- Check out the [FlowRunner](../examples/flow-runner) example to understand how
- to call a flow from a custom component.
-
diff --git a/docs/docs/components/inputs-and-outputs.mdx b/docs/docs/components/inputs-and-outputs.mdx
new file mode 100644
index 000000000..2a624221a
--- /dev/null
+++ b/docs/docs/components/inputs-and-outputs.mdx
@@ -0,0 +1,161 @@
+import Admonition from "@theme/Admonition";
+import ZoomableImage from "/src/theme/ZoomableImage.js";
+
+# Inputs and Outputs
+
+TL;DR: Inputs and Outputs are a category of components that are used to define where data comes in and out of your flow.
+They also dynamically change the Playground and can be renamed to facilitate building and maintaining your flows.
+
+## Inputs
+
+Inputs are components used to define where data enters your flow. They can receive data from the user, a database, or any other source that can be converted to Text or Record.
+
+The difference between Chat Input and other Input components is the output format, the number of configurable fields, and the way they are displayed in the Playground.
+
+Chat Input components can output `Text` or `Record`. When you want to pass the sender name or sender to the next component, use the `Record` output. To pass only the message, use the `Text` output, useful when saving the message to a database or memory system like Zep.
+
+You can find out more about Chat Input and other Inputs [here](#chat-input).
+
+### Chat Input
+
+This component collects user input from the chat.
+
+**Parameters**
+
+- **Sender Type:** Specifies the sender type. Defaults to `User`. Options are `Machine` and `User`.
+- **Sender Name:** Specifies the name of the sender. Defaults to `User`.
+- **Message:** Specifies the message text. It is a multiline text input.
+- **Session ID:** Specifies the session ID of the chat history. If provided, the message will be saved in the Message History.
+
+
+
+One significant capability of the Chat Input component is its ability to transform the Playground into a chat window. This feature is particularly valuable for scenarios requiring user input to initiate or influence the flow.
+
+
+
+### Text Input
+
+The **Text Input** component adds an **Input** field on the Playground. This enables you to define parameters while running and testing your flow.
+
+**Parameters**
+
+- **Value:** Specifies the text input value. This is where the user inputs text data that will be passed to the next component in the sequence. If no value is provided, it defaults to an empty string.
+- **Record Template:** Specifies how a `Record` should be converted into `Text`.
+
+The **Record Template** field is used to specify how a `Record` should be converted into `Text`. This is particularly useful when you want to extract specific information from a `Record` and pass it as text to the next component in the sequence.
+
+For example, if you have a `Record` with the following structure:
+
+```json
+{
+ "name": "John Doe",
+ "age": 30,
+ "email": "johndoe@email.com"
+}
+```
+
+A template with `Name: {name}, Age: {age}` will convert the `Record` into a text string of `Name: John Doe, Age: 30`.
+
+If you pass more than one `Record`, the text will be concatenated with a new line separator.
+
+
+
+## Outputs
+
+Outputs are components that are used to define where data comes out of your flow. They can be used to send data to the user, to the Playground, or to define how the data will be displayed in the Playground.
+
+The Chat Output works similarly to the Chat Input but does not have a field that allows for written input. It is used as an Output definition and can be used to send data to the user.
+
+You can find out more about it and the other Outputs [here](#chat-output).
+
+### Chat Output
+
+This component sends a message to the chat.
+
+**Parameters**
+
+- **Sender Type:** Specifies the sender type. Default is `"Machine"`. Options are `"Machine"` and `"User"`.
+
+- **Sender Name:** Specifies the sender's name. Default is `"AI"`.
+
+- **Session ID:** Specifies the session ID of the chat history. If provided, messages are saved in the Message History.
+
+- **Message:** Specifies the text of the message.
+
+
+
+### Text Output
+
+This component displays text data to the user. It is useful when you want to show text without sending it to the chat.
+
+**Parameters**
+
+- **Value:** Specifies the text data to be displayed. Defaults to an empty string.
+
+The `TextOutput` component provides a simple way to display text data. It allows textual data to be visible in the chat window during your interaction flow.
+
+## Prompts
+
+A prompt is the input provided to a language model, consisting of multiple components and can be parameterized using prompt templates. A prompt template offers a reproducible method for generating prompts, enabling easy customization through input variables.
+
+### Prompt
+
+This component creates a prompt template with dynamic variables. This is useful for structuring prompts and passing dynamic data to a language model.
+
+**Parameters**
+
+- **Template:** The template for the prompt. This field allows you to create other fields dynamically by using curly brackets `{}`. For example, if you have a template like `Hello {name}, how are you?`, a new field called `name` will be created. Prompt variables can be created with any name inside curly brackets, e.g. `{variable_name}`.
+
+
+
+### PromptTemplate
+
+The `PromptTemplate` component enables users to create prompts and define variables that control how the model is instructed. Users can input a set of variables which the template uses to generate the prompt when a conversation starts.
+
+
+
+- **template:** The template used to format an individual request.
diff --git a/docs/docs/components/inputs.mdx b/docs/docs/components/inputs.mdx
deleted file mode 100644
index 39962fece..000000000
--- a/docs/docs/components/inputs.mdx
+++ /dev/null
@@ -1,97 +0,0 @@
-import Admonition from "@theme/Admonition";
-import ZoomableImage from "/src/theme/ZoomableImage.js";
-
-# Inputs
-
-## Chat Input
-
-This component obtains user input from the chat.
-
-**Parameters**
-
-- **Sender Type:** Specifies the sender type. Defaults to `User`. Options are `Machine` and `User`.
-- **Sender Name:** Specifies the name of the sender. Defaults to `User`.
-- **Message:** Specifies the message text. It is a multiline text input.
-- **Session ID:** Specifies the session ID of the chat history. If provided, the message will be saved in the Message History.
-
-
-
-One significant capability of the Chat Input component is its ability to transform the Playground into a chat window. This feature is particularly valuable for scenarios requiring user input to initiate or influence the flow.
-
-
-
----
-
-## Prompt
-
-This component creates a prompt template with dynamic variables. This is useful for structuring prompts and passing dynamic data to a language model.
-
-**Parameters**
-
-- **Template:** The template for the prompt. This field allows you to create other fields dynamically by using curly brackets `{}`. For example, if you have a template like `Hello {name}, how are you?`, a new field called `name` will be created. Prompt variables can be created with any name inside curly brackets, e.g. `{variable_name}`.
-
-
-
----
-
-## Text Input
-
-The **Text Input** component adds an **Input** field on the Playground. This enables you to define parameters while running and testing your flow.
-
-**Parameters**
-
-- **Value:** Specifies the text input value. This is where the user inputs text data that will be passed to the next component in the sequence. If no value is provided, it defaults to an empty string.
-- **Record Template:** Specifies how a `Record` should be converted into `Text`.
-
-The **Record Template** field is used to specify how a `Record` should be converted into `Text`. This is particularly useful when you want to extract specific information from a `Record` and pass it as text to the next component in the sequence.
-
-For example, if you have a `Record` with the following structure:
-
-```json
-{
- "name": "John Doe",
- "age": 30,
- "email": "johndoe@email.com"
-}
-```
-
-A template with `Name: {name}, Age: {age}` will convert the `Record` into a text string of `Name: John Doe, Age: 30`.
-
-If you pass more than one `Record`, the text will be concatenated with a new line separator.
-
-
diff --git a/docs/docs/components/outputs.mdx b/docs/docs/components/outputs.mdx
deleted file mode 100644
index e4f00554f..000000000
--- a/docs/docs/components/outputs.mdx
+++ /dev/null
@@ -1,34 +0,0 @@
-import Admonition from "@theme/Admonition";
-
-# Outputs
-
-## Chat Output
-
-This component sends a message to the chat.
-
-**Parameters**
-
-- **Sender Type:** Specifies the sender type. Default is `"Machine"`. Options are `"Machine"` and `"User"`.
-
-- **Sender Name:** Specifies the sender's name. Default is `"AI"`.
-
-- **Session ID:** Specifies the session ID of the chat history. If provided, messages are saved in the Message History.
-
-- **Message:** Specifies the text of the message.
-
-
-
-## Text Output
-
-This component displays text data to the user. It is useful when you want to show text without sending it to the chat.
-
-**Parameters**
-
-- **Value:** Specifies the text data to be displayed. Defaults to an empty string.
-
-The `TextOutput` component provides a simple way to display text data. It allows textual data to be visible in the chat window during your interaction flow.
diff --git a/docs/docs/components/prompts.mdx b/docs/docs/components/prompts.mdx
deleted file mode 100644
index 8e4ea8925..000000000
--- a/docs/docs/components/prompts.mdx
+++ /dev/null
@@ -1,27 +0,0 @@
-import Admonition from "@theme/Admonition";
-
-# Prompts
-
-
-
-A prompt is the input provided to a language model, consisting of multiple components and can be parameterized using prompt templates. A prompt template offers a reproducible method for generating prompts, enabling easy customization through input variables.
-
----
-
-### PromptTemplate
-
-The `PromptTemplate` component enables users to create prompts and define variables that control how the model is instructed. Users can input a set of variables which the template uses to generate the prompt when a conversation starts.
-
-
-
-- **template:** The template used to format an individual request.
diff --git a/docs/docs/components/text-and-record.mdx b/docs/docs/components/text-and-record.mdx
new file mode 100644
index 000000000..24c16e4aa
--- /dev/null
+++ b/docs/docs/components/text-and-record.mdx
@@ -0,0 +1,49 @@
+# Text and Record
+
+In Langflow 1.0, we added two main input and output types: `Text` and `Record`.
+
+`Text` is a simple string input and output type, while `Record` is a structure very similar to a dictionary in Python. It is a key-value pair data structure.
+
+We've created a few components to help you work with these types. Let's see how a few of them work.
+
+## Records To Text
+
+This is a component that takes in Records and outputs a `Text`. It does this using a template string and concatenating the values of the `Record`, one per line.
+
+If we have the following Records:
+
+```json
+{
+ "sender_name": "Alice",
+ "message": "Hello!"
+}
+{
+ "sender_name": "John",
+ "message": "Hi!"
+}
+```
+
+And the template string is: _`{sender_name}: {message}`_
+
+The output is:
+
+```
+Alice: Hello!
+John: Hi!
+```
+
+## Create Record
+
+This component allows you to create a `Record` from a number of inputs. You can add as many key-value pairs as you want (as long as it is less than 15). Once you've picked that number you'll need to write the name of the Key and can pass `Text` values from other components to it.
+
+## Documents To Records
+
+This component takes in a LangChain `Document` and outputs a `Record`. It does this by extracting the `page_content` and the `metadata` from the `Document` and adding them to the `Record` as text and data respectively.
+
+## Why is this useful?
+
+The idea was to create a unified way to work with complex data in Langflow and to make it easier to work with data that is not just a simple string. This way you can create more complex workflows and use the data in more ways.
+
+## What's next?
+
+We are planning to integrate an array of modalities to Langflow, such as images, audio, and video. This will allow you to create even more complex workflows and use cases. Stay tuned for more updates! 🚀
diff --git a/docs/docs/components/vector-stores.mdx b/docs/docs/components/vector-stores.mdx
index 7e21f1021..6072abe29 100644
--- a/docs/docs/components/vector-stores.mdx
+++ b/docs/docs/components/vector-stores.mdx
@@ -1,6 +1,6 @@
import Admonition from "@theme/Admonition";
-# Vector Stores Documentation
+# Vector Stores
### Astra DB
diff --git a/docs/docs/contributing/contribute-component.md b/docs/docs/contributing/contribute-component.md
index b178a5882..f638434e2 100644
--- a/docs/docs/contributing/contribute-component.md
+++ b/docs/docs/contributing/contribute-component.md
@@ -1,6 +1,6 @@
import ZoomableImage from "/src/theme/ZoomableImage.js";
-# How to contribute components?
+# How to Contribute Components?
As of Langflow 1.0 alpha, new components are added as objects of the [CustomComponent](https://github.com/langflow-ai/langflow/blob/dev/src/backend/base/langflow/interface/custom/custom_component/custom_component.py) class and any dependencies are added to the [pyproject.toml](https://github.com/langflow-ai/langflow/blob/dev/pyproject.toml#L27) file.
diff --git a/docs/docs/examples/buffer-memory.mdx b/docs/docs/examples/buffer-memory.mdx
deleted file mode 100644
index b196f9031..000000000
--- a/docs/docs/examples/buffer-memory.mdx
+++ /dev/null
@@ -1,35 +0,0 @@
-import Admonition from "@theme/Admonition";
-
-# Buffer Memory
-
-For certain applications, retaining past interactions is crucial. For that, chains and agents may accept a memory component as one of their input parameters. The `ConversationBufferMemory` component is one of them. It stores messages and extracts them into variables.
-
-## ⛓️ Langflow Example
-
-import ThemedImage from "@theme/ThemedImage";
-import useBaseUrl from "@docusaurus/useBaseUrl";
-import ZoomableImage from "/src/theme/ZoomableImage.js";
-
-
diff --git a/docs/docs/examples/chat-memory.mdx b/docs/docs/examples/chat-memory.mdx
new file mode 100644
index 000000000..88dbbca2b
--- /dev/null
+++ b/docs/docs/examples/chat-memory.mdx
@@ -0,0 +1,17 @@
+import ThemedImage from "@theme/ThemedImage";
+import useBaseUrl from "@docusaurus/useBaseUrl";
+import ZoomableImage from "/src/theme/ZoomableImage.js";
+import ReactPlayer from "react-player";
+import Admonition from "@theme/Admonition";
+
+# Chat Memory
+
+The **Chat Memory** component restores previous messages given a Session ID, which can be any string.
+
+This component is available under the **Helpers** tab of the Langflow preview.
+
+
diff --git a/docs/docs/examples/combine-text.mdx b/docs/docs/examples/combine-text.mdx
new file mode 100644
index 000000000..5a4e86cf0
--- /dev/null
+++ b/docs/docs/examples/combine-text.mdx
@@ -0,0 +1,21 @@
+import ThemedImage from "@theme/ThemedImage";
+import useBaseUrl from "@docusaurus/useBaseUrl";
+import ZoomableImage from "/src/theme/ZoomableImage.js";
+import ReactPlayer from "react-player";
+import Admonition from "@theme/Admonition";
+
+# Combine Text
+
+With LLM pipelines, combining text from different sources may be as important as splitting text.
+
+The **Combine Text** component concatenates two text inputs into a single chunk using a specified delimiter, such as whitespace or a newline.
+
+Also, check out **Combine Texts (Unsorted)** as a similar alternative.
+
+This component is available under the **Helpers** tab of the Langflow preview.
+
+
diff --git a/docs/docs/examples/conversation-chain.mdx b/docs/docs/examples/conversation-chain.mdx
deleted file mode 100644
index 294d1b440..000000000
--- a/docs/docs/examples/conversation-chain.mdx
+++ /dev/null
@@ -1,41 +0,0 @@
-import Admonition from "@theme/Admonition";
-
-# Conversation Chain
-
-This example shows how to instantiate a simple `ConversationChain` component using a Language Model (LLM). Once the Node Status turns green 🟢, the chat will be ready to take in user messages. Here, we used `ChatOpenAI` to act as the required LLM input, but you can use any LLM for this purpose.
-
-
-
-## ⛓️ Langflow Example
-
-import ThemedImage from "@theme/ThemedImage";
-import useBaseUrl from "@docusaurus/useBaseUrl";
-import ZoomableImage from "/src/theme/ZoomableImage.js";
-
-
diff --git a/docs/docs/examples/create-record.mdx b/docs/docs/examples/create-record.mdx
new file mode 100644
index 000000000..aa7a886f4
--- /dev/null
+++ b/docs/docs/examples/create-record.mdx
@@ -0,0 +1,17 @@
+import ThemedImage from "@theme/ThemedImage";
+import useBaseUrl from "@docusaurus/useBaseUrl";
+import ZoomableImage from "/src/theme/ZoomableImage.js";
+import ReactPlayer from "react-player";
+import Admonition from "@theme/Admonition";
+
+# Create Record
+
+In Langflow, a `Record` has a structure very similar to a Python dictionary. It is a key-value pair data structure.
+
+The **Create Record** component allows you to dynamically create a `Record` from a specified number of inputs. You can add as many key-value pairs as you want (as long as it is less than 15 😅). Once you've chosen the number of `Records`, add keys and fill up values, or pass on values from other components to the component using the input handles.
+
+
diff --git a/docs/docs/examples/csv-loader.mdx b/docs/docs/examples/csv-loader.mdx
deleted file mode 100644
index 25f3bb444..000000000
--- a/docs/docs/examples/csv-loader.mdx
+++ /dev/null
@@ -1,57 +0,0 @@
-import Admonition from "@theme/Admonition";
-
-# CSV Loader
-
-The `VectoStoreAgent` component retrieves information from one or more vector stores. This example shows a `VectoStoreAgent` connected to a CSV file through the `Chroma` vector store. Process description:
-
-- The `CSVLoader` loads a CSV file into a list of documents.
-- The extracted data is then processed by the `CharacterTextSplitter`, which splits the text into small, meaningful chunks (usually sentences).
-- These chunks feed the `Chroma` vector store, which converts them into vectors and stores them for fast indexing.
-- Finally, the agent accesses the information of the vector store through the `VectorStoreInfo` tool.
-
-
-
-## ⛓️ Langflow Example
-
-import ThemedImage from "@theme/ThemedImage";
-import useBaseUrl from "@docusaurus/useBaseUrl";
-import ZoomableImage from "/src/theme/ZoomableImage.js";
-
-
diff --git a/docs/docs/examples/flow-runner.mdx b/docs/docs/examples/flow-runner.mdx
deleted file mode 100644
index fda7a8d39..000000000
--- a/docs/docs/examples/flow-runner.mdx
+++ /dev/null
@@ -1,368 +0,0 @@
----
-description: Custom Components
-hide_table_of_contents: true
----
-
-# FlowRunner Component
-
-The CustomComponent class allows us to create components that interact with Langflow itself. In this example, we will make a component that runs other flows available in "My Collection".
-
-
-
-We will cover how to:
-
-- List Collection flows using the _`list_flows`_ method.
-- Load a flow using the _`load_flow`_ method.
-- Configure a dropdown input field using the _`options`_ parameter.
-
-
-
-import ZoomableImage from "/src/theme/ZoomableImage.js";
-import Admonition from "@theme/Admonition";
diff --git a/docs/docs/examples/pass.mdx b/docs/docs/examples/pass.mdx
new file mode 100644
index 000000000..ddfe35cca
--- /dev/null
+++ b/docs/docs/examples/pass.mdx
@@ -0,0 +1,17 @@
+import ThemedImage from "@theme/ThemedImage";
+import useBaseUrl from "@docusaurus/useBaseUrl";
+import ZoomableImage from "/src/theme/ZoomableImage.js";
+import ReactPlayer from "react-player";
+import Admonition from "@theme/Admonition";
+
+# Pass
+
+Sometimes all you need to do is… nothing!
+
+The **Pass** component enables you to ignore one input and move forward with another one. This is super helpful to swap routes for A/B testing!
+
+
diff --git a/docs/docs/examples/python-function.mdx b/docs/docs/examples/python-function.mdx
deleted file mode 100644
index 2bb4b93e1..000000000
--- a/docs/docs/examples/python-function.mdx
+++ /dev/null
@@ -1,62 +0,0 @@
-import Admonition from "@theme/Admonition";
-
-# Python Function
-
-Langflow allows you to create a customized tool using the `PythonFunction` connected to a `Tool` component. In this example, Regex is used in Python to validate a pattern.
-
-```python
-import re
-
-def is_brazilian_zipcode(zipcode: str) -> bool:
- pattern = r"\d{5}-?\d{3}"
-
- # Check if the zip code matches the pattern
- if re.match(pattern, zipcode):
- return True
-
- return False
-```
-
-
-
-The `AgentInitializer` component is a quick way to construct an agent from the model and tools.
-
-
-
-## ⛓️ Langflow Example
-
-import ThemedImage from "@theme/ThemedImage";
-import useBaseUrl from "@docusaurus/useBaseUrl";
-import ZoomableImage from "/src/theme/ZoomableImage.js";
-
-
diff --git a/docs/docs/examples/searchapi-tool.mdx b/docs/docs/examples/searchapi-tool.mdx
deleted file mode 100644
index d3cb4734a..000000000
--- a/docs/docs/examples/searchapi-tool.mdx
+++ /dev/null
@@ -1,52 +0,0 @@
-import Admonition from "@theme/Admonition";
-
-# SearchApi Tool
-
-The [SearchApi](https://www.searchapi.io/) allows developers to retrieve results from search engines such as Google, Google Scholar, YouTube, YouTube transcripts, and more, and can be used as in Langflow through the `SearchApi` tool.
-
-
-
-In the given example, we specify `engine` as `youtube_transcripts` and provide a `video_id`.
-
-
-
-The `RetrievalQA` chain processes a `Document` along with a user's question to return an answer.
-
-
-
-The `RetrievalQA` takes `CombineDocsChain` and `SearchApi` tool as inputs, using the tool as a `Document` to answer questions.
-
-
-
-## ⛓️ Langflow Example
-
-import ThemedImage from "@theme/ThemedImage";
-import useBaseUrl from "@docusaurus/useBaseUrl";
-import ZoomableImage from "/src/theme/ZoomableImage.js";
-
-
\ No newline at end of file
diff --git a/docs/docs/examples/serp-api-tool.mdx b/docs/docs/examples/serp-api-tool.mdx
deleted file mode 100644
index 175b6f1be..000000000
--- a/docs/docs/examples/serp-api-tool.mdx
+++ /dev/null
@@ -1,58 +0,0 @@
-import Admonition from "@theme/Admonition";
-
-# Serp API Tool
-
-The [Serp API](https://serpapi.com/) (Search Engine Results Page) allows developers to scrape results from search engines such as Google, Bing and Yahoo, and can be used as in Langflow through the `Search` component.
-
-
-
-Here, the `ZeroShotPrompt` component specifies a prompt template for the `ZeroShotAgent`. Set a _Prefix_ and _Suffix_ with rules for the agent to obey. In the example, we used default templates.
-
-The `LLMChain` is a simple chain that takes in a prompt template, formats it with the user input, and returns the response from an LLM.
-
-
-
-The `ZeroShotAgent` takes the `LLMChain` and the `Search` tool as inputs, using the tool to find information when necessary.
-
-
-
-## ⛓️ Langflow Example
-
-import ThemedImage from "@theme/ThemedImage";
-import useBaseUrl from "@docusaurus/useBaseUrl";
-import ZoomableImage from "/src/theme/ZoomableImage.js";
-
-
diff --git a/docs/docs/examples/store-message.mdx b/docs/docs/examples/store-message.mdx
new file mode 100644
index 000000000..75ff0bd46
--- /dev/null
+++ b/docs/docs/examples/store-message.mdx
@@ -0,0 +1,17 @@
+import ThemedImage from "@theme/ThemedImage";
+import useBaseUrl from "@docusaurus/useBaseUrl";
+import ZoomableImage from "/src/theme/ZoomableImage.js";
+import ReactPlayer from "react-player";
+import Admonition from "@theme/Admonition";
+
+# Store Message
+
+The **Store Message** component allows you to save information under a specified Session ID and sender type.
+
+The **Message History** component can then be used to retrieve stored messages.
+
+
diff --git a/docs/docs/examples/sub-flow.mdx b/docs/docs/examples/sub-flow.mdx
new file mode 100644
index 000000000..d2b9674ad
--- /dev/null
+++ b/docs/docs/examples/sub-flow.mdx
@@ -0,0 +1,15 @@
+import ThemedImage from "@theme/ThemedImage";
+import useBaseUrl from "@docusaurus/useBaseUrl";
+import ZoomableImage from "/src/theme/ZoomableImage.js";
+import ReactPlayer from "react-player";
+import Admonition from "@theme/Admonition";
+
+# Sub Flow
+
+The **Sub Flow** component enables a user to select a previously built flow and dynamically generate a component out of it.
+
+
diff --git a/docs/docs/examples/text-operator.mdx b/docs/docs/examples/text-operator.mdx
new file mode 100644
index 000000000..50d52fdbf
--- /dev/null
+++ b/docs/docs/examples/text-operator.mdx
@@ -0,0 +1,15 @@
+import ThemedImage from "@theme/ThemedImage";
+import useBaseUrl from "@docusaurus/useBaseUrl";
+import ZoomableImage from "/src/theme/ZoomableImage.js";
+import ReactPlayer from "react-player";
+import Admonition from "@theme/Admonition";
+
+# Text Operator
+
+The **Text Operator** component simplifies logic. It evaluates the results from another component (for example, if the input text exactly equals `Tuna`) and runs another component based on the results. Basically, the text operator is an if/else component for your flow.
+
+
diff --git a/docs/docs/getting-started/canvas.mdx b/docs/docs/getting-started/canvas.mdx
index 0e1a6626c..5974f245b 100644
--- a/docs/docs/getting-started/canvas.mdx
+++ b/docs/docs/getting-started/canvas.mdx
@@ -4,7 +4,7 @@ import ZoomableImage from "/src/theme/ZoomableImage.js";
import ReactPlayer from "react-player";
import Admonition from "@theme/Admonition";
-# 🎨 Langflow canvas
+# 🎨 Langflow Canvas
The **Langflow canvas** is the central hub of Langflow, where you'll assemble new flows from components, run them, and see the results.
@@ -20,11 +20,38 @@ You can either build this flow yourself, or select **New Project** > **Basic pro
style={{ width: "30%", margin: "20px auto" }}
/>
-For more on the difference between flows, components, collections, and projects, see [Flows, collections, components, and projects](./flows-components-collections.mdx).
+## Flows, components, collections, and projects
-## Components
+A [flow](#flow) is a pipeline of components connected together in the Langflow canvas.
-A component is a building block of a flow.
+A [component](#component) is a single building block within a flow. A component has inputs, outputs, and parameters that define its functionality.
+
+A [collection](#collection) is a snapshot of the flows available in your database. Collections can be downloaded to local storage and uploaded for future use.
+
+A [project](#project) can be a component or a flow. Projects are saved as part of your collection.
+
+For example, the **OpenAI LLM** is a **component** of the **Basic prompting** flow, and the **flow** is stored in a **collection**.
+
+## Flow
+
+A **flow** is a pipeline of components connected together in the Langflow canvas.
+
+For example, the [Basic prompting](../starter-projects/basic-prompting.mdx) flow is a pipeline of four components:
+
+
+
+In this flow, the **OpenAI LLM component** receives input (left side) and produces output (right side) - in this case, receiving input from the **Chat Input** and **Prompt** components and producing output to the **Chat Output** component.
+
+## Component
+
+Components are the building blocks of flows. They consist of inputs, outputs, and parameters that define their functionality. These elements provide a convenient and straightforward way to compose LLM-based applications. Learn more about components and how they work in the LangChain [documentation](https://python.langchain.com/docs/integrations/components).
During the flow creation process, you will notice handles (colored circles)
@@ -55,7 +82,7 @@ A component is a building block of a flow.
In the top right corner of the component, you'll find the component status icon ().
-Run the flow by clicking the **Playground** button at the bottom right of the canvas.
+Build the flow by clicking the **Playground** at the bottom right of the canvas.
Once the validation is complete, the status of each validated component should turn green ().
To debug, hover over the component status to see the outputs.
@@ -64,6 +91,16 @@ To debug, hover over the component status to see the outputs.
---
+### Component Parameters
+
+Langflow components can be edited by clicking the component settings button. Hide parameters to reduce complexity and keep the canvas clean and intuitive for experimentation.
+
+
+
+
+
### Component menu
Each component is a little unique, but they will all have a menu bar on top that looks something like this.
@@ -78,7 +115,7 @@ The menu options are **Code**, **Save**, **Duplicate**, and **More**.
style={{ width: "30%", margin: "20px auto" }}
/>
-#### Code
+### Code menu
The **Code** button displays your component's Python code.
You can modify the code and save it.
@@ -191,6 +228,34 @@ For example, changing the **Chat Input** component's `input_value` will change t
+## Collection
+
+A collection is a snapshot of flows available in a database.
+
+Collections can be downloaded to local storage and uploaded for future use.
+
+
+
+
+
+## Project
+
+A **Project** can be a flow or a component. To view your saved projects, select **My Collection**.
+
+Your **Projects** are displayed.
+
+Click the ** Playground** button to run a flow from the **My Collection** screen.
+
+In the top left corner of the screen are options for **Download Collection**, **Upload Collection**, and **New Project**.
+
+Select **Download Collection** to save your project to your local machine. This downloads all flows and components as a `.json` file.
+
+Select **Upload Collection** to upload a flow or component `.json` file from your local machine.
+
+Select **New Project** to create a new project. In addition to a blank canvas, [starter projects](../starter-projects/basic-prompting.mdx) are also available.
+
## Project options menu
To see options for your project, in the upper left corner of the canvas, select the dropdown menu.
diff --git a/docs/docs/getting-started/flows-components-collections.mdx b/docs/docs/getting-started/flows-components-collections.mdx
index a1e7f95a8..335fb5c12 100644
--- a/docs/docs/getting-started/flows-components-collections.mdx
+++ b/docs/docs/getting-started/flows-components-collections.mdx
@@ -17,99 +17,4 @@ A [project](#project) can be a component or a flow. Projects are saved as part o
For example, the **OpenAI LLM** is a **component** of the **Basic prompting** flow, and the **flow** is stored in a **collection**.
-## Flow
-
-A **flow** is a pipeline of components connected together in the Langflow canvas.
-
-For example, the [Basic prompting](../starter-projects/basic-prompting.mdx) flow is a pipeline of four components:
-
-
-
-For example, the **OpenAI LLM component** receives input (left side) and produces output (right side) - in this case, receiving input from the **Chat Input** and **Prompt** components and producing output to the **Chat Output** component.
-
## Component
-
-Components are the building blocks of flows. They consist of inputs, outputs, and parameters that define their functionality. These elements provide a convenient and straightforward way to compose LLM-based applications. Learn more about components and how they work in the LangChain [documentation](https://python.langchain.com/docs/integrations/components).
-
-
- During the flow creation process, you will notice handles (colored circles)
- attached to one or both sides of a component. These handles represent the
- availability to connect to other components. Hover over a handle to see
- connection details.
-
-
-
- For example, if you select a ConversationChain component, you
- will see orange o and purple{" "}
- o input handles. They indicate that
- this component accepts an LLM and a Memory component as inputs. The red
- asterisk * means that at least one input
- of that type is required.
-
-
-{" "}
-
-
-
-
-In the top right corner of the component, you'll find the component status icon ().
-Build the flow by clicking the **Playground** at the bottom right of the canvas.
-
-Once the validation is complete, the status of each validated component should turn green ().
-To debug, hover over the component status to see the outputs.
-
-
-
----
-
-### Component Parameters
-
-Langflow components can be edited by clicking the component settings button. Hide parameters to reduce complexity and keep the canvas clean and intuitive for experimentation.
-
-
-
-
-
-## Collection
-
-A collection is a snapshot of flows available in a database.
-
-Collections can be downloaded to local storage and uploaded for future use.
-
-
-
-
-
-## Project
-
-A **Project** can be a flow or a component. To view your saved projects, select **My Collection**.
-
-Your **Projects** are displayed.
-
-Click the ** Playground** button to run a flow from the **My Collection** screen.
-
-In the top left corner of the screen are options for **Download Collection**, **Upload Collection**, and **New Project**.
-
-Select **Download Collection** to save your project to your local machine. This downloads all flows and components as a `.json` file.
-
-Select **Upload Collection** to upload a flow or component `.json` file from your local machine.
-
-Select **New Project** to create a new project. In addition to a blank canvas, [starter projects](../starter-projects/basic-prompting.mdx) are also available.
diff --git a/docs/docs/getting-started/huggingface-spaces.mdx b/docs/docs/getting-started/huggingface-spaces.mdx
deleted file mode 100644
index ec3f4b989..000000000
--- a/docs/docs/getting-started/huggingface-spaces.mdx
+++ /dev/null
@@ -1,38 +0,0 @@
-import ThemedImage from "@theme/ThemedImage";
-import useBaseUrl from "@docusaurus/useBaseUrl";
-import ZoomableImage from "/src/theme/ZoomableImage.js";
-import Admonition from "@theme/Admonition";
-
-# 🤗 HuggingFace Spaces
-
-HuggingFace provides a great alternative for running Langflow in their Spaces environment. This means you can run Langflow without any local installation required.
-
-In a Chromium-based browser, go to the [Langflow Space](https://huggingface.co/spaces/Langflow/Langflow?duplicate=true) or [Langflow v1.0 alpha Preview Space](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true).
-
-You'll be presented with the following screen:
-
-
-
-Name your Space, define the visibility (Public or Private), and click on **Duplicate Space** to start the installation process. When installation is finished, you'll be redirected to the Space's main page to start using Langflow right away!
-
-## Run a starter project
-
-Langflow provides a range of example flows to help you get started.
-
-Once you get Langflow running in your Space, click on **New Project** in the top right corner of the screen.
-
-Select a starter project from the list, set up your API keys, and click ⚡ Run. This will open up Langflow's Interaction Panel with the chat console, text inputs, and outputs ready to go.
-
-For more information on the starter projects, see the guides below:
-
-- [Basic prompting](/starter-projects/basic-prompting.mdx)
-- [Memory chatbot](/starter-projects/memory-chatbot.mdx)
-- [Blog writer](/starter-projects/blog-writer.mdx)
-- [Document QA](/starter-projects/document-qa.mdx)
diff --git a/docs/docs/getting-started/install-langflow.mdx b/docs/docs/getting-started/install-langflow.mdx
index 0469b6678..4beb5e362 100644
--- a/docs/docs/getting-started/install-langflow.mdx
+++ b/docs/docs/getting-started/install-langflow.mdx
@@ -6,12 +6,13 @@ import Admonition from "@theme/Admonition";
# 📦 Install Langflow
-
-Langflow v1.0 alpha is also available in [HuggingFace Spaces](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true). Try it out or follow the instructions [here](./huggingface-spaces) to install it locally.
-
+ Langflow v1.0 alpha is also available in HuggingFace Spaces. [Clone the space
+ using this
+ link](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true),
+ to create your own Langflow workspace in minutes.
-Langflow requires [Python 3.10](https://www.python.org/downloads/release/python-3100/) and [pip](https://pypi.org/project/pip/) or [pipx](https://pipx.pypa.io/stable/installation/) to be installed on your system.
+Langflow requires [Python >=3.10](https://www.python.org/downloads/release/python-3100/) and [pip](https://pypi.org/project/pip/) or [pipx](https://pipx.pypa.io/stable/installation/) to be installed on your system.
Install Langflow with pip:
@@ -73,3 +74,22 @@ python -m langflow run
```
3. Continue on to the [Quickstart](./quickstart.mdx).
+
+## HuggingFace Spaces
+
+HuggingFace provides a great alternative for running Langflow in their Spaces environment. This means you can run Langflow without any local installation required.
+
+In a Chromium-based browser, go to the [Langflow Space](https://huggingface.co/spaces/Langflow/Langflow?duplicate=true) or [Langflow v1.0 alpha Preview Space](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true).
+
+You'll be presented with the following screen:
+
+
+
+Name your Space, define the visibility (Public or Private), and click on **Duplicate Space** to start the installation process. When installation is finished, you'll be redirected to the Space's main page to start using Langflow right away!
diff --git a/docs/docs/getting-started/quickstart.mdx b/docs/docs/getting-started/quickstart.mdx
index 9ecfb44b7..3f02db27f 100644
--- a/docs/docs/getting-started/quickstart.mdx
+++ b/docs/docs/getting-started/quickstart.mdx
@@ -10,15 +10,15 @@ This guide demonstrates how to build a basic prompt flow and modify that prompt
## Prerequisites
-- [Langflow installed](./install-langflow.mdx)
+- [Langflow installed and running](./install-langflow.mdx)
- [OpenAI API key](https://platform.openai.com)
- Langflow v1.0 alpha is also available in [HuggingFace
- Spaces](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true).
- Try it out or follow the instructions [here](./huggingface-spaces) to install
- it locally.
+ Langflow v1.0 alpha is also available in HuggingFace Spaces. [Clone the space
+ using this
+ link](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true)
+ to create your own Langflow workspace in minutes.
## Hello World - Basic Prompting
diff --git a/docs/docs/index.mdx b/docs/docs/index.mdx
index e807ee086..e762142f0 100644
--- a/docs/docs/index.mdx
+++ b/docs/docs/index.mdx
@@ -14,8 +14,8 @@ Its intuitive interface allows for easy manipulation of AI building blocks, enab
@@ -26,9 +26,14 @@ Its intuitive interface allows for easy manipulation of AI building blocks, enab
- [Quickstart](/getting-started/quickstart) - Create a flow and run it.
-- [HuggingFace Spaces](/getting-started/huggingface-spaces) - Duplicate the Langflow preview space and try it out before you install.
+- [Langflow Canvas](/getting-started/canvas) - Learn more about the Langflow canvas.
-- [New to LLMs?](/getting-started/new-to-llms) - Learn more about LLMs, prompting, and more at [promptingguide.ai](https://promptingguide.ai).
+
+ Langflow v1.0 alpha is also available in HuggingFace Spaces. [Clone the space
+ using this
+ link](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true)
+ to create your own Langflow workspace in minutes.
+
## Learn more about Langflow 1.0
diff --git a/docs/docs/integrations/notion/add-content-to-page.md b/docs/docs/integrations/notion/add-content-to-page.md
new file mode 100644
index 000000000..243c09d81
--- /dev/null
+++ b/docs/docs/integrations/notion/add-content-to-page.md
@@ -0,0 +1,138 @@
+import Admonition from "@theme/Admonition";
+import ThemedImage from "@theme/ThemedImage";
+import useBaseUrl from "@docusaurus/useBaseUrl";
+import ZoomableImage from "/src/theme/ZoomableImage.js";
+
+# Add Content To Page
+
+The `AddContentToPage` component converts markdown text to Notion blocks and appends them to a Notion page.
+
+[Notion Reference](https://developers.notion.com/reference/patch-block-children)
+
+
+
+The `AddContentToPage` component enables you to:
+
+- Convert markdown text to Notion blocks.
+- Append the converted blocks to a specified Notion page.
+- Seamlessly integrate Notion content creation into Langflow workflows.
+
+
+## Component Usage
+
+To use the `AddContentToPage` component in a Langflow flow:
+
+1. **Add the `AddContentToPage` component** to your flow.
+2. **Configure the component** by providing:
+ - `markdown_text`: The markdown text to convert.
+ - `block_id`: The ID of the Notion page/block to append the content.
+ - `notion_secret`: The Notion integration token for authentication.
+3. **Connect the component** to other nodes in your flow as needed.
+4. **Run the flow** to convert the markdown text and append it to the specified Notion page.
+
+## Component Python Code
+
+```python
+import json
+from typing import Optional
+
+import requests
+from langflow.custom import CustomComponent
+
+
+class NotionPageCreator(CustomComponent):
+ display_name = "Create Page [Notion]"
+ description = "A component for creating Notion pages."
+ documentation: str = "https://docs.langflow.org/integrations/notion/add-content-to-page"
+ icon = "NotionDirectoryLoader"
+
+ def build_config(self):
+ return {
+ "database_id": {
+ "display_name": "Database ID",
+ "field_type": "str",
+ "info": "The ID of the Notion database.",
+ },
+ "notion_secret": {
+ "display_name": "Notion Secret",
+ "field_type": "str",
+ "info": "The Notion integration token.",
+ "password": True,
+ },
+ "properties": {
+ "display_name": "Properties",
+ "field_type": "str",
+ "info": "The properties of the new page. Depending on your database setup, this can change. E.G: {'Task name': {'id': 'title', 'type': 'title', 'title': [{'type': 'text', 'text': {'content': 'Send Notion Components to LF', 'link': null}}]}}",
+ },
+ }
+
+ def build(
+ self,
+ database_id: str,
+ notion_secret: str,
+ properties: str = '{"Task name": {"id": "title", "type": "title", "title": [{"type": "text", "text": {"content": "Send Notion Components to LF", "link": null}}]}}',
+ ) -> str:
+ if not database_id or not properties:
+ raise ValueError("Invalid input. Please provide 'database_id' and 'properties'.")
+
+ headers = {
+ "Authorization": f"Bearer {notion_secret}",
+ "Content-Type": "application/json",
+ "Notion-Version": "2022-06-28",
+ }
+
+ data = {
+ "parent": {"database_id": database_id},
+ "properties": json.loads(properties),
+ }
+
+ response = requests.post("https://api.notion.com/v1/pages", headers=headers, json=data)
+
+ if response.status_code == 200:
+ page_id = response.json()["id"]
+ self.status = f"Successfully created Notion page with ID: {page_id}\n {str(response.json())}"
+ return response.json()
+ else:
+ error_message = f"Failed to create Notion page. Status code: {response.status_code}, Error: {response.text}"
+ self.status = error_message
+ raise Exception(error_message)
+```
+
+## Example Usage
+
+
+
+Example of using the `AddContentToPage` component in a Langflow flow using Markdown as input:
+
+
+
+In this example, the `AddContentToPage` component connects to a `MarkdownLoader` component to provide the markdown text input. The converted Notion blocks are appended to the specified Notion page using the provided `block_id` and `notion_secret`.
+
+
+
+## Best Practices
+
+When using the `AddContentToPage` component:
+
+- Ensure markdown text is well-formatted.
+- Verify the `block_id` corresponds to the right Notion page/block.
+- Keep your Notion integration token secure.
+- Test with sample markdown text before production use.
+
+The `AddContentToPage` component is a powerful tool for integrating Notion content creation into Langflow workflows, facilitating easy conversion of markdown text to Notion blocks and appending them to specific pages.
+
+## Troubleshooting
+
+If you encounter any issues while using the `AddContentToPage` component, consider the following:
+
+- Verify the Notion integration token’s validity and permissions.
+- Check the Notion API documentation for updates.
+- Ensure markdown text is properly formatted.
+- Double-check the `block_id` for correctness.
diff --git a/docs/docs/integrations/notion/intro.md b/docs/docs/integrations/notion/intro.md
new file mode 100644
index 000000000..293038d4f
--- /dev/null
+++ b/docs/docs/integrations/notion/intro.md
@@ -0,0 +1,43 @@
+import Admonition from "@theme/Admonition";
+import ThemedImage from "@theme/ThemedImage";
+import useBaseUrl from "@docusaurus/useBaseUrl";
+import ZoomableImage from "/src/theme/ZoomableImage.js";
+
+# Introduction to Notion in Langflow
+
+The Notion integration in Langflow enables seamless connectivity with Notion databases, pages, and users, facilitating automation and improving productivity.
+
+
+
+####
Download Notion Components Bundle
+
+### Key Features of Notion Integration in Langflow
+
+- **List Pages**: Retrieve a list of pages from a Notion database and access data stored in your Notion workspace.
+- **List Database Properties**: Obtain insights into the properties of a Notion database, allowing for easy understanding of its structure and metadata.
+- **Add Page Content**: Programmatically add new content to a Notion page, simplifying the creation and updating of pages.
+- **List Users**: Retrieve a list of users with access to a Notion workspace, aiding in user management and collaboration.
+- **Update Property**: Update the value of a specific property in a Notion page, enabling easy modification and maintenance of Notion data.
+
+### Potential Use Cases for Notion Integration in Langflow
+
+- **Task Automation**: Automate task creation in Notion using Langflow's AI capabilities. Describe the required tasks, and they will be automatically created and updated in Notion.
+- **Context Extraction from Meetings**: Leverage AI to analyze meeting contexts, extract key points, and update the relevant Notion pages automatically.
+- **Content Creation**: Utilize AI to generate ideas, suggest templates, and populate Notion pages with relevant data, enhancing content management efficiency.
+
+### Getting Started with Notion Integration in Langflow
+
+1. **Set Up Notion Integration**: Follow the guide [Setting up a Notion App](./setup) to set up a Notion integration in your workspace.
+2. **Configure Notion Components**: Provide the necessary authentication details and parameters to configure the Notion components in your Langflow flows.
+3. **Connect Components**: Integrate Notion components with other Langflow components to build your workflow.
+4. **Test and Refine**: Ensure your Langflow flow operates as intended by testing and refining it.
+5. **Deploy and Run**: Deploy your Langflow flow to automate Notion-related tasks and processes.
+
+The Notion integration in Langflow offers a powerful toolset for automation and productivity enhancement. Whether managing tasks, extracting meeting insights, or creating content, Langflow and Notion provide robust solutions for streamlining workflows.
diff --git a/docs/docs/integrations/notion/list-database-properties.md b/docs/docs/integrations/notion/list-database-properties.md
new file mode 100644
index 000000000..c41159893
--- /dev/null
+++ b/docs/docs/integrations/notion/list-database-properties.md
@@ -0,0 +1,117 @@
+import Admonition from "@theme/Admonition";
+import ThemedImage from "@theme/ThemedImage";
+import useBaseUrl from "@docusaurus/useBaseUrl";
+import ZoomableImage from "/src/theme/ZoomableImage.js";
+
+# Database Properties
+
+The `NotionDatabaseProperties` component retrieves properties of a Notion database. It provides a convenient way to integrate Notion database information into your Langflow workflows.
+
+[Notion Reference](https://developers.notion.com/reference/post-database-query)
+
+
+The `NotionDatabaseProperties` component enables you to:
+- Retrieve properties of a Notion database
+- Access the retrieved properties in your Langflow flows
+- Integrate Notion database information seamlessly into your workflows
+
+
+## Component Usage
+
+To use the `NotionDatabaseProperties` component in a Langflow flow, follow these steps:
+
+1. Add the `NotionDatabaseProperties` component to your flow.
+2. Configure the component by providing the required inputs:
+ - `database_id`: The ID of the Notion database you want to retrieve properties from.
+ - `notion_secret`: The Notion integration token for authentication.
+3. Connect the output of the `NotionDatabaseProperties` component to other components in your flow as needed.
+
+## Component Python code
+
+```python
+import requests
+from typing import Dict
+
+from langflow import CustomComponent
+from langflow.schema import Record
+
+
+class NotionDatabaseProperties(CustomComponent):
+ display_name = "List Database Properties [Notion]"
+ description = "Retrieve properties of a Notion database."
+ documentation: str = "https://docs.langflow.org/integrations/notion/list-database-properties"
+ icon = "NotionDirectoryLoader"
+
+ def build_config(self):
+ return {
+ "database_id": {
+ "display_name": "Database ID",
+ "field_type": "str",
+ "info": "The ID of the Notion database.",
+ },
+ "notion_secret": {
+ "display_name": "Notion Secret",
+ "field_type": "str",
+ "info": "The Notion integration token.",
+ "password": True,
+ },
+ }
+
+ def build(
+ self,
+ database_id: str,
+ notion_secret: str,
+ ) -> Record:
+ url = f"https://api.notion.com/v1/databases/{database_id}"
+ headers = {
+ "Authorization": f"Bearer {notion_secret}",
+ "Notion-Version": "2022-06-28", # Use the latest supported version
+ }
+
+ response = requests.get(url, headers=headers)
+ response.raise_for_status()
+
+ data = response.json()
+ properties = data.get("properties", {})
+
+ record = Record(text=str(response.json()), data=properties)
+ self.status = f"Retrieved {len(properties)} properties from the Notion database.\n {record.text}"
+ return record
+```
+
+## Example Usage
+
+
+Here's an example of how you can use the `NotionDatabaseProperties` component in a Langflow flow:
+
+
+
+In this example, the `NotionDatabaseProperties` component retrieves the properties of a Notion database, and the retrieved properties are then used as input for subsequent components in the flow.
+
+
+## Best Practices
+
+When using the `NotionDatabaseProperties` component, consider the following best practices:
+
+- Ensure that you have a valid Notion integration token with the necessary permissions to access the desired database.
+- Double-check the database ID to avoid retrieving properties from the wrong database.
+- Handle potential errors gracefully by checking the response status and providing appropriate error messages.
+
+The `NotionDatabaseProperties` component simplifies the process of retrieving properties from a Notion database and integrating them into your Langflow workflows. By leveraging this component, you can easily access and utilize Notion database information in your flows, enabling powerful integrations and automations.
+
+Feel free to explore the capabilities of the `NotionDatabaseProperties` component and experiment with different use cases to enhance your Langflow workflows!
+
+## Troubleshooting
+
+If you encounter any issues while using the `NotionDatabaseProperties` component, consider the following:
+
+- Verify that the Notion integration token is valid and has the required permissions.
+- Check the database ID to ensure it matches the intended Notion database.
+- Inspect the response from the Notion API for any error messages or status codes that may indicate the cause of the issue.
diff --git a/docs/docs/integrations/notion/list-pages.md b/docs/docs/integrations/notion/list-pages.md
new file mode 100644
index 000000000..ea1b04950
--- /dev/null
+++ b/docs/docs/integrations/notion/list-pages.md
@@ -0,0 +1,179 @@
+import Admonition from "@theme/Admonition";
+import ThemedImage from "@theme/ThemedImage";
+import useBaseUrl from "@docusaurus/useBaseUrl";
+import ZoomableImage from "/src/theme/ZoomableImage.js";
+
+# List Pages
+
+The `NotionListPages` component queries a Notion database with filtering and sorting. It provides a convenient way to integrate Notion database querying capabilities into your Langflow workflows.
+
+[Notion Reference](https://developers.notion.com/reference/post-database-query)
+
+
+ The `NotionListPages` component enables you to:
+
+- Query a Notion database with custom filters and sorting options
+- Retrieve specific pages from a Notion database based on the provided criteria
+- Integrate Notion database data seamlessly into your Langflow workflows
+
+
+
+## Component Usage
+
+To use the `NotionListPages
+` component in a Langflow flow, follow these steps:
+
+1. **Add the `NotionListPages
+` component to your flow.**
+2. **Configure the component by providing the required parameters:**
+ - `notion_secret`: The Notion integration token for authentication.
+ - `database_id`: The ID of the Notion database you want to query.
+ - `query_payload`: A JSON string containing the filters and sorting options for the query.
+3. **Connect the `NotionListPages
+` component to other components in your flow as needed.**
+
+## Component Python code
+
+```python
+import requests
+import json
+from typing import Dict, Any, List
+from langflow.custom import CustomComponent
+from langflow.schema import Record
+
+class NotionListPages(CustomComponent):
+ display_name = "List Pages [Notion]"
+ description = (
+ "Query a Notion database with filtering and sorting. "
+ "The input should be a JSON string containing the 'filter' and 'sorts' objects. "
+ "Example input:\n"
+ '{"filter": {"property": "Status", "select": {"equals": "Done"}}, "sorts": [{"timestamp": "created_time", "direction": "descending"}]}'
+ )
+ documentation: str = "https://docs.langflow.org/integrations/notion/list-pages"
+ icon = "NotionDirectoryLoader"
+
+ field_order = [
+ "notion_secret",
+ "database_id",
+ "query_payload",
+ ]
+
+ def build_config(self):
+ return {
+ "notion_secret": {
+ "display_name": "Notion Secret",
+ "field_type": "str",
+ "info": "The Notion integration token.",
+ "password": True,
+ },
+ "database_id": {
+ "display_name": "Database ID",
+ "field_type": "str",
+ "info": "The ID of the Notion database to query.",
+ },
+ "query_payload": {
+ "display_name": "Database query",
+ "field_type": "str",
+ "info": "A JSON string containing the filters that will be used for querying the database. EG: {'filter': {'property': 'Status', 'status': {'equals': 'In progress'}}}",
+ },
+ }
+
+ def build(
+ self,
+ notion_secret: str,
+ database_id: str,
+ query_payload: str = "{}",
+ ) -> List[Record]:
+ try:
+ query_data = json.loads(query_payload)
+ filter_obj = query_data.get("filter")
+ sorts = query_data.get("sorts", [])
+
+ url = f"https://api.notion.com/v1/databases/{database_id}/query"
+ headers = {
+ "Authorization": f"Bearer {notion_secret}",
+ "Content-Type": "application/json",
+ "Notion-Version": "2022-06-28",
+ }
+
+ data = {
+ "sorts": sorts,
+ }
+
+ if filter_obj:
+ data["filter"] = filter_obj
+
+ response = requests.post(url, headers=headers, json=data)
+ response.raise_for_status()
+
+ results = response.json()
+ records = []
+ combined_text = f"Pages found: {len(results['results'])}\n\n"
+ for page in results['results']:
+ page_data = {
+ 'id': page['id'],
+ 'url': page['url'],
+ 'created_time': page['created_time'],
+ 'last_edited_time': page['last_edited_time'],
+ 'properties': page['properties'],
+ }
+
+ text = (
+ f"id: {page['id']}\n"
+ f"url: {page['url']}\n"
+ f"created_time: {page['created_time']}\n"
+ f"last_edited_time: {page['last_edited_time']}\n"
+ f"properties: {json.dumps(page['properties'], indent=2)}\n\n"
+ )
+
+ combined_text += text
+ records.append(Record(text=text, data=page_data))
+
+ self.status = combined_text.strip()
+ return records
+
+ except Exception as e:
+ self.status = f"An error occurred: {str(e)}"
+ return [Record(text=self.status, data=[])]
+```
+
+
+
+## Example Usage
+
+Here's an example of how you can use the `NotionListPages` component in a Langflow flow and passing to the Prompt component:
+
+
+
+In this example, the `NotionListPages` component is used to retrieve specific pages from a Notion database based on the provided filters and sorting options. The retrieved data can then be processed further in the subsequent components of the flow.
+
+
+## Best Practices
+
+When using the `NotionListPages
+` component, consider the following best practices:
+
+- Ensure that you have a valid Notion integration token with the necessary permissions to query the desired database.
+- Construct the `query_payload` JSON string carefully, following the Notion API documentation for filtering and sorting options.
+
+The `NotionListPages
+` component provides a powerful way to integrate Notion database querying capabilities into your Langflow workflows. By leveraging this component, you can easily retrieve specific pages from a Notion database based on custom filters and sorting options, enabling you to build more dynamic and data-driven flows.
+
+We encourage you to explore the capabilities of the `NotionListPages
+` component further and experiment with different querying scenarios to unlock the full potential of integrating Notion databases into your Langflow workflows.
+
+## Troubleshooting
+
+If you encounter any issues while using the `NotionListPages` component, consider the following:
+
+- Double-check that the `notion_secret` and `database_id` are correct and valid.
+- Verify that the `query_payload` JSON string is properly formatted and contains valid filtering and sorting options.
+- Check the Notion API documentation for any updates or changes that may affect the component's functionality.
diff --git a/docs/docs/integrations/notion/list-users.md b/docs/docs/integrations/notion/list-users.md
new file mode 100644
index 000000000..c22c20ca8
--- /dev/null
+++ b/docs/docs/integrations/notion/list-users.md
@@ -0,0 +1,127 @@
+import Admonition from "@theme/Admonition";
+import ThemedImage from "@theme/ThemedImage";
+import useBaseUrl from "@docusaurus/useBaseUrl";
+import ZoomableImage from "/src/theme/ZoomableImage.js";
+
+# User List
+
+The `NotionUserList` component retrieves users from Notion. It provides a convenient way to integrate Notion user data into your Langflow workflows.
+
+[Notion Reference](https://developers.notion.com/reference/get-users)
+
+
+ The `NotionUserList` component enables you to:
+
+- Retrieve user data from Notion
+- Access user information such as ID, type, name, and avatar URL
+- Integrate Notion user data seamlessly into your Langflow workflows
+
+
+## Component Usage
+
+To use the `NotionUserList` component in a Langflow flow, follow these steps:
+
+1. Add the `NotionUserList` component to your flow.
+2. Configure the component by providing the required Notion secret token.
+3. Connect the component to other nodes in your flow as needed.
+
+## Component Python code
+
+```python
+import requests
+from typing import List
+
+from langflow import CustomComponent
+from langflow.schema import Record
+
+
+class NotionUserList(CustomComponent):
+ display_name = "List Users [Notion]"
+ description = "Retrieve users from Notion."
+ documentation: str = "https://docs.langflow.org/integrations/notion/list-users"
+ icon = "NotionDirectoryLoader"
+
+ def build_config(self):
+ return {
+ "notion_secret": {
+ "display_name": "Notion Secret",
+ "field_type": "str",
+ "info": "The Notion integration token.",
+ "password": True,
+ },
+ }
+
+ def build(
+ self,
+ notion_secret: str,
+ ) -> List[Record]:
+ url = "https://api.notion.com/v1/users"
+ headers = {
+ "Authorization": f"Bearer {notion_secret}",
+ "Notion-Version": "2022-06-28",
+ }
+
+ response = requests.get(url, headers=headers)
+ response.raise_for_status()
+
+ data = response.json()
+ results = data['results']
+
+ records = []
+ for user in results:
+ id = user['id']
+ type = user['type']
+ name = user.get('name', '')
+ avatar_url = user.get('avatar_url', '')
+
+ record_data = {
+ "id": id,
+ "type": type,
+ "name": name,
+ "avatar_url": avatar_url,
+ }
+
+ output = "User:\n"
+ for key, value in record_data.items():
+ output += f"{key.replace('_', ' ').title()}: {value}\n"
+ output += "________________________\n"
+
+ record = Record(text=output, data=record_data)
+ records.append(record)
+
+ self.status = "\n".join(record.text for record in records)
+ return records
+```
+
+## Example Usage
+
+
+Here's an example of how you can use the `NotionUserList` component in a Langflow flow and passing the outputs to the Prompt component:
+
+
+
+
+
+## Best Practices
+
+When using the `NotionUserList` component, consider the following best practices:
+
+- Ensure that you have a valid Notion integration token with the necessary permissions to retrieve user data.
+- Handle the retrieved user data securely and in compliance with Notion's API usage guidelines.
+
+The `NotionUserList` component provides a seamless way to integrate Notion user data into your Langflow workflows. By leveraging this component, you can easily retrieve and utilize user information from Notion, enhancing the capabilities of your Langflow applications. Feel free to explore and experiment with the `NotionUserList` component to unlock new possibilities in your Langflow projects!
+
+## Troubleshooting
+
+If you encounter any issues while using the `NotionUserList` component, consider the following:
+
+- Double-check that your Notion integration token is valid and has the required permissions.
+- Verify that you have installed the necessary dependencies (`requests`) for the component to function properly.
+- Check the Notion API documentation for any updates or changes that may affect the component's functionality.
diff --git a/docs/docs/integrations/notion/page-content-viewer.md b/docs/docs/integrations/notion/page-content-viewer.md
new file mode 100644
index 000000000..f4eeba052
--- /dev/null
+++ b/docs/docs/integrations/notion/page-content-viewer.md
@@ -0,0 +1,142 @@
+import Admonition from "@theme/Admonition";
+import ThemedImage from "@theme/ThemedImage";
+import useBaseUrl from "@docusaurus/useBaseUrl";
+import ZoomableImage from "/src/theme/ZoomableImage.js";
+
+# Page Content
+
+The `NotionPageContent` component retrieves the content of a Notion page as plain text. It provides a convenient way to integrate Notion page content into your Langflow workflows.
+
+[Notion Reference](https://developers.notion.com/reference/get-page)
+
+
+
+The `NotionPageContent` component enables you to:
+
+- Retrieve the content of a Notion page as plain text
+- Extract text from various block types, including paragraphs, headings, lists, and more
+- Integrate Notion page content seamlessly into your Langflow workflows
+
+
+
+## Component Usage
+
+To use the `NotionPageContent` component in a Langflow flow, follow these steps:
+
+1. Add the `NotionPageContent` component to your flow.
+2. Configure the component by providing the required inputs:
+ - `page_id`: The ID of the Notion page you want to retrieve.
+ - `notion_secret`: Your Notion integration token for authentication.
+3. Connect the output of the `NotionPageContent` component to other components in your flow as needed.
+
+## Component Python code
+
+```python
+import requests
+from typing import Dict, Any
+
+from langflow import CustomComponent
+from langflow.schema import Record
+
+
+class NotionPageContent(CustomComponent):
+ display_name = "Page Content Viewer [Notion]"
+ description = "Retrieve the content of a Notion page as plain text."
+ documentation: str = "https://docs.langflow.org/integrations/notion/page-content-viewer"
+ icon = "NotionDirectoryLoader"
+
+ def build_config(self):
+ return {
+ "page_id": {
+ "display_name": "Page ID",
+ "field_type": "str",
+ "info": "The ID of the Notion page to retrieve.",
+ },
+ "notion_secret": {
+ "display_name": "Notion Secret",
+ "field_type": "str",
+ "info": "The Notion integration token.",
+ "password": True,
+ },
+ }
+
+ def build(
+ self,
+ page_id: str,
+ notion_secret: str,
+ ) -> Record:
+ blocks_url = f"https://api.notion.com/v1/blocks/{page_id}/children?page_size=100"
+ headers = {
+ "Authorization": f"Bearer {notion_secret}",
+ "Notion-Version": "2022-06-28", # Use the latest supported version
+ }
+
+ # Retrieve the child blocks
+ blocks_response = requests.get(blocks_url, headers=headers)
+ blocks_response.raise_for_status()
+ blocks_data = blocks_response.json()
+
+ # Parse the blocks and extract the content as plain text
+ content = self.parse_blocks(blocks_data["results"])
+
+ self.status = content
+ return Record(data={"content": content}, text=content)
+
+ def parse_blocks(self, blocks: list) -> str:
+ content = ""
+ for block in blocks:
+ block_type = block["type"]
+ if block_type in ["paragraph", "heading_1", "heading_2", "heading_3", "quote"]:
+ content += self.parse_rich_text(block[block_type]["rich_text"]) + "\n\n"
+ elif block_type in ["bulleted_list_item", "numbered_list_item"]:
+ content += self.parse_rich_text(block[block_type]["rich_text"]) + "\n"
+ elif block_type == "to_do":
+ content += self.parse_rich_text(block["to_do"]["rich_text"]) + "\n"
+ elif block_type == "code":
+ content += self.parse_rich_text(block["code"]["rich_text"]) + "\n\n"
+ elif block_type == "image":
+ content += f"[Image: {block['image']['external']['url']}]\n\n"
+ elif block_type == "divider":
+ content += "---\n\n"
+ return content.strip()
+
+ def parse_rich_text(self, rich_text: list) -> str:
+ text = ""
+ for segment in rich_text:
+ text += segment["plain_text"]
+ return text
+```
+
+## Example Usage
+
+
+
+Here's an example of how you can use the `NotionPageContent` component in a Langflow flow:
+
+
+
+
+## Best Practices
+
+When using the `NotionPageContent` component, consider the following best practices:
+
+- Ensure that you have the necessary permissions to access the Notion page you want to retrieve.
+- Keep your Notion integration token secure and avoid sharing it publicly.
+- Be mindful of the content you retrieve and ensure that it aligns with your intended use case.
+
+The `NotionPageContent` component provides a seamless way to integrate Notion page content into your Langflow workflows. By leveraging this component, you can easily retrieve and process the content of Notion pages, enabling you to build powerful and dynamic applications. Explore the capabilities of the `NotionPageContent` component and unlock new possibilities in your Langflow projects!
+
+## Troubleshooting
+
+If you encounter any issues while using the `NotionPageContent` component, consider the following:
+
+- Double-check that you have provided the correct Notion page ID.
+- Verify that your Notion integration token is valid and has the necessary permissions.
+- Check the Notion API documentation for any updates or changes that may affect the component's functionality.
diff --git a/docs/docs/integrations/notion/page-create.md b/docs/docs/integrations/notion/page-create.md
new file mode 100644
index 000000000..f942f257b
--- /dev/null
+++ b/docs/docs/integrations/notion/page-create.md
@@ -0,0 +1,131 @@
+import Admonition from "@theme/Admonition";
+import ThemedImage from "@theme/ThemedImage";
+import useBaseUrl from "@docusaurus/useBaseUrl";
+import ZoomableImage from "/src/theme/ZoomableImage.js";
+
+# Page Create
+
+The `NotionPageCreator` component creates pages in a Notion database. It provides a convenient way to integrate Notion page creation into your Langflow workflows.
+
+[Notion Reference](https://developers.notion.com/reference/patch-block-children)
+
+
+The `NotionPageCreator` component enables you to:
+- Create new pages in a specified Notion database
+- Set custom properties for the created pages
+- Retrieve the ID and URL of the newly created pages
+
+
+## Component Usage
+
+To use the `NotionPageCreator` component in a Langflow flow, follow these steps:
+
+1. Add the `NotionPageCreator` component to your flow.
+2. Configure the component by providing the required inputs:
+ - `database_id`: The ID of the Notion database where the pages will be created.
+ - `notion_secret`: The Notion integration token for authentication.
+ - `properties`: The properties of the new page, specified as a JSON string.
+3. Connect the component to other components in your flow as needed.
+4. Run the flow to create Notion pages based on the configured inputs.
+
+## Component Python Code
+
+```python
+import json
+from typing import Optional
+
+import requests
+from langflow.custom import CustomComponent
+
+
+class NotionPageCreator(CustomComponent):
+ display_name = "Create Page [Notion]"
+ description = "A component for creating Notion pages."
+ documentation: str = "https://docs.langflow.org/integrations/notion/page-create"
+ icon = "NotionDirectoryLoader"
+
+ def build_config(self):
+ return {
+ "database_id": {
+ "display_name": "Database ID",
+ "field_type": "str",
+ "info": "The ID of the Notion database.",
+ },
+ "notion_secret": {
+ "display_name": "Notion Secret",
+ "field_type": "str",
+ "info": "The Notion integration token.",
+ "password": True,
+ },
+ "properties": {
+ "display_name": "Properties",
+ "field_type": "str",
+ "info": "The properties of the new page. Depending on your database setup, this can change. E.G: {'Task name': {'id': 'title', 'type': 'title', 'title': [{'type': 'text', 'text': {'content': 'Send Notion Components to LF', 'link': null}}]}}",
+ },
+ }
+
+ def build(
+ self,
+ database_id: str,
+ notion_secret: str,
+ properties: str = '{"Task name": {"id": "title", "type": "title", "title": [{"type": "text", "text": {"content": "Send Notion Components to LF", "link": null}}]}}',
+ ) -> str:
+ if not database_id or not properties:
+ raise ValueError("Invalid input. Please provide 'database_id' and 'properties'.")
+
+ headers = {
+ "Authorization": f"Bearer {notion_secret}",
+ "Content-Type": "application/json",
+ "Notion-Version": "2022-06-28",
+ }
+
+ data = {
+ "parent": {"database_id": database_id},
+ "properties": json.loads(properties),
+ }
+
+ response = requests.post("https://api.notion.com/v1/pages", headers=headers, json=data)
+
+ if response.status_code == 200:
+ page_id = response.json()["id"]
+ self.status = f"Successfully created Notion page with ID: {page_id}\n {str(response.json())}"
+ return response.json()
+ else:
+ error_message = f"Failed to create Notion page. Status code: {response.status_code}, Error: {response.text}"
+ self.status = error_message
+ raise Exception(error_message)
+```
+
+## Example Usage
+
+
+Here's an example of how to use the `NotionPageCreator` component in a Langflow flow:
+
+
+
+
+## Best Practices
+
+When using the `NotionPageCreator` component, consider the following best practices:
+
+- Ensure that you have a valid Notion integration token with the necessary permissions to create pages in the specified database.
+- Properly format the `properties` input as a JSON string, matching the structure and field types of your Notion database.
+- Handle any errors or exceptions that may occur during the page creation process and provide appropriate error messages.
+- To avoid the hassle of messing with JSON, we recommend using the LLM to create the JSON for you as input.
+
+The `NotionPageCreator` component simplifies the process of creating pages in a Notion database directly from your Langflow workflows. By leveraging this component, you can seamlessly integrate Notion page creation functionality into your automated processes, saving time and effort. Feel free to explore the capabilities of the `NotionPageCreator` component and adapt it to suit your specific requirements.
+
+## Troubleshooting
+
+If you encounter any issues while using the `NotionPageCreator` component, consider the following:
+
+- Double-check that the `database_id` and `notion_secret` inputs are correct and valid.
+- Verify that the `properties` input is properly formatted as a JSON string and matches the structure of your Notion database.
+- Check the Notion API documentation for any updates or changes that may affect the component's functionality.
diff --git a/docs/docs/integrations/notion/page-update.md b/docs/docs/integrations/notion/page-update.md
new file mode 100644
index 000000000..0370a2b3a
--- /dev/null
+++ b/docs/docs/integrations/notion/page-update.md
@@ -0,0 +1,138 @@
+import Admonition from "@theme/Admonition";
+import ThemedImage from "@theme/ThemedImage";
+import useBaseUrl from "@docusaurus/useBaseUrl";
+import ZoomableImage from "/src/theme/ZoomableImage.js";
+
+# Page Update
+
+The `NotionPageUpdate` component updates the properties of a Notion page. It provides a convenient way to integrate updating Notion page properties into your Langflow workflows.
+
+[Notion Reference](https://developers.notion.com/reference/patch-page)
+
+## Component Usage
+
+To use the `NotionPageUpdate` component in your Langflow flow:
+
+1. Drag and drop the `NotionPageUpdate` component onto the canvas.
+2. Double-click the component to open its configuration.
+3. Provide the required parameters as defined in the component's `build_config` method.
+4. Connect the component to other nodes in your flow as needed.
+
+## Component Python Code
+
+```python
+import json
+import requests
+from typing import Dict, Any
+
+from langflow import CustomComponent
+from langflow.schema import Record
+
+
+class NotionPageUpdate(CustomComponent):
+ display_name = "Update Page Property [Notion]"
+ description = "Update the properties of a Notion page."
+ documentation: str = "https://docs.langflow.org/integrations/notion/page-update"
+ icon = "NotionDirectoryLoader"
+
+ def build_config(self):
+ return {
+ "page_id": {
+ "display_name": "Page ID",
+ "field_type": "str",
+ "info": "The ID of the Notion page to update.",
+ },
+ "properties": {
+ "display_name": "Properties",
+ "field_type": "str",
+ "info": "The properties to update on the page (as a JSON string).",
+ "multiline": True,
+ },
+ "notion_secret": {
+ "display_name": "Notion Secret",
+ "field_type": "str",
+ "info": "The Notion integration token.",
+ "password": True,
+ },
+ }
+
+ def build(
+ self,
+ page_id: str,
+ properties: str,
+ notion_secret: str,
+ ) -> Record:
+ url = f"https://api.notion.com/v1/pages/{page_id}"
+ headers = {
+ "Authorization": f"Bearer {notion_secret}",
+ "Content-Type": "application/json",
+ "Notion-Version": "2022-06-28", # Use the latest supported version
+ }
+
+ try:
+ parsed_properties = json.loads(properties)
+ except json.JSONDecodeError as e:
+ raise ValueError("Invalid JSON format for properties") from e
+
+ data = {
+ "properties": parsed_properties
+ }
+
+ response = requests.patch(url, headers=headers, json=data)
+ response.raise_for_status()
+
+ updated_page = response.json()
+
+ output = "Updated page properties:\n"
+ for prop_name, prop_value in updated_page["properties"].items():
+ output += f"{prop_name}: {prop_value}\n"
+
+ self.status = output
+ return Record(data=updated_page)
+```
+
+Let's break down the key parts of this component:
+
+- The `build_config` method defines the configuration fields for the component. It specifies the required parameters and their properties, such as display names, field types, and any additional information or validation.
+
+- The `build` method contains the main logic of the component. It takes the configured parameters as input and performs the necessary operations to update the properties of a Notion page.
+
+- The component interacts with the Notion API to update the page properties. It constructs the API URL, headers, and request data based on the provided parameters.
+
+- The processed data is returned as a `Record` object, which can be connected to other components in the Langflow flow. The `Record` object contains the updated page data.
+
+- The component also stores the updated page properties in the `status` attribute for logging and debugging purposes.
+
+## Example Usage
+
+
+Here's an example of how to use the `NotionPageUpdate` component in a Langflow flow using:
+
+
+
+
+## Best Practices
+
+When using the `NotionPageUpdate` component, consider the following best practices:
+
+- Ensure that you have a valid Notion integration token with the necessary permissions to update page properties.
+- Handle edge cases and error scenarios gracefully, such as invalid JSON format for properties or API request failures.
+- We recommend using an LLM to generate the inputs for this component, to allow flexibilty
+
+By leveraging the `NotionPageUpdate` component in Langflow, you can easily integrate updating Notion page properties into your language model workflows and build powerful applications that extend Langflow's capabilities.
+
+## Troubleshooting
+
+If you encounter any issues while using the `NotionPageUpdate` component, consider the following:
+
+- Double-check that you have correctly configured the component with the required parameters, including the page ID, properties JSON, and Notion integration token.
+- Verify that your Notion integration token has the necessary permissions to update page properties.
+- Check the Langflow logs for any error messages or exceptions related to the component, such as invalid JSON format or API request failures.
+- Consult the [Notion API Documentation](https://developers.notion.com/reference/patch-page) for specific troubleshooting steps or common issues related to updating page properties.
diff --git a/docs/docs/integrations/notion/search.md b/docs/docs/integrations/notion/search.md
new file mode 100644
index 000000000..a972bffc0
--- /dev/null
+++ b/docs/docs/integrations/notion/search.md
@@ -0,0 +1,184 @@
+import Admonition from "@theme/Admonition";
+import ThemedImage from "@theme/ThemedImage";
+import useBaseUrl from "@docusaurus/useBaseUrl";
+import ZoomableImage from "/src/theme/ZoomableImage.js";
+
+# Notion Search
+
+The `NotionSearch` component is designed to search all pages and databases that have been shared with an integration in Notion. It provides a convenient way to integrate Notion search capabilities into your Langflow workflows.
+
+[Notion Reference](https://developers.notion.com/reference/search)
+
+
+ The `NotionSearch` component enables you to:
+
+- Search for pages and databases in Notion that have been shared with an integration
+- Filter the search results based on object type (pages or databases)
+- Sort the search results in ascending or descending order based on the last edited time
+
+
+
+## Component Usage
+
+To use the `NotionSearch` component in a Langflow flow, follow these steps:
+
+1. **Add the `NotionSearch` component to your flow.**
+2. **Configure the component by providing the required parameters:**
+ - `notion_secret`: The Notion integration token for authentication.
+ - `query`: The text to search for in page and database titles.
+ - `filter_value`: The type of objects to include in the search results (pages or databases).
+ - `sort_direction`: The direction to sort the search results (ascending or descending).
+3. **Connect the `NotionSearch` component to other components in your flow as needed.**
+
+## Component Python Code
+
+```python
+import requests
+from typing import Dict, Any, List
+from langflow.custom import CustomComponent
+from langflow.schema import Record
+
+class NotionSearch(CustomComponent):
+ display_name = "Search Notion"
+ description = (
+ "Searches all pages and databases that have been shared with an integration."
+ )
+ documentation: str = "https://docs.langflow.org/integrations/notion/search"
+ icon = "NotionDirectoryLoader"
+
+ field_order = [
+ "notion_secret",
+ "query",
+ "filter_value",
+ "sort_direction",
+ ]
+
+ def build_config(self):
+ return {
+ "notion_secret": {
+ "display_name": "Notion Secret",
+ "field_type": "str",
+ "info": "The Notion integration token.",
+ "password": True,
+ },
+ "query": {
+ "display_name": "Search Query",
+ "field_type": "str",
+ "info": "The text that the API compares page and database titles against.",
+ },
+ "filter_value": {
+ "display_name": "Filter Type",
+ "field_type": "str",
+ "info": "Limits the results to either only pages or only databases.",
+ "options": ["page", "database"],
+ "default_value": "page",
+ },
+ "sort_direction": {
+ "display_name": "Sort Direction",
+ "field_type": "str",
+ "info": "The direction to sort the results.",
+ "options": ["ascending", "descending"],
+ "default_value": "descending",
+ },
+ }
+
+ def build(
+ self,
+ notion_secret: str,
+ query: str = "",
+ filter_value: str = "page",
+ sort_direction: str = "descending",
+ ) -> List[Record]:
+ try:
+ url = "https://api.notion.com/v1/search"
+ headers = {
+ "Authorization": f"Bearer {notion_secret}",
+ "Content-Type": "application/json",
+ "Notion-Version": "2022-06-28",
+ }
+
+ data = {
+ "query": query,
+ "filter": {
+ "value": filter_value,
+ "property": "object"
+ },
+ "sort":{
+ "direction": sort_direction,
+ "timestamp": "last_edited_time"
+ }
+ }
+
+ response = requests.post(url, headers=headers, json=data)
+ response.raise_for_status()
+
+ results = response.json()
+ records = []
+ combined_text = f"Results found: {len(results['results'])}\n\n"
+ for result in results['results']:
+ result_data = {
+ 'id': result['id'],
+ 'type': result['object'],
+ 'last_edited_time': result['last_edited_time'],
+ }
+
+ if result['object'] == 'page':
+ result_data['title_or_url'] = result['url']
+ text = f"id: {result['id']}\ntitle_or_url: {result['url']}\n"
+ elif result['object'] == 'database':
+ if 'title' in result and isinstance(result['title'], list) and len(result['title']) > 0:
+ result_data['title_or_url'] = result['title'][0]['plain_text']
+ text = f"id: {result['id']}\ntitle_or_url: {result['title'][0]['plain_text']}\n"
+ else:
+ result_data['title_or_url'] = "N/A"
+ text = f"id: {result['id']}\ntitle_or_url: N/A\n"
+
+ text += f"type: {result['object']}\nlast_edited_time: {result['last_edited_time']}\n\n"
+ combined_text += text
+ records.append(Record(text=text, data=result_data))
+
+ self.status = combined_text
+ return records
+
+ except Exception as e:
+ self.status = f"An error occurred: {str(e)}"
+ return [Record(text=self.status, data=[])]
+```
+
+## Example Usage
+
+
+Here's an example of how you can use the `NotionSearch` component in a Langflow flow:
+
+
+
+In this example, the `NotionSearch` component is used to search for pages and databases in Notion based on the provided query and filter criteria. The retrieved data can then be processed further in the subsequent components of the flow.
+
+
+## Best Practices
+
+When using the `NotionSearch` component, consider these best practices:
+
+- Ensure you have a valid Notion integration token with the necessary permissions to search for pages and databases.
+- Provide a meaningful search query to narrow down the results to the desired pages or databases.
+- Choose the appropriate filter type (`page` or `database`) based on your search requirements.
+- Consider the sorting direction (`ascending` or `descending`) to organize the search results effectively.
+
+The `NotionSearch` component provides a powerful way to integrate Notion search capabilities into your Langflow workflows. By leveraging this component, you can easily search for pages and databases in Notion based on custom queries and filters, enabling you to build more dynamic and data-driven flows.
+
+We encourage you to explore the capabilities of the `NotionSearch` component further and experiment with different search scenarios to unlock the full potential of integrating Notion search into your Langflow workflows.
+
+## Troubleshooting
+
+If you encounter any issues while using the `NotionSearch` component, consider the following:
+
+- Double-check that the `notion_secret` is correct and valid.
+- Verify that the Notion integration has the necessary permissions to access the desired pages and databases.
+- Check the Notion API documentation for any updates or changes that may affect the component's functionality.
diff --git a/docs/docs/integrations/notion/setup.md b/docs/docs/integrations/notion/setup.md
new file mode 100644
index 000000000..72bb8f3b4
--- /dev/null
+++ b/docs/docs/integrations/notion/setup.md
@@ -0,0 +1,78 @@
+import Admonition from "@theme/Admonition";
+
+# Setting up a Notion App
+
+To use Notion components in Langflow, you first need to create a Notion integration and configure it with the necessary capabilities. This guide will walk you through the process of setting up a Notion integration and granting it access to your Notion databases.
+
+## Prerequisites
+
+- A Notion account with access to the workspace where you want to use the integration.
+- Admin permissions in the Notion workspace to create and manage integrations.
+
+## Step 1: Create a Notion Integration
+
+1. Go to the [Notion Integrations](https://www.notion.com/my-integrations) page.
+2. Click on the "New integration" button.
+3. Give your integration a name and select the workspace where you want to use it.
+4. Click "Submit" to create the integration.
+
+
+When creating the integration, make sure to enable the necessary capabilities based on your requirements. Refer to the [Notion Integration Capabilities](https://developers.notion.com/reference/capabilities) documentation for more information on each capability.
+
+
+## Step 2: Configure Integration Capabilities
+
+After creating the integration, you need to configure its capabilities to define what actions it can perform and what data it can access.
+
+1. In the integration settings page, go to the **Capabilities** tab.
+2. Enable the required capabilities for your integration. For example:
+ - If your integration needs to read data from Notion, enable the "Read content" capability.
+ - If your integration needs to create new content in Notion, enable the "Insert content" capability.
+ - If your integration needs to update existing content in Notion, enable the "Update content" capability.
+3. Configure the user information access level based on your integration's requirements.
+4. Save the changes.
+
+## Step 3: Obtain Integration Token
+
+To authenticate your integration with Notion, you need to obtain an integration token.
+
+1. In the integration settings page, go to the "Secrets" tab.
+2. Copy the "Internal Integration Token" value. This token will be used to authenticate your integration with Notion.
+
+
+Your integration token is a sensitive piece of information. Make sure to keep it secure and never share it publicly. Store it safely in your Langflow configuration or environment variables.
+
+
+## Step 4: Grant Integration Access to Notion Databases
+
+For your integration to interact with Notion databases, you need to grant it access to the specific databases it will be working with.
+
+1. Open the Notion database that you want your integration to access.
+2. Click on the "Share" button in the top-right corner of the page.
+3. In the "Invite" section, select your integration from the list.
+4. Click "Invite" to grant the integration access to the database.
+
+
+If your database contains references to other databases, you need to grant the integration access to those referenced databases as well. Repeat step 4 for each referenced database to ensure your integration has the necessary access.
+
+
+## Using Notion Components in Langflow
+
+Once you have set up your Notion integration and granted it access to the required databases, you can start using the Notion components in Langflow.
+
+Langflow provides the following Notion components:
+
+- **List Pages**: Retrieves a list of pages from a Notion database.
+- **List Database Properties**: Retrieves the properties of a Notion database.
+- **Add Page Content**: Adds content to a Notion page.
+- **List Users**: Retrieves a list of users with access to a Notion workspace.
+- **Update Property**: Updates the value of a property in a Notion page.
+
+Refer to the individual component documentation for more details on how to use each component in your Langflow flows.
+
+## Additional Resources
+
+- [Notion API Documentation](https://developers.notion.com/docs/getting-started)
+- [Notion Integration Capabilities](https://developers.notion.com/reference/capabilities)
+
+If you encounter any issues or have questions, please reach out to our support team or consult the Langflow community forums.
diff --git a/docs/docs/migration/connecting-output-components.mdx b/docs/docs/migration/connecting-output-components.mdx
deleted file mode 100644
index e69de29bb..000000000
diff --git a/docs/docs/migration/custom-component.mdx b/docs/docs/migration/custom-component.mdx
deleted file mode 100644
index e69de29bb..000000000
diff --git a/docs/docs/migration/experimental-components.mdx b/docs/docs/migration/experimental-components.mdx
deleted file mode 100644
index e69de29bb..000000000
diff --git a/docs/docs/migration/flow-of-data.mdx b/docs/docs/migration/flow-of-data.mdx
deleted file mode 100644
index e69de29bb..000000000
diff --git a/docs/docs/migration/global-variables.mdx b/docs/docs/migration/global-variables.mdx
deleted file mode 100644
index 3430ef405..000000000
--- a/docs/docs/migration/global-variables.mdx
+++ /dev/null
@@ -1,116 +0,0 @@
-import ZoomableImage from "/src/theme/ZoomableImage.js";
-import Admonition from "@theme/Admonition";
-
-# Global Variables
-
-## TLDR;
-
-- Global Variables are reusable variables that can be accessed from any Text field in your project.
-- To create a Global Variable, click on the 🌐 button in a Text field and then **+ Add New Variable**.
-- Define the **Name**, **Type**, and **Value** of the variable.
-- Click on **Save Variable** to create the variable.
-- All Credential Global Variables are encrypted and cannot be accessed by anyone but you.
-- Set _`LANGFLOW_STORE_ENVIRONMENT_VARIABLES`_ to _`true`_ in your `.env` file to add all variables in _`LANGFLOW_VARIABLES_TO_GET_FROM_ENVIRONMENT`_ to your user's Global Variables.
-
-Global Variables are a really useful feature of Langflow.
-They allow you to define reusable variables that can be accessed from any Text field in your project.
-
-The first thing you need to do is find a **Text field** in a Component, so let's talk about what a Text field is.
-
-## Text Fields
-
-Text fields are the fields in a Component where you can write text but that does not allow you to open a Text Area.
-
-The easiest way to find fields that are Text fields, though, is to look for fields that have a 🌐 button.
-
-
-
-## Creating a Global Variable
-
-To create a Global Variable, you need to click on the 🌐 button in a Text field and that will open a dropdown showing your currently available variables and at the end of it **+ Add New Variable**.
-
-
-
-Click on **+ Add New Variable** and a window will open where you can define your new Global Variable.
-
-In it, you can define the **Name** of the variable, the optional **Type** of the variable, and the **Value** of the variable.
-
-The **Name** is the name that you will use to refer to the variable in your Text fields.
-
-The **Type** is optional for now but will be used in the future to allow for more advanced features.
-
-The **Value** is the value that the variable will have.
-{/* say that all variables are encrypted */}
-
-
- All Credential Global Variables are encrypted and cannot be accessed by anyone
- but you.
-
-
-
-
-After you have defined your variable, click on **Save Variable** and your variable will be created.
-
-After that, once you click on the 🌐 button in a Text field, you will see your new variable in the dropdown.
-
-## Environment Variables
-
-If you set _`LANGFLOW_STORE_ENVIRONMENT_VARIABLES`_ to _`true`_ (which is the default value) in your `.env` file, all variables in _`LANGFLOW_VARIABLES_TO_GET_FROM_ENVIRONMENT`_ will be added to your user's Global Variables.
-
-All of these variables can be used in your project as any other Global Variable.
-
-
- You can set _`LANGFLOW_STORE_ENVIRONMENT_VARIABLES`_ to _`false`_ in your
- `.env` file to prevent this behavior.
-
-
-You can also set _`LANGFLOW_VARIABLES_TO_GET_FROM_ENVIRONMENT`_ to a list of variables that you want to get from the environment.
-
-The default list at the moment is:
-
-- ANTHROPIC_API_KEY
-- ASTRA_DB_API_ENDPOINT
-- ASTRA_DB_APPLICATION_TOKEN
-- AZURE_OPENAI_API_KEY
-- AZURE_OPENAI_API_DEPLOYMENT_NAME
-- AZURE_OPENAI_API_EMBEDDINGS_DEPLOYMENT_NAME
-- AZURE_OPENAI_API_INSTANCE_NAME
-- AZURE_OPENAI_API_VERSION
-- COHERE_API_KEY
-- GOOGLE_API_KEY
-- GROQ_API_KEY
-- HUGGINGFACEHUB_API_TOKEN
-- OPENAI_API_KEY
-- PINECONE_API_KEY
-- SEARCHAPI_API_KEY
-- SERPAPI_API_KEY
-- VECTARA_CUSTOMER_ID
-- VECTARA_CORPUS_ID
-- VECTARA_API_KEY
-
-
- Set _`LANGFLOW_VARIABLES_TO_GET_FROM_ENVIRONMENT`_ as a comma-separated list
- of variables (e.g. _`"VARIABLE1, VARIABLE2"`_) or as a JSON-encoded string
- (e.g. _`'["VARIABLE1", "VARIABLE2"]'`_).
-
diff --git a/docs/docs/migration/inputs-and-outputs.mdx b/docs/docs/migration/inputs-and-outputs.mdx
deleted file mode 100644
index 1e1745347..000000000
--- a/docs/docs/migration/inputs-and-outputs.mdx
+++ /dev/null
@@ -1,36 +0,0 @@
-# Inputs and Outputs
-
-TL;DR: Inputs and Outputs are a category of components that are used to define where data comes in and out of your flow. They also
-dynamically change the Playground and can be renamed to make it easier to build and maintain your flows.
-
-## Introduction
-
-Langflow 1.0 introduces new categories of components called Inputs and Outputs. They are used to make it easier to understand and interact with your flows.
-
-Let's start with what they have in common:
-
-- Components in these categories connect to components that have Text or Record inputs or outputs. Some can connect to both but you have to pick what type of data you want to output or input.
-- They can be renamed to help you identify them more easily in the Playground and while using the API.
-- They dynamically change the Playground to make it easier to understand and interact with your flows.
-
-Native Langflow Components were created to be powerful tools that work around Langflow's features. They are designed to be easy to use and understand, and to help you build your flows faster.
-
-Let's dive into Inputs and Outputs.
-
-## Inputs
-
-Inputs are components that are used to define where data comes into your flow. They can be used to receive data from the user, from a database, or from any other source that can be converted to Text or Record.
-
-The difference between Chat Input and other Input components is the format of the output, the number of configurable fields, and the way they are displayed in the Playground.
-
-Chat Input components can output Text or Record. When you want to pass the sender name, or sender to the next component, you can use the Record output, and when you want to pass the message only you can use the Text output. This is useful when saving the message to a database or a memory system like Zep.
-
-You can find out more about it and the other Inputs [here](../components/inputs).
-
-## Outputs
-
-Outputs are components that are used to define where data comes out of your flow. They can be used to send data to the user, to the Playground, or to define how the data will be displayed in the Playground.
-
-The Chat Output works similarly to the Chat Input but does not have a field that allows for written input. It is used as an Output definition and can be used to send data to the user.
-
-You can find out more about it and the other Outputs [here](../components/outputs).
diff --git a/docs/docs/migration/migrating-to-one-point-zero.mdx b/docs/docs/migration/migrating-to-one-point-zero.mdx
index 827f0e118..973393606 100644
--- a/docs/docs/migration/migrating-to-one-point-zero.mdx
+++ b/docs/docs/migration/migrating-to-one-point-zero.mdx
@@ -41,7 +41,7 @@ We have a special channel in our Discord server dedicated to Langflow 1.0 migrat
Langflow 1.0 introduces adds the concept of Inputs and Outputs to flows, allowing a clear definition of the data flow between components. Discover how to use Inputs and Outputs to pass data between components and create more dynamic flows.
-[Learn more about Inputs and Outputs of Components](../migration/inputs-and-outputs)
+[Learn more about Inputs and Outputs of Components](../components/inputs-and-outputs)
## To Compose or Not to Compose: the choice is yours
@@ -71,7 +71,7 @@ Langflow 1.0 introduces many new native categories, including Inputs, Outputs, H
With the introduction of Text and Record types connections between Components are more intuitive and easier to understand. This is the first step in a series of improvements to the way you interact with Langflow. Learn how to use Text, and Record and how they help you build better flows.
-[Learn more about Text and Record](../migration/text-and-record)
+[Learn more about Text and Record](../components/text-and-record)
## CustomComponent for All Components
@@ -119,7 +119,7 @@ Things got a whole lot easier. You can now pass tweaks and inputs in the API by
Global Variables can be used in any Text Field across your projects. Learn how to define and utilize Global Variables to streamline your workflow.
-[Learn more about Global Variables](../migration/global-variables)
+[Learn more about Global Variables](../administration/global-env.mdx)
## Experimental Components
diff --git a/docs/docs/migration/multiple-flows.mdx b/docs/docs/migration/multiple-flows.mdx
deleted file mode 100644
index e69de29bb..000000000
diff --git a/docs/docs/migration/new-categories-and-components.mdx b/docs/docs/migration/new-categories-and-components.mdx
deleted file mode 100644
index e69de29bb..000000000
diff --git a/docs/docs/migration/passing-tweaks-and-inputs.mdx b/docs/docs/migration/passing-tweaks-and-inputs.mdx
deleted file mode 100644
index e69de29bb..000000000
diff --git a/docs/docs/migration/renaming-and-editing-components.mdx b/docs/docs/migration/renaming-and-editing-components.mdx
deleted file mode 100644
index e69de29bb..000000000
diff --git a/docs/docs/migration/sidebar-and-interaction-panel.mdx b/docs/docs/migration/sidebar-and-interaction-panel.mdx
deleted file mode 100644
index e69de29bb..000000000
diff --git a/docs/docs/migration/state-management.mdx b/docs/docs/migration/state-management.mdx
deleted file mode 100644
index e69de29bb..000000000
diff --git a/docs/docs/migration/supported-frameworks.mdx b/docs/docs/migration/supported-frameworks.mdx
deleted file mode 100644
index e69de29bb..000000000
diff --git a/docs/docs/migration/text-and-record.mdx b/docs/docs/migration/text-and-record.mdx
deleted file mode 100644
index cdfb26b6c..000000000
--- a/docs/docs/migration/text-and-record.mdx
+++ /dev/null
@@ -1,45 +0,0 @@
-# Text and Record
-
-In Langflow 1.0 we added two main input and output types: Text and Record. Text is a simple string input and output type, while Record is a structure very similar to a dictionary in Python. It is a key-value pair data structure.
-
-We've created a few components to help you work with these types. Let's see how a few of them work.
-
-### Records To Text
-
-This is a Component that takes in Records and outputs a Text. It does this using a template string and concatenating the values of the Record, one per line.
-
-If we have the following Records:
-
-```json
-{
- "sender_name": "Alice",
- "message": "Hello!"
-}
-{
- "sender_name": "John",
- "message": "Hi!"
-}
-```
-
-And the template string is: _`{sender_name}: {message}`_
-
-```
-Alice: Hello!
-John: Hi!
-```
-
-### Create Record
-
-This Component allows you to create a Record from a number of inputs. You can add as many key-value pairs as you want (as long as it is less than 15 😅). Once you've picked that number you'll need to write the name of the Key and can pass Text values from other components to it.
-
-### Documents To Records
-
-This Component takes in a [LangChain](https://langchain.com) Document and outputs a Record. It does this by extracting the _`page_content`_ and the _`metadata`_ from the Document and adding them to the Record as _`text`_ and _`data`_ respectively.
-
-## Why is this useful?
-
-The idea was to create a unified way to work with complex data in Langflow, and to make it easier to work with data that is not just a simple string. This way you can create more complex workflows and use the data in more ways.
-
-## What's next?
-
-We are planning to integrate an array of modalities to Langflow, such as images, audio, and video. This will allow you to create even more complex workflows and use cases. Stay tuned for more updates! 🚀
diff --git a/docs/docs/starter-projects/basic-prompting.mdx b/docs/docs/starter-projects/basic-prompting.mdx
index cdb647c2f..26b054bcc 100644
--- a/docs/docs/starter-projects/basic-prompting.mdx
+++ b/docs/docs/starter-projects/basic-prompting.mdx
@@ -4,7 +4,7 @@ import ZoomableImage from "/src/theme/ZoomableImage.js";
import ReactPlayer from "react-player";
import Admonition from "@theme/Admonition";
-# Basic prompting
+# Basic Prompting
Prompts serve as the inputs to a large language model (LLM), acting as the interface between human instructions and computational tasks.
@@ -14,41 +14,17 @@ This article demonstrates how to use Langflow's prompt tools to issue basic prom
## Prerequisites
-1. Install Langflow.
+- [Langflow installed and running](../getting-started/install-langflow.mdx)
-```bash
-python -m pip install langflow --pre
-```
-
-2. Start a local Langflow instance with the Langflow CLI:
-
-```bash
-langflow run
-```
-
-Or start Langflow with Python:
-
-```bash
-python -m langflow run
-```
-
-Result:
-
-```
-│ Welcome to ⛓ Langflow │
-│ │
-│ Access http://127.0.0.1:7860 │
-│ Collaborate, and contribute at our GitHub Repo 🚀 │
-```
+- [OpenAI API key created](https://platform.openai.com)
-
-Langflow v1.0 alpha is also available in [HuggingFace Spaces](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true). Try it out or follow the instructions [here](/getting-started/huggingface-spaces) to install it locally.
-
+ Langflow v1.0 alpha is also available in HuggingFace Spaces. [Clone the space
+ using this
+ link](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true)
+ to create your own Langflow workspace in minutes.
-3. Create an [OpenAI API key](https://platform.openai.com).
-
## Create the basic prompting project
1. From the Langflow dashboard, click **New Project**.
diff --git a/docs/docs/starter-projects/blog-writer.mdx b/docs/docs/starter-projects/blog-writer.mdx
index 58b9e0de2..9380bf114 100644
--- a/docs/docs/starter-projects/blog-writer.mdx
+++ b/docs/docs/starter-projects/blog-writer.mdx
@@ -4,47 +4,23 @@ import ZoomableImage from "/src/theme/ZoomableImage.js";
import ReactPlayer from "react-player";
import Admonition from "@theme/Admonition";
-# Blog writer
+# Blog Writer
Build a blog writer with OpenAI that uses URLs for reference content.
## Prerequisites
-1. Install Langflow.
+- [Langflow installed and running](../getting-started/install-langflow.mdx)
-```bash
-python -m pip install langflow --pre
-```
-
-2. Start a local Langflow instance with the Langflow CLI:
-
-```bash
-langflow run
-```
-
-Or start Langflow with Python:
-
-```bash
-python -m langflow run
-```
-
-Result:
-
-```bash
-│ Welcome to ⛓ Langflow │
-│ │
-│ Access http://127.0.0.1:7860 │
-│ Collaborate, and contribute at our GitHub Repo 🚀 │
-```
+- [OpenAI API key created](https://platform.openai.com)
-
-Langflow v1.0 alpha is also available in [HuggingFace Spaces](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true). Try it out or follow the instructions [here](/getting-started/huggingface-spaces) to install it locally.
-
+ Langflow v1.0 alpha is also available in HuggingFace Spaces. [Clone the space
+ using this
+ link](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true)
+ to create your own Langflow workspace in minutes.
-3. Create an [OpenAI API key](https://platform.openai.com).
-
## Create the Blog Writer project
1. From the Langflow dashboard, click **New Project**.
diff --git a/docs/docs/starter-projects/document-qa.mdx b/docs/docs/starter-projects/document-qa.mdx
index 10ecac979..ddbcd901a 100644
--- a/docs/docs/starter-projects/document-qa.mdx
+++ b/docs/docs/starter-projects/document-qa.mdx
@@ -10,41 +10,17 @@ Build a question-and-answer chatbot with a document loaded from local memory.
## Prerequisites
-1. Install Langflow.
+- [Langflow installed and running](../getting-started/install-langflow.mdx)
-```bash
-python -m pip install langflow --pre
-```
-
-2. Start a local Langflow instance with the Langflow CLI:
-
-```bash
-langflow run
-```
-
-Or start Langflow with Python:
-
-```bash
-python -m langflow run
-```
-
-Result:
-
-```
-│ Welcome to ⛓ Langflow │
-│ │
-│ Access http://127.0.0.1:7860 │
-│ Collaborate, and contribute at our GitHub Repo 🚀 │
-```
+- [OpenAI API key created](https://platform.openai.com)
-
-Langflow v1.0 alpha is also available in [HuggingFace Spaces](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true). Try it out or follow the instructions [here](/getting-started/huggingface-spaces) to install it locally.
-
+ Langflow v1.0 alpha is also available in HuggingFace Spaces. [Clone the space
+ using this
+ link](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true)
+ to create your own Langflow workspace in minutes.
-3. Create an [OpenAI API key](https://platform.openai.com).
-
## Create the Document QA project
1. From the Langflow dashboard, click **New Project**.
diff --git a/docs/docs/starter-projects/memory-chatbot.mdx b/docs/docs/starter-projects/memory-chatbot.mdx
index 196344e27..8e38ca3e0 100644
--- a/docs/docs/starter-projects/memory-chatbot.mdx
+++ b/docs/docs/starter-projects/memory-chatbot.mdx
@@ -4,47 +4,23 @@ import ZoomableImage from "/src/theme/ZoomableImage.js";
import ReactPlayer from "react-player";
import Admonition from "@theme/Admonition";
-# Memory chatbot
+# Memory Chatbot
This flow extends the [basic prompting flow](./basic-prompting.mdx) to include chat memory for unique SessionIDs.
## Prerequisites
-1. Install Langflow.
+- [Langflow installed and running](../getting-started/install-langflow.mdx)
-```bash
-python -m pip install langflow --pre
-```
-
-2. Start a local Langflow instance with the Langflow CLI:
-
-```bash
-langflow run
-```
-
-Or start Langflow with Python:
-
-```bash
-python -m langflow run
-```
-
-Result:
-
-```
-│ Welcome to ⛓ Langflow │
-│ │
-│ Access http://127.0.0.1:7860 │
-│ Collaborate, and contribute at our GitHub Repo 🚀 │
-```
+- [OpenAI API key created](https://platform.openai.com)
-
-Langflow v1.0 alpha is also available in [HuggingFace Spaces](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true). Try it out or follow the instructions [here](/getting-started/huggingface-spaces) to install it locally.
-
+ Langflow v1.0 alpha is also available in HuggingFace Spaces. [Clone the space
+ using this
+ link](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true)
+ to create your own Langflow workspace in minutes.
-3. Create an [OpenAI API key](https://platform.openai.com).
-
## Create the memory chatbot project
1. From the Langflow dashboard, click **New Project**.
diff --git a/docs/docs/starter-projects/vector-store-rag.mdx b/docs/docs/starter-projects/vector-store-rag.mdx
index 7222c6593..d0054e6c4 100644
--- a/docs/docs/starter-projects/vector-store-rag.mdx
+++ b/docs/docs/starter-projects/vector-store-rag.mdx
@@ -4,7 +4,7 @@ import ZoomableImage from "/src/theme/ZoomableImage.js";
import ReactPlayer from "react-player";
import Admonition from "@theme/Admonition";
-# Vector store RAG
+# Vector Store RAG
Retrieval Augmented Generation, or RAG, is a pattern for training LLMs on your data and querying it.
@@ -17,13 +17,13 @@ We've chosen [Astra DB](https://astra.datastax.com/signup?utm_source=langflow-pr
## Prerequisites
- Langflow v1.0 alpha is also available in [HuggingFace
- Spaces](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true).
- Try it out or follow the instructions
- [here](../getting-started/huggingface-spaces) to install it locally.
+ Langflow v1.0 alpha is also available in HuggingFace Spaces. [Clone the space
+ using this
+ link](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true)
+ to create your own Langflow workspace in minutes.
-- [Langflow installed](../getting-started/install-langflow.mdx)
+- [Langflow installed and running](../getting-started/install-langflow.mdx)
- [OpenAI API key](https://platform.openai.com)
diff --git a/docs/docs/tutorials/chatprompttemplate_guide.mdx b/docs/docs/tutorials/chatprompttemplate_guide.mdx
index 05a8f3333..48059b134 100644
--- a/docs/docs/tutorials/chatprompttemplate_guide.mdx
+++ b/docs/docs/tutorials/chatprompttemplate_guide.mdx
@@ -3,7 +3,7 @@ import useBaseUrl from "@docusaurus/useBaseUrl";
import ZoomableImage from "/src/theme/ZoomableImage.js";
import ReactPlayer from "react-player";
-# Building chatbots with System Message
+# Building Chatbots with System Message
## Overview
diff --git a/docs/docs/tutorials/loading_document.mdx b/docs/docs/tutorials/loading_document.mdx
index 73fb85968..4a6143a0e 100644
--- a/docs/docs/tutorials/loading_document.mdx
+++ b/docs/docs/tutorials/loading_document.mdx
@@ -3,7 +3,7 @@ import useBaseUrl from "@docusaurus/useBaseUrl";
import ZoomableImage from "/src/theme/ZoomableImage.js";
import ReactPlayer from "react-player";
-# Integrating documents with prompt variables
+# Integrating Documents with Prompt Variables
## Overview
diff --git a/docs/docs/whats-new/a-new-chapter-langflow.mdx b/docs/docs/whats-new/a-new-chapter-langflow.mdx
index 3ff74ffb2..bdc0f178b 100644
--- a/docs/docs/whats-new/a-new-chapter-langflow.mdx
+++ b/docs/docs/whats-new/a-new-chapter-langflow.mdx
@@ -41,7 +41,7 @@ By having a clear definition of Inputs and Outputs, we could build the experienc
When building a project testing and debugging is crucial. The Playground is a tool that changes dynamically based on the Inputs and Outputs you defined in your project.
For example, let's say you are building a simple RAG application. Generally, you have an Input, some references that come from a Vector Store Search, a Prompt and the answer.
-Now, you could plug the output of your Prompt into a [Text Output](../components/outputs#Text-Output), rename that to "Prompt Result" and see the output of your Prompt in the Playground.
+Now, you could plug the output of your Prompt into a [Text Output](../components/inputs-and-outputs), rename that to "Prompt Result" and see the output of your Prompt in the Playground.
{/* Add image here of the described above */}
diff --git a/docs/sidebars.js b/docs/sidebars.js
index 7a5d5bdc2..b12111797 100644
--- a/docs/sidebars.js
+++ b/docs/sidebars.js
@@ -14,9 +14,7 @@ module.exports = {
"index",
"getting-started/install-langflow",
"getting-started/quickstart",
- "getting-started/huggingface-spaces",
"getting-started/canvas",
- "getting-started/flows-components-collections",
"migration/possible-installation-issues",
"getting-started/new-to-llms",
],
@@ -51,8 +49,8 @@ module.exports = {
label: "Core Components",
collapsed: false,
items: [
- "components/inputs",
- "components/outputs",
+ "components/inputs-and-outputs",
+ "components/text-and-record",
"components/data",
"components/models",
"components/helpers",
@@ -82,26 +80,23 @@ module.exports = {
label: "Example Components",
collapsed: true,
items: [
- "examples/flow-runner",
- "examples/conversation-chain",
- "examples/buffer-memory",
- "examples/csv-loader",
- "examples/searchapi-tool",
- "examples/serp-api-tool",
- "examples/python-function",
+ "examples/chat-memory",
+ "examples/combine-text",
+ "examples/create-record",
+ "examples/pass",
+ "examples/store-message",
+ "examples/sub-flow",
+ "examples/text-operator",
],
},
{
type: "category",
- label: "Migration Guides",
+ label: "Migration",
collapsed: false,
items: [
"migration/possible-installation-issues",
"migration/migrating-to-one-point-zero",
- "migration/inputs-and-outputs",
- "migration/text-and-record",
"migration/compatibility",
- "migration/global-variables",
],
},
{
@@ -131,5 +126,28 @@ module.exports = {
"contributing/contribute-component",
],
},
+ {
+ type: "category",
+ label: "Integrations",
+ collapsed: false,
+ items: [
+ {
+ type: "category",
+ label: "Notion",
+ items: [
+ "integrations/notion/intro",
+ "integrations/notion/setup",
+ "integrations/notion/search",
+ "integrations/notion/list-database-properties",
+ "integrations/notion/list-pages",
+ "integrations/notion/list-users",
+ "integrations/notion/page-create",
+ "integrations/notion/add-content-to-page",
+ "integrations/notion/page-update",
+ "integrations/notion/page-content-viewer",
+ ],
+ },
+ ],
+ },
],
};
diff --git a/docs/static/data/AstraDB-RAG-Flows.json b/docs/static/data/AstraDB-RAG-Flows.json
index 10dafa85f..d8bd23eb2 100644
--- a/docs/static/data/AstraDB-RAG-Flows.json
+++ b/docs/static/data/AstraDB-RAG-Flows.json
@@ -1,3403 +1,3147 @@
{
- "id": "51e2b78a-199b-4054-9f32-e288eef6924c",
- "data": {
- "nodes": [
- {
- "id": "ChatInput-yxMKE",
- "type": "genericNode",
- "position": {
- "x": 1195.5276981160775,
- "y": 209.421875
- },
- "data": {
- "type": "ChatInput",
- "node": {
- "template": {
- "code": {
- "type": "code",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n icon = \"ChatInput\"\n\n def build_config(self):\n build_config = super().build_config()\n build_config[\"input_value\"] = {\n \"input_types\": [],\n \"display_name\": \"Message\",\n \"multiline\": True,\n }\n\n return build_config\n\n def build(\n self,\n sender: Optional[str] = \"User\",\n sender_name: Optional[str] = \"User\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n ) -> Union[Text, Record]:\n return super().build(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n )\n",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "code",
- "advanced": true,
- "dynamic": true,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "input_value": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "input_value",
- "display_name": "Message",
- "advanced": false,
- "input_types": [],
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "value": "what is a line"
- },
- "return_record": {
- "type": "bool",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "return_record",
- "display_name": "Return Record",
- "advanced": true,
- "dynamic": false,
- "info": "Return the message as a record containing the sender, sender_name, and session_id.",
- "load_from_db": false,
- "title_case": false
- },
- "sender": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": true,
- "show": true,
- "multiline": false,
- "value": "User",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "options": [
- "Machine",
- "User"
- ],
- "name": "sender",
- "display_name": "Sender Type",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "sender_name": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": "User",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "sender_name",
- "display_name": "Sender Name",
- "advanced": false,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "session_id": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "session_id",
- "display_name": "Session ID",
- "advanced": true,
- "dynamic": false,
- "info": "If provided, the message will be stored in the memory.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "_type": "CustomComponent"
- },
- "description": "Get chat inputs from the Playground.",
- "icon": "ChatInput",
- "base_classes": [
- "Text",
- "str",
- "object",
- "Record"
- ],
- "display_name": "Chat Input",
- "documentation": "",
- "custom_fields": {
- "sender": null,
- "sender_name": null,
- "input_value": null,
- "session_id": null,
- "return_record": null
- },
- "output_types": [
- "Text",
- "Record"
- ],
- "field_formatters": {},
- "frozen": false,
- "field_order": [],
- "beta": false
- },
- "id": "ChatInput-yxMKE"
- },
- "selected": false,
- "width": 384,
- "height": 383
+ "id": "51e2b78a-199b-4054-9f32-e288eef6924c",
+ "data": {
+ "nodes": [
+ {
+ "id": "ChatInput-yxMKE",
+ "type": "genericNode",
+ "position": {
+ "x": 1195.5276981160775,
+ "y": 209.421875
+ },
+ "data": {
+ "type": "ChatInput",
+ "node": {
+ "template": {
+ "code": {
+ "type": "code",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n icon = \"ChatInput\"\n\n def build_config(self):\n build_config = super().build_config()\n build_config[\"input_value\"] = {\n \"input_types\": [],\n \"display_name\": \"Message\",\n \"multiline\": True,\n }\n\n return build_config\n\n def build(\n self,\n sender: Optional[str] = \"User\",\n sender_name: Optional[str] = \"User\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n ) -> Union[Text, Record]:\n return super().build(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n )\n",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "code",
+ "advanced": true,
+ "dynamic": true,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "input_value": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "input_value",
+ "display_name": "Message",
+ "advanced": false,
+ "input_types": [],
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "value": "what is a line"
+ },
+ "return_record": {
+ "type": "bool",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "return_record",
+ "display_name": "Return Record",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Return the message as a record containing the sender, sender_name, and session_id.",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "sender": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": true,
+ "show": true,
+ "multiline": false,
+ "value": "User",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "options": ["Machine", "User"],
+ "name": "sender",
+ "display_name": "Sender Type",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "sender_name": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": "User",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "sender_name",
+ "display_name": "Sender Name",
+ "advanced": false,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "session_id": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "session_id",
+ "display_name": "Session ID",
+ "advanced": true,
+ "dynamic": false,
+ "info": "If provided, the message will be stored in the memory.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "_type": "CustomComponent"
},
- {
- "id": "TextOutput-BDknO",
- "type": "genericNode",
- "position": {
- "x": 2322.600672827879,
- "y": 604.9467307442569
- },
- "data": {
- "type": "TextOutput",
- "node": {
- "template": {
- "input_value": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": "",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "input_value",
- "display_name": "Value",
- "advanced": false,
- "input_types": [
- "Record",
- "Text"
- ],
- "dynamic": false,
- "info": "Text or Record to be passed as output.",
- "load_from_db": false,
- "title_case": false
- },
- "code": {
- "type": "code",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "from typing import Optional\n\nfrom langflow.base.io.text import TextComponent\nfrom langflow.field_typing import Text\n\n\nclass TextOutput(TextComponent):\n display_name = \"Text Output\"\n description = \"Display a text output in the Playground.\"\n icon = \"type\"\n\n def build_config(self):\n return {\n \"input_value\": {\n \"display_name\": \"Value\",\n \"input_types\": [\"Record\", \"Text\"],\n \"info\": \"Text or Record to be passed as output.\",\n },\n \"record_template\": {\n \"display_name\": \"Record Template\",\n \"multiline\": True,\n \"info\": \"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n \"advanced\": True,\n },\n }\n\n def build(self, input_value: Optional[Text] = \"\", record_template: str = \"\") -> Text:\n return super().build(input_value=input_value, record_template=record_template)\n",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "code",
- "advanced": true,
- "dynamic": true,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "record_template": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "{text}",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "record_template",
- "display_name": "Record Template",
- "advanced": true,
- "dynamic": false,
- "info": "Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "_type": "CustomComponent"
- },
- "description": "Display a text output in the Playground.",
- "icon": "type",
- "base_classes": [
- "object",
- "Text",
- "str"
- ],
- "display_name": "Extracted Chunks",
- "documentation": "",
- "custom_fields": {
- "input_value": null,
- "record_template": null
- },
- "output_types": [
- "Text"
- ],
- "field_formatters": {},
- "frozen": false,
- "field_order": [],
- "beta": false
- },
- "id": "TextOutput-BDknO"
- },
- "selected": false,
- "width": 384,
- "height": 289,
- "positionAbsolute": {
- "x": 2322.600672827879,
- "y": 604.9467307442569
- },
- "dragging": false
+ "description": "Get chat inputs from the Playground.",
+ "icon": "ChatInput",
+ "base_classes": ["Text", "str", "object", "Record"],
+ "display_name": "Chat Input",
+ "documentation": "",
+ "custom_fields": {
+ "sender": null,
+ "sender_name": null,
+ "input_value": null,
+ "session_id": null,
+ "return_record": null
},
- {
- "id": "OpenAIEmbeddings-ZlOk1",
- "type": "genericNode",
- "position": {
- "x": 1183.667250865064,
- "y": 687.3171828430261
- },
- "data": {
- "type": "OpenAIEmbeddings",
- "node": {
- "template": {
- "allowed_special": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": [],
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "allowed_special",
- "display_name": "Allowed Special",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "chunk_size": {
- "type": "int",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": 1000,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "chunk_size",
- "display_name": "Chunk Size",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "client": {
- "type": "Any",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "client",
- "display_name": "Client",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "code": {
- "type": "code",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "from typing import Any, Dict, List, Optional\n\nfrom langchain_openai.embeddings.base import OpenAIEmbeddings\n\nfrom langflow.field_typing import Embeddings, NestedDict\nfrom langflow.interface.custom.custom_component import CustomComponent\n\n\nclass OpenAIEmbeddingsComponent(CustomComponent):\n display_name = \"OpenAI Embeddings\"\n description = \"Generate embeddings using OpenAI models.\"\n\n def build_config(self):\n return {\n \"allowed_special\": {\n \"display_name\": \"Allowed Special\",\n \"advanced\": True,\n \"field_type\": \"str\",\n \"is_list\": True,\n },\n \"default_headers\": {\n \"display_name\": \"Default Headers\",\n \"advanced\": True,\n \"field_type\": \"dict\",\n },\n \"default_query\": {\n \"display_name\": \"Default Query\",\n \"advanced\": True,\n \"field_type\": \"NestedDict\",\n },\n \"disallowed_special\": {\n \"display_name\": \"Disallowed Special\",\n \"advanced\": True,\n \"field_type\": \"str\",\n \"is_list\": True,\n },\n \"chunk_size\": {\"display_name\": \"Chunk Size\", \"advanced\": True},\n \"client\": {\"display_name\": \"Client\", \"advanced\": True},\n \"deployment\": {\"display_name\": \"Deployment\", \"advanced\": True},\n \"embedding_ctx_length\": {\n \"display_name\": \"Embedding Context Length\",\n \"advanced\": True,\n },\n \"max_retries\": {\"display_name\": \"Max Retries\", \"advanced\": True},\n \"model\": {\n \"display_name\": \"Model\",\n \"advanced\": False,\n \"options\": [\n \"text-embedding-3-small\",\n \"text-embedding-3-large\",\n \"text-embedding-ada-002\",\n ],\n },\n \"model_kwargs\": {\"display_name\": \"Model Kwargs\", \"advanced\": True},\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"password\": True,\n \"advanced\": True,\n },\n \"openai_api_key\": {\"display_name\": \"OpenAI API Key\", \"password\": True},\n \"openai_api_type\": {\n \"display_name\": \"OpenAI API Type\",\n \"advanced\": True,\n \"password\": True,\n },\n \"openai_api_version\": {\n \"display_name\": \"OpenAI API Version\",\n \"advanced\": True,\n },\n \"openai_organization\": {\n \"display_name\": \"OpenAI Organization\",\n \"advanced\": True,\n },\n \"openai_proxy\": {\"display_name\": \"OpenAI Proxy\", \"advanced\": True},\n \"request_timeout\": {\"display_name\": \"Request Timeout\", \"advanced\": True},\n \"show_progress_bar\": {\n \"display_name\": \"Show Progress Bar\",\n \"advanced\": True,\n },\n \"skip_empty\": {\"display_name\": \"Skip Empty\", \"advanced\": True},\n \"tiktoken_model_name\": {\n \"display_name\": \"TikToken Model Name\",\n \"advanced\": True,\n },\n \"tiktoken_enable\": {\"display_name\": \"TikToken Enable\", \"advanced\": True},\n }\n\n def build(\n self,\n openai_api_key: str,\n default_headers: Optional[Dict[str, str]] = None,\n default_query: Optional[NestedDict] = {},\n allowed_special: List[str] = [],\n disallowed_special: List[str] = [\"all\"],\n chunk_size: int = 1000,\n client: Optional[Any] = None,\n deployment: str = \"text-embedding-ada-002\",\n embedding_ctx_length: int = 8191,\n max_retries: int = 6,\n model: str = \"text-embedding-ada-002\",\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n openai_api_type: Optional[str] = None,\n openai_api_version: Optional[str] = None,\n openai_organization: Optional[str] = None,\n openai_proxy: Optional[str] = None,\n request_timeout: Optional[float] = None,\n show_progress_bar: bool = False,\n skip_empty: bool = False,\n tiktoken_enable: bool = True,\n tiktoken_model_name: Optional[str] = None,\n ) -> Embeddings:\n # This is to avoid errors with Vector Stores (e.g Chroma)\n if disallowed_special == [\"all\"]:\n disallowed_special = \"all\" # type: ignore\n\n return OpenAIEmbeddings(\n tiktoken_enabled=tiktoken_enable,\n default_headers=default_headers,\n default_query=default_query,\n allowed_special=set(allowed_special),\n disallowed_special=\"all\",\n chunk_size=chunk_size,\n client=client,\n deployment=deployment,\n embedding_ctx_length=embedding_ctx_length,\n max_retries=max_retries,\n model=model,\n model_kwargs=model_kwargs,\n base_url=openai_api_base,\n api_key=openai_api_key,\n openai_api_type=openai_api_type,\n api_version=openai_api_version,\n organization=openai_organization,\n openai_proxy=openai_proxy,\n timeout=request_timeout,\n show_progress_bar=show_progress_bar,\n skip_empty=skip_empty,\n tiktoken_model_name=tiktoken_model_name,\n )\n",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "code",
- "advanced": true,
- "dynamic": true,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "default_headers": {
- "type": "dict",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "default_headers",
- "display_name": "Default Headers",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "default_query": {
- "type": "NestedDict",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": {},
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "default_query",
- "display_name": "Default Query",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "deployment": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": "text-embedding-ada-002",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "deployment",
- "display_name": "Deployment",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "disallowed_special": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": [
- "all"
- ],
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "disallowed_special",
- "display_name": "Disallowed Special",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "embedding_ctx_length": {
- "type": "int",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": 8191,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "embedding_ctx_length",
- "display_name": "Embedding Context Length",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "max_retries": {
- "type": "int",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": 6,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "max_retries",
- "display_name": "Max Retries",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "model": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": true,
- "show": true,
- "multiline": false,
- "value": "text-embedding-ada-002",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "options": [
- "text-embedding-3-small",
- "text-embedding-3-large",
- "text-embedding-ada-002"
- ],
- "name": "model",
- "display_name": "Model",
- "advanced": false,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "model_kwargs": {
- "type": "NestedDict",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": {},
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "model_kwargs",
- "display_name": "Model Kwargs",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "openai_api_base": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": true,
- "name": "openai_api_base",
- "display_name": "OpenAI API Base",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "openai_api_key": {
- "type": "str",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": true,
- "name": "openai_api_key",
- "display_name": "OpenAI API Key",
- "advanced": false,
- "dynamic": false,
- "info": "",
- "load_from_db": true,
- "title_case": false,
- "input_types": [
- "Text"
- ],
- "value": "OPENAI_API_KEY"
- },
- "openai_api_type": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": true,
- "name": "openai_api_type",
- "display_name": "OpenAI API Type",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "openai_api_version": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "openai_api_version",
- "display_name": "OpenAI API Version",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "openai_organization": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "openai_organization",
- "display_name": "OpenAI Organization",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "openai_proxy": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "openai_proxy",
- "display_name": "OpenAI Proxy",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "request_timeout": {
- "type": "float",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "request_timeout",
- "display_name": "Request Timeout",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "rangeSpec": {
- "step_type": "float",
- "min": -1,
- "max": 1,
- "step": 0.1
- },
- "load_from_db": false,
- "title_case": false
- },
- "show_progress_bar": {
- "type": "bool",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "show_progress_bar",
- "display_name": "Show Progress Bar",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "skip_empty": {
- "type": "bool",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "skip_empty",
- "display_name": "Skip Empty",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "tiktoken_enable": {
- "type": "bool",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": true,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "tiktoken_enable",
- "display_name": "TikToken Enable",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "tiktoken_model_name": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "tiktoken_model_name",
- "display_name": "TikToken Model Name",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "_type": "CustomComponent"
- },
- "description": "Generate embeddings using OpenAI models.",
- "base_classes": [
- "Embeddings"
- ],
- "display_name": "OpenAI Embeddings",
- "documentation": "",
- "custom_fields": {
- "openai_api_key": null,
- "default_headers": null,
- "default_query": null,
- "allowed_special": null,
- "disallowed_special": null,
- "chunk_size": null,
- "client": null,
- "deployment": null,
- "embedding_ctx_length": null,
- "max_retries": null,
- "model": null,
- "model_kwargs": null,
- "openai_api_base": null,
- "openai_api_type": null,
- "openai_api_version": null,
- "openai_organization": null,
- "openai_proxy": null,
- "request_timeout": null,
- "show_progress_bar": null,
- "skip_empty": null,
- "tiktoken_enable": null,
- "tiktoken_model_name": null
- },
- "output_types": [
- "Embeddings"
- ],
- "field_formatters": {},
- "frozen": false,
- "field_order": [],
- "beta": false
- },
- "id": "OpenAIEmbeddings-ZlOk1"
- },
- "selected": false,
- "width": 384,
- "height": 383,
- "dragging": false
+ "output_types": ["Text", "Record"],
+ "field_formatters": {},
+ "frozen": false,
+ "field_order": [],
+ "beta": false
+ },
+ "id": "ChatInput-yxMKE"
+ },
+ "selected": false,
+ "width": 384,
+ "height": 383
+ },
+ {
+ "id": "TextOutput-BDknO",
+ "type": "genericNode",
+ "position": {
+ "x": 2322.600672827879,
+ "y": 604.9467307442569
+ },
+ "data": {
+ "type": "TextOutput",
+ "node": {
+ "template": {
+ "input_value": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": "",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "input_value",
+ "display_name": "Value",
+ "advanced": false,
+ "input_types": ["Record", "Text"],
+ "dynamic": false,
+ "info": "Text or Record to be passed as output.",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "code": {
+ "type": "code",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "from typing import Optional\n\nfrom langflow.base.io.text import TextComponent\nfrom langflow.field_typing import Text\n\n\nclass TextOutput(TextComponent):\n display_name = \"Text Output\"\n description = \"Display a text output in the Playground.\"\n icon = \"type\"\n\n def build_config(self):\n return {\n \"input_value\": {\n \"display_name\": \"Value\",\n \"input_types\": [\"Record\", \"Text\"],\n \"info\": \"Text or Record to be passed as output.\",\n },\n \"record_template\": {\n \"display_name\": \"Record Template\",\n \"multiline\": True,\n \"info\": \"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n \"advanced\": True,\n },\n }\n\n def build(self, input_value: Optional[Text] = \"\", record_template: str = \"\") -> Text:\n return super().build(input_value=input_value, record_template=record_template)\n",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "code",
+ "advanced": true,
+ "dynamic": true,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "record_template": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "{text}",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "record_template",
+ "display_name": "Record Template",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "_type": "CustomComponent"
},
- {
- "id": "OpenAIModel-EjXlN",
- "type": "genericNode",
- "position": {
- "x": 3410.117202077183,
- "y": 431.2038048137648
- },
- "data": {
- "type": "OpenAIModel",
- "node": {
- "template": {
- "input_value": {
- "type": "str",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "input_value",
- "display_name": "Input",
- "advanced": false,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "code": {
- "type": "code",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\"},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": [\n \"gpt-4-turbo-preview\",\n \"gpt-3.5-turbo\",\n \"gpt-4-0125-preview\",\n \"gpt-4-1106-preview\",\n \"gpt-4-vision-preview\",\n \"gpt-3.5-turbo-0125\",\n \"gpt-3.5-turbo-1106\",\n ],\n \"value\": \"gpt-4-turbo-preview\",\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float,\n model_name: str,\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n output = ChatOpenAI(\n max_tokens=max_tokens,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=openai_api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "code",
- "advanced": true,
- "dynamic": true,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "max_tokens": {
- "type": "int",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": 256,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "max_tokens",
- "display_name": "Max Tokens",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "model_kwargs": {
- "type": "NestedDict",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": {},
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "model_kwargs",
- "display_name": "Model Kwargs",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "model_name": {
- "type": "str",
- "required": true,
- "placeholder": "",
- "list": true,
- "show": true,
- "multiline": false,
- "value": "gpt-3.5-turbo",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "options": [
- "gpt-4-turbo-preview",
- "gpt-3.5-turbo",
- "gpt-4-0125-preview",
- "gpt-4-1106-preview",
- "gpt-4-vision-preview",
- "gpt-3.5-turbo-0125",
- "gpt-3.5-turbo-1106"
- ],
- "name": "model_name",
- "display_name": "Model Name",
- "advanced": false,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "openai_api_base": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "openai_api_base",
- "display_name": "OpenAI API Base",
- "advanced": true,
- "dynamic": false,
- "info": "The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\n\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "openai_api_key": {
- "type": "str",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": true,
- "name": "openai_api_key",
- "display_name": "OpenAI API Key",
- "advanced": false,
- "dynamic": false,
- "info": "The OpenAI API Key to use for the OpenAI model.",
- "load_from_db": true,
- "title_case": false,
- "input_types": [
- "Text"
- ],
- "value": "OPENAI_API_KEY"
- },
- "stream": {
- "type": "bool",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "stream",
- "display_name": "Stream",
- "advanced": true,
- "dynamic": false,
- "info": "Stream the response from the model. Streaming works only in Chat.",
- "load_from_db": false,
- "title_case": false
- },
- "system_message": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "system_message",
- "display_name": "System Message",
- "advanced": true,
- "dynamic": false,
- "info": "System message to pass to the model.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "temperature": {
- "type": "float",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": 0.1,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "temperature",
- "display_name": "Temperature",
- "advanced": false,
- "dynamic": false,
- "info": "",
- "rangeSpec": {
- "step_type": "float",
- "min": -1,
- "max": 1,
- "step": 0.1
- },
- "load_from_db": false,
- "title_case": false
- },
- "_type": "CustomComponent"
- },
- "description": "Generates text using OpenAI LLMs.",
- "icon": "OpenAI",
- "base_classes": [
- "object",
- "Text",
- "str"
- ],
- "display_name": "OpenAI",
- "documentation": "",
- "custom_fields": {
- "input_value": null,
- "openai_api_key": null,
- "temperature": null,
- "model_name": null,
- "max_tokens": null,
- "model_kwargs": null,
- "openai_api_base": null,
- "stream": null,
- "system_message": null
- },
- "output_types": [
- "Text"
- ],
- "field_formatters": {},
- "frozen": false,
- "field_order": [
- "max_tokens",
- "model_kwargs",
- "model_name",
- "openai_api_base",
- "openai_api_key",
- "temperature",
- "input_value",
- "system_message",
- "stream"
- ],
- "beta": false
- },
- "id": "OpenAIModel-EjXlN"
- },
- "selected": true,
- "width": 384,
- "height": 563,
- "positionAbsolute": {
- "x": 3410.117202077183,
- "y": 431.2038048137648
- },
- "dragging": false
+ "description": "Display a text output in the Playground.",
+ "icon": "type",
+ "base_classes": ["object", "Text", "str"],
+ "display_name": "Extracted Chunks",
+ "documentation": "",
+ "custom_fields": {
+ "input_value": null,
+ "record_template": null
},
- {
- "id": "Prompt-xeI6K",
- "type": "genericNode",
- "position": {
- "x": 2969.0261961391298,
- "y": 442.1613649809069
+ "output_types": ["Text"],
+ "field_formatters": {},
+ "frozen": false,
+ "field_order": [],
+ "beta": false
+ },
+ "id": "TextOutput-BDknO"
+ },
+ "selected": false,
+ "width": 384,
+ "height": 289,
+ "positionAbsolute": {
+ "x": 2322.600672827879,
+ "y": 604.9467307442569
+ },
+ "dragging": false
+ },
+ {
+ "id": "OpenAIEmbeddings-ZlOk1",
+ "type": "genericNode",
+ "position": {
+ "x": 1183.667250865064,
+ "y": 687.3171828430261
+ },
+ "data": {
+ "type": "OpenAIEmbeddings",
+ "node": {
+ "template": {
+ "allowed_special": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": [],
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "allowed_special",
+ "display_name": "Allowed Special",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "chunk_size": {
+ "type": "int",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": 1000,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "chunk_size",
+ "display_name": "Chunk Size",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "client": {
+ "type": "Any",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "client",
+ "display_name": "Client",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "code": {
+ "type": "code",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "from typing import Any, Dict, List, Optional\n\nfrom langchain_openai.embeddings.base import OpenAIEmbeddings\n\nfrom langflow.field_typing import Embeddings, NestedDict\nfrom langflow.interface.custom.custom_component import CustomComponent\n\n\nclass OpenAIEmbeddingsComponent(CustomComponent):\n display_name = \"OpenAI Embeddings\"\n description = \"Generate embeddings using OpenAI models.\"\n\n def build_config(self):\n return {\n \"allowed_special\": {\n \"display_name\": \"Allowed Special\",\n \"advanced\": True,\n \"field_type\": \"str\",\n \"is_list\": True,\n },\n \"default_headers\": {\n \"display_name\": \"Default Headers\",\n \"advanced\": True,\n \"field_type\": \"dict\",\n },\n \"default_query\": {\n \"display_name\": \"Default Query\",\n \"advanced\": True,\n \"field_type\": \"NestedDict\",\n },\n \"disallowed_special\": {\n \"display_name\": \"Disallowed Special\",\n \"advanced\": True,\n \"field_type\": \"str\",\n \"is_list\": True,\n },\n \"chunk_size\": {\"display_name\": \"Chunk Size\", \"advanced\": True},\n \"client\": {\"display_name\": \"Client\", \"advanced\": True},\n \"deployment\": {\"display_name\": \"Deployment\", \"advanced\": True},\n \"embedding_ctx_length\": {\n \"display_name\": \"Embedding Context Length\",\n \"advanced\": True,\n },\n \"max_retries\": {\"display_name\": \"Max Retries\", \"advanced\": True},\n \"model\": {\n \"display_name\": \"Model\",\n \"advanced\": False,\n \"options\": [\n \"text-embedding-3-small\",\n \"text-embedding-3-large\",\n \"text-embedding-ada-002\",\n ],\n },\n \"model_kwargs\": {\"display_name\": \"Model Kwargs\", \"advanced\": True},\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"password\": True,\n \"advanced\": True,\n },\n \"openai_api_key\": {\"display_name\": \"OpenAI API Key\", \"password\": True},\n \"openai_api_type\": {\n \"display_name\": \"OpenAI API Type\",\n \"advanced\": True,\n \"password\": True,\n },\n \"openai_api_version\": {\n \"display_name\": \"OpenAI API Version\",\n \"advanced\": True,\n },\n \"openai_organization\": {\n \"display_name\": \"OpenAI Organization\",\n \"advanced\": True,\n },\n \"openai_proxy\": {\"display_name\": \"OpenAI Proxy\", \"advanced\": True},\n \"request_timeout\": {\"display_name\": \"Request Timeout\", \"advanced\": True},\n \"show_progress_bar\": {\n \"display_name\": \"Show Progress Bar\",\n \"advanced\": True,\n },\n \"skip_empty\": {\"display_name\": \"Skip Empty\", \"advanced\": True},\n \"tiktoken_model_name\": {\n \"display_name\": \"TikToken Model Name\",\n \"advanced\": True,\n },\n \"tiktoken_enable\": {\"display_name\": \"TikToken Enable\", \"advanced\": True},\n }\n\n def build(\n self,\n openai_api_key: str,\n default_headers: Optional[Dict[str, str]] = None,\n default_query: Optional[NestedDict] = {},\n allowed_special: List[str] = [],\n disallowed_special: List[str] = [\"all\"],\n chunk_size: int = 1000,\n client: Optional[Any] = None,\n deployment: str = \"text-embedding-ada-002\",\n embedding_ctx_length: int = 8191,\n max_retries: int = 6,\n model: str = \"text-embedding-ada-002\",\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n openai_api_type: Optional[str] = None,\n openai_api_version: Optional[str] = None,\n openai_organization: Optional[str] = None,\n openai_proxy: Optional[str] = None,\n request_timeout: Optional[float] = None,\n show_progress_bar: bool = False,\n skip_empty: bool = False,\n tiktoken_enable: bool = True,\n tiktoken_model_name: Optional[str] = None,\n ) -> Embeddings:\n # This is to avoid errors with Vector Stores (e.g Chroma)\n if disallowed_special == [\"all\"]:\n disallowed_special = \"all\" # type: ignore\n\n return OpenAIEmbeddings(\n tiktoken_enabled=tiktoken_enable,\n default_headers=default_headers,\n default_query=default_query,\n allowed_special=set(allowed_special),\n disallowed_special=\"all\",\n chunk_size=chunk_size,\n client=client,\n deployment=deployment,\n embedding_ctx_length=embedding_ctx_length,\n max_retries=max_retries,\n model=model,\n model_kwargs=model_kwargs,\n base_url=openai_api_base,\n api_key=openai_api_key,\n openai_api_type=openai_api_type,\n api_version=openai_api_version,\n organization=openai_organization,\n openai_proxy=openai_proxy,\n timeout=request_timeout,\n show_progress_bar=show_progress_bar,\n skip_empty=skip_empty,\n tiktoken_model_name=tiktoken_model_name,\n )\n",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "code",
+ "advanced": true,
+ "dynamic": true,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "default_headers": {
+ "type": "dict",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "default_headers",
+ "display_name": "Default Headers",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "default_query": {
+ "type": "NestedDict",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": {},
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "default_query",
+ "display_name": "Default Query",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "deployment": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": "text-embedding-ada-002",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "deployment",
+ "display_name": "Deployment",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "disallowed_special": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": ["all"],
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "disallowed_special",
+ "display_name": "Disallowed Special",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "embedding_ctx_length": {
+ "type": "int",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": 8191,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "embedding_ctx_length",
+ "display_name": "Embedding Context Length",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "max_retries": {
+ "type": "int",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": 6,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "max_retries",
+ "display_name": "Max Retries",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "model": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": true,
+ "show": true,
+ "multiline": false,
+ "value": "text-embedding-ada-002",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "options": [
+ "text-embedding-3-small",
+ "text-embedding-3-large",
+ "text-embedding-ada-002"
+ ],
+ "name": "model",
+ "display_name": "Model",
+ "advanced": false,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "model_kwargs": {
+ "type": "NestedDict",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": {},
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "model_kwargs",
+ "display_name": "Model Kwargs",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "openai_api_base": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": true,
+ "name": "openai_api_base",
+ "display_name": "OpenAI API Base",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "openai_api_key": {
+ "type": "str",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": true,
+ "name": "openai_api_key",
+ "display_name": "OpenAI API Key",
+ "advanced": false,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": true,
+ "title_case": false,
+ "input_types": ["Text"],
+ "value": "OPENAI_API_KEY"
+ },
+ "openai_api_type": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": true,
+ "name": "openai_api_type",
+ "display_name": "OpenAI API Type",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "openai_api_version": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "openai_api_version",
+ "display_name": "OpenAI API Version",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "openai_organization": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "openai_organization",
+ "display_name": "OpenAI Organization",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "openai_proxy": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "openai_proxy",
+ "display_name": "OpenAI Proxy",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "request_timeout": {
+ "type": "float",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "request_timeout",
+ "display_name": "Request Timeout",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "rangeSpec": {
+ "step_type": "float",
+ "min": -1,
+ "max": 1,
+ "step": 0.1
},
- "data": {
- "type": "Prompt",
- "node": {
- "template": {
- "code": {
- "type": "code",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "from langchain_core.prompts import PromptTemplate\n\nfrom langflow.field_typing import Prompt, TemplateField, Text\nfrom langflow.interface.custom.custom_component import CustomComponent\n\n\nclass PromptComponent(CustomComponent):\n display_name: str = \"Prompt\"\n description: str = \"Create a prompt template with dynamic variables.\"\n icon = \"prompts\"\n\n def build_config(self):\n return {\n \"template\": TemplateField(display_name=\"Template\"),\n \"code\": TemplateField(advanced=True),\n }\n\n def build(\n self,\n template: Prompt,\n **kwargs,\n ) -> Text:\n from langflow.base.prompts.utils import dict_values_to_string\n\n prompt_template = PromptTemplate.from_template(Text(template))\n kwargs = dict_values_to_string(kwargs)\n kwargs = {k: \"\\n\".join(v) if isinstance(v, list) else v for k, v in kwargs.items()}\n try:\n formated_prompt = prompt_template.format(**kwargs)\n except Exception as exc:\n raise ValueError(f\"Error formatting prompt: {exc}\") from exc\n self.status = f'Prompt:\\n\"{formated_prompt}\"'\n return formated_prompt\n",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "code",
- "advanced": true,
- "dynamic": true,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "template": {
- "type": "prompt",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": "{context}\n\n---\n\nGiven the context above, answer the question as best as possible.\n\nQuestion: {question}\n\nAnswer: ",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "template",
- "display_name": "Template",
- "advanced": false,
- "input_types": [
- "Text"
- ],
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "_type": "CustomComponent",
- "context": {
- "field_type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "context",
- "display_name": "context",
- "advanced": false,
- "input_types": [
- "Document",
- "BaseOutputParser",
- "Record",
- "Text"
- ],
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "type": "str"
- },
- "question": {
- "field_type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "question",
- "display_name": "question",
- "advanced": false,
- "input_types": [
- "Document",
- "BaseOutputParser",
- "Record",
- "Text"
- ],
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "type": "str"
- }
- },
- "description": "Create a prompt template with dynamic variables.",
- "icon": "prompts",
- "is_input": null,
- "is_output": null,
- "is_composition": null,
- "base_classes": [
- "object",
- "Text",
- "str"
- ],
- "name": "",
- "display_name": "Prompt",
- "documentation": "",
- "custom_fields": {
- "template": [
- "context",
- "question"
- ]
- },
- "output_types": [
- "Text"
- ],
- "full_path": null,
- "field_formatters": {},
- "frozen": false,
- "field_order": [],
- "beta": false,
- "error": null
- },
- "id": "Prompt-xeI6K",
- "description": "Create a prompt template with dynamic variables.",
- "display_name": "Prompt"
- },
- "selected": false,
- "width": 384,
- "height": 477,
- "positionAbsolute": {
- "x": 2969.0261961391298,
- "y": 442.1613649809069
- },
- "dragging": false
+ "load_from_db": false,
+ "title_case": false
+ },
+ "show_progress_bar": {
+ "type": "bool",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "show_progress_bar",
+ "display_name": "Show Progress Bar",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "skip_empty": {
+ "type": "bool",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "skip_empty",
+ "display_name": "Skip Empty",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "tiktoken_enable": {
+ "type": "bool",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": true,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "tiktoken_enable",
+ "display_name": "TikToken Enable",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "tiktoken_model_name": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "tiktoken_model_name",
+ "display_name": "TikToken Model Name",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "_type": "CustomComponent"
},
- {
- "id": "ChatOutput-Q39I8",
- "type": "genericNode",
- "position": {
- "x": 3887.2073667611485,
- "y": 588.4801225794856
- },
- "data": {
- "type": "ChatOutput",
- "node": {
- "template": {
- "code": {
- "type": "code",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n record_template: Optional[str] = \"{text}\",\n ) -> Union[Text, Record]:\n return super().build(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n record_template=record_template,\n )\n",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "code",
- "advanced": true,
- "dynamic": true,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "input_value": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "input_value",
- "display_name": "Message",
- "advanced": false,
- "input_types": [
- "Text"
- ],
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "record_template": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "{text}",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "record_template",
- "display_name": "Record Template",
- "advanced": true,
- "dynamic": false,
- "info": "In case of Message being a Record, this template will be used to convert it to text.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "return_record": {
- "type": "bool",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "return_record",
- "display_name": "Return Record",
- "advanced": true,
- "dynamic": false,
- "info": "Return the message as a record containing the sender, sender_name, and session_id.",
- "load_from_db": false,
- "title_case": false
- },
- "sender": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": true,
- "show": true,
- "multiline": false,
- "value": "Machine",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "options": [
- "Machine",
- "User"
- ],
- "name": "sender",
- "display_name": "Sender Type",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "sender_name": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": "AI",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "sender_name",
- "display_name": "Sender Name",
- "advanced": false,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "session_id": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "session_id",
- "display_name": "Session ID",
- "advanced": true,
- "dynamic": false,
- "info": "If provided, the message will be stored in the memory.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "_type": "CustomComponent"
- },
- "description": "Display a chat message in the Playground.",
- "icon": "ChatOutput",
- "base_classes": [
- "object",
- "Text",
- "Record",
- "str"
- ],
- "display_name": "Chat Output",
- "documentation": "",
- "custom_fields": {
- "sender": null,
- "sender_name": null,
- "input_value": null,
- "session_id": null,
- "return_record": null,
- "record_template": null
- },
- "output_types": [
- "Text",
- "Record"
- ],
- "field_formatters": {},
- "frozen": false,
- "field_order": [],
- "beta": false
- },
- "id": "ChatOutput-Q39I8"
- },
- "selected": false,
- "width": 384,
- "height": 383,
- "positionAbsolute": {
- "x": 3887.2073667611485,
- "y": 588.4801225794856
- },
- "dragging": false
+ "description": "Generate embeddings using OpenAI models.",
+ "base_classes": ["Embeddings"],
+ "display_name": "OpenAI Embeddings",
+ "documentation": "",
+ "custom_fields": {
+ "openai_api_key": null,
+ "default_headers": null,
+ "default_query": null,
+ "allowed_special": null,
+ "disallowed_special": null,
+ "chunk_size": null,
+ "client": null,
+ "deployment": null,
+ "embedding_ctx_length": null,
+ "max_retries": null,
+ "model": null,
+ "model_kwargs": null,
+ "openai_api_base": null,
+ "openai_api_type": null,
+ "openai_api_version": null,
+ "openai_organization": null,
+ "openai_proxy": null,
+ "request_timeout": null,
+ "show_progress_bar": null,
+ "skip_empty": null,
+ "tiktoken_enable": null,
+ "tiktoken_model_name": null
},
- {
- "id": "File-t0a6a",
- "type": "genericNode",
- "position": {
- "x": 2257.233450682836,
- "y": 1747.5389618367233
+ "output_types": ["Embeddings"],
+ "field_formatters": {},
+ "frozen": false,
+ "field_order": [],
+ "beta": false
+ },
+ "id": "OpenAIEmbeddings-ZlOk1"
+ },
+ "selected": false,
+ "width": 384,
+ "height": 383,
+ "dragging": false
+ },
+ {
+ "id": "OpenAIModel-EjXlN",
+ "type": "genericNode",
+ "position": {
+ "x": 3410.117202077183,
+ "y": 431.2038048137648
+ },
+ "data": {
+ "type": "OpenAIModel",
+ "node": {
+ "template": {
+ "input_value": {
+ "type": "str",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "input_value",
+ "display_name": "Input",
+ "advanced": false,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "code": {
+ "type": "code",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\"},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": [\n \"gpt-4-turbo-preview\",\n \"gpt-3.5-turbo\",\n \"gpt-4-0125-preview\",\n \"gpt-4-1106-preview\",\n \"gpt-4-vision-preview\",\n \"gpt-3.5-turbo-0125\",\n \"gpt-3.5-turbo-1106\",\n ],\n \"value\": \"gpt-4-turbo-preview\",\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float,\n model_name: str,\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n output = ChatOpenAI(\n max_tokens=max_tokens,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=openai_api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "code",
+ "advanced": true,
+ "dynamic": true,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "max_tokens": {
+ "type": "int",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": 256,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "max_tokens",
+ "display_name": "Max Tokens",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "model_kwargs": {
+ "type": "NestedDict",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": {},
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "model_kwargs",
+ "display_name": "Model Kwargs",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "model_name": {
+ "type": "str",
+ "required": true,
+ "placeholder": "",
+ "list": true,
+ "show": true,
+ "multiline": false,
+ "value": "gpt-3.5-turbo",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "options": [
+ "gpt-4-turbo-preview",
+ "gpt-3.5-turbo",
+ "gpt-4-0125-preview",
+ "gpt-4-1106-preview",
+ "gpt-4-vision-preview",
+ "gpt-3.5-turbo-0125",
+ "gpt-3.5-turbo-1106"
+ ],
+ "name": "model_name",
+ "display_name": "Model Name",
+ "advanced": false,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "openai_api_base": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "openai_api_base",
+ "display_name": "OpenAI API Base",
+ "advanced": true,
+ "dynamic": false,
+ "info": "The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\n\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "openai_api_key": {
+ "type": "str",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": true,
+ "name": "openai_api_key",
+ "display_name": "OpenAI API Key",
+ "advanced": false,
+ "dynamic": false,
+ "info": "The OpenAI API Key to use for the OpenAI model.",
+ "load_from_db": true,
+ "title_case": false,
+ "input_types": ["Text"],
+ "value": "OPENAI_API_KEY"
+ },
+ "stream": {
+ "type": "bool",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "stream",
+ "display_name": "Stream",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Stream the response from the model. Streaming works only in Chat.",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "system_message": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "system_message",
+ "display_name": "System Message",
+ "advanced": true,
+ "dynamic": false,
+ "info": "System message to pass to the model.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "temperature": {
+ "type": "float",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": 0.1,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "temperature",
+ "display_name": "Temperature",
+ "advanced": false,
+ "dynamic": false,
+ "info": "",
+ "rangeSpec": {
+ "step_type": "float",
+ "min": -1,
+ "max": 1,
+ "step": 0.1
},
- "data": {
- "type": "File",
- "node": {
- "template": {
- "path": {
- "type": "file",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [
- ".txt",
- ".md",
- ".mdx",
- ".csv",
- ".json",
- ".yaml",
- ".yml",
- ".xml",
- ".html",
- ".htm",
- ".pdf",
- ".docx"
- ],
- "file_path": "51e2b78a-199b-4054-9f32-e288eef6924c/Langflow conversation.pdf",
- "password": false,
- "name": "path",
- "display_name": "Path",
- "advanced": false,
- "dynamic": false,
- "info": "Supported file types: txt, md, mdx, csv, json, yaml, yml, xml, html, htm, pdf, docx",
- "load_from_db": false,
- "title_case": false,
- "value": ""
- },
- "code": {
- "type": "code",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "from pathlib import Path\nfrom typing import Any, Dict\n\nfrom langflow.base.data.utils import TEXT_FILE_TYPES, parse_text_file_to_record\nfrom langflow.interface.custom.custom_component import CustomComponent\nfrom langflow.schema import Record\n\n\nclass FileComponent(CustomComponent):\n display_name = \"File\"\n description = \"A generic file loader.\"\n icon = \"file-text\"\n\n def build_config(self) -> Dict[str, Any]:\n return {\n \"path\": {\n \"display_name\": \"Path\",\n \"field_type\": \"file\",\n \"file_types\": TEXT_FILE_TYPES,\n \"info\": f\"Supported file types: {', '.join(TEXT_FILE_TYPES)}\",\n },\n \"silent_errors\": {\n \"display_name\": \"Silent Errors\",\n \"advanced\": True,\n \"info\": \"If true, errors will not raise an exception.\",\n },\n }\n\n def load_file(self, path: str, silent_errors: bool = False) -> Record:\n resolved_path = self.resolve_path(path)\n path_obj = Path(resolved_path)\n extension = path_obj.suffix[1:].lower()\n if extension == \"doc\":\n raise ValueError(\"doc files are not supported. Please save as .docx\")\n if extension not in TEXT_FILE_TYPES:\n raise ValueError(f\"Unsupported file type: {extension}\")\n record = parse_text_file_to_record(resolved_path, silent_errors)\n self.status = record if record else \"No data\"\n return record or Record()\n\n def build(\n self,\n path: str,\n silent_errors: bool = False,\n ) -> Record:\n record = self.load_file(path, silent_errors)\n self.status = record\n return record\n",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "code",
- "advanced": true,
- "dynamic": true,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "silent_errors": {
- "type": "bool",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "silent_errors",
- "display_name": "Silent Errors",
- "advanced": true,
- "dynamic": false,
- "info": "If true, errors will not raise an exception.",
- "load_from_db": false,
- "title_case": false
- },
- "_type": "CustomComponent"
- },
- "description": "A generic file loader.",
- "icon": "file-text",
- "base_classes": [
- "Record"
- ],
- "display_name": "File",
- "documentation": "",
- "custom_fields": {
- "path": null,
- "silent_errors": null
- },
- "output_types": [
- "Record"
- ],
- "field_formatters": {},
- "frozen": false,
- "field_order": [],
- "beta": false
- },
- "id": "File-t0a6a"
- },
- "selected": false,
- "width": 384,
- "height": 281,
- "positionAbsolute": {
- "x": 2257.233450682836,
- "y": 1747.5389618367233
- },
- "dragging": false
+ "load_from_db": false,
+ "title_case": false
+ },
+ "_type": "CustomComponent"
},
- {
- "id": "RecursiveCharacterTextSplitter-tR9QM",
- "type": "genericNode",
- "position": {
- "x": 2791.013514133929,
- "y": 1462.9588953494142
- },
- "data": {
- "type": "RecursiveCharacterTextSplitter",
- "node": {
- "template": {
- "inputs": {
- "type": "Document",
- "required": true,
- "placeholder": "",
- "list": true,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "inputs",
- "display_name": "Input",
- "advanced": false,
- "input_types": [
- "Document",
- "Record"
- ],
- "dynamic": false,
- "info": "The texts to split.",
- "load_from_db": false,
- "title_case": false
- },
- "chunk_overlap": {
- "type": "int",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": 200,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "chunk_overlap",
- "display_name": "Chunk Overlap",
- "advanced": false,
- "dynamic": false,
- "info": "The amount of overlap between chunks.",
- "load_from_db": false,
- "title_case": false
- },
- "chunk_size": {
- "type": "int",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": 1000,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "chunk_size",
- "display_name": "Chunk Size",
- "advanced": false,
- "dynamic": false,
- "info": "The maximum length of each chunk.",
- "load_from_db": false,
- "title_case": false
- },
- "code": {
- "type": "code",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "from typing import Optional\n\nfrom langchain.text_splitter import RecursiveCharacterTextSplitter\nfrom langchain_core.documents import Document\n\nfrom langflow.interface.custom.custom_component import CustomComponent\nfrom langflow.schema import Record\nfrom langflow.utils.util import build_loader_repr_from_records, unescape_string\n\n\nclass RecursiveCharacterTextSplitterComponent(CustomComponent):\n display_name: str = \"Recursive Character Text Splitter\"\n description: str = \"Split text into chunks of a specified length.\"\n documentation: str = \"https://docs.langflow.org/components/text-splitters#recursivecharactertextsplitter\"\n\n def build_config(self):\n return {\n \"inputs\": {\n \"display_name\": \"Input\",\n \"info\": \"The texts to split.\",\n \"input_types\": [\"Document\", \"Record\"],\n },\n \"separators\": {\n \"display_name\": \"Separators\",\n \"info\": 'The characters to split on.\\nIf left empty defaults to [\"\\\\n\\\\n\", \"\\\\n\", \" \", \"\"].',\n \"is_list\": True,\n },\n \"chunk_size\": {\n \"display_name\": \"Chunk Size\",\n \"info\": \"The maximum length of each chunk.\",\n \"field_type\": \"int\",\n \"value\": 1000,\n },\n \"chunk_overlap\": {\n \"display_name\": \"Chunk Overlap\",\n \"info\": \"The amount of overlap between chunks.\",\n \"field_type\": \"int\",\n \"value\": 200,\n },\n \"code\": {\"show\": False},\n }\n\n def build(\n self,\n inputs: list[Document],\n separators: Optional[list[str]] = None,\n chunk_size: Optional[int] = 1000,\n chunk_overlap: Optional[int] = 200,\n ) -> list[Record]:\n \"\"\"\n Split text into chunks of a specified length.\n\n Args:\n separators (list[str]): The characters to split on.\n chunk_size (int): The maximum length of each chunk.\n chunk_overlap (int): The amount of overlap between chunks.\n length_function (function): The function to use to calculate the length of the text.\n\n Returns:\n list[str]: The chunks of text.\n \"\"\"\n\n if separators == \"\":\n separators = None\n elif separators:\n # check if the separators list has escaped characters\n # if there are escaped characters, unescape them\n separators = [unescape_string(x) for x in separators]\n\n # Make sure chunk_size and chunk_overlap are ints\n if isinstance(chunk_size, str):\n chunk_size = int(chunk_size)\n if isinstance(chunk_overlap, str):\n chunk_overlap = int(chunk_overlap)\n splitter = RecursiveCharacterTextSplitter(\n separators=separators,\n chunk_size=chunk_size,\n chunk_overlap=chunk_overlap,\n )\n documents = []\n for _input in inputs:\n if isinstance(_input, Record):\n documents.append(_input.to_lc_document())\n else:\n documents.append(_input)\n docs = splitter.split_documents(documents)\n records = self.to_records(docs)\n self.repr_value = build_loader_repr_from_records(records)\n return records\n",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "code",
- "advanced": true,
- "dynamic": true,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "separators": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": true,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "separators",
- "display_name": "Separators",
- "advanced": false,
- "dynamic": false,
- "info": "The characters to split on.\nIf left empty defaults to [\"\\n\\n\", \"\\n\", \" \", \"\"].",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ],
- "value": [
- ""
- ]
- },
- "_type": "CustomComponent"
- },
- "description": "Split text into chunks of a specified length.",
- "base_classes": [
- "Record"
- ],
- "display_name": "Recursive Character Text Splitter",
- "documentation": "https://docs.langflow.org/components/text-splitters#recursivecharactertextsplitter",
- "custom_fields": {
- "inputs": null,
- "separators": null,
- "chunk_size": null,
- "chunk_overlap": null
- },
- "output_types": [
- "Record"
- ],
- "field_formatters": {},
- "frozen": false,
- "field_order": [],
- "beta": false
- },
- "id": "RecursiveCharacterTextSplitter-tR9QM"
- },
- "selected": false,
- "width": 384,
- "height": 501,
- "positionAbsolute": {
- "x": 2791.013514133929,
- "y": 1462.9588953494142
- },
- "dragging": false
+ "description": "Generates text using OpenAI LLMs.",
+ "icon": "OpenAI",
+ "base_classes": ["object", "Text", "str"],
+ "display_name": "OpenAI",
+ "documentation": "",
+ "custom_fields": {
+ "input_value": null,
+ "openai_api_key": null,
+ "temperature": null,
+ "model_name": null,
+ "max_tokens": null,
+ "model_kwargs": null,
+ "openai_api_base": null,
+ "stream": null,
+ "system_message": null
},
- {
- "id": "AstraDBSearch-41nRz",
- "type": "genericNode",
- "position": {
- "x": 1723.976434815103,
- "y": 277.03317407245913
- },
- "data": {
- "type": "AstraDBSearch",
- "node": {
- "template": {
- "embedding": {
- "type": "Embeddings",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "embedding",
- "display_name": "Embedding",
- "advanced": false,
- "dynamic": false,
- "info": "Embedding to use",
- "load_from_db": false,
- "title_case": false
- },
- "input_value": {
- "type": "str",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "input_value",
- "display_name": "Input Value",
- "advanced": false,
- "dynamic": false,
- "info": "Input value to search",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "api_endpoint": {
- "type": "str",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "api_endpoint",
- "display_name": "API Endpoint",
- "advanced": false,
- "dynamic": false,
- "info": "API endpoint URL for the Astra DB service.",
- "load_from_db": true,
- "title_case": false,
- "input_types": [
- "Text"
- ],
- "value": "ASTRA_DB_API_ENDPOINT"
- },
- "batch_size": {
- "type": "int",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "batch_size",
- "display_name": "Batch Size",
- "advanced": true,
- "dynamic": false,
- "info": "Optional number of records to process in a single batch.",
- "load_from_db": false,
- "title_case": false
- },
- "bulk_delete_concurrency": {
- "type": "int",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "bulk_delete_concurrency",
- "display_name": "Bulk Delete Concurrency",
- "advanced": true,
- "dynamic": false,
- "info": "Optional concurrency level for bulk delete operations.",
- "load_from_db": false,
- "title_case": false
- },
- "bulk_insert_batch_concurrency": {
- "type": "int",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "bulk_insert_batch_concurrency",
- "display_name": "Bulk Insert Batch Concurrency",
- "advanced": true,
- "dynamic": false,
- "info": "Optional concurrency level for bulk insert operations.",
- "load_from_db": false,
- "title_case": false
- },
- "bulk_insert_overwrite_concurrency": {
- "type": "int",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "bulk_insert_overwrite_concurrency",
- "display_name": "Bulk Insert Overwrite Concurrency",
- "advanced": true,
- "dynamic": false,
- "info": "Optional concurrency level for bulk insert operations that overwrite existing records.",
- "load_from_db": false,
- "title_case": false
- },
- "code": {
- "type": "code",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "from typing import List, Optional\n\nfrom langflow.components.vectorstores.AstraDB import AstraDBVectorStoreComponent\nfrom langflow.components.vectorstores.base.model import LCVectorStoreComponent\nfrom langflow.field_typing import Embeddings, Text\nfrom langflow.schema import Record\n\n\nclass AstraDBSearchComponent(LCVectorStoreComponent):\n display_name = \"Astra DB Search\"\n description = \"Searches an existing Astra DB Vector Store.\"\n icon = \"AstraDB\"\n field_order = [\"token\", \"api_endpoint\", \"collection_name\", \"input_value\", \"embedding\"]\n\n def build_config(self):\n return {\n \"search_type\": {\n \"display_name\": \"Search Type\",\n \"options\": [\"Similarity\", \"MMR\"],\n },\n \"input_value\": {\n \"display_name\": \"Input Value\",\n \"info\": \"Input value to search\",\n },\n \"embedding\": {\"display_name\": \"Embedding\", \"info\": \"Embedding to use\"},\n \"collection_name\": {\n \"display_name\": \"Collection Name\",\n \"info\": \"The name of the collection within Astra DB where the vectors will be stored.\",\n },\n \"token\": {\n \"display_name\": \"Token\",\n \"info\": \"Authentication token for accessing Astra DB.\",\n \"password\": True,\n },\n \"api_endpoint\": {\n \"display_name\": \"API Endpoint\",\n \"info\": \"API endpoint URL for the Astra DB service.\",\n },\n \"namespace\": {\n \"display_name\": \"Namespace\",\n \"info\": \"Optional namespace within Astra DB to use for the collection.\",\n \"advanced\": True,\n },\n \"metric\": {\n \"display_name\": \"Metric\",\n \"info\": \"Optional distance metric for vector comparisons in the vector store.\",\n \"advanced\": True,\n },\n \"batch_size\": {\n \"display_name\": \"Batch Size\",\n \"info\": \"Optional number of records to process in a single batch.\",\n \"advanced\": True,\n },\n \"bulk_insert_batch_concurrency\": {\n \"display_name\": \"Bulk Insert Batch Concurrency\",\n \"info\": \"Optional concurrency level for bulk insert operations.\",\n \"advanced\": True,\n },\n \"bulk_insert_overwrite_concurrency\": {\n \"display_name\": \"Bulk Insert Overwrite Concurrency\",\n \"info\": \"Optional concurrency level for bulk insert operations that overwrite existing records.\",\n \"advanced\": True,\n },\n \"bulk_delete_concurrency\": {\n \"display_name\": \"Bulk Delete Concurrency\",\n \"info\": \"Optional concurrency level for bulk delete operations.\",\n \"advanced\": True,\n },\n \"setup_mode\": {\n \"display_name\": \"Setup Mode\",\n \"info\": \"Configuration mode for setting up the vector store, with options like \u201cSync\u201d, \u201cAsync\u201d, or \u201cOff\u201d.\",\n \"options\": [\"Sync\", \"Async\", \"Off\"],\n \"advanced\": True,\n },\n \"pre_delete_collection\": {\n \"display_name\": \"Pre Delete Collection\",\n \"info\": \"Boolean flag to determine whether to delete the collection before creating a new one.\",\n \"advanced\": True,\n },\n \"metadata_indexing_include\": {\n \"display_name\": \"Metadata Indexing Include\",\n \"info\": \"Optional list of metadata fields to include in the indexing.\",\n \"advanced\": True,\n },\n \"metadata_indexing_exclude\": {\n \"display_name\": \"Metadata Indexing Exclude\",\n \"info\": \"Optional list of metadata fields to exclude from the indexing.\",\n \"advanced\": True,\n },\n \"collection_indexing_policy\": {\n \"display_name\": \"Collection Indexing Policy\",\n \"info\": \"Optional dictionary defining the indexing policy for the collection.\",\n \"advanced\": True,\n },\n \"number_of_results\": {\n \"display_name\": \"Number of Results\",\n \"info\": \"Number of results to return.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n embedding: Embeddings,\n collection_name: str,\n input_value: Text,\n token: str,\n api_endpoint: str,\n search_type: str = \"Similarity\",\n number_of_results: int = 4,\n namespace: Optional[str] = None,\n metric: Optional[str] = None,\n batch_size: Optional[int] = None,\n bulk_insert_batch_concurrency: Optional[int] = None,\n bulk_insert_overwrite_concurrency: Optional[int] = None,\n bulk_delete_concurrency: Optional[int] = None,\n setup_mode: str = \"Sync\",\n pre_delete_collection: bool = False,\n metadata_indexing_include: Optional[List[str]] = None,\n metadata_indexing_exclude: Optional[List[str]] = None,\n collection_indexing_policy: Optional[dict] = None,\n ) -> List[Record]:\n vector_store = AstraDBVectorStoreComponent().build(\n embedding=embedding,\n collection_name=collection_name,\n token=token,\n api_endpoint=api_endpoint,\n namespace=namespace,\n metric=metric,\n batch_size=batch_size,\n bulk_insert_batch_concurrency=bulk_insert_batch_concurrency,\n bulk_insert_overwrite_concurrency=bulk_insert_overwrite_concurrency,\n bulk_delete_concurrency=bulk_delete_concurrency,\n setup_mode=setup_mode,\n pre_delete_collection=pre_delete_collection,\n metadata_indexing_include=metadata_indexing_include,\n metadata_indexing_exclude=metadata_indexing_exclude,\n collection_indexing_policy=collection_indexing_policy,\n )\n try:\n return self.search_with_vector_store(input_value, search_type, vector_store, k=number_of_results)\n except KeyError as e:\n if \"content\" in str(e):\n raise ValueError(\n \"You should ingest data through Langflow (or LangChain) to query it in Langflow. Your collection does not contain a field name 'content'.\"\n )\n else:\n raise e\n",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "code",
- "advanced": true,
- "dynamic": true,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "collection_indexing_policy": {
- "type": "dict",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "collection_indexing_policy",
- "display_name": "Collection Indexing Policy",
- "advanced": true,
- "dynamic": false,
- "info": "Optional dictionary defining the indexing policy for the collection.",
- "load_from_db": false,
- "title_case": false
- },
- "collection_name": {
- "type": "str",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "collection_name",
- "display_name": "Collection Name",
- "advanced": false,
- "dynamic": false,
- "info": "The name of the collection within Astra DB where the vectors will be stored.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ],
- "value": "langflow"
- },
- "metadata_indexing_exclude": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": true,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "metadata_indexing_exclude",
- "display_name": "Metadata Indexing Exclude",
- "advanced": true,
- "dynamic": false,
- "info": "Optional list of metadata fields to exclude from the indexing.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "metadata_indexing_include": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": true,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "metadata_indexing_include",
- "display_name": "Metadata Indexing Include",
- "advanced": true,
- "dynamic": false,
- "info": "Optional list of metadata fields to include in the indexing.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "metric": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "metric",
- "display_name": "Metric",
- "advanced": true,
- "dynamic": false,
- "info": "Optional distance metric for vector comparisons in the vector store.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "namespace": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "namespace",
- "display_name": "Namespace",
- "advanced": true,
- "dynamic": false,
- "info": "Optional namespace within Astra DB to use for the collection.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "number_of_results": {
- "type": "int",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": 4,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "number_of_results",
- "display_name": "Number of Results",
- "advanced": true,
- "dynamic": false,
- "info": "Number of results to return.",
- "load_from_db": false,
- "title_case": false
- },
- "pre_delete_collection": {
- "type": "bool",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "pre_delete_collection",
- "display_name": "Pre Delete Collection",
- "advanced": true,
- "dynamic": false,
- "info": "Boolean flag to determine whether to delete the collection before creating a new one.",
- "load_from_db": false,
- "title_case": false
- },
- "search_type": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": true,
- "show": true,
- "multiline": false,
- "value": "Similarity",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "options": [
- "Similarity",
- "MMR"
- ],
- "name": "search_type",
- "display_name": "Search Type",
- "advanced": false,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "setup_mode": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": true,
- "show": true,
- "multiline": false,
- "value": "Sync",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "options": [
- "Sync",
- "Async",
- "Off"
- ],
- "name": "setup_mode",
- "display_name": "Setup Mode",
- "advanced": true,
- "dynamic": false,
- "info": "Configuration mode for setting up the vector store, with options like \u201cSync\u201d, \u201cAsync\u201d, or \u201cOff\u201d.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "token": {
- "type": "str",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": true,
- "name": "token",
- "display_name": "Token",
- "advanced": false,
- "dynamic": false,
- "info": "Authentication token for accessing Astra DB.",
- "load_from_db": true,
- "title_case": false,
- "input_types": [
- "Text"
- ],
- "value": "ASTRA_DB_APPLICATION_TOKEN"
- },
- "_type": "CustomComponent"
- },
- "description": "Searches an existing Astra DB Vector Store.",
- "icon": "AstraDB",
- "base_classes": [
- "Record"
- ],
- "display_name": "Astra DB Search",
- "documentation": "",
- "custom_fields": {
- "embedding": null,
- "collection_name": null,
- "input_value": null,
- "token": null,
- "api_endpoint": null,
- "search_type": null,
- "number_of_results": null,
- "namespace": null,
- "metric": null,
- "batch_size": null,
- "bulk_insert_batch_concurrency": null,
- "bulk_insert_overwrite_concurrency": null,
- "bulk_delete_concurrency": null,
- "setup_mode": null,
- "pre_delete_collection": null,
- "metadata_indexing_include": null,
- "metadata_indexing_exclude": null,
- "collection_indexing_policy": null
- },
- "output_types": [
- "Record"
- ],
- "field_formatters": {},
- "frozen": false,
- "field_order": [
- "token",
- "api_endpoint",
- "collection_name",
- "input_value",
- "embedding"
- ],
- "beta": false
- },
- "id": "AstraDBSearch-41nRz"
- },
- "selected": false,
- "width": 384,
- "height": 713,
- "dragging": false,
- "positionAbsolute": {
- "x": 1723.976434815103,
- "y": 277.03317407245913
- }
+ "output_types": ["Text"],
+ "field_formatters": {},
+ "frozen": false,
+ "field_order": [
+ "max_tokens",
+ "model_kwargs",
+ "model_name",
+ "openai_api_base",
+ "openai_api_key",
+ "temperature",
+ "input_value",
+ "system_message",
+ "stream"
+ ],
+ "beta": false
+ },
+ "id": "OpenAIModel-EjXlN"
+ },
+ "selected": true,
+ "width": 384,
+ "height": 563,
+ "positionAbsolute": {
+ "x": 3410.117202077183,
+ "y": 431.2038048137648
+ },
+ "dragging": false
+ },
+ {
+ "id": "Prompt-xeI6K",
+ "type": "genericNode",
+ "position": {
+ "x": 2969.0261961391298,
+ "y": 442.1613649809069
+ },
+ "data": {
+ "type": "Prompt",
+ "node": {
+ "template": {
+ "code": {
+ "type": "code",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "from langchain_core.prompts import PromptTemplate\n\nfrom langflow.field_typing import Prompt, TemplateField, Text\nfrom langflow.interface.custom.custom_component import CustomComponent\n\n\nclass PromptComponent(CustomComponent):\n display_name: str = \"Prompt\"\n description: str = \"Create a prompt template with dynamic variables.\"\n icon = \"prompts\"\n\n def build_config(self):\n return {\n \"template\": TemplateField(display_name=\"Template\"),\n \"code\": TemplateField(advanced=True),\n }\n\n def build(\n self,\n template: Prompt,\n **kwargs,\n ) -> Text:\n from langflow.base.prompts.utils import dict_values_to_string\n\n prompt_template = PromptTemplate.from_template(Text(template))\n kwargs = dict_values_to_string(kwargs)\n kwargs = {k: \"\\n\".join(v) if isinstance(v, list) else v for k, v in kwargs.items()}\n try:\n formated_prompt = prompt_template.format(**kwargs)\n except Exception as exc:\n raise ValueError(f\"Error formatting prompt: {exc}\") from exc\n self.status = f'Prompt:\\n\"{formated_prompt}\"'\n return formated_prompt\n",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "code",
+ "advanced": true,
+ "dynamic": true,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "template": {
+ "type": "prompt",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": "{context}\n\n---\n\nGiven the context above, answer the question as best as possible.\n\nQuestion: {question}\n\nAnswer: ",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "template",
+ "display_name": "Template",
+ "advanced": false,
+ "input_types": ["Text"],
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "_type": "CustomComponent",
+ "context": {
+ "field_type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "context",
+ "display_name": "context",
+ "advanced": false,
+ "input_types": [
+ "Document",
+ "BaseOutputParser",
+ "Record",
+ "Text"
+ ],
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "type": "str"
+ },
+ "question": {
+ "field_type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "question",
+ "display_name": "question",
+ "advanced": false,
+ "input_types": [
+ "Document",
+ "BaseOutputParser",
+ "Record",
+ "Text"
+ ],
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "type": "str"
+ }
},
- {
- "id": "AstraDB-eUCSS",
- "type": "genericNode",
- "position": {
- "x": 3372.04958055989,
- "y": 1611.0742035495277
- },
- "data": {
- "type": "AstraDB",
- "node": {
- "template": {
- "embedding": {
- "type": "Embeddings",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "embedding",
- "display_name": "Embedding",
- "advanced": false,
- "dynamic": false,
- "info": "Embedding to use",
- "load_from_db": false,
- "title_case": false
- },
- "inputs": {
- "type": "Record",
- "required": false,
- "placeholder": "",
- "list": true,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "inputs",
- "display_name": "Inputs",
- "advanced": false,
- "dynamic": false,
- "info": "Optional list of records to be processed and stored in the vector store.",
- "load_from_db": false,
- "title_case": false
- },
- "api_endpoint": {
- "type": "str",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "api_endpoint",
- "display_name": "API Endpoint",
- "advanced": false,
- "dynamic": false,
- "info": "API endpoint URL for the Astra DB service.",
- "load_from_db": true,
- "title_case": false,
- "input_types": [
- "Text"
- ],
- "value": "ASTRA_DB_API_ENDPOINT"
- },
- "batch_size": {
- "type": "int",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "batch_size",
- "display_name": "Batch Size",
- "advanced": true,
- "dynamic": false,
- "info": "Optional number of records to process in a single batch.",
- "load_from_db": false,
- "title_case": false
- },
- "bulk_delete_concurrency": {
- "type": "int",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "bulk_delete_concurrency",
- "display_name": "Bulk Delete Concurrency",
- "advanced": true,
- "dynamic": false,
- "info": "Optional concurrency level for bulk delete operations.",
- "load_from_db": false,
- "title_case": false
- },
- "bulk_insert_batch_concurrency": {
- "type": "int",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "bulk_insert_batch_concurrency",
- "display_name": "Bulk Insert Batch Concurrency",
- "advanced": true,
- "dynamic": false,
- "info": "Optional concurrency level for bulk insert operations.",
- "load_from_db": false,
- "title_case": false
- },
- "bulk_insert_overwrite_concurrency": {
- "type": "int",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "bulk_insert_overwrite_concurrency",
- "display_name": "Bulk Insert Overwrite Concurrency",
- "advanced": true,
- "dynamic": false,
- "info": "Optional concurrency level for bulk insert operations that overwrite existing records.",
- "load_from_db": false,
- "title_case": false
- },
- "code": {
- "type": "code",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "from typing import List, Optional\n\nfrom langchain_astradb import AstraDBVectorStore\nfrom langchain_astradb.utils.astradb import SetupMode\n\nfrom langflow.custom import CustomComponent\nfrom langflow.field_typing import Embeddings, VectorStore\nfrom langflow.schema import Record\n\n\nclass AstraDBVectorStoreComponent(CustomComponent):\n display_name = \"Astra DB\"\n description = \"Builds or loads an Astra DB Vector Store.\"\n icon = \"AstraDB\"\n field_order = [\"token\", \"api_endpoint\", \"collection_name\", \"inputs\", \"embedding\"]\n\n def build_config(self):\n return {\n \"inputs\": {\n \"display_name\": \"Inputs\",\n \"info\": \"Optional list of records to be processed and stored in the vector store.\",\n },\n \"embedding\": {\"display_name\": \"Embedding\", \"info\": \"Embedding to use\"},\n \"collection_name\": {\n \"display_name\": \"Collection Name\",\n \"info\": \"The name of the collection within Astra DB where the vectors will be stored.\",\n },\n \"token\": {\n \"display_name\": \"Token\",\n \"info\": \"Authentication token for accessing Astra DB.\",\n \"password\": True,\n },\n \"api_endpoint\": {\n \"display_name\": \"API Endpoint\",\n \"info\": \"API endpoint URL for the Astra DB service.\",\n },\n \"namespace\": {\n \"display_name\": \"Namespace\",\n \"info\": \"Optional namespace within Astra DB to use for the collection.\",\n \"advanced\": True,\n },\n \"metric\": {\n \"display_name\": \"Metric\",\n \"info\": \"Optional distance metric for vector comparisons in the vector store.\",\n \"advanced\": True,\n },\n \"batch_size\": {\n \"display_name\": \"Batch Size\",\n \"info\": \"Optional number of records to process in a single batch.\",\n \"advanced\": True,\n },\n \"bulk_insert_batch_concurrency\": {\n \"display_name\": \"Bulk Insert Batch Concurrency\",\n \"info\": \"Optional concurrency level for bulk insert operations.\",\n \"advanced\": True,\n },\n \"bulk_insert_overwrite_concurrency\": {\n \"display_name\": \"Bulk Insert Overwrite Concurrency\",\n \"info\": \"Optional concurrency level for bulk insert operations that overwrite existing records.\",\n \"advanced\": True,\n },\n \"bulk_delete_concurrency\": {\n \"display_name\": \"Bulk Delete Concurrency\",\n \"info\": \"Optional concurrency level for bulk delete operations.\",\n \"advanced\": True,\n },\n \"setup_mode\": {\n \"display_name\": \"Setup Mode\",\n \"info\": \"Configuration mode for setting up the vector store, with options like \u201cSync\u201d, \u201cAsync\u201d, or \u201cOff\u201d.\",\n \"options\": [\"Sync\", \"Async\", \"Off\"],\n \"advanced\": True,\n },\n \"pre_delete_collection\": {\n \"display_name\": \"Pre Delete Collection\",\n \"info\": \"Boolean flag to determine whether to delete the collection before creating a new one.\",\n \"advanced\": True,\n },\n \"metadata_indexing_include\": {\n \"display_name\": \"Metadata Indexing Include\",\n \"info\": \"Optional list of metadata fields to include in the indexing.\",\n \"advanced\": True,\n },\n \"metadata_indexing_exclude\": {\n \"display_name\": \"Metadata Indexing Exclude\",\n \"info\": \"Optional list of metadata fields to exclude from the indexing.\",\n \"advanced\": True,\n },\n \"collection_indexing_policy\": {\n \"display_name\": \"Collection Indexing Policy\",\n \"info\": \"Optional dictionary defining the indexing policy for the collection.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n embedding: Embeddings,\n token: str,\n api_endpoint: str,\n collection_name: str,\n inputs: Optional[List[Record]] = None,\n namespace: Optional[str] = None,\n metric: Optional[str] = None,\n batch_size: Optional[int] = None,\n bulk_insert_batch_concurrency: Optional[int] = None,\n bulk_insert_overwrite_concurrency: Optional[int] = None,\n bulk_delete_concurrency: Optional[int] = None,\n setup_mode: str = \"Async\",\n pre_delete_collection: bool = False,\n metadata_indexing_include: Optional[List[str]] = None,\n metadata_indexing_exclude: Optional[List[str]] = None,\n collection_indexing_policy: Optional[dict] = None,\n ) -> VectorStore:\n try:\n setup_mode_value = SetupMode[setup_mode.upper()]\n except KeyError:\n raise ValueError(f\"Invalid setup mode: {setup_mode}\")\n if inputs:\n documents = [_input.to_lc_document() for _input in inputs]\n\n vector_store = AstraDBVectorStore.from_documents(\n documents=documents,\n embedding=embedding,\n collection_name=collection_name,\n token=token,\n api_endpoint=api_endpoint,\n namespace=namespace,\n metric=metric,\n batch_size=batch_size,\n bulk_insert_batch_concurrency=bulk_insert_batch_concurrency,\n bulk_insert_overwrite_concurrency=bulk_insert_overwrite_concurrency,\n bulk_delete_concurrency=bulk_delete_concurrency,\n setup_mode=setup_mode_value,\n pre_delete_collection=pre_delete_collection,\n metadata_indexing_include=metadata_indexing_include,\n metadata_indexing_exclude=metadata_indexing_exclude,\n collection_indexing_policy=collection_indexing_policy,\n )\n else:\n vector_store = AstraDBVectorStore(\n embedding=embedding,\n collection_name=collection_name,\n token=token,\n api_endpoint=api_endpoint,\n namespace=namespace,\n metric=metric,\n batch_size=batch_size,\n bulk_insert_batch_concurrency=bulk_insert_batch_concurrency,\n bulk_insert_overwrite_concurrency=bulk_insert_overwrite_concurrency,\n bulk_delete_concurrency=bulk_delete_concurrency,\n setup_mode=setup_mode_value,\n pre_delete_collection=pre_delete_collection,\n metadata_indexing_include=metadata_indexing_include,\n metadata_indexing_exclude=metadata_indexing_exclude,\n collection_indexing_policy=collection_indexing_policy,\n )\n\n return vector_store\n",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "code",
- "advanced": true,
- "dynamic": true,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "collection_indexing_policy": {
- "type": "dict",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "collection_indexing_policy",
- "display_name": "Collection Indexing Policy",
- "advanced": true,
- "dynamic": false,
- "info": "Optional dictionary defining the indexing policy for the collection.",
- "load_from_db": false,
- "title_case": false
- },
- "collection_name": {
- "type": "str",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "collection_name",
- "display_name": "Collection Name",
- "advanced": false,
- "dynamic": false,
- "info": "The name of the collection within Astra DB where the vectors will be stored.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ],
- "value": "langflow"
- },
- "metadata_indexing_exclude": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": true,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "metadata_indexing_exclude",
- "display_name": "Metadata Indexing Exclude",
- "advanced": true,
- "dynamic": false,
- "info": "Optional list of metadata fields to exclude from the indexing.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "metadata_indexing_include": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": true,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "metadata_indexing_include",
- "display_name": "Metadata Indexing Include",
- "advanced": true,
- "dynamic": false,
- "info": "Optional list of metadata fields to include in the indexing.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "metric": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "metric",
- "display_name": "Metric",
- "advanced": true,
- "dynamic": false,
- "info": "Optional distance metric for vector comparisons in the vector store.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "namespace": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "namespace",
- "display_name": "Namespace",
- "advanced": true,
- "dynamic": false,
- "info": "Optional namespace within Astra DB to use for the collection.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "pre_delete_collection": {
- "type": "bool",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "pre_delete_collection",
- "display_name": "Pre Delete Collection",
- "advanced": true,
- "dynamic": false,
- "info": "Boolean flag to determine whether to delete the collection before creating a new one.",
- "load_from_db": false,
- "title_case": false
- },
- "setup_mode": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": true,
- "show": true,
- "multiline": false,
- "value": "Async",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "options": [
- "Sync",
- "Async",
- "Off"
- ],
- "name": "setup_mode",
- "display_name": "Setup Mode",
- "advanced": true,
- "dynamic": false,
- "info": "Configuration mode for setting up the vector store, with options like \u201cSync\u201d, \u201cAsync\u201d, or \u201cOff\u201d.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "token": {
- "type": "str",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": true,
- "name": "token",
- "display_name": "Token",
- "advanced": false,
- "dynamic": false,
- "info": "Authentication token for accessing Astra DB.",
- "load_from_db": true,
- "title_case": false,
- "input_types": [
- "Text"
- ],
- "value": "ASTRA_DB_APPLICATION_TOKEN"
- },
- "_type": "CustomComponent"
- },
- "description": "Builds or loads an Astra DB Vector Store.",
- "icon": "AstraDB",
- "base_classes": [
- "VectorStore"
- ],
- "display_name": "Astra DB",
- "documentation": "",
- "custom_fields": {
- "embedding": null,
- "token": null,
- "api_endpoint": null,
- "collection_name": null,
- "inputs": null,
- "namespace": null,
- "metric": null,
- "batch_size": null,
- "bulk_insert_batch_concurrency": null,
- "bulk_insert_overwrite_concurrency": null,
- "bulk_delete_concurrency": null,
- "setup_mode": null,
- "pre_delete_collection": null,
- "metadata_indexing_include": null,
- "metadata_indexing_exclude": null,
- "collection_indexing_policy": null
- },
- "output_types": [
- "VectorStore"
- ],
- "field_formatters": {},
- "frozen": false,
- "field_order": [
- "token",
- "api_endpoint",
- "collection_name",
- "inputs",
- "embedding"
- ],
- "beta": false
- },
- "id": "AstraDB-eUCSS"
- },
- "selected": false,
- "width": 384,
- "height": 573,
- "positionAbsolute": {
- "x": 3372.04958055989,
- "y": 1611.0742035495277
- },
- "dragging": false
+ "description": "Create a prompt template with dynamic variables.",
+ "icon": "prompts",
+ "is_input": null,
+ "is_output": null,
+ "is_composition": null,
+ "base_classes": ["object", "Text", "str"],
+ "name": "",
+ "display_name": "Prompt",
+ "documentation": "",
+ "custom_fields": {
+ "template": ["context", "question"]
},
- {
- "id": "OpenAIEmbeddings-9TPjc",
- "type": "genericNode",
- "position": {
- "x": 2814.0402191223047,
- "y": 1955.9268168273086
- },
- "data": {
- "type": "OpenAIEmbeddings",
- "node": {
- "template": {
- "allowed_special": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": [],
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "allowed_special",
- "display_name": "Allowed Special",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "chunk_size": {
- "type": "int",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": 1000,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "chunk_size",
- "display_name": "Chunk Size",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "client": {
- "type": "Any",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "client",
- "display_name": "Client",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "code": {
- "type": "code",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "from typing import Any, Dict, List, Optional\n\nfrom langchain_openai.embeddings.base import OpenAIEmbeddings\n\nfrom langflow.field_typing import Embeddings, NestedDict\nfrom langflow.interface.custom.custom_component import CustomComponent\n\n\nclass OpenAIEmbeddingsComponent(CustomComponent):\n display_name = \"OpenAI Embeddings\"\n description = \"Generate embeddings using OpenAI models.\"\n\n def build_config(self):\n return {\n \"allowed_special\": {\n \"display_name\": \"Allowed Special\",\n \"advanced\": True,\n \"field_type\": \"str\",\n \"is_list\": True,\n },\n \"default_headers\": {\n \"display_name\": \"Default Headers\",\n \"advanced\": True,\n \"field_type\": \"dict\",\n },\n \"default_query\": {\n \"display_name\": \"Default Query\",\n \"advanced\": True,\n \"field_type\": \"NestedDict\",\n },\n \"disallowed_special\": {\n \"display_name\": \"Disallowed Special\",\n \"advanced\": True,\n \"field_type\": \"str\",\n \"is_list\": True,\n },\n \"chunk_size\": {\"display_name\": \"Chunk Size\", \"advanced\": True},\n \"client\": {\"display_name\": \"Client\", \"advanced\": True},\n \"deployment\": {\"display_name\": \"Deployment\", \"advanced\": True},\n \"embedding_ctx_length\": {\n \"display_name\": \"Embedding Context Length\",\n \"advanced\": True,\n },\n \"max_retries\": {\"display_name\": \"Max Retries\", \"advanced\": True},\n \"model\": {\n \"display_name\": \"Model\",\n \"advanced\": False,\n \"options\": [\n \"text-embedding-3-small\",\n \"text-embedding-3-large\",\n \"text-embedding-ada-002\",\n ],\n },\n \"model_kwargs\": {\"display_name\": \"Model Kwargs\", \"advanced\": True},\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"password\": True,\n \"advanced\": True,\n },\n \"openai_api_key\": {\"display_name\": \"OpenAI API Key\", \"password\": True},\n \"openai_api_type\": {\n \"display_name\": \"OpenAI API Type\",\n \"advanced\": True,\n \"password\": True,\n },\n \"openai_api_version\": {\n \"display_name\": \"OpenAI API Version\",\n \"advanced\": True,\n },\n \"openai_organization\": {\n \"display_name\": \"OpenAI Organization\",\n \"advanced\": True,\n },\n \"openai_proxy\": {\"display_name\": \"OpenAI Proxy\", \"advanced\": True},\n \"request_timeout\": {\"display_name\": \"Request Timeout\", \"advanced\": True},\n \"show_progress_bar\": {\n \"display_name\": \"Show Progress Bar\",\n \"advanced\": True,\n },\n \"skip_empty\": {\"display_name\": \"Skip Empty\", \"advanced\": True},\n \"tiktoken_model_name\": {\n \"display_name\": \"TikToken Model Name\",\n \"advanced\": True,\n },\n \"tiktoken_enable\": {\"display_name\": \"TikToken Enable\", \"advanced\": True},\n }\n\n def build(\n self,\n openai_api_key: str,\n default_headers: Optional[Dict[str, str]] = None,\n default_query: Optional[NestedDict] = {},\n allowed_special: List[str] = [],\n disallowed_special: List[str] = [\"all\"],\n chunk_size: int = 1000,\n client: Optional[Any] = None,\n deployment: str = \"text-embedding-ada-002\",\n embedding_ctx_length: int = 8191,\n max_retries: int = 6,\n model: str = \"text-embedding-ada-002\",\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n openai_api_type: Optional[str] = None,\n openai_api_version: Optional[str] = None,\n openai_organization: Optional[str] = None,\n openai_proxy: Optional[str] = None,\n request_timeout: Optional[float] = None,\n show_progress_bar: bool = False,\n skip_empty: bool = False,\n tiktoken_enable: bool = True,\n tiktoken_model_name: Optional[str] = None,\n ) -> Embeddings:\n # This is to avoid errors with Vector Stores (e.g Chroma)\n if disallowed_special == [\"all\"]:\n disallowed_special = \"all\" # type: ignore\n\n return OpenAIEmbeddings(\n tiktoken_enabled=tiktoken_enable,\n default_headers=default_headers,\n default_query=default_query,\n allowed_special=set(allowed_special),\n disallowed_special=\"all\",\n chunk_size=chunk_size,\n client=client,\n deployment=deployment,\n embedding_ctx_length=embedding_ctx_length,\n max_retries=max_retries,\n model=model,\n model_kwargs=model_kwargs,\n base_url=openai_api_base,\n api_key=openai_api_key,\n openai_api_type=openai_api_type,\n api_version=openai_api_version,\n organization=openai_organization,\n openai_proxy=openai_proxy,\n timeout=request_timeout,\n show_progress_bar=show_progress_bar,\n skip_empty=skip_empty,\n tiktoken_model_name=tiktoken_model_name,\n )\n",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "code",
- "advanced": true,
- "dynamic": true,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "default_headers": {
- "type": "dict",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "default_headers",
- "display_name": "Default Headers",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "default_query": {
- "type": "NestedDict",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": {},
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "default_query",
- "display_name": "Default Query",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "deployment": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": "text-embedding-ada-002",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "deployment",
- "display_name": "Deployment",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "disallowed_special": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": [
- "all"
- ],
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "disallowed_special",
- "display_name": "Disallowed Special",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "embedding_ctx_length": {
- "type": "int",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": 8191,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "embedding_ctx_length",
- "display_name": "Embedding Context Length",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "max_retries": {
- "type": "int",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": 6,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "max_retries",
- "display_name": "Max Retries",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "model": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": true,
- "show": true,
- "multiline": false,
- "value": "text-embedding-ada-002",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "options": [
- "text-embedding-3-small",
- "text-embedding-3-large",
- "text-embedding-ada-002"
- ],
- "name": "model",
- "display_name": "Model",
- "advanced": false,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "model_kwargs": {
- "type": "NestedDict",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": {},
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "model_kwargs",
- "display_name": "Model Kwargs",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "openai_api_base": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": true,
- "name": "openai_api_base",
- "display_name": "OpenAI API Base",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "openai_api_key": {
- "type": "str",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": true,
- "name": "openai_api_key",
- "display_name": "OpenAI API Key",
- "advanced": false,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ],
- "value": ""
- },
- "openai_api_type": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": true,
- "name": "openai_api_type",
- "display_name": "OpenAI API Type",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "openai_api_version": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "openai_api_version",
- "display_name": "OpenAI API Version",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "openai_organization": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "openai_organization",
- "display_name": "OpenAI Organization",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "openai_proxy": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "openai_proxy",
- "display_name": "OpenAI Proxy",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "request_timeout": {
- "type": "float",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "request_timeout",
- "display_name": "Request Timeout",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "rangeSpec": {
- "step_type": "float",
- "min": -1,
- "max": 1,
- "step": 0.1
- },
- "load_from_db": false,
- "title_case": false
- },
- "show_progress_bar": {
- "type": "bool",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "show_progress_bar",
- "display_name": "Show Progress Bar",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "skip_empty": {
- "type": "bool",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "skip_empty",
- "display_name": "Skip Empty",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "tiktoken_enable": {
- "type": "bool",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": true,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "tiktoken_enable",
- "display_name": "TikToken Enable",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "tiktoken_model_name": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "tiktoken_model_name",
- "display_name": "TikToken Model Name",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "_type": "CustomComponent"
- },
- "description": "Generate embeddings using OpenAI models.",
- "base_classes": [
- "Embeddings"
- ],
- "display_name": "OpenAI Embeddings",
- "documentation": "",
- "custom_fields": {
- "openai_api_key": null,
- "default_headers": null,
- "default_query": null,
- "allowed_special": null,
- "disallowed_special": null,
- "chunk_size": null,
- "client": null,
- "deployment": null,
- "embedding_ctx_length": null,
- "max_retries": null,
- "model": null,
- "model_kwargs": null,
- "openai_api_base": null,
- "openai_api_type": null,
- "openai_api_version": null,
- "openai_organization": null,
- "openai_proxy": null,
- "request_timeout": null,
- "show_progress_bar": null,
- "skip_empty": null,
- "tiktoken_enable": null,
- "tiktoken_model_name": null
- },
- "output_types": [
- "Embeddings"
- ],
- "field_formatters": {},
- "frozen": false,
- "field_order": [],
- "beta": false
- },
- "id": "OpenAIEmbeddings-9TPjc"
- },
- "selected": false,
- "width": 384,
- "height": 383,
- "positionAbsolute": {
- "x": 2814.0402191223047,
- "y": 1955.9268168273086
- },
- "dragging": false
- }
- ],
- "edges": [
- {
- "source": "TextOutput-BDknO",
- "target": "Prompt-xeI6K",
- "sourceHandle": "{\u0153baseClasses\u0153:[\u0153object\u0153,\u0153Text\u0153,\u0153str\u0153],\u0153dataType\u0153:\u0153TextOutput\u0153,\u0153id\u0153:\u0153TextOutput-BDknO\u0153}",
- "targetHandle": "{\u0153fieldName\u0153:\u0153context\u0153,\u0153id\u0153:\u0153Prompt-xeI6K\u0153,\u0153inputTypes\u0153:[\u0153Document\u0153,\u0153BaseOutputParser\u0153,\u0153Record\u0153,\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}",
- "id": "reactflow__edge-TextOutput-BDknO{\u0153baseClasses\u0153:[\u0153object\u0153,\u0153Text\u0153,\u0153str\u0153],\u0153dataType\u0153:\u0153TextOutput\u0153,\u0153id\u0153:\u0153TextOutput-BDknO\u0153}-Prompt-xeI6K{\u0153fieldName\u0153:\u0153context\u0153,\u0153id\u0153:\u0153Prompt-xeI6K\u0153,\u0153inputTypes\u0153:[\u0153Document\u0153,\u0153BaseOutputParser\u0153,\u0153Record\u0153,\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}",
- "data": {
- "targetHandle": {
- "fieldName": "context",
- "id": "Prompt-xeI6K",
- "inputTypes": [
- "Document",
- "BaseOutputParser",
- "Record",
- "Text"
- ],
- "type": "str"
- },
- "sourceHandle": {
- "baseClasses": [
- "object",
- "Text",
- "str"
- ],
- "dataType": "TextOutput",
- "id": "TextOutput-BDknO"
- }
- },
- "style": {
- "stroke": "#555"
- },
- "className": "stroke-gray-900 stroke-connection",
- "selected": false
+ "output_types": ["Text"],
+ "full_path": null,
+ "field_formatters": {},
+ "frozen": false,
+ "field_order": [],
+ "beta": false,
+ "error": null
+ },
+ "id": "Prompt-xeI6K",
+ "description": "Create a prompt template with dynamic variables.",
+ "display_name": "Prompt"
+ },
+ "selected": false,
+ "width": 384,
+ "height": 477,
+ "positionAbsolute": {
+ "x": 2969.0261961391298,
+ "y": 442.1613649809069
+ },
+ "dragging": false
+ },
+ {
+ "id": "ChatOutput-Q39I8",
+ "type": "genericNode",
+ "position": {
+ "x": 3887.2073667611485,
+ "y": 588.4801225794856
+ },
+ "data": {
+ "type": "ChatOutput",
+ "node": {
+ "template": {
+ "code": {
+ "type": "code",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n record_template: Optional[str] = \"{text}\",\n ) -> Union[Text, Record]:\n return super().build(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n record_template=record_template,\n )\n",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "code",
+ "advanced": true,
+ "dynamic": true,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "input_value": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "input_value",
+ "display_name": "Message",
+ "advanced": false,
+ "input_types": ["Text"],
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "record_template": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "{text}",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "record_template",
+ "display_name": "Record Template",
+ "advanced": true,
+ "dynamic": false,
+ "info": "In case of Message being a Record, this template will be used to convert it to text.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "return_record": {
+ "type": "bool",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "return_record",
+ "display_name": "Return Record",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Return the message as a record containing the sender, sender_name, and session_id.",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "sender": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": true,
+ "show": true,
+ "multiline": false,
+ "value": "Machine",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "options": ["Machine", "User"],
+ "name": "sender",
+ "display_name": "Sender Type",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "sender_name": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": "AI",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "sender_name",
+ "display_name": "Sender Name",
+ "advanced": false,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "session_id": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "session_id",
+ "display_name": "Session ID",
+ "advanced": true,
+ "dynamic": false,
+ "info": "If provided, the message will be stored in the memory.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "_type": "CustomComponent"
},
- {
- "source": "ChatInput-yxMKE",
- "target": "Prompt-xeI6K",
- "sourceHandle": "{\u0153baseClasses\u0153:[\u0153Text\u0153,\u0153str\u0153,\u0153object\u0153,\u0153Record\u0153],\u0153dataType\u0153:\u0153ChatInput\u0153,\u0153id\u0153:\u0153ChatInput-yxMKE\u0153}",
- "targetHandle": "{\u0153fieldName\u0153:\u0153question\u0153,\u0153id\u0153:\u0153Prompt-xeI6K\u0153,\u0153inputTypes\u0153:[\u0153Document\u0153,\u0153BaseOutputParser\u0153,\u0153Record\u0153,\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}",
- "id": "reactflow__edge-ChatInput-yxMKE{\u0153baseClasses\u0153:[\u0153Text\u0153,\u0153str\u0153,\u0153object\u0153,\u0153Record\u0153],\u0153dataType\u0153:\u0153ChatInput\u0153,\u0153id\u0153:\u0153ChatInput-yxMKE\u0153}-Prompt-xeI6K{\u0153fieldName\u0153:\u0153question\u0153,\u0153id\u0153:\u0153Prompt-xeI6K\u0153,\u0153inputTypes\u0153:[\u0153Document\u0153,\u0153BaseOutputParser\u0153,\u0153Record\u0153,\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}",
- "data": {
- "targetHandle": {
- "fieldName": "question",
- "id": "Prompt-xeI6K",
- "inputTypes": [
- "Document",
- "BaseOutputParser",
- "Record",
- "Text"
- ],
- "type": "str"
- },
- "sourceHandle": {
- "baseClasses": [
- "Text",
- "str",
- "object",
- "Record"
- ],
- "dataType": "ChatInput",
- "id": "ChatInput-yxMKE"
- }
- },
- "style": {
- "stroke": "#555"
- },
- "className": "stroke-gray-900 stroke-connection",
- "selected": false
+ "description": "Display a chat message in the Playground.",
+ "icon": "ChatOutput",
+ "base_classes": ["object", "Text", "Record", "str"],
+ "display_name": "Chat Output",
+ "documentation": "",
+ "custom_fields": {
+ "sender": null,
+ "sender_name": null,
+ "input_value": null,
+ "session_id": null,
+ "return_record": null,
+ "record_template": null
},
- {
- "source": "Prompt-xeI6K",
- "target": "OpenAIModel-EjXlN",
- "sourceHandle": "{\u0153baseClasses\u0153:[\u0153object\u0153,\u0153Text\u0153,\u0153str\u0153],\u0153dataType\u0153:\u0153Prompt\u0153,\u0153id\u0153:\u0153Prompt-xeI6K\u0153}",
- "targetHandle": "{\u0153fieldName\u0153:\u0153input_value\u0153,\u0153id\u0153:\u0153OpenAIModel-EjXlN\u0153,\u0153inputTypes\u0153:[\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}",
- "id": "reactflow__edge-Prompt-xeI6K{\u0153baseClasses\u0153:[\u0153object\u0153,\u0153Text\u0153,\u0153str\u0153],\u0153dataType\u0153:\u0153Prompt\u0153,\u0153id\u0153:\u0153Prompt-xeI6K\u0153}-OpenAIModel-EjXlN{\u0153fieldName\u0153:\u0153input_value\u0153,\u0153id\u0153:\u0153OpenAIModel-EjXlN\u0153,\u0153inputTypes\u0153:[\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}",
- "data": {
- "targetHandle": {
- "fieldName": "input_value",
- "id": "OpenAIModel-EjXlN",
- "inputTypes": [
- "Text"
- ],
- "type": "str"
- },
- "sourceHandle": {
- "baseClasses": [
- "object",
- "Text",
- "str"
- ],
- "dataType": "Prompt",
- "id": "Prompt-xeI6K"
- }
- },
- "style": {
- "stroke": "#555"
- },
- "className": "stroke-gray-900 stroke-connection",
- "selected": false
+ "output_types": ["Text", "Record"],
+ "field_formatters": {},
+ "frozen": false,
+ "field_order": [],
+ "beta": false
+ },
+ "id": "ChatOutput-Q39I8"
+ },
+ "selected": false,
+ "width": 384,
+ "height": 383,
+ "positionAbsolute": {
+ "x": 3887.2073667611485,
+ "y": 588.4801225794856
+ },
+ "dragging": false
+ },
+ {
+ "id": "File-t0a6a",
+ "type": "genericNode",
+ "position": {
+ "x": 2257.233450682836,
+ "y": 1747.5389618367233
+ },
+ "data": {
+ "type": "File",
+ "node": {
+ "template": {
+ "path": {
+ "type": "file",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [
+ ".txt",
+ ".md",
+ ".mdx",
+ ".csv",
+ ".json",
+ ".yaml",
+ ".yml",
+ ".xml",
+ ".html",
+ ".htm",
+ ".pdf",
+ ".docx"
+ ],
+ "file_path": "51e2b78a-199b-4054-9f32-e288eef6924c/Langflow conversation.pdf",
+ "password": false,
+ "name": "path",
+ "display_name": "Path",
+ "advanced": false,
+ "dynamic": false,
+ "info": "Supported file types: txt, md, mdx, csv, json, yaml, yml, xml, html, htm, pdf, docx",
+ "load_from_db": false,
+ "title_case": false,
+ "value": ""
+ },
+ "code": {
+ "type": "code",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "from pathlib import Path\nfrom typing import Any, Dict\n\nfrom langflow.base.data.utils import TEXT_FILE_TYPES, parse_text_file_to_record\nfrom langflow.interface.custom.custom_component import CustomComponent\nfrom langflow.schema import Record\n\n\nclass FileComponent(CustomComponent):\n display_name = \"File\"\n description = \"A generic file loader.\"\n icon = \"file-text\"\n\n def build_config(self) -> Dict[str, Any]:\n return {\n \"path\": {\n \"display_name\": \"Path\",\n \"field_type\": \"file\",\n \"file_types\": TEXT_FILE_TYPES,\n \"info\": f\"Supported file types: {', '.join(TEXT_FILE_TYPES)}\",\n },\n \"silent_errors\": {\n \"display_name\": \"Silent Errors\",\n \"advanced\": True,\n \"info\": \"If true, errors will not raise an exception.\",\n },\n }\n\n def load_file(self, path: str, silent_errors: bool = False) -> Record:\n resolved_path = self.resolve_path(path)\n path_obj = Path(resolved_path)\n extension = path_obj.suffix[1:].lower()\n if extension == \"doc\":\n raise ValueError(\"doc files are not supported. Please save as .docx\")\n if extension not in TEXT_FILE_TYPES:\n raise ValueError(f\"Unsupported file type: {extension}\")\n record = parse_text_file_to_record(resolved_path, silent_errors)\n self.status = record if record else \"No data\"\n return record or Record()\n\n def build(\n self,\n path: str,\n silent_errors: bool = False,\n ) -> Record:\n record = self.load_file(path, silent_errors)\n self.status = record\n return record\n",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "code",
+ "advanced": true,
+ "dynamic": true,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "silent_errors": {
+ "type": "bool",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "silent_errors",
+ "display_name": "Silent Errors",
+ "advanced": true,
+ "dynamic": false,
+ "info": "If true, errors will not raise an exception.",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "_type": "CustomComponent"
},
- {
- "source": "OpenAIModel-EjXlN",
- "target": "ChatOutput-Q39I8",
- "sourceHandle": "{\u0153baseClasses\u0153:[\u0153object\u0153,\u0153Text\u0153,\u0153str\u0153],\u0153dataType\u0153:\u0153OpenAIModel\u0153,\u0153id\u0153:\u0153OpenAIModel-EjXlN\u0153}",
- "targetHandle": "{\u0153fieldName\u0153:\u0153input_value\u0153,\u0153id\u0153:\u0153ChatOutput-Q39I8\u0153,\u0153inputTypes\u0153:[\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}",
- "id": "reactflow__edge-OpenAIModel-EjXlN{\u0153baseClasses\u0153:[\u0153object\u0153,\u0153Text\u0153,\u0153str\u0153],\u0153dataType\u0153:\u0153OpenAIModel\u0153,\u0153id\u0153:\u0153OpenAIModel-EjXlN\u0153}-ChatOutput-Q39I8{\u0153fieldName\u0153:\u0153input_value\u0153,\u0153id\u0153:\u0153ChatOutput-Q39I8\u0153,\u0153inputTypes\u0153:[\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}",
- "data": {
- "targetHandle": {
- "fieldName": "input_value",
- "id": "ChatOutput-Q39I8",
- "inputTypes": [
- "Text"
- ],
- "type": "str"
- },
- "sourceHandle": {
- "baseClasses": [
- "object",
- "Text",
- "str"
- ],
- "dataType": "OpenAIModel",
- "id": "OpenAIModel-EjXlN"
- }
- },
- "style": {
- "stroke": "#555"
- },
- "className": "stroke-gray-900 stroke-connection",
- "selected": false
+ "description": "A generic file loader.",
+ "icon": "file-text",
+ "base_classes": ["Record"],
+ "display_name": "File",
+ "documentation": "",
+ "custom_fields": {
+ "path": null,
+ "silent_errors": null
},
- {
- "source": "File-t0a6a",
- "target": "RecursiveCharacterTextSplitter-tR9QM",
- "sourceHandle": "{\u0153baseClasses\u0153:[\u0153Record\u0153],\u0153dataType\u0153:\u0153File\u0153,\u0153id\u0153:\u0153File-t0a6a\u0153}",
- "targetHandle": "{\u0153fieldName\u0153:\u0153inputs\u0153,\u0153id\u0153:\u0153RecursiveCharacterTextSplitter-tR9QM\u0153,\u0153inputTypes\u0153:[\u0153Document\u0153,\u0153Record\u0153],\u0153type\u0153:\u0153Document\u0153}",
- "id": "reactflow__edge-File-t0a6a{\u0153baseClasses\u0153:[\u0153Record\u0153],\u0153dataType\u0153:\u0153File\u0153,\u0153id\u0153:\u0153File-t0a6a\u0153}-RecursiveCharacterTextSplitter-tR9QM{\u0153fieldName\u0153:\u0153inputs\u0153,\u0153id\u0153:\u0153RecursiveCharacterTextSplitter-tR9QM\u0153,\u0153inputTypes\u0153:[\u0153Document\u0153,\u0153Record\u0153],\u0153type\u0153:\u0153Document\u0153}",
- "data": {
- "targetHandle": {
- "fieldName": "inputs",
- "id": "RecursiveCharacterTextSplitter-tR9QM",
- "inputTypes": [
- "Document",
- "Record"
- ],
- "type": "Document"
- },
- "sourceHandle": {
- "baseClasses": [
- "Record"
- ],
- "dataType": "File",
- "id": "File-t0a6a"
- }
- },
- "style": {
- "stroke": "#555"
- },
- "className": "stroke-gray-900 stroke-connection",
- "selected": false
+ "output_types": ["Record"],
+ "field_formatters": {},
+ "frozen": false,
+ "field_order": [],
+ "beta": false
+ },
+ "id": "File-t0a6a"
+ },
+ "selected": false,
+ "width": 384,
+ "height": 281,
+ "positionAbsolute": {
+ "x": 2257.233450682836,
+ "y": 1747.5389618367233
+ },
+ "dragging": false
+ },
+ {
+ "id": "RecursiveCharacterTextSplitter-tR9QM",
+ "type": "genericNode",
+ "position": {
+ "x": 2791.013514133929,
+ "y": 1462.9588953494142
+ },
+ "data": {
+ "type": "RecursiveCharacterTextSplitter",
+ "node": {
+ "template": {
+ "inputs": {
+ "type": "Document",
+ "required": true,
+ "placeholder": "",
+ "list": true,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "inputs",
+ "display_name": "Input",
+ "advanced": false,
+ "input_types": ["Document", "Record"],
+ "dynamic": false,
+ "info": "The texts to split.",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "chunk_overlap": {
+ "type": "int",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": 200,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "chunk_overlap",
+ "display_name": "Chunk Overlap",
+ "advanced": false,
+ "dynamic": false,
+ "info": "The amount of overlap between chunks.",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "chunk_size": {
+ "type": "int",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": 1000,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "chunk_size",
+ "display_name": "Chunk Size",
+ "advanced": false,
+ "dynamic": false,
+ "info": "The maximum length of each chunk.",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "code": {
+ "type": "code",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "from typing import Optional\n\nfrom langchain.text_splitter import RecursiveCharacterTextSplitter\nfrom langchain_core.documents import Document\n\nfrom langflow.interface.custom.custom_component import CustomComponent\nfrom langflow.schema import Record\nfrom langflow.utils.util import build_loader_repr_from_records, unescape_string\n\n\nclass RecursiveCharacterTextSplitterComponent(CustomComponent):\n display_name: str = \"Recursive Character Text Splitter\"\n description: str = \"Split text into chunks of a specified length.\"\n documentation: str = \"https://docs.langflow.org/components/text-splitters#recursivecharactertextsplitter\"\n\n def build_config(self):\n return {\n \"inputs\": {\n \"display_name\": \"Input\",\n \"info\": \"The texts to split.\",\n \"input_types\": [\"Document\", \"Record\"],\n },\n \"separators\": {\n \"display_name\": \"Separators\",\n \"info\": 'The characters to split on.\\nIf left empty defaults to [\"\\\\n\\\\n\", \"\\\\n\", \" \", \"\"].',\n \"is_list\": True,\n },\n \"chunk_size\": {\n \"display_name\": \"Chunk Size\",\n \"info\": \"The maximum length of each chunk.\",\n \"field_type\": \"int\",\n \"value\": 1000,\n },\n \"chunk_overlap\": {\n \"display_name\": \"Chunk Overlap\",\n \"info\": \"The amount of overlap between chunks.\",\n \"field_type\": \"int\",\n \"value\": 200,\n },\n \"code\": {\"show\": False},\n }\n\n def build(\n self,\n inputs: list[Document],\n separators: Optional[list[str]] = None,\n chunk_size: Optional[int] = 1000,\n chunk_overlap: Optional[int] = 200,\n ) -> list[Record]:\n \"\"\"\n Split text into chunks of a specified length.\n\n Args:\n separators (list[str]): The characters to split on.\n chunk_size (int): The maximum length of each chunk.\n chunk_overlap (int): The amount of overlap between chunks.\n length_function (function): The function to use to calculate the length of the text.\n\n Returns:\n list[str]: The chunks of text.\n \"\"\"\n\n if separators == \"\":\n separators = None\n elif separators:\n # check if the separators list has escaped characters\n # if there are escaped characters, unescape them\n separators = [unescape_string(x) for x in separators]\n\n # Make sure chunk_size and chunk_overlap are ints\n if isinstance(chunk_size, str):\n chunk_size = int(chunk_size)\n if isinstance(chunk_overlap, str):\n chunk_overlap = int(chunk_overlap)\n splitter = RecursiveCharacterTextSplitter(\n separators=separators,\n chunk_size=chunk_size,\n chunk_overlap=chunk_overlap,\n )\n documents = []\n for _input in inputs:\n if isinstance(_input, Record):\n documents.append(_input.to_lc_document())\n else:\n documents.append(_input)\n docs = splitter.split_documents(documents)\n records = self.to_records(docs)\n self.repr_value = build_loader_repr_from_records(records)\n return records\n",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "code",
+ "advanced": true,
+ "dynamic": true,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "separators": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": true,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "separators",
+ "display_name": "Separators",
+ "advanced": false,
+ "dynamic": false,
+ "info": "The characters to split on.\nIf left empty defaults to [\"\\n\\n\", \"\\n\", \" \", \"\"].",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"],
+ "value": [""]
+ },
+ "_type": "CustomComponent"
},
- {
- "source": "OpenAIEmbeddings-ZlOk1",
- "sourceHandle": "{\u0153baseClasses\u0153:[\u0153Embeddings\u0153],\u0153dataType\u0153:\u0153OpenAIEmbeddings\u0153,\u0153id\u0153:\u0153OpenAIEmbeddings-ZlOk1\u0153}",
- "target": "AstraDBSearch-41nRz",
- "targetHandle": "{\u0153fieldName\u0153:\u0153embedding\u0153,\u0153id\u0153:\u0153AstraDBSearch-41nRz\u0153,\u0153inputTypes\u0153:null,\u0153type\u0153:\u0153Embeddings\u0153}",
- "data": {
- "targetHandle": {
- "fieldName": "embedding",
- "id": "AstraDBSearch-41nRz",
- "inputTypes": null,
- "type": "Embeddings"
- },
- "sourceHandle": {
- "baseClasses": [
- "Embeddings"
- ],
- "dataType": "OpenAIEmbeddings",
- "id": "OpenAIEmbeddings-ZlOk1"
- }
- },
- "style": {
- "stroke": "#555"
- },
- "className": "stroke-gray-900 stroke-connection",
- "id": "reactflow__edge-OpenAIEmbeddings-ZlOk1{\u0153baseClasses\u0153:[\u0153Embeddings\u0153],\u0153dataType\u0153:\u0153OpenAIEmbeddings\u0153,\u0153id\u0153:\u0153OpenAIEmbeddings-ZlOk1\u0153}-AstraDBSearch-41nRz{\u0153fieldName\u0153:\u0153embedding\u0153,\u0153id\u0153:\u0153AstraDBSearch-41nRz\u0153,\u0153inputTypes\u0153:null,\u0153type\u0153:\u0153Embeddings\u0153}"
+ "description": "Split text into chunks of a specified length.",
+ "base_classes": ["Record"],
+ "display_name": "Recursive Character Text Splitter",
+ "documentation": "https://docs.langflow.org/components/text-splitters#recursivecharactertextsplitter",
+ "custom_fields": {
+ "inputs": null,
+ "separators": null,
+ "chunk_size": null,
+ "chunk_overlap": null
},
- {
- "source": "ChatInput-yxMKE",
- "sourceHandle": "{\u0153baseClasses\u0153:[\u0153Text\u0153,\u0153str\u0153,\u0153object\u0153,\u0153Record\u0153],\u0153dataType\u0153:\u0153ChatInput\u0153,\u0153id\u0153:\u0153ChatInput-yxMKE\u0153}",
- "target": "AstraDBSearch-41nRz",
- "targetHandle": "{\u0153fieldName\u0153:\u0153input_value\u0153,\u0153id\u0153:\u0153AstraDBSearch-41nRz\u0153,\u0153inputTypes\u0153:[\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}",
- "data": {
- "targetHandle": {
- "fieldName": "input_value",
- "id": "AstraDBSearch-41nRz",
- "inputTypes": [
- "Text"
- ],
- "type": "str"
- },
- "sourceHandle": {
- "baseClasses": [
- "Text",
- "str",
- "object",
- "Record"
- ],
- "dataType": "ChatInput",
- "id": "ChatInput-yxMKE"
- }
- },
- "style": {
- "stroke": "#555"
- },
- "className": "stroke-gray-900 stroke-connection",
- "id": "reactflow__edge-ChatInput-yxMKE{\u0153baseClasses\u0153:[\u0153Text\u0153,\u0153str\u0153,\u0153object\u0153,\u0153Record\u0153],\u0153dataType\u0153:\u0153ChatInput\u0153,\u0153id\u0153:\u0153ChatInput-yxMKE\u0153}-AstraDBSearch-41nRz{\u0153fieldName\u0153:\u0153input_value\u0153,\u0153id\u0153:\u0153AstraDBSearch-41nRz\u0153,\u0153inputTypes\u0153:[\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}"
+ "output_types": ["Record"],
+ "field_formatters": {},
+ "frozen": false,
+ "field_order": [],
+ "beta": false
+ },
+ "id": "RecursiveCharacterTextSplitter-tR9QM"
+ },
+ "selected": false,
+ "width": 384,
+ "height": 501,
+ "positionAbsolute": {
+ "x": 2791.013514133929,
+ "y": 1462.9588953494142
+ },
+ "dragging": false
+ },
+ {
+ "id": "AstraDBSearch-41nRz",
+ "type": "genericNode",
+ "position": {
+ "x": 1723.976434815103,
+ "y": 277.03317407245913
+ },
+ "data": {
+ "type": "AstraDBSearch",
+ "node": {
+ "template": {
+ "embedding": {
+ "type": "Embeddings",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "embedding",
+ "display_name": "Embedding",
+ "advanced": false,
+ "dynamic": false,
+ "info": "Embedding to use",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "input_value": {
+ "type": "str",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "input_value",
+ "display_name": "Input Value",
+ "advanced": false,
+ "dynamic": false,
+ "info": "Input value to search",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "api_endpoint": {
+ "type": "str",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "api_endpoint",
+ "display_name": "API Endpoint",
+ "advanced": false,
+ "dynamic": false,
+ "info": "API endpoint URL for the Astra DB service.",
+ "load_from_db": true,
+ "title_case": false,
+ "input_types": ["Text"],
+ "value": "ASTRA_DB_API_ENDPOINT"
+ },
+ "batch_size": {
+ "type": "int",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "batch_size",
+ "display_name": "Batch Size",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Optional number of records to process in a single batch.",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "bulk_delete_concurrency": {
+ "type": "int",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "bulk_delete_concurrency",
+ "display_name": "Bulk Delete Concurrency",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Optional concurrency level for bulk delete operations.",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "bulk_insert_batch_concurrency": {
+ "type": "int",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "bulk_insert_batch_concurrency",
+ "display_name": "Bulk Insert Batch Concurrency",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Optional concurrency level for bulk insert operations.",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "bulk_insert_overwrite_concurrency": {
+ "type": "int",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "bulk_insert_overwrite_concurrency",
+ "display_name": "Bulk Insert Overwrite Concurrency",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Optional concurrency level for bulk insert operations that overwrite existing records.",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "code": {
+ "type": "code",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "from typing import List, Optional\n\nfrom langflow.components.vectorstores.AstraDB import AstraDBVectorStoreComponent\nfrom langflow.components.vectorstores.base.model import LCVectorStoreComponent\nfrom langflow.field_typing import Embeddings, Text\nfrom langflow.schema import Record\n\n\nclass AstraDBSearchComponent(LCVectorStoreComponent):\n display_name = \"Astra DB Search\"\n description = \"Searches an existing Astra DB Vector Store.\"\n icon = \"AstraDB\"\n field_order = [\"token\", \"api_endpoint\", \"collection_name\", \"input_value\", \"embedding\"]\n\n def build_config(self):\n return {\n \"search_type\": {\n \"display_name\": \"Search Type\",\n \"options\": [\"Similarity\", \"MMR\"],\n },\n \"input_value\": {\n \"display_name\": \"Input Value\",\n \"info\": \"Input value to search\",\n },\n \"embedding\": {\"display_name\": \"Embedding\", \"info\": \"Embedding to use\"},\n \"collection_name\": {\n \"display_name\": \"Collection Name\",\n \"info\": \"The name of the collection within Astra DB where the vectors will be stored.\",\n },\n \"token\": {\n \"display_name\": \"Token\",\n \"info\": \"Authentication token for accessing Astra DB.\",\n \"password\": True,\n },\n \"api_endpoint\": {\n \"display_name\": \"API Endpoint\",\n \"info\": \"API endpoint URL for the Astra DB service.\",\n },\n \"namespace\": {\n \"display_name\": \"Namespace\",\n \"info\": \"Optional namespace within Astra DB to use for the collection.\",\n \"advanced\": True,\n },\n \"metric\": {\n \"display_name\": \"Metric\",\n \"info\": \"Optional distance metric for vector comparisons in the vector store.\",\n \"advanced\": True,\n },\n \"batch_size\": {\n \"display_name\": \"Batch Size\",\n \"info\": \"Optional number of records to process in a single batch.\",\n \"advanced\": True,\n },\n \"bulk_insert_batch_concurrency\": {\n \"display_name\": \"Bulk Insert Batch Concurrency\",\n \"info\": \"Optional concurrency level for bulk insert operations.\",\n \"advanced\": True,\n },\n \"bulk_insert_overwrite_concurrency\": {\n \"display_name\": \"Bulk Insert Overwrite Concurrency\",\n \"info\": \"Optional concurrency level for bulk insert operations that overwrite existing records.\",\n \"advanced\": True,\n },\n \"bulk_delete_concurrency\": {\n \"display_name\": \"Bulk Delete Concurrency\",\n \"info\": \"Optional concurrency level for bulk delete operations.\",\n \"advanced\": True,\n },\n \"setup_mode\": {\n \"display_name\": \"Setup Mode\",\n \"info\": \"Configuration mode for setting up the vector store, with options like \u201cSync\u201d, \u201cAsync\u201d, or \u201cOff\u201d.\",\n \"options\": [\"Sync\", \"Async\", \"Off\"],\n \"advanced\": True,\n },\n \"pre_delete_collection\": {\n \"display_name\": \"Pre Delete Collection\",\n \"info\": \"Boolean flag to determine whether to delete the collection before creating a new one.\",\n \"advanced\": True,\n },\n \"metadata_indexing_include\": {\n \"display_name\": \"Metadata Indexing Include\",\n \"info\": \"Optional list of metadata fields to include in the indexing.\",\n \"advanced\": True,\n },\n \"metadata_indexing_exclude\": {\n \"display_name\": \"Metadata Indexing Exclude\",\n \"info\": \"Optional list of metadata fields to exclude from the indexing.\",\n \"advanced\": True,\n },\n \"collection_indexing_policy\": {\n \"display_name\": \"Collection Indexing Policy\",\n \"info\": \"Optional dictionary defining the indexing policy for the collection.\",\n \"advanced\": True,\n },\n \"number_of_results\": {\n \"display_name\": \"Number of Results\",\n \"info\": \"Number of results to return.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n embedding: Embeddings,\n collection_name: str,\n input_value: Text,\n token: str,\n api_endpoint: str,\n search_type: str = \"Similarity\",\n number_of_results: int = 4,\n namespace: Optional[str] = None,\n metric: Optional[str] = None,\n batch_size: Optional[int] = None,\n bulk_insert_batch_concurrency: Optional[int] = None,\n bulk_insert_overwrite_concurrency: Optional[int] = None,\n bulk_delete_concurrency: Optional[int] = None,\n setup_mode: str = \"Sync\",\n pre_delete_collection: bool = False,\n metadata_indexing_include: Optional[List[str]] = None,\n metadata_indexing_exclude: Optional[List[str]] = None,\n collection_indexing_policy: Optional[dict] = None,\n ) -> List[Record]:\n vector_store = AstraDBVectorStoreComponent().build(\n embedding=embedding,\n collection_name=collection_name,\n token=token,\n api_endpoint=api_endpoint,\n namespace=namespace,\n metric=metric,\n batch_size=batch_size,\n bulk_insert_batch_concurrency=bulk_insert_batch_concurrency,\n bulk_insert_overwrite_concurrency=bulk_insert_overwrite_concurrency,\n bulk_delete_concurrency=bulk_delete_concurrency,\n setup_mode=setup_mode,\n pre_delete_collection=pre_delete_collection,\n metadata_indexing_include=metadata_indexing_include,\n metadata_indexing_exclude=metadata_indexing_exclude,\n collection_indexing_policy=collection_indexing_policy,\n )\n try:\n return self.search_with_vector_store(input_value, search_type, vector_store, k=number_of_results)\n except KeyError as e:\n if \"content\" in str(e):\n raise ValueError(\n \"You should ingest data through Langflow (or LangChain) to query it in Langflow. Your collection does not contain a field name 'content'.\"\n )\n else:\n raise e\n",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "code",
+ "advanced": true,
+ "dynamic": true,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "collection_indexing_policy": {
+ "type": "dict",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "collection_indexing_policy",
+ "display_name": "Collection Indexing Policy",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Optional dictionary defining the indexing policy for the collection.",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "collection_name": {
+ "type": "str",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "collection_name",
+ "display_name": "Collection Name",
+ "advanced": false,
+ "dynamic": false,
+ "info": "The name of the collection within Astra DB where the vectors will be stored.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"],
+ "value": "langflow"
+ },
+ "metadata_indexing_exclude": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": true,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "metadata_indexing_exclude",
+ "display_name": "Metadata Indexing Exclude",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Optional list of metadata fields to exclude from the indexing.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "metadata_indexing_include": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": true,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "metadata_indexing_include",
+ "display_name": "Metadata Indexing Include",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Optional list of metadata fields to include in the indexing.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "metric": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "metric",
+ "display_name": "Metric",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Optional distance metric for vector comparisons in the vector store.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "namespace": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "namespace",
+ "display_name": "Namespace",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Optional namespace within Astra DB to use for the collection.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "number_of_results": {
+ "type": "int",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": 4,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "number_of_results",
+ "display_name": "Number of Results",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Number of results to return.",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "pre_delete_collection": {
+ "type": "bool",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "pre_delete_collection",
+ "display_name": "Pre Delete Collection",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Boolean flag to determine whether to delete the collection before creating a new one.",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "search_type": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": true,
+ "show": true,
+ "multiline": false,
+ "value": "Similarity",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "options": ["Similarity", "MMR"],
+ "name": "search_type",
+ "display_name": "Search Type",
+ "advanced": false,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "setup_mode": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": true,
+ "show": true,
+ "multiline": false,
+ "value": "Sync",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "options": ["Sync", "Async", "Off"],
+ "name": "setup_mode",
+ "display_name": "Setup Mode",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Configuration mode for setting up the vector store, with options like \u201cSync\u201d, \u201cAsync\u201d, or \u201cOff\u201d.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "token": {
+ "type": "str",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": true,
+ "name": "token",
+ "display_name": "Token",
+ "advanced": false,
+ "dynamic": false,
+ "info": "Authentication token for accessing Astra DB.",
+ "load_from_db": true,
+ "title_case": false,
+ "input_types": ["Text"],
+ "value": "ASTRA_DB_APPLICATION_TOKEN"
+ },
+ "_type": "CustomComponent"
},
- {
- "source": "RecursiveCharacterTextSplitter-tR9QM",
- "sourceHandle": "{\u0153baseClasses\u0153:[\u0153Record\u0153],\u0153dataType\u0153:\u0153RecursiveCharacterTextSplitter\u0153,\u0153id\u0153:\u0153RecursiveCharacterTextSplitter-tR9QM\u0153}",
- "target": "AstraDB-eUCSS",
- "targetHandle": "{\u0153fieldName\u0153:\u0153inputs\u0153,\u0153id\u0153:\u0153AstraDB-eUCSS\u0153,\u0153inputTypes\u0153:null,\u0153type\u0153:\u0153Record\u0153}",
- "data": {
- "targetHandle": {
- "fieldName": "inputs",
- "id": "AstraDB-eUCSS",
- "inputTypes": null,
- "type": "Record"
- },
- "sourceHandle": {
- "baseClasses": [
- "Record"
- ],
- "dataType": "RecursiveCharacterTextSplitter",
- "id": "RecursiveCharacterTextSplitter-tR9QM"
- }
- },
- "style": {
- "stroke": "#555"
- },
- "className": "stroke-gray-900 stroke-connection",
- "id": "reactflow__edge-RecursiveCharacterTextSplitter-tR9QM{\u0153baseClasses\u0153:[\u0153Record\u0153],\u0153dataType\u0153:\u0153RecursiveCharacterTextSplitter\u0153,\u0153id\u0153:\u0153RecursiveCharacterTextSplitter-tR9QM\u0153}-AstraDB-eUCSS{\u0153fieldName\u0153:\u0153inputs\u0153,\u0153id\u0153:\u0153AstraDB-eUCSS\u0153,\u0153inputTypes\u0153:null,\u0153type\u0153:\u0153Record\u0153}",
- "selected": false
+ "description": "Searches an existing Astra DB Vector Store.",
+ "icon": "AstraDB",
+ "base_classes": ["Record"],
+ "display_name": "Astra DB Search",
+ "documentation": "",
+ "custom_fields": {
+ "embedding": null,
+ "collection_name": null,
+ "input_value": null,
+ "token": null,
+ "api_endpoint": null,
+ "search_type": null,
+ "number_of_results": null,
+ "namespace": null,
+ "metric": null,
+ "batch_size": null,
+ "bulk_insert_batch_concurrency": null,
+ "bulk_insert_overwrite_concurrency": null,
+ "bulk_delete_concurrency": null,
+ "setup_mode": null,
+ "pre_delete_collection": null,
+ "metadata_indexing_include": null,
+ "metadata_indexing_exclude": null,
+ "collection_indexing_policy": null
},
- {
- "source": "OpenAIEmbeddings-9TPjc",
- "sourceHandle": "{\u0153baseClasses\u0153:[\u0153Embeddings\u0153],\u0153dataType\u0153:\u0153OpenAIEmbeddings\u0153,\u0153id\u0153:\u0153OpenAIEmbeddings-9TPjc\u0153}",
- "target": "AstraDB-eUCSS",
- "targetHandle": "{\u0153fieldName\u0153:\u0153embedding\u0153,\u0153id\u0153:\u0153AstraDB-eUCSS\u0153,\u0153inputTypes\u0153:null,\u0153type\u0153:\u0153Embeddings\u0153}",
- "data": {
- "targetHandle": {
- "fieldName": "embedding",
- "id": "AstraDB-eUCSS",
- "inputTypes": null,
- "type": "Embeddings"
- },
- "sourceHandle": {
- "baseClasses": [
- "Embeddings"
- ],
- "dataType": "OpenAIEmbeddings",
- "id": "OpenAIEmbeddings-9TPjc"
- }
- },
- "style": {
- "stroke": "#555"
- },
- "className": "stroke-gray-900 stroke-connection",
- "id": "reactflow__edge-OpenAIEmbeddings-9TPjc{\u0153baseClasses\u0153:[\u0153Embeddings\u0153],\u0153dataType\u0153:\u0153OpenAIEmbeddings\u0153,\u0153id\u0153:\u0153OpenAIEmbeddings-9TPjc\u0153}-AstraDB-eUCSS{\u0153fieldName\u0153:\u0153embedding\u0153,\u0153id\u0153:\u0153AstraDB-eUCSS\u0153,\u0153inputTypes\u0153:null,\u0153type\u0153:\u0153Embeddings\u0153}",
- "selected": false
- },
- {
- "source": "AstraDBSearch-41nRz",
- "sourceHandle": "{\u0153baseClasses\u0153:[\u0153Record\u0153],\u0153dataType\u0153:\u0153AstraDBSearch\u0153,\u0153id\u0153:\u0153AstraDBSearch-41nRz\u0153}",
- "target": "TextOutput-BDknO",
- "targetHandle": "{\u0153fieldName\u0153:\u0153input_value\u0153,\u0153id\u0153:\u0153TextOutput-BDknO\u0153,\u0153inputTypes\u0153:[\u0153Record\u0153,\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}",
- "data": {
- "targetHandle": {
- "fieldName": "input_value",
- "id": "TextOutput-BDknO",
- "inputTypes": [
- "Record",
- "Text"
- ],
- "type": "str"
- },
- "sourceHandle": {
- "baseClasses": [
- "Record"
- ],
- "dataType": "AstraDBSearch",
- "id": "AstraDBSearch-41nRz"
- }
- },
- "style": {
- "stroke": "#555"
- },
- "className": "stroke-gray-900 stroke-connection",
- "id": "reactflow__edge-AstraDBSearch-41nRz{\u0153baseClasses\u0153:[\u0153Record\u0153],\u0153dataType\u0153:\u0153AstraDBSearch\u0153,\u0153id\u0153:\u0153AstraDBSearch-41nRz\u0153}-TextOutput-BDknO{\u0153fieldName\u0153:\u0153input_value\u0153,\u0153id\u0153:\u0153TextOutput-BDknO\u0153,\u0153inputTypes\u0153:[\u0153Record\u0153,\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}"
- }
- ],
- "viewport": {
- "x": -259.6782520315529,
- "y": 90.3428735006047,
- "zoom": 0.2687057134854984
+ "output_types": ["Record"],
+ "field_formatters": {},
+ "frozen": false,
+ "field_order": [
+ "token",
+ "api_endpoint",
+ "collection_name",
+ "input_value",
+ "embedding"
+ ],
+ "beta": false
+ },
+ "id": "AstraDBSearch-41nRz"
+ },
+ "selected": false,
+ "width": 384,
+ "height": 713,
+ "dragging": false,
+ "positionAbsolute": {
+ "x": 1723.976434815103,
+ "y": 277.03317407245913
}
- },
- "description": "Visit https://pre-release.langflow.org/tutorials/rag-with-astradb for a detailed guide of this project.\nThis project give you both Ingestion and RAG in a single file. You'll need to visit https://astra.datastax.com/ to create an Astra DB instance, your Token and grab an API Endpoint.\nRunning this project requires you to add a file in the Files component, then define a Collection Name and click on the Play icon on the Astra DB component. \n\nAfter the ingestion ends you are ready to click on the Run button at the lower left corner and start asking questions about your data.",
- "name": "Vector Store RAG",
- "last_tested_version": "1.0.0a0",
- "is_component": false
+ },
+ {
+ "id": "AstraDB-eUCSS",
+ "type": "genericNode",
+ "position": {
+ "x": 3372.04958055989,
+ "y": 1611.0742035495277
+ },
+ "data": {
+ "type": "AstraDB",
+ "node": {
+ "template": {
+ "embedding": {
+ "type": "Embeddings",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "embedding",
+ "display_name": "Embedding",
+ "advanced": false,
+ "dynamic": false,
+ "info": "Embedding to use",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "inputs": {
+ "type": "Record",
+ "required": false,
+ "placeholder": "",
+ "list": true,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "inputs",
+ "display_name": "Inputs",
+ "advanced": false,
+ "dynamic": false,
+ "info": "Optional list of records to be processed and stored in the vector store.",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "api_endpoint": {
+ "type": "str",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "api_endpoint",
+ "display_name": "API Endpoint",
+ "advanced": false,
+ "dynamic": false,
+ "info": "API endpoint URL for the Astra DB service.",
+ "load_from_db": true,
+ "title_case": false,
+ "input_types": ["Text"],
+ "value": "ASTRA_DB_API_ENDPOINT"
+ },
+ "batch_size": {
+ "type": "int",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "batch_size",
+ "display_name": "Batch Size",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Optional number of records to process in a single batch.",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "bulk_delete_concurrency": {
+ "type": "int",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "bulk_delete_concurrency",
+ "display_name": "Bulk Delete Concurrency",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Optional concurrency level for bulk delete operations.",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "bulk_insert_batch_concurrency": {
+ "type": "int",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "bulk_insert_batch_concurrency",
+ "display_name": "Bulk Insert Batch Concurrency",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Optional concurrency level for bulk insert operations.",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "bulk_insert_overwrite_concurrency": {
+ "type": "int",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "bulk_insert_overwrite_concurrency",
+ "display_name": "Bulk Insert Overwrite Concurrency",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Optional concurrency level for bulk insert operations that overwrite existing records.",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "code": {
+ "type": "code",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "from typing import List, Optional\n\nfrom langchain_astradb import AstraDBVectorStore\nfrom langchain_astradb.utils.astradb import SetupMode\n\nfrom langflow.custom import CustomComponent\nfrom langflow.field_typing import Embeddings, VectorStore\nfrom langflow.schema import Record\n\n\nclass AstraDBVectorStoreComponent(CustomComponent):\n display_name = \"Astra DB\"\n description = \"Builds or loads an Astra DB Vector Store.\"\n icon = \"AstraDB\"\n field_order = [\"token\", \"api_endpoint\", \"collection_name\", \"inputs\", \"embedding\"]\n\n def build_config(self):\n return {\n \"inputs\": {\n \"display_name\": \"Inputs\",\n \"info\": \"Optional list of records to be processed and stored in the vector store.\",\n },\n \"embedding\": {\"display_name\": \"Embedding\", \"info\": \"Embedding to use\"},\n \"collection_name\": {\n \"display_name\": \"Collection Name\",\n \"info\": \"The name of the collection within Astra DB where the vectors will be stored.\",\n },\n \"token\": {\n \"display_name\": \"Token\",\n \"info\": \"Authentication token for accessing Astra DB.\",\n \"password\": True,\n },\n \"api_endpoint\": {\n \"display_name\": \"API Endpoint\",\n \"info\": \"API endpoint URL for the Astra DB service.\",\n },\n \"namespace\": {\n \"display_name\": \"Namespace\",\n \"info\": \"Optional namespace within Astra DB to use for the collection.\",\n \"advanced\": True,\n },\n \"metric\": {\n \"display_name\": \"Metric\",\n \"info\": \"Optional distance metric for vector comparisons in the vector store.\",\n \"advanced\": True,\n },\n \"batch_size\": {\n \"display_name\": \"Batch Size\",\n \"info\": \"Optional number of records to process in a single batch.\",\n \"advanced\": True,\n },\n \"bulk_insert_batch_concurrency\": {\n \"display_name\": \"Bulk Insert Batch Concurrency\",\n \"info\": \"Optional concurrency level for bulk insert operations.\",\n \"advanced\": True,\n },\n \"bulk_insert_overwrite_concurrency\": {\n \"display_name\": \"Bulk Insert Overwrite Concurrency\",\n \"info\": \"Optional concurrency level for bulk insert operations that overwrite existing records.\",\n \"advanced\": True,\n },\n \"bulk_delete_concurrency\": {\n \"display_name\": \"Bulk Delete Concurrency\",\n \"info\": \"Optional concurrency level for bulk delete operations.\",\n \"advanced\": True,\n },\n \"setup_mode\": {\n \"display_name\": \"Setup Mode\",\n \"info\": \"Configuration mode for setting up the vector store, with options like \u201cSync\u201d, \u201cAsync\u201d, or \u201cOff\u201d.\",\n \"options\": [\"Sync\", \"Async\", \"Off\"],\n \"advanced\": True,\n },\n \"pre_delete_collection\": {\n \"display_name\": \"Pre Delete Collection\",\n \"info\": \"Boolean flag to determine whether to delete the collection before creating a new one.\",\n \"advanced\": True,\n },\n \"metadata_indexing_include\": {\n \"display_name\": \"Metadata Indexing Include\",\n \"info\": \"Optional list of metadata fields to include in the indexing.\",\n \"advanced\": True,\n },\n \"metadata_indexing_exclude\": {\n \"display_name\": \"Metadata Indexing Exclude\",\n \"info\": \"Optional list of metadata fields to exclude from the indexing.\",\n \"advanced\": True,\n },\n \"collection_indexing_policy\": {\n \"display_name\": \"Collection Indexing Policy\",\n \"info\": \"Optional dictionary defining the indexing policy for the collection.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n embedding: Embeddings,\n token: str,\n api_endpoint: str,\n collection_name: str,\n inputs: Optional[List[Record]] = None,\n namespace: Optional[str] = None,\n metric: Optional[str] = None,\n batch_size: Optional[int] = None,\n bulk_insert_batch_concurrency: Optional[int] = None,\n bulk_insert_overwrite_concurrency: Optional[int] = None,\n bulk_delete_concurrency: Optional[int] = None,\n setup_mode: str = \"Async\",\n pre_delete_collection: bool = False,\n metadata_indexing_include: Optional[List[str]] = None,\n metadata_indexing_exclude: Optional[List[str]] = None,\n collection_indexing_policy: Optional[dict] = None,\n ) -> VectorStore:\n try:\n setup_mode_value = SetupMode[setup_mode.upper()]\n except KeyError:\n raise ValueError(f\"Invalid setup mode: {setup_mode}\")\n if inputs:\n documents = [_input.to_lc_document() for _input in inputs]\n\n vector_store = AstraDBVectorStore.from_documents(\n documents=documents,\n embedding=embedding,\n collection_name=collection_name,\n token=token,\n api_endpoint=api_endpoint,\n namespace=namespace,\n metric=metric,\n batch_size=batch_size,\n bulk_insert_batch_concurrency=bulk_insert_batch_concurrency,\n bulk_insert_overwrite_concurrency=bulk_insert_overwrite_concurrency,\n bulk_delete_concurrency=bulk_delete_concurrency,\n setup_mode=setup_mode_value,\n pre_delete_collection=pre_delete_collection,\n metadata_indexing_include=metadata_indexing_include,\n metadata_indexing_exclude=metadata_indexing_exclude,\n collection_indexing_policy=collection_indexing_policy,\n )\n else:\n vector_store = AstraDBVectorStore(\n embedding=embedding,\n collection_name=collection_name,\n token=token,\n api_endpoint=api_endpoint,\n namespace=namespace,\n metric=metric,\n batch_size=batch_size,\n bulk_insert_batch_concurrency=bulk_insert_batch_concurrency,\n bulk_insert_overwrite_concurrency=bulk_insert_overwrite_concurrency,\n bulk_delete_concurrency=bulk_delete_concurrency,\n setup_mode=setup_mode_value,\n pre_delete_collection=pre_delete_collection,\n metadata_indexing_include=metadata_indexing_include,\n metadata_indexing_exclude=metadata_indexing_exclude,\n collection_indexing_policy=collection_indexing_policy,\n )\n\n return vector_store\n",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "code",
+ "advanced": true,
+ "dynamic": true,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "collection_indexing_policy": {
+ "type": "dict",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "collection_indexing_policy",
+ "display_name": "Collection Indexing Policy",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Optional dictionary defining the indexing policy for the collection.",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "collection_name": {
+ "type": "str",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "collection_name",
+ "display_name": "Collection Name",
+ "advanced": false,
+ "dynamic": false,
+ "info": "The name of the collection within Astra DB where the vectors will be stored.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"],
+ "value": "langflow"
+ },
+ "metadata_indexing_exclude": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": true,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "metadata_indexing_exclude",
+ "display_name": "Metadata Indexing Exclude",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Optional list of metadata fields to exclude from the indexing.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "metadata_indexing_include": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": true,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "metadata_indexing_include",
+ "display_name": "Metadata Indexing Include",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Optional list of metadata fields to include in the indexing.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "metric": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "metric",
+ "display_name": "Metric",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Optional distance metric for vector comparisons in the vector store.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "namespace": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "namespace",
+ "display_name": "Namespace",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Optional namespace within Astra DB to use for the collection.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "pre_delete_collection": {
+ "type": "bool",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "pre_delete_collection",
+ "display_name": "Pre Delete Collection",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Boolean flag to determine whether to delete the collection before creating a new one.",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "setup_mode": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": true,
+ "show": true,
+ "multiline": false,
+ "value": "Async",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "options": ["Sync", "Async", "Off"],
+ "name": "setup_mode",
+ "display_name": "Setup Mode",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Configuration mode for setting up the vector store, with options like \u201cSync\u201d, \u201cAsync\u201d, or \u201cOff\u201d.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "token": {
+ "type": "str",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": true,
+ "name": "token",
+ "display_name": "Token",
+ "advanced": false,
+ "dynamic": false,
+ "info": "Authentication token for accessing Astra DB.",
+ "load_from_db": true,
+ "title_case": false,
+ "input_types": ["Text"],
+ "value": "ASTRA_DB_APPLICATION_TOKEN"
+ },
+ "_type": "CustomComponent"
+ },
+ "description": "Builds or loads an Astra DB Vector Store.",
+ "icon": "AstraDB",
+ "base_classes": ["VectorStore"],
+ "display_name": "Astra DB",
+ "documentation": "",
+ "custom_fields": {
+ "embedding": null,
+ "token": null,
+ "api_endpoint": null,
+ "collection_name": null,
+ "inputs": null,
+ "namespace": null,
+ "metric": null,
+ "batch_size": null,
+ "bulk_insert_batch_concurrency": null,
+ "bulk_insert_overwrite_concurrency": null,
+ "bulk_delete_concurrency": null,
+ "setup_mode": null,
+ "pre_delete_collection": null,
+ "metadata_indexing_include": null,
+ "metadata_indexing_exclude": null,
+ "collection_indexing_policy": null
+ },
+ "output_types": ["VectorStore"],
+ "field_formatters": {},
+ "frozen": false,
+ "field_order": [
+ "token",
+ "api_endpoint",
+ "collection_name",
+ "inputs",
+ "embedding"
+ ],
+ "beta": false
+ },
+ "id": "AstraDB-eUCSS"
+ },
+ "selected": false,
+ "width": 384,
+ "height": 573,
+ "positionAbsolute": {
+ "x": 3372.04958055989,
+ "y": 1611.0742035495277
+ },
+ "dragging": false
+ },
+ {
+ "id": "OpenAIEmbeddings-9TPjc",
+ "type": "genericNode",
+ "position": {
+ "x": 2814.0402191223047,
+ "y": 1955.9268168273086
+ },
+ "data": {
+ "type": "OpenAIEmbeddings",
+ "node": {
+ "template": {
+ "allowed_special": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": [],
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "allowed_special",
+ "display_name": "Allowed Special",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "chunk_size": {
+ "type": "int",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": 1000,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "chunk_size",
+ "display_name": "Chunk Size",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "client": {
+ "type": "Any",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "client",
+ "display_name": "Client",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "code": {
+ "type": "code",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "from typing import Any, Dict, List, Optional\n\nfrom langchain_openai.embeddings.base import OpenAIEmbeddings\n\nfrom langflow.field_typing import Embeddings, NestedDict\nfrom langflow.interface.custom.custom_component import CustomComponent\n\n\nclass OpenAIEmbeddingsComponent(CustomComponent):\n display_name = \"OpenAI Embeddings\"\n description = \"Generate embeddings using OpenAI models.\"\n\n def build_config(self):\n return {\n \"allowed_special\": {\n \"display_name\": \"Allowed Special\",\n \"advanced\": True,\n \"field_type\": \"str\",\n \"is_list\": True,\n },\n \"default_headers\": {\n \"display_name\": \"Default Headers\",\n \"advanced\": True,\n \"field_type\": \"dict\",\n },\n \"default_query\": {\n \"display_name\": \"Default Query\",\n \"advanced\": True,\n \"field_type\": \"NestedDict\",\n },\n \"disallowed_special\": {\n \"display_name\": \"Disallowed Special\",\n \"advanced\": True,\n \"field_type\": \"str\",\n \"is_list\": True,\n },\n \"chunk_size\": {\"display_name\": \"Chunk Size\", \"advanced\": True},\n \"client\": {\"display_name\": \"Client\", \"advanced\": True},\n \"deployment\": {\"display_name\": \"Deployment\", \"advanced\": True},\n \"embedding_ctx_length\": {\n \"display_name\": \"Embedding Context Length\",\n \"advanced\": True,\n },\n \"max_retries\": {\"display_name\": \"Max Retries\", \"advanced\": True},\n \"model\": {\n \"display_name\": \"Model\",\n \"advanced\": False,\n \"options\": [\n \"text-embedding-3-small\",\n \"text-embedding-3-large\",\n \"text-embedding-ada-002\",\n ],\n },\n \"model_kwargs\": {\"display_name\": \"Model Kwargs\", \"advanced\": True},\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"password\": True,\n \"advanced\": True,\n },\n \"openai_api_key\": {\"display_name\": \"OpenAI API Key\", \"password\": True},\n \"openai_api_type\": {\n \"display_name\": \"OpenAI API Type\",\n \"advanced\": True,\n \"password\": True,\n },\n \"openai_api_version\": {\n \"display_name\": \"OpenAI API Version\",\n \"advanced\": True,\n },\n \"openai_organization\": {\n \"display_name\": \"OpenAI Organization\",\n \"advanced\": True,\n },\n \"openai_proxy\": {\"display_name\": \"OpenAI Proxy\", \"advanced\": True},\n \"request_timeout\": {\"display_name\": \"Request Timeout\", \"advanced\": True},\n \"show_progress_bar\": {\n \"display_name\": \"Show Progress Bar\",\n \"advanced\": True,\n },\n \"skip_empty\": {\"display_name\": \"Skip Empty\", \"advanced\": True},\n \"tiktoken_model_name\": {\n \"display_name\": \"TikToken Model Name\",\n \"advanced\": True,\n },\n \"tiktoken_enable\": {\"display_name\": \"TikToken Enable\", \"advanced\": True},\n }\n\n def build(\n self,\n openai_api_key: str,\n default_headers: Optional[Dict[str, str]] = None,\n default_query: Optional[NestedDict] = {},\n allowed_special: List[str] = [],\n disallowed_special: List[str] = [\"all\"],\n chunk_size: int = 1000,\n client: Optional[Any] = None,\n deployment: str = \"text-embedding-ada-002\",\n embedding_ctx_length: int = 8191,\n max_retries: int = 6,\n model: str = \"text-embedding-ada-002\",\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n openai_api_type: Optional[str] = None,\n openai_api_version: Optional[str] = None,\n openai_organization: Optional[str] = None,\n openai_proxy: Optional[str] = None,\n request_timeout: Optional[float] = None,\n show_progress_bar: bool = False,\n skip_empty: bool = False,\n tiktoken_enable: bool = True,\n tiktoken_model_name: Optional[str] = None,\n ) -> Embeddings:\n # This is to avoid errors with Vector Stores (e.g Chroma)\n if disallowed_special == [\"all\"]:\n disallowed_special = \"all\" # type: ignore\n\n return OpenAIEmbeddings(\n tiktoken_enabled=tiktoken_enable,\n default_headers=default_headers,\n default_query=default_query,\n allowed_special=set(allowed_special),\n disallowed_special=\"all\",\n chunk_size=chunk_size,\n client=client,\n deployment=deployment,\n embedding_ctx_length=embedding_ctx_length,\n max_retries=max_retries,\n model=model,\n model_kwargs=model_kwargs,\n base_url=openai_api_base,\n api_key=openai_api_key,\n openai_api_type=openai_api_type,\n api_version=openai_api_version,\n organization=openai_organization,\n openai_proxy=openai_proxy,\n timeout=request_timeout,\n show_progress_bar=show_progress_bar,\n skip_empty=skip_empty,\n tiktoken_model_name=tiktoken_model_name,\n )\n",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "code",
+ "advanced": true,
+ "dynamic": true,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "default_headers": {
+ "type": "dict",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "default_headers",
+ "display_name": "Default Headers",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "default_query": {
+ "type": "NestedDict",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": {},
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "default_query",
+ "display_name": "Default Query",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "deployment": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": "text-embedding-ada-002",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "deployment",
+ "display_name": "Deployment",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "disallowed_special": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": ["all"],
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "disallowed_special",
+ "display_name": "Disallowed Special",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "embedding_ctx_length": {
+ "type": "int",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": 8191,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "embedding_ctx_length",
+ "display_name": "Embedding Context Length",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "max_retries": {
+ "type": "int",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": 6,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "max_retries",
+ "display_name": "Max Retries",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "model": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": true,
+ "show": true,
+ "multiline": false,
+ "value": "text-embedding-ada-002",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "options": [
+ "text-embedding-3-small",
+ "text-embedding-3-large",
+ "text-embedding-ada-002"
+ ],
+ "name": "model",
+ "display_name": "Model",
+ "advanced": false,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "model_kwargs": {
+ "type": "NestedDict",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": {},
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "model_kwargs",
+ "display_name": "Model Kwargs",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "openai_api_base": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": true,
+ "name": "openai_api_base",
+ "display_name": "OpenAI API Base",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "openai_api_key": {
+ "type": "str",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": true,
+ "name": "openai_api_key",
+ "display_name": "OpenAI API Key",
+ "advanced": false,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"],
+ "value": ""
+ },
+ "openai_api_type": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": true,
+ "name": "openai_api_type",
+ "display_name": "OpenAI API Type",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "openai_api_version": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "openai_api_version",
+ "display_name": "OpenAI API Version",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "openai_organization": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "openai_organization",
+ "display_name": "OpenAI Organization",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "openai_proxy": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "openai_proxy",
+ "display_name": "OpenAI Proxy",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "request_timeout": {
+ "type": "float",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "request_timeout",
+ "display_name": "Request Timeout",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "rangeSpec": {
+ "step_type": "float",
+ "min": -1,
+ "max": 1,
+ "step": 0.1
+ },
+ "load_from_db": false,
+ "title_case": false
+ },
+ "show_progress_bar": {
+ "type": "bool",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "show_progress_bar",
+ "display_name": "Show Progress Bar",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "skip_empty": {
+ "type": "bool",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "skip_empty",
+ "display_name": "Skip Empty",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "tiktoken_enable": {
+ "type": "bool",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": true,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "tiktoken_enable",
+ "display_name": "TikToken Enable",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "tiktoken_model_name": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "tiktoken_model_name",
+ "display_name": "TikToken Model Name",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "_type": "CustomComponent"
+ },
+ "description": "Generate embeddings using OpenAI models.",
+ "base_classes": ["Embeddings"],
+ "display_name": "OpenAI Embeddings",
+ "documentation": "",
+ "custom_fields": {
+ "openai_api_key": null,
+ "default_headers": null,
+ "default_query": null,
+ "allowed_special": null,
+ "disallowed_special": null,
+ "chunk_size": null,
+ "client": null,
+ "deployment": null,
+ "embedding_ctx_length": null,
+ "max_retries": null,
+ "model": null,
+ "model_kwargs": null,
+ "openai_api_base": null,
+ "openai_api_type": null,
+ "openai_api_version": null,
+ "openai_organization": null,
+ "openai_proxy": null,
+ "request_timeout": null,
+ "show_progress_bar": null,
+ "skip_empty": null,
+ "tiktoken_enable": null,
+ "tiktoken_model_name": null
+ },
+ "output_types": ["Embeddings"],
+ "field_formatters": {},
+ "frozen": false,
+ "field_order": [],
+ "beta": false
+ },
+ "id": "OpenAIEmbeddings-9TPjc"
+ },
+ "selected": false,
+ "width": 384,
+ "height": 383,
+ "positionAbsolute": {
+ "x": 2814.0402191223047,
+ "y": 1955.9268168273086
+ },
+ "dragging": false
+ }
+ ],
+ "edges": [
+ {
+ "source": "TextOutput-BDknO",
+ "target": "Prompt-xeI6K",
+ "sourceHandle": "{\u0153baseClasses\u0153:[\u0153object\u0153,\u0153Text\u0153,\u0153str\u0153],\u0153dataType\u0153:\u0153TextOutput\u0153,\u0153id\u0153:\u0153TextOutput-BDknO\u0153}",
+ "targetHandle": "{\u0153fieldName\u0153:\u0153context\u0153,\u0153id\u0153:\u0153Prompt-xeI6K\u0153,\u0153inputTypes\u0153:[\u0153Document\u0153,\u0153BaseOutputParser\u0153,\u0153Record\u0153,\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}",
+ "id": "reactflow__edge-TextOutput-BDknO{\u0153baseClasses\u0153:[\u0153object\u0153,\u0153Text\u0153,\u0153str\u0153],\u0153dataType\u0153:\u0153TextOutput\u0153,\u0153id\u0153:\u0153TextOutput-BDknO\u0153}-Prompt-xeI6K{\u0153fieldName\u0153:\u0153context\u0153,\u0153id\u0153:\u0153Prompt-xeI6K\u0153,\u0153inputTypes\u0153:[\u0153Document\u0153,\u0153BaseOutputParser\u0153,\u0153Record\u0153,\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}",
+ "data": {
+ "targetHandle": {
+ "fieldName": "context",
+ "id": "Prompt-xeI6K",
+ "inputTypes": ["Document", "BaseOutputParser", "Record", "Text"],
+ "type": "str"
+ },
+ "sourceHandle": {
+ "baseClasses": ["object", "Text", "str"],
+ "dataType": "TextOutput",
+ "id": "TextOutput-BDknO"
+ }
+ },
+ "style": {
+ "stroke": "#555"
+ },
+ "className": "stroke-gray-900 stroke-connection",
+ "selected": false
+ },
+ {
+ "source": "ChatInput-yxMKE",
+ "target": "Prompt-xeI6K",
+ "sourceHandle": "{\u0153baseClasses\u0153:[\u0153Text\u0153,\u0153str\u0153,\u0153object\u0153,\u0153Record\u0153],\u0153dataType\u0153:\u0153ChatInput\u0153,\u0153id\u0153:\u0153ChatInput-yxMKE\u0153}",
+ "targetHandle": "{\u0153fieldName\u0153:\u0153question\u0153,\u0153id\u0153:\u0153Prompt-xeI6K\u0153,\u0153inputTypes\u0153:[\u0153Document\u0153,\u0153BaseOutputParser\u0153,\u0153Record\u0153,\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}",
+ "id": "reactflow__edge-ChatInput-yxMKE{\u0153baseClasses\u0153:[\u0153Text\u0153,\u0153str\u0153,\u0153object\u0153,\u0153Record\u0153],\u0153dataType\u0153:\u0153ChatInput\u0153,\u0153id\u0153:\u0153ChatInput-yxMKE\u0153}-Prompt-xeI6K{\u0153fieldName\u0153:\u0153question\u0153,\u0153id\u0153:\u0153Prompt-xeI6K\u0153,\u0153inputTypes\u0153:[\u0153Document\u0153,\u0153BaseOutputParser\u0153,\u0153Record\u0153,\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}",
+ "data": {
+ "targetHandle": {
+ "fieldName": "question",
+ "id": "Prompt-xeI6K",
+ "inputTypes": ["Document", "BaseOutputParser", "Record", "Text"],
+ "type": "str"
+ },
+ "sourceHandle": {
+ "baseClasses": ["Text", "str", "object", "Record"],
+ "dataType": "ChatInput",
+ "id": "ChatInput-yxMKE"
+ }
+ },
+ "style": {
+ "stroke": "#555"
+ },
+ "className": "stroke-gray-900 stroke-connection",
+ "selected": false
+ },
+ {
+ "source": "Prompt-xeI6K",
+ "target": "OpenAIModel-EjXlN",
+ "sourceHandle": "{\u0153baseClasses\u0153:[\u0153object\u0153,\u0153Text\u0153,\u0153str\u0153],\u0153dataType\u0153:\u0153Prompt\u0153,\u0153id\u0153:\u0153Prompt-xeI6K\u0153}",
+ "targetHandle": "{\u0153fieldName\u0153:\u0153input_value\u0153,\u0153id\u0153:\u0153OpenAIModel-EjXlN\u0153,\u0153inputTypes\u0153:[\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}",
+ "id": "reactflow__edge-Prompt-xeI6K{\u0153baseClasses\u0153:[\u0153object\u0153,\u0153Text\u0153,\u0153str\u0153],\u0153dataType\u0153:\u0153Prompt\u0153,\u0153id\u0153:\u0153Prompt-xeI6K\u0153}-OpenAIModel-EjXlN{\u0153fieldName\u0153:\u0153input_value\u0153,\u0153id\u0153:\u0153OpenAIModel-EjXlN\u0153,\u0153inputTypes\u0153:[\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}",
+ "data": {
+ "targetHandle": {
+ "fieldName": "input_value",
+ "id": "OpenAIModel-EjXlN",
+ "inputTypes": ["Text"],
+ "type": "str"
+ },
+ "sourceHandle": {
+ "baseClasses": ["object", "Text", "str"],
+ "dataType": "Prompt",
+ "id": "Prompt-xeI6K"
+ }
+ },
+ "style": {
+ "stroke": "#555"
+ },
+ "className": "stroke-gray-900 stroke-connection",
+ "selected": false
+ },
+ {
+ "source": "OpenAIModel-EjXlN",
+ "target": "ChatOutput-Q39I8",
+ "sourceHandle": "{\u0153baseClasses\u0153:[\u0153object\u0153,\u0153Text\u0153,\u0153str\u0153],\u0153dataType\u0153:\u0153OpenAIModel\u0153,\u0153id\u0153:\u0153OpenAIModel-EjXlN\u0153}",
+ "targetHandle": "{\u0153fieldName\u0153:\u0153input_value\u0153,\u0153id\u0153:\u0153ChatOutput-Q39I8\u0153,\u0153inputTypes\u0153:[\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}",
+ "id": "reactflow__edge-OpenAIModel-EjXlN{\u0153baseClasses\u0153:[\u0153object\u0153,\u0153Text\u0153,\u0153str\u0153],\u0153dataType\u0153:\u0153OpenAIModel\u0153,\u0153id\u0153:\u0153OpenAIModel-EjXlN\u0153}-ChatOutput-Q39I8{\u0153fieldName\u0153:\u0153input_value\u0153,\u0153id\u0153:\u0153ChatOutput-Q39I8\u0153,\u0153inputTypes\u0153:[\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}",
+ "data": {
+ "targetHandle": {
+ "fieldName": "input_value",
+ "id": "ChatOutput-Q39I8",
+ "inputTypes": ["Text"],
+ "type": "str"
+ },
+ "sourceHandle": {
+ "baseClasses": ["object", "Text", "str"],
+ "dataType": "OpenAIModel",
+ "id": "OpenAIModel-EjXlN"
+ }
+ },
+ "style": {
+ "stroke": "#555"
+ },
+ "className": "stroke-gray-900 stroke-connection",
+ "selected": false
+ },
+ {
+ "source": "File-t0a6a",
+ "target": "RecursiveCharacterTextSplitter-tR9QM",
+ "sourceHandle": "{\u0153baseClasses\u0153:[\u0153Record\u0153],\u0153dataType\u0153:\u0153File\u0153,\u0153id\u0153:\u0153File-t0a6a\u0153}",
+ "targetHandle": "{\u0153fieldName\u0153:\u0153inputs\u0153,\u0153id\u0153:\u0153RecursiveCharacterTextSplitter-tR9QM\u0153,\u0153inputTypes\u0153:[\u0153Document\u0153,\u0153Record\u0153],\u0153type\u0153:\u0153Document\u0153}",
+ "id": "reactflow__edge-File-t0a6a{\u0153baseClasses\u0153:[\u0153Record\u0153],\u0153dataType\u0153:\u0153File\u0153,\u0153id\u0153:\u0153File-t0a6a\u0153}-RecursiveCharacterTextSplitter-tR9QM{\u0153fieldName\u0153:\u0153inputs\u0153,\u0153id\u0153:\u0153RecursiveCharacterTextSplitter-tR9QM\u0153,\u0153inputTypes\u0153:[\u0153Document\u0153,\u0153Record\u0153],\u0153type\u0153:\u0153Document\u0153}",
+ "data": {
+ "targetHandle": {
+ "fieldName": "inputs",
+ "id": "RecursiveCharacterTextSplitter-tR9QM",
+ "inputTypes": ["Document", "Record"],
+ "type": "Document"
+ },
+ "sourceHandle": {
+ "baseClasses": ["Record"],
+ "dataType": "File",
+ "id": "File-t0a6a"
+ }
+ },
+ "style": {
+ "stroke": "#555"
+ },
+ "className": "stroke-gray-900 stroke-connection",
+ "selected": false
+ },
+ {
+ "source": "OpenAIEmbeddings-ZlOk1",
+ "sourceHandle": "{\u0153baseClasses\u0153:[\u0153Embeddings\u0153],\u0153dataType\u0153:\u0153OpenAIEmbeddings\u0153,\u0153id\u0153:\u0153OpenAIEmbeddings-ZlOk1\u0153}",
+ "target": "AstraDBSearch-41nRz",
+ "targetHandle": "{\u0153fieldName\u0153:\u0153embedding\u0153,\u0153id\u0153:\u0153AstraDBSearch-41nRz\u0153,\u0153inputTypes\u0153:null,\u0153type\u0153:\u0153Embeddings\u0153}",
+ "data": {
+ "targetHandle": {
+ "fieldName": "embedding",
+ "id": "AstraDBSearch-41nRz",
+ "inputTypes": null,
+ "type": "Embeddings"
+ },
+ "sourceHandle": {
+ "baseClasses": ["Embeddings"],
+ "dataType": "OpenAIEmbeddings",
+ "id": "OpenAIEmbeddings-ZlOk1"
+ }
+ },
+ "style": {
+ "stroke": "#555"
+ },
+ "className": "stroke-gray-900 stroke-connection",
+ "id": "reactflow__edge-OpenAIEmbeddings-ZlOk1{\u0153baseClasses\u0153:[\u0153Embeddings\u0153],\u0153dataType\u0153:\u0153OpenAIEmbeddings\u0153,\u0153id\u0153:\u0153OpenAIEmbeddings-ZlOk1\u0153}-AstraDBSearch-41nRz{\u0153fieldName\u0153:\u0153embedding\u0153,\u0153id\u0153:\u0153AstraDBSearch-41nRz\u0153,\u0153inputTypes\u0153:null,\u0153type\u0153:\u0153Embeddings\u0153}"
+ },
+ {
+ "source": "ChatInput-yxMKE",
+ "sourceHandle": "{\u0153baseClasses\u0153:[\u0153Text\u0153,\u0153str\u0153,\u0153object\u0153,\u0153Record\u0153],\u0153dataType\u0153:\u0153ChatInput\u0153,\u0153id\u0153:\u0153ChatInput-yxMKE\u0153}",
+ "target": "AstraDBSearch-41nRz",
+ "targetHandle": "{\u0153fieldName\u0153:\u0153input_value\u0153,\u0153id\u0153:\u0153AstraDBSearch-41nRz\u0153,\u0153inputTypes\u0153:[\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}",
+ "data": {
+ "targetHandle": {
+ "fieldName": "input_value",
+ "id": "AstraDBSearch-41nRz",
+ "inputTypes": ["Text"],
+ "type": "str"
+ },
+ "sourceHandle": {
+ "baseClasses": ["Text", "str", "object", "Record"],
+ "dataType": "ChatInput",
+ "id": "ChatInput-yxMKE"
+ }
+ },
+ "style": {
+ "stroke": "#555"
+ },
+ "className": "stroke-gray-900 stroke-connection",
+ "id": "reactflow__edge-ChatInput-yxMKE{\u0153baseClasses\u0153:[\u0153Text\u0153,\u0153str\u0153,\u0153object\u0153,\u0153Record\u0153],\u0153dataType\u0153:\u0153ChatInput\u0153,\u0153id\u0153:\u0153ChatInput-yxMKE\u0153}-AstraDBSearch-41nRz{\u0153fieldName\u0153:\u0153input_value\u0153,\u0153id\u0153:\u0153AstraDBSearch-41nRz\u0153,\u0153inputTypes\u0153:[\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}"
+ },
+ {
+ "source": "RecursiveCharacterTextSplitter-tR9QM",
+ "sourceHandle": "{\u0153baseClasses\u0153:[\u0153Record\u0153],\u0153dataType\u0153:\u0153RecursiveCharacterTextSplitter\u0153,\u0153id\u0153:\u0153RecursiveCharacterTextSplitter-tR9QM\u0153}",
+ "target": "AstraDB-eUCSS",
+ "targetHandle": "{\u0153fieldName\u0153:\u0153inputs\u0153,\u0153id\u0153:\u0153AstraDB-eUCSS\u0153,\u0153inputTypes\u0153:null,\u0153type\u0153:\u0153Record\u0153}",
+ "data": {
+ "targetHandle": {
+ "fieldName": "inputs",
+ "id": "AstraDB-eUCSS",
+ "inputTypes": null,
+ "type": "Record"
+ },
+ "sourceHandle": {
+ "baseClasses": ["Record"],
+ "dataType": "RecursiveCharacterTextSplitter",
+ "id": "RecursiveCharacterTextSplitter-tR9QM"
+ }
+ },
+ "style": {
+ "stroke": "#555"
+ },
+ "className": "stroke-gray-900 stroke-connection",
+ "id": "reactflow__edge-RecursiveCharacterTextSplitter-tR9QM{\u0153baseClasses\u0153:[\u0153Record\u0153],\u0153dataType\u0153:\u0153RecursiveCharacterTextSplitter\u0153,\u0153id\u0153:\u0153RecursiveCharacterTextSplitter-tR9QM\u0153}-AstraDB-eUCSS{\u0153fieldName\u0153:\u0153inputs\u0153,\u0153id\u0153:\u0153AstraDB-eUCSS\u0153,\u0153inputTypes\u0153:null,\u0153type\u0153:\u0153Record\u0153}",
+ "selected": false
+ },
+ {
+ "source": "OpenAIEmbeddings-9TPjc",
+ "sourceHandle": "{\u0153baseClasses\u0153:[\u0153Embeddings\u0153],\u0153dataType\u0153:\u0153OpenAIEmbeddings\u0153,\u0153id\u0153:\u0153OpenAIEmbeddings-9TPjc\u0153}",
+ "target": "AstraDB-eUCSS",
+ "targetHandle": "{\u0153fieldName\u0153:\u0153embedding\u0153,\u0153id\u0153:\u0153AstraDB-eUCSS\u0153,\u0153inputTypes\u0153:null,\u0153type\u0153:\u0153Embeddings\u0153}",
+ "data": {
+ "targetHandle": {
+ "fieldName": "embedding",
+ "id": "AstraDB-eUCSS",
+ "inputTypes": null,
+ "type": "Embeddings"
+ },
+ "sourceHandle": {
+ "baseClasses": ["Embeddings"],
+ "dataType": "OpenAIEmbeddings",
+ "id": "OpenAIEmbeddings-9TPjc"
+ }
+ },
+ "style": {
+ "stroke": "#555"
+ },
+ "className": "stroke-gray-900 stroke-connection",
+ "id": "reactflow__edge-OpenAIEmbeddings-9TPjc{\u0153baseClasses\u0153:[\u0153Embeddings\u0153],\u0153dataType\u0153:\u0153OpenAIEmbeddings\u0153,\u0153id\u0153:\u0153OpenAIEmbeddings-9TPjc\u0153}-AstraDB-eUCSS{\u0153fieldName\u0153:\u0153embedding\u0153,\u0153id\u0153:\u0153AstraDB-eUCSS\u0153,\u0153inputTypes\u0153:null,\u0153type\u0153:\u0153Embeddings\u0153}",
+ "selected": false
+ },
+ {
+ "source": "AstraDBSearch-41nRz",
+ "sourceHandle": "{\u0153baseClasses\u0153:[\u0153Record\u0153],\u0153dataType\u0153:\u0153AstraDBSearch\u0153,\u0153id\u0153:\u0153AstraDBSearch-41nRz\u0153}",
+ "target": "TextOutput-BDknO",
+ "targetHandle": "{\u0153fieldName\u0153:\u0153input_value\u0153,\u0153id\u0153:\u0153TextOutput-BDknO\u0153,\u0153inputTypes\u0153:[\u0153Record\u0153,\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}",
+ "data": {
+ "targetHandle": {
+ "fieldName": "input_value",
+ "id": "TextOutput-BDknO",
+ "inputTypes": ["Record", "Text"],
+ "type": "str"
+ },
+ "sourceHandle": {
+ "baseClasses": ["Record"],
+ "dataType": "AstraDBSearch",
+ "id": "AstraDBSearch-41nRz"
+ }
+ },
+ "style": {
+ "stroke": "#555"
+ },
+ "className": "stroke-gray-900 stroke-connection",
+ "id": "reactflow__edge-AstraDBSearch-41nRz{\u0153baseClasses\u0153:[\u0153Record\u0153],\u0153dataType\u0153:\u0153AstraDBSearch\u0153,\u0153id\u0153:\u0153AstraDBSearch-41nRz\u0153}-TextOutput-BDknO{\u0153fieldName\u0153:\u0153input_value\u0153,\u0153id\u0153:\u0153TextOutput-BDknO\u0153,\u0153inputTypes\u0153:[\u0153Record\u0153,\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}"
+ }
+ ],
+ "viewport": {
+ "x": -259.6782520315529,
+ "y": 90.3428735006047,
+ "zoom": 0.2687057134854984
+ }
+ },
+ "description": "Visit https://pre-release.langflow.org/tutorials/rag-with-astradb for a detailed guide of this project.\nThis project give you both Ingestion and RAG in a single file. You'll need to visit https://astra.datastax.com/ to create an Astra DB instance, your Token and grab an API Endpoint.\nRunning this project requires you to add a file in the Files component, then define a Collection Name and click on the Play icon on the Astra DB component. \n\nAfter the ingestion ends you are ready to click on the Run button at the lower left corner and start asking questions about your data.",
+ "name": "Vector Store RAG",
+ "last_tested_version": "1.0.0a0",
+ "is_component": false
}
diff --git a/docs/static/img/langflow_basic_howto.gif b/docs/static/img/langflow_basic_howto.gif
new file mode 100644
index 000000000..023a294e0
Binary files /dev/null and b/docs/static/img/langflow_basic_howto.gif differ
diff --git a/docs/static/img/notion/AddContentToPage_flow_example.png b/docs/static/img/notion/AddContentToPage_flow_example.png
new file mode 100644
index 000000000..31aadb080
Binary files /dev/null and b/docs/static/img/notion/AddContentToPage_flow_example.png differ
diff --git a/docs/static/img/notion/AddContentToPage_flow_example_dark.png b/docs/static/img/notion/AddContentToPage_flow_example_dark.png
new file mode 100644
index 000000000..0d8809209
Binary files /dev/null and b/docs/static/img/notion/AddContentToPage_flow_example_dark.png differ
diff --git a/docs/static/img/notion/NotionDatabaseProperties_flow_example.png b/docs/static/img/notion/NotionDatabaseProperties_flow_example.png
new file mode 100644
index 000000000..6ec3d7ac1
Binary files /dev/null and b/docs/static/img/notion/NotionDatabaseProperties_flow_example.png differ
diff --git a/docs/static/img/notion/NotionDatabaseProperties_flow_example_dark.png b/docs/static/img/notion/NotionDatabaseProperties_flow_example_dark.png
new file mode 100644
index 000000000..4d3a5a2c9
Binary files /dev/null and b/docs/static/img/notion/NotionDatabaseProperties_flow_example_dark.png differ
diff --git a/docs/static/img/notion/NotionListPages_flow_example.png b/docs/static/img/notion/NotionListPages_flow_example.png
new file mode 100644
index 000000000..c04e3d857
Binary files /dev/null and b/docs/static/img/notion/NotionListPages_flow_example.png differ
diff --git a/docs/static/img/notion/NotionListPages_flow_example_dark.png b/docs/static/img/notion/NotionListPages_flow_example_dark.png
new file mode 100644
index 000000000..ee041bde7
Binary files /dev/null and b/docs/static/img/notion/NotionListPages_flow_example_dark.png differ
diff --git a/docs/static/img/notion/NotionPageContent_flow_example.png b/docs/static/img/notion/NotionPageContent_flow_example.png
new file mode 100644
index 000000000..5d89af125
Binary files /dev/null and b/docs/static/img/notion/NotionPageContent_flow_example.png differ
diff --git a/docs/static/img/notion/NotionPageContent_flow_example_dark.png b/docs/static/img/notion/NotionPageContent_flow_example_dark.png
new file mode 100644
index 000000000..144c1e0ed
Binary files /dev/null and b/docs/static/img/notion/NotionPageContent_flow_example_dark.png differ
diff --git a/docs/static/img/notion/NotionPageCreator_flow_example.png b/docs/static/img/notion/NotionPageCreator_flow_example.png
new file mode 100644
index 000000000..1cc14788a
Binary files /dev/null and b/docs/static/img/notion/NotionPageCreator_flow_example.png differ
diff --git a/docs/static/img/notion/NotionPageCreator_flow_example_dark.png b/docs/static/img/notion/NotionPageCreator_flow_example_dark.png
new file mode 100644
index 000000000..97788dbc0
Binary files /dev/null and b/docs/static/img/notion/NotionPageCreator_flow_example_dark.png differ
diff --git a/docs/static/img/notion/NotionPageUpdate_flow_example.png b/docs/static/img/notion/NotionPageUpdate_flow_example.png
new file mode 100644
index 000000000..dd02f9bba
Binary files /dev/null and b/docs/static/img/notion/NotionPageUpdate_flow_example.png differ
diff --git a/docs/static/img/notion/NotionPageUpdate_flow_example_dark.png b/docs/static/img/notion/NotionPageUpdate_flow_example_dark.png
new file mode 100644
index 000000000..bc37ff236
Binary files /dev/null and b/docs/static/img/notion/NotionPageUpdate_flow_example_dark.png differ
diff --git a/docs/static/img/notion/NotionSearch_flow_example.png b/docs/static/img/notion/NotionSearch_flow_example.png
new file mode 100644
index 000000000..95e6c72a7
Binary files /dev/null and b/docs/static/img/notion/NotionSearch_flow_example.png differ
diff --git a/docs/static/img/notion/NotionSearch_flow_example_dark.png b/docs/static/img/notion/NotionSearch_flow_example_dark.png
new file mode 100644
index 000000000..924aff55b
Binary files /dev/null and b/docs/static/img/notion/NotionSearch_flow_example_dark.png differ
diff --git a/docs/static/img/notion/NotionUserList_flow_example.png b/docs/static/img/notion/NotionUserList_flow_example.png
new file mode 100644
index 000000000..e0fbd8579
Binary files /dev/null and b/docs/static/img/notion/NotionUserList_flow_example.png differ
diff --git a/docs/static/img/notion/NotionUserList_flow_example_dark.png b/docs/static/img/notion/NotionUserList_flow_example_dark.png
new file mode 100644
index 000000000..d59e7d9a8
Binary files /dev/null and b/docs/static/img/notion/NotionUserList_flow_example_dark.png differ
diff --git a/docs/static/img/notion/notion_bundle.jpg b/docs/static/img/notion/notion_bundle.jpg
new file mode 100644
index 000000000..b6dc62da7
Binary files /dev/null and b/docs/static/img/notion/notion_bundle.jpg differ
diff --git a/docs/static/img/notion/notion_components_bundle.png b/docs/static/img/notion/notion_components_bundle.png
new file mode 100644
index 000000000..f924ed14a
Binary files /dev/null and b/docs/static/img/notion/notion_components_bundle.png differ
diff --git a/docs/static/img/notion/notion_components_bundle_dark.png b/docs/static/img/notion/notion_components_bundle_dark.png
new file mode 100644
index 000000000..048646bdb
Binary files /dev/null and b/docs/static/img/notion/notion_components_bundle_dark.png differ
diff --git a/docs/static/json_files/Notion_Components_bundle.json b/docs/static/json_files/Notion_Components_bundle.json
new file mode 100644
index 000000000..5e632ad9c
--- /dev/null
+++ b/docs/static/json_files/Notion_Components_bundle.json
@@ -0,0 +1,881 @@
+{
+ "id": "7cd51434-9767-450f-8742-27857367f8c2",
+ "data": {
+ "nodes": [
+ {
+ "id": "RecordsToText-Q69g5",
+ "type": "genericNode",
+ "position": { "x": -2671.5528488127866, "y": -963.4266471378126 },
+ "data": {
+ "type": "RecordsToText",
+ "node": {
+ "template": {
+ "code": {
+ "type": "code",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "import requests\r\nfrom typing import List\r\n\r\nfrom langflow import CustomComponent\r\nfrom langflow.schema import Record\r\n\r\n\r\nclass NotionUserList(CustomComponent):\r\n display_name = \"List Users [Notion]\"\r\n description = \"Retrieve users from Notion.\"\r\n documentation: str = \"https://docs.langflow.org/integrations/notion/list-users\"\r\n icon = \"NotionDirectoryLoader\"\r\n \r\n def build_config(self):\r\n return {\r\n \"notion_secret\": {\r\n \"display_name\": \"Notion Secret\",\r\n \"field_type\": \"str\",\r\n \"info\": \"The Notion integration token.\",\r\n \"password\": True,\r\n },\r\n }\r\n\r\n def build(\r\n self,\r\n notion_secret: str,\r\n ) -> List[Record]:\r\n url = \"https://api.notion.com/v1/users\"\r\n headers = {\r\n \"Authorization\": f\"Bearer {notion_secret}\",\r\n \"Notion-Version\": \"2022-06-28\",\r\n }\r\n\r\n response = requests.get(url, headers=headers)\r\n response.raise_for_status()\r\n\r\n data = response.json()\r\n results = data['results']\r\n\r\n records = []\r\n for user in results:\r\n id = user['id']\r\n type = user['type']\r\n name = user.get('name', '')\r\n avatar_url = user.get('avatar_url', '')\r\n\r\n record_data = {\r\n \"id\": id,\r\n \"type\": type,\r\n \"name\": name,\r\n \"avatar_url\": avatar_url,\r\n }\r\n\r\n output = \"User:\\n\"\r\n for key, value in record_data.items():\r\n output += f\"{key.replace('_', ' ').title()}: {value}\\n\"\r\n output += \"________________________\\n\"\r\n\r\n record = Record(text=output, data=record_data)\r\n records.append(record)\r\n\r\n self.status = \"\\n\".join(record.text for record in records)\r\n return records",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "code",
+ "advanced": true,
+ "dynamic": true,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "notion_secret": {
+ "type": "str",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": true,
+ "name": "notion_secret",
+ "display_name": "Notion Secret",
+ "advanced": false,
+ "dynamic": false,
+ "info": "The Notion integration token.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"],
+ "value": ""
+ },
+ "_type": "CustomComponent"
+ },
+ "description": "Retrieve users from Notion.",
+ "icon": "NotionDirectoryLoader",
+ "base_classes": ["Record"],
+ "display_name": "List Users [Notion] ",
+ "documentation": "https://docs.langflow.org/integrations/notion/list-users",
+ "custom_fields": { "notion_secret": null },
+ "output_types": ["Record"],
+ "field_formatters": {},
+ "frozen": false,
+ "field_order": [],
+ "beta": false
+ },
+ "id": "RecordsToText-Q69g5",
+ "description": "Retrieve users from Notion.",
+ "display_name": "List Users [Notion] "
+ },
+ "selected": false,
+ "width": 384,
+ "height": 289,
+ "dragging": false,
+ "positionAbsolute": {
+ "x": -2671.5528488127866,
+ "y": -963.4266471378126
+ }
+ },
+ {
+ "id": "CustomComponent-PU0K5",
+ "type": "genericNode",
+ "position": { "x": -3077.2269116193215, "y": -960.9450220159636 },
+ "data": {
+ "type": "CustomComponent",
+ "node": {
+ "template": {
+ "code": {
+ "type": "code",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "import json\r\nfrom typing import Optional\r\n\r\nimport requests\r\nfrom langflow.custom import CustomComponent\r\n\r\n\r\nclass NotionPageCreator(CustomComponent):\r\n display_name = \"Create Page [Notion]\"\r\n description = \"A component for creating Notion pages.\"\r\n documentation: str = \"https://docs.langflow.org/integrations/notion/page-create\"\r\n icon = \"NotionDirectoryLoader\"\r\n\r\n def build_config(self):\r\n return {\r\n \"database_id\": {\r\n \"display_name\": \"Database ID\",\r\n \"field_type\": \"str\",\r\n \"info\": \"The ID of the Notion database.\",\r\n },\r\n \"notion_secret\": {\r\n \"display_name\": \"Notion Secret\",\r\n \"field_type\": \"str\",\r\n \"info\": \"The Notion integration token.\",\r\n \"password\": True,\r\n },\r\n \"properties\": {\r\n \"display_name\": \"Properties\",\r\n \"field_type\": \"str\",\r\n \"info\": \"The properties of the new page. Depending on your database setup, this can change. E.G: {'Task name': {'id': 'title', 'type': 'title', 'title': [{'type': 'text', 'text': {'content': 'Send Notion Components to LF', 'link': null}}]}}\",\r\n },\r\n }\r\n\r\n def build(\r\n self,\r\n database_id: str,\r\n notion_secret: str,\r\n properties: str = '{\"Task name\": {\"id\": \"title\", \"type\": \"title\", \"title\": [{\"type\": \"text\", \"text\": {\"content\": \"Send Notion Components to LF\", \"link\": null}}]}}',\r\n ) -> str:\r\n if not database_id or not properties:\r\n raise ValueError(\"Invalid input. Please provide 'database_id' and 'properties'.\")\r\n\r\n headers = {\r\n \"Authorization\": f\"Bearer {notion_secret}\",\r\n \"Content-Type\": \"application/json\",\r\n \"Notion-Version\": \"2022-06-28\",\r\n }\r\n\r\n data = {\r\n \"parent\": {\"database_id\": database_id},\r\n \"properties\": json.loads(properties),\r\n }\r\n\r\n response = requests.post(\"https://api.notion.com/v1/pages\", headers=headers, json=data)\r\n\r\n if response.status_code == 200:\r\n page_id = response.json()[\"id\"]\r\n self.status = f\"Successfully created Notion page with ID: {page_id}\\n {str(response.json())}\"\r\n return response.json()\r\n else:\r\n error_message = f\"Failed to create Notion page. Status code: {response.status_code}, Error: {response.text}\"\r\n self.status = error_message\r\n raise Exception(error_message)",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "code",
+ "advanced": true,
+ "dynamic": true,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "database_id": {
+ "type": "str",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "database_id",
+ "display_name": "Database ID",
+ "advanced": false,
+ "dynamic": false,
+ "info": "The ID of the Notion database.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "notion_secret": {
+ "type": "str",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": true,
+ "name": "notion_secret",
+ "display_name": "Notion Secret",
+ "advanced": false,
+ "dynamic": false,
+ "info": "The Notion integration token.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"],
+ "value": ""
+ },
+ "properties": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": "{\"Task name\": {\"id\": \"title\", \"type\": \"title\", \"title\": [{\"type\": \"text\", \"text\": {\"content\": \"Send Notion Components to LF\", \"link\": null}}]}}",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "properties",
+ "display_name": "Properties",
+ "advanced": false,
+ "dynamic": false,
+ "info": "The properties of the new page. Depending on your database setup, this can change. E.G: {'Task name': {'id': 'title', 'type': 'title', 'title': [{'type': 'text', 'text': {'content': 'Send Notion Components to LF', 'link': null}}]}}",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "_type": "CustomComponent"
+ },
+ "description": "A component for creating Notion pages.",
+ "icon": "NotionDirectoryLoader",
+ "base_classes": ["object", "str", "Text"],
+ "display_name": "Create Page [Notion] ",
+ "documentation": "https://docs.langflow.org/integrations/notion/page-create",
+ "custom_fields": {
+ "database_id": null,
+ "notion_secret": null,
+ "properties": null
+ },
+ "output_types": ["Text"],
+ "field_formatters": {},
+ "frozen": false,
+ "field_order": [],
+ "beta": false
+ },
+ "id": "CustomComponent-PU0K5",
+ "description": "A component for creating Notion pages.",
+ "display_name": "Create Page [Notion] "
+ },
+ "selected": false,
+ "width": 384,
+ "height": 477,
+ "positionAbsolute": {
+ "x": -3077.2269116193215,
+ "y": -960.9450220159636
+ },
+ "dragging": false
+ },
+ {
+ "id": "CustomComponent-YODla",
+ "type": "genericNode",
+ "position": { "x": -3485.297183150799, "y": -362.8525892356713 },
+ "data": {
+ "type": "CustomComponent",
+ "node": {
+ "template": {
+ "code": {
+ "type": "code",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "import requests\r\nfrom typing import Dict\r\n\r\nfrom langflow import CustomComponent\r\nfrom langflow.schema import Record\r\n\r\n\r\nclass NotionDatabaseProperties(CustomComponent):\r\n display_name = \"List Database Properties [Notion]\"\r\n description = \"Retrieve properties of a Notion database.\"\r\n documentation: str = \"https://docs.langflow.org/integrations/notion/list-database-properties\"\r\n icon = \"NotionDirectoryLoader\"\r\n \r\n def build_config(self):\r\n return {\r\n \"database_id\": {\r\n \"display_name\": \"Database ID\",\r\n \"field_type\": \"str\",\r\n \"info\": \"The ID of the Notion database.\",\r\n },\r\n \"notion_secret\": {\r\n \"display_name\": \"Notion Secret\",\r\n \"field_type\": \"str\",\r\n \"info\": \"The Notion integration token.\",\r\n \"password\": True,\r\n },\r\n }\r\n\r\n def build(\r\n self,\r\n database_id: str,\r\n notion_secret: str,\r\n ) -> Record:\r\n url = f\"https://api.notion.com/v1/databases/{database_id}\"\r\n headers = {\r\n \"Authorization\": f\"Bearer {notion_secret}\",\r\n \"Notion-Version\": \"2022-06-28\", # Use the latest supported version\r\n }\r\n\r\n response = requests.get(url, headers=headers)\r\n response.raise_for_status()\r\n\r\n data = response.json()\r\n properties = data.get(\"properties\", {})\r\n\r\n record = Record(text=str(response.json()), data=properties)\r\n self.status = f\"Retrieved {len(properties)} properties from the Notion database.\\n {record.text}\"\r\n return record",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "code",
+ "advanced": true,
+ "dynamic": true,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "database_id": {
+ "type": "str",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "database_id",
+ "display_name": "Database ID",
+ "advanced": false,
+ "dynamic": false,
+ "info": "The ID of the Notion database.",
+ "load_from_db": true,
+ "title_case": false,
+ "input_types": ["Text"],
+ "value": "NOTION_NMSTX_DB_ID"
+ },
+ "notion_secret": {
+ "type": "str",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": true,
+ "name": "notion_secret",
+ "display_name": "Notion Secret",
+ "advanced": false,
+ "dynamic": false,
+ "info": "The Notion integration token.",
+ "load_from_db": true,
+ "title_case": false,
+ "input_types": ["Text"],
+ "value": ""
+ },
+ "_type": "CustomComponent"
+ },
+ "description": "Retrieve properties of a Notion database.",
+ "icon": "NotionDirectoryLoader",
+ "base_classes": ["Record"],
+ "display_name": "List Database Properties [Notion] ",
+ "documentation": "https://docs.langflow.org/integrations/notion/list-database-properties",
+ "custom_fields": { "database_id": null, "notion_secret": null },
+ "output_types": ["Record"],
+ "field_formatters": {},
+ "frozen": false,
+ "field_order": [],
+ "beta": false
+ },
+ "id": "CustomComponent-YODla",
+ "description": "Retrieve properties of a Notion database.",
+ "display_name": "List Database Properties [Notion] "
+ },
+ "selected": true,
+ "width": 384,
+ "height": 383,
+ "dragging": false,
+ "positionAbsolute": { "x": -3485.297183150799, "y": -362.8525892356713 }
+ },
+ {
+ "id": "CustomComponent-wHlSz",
+ "type": "genericNode",
+ "position": { "x": -2668.7714642455403, "y": -657.2376228212606 },
+ "data": {
+ "type": "CustomComponent",
+ "node": {
+ "template": {
+ "code": {
+ "type": "code",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "import json\r\nimport requests\r\nfrom typing import Dict, Any\r\n\r\nfrom langflow import CustomComponent\r\nfrom langflow.schema import Record\r\n\r\n\r\nclass NotionPageUpdate(CustomComponent):\r\n display_name = \"Update Page Property [Notion]\"\r\n description = \"Update the properties of a Notion page.\"\r\n documentation: str = \"https://docs.langflow.org/integrations/notion/page-update\"\r\n icon = \"NotionDirectoryLoader\"\r\n\r\n def build_config(self):\r\n return {\r\n \"page_id\": {\r\n \"display_name\": \"Page ID\",\r\n \"field_type\": \"str\",\r\n \"info\": \"The ID of the Notion page to update.\",\r\n },\r\n \"properties\": {\r\n \"display_name\": \"Properties\",\r\n \"field_type\": \"str\",\r\n \"info\": \"The properties to update on the page (as a JSON string).\",\r\n \"multiline\": True,\r\n },\r\n \"notion_secret\": {\r\n \"display_name\": \"Notion Secret\",\r\n \"field_type\": \"str\",\r\n \"info\": \"The Notion integration token.\",\r\n \"password\": True,\r\n },\r\n }\r\n\r\n def build(\r\n self,\r\n page_id: str,\r\n properties: str,\r\n notion_secret: str,\r\n ) -> Record:\r\n url = f\"https://api.notion.com/v1/pages/{page_id}\"\r\n headers = {\r\n \"Authorization\": f\"Bearer {notion_secret}\",\r\n \"Content-Type\": \"application/json\",\r\n \"Notion-Version\": \"2022-06-28\", # Use the latest supported version\r\n }\r\n\r\n try:\r\n parsed_properties = json.loads(properties)\r\n except json.JSONDecodeError as e:\r\n raise ValueError(\"Invalid JSON format for properties\") from e\r\n\r\n data = {\r\n \"properties\": parsed_properties\r\n }\r\n\r\n response = requests.patch(url, headers=headers, json=data)\r\n response.raise_for_status()\r\n\r\n updated_page = response.json()\r\n\r\n output = \"Updated page properties:\\n\"\r\n for prop_name, prop_value in updated_page[\"properties\"].items():\r\n output += f\"{prop_name}: {prop_value}\\n\"\r\n\r\n self.status = output\r\n return Record(data=updated_page)",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "code",
+ "advanced": true,
+ "dynamic": true,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "notion_secret": {
+ "type": "str",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": true,
+ "name": "notion_secret",
+ "display_name": "Notion Secret",
+ "advanced": false,
+ "dynamic": false,
+ "info": "The Notion integration token.",
+ "load_from_db": true,
+ "title_case": false,
+ "input_types": ["Text"],
+ "value": ""
+ },
+ "page_id": {
+ "type": "str",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "page_id",
+ "display_name": "Page ID",
+ "advanced": false,
+ "dynamic": false,
+ "info": "The ID of the Notion page to update.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "properties": {
+ "type": "str",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "properties",
+ "display_name": "Properties",
+ "advanced": false,
+ "dynamic": false,
+ "info": "The properties to update on the page (as a JSON string).",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"],
+ "value": "{ \"title\": [ { \"text\": { \"content\": \"Test Page\" } } ] }"
+ },
+ "_type": "CustomComponent"
+ },
+ "description": "Update the properties of a Notion page.",
+ "icon": "NotionDirectoryLoader",
+ "base_classes": ["Record"],
+ "display_name": "Update Page Property [Notion]",
+ "documentation": "https://docs.langflow.org/integrations/notion/page-update",
+ "custom_fields": {
+ "page_id": null,
+ "properties": null,
+ "notion_secret": null
+ },
+ "output_types": ["Record"],
+ "field_formatters": {},
+ "frozen": false,
+ "field_order": [],
+ "beta": false
+ },
+ "id": "CustomComponent-wHlSz",
+ "description": "Update the properties of a Notion page.",
+ "display_name": "Update Page Property [Notion]"
+ },
+ "selected": false,
+ "width": 384,
+ "height": 477,
+ "dragging": false,
+ "positionAbsolute": {
+ "x": -2668.7714642455403,
+ "y": -657.2376228212606
+ }
+ },
+ {
+ "id": "CustomComponent-oelYw",
+ "type": "genericNode",
+ "position": { "x": -2253.1007124701327, "y": -448.47240118604134 },
+ "data": {
+ "type": "CustomComponent",
+ "node": {
+ "template": {
+ "code": {
+ "type": "code",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "import requests\r\nfrom typing import Dict, Any\r\n\r\nfrom langflow import CustomComponent\r\nfrom langflow.schema import Record\r\n\r\n\r\nclass NotionPageContent(CustomComponent):\r\n display_name = \"Page Content Viewer [Notion]\"\r\n description = \"Retrieve the content of a Notion page as plain text.\"\r\n documentation: str = \"https://docs.langflow.org/integrations/notion/page-content-viewer\"\r\n icon = \"NotionDirectoryLoader\"\r\n\r\n def build_config(self):\r\n return {\r\n \"page_id\": {\r\n \"display_name\": \"Page ID\",\r\n \"field_type\": \"str\",\r\n \"info\": \"The ID of the Notion page to retrieve.\",\r\n },\r\n \"notion_secret\": {\r\n \"display_name\": \"Notion Secret\",\r\n \"field_type\": \"str\",\r\n \"info\": \"The Notion integration token.\",\r\n \"password\": True,\r\n },\r\n }\r\n\r\n def build(\r\n self,\r\n page_id: str,\r\n notion_secret: str,\r\n ) -> Record:\r\n blocks_url = f\"https://api.notion.com/v1/blocks/{page_id}/children?page_size=100\"\r\n headers = {\r\n \"Authorization\": f\"Bearer {notion_secret}\",\r\n \"Notion-Version\": \"2022-06-28\", # Use the latest supported version\r\n }\r\n\r\n # Retrieve the child blocks\r\n blocks_response = requests.get(blocks_url, headers=headers)\r\n blocks_response.raise_for_status()\r\n blocks_data = blocks_response.json()\r\n\r\n # Parse the blocks and extract the content as plain text\r\n content = self.parse_blocks(blocks_data[\"results\"])\r\n\r\n self.status = content\r\n return Record(data={\"content\": content}, text=content)\r\n\r\n def parse_blocks(self, blocks: list) -> str:\r\n content = \"\"\r\n for block in blocks:\r\n block_type = block[\"type\"]\r\n if block_type in [\"paragraph\", \"heading_1\", \"heading_2\", \"heading_3\", \"quote\"]:\r\n content += self.parse_rich_text(block[block_type][\"rich_text\"]) + \"\\n\\n\"\r\n elif block_type in [\"bulleted_list_item\", \"numbered_list_item\"]:\r\n content += self.parse_rich_text(block[block_type][\"rich_text\"]) + \"\\n\"\r\n elif block_type == \"to_do\":\r\n content += self.parse_rich_text(block[\"to_do\"][\"rich_text\"]) + \"\\n\"\r\n elif block_type == \"code\":\r\n content += self.parse_rich_text(block[\"code\"][\"rich_text\"]) + \"\\n\\n\"\r\n elif block_type == \"image\":\r\n content += f\"[Image: {block['image']['external']['url']}]\\n\\n\"\r\n elif block_type == \"divider\":\r\n content += \"---\\n\\n\"\r\n return content.strip()\r\n\r\n def parse_rich_text(self, rich_text: list) -> str:\r\n text = \"\"\r\n for segment in rich_text:\r\n text += segment[\"plain_text\"]\r\n return text",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "code",
+ "advanced": true,
+ "dynamic": true,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "notion_secret": {
+ "type": "str",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": true,
+ "name": "notion_secret",
+ "display_name": "Notion Secret",
+ "advanced": false,
+ "dynamic": false,
+ "info": "The Notion integration token.",
+ "load_from_db": true,
+ "title_case": false,
+ "input_types": ["Text"],
+ "value": ""
+ },
+ "page_id": {
+ "type": "str",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "page_id",
+ "display_name": "Page ID",
+ "advanced": false,
+ "dynamic": false,
+ "info": "The ID of the Notion page to retrieve.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "_type": "CustomComponent"
+ },
+ "description": "Retrieve the content of a Notion page as plain text.",
+ "icon": "NotionDirectoryLoader",
+ "base_classes": ["Record"],
+ "display_name": "Page Content Viewer [Notion] ",
+ "documentation": "https://docs.langflow.org/integrations/notion/page-content-viewer",
+ "custom_fields": { "page_id": null, "notion_secret": null },
+ "output_types": ["Record"],
+ "field_formatters": {},
+ "frozen": false,
+ "field_order": [],
+ "beta": false
+ },
+ "id": "CustomComponent-oelYw",
+ "description": "Retrieve the content of a Notion page as plain text.",
+ "display_name": "Page Content Viewer [Notion] "
+ },
+ "selected": false,
+ "width": 384,
+ "height": 383,
+ "positionAbsolute": {
+ "x": -2253.1007124701327,
+ "y": -448.47240118604134
+ },
+ "dragging": false
+ },
+ {
+ "id": "CustomComponent-Pn52w",
+ "type": "genericNode",
+ "position": { "x": -3070.9222948695096, "y": -472.4537855763852 },
+ "data": {
+ "type": "CustomComponent",
+ "node": {
+ "template": {
+ "code": {
+ "type": "code",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "import requests\r\nimport json\r\nfrom typing import Dict, Any, List\r\nfrom langflow.custom import CustomComponent\r\nfrom langflow.schema import Record\r\n\r\nclass NotionListPages(CustomComponent):\r\n display_name = \"List Pages [Notion]\"\r\n description = (\r\n \"Query a Notion database with filtering and sorting. \"\r\n \"The input should be a JSON string containing the 'filter' and 'sorts' objects. \"\r\n \"Example input:\\n\"\r\n '{\"filter\": {\"property\": \"Status\", \"select\": {\"equals\": \"Done\"}}, \"sorts\": [{\"timestamp\": \"created_time\", \"direction\": \"descending\"}]}'\r\n )\r\n documentation: str = \"https://docs.langflow.org/integrations/notion/list-pages\"\r\n icon = \"NotionDirectoryLoader\"\r\n\r\n field_order = [\r\n \"notion_secret\",\r\n \"database_id\",\r\n \"query_payload\",\r\n ]\r\n\r\n def build_config(self):\r\n return {\r\n \"notion_secret\": {\r\n \"display_name\": \"Notion Secret\",\r\n \"field_type\": \"str\",\r\n \"info\": \"The Notion integration token.\",\r\n \"password\": True,\r\n },\r\n \"database_id\": {\r\n \"display_name\": \"Database ID\",\r\n \"field_type\": \"str\",\r\n \"info\": \"The ID of the Notion database to query.\",\r\n },\r\n \"query_payload\": {\r\n \"display_name\": \"Database query\",\r\n \"field_type\": \"str\",\r\n \"info\": \"A JSON string containing the filters that will be used for querying the database. EG: {'filter': {'property': 'Status', 'status': {'equals': 'In progress'}}}\",\r\n },\r\n }\r\n\r\n def build(\r\n self,\r\n notion_secret: str,\r\n database_id: str,\r\n query_payload: str = \"{}\",\r\n ) -> List[Record]:\r\n try:\r\n query_data = json.loads(query_payload)\r\n filter_obj = query_data.get(\"filter\")\r\n sorts = query_data.get(\"sorts\", [])\r\n\r\n url = f\"https://api.notion.com/v1/databases/{database_id}/query\"\r\n headers = {\r\n \"Authorization\": f\"Bearer {notion_secret}\",\r\n \"Content-Type\": \"application/json\",\r\n \"Notion-Version\": \"2022-06-28\",\r\n }\r\n\r\n data = {\r\n \"sorts\": sorts,\r\n }\r\n\r\n if filter_obj:\r\n data[\"filter\"] = filter_obj\r\n\r\n response = requests.post(url, headers=headers, json=data)\r\n response.raise_for_status()\r\n\r\n results = response.json()\r\n records = []\r\n combined_text = f\"Pages found: {len(results['results'])}\\n\\n\"\r\n for page in results['results']:\r\n page_data = {\r\n 'id': page['id'],\r\n 'url': page['url'],\r\n 'created_time': page['created_time'],\r\n 'last_edited_time': page['last_edited_time'],\r\n 'properties': page['properties'],\r\n }\r\n\r\n text = (\r\n f\"id: {page['id']}\\n\"\r\n f\"url: {page['url']}\\n\"\r\n f\"created_time: {page['created_time']}\\n\"\r\n f\"last_edited_time: {page['last_edited_time']}\\n\"\r\n f\"properties: {json.dumps(page['properties'], indent=2)}\\n\\n\"\r\n )\r\n\r\n combined_text += text\r\n records.append(Record(text=text, data=page_data))\r\n \r\n self.status = combined_text.strip()\r\n return records\r\n\r\n except Exception as e:\r\n self.status = f\"An error occurred: {str(e)}\"\r\n return [Record(text=self.status, data=[])]",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "code",
+ "advanced": true,
+ "dynamic": true,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "database_id": {
+ "type": "str",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "database_id",
+ "display_name": "Database ID",
+ "advanced": false,
+ "dynamic": false,
+ "info": "The ID of the Notion database to query.",
+ "load_from_db": true,
+ "title_case": false,
+ "input_types": ["Text"],
+ "value": "NOTION_NMSTX_DB_ID"
+ },
+ "notion_secret": {
+ "type": "str",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": true,
+ "name": "notion_secret",
+ "display_name": "Notion Secret",
+ "advanced": false,
+ "dynamic": false,
+ "info": "The Notion integration token.",
+ "load_from_db": true,
+ "title_case": false,
+ "input_types": ["Text"],
+ "value": ""
+ },
+ "query_payload": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": {},
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "query_payload",
+ "display_name": "Database query",
+ "advanced": false,
+ "dynamic": false,
+ "info": "A JSON string containing the filters that will be used for querying the database. EG: {'filter': {'property': 'Status', 'status': {'equals': 'In progress'}}}",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "_type": "CustomComponent"
+ },
+ "description": "Query a Notion database with filtering and sorting. The input should be a JSON string containing the 'filter' and 'sorts' objects. Example input:\n{\"filter\": {\"property\": \"Status\", \"select\": {\"equals\": \"Done\"}}, \"sorts\": [{\"timestamp\": \"created_time\", \"direction\": \"descending\"}]}",
+ "icon": "NotionDirectoryLoader",
+ "base_classes": ["Record"],
+ "display_name": "List Pages [Notion] ",
+ "documentation": "https://docs.langflow.org/integrations/notion/list-pages",
+ "custom_fields": {
+ "notion_secret": null,
+ "database_id": null,
+ "query_payload": null
+ },
+ "output_types": ["Record"],
+ "field_formatters": {},
+ "frozen": false,
+ "field_order": ["notion_secret", "database_id", "query_payload"],
+ "beta": false
+ },
+ "id": "CustomComponent-Pn52w",
+ "description": "Query a Notion database with filtering and sorting. The input should be a JSON string containing the 'filter' and 'sorts' objects. Example input:\n{\"filter\": {\"property\": \"Status\", \"select\": {\"equals\": \"Done\"}}, \"sorts\": [{\"timestamp\": \"created_time\", \"direction\": \"descending\"}]}",
+ "display_name": "List Pages [Notion] "
+ },
+ "selected": false,
+ "width": 384,
+ "height": 517,
+ "positionAbsolute": {
+ "x": -3070.9222948695096,
+ "y": -472.4537855763852
+ },
+ "dragging": false
+ },
+ {
+ "id": "CustomComponent-I8Dec",
+ "type": "genericNode",
+ "position": { "x": -2256.686402636563, "y": -963.4541117792749 },
+ "data": {
+ "type": "CustomComponent",
+ "node": {
+ "template": {
+ "block_id": {
+ "type": "str",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "block_id",
+ "display_name": "Page/Block ID",
+ "advanced": false,
+ "dynamic": false,
+ "info": "The ID of the page/block to add the content.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "code": {
+ "type": "code",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "import json\r\nfrom typing import List, Dict, Any\r\nfrom markdown import markdown\r\nfrom bs4 import BeautifulSoup\r\nimport requests\r\n\r\nfrom langflow import CustomComponent\r\nfrom langflow.schema import Record\r\n\r\nclass AddContentToPage(CustomComponent):\r\n display_name = \"Add Content to Page [Notion]\"\r\n description = \"Convert markdown text to Notion blocks and append them to a Notion page.\"\r\n documentation: str = \"https://developers.notion.com/reference/patch-block-children\"\r\n icon = \"NotionDirectoryLoader\"\r\n\r\n def build_config(self):\r\n return {\r\n \"markdown_text\": {\r\n \"display_name\": \"Markdown Text\",\r\n \"field_type\": \"str\",\r\n \"info\": \"The markdown text to convert to Notion blocks.\",\r\n \"multiline\": True,\r\n },\r\n \"block_id\": {\r\n \"display_name\": \"Page/Block ID\",\r\n \"field_type\": \"str\",\r\n \"info\": \"The ID of the page/block to add the content.\",\r\n },\r\n \"notion_secret\": {\r\n \"display_name\": \"Notion Secret\",\r\n \"field_type\": \"str\",\r\n \"info\": \"The Notion integration token.\",\r\n \"password\": True,\r\n },\r\n }\r\n\r\n def build(self, markdown_text: str, block_id: str, notion_secret: str) -> Record:\r\n html_text = markdown(markdown_text)\r\n soup = BeautifulSoup(html_text, 'html.parser')\r\n blocks = self.process_node(soup)\r\n\r\n url = f\"https://api.notion.com/v1/blocks/{block_id}/children\"\r\n headers = {\r\n \"Authorization\": f\"Bearer {notion_secret}\",\r\n \"Content-Type\": \"application/json\",\r\n \"Notion-Version\": \"2022-06-28\",\r\n }\r\n\r\n data = {\r\n \"children\": blocks,\r\n }\r\n\r\n response = requests.patch(url, headers=headers, json=data)\r\n self.status = str(response.json())\r\n response.raise_for_status()\r\n\r\n result = response.json()\r\n self.status = f\"Appended {len(blocks)} blocks to page with ID: {block_id}\"\r\n return Record(data=result, text=json.dumps(result))\r\n\r\n def process_node(self, node):\r\n blocks = []\r\n if isinstance(node, str):\r\n text = node.strip()\r\n if text:\r\n if text.startswith('#'):\r\n heading_level = text.count('#', 0, 6)\r\n heading_text = text[heading_level:].strip()\r\n if heading_level == 1:\r\n blocks.append(self.create_block('heading_1', heading_text))\r\n elif heading_level == 2:\r\n blocks.append(self.create_block('heading_2', heading_text))\r\n elif heading_level == 3:\r\n blocks.append(self.create_block('heading_3', heading_text))\r\n else:\r\n blocks.append(self.create_block('paragraph', text))\r\n elif node.name == 'h1':\r\n blocks.append(self.create_block('heading_1', node.get_text(strip=True)))\r\n elif node.name == 'h2':\r\n blocks.append(self.create_block('heading_2', node.get_text(strip=True)))\r\n elif node.name == 'h3':\r\n blocks.append(self.create_block('heading_3', node.get_text(strip=True)))\r\n elif node.name == 'p':\r\n code_node = node.find('code')\r\n if code_node:\r\n code_text = code_node.get_text()\r\n language, code = self.extract_language_and_code(code_text)\r\n blocks.append(self.create_block('code', code, language=language))\r\n elif self.is_table(str(node)):\r\n blocks.extend(self.process_table(node))\r\n else:\r\n blocks.append(self.create_block('paragraph', node.get_text(strip=True)))\r\n elif node.name == 'ul':\r\n blocks.extend(self.process_list(node, 'bulleted_list_item'))\r\n elif node.name == 'ol':\r\n blocks.extend(self.process_list(node, 'numbered_list_item'))\r\n elif node.name == 'blockquote':\r\n blocks.append(self.create_block('quote', node.get_text(strip=True)))\r\n elif node.name == 'hr':\r\n blocks.append(self.create_block('divider', ''))\r\n elif node.name == 'img':\r\n blocks.append(self.create_block('image', '', image_url=node.get('src')))\r\n elif node.name == 'a':\r\n blocks.append(self.create_block('bookmark', node.get_text(strip=True), link_url=node.get('href')))\r\n elif node.name == 'table':\r\n blocks.extend(self.process_table(node))\r\n\r\n for child in node.children:\r\n if isinstance(child, str):\r\n continue\r\n blocks.extend(self.process_node(child))\r\n\r\n return blocks\r\n\r\n def extract_language_and_code(self, code_text):\r\n lines = code_text.split('\\n')\r\n language = lines[0].strip()\r\n code = '\\n'.join(lines[1:]).strip()\r\n return language, code\r\n\r\n def is_code_block(self, text):\r\n return text.startswith('```')\r\n\r\n def extract_code_block(self, text):\r\n lines = text.split('\\n')\r\n language = lines[0].strip('`').strip()\r\n code = '\\n'.join(lines[1:]).strip('`').strip()\r\n return language, code\r\n \r\n def is_table(self, text):\r\n rows = text.split('\\n')\r\n if len(rows) < 2:\r\n return False\r\n\r\n has_separator = False\r\n for i, row in enumerate(rows):\r\n if '|' in row:\r\n cells = [cell.strip() for cell in row.split('|')]\r\n cells = [cell for cell in cells if cell] # Remove empty cells\r\n if i == 1 and all(set(cell) <= set('-|') for cell in cells):\r\n has_separator = True\r\n elif not cells:\r\n return False\r\n\r\n return has_separator and len(rows) >= 3\r\n\r\n def process_list(self, node, list_type):\r\n blocks = []\r\n for item in node.find_all('li'):\r\n item_text = item.get_text(strip=True)\r\n checked = item_text.startswith('[x]')\r\n is_checklist = item_text.startswith('[ ]') or checked\r\n\r\n if is_checklist:\r\n item_text = item_text.replace('[x]', '').replace('[ ]', '').strip()\r\n blocks.append(self.create_block('to_do', item_text, checked=checked))\r\n else:\r\n blocks.append(self.create_block(list_type, item_text))\r\n return blocks\r\n\r\n def process_table(self, node):\r\n blocks = []\r\n header_row = node.find('thead').find('tr') if node.find('thead') else None\r\n body_rows = node.find('tbody').find_all('tr') if node.find('tbody') else []\r\n\r\n if header_row or body_rows:\r\n table_width = max(len(header_row.find_all(['th', 'td'])) if header_row else 0,\r\n max(len(row.find_all(['th', 'td'])) for row in body_rows))\r\n\r\n table_block = self.create_block('table', '', table_width=table_width, has_column_header=bool(header_row))\r\n blocks.append(table_block)\r\n\r\n if header_row:\r\n header_cells = [cell.get_text(strip=True) for cell in header_row.find_all(['th', 'td'])]\r\n header_row_block = self.create_block('table_row', header_cells)\r\n blocks.append(header_row_block)\r\n\r\n for row in body_rows:\r\n cells = [cell.get_text(strip=True) for cell in row.find_all(['th', 'td'])]\r\n row_block = self.create_block('table_row', cells)\r\n blocks.append(row_block)\r\n\r\n return blocks\r\n \r\n def create_block(self, block_type: str, content: str, **kwargs) -> Dict[str, Any]:\r\n block = {\r\n \"object\": \"block\",\r\n \"type\": block_type,\r\n block_type: {},\r\n }\r\n\r\n if block_type in [\"paragraph\", \"heading_1\", \"heading_2\", \"heading_3\", \"bulleted_list_item\", \"numbered_list_item\", \"quote\"]:\r\n block[block_type][\"rich_text\"] = [\r\n {\r\n \"type\": \"text\",\r\n \"text\": {\r\n \"content\": content,\r\n },\r\n }\r\n ]\r\n elif block_type == 'to_do':\r\n block[block_type][\"rich_text\"] = [\r\n {\r\n \"type\": \"text\",\r\n \"text\": {\r\n \"content\": content,\r\n },\r\n }\r\n ]\r\n block[block_type]['checked'] = kwargs.get('checked', False)\r\n elif block_type == 'code':\r\n block[block_type]['rich_text'] = [\r\n {\r\n \"type\": \"text\",\r\n \"text\": {\r\n \"content\": content,\r\n },\r\n }\r\n ]\r\n block[block_type]['language'] = kwargs.get('language', 'plain text')\r\n elif block_type == 'image':\r\n block[block_type] = {\r\n \"type\": \"external\",\r\n \"external\": {\r\n \"url\": kwargs.get('image_url', '')\r\n }\r\n }\r\n elif block_type == 'divider':\r\n pass\r\n elif block_type == 'bookmark':\r\n block[block_type]['url'] = kwargs.get('link_url', '')\r\n elif block_type == 'table':\r\n block[block_type]['table_width'] = kwargs.get('table_width', 0)\r\n block[block_type]['has_column_header'] = kwargs.get('has_column_header', False)\r\n block[block_type]['has_row_header'] = kwargs.get('has_row_header', False)\r\n elif block_type == 'table_row':\r\n block[block_type]['cells'] = [[{'type': 'text', 'text': {'content': cell}} for cell in content]]\r\n\r\n return block",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "code",
+ "advanced": true,
+ "dynamic": true,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "markdown_text": {
+ "type": "str",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "markdown_text",
+ "display_name": "Markdown Text",
+ "advanced": false,
+ "dynamic": false,
+ "info": "The markdown text to convert to Notion blocks.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"],
+ "value": "# Heading 1\n\n## Heading 2\n\n### Heading 3\n\nThis is a regular paragraph.\n\nHere's another paragraph with an image:\n\n\n## Checklist\n- [x] Completed task\n- [ ] Incomplete task\n- [x] Another completed task\n\n## Numbered List\n1. First item\n2. Second item\n3. Third item\n\n## Bulleted List\n- Item 1\n- Item 2\n- Item 3\n\n## Code Block\n```python\ndef hello_world():\n print(\"Hello, World!\")\n```\n\n## Quote\n> This is a blockquote.\n> It can span multiple lines.\n\n## Horizontal Rule\n---\n\n\n## Link\n[Notion API Documentation](https://developers.notion.com)\n\n"
+ },
+ "notion_secret": {
+ "type": "str",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": true,
+ "name": "notion_secret",
+ "display_name": "Notion Secret",
+ "advanced": false,
+ "dynamic": false,
+ "info": "The Notion integration token.",
+ "load_from_db": true,
+ "title_case": false,
+ "input_types": ["Text"],
+ "value": ""
+ },
+ "_type": "CustomComponent"
+ },
+ "description": "Convert markdown text to Notion blocks and append them to a Notion page.",
+ "icon": "NotionDirectoryLoader",
+ "base_classes": ["Record"],
+ "display_name": "Add Content to Page [Notion] ",
+ "documentation": "https://developers.notion.com/reference/patch-block-children",
+ "custom_fields": {
+ "markdown_text": null,
+ "block_id": null,
+ "notion_secret": null
+ },
+ "output_types": ["Record"],
+ "field_formatters": {},
+ "frozen": false,
+ "field_order": [],
+ "beta": false,
+ "official": false
+ },
+ "id": "CustomComponent-I8Dec"
+ },
+ "selected": false,
+ "width": 384,
+ "height": 497,
+ "positionAbsolute": {
+ "x": -2256.686402636563,
+ "y": -963.4541117792749
+ },
+ "dragging": false
+ },
+ {
+ "id": "CustomComponent-ZcsA9",
+ "type": "genericNode",
+ "position": { "x": -3488.029350341937, "y": -965.3756250644985 },
+ "data": {
+ "type": "CustomComponent",
+ "node": {
+ "template": {
+ "code": {
+ "type": "code",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "import requests\r\nfrom typing import Dict, Any, List\r\nfrom langflow.custom import CustomComponent\r\nfrom langflow.schema import Record\r\n\r\nclass NotionSearch(CustomComponent):\r\n display_name = \"Search Notion\"\r\n description = (\r\n \"Searches all pages and databases that have been shared with an integration.\"\r\n )\r\n documentation: str = \"https://docs.langflow.org/integrations/notion/search\"\r\n icon = \"NotionDirectoryLoader\"\r\n\r\n field_order = [\r\n \"notion_secret\",\r\n \"query\",\r\n \"filter_value\",\r\n \"sort_direction\",\r\n ]\r\n\r\n def build_config(self):\r\n return {\r\n \"notion_secret\": {\r\n \"display_name\": \"Notion Secret\",\r\n \"field_type\": \"str\",\r\n \"info\": \"The Notion integration token.\",\r\n \"password\": True,\r\n },\r\n \"query\": {\r\n \"display_name\": \"Search Query\",\r\n \"field_type\": \"str\",\r\n \"info\": \"The text that the API compares page and database titles against.\",\r\n },\r\n \"filter_value\": {\r\n \"display_name\": \"Filter Type\",\r\n \"field_type\": \"str\",\r\n \"info\": \"Limits the results to either only pages or only databases.\",\r\n \"options\": [\"page\", \"database\"],\r\n \"default_value\": \"page\",\r\n },\r\n \"sort_direction\": {\r\n \"display_name\": \"Sort Direction\",\r\n \"field_type\": \"str\",\r\n \"info\": \"The direction to sort the results.\",\r\n \"options\": [\"ascending\", \"descending\"],\r\n \"default_value\": \"descending\",\r\n },\r\n }\r\n\r\n def build(\r\n self,\r\n notion_secret: str,\r\n query: str = \"\",\r\n filter_value: str = \"page\",\r\n sort_direction: str = \"descending\",\r\n ) -> List[Record]:\r\n try:\r\n url = \"https://api.notion.com/v1/search\"\r\n headers = {\r\n \"Authorization\": f\"Bearer {notion_secret}\",\r\n \"Content-Type\": \"application/json\",\r\n \"Notion-Version\": \"2022-06-28\",\r\n }\r\n\r\n data = {\r\n \"query\": query,\r\n \"filter\": {\r\n \"value\": filter_value,\r\n \"property\": \"object\"\r\n },\r\n \"sort\":{\r\n \"direction\": sort_direction,\r\n \"timestamp\": \"last_edited_time\"\r\n }\r\n }\r\n\r\n response = requests.post(url, headers=headers, json=data)\r\n response.raise_for_status()\r\n\r\n results = response.json()\r\n records = []\r\n combined_text = f\"Results found: {len(results['results'])}\\n\\n\"\r\n for result in results['results']:\r\n result_data = {\r\n 'id': result['id'],\r\n 'type': result['object'],\r\n 'last_edited_time': result['last_edited_time'],\r\n }\r\n \r\n if result['object'] == 'page':\r\n result_data['title_or_url'] = result['url']\r\n text = f\"id: {result['id']}\\ntitle_or_url: {result['url']}\\n\"\r\n elif result['object'] == 'database':\r\n if 'title' in result and isinstance(result['title'], list) and len(result['title']) > 0:\r\n result_data['title_or_url'] = result['title'][0]['plain_text']\r\n text = f\"id: {result['id']}\\ntitle_or_url: {result['title'][0]['plain_text']}\\n\"\r\n else:\r\n result_data['title_or_url'] = \"N/A\"\r\n text = f\"id: {result['id']}\\ntitle_or_url: N/A\\n\"\r\n\r\n text += f\"type: {result['object']}\\nlast_edited_time: {result['last_edited_time']}\\n\\n\"\r\n combined_text += text\r\n records.append(Record(text=text, data=result_data))\r\n \r\n self.status = combined_text\r\n return records\r\n\r\n except Exception as e:\r\n self.status = f\"An error occurred: {str(e)}\"\r\n return [Record(text=self.status, data=[])]",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "code",
+ "advanced": true,
+ "dynamic": true,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "filter_value": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": true,
+ "show": true,
+ "multiline": false,
+ "value": "database",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "options": ["page", "database"],
+ "name": "filter_value",
+ "display_name": "Filter Type",
+ "advanced": false,
+ "dynamic": false,
+ "info": "Limits the results to either only pages or only databases.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "notion_secret": {
+ "type": "str",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": true,
+ "name": "notion_secret",
+ "display_name": "Notion Secret",
+ "advanced": false,
+ "dynamic": false,
+ "info": "The Notion integration token.",
+ "load_from_db": true,
+ "title_case": false,
+ "input_types": ["Text"],
+ "value": ""
+ },
+ "query": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": "",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "query",
+ "display_name": "Search Query",
+ "advanced": false,
+ "dynamic": false,
+ "info": "The text that the API compares page and database titles against.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "sort_direction": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": true,
+ "show": true,
+ "multiline": false,
+ "value": "descending",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "options": ["ascending", "descending"],
+ "name": "sort_direction",
+ "display_name": "Sort Direction",
+ "advanced": false,
+ "dynamic": false,
+ "info": "The direction to sort the results.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "_type": "CustomComponent"
+ },
+ "description": "Searches all pages and databases that have been shared with an integration.",
+ "icon": "NotionDirectoryLoader",
+ "base_classes": ["Record"],
+ "display_name": "Search [Notion]",
+ "documentation": "https://docs.langflow.org/integrations/notion/search",
+ "custom_fields": {
+ "notion_secret": null,
+ "query": null,
+ "filter_value": null,
+ "sort_direction": null
+ },
+ "output_types": ["Record"],
+ "field_formatters": {},
+ "frozen": false,
+ "field_order": [
+ "notion_secret",
+ "query",
+ "filter_value",
+ "sort_direction"
+ ],
+ "beta": false
+ },
+ "id": "CustomComponent-ZcsA9",
+ "description": "Searches all pages and databases that have been shared with an integration.",
+ "display_name": "Search [Notion]"
+ },
+ "selected": false,
+ "width": 384,
+ "height": 591,
+ "positionAbsolute": {
+ "x": -3488.029350341937,
+ "y": -965.3756250644985
+ },
+ "dragging": false
+ }
+ ],
+ "edges": [],
+ "viewport": {
+ "x": 2623.378922967084,
+ "y": 696.8541079344027,
+ "zoom": 0.5981384177708997
+ }
+ },
+ "description": "A Bundle containing Notion components for Page and Database manipulation. You can list pages, users databases, update properties, create new pages and add content to Notion Pages.",
+ "name": "Notion - Components",
+ "last_tested_version": "1.0.0a36",
+ "is_component": false
+}
diff --git a/docs/static/videos/chat_memory.mp4 b/docs/static/videos/chat_memory.mp4
new file mode 100644
index 000000000..ffed26a74
Binary files /dev/null and b/docs/static/videos/chat_memory.mp4 differ
diff --git a/docs/static/videos/combine_text.mp4 b/docs/static/videos/combine_text.mp4
new file mode 100644
index 000000000..7e48303c2
Binary files /dev/null and b/docs/static/videos/combine_text.mp4 differ
diff --git a/docs/static/videos/create_record.mp4 b/docs/static/videos/create_record.mp4
new file mode 100644
index 000000000..558f702e3
Binary files /dev/null and b/docs/static/videos/create_record.mp4 differ
diff --git a/docs/static/videos/pass.mp4 b/docs/static/videos/pass.mp4
new file mode 100644
index 000000000..bb062364e
Binary files /dev/null and b/docs/static/videos/pass.mp4 differ
diff --git a/docs/static/videos/store_message.mp4 b/docs/static/videos/store_message.mp4
new file mode 100644
index 000000000..c8352da0e
Binary files /dev/null and b/docs/static/videos/store_message.mp4 differ
diff --git a/docs/static/videos/sub_flow.mp4 b/docs/static/videos/sub_flow.mp4
new file mode 100644
index 000000000..24222e815
Binary files /dev/null and b/docs/static/videos/sub_flow.mp4 differ
diff --git a/docs/static/videos/text_operator.mp4 b/docs/static/videos/text_operator.mp4
new file mode 100644
index 000000000..3124e6bc4
Binary files /dev/null and b/docs/static/videos/text_operator.mp4 differ
diff --git a/poetry.lock b/poetry.lock
index ee02dc69b..fe95f613e 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -167,20 +167,19 @@ files = [
[[package]]
name = "anthropic"
-version = "0.26.1"
+version = "0.28.0"
description = "The official Python library for the anthropic API"
optional = false
python-versions = ">=3.7"
files = [
- {file = "anthropic-0.26.1-py3-none-any.whl", hash = "sha256:2812b9b250b551ed8a1f0a7e6ae3f005654098994f45ebca5b5808bd154c9628"},
- {file = "anthropic-0.26.1.tar.gz", hash = "sha256:26680ff781a6f678a30a1dccd0743631e602b23a47719439ffdef5335fa167d8"},
+ {file = "anthropic-0.28.0-py3-none-any.whl", hash = "sha256:2b620b21aee3d20c5d8005483c34df239d53ae895687113b26b8a36892a7e20f"},
]
[package.dependencies]
anyio = ">=3.5.0,<5"
distro = ">=1.7.0,<2"
httpx = ">=0.23.0,<1"
-jiter = ">=0.1.0,<1"
+jiter = ">=0.4.0,<1"
pydantic = ">=1.9.0,<3"
sniffio = "*"
tokenizers = ">=0.13.0"
@@ -343,13 +342,13 @@ tests-no-zope = ["attrs[tests-mypy]", "cloudpickle", "hypothesis", "pympler", "p
[[package]]
name = "authlib"
-version = "1.3.0"
+version = "1.3.1"
description = "The ultimate Python library in building OAuth and OpenID Connect servers and clients."
optional = false
python-versions = ">=3.8"
files = [
- {file = "Authlib-1.3.0-py2.py3-none-any.whl", hash = "sha256:9637e4de1fb498310a56900b3e2043a206b03cb11c05422014b0302cbc814be3"},
- {file = "Authlib-1.3.0.tar.gz", hash = "sha256:959ea62a5b7b5123c5059758296122b57cd2585ae2ed1c0622c21b371ffdae06"},
+ {file = "Authlib-1.3.1-py2.py3-none-any.whl", hash = "sha256:d35800b973099bbadc49b42b256ecb80041ad56b7fe1216a362c7943c088f377"},
+ {file = "authlib-1.3.1.tar.gz", hash = "sha256:7ae843f03c06c5c0debd63c9db91f9fda64fa62a42a77419fa15fbb7e7a58917"},
]
[package.dependencies]
@@ -472,17 +471,17 @@ files = [
[[package]]
name = "boto3"
-version = "1.34.113"
+version = "1.34.119"
description = "The AWS SDK for Python"
optional = false
python-versions = ">=3.8"
files = [
- {file = "boto3-1.34.113-py3-none-any.whl", hash = "sha256:7e59f0a848be477a4c98a90e7a18a0e284adfb643f7879d2b303c5f493661b7a"},
- {file = "boto3-1.34.113.tar.gz", hash = "sha256:009cd143509f2ff4c37582c3f45d50f28c95eed68e8a5c36641206bdb597a9ea"},
+ {file = "boto3-1.34.119-py3-none-any.whl", hash = "sha256:8f9c43c54b3dfaa36c4a0d7b42c417227a515bc7a2e163e62802780000a5a3e2"},
+ {file = "boto3-1.34.119.tar.gz", hash = "sha256:cea2365a25b2b83a97e77f24ac6f922ef62e20636b42f9f6ee9f97188f9c1c03"},
]
[package.dependencies]
-botocore = ">=1.34.113,<1.35.0"
+botocore = ">=1.34.119,<1.35.0"
jmespath = ">=0.7.1,<2.0.0"
s3transfer = ">=0.10.0,<0.11.0"
@@ -491,13 +490,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
[[package]]
name = "botocore"
-version = "1.34.113"
+version = "1.34.119"
description = "Low-level, data-driven core of boto 3."
optional = false
python-versions = ">=3.8"
files = [
- {file = "botocore-1.34.113-py3-none-any.whl", hash = "sha256:8ca87776450ef41dd25c327eb6e504294230a5756940d68bcfdedc4a7cdeca97"},
- {file = "botocore-1.34.113.tar.gz", hash = "sha256:449912ba3c4ded64f21d09d428146dd9c05337b2a112e15511bf2c4888faae79"},
+ {file = "botocore-1.34.119-py3-none-any.whl", hash = "sha256:4bdf7926a1290b2650d62899ceba65073dd2693e61c35f5cdeb3a286a0aaa27b"},
+ {file = "botocore-1.34.119.tar.gz", hash = "sha256:b253f15b24b87b070e176af48e8ef146516090429d30a7d8b136a4c079b28008"},
]
[package.dependencies]
@@ -1278,7 +1277,7 @@ yaml = ["PyYAML"]
name = "couchbase"
version = "4.2.1"
description = "Python Client for Couchbase"
-optional = false
+optional = true
python-versions = ">=3.7"
files = [
{file = "couchbase-4.2.1-cp310-cp310-macosx_10_15_x86_64.whl", hash = "sha256:7ad4c4462879f456a9067ac1788e62d852509439bac3538b9bc459a754666481"},
@@ -1310,63 +1309,63 @@ files = [
[[package]]
name = "coverage"
-version = "7.5.2"
+version = "7.5.3"
description = "Code coverage measurement for Python"
optional = false
python-versions = ">=3.8"
files = [
- {file = "coverage-7.5.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:554c7327bf0fd688050348e22db7c8e163fb7219f3ecdd4732d7ed606b417263"},
- {file = "coverage-7.5.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:d0305e02e40c7cfea5d08d6368576537a74c0eea62b77633179748d3519d6705"},
- {file = "coverage-7.5.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:829fb55ad437d757c70d5b1c51cfda9377f31506a0a3f3ac282bc6a387d6a5f1"},
- {file = "coverage-7.5.2-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:894b1acded706f1407a662d08e026bfd0ff1e59e9bd32062fea9d862564cfb65"},
- {file = "coverage-7.5.2-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fe76d6dee5e4febefa83998b17926df3a04e5089e3d2b1688c74a9157798d7a2"},
- {file = "coverage-7.5.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:c7ebf2a37e4f5fea3c1a11e1f47cea7d75d0f2d8ef69635ddbd5c927083211fc"},
- {file = "coverage-7.5.2-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:20e611fc36e1a0fc7bbf957ef9c635c8807d71fbe5643e51b2769b3cc0fb0b51"},
- {file = "coverage-7.5.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:7c5c5b7ae2763533152880d5b5b451acbc1089ade2336b710a24b2b0f5239d20"},
- {file = "coverage-7.5.2-cp310-cp310-win32.whl", hash = "sha256:1e4225990a87df898e40ca31c9e830c15c2c53b1d33df592bc8ef314d71f0281"},
- {file = "coverage-7.5.2-cp310-cp310-win_amd64.whl", hash = "sha256:976cd92d9420e6e2aa6ce6a9d61f2b490e07cb468968adf371546b33b829284b"},
- {file = "coverage-7.5.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:5997d418c219dcd4dcba64e50671cca849aaf0dac3d7a2eeeb7d651a5bd735b8"},
- {file = "coverage-7.5.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:ec27e93bbf5976f0465e8936f02eb5add99bbe4e4e7b233607e4d7622912d68d"},
- {file = "coverage-7.5.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1f11f98753800eb1ec872562a398081f6695f91cd01ce39819e36621003ec52a"},
- {file = "coverage-7.5.2-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:6e34680049eecb30b6498784c9637c1c74277dcb1db75649a152f8004fbd6646"},
- {file = "coverage-7.5.2-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3e12536446ad4527ac8ed91d8a607813085683bcce27af69e3b31cd72b3c5960"},
- {file = "coverage-7.5.2-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:3d3f7744b8a8079d69af69d512e5abed4fb473057625588ce126088e50d05493"},
- {file = "coverage-7.5.2-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:431a3917e32223fcdb90b79fe60185864a9109631ebc05f6c5aa03781a00b513"},
- {file = "coverage-7.5.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:a7c6574225f34ce45466f04751d957b5c5e6b69fca9351db017c9249786172ce"},
- {file = "coverage-7.5.2-cp311-cp311-win32.whl", hash = "sha256:2b144d142ec9987276aeff1326edbc0df8ba4afbd7232f0ca10ad57a115e95b6"},
- {file = "coverage-7.5.2-cp311-cp311-win_amd64.whl", hash = "sha256:900532713115ac58bc3491b9d2b52704a05ed408ba0918d57fd72c94bc47fba1"},
- {file = "coverage-7.5.2-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:9a42970ce74c88bdf144df11c52c5cf4ad610d860de87c0883385a1c9d9fa4ab"},
- {file = "coverage-7.5.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:26716a1118c6ce2188283b4b60a898c3be29b480acbd0a91446ced4fe4e780d8"},
- {file = "coverage-7.5.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:60b66b0363c5a2a79fba3d1cd7430c25bbd92c923d031cae906bdcb6e054d9a2"},
- {file = "coverage-7.5.2-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e5d22eba19273b2069e4efeff88c897a26bdc64633cbe0357a198f92dca94268"},
- {file = "coverage-7.5.2-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3bb5b92a0ab3d22dfdbfe845e2fef92717b067bdf41a5b68c7e3e857c0cff1a4"},
- {file = "coverage-7.5.2-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:1aef719b6559b521ae913ddeb38f5048c6d1a3d366865e8b320270b7bc4693c2"},
- {file = "coverage-7.5.2-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:8809c0ea0e8454f756e3bd5c36d04dddf222989216788a25bfd6724bfcee342c"},
- {file = "coverage-7.5.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:1acc2e2ef098a1d4bf535758085f508097316d738101a97c3f996bccba963ea5"},
- {file = "coverage-7.5.2-cp312-cp312-win32.whl", hash = "sha256:97de509043d3f0f2b2cd171bdccf408f175c7f7a99d36d566b1ae4dd84107985"},
- {file = "coverage-7.5.2-cp312-cp312-win_amd64.whl", hash = "sha256:8941e35a0e991a7a20a1fa3e3182f82abe357211f2c335a9e6007067c3392fcf"},
- {file = "coverage-7.5.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:5662bf0f6fb6757f5c2d6279c541a5af55a39772c2362ed0920b27e3ce0e21f7"},
- {file = "coverage-7.5.2-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:3d9c62cff2ffb4c2a95328488fd7aa96a7a4b34873150650fe76b19c08c9c792"},
- {file = "coverage-7.5.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:74eeaa13e8200ad72fca9c5f37395fb310915cec6f1682b21375e84fd9770e84"},
- {file = "coverage-7.5.2-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1f29bf497d51a5077994b265e976d78b09d9d0dff6ca5763dbb4804534a5d380"},
- {file = "coverage-7.5.2-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1f96aa94739593ae0707eda9813ce363a0a0374a810ae0eced383340fc4a1f73"},
- {file = "coverage-7.5.2-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:51b6cee539168a912b4b3b040e4042b9e2c9a7ad9c8546c09e4eaeff3eacba6b"},
- {file = "coverage-7.5.2-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:59a75e6aa5c25b50b5a1499f9718f2edff54257f545718c4fb100f48d570ead4"},
- {file = "coverage-7.5.2-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:29da75ce20cb0a26d60e22658dd3230713c6c05a3465dd8ad040ffc991aea318"},
- {file = "coverage-7.5.2-cp38-cp38-win32.whl", hash = "sha256:23f2f16958b16152b43a39a5ecf4705757ddd284b3b17a77da3a62aef9c057ef"},
- {file = "coverage-7.5.2-cp38-cp38-win_amd64.whl", hash = "sha256:9e41c94035e5cdb362beed681b58a707e8dc29ea446ea1713d92afeded9d1ddd"},
- {file = "coverage-7.5.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:06d96b9b19bbe7f049c2be3c4f9e06737ec6d8ef8933c7c3a4c557ef07936e46"},
- {file = "coverage-7.5.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:878243e1206828908a6b4a9ca7b1aa8bee9eb129bf7186fc381d2646f4524ce9"},
- {file = "coverage-7.5.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:482df956b055d3009d10fce81af6ffab28215d7ed6ad4a15e5c8e67cb7c5251c"},
- {file = "coverage-7.5.2-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a35c97af60a5492e9e89f8b7153fe24eadfd61cb3a2fb600df1a25b5dab34b7e"},
- {file = "coverage-7.5.2-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:24bb4c7859a3f757a116521d4d3a8a82befad56ea1bdacd17d6aafd113b0071e"},
- {file = "coverage-7.5.2-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:e1046aab24c48c694f0793f669ac49ea68acde6a0798ac5388abe0a5615b5ec8"},
- {file = "coverage-7.5.2-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:448ec61ea9ea7916d5579939362509145caaecf03161f6f13e366aebb692a631"},
- {file = "coverage-7.5.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:4a00bd5ba8f1a4114720bef283cf31583d6cb1c510ce890a6da6c4268f0070b7"},
- {file = "coverage-7.5.2-cp39-cp39-win32.whl", hash = "sha256:9f805481d5eff2a96bac4da1570ef662bf970f9a16580dc2c169c8c3183fa02b"},
- {file = "coverage-7.5.2-cp39-cp39-win_amd64.whl", hash = "sha256:2c79f058e7bec26b5295d53b8c39ecb623448c74ccc8378631f5cb5c16a7e02c"},
- {file = "coverage-7.5.2-pp38.pp39.pp310-none-any.whl", hash = "sha256:40dbb8e7727560fe8ab65efcddfec1ae25f30ef02e2f2e5d78cfb52a66781ec5"},
- {file = "coverage-7.5.2.tar.gz", hash = "sha256:13017a63b0e499c59b5ba94a8542fb62864ba3016127d1e4ef30d354fc2b00e9"},
+ {file = "coverage-7.5.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:a6519d917abb15e12380406d721e37613e2a67d166f9fb7e5a8ce0375744cd45"},
+ {file = "coverage-7.5.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:aea7da970f1feccf48be7335f8b2ca64baf9b589d79e05b9397a06696ce1a1ec"},
+ {file = "coverage-7.5.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:923b7b1c717bd0f0f92d862d1ff51d9b2b55dbbd133e05680204465f454bb286"},
+ {file = "coverage-7.5.3-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:62bda40da1e68898186f274f832ef3e759ce929da9a9fd9fcf265956de269dbc"},
+ {file = "coverage-7.5.3-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d8b7339180d00de83e930358223c617cc343dd08e1aa5ec7b06c3a121aec4e1d"},
+ {file = "coverage-7.5.3-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:25a5caf742c6195e08002d3b6c2dd6947e50efc5fc2c2205f61ecb47592d2d83"},
+ {file = "coverage-7.5.3-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:05ac5f60faa0c704c0f7e6a5cbfd6f02101ed05e0aee4d2822637a9e672c998d"},
+ {file = "coverage-7.5.3-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:239a4e75e09c2b12ea478d28815acf83334d32e722e7433471fbf641c606344c"},
+ {file = "coverage-7.5.3-cp310-cp310-win32.whl", hash = "sha256:a5812840d1d00eafae6585aba38021f90a705a25b8216ec7f66aebe5b619fb84"},
+ {file = "coverage-7.5.3-cp310-cp310-win_amd64.whl", hash = "sha256:33ca90a0eb29225f195e30684ba4a6db05dbef03c2ccd50b9077714c48153cac"},
+ {file = "coverage-7.5.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:f81bc26d609bf0fbc622c7122ba6307993c83c795d2d6f6f6fd8c000a770d974"},
+ {file = "coverage-7.5.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:7cec2af81f9e7569280822be68bd57e51b86d42e59ea30d10ebdbb22d2cb7232"},
+ {file = "coverage-7.5.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:55f689f846661e3f26efa535071775d0483388a1ccfab899df72924805e9e7cd"},
+ {file = "coverage-7.5.3-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:50084d3516aa263791198913a17354bd1dc627d3c1639209640b9cac3fef5807"},
+ {file = "coverage-7.5.3-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:341dd8f61c26337c37988345ca5c8ccabeff33093a26953a1ac72e7d0103c4fb"},
+ {file = "coverage-7.5.3-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:ab0b028165eea880af12f66086694768f2c3139b2c31ad5e032c8edbafca6ffc"},
+ {file = "coverage-7.5.3-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:5bc5a8c87714b0c67cfeb4c7caa82b2d71e8864d1a46aa990b5588fa953673b8"},
+ {file = "coverage-7.5.3-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:38a3b98dae8a7c9057bd91fbf3415c05e700a5114c5f1b5b0ea5f8f429ba6614"},
+ {file = "coverage-7.5.3-cp311-cp311-win32.whl", hash = "sha256:fcf7d1d6f5da887ca04302db8e0e0cf56ce9a5e05f202720e49b3e8157ddb9a9"},
+ {file = "coverage-7.5.3-cp311-cp311-win_amd64.whl", hash = "sha256:8c836309931839cca658a78a888dab9676b5c988d0dd34ca247f5f3e679f4e7a"},
+ {file = "coverage-7.5.3-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:296a7d9bbc598e8744c00f7a6cecf1da9b30ae9ad51c566291ff1314e6cbbed8"},
+ {file = "coverage-7.5.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:34d6d21d8795a97b14d503dcaf74226ae51eb1f2bd41015d3ef332a24d0a17b3"},
+ {file = "coverage-7.5.3-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8e317953bb4c074c06c798a11dbdd2cf9979dbcaa8ccc0fa4701d80042d4ebf1"},
+ {file = "coverage-7.5.3-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:705f3d7c2b098c40f5b81790a5fedb274113373d4d1a69e65f8b68b0cc26f6db"},
+ {file = "coverage-7.5.3-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b1196e13c45e327d6cd0b6e471530a1882f1017eb83c6229fc613cd1a11b53cd"},
+ {file = "coverage-7.5.3-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:015eddc5ccd5364dcb902eaecf9515636806fa1e0d5bef5769d06d0f31b54523"},
+ {file = "coverage-7.5.3-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:fd27d8b49e574e50caa65196d908f80e4dff64d7e592d0c59788b45aad7e8b35"},
+ {file = "coverage-7.5.3-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:33fc65740267222fc02975c061eb7167185fef4cc8f2770267ee8bf7d6a42f84"},
+ {file = "coverage-7.5.3-cp312-cp312-win32.whl", hash = "sha256:7b2a19e13dfb5c8e145c7a6ea959485ee8e2204699903c88c7d25283584bfc08"},
+ {file = "coverage-7.5.3-cp312-cp312-win_amd64.whl", hash = "sha256:0bbddc54bbacfc09b3edaec644d4ac90c08ee8ed4844b0f86227dcda2d428fcb"},
+ {file = "coverage-7.5.3-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:f78300789a708ac1f17e134593f577407d52d0417305435b134805c4fb135adb"},
+ {file = "coverage-7.5.3-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:b368e1aee1b9b75757942d44d7598dcd22a9dbb126affcbba82d15917f0cc155"},
+ {file = "coverage-7.5.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f836c174c3a7f639bded48ec913f348c4761cbf49de4a20a956d3431a7c9cb24"},
+ {file = "coverage-7.5.3-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:244f509f126dc71369393ce5fea17c0592c40ee44e607b6d855e9c4ac57aac98"},
+ {file = "coverage-7.5.3-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c4c2872b3c91f9baa836147ca33650dc5c172e9273c808c3c3199c75490e709d"},
+ {file = "coverage-7.5.3-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:dd4b3355b01273a56b20c219e74e7549e14370b31a4ffe42706a8cda91f19f6d"},
+ {file = "coverage-7.5.3-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:f542287b1489c7a860d43a7d8883e27ca62ab84ca53c965d11dac1d3a1fab7ce"},
+ {file = "coverage-7.5.3-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:75e3f4e86804023e991096b29e147e635f5e2568f77883a1e6eed74512659ab0"},
+ {file = "coverage-7.5.3-cp38-cp38-win32.whl", hash = "sha256:c59d2ad092dc0551d9f79d9d44d005c945ba95832a6798f98f9216ede3d5f485"},
+ {file = "coverage-7.5.3-cp38-cp38-win_amd64.whl", hash = "sha256:fa21a04112c59ad54f69d80e376f7f9d0f5f9123ab87ecd18fbb9ec3a2beed56"},
+ {file = "coverage-7.5.3-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:f5102a92855d518b0996eb197772f5ac2a527c0ec617124ad5242a3af5e25f85"},
+ {file = "coverage-7.5.3-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:d1da0a2e3b37b745a2b2a678a4c796462cf753aebf94edcc87dcc6b8641eae31"},
+ {file = "coverage-7.5.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8383a6c8cefba1b7cecc0149415046b6fc38836295bc4c84e820872eb5478b3d"},
+ {file = "coverage-7.5.3-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:9aad68c3f2566dfae84bf46295a79e79d904e1c21ccfc66de88cd446f8686341"},
+ {file = "coverage-7.5.3-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2e079c9ec772fedbade9d7ebc36202a1d9ef7291bc9b3a024ca395c4d52853d7"},
+ {file = "coverage-7.5.3-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:bde997cac85fcac227b27d4fb2c7608a2c5f6558469b0eb704c5726ae49e1c52"},
+ {file = "coverage-7.5.3-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:990fb20b32990b2ce2c5f974c3e738c9358b2735bc05075d50a6f36721b8f303"},
+ {file = "coverage-7.5.3-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:3d5a67f0da401e105753d474369ab034c7bae51a4c31c77d94030d59e41df5bd"},
+ {file = "coverage-7.5.3-cp39-cp39-win32.whl", hash = "sha256:e08c470c2eb01977d221fd87495b44867a56d4d594f43739a8028f8646a51e0d"},
+ {file = "coverage-7.5.3-cp39-cp39-win_amd64.whl", hash = "sha256:1d2a830ade66d3563bb61d1e3c77c8def97b30ed91e166c67d0632c018f380f0"},
+ {file = "coverage-7.5.3-pp38.pp39.pp310-none-any.whl", hash = "sha256:3538d8fb1ee9bdd2e2692b3b18c22bb1c19ffbefd06880f5ac496e42d7bb3884"},
+ {file = "coverage-7.5.3.tar.gz", hash = "sha256:04aefca5190d1dc7a53a4c1a5a7f8568811306d7a8ee231c42fb69215571944f"},
]
[package.dependencies]
@@ -1377,43 +1376,43 @@ toml = ["tomli"]
[[package]]
name = "cryptography"
-version = "42.0.7"
+version = "42.0.8"
description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers."
optional = false
python-versions = ">=3.7"
files = [
- {file = "cryptography-42.0.7-cp37-abi3-macosx_10_12_universal2.whl", hash = "sha256:a987f840718078212fdf4504d0fd4c6effe34a7e4740378e59d47696e8dfb477"},
- {file = "cryptography-42.0.7-cp37-abi3-macosx_10_12_x86_64.whl", hash = "sha256:bd13b5e9b543532453de08bcdc3cc7cebec6f9883e886fd20a92f26940fd3e7a"},
- {file = "cryptography-42.0.7-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a79165431551042cc9d1d90e6145d5d0d3ab0f2d66326c201d9b0e7f5bf43604"},
- {file = "cryptography-42.0.7-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a47787a5e3649008a1102d3df55424e86606c9bae6fb77ac59afe06d234605f8"},
- {file = "cryptography-42.0.7-cp37-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:02c0eee2d7133bdbbc5e24441258d5d2244beb31da5ed19fbb80315f4bbbff55"},
- {file = "cryptography-42.0.7-cp37-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:5e44507bf8d14b36b8389b226665d597bc0f18ea035d75b4e53c7b1ea84583cc"},
- {file = "cryptography-42.0.7-cp37-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:7f8b25fa616d8b846aef64b15c606bb0828dbc35faf90566eb139aa9cff67af2"},
- {file = "cryptography-42.0.7-cp37-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:93a3209f6bb2b33e725ed08ee0991b92976dfdcf4e8b38646540674fc7508e13"},
- {file = "cryptography-42.0.7-cp37-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:e6b8f1881dac458c34778d0a424ae5769de30544fc678eac51c1c8bb2183e9da"},
- {file = "cryptography-42.0.7-cp37-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:3de9a45d3b2b7d8088c3fbf1ed4395dfeff79d07842217b38df14ef09ce1d8d7"},
- {file = "cryptography-42.0.7-cp37-abi3-win32.whl", hash = "sha256:789caea816c6704f63f6241a519bfa347f72fbd67ba28d04636b7c6b7da94b0b"},
- {file = "cryptography-42.0.7-cp37-abi3-win_amd64.whl", hash = "sha256:8cb8ce7c3347fcf9446f201dc30e2d5a3c898d009126010cbd1f443f28b52678"},
- {file = "cryptography-42.0.7-cp39-abi3-macosx_10_12_universal2.whl", hash = "sha256:a3a5ac8b56fe37f3125e5b72b61dcde43283e5370827f5233893d461b7360cd4"},
- {file = "cryptography-42.0.7-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:779245e13b9a6638df14641d029add5dc17edbef6ec915688f3acb9e720a5858"},
- {file = "cryptography-42.0.7-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0d563795db98b4cd57742a78a288cdbdc9daedac29f2239793071fe114f13785"},
- {file = "cryptography-42.0.7-cp39-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:31adb7d06fe4383226c3e963471f6837742889b3c4caa55aac20ad951bc8ffda"},
- {file = "cryptography-42.0.7-cp39-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:efd0bf5205240182e0f13bcaea41be4fdf5c22c5129fc7ced4a0282ac86998c9"},
- {file = "cryptography-42.0.7-cp39-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:a9bc127cdc4ecf87a5ea22a2556cab6c7eda2923f84e4f3cc588e8470ce4e42e"},
- {file = "cryptography-42.0.7-cp39-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:3577d029bc3f4827dd5bf8bf7710cac13527b470bbf1820a3f394adb38ed7d5f"},
- {file = "cryptography-42.0.7-cp39-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:2e47577f9b18723fa294b0ea9a17d5e53a227867a0a4904a1a076d1646d45ca1"},
- {file = "cryptography-42.0.7-cp39-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:1a58839984d9cb34c855197043eaae2c187d930ca6d644612843b4fe8513c886"},
- {file = "cryptography-42.0.7-cp39-abi3-win32.whl", hash = "sha256:e6b79d0adb01aae87e8a44c2b64bc3f3fe59515280e00fb6d57a7267a2583cda"},
- {file = "cryptography-42.0.7-cp39-abi3-win_amd64.whl", hash = "sha256:16268d46086bb8ad5bf0a2b5544d8a9ed87a0e33f5e77dd3c3301e63d941a83b"},
- {file = "cryptography-42.0.7-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:2954fccea107026512b15afb4aa664a5640cd0af630e2ee3962f2602693f0c82"},
- {file = "cryptography-42.0.7-pp310-pypy310_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:362e7197754c231797ec45ee081f3088a27a47c6c01eff2ac83f60f85a50fe60"},
- {file = "cryptography-42.0.7-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:4f698edacf9c9e0371112792558d2f705b5645076cc0aaae02f816a0171770fd"},
- {file = "cryptography-42.0.7-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:5482e789294854c28237bba77c4c83be698be740e31a3ae5e879ee5444166582"},
- {file = "cryptography-42.0.7-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:e9b2a6309f14c0497f348d08a065d52f3020656f675819fc405fb63bbcd26562"},
- {file = "cryptography-42.0.7-pp39-pypy39_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:d8e3098721b84392ee45af2dd554c947c32cc52f862b6a3ae982dbb90f577f14"},
- {file = "cryptography-42.0.7-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:c65f96dad14f8528a447414125e1fc8feb2ad5a272b8f68477abbcc1ea7d94b9"},
- {file = "cryptography-42.0.7-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:36017400817987670037fbb0324d71489b6ead6231c9604f8fc1f7d008087c68"},
- {file = "cryptography-42.0.7.tar.gz", hash = "sha256:ecbfbc00bf55888edda9868a4cf927205de8499e7fabe6c050322298382953f2"},
+ {file = "cryptography-42.0.8-cp37-abi3-macosx_10_12_universal2.whl", hash = "sha256:81d8a521705787afe7a18d5bfb47ea9d9cc068206270aad0b96a725022e18d2e"},
+ {file = "cryptography-42.0.8-cp37-abi3-macosx_10_12_x86_64.whl", hash = "sha256:961e61cefdcb06e0c6d7e3a1b22ebe8b996eb2bf50614e89384be54c48c6b63d"},
+ {file = "cryptography-42.0.8-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e3ec3672626e1b9e55afd0df6d774ff0e953452886e06e0f1eb7eb0c832e8902"},
+ {file = "cryptography-42.0.8-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e599b53fd95357d92304510fb7bda8523ed1f79ca98dce2f43c115950aa78801"},
+ {file = "cryptography-42.0.8-cp37-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:5226d5d21ab681f432a9c1cf8b658c0cb02533eece706b155e5fbd8a0cdd3949"},
+ {file = "cryptography-42.0.8-cp37-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:6b7c4f03ce01afd3b76cf69a5455caa9cfa3de8c8f493e0d3ab7d20611c8dae9"},
+ {file = "cryptography-42.0.8-cp37-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:2346b911eb349ab547076f47f2e035fc8ff2c02380a7cbbf8d87114fa0f1c583"},
+ {file = "cryptography-42.0.8-cp37-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:ad803773e9df0b92e0a817d22fd8a3675493f690b96130a5e24f1b8fabbea9c7"},
+ {file = "cryptography-42.0.8-cp37-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:2f66d9cd9147ee495a8374a45ca445819f8929a3efcd2e3df6428e46c3cbb10b"},
+ {file = "cryptography-42.0.8-cp37-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:d45b940883a03e19e944456a558b67a41160e367a719833c53de6911cabba2b7"},
+ {file = "cryptography-42.0.8-cp37-abi3-win32.whl", hash = "sha256:a0c5b2b0585b6af82d7e385f55a8bc568abff8923af147ee3c07bd8b42cda8b2"},
+ {file = "cryptography-42.0.8-cp37-abi3-win_amd64.whl", hash = "sha256:57080dee41209e556a9a4ce60d229244f7a66ef52750f813bfbe18959770cfba"},
+ {file = "cryptography-42.0.8-cp39-abi3-macosx_10_12_universal2.whl", hash = "sha256:dea567d1b0e8bc5764b9443858b673b734100c2871dc93163f58c46a97a83d28"},
+ {file = "cryptography-42.0.8-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c4783183f7cb757b73b2ae9aed6599b96338eb957233c58ca8f49a49cc32fd5e"},
+ {file = "cryptography-42.0.8-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a0608251135d0e03111152e41f0cc2392d1e74e35703960d4190b2e0f4ca9c70"},
+ {file = "cryptography-42.0.8-cp39-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:dc0fdf6787f37b1c6b08e6dfc892d9d068b5bdb671198c72072828b80bd5fe4c"},
+ {file = "cryptography-42.0.8-cp39-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:9c0c1716c8447ee7dbf08d6db2e5c41c688544c61074b54fc4564196f55c25a7"},
+ {file = "cryptography-42.0.8-cp39-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:fff12c88a672ab9c9c1cf7b0c80e3ad9e2ebd9d828d955c126be4fd3e5578c9e"},
+ {file = "cryptography-42.0.8-cp39-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:cafb92b2bc622cd1aa6a1dce4b93307792633f4c5fe1f46c6b97cf67073ec961"},
+ {file = "cryptography-42.0.8-cp39-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:31f721658a29331f895a5a54e7e82075554ccfb8b163a18719d342f5ffe5ecb1"},
+ {file = "cryptography-42.0.8-cp39-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:b297f90c5723d04bcc8265fc2a0f86d4ea2e0f7ab4b6994459548d3a6b992a14"},
+ {file = "cryptography-42.0.8-cp39-abi3-win32.whl", hash = "sha256:2f88d197e66c65be5e42cd72e5c18afbfae3f741742070e3019ac8f4ac57262c"},
+ {file = "cryptography-42.0.8-cp39-abi3-win_amd64.whl", hash = "sha256:fa76fbb7596cc5839320000cdd5d0955313696d9511debab7ee7278fc8b5c84a"},
+ {file = "cryptography-42.0.8-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:ba4f0a211697362e89ad822e667d8d340b4d8d55fae72cdd619389fb5912eefe"},
+ {file = "cryptography-42.0.8-pp310-pypy310_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:81884c4d096c272f00aeb1f11cf62ccd39763581645b0812e99a91505fa48e0c"},
+ {file = "cryptography-42.0.8-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:c9bb2ae11bfbab395bdd072985abde58ea9860ed84e59dbc0463a5d0159f5b71"},
+ {file = "cryptography-42.0.8-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:7016f837e15b0a1c119d27ecd89b3515f01f90a8615ed5e9427e30d9cdbfed3d"},
+ {file = "cryptography-42.0.8-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:5a94eccb2a81a309806027e1670a358b99b8fe8bfe9f8d329f27d72c094dde8c"},
+ {file = "cryptography-42.0.8-pp39-pypy39_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:dec9b018df185f08483f294cae6ccac29e7a6e0678996587363dc352dc65c842"},
+ {file = "cryptography-42.0.8-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:343728aac38decfdeecf55ecab3264b015be68fc2816ca800db649607aeee648"},
+ {file = "cryptography-42.0.8-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:013629ae70b40af70c9a7a5db40abe5d9054e6f4380e50ce769947b73bf3caad"},
+ {file = "cryptography-42.0.8.tar.gz", hash = "sha256:8d09d05439ce7baa8e9e95b07ec5b6c886f548deb7e0f69ef25f64b3bce842f2"},
]
[package.dependencies]
@@ -1807,13 +1806,13 @@ gmpy2 = ["gmpy2"]
[[package]]
name = "elastic-transport"
-version = "8.13.0"
+version = "8.13.1"
description = "Transport classes and utilities shared among Python Elastic client libraries"
optional = false
python-versions = ">=3.7"
files = [
- {file = "elastic-transport-8.13.0.tar.gz", hash = "sha256:2410ec1ff51221e8b3a01c0afa9f0d0498e1386a269283801f5c12f98e42dc45"},
- {file = "elastic_transport-8.13.0-py3-none-any.whl", hash = "sha256:aec890afdddd057762b27ff3553b0be8fa4673ec1a4fd922dfbd00325874bb3d"},
+ {file = "elastic_transport-8.13.1-py3-none-any.whl", hash = "sha256:5d4bb6b8e9d74a9c16de274e91a5caf65a3a8d12876f1e99152975e15b2746fe"},
+ {file = "elastic_transport-8.13.1.tar.gz", hash = "sha256:16339d392b4bbe86ad00b4bdeecff10edf516d32bc6c16053846625f2c6ea250"},
]
[package.dependencies]
@@ -2539,13 +2538,13 @@ grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]
[[package]]
name = "google-api-python-client"
-version = "2.130.0"
+version = "2.132.0"
description = "Google API Client Library for Python"
optional = false
python-versions = ">=3.7"
files = [
- {file = "google-api-python-client-2.130.0.tar.gz", hash = "sha256:2bba3122b82a649c677b8a694b8e2bbf2a5fbf3420265caf3343bb88e2e9f0ae"},
- {file = "google_api_python_client-2.130.0-py2.py3-none-any.whl", hash = "sha256:7d45a28d738628715944a9c9d73e8696e7e03ac50b7de87f5e3035cefa94ed3a"},
+ {file = "google-api-python-client-2.132.0.tar.gz", hash = "sha256:d6340dc83b72d72333cee5d50f7dcfecbff66a8783164090e945f985ec4c374d"},
+ {file = "google_api_python_client-2.132.0-py2.py3-none-any.whl", hash = "sha256:cde87700bd4d37f39f5e940292c1c6cd0910990b5b01f50b1332a8cea38e8595"},
]
[package.dependencies]
@@ -2595,13 +2594,13 @@ httplib2 = ">=0.19.0"
[[package]]
name = "google-cloud-aiplatform"
-version = "1.52.0"
+version = "1.53.0"
description = "Vertex AI API client library"
optional = false
python-versions = ">=3.8"
files = [
- {file = "google-cloud-aiplatform-1.52.0.tar.gz", hash = "sha256:932a56e3050b4bc9a2c0630e6af3c0bd52f0bcf72b5dc01c059874231099edd3"},
- {file = "google_cloud_aiplatform-1.52.0-py2.py3-none-any.whl", hash = "sha256:8c62f5d0ec39e008737ebba4875105ed7563dd0958f591f95dc7816e4b30f92a"},
+ {file = "google-cloud-aiplatform-1.53.0.tar.gz", hash = "sha256:574cfad8ac5fa5d57ef717f5335ce05636a5fa9b8aeea0f5c325b46b9448e6b1"},
+ {file = "google_cloud_aiplatform-1.53.0-py2.py3-none-any.whl", hash = "sha256:9dfb1f110e6d4795b45afcfab79108fc5c8ed9aa4eaf899e433bc2ca1b76c778"},
]
[package.dependencies]
@@ -2642,13 +2641,13 @@ xai = ["tensorflow (>=2.3.0,<3.0.0dev)"]
[[package]]
name = "google-cloud-bigquery"
-version = "3.23.1"
+version = "3.24.0"
description = "Google BigQuery API client library"
optional = false
python-versions = ">=3.7"
files = [
- {file = "google-cloud-bigquery-3.23.1.tar.gz", hash = "sha256:4b4597f9291b42102c9667d3b4528f801d4c8f24ef2b12dd1ecb881273330955"},
- {file = "google_cloud_bigquery-3.23.1-py2.py3-none-any.whl", hash = "sha256:9fb72884fdbec9c4643cea6b7f21e1ecf3eb61d5305f87493d271dc801647a9e"},
+ {file = "google-cloud-bigquery-3.24.0.tar.gz", hash = "sha256:e95e6f6e0aa32e6c453d44e2b3298931fdd7947c309ea329a31b6ff1f939e17e"},
+ {file = "google_cloud_bigquery-3.24.0-py2.py3-none-any.whl", hash = "sha256:bc08323ce99dee4e811b7c3d0cde8929f5bf0b1aeaed6bcd75fc89796dd87652"},
]
[package.dependencies]
@@ -2865,31 +2864,31 @@ requests = "*"
[[package]]
name = "googleapis-common-protos"
-version = "1.63.0"
+version = "1.63.1"
description = "Common protobufs used in Google APIs"
optional = false
python-versions = ">=3.7"
files = [
- {file = "googleapis-common-protos-1.63.0.tar.gz", hash = "sha256:17ad01b11d5f1d0171c06d3ba5c04c54474e883b66b949722b4938ee2694ef4e"},
- {file = "googleapis_common_protos-1.63.0-py2.py3-none-any.whl", hash = "sha256:ae45f75702f7c08b541f750854a678bd8f534a1a6bace6afe975f1d0a82d6632"},
+ {file = "googleapis-common-protos-1.63.1.tar.gz", hash = "sha256:c6442f7a0a6b2a80369457d79e6672bb7dcbaab88e0848302497e3ec80780a6a"},
+ {file = "googleapis_common_protos-1.63.1-py2.py3-none-any.whl", hash = "sha256:0e1c2cdfcbc354b76e4a211a35ea35d6926a835cba1377073c4861db904a1877"},
]
[package.dependencies]
grpcio = {version = ">=1.44.0,<2.0.0.dev0", optional = true, markers = "extra == \"grpc\""}
-protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<5.0.0.dev0"
+protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<6.0.0.dev0"
[package.extras]
grpc = ["grpcio (>=1.44.0,<2.0.0.dev0)"]
[[package]]
name = "gotrue"
-version = "2.4.2"
+version = "2.4.4"
description = "Python Client Library for Supabase Auth"
optional = false
python-versions = "<4.0,>=3.8"
files = [
- {file = "gotrue-2.4.2-py3-none-any.whl", hash = "sha256:64cd40933d1f0a5d5cc4f4bd93bc51d730b94812447b6600f774790a4901e455"},
- {file = "gotrue-2.4.2.tar.gz", hash = "sha256:e100745161f1c58dd05b9c1ef8bcd4cd78cdfb38d8d2c253ade63143a3dc6aeb"},
+ {file = "gotrue-2.4.4-py3-none-any.whl", hash = "sha256:2eef9c962820b114d355cd0690ec6aaeb03374efe8c6c75d2265d34483e9a67e"},
+ {file = "gotrue-2.4.4.tar.gz", hash = "sha256:ba4652e3adb39c341a3a4f6a93ebe56b54e25b0959c66d1b38fd40fe4d75bff5"},
]
[package.dependencies]
@@ -2898,13 +2897,13 @@ pydantic = ">=1.10,<3"
[[package]]
name = "gprof2dot"
-version = "2022.7.29"
+version = "2024.6.5"
description = "Generate a dot graph from the output of several profilers."
optional = false
python-versions = ">=2.7"
files = [
- {file = "gprof2dot-2022.7.29-py2.py3-none-any.whl", hash = "sha256:f165b3851d3c52ee4915eb1bd6cca571e5759823c2cd0f71a79bda93c2dc85d6"},
- {file = "gprof2dot-2022.7.29.tar.gz", hash = "sha256:45b4d298bd36608fccf9511c3fd88a773f7a1abc04d6cd39445b11ba43133ec5"},
+ {file = "gprof2dot-2024.6.5-py2.py3-none-any.whl", hash = "sha256:0be69ac4f5e0d6f57e0c627fa8f6053bdca6a7a226ea6fd8a74b69c845c7d2df"},
+ {file = "gprof2dot-2024.6.5.tar.gz", hash = "sha256:7564e4483f710d463bca1f27668aa595faaf0beee8ad0461df063a44305122a0"},
]
[[package]]
@@ -3015,61 +3014,61 @@ protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.1 || >4.21.1,<4
[[package]]
name = "grpcio"
-version = "1.64.0"
+version = "1.64.1"
description = "HTTP/2-based RPC framework"
optional = false
python-versions = ">=3.8"
files = [
- {file = "grpcio-1.64.0-cp310-cp310-linux_armv7l.whl", hash = "sha256:3b09c3d9de95461214a11d82cc0e6a46a6f4e1f91834b50782f932895215e5db"},
- {file = "grpcio-1.64.0-cp310-cp310-macosx_12_0_universal2.whl", hash = "sha256:7e013428ab472892830287dd082b7d129f4d8afef49227a28223a77337555eaa"},
- {file = "grpcio-1.64.0-cp310-cp310-manylinux_2_17_aarch64.whl", hash = "sha256:02cc9cc3f816d30f7993d0d408043b4a7d6a02346d251694d8ab1f78cc723e7e"},
- {file = "grpcio-1.64.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1f5de082d936e0208ce8db9095821361dfa97af8767a6607ae71425ac8ace15c"},
- {file = "grpcio-1.64.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d7b7bf346391dffa182fba42506adf3a84f4a718a05e445b37824136047686a1"},
- {file = "grpcio-1.64.0-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:b2cbdfba18408389a1371f8c2af1659119e1831e5ed24c240cae9e27b4abc38d"},
- {file = "grpcio-1.64.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:aca4f15427d2df592e0c8f3d38847e25135e4092d7f70f02452c0e90d6a02d6d"},
- {file = "grpcio-1.64.0-cp310-cp310-win32.whl", hash = "sha256:7c1f5b2298244472bcda49b599be04579f26425af0fd80d3f2eb5fd8bc84d106"},
- {file = "grpcio-1.64.0-cp310-cp310-win_amd64.whl", hash = "sha256:73f84f9e5985a532e47880b3924867de16fa1aa513fff9b26106220c253c70c5"},
- {file = "grpcio-1.64.0-cp311-cp311-linux_armv7l.whl", hash = "sha256:2a18090371d138a57714ee9bffd6c9c9cb2e02ce42c681aac093ae1e7189ed21"},
- {file = "grpcio-1.64.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:59c68df3a934a586c3473d15956d23a618b8f05b5e7a3a904d40300e9c69cbf0"},
- {file = "grpcio-1.64.0-cp311-cp311-manylinux_2_17_aarch64.whl", hash = "sha256:b52e1ec7185512103dd47d41cf34ea78e7a7361ba460187ddd2416b480e0938c"},
- {file = "grpcio-1.64.0-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:8d598b5d5e2c9115d7fb7e2cb5508d14286af506a75950762aa1372d60e41851"},
- {file = "grpcio-1.64.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:01615bbcae6875eee8091e6b9414072f4e4b00d8b7e141f89635bdae7cf784e5"},
- {file = "grpcio-1.64.0-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:0b2dfe6dcace264807d9123d483d4c43274e3f8c39f90ff51de538245d7a4145"},
- {file = "grpcio-1.64.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:7f17572dc9acd5e6dfd3014d10c0b533e9f79cd9517fc10b0225746f4c24b58e"},
- {file = "grpcio-1.64.0-cp311-cp311-win32.whl", hash = "sha256:6ec5ed15b4ffe56e2c6bc76af45e6b591c9be0224b3fb090adfb205c9012367d"},
- {file = "grpcio-1.64.0-cp311-cp311-win_amd64.whl", hash = "sha256:597191370951b477b7a1441e1aaa5cacebeb46a3b0bd240ec3bb2f28298c7553"},
- {file = "grpcio-1.64.0-cp312-cp312-linux_armv7l.whl", hash = "sha256:1ce4cd5a61d4532651079e7aae0fedf9a80e613eed895d5b9743e66b52d15812"},
- {file = "grpcio-1.64.0-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:650a8150a9b288f40d5b7c1d5400cc11724eae50bd1f501a66e1ea949173649b"},
- {file = "grpcio-1.64.0-cp312-cp312-manylinux_2_17_aarch64.whl", hash = "sha256:8de0399b983f8676a7ccfdd45e5b2caec74a7e3cc576c6b1eecf3b3680deda5e"},
- {file = "grpcio-1.64.0-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:46b8b43ba6a2a8f3103f103f97996cad507bcfd72359af6516363c48793d5a7b"},
- {file = "grpcio-1.64.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a54362f03d4dcfae63be455d0a7d4c1403673498b92c6bfe22157d935b57c7a9"},
- {file = "grpcio-1.64.0-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:1f8ea18b928e539046bb5f9c124d717fbf00cc4b2d960ae0b8468562846f5aa1"},
- {file = "grpcio-1.64.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:c56c91bd2923ddb6e7ed28ebb66d15633b03e0df22206f22dfcdde08047e0a48"},
- {file = "grpcio-1.64.0-cp312-cp312-win32.whl", hash = "sha256:874c741c8a66f0834f653a69e7e64b4e67fcd4a8d40296919b93bab2ccc780ba"},
- {file = "grpcio-1.64.0-cp312-cp312-win_amd64.whl", hash = "sha256:0da1d921f8e4bcee307aeef6c7095eb26e617c471f8cb1c454fd389c5c296d1e"},
- {file = "grpcio-1.64.0-cp38-cp38-linux_armv7l.whl", hash = "sha256:c46fb6bfca17bfc49f011eb53416e61472fa96caa0979b4329176bdd38cbbf2a"},
- {file = "grpcio-1.64.0-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:3d2004e85cf5213995d09408501f82c8534700d2babeb81dfdba2a3bff0bb396"},
- {file = "grpcio-1.64.0-cp38-cp38-manylinux_2_17_aarch64.whl", hash = "sha256:6d5541eb460d73a07418524fb64dcfe0adfbcd32e2dac0f8f90ce5b9dd6c046c"},
- {file = "grpcio-1.64.0-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1f279ad72dd7d64412e10f2443f9f34872a938c67387863c4cd2fb837f53e7d2"},
- {file = "grpcio-1.64.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:85fda90b81da25993aa47fae66cae747b921f8f6777550895fb62375b776a231"},
- {file = "grpcio-1.64.0-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:a053584079b793a54bece4a7d1d1b5c0645bdbee729215cd433703dc2532f72b"},
- {file = "grpcio-1.64.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:579dd9fb11bc73f0de061cab5f8b2def21480fd99eb3743ed041ad6a1913ee2f"},
- {file = "grpcio-1.64.0-cp38-cp38-win32.whl", hash = "sha256:23b6887bb21d77649d022fa1859e05853fdc2e60682fd86c3db652a555a282e0"},
- {file = "grpcio-1.64.0-cp38-cp38-win_amd64.whl", hash = "sha256:753cb58683ba0c545306f4e17dabf468d29cb6f6b11832e1e432160bb3f8403c"},
- {file = "grpcio-1.64.0-cp39-cp39-linux_armv7l.whl", hash = "sha256:2186d76a7e383e1466e0ea2b0febc343ffeae13928c63c6ec6826533c2d69590"},
- {file = "grpcio-1.64.0-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:0f30596cdcbed3c98024fb4f1d91745146385b3f9fd10c9f2270cbfe2ed7ed91"},
- {file = "grpcio-1.64.0-cp39-cp39-manylinux_2_17_aarch64.whl", hash = "sha256:d9171f025a196f5bcfec7e8e7ffb7c3535f7d60aecd3503f9e250296c7cfc150"},
- {file = "grpcio-1.64.0-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:cf4c8daed18ae2be2f1fc7d613a76ee2a2e28fdf2412d5c128be23144d28283d"},
- {file = "grpcio-1.64.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3550493ac1d23198d46dc9c9b24b411cef613798dc31160c7138568ec26bc9b4"},
- {file = "grpcio-1.64.0-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:3161a8f8bb38077a6470508c1a7301cd54301c53b8a34bb83e3c9764874ecabd"},
- {file = "grpcio-1.64.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:2e8fabe2cc57a369638ab1ad8e6043721014fdf9a13baa7c0e35995d3a4a7618"},
- {file = "grpcio-1.64.0-cp39-cp39-win32.whl", hash = "sha256:31890b24d47b62cc27da49a462efe3d02f3c120edb0e6c46dcc0025506acf004"},
- {file = "grpcio-1.64.0-cp39-cp39-win_amd64.whl", hash = "sha256:5a56797dea8c02e7d3a85dfea879f286175cf4d14fbd9ab3ef2477277b927baa"},
- {file = "grpcio-1.64.0.tar.gz", hash = "sha256:257baf07f53a571c215eebe9679c3058a313fd1d1f7c4eede5a8660108c52d9c"},
+ {file = "grpcio-1.64.1-cp310-cp310-linux_armv7l.whl", hash = "sha256:55697ecec192bc3f2f3cc13a295ab670f51de29884ca9ae6cd6247df55df2502"},
+ {file = "grpcio-1.64.1-cp310-cp310-macosx_12_0_universal2.whl", hash = "sha256:3b64ae304c175671efdaa7ec9ae2cc36996b681eb63ca39c464958396697daff"},
+ {file = "grpcio-1.64.1-cp310-cp310-manylinux_2_17_aarch64.whl", hash = "sha256:bac71b4b28bc9af61efcdc7630b166440bbfbaa80940c9a697271b5e1dabbc61"},
+ {file = "grpcio-1.64.1-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:6c024ffc22d6dc59000faf8ad781696d81e8e38f4078cb0f2630b4a3cf231a90"},
+ {file = "grpcio-1.64.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e7cd5c1325f6808b8ae31657d281aadb2a51ac11ab081ae335f4f7fc44c1721d"},
+ {file = "grpcio-1.64.1-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:0a2813093ddb27418a4c99f9b1c223fab0b053157176a64cc9db0f4557b69bd9"},
+ {file = "grpcio-1.64.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:2981c7365a9353f9b5c864595c510c983251b1ab403e05b1ccc70a3d9541a73b"},
+ {file = "grpcio-1.64.1-cp310-cp310-win32.whl", hash = "sha256:1262402af5a511c245c3ae918167eca57342c72320dffae5d9b51840c4b2f86d"},
+ {file = "grpcio-1.64.1-cp310-cp310-win_amd64.whl", hash = "sha256:19264fc964576ddb065368cae953f8d0514ecc6cb3da8903766d9fb9d4554c33"},
+ {file = "grpcio-1.64.1-cp311-cp311-linux_armv7l.whl", hash = "sha256:58b1041e7c870bb30ee41d3090cbd6f0851f30ae4eb68228955d973d3efa2e61"},
+ {file = "grpcio-1.64.1-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:bbc5b1d78a7822b0a84c6f8917faa986c1a744e65d762ef6d8be9d75677af2ca"},
+ {file = "grpcio-1.64.1-cp311-cp311-manylinux_2_17_aarch64.whl", hash = "sha256:5841dd1f284bd1b3d8a6eca3a7f062b06f1eec09b184397e1d1d43447e89a7ae"},
+ {file = "grpcio-1.64.1-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:8caee47e970b92b3dd948371230fcceb80d3f2277b3bf7fbd7c0564e7d39068e"},
+ {file = "grpcio-1.64.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:73819689c169417a4f978e562d24f2def2be75739c4bed1992435d007819da1b"},
+ {file = "grpcio-1.64.1-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:6503b64c8b2dfad299749cad1b595c650c91e5b2c8a1b775380fcf8d2cbba1e9"},
+ {file = "grpcio-1.64.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:1de403fc1305fd96cfa75e83be3dee8538f2413a6b1685b8452301c7ba33c294"},
+ {file = "grpcio-1.64.1-cp311-cp311-win32.whl", hash = "sha256:d4d29cc612e1332237877dfa7fe687157973aab1d63bd0f84cf06692f04c0367"},
+ {file = "grpcio-1.64.1-cp311-cp311-win_amd64.whl", hash = "sha256:5e56462b05a6f860b72f0fa50dca06d5b26543a4e88d0396259a07dc30f4e5aa"},
+ {file = "grpcio-1.64.1-cp312-cp312-linux_armv7l.whl", hash = "sha256:4657d24c8063e6095f850b68f2d1ba3b39f2b287a38242dcabc166453e950c59"},
+ {file = "grpcio-1.64.1-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:62b4e6eb7bf901719fce0ca83e3ed474ae5022bb3827b0a501e056458c51c0a1"},
+ {file = "grpcio-1.64.1-cp312-cp312-manylinux_2_17_aarch64.whl", hash = "sha256:ee73a2f5ca4ba44fa33b4d7d2c71e2c8a9e9f78d53f6507ad68e7d2ad5f64a22"},
+ {file = "grpcio-1.64.1-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:198908f9b22e2672a998870355e226a725aeab327ac4e6ff3a1399792ece4762"},
+ {file = "grpcio-1.64.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:39b9d0acaa8d835a6566c640f48b50054f422d03e77e49716d4c4e8e279665a1"},
+ {file = "grpcio-1.64.1-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:5e42634a989c3aa6049f132266faf6b949ec2a6f7d302dbb5c15395b77d757eb"},
+ {file = "grpcio-1.64.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:b1a82e0b9b3022799c336e1fc0f6210adc019ae84efb7321d668129d28ee1efb"},
+ {file = "grpcio-1.64.1-cp312-cp312-win32.whl", hash = "sha256:55260032b95c49bee69a423c2f5365baa9369d2f7d233e933564d8a47b893027"},
+ {file = "grpcio-1.64.1-cp312-cp312-win_amd64.whl", hash = "sha256:c1a786ac592b47573a5bb7e35665c08064a5d77ab88a076eec11f8ae86b3e3f6"},
+ {file = "grpcio-1.64.1-cp38-cp38-linux_armv7l.whl", hash = "sha256:a011ac6c03cfe162ff2b727bcb530567826cec85eb8d4ad2bfb4bd023287a52d"},
+ {file = "grpcio-1.64.1-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:4d6dab6124225496010bd22690f2d9bd35c7cbb267b3f14e7a3eb05c911325d4"},
+ {file = "grpcio-1.64.1-cp38-cp38-manylinux_2_17_aarch64.whl", hash = "sha256:a5e771d0252e871ce194d0fdcafd13971f1aae0ddacc5f25615030d5df55c3a2"},
+ {file = "grpcio-1.64.1-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:2c3c1b90ab93fed424e454e93c0ed0b9d552bdf1b0929712b094f5ecfe7a23ad"},
+ {file = "grpcio-1.64.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:20405cb8b13fd779135df23fabadc53b86522d0f1cba8cca0e87968587f50650"},
+ {file = "grpcio-1.64.1-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:0cc79c982ccb2feec8aad0e8fb0d168bcbca85bc77b080d0d3c5f2f15c24ea8f"},
+ {file = "grpcio-1.64.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:a3a035c37ce7565b8f4f35ff683a4db34d24e53dc487e47438e434eb3f701b2a"},
+ {file = "grpcio-1.64.1-cp38-cp38-win32.whl", hash = "sha256:1257b76748612aca0f89beec7fa0615727fd6f2a1ad580a9638816a4b2eb18fd"},
+ {file = "grpcio-1.64.1-cp38-cp38-win_amd64.whl", hash = "sha256:0a12ddb1678ebc6a84ec6b0487feac020ee2b1659cbe69b80f06dbffdb249122"},
+ {file = "grpcio-1.64.1-cp39-cp39-linux_armv7l.whl", hash = "sha256:75dbbf415026d2862192fe1b28d71f209e2fd87079d98470db90bebe57b33179"},
+ {file = "grpcio-1.64.1-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:e3d9f8d1221baa0ced7ec7322a981e28deb23749c76eeeb3d33e18b72935ab62"},
+ {file = "grpcio-1.64.1-cp39-cp39-manylinux_2_17_aarch64.whl", hash = "sha256:5f8b75f64d5d324c565b263c67dbe4f0af595635bbdd93bb1a88189fc62ed2e5"},
+ {file = "grpcio-1.64.1-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c84ad903d0d94311a2b7eea608da163dace97c5fe9412ea311e72c3684925602"},
+ {file = "grpcio-1.64.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:940e3ec884520155f68a3b712d045e077d61c520a195d1a5932c531f11883489"},
+ {file = "grpcio-1.64.1-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:f10193c69fc9d3d726e83bbf0f3d316f1847c3071c8c93d8090cf5f326b14309"},
+ {file = "grpcio-1.64.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:ac15b6c2c80a4d1338b04d42a02d376a53395ddf0ec9ab157cbaf44191f3ffdd"},
+ {file = "grpcio-1.64.1-cp39-cp39-win32.whl", hash = "sha256:03b43d0ccf99c557ec671c7dede64f023c7da9bb632ac65dbc57f166e4970040"},
+ {file = "grpcio-1.64.1-cp39-cp39-win_amd64.whl", hash = "sha256:ed6091fa0adcc7e4ff944090cf203a52da35c37a130efa564ded02b7aff63bcd"},
+ {file = "grpcio-1.64.1.tar.gz", hash = "sha256:8d51dd1c59d5fa0f34266b80a3805ec29a1f26425c2a54736133f6d87fc4968a"},
]
[package.extras]
-protobuf = ["grpcio-tools (>=1.64.0)"]
+protobuf = ["grpcio-tools (>=1.64.1)"]
[[package]]
name = "grpcio-health-checking"
@@ -3545,22 +3544,22 @@ files = [
[[package]]
name = "importlib-metadata"
-version = "7.0.0"
+version = "7.1.0"
description = "Read metadata from Python packages"
optional = false
python-versions = ">=3.8"
files = [
- {file = "importlib_metadata-7.0.0-py3-none-any.whl", hash = "sha256:d97503976bb81f40a193d41ee6570868479c69d5068651eb039c40d850c59d67"},
- {file = "importlib_metadata-7.0.0.tar.gz", hash = "sha256:7fc841f8b8332803464e5dc1c63a2e59121f46ca186c0e2e182e80bf8c1319f7"},
+ {file = "importlib_metadata-7.1.0-py3-none-any.whl", hash = "sha256:30962b96c0c223483ed6cc7280e7f0199feb01a0e40cfae4d4450fc6fab1f570"},
+ {file = "importlib_metadata-7.1.0.tar.gz", hash = "sha256:b78938b926ee8d5f020fc4772d487045805a55ddbad2ecf21c6d60938dc7fcd2"},
]
[package.dependencies]
zipp = ">=0.5"
[package.extras]
-docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"]
+docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
perf = ["ipython"]
-testing = ["flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-perf (>=0.9.2)", "pytest-ruff"]
+testing = ["flufl.flake8", "importlib-resources (>=1.3)", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy", "pytest-perf (>=0.9.2)", "pytest-ruff (>=0.2.1)"]
[[package]]
name = "importlib-resources"
@@ -3637,13 +3636,13 @@ test = ["flaky", "ipyparallel", "pre-commit", "pytest (>=7.0)", "pytest-asyncio
[[package]]
name = "ipython"
-version = "8.24.0"
+version = "8.25.0"
description = "IPython: Productive Interactive Computing"
optional = false
python-versions = ">=3.10"
files = [
- {file = "ipython-8.24.0-py3-none-any.whl", hash = "sha256:d7bf2f6c4314984e3e02393213bab8703cf163ede39672ce5918c51fe253a2a3"},
- {file = "ipython-8.24.0.tar.gz", hash = "sha256:010db3f8a728a578bb641fdd06c063b9fb8e96a9464c63aec6310fbcb5e80501"},
+ {file = "ipython-8.25.0-py3-none-any.whl", hash = "sha256:53eee7ad44df903a06655871cbab66d156a051fd86f3ec6750470ac9604ac1ab"},
+ {file = "ipython-8.25.0.tar.gz", hash = "sha256:c6ed726a140b6e725b911528f80439c534fac915246af3efc39440a6b0f9d716"},
]
[package.dependencies]
@@ -3662,7 +3661,7 @@ typing-extensions = {version = ">=4.6", markers = "python_version < \"3.12\""}
[package.extras]
all = ["ipython[black,doc,kernel,matplotlib,nbconvert,nbformat,notebook,parallel,qtconsole]", "ipython[test,test-extra]"]
black = ["black"]
-doc = ["docrepr", "exceptiongroup", "ipykernel", "ipython[test]", "matplotlib", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "sphinxcontrib-jquery", "stack-data", "typing-extensions"]
+doc = ["docrepr", "exceptiongroup", "intersphinx-registry", "ipykernel", "ipython[test]", "matplotlib", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "sphinxcontrib-jquery", "tomli", "typing-extensions"]
kernel = ["ipykernel"]
matplotlib = ["matplotlib"]
nbconvert = ["nbconvert"]
@@ -3722,72 +3721,72 @@ i18n = ["Babel (>=2.7)"]
[[package]]
name = "jiter"
-version = "0.4.0"
+version = "0.4.1"
description = "Fast iterable JSON parser."
optional = false
python-versions = ">=3.8"
files = [
- {file = "jiter-0.4.0-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:4aa6226d82a4a4505078c0bd5947bad65399635fc5cd4b226512e41753624edf"},
- {file = "jiter-0.4.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:947111ac906740a948e7b63799481acd3d5ef666ccb178d146e25718640b7408"},
- {file = "jiter-0.4.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:69572ffb4e84ae289a7422b9af4ea123cae2ce0772228859b37d4b26b4bc92ea"},
- {file = "jiter-0.4.0-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:ba6046cbb5d1baa5a781b846f7e5438596a332f249a857d63f86ef5d1d9563b0"},
- {file = "jiter-0.4.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d4f346e54602782e66d07df0d1c7389384fd93680052ed6170da2c6dc758409e"},
- {file = "jiter-0.4.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:49110ce693f07e97d61089d894cea05a0b9894d5ccc6ac6fc583028726c8c8af"},
- {file = "jiter-0.4.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2e358df6fd129f3a4e087539f086355ad0107e5da16dbc8bc857d94222eaeed5"},
- {file = "jiter-0.4.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:7eb852ca39a48f3c049def56f0d1771b32e948e4f429a782d14ef4cc64cfd26e"},
- {file = "jiter-0.4.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:44dc045decb2545bffe2da04ea4c36d9438d3f3d49fc47ed423ea75c352b712e"},
- {file = "jiter-0.4.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:413adb15372ac63db04373240f40925788e4282c997eeafc2040530049a0a599"},
- {file = "jiter-0.4.0-cp310-none-win32.whl", hash = "sha256:0b48ea71673a97b897e4b94bbc871e62495a5a85f836c9f90712a4c70aa3ef7e"},
- {file = "jiter-0.4.0-cp310-none-win_amd64.whl", hash = "sha256:6a1c84b44afafaf0ba6223679cf17af664b889da14da31d8af3595fd977d96fa"},
- {file = "jiter-0.4.0-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:b2cc498345fa37ca23fbc20271a553aa46e6eb00924600f49b7dc4b2aa8952ee"},
- {file = "jiter-0.4.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:69f7221ac09ab421abf04f89942026868297c568133998fb181bcf435760cbf3"},
- {file = "jiter-0.4.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ef7d01c52f3e5a56ae73af36bd13797dd1a56711eb522748e5e84d15425b3f10"},
- {file = "jiter-0.4.0-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:39be97d5ce0c4d0dae28c23c03a0af0501a725589427e99763f99c42e18aa402"},
- {file = "jiter-0.4.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:eac2ed1ec1e577b92b7ea2d4e6de8aec0c1164defd8af8affdc8ec0f0ec2904a"},
- {file = "jiter-0.4.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:6258837d184c92c9cb91c983c310ad7269d41afb49d34f00ca9246e073943a03"},
- {file = "jiter-0.4.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:123c2a77b066bf17a4d021e238e8351058cfa56b90ac04f2522d120dc64ea055"},
- {file = "jiter-0.4.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:2df939f792c7a40e55f36700417db551b9f6b84d348990fa0f2c608adeb1f11b"},
- {file = "jiter-0.4.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:cb1b09b16d40cf9ba1d11ba11e5b96ad29286a6a1c4ad5e6a2aef5e352a89f5d"},
- {file = "jiter-0.4.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:0efb4208889ebdbf933bf08dbcbc16e64ffd34c8e2b28044ee142789a9dc3a67"},
- {file = "jiter-0.4.0-cp311-none-win32.whl", hash = "sha256:20545ac1b68e7e5b066a1e8347840c9cebdd02ace65faae2e655fc02ec5c915c"},
- {file = "jiter-0.4.0-cp311-none-win_amd64.whl", hash = "sha256:6b300f9887c8e4431cd03a974ea3e4f9958885636003c3864220a9b2d2f8462b"},
- {file = "jiter-0.4.0-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:923432a0563bbae404ff25bb010e348514a69bfab979f2f8119b23b625dbf6d9"},
- {file = "jiter-0.4.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:ab8bb0ec8b97cec4422dc8b37b525442d969244488c805b834609ab0ccd788e2"},
- {file = "jiter-0.4.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b857adb127b9c533907226791eafa79c5038c3eb5a477984994bf7c4715ba518"},
- {file = "jiter-0.4.0-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:2609cc0d1d8d470e921ff9a604afeb4c701bbe13e00bd9834d5aa6e7ea732a9b"},
- {file = "jiter-0.4.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d39e99f8b7df46a119b6f84321f6ba01f16fa46abfa765d44c05c486d8e66829"},
- {file = "jiter-0.4.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:56de8b518ebfe76a70f856741f6de248ce396c50a87acef827b6e8388e3a502d"},
- {file = "jiter-0.4.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:488b7e777be47f67ce1a1f8f8eb907f9bbd81af5c03784a9bab09d025c250233"},
- {file = "jiter-0.4.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:7ea35e0ecbb5dadd457855eb980dcc548c14cf5341bcd22a43814cb56f2bcc79"},
- {file = "jiter-0.4.0-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:e1a9e9ee69c80b63951c93226b68d0e955953f64fe758bad2afe7ef7f9016af9"},
- {file = "jiter-0.4.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:78e2f3cc2a32a21d43ccc5afcf66f5d17e827ccc4e6d21c0b353bdad2c7dcc9c"},
- {file = "jiter-0.4.0-cp312-none-win32.whl", hash = "sha256:eeaa7a2b47a99f4ebbb4142bb58b95617e09f24c87570f6a57d2770687c9ddbe"},
- {file = "jiter-0.4.0-cp312-none-win_amd64.whl", hash = "sha256:8d4a78b385b93ff59a67215d26000fcb4789a388fca3730d1b60fab17fc81e3c"},
- {file = "jiter-0.4.0-cp38-cp38-macosx_10_12_x86_64.whl", hash = "sha256:ebf20a3fac1089ce26963bf04140da0f803d55332ec69d59c5a87cf1a87d29c4"},
- {file = "jiter-0.4.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:d62244ffc6a168187452277adeefb7b2c30170689c6bf543a51e98e8c17ddab7"},
- {file = "jiter-0.4.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:40b2cde77446a41cec595739fd168be87edff2428eaf7c3438231224dd0ab7a5"},
- {file = "jiter-0.4.0-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:e51fc0a22021ec8905b9b00a2f7d25756f2ff7a653e35a790a2067ae126b51f6"},
- {file = "jiter-0.4.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:a56e6f980b89d7cfe5c43811dcf52d6f37b319428a4540511235dafda9ea7808"},
- {file = "jiter-0.4.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f0fec16adab8d3d3d6d74e3711a1f380836ebeab2a20e3f88cfe2ec5094d8b84"},
- {file = "jiter-0.4.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:19e3de515801c954e8f1dc1f575282a4a86df9e782d4993ea1ed2be9a8dedaa0"},
- {file = "jiter-0.4.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:17e0ad8abf0bb04d81810eaeaab35d2c99b5da11fcd1058e0a389607ff6503b0"},
- {file = "jiter-0.4.0-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:8dc0132b728f3b3e90ff0d1874504cd49c78f3553bf3745168a7fc0b4cf674e1"},
- {file = "jiter-0.4.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:81a883104aa96e494d3d28eaf7070780d03ecee8ccfdfaf7e4899710340c47f1"},
- {file = "jiter-0.4.0-cp38-none-win32.whl", hash = "sha256:a044c53ab1aaa4af624ac9574181b5bad8e260aea7e03104738156511433deba"},
- {file = "jiter-0.4.0-cp38-none-win_amd64.whl", hash = "sha256:d920035c869053e3d9a0b3ff94384d16a8ef5fde3dea55f97bd29916f6e27554"},
- {file = "jiter-0.4.0-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:091e978f4e586a2f1c69bf940d45f4e6a23455877172a0ab7d6de04a3b119299"},
- {file = "jiter-0.4.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:79134b2d601309bcbe3304a262d7d228ad61d53c80883231c637773000a6d683"},
- {file = "jiter-0.4.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c471473e0b05058b5d729ff04271b6d45a575ac8bd9948563268c734b380ac7e"},
- {file = "jiter-0.4.0-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:bb84b8930da8b32b0b1fdff9817e2c4b47e8981b5647ad11c4975403416e4112"},
- {file = "jiter-0.4.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:7f2805e28941751ebfe0948596a64cde4cfb9b84bea5282affd020063e659c96"},
- {file = "jiter-0.4.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:42ef59f9e513bf081a8b5c5578933ea9c3a63e559e6e3501a3e72edcd456ff5e"},
- {file = "jiter-0.4.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3ae12e3906f9e565120ab569de261b738e3a1ec50c40e30c67499e4f893e9a8c"},
- {file = "jiter-0.4.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:264dc1324f45a793bc89af4f653225229eb17bca9ec7107dce6c8fb4fe68d20f"},
- {file = "jiter-0.4.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:9a1c172ec47d846e25881dfbd52438ddb690da4ea04d185e477abd3db6c32f8a"},
- {file = "jiter-0.4.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:ccde31d0bc114aedad0dbd71b7f63ba0f0eecd7ec9ae1926a0ca01c1eb2854e7"},
- {file = "jiter-0.4.0-cp39-none-win32.whl", hash = "sha256:13139b05792fbc13a0f9a5b4c89823ea0874141decae1b8f693f12bb1d28e061"},
- {file = "jiter-0.4.0-cp39-none-win_amd64.whl", hash = "sha256:3a729b2631c6d5551a41069697415fee9659c3eadc9ab87369376ba51930cd00"},
- {file = "jiter-0.4.0.tar.gz", hash = "sha256:68203e02e0419bc3eca717c580c2d8f615aeee1150e2a1fb68d6600a7e52a37c"},
+ {file = "jiter-0.4.1-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:3c2370cd8826b484f3fc6ed729cb58510ba24b4bc277c92323a57d35cf4df223"},
+ {file = "jiter-0.4.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:3587af23140a2eb282bba980010dae60f3b8b1579a034c5e869e9b94220a5972"},
+ {file = "jiter-0.4.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:df8788d34545d47de864032a78bae49a14b66b67196c73cd95f1c1e3081d9c73"},
+ {file = "jiter-0.4.1-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:91bf2d31e906a3ca26fc8ee0cb979e0e51b12aa7e83999c6afea047538f95e5c"},
+ {file = "jiter-0.4.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8586e68702666b6acd919c65f718a09603adcfd8b4c7026bade2441d9e7bd34e"},
+ {file = "jiter-0.4.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:639b766bde088546b5205fd31608502b5b42abee3294b43cc95c6ea8f9a257c3"},
+ {file = "jiter-0.4.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5cb32457296351c98da289d21a092a6c53c75beb80e7127c8e16224ee342c7c7"},
+ {file = "jiter-0.4.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:583263bd81bce5426806cf27ba85e4b97746797fae13c71e50a8689e06e57f81"},
+ {file = "jiter-0.4.1-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:c0e413999a819ccef9b5fd22ef4b9b8c48a98e49da4d09b43ebce286d0d80e26"},
+ {file = "jiter-0.4.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:5e50468d5acfef335ba8bc3892bb304354c38ba18acb3f7ae428451e47136e49"},
+ {file = "jiter-0.4.1-cp310-none-win32.whl", hash = "sha256:b2ac90b94dd717644c61c8ed0c2ec6e9505bd7314b91a1549680d7f1cb8f1da4"},
+ {file = "jiter-0.4.1-cp310-none-win_amd64.whl", hash = "sha256:2509868b8dacf4f65d04b4d951d390f30f403a87a997a14e2db2d232c7a468a7"},
+ {file = "jiter-0.4.1-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:b56e4f2fa5767976f2332e9e067010ddfe1379b6456b5458123ba50657c33e02"},
+ {file = "jiter-0.4.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:f813b49db21c946aa010accc54b8e5c9d0007be252bda4738159fa6c65d6d396"},
+ {file = "jiter-0.4.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c2933c04ebd77b3e9cf34f80ba45c093739c687c9c5a4fd0a8c701a3bfd90940"},
+ {file = "jiter-0.4.1-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:b02ddd65513705ec38211ea48ffc0fde41aa46166d9f7706972daf97b57c8599"},
+ {file = "jiter-0.4.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:88d06af883524e5429d75395bb4ee6ddeda4c30818b2f3e3b8f4afa2dd8f28c0"},
+ {file = "jiter-0.4.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:cd333eca1090cf21e6359721eecbb2a7fe031cc4db3dd595081430b4a59371c5"},
+ {file = "jiter-0.4.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fdc90017cd22dca6b40f2f8518b38363e78aee3cb32f84e1cb08900a598ca91b"},
+ {file = "jiter-0.4.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:aedce5b11ca58853d46461e1880079836bfab4e132be2b7d2093ec193081bbc8"},
+ {file = "jiter-0.4.1-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:e55b2f4d2d5066979b0e0e58d85e3fffd0f6e6a0523aab7e0ce75950259387da"},
+ {file = "jiter-0.4.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:b3c85c586f1cd71c2a1e78756f6857119947b532379bd9be4338bf3dacf1e87f"},
+ {file = "jiter-0.4.1-cp311-none-win32.whl", hash = "sha256:37875f56222f2bb61410e15196d9b91510ccca322c391f3d20c91d667130d15e"},
+ {file = "jiter-0.4.1-cp311-none-win_amd64.whl", hash = "sha256:b71758befea8dbdc10e0fb40a776e085eed0e74afef42468ebb58562289e9190"},
+ {file = "jiter-0.4.1-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:93a8869c18a3721e41d7adb289c5c71aea8887eb368a3411219a0afb62955cbe"},
+ {file = "jiter-0.4.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:0ffbc61349f2f27676d40d68e8ef83fc2a9dd2c1464962b1d1b1d8504bccbf85"},
+ {file = "jiter-0.4.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b5f1f33e9fd4de4369a8d00fdf2571a8246a942095fb2a9d4cd25135ee675c85"},
+ {file = "jiter-0.4.1-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:d8f91a19eba23b4a1bb1e5b64c19cfdbf46604180e5dee40548b53ca13afd2d9"},
+ {file = "jiter-0.4.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:2a60f8e495448d8e02d291fa9a8522cfe775a10210ba428994f383965e6f6e65"},
+ {file = "jiter-0.4.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:7387998c6585ce0f02ae4f5338fabf72b99494860c347f27bc34720290eafb15"},
+ {file = "jiter-0.4.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c7cbf41da6506b42db21a1a0befa48e16384591e84e80db002a826ccf07668f1"},
+ {file = "jiter-0.4.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:793ae2499722b9fc31e300abd07418902512109bca17f617598a31a9e17bddce"},
+ {file = "jiter-0.4.1-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:19f7953b8ada7ee109764ad91d4afb1a9f69b77cde0b890844744c513612dbf8"},
+ {file = "jiter-0.4.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:dcd3d6a142d7b267a8c5f1e28d02759e2e29343b095f6d8aaf463333a842e1f8"},
+ {file = "jiter-0.4.1-cp312-none-win32.whl", hash = "sha256:fffdf137c3ab7f0c5facb7c478b57ad3e1eb9b149daff48687844de77b78ab70"},
+ {file = "jiter-0.4.1-cp312-none-win_amd64.whl", hash = "sha256:fde004e47a801512c4167f188a6372960374fbd59e635753b3ee536e81953eb3"},
+ {file = "jiter-0.4.1-cp38-cp38-macosx_10_12_x86_64.whl", hash = "sha256:b429ba25e05ca28d5e7efa4249032746ac28ec6ad68017ed3ea009989c597911"},
+ {file = "jiter-0.4.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:27df9925d0282c80bdd41613ace7cd799bd6355acdfe25cc48ec16843541999e"},
+ {file = "jiter-0.4.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:eb68736a0e2b00eda83937c1937f999e8d7dab68820c04343ac2e2eb2c5c2193"},
+ {file = "jiter-0.4.1-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:c218458ac32ce0b495f013293867649b40c067a4d7533fa0d70a46f7194febae"},
+ {file = "jiter-0.4.1-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ebead86e80e352753f6e6f78ca96c12d764a8dbbc7c4b25938ce657ab0e4e879"},
+ {file = "jiter-0.4.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5bf58f878d43294bea400a9df86ef7796dd2e67969109bce22d337ca77372c69"},
+ {file = "jiter-0.4.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ba671e60570cd99b8ed83ce0d82703040dc34c793229ac607f09683ba1981163"},
+ {file = "jiter-0.4.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:ef0bd8b68ad14f045544989b6ad3758bee6dc01f6924bce5b4fd7060b0a09b1b"},
+ {file = "jiter-0.4.1-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:7888f165a0fe285e015ee18cfcb8b5432c4fa389235b4c24c339ca0cc51ba979"},
+ {file = "jiter-0.4.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:7d9c443b2a71a8c3ab6578f5faf7725ad5f63dbb92d87f820eec56de9da0560f"},
+ {file = "jiter-0.4.1-cp38-none-win32.whl", hash = "sha256:6f618d1b04493bc9196e466ef59e0a6388eb85e936d1a61833449677643bbdd9"},
+ {file = "jiter-0.4.1-cp38-none-win_amd64.whl", hash = "sha256:46b6364a0b2a81cc259768bda131e8528aa3af4312f23f7e10aa04d24f54bbb1"},
+ {file = "jiter-0.4.1-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:6680785a9273a87e463c86a962042d620c00c7bb8100dde1a4c78b2184cdd613"},
+ {file = "jiter-0.4.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:36b10d945b9ccd2e9f2720e37395daf9e63cfa47e5e0e2887c4931888f0800cd"},
+ {file = "jiter-0.4.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:78820599693bda34be17119abf9fad1f02e501b4816e47addbee9c5c768fb361"},
+ {file = "jiter-0.4.1-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:68697317170d8f851dfe978ba278b886e54e837ecd2a80c4a33ae780a0f19526"},
+ {file = "jiter-0.4.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d126ffc3876cfc1fba6ae2be37f2532b5db593a96cf4b845724b50b44339c4fd"},
+ {file = "jiter-0.4.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b082223f2e7e6f506d837df935f58f25cabf0a2b35902b4ec73fb561fbf2694a"},
+ {file = "jiter-0.4.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:13314287782782be8439dfafca50f13fcab18046227068a3a8e8d8ac888f092b"},
+ {file = "jiter-0.4.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:3da1346375605926f1ca4604d154ff41f5e3b933c6e01005e534bca2197d919f"},
+ {file = "jiter-0.4.1-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:9b67a97fbce3ec35ee97439c8b786393f71ecbe7458d5e9279d4c172772eac36"},
+ {file = "jiter-0.4.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:7b0f34544923bff0f3393aa3d60087686d86089c9361f6530bb5d19ebfb3db47"},
+ {file = "jiter-0.4.1-cp39-none-win32.whl", hash = "sha256:b0c93ef95b896a4ce5edff23071e4dcad77c9e9262fcb6ca2b050f781e8335a9"},
+ {file = "jiter-0.4.1-cp39-none-win_amd64.whl", hash = "sha256:3db5c83c8655ce031943b6f08434dac1a91e1477b0df452de0c44f3390a9b22c"},
+ {file = "jiter-0.4.1.tar.gz", hash = "sha256:741851cf5f37cf3583f2a56829d734c9fd17334770c9a326e6d25291603d4278"},
]
[[package]]
@@ -4021,13 +4020,13 @@ adal = ["adal (>=1.0.2)"]
[[package]]
name = "langchain"
-version = "0.2.1"
+version = "0.2.2"
description = "Building applications with LLMs through composability"
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
- {file = "langchain-0.2.1-py3-none-any.whl", hash = "sha256:3e13bf97c5717bce2c281f5117e8778823e8ccf62d949e73d3869448962b1c97"},
- {file = "langchain-0.2.1.tar.gz", hash = "sha256:5758a315e1ac92eb26dafec5ad0fafa03cafa686aba197d5bb0b1dd28cc03ebe"},
+ {file = "langchain-0.2.2-py3-none-any.whl", hash = "sha256:58ca0c47bcdd156da66f50a0a4fcedc49bf6950827f4a6b06c8c4842d55805f3"},
+ {file = "langchain-0.2.2.tar.gz", hash = "sha256:9d61e50e9cdc2bea659bc5e6c03650ba048fda63a307490ae368e539f61a0d3a"},
]
[package.dependencies]
@@ -4059,33 +4058,33 @@ text-helpers = ["chardet (>=5.1.0,<6.0.0)"]
[[package]]
name = "langchain-anthropic"
-version = "0.1.13"
+version = "0.1.15"
description = "An integration package connecting AnthropicMessages and LangChain"
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
- {file = "langchain_anthropic-0.1.13-py3-none-any.whl", hash = "sha256:121f6f480da7685c239573d98322adb94fe486d40651ac341637f65da36881de"},
- {file = "langchain_anthropic-0.1.13.tar.gz", hash = "sha256:32e7ac51e1874c47e1a20493e75f5bfc88b0ffeaf5f1aed6091547e1ae44bb85"},
+ {file = "langchain_anthropic-0.1.15-py3-none-any.whl", hash = "sha256:7cceea526f473e4d514f39295dc128eec57da628a4bbb54850d11dda7aa959fc"},
+ {file = "langchain_anthropic-0.1.15.tar.gz", hash = "sha256:c5c3c6eaccb11ed99a63886e50873ac21eaf8e9441e0f75c7ae7cd8cdef65155"},
]
[package.dependencies]
-anthropic = ">=0.26.0,<1"
+anthropic = ">=0.28.0,<1"
defusedxml = ">=0.7.1,<0.8.0"
-langchain-core = ">=0.1.43,<0.3"
+langchain-core = ">=0.2.2rc1,<0.3"
[[package]]
name = "langchain-astradb"
-version = "0.3.2"
+version = "0.3.3"
description = "An integration package connecting Astra DB and LangChain"
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
- {file = "langchain_astradb-0.3.2-py3-none-any.whl", hash = "sha256:15afc5c0105e863e8f57bf8686490c00be47ed05e47d3263ad1577f2031c0dd5"},
- {file = "langchain_astradb-0.3.2.tar.gz", hash = "sha256:4316f2c59402779a347a811e1b5470a0570348cb89baac17472d860b63188122"},
+ {file = "langchain_astradb-0.3.3-py3-none-any.whl", hash = "sha256:39deef1253947ef1bfaf3c27881ecdf07621d96c2cf37814aed9e506a9bee217"},
+ {file = "langchain_astradb-0.3.3.tar.gz", hash = "sha256:f9a996ec4bef134896195430adeb7f264389c368a03d2ea91356837e8ddde091"},
]
[package.dependencies]
-astrapy = ">=1,<2"
+astrapy = ">=1.2,<2.0"
langchain-core = ">=0.1.31,<0.3"
numpy = ">=1,<2"
@@ -4123,13 +4122,13 @@ langchain-core = ">=0.1.42,<0.3"
[[package]]
name = "langchain-community"
-version = "0.2.1"
+version = "0.2.3"
description = "Community contributed LangChain integrations."
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
- {file = "langchain_community-0.2.1-py3-none-any.whl", hash = "sha256:b834e2c5ded6903b839fcaf566eee90a0ffae53405a0f7748202725e701d39cd"},
- {file = "langchain_community-0.2.1.tar.gz", hash = "sha256:079942e8f15da975769ccaae19042b7bba5481c42020bbbd7d8cad73a9393261"},
+ {file = "langchain_community-0.2.3-py3-none-any.whl", hash = "sha256:aa895545be2f3f4aa2fea36f6da2e3b4ec50ce61ec986e8f146901a1e9138138"},
+ {file = "langchain_community-0.2.3.tar.gz", hash = "sha256:a3c35af215e47b700e7cb4e548fa8b45c6d46d52b5a5a65af2577c5a0104fc9f"},
]
[package.dependencies]
@@ -4146,22 +4145,22 @@ tenacity = ">=8.1.0,<9.0.0"
[package.extras]
cli = ["typer (>=0.9.0,<0.10.0)"]
-extended-testing = ["aiosqlite (>=0.19.0,<0.20.0)", "aleph-alpha-client (>=2.15.0,<3.0.0)", "anthropic (>=0.3.11,<0.4.0)", "arxiv (>=1.4,<2.0)", "assemblyai (>=0.17.0,<0.18.0)", "atlassian-python-api (>=3.36.0,<4.0.0)", "azure-ai-documentintelligence (>=1.0.0b1,<2.0.0)", "azure-identity (>=1.15.0,<2.0.0)", "azure-search-documents (==11.4.0)", "beautifulsoup4 (>=4,<5)", "bibtexparser (>=1.4.0,<2.0.0)", "cassio (>=0.1.6,<0.2.0)", "chardet (>=5.1.0,<6.0.0)", "cloudpathlib (>=0.18,<0.19)", "cloudpickle (>=2.0.0)", "cohere (>=4,<5)", "databricks-vectorsearch (>=0.21,<0.22)", "datasets (>=2.15.0,<3.0.0)", "dgml-utils (>=0.3.0,<0.4.0)", "elasticsearch (>=8.12.0,<9.0.0)", "esprima (>=4.0.1,<5.0.0)", "faiss-cpu (>=1,<2)", "feedparser (>=6.0.10,<7.0.0)", "fireworks-ai (>=0.9.0,<0.10.0)", "friendli-client (>=1.2.4,<2.0.0)", "geopandas (>=0.13.1,<0.14.0)", "gitpython (>=3.1.32,<4.0.0)", "google-cloud-documentai (>=2.20.1,<3.0.0)", "gql (>=3.4.1,<4.0.0)", "gradientai (>=1.4.0,<2.0.0)", "hdbcli (>=2.19.21,<3.0.0)", "hologres-vector (>=0.0.6,<0.0.7)", "html2text (>=2020.1.16,<2021.0.0)", "httpx (>=0.24.1,<0.25.0)", "httpx-sse (>=0.4.0,<0.5.0)", "javelin-sdk (>=0.1.8,<0.2.0)", "jinja2 (>=3,<4)", "jq (>=1.4.1,<2.0.0)", "jsonschema (>1)", "lxml (>=4.9.3,<6.0)", "markdownify (>=0.11.6,<0.12.0)", "motor (>=3.3.1,<4.0.0)", "msal (>=1.25.0,<2.0.0)", "mwparserfromhell (>=0.6.4,<0.7.0)", "mwxml (>=0.3.3,<0.4.0)", "newspaper3k (>=0.2.8,<0.3.0)", "numexpr (>=2.8.6,<3.0.0)", "nvidia-riva-client (>=2.14.0,<3.0.0)", "oci (>=2.119.1,<3.0.0)", "openai (<2)", "openapi-pydantic (>=0.3.2,<0.4.0)", "oracle-ads (>=2.9.1,<3.0.0)", "oracledb (>=2.2.0,<3.0.0)", "pandas (>=2.0.1,<3.0.0)", "pdfminer-six (>=20221105,<20221106)", "pgvector (>=0.1.6,<0.2.0)", "praw (>=7.7.1,<8.0.0)", "premai (>=0.3.25,<0.4.0)", "psychicapi (>=0.8.0,<0.9.0)", "py-trello (>=0.19.0,<0.20.0)", "pyjwt (>=2.8.0,<3.0.0)", "pymupdf (>=1.22.3,<2.0.0)", "pypdf (>=3.4.0,<4.0.0)", "pypdfium2 (>=4.10.0,<5.0.0)", "pyspark (>=3.4.0,<4.0.0)", "rank-bm25 (>=0.2.2,<0.3.0)", "rapidfuzz (>=3.1.1,<4.0.0)", "rapidocr-onnxruntime (>=1.3.2,<2.0.0)", "rdflib (==7.0.0)", "requests-toolbelt (>=1.0.0,<2.0.0)", "rspace_client (>=2.5.0,<3.0.0)", "scikit-learn (>=1.2.2,<2.0.0)", "sqlite-vss (>=0.1.2,<0.2.0)", "streamlit (>=1.18.0,<2.0.0)", "sympy (>=1.12,<2.0)", "telethon (>=1.28.5,<2.0.0)", "tidb-vector (>=0.0.3,<1.0.0)", "timescale-vector (>=0.0.1,<0.0.2)", "tqdm (>=4.48.0)", "tree-sitter (>=0.20.2,<0.21.0)", "tree-sitter-languages (>=1.8.0,<2.0.0)", "upstash-redis (>=0.15.0,<0.16.0)", "vdms (>=0.0.20,<0.0.21)", "xata (>=1.0.0a7,<2.0.0)", "xmltodict (>=0.13.0,<0.14.0)"]
+extended-testing = ["aiosqlite (>=0.19.0,<0.20.0)", "aleph-alpha-client (>=2.15.0,<3.0.0)", "anthropic (>=0.3.11,<0.4.0)", "arxiv (>=1.4,<2.0)", "assemblyai (>=0.17.0,<0.18.0)", "atlassian-python-api (>=3.36.0,<4.0.0)", "azure-ai-documentintelligence (>=1.0.0b1,<2.0.0)", "azure-identity (>=1.15.0,<2.0.0)", "azure-search-documents (==11.4.0)", "beautifulsoup4 (>=4,<5)", "bibtexparser (>=1.4.0,<2.0.0)", "cassio (>=0.1.6,<0.2.0)", "chardet (>=5.1.0,<6.0.0)", "cloudpathlib (>=0.18,<0.19)", "cloudpickle (>=2.0.0)", "cohere (>=4,<5)", "databricks-vectorsearch (>=0.21,<0.22)", "datasets (>=2.15.0,<3.0.0)", "dgml-utils (>=0.3.0,<0.4.0)", "elasticsearch (>=8.12.0,<9.0.0)", "esprima (>=4.0.1,<5.0.0)", "faiss-cpu (>=1,<2)", "feedparser (>=6.0.10,<7.0.0)", "fireworks-ai (>=0.9.0,<0.10.0)", "friendli-client (>=1.2.4,<2.0.0)", "geopandas (>=0.13.1,<0.14.0)", "gitpython (>=3.1.32,<4.0.0)", "google-cloud-documentai (>=2.20.1,<3.0.0)", "gql (>=3.4.1,<4.0.0)", "gradientai (>=1.4.0,<2.0.0)", "hdbcli (>=2.19.21,<3.0.0)", "hologres-vector (>=0.0.6,<0.0.7)", "html2text (>=2020.1.16,<2021.0.0)", "httpx (>=0.24.1,<0.25.0)", "httpx-sse (>=0.4.0,<0.5.0)", "javelin-sdk (>=0.1.8,<0.2.0)", "jinja2 (>=3,<4)", "jq (>=1.4.1,<2.0.0)", "jsonschema (>1)", "lxml (>=4.9.3,<6.0)", "markdownify (>=0.11.6,<0.12.0)", "motor (>=3.3.1,<4.0.0)", "msal (>=1.25.0,<2.0.0)", "mwparserfromhell (>=0.6.4,<0.7.0)", "mwxml (>=0.3.3,<0.4.0)", "newspaper3k (>=0.2.8,<0.3.0)", "numexpr (>=2.8.6,<3.0.0)", "nvidia-riva-client (>=2.14.0,<3.0.0)", "oci (>=2.119.1,<3.0.0)", "openai (<2)", "openapi-pydantic (>=0.3.2,<0.4.0)", "oracle-ads (>=2.9.1,<3.0.0)", "oracledb (>=2.2.0,<3.0.0)", "pandas (>=2.0.1,<3.0.0)", "pdfminer-six (>=20221105,<20221106)", "pgvector (>=0.1.6,<0.2.0)", "praw (>=7.7.1,<8.0.0)", "premai (>=0.3.25,<0.4.0)", "psychicapi (>=0.8.0,<0.9.0)", "py-trello (>=0.19.0,<0.20.0)", "pyjwt (>=2.8.0,<3.0.0)", "pymupdf (>=1.22.3,<2.0.0)", "pypdf (>=3.4.0,<4.0.0)", "pypdfium2 (>=4.10.0,<5.0.0)", "pyspark (>=3.4.0,<4.0.0)", "rank-bm25 (>=0.2.2,<0.3.0)", "rapidfuzz (>=3.1.1,<4.0.0)", "rapidocr-onnxruntime (>=1.3.2,<2.0.0)", "rdflib (==7.0.0)", "requests-toolbelt (>=1.0.0,<2.0.0)", "rspace_client (>=2.5.0,<3.0.0)", "scikit-learn (>=1.2.2,<2.0.0)", "simsimd (>=4.3.1,<5.0.0)", "sqlite-vss (>=0.1.2,<0.2.0)", "streamlit (>=1.18.0,<2.0.0)", "sympy (>=1.12,<2.0)", "telethon (>=1.28.5,<2.0.0)", "tidb-vector (>=0.0.3,<1.0.0)", "timescale-vector (>=0.0.1,<0.0.2)", "tqdm (>=4.48.0)", "tree-sitter (>=0.20.2,<0.21.0)", "tree-sitter-languages (>=1.8.0,<2.0.0)", "upstash-redis (>=0.15.0,<0.16.0)", "vdms (>=0.0.20,<0.0.21)", "xata (>=1.0.0a7,<2.0.0)", "xmltodict (>=0.13.0,<0.14.0)"]
[[package]]
name = "langchain-core"
-version = "0.2.1"
+version = "0.2.4"
description = "Building applications with LLMs through composability"
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
- {file = "langchain_core-0.2.1-py3-none-any.whl", hash = "sha256:3521e1e573988c47399fca9739270c5d34f8ecec147253ad829eb9ff288f76d5"},
- {file = "langchain_core-0.2.1.tar.gz", hash = "sha256:49383126168d934559a543ce812c485048d9e6ac9b6798fbf3d4a72b6bba5b0c"},
+ {file = "langchain_core-0.2.4-py3-none-any.whl", hash = "sha256:5212f7ec78a525e88a178ed3aefe2fd7134b03fb92573dfbab9914f1d92d6ec5"},
+ {file = "langchain_core-0.2.4.tar.gz", hash = "sha256:82bdcc546eb0341cefcf1f4ecb3e49836fff003903afddda2d1312bb8491ef81"},
]
[package.dependencies]
jsonpatch = ">=1.33,<2.0"
-langsmith = ">=0.1.0,<0.2.0"
+langsmith = ">=0.1.66,<0.2.0"
packaging = ">=23.2,<24.0"
pydantic = ">=1,<3"
PyYAML = ">=5.3"
@@ -4172,13 +4171,13 @@ extended-testing = ["jinja2 (>=3,<4)"]
[[package]]
name = "langchain-experimental"
-version = "0.0.59"
+version = "0.0.60"
description = "Building applications with LLMs through composability"
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
- {file = "langchain_experimental-0.0.59-py3-none-any.whl", hash = "sha256:d6ceb586c15ad35fc619542e86d01f0984a94985324a78a9ed8cd87615ff265d"},
- {file = "langchain_experimental-0.0.59.tar.gz", hash = "sha256:3a93f5c328f6ee1cd4f9dd8792c535df2d5638cff0d778ee25546804b5282fda"},
+ {file = "langchain_experimental-0.0.60-py3-none-any.whl", hash = "sha256:ef3b6b6b84fe2bfe19eba6d1a98005e27d96576514c6415f5afe4ace5bf477d8"},
+ {file = "langchain_experimental-0.0.60.tar.gz", hash = "sha256:a16cbcd18cda6b86be8f41fed7963c13569295def0d8b4c6324b806d878d442c"},
]
[package.dependencies]
@@ -4190,50 +4189,50 @@ extended-testing = ["faker (>=19.3.1,<20.0.0)", "jinja2 (>=3,<4)", "pandas (>=2.
[[package]]
name = "langchain-google-genai"
-version = "1.0.5"
+version = "1.0.6"
description = "An integration package connecting Google's genai package and LangChain"
optional = false
python-versions = "<4.0,>=3.9"
files = [
- {file = "langchain_google_genai-1.0.5-py3-none-any.whl", hash = "sha256:06b1af072e14fe2d4f9257be4bf883ccd544896094f847c2b1ab09b123ba3b9e"},
- {file = "langchain_google_genai-1.0.5.tar.gz", hash = "sha256:5b515192755fd396a1b61b33d1b08c77fb9b53394cc25954f9d7e9a0f615de9b"},
+ {file = "langchain_google_genai-1.0.6-py3-none-any.whl", hash = "sha256:65188b3c2867efda78e09c29371499ab0d25c6a111b175365fdae2b5be1502e6"},
+ {file = "langchain_google_genai-1.0.6.tar.gz", hash = "sha256:7c964117fa385c490b323ee50ab46907229823d3678b80bfacc8fa0a237fb0b9"},
]
[package.dependencies]
google-generativeai = ">=0.5.2,<0.6.0"
-langchain-core = ">=0.2.0,<0.3"
+langchain-core = ">=0.2.2,<0.3"
[package.extras]
images = ["pillow (>=10.1.0,<11.0.0)"]
[[package]]
name = "langchain-google-vertexai"
-version = "1.0.4"
+version = "1.0.5"
description = "An integration package connecting Google VertexAI and LangChain"
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
- {file = "langchain_google_vertexai-1.0.4-py3-none-any.whl", hash = "sha256:f9d217df2d5cfafb2e551ddd5f1c43611222f542ee0df0cc3b5faed82e657ee3"},
- {file = "langchain_google_vertexai-1.0.4.tar.gz", hash = "sha256:bb2d2e93cc2896b9bdc96789c2df247f6392184dffc0c3dddc06889f2b530465"},
+ {file = "langchain_google_vertexai-1.0.5-py3-none-any.whl", hash = "sha256:38f4a39bf35927d744d0883907c4d4a59eef059e9b36f28bb5c737c2aae6963b"},
+ {file = "langchain_google_vertexai-1.0.5.tar.gz", hash = "sha256:50005dc12ff9d66bbbab9e1ab660574b1584eee3e7b5a647dc8a009a94f0c500"},
]
[package.dependencies]
google-cloud-aiplatform = ">=1.47.0,<2.0.0"
google-cloud-storage = ">=2.14.0,<3.0.0"
-langchain-core = ">=0.1.42,<0.3"
+langchain-core = ">=0.2.2,<0.3"
[package.extras]
anthropic = ["anthropic[vertexai] (>=0.23.0,<1)"]
[[package]]
name = "langchain-groq"
-version = "0.1.4"
+version = "0.1.5"
description = "An integration package connecting Groq and LangChain"
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
- {file = "langchain_groq-0.1.4-py3-none-any.whl", hash = "sha256:83fa9252eb841dc29e7c0b77c5374fa26383b909c2e87eb54824ff0f9529f173"},
- {file = "langchain_groq-0.1.4.tar.gz", hash = "sha256:eb7e517cfcb245b0b598f93c1e87cc15100e336eb0c1b930c43e7a19dbe131d6"},
+ {file = "langchain_groq-0.1.5-py3-none-any.whl", hash = "sha256:f13fbec6143047a352ff2bbd2241e4b4b9559c6f799a26e6da5f2b0d6e02bff5"},
+ {file = "langchain_groq-0.1.5.tar.gz", hash = "sha256:af166fd30c60006dba4345bc9a59edfa2745edcb5b3e0bd957abd3d09416bbc5"},
]
[package.dependencies]
@@ -4242,35 +4241,35 @@ langchain-core = ">=0.1.45,<0.3"
[[package]]
name = "langchain-mistralai"
-version = "0.1.7"
+version = "0.1.8"
description = "An integration package connecting Mistral and LangChain"
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
- {file = "langchain_mistralai-0.1.7-py3-none-any.whl", hash = "sha256:4ab08ebafc5398767dbc4d6d371f4f2bc0974b01b02cb0ee71d351871a370479"},
- {file = "langchain_mistralai-0.1.7.tar.gz", hash = "sha256:44d3fb15ab10b5a04a2cc544d1292af3f884288a59de08a8d7bdd74ce50ddf75"},
+ {file = "langchain_mistralai-0.1.8-py3-none-any.whl", hash = "sha256:476ae501d6a62ebc1e612e11abff27ae4ac6b108834f34450c504295687f78a6"},
+ {file = "langchain_mistralai-0.1.8.tar.gz", hash = "sha256:dc328f7aedfd9e88eeb79de5692dfc3907793b82ef59f0d6722d19c1c8bfcdc2"},
]
[package.dependencies]
httpx = ">=0.25.2,<1"
httpx-sse = ">=0.3.1,<1"
-langchain-core = ">=0.1.46,<0.3"
+langchain-core = ">=0.2.0,<0.3"
tokenizers = ">=0.15.1,<1"
[[package]]
name = "langchain-openai"
-version = "0.1.7"
+version = "0.1.8"
description = "An integration package connecting OpenAI and LangChain"
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
- {file = "langchain_openai-0.1.7-py3-none-any.whl", hash = "sha256:39c3cb22bb739900ae8294d4d9939a6138c0ca7ad11198e57038eb14c08d04ec"},
- {file = "langchain_openai-0.1.7.tar.gz", hash = "sha256:fd7e1c33ba8e2cab4b2154f3a2fd4a0d9cc6518b41cf49bb87255f9f732a4896"},
+ {file = "langchain_openai-0.1.8-py3-none-any.whl", hash = "sha256:8125c84223e9f43b05defbca64eedbcf362fd78a680de6c25e64f973b34a8063"},
+ {file = "langchain_openai-0.1.8.tar.gz", hash = "sha256:a11fcce15def7917c44232abda6baaa63dfc79fe44be1531eea650d39a44cd95"},
]
[package.dependencies]
-langchain-core = ">=0.1.46,<0.3"
-openai = ">=1.24.0,<2.0.0"
+langchain-core = ">=0.2.2,<0.3"
+openai = ">=1.26.0,<2.0.0"
tiktoken = ">=0.7,<1"
[[package]]
@@ -4291,13 +4290,13 @@ pinecone-client = ">=3.2.2,<4.0.0"
[[package]]
name = "langchain-text-splitters"
-version = "0.2.0"
+version = "0.2.1"
description = "LangChain text splitting utilities"
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
- {file = "langchain_text_splitters-0.2.0-py3-none-any.whl", hash = "sha256:7b4c6a45f8471630a882b321e138329b6897102a5bc62f4c12be1c0b05bb9199"},
- {file = "langchain_text_splitters-0.2.0.tar.gz", hash = "sha256:b32ab4f7397f7d42c1fa3283fefc2547ba356bd63a68ee9092865e5ad83c82f9"},
+ {file = "langchain_text_splitters-0.2.1-py3-none-any.whl", hash = "sha256:c2774a85f17189eaca50339629d2316d13130d4a8d9f1a1a96f3a03670c4a138"},
+ {file = "langchain_text_splitters-0.2.1.tar.gz", hash = "sha256:06853d17d7241ecf5c97c7b6ef01f600f9b0fb953dd997838142a527a4f32ea4"},
]
[package.dependencies]
@@ -4308,13 +4307,13 @@ extended-testing = ["beautifulsoup4 (>=4.12.3,<5.0.0)", "lxml (>=4.9.3,<6.0)"]
[[package]]
name = "langchainhub"
-version = "0.1.16"
+version = "0.1.17"
description = "The LangChain Hub API client"
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
- {file = "langchainhub-0.1.16-py3-none-any.whl", hash = "sha256:a4379a1879cc6b441b8d02cc65e28a54f160fba61c9d1d4b0eddc3a276dff99a"},
- {file = "langchainhub-0.1.16.tar.gz", hash = "sha256:9f11e68fddb575e70ef4b28800eedbd9eeb180ba508def04f7153ea5b246b6fc"},
+ {file = "langchainhub-0.1.17-py3-none-any.whl", hash = "sha256:4c609b3948252c71670f0d98f73413b515cfd2f6701a7b40ce959203e6133e04"},
+ {file = "langchainhub-0.1.17.tar.gz", hash = "sha256:af7df0cb1cebc7a6e0864e8632ae48ecad39ed96568f699c78657b9d04e50b46"},
]
[package.dependencies]
@@ -4323,7 +4322,7 @@ types-requests = ">=2.31.0.2,<3.0.0.0"
[[package]]
name = "langflow-base"
-version = "0.0.49"
+version = "0.0.57"
description = "A Python package with a built-in web application"
optional = false
python-versions = ">=3.10,<3.13"
@@ -4365,7 +4364,8 @@ python-socketio = "^5.11.0"
rich = "^13.7.0"
sqlmodel = "^0.0.18"
typer = "^0.12.0"
-uvicorn = "^0.29.0"
+uncurl = "^0.0.11"
+uvicorn = "^0.30.0"
websockets = "*"
[package.extras]
@@ -4379,13 +4379,13 @@ url = "src/backend/base"
[[package]]
name = "langfuse"
-version = "2.33.0"
+version = "2.34.1"
description = "A client library for accessing langfuse"
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
- {file = "langfuse-2.33.0-py3-none-any.whl", hash = "sha256:362e3078c5a891df0b7ba3c9ce82f046d1f0274eab3d55337e443fff526f18ad"},
- {file = "langfuse-2.33.0.tar.gz", hash = "sha256:3ca2ef8539a8f28cb80135f4b46b80d5585ce183f8e2035f318be296d09d7d88"},
+ {file = "langfuse-2.34.1-py3-none-any.whl", hash = "sha256:2bb76d8ead3837798fc1b43e74b012cfca6cf8f433be36e0d53e7498a8b9ba6f"},
+ {file = "langfuse-2.34.1.tar.gz", hash = "sha256:c40220b66a8ba429a4b23d42e02fcfbbe9bd755615f6410854eef1454c36f6ff"},
]
[package.dependencies]
@@ -4403,13 +4403,13 @@ openai = ["openai (>=0.27.8)"]
[[package]]
name = "langsmith"
-version = "0.1.63"
+version = "0.1.72"
description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
- {file = "langsmith-0.1.63-py3-none-any.whl", hash = "sha256:7810afdf5e3f3b472fc581a29371fb96cd843dde2149e048d1b9610325159d1e"},
- {file = "langsmith-0.1.63.tar.gz", hash = "sha256:a609405b52f6f54df442a142cbf19ab38662d54e532f96028b4c546434d4afdf"},
+ {file = "langsmith-0.1.72-py3-none-any.whl", hash = "sha256:a4456707669521bd75b7431b9205a6b99579fb9ff01bd338f52d29df11a7662d"},
+ {file = "langsmith-0.1.72.tar.gz", hash = "sha256:262ae9e8aceaba50f3a0f5b6eb559d6110886f0afc6b0ed5270e7d3d3f1fd8d6"},
]
[package.dependencies]
@@ -4419,13 +4419,13 @@ requests = ">=2,<3"
[[package]]
name = "litellm"
-version = "1.38.10"
+version = "1.40.2"
description = "Library to easily interface with LLM API providers"
optional = false
python-versions = "!=2.7.*,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,!=3.7.*,>=3.8"
files = [
- {file = "litellm-1.38.10-py3-none-any.whl", hash = "sha256:4d33465eacde566832b9d7aa7677476e61aa7ba4ec26631fb1c8411c87219ed1"},
- {file = "litellm-1.38.10.tar.gz", hash = "sha256:1a0b3088fe4b072f367343a7d7d25e4c5f9990975d9ee7dbf21f3b25ff046bb0"},
+ {file = "litellm-1.40.2-py3-none-any.whl", hash = "sha256:56ee777eed30ee9acb86e74401d090dcac4adb57b5c8a8714f791b0c97a34afc"},
+ {file = "litellm-1.40.2.tar.gz", hash = "sha256:1f5dc4eab7100962c3a2985c7d8c13070ff5793b341540d19b98a2bd85955cb0"},
]
[package.dependencies]
@@ -4445,12 +4445,12 @@ proxy = ["PyJWT (>=2.8.0,<3.0.0)", "apscheduler (>=3.10.4,<4.0.0)", "backoff", "
[[package]]
name = "llama-cpp-python"
-version = "0.2.76"
+version = "0.2.77"
description = "Python bindings for the llama.cpp library"
optional = true
python-versions = ">=3.8"
files = [
- {file = "llama_cpp_python-0.2.76.tar.gz", hash = "sha256:a4e2ab6b74dc87f565a21e4f1617c030f92d5b341375d7173876d238613a50ab"},
+ {file = "llama_cpp_python-0.2.77.tar.gz", hash = "sha256:5d2f87df941a72ad6d122c3ffd91d8fe58542db350bd169c07b025d625a26803"},
]
[package.dependencies]
@@ -5286,18 +5286,15 @@ test = ["pytest (>=7.2)", "pytest-cov (>=4.0)"]
[[package]]
name = "nodeenv"
-version = "1.8.0"
+version = "1.9.1"
description = "Node.js virtual environment builder"
optional = false
-python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*"
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
files = [
- {file = "nodeenv-1.8.0-py2.py3-none-any.whl", hash = "sha256:df865724bb3c3adc86b3876fa209771517b0cfe596beff01a92700e0e8be4cec"},
- {file = "nodeenv-1.8.0.tar.gz", hash = "sha256:d51e0c37e64fbf47d017feac3145cdbb58836d7eee8c6f6d3b6880c5456227d2"},
+ {file = "nodeenv-1.9.1-py2.py3-none-any.whl", hash = "sha256:ba11c9782d29c27c70ffbdda2d7415098754709be8a7056d79a737cd901155c9"},
+ {file = "nodeenv-1.9.1.tar.gz", hash = "sha256:6ec12890a2dab7946721edbfbcd91f3319c6ccc9aec47be7c7e6b7011ee6645f"},
]
-[package.dependencies]
-setuptools = "*"
-
[[package]]
name = "numexpr"
version = "2.10.0"
@@ -5586,13 +5583,13 @@ sympy = "*"
[[package]]
name = "openai"
-version = "1.30.3"
+version = "1.31.1"
description = "The official Python library for the openai API"
optional = false
python-versions = ">=3.7.1"
files = [
- {file = "openai-1.30.3-py3-none-any.whl", hash = "sha256:f88119c8a848998be533c71ab8aa832446fa72b7ddbc70917c3f5886dc132051"},
- {file = "openai-1.30.3.tar.gz", hash = "sha256:8e1bcdca2b96fe3636ab522fa153d88efde1b702d12ec32f1c73e9553ff93f45"},
+ {file = "openai-1.31.1-py3-none-any.whl", hash = "sha256:a746cf070798a4048cfea00b0fc7cb9760ee7ead5a08c48115b914d1afbd1b53"},
+ {file = "openai-1.31.1.tar.gz", hash = "sha256:a15266827de20f407d4bf9837030b168074b5b29acd54f10bb38d5f53e95f083"},
]
[package.dependencies]
@@ -5609,42 +5606,42 @@ datalib = ["numpy (>=1)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
[[package]]
name = "opentelemetry-api"
-version = "1.24.0"
+version = "1.25.0"
description = "OpenTelemetry Python API"
optional = false
python-versions = ">=3.8"
files = [
- {file = "opentelemetry_api-1.24.0-py3-none-any.whl", hash = "sha256:0f2c363d98d10d1ce93330015ca7fd3a65f60be64e05e30f557c61de52c80ca2"},
- {file = "opentelemetry_api-1.24.0.tar.gz", hash = "sha256:42719f10ce7b5a9a73b10a4baf620574fb8ad495a9cbe5c18d76b75d8689c67e"},
+ {file = "opentelemetry_api-1.25.0-py3-none-any.whl", hash = "sha256:757fa1aa020a0f8fa139f8959e53dec2051cc26b832e76fa839a6d76ecefd737"},
+ {file = "opentelemetry_api-1.25.0.tar.gz", hash = "sha256:77c4985f62f2614e42ce77ee4c9da5fa5f0bc1e1821085e9a47533a9323ae869"},
]
[package.dependencies]
deprecated = ">=1.2.6"
-importlib-metadata = ">=6.0,<=7.0"
+importlib-metadata = ">=6.0,<=7.1"
[[package]]
name = "opentelemetry-exporter-otlp-proto-common"
-version = "1.24.0"
+version = "1.25.0"
description = "OpenTelemetry Protobuf encoding"
optional = false
python-versions = ">=3.8"
files = [
- {file = "opentelemetry_exporter_otlp_proto_common-1.24.0-py3-none-any.whl", hash = "sha256:e51f2c9735054d598ad2df5d3eca830fecfb5b0bda0a2fa742c9c7718e12f641"},
- {file = "opentelemetry_exporter_otlp_proto_common-1.24.0.tar.gz", hash = "sha256:5d31fa1ff976cacc38be1ec4e3279a3f88435c75b38b1f7a099a1faffc302461"},
+ {file = "opentelemetry_exporter_otlp_proto_common-1.25.0-py3-none-any.whl", hash = "sha256:15637b7d580c2675f70246563363775b4e6de947871e01d0f4e3881d1848d693"},
+ {file = "opentelemetry_exporter_otlp_proto_common-1.25.0.tar.gz", hash = "sha256:c93f4e30da4eee02bacd1e004eb82ce4da143a2f8e15b987a9f603e0a85407d3"},
]
[package.dependencies]
-opentelemetry-proto = "1.24.0"
+opentelemetry-proto = "1.25.0"
[[package]]
name = "opentelemetry-exporter-otlp-proto-grpc"
-version = "1.24.0"
+version = "1.25.0"
description = "OpenTelemetry Collector Protobuf over gRPC Exporter"
optional = false
python-versions = ">=3.8"
files = [
- {file = "opentelemetry_exporter_otlp_proto_grpc-1.24.0-py3-none-any.whl", hash = "sha256:f40d62aa30a0a43cc1657428e59fcf82ad5f7ea8fff75de0f9d9cb6f739e0a3b"},
- {file = "opentelemetry_exporter_otlp_proto_grpc-1.24.0.tar.gz", hash = "sha256:217c6e30634f2c9797999ea9da29f7300479a94a610139b9df17433f915e7baa"},
+ {file = "opentelemetry_exporter_otlp_proto_grpc-1.25.0-py3-none-any.whl", hash = "sha256:3131028f0c0a155a64c430ca600fd658e8e37043cb13209f0109db5c1a3e4eb4"},
+ {file = "opentelemetry_exporter_otlp_proto_grpc-1.25.0.tar.gz", hash = "sha256:c0b1661415acec5af87625587efa1ccab68b873745ca0ee96b69bb1042087eac"},
]
[package.dependencies]
@@ -5652,22 +5649,19 @@ deprecated = ">=1.2.6"
googleapis-common-protos = ">=1.52,<2.0"
grpcio = ">=1.0.0,<2.0.0"
opentelemetry-api = ">=1.15,<2.0"
-opentelemetry-exporter-otlp-proto-common = "1.24.0"
-opentelemetry-proto = "1.24.0"
-opentelemetry-sdk = ">=1.24.0,<1.25.0"
-
-[package.extras]
-test = ["pytest-grpc"]
+opentelemetry-exporter-otlp-proto-common = "1.25.0"
+opentelemetry-proto = "1.25.0"
+opentelemetry-sdk = ">=1.25.0,<1.26.0"
[[package]]
name = "opentelemetry-instrumentation"
-version = "0.45b0"
+version = "0.46b0"
description = "Instrumentation Tools & Auto Instrumentation for OpenTelemetry Python"
optional = false
python-versions = ">=3.8"
files = [
- {file = "opentelemetry_instrumentation-0.45b0-py3-none-any.whl", hash = "sha256:06c02e2c952c1b076e8eaedf1b82f715e2937ba7eeacab55913dd434fbcec258"},
- {file = "opentelemetry_instrumentation-0.45b0.tar.gz", hash = "sha256:6c47120a7970bbeb458e6a73686ee9ba84b106329a79e4a4a66761f933709c7e"},
+ {file = "opentelemetry_instrumentation-0.46b0-py3-none-any.whl", hash = "sha256:89cd721b9c18c014ca848ccd11181e6b3fd3f6c7669e35d59c48dc527408c18b"},
+ {file = "opentelemetry_instrumentation-0.46b0.tar.gz", hash = "sha256:974e0888fb2a1e01c38fbacc9483d024bb1132aad92d6d24e2e5543887a7adda"},
]
[package.dependencies]
@@ -5677,55 +5671,55 @@ wrapt = ">=1.0.0,<2.0.0"
[[package]]
name = "opentelemetry-instrumentation-asgi"
-version = "0.45b0"
+version = "0.46b0"
description = "ASGI instrumentation for OpenTelemetry"
optional = false
python-versions = ">=3.8"
files = [
- {file = "opentelemetry_instrumentation_asgi-0.45b0-py3-none-any.whl", hash = "sha256:8be1157ed62f0db24e45fdf7933c530c4338bd025c5d4af7830e903c0756021b"},
- {file = "opentelemetry_instrumentation_asgi-0.45b0.tar.gz", hash = "sha256:97f55620f163fd3d20323e9fd8dc3aacc826c03397213ff36b877e0f4b6b08a6"},
+ {file = "opentelemetry_instrumentation_asgi-0.46b0-py3-none-any.whl", hash = "sha256:f13c55c852689573057837a9500aeeffc010c4ba59933c322e8f866573374759"},
+ {file = "opentelemetry_instrumentation_asgi-0.46b0.tar.gz", hash = "sha256:02559f30cf4b7e2a737ab17eb52aa0779bcf4cc06573064f3e2cb4dcc7d3040a"},
]
[package.dependencies]
asgiref = ">=3.0,<4.0"
opentelemetry-api = ">=1.12,<2.0"
-opentelemetry-instrumentation = "0.45b0"
-opentelemetry-semantic-conventions = "0.45b0"
-opentelemetry-util-http = "0.45b0"
+opentelemetry-instrumentation = "0.46b0"
+opentelemetry-semantic-conventions = "0.46b0"
+opentelemetry-util-http = "0.46b0"
[package.extras]
instruments = ["asgiref (>=3.0,<4.0)"]
[[package]]
name = "opentelemetry-instrumentation-fastapi"
-version = "0.45b0"
+version = "0.46b0"
description = "OpenTelemetry FastAPI Instrumentation"
optional = false
python-versions = ">=3.8"
files = [
- {file = "opentelemetry_instrumentation_fastapi-0.45b0-py3-none-any.whl", hash = "sha256:77d9c123a363129148f5f66d44094f3d67aaaa2b201396d94782b4a7f9ce4314"},
- {file = "opentelemetry_instrumentation_fastapi-0.45b0.tar.gz", hash = "sha256:5a6b91e1c08a01601845fcfcfdefd0a2aecdb3c356d4a436a3210cb58c21487e"},
+ {file = "opentelemetry_instrumentation_fastapi-0.46b0-py3-none-any.whl", hash = "sha256:e0f5d150c6c36833dd011f0e6ef5ede6d7406c1aed0c7c98b2d3b38a018d1b33"},
+ {file = "opentelemetry_instrumentation_fastapi-0.46b0.tar.gz", hash = "sha256:928a883a36fc89f9702f15edce43d1a7104da93d740281e32d50ffd03dbb4365"},
]
[package.dependencies]
opentelemetry-api = ">=1.12,<2.0"
-opentelemetry-instrumentation = "0.45b0"
-opentelemetry-instrumentation-asgi = "0.45b0"
-opentelemetry-semantic-conventions = "0.45b0"
-opentelemetry-util-http = "0.45b0"
+opentelemetry-instrumentation = "0.46b0"
+opentelemetry-instrumentation-asgi = "0.46b0"
+opentelemetry-semantic-conventions = "0.46b0"
+opentelemetry-util-http = "0.46b0"
[package.extras]
instruments = ["fastapi (>=0.58,<1.0)"]
[[package]]
name = "opentelemetry-proto"
-version = "1.24.0"
+version = "1.25.0"
description = "OpenTelemetry Python Proto"
optional = false
python-versions = ">=3.8"
files = [
- {file = "opentelemetry_proto-1.24.0-py3-none-any.whl", hash = "sha256:bcb80e1e78a003040db71ccf83f2ad2019273d1e0828089d183b18a1476527ce"},
- {file = "opentelemetry_proto-1.24.0.tar.gz", hash = "sha256:ff551b8ad63c6cabb1845ce217a6709358dfaba0f75ea1fa21a61ceddc78cab8"},
+ {file = "opentelemetry_proto-1.25.0-py3-none-any.whl", hash = "sha256:f07e3341c78d835d9b86665903b199893befa5e98866f63d22b00d0b7ca4972f"},
+ {file = "opentelemetry_proto-1.25.0.tar.gz", hash = "sha256:35b6ef9dc4a9f7853ecc5006738ad40443701e52c26099e197895cbda8b815a3"},
]
[package.dependencies]
@@ -5733,40 +5727,43 @@ protobuf = ">=3.19,<5.0"
[[package]]
name = "opentelemetry-sdk"
-version = "1.24.0"
+version = "1.25.0"
description = "OpenTelemetry Python SDK"
optional = false
python-versions = ">=3.8"
files = [
- {file = "opentelemetry_sdk-1.24.0-py3-none-any.whl", hash = "sha256:fa731e24efe832e98bcd90902085b359dcfef7d9c9c00eb5b9a18587dae3eb59"},
- {file = "opentelemetry_sdk-1.24.0.tar.gz", hash = "sha256:75bc0563affffa827700e0f4f4a68e1e257db0df13372344aebc6f8a64cde2e5"},
+ {file = "opentelemetry_sdk-1.25.0-py3-none-any.whl", hash = "sha256:d97ff7ec4b351692e9d5a15af570c693b8715ad78b8aafbec5c7100fe966b4c9"},
+ {file = "opentelemetry_sdk-1.25.0.tar.gz", hash = "sha256:ce7fc319c57707ef5bf8b74fb9f8ebdb8bfafbe11898410e0d2a761d08a98ec7"},
]
[package.dependencies]
-opentelemetry-api = "1.24.0"
-opentelemetry-semantic-conventions = "0.45b0"
+opentelemetry-api = "1.25.0"
+opentelemetry-semantic-conventions = "0.46b0"
typing-extensions = ">=3.7.4"
[[package]]
name = "opentelemetry-semantic-conventions"
-version = "0.45b0"
+version = "0.46b0"
description = "OpenTelemetry Semantic Conventions"
optional = false
python-versions = ">=3.8"
files = [
- {file = "opentelemetry_semantic_conventions-0.45b0-py3-none-any.whl", hash = "sha256:a4a6fb9a7bacd9167c082aa4681009e9acdbfa28ffb2387af50c2fef3d30c864"},
- {file = "opentelemetry_semantic_conventions-0.45b0.tar.gz", hash = "sha256:7c84215a44ac846bc4b8e32d5e78935c5c43482e491812a0bb8aaf87e4d92118"},
+ {file = "opentelemetry_semantic_conventions-0.46b0-py3-none-any.whl", hash = "sha256:6daef4ef9fa51d51855d9f8e0ccd3a1bd59e0e545abe99ac6203804e36ab3e07"},
+ {file = "opentelemetry_semantic_conventions-0.46b0.tar.gz", hash = "sha256:fbc982ecbb6a6e90869b15c1673be90bd18c8a56ff1cffc0864e38e2edffaefa"},
]
+[package.dependencies]
+opentelemetry-api = "1.25.0"
+
[[package]]
name = "opentelemetry-util-http"
-version = "0.45b0"
+version = "0.46b0"
description = "Web util for OpenTelemetry"
optional = false
python-versions = ">=3.8"
files = [
- {file = "opentelemetry_util_http-0.45b0-py3-none-any.whl", hash = "sha256:6628868b501b3004e1860f976f410eeb3d3499e009719d818000f24ce17b6e33"},
- {file = "opentelemetry_util_http-0.45b0.tar.gz", hash = "sha256:4ce08b6a7d52dd7c96b7705b5b4f06fdb6aa3eac1233b3b0bfef8a0cab9a92cd"},
+ {file = "opentelemetry_util_http-0.46b0-py3-none-any.whl", hash = "sha256:8dc1949ce63caef08db84ae977fdc1848fe6dc38e6bbaad0ae3e6ecd0d451629"},
+ {file = "opentelemetry_util_http-0.46b0.tar.gz", hash = "sha256:03b6e222642f9c7eae58d9132343e045b50aca9761fcb53709bd2b663571fdf6"},
]
[[package]]
@@ -5952,17 +5949,20 @@ xml = ["lxml (>=4.9.2)"]
[[package]]
name = "pandas-stubs"
-version = "2.2.2.240514"
+version = "2.2.2.240603"
description = "Type annotations for pandas"
optional = false
python-versions = ">=3.9"
files = [
- {file = "pandas_stubs-2.2.2.240514-py3-none-any.whl", hash = "sha256:5d6f64d45a98bc94152a0f76fa648e598cd2b9ba72302fd34602479f0c391a53"},
- {file = "pandas_stubs-2.2.2.240514.tar.gz", hash = "sha256:85b20da44a62c80eb8389bcf4cbfe31cce1cafa8cca4bf1fc75ec45892e72ce8"},
+ {file = "pandas_stubs-2.2.2.240603-py3-none-any.whl", hash = "sha256:e08ce7f602a4da2bff5a67475ba881c39f2a4d4f7fccc1cba57c6f35a379c6c0"},
+ {file = "pandas_stubs-2.2.2.240603.tar.gz", hash = "sha256:2dcc86e8fa6ea41535a4561c1f08b3942ba5267b464eff2e99caeee66f9e4cd1"},
]
[package.dependencies]
-numpy = {version = ">=1.26.0", markers = "python_version < \"3.13\""}
+numpy = [
+ {version = ">=1.23.5", markers = "python_version >= \"3.9\" and python_version < \"3.12\""},
+ {version = ">=1.26.0", markers = "python_version >= \"3.12\" and python_version < \"3.13\""},
+]
types-pytz = ">=2022.1.1"
[[package]]
@@ -6185,13 +6185,13 @@ tests = ["pytest (>=5.4.1)", "pytest-cov (>=2.8.1)", "pytest-mypy (>=0.8.0)", "p
[[package]]
name = "postgrest"
-version = "0.16.4"
+version = "0.16.8"
description = "PostgREST client for Python. This library provides an ORM interface to PostgREST."
optional = false
python-versions = "<4.0,>=3.8"
files = [
- {file = "postgrest-0.16.4-py3-none-any.whl", hash = "sha256:304425381eb38e31018832a524943d7d1f07687be80c3c7397d8ae69ca56cb88"},
- {file = "postgrest-0.16.4.tar.gz", hash = "sha256:e16973155be1464101d18a51cc060707cd177b918f4b01ea8afa51746ca870ef"},
+ {file = "postgrest-0.16.8-py3-none-any.whl", hash = "sha256:c353a24452f51ab9760cf2b884c4b7457a2653ff36444e66b12615bc4cc8e23e"},
+ {file = "postgrest-0.16.8.tar.gz", hash = "sha256:7b3802a514dc1e0fc8b5bbdeb2c99af35a0bd910e4ddb17855ca4e3422350c84"},
]
[package.dependencies]
@@ -6257,13 +6257,13 @@ twisted = ["twisted"]
[[package]]
name = "prompt-toolkit"
-version = "3.0.43"
+version = "3.0.46"
description = "Library for building powerful interactive command lines in Python"
optional = false
python-versions = ">=3.7.0"
files = [
- {file = "prompt_toolkit-3.0.43-py3-none-any.whl", hash = "sha256:a11a29cb3bf0a28a387fe5122cdb649816a957cd9261dcedf8c9f1fef33eacf6"},
- {file = "prompt_toolkit-3.0.43.tar.gz", hash = "sha256:3527b7af26106cbc65a040bcc84839a3566ec1b051bb0bfe953631e704b0ff7d"},
+ {file = "prompt_toolkit-3.0.46-py3-none-any.whl", hash = "sha256:45abe60a8300f3c618b23c16c4bb98c6fc80af8ce8b17c7ae92db48db3ee63c1"},
+ {file = "prompt_toolkit-3.0.46.tar.gz", hash = "sha256:869c50d682152336e23c4db7f74667639b5047494202ffe7670817053fd57795"},
]
[package.dependencies]
@@ -6632,13 +6632,13 @@ pyasn1 = ">=0.4.6,<0.7.0"
[[package]]
name = "pyautogen"
-version = "0.2.27"
+version = "0.2.28"
description = "Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework"
optional = false
python-versions = "<3.13,>=3.8"
files = [
- {file = "pyautogen-0.2.27-py3-none-any.whl", hash = "sha256:9eb5c38544a0f79475c43442f9c5af2623165e32a7b9dd24ec141492f603a630"},
- {file = "pyautogen-0.2.27.tar.gz", hash = "sha256:a8939d14fed1893109738a4c34ce490bfc6d869fd8a4ecb22932b86c81d9a5a5"},
+ {file = "pyautogen-0.2.28-py3-none-any.whl", hash = "sha256:69dffa4053096f496a50c8a252bbe23105b58fd6ffbb422fa8c043ecf3fc732b"},
+ {file = "pyautogen-0.2.28.tar.gz", hash = "sha256:f74686a981f2b6046a9cf6aff5a5e61615ec60d5559a49e7474467fbdf4e077b"},
]
[package.dependencies]
@@ -6647,6 +6647,7 @@ docker = "*"
flaml = "*"
numpy = ">=1.17.0,<2"
openai = ">=1.3"
+packaging = "*"
pydantic = ">=1.10,<2.6.0 || >2.6.0,<3"
python-dotenv = "*"
termcolor = "*"
@@ -6660,11 +6661,12 @@ gemini = ["google-generativeai (>=0.5,<1)", "pillow", "pydantic"]
graph = ["matplotlib", "networkx"]
jupyter-executor = ["ipykernel (>=6.29.0)", "jupyter-client (>=8.6.0)", "jupyter-kernel-gateway", "requests", "websocket-client"]
lmm = ["pillow", "replicate"]
+long-context = ["llmlingua (<0.3)"]
mathchat = ["pydantic (==1.10.9)", "sympy", "wolframalpha"]
redis = ["redis"]
-retrievechat = ["beautifulsoup4", "chromadb", "ipython", "markdownify", "pypdf", "sentence-transformers"]
-retrievechat-pgvector = ["beautifulsoup4", "chromadb", "ipython", "markdownify", "pgvector (>=0.2.5)", "psycopg (>=3.1.18)", "pypdf", "sentence-transformers"]
-retrievechat-qdrant = ["beautifulsoup4", "chromadb", "ipython", "markdownify", "pypdf", "qdrant-client[fastembed]", "sentence-transformers"]
+retrievechat = ["beautifulsoup4", "chromadb", "ipython", "markdownify", "protobuf (==4.25.3)", "pypdf", "sentence-transformers"]
+retrievechat-pgvector = ["beautifulsoup4", "chromadb", "ipython", "markdownify", "pgvector (>=0.2.5)", "protobuf (==4.25.3)", "psycopg (>=3.1.18)", "pypdf", "sentence-transformers"]
+retrievechat-qdrant = ["beautifulsoup4", "chromadb", "ipython", "markdownify", "protobuf (==4.25.3)", "pypdf", "qdrant-client[fastembed]", "sentence-transformers"]
teachable = ["chromadb"]
test = ["ipykernel", "nbconvert", "nbformat", "pandas", "pre-commit", "pytest (>=6.1.1,<8)", "pytest-asyncio", "pytest-cov (>=5)"]
types = ["ipykernel (>=6.29.0)", "jupyter-client (>=8.6.0)", "jupyter-kernel-gateway", "mypy (==1.9.0)", "pytest (>=6.1.1,<8)", "requests", "websocket-client"]
@@ -6725,18 +6727,18 @@ files = [
[[package]]
name = "pydantic"
-version = "2.7.1"
+version = "2.7.3"
description = "Data validation using Python type hints"
optional = false
python-versions = ">=3.8"
files = [
- {file = "pydantic-2.7.1-py3-none-any.whl", hash = "sha256:e029badca45266732a9a79898a15ae2e8b14840b1eabbb25844be28f0b33f3d5"},
- {file = "pydantic-2.7.1.tar.gz", hash = "sha256:e9dbb5eada8abe4d9ae5f46b9939aead650cd2b68f249bb3a8139dbe125803cc"},
+ {file = "pydantic-2.7.3-py3-none-any.whl", hash = "sha256:ea91b002777bf643bb20dd717c028ec43216b24a6001a280f83877fd2655d0b4"},
+ {file = "pydantic-2.7.3.tar.gz", hash = "sha256:c46c76a40bb1296728d7a8b99aa73dd70a48c3510111ff290034f860c99c419e"},
]
[package.dependencies]
annotated-types = ">=0.4.0"
-pydantic-core = "2.18.2"
+pydantic-core = "2.18.4"
typing-extensions = ">=4.6.1"
[package.extras]
@@ -6744,90 +6746,90 @@ email = ["email-validator (>=2.0.0)"]
[[package]]
name = "pydantic-core"
-version = "2.18.2"
+version = "2.18.4"
description = "Core functionality for Pydantic validation and serialization"
optional = false
python-versions = ">=3.8"
files = [
- {file = "pydantic_core-2.18.2-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:9e08e867b306f525802df7cd16c44ff5ebbe747ff0ca6cf3fde7f36c05a59a81"},
- {file = "pydantic_core-2.18.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f0a21cbaa69900cbe1a2e7cad2aa74ac3cf21b10c3efb0fa0b80305274c0e8a2"},
- {file = "pydantic_core-2.18.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0680b1f1f11fda801397de52c36ce38ef1c1dc841a0927a94f226dea29c3ae3d"},
- {file = "pydantic_core-2.18.2-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:95b9d5e72481d3780ba3442eac863eae92ae43a5f3adb5b4d0a1de89d42bb250"},
- {file = "pydantic_core-2.18.2-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:c4fcf5cd9c4b655ad666ca332b9a081112cd7a58a8b5a6ca7a3104bc950f2038"},
- {file = "pydantic_core-2.18.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9b5155ff768083cb1d62f3e143b49a8a3432e6789a3abee8acd005c3c7af1c74"},
- {file = "pydantic_core-2.18.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:553ef617b6836fc7e4df130bb851e32fe357ce36336d897fd6646d6058d980af"},
- {file = "pydantic_core-2.18.2-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:b89ed9eb7d616ef5714e5590e6cf7f23b02d0d539767d33561e3675d6f9e3857"},
- {file = "pydantic_core-2.18.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:75f7e9488238e920ab6204399ded280dc4c307d034f3924cd7f90a38b1829563"},
- {file = "pydantic_core-2.18.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:ef26c9e94a8c04a1b2924149a9cb081836913818e55681722d7f29af88fe7b38"},
- {file = "pydantic_core-2.18.2-cp310-none-win32.whl", hash = "sha256:182245ff6b0039e82b6bb585ed55a64d7c81c560715d1bad0cbad6dfa07b4027"},
- {file = "pydantic_core-2.18.2-cp310-none-win_amd64.whl", hash = "sha256:e23ec367a948b6d812301afc1b13f8094ab7b2c280af66ef450efc357d2ae543"},
- {file = "pydantic_core-2.18.2-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:219da3f096d50a157f33645a1cf31c0ad1fe829a92181dd1311022f986e5fbe3"},
- {file = "pydantic_core-2.18.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:cc1cfd88a64e012b74e94cd00bbe0f9c6df57049c97f02bb07d39e9c852e19a4"},
- {file = "pydantic_core-2.18.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:05b7133a6e6aeb8df37d6f413f7705a37ab4031597f64ab56384c94d98fa0e90"},
- {file = "pydantic_core-2.18.2-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:224c421235f6102e8737032483f43c1a8cfb1d2f45740c44166219599358c2cd"},
- {file = "pydantic_core-2.18.2-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b14d82cdb934e99dda6d9d60dc84a24379820176cc4a0d123f88df319ae9c150"},
- {file = "pydantic_core-2.18.2-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2728b01246a3bba6de144f9e3115b532ee44bd6cf39795194fb75491824a1413"},
- {file = "pydantic_core-2.18.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:470b94480bb5ee929f5acba6995251ada5e059a5ef3e0dfc63cca287283ebfa6"},
- {file = "pydantic_core-2.18.2-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:997abc4df705d1295a42f95b4eec4950a37ad8ae46d913caeee117b6b198811c"},
- {file = "pydantic_core-2.18.2-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:75250dbc5290e3f1a0f4618db35e51a165186f9034eff158f3d490b3fed9f8a0"},
- {file = "pydantic_core-2.18.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:4456f2dca97c425231d7315737d45239b2b51a50dc2b6f0c2bb181fce6207664"},
- {file = "pydantic_core-2.18.2-cp311-none-win32.whl", hash = "sha256:269322dcc3d8bdb69f054681edff86276b2ff972447863cf34c8b860f5188e2e"},
- {file = "pydantic_core-2.18.2-cp311-none-win_amd64.whl", hash = "sha256:800d60565aec896f25bc3cfa56d2277d52d5182af08162f7954f938c06dc4ee3"},
- {file = "pydantic_core-2.18.2-cp311-none-win_arm64.whl", hash = "sha256:1404c69d6a676245199767ba4f633cce5f4ad4181f9d0ccb0577e1f66cf4c46d"},
- {file = "pydantic_core-2.18.2-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:fb2bd7be70c0fe4dfd32c951bc813d9fe6ebcbfdd15a07527796c8204bd36242"},
- {file = "pydantic_core-2.18.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:6132dd3bd52838acddca05a72aafb6eab6536aa145e923bb50f45e78b7251043"},
- {file = "pydantic_core-2.18.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d7d904828195733c183d20a54230c0df0eb46ec746ea1a666730787353e87182"},
- {file = "pydantic_core-2.18.2-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:c9bd70772c720142be1020eac55f8143a34ec9f82d75a8e7a07852023e46617f"},
- {file = "pydantic_core-2.18.2-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:2b8ed04b3582771764538f7ee7001b02e1170223cf9b75dff0bc698fadb00cf3"},
- {file = "pydantic_core-2.18.2-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e6dac87ddb34aaec85f873d737e9d06a3555a1cc1a8e0c44b7f8d5daeb89d86f"},
- {file = "pydantic_core-2.18.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7ca4ae5a27ad7a4ee5170aebce1574b375de390bc01284f87b18d43a3984df72"},
- {file = "pydantic_core-2.18.2-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:886eec03591b7cf058467a70a87733b35f44707bd86cf64a615584fd72488b7c"},
- {file = "pydantic_core-2.18.2-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:ca7b0c1f1c983e064caa85f3792dd2fe3526b3505378874afa84baf662e12241"},
- {file = "pydantic_core-2.18.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:4b4356d3538c3649337df4074e81b85f0616b79731fe22dd11b99499b2ebbdf3"},
- {file = "pydantic_core-2.18.2-cp312-none-win32.whl", hash = "sha256:8b172601454f2d7701121bbec3425dd71efcb787a027edf49724c9cefc14c038"},
- {file = "pydantic_core-2.18.2-cp312-none-win_amd64.whl", hash = "sha256:b1bd7e47b1558ea872bd16c8502c414f9e90dcf12f1395129d7bb42a09a95438"},
- {file = "pydantic_core-2.18.2-cp312-none-win_arm64.whl", hash = "sha256:98758d627ff397e752bc339272c14c98199c613f922d4a384ddc07526c86a2ec"},
- {file = "pydantic_core-2.18.2-cp38-cp38-macosx_10_12_x86_64.whl", hash = "sha256:9fdad8e35f278b2c3eb77cbdc5c0a49dada440657bf738d6905ce106dc1de439"},
- {file = "pydantic_core-2.18.2-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:1d90c3265ae107f91a4f279f4d6f6f1d4907ac76c6868b27dc7fb33688cfb347"},
- {file = "pydantic_core-2.18.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:390193c770399861d8df9670fb0d1874f330c79caaca4642332df7c682bf6b91"},
- {file = "pydantic_core-2.18.2-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:82d5d4d78e4448683cb467897fe24e2b74bb7b973a541ea1dcfec1d3cbce39fb"},
- {file = "pydantic_core-2.18.2-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:4774f3184d2ef3e14e8693194f661dea5a4d6ca4e3dc8e39786d33a94865cefd"},
- {file = "pydantic_core-2.18.2-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d4d938ec0adf5167cb335acb25a4ee69a8107e4984f8fbd2e897021d9e4ca21b"},
- {file = "pydantic_core-2.18.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e0e8b1be28239fc64a88a8189d1df7fad8be8c1ae47fcc33e43d4be15f99cc70"},
- {file = "pydantic_core-2.18.2-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:868649da93e5a3d5eacc2b5b3b9235c98ccdbfd443832f31e075f54419e1b96b"},
- {file = "pydantic_core-2.18.2-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:78363590ef93d5d226ba21a90a03ea89a20738ee5b7da83d771d283fd8a56761"},
- {file = "pydantic_core-2.18.2-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:852e966fbd035a6468fc0a3496589b45e2208ec7ca95c26470a54daed82a0788"},
- {file = "pydantic_core-2.18.2-cp38-none-win32.whl", hash = "sha256:6a46e22a707e7ad4484ac9ee9f290f9d501df45954184e23fc29408dfad61350"},
- {file = "pydantic_core-2.18.2-cp38-none-win_amd64.whl", hash = "sha256:d91cb5ea8b11607cc757675051f61b3d93f15eca3cefb3e6c704a5d6e8440f4e"},
- {file = "pydantic_core-2.18.2-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:ae0a8a797a5e56c053610fa7be147993fe50960fa43609ff2a9552b0e07013e8"},
- {file = "pydantic_core-2.18.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:042473b6280246b1dbf530559246f6842b56119c2926d1e52b631bdc46075f2a"},
- {file = "pydantic_core-2.18.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1a388a77e629b9ec814c1b1e6b3b595fe521d2cdc625fcca26fbc2d44c816804"},
- {file = "pydantic_core-2.18.2-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:e25add29b8f3b233ae90ccef2d902d0ae0432eb0d45370fe315d1a5cf231004b"},
- {file = "pydantic_core-2.18.2-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f459a5ce8434614dfd39bbebf1041952ae01da6bed9855008cb33b875cb024c0"},
- {file = "pydantic_core-2.18.2-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:eff2de745698eb46eeb51193a9f41d67d834d50e424aef27df2fcdee1b153845"},
- {file = "pydantic_core-2.18.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a8309f67285bdfe65c372ea3722b7a5642680f3dba538566340a9d36e920b5f0"},
- {file = "pydantic_core-2.18.2-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:f93a8a2e3938ff656a7c1bc57193b1319960ac015b6e87d76c76bf14fe0244b4"},
- {file = "pydantic_core-2.18.2-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:22057013c8c1e272eb8d0eebc796701167d8377441ec894a8fed1af64a0bf399"},
- {file = "pydantic_core-2.18.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:cfeecd1ac6cc1fb2692c3d5110781c965aabd4ec5d32799773ca7b1456ac636b"},
- {file = "pydantic_core-2.18.2-cp39-none-win32.whl", hash = "sha256:0d69b4c2f6bb3e130dba60d34c0845ba31b69babdd3f78f7c0c8fae5021a253e"},
- {file = "pydantic_core-2.18.2-cp39-none-win_amd64.whl", hash = "sha256:d9319e499827271b09b4e411905b24a426b8fb69464dfa1696258f53a3334641"},
- {file = "pydantic_core-2.18.2-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:a1874c6dd4113308bd0eb568418e6114b252afe44319ead2b4081e9b9521fe75"},
- {file = "pydantic_core-2.18.2-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:ccdd111c03bfd3666bd2472b674c6899550e09e9f298954cfc896ab92b5b0e6d"},
- {file = "pydantic_core-2.18.2-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e18609ceaa6eed63753037fc06ebb16041d17d28199ae5aba0052c51449650a9"},
- {file = "pydantic_core-2.18.2-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6e5c584d357c4e2baf0ff7baf44f4994be121e16a2c88918a5817331fc7599d7"},
- {file = "pydantic_core-2.18.2-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:43f0f463cf89ace478de71a318b1b4f05ebc456a9b9300d027b4b57c1a2064fb"},
- {file = "pydantic_core-2.18.2-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:e1b395e58b10b73b07b7cf740d728dd4ff9365ac46c18751bf8b3d8cca8f625a"},
- {file = "pydantic_core-2.18.2-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:0098300eebb1c837271d3d1a2cd2911e7c11b396eac9661655ee524a7f10587b"},
- {file = "pydantic_core-2.18.2-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:36789b70d613fbac0a25bb07ab3d9dba4d2e38af609c020cf4d888d165ee0bf3"},
- {file = "pydantic_core-2.18.2-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:3f9a801e7c8f1ef8718da265bba008fa121243dfe37c1cea17840b0944dfd72c"},
- {file = "pydantic_core-2.18.2-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:3a6515ebc6e69d85502b4951d89131ca4e036078ea35533bb76327f8424531ce"},
- {file = "pydantic_core-2.18.2-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:20aca1e2298c56ececfd8ed159ae4dde2df0781988c97ef77d5c16ff4bd5b400"},
- {file = "pydantic_core-2.18.2-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:223ee893d77a310a0391dca6df00f70bbc2f36a71a895cecd9a0e762dc37b349"},
- {file = "pydantic_core-2.18.2-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:2334ce8c673ee93a1d6a65bd90327588387ba073c17e61bf19b4fd97d688d63c"},
- {file = "pydantic_core-2.18.2-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:cbca948f2d14b09d20268cda7b0367723d79063f26c4ffc523af9042cad95592"},
- {file = "pydantic_core-2.18.2-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:b3ef08e20ec49e02d5c6717a91bb5af9b20f1805583cb0adfe9ba2c6b505b5ae"},
- {file = "pydantic_core-2.18.2-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:c6fdc8627910eed0c01aed6a390a252fe3ea6d472ee70fdde56273f198938374"},
- {file = "pydantic_core-2.18.2.tar.gz", hash = "sha256:2e29d20810dfc3043ee13ac7d9e25105799817683348823f305ab3f349b9386e"},
+ {file = "pydantic_core-2.18.4-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:f76d0ad001edd426b92233d45c746fd08f467d56100fd8f30e9ace4b005266e4"},
+ {file = "pydantic_core-2.18.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:59ff3e89f4eaf14050c8022011862df275b552caef8082e37b542b066ce1ff26"},
+ {file = "pydantic_core-2.18.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a55b5b16c839df1070bc113c1f7f94a0af4433fcfa1b41799ce7606e5c79ce0a"},
+ {file = "pydantic_core-2.18.4-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:4d0dcc59664fcb8974b356fe0a18a672d6d7cf9f54746c05f43275fc48636851"},
+ {file = "pydantic_core-2.18.4-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8951eee36c57cd128f779e641e21eb40bc5073eb28b2d23f33eb0ef14ffb3f5d"},
+ {file = "pydantic_core-2.18.4-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:4701b19f7e3a06ea655513f7938de6f108123bf7c86bbebb1196eb9bd35cf724"},
+ {file = "pydantic_core-2.18.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e00a3f196329e08e43d99b79b286d60ce46bed10f2280d25a1718399457e06be"},
+ {file = "pydantic_core-2.18.4-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:97736815b9cc893b2b7f663628e63f436018b75f44854c8027040e05230eeddb"},
+ {file = "pydantic_core-2.18.4-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:6891a2ae0e8692679c07728819b6e2b822fb30ca7445f67bbf6509b25a96332c"},
+ {file = "pydantic_core-2.18.4-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:bc4ff9805858bd54d1a20efff925ccd89c9d2e7cf4986144b30802bf78091c3e"},
+ {file = "pydantic_core-2.18.4-cp310-none-win32.whl", hash = "sha256:1b4de2e51bbcb61fdebd0ab86ef28062704f62c82bbf4addc4e37fa4b00b7cbc"},
+ {file = "pydantic_core-2.18.4-cp310-none-win_amd64.whl", hash = "sha256:6a750aec7bf431517a9fd78cb93c97b9b0c496090fee84a47a0d23668976b4b0"},
+ {file = "pydantic_core-2.18.4-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:942ba11e7dfb66dc70f9ae66b33452f51ac7bb90676da39a7345e99ffb55402d"},
+ {file = "pydantic_core-2.18.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:b2ebef0e0b4454320274f5e83a41844c63438fdc874ea40a8b5b4ecb7693f1c4"},
+ {file = "pydantic_core-2.18.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a642295cd0c8df1b86fc3dced1d067874c353a188dc8e0f744626d49e9aa51c4"},
+ {file = "pydantic_core-2.18.4-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:5f09baa656c904807e832cf9cce799c6460c450c4ad80803517032da0cd062e2"},
+ {file = "pydantic_core-2.18.4-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:98906207f29bc2c459ff64fa007afd10a8c8ac080f7e4d5beff4c97086a3dabd"},
+ {file = "pydantic_core-2.18.4-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:19894b95aacfa98e7cb093cd7881a0c76f55731efad31073db4521e2b6ff5b7d"},
+ {file = "pydantic_core-2.18.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0fbbdc827fe5e42e4d196c746b890b3d72876bdbf160b0eafe9f0334525119c8"},
+ {file = "pydantic_core-2.18.4-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:f85d05aa0918283cf29a30b547b4df2fbb56b45b135f9e35b6807cb28bc47951"},
+ {file = "pydantic_core-2.18.4-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:e85637bc8fe81ddb73fda9e56bab24560bdddfa98aa64f87aaa4e4b6730c23d2"},
+ {file = "pydantic_core-2.18.4-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:2f5966897e5461f818e136b8451d0551a2e77259eb0f73a837027b47dc95dab9"},
+ {file = "pydantic_core-2.18.4-cp311-none-win32.whl", hash = "sha256:44c7486a4228413c317952e9d89598bcdfb06399735e49e0f8df643e1ccd0558"},
+ {file = "pydantic_core-2.18.4-cp311-none-win_amd64.whl", hash = "sha256:8a7164fe2005d03c64fd3b85649891cd4953a8de53107940bf272500ba8a788b"},
+ {file = "pydantic_core-2.18.4-cp311-none-win_arm64.whl", hash = "sha256:4e99bc050fe65c450344421017f98298a97cefc18c53bb2f7b3531eb39bc7805"},
+ {file = "pydantic_core-2.18.4-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:6f5c4d41b2771c730ea1c34e458e781b18cc668d194958e0112455fff4e402b2"},
+ {file = "pydantic_core-2.18.4-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:2fdf2156aa3d017fddf8aea5adfba9f777db1d6022d392b682d2a8329e087cef"},
+ {file = "pydantic_core-2.18.4-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4748321b5078216070b151d5271ef3e7cc905ab170bbfd27d5c83ee3ec436695"},
+ {file = "pydantic_core-2.18.4-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:847a35c4d58721c5dc3dba599878ebbdfd96784f3fb8bb2c356e123bdcd73f34"},
+ {file = "pydantic_core-2.18.4-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3c40d4eaad41f78e3bbda31b89edc46a3f3dc6e171bf0ecf097ff7a0ffff7cb1"},
+ {file = "pydantic_core-2.18.4-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:21a5e440dbe315ab9825fcd459b8814bb92b27c974cbc23c3e8baa2b76890077"},
+ {file = "pydantic_core-2.18.4-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:01dd777215e2aa86dfd664daed5957704b769e726626393438f9c87690ce78c3"},
+ {file = "pydantic_core-2.18.4-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:4b06beb3b3f1479d32befd1f3079cc47b34fa2da62457cdf6c963393340b56e9"},
+ {file = "pydantic_core-2.18.4-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:564d7922e4b13a16b98772441879fcdcbe82ff50daa622d681dd682175ea918c"},
+ {file = "pydantic_core-2.18.4-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:0eb2a4f660fcd8e2b1c90ad566db2b98d7f3f4717c64fe0a83e0adb39766d5b8"},
+ {file = "pydantic_core-2.18.4-cp312-none-win32.whl", hash = "sha256:8b8bab4c97248095ae0c4455b5a1cd1cdd96e4e4769306ab19dda135ea4cdb07"},
+ {file = "pydantic_core-2.18.4-cp312-none-win_amd64.whl", hash = "sha256:14601cdb733d741b8958224030e2bfe21a4a881fb3dd6fbb21f071cabd48fa0a"},
+ {file = "pydantic_core-2.18.4-cp312-none-win_arm64.whl", hash = "sha256:c1322d7dd74713dcc157a2b7898a564ab091ca6c58302d5c7b4c07296e3fd00f"},
+ {file = "pydantic_core-2.18.4-cp38-cp38-macosx_10_12_x86_64.whl", hash = "sha256:823be1deb01793da05ecb0484d6c9e20baebb39bd42b5d72636ae9cf8350dbd2"},
+ {file = "pydantic_core-2.18.4-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:ebef0dd9bf9b812bf75bda96743f2a6c5734a02092ae7f721c048d156d5fabae"},
+ {file = "pydantic_core-2.18.4-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ae1d6df168efb88d7d522664693607b80b4080be6750c913eefb77e34c12c71a"},
+ {file = "pydantic_core-2.18.4-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:f9899c94762343f2cc2fc64c13e7cae4c3cc65cdfc87dd810a31654c9b7358cc"},
+ {file = "pydantic_core-2.18.4-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:99457f184ad90235cfe8461c4d70ab7dd2680e28821c29eca00252ba90308c78"},
+ {file = "pydantic_core-2.18.4-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:18f469a3d2a2fdafe99296a87e8a4c37748b5080a26b806a707f25a902c040a8"},
+ {file = "pydantic_core-2.18.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b7cdf28938ac6b8b49ae5e92f2735056a7ba99c9b110a474473fd71185c1af5d"},
+ {file = "pydantic_core-2.18.4-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:938cb21650855054dc54dfd9120a851c974f95450f00683399006aa6e8abb057"},
+ {file = "pydantic_core-2.18.4-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:44cd83ab6a51da80fb5adbd9560e26018e2ac7826f9626bc06ca3dc074cd198b"},
+ {file = "pydantic_core-2.18.4-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:972658f4a72d02b8abfa2581d92d59f59897d2e9f7e708fdabe922f9087773af"},
+ {file = "pydantic_core-2.18.4-cp38-none-win32.whl", hash = "sha256:1d886dc848e60cb7666f771e406acae54ab279b9f1e4143babc9c2258213daa2"},
+ {file = "pydantic_core-2.18.4-cp38-none-win_amd64.whl", hash = "sha256:bb4462bd43c2460774914b8525f79b00f8f407c945d50881568f294c1d9b4443"},
+ {file = "pydantic_core-2.18.4-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:44a688331d4a4e2129140a8118479443bd6f1905231138971372fcde37e43528"},
+ {file = "pydantic_core-2.18.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:a2fdd81edd64342c85ac7cf2753ccae0b79bf2dfa063785503cb85a7d3593223"},
+ {file = "pydantic_core-2.18.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:86110d7e1907ab36691f80b33eb2da87d780f4739ae773e5fc83fb272f88825f"},
+ {file = "pydantic_core-2.18.4-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:46387e38bd641b3ee5ce247563b60c5ca098da9c56c75c157a05eaa0933ed154"},
+ {file = "pydantic_core-2.18.4-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:123c3cec203e3f5ac7b000bd82235f1a3eced8665b63d18be751f115588fea30"},
+ {file = "pydantic_core-2.18.4-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:dc1803ac5c32ec324c5261c7209e8f8ce88e83254c4e1aebdc8b0a39f9ddb443"},
+ {file = "pydantic_core-2.18.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:53db086f9f6ab2b4061958d9c276d1dbe3690e8dd727d6abf2321d6cce37fa94"},
+ {file = "pydantic_core-2.18.4-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:abc267fa9837245cc28ea6929f19fa335f3dc330a35d2e45509b6566dc18be23"},
+ {file = "pydantic_core-2.18.4-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:a0d829524aaefdebccb869eed855e2d04c21d2d7479b6cada7ace5448416597b"},
+ {file = "pydantic_core-2.18.4-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:509daade3b8649f80d4e5ff21aa5673e4ebe58590b25fe42fac5f0f52c6f034a"},
+ {file = "pydantic_core-2.18.4-cp39-none-win32.whl", hash = "sha256:ca26a1e73c48cfc54c4a76ff78df3727b9d9f4ccc8dbee4ae3f73306a591676d"},
+ {file = "pydantic_core-2.18.4-cp39-none-win_amd64.whl", hash = "sha256:c67598100338d5d985db1b3d21f3619ef392e185e71b8d52bceacc4a7771ea7e"},
+ {file = "pydantic_core-2.18.4-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:574d92eac874f7f4db0ca653514d823a0d22e2354359d0759e3f6a406db5d55d"},
+ {file = "pydantic_core-2.18.4-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:1f4d26ceb5eb9eed4af91bebeae4b06c3fb28966ca3a8fb765208cf6b51102ab"},
+ {file = "pydantic_core-2.18.4-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:77450e6d20016ec41f43ca4a6c63e9fdde03f0ae3fe90e7c27bdbeaece8b1ed4"},
+ {file = "pydantic_core-2.18.4-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d323a01da91851a4f17bf592faf46149c9169d68430b3146dcba2bb5e5719abc"},
+ {file = "pydantic_core-2.18.4-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:43d447dd2ae072a0065389092a231283f62d960030ecd27565672bd40746c507"},
+ {file = "pydantic_core-2.18.4-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:578e24f761f3b425834f297b9935e1ce2e30f51400964ce4801002435a1b41ef"},
+ {file = "pydantic_core-2.18.4-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:81b5efb2f126454586d0f40c4d834010979cb80785173d1586df845a632e4e6d"},
+ {file = "pydantic_core-2.18.4-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:ab86ce7c8f9bea87b9d12c7f0af71102acbf5ecbc66c17796cff45dae54ef9a5"},
+ {file = "pydantic_core-2.18.4-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:90afc12421df2b1b4dcc975f814e21bc1754640d502a2fbcc6d41e77af5ec312"},
+ {file = "pydantic_core-2.18.4-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:51991a89639a912c17bef4b45c87bd83593aee0437d8102556af4885811d59f5"},
+ {file = "pydantic_core-2.18.4-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:293afe532740370aba8c060882f7d26cfd00c94cae32fd2e212a3a6e3b7bc15e"},
+ {file = "pydantic_core-2.18.4-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b48ece5bde2e768197a2d0f6e925f9d7e3e826f0ad2271120f8144a9db18d5c8"},
+ {file = "pydantic_core-2.18.4-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:eae237477a873ab46e8dd748e515c72c0c804fb380fbe6c85533c7de51f23a8f"},
+ {file = "pydantic_core-2.18.4-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:834b5230b5dfc0c1ec37b2fda433b271cbbc0e507560b5d1588e2cc1148cf1ce"},
+ {file = "pydantic_core-2.18.4-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:e858ac0a25074ba4bce653f9b5d0a85b7456eaddadc0ce82d3878c22489fa4ee"},
+ {file = "pydantic_core-2.18.4-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:2fd41f6eff4c20778d717af1cc50eca52f5afe7805ee530a4fbd0bae284f16e9"},
+ {file = "pydantic_core-2.18.4.tar.gz", hash = "sha256:ec3beeada09ff865c344ff3bc2f427f5e6c26401cc6113d77e372c3fdac73864"},
]
[package.dependencies]
@@ -6835,17 +6837,17 @@ typing-extensions = ">=4.6.0,<4.7.0 || >4.7.0"
[[package]]
name = "pydantic-settings"
-version = "2.2.1"
+version = "2.3.1"
description = "Settings management using Pydantic"
optional = false
python-versions = ">=3.8"
files = [
- {file = "pydantic_settings-2.2.1-py3-none-any.whl", hash = "sha256:0235391d26db4d2190cb9b31051c4b46882d28a51533f97440867f012d4da091"},
- {file = "pydantic_settings-2.2.1.tar.gz", hash = "sha256:00b9f6a5e95553590434c0fa01ead0b216c3e10bc54ae02e37f359948643c5ed"},
+ {file = "pydantic_settings-2.3.1-py3-none-any.whl", hash = "sha256:acb2c213140dfff9669f4fe9f8180d43914f51626db28ab2db7308a576cce51a"},
+ {file = "pydantic_settings-2.3.1.tar.gz", hash = "sha256:e34bbd649803a6bb3e2f0f58fb0edff1f0c7f556849fda106cc21bcce12c30ab"},
]
[package.dependencies]
-pydantic = ">=2.3.0"
+pydantic = ">=2.7.0"
python-dotenv = ">=0.21.0"
[package.extras]
@@ -6868,71 +6870,71 @@ windows-terminal = ["colorama (>=0.4.6)"]
[[package]]
name = "pymongo"
-version = "4.7.2"
+version = "4.7.3"
description = "Python driver for MongoDB
"
optional = false
python-versions = ">=3.7"
files = [
- {file = "pymongo-4.7.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:268d8578c0500012140c5460755ea405cbfe541ef47c81efa9d6744f0f99aeca"},
- {file = "pymongo-4.7.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:827611beb6c483260d520cfa6a49662d980dfa5368a04296f65fa39e78fccea7"},
- {file = "pymongo-4.7.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a754e366c404d19ff3f077ddeed64be31e0bb515e04f502bf11987f1baa55a16"},
- {file = "pymongo-4.7.2-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:c44efab10d9a3db920530f7bcb26af8f408b7273d2f0214081d3891979726328"},
- {file = "pymongo-4.7.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:35b3f0c7d49724859d4df5f0445818d525824a6cd55074c42573d9b50764df67"},
- {file = "pymongo-4.7.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1e37faf298a37ffb3e0809e77fbbb0a32b6a2d18a83c59cfc2a7b794ea1136b0"},
- {file = "pymongo-4.7.2-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d1bcd58669e56c08f1e72c5758868b5df169fe267501c949ee83c418e9df9155"},
- {file = "pymongo-4.7.2-cp310-cp310-win32.whl", hash = "sha256:c72d16fede22efe7cdd1f422e8da15760e9498024040429362886f946c10fe95"},
- {file = "pymongo-4.7.2-cp310-cp310-win_amd64.whl", hash = "sha256:12d1fef77d25640cb78893d07ff7d2fac4c4461d8eec45bd3b9ad491a1115d6e"},
- {file = "pymongo-4.7.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:fc5af24fcf5fc6f7f40d65446400d45dd12bea933d0299dc9e90c5b22197f1e9"},
- {file = "pymongo-4.7.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:730778b6f0964b164c187289f906bbc84cb0524df285b7a85aa355bbec43eb21"},
- {file = "pymongo-4.7.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:47a1a4832ef2f4346dcd1a10a36ade7367ad6905929ddb476459abb4fd1b98cb"},
- {file = "pymongo-4.7.2-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e6eab12c6385526d386543d6823b07187fefba028f0da216506e00f0e1855119"},
- {file = "pymongo-4.7.2-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:37e9ea81fa59ee9274457ed7d59b6c27f6f2a5fe8e26f184ecf58ea52a019cb8"},
- {file = "pymongo-4.7.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7e9d9d2c0aae73aa4369bd373ac2ac59f02c46d4e56c4b6d6e250cfe85f76802"},
- {file = "pymongo-4.7.2-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:cb6e00a79dff22c9a72212ad82021b54bdb3b85f38a85f4fc466bde581d7d17a"},
- {file = "pymongo-4.7.2-cp311-cp311-win32.whl", hash = "sha256:02efd1bb3397e24ef2af45923888b41a378ce00cb3a4259c5f4fc3c70497a22f"},
- {file = "pymongo-4.7.2-cp311-cp311-win_amd64.whl", hash = "sha256:87bb453ac3eb44db95cb6d5a616fbc906c1c00661eec7f55696253a6245beb8a"},
- {file = "pymongo-4.7.2-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:12c466e02133b7f8f4ff1045c6b5916215c5f7923bc83fd6e28e290cba18f9f6"},
- {file = "pymongo-4.7.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:f91073049c43d14e66696970dd708d319b86ee57ef9af359294eee072abaac79"},
- {file = "pymongo-4.7.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:87032f818bf5052ab742812c715eff896621385c43f8f97cdd37d15b5d394e95"},
- {file = "pymongo-4.7.2-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:6a87eef394039765679f75c6a47455a4030870341cb76eafc349c5944408c882"},
- {file = "pymongo-4.7.2-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d275596f840018858757561840767b39272ac96436fcb54f5cac6d245393fd97"},
- {file = "pymongo-4.7.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:82102e353be13f1a6769660dd88115b1da382447672ba1c2662a0fbe3df1d861"},
- {file = "pymongo-4.7.2-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:194065c9d445017b3c82fb85f89aa2055464a080bde604010dc8eb932a6b3c95"},
- {file = "pymongo-4.7.2-cp312-cp312-win32.whl", hash = "sha256:db4380d1e69fdad1044a4b8f3bb105200542c49a0dde93452d938ff9db1d6d29"},
- {file = "pymongo-4.7.2-cp312-cp312-win_amd64.whl", hash = "sha256:fadc6e8db7707c861ebe25b13ad6aca19ea4d2c56bf04a26691f46c23dadf6e4"},
- {file = "pymongo-4.7.2-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:2cb77d09bd012cb4b30636e7e38d00b5f9be5eb521c364bde66490c45ee6c4b4"},
- {file = "pymongo-4.7.2-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:56bf8b706946952acdea0fe478f8e44f1ed101c4b87f046859e6c3abe6c0a9f4"},
- {file = "pymongo-4.7.2-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:bcf337d1b252405779d9c79978d6ca15eab3cdaa2f44c100a79221bddad97c8a"},
- {file = "pymongo-4.7.2-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:4ffd1519edbe311df73c74ec338de7d294af535b2748191c866ea3a7c484cd15"},
- {file = "pymongo-4.7.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d4d59776f435564159196d971aa89422ead878174aff8fe18e06d9a0bc6d648c"},
- {file = "pymongo-4.7.2-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:347c49cf7f0ba49ea87c1a5a1984187ecc5516b7c753f31938bf7b37462824fd"},
- {file = "pymongo-4.7.2-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:84bc00200c3cbb6c98a2bb964c9e8284b641e4a33cf10c802390552575ee21de"},
- {file = "pymongo-4.7.2-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:fcaf8c911cb29316a02356f89dbc0e0dfcc6a712ace217b6b543805690d2aefd"},
- {file = "pymongo-4.7.2-cp37-cp37m-win32.whl", hash = "sha256:b48a5650ee5320d59f6d570bd99a8d5c58ac6f297a4e9090535f6561469ac32e"},
- {file = "pymongo-4.7.2-cp37-cp37m-win_amd64.whl", hash = "sha256:5239ef7e749f1326ea7564428bf861d5250aa39d7f26d612741b1b1273227062"},
- {file = "pymongo-4.7.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:d2dcf608d35644e8d276d61bf40a93339d8d66a0e5f3e3f75b2c155a421a1b71"},
- {file = "pymongo-4.7.2-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:25eeb2c18ede63891cbd617943dd9e6b9cbccc54f276e0b2e693a0cc40f243c5"},
- {file = "pymongo-4.7.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9349f0bb17a31371d4cacb64b306e4ca90413a3ad1fffe73ac7cd495570d94b5"},
- {file = "pymongo-4.7.2-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ffd4d7cb2e6c6e100e2b39606d38a9ffc934e18593dc9bb326196afc7d93ce3d"},
- {file = "pymongo-4.7.2-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9a8bd37f5dabc86efceb8d8cbff5969256523d42d08088f098753dba15f3b37a"},
- {file = "pymongo-4.7.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1c78f156edc59b905c80c9003e022e1a764c54fd40ac4fea05b0764f829790e2"},
- {file = "pymongo-4.7.2-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:9d892fb91e81cccb83f507cdb2ea0aa026ec3ced7f12a1d60f6a5bf0f20f9c1f"},
- {file = "pymongo-4.7.2-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:87832d6076c2c82f42870157414fd876facbb6554d2faf271ffe7f8f30ce7bed"},
- {file = "pymongo-4.7.2-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:ce1a374ea0e49808e0380ffc64284c0ce0f12bd21042b4bef1af3eb7bdf49054"},
- {file = "pymongo-4.7.2-cp38-cp38-win32.whl", hash = "sha256:eb0642e5f0dd7e86bb358749cc278e70b911e617f519989d346f742dc9520dfb"},
- {file = "pymongo-4.7.2-cp38-cp38-win_amd64.whl", hash = "sha256:4bdb5ffe1cd3728c9479671a067ef44dacafc3743741d4dc700c377c4231356f"},
- {file = "pymongo-4.7.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:743552033c63f0afdb56b9189ab04b5c1dbffd7310cf7156ab98eebcecf24621"},
- {file = "pymongo-4.7.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:5239776633f7578b81207e5646245415a5a95f6ae5ef5dff8e7c2357e6264bfc"},
- {file = "pymongo-4.7.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:727ad07952c155cd20045f2ce91143c7dc4fb01a5b4e8012905a89a7da554b0c"},
- {file = "pymongo-4.7.2-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9385654f01a90f73827af4db90c290a1519f7d9102ba43286e187b373e9a78e9"},
- {file = "pymongo-4.7.2-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:0d833651f1ba938bb7501f13e326b96cfbb7d98867b2d545ca6d69c7664903e0"},
- {file = "pymongo-4.7.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cf17ea9cea14d59b0527403dd7106362917ced7c4ec936c4ba22bd36c912c8e0"},
- {file = "pymongo-4.7.2-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:cecd2df037249d1c74f0af86fb5b766104a5012becac6ff63d85d1de53ba8b98"},
- {file = "pymongo-4.7.2-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:65b4c00dedbd333698b83cd2095a639a6f0d7c4e2a617988f6c65fb46711f028"},
- {file = "pymongo-4.7.2-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:d9b6cbc037108ff1a0a867e7670d8513c37f9bcd9ee3d2464411bfabf70ca002"},
- {file = "pymongo-4.7.2-cp39-cp39-win32.whl", hash = "sha256:cf28430ec1924af1bffed37b69a812339084697fd3f3e781074a0148e6475803"},
- {file = "pymongo-4.7.2-cp39-cp39-win_amd64.whl", hash = "sha256:e004527ea42a6b99a8b8d5b42b42762c3bdf80f88fbdb5c3a9d47f3808495b86"},
- {file = "pymongo-4.7.2.tar.gz", hash = "sha256:9024e1661c6e40acf468177bf90ce924d1bc681d2b244adda3ed7b2f4c4d17d7"},
+ {file = "pymongo-4.7.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e9580b4537b3cc5d412070caabd1dabdf73fdce249793598792bac5782ecf2eb"},
+ {file = "pymongo-4.7.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:517243b2b189c98004570dd8fc0e89b1a48363d5578b3b99212fa2098b2ea4b8"},
+ {file = "pymongo-4.7.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:23b1e9dabd61da1c7deb54d888f952f030e9e35046cebe89309b28223345b3d9"},
+ {file = "pymongo-4.7.3-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:03e0f9901ad66c6fb7da0d303461377524d61dab93a4e4e5af44164c5bb4db76"},
+ {file = "pymongo-4.7.3-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9a870824aa54453aee030bac08c77ebcf2fe8999400f0c2a065bebcbcd46b7f8"},
+ {file = "pymongo-4.7.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:dfd7b3d3f4261bddbb74a332d87581bc523353e62bb9da4027cc7340f6fcbebc"},
+ {file = "pymongo-4.7.3-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4d719a643ea6da46d215a3ba51dac805a773b611c641319558d8576cbe31cef8"},
+ {file = "pymongo-4.7.3-cp310-cp310-win32.whl", hash = "sha256:d8b1e06f361f3c66ee694cb44326e1a2e4f93bc9c3a4849ae8547889fca71154"},
+ {file = "pymongo-4.7.3-cp310-cp310-win_amd64.whl", hash = "sha256:c450ab2f9397e2d5caa7fddeb4feb30bf719c47c13ae02c0bbb3b71bf4099c1c"},
+ {file = "pymongo-4.7.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:79cc6459209e885ba097779eaa0fe7f2fa049db39ab43b1731cf8d065a4650e8"},
+ {file = "pymongo-4.7.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:6e2287f1e2cc35e73cd74a4867e398a97962c5578a3991c730ef78d276ca8e46"},
+ {file = "pymongo-4.7.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:413506bd48d8c31ee100645192171e4773550d7cb940b594d5175ac29e329ea1"},
+ {file = "pymongo-4.7.3-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1cc1febf17646d52b7561caa762f60bdfe2cbdf3f3e70772f62eb624269f9c05"},
+ {file = "pymongo-4.7.3-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:8dfcf18a49955d50a16c92b39230bd0668ffc9c164ccdfe9d28805182b48fa72"},
+ {file = "pymongo-4.7.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:89872041196c008caddf905eb59d3dc2d292ae6b0282f1138418e76f3abd3ad6"},
+ {file = "pymongo-4.7.3-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d3ed97b89de62ea927b672ad524de0d23f3a6b4a01c8d10e3d224abec973fbc3"},
+ {file = "pymongo-4.7.3-cp311-cp311-win32.whl", hash = "sha256:d2f52b38151e946011d888a8441d3d75715c663fc5b41a7ade595e924e12a90a"},
+ {file = "pymongo-4.7.3-cp311-cp311-win_amd64.whl", hash = "sha256:4a4cc91c28e81c0ce03d3c278e399311b0af44665668a91828aec16527082676"},
+ {file = "pymongo-4.7.3-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:cb30c8a78f5ebaca98640943447b6a0afcb146f40b415757c9047bf4a40d07b4"},
+ {file = "pymongo-4.7.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:9cf2069f5d37c398186453589486ea98bb0312214c439f7d320593b61880dc05"},
+ {file = "pymongo-4.7.3-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3564f423958fced8a8c90940fd2f543c27adbcd6c7c6ed6715d847053f6200a0"},
+ {file = "pymongo-4.7.3-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:7a8af8a38fa6951fff73e6ff955a6188f829b29fed7c5a1b739a306b4aa56fe8"},
+ {file = "pymongo-4.7.3-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:3a0e81c8dba6d825272867d487f18764cfed3c736d71d7d4ff5b79642acbed42"},
+ {file = "pymongo-4.7.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:88fc1d146feabac4385ea8ddb1323e584922922641303c8bf392fe1c36803463"},
+ {file = "pymongo-4.7.3-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4225100b2c5d1f7393d7c5d256ceb8b20766830eecf869f8ae232776347625a6"},
+ {file = "pymongo-4.7.3-cp312-cp312-win32.whl", hash = "sha256:5f3569ed119bf99c0f39ac9962fb5591eff02ca210fe80bb5178d7a1171c1b1e"},
+ {file = "pymongo-4.7.3-cp312-cp312-win_amd64.whl", hash = "sha256:eb383c54c0c8ba27e7712b954fcf2a0905fee82a929d277e2e94ad3a5ba3c7db"},
+ {file = "pymongo-4.7.3-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:a46cffe91912570151617d866a25d07b9539433a32231ca7e7cf809b6ba1745f"},
+ {file = "pymongo-4.7.3-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4c3cba427dac50944c050c96d958c5e643c33a457acee03bae27c8990c5b9c16"},
+ {file = "pymongo-4.7.3-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:a7a5fd893edbeb7fa982f8d44b6dd0186b6cd86c89e23f6ef95049ff72bffe46"},
+ {file = "pymongo-4.7.3-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c168a2fadc8b19071d0a9a4f85fe38f3029fe22163db04b4d5c046041c0b14bd"},
+ {file = "pymongo-4.7.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2c59c2c9e70f63a7f18a31e367898248c39c068c639b0579623776f637e8f482"},
+ {file = "pymongo-4.7.3-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d08165fd82c89d372e82904c3268bd8fe5de44f92a00e97bb1db1785154397d9"},
+ {file = "pymongo-4.7.3-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:397fed21afec4fdaecf72f9c4344b692e489756030a9c6d864393e00c7e80491"},
+ {file = "pymongo-4.7.3-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:f903075f8625e2d228f1b9b9a0cf1385f1c41e93c03fd7536c91780a0fb2e98f"},
+ {file = "pymongo-4.7.3-cp37-cp37m-win32.whl", hash = "sha256:8ed1132f58c38add6b6138b771d0477a3833023c015c455d9a6e26f367f9eb5c"},
+ {file = "pymongo-4.7.3-cp37-cp37m-win_amd64.whl", hash = "sha256:8d00a5d8fc1043a4f641cbb321da766699393f1b6f87c70fae8089d61c9c9c54"},
+ {file = "pymongo-4.7.3-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:9377b868c38700c7557aac1bc4baae29f47f1d279cc76b60436e547fd643318c"},
+ {file = "pymongo-4.7.3-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:da4a6a7b4f45329bb135aa5096823637bd5f760b44d6224f98190ee367b6b5dd"},
+ {file = "pymongo-4.7.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:487e2f9277f8a63ac89335ec4f1699ae0d96ebd06d239480d69ed25473a71b2c"},
+ {file = "pymongo-4.7.3-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:6db3d608d541a444c84f0bfc7bad80b0b897e0f4afa580a53f9a944065d9b633"},
+ {file = "pymongo-4.7.3-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e90af2ad3a8a7c295f4d09a2fbcb9a350c76d6865f787c07fe843b79c6e821d1"},
+ {file = "pymongo-4.7.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8e28feb18dc559d50ededba27f9054c79f80c4edd70a826cecfe68f3266807b3"},
+ {file = "pymongo-4.7.3-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f21ecddcba2d9132d5aebd8e959de8d318c29892d0718420447baf2b9bccbb19"},
+ {file = "pymongo-4.7.3-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:26140fbb3f6a9a74bd73ed46d0b1f43d5702e87a6e453a31b24fad9c19df9358"},
+ {file = "pymongo-4.7.3-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:94baa5fc7f7d22c3ce2ac7bd92f7e03ba7a6875f2480e3b97a400163d6eaafc9"},
+ {file = "pymongo-4.7.3-cp38-cp38-win32.whl", hash = "sha256:92dd247727dd83d1903e495acc743ebd757f030177df289e3ba4ef8a8c561fad"},
+ {file = "pymongo-4.7.3-cp38-cp38-win_amd64.whl", hash = "sha256:1c90c848a5e45475731c35097f43026b88ef14a771dfd08f20b67adc160a3f79"},
+ {file = "pymongo-4.7.3-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:f598be401b416319a535c386ac84f51df38663f7a9d1071922bda4d491564422"},
+ {file = "pymongo-4.7.3-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:35ba90477fae61c65def6e7d09e8040edfdd3b7fd47c3c258b4edded60c4d625"},
+ {file = "pymongo-4.7.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9aa8735955c70892634d7e61b0ede9b1eefffd3cd09ccabee0ffcf1bdfe62254"},
+ {file = "pymongo-4.7.3-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:82a97d8f7f138586d9d0a0cff804a045cdbbfcfc1cd6bba542b151e284fbbec5"},
+ {file = "pymongo-4.7.3-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:de3b9db558930efab5eaef4db46dcad8bf61ac3ddfd5751b3e5ac6084a25e366"},
+ {file = "pymongo-4.7.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f0e149217ef62812d3c2401cf0e2852b0c57fd155297ecc4dcd67172c4eca402"},
+ {file = "pymongo-4.7.3-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b3a8a1ef4a824f5feb793b3231526d0045eadb5eb01080e38435dfc40a26c3e5"},
+ {file = "pymongo-4.7.3-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:d14e5e89a4be1f10efc3d9dcb13eb7a3b2334599cb6bb5d06c6a9281b79c8e22"},
+ {file = "pymongo-4.7.3-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:c6bfa29f032fd4fd7b129520f8cdb51ab71d88c2ba0567cccd05d325f963acb5"},
+ {file = "pymongo-4.7.3-cp39-cp39-win32.whl", hash = "sha256:1421d0bd2ce629405f5157bd1aaa9b83f12d53a207cf68a43334f4e4ee312b66"},
+ {file = "pymongo-4.7.3-cp39-cp39-win_amd64.whl", hash = "sha256:f7ee974f8b9370a998919c55b1050889f43815ab588890212023fecbc0402a6d"},
+ {file = "pymongo-4.7.3.tar.gz", hash = "sha256:6354a66b228f2cd399be7429685fb68e07f19110a3679782ecb4fdb68da03831"},
]
[package.dependencies]
@@ -7026,13 +7028,13 @@ files = [
[[package]]
name = "pytest"
-version = "8.2.1"
+version = "8.2.2"
description = "pytest: simple powerful testing with Python"
optional = false
python-versions = ">=3.8"
files = [
- {file = "pytest-8.2.1-py3-none-any.whl", hash = "sha256:faccc5d332b8c3719f40283d0d44aa5cf101cec36f88cde9ed8f2bc0538612b1"},
- {file = "pytest-8.2.1.tar.gz", hash = "sha256:5046e5b46d8e4cac199c373041f26be56fdb81eb4e67dc11d4e10811fc3408fd"},
+ {file = "pytest-8.2.2-py3-none-any.whl", hash = "sha256:c434598117762e2bd304e526244f67bf66bbd7b5d6cf22138be51ff661980343"},
+ {file = "pytest-8.2.2.tar.gz", hash = "sha256:de4bb8104e201939ccdc688b27a89a7be2079b22e2bd2b07f806b6ba71117977"},
]
[package.dependencies]
@@ -7557,13 +7559,13 @@ langchain = ["langchain (>=0.0.321)"]
[[package]]
name = "realtime"
-version = "1.0.4"
+version = "1.0.5"
description = ""
optional = false
python-versions = "<4.0,>=3.8"
files = [
- {file = "realtime-1.0.4-py3-none-any.whl", hash = "sha256:b06bea001985f089167320bda1e91c6b2d866f56ca810bb8d768ee3cf695ee21"},
- {file = "realtime-1.0.4.tar.gz", hash = "sha256:a9095f60121a365e84656c582e6ccd8dc8b3a732ddddb2ccd26cc3d32b77bdf6"},
+ {file = "realtime-1.0.5-py3-none-any.whl", hash = "sha256:93342fbcb8812ed8d81733f2782c1199376f0471e78014675420c7d31f2f327d"},
+ {file = "realtime-1.0.5.tar.gz", hash = "sha256:4abbb3218b6ce8bd8d9d3b1112661d325e36ceab67a0e918673d0fd8fca04fb1"},
]
[package.dependencies]
@@ -7679,13 +7681,13 @@ files = [
[[package]]
name = "requests"
-version = "2.32.2"
+version = "2.32.3"
description = "Python HTTP for Humans."
optional = false
python-versions = ">=3.8"
files = [
- {file = "requests-2.32.2-py3-none-any.whl", hash = "sha256:fc06670dd0ed212426dfeb94fc1b983d917c4f9847c863f313c9dfaaffb7c23c"},
- {file = "requests-2.32.2.tar.gz", hash = "sha256:dd951ff5ecf3e3b3aa26b40703ba77495dab41da839ae72ef3c8e5d8e2433289"},
+ {file = "requests-2.32.3-py3-none-any.whl", hash = "sha256:70761cfe03c773ceb22aa2f671b4757976145175cdfca038c02654d061d6dcc6"},
+ {file = "requests-2.32.3.tar.gz", hash = "sha256:55365417734eb18255590a9ff9eb97e9e1da868d4ccd6402399eaf68af20a760"},
]
[package.dependencies]
@@ -7764,28 +7766,28 @@ pyasn1 = ">=0.1.3"
[[package]]
name = "ruff"
-version = "0.4.5"
+version = "0.4.8"
description = "An extremely fast Python linter and code formatter, written in Rust."
optional = false
python-versions = ">=3.7"
files = [
- {file = "ruff-0.4.5-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:8f58e615dec58b1a6b291769b559e12fdffb53cc4187160a2fc83250eaf54e96"},
- {file = "ruff-0.4.5-py3-none-macosx_11_0_arm64.whl", hash = "sha256:84dd157474e16e3a82745d2afa1016c17d27cb5d52b12e3d45d418bcc6d49264"},
- {file = "ruff-0.4.5-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:25f483ad9d50b00e7fd577f6d0305aa18494c6af139bce7319c68a17180087f4"},
- {file = "ruff-0.4.5-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:63fde3bf6f3ad4e990357af1d30e8ba2730860a954ea9282c95fc0846f5f64af"},
- {file = "ruff-0.4.5-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:78e3ba4620dee27f76bbcad97067766026c918ba0f2d035c2fc25cbdd04d9c97"},
- {file = "ruff-0.4.5-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:441dab55c568e38d02bbda68a926a3d0b54f5510095c9de7f95e47a39e0168aa"},
- {file = "ruff-0.4.5-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1169e47e9c4136c997f08f9857ae889d614c5035d87d38fda9b44b4338909cdf"},
- {file = "ruff-0.4.5-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:755ac9ac2598a941512fc36a9070a13c88d72ff874a9781493eb237ab02d75df"},
- {file = "ruff-0.4.5-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f4b02a65985be2b34b170025a8b92449088ce61e33e69956ce4d316c0fe7cce0"},
- {file = "ruff-0.4.5-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:75a426506a183d9201e7e5664de3f6b414ad3850d7625764106f7b6d0486f0a1"},
- {file = "ruff-0.4.5-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:6e1b139b45e2911419044237d90b60e472f57285950e1492c757dfc88259bb06"},
- {file = "ruff-0.4.5-py3-none-musllinux_1_2_i686.whl", hash = "sha256:a6f29a8221d2e3d85ff0c7b4371c0e37b39c87732c969b4d90f3dad2e721c5b1"},
- {file = "ruff-0.4.5-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:d6ef817124d72b54cc923f3444828ba24fa45c3164bc9e8f1813db2f3d3a8a11"},
- {file = "ruff-0.4.5-py3-none-win32.whl", hash = "sha256:aed8166c18b1a169a5d3ec28a49b43340949e400665555b51ee06f22813ef062"},
- {file = "ruff-0.4.5-py3-none-win_amd64.whl", hash = "sha256:b0b03c619d2b4350b4a27e34fd2ac64d0dabe1afbf43de57d0f9d8a05ecffa45"},
- {file = "ruff-0.4.5-py3-none-win_arm64.whl", hash = "sha256:9d15de3425f53161b3f5a5658d4522e4eee5ea002bf2ac7aa380743dd9ad5fba"},
- {file = "ruff-0.4.5.tar.gz", hash = "sha256:286eabd47e7d4d521d199cab84deca135557e6d1e0f0d01c29e757c3cb151b54"},
+ {file = "ruff-0.4.8-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:7663a6d78f6adb0eab270fa9cf1ff2d28618ca3a652b60f2a234d92b9ec89066"},
+ {file = "ruff-0.4.8-py3-none-macosx_11_0_arm64.whl", hash = "sha256:eeceb78da8afb6de0ddada93112869852d04f1cd0f6b80fe464fd4e35c330913"},
+ {file = "ruff-0.4.8-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:aad360893e92486662ef3be0a339c5ca3c1b109e0134fcd37d534d4be9fb8de3"},
+ {file = "ruff-0.4.8-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:284c2e3f3396fb05f5f803c9fffb53ebbe09a3ebe7dda2929ed8d73ded736deb"},
+ {file = "ruff-0.4.8-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a7354f921e3fbe04d2a62d46707e569f9315e1a613307f7311a935743c51a764"},
+ {file = "ruff-0.4.8-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:72584676164e15a68a15778fd1b17c28a519e7a0622161eb2debdcdabdc71883"},
+ {file = "ruff-0.4.8-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9678d5c9b43315f323af2233a04d747409d1e3aa6789620083a82d1066a35199"},
+ {file = "ruff-0.4.8-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:704977a658131651a22b5ebeb28b717ef42ac6ee3b11e91dc87b633b5d83142b"},
+ {file = "ruff-0.4.8-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d05f8d6f0c3cce5026cecd83b7a143dcad503045857bc49662f736437380ad45"},
+ {file = "ruff-0.4.8-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:6ea874950daca5697309d976c9afba830d3bf0ed66887481d6bca1673fc5b66a"},
+ {file = "ruff-0.4.8-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:fc95aac2943ddf360376be9aa3107c8cf9640083940a8c5bd824be692d2216dc"},
+ {file = "ruff-0.4.8-py3-none-musllinux_1_2_i686.whl", hash = "sha256:384154a1c3f4bf537bac69f33720957ee49ac8d484bfc91720cc94172026ceed"},
+ {file = "ruff-0.4.8-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:e9d5ce97cacc99878aa0d084c626a15cd21e6b3d53fd6f9112b7fc485918e1fa"},
+ {file = "ruff-0.4.8-py3-none-win32.whl", hash = "sha256:6d795d7639212c2dfd01991259460101c22aabf420d9b943f153ab9d9706e6a9"},
+ {file = "ruff-0.4.8-py3-none-win_amd64.whl", hash = "sha256:e14a3a095d07560a9d6769a72f781d73259655919d9b396c650fc98a8157555d"},
+ {file = "ruff-0.4.8-py3-none-win_arm64.whl", hash = "sha256:14019a06dbe29b608f6b7cbcec300e3170a8d86efaddb7b23405cb7f7dcaf780"},
+ {file = "ruff-0.4.8.tar.gz", hash = "sha256:16d717b1d57b2e2fd68bd0bf80fb43931b79d05a7131aa477d66fc40fbd86268"},
]
[[package]]
@@ -8311,13 +8313,13 @@ full = ["httpx (>=0.22.0)", "itsdangerous", "jinja2", "python-multipart (>=0.0.7
[[package]]
name = "storage3"
-version = "0.7.4"
+version = "0.7.5"
description = "Supabase Storage client for Python."
optional = false
python-versions = "<4.0,>=3.8"
files = [
- {file = "storage3-0.7.4-py3-none-any.whl", hash = "sha256:0b8e8839b10a64063796ce55a41462c7ffd6842e0ada74f25f5dcf37e1d1bade"},
- {file = "storage3-0.7.4.tar.gz", hash = "sha256:61fcbf836f566405981722abb7d56caa57025b261e7a316e73316701abf0c040"},
+ {file = "storage3-0.7.5-py3-none-any.whl", hash = "sha256:a2d9fdacafdcbcdb6776a54987a7d84c3e3195a5e4782955c4ccfb36cb021f14"},
+ {file = "storage3-0.7.5.tar.gz", hash = "sha256:ffe43f3877898b43a94024e68c2aaf4cebb3ad73dbbbd67747041d1d70bbf032"},
]
[package.dependencies]
@@ -8343,30 +8345,30 @@ test = ["pylint", "pytest", "pytest-black", "pytest-cov", "pytest-pylint"]
[[package]]
name = "structlog"
-version = "24.1.0"
+version = "24.2.0"
description = "Structured Logging for Python"
optional = false
python-versions = ">=3.8"
files = [
- {file = "structlog-24.1.0-py3-none-any.whl", hash = "sha256:3f6efe7d25fab6e86f277713c218044669906537bb717c1807a09d46bca0714d"},
- {file = "structlog-24.1.0.tar.gz", hash = "sha256:41a09886e4d55df25bdcb9b5c9674bccfab723ff43e0a86a1b7b236be8e57b16"},
+ {file = "structlog-24.2.0-py3-none-any.whl", hash = "sha256:983bd49f70725c5e1e3867096c0c09665918936b3db27341b41d294283d7a48a"},
+ {file = "structlog-24.2.0.tar.gz", hash = "sha256:0e3fe74924a6d8857d3f612739efb94c72a7417d7c7c008d12276bca3b5bf13b"},
]
[package.extras]
-dev = ["structlog[tests,typing]"]
+dev = ["freezegun (>=0.2.8)", "mypy (>=1.4)", "pretend", "pytest (>=6.0)", "pytest-asyncio (>=0.17)", "rich", "simplejson", "twisted"]
docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-mermaid", "sphinxext-opengraph", "twisted"]
tests = ["freezegun (>=0.2.8)", "pretend", "pytest (>=6.0)", "pytest-asyncio (>=0.17)", "simplejson"]
typing = ["mypy (>=1.4)", "rich", "twisted"]
[[package]]
name = "supabase"
-version = "2.4.6"
+version = "2.5.0"
description = "Supabase client for Python."
optional = false
python-versions = "<4.0,>=3.8"
files = [
- {file = "supabase-2.4.6-py3-none-any.whl", hash = "sha256:0bfd6bb33c0e6d6891b55caaf689140f47588b01436fecc336d1d75090c70e8b"},
- {file = "supabase-2.4.6.tar.gz", hash = "sha256:442be0729f5fd9258326ba89859f60bfd8d9218283ed7fd8a62ae81e2f310474"},
+ {file = "supabase-2.5.0-py3-none-any.whl", hash = "sha256:13e5ed9e9377a1a69e70ad18ed7b82997cf13ffcd28173952f7503e4d5067771"},
+ {file = "supabase-2.5.0.tar.gz", hash = "sha256:133dc832dfdd617f2f90ac5b52664df96ac8a9302ac6656ee769dc3f545812f0"},
]
[package.dependencies]
@@ -8393,17 +8395,17 @@ httpx = ">=0.24,<0.28"
[[package]]
name = "sympy"
-version = "1.12"
+version = "1.12.1"
description = "Computer algebra system (CAS) in Python"
optional = false
python-versions = ">=3.8"
files = [
- {file = "sympy-1.12-py3-none-any.whl", hash = "sha256:c3588cd4295d0c0f603d0f2ae780587e64e2efeedb3521e46b9bb1d08d184fa5"},
- {file = "sympy-1.12.tar.gz", hash = "sha256:ebf595c8dac3e0fdc4152c51878b498396ec7f30e7a914d6071e674d49420fb8"},
+ {file = "sympy-1.12.1-py3-none-any.whl", hash = "sha256:9b2cbc7f1a640289430e13d2a56f02f867a1da0190f2f99d8968c2f74da0e515"},
+ {file = "sympy-1.12.1.tar.gz", hash = "sha256:2877b03f998cd8c08f07cd0de5b767119cd3ef40d09f41c30d722f6686b0fb88"},
]
[package.dependencies]
-mpmath = ">=0.19"
+mpmath = ">=1.1.0,<1.4.0"
[[package]]
name = "tbb"
@@ -8651,31 +8653,31 @@ files = [
[[package]]
name = "torch"
-version = "2.3.0"
+version = "2.3.1"
description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
optional = true
python-versions = ">=3.8.0"
files = [
- {file = "torch-2.3.0-cp310-cp310-manylinux1_x86_64.whl", hash = "sha256:d8ea5a465dbfd8501f33c937d1f693176c9aef9d1c1b0ca1d44ed7b0a18c52ac"},
- {file = "torch-2.3.0-cp310-cp310-manylinux2014_aarch64.whl", hash = "sha256:09c81c5859a5b819956c6925a405ef1cdda393c9d8a01ce3851453f699d3358c"},
- {file = "torch-2.3.0-cp310-cp310-win_amd64.whl", hash = "sha256:1bf023aa20902586f614f7682fedfa463e773e26c58820b74158a72470259459"},
- {file = "torch-2.3.0-cp310-none-macosx_11_0_arm64.whl", hash = "sha256:758ef938de87a2653bba74b91f703458c15569f1562bf4b6c63c62d9c5a0c1f5"},
- {file = "torch-2.3.0-cp311-cp311-manylinux1_x86_64.whl", hash = "sha256:493d54ee2f9df100b5ce1d18c96dbb8d14908721f76351e908c9d2622773a788"},
- {file = "torch-2.3.0-cp311-cp311-manylinux2014_aarch64.whl", hash = "sha256:bce43af735c3da16cc14c7de2be7ad038e2fbf75654c2e274e575c6c05772ace"},
- {file = "torch-2.3.0-cp311-cp311-win_amd64.whl", hash = "sha256:729804e97b7cf19ae9ab4181f91f5e612af07956f35c8b2c8e9d9f3596a8e877"},
- {file = "torch-2.3.0-cp311-none-macosx_11_0_arm64.whl", hash = "sha256:d24e328226d8e2af7cf80fcb1d2f1d108e0de32777fab4aaa2b37b9765d8be73"},
- {file = "torch-2.3.0-cp312-cp312-manylinux1_x86_64.whl", hash = "sha256:b0de2bdc0486ea7b14fc47ff805172df44e421a7318b7c4d92ef589a75d27410"},
- {file = "torch-2.3.0-cp312-cp312-manylinux2014_aarch64.whl", hash = "sha256:a306c87a3eead1ed47457822c01dfbd459fe2920f2d38cbdf90de18f23f72542"},
- {file = "torch-2.3.0-cp312-cp312-win_amd64.whl", hash = "sha256:f9b98bf1a3c8af2d4c41f0bf1433920900896c446d1ddc128290ff146d1eb4bd"},
- {file = "torch-2.3.0-cp312-none-macosx_11_0_arm64.whl", hash = "sha256:dca986214267b34065a79000cee54232e62b41dff1ec2cab9abc3fc8b3dee0ad"},
- {file = "torch-2.3.0-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:20572f426965dd8a04e92a473d7e445fa579e09943cc0354f3e6fef6130ce061"},
- {file = "torch-2.3.0-cp38-cp38-manylinux2014_aarch64.whl", hash = "sha256:e65ba85ae292909cde0dde6369826d51165a3fc8823dc1854cd9432d7f79b932"},
- {file = "torch-2.3.0-cp38-cp38-win_amd64.whl", hash = "sha256:5515503a193781fd1b3f5c474e89c9dfa2faaa782b2795cc4a7ab7e67de923f6"},
- {file = "torch-2.3.0-cp38-none-macosx_11_0_arm64.whl", hash = "sha256:6ae9f64b09516baa4ef890af0672dc981c20b1f0d829ce115d4420a247e88fba"},
- {file = "torch-2.3.0-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:cd0dc498b961ab19cb3f8dbf0c6c50e244f2f37dbfa05754ab44ea057c944ef9"},
- {file = "torch-2.3.0-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:e05f836559251e4096f3786ee99f4a8cbe67bc7fbedba8ad5e799681e47c5e80"},
- {file = "torch-2.3.0-cp39-cp39-win_amd64.whl", hash = "sha256:4fb27b35dbb32303c2927da86e27b54a92209ddfb7234afb1949ea2b3effffea"},
- {file = "torch-2.3.0-cp39-none-macosx_11_0_arm64.whl", hash = "sha256:760f8bedff506ce9e6e103498f9b1e9e15809e008368594c3a66bf74a8a51380"},
+ {file = "torch-2.3.1-cp310-cp310-manylinux1_x86_64.whl", hash = "sha256:605a25b23944be5ab7c3467e843580e1d888b8066e5aaf17ff7bf9cc30001cc3"},
+ {file = "torch-2.3.1-cp310-cp310-manylinux2014_aarch64.whl", hash = "sha256:f2357eb0965583a0954d6f9ad005bba0091f956aef879822274b1bcdb11bd308"},
+ {file = "torch-2.3.1-cp310-cp310-win_amd64.whl", hash = "sha256:32b05fe0d1ada7f69c9f86c14ff69b0ef1957a5a54199bacba63d22d8fab720b"},
+ {file = "torch-2.3.1-cp310-none-macosx_11_0_arm64.whl", hash = "sha256:7c09a94362778428484bcf995f6004b04952106aee0ef45ff0b4bab484f5498d"},
+ {file = "torch-2.3.1-cp311-cp311-manylinux1_x86_64.whl", hash = "sha256:b2ec81b61bb094ea4a9dee1cd3f7b76a44555375719ad29f05c0ca8ef596ad39"},
+ {file = "torch-2.3.1-cp311-cp311-manylinux2014_aarch64.whl", hash = "sha256:490cc3d917d1fe0bd027057dfe9941dc1d6d8e3cae76140f5dd9a7e5bc7130ab"},
+ {file = "torch-2.3.1-cp311-cp311-win_amd64.whl", hash = "sha256:5802530783bd465fe66c2df99123c9a54be06da118fbd785a25ab0a88123758a"},
+ {file = "torch-2.3.1-cp311-none-macosx_11_0_arm64.whl", hash = "sha256:a7dd4ed388ad1f3d502bf09453d5fe596c7b121de7e0cfaca1e2017782e9bbac"},
+ {file = "torch-2.3.1-cp312-cp312-manylinux1_x86_64.whl", hash = "sha256:a486c0b1976a118805fc7c9641d02df7afbb0c21e6b555d3bb985c9f9601b61a"},
+ {file = "torch-2.3.1-cp312-cp312-manylinux2014_aarch64.whl", hash = "sha256:224259821fe3e4c6f7edf1528e4fe4ac779c77addaa74215eb0b63a5c474d66c"},
+ {file = "torch-2.3.1-cp312-cp312-win_amd64.whl", hash = "sha256:e5fdccbf6f1334b2203a61a0e03821d5845f1421defe311dabeae2fc8fbeac2d"},
+ {file = "torch-2.3.1-cp312-none-macosx_11_0_arm64.whl", hash = "sha256:3c333dc2ebc189561514eda06e81df22bf8fb64e2384746b2cb9f04f96d1d4c8"},
+ {file = "torch-2.3.1-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:07e9ba746832b8d069cacb45f312cadd8ad02b81ea527ec9766c0e7404bb3feb"},
+ {file = "torch-2.3.1-cp38-cp38-manylinux2014_aarch64.whl", hash = "sha256:462d1c07dbf6bb5d9d2f3316fee73a24f3d12cd8dacf681ad46ef6418f7f6626"},
+ {file = "torch-2.3.1-cp38-cp38-win_amd64.whl", hash = "sha256:ff60bf7ce3de1d43ad3f6969983f321a31f0a45df3690921720bcad6a8596cc4"},
+ {file = "torch-2.3.1-cp38-none-macosx_11_0_arm64.whl", hash = "sha256:bee0bd33dc58aa8fc8a7527876e9b9a0e812ad08122054a5bff2ce5abf005b10"},
+ {file = "torch-2.3.1-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:aaa872abde9a3d4f91580f6396d54888620f4a0b92e3976a6034759df4b961ad"},
+ {file = "torch-2.3.1-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:3d7a7f7ef21a7520510553dc3938b0c57c116a7daee20736a9e25cbc0e832bdc"},
+ {file = "torch-2.3.1-cp39-cp39-win_amd64.whl", hash = "sha256:4777f6cefa0c2b5fa87223c213e7b6f417cf254a45e5829be4ccd1b2a4ee1011"},
+ {file = "torch-2.3.1-cp39-none-macosx_11_0_arm64.whl", hash = "sha256:2bb5af780c55be68fe100feb0528d2edebace1d55cb2e351de735809ba7391eb"},
]
[package.dependencies]
@@ -8696,7 +8698,7 @@ nvidia-cusparse-cu12 = {version = "12.1.0.106", markers = "platform_system == \"
nvidia-nccl-cu12 = {version = "2.20.5", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
nvidia-nvtx-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
sympy = "*"
-triton = {version = "2.3.0", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and python_version < \"3.12\""}
+triton = {version = "2.3.1", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and python_version < \"3.12\""}
typing-extensions = ">=4.8.0"
[package.extras]
@@ -8828,17 +8830,17 @@ vision = ["Pillow (>=10.0.1,<=15.0)"]
[[package]]
name = "triton"
-version = "2.3.0"
+version = "2.3.1"
description = "A language and compiler for custom Deep Learning operations"
optional = true
python-versions = "*"
files = [
- {file = "triton-2.3.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5ce4b8ff70c48e47274c66f269cce8861cf1dc347ceeb7a67414ca151b1822d8"},
- {file = "triton-2.3.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3c3d9607f85103afdb279938fc1dd2a66e4f5999a58eb48a346bd42738f986dd"},
- {file = "triton-2.3.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:218d742e67480d9581bafb73ed598416cc8a56f6316152e5562ee65e33de01c0"},
- {file = "triton-2.3.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:381ec6b3dac06922d3e4099cfc943ef032893b25415de295e82b1a82b0359d2c"},
- {file = "triton-2.3.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:038e06a09c06a164fef9c48de3af1e13a63dc1ba3c792871e61a8e79720ea440"},
- {file = "triton-2.3.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6d8f636e0341ac348899a47a057c3daea99ea7db31528a225a3ba4ded28ccc65"},
+ {file = "triton-2.3.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3c84595cbe5e546b1b290d2a58b1494df5a2ef066dd890655e5b8a8a92205c33"},
+ {file = "triton-2.3.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c9d64ae33bcb3a7a18081e3a746e8cf87ca8623ca13d2c362413ce7a486f893e"},
+ {file = "triton-2.3.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:eaf80e8761a9e3498aa92e7bf83a085b31959c61f5e8ac14eedd018df6fccd10"},
+ {file = "triton-2.3.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b13bf35a2b659af7159bf78e92798dc62d877aa991de723937329e2d382f1991"},
+ {file = "triton-2.3.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:63381e35ded3304704ea867ffde3b7cfc42c16a55b3062d41e017ef510433d66"},
+ {file = "triton-2.3.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1d968264523c7a07911c8fb51b4e0d1b920204dae71491b1fe7b01b62a31e124"},
]
[package.dependencies]
@@ -9014,13 +9016,13 @@ types-pyOpenSSL = "*"
[[package]]
name = "types-requests"
-version = "2.32.0.20240523"
+version = "2.32.0.20240602"
description = "Typing stubs for requests"
optional = false
python-versions = ">=3.8"
files = [
- {file = "types-requests-2.32.0.20240523.tar.gz", hash = "sha256:26b8a6de32d9f561192b9942b41c0ab2d8010df5677ca8aa146289d11d505f57"},
- {file = "types_requests-2.32.0.20240523-py3-none-any.whl", hash = "sha256:f19ed0e2daa74302069bbbbf9e82902854ffa780bc790742a810a9aaa52f65ec"},
+ {file = "types-requests-2.32.0.20240602.tar.gz", hash = "sha256:3f98d7bbd0dd94ebd10ff43a7fbe20c3b8528acace6d8efafef0b6a184793f06"},
+ {file = "types_requests-2.32.0.20240602-py3-none-any.whl", hash = "sha256:ed3946063ea9fbc6b5fc0c44fa279188bae42d582cb63760be6cb4b9d06c3de8"},
]
[package.dependencies]
@@ -9039,13 +9041,13 @@ files = [
[[package]]
name = "typing-extensions"
-version = "4.12.0"
+version = "4.12.1"
description = "Backported and Experimental Type Hints for Python 3.8+"
optional = false
python-versions = ">=3.8"
files = [
- {file = "typing_extensions-4.12.0-py3-none-any.whl", hash = "sha256:b349c66bea9016ac22978d800cfff206d5f9816951f12a7d0ec5578b0a819594"},
- {file = "typing_extensions-4.12.0.tar.gz", hash = "sha256:8cbcdc8606ebcb0d95453ad7dc5065e6237b6aa230a31e81d0f440c30fed5fd8"},
+ {file = "typing_extensions-4.12.1-py3-none-any.whl", hash = "sha256:6024b58b69089e5a89c347397254e35f1bf02a907728ec7fee9bf0fe837d203a"},
+ {file = "typing_extensions-4.12.1.tar.gz", hash = "sha256:915f5e35ff76f56588223f15fdd5938f9a1cf9195c0de25130c627e4d597f6d1"},
]
[[package]]
@@ -9161,6 +9163,35 @@ files = [
{file = "ujson-5.10.0.tar.gz", hash = "sha256:b3cd8f3c5d8c7738257f1018880444f7b7d9b66232c64649f562d7ba86ad4bc1"},
]
+[[package]]
+name = "uncurl"
+version = "0.0.11"
+description = "A library to convert curl requests to python-requests."
+optional = false
+python-versions = "*"
+files = [
+ {file = "uncurl-0.0.11-py3-none-any.whl", hash = "sha256:5961e93f07a5c9f2ef8ae4245bd92b0a6ce503c851de980f5b70080ae74cdc59"},
+ {file = "uncurl-0.0.11.tar.gz", hash = "sha256:530c9bbd4d118f4cde6194165ff484cc25b0661cd256f19e9d5fcb53fc077790"},
+]
+
+[package.dependencies]
+pyperclip = "*"
+six = "*"
+
+[[package]]
+name = "upstash-vector"
+version = "0.4.0"
+description = "Serverless Vector SDK from Upstash"
+optional = false
+python-versions = "<4.0,>=3.8"
+files = [
+ {file = "upstash_vector-0.4.0-py3-none-any.whl", hash = "sha256:1ba11d8fc7d036bf93fde741b862c9e04ad962397dc600d1dc7546b63a84da82"},
+ {file = "upstash_vector-0.4.0.tar.gz", hash = "sha256:a8ae11b2d3989c2615f1f06c66af39da763af7f7239b625fede621bf2fbb997d"},
+]
+
+[package.dependencies]
+httpx = ">=0.24.0,<0.28"
+
[[package]]
name = "uritemplate"
version = "4.1.1"
@@ -9202,13 +9233,13 @@ files = [
[[package]]
name = "uvicorn"
-version = "0.29.0"
+version = "0.30.1"
description = "The lightning-fast ASGI server."
optional = false
python-versions = ">=3.8"
files = [
- {file = "uvicorn-0.29.0-py3-none-any.whl", hash = "sha256:2c2aac7ff4f4365c206fd773a39bf4ebd1047c238f8b8268ad996829323473de"},
- {file = "uvicorn-0.29.0.tar.gz", hash = "sha256:6a69214c0b6a087462412670b3ef21224fa48cae0e452b5883e8e8bdfdd11dd0"},
+ {file = "uvicorn-0.30.1-py3-none-any.whl", hash = "sha256:cd17daa7f3b9d7a24de3617820e634d0933b69eed8e33a516071174427238c81"},
+ {file = "uvicorn-0.30.1.tar.gz", hash = "sha256:d46cd8e0fd80240baffbcd9ec1012a712938754afcf81bce56c024c1656aece8"},
]
[package.dependencies]
@@ -9272,13 +9303,13 @@ test = ["Cython (>=0.29.36,<0.30.0)", "aiohttp (==3.9.0b0)", "aiohttp (>=3.8.1)"
[[package]]
name = "validators"
-version = "0.28.1"
+version = "0.28.3"
description = "Python Data Validation for Humans™"
optional = false
python-versions = ">=3.8"
files = [
- {file = "validators-0.28.1-py3-none-any.whl", hash = "sha256:890c98789ad884037f059af6ea915ec2d667129d509180c2c590b8009a4c4219"},
- {file = "validators-0.28.1.tar.gz", hash = "sha256:5ac88e7916c3405f0ce38ac2ac82a477fcf4d90dbbeddd04c8193171fc17f7dc"},
+ {file = "validators-0.28.3-py3-none-any.whl", hash = "sha256:53cafa854f13850156259d9cc479b864ee901f6a96e6b109e6fc33f98f37d99f"},
+ {file = "validators-0.28.3.tar.gz", hash = "sha256:c6c79840bcde9ba77b19f6218f7738188115e27830cbaff43264bc4ed24c429d"},
]
[[package]]
@@ -9426,13 +9457,13 @@ files = [
[[package]]
name = "weaviate-client"
-version = "4.6.3"
+version = "4.6.4"
description = "A python native Weaviate client"
optional = false
python-versions = ">=3.8"
files = [
- {file = "weaviate_client-4.6.3-py3-none-any.whl", hash = "sha256:b2921f9aea84a4eccb1c75d55dd2857a87241e5536540fb96ffdf4737ed4fe8a"},
- {file = "weaviate_client-4.6.3.tar.gz", hash = "sha256:a6e638f746f91c310fe6680cffa77949718f17d8b40b966f7037028cacfd94e0"},
+ {file = "weaviate_client-4.6.4-py3-none-any.whl", hash = "sha256:19b76fb923a5f0b6fcb7471ef3cd990d2791ede71731e53429e1066a9dbf2af2"},
+ {file = "weaviate_client-4.6.4.tar.gz", hash = "sha256:5378db8a33bf1d48adff3f9efa572d9fb04eaeb36444817cab56f1ba3c595500"},
]
[package.dependencies]
@@ -9443,7 +9474,7 @@ grpcio-tools = ">=1.57.0,<2.0.0"
httpx = ">=0.25.0,<=0.27.0"
pydantic = ">=2.5.0,<3.0.0"
requests = ">=2.30.0,<3.0.0"
-validators = "0.28.1"
+validators = "0.28.3"
[[package]]
name = "websocket-client"
@@ -9931,18 +9962,18 @@ pydantic = ">=2.0.0"
[[package]]
name = "zipp"
-version = "3.19.0"
+version = "3.19.2"
description = "Backport of pathlib-compatible object wrapper for zip files"
optional = false
python-versions = ">=3.8"
files = [
- {file = "zipp-3.19.0-py3-none-any.whl", hash = "sha256:96dc6ad62f1441bcaccef23b274ec471518daf4fbbc580341204936a5a3dddec"},
- {file = "zipp-3.19.0.tar.gz", hash = "sha256:952df858fb3164426c976d9338d3961e8e8b3758e2e059e0f754b8c4262625ee"},
+ {file = "zipp-3.19.2-py3-none-any.whl", hash = "sha256:f091755f667055f2d02b32c53771a7a6c8b47e1fdbc4b72a8b9072b3eef8015c"},
+ {file = "zipp-3.19.2.tar.gz", hash = "sha256:bf1dcf6450f873a13e952a29504887c89e6de7506209e5b1bcc3460135d4de19"},
]
[package.extras]
-docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
-testing = ["big-O", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"]
+doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"]
[[package]]
name = "zope-event"
@@ -10016,10 +10047,11 @@ test = ["coverage (>=5.0.3)", "zope.event", "zope.testing"]
testing = ["coverage (>=5.0.3)", "zope.event", "zope.testing"]
[extras]
+couchbase = ["couchbase"]
deploy = ["celery", "flower", "redis"]
local = ["ctransformers", "llama-cpp-python", "sentence-transformers"]
[metadata]
lock-version = "2.0"
python-versions = ">=3.10,<3.13"
-content-hash = "36778b105f6f6e5efd0c1d37651d7b97defb0bc0db74b868a41e38de22251924"
+content-hash = "83c94ed0fa28b968553221385251b871139a7440ab0420f867efbe16568b8411"
diff --git a/pyproject.toml b/pyproject.toml
index 83834f95e..ba679df83 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
[tool.poetry]
name = "langflow"
-version = "1.0.0a38"
+version = "1.0.0a46"
description = "A Python package with a built-in web application"
authors = ["Langflow "]
maintainers = [
@@ -81,10 +81,11 @@ langchain-google-vertexai = "^1.0.3"
langchain-groq = "^0.1.3"
langchain-pinecone = "^0.1.0"
langchain-mistralai = "^0.1.6"
-couchbase = "^4.2.1"
+couchbase = { extras = ["couchbase"], version = "^4.2.1", optional = true }
youtube-transcript-api = "^0.6.2"
markdown = "^3.6"
langchain-chroma = "^0.1.1"
+upstash-vector = "^0.4.0"
[tool.poetry.group.dev.dependencies]
@@ -117,6 +118,7 @@ vulture = "^2.11"
[tool.poetry.extras]
deploy = ["celery", "redis", "flower"]
+couchbase = ["couchbase"]
local = ["llama-cpp-python", "sentence-transformers", "ctransformers"]
@@ -139,7 +141,7 @@ testpaths = ["tests", "integration"]
console_output_style = "progress"
filterwarnings = ["ignore::DeprecationWarning"]
log_cli = true
-markers = ["async_test"]
+markers = ["async_test", "api_key_required"]
[tool.ruff]
diff --git a/render.yaml b/render.yaml
index 9276efee1..919a3e21f 100644
--- a/render.yaml
+++ b/render.yaml
@@ -3,7 +3,7 @@ services:
- type: web
name: langflow
runtime: docker
- dockerfilePath: ./docker/render.Dockerfile
+ dockerfilePath: ./docker/render.pre-release.Dockerfile
repo: https://github.com/langflow-ai/langflow
branch: dev
healthCheckPath: /health
diff --git a/scripts/factory_restart_space.py b/scripts/factory_restart_space.py
new file mode 100644
index 000000000..e9972e8cb
--- /dev/null
+++ b/scripts/factory_restart_space.py
@@ -0,0 +1,16 @@
+import os
+
+from huggingface_hub import HfApi, list_models
+from rich import print
+
+# Use root method
+models = list_models()
+
+# Or configure a HfApi client
+hf_api = HfApi(
+ endpoint="https://huggingface.co", # Can be a Private Hub endpoint.
+ token=os.getenv("HUGGINFACE_API_TOKEN"),
+)
+
+space_runtime = hf_api.restart_space("Langflow/Langflow-Preview", factory_reboot=True)
+print(space_runtime)
diff --git a/src/backend/base/langflow/__main__.py b/src/backend/base/langflow/__main__.py
index 4d59b3149..343188336 100644
--- a/src/backend/base/langflow/__main__.py
+++ b/src/backend/base/langflow/__main__.py
@@ -77,7 +77,7 @@ def set_var_for_macos_issue():
def run(
host: str = typer.Option("127.0.0.1", help="Host to bind the server to.", envvar="LANGFLOW_HOST"),
workers: int = typer.Option(1, help="Number of worker processes.", envvar="LANGFLOW_WORKERS"),
- timeout: int = typer.Option(300, help="Worker timeout in seconds."),
+ timeout: int = typer.Option(300, help="Worker timeout in seconds.", envvar="LANGFLOW_WORKER_TIMEOUT"),
port: int = typer.Option(7860, help="Port to listen on.", envvar="LANGFLOW_PORT"),
components_path: Optional[Path] = typer.Option(
Path(__file__).parent / "components",
@@ -121,7 +121,7 @@ def run(
),
):
"""
- Run the Langflow.
+ Run Langflow.
"""
configure(log_level=log_level, log_file=log_file)
@@ -145,6 +145,10 @@ def run(
if is_port_in_use(port, host):
port = get_free_port(port)
+ settings_service = get_settings_service()
+
+ settings_service.set("worker_timeout", timeout)
+
options = {
"bind": f"{host}:{port}",
"workers": get_number_of_workers(workers),
diff --git a/src/backend/base/langflow/alembic/script.py.mako b/src/backend/base/langflow/alembic/script.py.mako
index bc9bca83a..6086a860c 100644
--- a/src/backend/base/langflow/alembic/script.py.mako
+++ b/src/backend/base/langflow/alembic/script.py.mako
@@ -11,6 +11,7 @@ from alembic import op
import sqlalchemy as sa
import sqlmodel
from sqlalchemy.engine.reflection import Inspector
+from langflow.utils import migration
${imports if imports else ""}
# revision identifiers, used by Alembic.
@@ -22,13 +23,9 @@ depends_on: Union[str, Sequence[str], None] = ${repr(depends_on)}
def upgrade() -> None:
conn = op.get_bind()
- inspector = Inspector.from_engine(conn) # type: ignore
- table_names = inspector.get_table_names()
${upgrades if upgrades else "pass"}
def downgrade() -> None:
conn = op.get_bind()
- inspector = Inspector.from_engine(conn) # type: ignore
- table_names = inspector.get_table_names()
${downgrades if downgrades else "pass"}
diff --git a/src/backend/base/langflow/alembic/versions/012fb73ac359_add_folder_table.py b/src/backend/base/langflow/alembic/versions/012fb73ac359_add_folder_table.py
index b9ebc2ca2..a9b9b6c00 100644
--- a/src/backend/base/langflow/alembic/versions/012fb73ac359_add_folder_table.py
+++ b/src/backend/base/langflow/alembic/versions/012fb73ac359_add_folder_table.py
@@ -48,10 +48,12 @@ def upgrade() -> None:
with op.batch_alter_table("folder", schema=None) as batch_op:
batch_op.create_index(batch_op.f("ix_folder_name"), ["name"], unique=False)
- if "folder_id" not in inspector.get_columns("flow"):
- with op.batch_alter_table("flow", schema=None) as batch_op:
+ column_names = [column["name"] for column in inspector.get_columns("flow")]
+ with op.batch_alter_table("flow", schema=None) as batch_op:
+ if "folder_id" not in column_names:
batch_op.add_column(sa.Column("folder_id", sqlmodel.sql.sqltypes.GUID(), nullable=True))
batch_op.create_foreign_key("flow_folder_id_fkey", "folder", ["folder_id"], ["id"])
+ if "folder" in column_names:
batch_op.drop_column("folder")
# ### end Alembic commands ###
@@ -62,11 +64,13 @@ def downgrade() -> None:
inspector = Inspector.from_engine(conn) # type: ignore
table_names = inspector.get_table_names()
# ### commands auto generated by Alembic - please adjust! ###
- if "folder_id" in inspector.get_columns("flow"):
- with op.batch_alter_table("flow", schema=None) as batch_op:
+ column_names = [column["name"] for column in inspector.get_columns("flow")]
+ with op.batch_alter_table("flow", schema=None) as batch_op:
+ if "folder" not in column_names:
batch_op.add_column(sa.Column("folder", sa.VARCHAR(), nullable=True))
- batch_op.drop_constraint("flow_folder_id_fkey", type_="foreignkey")
+ if "folder_id" in column_names:
batch_op.drop_column("folder_id")
+ batch_op.drop_constraint("flow_folder_id_fkey", type_="foreignkey")
indexes = inspector.get_indexes("folder")
if "ix_folder_name" in [index["name"] for index in indexes]:
diff --git a/src/backend/base/langflow/alembic/versions/1c79524817ed_add_unique_constraints_per_user_in_.py b/src/backend/base/langflow/alembic/versions/1c79524817ed_add_unique_constraints_per_user_in_.py
new file mode 100644
index 000000000..0feec1b8b
--- /dev/null
+++ b/src/backend/base/langflow/alembic/versions/1c79524817ed_add_unique_constraints_per_user_in_.py
@@ -0,0 +1,42 @@
+"""Add unique constraints per user in folder table
+
+Revision ID: 1c79524817ed
+Revises: 3bb0ddf32dfb
+Create Date: 2024-05-29 23:12:09.146880
+
+"""
+
+from typing import Sequence, Union
+
+from alembic import op
+from sqlalchemy.engine.reflection import Inspector
+
+# revision identifiers, used by Alembic.
+revision: str = "1c79524817ed"
+down_revision: Union[str, None] = "3bb0ddf32dfb"
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+ conn = op.get_bind()
+ inspector = Inspector.from_engine(conn) # type: ignore
+ constraints_names = [constraint["name"] for constraint in inspector.get_unique_constraints("folder")]
+ # ### commands auto generated by Alembic - please adjust! ###
+ with op.batch_alter_table("folder", schema=None) as batch_op:
+ if "unique_folder_name" not in constraints_names:
+ batch_op.create_unique_constraint("unique_folder_name", ["user_id", "name"])
+
+ # ### end Alembic commands ###
+
+
+def downgrade() -> None:
+ conn = op.get_bind()
+ inspector = Inspector.from_engine(conn) # type: ignore
+ constraints_names = [constraint["name"] for constraint in inspector.get_unique_constraints("folder")]
+ # ### commands auto generated by Alembic - please adjust! ###
+ with op.batch_alter_table("folder", schema=None) as batch_op:
+ if "unique_folder_name" in constraints_names:
+ batch_op.drop_constraint("unique_folder_name", type_="unique")
+
+ # ### end Alembic commands ###
diff --git a/src/backend/base/langflow/alembic/versions/3bb0ddf32dfb_add_unique_constraints_per_user_in_flow_.py b/src/backend/base/langflow/alembic/versions/3bb0ddf32dfb_add_unique_constraints_per_user_in_flow_.py
new file mode 100644
index 000000000..699df1437
--- /dev/null
+++ b/src/backend/base/langflow/alembic/versions/3bb0ddf32dfb_add_unique_constraints_per_user_in_flow_.py
@@ -0,0 +1,54 @@
+"""Add unique constraints per user in flow table
+
+Revision ID: 3bb0ddf32dfb
+Revises: a72f5cf9c2f9
+Create Date: 2024-05-29 23:08:43.935040
+
+"""
+
+from typing import Sequence, Union
+
+from alembic import op
+from sqlalchemy.engine.reflection import Inspector
+
+# revision identifiers, used by Alembic.
+revision: str = "3bb0ddf32dfb"
+down_revision: Union[str, None] = "a72f5cf9c2f9"
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+ conn = op.get_bind()
+ inspector = Inspector.from_engine(conn) # type: ignore
+ # ### commands auto generated by Alembic - please adjust! ###
+ indexes_names = [index["name"] for index in inspector.get_indexes("flow")]
+ constraints_names = [constraint["name"] for constraint in inspector.get_unique_constraints("flow")]
+ with op.batch_alter_table("flow", schema=None) as batch_op:
+ if "ix_flow_endpoint_name" in indexes_names:
+ batch_op.drop_index("ix_flow_endpoint_name")
+ batch_op.create_index(batch_op.f("ix_flow_endpoint_name"), ["endpoint_name"], unique=False)
+ if "unique_flow_endpoint_name" not in constraints_names:
+ batch_op.create_unique_constraint("unique_flow_endpoint_name", ["user_id", "endpoint_name"])
+ if "unique_flow_name" not in constraints_names:
+ batch_op.create_unique_constraint("unique_flow_name", ["user_id", "name"])
+
+ # ### end Alembic commands ###
+
+
+def downgrade() -> None:
+ conn = op.get_bind()
+ inspector = Inspector.from_engine(conn) # type: ignore
+ # ### commands auto generated by Alembic - please adjust! ###
+ indexes_names = [index["name"] for index in inspector.get_indexes("flow")]
+ constraints_names = [constraint["name"] for constraint in inspector.get_unique_constraints("flow")]
+ with op.batch_alter_table("flow", schema=None) as batch_op:
+ if "unique_flow_name" in constraints_names:
+ batch_op.drop_constraint("unique_flow_name", type_="unique")
+ if "unique_flow_endpoint_name" in constraints_names:
+ batch_op.drop_constraint("unique_flow_endpoint_name", type_="unique")
+ if "ix_flow_endpoint_name" in indexes_names:
+ batch_op.drop_index(batch_op.f("ix_flow_endpoint_name"))
+ batch_op.create_index("ix_flow_endpoint_name", ["endpoint_name"], unique=1)
+
+ # ### end Alembic commands ###
diff --git a/src/backend/base/langflow/alembic/versions/631faacf5da2_add_webhook_columns.py b/src/backend/base/langflow/alembic/versions/631faacf5da2_add_webhook_columns.py
new file mode 100644
index 000000000..379fba17c
--- /dev/null
+++ b/src/backend/base/langflow/alembic/versions/631faacf5da2_add_webhook_columns.py
@@ -0,0 +1,45 @@
+"""Add webhook columns
+
+Revision ID: 631faacf5da2
+Revises: 1c79524817ed
+Create Date: 2024-04-22 15:14:43.454784
+
+"""
+
+from typing import Sequence, Union
+
+import sqlalchemy as sa
+from alembic import op
+from sqlalchemy.engine.reflection import Inspector
+
+# revision identifiers, used by Alembic.
+revision: str = "631faacf5da2"
+down_revision: Union[str, None] = "1c79524817ed"
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+ conn = op.get_bind()
+ inspector = Inspector.from_engine(conn) # type: ignore
+ table_names = inspector.get_table_names()
+ # ### commands auto generated by Alembic - please adjust! ###
+ column_names = [column["name"] for column in inspector.get_columns("flow")]
+ with op.batch_alter_table("flow", schema=None) as batch_op:
+ if "flow" in table_names and "webhook" not in column_names:
+ batch_op.add_column(sa.Column("webhook", sa.Boolean(), nullable=True))
+
+ # ### end Alembic commands ###
+
+
+def downgrade() -> None:
+ conn = op.get_bind()
+ inspector = Inspector.from_engine(conn) # type: ignore
+ table_names = inspector.get_table_names()
+ # ### commands auto generated by Alembic - please adjust! ###
+ column_names = [column["name"] for column in inspector.get_columns("flow")]
+ with op.batch_alter_table("flow", schema=None) as batch_op:
+ if "flow" in table_names and "webhook" in column_names:
+ batch_op.drop_column("webhook")
+
+ # ### end Alembic commands ###
diff --git a/src/backend/base/langflow/alembic/versions/7d2162acc8b2_adds_updated_at_and_folder_cols.py b/src/backend/base/langflow/alembic/versions/7d2162acc8b2_adds_updated_at_and_folder_cols.py
index b46400899..7499b32ae 100644
--- a/src/backend/base/langflow/alembic/versions/7d2162acc8b2_adds_updated_at_and_folder_cols.py
+++ b/src/backend/base/langflow/alembic/versions/7d2162acc8b2_adds_updated_at_and_folder_cols.py
@@ -52,9 +52,14 @@ def upgrade() -> None:
def downgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ###
try:
+ conn = op.get_bind()
+ inspector = Inspector.from_engine(conn) # type: ignore
+ column_names = [column["name"] for column in inspector.get_columns("flow")]
with op.batch_alter_table("flow", schema=None) as batch_op:
- batch_op.drop_column("folder")
- batch_op.drop_column("updated_at")
+ if "folder" in column_names:
+ batch_op.drop_column("folder")
+ if "updated_at" in column_names:
+ batch_op.drop_column("updated_at")
except Exception as e:
print(e)
pass
diff --git a/src/backend/base/langflow/alembic/versions/a72f5cf9c2f9_add_endpoint_name_col.py b/src/backend/base/langflow/alembic/versions/a72f5cf9c2f9_add_endpoint_name_col.py
new file mode 100644
index 000000000..3d6dd604c
--- /dev/null
+++ b/src/backend/base/langflow/alembic/versions/a72f5cf9c2f9_add_endpoint_name_col.py
@@ -0,0 +1,52 @@
+"""Add endpoint name col
+
+Revision ID: a72f5cf9c2f9
+Revises: 29fe8f1f806b
+Create Date: 2024-05-29 21:44:04.240816
+
+"""
+
+from typing import Sequence, Union
+
+import sqlalchemy as sa
+import sqlmodel
+from alembic import op
+from sqlalchemy.engine.reflection import Inspector
+
+# revision identifiers, used by Alembic.
+revision: str = "a72f5cf9c2f9"
+down_revision: Union[str, None] = "29fe8f1f806b"
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+ conn = op.get_bind()
+ inspector = Inspector.from_engine(conn) # type: ignore
+ # ### commands auto generated by Alembic - please adjust! ###
+ column_names = [column["name"] for column in inspector.get_columns("flow")]
+ indexes = inspector.get_indexes("flow")
+ index_names = [index["name"] for index in indexes]
+ with op.batch_alter_table("flow", schema=None) as batch_op:
+ if "endpoint_name" not in column_names:
+ batch_op.add_column(sa.Column("endpoint_name", sqlmodel.sql.sqltypes.AutoString(), nullable=True))
+ if "ix_flow_endpoint_name" not in index_names:
+ batch_op.create_index(batch_op.f("ix_flow_endpoint_name"), ["endpoint_name"], unique=True)
+
+ # ### end Alembic commands ###
+
+
+def downgrade() -> None:
+ conn = op.get_bind()
+ inspector = Inspector.from_engine(conn) # type: ignore
+ # ### commands auto generated by Alembic - please adjust! ###
+ column_names = [column["name"] for column in inspector.get_columns("flow")]
+ indexes = inspector.get_indexes("flow")
+ index_names = [index["name"] for index in indexes]
+ with op.batch_alter_table("flow", schema=None) as batch_op:
+ if "ix_flow_endpoint_name" in index_names:
+ batch_op.drop_index(batch_op.f("ix_flow_endpoint_name"))
+ if "endpoint_name" in column_names:
+ batch_op.drop_column("endpoint_name")
+
+ # ### end Alembic commands ###
diff --git a/src/backend/base/langflow/api/utils.py b/src/backend/base/langflow/api/utils.py
index ffb5f22c9..cc38b474a 100644
--- a/src/backend/base/langflow/api/utils.py
+++ b/src/backend/base/langflow/api/utils.py
@@ -286,7 +286,7 @@ async def get_next_runnable_vertices(
for v_id in set(next_runnable_vertices): # Use set to avoid duplicates
graph.vertices_to_run.remove(v_id)
graph.remove_from_predecessors(v_id)
- await chat_service.set_cache(flow_id=flow_id, data=graph, lock=lock)
+ await chat_service.set_cache(key=flow_id, data=graph, lock=lock)
return next_runnable_vertices
diff --git a/src/backend/base/langflow/api/v1/chat.py b/src/backend/base/langflow/api/v1/chat.py
index 23dea900b..fbb763e8d 100644
--- a/src/backend/base/langflow/api/v1/chat.py
+++ b/src/backend/base/langflow/api/v1/chat.py
@@ -1,6 +1,5 @@
import time
import uuid
-from functools import partial
from typing import TYPE_CHECKING, Annotated, Optional
from fastapi import APIRouter, BackgroundTasks, Body, Depends, HTTPException
@@ -162,7 +161,6 @@ async def build_vertex(
vertex = graph.get_vertex(vertex_id)
try:
lock = chat_service._cache_locks[flow_id_str]
- set_cache_coro = partial(chat_service.set_cache, flow_id=flow_id_str)
(
next_runnable_vertices,
top_level_vertices,
@@ -173,7 +171,7 @@ async def build_vertex(
vertex,
) = await graph.build_vertex(
lock=lock,
- set_cache_coro=set_cache_coro,
+ chat_service=chat_service,
vertex_id=vertex_id,
user_id=current_user.id,
inputs_dict=inputs.model_dump() if inputs else {},
diff --git a/src/backend/base/langflow/api/v1/endpoints.py b/src/backend/base/langflow/api/v1/endpoints.py
index b47774c8b..d7b52ed32 100644
--- a/src/backend/base/langflow/api/v1/endpoints.py
+++ b/src/backend/base/langflow/api/v1/endpoints.py
@@ -1,14 +1,15 @@
from http import HTTPStatus
-from typing import Annotated, List, Optional, Union
+from typing import TYPE_CHECKING, Annotated, List, Optional, Union
from uuid import UUID
import sqlalchemy as sa
-from fastapi import APIRouter, Body, Depends, HTTPException, UploadFile, status
+from fastapi import APIRouter, BackgroundTasks, Body, Depends, HTTPException, Request, UploadFile, status
from loguru import logger
from sqlmodel import Session, select
from langflow.api.utils import update_frontend_node_with_template_values
from langflow.api.v1.schemas import (
+ ConfigResponse,
CustomComponentRequest,
InputValueRequest,
ProcessResponse,
@@ -21,17 +22,22 @@ from langflow.api.v1.schemas import (
from langflow.custom import CustomComponent
from langflow.custom.utils import build_custom_component_template
from langflow.graph.graph.base import Graph
+from langflow.graph.schema import RunOutputs
+from langflow.helpers.flow import get_flow_by_id_or_endpoint_name
from langflow.processing.process import process_tweaks, run_graph_internal
from langflow.schema.graph import Tweaks
from langflow.services.auth.utils import api_key_security, get_current_active_user
from langflow.services.cache.utils import save_uploaded_file
from langflow.services.database.models.flow import Flow
+from langflow.services.database.models.flow.utils import get_all_webhook_components_in_flow, get_flow_by_id
from langflow.services.database.models.user.model import User
from langflow.services.deps import get_session, get_session_service, get_settings_service, get_task_service
from langflow.services.session.service import SessionService
from langflow.services.task.service import TaskService
-# build router
+if TYPE_CHECKING:
+ from langflow.services.settings.manager import SettingsService
+
router = APIRouter(tags=["Base"])
@@ -50,10 +56,70 @@ def get_all(
raise HTTPException(status_code=500, detail=str(exc)) from exc
-@router.post("/run/{flow_id}", response_model=RunResponse, response_model_exclude_none=True)
+async def simple_run_flow(
+ db: Session,
+ flow: Flow,
+ input_request: SimplifiedAPIRequest,
+ session_service: SessionService,
+ stream: bool = False,
+ api_key_user: Optional[User] = None,
+):
+ try:
+ task_result: List[RunOutputs] = []
+ artifacts = {}
+ user_id = api_key_user.id if api_key_user else None
+ flow_id_str = str(flow.id)
+ if input_request.session_id:
+ session_data = await session_service.load_session(input_request.session_id, flow_id=flow_id_str)
+ graph, artifacts = session_data if session_data else (None, None)
+ if graph is None:
+ raise ValueError(f"Session {input_request.session_id} not found")
+ else:
+ if flow.data is None:
+ raise ValueError(f"Flow {flow_id_str} has no data")
+ graph_data = flow.data
+ graph_data = process_tweaks(graph_data, input_request.tweaks or {}, stream=stream)
+ graph = Graph.from_payload(graph_data, flow_id=flow_id_str, user_id=str(user_id))
+ inputs = [
+ InputValueRequest(components=[], input_value=input_request.input_value, type=input_request.input_type)
+ ]
+ if input_request.output_component:
+ outputs = [input_request.output_component]
+ else:
+ outputs = [
+ vertex.id
+ for vertex in graph.vertices
+ if input_request.output_type == "debug"
+ or (
+ vertex.is_output
+ and (input_request.output_type == "any" or input_request.output_type in vertex.id.lower())
+ )
+ ]
+ task_result, session_id = await run_graph_internal(
+ graph=graph,
+ flow_id=flow_id_str,
+ session_id=input_request.session_id,
+ inputs=inputs,
+ outputs=outputs,
+ artifacts=artifacts,
+ session_service=session_service,
+ stream=stream,
+ )
+
+ return RunResponse(outputs=task_result, session_id=session_id)
+
+ except sa.exc.StatementError as exc:
+ # StatementError('(builtins.ValueError) badly formed hexadecimal UUID string')
+ if "badly formed hexadecimal UUID string" in str(exc):
+ logger.error(f"Flow ID {flow_id_str} is not a valid UUID")
+ # This means the Flow ID is not a valid UUID which means it can't find the flow
+ raise ValueError(str(exc)) from exc
+
+
+@router.post("/run/{flow_id_or_name}", response_model=RunResponse, response_model_exclude_none=True)
async def simplified_run_flow(
db: Annotated[Session, Depends(get_session)],
- flow_id: UUID,
+ flow: Annotated[Flow, Depends(get_flow_by_id_or_endpoint_name)],
input_request: SimplifiedAPIRequest = SimplifiedAPIRequest(),
stream: bool = False,
api_key_user: User = Depends(api_key_security),
@@ -64,7 +130,7 @@ async def simplified_run_flow(
### Parameters:
- `db` (Session): Database session for executing queries.
- - `flow_id` (str): Unique identifier of the flow to be executed.
+ - `flow_id_or_name` (str): ID or endpoint name of the flow to run.
- `input_request` (SimplifiedAPIRequest): Request object containing input values, types, output selection, tweaks, and session ID.
- `api_key_user` (User): User object derived from the provided API key, used for authentication.
- `session_service` (SessionService): Service for managing flow sessions, essential for session reuse and caching.
@@ -107,73 +173,21 @@ async def simplified_run_flow(
This endpoint provides a powerful interface for executing flows with enhanced flexibility and efficiency, supporting a wide range of applications by allowing for dynamic input and output configuration along with performance optimizations through session management and caching.
"""
- session_id = input_request.session_id
-
try:
- flow_id_str = str(flow_id)
- artifacts = {}
- if input_request.session_id:
- session_data = await session_service.load_session(input_request.session_id, flow_id=flow_id_str)
- graph, artifacts = session_data if session_data else (None, None)
- if graph is None:
- raise ValueError(f"Session {input_request.session_id} not found")
- else:
- # Get the flow that matches the flow_id and belongs to the user
- # flow = session.query(Flow).filter(Flow.id == flow_id).filter(Flow.user_id == api_key_user.id).first()
- flow = db.exec(select(Flow).where(Flow.id == flow_id_str).where(Flow.user_id == api_key_user.id)).first()
- if flow is None:
- raise ValueError(f"Flow {flow_id_str} not found")
-
- if flow.data is None:
- raise ValueError(f"Flow {flow_id_str} has no data")
- graph_data = flow.data
-
- graph_data = process_tweaks(graph_data, input_request.tweaks or {}, stream=stream)
- graph = Graph.from_payload(graph_data, flow_id=flow_id_str, user_id=str(api_key_user.id))
- inputs = [
- InputValueRequest(components=[], input_value=input_request.input_value, type=input_request.input_type)
- ]
- # outputs is a list of all components that should return output
- # we need to get them by checking their type
- # if the output type is debug, we return all outputs
- # if the output type is any, we return all outputs that are either chat or text
- # if the output type is chat or text, we return only the outputs that match the type
- if input_request.output_component:
- outputs = [input_request.output_component]
- else:
- outputs = [
- vertex.id
- for vertex in graph.vertices
- if input_request.output_type == "debug"
- or (
- vertex.is_output
- and (input_request.output_type == "any" or input_request.output_type in vertex.id.lower())
- )
- ]
- task_result, session_id = await run_graph_internal(
- graph=graph,
- flow_id=flow_id_str,
- session_id=input_request.session_id,
- inputs=inputs,
- outputs=outputs,
- artifacts=artifacts,
+ return await simple_run_flow(
+ db=db,
+ flow=flow,
+ input_request=input_request,
session_service=session_service,
stream=stream,
+ api_key_user=api_key_user,
)
- return RunResponse(outputs=task_result, session_id=session_id)
- except sa.exc.StatementError as exc:
- # StatementError('(builtins.ValueError) badly formed hexadecimal UUID string')
- if "badly formed hexadecimal UUID string" in str(exc):
- logger.error(f"Flow ID {flow_id_str} is not a valid UUID")
- # This means the Flow ID is not a valid UUID which means it can't find the flow
- raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=str(exc)) from exc
except ValueError as exc:
- if f"Flow {flow_id_str} not found" in str(exc):
- logger.error(f"Flow {flow_id_str} not found")
- raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=str(exc)) from exc
- elif f"Session {session_id} not found" in str(exc):
- logger.error(f"Session {session_id} not found")
+ if "badly formed hexadecimal UUID string" in str(exc):
+ # This means the Flow ID is not a valid UUID which means it can't find the flow
+ raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail=str(exc)) from exc
+ if "not found" in str(exc):
raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=str(exc)) from exc
else:
logger.exception(exc)
@@ -183,6 +197,68 @@ async def simplified_run_flow(
raise HTTPException(status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, detail=str(exc)) from exc
+@router.post("/webhook/{flow_id}", response_model=dict, status_code=HTTPStatus.ACCEPTED)
+async def webhook_run_flow(
+ db: Annotated[Session, Depends(get_session)],
+ flow: Annotated[Flow, Depends(get_flow_by_id)],
+ request: Request,
+ background_tasks: BackgroundTasks,
+ session_service: SessionService = Depends(get_session_service),
+):
+ """
+ Run a flow using a webhook request.
+
+ Args:
+ db (Session): The database session.
+ request (Request): The incoming HTTP request.
+ background_tasks (BackgroundTasks): The background tasks manager.
+ session_service (SessionService, optional): The session service. Defaults to Depends(get_session_service).
+ flow (Flow, optional): The flow to be executed. Defaults to Depends(get_flow_by_id).
+
+ Returns:
+ dict: A dictionary containing the status of the task.
+
+ Raises:
+ HTTPException: If the flow is not found or if there is an error processing the request.
+ """
+ try:
+ logger.debug("Received webhook request")
+ data = await request.body()
+ if not data:
+ logger.error("Request body is empty")
+ raise ValueError(
+ "Request body is empty. You should provide a JSON payload containing the flow ID.",
+ )
+
+ # get all webhook components in the flow
+ webhook_components = get_all_webhook_components_in_flow(flow.data)
+ tweaks = {}
+ data_dict = await request.json()
+ for component in webhook_components:
+ tweaks[component["id"]] = {"data": data.decode() if isinstance(data, bytes) else data}
+ input_request = SimplifiedAPIRequest(
+ input_value=data_dict.get("input_value", ""),
+ input_type=data_dict.get("input_type", "chat"),
+ output_type=data_dict.get("output_type", "chat"),
+ tweaks=tweaks,
+ session_id=data_dict.get("session_id"),
+ )
+ logger.debug("Starting background task")
+ background_tasks.add_task(
+ simple_run_flow,
+ db=db,
+ flow=flow,
+ input_request=input_request,
+ session_service=session_service,
+ )
+ return {"message": "Task started in the background", "status": "in progress"}
+ except Exception as exc:
+ if "Flow ID is required" in str(exc) or "Request body is empty" in str(exc):
+ raise HTTPException(status_code=400, detail=str(exc)) from exc
+ logger.exception(exc)
+ raise HTTPException(status_code=500, detail=str(exc)) from exc
+
+
@router.post("/run/advanced/{flow_id}", response_model=RunResponse, response_model_exclude_none=True)
async def experimental_run_flow(
session: Annotated[Session, Depends(get_session)],
@@ -440,3 +516,15 @@ async def custom_component_update(
except Exception as exc:
logger.exception(exc)
raise HTTPException(status_code=400, detail=str(exc)) from exc
+
+
+@router.get("/config", response_model=ConfigResponse)
+def get_config():
+ try:
+ from langflow.services.deps import get_settings_service
+
+ settings_service: "SettingsService" = get_settings_service()
+ return settings_service.settings.model_dump()
+ except Exception as exc:
+ logger.exception(exc)
+ raise HTTPException(status_code=500, detail=str(exc)) from exc
diff --git a/src/backend/base/langflow/api/v1/flows.py b/src/backend/base/langflow/api/v1/flows.py
index ce7d34cf6..c1ccf68db 100644
--- a/src/backend/base/langflow/api/v1/flows.py
+++ b/src/backend/base/langflow/api/v1/flows.py
@@ -9,10 +9,11 @@ from loguru import logger
from sqlmodel import Session, col, select
from langflow.api.utils import remove_api_keys, validate_is_component
-from langflow.api.v1.schemas import FlowListCreate, FlowListIds, FlowListRead
+from langflow.api.v1.schemas import FlowListCreate, FlowListRead
from langflow.initial_setup.setup import STARTER_FOLDER_NAME
from langflow.services.auth.utils import get_current_active_user
from langflow.services.database.models.flow import Flow, FlowCreate, FlowRead, FlowUpdate
+from langflow.services.database.models.flow.utils import get_webhook_component_in_flow
from langflow.services.database.models.folder.constants import DEFAULT_FOLDER_NAME
from langflow.services.database.models.folder.model import Folder
from langflow.services.database.models.user.model import User
@@ -57,8 +58,22 @@ def read_flows(
current_user: User = Depends(get_current_active_user),
session: Session = Depends(get_session),
settings_service: "SettingsService" = Depends(get_settings_service),
+ remove_example_flows: bool = False,
):
- """Read all flows."""
+ """
+ Retrieve a list of flows.
+
+ Args:
+ current_user (User): The current authenticated user.
+ session (Session): The database session.
+ settings_service (SettingsService): The settings service.
+ remove_example_flows (bool, optional): Whether to remove example flows. Defaults to False.
+
+
+ Returns:
+ List[Dict]: A list of flows in JSON format.
+ """
+
try:
auth_settings = settings_service.auth_settings
if auth_settings.AUTO_LOGIN:
@@ -73,15 +88,16 @@ def read_flows(
flows = validate_is_component(flows) # type: ignore
flow_ids = [flow.id for flow in flows]
# with the session get the flows that DO NOT have a user_id
- try:
- folder = session.exec(select(Folder).where(Folder.name == STARTER_FOLDER_NAME)).first()
+ if not remove_example_flows:
+ try:
+ folder = session.exec(select(Folder).where(Folder.name == STARTER_FOLDER_NAME)).first()
- example_flows = folder.flows if folder else []
- for example_flow in example_flows:
- if example_flow.id not in flow_ids:
- flows.append(example_flow) # type: ignore
- except Exception as e:
- logger.error(e)
+ example_flows = folder.flows if folder else []
+ for example_flow in example_flows:
+ if example_flow.id not in flow_ids:
+ flows.append(example_flow) # type: ignore
+ except Exception as e:
+ logger.error(e)
except Exception as e:
raise HTTPException(status_code=500, detail=str(e)) from e
return [jsonable_encoder(flow) for flow in flows]
@@ -120,30 +136,51 @@ def update_flow(
settings_service=Depends(get_settings_service),
):
"""Update a flow."""
+ try:
+ db_flow = read_flow(
+ session=session,
+ flow_id=flow_id,
+ current_user=current_user,
+ settings_service=settings_service,
+ )
+ if not db_flow:
+ raise HTTPException(status_code=404, detail="Flow not found")
+ flow_data = flow.model_dump(exclude_unset=True)
+ if settings_service.settings.remove_api_keys:
+ flow_data = remove_api_keys(flow_data)
+ for key, value in flow_data.items():
+ if value is not None:
+ setattr(db_flow, key, value)
+ webhook_component = get_webhook_component_in_flow(db_flow.data)
+ db_flow.webhook = webhook_component is not None
+ db_flow.updated_at = datetime.now(timezone.utc)
+ if db_flow.folder_id is None:
+ default_folder = session.exec(select(Folder).where(Folder.name == DEFAULT_FOLDER_NAME)).first()
+ if default_folder:
+ db_flow.folder_id = default_folder.id
+ session.add(db_flow)
+ session.commit()
+ session.refresh(db_flow)
+ return db_flow
+ except Exception as e:
+ # If it is a validation error, return the error message
+ if hasattr(e, "errors"):
+ raise HTTPException(status_code=400, detail=str(e)) from e
+ elif "UNIQUE constraint failed" in str(e):
+ # Get the name of the column that failed
+ columns = str(e).split("UNIQUE constraint failed: ")[1].split(".")[1].split("\n")[0]
+ # UNIQUE constraint failed: flow.user_id, flow.name
+ # or UNIQUE constraint failed: flow.name
+ # if the column has id in it, we want the other column
+ column = columns.split(",")[1] if "id" in columns.split(",")[0] else columns.split(",")[0]
- db_flow = read_flow(
- session=session,
- flow_id=flow_id,
- current_user=current_user,
- settings_service=settings_service,
- )
- if not db_flow:
- raise HTTPException(status_code=404, detail="Flow not found")
- flow_data = flow.model_dump(exclude_unset=True)
- if settings_service.settings.remove_api_keys:
- flow_data = remove_api_keys(flow_data)
- for key, value in flow_data.items():
- if value is not None:
- setattr(db_flow, key, value)
- db_flow.updated_at = datetime.now(timezone.utc)
- if db_flow.folder_id is None:
- default_folder = session.exec(select(Folder).where(Folder.name == DEFAULT_FOLDER_NAME)).first()
- if default_folder:
- db_flow.folder_id = default_folder.id
- session.add(db_flow)
- session.commit()
- session.refresh(db_flow)
- return db_flow
+ raise HTTPException(
+ status_code=400, detail=f"{column.capitalize().replace('_', ' ')} must be unique"
+ ) from e
+ elif isinstance(e, HTTPException):
+ raise e
+ else:
+ raise HTTPException(status_code=500, detail=str(e)) from e
@router.delete("/{flow_id}", status_code=200)
@@ -221,9 +258,9 @@ async def download_file(
return FlowListRead(flows=flows)
-@router.post("/multiple_delete/")
+@router.delete("/")
async def delete_multiple_flows(
- flow_ids: FlowListIds, user: User = Depends(get_current_active_user), db: Session = Depends(get_session)
+ flow_ids: List[UUID], user: User = Depends(get_current_active_user), db: Session = Depends(get_session)
):
"""
Delete multiple flows by their IDs.
@@ -237,9 +274,7 @@ async def delete_multiple_flows(
"""
try:
- deleted_flows = db.exec(
- select(Flow).where(col(Flow.id).in_(flow_ids.flow_ids)).where(Flow.user_id == user.id)
- ).all()
+ deleted_flows = db.exec(select(Flow).where(col(Flow.id).in_(flow_ids)).where(Flow.user_id == user.id)).all()
for flow in deleted_flows:
db.delete(flow)
db.commit()
diff --git a/src/backend/base/langflow/api/v1/folders.py b/src/backend/base/langflow/api/v1/folders.py
index 3aa57842c..7402881c7 100644
--- a/src/backend/base/langflow/api/v1/folders.py
+++ b/src/backend/base/langflow/api/v1/folders.py
@@ -1,5 +1,4 @@
from typing import List
-from uuid import UUID
import orjson
from fastapi import APIRouter, Depends, File, HTTPException, Response, UploadFile, status
@@ -88,7 +87,7 @@ def read_folders(
def read_folder(
*,
session: Session = Depends(get_session),
- folder_id: UUID,
+ folder_id: str,
current_user: User = Depends(get_current_active_user),
):
try:
@@ -106,7 +105,7 @@ def read_folder(
def update_folder(
*,
session: Session = Depends(get_session),
- folder_id: UUID,
+ folder_id: str,
folder: FolderUpdate, # Assuming FolderUpdate is a Pydantic model defining updatable fields
current_user: User = Depends(get_current_active_user),
):
@@ -155,7 +154,7 @@ def update_folder(
def delete_folder(
*,
session: Session = Depends(get_session),
- folder_id: UUID,
+ folder_id: str,
current_user: User = Depends(get_current_active_user),
):
try:
@@ -177,7 +176,7 @@ def delete_folder(
async def download_file(
*,
session: Session = Depends(get_session),
- folder_id: UUID,
+ folder_id: str,
current_user: User = Depends(get_current_active_user),
):
"""Download all flows from folder."""
diff --git a/src/backend/base/langflow/api/v1/login.py b/src/backend/base/langflow/api/v1/login.py
index 69a1d5876..cde6bd28b 100644
--- a/src/backend/base/langflow/api/v1/login.py
+++ b/src/backend/base/langflow/api/v1/login.py
@@ -46,6 +46,7 @@ async def login_to_get_access_token(
samesite=auth_settings.REFRESH_SAME_SITE,
secure=auth_settings.REFRESH_SECURE,
expires=auth_settings.REFRESH_TOKEN_EXPIRE_SECONDS,
+ domain=auth_settings.COOKIE_DOMAIN,
)
response.set_cookie(
"access_token_lf",
@@ -54,6 +55,7 @@ async def login_to_get_access_token(
samesite=auth_settings.ACCESS_SAME_SITE,
secure=auth_settings.ACCESS_SECURE,
expires=auth_settings.ACCESS_TOKEN_EXPIRE_SECONDS,
+ domain=auth_settings.COOKIE_DOMAIN,
)
variable_service.initialize_user_variables(user.id, db)
# Create default folder for user if it doesn't exist
@@ -71,8 +73,7 @@ async def login_to_get_access_token(
async def auto_login(
response: Response,
db: Session = Depends(get_session),
- settings_service=Depends(get_settings_service),
- variable_service: VariableService = Depends(get_variable_service),
+ settings_service=Depends(get_settings_service)
):
auth_settings = settings_service.auth_settings
if settings_service.auth_settings.AUTO_LOGIN:
@@ -84,9 +85,9 @@ async def auto_login(
samesite=auth_settings.ACCESS_SAME_SITE,
secure=auth_settings.ACCESS_SECURE,
expires=None, # Set to None to make it a session cookie
+ domain=auth_settings.COOKIE_DOMAIN,
)
- variable_service.initialize_user_variables(user_id, db)
- create_default_folder_if_it_doesnt_exist(db, user_id)
+
return tokens
raise HTTPException(
@@ -117,6 +118,7 @@ async def refresh_token(
samesite=auth_settings.REFRESH_SAME_SITE,
secure=auth_settings.REFRESH_SECURE,
expires=auth_settings.REFRESH_TOKEN_EXPIRE_SECONDS,
+ domain=auth_settings.COOKIE_DOMAIN,
)
response.set_cookie(
"access_token_lf",
@@ -125,6 +127,7 @@ async def refresh_token(
samesite=auth_settings.ACCESS_SAME_SITE,
secure=auth_settings.ACCESS_SECURE,
expires=auth_settings.ACCESS_TOKEN_EXPIRE_SECONDS,
+ domain=auth_settings.COOKIE_DOMAIN,
)
return tokens
else:
diff --git a/src/backend/base/langflow/api/v1/schemas.py b/src/backend/base/langflow/api/v1/schemas.py
index 2b9eff312..9ccdb0085 100644
--- a/src/backend/base/langflow/api/v1/schemas.py
+++ b/src/backend/base/langflow/api/v1/schemas.py
@@ -248,6 +248,7 @@ class ResultDataResponse(BaseModel):
artifacts: Optional[Any] = Field(default_factory=dict)
timedelta: Optional[float] = None
duration: Optional[str] = None
+ used_frozen_result: Optional[bool] = False
class VertexBuildResponse(BaseModel):
@@ -316,3 +317,7 @@ class FlowDataRequest(BaseModel):
nodes: List[dict]
edges: List[dict]
viewport: Optional[dict] = None
+
+
+class ConfigResponse(BaseModel):
+ frontend_timeout: int
diff --git a/docs/docs/migration/api.mdx b/src/backend/base/langflow/base/curl/__init__.py
similarity index 100%
rename from docs/docs/migration/api.mdx
rename to src/backend/base/langflow/base/curl/__init__.py
diff --git a/src/backend/base/langflow/base/curl/parse.py b/src/backend/base/langflow/base/curl/parse.py
new file mode 100644
index 000000000..c86638306
--- /dev/null
+++ b/src/backend/base/langflow/base/curl/parse.py
@@ -0,0 +1,89 @@
+"""
+This file contains a fix for the implementation of the `uncurl` library, which is available at https://github.com/spulec/uncurl.git.
+
+The `uncurl` library provides a way to parse and convert cURL commands into Python requests. However, there are some issues with the original implementation that this file aims to fix.
+
+The `parse_context` function in this file takes a cURL command as input and returns a `ParsedContext` object, which contains the parsed information from the cURL command, such as the HTTP method, URL, headers, cookies, etc.
+
+The `normalize_newlines` function is a helper function that replaces the line continuation character ("\") followed by a newline with a space.
+
+
+"""
+
+import re
+import shlex
+from collections import OrderedDict, namedtuple
+from http.cookies import SimpleCookie
+
+from uncurl.api import parser # type: ignore
+
+parser.add_argument("-x", "--proxy", default={})
+parser.add_argument("-U", "--proxy-user", default="")
+
+ParsedContext = namedtuple("ParsedContext", ["method", "url", "data", "headers", "cookies", "verify", "auth", "proxy"])
+
+
+def normalize_newlines(multiline_text):
+ return multiline_text.replace(" \\\n", " ")
+
+
+def parse_context(curl_command):
+ method = "get"
+
+ tokens = shlex.split(normalize_newlines(curl_command))
+ tokens = [token for token in tokens if token and token != " "]
+ parsed_args = parser.parse_args(tokens)
+
+ post_data = parsed_args.data or parsed_args.data_binary
+ if post_data:
+ method = "post"
+
+ if parsed_args.X:
+ method = parsed_args.X.lower()
+
+ cookie_dict = OrderedDict()
+ quoted_headers = OrderedDict()
+
+ for curl_header in parsed_args.header:
+ if curl_header.startswith(":"):
+ occurrence = [m.start() for m in re.finditer(":", curl_header)]
+ header_key, header_value = curl_header[: occurrence[1]], curl_header[occurrence[1] + 1 :]
+ else:
+ header_key, header_value = curl_header.split(":", 1)
+
+ if header_key.lower().strip("$") == "cookie":
+ cookie = SimpleCookie(bytes(header_value, "ascii").decode("unicode-escape"))
+ for key in cookie:
+ cookie_dict[key] = cookie[key].value
+ else:
+ quoted_headers[header_key] = header_value.strip()
+
+ # add auth
+ user = parsed_args.user
+ if parsed_args.user:
+ user = tuple(user.split(":"))
+
+ # add proxy and its authentication if it's available.
+ proxies = parsed_args.proxy
+ # proxy_auth = parsed_args.proxy_user
+ if parsed_args.proxy and parsed_args.proxy_user:
+ proxies = {
+ "http": "http://{}@{}/".format(parsed_args.proxy_user, parsed_args.proxy),
+ "https": "http://{}@{}/".format(parsed_args.proxy_user, parsed_args.proxy),
+ }
+ elif parsed_args.proxy:
+ proxies = {
+ "http": "http://{}/".format(parsed_args.proxy),
+ "https": "http://{}/".format(parsed_args.proxy),
+ }
+
+ return ParsedContext(
+ method=method,
+ url=parsed_args.url,
+ data=post_data,
+ headers=quoted_headers,
+ cookies=cookie_dict,
+ verify=parsed_args.insecure,
+ auth=user,
+ proxy=proxies,
+ )
diff --git a/src/backend/base/langflow/base/data/utils.py b/src/backend/base/langflow/base/data/utils.py
index 7026d4968..2aaf3b23d 100644
--- a/src/backend/base/langflow/base/data/utils.py
+++ b/src/backend/base/langflow/base/data/utils.py
@@ -3,7 +3,7 @@ import xml.etree.ElementTree as ET
from concurrent import futures
from pathlib import Path
from typing import Callable, List, Optional, Text
-
+import chardet
import yaml
from langflow.schema.schema import Record
@@ -89,7 +89,12 @@ def retrieve_file_paths(
def read_text_file(file_path: str) -> str:
- with open(file_path, "r") as f:
+ with open(file_path, "rb") as f:
+ raw_data = f.read()
+ result = chardet.detect(raw_data)
+ encoding = result['encoding']
+
+ with open(file_path, "r", encoding=encoding) as f:
return f.read()
diff --git a/docs/docs/migration/component-status-and-data-passing.mdx b/src/backend/base/langflow/base/flow_processing/__init__.py
similarity index 100%
rename from docs/docs/migration/component-status-and-data-passing.mdx
rename to src/backend/base/langflow/base/flow_processing/__init__.py
diff --git a/src/backend/base/langflow/base/flow_processing/utils.py b/src/backend/base/langflow/base/flow_processing/utils.py
new file mode 100644
index 000000000..4e121f128
--- /dev/null
+++ b/src/backend/base/langflow/base/flow_processing/utils.py
@@ -0,0 +1,67 @@
+from typing import List
+
+from langflow.graph.schema import ResultData, RunOutputs
+from langflow.schema.schema import Record
+
+
+def build_records_from_run_outputs(run_outputs: RunOutputs) -> List[Record]:
+ """
+ Build a list of records from the given RunOutputs.
+
+ Args:
+ run_outputs (RunOutputs): The RunOutputs object containing the output data.
+
+ Returns:
+ List[Record]: A list of records built from the RunOutputs.
+
+ """
+ if not run_outputs:
+ return []
+ records = []
+ for result_data in run_outputs.outputs:
+ if result_data:
+ records.extend(build_records_from_result_data(result_data))
+ return records
+
+
+def build_records_from_result_data(result_data: ResultData, get_final_results_only: bool = True) -> List[Record]:
+ """
+ Build a list of records from the given ResultData.
+
+ Args:
+ result_data (ResultData): The ResultData object containing the result data.
+ get_final_results_only (bool, optional): Whether to include only final results. Defaults to True.
+
+ Returns:
+ List[Record]: A list of records built from the ResultData.
+
+ """
+ messages = result_data.messages
+ if not messages:
+ return []
+ records = []
+ for message in messages:
+ message_dict = message if isinstance(message, dict) else message.model_dump()
+ if get_final_results_only:
+ result_data_dict = result_data.model_dump()
+ results = result_data_dict.get("results", {})
+ inner_result = results.get("result", {})
+ record = Record(data={"result": inner_result, "message": message_dict}, text_key="result")
+ records.append(record)
+ return records
+
+
+def format_flow_output_records(records: List[Record]) -> str:
+ """
+ Format the flow output records into a string.
+
+ Args:
+ records (List[Record]): The list of records to format.
+
+ Returns:
+ str: The formatted flow output records.
+
+ """
+ result = "Flow run output:\n"
+ results = "\n".join([record.result for record in records if record.data["message"]])
+ return result + results
diff --git a/src/backend/base/langflow/base/tools/flow_tool.py b/src/backend/base/langflow/base/tools/flow_tool.py
new file mode 100644
index 000000000..d0993bd99
--- /dev/null
+++ b/src/backend/base/langflow/base/tools/flow_tool.py
@@ -0,0 +1,117 @@
+from typing import Any, List, Optional, Type
+
+from asyncer import syncify
+from langchain.tools import BaseTool
+from langchain_core.runnables import RunnableConfig
+from langchain_core.tools import ToolException
+from pydantic.v1 import BaseModel
+
+from langflow.base.flow_processing.utils import build_records_from_result_data, format_flow_output_records
+from langflow.graph.graph.base import Graph
+from langflow.graph.vertex.base import Vertex
+from langflow.helpers.flow import build_schema_from_inputs, get_arg_names, get_flow_inputs, run_flow
+
+
+class FlowTool(BaseTool):
+ name: str
+ description: str
+ graph: Optional[Graph] = None
+ flow_id: Optional[str] = None
+ user_id: Optional[str] = None
+ inputs: List["Vertex"] = []
+ get_final_results_only: bool = True
+
+ @property
+ def args(self) -> dict:
+ schema = self.get_input_schema()
+ return schema.schema()["properties"]
+
+ def get_input_schema(self, config: Optional[RunnableConfig] = None) -> Type[BaseModel]:
+ """The tool's input schema."""
+ if self.args_schema is not None:
+ return self.args_schema
+ elif self.graph is not None:
+ return build_schema_from_inputs(self.name, get_flow_inputs(self.graph))
+ else:
+ raise ToolException("No input schema available.")
+
+ def _run(
+ self,
+ *args: Any,
+ **kwargs: Any,
+ ) -> str:
+ """Use the tool."""
+ args_names = get_arg_names(self.inputs)
+ if len(args_names) == len(args):
+ kwargs = {arg["arg_name"]: arg_value for arg, arg_value in zip(args_names, args)}
+ elif len(args_names) != len(args) and len(args) != 0:
+ raise ToolException(
+ "Number of arguments does not match the number of inputs. Pass keyword arguments instead."
+ )
+ tweaks = {arg["component_name"]: kwargs[arg["arg_name"]] for arg in args_names}
+
+ run_outputs = syncify(run_flow, raise_sync_error=False)(
+ tweaks={key: {"input_value": value} for key, value in tweaks.items()},
+ flow_id=self.flow_id,
+ user_id=self.user_id,
+ )
+ if not run_outputs:
+ return "No output"
+ run_output = run_outputs[0]
+
+ records = []
+ if run_output is not None:
+ for output in run_output.outputs:
+ if output:
+ records.extend(
+ build_records_from_result_data(output, get_final_results_only=self.get_final_results_only)
+ )
+ return format_flow_output_records(records)
+
+ def validate_inputs(self, args_names: List[dict[str, str]], args: Any, kwargs: Any):
+ """Validate the inputs."""
+
+ if len(args) > 0 and len(args) != len(args_names):
+ raise ToolException(
+ "Number of positional arguments does not match the number of inputs. Pass keyword arguments instead."
+ )
+
+ if len(args) == len(args_names):
+ kwargs = {arg_name["arg_name"]: arg_value for arg_name, arg_value in zip(args_names, args)}
+
+ missing_args = [arg["arg_name"] for arg in args_names if arg["arg_name"] not in kwargs]
+ if missing_args:
+ raise ToolException(f"Missing required arguments: {', '.join(missing_args)}")
+
+ return kwargs
+
+ def build_tweaks_dict(self, args, kwargs):
+ args_names = get_arg_names(self.inputs)
+ kwargs = self.validate_inputs(args_names=args_names, args=args, kwargs=kwargs)
+ tweaks = {arg["component_name"]: kwargs[arg["arg_name"]] for arg in args_names}
+ return tweaks
+
+ async def _arun(
+ self,
+ *args: Any,
+ **kwargs: Any,
+ ) -> str:
+ """Use the tool asynchronously."""
+ tweaks = self.build_tweaks_dict(args, kwargs)
+ run_outputs = await run_flow(
+ tweaks={key: {"input_value": value} for key, value in tweaks.items()},
+ flow_id=self.flow_id,
+ user_id=self.user_id,
+ )
+ if not run_outputs:
+ return "No output"
+ run_output = run_outputs[0]
+
+ records = []
+ if run_output is not None:
+ for output in run_output.outputs:
+ if output:
+ records.extend(
+ build_records_from_result_data(output, get_final_results_only=self.get_final_results_only)
+ )
+ return format_flow_output_records(records)
diff --git a/src/backend/base/langflow/components/data/APIRequest.py b/src/backend/base/langflow/components/data/APIRequest.py
index f4cf476f0..2065f90c7 100644
--- a/src/backend/base/langflow/components/data/APIRequest.py
+++ b/src/backend/base/langflow/components/data/APIRequest.py
@@ -1,11 +1,15 @@
import asyncio
import json
-from typing import List, Optional
+from typing import Any, List, Optional
import httpx
+from loguru import logger
+from langflow.base.curl.parse import parse_context
from langflow.custom import CustomComponent
+from langflow.field_typing import NestedDict
from langflow.schema import Record
+from langflow.schema.dotdict import dotdict
class APIRequest(CustomComponent):
@@ -17,10 +21,15 @@ class APIRequest(CustomComponent):
field_config = {
"urls": {"display_name": "URLs", "info": "URLs to make requests to."},
+ "curl": {
+ "display_name": "Curl",
+ "info": "Paste a curl command to populate the fields.",
+ "refresh_button": True,
+ "refresh_button_text": "",
+ },
"method": {
"display_name": "Method",
"info": "The HTTP method to use.",
- "field_type": "str",
"options": ["GET", "POST", "PATCH", "PUT"],
"value": "GET",
},
@@ -36,12 +45,33 @@ class APIRequest(CustomComponent):
},
"timeout": {
"display_name": "Timeout",
- "field_type": "int",
"info": "The timeout to use for the request.",
"value": 5,
},
}
+ def parse_curl(self, curl: str, build_config: dotdict) -> dotdict:
+ try:
+ parsed = parse_context(curl)
+ build_config["urls"]["value"] = [parsed.url]
+ build_config["method"]["value"] = parsed.method.upper()
+ build_config["headers"]["value"] = dict(parsed.headers)
+
+ try:
+ json_data = json.loads(parsed.data)
+ build_config["body"]["value"] = json_data
+ except json.JSONDecodeError as e:
+ print(e)
+ except Exception as exc:
+ logger.error(f"Error parsing curl: {exc}")
+ raise ValueError(f"Error parsing curl: {exc}")
+ return build_config
+
+ def update_build_config(self, build_config: dotdict, field_value: Any, field_name: str | None = None):
+ if field_name == "curl" and field_value is not None:
+ build_config = self.parse_curl(field_value, build_config)
+ return build_config
+
async def make_request(
self,
client: httpx.AsyncClient,
@@ -94,21 +124,25 @@ class APIRequest(CustomComponent):
self,
method: str,
urls: List[str],
- headers: Optional[Record] = None,
- body: Optional[Record] = None,
+ curl: Optional[str] = None,
+ headers: Optional[NestedDict] = {},
+ body: Optional[NestedDict] = {},
timeout: int = 5,
) -> List[Record]:
if headers is None:
headers_dict = {}
- else:
+ elif isinstance(headers, Record):
headers_dict = headers.data
+ else:
+ headers_dict = headers
bodies = []
if body:
- if isinstance(body, list):
- bodies = [b.data for b in body]
+ if not isinstance(body, list):
+ bodies = [body]
else:
- bodies = [body.data]
+ bodies = body
+ bodies = [b.data if isinstance(b, Record) else b for b in bodies] # type: ignore
if len(urls) != len(bodies):
# add bodies with None
diff --git a/src/backend/base/langflow/components/data/Webhook.py b/src/backend/base/langflow/components/data/Webhook.py
new file mode 100644
index 000000000..cf82e07d2
--- /dev/null
+++ b/src/backend/base/langflow/components/data/Webhook.py
@@ -0,0 +1,39 @@
+import json
+import uuid
+from typing import Any, Optional
+
+from langflow.custom import CustomComponent
+from langflow.schema.dotdict import dotdict
+from langflow.schema.schema import Record
+
+
+class WebhookComponent(CustomComponent):
+ display_name = "Webhook Input"
+ description = "Defines a webhook input for the flow."
+
+ def update_build_config(self, build_config: dotdict, field_value: Any, field_name: str | None = None):
+ if field_name == "webhook_id":
+ build_config["webhook_id"]["value"] = uuid.uuid4().hex
+ return build_config
+
+ def build_config(self):
+ return {
+ "data": {
+ "display_name": "Data",
+ "info": "Use this field to quickly test the webhook component by providing a JSON payload.",
+ "multiline": True,
+ }
+ }
+
+ def build(self, data: Optional[str] = "") -> Record:
+ message = ""
+ try:
+ body = json.loads(data or "{}")
+ except json.JSONDecodeError:
+ body = {"payload": data}
+ message = f"Invalid JSON payload. Please check the format.\n\n{data}"
+ record = Record(data=body)
+ if not message:
+ message = json.dumps(body, indent=2)
+ self.status = message
+ return record
diff --git a/src/backend/base/langflow/components/data/__init__.py b/src/backend/base/langflow/components/data/__init__.py
index ca82e3eb8..c57cf8656 100644
--- a/src/backend/base/langflow/components/data/__init__.py
+++ b/src/backend/base/langflow/components/data/__init__.py
@@ -1,7 +1,8 @@
from .APIRequest import APIRequest
from .Directory import DirectoryComponent
from .File import FileComponent
+from .Webhook import WebhookComponent
from .URL import URLComponent
-__all__ = ["APIRequest", "DirectoryComponent", "FileComponent", "URLComponent"]
+__all__ = ["APIRequest", "DirectoryComponent", "FileComponent", "URLComponent", "WebhookComponent"]
diff --git a/src/backend/base/langflow/components/experimental/FlowTool.py b/src/backend/base/langflow/components/experimental/FlowTool.py
index 07f3b0e38..fa81f6351 100644
--- a/src/backend/base/langflow/components/experimental/FlowTool.py
+++ b/src/backend/base/langflow/components/experimental/FlowTool.py
@@ -1,14 +1,14 @@
from typing import Any, List, Optional
-from asyncer import syncify
-from langchain_core.tools import StructuredTool
+from loguru import logger
+
+from langflow.base.tools.flow_tool import FlowTool
from langflow.custom import CustomComponent
from langflow.field_typing import Tool
from langflow.graph.graph.base import Graph
-from langflow.helpers.flow import build_function_and_schema
+from langflow.helpers.flow import get_flow_inputs
from langflow.schema.dotdict import dotdict
from langflow.schema.schema import Record
-from loguru import logger
class FlowToolComponent(CustomComponent):
@@ -68,18 +68,20 @@ class FlowToolComponent(CustomComponent):
}
async def build(self, flow_name: str, name: str, description: str, return_direct: bool = False) -> Tool:
+ FlowTool.update_forward_refs()
flow_record = self.get_flow(flow_name)
if not flow_record:
raise ValueError("Flow not found.")
graph = Graph.from_payload(flow_record.data["data"])
- dynamic_flow_function, schema = build_function_and_schema(flow_record, graph)
- tool = StructuredTool.from_function(
- func=syncify(dynamic_flow_function, raise_sync_error=False), # type: ignore
- coroutine=dynamic_flow_function,
+ inputs = get_flow_inputs(graph)
+ tool = FlowTool(
name=name,
description=description,
+ graph=graph,
return_direct=return_direct,
- args_schema=schema,
+ inputs=inputs,
+ flow_id=str(flow_record.id),
+ user_id=str(self._user_id),
)
description_repr = repr(tool.description).strip("'")
args_str = "\n".join([f"- {arg_name}: {arg_data['description']}" for arg_name, arg_data in tool.args.items()])
diff --git a/src/backend/base/langflow/components/experimental/RunFlow.py b/src/backend/base/langflow/components/experimental/RunFlow.py
index d3769de7a..d2e7dd285 100644
--- a/src/backend/base/langflow/components/experimental/RunFlow.py
+++ b/src/backend/base/langflow/components/experimental/RunFlow.py
@@ -1,8 +1,9 @@
from typing import Any, List, Optional
+from langflow.base.flow_processing.utils import build_records_from_run_outputs
from langflow.custom import CustomComponent
from langflow.field_typing import NestedDict, Text
-from langflow.graph.schema import ResultData
+from langflow.graph.schema import RunOutputs
from langflow.schema import Record, dotdict
@@ -39,28 +40,17 @@ class RunFlowComponent(CustomComponent):
},
}
- def build_records_from_result_data(self, result_data: ResultData) -> List[Record]:
- messages = result_data.messages
- if not messages:
- return []
- records = []
- for message in messages:
- message_dict = message if isinstance(message, dict) else message.model_dump()
- record = Record(text=message_dict.get("text", ""), data={"result": result_data})
- records.append(record)
- return records
-
async def build(self, input_value: Text, flow_name: str, tweaks: NestedDict) -> List[Record]:
- results: List[Optional[ResultData]] = await self.run_flow(
+ results: List[Optional[RunOutputs]] = await self.run_flow(
inputs={"input_value": input_value}, flow_name=flow_name, tweaks=tweaks
)
if isinstance(results, list):
records = []
for result in results:
if result:
- records.extend(self.build_records_from_result_data(result))
+ records.extend(build_records_from_run_outputs(result))
else:
- records = self.build_records_from_result_data(results)
+ records = build_records_from_run_outputs()(results)
self.status = records
return records
diff --git a/src/backend/base/langflow/components/experimental/SplitText.py b/src/backend/base/langflow/components/experimental/SplitText.py
index 5d71c8014..7156371c3 100644
--- a/src/backend/base/langflow/components/experimental/SplitText.py
+++ b/src/backend/base/langflow/components/experimental/SplitText.py
@@ -43,7 +43,7 @@ class SplitTextComponent(CustomComponent):
chunks = [chunk[:truncate_size] for chunk in chunks]
for chunk in chunks:
- outputs.append(Record(text=chunk, data={"parent": text}))
+ outputs.append(Record(data={"parent": text, "text": chunk}))
self.status = outputs
return outputs
diff --git a/src/backend/base/langflow/components/experimental/SubFlow.py b/src/backend/base/langflow/components/experimental/SubFlow.py
index 80e15c6ad..76a9538a4 100644
--- a/src/backend/base/langflow/components/experimental/SubFlow.py
+++ b/src/backend/base/langflow/components/experimental/SubFlow.py
@@ -2,9 +2,10 @@ from typing import Any, List, Optional
from loguru import logger
+from langflow.base.flow_processing.utils import build_records_from_result_data
from langflow.custom import CustomComponent
from langflow.graph.graph.base import Graph
-from langflow.graph.schema import ResultData, RunOutputs
+from langflow.graph.schema import RunOutputs
from langflow.graph.vertex.base import Vertex
from langflow.helpers.flow import get_flow_inputs
from langflow.schema import Record
@@ -92,21 +93,6 @@ class SubFlowComponent(CustomComponent):
},
}
- def build_records_from_result_data(self, result_data: ResultData, get_final_results_only: bool) -> List[Record]:
- messages = result_data.messages
- if not messages:
- return []
- records = []
- for message in messages:
- message_dict = message if isinstance(message, dict) else message.model_dump()
- if get_final_results_only:
- result_data_dict = result_data.model_dump()
- results = result_data_dict.get("results", {})
- inner_result = results.get("result", {})
- record = Record(data={"result": inner_result, "message": message_dict}, text_key="result")
- records.append(record)
- return records
-
async def build(self, flow_name: str, get_final_results_only: bool = True, **kwargs) -> List[Record]:
tweaks = {key: {"input_value": value} for key, value in kwargs.items()}
run_outputs: List[Optional[RunOutputs]] = await self.run_flow(
@@ -121,7 +107,7 @@ class SubFlowComponent(CustomComponent):
if run_output is not None:
for output in run_output.outputs:
if output:
- records.extend(self.build_records_from_result_data(output, get_final_results_only))
+ records.extend(build_records_from_result_data(output, get_final_results_only))
self.status = records
logger.debug(records)
diff --git a/src/backend/base/langflow/components/models/OllamaModel.py b/src/backend/base/langflow/components/models/OllamaModel.py
index d9ba48501..f591e4a5c 100644
--- a/src/backend/base/langflow/components/models/OllamaModel.py
+++ b/src/backend/base/langflow/components/models/OllamaModel.py
@@ -1,17 +1,12 @@
-from typing import Dict, List, Optional
+from typing import Any, Dict, List, Optional
-# from langchain_community.chat_models import ChatOllama
-from langchain_community.chat_models import ChatOllama
+import httpx
+from langchain_community.chat_models.ollama import ChatOllama
from langflow.base.constants import STREAM_INFO_TEXT
from langflow.base.models.model import LCModelComponent
-
-# from langchain.chat_models import ChatOllama
from langflow.field_typing import Text
-# whe When a callback component is added to Langflow, the comment must be uncommented.
-# from langchain.callbacks.manager import CallbackManager
-
class ChatOllamaComponent(LCModelComponent):
display_name = "Ollama"
@@ -20,11 +15,13 @@ class ChatOllamaComponent(LCModelComponent):
field_order = [
"base_url",
+ "headers",
+ "keep_alive_flag",
+ "keep_alive",
+ "metadata",
"model",
"temperature",
"cache",
- "callback_manager",
- "callbacks",
"format",
"metadata",
"mirostat",
@@ -54,12 +51,32 @@ class ChatOllamaComponent(LCModelComponent):
"base_url": {
"display_name": "Base URL",
"info": "Endpoint of the Ollama API. Defaults to 'http://localhost:11434' if not specified.",
+ },
+ "format": {
+ "display_name": "Format",
+ "info": "Specify the format of the output (e.g., json)",
"advanced": True,
},
+ "headers": {
+ "display_name": "Headers",
+ "advanced": True,
+ },
+ "keep_alive_flag": {
+ "display_name": "Unload interval",
+ "options": ["Keep", "Immediately", "Minute", "Hour", "sec"],
+ "real_time_refresh": True,
+ "refresh_button": True,
+ },
+ "keep_alive": {
+ "display_name": "interval",
+ "info": "How long the model will stay loaded into memory.",
+ },
"model": {
"display_name": "Model Name",
- "value": "llama2",
+ "options": [],
"info": "Refer to https://ollama.ai/library for more models.",
+ "real_time_refresh": True,
+ "refresh_button": True,
},
"temperature": {
"display_name": "Temperature",
@@ -67,31 +84,6 @@ class ChatOllamaComponent(LCModelComponent):
"value": 0.8,
"info": "Controls the creativity of model responses.",
},
- "cache": {
- "display_name": "Cache",
- "field_type": "bool",
- "info": "Enable or disable caching.",
- "advanced": True,
- "value": False,
- },
- ### When a callback component is added to Langflow, the comment must be uncommented. ###
- # "callback_manager": {
- # "display_name": "Callback Manager",
- # "info": "Optional callback manager for additional functionality.",
- # "advanced": True,
- # },
- # "callbacks": {
- # "display_name": "Callbacks",
- # "info": "Callbacks to execute during model runtime.",
- # "advanced": True,
- # },
- ########################################################################################
- "format": {
- "display_name": "Format",
- "field_type": "str",
- "info": "Specify the format of the output (e.g., json).",
- "advanced": True,
- },
"metadata": {
"display_name": "Metadata",
"info": "Metadata to add to the run trace.",
@@ -101,20 +93,23 @@ class ChatOllamaComponent(LCModelComponent):
"display_name": "Mirostat",
"options": ["Disabled", "Mirostat", "Mirostat 2.0"],
"info": "Enable/disable Mirostat sampling for controlling perplexity.",
- "value": "Disabled",
- "advanced": True,
+ "advanced": False,
+ "real_time_refresh": True,
+ "refresh_button": True,
},
"mirostat_eta": {
"display_name": "Mirostat Eta",
"field_type": "float",
"info": "Learning rate for Mirostat algorithm. (Default: 0.1)",
"advanced": True,
+ "real_time_refresh": True,
},
"mirostat_tau": {
"display_name": "Mirostat Tau",
"field_type": "float",
"info": "Controls the balance between coherence and diversity of the output. (Default: 5.0)",
"advanced": True,
+ "real_time_refresh": True,
},
"num_ctx": {
"display_name": "Context Window Size",
@@ -211,21 +206,72 @@ class ChatOllamaComponent(LCModelComponent):
},
}
+ def update_build_config(self, build_config: dict, field_value: Any, field_name: str | None = None):
+ if field_name == "mirostat":
+ if field_value == "Disabled":
+ build_config["mirostat_eta"]["advanced"] = True
+ build_config["mirostat_tau"]["advanced"] = True
+ build_config["mirostat_eta"]["value"] = None
+ build_config["mirostat_tau"]["value"] = None
+
+ else:
+ build_config["mirostat_eta"]["advanced"] = False
+ build_config["mirostat_tau"]["advanced"] = False
+
+ if field_value == "Mirostat 2.0":
+ build_config["mirostat_eta"]["value"] = 0.2
+ build_config["mirostat_tau"]["value"] = 10
+ else:
+ build_config["mirostat_eta"]["value"] = 0.1
+ build_config["mirostat_tau"]["value"] = 5
+
+ if field_name == "model":
+ base_url_dict = build_config.get("base_url", {})
+ base_url_load_from_db = base_url_dict.get("load_from_db", False)
+ base_url_value = base_url_dict.get("value")
+ if base_url_load_from_db:
+ base_url_value = self.variables(base_url_value)
+ elif not base_url_value:
+ base_url_value = "http://localhost:11434"
+ build_config["model"]["options"] = self.get_model(base_url_value + "/api/tags")
+
+ if field_name == "keep_alive_flag":
+ if field_value == "Keep":
+ build_config["keep_alive"]["value"] = "-1"
+ build_config["keep_alive"]["advanced"] = True
+ elif field_value == "Immediately":
+ build_config["keep_alive"]["value"] = "0"
+ build_config["keep_alive"]["advanced"] = True
+ else:
+ build_config["keep_alive"]["advanced"] = False
+
+ return build_config
+
+ def get_model(self, url: str) -> List[str]:
+ try:
+ with httpx.Client() as client:
+ response = client.get(url)
+ response.raise_for_status()
+ data = response.json()
+
+ model_names = [model["name"] for model in data.get("models", [])]
+ return model_names
+ except Exception as e:
+ raise ValueError("Could not retrieve models") from e
+ return [""]
+
def build(
self,
base_url: Optional[str],
model: str,
input_value: Text,
- mirostat: Optional[str],
+ mirostat: Optional[str] = "Disabled",
mirostat_eta: Optional[float] = None,
mirostat_tau: Optional[float] = None,
- ### When a callback component is added to Langflow, the comment must be uncommented.###
- # callback_manager: Optional[CallbackManager] = None,
- # callbacks: Optional[List[Callbacks]] = None,
- #######################################################################################
repeat_last_n: Optional[int] = None,
verbose: Optional[bool] = None,
- cache: Optional[bool] = None,
+ keep_alive: Optional[int] = None,
+ keep_alive_flag: Optional[str] = "Keep",
num_ctx: Optional[int] = None,
num_gpu: Optional[int] = None,
format: Optional[str] = None,
@@ -247,30 +293,33 @@ class ChatOllamaComponent(LCModelComponent):
if not base_url:
base_url = "http://localhost:11434"
- # Mapping mirostat settings to their corresponding values
- mirostat_options = {"Mirostat": 1, "Mirostat 2.0": 2}
+ if keep_alive_flag == "Minute":
+ keep_alive_instance = f"{keep_alive}m"
+ elif keep_alive_flag == "Hour":
+ keep_alive_instance = f"{keep_alive}h"
+ elif keep_alive_flag == "sec":
+ keep_alive_instance = f"{keep_alive}s"
+ elif keep_alive_flag == "Keep":
+ keep_alive_instance = "-1"
+ elif keep_alive_flag == "Immediately":
+ keep_alive_instance = "0"
+ else:
+ keep_alive_instance = "Invalid option"
- # Default to 0 for 'Disabled'
- mirostat_value = mirostat_options.get(mirostat, 0) # type: ignore
+ mirostat_instance = 0
- # Set mirostat_eta and mirostat_tau to None if mirostat is disabled
- if mirostat_value == 0:
- mirostat_eta = None
- mirostat_tau = None
+ if mirostat == "disable":
+ mirostat_instance = 0
# Mapping system settings to their corresponding values
llm_params = {
"base_url": base_url,
- "cache": cache,
"model": model,
- "mirostat": mirostat_value,
+ "mirostat": mirostat_instance,
+ "keep_alive": keep_alive_instance,
"format": format,
"metadata": metadata,
"tags": tags,
- ## When a callback component is added to Langflow, the comment must be uncommented.##
- # "callback_manager": callback_manager,
- # "callbacks": callbacks,
- #####################################################################################
"mirostat_eta": mirostat_eta,
"mirostat_tau": mirostat_tau,
"num_ctx": num_ctx,
diff --git a/src/backend/base/langflow/components/models/OpenAIModel.py b/src/backend/base/langflow/components/models/OpenAIModel.py
index 7adaf7a92..0aedce495 100644
--- a/src/backend/base/langflow/components/models/OpenAIModel.py
+++ b/src/backend/base/langflow/components/models/OpenAIModel.py
@@ -78,7 +78,7 @@ class OpenAIModelComponent(LCModelComponent):
self,
input_value: Text,
openai_api_key: str,
- temperature: float,
+ temperature: float = 0.1,
model_name: str = "gpt-4o",
max_tokens: Optional[int] = 256,
model_kwargs: NestedDict = {},
diff --git a/src/backend/base/langflow/components/vectorsearch/ChromaSearch.py b/src/backend/base/langflow/components/vectorsearch/ChromaSearch.py
index 0046063d1..228e100e4 100644
--- a/src/backend/base/langflow/components/vectorsearch/ChromaSearch.py
+++ b/src/backend/base/langflow/components/vectorsearch/ChromaSearch.py
@@ -1,5 +1,6 @@
from typing import List, Optional
+import chromadb
from chromadb.config import Settings
from langchain_chroma import Chroma
@@ -91,7 +92,7 @@ class ChromaSearchComponent(LCVectorStoreComponent):
# Chroma settings
chroma_settings = None
-
+ client = None
if chroma_server_host is not None:
chroma_settings = Settings(
chroma_server_cors_allow_origins=chroma_server_cors_allow_origins or [],
@@ -100,13 +101,14 @@ class ChromaSearchComponent(LCVectorStoreComponent):
chroma_server_grpc_port=chroma_server_grpc_port or None,
chroma_server_ssl_enabled=chroma_server_ssl_enabled,
)
+ client = chromadb.HttpClient(settings=chroma_settings)
if index_directory:
index_directory = self.resolve_path(index_directory)
vector_store = Chroma(
embedding_function=embedding,
collection_name=collection_name,
persist_directory=index_directory,
- client_settings=chroma_settings,
+ client=client,
)
return self.search_with_vector_store(input_value, search_type, vector_store, k=number_of_results)
diff --git a/src/backend/base/langflow/components/vectorsearch/UpstashSearch.py b/src/backend/base/langflow/components/vectorsearch/UpstashSearch.py
new file mode 100644
index 000000000..506896e2b
--- /dev/null
+++ b/src/backend/base/langflow/components/vectorsearch/UpstashSearch.py
@@ -0,0 +1,79 @@
+from typing import List, Optional
+
+from langchain_core.embeddings import Embeddings
+
+from langflow.components.vectorstores.base.model import LCVectorStoreComponent
+from langflow.components.vectorstores.Upstash import UpstashVectorStoreComponent
+from langflow.field_typing import Text
+from langflow.schema import Record
+
+
+class UpstashSearchComponent(UpstashVectorStoreComponent, LCVectorStoreComponent):
+ """
+ A custom component for implementing a Vector Store using Upstash.
+ """
+
+ display_name: str = "Upstash Search"
+ description: str = "Search an Upstash Vector Store for similar documents."
+
+ def build_config(self):
+ """
+ Builds the configuration for the component.
+
+ Returns:
+ - dict: A dictionary containing the configuration options for the component.
+ """
+ return {
+ "search_type": {
+ "display_name": "Search Type",
+ "options": ["Similarity", "MMR"],
+ },
+ "input_value": {"display_name": "Input"},
+ "inputs": {"display_name": "Input", "input_types": ["Document", "Record"]},
+ "embedding": {
+ "display_name": "Embedding",
+ "input_types": ["Embeddings"],
+ "info": "To use Upstash's embeddings, don't provide an embedding.",
+ },
+ "index_url": {
+ "display_name": "Index URL",
+ "info": "The URL of the Upstash index.",
+ },
+ "index_token": {
+ "display_name": "Index Token",
+ "info": "The token for the Upstash index.",
+ },
+ "number_of_results": {
+ "display_name": "Number of Results",
+ "info": "Number of results to return.",
+ "advanced": True,
+ },
+ "text_key": {
+ "display_name": "Text Key",
+ "info": "The key in the record to use as text.",
+ "advanced": True,
+ },
+ }
+
+ def build( # type: ignore[override]
+ self,
+ input_value: Text,
+ search_type: str,
+ text_key: str = "text",
+ index_url: Optional[str] = None,
+ index_token: Optional[str] = None,
+ embedding: Optional[Embeddings] = None,
+ number_of_results: int = 4,
+ ) -> List[Record]:
+ vector_store = super().build(
+ embedding=embedding,
+ text_key=text_key,
+ index_url=index_url,
+ index_token=index_token,
+ )
+ if not vector_store:
+ raise ValueError("Failed to load the Upstash Vector Store.")
+
+ return self.search_with_vector_store(
+ input_value=input_value, search_type=search_type, vector_store=vector_store, k=number_of_results
+ )
diff --git a/src/backend/base/langflow/components/vectorstores/Chroma.py b/src/backend/base/langflow/components/vectorstores/Chroma.py
index 9683d7a98..3671dbbdb 100644
--- a/src/backend/base/langflow/components/vectorstores/Chroma.py
+++ b/src/backend/base/langflow/components/vectorstores/Chroma.py
@@ -1,5 +1,6 @@
from typing import List, Optional, Union
+import chromadb
from chromadb.config import Settings
from langchain_chroma import Chroma
from langchain_core.embeddings import Embeddings
@@ -81,7 +82,7 @@ class ChromaComponent(CustomComponent):
# Chroma settings
chroma_settings = None
-
+ client = None
if chroma_server_host is not None:
chroma_settings = Settings(
chroma_server_cors_allow_origins=chroma_server_cors_allow_origins or [],
@@ -90,6 +91,7 @@ class ChromaComponent(CustomComponent):
chroma_server_grpc_port=chroma_server_grpc_port or None,
chroma_server_ssl_enabled=chroma_server_ssl_enabled,
)
+ client = chromadb.HttpClient(settings=chroma_settings)
# If documents, then we need to create a Chroma instance using .from_documents
@@ -111,12 +113,12 @@ class ChromaComponent(CustomComponent):
persist_directory=index_directory,
collection_name=collection_name,
embedding=embedding,
- client_settings=chroma_settings,
+ client=client,
)
else:
chroma = Chroma(
persist_directory=index_directory,
- client_settings=chroma_settings,
+ client=client,
embedding_function=embedding,
)
return chroma
diff --git a/src/backend/base/langflow/components/vectorstores/Qdrant.py b/src/backend/base/langflow/components/vectorstores/Qdrant.py
index dabaa17fc..794e282db 100644
--- a/src/backend/base/langflow/components/vectorstores/Qdrant.py
+++ b/src/backend/base/langflow/components/vectorstores/Qdrant.py
@@ -67,22 +67,19 @@ class QdrantComponent(CustomComponent):
documents.append(_input.to_lc_document())
else:
documents.append(_input)
- if documents is None:
+ if not documents:
from qdrant_client import QdrantClient
client = QdrantClient(
location=location,
- url=host,
+ url=url,
port=port,
grpc_port=grpc_port,
https=https,
prefix=prefix,
timeout=timeout,
prefer_grpc=prefer_grpc,
- metadata_payload_key=metadata_payload_key,
- content_payload_key=content_payload_key,
api_key=api_key,
- collection_name=collection_name,
host=host,
path=path,
)
@@ -90,6 +87,8 @@ class QdrantComponent(CustomComponent):
client=client,
collection_name=collection_name,
embeddings=embedding,
+ content_payload_key=content_payload_key,
+ metadata_payload_key=metadata_payload_key,
)
return vs
else:
diff --git a/src/backend/base/langflow/components/vectorstores/Upstash.py b/src/backend/base/langflow/components/vectorstores/Upstash.py
new file mode 100644
index 000000000..c066d7f44
--- /dev/null
+++ b/src/backend/base/langflow/components/vectorstores/Upstash.py
@@ -0,0 +1,89 @@
+from typing import List, Optional, Union
+
+from langchain_community.vectorstores.upstash import UpstashVectorStore
+from langchain_core.embeddings import Embeddings
+from langchain_core.retrievers import BaseRetriever
+from langchain_core.vectorstores import VectorStore
+
+from langflow.custom import CustomComponent
+from langflow.schema.schema import Record
+
+
+class UpstashVectorStoreComponent(CustomComponent):
+ """
+ A custom component for implementing a Vector Store using Upstash.
+ """
+
+ display_name: str = "Upstash"
+ description: str = "Create and Utilize an Upstash Vector Store"
+
+ def build_config(self):
+ """
+ Builds the configuration for the component.
+
+ Returns:
+ - dict: A dictionary containing the configuration options for the component.
+ """
+ return {
+ "inputs": {"display_name": "Input", "input_types": ["Document", "Record"]},
+ "embedding": {
+ "display_name": "Embedding",
+ "input_types": ["Embeddings"],
+ "info": "To use Upstash's embeddings, don't provide an embedding.",
+ },
+ "index_url": {
+ "display_name": "Index URL",
+ "info": "The URL of the Upstash index.",
+ },
+ "index_token": {
+ "display_name": "Index Token",
+ "info": "The token for the Upstash index.",
+ },
+ "text_key": {
+ "display_name": "Text Key",
+ "info": "The key in the record to use as text.",
+ "advanced": True,
+ },
+ }
+
+ def build(
+ self,
+ inputs: Optional[List[Record]] = None,
+ text_key: str = "text",
+ index_url: Optional[str] = None,
+ index_token: Optional[str] = None,
+ embedding: Optional[Embeddings] = None,
+ ) -> Union[VectorStore, BaseRetriever]:
+ documents = []
+ for _input in inputs or []:
+ if isinstance(_input, Record):
+ documents.append(_input.to_lc_document())
+ else:
+ documents.append(_input)
+
+ use_upstash_embedding = embedding is None
+ if not documents:
+ upstash_vs = UpstashVectorStore(
+ embedding=embedding or use_upstash_embedding,
+ text_key=text_key,
+ index_url=index_url,
+ index_token=index_token,
+ )
+ else:
+ if use_upstash_embedding:
+ upstash_vs = UpstashVectorStore(
+ embedding=use_upstash_embedding,
+ text_key=text_key,
+ index_url=index_url,
+ index_token=index_token,
+ )
+ upstash_vs.add_documents(documents)
+ elif embedding:
+ upstash_vs = UpstashVectorStore.from_documents(
+ documents=documents, # type: ignore
+ embedding=embedding,
+ text_key=text_key,
+ index_url=index_url,
+ index_token=index_token,
+ )
+ return upstash_vs
diff --git a/src/backend/base/langflow/custom/utils.py b/src/backend/base/langflow/custom/utils.py
index 5f7af956e..93f08f633 100644
--- a/src/backend/base/langflow/custom/utils.py
+++ b/src/backend/base/langflow/custom/utils.py
@@ -159,6 +159,11 @@ def add_new_custom_field(
if field_type == "bool" and field_value is None:
field_value = False
+ if field_type == "SecretStr":
+ field_config["password"] = True
+ field_config["load_from_db"] = True
+ field_config["input_types"] = ["Text"]
+
# If options is a list, then it's a dropdown
# If options is None, then it's a list of strings
is_list = isinstance(field_config.get("options"), list)
diff --git a/src/backend/base/langflow/graph/graph/base.py b/src/backend/base/langflow/graph/graph/base.py
index 1712f84d2..f4e71bd7c 100644
--- a/src/backend/base/langflow/graph/graph/base.py
+++ b/src/backend/base/langflow/graph/graph/base.py
@@ -17,7 +17,10 @@ from langflow.graph.vertex.base import Vertex
from langflow.graph.vertex.types import InterfaceVertex, StateVertex
from langflow.schema import Record
from langflow.schema.schema import INPUT_FIELD_NAME, InputType
+from langflow.services.cache.utils import CacheMiss
+from langflow.services.chat.service import ChatService
from langflow.services.deps import get_chat_service
+from langflow.services.monitor.utils import log_transaction
if TYPE_CHECKING:
from langflow.graph.schema import ResultData
@@ -704,7 +707,7 @@ class Graph:
async def build_vertex(
self,
lock: asyncio.Lock,
- set_cache_coro: Callable[["Graph", asyncio.Lock], Coroutine],
+ chat_service: ChatService,
vertex_id: str,
inputs_dict: Optional[Dict[str, str]] = None,
user_id: Optional[str] = None,
@@ -729,23 +732,43 @@ class Graph:
"""
vertex = self.get_vertex(vertex_id)
try:
- if not vertex.frozen or not vertex._built:
+ params = ""
+ if vertex.frozen:
+ # Check the cache for the vertex
+ cached_result = await chat_service.get_cache(key=vertex.id)
+ if isinstance(cached_result, CacheMiss):
+ await vertex.build(user_id=user_id, inputs=inputs_dict, fallback_to_env_vars=fallback_to_env_vars)
+ await chat_service.set_cache(key=vertex.id, data=vertex)
+ else:
+ cached_vertex = cached_result["result"]
+ # Now set update the vertex with the cached vertex
+ vertex._built = cached_vertex._built
+ vertex.result = cached_vertex.result
+ vertex.artifacts = cached_vertex.artifacts
+ vertex._built_object = cached_vertex._built_object
+ vertex._custom_component = cached_vertex._custom_component
+ if vertex.result is not None:
+ vertex.result.used_frozen_result = True
+
+ else:
await vertex.build(user_id=user_id, inputs=inputs_dict, fallback_to_env_vars=fallback_to_env_vars)
if vertex.result is not None:
- params = vertex._built_object_repr()
+ params = f"{vertex._built_object_repr()}{params}"
valid = True
result_dict = vertex.result
artifacts = vertex.artifacts
else:
raise ValueError(f"No result found for vertex {vertex_id}")
-
+ set_cache_coro = partial(chat_service.set_cache, key=self.flow_id)
next_runnable_vertices, top_level_vertices = await self.get_next_and_top_level_vertices(
lock, set_cache_coro, vertex
)
+ log_transaction(vertex, status="success")
return next_runnable_vertices, top_level_vertices, result_dict, params, valid, artifacts, vertex
except Exception as exc:
logger.exception(f"Error building vertex: {exc}")
+ log_transaction(vertex, status="failure", error=str(exc))
raise exc
async def get_next_and_top_level_vertices(
@@ -810,11 +833,10 @@ class Graph:
for vertex_id in current_batch:
vertex = self.get_vertex(vertex_id)
lock = chat_service._cache_locks[self.run_id]
- set_cache_coro = partial(chat_service.set_cache, flow_id=self.run_id)
task = asyncio.create_task(
self.build_vertex(
lock=lock,
- set_cache_coro=set_cache_coro,
+ chat_service=chat_service,
vertex_id=vertex_id,
user_id=self.user_id,
inputs_dict={},
diff --git a/src/backend/base/langflow/graph/schema.py b/src/backend/base/langflow/graph/schema.py
index 18010de4c..60e7ab590 100644
--- a/src/backend/base/langflow/graph/schema.py
+++ b/src/backend/base/langflow/graph/schema.py
@@ -15,6 +15,7 @@ class ResultData(BaseModel):
duration: Optional[str] = None
component_display_name: Optional[str] = None
component_id: Optional[str] = None
+ used_frozen_result: Optional[bool] = False
@field_serializer("results")
def serialize_results(self, value):
diff --git a/src/backend/base/langflow/graph/vertex/base.py b/src/backend/base/langflow/graph/vertex/base.py
index 561a91848..963ae2115 100644
--- a/src/backend/base/langflow/graph/vertex/base.py
+++ b/src/backend/base/langflow/graph/vertex/base.py
@@ -696,7 +696,8 @@ class Vertex:
self._finalize_build()
- return await self.get_requester_result(requester)
+ result = await self.get_requester_result(requester)
+ return result
async def get_requester_result(self, requester: Optional["Vertex"]):
# If the requester is None, this means that
diff --git a/src/backend/base/langflow/helpers/flow.py b/src/backend/base/langflow/helpers/flow.py
index 36b852a99..9a8a7c3b5 100644
--- a/src/backend/base/langflow/helpers/flow.py
+++ b/src/backend/base/langflow/helpers/flow.py
@@ -1,10 +1,14 @@
from typing import TYPE_CHECKING, Any, Awaitable, Callable, List, Optional, Tuple, Type, Union, cast
+from uuid import UUID
-from langflow.schema.schema import INPUT_FIELD_NAME, Record
-from langflow.services.database.models.flow.model import Flow
-from langflow.services.deps import session_scope
+from fastapi import Depends, HTTPException
from pydantic.v1 import BaseModel, Field, create_model
-from sqlmodel import select
+from sqlmodel import Session, select
+
+from langflow.graph.schema import RunOutputs
+from langflow.schema.schema import INPUT_FIELD_NAME, Record
+from langflow.services.database.models.flow import Flow
+from langflow.services.deps import get_session, get_settings_service, session_scope
if TYPE_CHECKING:
from langflow.graph.graph.base import Graph
@@ -51,7 +55,7 @@ async def load_flow(
raise ValueError(f"Flow {flow_id} not found")
if tweaks:
graph_data = process_tweaks(graph_data=graph_data, tweaks=tweaks)
- graph = Graph.from_payload(graph_data, flow_id=flow_id)
+ graph = Graph.from_payload(graph_data, flow_id=flow_id, user_id=user_id)
return graph
@@ -67,25 +71,31 @@ async def run_flow(
flow_id: Optional[str] = None,
flow_name: Optional[str] = None,
user_id: Optional[str] = None,
-) -> Any:
+) -> List[RunOutputs]:
if user_id is None:
raise ValueError("Session is invalid")
graph = await load_flow(user_id, flow_id, flow_name, tweaks)
if inputs is None:
inputs = []
+ if isinstance(inputs, dict):
+ inputs = [inputs]
inputs_list = []
inputs_components = []
types = []
for input_dict in inputs:
inputs_list.append({INPUT_FIELD_NAME: cast(str, input_dict.get("input_value"))})
inputs_components.append(input_dict.get("components", []))
- types.append(input_dict.get("type", []))
+ types.append(input_dict.get("type", "chat"))
- return await graph.arun(inputs_list, inputs_components=inputs_components, types=types)
+ fallback_to_env_vars = get_settings_service().settings.fallback_to_env_var
+
+ return await graph.arun(inputs_list, inputs_components=inputs_components, types=types, fallback_to_env_vars=fallback_to_env_vars)
-def generate_function_for_flow(inputs: List["Vertex"], flow_id: str) -> Callable[..., Awaitable[Any]]:
+def generate_function_for_flow(
+ inputs: List["Vertex"], flow_id: str, user_id: str | UUID | None
+) -> Callable[..., Awaitable[Any]]:
"""
Generate a dynamic flow function based on the given inputs and flow ID.
@@ -129,11 +139,23 @@ async def flow_function({func_args}):
tweaks = {{ {arg_mappings} }}
from langflow.helpers.flow import run_flow
from langchain_core.tools import ToolException
+ from langflow.base.flow_processing.utils import build_records_from_result_data, format_flow_output_records
try:
- return await run_flow(
+ run_outputs = await run_flow(
tweaks={{key: {{'input_value': value}} for key, value in tweaks.items()}},
flow_id="{flow_id}",
+ user_id="{user_id}"
)
+ if not run_outputs:
+ return []
+ run_output = run_outputs[0]
+
+ records = []
+ if run_output is not None:
+ for output in run_output.outputs:
+ if output:
+ records.extend(build_records_from_result_data(output, get_final_results_only=True))
+ return format_flow_output_records(records)
except Exception as e:
raise ToolException(f'Error running flow: ' + e)
"""
@@ -145,7 +167,7 @@ async def flow_function({func_args}):
def build_function_and_schema(
- flow_record: Record, graph: "Graph"
+ flow_record: Record, graph: "Graph", user_id: str | UUID | None
) -> Tuple[Callable[..., Awaitable[Any]], Type[BaseModel]]:
"""
Builds a dynamic function and schema for a given flow.
@@ -159,7 +181,7 @@ def build_function_and_schema(
"""
flow_id = flow_record.id
inputs = get_flow_inputs(graph)
- dynamic_flow_function = generate_function_for_flow(inputs, flow_id)
+ dynamic_flow_function = generate_function_for_flow(inputs, flow_id, user_id=user_id)
schema = build_schema_from_inputs(flow_record.name, inputs)
return dynamic_flow_function, schema
@@ -200,3 +222,38 @@ def build_schema_from_inputs(name: str, inputs: List["Vertex"]) -> Type[BaseMode
description = input_.description
fields[field_name] = (str, Field(default="", description=description))
return create_model(name, **fields) # type: ignore
+
+
+def get_arg_names(inputs: List["Vertex"]) -> List[dict[str, str]]:
+ """
+ Returns a list of dictionaries containing the component name and its corresponding argument name.
+
+ Args:
+ inputs (List[Vertex]): A list of Vertex objects representing the inputs.
+
+ Returns:
+ List[dict[str, str]]: A list of dictionaries, where each dictionary contains the component name and its argument name.
+ """
+ return [
+ {"component_name": input_.display_name, "arg_name": input_.display_name.lower().replace(" ", "_")}
+ for input_ in inputs
+ ]
+
+
+def get_flow_by_id_or_endpoint_name(
+ flow_id_or_name: str, db: Session = Depends(get_session), user_id: Optional[UUID] = None
+) -> Flow:
+ endpoint_name = None
+ try:
+ flow_id = UUID(flow_id_or_name)
+ flow = db.get(Flow, flow_id)
+ except ValueError:
+ endpoint_name = flow_id_or_name
+ stmt = select(Flow).where(Flow.name == endpoint_name)
+ if user_id:
+ stmt = stmt.where(Flow.user_id == user_id)
+ flow = db.exec(stmt).first()
+ if flow is None:
+ raise HTTPException(status_code=404, detail=f"Flow identifier {flow_id_or_name} not found")
+
+ return flow
diff --git a/src/backend/base/langflow/initial_setup/setup.py b/src/backend/base/langflow/initial_setup/setup.py
index 3066e2909..27574950c 100644
--- a/src/backend/base/langflow/initial_setup/setup.py
+++ b/src/backend/base/langflow/initial_setup/setup.py
@@ -1,7 +1,10 @@
+import logging
+import os
from collections import defaultdict
from copy import deepcopy
from datetime import datetime, timezone
from pathlib import Path
+from uuid import UUID
import orjson
from emoji import demojize, purely_emoji # type: ignore
@@ -10,10 +13,16 @@ from sqlmodel import select
from langflow.base.constants import FIELD_FORMAT_ATTRIBUTES, NODE_FORMAT_ATTRIBUTES
from langflow.interface.types import get_all_components
+from langflow.services.auth.utils import create_super_user
from langflow.services.database.models.flow.model import Flow, FlowCreate
from langflow.services.database.models.folder.model import Folder, FolderCreate
+from langflow.services.database.models.user.crud import get_user_by_username
from langflow.services.deps import get_settings_service, session_scope
+from langflow.services.database.models.folder.utils import create_default_folder_if_it_doesnt_exist
+from langflow.services.deps import get_settings_service, session_scope, get_variable_service
+
+
STARTER_FOLDER_NAME = "Starter Projects"
STARTER_FOLDER_DESCRIPTION = "Starter projects to help you get started in Langflow."
@@ -205,6 +214,63 @@ def create_starter_folder(session):
return session.exec(select(Folder).where(Folder.name == STARTER_FOLDER_NAME)).first()
+def _is_valid_uuid(val):
+ try:
+ uuid_obj = UUID(val)
+ except ValueError:
+ return False
+ return str(uuid_obj) == val
+
+def load_flows_from_directory():
+ settings_service = get_settings_service()
+ flows_path = settings_service.settings.load_flows_path
+ if not flows_path:
+ return
+ if not settings_service.auth_settings.AUTO_LOGIN:
+ logging.warning("AUTO_LOGIN is disabled, not loading flows from directory")
+ return
+
+ with session_scope() as session:
+ user_id = get_user_by_username(session, settings_service.auth_settings.SUPERUSER).id
+ files = [f for f in os.listdir(flows_path) if os.path.isfile(os.path.join(flows_path, f))]
+ for filename in files:
+ if not filename.endswith(".json"):
+ continue
+ logger.info(f"Loading flow from file: {filename}")
+ with open(os.path.join(flows_path, filename), "r", encoding="utf-8") as file:
+ flow = orjson.loads(file.read())
+ no_json_name = filename.replace(".json", "")
+ flow_endpoint_name = flow.get("endpoint_name")
+ if _is_valid_uuid(no_json_name):
+ flow["id"] = no_json_name
+ flow_id = flow.get("id")
+
+ existing = find_existing_flow(session, flow_id, flow_endpoint_name)
+ if existing:
+ logger.info(f"Updating existing flow: {flow_id} with endpoint name {flow_endpoint_name}")
+ for key, value in flow.items():
+ setattr(existing, key, value)
+ existing.updated_at = datetime.utcnow()
+ existing.user_id = user_id
+ session.add(existing)
+ session.commit()
+ else:
+ logger.info(f"Creating new flow: {flow_id} with endpoint name {flow_endpoint_name}")
+ flow["user_id"] = user_id
+ flow = Flow.model_validate(flow, from_attributes=True)
+ flow.updated_at = datetime.utcnow()
+ session.add(flow)
+ session.commit()
+
+def find_existing_flow(session, flow_id, flow_endpoint_name):
+ if flow_endpoint_name:
+ stmt = select(Flow).where(Flow.endpoint_name == flow_endpoint_name)
+ if existing := session.exec(stmt).first():
+ return existing
+ stmt = select(Flow).where(Flow.id == flow_id)
+ if existing := session.exec(stmt).first():
+ return existing
+ return None
def create_or_update_starter_projects():
components_paths = get_settings_service().settings.components_path
try:
@@ -249,3 +315,20 @@ def create_or_update_starter_projects():
project_icon_bg_color,
new_folder.id,
)
+
+
+def initialize_super_user_if_needed():
+ settings_service = get_settings_service()
+ if not settings_service.auth_settings.AUTO_LOGIN:
+ return
+ username = settings_service.auth_settings.SUPERUSER
+ password = settings_service.auth_settings.SUPERUSER_PASSWORD
+ if not username or not password:
+ raise ValueError("SUPERUSER and SUPERUSER_PASSWORD must be set in the settings if AUTO_LOGIN is true.")
+
+ with session_scope() as session:
+ super_user = create_super_user(db=session, username=username, password=password)
+ get_variable_service().initialize_user_variables(super_user.id, session)
+ create_default_folder_if_it_doesnt_exist(session, super_user.id)
+ session.commit()
+ logger.info("Super user initialized")
diff --git a/src/backend/base/langflow/initial_setup/starter_projects/Basic Prompting (Hello, world!).json b/src/backend/base/langflow/initial_setup/starter_projects/Basic Prompting (Hello, world!).json
index bdc6da29d..38e01111b 100644
--- a/src/backend/base/langflow/initial_setup/starter_projects/Basic Prompting (Hello, world!).json
+++ b/src/backend/base/langflow/initial_setup/starter_projects/Basic Prompting (Hello, world!).json
@@ -1,886 +1,800 @@
{
- "id": "c091a57f-43a7-4a5e-b352-035ae8d8379c",
- "data": {
- "nodes": [
- {
- "id": "Prompt-uxBqP",
- "type": "genericNode",
- "position": {
- "x": 53.588791333410654,
- "y": -107.07318910019967
- },
- "data": {
- "type": "Prompt",
- "node": {
- "template": {
- "code": {
- "type": "code",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "from langchain_core.prompts import PromptTemplate\n\nfrom langflow.custom import CustomComponent\nfrom langflow.field_typing import Prompt, TemplateField, Text\n\n\nclass PromptComponent(CustomComponent):\n display_name: str = \"Prompt\"\n description: str = \"Create a prompt template with dynamic variables.\"\n icon = \"prompts\"\n\n def build_config(self):\n return {\n \"template\": TemplateField(display_name=\"Template\"),\n \"code\": TemplateField(advanced=True),\n }\n\n def build(\n self,\n template: Prompt,\n **kwargs,\n ) -> Text:\n from langflow.base.prompts.utils import dict_values_to_string\n\n prompt_template = PromptTemplate.from_template(Text(template))\n kwargs = dict_values_to_string(kwargs)\n kwargs = {k: \"\\n\".join(v) if isinstance(v, list) else v for k, v in kwargs.items()}\n try:\n formated_prompt = prompt_template.format(**kwargs)\n except Exception as exc:\n raise ValueError(f\"Error formatting prompt: {exc}\") from exc\n self.status = f'Prompt:\\n\"{formated_prompt}\"'\n return formated_prompt\n",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "code",
- "advanced": true,
- "dynamic": true,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "template": {
- "type": "prompt",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": "Answer the user as if you were a pirate.\n\nUser: {user_input}\n\nAnswer: ",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "template",
- "display_name": "Template",
- "advanced": false,
- "input_types": [
- "Text"
- ],
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "_type": "CustomComponent",
- "user_input": {
- "field_type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "user_input",
- "display_name": "user_input",
- "advanced": false,
- "input_types": [
- "Document",
- "BaseOutputParser",
- "Record",
- "Text"
- ],
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "type": "str"
- }
- },
- "description": "Create a prompt template with dynamic variables.",
- "icon": "prompts",
- "is_input": null,
- "is_output": null,
- "is_composition": null,
- "base_classes": [
- "object",
- "str",
- "Text"
- ],
- "name": "",
- "display_name": "Prompt",
- "documentation": "",
- "custom_fields": {
- "template": [
- "user_input"
- ]
- },
- "output_types": [
- "Text"
- ],
- "full_path": null,
- "field_formatters": {},
- "frozen": false,
- "field_order": [],
- "beta": false,
- "error": null
- },
- "id": "Prompt-uxBqP",
- "description": "Create a prompt template with dynamic variables.",
- "display_name": "Prompt"
- },
- "selected": true,
- "width": 384,
- "height": 383,
- "dragging": false,
- "positionAbsolute": {
- "x": 53.588791333410654,
- "y": -107.07318910019967
- }
+ "id": "c091a57f-43a7-4a5e-b352-035ae8d8379c",
+ "data": {
+ "nodes": [
+ {
+ "id": "Prompt-uxBqP",
+ "type": "genericNode",
+ "position": {
+ "x": 53.588791333410654,
+ "y": -107.07318910019967
+ },
+ "data": {
+ "type": "Prompt",
+ "node": {
+ "template": {
+ "code": {
+ "type": "code",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "from langchain_core.prompts import PromptTemplate\n\nfrom langflow.custom import CustomComponent\nfrom langflow.field_typing import Prompt, TemplateField, Text\n\n\nclass PromptComponent(CustomComponent):\n display_name: str = \"Prompt\"\n description: str = \"Create a prompt template with dynamic variables.\"\n icon = \"prompts\"\n\n def build_config(self):\n return {\n \"template\": TemplateField(display_name=\"Template\"),\n \"code\": TemplateField(advanced=True),\n }\n\n def build(\n self,\n template: Prompt,\n **kwargs,\n ) -> Text:\n from langflow.base.prompts.utils import dict_values_to_string\n\n prompt_template = PromptTemplate.from_template(Text(template))\n kwargs = dict_values_to_string(kwargs)\n kwargs = {k: \"\\n\".join(v) if isinstance(v, list) else v for k, v in kwargs.items()}\n try:\n formated_prompt = prompt_template.format(**kwargs)\n except Exception as exc:\n raise ValueError(f\"Error formatting prompt: {exc}\") from exc\n self.status = f'Prompt:\\n\"{formated_prompt}\"'\n return formated_prompt\n",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "code",
+ "advanced": true,
+ "dynamic": true,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "template": {
+ "type": "prompt",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": "Answer the user as if you were a pirate.\n\nUser: {user_input}\n\nAnswer: ",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "template",
+ "display_name": "Template",
+ "advanced": false,
+ "input_types": ["Text"],
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "_type": "CustomComponent",
+ "user_input": {
+ "field_type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "user_input",
+ "display_name": "user_input",
+ "advanced": false,
+ "input_types": [
+ "Document",
+ "BaseOutputParser",
+ "Record",
+ "Text"
+ ],
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "type": "str"
+ }
},
- {
- "id": "OpenAIModel-k39HS",
- "type": "genericNode",
- "position": {
- "x": 634.8148772766217,
- "y": 27.035057029045305
- },
- "data": {
- "type": "OpenAIModel",
- "node": {
- "template": {
- "input_value": {
- "type": "str",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "input_value",
- "display_name": "Input",
- "advanced": false,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "code": {
- "type": "code",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\"},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n \"info\": \"The maximum number of tokens to generate. Set to 0 for unlimited tokens.\",\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": MODEL_NAMES,\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float,\n model_name: str = \"gpt-4o\",\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens or None,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "code",
- "advanced": true,
- "dynamic": true,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "max_tokens": {
- "type": "int",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": 256,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "max_tokens",
- "display_name": "Max Tokens",
- "advanced": true,
- "dynamic": false,
- "info": "The maximum number of tokens to generate. Set to 0 for unlimited tokens.",
- "load_from_db": false,
- "title_case": false
- },
- "model_kwargs": {
- "type": "NestedDict",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": {},
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "model_kwargs",
- "display_name": "Model Kwargs",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "model_name": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": true,
- "show": true,
- "multiline": false,
- "value": "gpt-3.5-turbo",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "options": [
- "gpt-4o",
- "gpt-4-turbo",
- "gpt-4-turbo-preview",
- "gpt-3.5-turbo",
- "gpt-3.5-turbo-0125"
- ],
- "name": "model_name",
- "display_name": "Model Name",
- "advanced": false,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "openai_api_base": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "openai_api_base",
- "display_name": "OpenAI API Base",
- "advanced": true,
- "dynamic": false,
- "info": "The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\n\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "openai_api_key": {
- "type": "str",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": true,
- "name": "openai_api_key",
- "display_name": "OpenAI API Key",
- "advanced": false,
- "dynamic": false,
- "info": "The OpenAI API Key to use for the OpenAI model.",
- "load_from_db": true,
- "title_case": false,
- "input_types": [
- "Text"
- ],
- "value": "OPENAI_API_KEY"
- },
- "stream": {
- "type": "bool",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": true,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "stream",
- "display_name": "Stream",
- "advanced": true,
- "dynamic": false,
- "info": "Stream the response from the model. Streaming works only in Chat.",
- "load_from_db": false,
- "title_case": false
- },
- "system_message": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "system_message",
- "display_name": "System Message",
- "advanced": true,
- "dynamic": false,
- "info": "System message to pass to the model.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "temperature": {
- "type": "float",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": 0.1,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "temperature",
- "display_name": "Temperature",
- "advanced": false,
- "dynamic": false,
- "info": "",
- "rangeSpec": {
- "step_type": "float",
- "min": -1,
- "max": 1,
- "step": 0.1
- },
- "load_from_db": false,
- "title_case": false
- },
- "_type": "CustomComponent"
- },
- "description": "Generates text using OpenAI LLMs.",
- "icon": "OpenAI",
- "base_classes": [
- "object",
- "Text",
- "str"
- ],
- "display_name": "OpenAI",
- "documentation": "",
- "custom_fields": {
- "input_value": null,
- "openai_api_key": null,
- "temperature": null,
- "model_name": null,
- "max_tokens": null,
- "model_kwargs": null,
- "openai_api_base": null,
- "stream": null,
- "system_message": null
- },
- "output_types": [
- "Text"
- ],
- "field_formatters": {},
- "frozen": false,
- "field_order": [
- "max_tokens",
- "model_kwargs",
- "model_name",
- "openai_api_base",
- "openai_api_key",
- "temperature",
- "input_value",
- "system_message",
- "stream"
- ],
- "beta": false
- },
- "id": "OpenAIModel-k39HS",
- "description": "Generates text using OpenAI LLMs.",
- "display_name": "OpenAI"
- },
- "selected": false,
- "width": 384,
- "height": 563,
- "positionAbsolute": {
- "x": 634.8148772766217,
- "y": 27.035057029045305
- },
- "dragging": false
+ "description": "Create a prompt template with dynamic variables.",
+ "icon": "prompts",
+ "is_input": null,
+ "is_output": null,
+ "is_composition": null,
+ "base_classes": ["object", "str", "Text"],
+ "name": "",
+ "display_name": "Prompt",
+ "documentation": "",
+ "custom_fields": {
+ "template": ["user_input"]
},
- {
- "id": "ChatOutput-njtka",
- "type": "genericNode",
- "position": {
- "x": 1193.250417197867,
- "y": 71.88476890163852
- },
- "data": {
- "type": "ChatOutput",
- "node": {
- "template": {
- "code": {
- "type": "code",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n record_template: Optional[str] = \"{text}\",\n ) -> Union[Text, Record]:\n return super().build_with_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n record_template=record_template or \"\",\n )\n",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "code",
- "advanced": true,
- "dynamic": true,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "input_value": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "input_value",
- "display_name": "Message",
- "advanced": false,
- "input_types": [
- "Text"
- ],
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "record_template": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "{text}",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "record_template",
- "display_name": "Record Template",
- "advanced": true,
- "dynamic": false,
- "info": "In case of Message being a Record, this template will be used to convert it to text.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "return_record": {
- "type": "bool",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "return_record",
- "display_name": "Return Record",
- "advanced": true,
- "dynamic": false,
- "info": "Return the message as a record containing the sender, sender_name, and session_id.",
- "load_from_db": false,
- "title_case": false
- },
- "sender": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": true,
- "show": true,
- "multiline": false,
- "value": "Machine",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "options": [
- "Machine",
- "User"
- ],
- "name": "sender",
- "display_name": "Sender Type",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "sender_name": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": "AI",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "sender_name",
- "display_name": "Sender Name",
- "advanced": false,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "session_id": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "session_id",
- "display_name": "Session ID",
- "advanced": true,
- "dynamic": false,
- "info": "If provided, the message will be stored in the memory.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "_type": "CustomComponent"
- },
- "description": "Display a chat message in the Playground.",
- "icon": "ChatOutput",
- "base_classes": [
- "Record",
- "Text",
- "str",
- "object"
- ],
- "display_name": "Chat Output",
- "documentation": "",
- "custom_fields": {
- "sender": null,
- "sender_name": null,
- "input_value": null,
- "session_id": null,
- "return_record": null,
- "record_template": null
- },
- "output_types": [
- "Text",
- "Record"
- ],
- "field_formatters": {},
- "frozen": false,
- "field_order": [],
- "beta": false
- },
- "id": "ChatOutput-njtka"
- },
- "selected": false,
- "width": 384,
- "height": 383,
- "positionAbsolute": {
- "x": 1193.250417197867,
- "y": 71.88476890163852
- },
- "dragging": false
- },
- {
- "id": "ChatInput-P3fgL",
- "type": "genericNode",
- "position": {
- "x": -495.2223093083827,
- "y": -232.56998443685862
- },
- "data": {
- "type": "ChatInput",
- "node": {
- "template": {
- "code": {
- "type": "code",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n icon = \"ChatInput\"\n\n def build_config(self):\n build_config = super().build_config()\n build_config[\"input_value\"] = {\n \"input_types\": [],\n \"display_name\": \"Message\",\n \"multiline\": True,\n }\n\n return build_config\n\n def build(\n self,\n sender: Optional[str] = \"User\",\n sender_name: Optional[str] = \"User\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n ) -> Union[Text, Record]:\n return super().build_no_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n )\n",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "code",
- "advanced": true,
- "dynamic": true,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "input_value": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "input_value",
- "display_name": "Message",
- "advanced": false,
- "input_types": [],
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "value": "hi"
- },
- "return_record": {
- "type": "bool",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "return_record",
- "display_name": "Return Record",
- "advanced": true,
- "dynamic": false,
- "info": "Return the message as a record containing the sender, sender_name, and session_id.",
- "load_from_db": false,
- "title_case": false
- },
- "sender": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": true,
- "show": true,
- "multiline": false,
- "value": "User",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "options": [
- "Machine",
- "User"
- ],
- "name": "sender",
- "display_name": "Sender Type",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "sender_name": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": "User",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "sender_name",
- "display_name": "Sender Name",
- "advanced": false,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "session_id": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "session_id",
- "display_name": "Session ID",
- "advanced": true,
- "dynamic": false,
- "info": "If provided, the message will be stored in the memory.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "_type": "CustomComponent"
- },
- "description": "Get chat inputs from the Playground.",
- "icon": "ChatInput",
- "base_classes": [
- "object",
- "Record",
- "str",
- "Text"
- ],
- "display_name": "Chat Input",
- "documentation": "",
- "custom_fields": {
- "sender": null,
- "sender_name": null,
- "input_value": null,
- "session_id": null,
- "return_record": null
- },
- "output_types": [
- "Text",
- "Record"
- ],
- "field_formatters": {},
- "frozen": false,
- "field_order": [],
- "beta": false
- },
- "id": "ChatInput-P3fgL"
- },
- "selected": false,
- "width": 384,
- "height": 375,
- "positionAbsolute": {
- "x": -495.2223093083827,
- "y": -232.56998443685862
- },
- "dragging": false
- }
- ],
- "edges": [
- {
- "source": "OpenAIModel-k39HS",
- "sourceHandle": "{\u0153baseClasses\u0153:[\u0153object\u0153,\u0153Text\u0153,\u0153str\u0153],\u0153dataType\u0153:\u0153OpenAIModel\u0153,\u0153id\u0153:\u0153OpenAIModel-k39HS\u0153}",
- "target": "ChatOutput-njtka",
- "targetHandle": "{\u0153fieldName\u0153:\u0153input_value\u0153,\u0153id\u0153:\u0153ChatOutput-njtka\u0153,\u0153inputTypes\u0153:[\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}",
- "data": {
- "targetHandle": {
- "fieldName": "input_value",
- "id": "ChatOutput-njtka",
- "inputTypes": [
- "Text"
- ],
- "type": "str"
- },
- "sourceHandle": {
- "baseClasses": [
- "object",
- "Text",
- "str"
- ],
- "dataType": "OpenAIModel",
- "id": "OpenAIModel-k39HS"
- }
- },
- "style": {
- "stroke": "#555"
- },
- "className": "stroke-gray-900 stroke-connection",
- "id": "reactflow__edge-OpenAIModel-k39HS{\u0153baseClasses\u0153:[\u0153object\u0153,\u0153Text\u0153,\u0153str\u0153],\u0153dataType\u0153:\u0153OpenAIModel\u0153,\u0153id\u0153:\u0153OpenAIModel-k39HS\u0153}-ChatOutput-njtka{\u0153fieldName\u0153:\u0153input_value\u0153,\u0153id\u0153:\u0153ChatOutput-njtka\u0153,\u0153inputTypes\u0153:[\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}"
- },
- {
- "source": "Prompt-uxBqP",
- "sourceHandle": "{\u0153baseClasses\u0153:[\u0153object\u0153,\u0153str\u0153,\u0153Text\u0153],\u0153dataType\u0153:\u0153Prompt\u0153,\u0153id\u0153:\u0153Prompt-uxBqP\u0153}",
- "target": "OpenAIModel-k39HS",
- "targetHandle": "{\u0153fieldName\u0153:\u0153input_value\u0153,\u0153id\u0153:\u0153OpenAIModel-k39HS\u0153,\u0153inputTypes\u0153:[\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}",
- "data": {
- "targetHandle": {
- "fieldName": "input_value",
- "id": "OpenAIModel-k39HS",
- "inputTypes": [
- "Text"
- ],
- "type": "str"
- },
- "sourceHandle": {
- "baseClasses": [
- "object",
- "str",
- "Text"
- ],
- "dataType": "Prompt",
- "id": "Prompt-uxBqP"
- }
- },
- "style": {
- "stroke": "#555"
- },
- "className": "stroke-gray-900 stroke-connection",
- "id": "reactflow__edge-Prompt-uxBqP{\u0153baseClasses\u0153:[\u0153object\u0153,\u0153str\u0153,\u0153Text\u0153],\u0153dataType\u0153:\u0153Prompt\u0153,\u0153id\u0153:\u0153Prompt-uxBqP\u0153}-OpenAIModel-k39HS{\u0153fieldName\u0153:\u0153input_value\u0153,\u0153id\u0153:\u0153OpenAIModel-k39HS\u0153,\u0153inputTypes\u0153:[\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}"
- },
- {
- "source": "ChatInput-P3fgL",
- "sourceHandle": "{\u0153baseClasses\u0153:[\u0153object\u0153,\u0153Record\u0153,\u0153str\u0153,\u0153Text\u0153],\u0153dataType\u0153:\u0153ChatInput\u0153,\u0153id\u0153:\u0153ChatInput-P3fgL\u0153}",
- "target": "Prompt-uxBqP",
- "targetHandle": "{\u0153fieldName\u0153:\u0153user_input\u0153,\u0153id\u0153:\u0153Prompt-uxBqP\u0153,\u0153inputTypes\u0153:[\u0153Document\u0153,\u0153BaseOutputParser\u0153,\u0153Record\u0153,\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}",
- "data": {
- "targetHandle": {
- "fieldName": "user_input",
- "id": "Prompt-uxBqP",
- "inputTypes": [
- "Document",
- "BaseOutputParser",
- "Record",
- "Text"
- ],
- "type": "str"
- },
- "sourceHandle": {
- "baseClasses": [
- "object",
- "Record",
- "str",
- "Text"
- ],
- "dataType": "ChatInput",
- "id": "ChatInput-P3fgL"
- }
- },
- "style": {
- "stroke": "#555"
- },
- "className": "stroke-gray-900 stroke-connection",
- "id": "reactflow__edge-ChatInput-P3fgL{\u0153baseClasses\u0153:[\u0153object\u0153,\u0153Record\u0153,\u0153str\u0153,\u0153Text\u0153],\u0153dataType\u0153:\u0153ChatInput\u0153,\u0153id\u0153:\u0153ChatInput-P3fgL\u0153}-Prompt-uxBqP{\u0153fieldName\u0153:\u0153user_input\u0153,\u0153id\u0153:\u0153Prompt-uxBqP\u0153,\u0153inputTypes\u0153:[\u0153Document\u0153,\u0153BaseOutputParser\u0153,\u0153Record\u0153,\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}"
- }
- ],
- "viewport": {
- "x": 260.58251815500563,
- "y": 318.2261172111936,
- "zoom": 0.43514115784696294
+ "output_types": ["Text"],
+ "full_path": null,
+ "field_formatters": {},
+ "frozen": false,
+ "field_order": [],
+ "beta": false,
+ "error": null
+ },
+ "id": "Prompt-uxBqP",
+ "description": "Create a prompt template with dynamic variables.",
+ "display_name": "Prompt"
+ },
+ "selected": true,
+ "width": 384,
+ "height": 383,
+ "dragging": false,
+ "positionAbsolute": {
+ "x": 53.588791333410654,
+ "y": -107.07318910019967
}
- },
- "description": "This flow will get you experimenting with the basics of the UI, the Chat and the Prompt component. \n\nTry changing the Template in it to see how the model behaves. \nYou can change it to this and a Text Input into the `type_of_person` variable : \"Answer the user as if you were a pirate.\n\nUser: {user_input}\n\nAnswer: \" ",
- "name": "Basic Prompting (Hello, World)",
- "last_tested_version": "1.0.0a4",
- "is_component": false
+ },
+ {
+ "id": "OpenAIModel-k39HS",
+ "type": "genericNode",
+ "position": {
+ "x": 634.8148772766217,
+ "y": 27.035057029045305
+ },
+ "data": {
+ "type": "OpenAIModel",
+ "node": {
+ "template": {
+ "input_value": {
+ "type": "str",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "input_value",
+ "display_name": "Input",
+ "advanced": false,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "code": {
+ "type": "code",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\"},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n \"info\": \"The maximum number of tokens to generate. Set to 0 for unlimited tokens.\",\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": MODEL_NAMES,\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float = 0.1,\n model_name: str = \"gpt-4o\",\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens or None,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "code",
+ "advanced": true,
+ "dynamic": true,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "max_tokens": {
+ "type": "int",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": 256,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "max_tokens",
+ "display_name": "Max Tokens",
+ "advanced": true,
+ "dynamic": false,
+ "info": "The maximum number of tokens to generate. Set to 0 for unlimited tokens.",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "model_kwargs": {
+ "type": "NestedDict",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": {},
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "model_kwargs",
+ "display_name": "Model Kwargs",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "model_name": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": true,
+ "show": true,
+ "multiline": false,
+ "value": "gpt-3.5-turbo",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "options": [
+ "gpt-4o",
+ "gpt-4-turbo",
+ "gpt-4-turbo-preview",
+ "gpt-3.5-turbo",
+ "gpt-3.5-turbo-0125"
+ ],
+ "name": "model_name",
+ "display_name": "Model Name",
+ "advanced": false,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "openai_api_base": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "openai_api_base",
+ "display_name": "OpenAI API Base",
+ "advanced": true,
+ "dynamic": false,
+ "info": "The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\n\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "openai_api_key": {
+ "type": "str",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": true,
+ "name": "openai_api_key",
+ "display_name": "OpenAI API Key",
+ "advanced": false,
+ "dynamic": false,
+ "info": "The OpenAI API Key to use for the OpenAI model.",
+ "load_from_db": true,
+ "title_case": false,
+ "input_types": ["Text"],
+ "value": "OPENAI_API_KEY"
+ },
+ "stream": {
+ "type": "bool",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": true,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "stream",
+ "display_name": "Stream",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Stream the response from the model. Streaming works only in Chat.",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "system_message": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "system_message",
+ "display_name": "System Message",
+ "advanced": true,
+ "dynamic": false,
+ "info": "System message to pass to the model.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "temperature": {
+ "type": "float",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": 0.1,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "temperature",
+ "display_name": "Temperature",
+ "advanced": false,
+ "dynamic": false,
+ "info": "",
+ "rangeSpec": {
+ "step_type": "float",
+ "min": -1,
+ "max": 1,
+ "step": 0.1
+ },
+ "load_from_db": false,
+ "title_case": false
+ },
+ "_type": "CustomComponent"
+ },
+ "description": "Generates text using OpenAI LLMs.",
+ "icon": "OpenAI",
+ "base_classes": ["object", "Text", "str"],
+ "display_name": "OpenAI",
+ "documentation": "",
+ "custom_fields": {
+ "input_value": null,
+ "openai_api_key": null,
+ "temperature": null,
+ "model_name": null,
+ "max_tokens": null,
+ "model_kwargs": null,
+ "openai_api_base": null,
+ "stream": null,
+ "system_message": null
+ },
+ "output_types": ["Text"],
+ "field_formatters": {},
+ "frozen": false,
+ "field_order": [
+ "max_tokens",
+ "model_kwargs",
+ "model_name",
+ "openai_api_base",
+ "openai_api_key",
+ "temperature",
+ "input_value",
+ "system_message",
+ "stream"
+ ],
+ "beta": false
+ },
+ "id": "OpenAIModel-k39HS",
+ "description": "Generates text using OpenAI LLMs.",
+ "display_name": "OpenAI"
+ },
+ "selected": false,
+ "width": 384,
+ "height": 563,
+ "positionAbsolute": {
+ "x": 634.8148772766217,
+ "y": 27.035057029045305
+ },
+ "dragging": false
+ },
+ {
+ "id": "ChatOutput-njtka",
+ "type": "genericNode",
+ "position": {
+ "x": 1193.250417197867,
+ "y": 71.88476890163852
+ },
+ "data": {
+ "type": "ChatOutput",
+ "node": {
+ "template": {
+ "code": {
+ "type": "code",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n record_template: Optional[str] = \"{text}\",\n ) -> Union[Text, Record]:\n return super().build_with_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n record_template=record_template or \"\",\n )\n",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "code",
+ "advanced": true,
+ "dynamic": true,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "input_value": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "input_value",
+ "display_name": "Message",
+ "advanced": false,
+ "input_types": ["Text"],
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "record_template": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "{text}",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "record_template",
+ "display_name": "Record Template",
+ "advanced": true,
+ "dynamic": false,
+ "info": "In case of Message being a Record, this template will be used to convert it to text.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "return_record": {
+ "type": "bool",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "return_record",
+ "display_name": "Return Record",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Return the message as a record containing the sender, sender_name, and session_id.",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "sender": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": true,
+ "show": true,
+ "multiline": false,
+ "value": "Machine",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "options": ["Machine", "User"],
+ "name": "sender",
+ "display_name": "Sender Type",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "sender_name": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": "AI",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "sender_name",
+ "display_name": "Sender Name",
+ "advanced": false,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "session_id": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "session_id",
+ "display_name": "Session ID",
+ "advanced": true,
+ "dynamic": false,
+ "info": "If provided, the message will be stored in the memory.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "_type": "CustomComponent"
+ },
+ "description": "Display a chat message in the Playground.",
+ "icon": "ChatOutput",
+ "base_classes": ["Record", "Text", "str", "object"],
+ "display_name": "Chat Output",
+ "documentation": "",
+ "custom_fields": {
+ "sender": null,
+ "sender_name": null,
+ "input_value": null,
+ "session_id": null,
+ "return_record": null,
+ "record_template": null
+ },
+ "output_types": ["Text", "Record"],
+ "field_formatters": {},
+ "frozen": false,
+ "field_order": [],
+ "beta": false
+ },
+ "id": "ChatOutput-njtka"
+ },
+ "selected": false,
+ "width": 384,
+ "height": 383,
+ "positionAbsolute": {
+ "x": 1193.250417197867,
+ "y": 71.88476890163852
+ },
+ "dragging": false
+ },
+ {
+ "id": "ChatInput-P3fgL",
+ "type": "genericNode",
+ "position": {
+ "x": -495.2223093083827,
+ "y": -232.56998443685862
+ },
+ "data": {
+ "type": "ChatInput",
+ "node": {
+ "template": {
+ "code": {
+ "type": "code",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n icon = \"ChatInput\"\n\n def build_config(self):\n build_config = super().build_config()\n build_config[\"input_value\"] = {\n \"input_types\": [],\n \"display_name\": \"Message\",\n \"multiline\": True,\n }\n\n return build_config\n\n def build(\n self,\n sender: Optional[str] = \"User\",\n sender_name: Optional[str] = \"User\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n ) -> Union[Text, Record]:\n return super().build_no_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n )\n",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "code",
+ "advanced": true,
+ "dynamic": true,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "input_value": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "input_value",
+ "display_name": "Message",
+ "advanced": false,
+ "input_types": [],
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "value": "hi"
+ },
+ "return_record": {
+ "type": "bool",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "return_record",
+ "display_name": "Return Record",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Return the message as a record containing the sender, sender_name, and session_id.",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "sender": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": true,
+ "show": true,
+ "multiline": false,
+ "value": "User",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "options": ["Machine", "User"],
+ "name": "sender",
+ "display_name": "Sender Type",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "sender_name": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": "User",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "sender_name",
+ "display_name": "Sender Name",
+ "advanced": false,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "session_id": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "session_id",
+ "display_name": "Session ID",
+ "advanced": true,
+ "dynamic": false,
+ "info": "If provided, the message will be stored in the memory.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "_type": "CustomComponent"
+ },
+ "description": "Get chat inputs from the Playground.",
+ "icon": "ChatInput",
+ "base_classes": ["object", "Record", "str", "Text"],
+ "display_name": "Chat Input",
+ "documentation": "",
+ "custom_fields": {
+ "sender": null,
+ "sender_name": null,
+ "input_value": null,
+ "session_id": null,
+ "return_record": null
+ },
+ "output_types": ["Text", "Record"],
+ "field_formatters": {},
+ "frozen": false,
+ "field_order": [],
+ "beta": false
+ },
+ "id": "ChatInput-P3fgL"
+ },
+ "selected": false,
+ "width": 384,
+ "height": 375,
+ "positionAbsolute": {
+ "x": -495.2223093083827,
+ "y": -232.56998443685862
+ },
+ "dragging": false
+ }
+ ],
+ "edges": [
+ {
+ "source": "OpenAIModel-k39HS",
+ "sourceHandle": "{œbaseClassesœ:[œobjectœ,œTextœ,œstrœ],œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-k39HSœ}",
+ "target": "ChatOutput-njtka",
+ "targetHandle": "{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-njtkaœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}",
+ "data": {
+ "targetHandle": {
+ "fieldName": "input_value",
+ "id": "ChatOutput-njtka",
+ "inputTypes": ["Text"],
+ "type": "str"
+ },
+ "sourceHandle": {
+ "baseClasses": ["object", "Text", "str"],
+ "dataType": "OpenAIModel",
+ "id": "OpenAIModel-k39HS"
+ }
+ },
+ "style": {
+ "stroke": "#555"
+ },
+ "className": "stroke-gray-900 stroke-connection",
+ "id": "reactflow__edge-OpenAIModel-k39HS{œbaseClassesœ:[œobjectœ,œTextœ,œstrœ],œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-k39HSœ}-ChatOutput-njtka{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-njtkaœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}"
+ },
+ {
+ "source": "Prompt-uxBqP",
+ "sourceHandle": "{œbaseClassesœ:[œobjectœ,œstrœ,œTextœ],œdataTypeœ:œPromptœ,œidœ:œPrompt-uxBqPœ}",
+ "target": "OpenAIModel-k39HS",
+ "targetHandle": "{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-k39HSœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}",
+ "data": {
+ "targetHandle": {
+ "fieldName": "input_value",
+ "id": "OpenAIModel-k39HS",
+ "inputTypes": ["Text"],
+ "type": "str"
+ },
+ "sourceHandle": {
+ "baseClasses": ["object", "str", "Text"],
+ "dataType": "Prompt",
+ "id": "Prompt-uxBqP"
+ }
+ },
+ "style": {
+ "stroke": "#555"
+ },
+ "className": "stroke-gray-900 stroke-connection",
+ "id": "reactflow__edge-Prompt-uxBqP{œbaseClassesœ:[œobjectœ,œstrœ,œTextœ],œdataTypeœ:œPromptœ,œidœ:œPrompt-uxBqPœ}-OpenAIModel-k39HS{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-k39HSœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}"
+ },
+ {
+ "source": "ChatInput-P3fgL",
+ "sourceHandle": "{œbaseClassesœ:[œobjectœ,œRecordœ,œstrœ,œTextœ],œdataTypeœ:œChatInputœ,œidœ:œChatInput-P3fgLœ}",
+ "target": "Prompt-uxBqP",
+ "targetHandle": "{œfieldNameœ:œuser_inputœ,œidœ:œPrompt-uxBqPœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}",
+ "data": {
+ "targetHandle": {
+ "fieldName": "user_input",
+ "id": "Prompt-uxBqP",
+ "inputTypes": ["Document", "BaseOutputParser", "Record", "Text"],
+ "type": "str"
+ },
+ "sourceHandle": {
+ "baseClasses": ["object", "Record", "str", "Text"],
+ "dataType": "ChatInput",
+ "id": "ChatInput-P3fgL"
+ }
+ },
+ "style": {
+ "stroke": "#555"
+ },
+ "className": "stroke-gray-900 stroke-connection",
+ "id": "reactflow__edge-ChatInput-P3fgL{œbaseClassesœ:[œobjectœ,œRecordœ,œstrœ,œTextœ],œdataTypeœ:œChatInputœ,œidœ:œChatInput-P3fgLœ}-Prompt-uxBqP{œfieldNameœ:œuser_inputœ,œidœ:œPrompt-uxBqPœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}"
+ }
+ ],
+ "viewport": {
+ "x": 260.58251815500563,
+ "y": 318.2261172111936,
+ "zoom": 0.43514115784696294
+ }
+ },
+ "description": "This flow will get you experimenting with the basics of the UI, the Chat and the Prompt component. \n\nTry changing the Template in it to see how the model behaves. \nYou can change it to this and a Text Input into the `type_of_person` variable : \"Answer the user as if you were a pirate.\n\nUser: {user_input}\n\nAnswer: \" ",
+ "name": "Basic Prompting (Hello, World)",
+ "last_tested_version": "1.0.0a4",
+ "is_component": false
}
diff --git a/src/backend/base/langflow/initial_setup/starter_projects/Langflow Blog Writter.json b/src/backend/base/langflow/initial_setup/starter_projects/Langflow Blog Writter.json
index bd6013ad5..fcdef4056 100644
--- a/src/backend/base/langflow/initial_setup/starter_projects/Langflow Blog Writter.json
+++ b/src/backend/base/langflow/initial_setup/starter_projects/Langflow Blog Writter.json
@@ -1,1096 +1,987 @@
{
- "id": "6ad5559d-fb66-4fdc-8f98-96f4ac12799d",
- "data": {
- "nodes": [
- {
- "id": "Prompt-Rse03",
- "type": "genericNode",
- "position": {
- "x": 1331.381712783371,
- "y": 535.0279854229713
- },
- "data": {
- "type": "Prompt",
- "node": {
- "template": {
- "code": {
- "type": "code",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "from langchain_core.prompts import PromptTemplate\n\nfrom langflow.custom import CustomComponent\nfrom langflow.field_typing import Prompt, TemplateField, Text\n\n\nclass PromptComponent(CustomComponent):\n display_name: str = \"Prompt\"\n description: str = \"Create a prompt template with dynamic variables.\"\n icon = \"prompts\"\n\n def build_config(self):\n return {\n \"template\": TemplateField(display_name=\"Template\"),\n \"code\": TemplateField(advanced=True),\n }\n\n def build(\n self,\n template: Prompt,\n **kwargs,\n ) -> Text:\n from langflow.base.prompts.utils import dict_values_to_string\n\n prompt_template = PromptTemplate.from_template(Text(template))\n kwargs = dict_values_to_string(kwargs)\n kwargs = {k: \"\\n\".join(v) if isinstance(v, list) else v for k, v in kwargs.items()}\n try:\n formated_prompt = prompt_template.format(**kwargs)\n except Exception as exc:\n raise ValueError(f\"Error formatting prompt: {exc}\") from exc\n self.status = f'Prompt:\\n\"{formated_prompt}\"'\n return formated_prompt\n",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "code",
- "advanced": true,
- "dynamic": true,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "template": {
- "type": "prompt",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": "Reference 1:\n\n{reference_1}\n\n---\n\nReference 2:\n\n{reference_2}\n\n---\n\n{instructions}\n\nBlog: \n\n\n",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "template",
- "display_name": "Template",
- "advanced": false,
- "input_types": [
- "Text"
- ],
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "_type": "CustomComponent",
- "reference_1": {
- "field_type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "reference_1",
- "display_name": "reference_1",
- "advanced": false,
- "input_types": [
- "Document",
- "BaseOutputParser",
- "Record",
- "Text"
- ],
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "type": "str"
- },
- "reference_2": {
- "field_type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "reference_2",
- "display_name": "reference_2",
- "advanced": false,
- "input_types": [
- "Document",
- "BaseOutputParser",
- "Record",
- "Text"
- ],
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "type": "str"
- },
- "instructions": {
- "field_type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "instructions",
- "display_name": "instructions",
- "advanced": false,
- "input_types": [
- "Document",
- "BaseOutputParser",
- "Record",
- "Text"
- ],
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "type": "str"
- }
- },
- "description": "Create a prompt template with dynamic variables.",
- "icon": "prompts",
- "is_input": null,
- "is_output": null,
- "is_composition": null,
- "base_classes": [
- "object",
- "Text",
- "str"
- ],
- "name": "",
- "display_name": "Prompt",
- "documentation": "",
- "custom_fields": {
- "template": [
- "reference_1",
- "reference_2",
- "instructions"
- ]
- },
- "output_types": [
- "Text"
- ],
- "full_path": null,
- "field_formatters": {},
- "frozen": false,
- "field_order": [],
- "beta": false,
- "error": null
- },
- "id": "Prompt-Rse03",
- "description": "Create a prompt template with dynamic variables.",
- "display_name": "Prompt"
- },
- "selected": false,
- "width": 384,
- "height": 571,
- "dragging": false,
- "positionAbsolute": {
- "x": 1331.381712783371,
- "y": 535.0279854229713
- }
+ "id": "6ad5559d-fb66-4fdc-8f98-96f4ac12799d",
+ "data": {
+ "nodes": [
+ {
+ "id": "Prompt-Rse03",
+ "type": "genericNode",
+ "position": {
+ "x": 1331.381712783371,
+ "y": 535.0279854229713
+ },
+ "data": {
+ "type": "Prompt",
+ "node": {
+ "template": {
+ "code": {
+ "type": "code",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "from langchain_core.prompts import PromptTemplate\n\nfrom langflow.custom import CustomComponent\nfrom langflow.field_typing import Prompt, TemplateField, Text\n\n\nclass PromptComponent(CustomComponent):\n display_name: str = \"Prompt\"\n description: str = \"Create a prompt template with dynamic variables.\"\n icon = \"prompts\"\n\n def build_config(self):\n return {\n \"template\": TemplateField(display_name=\"Template\"),\n \"code\": TemplateField(advanced=True),\n }\n\n def build(\n self,\n template: Prompt,\n **kwargs,\n ) -> Text:\n from langflow.base.prompts.utils import dict_values_to_string\n\n prompt_template = PromptTemplate.from_template(Text(template))\n kwargs = dict_values_to_string(kwargs)\n kwargs = {k: \"\\n\".join(v) if isinstance(v, list) else v for k, v in kwargs.items()}\n try:\n formated_prompt = prompt_template.format(**kwargs)\n except Exception as exc:\n raise ValueError(f\"Error formatting prompt: {exc}\") from exc\n self.status = f'Prompt:\\n\"{formated_prompt}\"'\n return formated_prompt\n",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "code",
+ "advanced": true,
+ "dynamic": true,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "template": {
+ "type": "prompt",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": "Reference 1:\n\n{reference_1}\n\n---\n\nReference 2:\n\n{reference_2}\n\n---\n\n{instructions}\n\nBlog: \n\n\n",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "template",
+ "display_name": "Template",
+ "advanced": false,
+ "input_types": ["Text"],
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "_type": "CustomComponent",
+ "reference_1": {
+ "field_type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "reference_1",
+ "display_name": "reference_1",
+ "advanced": false,
+ "input_types": [
+ "Document",
+ "BaseOutputParser",
+ "Record",
+ "Text"
+ ],
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "type": "str"
+ },
+ "reference_2": {
+ "field_type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "reference_2",
+ "display_name": "reference_2",
+ "advanced": false,
+ "input_types": [
+ "Document",
+ "BaseOutputParser",
+ "Record",
+ "Text"
+ ],
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "type": "str"
+ },
+ "instructions": {
+ "field_type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "instructions",
+ "display_name": "instructions",
+ "advanced": false,
+ "input_types": [
+ "Document",
+ "BaseOutputParser",
+ "Record",
+ "Text"
+ ],
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "type": "str"
+ }
},
- {
- "id": "URL-HYPkR",
- "type": "genericNode",
- "position": {
- "x": 568.2971412887712,
- "y": 700.9983368007821
- },
- "data": {
- "type": "URL",
- "node": {
- "template": {
- "code": {
- "type": "code",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "from typing import Any, Dict\n\nfrom langchain_community.document_loaders.web_base import WebBaseLoader\n\nfrom langflow.custom import CustomComponent\nfrom langflow.schema import Record\n\n\nclass URLComponent(CustomComponent):\n display_name = \"URL\"\n description = \"Fetch content from one or more URLs.\"\n icon = \"layout-template\"\n\n def build_config(self) -> Dict[str, Any]:\n return {\n \"urls\": {\"display_name\": \"URL\"},\n }\n\n def build(\n self,\n urls: list[str],\n ) -> list[Record]:\n loader = WebBaseLoader(web_paths=urls)\n docs = loader.load()\n records = self.to_records(docs)\n self.status = records\n return records\n",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "code",
- "advanced": true,
- "dynamic": true,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "urls": {
- "type": "str",
- "required": true,
- "placeholder": "",
- "list": true,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "urls",
- "display_name": "URL",
- "advanced": false,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ],
- "value": [
- "https://www.promptingguide.ai/techniques/prompt_chaining"
- ]
- },
- "_type": "CustomComponent"
- },
- "description": "Fetch content from one or more URLs.",
- "icon": "layout-template",
- "base_classes": [
- "Record"
- ],
- "display_name": "URL",
- "documentation": "",
- "custom_fields": {
- "urls": null
- },
- "output_types": [
- "Record"
- ],
- "field_formatters": {},
- "frozen": false,
- "field_order": [],
- "beta": false
- },
- "id": "URL-HYPkR"
- },
- "selected": false,
- "width": 384,
- "height": 281,
- "positionAbsolute": {
- "x": 568.2971412887712,
- "y": 700.9983368007821
- },
- "dragging": false
+ "description": "Create a prompt template with dynamic variables.",
+ "icon": "prompts",
+ "is_input": null,
+ "is_output": null,
+ "is_composition": null,
+ "base_classes": ["object", "Text", "str"],
+ "name": "",
+ "display_name": "Prompt",
+ "documentation": "",
+ "custom_fields": {
+ "template": ["reference_1", "reference_2", "instructions"]
},
- {
- "id": "ChatOutput-JPlxl",
- "type": "genericNode",
- "position": {
- "x": 2503.8617424688505,
- "y": 789.3005578928434
- },
- "data": {
- "type": "ChatOutput",
- "node": {
- "template": {
- "code": {
- "type": "code",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n record_template: Optional[str] = \"{text}\",\n ) -> Union[Text, Record]:\n return super().build_with_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n record_template=record_template or \"\",\n )\n",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "code",
- "advanced": true,
- "dynamic": true,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "input_value": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "input_value",
- "display_name": "Message",
- "advanced": false,
- "input_types": [
- "Text"
- ],
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "record_template": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "{text}",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "record_template",
- "display_name": "Record Template",
- "advanced": true,
- "dynamic": false,
- "info": "In case of Message being a Record, this template will be used to convert it to text.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "return_record": {
- "type": "bool",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "return_record",
- "display_name": "Return Record",
- "advanced": true,
- "dynamic": false,
- "info": "Return the message as a record containing the sender, sender_name, and session_id.",
- "load_from_db": false,
- "title_case": false
- },
- "sender": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": true,
- "show": true,
- "multiline": false,
- "value": "Machine",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "options": [
- "Machine",
- "User"
- ],
- "name": "sender",
- "display_name": "Sender Type",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "sender_name": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": "AI",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "sender_name",
- "display_name": "Sender Name",
- "advanced": false,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "session_id": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "session_id",
- "display_name": "Session ID",
- "advanced": true,
- "dynamic": false,
- "info": "If provided, the message will be stored in the memory.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "_type": "CustomComponent"
- },
- "description": "Display a chat message in the Playground.",
- "icon": "ChatOutput",
- "base_classes": [
- "Text",
- "Record",
- "object",
- "str"
- ],
- "display_name": "Chat Output",
- "documentation": "",
- "custom_fields": {
- "sender": null,
- "sender_name": null,
- "input_value": null,
- "session_id": null,
- "return_record": null,
- "record_template": null
- },
- "output_types": [
- "Text",
- "Record"
- ],
- "field_formatters": {},
- "frozen": false,
- "field_order": [],
- "beta": false
- },
- "id": "ChatOutput-JPlxl"
- },
- "selected": false,
- "width": 384,
- "height": 383
- },
- {
- "id": "OpenAIModel-gi29P",
- "type": "genericNode",
- "position": {
- "x": 1917.7089968570963,
- "y": 575.9186499244129
- },
- "data": {
- "type": "OpenAIModel",
- "node": {
- "template": {
- "input_value": {
- "type": "str",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "input_value",
- "display_name": "Input",
- "advanced": false,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "code": {
- "type": "code",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\"},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n \"info\": \"The maximum number of tokens to generate. Set to 0 for unlimited tokens.\",\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": MODEL_NAMES,\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float,\n model_name: str = \"gpt-4o\",\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens or None,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "code",
- "advanced": true,
- "dynamic": true,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "max_tokens": {
- "type": "int",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": "1024",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "max_tokens",
- "display_name": "Max Tokens",
- "advanced": true,
- "dynamic": false,
- "info": "The maximum number of tokens to generate. Set to 0 for unlimited tokens.",
- "load_from_db": false,
- "title_case": false
- },
- "model_kwargs": {
- "type": "NestedDict",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": {},
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "model_kwargs",
- "display_name": "Model Kwargs",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "model_name": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": true,
- "show": true,
- "multiline": false,
- "value": "gpt-3.5-turbo-0125",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "options": [
- "gpt-4o",
- "gpt-4-turbo",
- "gpt-4-turbo-preview",
- "gpt-3.5-turbo",
- "gpt-3.5-turbo-0125"
- ],
- "name": "model_name",
- "display_name": "Model Name",
- "advanced": false,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "openai_api_base": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "openai_api_base",
- "display_name": "OpenAI API Base",
- "advanced": true,
- "dynamic": false,
- "info": "The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\n\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "openai_api_key": {
- "type": "str",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": true,
- "name": "openai_api_key",
- "display_name": "OpenAI API Key",
- "advanced": false,
- "dynamic": false,
- "info": "The OpenAI API Key to use for the OpenAI model.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ],
- "value": "OPENAI_API_KEY"
- },
- "stream": {
- "type": "bool",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": true,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "stream",
- "display_name": "Stream",
- "advanced": true,
- "dynamic": false,
- "info": "Stream the response from the model. Streaming works only in Chat.",
- "load_from_db": false,
- "title_case": false
- },
- "system_message": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "system_message",
- "display_name": "System Message",
- "advanced": true,
- "dynamic": false,
- "info": "System message to pass to the model.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "temperature": {
- "type": "float",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": "0.1",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "temperature",
- "display_name": "Temperature",
- "advanced": false,
- "dynamic": false,
- "info": "",
- "rangeSpec": {
- "step_type": "float",
- "min": -1,
- "max": 1,
- "step": 0.1
- },
- "load_from_db": false,
- "title_case": false
- },
- "_type": "CustomComponent"
- },
- "description": "Generates text using OpenAI LLMs.",
- "icon": "OpenAI",
- "base_classes": [
- "str",
- "Text",
- "object"
- ],
- "display_name": "OpenAI",
- "documentation": "",
- "custom_fields": {
- "input_value": null,
- "openai_api_key": null,
- "temperature": null,
- "model_name": null,
- "max_tokens": null,
- "model_kwargs": null,
- "openai_api_base": null,
- "stream": null,
- "system_message": null
- },
- "output_types": [
- "Text"
- ],
- "field_formatters": {},
- "frozen": false,
- "field_order": [
- "max_tokens",
- "model_kwargs",
- "model_name",
- "openai_api_base",
- "openai_api_key",
- "temperature",
- "input_value",
- "system_message",
- "stream"
- ],
- "beta": false
- },
- "id": "OpenAIModel-gi29P"
- },
- "selected": false,
- "width": 384,
- "height": 563,
- "positionAbsolute": {
- "x": 1917.7089968570963,
- "y": 575.9186499244129
- },
- "dragging": false
- },
- {
- "id": "URL-2cX90",
- "type": "genericNode",
- "position": {
- "x": 573.961301764604,
- "y": 336.41463436122086
- },
- "data": {
- "type": "URL",
- "node": {
- "template": {
- "code": {
- "type": "code",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "from typing import Any, Dict\n\nfrom langchain_community.document_loaders.web_base import WebBaseLoader\n\nfrom langflow.custom import CustomComponent\nfrom langflow.schema import Record\n\n\nclass URLComponent(CustomComponent):\n display_name = \"URL\"\n description = \"Fetch content from one or more URLs.\"\n icon = \"layout-template\"\n\n def build_config(self) -> Dict[str, Any]:\n return {\n \"urls\": {\"display_name\": \"URL\"},\n }\n\n def build(\n self,\n urls: list[str],\n ) -> list[Record]:\n loader = WebBaseLoader(web_paths=urls)\n docs = loader.load()\n records = self.to_records(docs)\n self.status = records\n return records\n",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "code",
- "advanced": true,
- "dynamic": true,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "urls": {
- "type": "str",
- "required": true,
- "placeholder": "",
- "list": true,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "urls",
- "display_name": "URL",
- "advanced": false,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ],
- "value": [
- "https://www.promptingguide.ai/introduction/basics"
- ]
- },
- "_type": "CustomComponent"
- },
- "description": "Fetch content from one or more URLs.",
- "icon": "layout-template",
- "base_classes": [
- "Record"
- ],
- "display_name": "URL",
- "documentation": "",
- "custom_fields": {
- "urls": null
- },
- "output_types": [
- "Record"
- ],
- "field_formatters": {},
- "frozen": false,
- "field_order": [],
- "beta": false
- },
- "id": "URL-2cX90"
- },
- "selected": false,
- "width": 384,
- "height": 281,
- "positionAbsolute": {
- "x": 573.961301764604,
- "y": 336.41463436122086
- },
- "dragging": false
- },
- {
- "id": "TextInput-og8Or",
- "type": "genericNode",
- "position": {
- "x": 569.9387927203336,
- "y": 1095.3352160671316
- },
- "data": {
- "type": "TextInput",
- "node": {
- "template": {
- "code": {
- "type": "code",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "from typing import Optional\n\nfrom langflow.base.io.text import TextComponent\nfrom langflow.field_typing import Text\n\n\nclass TextInput(TextComponent):\n display_name = \"Text Input\"\n description = \"Get text inputs from the Playground.\"\n icon = \"type\"\n\n def build_config(self):\n return {\n \"input_value\": {\n \"display_name\": \"Value\",\n \"input_types\": [\"Record\", \"Text\"],\n \"info\": \"Text or Record to be passed as input.\",\n },\n \"record_template\": {\n \"display_name\": \"Record Template\",\n \"multiline\": True,\n \"info\": \"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Optional[str] = \"\",\n record_template: Optional[str] = \"\",\n ) -> Text:\n return super().build(input_value=input_value, record_template=record_template)\n",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "code",
- "advanced": true,
- "dynamic": true,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "input_value": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": "Use the references above for style to write a new blog/tutorial about prompt engineering techniques. Suggest non-covered topics.",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "input_value",
- "display_name": "Value",
- "advanced": false,
- "input_types": [
- "Record",
- "Text"
- ],
- "dynamic": false,
- "info": "Text or Record to be passed as input.",
- "load_from_db": false,
- "title_case": false
- },
- "record_template": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "record_template",
- "display_name": "Record Template",
- "advanced": true,
- "dynamic": false,
- "info": "Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "_type": "CustomComponent"
- },
- "description": "Get text inputs from the Playground.",
- "icon": "type",
- "base_classes": [
- "object",
- "Text",
- "str"
- ],
- "display_name": "Instructions",
- "documentation": "",
- "custom_fields": {
- "input_value": null,
- "record_template": null
- },
- "output_types": [
- "Text"
- ],
- "field_formatters": {},
- "frozen": false,
- "field_order": [],
- "beta": false
- },
- "id": "TextInput-og8Or"
- },
- "selected": false,
- "width": 384,
- "height": 289,
- "positionAbsolute": {
- "x": 569.9387927203336,
- "y": 1095.3352160671316
- },
- "dragging": false
- }
- ],
- "edges": [
- {
- "source": "URL-HYPkR",
- "target": "Prompt-Rse03",
- "sourceHandle": "{\u0153baseClasses\u0153:[\u0153Record\u0153],\u0153dataType\u0153:\u0153URL\u0153,\u0153id\u0153:\u0153URL-HYPkR\u0153}",
- "targetHandle": "{\u0153fieldName\u0153:\u0153reference_2\u0153,\u0153id\u0153:\u0153Prompt-Rse03\u0153,\u0153inputTypes\u0153:[\u0153Document\u0153,\u0153BaseOutputParser\u0153,\u0153Record\u0153,\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}",
- "id": "reactflow__edge-URL-HYPkR{\u0153baseClasses\u0153:[\u0153Record\u0153],\u0153dataType\u0153:\u0153URL\u0153,\u0153id\u0153:\u0153URL-HYPkR\u0153}-Prompt-Rse03{\u0153fieldName\u0153:\u0153reference_2\u0153,\u0153id\u0153:\u0153Prompt-Rse03\u0153,\u0153inputTypes\u0153:[\u0153Document\u0153,\u0153BaseOutputParser\u0153,\u0153Record\u0153,\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}",
- "data": {
- "targetHandle": {
- "fieldName": "reference_2",
- "id": "Prompt-Rse03",
- "inputTypes": [
- "Document",
- "BaseOutputParser",
- "Record",
- "Text"
- ],
- "type": "str"
- },
- "sourceHandle": {
- "baseClasses": [
- "Record"
- ],
- "dataType": "URL",
- "id": "URL-HYPkR"
- }
- },
- "style": {
- "stroke": "#555"
- },
- "className": "stroke-gray-900 stroke-connection",
- "selected": false
- },
- {
- "source": "OpenAIModel-gi29P",
- "sourceHandle": "{\u0153baseClasses\u0153:[\u0153str\u0153,\u0153Text\u0153,\u0153object\u0153],\u0153dataType\u0153:\u0153OpenAIModel\u0153,\u0153id\u0153:\u0153OpenAIModel-gi29P\u0153}",
- "target": "ChatOutput-JPlxl",
- "targetHandle": "{\u0153fieldName\u0153:\u0153input_value\u0153,\u0153id\u0153:\u0153ChatOutput-JPlxl\u0153,\u0153inputTypes\u0153:[\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}",
- "data": {
- "targetHandle": {
- "fieldName": "input_value",
- "id": "ChatOutput-JPlxl",
- "inputTypes": [
- "Text"
- ],
- "type": "str"
- },
- "sourceHandle": {
- "baseClasses": [
- "str",
- "Text",
- "object"
- ],
- "dataType": "OpenAIModel",
- "id": "OpenAIModel-gi29P"
- }
- },
- "style": {
- "stroke": "#555"
- },
- "className": "stroke-gray-900 stroke-connection",
- "id": "reactflow__edge-OpenAIModel-gi29P{\u0153baseClasses\u0153:[\u0153str\u0153,\u0153Text\u0153,\u0153object\u0153],\u0153dataType\u0153:\u0153OpenAIModel\u0153,\u0153id\u0153:\u0153OpenAIModel-gi29P\u0153}-ChatOutput-JPlxl{\u0153fieldName\u0153:\u0153input_value\u0153,\u0153id\u0153:\u0153ChatOutput-JPlxl\u0153,\u0153inputTypes\u0153:[\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}"
- },
- {
- "source": "URL-2cX90",
- "sourceHandle": "{\u0153baseClasses\u0153:[\u0153Record\u0153],\u0153dataType\u0153:\u0153URL\u0153,\u0153id\u0153:\u0153URL-2cX90\u0153}",
- "target": "Prompt-Rse03",
- "targetHandle": "{\u0153fieldName\u0153:\u0153reference_1\u0153,\u0153id\u0153:\u0153Prompt-Rse03\u0153,\u0153inputTypes\u0153:[\u0153Document\u0153,\u0153BaseOutputParser\u0153,\u0153Record\u0153,\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}",
- "data": {
- "targetHandle": {
- "fieldName": "reference_1",
- "id": "Prompt-Rse03",
- "inputTypes": [
- "Document",
- "BaseOutputParser",
- "Record",
- "Text"
- ],
- "type": "str"
- },
- "sourceHandle": {
- "baseClasses": [
- "Record"
- ],
- "dataType": "URL",
- "id": "URL-2cX90"
- }
- },
- "style": {
- "stroke": "#555"
- },
- "className": "stroke-gray-900 stroke-connection",
- "id": "reactflow__edge-URL-2cX90{\u0153baseClasses\u0153:[\u0153Record\u0153],\u0153dataType\u0153:\u0153URL\u0153,\u0153id\u0153:\u0153URL-2cX90\u0153}-Prompt-Rse03{\u0153fieldName\u0153:\u0153reference_1\u0153,\u0153id\u0153:\u0153Prompt-Rse03\u0153,\u0153inputTypes\u0153:[\u0153Document\u0153,\u0153BaseOutputParser\u0153,\u0153Record\u0153,\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}"
- },
- {
- "source": "TextInput-og8Or",
- "sourceHandle": "{\u0153baseClasses\u0153:[\u0153object\u0153,\u0153Text\u0153,\u0153str\u0153],\u0153dataType\u0153:\u0153TextInput\u0153,\u0153id\u0153:\u0153TextInput-og8Or\u0153}",
- "target": "Prompt-Rse03",
- "targetHandle": "{\u0153fieldName\u0153:\u0153instructions\u0153,\u0153id\u0153:\u0153Prompt-Rse03\u0153,\u0153inputTypes\u0153:[\u0153Document\u0153,\u0153BaseOutputParser\u0153,\u0153Record\u0153,\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}",
- "data": {
- "targetHandle": {
- "fieldName": "instructions",
- "id": "Prompt-Rse03",
- "inputTypes": [
- "Document",
- "BaseOutputParser",
- "Record",
- "Text"
- ],
- "type": "str"
- },
- "sourceHandle": {
- "baseClasses": [
- "object",
- "Text",
- "str"
- ],
- "dataType": "TextInput",
- "id": "TextInput-og8Or"
- }
- },
- "style": {
- "stroke": "#555"
- },
- "className": "stroke-gray-900 stroke-connection",
- "id": "reactflow__edge-TextInput-og8Or{\u0153baseClasses\u0153:[\u0153object\u0153,\u0153Text\u0153,\u0153str\u0153],\u0153dataType\u0153:\u0153TextInput\u0153,\u0153id\u0153:\u0153TextInput-og8Or\u0153}-Prompt-Rse03{\u0153fieldName\u0153:\u0153instructions\u0153,\u0153id\u0153:\u0153Prompt-Rse03\u0153,\u0153inputTypes\u0153:[\u0153Document\u0153,\u0153BaseOutputParser\u0153,\u0153Record\u0153,\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}"
- },
- {
- "source": "Prompt-Rse03",
- "sourceHandle": "{\u0153baseClasses\u0153:[\u0153object\u0153,\u0153Text\u0153,\u0153str\u0153],\u0153dataType\u0153:\u0153Prompt\u0153,\u0153id\u0153:\u0153Prompt-Rse03\u0153}",
- "target": "OpenAIModel-gi29P",
- "targetHandle": "{\u0153fieldName\u0153:\u0153input_value\u0153,\u0153id\u0153:\u0153OpenAIModel-gi29P\u0153,\u0153inputTypes\u0153:[\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}",
- "data": {
- "targetHandle": {
- "fieldName": "input_value",
- "id": "OpenAIModel-gi29P",
- "inputTypes": [
- "Text"
- ],
- "type": "str"
- },
- "sourceHandle": {
- "baseClasses": [
- "object",
- "Text",
- "str"
- ],
- "dataType": "Prompt",
- "id": "Prompt-Rse03"
- }
- },
- "style": {
- "stroke": "#555"
- },
- "className": "stroke-gray-900 stroke-connection",
- "id": "reactflow__edge-Prompt-Rse03{\u0153baseClasses\u0153:[\u0153object\u0153,\u0153Text\u0153,\u0153str\u0153],\u0153dataType\u0153:\u0153Prompt\u0153,\u0153id\u0153:\u0153Prompt-Rse03\u0153}-OpenAIModel-gi29P{\u0153fieldName\u0153:\u0153input_value\u0153,\u0153id\u0153:\u0153OpenAIModel-gi29P\u0153,\u0153inputTypes\u0153:[\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}",
- "selected": false
- }
- ],
- "viewport": {
- "x": -214.14726025721177,
- "y": -35.83855793844168,
- "zoom": 0.47344308394045925
+ "output_types": ["Text"],
+ "full_path": null,
+ "field_formatters": {},
+ "frozen": false,
+ "field_order": [],
+ "beta": false,
+ "error": null
+ },
+ "id": "Prompt-Rse03",
+ "description": "Create a prompt template with dynamic variables.",
+ "display_name": "Prompt"
+ },
+ "selected": false,
+ "width": 384,
+ "height": 571,
+ "dragging": false,
+ "positionAbsolute": {
+ "x": 1331.381712783371,
+ "y": 535.0279854229713
}
- },
- "description": "This flow can be used to create a blog post following instructions from the user, using two other blogs as reference.",
- "name": "Blog Writer",
- "last_tested_version": "1.0.0a0",
- "is_component": false
+ },
+ {
+ "id": "URL-HYPkR",
+ "type": "genericNode",
+ "position": {
+ "x": 568.2971412887712,
+ "y": 700.9983368007821
+ },
+ "data": {
+ "type": "URL",
+ "node": {
+ "template": {
+ "code": {
+ "type": "code",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "from typing import Any, Dict\n\nfrom langchain_community.document_loaders.web_base import WebBaseLoader\n\nfrom langflow.custom import CustomComponent\nfrom langflow.schema import Record\n\n\nclass URLComponent(CustomComponent):\n display_name = \"URL\"\n description = \"Fetch content from one or more URLs.\"\n icon = \"layout-template\"\n\n def build_config(self) -> Dict[str, Any]:\n return {\n \"urls\": {\"display_name\": \"URL\"},\n }\n\n def build(\n self,\n urls: list[str],\n ) -> list[Record]:\n loader = WebBaseLoader(web_paths=urls)\n docs = loader.load()\n records = self.to_records(docs)\n self.status = records\n return records\n",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "code",
+ "advanced": true,
+ "dynamic": true,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "urls": {
+ "type": "str",
+ "required": true,
+ "placeholder": "",
+ "list": true,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "urls",
+ "display_name": "URL",
+ "advanced": false,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"],
+ "value": [
+ "https://www.promptingguide.ai/techniques/prompt_chaining"
+ ]
+ },
+ "_type": "CustomComponent"
+ },
+ "description": "Fetch content from one or more URLs.",
+ "icon": "layout-template",
+ "base_classes": ["Record"],
+ "display_name": "URL",
+ "documentation": "",
+ "custom_fields": {
+ "urls": null
+ },
+ "output_types": ["Record"],
+ "field_formatters": {},
+ "frozen": false,
+ "field_order": [],
+ "beta": false
+ },
+ "id": "URL-HYPkR"
+ },
+ "selected": false,
+ "width": 384,
+ "height": 281,
+ "positionAbsolute": {
+ "x": 568.2971412887712,
+ "y": 700.9983368007821
+ },
+ "dragging": false
+ },
+ {
+ "id": "ChatOutput-JPlxl",
+ "type": "genericNode",
+ "position": {
+ "x": 2503.8617424688505,
+ "y": 789.3005578928434
+ },
+ "data": {
+ "type": "ChatOutput",
+ "node": {
+ "template": {
+ "code": {
+ "type": "code",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n record_template: Optional[str] = \"{text}\",\n ) -> Union[Text, Record]:\n return super().build_with_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n record_template=record_template or \"\",\n )\n",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "code",
+ "advanced": true,
+ "dynamic": true,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "input_value": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "input_value",
+ "display_name": "Message",
+ "advanced": false,
+ "input_types": ["Text"],
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "record_template": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "{text}",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "record_template",
+ "display_name": "Record Template",
+ "advanced": true,
+ "dynamic": false,
+ "info": "In case of Message being a Record, this template will be used to convert it to text.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "return_record": {
+ "type": "bool",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "return_record",
+ "display_name": "Return Record",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Return the message as a record containing the sender, sender_name, and session_id.",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "sender": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": true,
+ "show": true,
+ "multiline": false,
+ "value": "Machine",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "options": ["Machine", "User"],
+ "name": "sender",
+ "display_name": "Sender Type",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "sender_name": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": "AI",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "sender_name",
+ "display_name": "Sender Name",
+ "advanced": false,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "session_id": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "session_id",
+ "display_name": "Session ID",
+ "advanced": true,
+ "dynamic": false,
+ "info": "If provided, the message will be stored in the memory.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "_type": "CustomComponent"
+ },
+ "description": "Display a chat message in the Playground.",
+ "icon": "ChatOutput",
+ "base_classes": ["Text", "Record", "object", "str"],
+ "display_name": "Chat Output",
+ "documentation": "",
+ "custom_fields": {
+ "sender": null,
+ "sender_name": null,
+ "input_value": null,
+ "session_id": null,
+ "return_record": null,
+ "record_template": null
+ },
+ "output_types": ["Text", "Record"],
+ "field_formatters": {},
+ "frozen": false,
+ "field_order": [],
+ "beta": false
+ },
+ "id": "ChatOutput-JPlxl"
+ },
+ "selected": false,
+ "width": 384,
+ "height": 383
+ },
+ {
+ "id": "OpenAIModel-gi29P",
+ "type": "genericNode",
+ "position": {
+ "x": 1917.7089968570963,
+ "y": 575.9186499244129
+ },
+ "data": {
+ "type": "OpenAIModel",
+ "node": {
+ "template": {
+ "input_value": {
+ "type": "str",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "input_value",
+ "display_name": "Input",
+ "advanced": false,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "code": {
+ "type": "code",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\"},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n \"info\": \"The maximum number of tokens to generate. Set to 0 for unlimited tokens.\",\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": MODEL_NAMES,\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float = 0.1,\n model_name: str = \"gpt-4o\",\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens or None,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "code",
+ "advanced": true,
+ "dynamic": true,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "max_tokens": {
+ "type": "int",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": "1024",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "max_tokens",
+ "display_name": "Max Tokens",
+ "advanced": true,
+ "dynamic": false,
+ "info": "The maximum number of tokens to generate. Set to 0 for unlimited tokens.",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "model_kwargs": {
+ "type": "NestedDict",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": {},
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "model_kwargs",
+ "display_name": "Model Kwargs",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "model_name": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": true,
+ "show": true,
+ "multiline": false,
+ "value": "gpt-3.5-turbo-0125",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "options": [
+ "gpt-4o",
+ "gpt-4-turbo",
+ "gpt-4-turbo-preview",
+ "gpt-3.5-turbo",
+ "gpt-3.5-turbo-0125"
+ ],
+ "name": "model_name",
+ "display_name": "Model Name",
+ "advanced": false,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "openai_api_base": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "openai_api_base",
+ "display_name": "OpenAI API Base",
+ "advanced": true,
+ "dynamic": false,
+ "info": "The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\n\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "openai_api_key": {
+ "type": "str",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": true,
+ "name": "openai_api_key",
+ "display_name": "OpenAI API Key",
+ "advanced": false,
+ "dynamic": false,
+ "info": "The OpenAI API Key to use for the OpenAI model.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"],
+ "value": "OPENAI_API_KEY"
+ },
+ "stream": {
+ "type": "bool",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": true,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "stream",
+ "display_name": "Stream",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Stream the response from the model. Streaming works only in Chat.",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "system_message": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "system_message",
+ "display_name": "System Message",
+ "advanced": true,
+ "dynamic": false,
+ "info": "System message to pass to the model.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "temperature": {
+ "type": "float",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": "0.1",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "temperature",
+ "display_name": "Temperature",
+ "advanced": false,
+ "dynamic": false,
+ "info": "",
+ "rangeSpec": {
+ "step_type": "float",
+ "min": -1,
+ "max": 1,
+ "step": 0.1
+ },
+ "load_from_db": false,
+ "title_case": false
+ },
+ "_type": "CustomComponent"
+ },
+ "description": "Generates text using OpenAI LLMs.",
+ "icon": "OpenAI",
+ "base_classes": ["str", "Text", "object"],
+ "display_name": "OpenAI",
+ "documentation": "",
+ "custom_fields": {
+ "input_value": null,
+ "openai_api_key": null,
+ "temperature": null,
+ "model_name": null,
+ "max_tokens": null,
+ "model_kwargs": null,
+ "openai_api_base": null,
+ "stream": null,
+ "system_message": null
+ },
+ "output_types": ["Text"],
+ "field_formatters": {},
+ "frozen": false,
+ "field_order": [
+ "max_tokens",
+ "model_kwargs",
+ "model_name",
+ "openai_api_base",
+ "openai_api_key",
+ "temperature",
+ "input_value",
+ "system_message",
+ "stream"
+ ],
+ "beta": false
+ },
+ "id": "OpenAIModel-gi29P"
+ },
+ "selected": false,
+ "width": 384,
+ "height": 563,
+ "positionAbsolute": {
+ "x": 1917.7089968570963,
+ "y": 575.9186499244129
+ },
+ "dragging": false
+ },
+ {
+ "id": "URL-2cX90",
+ "type": "genericNode",
+ "position": {
+ "x": 573.961301764604,
+ "y": 336.41463436122086
+ },
+ "data": {
+ "type": "URL",
+ "node": {
+ "template": {
+ "code": {
+ "type": "code",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "from typing import Any, Dict\n\nfrom langchain_community.document_loaders.web_base import WebBaseLoader\n\nfrom langflow.custom import CustomComponent\nfrom langflow.schema import Record\n\n\nclass URLComponent(CustomComponent):\n display_name = \"URL\"\n description = \"Fetch content from one or more URLs.\"\n icon = \"layout-template\"\n\n def build_config(self) -> Dict[str, Any]:\n return {\n \"urls\": {\"display_name\": \"URL\"},\n }\n\n def build(\n self,\n urls: list[str],\n ) -> list[Record]:\n loader = WebBaseLoader(web_paths=urls)\n docs = loader.load()\n records = self.to_records(docs)\n self.status = records\n return records\n",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "code",
+ "advanced": true,
+ "dynamic": true,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "urls": {
+ "type": "str",
+ "required": true,
+ "placeholder": "",
+ "list": true,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "urls",
+ "display_name": "URL",
+ "advanced": false,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"],
+ "value": ["https://www.promptingguide.ai/introduction/basics"]
+ },
+ "_type": "CustomComponent"
+ },
+ "description": "Fetch content from one or more URLs.",
+ "icon": "layout-template",
+ "base_classes": ["Record"],
+ "display_name": "URL",
+ "documentation": "",
+ "custom_fields": {
+ "urls": null
+ },
+ "output_types": ["Record"],
+ "field_formatters": {},
+ "frozen": false,
+ "field_order": [],
+ "beta": false
+ },
+ "id": "URL-2cX90"
+ },
+ "selected": false,
+ "width": 384,
+ "height": 281,
+ "positionAbsolute": {
+ "x": 573.961301764604,
+ "y": 336.41463436122086
+ },
+ "dragging": false
+ },
+ {
+ "id": "TextInput-og8Or",
+ "type": "genericNode",
+ "position": {
+ "x": 569.9387927203336,
+ "y": 1095.3352160671316
+ },
+ "data": {
+ "type": "TextInput",
+ "node": {
+ "template": {
+ "code": {
+ "type": "code",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "from typing import Optional\n\nfrom langflow.base.io.text import TextComponent\nfrom langflow.field_typing import Text\n\n\nclass TextInput(TextComponent):\n display_name = \"Text Input\"\n description = \"Get text inputs from the Playground.\"\n icon = \"type\"\n\n def build_config(self):\n return {\n \"input_value\": {\n \"display_name\": \"Value\",\n \"input_types\": [\"Record\", \"Text\"],\n \"info\": \"Text or Record to be passed as input.\",\n },\n \"record_template\": {\n \"display_name\": \"Record Template\",\n \"multiline\": True,\n \"info\": \"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Optional[str] = \"\",\n record_template: Optional[str] = \"\",\n ) -> Text:\n return super().build(input_value=input_value, record_template=record_template)\n",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "code",
+ "advanced": true,
+ "dynamic": true,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "input_value": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": "Use the references above for style to write a new blog/tutorial about prompt engineering techniques. Suggest non-covered topics.",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "input_value",
+ "display_name": "Value",
+ "advanced": false,
+ "input_types": ["Record", "Text"],
+ "dynamic": false,
+ "info": "Text or Record to be passed as input.",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "record_template": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "record_template",
+ "display_name": "Record Template",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "_type": "CustomComponent"
+ },
+ "description": "Get text inputs from the Playground.",
+ "icon": "type",
+ "base_classes": ["object", "Text", "str"],
+ "display_name": "Instructions",
+ "documentation": "",
+ "custom_fields": {
+ "input_value": null,
+ "record_template": null
+ },
+ "output_types": ["Text"],
+ "field_formatters": {},
+ "frozen": false,
+ "field_order": [],
+ "beta": false
+ },
+ "id": "TextInput-og8Or"
+ },
+ "selected": false,
+ "width": 384,
+ "height": 289,
+ "positionAbsolute": {
+ "x": 569.9387927203336,
+ "y": 1095.3352160671316
+ },
+ "dragging": false
+ }
+ ],
+ "edges": [
+ {
+ "source": "URL-HYPkR",
+ "target": "Prompt-Rse03",
+ "sourceHandle": "{œbaseClassesœ:[œRecordœ],œdataTypeœ:œURLœ,œidœ:œURL-HYPkRœ}",
+ "targetHandle": "{œfieldNameœ:œreference_2œ,œidœ:œPrompt-Rse03œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}",
+ "id": "reactflow__edge-URL-HYPkR{œbaseClassesœ:[œRecordœ],œdataTypeœ:œURLœ,œidœ:œURL-HYPkRœ}-Prompt-Rse03{œfieldNameœ:œreference_2œ,œidœ:œPrompt-Rse03œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}",
+ "data": {
+ "targetHandle": {
+ "fieldName": "reference_2",
+ "id": "Prompt-Rse03",
+ "inputTypes": ["Document", "BaseOutputParser", "Record", "Text"],
+ "type": "str"
+ },
+ "sourceHandle": {
+ "baseClasses": ["Record"],
+ "dataType": "URL",
+ "id": "URL-HYPkR"
+ }
+ },
+ "style": {
+ "stroke": "#555"
+ },
+ "className": "stroke-gray-900 stroke-connection",
+ "selected": false
+ },
+ {
+ "source": "OpenAIModel-gi29P",
+ "sourceHandle": "{œbaseClassesœ:[œstrœ,œTextœ,œobjectœ],œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-gi29Pœ}",
+ "target": "ChatOutput-JPlxl",
+ "targetHandle": "{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-JPlxlœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}",
+ "data": {
+ "targetHandle": {
+ "fieldName": "input_value",
+ "id": "ChatOutput-JPlxl",
+ "inputTypes": ["Text"],
+ "type": "str"
+ },
+ "sourceHandle": {
+ "baseClasses": ["str", "Text", "object"],
+ "dataType": "OpenAIModel",
+ "id": "OpenAIModel-gi29P"
+ }
+ },
+ "style": {
+ "stroke": "#555"
+ },
+ "className": "stroke-gray-900 stroke-connection",
+ "id": "reactflow__edge-OpenAIModel-gi29P{œbaseClassesœ:[œstrœ,œTextœ,œobjectœ],œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-gi29Pœ}-ChatOutput-JPlxl{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-JPlxlœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}"
+ },
+ {
+ "source": "URL-2cX90",
+ "sourceHandle": "{œbaseClassesœ:[œRecordœ],œdataTypeœ:œURLœ,œidœ:œURL-2cX90œ}",
+ "target": "Prompt-Rse03",
+ "targetHandle": "{œfieldNameœ:œreference_1œ,œidœ:œPrompt-Rse03œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}",
+ "data": {
+ "targetHandle": {
+ "fieldName": "reference_1",
+ "id": "Prompt-Rse03",
+ "inputTypes": ["Document", "BaseOutputParser", "Record", "Text"],
+ "type": "str"
+ },
+ "sourceHandle": {
+ "baseClasses": ["Record"],
+ "dataType": "URL",
+ "id": "URL-2cX90"
+ }
+ },
+ "style": {
+ "stroke": "#555"
+ },
+ "className": "stroke-gray-900 stroke-connection",
+ "id": "reactflow__edge-URL-2cX90{œbaseClassesœ:[œRecordœ],œdataTypeœ:œURLœ,œidœ:œURL-2cX90œ}-Prompt-Rse03{œfieldNameœ:œreference_1œ,œidœ:œPrompt-Rse03œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}"
+ },
+ {
+ "source": "TextInput-og8Or",
+ "sourceHandle": "{œbaseClassesœ:[œobjectœ,œTextœ,œstrœ],œdataTypeœ:œTextInputœ,œidœ:œTextInput-og8Orœ}",
+ "target": "Prompt-Rse03",
+ "targetHandle": "{œfieldNameœ:œinstructionsœ,œidœ:œPrompt-Rse03œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}",
+ "data": {
+ "targetHandle": {
+ "fieldName": "instructions",
+ "id": "Prompt-Rse03",
+ "inputTypes": ["Document", "BaseOutputParser", "Record", "Text"],
+ "type": "str"
+ },
+ "sourceHandle": {
+ "baseClasses": ["object", "Text", "str"],
+ "dataType": "TextInput",
+ "id": "TextInput-og8Or"
+ }
+ },
+ "style": {
+ "stroke": "#555"
+ },
+ "className": "stroke-gray-900 stroke-connection",
+ "id": "reactflow__edge-TextInput-og8Or{œbaseClassesœ:[œobjectœ,œTextœ,œstrœ],œdataTypeœ:œTextInputœ,œidœ:œTextInput-og8Orœ}-Prompt-Rse03{œfieldNameœ:œinstructionsœ,œidœ:œPrompt-Rse03œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}"
+ },
+ {
+ "source": "Prompt-Rse03",
+ "sourceHandle": "{œbaseClassesœ:[œobjectœ,œTextœ,œstrœ],œdataTypeœ:œPromptœ,œidœ:œPrompt-Rse03œ}",
+ "target": "OpenAIModel-gi29P",
+ "targetHandle": "{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-gi29Pœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}",
+ "data": {
+ "targetHandle": {
+ "fieldName": "input_value",
+ "id": "OpenAIModel-gi29P",
+ "inputTypes": ["Text"],
+ "type": "str"
+ },
+ "sourceHandle": {
+ "baseClasses": ["object", "Text", "str"],
+ "dataType": "Prompt",
+ "id": "Prompt-Rse03"
+ }
+ },
+ "style": {
+ "stroke": "#555"
+ },
+ "className": "stroke-gray-900 stroke-connection",
+ "id": "reactflow__edge-Prompt-Rse03{œbaseClassesœ:[œobjectœ,œTextœ,œstrœ],œdataTypeœ:œPromptœ,œidœ:œPrompt-Rse03œ}-OpenAIModel-gi29P{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-gi29Pœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}",
+ "selected": false
+ }
+ ],
+ "viewport": {
+ "x": -214.14726025721177,
+ "y": -35.83855793844168,
+ "zoom": 0.47344308394045925
+ }
+ },
+ "description": "This flow can be used to create a blog post following instructions from the user, using two other blogs as reference.",
+ "name": "Blog Writer",
+ "last_tested_version": "1.0.0a0",
+ "is_component": false
}
diff --git a/src/backend/base/langflow/initial_setup/starter_projects/Langflow Document QA.json b/src/backend/base/langflow/initial_setup/starter_projects/Langflow Document QA.json
index b7228b9e7..5fa8547a1 100644
--- a/src/backend/base/langflow/initial_setup/starter_projects/Langflow Document QA.json
+++ b/src/backend/base/langflow/initial_setup/starter_projects/Langflow Document QA.json
@@ -1,1029 +1,933 @@
{
- "id": "fecbce42-6f11-454c-8ab2-db6eddbbbb0f",
- "data": {
- "nodes": [
- {
- "id": "Prompt-tHwPf",
- "type": "genericNode",
- "position": {
- "x": 585.7906101139403,
- "y": 117.52115876762832
- },
- "data": {
- "type": "Prompt",
- "node": {
- "template": {
- "code": {
- "type": "code",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "from langchain_core.prompts import PromptTemplate\n\nfrom langflow.custom import CustomComponent\nfrom langflow.field_typing import Prompt, TemplateField, Text\n\n\nclass PromptComponent(CustomComponent):\n display_name: str = \"Prompt\"\n description: str = \"Create a prompt template with dynamic variables.\"\n icon = \"prompts\"\n\n def build_config(self):\n return {\n \"template\": TemplateField(display_name=\"Template\"),\n \"code\": TemplateField(advanced=True),\n }\n\n def build(\n self,\n template: Prompt,\n **kwargs,\n ) -> Text:\n from langflow.base.prompts.utils import dict_values_to_string\n\n prompt_template = PromptTemplate.from_template(Text(template))\n kwargs = dict_values_to_string(kwargs)\n kwargs = {k: \"\\n\".join(v) if isinstance(v, list) else v for k, v in kwargs.items()}\n try:\n formated_prompt = prompt_template.format(**kwargs)\n except Exception as exc:\n raise ValueError(f\"Error formatting prompt: {exc}\") from exc\n self.status = f'Prompt:\\n\"{formated_prompt}\"'\n return formated_prompt\n",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "code",
- "advanced": true,
- "dynamic": true,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "template": {
- "type": "prompt",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": "Answer user's questions based on the document below:\n\n---\n\n{Document}\n\n---\n\nQuestion:\n{Question}\n\nAnswer:\n",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "template",
- "display_name": "Template",
- "advanced": false,
- "input_types": [
- "Text"
- ],
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "_type": "CustomComponent",
- "Document": {
- "field_type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "Document",
- "display_name": "Document",
- "advanced": false,
- "input_types": [
- "Document",
- "BaseOutputParser",
- "Record",
- "Text"
- ],
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "type": "str"
- },
- "Question": {
- "field_type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "Question",
- "display_name": "Question",
- "advanced": false,
- "input_types": [
- "Document",
- "BaseOutputParser",
- "Record",
- "Text"
- ],
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "type": "str"
- }
- },
- "description": "Create a prompt template with dynamic variables.",
- "icon": "prompts",
- "is_input": null,
- "is_output": null,
- "is_composition": null,
- "base_classes": [
- "object",
- "str",
- "Text"
- ],
- "name": "",
- "display_name": "Prompt",
- "documentation": "",
- "custom_fields": {
- "template": [
- "Document",
- "Question"
- ]
- },
- "output_types": [
- "Text"
- ],
- "full_path": null,
- "field_formatters": {},
- "frozen": false,
- "field_order": [],
- "beta": false,
- "error": null
- },
- "id": "Prompt-tHwPf",
- "description": "A component for creating prompt templates using dynamic variables.",
- "display_name": "Prompt"
- },
- "selected": false,
- "width": 384,
- "height": 479,
- "positionAbsolute": {
- "x": 585.7906101139403,
- "y": 117.52115876762832
- },
- "dragging": false
+ "id": "fecbce42-6f11-454c-8ab2-db6eddbbbb0f",
+ "data": {
+ "nodes": [
+ {
+ "id": "Prompt-tHwPf",
+ "type": "genericNode",
+ "position": {
+ "x": 585.7906101139403,
+ "y": 117.52115876762832
+ },
+ "data": {
+ "type": "Prompt",
+ "node": {
+ "template": {
+ "code": {
+ "type": "code",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "from langchain_core.prompts import PromptTemplate\n\nfrom langflow.custom import CustomComponent\nfrom langflow.field_typing import Prompt, TemplateField, Text\n\n\nclass PromptComponent(CustomComponent):\n display_name: str = \"Prompt\"\n description: str = \"Create a prompt template with dynamic variables.\"\n icon = \"prompts\"\n\n def build_config(self):\n return {\n \"template\": TemplateField(display_name=\"Template\"),\n \"code\": TemplateField(advanced=True),\n }\n\n def build(\n self,\n template: Prompt,\n **kwargs,\n ) -> Text:\n from langflow.base.prompts.utils import dict_values_to_string\n\n prompt_template = PromptTemplate.from_template(Text(template))\n kwargs = dict_values_to_string(kwargs)\n kwargs = {k: \"\\n\".join(v) if isinstance(v, list) else v for k, v in kwargs.items()}\n try:\n formated_prompt = prompt_template.format(**kwargs)\n except Exception as exc:\n raise ValueError(f\"Error formatting prompt: {exc}\") from exc\n self.status = f'Prompt:\\n\"{formated_prompt}\"'\n return formated_prompt\n",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "code",
+ "advanced": true,
+ "dynamic": true,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "template": {
+ "type": "prompt",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": "Answer user's questions based on the document below:\n\n---\n\n{Document}\n\n---\n\nQuestion:\n{Question}\n\nAnswer:\n",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "template",
+ "display_name": "Template",
+ "advanced": false,
+ "input_types": ["Text"],
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "_type": "CustomComponent",
+ "Document": {
+ "field_type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "Document",
+ "display_name": "Document",
+ "advanced": false,
+ "input_types": [
+ "Document",
+ "BaseOutputParser",
+ "Record",
+ "Text"
+ ],
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "type": "str"
+ },
+ "Question": {
+ "field_type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "Question",
+ "display_name": "Question",
+ "advanced": false,
+ "input_types": [
+ "Document",
+ "BaseOutputParser",
+ "Record",
+ "Text"
+ ],
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "type": "str"
+ }
},
- {
- "id": "File-6TEsD",
- "type": "genericNode",
- "position": {
- "x": -18.636536329280602,
- "y": 3.951948774836353
- },
- "data": {
- "type": "File",
- "node": {
- "template": {
- "path": {
- "type": "file",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [
- ".txt",
- ".md",
- ".mdx",
- ".csv",
- ".json",
- ".yaml",
- ".yml",
- ".xml",
- ".html",
- ".htm",
- ".pdf",
- ".docx"
- ],
- "password": false,
- "name": "path",
- "display_name": "Path",
- "advanced": false,
- "dynamic": false,
- "info": "Supported file types: txt, md, mdx, csv, json, yaml, yml, xml, html, htm, pdf, docx",
- "load_from_db": false,
- "title_case": false,
- "value": ""
- },
- "code": {
- "type": "code",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "from pathlib import Path\nfrom typing import Any, Dict\n\nfrom langflow.base.data.utils import TEXT_FILE_TYPES, parse_text_file_to_record\nfrom langflow.interface.custom.custom_component import CustomComponent\nfrom langflow.schema import Record\n\n\nclass FileComponent(CustomComponent):\n display_name = \"Files\"\n description = \"A generic file loader.\"\n\n def build_config(self) -> Dict[str, Any]:\n return {\n \"path\": {\n \"display_name\": \"Path\",\n \"field_type\": \"file\",\n \"file_types\": TEXT_FILE_TYPES,\n \"info\": f\"Supported file types: {', '.join(TEXT_FILE_TYPES)}\",\n },\n \"silent_errors\": {\n \"display_name\": \"Silent Errors\",\n \"advanced\": True,\n \"info\": \"If true, errors will not raise an exception.\",\n },\n }\n\n def load_file(self, path: str, silent_errors: bool = False) -> Record:\n resolved_path = self.resolve_path(path)\n path_obj = Path(resolved_path)\n extension = path_obj.suffix[1:].lower()\n if extension == \"doc\":\n raise ValueError(\"doc files are not supported. Please save as .docx\")\n if extension not in TEXT_FILE_TYPES:\n raise ValueError(f\"Unsupported file type: {extension}\")\n record = parse_text_file_to_record(resolved_path, silent_errors)\n self.status = record if record else \"No data\"\n return record or Record()\n\n def build(\n self,\n path: str,\n silent_errors: bool = False,\n ) -> Record:\n record = self.load_file(path, silent_errors)\n self.status = record\n return record\n",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "code",
- "advanced": true,
- "dynamic": true,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "silent_errors": {
- "type": "bool",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "silent_errors",
- "display_name": "Silent Errors",
- "advanced": true,
- "dynamic": false,
- "info": "If true, errors will not raise an exception.",
- "load_from_db": false,
- "title_case": false
- },
- "_type": "CustomComponent"
- },
- "description": "A generic file loader.",
- "base_classes": [
- "Record"
- ],
- "display_name": "Files",
- "documentation": "",
- "custom_fields": {
- "path": null,
- "silent_errors": null
- },
- "output_types": [
- "Record"
- ],
- "field_formatters": {},
- "frozen": false,
- "field_order": [],
- "beta": false
- },
- "id": "File-6TEsD"
- },
- "selected": false,
- "width": 384,
- "height": 282,
- "positionAbsolute": {
- "x": -18.636536329280602,
- "y": 3.951948774836353
- },
- "dragging": false
+ "description": "Create a prompt template with dynamic variables.",
+ "icon": "prompts",
+ "is_input": null,
+ "is_output": null,
+ "is_composition": null,
+ "base_classes": ["object", "str", "Text"],
+ "name": "",
+ "display_name": "Prompt",
+ "documentation": "",
+ "custom_fields": {
+ "template": ["Document", "Question"]
},
- {
- "id": "ChatInput-MsSJ9",
- "type": "genericNode",
- "position": {
- "x": -28.80036300619821,
- "y": 379.81180230285355
- },
- "data": {
- "type": "ChatInput",
- "node": {
- "template": {
- "code": {
- "type": "code",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n icon = \"ChatInput\"\n\n def build_config(self):\n build_config = super().build_config()\n build_config[\"input_value\"] = {\n \"input_types\": [],\n \"display_name\": \"Message\",\n \"multiline\": True,\n }\n\n return build_config\n\n def build(\n self,\n sender: Optional[str] = \"User\",\n sender_name: Optional[str] = \"User\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n ) -> Union[Text, Record]:\n return super().build_no_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n )\n",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "code",
- "advanced": true,
- "dynamic": true,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "input_value": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "input_value",
- "display_name": "Message",
- "advanced": false,
- "input_types": [],
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "value": ""
- },
- "return_record": {
- "type": "bool",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "return_record",
- "display_name": "Return Record",
- "advanced": true,
- "dynamic": false,
- "info": "Return the message as a record containing the sender, sender_name, and session_id.",
- "load_from_db": false,
- "title_case": false
- },
- "sender": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": true,
- "show": true,
- "multiline": false,
- "value": "User",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "options": [
- "Machine",
- "User"
- ],
- "name": "sender",
- "display_name": "Sender Type",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "sender_name": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": "User",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "sender_name",
- "display_name": "Sender Name",
- "advanced": false,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "session_id": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "session_id",
- "display_name": "Session ID",
- "advanced": true,
- "dynamic": false,
- "info": "If provided, the message will be stored in the memory.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "_type": "CustomComponent"
- },
- "description": "Get chat inputs from the Playground.",
- "icon": "ChatInput",
- "base_classes": [
- "str",
- "Record",
- "Text",
- "object"
- ],
- "display_name": "Chat Input",
- "documentation": "",
- "custom_fields": {
- "sender": null,
- "sender_name": null,
- "input_value": null,
- "session_id": null,
- "return_record": null
- },
- "output_types": [
- "Text",
- "Record"
- ],
- "field_formatters": {},
- "frozen": false,
- "field_order": [],
- "beta": false
- },
- "id": "ChatInput-MsSJ9"
- },
- "selected": true,
- "width": 384,
- "height": 377,
- "positionAbsolute": {
- "x": -28.80036300619821,
- "y": 379.81180230285355
- },
- "dragging": false
+ "output_types": ["Text"],
+ "full_path": null,
+ "field_formatters": {},
+ "frozen": false,
+ "field_order": [],
+ "beta": false,
+ "error": null
+ },
+ "id": "Prompt-tHwPf",
+ "description": "A component for creating prompt templates using dynamic variables.",
+ "display_name": "Prompt"
+ },
+ "selected": false,
+ "width": 384,
+ "height": 479,
+ "positionAbsolute": {
+ "x": 585.7906101139403,
+ "y": 117.52115876762832
+ },
+ "dragging": false
+ },
+ {
+ "id": "File-6TEsD",
+ "type": "genericNode",
+ "position": {
+ "x": -18.636536329280602,
+ "y": 3.951948774836353
+ },
+ "data": {
+ "type": "File",
+ "node": {
+ "template": {
+ "path": {
+ "type": "file",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [
+ ".txt",
+ ".md",
+ ".mdx",
+ ".csv",
+ ".json",
+ ".yaml",
+ ".yml",
+ ".xml",
+ ".html",
+ ".htm",
+ ".pdf",
+ ".docx"
+ ],
+ "password": false,
+ "name": "path",
+ "display_name": "Path",
+ "advanced": false,
+ "dynamic": false,
+ "info": "Supported file types: txt, md, mdx, csv, json, yaml, yml, xml, html, htm, pdf, docx",
+ "load_from_db": false,
+ "title_case": false,
+ "value": ""
+ },
+ "code": {
+ "type": "code",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "from pathlib import Path\nfrom typing import Any, Dict\n\nfrom langflow.base.data.utils import TEXT_FILE_TYPES, parse_text_file_to_record\nfrom langflow.interface.custom.custom_component import CustomComponent\nfrom langflow.schema import Record\n\n\nclass FileComponent(CustomComponent):\n display_name = \"Files\"\n description = \"A generic file loader.\"\n\n def build_config(self) -> Dict[str, Any]:\n return {\n \"path\": {\n \"display_name\": \"Path\",\n \"field_type\": \"file\",\n \"file_types\": TEXT_FILE_TYPES,\n \"info\": f\"Supported file types: {', '.join(TEXT_FILE_TYPES)}\",\n },\n \"silent_errors\": {\n \"display_name\": \"Silent Errors\",\n \"advanced\": True,\n \"info\": \"If true, errors will not raise an exception.\",\n },\n }\n\n def load_file(self, path: str, silent_errors: bool = False) -> Record:\n resolved_path = self.resolve_path(path)\n path_obj = Path(resolved_path)\n extension = path_obj.suffix[1:].lower()\n if extension == \"doc\":\n raise ValueError(\"doc files are not supported. Please save as .docx\")\n if extension not in TEXT_FILE_TYPES:\n raise ValueError(f\"Unsupported file type: {extension}\")\n record = parse_text_file_to_record(resolved_path, silent_errors)\n self.status = record if record else \"No data\"\n return record or Record()\n\n def build(\n self,\n path: str,\n silent_errors: bool = False,\n ) -> Record:\n record = self.load_file(path, silent_errors)\n self.status = record\n return record\n",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "code",
+ "advanced": true,
+ "dynamic": true,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "silent_errors": {
+ "type": "bool",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "silent_errors",
+ "display_name": "Silent Errors",
+ "advanced": true,
+ "dynamic": false,
+ "info": "If true, errors will not raise an exception.",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "_type": "CustomComponent"
},
- {
- "id": "ChatOutput-F5Awj",
- "type": "genericNode",
- "position": {
- "x": 1733.3012915204283,
- "y": 168.76098809939327
- },
- "data": {
- "type": "ChatOutput",
- "node": {
- "template": {
- "code": {
- "type": "code",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n record_template: Optional[str] = \"{text}\",\n ) -> Union[Text, Record]:\n return super().build_with_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n record_template=record_template or \"\",\n )\n",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "code",
- "advanced": true,
- "dynamic": true,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "input_value": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "input_value",
- "display_name": "Message",
- "advanced": false,
- "input_types": [
- "Text"
- ],
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "return_record": {
- "type": "bool",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "return_record",
- "display_name": "Return Record",
- "advanced": true,
- "dynamic": false,
- "info": "Return the message as a record containing the sender, sender_name, and session_id.",
- "load_from_db": false,
- "title_case": false
- },
- "sender": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": true,
- "show": true,
- "multiline": false,
- "value": "Machine",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "options": [
- "Machine",
- "User"
- ],
- "name": "sender",
- "display_name": "Sender Type",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "sender_name": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": "AI",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "sender_name",
- "display_name": "Sender Name",
- "advanced": false,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "session_id": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "session_id",
- "display_name": "Session ID",
- "advanced": true,
- "dynamic": false,
- "info": "If provided, the message will be stored in the memory.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "_type": "CustomComponent"
- },
- "description": "Display a chat message in the Playground.",
- "icon": "ChatOutput",
- "base_classes": [
- "str",
- "Record",
- "Text",
- "object"
- ],
- "display_name": "Chat Output",
- "documentation": "",
- "custom_fields": {
- "sender": null,
- "sender_name": null,
- "input_value": null,
- "session_id": null,
- "return_record": null
- },
- "output_types": [
- "Text",
- "Record"
- ],
- "field_formatters": {},
- "frozen": false,
- "field_order": [],
- "beta": false
- },
- "id": "ChatOutput-F5Awj"
- },
- "selected": false,
- "width": 384,
- "height": 385,
- "positionAbsolute": {
- "x": 1733.3012915204283,
- "y": 168.76098809939327
- },
- "dragging": false
+ "description": "A generic file loader.",
+ "base_classes": ["Record"],
+ "display_name": "Files",
+ "documentation": "",
+ "custom_fields": {
+ "path": null,
+ "silent_errors": null
},
- {
- "id": "OpenAIModel-Bt067",
- "type": "genericNode",
- "position": {
- "x": 1137.6078582863759,
- "y": -14.41920034020356
- },
- "data": {
- "type": "OpenAIModel",
- "node": {
- "template": {
- "input_value": {
- "type": "str",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "input_value",
- "display_name": "Input",
- "advanced": false,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "code": {
- "type": "code",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\"},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n \"info\": \"The maximum number of tokens to generate. Set to 0 for unlimited tokens.\",\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": MODEL_NAMES,\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float,\n model_name: str = \"gpt-4o\",\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens or None,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "code",
- "advanced": true,
- "dynamic": true,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "max_tokens": {
- "type": "int",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": 256,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "max_tokens",
- "display_name": "Max Tokens",
- "advanced": true,
- "dynamic": false,
- "info": "The maximum number of tokens to generate. Set to 0 for unlimited tokens.",
- "load_from_db": false,
- "title_case": false
- },
- "model_kwargs": {
- "type": "NestedDict",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": {},
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "model_kwargs",
- "display_name": "Model Kwargs",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "model_name": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": true,
- "show": true,
- "multiline": false,
- "value": "gpt-4-turbo-preview",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "options": [
- "gpt-4o",
- "gpt-4-turbo",
- "gpt-4-turbo-preview",
- "gpt-3.5-turbo",
- "gpt-3.5-turbo-0125"
- ],
- "name": "model_name",
- "display_name": "Model Name",
- "advanced": false,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "openai_api_base": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "openai_api_base",
- "display_name": "OpenAI API Base",
- "advanced": true,
- "dynamic": false,
- "info": "The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\n\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "openai_api_key": {
- "type": "str",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": true,
- "name": "openai_api_key",
- "display_name": "OpenAI API Key",
- "advanced": false,
- "dynamic": false,
- "info": "The OpenAI API Key to use for the OpenAI model.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ],
- "value": "OPENAI_API_KEY"
- },
- "stream": {
- "type": "bool",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": true,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "stream",
- "display_name": "Stream",
- "advanced": false,
- "dynamic": false,
- "info": "Stream the response from the model. Streaming works only in Chat.",
- "load_from_db": false,
- "title_case": false
- },
- "system_message": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "system_message",
- "display_name": "System Message",
- "advanced": true,
- "dynamic": false,
- "info": "System message to pass to the model.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "temperature": {
- "type": "float",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": 0.1,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "temperature",
- "display_name": "Temperature",
- "advanced": false,
- "dynamic": false,
- "info": "",
- "rangeSpec": {
- "step_type": "float",
- "min": -1,
- "max": 1,
- "step": 0.1
- },
- "load_from_db": false,
- "title_case": false
- },
- "_type": "CustomComponent"
- },
- "description": "Generates text using OpenAI LLMs.",
- "icon": "OpenAI",
- "base_classes": [
- "object",
- "str",
- "Text"
- ],
- "display_name": "OpenAI",
- "documentation": "",
- "custom_fields": {
- "input_value": null,
- "openai_api_key": null,
- "temperature": null,
- "model_name": null,
- "max_tokens": null,
- "model_kwargs": null,
- "openai_api_base": null,
- "stream": null,
- "system_message": null
- },
- "output_types": [
- "Text"
- ],
- "field_formatters": {},
- "frozen": false,
- "field_order": [
- "max_tokens",
- "model_kwargs",
- "model_name",
- "openai_api_base",
- "openai_api_key",
- "temperature",
- "input_value",
- "system_message",
- "stream"
- ],
- "beta": false
- },
- "id": "OpenAIModel-Bt067"
- },
- "selected": false,
- "width": 384,
- "height": 642,
- "positionAbsolute": {
- "x": 1137.6078582863759,
- "y": -14.41920034020356
- },
- "dragging": false
- }
- ],
- "edges": [
- {
- "source": "ChatInput-MsSJ9",
- "sourceHandle": "{\u0153baseClasses\u0153:[\u0153str\u0153,\u0153Record\u0153,\u0153Text\u0153,\u0153object\u0153],\u0153dataType\u0153:\u0153ChatInput\u0153,\u0153id\u0153:\u0153ChatInput-MsSJ9\u0153}",
- "target": "Prompt-tHwPf",
- "targetHandle": "{\u0153fieldName\u0153:\u0153Question\u0153,\u0153id\u0153:\u0153Prompt-tHwPf\u0153,\u0153inputTypes\u0153:[\u0153Document\u0153,\u0153BaseOutputParser\u0153,\u0153Record\u0153,\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}",
- "data": {
- "targetHandle": {
- "fieldName": "Question",
- "id": "Prompt-tHwPf",
- "inputTypes": [
- "Document",
- "BaseOutputParser",
- "Record",
- "Text"
- ],
- "type": "str"
- },
- "sourceHandle": {
- "baseClasses": [
- "str",
- "Record",
- "Text",
- "object"
- ],
- "dataType": "ChatInput",
- "id": "ChatInput-MsSJ9"
- }
- },
- "style": {
- "stroke": "#555"
- },
- "className": "stroke-gray-900 stroke-connection",
- "id": "reactflow__edge-ChatInput-MsSJ9{\u0153baseClasses\u0153:[\u0153str\u0153,\u0153Record\u0153,\u0153Text\u0153,\u0153object\u0153],\u0153dataType\u0153:\u0153ChatInput\u0153,\u0153id\u0153:\u0153ChatInput-MsSJ9\u0153}-Prompt-tHwPf{\u0153fieldName\u0153:\u0153Question\u0153,\u0153id\u0153:\u0153Prompt-tHwPf\u0153,\u0153inputTypes\u0153:[\u0153Document\u0153,\u0153BaseOutputParser\u0153,\u0153Record\u0153,\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}"
+ "output_types": ["Record"],
+ "field_formatters": {},
+ "frozen": false,
+ "field_order": [],
+ "beta": false
+ },
+ "id": "File-6TEsD"
+ },
+ "selected": false,
+ "width": 384,
+ "height": 282,
+ "positionAbsolute": {
+ "x": -18.636536329280602,
+ "y": 3.951948774836353
+ },
+ "dragging": false
+ },
+ {
+ "id": "ChatInput-MsSJ9",
+ "type": "genericNode",
+ "position": {
+ "x": -28.80036300619821,
+ "y": 379.81180230285355
+ },
+ "data": {
+ "type": "ChatInput",
+ "node": {
+ "template": {
+ "code": {
+ "type": "code",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n icon = \"ChatInput\"\n\n def build_config(self):\n build_config = super().build_config()\n build_config[\"input_value\"] = {\n \"input_types\": [],\n \"display_name\": \"Message\",\n \"multiline\": True,\n }\n\n return build_config\n\n def build(\n self,\n sender: Optional[str] = \"User\",\n sender_name: Optional[str] = \"User\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n ) -> Union[Text, Record]:\n return super().build_no_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n )\n",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "code",
+ "advanced": true,
+ "dynamic": true,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "input_value": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "input_value",
+ "display_name": "Message",
+ "advanced": false,
+ "input_types": [],
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "value": ""
+ },
+ "return_record": {
+ "type": "bool",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "return_record",
+ "display_name": "Return Record",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Return the message as a record containing the sender, sender_name, and session_id.",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "sender": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": true,
+ "show": true,
+ "multiline": false,
+ "value": "User",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "options": ["Machine", "User"],
+ "name": "sender",
+ "display_name": "Sender Type",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "sender_name": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": "User",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "sender_name",
+ "display_name": "Sender Name",
+ "advanced": false,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "session_id": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "session_id",
+ "display_name": "Session ID",
+ "advanced": true,
+ "dynamic": false,
+ "info": "If provided, the message will be stored in the memory.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "_type": "CustomComponent"
},
- {
- "source": "File-6TEsD",
- "sourceHandle": "{\u0153baseClasses\u0153:[\u0153Record\u0153],\u0153dataType\u0153:\u0153File\u0153,\u0153id\u0153:\u0153File-6TEsD\u0153}",
- "target": "Prompt-tHwPf",
- "targetHandle": "{\u0153fieldName\u0153:\u0153Document\u0153,\u0153id\u0153:\u0153Prompt-tHwPf\u0153,\u0153inputTypes\u0153:[\u0153Document\u0153,\u0153BaseOutputParser\u0153,\u0153Record\u0153,\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}",
- "data": {
- "targetHandle": {
- "fieldName": "Document",
- "id": "Prompt-tHwPf",
- "inputTypes": [
- "Document",
- "BaseOutputParser",
- "Record",
- "Text"
- ],
- "type": "str"
- },
- "sourceHandle": {
- "baseClasses": [
- "Record"
- ],
- "dataType": "File",
- "id": "File-6TEsD"
- }
- },
- "style": {
- "stroke": "#555"
- },
- "className": "stroke-gray-900 stroke-connection",
- "id": "reactflow__edge-File-6TEsD{\u0153baseClasses\u0153:[\u0153Record\u0153],\u0153dataType\u0153:\u0153File\u0153,\u0153id\u0153:\u0153File-6TEsD\u0153}-Prompt-tHwPf{\u0153fieldName\u0153:\u0153Document\u0153,\u0153id\u0153:\u0153Prompt-tHwPf\u0153,\u0153inputTypes\u0153:[\u0153Document\u0153,\u0153BaseOutputParser\u0153,\u0153Record\u0153,\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}"
+ "description": "Get chat inputs from the Playground.",
+ "icon": "ChatInput",
+ "base_classes": ["str", "Record", "Text", "object"],
+ "display_name": "Chat Input",
+ "documentation": "",
+ "custom_fields": {
+ "sender": null,
+ "sender_name": null,
+ "input_value": null,
+ "session_id": null,
+ "return_record": null
},
- {
- "source": "Prompt-tHwPf",
- "sourceHandle": "{\u0153baseClasses\u0153:[\u0153object\u0153,\u0153str\u0153,\u0153Text\u0153],\u0153dataType\u0153:\u0153Prompt\u0153,\u0153id\u0153:\u0153Prompt-tHwPf\u0153}",
- "target": "OpenAIModel-Bt067",
- "targetHandle": "{\u0153fieldName\u0153:\u0153input_value\u0153,\u0153id\u0153:\u0153OpenAIModel-Bt067\u0153,\u0153inputTypes\u0153:[\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}",
- "data": {
- "targetHandle": {
- "fieldName": "input_value",
- "id": "OpenAIModel-Bt067",
- "inputTypes": [
- "Text"
- ],
- "type": "str"
- },
- "sourceHandle": {
- "baseClasses": [
- "object",
- "str",
- "Text"
- ],
- "dataType": "Prompt",
- "id": "Prompt-tHwPf"
- }
- },
- "style": {
- "stroke": "#555"
- },
- "className": "stroke-gray-900 stroke-connection",
- "id": "reactflow__edge-Prompt-tHwPf{\u0153baseClasses\u0153:[\u0153object\u0153,\u0153str\u0153,\u0153Text\u0153],\u0153dataType\u0153:\u0153Prompt\u0153,\u0153id\u0153:\u0153Prompt-tHwPf\u0153}-OpenAIModel-Bt067{\u0153fieldName\u0153:\u0153input_value\u0153,\u0153id\u0153:\u0153OpenAIModel-Bt067\u0153,\u0153inputTypes\u0153:[\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}"
+ "output_types": ["Text", "Record"],
+ "field_formatters": {},
+ "frozen": false,
+ "field_order": [],
+ "beta": false
+ },
+ "id": "ChatInput-MsSJ9"
+ },
+ "selected": true,
+ "width": 384,
+ "height": 377,
+ "positionAbsolute": {
+ "x": -28.80036300619821,
+ "y": 379.81180230285355
+ },
+ "dragging": false
+ },
+ {
+ "id": "ChatOutput-F5Awj",
+ "type": "genericNode",
+ "position": {
+ "x": 1733.3012915204283,
+ "y": 168.76098809939327
+ },
+ "data": {
+ "type": "ChatOutput",
+ "node": {
+ "template": {
+ "code": {
+ "type": "code",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n record_template: Optional[str] = \"{text}\",\n ) -> Union[Text, Record]:\n return super().build_with_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n record_template=record_template or \"\",\n )\n",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "code",
+ "advanced": true,
+ "dynamic": true,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "input_value": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "input_value",
+ "display_name": "Message",
+ "advanced": false,
+ "input_types": ["Text"],
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "return_record": {
+ "type": "bool",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "return_record",
+ "display_name": "Return Record",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Return the message as a record containing the sender, sender_name, and session_id.",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "sender": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": true,
+ "show": true,
+ "multiline": false,
+ "value": "Machine",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "options": ["Machine", "User"],
+ "name": "sender",
+ "display_name": "Sender Type",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "sender_name": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": "AI",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "sender_name",
+ "display_name": "Sender Name",
+ "advanced": false,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "session_id": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "session_id",
+ "display_name": "Session ID",
+ "advanced": true,
+ "dynamic": false,
+ "info": "If provided, the message will be stored in the memory.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "_type": "CustomComponent"
},
- {
- "source": "OpenAIModel-Bt067",
- "sourceHandle": "{\u0153baseClasses\u0153:[\u0153object\u0153,\u0153str\u0153,\u0153Text\u0153],\u0153dataType\u0153:\u0153OpenAIModel\u0153,\u0153id\u0153:\u0153OpenAIModel-Bt067\u0153}",
- "target": "ChatOutput-F5Awj",
- "targetHandle": "{\u0153fieldName\u0153:\u0153input_value\u0153,\u0153id\u0153:\u0153ChatOutput-F5Awj\u0153,\u0153inputTypes\u0153:[\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}",
- "data": {
- "targetHandle": {
- "fieldName": "input_value",
- "id": "ChatOutput-F5Awj",
- "inputTypes": [
- "Text"
- ],
- "type": "str"
- },
- "sourceHandle": {
- "baseClasses": [
- "object",
- "str",
- "Text"
- ],
- "dataType": "OpenAIModel",
- "id": "OpenAIModel-Bt067"
- }
+ "description": "Display a chat message in the Playground.",
+ "icon": "ChatOutput",
+ "base_classes": ["str", "Record", "Text", "object"],
+ "display_name": "Chat Output",
+ "documentation": "",
+ "custom_fields": {
+ "sender": null,
+ "sender_name": null,
+ "input_value": null,
+ "session_id": null,
+ "return_record": null
+ },
+ "output_types": ["Text", "Record"],
+ "field_formatters": {},
+ "frozen": false,
+ "field_order": [],
+ "beta": false
+ },
+ "id": "ChatOutput-F5Awj"
+ },
+ "selected": false,
+ "width": 384,
+ "height": 385,
+ "positionAbsolute": {
+ "x": 1733.3012915204283,
+ "y": 168.76098809939327
+ },
+ "dragging": false
+ },
+ {
+ "id": "OpenAIModel-Bt067",
+ "type": "genericNode",
+ "position": {
+ "x": 1137.6078582863759,
+ "y": -14.41920034020356
+ },
+ "data": {
+ "type": "OpenAIModel",
+ "node": {
+ "template": {
+ "input_value": {
+ "type": "str",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "input_value",
+ "display_name": "Input",
+ "advanced": false,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "code": {
+ "type": "code",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\"},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n \"info\": \"The maximum number of tokens to generate. Set to 0 for unlimited tokens.\",\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": MODEL_NAMES,\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float = 0.1,\n model_name: str = \"gpt-4o\",\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens or None,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "code",
+ "advanced": true,
+ "dynamic": true,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "max_tokens": {
+ "type": "int",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": 256,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "max_tokens",
+ "display_name": "Max Tokens",
+ "advanced": true,
+ "dynamic": false,
+ "info": "The maximum number of tokens to generate. Set to 0 for unlimited tokens.",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "model_kwargs": {
+ "type": "NestedDict",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": {},
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "model_kwargs",
+ "display_name": "Model Kwargs",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "model_name": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": true,
+ "show": true,
+ "multiline": false,
+ "value": "gpt-4-turbo-preview",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "options": [
+ "gpt-4o",
+ "gpt-4-turbo",
+ "gpt-4-turbo-preview",
+ "gpt-3.5-turbo",
+ "gpt-3.5-turbo-0125"
+ ],
+ "name": "model_name",
+ "display_name": "Model Name",
+ "advanced": false,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "openai_api_base": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "openai_api_base",
+ "display_name": "OpenAI API Base",
+ "advanced": true,
+ "dynamic": false,
+ "info": "The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\n\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "openai_api_key": {
+ "type": "str",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": true,
+ "name": "openai_api_key",
+ "display_name": "OpenAI API Key",
+ "advanced": false,
+ "dynamic": false,
+ "info": "The OpenAI API Key to use for the OpenAI model.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"],
+ "value": "OPENAI_API_KEY"
+ },
+ "stream": {
+ "type": "bool",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": true,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "stream",
+ "display_name": "Stream",
+ "advanced": false,
+ "dynamic": false,
+ "info": "Stream the response from the model. Streaming works only in Chat.",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "system_message": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "system_message",
+ "display_name": "System Message",
+ "advanced": true,
+ "dynamic": false,
+ "info": "System message to pass to the model.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "temperature": {
+ "type": "float",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": 0.1,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "temperature",
+ "display_name": "Temperature",
+ "advanced": false,
+ "dynamic": false,
+ "info": "",
+ "rangeSpec": {
+ "step_type": "float",
+ "min": -1,
+ "max": 1,
+ "step": 0.1
},
- "style": {
- "stroke": "#555"
- },
- "className": "stroke-gray-900 stroke-connection",
- "id": "reactflow__edge-OpenAIModel-Bt067{\u0153baseClasses\u0153:[\u0153object\u0153,\u0153str\u0153,\u0153Text\u0153],\u0153dataType\u0153:\u0153OpenAIModel\u0153,\u0153id\u0153:\u0153OpenAIModel-Bt067\u0153}-ChatOutput-F5Awj{\u0153fieldName\u0153:\u0153input_value\u0153,\u0153id\u0153:\u0153ChatOutput-F5Awj\u0153,\u0153inputTypes\u0153:[\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}"
- }
- ],
- "viewport": {
- "x": 352.20899206064655,
- "y": 56.054900898593075,
- "zoom": 0.9023391400011
- }
- },
- "description": "This flow integrates PDF reading with a language model to answer document-specific questions. Ideal for small-scale texts, it facilitates direct queries with immediate insights.",
- "name": "Document QA",
- "last_tested_version": "1.0.0a0",
- "is_component": false
+ "load_from_db": false,
+ "title_case": false
+ },
+ "_type": "CustomComponent"
+ },
+ "description": "Generates text using OpenAI LLMs.",
+ "icon": "OpenAI",
+ "base_classes": ["object", "str", "Text"],
+ "display_name": "OpenAI",
+ "documentation": "",
+ "custom_fields": {
+ "input_value": null,
+ "openai_api_key": null,
+ "temperature": null,
+ "model_name": null,
+ "max_tokens": null,
+ "model_kwargs": null,
+ "openai_api_base": null,
+ "stream": null,
+ "system_message": null
+ },
+ "output_types": ["Text"],
+ "field_formatters": {},
+ "frozen": false,
+ "field_order": [
+ "max_tokens",
+ "model_kwargs",
+ "model_name",
+ "openai_api_base",
+ "openai_api_key",
+ "temperature",
+ "input_value",
+ "system_message",
+ "stream"
+ ],
+ "beta": false
+ },
+ "id": "OpenAIModel-Bt067"
+ },
+ "selected": false,
+ "width": 384,
+ "height": 642,
+ "positionAbsolute": {
+ "x": 1137.6078582863759,
+ "y": -14.41920034020356
+ },
+ "dragging": false
+ }
+ ],
+ "edges": [
+ {
+ "source": "ChatInput-MsSJ9",
+ "sourceHandle": "{œbaseClassesœ:[œstrœ,œRecordœ,œTextœ,œobjectœ],œdataTypeœ:œChatInputœ,œidœ:œChatInput-MsSJ9œ}",
+ "target": "Prompt-tHwPf",
+ "targetHandle": "{œfieldNameœ:œQuestionœ,œidœ:œPrompt-tHwPfœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}",
+ "data": {
+ "targetHandle": {
+ "fieldName": "Question",
+ "id": "Prompt-tHwPf",
+ "inputTypes": ["Document", "BaseOutputParser", "Record", "Text"],
+ "type": "str"
+ },
+ "sourceHandle": {
+ "baseClasses": ["str", "Record", "Text", "object"],
+ "dataType": "ChatInput",
+ "id": "ChatInput-MsSJ9"
+ }
+ },
+ "style": {
+ "stroke": "#555"
+ },
+ "className": "stroke-gray-900 stroke-connection",
+ "id": "reactflow__edge-ChatInput-MsSJ9{œbaseClassesœ:[œstrœ,œRecordœ,œTextœ,œobjectœ],œdataTypeœ:œChatInputœ,œidœ:œChatInput-MsSJ9œ}-Prompt-tHwPf{œfieldNameœ:œQuestionœ,œidœ:œPrompt-tHwPfœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}"
+ },
+ {
+ "source": "File-6TEsD",
+ "sourceHandle": "{œbaseClassesœ:[œRecordœ],œdataTypeœ:œFileœ,œidœ:œFile-6TEsDœ}",
+ "target": "Prompt-tHwPf",
+ "targetHandle": "{œfieldNameœ:œDocumentœ,œidœ:œPrompt-tHwPfœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}",
+ "data": {
+ "targetHandle": {
+ "fieldName": "Document",
+ "id": "Prompt-tHwPf",
+ "inputTypes": ["Document", "BaseOutputParser", "Record", "Text"],
+ "type": "str"
+ },
+ "sourceHandle": {
+ "baseClasses": ["Record"],
+ "dataType": "File",
+ "id": "File-6TEsD"
+ }
+ },
+ "style": {
+ "stroke": "#555"
+ },
+ "className": "stroke-gray-900 stroke-connection",
+ "id": "reactflow__edge-File-6TEsD{œbaseClassesœ:[œRecordœ],œdataTypeœ:œFileœ,œidœ:œFile-6TEsDœ}-Prompt-tHwPf{œfieldNameœ:œDocumentœ,œidœ:œPrompt-tHwPfœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}"
+ },
+ {
+ "source": "Prompt-tHwPf",
+ "sourceHandle": "{œbaseClassesœ:[œobjectœ,œstrœ,œTextœ],œdataTypeœ:œPromptœ,œidœ:œPrompt-tHwPfœ}",
+ "target": "OpenAIModel-Bt067",
+ "targetHandle": "{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-Bt067œ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}",
+ "data": {
+ "targetHandle": {
+ "fieldName": "input_value",
+ "id": "OpenAIModel-Bt067",
+ "inputTypes": ["Text"],
+ "type": "str"
+ },
+ "sourceHandle": {
+ "baseClasses": ["object", "str", "Text"],
+ "dataType": "Prompt",
+ "id": "Prompt-tHwPf"
+ }
+ },
+ "style": {
+ "stroke": "#555"
+ },
+ "className": "stroke-gray-900 stroke-connection",
+ "id": "reactflow__edge-Prompt-tHwPf{œbaseClassesœ:[œobjectœ,œstrœ,œTextœ],œdataTypeœ:œPromptœ,œidœ:œPrompt-tHwPfœ}-OpenAIModel-Bt067{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-Bt067œ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}"
+ },
+ {
+ "source": "OpenAIModel-Bt067",
+ "sourceHandle": "{œbaseClassesœ:[œobjectœ,œstrœ,œTextœ],œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-Bt067œ}",
+ "target": "ChatOutput-F5Awj",
+ "targetHandle": "{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-F5Awjœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}",
+ "data": {
+ "targetHandle": {
+ "fieldName": "input_value",
+ "id": "ChatOutput-F5Awj",
+ "inputTypes": ["Text"],
+ "type": "str"
+ },
+ "sourceHandle": {
+ "baseClasses": ["object", "str", "Text"],
+ "dataType": "OpenAIModel",
+ "id": "OpenAIModel-Bt067"
+ }
+ },
+ "style": {
+ "stroke": "#555"
+ },
+ "className": "stroke-gray-900 stroke-connection",
+ "id": "reactflow__edge-OpenAIModel-Bt067{œbaseClassesœ:[œobjectœ,œstrœ,œTextœ],œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-Bt067œ}-ChatOutput-F5Awj{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-F5Awjœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}"
+ }
+ ],
+ "viewport": {
+ "x": 352.20899206064655,
+ "y": 56.054900898593075,
+ "zoom": 0.9023391400011
+ }
+ },
+ "description": "This flow integrates PDF reading with a language model to answer document-specific questions. Ideal for small-scale texts, it facilitates direct queries with immediate insights.",
+ "name": "Document QA",
+ "last_tested_version": "1.0.0a0",
+ "is_component": false
}
diff --git a/src/backend/base/langflow/initial_setup/starter_projects/Langflow Memory Conversation.json b/src/backend/base/langflow/initial_setup/starter_projects/Langflow Memory Conversation.json
index 235af8f6f..1002b721a 100644
--- a/src/backend/base/langflow/initial_setup/starter_projects/Langflow Memory Conversation.json
+++ b/src/backend/base/langflow/initial_setup/starter_projects/Langflow Memory Conversation.json
@@ -1,1272 +1,1137 @@
{
- "id": "08d5cccf-d098-4367-b14b-1078429c9ed9",
- "icon": "\ud83e\udd16",
- "icon_bg_color": "#FFD700",
- "data": {
- "nodes": [
- {
- "id": "ChatInput-t7F8v",
- "type": "genericNode",
- "position": {
- "x": 1283.2700598313072,
- "y": 982.5953650473145
- },
- "data": {
- "type": "ChatInput",
- "node": {
- "template": {
- "code": {
- "type": "code",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n icon = \"ChatInput\"\n\n def build_config(self):\n build_config = super().build_config()\n build_config[\"input_value\"] = {\n \"input_types\": [],\n \"display_name\": \"Message\",\n \"multiline\": True,\n }\n\n return build_config\n\n def build(\n self,\n sender: Optional[str] = \"User\",\n sender_name: Optional[str] = \"User\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n ) -> Union[Text, Record]:\n return super().build_no_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n )\n",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "code",
- "advanced": true,
- "dynamic": true,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "input_value": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "input_value",
- "display_name": "Message",
- "advanced": false,
- "input_types": [],
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "value": ""
- },
- "return_record": {
- "type": "bool",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "return_record",
- "display_name": "Return Record",
- "advanced": true,
- "dynamic": false,
- "info": "Return the message as a record containing the sender, sender_name, and session_id.",
- "load_from_db": false,
- "title_case": false
- },
- "sender": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": true,
- "show": true,
- "multiline": false,
- "value": "User",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "options": [
- "Machine",
- "User"
- ],
- "name": "sender",
- "display_name": "Sender Type",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "sender_name": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": "User",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "sender_name",
- "display_name": "Sender Name",
- "advanced": false,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "session_id": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "session_id",
- "display_name": "Session ID",
- "advanced": false,
- "dynamic": false,
- "info": "If provided, the message will be stored in the memory.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ],
- "value": "MySessionID"
- },
- "_type": "CustomComponent"
- },
- "description": "Get chat inputs from the Playground.",
- "icon": "ChatInput",
- "base_classes": [
- "Text",
- "object",
- "Record",
- "str"
- ],
- "display_name": "Chat Input",
- "documentation": "",
- "custom_fields": {
- "sender": null,
- "sender_name": null,
- "input_value": null,
- "session_id": null,
- "return_record": null
- },
- "output_types": [
- "Text",
- "Record"
- ],
- "field_formatters": {},
- "frozen": false,
- "field_order": [],
- "beta": false
- },
- "id": "ChatInput-t7F8v"
- },
- "selected": false,
- "width": 384,
- "height": 469,
- "positionAbsolute": {
- "x": 1283.2700598313072,
- "y": 982.5953650473145
- },
- "dragging": false
+ "id": "08d5cccf-d098-4367-b14b-1078429c9ed9",
+ "icon": "🤖",
+ "icon_bg_color": "#FFD700",
+ "data": {
+ "nodes": [
+ {
+ "id": "ChatInput-t7F8v",
+ "type": "genericNode",
+ "position": {
+ "x": 1283.2700598313072,
+ "y": 982.5953650473145
+ },
+ "data": {
+ "type": "ChatInput",
+ "node": {
+ "template": {
+ "code": {
+ "type": "code",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n icon = \"ChatInput\"\n\n def build_config(self):\n build_config = super().build_config()\n build_config[\"input_value\"] = {\n \"input_types\": [],\n \"display_name\": \"Message\",\n \"multiline\": True,\n }\n\n return build_config\n\n def build(\n self,\n sender: Optional[str] = \"User\",\n sender_name: Optional[str] = \"User\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n ) -> Union[Text, Record]:\n return super().build_no_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n )\n",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "code",
+ "advanced": true,
+ "dynamic": true,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "input_value": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "input_value",
+ "display_name": "Message",
+ "advanced": false,
+ "input_types": [],
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "value": ""
+ },
+ "return_record": {
+ "type": "bool",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "return_record",
+ "display_name": "Return Record",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Return the message as a record containing the sender, sender_name, and session_id.",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "sender": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": true,
+ "show": true,
+ "multiline": false,
+ "value": "User",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "options": ["Machine", "User"],
+ "name": "sender",
+ "display_name": "Sender Type",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "sender_name": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": "User",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "sender_name",
+ "display_name": "Sender Name",
+ "advanced": false,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "session_id": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "session_id",
+ "display_name": "Session ID",
+ "advanced": false,
+ "dynamic": false,
+ "info": "If provided, the message will be stored in the memory.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"],
+ "value": "MySessionID"
+ },
+ "_type": "CustomComponent"
},
- {
- "id": "ChatOutput-P1jEe",
- "type": "genericNode",
- "position": {
- "x": 3154.916355514023,
- "y": 851.051882666333
- },
- "data": {
- "type": "ChatOutput",
- "node": {
- "template": {
- "code": {
- "type": "code",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n record_template: Optional[str] = \"{text}\",\n ) -> Union[Text, Record]:\n return super().build_with_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n record_template=record_template or \"\",\n )\n",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "code",
- "advanced": true,
- "dynamic": true,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "input_value": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "input_value",
- "display_name": "Message",
- "advanced": false,
- "input_types": [
- "Text"
- ],
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "return_record": {
- "type": "bool",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "return_record",
- "display_name": "Return Record",
- "advanced": true,
- "dynamic": false,
- "info": "Return the message as a record containing the sender, sender_name, and session_id.",
- "load_from_db": false,
- "title_case": false
- },
- "sender": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": true,
- "show": true,
- "multiline": false,
- "value": "Machine",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "options": [
- "Machine",
- "User"
- ],
- "name": "sender",
- "display_name": "Sender Type",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "sender_name": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": "AI",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "sender_name",
- "display_name": "Sender Name",
- "advanced": false,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "session_id": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "session_id",
- "display_name": "Session ID",
- "advanced": false,
- "dynamic": false,
- "info": "If provided, the message will be stored in the memory.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ],
- "value": "MySessionID"
- },
- "_type": "CustomComponent"
- },
- "description": "Display a chat message in the Playground.",
- "icon": "ChatOutput",
- "base_classes": [
- "Text",
- "object",
- "Record",
- "str"
- ],
- "display_name": "Chat Output",
- "documentation": "",
- "custom_fields": {
- "sender": null,
- "sender_name": null,
- "input_value": null,
- "session_id": null,
- "return_record": null
- },
- "output_types": [
- "Text",
- "Record"
- ],
- "field_formatters": {},
- "frozen": false,
- "field_order": [],
- "beta": false
- },
- "id": "ChatOutput-P1jEe"
- },
- "selected": false,
- "width": 384,
- "height": 477,
- "dragging": false,
- "positionAbsolute": {
- "x": 3154.916355514023,
- "y": 851.051882666333
- }
+ "description": "Get chat inputs from the Playground.",
+ "icon": "ChatInput",
+ "base_classes": ["Text", "object", "Record", "str"],
+ "display_name": "Chat Input",
+ "documentation": "",
+ "custom_fields": {
+ "sender": null,
+ "sender_name": null,
+ "input_value": null,
+ "session_id": null,
+ "return_record": null
},
- {
- "id": "MemoryComponent-cdA1J",
- "type": "genericNode",
- "position": {
- "x": 1289.9606870058817,
- "y": 442.16804561053766
- },
- "data": {
- "type": "MemoryComponent",
- "node": {
- "template": {
- "code": {
- "type": "code",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "from typing import Optional\n\nfrom langflow.base.memory.memory import BaseMemoryComponent\nfrom langflow.field_typing import Text\nfrom langflow.helpers.record import records_to_text\nfrom langflow.memory import get_messages\nfrom langflow.schema.schema import Record\n\n\nclass MemoryComponent(BaseMemoryComponent):\n display_name = \"Chat Memory\"\n description = \"Retrieves stored chat messages given a specific Session ID.\"\n beta: bool = True\n icon = \"history\"\n\n def build_config(self):\n return {\n \"sender\": {\n \"options\": [\"Machine\", \"User\", \"Machine and User\"],\n \"display_name\": \"Sender Type\",\n },\n \"sender_name\": {\"display_name\": \"Sender Name\", \"advanced\": True},\n \"n_messages\": {\n \"display_name\": \"Number of Messages\",\n \"info\": \"Number of messages to retrieve.\",\n },\n \"session_id\": {\n \"display_name\": \"Session ID\",\n \"info\": \"Session ID of the chat history.\",\n \"input_types\": [\"Text\"],\n },\n \"order\": {\n \"options\": [\"Ascending\", \"Descending\"],\n \"display_name\": \"Order\",\n \"info\": \"Order of the messages.\",\n \"advanced\": True,\n },\n \"record_template\": {\n \"display_name\": \"Record Template\",\n \"multiline\": True,\n \"info\": \"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n \"advanced\": True,\n },\n }\n\n def get_messages(self, **kwargs) -> list[Record]:\n # Validate kwargs by checking if it contains the correct keys\n if \"sender\" not in kwargs:\n kwargs[\"sender\"] = None\n if \"sender_name\" not in kwargs:\n kwargs[\"sender_name\"] = None\n if \"session_id\" not in kwargs:\n kwargs[\"session_id\"] = None\n if \"limit\" not in kwargs:\n kwargs[\"limit\"] = 5\n if \"order\" not in kwargs:\n kwargs[\"order\"] = \"Descending\"\n\n kwargs[\"order\"] = \"DESC\" if kwargs[\"order\"] == \"Descending\" else \"ASC\"\n if kwargs[\"sender\"] == \"Machine and User\":\n kwargs[\"sender\"] = None\n return get_messages(**kwargs)\n\n def build(\n self,\n sender: Optional[str] = \"Machine and User\",\n sender_name: Optional[str] = None,\n session_id: Optional[str] = None,\n n_messages: int = 5,\n order: Optional[str] = \"Descending\",\n record_template: Optional[str] = \"{sender_name}: {text}\",\n ) -> Text:\n messages = self.get_messages(\n sender=sender,\n sender_name=sender_name,\n session_id=session_id,\n limit=n_messages,\n order=order,\n )\n messages_str = records_to_text(template=record_template or \"\", records=messages)\n self.status = messages_str\n return messages_str\n",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "code",
- "advanced": true,
- "dynamic": true,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "n_messages": {
- "type": "int",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": 5,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "n_messages",
- "display_name": "Number of Messages",
- "advanced": false,
- "dynamic": false,
- "info": "Number of messages to retrieve.",
- "load_from_db": false,
- "title_case": false
- },
- "order": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": true,
- "show": true,
- "multiline": false,
- "value": "Descending",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "options": [
- "Ascending",
- "Descending"
- ],
- "name": "order",
- "display_name": "Order",
- "advanced": true,
- "dynamic": false,
- "info": "Order of the messages.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "record_template": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "{sender_name}: {text}",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "record_template",
- "display_name": "Record Template",
- "advanced": true,
- "dynamic": false,
- "info": "Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "sender": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": true,
- "show": true,
- "multiline": false,
- "value": "Machine and User",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "options": [
- "Machine",
- "User",
- "Machine and User"
- ],
- "name": "sender",
- "display_name": "Sender Type",
- "advanced": false,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "sender_name": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "sender_name",
- "display_name": "Sender Name",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "session_id": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "session_id",
- "display_name": "Session ID",
- "advanced": false,
- "input_types": [
- "Text"
- ],
- "dynamic": false,
- "info": "Session ID of the chat history.",
- "load_from_db": false,
- "title_case": false,
- "value": "MySessionID"
- },
- "_type": "CustomComponent"
- },
- "description": "Retrieves stored chat messages given a specific Session ID.",
- "icon": "history",
- "base_classes": [
- "str",
- "Text",
- "object"
- ],
- "display_name": "Chat Memory",
- "documentation": "",
- "custom_fields": {
- "sender": null,
- "sender_name": null,
- "session_id": null,
- "n_messages": null,
- "order": null,
- "record_template": null
- },
- "output_types": [
- "Text"
- ],
- "field_formatters": {},
- "frozen": false,
- "field_order": [],
- "beta": true
- },
- "id": "MemoryComponent-cdA1J",
- "description": "Retrieves stored chat messages given a specific Session ID.",
- "display_name": "Chat Memory"
- },
- "selected": false,
- "width": 384,
- "height": 489,
- "dragging": false,
- "positionAbsolute": {
- "x": 1289.9606870058817,
- "y": 442.16804561053766
- }
+ "output_types": ["Text", "Record"],
+ "field_formatters": {},
+ "frozen": false,
+ "field_order": [],
+ "beta": false
+ },
+ "id": "ChatInput-t7F8v"
+ },
+ "selected": false,
+ "width": 384,
+ "height": 469,
+ "positionAbsolute": {
+ "x": 1283.2700598313072,
+ "y": 982.5953650473145
+ },
+ "dragging": false
+ },
+ {
+ "id": "ChatOutput-P1jEe",
+ "type": "genericNode",
+ "position": {
+ "x": 3154.916355514023,
+ "y": 851.051882666333
+ },
+ "data": {
+ "type": "ChatOutput",
+ "node": {
+ "template": {
+ "code": {
+ "type": "code",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n record_template: Optional[str] = \"{text}\",\n ) -> Union[Text, Record]:\n return super().build_with_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n record_template=record_template or \"\",\n )\n",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "code",
+ "advanced": true,
+ "dynamic": true,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "input_value": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "input_value",
+ "display_name": "Message",
+ "advanced": false,
+ "input_types": ["Text"],
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "return_record": {
+ "type": "bool",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "return_record",
+ "display_name": "Return Record",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Return the message as a record containing the sender, sender_name, and session_id.",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "sender": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": true,
+ "show": true,
+ "multiline": false,
+ "value": "Machine",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "options": ["Machine", "User"],
+ "name": "sender",
+ "display_name": "Sender Type",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "sender_name": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": "AI",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "sender_name",
+ "display_name": "Sender Name",
+ "advanced": false,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "session_id": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "session_id",
+ "display_name": "Session ID",
+ "advanced": false,
+ "dynamic": false,
+ "info": "If provided, the message will be stored in the memory.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"],
+ "value": "MySessionID"
+ },
+ "_type": "CustomComponent"
},
- {
- "id": "Prompt-ODkUx",
- "type": "genericNode",
- "position": {
- "x": 1894.594426342426,
- "y": 753.3797365481901
- },
- "data": {
- "type": "Prompt",
- "node": {
- "template": {
- "code": {
- "type": "code",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "from langchain_core.prompts import PromptTemplate\n\nfrom langflow.custom import CustomComponent\nfrom langflow.field_typing import Prompt, TemplateField, Text\n\n\nclass PromptComponent(CustomComponent):\n display_name: str = \"Prompt\"\n description: str = \"Create a prompt template with dynamic variables.\"\n icon = \"prompts\"\n\n def build_config(self):\n return {\n \"template\": TemplateField(display_name=\"Template\"),\n \"code\": TemplateField(advanced=True),\n }\n\n def build(\n self,\n template: Prompt,\n **kwargs,\n ) -> Text:\n from langflow.base.prompts.utils import dict_values_to_string\n\n prompt_template = PromptTemplate.from_template(Text(template))\n kwargs = dict_values_to_string(kwargs)\n kwargs = {k: \"\\n\".join(v) if isinstance(v, list) else v for k, v in kwargs.items()}\n try:\n formated_prompt = prompt_template.format(**kwargs)\n except Exception as exc:\n raise ValueError(f\"Error formatting prompt: {exc}\") from exc\n self.status = f'Prompt:\\n\"{formated_prompt}\"'\n return formated_prompt\n",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "code",
- "advanced": true,
- "dynamic": true,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "template": {
- "type": "prompt",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": "{context}\n\nUser: {user_message}\nAI: ",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "template",
- "display_name": "Template",
- "advanced": false,
- "input_types": [
- "Text"
- ],
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "_type": "CustomComponent",
- "context": {
- "field_type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "context",
- "display_name": "context",
- "advanced": false,
- "input_types": [
- "Document",
- "BaseOutputParser",
- "Record",
- "Text"
- ],
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "type": "str"
- },
- "user_message": {
- "field_type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "user_message",
- "display_name": "user_message",
- "advanced": false,
- "input_types": [
- "Document",
- "BaseOutputParser",
- "Record",
- "Text"
- ],
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "type": "str"
- }
- },
- "description": "Create a prompt template with dynamic variables.",
- "icon": "prompts",
- "is_input": null,
- "is_output": null,
- "is_composition": null,
- "base_classes": [
- "Text",
- "str",
- "object"
- ],
- "name": "",
- "display_name": "Prompt",
- "documentation": "",
- "custom_fields": {
- "template": [
- "context",
- "user_message"
- ]
- },
- "output_types": [
- "Text"
- ],
- "full_path": null,
- "field_formatters": {},
- "frozen": false,
- "field_order": [],
- "beta": false,
- "error": null
- },
- "id": "Prompt-ODkUx",
- "description": "A component for creating prompt templates using dynamic variables.",
- "display_name": "Prompt"
- },
- "selected": false,
- "width": 384,
- "height": 477,
- "dragging": false,
- "positionAbsolute": {
- "x": 1894.594426342426,
- "y": 753.3797365481901
- }
+ "description": "Display a chat message in the Playground.",
+ "icon": "ChatOutput",
+ "base_classes": ["Text", "object", "Record", "str"],
+ "display_name": "Chat Output",
+ "documentation": "",
+ "custom_fields": {
+ "sender": null,
+ "sender_name": null,
+ "input_value": null,
+ "session_id": null,
+ "return_record": null
},
- {
- "id": "OpenAIModel-9RykF",
- "type": "genericNode",
- "position": {
- "x": 2561.5850334731617,
- "y": 553.2745131130916
- },
- "data": {
- "type": "OpenAIModel",
- "node": {
- "template": {
- "input_value": {
- "type": "str",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "input_value",
- "display_name": "Input",
- "advanced": false,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "code": {
- "type": "code",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\"},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n \"info\": \"The maximum number of tokens to generate. Set to 0 for unlimited tokens.\",\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": MODEL_NAMES,\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float,\n model_name: str = \"gpt-4o\",\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens or None,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "code",
- "advanced": true,
- "dynamic": true,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "max_tokens": {
- "type": "int",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": 256,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "max_tokens",
- "display_name": "Max Tokens",
- "advanced": true,
- "dynamic": false,
- "info": "The maximum number of tokens to generate. Set to 0 for unlimited tokens.",
- "load_from_db": false,
- "title_case": false
- },
- "model_kwargs": {
- "type": "NestedDict",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": {},
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "model_kwargs",
- "display_name": "Model Kwargs",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "model_name": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": true,
- "show": true,
- "multiline": false,
- "value": "gpt-4-1106-preview",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "options": [
- "gpt-4o",
- "gpt-4-turbo",
- "gpt-4-turbo-preview",
- "gpt-3.5-turbo",
- "gpt-3.5-turbo-0125"
- ],
- "name": "model_name",
- "display_name": "Model Name",
- "advanced": false,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "openai_api_base": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "openai_api_base",
- "display_name": "OpenAI API Base",
- "advanced": true,
- "dynamic": false,
- "info": "The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\n\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "openai_api_key": {
- "type": "str",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": true,
- "name": "openai_api_key",
- "display_name": "OpenAI API Key",
- "advanced": false,
- "dynamic": false,
- "info": "The OpenAI API Key to use for the OpenAI model.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ],
- "value": "OPENAI_API_KEY"
- },
- "stream": {
- "type": "bool",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "stream",
- "display_name": "Stream",
- "advanced": true,
- "dynamic": false,
- "info": "Stream the response from the model. Streaming works only in Chat.",
- "load_from_db": false,
- "title_case": false
- },
- "system_message": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "system_message",
- "display_name": "System Message",
- "advanced": true,
- "dynamic": false,
- "info": "System message to pass to the model.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "temperature": {
- "type": "float",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": "0.2",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "temperature",
- "display_name": "Temperature",
- "advanced": false,
- "dynamic": false,
- "info": "",
- "rangeSpec": {
- "step_type": "float",
- "min": -1,
- "max": 1,
- "step": 0.1
- },
- "load_from_db": false,
- "title_case": false
- },
- "_type": "CustomComponent"
- },
- "description": "Generates text using OpenAI LLMs.",
- "icon": "OpenAI",
- "base_classes": [
- "str",
- "object",
- "Text"
- ],
- "display_name": "OpenAI",
- "documentation": "",
- "custom_fields": {
- "input_value": null,
- "openai_api_key": null,
- "temperature": null,
- "model_name": null,
- "max_tokens": null,
- "model_kwargs": null,
- "openai_api_base": null,
- "stream": null,
- "system_message": null
- },
- "output_types": [
- "Text"
- ],
- "field_formatters": {},
- "frozen": false,
- "field_order": [
- "max_tokens",
- "model_kwargs",
- "model_name",
- "openai_api_base",
- "openai_api_key",
- "temperature",
- "input_value",
- "system_message",
- "stream"
- ],
- "beta": false
- },
- "id": "OpenAIModel-9RykF"
- },
- "selected": false,
- "width": 384,
- "height": 563,
- "positionAbsolute": {
- "x": 2561.5850334731617,
- "y": 553.2745131130916
- },
- "dragging": false
- },
- {
- "id": "TextOutput-vrs6T",
- "type": "genericNode",
- "position": {
- "x": 1911.4785906252087,
- "y": 247.39079954376987
- },
- "data": {
- "type": "TextOutput",
- "node": {
- "template": {
- "input_value": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": "",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "input_value",
- "display_name": "Value",
- "advanced": false,
- "input_types": [
- "Record",
- "Text"
- ],
- "dynamic": false,
- "info": "Text or Record to be passed as output.",
- "load_from_db": false,
- "title_case": false
- },
- "code": {
- "type": "code",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "from typing import Optional\n\nfrom langflow.base.io.text import TextComponent\nfrom langflow.field_typing import Text\n\n\nclass TextOutput(TextComponent):\n display_name = \"Text Output\"\n description = \"Display a text output in the Playground.\"\n icon = \"type\"\n\n def build_config(self):\n return {\n \"input_value\": {\n \"display_name\": \"Value\",\n \"input_types\": [\"Record\", \"Text\"],\n \"info\": \"Text or Record to be passed as output.\",\n },\n \"record_template\": {\n \"display_name\": \"Record Template\",\n \"multiline\": True,\n \"info\": \"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n \"advanced\": True,\n },\n }\n\n def build(self, input_value: Optional[Text] = \"\", record_template: str = \"\") -> Text:\n return super().build(input_value=input_value, record_template=record_template)\n",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "code",
- "advanced": true,
- "dynamic": true,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "record_template": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "record_template",
- "display_name": "Record Template",
- "advanced": true,
- "dynamic": false,
- "info": "Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "_type": "CustomComponent"
- },
- "description": "Display a text output in the Playground.",
- "icon": "type",
- "base_classes": [
- "str",
- "object",
- "Text"
- ],
- "display_name": "Inspect Memory",
- "documentation": "",
- "custom_fields": {
- "input_value": null,
- "record_template": null
- },
- "output_types": [
- "Text"
- ],
- "field_formatters": {},
- "frozen": false,
- "field_order": [],
- "beta": false
- },
- "id": "TextOutput-vrs6T"
- },
- "selected": false,
- "width": 384,
- "height": 289,
- "positionAbsolute": {
- "x": 1911.4785906252087,
- "y": 247.39079954376987
- },
- "dragging": false
- }
- ],
- "edges": [
- {
- "source": "MemoryComponent-cdA1J",
- "sourceHandle": "{\u0153baseClasses\u0153:[\u0153str\u0153,\u0153Text\u0153,\u0153object\u0153],\u0153dataType\u0153:\u0153MemoryComponent\u0153,\u0153id\u0153:\u0153MemoryComponent-cdA1J\u0153}",
- "target": "Prompt-ODkUx",
- "targetHandle": "{\u0153fieldName\u0153:\u0153context\u0153,\u0153id\u0153:\u0153Prompt-ODkUx\u0153,\u0153inputTypes\u0153:[\u0153Document\u0153,\u0153BaseOutputParser\u0153,\u0153Record\u0153,\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}",
- "data": {
- "targetHandle": {
- "fieldName": "context",
- "type": "str",
- "id": "Prompt-ODkUx",
- "inputTypes": [
- "Document",
- "BaseOutputParser",
- "Record",
- "Text"
- ]
- },
- "sourceHandle": {
- "baseClasses": [
- "str",
- "Text",
- "object"
- ],
- "dataType": "MemoryComponent",
- "id": "MemoryComponent-cdA1J"
- }
- },
- "style": {
- "stroke": "#555"
- },
- "className": "stroke-gray-900 stroke-connection",
- "id": "reactflow__edge-MemoryComponent-cdA1J{\u0153baseClasses\u0153:[\u0153str\u0153,\u0153Text\u0153,\u0153object\u0153],\u0153dataType\u0153:\u0153MemoryComponent\u0153,\u0153id\u0153:\u0153MemoryComponent-cdA1J\u0153}-Prompt-ODkUx{\u0153fieldName\u0153:\u0153context\u0153,\u0153id\u0153:\u0153Prompt-ODkUx\u0153,\u0153inputTypes\u0153:[\u0153Document\u0153,\u0153BaseOutputParser\u0153,\u0153Record\u0153,\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}",
- "selected": false
- },
- {
- "source": "ChatInput-t7F8v",
- "sourceHandle": "{\u0153baseClasses\u0153:[\u0153Text\u0153,\u0153object\u0153,\u0153Record\u0153,\u0153str\u0153],\u0153dataType\u0153:\u0153ChatInput\u0153,\u0153id\u0153:\u0153ChatInput-t7F8v\u0153}",
- "target": "Prompt-ODkUx",
- "targetHandle": "{\u0153fieldName\u0153:\u0153user_message\u0153,\u0153id\u0153:\u0153Prompt-ODkUx\u0153,\u0153inputTypes\u0153:[\u0153Document\u0153,\u0153BaseOutputParser\u0153,\u0153Record\u0153,\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}",
- "data": {
- "targetHandle": {
- "fieldName": "user_message",
- "type": "str",
- "id": "Prompt-ODkUx",
- "inputTypes": [
- "Document",
- "BaseOutputParser",
- "Record",
- "Text"
- ]
- },
- "sourceHandle": {
- "baseClasses": [
- "Text",
- "object",
- "Record",
- "str"
- ],
- "dataType": "ChatInput",
- "id": "ChatInput-t7F8v"
- }
- },
- "style": {
- "stroke": "#555"
- },
- "className": "stroke-gray-900 stroke-connection",
- "id": "reactflow__edge-ChatInput-t7F8v{\u0153baseClasses\u0153:[\u0153Text\u0153,\u0153object\u0153,\u0153Record\u0153,\u0153str\u0153],\u0153dataType\u0153:\u0153ChatInput\u0153,\u0153id\u0153:\u0153ChatInput-t7F8v\u0153}-Prompt-ODkUx{\u0153fieldName\u0153:\u0153user_message\u0153,\u0153id\u0153:\u0153Prompt-ODkUx\u0153,\u0153inputTypes\u0153:[\u0153Document\u0153,\u0153BaseOutputParser\u0153,\u0153Record\u0153,\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}",
- "selected": false
- },
- {
- "source": "Prompt-ODkUx",
- "sourceHandle": "{\u0153baseClasses\u0153:[\u0153Text\u0153,\u0153str\u0153,\u0153object\u0153],\u0153dataType\u0153:\u0153Prompt\u0153,\u0153id\u0153:\u0153Prompt-ODkUx\u0153}",
- "target": "OpenAIModel-9RykF",
- "targetHandle": "{\u0153fieldName\u0153:\u0153input_value\u0153,\u0153id\u0153:\u0153OpenAIModel-9RykF\u0153,\u0153inputTypes\u0153:[\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}",
- "data": {
- "targetHandle": {
- "fieldName": "input_value",
- "id": "OpenAIModel-9RykF",
- "inputTypes": [
- "Text"
- ],
- "type": "str"
- },
- "sourceHandle": {
- "baseClasses": [
- "Text",
- "str",
- "object"
- ],
- "dataType": "Prompt",
- "id": "Prompt-ODkUx"
- }
- },
- "style": {
- "stroke": "#555"
- },
- "className": "stroke-gray-900 stroke-connection",
- "id": "reactflow__edge-Prompt-ODkUx{\u0153baseClasses\u0153:[\u0153Text\u0153,\u0153str\u0153,\u0153object\u0153],\u0153dataType\u0153:\u0153Prompt\u0153,\u0153id\u0153:\u0153Prompt-ODkUx\u0153}-OpenAIModel-9RykF{\u0153fieldName\u0153:\u0153input_value\u0153,\u0153id\u0153:\u0153OpenAIModel-9RykF\u0153,\u0153inputTypes\u0153:[\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}"
- },
- {
- "source": "OpenAIModel-9RykF",
- "sourceHandle": "{\u0153baseClasses\u0153:[\u0153str\u0153,\u0153object\u0153,\u0153Text\u0153],\u0153dataType\u0153:\u0153OpenAIModel\u0153,\u0153id\u0153:\u0153OpenAIModel-9RykF\u0153}",
- "target": "ChatOutput-P1jEe",
- "targetHandle": "{\u0153fieldName\u0153:\u0153input_value\u0153,\u0153id\u0153:\u0153ChatOutput-P1jEe\u0153,\u0153inputTypes\u0153:[\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}",
- "data": {
- "targetHandle": {
- "fieldName": "input_value",
- "id": "ChatOutput-P1jEe",
- "inputTypes": [
- "Text"
- ],
- "type": "str"
- },
- "sourceHandle": {
- "baseClasses": [
- "str",
- "object",
- "Text"
- ],
- "dataType": "OpenAIModel",
- "id": "OpenAIModel-9RykF"
- }
- },
- "style": {
- "stroke": "#555"
- },
- "className": "stroke-gray-900 stroke-connection",
- "id": "reactflow__edge-OpenAIModel-9RykF{\u0153baseClasses\u0153:[\u0153str\u0153,\u0153object\u0153,\u0153Text\u0153],\u0153dataType\u0153:\u0153OpenAIModel\u0153,\u0153id\u0153:\u0153OpenAIModel-9RykF\u0153}-ChatOutput-P1jEe{\u0153fieldName\u0153:\u0153input_value\u0153,\u0153id\u0153:\u0153ChatOutput-P1jEe\u0153,\u0153inputTypes\u0153:[\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}"
- },
- {
- "source": "MemoryComponent-cdA1J",
- "sourceHandle": "{\u0153baseClasses\u0153:[\u0153str\u0153,\u0153Text\u0153,\u0153object\u0153],\u0153dataType\u0153:\u0153MemoryComponent\u0153,\u0153id\u0153:\u0153MemoryComponent-cdA1J\u0153}",
- "target": "TextOutput-vrs6T",
- "targetHandle": "{\u0153fieldName\u0153:\u0153input_value\u0153,\u0153id\u0153:\u0153TextOutput-vrs6T\u0153,\u0153inputTypes\u0153:[\u0153Record\u0153,\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}",
- "data": {
- "targetHandle": {
- "fieldName": "input_value",
- "id": "TextOutput-vrs6T",
- "inputTypes": [
- "Record",
- "Text"
- ],
- "type": "str"
- },
- "sourceHandle": {
- "baseClasses": [
- "str",
- "Text",
- "object"
- ],
- "dataType": "MemoryComponent",
- "id": "MemoryComponent-cdA1J"
- }
- },
- "style": {
- "stroke": "#555"
- },
- "className": "stroke-foreground stroke-connection",
- "id": "reactflow__edge-MemoryComponent-cdA1J{\u0153baseClasses\u0153:[\u0153str\u0153,\u0153Text\u0153,\u0153object\u0153],\u0153dataType\u0153:\u0153MemoryComponent\u0153,\u0153id\u0153:\u0153MemoryComponent-cdA1J\u0153}-TextOutput-vrs6T{\u0153fieldName\u0153:\u0153input_value\u0153,\u0153id\u0153:\u0153TextOutput-vrs6T\u0153,\u0153inputTypes\u0153:[\u0153Record\u0153,\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}"
- }
- ],
- "viewport": {
- "x": -569.862554459756,
- "y": -42.08339711050985,
- "zoom": 0.4868590524514978
+ "output_types": ["Text", "Record"],
+ "field_formatters": {},
+ "frozen": false,
+ "field_order": [],
+ "beta": false
+ },
+ "id": "ChatOutput-P1jEe"
+ },
+ "selected": false,
+ "width": 384,
+ "height": 477,
+ "dragging": false,
+ "positionAbsolute": {
+ "x": 3154.916355514023,
+ "y": 851.051882666333
}
- },
- "description": "This project can be used as a starting point for building a Chat experience with user specific memory. You can set a different Session ID to start a new message history.",
- "name": "Memory Chatbot",
- "last_tested_version": "1.0.0a0",
- "is_component": false
+ },
+ {
+ "id": "MemoryComponent-cdA1J",
+ "type": "genericNode",
+ "position": {
+ "x": 1289.9606870058817,
+ "y": 442.16804561053766
+ },
+ "data": {
+ "type": "MemoryComponent",
+ "node": {
+ "template": {
+ "code": {
+ "type": "code",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "from typing import Optional\n\nfrom langflow.base.memory.memory import BaseMemoryComponent\nfrom langflow.field_typing import Text\nfrom langflow.helpers.record import records_to_text\nfrom langflow.memory import get_messages\nfrom langflow.schema.schema import Record\n\n\nclass MemoryComponent(BaseMemoryComponent):\n display_name = \"Chat Memory\"\n description = \"Retrieves stored chat messages given a specific Session ID.\"\n beta: bool = True\n icon = \"history\"\n\n def build_config(self):\n return {\n \"sender\": {\n \"options\": [\"Machine\", \"User\", \"Machine and User\"],\n \"display_name\": \"Sender Type\",\n },\n \"sender_name\": {\"display_name\": \"Sender Name\", \"advanced\": True},\n \"n_messages\": {\n \"display_name\": \"Number of Messages\",\n \"info\": \"Number of messages to retrieve.\",\n },\n \"session_id\": {\n \"display_name\": \"Session ID\",\n \"info\": \"Session ID of the chat history.\",\n \"input_types\": [\"Text\"],\n },\n \"order\": {\n \"options\": [\"Ascending\", \"Descending\"],\n \"display_name\": \"Order\",\n \"info\": \"Order of the messages.\",\n \"advanced\": True,\n },\n \"record_template\": {\n \"display_name\": \"Record Template\",\n \"multiline\": True,\n \"info\": \"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n \"advanced\": True,\n },\n }\n\n def get_messages(self, **kwargs) -> list[Record]:\n # Validate kwargs by checking if it contains the correct keys\n if \"sender\" not in kwargs:\n kwargs[\"sender\"] = None\n if \"sender_name\" not in kwargs:\n kwargs[\"sender_name\"] = None\n if \"session_id\" not in kwargs:\n kwargs[\"session_id\"] = None\n if \"limit\" not in kwargs:\n kwargs[\"limit\"] = 5\n if \"order\" not in kwargs:\n kwargs[\"order\"] = \"Descending\"\n\n kwargs[\"order\"] = \"DESC\" if kwargs[\"order\"] == \"Descending\" else \"ASC\"\n if kwargs[\"sender\"] == \"Machine and User\":\n kwargs[\"sender\"] = None\n return get_messages(**kwargs)\n\n def build(\n self,\n sender: Optional[str] = \"Machine and User\",\n sender_name: Optional[str] = None,\n session_id: Optional[str] = None,\n n_messages: int = 5,\n order: Optional[str] = \"Descending\",\n record_template: Optional[str] = \"{sender_name}: {text}\",\n ) -> Text:\n messages = self.get_messages(\n sender=sender,\n sender_name=sender_name,\n session_id=session_id,\n limit=n_messages,\n order=order,\n )\n messages_str = records_to_text(template=record_template or \"\", records=messages)\n self.status = messages_str\n return messages_str\n",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "code",
+ "advanced": true,
+ "dynamic": true,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "n_messages": {
+ "type": "int",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": 5,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "n_messages",
+ "display_name": "Number of Messages",
+ "advanced": false,
+ "dynamic": false,
+ "info": "Number of messages to retrieve.",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "order": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": true,
+ "show": true,
+ "multiline": false,
+ "value": "Descending",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "options": ["Ascending", "Descending"],
+ "name": "order",
+ "display_name": "Order",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Order of the messages.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "record_template": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "{sender_name}: {text}",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "record_template",
+ "display_name": "Record Template",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "sender": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": true,
+ "show": true,
+ "multiline": false,
+ "value": "Machine and User",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "options": ["Machine", "User", "Machine and User"],
+ "name": "sender",
+ "display_name": "Sender Type",
+ "advanced": false,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "sender_name": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "sender_name",
+ "display_name": "Sender Name",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "session_id": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "session_id",
+ "display_name": "Session ID",
+ "advanced": false,
+ "input_types": ["Text"],
+ "dynamic": false,
+ "info": "Session ID of the chat history.",
+ "load_from_db": false,
+ "title_case": false,
+ "value": "MySessionID"
+ },
+ "_type": "CustomComponent"
+ },
+ "description": "Retrieves stored chat messages given a specific Session ID.",
+ "icon": "history",
+ "base_classes": ["str", "Text", "object"],
+ "display_name": "Chat Memory",
+ "documentation": "",
+ "custom_fields": {
+ "sender": null,
+ "sender_name": null,
+ "session_id": null,
+ "n_messages": null,
+ "order": null,
+ "record_template": null
+ },
+ "output_types": ["Text"],
+ "field_formatters": {},
+ "frozen": false,
+ "field_order": [],
+ "beta": true
+ },
+ "id": "MemoryComponent-cdA1J",
+ "description": "Retrieves stored chat messages given a specific Session ID.",
+ "display_name": "Chat Memory"
+ },
+ "selected": false,
+ "width": 384,
+ "height": 489,
+ "dragging": false,
+ "positionAbsolute": {
+ "x": 1289.9606870058817,
+ "y": 442.16804561053766
+ }
+ },
+ {
+ "id": "Prompt-ODkUx",
+ "type": "genericNode",
+ "position": {
+ "x": 1894.594426342426,
+ "y": 753.3797365481901
+ },
+ "data": {
+ "type": "Prompt",
+ "node": {
+ "template": {
+ "code": {
+ "type": "code",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "from langchain_core.prompts import PromptTemplate\n\nfrom langflow.custom import CustomComponent\nfrom langflow.field_typing import Prompt, TemplateField, Text\n\n\nclass PromptComponent(CustomComponent):\n display_name: str = \"Prompt\"\n description: str = \"Create a prompt template with dynamic variables.\"\n icon = \"prompts\"\n\n def build_config(self):\n return {\n \"template\": TemplateField(display_name=\"Template\"),\n \"code\": TemplateField(advanced=True),\n }\n\n def build(\n self,\n template: Prompt,\n **kwargs,\n ) -> Text:\n from langflow.base.prompts.utils import dict_values_to_string\n\n prompt_template = PromptTemplate.from_template(Text(template))\n kwargs = dict_values_to_string(kwargs)\n kwargs = {k: \"\\n\".join(v) if isinstance(v, list) else v for k, v in kwargs.items()}\n try:\n formated_prompt = prompt_template.format(**kwargs)\n except Exception as exc:\n raise ValueError(f\"Error formatting prompt: {exc}\") from exc\n self.status = f'Prompt:\\n\"{formated_prompt}\"'\n return formated_prompt\n",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "code",
+ "advanced": true,
+ "dynamic": true,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "template": {
+ "type": "prompt",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": "{context}\n\nUser: {user_message}\nAI: ",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "template",
+ "display_name": "Template",
+ "advanced": false,
+ "input_types": ["Text"],
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "_type": "CustomComponent",
+ "context": {
+ "field_type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "context",
+ "display_name": "context",
+ "advanced": false,
+ "input_types": [
+ "Document",
+ "BaseOutputParser",
+ "Record",
+ "Text"
+ ],
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "type": "str"
+ },
+ "user_message": {
+ "field_type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "user_message",
+ "display_name": "user_message",
+ "advanced": false,
+ "input_types": [
+ "Document",
+ "BaseOutputParser",
+ "Record",
+ "Text"
+ ],
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "type": "str"
+ }
+ },
+ "description": "Create a prompt template with dynamic variables.",
+ "icon": "prompts",
+ "is_input": null,
+ "is_output": null,
+ "is_composition": null,
+ "base_classes": ["Text", "str", "object"],
+ "name": "",
+ "display_name": "Prompt",
+ "documentation": "",
+ "custom_fields": {
+ "template": ["context", "user_message"]
+ },
+ "output_types": ["Text"],
+ "full_path": null,
+ "field_formatters": {},
+ "frozen": false,
+ "field_order": [],
+ "beta": false,
+ "error": null
+ },
+ "id": "Prompt-ODkUx",
+ "description": "A component for creating prompt templates using dynamic variables.",
+ "display_name": "Prompt"
+ },
+ "selected": false,
+ "width": 384,
+ "height": 477,
+ "dragging": false,
+ "positionAbsolute": {
+ "x": 1894.594426342426,
+ "y": 753.3797365481901
+ }
+ },
+ {
+ "id": "OpenAIModel-9RykF",
+ "type": "genericNode",
+ "position": {
+ "x": 2561.5850334731617,
+ "y": 553.2745131130916
+ },
+ "data": {
+ "type": "OpenAIModel",
+ "node": {
+ "template": {
+ "input_value": {
+ "type": "str",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "input_value",
+ "display_name": "Input",
+ "advanced": false,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "code": {
+ "type": "code",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\"},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n \"info\": \"The maximum number of tokens to generate. Set to 0 for unlimited tokens.\",\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": MODEL_NAMES,\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float = 0.1,\n model_name: str = \"gpt-4o\",\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens or None,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "code",
+ "advanced": true,
+ "dynamic": true,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "max_tokens": {
+ "type": "int",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": 256,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "max_tokens",
+ "display_name": "Max Tokens",
+ "advanced": true,
+ "dynamic": false,
+ "info": "The maximum number of tokens to generate. Set to 0 for unlimited tokens.",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "model_kwargs": {
+ "type": "NestedDict",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": {},
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "model_kwargs",
+ "display_name": "Model Kwargs",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "model_name": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": true,
+ "show": true,
+ "multiline": false,
+ "value": "gpt-4-1106-preview",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "options": [
+ "gpt-4o",
+ "gpt-4-turbo",
+ "gpt-4-turbo-preview",
+ "gpt-3.5-turbo",
+ "gpt-3.5-turbo-0125"
+ ],
+ "name": "model_name",
+ "display_name": "Model Name",
+ "advanced": false,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "openai_api_base": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "openai_api_base",
+ "display_name": "OpenAI API Base",
+ "advanced": true,
+ "dynamic": false,
+ "info": "The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\n\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "openai_api_key": {
+ "type": "str",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": true,
+ "name": "openai_api_key",
+ "display_name": "OpenAI API Key",
+ "advanced": false,
+ "dynamic": false,
+ "info": "The OpenAI API Key to use for the OpenAI model.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"],
+ "value": "OPENAI_API_KEY"
+ },
+ "stream": {
+ "type": "bool",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "stream",
+ "display_name": "Stream",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Stream the response from the model. Streaming works only in Chat.",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "system_message": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "system_message",
+ "display_name": "System Message",
+ "advanced": true,
+ "dynamic": false,
+ "info": "System message to pass to the model.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "temperature": {
+ "type": "float",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": "0.2",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "temperature",
+ "display_name": "Temperature",
+ "advanced": false,
+ "dynamic": false,
+ "info": "",
+ "rangeSpec": {
+ "step_type": "float",
+ "min": -1,
+ "max": 1,
+ "step": 0.1
+ },
+ "load_from_db": false,
+ "title_case": false
+ },
+ "_type": "CustomComponent"
+ },
+ "description": "Generates text using OpenAI LLMs.",
+ "icon": "OpenAI",
+ "base_classes": ["str", "object", "Text"],
+ "display_name": "OpenAI",
+ "documentation": "",
+ "custom_fields": {
+ "input_value": null,
+ "openai_api_key": null,
+ "temperature": null,
+ "model_name": null,
+ "max_tokens": null,
+ "model_kwargs": null,
+ "openai_api_base": null,
+ "stream": null,
+ "system_message": null
+ },
+ "output_types": ["Text"],
+ "field_formatters": {},
+ "frozen": false,
+ "field_order": [
+ "max_tokens",
+ "model_kwargs",
+ "model_name",
+ "openai_api_base",
+ "openai_api_key",
+ "temperature",
+ "input_value",
+ "system_message",
+ "stream"
+ ],
+ "beta": false
+ },
+ "id": "OpenAIModel-9RykF"
+ },
+ "selected": false,
+ "width": 384,
+ "height": 563,
+ "positionAbsolute": {
+ "x": 2561.5850334731617,
+ "y": 553.2745131130916
+ },
+ "dragging": false
+ },
+ {
+ "id": "TextOutput-vrs6T",
+ "type": "genericNode",
+ "position": {
+ "x": 1911.4785906252087,
+ "y": 247.39079954376987
+ },
+ "data": {
+ "type": "TextOutput",
+ "node": {
+ "template": {
+ "input_value": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": "",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "input_value",
+ "display_name": "Value",
+ "advanced": false,
+ "input_types": ["Record", "Text"],
+ "dynamic": false,
+ "info": "Text or Record to be passed as output.",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "code": {
+ "type": "code",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "from typing import Optional\n\nfrom langflow.base.io.text import TextComponent\nfrom langflow.field_typing import Text\n\n\nclass TextOutput(TextComponent):\n display_name = \"Text Output\"\n description = \"Display a text output in the Playground.\"\n icon = \"type\"\n\n def build_config(self):\n return {\n \"input_value\": {\n \"display_name\": \"Value\",\n \"input_types\": [\"Record\", \"Text\"],\n \"info\": \"Text or Record to be passed as output.\",\n },\n \"record_template\": {\n \"display_name\": \"Record Template\",\n \"multiline\": True,\n \"info\": \"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n \"advanced\": True,\n },\n }\n\n def build(self, input_value: Optional[Text] = \"\", record_template: str = \"\") -> Text:\n return super().build(input_value=input_value, record_template=record_template)\n",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "code",
+ "advanced": true,
+ "dynamic": true,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "record_template": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "record_template",
+ "display_name": "Record Template",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "_type": "CustomComponent"
+ },
+ "description": "Display a text output in the Playground.",
+ "icon": "type",
+ "base_classes": ["str", "object", "Text"],
+ "display_name": "Inspect Memory",
+ "documentation": "",
+ "custom_fields": {
+ "input_value": null,
+ "record_template": null
+ },
+ "output_types": ["Text"],
+ "field_formatters": {},
+ "frozen": false,
+ "field_order": [],
+ "beta": false
+ },
+ "id": "TextOutput-vrs6T"
+ },
+ "selected": false,
+ "width": 384,
+ "height": 289,
+ "positionAbsolute": {
+ "x": 1911.4785906252087,
+ "y": 247.39079954376987
+ },
+ "dragging": false
+ }
+ ],
+ "edges": [
+ {
+ "source": "MemoryComponent-cdA1J",
+ "sourceHandle": "{œbaseClassesœ:[œstrœ,œTextœ,œobjectœ],œdataTypeœ:œMemoryComponentœ,œidœ:œMemoryComponent-cdA1Jœ}",
+ "target": "Prompt-ODkUx",
+ "targetHandle": "{œfieldNameœ:œcontextœ,œidœ:œPrompt-ODkUxœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}",
+ "data": {
+ "targetHandle": {
+ "fieldName": "context",
+ "type": "str",
+ "id": "Prompt-ODkUx",
+ "inputTypes": ["Document", "BaseOutputParser", "Record", "Text"]
+ },
+ "sourceHandle": {
+ "baseClasses": ["str", "Text", "object"],
+ "dataType": "MemoryComponent",
+ "id": "MemoryComponent-cdA1J"
+ }
+ },
+ "style": {
+ "stroke": "#555"
+ },
+ "className": "stroke-gray-900 stroke-connection",
+ "id": "reactflow__edge-MemoryComponent-cdA1J{œbaseClassesœ:[œstrœ,œTextœ,œobjectœ],œdataTypeœ:œMemoryComponentœ,œidœ:œMemoryComponent-cdA1Jœ}-Prompt-ODkUx{œfieldNameœ:œcontextœ,œidœ:œPrompt-ODkUxœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}",
+ "selected": false
+ },
+ {
+ "source": "ChatInput-t7F8v",
+ "sourceHandle": "{œbaseClassesœ:[œTextœ,œobjectœ,œRecordœ,œstrœ],œdataTypeœ:œChatInputœ,œidœ:œChatInput-t7F8vœ}",
+ "target": "Prompt-ODkUx",
+ "targetHandle": "{œfieldNameœ:œuser_messageœ,œidœ:œPrompt-ODkUxœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}",
+ "data": {
+ "targetHandle": {
+ "fieldName": "user_message",
+ "type": "str",
+ "id": "Prompt-ODkUx",
+ "inputTypes": ["Document", "BaseOutputParser", "Record", "Text"]
+ },
+ "sourceHandle": {
+ "baseClasses": ["Text", "object", "Record", "str"],
+ "dataType": "ChatInput",
+ "id": "ChatInput-t7F8v"
+ }
+ },
+ "style": {
+ "stroke": "#555"
+ },
+ "className": "stroke-gray-900 stroke-connection",
+ "id": "reactflow__edge-ChatInput-t7F8v{œbaseClassesœ:[œTextœ,œobjectœ,œRecordœ,œstrœ],œdataTypeœ:œChatInputœ,œidœ:œChatInput-t7F8vœ}-Prompt-ODkUx{œfieldNameœ:œuser_messageœ,œidœ:œPrompt-ODkUxœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}",
+ "selected": false
+ },
+ {
+ "source": "Prompt-ODkUx",
+ "sourceHandle": "{œbaseClassesœ:[œTextœ,œstrœ,œobjectœ],œdataTypeœ:œPromptœ,œidœ:œPrompt-ODkUxœ}",
+ "target": "OpenAIModel-9RykF",
+ "targetHandle": "{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-9RykFœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}",
+ "data": {
+ "targetHandle": {
+ "fieldName": "input_value",
+ "id": "OpenAIModel-9RykF",
+ "inputTypes": ["Text"],
+ "type": "str"
+ },
+ "sourceHandle": {
+ "baseClasses": ["Text", "str", "object"],
+ "dataType": "Prompt",
+ "id": "Prompt-ODkUx"
+ }
+ },
+ "style": {
+ "stroke": "#555"
+ },
+ "className": "stroke-gray-900 stroke-connection",
+ "id": "reactflow__edge-Prompt-ODkUx{œbaseClassesœ:[œTextœ,œstrœ,œobjectœ],œdataTypeœ:œPromptœ,œidœ:œPrompt-ODkUxœ}-OpenAIModel-9RykF{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-9RykFœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}"
+ },
+ {
+ "source": "OpenAIModel-9RykF",
+ "sourceHandle": "{œbaseClassesœ:[œstrœ,œobjectœ,œTextœ],œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-9RykFœ}",
+ "target": "ChatOutput-P1jEe",
+ "targetHandle": "{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-P1jEeœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}",
+ "data": {
+ "targetHandle": {
+ "fieldName": "input_value",
+ "id": "ChatOutput-P1jEe",
+ "inputTypes": ["Text"],
+ "type": "str"
+ },
+ "sourceHandle": {
+ "baseClasses": ["str", "object", "Text"],
+ "dataType": "OpenAIModel",
+ "id": "OpenAIModel-9RykF"
+ }
+ },
+ "style": {
+ "stroke": "#555"
+ },
+ "className": "stroke-gray-900 stroke-connection",
+ "id": "reactflow__edge-OpenAIModel-9RykF{œbaseClassesœ:[œstrœ,œobjectœ,œTextœ],œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-9RykFœ}-ChatOutput-P1jEe{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-P1jEeœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}"
+ },
+ {
+ "source": "MemoryComponent-cdA1J",
+ "sourceHandle": "{œbaseClassesœ:[œstrœ,œTextœ,œobjectœ],œdataTypeœ:œMemoryComponentœ,œidœ:œMemoryComponent-cdA1Jœ}",
+ "target": "TextOutput-vrs6T",
+ "targetHandle": "{œfieldNameœ:œinput_valueœ,œidœ:œTextOutput-vrs6Tœ,œinputTypesœ:[œRecordœ,œTextœ],œtypeœ:œstrœ}",
+ "data": {
+ "targetHandle": {
+ "fieldName": "input_value",
+ "id": "TextOutput-vrs6T",
+ "inputTypes": ["Record", "Text"],
+ "type": "str"
+ },
+ "sourceHandle": {
+ "baseClasses": ["str", "Text", "object"],
+ "dataType": "MemoryComponent",
+ "id": "MemoryComponent-cdA1J"
+ }
+ },
+ "style": {
+ "stroke": "#555"
+ },
+ "className": "stroke-foreground stroke-connection",
+ "id": "reactflow__edge-MemoryComponent-cdA1J{œbaseClassesœ:[œstrœ,œTextœ,œobjectœ],œdataTypeœ:œMemoryComponentœ,œidœ:œMemoryComponent-cdA1Jœ}-TextOutput-vrs6T{œfieldNameœ:œinput_valueœ,œidœ:œTextOutput-vrs6Tœ,œinputTypesœ:[œRecordœ,œTextœ],œtypeœ:œstrœ}"
+ }
+ ],
+ "viewport": {
+ "x": -569.862554459756,
+ "y": -42.08339711050985,
+ "zoom": 0.4868590524514978
+ }
+ },
+ "description": "This project can be used as a starting point for building a Chat experience with user specific memory. You can set a different Session ID to start a new message history.",
+ "name": "Memory Chatbot",
+ "last_tested_version": "1.0.0a0",
+ "is_component": false
}
diff --git a/src/backend/base/langflow/initial_setup/starter_projects/Langflow Prompt Chaining.json b/src/backend/base/langflow/initial_setup/starter_projects/Langflow Prompt Chaining.json
index dd1b1307f..d49eba054 100644
--- a/src/backend/base/langflow/initial_setup/starter_projects/Langflow Prompt Chaining.json
+++ b/src/backend/base/langflow/initial_setup/starter_projects/Langflow Prompt Chaining.json
@@ -1,1769 +1,1586 @@
{
- "id": "85392e54-20f3-4ab5-a179-cb4bef16f639",
- "data": {
- "nodes": [
- {
- "id": "Prompt-amqBu",
- "type": "genericNode",
- "position": {
- "x": 2191.5837146441663,
- "y": 1047.9307944451873
- },
- "data": {
- "type": "Prompt",
- "node": {
- "template": {
- "code": {
- "type": "code",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "from langchain_core.prompts import PromptTemplate\n\nfrom langflow.custom import CustomComponent\nfrom langflow.field_typing import Prompt, TemplateField, Text\n\n\nclass PromptComponent(CustomComponent):\n display_name: str = \"Prompt\"\n description: str = \"Create a prompt template with dynamic variables.\"\n icon = \"prompts\"\n\n def build_config(self):\n return {\n \"template\": TemplateField(display_name=\"Template\"),\n \"code\": TemplateField(advanced=True),\n }\n\n def build(\n self,\n template: Prompt,\n **kwargs,\n ) -> Text:\n from langflow.base.prompts.utils import dict_values_to_string\n\n prompt_template = PromptTemplate.from_template(Text(template))\n kwargs = dict_values_to_string(kwargs)\n kwargs = {k: \"\\n\".join(v) if isinstance(v, list) else v for k, v in kwargs.items()}\n try:\n formated_prompt = prompt_template.format(**kwargs)\n except Exception as exc:\n raise ValueError(f\"Error formatting prompt: {exc}\") from exc\n self.status = f'Prompt:\\n\"{formated_prompt}\"'\n return formated_prompt\n",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "code",
- "advanced": true,
- "dynamic": true,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "template": {
- "type": "prompt",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": "You are a helpful assistant. Given a long document, your task is to create a concise summary that captures the main points and key details. The summary should be clear, accurate, and succinct. Please provide the summary in the format below:\n####\n{document}\n####\n",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "template",
- "display_name": "Template",
- "advanced": false,
- "input_types": [
- "Text"
- ],
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "_type": "CustomComponent",
- "document": {
- "field_type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "document",
- "display_name": "document",
- "advanced": false,
- "input_types": [
- "Document",
- "BaseOutputParser",
- "Record",
- "Text"
- ],
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "type": "str"
- }
- },
- "description": "Create a prompt template with dynamic variables.",
- "icon": "prompts",
- "is_input": null,
- "is_output": null,
- "is_composition": null,
- "base_classes": [
- "object",
- "str",
- "Text"
- ],
- "name": "",
- "display_name": "Prompt",
- "documentation": "",
- "custom_fields": {
- "template": [
- "document"
- ]
- },
- "output_types": [
- "Text"
- ],
- "full_path": null,
- "field_formatters": {},
- "frozen": false,
- "field_order": [],
- "beta": false,
- "error": null
- },
- "id": "Prompt-amqBu",
- "description": "Create a prompt template with dynamic variables.",
- "display_name": "Prompt"
- },
- "selected": false,
- "width": 384,
- "height": 385,
- "positionAbsolute": {
- "x": 2191.5837146441663,
- "y": 1047.9307944451873
- },
- "dragging": false
+ "id": "85392e54-20f3-4ab5-a179-cb4bef16f639",
+ "data": {
+ "nodes": [
+ {
+ "id": "Prompt-amqBu",
+ "type": "genericNode",
+ "position": {
+ "x": 2191.5837146441663,
+ "y": 1047.9307944451873
+ },
+ "data": {
+ "type": "Prompt",
+ "node": {
+ "template": {
+ "code": {
+ "type": "code",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "from langchain_core.prompts import PromptTemplate\n\nfrom langflow.custom import CustomComponent\nfrom langflow.field_typing import Prompt, TemplateField, Text\n\n\nclass PromptComponent(CustomComponent):\n display_name: str = \"Prompt\"\n description: str = \"Create a prompt template with dynamic variables.\"\n icon = \"prompts\"\n\n def build_config(self):\n return {\n \"template\": TemplateField(display_name=\"Template\"),\n \"code\": TemplateField(advanced=True),\n }\n\n def build(\n self,\n template: Prompt,\n **kwargs,\n ) -> Text:\n from langflow.base.prompts.utils import dict_values_to_string\n\n prompt_template = PromptTemplate.from_template(Text(template))\n kwargs = dict_values_to_string(kwargs)\n kwargs = {k: \"\\n\".join(v) if isinstance(v, list) else v for k, v in kwargs.items()}\n try:\n formated_prompt = prompt_template.format(**kwargs)\n except Exception as exc:\n raise ValueError(f\"Error formatting prompt: {exc}\") from exc\n self.status = f'Prompt:\\n\"{formated_prompt}\"'\n return formated_prompt\n",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "code",
+ "advanced": true,
+ "dynamic": true,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "template": {
+ "type": "prompt",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": "You are a helpful assistant. Given a long document, your task is to create a concise summary that captures the main points and key details. The summary should be clear, accurate, and succinct. Please provide the summary in the format below:\n####\n{document}\n####\n",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "template",
+ "display_name": "Template",
+ "advanced": false,
+ "input_types": ["Text"],
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "_type": "CustomComponent",
+ "document": {
+ "field_type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "document",
+ "display_name": "document",
+ "advanced": false,
+ "input_types": [
+ "Document",
+ "BaseOutputParser",
+ "Record",
+ "Text"
+ ],
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "type": "str"
+ }
},
- {
- "id": "Prompt-gTNiz",
- "type": "genericNode",
- "position": {
- "x": 3731.0813766902447,
- "y": 799.631909121391
- },
- "data": {
- "type": "Prompt",
- "node": {
- "template": {
- "code": {
- "type": "code",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "from langchain_core.prompts import PromptTemplate\n\nfrom langflow.custom import CustomComponent\nfrom langflow.field_typing import Prompt, TemplateField, Text\n\n\nclass PromptComponent(CustomComponent):\n display_name: str = \"Prompt\"\n description: str = \"Create a prompt template with dynamic variables.\"\n icon = \"prompts\"\n\n def build_config(self):\n return {\n \"template\": TemplateField(display_name=\"Template\"),\n \"code\": TemplateField(advanced=True),\n }\n\n def build(\n self,\n template: Prompt,\n **kwargs,\n ) -> Text:\n from langflow.base.prompts.utils import dict_values_to_string\n\n prompt_template = PromptTemplate.from_template(Text(template))\n kwargs = dict_values_to_string(kwargs)\n kwargs = {k: \"\\n\".join(v) if isinstance(v, list) else v for k, v in kwargs.items()}\n try:\n formated_prompt = prompt_template.format(**kwargs)\n except Exception as exc:\n raise ValueError(f\"Error formatting prompt: {exc}\") from exc\n self.status = f'Prompt:\\n\"{formated_prompt}\"'\n return formated_prompt\n",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "code",
- "advanced": true,
- "dynamic": true,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "template": {
- "type": "prompt",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": "Given a summary of an article, please create two multiple-choice questions that cover the key points and details mentioned. Ensure the questions are clear and provide three options (A, B, C), with one correct answer.\n####\n{summary}\n####",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "template",
- "display_name": "Template",
- "advanced": false,
- "input_types": [
- "Text"
- ],
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "_type": "CustomComponent",
- "summary": {
- "field_type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "summary",
- "display_name": "summary",
- "advanced": false,
- "input_types": [
- "Document",
- "BaseOutputParser",
- "Record",
- "Text"
- ],
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "type": "str"
- }
- },
- "description": "Create a prompt template with dynamic variables.",
- "icon": "prompts",
- "is_input": null,
- "is_output": null,
- "is_composition": null,
- "base_classes": [
- "object",
- "str",
- "Text"
- ],
- "name": "",
- "display_name": "Prompt",
- "documentation": "",
- "custom_fields": {
- "template": [
- "summary"
- ]
- },
- "output_types": [
- "Text"
- ],
- "full_path": null,
- "field_formatters": {},
- "frozen": false,
- "field_order": [],
- "beta": false,
- "error": null
- },
- "id": "Prompt-gTNiz",
- "description": "Create a prompt template with dynamic variables.",
- "display_name": "Prompt"
- },
- "selected": false,
- "width": 384,
- "height": 385,
- "dragging": false
+ "description": "Create a prompt template with dynamic variables.",
+ "icon": "prompts",
+ "is_input": null,
+ "is_output": null,
+ "is_composition": null,
+ "base_classes": ["object", "str", "Text"],
+ "name": "",
+ "display_name": "Prompt",
+ "documentation": "",
+ "custom_fields": {
+ "template": ["document"]
},
- {
- "id": "ChatOutput-EJkG3",
- "type": "genericNode",
- "position": {
- "x": 3722.1747844849388,
- "y": 1283.413553222214
- },
- "data": {
- "type": "ChatOutput",
- "node": {
- "template": {
- "code": {
- "type": "code",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n record_template: Optional[str] = \"{text}\",\n ) -> Union[Text, Record]:\n return super().build_with_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n record_template=record_template or \"\",\n )\n",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "code",
- "advanced": true,
- "dynamic": true,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "input_value": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "input_value",
- "display_name": "Message",
- "advanced": false,
- "input_types": [
- "Text"
- ],
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "record_template": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "{text}",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "record_template",
- "display_name": "Record Template",
- "advanced": true,
- "dynamic": false,
- "info": "In case of Message being a Record, this template will be used to convert it to text.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "return_record": {
- "type": "bool",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "return_record",
- "display_name": "Return Record",
- "advanced": true,
- "dynamic": false,
- "info": "Return the message as a record containing the sender, sender_name, and session_id.",
- "load_from_db": false,
- "title_case": false
- },
- "sender": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": true,
- "show": true,
- "multiline": false,
- "value": "Machine",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "options": [
- "Machine",
- "User"
- ],
- "name": "sender",
- "display_name": "Sender Type",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "sender_name": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": "Summarizer",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "sender_name",
- "display_name": "Sender Name",
- "advanced": false,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "session_id": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "session_id",
- "display_name": "Session ID",
- "advanced": true,
- "dynamic": false,
- "info": "If provided, the message will be stored in the memory.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "_type": "CustomComponent"
- },
- "description": "Display a chat message in the Playground.",
- "icon": "ChatOutput",
- "base_classes": [
- "object",
- "Record",
- "Text",
- "str"
- ],
- "display_name": "Chat Output",
- "documentation": "",
- "custom_fields": {
- "sender": null,
- "sender_name": null,
- "input_value": null,
- "session_id": null,
- "return_record": null,
- "record_template": null
- },
- "output_types": [
- "Text",
- "Record"
- ],
- "field_formatters": {},
- "frozen": false,
- "field_order": [],
- "beta": false
- },
- "id": "ChatOutput-EJkG3"
- },
- "selected": false,
- "width": 384,
- "height": 385,
- "dragging": false
+ "output_types": ["Text"],
+ "full_path": null,
+ "field_formatters": {},
+ "frozen": false,
+ "field_order": [],
+ "beta": false,
+ "error": null
+ },
+ "id": "Prompt-amqBu",
+ "description": "Create a prompt template with dynamic variables.",
+ "display_name": "Prompt"
+ },
+ "selected": false,
+ "width": 384,
+ "height": 385,
+ "positionAbsolute": {
+ "x": 2191.5837146441663,
+ "y": 1047.9307944451873
+ },
+ "dragging": false
+ },
+ {
+ "id": "Prompt-gTNiz",
+ "type": "genericNode",
+ "position": {
+ "x": 3731.0813766902447,
+ "y": 799.631909121391
+ },
+ "data": {
+ "type": "Prompt",
+ "node": {
+ "template": {
+ "code": {
+ "type": "code",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "from langchain_core.prompts import PromptTemplate\n\nfrom langflow.custom import CustomComponent\nfrom langflow.field_typing import Prompt, TemplateField, Text\n\n\nclass PromptComponent(CustomComponent):\n display_name: str = \"Prompt\"\n description: str = \"Create a prompt template with dynamic variables.\"\n icon = \"prompts\"\n\n def build_config(self):\n return {\n \"template\": TemplateField(display_name=\"Template\"),\n \"code\": TemplateField(advanced=True),\n }\n\n def build(\n self,\n template: Prompt,\n **kwargs,\n ) -> Text:\n from langflow.base.prompts.utils import dict_values_to_string\n\n prompt_template = PromptTemplate.from_template(Text(template))\n kwargs = dict_values_to_string(kwargs)\n kwargs = {k: \"\\n\".join(v) if isinstance(v, list) else v for k, v in kwargs.items()}\n try:\n formated_prompt = prompt_template.format(**kwargs)\n except Exception as exc:\n raise ValueError(f\"Error formatting prompt: {exc}\") from exc\n self.status = f'Prompt:\\n\"{formated_prompt}\"'\n return formated_prompt\n",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "code",
+ "advanced": true,
+ "dynamic": true,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "template": {
+ "type": "prompt",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": "Given a summary of an article, please create two multiple-choice questions that cover the key points and details mentioned. Ensure the questions are clear and provide three options (A, B, C), with one correct answer.\n####\n{summary}\n####",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "template",
+ "display_name": "Template",
+ "advanced": false,
+ "input_types": ["Text"],
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "_type": "CustomComponent",
+ "summary": {
+ "field_type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "summary",
+ "display_name": "summary",
+ "advanced": false,
+ "input_types": [
+ "Document",
+ "BaseOutputParser",
+ "Record",
+ "Text"
+ ],
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "type": "str"
+ }
},
- {
- "id": "ChatOutput-DNmvg",
- "type": "genericNode",
- "position": {
- "x": 5077.71285886074,
- "y": 1232.9152769735522
- },
- "data": {
- "type": "ChatOutput",
- "node": {
- "template": {
- "code": {
- "type": "code",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n record_template: Optional[str] = \"{text}\",\n ) -> Union[Text, Record]:\n return super().build_with_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n record_template=record_template or \"\",\n )\n",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "code",
- "advanced": true,
- "dynamic": true,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "input_value": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "input_value",
- "display_name": "Message",
- "advanced": false,
- "input_types": [
- "Text"
- ],
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "record_template": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "{text}",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "record_template",
- "display_name": "Record Template",
- "advanced": true,
- "dynamic": false,
- "info": "In case of Message being a Record, this template will be used to convert it to text.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "return_record": {
- "type": "bool",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "return_record",
- "display_name": "Return Record",
- "advanced": true,
- "dynamic": false,
- "info": "Return the message as a record containing the sender, sender_name, and session_id.",
- "load_from_db": false,
- "title_case": false
- },
- "sender": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": true,
- "show": true,
- "multiline": false,
- "value": "Machine",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "options": [
- "Machine",
- "User"
- ],
- "name": "sender",
- "display_name": "Sender Type",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "sender_name": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": "Question Generator",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "sender_name",
- "display_name": "Sender Name",
- "advanced": false,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "session_id": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "session_id",
- "display_name": "Session ID",
- "advanced": true,
- "dynamic": false,
- "info": "If provided, the message will be stored in the memory.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "_type": "CustomComponent"
- },
- "description": "Display a chat message in the Playground.",
- "icon": "ChatOutput",
- "base_classes": [
- "object",
- "Record",
- "Text",
- "str"
- ],
- "display_name": "Chat Output",
- "documentation": "",
- "custom_fields": {
- "sender": null,
- "sender_name": null,
- "input_value": null,
- "session_id": null,
- "return_record": null,
- "record_template": null
- },
- "output_types": [
- "Text",
- "Record"
- ],
- "field_formatters": {},
- "frozen": false,
- "field_order": [],
- "beta": false
- },
- "id": "ChatOutput-DNmvg"
- },
- "selected": false,
- "width": 384,
- "height": 385
+ "description": "Create a prompt template with dynamic variables.",
+ "icon": "prompts",
+ "is_input": null,
+ "is_output": null,
+ "is_composition": null,
+ "base_classes": ["object", "str", "Text"],
+ "name": "",
+ "display_name": "Prompt",
+ "documentation": "",
+ "custom_fields": {
+ "template": ["summary"]
},
- {
- "id": "TextInput-sptaH",
- "type": "genericNode",
- "position": {
- "x": 1700.5624822024752,
- "y": 1039.603088937466
- },
- "data": {
- "type": "TextInput",
- "node": {
- "template": {
- "code": {
- "type": "code",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "from typing import Optional\n\nfrom langflow.base.io.text import TextComponent\nfrom langflow.field_typing import Text\n\n\nclass TextInput(TextComponent):\n display_name = \"Text Input\"\n description = \"Get text inputs from the Playground.\"\n icon = \"type\"\n\n def build_config(self):\n return {\n \"input_value\": {\n \"display_name\": \"Value\",\n \"input_types\": [\"Record\", \"Text\"],\n \"info\": \"Text or Record to be passed as input.\",\n },\n \"record_template\": {\n \"display_name\": \"Record Template\",\n \"multiline\": True,\n \"info\": \"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Optional[Text] = \"\",\n record_template: Optional[str] = \"\",\n ) -> Text:\n return super().build(input_value=input_value, record_template=record_template)\n",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "code",
- "advanced": true,
- "dynamic": true,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "input_value": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": "Revolutionary Nano-Battery Technology Unveiled In a groundbreaking announcement yesterday, researchers from the fictional Tech Innovations Institute revealed the development of a new nano-battery technology that promises to revolutionize energy storage. The new battery, dubbed the \"EnerGCell\", uses advanced nanomaterials to achieve unprecedented efficiency and storage capacities. According to lead researcher Dr. Ada Byron, the EnerGCell can store up to ten times more energy than the best lithium-ion batteries available today, while charging in just a fraction of the time. \"We're talking about charging your electric vehicle in just five minutes for a range of over 1,000 miles,\" Dr. Byron stated during the press conference. The technology behind the EnerGCell involves a complex arrangement of nanostructured electrodes that allow for rapid ion transfer and extremely high energy density. This breakthrough was achieved after a decade of research into nanomaterials and their applications in energy storage. The implications of this technology are vast, promising to accelerate the adoption of renewable energy by making it more practical and affordable to store wind and solar power. It could also lead to significant advancements in electric vehicles, mobile devices, and any other technology that relies on batteries. Despite the excitement, some experts are calling for patience, noting that the EnerGCell is still in its early stages of development and may take several years before it's commercially available. However, the potential impact of such a technology on the environment and the global economy is undeniable. Tech Innovations Institute plans to continue refining the EnerGCell and begin pilot projects with select partners in the coming year. If successful, this nano-battery technology could indeed be the breakthrough needed to usher in a new era of clean energy and technology.",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "input_value",
- "display_name": "Value",
- "advanced": false,
- "input_types": [
- "Record",
- "Text"
- ],
- "dynamic": false,
- "info": "Text or Record to be passed as input.",
- "load_from_db": false,
- "title_case": false
- },
- "record_template": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "record_template",
- "display_name": "Record Template",
- "advanced": true,
- "dynamic": false,
- "info": "Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "_type": "CustomComponent"
- },
- "description": "Get text inputs from the Playground.",
- "icon": "type",
- "base_classes": [
- "str",
- "Text",
- "object"
- ],
- "display_name": "Text Input",
- "documentation": "",
- "custom_fields": {
- "input_value": null,
- "record_template": null
- },
- "output_types": [
- "Text"
- ],
- "field_formatters": {},
- "frozen": false,
- "field_order": [],
- "beta": false
- },
- "id": "TextInput-sptaH"
- },
- "selected": false,
- "width": 384,
- "height": 290,
- "positionAbsolute": {
- "x": 1700.5624822024752,
- "y": 1039.603088937466
- },
- "dragging": false
+ "output_types": ["Text"],
+ "full_path": null,
+ "field_formatters": {},
+ "frozen": false,
+ "field_order": [],
+ "beta": false,
+ "error": null
+ },
+ "id": "Prompt-gTNiz",
+ "description": "Create a prompt template with dynamic variables.",
+ "display_name": "Prompt"
+ },
+ "selected": false,
+ "width": 384,
+ "height": 385,
+ "dragging": false
+ },
+ {
+ "id": "ChatOutput-EJkG3",
+ "type": "genericNode",
+ "position": {
+ "x": 3722.1747844849388,
+ "y": 1283.413553222214
+ },
+ "data": {
+ "type": "ChatOutput",
+ "node": {
+ "template": {
+ "code": {
+ "type": "code",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n record_template: Optional[str] = \"{text}\",\n ) -> Union[Text, Record]:\n return super().build_with_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n record_template=record_template or \"\",\n )\n",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "code",
+ "advanced": true,
+ "dynamic": true,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "input_value": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "input_value",
+ "display_name": "Message",
+ "advanced": false,
+ "input_types": ["Text"],
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "record_template": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "{text}",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "record_template",
+ "display_name": "Record Template",
+ "advanced": true,
+ "dynamic": false,
+ "info": "In case of Message being a Record, this template will be used to convert it to text.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "return_record": {
+ "type": "bool",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "return_record",
+ "display_name": "Return Record",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Return the message as a record containing the sender, sender_name, and session_id.",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "sender": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": true,
+ "show": true,
+ "multiline": false,
+ "value": "Machine",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "options": ["Machine", "User"],
+ "name": "sender",
+ "display_name": "Sender Type",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "sender_name": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": "Summarizer",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "sender_name",
+ "display_name": "Sender Name",
+ "advanced": false,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "session_id": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "session_id",
+ "display_name": "Session ID",
+ "advanced": true,
+ "dynamic": false,
+ "info": "If provided, the message will be stored in the memory.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "_type": "CustomComponent"
},
- {
- "id": "TextOutput-2MS4a",
- "type": "genericNode",
- "position": {
- "x": 2917.216113690115,
- "y": 513.0058511435552
- },
- "data": {
- "type": "TextOutput",
- "node": {
- "template": {
- "input_value": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": "",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "input_value",
- "display_name": "Value",
- "advanced": false,
- "input_types": [
- "Record",
- "Text"
- ],
- "dynamic": false,
- "info": "Text or Record to be passed as output.",
- "load_from_db": false,
- "title_case": false
- },
- "code": {
- "type": "code",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "from typing import Optional\n\nfrom langflow.base.io.text import TextComponent\nfrom langflow.field_typing import Text\n\n\nclass TextOutput(TextComponent):\n display_name = \"Text Output\"\n description = \"Display a text output in the Playground.\"\n icon = \"type\"\n\n def build_config(self):\n return {\n \"input_value\": {\n \"display_name\": \"Value\",\n \"input_types\": [\"Record\", \"Text\"],\n \"info\": \"Text or Record to be passed as output.\",\n },\n \"record_template\": {\n \"display_name\": \"Record Template\",\n \"multiline\": True,\n \"info\": \"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n \"advanced\": True,\n },\n }\n\n def build(self, input_value: Optional[Text] = \"\", record_template: str = \"\") -> Text:\n return super().build(input_value=input_value, record_template=record_template)\n",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "code",
- "advanced": true,
- "dynamic": true,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "record_template": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "record_template",
- "display_name": "Record Template",
- "advanced": true,
- "dynamic": false,
- "info": "Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "_type": "CustomComponent"
- },
- "description": "Display a text output in the Playground.",
- "icon": "type",
- "base_classes": [
- "str",
- "Text",
- "object"
- ],
- "display_name": "First Prompt",
- "documentation": "",
- "custom_fields": {
- "input_value": null,
- "record_template": null
- },
- "output_types": [
- "Text"
- ],
- "field_formatters": {},
- "frozen": false,
- "field_order": [],
- "beta": false
- },
- "id": "TextOutput-2MS4a"
- },
- "selected": false,
- "width": 384,
- "height": 290,
- "positionAbsolute": {
- "x": 2917.216113690115,
- "y": 513.0058511435552
- },
- "dragging": false
+ "description": "Display a chat message in the Playground.",
+ "icon": "ChatOutput",
+ "base_classes": ["object", "Record", "Text", "str"],
+ "display_name": "Chat Output",
+ "documentation": "",
+ "custom_fields": {
+ "sender": null,
+ "sender_name": null,
+ "input_value": null,
+ "session_id": null,
+ "return_record": null,
+ "record_template": null
},
- {
- "id": "OpenAIModel-uYXZJ",
- "type": "genericNode",
- "position": {
- "x": 2925.784767523062,
- "y": 933.6465680967775
- },
- "data": {
- "type": "OpenAIModel",
- "node": {
- "template": {
- "input_value": {
- "type": "str",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "input_value",
- "display_name": "Input",
- "advanced": false,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "code": {
- "type": "code",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\"},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n \"info\": \"The maximum number of tokens to generate. Set to 0 for unlimited tokens.\",\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": MODEL_NAMES,\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float,\n model_name: str = \"gpt-4o\",\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens or None,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "code",
- "advanced": true,
- "dynamic": true,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "max_tokens": {
- "type": "int",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": 256,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "max_tokens",
- "display_name": "Max Tokens",
- "advanced": true,
- "dynamic": false,
- "info": "The maximum number of tokens to generate. Set to 0 for unlimited tokens.",
- "load_from_db": false,
- "title_case": false
- },
- "model_kwargs": {
- "type": "NestedDict",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": {},
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "model_kwargs",
- "display_name": "Model Kwargs",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "model_name": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": true,
- "show": true,
- "multiline": false,
- "value": "gpt-4-turbo-preview",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "options": [
- "gpt-4o",
- "gpt-4-turbo",
- "gpt-4-turbo-preview",
- "gpt-3.5-turbo",
- "gpt-3.5-turbo-0125"
- ],
- "name": "model_name",
- "display_name": "Model Name",
- "advanced": false,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "openai_api_base": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "openai_api_base",
- "display_name": "OpenAI API Base",
- "advanced": true,
- "dynamic": false,
- "info": "The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\n\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "openai_api_key": {
- "type": "str",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": true,
- "name": "openai_api_key",
- "display_name": "OpenAI API Key",
- "advanced": false,
- "dynamic": false,
- "info": "The OpenAI API Key to use for the OpenAI model.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ],
- "value": "OPENAI_API_KEY"
- },
- "stream": {
- "type": "bool",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "stream",
- "display_name": "Stream",
- "advanced": true,
- "dynamic": false,
- "info": "Stream the response from the model. Streaming works only in Chat.",
- "load_from_db": false,
- "title_case": false
- },
- "system_message": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "system_message",
- "display_name": "System Message",
- "advanced": true,
- "dynamic": false,
- "info": "System message to pass to the model.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "temperature": {
- "type": "float",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": 0.1,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "temperature",
- "display_name": "Temperature",
- "advanced": false,
- "dynamic": false,
- "info": "",
- "rangeSpec": {
- "step_type": "float",
- "min": -1,
- "max": 1,
- "step": 0.1
- },
- "load_from_db": false,
- "title_case": false
- },
- "_type": "CustomComponent"
- },
- "description": "Generates text using OpenAI LLMs.",
- "icon": "OpenAI",
- "base_classes": [
- "str",
- "Text",
- "object"
- ],
- "display_name": "OpenAI",
- "documentation": "",
- "custom_fields": {
- "input_value": null,
- "openai_api_key": null,
- "temperature": null,
- "model_name": null,
- "max_tokens": null,
- "model_kwargs": null,
- "openai_api_base": null,
- "stream": null,
- "system_message": null
- },
- "output_types": [
- "Text"
- ],
- "field_formatters": {},
- "frozen": false,
- "field_order": [
- "max_tokens",
- "model_kwargs",
- "model_name",
- "openai_api_base",
- "openai_api_key",
- "temperature",
- "input_value",
- "system_message",
- "stream"
- ],
- "beta": false
- },
- "id": "OpenAIModel-uYXZJ"
- },
- "selected": false,
- "width": 384,
- "height": 565,
- "positionAbsolute": {
- "x": 2925.784767523062,
- "y": 933.6465680967775
- },
- "dragging": false
+ "output_types": ["Text", "Record"],
+ "field_formatters": {},
+ "frozen": false,
+ "field_order": [],
+ "beta": false
+ },
+ "id": "ChatOutput-EJkG3"
+ },
+ "selected": false,
+ "width": 384,
+ "height": 385,
+ "dragging": false
+ },
+ {
+ "id": "ChatOutput-DNmvg",
+ "type": "genericNode",
+ "position": {
+ "x": 5077.71285886074,
+ "y": 1232.9152769735522
+ },
+ "data": {
+ "type": "ChatOutput",
+ "node": {
+ "template": {
+ "code": {
+ "type": "code",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n record_template: Optional[str] = \"{text}\",\n ) -> Union[Text, Record]:\n return super().build_with_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n record_template=record_template or \"\",\n )\n",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "code",
+ "advanced": true,
+ "dynamic": true,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "input_value": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "input_value",
+ "display_name": "Message",
+ "advanced": false,
+ "input_types": ["Text"],
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "record_template": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "{text}",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "record_template",
+ "display_name": "Record Template",
+ "advanced": true,
+ "dynamic": false,
+ "info": "In case of Message being a Record, this template will be used to convert it to text.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "return_record": {
+ "type": "bool",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "return_record",
+ "display_name": "Return Record",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Return the message as a record containing the sender, sender_name, and session_id.",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "sender": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": true,
+ "show": true,
+ "multiline": false,
+ "value": "Machine",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "options": ["Machine", "User"],
+ "name": "sender",
+ "display_name": "Sender Type",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "sender_name": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": "Question Generator",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "sender_name",
+ "display_name": "Sender Name",
+ "advanced": false,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "session_id": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "session_id",
+ "display_name": "Session ID",
+ "advanced": true,
+ "dynamic": false,
+ "info": "If provided, the message will be stored in the memory.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "_type": "CustomComponent"
},
- {
- "id": "TextOutput-MUDOR",
- "type": "genericNode",
- "position": {
- "x": 4446.064323520379,
- "y": 633.833297518702
- },
- "data": {
- "type": "TextOutput",
- "node": {
- "template": {
- "input_value": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": "",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "input_value",
- "display_name": "Value",
- "advanced": false,
- "input_types": [
- "Record",
- "Text"
- ],
- "dynamic": false,
- "info": "Text or Record to be passed as output.",
- "load_from_db": false,
- "title_case": false
- },
- "code": {
- "type": "code",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "from typing import Optional\n\nfrom langflow.base.io.text import TextComponent\nfrom langflow.field_typing import Text\n\n\nclass TextOutput(TextComponent):\n display_name = \"Text Output\"\n description = \"Display a text output in the Playground.\"\n icon = \"type\"\n\n def build_config(self):\n return {\n \"input_value\": {\n \"display_name\": \"Value\",\n \"input_types\": [\"Record\", \"Text\"],\n \"info\": \"Text or Record to be passed as output.\",\n },\n \"record_template\": {\n \"display_name\": \"Record Template\",\n \"multiline\": True,\n \"info\": \"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n \"advanced\": True,\n },\n }\n\n def build(self, input_value: Optional[Text] = \"\", record_template: str = \"\") -> Text:\n return super().build(input_value=input_value, record_template=record_template)\n",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "code",
- "advanced": true,
- "dynamic": true,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "record_template": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "record_template",
- "display_name": "Record Template",
- "advanced": true,
- "dynamic": false,
- "info": "Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "_type": "CustomComponent"
- },
- "description": "Display a text output in the Playground.",
- "icon": "type",
- "base_classes": [
- "str",
- "Text",
- "object"
- ],
- "display_name": "Second Prompt",
- "documentation": "",
- "custom_fields": {
- "input_value": null,
- "record_template": null
- },
- "output_types": [
- "Text"
- ],
- "field_formatters": {},
- "frozen": false,
- "field_order": [],
- "beta": false
- },
- "id": "TextOutput-MUDOR"
- },
- "selected": false,
- "width": 384,
- "height": 290,
- "dragging": false,
- "positionAbsolute": {
- "x": 4446.064323520379,
- "y": 633.833297518702
- }
+ "description": "Display a chat message in the Playground.",
+ "icon": "ChatOutput",
+ "base_classes": ["object", "Record", "Text", "str"],
+ "display_name": "Chat Output",
+ "documentation": "",
+ "custom_fields": {
+ "sender": null,
+ "sender_name": null,
+ "input_value": null,
+ "session_id": null,
+ "return_record": null,
+ "record_template": null
},
- {
- "id": "OpenAIModel-XawYB",
- "type": "genericNode",
- "position": {
- "x": 4500.152018344182,
- "y": 1027.7382026227656
- },
- "data": {
- "type": "OpenAIModel",
- "node": {
- "template": {
- "input_value": {
- "type": "str",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "input_value",
- "display_name": "Input",
- "advanced": false,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "code": {
- "type": "code",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\"},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n \"info\": \"The maximum number of tokens to generate. Set to 0 for unlimited tokens.\",\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": MODEL_NAMES,\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float,\n model_name: str = \"gpt-4o\",\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens or None,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "code",
- "advanced": true,
- "dynamic": true,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "max_tokens": {
- "type": "int",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": 256,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "max_tokens",
- "display_name": "Max Tokens",
- "advanced": true,
- "dynamic": false,
- "info": "The maximum number of tokens to generate. Set to 0 for unlimited tokens.",
- "load_from_db": false,
- "title_case": false
- },
- "model_kwargs": {
- "type": "NestedDict",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": {},
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "model_kwargs",
- "display_name": "Model Kwargs",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "model_name": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": true,
- "show": true,
- "multiline": false,
- "value": "gpt-4-turbo-preview",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "options": [
- "gpt-4o",
- "gpt-4-turbo",
- "gpt-4-turbo-preview",
- "gpt-3.5-turbo",
- "gpt-3.5-turbo-0125"
- ],
- "name": "model_name",
- "display_name": "Model Name",
- "advanced": false,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "openai_api_base": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "openai_api_base",
- "display_name": "OpenAI API Base",
- "advanced": true,
- "dynamic": false,
- "info": "The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\n\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "openai_api_key": {
- "type": "str",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": true,
- "name": "openai_api_key",
- "display_name": "OpenAI API Key",
- "advanced": false,
- "dynamic": false,
- "info": "The OpenAI API Key to use for the OpenAI model.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ],
- "value": ""
- },
- "stream": {
- "type": "bool",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "stream",
- "display_name": "Stream",
- "advanced": true,
- "dynamic": false,
- "info": "Stream the response from the model. Streaming works only in Chat.",
- "load_from_db": false,
- "title_case": false
- },
- "system_message": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "system_message",
- "display_name": "System Message",
- "advanced": true,
- "dynamic": false,
- "info": "System message to pass to the model.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "temperature": {
- "type": "float",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": 0.1,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "temperature",
- "display_name": "Temperature",
- "advanced": false,
- "dynamic": false,
- "info": "",
- "rangeSpec": {
- "step_type": "float",
- "min": -1,
- "max": 1,
- "step": 0.1
- },
- "load_from_db": false,
- "title_case": false
- },
- "_type": "CustomComponent"
- },
- "description": "Generates text using OpenAI LLMs.",
- "icon": "OpenAI",
- "base_classes": [
- "str",
- "Text",
- "object"
- ],
- "display_name": "OpenAI",
- "documentation": "",
- "custom_fields": {
- "input_value": null,
- "openai_api_key": null,
- "temperature": null,
- "model_name": null,
- "max_tokens": null,
- "model_kwargs": null,
- "openai_api_base": null,
- "stream": null,
- "system_message": null
- },
- "output_types": [
- "Text"
- ],
- "field_formatters": {},
- "frozen": false,
- "field_order": [
- "max_tokens",
- "model_kwargs",
- "model_name",
- "openai_api_base",
- "openai_api_key",
- "temperature",
- "input_value",
- "system_message",
- "stream"
- ],
- "beta": false
- },
- "id": "OpenAIModel-XawYB"
- },
- "selected": false,
- "width": 384,
- "height": 565,
- "positionAbsolute": {
- "x": 4500.152018344182,
- "y": 1027.7382026227656
- },
- "dragging": false
- }
- ],
- "edges": [
- {
- "source": "TextInput-sptaH",
- "sourceHandle": "{\u0153baseClasses\u0153:[\u0153str\u0153,\u0153Text\u0153,\u0153object\u0153],\u0153dataType\u0153:\u0153TextInput\u0153,\u0153id\u0153:\u0153TextInput-sptaH\u0153}",
- "target": "Prompt-amqBu",
- "targetHandle": "{\u0153fieldName\u0153:\u0153document\u0153,\u0153id\u0153:\u0153Prompt-amqBu\u0153,\u0153inputTypes\u0153:[\u0153Document\u0153,\u0153BaseOutputParser\u0153,\u0153Record\u0153,\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}",
- "data": {
- "targetHandle": {
- "fieldName": "document",
- "id": "Prompt-amqBu",
- "inputTypes": [
- "Document",
- "BaseOutputParser",
- "Record",
- "Text"
- ],
- "type": "str"
- },
- "sourceHandle": {
- "baseClasses": [
- "str",
- "Text",
- "object"
- ],
- "dataType": "TextInput",
- "id": "TextInput-sptaH"
- }
- },
- "style": {
- "stroke": "#555"
- },
- "className": "stroke-gray-900 stroke-connection",
- "id": "reactflow__edge-TextInput-sptaH{\u0153baseClasses\u0153:[\u0153str\u0153,\u0153Text\u0153,\u0153object\u0153],\u0153dataType\u0153:\u0153TextInput\u0153,\u0153id\u0153:\u0153TextInput-sptaH\u0153}-Prompt-amqBu{\u0153fieldName\u0153:\u0153document\u0153,\u0153id\u0153:\u0153Prompt-amqBu\u0153,\u0153inputTypes\u0153:[\u0153Document\u0153,\u0153BaseOutputParser\u0153,\u0153Record\u0153,\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}"
+ "output_types": ["Text", "Record"],
+ "field_formatters": {},
+ "frozen": false,
+ "field_order": [],
+ "beta": false
+ },
+ "id": "ChatOutput-DNmvg"
+ },
+ "selected": false,
+ "width": 384,
+ "height": 385
+ },
+ {
+ "id": "TextInput-sptaH",
+ "type": "genericNode",
+ "position": {
+ "x": 1700.5624822024752,
+ "y": 1039.603088937466
+ },
+ "data": {
+ "type": "TextInput",
+ "node": {
+ "template": {
+ "code": {
+ "type": "code",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "from typing import Optional\n\nfrom langflow.base.io.text import TextComponent\nfrom langflow.field_typing import Text\n\n\nclass TextInput(TextComponent):\n display_name = \"Text Input\"\n description = \"Get text inputs from the Playground.\"\n icon = \"type\"\n\n def build_config(self):\n return {\n \"input_value\": {\n \"display_name\": \"Value\",\n \"input_types\": [\"Record\", \"Text\"],\n \"info\": \"Text or Record to be passed as input.\",\n },\n \"record_template\": {\n \"display_name\": \"Record Template\",\n \"multiline\": True,\n \"info\": \"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Optional[Text] = \"\",\n record_template: Optional[str] = \"\",\n ) -> Text:\n return super().build(input_value=input_value, record_template=record_template)\n",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "code",
+ "advanced": true,
+ "dynamic": true,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "input_value": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": "Revolutionary Nano-Battery Technology Unveiled In a groundbreaking announcement yesterday, researchers from the fictional Tech Innovations Institute revealed the development of a new nano-battery technology that promises to revolutionize energy storage. The new battery, dubbed the \"EnerGCell\", uses advanced nanomaterials to achieve unprecedented efficiency and storage capacities. According to lead researcher Dr. Ada Byron, the EnerGCell can store up to ten times more energy than the best lithium-ion batteries available today, while charging in just a fraction of the time. \"We're talking about charging your electric vehicle in just five minutes for a range of over 1,000 miles,\" Dr. Byron stated during the press conference. The technology behind the EnerGCell involves a complex arrangement of nanostructured electrodes that allow for rapid ion transfer and extremely high energy density. This breakthrough was achieved after a decade of research into nanomaterials and their applications in energy storage. The implications of this technology are vast, promising to accelerate the adoption of renewable energy by making it more practical and affordable to store wind and solar power. It could also lead to significant advancements in electric vehicles, mobile devices, and any other technology that relies on batteries. Despite the excitement, some experts are calling for patience, noting that the EnerGCell is still in its early stages of development and may take several years before it's commercially available. However, the potential impact of such a technology on the environment and the global economy is undeniable. Tech Innovations Institute plans to continue refining the EnerGCell and begin pilot projects with select partners in the coming year. If successful, this nano-battery technology could indeed be the breakthrough needed to usher in a new era of clean energy and technology.",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "input_value",
+ "display_name": "Value",
+ "advanced": false,
+ "input_types": ["Record", "Text"],
+ "dynamic": false,
+ "info": "Text or Record to be passed as input.",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "record_template": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "record_template",
+ "display_name": "Record Template",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "_type": "CustomComponent"
},
- {
- "source": "Prompt-amqBu",
- "sourceHandle": "{\u0153baseClasses\u0153:[\u0153object\u0153,\u0153str\u0153,\u0153Text\u0153],\u0153dataType\u0153:\u0153Prompt\u0153,\u0153id\u0153:\u0153Prompt-amqBu\u0153}",
- "target": "TextOutput-2MS4a",
- "targetHandle": "{\u0153fieldName\u0153:\u0153input_value\u0153,\u0153id\u0153:\u0153TextOutput-2MS4a\u0153,\u0153inputTypes\u0153:[\u0153Record\u0153,\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}",
- "data": {
- "targetHandle": {
- "fieldName": "input_value",
- "id": "TextOutput-2MS4a",
- "inputTypes": [
- "Record",
- "Text"
- ],
- "type": "str"
- },
- "sourceHandle": {
- "baseClasses": [
- "object",
- "str",
- "Text"
- ],
- "dataType": "Prompt",
- "id": "Prompt-amqBu"
- }
- },
- "style": {
- "stroke": "#555"
- },
- "className": "stroke-gray-900 stroke-connection",
- "id": "reactflow__edge-Prompt-amqBu{\u0153baseClasses\u0153:[\u0153object\u0153,\u0153str\u0153,\u0153Text\u0153],\u0153dataType\u0153:\u0153Prompt\u0153,\u0153id\u0153:\u0153Prompt-amqBu\u0153}-TextOutput-2MS4a{\u0153fieldName\u0153:\u0153input_value\u0153,\u0153id\u0153:\u0153TextOutput-2MS4a\u0153,\u0153inputTypes\u0153:[\u0153Record\u0153,\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}"
+ "description": "Get text inputs from the Playground.",
+ "icon": "type",
+ "base_classes": ["str", "Text", "object"],
+ "display_name": "Text Input",
+ "documentation": "",
+ "custom_fields": {
+ "input_value": null,
+ "record_template": null
},
- {
- "source": "Prompt-amqBu",
- "sourceHandle": "{\u0153baseClasses\u0153:[\u0153object\u0153,\u0153str\u0153,\u0153Text\u0153],\u0153dataType\u0153:\u0153Prompt\u0153,\u0153id\u0153:\u0153Prompt-amqBu\u0153}",
- "target": "OpenAIModel-uYXZJ",
- "targetHandle": "{\u0153fieldName\u0153:\u0153input_value\u0153,\u0153id\u0153:\u0153OpenAIModel-uYXZJ\u0153,\u0153inputTypes\u0153:[\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}",
- "data": {
- "targetHandle": {
- "fieldName": "input_value",
- "id": "OpenAIModel-uYXZJ",
- "inputTypes": [
- "Text"
- ],
- "type": "str"
- },
- "sourceHandle": {
- "baseClasses": [
- "object",
- "str",
- "Text"
- ],
- "dataType": "Prompt",
- "id": "Prompt-amqBu"
- }
- },
- "style": {
- "stroke": "#555"
- },
- "className": "stroke-gray-900 stroke-connection",
- "id": "reactflow__edge-Prompt-amqBu{\u0153baseClasses\u0153:[\u0153object\u0153,\u0153str\u0153,\u0153Text\u0153],\u0153dataType\u0153:\u0153Prompt\u0153,\u0153id\u0153:\u0153Prompt-amqBu\u0153}-OpenAIModel-uYXZJ{\u0153fieldName\u0153:\u0153input_value\u0153,\u0153id\u0153:\u0153OpenAIModel-uYXZJ\u0153,\u0153inputTypes\u0153:[\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}"
+ "output_types": ["Text"],
+ "field_formatters": {},
+ "frozen": false,
+ "field_order": [],
+ "beta": false
+ },
+ "id": "TextInput-sptaH"
+ },
+ "selected": false,
+ "width": 384,
+ "height": 290,
+ "positionAbsolute": {
+ "x": 1700.5624822024752,
+ "y": 1039.603088937466
+ },
+ "dragging": false
+ },
+ {
+ "id": "TextOutput-2MS4a",
+ "type": "genericNode",
+ "position": {
+ "x": 2917.216113690115,
+ "y": 513.0058511435552
+ },
+ "data": {
+ "type": "TextOutput",
+ "node": {
+ "template": {
+ "input_value": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": "",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "input_value",
+ "display_name": "Value",
+ "advanced": false,
+ "input_types": ["Record", "Text"],
+ "dynamic": false,
+ "info": "Text or Record to be passed as output.",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "code": {
+ "type": "code",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "from typing import Optional\n\nfrom langflow.base.io.text import TextComponent\nfrom langflow.field_typing import Text\n\n\nclass TextOutput(TextComponent):\n display_name = \"Text Output\"\n description = \"Display a text output in the Playground.\"\n icon = \"type\"\n\n def build_config(self):\n return {\n \"input_value\": {\n \"display_name\": \"Value\",\n \"input_types\": [\"Record\", \"Text\"],\n \"info\": \"Text or Record to be passed as output.\",\n },\n \"record_template\": {\n \"display_name\": \"Record Template\",\n \"multiline\": True,\n \"info\": \"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n \"advanced\": True,\n },\n }\n\n def build(self, input_value: Optional[Text] = \"\", record_template: str = \"\") -> Text:\n return super().build(input_value=input_value, record_template=record_template)\n",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "code",
+ "advanced": true,
+ "dynamic": true,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "record_template": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "record_template",
+ "display_name": "Record Template",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "_type": "CustomComponent"
},
- {
- "source": "OpenAIModel-uYXZJ",
- "sourceHandle": "{\u0153baseClasses\u0153:[\u0153str\u0153,\u0153Text\u0153,\u0153object\u0153],\u0153dataType\u0153:\u0153OpenAIModel\u0153,\u0153id\u0153:\u0153OpenAIModel-uYXZJ\u0153}",
- "target": "Prompt-gTNiz",
- "targetHandle": "{\u0153fieldName\u0153:\u0153summary\u0153,\u0153id\u0153:\u0153Prompt-gTNiz\u0153,\u0153inputTypes\u0153:[\u0153Document\u0153,\u0153BaseOutputParser\u0153,\u0153Record\u0153,\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}",
- "data": {
- "targetHandle": {
- "fieldName": "summary",
- "id": "Prompt-gTNiz",
- "inputTypes": [
- "Document",
- "BaseOutputParser",
- "Record",
- "Text"
- ],
- "type": "str"
- },
- "sourceHandle": {
- "baseClasses": [
- "str",
- "Text",
- "object"
- ],
- "dataType": "OpenAIModel",
- "id": "OpenAIModel-uYXZJ"
- }
- },
- "style": {
- "stroke": "#555"
- },
- "className": "stroke-gray-900 stroke-connection",
- "id": "reactflow__edge-OpenAIModel-uYXZJ{\u0153baseClasses\u0153:[\u0153str\u0153,\u0153Text\u0153,\u0153object\u0153],\u0153dataType\u0153:\u0153OpenAIModel\u0153,\u0153id\u0153:\u0153OpenAIModel-uYXZJ\u0153}-Prompt-gTNiz{\u0153fieldName\u0153:\u0153summary\u0153,\u0153id\u0153:\u0153Prompt-gTNiz\u0153,\u0153inputTypes\u0153:[\u0153Document\u0153,\u0153BaseOutputParser\u0153,\u0153Record\u0153,\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}"
+ "description": "Display a text output in the Playground.",
+ "icon": "type",
+ "base_classes": ["str", "Text", "object"],
+ "display_name": "First Prompt",
+ "documentation": "",
+ "custom_fields": {
+ "input_value": null,
+ "record_template": null
},
- {
- "source": "OpenAIModel-uYXZJ",
- "sourceHandle": "{\u0153baseClasses\u0153:[\u0153str\u0153,\u0153Text\u0153,\u0153object\u0153],\u0153dataType\u0153:\u0153OpenAIModel\u0153,\u0153id\u0153:\u0153OpenAIModel-uYXZJ\u0153}",
- "target": "ChatOutput-EJkG3",
- "targetHandle": "{\u0153fieldName\u0153:\u0153input_value\u0153,\u0153id\u0153:\u0153ChatOutput-EJkG3\u0153,\u0153inputTypes\u0153:[\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}",
- "data": {
- "targetHandle": {
- "fieldName": "input_value",
- "id": "ChatOutput-EJkG3",
- "inputTypes": [
- "Text"
- ],
- "type": "str"
- },
- "sourceHandle": {
- "baseClasses": [
- "str",
- "Text",
- "object"
- ],
- "dataType": "OpenAIModel",
- "id": "OpenAIModel-uYXZJ"
- }
+ "output_types": ["Text"],
+ "field_formatters": {},
+ "frozen": false,
+ "field_order": [],
+ "beta": false
+ },
+ "id": "TextOutput-2MS4a"
+ },
+ "selected": false,
+ "width": 384,
+ "height": 290,
+ "positionAbsolute": {
+ "x": 2917.216113690115,
+ "y": 513.0058511435552
+ },
+ "dragging": false
+ },
+ {
+ "id": "OpenAIModel-uYXZJ",
+ "type": "genericNode",
+ "position": {
+ "x": 2925.784767523062,
+ "y": 933.6465680967775
+ },
+ "data": {
+ "type": "OpenAIModel",
+ "node": {
+ "template": {
+ "input_value": {
+ "type": "str",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "input_value",
+ "display_name": "Input",
+ "advanced": false,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "code": {
+ "type": "code",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\"},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n \"info\": \"The maximum number of tokens to generate. Set to 0 for unlimited tokens.\",\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": MODEL_NAMES,\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float = 0.1,\n model_name: str = \"gpt-4o\",\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens or None,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "code",
+ "advanced": true,
+ "dynamic": true,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "max_tokens": {
+ "type": "int",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": 256,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "max_tokens",
+ "display_name": "Max Tokens",
+ "advanced": true,
+ "dynamic": false,
+ "info": "The maximum number of tokens to generate. Set to 0 for unlimited tokens.",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "model_kwargs": {
+ "type": "NestedDict",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": {},
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "model_kwargs",
+ "display_name": "Model Kwargs",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "model_name": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": true,
+ "show": true,
+ "multiline": false,
+ "value": "gpt-4-turbo-preview",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "options": [
+ "gpt-4o",
+ "gpt-4-turbo",
+ "gpt-4-turbo-preview",
+ "gpt-3.5-turbo",
+ "gpt-3.5-turbo-0125"
+ ],
+ "name": "model_name",
+ "display_name": "Model Name",
+ "advanced": false,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "openai_api_base": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "openai_api_base",
+ "display_name": "OpenAI API Base",
+ "advanced": true,
+ "dynamic": false,
+ "info": "The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\n\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "openai_api_key": {
+ "type": "str",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": true,
+ "name": "openai_api_key",
+ "display_name": "OpenAI API Key",
+ "advanced": false,
+ "dynamic": false,
+ "info": "The OpenAI API Key to use for the OpenAI model.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"],
+ "value": "OPENAI_API_KEY"
+ },
+ "stream": {
+ "type": "bool",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "stream",
+ "display_name": "Stream",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Stream the response from the model. Streaming works only in Chat.",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "system_message": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "system_message",
+ "display_name": "System Message",
+ "advanced": true,
+ "dynamic": false,
+ "info": "System message to pass to the model.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "temperature": {
+ "type": "float",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": 0.1,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "temperature",
+ "display_name": "Temperature",
+ "advanced": false,
+ "dynamic": false,
+ "info": "",
+ "rangeSpec": {
+ "step_type": "float",
+ "min": -1,
+ "max": 1,
+ "step": 0.1
},
- "style": {
- "stroke": "#555"
- },
- "className": "stroke-gray-900 stroke-connection",
- "id": "reactflow__edge-OpenAIModel-uYXZJ{\u0153baseClasses\u0153:[\u0153str\u0153,\u0153Text\u0153,\u0153object\u0153],\u0153dataType\u0153:\u0153OpenAIModel\u0153,\u0153id\u0153:\u0153OpenAIModel-uYXZJ\u0153}-ChatOutput-EJkG3{\u0153fieldName\u0153:\u0153input_value\u0153,\u0153id\u0153:\u0153ChatOutput-EJkG3\u0153,\u0153inputTypes\u0153:[\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}"
+ "load_from_db": false,
+ "title_case": false
+ },
+ "_type": "CustomComponent"
},
- {
- "source": "Prompt-gTNiz",
- "sourceHandle": "{\u0153baseClasses\u0153:[\u0153object\u0153,\u0153str\u0153,\u0153Text\u0153],\u0153dataType\u0153:\u0153Prompt\u0153,\u0153id\u0153:\u0153Prompt-gTNiz\u0153}",
- "target": "TextOutput-MUDOR",
- "targetHandle": "{\u0153fieldName\u0153:\u0153input_value\u0153,\u0153id\u0153:\u0153TextOutput-MUDOR\u0153,\u0153inputTypes\u0153:[\u0153Record\u0153,\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}",
- "data": {
- "targetHandle": {
- "fieldName": "input_value",
- "id": "TextOutput-MUDOR",
- "inputTypes": [
- "Record",
- "Text"
- ],
- "type": "str"
- },
- "sourceHandle": {
- "baseClasses": [
- "object",
- "str",
- "Text"
- ],
- "dataType": "Prompt",
- "id": "Prompt-gTNiz"
- }
- },
- "style": {
- "stroke": "#555"
- },
- "className": "stroke-gray-900 stroke-connection",
- "id": "reactflow__edge-Prompt-gTNiz{\u0153baseClasses\u0153:[\u0153object\u0153,\u0153str\u0153,\u0153Text\u0153],\u0153dataType\u0153:\u0153Prompt\u0153,\u0153id\u0153:\u0153Prompt-gTNiz\u0153}-TextOutput-MUDOR{\u0153fieldName\u0153:\u0153input_value\u0153,\u0153id\u0153:\u0153TextOutput-MUDOR\u0153,\u0153inputTypes\u0153:[\u0153Record\u0153,\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}"
+ "description": "Generates text using OpenAI LLMs.",
+ "icon": "OpenAI",
+ "base_classes": ["str", "Text", "object"],
+ "display_name": "OpenAI",
+ "documentation": "",
+ "custom_fields": {
+ "input_value": null,
+ "openai_api_key": null,
+ "temperature": null,
+ "model_name": null,
+ "max_tokens": null,
+ "model_kwargs": null,
+ "openai_api_base": null,
+ "stream": null,
+ "system_message": null
},
- {
- "source": "Prompt-gTNiz",
- "sourceHandle": "{\u0153baseClasses\u0153:[\u0153object\u0153,\u0153str\u0153,\u0153Text\u0153],\u0153dataType\u0153:\u0153Prompt\u0153,\u0153id\u0153:\u0153Prompt-gTNiz\u0153}",
- "target": "OpenAIModel-XawYB",
- "targetHandle": "{\u0153fieldName\u0153:\u0153input_value\u0153,\u0153id\u0153:\u0153OpenAIModel-XawYB\u0153,\u0153inputTypes\u0153:[\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}",
- "data": {
- "targetHandle": {
- "fieldName": "input_value",
- "id": "OpenAIModel-XawYB",
- "inputTypes": [
- "Text"
- ],
- "type": "str"
- },
- "sourceHandle": {
- "baseClasses": [
- "object",
- "str",
- "Text"
- ],
- "dataType": "Prompt",
- "id": "Prompt-gTNiz"
- }
- },
- "style": {
- "stroke": "#555"
- },
- "className": "stroke-gray-900 stroke-connection",
- "id": "reactflow__edge-Prompt-gTNiz{\u0153baseClasses\u0153:[\u0153object\u0153,\u0153str\u0153,\u0153Text\u0153],\u0153dataType\u0153:\u0153Prompt\u0153,\u0153id\u0153:\u0153Prompt-gTNiz\u0153}-OpenAIModel-XawYB{\u0153fieldName\u0153:\u0153input_value\u0153,\u0153id\u0153:\u0153OpenAIModel-XawYB\u0153,\u0153inputTypes\u0153:[\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}"
+ "output_types": ["Text"],
+ "field_formatters": {},
+ "frozen": false,
+ "field_order": [
+ "max_tokens",
+ "model_kwargs",
+ "model_name",
+ "openai_api_base",
+ "openai_api_key",
+ "temperature",
+ "input_value",
+ "system_message",
+ "stream"
+ ],
+ "beta": false
+ },
+ "id": "OpenAIModel-uYXZJ"
+ },
+ "selected": false,
+ "width": 384,
+ "height": 565,
+ "positionAbsolute": {
+ "x": 2925.784767523062,
+ "y": 933.6465680967775
+ },
+ "dragging": false
+ },
+ {
+ "id": "TextOutput-MUDOR",
+ "type": "genericNode",
+ "position": {
+ "x": 4446.064323520379,
+ "y": 633.833297518702
+ },
+ "data": {
+ "type": "TextOutput",
+ "node": {
+ "template": {
+ "input_value": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": "",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "input_value",
+ "display_name": "Value",
+ "advanced": false,
+ "input_types": ["Record", "Text"],
+ "dynamic": false,
+ "info": "Text or Record to be passed as output.",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "code": {
+ "type": "code",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "from typing import Optional\n\nfrom langflow.base.io.text import TextComponent\nfrom langflow.field_typing import Text\n\n\nclass TextOutput(TextComponent):\n display_name = \"Text Output\"\n description = \"Display a text output in the Playground.\"\n icon = \"type\"\n\n def build_config(self):\n return {\n \"input_value\": {\n \"display_name\": \"Value\",\n \"input_types\": [\"Record\", \"Text\"],\n \"info\": \"Text or Record to be passed as output.\",\n },\n \"record_template\": {\n \"display_name\": \"Record Template\",\n \"multiline\": True,\n \"info\": \"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n \"advanced\": True,\n },\n }\n\n def build(self, input_value: Optional[Text] = \"\", record_template: str = \"\") -> Text:\n return super().build(input_value=input_value, record_template=record_template)\n",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "code",
+ "advanced": true,
+ "dynamic": true,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "record_template": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "record_template",
+ "display_name": "Record Template",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "_type": "CustomComponent"
},
- {
- "source": "OpenAIModel-XawYB",
- "sourceHandle": "{\u0153baseClasses\u0153:[\u0153str\u0153,\u0153Text\u0153,\u0153object\u0153],\u0153dataType\u0153:\u0153OpenAIModel\u0153,\u0153id\u0153:\u0153OpenAIModel-XawYB\u0153}",
- "target": "ChatOutput-DNmvg",
- "targetHandle": "{\u0153fieldName\u0153:\u0153input_value\u0153,\u0153id\u0153:\u0153ChatOutput-DNmvg\u0153,\u0153inputTypes\u0153:[\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}",
- "data": {
- "targetHandle": {
- "fieldName": "input_value",
- "id": "ChatOutput-DNmvg",
- "inputTypes": [
- "Text"
- ],
- "type": "str"
- },
- "sourceHandle": {
- "baseClasses": [
- "str",
- "Text",
- "object"
- ],
- "dataType": "OpenAIModel",
- "id": "OpenAIModel-XawYB"
- }
- },
- "style": {
- "stroke": "#555"
- },
- "className": "stroke-gray-900 stroke-connection",
- "id": "reactflow__edge-OpenAIModel-XawYB{\u0153baseClasses\u0153:[\u0153str\u0153,\u0153Text\u0153,\u0153object\u0153],\u0153dataType\u0153:\u0153OpenAIModel\u0153,\u0153id\u0153:\u0153OpenAIModel-XawYB\u0153}-ChatOutput-DNmvg{\u0153fieldName\u0153:\u0153input_value\u0153,\u0153id\u0153:\u0153ChatOutput-DNmvg\u0153,\u0153inputTypes\u0153:[\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}"
- }
- ],
- "viewport": {
- "x": -383.7251879618552,
- "y": 69.19813933800037,
- "zoom": 0.3105753483695743
+ "description": "Display a text output in the Playground.",
+ "icon": "type",
+ "base_classes": ["str", "Text", "object"],
+ "display_name": "Second Prompt",
+ "documentation": "",
+ "custom_fields": {
+ "input_value": null,
+ "record_template": null
+ },
+ "output_types": ["Text"],
+ "field_formatters": {},
+ "frozen": false,
+ "field_order": [],
+ "beta": false
+ },
+ "id": "TextOutput-MUDOR"
+ },
+ "selected": false,
+ "width": 384,
+ "height": 290,
+ "dragging": false,
+ "positionAbsolute": {
+ "x": 4446.064323520379,
+ "y": 633.833297518702
}
- },
- "description": "The Prompt Chaining flow chains prompts with LLMs, refining outputs through iterative stages.",
- "name": "Prompt Chaining",
- "last_tested_version": "1.0.0a0",
- "is_component": false
+ },
+ {
+ "id": "OpenAIModel-XawYB",
+ "type": "genericNode",
+ "position": {
+ "x": 4500.152018344182,
+ "y": 1027.7382026227656
+ },
+ "data": {
+ "type": "OpenAIModel",
+ "node": {
+ "template": {
+ "input_value": {
+ "type": "str",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "input_value",
+ "display_name": "Input",
+ "advanced": false,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "code": {
+ "type": "code",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\"},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n \"info\": \"The maximum number of tokens to generate. Set to 0 for unlimited tokens.\",\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": MODEL_NAMES,\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float = 0.1,\n model_name: str = \"gpt-4o\",\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens or None,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "code",
+ "advanced": true,
+ "dynamic": true,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "max_tokens": {
+ "type": "int",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": 256,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "max_tokens",
+ "display_name": "Max Tokens",
+ "advanced": true,
+ "dynamic": false,
+ "info": "The maximum number of tokens to generate. Set to 0 for unlimited tokens.",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "model_kwargs": {
+ "type": "NestedDict",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": {},
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "model_kwargs",
+ "display_name": "Model Kwargs",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "model_name": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": true,
+ "show": true,
+ "multiline": false,
+ "value": "gpt-4-turbo-preview",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "options": [
+ "gpt-4o",
+ "gpt-4-turbo",
+ "gpt-4-turbo-preview",
+ "gpt-3.5-turbo",
+ "gpt-3.5-turbo-0125"
+ ],
+ "name": "model_name",
+ "display_name": "Model Name",
+ "advanced": false,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "openai_api_base": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "openai_api_base",
+ "display_name": "OpenAI API Base",
+ "advanced": true,
+ "dynamic": false,
+ "info": "The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\n\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "openai_api_key": {
+ "type": "str",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": true,
+ "name": "openai_api_key",
+ "display_name": "OpenAI API Key",
+ "advanced": false,
+ "dynamic": false,
+ "info": "The OpenAI API Key to use for the OpenAI model.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"],
+ "value": ""
+ },
+ "stream": {
+ "type": "bool",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "stream",
+ "display_name": "Stream",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Stream the response from the model. Streaming works only in Chat.",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "system_message": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "system_message",
+ "display_name": "System Message",
+ "advanced": true,
+ "dynamic": false,
+ "info": "System message to pass to the model.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "temperature": {
+ "type": "float",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": 0.1,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "temperature",
+ "display_name": "Temperature",
+ "advanced": false,
+ "dynamic": false,
+ "info": "",
+ "rangeSpec": {
+ "step_type": "float",
+ "min": -1,
+ "max": 1,
+ "step": 0.1
+ },
+ "load_from_db": false,
+ "title_case": false
+ },
+ "_type": "CustomComponent"
+ },
+ "description": "Generates text using OpenAI LLMs.",
+ "icon": "OpenAI",
+ "base_classes": ["str", "Text", "object"],
+ "display_name": "OpenAI",
+ "documentation": "",
+ "custom_fields": {
+ "input_value": null,
+ "openai_api_key": null,
+ "temperature": null,
+ "model_name": null,
+ "max_tokens": null,
+ "model_kwargs": null,
+ "openai_api_base": null,
+ "stream": null,
+ "system_message": null
+ },
+ "output_types": ["Text"],
+ "field_formatters": {},
+ "frozen": false,
+ "field_order": [
+ "max_tokens",
+ "model_kwargs",
+ "model_name",
+ "openai_api_base",
+ "openai_api_key",
+ "temperature",
+ "input_value",
+ "system_message",
+ "stream"
+ ],
+ "beta": false
+ },
+ "id": "OpenAIModel-XawYB"
+ },
+ "selected": false,
+ "width": 384,
+ "height": 565,
+ "positionAbsolute": {
+ "x": 4500.152018344182,
+ "y": 1027.7382026227656
+ },
+ "dragging": false
+ }
+ ],
+ "edges": [
+ {
+ "source": "TextInput-sptaH",
+ "sourceHandle": "{œbaseClassesœ:[œstrœ,œTextœ,œobjectœ],œdataTypeœ:œTextInputœ,œidœ:œTextInput-sptaHœ}",
+ "target": "Prompt-amqBu",
+ "targetHandle": "{œfieldNameœ:œdocumentœ,œidœ:œPrompt-amqBuœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}",
+ "data": {
+ "targetHandle": {
+ "fieldName": "document",
+ "id": "Prompt-amqBu",
+ "inputTypes": ["Document", "BaseOutputParser", "Record", "Text"],
+ "type": "str"
+ },
+ "sourceHandle": {
+ "baseClasses": ["str", "Text", "object"],
+ "dataType": "TextInput",
+ "id": "TextInput-sptaH"
+ }
+ },
+ "style": {
+ "stroke": "#555"
+ },
+ "className": "stroke-gray-900 stroke-connection",
+ "id": "reactflow__edge-TextInput-sptaH{œbaseClassesœ:[œstrœ,œTextœ,œobjectœ],œdataTypeœ:œTextInputœ,œidœ:œTextInput-sptaHœ}-Prompt-amqBu{œfieldNameœ:œdocumentœ,œidœ:œPrompt-amqBuœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}"
+ },
+ {
+ "source": "Prompt-amqBu",
+ "sourceHandle": "{œbaseClassesœ:[œobjectœ,œstrœ,œTextœ],œdataTypeœ:œPromptœ,œidœ:œPrompt-amqBuœ}",
+ "target": "TextOutput-2MS4a",
+ "targetHandle": "{œfieldNameœ:œinput_valueœ,œidœ:œTextOutput-2MS4aœ,œinputTypesœ:[œRecordœ,œTextœ],œtypeœ:œstrœ}",
+ "data": {
+ "targetHandle": {
+ "fieldName": "input_value",
+ "id": "TextOutput-2MS4a",
+ "inputTypes": ["Record", "Text"],
+ "type": "str"
+ },
+ "sourceHandle": {
+ "baseClasses": ["object", "str", "Text"],
+ "dataType": "Prompt",
+ "id": "Prompt-amqBu"
+ }
+ },
+ "style": {
+ "stroke": "#555"
+ },
+ "className": "stroke-gray-900 stroke-connection",
+ "id": "reactflow__edge-Prompt-amqBu{œbaseClassesœ:[œobjectœ,œstrœ,œTextœ],œdataTypeœ:œPromptœ,œidœ:œPrompt-amqBuœ}-TextOutput-2MS4a{œfieldNameœ:œinput_valueœ,œidœ:œTextOutput-2MS4aœ,œinputTypesœ:[œRecordœ,œTextœ],œtypeœ:œstrœ}"
+ },
+ {
+ "source": "Prompt-amqBu",
+ "sourceHandle": "{œbaseClassesœ:[œobjectœ,œstrœ,œTextœ],œdataTypeœ:œPromptœ,œidœ:œPrompt-amqBuœ}",
+ "target": "OpenAIModel-uYXZJ",
+ "targetHandle": "{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-uYXZJœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}",
+ "data": {
+ "targetHandle": {
+ "fieldName": "input_value",
+ "id": "OpenAIModel-uYXZJ",
+ "inputTypes": ["Text"],
+ "type": "str"
+ },
+ "sourceHandle": {
+ "baseClasses": ["object", "str", "Text"],
+ "dataType": "Prompt",
+ "id": "Prompt-amqBu"
+ }
+ },
+ "style": {
+ "stroke": "#555"
+ },
+ "className": "stroke-gray-900 stroke-connection",
+ "id": "reactflow__edge-Prompt-amqBu{œbaseClassesœ:[œobjectœ,œstrœ,œTextœ],œdataTypeœ:œPromptœ,œidœ:œPrompt-amqBuœ}-OpenAIModel-uYXZJ{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-uYXZJœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}"
+ },
+ {
+ "source": "OpenAIModel-uYXZJ",
+ "sourceHandle": "{œbaseClassesœ:[œstrœ,œTextœ,œobjectœ],œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-uYXZJœ}",
+ "target": "Prompt-gTNiz",
+ "targetHandle": "{œfieldNameœ:œsummaryœ,œidœ:œPrompt-gTNizœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}",
+ "data": {
+ "targetHandle": {
+ "fieldName": "summary",
+ "id": "Prompt-gTNiz",
+ "inputTypes": ["Document", "BaseOutputParser", "Record", "Text"],
+ "type": "str"
+ },
+ "sourceHandle": {
+ "baseClasses": ["str", "Text", "object"],
+ "dataType": "OpenAIModel",
+ "id": "OpenAIModel-uYXZJ"
+ }
+ },
+ "style": {
+ "stroke": "#555"
+ },
+ "className": "stroke-gray-900 stroke-connection",
+ "id": "reactflow__edge-OpenAIModel-uYXZJ{œbaseClassesœ:[œstrœ,œTextœ,œobjectœ],œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-uYXZJœ}-Prompt-gTNiz{œfieldNameœ:œsummaryœ,œidœ:œPrompt-gTNizœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}"
+ },
+ {
+ "source": "OpenAIModel-uYXZJ",
+ "sourceHandle": "{œbaseClassesœ:[œstrœ,œTextœ,œobjectœ],œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-uYXZJœ}",
+ "target": "ChatOutput-EJkG3",
+ "targetHandle": "{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-EJkG3œ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}",
+ "data": {
+ "targetHandle": {
+ "fieldName": "input_value",
+ "id": "ChatOutput-EJkG3",
+ "inputTypes": ["Text"],
+ "type": "str"
+ },
+ "sourceHandle": {
+ "baseClasses": ["str", "Text", "object"],
+ "dataType": "OpenAIModel",
+ "id": "OpenAIModel-uYXZJ"
+ }
+ },
+ "style": {
+ "stroke": "#555"
+ },
+ "className": "stroke-gray-900 stroke-connection",
+ "id": "reactflow__edge-OpenAIModel-uYXZJ{œbaseClassesœ:[œstrœ,œTextœ,œobjectœ],œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-uYXZJœ}-ChatOutput-EJkG3{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-EJkG3œ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}"
+ },
+ {
+ "source": "Prompt-gTNiz",
+ "sourceHandle": "{œbaseClassesœ:[œobjectœ,œstrœ,œTextœ],œdataTypeœ:œPromptœ,œidœ:œPrompt-gTNizœ}",
+ "target": "TextOutput-MUDOR",
+ "targetHandle": "{œfieldNameœ:œinput_valueœ,œidœ:œTextOutput-MUDORœ,œinputTypesœ:[œRecordœ,œTextœ],œtypeœ:œstrœ}",
+ "data": {
+ "targetHandle": {
+ "fieldName": "input_value",
+ "id": "TextOutput-MUDOR",
+ "inputTypes": ["Record", "Text"],
+ "type": "str"
+ },
+ "sourceHandle": {
+ "baseClasses": ["object", "str", "Text"],
+ "dataType": "Prompt",
+ "id": "Prompt-gTNiz"
+ }
+ },
+ "style": {
+ "stroke": "#555"
+ },
+ "className": "stroke-gray-900 stroke-connection",
+ "id": "reactflow__edge-Prompt-gTNiz{œbaseClassesœ:[œobjectœ,œstrœ,œTextœ],œdataTypeœ:œPromptœ,œidœ:œPrompt-gTNizœ}-TextOutput-MUDOR{œfieldNameœ:œinput_valueœ,œidœ:œTextOutput-MUDORœ,œinputTypesœ:[œRecordœ,œTextœ],œtypeœ:œstrœ}"
+ },
+ {
+ "source": "Prompt-gTNiz",
+ "sourceHandle": "{œbaseClassesœ:[œobjectœ,œstrœ,œTextœ],œdataTypeœ:œPromptœ,œidœ:œPrompt-gTNizœ}",
+ "target": "OpenAIModel-XawYB",
+ "targetHandle": "{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-XawYBœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}",
+ "data": {
+ "targetHandle": {
+ "fieldName": "input_value",
+ "id": "OpenAIModel-XawYB",
+ "inputTypes": ["Text"],
+ "type": "str"
+ },
+ "sourceHandle": {
+ "baseClasses": ["object", "str", "Text"],
+ "dataType": "Prompt",
+ "id": "Prompt-gTNiz"
+ }
+ },
+ "style": {
+ "stroke": "#555"
+ },
+ "className": "stroke-gray-900 stroke-connection",
+ "id": "reactflow__edge-Prompt-gTNiz{œbaseClassesœ:[œobjectœ,œstrœ,œTextœ],œdataTypeœ:œPromptœ,œidœ:œPrompt-gTNizœ}-OpenAIModel-XawYB{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-XawYBœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}"
+ },
+ {
+ "source": "OpenAIModel-XawYB",
+ "sourceHandle": "{œbaseClassesœ:[œstrœ,œTextœ,œobjectœ],œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-XawYBœ}",
+ "target": "ChatOutput-DNmvg",
+ "targetHandle": "{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-DNmvgœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}",
+ "data": {
+ "targetHandle": {
+ "fieldName": "input_value",
+ "id": "ChatOutput-DNmvg",
+ "inputTypes": ["Text"],
+ "type": "str"
+ },
+ "sourceHandle": {
+ "baseClasses": ["str", "Text", "object"],
+ "dataType": "OpenAIModel",
+ "id": "OpenAIModel-XawYB"
+ }
+ },
+ "style": {
+ "stroke": "#555"
+ },
+ "className": "stroke-gray-900 stroke-connection",
+ "id": "reactflow__edge-OpenAIModel-XawYB{œbaseClassesœ:[œstrœ,œTextœ,œobjectœ],œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-XawYBœ}-ChatOutput-DNmvg{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-DNmvgœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}"
+ }
+ ],
+ "viewport": {
+ "x": -383.7251879618552,
+ "y": 69.19813933800037,
+ "zoom": 0.3105753483695743
+ }
+ },
+ "description": "The Prompt Chaining flow chains prompts with LLMs, refining outputs through iterative stages.",
+ "name": "Prompt Chaining",
+ "last_tested_version": "1.0.0a0",
+ "is_component": false
}
diff --git a/src/backend/base/langflow/initial_setup/starter_projects/VectorStore-RAG-Flows.json b/src/backend/base/langflow/initial_setup/starter_projects/VectorStore-RAG-Flows.json
index c629cdb3e..bbf59c8b1 100644
--- a/src/backend/base/langflow/initial_setup/starter_projects/VectorStore-RAG-Flows.json
+++ b/src/backend/base/langflow/initial_setup/starter_projects/VectorStore-RAG-Flows.json
@@ -1,3407 +1,3151 @@
{
- "id": "51e2b78a-199b-4054-9f32-e288eef6924c",
- "data": {
- "nodes": [
- {
- "id": "ChatInput-yxMKE",
- "type": "genericNode",
- "position": {
- "x": 1195.5276981160775,
- "y": 209.421875
- },
- "data": {
- "type": "ChatInput",
- "node": {
- "template": {
- "code": {
- "type": "code",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n icon = \"ChatInput\"\n\n def build_config(self):\n build_config = super().build_config()\n build_config[\"input_value\"] = {\n \"input_types\": [],\n \"display_name\": \"Message\",\n \"multiline\": True,\n }\n\n return build_config\n\n def build(\n self,\n sender: Optional[str] = \"User\",\n sender_name: Optional[str] = \"User\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n ) -> Union[Text, Record]:\n return super().build_no_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n )\n",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "code",
- "advanced": true,
- "dynamic": true,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "input_value": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "input_value",
- "display_name": "Message",
- "advanced": false,
- "input_types": [],
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "value": "what is a line"
- },
- "return_record": {
- "type": "bool",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "return_record",
- "display_name": "Return Record",
- "advanced": true,
- "dynamic": false,
- "info": "Return the message as a record containing the sender, sender_name, and session_id.",
- "load_from_db": false,
- "title_case": false
- },
- "sender": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": true,
- "show": true,
- "multiline": false,
- "value": "User",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "options": [
- "Machine",
- "User"
- ],
- "name": "sender",
- "display_name": "Sender Type",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "sender_name": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": "User",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "sender_name",
- "display_name": "Sender Name",
- "advanced": false,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "session_id": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "session_id",
- "display_name": "Session ID",
- "advanced": true,
- "dynamic": false,
- "info": "If provided, the message will be stored in the memory.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "_type": "CustomComponent"
- },
- "description": "Get chat inputs from the Playground.",
- "icon": "ChatInput",
- "base_classes": [
- "Text",
- "str",
- "object",
- "Record"
- ],
- "display_name": "Chat Input",
- "documentation": "",
- "custom_fields": {
- "sender": null,
- "sender_name": null,
- "input_value": null,
- "session_id": null,
- "return_record": null
- },
- "output_types": [
- "Text",
- "Record"
- ],
- "field_formatters": {},
- "frozen": false,
- "field_order": [],
- "beta": false
- },
- "id": "ChatInput-yxMKE"
- },
- "selected": false,
- "width": 384,
- "height": 383
+ "id": "51e2b78a-199b-4054-9f32-e288eef6924c",
+ "data": {
+ "nodes": [
+ {
+ "id": "ChatInput-yxMKE",
+ "type": "genericNode",
+ "position": {
+ "x": 1195.5276981160775,
+ "y": 209.421875
+ },
+ "data": {
+ "type": "ChatInput",
+ "node": {
+ "template": {
+ "code": {
+ "type": "code",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n icon = \"ChatInput\"\n\n def build_config(self):\n build_config = super().build_config()\n build_config[\"input_value\"] = {\n \"input_types\": [],\n \"display_name\": \"Message\",\n \"multiline\": True,\n }\n\n return build_config\n\n def build(\n self,\n sender: Optional[str] = \"User\",\n sender_name: Optional[str] = \"User\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n ) -> Union[Text, Record]:\n return super().build_no_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n )\n",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "code",
+ "advanced": true,
+ "dynamic": true,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "input_value": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "input_value",
+ "display_name": "Message",
+ "advanced": false,
+ "input_types": [],
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "value": "what is a line"
+ },
+ "return_record": {
+ "type": "bool",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "return_record",
+ "display_name": "Return Record",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Return the message as a record containing the sender, sender_name, and session_id.",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "sender": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": true,
+ "show": true,
+ "multiline": false,
+ "value": "User",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "options": ["Machine", "User"],
+ "name": "sender",
+ "display_name": "Sender Type",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "sender_name": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": "User",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "sender_name",
+ "display_name": "Sender Name",
+ "advanced": false,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "session_id": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "session_id",
+ "display_name": "Session ID",
+ "advanced": true,
+ "dynamic": false,
+ "info": "If provided, the message will be stored in the memory.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "_type": "CustomComponent"
},
- {
- "id": "TextOutput-BDknO",
- "type": "genericNode",
- "position": {
- "x": 2322.600672827879,
- "y": 604.9467307442569
- },
- "data": {
- "type": "TextOutput",
- "node": {
- "template": {
- "input_value": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": "",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "input_value",
- "display_name": "Value",
- "advanced": false,
- "input_types": [
- "Record",
- "Text"
- ],
- "dynamic": false,
- "info": "Text or Record to be passed as output.",
- "load_from_db": false,
- "title_case": false
- },
- "code": {
- "type": "code",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "from typing import Optional\n\nfrom langflow.base.io.text import TextComponent\nfrom langflow.field_typing import Text\n\n\nclass TextOutput(TextComponent):\n display_name = \"Text Output\"\n description = \"Display a text output in the Playground.\"\n icon = \"type\"\n\n def build_config(self):\n return {\n \"input_value\": {\n \"display_name\": \"Value\",\n \"input_types\": [\"Record\", \"Text\"],\n \"info\": \"Text or Record to be passed as output.\",\n },\n \"record_template\": {\n \"display_name\": \"Record Template\",\n \"multiline\": True,\n \"info\": \"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n \"advanced\": True,\n },\n }\n\n def build(self, input_value: Optional[Text] = \"\", record_template: str = \"\") -> Text:\n return super().build(input_value=input_value, record_template=record_template)\n",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "code",
- "advanced": true,
- "dynamic": true,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "record_template": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "{text}",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "record_template",
- "display_name": "Record Template",
- "advanced": true,
- "dynamic": false,
- "info": "Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "_type": "CustomComponent"
- },
- "description": "Display a text output in the Playground.",
- "icon": "type",
- "base_classes": [
- "object",
- "Text",
- "str"
- ],
- "display_name": "Extracted Chunks",
- "documentation": "",
- "custom_fields": {
- "input_value": null,
- "record_template": null
- },
- "output_types": [
- "Text"
- ],
- "field_formatters": {},
- "frozen": false,
- "field_order": [],
- "beta": false
- },
- "id": "TextOutput-BDknO"
- },
- "selected": false,
- "width": 384,
- "height": 289,
- "positionAbsolute": {
- "x": 2322.600672827879,
- "y": 604.9467307442569
- },
- "dragging": false
+ "description": "Get chat inputs from the Playground.",
+ "icon": "ChatInput",
+ "base_classes": ["Text", "str", "object", "Record"],
+ "display_name": "Chat Input",
+ "documentation": "",
+ "custom_fields": {
+ "sender": null,
+ "sender_name": null,
+ "input_value": null,
+ "session_id": null,
+ "return_record": null
},
- {
- "id": "OpenAIEmbeddings-ZlOk1",
- "type": "genericNode",
- "position": {
- "x": 1183.667250865064,
- "y": 687.3171828430261
- },
- "data": {
- "type": "OpenAIEmbeddings",
- "node": {
- "template": {
- "allowed_special": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": [],
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "allowed_special",
- "display_name": "Allowed Special",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "chunk_size": {
- "type": "int",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": 1000,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "chunk_size",
- "display_name": "Chunk Size",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "client": {
- "type": "Any",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "client",
- "display_name": "Client",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "code": {
- "type": "code",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "from typing import Dict, List, Optional\n\nfrom langchain_openai.embeddings.base import OpenAIEmbeddings\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.custom import CustomComponent\nfrom langflow.field_typing import Embeddings, NestedDict\n\n\nclass OpenAIEmbeddingsComponent(CustomComponent):\n display_name = \"OpenAI Embeddings\"\n description = \"Generate embeddings using OpenAI models.\"\n\n def build_config(self):\n return {\n \"allowed_special\": {\n \"display_name\": \"Allowed Special\",\n \"advanced\": True,\n \"field_type\": \"str\",\n \"is_list\": True,\n },\n \"default_headers\": {\n \"display_name\": \"Default Headers\",\n \"advanced\": True,\n \"field_type\": \"dict\",\n },\n \"default_query\": {\n \"display_name\": \"Default Query\",\n \"advanced\": True,\n \"field_type\": \"NestedDict\",\n },\n \"disallowed_special\": {\n \"display_name\": \"Disallowed Special\",\n \"advanced\": True,\n \"field_type\": \"str\",\n \"is_list\": True,\n },\n \"chunk_size\": {\"display_name\": \"Chunk Size\", \"advanced\": True},\n \"client\": {\"display_name\": \"Client\", \"advanced\": True},\n \"deployment\": {\"display_name\": \"Deployment\", \"advanced\": True},\n \"embedding_ctx_length\": {\n \"display_name\": \"Embedding Context Length\",\n \"advanced\": True,\n },\n \"max_retries\": {\"display_name\": \"Max Retries\", \"advanced\": True},\n \"model\": {\n \"display_name\": \"Model\",\n \"advanced\": False,\n \"options\": [\n \"text-embedding-3-small\",\n \"text-embedding-3-large\",\n \"text-embedding-ada-002\",\n ],\n },\n \"model_kwargs\": {\"display_name\": \"Model Kwargs\", \"advanced\": True},\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"password\": True,\n \"advanced\": True,\n },\n \"openai_api_key\": {\"display_name\": \"OpenAI API Key\", \"password\": True},\n \"openai_api_type\": {\n \"display_name\": \"OpenAI API Type\",\n \"advanced\": True,\n \"password\": True,\n },\n \"openai_api_version\": {\n \"display_name\": \"OpenAI API Version\",\n \"advanced\": True,\n },\n \"openai_organization\": {\n \"display_name\": \"OpenAI Organization\",\n \"advanced\": True,\n },\n \"openai_proxy\": {\"display_name\": \"OpenAI Proxy\", \"advanced\": True},\n \"request_timeout\": {\"display_name\": \"Request Timeout\", \"advanced\": True},\n \"show_progress_bar\": {\n \"display_name\": \"Show Progress Bar\",\n \"advanced\": True,\n },\n \"skip_empty\": {\"display_name\": \"Skip Empty\", \"advanced\": True},\n \"tiktoken_model_name\": {\n \"display_name\": \"TikToken Model Name\",\n \"advanced\": True,\n },\n \"tiktoken_enable\": {\"display_name\": \"TikToken Enable\", \"advanced\": True},\n }\n\n def build(\n self,\n openai_api_key: str,\n default_headers: Optional[Dict[str, str]] = None,\n default_query: Optional[NestedDict] = {},\n allowed_special: List[str] = [],\n disallowed_special: List[str] = [\"all\"],\n chunk_size: int = 1000,\n deployment: str = \"text-embedding-ada-002\",\n embedding_ctx_length: int = 8191,\n max_retries: int = 6,\n model: str = \"text-embedding-ada-002\",\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n openai_api_type: Optional[str] = None,\n openai_api_version: Optional[str] = None,\n openai_organization: Optional[str] = None,\n openai_proxy: Optional[str] = None,\n request_timeout: Optional[float] = None,\n show_progress_bar: bool = False,\n skip_empty: bool = False,\n tiktoken_enable: bool = True,\n tiktoken_model_name: Optional[str] = None,\n ) -> Embeddings:\n # This is to avoid errors with Vector Stores (e.g Chroma)\n if disallowed_special == [\"all\"]:\n disallowed_special = \"all\" # type: ignore\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n return OpenAIEmbeddings(\n tiktoken_enabled=tiktoken_enable,\n default_headers=default_headers,\n default_query=default_query,\n allowed_special=set(allowed_special),\n disallowed_special=\"all\",\n chunk_size=chunk_size,\n deployment=deployment,\n embedding_ctx_length=embedding_ctx_length,\n max_retries=max_retries,\n model=model,\n model_kwargs=model_kwargs,\n base_url=openai_api_base,\n api_key=api_key,\n openai_api_type=openai_api_type,\n api_version=openai_api_version,\n organization=openai_organization,\n openai_proxy=openai_proxy,\n timeout=request_timeout,\n show_progress_bar=show_progress_bar,\n skip_empty=skip_empty,\n tiktoken_model_name=tiktoken_model_name,\n )\n",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "code",
- "advanced": true,
- "dynamic": true,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "default_headers": {
- "type": "dict",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "default_headers",
- "display_name": "Default Headers",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "default_query": {
- "type": "NestedDict",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": {},
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "default_query",
- "display_name": "Default Query",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "deployment": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": "text-embedding-ada-002",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "deployment",
- "display_name": "Deployment",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "disallowed_special": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": [
- "all"
- ],
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "disallowed_special",
- "display_name": "Disallowed Special",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "embedding_ctx_length": {
- "type": "int",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": 8191,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "embedding_ctx_length",
- "display_name": "Embedding Context Length",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "max_retries": {
- "type": "int",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": 6,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "max_retries",
- "display_name": "Max Retries",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "model": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": true,
- "show": true,
- "multiline": false,
- "value": "text-embedding-ada-002",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "options": [
- "text-embedding-3-small",
- "text-embedding-3-large",
- "text-embedding-ada-002"
- ],
- "name": "model",
- "display_name": "Model",
- "advanced": false,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "model_kwargs": {
- "type": "NestedDict",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": {},
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "model_kwargs",
- "display_name": "Model Kwargs",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "openai_api_base": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": true,
- "name": "openai_api_base",
- "display_name": "OpenAI API Base",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "openai_api_key": {
- "type": "str",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": true,
- "name": "openai_api_key",
- "display_name": "OpenAI API Key",
- "advanced": false,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ],
- "value": "OPENAI_API_KEY"
- },
- "openai_api_type": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": true,
- "name": "openai_api_type",
- "display_name": "OpenAI API Type",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "openai_api_version": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "openai_api_version",
- "display_name": "OpenAI API Version",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "openai_organization": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "openai_organization",
- "display_name": "OpenAI Organization",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "openai_proxy": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "openai_proxy",
- "display_name": "OpenAI Proxy",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "request_timeout": {
- "type": "float",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "request_timeout",
- "display_name": "Request Timeout",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "rangeSpec": {
- "step_type": "float",
- "min": -1,
- "max": 1,
- "step": 0.1
- },
- "load_from_db": false,
- "title_case": false
- },
- "show_progress_bar": {
- "type": "bool",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "show_progress_bar",
- "display_name": "Show Progress Bar",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "skip_empty": {
- "type": "bool",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "skip_empty",
- "display_name": "Skip Empty",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "tiktoken_enable": {
- "type": "bool",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": true,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "tiktoken_enable",
- "display_name": "TikToken Enable",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "tiktoken_model_name": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "tiktoken_model_name",
- "display_name": "TikToken Model Name",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "_type": "CustomComponent"
- },
- "description": "Generate embeddings using OpenAI models.",
- "base_classes": [
- "Embeddings"
- ],
- "display_name": "OpenAI Embeddings",
- "documentation": "",
- "custom_fields": {
- "openai_api_key": null,
- "default_headers": null,
- "default_query": null,
- "allowed_special": null,
- "disallowed_special": null,
- "chunk_size": null,
- "client": null,
- "deployment": null,
- "embedding_ctx_length": null,
- "max_retries": null,
- "model": null,
- "model_kwargs": null,
- "openai_api_base": null,
- "openai_api_type": null,
- "openai_api_version": null,
- "openai_organization": null,
- "openai_proxy": null,
- "request_timeout": null,
- "show_progress_bar": null,
- "skip_empty": null,
- "tiktoken_enable": null,
- "tiktoken_model_name": null
- },
- "output_types": [
- "Embeddings"
- ],
- "field_formatters": {},
- "frozen": false,
- "field_order": [],
- "beta": false
- },
- "id": "OpenAIEmbeddings-ZlOk1"
- },
- "selected": false,
- "width": 384,
- "height": 383,
- "dragging": false
+ "output_types": ["Text", "Record"],
+ "field_formatters": {},
+ "frozen": false,
+ "field_order": [],
+ "beta": false
+ },
+ "id": "ChatInput-yxMKE"
+ },
+ "selected": false,
+ "width": 384,
+ "height": 383
+ },
+ {
+ "id": "TextOutput-BDknO",
+ "type": "genericNode",
+ "position": {
+ "x": 2322.600672827879,
+ "y": 604.9467307442569
+ },
+ "data": {
+ "type": "TextOutput",
+ "node": {
+ "template": {
+ "input_value": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": "",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "input_value",
+ "display_name": "Value",
+ "advanced": false,
+ "input_types": ["Record", "Text"],
+ "dynamic": false,
+ "info": "Text or Record to be passed as output.",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "code": {
+ "type": "code",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "from typing import Optional\n\nfrom langflow.base.io.text import TextComponent\nfrom langflow.field_typing import Text\n\n\nclass TextOutput(TextComponent):\n display_name = \"Text Output\"\n description = \"Display a text output in the Playground.\"\n icon = \"type\"\n\n def build_config(self):\n return {\n \"input_value\": {\n \"display_name\": \"Value\",\n \"input_types\": [\"Record\", \"Text\"],\n \"info\": \"Text or Record to be passed as output.\",\n },\n \"record_template\": {\n \"display_name\": \"Record Template\",\n \"multiline\": True,\n \"info\": \"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n \"advanced\": True,\n },\n }\n\n def build(self, input_value: Optional[Text] = \"\", record_template: str = \"\") -> Text:\n return super().build(input_value=input_value, record_template=record_template)\n",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "code",
+ "advanced": true,
+ "dynamic": true,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "record_template": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "{text}",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "record_template",
+ "display_name": "Record Template",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "_type": "CustomComponent"
},
- {
- "id": "OpenAIModel-EjXlN",
- "type": "genericNode",
- "position": {
- "x": 3410.117202077183,
- "y": 431.2038048137648
- },
- "data": {
- "type": "OpenAIModel",
- "node": {
- "template": {
- "input_value": {
- "type": "str",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "input_value",
- "display_name": "Input",
- "advanced": false,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "code": {
- "type": "code",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\"},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n \"info\": \"The maximum number of tokens to generate. Set to 0 for unlimited tokens.\",\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": MODEL_NAMES,\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float,\n model_name: str = \"gpt-4o\",\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens or None,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "code",
- "advanced": true,
- "dynamic": true,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "max_tokens": {
- "type": "int",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": 256,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "max_tokens",
- "display_name": "Max Tokens",
- "advanced": true,
- "dynamic": false,
- "info": "The maximum number of tokens to generate. Set to 0 for unlimited tokens.",
- "load_from_db": false,
- "title_case": false
- },
- "model_kwargs": {
- "type": "NestedDict",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": {},
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "model_kwargs",
- "display_name": "Model Kwargs",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "model_name": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": true,
- "show": true,
- "multiline": false,
- "value": "gpt-3.5-turbo",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "options": [
- "gpt-4o",
- "gpt-4-turbo",
- "gpt-4-turbo-preview",
- "gpt-3.5-turbo",
- "gpt-3.5-turbo-0125"
- ],
- "name": "model_name",
- "display_name": "Model Name",
- "advanced": false,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "openai_api_base": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "openai_api_base",
- "display_name": "OpenAI API Base",
- "advanced": true,
- "dynamic": false,
- "info": "The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\n\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "openai_api_key": {
- "type": "str",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": true,
- "name": "openai_api_key",
- "display_name": "OpenAI API Key",
- "advanced": false,
- "dynamic": false,
- "info": "The OpenAI API Key to use for the OpenAI model.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ],
- "value": "OPENAI_API_KEY"
- },
- "stream": {
- "type": "bool",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "stream",
- "display_name": "Stream",
- "advanced": true,
- "dynamic": false,
- "info": "Stream the response from the model. Streaming works only in Chat.",
- "load_from_db": false,
- "title_case": false
- },
- "system_message": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "system_message",
- "display_name": "System Message",
- "advanced": true,
- "dynamic": false,
- "info": "System message to pass to the model.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "temperature": {
- "type": "float",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": 0.1,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "temperature",
- "display_name": "Temperature",
- "advanced": false,
- "dynamic": false,
- "info": "",
- "rangeSpec": {
- "step_type": "float",
- "min": -1,
- "max": 1,
- "step": 0.1
- },
- "load_from_db": false,
- "title_case": false
- },
- "_type": "CustomComponent"
- },
- "description": "Generates text using OpenAI LLMs.",
- "icon": "OpenAI",
- "base_classes": [
- "object",
- "Text",
- "str"
- ],
- "display_name": "OpenAI",
- "documentation": "",
- "custom_fields": {
- "input_value": null,
- "openai_api_key": null,
- "temperature": null,
- "model_name": null,
- "max_tokens": null,
- "model_kwargs": null,
- "openai_api_base": null,
- "stream": null,
- "system_message": null
- },
- "output_types": [
- "Text"
- ],
- "field_formatters": {},
- "frozen": false,
- "field_order": [
- "max_tokens",
- "model_kwargs",
- "model_name",
- "openai_api_base",
- "openai_api_key",
- "temperature",
- "input_value",
- "system_message",
- "stream"
- ],
- "beta": false
- },
- "id": "OpenAIModel-EjXlN"
- },
- "selected": true,
- "width": 384,
- "height": 563,
- "positionAbsolute": {
- "x": 3410.117202077183,
- "y": 431.2038048137648
- },
- "dragging": false
+ "description": "Display a text output in the Playground.",
+ "icon": "type",
+ "base_classes": ["object", "Text", "str"],
+ "display_name": "Extracted Chunks",
+ "documentation": "",
+ "custom_fields": {
+ "input_value": null,
+ "record_template": null
},
- {
- "id": "Prompt-xeI6K",
- "type": "genericNode",
- "position": {
- "x": 2969.0261961391298,
- "y": 442.1613649809069
+ "output_types": ["Text"],
+ "field_formatters": {},
+ "frozen": false,
+ "field_order": [],
+ "beta": false
+ },
+ "id": "TextOutput-BDknO"
+ },
+ "selected": false,
+ "width": 384,
+ "height": 289,
+ "positionAbsolute": {
+ "x": 2322.600672827879,
+ "y": 604.9467307442569
+ },
+ "dragging": false
+ },
+ {
+ "id": "OpenAIEmbeddings-ZlOk1",
+ "type": "genericNode",
+ "position": {
+ "x": 1183.667250865064,
+ "y": 687.3171828430261
+ },
+ "data": {
+ "type": "OpenAIEmbeddings",
+ "node": {
+ "template": {
+ "allowed_special": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": [],
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "allowed_special",
+ "display_name": "Allowed Special",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "chunk_size": {
+ "type": "int",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": 1000,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "chunk_size",
+ "display_name": "Chunk Size",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "client": {
+ "type": "Any",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "client",
+ "display_name": "Client",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "code": {
+ "type": "code",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "from typing import Dict, List, Optional\n\nfrom langchain_openai.embeddings.base import OpenAIEmbeddings\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.custom import CustomComponent\nfrom langflow.field_typing import Embeddings, NestedDict\n\n\nclass OpenAIEmbeddingsComponent(CustomComponent):\n display_name = \"OpenAI Embeddings\"\n description = \"Generate embeddings using OpenAI models.\"\n\n def build_config(self):\n return {\n \"allowed_special\": {\n \"display_name\": \"Allowed Special\",\n \"advanced\": True,\n \"field_type\": \"str\",\n \"is_list\": True,\n },\n \"default_headers\": {\n \"display_name\": \"Default Headers\",\n \"advanced\": True,\n \"field_type\": \"dict\",\n },\n \"default_query\": {\n \"display_name\": \"Default Query\",\n \"advanced\": True,\n \"field_type\": \"NestedDict\",\n },\n \"disallowed_special\": {\n \"display_name\": \"Disallowed Special\",\n \"advanced\": True,\n \"field_type\": \"str\",\n \"is_list\": True,\n },\n \"chunk_size\": {\"display_name\": \"Chunk Size\", \"advanced\": True},\n \"client\": {\"display_name\": \"Client\", \"advanced\": True},\n \"deployment\": {\"display_name\": \"Deployment\", \"advanced\": True},\n \"embedding_ctx_length\": {\n \"display_name\": \"Embedding Context Length\",\n \"advanced\": True,\n },\n \"max_retries\": {\"display_name\": \"Max Retries\", \"advanced\": True},\n \"model\": {\n \"display_name\": \"Model\",\n \"advanced\": False,\n \"options\": [\n \"text-embedding-3-small\",\n \"text-embedding-3-large\",\n \"text-embedding-ada-002\",\n ],\n },\n \"model_kwargs\": {\"display_name\": \"Model Kwargs\", \"advanced\": True},\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"password\": True,\n \"advanced\": True,\n },\n \"openai_api_key\": {\"display_name\": \"OpenAI API Key\", \"password\": True},\n \"openai_api_type\": {\n \"display_name\": \"OpenAI API Type\",\n \"advanced\": True,\n \"password\": True,\n },\n \"openai_api_version\": {\n \"display_name\": \"OpenAI API Version\",\n \"advanced\": True,\n },\n \"openai_organization\": {\n \"display_name\": \"OpenAI Organization\",\n \"advanced\": True,\n },\n \"openai_proxy\": {\"display_name\": \"OpenAI Proxy\", \"advanced\": True},\n \"request_timeout\": {\"display_name\": \"Request Timeout\", \"advanced\": True},\n \"show_progress_bar\": {\n \"display_name\": \"Show Progress Bar\",\n \"advanced\": True,\n },\n \"skip_empty\": {\"display_name\": \"Skip Empty\", \"advanced\": True},\n \"tiktoken_model_name\": {\n \"display_name\": \"TikToken Model Name\",\n \"advanced\": True,\n },\n \"tiktoken_enable\": {\"display_name\": \"TikToken Enable\", \"advanced\": True},\n }\n\n def build(\n self,\n openai_api_key: str,\n default_headers: Optional[Dict[str, str]] = None,\n default_query: Optional[NestedDict] = {},\n allowed_special: List[str] = [],\n disallowed_special: List[str] = [\"all\"],\n chunk_size: int = 1000,\n deployment: str = \"text-embedding-ada-002\",\n embedding_ctx_length: int = 8191,\n max_retries: int = 6,\n model: str = \"text-embedding-ada-002\",\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n openai_api_type: Optional[str] = None,\n openai_api_version: Optional[str] = None,\n openai_organization: Optional[str] = None,\n openai_proxy: Optional[str] = None,\n request_timeout: Optional[float] = None,\n show_progress_bar: bool = False,\n skip_empty: bool = False,\n tiktoken_enable: bool = True,\n tiktoken_model_name: Optional[str] = None,\n ) -> Embeddings:\n # This is to avoid errors with Vector Stores (e.g Chroma)\n if disallowed_special == [\"all\"]:\n disallowed_special = \"all\" # type: ignore\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n return OpenAIEmbeddings(\n tiktoken_enabled=tiktoken_enable,\n default_headers=default_headers,\n default_query=default_query,\n allowed_special=set(allowed_special),\n disallowed_special=\"all\",\n chunk_size=chunk_size,\n deployment=deployment,\n embedding_ctx_length=embedding_ctx_length,\n max_retries=max_retries,\n model=model,\n model_kwargs=model_kwargs,\n base_url=openai_api_base,\n api_key=api_key,\n openai_api_type=openai_api_type,\n api_version=openai_api_version,\n organization=openai_organization,\n openai_proxy=openai_proxy,\n timeout=request_timeout,\n show_progress_bar=show_progress_bar,\n skip_empty=skip_empty,\n tiktoken_model_name=tiktoken_model_name,\n )\n",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "code",
+ "advanced": true,
+ "dynamic": true,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "default_headers": {
+ "type": "dict",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "default_headers",
+ "display_name": "Default Headers",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "default_query": {
+ "type": "NestedDict",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": {},
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "default_query",
+ "display_name": "Default Query",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "deployment": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": "text-embedding-ada-002",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "deployment",
+ "display_name": "Deployment",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "disallowed_special": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": ["all"],
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "disallowed_special",
+ "display_name": "Disallowed Special",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "embedding_ctx_length": {
+ "type": "int",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": 8191,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "embedding_ctx_length",
+ "display_name": "Embedding Context Length",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "max_retries": {
+ "type": "int",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": 6,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "max_retries",
+ "display_name": "Max Retries",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "model": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": true,
+ "show": true,
+ "multiline": false,
+ "value": "text-embedding-ada-002",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "options": [
+ "text-embedding-3-small",
+ "text-embedding-3-large",
+ "text-embedding-ada-002"
+ ],
+ "name": "model",
+ "display_name": "Model",
+ "advanced": false,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "model_kwargs": {
+ "type": "NestedDict",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": {},
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "model_kwargs",
+ "display_name": "Model Kwargs",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "openai_api_base": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": true,
+ "name": "openai_api_base",
+ "display_name": "OpenAI API Base",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "openai_api_key": {
+ "type": "str",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": true,
+ "name": "openai_api_key",
+ "display_name": "OpenAI API Key",
+ "advanced": false,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": true,
+ "title_case": false,
+ "input_types": ["Text"],
+ "value": "OPENAI_API_KEY"
+ },
+ "openai_api_type": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": true,
+ "name": "openai_api_type",
+ "display_name": "OpenAI API Type",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "openai_api_version": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "openai_api_version",
+ "display_name": "OpenAI API Version",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "openai_organization": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "openai_organization",
+ "display_name": "OpenAI Organization",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "openai_proxy": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "openai_proxy",
+ "display_name": "OpenAI Proxy",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "request_timeout": {
+ "type": "float",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "request_timeout",
+ "display_name": "Request Timeout",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "rangeSpec": {
+ "step_type": "float",
+ "min": -1,
+ "max": 1,
+ "step": 0.1
},
- "data": {
- "type": "Prompt",
- "node": {
- "template": {
- "code": {
- "type": "code",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "from langchain_core.prompts import PromptTemplate\n\nfrom langflow.custom import CustomComponent\nfrom langflow.field_typing import Prompt, TemplateField, Text\n\n\nclass PromptComponent(CustomComponent):\n display_name: str = \"Prompt\"\n description: str = \"Create a prompt template with dynamic variables.\"\n icon = \"prompts\"\n\n def build_config(self):\n return {\n \"template\": TemplateField(display_name=\"Template\"),\n \"code\": TemplateField(advanced=True),\n }\n\n def build(\n self,\n template: Prompt,\n **kwargs,\n ) -> Text:\n from langflow.base.prompts.utils import dict_values_to_string\n\n prompt_template = PromptTemplate.from_template(Text(template))\n kwargs = dict_values_to_string(kwargs)\n kwargs = {k: \"\\n\".join(v) if isinstance(v, list) else v for k, v in kwargs.items()}\n try:\n formated_prompt = prompt_template.format(**kwargs)\n except Exception as exc:\n raise ValueError(f\"Error formatting prompt: {exc}\") from exc\n self.status = f'Prompt:\\n\"{formated_prompt}\"'\n return formated_prompt\n",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "code",
- "advanced": true,
- "dynamic": true,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "template": {
- "type": "prompt",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": "{context}\n\n---\n\nGiven the context above, answer the question as best as possible.\n\nQuestion: {question}\n\nAnswer: ",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "template",
- "display_name": "Template",
- "advanced": false,
- "input_types": [
- "Text"
- ],
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "_type": "CustomComponent",
- "context": {
- "field_type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "context",
- "display_name": "context",
- "advanced": false,
- "input_types": [
- "Document",
- "BaseOutputParser",
- "Record",
- "Text"
- ],
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "type": "str"
- },
- "question": {
- "field_type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "question",
- "display_name": "question",
- "advanced": false,
- "input_types": [
- "Document",
- "BaseOutputParser",
- "Record",
- "Text"
- ],
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "type": "str"
- }
- },
- "description": "Create a prompt template with dynamic variables.",
- "icon": "prompts",
- "is_input": null,
- "is_output": null,
- "is_composition": null,
- "base_classes": [
- "object",
- "Text",
- "str"
- ],
- "name": "",
- "display_name": "Prompt",
- "documentation": "",
- "custom_fields": {
- "template": [
- "context",
- "question"
- ]
- },
- "output_types": [
- "Text"
- ],
- "full_path": null,
- "field_formatters": {},
- "frozen": false,
- "field_order": [],
- "beta": false,
- "error": null
- },
- "id": "Prompt-xeI6K",
- "description": "Create a prompt template with dynamic variables.",
- "display_name": "Prompt"
- },
- "selected": false,
- "width": 384,
- "height": 477,
- "positionAbsolute": {
- "x": 2969.0261961391298,
- "y": 442.1613649809069
- },
- "dragging": false
+ "load_from_db": false,
+ "title_case": false
+ },
+ "show_progress_bar": {
+ "type": "bool",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "show_progress_bar",
+ "display_name": "Show Progress Bar",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "skip_empty": {
+ "type": "bool",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "skip_empty",
+ "display_name": "Skip Empty",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "tiktoken_enable": {
+ "type": "bool",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": true,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "tiktoken_enable",
+ "display_name": "TikToken Enable",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "tiktoken_model_name": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "tiktoken_model_name",
+ "display_name": "TikToken Model Name",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "_type": "CustomComponent"
},
- {
- "id": "ChatOutput-Q39I8",
- "type": "genericNode",
- "position": {
- "x": 3887.2073667611485,
- "y": 588.4801225794856
- },
- "data": {
- "type": "ChatOutput",
- "node": {
- "template": {
- "code": {
- "type": "code",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n record_template: Optional[str] = \"{text}\",\n ) -> Union[Text, Record]:\n return super().build_with_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n record_template=record_template or \"\",\n )\n",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "code",
- "advanced": true,
- "dynamic": true,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "input_value": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "input_value",
- "display_name": "Message",
- "advanced": false,
- "input_types": [
- "Text"
- ],
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "record_template": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "{text}",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "record_template",
- "display_name": "Record Template",
- "advanced": true,
- "dynamic": false,
- "info": "In case of Message being a Record, this template will be used to convert it to text.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "return_record": {
- "type": "bool",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "return_record",
- "display_name": "Return Record",
- "advanced": true,
- "dynamic": false,
- "info": "Return the message as a record containing the sender, sender_name, and session_id.",
- "load_from_db": false,
- "title_case": false
- },
- "sender": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": true,
- "show": true,
- "multiline": false,
- "value": "Machine",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "options": [
- "Machine",
- "User"
- ],
- "name": "sender",
- "display_name": "Sender Type",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "sender_name": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": "AI",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "sender_name",
- "display_name": "Sender Name",
- "advanced": false,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "session_id": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "session_id",
- "display_name": "Session ID",
- "advanced": true,
- "dynamic": false,
- "info": "If provided, the message will be stored in the memory.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "_type": "CustomComponent"
- },
- "description": "Display a chat message in the Playground.",
- "icon": "ChatOutput",
- "base_classes": [
- "object",
- "Text",
- "Record",
- "str"
- ],
- "display_name": "Chat Output",
- "documentation": "",
- "custom_fields": {
- "sender": null,
- "sender_name": null,
- "input_value": null,
- "session_id": null,
- "return_record": null,
- "record_template": null
- },
- "output_types": [
- "Text",
- "Record"
- ],
- "field_formatters": {},
- "frozen": false,
- "field_order": [],
- "beta": false
- },
- "id": "ChatOutput-Q39I8"
- },
- "selected": false,
- "width": 384,
- "height": 383,
- "positionAbsolute": {
- "x": 3887.2073667611485,
- "y": 588.4801225794856
- },
- "dragging": false
+ "description": "Generate embeddings using OpenAI models.",
+ "base_classes": ["Embeddings"],
+ "display_name": "OpenAI Embeddings",
+ "documentation": "",
+ "custom_fields": {
+ "openai_api_key": null,
+ "default_headers": null,
+ "default_query": null,
+ "allowed_special": null,
+ "disallowed_special": null,
+ "chunk_size": null,
+ "client": null,
+ "deployment": null,
+ "embedding_ctx_length": null,
+ "max_retries": null,
+ "model": null,
+ "model_kwargs": null,
+ "openai_api_base": null,
+ "openai_api_type": null,
+ "openai_api_version": null,
+ "openai_organization": null,
+ "openai_proxy": null,
+ "request_timeout": null,
+ "show_progress_bar": null,
+ "skip_empty": null,
+ "tiktoken_enable": null,
+ "tiktoken_model_name": null
},
- {
- "id": "File-t0a6a",
- "type": "genericNode",
- "position": {
- "x": 2257.233450682836,
- "y": 1747.5389618367233
+ "output_types": ["Embeddings"],
+ "field_formatters": {},
+ "frozen": false,
+ "field_order": [],
+ "beta": false
+ },
+ "id": "OpenAIEmbeddings-ZlOk1"
+ },
+ "selected": false,
+ "width": 384,
+ "height": 383,
+ "dragging": false
+ },
+ {
+ "id": "OpenAIModel-EjXlN",
+ "type": "genericNode",
+ "position": {
+ "x": 3410.117202077183,
+ "y": 431.2038048137648
+ },
+ "data": {
+ "type": "OpenAIModel",
+ "node": {
+ "template": {
+ "input_value": {
+ "type": "str",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "input_value",
+ "display_name": "Input",
+ "advanced": false,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "code": {
+ "type": "code",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\"},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n \"info\": \"The maximum number of tokens to generate. Set to 0 for unlimited tokens.\",\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": MODEL_NAMES,\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float = 0.1,\n model_name: str = \"gpt-4o\",\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens or None,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "code",
+ "advanced": true,
+ "dynamic": true,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "max_tokens": {
+ "type": "int",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": 256,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "max_tokens",
+ "display_name": "Max Tokens",
+ "advanced": true,
+ "dynamic": false,
+ "info": "The maximum number of tokens to generate. Set to 0 for unlimited tokens.",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "model_kwargs": {
+ "type": "NestedDict",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": {},
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "model_kwargs",
+ "display_name": "Model Kwargs",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "model_name": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": true,
+ "show": true,
+ "multiline": false,
+ "value": "gpt-3.5-turbo",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "options": [
+ "gpt-4o",
+ "gpt-4-turbo",
+ "gpt-4-turbo-preview",
+ "gpt-3.5-turbo",
+ "gpt-3.5-turbo-0125"
+ ],
+ "name": "model_name",
+ "display_name": "Model Name",
+ "advanced": false,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "openai_api_base": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "openai_api_base",
+ "display_name": "OpenAI API Base",
+ "advanced": true,
+ "dynamic": false,
+ "info": "The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\n\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "openai_api_key": {
+ "type": "str",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": true,
+ "name": "openai_api_key",
+ "display_name": "OpenAI API Key",
+ "advanced": false,
+ "dynamic": false,
+ "info": "The OpenAI API Key to use for the OpenAI model.",
+ "load_from_db": true,
+ "title_case": false,
+ "input_types": ["Text"],
+ "value": "OPENAI_API_KEY"
+ },
+ "stream": {
+ "type": "bool",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "stream",
+ "display_name": "Stream",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Stream the response from the model. Streaming works only in Chat.",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "system_message": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "system_message",
+ "display_name": "System Message",
+ "advanced": true,
+ "dynamic": false,
+ "info": "System message to pass to the model.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "temperature": {
+ "type": "float",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": 0.1,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "temperature",
+ "display_name": "Temperature",
+ "advanced": false,
+ "dynamic": false,
+ "info": "",
+ "rangeSpec": {
+ "step_type": "float",
+ "min": -1,
+ "max": 1,
+ "step": 0.1
},
- "data": {
- "type": "File",
- "node": {
- "template": {
- "path": {
- "type": "file",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [
- ".txt",
- ".md",
- ".mdx",
- ".csv",
- ".json",
- ".yaml",
- ".yml",
- ".xml",
- ".html",
- ".htm",
- ".pdf",
- ".docx",
- ".py",
- ".sh",
- ".sql",
- ".js",
- ".ts",
- ".tsx"
- ],
- "file_path": "51e2b78a-199b-4054-9f32-e288eef6924c/Langflow conversation.pdf",
- "password": false,
- "name": "path",
- "display_name": "Path",
- "advanced": false,
- "dynamic": false,
- "info": "Supported file types: txt, md, mdx, csv, json, yaml, yml, xml, html, htm, pdf, docx, py, sh, sql, js, ts, tsx",
- "load_from_db": false,
- "title_case": false,
- "value": ""
- },
- "code": {
- "type": "code",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "from pathlib import Path\nfrom typing import Any, Dict\n\nfrom langflow.base.data.utils import TEXT_FILE_TYPES, parse_text_file_to_record\nfrom langflow.custom import CustomComponent\nfrom langflow.schema import Record\n\n\nclass FileComponent(CustomComponent):\n display_name = \"File\"\n description = \"A generic file loader.\"\n icon = \"file-text\"\n\n def build_config(self) -> Dict[str, Any]:\n return {\n \"path\": {\n \"display_name\": \"Path\",\n \"field_type\": \"file\",\n \"file_types\": TEXT_FILE_TYPES,\n \"info\": f\"Supported file types: {', '.join(TEXT_FILE_TYPES)}\",\n },\n \"silent_errors\": {\n \"display_name\": \"Silent Errors\",\n \"advanced\": True,\n \"info\": \"If true, errors will not raise an exception.\",\n },\n }\n\n def load_file(self, path: str, silent_errors: bool = False) -> Record:\n resolved_path = self.resolve_path(path)\n path_obj = Path(resolved_path)\n extension = path_obj.suffix[1:].lower()\n if extension == \"doc\":\n raise ValueError(\"doc files are not supported. Please save as .docx\")\n if extension not in TEXT_FILE_TYPES:\n raise ValueError(f\"Unsupported file type: {extension}\")\n record = parse_text_file_to_record(resolved_path, silent_errors)\n self.status = record if record else \"No data\"\n return record or Record()\n\n def build(\n self,\n path: str,\n silent_errors: bool = False,\n ) -> Record:\n record = self.load_file(path, silent_errors)\n self.status = record\n return record\n",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "code",
- "advanced": true,
- "dynamic": true,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "silent_errors": {
- "type": "bool",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "silent_errors",
- "display_name": "Silent Errors",
- "advanced": true,
- "dynamic": false,
- "info": "If true, errors will not raise an exception.",
- "load_from_db": false,
- "title_case": false
- },
- "_type": "CustomComponent"
- },
- "description": "A generic file loader.",
- "icon": "file-text",
- "base_classes": [
- "Record"
- ],
- "display_name": "File",
- "documentation": "",
- "custom_fields": {
- "path": null,
- "silent_errors": null
- },
- "output_types": [
- "Record"
- ],
- "field_formatters": {},
- "frozen": false,
- "field_order": [],
- "beta": false
- },
- "id": "File-t0a6a"
- },
- "selected": false,
- "width": 384,
- "height": 281,
- "positionAbsolute": {
- "x": 2257.233450682836,
- "y": 1747.5389618367233
- },
- "dragging": false
+ "load_from_db": false,
+ "title_case": false
+ },
+ "_type": "CustomComponent"
},
- {
- "id": "RecursiveCharacterTextSplitter-tR9QM",
- "type": "genericNode",
- "position": {
- "x": 2791.013514133929,
- "y": 1462.9588953494142
- },
- "data": {
- "type": "RecursiveCharacterTextSplitter",
- "node": {
- "template": {
- "inputs": {
- "type": "Document",
- "required": true,
- "placeholder": "",
- "list": true,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "inputs",
- "display_name": "Input",
- "advanced": false,
- "input_types": [
- "Document",
- "Record"
- ],
- "dynamic": false,
- "info": "The texts to split.",
- "load_from_db": false,
- "title_case": false
- },
- "chunk_overlap": {
- "type": "int",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": 200,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "chunk_overlap",
- "display_name": "Chunk Overlap",
- "advanced": false,
- "dynamic": false,
- "info": "The amount of overlap between chunks.",
- "load_from_db": false,
- "title_case": false
- },
- "chunk_size": {
- "type": "int",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": 1000,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "chunk_size",
- "display_name": "Chunk Size",
- "advanced": false,
- "dynamic": false,
- "info": "The maximum length of each chunk.",
- "load_from_db": false,
- "title_case": false
- },
- "code": {
- "type": "code",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "from typing import Optional\n\nfrom langchain_core.documents import Document\nfrom langchain_text_splitters import RecursiveCharacterTextSplitter\n\nfrom langflow.custom import CustomComponent\nfrom langflow.schema import Record\nfrom langflow.utils.util import build_loader_repr_from_records, unescape_string\n\n\nclass RecursiveCharacterTextSplitterComponent(CustomComponent):\n display_name: str = \"Recursive Character Text Splitter\"\n description: str = \"Split text into chunks of a specified length.\"\n documentation: str = \"https://docs.langflow.org/components/text-splitters#recursivecharactertextsplitter\"\n\n def build_config(self):\n return {\n \"inputs\": {\n \"display_name\": \"Input\",\n \"info\": \"The texts to split.\",\n \"input_types\": [\"Document\", \"Record\"],\n },\n \"separators\": {\n \"display_name\": \"Separators\",\n \"info\": 'The characters to split on.\\nIf left empty defaults to [\"\\\\n\\\\n\", \"\\\\n\", \" \", \"\"].',\n \"is_list\": True,\n },\n \"chunk_size\": {\n \"display_name\": \"Chunk Size\",\n \"info\": \"The maximum length of each chunk.\",\n \"field_type\": \"int\",\n \"value\": 1000,\n },\n \"chunk_overlap\": {\n \"display_name\": \"Chunk Overlap\",\n \"info\": \"The amount of overlap between chunks.\",\n \"field_type\": \"int\",\n \"value\": 200,\n },\n \"code\": {\"show\": False},\n }\n\n def build(\n self,\n inputs: list[Document],\n separators: Optional[list[str]] = None,\n chunk_size: Optional[int] = 1000,\n chunk_overlap: Optional[int] = 200,\n ) -> list[Record]:\n \"\"\"\n Split text into chunks of a specified length.\n\n Args:\n separators (list[str]): The characters to split on.\n chunk_size (int): The maximum length of each chunk.\n chunk_overlap (int): The amount of overlap between chunks.\n length_function (function): The function to use to calculate the length of the text.\n\n Returns:\n list[str]: The chunks of text.\n \"\"\"\n\n if separators == \"\":\n separators = None\n elif separators:\n # check if the separators list has escaped characters\n # if there are escaped characters, unescape them\n separators = [unescape_string(x) for x in separators]\n\n # Make sure chunk_size and chunk_overlap are ints\n if isinstance(chunk_size, str):\n chunk_size = int(chunk_size)\n if isinstance(chunk_overlap, str):\n chunk_overlap = int(chunk_overlap)\n splitter = RecursiveCharacterTextSplitter(\n separators=separators,\n chunk_size=chunk_size,\n chunk_overlap=chunk_overlap,\n )\n documents = []\n for _input in inputs:\n if isinstance(_input, Record):\n documents.append(_input.to_lc_document())\n else:\n documents.append(_input)\n docs = splitter.split_documents(documents)\n records = self.to_records(docs)\n self.repr_value = build_loader_repr_from_records(records)\n return records\n",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "code",
- "advanced": true,
- "dynamic": true,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "separators": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": true,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "separators",
- "display_name": "Separators",
- "advanced": false,
- "dynamic": false,
- "info": "The characters to split on.\nIf left empty defaults to [\"\\n\\n\", \"\\n\", \" \", \"\"].",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ],
- "value": [
- ""
- ]
- },
- "_type": "CustomComponent"
- },
- "description": "Split text into chunks of a specified length.",
- "base_classes": [
- "Record"
- ],
- "display_name": "Recursive Character Text Splitter",
- "documentation": "https://docs.langflow.org/components/text-splitters#recursivecharactertextsplitter",
- "custom_fields": {
- "inputs": null,
- "separators": null,
- "chunk_size": null,
- "chunk_overlap": null
- },
- "output_types": [
- "Record"
- ],
- "field_formatters": {},
- "frozen": false,
- "field_order": [],
- "beta": false
- },
- "id": "RecursiveCharacterTextSplitter-tR9QM"
- },
- "selected": false,
- "width": 384,
- "height": 501,
- "positionAbsolute": {
- "x": 2791.013514133929,
- "y": 1462.9588953494142
- },
- "dragging": false
+ "description": "Generates text using OpenAI LLMs.",
+ "icon": "OpenAI",
+ "base_classes": ["object", "Text", "str"],
+ "display_name": "OpenAI",
+ "documentation": "",
+ "custom_fields": {
+ "input_value": null,
+ "openai_api_key": null,
+ "temperature": null,
+ "model_name": null,
+ "max_tokens": null,
+ "model_kwargs": null,
+ "openai_api_base": null,
+ "stream": null,
+ "system_message": null
},
- {
- "id": "AstraDBSearch-41nRz",
- "type": "genericNode",
- "position": {
- "x": 1723.976434815103,
- "y": 277.03317407245913
- },
- "data": {
- "type": "AstraDBSearch",
- "node": {
- "template": {
- "embedding": {
- "type": "Embeddings",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "embedding",
- "display_name": "Embedding",
- "advanced": false,
- "dynamic": false,
- "info": "Embedding to use",
- "load_from_db": false,
- "title_case": false
- },
- "input_value": {
- "type": "str",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "input_value",
- "display_name": "Input Value",
- "advanced": false,
- "dynamic": false,
- "info": "Input value to search",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "api_endpoint": {
- "type": "str",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "api_endpoint",
- "display_name": "API Endpoint",
- "advanced": false,
- "dynamic": false,
- "info": "API endpoint URL for the Astra DB service.",
- "load_from_db": true,
- "title_case": false,
- "input_types": [
- "Text"
- ],
- "value": "ASTRA_DB_API_ENDPOINT"
- },
- "batch_size": {
- "type": "int",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "batch_size",
- "display_name": "Batch Size",
- "advanced": true,
- "dynamic": false,
- "info": "Optional number of records to process in a single batch.",
- "load_from_db": false,
- "title_case": false
- },
- "bulk_delete_concurrency": {
- "type": "int",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "bulk_delete_concurrency",
- "display_name": "Bulk Delete Concurrency",
- "advanced": true,
- "dynamic": false,
- "info": "Optional concurrency level for bulk delete operations.",
- "load_from_db": false,
- "title_case": false
- },
- "bulk_insert_batch_concurrency": {
- "type": "int",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "bulk_insert_batch_concurrency",
- "display_name": "Bulk Insert Batch Concurrency",
- "advanced": true,
- "dynamic": false,
- "info": "Optional concurrency level for bulk insert operations.",
- "load_from_db": false,
- "title_case": false
- },
- "bulk_insert_overwrite_concurrency": {
- "type": "int",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "bulk_insert_overwrite_concurrency",
- "display_name": "Bulk Insert Overwrite Concurrency",
- "advanced": true,
- "dynamic": false,
- "info": "Optional concurrency level for bulk insert operations that overwrite existing records.",
- "load_from_db": false,
- "title_case": false
- },
- "code": {
- "type": "code",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "from typing import List, Optional\n\nfrom langflow.components.vectorstores.AstraDB import AstraDBVectorStoreComponent\nfrom langflow.components.vectorstores.base.model import LCVectorStoreComponent\nfrom langflow.field_typing import Embeddings, Text\nfrom langflow.schema import Record\n\n\nclass AstraDBSearchComponent(LCVectorStoreComponent):\n display_name = \"Astra DB Search\"\n description = \"Searches an existing Astra DB Vector Store.\"\n icon = \"AstraDB\"\n field_order = [\"token\", \"api_endpoint\", \"collection_name\", \"input_value\", \"embedding\"]\n\n def build_config(self):\n return {\n \"search_type\": {\n \"display_name\": \"Search Type\",\n \"options\": [\"Similarity\", \"MMR\"],\n },\n \"input_value\": {\n \"display_name\": \"Input Value\",\n \"info\": \"Input value to search\",\n },\n \"embedding\": {\"display_name\": \"Embedding\", \"info\": \"Embedding to use\"},\n \"collection_name\": {\n \"display_name\": \"Collection Name\",\n \"info\": \"The name of the collection within Astra DB where the vectors will be stored.\",\n },\n \"token\": {\n \"display_name\": \"Token\",\n \"info\": \"Authentication token for accessing Astra DB.\",\n \"password\": True,\n },\n \"api_endpoint\": {\n \"display_name\": \"API Endpoint\",\n \"info\": \"API endpoint URL for the Astra DB service.\",\n },\n \"namespace\": {\n \"display_name\": \"Namespace\",\n \"info\": \"Optional namespace within Astra DB to use for the collection.\",\n \"advanced\": True,\n },\n \"metric\": {\n \"display_name\": \"Metric\",\n \"info\": \"Optional distance metric for vector comparisons in the vector store.\",\n \"advanced\": True,\n },\n \"batch_size\": {\n \"display_name\": \"Batch Size\",\n \"info\": \"Optional number of records to process in a single batch.\",\n \"advanced\": True,\n },\n \"bulk_insert_batch_concurrency\": {\n \"display_name\": \"Bulk Insert Batch Concurrency\",\n \"info\": \"Optional concurrency level for bulk insert operations.\",\n \"advanced\": True,\n },\n \"bulk_insert_overwrite_concurrency\": {\n \"display_name\": \"Bulk Insert Overwrite Concurrency\",\n \"info\": \"Optional concurrency level for bulk insert operations that overwrite existing records.\",\n \"advanced\": True,\n },\n \"bulk_delete_concurrency\": {\n \"display_name\": \"Bulk Delete Concurrency\",\n \"info\": \"Optional concurrency level for bulk delete operations.\",\n \"advanced\": True,\n },\n \"setup_mode\": {\n \"display_name\": \"Setup Mode\",\n \"info\": \"Configuration mode for setting up the vector store, with options like \u201cSync\u201d, \u201cAsync\u201d, or \u201cOff\u201d.\",\n \"options\": [\"Sync\", \"Async\", \"Off\"],\n \"advanced\": True,\n },\n \"pre_delete_collection\": {\n \"display_name\": \"Pre Delete Collection\",\n \"info\": \"Boolean flag to determine whether to delete the collection before creating a new one.\",\n \"advanced\": True,\n },\n \"metadata_indexing_include\": {\n \"display_name\": \"Metadata Indexing Include\",\n \"info\": \"Optional list of metadata fields to include in the indexing.\",\n \"advanced\": True,\n },\n \"metadata_indexing_exclude\": {\n \"display_name\": \"Metadata Indexing Exclude\",\n \"info\": \"Optional list of metadata fields to exclude from the indexing.\",\n \"advanced\": True,\n },\n \"collection_indexing_policy\": {\n \"display_name\": \"Collection Indexing Policy\",\n \"info\": \"Optional dictionary defining the indexing policy for the collection.\",\n \"advanced\": True,\n },\n \"number_of_results\": {\n \"display_name\": \"Number of Results\",\n \"info\": \"Number of results to return.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n embedding: Embeddings,\n collection_name: str,\n input_value: Text,\n token: str,\n api_endpoint: str,\n search_type: str = \"Similarity\",\n number_of_results: int = 4,\n namespace: Optional[str] = None,\n metric: Optional[str] = None,\n batch_size: Optional[int] = None,\n bulk_insert_batch_concurrency: Optional[int] = None,\n bulk_insert_overwrite_concurrency: Optional[int] = None,\n bulk_delete_concurrency: Optional[int] = None,\n setup_mode: str = \"Sync\",\n pre_delete_collection: bool = False,\n metadata_indexing_include: Optional[List[str]] = None,\n metadata_indexing_exclude: Optional[List[str]] = None,\n collection_indexing_policy: Optional[dict] = None,\n ) -> List[Record]:\n vector_store = AstraDBVectorStoreComponent().build(\n embedding=embedding,\n collection_name=collection_name,\n token=token,\n api_endpoint=api_endpoint,\n namespace=namespace,\n metric=metric,\n batch_size=batch_size,\n bulk_insert_batch_concurrency=bulk_insert_batch_concurrency,\n bulk_insert_overwrite_concurrency=bulk_insert_overwrite_concurrency,\n bulk_delete_concurrency=bulk_delete_concurrency,\n setup_mode=setup_mode,\n pre_delete_collection=pre_delete_collection,\n metadata_indexing_include=metadata_indexing_include,\n metadata_indexing_exclude=metadata_indexing_exclude,\n collection_indexing_policy=collection_indexing_policy,\n )\n try:\n return self.search_with_vector_store(input_value, search_type, vector_store, k=number_of_results)\n except KeyError as e:\n if \"content\" in str(e):\n raise ValueError(\n \"You should ingest data through Langflow (or LangChain) to query it in Langflow. Your collection does not contain a field name 'content'.\"\n )\n else:\n raise e\n",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "code",
- "advanced": true,
- "dynamic": true,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "collection_indexing_policy": {
- "type": "dict",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "collection_indexing_policy",
- "display_name": "Collection Indexing Policy",
- "advanced": true,
- "dynamic": false,
- "info": "Optional dictionary defining the indexing policy for the collection.",
- "load_from_db": false,
- "title_case": false
- },
- "collection_name": {
- "type": "str",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "collection_name",
- "display_name": "Collection Name",
- "advanced": false,
- "dynamic": false,
- "info": "The name of the collection within Astra DB where the vectors will be stored.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ],
- "value": "langflow"
- },
- "metadata_indexing_exclude": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": true,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "metadata_indexing_exclude",
- "display_name": "Metadata Indexing Exclude",
- "advanced": true,
- "dynamic": false,
- "info": "Optional list of metadata fields to exclude from the indexing.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "metadata_indexing_include": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": true,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "metadata_indexing_include",
- "display_name": "Metadata Indexing Include",
- "advanced": true,
- "dynamic": false,
- "info": "Optional list of metadata fields to include in the indexing.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "metric": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "metric",
- "display_name": "Metric",
- "advanced": true,
- "dynamic": false,
- "info": "Optional distance metric for vector comparisons in the vector store.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "namespace": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "namespace",
- "display_name": "Namespace",
- "advanced": true,
- "dynamic": false,
- "info": "Optional namespace within Astra DB to use for the collection.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "number_of_results": {
- "type": "int",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": 4,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "number_of_results",
- "display_name": "Number of Results",
- "advanced": true,
- "dynamic": false,
- "info": "Number of results to return.",
- "load_from_db": false,
- "title_case": false
- },
- "pre_delete_collection": {
- "type": "bool",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "pre_delete_collection",
- "display_name": "Pre Delete Collection",
- "advanced": true,
- "dynamic": false,
- "info": "Boolean flag to determine whether to delete the collection before creating a new one.",
- "load_from_db": false,
- "title_case": false
- },
- "search_type": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": true,
- "show": true,
- "multiline": false,
- "value": "Similarity",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "options": [
- "Similarity",
- "MMR"
- ],
- "name": "search_type",
- "display_name": "Search Type",
- "advanced": false,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "setup_mode": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": true,
- "show": true,
- "multiline": false,
- "value": "Sync",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "options": [
- "Sync",
- "Async",
- "Off"
- ],
- "name": "setup_mode",
- "display_name": "Setup Mode",
- "advanced": true,
- "dynamic": false,
- "info": "Configuration mode for setting up the vector store, with options like \u201cSync\u201d, \u201cAsync\u201d, or \u201cOff\u201d.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "token": {
- "type": "str",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": true,
- "name": "token",
- "display_name": "Token",
- "advanced": false,
- "dynamic": false,
- "info": "Authentication token for accessing Astra DB.",
- "load_from_db": true,
- "title_case": false,
- "input_types": [
- "Text"
- ],
- "value": "ASTRA_DB_APPLICATION_TOKEN"
- },
- "_type": "CustomComponent"
- },
- "description": "Searches an existing Astra DB Vector Store.",
- "icon": "AstraDB",
- "base_classes": [
- "Record"
- ],
- "display_name": "Astra DB Search",
- "documentation": "",
- "custom_fields": {
- "embedding": null,
- "collection_name": null,
- "input_value": null,
- "token": null,
- "api_endpoint": null,
- "search_type": null,
- "number_of_results": null,
- "namespace": null,
- "metric": null,
- "batch_size": null,
- "bulk_insert_batch_concurrency": null,
- "bulk_insert_overwrite_concurrency": null,
- "bulk_delete_concurrency": null,
- "setup_mode": null,
- "pre_delete_collection": null,
- "metadata_indexing_include": null,
- "metadata_indexing_exclude": null,
- "collection_indexing_policy": null
- },
- "output_types": [
- "Record"
- ],
- "field_formatters": {},
- "frozen": false,
- "field_order": [
- "token",
- "api_endpoint",
- "collection_name",
- "input_value",
- "embedding"
- ],
- "beta": false
- },
- "id": "AstraDBSearch-41nRz"
- },
- "selected": false,
- "width": 384,
- "height": 713,
- "dragging": false,
- "positionAbsolute": {
- "x": 1723.976434815103,
- "y": 277.03317407245913
- }
+ "output_types": ["Text"],
+ "field_formatters": {},
+ "frozen": false,
+ "field_order": [
+ "max_tokens",
+ "model_kwargs",
+ "model_name",
+ "openai_api_base",
+ "openai_api_key",
+ "temperature",
+ "input_value",
+ "system_message",
+ "stream"
+ ],
+ "beta": false
+ },
+ "id": "OpenAIModel-EjXlN"
+ },
+ "selected": true,
+ "width": 384,
+ "height": 563,
+ "positionAbsolute": {
+ "x": 3410.117202077183,
+ "y": 431.2038048137648
+ },
+ "dragging": false
+ },
+ {
+ "id": "Prompt-xeI6K",
+ "type": "genericNode",
+ "position": {
+ "x": 2969.0261961391298,
+ "y": 442.1613649809069
+ },
+ "data": {
+ "type": "Prompt",
+ "node": {
+ "template": {
+ "code": {
+ "type": "code",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "from langchain_core.prompts import PromptTemplate\n\nfrom langflow.custom import CustomComponent\nfrom langflow.field_typing import Prompt, TemplateField, Text\n\n\nclass PromptComponent(CustomComponent):\n display_name: str = \"Prompt\"\n description: str = \"Create a prompt template with dynamic variables.\"\n icon = \"prompts\"\n\n def build_config(self):\n return {\n \"template\": TemplateField(display_name=\"Template\"),\n \"code\": TemplateField(advanced=True),\n }\n\n def build(\n self,\n template: Prompt,\n **kwargs,\n ) -> Text:\n from langflow.base.prompts.utils import dict_values_to_string\n\n prompt_template = PromptTemplate.from_template(Text(template))\n kwargs = dict_values_to_string(kwargs)\n kwargs = {k: \"\\n\".join(v) if isinstance(v, list) else v for k, v in kwargs.items()}\n try:\n formated_prompt = prompt_template.format(**kwargs)\n except Exception as exc:\n raise ValueError(f\"Error formatting prompt: {exc}\") from exc\n self.status = f'Prompt:\\n\"{formated_prompt}\"'\n return formated_prompt\n",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "code",
+ "advanced": true,
+ "dynamic": true,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "template": {
+ "type": "prompt",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": "{context}\n\n---\n\nGiven the context above, answer the question as best as possible.\n\nQuestion: {question}\n\nAnswer: ",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "template",
+ "display_name": "Template",
+ "advanced": false,
+ "input_types": ["Text"],
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "_type": "CustomComponent",
+ "context": {
+ "field_type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "context",
+ "display_name": "context",
+ "advanced": false,
+ "input_types": [
+ "Document",
+ "BaseOutputParser",
+ "Record",
+ "Text"
+ ],
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "type": "str"
+ },
+ "question": {
+ "field_type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "question",
+ "display_name": "question",
+ "advanced": false,
+ "input_types": [
+ "Document",
+ "BaseOutputParser",
+ "Record",
+ "Text"
+ ],
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "type": "str"
+ }
},
- {
- "id": "AstraDB-eUCSS",
- "type": "genericNode",
- "position": {
- "x": 3372.04958055989,
- "y": 1611.0742035495277
- },
- "data": {
- "type": "AstraDB",
- "node": {
- "template": {
- "embedding": {
- "type": "Embeddings",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "embedding",
- "display_name": "Embedding",
- "advanced": false,
- "dynamic": false,
- "info": "Embedding to use",
- "load_from_db": false,
- "title_case": false
- },
- "inputs": {
- "type": "Record",
- "required": false,
- "placeholder": "",
- "list": true,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "inputs",
- "display_name": "Inputs",
- "advanced": false,
- "dynamic": false,
- "info": "Optional list of records to be processed and stored in the vector store.",
- "load_from_db": false,
- "title_case": false
- },
- "api_endpoint": {
- "type": "str",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "api_endpoint",
- "display_name": "API Endpoint",
- "advanced": false,
- "dynamic": false,
- "info": "API endpoint URL for the Astra DB service.",
- "load_from_db": true,
- "title_case": false,
- "input_types": [
- "Text"
- ],
- "value": "ASTRA_DB_API_ENDPOINT"
- },
- "batch_size": {
- "type": "int",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "batch_size",
- "display_name": "Batch Size",
- "advanced": true,
- "dynamic": false,
- "info": "Optional number of records to process in a single batch.",
- "load_from_db": false,
- "title_case": false
- },
- "bulk_delete_concurrency": {
- "type": "int",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "bulk_delete_concurrency",
- "display_name": "Bulk Delete Concurrency",
- "advanced": true,
- "dynamic": false,
- "info": "Optional concurrency level for bulk delete operations.",
- "load_from_db": false,
- "title_case": false
- },
- "bulk_insert_batch_concurrency": {
- "type": "int",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "bulk_insert_batch_concurrency",
- "display_name": "Bulk Insert Batch Concurrency",
- "advanced": true,
- "dynamic": false,
- "info": "Optional concurrency level for bulk insert operations.",
- "load_from_db": false,
- "title_case": false
- },
- "bulk_insert_overwrite_concurrency": {
- "type": "int",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "bulk_insert_overwrite_concurrency",
- "display_name": "Bulk Insert Overwrite Concurrency",
- "advanced": true,
- "dynamic": false,
- "info": "Optional concurrency level for bulk insert operations that overwrite existing records.",
- "load_from_db": false,
- "title_case": false
- },
- "code": {
- "type": "code",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "from typing import List, Optional, Union\nfrom langchain_astradb import AstraDBVectorStore\nfrom langchain_astradb.utils.astradb import SetupMode\n\nfrom langflow.custom import CustomComponent\nfrom langflow.field_typing import Embeddings, VectorStore\nfrom langflow.schema import Record\nfrom langchain_core.retrievers import BaseRetriever\n\n\nclass AstraDBVectorStoreComponent(CustomComponent):\n display_name = \"Astra DB\"\n description = \"Builds or loads an Astra DB Vector Store.\"\n icon = \"AstraDB\"\n field_order = [\"token\", \"api_endpoint\", \"collection_name\", \"inputs\", \"embedding\"]\n\n def build_config(self):\n return {\n \"inputs\": {\n \"display_name\": \"Inputs\",\n \"info\": \"Optional list of records to be processed and stored in the vector store.\",\n },\n \"embedding\": {\"display_name\": \"Embedding\", \"info\": \"Embedding to use\"},\n \"collection_name\": {\n \"display_name\": \"Collection Name\",\n \"info\": \"The name of the collection within Astra DB where the vectors will be stored.\",\n },\n \"token\": {\n \"display_name\": \"Token\",\n \"info\": \"Authentication token for accessing Astra DB.\",\n \"password\": True,\n },\n \"api_endpoint\": {\n \"display_name\": \"API Endpoint\",\n \"info\": \"API endpoint URL for the Astra DB service.\",\n },\n \"namespace\": {\n \"display_name\": \"Namespace\",\n \"info\": \"Optional namespace within Astra DB to use for the collection.\",\n \"advanced\": True,\n },\n \"metric\": {\n \"display_name\": \"Metric\",\n \"info\": \"Optional distance metric for vector comparisons in the vector store.\",\n \"advanced\": True,\n },\n \"batch_size\": {\n \"display_name\": \"Batch Size\",\n \"info\": \"Optional number of records to process in a single batch.\",\n \"advanced\": True,\n },\n \"bulk_insert_batch_concurrency\": {\n \"display_name\": \"Bulk Insert Batch Concurrency\",\n \"info\": \"Optional concurrency level for bulk insert operations.\",\n \"advanced\": True,\n },\n \"bulk_insert_overwrite_concurrency\": {\n \"display_name\": \"Bulk Insert Overwrite Concurrency\",\n \"info\": \"Optional concurrency level for bulk insert operations that overwrite existing records.\",\n \"advanced\": True,\n },\n \"bulk_delete_concurrency\": {\n \"display_name\": \"Bulk Delete Concurrency\",\n \"info\": \"Optional concurrency level for bulk delete operations.\",\n \"advanced\": True,\n },\n \"setup_mode\": {\n \"display_name\": \"Setup Mode\",\n \"info\": \"Configuration mode for setting up the vector store, with options like \u201cSync\u201d, \u201cAsync\u201d, or \u201cOff\u201d.\",\n \"options\": [\"Sync\", \"Async\", \"Off\"],\n \"advanced\": True,\n },\n \"pre_delete_collection\": {\n \"display_name\": \"Pre Delete Collection\",\n \"info\": \"Boolean flag to determine whether to delete the collection before creating a new one.\",\n \"advanced\": True,\n },\n \"metadata_indexing_include\": {\n \"display_name\": \"Metadata Indexing Include\",\n \"info\": \"Optional list of metadata fields to include in the indexing.\",\n \"advanced\": True,\n },\n \"metadata_indexing_exclude\": {\n \"display_name\": \"Metadata Indexing Exclude\",\n \"info\": \"Optional list of metadata fields to exclude from the indexing.\",\n \"advanced\": True,\n },\n \"collection_indexing_policy\": {\n \"display_name\": \"Collection Indexing Policy\",\n \"info\": \"Optional dictionary defining the indexing policy for the collection.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n embedding: Embeddings,\n token: str,\n api_endpoint: str,\n collection_name: str,\n inputs: Optional[List[Record]] = None,\n namespace: Optional[str] = None,\n metric: Optional[str] = None,\n batch_size: Optional[int] = None,\n bulk_insert_batch_concurrency: Optional[int] = None,\n bulk_insert_overwrite_concurrency: Optional[int] = None,\n bulk_delete_concurrency: Optional[int] = None,\n setup_mode: str = \"Sync\",\n pre_delete_collection: bool = False,\n metadata_indexing_include: Optional[List[str]] = None,\n metadata_indexing_exclude: Optional[List[str]] = None,\n collection_indexing_policy: Optional[dict] = None,\n ) -> Union[VectorStore, BaseRetriever]:\n try:\n setup_mode_value = SetupMode[setup_mode.upper()]\n except KeyError:\n raise ValueError(f\"Invalid setup mode: {setup_mode}\")\n if inputs:\n documents = [_input.to_lc_document() for _input in inputs]\n\n vector_store = AstraDBVectorStore.from_documents(\n documents=documents,\n embedding=embedding,\n collection_name=collection_name,\n token=token,\n api_endpoint=api_endpoint,\n namespace=namespace,\n metric=metric,\n batch_size=batch_size,\n bulk_insert_batch_concurrency=bulk_insert_batch_concurrency,\n bulk_insert_overwrite_concurrency=bulk_insert_overwrite_concurrency,\n bulk_delete_concurrency=bulk_delete_concurrency,\n setup_mode=setup_mode_value,\n pre_delete_collection=pre_delete_collection,\n metadata_indexing_include=metadata_indexing_include,\n metadata_indexing_exclude=metadata_indexing_exclude,\n collection_indexing_policy=collection_indexing_policy,\n )\n else:\n vector_store = AstraDBVectorStore(\n embedding=embedding,\n collection_name=collection_name,\n token=token,\n api_endpoint=api_endpoint,\n namespace=namespace,\n metric=metric,\n batch_size=batch_size,\n bulk_insert_batch_concurrency=bulk_insert_batch_concurrency,\n bulk_insert_overwrite_concurrency=bulk_insert_overwrite_concurrency,\n bulk_delete_concurrency=bulk_delete_concurrency,\n setup_mode=setup_mode_value,\n pre_delete_collection=pre_delete_collection,\n metadata_indexing_include=metadata_indexing_include,\n metadata_indexing_exclude=metadata_indexing_exclude,\n collection_indexing_policy=collection_indexing_policy,\n )\n\n return vector_store\n",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "code",
- "advanced": true,
- "dynamic": true,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "collection_indexing_policy": {
- "type": "dict",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "collection_indexing_policy",
- "display_name": "Collection Indexing Policy",
- "advanced": true,
- "dynamic": false,
- "info": "Optional dictionary defining the indexing policy for the collection.",
- "load_from_db": false,
- "title_case": false
- },
- "collection_name": {
- "type": "str",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "collection_name",
- "display_name": "Collection Name",
- "advanced": false,
- "dynamic": false,
- "info": "The name of the collection within Astra DB where the vectors will be stored.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ],
- "value": "langflow"
- },
- "metadata_indexing_exclude": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": true,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "metadata_indexing_exclude",
- "display_name": "Metadata Indexing Exclude",
- "advanced": true,
- "dynamic": false,
- "info": "Optional list of metadata fields to exclude from the indexing.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "metadata_indexing_include": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": true,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "metadata_indexing_include",
- "display_name": "Metadata Indexing Include",
- "advanced": true,
- "dynamic": false,
- "info": "Optional list of metadata fields to include in the indexing.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "metric": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "metric",
- "display_name": "Metric",
- "advanced": true,
- "dynamic": false,
- "info": "Optional distance metric for vector comparisons in the vector store.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "namespace": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "namespace",
- "display_name": "Namespace",
- "advanced": true,
- "dynamic": false,
- "info": "Optional namespace within Astra DB to use for the collection.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "pre_delete_collection": {
- "type": "bool",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "pre_delete_collection",
- "display_name": "Pre Delete Collection",
- "advanced": true,
- "dynamic": false,
- "info": "Boolean flag to determine whether to delete the collection before creating a new one.",
- "load_from_db": false,
- "title_case": false
- },
- "setup_mode": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": true,
- "show": true,
- "multiline": false,
- "value": "Sync",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "options": [
- "Sync",
- "Async",
- "Off"
- ],
- "name": "setup_mode",
- "display_name": "Setup Mode",
- "advanced": true,
- "dynamic": false,
- "info": "Configuration mode for setting up the vector store, with options like \u201cSync\u201d, \u201cAsync\u201d, or \u201cOff\u201d.",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "token": {
- "type": "str",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": true,
- "name": "token",
- "display_name": "Token",
- "advanced": false,
- "dynamic": false,
- "info": "Authentication token for accessing Astra DB.",
- "load_from_db": true,
- "title_case": false,
- "input_types": [
- "Text"
- ],
- "value": "ASTRA_DB_APPLICATION_TOKEN"
- },
- "_type": "CustomComponent"
- },
- "description": "Builds or loads an Astra DB Vector Store.",
- "icon": "AstraDB",
- "base_classes": [
- "VectorStore"
- ],
- "display_name": "Astra DB",
- "documentation": "",
- "custom_fields": {
- "embedding": null,
- "token": null,
- "api_endpoint": null,
- "collection_name": null,
- "inputs": null,
- "namespace": null,
- "metric": null,
- "batch_size": null,
- "bulk_insert_batch_concurrency": null,
- "bulk_insert_overwrite_concurrency": null,
- "bulk_delete_concurrency": null,
- "setup_mode": null,
- "pre_delete_collection": null,
- "metadata_indexing_include": null,
- "metadata_indexing_exclude": null,
- "collection_indexing_policy": null
- },
- "output_types": [
- "VectorStore"
- ],
- "field_formatters": {},
- "frozen": false,
- "field_order": [
- "token",
- "api_endpoint",
- "collection_name",
- "inputs",
- "embedding"
- ],
- "beta": false
- },
- "id": "AstraDB-eUCSS"
- },
- "selected": false,
- "width": 384,
- "height": 573,
- "positionAbsolute": {
- "x": 3372.04958055989,
- "y": 1611.0742035495277
- },
- "dragging": false
+ "description": "Create a prompt template with dynamic variables.",
+ "icon": "prompts",
+ "is_input": null,
+ "is_output": null,
+ "is_composition": null,
+ "base_classes": ["object", "Text", "str"],
+ "name": "",
+ "display_name": "Prompt",
+ "documentation": "",
+ "custom_fields": {
+ "template": ["context", "question"]
},
- {
- "id": "OpenAIEmbeddings-9TPjc",
- "type": "genericNode",
- "position": {
- "x": 2814.0402191223047,
- "y": 1955.9268168273086
- },
- "data": {
- "type": "OpenAIEmbeddings",
- "node": {
- "template": {
- "allowed_special": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": [],
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "allowed_special",
- "display_name": "Allowed Special",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "chunk_size": {
- "type": "int",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": 1000,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "chunk_size",
- "display_name": "Chunk Size",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "client": {
- "type": "Any",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "client",
- "display_name": "Client",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "code": {
- "type": "code",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": true,
- "value": "from typing import Dict, List, Optional\n\nfrom langchain_openai.embeddings.base import OpenAIEmbeddings\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.custom import CustomComponent\nfrom langflow.field_typing import Embeddings, NestedDict\n\n\nclass OpenAIEmbeddingsComponent(CustomComponent):\n display_name = \"OpenAI Embeddings\"\n description = \"Generate embeddings using OpenAI models.\"\n\n def build_config(self):\n return {\n \"allowed_special\": {\n \"display_name\": \"Allowed Special\",\n \"advanced\": True,\n \"field_type\": \"str\",\n \"is_list\": True,\n },\n \"default_headers\": {\n \"display_name\": \"Default Headers\",\n \"advanced\": True,\n \"field_type\": \"dict\",\n },\n \"default_query\": {\n \"display_name\": \"Default Query\",\n \"advanced\": True,\n \"field_type\": \"NestedDict\",\n },\n \"disallowed_special\": {\n \"display_name\": \"Disallowed Special\",\n \"advanced\": True,\n \"field_type\": \"str\",\n \"is_list\": True,\n },\n \"chunk_size\": {\"display_name\": \"Chunk Size\", \"advanced\": True},\n \"client\": {\"display_name\": \"Client\", \"advanced\": True},\n \"deployment\": {\"display_name\": \"Deployment\", \"advanced\": True},\n \"embedding_ctx_length\": {\n \"display_name\": \"Embedding Context Length\",\n \"advanced\": True,\n },\n \"max_retries\": {\"display_name\": \"Max Retries\", \"advanced\": True},\n \"model\": {\n \"display_name\": \"Model\",\n \"advanced\": False,\n \"options\": [\n \"text-embedding-3-small\",\n \"text-embedding-3-large\",\n \"text-embedding-ada-002\",\n ],\n },\n \"model_kwargs\": {\"display_name\": \"Model Kwargs\", \"advanced\": True},\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"password\": True,\n \"advanced\": True,\n },\n \"openai_api_key\": {\"display_name\": \"OpenAI API Key\", \"password\": True},\n \"openai_api_type\": {\n \"display_name\": \"OpenAI API Type\",\n \"advanced\": True,\n \"password\": True,\n },\n \"openai_api_version\": {\n \"display_name\": \"OpenAI API Version\",\n \"advanced\": True,\n },\n \"openai_organization\": {\n \"display_name\": \"OpenAI Organization\",\n \"advanced\": True,\n },\n \"openai_proxy\": {\"display_name\": \"OpenAI Proxy\", \"advanced\": True},\n \"request_timeout\": {\"display_name\": \"Request Timeout\", \"advanced\": True},\n \"show_progress_bar\": {\n \"display_name\": \"Show Progress Bar\",\n \"advanced\": True,\n },\n \"skip_empty\": {\"display_name\": \"Skip Empty\", \"advanced\": True},\n \"tiktoken_model_name\": {\n \"display_name\": \"TikToken Model Name\",\n \"advanced\": True,\n },\n \"tiktoken_enable\": {\"display_name\": \"TikToken Enable\", \"advanced\": True},\n }\n\n def build(\n self,\n openai_api_key: str,\n default_headers: Optional[Dict[str, str]] = None,\n default_query: Optional[NestedDict] = {},\n allowed_special: List[str] = [],\n disallowed_special: List[str] = [\"all\"],\n chunk_size: int = 1000,\n deployment: str = \"text-embedding-ada-002\",\n embedding_ctx_length: int = 8191,\n max_retries: int = 6,\n model: str = \"text-embedding-ada-002\",\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n openai_api_type: Optional[str] = None,\n openai_api_version: Optional[str] = None,\n openai_organization: Optional[str] = None,\n openai_proxy: Optional[str] = None,\n request_timeout: Optional[float] = None,\n show_progress_bar: bool = False,\n skip_empty: bool = False,\n tiktoken_enable: bool = True,\n tiktoken_model_name: Optional[str] = None,\n ) -> Embeddings:\n # This is to avoid errors with Vector Stores (e.g Chroma)\n if disallowed_special == [\"all\"]:\n disallowed_special = \"all\" # type: ignore\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n return OpenAIEmbeddings(\n tiktoken_enabled=tiktoken_enable,\n default_headers=default_headers,\n default_query=default_query,\n allowed_special=set(allowed_special),\n disallowed_special=\"all\",\n chunk_size=chunk_size,\n deployment=deployment,\n embedding_ctx_length=embedding_ctx_length,\n max_retries=max_retries,\n model=model,\n model_kwargs=model_kwargs,\n base_url=openai_api_base,\n api_key=api_key,\n openai_api_type=openai_api_type,\n api_version=openai_api_version,\n organization=openai_organization,\n openai_proxy=openai_proxy,\n timeout=request_timeout,\n show_progress_bar=show_progress_bar,\n skip_empty=skip_empty,\n tiktoken_model_name=tiktoken_model_name,\n )\n",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "code",
- "advanced": true,
- "dynamic": true,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "default_headers": {
- "type": "dict",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "default_headers",
- "display_name": "Default Headers",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "default_query": {
- "type": "NestedDict",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": {},
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "default_query",
- "display_name": "Default Query",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "deployment": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": "text-embedding-ada-002",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "deployment",
- "display_name": "Deployment",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "disallowed_special": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": [
- "all"
- ],
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "disallowed_special",
- "display_name": "Disallowed Special",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "embedding_ctx_length": {
- "type": "int",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": 8191,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "embedding_ctx_length",
- "display_name": "Embedding Context Length",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "max_retries": {
- "type": "int",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": 6,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "max_retries",
- "display_name": "Max Retries",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "model": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": true,
- "show": true,
- "multiline": false,
- "value": "text-embedding-ada-002",
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "options": [
- "text-embedding-3-small",
- "text-embedding-3-large",
- "text-embedding-ada-002"
- ],
- "name": "model",
- "display_name": "Model",
- "advanced": false,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "model_kwargs": {
- "type": "NestedDict",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": {},
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "model_kwargs",
- "display_name": "Model Kwargs",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "openai_api_base": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": true,
- "name": "openai_api_base",
- "display_name": "OpenAI API Base",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "openai_api_key": {
- "type": "str",
- "required": true,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": true,
- "name": "openai_api_key",
- "display_name": "OpenAI API Key",
- "advanced": false,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ],
- "value": "OPENAI_API_KEY"
- },
- "openai_api_type": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": true,
- "name": "openai_api_type",
- "display_name": "OpenAI API Type",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "openai_api_version": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "openai_api_version",
- "display_name": "OpenAI API Version",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "openai_organization": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "openai_organization",
- "display_name": "OpenAI Organization",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "openai_proxy": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "openai_proxy",
- "display_name": "OpenAI Proxy",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "request_timeout": {
- "type": "float",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "request_timeout",
- "display_name": "Request Timeout",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "rangeSpec": {
- "step_type": "float",
- "min": -1,
- "max": 1,
- "step": 0.1
- },
- "load_from_db": false,
- "title_case": false
- },
- "show_progress_bar": {
- "type": "bool",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "show_progress_bar",
- "display_name": "Show Progress Bar",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "skip_empty": {
- "type": "bool",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "skip_empty",
- "display_name": "Skip Empty",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "tiktoken_enable": {
- "type": "bool",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "value": true,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "tiktoken_enable",
- "display_name": "TikToken Enable",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false
- },
- "tiktoken_model_name": {
- "type": "str",
- "required": false,
- "placeholder": "",
- "list": false,
- "show": true,
- "multiline": false,
- "fileTypes": [],
- "file_path": "",
- "password": false,
- "name": "tiktoken_model_name",
- "display_name": "TikToken Model Name",
- "advanced": true,
- "dynamic": false,
- "info": "",
- "load_from_db": false,
- "title_case": false,
- "input_types": [
- "Text"
- ]
- },
- "_type": "CustomComponent"
- },
- "description": "Generate embeddings using OpenAI models.",
- "base_classes": [
- "Embeddings"
- ],
- "display_name": "OpenAI Embeddings",
- "documentation": "",
- "custom_fields": {
- "openai_api_key": null,
- "default_headers": null,
- "default_query": null,
- "allowed_special": null,
- "disallowed_special": null,
- "chunk_size": null,
- "client": null,
- "deployment": null,
- "embedding_ctx_length": null,
- "max_retries": null,
- "model": null,
- "model_kwargs": null,
- "openai_api_base": null,
- "openai_api_type": null,
- "openai_api_version": null,
- "openai_organization": null,
- "openai_proxy": null,
- "request_timeout": null,
- "show_progress_bar": null,
- "skip_empty": null,
- "tiktoken_enable": null,
- "tiktoken_model_name": null
- },
- "output_types": [
- "Embeddings"
- ],
- "field_formatters": {},
- "frozen": false,
- "field_order": [],
- "beta": false
- },
- "id": "OpenAIEmbeddings-9TPjc"
- },
- "selected": false,
- "width": 384,
- "height": 383,
- "positionAbsolute": {
- "x": 2814.0402191223047,
- "y": 1955.9268168273086
- },
- "dragging": false
- }
- ],
- "edges": [
- {
- "source": "TextOutput-BDknO",
- "target": "Prompt-xeI6K",
- "sourceHandle": "{\u0153baseClasses\u0153:[\u0153object\u0153,\u0153Text\u0153,\u0153str\u0153],\u0153dataType\u0153:\u0153TextOutput\u0153,\u0153id\u0153:\u0153TextOutput-BDknO\u0153}",
- "targetHandle": "{\u0153fieldName\u0153:\u0153context\u0153,\u0153id\u0153:\u0153Prompt-xeI6K\u0153,\u0153inputTypes\u0153:[\u0153Document\u0153,\u0153BaseOutputParser\u0153,\u0153Record\u0153,\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}",
- "id": "reactflow__edge-TextOutput-BDknO{\u0153baseClasses\u0153:[\u0153object\u0153,\u0153Text\u0153,\u0153str\u0153],\u0153dataType\u0153:\u0153TextOutput\u0153,\u0153id\u0153:\u0153TextOutput-BDknO\u0153}-Prompt-xeI6K{\u0153fieldName\u0153:\u0153context\u0153,\u0153id\u0153:\u0153Prompt-xeI6K\u0153,\u0153inputTypes\u0153:[\u0153Document\u0153,\u0153BaseOutputParser\u0153,\u0153Record\u0153,\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}",
- "data": {
- "targetHandle": {
- "fieldName": "context",
- "id": "Prompt-xeI6K",
- "inputTypes": [
- "Document",
- "BaseOutputParser",
- "Record",
- "Text"
- ],
- "type": "str"
- },
- "sourceHandle": {
- "baseClasses": [
- "object",
- "Text",
- "str"
- ],
- "dataType": "TextOutput",
- "id": "TextOutput-BDknO"
- }
- },
- "style": {
- "stroke": "#555"
- },
- "className": "stroke-gray-900 stroke-connection",
- "selected": false
+ "output_types": ["Text"],
+ "full_path": null,
+ "field_formatters": {},
+ "frozen": false,
+ "field_order": [],
+ "beta": false,
+ "error": null
+ },
+ "id": "Prompt-xeI6K",
+ "description": "Create a prompt template with dynamic variables.",
+ "display_name": "Prompt"
+ },
+ "selected": false,
+ "width": 384,
+ "height": 477,
+ "positionAbsolute": {
+ "x": 2969.0261961391298,
+ "y": 442.1613649809069
+ },
+ "dragging": false
+ },
+ {
+ "id": "ChatOutput-Q39I8",
+ "type": "genericNode",
+ "position": {
+ "x": 3887.2073667611485,
+ "y": 588.4801225794856
+ },
+ "data": {
+ "type": "ChatOutput",
+ "node": {
+ "template": {
+ "code": {
+ "type": "code",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n record_template: Optional[str] = \"{text}\",\n ) -> Union[Text, Record]:\n return super().build_with_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n record_template=record_template or \"\",\n )\n",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "code",
+ "advanced": true,
+ "dynamic": true,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "input_value": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "input_value",
+ "display_name": "Message",
+ "advanced": false,
+ "input_types": ["Text"],
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "record_template": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "{text}",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "record_template",
+ "display_name": "Record Template",
+ "advanced": true,
+ "dynamic": false,
+ "info": "In case of Message being a Record, this template will be used to convert it to text.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "return_record": {
+ "type": "bool",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "return_record",
+ "display_name": "Return Record",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Return the message as a record containing the sender, sender_name, and session_id.",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "sender": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": true,
+ "show": true,
+ "multiline": false,
+ "value": "Machine",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "options": ["Machine", "User"],
+ "name": "sender",
+ "display_name": "Sender Type",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "sender_name": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": "AI",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "sender_name",
+ "display_name": "Sender Name",
+ "advanced": false,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "session_id": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "session_id",
+ "display_name": "Session ID",
+ "advanced": true,
+ "dynamic": false,
+ "info": "If provided, the message will be stored in the memory.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "_type": "CustomComponent"
},
- {
- "source": "ChatInput-yxMKE",
- "target": "Prompt-xeI6K",
- "sourceHandle": "{\u0153baseClasses\u0153:[\u0153Text\u0153,\u0153str\u0153,\u0153object\u0153,\u0153Record\u0153],\u0153dataType\u0153:\u0153ChatInput\u0153,\u0153id\u0153:\u0153ChatInput-yxMKE\u0153}",
- "targetHandle": "{\u0153fieldName\u0153:\u0153question\u0153,\u0153id\u0153:\u0153Prompt-xeI6K\u0153,\u0153inputTypes\u0153:[\u0153Document\u0153,\u0153BaseOutputParser\u0153,\u0153Record\u0153,\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}",
- "id": "reactflow__edge-ChatInput-yxMKE{\u0153baseClasses\u0153:[\u0153Text\u0153,\u0153str\u0153,\u0153object\u0153,\u0153Record\u0153],\u0153dataType\u0153:\u0153ChatInput\u0153,\u0153id\u0153:\u0153ChatInput-yxMKE\u0153}-Prompt-xeI6K{\u0153fieldName\u0153:\u0153question\u0153,\u0153id\u0153:\u0153Prompt-xeI6K\u0153,\u0153inputTypes\u0153:[\u0153Document\u0153,\u0153BaseOutputParser\u0153,\u0153Record\u0153,\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}",
- "data": {
- "targetHandle": {
- "fieldName": "question",
- "id": "Prompt-xeI6K",
- "inputTypes": [
- "Document",
- "BaseOutputParser",
- "Record",
- "Text"
- ],
- "type": "str"
- },
- "sourceHandle": {
- "baseClasses": [
- "Text",
- "str",
- "object",
- "Record"
- ],
- "dataType": "ChatInput",
- "id": "ChatInput-yxMKE"
- }
- },
- "style": {
- "stroke": "#555"
- },
- "className": "stroke-gray-900 stroke-connection",
- "selected": false
+ "description": "Display a chat message in the Playground.",
+ "icon": "ChatOutput",
+ "base_classes": ["object", "Text", "Record", "str"],
+ "display_name": "Chat Output",
+ "documentation": "",
+ "custom_fields": {
+ "sender": null,
+ "sender_name": null,
+ "input_value": null,
+ "session_id": null,
+ "return_record": null,
+ "record_template": null
},
- {
- "source": "Prompt-xeI6K",
- "target": "OpenAIModel-EjXlN",
- "sourceHandle": "{\u0153baseClasses\u0153:[\u0153object\u0153,\u0153Text\u0153,\u0153str\u0153],\u0153dataType\u0153:\u0153Prompt\u0153,\u0153id\u0153:\u0153Prompt-xeI6K\u0153}",
- "targetHandle": "{\u0153fieldName\u0153:\u0153input_value\u0153,\u0153id\u0153:\u0153OpenAIModel-EjXlN\u0153,\u0153inputTypes\u0153:[\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}",
- "id": "reactflow__edge-Prompt-xeI6K{\u0153baseClasses\u0153:[\u0153object\u0153,\u0153Text\u0153,\u0153str\u0153],\u0153dataType\u0153:\u0153Prompt\u0153,\u0153id\u0153:\u0153Prompt-xeI6K\u0153}-OpenAIModel-EjXlN{\u0153fieldName\u0153:\u0153input_value\u0153,\u0153id\u0153:\u0153OpenAIModel-EjXlN\u0153,\u0153inputTypes\u0153:[\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}",
- "data": {
- "targetHandle": {
- "fieldName": "input_value",
- "id": "OpenAIModel-EjXlN",
- "inputTypes": [
- "Text"
- ],
- "type": "str"
- },
- "sourceHandle": {
- "baseClasses": [
- "object",
- "Text",
- "str"
- ],
- "dataType": "Prompt",
- "id": "Prompt-xeI6K"
- }
- },
- "style": {
- "stroke": "#555"
- },
- "className": "stroke-gray-900 stroke-connection",
- "selected": false
+ "output_types": ["Text", "Record"],
+ "field_formatters": {},
+ "frozen": false,
+ "field_order": [],
+ "beta": false
+ },
+ "id": "ChatOutput-Q39I8"
+ },
+ "selected": false,
+ "width": 384,
+ "height": 383,
+ "positionAbsolute": {
+ "x": 3887.2073667611485,
+ "y": 588.4801225794856
+ },
+ "dragging": false
+ },
+ {
+ "id": "File-t0a6a",
+ "type": "genericNode",
+ "position": {
+ "x": 2257.233450682836,
+ "y": 1747.5389618367233
+ },
+ "data": {
+ "type": "File",
+ "node": {
+ "template": {
+ "path": {
+ "type": "file",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [
+ ".txt",
+ ".md",
+ ".mdx",
+ ".csv",
+ ".json",
+ ".yaml",
+ ".yml",
+ ".xml",
+ ".html",
+ ".htm",
+ ".pdf",
+ ".docx",
+ ".py",
+ ".sh",
+ ".sql",
+ ".js",
+ ".ts",
+ ".tsx"
+ ],
+ "file_path": "51e2b78a-199b-4054-9f32-e288eef6924c/Langflow conversation.pdf",
+ "password": false,
+ "name": "path",
+ "display_name": "Path",
+ "advanced": false,
+ "dynamic": false,
+ "info": "Supported file types: txt, md, mdx, csv, json, yaml, yml, xml, html, htm, pdf, docx, py, sh, sql, js, ts, tsx",
+ "load_from_db": false,
+ "title_case": false,
+ "value": ""
+ },
+ "code": {
+ "type": "code",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "from pathlib import Path\nfrom typing import Any, Dict\n\nfrom langflow.base.data.utils import TEXT_FILE_TYPES, parse_text_file_to_record\nfrom langflow.custom import CustomComponent\nfrom langflow.schema import Record\n\n\nclass FileComponent(CustomComponent):\n display_name = \"File\"\n description = \"A generic file loader.\"\n icon = \"file-text\"\n\n def build_config(self) -> Dict[str, Any]:\n return {\n \"path\": {\n \"display_name\": \"Path\",\n \"field_type\": \"file\",\n \"file_types\": TEXT_FILE_TYPES,\n \"info\": f\"Supported file types: {', '.join(TEXT_FILE_TYPES)}\",\n },\n \"silent_errors\": {\n \"display_name\": \"Silent Errors\",\n \"advanced\": True,\n \"info\": \"If true, errors will not raise an exception.\",\n },\n }\n\n def load_file(self, path: str, silent_errors: bool = False) -> Record:\n resolved_path = self.resolve_path(path)\n path_obj = Path(resolved_path)\n extension = path_obj.suffix[1:].lower()\n if extension == \"doc\":\n raise ValueError(\"doc files are not supported. Please save as .docx\")\n if extension not in TEXT_FILE_TYPES:\n raise ValueError(f\"Unsupported file type: {extension}\")\n record = parse_text_file_to_record(resolved_path, silent_errors)\n self.status = record if record else \"No data\"\n return record or Record()\n\n def build(\n self,\n path: str,\n silent_errors: bool = False,\n ) -> Record:\n record = self.load_file(path, silent_errors)\n self.status = record\n return record\n",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "code",
+ "advanced": true,
+ "dynamic": true,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "silent_errors": {
+ "type": "bool",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "silent_errors",
+ "display_name": "Silent Errors",
+ "advanced": true,
+ "dynamic": false,
+ "info": "If true, errors will not raise an exception.",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "_type": "CustomComponent"
},
- {
- "source": "OpenAIModel-EjXlN",
- "target": "ChatOutput-Q39I8",
- "sourceHandle": "{\u0153baseClasses\u0153:[\u0153object\u0153,\u0153Text\u0153,\u0153str\u0153],\u0153dataType\u0153:\u0153OpenAIModel\u0153,\u0153id\u0153:\u0153OpenAIModel-EjXlN\u0153}",
- "targetHandle": "{\u0153fieldName\u0153:\u0153input_value\u0153,\u0153id\u0153:\u0153ChatOutput-Q39I8\u0153,\u0153inputTypes\u0153:[\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}",
- "id": "reactflow__edge-OpenAIModel-EjXlN{\u0153baseClasses\u0153:[\u0153object\u0153,\u0153Text\u0153,\u0153str\u0153],\u0153dataType\u0153:\u0153OpenAIModel\u0153,\u0153id\u0153:\u0153OpenAIModel-EjXlN\u0153}-ChatOutput-Q39I8{\u0153fieldName\u0153:\u0153input_value\u0153,\u0153id\u0153:\u0153ChatOutput-Q39I8\u0153,\u0153inputTypes\u0153:[\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}",
- "data": {
- "targetHandle": {
- "fieldName": "input_value",
- "id": "ChatOutput-Q39I8",
- "inputTypes": [
- "Text"
- ],
- "type": "str"
- },
- "sourceHandle": {
- "baseClasses": [
- "object",
- "Text",
- "str"
- ],
- "dataType": "OpenAIModel",
- "id": "OpenAIModel-EjXlN"
- }
- },
- "style": {
- "stroke": "#555"
- },
- "className": "stroke-gray-900 stroke-connection",
- "selected": false
+ "description": "A generic file loader.",
+ "icon": "file-text",
+ "base_classes": ["Record"],
+ "display_name": "File",
+ "documentation": "",
+ "custom_fields": {
+ "path": null,
+ "silent_errors": null
},
- {
- "source": "File-t0a6a",
- "target": "RecursiveCharacterTextSplitter-tR9QM",
- "sourceHandle": "{\u0153baseClasses\u0153:[\u0153Record\u0153],\u0153dataType\u0153:\u0153File\u0153,\u0153id\u0153:\u0153File-t0a6a\u0153}",
- "targetHandle": "{\u0153fieldName\u0153:\u0153inputs\u0153,\u0153id\u0153:\u0153RecursiveCharacterTextSplitter-tR9QM\u0153,\u0153inputTypes\u0153:[\u0153Document\u0153,\u0153Record\u0153],\u0153type\u0153:\u0153Document\u0153}",
- "id": "reactflow__edge-File-t0a6a{\u0153baseClasses\u0153:[\u0153Record\u0153],\u0153dataType\u0153:\u0153File\u0153,\u0153id\u0153:\u0153File-t0a6a\u0153}-RecursiveCharacterTextSplitter-tR9QM{\u0153fieldName\u0153:\u0153inputs\u0153,\u0153id\u0153:\u0153RecursiveCharacterTextSplitter-tR9QM\u0153,\u0153inputTypes\u0153:[\u0153Document\u0153,\u0153Record\u0153],\u0153type\u0153:\u0153Document\u0153}",
- "data": {
- "targetHandle": {
- "fieldName": "inputs",
- "id": "RecursiveCharacterTextSplitter-tR9QM",
- "inputTypes": [
- "Document",
- "Record"
- ],
- "type": "Document"
- },
- "sourceHandle": {
- "baseClasses": [
- "Record"
- ],
- "dataType": "File",
- "id": "File-t0a6a"
- }
- },
- "style": {
- "stroke": "#555"
- },
- "className": "stroke-gray-900 stroke-connection",
- "selected": false
+ "output_types": ["Record"],
+ "field_formatters": {},
+ "frozen": false,
+ "field_order": [],
+ "beta": false
+ },
+ "id": "File-t0a6a"
+ },
+ "selected": false,
+ "width": 384,
+ "height": 281,
+ "positionAbsolute": {
+ "x": 2257.233450682836,
+ "y": 1747.5389618367233
+ },
+ "dragging": false
+ },
+ {
+ "id": "RecursiveCharacterTextSplitter-tR9QM",
+ "type": "genericNode",
+ "position": {
+ "x": 2791.013514133929,
+ "y": 1462.9588953494142
+ },
+ "data": {
+ "type": "RecursiveCharacterTextSplitter",
+ "node": {
+ "template": {
+ "inputs": {
+ "type": "Document",
+ "required": true,
+ "placeholder": "",
+ "list": true,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "inputs",
+ "display_name": "Input",
+ "advanced": false,
+ "input_types": ["Document", "Record"],
+ "dynamic": false,
+ "info": "The texts to split.",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "chunk_overlap": {
+ "type": "int",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": 200,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "chunk_overlap",
+ "display_name": "Chunk Overlap",
+ "advanced": false,
+ "dynamic": false,
+ "info": "The amount of overlap between chunks.",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "chunk_size": {
+ "type": "int",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": 1000,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "chunk_size",
+ "display_name": "Chunk Size",
+ "advanced": false,
+ "dynamic": false,
+ "info": "The maximum length of each chunk.",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "code": {
+ "type": "code",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "from typing import Optional\n\nfrom langchain_core.documents import Document\nfrom langchain_text_splitters import RecursiveCharacterTextSplitter\n\nfrom langflow.custom import CustomComponent\nfrom langflow.schema import Record\nfrom langflow.utils.util import build_loader_repr_from_records, unescape_string\n\n\nclass RecursiveCharacterTextSplitterComponent(CustomComponent):\n display_name: str = \"Recursive Character Text Splitter\"\n description: str = \"Split text into chunks of a specified length.\"\n documentation: str = \"https://docs.langflow.org/components/text-splitters#recursivecharactertextsplitter\"\n\n def build_config(self):\n return {\n \"inputs\": {\n \"display_name\": \"Input\",\n \"info\": \"The texts to split.\",\n \"input_types\": [\"Document\", \"Record\"],\n },\n \"separators\": {\n \"display_name\": \"Separators\",\n \"info\": 'The characters to split on.\\nIf left empty defaults to [\"\\\\n\\\\n\", \"\\\\n\", \" \", \"\"].',\n \"is_list\": True,\n },\n \"chunk_size\": {\n \"display_name\": \"Chunk Size\",\n \"info\": \"The maximum length of each chunk.\",\n \"field_type\": \"int\",\n \"value\": 1000,\n },\n \"chunk_overlap\": {\n \"display_name\": \"Chunk Overlap\",\n \"info\": \"The amount of overlap between chunks.\",\n \"field_type\": \"int\",\n \"value\": 200,\n },\n \"code\": {\"show\": False},\n }\n\n def build(\n self,\n inputs: list[Document],\n separators: Optional[list[str]] = None,\n chunk_size: Optional[int] = 1000,\n chunk_overlap: Optional[int] = 200,\n ) -> list[Record]:\n \"\"\"\n Split text into chunks of a specified length.\n\n Args:\n separators (list[str]): The characters to split on.\n chunk_size (int): The maximum length of each chunk.\n chunk_overlap (int): The amount of overlap between chunks.\n length_function (function): The function to use to calculate the length of the text.\n\n Returns:\n list[str]: The chunks of text.\n \"\"\"\n\n if separators == \"\":\n separators = None\n elif separators:\n # check if the separators list has escaped characters\n # if there are escaped characters, unescape them\n separators = [unescape_string(x) for x in separators]\n\n # Make sure chunk_size and chunk_overlap are ints\n if isinstance(chunk_size, str):\n chunk_size = int(chunk_size)\n if isinstance(chunk_overlap, str):\n chunk_overlap = int(chunk_overlap)\n splitter = RecursiveCharacterTextSplitter(\n separators=separators,\n chunk_size=chunk_size,\n chunk_overlap=chunk_overlap,\n )\n documents = []\n for _input in inputs:\n if isinstance(_input, Record):\n documents.append(_input.to_lc_document())\n else:\n documents.append(_input)\n docs = splitter.split_documents(documents)\n records = self.to_records(docs)\n self.repr_value = build_loader_repr_from_records(records)\n return records\n",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "code",
+ "advanced": true,
+ "dynamic": true,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "separators": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": true,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "separators",
+ "display_name": "Separators",
+ "advanced": false,
+ "dynamic": false,
+ "info": "The characters to split on.\nIf left empty defaults to [\"\\n\\n\", \"\\n\", \" \", \"\"].",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"],
+ "value": [""]
+ },
+ "_type": "CustomComponent"
},
- {
- "source": "OpenAIEmbeddings-ZlOk1",
- "sourceHandle": "{\u0153baseClasses\u0153:[\u0153Embeddings\u0153],\u0153dataType\u0153:\u0153OpenAIEmbeddings\u0153,\u0153id\u0153:\u0153OpenAIEmbeddings-ZlOk1\u0153}",
- "target": "AstraDBSearch-41nRz",
- "targetHandle": "{\u0153fieldName\u0153:\u0153embedding\u0153,\u0153id\u0153:\u0153AstraDBSearch-41nRz\u0153,\u0153inputTypes\u0153:null,\u0153type\u0153:\u0153Embeddings\u0153}",
- "data": {
- "targetHandle": {
- "fieldName": "embedding",
- "id": "AstraDBSearch-41nRz",
- "inputTypes": null,
- "type": "Embeddings"
- },
- "sourceHandle": {
- "baseClasses": [
- "Embeddings"
- ],
- "dataType": "OpenAIEmbeddings",
- "id": "OpenAIEmbeddings-ZlOk1"
- }
- },
- "style": {
- "stroke": "#555"
- },
- "className": "stroke-gray-900 stroke-connection",
- "id": "reactflow__edge-OpenAIEmbeddings-ZlOk1{\u0153baseClasses\u0153:[\u0153Embeddings\u0153],\u0153dataType\u0153:\u0153OpenAIEmbeddings\u0153,\u0153id\u0153:\u0153OpenAIEmbeddings-ZlOk1\u0153}-AstraDBSearch-41nRz{\u0153fieldName\u0153:\u0153embedding\u0153,\u0153id\u0153:\u0153AstraDBSearch-41nRz\u0153,\u0153inputTypes\u0153:null,\u0153type\u0153:\u0153Embeddings\u0153}"
+ "description": "Split text into chunks of a specified length.",
+ "base_classes": ["Record"],
+ "display_name": "Recursive Character Text Splitter",
+ "documentation": "https://docs.langflow.org/components/text-splitters#recursivecharactertextsplitter",
+ "custom_fields": {
+ "inputs": null,
+ "separators": null,
+ "chunk_size": null,
+ "chunk_overlap": null
},
- {
- "source": "ChatInput-yxMKE",
- "sourceHandle": "{\u0153baseClasses\u0153:[\u0153Text\u0153,\u0153str\u0153,\u0153object\u0153,\u0153Record\u0153],\u0153dataType\u0153:\u0153ChatInput\u0153,\u0153id\u0153:\u0153ChatInput-yxMKE\u0153}",
- "target": "AstraDBSearch-41nRz",
- "targetHandle": "{\u0153fieldName\u0153:\u0153input_value\u0153,\u0153id\u0153:\u0153AstraDBSearch-41nRz\u0153,\u0153inputTypes\u0153:[\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}",
- "data": {
- "targetHandle": {
- "fieldName": "input_value",
- "id": "AstraDBSearch-41nRz",
- "inputTypes": [
- "Text"
- ],
- "type": "str"
- },
- "sourceHandle": {
- "baseClasses": [
- "Text",
- "str",
- "object",
- "Record"
- ],
- "dataType": "ChatInput",
- "id": "ChatInput-yxMKE"
- }
- },
- "style": {
- "stroke": "#555"
- },
- "className": "stroke-gray-900 stroke-connection",
- "id": "reactflow__edge-ChatInput-yxMKE{\u0153baseClasses\u0153:[\u0153Text\u0153,\u0153str\u0153,\u0153object\u0153,\u0153Record\u0153],\u0153dataType\u0153:\u0153ChatInput\u0153,\u0153id\u0153:\u0153ChatInput-yxMKE\u0153}-AstraDBSearch-41nRz{\u0153fieldName\u0153:\u0153input_value\u0153,\u0153id\u0153:\u0153AstraDBSearch-41nRz\u0153,\u0153inputTypes\u0153:[\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}"
+ "output_types": ["Record"],
+ "field_formatters": {},
+ "frozen": false,
+ "field_order": [],
+ "beta": false
+ },
+ "id": "RecursiveCharacterTextSplitter-tR9QM"
+ },
+ "selected": false,
+ "width": 384,
+ "height": 501,
+ "positionAbsolute": {
+ "x": 2791.013514133929,
+ "y": 1462.9588953494142
+ },
+ "dragging": false
+ },
+ {
+ "id": "AstraDBSearch-41nRz",
+ "type": "genericNode",
+ "position": {
+ "x": 1723.976434815103,
+ "y": 277.03317407245913
+ },
+ "data": {
+ "type": "AstraDBSearch",
+ "node": {
+ "template": {
+ "embedding": {
+ "type": "Embeddings",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "embedding",
+ "display_name": "Embedding",
+ "advanced": false,
+ "dynamic": false,
+ "info": "Embedding to use",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "input_value": {
+ "type": "str",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "input_value",
+ "display_name": "Input Value",
+ "advanced": false,
+ "dynamic": false,
+ "info": "Input value to search",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "api_endpoint": {
+ "type": "str",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "api_endpoint",
+ "display_name": "API Endpoint",
+ "advanced": false,
+ "dynamic": false,
+ "info": "API endpoint URL for the Astra DB service.",
+ "load_from_db": true,
+ "title_case": false,
+ "input_types": ["Text"],
+ "value": "ASTRA_DB_API_ENDPOINT"
+ },
+ "batch_size": {
+ "type": "int",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "batch_size",
+ "display_name": "Batch Size",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Optional number of records to process in a single batch.",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "bulk_delete_concurrency": {
+ "type": "int",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "bulk_delete_concurrency",
+ "display_name": "Bulk Delete Concurrency",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Optional concurrency level for bulk delete operations.",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "bulk_insert_batch_concurrency": {
+ "type": "int",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "bulk_insert_batch_concurrency",
+ "display_name": "Bulk Insert Batch Concurrency",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Optional concurrency level for bulk insert operations.",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "bulk_insert_overwrite_concurrency": {
+ "type": "int",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "bulk_insert_overwrite_concurrency",
+ "display_name": "Bulk Insert Overwrite Concurrency",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Optional concurrency level for bulk insert operations that overwrite existing records.",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "code": {
+ "type": "code",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "from typing import List, Optional\n\nfrom langflow.components.vectorstores.AstraDB import AstraDBVectorStoreComponent\nfrom langflow.components.vectorstores.base.model import LCVectorStoreComponent\nfrom langflow.field_typing import Embeddings, Text\nfrom langflow.schema import Record\n\n\nclass AstraDBSearchComponent(LCVectorStoreComponent):\n display_name = \"Astra DB Search\"\n description = \"Searches an existing Astra DB Vector Store.\"\n icon = \"AstraDB\"\n field_order = [\"token\", \"api_endpoint\", \"collection_name\", \"input_value\", \"embedding\"]\n\n def build_config(self):\n return {\n \"search_type\": {\n \"display_name\": \"Search Type\",\n \"options\": [\"Similarity\", \"MMR\"],\n },\n \"input_value\": {\n \"display_name\": \"Input Value\",\n \"info\": \"Input value to search\",\n },\n \"embedding\": {\"display_name\": \"Embedding\", \"info\": \"Embedding to use\"},\n \"collection_name\": {\n \"display_name\": \"Collection Name\",\n \"info\": \"The name of the collection within Astra DB where the vectors will be stored.\",\n },\n \"token\": {\n \"display_name\": \"Token\",\n \"info\": \"Authentication token for accessing Astra DB.\",\n \"password\": True,\n },\n \"api_endpoint\": {\n \"display_name\": \"API Endpoint\",\n \"info\": \"API endpoint URL for the Astra DB service.\",\n },\n \"namespace\": {\n \"display_name\": \"Namespace\",\n \"info\": \"Optional namespace within Astra DB to use for the collection.\",\n \"advanced\": True,\n },\n \"metric\": {\n \"display_name\": \"Metric\",\n \"info\": \"Optional distance metric for vector comparisons in the vector store.\",\n \"advanced\": True,\n },\n \"batch_size\": {\n \"display_name\": \"Batch Size\",\n \"info\": \"Optional number of records to process in a single batch.\",\n \"advanced\": True,\n },\n \"bulk_insert_batch_concurrency\": {\n \"display_name\": \"Bulk Insert Batch Concurrency\",\n \"info\": \"Optional concurrency level for bulk insert operations.\",\n \"advanced\": True,\n },\n \"bulk_insert_overwrite_concurrency\": {\n \"display_name\": \"Bulk Insert Overwrite Concurrency\",\n \"info\": \"Optional concurrency level for bulk insert operations that overwrite existing records.\",\n \"advanced\": True,\n },\n \"bulk_delete_concurrency\": {\n \"display_name\": \"Bulk Delete Concurrency\",\n \"info\": \"Optional concurrency level for bulk delete operations.\",\n \"advanced\": True,\n },\n \"setup_mode\": {\n \"display_name\": \"Setup Mode\",\n \"info\": \"Configuration mode for setting up the vector store, with options like “Sync”, “Async”, or “Off”.\",\n \"options\": [\"Sync\", \"Async\", \"Off\"],\n \"advanced\": True,\n },\n \"pre_delete_collection\": {\n \"display_name\": \"Pre Delete Collection\",\n \"info\": \"Boolean flag to determine whether to delete the collection before creating a new one.\",\n \"advanced\": True,\n },\n \"metadata_indexing_include\": {\n \"display_name\": \"Metadata Indexing Include\",\n \"info\": \"Optional list of metadata fields to include in the indexing.\",\n \"advanced\": True,\n },\n \"metadata_indexing_exclude\": {\n \"display_name\": \"Metadata Indexing Exclude\",\n \"info\": \"Optional list of metadata fields to exclude from the indexing.\",\n \"advanced\": True,\n },\n \"collection_indexing_policy\": {\n \"display_name\": \"Collection Indexing Policy\",\n \"info\": \"Optional dictionary defining the indexing policy for the collection.\",\n \"advanced\": True,\n },\n \"number_of_results\": {\n \"display_name\": \"Number of Results\",\n \"info\": \"Number of results to return.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n embedding: Embeddings,\n collection_name: str,\n input_value: Text,\n token: str,\n api_endpoint: str,\n search_type: str = \"Similarity\",\n number_of_results: int = 4,\n namespace: Optional[str] = None,\n metric: Optional[str] = None,\n batch_size: Optional[int] = None,\n bulk_insert_batch_concurrency: Optional[int] = None,\n bulk_insert_overwrite_concurrency: Optional[int] = None,\n bulk_delete_concurrency: Optional[int] = None,\n setup_mode: str = \"Sync\",\n pre_delete_collection: bool = False,\n metadata_indexing_include: Optional[List[str]] = None,\n metadata_indexing_exclude: Optional[List[str]] = None,\n collection_indexing_policy: Optional[dict] = None,\n ) -> List[Record]:\n vector_store = AstraDBVectorStoreComponent().build(\n embedding=embedding,\n collection_name=collection_name,\n token=token,\n api_endpoint=api_endpoint,\n namespace=namespace,\n metric=metric,\n batch_size=batch_size,\n bulk_insert_batch_concurrency=bulk_insert_batch_concurrency,\n bulk_insert_overwrite_concurrency=bulk_insert_overwrite_concurrency,\n bulk_delete_concurrency=bulk_delete_concurrency,\n setup_mode=setup_mode,\n pre_delete_collection=pre_delete_collection,\n metadata_indexing_include=metadata_indexing_include,\n metadata_indexing_exclude=metadata_indexing_exclude,\n collection_indexing_policy=collection_indexing_policy,\n )\n try:\n return self.search_with_vector_store(input_value, search_type, vector_store, k=number_of_results)\n except KeyError as e:\n if \"content\" in str(e):\n raise ValueError(\n \"You should ingest data through Langflow (or LangChain) to query it in Langflow. Your collection does not contain a field name 'content'.\"\n )\n else:\n raise e\n",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "code",
+ "advanced": true,
+ "dynamic": true,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "collection_indexing_policy": {
+ "type": "dict",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "collection_indexing_policy",
+ "display_name": "Collection Indexing Policy",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Optional dictionary defining the indexing policy for the collection.",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "collection_name": {
+ "type": "str",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "collection_name",
+ "display_name": "Collection Name",
+ "advanced": false,
+ "dynamic": false,
+ "info": "The name of the collection within Astra DB where the vectors will be stored.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"],
+ "value": "langflow"
+ },
+ "metadata_indexing_exclude": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": true,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "metadata_indexing_exclude",
+ "display_name": "Metadata Indexing Exclude",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Optional list of metadata fields to exclude from the indexing.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "metadata_indexing_include": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": true,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "metadata_indexing_include",
+ "display_name": "Metadata Indexing Include",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Optional list of metadata fields to include in the indexing.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "metric": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "metric",
+ "display_name": "Metric",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Optional distance metric for vector comparisons in the vector store.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "namespace": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "namespace",
+ "display_name": "Namespace",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Optional namespace within Astra DB to use for the collection.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "number_of_results": {
+ "type": "int",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": 4,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "number_of_results",
+ "display_name": "Number of Results",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Number of results to return.",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "pre_delete_collection": {
+ "type": "bool",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "pre_delete_collection",
+ "display_name": "Pre Delete Collection",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Boolean flag to determine whether to delete the collection before creating a new one.",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "search_type": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": true,
+ "show": true,
+ "multiline": false,
+ "value": "Similarity",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "options": ["Similarity", "MMR"],
+ "name": "search_type",
+ "display_name": "Search Type",
+ "advanced": false,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "setup_mode": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": true,
+ "show": true,
+ "multiline": false,
+ "value": "Sync",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "options": ["Sync", "Async", "Off"],
+ "name": "setup_mode",
+ "display_name": "Setup Mode",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Configuration mode for setting up the vector store, with options like “Sync”, “Async”, or “Off”.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "token": {
+ "type": "str",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": true,
+ "name": "token",
+ "display_name": "Token",
+ "advanced": false,
+ "dynamic": false,
+ "info": "Authentication token for accessing Astra DB.",
+ "load_from_db": true,
+ "title_case": false,
+ "input_types": ["Text"],
+ "value": "ASTRA_DB_APPLICATION_TOKEN"
+ },
+ "_type": "CustomComponent"
},
- {
- "source": "RecursiveCharacterTextSplitter-tR9QM",
- "sourceHandle": "{\u0153baseClasses\u0153:[\u0153Record\u0153],\u0153dataType\u0153:\u0153RecursiveCharacterTextSplitter\u0153,\u0153id\u0153:\u0153RecursiveCharacterTextSplitter-tR9QM\u0153}",
- "target": "AstraDB-eUCSS",
- "targetHandle": "{\u0153fieldName\u0153:\u0153inputs\u0153,\u0153id\u0153:\u0153AstraDB-eUCSS\u0153,\u0153inputTypes\u0153:null,\u0153type\u0153:\u0153Record\u0153}",
- "data": {
- "targetHandle": {
- "fieldName": "inputs",
- "id": "AstraDB-eUCSS",
- "inputTypes": null,
- "type": "Record"
- },
- "sourceHandle": {
- "baseClasses": [
- "Record"
- ],
- "dataType": "RecursiveCharacterTextSplitter",
- "id": "RecursiveCharacterTextSplitter-tR9QM"
- }
- },
- "style": {
- "stroke": "#555"
- },
- "className": "stroke-gray-900 stroke-connection",
- "id": "reactflow__edge-RecursiveCharacterTextSplitter-tR9QM{\u0153baseClasses\u0153:[\u0153Record\u0153],\u0153dataType\u0153:\u0153RecursiveCharacterTextSplitter\u0153,\u0153id\u0153:\u0153RecursiveCharacterTextSplitter-tR9QM\u0153}-AstraDB-eUCSS{\u0153fieldName\u0153:\u0153inputs\u0153,\u0153id\u0153:\u0153AstraDB-eUCSS\u0153,\u0153inputTypes\u0153:null,\u0153type\u0153:\u0153Record\u0153}",
- "selected": false
+ "description": "Searches an existing Astra DB Vector Store.",
+ "icon": "AstraDB",
+ "base_classes": ["Record"],
+ "display_name": "Astra DB Search",
+ "documentation": "",
+ "custom_fields": {
+ "embedding": null,
+ "collection_name": null,
+ "input_value": null,
+ "token": null,
+ "api_endpoint": null,
+ "search_type": null,
+ "number_of_results": null,
+ "namespace": null,
+ "metric": null,
+ "batch_size": null,
+ "bulk_insert_batch_concurrency": null,
+ "bulk_insert_overwrite_concurrency": null,
+ "bulk_delete_concurrency": null,
+ "setup_mode": null,
+ "pre_delete_collection": null,
+ "metadata_indexing_include": null,
+ "metadata_indexing_exclude": null,
+ "collection_indexing_policy": null
},
- {
- "source": "OpenAIEmbeddings-9TPjc",
- "sourceHandle": "{\u0153baseClasses\u0153:[\u0153Embeddings\u0153],\u0153dataType\u0153:\u0153OpenAIEmbeddings\u0153,\u0153id\u0153:\u0153OpenAIEmbeddings-9TPjc\u0153}",
- "target": "AstraDB-eUCSS",
- "targetHandle": "{\u0153fieldName\u0153:\u0153embedding\u0153,\u0153id\u0153:\u0153AstraDB-eUCSS\u0153,\u0153inputTypes\u0153:null,\u0153type\u0153:\u0153Embeddings\u0153}",
- "data": {
- "targetHandle": {
- "fieldName": "embedding",
- "id": "AstraDB-eUCSS",
- "inputTypes": null,
- "type": "Embeddings"
- },
- "sourceHandle": {
- "baseClasses": [
- "Embeddings"
- ],
- "dataType": "OpenAIEmbeddings",
- "id": "OpenAIEmbeddings-9TPjc"
- }
- },
- "style": {
- "stroke": "#555"
- },
- "className": "stroke-gray-900 stroke-connection",
- "id": "reactflow__edge-OpenAIEmbeddings-9TPjc{\u0153baseClasses\u0153:[\u0153Embeddings\u0153],\u0153dataType\u0153:\u0153OpenAIEmbeddings\u0153,\u0153id\u0153:\u0153OpenAIEmbeddings-9TPjc\u0153}-AstraDB-eUCSS{\u0153fieldName\u0153:\u0153embedding\u0153,\u0153id\u0153:\u0153AstraDB-eUCSS\u0153,\u0153inputTypes\u0153:null,\u0153type\u0153:\u0153Embeddings\u0153}",
- "selected": false
- },
- {
- "source": "AstraDBSearch-41nRz",
- "sourceHandle": "{\u0153baseClasses\u0153:[\u0153Record\u0153],\u0153dataType\u0153:\u0153AstraDBSearch\u0153,\u0153id\u0153:\u0153AstraDBSearch-41nRz\u0153}",
- "target": "TextOutput-BDknO",
- "targetHandle": "{\u0153fieldName\u0153:\u0153input_value\u0153,\u0153id\u0153:\u0153TextOutput-BDknO\u0153,\u0153inputTypes\u0153:[\u0153Record\u0153,\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}",
- "data": {
- "targetHandle": {
- "fieldName": "input_value",
- "id": "TextOutput-BDknO",
- "inputTypes": [
- "Record",
- "Text"
- ],
- "type": "str"
- },
- "sourceHandle": {
- "baseClasses": [
- "Record"
- ],
- "dataType": "AstraDBSearch",
- "id": "AstraDBSearch-41nRz"
- }
- },
- "style": {
- "stroke": "#555"
- },
- "className": "stroke-gray-900 stroke-connection",
- "id": "reactflow__edge-AstraDBSearch-41nRz{\u0153baseClasses\u0153:[\u0153Record\u0153],\u0153dataType\u0153:\u0153AstraDBSearch\u0153,\u0153id\u0153:\u0153AstraDBSearch-41nRz\u0153}-TextOutput-BDknO{\u0153fieldName\u0153:\u0153input_value\u0153,\u0153id\u0153:\u0153TextOutput-BDknO\u0153,\u0153inputTypes\u0153:[\u0153Record\u0153,\u0153Text\u0153],\u0153type\u0153:\u0153str\u0153}"
- }
- ],
- "viewport": {
- "x": -259.6782520315529,
- "y": 90.3428735006047,
- "zoom": 0.2687057134854984
+ "output_types": ["Record"],
+ "field_formatters": {},
+ "frozen": false,
+ "field_order": [
+ "token",
+ "api_endpoint",
+ "collection_name",
+ "input_value",
+ "embedding"
+ ],
+ "beta": false
+ },
+ "id": "AstraDBSearch-41nRz"
+ },
+ "selected": false,
+ "width": 384,
+ "height": 713,
+ "dragging": false,
+ "positionAbsolute": {
+ "x": 1723.976434815103,
+ "y": 277.03317407245913
}
- },
- "description": "Visit https://pre-release.langflow.org/tutorials/rag-with-astradb for a detailed guide of this project.\nThis project give you both Ingestion and RAG in a single file. You'll need to visit https://astra.datastax.com/ to create an Astra DB instance, your Token and grab an API Endpoint.\nRunning this project requires you to add a file in the Files component, then define a Collection Name and click on the Play icon on the Astra DB component. \n\nAfter the ingestion ends you are ready to click on the Run button at the lower left corner and start asking questions about your data.",
- "name": "Vector Store RAG",
- "last_tested_version": "1.0.0a0",
- "is_component": false
+ },
+ {
+ "id": "AstraDB-eUCSS",
+ "type": "genericNode",
+ "position": {
+ "x": 3372.04958055989,
+ "y": 1611.0742035495277
+ },
+ "data": {
+ "type": "AstraDB",
+ "node": {
+ "template": {
+ "embedding": {
+ "type": "Embeddings",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "embedding",
+ "display_name": "Embedding",
+ "advanced": false,
+ "dynamic": false,
+ "info": "Embedding to use",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "inputs": {
+ "type": "Record",
+ "required": false,
+ "placeholder": "",
+ "list": true,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "inputs",
+ "display_name": "Inputs",
+ "advanced": false,
+ "dynamic": false,
+ "info": "Optional list of records to be processed and stored in the vector store.",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "api_endpoint": {
+ "type": "str",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "api_endpoint",
+ "display_name": "API Endpoint",
+ "advanced": false,
+ "dynamic": false,
+ "info": "API endpoint URL for the Astra DB service.",
+ "load_from_db": true,
+ "title_case": false,
+ "input_types": ["Text"],
+ "value": "ASTRA_DB_API_ENDPOINT"
+ },
+ "batch_size": {
+ "type": "int",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "batch_size",
+ "display_name": "Batch Size",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Optional number of records to process in a single batch.",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "bulk_delete_concurrency": {
+ "type": "int",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "bulk_delete_concurrency",
+ "display_name": "Bulk Delete Concurrency",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Optional concurrency level for bulk delete operations.",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "bulk_insert_batch_concurrency": {
+ "type": "int",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "bulk_insert_batch_concurrency",
+ "display_name": "Bulk Insert Batch Concurrency",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Optional concurrency level for bulk insert operations.",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "bulk_insert_overwrite_concurrency": {
+ "type": "int",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "bulk_insert_overwrite_concurrency",
+ "display_name": "Bulk Insert Overwrite Concurrency",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Optional concurrency level for bulk insert operations that overwrite existing records.",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "code": {
+ "type": "code",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "from typing import List, Optional, Union\nfrom langchain_astradb import AstraDBVectorStore\nfrom langchain_astradb.utils.astradb import SetupMode\n\nfrom langflow.custom import CustomComponent\nfrom langflow.field_typing import Embeddings, VectorStore\nfrom langflow.schema import Record\nfrom langchain_core.retrievers import BaseRetriever\n\n\nclass AstraDBVectorStoreComponent(CustomComponent):\n display_name = \"Astra DB\"\n description = \"Builds or loads an Astra DB Vector Store.\"\n icon = \"AstraDB\"\n field_order = [\"token\", \"api_endpoint\", \"collection_name\", \"inputs\", \"embedding\"]\n\n def build_config(self):\n return {\n \"inputs\": {\n \"display_name\": \"Inputs\",\n \"info\": \"Optional list of records to be processed and stored in the vector store.\",\n },\n \"embedding\": {\"display_name\": \"Embedding\", \"info\": \"Embedding to use\"},\n \"collection_name\": {\n \"display_name\": \"Collection Name\",\n \"info\": \"The name of the collection within Astra DB where the vectors will be stored.\",\n },\n \"token\": {\n \"display_name\": \"Token\",\n \"info\": \"Authentication token for accessing Astra DB.\",\n \"password\": True,\n },\n \"api_endpoint\": {\n \"display_name\": \"API Endpoint\",\n \"info\": \"API endpoint URL for the Astra DB service.\",\n },\n \"namespace\": {\n \"display_name\": \"Namespace\",\n \"info\": \"Optional namespace within Astra DB to use for the collection.\",\n \"advanced\": True,\n },\n \"metric\": {\n \"display_name\": \"Metric\",\n \"info\": \"Optional distance metric for vector comparisons in the vector store.\",\n \"advanced\": True,\n },\n \"batch_size\": {\n \"display_name\": \"Batch Size\",\n \"info\": \"Optional number of records to process in a single batch.\",\n \"advanced\": True,\n },\n \"bulk_insert_batch_concurrency\": {\n \"display_name\": \"Bulk Insert Batch Concurrency\",\n \"info\": \"Optional concurrency level for bulk insert operations.\",\n \"advanced\": True,\n },\n \"bulk_insert_overwrite_concurrency\": {\n \"display_name\": \"Bulk Insert Overwrite Concurrency\",\n \"info\": \"Optional concurrency level for bulk insert operations that overwrite existing records.\",\n \"advanced\": True,\n },\n \"bulk_delete_concurrency\": {\n \"display_name\": \"Bulk Delete Concurrency\",\n \"info\": \"Optional concurrency level for bulk delete operations.\",\n \"advanced\": True,\n },\n \"setup_mode\": {\n \"display_name\": \"Setup Mode\",\n \"info\": \"Configuration mode for setting up the vector store, with options like “Sync”, “Async”, or “Off”.\",\n \"options\": [\"Sync\", \"Async\", \"Off\"],\n \"advanced\": True,\n },\n \"pre_delete_collection\": {\n \"display_name\": \"Pre Delete Collection\",\n \"info\": \"Boolean flag to determine whether to delete the collection before creating a new one.\",\n \"advanced\": True,\n },\n \"metadata_indexing_include\": {\n \"display_name\": \"Metadata Indexing Include\",\n \"info\": \"Optional list of metadata fields to include in the indexing.\",\n \"advanced\": True,\n },\n \"metadata_indexing_exclude\": {\n \"display_name\": \"Metadata Indexing Exclude\",\n \"info\": \"Optional list of metadata fields to exclude from the indexing.\",\n \"advanced\": True,\n },\n \"collection_indexing_policy\": {\n \"display_name\": \"Collection Indexing Policy\",\n \"info\": \"Optional dictionary defining the indexing policy for the collection.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n embedding: Embeddings,\n token: str,\n api_endpoint: str,\n collection_name: str,\n inputs: Optional[List[Record]] = None,\n namespace: Optional[str] = None,\n metric: Optional[str] = None,\n batch_size: Optional[int] = None,\n bulk_insert_batch_concurrency: Optional[int] = None,\n bulk_insert_overwrite_concurrency: Optional[int] = None,\n bulk_delete_concurrency: Optional[int] = None,\n setup_mode: str = \"Sync\",\n pre_delete_collection: bool = False,\n metadata_indexing_include: Optional[List[str]] = None,\n metadata_indexing_exclude: Optional[List[str]] = None,\n collection_indexing_policy: Optional[dict] = None,\n ) -> Union[VectorStore, BaseRetriever]:\n try:\n setup_mode_value = SetupMode[setup_mode.upper()]\n except KeyError:\n raise ValueError(f\"Invalid setup mode: {setup_mode}\")\n if inputs:\n documents = [_input.to_lc_document() for _input in inputs]\n\n vector_store = AstraDBVectorStore.from_documents(\n documents=documents,\n embedding=embedding,\n collection_name=collection_name,\n token=token,\n api_endpoint=api_endpoint,\n namespace=namespace,\n metric=metric,\n batch_size=batch_size,\n bulk_insert_batch_concurrency=bulk_insert_batch_concurrency,\n bulk_insert_overwrite_concurrency=bulk_insert_overwrite_concurrency,\n bulk_delete_concurrency=bulk_delete_concurrency,\n setup_mode=setup_mode_value,\n pre_delete_collection=pre_delete_collection,\n metadata_indexing_include=metadata_indexing_include,\n metadata_indexing_exclude=metadata_indexing_exclude,\n collection_indexing_policy=collection_indexing_policy,\n )\n else:\n vector_store = AstraDBVectorStore(\n embedding=embedding,\n collection_name=collection_name,\n token=token,\n api_endpoint=api_endpoint,\n namespace=namespace,\n metric=metric,\n batch_size=batch_size,\n bulk_insert_batch_concurrency=bulk_insert_batch_concurrency,\n bulk_insert_overwrite_concurrency=bulk_insert_overwrite_concurrency,\n bulk_delete_concurrency=bulk_delete_concurrency,\n setup_mode=setup_mode_value,\n pre_delete_collection=pre_delete_collection,\n metadata_indexing_include=metadata_indexing_include,\n metadata_indexing_exclude=metadata_indexing_exclude,\n collection_indexing_policy=collection_indexing_policy,\n )\n\n return vector_store\n",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "code",
+ "advanced": true,
+ "dynamic": true,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "collection_indexing_policy": {
+ "type": "dict",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "collection_indexing_policy",
+ "display_name": "Collection Indexing Policy",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Optional dictionary defining the indexing policy for the collection.",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "collection_name": {
+ "type": "str",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "collection_name",
+ "display_name": "Collection Name",
+ "advanced": false,
+ "dynamic": false,
+ "info": "The name of the collection within Astra DB where the vectors will be stored.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"],
+ "value": "langflow"
+ },
+ "metadata_indexing_exclude": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": true,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "metadata_indexing_exclude",
+ "display_name": "Metadata Indexing Exclude",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Optional list of metadata fields to exclude from the indexing.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "metadata_indexing_include": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": true,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "metadata_indexing_include",
+ "display_name": "Metadata Indexing Include",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Optional list of metadata fields to include in the indexing.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "metric": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "metric",
+ "display_name": "Metric",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Optional distance metric for vector comparisons in the vector store.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "namespace": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "namespace",
+ "display_name": "Namespace",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Optional namespace within Astra DB to use for the collection.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "pre_delete_collection": {
+ "type": "bool",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "pre_delete_collection",
+ "display_name": "Pre Delete Collection",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Boolean flag to determine whether to delete the collection before creating a new one.",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "setup_mode": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": true,
+ "show": true,
+ "multiline": false,
+ "value": "Sync",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "options": ["Sync", "Async", "Off"],
+ "name": "setup_mode",
+ "display_name": "Setup Mode",
+ "advanced": true,
+ "dynamic": false,
+ "info": "Configuration mode for setting up the vector store, with options like “Sync”, “Async”, or “Off”.",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "token": {
+ "type": "str",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": true,
+ "name": "token",
+ "display_name": "Token",
+ "advanced": false,
+ "dynamic": false,
+ "info": "Authentication token for accessing Astra DB.",
+ "load_from_db": true,
+ "title_case": false,
+ "input_types": ["Text"],
+ "value": "ASTRA_DB_APPLICATION_TOKEN"
+ },
+ "_type": "CustomComponent"
+ },
+ "description": "Builds or loads an Astra DB Vector Store.",
+ "icon": "AstraDB",
+ "base_classes": ["VectorStore"],
+ "display_name": "Astra DB",
+ "documentation": "",
+ "custom_fields": {
+ "embedding": null,
+ "token": null,
+ "api_endpoint": null,
+ "collection_name": null,
+ "inputs": null,
+ "namespace": null,
+ "metric": null,
+ "batch_size": null,
+ "bulk_insert_batch_concurrency": null,
+ "bulk_insert_overwrite_concurrency": null,
+ "bulk_delete_concurrency": null,
+ "setup_mode": null,
+ "pre_delete_collection": null,
+ "metadata_indexing_include": null,
+ "metadata_indexing_exclude": null,
+ "collection_indexing_policy": null
+ },
+ "output_types": ["VectorStore"],
+ "field_formatters": {},
+ "frozen": false,
+ "field_order": [
+ "token",
+ "api_endpoint",
+ "collection_name",
+ "inputs",
+ "embedding"
+ ],
+ "beta": false
+ },
+ "id": "AstraDB-eUCSS"
+ },
+ "selected": false,
+ "width": 384,
+ "height": 573,
+ "positionAbsolute": {
+ "x": 3372.04958055989,
+ "y": 1611.0742035495277
+ },
+ "dragging": false
+ },
+ {
+ "id": "OpenAIEmbeddings-9TPjc",
+ "type": "genericNode",
+ "position": {
+ "x": 2814.0402191223047,
+ "y": 1955.9268168273086
+ },
+ "data": {
+ "type": "OpenAIEmbeddings",
+ "node": {
+ "template": {
+ "allowed_special": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": [],
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "allowed_special",
+ "display_name": "Allowed Special",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "chunk_size": {
+ "type": "int",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": 1000,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "chunk_size",
+ "display_name": "Chunk Size",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "client": {
+ "type": "Any",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "client",
+ "display_name": "Client",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "code": {
+ "type": "code",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "from typing import Dict, List, Optional\n\nfrom langchain_openai.embeddings.base import OpenAIEmbeddings\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.custom import CustomComponent\nfrom langflow.field_typing import Embeddings, NestedDict\n\n\nclass OpenAIEmbeddingsComponent(CustomComponent):\n display_name = \"OpenAI Embeddings\"\n description = \"Generate embeddings using OpenAI models.\"\n\n def build_config(self):\n return {\n \"allowed_special\": {\n \"display_name\": \"Allowed Special\",\n \"advanced\": True,\n \"field_type\": \"str\",\n \"is_list\": True,\n },\n \"default_headers\": {\n \"display_name\": \"Default Headers\",\n \"advanced\": True,\n \"field_type\": \"dict\",\n },\n \"default_query\": {\n \"display_name\": \"Default Query\",\n \"advanced\": True,\n \"field_type\": \"NestedDict\",\n },\n \"disallowed_special\": {\n \"display_name\": \"Disallowed Special\",\n \"advanced\": True,\n \"field_type\": \"str\",\n \"is_list\": True,\n },\n \"chunk_size\": {\"display_name\": \"Chunk Size\", \"advanced\": True},\n \"client\": {\"display_name\": \"Client\", \"advanced\": True},\n \"deployment\": {\"display_name\": \"Deployment\", \"advanced\": True},\n \"embedding_ctx_length\": {\n \"display_name\": \"Embedding Context Length\",\n \"advanced\": True,\n },\n \"max_retries\": {\"display_name\": \"Max Retries\", \"advanced\": True},\n \"model\": {\n \"display_name\": \"Model\",\n \"advanced\": False,\n \"options\": [\n \"text-embedding-3-small\",\n \"text-embedding-3-large\",\n \"text-embedding-ada-002\",\n ],\n },\n \"model_kwargs\": {\"display_name\": \"Model Kwargs\", \"advanced\": True},\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"password\": True,\n \"advanced\": True,\n },\n \"openai_api_key\": {\"display_name\": \"OpenAI API Key\", \"password\": True},\n \"openai_api_type\": {\n \"display_name\": \"OpenAI API Type\",\n \"advanced\": True,\n \"password\": True,\n },\n \"openai_api_version\": {\n \"display_name\": \"OpenAI API Version\",\n \"advanced\": True,\n },\n \"openai_organization\": {\n \"display_name\": \"OpenAI Organization\",\n \"advanced\": True,\n },\n \"openai_proxy\": {\"display_name\": \"OpenAI Proxy\", \"advanced\": True},\n \"request_timeout\": {\"display_name\": \"Request Timeout\", \"advanced\": True},\n \"show_progress_bar\": {\n \"display_name\": \"Show Progress Bar\",\n \"advanced\": True,\n },\n \"skip_empty\": {\"display_name\": \"Skip Empty\", \"advanced\": True},\n \"tiktoken_model_name\": {\n \"display_name\": \"TikToken Model Name\",\n \"advanced\": True,\n },\n \"tiktoken_enable\": {\"display_name\": \"TikToken Enable\", \"advanced\": True},\n }\n\n def build(\n self,\n openai_api_key: str,\n default_headers: Optional[Dict[str, str]] = None,\n default_query: Optional[NestedDict] = {},\n allowed_special: List[str] = [],\n disallowed_special: List[str] = [\"all\"],\n chunk_size: int = 1000,\n deployment: str = \"text-embedding-ada-002\",\n embedding_ctx_length: int = 8191,\n max_retries: int = 6,\n model: str = \"text-embedding-ada-002\",\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n openai_api_type: Optional[str] = None,\n openai_api_version: Optional[str] = None,\n openai_organization: Optional[str] = None,\n openai_proxy: Optional[str] = None,\n request_timeout: Optional[float] = None,\n show_progress_bar: bool = False,\n skip_empty: bool = False,\n tiktoken_enable: bool = True,\n tiktoken_model_name: Optional[str] = None,\n ) -> Embeddings:\n # This is to avoid errors with Vector Stores (e.g Chroma)\n if disallowed_special == [\"all\"]:\n disallowed_special = \"all\" # type: ignore\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n return OpenAIEmbeddings(\n tiktoken_enabled=tiktoken_enable,\n default_headers=default_headers,\n default_query=default_query,\n allowed_special=set(allowed_special),\n disallowed_special=\"all\",\n chunk_size=chunk_size,\n deployment=deployment,\n embedding_ctx_length=embedding_ctx_length,\n max_retries=max_retries,\n model=model,\n model_kwargs=model_kwargs,\n base_url=openai_api_base,\n api_key=api_key,\n openai_api_type=openai_api_type,\n api_version=openai_api_version,\n organization=openai_organization,\n openai_proxy=openai_proxy,\n timeout=request_timeout,\n show_progress_bar=show_progress_bar,\n skip_empty=skip_empty,\n tiktoken_model_name=tiktoken_model_name,\n )\n",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "code",
+ "advanced": true,
+ "dynamic": true,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "default_headers": {
+ "type": "dict",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "default_headers",
+ "display_name": "Default Headers",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "default_query": {
+ "type": "NestedDict",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": {},
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "default_query",
+ "display_name": "Default Query",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "deployment": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": "text-embedding-ada-002",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "deployment",
+ "display_name": "Deployment",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "disallowed_special": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": ["all"],
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "disallowed_special",
+ "display_name": "Disallowed Special",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "embedding_ctx_length": {
+ "type": "int",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": 8191,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "embedding_ctx_length",
+ "display_name": "Embedding Context Length",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "max_retries": {
+ "type": "int",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": 6,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "max_retries",
+ "display_name": "Max Retries",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "model": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": true,
+ "show": true,
+ "multiline": false,
+ "value": "text-embedding-ada-002",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "options": [
+ "text-embedding-3-small",
+ "text-embedding-3-large",
+ "text-embedding-ada-002"
+ ],
+ "name": "model",
+ "display_name": "Model",
+ "advanced": false,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "model_kwargs": {
+ "type": "NestedDict",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": {},
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "model_kwargs",
+ "display_name": "Model Kwargs",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "openai_api_base": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": true,
+ "name": "openai_api_base",
+ "display_name": "OpenAI API Base",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "openai_api_key": {
+ "type": "str",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": true,
+ "name": "openai_api_key",
+ "display_name": "OpenAI API Key",
+ "advanced": false,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": true,
+ "title_case": false,
+ "input_types": ["Text"],
+ "value": "OPENAI_API_KEY"
+ },
+ "openai_api_type": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": true,
+ "name": "openai_api_type",
+ "display_name": "OpenAI API Type",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "openai_api_version": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "openai_api_version",
+ "display_name": "OpenAI API Version",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "openai_organization": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "openai_organization",
+ "display_name": "OpenAI Organization",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "openai_proxy": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "openai_proxy",
+ "display_name": "OpenAI Proxy",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "request_timeout": {
+ "type": "float",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "request_timeout",
+ "display_name": "Request Timeout",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "rangeSpec": {
+ "step_type": "float",
+ "min": -1,
+ "max": 1,
+ "step": 0.1
+ },
+ "load_from_db": false,
+ "title_case": false
+ },
+ "show_progress_bar": {
+ "type": "bool",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "show_progress_bar",
+ "display_name": "Show Progress Bar",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "skip_empty": {
+ "type": "bool",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "skip_empty",
+ "display_name": "Skip Empty",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "tiktoken_enable": {
+ "type": "bool",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": true,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "tiktoken_enable",
+ "display_name": "TikToken Enable",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false
+ },
+ "tiktoken_model_name": {
+ "type": "str",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "tiktoken_model_name",
+ "display_name": "TikToken Model Name",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "load_from_db": false,
+ "title_case": false,
+ "input_types": ["Text"]
+ },
+ "_type": "CustomComponent"
+ },
+ "description": "Generate embeddings using OpenAI models.",
+ "base_classes": ["Embeddings"],
+ "display_name": "OpenAI Embeddings",
+ "documentation": "",
+ "custom_fields": {
+ "openai_api_key": null,
+ "default_headers": null,
+ "default_query": null,
+ "allowed_special": null,
+ "disallowed_special": null,
+ "chunk_size": null,
+ "client": null,
+ "deployment": null,
+ "embedding_ctx_length": null,
+ "max_retries": null,
+ "model": null,
+ "model_kwargs": null,
+ "openai_api_base": null,
+ "openai_api_type": null,
+ "openai_api_version": null,
+ "openai_organization": null,
+ "openai_proxy": null,
+ "request_timeout": null,
+ "show_progress_bar": null,
+ "skip_empty": null,
+ "tiktoken_enable": null,
+ "tiktoken_model_name": null
+ },
+ "output_types": ["Embeddings"],
+ "field_formatters": {},
+ "frozen": false,
+ "field_order": [],
+ "beta": false
+ },
+ "id": "OpenAIEmbeddings-9TPjc"
+ },
+ "selected": false,
+ "width": 384,
+ "height": 383,
+ "positionAbsolute": {
+ "x": 2814.0402191223047,
+ "y": 1955.9268168273086
+ },
+ "dragging": false
+ }
+ ],
+ "edges": [
+ {
+ "source": "TextOutput-BDknO",
+ "target": "Prompt-xeI6K",
+ "sourceHandle": "{œbaseClassesœ:[œobjectœ,œTextœ,œstrœ],œdataTypeœ:œTextOutputœ,œidœ:œTextOutput-BDknOœ}",
+ "targetHandle": "{œfieldNameœ:œcontextœ,œidœ:œPrompt-xeI6Kœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}",
+ "id": "reactflow__edge-TextOutput-BDknO{œbaseClassesœ:[œobjectœ,œTextœ,œstrœ],œdataTypeœ:œTextOutputœ,œidœ:œTextOutput-BDknOœ}-Prompt-xeI6K{œfieldNameœ:œcontextœ,œidœ:œPrompt-xeI6Kœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}",
+ "data": {
+ "targetHandle": {
+ "fieldName": "context",
+ "id": "Prompt-xeI6K",
+ "inputTypes": ["Document", "BaseOutputParser", "Record", "Text"],
+ "type": "str"
+ },
+ "sourceHandle": {
+ "baseClasses": ["object", "Text", "str"],
+ "dataType": "TextOutput",
+ "id": "TextOutput-BDknO"
+ }
+ },
+ "style": {
+ "stroke": "#555"
+ },
+ "className": "stroke-gray-900 stroke-connection",
+ "selected": false
+ },
+ {
+ "source": "ChatInput-yxMKE",
+ "target": "Prompt-xeI6K",
+ "sourceHandle": "{œbaseClassesœ:[œTextœ,œstrœ,œobjectœ,œRecordœ],œdataTypeœ:œChatInputœ,œidœ:œChatInput-yxMKEœ}",
+ "targetHandle": "{œfieldNameœ:œquestionœ,œidœ:œPrompt-xeI6Kœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}",
+ "id": "reactflow__edge-ChatInput-yxMKE{œbaseClassesœ:[œTextœ,œstrœ,œobjectœ,œRecordœ],œdataTypeœ:œChatInputœ,œidœ:œChatInput-yxMKEœ}-Prompt-xeI6K{œfieldNameœ:œquestionœ,œidœ:œPrompt-xeI6Kœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}",
+ "data": {
+ "targetHandle": {
+ "fieldName": "question",
+ "id": "Prompt-xeI6K",
+ "inputTypes": ["Document", "BaseOutputParser", "Record", "Text"],
+ "type": "str"
+ },
+ "sourceHandle": {
+ "baseClasses": ["Text", "str", "object", "Record"],
+ "dataType": "ChatInput",
+ "id": "ChatInput-yxMKE"
+ }
+ },
+ "style": {
+ "stroke": "#555"
+ },
+ "className": "stroke-gray-900 stroke-connection",
+ "selected": false
+ },
+ {
+ "source": "Prompt-xeI6K",
+ "target": "OpenAIModel-EjXlN",
+ "sourceHandle": "{œbaseClassesœ:[œobjectœ,œTextœ,œstrœ],œdataTypeœ:œPromptœ,œidœ:œPrompt-xeI6Kœ}",
+ "targetHandle": "{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-EjXlNœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}",
+ "id": "reactflow__edge-Prompt-xeI6K{œbaseClassesœ:[œobjectœ,œTextœ,œstrœ],œdataTypeœ:œPromptœ,œidœ:œPrompt-xeI6Kœ}-OpenAIModel-EjXlN{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-EjXlNœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}",
+ "data": {
+ "targetHandle": {
+ "fieldName": "input_value",
+ "id": "OpenAIModel-EjXlN",
+ "inputTypes": ["Text"],
+ "type": "str"
+ },
+ "sourceHandle": {
+ "baseClasses": ["object", "Text", "str"],
+ "dataType": "Prompt",
+ "id": "Prompt-xeI6K"
+ }
+ },
+ "style": {
+ "stroke": "#555"
+ },
+ "className": "stroke-gray-900 stroke-connection",
+ "selected": false
+ },
+ {
+ "source": "OpenAIModel-EjXlN",
+ "target": "ChatOutput-Q39I8",
+ "sourceHandle": "{œbaseClassesœ:[œobjectœ,œTextœ,œstrœ],œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-EjXlNœ}",
+ "targetHandle": "{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-Q39I8œ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}",
+ "id": "reactflow__edge-OpenAIModel-EjXlN{œbaseClassesœ:[œobjectœ,œTextœ,œstrœ],œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-EjXlNœ}-ChatOutput-Q39I8{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-Q39I8œ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}",
+ "data": {
+ "targetHandle": {
+ "fieldName": "input_value",
+ "id": "ChatOutput-Q39I8",
+ "inputTypes": ["Text"],
+ "type": "str"
+ },
+ "sourceHandle": {
+ "baseClasses": ["object", "Text", "str"],
+ "dataType": "OpenAIModel",
+ "id": "OpenAIModel-EjXlN"
+ }
+ },
+ "style": {
+ "stroke": "#555"
+ },
+ "className": "stroke-gray-900 stroke-connection",
+ "selected": false
+ },
+ {
+ "source": "File-t0a6a",
+ "target": "RecursiveCharacterTextSplitter-tR9QM",
+ "sourceHandle": "{œbaseClassesœ:[œRecordœ],œdataTypeœ:œFileœ,œidœ:œFile-t0a6aœ}",
+ "targetHandle": "{œfieldNameœ:œinputsœ,œidœ:œRecursiveCharacterTextSplitter-tR9QMœ,œinputTypesœ:[œDocumentœ,œRecordœ],œtypeœ:œDocumentœ}",
+ "id": "reactflow__edge-File-t0a6a{œbaseClassesœ:[œRecordœ],œdataTypeœ:œFileœ,œidœ:œFile-t0a6aœ}-RecursiveCharacterTextSplitter-tR9QM{œfieldNameœ:œinputsœ,œidœ:œRecursiveCharacterTextSplitter-tR9QMœ,œinputTypesœ:[œDocumentœ,œRecordœ],œtypeœ:œDocumentœ}",
+ "data": {
+ "targetHandle": {
+ "fieldName": "inputs",
+ "id": "RecursiveCharacterTextSplitter-tR9QM",
+ "inputTypes": ["Document", "Record"],
+ "type": "Document"
+ },
+ "sourceHandle": {
+ "baseClasses": ["Record"],
+ "dataType": "File",
+ "id": "File-t0a6a"
+ }
+ },
+ "style": {
+ "stroke": "#555"
+ },
+ "className": "stroke-gray-900 stroke-connection",
+ "selected": false
+ },
+ {
+ "source": "OpenAIEmbeddings-ZlOk1",
+ "sourceHandle": "{œbaseClassesœ:[œEmbeddingsœ],œdataTypeœ:œOpenAIEmbeddingsœ,œidœ:œOpenAIEmbeddings-ZlOk1œ}",
+ "target": "AstraDBSearch-41nRz",
+ "targetHandle": "{œfieldNameœ:œembeddingœ,œidœ:œAstraDBSearch-41nRzœ,œinputTypesœ:null,œtypeœ:œEmbeddingsœ}",
+ "data": {
+ "targetHandle": {
+ "fieldName": "embedding",
+ "id": "AstraDBSearch-41nRz",
+ "inputTypes": null,
+ "type": "Embeddings"
+ },
+ "sourceHandle": {
+ "baseClasses": ["Embeddings"],
+ "dataType": "OpenAIEmbeddings",
+ "id": "OpenAIEmbeddings-ZlOk1"
+ }
+ },
+ "style": {
+ "stroke": "#555"
+ },
+ "className": "stroke-gray-900 stroke-connection",
+ "id": "reactflow__edge-OpenAIEmbeddings-ZlOk1{œbaseClassesœ:[œEmbeddingsœ],œdataTypeœ:œOpenAIEmbeddingsœ,œidœ:œOpenAIEmbeddings-ZlOk1œ}-AstraDBSearch-41nRz{œfieldNameœ:œembeddingœ,œidœ:œAstraDBSearch-41nRzœ,œinputTypesœ:null,œtypeœ:œEmbeddingsœ}"
+ },
+ {
+ "source": "ChatInput-yxMKE",
+ "sourceHandle": "{œbaseClassesœ:[œTextœ,œstrœ,œobjectœ,œRecordœ],œdataTypeœ:œChatInputœ,œidœ:œChatInput-yxMKEœ}",
+ "target": "AstraDBSearch-41nRz",
+ "targetHandle": "{œfieldNameœ:œinput_valueœ,œidœ:œAstraDBSearch-41nRzœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}",
+ "data": {
+ "targetHandle": {
+ "fieldName": "input_value",
+ "id": "AstraDBSearch-41nRz",
+ "inputTypes": ["Text"],
+ "type": "str"
+ },
+ "sourceHandle": {
+ "baseClasses": ["Text", "str", "object", "Record"],
+ "dataType": "ChatInput",
+ "id": "ChatInput-yxMKE"
+ }
+ },
+ "style": {
+ "stroke": "#555"
+ },
+ "className": "stroke-gray-900 stroke-connection",
+ "id": "reactflow__edge-ChatInput-yxMKE{œbaseClassesœ:[œTextœ,œstrœ,œobjectœ,œRecordœ],œdataTypeœ:œChatInputœ,œidœ:œChatInput-yxMKEœ}-AstraDBSearch-41nRz{œfieldNameœ:œinput_valueœ,œidœ:œAstraDBSearch-41nRzœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}"
+ },
+ {
+ "source": "RecursiveCharacterTextSplitter-tR9QM",
+ "sourceHandle": "{œbaseClassesœ:[œRecordœ],œdataTypeœ:œRecursiveCharacterTextSplitterœ,œidœ:œRecursiveCharacterTextSplitter-tR9QMœ}",
+ "target": "AstraDB-eUCSS",
+ "targetHandle": "{œfieldNameœ:œinputsœ,œidœ:œAstraDB-eUCSSœ,œinputTypesœ:null,œtypeœ:œRecordœ}",
+ "data": {
+ "targetHandle": {
+ "fieldName": "inputs",
+ "id": "AstraDB-eUCSS",
+ "inputTypes": null,
+ "type": "Record"
+ },
+ "sourceHandle": {
+ "baseClasses": ["Record"],
+ "dataType": "RecursiveCharacterTextSplitter",
+ "id": "RecursiveCharacterTextSplitter-tR9QM"
+ }
+ },
+ "style": {
+ "stroke": "#555"
+ },
+ "className": "stroke-gray-900 stroke-connection",
+ "id": "reactflow__edge-RecursiveCharacterTextSplitter-tR9QM{œbaseClassesœ:[œRecordœ],œdataTypeœ:œRecursiveCharacterTextSplitterœ,œidœ:œRecursiveCharacterTextSplitter-tR9QMœ}-AstraDB-eUCSS{œfieldNameœ:œinputsœ,œidœ:œAstraDB-eUCSSœ,œinputTypesœ:null,œtypeœ:œRecordœ}",
+ "selected": false
+ },
+ {
+ "source": "OpenAIEmbeddings-9TPjc",
+ "sourceHandle": "{œbaseClassesœ:[œEmbeddingsœ],œdataTypeœ:œOpenAIEmbeddingsœ,œidœ:œOpenAIEmbeddings-9TPjcœ}",
+ "target": "AstraDB-eUCSS",
+ "targetHandle": "{œfieldNameœ:œembeddingœ,œidœ:œAstraDB-eUCSSœ,œinputTypesœ:null,œtypeœ:œEmbeddingsœ}",
+ "data": {
+ "targetHandle": {
+ "fieldName": "embedding",
+ "id": "AstraDB-eUCSS",
+ "inputTypes": null,
+ "type": "Embeddings"
+ },
+ "sourceHandle": {
+ "baseClasses": ["Embeddings"],
+ "dataType": "OpenAIEmbeddings",
+ "id": "OpenAIEmbeddings-9TPjc"
+ }
+ },
+ "style": {
+ "stroke": "#555"
+ },
+ "className": "stroke-gray-900 stroke-connection",
+ "id": "reactflow__edge-OpenAIEmbeddings-9TPjc{œbaseClassesœ:[œEmbeddingsœ],œdataTypeœ:œOpenAIEmbeddingsœ,œidœ:œOpenAIEmbeddings-9TPjcœ}-AstraDB-eUCSS{œfieldNameœ:œembeddingœ,œidœ:œAstraDB-eUCSSœ,œinputTypesœ:null,œtypeœ:œEmbeddingsœ}",
+ "selected": false
+ },
+ {
+ "source": "AstraDBSearch-41nRz",
+ "sourceHandle": "{œbaseClassesœ:[œRecordœ],œdataTypeœ:œAstraDBSearchœ,œidœ:œAstraDBSearch-41nRzœ}",
+ "target": "TextOutput-BDknO",
+ "targetHandle": "{œfieldNameœ:œinput_valueœ,œidœ:œTextOutput-BDknOœ,œinputTypesœ:[œRecordœ,œTextœ],œtypeœ:œstrœ}",
+ "data": {
+ "targetHandle": {
+ "fieldName": "input_value",
+ "id": "TextOutput-BDknO",
+ "inputTypes": ["Record", "Text"],
+ "type": "str"
+ },
+ "sourceHandle": {
+ "baseClasses": ["Record"],
+ "dataType": "AstraDBSearch",
+ "id": "AstraDBSearch-41nRz"
+ }
+ },
+ "style": {
+ "stroke": "#555"
+ },
+ "className": "stroke-gray-900 stroke-connection",
+ "id": "reactflow__edge-AstraDBSearch-41nRz{œbaseClassesœ:[œRecordœ],œdataTypeœ:œAstraDBSearchœ,œidœ:œAstraDBSearch-41nRzœ}-TextOutput-BDknO{œfieldNameœ:œinput_valueœ,œidœ:œTextOutput-BDknOœ,œinputTypesœ:[œRecordœ,œTextœ],œtypeœ:œstrœ}"
+ }
+ ],
+ "viewport": {
+ "x": -259.6782520315529,
+ "y": 90.3428735006047,
+ "zoom": 0.2687057134854984
+ }
+ },
+ "description": "Visit https://pre-release.langflow.org/tutorials/rag-with-astradb for a detailed guide of this project.\nThis project give you both Ingestion and RAG in a single file. You'll need to visit https://astra.datastax.com/ to create an Astra DB instance, your Token and grab an API Endpoint.\nRunning this project requires you to add a file in the Files component, then define a Collection Name and click on the Play icon on the Astra DB component. \n\nAfter the ingestion ends you are ready to click on the Run button at the lower left corner and start asking questions about your data.",
+ "name": "Vector Store RAG",
+ "last_tested_version": "1.0.0a0",
+ "is_component": false
}
diff --git a/src/backend/base/langflow/load/__init__.py b/src/backend/base/langflow/load/__init__.py
index 2002e8bb1..59dbdf6e0 100644
--- a/src/backend/base/langflow/load/__init__.py
+++ b/src/backend/base/langflow/load/__init__.py
@@ -1,3 +1,4 @@
-from .load import load_flow_from_json, run_flow_from_json # noqa: F401
+from .load import load_flow_from_json, run_flow_from_json
+from .utils import upload_file, get_flow
-__all__ = ["load_flow_from_json", "run_flow_from_json"]
+__all__ = ["load_flow_from_json", "run_flow_from_json", "upload_file", "get_flow"]
diff --git a/src/backend/base/langflow/load/utils.py b/src/backend/base/langflow/load/utils.py
new file mode 100644
index 000000000..9c2918e91
--- /dev/null
+++ b/src/backend/base/langflow/load/utils.py
@@ -0,0 +1,89 @@
+import httpx
+
+from langflow.services.database.models.flow.model import FlowBase
+
+
+def upload(file_path, host, flow_id):
+ """
+ Upload a file to Langflow and return the file path.
+
+ Args:
+ file_path (str): The path to the file to be uploaded.
+ host (str): The host URL of Langflow.
+ flow_id (UUID): The ID of the flow to which the file belongs.
+
+ Returns:
+ dict: A dictionary containing the file path.
+
+ Raises:
+ Exception: If an error occurs during the upload process.
+ """
+ try:
+ url = f"{host}/api/v1/upload/{flow_id}"
+ response = httpx.post(url, files={"file": open(file_path, "rb")})
+ if response.status_code == 200:
+ return response.json()
+ else:
+ raise Exception(f"Error uploading file: {response.status_code}")
+ except Exception as e:
+ raise Exception(f"Error uploading file: {e}")
+
+
+def upload_file(file_path, host, flow_id, components, tweaks={}):
+ """
+ Upload a file to Langflow and return the file path.
+
+ Args:
+ file_path (str): The path to the file to be uploaded.
+ host (str): The host URL of Langflow.
+ port (int): The port number of Langflow.
+ flow_id (UUID): The ID of the flow to which the file belongs.
+ components (str): List of component IDs or names that need the file.
+ tweaks (dict): A dictionary of tweaks to be applied to the file.
+
+ Returns:
+ dict: A dictionary containing the file path and any tweaks that were applied.
+
+ Raises:
+ Exception: If an error occurs during the upload process.
+ """
+ try:
+ response = upload(file_path, host, flow_id)
+ if response["file_path"]:
+ for component in components:
+ if isinstance(component, str):
+ tweaks[component] = {"file_path": response["file_path"]}
+ else:
+ raise ValueError(f"Component ID or name must be a string. Got {type(component)}")
+ return tweaks
+ else:
+ raise ValueError("Error uploading file")
+ except Exception as e:
+ raise ValueError(f"Error uploading file: {e}")
+
+
+def get_flow(url: str, flow_id: str):
+ """Get the details of a flow from Langflow.
+
+ Args:
+ url (str): The host URL of Langflow.
+ port (int): The port number of Langflow.
+ flow_id (UUID): The ID of the flow to retrieve.
+
+ Returns:
+ dict: A dictionary containing the details of the flow.
+
+ Raises:
+ Exception: If an error occurs during the retrieval process.
+ """
+ try:
+ flow_url = f"{url}/api/v1/flows/{flow_id}"
+ response = httpx.get(flow_url)
+ if response.status_code == 200:
+ json_response = response.json()
+ flow = FlowBase(**json_response).model_dump()
+ return flow
+ else:
+ raise Exception(f"Error retrieving flow: {response.status_code}")
+ except Exception as e:
+ raise Exception(f"Error retrieving flow: {e}")
diff --git a/src/backend/base/langflow/main.py b/src/backend/base/langflow/main.py
index 697cfa226..c81c014e2 100644
--- a/src/backend/base/langflow/main.py
+++ b/src/backend/base/langflow/main.py
@@ -14,7 +14,11 @@ from rich import print as rprint
from starlette.middleware.base import BaseHTTPMiddleware
from langflow.api import router
-from langflow.initial_setup.setup import create_or_update_starter_projects
+from langflow.initial_setup.setup import (
+ create_or_update_starter_projects,
+ initialize_super_user_if_needed,
+ load_flows_from_directory,
+)
from langflow.interface.utils import setup_llm_caching
from langflow.services.plugins.langfuse_plugin import LangfuseInstance
from langflow.services.utils import initialize_services, teardown_services
@@ -33,22 +37,22 @@ class JavaScriptMIMETypeMiddleware(BaseHTTPMiddleware):
return response
-def get_lifespan(fix_migration=False, socketio_server=None):
- from langflow.version import __version__ # type: ignore
-
+def get_lifespan(fix_migration=False, socketio_server=None, version=None):
@asynccontextmanager
async def lifespan(app: FastAPI):
nest_asyncio.apply()
# Startup message
- if __version__:
- rprint(f"[bold green]Starting Langflow v{__version__}...[/bold green]")
+ if version:
+ rprint(f"[bold green]Starting Langflow v{version}...[/bold green]")
else:
rprint("[bold green]Starting Langflow...[/bold green]")
try:
initialize_services(fix_migration=fix_migration, socketio_server=socketio_server)
setup_llm_caching()
LangfuseInstance.update()
+ initialize_super_user_if_needed()
create_or_update_starter_projects()
+ load_flows_from_directory()
yield
except Exception as exc:
if "langflow migration --fix" not in str(exc):
@@ -63,11 +67,17 @@ def get_lifespan(fix_migration=False, socketio_server=None):
def create_app():
"""Create the FastAPI app and include the router."""
+ try:
+ from langflow.version import __version__ # type: ignore
+ except ImportError:
+ from importlib.metadata import version
+
+ __version__ = version("langflow-base")
configure()
socketio_server = socketio.AsyncServer(async_mode="asgi", cors_allowed_origins="*", logger=True)
- lifespan = get_lifespan(socketio_server=socketio_server)
- app = FastAPI(lifespan=lifespan)
+ lifespan = get_lifespan(socketio_server=socketio_server, version=__version__)
+ app = FastAPI(lifespan=lifespan, title="Langflow", version=__version__)
origins = ["*"]
app.add_middleware(
diff --git a/src/backend/base/langflow/processing/process.py b/src/backend/base/langflow/processing/process.py
index d53b5e25f..aeff0f1a4 100644
--- a/src/backend/base/langflow/processing/process.py
+++ b/src/backend/base/langflow/processing/process.py
@@ -8,6 +8,7 @@ from langflow.graph.schema import RunOutputs
from langflow.graph.vertex.base import Vertex
from langflow.schema.graph import InputValue, Tweaks
from langflow.schema.schema import INPUT_FIELD_NAME
+from langflow.services.deps import get_settings_service
from langflow.services.session.service import SessionService
if TYPE_CHECKING:
@@ -49,6 +50,8 @@ async def run_graph_internal(
inputs_list.append({INPUT_FIELD_NAME: input_value_request.input_value})
types.append(input_value_request.type)
+ fallback_to_env_vars = get_settings_service().settings.fallback_to_env_var
+
run_outputs = await graph.arun(
inputs_list,
components,
@@ -56,6 +59,7 @@ async def run_graph_internal(
outputs or [],
stream=stream,
session_id=session_id_str or "",
+ fallback_to_env_vars=fallback_to_env_vars
)
if session_id_str and session_service:
await session_service.update_session(session_id_str, (graph, artifacts))
diff --git a/src/backend/base/langflow/services/auth/utils.py b/src/backend/base/langflow/services/auth/utils.py
index f8396077c..0e0aead88 100644
--- a/src/backend/base/langflow/services/auth/utils.py
+++ b/src/backend/base/langflow/services/auth/utils.py
@@ -76,11 +76,6 @@ async def get_current_user(
if token:
return await get_current_user_by_jwt(token, db)
else:
- if not query_param and not header_param:
- raise HTTPException(
- status_code=status.HTTP_403_FORBIDDEN,
- detail="An API key as query or header, or a JWT token must be passed",
- )
user = await api_key_security(query_param, header_param, db)
if user:
return user
@@ -216,15 +211,14 @@ def create_super_user(
def create_user_longterm_token(db: Session = Depends(get_session)) -> tuple[UUID, dict]:
settings_service = get_settings_service()
+
username = settings_service.auth_settings.SUPERUSER
- password = settings_service.auth_settings.SUPERUSER_PASSWORD
- if not username or not password:
+ super_user = get_user_by_username(db, username)
+ if not super_user:
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
- detail="Missing first superuser credentials",
+ detail="Super user hasn't been created"
)
- super_user = create_super_user(db=db, username=username, password=password)
-
access_token_expires_longterm = timedelta(days=365)
access_token = create_token(
data={"sub": str(super_user.id)},
diff --git a/src/backend/base/langflow/services/cache/service.py b/src/backend/base/langflow/services/cache/service.py
index 4ae4dc540..2aa187b22 100644
--- a/src/backend/base/langflow/services/cache/service.py
+++ b/src/backend/base/langflow/services/cache/service.py
@@ -9,6 +9,9 @@ from loguru import logger
from langflow.services.base import Service
from langflow.services.cache.base import AsyncBaseCacheService, CacheService
+from langflow.services.cache.utils import CacheMiss
+
+CACHE_MISS = CacheMiss()
class ThreadingInMemoryCache(CacheService, Service):
@@ -341,12 +344,14 @@ class AsyncInMemoryCache(AsyncBaseCacheService, Service):
async def _get(self, key):
item = self.cache.get(key, None)
- if item and (time.time() - item["time"] < self.expiration_time):
- self.cache.move_to_end(key)
- return pickle.loads(item["value"]) if isinstance(item["value"], bytes) else item["value"]
if item:
- await self.delete(key)
- return None
+ if time.time() - item["time"] < self.expiration_time:
+ self.cache.move_to_end(key)
+ return pickle.loads(item["value"]) if isinstance(item["value"], bytes) else item["value"]
+ else:
+ logger.info(f"Cache item for key '{key}' has expired and will be deleted.")
+ await self.delete(key) # Log before deleting the expired item
+ return CACHE_MISS
async def set(self, key, value, lock: Optional[asyncio.Lock] = None):
if not lock:
diff --git a/src/backend/base/langflow/services/cache/utils.py b/src/backend/base/langflow/services/cache/utils.py
index 129e9a6b7..ff19836ef 100644
--- a/src/backend/base/langflow/services/cache/utils.py
+++ b/src/backend/base/langflow/services/cache/utils.py
@@ -19,6 +19,11 @@ CACHE_DIR = user_cache_dir("langflow", "langflow")
PREFIX = "langflow_cache"
+class CacheMiss:
+ def __repr__(self):
+ return ""
+
+
def create_cache_folder(func):
def wrapper(*args, **kwargs):
# Get the destination folder
diff --git a/src/backend/base/langflow/services/chat/service.py b/src/backend/base/langflow/services/chat/service.py
index 072920418..042a541a3 100644
--- a/src/backend/base/langflow/services/chat/service.py
+++ b/src/backend/base/langflow/services/chat/service.py
@@ -13,7 +13,7 @@ class ChatService(Service):
self._cache_locks = defaultdict(asyncio.Lock)
self.cache_service = get_cache_service()
- async def set_cache(self, flow_id: str, data: Any, lock: Optional[asyncio.Lock] = None) -> bool:
+ async def set_cache(self, key: str, data: Any, lock: Optional[asyncio.Lock] = None) -> bool:
"""
Set the cache for a client.
"""
@@ -23,17 +23,17 @@ class ChatService(Service):
"result": data,
"type": type(data),
}
- await self.cache_service.upsert(flow_id, result_dict, lock=lock or self._cache_locks[flow_id])
- return flow_id in self.cache_service
+ await self.cache_service.upsert(key, result_dict, lock=lock or self._cache_locks[key])
+ return key in self.cache_service
- async def get_cache(self, flow_id: str, lock: Optional[asyncio.Lock] = None) -> Any:
+ async def get_cache(self, key: str, lock: Optional[asyncio.Lock] = None) -> Any:
"""
Get the cache for a client.
"""
- return await self.cache_service.get(flow_id, lock=lock or self._cache_locks[flow_id])
+ return await self.cache_service.get(key, lock=lock or self._cache_locks[key])
- async def clear_cache(self, flow_id: str, lock: Optional[asyncio.Lock] = None):
+ async def clear_cache(self, key: str, lock: Optional[asyncio.Lock] = None):
"""
Clear the cache for a client.
"""
- await self.cache_service.delete(flow_id, lock=lock or self._cache_locks[flow_id])
+ await self.cache_service.delete(key, lock=lock or self._cache_locks[key])
diff --git a/src/backend/base/langflow/services/database/factory.py b/src/backend/base/langflow/services/database/factory.py
index 7f7a142b5..f9c269f12 100644
--- a/src/backend/base/langflow/services/database/factory.py
+++ b/src/backend/base/langflow/services/database/factory.py
@@ -15,4 +15,4 @@ class DatabaseServiceFactory(ServiceFactory):
# Here you would have logic to create and configure a DatabaseService
if not settings_service.settings.database_url:
raise ValueError("No database URL provided")
- return DatabaseService(settings_service.settings.database_url)
+ return DatabaseService(settings_service)
diff --git a/src/backend/base/langflow/services/database/models/flow/model.py b/src/backend/base/langflow/services/database/models/flow/model.py
index 17b5e8931..7727c7b86 100644
--- a/src/backend/base/langflow/services/database/models/flow/model.py
+++ b/src/backend/base/langflow/services/database/models/flow/model.py
@@ -1,5 +1,6 @@
# Path: src/backend/langflow/services/database/models/flow/model.py
+import re
import warnings
from datetime import datetime, timezone
from typing import TYPE_CHECKING, Dict, Optional
@@ -7,7 +8,9 @@ from uuid import UUID, uuid4
import emoji
from emoji import purely_emoji # type: ignore
+from fastapi import HTTPException, status
from pydantic import field_serializer, field_validator
+from sqlalchemy import UniqueConstraint
from sqlmodel import JSON, Column, Field, Relationship, SQLModel
from langflow.schema.schema import Record
@@ -25,7 +28,25 @@ class FlowBase(SQLModel):
data: Optional[Dict] = Field(default=None, nullable=True)
is_component: Optional[bool] = Field(default=False, nullable=True)
updated_at: Optional[datetime] = Field(default_factory=lambda: datetime.now(timezone.utc), nullable=True)
- folder_id: Optional[UUID] = Field(default=None, nullable=True)
+ webhook: Optional[bool] = Field(default=False, nullable=True, description="Can be used on the webhook endpoint")
+ endpoint_name: Optional[str] = Field(default=None, nullable=True, index=True)
+
+ @field_validator("endpoint_name")
+ @classmethod
+ def validate_endpoint_name(cls, v):
+ # Endpoint name must be a string containing only letters, numbers, hyphens, and underscores
+ if v is not None:
+ if not isinstance(v, str):
+ raise HTTPException(
+ status_code=status.HTTP_422_UNPROCESSABLE_ENTITY,
+ detail="Endpoint name must be a string",
+ )
+ if not re.match(r"^[a-zA-Z0-9_-]+$", v):
+ raise HTTPException(
+ status_code=status.HTTP_422_UNPROCESSABLE_ENTITY,
+ detail="Endpoint name must contain only letters, numbers, hyphens, and underscores",
+ )
+ return v
@field_validator("icon_bg_color")
def validate_icon_bg_color(cls, v):
@@ -93,10 +114,15 @@ class FlowBase(SQLModel):
# updated_at can be serialized to JSON
@field_serializer("updated_at")
- def serialize_dt(self, dt: datetime, _info):
- if dt is None:
- return None
- return dt.isoformat()
+ def serialize_datetime(value):
+ if isinstance(value, datetime):
+ # I'm getting 2024-05-29T17:57:17.631346
+ # and I want 2024-05-29T17:57:17-05:00
+ value = value.replace(microsecond=0)
+ if value.tzinfo is None:
+ value = value.replace(tzinfo=timezone.utc)
+ return value.isoformat()
+ return value
@field_validator("updated_at", mode="before")
def validate_dt(cls, v):
@@ -128,6 +154,11 @@ class Flow(FlowBase, table=True):
record = Record(data=data)
return record
+ __table_args__ = (
+ UniqueConstraint("user_id", "name", name="unique_flow_name"),
+ UniqueConstraint("user_id", "endpoint_name", name="unique_flow_endpoint_name"),
+ )
+
class FlowCreate(FlowBase):
user_id: Optional[UUID] = None
@@ -145,3 +176,21 @@ class FlowUpdate(SQLModel):
description: Optional[str] = None
data: Optional[Dict] = None
folder_id: Optional[UUID] = None
+ endpoint_name: Optional[str] = None
+
+ @field_validator("endpoint_name")
+ @classmethod
+ def validate_endpoint_name(cls, v):
+ # Endpoint name must be a string containing only letters, numbers, hyphens, and underscores
+ if v is not None:
+ if not isinstance(v, str):
+ raise HTTPException(
+ status_code=status.HTTP_422_UNPROCESSABLE_ENTITY,
+ detail="Endpoint name must be a string",
+ )
+ if not re.match(r"^[a-zA-Z0-9_-]+$", v):
+ raise HTTPException(
+ status_code=status.HTTP_422_UNPROCESSABLE_ENTITY,
+ detail="Endpoint name must contain only letters, numbers, hyphens, and underscores",
+ )
+ return v
diff --git a/src/backend/base/langflow/services/database/models/flow/utils.py b/src/backend/base/langflow/services/database/models/flow/utils.py
new file mode 100644
index 000000000..b8ea9d658
--- /dev/null
+++ b/src/backend/base/langflow/services/database/models/flow/utils.py
@@ -0,0 +1,33 @@
+from typing import Optional
+
+from fastapi import Depends
+from sqlmodel import Session
+
+from langflow.services.deps import get_session
+
+from .model import Flow
+
+
+def get_flow_by_id(session: Session = Depends(get_session), flow_id: Optional[str] = None) -> Flow | None:
+ """Get flow by id."""
+
+ if flow_id is None:
+ raise ValueError("Flow id is required.")
+
+ return session.get(Flow, flow_id)
+
+
+def get_webhook_component_in_flow(flow_data: dict):
+ """Get webhook component in flow data."""
+
+ for node in flow_data.get("nodes", []):
+ if "Webhook" in node.get("id"):
+ return node
+ return None
+
+
+def get_all_webhook_components_in_flow(flow_data: dict | None):
+ """Get all webhook components in flow data."""
+ if not flow_data:
+ return []
+ return [node for node in flow_data.get("nodes", []) if "Webhook" in node.get("id")]
diff --git a/src/backend/base/langflow/services/database/models/folder/model.py b/src/backend/base/langflow/services/database/models/folder/model.py
index 6ce038c63..dc2dfaa80 100644
--- a/src/backend/base/langflow/services/database/models/folder/model.py
+++ b/src/backend/base/langflow/services/database/models/folder/model.py
@@ -1,6 +1,7 @@
from typing import TYPE_CHECKING, List, Optional
from uuid import UUID, uuid4
+from sqlalchemy import UniqueConstraint
from sqlmodel import Field, Relationship, SQLModel
from langflow.services.database.models.flow.model import FlowRead
@@ -30,6 +31,8 @@ class Folder(FolderBase, table=True):
back_populates="folder", sa_relationship_kwargs={"cascade": "all, delete, delete-orphan"}
)
+ __table_args__ = (UniqueConstraint("user_id", "name", name="unique_folder_name"),)
+
class FolderCreate(FolderBase):
components_list: Optional[List[UUID]] = None
diff --git a/src/backend/base/langflow/services/database/service.py b/src/backend/base/langflow/services/database/service.py
index 674c6c645..cf3795610 100644
--- a/src/backend/base/langflow/services/database/service.py
+++ b/src/backend/base/langflow/services/database/service.py
@@ -21,12 +21,17 @@ from langflow.services.utils import teardown_superuser
if TYPE_CHECKING:
from sqlalchemy.engine import Engine
+ from langflow.services.settings.service import SettingsService
+
class DatabaseService(Service):
name = "database_service"
- def __init__(self, database_url: str):
- self.database_url = database_url
+ def __init__(self, settings_service: "SettingsService"):
+ self.settings_service = settings_service
+ if settings_service.settings.database_url is None:
+ raise ValueError("No database URL provided")
+ self.database_url: str = settings_service.settings.database_url
# This file is in langflow.services.database.manager.py
# the ini is in langflow
langflow_dir = Path(__file__).parent.parent.parent
@@ -41,7 +46,12 @@ class DatabaseService(Service):
connect_args = {"check_same_thread": False}
else:
connect_args = {}
- return create_engine(self.database_url, connect_args=connect_args)
+ return create_engine(
+ self.database_url,
+ connect_args=connect_args,
+ pool_size=self.settings_service.settings.pool_size,
+ max_overflow=self.settings_service.settings.max_overflow,
+ )
def __enter__(self):
self._session = Session(self.engine)
@@ -267,3 +277,4 @@ class DatabaseService(Service):
logger.error(f"Error tearing down database: {exc}")
self.engine.dispose()
+ self.engine.dispose()
diff --git a/src/backend/base/langflow/services/monitor/utils.py b/src/backend/base/langflow/services/monitor/utils.py
index aec5ae0c6..f603b3fde 100644
--- a/src/backend/base/langflow/services/monitor/utils.py
+++ b/src/backend/base/langflow/services/monitor/utils.py
@@ -8,6 +8,7 @@ from langflow.services.deps import get_monitor_service
if TYPE_CHECKING:
from langflow.api.v1.schemas import ResultDataResponse
+ from langflow.graph.vertex.base import Vertex
INDEX_KEY = "index"
@@ -165,3 +166,35 @@ async def log_vertex_build(
monitor_service.add_row(table_name="vertex_builds", data=row)
except Exception as e:
logger.exception(f"Error logging vertex build: {e}")
+
+
+def build_clean_params(target: "Vertex") -> dict:
+ """
+ Cleans the parameters of the target vertex.
+ """
+ # Removes all keys that the values aren't python types like str, int, bool, etc.
+ params = {
+ key: value for key, value in target.params.items() if isinstance(value, (str, int, bool, float, list, dict))
+ }
+ # if it is a list we need to check if the contents are python types
+ for key, value in params.items():
+ if isinstance(value, list):
+ params[key] = [item for item in value if isinstance(item, (str, int, bool, float, list, dict))]
+ return params
+
+
+def log_transaction(vertex: "Vertex", status, error=None):
+ try:
+ monitor_service = get_monitor_service()
+ clean_params = build_clean_params(vertex)
+ data = {
+ "vertex_id": vertex.id,
+ "inputs": clean_params,
+ "output": str(vertex.result),
+ "timestamp": monitor_service.get_timestamp(),
+ "status": status,
+ "error": error,
+ }
+ monitor_service.add_row(table_name="transactions", data=data)
+ except Exception as e:
+ logger.error(f"Error logging transaction: {e}")
diff --git a/src/backend/base/langflow/services/settings/auth.py b/src/backend/base/langflow/services/settings/auth.py
index 0ea3c237e..8e321ed19 100644
--- a/src/backend/base/langflow/services/settings/auth.py
+++ b/src/backend/base/langflow/services/settings/auth.py
@@ -47,6 +47,9 @@ class AuthSettings(BaseSettings):
ACCESS_HTTPONLY: bool = False
"""The HttpOnly attribute of the access token cookie."""
+ COOKIE_DOMAIN: str | None = None
+ """The domain attribute of the cookies. If None, the domain is not set."""
+
pwd_context: CryptContext = CryptContext(schemes=["bcrypt"], deprecated="auto")
class Config:
diff --git a/src/backend/base/langflow/services/settings/base.py b/src/backend/base/langflow/services/settings/base.py
index 05a368c9b..259e10170 100644
--- a/src/backend/base/langflow/services/settings/base.py
+++ b/src/backend/base/langflow/services/settings/base.py
@@ -67,10 +67,17 @@ class Settings(BaseSettings):
dev: bool = False
database_url: Optional[str] = None
+ """Database URL for Langflow. If not provided, Langflow will use a SQLite database."""
+ pool_size: int = 10
+ """The number of connections to keep open in the connection pool. If not provided, the default is 10."""
+ max_overflow: int = 10
+ """The number of connections to allow that can be opened beyond the pool size. If not provided, the default is 10."""
cache_type: str = "async"
remove_api_keys: bool = False
components_path: List[str] = []
langchain_cache: str = "InMemoryCache"
+ load_flows_path: Optional[str] = None
+
# Redis
redis_host: str = "localhost"
@@ -104,6 +111,10 @@ class Settings(BaseSettings):
"""Whether to store environment variables as Global Variables in the database."""
variables_to_get_from_environment: list[str] = VARIABLES_TO_GET_FROM_ENVIRONMENT
"""List of environment variables to get from the environment and store in the database."""
+ worker_timeout: int = 300
+ """Timeout for the API calls in seconds."""
+ frontend_timeout: int = 0
+ """Timeout for the frontend API calls in seconds."""
@field_validator("config_dir", mode="before")
def set_langflow_dir(cls, value):
@@ -142,7 +153,13 @@ class Settings(BaseSettings):
# if there is a database in that location
if not info.data["config_dir"]:
raise ValueError("config_dir not set, please set it or provide a database_url")
- from langflow.version import is_pre_release # type: ignore
+ try:
+ from langflow.version import is_pre_release # type: ignore
+ except ImportError:
+ from importlib import metadata
+
+ version = metadata.version("langflow-base")
+ is_pre_release = "a" in version or "b" in version or "rc" in version
if info.data["save_db_in_config_dir"]:
database_dir = info.data["config_dir"]
diff --git a/src/backend/base/langflow/services/settings/constants.py b/src/backend/base/langflow/services/settings/constants.py
index 37c2f1db7..256030183 100644
--- a/src/backend/base/langflow/services/settings/constants.py
+++ b/src/backend/base/langflow/services/settings/constants.py
@@ -17,6 +17,8 @@ VARIABLES_TO_GET_FROM_ENVIRONMENT = [
"PINECONE_API_KEY",
"SEARCHAPI_API_KEY",
"SERPAPI_API_KEY",
+ "UPSTASH_VECTOR_REST_URL",
+ "UPSTASH_VECTOR_REST_TOKEN",
"VECTARA_CUSTOMER_ID",
"VECTARA_CORPUS_ID",
"VECTARA_API_KEY",
diff --git a/src/backend/base/langflow/services/settings/service.py b/src/backend/base/langflow/services/settings/service.py
index 0d9d63bc4..95088e829 100644
--- a/src/backend/base/langflow/services/settings/service.py
+++ b/src/backend/base/langflow/services/settings/service.py
@@ -1,4 +1,5 @@
import os
+from typing import Optional
import yaml
from loguru import logger
@@ -7,7 +8,6 @@ from langflow.services.base import Service
from langflow.services.settings.auth import AuthSettings
from langflow.services.settings.base import Settings
-
class SettingsService(Service):
name = "settings_service"
@@ -27,7 +27,6 @@ class SettingsService(Service):
with open(file_path, "r") as f:
settings_dict = yaml.safe_load(f)
- settings_dict = {k.upper(): v for k, v in settings_dict.items()}
for key in settings_dict:
if key not in Settings.model_fields.keys():
@@ -42,3 +41,7 @@ class SettingsService(Service):
CONFIG_DIR=settings.config_dir,
)
return cls(settings, auth_settings)
+
+ def set(self, key, value):
+ setattr(self.settings, key, value)
+ return self.settings
diff --git a/src/backend/base/langflow/utils/migration.py b/src/backend/base/langflow/utils/migration.py
new file mode 100644
index 000000000..b85522c5b
--- /dev/null
+++ b/src/backend/base/langflow/utils/migration.py
@@ -0,0 +1,65 @@
+from sqlalchemy.engine.reflection import Inspector
+
+
+def table_exists(name, conn):
+ """
+ Check if a table exists.
+
+ Parameters:
+ name (str): The name of the table to check.
+ conn (sqlalchemy.engine.Engine or sqlalchemy.engine.Connection): The SQLAlchemy engine or connection to use.
+
+ Returns:
+ bool: True if the table exists, False otherwise.
+ """
+ inspector = Inspector.from_engine(conn)
+ return name in inspector.get_table_names()
+
+
+def column_exists(table_name, column_name, conn):
+ """
+ Check if a column exists in a table.
+
+ Parameters:
+ table_name (str): The name of the table to check.
+ column_name (str): The name of the column to check.
+ conn (sqlalchemy.engine.Engine or sqlalchemy.engine.Connection): The SQLAlchemy engine or connection to use.
+
+ Returns:
+ bool: True if the column exists, False otherwise.
+ """
+ inspector = Inspector.from_engine(conn)
+ return column_name in [column["name"] for column in inspector.get_columns(table_name)]
+
+
+def foreign_key_exists(table_name, fk_name, conn):
+ """
+ Check if a foreign key exists in a table.
+
+ Parameters:
+ table_name (str): The name of the table to check.
+ fk_name (str): The name of the foreign key to check.
+ conn (sqlalchemy.engine.Engine or sqlalchemy.engine.Connection): The SQLAlchemy engine or connection to use.
+
+ Returns:
+ bool: True if the foreign key exists, False otherwise.
+ """
+ inspector = Inspector.from_engine(conn)
+ return fk_name in [fk["name"] for fk in inspector.get_foreign_keys(table_name)]
+
+
+def constraint_exists(table_name, constraint_name, conn):
+ """
+ Check if a constraint exists in a table.
+
+ Parameters:
+ table_name (str): The name of the table to check.
+ constraint_name (str): The name of the constraint to check.
+ conn (sqlalchemy.engine.Engine or sqlalchemy.engine.Connection): The SQLAlchemy engine or connection to use.
+
+ Returns:
+ bool: True if the constraint exists, False otherwise.
+ """
+ inspector = Inspector.from_engine(conn)
+ constraints = inspector.get_unique_constraints(table_name)
+ return constraint_name in [constraint["name"] for constraint in constraints]
diff --git a/src/backend/base/poetry.lock b/src/backend/base/poetry.lock
index 7a36a93cc..12fe93f21 100644
--- a/src/backend/base/poetry.lock
+++ b/src/backend/base/poetry.lock
@@ -264,13 +264,13 @@ files = [
[[package]]
name = "certifi"
-version = "2024.2.2"
+version = "2024.6.2"
description = "Python package for providing Mozilla's CA Bundle."
optional = false
python-versions = ">=3.6"
files = [
- {file = "certifi-2024.2.2-py3-none-any.whl", hash = "sha256:dc383c07b76109f368f6106eee2b593b04a011ea4d55f652c6ca24a754d1cdd1"},
- {file = "certifi-2024.2.2.tar.gz", hash = "sha256:0569859f95fc761b18b45ef421b1290a0f65f147e92a1e5eb3e635f9a5e4e66f"},
+ {file = "certifi-2024.6.2-py3-none-any.whl", hash = "sha256:ddc6c8ce995e6987e7faf5e3f1b02b302836a0e5d98ece18392cb1a36c72ad56"},
+ {file = "certifi-2024.6.2.tar.gz", hash = "sha256:3cd43f1c6fa7dedc5899d69d3ad0398fd018ad1a17fba83ddaf78aa46c747516"},
]
[[package]]
@@ -463,43 +463,43 @@ files = [
[[package]]
name = "cryptography"
-version = "42.0.7"
+version = "42.0.8"
description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers."
optional = false
python-versions = ">=3.7"
files = [
- {file = "cryptography-42.0.7-cp37-abi3-macosx_10_12_universal2.whl", hash = "sha256:a987f840718078212fdf4504d0fd4c6effe34a7e4740378e59d47696e8dfb477"},
- {file = "cryptography-42.0.7-cp37-abi3-macosx_10_12_x86_64.whl", hash = "sha256:bd13b5e9b543532453de08bcdc3cc7cebec6f9883e886fd20a92f26940fd3e7a"},
- {file = "cryptography-42.0.7-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a79165431551042cc9d1d90e6145d5d0d3ab0f2d66326c201d9b0e7f5bf43604"},
- {file = "cryptography-42.0.7-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a47787a5e3649008a1102d3df55424e86606c9bae6fb77ac59afe06d234605f8"},
- {file = "cryptography-42.0.7-cp37-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:02c0eee2d7133bdbbc5e24441258d5d2244beb31da5ed19fbb80315f4bbbff55"},
- {file = "cryptography-42.0.7-cp37-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:5e44507bf8d14b36b8389b226665d597bc0f18ea035d75b4e53c7b1ea84583cc"},
- {file = "cryptography-42.0.7-cp37-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:7f8b25fa616d8b846aef64b15c606bb0828dbc35faf90566eb139aa9cff67af2"},
- {file = "cryptography-42.0.7-cp37-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:93a3209f6bb2b33e725ed08ee0991b92976dfdcf4e8b38646540674fc7508e13"},
- {file = "cryptography-42.0.7-cp37-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:e6b8f1881dac458c34778d0a424ae5769de30544fc678eac51c1c8bb2183e9da"},
- {file = "cryptography-42.0.7-cp37-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:3de9a45d3b2b7d8088c3fbf1ed4395dfeff79d07842217b38df14ef09ce1d8d7"},
- {file = "cryptography-42.0.7-cp37-abi3-win32.whl", hash = "sha256:789caea816c6704f63f6241a519bfa347f72fbd67ba28d04636b7c6b7da94b0b"},
- {file = "cryptography-42.0.7-cp37-abi3-win_amd64.whl", hash = "sha256:8cb8ce7c3347fcf9446f201dc30e2d5a3c898d009126010cbd1f443f28b52678"},
- {file = "cryptography-42.0.7-cp39-abi3-macosx_10_12_universal2.whl", hash = "sha256:a3a5ac8b56fe37f3125e5b72b61dcde43283e5370827f5233893d461b7360cd4"},
- {file = "cryptography-42.0.7-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:779245e13b9a6638df14641d029add5dc17edbef6ec915688f3acb9e720a5858"},
- {file = "cryptography-42.0.7-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0d563795db98b4cd57742a78a288cdbdc9daedac29f2239793071fe114f13785"},
- {file = "cryptography-42.0.7-cp39-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:31adb7d06fe4383226c3e963471f6837742889b3c4caa55aac20ad951bc8ffda"},
- {file = "cryptography-42.0.7-cp39-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:efd0bf5205240182e0f13bcaea41be4fdf5c22c5129fc7ced4a0282ac86998c9"},
- {file = "cryptography-42.0.7-cp39-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:a9bc127cdc4ecf87a5ea22a2556cab6c7eda2923f84e4f3cc588e8470ce4e42e"},
- {file = "cryptography-42.0.7-cp39-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:3577d029bc3f4827dd5bf8bf7710cac13527b470bbf1820a3f394adb38ed7d5f"},
- {file = "cryptography-42.0.7-cp39-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:2e47577f9b18723fa294b0ea9a17d5e53a227867a0a4904a1a076d1646d45ca1"},
- {file = "cryptography-42.0.7-cp39-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:1a58839984d9cb34c855197043eaae2c187d930ca6d644612843b4fe8513c886"},
- {file = "cryptography-42.0.7-cp39-abi3-win32.whl", hash = "sha256:e6b79d0adb01aae87e8a44c2b64bc3f3fe59515280e00fb6d57a7267a2583cda"},
- {file = "cryptography-42.0.7-cp39-abi3-win_amd64.whl", hash = "sha256:16268d46086bb8ad5bf0a2b5544d8a9ed87a0e33f5e77dd3c3301e63d941a83b"},
- {file = "cryptography-42.0.7-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:2954fccea107026512b15afb4aa664a5640cd0af630e2ee3962f2602693f0c82"},
- {file = "cryptography-42.0.7-pp310-pypy310_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:362e7197754c231797ec45ee081f3088a27a47c6c01eff2ac83f60f85a50fe60"},
- {file = "cryptography-42.0.7-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:4f698edacf9c9e0371112792558d2f705b5645076cc0aaae02f816a0171770fd"},
- {file = "cryptography-42.0.7-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:5482e789294854c28237bba77c4c83be698be740e31a3ae5e879ee5444166582"},
- {file = "cryptography-42.0.7-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:e9b2a6309f14c0497f348d08a065d52f3020656f675819fc405fb63bbcd26562"},
- {file = "cryptography-42.0.7-pp39-pypy39_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:d8e3098721b84392ee45af2dd554c947c32cc52f862b6a3ae982dbb90f577f14"},
- {file = "cryptography-42.0.7-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:c65f96dad14f8528a447414125e1fc8feb2ad5a272b8f68477abbcc1ea7d94b9"},
- {file = "cryptography-42.0.7-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:36017400817987670037fbb0324d71489b6ead6231c9604f8fc1f7d008087c68"},
- {file = "cryptography-42.0.7.tar.gz", hash = "sha256:ecbfbc00bf55888edda9868a4cf927205de8499e7fabe6c050322298382953f2"},
+ {file = "cryptography-42.0.8-cp37-abi3-macosx_10_12_universal2.whl", hash = "sha256:81d8a521705787afe7a18d5bfb47ea9d9cc068206270aad0b96a725022e18d2e"},
+ {file = "cryptography-42.0.8-cp37-abi3-macosx_10_12_x86_64.whl", hash = "sha256:961e61cefdcb06e0c6d7e3a1b22ebe8b996eb2bf50614e89384be54c48c6b63d"},
+ {file = "cryptography-42.0.8-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e3ec3672626e1b9e55afd0df6d774ff0e953452886e06e0f1eb7eb0c832e8902"},
+ {file = "cryptography-42.0.8-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e599b53fd95357d92304510fb7bda8523ed1f79ca98dce2f43c115950aa78801"},
+ {file = "cryptography-42.0.8-cp37-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:5226d5d21ab681f432a9c1cf8b658c0cb02533eece706b155e5fbd8a0cdd3949"},
+ {file = "cryptography-42.0.8-cp37-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:6b7c4f03ce01afd3b76cf69a5455caa9cfa3de8c8f493e0d3ab7d20611c8dae9"},
+ {file = "cryptography-42.0.8-cp37-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:2346b911eb349ab547076f47f2e035fc8ff2c02380a7cbbf8d87114fa0f1c583"},
+ {file = "cryptography-42.0.8-cp37-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:ad803773e9df0b92e0a817d22fd8a3675493f690b96130a5e24f1b8fabbea9c7"},
+ {file = "cryptography-42.0.8-cp37-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:2f66d9cd9147ee495a8374a45ca445819f8929a3efcd2e3df6428e46c3cbb10b"},
+ {file = "cryptography-42.0.8-cp37-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:d45b940883a03e19e944456a558b67a41160e367a719833c53de6911cabba2b7"},
+ {file = "cryptography-42.0.8-cp37-abi3-win32.whl", hash = "sha256:a0c5b2b0585b6af82d7e385f55a8bc568abff8923af147ee3c07bd8b42cda8b2"},
+ {file = "cryptography-42.0.8-cp37-abi3-win_amd64.whl", hash = "sha256:57080dee41209e556a9a4ce60d229244f7a66ef52750f813bfbe18959770cfba"},
+ {file = "cryptography-42.0.8-cp39-abi3-macosx_10_12_universal2.whl", hash = "sha256:dea567d1b0e8bc5764b9443858b673b734100c2871dc93163f58c46a97a83d28"},
+ {file = "cryptography-42.0.8-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c4783183f7cb757b73b2ae9aed6599b96338eb957233c58ca8f49a49cc32fd5e"},
+ {file = "cryptography-42.0.8-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a0608251135d0e03111152e41f0cc2392d1e74e35703960d4190b2e0f4ca9c70"},
+ {file = "cryptography-42.0.8-cp39-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:dc0fdf6787f37b1c6b08e6dfc892d9d068b5bdb671198c72072828b80bd5fe4c"},
+ {file = "cryptography-42.0.8-cp39-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:9c0c1716c8447ee7dbf08d6db2e5c41c688544c61074b54fc4564196f55c25a7"},
+ {file = "cryptography-42.0.8-cp39-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:fff12c88a672ab9c9c1cf7b0c80e3ad9e2ebd9d828d955c126be4fd3e5578c9e"},
+ {file = "cryptography-42.0.8-cp39-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:cafb92b2bc622cd1aa6a1dce4b93307792633f4c5fe1f46c6b97cf67073ec961"},
+ {file = "cryptography-42.0.8-cp39-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:31f721658a29331f895a5a54e7e82075554ccfb8b163a18719d342f5ffe5ecb1"},
+ {file = "cryptography-42.0.8-cp39-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:b297f90c5723d04bcc8265fc2a0f86d4ea2e0f7ab4b6994459548d3a6b992a14"},
+ {file = "cryptography-42.0.8-cp39-abi3-win32.whl", hash = "sha256:2f88d197e66c65be5e42cd72e5c18afbfae3f741742070e3019ac8f4ac57262c"},
+ {file = "cryptography-42.0.8-cp39-abi3-win_amd64.whl", hash = "sha256:fa76fbb7596cc5839320000cdd5d0955313696d9511debab7ee7278fc8b5c84a"},
+ {file = "cryptography-42.0.8-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:ba4f0a211697362e89ad822e667d8d340b4d8d55fae72cdd619389fb5912eefe"},
+ {file = "cryptography-42.0.8-pp310-pypy310_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:81884c4d096c272f00aeb1f11cf62ccd39763581645b0812e99a91505fa48e0c"},
+ {file = "cryptography-42.0.8-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:c9bb2ae11bfbab395bdd072985abde58ea9860ed84e59dbc0463a5d0159f5b71"},
+ {file = "cryptography-42.0.8-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:7016f837e15b0a1c119d27ecd89b3515f01f90a8615ed5e9427e30d9cdbfed3d"},
+ {file = "cryptography-42.0.8-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:5a94eccb2a81a309806027e1670a358b99b8fe8bfe9f8d329f27d72c094dde8c"},
+ {file = "cryptography-42.0.8-pp39-pypy39_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:dec9b018df185f08483f294cae6ccac29e7a6e0678996587363dc352dc65c842"},
+ {file = "cryptography-42.0.8-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:343728aac38decfdeecf55ecab3264b015be68fc2816ca800db649607aeee648"},
+ {file = "cryptography-42.0.8-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:013629ae70b40af70c9a7a5db40abe5d9054e6f4380e50ce769947b73bf3caad"},
+ {file = "cryptography-42.0.8.tar.gz", hash = "sha256:8d09d05439ce7baa8e9e95b07ec5b6c886f548deb7e0f69ef25f64b3bce842f2"},
]
[package.dependencies]
@@ -1159,13 +1159,13 @@ files = [
[[package]]
name = "langchain"
-version = "0.2.1"
+version = "0.2.2"
description = "Building applications with LLMs through composability"
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
- {file = "langchain-0.2.1-py3-none-any.whl", hash = "sha256:3e13bf97c5717bce2c281f5117e8778823e8ccf62d949e73d3869448962b1c97"},
- {file = "langchain-0.2.1.tar.gz", hash = "sha256:5758a315e1ac92eb26dafec5ad0fafa03cafa686aba197d5bb0b1dd28cc03ebe"},
+ {file = "langchain-0.2.2-py3-none-any.whl", hash = "sha256:58ca0c47bcdd156da66f50a0a4fcedc49bf6950827f4a6b06c8c4842d55805f3"},
+ {file = "langchain-0.2.2.tar.gz", hash = "sha256:9d61e50e9cdc2bea659bc5e6c03650ba048fda63a307490ae368e539f61a0d3a"},
]
[package.dependencies]
@@ -1197,13 +1197,13 @@ text-helpers = ["chardet (>=5.1.0,<6.0.0)"]
[[package]]
name = "langchain-community"
-version = "0.2.1"
+version = "0.2.3"
description = "Community contributed LangChain integrations."
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
- {file = "langchain_community-0.2.1-py3-none-any.whl", hash = "sha256:b834e2c5ded6903b839fcaf566eee90a0ffae53405a0f7748202725e701d39cd"},
- {file = "langchain_community-0.2.1.tar.gz", hash = "sha256:079942e8f15da975769ccaae19042b7bba5481c42020bbbd7d8cad73a9393261"},
+ {file = "langchain_community-0.2.3-py3-none-any.whl", hash = "sha256:aa895545be2f3f4aa2fea36f6da2e3b4ec50ce61ec986e8f146901a1e9138138"},
+ {file = "langchain_community-0.2.3.tar.gz", hash = "sha256:a3c35af215e47b700e7cb4e548fa8b45c6d46d52b5a5a65af2577c5a0104fc9f"},
]
[package.dependencies]
@@ -1220,22 +1220,22 @@ tenacity = ">=8.1.0,<9.0.0"
[package.extras]
cli = ["typer (>=0.9.0,<0.10.0)"]
-extended-testing = ["aiosqlite (>=0.19.0,<0.20.0)", "aleph-alpha-client (>=2.15.0,<3.0.0)", "anthropic (>=0.3.11,<0.4.0)", "arxiv (>=1.4,<2.0)", "assemblyai (>=0.17.0,<0.18.0)", "atlassian-python-api (>=3.36.0,<4.0.0)", "azure-ai-documentintelligence (>=1.0.0b1,<2.0.0)", "azure-identity (>=1.15.0,<2.0.0)", "azure-search-documents (==11.4.0)", "beautifulsoup4 (>=4,<5)", "bibtexparser (>=1.4.0,<2.0.0)", "cassio (>=0.1.6,<0.2.0)", "chardet (>=5.1.0,<6.0.0)", "cloudpathlib (>=0.18,<0.19)", "cloudpickle (>=2.0.0)", "cohere (>=4,<5)", "databricks-vectorsearch (>=0.21,<0.22)", "datasets (>=2.15.0,<3.0.0)", "dgml-utils (>=0.3.0,<0.4.0)", "elasticsearch (>=8.12.0,<9.0.0)", "esprima (>=4.0.1,<5.0.0)", "faiss-cpu (>=1,<2)", "feedparser (>=6.0.10,<7.0.0)", "fireworks-ai (>=0.9.0,<0.10.0)", "friendli-client (>=1.2.4,<2.0.0)", "geopandas (>=0.13.1,<0.14.0)", "gitpython (>=3.1.32,<4.0.0)", "google-cloud-documentai (>=2.20.1,<3.0.0)", "gql (>=3.4.1,<4.0.0)", "gradientai (>=1.4.0,<2.0.0)", "hdbcli (>=2.19.21,<3.0.0)", "hologres-vector (>=0.0.6,<0.0.7)", "html2text (>=2020.1.16,<2021.0.0)", "httpx (>=0.24.1,<0.25.0)", "httpx-sse (>=0.4.0,<0.5.0)", "javelin-sdk (>=0.1.8,<0.2.0)", "jinja2 (>=3,<4)", "jq (>=1.4.1,<2.0.0)", "jsonschema (>1)", "lxml (>=4.9.3,<6.0)", "markdownify (>=0.11.6,<0.12.0)", "motor (>=3.3.1,<4.0.0)", "msal (>=1.25.0,<2.0.0)", "mwparserfromhell (>=0.6.4,<0.7.0)", "mwxml (>=0.3.3,<0.4.0)", "newspaper3k (>=0.2.8,<0.3.0)", "numexpr (>=2.8.6,<3.0.0)", "nvidia-riva-client (>=2.14.0,<3.0.0)", "oci (>=2.119.1,<3.0.0)", "openai (<2)", "openapi-pydantic (>=0.3.2,<0.4.0)", "oracle-ads (>=2.9.1,<3.0.0)", "oracledb (>=2.2.0,<3.0.0)", "pandas (>=2.0.1,<3.0.0)", "pdfminer-six (>=20221105,<20221106)", "pgvector (>=0.1.6,<0.2.0)", "praw (>=7.7.1,<8.0.0)", "premai (>=0.3.25,<0.4.0)", "psychicapi (>=0.8.0,<0.9.0)", "py-trello (>=0.19.0,<0.20.0)", "pyjwt (>=2.8.0,<3.0.0)", "pymupdf (>=1.22.3,<2.0.0)", "pypdf (>=3.4.0,<4.0.0)", "pypdfium2 (>=4.10.0,<5.0.0)", "pyspark (>=3.4.0,<4.0.0)", "rank-bm25 (>=0.2.2,<0.3.0)", "rapidfuzz (>=3.1.1,<4.0.0)", "rapidocr-onnxruntime (>=1.3.2,<2.0.0)", "rdflib (==7.0.0)", "requests-toolbelt (>=1.0.0,<2.0.0)", "rspace_client (>=2.5.0,<3.0.0)", "scikit-learn (>=1.2.2,<2.0.0)", "sqlite-vss (>=0.1.2,<0.2.0)", "streamlit (>=1.18.0,<2.0.0)", "sympy (>=1.12,<2.0)", "telethon (>=1.28.5,<2.0.0)", "tidb-vector (>=0.0.3,<1.0.0)", "timescale-vector (>=0.0.1,<0.0.2)", "tqdm (>=4.48.0)", "tree-sitter (>=0.20.2,<0.21.0)", "tree-sitter-languages (>=1.8.0,<2.0.0)", "upstash-redis (>=0.15.0,<0.16.0)", "vdms (>=0.0.20,<0.0.21)", "xata (>=1.0.0a7,<2.0.0)", "xmltodict (>=0.13.0,<0.14.0)"]
+extended-testing = ["aiosqlite (>=0.19.0,<0.20.0)", "aleph-alpha-client (>=2.15.0,<3.0.0)", "anthropic (>=0.3.11,<0.4.0)", "arxiv (>=1.4,<2.0)", "assemblyai (>=0.17.0,<0.18.0)", "atlassian-python-api (>=3.36.0,<4.0.0)", "azure-ai-documentintelligence (>=1.0.0b1,<2.0.0)", "azure-identity (>=1.15.0,<2.0.0)", "azure-search-documents (==11.4.0)", "beautifulsoup4 (>=4,<5)", "bibtexparser (>=1.4.0,<2.0.0)", "cassio (>=0.1.6,<0.2.0)", "chardet (>=5.1.0,<6.0.0)", "cloudpathlib (>=0.18,<0.19)", "cloudpickle (>=2.0.0)", "cohere (>=4,<5)", "databricks-vectorsearch (>=0.21,<0.22)", "datasets (>=2.15.0,<3.0.0)", "dgml-utils (>=0.3.0,<0.4.0)", "elasticsearch (>=8.12.0,<9.0.0)", "esprima (>=4.0.1,<5.0.0)", "faiss-cpu (>=1,<2)", "feedparser (>=6.0.10,<7.0.0)", "fireworks-ai (>=0.9.0,<0.10.0)", "friendli-client (>=1.2.4,<2.0.0)", "geopandas (>=0.13.1,<0.14.0)", "gitpython (>=3.1.32,<4.0.0)", "google-cloud-documentai (>=2.20.1,<3.0.0)", "gql (>=3.4.1,<4.0.0)", "gradientai (>=1.4.0,<2.0.0)", "hdbcli (>=2.19.21,<3.0.0)", "hologres-vector (>=0.0.6,<0.0.7)", "html2text (>=2020.1.16,<2021.0.0)", "httpx (>=0.24.1,<0.25.0)", "httpx-sse (>=0.4.0,<0.5.0)", "javelin-sdk (>=0.1.8,<0.2.0)", "jinja2 (>=3,<4)", "jq (>=1.4.1,<2.0.0)", "jsonschema (>1)", "lxml (>=4.9.3,<6.0)", "markdownify (>=0.11.6,<0.12.0)", "motor (>=3.3.1,<4.0.0)", "msal (>=1.25.0,<2.0.0)", "mwparserfromhell (>=0.6.4,<0.7.0)", "mwxml (>=0.3.3,<0.4.0)", "newspaper3k (>=0.2.8,<0.3.0)", "numexpr (>=2.8.6,<3.0.0)", "nvidia-riva-client (>=2.14.0,<3.0.0)", "oci (>=2.119.1,<3.0.0)", "openai (<2)", "openapi-pydantic (>=0.3.2,<0.4.0)", "oracle-ads (>=2.9.1,<3.0.0)", "oracledb (>=2.2.0,<3.0.0)", "pandas (>=2.0.1,<3.0.0)", "pdfminer-six (>=20221105,<20221106)", "pgvector (>=0.1.6,<0.2.0)", "praw (>=7.7.1,<8.0.0)", "premai (>=0.3.25,<0.4.0)", "psychicapi (>=0.8.0,<0.9.0)", "py-trello (>=0.19.0,<0.20.0)", "pyjwt (>=2.8.0,<3.0.0)", "pymupdf (>=1.22.3,<2.0.0)", "pypdf (>=3.4.0,<4.0.0)", "pypdfium2 (>=4.10.0,<5.0.0)", "pyspark (>=3.4.0,<4.0.0)", "rank-bm25 (>=0.2.2,<0.3.0)", "rapidfuzz (>=3.1.1,<4.0.0)", "rapidocr-onnxruntime (>=1.3.2,<2.0.0)", "rdflib (==7.0.0)", "requests-toolbelt (>=1.0.0,<2.0.0)", "rspace_client (>=2.5.0,<3.0.0)", "scikit-learn (>=1.2.2,<2.0.0)", "simsimd (>=4.3.1,<5.0.0)", "sqlite-vss (>=0.1.2,<0.2.0)", "streamlit (>=1.18.0,<2.0.0)", "sympy (>=1.12,<2.0)", "telethon (>=1.28.5,<2.0.0)", "tidb-vector (>=0.0.3,<1.0.0)", "timescale-vector (>=0.0.1,<0.0.2)", "tqdm (>=4.48.0)", "tree-sitter (>=0.20.2,<0.21.0)", "tree-sitter-languages (>=1.8.0,<2.0.0)", "upstash-redis (>=0.15.0,<0.16.0)", "vdms (>=0.0.20,<0.0.21)", "xata (>=1.0.0a7,<2.0.0)", "xmltodict (>=0.13.0,<0.14.0)"]
[[package]]
name = "langchain-core"
-version = "0.2.1"
+version = "0.2.4"
description = "Building applications with LLMs through composability"
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
- {file = "langchain_core-0.2.1-py3-none-any.whl", hash = "sha256:3521e1e573988c47399fca9739270c5d34f8ecec147253ad829eb9ff288f76d5"},
- {file = "langchain_core-0.2.1.tar.gz", hash = "sha256:49383126168d934559a543ce812c485048d9e6ac9b6798fbf3d4a72b6bba5b0c"},
+ {file = "langchain_core-0.2.4-py3-none-any.whl", hash = "sha256:5212f7ec78a525e88a178ed3aefe2fd7134b03fb92573dfbab9914f1d92d6ec5"},
+ {file = "langchain_core-0.2.4.tar.gz", hash = "sha256:82bdcc546eb0341cefcf1f4ecb3e49836fff003903afddda2d1312bb8491ef81"},
]
[package.dependencies]
jsonpatch = ">=1.33,<2.0"
-langsmith = ">=0.1.0,<0.2.0"
+langsmith = ">=0.1.66,<0.2.0"
packaging = ">=23.2,<24.0"
pydantic = ">=1,<3"
PyYAML = ">=5.3"
@@ -1246,13 +1246,13 @@ extended-testing = ["jinja2 (>=3,<4)"]
[[package]]
name = "langchain-experimental"
-version = "0.0.59"
+version = "0.0.60"
description = "Building applications with LLMs through composability"
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
- {file = "langchain_experimental-0.0.59-py3-none-any.whl", hash = "sha256:d6ceb586c15ad35fc619542e86d01f0984a94985324a78a9ed8cd87615ff265d"},
- {file = "langchain_experimental-0.0.59.tar.gz", hash = "sha256:3a93f5c328f6ee1cd4f9dd8792c535df2d5638cff0d778ee25546804b5282fda"},
+ {file = "langchain_experimental-0.0.60-py3-none-any.whl", hash = "sha256:ef3b6b6b84fe2bfe19eba6d1a98005e27d96576514c6415f5afe4ace5bf477d8"},
+ {file = "langchain_experimental-0.0.60.tar.gz", hash = "sha256:a16cbcd18cda6b86be8f41fed7963c13569295def0d8b4c6324b806d878d442c"},
]
[package.dependencies]
@@ -1264,13 +1264,13 @@ extended-testing = ["faker (>=19.3.1,<20.0.0)", "jinja2 (>=3,<4)", "pandas (>=2.
[[package]]
name = "langchain-text-splitters"
-version = "0.2.0"
+version = "0.2.1"
description = "LangChain text splitting utilities"
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
- {file = "langchain_text_splitters-0.2.0-py3-none-any.whl", hash = "sha256:7b4c6a45f8471630a882b321e138329b6897102a5bc62f4c12be1c0b05bb9199"},
- {file = "langchain_text_splitters-0.2.0.tar.gz", hash = "sha256:b32ab4f7397f7d42c1fa3283fefc2547ba356bd63a68ee9092865e5ad83c82f9"},
+ {file = "langchain_text_splitters-0.2.1-py3-none-any.whl", hash = "sha256:c2774a85f17189eaca50339629d2316d13130d4a8d9f1a1a96f3a03670c4a138"},
+ {file = "langchain_text_splitters-0.2.1.tar.gz", hash = "sha256:06853d17d7241ecf5c97c7b6ef01f600f9b0fb953dd997838142a527a4f32ea4"},
]
[package.dependencies]
@@ -1281,13 +1281,13 @@ extended-testing = ["beautifulsoup4 (>=4.12.3,<5.0.0)", "lxml (>=4.9.3,<6.0)"]
[[package]]
name = "langchainhub"
-version = "0.1.16"
+version = "0.1.17"
description = "The LangChain Hub API client"
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
- {file = "langchainhub-0.1.16-py3-none-any.whl", hash = "sha256:a4379a1879cc6b441b8d02cc65e28a54f160fba61c9d1d4b0eddc3a276dff99a"},
- {file = "langchainhub-0.1.16.tar.gz", hash = "sha256:9f11e68fddb575e70ef4b28800eedbd9eeb180ba508def04f7153ea5b246b6fc"},
+ {file = "langchainhub-0.1.17-py3-none-any.whl", hash = "sha256:4c609b3948252c71670f0d98f73413b515cfd2f6701a7b40ce959203e6133e04"},
+ {file = "langchainhub-0.1.17.tar.gz", hash = "sha256:af7df0cb1cebc7a6e0864e8632ae48ecad39ed96568f699c78657b9d04e50b46"},
]
[package.dependencies]
@@ -1296,13 +1296,13 @@ types-requests = ">=2.31.0.2,<3.0.0.0"
[[package]]
name = "langsmith"
-version = "0.1.63"
+version = "0.1.72"
description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
- {file = "langsmith-0.1.63-py3-none-any.whl", hash = "sha256:7810afdf5e3f3b472fc581a29371fb96cd843dde2149e048d1b9610325159d1e"},
- {file = "langsmith-0.1.63.tar.gz", hash = "sha256:a609405b52f6f54df442a142cbf19ab38662d54e532f96028b4c546434d4afdf"},
+ {file = "langsmith-0.1.72-py3-none-any.whl", hash = "sha256:a4456707669521bd75b7431b9205a6b99579fb9ff01bd338f52d29df11a7662d"},
+ {file = "langsmith-0.1.72.tar.gz", hash = "sha256:262ae9e8aceaba50f3a0f5b6eb559d6110886f0afc6b0ed5270e7d3d3f1fd8d6"},
]
[package.dependencies]
@@ -2104,18 +2104,18 @@ files = [
[[package]]
name = "pydantic"
-version = "2.7.1"
+version = "2.7.3"
description = "Data validation using Python type hints"
optional = false
python-versions = ">=3.8"
files = [
- {file = "pydantic-2.7.1-py3-none-any.whl", hash = "sha256:e029badca45266732a9a79898a15ae2e8b14840b1eabbb25844be28f0b33f3d5"},
- {file = "pydantic-2.7.1.tar.gz", hash = "sha256:e9dbb5eada8abe4d9ae5f46b9939aead650cd2b68f249bb3a8139dbe125803cc"},
+ {file = "pydantic-2.7.3-py3-none-any.whl", hash = "sha256:ea91b002777bf643bb20dd717c028ec43216b24a6001a280f83877fd2655d0b4"},
+ {file = "pydantic-2.7.3.tar.gz", hash = "sha256:c46c76a40bb1296728d7a8b99aa73dd70a48c3510111ff290034f860c99c419e"},
]
[package.dependencies]
annotated-types = ">=0.4.0"
-pydantic-core = "2.18.2"
+pydantic-core = "2.18.4"
typing-extensions = ">=4.6.1"
[package.extras]
@@ -2123,90 +2123,90 @@ email = ["email-validator (>=2.0.0)"]
[[package]]
name = "pydantic-core"
-version = "2.18.2"
+version = "2.18.4"
description = "Core functionality for Pydantic validation and serialization"
optional = false
python-versions = ">=3.8"
files = [
- {file = "pydantic_core-2.18.2-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:9e08e867b306f525802df7cd16c44ff5ebbe747ff0ca6cf3fde7f36c05a59a81"},
- {file = "pydantic_core-2.18.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f0a21cbaa69900cbe1a2e7cad2aa74ac3cf21b10c3efb0fa0b80305274c0e8a2"},
- {file = "pydantic_core-2.18.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0680b1f1f11fda801397de52c36ce38ef1c1dc841a0927a94f226dea29c3ae3d"},
- {file = "pydantic_core-2.18.2-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:95b9d5e72481d3780ba3442eac863eae92ae43a5f3adb5b4d0a1de89d42bb250"},
- {file = "pydantic_core-2.18.2-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:c4fcf5cd9c4b655ad666ca332b9a081112cd7a58a8b5a6ca7a3104bc950f2038"},
- {file = "pydantic_core-2.18.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9b5155ff768083cb1d62f3e143b49a8a3432e6789a3abee8acd005c3c7af1c74"},
- {file = "pydantic_core-2.18.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:553ef617b6836fc7e4df130bb851e32fe357ce36336d897fd6646d6058d980af"},
- {file = "pydantic_core-2.18.2-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:b89ed9eb7d616ef5714e5590e6cf7f23b02d0d539767d33561e3675d6f9e3857"},
- {file = "pydantic_core-2.18.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:75f7e9488238e920ab6204399ded280dc4c307d034f3924cd7f90a38b1829563"},
- {file = "pydantic_core-2.18.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:ef26c9e94a8c04a1b2924149a9cb081836913818e55681722d7f29af88fe7b38"},
- {file = "pydantic_core-2.18.2-cp310-none-win32.whl", hash = "sha256:182245ff6b0039e82b6bb585ed55a64d7c81c560715d1bad0cbad6dfa07b4027"},
- {file = "pydantic_core-2.18.2-cp310-none-win_amd64.whl", hash = "sha256:e23ec367a948b6d812301afc1b13f8094ab7b2c280af66ef450efc357d2ae543"},
- {file = "pydantic_core-2.18.2-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:219da3f096d50a157f33645a1cf31c0ad1fe829a92181dd1311022f986e5fbe3"},
- {file = "pydantic_core-2.18.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:cc1cfd88a64e012b74e94cd00bbe0f9c6df57049c97f02bb07d39e9c852e19a4"},
- {file = "pydantic_core-2.18.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:05b7133a6e6aeb8df37d6f413f7705a37ab4031597f64ab56384c94d98fa0e90"},
- {file = "pydantic_core-2.18.2-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:224c421235f6102e8737032483f43c1a8cfb1d2f45740c44166219599358c2cd"},
- {file = "pydantic_core-2.18.2-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b14d82cdb934e99dda6d9d60dc84a24379820176cc4a0d123f88df319ae9c150"},
- {file = "pydantic_core-2.18.2-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2728b01246a3bba6de144f9e3115b532ee44bd6cf39795194fb75491824a1413"},
- {file = "pydantic_core-2.18.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:470b94480bb5ee929f5acba6995251ada5e059a5ef3e0dfc63cca287283ebfa6"},
- {file = "pydantic_core-2.18.2-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:997abc4df705d1295a42f95b4eec4950a37ad8ae46d913caeee117b6b198811c"},
- {file = "pydantic_core-2.18.2-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:75250dbc5290e3f1a0f4618db35e51a165186f9034eff158f3d490b3fed9f8a0"},
- {file = "pydantic_core-2.18.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:4456f2dca97c425231d7315737d45239b2b51a50dc2b6f0c2bb181fce6207664"},
- {file = "pydantic_core-2.18.2-cp311-none-win32.whl", hash = "sha256:269322dcc3d8bdb69f054681edff86276b2ff972447863cf34c8b860f5188e2e"},
- {file = "pydantic_core-2.18.2-cp311-none-win_amd64.whl", hash = "sha256:800d60565aec896f25bc3cfa56d2277d52d5182af08162f7954f938c06dc4ee3"},
- {file = "pydantic_core-2.18.2-cp311-none-win_arm64.whl", hash = "sha256:1404c69d6a676245199767ba4f633cce5f4ad4181f9d0ccb0577e1f66cf4c46d"},
- {file = "pydantic_core-2.18.2-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:fb2bd7be70c0fe4dfd32c951bc813d9fe6ebcbfdd15a07527796c8204bd36242"},
- {file = "pydantic_core-2.18.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:6132dd3bd52838acddca05a72aafb6eab6536aa145e923bb50f45e78b7251043"},
- {file = "pydantic_core-2.18.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d7d904828195733c183d20a54230c0df0eb46ec746ea1a666730787353e87182"},
- {file = "pydantic_core-2.18.2-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:c9bd70772c720142be1020eac55f8143a34ec9f82d75a8e7a07852023e46617f"},
- {file = "pydantic_core-2.18.2-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:2b8ed04b3582771764538f7ee7001b02e1170223cf9b75dff0bc698fadb00cf3"},
- {file = "pydantic_core-2.18.2-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e6dac87ddb34aaec85f873d737e9d06a3555a1cc1a8e0c44b7f8d5daeb89d86f"},
- {file = "pydantic_core-2.18.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7ca4ae5a27ad7a4ee5170aebce1574b375de390bc01284f87b18d43a3984df72"},
- {file = "pydantic_core-2.18.2-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:886eec03591b7cf058467a70a87733b35f44707bd86cf64a615584fd72488b7c"},
- {file = "pydantic_core-2.18.2-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:ca7b0c1f1c983e064caa85f3792dd2fe3526b3505378874afa84baf662e12241"},
- {file = "pydantic_core-2.18.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:4b4356d3538c3649337df4074e81b85f0616b79731fe22dd11b99499b2ebbdf3"},
- {file = "pydantic_core-2.18.2-cp312-none-win32.whl", hash = "sha256:8b172601454f2d7701121bbec3425dd71efcb787a027edf49724c9cefc14c038"},
- {file = "pydantic_core-2.18.2-cp312-none-win_amd64.whl", hash = "sha256:b1bd7e47b1558ea872bd16c8502c414f9e90dcf12f1395129d7bb42a09a95438"},
- {file = "pydantic_core-2.18.2-cp312-none-win_arm64.whl", hash = "sha256:98758d627ff397e752bc339272c14c98199c613f922d4a384ddc07526c86a2ec"},
- {file = "pydantic_core-2.18.2-cp38-cp38-macosx_10_12_x86_64.whl", hash = "sha256:9fdad8e35f278b2c3eb77cbdc5c0a49dada440657bf738d6905ce106dc1de439"},
- {file = "pydantic_core-2.18.2-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:1d90c3265ae107f91a4f279f4d6f6f1d4907ac76c6868b27dc7fb33688cfb347"},
- {file = "pydantic_core-2.18.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:390193c770399861d8df9670fb0d1874f330c79caaca4642332df7c682bf6b91"},
- {file = "pydantic_core-2.18.2-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:82d5d4d78e4448683cb467897fe24e2b74bb7b973a541ea1dcfec1d3cbce39fb"},
- {file = "pydantic_core-2.18.2-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:4774f3184d2ef3e14e8693194f661dea5a4d6ca4e3dc8e39786d33a94865cefd"},
- {file = "pydantic_core-2.18.2-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d4d938ec0adf5167cb335acb25a4ee69a8107e4984f8fbd2e897021d9e4ca21b"},
- {file = "pydantic_core-2.18.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e0e8b1be28239fc64a88a8189d1df7fad8be8c1ae47fcc33e43d4be15f99cc70"},
- {file = "pydantic_core-2.18.2-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:868649da93e5a3d5eacc2b5b3b9235c98ccdbfd443832f31e075f54419e1b96b"},
- {file = "pydantic_core-2.18.2-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:78363590ef93d5d226ba21a90a03ea89a20738ee5b7da83d771d283fd8a56761"},
- {file = "pydantic_core-2.18.2-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:852e966fbd035a6468fc0a3496589b45e2208ec7ca95c26470a54daed82a0788"},
- {file = "pydantic_core-2.18.2-cp38-none-win32.whl", hash = "sha256:6a46e22a707e7ad4484ac9ee9f290f9d501df45954184e23fc29408dfad61350"},
- {file = "pydantic_core-2.18.2-cp38-none-win_amd64.whl", hash = "sha256:d91cb5ea8b11607cc757675051f61b3d93f15eca3cefb3e6c704a5d6e8440f4e"},
- {file = "pydantic_core-2.18.2-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:ae0a8a797a5e56c053610fa7be147993fe50960fa43609ff2a9552b0e07013e8"},
- {file = "pydantic_core-2.18.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:042473b6280246b1dbf530559246f6842b56119c2926d1e52b631bdc46075f2a"},
- {file = "pydantic_core-2.18.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1a388a77e629b9ec814c1b1e6b3b595fe521d2cdc625fcca26fbc2d44c816804"},
- {file = "pydantic_core-2.18.2-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:e25add29b8f3b233ae90ccef2d902d0ae0432eb0d45370fe315d1a5cf231004b"},
- {file = "pydantic_core-2.18.2-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f459a5ce8434614dfd39bbebf1041952ae01da6bed9855008cb33b875cb024c0"},
- {file = "pydantic_core-2.18.2-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:eff2de745698eb46eeb51193a9f41d67d834d50e424aef27df2fcdee1b153845"},
- {file = "pydantic_core-2.18.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a8309f67285bdfe65c372ea3722b7a5642680f3dba538566340a9d36e920b5f0"},
- {file = "pydantic_core-2.18.2-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:f93a8a2e3938ff656a7c1bc57193b1319960ac015b6e87d76c76bf14fe0244b4"},
- {file = "pydantic_core-2.18.2-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:22057013c8c1e272eb8d0eebc796701167d8377441ec894a8fed1af64a0bf399"},
- {file = "pydantic_core-2.18.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:cfeecd1ac6cc1fb2692c3d5110781c965aabd4ec5d32799773ca7b1456ac636b"},
- {file = "pydantic_core-2.18.2-cp39-none-win32.whl", hash = "sha256:0d69b4c2f6bb3e130dba60d34c0845ba31b69babdd3f78f7c0c8fae5021a253e"},
- {file = "pydantic_core-2.18.2-cp39-none-win_amd64.whl", hash = "sha256:d9319e499827271b09b4e411905b24a426b8fb69464dfa1696258f53a3334641"},
- {file = "pydantic_core-2.18.2-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:a1874c6dd4113308bd0eb568418e6114b252afe44319ead2b4081e9b9521fe75"},
- {file = "pydantic_core-2.18.2-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:ccdd111c03bfd3666bd2472b674c6899550e09e9f298954cfc896ab92b5b0e6d"},
- {file = "pydantic_core-2.18.2-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e18609ceaa6eed63753037fc06ebb16041d17d28199ae5aba0052c51449650a9"},
- {file = "pydantic_core-2.18.2-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6e5c584d357c4e2baf0ff7baf44f4994be121e16a2c88918a5817331fc7599d7"},
- {file = "pydantic_core-2.18.2-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:43f0f463cf89ace478de71a318b1b4f05ebc456a9b9300d027b4b57c1a2064fb"},
- {file = "pydantic_core-2.18.2-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:e1b395e58b10b73b07b7cf740d728dd4ff9365ac46c18751bf8b3d8cca8f625a"},
- {file = "pydantic_core-2.18.2-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:0098300eebb1c837271d3d1a2cd2911e7c11b396eac9661655ee524a7f10587b"},
- {file = "pydantic_core-2.18.2-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:36789b70d613fbac0a25bb07ab3d9dba4d2e38af609c020cf4d888d165ee0bf3"},
- {file = "pydantic_core-2.18.2-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:3f9a801e7c8f1ef8718da265bba008fa121243dfe37c1cea17840b0944dfd72c"},
- {file = "pydantic_core-2.18.2-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:3a6515ebc6e69d85502b4951d89131ca4e036078ea35533bb76327f8424531ce"},
- {file = "pydantic_core-2.18.2-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:20aca1e2298c56ececfd8ed159ae4dde2df0781988c97ef77d5c16ff4bd5b400"},
- {file = "pydantic_core-2.18.2-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:223ee893d77a310a0391dca6df00f70bbc2f36a71a895cecd9a0e762dc37b349"},
- {file = "pydantic_core-2.18.2-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:2334ce8c673ee93a1d6a65bd90327588387ba073c17e61bf19b4fd97d688d63c"},
- {file = "pydantic_core-2.18.2-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:cbca948f2d14b09d20268cda7b0367723d79063f26c4ffc523af9042cad95592"},
- {file = "pydantic_core-2.18.2-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:b3ef08e20ec49e02d5c6717a91bb5af9b20f1805583cb0adfe9ba2c6b505b5ae"},
- {file = "pydantic_core-2.18.2-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:c6fdc8627910eed0c01aed6a390a252fe3ea6d472ee70fdde56273f198938374"},
- {file = "pydantic_core-2.18.2.tar.gz", hash = "sha256:2e29d20810dfc3043ee13ac7d9e25105799817683348823f305ab3f349b9386e"},
+ {file = "pydantic_core-2.18.4-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:f76d0ad001edd426b92233d45c746fd08f467d56100fd8f30e9ace4b005266e4"},
+ {file = "pydantic_core-2.18.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:59ff3e89f4eaf14050c8022011862df275b552caef8082e37b542b066ce1ff26"},
+ {file = "pydantic_core-2.18.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a55b5b16c839df1070bc113c1f7f94a0af4433fcfa1b41799ce7606e5c79ce0a"},
+ {file = "pydantic_core-2.18.4-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:4d0dcc59664fcb8974b356fe0a18a672d6d7cf9f54746c05f43275fc48636851"},
+ {file = "pydantic_core-2.18.4-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8951eee36c57cd128f779e641e21eb40bc5073eb28b2d23f33eb0ef14ffb3f5d"},
+ {file = "pydantic_core-2.18.4-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:4701b19f7e3a06ea655513f7938de6f108123bf7c86bbebb1196eb9bd35cf724"},
+ {file = "pydantic_core-2.18.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e00a3f196329e08e43d99b79b286d60ce46bed10f2280d25a1718399457e06be"},
+ {file = "pydantic_core-2.18.4-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:97736815b9cc893b2b7f663628e63f436018b75f44854c8027040e05230eeddb"},
+ {file = "pydantic_core-2.18.4-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:6891a2ae0e8692679c07728819b6e2b822fb30ca7445f67bbf6509b25a96332c"},
+ {file = "pydantic_core-2.18.4-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:bc4ff9805858bd54d1a20efff925ccd89c9d2e7cf4986144b30802bf78091c3e"},
+ {file = "pydantic_core-2.18.4-cp310-none-win32.whl", hash = "sha256:1b4de2e51bbcb61fdebd0ab86ef28062704f62c82bbf4addc4e37fa4b00b7cbc"},
+ {file = "pydantic_core-2.18.4-cp310-none-win_amd64.whl", hash = "sha256:6a750aec7bf431517a9fd78cb93c97b9b0c496090fee84a47a0d23668976b4b0"},
+ {file = "pydantic_core-2.18.4-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:942ba11e7dfb66dc70f9ae66b33452f51ac7bb90676da39a7345e99ffb55402d"},
+ {file = "pydantic_core-2.18.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:b2ebef0e0b4454320274f5e83a41844c63438fdc874ea40a8b5b4ecb7693f1c4"},
+ {file = "pydantic_core-2.18.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a642295cd0c8df1b86fc3dced1d067874c353a188dc8e0f744626d49e9aa51c4"},
+ {file = "pydantic_core-2.18.4-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:5f09baa656c904807e832cf9cce799c6460c450c4ad80803517032da0cd062e2"},
+ {file = "pydantic_core-2.18.4-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:98906207f29bc2c459ff64fa007afd10a8c8ac080f7e4d5beff4c97086a3dabd"},
+ {file = "pydantic_core-2.18.4-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:19894b95aacfa98e7cb093cd7881a0c76f55731efad31073db4521e2b6ff5b7d"},
+ {file = "pydantic_core-2.18.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0fbbdc827fe5e42e4d196c746b890b3d72876bdbf160b0eafe9f0334525119c8"},
+ {file = "pydantic_core-2.18.4-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:f85d05aa0918283cf29a30b547b4df2fbb56b45b135f9e35b6807cb28bc47951"},
+ {file = "pydantic_core-2.18.4-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:e85637bc8fe81ddb73fda9e56bab24560bdddfa98aa64f87aaa4e4b6730c23d2"},
+ {file = "pydantic_core-2.18.4-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:2f5966897e5461f818e136b8451d0551a2e77259eb0f73a837027b47dc95dab9"},
+ {file = "pydantic_core-2.18.4-cp311-none-win32.whl", hash = "sha256:44c7486a4228413c317952e9d89598bcdfb06399735e49e0f8df643e1ccd0558"},
+ {file = "pydantic_core-2.18.4-cp311-none-win_amd64.whl", hash = "sha256:8a7164fe2005d03c64fd3b85649891cd4953a8de53107940bf272500ba8a788b"},
+ {file = "pydantic_core-2.18.4-cp311-none-win_arm64.whl", hash = "sha256:4e99bc050fe65c450344421017f98298a97cefc18c53bb2f7b3531eb39bc7805"},
+ {file = "pydantic_core-2.18.4-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:6f5c4d41b2771c730ea1c34e458e781b18cc668d194958e0112455fff4e402b2"},
+ {file = "pydantic_core-2.18.4-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:2fdf2156aa3d017fddf8aea5adfba9f777db1d6022d392b682d2a8329e087cef"},
+ {file = "pydantic_core-2.18.4-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4748321b5078216070b151d5271ef3e7cc905ab170bbfd27d5c83ee3ec436695"},
+ {file = "pydantic_core-2.18.4-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:847a35c4d58721c5dc3dba599878ebbdfd96784f3fb8bb2c356e123bdcd73f34"},
+ {file = "pydantic_core-2.18.4-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3c40d4eaad41f78e3bbda31b89edc46a3f3dc6e171bf0ecf097ff7a0ffff7cb1"},
+ {file = "pydantic_core-2.18.4-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:21a5e440dbe315ab9825fcd459b8814bb92b27c974cbc23c3e8baa2b76890077"},
+ {file = "pydantic_core-2.18.4-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:01dd777215e2aa86dfd664daed5957704b769e726626393438f9c87690ce78c3"},
+ {file = "pydantic_core-2.18.4-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:4b06beb3b3f1479d32befd1f3079cc47b34fa2da62457cdf6c963393340b56e9"},
+ {file = "pydantic_core-2.18.4-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:564d7922e4b13a16b98772441879fcdcbe82ff50daa622d681dd682175ea918c"},
+ {file = "pydantic_core-2.18.4-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:0eb2a4f660fcd8e2b1c90ad566db2b98d7f3f4717c64fe0a83e0adb39766d5b8"},
+ {file = "pydantic_core-2.18.4-cp312-none-win32.whl", hash = "sha256:8b8bab4c97248095ae0c4455b5a1cd1cdd96e4e4769306ab19dda135ea4cdb07"},
+ {file = "pydantic_core-2.18.4-cp312-none-win_amd64.whl", hash = "sha256:14601cdb733d741b8958224030e2bfe21a4a881fb3dd6fbb21f071cabd48fa0a"},
+ {file = "pydantic_core-2.18.4-cp312-none-win_arm64.whl", hash = "sha256:c1322d7dd74713dcc157a2b7898a564ab091ca6c58302d5c7b4c07296e3fd00f"},
+ {file = "pydantic_core-2.18.4-cp38-cp38-macosx_10_12_x86_64.whl", hash = "sha256:823be1deb01793da05ecb0484d6c9e20baebb39bd42b5d72636ae9cf8350dbd2"},
+ {file = "pydantic_core-2.18.4-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:ebef0dd9bf9b812bf75bda96743f2a6c5734a02092ae7f721c048d156d5fabae"},
+ {file = "pydantic_core-2.18.4-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ae1d6df168efb88d7d522664693607b80b4080be6750c913eefb77e34c12c71a"},
+ {file = "pydantic_core-2.18.4-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:f9899c94762343f2cc2fc64c13e7cae4c3cc65cdfc87dd810a31654c9b7358cc"},
+ {file = "pydantic_core-2.18.4-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:99457f184ad90235cfe8461c4d70ab7dd2680e28821c29eca00252ba90308c78"},
+ {file = "pydantic_core-2.18.4-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:18f469a3d2a2fdafe99296a87e8a4c37748b5080a26b806a707f25a902c040a8"},
+ {file = "pydantic_core-2.18.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b7cdf28938ac6b8b49ae5e92f2735056a7ba99c9b110a474473fd71185c1af5d"},
+ {file = "pydantic_core-2.18.4-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:938cb21650855054dc54dfd9120a851c974f95450f00683399006aa6e8abb057"},
+ {file = "pydantic_core-2.18.4-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:44cd83ab6a51da80fb5adbd9560e26018e2ac7826f9626bc06ca3dc074cd198b"},
+ {file = "pydantic_core-2.18.4-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:972658f4a72d02b8abfa2581d92d59f59897d2e9f7e708fdabe922f9087773af"},
+ {file = "pydantic_core-2.18.4-cp38-none-win32.whl", hash = "sha256:1d886dc848e60cb7666f771e406acae54ab279b9f1e4143babc9c2258213daa2"},
+ {file = "pydantic_core-2.18.4-cp38-none-win_amd64.whl", hash = "sha256:bb4462bd43c2460774914b8525f79b00f8f407c945d50881568f294c1d9b4443"},
+ {file = "pydantic_core-2.18.4-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:44a688331d4a4e2129140a8118479443bd6f1905231138971372fcde37e43528"},
+ {file = "pydantic_core-2.18.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:a2fdd81edd64342c85ac7cf2753ccae0b79bf2dfa063785503cb85a7d3593223"},
+ {file = "pydantic_core-2.18.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:86110d7e1907ab36691f80b33eb2da87d780f4739ae773e5fc83fb272f88825f"},
+ {file = "pydantic_core-2.18.4-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:46387e38bd641b3ee5ce247563b60c5ca098da9c56c75c157a05eaa0933ed154"},
+ {file = "pydantic_core-2.18.4-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:123c3cec203e3f5ac7b000bd82235f1a3eced8665b63d18be751f115588fea30"},
+ {file = "pydantic_core-2.18.4-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:dc1803ac5c32ec324c5261c7209e8f8ce88e83254c4e1aebdc8b0a39f9ddb443"},
+ {file = "pydantic_core-2.18.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:53db086f9f6ab2b4061958d9c276d1dbe3690e8dd727d6abf2321d6cce37fa94"},
+ {file = "pydantic_core-2.18.4-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:abc267fa9837245cc28ea6929f19fa335f3dc330a35d2e45509b6566dc18be23"},
+ {file = "pydantic_core-2.18.4-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:a0d829524aaefdebccb869eed855e2d04c21d2d7479b6cada7ace5448416597b"},
+ {file = "pydantic_core-2.18.4-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:509daade3b8649f80d4e5ff21aa5673e4ebe58590b25fe42fac5f0f52c6f034a"},
+ {file = "pydantic_core-2.18.4-cp39-none-win32.whl", hash = "sha256:ca26a1e73c48cfc54c4a76ff78df3727b9d9f4ccc8dbee4ae3f73306a591676d"},
+ {file = "pydantic_core-2.18.4-cp39-none-win_amd64.whl", hash = "sha256:c67598100338d5d985db1b3d21f3619ef392e185e71b8d52bceacc4a7771ea7e"},
+ {file = "pydantic_core-2.18.4-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:574d92eac874f7f4db0ca653514d823a0d22e2354359d0759e3f6a406db5d55d"},
+ {file = "pydantic_core-2.18.4-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:1f4d26ceb5eb9eed4af91bebeae4b06c3fb28966ca3a8fb765208cf6b51102ab"},
+ {file = "pydantic_core-2.18.4-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:77450e6d20016ec41f43ca4a6c63e9fdde03f0ae3fe90e7c27bdbeaece8b1ed4"},
+ {file = "pydantic_core-2.18.4-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d323a01da91851a4f17bf592faf46149c9169d68430b3146dcba2bb5e5719abc"},
+ {file = "pydantic_core-2.18.4-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:43d447dd2ae072a0065389092a231283f62d960030ecd27565672bd40746c507"},
+ {file = "pydantic_core-2.18.4-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:578e24f761f3b425834f297b9935e1ce2e30f51400964ce4801002435a1b41ef"},
+ {file = "pydantic_core-2.18.4-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:81b5efb2f126454586d0f40c4d834010979cb80785173d1586df845a632e4e6d"},
+ {file = "pydantic_core-2.18.4-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:ab86ce7c8f9bea87b9d12c7f0af71102acbf5ecbc66c17796cff45dae54ef9a5"},
+ {file = "pydantic_core-2.18.4-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:90afc12421df2b1b4dcc975f814e21bc1754640d502a2fbcc6d41e77af5ec312"},
+ {file = "pydantic_core-2.18.4-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:51991a89639a912c17bef4b45c87bd83593aee0437d8102556af4885811d59f5"},
+ {file = "pydantic_core-2.18.4-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:293afe532740370aba8c060882f7d26cfd00c94cae32fd2e212a3a6e3b7bc15e"},
+ {file = "pydantic_core-2.18.4-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b48ece5bde2e768197a2d0f6e925f9d7e3e826f0ad2271120f8144a9db18d5c8"},
+ {file = "pydantic_core-2.18.4-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:eae237477a873ab46e8dd748e515c72c0c804fb380fbe6c85533c7de51f23a8f"},
+ {file = "pydantic_core-2.18.4-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:834b5230b5dfc0c1ec37b2fda433b271cbbc0e507560b5d1588e2cc1148cf1ce"},
+ {file = "pydantic_core-2.18.4-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:e858ac0a25074ba4bce653f9b5d0a85b7456eaddadc0ce82d3878c22489fa4ee"},
+ {file = "pydantic_core-2.18.4-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:2fd41f6eff4c20778d717af1cc50eca52f5afe7805ee530a4fbd0bae284f16e9"},
+ {file = "pydantic_core-2.18.4.tar.gz", hash = "sha256:ec3beeada09ff865c344ff3bc2f427f5e6c26401cc6113d77e372c3fdac73864"},
]
[package.dependencies]
@@ -2214,17 +2214,17 @@ typing-extensions = ">=4.6.0,<4.7.0 || >4.7.0"
[[package]]
name = "pydantic-settings"
-version = "2.2.1"
+version = "2.3.1"
description = "Settings management using Pydantic"
optional = false
python-versions = ">=3.8"
files = [
- {file = "pydantic_settings-2.2.1-py3-none-any.whl", hash = "sha256:0235391d26db4d2190cb9b31051c4b46882d28a51533f97440867f012d4da091"},
- {file = "pydantic_settings-2.2.1.tar.gz", hash = "sha256:00b9f6a5e95553590434c0fa01ead0b216c3e10bc54ae02e37f359948643c5ed"},
+ {file = "pydantic_settings-2.3.1-py3-none-any.whl", hash = "sha256:acb2c213140dfff9669f4fe9f8180d43914f51626db28ab2db7308a576cce51a"},
+ {file = "pydantic_settings-2.3.1.tar.gz", hash = "sha256:e34bbd649803a6bb3e2f0f58fb0edff1f0c7f556849fda106cc21bcce12c30ab"},
]
[package.dependencies]
-pydantic = ">=2.3.0"
+pydantic = ">=2.7.0"
python-dotenv = ">=0.21.0"
[package.extras]
@@ -2466,13 +2466,13 @@ files = [
[[package]]
name = "requests"
-version = "2.32.2"
+version = "2.32.3"
description = "Python HTTP for Humans."
optional = false
python-versions = ">=3.8"
files = [
- {file = "requests-2.32.2-py3-none-any.whl", hash = "sha256:fc06670dd0ed212426dfeb94fc1b983d917c4f9847c863f313c9dfaaffb7c23c"},
- {file = "requests-2.32.2.tar.gz", hash = "sha256:dd951ff5ecf3e3b3aa26b40703ba77495dab41da839ae72ef3c8e5d8e2433289"},
+ {file = "requests-2.32.3-py3-none-any.whl", hash = "sha256:70761cfe03c773ceb22aa2f671b4757976145175cdfca038c02654d061d6dcc6"},
+ {file = "requests-2.32.3.tar.gz", hash = "sha256:55365417734eb18255590a9ff9eb97e9e1da868d4ccd6402399eaf68af20a760"},
]
[package.dependencies]
@@ -2720,13 +2720,13 @@ typing-extensions = ">=3.7.4.3"
[[package]]
name = "types-requests"
-version = "2.32.0.20240523"
+version = "2.32.0.20240602"
description = "Typing stubs for requests"
optional = false
python-versions = ">=3.8"
files = [
- {file = "types-requests-2.32.0.20240523.tar.gz", hash = "sha256:26b8a6de32d9f561192b9942b41c0ab2d8010df5677ca8aa146289d11d505f57"},
- {file = "types_requests-2.32.0.20240523-py3-none-any.whl", hash = "sha256:f19ed0e2daa74302069bbbbf9e82902854ffa780bc790742a810a9aaa52f65ec"},
+ {file = "types-requests-2.32.0.20240602.tar.gz", hash = "sha256:3f98d7bbd0dd94ebd10ff43a7fbe20c3b8528acace6d8efafef0b6a184793f06"},
+ {file = "types_requests-2.32.0.20240602-py3-none-any.whl", hash = "sha256:ed3946063ea9fbc6b5fc0c44fa279188bae42d582cb63760be6cb4b9d06c3de8"},
]
[package.dependencies]
@@ -2734,13 +2734,13 @@ urllib3 = ">=2"
[[package]]
name = "typing-extensions"
-version = "4.12.0"
+version = "4.12.1"
description = "Backported and Experimental Type Hints for Python 3.8+"
optional = false
python-versions = ">=3.8"
files = [
- {file = "typing_extensions-4.12.0-py3-none-any.whl", hash = "sha256:b349c66bea9016ac22978d800cfff206d5f9816951f12a7d0ec5578b0a819594"},
- {file = "typing_extensions-4.12.0.tar.gz", hash = "sha256:8cbcdc8606ebcb0d95453ad7dc5065e6237b6aa230a31e81d0f440c30fed5fd8"},
+ {file = "typing_extensions-4.12.1-py3-none-any.whl", hash = "sha256:6024b58b69089e5a89c347397254e35f1bf02a907728ec7fee9bf0fe837d203a"},
+ {file = "typing_extensions-4.12.1.tar.gz", hash = "sha256:915f5e35ff76f56588223f15fdd5938f9a1cf9195c0de25130c627e4d597f6d1"},
]
[[package]]
@@ -2856,6 +2856,21 @@ files = [
{file = "ujson-5.10.0.tar.gz", hash = "sha256:b3cd8f3c5d8c7738257f1018880444f7b7d9b66232c64649f562d7ba86ad4bc1"},
]
+[[package]]
+name = "uncurl"
+version = "0.0.11"
+description = "A library to convert curl requests to python-requests."
+optional = false
+python-versions = "*"
+files = [
+ {file = "uncurl-0.0.11-py3-none-any.whl", hash = "sha256:5961e93f07a5c9f2ef8ae4245bd92b0a6ce503c851de980f5b70080ae74cdc59"},
+ {file = "uncurl-0.0.11.tar.gz", hash = "sha256:530c9bbd4d118f4cde6194165ff484cc25b0661cd256f19e9d5fcb53fc077790"},
+]
+
+[package.dependencies]
+pyperclip = "*"
+six = "*"
+
[[package]]
name = "urllib3"
version = "2.2.1"
@@ -2875,13 +2890,13 @@ zstd = ["zstandard (>=0.18.0)"]
[[package]]
name = "uvicorn"
-version = "0.29.0"
+version = "0.30.1"
description = "The lightning-fast ASGI server."
optional = false
python-versions = ">=3.8"
files = [
- {file = "uvicorn-0.29.0-py3-none-any.whl", hash = "sha256:2c2aac7ff4f4365c206fd773a39bf4ebd1047c238f8b8268ad996829323473de"},
- {file = "uvicorn-0.29.0.tar.gz", hash = "sha256:6a69214c0b6a087462412670b3ef21224fa48cae0e452b5883e8e8bdfdd11dd0"},
+ {file = "uvicorn-0.30.1-py3-none-any.whl", hash = "sha256:cd17daa7f3b9d7a24de3617820e634d0933b69eed8e33a516071174427238c81"},
+ {file = "uvicorn-0.30.1.tar.gz", hash = "sha256:d46cd8e0fd80240baffbcd9ec1012a712938754afcf81bce56c024c1656aece8"},
]
[package.dependencies]
@@ -3250,4 +3265,4 @@ local = []
[metadata]
lock-version = "2.0"
python-versions = ">=3.10,<3.13"
-content-hash = "31d8e5ce045ef7d94e63058559b5f8181e6b51fc923c4904f45481443d59235d"
+content-hash = "48a7355a7096e763b75315d0704bed8f4d8134a33553e62bc305a686b9e72803"
diff --git a/src/backend/base/pyproject.toml b/src/backend/base/pyproject.toml
index ce7557464..14a7b87a8 100644
--- a/src/backend/base/pyproject.toml
+++ b/src/backend/base/pyproject.toml
@@ -1,6 +1,6 @@
[tool.poetry]
name = "langflow-base"
-version = "0.0.49"
+version = "0.0.57"
description = "A Python package with a built-in web application"
authors = ["Langflow "]
maintainers = [
@@ -28,7 +28,7 @@ langflow-base = "langflow.__main__:main"
python = ">=3.10,<3.13"
fastapi = "^0.111.0"
httpx = "*"
-uvicorn = "^0.29.0"
+uvicorn = "^0.30.0"
gunicorn = "^22.0.0"
langchain = "~0.2.0"
langchainhub = "~0.1.15"
@@ -62,6 +62,7 @@ emoji = "^2.12.0"
cryptography = "^42.0.5"
asyncer = "^0.0.5"
pyperclip = "^1.8.2"
+uncurl = "^0.0.11"
[tool.poetry.extras]
diff --git a/src/frontend/package-lock.json b/src/frontend/package-lock.json
deleted file mode 100644
index 34cbe9e57..000000000
--- a/src/frontend/package-lock.json
+++ /dev/null
@@ -1,13924 +0,0 @@
-{
- "name": "langflow",
- "version": "0.1.2",
- "lockfileVersion": 3,
- "requires": true,
- "packages": {
- "": {
- "name": "langflow",
- "version": "0.1.2",
- "dependencies": {
- "@headlessui/react": "^1.7.17",
- "@hookform/resolvers": "^3.3.4",
- "@million/lint": "^0.0.73",
- "@radix-ui/react-accordion": "^1.1.2",
- "@radix-ui/react-checkbox": "^1.0.4",
- "@radix-ui/react-dialog": "^1.0.4",
- "@radix-ui/react-dropdown-menu": "^2.0.5",
- "@radix-ui/react-form": "^0.0.3",
- "@radix-ui/react-icons": "^1.3.0",
- "@radix-ui/react-label": "^2.0.2",
- "@radix-ui/react-menubar": "^1.0.3",
- "@radix-ui/react-popover": "^1.0.6",
- "@radix-ui/react-progress": "^1.0.3",
- "@radix-ui/react-select": "^2.0.0",
- "@radix-ui/react-separator": "^1.0.3",
- "@radix-ui/react-slot": "^1.0.2",
- "@radix-ui/react-switch": "^1.0.3",
- "@radix-ui/react-tabs": "^1.0.4",
- "@radix-ui/react-tooltip": "^1.0.6",
- "@tabler/icons-react": "^2.32.0",
- "@tailwindcss/forms": "^0.5.6",
- "@tailwindcss/line-clamp": "^0.4.4",
- "@types/axios": "^0.14.0",
- "ace-builds": "^1.24.1",
- "ag-grid-community": "^31.2.1",
- "ag-grid-react": "^31.2.1",
- "ansi-to-html": "^0.7.2",
- "axios": "^1.5.0",
- "base64-js": "^1.5.1",
- "class-variance-authority": "^0.6.1",
- "clsx": "^1.2.1",
- "cmdk": "^1.0.0",
- "dompurify": "^3.0.5",
- "dotenv": "^16.4.5",
- "esbuild": "^0.17.19",
- "file-saver": "^2.0.5",
- "framer-motion": "^11.0.6",
- "lodash": "^4.17.21",
- "lucide-react": "^0.331.0",
- "million": "^3.0.6",
- "moment": "^2.29.4",
- "openseadragon": "^4.1.1",
- "playwright": "^1.42.0",
- "react": "^18.2.21",
- "react-ace": "^10.1.0",
- "react-cookie": "^4.1.1",
- "react-dom": "^18.2.21",
- "react-error-boundary": "^4.0.11",
- "react-hook-form": "^7.51.4",
- "react-hotkeys-hook": "^4.5.0",
- "react-icons": "^5.0.1",
- "react-laag": "^2.0.5",
- "react-markdown": "^8.0.7",
- "react-pdf": "^7.7.1",
- "react-router-dom": "^6.15.0",
- "react-syntax-highlighter": "^15.5.0",
- "react18-json-view": "^0.2.3",
- "reactflow": "^11.9.2",
- "rehype-mathjax": "^4.0.3",
- "remark-gfm": "^3.0.1",
- "remark-math": "^5.1.1",
- "shadcn-ui": "^0.2.3",
- "short-unique-id": "^4.4.4",
- "tailwind-merge": "^1.14.0",
- "tailwindcss-animate": "^1.0.7",
- "uuid": "^9.0.0",
- "vite-plugin-svgr": "^3.2.0",
- "web-vitals": "^2.1.4",
- "zod": "^3.23.7",
- "zustand": "^4.4.7"
- },
- "devDependencies": {
- "@playwright/test": "^1.44.0",
- "@swc/cli": "^0.1.62",
- "@swc/core": "^1.3.80",
- "@tailwindcss/typography": "^0.5.9",
- "@testing-library/jest-dom": "^5.17.0",
- "@testing-library/react": "^13.4.0",
- "@testing-library/user-event": "^13.5.0",
- "@types/jest": "^27.5.2",
- "@types/lodash": "^4.14.197",
- "@types/node": "^16.18.46",
- "@types/react": "^18.2.21",
- "@types/react-dom": "^18.2.7",
- "@types/uuid": "^9.0.2",
- "@vitejs/plugin-react-swc": "^3.3.2",
- "autoprefixer": "^10.4.15",
- "daisyui": "^4.0.4",
- "eslint": "^8.57.0",
- "eslint-plugin-node": "^11.1.0",
- "postcss": "^8.4.29",
- "prettier": "^2.8.8",
- "prettier-plugin-organize-imports": "^3.2.3",
- "prettier-plugin-tailwindcss": "^0.3.0",
- "pretty-quick": "^3.1.3",
- "simple-git-hooks": "^2.11.1",
- "tailwindcss": "^3.3.3",
- "tailwindcss-dotted-background": "^1.1.0",
- "typescript": "^5.2.2",
- "ua-parser-js": "^1.0.37",
- "vite": "^4.5.2"
- }
- },
- "node_modules/@adobe/css-tools": {
- "version": "4.3.3",
- "resolved": "https://registry.npmjs.org/@adobe/css-tools/-/css-tools-4.3.3.tgz",
- "integrity": "sha512-rE0Pygv0sEZ4vBWHlAgJLGDU7Pm8xoO6p3wsEceb7GYAjScrOHpEo8KK/eVkAcnSM+slAEtXjA2JpdjLp4fJQQ==",
- "dev": true
- },
- "node_modules/@alloc/quick-lru": {
- "version": "5.2.0",
- "resolved": "https://registry.npmjs.org/@alloc/quick-lru/-/quick-lru-5.2.0.tgz",
- "integrity": "sha512-UrcABB+4bUrFABwbluTIBErXwvbsU/V7TZWfmbgJfbkwiBuziS9gxdODUyuiecfdGQ85jglMW6juS3+z5TsKLw==",
- "engines": {
- "node": ">=10"
- },
- "funding": {
- "url": "https://github.com/sponsors/sindresorhus"
- }
- },
- "node_modules/@ampproject/remapping": {
- "version": "2.3.0",
- "resolved": "https://registry.npmjs.org/@ampproject/remapping/-/remapping-2.3.0.tgz",
- "integrity": "sha512-30iZtAPgz+LTIYoeivqYo853f02jBYSd5uGnGpkFV0M3xOt9aN73erkgYAmZU43x4VfqcnLxW9Kpg3R5LC4YYw==",
- "dependencies": {
- "@jridgewell/gen-mapping": "^0.3.5",
- "@jridgewell/trace-mapping": "^0.3.24"
- },
- "engines": {
- "node": ">=6.0.0"
- }
- },
- "node_modules/@antfu/ni": {
- "version": "0.21.12",
- "resolved": "https://registry.npmjs.org/@antfu/ni/-/ni-0.21.12.tgz",
- "integrity": "sha512-2aDL3WUv8hMJb2L3r/PIQWsTLyq7RQr3v9xD16fiz6O8ys1xEyLhhTOv8gxtZvJiTzjTF5pHoArvRdesGL1DMQ==",
- "bin": {
- "na": "bin/na.mjs",
- "nci": "bin/nci.mjs",
- "ni": "bin/ni.mjs",
- "nlx": "bin/nlx.mjs",
- "nr": "bin/nr.mjs",
- "nu": "bin/nu.mjs",
- "nun": "bin/nun.mjs"
- }
- },
- "node_modules/@axiomhq/js": {
- "version": "1.0.0-rc.3",
- "resolved": "https://registry.npmjs.org/@axiomhq/js/-/js-1.0.0-rc.3.tgz",
- "integrity": "sha512-Zm10TczcMLounWqC42nMkXQ7XKLqjzLrd5ia022oBKDUZqAFVg2y9d1quQVNV4FlXyg9MKDdfMjpKQRmzEGaog==",
- "dependencies": {
- "fetch-retry": "^6.0.0",
- "uuid": "^8.3.2"
- },
- "engines": {
- "node": ">=16"
- }
- },
- "node_modules/@axiomhq/js/node_modules/uuid": {
- "version": "8.3.2",
- "resolved": "https://registry.npmjs.org/uuid/-/uuid-8.3.2.tgz",
- "integrity": "sha512-+NYs2QeMWy+GWFOEm9xnn6HCDp0l7QBD7ml8zLUmJ+93Q5NF0NocErnwkTkXVFNiX3/fpC6afS8Dhb/gz7R7eg==",
- "bin": {
- "uuid": "dist/bin/uuid"
- }
- },
- "node_modules/@babel/code-frame": {
- "version": "7.24.2",
- "resolved": "https://registry.npmjs.org/@babel/code-frame/-/code-frame-7.24.2.tgz",
- "integrity": "sha512-y5+tLQyV8pg3fsiln67BVLD1P13Eg4lh5RW9mF0zUuvLrv9uIQ4MCL+CRT+FTsBlBjcIan6PGsLcBN0m3ClUyQ==",
- "dependencies": {
- "@babel/highlight": "^7.24.2",
- "picocolors": "^1.0.0"
- },
- "engines": {
- "node": ">=6.9.0"
- }
- },
- "node_modules/@babel/compat-data": {
- "version": "7.24.4",
- "resolved": "https://registry.npmjs.org/@babel/compat-data/-/compat-data-7.24.4.tgz",
- "integrity": "sha512-vg8Gih2MLK+kOkHJp4gBEIkyaIi00jgWot2D9QOmmfLC8jINSOzmCLta6Bvz/JSBCqnegV0L80jhxkol5GWNfQ==",
- "engines": {
- "node": ">=6.9.0"
- }
- },
- "node_modules/@babel/core": {
- "version": "7.24.5",
- "resolved": "https://registry.npmjs.org/@babel/core/-/core-7.24.5.tgz",
- "integrity": "sha512-tVQRucExLQ02Boi4vdPp49svNGcfL2GhdTCT9aldhXgCJVAI21EtRfBettiuLUwce/7r6bFdgs6JFkcdTiFttA==",
- "dependencies": {
- "@ampproject/remapping": "^2.2.0",
- "@babel/code-frame": "^7.24.2",
- "@babel/generator": "^7.24.5",
- "@babel/helper-compilation-targets": "^7.23.6",
- "@babel/helper-module-transforms": "^7.24.5",
- "@babel/helpers": "^7.24.5",
- "@babel/parser": "^7.24.5",
- "@babel/template": "^7.24.0",
- "@babel/traverse": "^7.24.5",
- "@babel/types": "^7.24.5",
- "convert-source-map": "^2.0.0",
- "debug": "^4.1.0",
- "gensync": "^1.0.0-beta.2",
- "json5": "^2.2.3",
- "semver": "^6.3.1"
- },
- "engines": {
- "node": ">=6.9.0"
- },
- "funding": {
- "type": "opencollective",
- "url": "https://opencollective.com/babel"
- }
- },
- "node_modules/@babel/generator": {
- "version": "7.24.5",
- "resolved": "https://registry.npmjs.org/@babel/generator/-/generator-7.24.5.tgz",
- "integrity": "sha512-x32i4hEXvr+iI0NEoEfDKzlemF8AmtOP8CcrRaEcpzysWuoEb1KknpcvMsHKPONoKZiDuItklgWhB18xEhr9PA==",
- "dependencies": {
- "@babel/types": "^7.24.5",
- "@jridgewell/gen-mapping": "^0.3.5",
- "@jridgewell/trace-mapping": "^0.3.25",
- "jsesc": "^2.5.1"
- },
- "engines": {
- "node": ">=6.9.0"
- }
- },
- "node_modules/@babel/helper-compilation-targets": {
- "version": "7.23.6",
- "resolved": "https://registry.npmjs.org/@babel/helper-compilation-targets/-/helper-compilation-targets-7.23.6.tgz",
- "integrity": "sha512-9JB548GZoQVmzrFgp8o7KxdgkTGm6xs9DW0o/Pim72UDjzr5ObUQ6ZzYPqA+g9OTS2bBQoctLJrky0RDCAWRgQ==",
- "dependencies": {
- "@babel/compat-data": "^7.23.5",
- "@babel/helper-validator-option": "^7.23.5",
- "browserslist": "^4.22.2",
- "lru-cache": "^5.1.1",
- "semver": "^6.3.1"
- },
- "engines": {
- "node": ">=6.9.0"
- }
- },
- "node_modules/@babel/helper-environment-visitor": {
- "version": "7.22.20",
- "resolved": "https://registry.npmjs.org/@babel/helper-environment-visitor/-/helper-environment-visitor-7.22.20.tgz",
- "integrity": "sha512-zfedSIzFhat/gFhWfHtgWvlec0nqB9YEIVrpuwjruLlXfUSnA8cJB0miHKwqDnQ7d32aKo2xt88/xZptwxbfhA==",
- "engines": {
- "node": ">=6.9.0"
- }
- },
- "node_modules/@babel/helper-function-name": {
- "version": "7.23.0",
- "resolved": "https://registry.npmjs.org/@babel/helper-function-name/-/helper-function-name-7.23.0.tgz",
- "integrity": "sha512-OErEqsrxjZTJciZ4Oo+eoZqeW9UIiOcuYKRJA4ZAgV9myA+pOXhhmpfNCKjEH/auVfEYVFJ6y1Tc4r0eIApqiw==",
- "dependencies": {
- "@babel/template": "^7.22.15",
- "@babel/types": "^7.23.0"
- },
- "engines": {
- "node": ">=6.9.0"
- }
- },
- "node_modules/@babel/helper-hoist-variables": {
- "version": "7.22.5",
- "resolved": "https://registry.npmjs.org/@babel/helper-hoist-variables/-/helper-hoist-variables-7.22.5.tgz",
- "integrity": "sha512-wGjk9QZVzvknA6yKIUURb8zY3grXCcOZt+/7Wcy8O2uctxhplmUPkOdlgoNhmdVee2c92JXbf1xpMtVNbfoxRw==",
- "dependencies": {
- "@babel/types": "^7.22.5"
- },
- "engines": {
- "node": ">=6.9.0"
- }
- },
- "node_modules/@babel/helper-module-imports": {
- "version": "7.24.3",
- "resolved": "https://registry.npmjs.org/@babel/helper-module-imports/-/helper-module-imports-7.24.3.tgz",
- "integrity": "sha512-viKb0F9f2s0BCS22QSF308z/+1YWKV/76mwt61NBzS5izMzDPwdq1pTrzf+Li3npBWX9KdQbkeCt1jSAM7lZqg==",
- "dependencies": {
- "@babel/types": "^7.24.0"
- },
- "engines": {
- "node": ">=6.9.0"
- }
- },
- "node_modules/@babel/helper-module-transforms": {
- "version": "7.24.5",
- "resolved": "https://registry.npmjs.org/@babel/helper-module-transforms/-/helper-module-transforms-7.24.5.tgz",
- "integrity": "sha512-9GxeY8c2d2mdQUP1Dye0ks3VDyIMS98kt/llQ2nUId8IsWqTF0l1LkSX0/uP7l7MCDrzXS009Hyhe2gzTiGW8A==",
- "dependencies": {
- "@babel/helper-environment-visitor": "^7.22.20",
- "@babel/helper-module-imports": "^7.24.3",
- "@babel/helper-simple-access": "^7.24.5",
- "@babel/helper-split-export-declaration": "^7.24.5",
- "@babel/helper-validator-identifier": "^7.24.5"
- },
- "engines": {
- "node": ">=6.9.0"
- },
- "peerDependencies": {
- "@babel/core": "^7.0.0"
- }
- },
- "node_modules/@babel/helper-simple-access": {
- "version": "7.24.5",
- "resolved": "https://registry.npmjs.org/@babel/helper-simple-access/-/helper-simple-access-7.24.5.tgz",
- "integrity": "sha512-uH3Hmf5q5n7n8mz7arjUlDOCbttY/DW4DYhE6FUsjKJ/oYC1kQQUvwEQWxRwUpX9qQKRXeqLwWxrqilMrf32sQ==",
- "dependencies": {
- "@babel/types": "^7.24.5"
- },
- "engines": {
- "node": ">=6.9.0"
- }
- },
- "node_modules/@babel/helper-split-export-declaration": {
- "version": "7.24.5",
- "resolved": "https://registry.npmjs.org/@babel/helper-split-export-declaration/-/helper-split-export-declaration-7.24.5.tgz",
- "integrity": "sha512-5CHncttXohrHk8GWOFCcCl4oRD9fKosWlIRgWm4ql9VYioKm52Mk2xsmoohvm7f3JoiLSM5ZgJuRaf5QZZYd3Q==",
- "dependencies": {
- "@babel/types": "^7.24.5"
- },
- "engines": {
- "node": ">=6.9.0"
- }
- },
- "node_modules/@babel/helper-string-parser": {
- "version": "7.24.1",
- "resolved": "https://registry.npmjs.org/@babel/helper-string-parser/-/helper-string-parser-7.24.1.tgz",
- "integrity": "sha512-2ofRCjnnA9y+wk8b9IAREroeUP02KHp431N2mhKniy2yKIDKpbrHv9eXwm8cBeWQYcJmzv5qKCu65P47eCF7CQ==",
- "engines": {
- "node": ">=6.9.0"
- }
- },
- "node_modules/@babel/helper-validator-identifier": {
- "version": "7.24.5",
- "resolved": "https://registry.npmjs.org/@babel/helper-validator-identifier/-/helper-validator-identifier-7.24.5.tgz",
- "integrity": "sha512-3q93SSKX2TWCG30M2G2kwaKeTYgEUp5Snjuj8qm729SObL6nbtUldAi37qbxkD5gg3xnBio+f9nqpSepGZMvxA==",
- "engines": {
- "node": ">=6.9.0"
- }
- },
- "node_modules/@babel/helper-validator-option": {
- "version": "7.23.5",
- "resolved": "https://registry.npmjs.org/@babel/helper-validator-option/-/helper-validator-option-7.23.5.tgz",
- "integrity": "sha512-85ttAOMLsr53VgXkTbkx8oA6YTfT4q7/HzXSLEYmjcSTJPMPQtvq1BD79Byep5xMUYbGRzEpDsjUf3dyp54IKw==",
- "engines": {
- "node": ">=6.9.0"
- }
- },
- "node_modules/@babel/helpers": {
- "version": "7.24.5",
- "resolved": "https://registry.npmjs.org/@babel/helpers/-/helpers-7.24.5.tgz",
- "integrity": "sha512-CiQmBMMpMQHwM5m01YnrM6imUG1ebgYJ+fAIW4FZe6m4qHTPaRHti+R8cggAwkdz4oXhtO4/K9JWlh+8hIfR2Q==",
- "dependencies": {
- "@babel/template": "^7.24.0",
- "@babel/traverse": "^7.24.5",
- "@babel/types": "^7.24.5"
- },
- "engines": {
- "node": ">=6.9.0"
- }
- },
- "node_modules/@babel/highlight": {
- "version": "7.24.5",
- "resolved": "https://registry.npmjs.org/@babel/highlight/-/highlight-7.24.5.tgz",
- "integrity": "sha512-8lLmua6AVh/8SLJRRVD6V8p73Hir9w5mJrhE+IPpILG31KKlI9iz5zmBYKcWPS59qSfgP9RaSBQSHHE81WKuEw==",
- "dependencies": {
- "@babel/helper-validator-identifier": "^7.24.5",
- "chalk": "^2.4.2",
- "js-tokens": "^4.0.0",
- "picocolors": "^1.0.0"
- },
- "engines": {
- "node": ">=6.9.0"
- }
- },
- "node_modules/@babel/parser": {
- "version": "7.24.5",
- "resolved": "https://registry.npmjs.org/@babel/parser/-/parser-7.24.5.tgz",
- "integrity": "sha512-EOv5IK8arwh3LI47dz1b0tKUb/1uhHAnHJOrjgtQMIpu1uXd9mlFrJg9IUgGUgZ41Ch0K8REPTYpO7B76b4vJg==",
- "bin": {
- "parser": "bin/babel-parser.js"
- },
- "engines": {
- "node": ">=6.0.0"
- }
- },
- "node_modules/@babel/runtime": {
- "version": "7.24.5",
- "resolved": "https://registry.npmjs.org/@babel/runtime/-/runtime-7.24.5.tgz",
- "integrity": "sha512-Nms86NXrsaeU9vbBJKni6gXiEXZ4CVpYVzEjDH9Sb8vmZ3UljyA1GSOJl/6LGPO8EHLuSF9H+IxNXHPX8QHJ4g==",
- "dependencies": {
- "regenerator-runtime": "^0.14.0"
- },
- "engines": {
- "node": ">=6.9.0"
- }
- },
- "node_modules/@babel/template": {
- "version": "7.24.0",
- "resolved": "https://registry.npmjs.org/@babel/template/-/template-7.24.0.tgz",
- "integrity": "sha512-Bkf2q8lMB0AFpX0NFEqSbx1OkTHf0f+0j82mkw+ZpzBnkk7e9Ql0891vlfgi+kHwOk8tQjiQHpqh4LaSa0fKEA==",
- "dependencies": {
- "@babel/code-frame": "^7.23.5",
- "@babel/parser": "^7.24.0",
- "@babel/types": "^7.24.0"
- },
- "engines": {
- "node": ">=6.9.0"
- }
- },
- "node_modules/@babel/traverse": {
- "version": "7.24.5",
- "resolved": "https://registry.npmjs.org/@babel/traverse/-/traverse-7.24.5.tgz",
- "integrity": "sha512-7aaBLeDQ4zYcUFDUD41lJc1fG8+5IU9DaNSJAgal866FGvmD5EbWQgnEC6kO1gGLsX0esNkfnJSndbTXA3r7UA==",
- "dependencies": {
- "@babel/code-frame": "^7.24.2",
- "@babel/generator": "^7.24.5",
- "@babel/helper-environment-visitor": "^7.22.20",
- "@babel/helper-function-name": "^7.23.0",
- "@babel/helper-hoist-variables": "^7.22.5",
- "@babel/helper-split-export-declaration": "^7.24.5",
- "@babel/parser": "^7.24.5",
- "@babel/types": "^7.24.5",
- "debug": "^4.3.1",
- "globals": "^11.1.0"
- },
- "engines": {
- "node": ">=6.9.0"
- }
- },
- "node_modules/@babel/types": {
- "version": "7.24.5",
- "resolved": "https://registry.npmjs.org/@babel/types/-/types-7.24.5.tgz",
- "integrity": "sha512-6mQNsaLeXTw0nxYUYu+NSa4Hx4BlF1x1x8/PMFbiR+GBSr+2DkECc69b8hgy2frEodNcvPffeH8YfWd3LI6jhQ==",
- "dependencies": {
- "@babel/helper-string-parser": "^7.24.1",
- "@babel/helper-validator-identifier": "^7.24.5",
- "to-fast-properties": "^2.0.0"
- },
- "engines": {
- "node": ">=6.9.0"
- }
- },
- "node_modules/@clack/core": {
- "version": "0.3.4",
- "resolved": "https://registry.npmjs.org/@clack/core/-/core-0.3.4.tgz",
- "integrity": "sha512-H4hxZDXgHtWTwV3RAVenqcC4VbJZNegbBjlPvzOzCouXtS2y3sDvlO3IsbrPNWuLWPPlYVYPghQdSF64683Ldw==",
- "dependencies": {
- "picocolors": "^1.0.0",
- "sisteransi": "^1.0.5"
- }
- },
- "node_modules/@clack/prompts": {
- "version": "0.7.0",
- "resolved": "https://registry.npmjs.org/@clack/prompts/-/prompts-0.7.0.tgz",
- "integrity": "sha512-0MhX9/B4iL6Re04jPrttDm+BsP8y6mS7byuv0BvXgdXhbV5PdlsHt55dvNsuBCPZ7xq1oTAOOuotR9NFbQyMSA==",
- "bundleDependencies": [
- "is-unicode-supported"
- ],
- "dependencies": {
- "@clack/core": "^0.3.3",
- "is-unicode-supported": "*",
- "picocolors": "^1.0.0",
- "sisteransi": "^1.0.5"
- }
- },
- "node_modules/@clack/prompts/node_modules/is-unicode-supported": {
- "version": "1.3.0",
- "inBundle": true,
- "license": "MIT",
- "engines": {
- "node": ">=12"
- },
- "funding": {
- "url": "https://github.com/sponsors/sindresorhus"
- }
- },
- "node_modules/@esbuild/aix-ppc64": {
- "version": "0.20.2",
- "resolved": "https://registry.npmjs.org/@esbuild/aix-ppc64/-/aix-ppc64-0.20.2.tgz",
- "integrity": "sha512-D+EBOJHXdNZcLJRBkhENNG8Wji2kgc9AZ9KiPr1JuZjsNtyHzrsfLRrY0tk2H2aoFu6RANO1y1iPPUCDYWkb5g==",
- "cpu": [
- "ppc64"
- ],
- "optional": true,
- "os": [
- "aix"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/@esbuild/android-arm": {
- "version": "0.17.19",
- "resolved": "https://registry.npmjs.org/@esbuild/android-arm/-/android-arm-0.17.19.tgz",
- "integrity": "sha512-rIKddzqhmav7MSmoFCmDIb6e2W57geRsM94gV2l38fzhXMwq7hZoClug9USI2pFRGL06f4IOPHHpFNOkWieR8A==",
- "cpu": [
- "arm"
- ],
- "optional": true,
- "os": [
- "android"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/@esbuild/android-arm64": {
- "version": "0.17.19",
- "resolved": "https://registry.npmjs.org/@esbuild/android-arm64/-/android-arm64-0.17.19.tgz",
- "integrity": "sha512-KBMWvEZooR7+kzY0BtbTQn0OAYY7CsiydT63pVEaPtVYF0hXbUaOyZog37DKxK7NF3XacBJOpYT4adIJh+avxA==",
- "cpu": [
- "arm64"
- ],
- "optional": true,
- "os": [
- "android"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/@esbuild/android-x64": {
- "version": "0.17.19",
- "resolved": "https://registry.npmjs.org/@esbuild/android-x64/-/android-x64-0.17.19.tgz",
- "integrity": "sha512-uUTTc4xGNDT7YSArp/zbtmbhO0uEEK9/ETW29Wk1thYUJBz3IVnvgEiEwEa9IeLyvnpKrWK64Utw2bgUmDveww==",
- "cpu": [
- "x64"
- ],
- "optional": true,
- "os": [
- "android"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/@esbuild/darwin-arm64": {
- "version": "0.17.19",
- "resolved": "https://registry.npmjs.org/@esbuild/darwin-arm64/-/darwin-arm64-0.17.19.tgz",
- "integrity": "sha512-80wEoCfF/hFKM6WE1FyBHc9SfUblloAWx6FJkFWTWiCoht9Mc0ARGEM47e67W9rI09YoUxJL68WHfDRYEAvOhg==",
- "cpu": [
- "arm64"
- ],
- "optional": true,
- "os": [
- "darwin"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/@esbuild/darwin-x64": {
- "version": "0.17.19",
- "resolved": "https://registry.npmjs.org/@esbuild/darwin-x64/-/darwin-x64-0.17.19.tgz",
- "integrity": "sha512-IJM4JJsLhRYr9xdtLytPLSH9k/oxR3boaUIYiHkAawtwNOXKE8KoU8tMvryogdcT8AU+Bflmh81Xn6Q0vTZbQw==",
- "cpu": [
- "x64"
- ],
- "optional": true,
- "os": [
- "darwin"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/@esbuild/freebsd-arm64": {
- "version": "0.17.19",
- "resolved": "https://registry.npmjs.org/@esbuild/freebsd-arm64/-/freebsd-arm64-0.17.19.tgz",
- "integrity": "sha512-pBwbc7DufluUeGdjSU5Si+P3SoMF5DQ/F/UmTSb8HXO80ZEAJmrykPyzo1IfNbAoaqw48YRpv8shwd1NoI0jcQ==",
- "cpu": [
- "arm64"
- ],
- "optional": true,
- "os": [
- "freebsd"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/@esbuild/freebsd-x64": {
- "version": "0.17.19",
- "resolved": "https://registry.npmjs.org/@esbuild/freebsd-x64/-/freebsd-x64-0.17.19.tgz",
- "integrity": "sha512-4lu+n8Wk0XlajEhbEffdy2xy53dpR06SlzvhGByyg36qJw6Kpfk7cp45DR/62aPH9mtJRmIyrXAS5UWBrJT6TQ==",
- "cpu": [
- "x64"
- ],
- "optional": true,
- "os": [
- "freebsd"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/@esbuild/linux-arm": {
- "version": "0.17.19",
- "resolved": "https://registry.npmjs.org/@esbuild/linux-arm/-/linux-arm-0.17.19.tgz",
- "integrity": "sha512-cdmT3KxjlOQ/gZ2cjfrQOtmhG4HJs6hhvm3mWSRDPtZ/lP5oe8FWceS10JaSJC13GBd4eH/haHnqf7hhGNLerA==",
- "cpu": [
- "arm"
- ],
- "optional": true,
- "os": [
- "linux"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/@esbuild/linux-arm64": {
- "version": "0.17.19",
- "resolved": "https://registry.npmjs.org/@esbuild/linux-arm64/-/linux-arm64-0.17.19.tgz",
- "integrity": "sha512-ct1Tg3WGwd3P+oZYqic+YZF4snNl2bsnMKRkb3ozHmnM0dGWuxcPTTntAF6bOP0Sp4x0PjSF+4uHQ1xvxfRKqg==",
- "cpu": [
- "arm64"
- ],
- "optional": true,
- "os": [
- "linux"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/@esbuild/linux-ia32": {
- "version": "0.17.19",
- "resolved": "https://registry.npmjs.org/@esbuild/linux-ia32/-/linux-ia32-0.17.19.tgz",
- "integrity": "sha512-w4IRhSy1VbsNxHRQpeGCHEmibqdTUx61Vc38APcsRbuVgK0OPEnQ0YD39Brymn96mOx48Y2laBQGqgZ0j9w6SQ==",
- "cpu": [
- "ia32"
- ],
- "optional": true,
- "os": [
- "linux"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/@esbuild/linux-loong64": {
- "version": "0.17.19",
- "resolved": "https://registry.npmjs.org/@esbuild/linux-loong64/-/linux-loong64-0.17.19.tgz",
- "integrity": "sha512-2iAngUbBPMq439a+z//gE+9WBldoMp1s5GWsUSgqHLzLJ9WoZLZhpwWuym0u0u/4XmZ3gpHmzV84PonE+9IIdQ==",
- "cpu": [
- "loong64"
- ],
- "optional": true,
- "os": [
- "linux"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/@esbuild/linux-mips64el": {
- "version": "0.17.19",
- "resolved": "https://registry.npmjs.org/@esbuild/linux-mips64el/-/linux-mips64el-0.17.19.tgz",
- "integrity": "sha512-LKJltc4LVdMKHsrFe4MGNPp0hqDFA1Wpt3jE1gEyM3nKUvOiO//9PheZZHfYRfYl6AwdTH4aTcXSqBerX0ml4A==",
- "cpu": [
- "mips64el"
- ],
- "optional": true,
- "os": [
- "linux"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/@esbuild/linux-ppc64": {
- "version": "0.17.19",
- "resolved": "https://registry.npmjs.org/@esbuild/linux-ppc64/-/linux-ppc64-0.17.19.tgz",
- "integrity": "sha512-/c/DGybs95WXNS8y3Ti/ytqETiW7EU44MEKuCAcpPto3YjQbyK3IQVKfF6nbghD7EcLUGl0NbiL5Rt5DMhn5tg==",
- "cpu": [
- "ppc64"
- ],
- "optional": true,
- "os": [
- "linux"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/@esbuild/linux-riscv64": {
- "version": "0.17.19",
- "resolved": "https://registry.npmjs.org/@esbuild/linux-riscv64/-/linux-riscv64-0.17.19.tgz",
- "integrity": "sha512-FC3nUAWhvFoutlhAkgHf8f5HwFWUL6bYdvLc/TTuxKlvLi3+pPzdZiFKSWz/PF30TB1K19SuCxDTI5KcqASJqA==",
- "cpu": [
- "riscv64"
- ],
- "optional": true,
- "os": [
- "linux"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/@esbuild/linux-s390x": {
- "version": "0.17.19",
- "resolved": "https://registry.npmjs.org/@esbuild/linux-s390x/-/linux-s390x-0.17.19.tgz",
- "integrity": "sha512-IbFsFbxMWLuKEbH+7sTkKzL6NJmG2vRyy6K7JJo55w+8xDk7RElYn6xvXtDW8HCfoKBFK69f3pgBJSUSQPr+4Q==",
- "cpu": [
- "s390x"
- ],
- "optional": true,
- "os": [
- "linux"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/@esbuild/linux-x64": {
- "version": "0.17.19",
- "resolved": "https://registry.npmjs.org/@esbuild/linux-x64/-/linux-x64-0.17.19.tgz",
- "integrity": "sha512-68ngA9lg2H6zkZcyp22tsVt38mlhWde8l3eJLWkyLrp4HwMUr3c1s/M2t7+kHIhvMjglIBrFpncX1SzMckomGw==",
- "cpu": [
- "x64"
- ],
- "optional": true,
- "os": [
- "linux"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/@esbuild/netbsd-x64": {
- "version": "0.17.19",
- "resolved": "https://registry.npmjs.org/@esbuild/netbsd-x64/-/netbsd-x64-0.17.19.tgz",
- "integrity": "sha512-CwFq42rXCR8TYIjIfpXCbRX0rp1jo6cPIUPSaWwzbVI4aOfX96OXY8M6KNmtPcg7QjYeDmN+DD0Wp3LaBOLf4Q==",
- "cpu": [
- "x64"
- ],
- "optional": true,
- "os": [
- "netbsd"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/@esbuild/openbsd-x64": {
- "version": "0.17.19",
- "resolved": "https://registry.npmjs.org/@esbuild/openbsd-x64/-/openbsd-x64-0.17.19.tgz",
- "integrity": "sha512-cnq5brJYrSZ2CF6c35eCmviIN3k3RczmHz8eYaVlNasVqsNY+JKohZU5MKmaOI+KkllCdzOKKdPs762VCPC20g==",
- "cpu": [
- "x64"
- ],
- "optional": true,
- "os": [
- "openbsd"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/@esbuild/sunos-x64": {
- "version": "0.17.19",
- "resolved": "https://registry.npmjs.org/@esbuild/sunos-x64/-/sunos-x64-0.17.19.tgz",
- "integrity": "sha512-vCRT7yP3zX+bKWFeP/zdS6SqdWB8OIpaRq/mbXQxTGHnIxspRtigpkUcDMlSCOejlHowLqII7K2JKevwyRP2rg==",
- "cpu": [
- "x64"
- ],
- "optional": true,
- "os": [
- "sunos"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/@esbuild/win32-arm64": {
- "version": "0.17.19",
- "resolved": "https://registry.npmjs.org/@esbuild/win32-arm64/-/win32-arm64-0.17.19.tgz",
- "integrity": "sha512-yYx+8jwowUstVdorcMdNlzklLYhPxjniHWFKgRqH7IFlUEa0Umu3KuYplf1HUZZ422e3NU9F4LGb+4O0Kdcaag==",
- "cpu": [
- "arm64"
- ],
- "optional": true,
- "os": [
- "win32"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/@esbuild/win32-ia32": {
- "version": "0.17.19",
- "resolved": "https://registry.npmjs.org/@esbuild/win32-ia32/-/win32-ia32-0.17.19.tgz",
- "integrity": "sha512-eggDKanJszUtCdlVs0RB+h35wNlb5v4TWEkq4vZcmVt5u/HiDZrTXe2bWFQUez3RgNHwx/x4sk5++4NSSicKkw==",
- "cpu": [
- "ia32"
- ],
- "optional": true,
- "os": [
- "win32"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/@esbuild/win32-x64": {
- "version": "0.17.19",
- "resolved": "https://registry.npmjs.org/@esbuild/win32-x64/-/win32-x64-0.17.19.tgz",
- "integrity": "sha512-lAhycmKnVOuRYNtRtatQR1LPQf2oYCkRGkSFnseDAKPl8lu5SOsK/e1sXe5a0Pc5kHIHe6P2I/ilntNv2xf3cA==",
- "cpu": [
- "x64"
- ],
- "optional": true,
- "os": [
- "win32"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/@eslint-community/eslint-utils": {
- "version": "4.4.0",
- "resolved": "https://registry.npmjs.org/@eslint-community/eslint-utils/-/eslint-utils-4.4.0.tgz",
- "integrity": "sha512-1/sA4dwrzBAyeUoQ6oxahHKmrZvsnLCg4RfxW3ZFGGmQkSNQPFNLV9CUEFQP1x9EYXHTo5p6xdhZM1Ne9p/AfA==",
- "dev": true,
- "dependencies": {
- "eslint-visitor-keys": "^3.3.0"
- },
- "engines": {
- "node": "^12.22.0 || ^14.17.0 || >=16.0.0"
- },
- "peerDependencies": {
- "eslint": "^6.0.0 || ^7.0.0 || >=8.0.0"
- }
- },
- "node_modules/@eslint-community/regexpp": {
- "version": "4.10.0",
- "resolved": "https://registry.npmjs.org/@eslint-community/regexpp/-/regexpp-4.10.0.tgz",
- "integrity": "sha512-Cu96Sd2By9mCNTx2iyKOmq10v22jUVQv0lQnlGNy16oE9589yE+QADPbrMGCkA51cKZSg3Pu/aTJVTGfL/qjUA==",
- "dev": true,
- "engines": {
- "node": "^12.0.0 || ^14.0.0 || >=16.0.0"
- }
- },
- "node_modules/@eslint/eslintrc": {
- "version": "2.1.4",
- "resolved": "https://registry.npmjs.org/@eslint/eslintrc/-/eslintrc-2.1.4.tgz",
- "integrity": "sha512-269Z39MS6wVJtsoUl10L60WdkhJVdPG24Q4eZTH3nnF6lpvSShEK3wQjDX9JRWAUPvPh7COouPpU9IrqaZFvtQ==",
- "dev": true,
- "dependencies": {
- "ajv": "^6.12.4",
- "debug": "^4.3.2",
- "espree": "^9.6.0",
- "globals": "^13.19.0",
- "ignore": "^5.2.0",
- "import-fresh": "^3.2.1",
- "js-yaml": "^4.1.0",
- "minimatch": "^3.1.2",
- "strip-json-comments": "^3.1.1"
- },
- "engines": {
- "node": "^12.22.0 || ^14.17.0 || >=16.0.0"
- },
- "funding": {
- "url": "https://opencollective.com/eslint"
- }
- },
- "node_modules/@eslint/eslintrc/node_modules/brace-expansion": {
- "version": "1.1.11",
- "resolved": "https://registry.npmjs.org/brace-expansion/-/brace-expansion-1.1.11.tgz",
- "integrity": "sha512-iCuPHDFgrHX7H2vEI/5xpz07zSHB00TpugqhmYtVmMO6518mCuRMoOYFldEBl0g187ufozdaHgWKcYFb61qGiA==",
- "dev": true,
- "dependencies": {
- "balanced-match": "^1.0.0",
- "concat-map": "0.0.1"
- }
- },
- "node_modules/@eslint/eslintrc/node_modules/globals": {
- "version": "13.24.0",
- "resolved": "https://registry.npmjs.org/globals/-/globals-13.24.0.tgz",
- "integrity": "sha512-AhO5QUcj8llrbG09iWhPU2B204J1xnPeL8kQmVorSsy+Sjj1sk8gIyh6cUocGmH4L0UuhAJy+hJMRA4mgA4mFQ==",
- "dev": true,
- "dependencies": {
- "type-fest": "^0.20.2"
- },
- "engines": {
- "node": ">=8"
- },
- "funding": {
- "url": "https://github.com/sponsors/sindresorhus"
- }
- },
- "node_modules/@eslint/eslintrc/node_modules/minimatch": {
- "version": "3.1.2",
- "resolved": "https://registry.npmjs.org/minimatch/-/minimatch-3.1.2.tgz",
- "integrity": "sha512-J7p63hRiAjw1NDEww1W7i37+ByIrOWO5XQQAzZ3VOcL0PNybwpfmV/N05zFAzwQ9USyEcX6t3UO+K5aqBQOIHw==",
- "dev": true,
- "dependencies": {
- "brace-expansion": "^1.1.7"
- },
- "engines": {
- "node": "*"
- }
- },
- "node_modules/@eslint/js": {
- "version": "8.57.0",
- "resolved": "https://registry.npmjs.org/@eslint/js/-/js-8.57.0.tgz",
- "integrity": "sha512-Ys+3g2TaW7gADOJzPt83SJtCDhMjndcDMFVQ/Tj9iA1BfJzFKD9mAUXT3OenpuPHbI6P/myECxRJrofUsDx/5g==",
- "dev": true,
- "engines": {
- "node": "^12.22.0 || ^14.17.0 || >=16.0.0"
- }
- },
- "node_modules/@floating-ui/core": {
- "version": "1.6.2",
- "resolved": "https://registry.npmjs.org/@floating-ui/core/-/core-1.6.2.tgz",
- "integrity": "sha512-+2XpQV9LLZeanU4ZevzRnGFg2neDeKHgFLjP6YLW+tly0IvrhqT4u8enLGjLH3qeh85g19xY5rsAusfwTdn5lg==",
- "dependencies": {
- "@floating-ui/utils": "^0.2.0"
- }
- },
- "node_modules/@floating-ui/dom": {
- "version": "1.6.5",
- "resolved": "https://registry.npmjs.org/@floating-ui/dom/-/dom-1.6.5.tgz",
- "integrity": "sha512-Nsdud2X65Dz+1RHjAIP0t8z5e2ff/IRbei6BqFrl1urT8sDVzM1HMQ+R0XcU5ceRfyO3I6ayeqIfh+6Wb8LGTw==",
- "dependencies": {
- "@floating-ui/core": "^1.0.0",
- "@floating-ui/utils": "^0.2.0"
- }
- },
- "node_modules/@floating-ui/react-dom": {
- "version": "2.1.0",
- "resolved": "https://registry.npmjs.org/@floating-ui/react-dom/-/react-dom-2.1.0.tgz",
- "integrity": "sha512-lNzj5EQmEKn5FFKc04+zasr09h/uX8RtJRNj5gUXsSQIXHVWTVh+hVAg1vOMCexkX8EgvemMvIFpQfkosnVNyA==",
- "dependencies": {
- "@floating-ui/dom": "^1.0.0"
- },
- "peerDependencies": {
- "react": ">=16.8.0",
- "react-dom": ">=16.8.0"
- }
- },
- "node_modules/@floating-ui/utils": {
- "version": "0.2.2",
- "resolved": "https://registry.npmjs.org/@floating-ui/utils/-/utils-0.2.2.tgz",
- "integrity": "sha512-J4yDIIthosAsRZ5CPYP/jQvUAQtlZTTD/4suA08/FEnlxqW3sKS9iAhgsa9VYLZ6vDHn/ixJgIqRQPotoBjxIw=="
- },
- "node_modules/@headlessui/react": {
- "version": "1.7.19",
- "resolved": "https://registry.npmjs.org/@headlessui/react/-/react-1.7.19.tgz",
- "integrity": "sha512-Ll+8q3OlMJfJbAKM/+/Y2q6PPYbryqNTXDbryx7SXLIDamkF6iQFbriYHga0dY44PvDhvvBWCx1Xj4U5+G4hOw==",
- "dependencies": {
- "@tanstack/react-virtual": "^3.0.0-beta.60",
- "client-only": "^0.0.1"
- },
- "engines": {
- "node": ">=10"
- },
- "peerDependencies": {
- "react": "^16 || ^17 || ^18",
- "react-dom": "^16 || ^17 || ^18"
- }
- },
- "node_modules/@hookform/resolvers": {
- "version": "3.4.2",
- "resolved": "https://registry.npmjs.org/@hookform/resolvers/-/resolvers-3.4.2.tgz",
- "integrity": "sha512-1m9uAVIO8wVf7VCDAGsuGA0t6Z3m6jVGAN50HkV9vYLl0yixKK/Z1lr01vaRvYCkIKGoy1noVRxMzQYb4y/j1Q==",
- "peerDependencies": {
- "react-hook-form": "^7.0.0"
- }
- },
- "node_modules/@humanwhocodes/config-array": {
- "version": "0.11.14",
- "resolved": "https://registry.npmjs.org/@humanwhocodes/config-array/-/config-array-0.11.14.tgz",
- "integrity": "sha512-3T8LkOmg45BV5FICb15QQMsyUSWrQ8AygVfC7ZG32zOalnqrilm018ZVCw0eapXux8FtA33q8PSRSstjee3jSg==",
- "dev": true,
- "dependencies": {
- "@humanwhocodes/object-schema": "^2.0.2",
- "debug": "^4.3.1",
- "minimatch": "^3.0.5"
- },
- "engines": {
- "node": ">=10.10.0"
- }
- },
- "node_modules/@humanwhocodes/config-array/node_modules/brace-expansion": {
- "version": "1.1.11",
- "resolved": "https://registry.npmjs.org/brace-expansion/-/brace-expansion-1.1.11.tgz",
- "integrity": "sha512-iCuPHDFgrHX7H2vEI/5xpz07zSHB00TpugqhmYtVmMO6518mCuRMoOYFldEBl0g187ufozdaHgWKcYFb61qGiA==",
- "dev": true,
- "dependencies": {
- "balanced-match": "^1.0.0",
- "concat-map": "0.0.1"
- }
- },
- "node_modules/@humanwhocodes/config-array/node_modules/minimatch": {
- "version": "3.1.2",
- "resolved": "https://registry.npmjs.org/minimatch/-/minimatch-3.1.2.tgz",
- "integrity": "sha512-J7p63hRiAjw1NDEww1W7i37+ByIrOWO5XQQAzZ3VOcL0PNybwpfmV/N05zFAzwQ9USyEcX6t3UO+K5aqBQOIHw==",
- "dev": true,
- "dependencies": {
- "brace-expansion": "^1.1.7"
- },
- "engines": {
- "node": "*"
- }
- },
- "node_modules/@humanwhocodes/module-importer": {
- "version": "1.0.1",
- "resolved": "https://registry.npmjs.org/@humanwhocodes/module-importer/-/module-importer-1.0.1.tgz",
- "integrity": "sha512-bxveV4V8v5Yb4ncFTT3rPSgZBOpCkjfK0y4oVVVJwIuDVBRMDXrPyXRL988i5ap9m9bnyEEjWfm5WkBmtffLfA==",
- "dev": true,
- "engines": {
- "node": ">=12.22"
- },
- "funding": {
- "type": "github",
- "url": "https://github.com/sponsors/nzakas"
- }
- },
- "node_modules/@humanwhocodes/object-schema": {
- "version": "2.0.3",
- "resolved": "https://registry.npmjs.org/@humanwhocodes/object-schema/-/object-schema-2.0.3.tgz",
- "integrity": "sha512-93zYdMES/c1D69yZiKDBj0V24vqNzB/koF26KPaagAfd3P/4gUlh3Dys5ogAK+Exi9QyzlD8x/08Zt7wIKcDcA==",
- "dev": true
- },
- "node_modules/@isaacs/cliui": {
- "version": "8.0.2",
- "resolved": "https://registry.npmjs.org/@isaacs/cliui/-/cliui-8.0.2.tgz",
- "integrity": "sha512-O8jcjabXaleOG9DQ0+ARXWZBTfnP4WNAqzuiJK7ll44AmxGKv/J2M4TPjxjY3znBCfvBXFzucm1twdyFybFqEA==",
- "dependencies": {
- "string-width": "^5.1.2",
- "string-width-cjs": "npm:string-width@^4.2.0",
- "strip-ansi": "^7.0.1",
- "strip-ansi-cjs": "npm:strip-ansi@^6.0.1",
- "wrap-ansi": "^8.1.0",
- "wrap-ansi-cjs": "npm:wrap-ansi@^7.0.0"
- },
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/@isaacs/cliui/node_modules/ansi-regex": {
- "version": "6.0.1",
- "resolved": "https://registry.npmjs.org/ansi-regex/-/ansi-regex-6.0.1.tgz",
- "integrity": "sha512-n5M855fKb2SsfMIiFFoVrABHJC8QtHwVx+mHWP3QcEqBHYienj5dHSgjbxtC0WEZXYt4wcD6zrQElDPhFuZgfA==",
- "engines": {
- "node": ">=12"
- },
- "funding": {
- "url": "https://github.com/chalk/ansi-regex?sponsor=1"
- }
- },
- "node_modules/@isaacs/cliui/node_modules/ansi-styles": {
- "version": "6.2.1",
- "resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-6.2.1.tgz",
- "integrity": "sha512-bN798gFfQX+viw3R7yrGWRqnrN2oRkEkUjjl4JNn4E8GxxbjtG3FbrEIIY3l8/hrwUwIeCZvi4QuOTP4MErVug==",
- "engines": {
- "node": ">=12"
- },
- "funding": {
- "url": "https://github.com/chalk/ansi-styles?sponsor=1"
- }
- },
- "node_modules/@isaacs/cliui/node_modules/emoji-regex": {
- "version": "9.2.2",
- "resolved": "https://registry.npmjs.org/emoji-regex/-/emoji-regex-9.2.2.tgz",
- "integrity": "sha512-L18DaJsXSUk2+42pv8mLs5jJT2hqFkFE4j21wOmgbUqsZ2hL72NsUU785g9RXgo3s0ZNgVl42TiHp3ZtOv/Vyg=="
- },
- "node_modules/@isaacs/cliui/node_modules/string-width": {
- "version": "5.1.2",
- "resolved": "https://registry.npmjs.org/string-width/-/string-width-5.1.2.tgz",
- "integrity": "sha512-HnLOCR3vjcY8beoNLtcjZ5/nxn2afmME6lhrDrebokqMap+XbeW8n9TXpPDOqdGK5qcI3oT0GKTW6wC7EMiVqA==",
- "dependencies": {
- "eastasianwidth": "^0.2.0",
- "emoji-regex": "^9.2.2",
- "strip-ansi": "^7.0.1"
- },
- "engines": {
- "node": ">=12"
- },
- "funding": {
- "url": "https://github.com/sponsors/sindresorhus"
- }
- },
- "node_modules/@isaacs/cliui/node_modules/strip-ansi": {
- "version": "7.1.0",
- "resolved": "https://registry.npmjs.org/strip-ansi/-/strip-ansi-7.1.0.tgz",
- "integrity": "sha512-iq6eVVI64nQQTRYq2KtEg2d2uU7LElhTJwsH4YzIHZshxlgZms/wIc4VoDQTlG/IvVIrBKG06CrZnp0qv7hkcQ==",
- "dependencies": {
- "ansi-regex": "^6.0.1"
- },
- "engines": {
- "node": ">=12"
- },
- "funding": {
- "url": "https://github.com/chalk/strip-ansi?sponsor=1"
- }
- },
- "node_modules/@isaacs/cliui/node_modules/wrap-ansi": {
- "version": "8.1.0",
- "resolved": "https://registry.npmjs.org/wrap-ansi/-/wrap-ansi-8.1.0.tgz",
- "integrity": "sha512-si7QWI6zUMq56bESFvagtmzMdGOtoxfR+Sez11Mobfc7tm+VkUckk9bW2UeffTGVUbOksxmSw0AA2gs8g71NCQ==",
- "dependencies": {
- "ansi-styles": "^6.1.0",
- "string-width": "^5.0.1",
- "strip-ansi": "^7.0.1"
- },
- "engines": {
- "node": ">=12"
- },
- "funding": {
- "url": "https://github.com/chalk/wrap-ansi?sponsor=1"
- }
- },
- "node_modules/@jridgewell/gen-mapping": {
- "version": "0.3.5",
- "resolved": "https://registry.npmjs.org/@jridgewell/gen-mapping/-/gen-mapping-0.3.5.tgz",
- "integrity": "sha512-IzL8ZoEDIBRWEzlCcRhOaCupYyN5gdIK+Q6fbFdPDg6HqX6jpkItn7DFIpW9LQzXG6Df9sA7+OKnq0qlz/GaQg==",
- "dependencies": {
- "@jridgewell/set-array": "^1.2.1",
- "@jridgewell/sourcemap-codec": "^1.4.10",
- "@jridgewell/trace-mapping": "^0.3.24"
- },
- "engines": {
- "node": ">=6.0.0"
- }
- },
- "node_modules/@jridgewell/resolve-uri": {
- "version": "3.1.2",
- "resolved": "https://registry.npmjs.org/@jridgewell/resolve-uri/-/resolve-uri-3.1.2.tgz",
- "integrity": "sha512-bRISgCIjP20/tbWSPWMEi54QVPRZExkuD9lJL+UIxUKtwVJA8wW1Trb1jMs1RFXo1CBTNZ/5hpC9QvmKWdopKw==",
- "engines": {
- "node": ">=6.0.0"
- }
- },
- "node_modules/@jridgewell/set-array": {
- "version": "1.2.1",
- "resolved": "https://registry.npmjs.org/@jridgewell/set-array/-/set-array-1.2.1.tgz",
- "integrity": "sha512-R8gLRTZeyp03ymzP/6Lil/28tGeGEzhx1q2k703KGWRAI1VdvPIXdG70VJc2pAMw3NA6JKL5hhFu1sJX0Mnn/A==",
- "engines": {
- "node": ">=6.0.0"
- }
- },
- "node_modules/@jridgewell/sourcemap-codec": {
- "version": "1.4.15",
- "resolved": "https://registry.npmjs.org/@jridgewell/sourcemap-codec/-/sourcemap-codec-1.4.15.tgz",
- "integrity": "sha512-eF2rxCRulEKXHTRiDrDy6erMYWqNw4LPdQ8UQA4huuxaQsVeRPFl2oM8oDGxMFhJUWZf9McpLtJasDDZb/Bpeg=="
- },
- "node_modules/@jridgewell/trace-mapping": {
- "version": "0.3.25",
- "resolved": "https://registry.npmjs.org/@jridgewell/trace-mapping/-/trace-mapping-0.3.25.tgz",
- "integrity": "sha512-vNk6aEwybGtawWmy/PzwnGDOjCkLWSD2wqvjGGAgOAwCGWySYXfYoxt00IJkTF+8Lb57DwOb3Aa0o9CApepiYQ==",
- "dependencies": {
- "@jridgewell/resolve-uri": "^3.1.0",
- "@jridgewell/sourcemap-codec": "^1.4.14"
- }
- },
- "node_modules/@mapbox/node-pre-gyp": {
- "version": "1.0.11",
- "resolved": "https://registry.npmjs.org/@mapbox/node-pre-gyp/-/node-pre-gyp-1.0.11.tgz",
- "integrity": "sha512-Yhlar6v9WQgUp/He7BdgzOz8lqMQ8sU+jkCq7Wx8Myc5YFJLbEe7lgui/V7G1qB1DJykHSGwreceSaD60Y0PUQ==",
- "optional": true,
- "dependencies": {
- "detect-libc": "^2.0.0",
- "https-proxy-agent": "^5.0.0",
- "make-dir": "^3.1.0",
- "node-fetch": "^2.6.7",
- "nopt": "^5.0.0",
- "npmlog": "^5.0.1",
- "rimraf": "^3.0.2",
- "semver": "^7.3.5",
- "tar": "^6.1.11"
- },
- "bin": {
- "node-pre-gyp": "bin/node-pre-gyp"
- }
- },
- "node_modules/@mapbox/node-pre-gyp/node_modules/semver": {
- "version": "7.6.2",
- "resolved": "https://registry.npmjs.org/semver/-/semver-7.6.2.tgz",
- "integrity": "sha512-FNAIBWCx9qcRhoHcgcJ0gvU7SN1lYU2ZXuSfl04bSC5OpvDHFyJCjdNHomPXxjQlCBU67YW64PzY7/VIEH7F2w==",
- "optional": true,
- "bin": {
- "semver": "bin/semver.js"
- },
- "engines": {
- "node": ">=10"
- }
- },
- "node_modules/@million/install": {
- "version": "0.0.3",
- "resolved": "https://registry.npmjs.org/@million/install/-/install-0.0.3.tgz",
- "integrity": "sha512-yK8NgP+73+Tby/bmQ12B96bJ7RjsLazLtFgBed1Fg1WfTCCpHTILq79yQMSD/OWgm1tt1NYV4ELaTRM6wZOeAg==",
- "dependencies": {
- "@antfu/ni": "^0.21.12",
- "@axiomhq/js": "1.0.0-rc.3",
- "@babel/core": "^7.24.5",
- "@babel/types": "^7.23.6",
- "@clack/prompts": "^0.7.0",
- "cli-high": "^0.4.1",
- "diff": "^5.1.0",
- "posthog-node": "^3.6.3",
- "xycolors": "^0.1.1"
- },
- "bin": {
- "install": "bin/index.js"
- }
- },
- "node_modules/@million/lint": {
- "version": "0.0.73",
- "resolved": "https://registry.npmjs.org/@million/lint/-/lint-0.0.73.tgz",
- "integrity": "sha512-UR1VR/GorYt5bRKBtNeS2ZWj6PZk8RVpwV7WDjWmdbLqLAYv4JlRnkPAImZbJR5R50jsHpopmcqqm4mcbyZwiw==",
- "dependencies": {
- "@babel/core": "^7.23.7",
- "@babel/helper-module-imports": "^7.22.15",
- "@babel/types": "^7.23.6",
- "@radix-ui/react-dialog": "^1.0.5",
- "@radix-ui/react-tooltip": "^1.0.7",
- "@rollup/pluginutils": "^5.1.0",
- "cmdk": "^0.2.1",
- "esbuild": "^0.20.1",
- "escalade": "^3.1.2",
- "isomorphic-fetch": "^3.0.0",
- "posthog-node": "^3.6.3",
- "react": "^18",
- "react-dom": "^18",
- "react-draggable": "^4.4.6",
- "react-reconciler": "^0.29.0",
- "unplugin": "^1.6.0",
- "zustand": "^4.5.2"
- },
- "bin": {
- "lint": "dist/wizard/index.js"
- }
- },
- "node_modules/@million/lint/node_modules/@esbuild/android-arm": {
- "version": "0.20.2",
- "resolved": "https://registry.npmjs.org/@esbuild/android-arm/-/android-arm-0.20.2.tgz",
- "integrity": "sha512-t98Ra6pw2VaDhqNWO2Oph2LXbz/EJcnLmKLGBJwEwXX/JAN83Fym1rU8l0JUWK6HkIbWONCSSatf4sf2NBRx/w==",
- "cpu": [
- "arm"
- ],
- "optional": true,
- "os": [
- "android"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/@million/lint/node_modules/@esbuild/android-arm64": {
- "version": "0.20.2",
- "resolved": "https://registry.npmjs.org/@esbuild/android-arm64/-/android-arm64-0.20.2.tgz",
- "integrity": "sha512-mRzjLacRtl/tWU0SvD8lUEwb61yP9cqQo6noDZP/O8VkwafSYwZ4yWy24kan8jE/IMERpYncRt2dw438LP3Xmg==",
- "cpu": [
- "arm64"
- ],
- "optional": true,
- "os": [
- "android"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/@million/lint/node_modules/@esbuild/android-x64": {
- "version": "0.20.2",
- "resolved": "https://registry.npmjs.org/@esbuild/android-x64/-/android-x64-0.20.2.tgz",
- "integrity": "sha512-btzExgV+/lMGDDa194CcUQm53ncxzeBrWJcncOBxuC6ndBkKxnHdFJn86mCIgTELsooUmwUm9FkhSp5HYu00Rg==",
- "cpu": [
- "x64"
- ],
- "optional": true,
- "os": [
- "android"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/@million/lint/node_modules/@esbuild/darwin-arm64": {
- "version": "0.20.2",
- "resolved": "https://registry.npmjs.org/@esbuild/darwin-arm64/-/darwin-arm64-0.20.2.tgz",
- "integrity": "sha512-4J6IRT+10J3aJH3l1yzEg9y3wkTDgDk7TSDFX+wKFiWjqWp/iCfLIYzGyasx9l0SAFPT1HwSCR+0w/h1ES/MjA==",
- "cpu": [
- "arm64"
- ],
- "optional": true,
- "os": [
- "darwin"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/@million/lint/node_modules/@esbuild/darwin-x64": {
- "version": "0.20.2",
- "resolved": "https://registry.npmjs.org/@esbuild/darwin-x64/-/darwin-x64-0.20.2.tgz",
- "integrity": "sha512-tBcXp9KNphnNH0dfhv8KYkZhjc+H3XBkF5DKtswJblV7KlT9EI2+jeA8DgBjp908WEuYll6pF+UStUCfEpdysA==",
- "cpu": [
- "x64"
- ],
- "optional": true,
- "os": [
- "darwin"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/@million/lint/node_modules/@esbuild/freebsd-arm64": {
- "version": "0.20.2",
- "resolved": "https://registry.npmjs.org/@esbuild/freebsd-arm64/-/freebsd-arm64-0.20.2.tgz",
- "integrity": "sha512-d3qI41G4SuLiCGCFGUrKsSeTXyWG6yem1KcGZVS+3FYlYhtNoNgYrWcvkOoaqMhwXSMrZRl69ArHsGJ9mYdbbw==",
- "cpu": [
- "arm64"
- ],
- "optional": true,
- "os": [
- "freebsd"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/@million/lint/node_modules/@esbuild/freebsd-x64": {
- "version": "0.20.2",
- "resolved": "https://registry.npmjs.org/@esbuild/freebsd-x64/-/freebsd-x64-0.20.2.tgz",
- "integrity": "sha512-d+DipyvHRuqEeM5zDivKV1KuXn9WeRX6vqSqIDgwIfPQtwMP4jaDsQsDncjTDDsExT4lR/91OLjRo8bmC1e+Cw==",
- "cpu": [
- "x64"
- ],
- "optional": true,
- "os": [
- "freebsd"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/@million/lint/node_modules/@esbuild/linux-arm": {
- "version": "0.20.2",
- "resolved": "https://registry.npmjs.org/@esbuild/linux-arm/-/linux-arm-0.20.2.tgz",
- "integrity": "sha512-VhLPeR8HTMPccbuWWcEUD1Az68TqaTYyj6nfE4QByZIQEQVWBB8vup8PpR7y1QHL3CpcF6xd5WVBU/+SBEvGTg==",
- "cpu": [
- "arm"
- ],
- "optional": true,
- "os": [
- "linux"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/@million/lint/node_modules/@esbuild/linux-arm64": {
- "version": "0.20.2",
- "resolved": "https://registry.npmjs.org/@esbuild/linux-arm64/-/linux-arm64-0.20.2.tgz",
- "integrity": "sha512-9pb6rBjGvTFNira2FLIWqDk/uaf42sSyLE8j1rnUpuzsODBq7FvpwHYZxQ/It/8b+QOS1RYfqgGFNLRI+qlq2A==",
- "cpu": [
- "arm64"
- ],
- "optional": true,
- "os": [
- "linux"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/@million/lint/node_modules/@esbuild/linux-ia32": {
- "version": "0.20.2",
- "resolved": "https://registry.npmjs.org/@esbuild/linux-ia32/-/linux-ia32-0.20.2.tgz",
- "integrity": "sha512-o10utieEkNPFDZFQm9CoP7Tvb33UutoJqg3qKf1PWVeeJhJw0Q347PxMvBgVVFgouYLGIhFYG0UGdBumROyiig==",
- "cpu": [
- "ia32"
- ],
- "optional": true,
- "os": [
- "linux"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/@million/lint/node_modules/@esbuild/linux-loong64": {
- "version": "0.20.2",
- "resolved": "https://registry.npmjs.org/@esbuild/linux-loong64/-/linux-loong64-0.20.2.tgz",
- "integrity": "sha512-PR7sp6R/UC4CFVomVINKJ80pMFlfDfMQMYynX7t1tNTeivQ6XdX5r2XovMmha/VjR1YN/HgHWsVcTRIMkymrgQ==",
- "cpu": [
- "loong64"
- ],
- "optional": true,
- "os": [
- "linux"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/@million/lint/node_modules/@esbuild/linux-mips64el": {
- "version": "0.20.2",
- "resolved": "https://registry.npmjs.org/@esbuild/linux-mips64el/-/linux-mips64el-0.20.2.tgz",
- "integrity": "sha512-4BlTqeutE/KnOiTG5Y6Sb/Hw6hsBOZapOVF6njAESHInhlQAghVVZL1ZpIctBOoTFbQyGW+LsVYZ8lSSB3wkjA==",
- "cpu": [
- "mips64el"
- ],
- "optional": true,
- "os": [
- "linux"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/@million/lint/node_modules/@esbuild/linux-ppc64": {
- "version": "0.20.2",
- "resolved": "https://registry.npmjs.org/@esbuild/linux-ppc64/-/linux-ppc64-0.20.2.tgz",
- "integrity": "sha512-rD3KsaDprDcfajSKdn25ooz5J5/fWBylaaXkuotBDGnMnDP1Uv5DLAN/45qfnf3JDYyJv/ytGHQaziHUdyzaAg==",
- "cpu": [
- "ppc64"
- ],
- "optional": true,
- "os": [
- "linux"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/@million/lint/node_modules/@esbuild/linux-riscv64": {
- "version": "0.20.2",
- "resolved": "https://registry.npmjs.org/@esbuild/linux-riscv64/-/linux-riscv64-0.20.2.tgz",
- "integrity": "sha512-snwmBKacKmwTMmhLlz/3aH1Q9T8v45bKYGE3j26TsaOVtjIag4wLfWSiZykXzXuE1kbCE+zJRmwp+ZbIHinnVg==",
- "cpu": [
- "riscv64"
- ],
- "optional": true,
- "os": [
- "linux"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/@million/lint/node_modules/@esbuild/linux-s390x": {
- "version": "0.20.2",
- "resolved": "https://registry.npmjs.org/@esbuild/linux-s390x/-/linux-s390x-0.20.2.tgz",
- "integrity": "sha512-wcWISOobRWNm3cezm5HOZcYz1sKoHLd8VL1dl309DiixxVFoFe/o8HnwuIwn6sXre88Nwj+VwZUvJf4AFxkyrQ==",
- "cpu": [
- "s390x"
- ],
- "optional": true,
- "os": [
- "linux"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/@million/lint/node_modules/@esbuild/linux-x64": {
- "version": "0.20.2",
- "resolved": "https://registry.npmjs.org/@esbuild/linux-x64/-/linux-x64-0.20.2.tgz",
- "integrity": "sha512-1MdwI6OOTsfQfek8sLwgyjOXAu+wKhLEoaOLTjbijk6E2WONYpH9ZU2mNtR+lZ2B4uwr+usqGuVfFT9tMtGvGw==",
- "cpu": [
- "x64"
- ],
- "optional": true,
- "os": [
- "linux"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/@million/lint/node_modules/@esbuild/netbsd-x64": {
- "version": "0.20.2",
- "resolved": "https://registry.npmjs.org/@esbuild/netbsd-x64/-/netbsd-x64-0.20.2.tgz",
- "integrity": "sha512-K8/DhBxcVQkzYc43yJXDSyjlFeHQJBiowJ0uVL6Tor3jGQfSGHNNJcWxNbOI8v5k82prYqzPuwkzHt3J1T1iZQ==",
- "cpu": [
- "x64"
- ],
- "optional": true,
- "os": [
- "netbsd"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/@million/lint/node_modules/@esbuild/openbsd-x64": {
- "version": "0.20.2",
- "resolved": "https://registry.npmjs.org/@esbuild/openbsd-x64/-/openbsd-x64-0.20.2.tgz",
- "integrity": "sha512-eMpKlV0SThJmmJgiVyN9jTPJ2VBPquf6Kt/nAoo6DgHAoN57K15ZghiHaMvqjCye/uU4X5u3YSMgVBI1h3vKrQ==",
- "cpu": [
- "x64"
- ],
- "optional": true,
- "os": [
- "openbsd"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/@million/lint/node_modules/@esbuild/sunos-x64": {
- "version": "0.20.2",
- "resolved": "https://registry.npmjs.org/@esbuild/sunos-x64/-/sunos-x64-0.20.2.tgz",
- "integrity": "sha512-2UyFtRC6cXLyejf/YEld4Hajo7UHILetzE1vsRcGL3earZEW77JxrFjH4Ez2qaTiEfMgAXxfAZCm1fvM/G/o8w==",
- "cpu": [
- "x64"
- ],
- "optional": true,
- "os": [
- "sunos"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/@million/lint/node_modules/@esbuild/win32-arm64": {
- "version": "0.20.2",
- "resolved": "https://registry.npmjs.org/@esbuild/win32-arm64/-/win32-arm64-0.20.2.tgz",
- "integrity": "sha512-GRibxoawM9ZCnDxnP3usoUDO9vUkpAxIIZ6GQI+IlVmr5kP3zUq+l17xELTHMWTWzjxa2guPNyrpq1GWmPvcGQ==",
- "cpu": [
- "arm64"
- ],
- "optional": true,
- "os": [
- "win32"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/@million/lint/node_modules/@esbuild/win32-ia32": {
- "version": "0.20.2",
- "resolved": "https://registry.npmjs.org/@esbuild/win32-ia32/-/win32-ia32-0.20.2.tgz",
- "integrity": "sha512-HfLOfn9YWmkSKRQqovpnITazdtquEW8/SoHW7pWpuEeguaZI4QnCRW6b+oZTztdBnZOS2hqJ6im/D5cPzBTTlQ==",
- "cpu": [
- "ia32"
- ],
- "optional": true,
- "os": [
- "win32"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/@million/lint/node_modules/@esbuild/win32-x64": {
- "version": "0.20.2",
- "resolved": "https://registry.npmjs.org/@esbuild/win32-x64/-/win32-x64-0.20.2.tgz",
- "integrity": "sha512-N49X4lJX27+l9jbLKSqZ6bKNjzQvHaT8IIFUy+YIqmXQdjYCToGWwOItDrfby14c78aDd5NHQl29xingXfCdLQ==",
- "cpu": [
- "x64"
- ],
- "optional": true,
- "os": [
- "win32"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/@million/lint/node_modules/@radix-ui/primitive": {
- "version": "1.0.0",
- "resolved": "https://registry.npmjs.org/@radix-ui/primitive/-/primitive-1.0.0.tgz",
- "integrity": "sha512-3e7rn8FDMin4CgeL7Z/49smCA3rFYY3Ha2rUQ7HRWFadS5iCRw08ZgVT1LaNTCNqgvrUiyczLflrVrF0SRQtNA==",
- "dependencies": {
- "@babel/runtime": "^7.13.10"
- }
- },
- "node_modules/@million/lint/node_modules/@radix-ui/react-compose-refs": {
- "version": "1.0.0",
- "resolved": "https://registry.npmjs.org/@radix-ui/react-compose-refs/-/react-compose-refs-1.0.0.tgz",
- "integrity": "sha512-0KaSv6sx787/hK3eF53iOkiSLwAGlFMx5lotrqD2pTjB18KbybKoEIgkNZTKC60YECDQTKGTRcDBILwZVqVKvA==",
- "dependencies": {
- "@babel/runtime": "^7.13.10"
- },
- "peerDependencies": {
- "react": "^16.8 || ^17.0 || ^18.0"
- }
- },
- "node_modules/@million/lint/node_modules/@radix-ui/react-context": {
- "version": "1.0.0",
- "resolved": "https://registry.npmjs.org/@radix-ui/react-context/-/react-context-1.0.0.tgz",
- "integrity": "sha512-1pVM9RfOQ+n/N5PJK33kRSKsr1glNxomxONs5c49MliinBY6Yw2Q995qfBUUo0/Mbg05B/sGA0gkgPI7kmSHBg==",
- "dependencies": {
- "@babel/runtime": "^7.13.10"
- },
- "peerDependencies": {
- "react": "^16.8 || ^17.0 || ^18.0"
- }
- },
- "node_modules/@million/lint/node_modules/@radix-ui/react-dismissable-layer": {
- "version": "1.0.0",
- "resolved": "https://registry.npmjs.org/@radix-ui/react-dismissable-layer/-/react-dismissable-layer-1.0.0.tgz",
- "integrity": "sha512-n7kDRfx+LB1zLueRDvZ1Pd0bxdJWDUZNQ/GWoxDn2prnuJKRdxsjulejX/ePkOsLi2tTm6P24mDqlMSgQpsT6g==",
- "dependencies": {
- "@babel/runtime": "^7.13.10",
- "@radix-ui/primitive": "1.0.0",
- "@radix-ui/react-compose-refs": "1.0.0",
- "@radix-ui/react-primitive": "1.0.0",
- "@radix-ui/react-use-callback-ref": "1.0.0",
- "@radix-ui/react-use-escape-keydown": "1.0.0"
- },
- "peerDependencies": {
- "react": "^16.8 || ^17.0 || ^18.0",
- "react-dom": "^16.8 || ^17.0 || ^18.0"
- }
- },
- "node_modules/@million/lint/node_modules/@radix-ui/react-focus-guards": {
- "version": "1.0.0",
- "resolved": "https://registry.npmjs.org/@radix-ui/react-focus-guards/-/react-focus-guards-1.0.0.tgz",
- "integrity": "sha512-UagjDk4ijOAnGu4WMUPj9ahi7/zJJqNZ9ZAiGPp7waUWJO0O1aWXi/udPphI0IUjvrhBsZJGSN66dR2dsueLWQ==",
- "dependencies": {
- "@babel/runtime": "^7.13.10"
- },
- "peerDependencies": {
- "react": "^16.8 || ^17.0 || ^18.0"
- }
- },
- "node_modules/@million/lint/node_modules/@radix-ui/react-focus-scope": {
- "version": "1.0.0",
- "resolved": "https://registry.npmjs.org/@radix-ui/react-focus-scope/-/react-focus-scope-1.0.0.tgz",
- "integrity": "sha512-C4SWtsULLGf/2L4oGeIHlvWQx7Rf+7cX/vKOAD2dXW0A1b5QXwi3wWeaEgW+wn+SEVrraMUk05vLU9fZZz5HbQ==",
- "dependencies": {
- "@babel/runtime": "^7.13.10",
- "@radix-ui/react-compose-refs": "1.0.0",
- "@radix-ui/react-primitive": "1.0.0",
- "@radix-ui/react-use-callback-ref": "1.0.0"
- },
- "peerDependencies": {
- "react": "^16.8 || ^17.0 || ^18.0",
- "react-dom": "^16.8 || ^17.0 || ^18.0"
- }
- },
- "node_modules/@million/lint/node_modules/@radix-ui/react-id": {
- "version": "1.0.0",
- "resolved": "https://registry.npmjs.org/@radix-ui/react-id/-/react-id-1.0.0.tgz",
- "integrity": "sha512-Q6iAB/U7Tq3NTolBBQbHTgclPmGWE3OlktGGqrClPozSw4vkQ1DfQAOtzgRPecKsMdJINE05iaoDUG8tRzCBjw==",
- "dependencies": {
- "@babel/runtime": "^7.13.10",
- "@radix-ui/react-use-layout-effect": "1.0.0"
- },
- "peerDependencies": {
- "react": "^16.8 || ^17.0 || ^18.0"
- }
- },
- "node_modules/@million/lint/node_modules/@radix-ui/react-portal": {
- "version": "1.0.0",
- "resolved": "https://registry.npmjs.org/@radix-ui/react-portal/-/react-portal-1.0.0.tgz",
- "integrity": "sha512-a8qyFO/Xb99d8wQdu4o7qnigNjTPG123uADNecz0eX4usnQEj7o+cG4ZX4zkqq98NYekT7UoEQIjxBNWIFuqTA==",
- "dependencies": {
- "@babel/runtime": "^7.13.10",
- "@radix-ui/react-primitive": "1.0.0"
- },
- "peerDependencies": {
- "react": "^16.8 || ^17.0 || ^18.0",
- "react-dom": "^16.8 || ^17.0 || ^18.0"
- }
- },
- "node_modules/@million/lint/node_modules/@radix-ui/react-presence": {
- "version": "1.0.0",
- "resolved": "https://registry.npmjs.org/@radix-ui/react-presence/-/react-presence-1.0.0.tgz",
- "integrity": "sha512-A+6XEvN01NfVWiKu38ybawfHsBjWum42MRPnEuqPsBZ4eV7e/7K321B5VgYMPv3Xx5An6o1/l9ZuDBgmcmWK3w==",
- "dependencies": {
- "@babel/runtime": "^7.13.10",
- "@radix-ui/react-compose-refs": "1.0.0",
- "@radix-ui/react-use-layout-effect": "1.0.0"
- },
- "peerDependencies": {
- "react": "^16.8 || ^17.0 || ^18.0",
- "react-dom": "^16.8 || ^17.0 || ^18.0"
- }
- },
- "node_modules/@million/lint/node_modules/@radix-ui/react-primitive": {
- "version": "1.0.0",
- "resolved": "https://registry.npmjs.org/@radix-ui/react-primitive/-/react-primitive-1.0.0.tgz",
- "integrity": "sha512-EyXe6mnRlHZ8b6f4ilTDrXmkLShICIuOTTj0GX4w1rp+wSxf3+TD05u1UOITC8VsJ2a9nwHvdXtOXEOl0Cw/zQ==",
- "dependencies": {
- "@babel/runtime": "^7.13.10",
- "@radix-ui/react-slot": "1.0.0"
- },
- "peerDependencies": {
- "react": "^16.8 || ^17.0 || ^18.0",
- "react-dom": "^16.8 || ^17.0 || ^18.0"
- }
- },
- "node_modules/@million/lint/node_modules/@radix-ui/react-slot": {
- "version": "1.0.0",
- "resolved": "https://registry.npmjs.org/@radix-ui/react-slot/-/react-slot-1.0.0.tgz",
- "integrity": "sha512-3mrKauI/tWXo1Ll+gN5dHcxDPdm/Df1ufcDLCecn+pnCIVcdWE7CujXo8QaXOWRJyZyQWWbpB8eFwHzWXlv5mQ==",
- "dependencies": {
- "@babel/runtime": "^7.13.10",
- "@radix-ui/react-compose-refs": "1.0.0"
- },
- "peerDependencies": {
- "react": "^16.8 || ^17.0 || ^18.0"
- }
- },
- "node_modules/@million/lint/node_modules/@radix-ui/react-use-callback-ref": {
- "version": "1.0.0",
- "resolved": "https://registry.npmjs.org/@radix-ui/react-use-callback-ref/-/react-use-callback-ref-1.0.0.tgz",
- "integrity": "sha512-GZtyzoHz95Rhs6S63D2t/eqvdFCm7I+yHMLVQheKM7nBD8mbZIt+ct1jz4536MDnaOGKIxynJ8eHTkVGVVkoTg==",
- "dependencies": {
- "@babel/runtime": "^7.13.10"
- },
- "peerDependencies": {
- "react": "^16.8 || ^17.0 || ^18.0"
- }
- },
- "node_modules/@million/lint/node_modules/@radix-ui/react-use-controllable-state": {
- "version": "1.0.0",
- "resolved": "https://registry.npmjs.org/@radix-ui/react-use-controllable-state/-/react-use-controllable-state-1.0.0.tgz",
- "integrity": "sha512-FohDoZvk3mEXh9AWAVyRTYR4Sq7/gavuofglmiXB2g1aKyboUD4YtgWxKj8O5n+Uak52gXQ4wKz5IFST4vtJHg==",
- "dependencies": {
- "@babel/runtime": "^7.13.10",
- "@radix-ui/react-use-callback-ref": "1.0.0"
- },
- "peerDependencies": {
- "react": "^16.8 || ^17.0 || ^18.0"
- }
- },
- "node_modules/@million/lint/node_modules/@radix-ui/react-use-escape-keydown": {
- "version": "1.0.0",
- "resolved": "https://registry.npmjs.org/@radix-ui/react-use-escape-keydown/-/react-use-escape-keydown-1.0.0.tgz",
- "integrity": "sha512-JwfBCUIfhXRxKExgIqGa4CQsiMemo1Xt0W/B4ei3fpzpvPENKpMKQ8mZSB6Acj3ebrAEgi2xiQvcI1PAAodvyg==",
- "dependencies": {
- "@babel/runtime": "^7.13.10",
- "@radix-ui/react-use-callback-ref": "1.0.0"
- },
- "peerDependencies": {
- "react": "^16.8 || ^17.0 || ^18.0"
- }
- },
- "node_modules/@million/lint/node_modules/@radix-ui/react-use-layout-effect": {
- "version": "1.0.0",
- "resolved": "https://registry.npmjs.org/@radix-ui/react-use-layout-effect/-/react-use-layout-effect-1.0.0.tgz",
- "integrity": "sha512-6Tpkq+R6LOlmQb1R5NNETLG0B4YP0wc+klfXafpUCj6JGyaUc8il7/kUZ7m59rGbXGczE9Bs+iz2qloqsZBduQ==",
- "dependencies": {
- "@babel/runtime": "^7.13.10"
- },
- "peerDependencies": {
- "react": "^16.8 || ^17.0 || ^18.0"
- }
- },
- "node_modules/@million/lint/node_modules/cmdk": {
- "version": "0.2.1",
- "resolved": "https://registry.npmjs.org/cmdk/-/cmdk-0.2.1.tgz",
- "integrity": "sha512-U6//9lQ6JvT47+6OF6Gi8BvkxYQ8SCRRSKIJkthIMsFsLZRG0cKvTtuTaefyIKMQb8rvvXy0wGdpTNq/jPtm+g==",
- "dependencies": {
- "@radix-ui/react-dialog": "1.0.0"
- },
- "peerDependencies": {
- "react": "^18.0.0",
- "react-dom": "^18.0.0"
- }
- },
- "node_modules/@million/lint/node_modules/cmdk/node_modules/@radix-ui/react-dialog": {
- "version": "1.0.0",
- "resolved": "https://registry.npmjs.org/@radix-ui/react-dialog/-/react-dialog-1.0.0.tgz",
- "integrity": "sha512-Yn9YU+QlHYLWwV1XfKiqnGVpWYWk6MeBVM6x/bcoyPvxgjQGoeT35482viLPctTMWoMw0PoHgqfSox7Ig+957Q==",
- "dependencies": {
- "@babel/runtime": "^7.13.10",
- "@radix-ui/primitive": "1.0.0",
- "@radix-ui/react-compose-refs": "1.0.0",
- "@radix-ui/react-context": "1.0.0",
- "@radix-ui/react-dismissable-layer": "1.0.0",
- "@radix-ui/react-focus-guards": "1.0.0",
- "@radix-ui/react-focus-scope": "1.0.0",
- "@radix-ui/react-id": "1.0.0",
- "@radix-ui/react-portal": "1.0.0",
- "@radix-ui/react-presence": "1.0.0",
- "@radix-ui/react-primitive": "1.0.0",
- "@radix-ui/react-slot": "1.0.0",
- "@radix-ui/react-use-controllable-state": "1.0.0",
- "aria-hidden": "^1.1.1",
- "react-remove-scroll": "2.5.4"
- },
- "peerDependencies": {
- "react": "^16.8 || ^17.0 || ^18.0",
- "react-dom": "^16.8 || ^17.0 || ^18.0"
- }
- },
- "node_modules/@million/lint/node_modules/esbuild": {
- "version": "0.20.2",
- "resolved": "https://registry.npmjs.org/esbuild/-/esbuild-0.20.2.tgz",
- "integrity": "sha512-WdOOppmUNU+IbZ0PaDiTst80zjnrOkyJNHoKupIcVyU8Lvla3Ugx94VzkQ32Ijqd7UhHJy75gNWDMUekcrSJ6g==",
- "hasInstallScript": true,
- "bin": {
- "esbuild": "bin/esbuild"
- },
- "engines": {
- "node": ">=12"
- },
- "optionalDependencies": {
- "@esbuild/aix-ppc64": "0.20.2",
- "@esbuild/android-arm": "0.20.2",
- "@esbuild/android-arm64": "0.20.2",
- "@esbuild/android-x64": "0.20.2",
- "@esbuild/darwin-arm64": "0.20.2",
- "@esbuild/darwin-x64": "0.20.2",
- "@esbuild/freebsd-arm64": "0.20.2",
- "@esbuild/freebsd-x64": "0.20.2",
- "@esbuild/linux-arm": "0.20.2",
- "@esbuild/linux-arm64": "0.20.2",
- "@esbuild/linux-ia32": "0.20.2",
- "@esbuild/linux-loong64": "0.20.2",
- "@esbuild/linux-mips64el": "0.20.2",
- "@esbuild/linux-ppc64": "0.20.2",
- "@esbuild/linux-riscv64": "0.20.2",
- "@esbuild/linux-s390x": "0.20.2",
- "@esbuild/linux-x64": "0.20.2",
- "@esbuild/netbsd-x64": "0.20.2",
- "@esbuild/openbsd-x64": "0.20.2",
- "@esbuild/sunos-x64": "0.20.2",
- "@esbuild/win32-arm64": "0.20.2",
- "@esbuild/win32-ia32": "0.20.2",
- "@esbuild/win32-x64": "0.20.2"
- }
- },
- "node_modules/@million/lint/node_modules/react-remove-scroll": {
- "version": "2.5.4",
- "resolved": "https://registry.npmjs.org/react-remove-scroll/-/react-remove-scroll-2.5.4.tgz",
- "integrity": "sha512-xGVKJJr0SJGQVirVFAUZ2k1QLyO6m+2fy0l8Qawbp5Jgrv3DeLalrfMNBFSlmz5kriGGzsVBtGVnf4pTKIhhWA==",
- "dependencies": {
- "react-remove-scroll-bar": "^2.3.3",
- "react-style-singleton": "^2.2.1",
- "tslib": "^2.1.0",
- "use-callback-ref": "^1.3.0",
- "use-sidecar": "^1.1.2"
- },
- "engines": {
- "node": ">=10"
- },
- "peerDependencies": {
- "@types/react": "^16.8.0 || ^17.0.0 || ^18.0.0",
- "react": "^16.8.0 || ^17.0.0 || ^18.0.0"
- },
- "peerDependenciesMeta": {
- "@types/react": {
- "optional": true
- }
- }
- },
- "node_modules/@mole-inc/bin-wrapper": {
- "version": "8.0.1",
- "resolved": "https://registry.npmjs.org/@mole-inc/bin-wrapper/-/bin-wrapper-8.0.1.tgz",
- "integrity": "sha512-sTGoeZnjI8N4KS+sW2AN95gDBErhAguvkw/tWdCjeM8bvxpz5lqrnd0vOJABA1A+Ic3zED7PYoLP/RANLgVotA==",
- "dev": true,
- "dependencies": {
- "bin-check": "^4.1.0",
- "bin-version-check": "^5.0.0",
- "content-disposition": "^0.5.4",
- "ext-name": "^5.0.0",
- "file-type": "^17.1.6",
- "filenamify": "^5.0.2",
- "got": "^11.8.5",
- "os-filter-obj": "^2.0.0"
- },
- "engines": {
- "node": "^12.20.0 || ^14.13.1 || >=16.0.0"
- }
- },
- "node_modules/@nodelib/fs.scandir": {
- "version": "2.1.5",
- "resolved": "https://registry.npmjs.org/@nodelib/fs.scandir/-/fs.scandir-2.1.5.tgz",
- "integrity": "sha512-vq24Bq3ym5HEQm2NKCr3yXDwjc7vTsEThRDnkp2DK9p1uqLR+DHurm/NOTo0KG7HYHU7eppKZj3MyqYuMBf62g==",
- "dependencies": {
- "@nodelib/fs.stat": "2.0.5",
- "run-parallel": "^1.1.9"
- },
- "engines": {
- "node": ">= 8"
- }
- },
- "node_modules/@nodelib/fs.stat": {
- "version": "2.0.5",
- "resolved": "https://registry.npmjs.org/@nodelib/fs.stat/-/fs.stat-2.0.5.tgz",
- "integrity": "sha512-RkhPPp2zrqDAQA/2jNhnztcPAlv64XdhIp7a7454A5ovI7Bukxgt7MX7udwAu3zg1DcpPU0rz3VV1SeaqvY4+A==",
- "engines": {
- "node": ">= 8"
- }
- },
- "node_modules/@nodelib/fs.walk": {
- "version": "1.2.8",
- "resolved": "https://registry.npmjs.org/@nodelib/fs.walk/-/fs.walk-1.2.8.tgz",
- "integrity": "sha512-oGB+UxlgWcgQkgwo8GcEGwemoTFt3FIO9ababBmaGwXIoBKZ+GTy0pP185beGg7Llih/NSHSV2XAs1lnznocSg==",
- "dependencies": {
- "@nodelib/fs.scandir": "2.1.5",
- "fastq": "^1.6.0"
- },
- "engines": {
- "node": ">= 8"
- }
- },
- "node_modules/@pkgjs/parseargs": {
- "version": "0.11.0",
- "resolved": "https://registry.npmjs.org/@pkgjs/parseargs/-/parseargs-0.11.0.tgz",
- "integrity": "sha512-+1VkjdD0QBLPodGrJUeqarH8VAIvQODIbwh9XpP5Syisf7YoQgsJKPNFoqqLQlu+VQ/tVSshMR6loPMn8U+dPg==",
- "optional": true,
- "engines": {
- "node": ">=14"
- }
- },
- "node_modules/@playwright/test": {
- "version": "1.44.0",
- "resolved": "https://registry.npmjs.org/@playwright/test/-/test-1.44.0.tgz",
- "integrity": "sha512-rNX5lbNidamSUorBhB4XZ9SQTjAqfe5M+p37Z8ic0jPFBMo5iCtQz1kRWkEMg+rYOKSlVycpQmpqjSFq7LXOfg==",
- "dev": true,
- "dependencies": {
- "playwright": "1.44.0"
- },
- "bin": {
- "playwright": "cli.js"
- },
- "engines": {
- "node": ">=16"
- }
- },
- "node_modules/@radix-ui/number": {
- "version": "1.0.1",
- "resolved": "https://registry.npmjs.org/@radix-ui/number/-/number-1.0.1.tgz",
- "integrity": "sha512-T5gIdVO2mmPW3NNhjNgEP3cqMXjXL9UbO0BzWcXfvdBs+BohbQxvd/K5hSVKmn9/lbTdsQVKbUcP5WLCwvUbBg==",
- "dependencies": {
- "@babel/runtime": "^7.13.10"
- }
- },
- "node_modules/@radix-ui/primitive": {
- "version": "1.0.1",
- "resolved": "https://registry.npmjs.org/@radix-ui/primitive/-/primitive-1.0.1.tgz",
- "integrity": "sha512-yQ8oGX2GVsEYMWGxcovu1uGWPCxV5BFfeeYxqPmuAzUyLT9qmaMXSAhXpb0WrspIeqYzdJpkh2vHModJPgRIaw==",
- "dependencies": {
- "@babel/runtime": "^7.13.10"
- }
- },
- "node_modules/@radix-ui/react-accordion": {
- "version": "1.1.2",
- "resolved": "https://registry.npmjs.org/@radix-ui/react-accordion/-/react-accordion-1.1.2.tgz",
- "integrity": "sha512-fDG7jcoNKVjSK6yfmuAs0EnPDro0WMXIhMtXdTBWqEioVW206ku+4Lw07e+13lUkFkpoEQ2PdeMIAGpdqEAmDg==",
- "dependencies": {
- "@babel/runtime": "^7.13.10",
- "@radix-ui/primitive": "1.0.1",
- "@radix-ui/react-collapsible": "1.0.3",
- "@radix-ui/react-collection": "1.0.3",
- "@radix-ui/react-compose-refs": "1.0.1",
- "@radix-ui/react-context": "1.0.1",
- "@radix-ui/react-direction": "1.0.1",
- "@radix-ui/react-id": "1.0.1",
- "@radix-ui/react-primitive": "1.0.3",
- "@radix-ui/react-use-controllable-state": "1.0.1"
- },
- "peerDependencies": {
- "@types/react": "*",
- "@types/react-dom": "*",
- "react": "^16.8 || ^17.0 || ^18.0",
- "react-dom": "^16.8 || ^17.0 || ^18.0"
- },
- "peerDependenciesMeta": {
- "@types/react": {
- "optional": true
- },
- "@types/react-dom": {
- "optional": true
- }
- }
- },
- "node_modules/@radix-ui/react-arrow": {
- "version": "1.0.3",
- "resolved": "https://registry.npmjs.org/@radix-ui/react-arrow/-/react-arrow-1.0.3.tgz",
- "integrity": "sha512-wSP+pHsB/jQRaL6voubsQ/ZlrGBHHrOjmBnr19hxYgtS0WvAFwZhK2WP/YY5yF9uKECCEEDGxuLxq1NBK51wFA==",
- "dependencies": {
- "@babel/runtime": "^7.13.10",
- "@radix-ui/react-primitive": "1.0.3"
- },
- "peerDependencies": {
- "@types/react": "*",
- "@types/react-dom": "*",
- "react": "^16.8 || ^17.0 || ^18.0",
- "react-dom": "^16.8 || ^17.0 || ^18.0"
- },
- "peerDependenciesMeta": {
- "@types/react": {
- "optional": true
- },
- "@types/react-dom": {
- "optional": true
- }
- }
- },
- "node_modules/@radix-ui/react-checkbox": {
- "version": "1.0.4",
- "resolved": "https://registry.npmjs.org/@radix-ui/react-checkbox/-/react-checkbox-1.0.4.tgz",
- "integrity": "sha512-CBuGQa52aAYnADZVt/KBQzXrwx6TqnlwtcIPGtVt5JkkzQwMOLJjPukimhfKEr4GQNd43C+djUh5Ikopj8pSLg==",
- "dependencies": {
- "@babel/runtime": "^7.13.10",
- "@radix-ui/primitive": "1.0.1",
- "@radix-ui/react-compose-refs": "1.0.1",
- "@radix-ui/react-context": "1.0.1",
- "@radix-ui/react-presence": "1.0.1",
- "@radix-ui/react-primitive": "1.0.3",
- "@radix-ui/react-use-controllable-state": "1.0.1",
- "@radix-ui/react-use-previous": "1.0.1",
- "@radix-ui/react-use-size": "1.0.1"
- },
- "peerDependencies": {
- "@types/react": "*",
- "@types/react-dom": "*",
- "react": "^16.8 || ^17.0 || ^18.0",
- "react-dom": "^16.8 || ^17.0 || ^18.0"
- },
- "peerDependenciesMeta": {
- "@types/react": {
- "optional": true
- },
- "@types/react-dom": {
- "optional": true
- }
- }
- },
- "node_modules/@radix-ui/react-collapsible": {
- "version": "1.0.3",
- "resolved": "https://registry.npmjs.org/@radix-ui/react-collapsible/-/react-collapsible-1.0.3.tgz",
- "integrity": "sha512-UBmVDkmR6IvDsloHVN+3rtx4Mi5TFvylYXpluuv0f37dtaz3H99bp8No0LGXRigVpl3UAT4l9j6bIchh42S/Gg==",
- "dependencies": {
- "@babel/runtime": "^7.13.10",
- "@radix-ui/primitive": "1.0.1",
- "@radix-ui/react-compose-refs": "1.0.1",
- "@radix-ui/react-context": "1.0.1",
- "@radix-ui/react-id": "1.0.1",
- "@radix-ui/react-presence": "1.0.1",
- "@radix-ui/react-primitive": "1.0.3",
- "@radix-ui/react-use-controllable-state": "1.0.1",
- "@radix-ui/react-use-layout-effect": "1.0.1"
- },
- "peerDependencies": {
- "@types/react": "*",
- "@types/react-dom": "*",
- "react": "^16.8 || ^17.0 || ^18.0",
- "react-dom": "^16.8 || ^17.0 || ^18.0"
- },
- "peerDependenciesMeta": {
- "@types/react": {
- "optional": true
- },
- "@types/react-dom": {
- "optional": true
- }
- }
- },
- "node_modules/@radix-ui/react-collection": {
- "version": "1.0.3",
- "resolved": "https://registry.npmjs.org/@radix-ui/react-collection/-/react-collection-1.0.3.tgz",
- "integrity": "sha512-3SzW+0PW7yBBoQlT8wNcGtaxaD0XSu0uLUFgrtHY08Acx05TaHaOmVLR73c0j/cqpDy53KBMO7s0dx2wmOIDIA==",
- "dependencies": {
- "@babel/runtime": "^7.13.10",
- "@radix-ui/react-compose-refs": "1.0.1",
- "@radix-ui/react-context": "1.0.1",
- "@radix-ui/react-primitive": "1.0.3",
- "@radix-ui/react-slot": "1.0.2"
- },
- "peerDependencies": {
- "@types/react": "*",
- "@types/react-dom": "*",
- "react": "^16.8 || ^17.0 || ^18.0",
- "react-dom": "^16.8 || ^17.0 || ^18.0"
- },
- "peerDependenciesMeta": {
- "@types/react": {
- "optional": true
- },
- "@types/react-dom": {
- "optional": true
- }
- }
- },
- "node_modules/@radix-ui/react-compose-refs": {
- "version": "1.0.1",
- "resolved": "https://registry.npmjs.org/@radix-ui/react-compose-refs/-/react-compose-refs-1.0.1.tgz",
- "integrity": "sha512-fDSBgd44FKHa1FRMU59qBMPFcl2PZE+2nmqunj+BWFyYYjnhIDWL2ItDs3rrbJDQOtzt5nIebLCQc4QRfz6LJw==",
- "dependencies": {
- "@babel/runtime": "^7.13.10"
- },
- "peerDependencies": {
- "@types/react": "*",
- "react": "^16.8 || ^17.0 || ^18.0"
- },
- "peerDependenciesMeta": {
- "@types/react": {
- "optional": true
- }
- }
- },
- "node_modules/@radix-ui/react-context": {
- "version": "1.0.1",
- "resolved": "https://registry.npmjs.org/@radix-ui/react-context/-/react-context-1.0.1.tgz",
- "integrity": "sha512-ebbrdFoYTcuZ0v4wG5tedGnp9tzcV8awzsxYph7gXUyvnNLuTIcCk1q17JEbnVhXAKG9oX3KtchwiMIAYp9NLg==",
- "dependencies": {
- "@babel/runtime": "^7.13.10"
- },
- "peerDependencies": {
- "@types/react": "*",
- "react": "^16.8 || ^17.0 || ^18.0"
- },
- "peerDependenciesMeta": {
- "@types/react": {
- "optional": true
- }
- }
- },
- "node_modules/@radix-ui/react-dialog": {
- "version": "1.0.5",
- "resolved": "https://registry.npmjs.org/@radix-ui/react-dialog/-/react-dialog-1.0.5.tgz",
- "integrity": "sha512-GjWJX/AUpB703eEBanuBnIWdIXg6NvJFCXcNlSZk4xdszCdhrJgBoUd1cGk67vFO+WdA2pfI/plOpqz/5GUP6Q==",
- "dependencies": {
- "@babel/runtime": "^7.13.10",
- "@radix-ui/primitive": "1.0.1",
- "@radix-ui/react-compose-refs": "1.0.1",
- "@radix-ui/react-context": "1.0.1",
- "@radix-ui/react-dismissable-layer": "1.0.5",
- "@radix-ui/react-focus-guards": "1.0.1",
- "@radix-ui/react-focus-scope": "1.0.4",
- "@radix-ui/react-id": "1.0.1",
- "@radix-ui/react-portal": "1.0.4",
- "@radix-ui/react-presence": "1.0.1",
- "@radix-ui/react-primitive": "1.0.3",
- "@radix-ui/react-slot": "1.0.2",
- "@radix-ui/react-use-controllable-state": "1.0.1",
- "aria-hidden": "^1.1.1",
- "react-remove-scroll": "2.5.5"
- },
- "peerDependencies": {
- "@types/react": "*",
- "@types/react-dom": "*",
- "react": "^16.8 || ^17.0 || ^18.0",
- "react-dom": "^16.8 || ^17.0 || ^18.0"
- },
- "peerDependenciesMeta": {
- "@types/react": {
- "optional": true
- },
- "@types/react-dom": {
- "optional": true
- }
- }
- },
- "node_modules/@radix-ui/react-direction": {
- "version": "1.0.1",
- "resolved": "https://registry.npmjs.org/@radix-ui/react-direction/-/react-direction-1.0.1.tgz",
- "integrity": "sha512-RXcvnXgyvYvBEOhCBuddKecVkoMiI10Jcm5cTI7abJRAHYfFxeu+FBQs/DvdxSYucxR5mna0dNsL6QFlds5TMA==",
- "dependencies": {
- "@babel/runtime": "^7.13.10"
- },
- "peerDependencies": {
- "@types/react": "*",
- "react": "^16.8 || ^17.0 || ^18.0"
- },
- "peerDependenciesMeta": {
- "@types/react": {
- "optional": true
- }
- }
- },
- "node_modules/@radix-ui/react-dismissable-layer": {
- "version": "1.0.5",
- "resolved": "https://registry.npmjs.org/@radix-ui/react-dismissable-layer/-/react-dismissable-layer-1.0.5.tgz",
- "integrity": "sha512-aJeDjQhywg9LBu2t/At58hCvr7pEm0o2Ke1x33B+MhjNmmZ17sy4KImo0KPLgsnc/zN7GPdce8Cnn0SWvwZO7g==",
- "dependencies": {
- "@babel/runtime": "^7.13.10",
- "@radix-ui/primitive": "1.0.1",
- "@radix-ui/react-compose-refs": "1.0.1",
- "@radix-ui/react-primitive": "1.0.3",
- "@radix-ui/react-use-callback-ref": "1.0.1",
- "@radix-ui/react-use-escape-keydown": "1.0.3"
- },
- "peerDependencies": {
- "@types/react": "*",
- "@types/react-dom": "*",
- "react": "^16.8 || ^17.0 || ^18.0",
- "react-dom": "^16.8 || ^17.0 || ^18.0"
- },
- "peerDependenciesMeta": {
- "@types/react": {
- "optional": true
- },
- "@types/react-dom": {
- "optional": true
- }
- }
- },
- "node_modules/@radix-ui/react-dropdown-menu": {
- "version": "2.0.6",
- "resolved": "https://registry.npmjs.org/@radix-ui/react-dropdown-menu/-/react-dropdown-menu-2.0.6.tgz",
- "integrity": "sha512-i6TuFOoWmLWq+M/eCLGd/bQ2HfAX1RJgvrBQ6AQLmzfvsLdefxbWu8G9zczcPFfcSPehz9GcpF6K9QYreFV8hA==",
- "dependencies": {
- "@babel/runtime": "^7.13.10",
- "@radix-ui/primitive": "1.0.1",
- "@radix-ui/react-compose-refs": "1.0.1",
- "@radix-ui/react-context": "1.0.1",
- "@radix-ui/react-id": "1.0.1",
- "@radix-ui/react-menu": "2.0.6",
- "@radix-ui/react-primitive": "1.0.3",
- "@radix-ui/react-use-controllable-state": "1.0.1"
- },
- "peerDependencies": {
- "@types/react": "*",
- "@types/react-dom": "*",
- "react": "^16.8 || ^17.0 || ^18.0",
- "react-dom": "^16.8 || ^17.0 || ^18.0"
- },
- "peerDependenciesMeta": {
- "@types/react": {
- "optional": true
- },
- "@types/react-dom": {
- "optional": true
- }
- }
- },
- "node_modules/@radix-ui/react-focus-guards": {
- "version": "1.0.1",
- "resolved": "https://registry.npmjs.org/@radix-ui/react-focus-guards/-/react-focus-guards-1.0.1.tgz",
- "integrity": "sha512-Rect2dWbQ8waGzhMavsIbmSVCgYxkXLxxR3ZvCX79JOglzdEy4JXMb98lq4hPxUbLr77nP0UOGf4rcMU+s1pUA==",
- "dependencies": {
- "@babel/runtime": "^7.13.10"
- },
- "peerDependencies": {
- "@types/react": "*",
- "react": "^16.8 || ^17.0 || ^18.0"
- },
- "peerDependenciesMeta": {
- "@types/react": {
- "optional": true
- }
- }
- },
- "node_modules/@radix-ui/react-focus-scope": {
- "version": "1.0.4",
- "resolved": "https://registry.npmjs.org/@radix-ui/react-focus-scope/-/react-focus-scope-1.0.4.tgz",
- "integrity": "sha512-sL04Mgvf+FmyvZeYfNu1EPAaaxD+aw7cYeIB9L9Fvq8+urhltTRaEo5ysKOpHuKPclsZcSUMKlN05x4u+CINpA==",
- "dependencies": {
- "@babel/runtime": "^7.13.10",
- "@radix-ui/react-compose-refs": "1.0.1",
- "@radix-ui/react-primitive": "1.0.3",
- "@radix-ui/react-use-callback-ref": "1.0.1"
- },
- "peerDependencies": {
- "@types/react": "*",
- "@types/react-dom": "*",
- "react": "^16.8 || ^17.0 || ^18.0",
- "react-dom": "^16.8 || ^17.0 || ^18.0"
- },
- "peerDependenciesMeta": {
- "@types/react": {
- "optional": true
- },
- "@types/react-dom": {
- "optional": true
- }
- }
- },
- "node_modules/@radix-ui/react-form": {
- "version": "0.0.3",
- "resolved": "https://registry.npmjs.org/@radix-ui/react-form/-/react-form-0.0.3.tgz",
- "integrity": "sha512-kgE+Z/haV6fxE5WqIXj05KkaXa3OkZASoTDy25yX2EIp/x0c54rOH/vFr5nOZTg7n7T1z8bSyXmiVIFP9bbhPQ==",
- "dependencies": {
- "@babel/runtime": "^7.13.10",
- "@radix-ui/primitive": "1.0.1",
- "@radix-ui/react-compose-refs": "1.0.1",
- "@radix-ui/react-context": "1.0.1",
- "@radix-ui/react-id": "1.0.1",
- "@radix-ui/react-label": "2.0.2",
- "@radix-ui/react-primitive": "1.0.3"
- },
- "peerDependencies": {
- "@types/react": "*",
- "@types/react-dom": "*",
- "react": "^16.8 || ^17.0 || ^18.0",
- "react-dom": "^16.8 || ^17.0 || ^18.0"
- },
- "peerDependenciesMeta": {
- "@types/react": {
- "optional": true
- },
- "@types/react-dom": {
- "optional": true
- }
- }
- },
- "node_modules/@radix-ui/react-icons": {
- "version": "1.3.0",
- "resolved": "https://registry.npmjs.org/@radix-ui/react-icons/-/react-icons-1.3.0.tgz",
- "integrity": "sha512-jQxj/0LKgp+j9BiTXz3O3sgs26RNet2iLWmsPyRz2SIcR4q/4SbazXfnYwbAr+vLYKSfc7qxzyGQA1HLlYiuNw==",
- "peerDependencies": {
- "react": "^16.x || ^17.x || ^18.x"
- }
- },
- "node_modules/@radix-ui/react-id": {
- "version": "1.0.1",
- "resolved": "https://registry.npmjs.org/@radix-ui/react-id/-/react-id-1.0.1.tgz",
- "integrity": "sha512-tI7sT/kqYp8p96yGWY1OAnLHrqDgzHefRBKQ2YAkBS5ja7QLcZ9Z/uY7bEjPUatf8RomoXM8/1sMj1IJaE5UzQ==",
- "dependencies": {
- "@babel/runtime": "^7.13.10",
- "@radix-ui/react-use-layout-effect": "1.0.1"
- },
- "peerDependencies": {
- "@types/react": "*",
- "react": "^16.8 || ^17.0 || ^18.0"
- },
- "peerDependenciesMeta": {
- "@types/react": {
- "optional": true
- }
- }
- },
- "node_modules/@radix-ui/react-label": {
- "version": "2.0.2",
- "resolved": "https://registry.npmjs.org/@radix-ui/react-label/-/react-label-2.0.2.tgz",
- "integrity": "sha512-N5ehvlM7qoTLx7nWPodsPYPgMzA5WM8zZChQg8nyFJKnDO5WHdba1vv5/H6IO5LtJMfD2Q3wh1qHFGNtK0w3bQ==",
- "dependencies": {
- "@babel/runtime": "^7.13.10",
- "@radix-ui/react-primitive": "1.0.3"
- },
- "peerDependencies": {
- "@types/react": "*",
- "@types/react-dom": "*",
- "react": "^16.8 || ^17.0 || ^18.0",
- "react-dom": "^16.8 || ^17.0 || ^18.0"
- },
- "peerDependenciesMeta": {
- "@types/react": {
- "optional": true
- },
- "@types/react-dom": {
- "optional": true
- }
- }
- },
- "node_modules/@radix-ui/react-menu": {
- "version": "2.0.6",
- "resolved": "https://registry.npmjs.org/@radix-ui/react-menu/-/react-menu-2.0.6.tgz",
- "integrity": "sha512-BVkFLS+bUC8HcImkRKPSiVumA1VPOOEC5WBMiT+QAVsPzW1FJzI9KnqgGxVDPBcql5xXrHkD3JOVoXWEXD8SYA==",
- "dependencies": {
- "@babel/runtime": "^7.13.10",
- "@radix-ui/primitive": "1.0.1",
- "@radix-ui/react-collection": "1.0.3",
- "@radix-ui/react-compose-refs": "1.0.1",
- "@radix-ui/react-context": "1.0.1",
- "@radix-ui/react-direction": "1.0.1",
- "@radix-ui/react-dismissable-layer": "1.0.5",
- "@radix-ui/react-focus-guards": "1.0.1",
- "@radix-ui/react-focus-scope": "1.0.4",
- "@radix-ui/react-id": "1.0.1",
- "@radix-ui/react-popper": "1.1.3",
- "@radix-ui/react-portal": "1.0.4",
- "@radix-ui/react-presence": "1.0.1",
- "@radix-ui/react-primitive": "1.0.3",
- "@radix-ui/react-roving-focus": "1.0.4",
- "@radix-ui/react-slot": "1.0.2",
- "@radix-ui/react-use-callback-ref": "1.0.1",
- "aria-hidden": "^1.1.1",
- "react-remove-scroll": "2.5.5"
- },
- "peerDependencies": {
- "@types/react": "*",
- "@types/react-dom": "*",
- "react": "^16.8 || ^17.0 || ^18.0",
- "react-dom": "^16.8 || ^17.0 || ^18.0"
- },
- "peerDependenciesMeta": {
- "@types/react": {
- "optional": true
- },
- "@types/react-dom": {
- "optional": true
- }
- }
- },
- "node_modules/@radix-ui/react-menubar": {
- "version": "1.0.4",
- "resolved": "https://registry.npmjs.org/@radix-ui/react-menubar/-/react-menubar-1.0.4.tgz",
- "integrity": "sha512-bHgUo9gayKZfaQcWSSLr++LyS0rgh+MvD89DE4fJ6TkGHvjHgPaBZf44hdka7ogOxIOdj9163J+5xL2Dn4qzzg==",
- "dependencies": {
- "@babel/runtime": "^7.13.10",
- "@radix-ui/primitive": "1.0.1",
- "@radix-ui/react-collection": "1.0.3",
- "@radix-ui/react-compose-refs": "1.0.1",
- "@radix-ui/react-context": "1.0.1",
- "@radix-ui/react-direction": "1.0.1",
- "@radix-ui/react-id": "1.0.1",
- "@radix-ui/react-menu": "2.0.6",
- "@radix-ui/react-primitive": "1.0.3",
- "@radix-ui/react-roving-focus": "1.0.4",
- "@radix-ui/react-use-controllable-state": "1.0.1"
- },
- "peerDependencies": {
- "@types/react": "*",
- "@types/react-dom": "*",
- "react": "^16.8 || ^17.0 || ^18.0",
- "react-dom": "^16.8 || ^17.0 || ^18.0"
- },
- "peerDependenciesMeta": {
- "@types/react": {
- "optional": true
- },
- "@types/react-dom": {
- "optional": true
- }
- }
- },
- "node_modules/@radix-ui/react-popover": {
- "version": "1.0.7",
- "resolved": "https://registry.npmjs.org/@radix-ui/react-popover/-/react-popover-1.0.7.tgz",
- "integrity": "sha512-shtvVnlsxT6faMnK/a7n0wptwBD23xc1Z5mdrtKLwVEfsEMXodS0r5s0/g5P0hX//EKYZS2sxUjqfzlg52ZSnQ==",
- "dependencies": {
- "@babel/runtime": "^7.13.10",
- "@radix-ui/primitive": "1.0.1",
- "@radix-ui/react-compose-refs": "1.0.1",
- "@radix-ui/react-context": "1.0.1",
- "@radix-ui/react-dismissable-layer": "1.0.5",
- "@radix-ui/react-focus-guards": "1.0.1",
- "@radix-ui/react-focus-scope": "1.0.4",
- "@radix-ui/react-id": "1.0.1",
- "@radix-ui/react-popper": "1.1.3",
- "@radix-ui/react-portal": "1.0.4",
- "@radix-ui/react-presence": "1.0.1",
- "@radix-ui/react-primitive": "1.0.3",
- "@radix-ui/react-slot": "1.0.2",
- "@radix-ui/react-use-controllable-state": "1.0.1",
- "aria-hidden": "^1.1.1",
- "react-remove-scroll": "2.5.5"
- },
- "peerDependencies": {
- "@types/react": "*",
- "@types/react-dom": "*",
- "react": "^16.8 || ^17.0 || ^18.0",
- "react-dom": "^16.8 || ^17.0 || ^18.0"
- },
- "peerDependenciesMeta": {
- "@types/react": {
- "optional": true
- },
- "@types/react-dom": {
- "optional": true
- }
- }
- },
- "node_modules/@radix-ui/react-popper": {
- "version": "1.1.3",
- "resolved": "https://registry.npmjs.org/@radix-ui/react-popper/-/react-popper-1.1.3.tgz",
- "integrity": "sha512-cKpopj/5RHZWjrbF2846jBNacjQVwkP068DfmgrNJXpvVWrOvlAmE9xSiy5OqeE+Gi8D9fP+oDhUnPqNMY8/5w==",
- "dependencies": {
- "@babel/runtime": "^7.13.10",
- "@floating-ui/react-dom": "^2.0.0",
- "@radix-ui/react-arrow": "1.0.3",
- "@radix-ui/react-compose-refs": "1.0.1",
- "@radix-ui/react-context": "1.0.1",
- "@radix-ui/react-primitive": "1.0.3",
- "@radix-ui/react-use-callback-ref": "1.0.1",
- "@radix-ui/react-use-layout-effect": "1.0.1",
- "@radix-ui/react-use-rect": "1.0.1",
- "@radix-ui/react-use-size": "1.0.1",
- "@radix-ui/rect": "1.0.1"
- },
- "peerDependencies": {
- "@types/react": "*",
- "@types/react-dom": "*",
- "react": "^16.8 || ^17.0 || ^18.0",
- "react-dom": "^16.8 || ^17.0 || ^18.0"
- },
- "peerDependenciesMeta": {
- "@types/react": {
- "optional": true
- },
- "@types/react-dom": {
- "optional": true
- }
- }
- },
- "node_modules/@radix-ui/react-portal": {
- "version": "1.0.4",
- "resolved": "https://registry.npmjs.org/@radix-ui/react-portal/-/react-portal-1.0.4.tgz",
- "integrity": "sha512-Qki+C/EuGUVCQTOTD5vzJzJuMUlewbzuKyUy+/iHM2uwGiru9gZeBJtHAPKAEkB5KWGi9mP/CHKcY0wt1aW45Q==",
- "dependencies": {
- "@babel/runtime": "^7.13.10",
- "@radix-ui/react-primitive": "1.0.3"
- },
- "peerDependencies": {
- "@types/react": "*",
- "@types/react-dom": "*",
- "react": "^16.8 || ^17.0 || ^18.0",
- "react-dom": "^16.8 || ^17.0 || ^18.0"
- },
- "peerDependenciesMeta": {
- "@types/react": {
- "optional": true
- },
- "@types/react-dom": {
- "optional": true
- }
- }
- },
- "node_modules/@radix-ui/react-presence": {
- "version": "1.0.1",
- "resolved": "https://registry.npmjs.org/@radix-ui/react-presence/-/react-presence-1.0.1.tgz",
- "integrity": "sha512-UXLW4UAbIY5ZjcvzjfRFo5gxva8QirC9hF7wRE4U5gz+TP0DbRk+//qyuAQ1McDxBt1xNMBTaciFGvEmJvAZCg==",
- "dependencies": {
- "@babel/runtime": "^7.13.10",
- "@radix-ui/react-compose-refs": "1.0.1",
- "@radix-ui/react-use-layout-effect": "1.0.1"
- },
- "peerDependencies": {
- "@types/react": "*",
- "@types/react-dom": "*",
- "react": "^16.8 || ^17.0 || ^18.0",
- "react-dom": "^16.8 || ^17.0 || ^18.0"
- },
- "peerDependenciesMeta": {
- "@types/react": {
- "optional": true
- },
- "@types/react-dom": {
- "optional": true
- }
- }
- },
- "node_modules/@radix-ui/react-primitive": {
- "version": "1.0.3",
- "resolved": "https://registry.npmjs.org/@radix-ui/react-primitive/-/react-primitive-1.0.3.tgz",
- "integrity": "sha512-yi58uVyoAcK/Nq1inRY56ZSjKypBNKTa/1mcL8qdl6oJeEaDbOldlzrGn7P6Q3Id5d+SYNGc5AJgc4vGhjs5+g==",
- "dependencies": {
- "@babel/runtime": "^7.13.10",
- "@radix-ui/react-slot": "1.0.2"
- },
- "peerDependencies": {
- "@types/react": "*",
- "@types/react-dom": "*",
- "react": "^16.8 || ^17.0 || ^18.0",
- "react-dom": "^16.8 || ^17.0 || ^18.0"
- },
- "peerDependenciesMeta": {
- "@types/react": {
- "optional": true
- },
- "@types/react-dom": {
- "optional": true
- }
- }
- },
- "node_modules/@radix-ui/react-progress": {
- "version": "1.0.3",
- "resolved": "https://registry.npmjs.org/@radix-ui/react-progress/-/react-progress-1.0.3.tgz",
- "integrity": "sha512-5G6Om/tYSxjSeEdrb1VfKkfZfn/1IlPWd731h2RfPuSbIfNUgfqAwbKfJCg/PP6nuUCTrYzalwHSpSinoWoCag==",
- "dependencies": {
- "@babel/runtime": "^7.13.10",
- "@radix-ui/react-context": "1.0.1",
- "@radix-ui/react-primitive": "1.0.3"
- },
- "peerDependencies": {
- "@types/react": "*",
- "@types/react-dom": "*",
- "react": "^16.8 || ^17.0 || ^18.0",
- "react-dom": "^16.8 || ^17.0 || ^18.0"
- },
- "peerDependenciesMeta": {
- "@types/react": {
- "optional": true
- },
- "@types/react-dom": {
- "optional": true
- }
- }
- },
- "node_modules/@radix-ui/react-roving-focus": {
- "version": "1.0.4",
- "resolved": "https://registry.npmjs.org/@radix-ui/react-roving-focus/-/react-roving-focus-1.0.4.tgz",
- "integrity": "sha512-2mUg5Mgcu001VkGy+FfzZyzbmuUWzgWkj3rvv4yu+mLw03+mTzbxZHvfcGyFp2b8EkQeMkpRQ5FiA2Vr2O6TeQ==",
- "dependencies": {
- "@babel/runtime": "^7.13.10",
- "@radix-ui/primitive": "1.0.1",
- "@radix-ui/react-collection": "1.0.3",
- "@radix-ui/react-compose-refs": "1.0.1",
- "@radix-ui/react-context": "1.0.1",
- "@radix-ui/react-direction": "1.0.1",
- "@radix-ui/react-id": "1.0.1",
- "@radix-ui/react-primitive": "1.0.3",
- "@radix-ui/react-use-callback-ref": "1.0.1",
- "@radix-ui/react-use-controllable-state": "1.0.1"
- },
- "peerDependencies": {
- "@types/react": "*",
- "@types/react-dom": "*",
- "react": "^16.8 || ^17.0 || ^18.0",
- "react-dom": "^16.8 || ^17.0 || ^18.0"
- },
- "peerDependenciesMeta": {
- "@types/react": {
- "optional": true
- },
- "@types/react-dom": {
- "optional": true
- }
- }
- },
- "node_modules/@radix-ui/react-select": {
- "version": "2.0.0",
- "resolved": "https://registry.npmjs.org/@radix-ui/react-select/-/react-select-2.0.0.tgz",
- "integrity": "sha512-RH5b7af4oHtkcHS7pG6Sgv5rk5Wxa7XI8W5gvB1N/yiuDGZxko1ynvOiVhFM7Cis2A8zxF9bTOUVbRDzPepe6w==",
- "dependencies": {
- "@babel/runtime": "^7.13.10",
- "@radix-ui/number": "1.0.1",
- "@radix-ui/primitive": "1.0.1",
- "@radix-ui/react-collection": "1.0.3",
- "@radix-ui/react-compose-refs": "1.0.1",
- "@radix-ui/react-context": "1.0.1",
- "@radix-ui/react-direction": "1.0.1",
- "@radix-ui/react-dismissable-layer": "1.0.5",
- "@radix-ui/react-focus-guards": "1.0.1",
- "@radix-ui/react-focus-scope": "1.0.4",
- "@radix-ui/react-id": "1.0.1",
- "@radix-ui/react-popper": "1.1.3",
- "@radix-ui/react-portal": "1.0.4",
- "@radix-ui/react-primitive": "1.0.3",
- "@radix-ui/react-slot": "1.0.2",
- "@radix-ui/react-use-callback-ref": "1.0.1",
- "@radix-ui/react-use-controllable-state": "1.0.1",
- "@radix-ui/react-use-layout-effect": "1.0.1",
- "@radix-ui/react-use-previous": "1.0.1",
- "@radix-ui/react-visually-hidden": "1.0.3",
- "aria-hidden": "^1.1.1",
- "react-remove-scroll": "2.5.5"
- },
- "peerDependencies": {
- "@types/react": "*",
- "@types/react-dom": "*",
- "react": "^16.8 || ^17.0 || ^18.0",
- "react-dom": "^16.8 || ^17.0 || ^18.0"
- },
- "peerDependenciesMeta": {
- "@types/react": {
- "optional": true
- },
- "@types/react-dom": {
- "optional": true
- }
- }
- },
- "node_modules/@radix-ui/react-separator": {
- "version": "1.0.3",
- "resolved": "https://registry.npmjs.org/@radix-ui/react-separator/-/react-separator-1.0.3.tgz",
- "integrity": "sha512-itYmTy/kokS21aiV5+Z56MZB54KrhPgn6eHDKkFeOLR34HMN2s8PaN47qZZAGnvupcjxHaFZnW4pQEh0BvvVuw==",
- "dependencies": {
- "@babel/runtime": "^7.13.10",
- "@radix-ui/react-primitive": "1.0.3"
- },
- "peerDependencies": {
- "@types/react": "*",
- "@types/react-dom": "*",
- "react": "^16.8 || ^17.0 || ^18.0",
- "react-dom": "^16.8 || ^17.0 || ^18.0"
- },
- "peerDependenciesMeta": {
- "@types/react": {
- "optional": true
- },
- "@types/react-dom": {
- "optional": true
- }
- }
- },
- "node_modules/@radix-ui/react-slot": {
- "version": "1.0.2",
- "resolved": "https://registry.npmjs.org/@radix-ui/react-slot/-/react-slot-1.0.2.tgz",
- "integrity": "sha512-YeTpuq4deV+6DusvVUW4ivBgnkHwECUu0BiN43L5UCDFgdhsRUWAghhTF5MbvNTPzmiFOx90asDSUjWuCNapwg==",
- "dependencies": {
- "@babel/runtime": "^7.13.10",
- "@radix-ui/react-compose-refs": "1.0.1"
- },
- "peerDependencies": {
- "@types/react": "*",
- "react": "^16.8 || ^17.0 || ^18.0"
- },
- "peerDependenciesMeta": {
- "@types/react": {
- "optional": true
- }
- }
- },
- "node_modules/@radix-ui/react-switch": {
- "version": "1.0.3",
- "resolved": "https://registry.npmjs.org/@radix-ui/react-switch/-/react-switch-1.0.3.tgz",
- "integrity": "sha512-mxm87F88HyHztsI7N+ZUmEoARGkC22YVW5CaC+Byc+HRpuvCrOBPTAnXgf+tZ/7i0Sg/eOePGdMhUKhPaQEqow==",
- "dependencies": {
- "@babel/runtime": "^7.13.10",
- "@radix-ui/primitive": "1.0.1",
- "@radix-ui/react-compose-refs": "1.0.1",
- "@radix-ui/react-context": "1.0.1",
- "@radix-ui/react-primitive": "1.0.3",
- "@radix-ui/react-use-controllable-state": "1.0.1",
- "@radix-ui/react-use-previous": "1.0.1",
- "@radix-ui/react-use-size": "1.0.1"
- },
- "peerDependencies": {
- "@types/react": "*",
- "@types/react-dom": "*",
- "react": "^16.8 || ^17.0 || ^18.0",
- "react-dom": "^16.8 || ^17.0 || ^18.0"
- },
- "peerDependenciesMeta": {
- "@types/react": {
- "optional": true
- },
- "@types/react-dom": {
- "optional": true
- }
- }
- },
- "node_modules/@radix-ui/react-tabs": {
- "version": "1.0.4",
- "resolved": "https://registry.npmjs.org/@radix-ui/react-tabs/-/react-tabs-1.0.4.tgz",
- "integrity": "sha512-egZfYY/+wRNCflXNHx+dePvnz9FbmssDTJBtgRfDY7e8SE5oIo3Py2eCB1ckAbh1Q7cQ/6yJZThJ++sgbxibog==",
- "dependencies": {
- "@babel/runtime": "^7.13.10",
- "@radix-ui/primitive": "1.0.1",
- "@radix-ui/react-context": "1.0.1",
- "@radix-ui/react-direction": "1.0.1",
- "@radix-ui/react-id": "1.0.1",
- "@radix-ui/react-presence": "1.0.1",
- "@radix-ui/react-primitive": "1.0.3",
- "@radix-ui/react-roving-focus": "1.0.4",
- "@radix-ui/react-use-controllable-state": "1.0.1"
- },
- "peerDependencies": {
- "@types/react": "*",
- "@types/react-dom": "*",
- "react": "^16.8 || ^17.0 || ^18.0",
- "react-dom": "^16.8 || ^17.0 || ^18.0"
- },
- "peerDependenciesMeta": {
- "@types/react": {
- "optional": true
- },
- "@types/react-dom": {
- "optional": true
- }
- }
- },
- "node_modules/@radix-ui/react-tooltip": {
- "version": "1.0.7",
- "resolved": "https://registry.npmjs.org/@radix-ui/react-tooltip/-/react-tooltip-1.0.7.tgz",
- "integrity": "sha512-lPh5iKNFVQ/jav/j6ZrWq3blfDJ0OH9R6FlNUHPMqdLuQ9vwDgFsRxvl8b7Asuy5c8xmoojHUxKHQSOAvMHxyw==",
- "dependencies": {
- "@babel/runtime": "^7.13.10",
- "@radix-ui/primitive": "1.0.1",
- "@radix-ui/react-compose-refs": "1.0.1",
- "@radix-ui/react-context": "1.0.1",
- "@radix-ui/react-dismissable-layer": "1.0.5",
- "@radix-ui/react-id": "1.0.1",
- "@radix-ui/react-popper": "1.1.3",
- "@radix-ui/react-portal": "1.0.4",
- "@radix-ui/react-presence": "1.0.1",
- "@radix-ui/react-primitive": "1.0.3",
- "@radix-ui/react-slot": "1.0.2",
- "@radix-ui/react-use-controllable-state": "1.0.1",
- "@radix-ui/react-visually-hidden": "1.0.3"
- },
- "peerDependencies": {
- "@types/react": "*",
- "@types/react-dom": "*",
- "react": "^16.8 || ^17.0 || ^18.0",
- "react-dom": "^16.8 || ^17.0 || ^18.0"
- },
- "peerDependenciesMeta": {
- "@types/react": {
- "optional": true
- },
- "@types/react-dom": {
- "optional": true
- }
- }
- },
- "node_modules/@radix-ui/react-use-callback-ref": {
- "version": "1.0.1",
- "resolved": "https://registry.npmjs.org/@radix-ui/react-use-callback-ref/-/react-use-callback-ref-1.0.1.tgz",
- "integrity": "sha512-D94LjX4Sp0xJFVaoQOd3OO9k7tpBYNOXdVhkltUbGv2Qb9OXdrg/CpsjlZv7ia14Sylv398LswWBVVu5nqKzAQ==",
- "dependencies": {
- "@babel/runtime": "^7.13.10"
- },
- "peerDependencies": {
- "@types/react": "*",
- "react": "^16.8 || ^17.0 || ^18.0"
- },
- "peerDependenciesMeta": {
- "@types/react": {
- "optional": true
- }
- }
- },
- "node_modules/@radix-ui/react-use-controllable-state": {
- "version": "1.0.1",
- "resolved": "https://registry.npmjs.org/@radix-ui/react-use-controllable-state/-/react-use-controllable-state-1.0.1.tgz",
- "integrity": "sha512-Svl5GY5FQeN758fWKrjM6Qb7asvXeiZltlT4U2gVfl8Gx5UAv2sMR0LWo8yhsIZh2oQ0eFdZ59aoOOMV7b47VA==",
- "dependencies": {
- "@babel/runtime": "^7.13.10",
- "@radix-ui/react-use-callback-ref": "1.0.1"
- },
- "peerDependencies": {
- "@types/react": "*",
- "react": "^16.8 || ^17.0 || ^18.0"
- },
- "peerDependenciesMeta": {
- "@types/react": {
- "optional": true
- }
- }
- },
- "node_modules/@radix-ui/react-use-escape-keydown": {
- "version": "1.0.3",
- "resolved": "https://registry.npmjs.org/@radix-ui/react-use-escape-keydown/-/react-use-escape-keydown-1.0.3.tgz",
- "integrity": "sha512-vyL82j40hcFicA+M4Ex7hVkB9vHgSse1ZWomAqV2Je3RleKGO5iM8KMOEtfoSB0PnIelMd2lATjTGMYqN5ylTg==",
- "dependencies": {
- "@babel/runtime": "^7.13.10",
- "@radix-ui/react-use-callback-ref": "1.0.1"
- },
- "peerDependencies": {
- "@types/react": "*",
- "react": "^16.8 || ^17.0 || ^18.0"
- },
- "peerDependenciesMeta": {
- "@types/react": {
- "optional": true
- }
- }
- },
- "node_modules/@radix-ui/react-use-layout-effect": {
- "version": "1.0.1",
- "resolved": "https://registry.npmjs.org/@radix-ui/react-use-layout-effect/-/react-use-layout-effect-1.0.1.tgz",
- "integrity": "sha512-v/5RegiJWYdoCvMnITBkNNx6bCj20fiaJnWtRkU18yITptraXjffz5Qbn05uOiQnOvi+dbkznkoaMltz1GnszQ==",
- "dependencies": {
- "@babel/runtime": "^7.13.10"
- },
- "peerDependencies": {
- "@types/react": "*",
- "react": "^16.8 || ^17.0 || ^18.0"
- },
- "peerDependenciesMeta": {
- "@types/react": {
- "optional": true
- }
- }
- },
- "node_modules/@radix-ui/react-use-previous": {
- "version": "1.0.1",
- "resolved": "https://registry.npmjs.org/@radix-ui/react-use-previous/-/react-use-previous-1.0.1.tgz",
- "integrity": "sha512-cV5La9DPwiQ7S0gf/0qiD6YgNqM5Fk97Kdrlc5yBcrF3jyEZQwm7vYFqMo4IfeHgJXsRaMvLABFtd0OVEmZhDw==",
- "dependencies": {
- "@babel/runtime": "^7.13.10"
- },
- "peerDependencies": {
- "@types/react": "*",
- "react": "^16.8 || ^17.0 || ^18.0"
- },
- "peerDependenciesMeta": {
- "@types/react": {
- "optional": true
- }
- }
- },
- "node_modules/@radix-ui/react-use-rect": {
- "version": "1.0.1",
- "resolved": "https://registry.npmjs.org/@radix-ui/react-use-rect/-/react-use-rect-1.0.1.tgz",
- "integrity": "sha512-Cq5DLuSiuYVKNU8orzJMbl15TXilTnJKUCltMVQg53BQOF1/C5toAaGrowkgksdBQ9H+SRL23g0HDmg9tvmxXw==",
- "dependencies": {
- "@babel/runtime": "^7.13.10",
- "@radix-ui/rect": "1.0.1"
- },
- "peerDependencies": {
- "@types/react": "*",
- "react": "^16.8 || ^17.0 || ^18.0"
- },
- "peerDependenciesMeta": {
- "@types/react": {
- "optional": true
- }
- }
- },
- "node_modules/@radix-ui/react-use-size": {
- "version": "1.0.1",
- "resolved": "https://registry.npmjs.org/@radix-ui/react-use-size/-/react-use-size-1.0.1.tgz",
- "integrity": "sha512-ibay+VqrgcaI6veAojjofPATwledXiSmX+C0KrBk/xgpX9rBzPV3OsfwlhQdUOFbh+LKQorLYT+xTXW9V8yd0g==",
- "dependencies": {
- "@babel/runtime": "^7.13.10",
- "@radix-ui/react-use-layout-effect": "1.0.1"
- },
- "peerDependencies": {
- "@types/react": "*",
- "react": "^16.8 || ^17.0 || ^18.0"
- },
- "peerDependenciesMeta": {
- "@types/react": {
- "optional": true
- }
- }
- },
- "node_modules/@radix-ui/react-visually-hidden": {
- "version": "1.0.3",
- "resolved": "https://registry.npmjs.org/@radix-ui/react-visually-hidden/-/react-visually-hidden-1.0.3.tgz",
- "integrity": "sha512-D4w41yN5YRKtu464TLnByKzMDG/JlMPHtfZgQAu9v6mNakUqGUI9vUrfQKz8NK41VMm/xbZbh76NUTVtIYqOMA==",
- "dependencies": {
- "@babel/runtime": "^7.13.10",
- "@radix-ui/react-primitive": "1.0.3"
- },
- "peerDependencies": {
- "@types/react": "*",
- "@types/react-dom": "*",
- "react": "^16.8 || ^17.0 || ^18.0",
- "react-dom": "^16.8 || ^17.0 || ^18.0"
- },
- "peerDependenciesMeta": {
- "@types/react": {
- "optional": true
- },
- "@types/react-dom": {
- "optional": true
- }
- }
- },
- "node_modules/@radix-ui/rect": {
- "version": "1.0.1",
- "resolved": "https://registry.npmjs.org/@radix-ui/rect/-/rect-1.0.1.tgz",
- "integrity": "sha512-fyrgCaedtvMg9NK3en0pnOYJdtfwxUcNolezkNPUsoX57X8oQk+NkqcvzHXD2uKNij6GXmWU9NDru2IWjrO4BQ==",
- "dependencies": {
- "@babel/runtime": "^7.13.10"
- }
- },
- "node_modules/@reactflow/background": {
- "version": "11.3.13",
- "resolved": "https://registry.npmjs.org/@reactflow/background/-/background-11.3.13.tgz",
- "integrity": "sha512-hkvpVEhgvfTDyCvdlitw4ioKCYLaaiRXnuEG+1QM3Np+7N1DiWF1XOv5I8AFyNoJL07yXEkbECUTsHvkBvcG5A==",
- "dependencies": {
- "@reactflow/core": "11.11.3",
- "classcat": "^5.0.3",
- "zustand": "^4.4.1"
- },
- "peerDependencies": {
- "react": ">=17",
- "react-dom": ">=17"
- }
- },
- "node_modules/@reactflow/controls": {
- "version": "11.2.13",
- "resolved": "https://registry.npmjs.org/@reactflow/controls/-/controls-11.2.13.tgz",
- "integrity": "sha512-3xgEg6ALIVkAQCS4NiBjb7ad8Cb3D8CtA7Vvl4Hf5Ar2PIVs6FOaeft9s2iDZGtsWP35ECDYId1rIFVhQL8r+A==",
- "dependencies": {
- "@reactflow/core": "11.11.3",
- "classcat": "^5.0.3",
- "zustand": "^4.4.1"
- },
- "peerDependencies": {
- "react": ">=17",
- "react-dom": ">=17"
- }
- },
- "node_modules/@reactflow/core": {
- "version": "11.11.3",
- "resolved": "https://registry.npmjs.org/@reactflow/core/-/core-11.11.3.tgz",
- "integrity": "sha512-+adHdUa7fJSEM93fWfjQwyWXeI92a1eLKwWbIstoCakHpL8UjzwhEh6sn+mN2h/59MlVI7Ehr1iGTt3MsfcIFA==",
- "dependencies": {
- "@types/d3": "^7.4.0",
- "@types/d3-drag": "^3.0.1",
- "@types/d3-selection": "^3.0.3",
- "@types/d3-zoom": "^3.0.1",
- "classcat": "^5.0.3",
- "d3-drag": "^3.0.0",
- "d3-selection": "^3.0.0",
- "d3-zoom": "^3.0.0",
- "zustand": "^4.4.1"
- },
- "peerDependencies": {
- "react": ">=17",
- "react-dom": ">=17"
- }
- },
- "node_modules/@reactflow/minimap": {
- "version": "11.7.13",
- "resolved": "https://registry.npmjs.org/@reactflow/minimap/-/minimap-11.7.13.tgz",
- "integrity": "sha512-m2MvdiGSyOu44LEcERDEl1Aj6x//UQRWo3HEAejNU4HQTlJnYrSN8tgrYF8TxC1+c/9UdyzQY5VYgrTwW4QWdg==",
- "dependencies": {
- "@reactflow/core": "11.11.3",
- "@types/d3-selection": "^3.0.3",
- "@types/d3-zoom": "^3.0.1",
- "classcat": "^5.0.3",
- "d3-selection": "^3.0.0",
- "d3-zoom": "^3.0.0",
- "zustand": "^4.4.1"
- },
- "peerDependencies": {
- "react": ">=17",
- "react-dom": ">=17"
- }
- },
- "node_modules/@reactflow/node-resizer": {
- "version": "2.2.13",
- "resolved": "https://registry.npmjs.org/@reactflow/node-resizer/-/node-resizer-2.2.13.tgz",
- "integrity": "sha512-X7ceQ2s3jFLgbkg03n2RYr4hm3jTVrzkW2W/8ANv/SZfuVmF8XJxlERuD8Eka5voKqLda0ywIZGAbw9GoHLfUQ==",
- "dependencies": {
- "@reactflow/core": "11.11.3",
- "classcat": "^5.0.4",
- "d3-drag": "^3.0.0",
- "d3-selection": "^3.0.0",
- "zustand": "^4.4.1"
- },
- "peerDependencies": {
- "react": ">=17",
- "react-dom": ">=17"
- }
- },
- "node_modules/@reactflow/node-toolbar": {
- "version": "1.3.13",
- "resolved": "https://registry.npmjs.org/@reactflow/node-toolbar/-/node-toolbar-1.3.13.tgz",
- "integrity": "sha512-aknvNICO10uWdthFSpgD6ctY/CTBeJUMV9co8T9Ilugr08Nb89IQ4uD0dPmr031ewMQxixtYIkw+sSDDzd2aaQ==",
- "dependencies": {
- "@reactflow/core": "11.11.3",
- "classcat": "^5.0.3",
- "zustand": "^4.4.1"
- },
- "peerDependencies": {
- "react": ">=17",
- "react-dom": ">=17"
- }
- },
- "node_modules/@remix-run/router": {
- "version": "1.16.1",
- "resolved": "https://registry.npmjs.org/@remix-run/router/-/router-1.16.1.tgz",
- "integrity": "sha512-es2g3dq6Nb07iFxGk5GuHN20RwBZOsuDQN7izWIisUcv9r+d2C5jQxqmgkdebXgReWfiyUabcki6Fg77mSNrig==",
- "engines": {
- "node": ">=14.0.0"
- }
- },
- "node_modules/@rollup/pluginutils": {
- "version": "5.1.0",
- "resolved": "https://registry.npmjs.org/@rollup/pluginutils/-/pluginutils-5.1.0.tgz",
- "integrity": "sha512-XTIWOPPcpvyKI6L1NHo0lFlCyznUEyPmPY1mc3KpPVDYulHSTvyeLNVW00QTLIAFNhR3kYnJTQHeGqU4M3n09g==",
- "dependencies": {
- "@types/estree": "^1.0.0",
- "estree-walker": "^2.0.2",
- "picomatch": "^2.3.1"
- },
- "engines": {
- "node": ">=14.0.0"
- },
- "peerDependencies": {
- "rollup": "^1.20.0||^2.0.0||^3.0.0||^4.0.0"
- },
- "peerDependenciesMeta": {
- "rollup": {
- "optional": true
- }
- }
- },
- "node_modules/@sindresorhus/is": {
- "version": "4.6.0",
- "resolved": "https://registry.npmjs.org/@sindresorhus/is/-/is-4.6.0.tgz",
- "integrity": "sha512-t09vSN3MdfsyCHoFcTRCH/iUtG7OJ0CsjzB8cjAmKc/va/kIgeDI/TxsigdncE/4be734m0cvIYwNaV4i2XqAw==",
- "dev": true,
- "engines": {
- "node": ">=10"
- },
- "funding": {
- "url": "https://github.com/sindresorhus/is?sponsor=1"
- }
- },
- "node_modules/@svgr/babel-plugin-add-jsx-attribute": {
- "version": "8.0.0",
- "resolved": "https://registry.npmjs.org/@svgr/babel-plugin-add-jsx-attribute/-/babel-plugin-add-jsx-attribute-8.0.0.tgz",
- "integrity": "sha512-b9MIk7yhdS1pMCZM8VeNfUlSKVRhsHZNMl5O9SfaX0l0t5wjdgu4IDzGB8bpnGBBOjGST3rRFVsaaEtI4W6f7g==",
- "engines": {
- "node": ">=14"
- },
- "funding": {
- "type": "github",
- "url": "https://github.com/sponsors/gregberge"
- },
- "peerDependencies": {
- "@babel/core": "^7.0.0-0"
- }
- },
- "node_modules/@svgr/babel-plugin-remove-jsx-attribute": {
- "version": "8.0.0",
- "resolved": "https://registry.npmjs.org/@svgr/babel-plugin-remove-jsx-attribute/-/babel-plugin-remove-jsx-attribute-8.0.0.tgz",
- "integrity": "sha512-BcCkm/STipKvbCl6b7QFrMh/vx00vIP63k2eM66MfHJzPr6O2U0jYEViXkHJWqXqQYjdeA9cuCl5KWmlwjDvbA==",
- "engines": {
- "node": ">=14"
- },
- "funding": {
- "type": "github",
- "url": "https://github.com/sponsors/gregberge"
- },
- "peerDependencies": {
- "@babel/core": "^7.0.0-0"
- }
- },
- "node_modules/@svgr/babel-plugin-remove-jsx-empty-expression": {
- "version": "8.0.0",
- "resolved": "https://registry.npmjs.org/@svgr/babel-plugin-remove-jsx-empty-expression/-/babel-plugin-remove-jsx-empty-expression-8.0.0.tgz",
- "integrity": "sha512-5BcGCBfBxB5+XSDSWnhTThfI9jcO5f0Ai2V24gZpG+wXF14BzwxxdDb4g6trdOux0rhibGs385BeFMSmxtS3uA==",
- "engines": {
- "node": ">=14"
- },
- "funding": {
- "type": "github",
- "url": "https://github.com/sponsors/gregberge"
- },
- "peerDependencies": {
- "@babel/core": "^7.0.0-0"
- }
- },
- "node_modules/@svgr/babel-plugin-replace-jsx-attribute-value": {
- "version": "8.0.0",
- "resolved": "https://registry.npmjs.org/@svgr/babel-plugin-replace-jsx-attribute-value/-/babel-plugin-replace-jsx-attribute-value-8.0.0.tgz",
- "integrity": "sha512-KVQ+PtIjb1BuYT3ht8M5KbzWBhdAjjUPdlMtpuw/VjT8coTrItWX6Qafl9+ji831JaJcu6PJNKCV0bp01lBNzQ==",
- "engines": {
- "node": ">=14"
- },
- "funding": {
- "type": "github",
- "url": "https://github.com/sponsors/gregberge"
- },
- "peerDependencies": {
- "@babel/core": "^7.0.0-0"
- }
- },
- "node_modules/@svgr/babel-plugin-svg-dynamic-title": {
- "version": "8.0.0",
- "resolved": "https://registry.npmjs.org/@svgr/babel-plugin-svg-dynamic-title/-/babel-plugin-svg-dynamic-title-8.0.0.tgz",
- "integrity": "sha512-omNiKqwjNmOQJ2v6ge4SErBbkooV2aAWwaPFs2vUY7p7GhVkzRkJ00kILXQvRhA6miHnNpXv7MRnnSjdRjK8og==",
- "engines": {
- "node": ">=14"
- },
- "funding": {
- "type": "github",
- "url": "https://github.com/sponsors/gregberge"
- },
- "peerDependencies": {
- "@babel/core": "^7.0.0-0"
- }
- },
- "node_modules/@svgr/babel-plugin-svg-em-dimensions": {
- "version": "8.0.0",
- "resolved": "https://registry.npmjs.org/@svgr/babel-plugin-svg-em-dimensions/-/babel-plugin-svg-em-dimensions-8.0.0.tgz",
- "integrity": "sha512-mURHYnu6Iw3UBTbhGwE/vsngtCIbHE43xCRK7kCw4t01xyGqb2Pd+WXekRRoFOBIY29ZoOhUCTEweDMdrjfi9g==",
- "engines": {
- "node": ">=14"
- },
- "funding": {
- "type": "github",
- "url": "https://github.com/sponsors/gregberge"
- },
- "peerDependencies": {
- "@babel/core": "^7.0.0-0"
- }
- },
- "node_modules/@svgr/babel-plugin-transform-react-native-svg": {
- "version": "8.1.0",
- "resolved": "https://registry.npmjs.org/@svgr/babel-plugin-transform-react-native-svg/-/babel-plugin-transform-react-native-svg-8.1.0.tgz",
- "integrity": "sha512-Tx8T58CHo+7nwJ+EhUwx3LfdNSG9R2OKfaIXXs5soiy5HtgoAEkDay9LIimLOcG8dJQH1wPZp/cnAv6S9CrR1Q==",
- "engines": {
- "node": ">=14"
- },
- "funding": {
- "type": "github",
- "url": "https://github.com/sponsors/gregberge"
- },
- "peerDependencies": {
- "@babel/core": "^7.0.0-0"
- }
- },
- "node_modules/@svgr/babel-plugin-transform-svg-component": {
- "version": "8.0.0",
- "resolved": "https://registry.npmjs.org/@svgr/babel-plugin-transform-svg-component/-/babel-plugin-transform-svg-component-8.0.0.tgz",
- "integrity": "sha512-DFx8xa3cZXTdb/k3kfPeaixecQLgKh5NVBMwD0AQxOzcZawK4oo1Jh9LbrcACUivsCA7TLG8eeWgrDXjTMhRmw==",
- "engines": {
- "node": ">=12"
- },
- "funding": {
- "type": "github",
- "url": "https://github.com/sponsors/gregberge"
- },
- "peerDependencies": {
- "@babel/core": "^7.0.0-0"
- }
- },
- "node_modules/@svgr/babel-preset": {
- "version": "8.1.0",
- "resolved": "https://registry.npmjs.org/@svgr/babel-preset/-/babel-preset-8.1.0.tgz",
- "integrity": "sha512-7EYDbHE7MxHpv4sxvnVPngw5fuR6pw79SkcrILHJ/iMpuKySNCl5W1qcwPEpU+LgyRXOaAFgH0KhwD18wwg6ug==",
- "dependencies": {
- "@svgr/babel-plugin-add-jsx-attribute": "8.0.0",
- "@svgr/babel-plugin-remove-jsx-attribute": "8.0.0",
- "@svgr/babel-plugin-remove-jsx-empty-expression": "8.0.0",
- "@svgr/babel-plugin-replace-jsx-attribute-value": "8.0.0",
- "@svgr/babel-plugin-svg-dynamic-title": "8.0.0",
- "@svgr/babel-plugin-svg-em-dimensions": "8.0.0",
- "@svgr/babel-plugin-transform-react-native-svg": "8.1.0",
- "@svgr/babel-plugin-transform-svg-component": "8.0.0"
- },
- "engines": {
- "node": ">=14"
- },
- "funding": {
- "type": "github",
- "url": "https://github.com/sponsors/gregberge"
- },
- "peerDependencies": {
- "@babel/core": "^7.0.0-0"
- }
- },
- "node_modules/@svgr/core": {
- "version": "8.1.0",
- "resolved": "https://registry.npmjs.org/@svgr/core/-/core-8.1.0.tgz",
- "integrity": "sha512-8QqtOQT5ACVlmsvKOJNEaWmRPmcojMOzCz4Hs2BGG/toAp/K38LcsMRyLp349glq5AzJbCEeimEoxaX6v/fLrA==",
- "dependencies": {
- "@babel/core": "^7.21.3",
- "@svgr/babel-preset": "8.1.0",
- "camelcase": "^6.2.0",
- "cosmiconfig": "^8.1.3",
- "snake-case": "^3.0.4"
- },
- "engines": {
- "node": ">=14"
- },
- "funding": {
- "type": "github",
- "url": "https://github.com/sponsors/gregberge"
- }
- },
- "node_modules/@svgr/hast-util-to-babel-ast": {
- "version": "8.0.0",
- "resolved": "https://registry.npmjs.org/@svgr/hast-util-to-babel-ast/-/hast-util-to-babel-ast-8.0.0.tgz",
- "integrity": "sha512-EbDKwO9GpfWP4jN9sGdYwPBU0kdomaPIL2Eu4YwmgP+sJeXT+L7bMwJUBnhzfH8Q2qMBqZ4fJwpCyYsAN3mt2Q==",
- "dependencies": {
- "@babel/types": "^7.21.3",
- "entities": "^4.4.0"
- },
- "engines": {
- "node": ">=14"
- },
- "funding": {
- "type": "github",
- "url": "https://github.com/sponsors/gregberge"
- }
- },
- "node_modules/@svgr/hast-util-to-babel-ast/node_modules/entities": {
- "version": "4.5.0",
- "resolved": "https://registry.npmjs.org/entities/-/entities-4.5.0.tgz",
- "integrity": "sha512-V0hjH4dGPh9Ao5p0MoRY6BVqtwCjhz6vI5LT8AJ55H+4g9/4vbHx1I54fS0XuclLhDHArPQCiMjDxjaL8fPxhw==",
- "engines": {
- "node": ">=0.12"
- },
- "funding": {
- "url": "https://github.com/fb55/entities?sponsor=1"
- }
- },
- "node_modules/@svgr/plugin-jsx": {
- "version": "8.1.0",
- "resolved": "https://registry.npmjs.org/@svgr/plugin-jsx/-/plugin-jsx-8.1.0.tgz",
- "integrity": "sha512-0xiIyBsLlr8quN+WyuxooNW9RJ0Dpr8uOnH/xrCVO8GLUcwHISwj1AG0k+LFzteTkAA0GbX0kj9q6Dk70PTiPA==",
- "dependencies": {
- "@babel/core": "^7.21.3",
- "@svgr/babel-preset": "8.1.0",
- "@svgr/hast-util-to-babel-ast": "8.0.0",
- "svg-parser": "^2.0.4"
- },
- "engines": {
- "node": ">=14"
- },
- "funding": {
- "type": "github",
- "url": "https://github.com/sponsors/gregberge"
- },
- "peerDependencies": {
- "@svgr/core": "*"
- }
- },
- "node_modules/@swc/cli": {
- "version": "0.1.65",
- "resolved": "https://registry.npmjs.org/@swc/cli/-/cli-0.1.65.tgz",
- "integrity": "sha512-4NcgsvJVHhA7trDnMmkGLLvWMHu2kSy+qHx6QwRhhJhdiYdNUrhdp+ERxen73sYtaeEOYeLJcWrQ60nzKi6rpg==",
- "dev": true,
- "dependencies": {
- "@mole-inc/bin-wrapper": "^8.0.1",
- "commander": "^7.1.0",
- "fast-glob": "^3.2.5",
- "minimatch": "^9.0.3",
- "semver": "^7.3.8",
- "slash": "3.0.0",
- "source-map": "^0.7.3"
- },
- "bin": {
- "spack": "bin/spack.js",
- "swc": "bin/swc.js",
- "swcx": "bin/swcx.js"
- },
- "engines": {
- "node": ">= 12.13"
- },
- "peerDependencies": {
- "@swc/core": "^1.2.66",
- "chokidar": "^3.5.1"
- },
- "peerDependenciesMeta": {
- "chokidar": {
- "optional": true
- }
- }
- },
- "node_modules/@swc/cli/node_modules/semver": {
- "version": "7.6.2",
- "resolved": "https://registry.npmjs.org/semver/-/semver-7.6.2.tgz",
- "integrity": "sha512-FNAIBWCx9qcRhoHcgcJ0gvU7SN1lYU2ZXuSfl04bSC5OpvDHFyJCjdNHomPXxjQlCBU67YW64PzY7/VIEH7F2w==",
- "dev": true,
- "bin": {
- "semver": "bin/semver.js"
- },
- "engines": {
- "node": ">=10"
- }
- },
- "node_modules/@swc/core": {
- "version": "1.5.7",
- "resolved": "https://registry.npmjs.org/@swc/core/-/core-1.5.7.tgz",
- "integrity": "sha512-U4qJRBefIJNJDRCCiVtkfa/hpiZ7w0R6kASea+/KLp+vkus3zcLSB8Ub8SvKgTIxjWpwsKcZlPf5nrv4ls46SQ==",
- "dev": true,
- "hasInstallScript": true,
- "dependencies": {
- "@swc/counter": "^0.1.2",
- "@swc/types": "0.1.7"
- },
- "engines": {
- "node": ">=10"
- },
- "funding": {
- "type": "opencollective",
- "url": "https://opencollective.com/swc"
- },
- "optionalDependencies": {
- "@swc/core-darwin-arm64": "1.5.7",
- "@swc/core-darwin-x64": "1.5.7",
- "@swc/core-linux-arm-gnueabihf": "1.5.7",
- "@swc/core-linux-arm64-gnu": "1.5.7",
- "@swc/core-linux-arm64-musl": "1.5.7",
- "@swc/core-linux-x64-gnu": "1.5.7",
- "@swc/core-linux-x64-musl": "1.5.7",
- "@swc/core-win32-arm64-msvc": "1.5.7",
- "@swc/core-win32-ia32-msvc": "1.5.7",
- "@swc/core-win32-x64-msvc": "1.5.7"
- },
- "peerDependencies": {
- "@swc/helpers": "^0.5.0"
- },
- "peerDependenciesMeta": {
- "@swc/helpers": {
- "optional": true
- }
- }
- },
- "node_modules/@swc/core-darwin-arm64": {
- "version": "1.5.7",
- "resolved": "https://registry.npmjs.org/@swc/core-darwin-arm64/-/core-darwin-arm64-1.5.7.tgz",
- "integrity": "sha512-bZLVHPTpH3h6yhwVl395k0Mtx8v6CGhq5r4KQdAoPbADU974Mauz1b6ViHAJ74O0IVE5vyy7tD3OpkQxL/vMDQ==",
- "cpu": [
- "arm64"
- ],
- "dev": true,
- "optional": true,
- "os": [
- "darwin"
- ],
- "engines": {
- "node": ">=10"
- }
- },
- "node_modules/@swc/core-darwin-x64": {
- "version": "1.5.7",
- "resolved": "https://registry.npmjs.org/@swc/core-darwin-x64/-/core-darwin-x64-1.5.7.tgz",
- "integrity": "sha512-RpUyu2GsviwTc2qVajPL0l8nf2vKj5wzO3WkLSHAHEJbiUZk83NJrZd1RVbEknIMO7+Uyjh54hEh8R26jSByaw==",
- "cpu": [
- "x64"
- ],
- "dev": true,
- "optional": true,
- "os": [
- "darwin"
- ],
- "engines": {
- "node": ">=10"
- }
- },
- "node_modules/@swc/core-linux-arm-gnueabihf": {
- "version": "1.5.7",
- "resolved": "https://registry.npmjs.org/@swc/core-linux-arm-gnueabihf/-/core-linux-arm-gnueabihf-1.5.7.tgz",
- "integrity": "sha512-cTZWTnCXLABOuvWiv6nQQM0hP6ZWEkzdgDvztgHI/+u/MvtzJBN5lBQ2lue/9sSFYLMqzqff5EHKlFtrJCA9dQ==",
- "cpu": [
- "arm"
- ],
- "dev": true,
- "optional": true,
- "os": [
- "linux"
- ],
- "engines": {
- "node": ">=10"
- }
- },
- "node_modules/@swc/core-linux-arm64-gnu": {
- "version": "1.5.7",
- "resolved": "https://registry.npmjs.org/@swc/core-linux-arm64-gnu/-/core-linux-arm64-gnu-1.5.7.tgz",
- "integrity": "sha512-hoeTJFBiE/IJP30Be7djWF8Q5KVgkbDtjySmvYLg9P94bHg9TJPSQoC72tXx/oXOgXvElDe/GMybru0UxhKx4g==",
- "cpu": [
- "arm64"
- ],
- "dev": true,
- "optional": true,
- "os": [
- "linux"
- ],
- "engines": {
- "node": ">=10"
- }
- },
- "node_modules/@swc/core-linux-arm64-musl": {
- "version": "1.5.7",
- "resolved": "https://registry.npmjs.org/@swc/core-linux-arm64-musl/-/core-linux-arm64-musl-1.5.7.tgz",
- "integrity": "sha512-+NDhK+IFTiVK1/o7EXdCeF2hEzCiaRSrb9zD7X2Z7inwWlxAntcSuzZW7Y6BRqGQH89KA91qYgwbnjgTQ22PiQ==",
- "cpu": [
- "arm64"
- ],
- "dev": true,
- "optional": true,
- "os": [
- "linux"
- ],
- "engines": {
- "node": ">=10"
- }
- },
- "node_modules/@swc/core-linux-x64-gnu": {
- "version": "1.5.7",
- "resolved": "https://registry.npmjs.org/@swc/core-linux-x64-gnu/-/core-linux-x64-gnu-1.5.7.tgz",
- "integrity": "sha512-25GXpJmeFxKB+7pbY7YQLhWWjkYlR+kHz5I3j9WRl3Lp4v4UD67OGXwPe+DIcHqcouA1fhLhsgHJWtsaNOMBNg==",
- "cpu": [
- "x64"
- ],
- "dev": true,
- "optional": true,
- "os": [
- "linux"
- ],
- "engines": {
- "node": ">=10"
- }
- },
- "node_modules/@swc/core-linux-x64-musl": {
- "version": "1.5.7",
- "resolved": "https://registry.npmjs.org/@swc/core-linux-x64-musl/-/core-linux-x64-musl-1.5.7.tgz",
- "integrity": "sha512-0VN9Y5EAPBESmSPPsCJzplZHV26akC0sIgd3Hc/7S/1GkSMoeuVL+V9vt+F/cCuzr4VidzSkqftdP3qEIsXSpg==",
- "cpu": [
- "x64"
- ],
- "dev": true,
- "optional": true,
- "os": [
- "linux"
- ],
- "engines": {
- "node": ">=10"
- }
- },
- "node_modules/@swc/core-win32-arm64-msvc": {
- "version": "1.5.7",
- "resolved": "https://registry.npmjs.org/@swc/core-win32-arm64-msvc/-/core-win32-arm64-msvc-1.5.7.tgz",
- "integrity": "sha512-RtoNnstBwy5VloNCvmvYNApkTmuCe4sNcoYWpmY7C1+bPR+6SOo8im1G6/FpNem8AR5fcZCmXHWQ+EUmRWJyuA==",
- "cpu": [
- "arm64"
- ],
- "dev": true,
- "optional": true,
- "os": [
- "win32"
- ],
- "engines": {
- "node": ">=10"
- }
- },
- "node_modules/@swc/core-win32-ia32-msvc": {
- "version": "1.5.7",
- "resolved": "https://registry.npmjs.org/@swc/core-win32-ia32-msvc/-/core-win32-ia32-msvc-1.5.7.tgz",
- "integrity": "sha512-Xm0TfvcmmspvQg1s4+USL3x8D+YPAfX2JHygvxAnCJ0EHun8cm2zvfNBcsTlnwYb0ybFWXXY129aq1wgFC9TpQ==",
- "cpu": [
- "ia32"
- ],
- "dev": true,
- "optional": true,
- "os": [
- "win32"
- ],
- "engines": {
- "node": ">=10"
- }
- },
- "node_modules/@swc/core-win32-x64-msvc": {
- "version": "1.5.7",
- "resolved": "https://registry.npmjs.org/@swc/core-win32-x64-msvc/-/core-win32-x64-msvc-1.5.7.tgz",
- "integrity": "sha512-tp43WfJLCsKLQKBmjmY/0vv1slVywR5Q4qKjF5OIY8QijaEW7/8VwPyUyVoJZEnDgv9jKtUTG5PzqtIYPZGnyg==",
- "cpu": [
- "x64"
- ],
- "dev": true,
- "optional": true,
- "os": [
- "win32"
- ],
- "engines": {
- "node": ">=10"
- }
- },
- "node_modules/@swc/counter": {
- "version": "0.1.3",
- "resolved": "https://registry.npmjs.org/@swc/counter/-/counter-0.1.3.tgz",
- "integrity": "sha512-e2BR4lsJkkRlKZ/qCHPw9ZaSxc0MVUd7gtbtaB7aMvHeJVYe8sOB8DBZkP2DtISHGSku9sCK6T6cnY0CtXrOCQ==",
- "dev": true
- },
- "node_modules/@swc/types": {
- "version": "0.1.7",
- "resolved": "https://registry.npmjs.org/@swc/types/-/types-0.1.7.tgz",
- "integrity": "sha512-scHWahbHF0eyj3JsxG9CFJgFdFNaVQCNAimBlT6PzS3n/HptxqREjsm4OH6AN3lYcffZYSPxXW8ua2BEHp0lJQ==",
- "dev": true,
- "dependencies": {
- "@swc/counter": "^0.1.3"
- }
- },
- "node_modules/@szmarczak/http-timer": {
- "version": "4.0.6",
- "resolved": "https://registry.npmjs.org/@szmarczak/http-timer/-/http-timer-4.0.6.tgz",
- "integrity": "sha512-4BAffykYOgO+5nzBWYwE3W90sBgLJoUPRWWcL8wlyiM8IB8ipJz3UMJ9KXQd1RKQXpKp8Tutn80HZtWsu2u76w==",
- "dev": true,
- "dependencies": {
- "defer-to-connect": "^2.0.0"
- },
- "engines": {
- "node": ">=10"
- }
- },
- "node_modules/@tabler/icons": {
- "version": "2.47.0",
- "resolved": "https://registry.npmjs.org/@tabler/icons/-/icons-2.47.0.tgz",
- "integrity": "sha512-4w5evLh+7FUUiA1GucvGj2ReX2TvOjEr4ejXdwL/bsjoSkof6r1gQmzqI+VHrE2CpJpB3al7bCTulOkFa/RcyA==",
- "funding": {
- "type": "github",
- "url": "https://github.com/sponsors/codecalm"
- }
- },
- "node_modules/@tabler/icons-react": {
- "version": "2.47.0",
- "resolved": "https://registry.npmjs.org/@tabler/icons-react/-/icons-react-2.47.0.tgz",
- "integrity": "sha512-iqly2FvCF/qUbgmvS8E40rVeYY7laltc5GUjRxQj59DuX0x/6CpKHTXt86YlI2whg4czvd/c8Ce8YR08uEku0g==",
- "dependencies": {
- "@tabler/icons": "2.47.0",
- "prop-types": "^15.7.2"
- },
- "funding": {
- "type": "github",
- "url": "https://github.com/sponsors/codecalm"
- },
- "peerDependencies": {
- "react": "^16.5.1 || ^17.0.0 || ^18.0.0"
- }
- },
- "node_modules/@tailwindcss/forms": {
- "version": "0.5.7",
- "resolved": "https://registry.npmjs.org/@tailwindcss/forms/-/forms-0.5.7.tgz",
- "integrity": "sha512-QE7X69iQI+ZXwldE+rzasvbJiyV/ju1FGHH0Qn2W3FKbuYtqp8LKcy6iSw79fVUT5/Vvf+0XgLCeYVG+UV6hOw==",
- "dependencies": {
- "mini-svg-data-uri": "^1.2.3"
- },
- "peerDependencies": {
- "tailwindcss": ">=3.0.0 || >= 3.0.0-alpha.1"
- }
- },
- "node_modules/@tailwindcss/line-clamp": {
- "version": "0.4.4",
- "resolved": "https://registry.npmjs.org/@tailwindcss/line-clamp/-/line-clamp-0.4.4.tgz",
- "integrity": "sha512-5U6SY5z8N42VtrCrKlsTAA35gy2VSyYtHWCsg1H87NU1SXnEfekTVlrga9fzUDrrHcGi2Lb5KenUWb4lRQT5/g==",
- "peerDependencies": {
- "tailwindcss": ">=2.0.0 || >=3.0.0 || >=3.0.0-alpha.1"
- }
- },
- "node_modules/@tailwindcss/typography": {
- "version": "0.5.13",
- "resolved": "https://registry.npmjs.org/@tailwindcss/typography/-/typography-0.5.13.tgz",
- "integrity": "sha512-ADGcJ8dX21dVVHIwTRgzrcunY6YY9uSlAHHGVKvkA+vLc5qLwEszvKts40lx7z0qc4clpjclwLeK5rVCV2P/uw==",
- "dev": true,
- "dependencies": {
- "lodash.castarray": "^4.4.0",
- "lodash.isplainobject": "^4.0.6",
- "lodash.merge": "^4.6.2",
- "postcss-selector-parser": "6.0.10"
- },
- "peerDependencies": {
- "tailwindcss": ">=3.0.0 || insiders"
- }
- },
- "node_modules/@tanstack/react-virtual": {
- "version": "3.5.0",
- "resolved": "https://registry.npmjs.org/@tanstack/react-virtual/-/react-virtual-3.5.0.tgz",
- "integrity": "sha512-rtvo7KwuIvqK9zb0VZ5IL7fiJAEnG+0EiFZz8FUOs+2mhGqdGmjKIaT1XU7Zq0eFqL0jonLlhbayJI/J2SA/Bw==",
- "dependencies": {
- "@tanstack/virtual-core": "3.5.0"
- },
- "funding": {
- "type": "github",
- "url": "https://github.com/sponsors/tannerlinsley"
- },
- "peerDependencies": {
- "react": "^16.8.0 || ^17.0.0 || ^18.0.0",
- "react-dom": "^16.8.0 || ^17.0.0 || ^18.0.0"
- }
- },
- "node_modules/@tanstack/virtual-core": {
- "version": "3.5.0",
- "resolved": "https://registry.npmjs.org/@tanstack/virtual-core/-/virtual-core-3.5.0.tgz",
- "integrity": "sha512-KnPRCkQTyqhanNC0K63GBG3wA8I+D1fQuVnAvcBF8f13akOKeQp1gSbu6f77zCxhEk727iV5oQnbHLYzHrECLg==",
- "funding": {
- "type": "github",
- "url": "https://github.com/sponsors/tannerlinsley"
- }
- },
- "node_modules/@testing-library/dom": {
- "version": "10.1.0",
- "resolved": "https://registry.npmjs.org/@testing-library/dom/-/dom-10.1.0.tgz",
- "integrity": "sha512-wdsYKy5zupPyLCW2Je5DLHSxSfbIp6h80WoHOQc+RPtmPGA52O9x5MJEkv92Sjonpq+poOAtUKhh1kBGAXBrNA==",
- "dev": true,
- "peer": true,
- "dependencies": {
- "@babel/code-frame": "^7.10.4",
- "@babel/runtime": "^7.12.5",
- "@types/aria-query": "^5.0.1",
- "aria-query": "5.3.0",
- "chalk": "^4.1.0",
- "dom-accessibility-api": "^0.5.9",
- "lz-string": "^1.5.0",
- "pretty-format": "^27.0.2"
- },
- "engines": {
- "node": ">=18"
- }
- },
- "node_modules/@testing-library/dom/node_modules/ansi-styles": {
- "version": "4.3.0",
- "resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-4.3.0.tgz",
- "integrity": "sha512-zbB9rCJAT1rbjiVDb2hqKFHNYLxgtk8NURxZ3IZwD3F6NtxbXZQCnnSi1Lkx+IDohdPlFp222wVALIheZJQSEg==",
- "dev": true,
- "peer": true,
- "dependencies": {
- "color-convert": "^2.0.1"
- },
- "engines": {
- "node": ">=8"
- },
- "funding": {
- "url": "https://github.com/chalk/ansi-styles?sponsor=1"
- }
- },
- "node_modules/@testing-library/dom/node_modules/chalk": {
- "version": "4.1.2",
- "resolved": "https://registry.npmjs.org/chalk/-/chalk-4.1.2.tgz",
- "integrity": "sha512-oKnbhFyRIXpUuez8iBMmyEa4nbj4IOQyuhc/wy9kY7/WVPcwIO9VA668Pu8RkO7+0G76SLROeyw9CpQ061i4mA==",
- "dev": true,
- "peer": true,
- "dependencies": {
- "ansi-styles": "^4.1.0",
- "supports-color": "^7.1.0"
- },
- "engines": {
- "node": ">=10"
- },
- "funding": {
- "url": "https://github.com/chalk/chalk?sponsor=1"
- }
- },
- "node_modules/@testing-library/dom/node_modules/color-convert": {
- "version": "2.0.1",
- "resolved": "https://registry.npmjs.org/color-convert/-/color-convert-2.0.1.tgz",
- "integrity": "sha512-RRECPsj7iu/xb5oKYcsFHSppFNnsj/52OVTRKb4zP5onXwVF3zVmmToNcOfGC+CRDpfK/U584fMg38ZHCaElKQ==",
- "dev": true,
- "peer": true,
- "dependencies": {
- "color-name": "~1.1.4"
- },
- "engines": {
- "node": ">=7.0.0"
- }
- },
- "node_modules/@testing-library/dom/node_modules/color-name": {
- "version": "1.1.4",
- "resolved": "https://registry.npmjs.org/color-name/-/color-name-1.1.4.tgz",
- "integrity": "sha512-dOy+3AuW3a2wNbZHIuMZpTcgjGuLU/uBL/ubcZF9OXbDo8ff4O8yVp5Bf0efS8uEoYo5q4Fx7dY9OgQGXgAsQA==",
- "dev": true,
- "peer": true
- },
- "node_modules/@testing-library/dom/node_modules/has-flag": {
- "version": "4.0.0",
- "resolved": "https://registry.npmjs.org/has-flag/-/has-flag-4.0.0.tgz",
- "integrity": "sha512-EykJT/Q1KjTWctppgIAgfSO0tKVuZUjhgMr17kqTumMl6Afv3EISleU7qZUzoXDFTAHTDC4NOoG/ZxU3EvlMPQ==",
- "dev": true,
- "peer": true,
- "engines": {
- "node": ">=8"
- }
- },
- "node_modules/@testing-library/dom/node_modules/supports-color": {
- "version": "7.2.0",
- "resolved": "https://registry.npmjs.org/supports-color/-/supports-color-7.2.0.tgz",
- "integrity": "sha512-qpCAvRl9stuOHveKsn7HncJRvv501qIacKzQlO/+Lwxc9+0q2wLyv4Dfvt80/DPn2pqOBsJdDiogXGR9+OvwRw==",
- "dev": true,
- "peer": true,
- "dependencies": {
- "has-flag": "^4.0.0"
- },
- "engines": {
- "node": ">=8"
- }
- },
- "node_modules/@testing-library/jest-dom": {
- "version": "5.17.0",
- "resolved": "https://registry.npmjs.org/@testing-library/jest-dom/-/jest-dom-5.17.0.tgz",
- "integrity": "sha512-ynmNeT7asXyH3aSVv4vvX4Rb+0qjOhdNHnO/3vuZNqPmhDpV/+rCSGwQ7bLcmU2cJ4dvoheIO85LQj0IbJHEtg==",
- "dev": true,
- "dependencies": {
- "@adobe/css-tools": "^4.0.1",
- "@babel/runtime": "^7.9.2",
- "@types/testing-library__jest-dom": "^5.9.1",
- "aria-query": "^5.0.0",
- "chalk": "^3.0.0",
- "css.escape": "^1.5.1",
- "dom-accessibility-api": "^0.5.6",
- "lodash": "^4.17.15",
- "redent": "^3.0.0"
- },
- "engines": {
- "node": ">=8",
- "npm": ">=6",
- "yarn": ">=1"
- }
- },
- "node_modules/@testing-library/jest-dom/node_modules/ansi-styles": {
- "version": "4.3.0",
- "resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-4.3.0.tgz",
- "integrity": "sha512-zbB9rCJAT1rbjiVDb2hqKFHNYLxgtk8NURxZ3IZwD3F6NtxbXZQCnnSi1Lkx+IDohdPlFp222wVALIheZJQSEg==",
- "dev": true,
- "dependencies": {
- "color-convert": "^2.0.1"
- },
- "engines": {
- "node": ">=8"
- },
- "funding": {
- "url": "https://github.com/chalk/ansi-styles?sponsor=1"
- }
- },
- "node_modules/@testing-library/jest-dom/node_modules/chalk": {
- "version": "3.0.0",
- "resolved": "https://registry.npmjs.org/chalk/-/chalk-3.0.0.tgz",
- "integrity": "sha512-4D3B6Wf41KOYRFdszmDqMCGq5VV/uMAB273JILmO+3jAlh8X4qDtdtgCR3fxtbLEMzSx22QdhnDcJvu2u1fVwg==",
- "dev": true,
- "dependencies": {
- "ansi-styles": "^4.1.0",
- "supports-color": "^7.1.0"
- },
- "engines": {
- "node": ">=8"
- }
- },
- "node_modules/@testing-library/jest-dom/node_modules/color-convert": {
- "version": "2.0.1",
- "resolved": "https://registry.npmjs.org/color-convert/-/color-convert-2.0.1.tgz",
- "integrity": "sha512-RRECPsj7iu/xb5oKYcsFHSppFNnsj/52OVTRKb4zP5onXwVF3zVmmToNcOfGC+CRDpfK/U584fMg38ZHCaElKQ==",
- "dev": true,
- "dependencies": {
- "color-name": "~1.1.4"
- },
- "engines": {
- "node": ">=7.0.0"
- }
- },
- "node_modules/@testing-library/jest-dom/node_modules/color-name": {
- "version": "1.1.4",
- "resolved": "https://registry.npmjs.org/color-name/-/color-name-1.1.4.tgz",
- "integrity": "sha512-dOy+3AuW3a2wNbZHIuMZpTcgjGuLU/uBL/ubcZF9OXbDo8ff4O8yVp5Bf0efS8uEoYo5q4Fx7dY9OgQGXgAsQA==",
- "dev": true
- },
- "node_modules/@testing-library/jest-dom/node_modules/has-flag": {
- "version": "4.0.0",
- "resolved": "https://registry.npmjs.org/has-flag/-/has-flag-4.0.0.tgz",
- "integrity": "sha512-EykJT/Q1KjTWctppgIAgfSO0tKVuZUjhgMr17kqTumMl6Afv3EISleU7qZUzoXDFTAHTDC4NOoG/ZxU3EvlMPQ==",
- "dev": true,
- "engines": {
- "node": ">=8"
- }
- },
- "node_modules/@testing-library/jest-dom/node_modules/supports-color": {
- "version": "7.2.0",
- "resolved": "https://registry.npmjs.org/supports-color/-/supports-color-7.2.0.tgz",
- "integrity": "sha512-qpCAvRl9stuOHveKsn7HncJRvv501qIacKzQlO/+Lwxc9+0q2wLyv4Dfvt80/DPn2pqOBsJdDiogXGR9+OvwRw==",
- "dev": true,
- "dependencies": {
- "has-flag": "^4.0.0"
- },
- "engines": {
- "node": ">=8"
- }
- },
- "node_modules/@testing-library/react": {
- "version": "13.4.0",
- "resolved": "https://registry.npmjs.org/@testing-library/react/-/react-13.4.0.tgz",
- "integrity": "sha512-sXOGON+WNTh3MLE9rve97ftaZukN3oNf2KjDy7YTx6hcTO2uuLHuCGynMDhFwGw/jYf4OJ2Qk0i4i79qMNNkyw==",
- "dev": true,
- "dependencies": {
- "@babel/runtime": "^7.12.5",
- "@testing-library/dom": "^8.5.0",
- "@types/react-dom": "^18.0.0"
- },
- "engines": {
- "node": ">=12"
- },
- "peerDependencies": {
- "react": "^18.0.0",
- "react-dom": "^18.0.0"
- }
- },
- "node_modules/@testing-library/react/node_modules/@testing-library/dom": {
- "version": "8.20.1",
- "resolved": "https://registry.npmjs.org/@testing-library/dom/-/dom-8.20.1.tgz",
- "integrity": "sha512-/DiOQ5xBxgdYRC8LNk7U+RWat0S3qRLeIw3ZIkMQ9kkVlRmwD/Eg8k8CqIpD6GW7u20JIUOfMKbxtiLutpjQ4g==",
- "dev": true,
- "dependencies": {
- "@babel/code-frame": "^7.10.4",
- "@babel/runtime": "^7.12.5",
- "@types/aria-query": "^5.0.1",
- "aria-query": "5.1.3",
- "chalk": "^4.1.0",
- "dom-accessibility-api": "^0.5.9",
- "lz-string": "^1.5.0",
- "pretty-format": "^27.0.2"
- },
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/@testing-library/react/node_modules/ansi-styles": {
- "version": "4.3.0",
- "resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-4.3.0.tgz",
- "integrity": "sha512-zbB9rCJAT1rbjiVDb2hqKFHNYLxgtk8NURxZ3IZwD3F6NtxbXZQCnnSi1Lkx+IDohdPlFp222wVALIheZJQSEg==",
- "dev": true,
- "dependencies": {
- "color-convert": "^2.0.1"
- },
- "engines": {
- "node": ">=8"
- },
- "funding": {
- "url": "https://github.com/chalk/ansi-styles?sponsor=1"
- }
- },
- "node_modules/@testing-library/react/node_modules/aria-query": {
- "version": "5.1.3",
- "resolved": "https://registry.npmjs.org/aria-query/-/aria-query-5.1.3.tgz",
- "integrity": "sha512-R5iJ5lkuHybztUfuOAznmboyjWq8O6sqNqtK7CLOqdydi54VNbORp49mb14KbWgG1QD3JFO9hJdZ+y4KutfdOQ==",
- "dev": true,
- "dependencies": {
- "deep-equal": "^2.0.5"
- }
- },
- "node_modules/@testing-library/react/node_modules/chalk": {
- "version": "4.1.2",
- "resolved": "https://registry.npmjs.org/chalk/-/chalk-4.1.2.tgz",
- "integrity": "sha512-oKnbhFyRIXpUuez8iBMmyEa4nbj4IOQyuhc/wy9kY7/WVPcwIO9VA668Pu8RkO7+0G76SLROeyw9CpQ061i4mA==",
- "dev": true,
- "dependencies": {
- "ansi-styles": "^4.1.0",
- "supports-color": "^7.1.0"
- },
- "engines": {
- "node": ">=10"
- },
- "funding": {
- "url": "https://github.com/chalk/chalk?sponsor=1"
- }
- },
- "node_modules/@testing-library/react/node_modules/color-convert": {
- "version": "2.0.1",
- "resolved": "https://registry.npmjs.org/color-convert/-/color-convert-2.0.1.tgz",
- "integrity": "sha512-RRECPsj7iu/xb5oKYcsFHSppFNnsj/52OVTRKb4zP5onXwVF3zVmmToNcOfGC+CRDpfK/U584fMg38ZHCaElKQ==",
- "dev": true,
- "dependencies": {
- "color-name": "~1.1.4"
- },
- "engines": {
- "node": ">=7.0.0"
- }
- },
- "node_modules/@testing-library/react/node_modules/color-name": {
- "version": "1.1.4",
- "resolved": "https://registry.npmjs.org/color-name/-/color-name-1.1.4.tgz",
- "integrity": "sha512-dOy+3AuW3a2wNbZHIuMZpTcgjGuLU/uBL/ubcZF9OXbDo8ff4O8yVp5Bf0efS8uEoYo5q4Fx7dY9OgQGXgAsQA==",
- "dev": true
- },
- "node_modules/@testing-library/react/node_modules/has-flag": {
- "version": "4.0.0",
- "resolved": "https://registry.npmjs.org/has-flag/-/has-flag-4.0.0.tgz",
- "integrity": "sha512-EykJT/Q1KjTWctppgIAgfSO0tKVuZUjhgMr17kqTumMl6Afv3EISleU7qZUzoXDFTAHTDC4NOoG/ZxU3EvlMPQ==",
- "dev": true,
- "engines": {
- "node": ">=8"
- }
- },
- "node_modules/@testing-library/react/node_modules/supports-color": {
- "version": "7.2.0",
- "resolved": "https://registry.npmjs.org/supports-color/-/supports-color-7.2.0.tgz",
- "integrity": "sha512-qpCAvRl9stuOHveKsn7HncJRvv501qIacKzQlO/+Lwxc9+0q2wLyv4Dfvt80/DPn2pqOBsJdDiogXGR9+OvwRw==",
- "dev": true,
- "dependencies": {
- "has-flag": "^4.0.0"
- },
- "engines": {
- "node": ">=8"
- }
- },
- "node_modules/@testing-library/user-event": {
- "version": "13.5.0",
- "resolved": "https://registry.npmjs.org/@testing-library/user-event/-/user-event-13.5.0.tgz",
- "integrity": "sha512-5Kwtbo3Y/NowpkbRuSepbyMFkZmHgD+vPzYB/RJ4oxt5Gj/avFFBYjhw27cqSVPVw/3a67NK1PbiIr9k4Gwmdg==",
- "dev": true,
- "dependencies": {
- "@babel/runtime": "^7.12.5"
- },
- "engines": {
- "node": ">=10",
- "npm": ">=6"
- },
- "peerDependencies": {
- "@testing-library/dom": ">=7.21.4"
- }
- },
- "node_modules/@tokenizer/token": {
- "version": "0.3.0",
- "resolved": "https://registry.npmjs.org/@tokenizer/token/-/token-0.3.0.tgz",
- "integrity": "sha512-OvjF+z51L3ov0OyAU0duzsYuvO01PH7x4t6DJx+guahgTnBHkhJdG7soQeTSFLWN3efnHyibZ4Z8l2EuWwJN3A==",
- "dev": true
- },
- "node_modules/@tootallnate/once": {
- "version": "2.0.0",
- "resolved": "https://registry.npmjs.org/@tootallnate/once/-/once-2.0.0.tgz",
- "integrity": "sha512-XCuKFP5PS55gnMVu3dty8KPatLqUoy/ZYzDzAGCQ8JNFCkLXzmI7vNHCR+XpbZaMWQK/vQubr7PkYq8g470J/A==",
- "engines": {
- "node": ">= 10"
- }
- },
- "node_modules/@ts-morph/common": {
- "version": "0.19.0",
- "resolved": "https://registry.npmjs.org/@ts-morph/common/-/common-0.19.0.tgz",
- "integrity": "sha512-Unz/WHmd4pGax91rdIKWi51wnVUW11QttMEPpBiBgIewnc9UQIX7UDLxr5vRlqeByXCwhkF6VabSsI0raWcyAQ==",
- "dependencies": {
- "fast-glob": "^3.2.12",
- "minimatch": "^7.4.3",
- "mkdirp": "^2.1.6",
- "path-browserify": "^1.0.1"
- }
- },
- "node_modules/@ts-morph/common/node_modules/minimatch": {
- "version": "7.4.6",
- "resolved": "https://registry.npmjs.org/minimatch/-/minimatch-7.4.6.tgz",
- "integrity": "sha512-sBz8G/YjVniEz6lKPNpKxXwazJe4c19fEfV2GDMX6AjFz+MX9uDWIZW8XreVhkFW3fkIdTv/gxWr/Kks5FFAVw==",
- "dependencies": {
- "brace-expansion": "^2.0.1"
- },
- "engines": {
- "node": ">=10"
- },
- "funding": {
- "url": "https://github.com/sponsors/isaacs"
- }
- },
- "node_modules/@ts-morph/common/node_modules/mkdirp": {
- "version": "2.1.6",
- "resolved": "https://registry.npmjs.org/mkdirp/-/mkdirp-2.1.6.tgz",
- "integrity": "sha512-+hEnITedc8LAtIP9u3HJDFIdcLV2vXP33sqLLIzkv1Db1zO/1OxbvYf0Y1OC/S/Qo5dxHXepofhmxL02PsKe+A==",
- "bin": {
- "mkdirp": "dist/cjs/src/bin.js"
- },
- "engines": {
- "node": ">=10"
- },
- "funding": {
- "url": "https://github.com/sponsors/isaacs"
- }
- },
- "node_modules/@types/aria-query": {
- "version": "5.0.4",
- "resolved": "https://registry.npmjs.org/@types/aria-query/-/aria-query-5.0.4.tgz",
- "integrity": "sha512-rfT93uj5s0PRL7EzccGMs3brplhcrghnDoV26NqKhCAS1hVo+WdNsPvE/yb6ilfr5hi2MEk6d5EWJTKdxg8jVw==",
- "dev": true
- },
- "node_modules/@types/axios": {
- "version": "0.14.0",
- "resolved": "https://registry.npmjs.org/@types/axios/-/axios-0.14.0.tgz",
- "integrity": "sha512-KqQnQbdYE54D7oa/UmYVMZKq7CO4l8DEENzOKc4aBRwxCXSlJXGz83flFx5L7AWrOQnmuN3kVsRdt+GZPPjiVQ==",
- "deprecated": "This is a stub types definition for axios (https://github.com/mzabriskie/axios). axios provides its own type definitions, so you don't need @types/axios installed!",
- "dependencies": {
- "axios": "*"
- }
- },
- "node_modules/@types/cacheable-request": {
- "version": "6.0.3",
- "resolved": "https://registry.npmjs.org/@types/cacheable-request/-/cacheable-request-6.0.3.tgz",
- "integrity": "sha512-IQ3EbTzGxIigb1I3qPZc1rWJnH0BmSKv5QYTalEwweFvyBDLSAe24zP0le/hyi7ecGfZVlIVAg4BZqb8WBwKqw==",
- "dev": true,
- "dependencies": {
- "@types/http-cache-semantics": "*",
- "@types/keyv": "^3.1.4",
- "@types/node": "*",
- "@types/responselike": "^1.0.0"
- }
- },
- "node_modules/@types/cookie": {
- "version": "0.3.3",
- "resolved": "https://registry.npmjs.org/@types/cookie/-/cookie-0.3.3.tgz",
- "integrity": "sha512-LKVP3cgXBT9RYj+t+9FDKwS5tdI+rPBXaNSkma7hvqy35lc7mAokC2zsqWJH0LaqIt3B962nuYI77hsJoT1gow=="
- },
- "node_modules/@types/d3": {
- "version": "7.4.3",
- "resolved": "https://registry.npmjs.org/@types/d3/-/d3-7.4.3.tgz",
- "integrity": "sha512-lZXZ9ckh5R8uiFVt8ogUNf+pIrK4EsWrx2Np75WvF/eTpJ0FMHNhjXk8CKEx/+gpHbNQyJWehbFaTvqmHWB3ww==",
- "dependencies": {
- "@types/d3-array": "*",
- "@types/d3-axis": "*",
- "@types/d3-brush": "*",
- "@types/d3-chord": "*",
- "@types/d3-color": "*",
- "@types/d3-contour": "*",
- "@types/d3-delaunay": "*",
- "@types/d3-dispatch": "*",
- "@types/d3-drag": "*",
- "@types/d3-dsv": "*",
- "@types/d3-ease": "*",
- "@types/d3-fetch": "*",
- "@types/d3-force": "*",
- "@types/d3-format": "*",
- "@types/d3-geo": "*",
- "@types/d3-hierarchy": "*",
- "@types/d3-interpolate": "*",
- "@types/d3-path": "*",
- "@types/d3-polygon": "*",
- "@types/d3-quadtree": "*",
- "@types/d3-random": "*",
- "@types/d3-scale": "*",
- "@types/d3-scale-chromatic": "*",
- "@types/d3-selection": "*",
- "@types/d3-shape": "*",
- "@types/d3-time": "*",
- "@types/d3-time-format": "*",
- "@types/d3-timer": "*",
- "@types/d3-transition": "*",
- "@types/d3-zoom": "*"
- }
- },
- "node_modules/@types/d3-array": {
- "version": "3.2.1",
- "resolved": "https://registry.npmjs.org/@types/d3-array/-/d3-array-3.2.1.tgz",
- "integrity": "sha512-Y2Jn2idRrLzUfAKV2LyRImR+y4oa2AntrgID95SHJxuMUrkNXmanDSed71sRNZysveJVt1hLLemQZIady0FpEg=="
- },
- "node_modules/@types/d3-axis": {
- "version": "3.0.6",
- "resolved": "https://registry.npmjs.org/@types/d3-axis/-/d3-axis-3.0.6.tgz",
- "integrity": "sha512-pYeijfZuBd87T0hGn0FO1vQ/cgLk6E1ALJjfkC0oJ8cbwkZl3TpgS8bVBLZN+2jjGgg38epgxb2zmoGtSfvgMw==",
- "dependencies": {
- "@types/d3-selection": "*"
- }
- },
- "node_modules/@types/d3-brush": {
- "version": "3.0.6",
- "resolved": "https://registry.npmjs.org/@types/d3-brush/-/d3-brush-3.0.6.tgz",
- "integrity": "sha512-nH60IZNNxEcrh6L1ZSMNA28rj27ut/2ZmI3r96Zd+1jrZD++zD3LsMIjWlvg4AYrHn/Pqz4CF3veCxGjtbqt7A==",
- "dependencies": {
- "@types/d3-selection": "*"
- }
- },
- "node_modules/@types/d3-chord": {
- "version": "3.0.6",
- "resolved": "https://registry.npmjs.org/@types/d3-chord/-/d3-chord-3.0.6.tgz",
- "integrity": "sha512-LFYWWd8nwfwEmTZG9PfQxd17HbNPksHBiJHaKuY1XeqscXacsS2tyoo6OdRsjf+NQYeB6XrNL3a25E3gH69lcg=="
- },
- "node_modules/@types/d3-color": {
- "version": "3.1.3",
- "resolved": "https://registry.npmjs.org/@types/d3-color/-/d3-color-3.1.3.tgz",
- "integrity": "sha512-iO90scth9WAbmgv7ogoq57O9YpKmFBbmoEoCHDB2xMBY0+/KVrqAaCDyCE16dUspeOvIxFFRI+0sEtqDqy2b4A=="
- },
- "node_modules/@types/d3-contour": {
- "version": "3.0.6",
- "resolved": "https://registry.npmjs.org/@types/d3-contour/-/d3-contour-3.0.6.tgz",
- "integrity": "sha512-BjzLgXGnCWjUSYGfH1cpdo41/hgdWETu4YxpezoztawmqsvCeep+8QGfiY6YbDvfgHz/DkjeIkkZVJavB4a3rg==",
- "dependencies": {
- "@types/d3-array": "*",
- "@types/geojson": "*"
- }
- },
- "node_modules/@types/d3-delaunay": {
- "version": "6.0.4",
- "resolved": "https://registry.npmjs.org/@types/d3-delaunay/-/d3-delaunay-6.0.4.tgz",
- "integrity": "sha512-ZMaSKu4THYCU6sV64Lhg6qjf1orxBthaC161plr5KuPHo3CNm8DTHiLw/5Eq2b6TsNP0W0iJrUOFscY6Q450Hw=="
- },
- "node_modules/@types/d3-dispatch": {
- "version": "3.0.6",
- "resolved": "https://registry.npmjs.org/@types/d3-dispatch/-/d3-dispatch-3.0.6.tgz",
- "integrity": "sha512-4fvZhzMeeuBJYZXRXrRIQnvUYfyXwYmLsdiN7XXmVNQKKw1cM8a5WdID0g1hVFZDqT9ZqZEY5pD44p24VS7iZQ=="
- },
- "node_modules/@types/d3-drag": {
- "version": "3.0.7",
- "resolved": "https://registry.npmjs.org/@types/d3-drag/-/d3-drag-3.0.7.tgz",
- "integrity": "sha512-HE3jVKlzU9AaMazNufooRJ5ZpWmLIoc90A37WU2JMmeq28w1FQqCZswHZ3xR+SuxYftzHq6WU6KJHvqxKzTxxQ==",
- "dependencies": {
- "@types/d3-selection": "*"
- }
- },
- "node_modules/@types/d3-dsv": {
- "version": "3.0.7",
- "resolved": "https://registry.npmjs.org/@types/d3-dsv/-/d3-dsv-3.0.7.tgz",
- "integrity": "sha512-n6QBF9/+XASqcKK6waudgL0pf/S5XHPPI8APyMLLUHd8NqouBGLsU8MgtO7NINGtPBtk9Kko/W4ea0oAspwh9g=="
- },
- "node_modules/@types/d3-ease": {
- "version": "3.0.2",
- "resolved": "https://registry.npmjs.org/@types/d3-ease/-/d3-ease-3.0.2.tgz",
- "integrity": "sha512-NcV1JjO5oDzoK26oMzbILE6HW7uVXOHLQvHshBUW4UMdZGfiY6v5BeQwh9a9tCzv+CeefZQHJt5SRgK154RtiA=="
- },
- "node_modules/@types/d3-fetch": {
- "version": "3.0.7",
- "resolved": "https://registry.npmjs.org/@types/d3-fetch/-/d3-fetch-3.0.7.tgz",
- "integrity": "sha512-fTAfNmxSb9SOWNB9IoG5c8Hg6R+AzUHDRlsXsDZsNp6sxAEOP0tkP3gKkNSO/qmHPoBFTxNrjDprVHDQDvo5aA==",
- "dependencies": {
- "@types/d3-dsv": "*"
- }
- },
- "node_modules/@types/d3-force": {
- "version": "3.0.9",
- "resolved": "https://registry.npmjs.org/@types/d3-force/-/d3-force-3.0.9.tgz",
- "integrity": "sha512-IKtvyFdb4Q0LWna6ymywQsEYjK/94SGhPrMfEr1TIc5OBeziTi+1jcCvttts8e0UWZIxpasjnQk9MNk/3iS+kA=="
- },
- "node_modules/@types/d3-format": {
- "version": "3.0.4",
- "resolved": "https://registry.npmjs.org/@types/d3-format/-/d3-format-3.0.4.tgz",
- "integrity": "sha512-fALi2aI6shfg7vM5KiR1wNJnZ7r6UuggVqtDA+xiEdPZQwy/trcQaHnwShLuLdta2rTymCNpxYTiMZX/e09F4g=="
- },
- "node_modules/@types/d3-geo": {
- "version": "3.1.0",
- "resolved": "https://registry.npmjs.org/@types/d3-geo/-/d3-geo-3.1.0.tgz",
- "integrity": "sha512-856sckF0oP/diXtS4jNsiQw/UuK5fQG8l/a9VVLeSouf1/PPbBE1i1W852zVwKwYCBkFJJB7nCFTbk6UMEXBOQ==",
- "dependencies": {
- "@types/geojson": "*"
- }
- },
- "node_modules/@types/d3-hierarchy": {
- "version": "3.1.7",
- "resolved": "https://registry.npmjs.org/@types/d3-hierarchy/-/d3-hierarchy-3.1.7.tgz",
- "integrity": "sha512-tJFtNoYBtRtkNysX1Xq4sxtjK8YgoWUNpIiUee0/jHGRwqvzYxkq0hGVbbOGSz+JgFxxRu4K8nb3YpG3CMARtg=="
- },
- "node_modules/@types/d3-interpolate": {
- "version": "3.0.4",
- "resolved": "https://registry.npmjs.org/@types/d3-interpolate/-/d3-interpolate-3.0.4.tgz",
- "integrity": "sha512-mgLPETlrpVV1YRJIglr4Ez47g7Yxjl1lj7YKsiMCb27VJH9W8NVM6Bb9d8kkpG/uAQS5AmbA48q2IAolKKo1MA==",
- "dependencies": {
- "@types/d3-color": "*"
- }
- },
- "node_modules/@types/d3-path": {
- "version": "3.1.0",
- "resolved": "https://registry.npmjs.org/@types/d3-path/-/d3-path-3.1.0.tgz",
- "integrity": "sha512-P2dlU/q51fkOc/Gfl3Ul9kicV7l+ra934qBFXCFhrZMOL6du1TM0pm1ThYvENukyOn5h9v+yMJ9Fn5JK4QozrQ=="
- },
- "node_modules/@types/d3-polygon": {
- "version": "3.0.2",
- "resolved": "https://registry.npmjs.org/@types/d3-polygon/-/d3-polygon-3.0.2.tgz",
- "integrity": "sha512-ZuWOtMaHCkN9xoeEMr1ubW2nGWsp4nIql+OPQRstu4ypeZ+zk3YKqQT0CXVe/PYqrKpZAi+J9mTs05TKwjXSRA=="
- },
- "node_modules/@types/d3-quadtree": {
- "version": "3.0.6",
- "resolved": "https://registry.npmjs.org/@types/d3-quadtree/-/d3-quadtree-3.0.6.tgz",
- "integrity": "sha512-oUzyO1/Zm6rsxKRHA1vH0NEDG58HrT5icx/azi9MF1TWdtttWl0UIUsjEQBBh+SIkrpd21ZjEv7ptxWys1ncsg=="
- },
- "node_modules/@types/d3-random": {
- "version": "3.0.3",
- "resolved": "https://registry.npmjs.org/@types/d3-random/-/d3-random-3.0.3.tgz",
- "integrity": "sha512-Imagg1vJ3y76Y2ea0871wpabqp613+8/r0mCLEBfdtqC7xMSfj9idOnmBYyMoULfHePJyxMAw3nWhJxzc+LFwQ=="
- },
- "node_modules/@types/d3-scale": {
- "version": "4.0.8",
- "resolved": "https://registry.npmjs.org/@types/d3-scale/-/d3-scale-4.0.8.tgz",
- "integrity": "sha512-gkK1VVTr5iNiYJ7vWDI+yUFFlszhNMtVeneJ6lUTKPjprsvLLI9/tgEGiXJOnlINJA8FyA88gfnQsHbybVZrYQ==",
- "dependencies": {
- "@types/d3-time": "*"
- }
- },
- "node_modules/@types/d3-scale-chromatic": {
- "version": "3.0.3",
- "resolved": "https://registry.npmjs.org/@types/d3-scale-chromatic/-/d3-scale-chromatic-3.0.3.tgz",
- "integrity": "sha512-laXM4+1o5ImZv3RpFAsTRn3TEkzqkytiOY0Dz0sq5cnd1dtNlk6sHLon4OvqaiJb28T0S/TdsBI3Sjsy+keJrw=="
- },
- "node_modules/@types/d3-selection": {
- "version": "3.0.10",
- "resolved": "https://registry.npmjs.org/@types/d3-selection/-/d3-selection-3.0.10.tgz",
- "integrity": "sha512-cuHoUgS/V3hLdjJOLTT691+G2QoqAjCVLmr4kJXR4ha56w1Zdu8UUQ5TxLRqudgNjwXeQxKMq4j+lyf9sWuslg=="
- },
- "node_modules/@types/d3-shape": {
- "version": "3.1.6",
- "resolved": "https://registry.npmjs.org/@types/d3-shape/-/d3-shape-3.1.6.tgz",
- "integrity": "sha512-5KKk5aKGu2I+O6SONMYSNflgiP0WfZIQvVUMan50wHsLG1G94JlxEVnCpQARfTtzytuY0p/9PXXZb3I7giofIA==",
- "dependencies": {
- "@types/d3-path": "*"
- }
- },
- "node_modules/@types/d3-time": {
- "version": "3.0.3",
- "resolved": "https://registry.npmjs.org/@types/d3-time/-/d3-time-3.0.3.tgz",
- "integrity": "sha512-2p6olUZ4w3s+07q3Tm2dbiMZy5pCDfYwtLXXHUnVzXgQlZ/OyPtUz6OL382BkOuGlLXqfT+wqv8Fw2v8/0geBw=="
- },
- "node_modules/@types/d3-time-format": {
- "version": "4.0.3",
- "resolved": "https://registry.npmjs.org/@types/d3-time-format/-/d3-time-format-4.0.3.tgz",
- "integrity": "sha512-5xg9rC+wWL8kdDj153qZcsJ0FWiFt0J5RB6LYUNZjwSnesfblqrI/bJ1wBdJ8OQfncgbJG5+2F+qfqnqyzYxyg=="
- },
- "node_modules/@types/d3-timer": {
- "version": "3.0.2",
- "resolved": "https://registry.npmjs.org/@types/d3-timer/-/d3-timer-3.0.2.tgz",
- "integrity": "sha512-Ps3T8E8dZDam6fUyNiMkekK3XUsaUEik+idO9/YjPtfj2qruF8tFBXS7XhtE4iIXBLxhmLjP3SXpLhVf21I9Lw=="
- },
- "node_modules/@types/d3-transition": {
- "version": "3.0.8",
- "resolved": "https://registry.npmjs.org/@types/d3-transition/-/d3-transition-3.0.8.tgz",
- "integrity": "sha512-ew63aJfQ/ms7QQ4X7pk5NxQ9fZH/z+i24ZfJ6tJSfqxJMrYLiK01EAs2/Rtw/JreGUsS3pLPNV644qXFGnoZNQ==",
- "dependencies": {
- "@types/d3-selection": "*"
- }
- },
- "node_modules/@types/d3-zoom": {
- "version": "3.0.8",
- "resolved": "https://registry.npmjs.org/@types/d3-zoom/-/d3-zoom-3.0.8.tgz",
- "integrity": "sha512-iqMC4/YlFCSlO8+2Ii1GGGliCAY4XdeG748w5vQUbevlbDu0zSjH/+jojorQVBK/se0j6DUFNPBGSqD3YWYnDw==",
- "dependencies": {
- "@types/d3-interpolate": "*",
- "@types/d3-selection": "*"
- }
- },
- "node_modules/@types/debug": {
- "version": "4.1.12",
- "resolved": "https://registry.npmjs.org/@types/debug/-/debug-4.1.12.tgz",
- "integrity": "sha512-vIChWdVG3LG1SMxEvI/AK+FWJthlrqlTu7fbrlywTkkaONwk/UAGaULXRlf8vkzFBLVm0zkMdCquhL5aOjhXPQ==",
- "dependencies": {
- "@types/ms": "*"
- }
- },
- "node_modules/@types/estree": {
- "version": "1.0.5",
- "resolved": "https://registry.npmjs.org/@types/estree/-/estree-1.0.5.tgz",
- "integrity": "sha512-/kYRxGDLWzHOB7q+wtSUQlFrtcdUccpfy+X+9iMBpHK8QLLhx2wIPYuS5DYtR9Wa/YlZAbIovy7qVdB1Aq6Lyw=="
- },
- "node_modules/@types/geojson": {
- "version": "7946.0.14",
- "resolved": "https://registry.npmjs.org/@types/geojson/-/geojson-7946.0.14.tgz",
- "integrity": "sha512-WCfD5Ht3ZesJUsONdhvm84dmzWOiOzOAqOncN0++w0lBw1o8OuDNJF2McvvCef/yBqb/HYRahp1BYtODFQ8bRg=="
- },
- "node_modules/@types/hast": {
- "version": "2.3.10",
- "resolved": "https://registry.npmjs.org/@types/hast/-/hast-2.3.10.tgz",
- "integrity": "sha512-McWspRw8xx8J9HurkVBfYj0xKoE25tOFlHGdx4MJ5xORQrMGZNqJhVQWaIbm6Oyla5kYOXtDiopzKRJzEOkwJw==",
- "dependencies": {
- "@types/unist": "^2"
- }
- },
- "node_modules/@types/hoist-non-react-statics": {
- "version": "3.3.5",
- "resolved": "https://registry.npmjs.org/@types/hoist-non-react-statics/-/hoist-non-react-statics-3.3.5.tgz",
- "integrity": "sha512-SbcrWzkKBw2cdwRTwQAswfpB9g9LJWfjtUeW/jvNwbhC8cpmmNYVePa+ncbUe0rGTQ7G3Ff6mYUN2VMfLVr+Sg==",
- "dependencies": {
- "@types/react": "*",
- "hoist-non-react-statics": "^3.3.0"
- }
- },
- "node_modules/@types/http-cache-semantics": {
- "version": "4.0.4",
- "resolved": "https://registry.npmjs.org/@types/http-cache-semantics/-/http-cache-semantics-4.0.4.tgz",
- "integrity": "sha512-1m0bIFVc7eJWyve9S0RnuRgcQqF/Xd5QsUZAZeQFr1Q3/p9JWoQQEqmVy+DPTNpGXwhgIetAoYF8JSc33q29QA==",
- "dev": true
- },
- "node_modules/@types/jest": {
- "version": "27.5.2",
- "resolved": "https://registry.npmjs.org/@types/jest/-/jest-27.5.2.tgz",
- "integrity": "sha512-mpT8LJJ4CMeeahobofYWIjFo0xonRS/HfxnVEPMPFSQdGUt1uHCnoPT7Zhb+sjDU2wz0oKV0OLUR0WzrHNgfeA==",
- "dev": true,
- "dependencies": {
- "jest-matcher-utils": "^27.0.0",
- "pretty-format": "^27.0.0"
- }
- },
- "node_modules/@types/katex": {
- "version": "0.16.7",
- "resolved": "https://registry.npmjs.org/@types/katex/-/katex-0.16.7.tgz",
- "integrity": "sha512-HMwFiRujE5PjrgwHQ25+bsLJgowjGjm5Z8FVSf0N6PwgJrwxH0QxzHYDcKsTfV3wva0vzrpqMTJS2jXPr5BMEQ=="
- },
- "node_modules/@types/keyv": {
- "version": "3.1.4",
- "resolved": "https://registry.npmjs.org/@types/keyv/-/keyv-3.1.4.tgz",
- "integrity": "sha512-BQ5aZNSCpj7D6K2ksrRCTmKRLEpnPvWDiLPfoGyhZ++8YtiK9d/3DBKPJgry359X/P1PfruyYwvnvwFjuEiEIg==",
- "dev": true,
- "dependencies": {
- "@types/node": "*"
- }
- },
- "node_modules/@types/lodash": {
- "version": "4.17.4",
- "resolved": "https://registry.npmjs.org/@types/lodash/-/lodash-4.17.4.tgz",
- "integrity": "sha512-wYCP26ZLxaT3R39kiN2+HcJ4kTd3U1waI/cY7ivWYqFP6pW3ZNpvi6Wd6PHZx7T/t8z0vlkXMg3QYLa7DZ/IJQ==",
- "dev": true
- },
- "node_modules/@types/mathjax": {
- "version": "0.0.37",
- "resolved": "https://registry.npmjs.org/@types/mathjax/-/mathjax-0.0.37.tgz",
- "integrity": "sha512-y0WSZBtBNQwcYipTU/BhgeFu1EZNlFvUNCmkMXV9kBQZq7/o5z82dNVyH3yy2Xv5zzeNeQoHSL4Xm06+EQiH+g=="
- },
- "node_modules/@types/mdast": {
- "version": "3.0.15",
- "resolved": "https://registry.npmjs.org/@types/mdast/-/mdast-3.0.15.tgz",
- "integrity": "sha512-LnwD+mUEfxWMa1QpDraczIn6k0Ee3SMicuYSSzS6ZYl2gKS09EClnJYGd8Du6rfc5r/GZEk5o1mRb8TaTj03sQ==",
- "dependencies": {
- "@types/unist": "^2"
- }
- },
- "node_modules/@types/ms": {
- "version": "0.7.34",
- "resolved": "https://registry.npmjs.org/@types/ms/-/ms-0.7.34.tgz",
- "integrity": "sha512-nG96G3Wp6acyAgJqGasjODb+acrI7KltPiRxzHPXnP3NgI28bpQDRv53olbqGXbfcgF5aiiHmO3xpwEpS5Ld9g=="
- },
- "node_modules/@types/node": {
- "version": "16.18.97",
- "resolved": "https://registry.npmjs.org/@types/node/-/node-16.18.97.tgz",
- "integrity": "sha512-4muilE1Lbfn57unR+/nT9AFjWk0MtWi5muwCEJqnOvfRQDbSfLCUdN7vCIg8TYuaANfhLOV85ve+FNpiUsbSRg==",
- "devOptional": true
- },
- "node_modules/@types/prop-types": {
- "version": "15.7.12",
- "resolved": "https://registry.npmjs.org/@types/prop-types/-/prop-types-15.7.12.tgz",
- "integrity": "sha512-5zvhXYtRNRluoE/jAp4GVsSduVUzNWKkOZrCDBWYtE7biZywwdC2AcEzg+cSMLFRfVgeAFqpfNabiPjxFddV1Q=="
- },
- "node_modules/@types/react": {
- "version": "18.3.2",
- "resolved": "https://registry.npmjs.org/@types/react/-/react-18.3.2.tgz",
- "integrity": "sha512-Btgg89dAnqD4vV7R3hlwOxgqobUQKgx3MmrQRi0yYbs/P0ym8XozIAlkqVilPqHQwXs4e9Tf63rrCgl58BcO4w==",
- "dependencies": {
- "@types/prop-types": "*",
- "csstype": "^3.0.2"
- }
- },
- "node_modules/@types/react-dom": {
- "version": "18.3.0",
- "resolved": "https://registry.npmjs.org/@types/react-dom/-/react-dom-18.3.0.tgz",
- "integrity": "sha512-EhwApuTmMBmXuFOikhQLIBUn6uFg81SwLMOAUgodJF14SOBOCMdU04gDoYi0WOJJHD144TL32z4yDqCW3dnkQg==",
- "devOptional": true,
- "dependencies": {
- "@types/react": "*"
- }
- },
- "node_modules/@types/responselike": {
- "version": "1.0.3",
- "resolved": "https://registry.npmjs.org/@types/responselike/-/responselike-1.0.3.tgz",
- "integrity": "sha512-H/+L+UkTV33uf49PH5pCAUBVPNj2nDBXTN+qS1dOwyyg24l3CcicicCA7ca+HMvJBZcFgl5r8e+RR6elsb4Lyw==",
- "dev": true,
- "dependencies": {
- "@types/node": "*"
- }
- },
- "node_modules/@types/testing-library__jest-dom": {
- "version": "5.14.9",
- "resolved": "https://registry.npmjs.org/@types/testing-library__jest-dom/-/testing-library__jest-dom-5.14.9.tgz",
- "integrity": "sha512-FSYhIjFlfOpGSRyVoMBMuS3ws5ehFQODymf3vlI7U1K8c7PHwWwFY7VREfmsuzHSOnoKs/9/Y983ayOs7eRzqw==",
- "dev": true,
- "dependencies": {
- "@types/jest": "*"
- }
- },
- "node_modules/@types/unist": {
- "version": "2.0.10",
- "resolved": "https://registry.npmjs.org/@types/unist/-/unist-2.0.10.tgz",
- "integrity": "sha512-IfYcSBWE3hLpBg8+X2SEa8LVkJdJEkT2Ese2aaLs3ptGdVtABxndrMaxuFlQ1qdFf9Q5rDvDpxI3WwgvKFAsQA=="
- },
- "node_modules/@types/uuid": {
- "version": "9.0.8",
- "resolved": "https://registry.npmjs.org/@types/uuid/-/uuid-9.0.8.tgz",
- "integrity": "sha512-jg+97EGIcY9AGHJJRaaPVgetKDsrTgbRjQ5Msgjh/DQKEFl0DtyRr/VCOyD1T2R1MNeWPK/u7JoGhlDZnKBAfA==",
- "dev": true
- },
- "node_modules/@ungap/structured-clone": {
- "version": "1.2.0",
- "resolved": "https://registry.npmjs.org/@ungap/structured-clone/-/structured-clone-1.2.0.tgz",
- "integrity": "sha512-zuVdFrMJiuCDQUMCzQaD6KL28MjnqqN8XnAqiEq9PNm/hCPTSGfrXCOfwj1ow4LFb/tNymJPwsNbVePc1xFqrQ==",
- "dev": true
- },
- "node_modules/@vitejs/plugin-react-swc": {
- "version": "3.7.0",
- "resolved": "https://registry.npmjs.org/@vitejs/plugin-react-swc/-/plugin-react-swc-3.7.0.tgz",
- "integrity": "sha512-yrknSb3Dci6svCd/qhHqhFPDSw0QtjumcqdKMoNNzmOl5lMXTTiqzjWtG4Qask2HdvvzaNgSunbQGet8/GrKdA==",
- "dev": true,
- "dependencies": {
- "@swc/core": "^1.5.7"
- },
- "peerDependencies": {
- "vite": "^4 || ^5"
- }
- },
- "node_modules/abab": {
- "version": "2.0.6",
- "resolved": "https://registry.npmjs.org/abab/-/abab-2.0.6.tgz",
- "integrity": "sha512-j2afSsaIENvHZN2B8GOpF566vZ5WVk5opAiMTvWgaQT8DkbOqsTfvNAvHoRGU2zzP8cPoqys+xHTRDWW8L+/BA==",
- "deprecated": "Use your platform's native atob() and btoa() methods instead"
- },
- "node_modules/abbrev": {
- "version": "1.1.1",
- "resolved": "https://registry.npmjs.org/abbrev/-/abbrev-1.1.1.tgz",
- "integrity": "sha512-nne9/IiQ/hzIhY6pdDnbBtz7DjPTKrY00P/zvPSm5pOFkl6xuGrGnXn/VtTNNfNtAfZ9/1RtehkszU9qcTii0Q==",
- "optional": true
- },
- "node_modules/ace-builds": {
- "version": "1.34.0",
- "resolved": "https://registry.npmjs.org/ace-builds/-/ace-builds-1.34.0.tgz",
- "integrity": "sha512-ZQqoV76wl4guDE5zvEnxCDrvy9gzLAwu7eD4ikYj/Gdlb4+qRLbb+aOFVnweZZRsHh089V0WVaw2NMNuiiEdTw=="
- },
- "node_modules/acorn": {
- "version": "8.11.3",
- "resolved": "https://registry.npmjs.org/acorn/-/acorn-8.11.3.tgz",
- "integrity": "sha512-Y9rRfJG5jcKOE0CLisYbojUjIrIEE7AGMzA/Sm4BslANhbS+cDMpgBdcPT91oJ7OuJ9hYJBx59RjbhxVnrF8Xg==",
- "bin": {
- "acorn": "bin/acorn"
- },
- "engines": {
- "node": ">=0.4.0"
- }
- },
- "node_modules/acorn-globals": {
- "version": "7.0.1",
- "resolved": "https://registry.npmjs.org/acorn-globals/-/acorn-globals-7.0.1.tgz",
- "integrity": "sha512-umOSDSDrfHbTNPuNpC2NSnnA3LUrqpevPb4T9jRx4MagXNS0rs+gwiTcAvqCRmsD6utzsrzNt+ebm00SNWiC3Q==",
- "dependencies": {
- "acorn": "^8.1.0",
- "acorn-walk": "^8.0.2"
- }
- },
- "node_modules/acorn-jsx": {
- "version": "5.3.2",
- "resolved": "https://registry.npmjs.org/acorn-jsx/-/acorn-jsx-5.3.2.tgz",
- "integrity": "sha512-rq9s+JNhf0IChjtDXxllJ7g41oZk5SlXtp0LHwyA5cejwn7vKmKp4pPri6YEePv2PU65sAsegbXtIinmDFDXgQ==",
- "dev": true,
- "peerDependencies": {
- "acorn": "^6.0.0 || ^7.0.0 || ^8.0.0"
- }
- },
- "node_modules/acorn-walk": {
- "version": "8.3.2",
- "resolved": "https://registry.npmjs.org/acorn-walk/-/acorn-walk-8.3.2.tgz",
- "integrity": "sha512-cjkyv4OtNCIeqhHrfS81QWXoCBPExR/J62oyEqepVw8WaQeSqpW2uhuLPh1m9eWhDuOo/jUXVTlifvesOWp/4A==",
- "engines": {
- "node": ">=0.4.0"
- }
- },
- "node_modules/ag-grid-community": {
- "version": "31.3.2",
- "resolved": "https://registry.npmjs.org/ag-grid-community/-/ag-grid-community-31.3.2.tgz",
- "integrity": "sha512-GxqFRD0OcjaVRE1gwLgoP0oERNPH8Lk8wKJ1txulsxysEQ5dZWHhiIoXXSiHjvOCVMkK/F5qzY6HNrn6VeDMTQ=="
- },
- "node_modules/ag-grid-react": {
- "version": "31.3.2",
- "resolved": "https://registry.npmjs.org/ag-grid-react/-/ag-grid-react-31.3.2.tgz",
- "integrity": "sha512-SFHN05bsXp901rIT00Fa6iQLCtyavoJiKaXEDUtAU5LMu+GTkjs/FPQBQ8754omgdDFr4NsS3Ri6QbqBne3rug==",
- "dependencies": {
- "ag-grid-community": "31.3.2",
- "prop-types": "^15.8.1"
- },
- "peerDependencies": {
- "react": "^16.3.0 || ^17.0.0 || ^18.0.0",
- "react-dom": "^16.3.0 || ^17.0.0 || ^18.0.0"
- }
- },
- "node_modules/agent-base": {
- "version": "6.0.2",
- "resolved": "https://registry.npmjs.org/agent-base/-/agent-base-6.0.2.tgz",
- "integrity": "sha512-RZNwNclF7+MS/8bDg70amg32dyeZGZxiDuQmZxKLAlQjr3jGyLx+4Kkk58UO7D2QdgFIQCovuSuZESne6RG6XQ==",
- "dependencies": {
- "debug": "4"
- },
- "engines": {
- "node": ">= 6.0.0"
- }
- },
- "node_modules/ajv": {
- "version": "6.12.6",
- "resolved": "https://registry.npmjs.org/ajv/-/ajv-6.12.6.tgz",
- "integrity": "sha512-j3fVLgvTo527anyYyJOGTYJbG+vnnQYvE0m5mmkc1TK+nxAppkCLMIL0aZ4dblVCNoGShhm+kzE4ZUykBoMg4g==",
- "dev": true,
- "dependencies": {
- "fast-deep-equal": "^3.1.1",
- "fast-json-stable-stringify": "^2.0.0",
- "json-schema-traverse": "^0.4.1",
- "uri-js": "^4.2.2"
- },
- "funding": {
- "type": "github",
- "url": "https://github.com/sponsors/epoberezkin"
- }
- },
- "node_modules/ansi-regex": {
- "version": "5.0.1",
- "resolved": "https://registry.npmjs.org/ansi-regex/-/ansi-regex-5.0.1.tgz",
- "integrity": "sha512-quJQXlTSUGL2LH9SUXo8VwsY4soanhgo6LNSm84E1LBcE8s3O0wpdiRzyR9z/ZZJMlMWv37qOOb9pdJlMUEKFQ==",
- "engines": {
- "node": ">=8"
- }
- },
- "node_modules/ansi-styles": {
- "version": "3.2.1",
- "resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-3.2.1.tgz",
- "integrity": "sha512-VT0ZI6kZRdTh8YyJw3SMbYm/u+NqfsAxEpWO0Pf9sq8/e94WxxOpPKx9FR1FlyCtOVDNOQ+8ntlqFxiRc+r5qA==",
- "dependencies": {
- "color-convert": "^1.9.0"
- },
- "engines": {
- "node": ">=4"
- }
- },
- "node_modules/ansi-to-html": {
- "version": "0.7.2",
- "resolved": "https://registry.npmjs.org/ansi-to-html/-/ansi-to-html-0.7.2.tgz",
- "integrity": "sha512-v6MqmEpNlxF+POuyhKkidusCHWWkaLcGRURzivcU3I9tv7k4JVhFcnukrM5Rlk2rUywdZuzYAZ+kbZqWCnfN3g==",
- "dependencies": {
- "entities": "^2.2.0"
- },
- "bin": {
- "ansi-to-html": "bin/ansi-to-html"
- },
- "engines": {
- "node": ">=8.0.0"
- }
- },
- "node_modules/any-promise": {
- "version": "1.3.0",
- "resolved": "https://registry.npmjs.org/any-promise/-/any-promise-1.3.0.tgz",
- "integrity": "sha512-7UvmKalWRt1wgjL1RrGxoSJW/0QZFIegpeGvZG9kjp8vrRu55XTHbwnqq2GpXm9uLbcuhxm3IqX9OB4MZR1b2A=="
- },
- "node_modules/anymatch": {
- "version": "3.1.3",
- "resolved": "https://registry.npmjs.org/anymatch/-/anymatch-3.1.3.tgz",
- "integrity": "sha512-KMReFUr0B4t+D+OBkjR3KYqvocp2XaSzO55UcB6mgQMd3KbcE+mWTyvVV7D/zsdEbNnV6acZUutkiHQXvTr1Rw==",
- "dependencies": {
- "normalize-path": "^3.0.0",
- "picomatch": "^2.0.4"
- },
- "engines": {
- "node": ">= 8"
- }
- },
- "node_modules/aproba": {
- "version": "2.0.0",
- "resolved": "https://registry.npmjs.org/aproba/-/aproba-2.0.0.tgz",
- "integrity": "sha512-lYe4Gx7QT+MKGbDsA+Z+he/Wtef0BiwDOlK/XkBrdfsh9J/jPPXbX0tE9x9cl27Tmu5gg3QUbUrQYa/y+KOHPQ==",
- "optional": true
- },
- "node_modules/arch": {
- "version": "2.2.0",
- "resolved": "https://registry.npmjs.org/arch/-/arch-2.2.0.tgz",
- "integrity": "sha512-Of/R0wqp83cgHozfIYLbBMnej79U/SVGOOyuB3VVFv1NRM/PSFMK12x9KVtiYzJqmnU5WR2qp0Z5rHb7sWGnFQ==",
- "dev": true,
- "funding": [
- {
- "type": "github",
- "url": "https://github.com/sponsors/feross"
- },
- {
- "type": "patreon",
- "url": "https://www.patreon.com/feross"
- },
- {
- "type": "consulting",
- "url": "https://feross.org/support"
- }
- ]
- },
- "node_modules/are-we-there-yet": {
- "version": "2.0.0",
- "resolved": "https://registry.npmjs.org/are-we-there-yet/-/are-we-there-yet-2.0.0.tgz",
- "integrity": "sha512-Ci/qENmwHnsYo9xKIcUJN5LeDKdJ6R1Z1j9V/J5wyq8nh/mYPEpIKJbBZXtZjG04HiK7zV/p6Vs9952MrMeUIw==",
- "deprecated": "This package is no longer supported.",
- "optional": true,
- "dependencies": {
- "delegates": "^1.0.0",
- "readable-stream": "^3.6.0"
- },
- "engines": {
- "node": ">=10"
- }
- },
- "node_modules/arg": {
- "version": "5.0.2",
- "resolved": "https://registry.npmjs.org/arg/-/arg-5.0.2.tgz",
- "integrity": "sha512-PYjyFOLKQ9y57JvQ6QLo8dAgNqswh8M1RMJYdQduT6xbWSgK36P/Z/v+p888pM69jMMfS8Xd8F6I1kQ/I9HUGg=="
- },
- "node_modules/argparse": {
- "version": "2.0.1",
- "resolved": "https://registry.npmjs.org/argparse/-/argparse-2.0.1.tgz",
- "integrity": "sha512-8+9WqebbFzpX9OR+Wa6O29asIogeRMzcGtAINdpMHHyAg10f05aSFVBbcEqGf/PXw1EjAZ+q2/bEBg3DvurK3Q=="
- },
- "node_modules/aria-hidden": {
- "version": "1.2.4",
- "resolved": "https://registry.npmjs.org/aria-hidden/-/aria-hidden-1.2.4.tgz",
- "integrity": "sha512-y+CcFFwelSXpLZk/7fMB2mUbGtX9lKycf1MWJ7CaTIERyitVlyQx6C+sxcROU2BAJ24OiZyK+8wj2i8AlBoS3A==",
- "dependencies": {
- "tslib": "^2.0.0"
- },
- "engines": {
- "node": ">=10"
- }
- },
- "node_modules/aria-query": {
- "version": "5.3.0",
- "resolved": "https://registry.npmjs.org/aria-query/-/aria-query-5.3.0.tgz",
- "integrity": "sha512-b0P0sZPKtyu8HkeRAfCq0IfURZK+SuwMjY1UXGBU27wpAiTwQAIlq56IbIO+ytk/JjS1fMR14ee5WBBfKi5J6A==",
- "dev": true,
- "dependencies": {
- "dequal": "^2.0.3"
- }
- },
- "node_modules/array-buffer-byte-length": {
- "version": "1.0.1",
- "resolved": "https://registry.npmjs.org/array-buffer-byte-length/-/array-buffer-byte-length-1.0.1.tgz",
- "integrity": "sha512-ahC5W1xgou+KTXix4sAO8Ki12Q+jf4i0+tmk3sC+zgcynshkHxzpXdImBehiUYKKKDwvfFiJl1tZt6ewscS1Mg==",
- "dev": true,
- "dependencies": {
- "call-bind": "^1.0.5",
- "is-array-buffer": "^3.0.4"
- },
- "engines": {
- "node": ">= 0.4"
- },
- "funding": {
- "url": "https://github.com/sponsors/ljharb"
- }
- },
- "node_modules/asynckit": {
- "version": "0.4.0",
- "resolved": "https://registry.npmjs.org/asynckit/-/asynckit-0.4.0.tgz",
- "integrity": "sha512-Oei9OH4tRh0YqU3GxhX79dM/mwVgvbZJaSNaRk+bshkj0S5cfHcgYakreBjrHwatXKbz+IoIdYLxrKim2MjW0Q=="
- },
- "node_modules/autoprefixer": {
- "version": "10.4.19",
- "resolved": "https://registry.npmjs.org/autoprefixer/-/autoprefixer-10.4.19.tgz",
- "integrity": "sha512-BaENR2+zBZ8xXhM4pUaKUxlVdxZ0EZhjvbopwnXmxRUfqDmwSpC2lAi/QXvx7NRdPCo1WKEcEF6mV64si1z4Ew==",
- "dev": true,
- "funding": [
- {
- "type": "opencollective",
- "url": "https://opencollective.com/postcss/"
- },
- {
- "type": "tidelift",
- "url": "https://tidelift.com/funding/github/npm/autoprefixer"
- },
- {
- "type": "github",
- "url": "https://github.com/sponsors/ai"
- }
- ],
- "dependencies": {
- "browserslist": "^4.23.0",
- "caniuse-lite": "^1.0.30001599",
- "fraction.js": "^4.3.7",
- "normalize-range": "^0.1.2",
- "picocolors": "^1.0.0",
- "postcss-value-parser": "^4.2.0"
- },
- "bin": {
- "autoprefixer": "bin/autoprefixer"
- },
- "engines": {
- "node": "^10 || ^12 || >=14"
- },
- "peerDependencies": {
- "postcss": "^8.1.0"
- }
- },
- "node_modules/available-typed-arrays": {
- "version": "1.0.7",
- "resolved": "https://registry.npmjs.org/available-typed-arrays/-/available-typed-arrays-1.0.7.tgz",
- "integrity": "sha512-wvUjBtSGN7+7SjNpq/9M2Tg350UZD3q62IFZLbRAR1bSMlCo1ZaeW+BJ+D090e4hIIZLBcTDWe4Mh4jvUDajzQ==",
- "dev": true,
- "dependencies": {
- "possible-typed-array-names": "^1.0.0"
- },
- "engines": {
- "node": ">= 0.4"
- },
- "funding": {
- "url": "https://github.com/sponsors/ljharb"
- }
- },
- "node_modules/axios": {
- "version": "1.7.2",
- "resolved": "https://registry.npmjs.org/axios/-/axios-1.7.2.tgz",
- "integrity": "sha512-2A8QhOMrbomlDuiLeK9XibIBzuHeRcqqNOHp0Cyp5EoJ1IFDh+XZH3A6BkXtv0K4gFGCI0Y4BM7B1wOEi0Rmgw==",
- "dependencies": {
- "follow-redirects": "^1.15.6",
- "form-data": "^4.0.0",
- "proxy-from-env": "^1.1.0"
- }
- },
- "node_modules/bail": {
- "version": "2.0.2",
- "resolved": "https://registry.npmjs.org/bail/-/bail-2.0.2.tgz",
- "integrity": "sha512-0xO6mYd7JB2YesxDKplafRpsiOzPt9V02ddPCLbY1xYGPOX24NTyN50qnUxgCPcSoYMhKpAuBTjQoRZCAkUDRw==",
- "funding": {
- "type": "github",
- "url": "https://github.com/sponsors/wooorm"
- }
- },
- "node_modules/balanced-match": {
- "version": "1.0.2",
- "resolved": "https://registry.npmjs.org/balanced-match/-/balanced-match-1.0.2.tgz",
- "integrity": "sha512-3oSeUO0TMV67hN1AmbXsK4yaqU7tjiHlbxRDZOpH0KW9+CeX4bRAaX0Anxt0tx2MrpRpWwQaPwIlISEJhYU5Pw=="
- },
- "node_modules/base64-js": {
- "version": "1.5.1",
- "resolved": "https://registry.npmjs.org/base64-js/-/base64-js-1.5.1.tgz",
- "integrity": "sha512-AKpaYlHn8t4SVbOHCy+b5+KKgvR4vrsD8vbvrbiQJps7fKDTkjkDry6ji0rUJjC0kzbNePLwzxq8iypo41qeWA==",
- "funding": [
- {
- "type": "github",
- "url": "https://github.com/sponsors/feross"
- },
- {
- "type": "patreon",
- "url": "https://www.patreon.com/feross"
- },
- {
- "type": "consulting",
- "url": "https://feross.org/support"
- }
- ]
- },
- "node_modules/bin-check": {
- "version": "4.1.0",
- "resolved": "https://registry.npmjs.org/bin-check/-/bin-check-4.1.0.tgz",
- "integrity": "sha512-b6weQyEUKsDGFlACWSIOfveEnImkJyK/FGW6FAG42loyoquvjdtOIqO6yBFzHyqyVVhNgNkQxxx09SFLK28YnA==",
- "dev": true,
- "dependencies": {
- "execa": "^0.7.0",
- "executable": "^4.1.0"
- },
- "engines": {
- "node": ">=4"
- }
- },
- "node_modules/bin-version": {
- "version": "6.0.0",
- "resolved": "https://registry.npmjs.org/bin-version/-/bin-version-6.0.0.tgz",
- "integrity": "sha512-nk5wEsP4RiKjG+vF+uG8lFsEn4d7Y6FVDamzzftSunXOoOcOOkzcWdKVlGgFFwlUQCj63SgnUkLLGF8v7lufhw==",
- "dev": true,
- "dependencies": {
- "execa": "^5.0.0",
- "find-versions": "^5.0.0"
- },
- "engines": {
- "node": ">=12"
- },
- "funding": {
- "url": "https://github.com/sponsors/sindresorhus"
- }
- },
- "node_modules/bin-version-check": {
- "version": "5.1.0",
- "resolved": "https://registry.npmjs.org/bin-version-check/-/bin-version-check-5.1.0.tgz",
- "integrity": "sha512-bYsvMqJ8yNGILLz1KP9zKLzQ6YpljV3ln1gqhuLkUtyfGi3qXKGuK2p+U4NAvjVFzDFiBBtOpCOSFNuYYEGZ5g==",
- "dev": true,
- "dependencies": {
- "bin-version": "^6.0.0",
- "semver": "^7.5.3",
- "semver-truncate": "^3.0.0"
- },
- "engines": {
- "node": ">=12"
- },
- "funding": {
- "url": "https://github.com/sponsors/sindresorhus"
- }
- },
- "node_modules/bin-version-check/node_modules/semver": {
- "version": "7.6.2",
- "resolved": "https://registry.npmjs.org/semver/-/semver-7.6.2.tgz",
- "integrity": "sha512-FNAIBWCx9qcRhoHcgcJ0gvU7SN1lYU2ZXuSfl04bSC5OpvDHFyJCjdNHomPXxjQlCBU67YW64PzY7/VIEH7F2w==",
- "dev": true,
- "bin": {
- "semver": "bin/semver.js"
- },
- "engines": {
- "node": ">=10"
- }
- },
- "node_modules/bin-version/node_modules/execa": {
- "version": "5.1.1",
- "resolved": "https://registry.npmjs.org/execa/-/execa-5.1.1.tgz",
- "integrity": "sha512-8uSpZZocAZRBAPIEINJj3Lo9HyGitllczc27Eh5YYojjMFMn8yHMDMaUHE2Jqfq05D/wucwI4JGURyXt1vchyg==",
- "dev": true,
- "dependencies": {
- "cross-spawn": "^7.0.3",
- "get-stream": "^6.0.0",
- "human-signals": "^2.1.0",
- "is-stream": "^2.0.0",
- "merge-stream": "^2.0.0",
- "npm-run-path": "^4.0.1",
- "onetime": "^5.1.2",
- "signal-exit": "^3.0.3",
- "strip-final-newline": "^2.0.0"
- },
- "engines": {
- "node": ">=10"
- },
- "funding": {
- "url": "https://github.com/sindresorhus/execa?sponsor=1"
- }
- },
- "node_modules/bin-version/node_modules/get-stream": {
- "version": "6.0.1",
- "resolved": "https://registry.npmjs.org/get-stream/-/get-stream-6.0.1.tgz",
- "integrity": "sha512-ts6Wi+2j3jQjqi70w5AlN8DFnkSwC+MqmxEzdEALB2qXZYV3X/b1CTfgPLGJNMeAWxdPfU8FO1ms3NUfaHCPYg==",
- "dev": true,
- "engines": {
- "node": ">=10"
- },
- "funding": {
- "url": "https://github.com/sponsors/sindresorhus"
- }
- },
- "node_modules/bin-version/node_modules/is-stream": {
- "version": "2.0.1",
- "resolved": "https://registry.npmjs.org/is-stream/-/is-stream-2.0.1.tgz",
- "integrity": "sha512-hFoiJiTl63nn+kstHGBtewWSKnQLpyb155KHheA1l39uvtO9nWIop1p3udqPcUd/xbF1VLMO4n7OI6p7RbngDg==",
- "dev": true,
- "engines": {
- "node": ">=8"
- },
- "funding": {
- "url": "https://github.com/sponsors/sindresorhus"
- }
- },
- "node_modules/bin-version/node_modules/npm-run-path": {
- "version": "4.0.1",
- "resolved": "https://registry.npmjs.org/npm-run-path/-/npm-run-path-4.0.1.tgz",
- "integrity": "sha512-S48WzZW777zhNIrn7gxOlISNAqi9ZC/uQFnRdbeIHhZhCA6UqpkOT8T1G7BvfdgP4Er8gF4sUbaS0i7QvIfCWw==",
- "dev": true,
- "dependencies": {
- "path-key": "^3.0.0"
- },
- "engines": {
- "node": ">=8"
- }
- },
- "node_modules/binary-extensions": {
- "version": "2.3.0",
- "resolved": "https://registry.npmjs.org/binary-extensions/-/binary-extensions-2.3.0.tgz",
- "integrity": "sha512-Ceh+7ox5qe7LJuLHoY0feh3pHuUDHAcRUeyL2VYghZwfpkNIy/+8Ocg0a3UuSoYzavmylwuLWQOf3hl0jjMMIw==",
- "engines": {
- "node": ">=8"
- },
- "funding": {
- "url": "https://github.com/sponsors/sindresorhus"
- }
- },
- "node_modules/bl": {
- "version": "5.1.0",
- "resolved": "https://registry.npmjs.org/bl/-/bl-5.1.0.tgz",
- "integrity": "sha512-tv1ZJHLfTDnXE6tMHv73YgSJaWR2AFuPwMntBe7XL/GBFHnT0CLnsHMogfk5+GzCDC5ZWarSCYaIGATZt9dNsQ==",
- "dependencies": {
- "buffer": "^6.0.3",
- "inherits": "^2.0.4",
- "readable-stream": "^3.4.0"
- }
- },
- "node_modules/brace-expansion": {
- "version": "2.0.1",
- "resolved": "https://registry.npmjs.org/brace-expansion/-/brace-expansion-2.0.1.tgz",
- "integrity": "sha512-XnAIvQ8eM+kC6aULx6wuQiwVsnzsi9d3WxzV3FpWTGA19F621kwdbsAcFKXgKUHZWsy+mY6iL1sHTxWEFCytDA==",
- "dependencies": {
- "balanced-match": "^1.0.0"
- }
- },
- "node_modules/braces": {
- "version": "3.0.3",
- "resolved": "https://registry.npmjs.org/braces/-/braces-3.0.3.tgz",
- "integrity": "sha512-yQbXgO/OSZVD2IsiLlro+7Hf6Q18EJrKSEsdoMzKePKXct3gvD8oLcOQdIzGupr5Fj+EDe8gO/lxc1BzfMpxvA==",
- "dependencies": {
- "fill-range": "^7.1.1"
- },
- "engines": {
- "node": ">=8"
- }
- },
- "node_modules/browserslist": {
- "version": "4.23.0",
- "resolved": "https://registry.npmjs.org/browserslist/-/browserslist-4.23.0.tgz",
- "integrity": "sha512-QW8HiM1shhT2GuzkvklfjcKDiWFXHOeFCIA/huJPwHsslwcydgk7X+z2zXpEijP98UCY7HbubZt5J2Zgvf0CaQ==",
- "funding": [
- {
- "type": "opencollective",
- "url": "https://opencollective.com/browserslist"
- },
- {
- "type": "tidelift",
- "url": "https://tidelift.com/funding/github/npm/browserslist"
- },
- {
- "type": "github",
- "url": "https://github.com/sponsors/ai"
- }
- ],
- "dependencies": {
- "caniuse-lite": "^1.0.30001587",
- "electron-to-chromium": "^1.4.668",
- "node-releases": "^2.0.14",
- "update-browserslist-db": "^1.0.13"
- },
- "bin": {
- "browserslist": "cli.js"
- },
- "engines": {
- "node": "^6 || ^7 || ^8 || ^9 || ^10 || ^11 || ^12 || >=13.7"
- }
- },
- "node_modules/buffer": {
- "version": "6.0.3",
- "resolved": "https://registry.npmjs.org/buffer/-/buffer-6.0.3.tgz",
- "integrity": "sha512-FTiCpNxtwiZZHEZbcbTIcZjERVICn9yq/pDFkTl95/AxzD1naBctN7YO68riM/gLSDY7sdrMby8hofADYuuqOA==",
- "funding": [
- {
- "type": "github",
- "url": "https://github.com/sponsors/feross"
- },
- {
- "type": "patreon",
- "url": "https://www.patreon.com/feross"
- },
- {
- "type": "consulting",
- "url": "https://feross.org/support"
- }
- ],
- "dependencies": {
- "base64-js": "^1.3.1",
- "ieee754": "^1.2.1"
- }
- },
- "node_modules/cacheable-lookup": {
- "version": "5.0.4",
- "resolved": "https://registry.npmjs.org/cacheable-lookup/-/cacheable-lookup-5.0.4.tgz",
- "integrity": "sha512-2/kNscPhpcxrOigMZzbiWF7dz8ilhb/nIHU3EyZiXWXpeq/au8qJ8VhdftMkty3n7Gj6HIGalQG8oiBNB3AJgA==",
- "dev": true,
- "engines": {
- "node": ">=10.6.0"
- }
- },
- "node_modules/cacheable-request": {
- "version": "7.0.4",
- "resolved": "https://registry.npmjs.org/cacheable-request/-/cacheable-request-7.0.4.tgz",
- "integrity": "sha512-v+p6ongsrp0yTGbJXjgxPow2+DL93DASP4kXCDKb8/bwRtt9OEF3whggkkDkGNzgcWy2XaF4a8nZglC7uElscg==",
- "dev": true,
- "dependencies": {
- "clone-response": "^1.0.2",
- "get-stream": "^5.1.0",
- "http-cache-semantics": "^4.0.0",
- "keyv": "^4.0.0",
- "lowercase-keys": "^2.0.0",
- "normalize-url": "^6.0.1",
- "responselike": "^2.0.0"
- },
- "engines": {
- "node": ">=8"
- }
- },
- "node_modules/cacheable-request/node_modules/get-stream": {
- "version": "5.2.0",
- "resolved": "https://registry.npmjs.org/get-stream/-/get-stream-5.2.0.tgz",
- "integrity": "sha512-nBF+F1rAZVCu/p7rjzgA+Yb4lfYXrpl7a6VmJrU8wF9I1CKvP/QwPNZHnOlwbTkY6dvtFIzFMSyQXbLoTQPRpA==",
- "dev": true,
- "dependencies": {
- "pump": "^3.0.0"
- },
- "engines": {
- "node": ">=8"
- },
- "funding": {
- "url": "https://github.com/sponsors/sindresorhus"
- }
- },
- "node_modules/call-bind": {
- "version": "1.0.7",
- "resolved": "https://registry.npmjs.org/call-bind/-/call-bind-1.0.7.tgz",
- "integrity": "sha512-GHTSNSYICQ7scH7sZ+M2rFopRoLh8t2bLSW6BbgrtLsahOIB5iyAVJf9GjWK3cYTDaMj4XdBpM1cA6pIS0Kv2w==",
- "dev": true,
- "dependencies": {
- "es-define-property": "^1.0.0",
- "es-errors": "^1.3.0",
- "function-bind": "^1.1.2",
- "get-intrinsic": "^1.2.4",
- "set-function-length": "^1.2.1"
- },
- "engines": {
- "node": ">= 0.4"
- },
- "funding": {
- "url": "https://github.com/sponsors/ljharb"
- }
- },
- "node_modules/callsites": {
- "version": "3.1.0",
- "resolved": "https://registry.npmjs.org/callsites/-/callsites-3.1.0.tgz",
- "integrity": "sha512-P8BjAsXvZS+VIDUI11hHCQEv74YT67YUi5JJFNWIqL235sBmjX4+qx9Muvls5ivyNENctx46xQLQ3aTuE7ssaQ==",
- "engines": {
- "node": ">=6"
- }
- },
- "node_modules/camelcase": {
- "version": "6.3.0",
- "resolved": "https://registry.npmjs.org/camelcase/-/camelcase-6.3.0.tgz",
- "integrity": "sha512-Gmy6FhYlCY7uOElZUSbxo2UCDH8owEk996gkbrpsgGtrJLM3J7jGxl9Ic7Qwwj4ivOE5AWZWRMecDdF7hqGjFA==",
- "engines": {
- "node": ">=10"
- },
- "funding": {
- "url": "https://github.com/sponsors/sindresorhus"
- }
- },
- "node_modules/camelcase-css": {
- "version": "2.0.1",
- "resolved": "https://registry.npmjs.org/camelcase-css/-/camelcase-css-2.0.1.tgz",
- "integrity": "sha512-QOSvevhslijgYwRx6Rv7zKdMF8lbRmx+uQGx2+vDc+KI/eBnsy9kit5aj23AgGu3pa4t9AgwbnXWqS+iOY+2aA==",
- "engines": {
- "node": ">= 6"
- }
- },
- "node_modules/caniuse-lite": {
- "version": "1.0.30001621",
- "resolved": "https://registry.npmjs.org/caniuse-lite/-/caniuse-lite-1.0.30001621.tgz",
- "integrity": "sha512-+NLXZiviFFKX0fk8Piwv3PfLPGtRqJeq2TiNoUff/qB5KJgwecJTvCXDpmlyP/eCI/GUEmp/h/y5j0yckiiZrA==",
- "funding": [
- {
- "type": "opencollective",
- "url": "https://opencollective.com/browserslist"
- },
- {
- "type": "tidelift",
- "url": "https://tidelift.com/funding/github/npm/caniuse-lite"
- },
- {
- "type": "github",
- "url": "https://github.com/sponsors/ai"
- }
- ]
- },
- "node_modules/canvas": {
- "version": "2.11.2",
- "resolved": "https://registry.npmjs.org/canvas/-/canvas-2.11.2.tgz",
- "integrity": "sha512-ItanGBMrmRV7Py2Z+Xhs7cT+FNt5K0vPL4p9EZ/UX/Mu7hFbkxSjKF2KVtPwX7UYWp7dRKnrTvReflgrItJbdw==",
- "hasInstallScript": true,
- "optional": true,
- "dependencies": {
- "@mapbox/node-pre-gyp": "^1.0.0",
- "nan": "^2.17.0",
- "simple-get": "^3.0.3"
- },
- "engines": {
- "node": ">=6"
- }
- },
- "node_modules/ccount": {
- "version": "2.0.1",
- "resolved": "https://registry.npmjs.org/ccount/-/ccount-2.0.1.tgz",
- "integrity": "sha512-eyrF0jiFpY+3drT6383f1qhkbGsLSifNAjA61IUjZjmLCWjItY6LB9ft9YhoDgwfmclB2zhu51Lc7+95b8NRAg==",
- "funding": {
- "type": "github",
- "url": "https://github.com/sponsors/wooorm"
- }
- },
- "node_modules/chalk": {
- "version": "2.4.2",
- "resolved": "https://registry.npmjs.org/chalk/-/chalk-2.4.2.tgz",
- "integrity": "sha512-Mti+f9lpJNcwF4tWV8/OrTTtF1gZi+f8FqlyAdouralcFWFQWF2+NgCHShjkCb+IFBLq9buZwE1xckQU4peSuQ==",
- "dependencies": {
- "ansi-styles": "^3.2.1",
- "escape-string-regexp": "^1.0.5",
- "supports-color": "^5.3.0"
- },
- "engines": {
- "node": ">=4"
- }
- },
- "node_modules/character-entities": {
- "version": "1.2.4",
- "resolved": "https://registry.npmjs.org/character-entities/-/character-entities-1.2.4.tgz",
- "integrity": "sha512-iBMyeEHxfVnIakwOuDXpVkc54HijNgCyQB2w0VfGQThle6NXn50zU6V/u+LDhxHcDUPojn6Kpga3PTAD8W1bQw==",
- "funding": {
- "type": "github",
- "url": "https://github.com/sponsors/wooorm"
- }
- },
- "node_modules/character-entities-legacy": {
- "version": "1.1.4",
- "resolved": "https://registry.npmjs.org/character-entities-legacy/-/character-entities-legacy-1.1.4.tgz",
- "integrity": "sha512-3Xnr+7ZFS1uxeiUDvV02wQ+QDbc55o97tIV5zHScSPJpcLm/r0DFPcoY3tYRp+VZukxuMeKgXYmsXQHO05zQeA==",
- "funding": {
- "type": "github",
- "url": "https://github.com/sponsors/wooorm"
- }
- },
- "node_modules/character-reference-invalid": {
- "version": "1.1.4",
- "resolved": "https://registry.npmjs.org/character-reference-invalid/-/character-reference-invalid-1.1.4.tgz",
- "integrity": "sha512-mKKUkUbhPpQlCOfIuZkvSEgktjPFIsZKRRbC6KWVEMvlzblj3i3asQv5ODsrwt0N3pHAEvjP8KTQPHkp0+6jOg==",
- "funding": {
- "type": "github",
- "url": "https://github.com/sponsors/wooorm"
- }
- },
- "node_modules/chokidar": {
- "version": "3.6.0",
- "resolved": "https://registry.npmjs.org/chokidar/-/chokidar-3.6.0.tgz",
- "integrity": "sha512-7VT13fmjotKpGipCW9JEQAusEPE+Ei8nl6/g4FBAmIm0GOOLMua9NDDo/DWp0ZAxCr3cPq5ZpBqmPAQgDda2Pw==",
- "dependencies": {
- "anymatch": "~3.1.2",
- "braces": "~3.0.2",
- "glob-parent": "~5.1.2",
- "is-binary-path": "~2.1.0",
- "is-glob": "~4.0.1",
- "normalize-path": "~3.0.0",
- "readdirp": "~3.6.0"
- },
- "engines": {
- "node": ">= 8.10.0"
- },
- "funding": {
- "url": "https://paulmillr.com/funding/"
- },
- "optionalDependencies": {
- "fsevents": "~2.3.2"
- }
- },
- "node_modules/chokidar/node_modules/glob-parent": {
- "version": "5.1.2",
- "resolved": "https://registry.npmjs.org/glob-parent/-/glob-parent-5.1.2.tgz",
- "integrity": "sha512-AOIgSQCepiJYwP3ARnGx+5VnTu2HBYdzbGP45eLw1vr3zB3vZLeyed1sC9hnbcOc9/SrMyM5RPQrkGz4aS9Zow==",
- "dependencies": {
- "is-glob": "^4.0.1"
- },
- "engines": {
- "node": ">= 6"
- }
- },
- "node_modules/chownr": {
- "version": "2.0.0",
- "resolved": "https://registry.npmjs.org/chownr/-/chownr-2.0.0.tgz",
- "integrity": "sha512-bIomtDF5KGpdogkLd9VspvFzk9KfpyyGlS8YFVZl7TGPBHL5snIOnxeshwVgPteQ9b4Eydl+pVbIyE1DcvCWgQ==",
- "optional": true,
- "engines": {
- "node": ">=10"
- }
- },
- "node_modules/class-variance-authority": {
- "version": "0.6.1",
- "resolved": "https://registry.npmjs.org/class-variance-authority/-/class-variance-authority-0.6.1.tgz",
- "integrity": "sha512-eurOEGc7YVx3majOrOb099PNKgO3KnKSApOprXI4BTq6bcfbqbQXPN2u+rPPmIJ2di23bMwhk0SxCCthBmszEQ==",
- "dependencies": {
- "clsx": "1.2.1"
- },
- "funding": {
- "url": "https://joebell.co.uk"
- }
- },
- "node_modules/classcat": {
- "version": "5.0.5",
- "resolved": "https://registry.npmjs.org/classcat/-/classcat-5.0.5.tgz",
- "integrity": "sha512-JhZUT7JFcQy/EzW605k/ktHtncoo9vnyW/2GspNYwFlN1C/WmjuV/xtS04e9SOkL2sTdw0VAZ2UGCcQ9lR6p6w=="
- },
- "node_modules/cli-cursor": {
- "version": "4.0.0",
- "resolved": "https://registry.npmjs.org/cli-cursor/-/cli-cursor-4.0.0.tgz",
- "integrity": "sha512-VGtlMu3x/4DOtIUwEkRezxUZ2lBacNJCHash0N0WeZDBS+7Ux1dm3XWAgWYxLJFMMdOeXMHXorshEFhbMSGelg==",
- "dependencies": {
- "restore-cursor": "^4.0.0"
- },
- "engines": {
- "node": "^12.20.0 || ^14.13.1 || >=16.0.0"
- },
- "funding": {
- "url": "https://github.com/sponsors/sindresorhus"
- }
- },
- "node_modules/cli-high": {
- "version": "0.4.1",
- "resolved": "https://registry.npmjs.org/cli-high/-/cli-high-0.4.1.tgz",
- "integrity": "sha512-fPbkILfCVG6mfxbsJbJZQsKE5JmfgJNlfBxap52XHXjLwPDhs/OMFVFrNR7bqiavZt2r5A80+wiRHzJyzWqwEQ==",
- "hasInstallScript": true,
- "dependencies": {
- "@clack/prompts": "^0.7.0",
- "sugar-high": "^0.6.1",
- "xycolors": "^0.1.1",
- "yargs": "^17.7.2"
- },
- "bin": {
- "cli-high": "bin/index.js"
- },
- "funding": {
- "url": "https://github.com/sponsors/xinyao27"
- }
- },
- "node_modules/cli-spinners": {
- "version": "2.9.2",
- "resolved": "https://registry.npmjs.org/cli-spinners/-/cli-spinners-2.9.2.tgz",
- "integrity": "sha512-ywqV+5MmyL4E7ybXgKys4DugZbX0FC6LnwrhjuykIjnK9k8OQacQ7axGKnjDXWNhns0xot3bZI5h55H8yo9cJg==",
- "engines": {
- "node": ">=6"
- },
- "funding": {
- "url": "https://github.com/sponsors/sindresorhus"
- }
- },
- "node_modules/client-only": {
- "version": "0.0.1",
- "resolved": "https://registry.npmjs.org/client-only/-/client-only-0.0.1.tgz",
- "integrity": "sha512-IV3Ou0jSMzZrd3pZ48nLkT9DA7Ag1pnPzaiQhpW7c3RbcqqzvzzVu+L8gfqMp/8IM2MQtSiqaCxrrcfu8I8rMA=="
- },
- "node_modules/cliui": {
- "version": "8.0.1",
- "resolved": "https://registry.npmjs.org/cliui/-/cliui-8.0.1.tgz",
- "integrity": "sha512-BSeNnyus75C4//NQ9gQt1/csTXyo/8Sb+afLAkzAptFuMsod9HFokGNudZpi/oQV73hnVK+sR+5PVRMd+Dr7YQ==",
- "dependencies": {
- "string-width": "^4.2.0",
- "strip-ansi": "^6.0.1",
- "wrap-ansi": "^7.0.0"
- },
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/clone": {
- "version": "1.0.4",
- "resolved": "https://registry.npmjs.org/clone/-/clone-1.0.4.tgz",
- "integrity": "sha512-JQHZ2QMW6l3aH/j6xCqQThY/9OH4D/9ls34cgkUBiEeocRTU04tHfKPBsUK1PqZCUQM7GiA0IIXJSuXHI64Kbg==",
- "engines": {
- "node": ">=0.8"
- }
- },
- "node_modules/clone-response": {
- "version": "1.0.3",
- "resolved": "https://registry.npmjs.org/clone-response/-/clone-response-1.0.3.tgz",
- "integrity": "sha512-ROoL94jJH2dUVML2Y/5PEDNaSHgeOdSDicUyS7izcF63G6sTc/FTjLub4b8Il9S8S0beOfYt0TaA5qvFK+w0wA==",
- "dev": true,
- "dependencies": {
- "mimic-response": "^1.0.0"
- },
- "funding": {
- "url": "https://github.com/sponsors/sindresorhus"
- }
- },
- "node_modules/clsx": {
- "version": "1.2.1",
- "resolved": "https://registry.npmjs.org/clsx/-/clsx-1.2.1.tgz",
- "integrity": "sha512-EcR6r5a8bj6pu3ycsa/E/cKVGuTgZJZdsyUYHOksG/UHIiKfjxzRxYJpyVBwYaQeOvghal9fcc4PidlgzugAQg==",
- "engines": {
- "node": ">=6"
- }
- },
- "node_modules/cmdk": {
- "version": "1.0.0",
- "resolved": "https://registry.npmjs.org/cmdk/-/cmdk-1.0.0.tgz",
- "integrity": "sha512-gDzVf0a09TvoJ5jnuPvygTB77+XdOSwEmJ88L6XPFPlv7T3RxbP9jgenfylrAMD0+Le1aO0nVjQUzl2g+vjz5Q==",
- "dependencies": {
- "@radix-ui/react-dialog": "1.0.5",
- "@radix-ui/react-primitive": "1.0.3"
- },
- "peerDependencies": {
- "react": "^18.0.0",
- "react-dom": "^18.0.0"
- }
- },
- "node_modules/code-block-writer": {
- "version": "12.0.0",
- "resolved": "https://registry.npmjs.org/code-block-writer/-/code-block-writer-12.0.0.tgz",
- "integrity": "sha512-q4dMFMlXtKR3XNBHyMHt/3pwYNA69EDk00lloMOaaUMKPUXBw6lpXtbu3MMVG6/uOihGnRDOlkyqsONEUj60+w=="
- },
- "node_modules/color-convert": {
- "version": "1.9.3",
- "resolved": "https://registry.npmjs.org/color-convert/-/color-convert-1.9.3.tgz",
- "integrity": "sha512-QfAUtd+vFdAtFQcC8CCyYt1fYWxSqAiK2cSD6zDB8N3cpsEBAvRxp9zOGg6G/SHHJYAT88/az/IuDGALsNVbGg==",
- "dependencies": {
- "color-name": "1.1.3"
- }
- },
- "node_modules/color-name": {
- "version": "1.1.3",
- "resolved": "https://registry.npmjs.org/color-name/-/color-name-1.1.3.tgz",
- "integrity": "sha512-72fSenhMw2HZMTVHeCA9KCmpEIbzWiQsjN+BHcBbS9vr1mtt+vJjPdksIBNUmKAW8TFUDPJK5SUU3QhE9NEXDw=="
- },
- "node_modules/color-support": {
- "version": "1.1.3",
- "resolved": "https://registry.npmjs.org/color-support/-/color-support-1.1.3.tgz",
- "integrity": "sha512-qiBjkpbMLO/HL68y+lh4q0/O1MZFj2RX6X/KmMa3+gJD3z+WwI1ZzDHysvqHGS3mP6mznPckpXmw1nI9cJjyRg==",
- "optional": true,
- "bin": {
- "color-support": "bin.js"
- }
- },
- "node_modules/combined-stream": {
- "version": "1.0.8",
- "resolved": "https://registry.npmjs.org/combined-stream/-/combined-stream-1.0.8.tgz",
- "integrity": "sha512-FQN4MRfuJeHf7cBbBMJFXhKSDq+2kAArBlmRBvcvFE5BB1HZKXtSFASDhdlz9zOYwxh8lDdnvmMOe/+5cdoEdg==",
- "dependencies": {
- "delayed-stream": "~1.0.0"
- },
- "engines": {
- "node": ">= 0.8"
- }
- },
- "node_modules/comma-separated-tokens": {
- "version": "2.0.3",
- "resolved": "https://registry.npmjs.org/comma-separated-tokens/-/comma-separated-tokens-2.0.3.tgz",
- "integrity": "sha512-Fu4hJdvzeylCfQPp9SGWidpzrMs7tTrlu6Vb8XGaRGck8QSNZJJp538Wrb60Lax4fPwR64ViY468OIUTbRlGZg==",
- "funding": {
- "type": "github",
- "url": "https://github.com/sponsors/wooorm"
- }
- },
- "node_modules/commander": {
- "version": "7.2.0",
- "resolved": "https://registry.npmjs.org/commander/-/commander-7.2.0.tgz",
- "integrity": "sha512-QrWXB+ZQSVPmIWIhtEO9H+gwHaMGYiF5ChvoJ+K9ZGHG/sVsa6yiesAD1GC/x46sET00Xlwo1u49RVVVzvcSkw==",
- "dev": true,
- "engines": {
- "node": ">= 10"
- }
- },
- "node_modules/concat-map": {
- "version": "0.0.1",
- "resolved": "https://registry.npmjs.org/concat-map/-/concat-map-0.0.1.tgz",
- "integrity": "sha512-/Srv4dswyQNBfohGpz9o6Yb3Gz3SrUDqBH5rTuhGR7ahtlbYKnVxw2bCFMRljaA7EXHaXZ8wsHdodFvbkhKmqg==",
- "devOptional": true
- },
- "node_modules/console-control-strings": {
- "version": "1.1.0",
- "resolved": "https://registry.npmjs.org/console-control-strings/-/console-control-strings-1.1.0.tgz",
- "integrity": "sha512-ty/fTekppD2fIwRvnZAVdeOiGd1c7YXEixbgJTNzqcxJWKQnjJ/V1bNEEE6hygpM3WjwHFUVK6HTjWSzV4a8sQ==",
- "optional": true
- },
- "node_modules/content-disposition": {
- "version": "0.5.4",
- "resolved": "https://registry.npmjs.org/content-disposition/-/content-disposition-0.5.4.tgz",
- "integrity": "sha512-FveZTNuGw04cxlAiWbzi6zTAL/lhehaWbTtgluJh4/E95DqMwTmha3KZN1aAWA8cFIhHzMZUvLevkw5Rqk+tSQ==",
- "dev": true,
- "dependencies": {
- "safe-buffer": "5.2.1"
- },
- "engines": {
- "node": ">= 0.6"
- }
- },
- "node_modules/convert-source-map": {
- "version": "2.0.0",
- "resolved": "https://registry.npmjs.org/convert-source-map/-/convert-source-map-2.0.0.tgz",
- "integrity": "sha512-Kvp459HrV2FEJ1CAsi1Ku+MY3kasH19TFykTz2xWmMeq6bk2NU3XXvfJ+Q61m0xktWwt+1HSYf3JZsTms3aRJg=="
- },
- "node_modules/cookie": {
- "version": "0.4.2",
- "resolved": "https://registry.npmjs.org/cookie/-/cookie-0.4.2.tgz",
- "integrity": "sha512-aSWTXFzaKWkvHO1Ny/s+ePFpvKsPnjc551iI41v3ny/ow6tBG5Vd+FuqGNhh1LxOmVzOlGUriIlOaokOvhaStA==",
- "engines": {
- "node": ">= 0.6"
- }
- },
- "node_modules/cosmiconfig": {
- "version": "8.3.6",
- "resolved": "https://registry.npmjs.org/cosmiconfig/-/cosmiconfig-8.3.6.tgz",
- "integrity": "sha512-kcZ6+W5QzcJ3P1Mt+83OUv/oHFqZHIx8DuxG6eZ5RGMERoLqp4BuGjhHLYGK+Kf5XVkQvqBSmAy/nGWN3qDgEA==",
- "dependencies": {
- "import-fresh": "^3.3.0",
- "js-yaml": "^4.1.0",
- "parse-json": "^5.2.0",
- "path-type": "^4.0.0"
- },
- "engines": {
- "node": ">=14"
- },
- "funding": {
- "url": "https://github.com/sponsors/d-fischer"
- },
- "peerDependencies": {
- "typescript": ">=4.9.5"
- },
- "peerDependenciesMeta": {
- "typescript": {
- "optional": true
- }
- }
- },
- "node_modules/cross-spawn": {
- "version": "7.0.3",
- "resolved": "https://registry.npmjs.org/cross-spawn/-/cross-spawn-7.0.3.tgz",
- "integrity": "sha512-iRDPJKUPVEND7dHPO8rkbOnPpyDygcDFtWjpeWNCgy8WP2rXcxXL8TskReQl6OrB2G7+UJrags1q15Fudc7G6w==",
- "dependencies": {
- "path-key": "^3.1.0",
- "shebang-command": "^2.0.0",
- "which": "^2.0.1"
- },
- "engines": {
- "node": ">= 8"
- }
- },
- "node_modules/css-selector-tokenizer": {
- "version": "0.8.0",
- "resolved": "https://registry.npmjs.org/css-selector-tokenizer/-/css-selector-tokenizer-0.8.0.tgz",
- "integrity": "sha512-Jd6Ig3/pe62/qe5SBPTN8h8LeUg/pT4lLgtavPf7updwwHpvFzxvOQBHYj2LZDMjUnBzgvIUSjRcf6oT5HzHFg==",
- "dev": true,
- "dependencies": {
- "cssesc": "^3.0.0",
- "fastparse": "^1.1.2"
- }
- },
- "node_modules/css.escape": {
- "version": "1.5.1",
- "resolved": "https://registry.npmjs.org/css.escape/-/css.escape-1.5.1.tgz",
- "integrity": "sha512-YUifsXXuknHlUsmlgyY0PKzgPOr7/FjCePfHNt0jxm83wHZi44VDMQ7/fGNkjY3/jV1MC+1CmZbaHzugyeRtpg==",
- "dev": true
- },
- "node_modules/cssesc": {
- "version": "3.0.0",
- "resolved": "https://registry.npmjs.org/cssesc/-/cssesc-3.0.0.tgz",
- "integrity": "sha512-/Tb/JcjK111nNScGob5MNtsntNM1aCNUDipB/TkwZFhyDrrE47SOx/18wF2bbjgc3ZzCSKW1T5nt5EbFoAz/Vg==",
- "bin": {
- "cssesc": "bin/cssesc"
- },
- "engines": {
- "node": ">=4"
- }
- },
- "node_modules/cssom": {
- "version": "0.5.0",
- "resolved": "https://registry.npmjs.org/cssom/-/cssom-0.5.0.tgz",
- "integrity": "sha512-iKuQcq+NdHqlAcwUY0o/HL69XQrUaQdMjmStJ8JFmUaiiQErlhrmuigkg/CU4E2J0IyUKUrMAgl36TvN67MqTw=="
- },
- "node_modules/cssstyle": {
- "version": "2.3.0",
- "resolved": "https://registry.npmjs.org/cssstyle/-/cssstyle-2.3.0.tgz",
- "integrity": "sha512-AZL67abkUzIuvcHqk7c09cezpGNcxUxU4Ioi/05xHk4DQeTkWmGYftIE6ctU6AEt+Gn4n1lDStOtj7FKycP71A==",
- "dependencies": {
- "cssom": "~0.3.6"
- },
- "engines": {
- "node": ">=8"
- }
- },
- "node_modules/cssstyle/node_modules/cssom": {
- "version": "0.3.8",
- "resolved": "https://registry.npmjs.org/cssom/-/cssom-0.3.8.tgz",
- "integrity": "sha512-b0tGHbfegbhPJpxpiBPU2sCkigAqtM9O121le6bbOlgyV+NyGyCmVfJ6QW9eRjz8CpNfWEOYBIMIGRYkLwsIYg=="
- },
- "node_modules/csstype": {
- "version": "3.1.3",
- "resolved": "https://registry.npmjs.org/csstype/-/csstype-3.1.3.tgz",
- "integrity": "sha512-M1uQkMl8rQK/szD0LNhtqxIPLpimGm8sOBwU7lLnCpSbTyY3yeU1Vc7l4KT5zT4s/yOxHH5O7tIuuLOCnLADRw=="
- },
- "node_modules/culori": {
- "version": "3.3.0",
- "resolved": "https://registry.npmjs.org/culori/-/culori-3.3.0.tgz",
- "integrity": "sha512-pHJg+jbuFsCjz9iclQBqyL3B2HLCBF71BwVNujUYEvCeQMvV97R59MNK3R2+jgJ3a1fcZgI9B3vYgz8lzr/BFQ==",
- "dev": true,
- "engines": {
- "node": "^12.20.0 || ^14.13.1 || >=16.0.0"
- }
- },
- "node_modules/d3-color": {
- "version": "3.1.0",
- "resolved": "https://registry.npmjs.org/d3-color/-/d3-color-3.1.0.tgz",
- "integrity": "sha512-zg/chbXyeBtMQ1LbD/WSoW2DpC3I0mpmPdW+ynRTj/x2DAWYrIY7qeZIHidozwV24m4iavr15lNwIwLxRmOxhA==",
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/d3-dispatch": {
- "version": "3.0.1",
- "resolved": "https://registry.npmjs.org/d3-dispatch/-/d3-dispatch-3.0.1.tgz",
- "integrity": "sha512-rzUyPU/S7rwUflMyLc1ETDeBj0NRuHKKAcvukozwhshr6g6c5d8zh4c2gQjY2bZ0dXeGLWc1PF174P2tVvKhfg==",
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/d3-drag": {
- "version": "3.0.0",
- "resolved": "https://registry.npmjs.org/d3-drag/-/d3-drag-3.0.0.tgz",
- "integrity": "sha512-pWbUJLdETVA8lQNJecMxoXfH6x+mO2UQo8rSmZ+QqxcbyA3hfeprFgIT//HW2nlHChWeIIMwS2Fq+gEARkhTkg==",
- "dependencies": {
- "d3-dispatch": "1 - 3",
- "d3-selection": "3"
- },
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/d3-ease": {
- "version": "3.0.1",
- "resolved": "https://registry.npmjs.org/d3-ease/-/d3-ease-3.0.1.tgz",
- "integrity": "sha512-wR/XK3D3XcLIZwpbvQwQ5fK+8Ykds1ip7A2Txe0yxncXSdq1L9skcG7blcedkOX+ZcgxGAmLX1FrRGbADwzi0w==",
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/d3-interpolate": {
- "version": "3.0.1",
- "resolved": "https://registry.npmjs.org/d3-interpolate/-/d3-interpolate-3.0.1.tgz",
- "integrity": "sha512-3bYs1rOD33uo8aqJfKP3JWPAibgw8Zm2+L9vBKEHJ2Rg+viTR7o5Mmv5mZcieN+FRYaAOWX5SJATX6k1PWz72g==",
- "dependencies": {
- "d3-color": "1 - 3"
- },
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/d3-selection": {
- "version": "3.0.0",
- "resolved": "https://registry.npmjs.org/d3-selection/-/d3-selection-3.0.0.tgz",
- "integrity": "sha512-fmTRWbNMmsmWq6xJV8D19U/gw/bwrHfNXxrIN+HfZgnzqTHp9jOmKMhsTUjXOJnZOdZY9Q28y4yebKzqDKlxlQ==",
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/d3-timer": {
- "version": "3.0.1",
- "resolved": "https://registry.npmjs.org/d3-timer/-/d3-timer-3.0.1.tgz",
- "integrity": "sha512-ndfJ/JxxMd3nw31uyKoY2naivF+r29V+Lc0svZxe1JvvIRmi8hUsrMvdOwgS1o6uBHmiz91geQ0ylPP0aj1VUA==",
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/d3-transition": {
- "version": "3.0.1",
- "resolved": "https://registry.npmjs.org/d3-transition/-/d3-transition-3.0.1.tgz",
- "integrity": "sha512-ApKvfjsSR6tg06xrL434C0WydLr7JewBB3V+/39RMHsaXTOG0zmt/OAXeng5M5LBm0ojmxJrpomQVZ1aPvBL4w==",
- "dependencies": {
- "d3-color": "1 - 3",
- "d3-dispatch": "1 - 3",
- "d3-ease": "1 - 3",
- "d3-interpolate": "1 - 3",
- "d3-timer": "1 - 3"
- },
- "engines": {
- "node": ">=12"
- },
- "peerDependencies": {
- "d3-selection": "2 - 3"
- }
- },
- "node_modules/d3-zoom": {
- "version": "3.0.0",
- "resolved": "https://registry.npmjs.org/d3-zoom/-/d3-zoom-3.0.0.tgz",
- "integrity": "sha512-b8AmV3kfQaqWAuacbPuNbL6vahnOJflOhexLzMMNLga62+/nh0JzvJ0aO/5a5MVgUFGS7Hu1P9P03o3fJkDCyw==",
- "dependencies": {
- "d3-dispatch": "1 - 3",
- "d3-drag": "2 - 3",
- "d3-interpolate": "1 - 3",
- "d3-selection": "2 - 3",
- "d3-transition": "2 - 3"
- },
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/daisyui": {
- "version": "4.11.1",
- "resolved": "https://registry.npmjs.org/daisyui/-/daisyui-4.11.1.tgz",
- "integrity": "sha512-obT9CUbQdW6eoHwSeT5VwaRrWlwrM4OT5qlfdJ0oQlSIEYhwnEl2+L2fwu5PioLbitwuMdYC2X8I1cyy8Pf6LQ==",
- "dev": true,
- "dependencies": {
- "css-selector-tokenizer": "^0.8",
- "culori": "^3",
- "picocolors": "^1",
- "postcss-js": "^4"
- },
- "engines": {
- "node": ">=16.9.0"
- },
- "funding": {
- "type": "opencollective",
- "url": "https://opencollective.com/daisyui"
- }
- },
- "node_modules/data-uri-to-buffer": {
- "version": "4.0.1",
- "resolved": "https://registry.npmjs.org/data-uri-to-buffer/-/data-uri-to-buffer-4.0.1.tgz",
- "integrity": "sha512-0R9ikRb668HB7QDxT1vkpuUBtqc53YyAwMwGeUFKRojY/NWKvdZ+9UYtRfGmhqNbRkTSVpMbmyhXipFFv2cb/A==",
- "engines": {
- "node": ">= 12"
- }
- },
- "node_modules/data-urls": {
- "version": "3.0.2",
- "resolved": "https://registry.npmjs.org/data-urls/-/data-urls-3.0.2.tgz",
- "integrity": "sha512-Jy/tj3ldjZJo63sVAvg6LHt2mHvl4V6AgRAmNDtLdm7faqtsx+aJG42rsyCo9JCoRVKwPFzKlIPx3DIibwSIaQ==",
- "dependencies": {
- "abab": "^2.0.6",
- "whatwg-mimetype": "^3.0.0",
- "whatwg-url": "^11.0.0"
- },
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/data-urls/node_modules/tr46": {
- "version": "3.0.0",
- "resolved": "https://registry.npmjs.org/tr46/-/tr46-3.0.0.tgz",
- "integrity": "sha512-l7FvfAHlcmulp8kr+flpQZmVwtu7nfRV7NZujtN0OqES8EL4O4e0qqzL0DC5gAvx/ZC/9lk6rhcUwYvkBnBnYA==",
- "dependencies": {
- "punycode": "^2.1.1"
- },
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/data-urls/node_modules/whatwg-url": {
- "version": "11.0.0",
- "resolved": "https://registry.npmjs.org/whatwg-url/-/whatwg-url-11.0.0.tgz",
- "integrity": "sha512-RKT8HExMpoYx4igMiVMY83lN6UeITKJlBQ+vR/8ZJ8OCdSiN3RwCq+9gH0+Xzj0+5IrM6i4j/6LuvzbZIQgEcQ==",
- "dependencies": {
- "tr46": "^3.0.0",
- "webidl-conversions": "^7.0.0"
- },
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/debug": {
- "version": "4.3.4",
- "resolved": "https://registry.npmjs.org/debug/-/debug-4.3.4.tgz",
- "integrity": "sha512-PRWFHuSU3eDtQJPvnNY7Jcket1j0t5OuOsFzPPzsekD52Zl8qUfFIPEiswXqIvHWGVHOgX+7G/vCNNhehwxfkQ==",
- "dependencies": {
- "ms": "2.1.2"
- },
- "engines": {
- "node": ">=6.0"
- },
- "peerDependenciesMeta": {
- "supports-color": {
- "optional": true
- }
- }
- },
- "node_modules/decimal.js": {
- "version": "10.4.3",
- "resolved": "https://registry.npmjs.org/decimal.js/-/decimal.js-10.4.3.tgz",
- "integrity": "sha512-VBBaLc1MgL5XpzgIP7ny5Z6Nx3UrRkIViUkPUdtl9aya5amy3De1gsUUSB1g3+3sExYNjCAsAznmukyxCb1GRA=="
- },
- "node_modules/decode-named-character-reference": {
- "version": "1.0.2",
- "resolved": "https://registry.npmjs.org/decode-named-character-reference/-/decode-named-character-reference-1.0.2.tgz",
- "integrity": "sha512-O8x12RzrUF8xyVcY0KJowWsmaJxQbmy0/EtnNtHRpsOcT7dFk5W598coHqBVpmWo1oQQfsCqfCmkZN5DJrZVdg==",
- "dependencies": {
- "character-entities": "^2.0.0"
- },
- "funding": {
- "type": "github",
- "url": "https://github.com/sponsors/wooorm"
- }
- },
- "node_modules/decode-named-character-reference/node_modules/character-entities": {
- "version": "2.0.2",
- "resolved": "https://registry.npmjs.org/character-entities/-/character-entities-2.0.2.tgz",
- "integrity": "sha512-shx7oQ0Awen/BRIdkjkvz54PnEEI/EjwXDSIZp86/KKdbafHh1Df/RYGBhn4hbe2+uKC9FnT5UCEdyPz3ai9hQ==",
- "funding": {
- "type": "github",
- "url": "https://github.com/sponsors/wooorm"
- }
- },
- "node_modules/decompress-response": {
- "version": "6.0.0",
- "resolved": "https://registry.npmjs.org/decompress-response/-/decompress-response-6.0.0.tgz",
- "integrity": "sha512-aW35yZM6Bb/4oJlZncMH2LCoZtJXTRxES17vE3hoRiowU2kWHaJKFkSBDnDR+cm9J+9QhXmREyIfv0pji9ejCQ==",
- "dev": true,
- "dependencies": {
- "mimic-response": "^3.1.0"
- },
- "engines": {
- "node": ">=10"
- },
- "funding": {
- "url": "https://github.com/sponsors/sindresorhus"
- }
- },
- "node_modules/decompress-response/node_modules/mimic-response": {
- "version": "3.1.0",
- "resolved": "https://registry.npmjs.org/mimic-response/-/mimic-response-3.1.0.tgz",
- "integrity": "sha512-z0yWI+4FDrrweS8Zmt4Ej5HdJmky15+L2e6Wgn3+iK5fWzb6T3fhNFq2+MeTRb064c6Wr4N/wv0DzQTjNzHNGQ==",
- "dev": true,
- "engines": {
- "node": ">=10"
- },
- "funding": {
- "url": "https://github.com/sponsors/sindresorhus"
- }
- },
- "node_modules/deep-equal": {
- "version": "2.2.3",
- "resolved": "https://registry.npmjs.org/deep-equal/-/deep-equal-2.2.3.tgz",
- "integrity": "sha512-ZIwpnevOurS8bpT4192sqAowWM76JDKSHYzMLty3BZGSswgq6pBaH3DhCSW5xVAZICZyKdOBPjwww5wfgT/6PA==",
- "dev": true,
- "dependencies": {
- "array-buffer-byte-length": "^1.0.0",
- "call-bind": "^1.0.5",
- "es-get-iterator": "^1.1.3",
- "get-intrinsic": "^1.2.2",
- "is-arguments": "^1.1.1",
- "is-array-buffer": "^3.0.2",
- "is-date-object": "^1.0.5",
- "is-regex": "^1.1.4",
- "is-shared-array-buffer": "^1.0.2",
- "isarray": "^2.0.5",
- "object-is": "^1.1.5",
- "object-keys": "^1.1.1",
- "object.assign": "^4.1.4",
- "regexp.prototype.flags": "^1.5.1",
- "side-channel": "^1.0.4",
- "which-boxed-primitive": "^1.0.2",
- "which-collection": "^1.0.1",
- "which-typed-array": "^1.1.13"
- },
- "engines": {
- "node": ">= 0.4"
- },
- "funding": {
- "url": "https://github.com/sponsors/ljharb"
- }
- },
- "node_modules/deep-is": {
- "version": "0.1.4",
- "resolved": "https://registry.npmjs.org/deep-is/-/deep-is-0.1.4.tgz",
- "integrity": "sha512-oIPzksmTg4/MriiaYGO+okXDT7ztn/w3Eptv/+gSIdMdKsJo0u4CfYNFJPy+4SKMuCqGw2wxnA+URMg3t8a/bQ==",
- "dev": true
- },
- "node_modules/defaults": {
- "version": "1.0.4",
- "resolved": "https://registry.npmjs.org/defaults/-/defaults-1.0.4.tgz",
- "integrity": "sha512-eFuaLoy/Rxalv2kr+lqMlUnrDWV+3j4pljOIJgLIhI058IQfWJ7vXhyEIHu+HtC738klGALYxOKDO0bQP3tg8A==",
- "dependencies": {
- "clone": "^1.0.2"
- },
- "funding": {
- "url": "https://github.com/sponsors/sindresorhus"
- }
- },
- "node_modules/defer-to-connect": {
- "version": "2.0.1",
- "resolved": "https://registry.npmjs.org/defer-to-connect/-/defer-to-connect-2.0.1.tgz",
- "integrity": "sha512-4tvttepXG1VaYGrRibk5EwJd1t4udunSOVMdLSAL6mId1ix438oPwPZMALY41FCijukO1L0twNcGsdzS7dHgDg==",
- "dev": true,
- "engines": {
- "node": ">=10"
- }
- },
- "node_modules/define-data-property": {
- "version": "1.1.4",
- "resolved": "https://registry.npmjs.org/define-data-property/-/define-data-property-1.1.4.tgz",
- "integrity": "sha512-rBMvIzlpA8v6E+SJZoo++HAYqsLrkg7MSfIinMPFhmkorw7X+dOXVJQs+QT69zGkzMyfDnIMN2Wid1+NbL3T+A==",
- "dev": true,
- "dependencies": {
- "es-define-property": "^1.0.0",
- "es-errors": "^1.3.0",
- "gopd": "^1.0.1"
- },
- "engines": {
- "node": ">= 0.4"
- },
- "funding": {
- "url": "https://github.com/sponsors/ljharb"
- }
- },
- "node_modules/define-properties": {
- "version": "1.2.1",
- "resolved": "https://registry.npmjs.org/define-properties/-/define-properties-1.2.1.tgz",
- "integrity": "sha512-8QmQKqEASLd5nx0U1B1okLElbUuuttJ/AnYmRXbbbGDWh6uS208EjD4Xqq/I9wK7u0v6O08XhTWnt5XtEbR6Dg==",
- "dev": true,
- "dependencies": {
- "define-data-property": "^1.0.1",
- "has-property-descriptors": "^1.0.0",
- "object-keys": "^1.1.1"
- },
- "engines": {
- "node": ">= 0.4"
- },
- "funding": {
- "url": "https://github.com/sponsors/ljharb"
- }
- },
- "node_modules/delayed-stream": {
- "version": "1.0.0",
- "resolved": "https://registry.npmjs.org/delayed-stream/-/delayed-stream-1.0.0.tgz",
- "integrity": "sha512-ZySD7Nf91aLB0RxL4KGrKHBXl7Eds1DAmEdcoVawXnLD7SDhpNgtuII2aAkg7a7QS41jxPSZ17p4VdGnMHk3MQ==",
- "engines": {
- "node": ">=0.4.0"
- }
- },
- "node_modules/delegates": {
- "version": "1.0.0",
- "resolved": "https://registry.npmjs.org/delegates/-/delegates-1.0.0.tgz",
- "integrity": "sha512-bd2L678uiWATM6m5Z1VzNCErI3jiGzt6HGY8OVICs40JQq/HALfbyNJmp0UDakEY4pMMaN0Ly5om/B1VI/+xfQ==",
- "optional": true
- },
- "node_modules/dequal": {
- "version": "2.0.3",
- "resolved": "https://registry.npmjs.org/dequal/-/dequal-2.0.3.tgz",
- "integrity": "sha512-0je+qPKHEMohvfRTCEo3CrPG6cAzAYgmzKyxRiYSSDkS6eGJdyVJm7WaYA5ECaAD9wLB2T4EEeymA5aFVcYXCA==",
- "engines": {
- "node": ">=6"
- }
- },
- "node_modules/detect-libc": {
- "version": "2.0.3",
- "resolved": "https://registry.npmjs.org/detect-libc/-/detect-libc-2.0.3.tgz",
- "integrity": "sha512-bwy0MGW55bG41VqxxypOsdSdGqLwXPI/focwgTYCFMbdUiBAxLg9CFzG08sz2aqzknwiX7Hkl0bQENjg8iLByw==",
- "optional": true,
- "engines": {
- "node": ">=8"
- }
- },
- "node_modules/detect-node-es": {
- "version": "1.1.0",
- "resolved": "https://registry.npmjs.org/detect-node-es/-/detect-node-es-1.1.0.tgz",
- "integrity": "sha512-ypdmJU/TbBby2Dxibuv7ZLW3Bs1QEmM7nHjEANfohJLvE0XVujisn1qPJcZxg+qDucsr+bP6fLD1rPS3AhJ7EQ=="
- },
- "node_modules/didyoumean": {
- "version": "1.2.2",
- "resolved": "https://registry.npmjs.org/didyoumean/-/didyoumean-1.2.2.tgz",
- "integrity": "sha512-gxtyfqMg7GKyhQmb056K7M3xszy/myH8w+B4RT+QXBQsvAOdc3XymqDDPHx1BgPgsdAA5SIifona89YtRATDzw=="
- },
- "node_modules/diff": {
- "version": "5.2.0",
- "resolved": "https://registry.npmjs.org/diff/-/diff-5.2.0.tgz",
- "integrity": "sha512-uIFDxqpRZGZ6ThOk84hEfqWoHx2devRFvpTZcTHur85vImfaxUbTW9Ryh4CpCuDnToOP1CEtXKIgytHBPVff5A==",
- "engines": {
- "node": ">=0.3.1"
- }
- },
- "node_modules/diff-match-patch": {
- "version": "1.0.5",
- "resolved": "https://registry.npmjs.org/diff-match-patch/-/diff-match-patch-1.0.5.tgz",
- "integrity": "sha512-IayShXAgj/QMXgB0IWmKx+rOPuGMhqm5w6jvFxmVenXKIzRqTAAsbBPT3kWQeGANj3jGgvcvv4yK6SxqYmikgw=="
- },
- "node_modules/diff-sequences": {
- "version": "27.5.1",
- "resolved": "https://registry.npmjs.org/diff-sequences/-/diff-sequences-27.5.1.tgz",
- "integrity": "sha512-k1gCAXAsNgLwEL+Y8Wvl+M6oEFj5bgazfZULpS5CneoPPXRaCCW7dm+q21Ky2VEE5X+VeRDBVg1Pcvvsr4TtNQ==",
- "dev": true,
- "engines": {
- "node": "^10.13.0 || ^12.13.0 || ^14.15.0 || >=15.0.0"
- }
- },
- "node_modules/dlv": {
- "version": "1.1.3",
- "resolved": "https://registry.npmjs.org/dlv/-/dlv-1.1.3.tgz",
- "integrity": "sha512-+HlytyjlPKnIG8XuRG8WvmBP8xs8P71y+SKKS6ZXWoEgLuePxtDoUEiH7WkdePWrQ5JBpE6aoVqfZfJUQkjXwA=="
- },
- "node_modules/doctrine": {
- "version": "3.0.0",
- "resolved": "https://registry.npmjs.org/doctrine/-/doctrine-3.0.0.tgz",
- "integrity": "sha512-yS+Q5i3hBf7GBkd4KG8a7eBNNWNGLTaEwwYWUijIYM7zrlYDM0BFXHjjPWlWZ1Rg7UaddZeIDmi9jF3HmqiQ2w==",
- "dev": true,
- "dependencies": {
- "esutils": "^2.0.2"
- },
- "engines": {
- "node": ">=6.0.0"
- }
- },
- "node_modules/dom-accessibility-api": {
- "version": "0.5.16",
- "resolved": "https://registry.npmjs.org/dom-accessibility-api/-/dom-accessibility-api-0.5.16.tgz",
- "integrity": "sha512-X7BJ2yElsnOJ30pZF4uIIDfBEVgF4XEBxL9Bxhy6dnrm5hkzqmsWHGTiHqRiITNhMyFLyAiWndIJP7Z1NTteDg==",
- "dev": true
- },
- "node_modules/domexception": {
- "version": "4.0.0",
- "resolved": "https://registry.npmjs.org/domexception/-/domexception-4.0.0.tgz",
- "integrity": "sha512-A2is4PLG+eeSfoTMA95/s4pvAoSo2mKtiM5jlHkAVewmiO8ISFTFKZjH7UAM1Atli/OT/7JHOrJRJiMKUZKYBw==",
- "deprecated": "Use your platform's native DOMException instead",
- "dependencies": {
- "webidl-conversions": "^7.0.0"
- },
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/dompurify": {
- "version": "3.1.4",
- "resolved": "https://registry.npmjs.org/dompurify/-/dompurify-3.1.4.tgz",
- "integrity": "sha512-2gnshi6OshmuKil8rMZuQCGiUF3cUxHY3NGDzUAdUx/NPEe5DVnO8BDoAQouvgwnx0R/+a6jUn36Z0FSdq8vww=="
- },
- "node_modules/dot-case": {
- "version": "3.0.4",
- "resolved": "https://registry.npmjs.org/dot-case/-/dot-case-3.0.4.tgz",
- "integrity": "sha512-Kv5nKlh6yRrdrGvxeJ2e5y2eRUpkUosIW4A2AS38zwSz27zu7ufDwQPi5Jhs3XAlGNetl3bmnGhQsMtkKJnj3w==",
- "dependencies": {
- "no-case": "^3.0.4",
- "tslib": "^2.0.3"
- }
- },
- "node_modules/dotenv": {
- "version": "16.4.5",
- "resolved": "https://registry.npmjs.org/dotenv/-/dotenv-16.4.5.tgz",
- "integrity": "sha512-ZmdL2rui+eB2YwhsWzjInR8LldtZHGDoQ1ugH85ppHKwpUHL7j7rN0Ti9NCnGiQbhaZ11FpR+7ao1dNsmduNUg==",
- "engines": {
- "node": ">=12"
- },
- "funding": {
- "url": "https://dotenvx.com"
- }
- },
- "node_modules/eastasianwidth": {
- "version": "0.2.0",
- "resolved": "https://registry.npmjs.org/eastasianwidth/-/eastasianwidth-0.2.0.tgz",
- "integrity": "sha512-I88TYZWc9XiYHRQ4/3c5rjjfgkjhLyW2luGIheGERbNQ6OY7yTybanSpDXZa8y7VUP9YmDcYa+eyq4ca7iLqWA=="
- },
- "node_modules/electron-to-chromium": {
- "version": "1.4.778",
- "resolved": "https://registry.npmjs.org/electron-to-chromium/-/electron-to-chromium-1.4.778.tgz",
- "integrity": "sha512-C6q/xcUJf/2yODRxAVCfIk4j3y3LMsD0ehiE2RQNV2cxc8XU62gR6vvYh3+etSUzlgTfil+qDHI1vubpdf0TOA=="
- },
- "node_modules/emoji-regex": {
- "version": "8.0.0",
- "resolved": "https://registry.npmjs.org/emoji-regex/-/emoji-regex-8.0.0.tgz",
- "integrity": "sha512-MSjYzcWNOA0ewAHpz0MxpYFvwg6yjy1NG3xteoqz644VCo/RPgnr1/GGt+ic3iJTzQ8Eu3TdM14SawnVUmGE6A=="
- },
- "node_modules/end-of-stream": {
- "version": "1.4.4",
- "resolved": "https://registry.npmjs.org/end-of-stream/-/end-of-stream-1.4.4.tgz",
- "integrity": "sha512-+uw1inIHVPQoaVuHzRyXd21icM+cnt4CzD5rW+NC1wjOUSTOs+Te7FOv7AhN7vS9x/oIyhLP5PR1H+phQAHu5Q==",
- "dev": true,
- "dependencies": {
- "once": "^1.4.0"
- }
- },
- "node_modules/entities": {
- "version": "2.2.0",
- "resolved": "https://registry.npmjs.org/entities/-/entities-2.2.0.tgz",
- "integrity": "sha512-p92if5Nz619I0w+akJrLZH0MX0Pb5DX39XOwQTtXSdQQOaYH03S1uIQp4mhOZtAXrxq4ViO67YTiLBo2638o9A==",
- "funding": {
- "url": "https://github.com/fb55/entities?sponsor=1"
- }
- },
- "node_modules/error-ex": {
- "version": "1.3.2",
- "resolved": "https://registry.npmjs.org/error-ex/-/error-ex-1.3.2.tgz",
- "integrity": "sha512-7dFHNmqeFSEt2ZBsCriorKnn3Z2pj+fd9kmI6QoWw4//DL+icEBfc0U7qJCisqrTsKTjw4fNFy2pW9OqStD84g==",
- "dependencies": {
- "is-arrayish": "^0.2.1"
- }
- },
- "node_modules/es-define-property": {
- "version": "1.0.0",
- "resolved": "https://registry.npmjs.org/es-define-property/-/es-define-property-1.0.0.tgz",
- "integrity": "sha512-jxayLKShrEqqzJ0eumQbVhTYQM27CfT1T35+gCgDFoL82JLsXqTJ76zv6A0YLOgEnLUMvLzsDsGIrl8NFpT2gQ==",
- "dev": true,
- "dependencies": {
- "get-intrinsic": "^1.2.4"
- },
- "engines": {
- "node": ">= 0.4"
- }
- },
- "node_modules/es-errors": {
- "version": "1.3.0",
- "resolved": "https://registry.npmjs.org/es-errors/-/es-errors-1.3.0.tgz",
- "integrity": "sha512-Zf5H2Kxt2xjTvbJvP2ZWLEICxA6j+hAmMzIlypy4xcBg1vKVnx89Wy0GbS+kf5cwCVFFzdCFh2XSCFNULS6csw==",
- "dev": true,
- "engines": {
- "node": ">= 0.4"
- }
- },
- "node_modules/es-get-iterator": {
- "version": "1.1.3",
- "resolved": "https://registry.npmjs.org/es-get-iterator/-/es-get-iterator-1.1.3.tgz",
- "integrity": "sha512-sPZmqHBe6JIiTfN5q2pEi//TwxmAFHwj/XEuYjTuse78i8KxaqMTTzxPoFKuzRpDpTJ+0NAbpfenkmH2rePtuw==",
- "dev": true,
- "dependencies": {
- "call-bind": "^1.0.2",
- "get-intrinsic": "^1.1.3",
- "has-symbols": "^1.0.3",
- "is-arguments": "^1.1.1",
- "is-map": "^2.0.2",
- "is-set": "^2.0.2",
- "is-string": "^1.0.7",
- "isarray": "^2.0.5",
- "stop-iteration-iterator": "^1.0.0"
- },
- "funding": {
- "url": "https://github.com/sponsors/ljharb"
- }
- },
- "node_modules/esbuild": {
- "version": "0.17.19",
- "resolved": "https://registry.npmjs.org/esbuild/-/esbuild-0.17.19.tgz",
- "integrity": "sha512-XQ0jAPFkK/u3LcVRcvVHQcTIqD6E2H1fvZMA5dQPSOWb3suUbWbfbRf94pjc0bNzRYLfIrDRQXr7X+LHIm5oHw==",
- "hasInstallScript": true,
- "bin": {
- "esbuild": "bin/esbuild"
- },
- "engines": {
- "node": ">=12"
- },
- "optionalDependencies": {
- "@esbuild/android-arm": "0.17.19",
- "@esbuild/android-arm64": "0.17.19",
- "@esbuild/android-x64": "0.17.19",
- "@esbuild/darwin-arm64": "0.17.19",
- "@esbuild/darwin-x64": "0.17.19",
- "@esbuild/freebsd-arm64": "0.17.19",
- "@esbuild/freebsd-x64": "0.17.19",
- "@esbuild/linux-arm": "0.17.19",
- "@esbuild/linux-arm64": "0.17.19",
- "@esbuild/linux-ia32": "0.17.19",
- "@esbuild/linux-loong64": "0.17.19",
- "@esbuild/linux-mips64el": "0.17.19",
- "@esbuild/linux-ppc64": "0.17.19",
- "@esbuild/linux-riscv64": "0.17.19",
- "@esbuild/linux-s390x": "0.17.19",
- "@esbuild/linux-x64": "0.17.19",
- "@esbuild/netbsd-x64": "0.17.19",
- "@esbuild/openbsd-x64": "0.17.19",
- "@esbuild/sunos-x64": "0.17.19",
- "@esbuild/win32-arm64": "0.17.19",
- "@esbuild/win32-ia32": "0.17.19",
- "@esbuild/win32-x64": "0.17.19"
- }
- },
- "node_modules/escalade": {
- "version": "3.1.2",
- "resolved": "https://registry.npmjs.org/escalade/-/escalade-3.1.2.tgz",
- "integrity": "sha512-ErCHMCae19vR8vQGe50xIsVomy19rg6gFu3+r3jkEO46suLMWBksvVyoGgQV+jOfl84ZSOSlmv6Gxa89PmTGmA==",
- "engines": {
- "node": ">=6"
- }
- },
- "node_modules/escape-string-regexp": {
- "version": "1.0.5",
- "resolved": "https://registry.npmjs.org/escape-string-regexp/-/escape-string-regexp-1.0.5.tgz",
- "integrity": "sha512-vbRorB5FUQWvla16U8R/qgaFIya2qGzwDrNmCZuYKrbdSUMG6I1ZCGQRefkRVhuOkIGVne7BQ35DSfo1qvJqFg==",
- "engines": {
- "node": ">=0.8.0"
- }
- },
- "node_modules/escodegen": {
- "version": "2.1.0",
- "resolved": "https://registry.npmjs.org/escodegen/-/escodegen-2.1.0.tgz",
- "integrity": "sha512-2NlIDTwUWJN0mRPQOdtQBzbUHvdGY2P1VXSyU83Q3xKxM7WHX2Ql8dKq782Q9TgQUNOLEzEYu9bzLNj1q88I5w==",
- "dependencies": {
- "esprima": "^4.0.1",
- "estraverse": "^5.2.0",
- "esutils": "^2.0.2"
- },
- "bin": {
- "escodegen": "bin/escodegen.js",
- "esgenerate": "bin/esgenerate.js"
- },
- "engines": {
- "node": ">=6.0"
- },
- "optionalDependencies": {
- "source-map": "~0.6.1"
- }
- },
- "node_modules/escodegen/node_modules/source-map": {
- "version": "0.6.1",
- "resolved": "https://registry.npmjs.org/source-map/-/source-map-0.6.1.tgz",
- "integrity": "sha512-UjgapumWlbMhkBgzT7Ykc5YXUT46F0iKu8SGXq0bcwP5dz/h0Plj6enJqjz1Zbq2l5WaqYnrVbwWOWMyF3F47g==",
- "optional": true,
- "engines": {
- "node": ">=0.10.0"
- }
- },
- "node_modules/eslint": {
- "version": "8.57.0",
- "resolved": "https://registry.npmjs.org/eslint/-/eslint-8.57.0.tgz",
- "integrity": "sha512-dZ6+mexnaTIbSBZWgou51U6OmzIhYM2VcNdtiTtI7qPNZm35Akpr0f6vtw3w1Kmn5PYo+tZVfh13WrhpS6oLqQ==",
- "dev": true,
- "dependencies": {
- "@eslint-community/eslint-utils": "^4.2.0",
- "@eslint-community/regexpp": "^4.6.1",
- "@eslint/eslintrc": "^2.1.4",
- "@eslint/js": "8.57.0",
- "@humanwhocodes/config-array": "^0.11.14",
- "@humanwhocodes/module-importer": "^1.0.1",
- "@nodelib/fs.walk": "^1.2.8",
- "@ungap/structured-clone": "^1.2.0",
- "ajv": "^6.12.4",
- "chalk": "^4.0.0",
- "cross-spawn": "^7.0.2",
- "debug": "^4.3.2",
- "doctrine": "^3.0.0",
- "escape-string-regexp": "^4.0.0",
- "eslint-scope": "^7.2.2",
- "eslint-visitor-keys": "^3.4.3",
- "espree": "^9.6.1",
- "esquery": "^1.4.2",
- "esutils": "^2.0.2",
- "fast-deep-equal": "^3.1.3",
- "file-entry-cache": "^6.0.1",
- "find-up": "^5.0.0",
- "glob-parent": "^6.0.2",
- "globals": "^13.19.0",
- "graphemer": "^1.4.0",
- "ignore": "^5.2.0",
- "imurmurhash": "^0.1.4",
- "is-glob": "^4.0.0",
- "is-path-inside": "^3.0.3",
- "js-yaml": "^4.1.0",
- "json-stable-stringify-without-jsonify": "^1.0.1",
- "levn": "^0.4.1",
- "lodash.merge": "^4.6.2",
- "minimatch": "^3.1.2",
- "natural-compare": "^1.4.0",
- "optionator": "^0.9.3",
- "strip-ansi": "^6.0.1",
- "text-table": "^0.2.0"
- },
- "bin": {
- "eslint": "bin/eslint.js"
- },
- "engines": {
- "node": "^12.22.0 || ^14.17.0 || >=16.0.0"
- },
- "funding": {
- "url": "https://opencollective.com/eslint"
- }
- },
- "node_modules/eslint-plugin-es": {
- "version": "3.0.1",
- "resolved": "https://registry.npmjs.org/eslint-plugin-es/-/eslint-plugin-es-3.0.1.tgz",
- "integrity": "sha512-GUmAsJaN4Fc7Gbtl8uOBlayo2DqhwWvEzykMHSCZHU3XdJ+NSzzZcVhXh3VxX5icqQ+oQdIEawXX8xkR3mIFmQ==",
- "dev": true,
- "dependencies": {
- "eslint-utils": "^2.0.0",
- "regexpp": "^3.0.0"
- },
- "engines": {
- "node": ">=8.10.0"
- },
- "funding": {
- "url": "https://github.com/sponsors/mysticatea"
- },
- "peerDependencies": {
- "eslint": ">=4.19.1"
- }
- },
- "node_modules/eslint-plugin-node": {
- "version": "11.1.0",
- "resolved": "https://registry.npmjs.org/eslint-plugin-node/-/eslint-plugin-node-11.1.0.tgz",
- "integrity": "sha512-oUwtPJ1W0SKD0Tr+wqu92c5xuCeQqB3hSCHasn/ZgjFdA9iDGNkNf2Zi9ztY7X+hNuMib23LNGRm6+uN+KLE3g==",
- "dev": true,
- "dependencies": {
- "eslint-plugin-es": "^3.0.0",
- "eslint-utils": "^2.0.0",
- "ignore": "^5.1.1",
- "minimatch": "^3.0.4",
- "resolve": "^1.10.1",
- "semver": "^6.1.0"
- },
- "engines": {
- "node": ">=8.10.0"
- },
- "peerDependencies": {
- "eslint": ">=5.16.0"
- }
- },
- "node_modules/eslint-plugin-node/node_modules/brace-expansion": {
- "version": "1.1.11",
- "resolved": "https://registry.npmjs.org/brace-expansion/-/brace-expansion-1.1.11.tgz",
- "integrity": "sha512-iCuPHDFgrHX7H2vEI/5xpz07zSHB00TpugqhmYtVmMO6518mCuRMoOYFldEBl0g187ufozdaHgWKcYFb61qGiA==",
- "dev": true,
- "dependencies": {
- "balanced-match": "^1.0.0",
- "concat-map": "0.0.1"
- }
- },
- "node_modules/eslint-plugin-node/node_modules/minimatch": {
- "version": "3.1.2",
- "resolved": "https://registry.npmjs.org/minimatch/-/minimatch-3.1.2.tgz",
- "integrity": "sha512-J7p63hRiAjw1NDEww1W7i37+ByIrOWO5XQQAzZ3VOcL0PNybwpfmV/N05zFAzwQ9USyEcX6t3UO+K5aqBQOIHw==",
- "dev": true,
- "dependencies": {
- "brace-expansion": "^1.1.7"
- },
- "engines": {
- "node": "*"
- }
- },
- "node_modules/eslint-scope": {
- "version": "7.2.2",
- "resolved": "https://registry.npmjs.org/eslint-scope/-/eslint-scope-7.2.2.tgz",
- "integrity": "sha512-dOt21O7lTMhDM+X9mB4GX+DZrZtCUJPL/wlcTqxyrx5IvO0IYtILdtrQGQp+8n5S0gwSVmOf9NQrjMOgfQZlIg==",
- "dev": true,
- "dependencies": {
- "esrecurse": "^4.3.0",
- "estraverse": "^5.2.0"
- },
- "engines": {
- "node": "^12.22.0 || ^14.17.0 || >=16.0.0"
- },
- "funding": {
- "url": "https://opencollective.com/eslint"
- }
- },
- "node_modules/eslint-utils": {
- "version": "2.1.0",
- "resolved": "https://registry.npmjs.org/eslint-utils/-/eslint-utils-2.1.0.tgz",
- "integrity": "sha512-w94dQYoauyvlDc43XnGB8lU3Zt713vNChgt4EWwhXAP2XkBvndfxF0AgIqKOOasjPIPzj9JqgwkwbCYD0/V3Zg==",
- "dev": true,
- "dependencies": {
- "eslint-visitor-keys": "^1.1.0"
- },
- "engines": {
- "node": ">=6"
- },
- "funding": {
- "url": "https://github.com/sponsors/mysticatea"
- }
- },
- "node_modules/eslint-utils/node_modules/eslint-visitor-keys": {
- "version": "1.3.0",
- "resolved": "https://registry.npmjs.org/eslint-visitor-keys/-/eslint-visitor-keys-1.3.0.tgz",
- "integrity": "sha512-6J72N8UNa462wa/KFODt/PJ3IU60SDpC3QXC1Hjc1BXXpfL2C9R5+AU7jhe0F6GREqVMh4Juu+NY7xn+6dipUQ==",
- "dev": true,
- "engines": {
- "node": ">=4"
- }
- },
- "node_modules/eslint-visitor-keys": {
- "version": "3.4.3",
- "resolved": "https://registry.npmjs.org/eslint-visitor-keys/-/eslint-visitor-keys-3.4.3.tgz",
- "integrity": "sha512-wpc+LXeiyiisxPlEkUzU6svyS1frIO3Mgxj1fdy7Pm8Ygzguax2N3Fa/D/ag1WqbOprdI+uY6wMUl8/a2G+iag==",
- "dev": true,
- "engines": {
- "node": "^12.22.0 || ^14.17.0 || >=16.0.0"
- },
- "funding": {
- "url": "https://opencollective.com/eslint"
- }
- },
- "node_modules/eslint/node_modules/ansi-styles": {
- "version": "4.3.0",
- "resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-4.3.0.tgz",
- "integrity": "sha512-zbB9rCJAT1rbjiVDb2hqKFHNYLxgtk8NURxZ3IZwD3F6NtxbXZQCnnSi1Lkx+IDohdPlFp222wVALIheZJQSEg==",
- "dev": true,
- "dependencies": {
- "color-convert": "^2.0.1"
- },
- "engines": {
- "node": ">=8"
- },
- "funding": {
- "url": "https://github.com/chalk/ansi-styles?sponsor=1"
- }
- },
- "node_modules/eslint/node_modules/brace-expansion": {
- "version": "1.1.11",
- "resolved": "https://registry.npmjs.org/brace-expansion/-/brace-expansion-1.1.11.tgz",
- "integrity": "sha512-iCuPHDFgrHX7H2vEI/5xpz07zSHB00TpugqhmYtVmMO6518mCuRMoOYFldEBl0g187ufozdaHgWKcYFb61qGiA==",
- "dev": true,
- "dependencies": {
- "balanced-match": "^1.0.0",
- "concat-map": "0.0.1"
- }
- },
- "node_modules/eslint/node_modules/chalk": {
- "version": "4.1.2",
- "resolved": "https://registry.npmjs.org/chalk/-/chalk-4.1.2.tgz",
- "integrity": "sha512-oKnbhFyRIXpUuez8iBMmyEa4nbj4IOQyuhc/wy9kY7/WVPcwIO9VA668Pu8RkO7+0G76SLROeyw9CpQ061i4mA==",
- "dev": true,
- "dependencies": {
- "ansi-styles": "^4.1.0",
- "supports-color": "^7.1.0"
- },
- "engines": {
- "node": ">=10"
- },
- "funding": {
- "url": "https://github.com/chalk/chalk?sponsor=1"
- }
- },
- "node_modules/eslint/node_modules/color-convert": {
- "version": "2.0.1",
- "resolved": "https://registry.npmjs.org/color-convert/-/color-convert-2.0.1.tgz",
- "integrity": "sha512-RRECPsj7iu/xb5oKYcsFHSppFNnsj/52OVTRKb4zP5onXwVF3zVmmToNcOfGC+CRDpfK/U584fMg38ZHCaElKQ==",
- "dev": true,
- "dependencies": {
- "color-name": "~1.1.4"
- },
- "engines": {
- "node": ">=7.0.0"
- }
- },
- "node_modules/eslint/node_modules/color-name": {
- "version": "1.1.4",
- "resolved": "https://registry.npmjs.org/color-name/-/color-name-1.1.4.tgz",
- "integrity": "sha512-dOy+3AuW3a2wNbZHIuMZpTcgjGuLU/uBL/ubcZF9OXbDo8ff4O8yVp5Bf0efS8uEoYo5q4Fx7dY9OgQGXgAsQA==",
- "dev": true
- },
- "node_modules/eslint/node_modules/escape-string-regexp": {
- "version": "4.0.0",
- "resolved": "https://registry.npmjs.org/escape-string-regexp/-/escape-string-regexp-4.0.0.tgz",
- "integrity": "sha512-TtpcNJ3XAzx3Gq8sWRzJaVajRs0uVxA2YAkdb1jm2YkPz4G6egUFAyA3n5vtEIZefPk5Wa4UXbKuS5fKkJWdgA==",
- "dev": true,
- "engines": {
- "node": ">=10"
- },
- "funding": {
- "url": "https://github.com/sponsors/sindresorhus"
- }
- },
- "node_modules/eslint/node_modules/globals": {
- "version": "13.24.0",
- "resolved": "https://registry.npmjs.org/globals/-/globals-13.24.0.tgz",
- "integrity": "sha512-AhO5QUcj8llrbG09iWhPU2B204J1xnPeL8kQmVorSsy+Sjj1sk8gIyh6cUocGmH4L0UuhAJy+hJMRA4mgA4mFQ==",
- "dev": true,
- "dependencies": {
- "type-fest": "^0.20.2"
- },
- "engines": {
- "node": ">=8"
- },
- "funding": {
- "url": "https://github.com/sponsors/sindresorhus"
- }
- },
- "node_modules/eslint/node_modules/has-flag": {
- "version": "4.0.0",
- "resolved": "https://registry.npmjs.org/has-flag/-/has-flag-4.0.0.tgz",
- "integrity": "sha512-EykJT/Q1KjTWctppgIAgfSO0tKVuZUjhgMr17kqTumMl6Afv3EISleU7qZUzoXDFTAHTDC4NOoG/ZxU3EvlMPQ==",
- "dev": true,
- "engines": {
- "node": ">=8"
- }
- },
- "node_modules/eslint/node_modules/minimatch": {
- "version": "3.1.2",
- "resolved": "https://registry.npmjs.org/minimatch/-/minimatch-3.1.2.tgz",
- "integrity": "sha512-J7p63hRiAjw1NDEww1W7i37+ByIrOWO5XQQAzZ3VOcL0PNybwpfmV/N05zFAzwQ9USyEcX6t3UO+K5aqBQOIHw==",
- "dev": true,
- "dependencies": {
- "brace-expansion": "^1.1.7"
- },
- "engines": {
- "node": "*"
- }
- },
- "node_modules/eslint/node_modules/supports-color": {
- "version": "7.2.0",
- "resolved": "https://registry.npmjs.org/supports-color/-/supports-color-7.2.0.tgz",
- "integrity": "sha512-qpCAvRl9stuOHveKsn7HncJRvv501qIacKzQlO/+Lwxc9+0q2wLyv4Dfvt80/DPn2pqOBsJdDiogXGR9+OvwRw==",
- "dev": true,
- "dependencies": {
- "has-flag": "^4.0.0"
- },
- "engines": {
- "node": ">=8"
- }
- },
- "node_modules/esm": {
- "version": "3.2.25",
- "resolved": "https://registry.npmjs.org/esm/-/esm-3.2.25.tgz",
- "integrity": "sha512-U1suiZ2oDVWv4zPO56S0NcR5QriEahGtdN2OR6FiOG4WJvcjBVFB0qI4+eKoWFH483PKGuLuu6V8Z4T5g63UVA==",
- "engines": {
- "node": ">=6"
- }
- },
- "node_modules/espree": {
- "version": "9.6.1",
- "resolved": "https://registry.npmjs.org/espree/-/espree-9.6.1.tgz",
- "integrity": "sha512-oruZaFkjorTpF32kDSI5/75ViwGeZginGGy2NoOSg3Q9bnwlnmDm4HLnkl0RE3n+njDXR037aY1+x58Z/zFdwQ==",
- "dev": true,
- "dependencies": {
- "acorn": "^8.9.0",
- "acorn-jsx": "^5.3.2",
- "eslint-visitor-keys": "^3.4.1"
- },
- "engines": {
- "node": "^12.22.0 || ^14.17.0 || >=16.0.0"
- },
- "funding": {
- "url": "https://opencollective.com/eslint"
- }
- },
- "node_modules/esprima": {
- "version": "4.0.1",
- "resolved": "https://registry.npmjs.org/esprima/-/esprima-4.0.1.tgz",
- "integrity": "sha512-eGuFFw7Upda+g4p+QHvnW0RyTX/SVeJBDM/gCtMARO0cLuT2HcEKnTPvhjV6aGeqrCB/sbNop0Kszm0jsaWU4A==",
- "bin": {
- "esparse": "bin/esparse.js",
- "esvalidate": "bin/esvalidate.js"
- },
- "engines": {
- "node": ">=4"
- }
- },
- "node_modules/esquery": {
- "version": "1.5.0",
- "resolved": "https://registry.npmjs.org/esquery/-/esquery-1.5.0.tgz",
- "integrity": "sha512-YQLXUplAwJgCydQ78IMJywZCceoqk1oH01OERdSAJc/7U2AylwjhSCLDEtqwg811idIS/9fIU5GjG73IgjKMVg==",
- "dev": true,
- "dependencies": {
- "estraverse": "^5.1.0"
- },
- "engines": {
- "node": ">=0.10"
- }
- },
- "node_modules/esrecurse": {
- "version": "4.3.0",
- "resolved": "https://registry.npmjs.org/esrecurse/-/esrecurse-4.3.0.tgz",
- "integrity": "sha512-KmfKL3b6G+RXvP8N1vr3Tq1kL/oCFgn2NYXEtqP8/L3pKapUA4G8cFVaoF3SU323CD4XypR/ffioHmkti6/Tag==",
- "dev": true,
- "dependencies": {
- "estraverse": "^5.2.0"
- },
- "engines": {
- "node": ">=4.0"
- }
- },
- "node_modules/estraverse": {
- "version": "5.3.0",
- "resolved": "https://registry.npmjs.org/estraverse/-/estraverse-5.3.0.tgz",
- "integrity": "sha512-MMdARuVEQziNTeJD8DgMqmhwR11BRQ/cBP+pLtYdSTnf3MIO8fFeiINEbX36ZdNlfU/7A9f3gUw49B3oQsvwBA==",
- "engines": {
- "node": ">=4.0"
- }
- },
- "node_modules/estree-walker": {
- "version": "2.0.2",
- "resolved": "https://registry.npmjs.org/estree-walker/-/estree-walker-2.0.2.tgz",
- "integrity": "sha512-Rfkk/Mp/DL7JVje3u18FxFujQlTNR2q6QfMSMB7AvCBx91NGj/ba3kCfza0f6dVDbw7YlRf/nDrn7pQrCCyQ/w=="
- },
- "node_modules/esutils": {
- "version": "2.0.3",
- "resolved": "https://registry.npmjs.org/esutils/-/esutils-2.0.3.tgz",
- "integrity": "sha512-kVscqXk4OCp68SZ0dkgEKVi6/8ij300KBWTJq32P/dYeWTSwK41WyTxalN1eRmA5Z9UU/LX9D7FWSmV9SAYx6g==",
- "engines": {
- "node": ">=0.10.0"
- }
- },
- "node_modules/execa": {
- "version": "0.7.0",
- "resolved": "https://registry.npmjs.org/execa/-/execa-0.7.0.tgz",
- "integrity": "sha512-RztN09XglpYI7aBBrJCPW95jEH7YF1UEPOoX9yDhUTPdp7mK+CQvnLTuD10BNXZ3byLTu2uehZ8EcKT/4CGiFw==",
- "dev": true,
- "dependencies": {
- "cross-spawn": "^5.0.1",
- "get-stream": "^3.0.0",
- "is-stream": "^1.1.0",
- "npm-run-path": "^2.0.0",
- "p-finally": "^1.0.0",
- "signal-exit": "^3.0.0",
- "strip-eof": "^1.0.0"
- },
- "engines": {
- "node": ">=4"
- }
- },
- "node_modules/execa/node_modules/cross-spawn": {
- "version": "5.1.0",
- "resolved": "https://registry.npmjs.org/cross-spawn/-/cross-spawn-5.1.0.tgz",
- "integrity": "sha512-pTgQJ5KC0d2hcY8eyL1IzlBPYjTkyH72XRZPnLyKus2mBfNjQs3klqbJU2VILqZryAZUt9JOb3h/mWMy23/f5A==",
- "dev": true,
- "dependencies": {
- "lru-cache": "^4.0.1",
- "shebang-command": "^1.2.0",
- "which": "^1.2.9"
- }
- },
- "node_modules/execa/node_modules/lru-cache": {
- "version": "4.1.5",
- "resolved": "https://registry.npmjs.org/lru-cache/-/lru-cache-4.1.5.tgz",
- "integrity": "sha512-sWZlbEP2OsHNkXrMl5GYk/jKk70MBng6UU4YI/qGDYbgf6YbP4EvmqISbXCoJiRKs+1bSpFHVgQxvJ17F2li5g==",
- "dev": true,
- "dependencies": {
- "pseudomap": "^1.0.2",
- "yallist": "^2.1.2"
- }
- },
- "node_modules/execa/node_modules/shebang-command": {
- "version": "1.2.0",
- "resolved": "https://registry.npmjs.org/shebang-command/-/shebang-command-1.2.0.tgz",
- "integrity": "sha512-EV3L1+UQWGor21OmnvojK36mhg+TyIKDh3iFBKBohr5xeXIhNBcx8oWdgkTEEQ+BEFFYdLRuqMfd5L84N1V5Vg==",
- "dev": true,
- "dependencies": {
- "shebang-regex": "^1.0.0"
- },
- "engines": {
- "node": ">=0.10.0"
- }
- },
- "node_modules/execa/node_modules/shebang-regex": {
- "version": "1.0.0",
- "resolved": "https://registry.npmjs.org/shebang-regex/-/shebang-regex-1.0.0.tgz",
- "integrity": "sha512-wpoSFAxys6b2a2wHZ1XpDSgD7N9iVjg29Ph9uV/uaP9Ex/KXlkTZTeddxDPSYQpgvzKLGJke2UU0AzoGCjNIvQ==",
- "dev": true,
- "engines": {
- "node": ">=0.10.0"
- }
- },
- "node_modules/execa/node_modules/which": {
- "version": "1.3.1",
- "resolved": "https://registry.npmjs.org/which/-/which-1.3.1.tgz",
- "integrity": "sha512-HxJdYWq1MTIQbJ3nw0cqssHoTNU267KlrDuGZ1WYlxDStUtKUhOaJmh112/TZmHxxUfuJqPXSOm7tDyas0OSIQ==",
- "dev": true,
- "dependencies": {
- "isexe": "^2.0.0"
- },
- "bin": {
- "which": "bin/which"
- }
- },
- "node_modules/execa/node_modules/yallist": {
- "version": "2.1.2",
- "resolved": "https://registry.npmjs.org/yallist/-/yallist-2.1.2.tgz",
- "integrity": "sha512-ncTzHV7NvsQZkYe1DW7cbDLm0YpzHmZF5r/iyP3ZnQtMiJ+pjzisCiMNI+Sj+xQF5pXhSHxSB3uDbsBTzY/c2A==",
- "dev": true
- },
- "node_modules/executable": {
- "version": "4.1.1",
- "resolved": "https://registry.npmjs.org/executable/-/executable-4.1.1.tgz",
- "integrity": "sha512-8iA79xD3uAch729dUG8xaaBBFGaEa0wdD2VkYLFHwlqosEj/jT66AzcreRDSgV7ehnNLBW2WR5jIXwGKjVdTLg==",
- "dev": true,
- "dependencies": {
- "pify": "^2.2.0"
- },
- "engines": {
- "node": ">=4"
- }
- },
- "node_modules/ext-list": {
- "version": "2.2.2",
- "resolved": "https://registry.npmjs.org/ext-list/-/ext-list-2.2.2.tgz",
- "integrity": "sha512-u+SQgsubraE6zItfVA0tBuCBhfU9ogSRnsvygI7wht9TS510oLkBRXBsqopeUG/GBOIQyKZO9wjTqIu/sf5zFA==",
- "dev": true,
- "dependencies": {
- "mime-db": "^1.28.0"
- },
- "engines": {
- "node": ">=0.10.0"
- }
- },
- "node_modules/ext-name": {
- "version": "5.0.0",
- "resolved": "https://registry.npmjs.org/ext-name/-/ext-name-5.0.0.tgz",
- "integrity": "sha512-yblEwXAbGv1VQDmow7s38W77hzAgJAO50ztBLMcUyUBfxv1HC+LGwtiEN+Co6LtlqT/5uwVOxsD4TNIilWhwdQ==",
- "dev": true,
- "dependencies": {
- "ext-list": "^2.0.0",
- "sort-keys-length": "^1.0.0"
- },
- "engines": {
- "node": ">=4"
- }
- },
- "node_modules/extend": {
- "version": "3.0.2",
- "resolved": "https://registry.npmjs.org/extend/-/extend-3.0.2.tgz",
- "integrity": "sha512-fjquC59cD7CyW6urNXK0FBufkZcoiGG80wTuPujX590cB5Ttln20E2UB4S/WARVqhXffZl2LNgS+gQdPIIim/g=="
- },
- "node_modules/fast-deep-equal": {
- "version": "3.1.3",
- "resolved": "https://registry.npmjs.org/fast-deep-equal/-/fast-deep-equal-3.1.3.tgz",
- "integrity": "sha512-f3qQ9oQy9j2AhBe/H9VC91wLmKBCCU/gDOnKNAYG5hswO7BLKj09Hc5HYNz9cGI++xlpDCIgDaitVs03ATR84Q==",
- "dev": true
- },
- "node_modules/fast-glob": {
- "version": "3.3.2",
- "resolved": "https://registry.npmjs.org/fast-glob/-/fast-glob-3.3.2.tgz",
- "integrity": "sha512-oX2ruAFQwf/Orj8m737Y5adxDQO0LAB7/S5MnxCdTNDd4p6BsyIVsv9JQsATbTSq8KHRpLwIHbVlUNatxd+1Ow==",
- "dependencies": {
- "@nodelib/fs.stat": "^2.0.2",
- "@nodelib/fs.walk": "^1.2.3",
- "glob-parent": "^5.1.2",
- "merge2": "^1.3.0",
- "micromatch": "^4.0.4"
- },
- "engines": {
- "node": ">=8.6.0"
- }
- },
- "node_modules/fast-glob/node_modules/glob-parent": {
- "version": "5.1.2",
- "resolved": "https://registry.npmjs.org/glob-parent/-/glob-parent-5.1.2.tgz",
- "integrity": "sha512-AOIgSQCepiJYwP3ARnGx+5VnTu2HBYdzbGP45eLw1vr3zB3vZLeyed1sC9hnbcOc9/SrMyM5RPQrkGz4aS9Zow==",
- "dependencies": {
- "is-glob": "^4.0.1"
- },
- "engines": {
- "node": ">= 6"
- }
- },
- "node_modules/fast-json-stable-stringify": {
- "version": "2.1.0",
- "resolved": "https://registry.npmjs.org/fast-json-stable-stringify/-/fast-json-stable-stringify-2.1.0.tgz",
- "integrity": "sha512-lhd/wF+Lk98HZoTCtlVraHtfh5XYijIjalXck7saUtuanSDyLMxnHhSXEDJqHxD7msR8D0uCmqlkwjCV8xvwHw==",
- "dev": true
- },
- "node_modules/fast-levenshtein": {
- "version": "2.0.6",
- "resolved": "https://registry.npmjs.org/fast-levenshtein/-/fast-levenshtein-2.0.6.tgz",
- "integrity": "sha512-DCXu6Ifhqcks7TZKY3Hxp3y6qphY5SJZmrWMDrKcERSOXWQdMhU9Ig/PYrzyw/ul9jOIyh0N4M0tbC5hodg8dw==",
- "dev": true
- },
- "node_modules/fastparse": {
- "version": "1.1.2",
- "resolved": "https://registry.npmjs.org/fastparse/-/fastparse-1.1.2.tgz",
- "integrity": "sha512-483XLLxTVIwWK3QTrMGRqUfUpoOs/0hbQrl2oz4J0pAcm3A3bu84wxTFqGqkJzewCLdME38xJLJAxBABfQT8sQ==",
- "dev": true
- },
- "node_modules/fastq": {
- "version": "1.17.1",
- "resolved": "https://registry.npmjs.org/fastq/-/fastq-1.17.1.tgz",
- "integrity": "sha512-sRVD3lWVIXWg6By68ZN7vho9a1pQcN/WBFaAAsDDFzlJjvoGx0P8z7V1t72grFJfJhu3YPZBuu25f7Kaw2jN1w==",
- "dependencies": {
- "reusify": "^1.0.4"
- }
- },
- "node_modules/fault": {
- "version": "1.0.4",
- "resolved": "https://registry.npmjs.org/fault/-/fault-1.0.4.tgz",
- "integrity": "sha512-CJ0HCB5tL5fYTEA7ToAq5+kTwd++Borf1/bifxd9iT70QcXr4MRrO3Llf8Ifs70q+SJcGHFtnIE/Nw6giCtECA==",
- "dependencies": {
- "format": "^0.2.0"
- },
- "funding": {
- "type": "github",
- "url": "https://github.com/sponsors/wooorm"
- }
- },
- "node_modules/fetch-blob": {
- "version": "3.2.0",
- "resolved": "https://registry.npmjs.org/fetch-blob/-/fetch-blob-3.2.0.tgz",
- "integrity": "sha512-7yAQpD2UMJzLi1Dqv7qFYnPbaPx7ZfFK6PiIxQ4PfkGPyNyl2Ugx+a/umUonmKqjhM4DnfbMvdX6otXq83soQQ==",
- "funding": [
- {
- "type": "github",
- "url": "https://github.com/sponsors/jimmywarting"
- },
- {
- "type": "paypal",
- "url": "https://paypal.me/jimmywarting"
- }
- ],
- "dependencies": {
- "node-domexception": "^1.0.0",
- "web-streams-polyfill": "^3.0.3"
- },
- "engines": {
- "node": "^12.20 || >= 14.13"
- }
- },
- "node_modules/fetch-retry": {
- "version": "6.0.0",
- "resolved": "https://registry.npmjs.org/fetch-retry/-/fetch-retry-6.0.0.tgz",
- "integrity": "sha512-BUFj1aMubgib37I3v4q78fYo63Po7t4HUPTpQ6/QE6yK6cIQrP+W43FYToeTEyg5m2Y7eFUtijUuAv/PDlWuag=="
- },
- "node_modules/file-entry-cache": {
- "version": "6.0.1",
- "resolved": "https://registry.npmjs.org/file-entry-cache/-/file-entry-cache-6.0.1.tgz",
- "integrity": "sha512-7Gps/XWymbLk2QLYK4NzpMOrYjMhdIxXuIvy2QBsLE6ljuodKvdkWs/cpyJJ3CVIVpH0Oi1Hvg1ovbMzLdFBBg==",
- "dev": true,
- "dependencies": {
- "flat-cache": "^3.0.4"
- },
- "engines": {
- "node": "^10.12.0 || >=12.0.0"
- }
- },
- "node_modules/file-saver": {
- "version": "2.0.5",
- "resolved": "https://registry.npmjs.org/file-saver/-/file-saver-2.0.5.tgz",
- "integrity": "sha512-P9bmyZ3h/PRG+Nzga+rbdI4OEpNDzAVyy74uVO9ATgzLK6VtAsYybF/+TOCvrc0MO793d6+42lLyZTw7/ArVzA=="
- },
- "node_modules/file-type": {
- "version": "17.1.6",
- "resolved": "https://registry.npmjs.org/file-type/-/file-type-17.1.6.tgz",
- "integrity": "sha512-hlDw5Ev+9e883s0pwUsuuYNu4tD7GgpUnOvykjv1Gya0ZIjuKumthDRua90VUn6/nlRKAjcxLUnHNTIUWwWIiw==",
- "dev": true,
- "dependencies": {
- "readable-web-to-node-stream": "^3.0.2",
- "strtok3": "^7.0.0-alpha.9",
- "token-types": "^5.0.0-alpha.2"
- },
- "engines": {
- "node": "^12.20.0 || ^14.13.1 || >=16.0.0"
- },
- "funding": {
- "url": "https://github.com/sindresorhus/file-type?sponsor=1"
- }
- },
- "node_modules/filename-reserved-regex": {
- "version": "3.0.0",
- "resolved": "https://registry.npmjs.org/filename-reserved-regex/-/filename-reserved-regex-3.0.0.tgz",
- "integrity": "sha512-hn4cQfU6GOT/7cFHXBqeBg2TbrMBgdD0kcjLhvSQYYwm3s4B6cjvBfb7nBALJLAXqmU5xajSa7X2NnUud/VCdw==",
- "dev": true,
- "engines": {
- "node": "^12.20.0 || ^14.13.1 || >=16.0.0"
- },
- "funding": {
- "url": "https://github.com/sponsors/sindresorhus"
- }
- },
- "node_modules/filenamify": {
- "version": "5.1.1",
- "resolved": "https://registry.npmjs.org/filenamify/-/filenamify-5.1.1.tgz",
- "integrity": "sha512-M45CbrJLGACfrPOkrTp3j2EcO9OBkKUYME0eiqOCa7i2poaklU0jhlIaMlr8ijLorT0uLAzrn3qXOp5684CkfA==",
- "dev": true,
- "dependencies": {
- "filename-reserved-regex": "^3.0.0",
- "strip-outer": "^2.0.0",
- "trim-repeated": "^2.0.0"
- },
- "engines": {
- "node": ">=12.20"
- },
- "funding": {
- "url": "https://github.com/sponsors/sindresorhus"
- }
- },
- "node_modules/fill-range": {
- "version": "7.1.1",
- "resolved": "https://registry.npmjs.org/fill-range/-/fill-range-7.1.1.tgz",
- "integrity": "sha512-YsGpe3WHLK8ZYi4tWDg2Jy3ebRz2rXowDxnld4bkQB00cc/1Zw9AWnC0i9ztDJitivtQvaI9KaLyKrc+hBW0yg==",
- "dependencies": {
- "to-regex-range": "^5.0.1"
- },
- "engines": {
- "node": ">=8"
- }
- },
- "node_modules/find-up": {
- "version": "5.0.0",
- "resolved": "https://registry.npmjs.org/find-up/-/find-up-5.0.0.tgz",
- "integrity": "sha512-78/PXT1wlLLDgTzDs7sjq9hzz0vXD+zn+7wypEe4fXQxCmdmqfGsEPQxmiCSQI3ajFV91bVSsvNtrJRiW6nGng==",
- "dev": true,
- "dependencies": {
- "locate-path": "^6.0.0",
- "path-exists": "^4.0.0"
- },
- "engines": {
- "node": ">=10"
- },
- "funding": {
- "url": "https://github.com/sponsors/sindresorhus"
- }
- },
- "node_modules/find-versions": {
- "version": "5.1.0",
- "resolved": "https://registry.npmjs.org/find-versions/-/find-versions-5.1.0.tgz",
- "integrity": "sha512-+iwzCJ7C5v5KgcBuueqVoNiHVoQpwiUK5XFLjf0affFTep+Wcw93tPvmb8tqujDNmzhBDPddnWV/qgWSXgq+Hg==",
- "dev": true,
- "dependencies": {
- "semver-regex": "^4.0.5"
- },
- "engines": {
- "node": ">=12"
- },
- "funding": {
- "url": "https://github.com/sponsors/sindresorhus"
- }
- },
- "node_modules/flat-cache": {
- "version": "3.2.0",
- "resolved": "https://registry.npmjs.org/flat-cache/-/flat-cache-3.2.0.tgz",
- "integrity": "sha512-CYcENa+FtcUKLmhhqyctpclsq7QF38pKjZHsGNiSQF5r4FtoKDWabFDl3hzaEQMvT1LHEysw5twgLvpYYb4vbw==",
- "dev": true,
- "dependencies": {
- "flatted": "^3.2.9",
- "keyv": "^4.5.3",
- "rimraf": "^3.0.2"
- },
- "engines": {
- "node": "^10.12.0 || >=12.0.0"
- }
- },
- "node_modules/flatted": {
- "version": "3.3.1",
- "resolved": "https://registry.npmjs.org/flatted/-/flatted-3.3.1.tgz",
- "integrity": "sha512-X8cqMLLie7KsNUDSdzeN8FYK9rEt4Dt67OsG/DNGnYTSDBG4uFAJFBnUeiV+zCVAvwFy56IjM9sH51jVaEhNxw==",
- "dev": true
- },
- "node_modules/follow-redirects": {
- "version": "1.15.6",
- "resolved": "https://registry.npmjs.org/follow-redirects/-/follow-redirects-1.15.6.tgz",
- "integrity": "sha512-wWN62YITEaOpSK584EZXJafH1AGpO8RVgElfkuXbTOrPX4fIfOyEpW/CsiNd8JdYrAoOvafRTOEnvsO++qCqFA==",
- "funding": [
- {
- "type": "individual",
- "url": "https://github.com/sponsors/RubenVerborgh"
- }
- ],
- "engines": {
- "node": ">=4.0"
- },
- "peerDependenciesMeta": {
- "debug": {
- "optional": true
- }
- }
- },
- "node_modules/for-each": {
- "version": "0.3.3",
- "resolved": "https://registry.npmjs.org/for-each/-/for-each-0.3.3.tgz",
- "integrity": "sha512-jqYfLp7mo9vIyQf8ykW2v7A+2N4QjeCeI5+Dz9XraiO1ign81wjiH7Fb9vSOWvQfNtmSa4H2RoQTrrXivdUZmw==",
- "dev": true,
- "dependencies": {
- "is-callable": "^1.1.3"
- }
- },
- "node_modules/foreground-child": {
- "version": "3.1.1",
- "resolved": "https://registry.npmjs.org/foreground-child/-/foreground-child-3.1.1.tgz",
- "integrity": "sha512-TMKDUnIte6bfb5nWv7V/caI169OHgvwjb7V4WkeUvbQQdjr5rWKqHFiKWb/fcOwB+CzBT+qbWjvj+DVwRskpIg==",
- "dependencies": {
- "cross-spawn": "^7.0.0",
- "signal-exit": "^4.0.1"
- },
- "engines": {
- "node": ">=14"
- },
- "funding": {
- "url": "https://github.com/sponsors/isaacs"
- }
- },
- "node_modules/foreground-child/node_modules/signal-exit": {
- "version": "4.1.0",
- "resolved": "https://registry.npmjs.org/signal-exit/-/signal-exit-4.1.0.tgz",
- "integrity": "sha512-bzyZ1e88w9O1iNJbKnOlvYTrWPDl46O1bG0D3XInv+9tkPrxrN8jUUTiFlDkkmKWgn1M6CfIA13SuGqOa9Korw==",
- "engines": {
- "node": ">=14"
- },
- "funding": {
- "url": "https://github.com/sponsors/isaacs"
- }
- },
- "node_modules/form-data": {
- "version": "4.0.0",
- "resolved": "https://registry.npmjs.org/form-data/-/form-data-4.0.0.tgz",
- "integrity": "sha512-ETEklSGi5t0QMZuiXoA/Q6vcnxcLQP5vdugSpuAyi6SVGi2clPPp+xgEhuMaHC+zGgn31Kd235W35f7Hykkaww==",
- "dependencies": {
- "asynckit": "^0.4.0",
- "combined-stream": "^1.0.8",
- "mime-types": "^2.1.12"
- },
- "engines": {
- "node": ">= 6"
- }
- },
- "node_modules/format": {
- "version": "0.2.2",
- "resolved": "https://registry.npmjs.org/format/-/format-0.2.2.tgz",
- "integrity": "sha512-wzsgA6WOq+09wrU1tsJ09udeR/YZRaeArL9e1wPbFg3GG2yDnC2ldKpxs4xunpFF9DgqCqOIra3bc1HWrJ37Ww==",
- "engines": {
- "node": ">=0.4.x"
- }
- },
- "node_modules/formdata-polyfill": {
- "version": "4.0.10",
- "resolved": "https://registry.npmjs.org/formdata-polyfill/-/formdata-polyfill-4.0.10.tgz",
- "integrity": "sha512-buewHzMvYL29jdeQTVILecSaZKnt/RJWjoZCF5OW60Z67/GmSLBkOFM7qh1PI3zFNtJbaZL5eQu1vLfazOwj4g==",
- "dependencies": {
- "fetch-blob": "^3.1.2"
- },
- "engines": {
- "node": ">=12.20.0"
- }
- },
- "node_modules/fraction.js": {
- "version": "4.3.7",
- "resolved": "https://registry.npmjs.org/fraction.js/-/fraction.js-4.3.7.tgz",
- "integrity": "sha512-ZsDfxO51wGAXREY55a7la9LScWpwv9RxIrYABrlvOFBlH/ShPnrtsXeuUIfXKKOVicNxQ+o8JTbJvjS4M89yew==",
- "dev": true,
- "engines": {
- "node": "*"
- },
- "funding": {
- "type": "patreon",
- "url": "https://github.com/sponsors/rawify"
- }
- },
- "node_modules/framer-motion": {
- "version": "11.2.6",
- "resolved": "https://registry.npmjs.org/framer-motion/-/framer-motion-11.2.6.tgz",
- "integrity": "sha512-XUrjjBt57e5YoHQtjwc3eNchFBuHvIgN/cS8SC4oIaAn2J/0+bLanUxXizidJKZVeHJam/JrmMnPRjYMglVn5g==",
- "dependencies": {
- "tslib": "^2.4.0"
- },
- "peerDependencies": {
- "@emotion/is-prop-valid": "*",
- "react": "^18.0.0",
- "react-dom": "^18.0.0"
- },
- "peerDependenciesMeta": {
- "@emotion/is-prop-valid": {
- "optional": true
- },
- "react": {
- "optional": true
- },
- "react-dom": {
- "optional": true
- }
- }
- },
- "node_modules/fs-extra": {
- "version": "11.2.0",
- "resolved": "https://registry.npmjs.org/fs-extra/-/fs-extra-11.2.0.tgz",
- "integrity": "sha512-PmDi3uwK5nFuXh7XDTlVnS17xJS7vW36is2+w3xcv8SVxiB4NyATf4ctkVY5bkSjX0Y4nbvZCq1/EjtEyr9ktw==",
- "dependencies": {
- "graceful-fs": "^4.2.0",
- "jsonfile": "^6.0.1",
- "universalify": "^2.0.0"
- },
- "engines": {
- "node": ">=14.14"
- }
- },
- "node_modules/fs-minipass": {
- "version": "2.1.0",
- "resolved": "https://registry.npmjs.org/fs-minipass/-/fs-minipass-2.1.0.tgz",
- "integrity": "sha512-V/JgOLFCS+R6Vcq0slCuaeWEdNC3ouDlJMNIsacH2VtALiu9mV4LPrHc5cDl8k5aw6J8jwgWWpiTo5RYhmIzvg==",
- "optional": true,
- "dependencies": {
- "minipass": "^3.0.0"
- },
- "engines": {
- "node": ">= 8"
- }
- },
- "node_modules/fs-minipass/node_modules/minipass": {
- "version": "3.3.6",
- "resolved": "https://registry.npmjs.org/minipass/-/minipass-3.3.6.tgz",
- "integrity": "sha512-DxiNidxSEK+tHG6zOIklvNOwm3hvCrbUrdtzY74U6HKTJxvIDfOUL5W5P2Ghd3DTkhhKPYGqeNUIh5qcM4YBfw==",
- "optional": true,
- "dependencies": {
- "yallist": "^4.0.0"
- },
- "engines": {
- "node": ">=8"
- }
- },
- "node_modules/fs-minipass/node_modules/yallist": {
- "version": "4.0.0",
- "resolved": "https://registry.npmjs.org/yallist/-/yallist-4.0.0.tgz",
- "integrity": "sha512-3wdGidZyq5PB084XLES5TpOSRA3wjXAlIWMhum2kRcv/41Sn2emQ0dycQW4uZXLejwKvg6EsvbdlVL+FYEct7A==",
- "optional": true
- },
- "node_modules/fs.realpath": {
- "version": "1.0.0",
- "resolved": "https://registry.npmjs.org/fs.realpath/-/fs.realpath-1.0.0.tgz",
- "integrity": "sha512-OO0pH2lK6a0hZnAdau5ItzHPI6pUlvI7jMVnxUQRtw4owF2wk8lOSabtGDCTP4Ggrg2MbGnWO9X8K1t4+fGMDw==",
- "devOptional": true
- },
- "node_modules/fsevents": {
- "version": "2.3.2",
- "resolved": "https://registry.npmjs.org/fsevents/-/fsevents-2.3.2.tgz",
- "integrity": "sha512-xiqMQR4xAeHTuB9uWm+fFRcIOgKBMiOBP+eXiyT7jsgVCq1bkVygt00oASowB7EdtpOHaaPgKt812P9ab+DDKA==",
- "hasInstallScript": true,
- "optional": true,
- "os": [
- "darwin"
- ],
- "engines": {
- "node": "^8.16.0 || ^10.6.0 || >=11.0.0"
- }
- },
- "node_modules/function-bind": {
- "version": "1.1.2",
- "resolved": "https://registry.npmjs.org/function-bind/-/function-bind-1.1.2.tgz",
- "integrity": "sha512-7XHNxH7qX9xG5mIwxkhumTox/MIRNcOgDrxWsMt2pAr23WHp6MrRlN7FBSFpCpr+oVO0F744iUgR82nJMfG2SA==",
- "funding": {
- "url": "https://github.com/sponsors/ljharb"
- }
- },
- "node_modules/functions-have-names": {
- "version": "1.2.3",
- "resolved": "https://registry.npmjs.org/functions-have-names/-/functions-have-names-1.2.3.tgz",
- "integrity": "sha512-xckBUXyTIqT97tq2x2AMb+g163b5JFysYk0x4qxNFwbfQkmNZoiRHb6sPzI9/QV33WeuvVYBUIiD4NzNIyqaRQ==",
- "dev": true,
- "funding": {
- "url": "https://github.com/sponsors/ljharb"
- }
- },
- "node_modules/gauge": {
- "version": "3.0.2",
- "resolved": "https://registry.npmjs.org/gauge/-/gauge-3.0.2.tgz",
- "integrity": "sha512-+5J6MS/5XksCuXq++uFRsnUd7Ovu1XenbeuIuNRJxYWjgQbPuFhT14lAvsWfqfAmnwluf1OwMjz39HjfLPci0Q==",
- "deprecated": "This package is no longer supported.",
- "optional": true,
- "dependencies": {
- "aproba": "^1.0.3 || ^2.0.0",
- "color-support": "^1.1.2",
- "console-control-strings": "^1.0.0",
- "has-unicode": "^2.0.1",
- "object-assign": "^4.1.1",
- "signal-exit": "^3.0.0",
- "string-width": "^4.2.3",
- "strip-ansi": "^6.0.1",
- "wide-align": "^1.1.2"
- },
- "engines": {
- "node": ">=10"
- }
- },
- "node_modules/gensync": {
- "version": "1.0.0-beta.2",
- "resolved": "https://registry.npmjs.org/gensync/-/gensync-1.0.0-beta.2.tgz",
- "integrity": "sha512-3hN7NaskYvMDLQY55gnW3NQ+mesEAepTqlg+VEbj7zzqEMBVNhzcGYYeqFo/TlYz6eQiFcp1HcsCZO+nGgS8zg==",
- "engines": {
- "node": ">=6.9.0"
- }
- },
- "node_modules/get-caller-file": {
- "version": "2.0.5",
- "resolved": "https://registry.npmjs.org/get-caller-file/-/get-caller-file-2.0.5.tgz",
- "integrity": "sha512-DyFP3BM/3YHTQOCUL/w0OZHR0lpKeGrxotcHWcqNEdnltqFwXVfhEBQ94eIo34AfQpo0rGki4cyIiftY06h2Fg==",
- "engines": {
- "node": "6.* || 8.* || >= 10.*"
- }
- },
- "node_modules/get-intrinsic": {
- "version": "1.2.4",
- "resolved": "https://registry.npmjs.org/get-intrinsic/-/get-intrinsic-1.2.4.tgz",
- "integrity": "sha512-5uYhsJH8VJBTv7oslg4BznJYhDoRI6waYCxMmCdnTrcCrHA/fCFKoTFz2JKKE0HdDFUF7/oQuhzumXJK7paBRQ==",
- "dev": true,
- "dependencies": {
- "es-errors": "^1.3.0",
- "function-bind": "^1.1.2",
- "has-proto": "^1.0.1",
- "has-symbols": "^1.0.3",
- "hasown": "^2.0.0"
- },
- "engines": {
- "node": ">= 0.4"
- },
- "funding": {
- "url": "https://github.com/sponsors/ljharb"
- }
- },
- "node_modules/get-nonce": {
- "version": "1.0.1",
- "resolved": "https://registry.npmjs.org/get-nonce/-/get-nonce-1.0.1.tgz",
- "integrity": "sha512-FJhYRoDaiatfEkUK8HKlicmu/3SGFD51q3itKDGoSTysQJBnfOcxU5GxnhE1E6soB76MbT0MBtnKJuXyAx+96Q==",
- "engines": {
- "node": ">=6"
- }
- },
- "node_modules/get-stream": {
- "version": "3.0.0",
- "resolved": "https://registry.npmjs.org/get-stream/-/get-stream-3.0.0.tgz",
- "integrity": "sha512-GlhdIUuVakc8SJ6kK0zAFbiGzRFzNnY4jUuEbV9UROo4Y+0Ny4fjvcZFVTeDA4odpFyOQzaw6hXukJSq/f28sQ==",
- "dev": true,
- "engines": {
- "node": ">=4"
- }
- },
- "node_modules/glob": {
- "version": "7.2.3",
- "resolved": "https://registry.npmjs.org/glob/-/glob-7.2.3.tgz",
- "integrity": "sha512-nFR0zLpU2YCaRxwoCJvL6UvCH2JFyFVIvwTLsIf21AuHlMskA1hhTdk+LlYJtOlYt9v6dvszD2BGRqBL+iQK9Q==",
- "devOptional": true,
- "dependencies": {
- "fs.realpath": "^1.0.0",
- "inflight": "^1.0.4",
- "inherits": "2",
- "minimatch": "^3.1.1",
- "once": "^1.3.0",
- "path-is-absolute": "^1.0.0"
- },
- "engines": {
- "node": "*"
- },
- "funding": {
- "url": "https://github.com/sponsors/isaacs"
- }
- },
- "node_modules/glob-parent": {
- "version": "6.0.2",
- "resolved": "https://registry.npmjs.org/glob-parent/-/glob-parent-6.0.2.tgz",
- "integrity": "sha512-XxwI8EOhVQgWp6iDL+3b0r86f4d6AX6zSU55HfB4ydCEuXLXc5FcYeOu+nnGftS4TEju/11rt4KJPTMgbfmv4A==",
- "dependencies": {
- "is-glob": "^4.0.3"
- },
- "engines": {
- "node": ">=10.13.0"
- }
- },
- "node_modules/glob/node_modules/brace-expansion": {
- "version": "1.1.11",
- "resolved": "https://registry.npmjs.org/brace-expansion/-/brace-expansion-1.1.11.tgz",
- "integrity": "sha512-iCuPHDFgrHX7H2vEI/5xpz07zSHB00TpugqhmYtVmMO6518mCuRMoOYFldEBl0g187ufozdaHgWKcYFb61qGiA==",
- "devOptional": true,
- "dependencies": {
- "balanced-match": "^1.0.0",
- "concat-map": "0.0.1"
- }
- },
- "node_modules/glob/node_modules/minimatch": {
- "version": "3.1.2",
- "resolved": "https://registry.npmjs.org/minimatch/-/minimatch-3.1.2.tgz",
- "integrity": "sha512-J7p63hRiAjw1NDEww1W7i37+ByIrOWO5XQQAzZ3VOcL0PNybwpfmV/N05zFAzwQ9USyEcX6t3UO+K5aqBQOIHw==",
- "devOptional": true,
- "dependencies": {
- "brace-expansion": "^1.1.7"
- },
- "engines": {
- "node": "*"
- }
- },
- "node_modules/globals": {
- "version": "11.12.0",
- "resolved": "https://registry.npmjs.org/globals/-/globals-11.12.0.tgz",
- "integrity": "sha512-WOBp/EEGUiIsJSp7wcv/y6MO+lV9UoncWqxuFfm8eBwzWNgyfBd6Gz+IeKQ9jCmyhoH99g15M3T+QaVHFjizVA==",
- "engines": {
- "node": ">=4"
- }
- },
- "node_modules/gopd": {
- "version": "1.0.1",
- "resolved": "https://registry.npmjs.org/gopd/-/gopd-1.0.1.tgz",
- "integrity": "sha512-d65bNlIadxvpb/A2abVdlqKqV563juRnZ1Wtk6s1sIR8uNsXR70xqIzVqxVf1eTqDunwT2MkczEeaezCKTZhwA==",
- "dev": true,
- "dependencies": {
- "get-intrinsic": "^1.1.3"
- },
- "funding": {
- "url": "https://github.com/sponsors/ljharb"
- }
- },
- "node_modules/got": {
- "version": "11.8.6",
- "resolved": "https://registry.npmjs.org/got/-/got-11.8.6.tgz",
- "integrity": "sha512-6tfZ91bOr7bOXnK7PRDCGBLa1H4U080YHNaAQ2KsMGlLEzRbk44nsZF2E1IeRc3vtJHPVbKCYgdFbaGO2ljd8g==",
- "dev": true,
- "dependencies": {
- "@sindresorhus/is": "^4.0.0",
- "@szmarczak/http-timer": "^4.0.5",
- "@types/cacheable-request": "^6.0.1",
- "@types/responselike": "^1.0.0",
- "cacheable-lookup": "^5.0.3",
- "cacheable-request": "^7.0.2",
- "decompress-response": "^6.0.0",
- "http2-wrapper": "^1.0.0-beta.5.2",
- "lowercase-keys": "^2.0.0",
- "p-cancelable": "^2.0.0",
- "responselike": "^2.0.0"
- },
- "engines": {
- "node": ">=10.19.0"
- },
- "funding": {
- "url": "https://github.com/sindresorhus/got?sponsor=1"
- }
- },
- "node_modules/graceful-fs": {
- "version": "4.2.11",
- "resolved": "https://registry.npmjs.org/graceful-fs/-/graceful-fs-4.2.11.tgz",
- "integrity": "sha512-RbJ5/jmFcNNCcDV5o9eTnBLJ/HszWV0P73bc+Ff4nS/rJj+YaS6IGyiOL0VoBYX+l1Wrl3k63h/KrH+nhJ0XvQ=="
- },
- "node_modules/graphemer": {
- "version": "1.4.0",
- "resolved": "https://registry.npmjs.org/graphemer/-/graphemer-1.4.0.tgz",
- "integrity": "sha512-EtKwoO6kxCL9WO5xipiHTZlSzBm7WLT627TqC/uVRd0HKmq8NXyebnNYxDoBi7wt8eTWrUrKXCOVaFq9x1kgag==",
- "dev": true
- },
- "node_modules/has-bigints": {
- "version": "1.0.2",
- "resolved": "https://registry.npmjs.org/has-bigints/-/has-bigints-1.0.2.tgz",
- "integrity": "sha512-tSvCKtBr9lkF0Ex0aQiP9N+OpV4zi2r/Nee5VkRDbaqv35RLYMzbwQfFSZZH0kR+Rd6302UJZ2p/bJCEoR3VoQ==",
- "dev": true,
- "funding": {
- "url": "https://github.com/sponsors/ljharb"
- }
- },
- "node_modules/has-flag": {
- "version": "3.0.0",
- "resolved": "https://registry.npmjs.org/has-flag/-/has-flag-3.0.0.tgz",
- "integrity": "sha512-sKJf1+ceQBr4SMkvQnBDNDtf4TXpVhVGateu0t918bl30FnbE2m4vNLX+VWe/dpjlb+HugGYzW7uQXH98HPEYw==",
- "engines": {
- "node": ">=4"
- }
- },
- "node_modules/has-property-descriptors": {
- "version": "1.0.2",
- "resolved": "https://registry.npmjs.org/has-property-descriptors/-/has-property-descriptors-1.0.2.tgz",
- "integrity": "sha512-55JNKuIW+vq4Ke1BjOTjM2YctQIvCT7GFzHwmfZPGo5wnrgkid0YQtnAleFSqumZm4az3n2BS+erby5ipJdgrg==",
- "dev": true,
- "dependencies": {
- "es-define-property": "^1.0.0"
- },
- "funding": {
- "url": "https://github.com/sponsors/ljharb"
- }
- },
- "node_modules/has-proto": {
- "version": "1.0.3",
- "resolved": "https://registry.npmjs.org/has-proto/-/has-proto-1.0.3.tgz",
- "integrity": "sha512-SJ1amZAJUiZS+PhsVLf5tGydlaVB8EdFpaSO4gmiUKUOxk8qzn5AIy4ZeJUmh22znIdk/uMAUT2pl3FxzVUH+Q==",
- "dev": true,
- "engines": {
- "node": ">= 0.4"
- },
- "funding": {
- "url": "https://github.com/sponsors/ljharb"
- }
- },
- "node_modules/has-symbols": {
- "version": "1.0.3",
- "resolved": "https://registry.npmjs.org/has-symbols/-/has-symbols-1.0.3.tgz",
- "integrity": "sha512-l3LCuF6MgDNwTDKkdYGEihYjt5pRPbEg46rtlmnSPlUbgmB8LOIrKJbYYFBSbnPaJexMKtiPO8hmeRjRz2Td+A==",
- "dev": true,
- "engines": {
- "node": ">= 0.4"
- },
- "funding": {
- "url": "https://github.com/sponsors/ljharb"
- }
- },
- "node_modules/has-tostringtag": {
- "version": "1.0.2",
- "resolved": "https://registry.npmjs.org/has-tostringtag/-/has-tostringtag-1.0.2.tgz",
- "integrity": "sha512-NqADB8VjPFLM2V0VvHUewwwsw0ZWBaIdgo+ieHtK3hasLz4qeCRjYcqfB6AQrBggRKppKF8L52/VqdVsO47Dlw==",
- "dev": true,
- "dependencies": {
- "has-symbols": "^1.0.3"
- },
- "engines": {
- "node": ">= 0.4"
- },
- "funding": {
- "url": "https://github.com/sponsors/ljharb"
- }
- },
- "node_modules/has-unicode": {
- "version": "2.0.1",
- "resolved": "https://registry.npmjs.org/has-unicode/-/has-unicode-2.0.1.tgz",
- "integrity": "sha512-8Rf9Y83NBReMnx0gFzA8JImQACstCYWUplepDa9xprwwtmgEZUF0h/i5xSA625zB/I37EtrswSST6OXxwaaIJQ==",
- "optional": true
- },
- "node_modules/hasown": {
- "version": "2.0.2",
- "resolved": "https://registry.npmjs.org/hasown/-/hasown-2.0.2.tgz",
- "integrity": "sha512-0hJU9SCPvmMzIBdZFqNPXWa6dqh7WdH0cII9y+CyS8rG3nL48Bclra9HmKhVVUHyPWNH5Y7xDwAB7bfgSjkUMQ==",
- "dependencies": {
- "function-bind": "^1.1.2"
- },
- "engines": {
- "node": ">= 0.4"
- }
- },
- "node_modules/hast-util-from-dom": {
- "version": "4.2.0",
- "resolved": "https://registry.npmjs.org/hast-util-from-dom/-/hast-util-from-dom-4.2.0.tgz",
- "integrity": "sha512-t1RJW/OpJbCAJQeKi3Qrj1cAOLA0+av/iPFori112+0X7R3wng+jxLA+kXec8K4szqPRGI8vPxbbpEYvvpwaeQ==",
- "dependencies": {
- "hastscript": "^7.0.0",
- "web-namespaces": "^2.0.0"
- },
- "funding": {
- "type": "opencollective",
- "url": "https://opencollective.com/unified"
- }
- },
- "node_modules/hast-util-from-dom/node_modules/hast-util-parse-selector": {
- "version": "3.1.1",
- "resolved": "https://registry.npmjs.org/hast-util-parse-selector/-/hast-util-parse-selector-3.1.1.tgz",
- "integrity": "sha512-jdlwBjEexy1oGz0aJ2f4GKMaVKkA9jwjr4MjAAI22E5fM/TXVZHuS5OpONtdeIkRKqAaryQ2E9xNQxijoThSZA==",
- "dependencies": {
- "@types/hast": "^2.0.0"
- },
- "funding": {
- "type": "opencollective",
- "url": "https://opencollective.com/unified"
- }
- },
- "node_modules/hast-util-from-dom/node_modules/hastscript": {
- "version": "7.2.0",
- "resolved": "https://registry.npmjs.org/hastscript/-/hastscript-7.2.0.tgz",
- "integrity": "sha512-TtYPq24IldU8iKoJQqvZOuhi5CyCQRAbvDOX0x1eW6rsHSxa/1i2CCiptNTotGHJ3VoHRGmqiv6/D3q113ikkw==",
- "dependencies": {
- "@types/hast": "^2.0.0",
- "comma-separated-tokens": "^2.0.0",
- "hast-util-parse-selector": "^3.0.0",
- "property-information": "^6.0.0",
- "space-separated-tokens": "^2.0.0"
- },
- "funding": {
- "type": "opencollective",
- "url": "https://opencollective.com/unified"
- }
- },
- "node_modules/hast-util-is-element": {
- "version": "2.1.3",
- "resolved": "https://registry.npmjs.org/hast-util-is-element/-/hast-util-is-element-2.1.3.tgz",
- "integrity": "sha512-O1bKah6mhgEq2WtVMk+Ta5K7pPMqsBBlmzysLdcwKVrqzZQ0CHqUPiIVspNhAG1rvxpvJjtGee17XfauZYKqVA==",
- "dependencies": {
- "@types/hast": "^2.0.0",
- "@types/unist": "^2.0.0"
- },
- "funding": {
- "type": "opencollective",
- "url": "https://opencollective.com/unified"
- }
- },
- "node_modules/hast-util-parse-selector": {
- "version": "2.2.5",
- "resolved": "https://registry.npmjs.org/hast-util-parse-selector/-/hast-util-parse-selector-2.2.5.tgz",
- "integrity": "sha512-7j6mrk/qqkSehsM92wQjdIgWM2/BW61u/53G6xmC8i1OmEdKLHbk419QKQUjz6LglWsfqoiHmyMRkP1BGjecNQ==",
- "funding": {
- "type": "opencollective",
- "url": "https://opencollective.com/unified"
- }
- },
- "node_modules/hast-util-to-text": {
- "version": "3.1.2",
- "resolved": "https://registry.npmjs.org/hast-util-to-text/-/hast-util-to-text-3.1.2.tgz",
- "integrity": "sha512-tcllLfp23dJJ+ju5wCCZHVpzsQQ43+moJbqVX3jNWPB7z/KFC4FyZD6R7y94cHL6MQ33YtMZL8Z0aIXXI4XFTw==",
- "dependencies": {
- "@types/hast": "^2.0.0",
- "@types/unist": "^2.0.0",
- "hast-util-is-element": "^2.0.0",
- "unist-util-find-after": "^4.0.0"
- },
- "funding": {
- "type": "opencollective",
- "url": "https://opencollective.com/unified"
- }
- },
- "node_modules/hast-util-whitespace": {
- "version": "2.0.1",
- "resolved": "https://registry.npmjs.org/hast-util-whitespace/-/hast-util-whitespace-2.0.1.tgz",
- "integrity": "sha512-nAxA0v8+vXSBDt3AnRUNjyRIQ0rD+ntpbAp4LnPkumc5M9yUbSMa4XDU9Q6etY4f1Wp4bNgvc1yjiZtsTTrSng==",
- "funding": {
- "type": "opencollective",
- "url": "https://opencollective.com/unified"
- }
- },
- "node_modules/hastscript": {
- "version": "6.0.0",
- "resolved": "https://registry.npmjs.org/hastscript/-/hastscript-6.0.0.tgz",
- "integrity": "sha512-nDM6bvd7lIqDUiYEiu5Sl/+6ReP0BMk/2f4U/Rooccxkj0P5nm+acM5PrGJ/t5I8qPGiqZSE6hVAwZEdZIvP4w==",
- "dependencies": {
- "@types/hast": "^2.0.0",
- "comma-separated-tokens": "^1.0.0",
- "hast-util-parse-selector": "^2.0.0",
- "property-information": "^5.0.0",
- "space-separated-tokens": "^1.0.0"
- },
- "funding": {
- "type": "opencollective",
- "url": "https://opencollective.com/unified"
- }
- },
- "node_modules/hastscript/node_modules/comma-separated-tokens": {
- "version": "1.0.8",
- "resolved": "https://registry.npmjs.org/comma-separated-tokens/-/comma-separated-tokens-1.0.8.tgz",
- "integrity": "sha512-GHuDRO12Sypu2cV70d1dkA2EUmXHgntrzbpvOB+Qy+49ypNfGgFQIC2fhhXbnyrJRynDCAARsT7Ou0M6hirpfw==",
- "funding": {
- "type": "github",
- "url": "https://github.com/sponsors/wooorm"
- }
- },
- "node_modules/hastscript/node_modules/property-information": {
- "version": "5.6.0",
- "resolved": "https://registry.npmjs.org/property-information/-/property-information-5.6.0.tgz",
- "integrity": "sha512-YUHSPk+A30YPv+0Qf8i9Mbfe/C0hdPXk1s1jPVToV8pk8BQtpw10ct89Eo7OWkutrwqvT0eicAxlOg3dOAu8JA==",
- "dependencies": {
- "xtend": "^4.0.0"
- },
- "funding": {
- "type": "github",
- "url": "https://github.com/sponsors/wooorm"
- }
- },
- "node_modules/hastscript/node_modules/space-separated-tokens": {
- "version": "1.1.5",
- "resolved": "https://registry.npmjs.org/space-separated-tokens/-/space-separated-tokens-1.1.5.tgz",
- "integrity": "sha512-q/JSVd1Lptzhf5bkYm4ob4iWPjx0KiRe3sRFBNrVqbJkFaBm5vbbowy1mymoPNLRa52+oadOhJ+K49wsSeSjTA==",
- "funding": {
- "type": "github",
- "url": "https://github.com/sponsors/wooorm"
- }
- },
- "node_modules/highlight.js": {
- "version": "10.7.3",
- "resolved": "https://registry.npmjs.org/highlight.js/-/highlight.js-10.7.3.tgz",
- "integrity": "sha512-tzcUFauisWKNHaRkN4Wjl/ZA07gENAjFl3J/c480dprkGTg5EQstgaNFqBfUqCq54kZRIEcreTsAgF/m2quD7A==",
- "engines": {
- "node": "*"
- }
- },
- "node_modules/hoist-non-react-statics": {
- "version": "3.3.2",
- "resolved": "https://registry.npmjs.org/hoist-non-react-statics/-/hoist-non-react-statics-3.3.2.tgz",
- "integrity": "sha512-/gGivxi8JPKWNm/W0jSmzcMPpfpPLc3dY/6GxhX2hQ9iGj3aDfklV4ET7NjKpSinLpJ5vafa9iiGIEZg10SfBw==",
- "dependencies": {
- "react-is": "^16.7.0"
- }
- },
- "node_modules/hoist-non-react-statics/node_modules/react-is": {
- "version": "16.13.1",
- "resolved": "https://registry.npmjs.org/react-is/-/react-is-16.13.1.tgz",
- "integrity": "sha512-24e6ynE2H+OKt4kqsOvNd8kBpV65zoxbA4BVsEOB3ARVWQki/DHzaUoC5KuON/BiccDaCCTZBuOcfZs70kR8bQ=="
- },
- "node_modules/html-encoding-sniffer": {
- "version": "3.0.0",
- "resolved": "https://registry.npmjs.org/html-encoding-sniffer/-/html-encoding-sniffer-3.0.0.tgz",
- "integrity": "sha512-oWv4T4yJ52iKrufjnyZPkrN0CH3QnrUqdB6In1g5Fe1mia8GmF36gnfNySxoZtxD5+NmYw1EElVXiBk93UeskA==",
- "dependencies": {
- "whatwg-encoding": "^2.0.0"
- },
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/http-cache-semantics": {
- "version": "4.1.1",
- "resolved": "https://registry.npmjs.org/http-cache-semantics/-/http-cache-semantics-4.1.1.tgz",
- "integrity": "sha512-er295DKPVsV82j5kw1Gjt+ADA/XYHsajl82cGNQG2eyoPkvgUhX+nDIyelzhIWbbsXP39EHcI6l5tYs2FYqYXQ==",
- "dev": true
- },
- "node_modules/http-proxy-agent": {
- "version": "5.0.0",
- "resolved": "https://registry.npmjs.org/http-proxy-agent/-/http-proxy-agent-5.0.0.tgz",
- "integrity": "sha512-n2hY8YdoRE1i7r6M0w9DIw5GgZN0G25P8zLCRQ8rjXtTU3vsNFBI/vWK/UIeE6g5MUUz6avwAPXmL6Fy9D/90w==",
- "dependencies": {
- "@tootallnate/once": "2",
- "agent-base": "6",
- "debug": "4"
- },
- "engines": {
- "node": ">= 6"
- }
- },
- "node_modules/http2-wrapper": {
- "version": "1.0.3",
- "resolved": "https://registry.npmjs.org/http2-wrapper/-/http2-wrapper-1.0.3.tgz",
- "integrity": "sha512-V+23sDMr12Wnz7iTcDeJr3O6AIxlnvT/bmaAAAP/Xda35C90p9599p0F1eHR/N1KILWSoWVAiOMFjBBXaXSMxg==",
- "dev": true,
- "dependencies": {
- "quick-lru": "^5.1.1",
- "resolve-alpn": "^1.0.0"
- },
- "engines": {
- "node": ">=10.19.0"
- }
- },
- "node_modules/https-proxy-agent": {
- "version": "5.0.1",
- "resolved": "https://registry.npmjs.org/https-proxy-agent/-/https-proxy-agent-5.0.1.tgz",
- "integrity": "sha512-dFcAjpTQFgoLMzC2VwU+C/CbS7uRL0lWmxDITmqm7C+7F0Odmj6s9l6alZc6AELXhrnggM2CeWSXHGOdX2YtwA==",
- "dependencies": {
- "agent-base": "6",
- "debug": "4"
- },
- "engines": {
- "node": ">= 6"
- }
- },
- "node_modules/human-signals": {
- "version": "2.1.0",
- "resolved": "https://registry.npmjs.org/human-signals/-/human-signals-2.1.0.tgz",
- "integrity": "sha512-B4FFZ6q/T2jhhksgkbEW3HBvWIfDW85snkQgawt07S7J5QXTk6BkNV+0yAeZrM5QpMAdYlocGoljn0sJ/WQkFw==",
- "dev": true,
- "engines": {
- "node": ">=10.17.0"
- }
- },
- "node_modules/iconv-lite": {
- "version": "0.6.3",
- "resolved": "https://registry.npmjs.org/iconv-lite/-/iconv-lite-0.6.3.tgz",
- "integrity": "sha512-4fCk79wshMdzMp2rH06qWrJE4iolqLhCUH+OiuIgU++RB0+94NlDL81atO7GX55uUKueo0txHNtvEyI6D7WdMw==",
- "dependencies": {
- "safer-buffer": ">= 2.1.2 < 3.0.0"
- },
- "engines": {
- "node": ">=0.10.0"
- }
- },
- "node_modules/ieee754": {
- "version": "1.2.1",
- "resolved": "https://registry.npmjs.org/ieee754/-/ieee754-1.2.1.tgz",
- "integrity": "sha512-dcyqhDvX1C46lXZcVqCpK+FtMRQVdIMN6/Df5js2zouUsqG7I6sFxitIC+7KYK29KdXOLHdu9zL4sFnoVQnqaA==",
- "funding": [
- {
- "type": "github",
- "url": "https://github.com/sponsors/feross"
- },
- {
- "type": "patreon",
- "url": "https://www.patreon.com/feross"
- },
- {
- "type": "consulting",
- "url": "https://feross.org/support"
- }
- ]
- },
- "node_modules/ignore": {
- "version": "5.3.1",
- "resolved": "https://registry.npmjs.org/ignore/-/ignore-5.3.1.tgz",
- "integrity": "sha512-5Fytz/IraMjqpwfd34ke28PTVMjZjJG2MPn5t7OE4eUCUNf8BAa7b5WUS9/Qvr6mwOQS7Mk6vdsMno5he+T8Xw==",
- "dev": true,
- "engines": {
- "node": ">= 4"
- }
- },
- "node_modules/import-fresh": {
- "version": "3.3.0",
- "resolved": "https://registry.npmjs.org/import-fresh/-/import-fresh-3.3.0.tgz",
- "integrity": "sha512-veYYhQa+D1QBKznvhUHxb8faxlrwUnxseDAbAp457E0wLNio2bOSKnjYDhMj+YiAq61xrMGhQk9iXVk5FzgQMw==",
- "dependencies": {
- "parent-module": "^1.0.0",
- "resolve-from": "^4.0.0"
- },
- "engines": {
- "node": ">=6"
- },
- "funding": {
- "url": "https://github.com/sponsors/sindresorhus"
- }
- },
- "node_modules/imurmurhash": {
- "version": "0.1.4",
- "resolved": "https://registry.npmjs.org/imurmurhash/-/imurmurhash-0.1.4.tgz",
- "integrity": "sha512-JmXMZ6wuvDmLiHEml9ykzqO6lwFbof0GG4IkcGaENdCRDDmMVnny7s5HsIgHCbaq0w2MyPhDqkhTUgS2LU2PHA==",
- "dev": true,
- "engines": {
- "node": ">=0.8.19"
- }
- },
- "node_modules/indent-string": {
- "version": "4.0.0",
- "resolved": "https://registry.npmjs.org/indent-string/-/indent-string-4.0.0.tgz",
- "integrity": "sha512-EdDDZu4A2OyIK7Lr/2zG+w5jmbuk1DVBnEwREQvBzspBJkCEbRa8GxU1lghYcaGJCnRWibjDXlq779X1/y5xwg==",
- "dev": true,
- "engines": {
- "node": ">=8"
- }
- },
- "node_modules/inflight": {
- "version": "1.0.6",
- "resolved": "https://registry.npmjs.org/inflight/-/inflight-1.0.6.tgz",
- "integrity": "sha512-k92I/b08q4wvFscXCLvqfsHCrjrF7yiXsQuIVvVE7N82W3+aqpzuUdBbfhWcy/FZR3/4IgflMgKLOsvPDrGCJA==",
- "devOptional": true,
- "dependencies": {
- "once": "^1.3.0",
- "wrappy": "1"
- }
- },
- "node_modules/inherits": {
- "version": "2.0.4",
- "resolved": "https://registry.npmjs.org/inherits/-/inherits-2.0.4.tgz",
- "integrity": "sha512-k/vGaX4/Yla3WzyMCvTQOXYeIHvqOKtnqBduzTHpzpQZzAskKMhZ2K+EnBiSM9zGSoIFeMpXKxa4dYeZIQqewQ=="
- },
- "node_modules/inline-style-parser": {
- "version": "0.1.1",
- "resolved": "https://registry.npmjs.org/inline-style-parser/-/inline-style-parser-0.1.1.tgz",
- "integrity": "sha512-7NXolsK4CAS5+xvdj5OMMbI962hU/wvwoxk+LWR9Ek9bVtyuuYScDN6eS0rUm6TxApFpw7CX1o4uJzcd4AyD3Q=="
- },
- "node_modules/internal-slot": {
- "version": "1.0.7",
- "resolved": "https://registry.npmjs.org/internal-slot/-/internal-slot-1.0.7.tgz",
- "integrity": "sha512-NGnrKwXzSms2qUUih/ILZ5JBqNTSa1+ZmP6flaIp6KmSElgE9qdndzS3cqjrDovwFdmwsGsLdeFgB6suw+1e9g==",
- "dev": true,
- "dependencies": {
- "es-errors": "^1.3.0",
- "hasown": "^2.0.0",
- "side-channel": "^1.0.4"
- },
- "engines": {
- "node": ">= 0.4"
- }
- },
- "node_modules/invariant": {
- "version": "2.2.4",
- "resolved": "https://registry.npmjs.org/invariant/-/invariant-2.2.4.tgz",
- "integrity": "sha512-phJfQVBuaJM5raOpJjSfkiD6BpbCE4Ns//LaXl6wGYtUBY83nWS6Rf9tXm2e8VaK60JEjYldbPif/A2B1C2gNA==",
- "dependencies": {
- "loose-envify": "^1.0.0"
- }
- },
- "node_modules/is-alphabetical": {
- "version": "1.0.4",
- "resolved": "https://registry.npmjs.org/is-alphabetical/-/is-alphabetical-1.0.4.tgz",
- "integrity": "sha512-DwzsA04LQ10FHTZuL0/grVDk4rFoVH1pjAToYwBrHSxcrBIGQuXrQMtD5U1b0U2XVgKZCTLLP8u2Qxqhy3l2Vg==",
- "funding": {
- "type": "github",
- "url": "https://github.com/sponsors/wooorm"
- }
- },
- "node_modules/is-alphanumerical": {
- "version": "1.0.4",
- "resolved": "https://registry.npmjs.org/is-alphanumerical/-/is-alphanumerical-1.0.4.tgz",
- "integrity": "sha512-UzoZUr+XfVz3t3v4KyGEniVL9BDRoQtY7tOyrRybkVNjDFWyo1yhXNGrrBTQxp3ib9BLAWs7k2YKBQsFRkZG9A==",
- "dependencies": {
- "is-alphabetical": "^1.0.0",
- "is-decimal": "^1.0.0"
- },
- "funding": {
- "type": "github",
- "url": "https://github.com/sponsors/wooorm"
- }
- },
- "node_modules/is-arguments": {
- "version": "1.1.1",
- "resolved": "https://registry.npmjs.org/is-arguments/-/is-arguments-1.1.1.tgz",
- "integrity": "sha512-8Q7EARjzEnKpt/PCD7e1cgUS0a6X8u5tdSiMqXhojOdoV9TsMsiO+9VLC5vAmO8N7/GmXn7yjR8qnA6bVAEzfA==",
- "dev": true,
- "dependencies": {
- "call-bind": "^1.0.2",
- "has-tostringtag": "^1.0.0"
- },
- "engines": {
- "node": ">= 0.4"
- },
- "funding": {
- "url": "https://github.com/sponsors/ljharb"
- }
- },
- "node_modules/is-array-buffer": {
- "version": "3.0.4",
- "resolved": "https://registry.npmjs.org/is-array-buffer/-/is-array-buffer-3.0.4.tgz",
- "integrity": "sha512-wcjaerHw0ydZwfhiKbXJWLDY8A7yV7KhjQOpb83hGgGfId/aQa4TOvwyzn2PuswW2gPCYEL/nEAiSVpdOj1lXw==",
- "dev": true,
- "dependencies": {
- "call-bind": "^1.0.2",
- "get-intrinsic": "^1.2.1"
- },
- "engines": {
- "node": ">= 0.4"
- },
- "funding": {
- "url": "https://github.com/sponsors/ljharb"
- }
- },
- "node_modules/is-arrayish": {
- "version": "0.2.1",
- "resolved": "https://registry.npmjs.org/is-arrayish/-/is-arrayish-0.2.1.tgz",
- "integrity": "sha512-zz06S8t0ozoDXMG+ube26zeCTNXcKIPJZJi8hBrF4idCLms4CG9QtK7qBl1boi5ODzFpjswb5JPmHCbMpjaYzg=="
- },
- "node_modules/is-bigint": {
- "version": "1.0.4",
- "resolved": "https://registry.npmjs.org/is-bigint/-/is-bigint-1.0.4.tgz",
- "integrity": "sha512-zB9CruMamjym81i2JZ3UMn54PKGsQzsJeo6xvN3HJJ4CAsQNB6iRutp2To77OfCNuoxspsIhzaPoO1zyCEhFOg==",
- "dev": true,
- "dependencies": {
- "has-bigints": "^1.0.1"
- },
- "funding": {
- "url": "https://github.com/sponsors/ljharb"
- }
- },
- "node_modules/is-binary-path": {
- "version": "2.1.0",
- "resolved": "https://registry.npmjs.org/is-binary-path/-/is-binary-path-2.1.0.tgz",
- "integrity": "sha512-ZMERYes6pDydyuGidse7OsHxtbI7WVeUEozgR/g7rd0xUimYNlvZRE/K2MgZTjWy725IfelLeVcEM97mmtRGXw==",
- "dependencies": {
- "binary-extensions": "^2.0.0"
- },
- "engines": {
- "node": ">=8"
- }
- },
- "node_modules/is-boolean-object": {
- "version": "1.1.2",
- "resolved": "https://registry.npmjs.org/is-boolean-object/-/is-boolean-object-1.1.2.tgz",
- "integrity": "sha512-gDYaKHJmnj4aWxyj6YHyXVpdQawtVLHU5cb+eztPGczf6cjuTdwve5ZIEfgXqH4e57An1D1AKf8CZ3kYrQRqYA==",
- "dev": true,
- "dependencies": {
- "call-bind": "^1.0.2",
- "has-tostringtag": "^1.0.0"
- },
- "engines": {
- "node": ">= 0.4"
- },
- "funding": {
- "url": "https://github.com/sponsors/ljharb"
- }
- },
- "node_modules/is-buffer": {
- "version": "2.0.5",
- "resolved": "https://registry.npmjs.org/is-buffer/-/is-buffer-2.0.5.tgz",
- "integrity": "sha512-i2R6zNFDwgEHJyQUtJEk0XFi1i0dPFn/oqjK3/vPCcDeJvW5NQ83V8QbicfF1SupOaB0h8ntgBC2YiE7dfyctQ==",
- "funding": [
- {
- "type": "github",
- "url": "https://github.com/sponsors/feross"
- },
- {
- "type": "patreon",
- "url": "https://www.patreon.com/feross"
- },
- {
- "type": "consulting",
- "url": "https://feross.org/support"
- }
- ],
- "engines": {
- "node": ">=4"
- }
- },
- "node_modules/is-callable": {
- "version": "1.2.7",
- "resolved": "https://registry.npmjs.org/is-callable/-/is-callable-1.2.7.tgz",
- "integrity": "sha512-1BC0BVFhS/p0qtw6enp8e+8OD0UrK0oFLztSjNzhcKA3WDuJxxAPXzPuPtKkjEY9UUoEWlX/8fgKeu2S8i9JTA==",
- "dev": true,
- "engines": {
- "node": ">= 0.4"
- },
- "funding": {
- "url": "https://github.com/sponsors/ljharb"
- }
- },
- "node_modules/is-core-module": {
- "version": "2.13.1",
- "resolved": "https://registry.npmjs.org/is-core-module/-/is-core-module-2.13.1.tgz",
- "integrity": "sha512-hHrIjvZsftOsvKSn2TRYl63zvxsgE0K+0mYMoH6gD4omR5IWB2KynivBQczo3+wF1cCkjzvptnI9Q0sPU66ilw==",
- "dependencies": {
- "hasown": "^2.0.0"
- },
- "funding": {
- "url": "https://github.com/sponsors/ljharb"
- }
- },
- "node_modules/is-date-object": {
- "version": "1.0.5",
- "resolved": "https://registry.npmjs.org/is-date-object/-/is-date-object-1.0.5.tgz",
- "integrity": "sha512-9YQaSxsAiSwcvS33MBk3wTCVnWK+HhF8VZR2jRxehM16QcVOdHqPn4VPHmRK4lSr38n9JriurInLcP90xsYNfQ==",
- "dev": true,
- "dependencies": {
- "has-tostringtag": "^1.0.0"
- },
- "engines": {
- "node": ">= 0.4"
- },
- "funding": {
- "url": "https://github.com/sponsors/ljharb"
- }
- },
- "node_modules/is-decimal": {
- "version": "1.0.4",
- "resolved": "https://registry.npmjs.org/is-decimal/-/is-decimal-1.0.4.tgz",
- "integrity": "sha512-RGdriMmQQvZ2aqaQq3awNA6dCGtKpiDFcOzrTWrDAT2MiWrKQVPmxLGHl7Y2nNu6led0kEyoX0enY0qXYsv9zw==",
- "funding": {
- "type": "github",
- "url": "https://github.com/sponsors/wooorm"
- }
- },
- "node_modules/is-extglob": {
- "version": "2.1.1",
- "resolved": "https://registry.npmjs.org/is-extglob/-/is-extglob-2.1.1.tgz",
- "integrity": "sha512-SbKbANkN603Vi4jEZv49LeVJMn4yGwsbzZworEoyEiutsN3nJYdbO36zfhGJ6QEDpOZIFkDtnq5JRxmvl3jsoQ==",
- "engines": {
- "node": ">=0.10.0"
- }
- },
- "node_modules/is-fullwidth-code-point": {
- "version": "3.0.0",
- "resolved": "https://registry.npmjs.org/is-fullwidth-code-point/-/is-fullwidth-code-point-3.0.0.tgz",
- "integrity": "sha512-zymm5+u+sCsSWyD9qNaejV3DFvhCKclKdizYaJUuHA83RLjb7nSuGnddCHGv0hk+KY7BMAlsWeK4Ueg6EV6XQg==",
- "engines": {
- "node": ">=8"
- }
- },
- "node_modules/is-glob": {
- "version": "4.0.3",
- "resolved": "https://registry.npmjs.org/is-glob/-/is-glob-4.0.3.tgz",
- "integrity": "sha512-xelSayHH36ZgE7ZWhli7pW34hNbNl8Ojv5KVmkJD4hBdD3th8Tfk9vYasLM+mXWOZhFkgZfxhLSnrwRr4elSSg==",
- "dependencies": {
- "is-extglob": "^2.1.1"
- },
- "engines": {
- "node": ">=0.10.0"
- }
- },
- "node_modules/is-hexadecimal": {
- "version": "1.0.4",
- "resolved": "https://registry.npmjs.org/is-hexadecimal/-/is-hexadecimal-1.0.4.tgz",
- "integrity": "sha512-gyPJuv83bHMpocVYoqof5VDiZveEoGoFL8m3BXNb2VW8Xs+rz9kqO8LOQ5DH6EsuvilT1ApazU0pyl+ytbPtlw==",
- "funding": {
- "type": "github",
- "url": "https://github.com/sponsors/wooorm"
- }
- },
- "node_modules/is-interactive": {
- "version": "2.0.0",
- "resolved": "https://registry.npmjs.org/is-interactive/-/is-interactive-2.0.0.tgz",
- "integrity": "sha512-qP1vozQRI+BMOPcjFzrjXuQvdak2pHNUMZoeG2eRbiSqyvbEf/wQtEOTOX1guk6E3t36RkaqiSt8A/6YElNxLQ==",
- "engines": {
- "node": ">=12"
- },
- "funding": {
- "url": "https://github.com/sponsors/sindresorhus"
- }
- },
- "node_modules/is-map": {
- "version": "2.0.3",
- "resolved": "https://registry.npmjs.org/is-map/-/is-map-2.0.3.tgz",
- "integrity": "sha512-1Qed0/Hr2m+YqxnM09CjA2d/i6YZNfF6R2oRAOj36eUdS6qIV/huPJNSEpKbupewFs+ZsJlxsjjPbc0/afW6Lw==",
- "dev": true,
- "engines": {
- "node": ">= 0.4"
- },
- "funding": {
- "url": "https://github.com/sponsors/ljharb"
- }
- },
- "node_modules/is-number": {
- "version": "7.0.0",
- "resolved": "https://registry.npmjs.org/is-number/-/is-number-7.0.0.tgz",
- "integrity": "sha512-41Cifkg6e8TylSpdtTpeLVMqvSBEVzTttHvERD741+pnZ8ANv0004MRL43QKPDlK9cGvNp6NZWZUBlbGXYxxng==",
- "engines": {
- "node": ">=0.12.0"
- }
- },
- "node_modules/is-number-object": {
- "version": "1.0.7",
- "resolved": "https://registry.npmjs.org/is-number-object/-/is-number-object-1.0.7.tgz",
- "integrity": "sha512-k1U0IRzLMo7ZlYIfzRu23Oh6MiIFasgpb9X76eqfFZAqwH44UI4KTBvBYIZ1dSL9ZzChTB9ShHfLkR4pdW5krQ==",
- "dev": true,
- "dependencies": {
- "has-tostringtag": "^1.0.0"
- },
- "engines": {
- "node": ">= 0.4"
- },
- "funding": {
- "url": "https://github.com/sponsors/ljharb"
- }
- },
- "node_modules/is-path-inside": {
- "version": "3.0.3",
- "resolved": "https://registry.npmjs.org/is-path-inside/-/is-path-inside-3.0.3.tgz",
- "integrity": "sha512-Fd4gABb+ycGAmKou8eMftCupSir5lRxqf4aD/vd0cD2qc4HL07OjCeuHMr8Ro4CoMaeCKDB0/ECBOVWjTwUvPQ==",
- "dev": true,
- "engines": {
- "node": ">=8"
- }
- },
- "node_modules/is-plain-obj": {
- "version": "1.1.0",
- "resolved": "https://registry.npmjs.org/is-plain-obj/-/is-plain-obj-1.1.0.tgz",
- "integrity": "sha512-yvkRyxmFKEOQ4pNXCmJG5AEQNlXJS5LaONXo5/cLdTZdWvsZ1ioJEonLGAosKlMWE8lwUy/bJzMjcw8az73+Fg==",
- "dev": true,
- "engines": {
- "node": ">=0.10.0"
- }
- },
- "node_modules/is-potential-custom-element-name": {
- "version": "1.0.1",
- "resolved": "https://registry.npmjs.org/is-potential-custom-element-name/-/is-potential-custom-element-name-1.0.1.tgz",
- "integrity": "sha512-bCYeRA2rVibKZd+s2625gGnGF/t7DSqDs4dP7CrLA1m7jKWz6pps0LpYLJN8Q64HtmPKJ1hrN3nzPNKFEKOUiQ=="
- },
- "node_modules/is-regex": {
- "version": "1.1.4",
- "resolved": "https://registry.npmjs.org/is-regex/-/is-regex-1.1.4.tgz",
- "integrity": "sha512-kvRdxDsxZjhzUX07ZnLydzS1TU/TJlTUHHY4YLL87e37oUA49DfkLqgy+VjFocowy29cKvcSiu+kIv728jTTVg==",
- "dev": true,
- "dependencies": {
- "call-bind": "^1.0.2",
- "has-tostringtag": "^1.0.0"
- },
- "engines": {
- "node": ">= 0.4"
- },
- "funding": {
- "url": "https://github.com/sponsors/ljharb"
- }
- },
- "node_modules/is-set": {
- "version": "2.0.3",
- "resolved": "https://registry.npmjs.org/is-set/-/is-set-2.0.3.tgz",
- "integrity": "sha512-iPAjerrse27/ygGLxw+EBR9agv9Y6uLeYVJMu+QNCoouJ1/1ri0mGrcWpfCqFZuzzx3WjtwxG098X+n4OuRkPg==",
- "dev": true,
- "engines": {
- "node": ">= 0.4"
- },
- "funding": {
- "url": "https://github.com/sponsors/ljharb"
- }
- },
- "node_modules/is-shared-array-buffer": {
- "version": "1.0.3",
- "resolved": "https://registry.npmjs.org/is-shared-array-buffer/-/is-shared-array-buffer-1.0.3.tgz",
- "integrity": "sha512-nA2hv5XIhLR3uVzDDfCIknerhx8XUKnstuOERPNNIinXG7v9u+ohXF67vxm4TPTEPU6lm61ZkwP3c9PCB97rhg==",
- "dev": true,
- "dependencies": {
- "call-bind": "^1.0.7"
- },
- "engines": {
- "node": ">= 0.4"
- },
- "funding": {
- "url": "https://github.com/sponsors/ljharb"
- }
- },
- "node_modules/is-stream": {
- "version": "1.1.0",
- "resolved": "https://registry.npmjs.org/is-stream/-/is-stream-1.1.0.tgz",
- "integrity": "sha512-uQPm8kcs47jx38atAcWTVxyltQYoPT68y9aWYdV6yWXSyW8mzSat0TL6CiWdZeCdF3KrAvpVtnHbTv4RN+rqdQ==",
- "dev": true,
- "engines": {
- "node": ">=0.10.0"
- }
- },
- "node_modules/is-string": {
- "version": "1.0.7",
- "resolved": "https://registry.npmjs.org/is-string/-/is-string-1.0.7.tgz",
- "integrity": "sha512-tE2UXzivje6ofPW7l23cjDOMa09gb7xlAqG6jG5ej6uPV32TlWP3NKPigtaGeHNu9fohccRYvIiZMfOOnOYUtg==",
- "dev": true,
- "dependencies": {
- "has-tostringtag": "^1.0.0"
- },
- "engines": {
- "node": ">= 0.4"
- },
- "funding": {
- "url": "https://github.com/sponsors/ljharb"
- }
- },
- "node_modules/is-symbol": {
- "version": "1.0.4",
- "resolved": "https://registry.npmjs.org/is-symbol/-/is-symbol-1.0.4.tgz",
- "integrity": "sha512-C/CPBqKWnvdcxqIARxyOh4v1UUEOCHpgDa0WYgpKDFMszcrPcffg5uhwSgPCLD2WWxmq6isisz87tzT01tuGhg==",
- "dev": true,
- "dependencies": {
- "has-symbols": "^1.0.2"
- },
- "engines": {
- "node": ">= 0.4"
- },
- "funding": {
- "url": "https://github.com/sponsors/ljharb"
- }
- },
- "node_modules/is-unicode-supported": {
- "version": "1.3.0",
- "resolved": "https://registry.npmjs.org/is-unicode-supported/-/is-unicode-supported-1.3.0.tgz",
- "integrity": "sha512-43r2mRvz+8JRIKnWJ+3j8JtjRKZ6GmjzfaE/qiBJnikNnYv/6bagRJ1kUhNk8R5EX/GkobD+r+sfxCPJsiKBLQ==",
- "engines": {
- "node": ">=12"
- },
- "funding": {
- "url": "https://github.com/sponsors/sindresorhus"
- }
- },
- "node_modules/is-weakmap": {
- "version": "2.0.2",
- "resolved": "https://registry.npmjs.org/is-weakmap/-/is-weakmap-2.0.2.tgz",
- "integrity": "sha512-K5pXYOm9wqY1RgjpL3YTkF39tni1XajUIkawTLUo9EZEVUFga5gSQJF8nNS7ZwJQ02y+1YCNYcMh+HIf1ZqE+w==",
- "dev": true,
- "engines": {
- "node": ">= 0.4"
- },
- "funding": {
- "url": "https://github.com/sponsors/ljharb"
- }
- },
- "node_modules/is-weakset": {
- "version": "2.0.3",
- "resolved": "https://registry.npmjs.org/is-weakset/-/is-weakset-2.0.3.tgz",
- "integrity": "sha512-LvIm3/KWzS9oRFHugab7d+M/GcBXuXX5xZkzPmN+NxihdQlZUQ4dWuSV1xR/sq6upL1TJEDrfBgRepHFdBtSNQ==",
- "dev": true,
- "dependencies": {
- "call-bind": "^1.0.7",
- "get-intrinsic": "^1.2.4"
- },
- "engines": {
- "node": ">= 0.4"
- },
- "funding": {
- "url": "https://github.com/sponsors/ljharb"
- }
- },
- "node_modules/isarray": {
- "version": "2.0.5",
- "resolved": "https://registry.npmjs.org/isarray/-/isarray-2.0.5.tgz",
- "integrity": "sha512-xHjhDr3cNBK0BzdUJSPXZntQUx/mwMS5Rw4A7lPJ90XGAO6ISP/ePDNuo0vhqOZU+UD5JoodwCAAoZQd3FeAKw==",
- "dev": true
- },
- "node_modules/isexe": {
- "version": "2.0.0",
- "resolved": "https://registry.npmjs.org/isexe/-/isexe-2.0.0.tgz",
- "integrity": "sha512-RHxMLp9lnKHGHRng9QFhRCMbYAcVpn69smSGcq3f36xjgVVWThj4qqLbTLlq7Ssj8B+fIQ1EuCEGI2lKsyQeIw=="
- },
- "node_modules/isomorphic-fetch": {
- "version": "3.0.0",
- "resolved": "https://registry.npmjs.org/isomorphic-fetch/-/isomorphic-fetch-3.0.0.tgz",
- "integrity": "sha512-qvUtwJ3j6qwsF3jLxkZ72qCgjMysPzDfeV240JHiGZsANBYd+EEuu35v7dfrJ9Up0Ak07D7GGSkGhCHTqg/5wA==",
- "dependencies": {
- "node-fetch": "^2.6.1",
- "whatwg-fetch": "^3.4.1"
- }
- },
- "node_modules/jackspeak": {
- "version": "3.1.2",
- "resolved": "https://registry.npmjs.org/jackspeak/-/jackspeak-3.1.2.tgz",
- "integrity": "sha512-kWmLKn2tRtfYMF/BakihVVRzBKOxz4gJMiL2Rj91WnAB5TPZumSH99R/Yf1qE1u4uRimvCSJfm6hnxohXeEXjQ==",
- "dependencies": {
- "@isaacs/cliui": "^8.0.2"
- },
- "engines": {
- "node": ">=14"
- },
- "funding": {
- "url": "https://github.com/sponsors/isaacs"
- },
- "optionalDependencies": {
- "@pkgjs/parseargs": "^0.11.0"
- }
- },
- "node_modules/jest-diff": {
- "version": "27.5.1",
- "resolved": "https://registry.npmjs.org/jest-diff/-/jest-diff-27.5.1.tgz",
- "integrity": "sha512-m0NvkX55LDt9T4mctTEgnZk3fmEg3NRYutvMPWM/0iPnkFj2wIeF45O1718cMSOFO1vINkqmxqD8vE37uTEbqw==",
- "dev": true,
- "dependencies": {
- "chalk": "^4.0.0",
- "diff-sequences": "^27.5.1",
- "jest-get-type": "^27.5.1",
- "pretty-format": "^27.5.1"
- },
- "engines": {
- "node": "^10.13.0 || ^12.13.0 || ^14.15.0 || >=15.0.0"
- }
- },
- "node_modules/jest-diff/node_modules/ansi-styles": {
- "version": "4.3.0",
- "resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-4.3.0.tgz",
- "integrity": "sha512-zbB9rCJAT1rbjiVDb2hqKFHNYLxgtk8NURxZ3IZwD3F6NtxbXZQCnnSi1Lkx+IDohdPlFp222wVALIheZJQSEg==",
- "dev": true,
- "dependencies": {
- "color-convert": "^2.0.1"
- },
- "engines": {
- "node": ">=8"
- },
- "funding": {
- "url": "https://github.com/chalk/ansi-styles?sponsor=1"
- }
- },
- "node_modules/jest-diff/node_modules/chalk": {
- "version": "4.1.2",
- "resolved": "https://registry.npmjs.org/chalk/-/chalk-4.1.2.tgz",
- "integrity": "sha512-oKnbhFyRIXpUuez8iBMmyEa4nbj4IOQyuhc/wy9kY7/WVPcwIO9VA668Pu8RkO7+0G76SLROeyw9CpQ061i4mA==",
- "dev": true,
- "dependencies": {
- "ansi-styles": "^4.1.0",
- "supports-color": "^7.1.0"
- },
- "engines": {
- "node": ">=10"
- },
- "funding": {
- "url": "https://github.com/chalk/chalk?sponsor=1"
- }
- },
- "node_modules/jest-diff/node_modules/color-convert": {
- "version": "2.0.1",
- "resolved": "https://registry.npmjs.org/color-convert/-/color-convert-2.0.1.tgz",
- "integrity": "sha512-RRECPsj7iu/xb5oKYcsFHSppFNnsj/52OVTRKb4zP5onXwVF3zVmmToNcOfGC+CRDpfK/U584fMg38ZHCaElKQ==",
- "dev": true,
- "dependencies": {
- "color-name": "~1.1.4"
- },
- "engines": {
- "node": ">=7.0.0"
- }
- },
- "node_modules/jest-diff/node_modules/color-name": {
- "version": "1.1.4",
- "resolved": "https://registry.npmjs.org/color-name/-/color-name-1.1.4.tgz",
- "integrity": "sha512-dOy+3AuW3a2wNbZHIuMZpTcgjGuLU/uBL/ubcZF9OXbDo8ff4O8yVp5Bf0efS8uEoYo5q4Fx7dY9OgQGXgAsQA==",
- "dev": true
- },
- "node_modules/jest-diff/node_modules/has-flag": {
- "version": "4.0.0",
- "resolved": "https://registry.npmjs.org/has-flag/-/has-flag-4.0.0.tgz",
- "integrity": "sha512-EykJT/Q1KjTWctppgIAgfSO0tKVuZUjhgMr17kqTumMl6Afv3EISleU7qZUzoXDFTAHTDC4NOoG/ZxU3EvlMPQ==",
- "dev": true,
- "engines": {
- "node": ">=8"
- }
- },
- "node_modules/jest-diff/node_modules/supports-color": {
- "version": "7.2.0",
- "resolved": "https://registry.npmjs.org/supports-color/-/supports-color-7.2.0.tgz",
- "integrity": "sha512-qpCAvRl9stuOHveKsn7HncJRvv501qIacKzQlO/+Lwxc9+0q2wLyv4Dfvt80/DPn2pqOBsJdDiogXGR9+OvwRw==",
- "dev": true,
- "dependencies": {
- "has-flag": "^4.0.0"
- },
- "engines": {
- "node": ">=8"
- }
- },
- "node_modules/jest-get-type": {
- "version": "27.5.1",
- "resolved": "https://registry.npmjs.org/jest-get-type/-/jest-get-type-27.5.1.tgz",
- "integrity": "sha512-2KY95ksYSaK7DMBWQn6dQz3kqAf3BB64y2udeG+hv4KfSOb9qwcYQstTJc1KCbsix+wLZWZYN8t7nwX3GOBLRw==",
- "dev": true,
- "engines": {
- "node": "^10.13.0 || ^12.13.0 || ^14.15.0 || >=15.0.0"
- }
- },
- "node_modules/jest-matcher-utils": {
- "version": "27.5.1",
- "resolved": "https://registry.npmjs.org/jest-matcher-utils/-/jest-matcher-utils-27.5.1.tgz",
- "integrity": "sha512-z2uTx/T6LBaCoNWNFWwChLBKYxTMcGBRjAt+2SbP929/Fflb9aa5LGma654Rz8z9HLxsrUaYzxE9T/EFIL/PAw==",
- "dev": true,
- "dependencies": {
- "chalk": "^4.0.0",
- "jest-diff": "^27.5.1",
- "jest-get-type": "^27.5.1",
- "pretty-format": "^27.5.1"
- },
- "engines": {
- "node": "^10.13.0 || ^12.13.0 || ^14.15.0 || >=15.0.0"
- }
- },
- "node_modules/jest-matcher-utils/node_modules/ansi-styles": {
- "version": "4.3.0",
- "resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-4.3.0.tgz",
- "integrity": "sha512-zbB9rCJAT1rbjiVDb2hqKFHNYLxgtk8NURxZ3IZwD3F6NtxbXZQCnnSi1Lkx+IDohdPlFp222wVALIheZJQSEg==",
- "dev": true,
- "dependencies": {
- "color-convert": "^2.0.1"
- },
- "engines": {
- "node": ">=8"
- },
- "funding": {
- "url": "https://github.com/chalk/ansi-styles?sponsor=1"
- }
- },
- "node_modules/jest-matcher-utils/node_modules/chalk": {
- "version": "4.1.2",
- "resolved": "https://registry.npmjs.org/chalk/-/chalk-4.1.2.tgz",
- "integrity": "sha512-oKnbhFyRIXpUuez8iBMmyEa4nbj4IOQyuhc/wy9kY7/WVPcwIO9VA668Pu8RkO7+0G76SLROeyw9CpQ061i4mA==",
- "dev": true,
- "dependencies": {
- "ansi-styles": "^4.1.0",
- "supports-color": "^7.1.0"
- },
- "engines": {
- "node": ">=10"
- },
- "funding": {
- "url": "https://github.com/chalk/chalk?sponsor=1"
- }
- },
- "node_modules/jest-matcher-utils/node_modules/color-convert": {
- "version": "2.0.1",
- "resolved": "https://registry.npmjs.org/color-convert/-/color-convert-2.0.1.tgz",
- "integrity": "sha512-RRECPsj7iu/xb5oKYcsFHSppFNnsj/52OVTRKb4zP5onXwVF3zVmmToNcOfGC+CRDpfK/U584fMg38ZHCaElKQ==",
- "dev": true,
- "dependencies": {
- "color-name": "~1.1.4"
- },
- "engines": {
- "node": ">=7.0.0"
- }
- },
- "node_modules/jest-matcher-utils/node_modules/color-name": {
- "version": "1.1.4",
- "resolved": "https://registry.npmjs.org/color-name/-/color-name-1.1.4.tgz",
- "integrity": "sha512-dOy+3AuW3a2wNbZHIuMZpTcgjGuLU/uBL/ubcZF9OXbDo8ff4O8yVp5Bf0efS8uEoYo5q4Fx7dY9OgQGXgAsQA==",
- "dev": true
- },
- "node_modules/jest-matcher-utils/node_modules/has-flag": {
- "version": "4.0.0",
- "resolved": "https://registry.npmjs.org/has-flag/-/has-flag-4.0.0.tgz",
- "integrity": "sha512-EykJT/Q1KjTWctppgIAgfSO0tKVuZUjhgMr17kqTumMl6Afv3EISleU7qZUzoXDFTAHTDC4NOoG/ZxU3EvlMPQ==",
- "dev": true,
- "engines": {
- "node": ">=8"
- }
- },
- "node_modules/jest-matcher-utils/node_modules/supports-color": {
- "version": "7.2.0",
- "resolved": "https://registry.npmjs.org/supports-color/-/supports-color-7.2.0.tgz",
- "integrity": "sha512-qpCAvRl9stuOHveKsn7HncJRvv501qIacKzQlO/+Lwxc9+0q2wLyv4Dfvt80/DPn2pqOBsJdDiogXGR9+OvwRw==",
- "dev": true,
- "dependencies": {
- "has-flag": "^4.0.0"
- },
- "engines": {
- "node": ">=8"
- }
- },
- "node_modules/jiti": {
- "version": "1.21.0",
- "resolved": "https://registry.npmjs.org/jiti/-/jiti-1.21.0.tgz",
- "integrity": "sha512-gFqAIbuKyyso/3G2qhiO2OM6shY6EPP/R0+mkDbyspxKazh8BXDC5FiFsUjlczgdNz/vfra0da2y+aHrusLG/Q==",
- "bin": {
- "jiti": "bin/jiti.js"
- }
- },
- "node_modules/js-tokens": {
- "version": "4.0.0",
- "resolved": "https://registry.npmjs.org/js-tokens/-/js-tokens-4.0.0.tgz",
- "integrity": "sha512-RdJUflcE3cUzKiMqQgsCu06FPu9UdIJO0beYbPhHN4k6apgJtifcoCtT9bcxOpYBtpD2kCM6Sbzg4CausW/PKQ=="
- },
- "node_modules/js-yaml": {
- "version": "4.1.0",
- "resolved": "https://registry.npmjs.org/js-yaml/-/js-yaml-4.1.0.tgz",
- "integrity": "sha512-wpxZs9NoxZaJESJGIZTyDEaYpl0FKSA+FB9aJiyemKhMwkxQg63h4T1KJgUGHpTqPDNRcmmYLugrRjJlBtWvRA==",
- "dependencies": {
- "argparse": "^2.0.1"
- },
- "bin": {
- "js-yaml": "bin/js-yaml.js"
- }
- },
- "node_modules/jsdom": {
- "version": "20.0.3",
- "resolved": "https://registry.npmjs.org/jsdom/-/jsdom-20.0.3.tgz",
- "integrity": "sha512-SYhBvTh89tTfCD/CRdSOm13mOBa42iTaTyfyEWBdKcGdPxPtLFBXuHR8XHb33YNYaP+lLbmSvBTsnoesCNJEsQ==",
- "dependencies": {
- "abab": "^2.0.6",
- "acorn": "^8.8.1",
- "acorn-globals": "^7.0.0",
- "cssom": "^0.5.0",
- "cssstyle": "^2.3.0",
- "data-urls": "^3.0.2",
- "decimal.js": "^10.4.2",
- "domexception": "^4.0.0",
- "escodegen": "^2.0.0",
- "form-data": "^4.0.0",
- "html-encoding-sniffer": "^3.0.0",
- "http-proxy-agent": "^5.0.0",
- "https-proxy-agent": "^5.0.1",
- "is-potential-custom-element-name": "^1.0.1",
- "nwsapi": "^2.2.2",
- "parse5": "^7.1.1",
- "saxes": "^6.0.0",
- "symbol-tree": "^3.2.4",
- "tough-cookie": "^4.1.2",
- "w3c-xmlserializer": "^4.0.0",
- "webidl-conversions": "^7.0.0",
- "whatwg-encoding": "^2.0.0",
- "whatwg-mimetype": "^3.0.0",
- "whatwg-url": "^11.0.0",
- "ws": "^8.11.0",
- "xml-name-validator": "^4.0.0"
- },
- "engines": {
- "node": ">=14"
- },
- "peerDependencies": {
- "canvas": "^2.5.0"
- },
- "peerDependenciesMeta": {
- "canvas": {
- "optional": true
- }
- }
- },
- "node_modules/jsdom/node_modules/tr46": {
- "version": "3.0.0",
- "resolved": "https://registry.npmjs.org/tr46/-/tr46-3.0.0.tgz",
- "integrity": "sha512-l7FvfAHlcmulp8kr+flpQZmVwtu7nfRV7NZujtN0OqES8EL4O4e0qqzL0DC5gAvx/ZC/9lk6rhcUwYvkBnBnYA==",
- "dependencies": {
- "punycode": "^2.1.1"
- },
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/jsdom/node_modules/whatwg-url": {
- "version": "11.0.0",
- "resolved": "https://registry.npmjs.org/whatwg-url/-/whatwg-url-11.0.0.tgz",
- "integrity": "sha512-RKT8HExMpoYx4igMiVMY83lN6UeITKJlBQ+vR/8ZJ8OCdSiN3RwCq+9gH0+Xzj0+5IrM6i4j/6LuvzbZIQgEcQ==",
- "dependencies": {
- "tr46": "^3.0.0",
- "webidl-conversions": "^7.0.0"
- },
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/jsesc": {
- "version": "2.5.2",
- "resolved": "https://registry.npmjs.org/jsesc/-/jsesc-2.5.2.tgz",
- "integrity": "sha512-OYu7XEzjkCQ3C5Ps3QIZsQfNpqoJyZZA99wd9aWd05NCtC5pWOkShK2mkL6HXQR6/Cy2lbNdPlZBpuQHXE63gA==",
- "bin": {
- "jsesc": "bin/jsesc"
- },
- "engines": {
- "node": ">=4"
- }
- },
- "node_modules/json-buffer": {
- "version": "3.0.1",
- "resolved": "https://registry.npmjs.org/json-buffer/-/json-buffer-3.0.1.tgz",
- "integrity": "sha512-4bV5BfR2mqfQTJm+V5tPPdf+ZpuhiIvTuAB5g8kcrXOZpTT/QwwVRWBywX1ozr6lEuPdbHxwaJlm9G6mI2sfSQ==",
- "dev": true
- },
- "node_modules/json-parse-even-better-errors": {
- "version": "2.3.1",
- "resolved": "https://registry.npmjs.org/json-parse-even-better-errors/-/json-parse-even-better-errors-2.3.1.tgz",
- "integrity": "sha512-xyFwyhro/JEof6Ghe2iz2NcXoj2sloNsWr/XsERDK/oiPCfaNhl5ONfp+jQdAZRQQ0IJWNzH9zIZF7li91kh2w=="
- },
- "node_modules/json-schema-traverse": {
- "version": "0.4.1",
- "resolved": "https://registry.npmjs.org/json-schema-traverse/-/json-schema-traverse-0.4.1.tgz",
- "integrity": "sha512-xbbCH5dCYU5T8LcEhhuh7HJ88HXuW3qsI3Y0zOZFKfZEHcpWiHU/Jxzk629Brsab/mMiHQti9wMP+845RPe3Vg==",
- "dev": true
- },
- "node_modules/json-stable-stringify-without-jsonify": {
- "version": "1.0.1",
- "resolved": "https://registry.npmjs.org/json-stable-stringify-without-jsonify/-/json-stable-stringify-without-jsonify-1.0.1.tgz",
- "integrity": "sha512-Bdboy+l7tA3OGW6FjyFHWkP5LuByj1Tk33Ljyq0axyzdk9//JSi2u3fP1QSmd1KNwq6VOKYGlAu87CisVir6Pw==",
- "dev": true
- },
- "node_modules/json5": {
- "version": "2.2.3",
- "resolved": "https://registry.npmjs.org/json5/-/json5-2.2.3.tgz",
- "integrity": "sha512-XmOWe7eyHYH14cLdVPoyg+GOH3rYX++KpzrylJwSW98t3Nk+U8XOl8FWKOgwtzdb8lXGf6zYwDUzeHMWfxasyg==",
- "bin": {
- "json5": "lib/cli.js"
- },
- "engines": {
- "node": ">=6"
- }
- },
- "node_modules/jsonfile": {
- "version": "6.1.0",
- "resolved": "https://registry.npmjs.org/jsonfile/-/jsonfile-6.1.0.tgz",
- "integrity": "sha512-5dgndWOriYSm5cnYaJNhalLNDKOqFwyDB/rr1E9ZsGciGvKPs8R2xYGCacuf3z6K1YKDz182fd+fY3cn3pMqXQ==",
- "dependencies": {
- "universalify": "^2.0.0"
- },
- "optionalDependencies": {
- "graceful-fs": "^4.1.6"
- }
- },
- "node_modules/katex": {
- "version": "0.16.10",
- "resolved": "https://registry.npmjs.org/katex/-/katex-0.16.10.tgz",
- "integrity": "sha512-ZiqaC04tp2O5utMsl2TEZTXxa6WSC4yo0fv5ML++D3QZv/vx2Mct0mTlRx3O+uUkjfuAgOkzsCmq5MiUEsDDdA==",
- "funding": [
- "https://opencollective.com/katex",
- "https://github.com/sponsors/katex"
- ],
- "dependencies": {
- "commander": "^8.3.0"
- },
- "bin": {
- "katex": "cli.js"
- }
- },
- "node_modules/katex/node_modules/commander": {
- "version": "8.3.0",
- "resolved": "https://registry.npmjs.org/commander/-/commander-8.3.0.tgz",
- "integrity": "sha512-OkTL9umf+He2DZkUq8f8J9of7yL6RJKI24dVITBmNfZBmri9zYZQrKkuXiKhyfPSu8tUhnVBB1iKXevvnlR4Ww==",
- "engines": {
- "node": ">= 12"
- }
- },
- "node_modules/keyv": {
- "version": "4.5.4",
- "resolved": "https://registry.npmjs.org/keyv/-/keyv-4.5.4.tgz",
- "integrity": "sha512-oxVHkHR/EJf2CNXnWxRLW6mg7JyCCUcG0DtEGmL2ctUo1PNTin1PUil+r/+4r5MpVgC/fn1kjsx7mjSujKqIpw==",
- "dev": true,
- "dependencies": {
- "json-buffer": "3.0.1"
- }
- },
- "node_modules/kleur": {
- "version": "4.1.5",
- "resolved": "https://registry.npmjs.org/kleur/-/kleur-4.1.5.tgz",
- "integrity": "sha512-o+NO+8WrRiQEE4/7nwRJhN1HWpVmJm511pBHUxPLtp0BUISzlBplORYSmTclCnJvQq2tKu/sgl3xVpkc7ZWuQQ==",
- "engines": {
- "node": ">=6"
- }
- },
- "node_modules/levn": {
- "version": "0.4.1",
- "resolved": "https://registry.npmjs.org/levn/-/levn-0.4.1.tgz",
- "integrity": "sha512-+bT2uH4E5LGE7h/n3evcS/sQlJXCpIp6ym8OWJ5eV6+67Dsql/LaaT7qJBAt2rzfoa/5QBGBhxDix1dMt2kQKQ==",
- "dev": true,
- "dependencies": {
- "prelude-ls": "^1.2.1",
- "type-check": "~0.4.0"
- },
- "engines": {
- "node": ">= 0.8.0"
- }
- },
- "node_modules/lilconfig": {
- "version": "2.1.0",
- "resolved": "https://registry.npmjs.org/lilconfig/-/lilconfig-2.1.0.tgz",
- "integrity": "sha512-utWOt/GHzuUxnLKxB6dk81RoOeoNeHgbrXiuGk4yyF5qlRz+iIVWu56E2fqGHFrXz0QNUhLB/8nKqvRH66JKGQ==",
- "engines": {
- "node": ">=10"
- }
- },
- "node_modules/lines-and-columns": {
- "version": "1.2.4",
- "resolved": "https://registry.npmjs.org/lines-and-columns/-/lines-and-columns-1.2.4.tgz",
- "integrity": "sha512-7ylylesZQ/PV29jhEDl3Ufjo6ZX7gCqJr5F7PKrqc93v7fzSymt1BpwEU8nAUXs8qzzvqhbjhK5QZg6Mt/HkBg=="
- },
- "node_modules/locate-path": {
- "version": "6.0.0",
- "resolved": "https://registry.npmjs.org/locate-path/-/locate-path-6.0.0.tgz",
- "integrity": "sha512-iPZK6eYjbxRu3uB4/WZ3EsEIMJFMqAoopl3R+zuq0UjcAm/MO6KCweDgPfP3elTztoKP3KtnVHxTn2NHBSDVUw==",
- "dev": true,
- "dependencies": {
- "p-locate": "^5.0.0"
- },
- "engines": {
- "node": ">=10"
- },
- "funding": {
- "url": "https://github.com/sponsors/sindresorhus"
- }
- },
- "node_modules/lodash": {
- "version": "4.17.21",
- "resolved": "https://registry.npmjs.org/lodash/-/lodash-4.17.21.tgz",
- "integrity": "sha512-v2kDEe57lecTulaDIuNTPy3Ry4gLGJ6Z1O3vE1krgXZNrsQ+LFTGHVxVjcXPs17LhbZVGedAJv8XZ1tvj5FvSg=="
- },
- "node_modules/lodash.castarray": {
- "version": "4.4.0",
- "resolved": "https://registry.npmjs.org/lodash.castarray/-/lodash.castarray-4.4.0.tgz",
- "integrity": "sha512-aVx8ztPv7/2ULbArGJ2Y42bG1mEQ5mGjpdvrbJcJFU3TbYybe+QlLS4pst9zV52ymy2in1KpFPiZnAOATxD4+Q==",
- "dev": true
- },
- "node_modules/lodash.get": {
- "version": "4.4.2",
- "resolved": "https://registry.npmjs.org/lodash.get/-/lodash.get-4.4.2.tgz",
- "integrity": "sha512-z+Uw/vLuy6gQe8cfaFWD7p0wVv8fJl3mbzXh33RS+0oW2wvUqiRXiQ69gLWSLpgB5/6sU+r6BlQR0MBILadqTQ=="
- },
- "node_modules/lodash.isequal": {
- "version": "4.5.0",
- "resolved": "https://registry.npmjs.org/lodash.isequal/-/lodash.isequal-4.5.0.tgz",
- "integrity": "sha512-pDo3lu8Jhfjqls6GkMgpahsF9kCyayhgykjyLMNFTKWrpVdAQtYyB4muAMWozBB4ig/dtWAmsMxLEI8wuz+DYQ=="
- },
- "node_modules/lodash.isplainobject": {
- "version": "4.0.6",
- "resolved": "https://registry.npmjs.org/lodash.isplainobject/-/lodash.isplainobject-4.0.6.tgz",
- "integrity": "sha512-oSXzaWypCMHkPC3NvBEaPHf0KsA5mvPrOPgQWDsbg8n7orZ290M0BmC/jgRZ4vcJ6DTAhjrsSYgdsW/F+MFOBA==",
- "dev": true
- },
- "node_modules/lodash.merge": {
- "version": "4.6.2",
- "resolved": "https://registry.npmjs.org/lodash.merge/-/lodash.merge-4.6.2.tgz",
- "integrity": "sha512-0KpjqXRVvrYyCsX1swR/XTK0va6VQkQM6MNo7PqW77ByjAhoARA8EfrP1N4+KlKj8YS0ZUCtRT/YUuhyYDujIQ==",
- "dev": true
- },
- "node_modules/log-symbols": {
- "version": "5.1.0",
- "resolved": "https://registry.npmjs.org/log-symbols/-/log-symbols-5.1.0.tgz",
- "integrity": "sha512-l0x2DvrW294C9uDCoQe1VSU4gf529FkSZ6leBl4TiqZH/e+0R7hSfHQBNut2mNygDgHwvYHfFLn6Oxb3VWj2rA==",
- "dependencies": {
- "chalk": "^5.0.0",
- "is-unicode-supported": "^1.1.0"
- },
- "engines": {
- "node": ">=12"
- },
- "funding": {
- "url": "https://github.com/sponsors/sindresorhus"
- }
- },
- "node_modules/log-symbols/node_modules/chalk": {
- "version": "5.3.0",
- "resolved": "https://registry.npmjs.org/chalk/-/chalk-5.3.0.tgz",
- "integrity": "sha512-dLitG79d+GV1Nb/VYcCDFivJeK1hiukt9QjRNVOsUtTy1rR1YJsmpGGTZ3qJos+uw7WmWF4wUwBd9jxjocFC2w==",
- "engines": {
- "node": "^12.17.0 || ^14.13 || >=16.0.0"
- },
- "funding": {
- "url": "https://github.com/chalk/chalk?sponsor=1"
- }
- },
- "node_modules/longest-streak": {
- "version": "3.1.0",
- "resolved": "https://registry.npmjs.org/longest-streak/-/longest-streak-3.1.0.tgz",
- "integrity": "sha512-9Ri+o0JYgehTaVBBDoMqIl8GXtbWg711O3srftcHhZ0dqnETqLaoIK0x17fUw9rFSlK/0NlsKe0Ahhyl5pXE2g==",
- "funding": {
- "type": "github",
- "url": "https://github.com/sponsors/wooorm"
- }
- },
- "node_modules/loose-envify": {
- "version": "1.4.0",
- "resolved": "https://registry.npmjs.org/loose-envify/-/loose-envify-1.4.0.tgz",
- "integrity": "sha512-lyuxPGr/Wfhrlem2CL/UcnUc1zcqKAImBDzukY7Y5F/yQiNdko6+fRLevlw1HgMySw7f611UIY408EtxRSoK3Q==",
- "dependencies": {
- "js-tokens": "^3.0.0 || ^4.0.0"
- },
- "bin": {
- "loose-envify": "cli.js"
- }
- },
- "node_modules/lower-case": {
- "version": "2.0.2",
- "resolved": "https://registry.npmjs.org/lower-case/-/lower-case-2.0.2.tgz",
- "integrity": "sha512-7fm3l3NAF9WfN6W3JOmf5drwpVqX78JtoGJ3A6W0a6ZnldM41w2fV5D490psKFTpMds8TJse/eHLFFsNHHjHgg==",
- "dependencies": {
- "tslib": "^2.0.3"
- }
- },
- "node_modules/lowercase-keys": {
- "version": "2.0.0",
- "resolved": "https://registry.npmjs.org/lowercase-keys/-/lowercase-keys-2.0.0.tgz",
- "integrity": "sha512-tqNXrS78oMOE73NMxK4EMLQsQowWf8jKooH9g7xPavRT706R6bkQJ6DY2Te7QukaZsulxa30wQ7bk0pm4XiHmA==",
- "dev": true,
- "engines": {
- "node": ">=8"
- }
- },
- "node_modules/lowlight": {
- "version": "1.20.0",
- "resolved": "https://registry.npmjs.org/lowlight/-/lowlight-1.20.0.tgz",
- "integrity": "sha512-8Ktj+prEb1RoCPkEOrPMYUN/nCggB7qAWe3a7OpMjWQkh3l2RD5wKRQ+o8Q8YuI9RG/xs95waaI/E6ym/7NsTw==",
- "dependencies": {
- "fault": "^1.0.0",
- "highlight.js": "~10.7.0"
- },
- "funding": {
- "type": "github",
- "url": "https://github.com/sponsors/wooorm"
- }
- },
- "node_modules/lru-cache": {
- "version": "5.1.1",
- "resolved": "https://registry.npmjs.org/lru-cache/-/lru-cache-5.1.1.tgz",
- "integrity": "sha512-KpNARQA3Iwv+jTA0utUVVbrh+Jlrr1Fv0e56GGzAFOXN7dk/FviaDW8LHmK52DlcH4WP2n6gI8vN1aesBFgo9w==",
- "dependencies": {
- "yallist": "^3.0.2"
- }
- },
- "node_modules/lucide-react": {
- "version": "0.331.0",
- "resolved": "https://registry.npmjs.org/lucide-react/-/lucide-react-0.331.0.tgz",
- "integrity": "sha512-CHFJ0ve9vaZ7bB2VRAl27SlX1ELh6pfNC0jS96qGpPEEzLkLDGq4pDBFU8RhOoRMqsjXqTzLm9U6bZ1OcIHq7Q==",
- "peerDependencies": {
- "react": "^16.5.1 || ^17.0.0 || ^18.0.0"
- }
- },
- "node_modules/lz-string": {
- "version": "1.5.0",
- "resolved": "https://registry.npmjs.org/lz-string/-/lz-string-1.5.0.tgz",
- "integrity": "sha512-h5bgJWpxJNswbU7qCrV0tIKQCaS3blPDrqKWx+QxzuzL1zGUzij9XCWLrSLsJPu5t+eWA/ycetzYAO5IOMcWAQ==",
- "dev": true,
- "bin": {
- "lz-string": "bin/bin.js"
- }
- },
- "node_modules/make-cancellable-promise": {
- "version": "1.3.2",
- "resolved": "https://registry.npmjs.org/make-cancellable-promise/-/make-cancellable-promise-1.3.2.tgz",
- "integrity": "sha512-GCXh3bq/WuMbS+Ky4JBPW1hYTOU+znU+Q5m9Pu+pI8EoUqIHk9+tviOKC6/qhHh8C4/As3tzJ69IF32kdz85ww==",
- "funding": {
- "url": "https://github.com/wojtekmaj/make-cancellable-promise?sponsor=1"
- }
- },
- "node_modules/make-dir": {
- "version": "3.1.0",
- "resolved": "https://registry.npmjs.org/make-dir/-/make-dir-3.1.0.tgz",
- "integrity": "sha512-g3FeP20LNwhALb/6Cz6Dd4F2ngze0jz7tbzrD2wAV+o9FeNHe4rL+yK2md0J/fiSf1sa1ADhXqi5+oVwOM/eGw==",
- "optional": true,
- "dependencies": {
- "semver": "^6.0.0"
- },
- "engines": {
- "node": ">=8"
- },
- "funding": {
- "url": "https://github.com/sponsors/sindresorhus"
- }
- },
- "node_modules/make-event-props": {
- "version": "1.6.2",
- "resolved": "https://registry.npmjs.org/make-event-props/-/make-event-props-1.6.2.tgz",
- "integrity": "sha512-iDwf7mA03WPiR8QxvcVHmVWEPfMY1RZXerDVNCRYW7dUr2ppH3J58Rwb39/WG39yTZdRSxr3x+2v22tvI0VEvA==",
- "funding": {
- "url": "https://github.com/wojtekmaj/make-event-props?sponsor=1"
- }
- },
- "node_modules/markdown-table": {
- "version": "3.0.3",
- "resolved": "https://registry.npmjs.org/markdown-table/-/markdown-table-3.0.3.tgz",
- "integrity": "sha512-Z1NL3Tb1M9wH4XESsCDEksWoKTdlUafKc4pt0GRwjUyXaCFZ+dc3g2erqB6zm3szA2IUSi7VnPI+o/9jnxh9hw==",
- "funding": {
- "type": "github",
- "url": "https://github.com/sponsors/wooorm"
- }
- },
- "node_modules/mathjax-full": {
- "version": "3.2.2",
- "resolved": "https://registry.npmjs.org/mathjax-full/-/mathjax-full-3.2.2.tgz",
- "integrity": "sha512-+LfG9Fik+OuI8SLwsiR02IVdjcnRCy5MufYLi0C3TdMT56L/pjB0alMVGgoWJF8pN9Rc7FESycZB9BMNWIid5w==",
- "dependencies": {
- "esm": "^3.2.25",
- "mhchemparser": "^4.1.0",
- "mj-context-menu": "^0.6.1",
- "speech-rule-engine": "^4.0.6"
- }
- },
- "node_modules/mdast-util-definitions": {
- "version": "5.1.2",
- "resolved": "https://registry.npmjs.org/mdast-util-definitions/-/mdast-util-definitions-5.1.2.tgz",
- "integrity": "sha512-8SVPMuHqlPME/z3gqVwWY4zVXn8lqKv/pAhC57FuJ40ImXyBpmO5ukh98zB2v7Blql2FiHjHv9LVztSIqjY+MA==",
- "dependencies": {
- "@types/mdast": "^3.0.0",
- "@types/unist": "^2.0.0",
- "unist-util-visit": "^4.0.0"
- },
- "funding": {
- "type": "opencollective",
- "url": "https://opencollective.com/unified"
- }
- },
- "node_modules/mdast-util-find-and-replace": {
- "version": "2.2.2",
- "resolved": "https://registry.npmjs.org/mdast-util-find-and-replace/-/mdast-util-find-and-replace-2.2.2.tgz",
- "integrity": "sha512-MTtdFRz/eMDHXzeK6W3dO7mXUlF82Gom4y0oOgvHhh/HXZAGvIQDUvQ0SuUx+j2tv44b8xTHOm8K/9OoRFnXKw==",
- "dependencies": {
- "@types/mdast": "^3.0.0",
- "escape-string-regexp": "^5.0.0",
- "unist-util-is": "^5.0.0",
- "unist-util-visit-parents": "^5.0.0"
- },
- "funding": {
- "type": "opencollective",
- "url": "https://opencollective.com/unified"
- }
- },
- "node_modules/mdast-util-find-and-replace/node_modules/escape-string-regexp": {
- "version": "5.0.0",
- "resolved": "https://registry.npmjs.org/escape-string-regexp/-/escape-string-regexp-5.0.0.tgz",
- "integrity": "sha512-/veY75JbMK4j1yjvuUxuVsiS/hr/4iHs9FTT6cgTexxdE0Ly/glccBAkloH/DofkjRbZU3bnoj38mOmhkZ0lHw==",
- "engines": {
- "node": ">=12"
- },
- "funding": {
- "url": "https://github.com/sponsors/sindresorhus"
- }
- },
- "node_modules/mdast-util-from-markdown": {
- "version": "1.3.1",
- "resolved": "https://registry.npmjs.org/mdast-util-from-markdown/-/mdast-util-from-markdown-1.3.1.tgz",
- "integrity": "sha512-4xTO/M8c82qBcnQc1tgpNtubGUW/Y1tBQ1B0i5CtSoelOLKFYlElIr3bvgREYYO5iRqbMY1YuqZng0GVOI8Qww==",
- "dependencies": {
- "@types/mdast": "^3.0.0",
- "@types/unist": "^2.0.0",
- "decode-named-character-reference": "^1.0.0",
- "mdast-util-to-string": "^3.1.0",
- "micromark": "^3.0.0",
- "micromark-util-decode-numeric-character-reference": "^1.0.0",
- "micromark-util-decode-string": "^1.0.0",
- "micromark-util-normalize-identifier": "^1.0.0",
- "micromark-util-symbol": "^1.0.0",
- "micromark-util-types": "^1.0.0",
- "unist-util-stringify-position": "^3.0.0",
- "uvu": "^0.5.0"
- },
- "funding": {
- "type": "opencollective",
- "url": "https://opencollective.com/unified"
- }
- },
- "node_modules/mdast-util-gfm": {
- "version": "2.0.2",
- "resolved": "https://registry.npmjs.org/mdast-util-gfm/-/mdast-util-gfm-2.0.2.tgz",
- "integrity": "sha512-qvZ608nBppZ4icQlhQQIAdc6S3Ffj9RGmzwUKUWuEICFnd1LVkN3EktF7ZHAgfcEdvZB5owU9tQgt99e2TlLjg==",
- "dependencies": {
- "mdast-util-from-markdown": "^1.0.0",
- "mdast-util-gfm-autolink-literal": "^1.0.0",
- "mdast-util-gfm-footnote": "^1.0.0",
- "mdast-util-gfm-strikethrough": "^1.0.0",
- "mdast-util-gfm-table": "^1.0.0",
- "mdast-util-gfm-task-list-item": "^1.0.0",
- "mdast-util-to-markdown": "^1.0.0"
- },
- "funding": {
- "type": "opencollective",
- "url": "https://opencollective.com/unified"
- }
- },
- "node_modules/mdast-util-gfm-autolink-literal": {
- "version": "1.0.3",
- "resolved": "https://registry.npmjs.org/mdast-util-gfm-autolink-literal/-/mdast-util-gfm-autolink-literal-1.0.3.tgz",
- "integrity": "sha512-My8KJ57FYEy2W2LyNom4n3E7hKTuQk/0SES0u16tjA9Z3oFkF4RrC/hPAPgjlSpezsOvI8ObcXcElo92wn5IGA==",
- "dependencies": {
- "@types/mdast": "^3.0.0",
- "ccount": "^2.0.0",
- "mdast-util-find-and-replace": "^2.0.0",
- "micromark-util-character": "^1.0.0"
- },
- "funding": {
- "type": "opencollective",
- "url": "https://opencollective.com/unified"
- }
- },
- "node_modules/mdast-util-gfm-footnote": {
- "version": "1.0.2",
- "resolved": "https://registry.npmjs.org/mdast-util-gfm-footnote/-/mdast-util-gfm-footnote-1.0.2.tgz",
- "integrity": "sha512-56D19KOGbE00uKVj3sgIykpwKL179QsVFwx/DCW0u/0+URsryacI4MAdNJl0dh+u2PSsD9FtxPFbHCzJ78qJFQ==",
- "dependencies": {
- "@types/mdast": "^3.0.0",
- "mdast-util-to-markdown": "^1.3.0",
- "micromark-util-normalize-identifier": "^1.0.0"
- },
- "funding": {
- "type": "opencollective",
- "url": "https://opencollective.com/unified"
- }
- },
- "node_modules/mdast-util-gfm-strikethrough": {
- "version": "1.0.3",
- "resolved": "https://registry.npmjs.org/mdast-util-gfm-strikethrough/-/mdast-util-gfm-strikethrough-1.0.3.tgz",
- "integrity": "sha512-DAPhYzTYrRcXdMjUtUjKvW9z/FNAMTdU0ORyMcbmkwYNbKocDpdk+PX1L1dQgOID/+vVs1uBQ7ElrBQfZ0cuiQ==",
- "dependencies": {
- "@types/mdast": "^3.0.0",
- "mdast-util-to-markdown": "^1.3.0"
- },
- "funding": {
- "type": "opencollective",
- "url": "https://opencollective.com/unified"
- }
- },
- "node_modules/mdast-util-gfm-table": {
- "version": "1.0.7",
- "resolved": "https://registry.npmjs.org/mdast-util-gfm-table/-/mdast-util-gfm-table-1.0.7.tgz",
- "integrity": "sha512-jjcpmNnQvrmN5Vx7y7lEc2iIOEytYv7rTvu+MeyAsSHTASGCCRA79Igg2uKssgOs1i1po8s3plW0sTu1wkkLGg==",
- "dependencies": {
- "@types/mdast": "^3.0.0",
- "markdown-table": "^3.0.0",
- "mdast-util-from-markdown": "^1.0.0",
- "mdast-util-to-markdown": "^1.3.0"
- },
- "funding": {
- "type": "opencollective",
- "url": "https://opencollective.com/unified"
- }
- },
- "node_modules/mdast-util-gfm-task-list-item": {
- "version": "1.0.2",
- "resolved": "https://registry.npmjs.org/mdast-util-gfm-task-list-item/-/mdast-util-gfm-task-list-item-1.0.2.tgz",
- "integrity": "sha512-PFTA1gzfp1B1UaiJVyhJZA1rm0+Tzn690frc/L8vNX1Jop4STZgOE6bxUhnzdVSB+vm2GU1tIsuQcA9bxTQpMQ==",
- "dependencies": {
- "@types/mdast": "^3.0.0",
- "mdast-util-to-markdown": "^1.3.0"
- },
- "funding": {
- "type": "opencollective",
- "url": "https://opencollective.com/unified"
- }
- },
- "node_modules/mdast-util-math": {
- "version": "2.0.2",
- "resolved": "https://registry.npmjs.org/mdast-util-math/-/mdast-util-math-2.0.2.tgz",
- "integrity": "sha512-8gmkKVp9v6+Tgjtq6SYx9kGPpTf6FVYRa53/DLh479aldR9AyP48qeVOgNZ5X7QUK7nOy4yw7vg6mbiGcs9jWQ==",
- "dependencies": {
- "@types/mdast": "^3.0.0",
- "longest-streak": "^3.0.0",
- "mdast-util-to-markdown": "^1.3.0"
- },
- "funding": {
- "type": "opencollective",
- "url": "https://opencollective.com/unified"
- }
- },
- "node_modules/mdast-util-phrasing": {
- "version": "3.0.1",
- "resolved": "https://registry.npmjs.org/mdast-util-phrasing/-/mdast-util-phrasing-3.0.1.tgz",
- "integrity": "sha512-WmI1gTXUBJo4/ZmSk79Wcb2HcjPJBzM1nlI/OUWA8yk2X9ik3ffNbBGsU+09BFmXaL1IBb9fiuvq6/KMiNycSg==",
- "dependencies": {
- "@types/mdast": "^3.0.0",
- "unist-util-is": "^5.0.0"
- },
- "funding": {
- "type": "opencollective",
- "url": "https://opencollective.com/unified"
- }
- },
- "node_modules/mdast-util-to-hast": {
- "version": "12.3.0",
- "resolved": "https://registry.npmjs.org/mdast-util-to-hast/-/mdast-util-to-hast-12.3.0.tgz",
- "integrity": "sha512-pits93r8PhnIoU4Vy9bjW39M2jJ6/tdHyja9rrot9uujkN7UTU9SDnE6WNJz/IGyQk3XHX6yNNtrBH6cQzm8Hw==",
- "dependencies": {
- "@types/hast": "^2.0.0",
- "@types/mdast": "^3.0.0",
- "mdast-util-definitions": "^5.0.0",
- "micromark-util-sanitize-uri": "^1.1.0",
- "trim-lines": "^3.0.0",
- "unist-util-generated": "^2.0.0",
- "unist-util-position": "^4.0.0",
- "unist-util-visit": "^4.0.0"
- },
- "funding": {
- "type": "opencollective",
- "url": "https://opencollective.com/unified"
- }
- },
- "node_modules/mdast-util-to-markdown": {
- "version": "1.5.0",
- "resolved": "https://registry.npmjs.org/mdast-util-to-markdown/-/mdast-util-to-markdown-1.5.0.tgz",
- "integrity": "sha512-bbv7TPv/WC49thZPg3jXuqzuvI45IL2EVAr/KxF0BSdHsU0ceFHOmwQn6evxAh1GaoK/6GQ1wp4R4oW2+LFL/A==",
- "dependencies": {
- "@types/mdast": "^3.0.0",
- "@types/unist": "^2.0.0",
- "longest-streak": "^3.0.0",
- "mdast-util-phrasing": "^3.0.0",
- "mdast-util-to-string": "^3.0.0",
- "micromark-util-decode-string": "^1.0.0",
- "unist-util-visit": "^4.0.0",
- "zwitch": "^2.0.0"
- },
- "funding": {
- "type": "opencollective",
- "url": "https://opencollective.com/unified"
- }
- },
- "node_modules/mdast-util-to-string": {
- "version": "3.2.0",
- "resolved": "https://registry.npmjs.org/mdast-util-to-string/-/mdast-util-to-string-3.2.0.tgz",
- "integrity": "sha512-V4Zn/ncyN1QNSqSBxTrMOLpjr+IKdHl2v3KVLoWmDPscP4r9GcCi71gjgvUV1SFSKh92AjAG4peFuBl2/YgCJg==",
- "dependencies": {
- "@types/mdast": "^3.0.0"
- },
- "funding": {
- "type": "opencollective",
- "url": "https://opencollective.com/unified"
- }
- },
- "node_modules/merge-refs": {
- "version": "1.3.0",
- "resolved": "https://registry.npmjs.org/merge-refs/-/merge-refs-1.3.0.tgz",
- "integrity": "sha512-nqXPXbso+1dcKDpPCXvwZyJILz+vSLqGGOnDrYHQYE+B8n9JTCekVLC65AfCpR4ggVyA/45Y0iR9LDyS2iI+zA==",
- "funding": {
- "url": "https://github.com/wojtekmaj/merge-refs?sponsor=1"
- },
- "peerDependencies": {
- "@types/react": "^16.8.0 || ^17.0.0 || ^18.0.0 || ^19.0.0"
- },
- "peerDependenciesMeta": {
- "@types/react": {
- "optional": true
- }
- }
- },
- "node_modules/merge-stream": {
- "version": "2.0.0",
- "resolved": "https://registry.npmjs.org/merge-stream/-/merge-stream-2.0.0.tgz",
- "integrity": "sha512-abv/qOcuPfk3URPfDzmZU1LKmuw8kT+0nIHvKrKgFrwifol/doWcdA4ZqsWQ8ENrFKkd67Mfpo/LovbIUsbt3w=="
- },
- "node_modules/merge2": {
- "version": "1.4.1",
- "resolved": "https://registry.npmjs.org/merge2/-/merge2-1.4.1.tgz",
- "integrity": "sha512-8q7VEgMJW4J8tcfVPy8g09NcQwZdbwFEqhe/WZkoIzjn/3TGDwtOCYtXGxA3O8tPzpczCCDgv+P2P5y00ZJOOg==",
- "engines": {
- "node": ">= 8"
- }
- },
- "node_modules/mhchemparser": {
- "version": "4.2.1",
- "resolved": "https://registry.npmjs.org/mhchemparser/-/mhchemparser-4.2.1.tgz",
- "integrity": "sha512-kYmyrCirqJf3zZ9t/0wGgRZ4/ZJw//VwaRVGA75C4nhE60vtnIzhl9J9ndkX/h6hxSN7pjg/cE0VxbnNM+bnDQ=="
- },
- "node_modules/micromark": {
- "version": "3.2.0",
- "resolved": "https://registry.npmjs.org/micromark/-/micromark-3.2.0.tgz",
- "integrity": "sha512-uD66tJj54JLYq0De10AhWycZWGQNUvDI55xPgk2sQM5kn1JYlhbCMTtEeT27+vAhW2FBQxLlOmS3pmA7/2z4aA==",
- "funding": [
- {
- "type": "GitHub Sponsors",
- "url": "https://github.com/sponsors/unifiedjs"
- },
- {
- "type": "OpenCollective",
- "url": "https://opencollective.com/unified"
- }
- ],
- "dependencies": {
- "@types/debug": "^4.0.0",
- "debug": "^4.0.0",
- "decode-named-character-reference": "^1.0.0",
- "micromark-core-commonmark": "^1.0.1",
- "micromark-factory-space": "^1.0.0",
- "micromark-util-character": "^1.0.0",
- "micromark-util-chunked": "^1.0.0",
- "micromark-util-combine-extensions": "^1.0.0",
- "micromark-util-decode-numeric-character-reference": "^1.0.0",
- "micromark-util-encode": "^1.0.0",
- "micromark-util-normalize-identifier": "^1.0.0",
- "micromark-util-resolve-all": "^1.0.0",
- "micromark-util-sanitize-uri": "^1.0.0",
- "micromark-util-subtokenize": "^1.0.0",
- "micromark-util-symbol": "^1.0.0",
- "micromark-util-types": "^1.0.1",
- "uvu": "^0.5.0"
- }
- },
- "node_modules/micromark-core-commonmark": {
- "version": "1.1.0",
- "resolved": "https://registry.npmjs.org/micromark-core-commonmark/-/micromark-core-commonmark-1.1.0.tgz",
- "integrity": "sha512-BgHO1aRbolh2hcrzL2d1La37V0Aoz73ymF8rAcKnohLy93titmv62E0gP8Hrx9PKcKrqCZ1BbLGbP3bEhoXYlw==",
- "funding": [
- {
- "type": "GitHub Sponsors",
- "url": "https://github.com/sponsors/unifiedjs"
- },
- {
- "type": "OpenCollective",
- "url": "https://opencollective.com/unified"
- }
- ],
- "dependencies": {
- "decode-named-character-reference": "^1.0.0",
- "micromark-factory-destination": "^1.0.0",
- "micromark-factory-label": "^1.0.0",
- "micromark-factory-space": "^1.0.0",
- "micromark-factory-title": "^1.0.0",
- "micromark-factory-whitespace": "^1.0.0",
- "micromark-util-character": "^1.0.0",
- "micromark-util-chunked": "^1.0.0",
- "micromark-util-classify-character": "^1.0.0",
- "micromark-util-html-tag-name": "^1.0.0",
- "micromark-util-normalize-identifier": "^1.0.0",
- "micromark-util-resolve-all": "^1.0.0",
- "micromark-util-subtokenize": "^1.0.0",
- "micromark-util-symbol": "^1.0.0",
- "micromark-util-types": "^1.0.1",
- "uvu": "^0.5.0"
- }
- },
- "node_modules/micromark-extension-gfm": {
- "version": "2.0.3",
- "resolved": "https://registry.npmjs.org/micromark-extension-gfm/-/micromark-extension-gfm-2.0.3.tgz",
- "integrity": "sha512-vb9OoHqrhCmbRidQv/2+Bc6pkP0FrtlhurxZofvOEy5o8RtuuvTq+RQ1Vw5ZDNrVraQZu3HixESqbG+0iKk/MQ==",
- "dependencies": {
- "micromark-extension-gfm-autolink-literal": "^1.0.0",
- "micromark-extension-gfm-footnote": "^1.0.0",
- "micromark-extension-gfm-strikethrough": "^1.0.0",
- "micromark-extension-gfm-table": "^1.0.0",
- "micromark-extension-gfm-tagfilter": "^1.0.0",
- "micromark-extension-gfm-task-list-item": "^1.0.0",
- "micromark-util-combine-extensions": "^1.0.0",
- "micromark-util-types": "^1.0.0"
- },
- "funding": {
- "type": "opencollective",
- "url": "https://opencollective.com/unified"
- }
- },
- "node_modules/micromark-extension-gfm-autolink-literal": {
- "version": "1.0.5",
- "resolved": "https://registry.npmjs.org/micromark-extension-gfm-autolink-literal/-/micromark-extension-gfm-autolink-literal-1.0.5.tgz",
- "integrity": "sha512-z3wJSLrDf8kRDOh2qBtoTRD53vJ+CWIyo7uyZuxf/JAbNJjiHsOpG1y5wxk8drtv3ETAHutCu6N3thkOOgueWg==",
- "dependencies": {
- "micromark-util-character": "^1.0.0",
- "micromark-util-sanitize-uri": "^1.0.0",
- "micromark-util-symbol": "^1.0.0",
- "micromark-util-types": "^1.0.0"
- },
- "funding": {
- "type": "opencollective",
- "url": "https://opencollective.com/unified"
- }
- },
- "node_modules/micromark-extension-gfm-footnote": {
- "version": "1.1.2",
- "resolved": "https://registry.npmjs.org/micromark-extension-gfm-footnote/-/micromark-extension-gfm-footnote-1.1.2.tgz",
- "integrity": "sha512-Yxn7z7SxgyGWRNa4wzf8AhYYWNrwl5q1Z8ii+CSTTIqVkmGZF1CElX2JI8g5yGoM3GAman9/PVCUFUSJ0kB/8Q==",
- "dependencies": {
- "micromark-core-commonmark": "^1.0.0",
- "micromark-factory-space": "^1.0.0",
- "micromark-util-character": "^1.0.0",
- "micromark-util-normalize-identifier": "^1.0.0",
- "micromark-util-sanitize-uri": "^1.0.0",
- "micromark-util-symbol": "^1.0.0",
- "micromark-util-types": "^1.0.0",
- "uvu": "^0.5.0"
- },
- "funding": {
- "type": "opencollective",
- "url": "https://opencollective.com/unified"
- }
- },
- "node_modules/micromark-extension-gfm-strikethrough": {
- "version": "1.0.7",
- "resolved": "https://registry.npmjs.org/micromark-extension-gfm-strikethrough/-/micromark-extension-gfm-strikethrough-1.0.7.tgz",
- "integrity": "sha512-sX0FawVE1o3abGk3vRjOH50L5TTLr3b5XMqnP9YDRb34M0v5OoZhG+OHFz1OffZ9dlwgpTBKaT4XW/AsUVnSDw==",
- "dependencies": {
- "micromark-util-chunked": "^1.0.0",
- "micromark-util-classify-character": "^1.0.0",
- "micromark-util-resolve-all": "^1.0.0",
- "micromark-util-symbol": "^1.0.0",
- "micromark-util-types": "^1.0.0",
- "uvu": "^0.5.0"
- },
- "funding": {
- "type": "opencollective",
- "url": "https://opencollective.com/unified"
- }
- },
- "node_modules/micromark-extension-gfm-table": {
- "version": "1.0.7",
- "resolved": "https://registry.npmjs.org/micromark-extension-gfm-table/-/micromark-extension-gfm-table-1.0.7.tgz",
- "integrity": "sha512-3ZORTHtcSnMQEKtAOsBQ9/oHp9096pI/UvdPtN7ehKvrmZZ2+bbWhi0ln+I9drmwXMt5boocn6OlwQzNXeVeqw==",
- "dependencies": {
- "micromark-factory-space": "^1.0.0",
- "micromark-util-character": "^1.0.0",
- "micromark-util-symbol": "^1.0.0",
- "micromark-util-types": "^1.0.0",
- "uvu": "^0.5.0"
- },
- "funding": {
- "type": "opencollective",
- "url": "https://opencollective.com/unified"
- }
- },
- "node_modules/micromark-extension-gfm-tagfilter": {
- "version": "1.0.2",
- "resolved": "https://registry.npmjs.org/micromark-extension-gfm-tagfilter/-/micromark-extension-gfm-tagfilter-1.0.2.tgz",
- "integrity": "sha512-5XWB9GbAUSHTn8VPU8/1DBXMuKYT5uOgEjJb8gN3mW0PNW5OPHpSdojoqf+iq1xo7vWzw/P8bAHY0n6ijpXF7g==",
- "dependencies": {
- "micromark-util-types": "^1.0.0"
- },
- "funding": {
- "type": "opencollective",
- "url": "https://opencollective.com/unified"
- }
- },
- "node_modules/micromark-extension-gfm-task-list-item": {
- "version": "1.0.5",
- "resolved": "https://registry.npmjs.org/micromark-extension-gfm-task-list-item/-/micromark-extension-gfm-task-list-item-1.0.5.tgz",
- "integrity": "sha512-RMFXl2uQ0pNQy6Lun2YBYT9g9INXtWJULgbt01D/x8/6yJ2qpKyzdZD3pi6UIkzF++Da49xAelVKUeUMqd5eIQ==",
- "dependencies": {
- "micromark-factory-space": "^1.0.0",
- "micromark-util-character": "^1.0.0",
- "micromark-util-symbol": "^1.0.0",
- "micromark-util-types": "^1.0.0",
- "uvu": "^0.5.0"
- },
- "funding": {
- "type": "opencollective",
- "url": "https://opencollective.com/unified"
- }
- },
- "node_modules/micromark-extension-math": {
- "version": "2.1.2",
- "resolved": "https://registry.npmjs.org/micromark-extension-math/-/micromark-extension-math-2.1.2.tgz",
- "integrity": "sha512-es0CcOV89VNS9wFmyn+wyFTKweXGW4CEvdaAca6SWRWPyYCbBisnjaHLjWO4Nszuiud84jCpkHsqAJoa768Pvg==",
- "dependencies": {
- "@types/katex": "^0.16.0",
- "katex": "^0.16.0",
- "micromark-factory-space": "^1.0.0",
- "micromark-util-character": "^1.0.0",
- "micromark-util-symbol": "^1.0.0",
- "micromark-util-types": "^1.0.0",
- "uvu": "^0.5.0"
- },
- "funding": {
- "type": "opencollective",
- "url": "https://opencollective.com/unified"
- }
- },
- "node_modules/micromark-factory-destination": {
- "version": "1.1.0",
- "resolved": "https://registry.npmjs.org/micromark-factory-destination/-/micromark-factory-destination-1.1.0.tgz",
- "integrity": "sha512-XaNDROBgx9SgSChd69pjiGKbV+nfHGDPVYFs5dOoDd7ZnMAE+Cuu91BCpsY8RT2NP9vo/B8pds2VQNCLiu0zhg==",
- "funding": [
- {
- "type": "GitHub Sponsors",
- "url": "https://github.com/sponsors/unifiedjs"
- },
- {
- "type": "OpenCollective",
- "url": "https://opencollective.com/unified"
- }
- ],
- "dependencies": {
- "micromark-util-character": "^1.0.0",
- "micromark-util-symbol": "^1.0.0",
- "micromark-util-types": "^1.0.0"
- }
- },
- "node_modules/micromark-factory-label": {
- "version": "1.1.0",
- "resolved": "https://registry.npmjs.org/micromark-factory-label/-/micromark-factory-label-1.1.0.tgz",
- "integrity": "sha512-OLtyez4vZo/1NjxGhcpDSbHQ+m0IIGnT8BoPamh+7jVlzLJBH98zzuCoUeMxvM6WsNeh8wx8cKvqLiPHEACn0w==",
- "funding": [
- {
- "type": "GitHub Sponsors",
- "url": "https://github.com/sponsors/unifiedjs"
- },
- {
- "type": "OpenCollective",
- "url": "https://opencollective.com/unified"
- }
- ],
- "dependencies": {
- "micromark-util-character": "^1.0.0",
- "micromark-util-symbol": "^1.0.0",
- "micromark-util-types": "^1.0.0",
- "uvu": "^0.5.0"
- }
- },
- "node_modules/micromark-factory-space": {
- "version": "1.1.0",
- "resolved": "https://registry.npmjs.org/micromark-factory-space/-/micromark-factory-space-1.1.0.tgz",
- "integrity": "sha512-cRzEj7c0OL4Mw2v6nwzttyOZe8XY/Z8G0rzmWQZTBi/jjwyw/U4uqKtUORXQrR5bAZZnbTI/feRV/R7hc4jQYQ==",
- "funding": [
- {
- "type": "GitHub Sponsors",
- "url": "https://github.com/sponsors/unifiedjs"
- },
- {
- "type": "OpenCollective",
- "url": "https://opencollective.com/unified"
- }
- ],
- "dependencies": {
- "micromark-util-character": "^1.0.0",
- "micromark-util-types": "^1.0.0"
- }
- },
- "node_modules/micromark-factory-title": {
- "version": "1.1.0",
- "resolved": "https://registry.npmjs.org/micromark-factory-title/-/micromark-factory-title-1.1.0.tgz",
- "integrity": "sha512-J7n9R3vMmgjDOCY8NPw55jiyaQnH5kBdV2/UXCtZIpnHH3P6nHUKaH7XXEYuWwx/xUJcawa8plLBEjMPU24HzQ==",
- "funding": [
- {
- "type": "GitHub Sponsors",
- "url": "https://github.com/sponsors/unifiedjs"
- },
- {
- "type": "OpenCollective",
- "url": "https://opencollective.com/unified"
- }
- ],
- "dependencies": {
- "micromark-factory-space": "^1.0.0",
- "micromark-util-character": "^1.0.0",
- "micromark-util-symbol": "^1.0.0",
- "micromark-util-types": "^1.0.0"
- }
- },
- "node_modules/micromark-factory-whitespace": {
- "version": "1.1.0",
- "resolved": "https://registry.npmjs.org/micromark-factory-whitespace/-/micromark-factory-whitespace-1.1.0.tgz",
- "integrity": "sha512-v2WlmiymVSp5oMg+1Q0N1Lxmt6pMhIHD457whWM7/GUlEks1hI9xj5w3zbc4uuMKXGisksZk8DzP2UyGbGqNsQ==",
- "funding": [
- {
- "type": "GitHub Sponsors",
- "url": "https://github.com/sponsors/unifiedjs"
- },
- {
- "type": "OpenCollective",
- "url": "https://opencollective.com/unified"
- }
- ],
- "dependencies": {
- "micromark-factory-space": "^1.0.0",
- "micromark-util-character": "^1.0.0",
- "micromark-util-symbol": "^1.0.0",
- "micromark-util-types": "^1.0.0"
- }
- },
- "node_modules/micromark-util-character": {
- "version": "1.2.0",
- "resolved": "https://registry.npmjs.org/micromark-util-character/-/micromark-util-character-1.2.0.tgz",
- "integrity": "sha512-lXraTwcX3yH/vMDaFWCQJP1uIszLVebzUa3ZHdrgxr7KEU/9mL4mVgCpGbyhvNLNlauROiNUq7WN5u7ndbY6xg==",
- "funding": [
- {
- "type": "GitHub Sponsors",
- "url": "https://github.com/sponsors/unifiedjs"
- },
- {
- "type": "OpenCollective",
- "url": "https://opencollective.com/unified"
- }
- ],
- "dependencies": {
- "micromark-util-symbol": "^1.0.0",
- "micromark-util-types": "^1.0.0"
- }
- },
- "node_modules/micromark-util-chunked": {
- "version": "1.1.0",
- "resolved": "https://registry.npmjs.org/micromark-util-chunked/-/micromark-util-chunked-1.1.0.tgz",
- "integrity": "sha512-Ye01HXpkZPNcV6FiyoW2fGZDUw4Yc7vT0E9Sad83+bEDiCJ1uXu0S3mr8WLpsz3HaG3x2q0HM6CTuPdcZcluFQ==",
- "funding": [
- {
- "type": "GitHub Sponsors",
- "url": "https://github.com/sponsors/unifiedjs"
- },
- {
- "type": "OpenCollective",
- "url": "https://opencollective.com/unified"
- }
- ],
- "dependencies": {
- "micromark-util-symbol": "^1.0.0"
- }
- },
- "node_modules/micromark-util-classify-character": {
- "version": "1.1.0",
- "resolved": "https://registry.npmjs.org/micromark-util-classify-character/-/micromark-util-classify-character-1.1.0.tgz",
- "integrity": "sha512-SL0wLxtKSnklKSUplok1WQFoGhUdWYKggKUiqhX+Swala+BtptGCu5iPRc+xvzJ4PXE/hwM3FNXsfEVgoZsWbw==",
- "funding": [
- {
- "type": "GitHub Sponsors",
- "url": "https://github.com/sponsors/unifiedjs"
- },
- {
- "type": "OpenCollective",
- "url": "https://opencollective.com/unified"
- }
- ],
- "dependencies": {
- "micromark-util-character": "^1.0.0",
- "micromark-util-symbol": "^1.0.0",
- "micromark-util-types": "^1.0.0"
- }
- },
- "node_modules/micromark-util-combine-extensions": {
- "version": "1.1.0",
- "resolved": "https://registry.npmjs.org/micromark-util-combine-extensions/-/micromark-util-combine-extensions-1.1.0.tgz",
- "integrity": "sha512-Q20sp4mfNf9yEqDL50WwuWZHUrCO4fEyeDCnMGmG5Pr0Cz15Uo7KBs6jq+dq0EgX4DPwwrh9m0X+zPV1ypFvUA==",
- "funding": [
- {
- "type": "GitHub Sponsors",
- "url": "https://github.com/sponsors/unifiedjs"
- },
- {
- "type": "OpenCollective",
- "url": "https://opencollective.com/unified"
- }
- ],
- "dependencies": {
- "micromark-util-chunked": "^1.0.0",
- "micromark-util-types": "^1.0.0"
- }
- },
- "node_modules/micromark-util-decode-numeric-character-reference": {
- "version": "1.1.0",
- "resolved": "https://registry.npmjs.org/micromark-util-decode-numeric-character-reference/-/micromark-util-decode-numeric-character-reference-1.1.0.tgz",
- "integrity": "sha512-m9V0ExGv0jB1OT21mrWcuf4QhP46pH1KkfWy9ZEezqHKAxkj4mPCy3nIH1rkbdMlChLHX531eOrymlwyZIf2iw==",
- "funding": [
- {
- "type": "GitHub Sponsors",
- "url": "https://github.com/sponsors/unifiedjs"
- },
- {
- "type": "OpenCollective",
- "url": "https://opencollective.com/unified"
- }
- ],
- "dependencies": {
- "micromark-util-symbol": "^1.0.0"
- }
- },
- "node_modules/micromark-util-decode-string": {
- "version": "1.1.0",
- "resolved": "https://registry.npmjs.org/micromark-util-decode-string/-/micromark-util-decode-string-1.1.0.tgz",
- "integrity": "sha512-YphLGCK8gM1tG1bd54azwyrQRjCFcmgj2S2GoJDNnh4vYtnL38JS8M4gpxzOPNyHdNEpheyWXCTnnTDY3N+NVQ==",
- "funding": [
- {
- "type": "GitHub Sponsors",
- "url": "https://github.com/sponsors/unifiedjs"
- },
- {
- "type": "OpenCollective",
- "url": "https://opencollective.com/unified"
- }
- ],
- "dependencies": {
- "decode-named-character-reference": "^1.0.0",
- "micromark-util-character": "^1.0.0",
- "micromark-util-decode-numeric-character-reference": "^1.0.0",
- "micromark-util-symbol": "^1.0.0"
- }
- },
- "node_modules/micromark-util-encode": {
- "version": "1.1.0",
- "resolved": "https://registry.npmjs.org/micromark-util-encode/-/micromark-util-encode-1.1.0.tgz",
- "integrity": "sha512-EuEzTWSTAj9PA5GOAs992GzNh2dGQO52UvAbtSOMvXTxv3Criqb6IOzJUBCmEqrrXSblJIJBbFFv6zPxpreiJw==",
- "funding": [
- {
- "type": "GitHub Sponsors",
- "url": "https://github.com/sponsors/unifiedjs"
- },
- {
- "type": "OpenCollective",
- "url": "https://opencollective.com/unified"
- }
- ]
- },
- "node_modules/micromark-util-html-tag-name": {
- "version": "1.2.0",
- "resolved": "https://registry.npmjs.org/micromark-util-html-tag-name/-/micromark-util-html-tag-name-1.2.0.tgz",
- "integrity": "sha512-VTQzcuQgFUD7yYztuQFKXT49KghjtETQ+Wv/zUjGSGBioZnkA4P1XXZPT1FHeJA6RwRXSF47yvJ1tsJdoxwO+Q==",
- "funding": [
- {
- "type": "GitHub Sponsors",
- "url": "https://github.com/sponsors/unifiedjs"
- },
- {
- "type": "OpenCollective",
- "url": "https://opencollective.com/unified"
- }
- ]
- },
- "node_modules/micromark-util-normalize-identifier": {
- "version": "1.1.0",
- "resolved": "https://registry.npmjs.org/micromark-util-normalize-identifier/-/micromark-util-normalize-identifier-1.1.0.tgz",
- "integrity": "sha512-N+w5vhqrBihhjdpM8+5Xsxy71QWqGn7HYNUvch71iV2PM7+E3uWGox1Qp90loa1ephtCxG2ftRV/Conitc6P2Q==",
- "funding": [
- {
- "type": "GitHub Sponsors",
- "url": "https://github.com/sponsors/unifiedjs"
- },
- {
- "type": "OpenCollective",
- "url": "https://opencollective.com/unified"
- }
- ],
- "dependencies": {
- "micromark-util-symbol": "^1.0.0"
- }
- },
- "node_modules/micromark-util-resolve-all": {
- "version": "1.1.0",
- "resolved": "https://registry.npmjs.org/micromark-util-resolve-all/-/micromark-util-resolve-all-1.1.0.tgz",
- "integrity": "sha512-b/G6BTMSg+bX+xVCshPTPyAu2tmA0E4X98NSR7eIbeC6ycCqCeE7wjfDIgzEbkzdEVJXRtOG4FbEm/uGbCRouA==",
- "funding": [
- {
- "type": "GitHub Sponsors",
- "url": "https://github.com/sponsors/unifiedjs"
- },
- {
- "type": "OpenCollective",
- "url": "https://opencollective.com/unified"
- }
- ],
- "dependencies": {
- "micromark-util-types": "^1.0.0"
- }
- },
- "node_modules/micromark-util-sanitize-uri": {
- "version": "1.2.0",
- "resolved": "https://registry.npmjs.org/micromark-util-sanitize-uri/-/micromark-util-sanitize-uri-1.2.0.tgz",
- "integrity": "sha512-QO4GXv0XZfWey4pYFndLUKEAktKkG5kZTdUNaTAkzbuJxn2tNBOr+QtxR2XpWaMhbImT2dPzyLrPXLlPhph34A==",
- "funding": [
- {
- "type": "GitHub Sponsors",
- "url": "https://github.com/sponsors/unifiedjs"
- },
- {
- "type": "OpenCollective",
- "url": "https://opencollective.com/unified"
- }
- ],
- "dependencies": {
- "micromark-util-character": "^1.0.0",
- "micromark-util-encode": "^1.0.0",
- "micromark-util-symbol": "^1.0.0"
- }
- },
- "node_modules/micromark-util-subtokenize": {
- "version": "1.1.0",
- "resolved": "https://registry.npmjs.org/micromark-util-subtokenize/-/micromark-util-subtokenize-1.1.0.tgz",
- "integrity": "sha512-kUQHyzRoxvZO2PuLzMt2P/dwVsTiivCK8icYTeR+3WgbuPqfHgPPy7nFKbeqRivBvn/3N3GBiNC+JRTMSxEC7A==",
- "funding": [
- {
- "type": "GitHub Sponsors",
- "url": "https://github.com/sponsors/unifiedjs"
- },
- {
- "type": "OpenCollective",
- "url": "https://opencollective.com/unified"
- }
- ],
- "dependencies": {
- "micromark-util-chunked": "^1.0.0",
- "micromark-util-symbol": "^1.0.0",
- "micromark-util-types": "^1.0.0",
- "uvu": "^0.5.0"
- }
- },
- "node_modules/micromark-util-symbol": {
- "version": "1.1.0",
- "resolved": "https://registry.npmjs.org/micromark-util-symbol/-/micromark-util-symbol-1.1.0.tgz",
- "integrity": "sha512-uEjpEYY6KMs1g7QfJ2eX1SQEV+ZT4rUD3UcF6l57acZvLNK7PBZL+ty82Z1qhK1/yXIY4bdx04FKMgR0g4IAag==",
- "funding": [
- {
- "type": "GitHub Sponsors",
- "url": "https://github.com/sponsors/unifiedjs"
- },
- {
- "type": "OpenCollective",
- "url": "https://opencollective.com/unified"
- }
- ]
- },
- "node_modules/micromark-util-types": {
- "version": "1.1.0",
- "resolved": "https://registry.npmjs.org/micromark-util-types/-/micromark-util-types-1.1.0.tgz",
- "integrity": "sha512-ukRBgie8TIAcacscVHSiddHjO4k/q3pnedmzMQ4iwDcK0FtFCohKOlFbaOL/mPgfnPsL3C1ZyxJa4sbWrBl3jg==",
- "funding": [
- {
- "type": "GitHub Sponsors",
- "url": "https://github.com/sponsors/unifiedjs"
- },
- {
- "type": "OpenCollective",
- "url": "https://opencollective.com/unified"
- }
- ]
- },
- "node_modules/micromatch": {
- "version": "4.0.7",
- "resolved": "https://registry.npmjs.org/micromatch/-/micromatch-4.0.7.tgz",
- "integrity": "sha512-LPP/3KorzCwBxfeUuZmaR6bG2kdeHSbe0P2tY3FLRU4vYrjYz5hI4QZwV0njUx3jeuKe67YukQ1LSPZBKDqO/Q==",
- "dependencies": {
- "braces": "^3.0.3",
- "picomatch": "^2.3.1"
- },
- "engines": {
- "node": ">=8.6"
- }
- },
- "node_modules/million": {
- "version": "3.1.1",
- "resolved": "https://registry.npmjs.org/million/-/million-3.1.1.tgz",
- "integrity": "sha512-vmI3lyA3IN4QKiB0/M3uDef3lZZvgVUokWtLkc5NvxEnykY+TdSR6xatMMNDJmzMHTneayIOpc/eQu4d9Z/r2w==",
- "dependencies": {
- "@babel/core": "^7.23.7",
- "@babel/types": "^7.23.6",
- "@million/install": "^0.0.3",
- "@rollup/pluginutils": "^5.1.0",
- "kleur": "^4.1.5",
- "undici": "^6.3.0",
- "unplugin": "^1.6.0"
- },
- "bin": {
- "million": "packages/cli/dist/index.js"
- },
- "funding": {
- "url": "https://github.com/sponsors/aidenybai"
- }
- },
- "node_modules/mime-db": {
- "version": "1.52.0",
- "resolved": "https://registry.npmjs.org/mime-db/-/mime-db-1.52.0.tgz",
- "integrity": "sha512-sPU4uV7dYlvtWJxwwxHD0PuihVNiE7TyAbQ5SWxDCB9mUYvOgroQOwYQQOKPJ8CIbE+1ETVlOoK1UC2nU3gYvg==",
- "engines": {
- "node": ">= 0.6"
- }
- },
- "node_modules/mime-types": {
- "version": "2.1.35",
- "resolved": "https://registry.npmjs.org/mime-types/-/mime-types-2.1.35.tgz",
- "integrity": "sha512-ZDY+bPm5zTTF+YpCrAU9nK0UgICYPT0QtT1NZWFv4s++TNkcgVaT0g6+4R2uI4MjQjzysHB1zxuWL50hzaeXiw==",
- "dependencies": {
- "mime-db": "1.52.0"
- },
- "engines": {
- "node": ">= 0.6"
- }
- },
- "node_modules/mimic-fn": {
- "version": "2.1.0",
- "resolved": "https://registry.npmjs.org/mimic-fn/-/mimic-fn-2.1.0.tgz",
- "integrity": "sha512-OqbOk5oEQeAZ8WXWydlu9HJjz9WVdEIvamMCcXmuqUYjTknH/sqsWvhQ3vgwKFRR1HpjvNBKQ37nbJgYzGqGcg==",
- "engines": {
- "node": ">=6"
- }
- },
- "node_modules/mimic-response": {
- "version": "1.0.1",
- "resolved": "https://registry.npmjs.org/mimic-response/-/mimic-response-1.0.1.tgz",
- "integrity": "sha512-j5EctnkH7amfV/q5Hgmoal1g2QHFJRraOtmx0JpIqkxhBhI/lJSl1nMpQ45hVarwNETOoWEimndZ4QK0RHxuxQ==",
- "dev": true,
- "engines": {
- "node": ">=4"
- }
- },
- "node_modules/min-indent": {
- "version": "1.0.1",
- "resolved": "https://registry.npmjs.org/min-indent/-/min-indent-1.0.1.tgz",
- "integrity": "sha512-I9jwMn07Sy/IwOj3zVkVik2JTvgpaykDZEigL6Rx6N9LbMywwUSMtxET+7lVoDLLd3O3IXwJwvuuns8UB/HeAg==",
- "dev": true,
- "engines": {
- "node": ">=4"
- }
- },
- "node_modules/mini-svg-data-uri": {
- "version": "1.4.4",
- "resolved": "https://registry.npmjs.org/mini-svg-data-uri/-/mini-svg-data-uri-1.4.4.tgz",
- "integrity": "sha512-r9deDe9p5FJUPZAk3A59wGH7Ii9YrjjWw0jmw/liSbHl2CHiyXj6FcDXDu2K3TjVAXqiJdaw3xxwlZZr9E6nHg==",
- "bin": {
- "mini-svg-data-uri": "cli.js"
- }
- },
- "node_modules/minimatch": {
- "version": "9.0.4",
- "resolved": "https://registry.npmjs.org/minimatch/-/minimatch-9.0.4.tgz",
- "integrity": "sha512-KqWh+VchfxcMNRAJjj2tnsSJdNbHsVgnkBhTNrW7AjVo6OvLtxw8zfT9oLw1JSohlFzJ8jCoTgaoXvJ+kHt6fw==",
- "dependencies": {
- "brace-expansion": "^2.0.1"
- },
- "engines": {
- "node": ">=16 || 14 >=14.17"
- },
- "funding": {
- "url": "https://github.com/sponsors/isaacs"
- }
- },
- "node_modules/minimist": {
- "version": "1.2.8",
- "resolved": "https://registry.npmjs.org/minimist/-/minimist-1.2.8.tgz",
- "integrity": "sha512-2yyAR8qBkN3YuheJanUpWC5U3bb5osDywNB8RzDVlDwDHbocAJveqqj1u8+SVD7jkWT4yvsHCpWqqWqAxb0zCA==",
- "funding": {
- "url": "https://github.com/sponsors/ljharb"
- }
- },
- "node_modules/minipass": {
- "version": "5.0.0",
- "resolved": "https://registry.npmjs.org/minipass/-/minipass-5.0.0.tgz",
- "integrity": "sha512-3FnjYuehv9k6ovOEbyOswadCDPX1piCfhV8ncmYtHOjuPwylVWsghTLo7rabjC3Rx5xD4HDx8Wm1xnMF7S5qFQ==",
- "engines": {
- "node": ">=8"
- }
- },
- "node_modules/minizlib": {
- "version": "2.1.2",
- "resolved": "https://registry.npmjs.org/minizlib/-/minizlib-2.1.2.tgz",
- "integrity": "sha512-bAxsR8BVfj60DWXHE3u30oHzfl4G7khkSuPW+qvpd7jFRHm7dLxOjUk1EHACJ/hxLY8phGJ0YhYHZo7jil7Qdg==",
- "optional": true,
- "dependencies": {
- "minipass": "^3.0.0",
- "yallist": "^4.0.0"
- },
- "engines": {
- "node": ">= 8"
- }
- },
- "node_modules/minizlib/node_modules/minipass": {
- "version": "3.3.6",
- "resolved": "https://registry.npmjs.org/minipass/-/minipass-3.3.6.tgz",
- "integrity": "sha512-DxiNidxSEK+tHG6zOIklvNOwm3hvCrbUrdtzY74U6HKTJxvIDfOUL5W5P2Ghd3DTkhhKPYGqeNUIh5qcM4YBfw==",
- "optional": true,
- "dependencies": {
- "yallist": "^4.0.0"
- },
- "engines": {
- "node": ">=8"
- }
- },
- "node_modules/minizlib/node_modules/yallist": {
- "version": "4.0.0",
- "resolved": "https://registry.npmjs.org/yallist/-/yallist-4.0.0.tgz",
- "integrity": "sha512-3wdGidZyq5PB084XLES5TpOSRA3wjXAlIWMhum2kRcv/41Sn2emQ0dycQW4uZXLejwKvg6EsvbdlVL+FYEct7A==",
- "optional": true
- },
- "node_modules/mj-context-menu": {
- "version": "0.6.1",
- "resolved": "https://registry.npmjs.org/mj-context-menu/-/mj-context-menu-0.6.1.tgz",
- "integrity": "sha512-7NO5s6n10TIV96d4g2uDpG7ZDpIhMh0QNfGdJw/W47JswFcosz457wqz/b5sAKvl12sxINGFCn80NZHKwxQEXA=="
- },
- "node_modules/mkdirp": {
- "version": "1.0.4",
- "resolved": "https://registry.npmjs.org/mkdirp/-/mkdirp-1.0.4.tgz",
- "integrity": "sha512-vVqVZQyf3WLx2Shd0qJ9xuvqgAyKPLAiqITEtqW0oIUjzo3PePDd6fW9iFz30ef7Ysp/oiWqbhszeGWW2T6Gzw==",
- "optional": true,
- "bin": {
- "mkdirp": "bin/cmd.js"
- },
- "engines": {
- "node": ">=10"
- }
- },
- "node_modules/moment": {
- "version": "2.30.1",
- "resolved": "https://registry.npmjs.org/moment/-/moment-2.30.1.tgz",
- "integrity": "sha512-uEmtNhbDOrWPFS+hdjFCBfy9f2YoyzRpwcl+DqpC6taX21FzsTLQVbMV/W7PzNSX6x/bhC1zA3c2UQ5NzH6how==",
- "engines": {
- "node": "*"
- }
- },
- "node_modules/mri": {
- "version": "1.2.0",
- "resolved": "https://registry.npmjs.org/mri/-/mri-1.2.0.tgz",
- "integrity": "sha512-tzzskb3bG8LvYGFF/mDTpq3jpI6Q9wc3LEmBaghu+DdCssd1FakN7Bc0hVNmEyGq1bq3RgfkCb3cmQLpNPOroA==",
- "engines": {
- "node": ">=4"
- }
- },
- "node_modules/ms": {
- "version": "2.1.2",
- "resolved": "https://registry.npmjs.org/ms/-/ms-2.1.2.tgz",
- "integrity": "sha512-sGkPx+VjMtmA6MX27oA4FBFELFCZZ4S4XqeGOXCv68tT+jb3vk/RyaKWP0PTKyWtmLSM0b+adUTEvbs1PEaH2w=="
- },
- "node_modules/mz": {
- "version": "2.7.0",
- "resolved": "https://registry.npmjs.org/mz/-/mz-2.7.0.tgz",
- "integrity": "sha512-z81GNO7nnYMEhrGh9LeymoE4+Yr0Wn5McHIZMK5cfQCl+NDX08sCZgUc9/6MHni9IWuFLm1Z3HTCXu2z9fN62Q==",
- "dependencies": {
- "any-promise": "^1.0.0",
- "object-assign": "^4.0.1",
- "thenify-all": "^1.0.0"
- }
- },
- "node_modules/nan": {
- "version": "2.19.0",
- "resolved": "https://registry.npmjs.org/nan/-/nan-2.19.0.tgz",
- "integrity": "sha512-nO1xXxfh/RWNxfd/XPfbIfFk5vgLsAxUR9y5O0cHMJu/AW9U95JLXqthYHjEp+8gQ5p96K9jUp8nbVOxCdRbtw==",
- "optional": true
- },
- "node_modules/nanoid": {
- "version": "3.3.7",
- "resolved": "https://registry.npmjs.org/nanoid/-/nanoid-3.3.7.tgz",
- "integrity": "sha512-eSRppjcPIatRIMC1U6UngP8XFcz8MQWGQdt1MTBQ7NaAmvXDfvNxbvWV3x2y6CdEUciCSsDHDQZbhYaB8QEo2g==",
- "funding": [
- {
- "type": "github",
- "url": "https://github.com/sponsors/ai"
- }
- ],
- "bin": {
- "nanoid": "bin/nanoid.cjs"
- },
- "engines": {
- "node": "^10 || ^12 || ^13.7 || ^14 || >=15.0.1"
- }
- },
- "node_modules/natural-compare": {
- "version": "1.4.0",
- "resolved": "https://registry.npmjs.org/natural-compare/-/natural-compare-1.4.0.tgz",
- "integrity": "sha512-OWND8ei3VtNC9h7V60qff3SVobHr996CTwgxubgyQYEpg290h9J0buyECNNJexkFm5sOajh5G116RYA1c8ZMSw==",
- "dev": true
- },
- "node_modules/no-case": {
- "version": "3.0.4",
- "resolved": "https://registry.npmjs.org/no-case/-/no-case-3.0.4.tgz",
- "integrity": "sha512-fgAN3jGAh+RoxUGZHTSOLJIqUc2wmoBwGR4tbpNAKmmovFoWq0OdRkb0VkldReO2a2iBT/OEulG9XSUc10r3zg==",
- "dependencies": {
- "lower-case": "^2.0.2",
- "tslib": "^2.0.3"
- }
- },
- "node_modules/node-domexception": {
- "version": "1.0.0",
- "resolved": "https://registry.npmjs.org/node-domexception/-/node-domexception-1.0.0.tgz",
- "integrity": "sha512-/jKZoMpw0F8GRwl4/eLROPA3cfcXtLApP0QzLmUT/HuPCZWyB7IY9ZrMeKw2O/nFIqPQB3PVM9aYm0F312AXDQ==",
- "funding": [
- {
- "type": "github",
- "url": "https://github.com/sponsors/jimmywarting"
- },
- {
- "type": "github",
- "url": "https://paypal.me/jimmywarting"
- }
- ],
- "engines": {
- "node": ">=10.5.0"
- }
- },
- "node_modules/node-fetch": {
- "version": "2.7.0",
- "resolved": "https://registry.npmjs.org/node-fetch/-/node-fetch-2.7.0.tgz",
- "integrity": "sha512-c4FRfUm/dbcWZ7U+1Wq0AwCyFL+3nt2bEw05wfxSz+DWpWsitgmSgYmy2dQdWyKC1694ELPqMs/YzUSNozLt8A==",
- "dependencies": {
- "whatwg-url": "^5.0.0"
- },
- "engines": {
- "node": "4.x || >=6.0.0"
- },
- "peerDependencies": {
- "encoding": "^0.1.0"
- },
- "peerDependenciesMeta": {
- "encoding": {
- "optional": true
- }
- }
- },
- "node_modules/node-releases": {
- "version": "2.0.14",
- "resolved": "https://registry.npmjs.org/node-releases/-/node-releases-2.0.14.tgz",
- "integrity": "sha512-y10wOWt8yZpqXmOgRo77WaHEmhYQYGNA6y421PKsKYWEK8aW+cqAphborZDhqfyKrbZEN92CN1X2KbafY2s7Yw=="
- },
- "node_modules/nopt": {
- "version": "5.0.0",
- "resolved": "https://registry.npmjs.org/nopt/-/nopt-5.0.0.tgz",
- "integrity": "sha512-Tbj67rffqceeLpcRXrT7vKAN8CwfPeIBgM7E6iBkmKLV7bEMwpGgYLGv0jACUsECaa/vuxP0IjEont6umdMgtQ==",
- "optional": true,
- "dependencies": {
- "abbrev": "1"
- },
- "bin": {
- "nopt": "bin/nopt.js"
- },
- "engines": {
- "node": ">=6"
- }
- },
- "node_modules/normalize-path": {
- "version": "3.0.0",
- "resolved": "https://registry.npmjs.org/normalize-path/-/normalize-path-3.0.0.tgz",
- "integrity": "sha512-6eZs5Ls3WtCisHWp9S2GUy8dqkpGi4BVSz3GaqiE6ezub0512ESztXUwUB6C6IKbQkY2Pnb/mD4WYojCRwcwLA==",
- "engines": {
- "node": ">=0.10.0"
- }
- },
- "node_modules/normalize-range": {
- "version": "0.1.2",
- "resolved": "https://registry.npmjs.org/normalize-range/-/normalize-range-0.1.2.tgz",
- "integrity": "sha512-bdok/XvKII3nUpklnV6P2hxtMNrCboOjAcyBuQnWEhO665FwrSNRxU+AqpsyvO6LgGYPspN+lu5CLtw4jPRKNA==",
- "dev": true,
- "engines": {
- "node": ">=0.10.0"
- }
- },
- "node_modules/normalize-url": {
- "version": "6.1.0",
- "resolved": "https://registry.npmjs.org/normalize-url/-/normalize-url-6.1.0.tgz",
- "integrity": "sha512-DlL+XwOy3NxAQ8xuC0okPgK46iuVNAK01YN7RueYBqqFeGsBjV9XmCAzAdgt+667bCl5kPh9EqKKDwnaPG1I7A==",
- "dev": true,
- "engines": {
- "node": ">=10"
- },
- "funding": {
- "url": "https://github.com/sponsors/sindresorhus"
- }
- },
- "node_modules/npm-run-path": {
- "version": "2.0.2",
- "resolved": "https://registry.npmjs.org/npm-run-path/-/npm-run-path-2.0.2.tgz",
- "integrity": "sha512-lJxZYlT4DW/bRUtFh1MQIWqmLwQfAxnqWG4HhEdjMlkrJYnJn0Jrr2u3mgxqaWsdiBc76TYkTG/mhrnYTuzfHw==",
- "dev": true,
- "dependencies": {
- "path-key": "^2.0.0"
- },
- "engines": {
- "node": ">=4"
- }
- },
- "node_modules/npm-run-path/node_modules/path-key": {
- "version": "2.0.1",
- "resolved": "https://registry.npmjs.org/path-key/-/path-key-2.0.1.tgz",
- "integrity": "sha512-fEHGKCSmUSDPv4uoj8AlD+joPlq3peND+HRYyxFz4KPw4z926S/b8rIuFs2FYJg3BwsxJf6A9/3eIdLaYC+9Dw==",
- "dev": true,
- "engines": {
- "node": ">=4"
- }
- },
- "node_modules/npmlog": {
- "version": "5.0.1",
- "resolved": "https://registry.npmjs.org/npmlog/-/npmlog-5.0.1.tgz",
- "integrity": "sha512-AqZtDUWOMKs1G/8lwylVjrdYgqA4d9nu8hc+0gzRxlDb1I10+FHBGMXs6aiQHFdCUUlqH99MUMuLfzWDNDtfxw==",
- "deprecated": "This package is no longer supported.",
- "optional": true,
- "dependencies": {
- "are-we-there-yet": "^2.0.0",
- "console-control-strings": "^1.1.0",
- "gauge": "^3.0.0",
- "set-blocking": "^2.0.0"
- }
- },
- "node_modules/nwsapi": {
- "version": "2.2.10",
- "resolved": "https://registry.npmjs.org/nwsapi/-/nwsapi-2.2.10.tgz",
- "integrity": "sha512-QK0sRs7MKv0tKe1+5uZIQk/C8XGza4DAnztJG8iD+TpJIORARrCxczA738awHrZoHeTjSSoHqao2teO0dC/gFQ=="
- },
- "node_modules/object-assign": {
- "version": "4.1.1",
- "resolved": "https://registry.npmjs.org/object-assign/-/object-assign-4.1.1.tgz",
- "integrity": "sha512-rJgTQnkUnH1sFw8yT6VSU3zD3sWmu6sZhIseY8VX+GRu3P6F7Fu+JNDoXfklElbLJSnc3FUQHVe4cU5hj+BcUg==",
- "engines": {
- "node": ">=0.10.0"
- }
- },
- "node_modules/object-hash": {
- "version": "3.0.0",
- "resolved": "https://registry.npmjs.org/object-hash/-/object-hash-3.0.0.tgz",
- "integrity": "sha512-RSn9F68PjH9HqtltsSnqYC1XXoWe9Bju5+213R98cNGttag9q9yAOTzdbsqvIa7aNm5WffBZFpWYr2aWrklWAw==",
- "engines": {
- "node": ">= 6"
- }
- },
- "node_modules/object-inspect": {
- "version": "1.13.1",
- "resolved": "https://registry.npmjs.org/object-inspect/-/object-inspect-1.13.1.tgz",
- "integrity": "sha512-5qoj1RUiKOMsCCNLV1CBiPYE10sziTsnmNxkAI/rZhiD63CF7IqdFGC/XzjWjpSgLf0LxXX3bDFIh0E18f6UhQ==",
- "dev": true,
- "funding": {
- "url": "https://github.com/sponsors/ljharb"
- }
- },
- "node_modules/object-is": {
- "version": "1.1.6",
- "resolved": "https://registry.npmjs.org/object-is/-/object-is-1.1.6.tgz",
- "integrity": "sha512-F8cZ+KfGlSGi09lJT7/Nd6KJZ9ygtvYC0/UYYLI9nmQKLMnydpB9yvbv9K1uSkEu7FU9vYPmVwLg328tX+ot3Q==",
- "dev": true,
- "dependencies": {
- "call-bind": "^1.0.7",
- "define-properties": "^1.2.1"
- },
- "engines": {
- "node": ">= 0.4"
- },
- "funding": {
- "url": "https://github.com/sponsors/ljharb"
- }
- },
- "node_modules/object-keys": {
- "version": "1.1.1",
- "resolved": "https://registry.npmjs.org/object-keys/-/object-keys-1.1.1.tgz",
- "integrity": "sha512-NuAESUOUMrlIXOfHKzD6bpPu3tYt3xvjNdRIQ+FeT0lNb4K8WR70CaDxhuNguS2XG+GjkyMwOzsN5ZktImfhLA==",
- "dev": true,
- "engines": {
- "node": ">= 0.4"
- }
- },
- "node_modules/object.assign": {
- "version": "4.1.5",
- "resolved": "https://registry.npmjs.org/object.assign/-/object.assign-4.1.5.tgz",
- "integrity": "sha512-byy+U7gp+FVwmyzKPYhW2h5l3crpmGsxl7X2s8y43IgxvG4g3QZ6CffDtsNQy1WsmZpQbO+ybo0AlW7TY6DcBQ==",
- "dev": true,
- "dependencies": {
- "call-bind": "^1.0.5",
- "define-properties": "^1.2.1",
- "has-symbols": "^1.0.3",
- "object-keys": "^1.1.1"
- },
- "engines": {
- "node": ">= 0.4"
- },
- "funding": {
- "url": "https://github.com/sponsors/ljharb"
- }
- },
- "node_modules/once": {
- "version": "1.4.0",
- "resolved": "https://registry.npmjs.org/once/-/once-1.4.0.tgz",
- "integrity": "sha512-lNaJgI+2Q5URQBkccEKHTQOPaXdUxnZZElQTZY0MFUAuaEqe1E+Nyvgdz/aIyNi6Z9MzO5dv1H8n58/GELp3+w==",
- "devOptional": true,
- "dependencies": {
- "wrappy": "1"
- }
- },
- "node_modules/onetime": {
- "version": "5.1.2",
- "resolved": "https://registry.npmjs.org/onetime/-/onetime-5.1.2.tgz",
- "integrity": "sha512-kbpaSSGJTWdAY5KPVeMOKXSrPtr8C8C7wodJbcsd51jRnmD+GZu8Y0VoU6Dm5Z4vWr0Ig/1NKuWRKf7j5aaYSg==",
- "dependencies": {
- "mimic-fn": "^2.1.0"
- },
- "engines": {
- "node": ">=6"
- },
- "funding": {
- "url": "https://github.com/sponsors/sindresorhus"
- }
- },
- "node_modules/openseadragon": {
- "version": "4.1.1",
- "resolved": "https://registry.npmjs.org/openseadragon/-/openseadragon-4.1.1.tgz",
- "integrity": "sha512-owU9gsasAcobLN+LM8lN58Xc2VDSDotY9mkrwS/NB6g9KX/PcusV4RZvhHng2RF/Q0pMziwldf62glwXoGnuzg==",
- "funding": {
- "url": "https://opencollective.com/openseadragon"
- }
- },
- "node_modules/optionator": {
- "version": "0.9.4",
- "resolved": "https://registry.npmjs.org/optionator/-/optionator-0.9.4.tgz",
- "integrity": "sha512-6IpQ7mKUxRcZNLIObR0hz7lxsapSSIYNZJwXPGeF0mTVqGKFIXj1DQcMoT22S3ROcLyY/rz0PWaWZ9ayWmad9g==",
- "dev": true,
- "dependencies": {
- "deep-is": "^0.1.3",
- "fast-levenshtein": "^2.0.6",
- "levn": "^0.4.1",
- "prelude-ls": "^1.2.1",
- "type-check": "^0.4.0",
- "word-wrap": "^1.2.5"
- },
- "engines": {
- "node": ">= 0.8.0"
- }
- },
- "node_modules/ora": {
- "version": "6.3.1",
- "resolved": "https://registry.npmjs.org/ora/-/ora-6.3.1.tgz",
- "integrity": "sha512-ERAyNnZOfqM+Ao3RAvIXkYh5joP220yf59gVe2X/cI6SiCxIdi4c9HZKZD8R6q/RDXEje1THBju6iExiSsgJaQ==",
- "dependencies": {
- "chalk": "^5.0.0",
- "cli-cursor": "^4.0.0",
- "cli-spinners": "^2.6.1",
- "is-interactive": "^2.0.0",
- "is-unicode-supported": "^1.1.0",
- "log-symbols": "^5.1.0",
- "stdin-discarder": "^0.1.0",
- "strip-ansi": "^7.0.1",
- "wcwidth": "^1.0.1"
- },
- "engines": {
- "node": "^12.20.0 || ^14.13.1 || >=16.0.0"
- },
- "funding": {
- "url": "https://github.com/sponsors/sindresorhus"
- }
- },
- "node_modules/ora/node_modules/ansi-regex": {
- "version": "6.0.1",
- "resolved": "https://registry.npmjs.org/ansi-regex/-/ansi-regex-6.0.1.tgz",
- "integrity": "sha512-n5M855fKb2SsfMIiFFoVrABHJC8QtHwVx+mHWP3QcEqBHYienj5dHSgjbxtC0WEZXYt4wcD6zrQElDPhFuZgfA==",
- "engines": {
- "node": ">=12"
- },
- "funding": {
- "url": "https://github.com/chalk/ansi-regex?sponsor=1"
- }
- },
- "node_modules/ora/node_modules/chalk": {
- "version": "5.3.0",
- "resolved": "https://registry.npmjs.org/chalk/-/chalk-5.3.0.tgz",
- "integrity": "sha512-dLitG79d+GV1Nb/VYcCDFivJeK1hiukt9QjRNVOsUtTy1rR1YJsmpGGTZ3qJos+uw7WmWF4wUwBd9jxjocFC2w==",
- "engines": {
- "node": "^12.17.0 || ^14.13 || >=16.0.0"
- },
- "funding": {
- "url": "https://github.com/chalk/chalk?sponsor=1"
- }
- },
- "node_modules/ora/node_modules/strip-ansi": {
- "version": "7.1.0",
- "resolved": "https://registry.npmjs.org/strip-ansi/-/strip-ansi-7.1.0.tgz",
- "integrity": "sha512-iq6eVVI64nQQTRYq2KtEg2d2uU7LElhTJwsH4YzIHZshxlgZms/wIc4VoDQTlG/IvVIrBKG06CrZnp0qv7hkcQ==",
- "dependencies": {
- "ansi-regex": "^6.0.1"
- },
- "engines": {
- "node": ">=12"
- },
- "funding": {
- "url": "https://github.com/chalk/strip-ansi?sponsor=1"
- }
- },
- "node_modules/os-filter-obj": {
- "version": "2.0.0",
- "resolved": "https://registry.npmjs.org/os-filter-obj/-/os-filter-obj-2.0.0.tgz",
- "integrity": "sha512-uksVLsqG3pVdzzPvmAHpBK0wKxYItuzZr7SziusRPoz67tGV8rL1szZ6IdeUrbqLjGDwApBtN29eEE3IqGHOjg==",
- "dev": true,
- "dependencies": {
- "arch": "^2.1.0"
- },
- "engines": {
- "node": ">=4"
- }
- },
- "node_modules/p-cancelable": {
- "version": "2.1.1",
- "resolved": "https://registry.npmjs.org/p-cancelable/-/p-cancelable-2.1.1.tgz",
- "integrity": "sha512-BZOr3nRQHOntUjTrH8+Lh54smKHoHyur8We1V8DSMVrl5A2malOOwuJRnKRDjSnkoeBh4at6BwEnb5I7Jl31wg==",
- "dev": true,
- "engines": {
- "node": ">=8"
- }
- },
- "node_modules/p-finally": {
- "version": "1.0.0",
- "resolved": "https://registry.npmjs.org/p-finally/-/p-finally-1.0.0.tgz",
- "integrity": "sha512-LICb2p9CB7FS+0eR1oqWnHhp0FljGLZCWBE9aix0Uye9W8LTQPwMTYVGWQWIw9RdQiDg4+epXQODwIYJtSJaow==",
- "dev": true,
- "engines": {
- "node": ">=4"
- }
- },
- "node_modules/p-limit": {
- "version": "3.1.0",
- "resolved": "https://registry.npmjs.org/p-limit/-/p-limit-3.1.0.tgz",
- "integrity": "sha512-TYOanM3wGwNGsZN2cVTYPArw454xnXj5qmWF1bEoAc4+cU/ol7GVh7odevjp1FNHduHc3KZMcFduxU5Xc6uJRQ==",
- "dev": true,
- "dependencies": {
- "yocto-queue": "^0.1.0"
- },
- "engines": {
- "node": ">=10"
- },
- "funding": {
- "url": "https://github.com/sponsors/sindresorhus"
- }
- },
- "node_modules/p-locate": {
- "version": "5.0.0",
- "resolved": "https://registry.npmjs.org/p-locate/-/p-locate-5.0.0.tgz",
- "integrity": "sha512-LaNjtRWUBY++zB5nE/NwcaoMylSPk+S+ZHNB1TzdbMJMny6dynpAGt7X/tl/QYq3TIeE6nxHppbo2LGymrG5Pw==",
- "dev": true,
- "dependencies": {
- "p-limit": "^3.0.2"
- },
- "engines": {
- "node": ">=10"
- },
- "funding": {
- "url": "https://github.com/sponsors/sindresorhus"
- }
- },
- "node_modules/p-try": {
- "version": "2.2.0",
- "resolved": "https://registry.npmjs.org/p-try/-/p-try-2.2.0.tgz",
- "integrity": "sha512-R4nPAVTAU0B9D35/Gk3uJf/7XYbQcyohSKdvAxIRSNghFl4e71hVoGnBNQz9cWaXxO2I10KTC+3jMdvvoKw6dQ==",
- "dev": true,
- "engines": {
- "node": ">=6"
- }
- },
- "node_modules/parent-module": {
- "version": "1.0.1",
- "resolved": "https://registry.npmjs.org/parent-module/-/parent-module-1.0.1.tgz",
- "integrity": "sha512-GQ2EWRpQV8/o+Aw8YqtfZZPfNRWZYkbidE9k5rpl/hC3vtHHBfGm2Ifi6qWV+coDGkrUKZAxE3Lot5kcsRlh+g==",
- "dependencies": {
- "callsites": "^3.0.0"
- },
- "engines": {
- "node": ">=6"
- }
- },
- "node_modules/parse-entities": {
- "version": "2.0.0",
- "resolved": "https://registry.npmjs.org/parse-entities/-/parse-entities-2.0.0.tgz",
- "integrity": "sha512-kkywGpCcRYhqQIchaWqZ875wzpS/bMKhz5HnN3p7wveJTkTtyAB/AlnS0f8DFSqYW1T82t6yEAkEcB+A1I3MbQ==",
- "dependencies": {
- "character-entities": "^1.0.0",
- "character-entities-legacy": "^1.0.0",
- "character-reference-invalid": "^1.0.0",
- "is-alphanumerical": "^1.0.0",
- "is-decimal": "^1.0.0",
- "is-hexadecimal": "^1.0.0"
- },
- "funding": {
- "type": "github",
- "url": "https://github.com/sponsors/wooorm"
- }
- },
- "node_modules/parse-json": {
- "version": "5.2.0",
- "resolved": "https://registry.npmjs.org/parse-json/-/parse-json-5.2.0.tgz",
- "integrity": "sha512-ayCKvm/phCGxOkYRSCM82iDwct8/EonSEgCSxWxD7ve6jHggsFl4fZVQBPRNgQoKiuV/odhFrGzQXZwbifC8Rg==",
- "dependencies": {
- "@babel/code-frame": "^7.0.0",
- "error-ex": "^1.3.1",
- "json-parse-even-better-errors": "^2.3.0",
- "lines-and-columns": "^1.1.6"
- },
- "engines": {
- "node": ">=8"
- },
- "funding": {
- "url": "https://github.com/sponsors/sindresorhus"
- }
- },
- "node_modules/parse5": {
- "version": "7.1.2",
- "resolved": "https://registry.npmjs.org/parse5/-/parse5-7.1.2.tgz",
- "integrity": "sha512-Czj1WaSVpaoj0wbhMzLmWD69anp2WH7FXMB9n1Sy8/ZFF9jolSQVMu1Ij5WIyGmcBmhk7EOndpO4mIpihVqAXw==",
- "dependencies": {
- "entities": "^4.4.0"
- },
- "funding": {
- "url": "https://github.com/inikulin/parse5?sponsor=1"
- }
- },
- "node_modules/parse5/node_modules/entities": {
- "version": "4.5.0",
- "resolved": "https://registry.npmjs.org/entities/-/entities-4.5.0.tgz",
- "integrity": "sha512-V0hjH4dGPh9Ao5p0MoRY6BVqtwCjhz6vI5LT8AJ55H+4g9/4vbHx1I54fS0XuclLhDHArPQCiMjDxjaL8fPxhw==",
- "engines": {
- "node": ">=0.12"
- },
- "funding": {
- "url": "https://github.com/fb55/entities?sponsor=1"
- }
- },
- "node_modules/path-browserify": {
- "version": "1.0.1",
- "resolved": "https://registry.npmjs.org/path-browserify/-/path-browserify-1.0.1.tgz",
- "integrity": "sha512-b7uo2UCUOYZcnF/3ID0lulOJi/bafxa1xPe7ZPsammBSpjSWQkjNxlt635YGS2MiR9GjvuXCtz2emr3jbsz98g=="
- },
- "node_modules/path-exists": {
- "version": "4.0.0",
- "resolved": "https://registry.npmjs.org/path-exists/-/path-exists-4.0.0.tgz",
- "integrity": "sha512-ak9Qy5Q7jYb2Wwcey5Fpvg2KoAc/ZIhLSLOSBmRmygPsGwkVVt0fZa0qrtMz+m6tJTAHfZQ8FnmB4MG4LWy7/w==",
- "dev": true,
- "engines": {
- "node": ">=8"
- }
- },
- "node_modules/path-is-absolute": {
- "version": "1.0.1",
- "resolved": "https://registry.npmjs.org/path-is-absolute/-/path-is-absolute-1.0.1.tgz",
- "integrity": "sha512-AVbw3UJ2e9bq64vSaS9Am0fje1Pa8pbGqTTsmXfaIiMpnr5DlDhfJOuLj9Sf95ZPVDAUerDfEk88MPmPe7UCQg==",
- "devOptional": true,
- "engines": {
- "node": ">=0.10.0"
- }
- },
- "node_modules/path-key": {
- "version": "3.1.1",
- "resolved": "https://registry.npmjs.org/path-key/-/path-key-3.1.1.tgz",
- "integrity": "sha512-ojmeN0qd+y0jszEtoY48r0Peq5dwMEkIlCOu6Q5f41lfkswXuKtYrhgoTpLnyIcHm24Uhqx+5Tqm2InSwLhE6Q==",
- "engines": {
- "node": ">=8"
- }
- },
- "node_modules/path-parse": {
- "version": "1.0.7",
- "resolved": "https://registry.npmjs.org/path-parse/-/path-parse-1.0.7.tgz",
- "integrity": "sha512-LDJzPVEEEPR+y48z93A0Ed0yXb8pAByGWo/k5YYdYgpY2/2EsOsksJrq7lOHxryrVOn1ejG6oAp8ahvOIQD8sw=="
- },
- "node_modules/path-scurry": {
- "version": "1.11.1",
- "resolved": "https://registry.npmjs.org/path-scurry/-/path-scurry-1.11.1.tgz",
- "integrity": "sha512-Xa4Nw17FS9ApQFJ9umLiJS4orGjm7ZzwUrwamcGQuHSzDyth9boKDaycYdDcZDuqYATXw4HFXgaqWTctW/v1HA==",
- "dependencies": {
- "lru-cache": "^10.2.0",
- "minipass": "^5.0.0 || ^6.0.2 || ^7.0.0"
- },
- "engines": {
- "node": ">=16 || 14 >=14.18"
- },
- "funding": {
- "url": "https://github.com/sponsors/isaacs"
- }
- },
- "node_modules/path-scurry/node_modules/lru-cache": {
- "version": "10.2.2",
- "resolved": "https://registry.npmjs.org/lru-cache/-/lru-cache-10.2.2.tgz",
- "integrity": "sha512-9hp3Vp2/hFQUiIwKo8XCeFVnrg8Pk3TYNPIR7tJADKi5YfcF7vEaK7avFHTlSy3kOKYaJQaalfEo6YuXdceBOQ==",
- "engines": {
- "node": "14 || >=16.14"
- }
- },
- "node_modules/path-type": {
- "version": "4.0.0",
- "resolved": "https://registry.npmjs.org/path-type/-/path-type-4.0.0.tgz",
- "integrity": "sha512-gDKb8aZMDeD/tZWs9P6+q0J9Mwkdl6xMV8TjnGP3qJVJ06bdMgkbBlLU8IdfOsIsFz2BW1rNVT3XuNEl8zPAvw==",
- "engines": {
- "node": ">=8"
- }
- },
- "node_modules/path2d-polyfill": {
- "version": "2.0.1",
- "resolved": "https://registry.npmjs.org/path2d-polyfill/-/path2d-polyfill-2.0.1.tgz",
- "integrity": "sha512-ad/3bsalbbWhmBo0D6FZ4RNMwsLsPpL6gnvhuSaU5Vm7b06Kr5ubSltQQ0T7YKsiJQO+g22zJ4dJKNTXIyOXtA==",
- "optional": true,
- "engines": {
- "node": ">=8"
- }
- },
- "node_modules/pdfjs-dist": {
- "version": "3.11.174",
- "resolved": "https://registry.npmjs.org/pdfjs-dist/-/pdfjs-dist-3.11.174.tgz",
- "integrity": "sha512-TdTZPf1trZ8/UFu5Cx/GXB7GZM30LT+wWUNfsi6Bq8ePLnb+woNKtDymI2mxZYBpMbonNFqKmiz684DIfnd8dA==",
- "engines": {
- "node": ">=18"
- },
- "optionalDependencies": {
- "canvas": "^2.11.2",
- "path2d-polyfill": "^2.0.1"
- }
- },
- "node_modules/peek-readable": {
- "version": "5.0.0",
- "resolved": "https://registry.npmjs.org/peek-readable/-/peek-readable-5.0.0.tgz",
- "integrity": "sha512-YtCKvLUOvwtMGmrniQPdO7MwPjgkFBtFIrmfSbYmYuq3tKDV/mcfAhBth1+C3ru7uXIZasc/pHnb+YDYNkkj4A==",
- "dev": true,
- "engines": {
- "node": ">=14.16"
- },
- "funding": {
- "type": "github",
- "url": "https://github.com/sponsors/Borewit"
- }
- },
- "node_modules/picocolors": {
- "version": "1.0.1",
- "resolved": "https://registry.npmjs.org/picocolors/-/picocolors-1.0.1.tgz",
- "integrity": "sha512-anP1Z8qwhkbmu7MFP5iTt+wQKXgwzf7zTyGlcdzabySa9vd0Xt392U0rVmz9poOaBj0uHJKyyo9/upk0HrEQew=="
- },
- "node_modules/picomatch": {
- "version": "2.3.1",
- "resolved": "https://registry.npmjs.org/picomatch/-/picomatch-2.3.1.tgz",
- "integrity": "sha512-JU3teHTNjmE2VCGFzuY8EXzCDVwEqB2a8fsIvwaStHhAWJEeVd1o1QD80CU6+ZdEXXSLbSsuLwJjkCBWqRQUVA==",
- "engines": {
- "node": ">=8.6"
- },
- "funding": {
- "url": "https://github.com/sponsors/jonschlinkert"
- }
- },
- "node_modules/pify": {
- "version": "2.3.0",
- "resolved": "https://registry.npmjs.org/pify/-/pify-2.3.0.tgz",
- "integrity": "sha512-udgsAY+fTnvv7kI7aaxbqwWNb0AHiB0qBO89PZKPkoTmGOgdbrHDKD+0B2X4uTfJ/FT1R09r9gTsjUjNJotuog==",
- "engines": {
- "node": ">=0.10.0"
- }
- },
- "node_modules/pirates": {
- "version": "4.0.6",
- "resolved": "https://registry.npmjs.org/pirates/-/pirates-4.0.6.tgz",
- "integrity": "sha512-saLsH7WeYYPiD25LDuLRRY/i+6HaPYr6G1OUlN39otzkSTxKnubR9RTxS3/Kk50s1g2JTgFwWQDQyplC5/SHZg==",
- "engines": {
- "node": ">= 6"
- }
- },
- "node_modules/playwright": {
- "version": "1.44.0",
- "resolved": "https://registry.npmjs.org/playwright/-/playwright-1.44.0.tgz",
- "integrity": "sha512-F9b3GUCLQ3Nffrfb6dunPOkE5Mh68tR7zN32L4jCk4FjQamgesGay7/dAAe1WaMEGV04DkdJfcJzjoCKygUaRQ==",
- "dependencies": {
- "playwright-core": "1.44.0"
- },
- "bin": {
- "playwright": "cli.js"
- },
- "engines": {
- "node": ">=16"
- },
- "optionalDependencies": {
- "fsevents": "2.3.2"
- }
- },
- "node_modules/playwright-core": {
- "version": "1.44.0",
- "resolved": "https://registry.npmjs.org/playwright-core/-/playwright-core-1.44.0.tgz",
- "integrity": "sha512-ZTbkNpFfYcGWohvTTl+xewITm7EOuqIqex0c7dNZ+aXsbrLj0qI8XlGKfPpipjm0Wny/4Lt4CJsWJk1stVS5qQ==",
- "bin": {
- "playwright-core": "cli.js"
- },
- "engines": {
- "node": ">=16"
- }
- },
- "node_modules/possible-typed-array-names": {
- "version": "1.0.0",
- "resolved": "https://registry.npmjs.org/possible-typed-array-names/-/possible-typed-array-names-1.0.0.tgz",
- "integrity": "sha512-d7Uw+eZoloe0EHDIYoe+bQ5WXnGMOpmiZFTuMWCwpjzzkL2nTjcKiAk4hh8TjnGye2TwWOk3UXucZ+3rbmBa8Q==",
- "dev": true,
- "engines": {
- "node": ">= 0.4"
- }
- },
- "node_modules/postcss": {
- "version": "8.4.38",
- "resolved": "https://registry.npmjs.org/postcss/-/postcss-8.4.38.tgz",
- "integrity": "sha512-Wglpdk03BSfXkHoQa3b/oulrotAkwrlLDRSOb9D0bN86FdRyE9lppSp33aHNPgBa0JKCoB+drFLZkQoRRYae5A==",
- "funding": [
- {
- "type": "opencollective",
- "url": "https://opencollective.com/postcss/"
- },
- {
- "type": "tidelift",
- "url": "https://tidelift.com/funding/github/npm/postcss"
- },
- {
- "type": "github",
- "url": "https://github.com/sponsors/ai"
- }
- ],
- "dependencies": {
- "nanoid": "^3.3.7",
- "picocolors": "^1.0.0",
- "source-map-js": "^1.2.0"
- },
- "engines": {
- "node": "^10 || ^12 || >=14"
- }
- },
- "node_modules/postcss-import": {
- "version": "15.1.0",
- "resolved": "https://registry.npmjs.org/postcss-import/-/postcss-import-15.1.0.tgz",
- "integrity": "sha512-hpr+J05B2FVYUAXHeK1YyI267J/dDDhMU6B6civm8hSY1jYJnBXxzKDKDswzJmtLHryrjhnDjqqp/49t8FALew==",
- "dependencies": {
- "postcss-value-parser": "^4.0.0",
- "read-cache": "^1.0.0",
- "resolve": "^1.1.7"
- },
- "engines": {
- "node": ">=14.0.0"
- },
- "peerDependencies": {
- "postcss": "^8.0.0"
- }
- },
- "node_modules/postcss-js": {
- "version": "4.0.1",
- "resolved": "https://registry.npmjs.org/postcss-js/-/postcss-js-4.0.1.tgz",
- "integrity": "sha512-dDLF8pEO191hJMtlHFPRa8xsizHaM82MLfNkUHdUtVEV3tgTp5oj+8qbEqYM57SLfc74KSbw//4SeJma2LRVIw==",
- "dependencies": {
- "camelcase-css": "^2.0.1"
- },
- "engines": {
- "node": "^12 || ^14 || >= 16"
- },
- "funding": {
- "type": "opencollective",
- "url": "https://opencollective.com/postcss/"
- },
- "peerDependencies": {
- "postcss": "^8.4.21"
- }
- },
- "node_modules/postcss-load-config": {
- "version": "4.0.2",
- "resolved": "https://registry.npmjs.org/postcss-load-config/-/postcss-load-config-4.0.2.tgz",
- "integrity": "sha512-bSVhyJGL00wMVoPUzAVAnbEoWyqRxkjv64tUl427SKnPrENtq6hJwUojroMz2VB+Q1edmi4IfrAPpami5VVgMQ==",
- "funding": [
- {
- "type": "opencollective",
- "url": "https://opencollective.com/postcss/"
- },
- {
- "type": "github",
- "url": "https://github.com/sponsors/ai"
- }
- ],
- "dependencies": {
- "lilconfig": "^3.0.0",
- "yaml": "^2.3.4"
- },
- "engines": {
- "node": ">= 14"
- },
- "peerDependencies": {
- "postcss": ">=8.0.9",
- "ts-node": ">=9.0.0"
- },
- "peerDependenciesMeta": {
- "postcss": {
- "optional": true
- },
- "ts-node": {
- "optional": true
- }
- }
- },
- "node_modules/postcss-load-config/node_modules/lilconfig": {
- "version": "3.1.1",
- "resolved": "https://registry.npmjs.org/lilconfig/-/lilconfig-3.1.1.tgz",
- "integrity": "sha512-O18pf7nyvHTckunPWCV1XUNXU1piu01y2b7ATJ0ppkUkk8ocqVWBrYjJBCwHDjD/ZWcfyrA0P4gKhzWGi5EINQ==",
- "engines": {
- "node": ">=14"
- },
- "funding": {
- "url": "https://github.com/sponsors/antonk52"
- }
- },
- "node_modules/postcss-nested": {
- "version": "6.0.1",
- "resolved": "https://registry.npmjs.org/postcss-nested/-/postcss-nested-6.0.1.tgz",
- "integrity": "sha512-mEp4xPMi5bSWiMbsgoPfcP74lsWLHkQbZc3sY+jWYd65CUwXrUaTp0fmNpa01ZcETKlIgUdFN/MpS2xZtqL9dQ==",
- "dependencies": {
- "postcss-selector-parser": "^6.0.11"
- },
- "engines": {
- "node": ">=12.0"
- },
- "funding": {
- "type": "opencollective",
- "url": "https://opencollective.com/postcss/"
- },
- "peerDependencies": {
- "postcss": "^8.2.14"
- }
- },
- "node_modules/postcss-nested/node_modules/postcss-selector-parser": {
- "version": "6.1.0",
- "resolved": "https://registry.npmjs.org/postcss-selector-parser/-/postcss-selector-parser-6.1.0.tgz",
- "integrity": "sha512-UMz42UD0UY0EApS0ZL9o1XnLhSTtvvvLe5Dc2H2O56fvRZi+KulDyf5ctDhhtYJBGKStV2FL1fy6253cmLgqVQ==",
- "dependencies": {
- "cssesc": "^3.0.0",
- "util-deprecate": "^1.0.2"
- },
- "engines": {
- "node": ">=4"
- }
- },
- "node_modules/postcss-selector-parser": {
- "version": "6.0.10",
- "resolved": "https://registry.npmjs.org/postcss-selector-parser/-/postcss-selector-parser-6.0.10.tgz",
- "integrity": "sha512-IQ7TZdoaqbT+LCpShg46jnZVlhWD2w6iQYAcYXfHARZ7X1t/UGhhceQDs5X0cGqKvYlHNOuv7Oa1xmb0oQuA3w==",
- "dev": true,
- "dependencies": {
- "cssesc": "^3.0.0",
- "util-deprecate": "^1.0.2"
- },
- "engines": {
- "node": ">=4"
- }
- },
- "node_modules/postcss-value-parser": {
- "version": "4.2.0",
- "resolved": "https://registry.npmjs.org/postcss-value-parser/-/postcss-value-parser-4.2.0.tgz",
- "integrity": "sha512-1NNCs6uurfkVbeXG4S8JFT9t19m45ICnif8zWLd5oPSZ50QnwMfK+H3jv408d4jw/7Bttv5axS5IiHoLaVNHeQ=="
- },
- "node_modules/posthog-node": {
- "version": "3.6.3",
- "resolved": "https://registry.npmjs.org/posthog-node/-/posthog-node-3.6.3.tgz",
- "integrity": "sha512-JB+ei0LkwE+rKHyW5z79Nd1jUaGxU6TvkfjFqY9vQaHxU5aU8dRl0UUaEmZdZbHwjp3WmXCBQQRNyimwbNQfCw==",
- "dependencies": {
- "axios": "^1.6.2",
- "rusha": "^0.8.14"
- },
- "engines": {
- "node": ">=15.0.0"
- }
- },
- "node_modules/prelude-ls": {
- "version": "1.2.1",
- "resolved": "https://registry.npmjs.org/prelude-ls/-/prelude-ls-1.2.1.tgz",
- "integrity": "sha512-vkcDPrRZo1QZLbn5RLGPpg/WmIQ65qoWWhcGKf/b5eplkkarX0m9z8ppCat4mlOqUsWpyNuYgO3VRyrYHSzX5g==",
- "dev": true,
- "engines": {
- "node": ">= 0.8.0"
- }
- },
- "node_modules/prettier": {
- "version": "2.8.8",
- "resolved": "https://registry.npmjs.org/prettier/-/prettier-2.8.8.tgz",
- "integrity": "sha512-tdN8qQGvNjw4CHbY+XXk0JgCXn9QiF21a55rBe5LJAU+kDyC4WQn4+awm2Xfk2lQMk5fKup9XgzTZtGkjBdP9Q==",
- "dev": true,
- "bin": {
- "prettier": "bin-prettier.js"
- },
- "engines": {
- "node": ">=10.13.0"
- },
- "funding": {
- "url": "https://github.com/prettier/prettier?sponsor=1"
- }
- },
- "node_modules/prettier-plugin-organize-imports": {
- "version": "3.2.4",
- "resolved": "https://registry.npmjs.org/prettier-plugin-organize-imports/-/prettier-plugin-organize-imports-3.2.4.tgz",
- "integrity": "sha512-6m8WBhIp0dfwu0SkgfOxJqh+HpdyfqSSLfKKRZSFbDuEQXDDndb8fTpRWkUrX/uBenkex3MgnVk0J3b3Y5byog==",
- "dev": true,
- "peerDependencies": {
- "@volar/vue-language-plugin-pug": "^1.0.4",
- "@volar/vue-typescript": "^1.0.4",
- "prettier": ">=2.0",
- "typescript": ">=2.9"
- },
- "peerDependenciesMeta": {
- "@volar/vue-language-plugin-pug": {
- "optional": true
- },
- "@volar/vue-typescript": {
- "optional": true
- }
- }
- },
- "node_modules/prettier-plugin-tailwindcss": {
- "version": "0.3.0",
- "resolved": "https://registry.npmjs.org/prettier-plugin-tailwindcss/-/prettier-plugin-tailwindcss-0.3.0.tgz",
- "integrity": "sha512-009/Xqdy7UmkcTBpwlq7jsViDqXAYSOMLDrHAdTMlVZOrKfM2o9Ci7EMWTMZ7SkKBFTG04UM9F9iM2+4i6boDA==",
- "dev": true,
- "engines": {
- "node": ">=12.17.0"
- },
- "peerDependencies": {
- "@ianvs/prettier-plugin-sort-imports": "*",
- "@prettier/plugin-pug": "*",
- "@shopify/prettier-plugin-liquid": "*",
- "@shufo/prettier-plugin-blade": "*",
- "@trivago/prettier-plugin-sort-imports": "*",
- "prettier": ">=2.2.0",
- "prettier-plugin-astro": "*",
- "prettier-plugin-css-order": "*",
- "prettier-plugin-import-sort": "*",
- "prettier-plugin-jsdoc": "*",
- "prettier-plugin-marko": "*",
- "prettier-plugin-organize-attributes": "*",
- "prettier-plugin-organize-imports": "*",
- "prettier-plugin-style-order": "*",
- "prettier-plugin-svelte": "*",
- "prettier-plugin-twig-melody": "*"
- },
- "peerDependenciesMeta": {
- "@ianvs/prettier-plugin-sort-imports": {
- "optional": true
- },
- "@prettier/plugin-pug": {
- "optional": true
- },
- "@shopify/prettier-plugin-liquid": {
- "optional": true
- },
- "@shufo/prettier-plugin-blade": {
- "optional": true
- },
- "@trivago/prettier-plugin-sort-imports": {
- "optional": true
- },
- "prettier-plugin-astro": {
- "optional": true
- },
- "prettier-plugin-css-order": {
- "optional": true
- },
- "prettier-plugin-import-sort": {
- "optional": true
- },
- "prettier-plugin-jsdoc": {
- "optional": true
- },
- "prettier-plugin-marko": {
- "optional": true
- },
- "prettier-plugin-organize-attributes": {
- "optional": true
- },
- "prettier-plugin-organize-imports": {
- "optional": true
- },
- "prettier-plugin-style-order": {
- "optional": true
- },
- "prettier-plugin-svelte": {
- "optional": true
- },
- "prettier-plugin-twig-melody": {
- "optional": true
- }
- }
- },
- "node_modules/pretty-format": {
- "version": "27.5.1",
- "resolved": "https://registry.npmjs.org/pretty-format/-/pretty-format-27.5.1.tgz",
- "integrity": "sha512-Qb1gy5OrP5+zDf2Bvnzdl3jsTf1qXVMazbvCoKhtKqVs4/YK4ozX4gKQJJVyNe+cajNPn0KoC0MC3FUmaHWEmQ==",
- "dev": true,
- "dependencies": {
- "ansi-regex": "^5.0.1",
- "ansi-styles": "^5.0.0",
- "react-is": "^17.0.1"
- },
- "engines": {
- "node": "^10.13.0 || ^12.13.0 || ^14.15.0 || >=15.0.0"
- }
- },
- "node_modules/pretty-format/node_modules/ansi-styles": {
- "version": "5.2.0",
- "resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-5.2.0.tgz",
- "integrity": "sha512-Cxwpt2SfTzTtXcfOlzGEee8O+c+MmUgGrNiBcXnuWxuFJHe6a5Hz7qwhwe5OgaSYI0IJvkLqWX1ASG+cJOkEiA==",
- "dev": true,
- "engines": {
- "node": ">=10"
- },
- "funding": {
- "url": "https://github.com/chalk/ansi-styles?sponsor=1"
- }
- },
- "node_modules/pretty-quick": {
- "version": "3.3.1",
- "resolved": "https://registry.npmjs.org/pretty-quick/-/pretty-quick-3.3.1.tgz",
- "integrity": "sha512-3b36UXfYQ+IXXqex6mCca89jC8u0mYLqFAN5eTQKoXO6oCQYcIVYZEB/5AlBHI7JPYygReM2Vv6Vom/Gln7fBg==",
- "dev": true,
- "dependencies": {
- "execa": "^4.1.0",
- "find-up": "^4.1.0",
- "ignore": "^5.3.0",
- "mri": "^1.2.0",
- "picocolors": "^1.0.0",
- "picomatch": "^3.0.1",
- "tslib": "^2.6.2"
- },
- "bin": {
- "pretty-quick": "dist/cli.js"
- },
- "engines": {
- "node": ">=10.13"
- },
- "peerDependencies": {
- "prettier": "^2.0.0"
- }
- },
- "node_modules/pretty-quick/node_modules/execa": {
- "version": "4.1.0",
- "resolved": "https://registry.npmjs.org/execa/-/execa-4.1.0.tgz",
- "integrity": "sha512-j5W0//W7f8UxAn8hXVnwG8tLwdiUy4FJLcSupCg6maBYZDpyBvTApK7KyuI4bKj8KOh1r2YH+6ucuYtJv1bTZA==",
- "dev": true,
- "dependencies": {
- "cross-spawn": "^7.0.0",
- "get-stream": "^5.0.0",
- "human-signals": "^1.1.1",
- "is-stream": "^2.0.0",
- "merge-stream": "^2.0.0",
- "npm-run-path": "^4.0.0",
- "onetime": "^5.1.0",
- "signal-exit": "^3.0.2",
- "strip-final-newline": "^2.0.0"
- },
- "engines": {
- "node": ">=10"
- },
- "funding": {
- "url": "https://github.com/sindresorhus/execa?sponsor=1"
- }
- },
- "node_modules/pretty-quick/node_modules/find-up": {
- "version": "4.1.0",
- "resolved": "https://registry.npmjs.org/find-up/-/find-up-4.1.0.tgz",
- "integrity": "sha512-PpOwAdQ/YlXQ2vj8a3h8IipDuYRi3wceVQQGYWxNINccq40Anw7BlsEXCMbt1Zt+OLA6Fq9suIpIWD0OsnISlw==",
- "dev": true,
- "dependencies": {
- "locate-path": "^5.0.0",
- "path-exists": "^4.0.0"
- },
- "engines": {
- "node": ">=8"
- }
- },
- "node_modules/pretty-quick/node_modules/get-stream": {
- "version": "5.2.0",
- "resolved": "https://registry.npmjs.org/get-stream/-/get-stream-5.2.0.tgz",
- "integrity": "sha512-nBF+F1rAZVCu/p7rjzgA+Yb4lfYXrpl7a6VmJrU8wF9I1CKvP/QwPNZHnOlwbTkY6dvtFIzFMSyQXbLoTQPRpA==",
- "dev": true,
- "dependencies": {
- "pump": "^3.0.0"
- },
- "engines": {
- "node": ">=8"
- },
- "funding": {
- "url": "https://github.com/sponsors/sindresorhus"
- }
- },
- "node_modules/pretty-quick/node_modules/human-signals": {
- "version": "1.1.1",
- "resolved": "https://registry.npmjs.org/human-signals/-/human-signals-1.1.1.tgz",
- "integrity": "sha512-SEQu7vl8KjNL2eoGBLF3+wAjpsNfA9XMlXAYj/3EdaNfAlxKthD1xjEQfGOUhllCGGJVNY34bRr6lPINhNjyZw==",
- "dev": true,
- "engines": {
- "node": ">=8.12.0"
- }
- },
- "node_modules/pretty-quick/node_modules/is-stream": {
- "version": "2.0.1",
- "resolved": "https://registry.npmjs.org/is-stream/-/is-stream-2.0.1.tgz",
- "integrity": "sha512-hFoiJiTl63nn+kstHGBtewWSKnQLpyb155KHheA1l39uvtO9nWIop1p3udqPcUd/xbF1VLMO4n7OI6p7RbngDg==",
- "dev": true,
- "engines": {
- "node": ">=8"
- },
- "funding": {
- "url": "https://github.com/sponsors/sindresorhus"
- }
- },
- "node_modules/pretty-quick/node_modules/locate-path": {
- "version": "5.0.0",
- "resolved": "https://registry.npmjs.org/locate-path/-/locate-path-5.0.0.tgz",
- "integrity": "sha512-t7hw9pI+WvuwNJXwk5zVHpyhIqzg2qTlklJOf0mVxGSbe3Fp2VieZcduNYjaLDoy6p9uGpQEGWG87WpMKlNq8g==",
- "dev": true,
- "dependencies": {
- "p-locate": "^4.1.0"
- },
- "engines": {
- "node": ">=8"
- }
- },
- "node_modules/pretty-quick/node_modules/npm-run-path": {
- "version": "4.0.1",
- "resolved": "https://registry.npmjs.org/npm-run-path/-/npm-run-path-4.0.1.tgz",
- "integrity": "sha512-S48WzZW777zhNIrn7gxOlISNAqi9ZC/uQFnRdbeIHhZhCA6UqpkOT8T1G7BvfdgP4Er8gF4sUbaS0i7QvIfCWw==",
- "dev": true,
- "dependencies": {
- "path-key": "^3.0.0"
- },
- "engines": {
- "node": ">=8"
- }
- },
- "node_modules/pretty-quick/node_modules/p-limit": {
- "version": "2.3.0",
- "resolved": "https://registry.npmjs.org/p-limit/-/p-limit-2.3.0.tgz",
- "integrity": "sha512-//88mFWSJx8lxCzwdAABTJL2MyWB12+eIY7MDL2SqLmAkeKU9qxRvWuSyTjm3FUmpBEMuFfckAIqEaVGUDxb6w==",
- "dev": true,
- "dependencies": {
- "p-try": "^2.0.0"
- },
- "engines": {
- "node": ">=6"
- },
- "funding": {
- "url": "https://github.com/sponsors/sindresorhus"
- }
- },
- "node_modules/pretty-quick/node_modules/p-locate": {
- "version": "4.1.0",
- "resolved": "https://registry.npmjs.org/p-locate/-/p-locate-4.1.0.tgz",
- "integrity": "sha512-R79ZZ/0wAxKGu3oYMlz8jy/kbhsNrS7SKZ7PxEHBgJ5+F2mtFW2fK2cOtBh1cHYkQsbzFV7I+EoRKe6Yt0oK7A==",
- "dev": true,
- "dependencies": {
- "p-limit": "^2.2.0"
- },
- "engines": {
- "node": ">=8"
- }
- },
- "node_modules/pretty-quick/node_modules/picomatch": {
- "version": "3.0.1",
- "resolved": "https://registry.npmjs.org/picomatch/-/picomatch-3.0.1.tgz",
- "integrity": "sha512-I3EurrIQMlRc9IaAZnqRR044Phh2DXY+55o7uJ0V+hYZAcQYSuFWsc9q5PvyDHUSCe1Qxn/iBz+78s86zWnGag==",
- "dev": true,
- "engines": {
- "node": ">=10"
- },
- "funding": {
- "url": "https://github.com/sponsors/jonschlinkert"
- }
- },
- "node_modules/prismjs": {
- "version": "1.29.0",
- "resolved": "https://registry.npmjs.org/prismjs/-/prismjs-1.29.0.tgz",
- "integrity": "sha512-Kx/1w86q/epKcmte75LNrEoT+lX8pBpavuAbvJWRXar7Hz8jrtF+e3vY751p0R8H9HdArwaCTNDDzHg/ScJK1Q==",
- "engines": {
- "node": ">=6"
- }
- },
- "node_modules/prompts": {
- "version": "2.4.2",
- "resolved": "https://registry.npmjs.org/prompts/-/prompts-2.4.2.tgz",
- "integrity": "sha512-NxNv/kLguCA7p3jE8oL2aEBsrJWgAakBpgmgK6lpPWV+WuOmY6r2/zbAVnP+T8bQlA0nzHXSJSJW0Hq7ylaD2Q==",
- "dependencies": {
- "kleur": "^3.0.3",
- "sisteransi": "^1.0.5"
- },
- "engines": {
- "node": ">= 6"
- }
- },
- "node_modules/prompts/node_modules/kleur": {
- "version": "3.0.3",
- "resolved": "https://registry.npmjs.org/kleur/-/kleur-3.0.3.tgz",
- "integrity": "sha512-eTIzlVOSUR+JxdDFepEYcBMtZ9Qqdef+rnzWdRZuMbOywu5tO2w2N7rqjoANZ5k9vywhL6Br1VRjUIgTQx4E8w==",
- "engines": {
- "node": ">=6"
- }
- },
- "node_modules/prop-types": {
- "version": "15.8.1",
- "resolved": "https://registry.npmjs.org/prop-types/-/prop-types-15.8.1.tgz",
- "integrity": "sha512-oj87CgZICdulUohogVAR7AjlC0327U4el4L6eAvOqCeudMDVU0NThNaV+b9Df4dXgSP1gXMTnPdhfe/2qDH5cg==",
- "dependencies": {
- "loose-envify": "^1.4.0",
- "object-assign": "^4.1.1",
- "react-is": "^16.13.1"
- }
- },
- "node_modules/prop-types/node_modules/react-is": {
- "version": "16.13.1",
- "resolved": "https://registry.npmjs.org/react-is/-/react-is-16.13.1.tgz",
- "integrity": "sha512-24e6ynE2H+OKt4kqsOvNd8kBpV65zoxbA4BVsEOB3ARVWQki/DHzaUoC5KuON/BiccDaCCTZBuOcfZs70kR8bQ=="
- },
- "node_modules/property-information": {
- "version": "6.5.0",
- "resolved": "https://registry.npmjs.org/property-information/-/property-information-6.5.0.tgz",
- "integrity": "sha512-PgTgs/BlvHxOu8QuEN7wi5A0OmXaBcHpmCSTehcs6Uuu9IkDIEo13Hy7n898RHfrQ49vKCoGeWZSaAK01nwVig==",
- "funding": {
- "type": "github",
- "url": "https://github.com/sponsors/wooorm"
- }
- },
- "node_modules/proxy-from-env": {
- "version": "1.1.0",
- "resolved": "https://registry.npmjs.org/proxy-from-env/-/proxy-from-env-1.1.0.tgz",
- "integrity": "sha512-D+zkORCbA9f1tdWRK0RaCR3GPv50cMxcrz4X8k5LTSUD1Dkw47mKJEZQNunItRTkWwgtaUSo1RVFRIG9ZXiFYg=="
- },
- "node_modules/pseudomap": {
- "version": "1.0.2",
- "resolved": "https://registry.npmjs.org/pseudomap/-/pseudomap-1.0.2.tgz",
- "integrity": "sha512-b/YwNhb8lk1Zz2+bXXpS/LK9OisiZZ1SNsSLxN1x2OXVEhW2Ckr/7mWE5vrC1ZTiJlD9g19jWszTmJsB+oEpFQ==",
- "dev": true
- },
- "node_modules/psl": {
- "version": "1.9.0",
- "resolved": "https://registry.npmjs.org/psl/-/psl-1.9.0.tgz",
- "integrity": "sha512-E/ZsdU4HLs/68gYzgGTkMicWTLPdAftJLfJFlLUAAKZGkStNU72sZjT66SnMDVOfOWY/YAoiD7Jxa9iHvngcag=="
- },
- "node_modules/pump": {
- "version": "3.0.0",
- "resolved": "https://registry.npmjs.org/pump/-/pump-3.0.0.tgz",
- "integrity": "sha512-LwZy+p3SFs1Pytd/jYct4wpv49HiYCqd9Rlc5ZVdk0V+8Yzv6jR5Blk3TRmPL1ft69TxP0IMZGJ+WPFU2BFhww==",
- "dev": true,
- "dependencies": {
- "end-of-stream": "^1.1.0",
- "once": "^1.3.1"
- }
- },
- "node_modules/punycode": {
- "version": "2.3.1",
- "resolved": "https://registry.npmjs.org/punycode/-/punycode-2.3.1.tgz",
- "integrity": "sha512-vYt7UD1U9Wg6138shLtLOvdAu+8DsC/ilFtEVHcH+wydcSpNE20AfSOduf6MkRFahL5FY7X1oU7nKVZFtfq8Fg==",
- "engines": {
- "node": ">=6"
- }
- },
- "node_modules/querystringify": {
- "version": "2.2.0",
- "resolved": "https://registry.npmjs.org/querystringify/-/querystringify-2.2.0.tgz",
- "integrity": "sha512-FIqgj2EUvTa7R50u0rGsyTftzjYmv/a3hO345bZNrqabNqjtgiDMgmo4mkUjd+nzU5oF3dClKqFIPUKybUyqoQ=="
- },
- "node_modules/queue-microtask": {
- "version": "1.2.3",
- "resolved": "https://registry.npmjs.org/queue-microtask/-/queue-microtask-1.2.3.tgz",
- "integrity": "sha512-NuaNSa6flKT5JaSYQzJok04JzTL1CA6aGhv5rfLW3PgqA+M2ChpZQnAC8h8i4ZFkBS8X5RqkDBHA7r4hej3K9A==",
- "funding": [
- {
- "type": "github",
- "url": "https://github.com/sponsors/feross"
- },
- {
- "type": "patreon",
- "url": "https://www.patreon.com/feross"
- },
- {
- "type": "consulting",
- "url": "https://feross.org/support"
- }
- ]
- },
- "node_modules/quick-lru": {
- "version": "5.1.1",
- "resolved": "https://registry.npmjs.org/quick-lru/-/quick-lru-5.1.1.tgz",
- "integrity": "sha512-WuyALRjWPDGtt/wzJiadO5AXY+8hZ80hVpe6MyivgraREW751X3SbhRvG3eLKOYN+8VEvqLcf3wdnt44Z4S4SA==",
- "dev": true,
- "engines": {
- "node": ">=10"
- },
- "funding": {
- "url": "https://github.com/sponsors/sindresorhus"
- }
- },
- "node_modules/react": {
- "version": "18.3.1",
- "resolved": "https://registry.npmjs.org/react/-/react-18.3.1.tgz",
- "integrity": "sha512-wS+hAgJShR0KhEvPJArfuPVN1+Hz1t0Y6n5jLrGQbkb4urgPE/0Rve+1kMB1v/oWgHgm4WIcV+i7F2pTVj+2iQ==",
- "dependencies": {
- "loose-envify": "^1.1.0"
- },
- "engines": {
- "node": ">=0.10.0"
- }
- },
- "node_modules/react-ace": {
- "version": "10.1.0",
- "resolved": "https://registry.npmjs.org/react-ace/-/react-ace-10.1.0.tgz",
- "integrity": "sha512-VkvUjZNhdYTuKOKQpMIZi7uzZZVgzCjM7cLYu6F64V0mejY8a2XTyPUIMszC6A4trbeMIHbK5fYFcT/wkP/8VA==",
- "dependencies": {
- "ace-builds": "^1.4.14",
- "diff-match-patch": "^1.0.5",
- "lodash.get": "^4.4.2",
- "lodash.isequal": "^4.5.0",
- "prop-types": "^15.7.2"
- },
- "peerDependencies": {
- "react": "^0.13.0 || ^0.14.0 || ^15.0.1 || ^16.0.0 || ^17.0.0 || ^18.0.0",
- "react-dom": "^0.13.0 || ^0.14.0 || ^15.0.1 || ^16.0.0 || ^17.0.0 || ^18.0.0"
- }
- },
- "node_modules/react-cookie": {
- "version": "4.1.1",
- "resolved": "https://registry.npmjs.org/react-cookie/-/react-cookie-4.1.1.tgz",
- "integrity": "sha512-ffn7Y7G4bXiFbnE+dKhHhbP+b8I34mH9jqnm8Llhj89zF4nPxPutxHT1suUqMeCEhLDBI7InYwf1tpaSoK5w8A==",
- "dependencies": {
- "@types/hoist-non-react-statics": "^3.0.1",
- "hoist-non-react-statics": "^3.0.0",
- "universal-cookie": "^4.0.0"
- },
- "peerDependencies": {
- "react": ">= 16.3.0"
- }
- },
- "node_modules/react-dom": {
- "version": "18.3.1",
- "resolved": "https://registry.npmjs.org/react-dom/-/react-dom-18.3.1.tgz",
- "integrity": "sha512-5m4nQKp+rZRb09LNH59GM4BxTh9251/ylbKIbpe7TpGxfJ+9kv6BLkLBXIjjspbgbnIBNqlI23tRnTWT0snUIw==",
- "dependencies": {
- "loose-envify": "^1.1.0",
- "scheduler": "^0.23.2"
- },
- "peerDependencies": {
- "react": "^18.3.1"
- }
- },
- "node_modules/react-draggable": {
- "version": "4.4.6",
- "resolved": "https://registry.npmjs.org/react-draggable/-/react-draggable-4.4.6.tgz",
- "integrity": "sha512-LtY5Xw1zTPqHkVmtM3X8MUOxNDOUhv/khTgBgrUvwaS064bwVvxT+q5El0uUFNx5IEPKXuRejr7UqLwBIg5pdw==",
- "dependencies": {
- "clsx": "^1.1.1",
- "prop-types": "^15.8.1"
- },
- "peerDependencies": {
- "react": ">= 16.3.0",
- "react-dom": ">= 16.3.0"
- }
- },
- "node_modules/react-error-boundary": {
- "version": "4.0.13",
- "resolved": "https://registry.npmjs.org/react-error-boundary/-/react-error-boundary-4.0.13.tgz",
- "integrity": "sha512-b6PwbdSv8XeOSYvjt8LpgpKrZ0yGdtZokYwkwV2wlcZbxgopHX/hgPl5VgpnoVOWd868n1hktM8Qm4b+02MiLQ==",
- "dependencies": {
- "@babel/runtime": "^7.12.5"
- },
- "peerDependencies": {
- "react": ">=16.13.1"
- }
- },
- "node_modules/react-hook-form": {
- "version": "7.51.5",
- "resolved": "https://registry.npmjs.org/react-hook-form/-/react-hook-form-7.51.5.tgz",
- "integrity": "sha512-J2ILT5gWx1XUIJRETiA7M19iXHlG74+6O3KApzvqB/w8S5NQR7AbU8HVZrMALdmDgWpRPYiZJl0zx8Z4L2mP6Q==",
- "engines": {
- "node": ">=12.22.0"
- },
- "funding": {
- "type": "opencollective",
- "url": "https://opencollective.com/react-hook-form"
- },
- "peerDependencies": {
- "react": "^16.8.0 || ^17 || ^18"
- }
- },
- "node_modules/react-hotkeys-hook": {
- "version": "4.5.0",
- "resolved": "https://registry.npmjs.org/react-hotkeys-hook/-/react-hotkeys-hook-4.5.0.tgz",
- "integrity": "sha512-Samb85GSgAWFQNvVt3PS90LPPGSf9mkH/r4au81ZP1yOIFayLC3QAvqTgGtJ8YEDMXtPmaVBs6NgipHO6h4Mug==",
- "peerDependencies": {
- "react": ">=16.8.1",
- "react-dom": ">=16.8.1"
- }
- },
- "node_modules/react-icons": {
- "version": "5.2.1",
- "resolved": "https://registry.npmjs.org/react-icons/-/react-icons-5.2.1.tgz",
- "integrity": "sha512-zdbW5GstTzXaVKvGSyTaBalt7HSfuK5ovrzlpyiWHAFXndXTdd/1hdDHI4xBM1Mn7YriT6aqESucFl9kEXzrdw==",
- "peerDependencies": {
- "react": "*"
- }
- },
- "node_modules/react-is": {
- "version": "17.0.2",
- "resolved": "https://registry.npmjs.org/react-is/-/react-is-17.0.2.tgz",
- "integrity": "sha512-w2GsyukL62IJnlaff/nRegPQR94C/XXamvMWmSHRJ4y7Ts/4ocGRmTHvOs8PSE6pB3dWOrD/nueuU5sduBsQ4w==",
- "dev": true
- },
- "node_modules/react-laag": {
- "version": "2.0.5",
- "resolved": "https://registry.npmjs.org/react-laag/-/react-laag-2.0.5.tgz",
- "integrity": "sha512-RCvublJhdcgGRHU1wMYJ8kRtnYsKUgYusLvVhMuftg65POnnOB4+fwXvnETm6adc0cMnc1spujlrK6bGIz6aug==",
- "dependencies": {
- "tiny-warning": "^1.0.3"
- },
- "peerDependencies": {
- "react": "^16.0.0 || ^17.0.0 || ^18.0.0",
- "react-dom": "^16.0.0 || ^17.0.0 || ^18.0.0"
- }
- },
- "node_modules/react-markdown": {
- "version": "8.0.7",
- "resolved": "https://registry.npmjs.org/react-markdown/-/react-markdown-8.0.7.tgz",
- "integrity": "sha512-bvWbzG4MtOU62XqBx3Xx+zB2raaFFsq4mYiAzfjXJMEz2sixgeAfraA3tvzULF02ZdOMUOKTBFFaZJDDrq+BJQ==",
- "dependencies": {
- "@types/hast": "^2.0.0",
- "@types/prop-types": "^15.0.0",
- "@types/unist": "^2.0.0",
- "comma-separated-tokens": "^2.0.0",
- "hast-util-whitespace": "^2.0.0",
- "prop-types": "^15.0.0",
- "property-information": "^6.0.0",
- "react-is": "^18.0.0",
- "remark-parse": "^10.0.0",
- "remark-rehype": "^10.0.0",
- "space-separated-tokens": "^2.0.0",
- "style-to-object": "^0.4.0",
- "unified": "^10.0.0",
- "unist-util-visit": "^4.0.0",
- "vfile": "^5.0.0"
- },
- "funding": {
- "type": "opencollective",
- "url": "https://opencollective.com/unified"
- },
- "peerDependencies": {
- "@types/react": ">=16",
- "react": ">=16"
- }
- },
- "node_modules/react-markdown/node_modules/react-is": {
- "version": "18.3.1",
- "resolved": "https://registry.npmjs.org/react-is/-/react-is-18.3.1.tgz",
- "integrity": "sha512-/LLMVyas0ljjAtoYiPqYiL8VWXzUUdThrmU5+n20DZv+a+ClRoevUzw5JxU+Ieh5/c87ytoTBV9G1FiKfNJdmg=="
- },
- "node_modules/react-pdf": {
- "version": "7.7.3",
- "resolved": "https://registry.npmjs.org/react-pdf/-/react-pdf-7.7.3.tgz",
- "integrity": "sha512-a2VfDl8hiGjugpqezBTUzJHYLNB7IS7a2t7GD52xMI9xHg8LdVaTMsnM9ZlNmKadnStT/tvX5IfV0yLn+JvYmw==",
- "dependencies": {
- "clsx": "^2.0.0",
- "dequal": "^2.0.3",
- "make-cancellable-promise": "^1.3.1",
- "make-event-props": "^1.6.0",
- "merge-refs": "^1.2.1",
- "pdfjs-dist": "3.11.174",
- "prop-types": "^15.6.2",
- "tiny-invariant": "^1.0.0",
- "warning": "^4.0.0"
- },
- "funding": {
- "url": "https://github.com/wojtekmaj/react-pdf?sponsor=1"
- },
- "peerDependencies": {
- "@types/react": "^16.8.0 || ^17.0.0 || ^18.0.0",
- "react": "^16.8.0 || ^17.0.0 || ^18.0.0",
- "react-dom": "^16.8.0 || ^17.0.0 || ^18.0.0"
- },
- "peerDependenciesMeta": {
- "@types/react": {
- "optional": true
- }
- }
- },
- "node_modules/react-pdf/node_modules/clsx": {
- "version": "2.1.1",
- "resolved": "https://registry.npmjs.org/clsx/-/clsx-2.1.1.tgz",
- "integrity": "sha512-eYm0QWBtUrBWZWG0d386OGAw16Z995PiOVo2B7bjWSbHedGl5e0ZWaq65kOGgUSNesEIDkB9ISbTg/JK9dhCZA==",
- "engines": {
- "node": ">=6"
- }
- },
- "node_modules/react-reconciler": {
- "version": "0.29.2",
- "resolved": "https://registry.npmjs.org/react-reconciler/-/react-reconciler-0.29.2.tgz",
- "integrity": "sha512-zZQqIiYgDCTP/f1N/mAR10nJGrPD2ZR+jDSEsKWJHYC7Cm2wodlwbR3upZRdC3cjIjSlTLNVyO7Iu0Yy7t2AYg==",
- "dependencies": {
- "loose-envify": "^1.1.0",
- "scheduler": "^0.23.2"
- },
- "engines": {
- "node": ">=0.10.0"
- },
- "peerDependencies": {
- "react": "^18.3.1"
- }
- },
- "node_modules/react-remove-scroll": {
- "version": "2.5.5",
- "resolved": "https://registry.npmjs.org/react-remove-scroll/-/react-remove-scroll-2.5.5.tgz",
- "integrity": "sha512-ImKhrzJJsyXJfBZ4bzu8Bwpka14c/fQt0k+cyFp/PBhTfyDnU5hjOtM4AG/0AMyy8oKzOTR0lDgJIM7pYXI0kw==",
- "dependencies": {
- "react-remove-scroll-bar": "^2.3.3",
- "react-style-singleton": "^2.2.1",
- "tslib": "^2.1.0",
- "use-callback-ref": "^1.3.0",
- "use-sidecar": "^1.1.2"
- },
- "engines": {
- "node": ">=10"
- },
- "peerDependencies": {
- "@types/react": "^16.8.0 || ^17.0.0 || ^18.0.0",
- "react": "^16.8.0 || ^17.0.0 || ^18.0.0"
- },
- "peerDependenciesMeta": {
- "@types/react": {
- "optional": true
- }
- }
- },
- "node_modules/react-remove-scroll-bar": {
- "version": "2.3.6",
- "resolved": "https://registry.npmjs.org/react-remove-scroll-bar/-/react-remove-scroll-bar-2.3.6.tgz",
- "integrity": "sha512-DtSYaao4mBmX+HDo5YWYdBWQwYIQQshUV/dVxFxK+KM26Wjwp1gZ6rv6OC3oujI6Bfu6Xyg3TwK533AQutsn/g==",
- "dependencies": {
- "react-style-singleton": "^2.2.1",
- "tslib": "^2.0.0"
- },
- "engines": {
- "node": ">=10"
- },
- "peerDependencies": {
- "@types/react": "^16.8.0 || ^17.0.0 || ^18.0.0",
- "react": "^16.8.0 || ^17.0.0 || ^18.0.0"
- },
- "peerDependenciesMeta": {
- "@types/react": {
- "optional": true
- }
- }
- },
- "node_modules/react-router": {
- "version": "6.23.1",
- "resolved": "https://registry.npmjs.org/react-router/-/react-router-6.23.1.tgz",
- "integrity": "sha512-fzcOaRF69uvqbbM7OhvQyBTFDVrrGlsFdS3AL+1KfIBtGETibHzi3FkoTRyiDJnWNc2VxrfvR+657ROHjaNjqQ==",
- "dependencies": {
- "@remix-run/router": "1.16.1"
- },
- "engines": {
- "node": ">=14.0.0"
- },
- "peerDependencies": {
- "react": ">=16.8"
- }
- },
- "node_modules/react-router-dom": {
- "version": "6.23.1",
- "resolved": "https://registry.npmjs.org/react-router-dom/-/react-router-dom-6.23.1.tgz",
- "integrity": "sha512-utP+K+aSTtEdbWpC+4gxhdlPFwuEfDKq8ZrPFU65bbRJY+l706qjR7yaidBpo3MSeA/fzwbXWbKBI6ftOnP3OQ==",
- "dependencies": {
- "@remix-run/router": "1.16.1",
- "react-router": "6.23.1"
- },
- "engines": {
- "node": ">=14.0.0"
- },
- "peerDependencies": {
- "react": ">=16.8",
- "react-dom": ">=16.8"
- }
- },
- "node_modules/react-style-singleton": {
- "version": "2.2.1",
- "resolved": "https://registry.npmjs.org/react-style-singleton/-/react-style-singleton-2.2.1.tgz",
- "integrity": "sha512-ZWj0fHEMyWkHzKYUr2Bs/4zU6XLmq9HsgBURm7g5pAVfyn49DgUiNgY2d4lXRlYSiCif9YBGpQleewkcqddc7g==",
- "dependencies": {
- "get-nonce": "^1.0.0",
- "invariant": "^2.2.4",
- "tslib": "^2.0.0"
- },
- "engines": {
- "node": ">=10"
- },
- "peerDependencies": {
- "@types/react": "^16.8.0 || ^17.0.0 || ^18.0.0",
- "react": "^16.8.0 || ^17.0.0 || ^18.0.0"
- },
- "peerDependenciesMeta": {
- "@types/react": {
- "optional": true
- }
- }
- },
- "node_modules/react-syntax-highlighter": {
- "version": "15.5.0",
- "resolved": "https://registry.npmjs.org/react-syntax-highlighter/-/react-syntax-highlighter-15.5.0.tgz",
- "integrity": "sha512-+zq2myprEnQmH5yw6Gqc8lD55QHnpKaU8TOcFeC/Lg/MQSs8UknEA0JC4nTZGFAXC2J2Hyj/ijJ7NlabyPi2gg==",
- "dependencies": {
- "@babel/runtime": "^7.3.1",
- "highlight.js": "^10.4.1",
- "lowlight": "^1.17.0",
- "prismjs": "^1.27.0",
- "refractor": "^3.6.0"
- },
- "peerDependencies": {
- "react": ">= 0.14.0"
- }
- },
- "node_modules/react18-json-view": {
- "version": "0.2.8",
- "resolved": "https://registry.npmjs.org/react18-json-view/-/react18-json-view-0.2.8.tgz",
- "integrity": "sha512-uJlcf5PEDaba6yTqfcDAcMSYECZ15SLcpP94mLFTa/+fa1kZANjERqKzS7YxxsrGP4+jDxt6sIaglR0PbQcKPw==",
- "peerDependencies": {
- "react": ">=16.8.0"
- }
- },
- "node_modules/reactflow": {
- "version": "11.11.3",
- "resolved": "https://registry.npmjs.org/reactflow/-/reactflow-11.11.3.tgz",
- "integrity": "sha512-wusd1Xpn1wgsSEv7UIa4NNraCwH9syBtubBy4xVNXg3b+CDKM+sFaF3hnMx0tr0et4km9urIDdNvwm34QiZong==",
- "dependencies": {
- "@reactflow/background": "11.3.13",
- "@reactflow/controls": "11.2.13",
- "@reactflow/core": "11.11.3",
- "@reactflow/minimap": "11.7.13",
- "@reactflow/node-resizer": "2.2.13",
- "@reactflow/node-toolbar": "1.3.13"
- },
- "peerDependencies": {
- "react": ">=17",
- "react-dom": ">=17"
- }
- },
- "node_modules/read-cache": {
- "version": "1.0.0",
- "resolved": "https://registry.npmjs.org/read-cache/-/read-cache-1.0.0.tgz",
- "integrity": "sha512-Owdv/Ft7IjOgm/i0xvNDZ1LrRANRfew4b2prF3OWMQLxLfu3bS8FVhCsrSCMK4lR56Y9ya+AThoTpDCTxCmpRA==",
- "dependencies": {
- "pify": "^2.3.0"
- }
- },
- "node_modules/readable-stream": {
- "version": "3.6.2",
- "resolved": "https://registry.npmjs.org/readable-stream/-/readable-stream-3.6.2.tgz",
- "integrity": "sha512-9u/sniCrY3D5WdsERHzHE4G2YCXqoG5FTHUiCC4SIbr6XcLZBY05ya9EKjYek9O5xOAwjGq+1JdGBAS7Q9ScoA==",
- "dependencies": {
- "inherits": "^2.0.3",
- "string_decoder": "^1.1.1",
- "util-deprecate": "^1.0.1"
- },
- "engines": {
- "node": ">= 6"
- }
- },
- "node_modules/readable-web-to-node-stream": {
- "version": "3.0.2",
- "resolved": "https://registry.npmjs.org/readable-web-to-node-stream/-/readable-web-to-node-stream-3.0.2.tgz",
- "integrity": "sha512-ePeK6cc1EcKLEhJFt/AebMCLL+GgSKhuygrZ/GLaKZYEecIgIECf4UaUuaByiGtzckwR4ain9VzUh95T1exYGw==",
- "dev": true,
- "dependencies": {
- "readable-stream": "^3.6.0"
- },
- "engines": {
- "node": ">=8"
- },
- "funding": {
- "type": "github",
- "url": "https://github.com/sponsors/Borewit"
- }
- },
- "node_modules/readdirp": {
- "version": "3.6.0",
- "resolved": "https://registry.npmjs.org/readdirp/-/readdirp-3.6.0.tgz",
- "integrity": "sha512-hOS089on8RduqdbhvQ5Z37A0ESjsqz6qnRcffsMU3495FuTdqSm+7bhJ29JvIOsBDEEnan5DPu9t3To9VRlMzA==",
- "dependencies": {
- "picomatch": "^2.2.1"
- },
- "engines": {
- "node": ">=8.10.0"
- }
- },
- "node_modules/redent": {
- "version": "3.0.0",
- "resolved": "https://registry.npmjs.org/redent/-/redent-3.0.0.tgz",
- "integrity": "sha512-6tDA8g98We0zd0GvVeMT9arEOnTw9qM03L9cJXaCjrip1OO764RDBLBfrB4cwzNGDj5OA5ioymC9GkizgWJDUg==",
- "dev": true,
- "dependencies": {
- "indent-string": "^4.0.0",
- "strip-indent": "^3.0.0"
- },
- "engines": {
- "node": ">=8"
- }
- },
- "node_modules/refractor": {
- "version": "3.6.0",
- "resolved": "https://registry.npmjs.org/refractor/-/refractor-3.6.0.tgz",
- "integrity": "sha512-MY9W41IOWxxk31o+YvFCNyNzdkc9M20NoZK5vq6jkv4I/uh2zkWcfudj0Q1fovjUQJrNewS9NMzeTtqPf+n5EA==",
- "dependencies": {
- "hastscript": "^6.0.0",
- "parse-entities": "^2.0.0",
- "prismjs": "~1.27.0"
- },
- "funding": {
- "type": "github",
- "url": "https://github.com/sponsors/wooorm"
- }
- },
- "node_modules/refractor/node_modules/prismjs": {
- "version": "1.27.0",
- "resolved": "https://registry.npmjs.org/prismjs/-/prismjs-1.27.0.tgz",
- "integrity": "sha512-t13BGPUlFDR7wRB5kQDG4jjl7XeuH6jbJGt11JHPL96qwsEHNX2+68tFXqc1/k+/jALsbSWJKUOT/hcYAZ5LkA==",
- "engines": {
- "node": ">=6"
- }
- },
- "node_modules/regenerator-runtime": {
- "version": "0.14.1",
- "resolved": "https://registry.npmjs.org/regenerator-runtime/-/regenerator-runtime-0.14.1.tgz",
- "integrity": "sha512-dYnhHh0nJoMfnkZs6GmmhFknAGRrLznOu5nc9ML+EJxGvrx6H7teuevqVqCuPcPK//3eDrrjQhehXVx9cnkGdw=="
- },
- "node_modules/regexp.prototype.flags": {
- "version": "1.5.2",
- "resolved": "https://registry.npmjs.org/regexp.prototype.flags/-/regexp.prototype.flags-1.5.2.tgz",
- "integrity": "sha512-NcDiDkTLuPR+++OCKB0nWafEmhg/Da8aUPLPMQbK+bxKKCm1/S5he+AqYa4PlMCVBalb4/yxIRub6qkEx5yJbw==",
- "dev": true,
- "dependencies": {
- "call-bind": "^1.0.6",
- "define-properties": "^1.2.1",
- "es-errors": "^1.3.0",
- "set-function-name": "^2.0.1"
- },
- "engines": {
- "node": ">= 0.4"
- },
- "funding": {
- "url": "https://github.com/sponsors/ljharb"
- }
- },
- "node_modules/regexpp": {
- "version": "3.2.0",
- "resolved": "https://registry.npmjs.org/regexpp/-/regexpp-3.2.0.tgz",
- "integrity": "sha512-pq2bWo9mVD43nbts2wGv17XLiNLya+GklZ8kaDLV2Z08gDCsGpnKn9BFMepvWuHCbyVvY7J5o5+BVvoQbmlJLg==",
- "dev": true,
- "engines": {
- "node": ">=8"
- },
- "funding": {
- "url": "https://github.com/sponsors/mysticatea"
- }
- },
- "node_modules/rehype-mathjax": {
- "version": "4.0.3",
- "resolved": "https://registry.npmjs.org/rehype-mathjax/-/rehype-mathjax-4.0.3.tgz",
- "integrity": "sha512-QIwWH9U+r54nMQklVkT1qluxhKyzdPWz9dFwgel3BrseQsWZafRTDTUj8VR8/14nFuRIV2ChuCMz4zpACPoYvg==",
- "dependencies": {
- "@types/hast": "^2.0.0",
- "@types/mathjax": "^0.0.37",
- "hast-util-from-dom": "^4.0.0",
- "hast-util-to-text": "^3.1.0",
- "jsdom": "^20.0.0",
- "mathjax-full": "^3.0.0",
- "unified": "^10.0.0",
- "unist-util-visit": "^4.0.0"
- },
- "funding": {
- "type": "opencollective",
- "url": "https://opencollective.com/unified"
- }
- },
- "node_modules/remark-gfm": {
- "version": "3.0.1",
- "resolved": "https://registry.npmjs.org/remark-gfm/-/remark-gfm-3.0.1.tgz",
- "integrity": "sha512-lEFDoi2PICJyNrACFOfDD3JlLkuSbOa5Wd8EPt06HUdptv8Gn0bxYTdbU/XXQ3swAPkEaGxxPN9cbnMHvVu1Ig==",
- "dependencies": {
- "@types/mdast": "^3.0.0",
- "mdast-util-gfm": "^2.0.0",
- "micromark-extension-gfm": "^2.0.0",
- "unified": "^10.0.0"
- },
- "funding": {
- "type": "opencollective",
- "url": "https://opencollective.com/unified"
- }
- },
- "node_modules/remark-math": {
- "version": "5.1.1",
- "resolved": "https://registry.npmjs.org/remark-math/-/remark-math-5.1.1.tgz",
- "integrity": "sha512-cE5T2R/xLVtfFI4cCePtiRn+e6jKMtFDR3P8V3qpv8wpKjwvHoBA4eJzvX+nVrnlNy0911bdGmuspCSwetfYHw==",
- "dependencies": {
- "@types/mdast": "^3.0.0",
- "mdast-util-math": "^2.0.0",
- "micromark-extension-math": "^2.0.0",
- "unified": "^10.0.0"
- },
- "funding": {
- "type": "opencollective",
- "url": "https://opencollective.com/unified"
- }
- },
- "node_modules/remark-parse": {
- "version": "10.0.2",
- "resolved": "https://registry.npmjs.org/remark-parse/-/remark-parse-10.0.2.tgz",
- "integrity": "sha512-3ydxgHa/ZQzG8LvC7jTXccARYDcRld3VfcgIIFs7bI6vbRSxJJmzgLEIIoYKyrfhaY+ujuWaf/PJiMZXoiCXgw==",
- "dependencies": {
- "@types/mdast": "^3.0.0",
- "mdast-util-from-markdown": "^1.0.0",
- "unified": "^10.0.0"
- },
- "funding": {
- "type": "opencollective",
- "url": "https://opencollective.com/unified"
- }
- },
- "node_modules/remark-rehype": {
- "version": "10.1.0",
- "resolved": "https://registry.npmjs.org/remark-rehype/-/remark-rehype-10.1.0.tgz",
- "integrity": "sha512-EFmR5zppdBp0WQeDVZ/b66CWJipB2q2VLNFMabzDSGR66Z2fQii83G5gTBbgGEnEEA0QRussvrFHxk1HWGJskw==",
- "dependencies": {
- "@types/hast": "^2.0.0",
- "@types/mdast": "^3.0.0",
- "mdast-util-to-hast": "^12.1.0",
- "unified": "^10.0.0"
- },
- "funding": {
- "type": "opencollective",
- "url": "https://opencollective.com/unified"
- }
- },
- "node_modules/require-directory": {
- "version": "2.1.1",
- "resolved": "https://registry.npmjs.org/require-directory/-/require-directory-2.1.1.tgz",
- "integrity": "sha512-fGxEI7+wsG9xrvdjsrlmL22OMTTiHRwAMroiEeMgq8gzoLC/PQr7RsRDSTLUg/bZAZtF+TVIkHc6/4RIKrui+Q==",
- "engines": {
- "node": ">=0.10.0"
- }
- },
- "node_modules/requires-port": {
- "version": "1.0.0",
- "resolved": "https://registry.npmjs.org/requires-port/-/requires-port-1.0.0.tgz",
- "integrity": "sha512-KigOCHcocU3XODJxsu8i/j8T9tzT4adHiecwORRQ0ZZFcp7ahwXuRU1m+yuO90C5ZUyGeGfocHDI14M3L3yDAQ=="
- },
- "node_modules/resolve": {
- "version": "1.22.8",
- "resolved": "https://registry.npmjs.org/resolve/-/resolve-1.22.8.tgz",
- "integrity": "sha512-oKWePCxqpd6FlLvGV1VU0x7bkPmmCNolxzjMf4NczoDnQcIWrAF+cPtZn5i6n+RfD2d9i0tzpKnG6Yk168yIyw==",
- "dependencies": {
- "is-core-module": "^2.13.0",
- "path-parse": "^1.0.7",
- "supports-preserve-symlinks-flag": "^1.0.0"
- },
- "bin": {
- "resolve": "bin/resolve"
- },
- "funding": {
- "url": "https://github.com/sponsors/ljharb"
- }
- },
- "node_modules/resolve-alpn": {
- "version": "1.2.1",
- "resolved": "https://registry.npmjs.org/resolve-alpn/-/resolve-alpn-1.2.1.tgz",
- "integrity": "sha512-0a1F4l73/ZFZOakJnQ3FvkJ2+gSTQWz/r2KE5OdDY0TxPm5h4GkqkWWfM47T7HsbnOtcJVEF4epCVy6u7Q3K+g==",
- "dev": true
- },
- "node_modules/resolve-from": {
- "version": "4.0.0",
- "resolved": "https://registry.npmjs.org/resolve-from/-/resolve-from-4.0.0.tgz",
- "integrity": "sha512-pb/MYmXstAkysRFx8piNI1tGFNQIFA3vkE3Gq4EuA1dF6gHp/+vgZqsCGJapvy8N3Q+4o7FwvquPJcnZ7RYy4g==",
- "engines": {
- "node": ">=4"
- }
- },
- "node_modules/responselike": {
- "version": "2.0.1",
- "resolved": "https://registry.npmjs.org/responselike/-/responselike-2.0.1.tgz",
- "integrity": "sha512-4gl03wn3hj1HP3yzgdI7d3lCkF95F21Pz4BPGvKHinyQzALR5CapwC8yIi0Rh58DEMQ/SguC03wFj2k0M/mHhw==",
- "dev": true,
- "dependencies": {
- "lowercase-keys": "^2.0.0"
- },
- "funding": {
- "url": "https://github.com/sponsors/sindresorhus"
- }
- },
- "node_modules/restore-cursor": {
- "version": "4.0.0",
- "resolved": "https://registry.npmjs.org/restore-cursor/-/restore-cursor-4.0.0.tgz",
- "integrity": "sha512-I9fPXU9geO9bHOt9pHHOhOkYerIMsmVaWB0rA2AI9ERh/+x/i7MV5HKBNrg+ljO5eoPVgCcnFuRjJ9uH6I/3eg==",
- "dependencies": {
- "onetime": "^5.1.0",
- "signal-exit": "^3.0.2"
- },
- "engines": {
- "node": "^12.20.0 || ^14.13.1 || >=16.0.0"
- },
- "funding": {
- "url": "https://github.com/sponsors/sindresorhus"
- }
- },
- "node_modules/reusify": {
- "version": "1.0.4",
- "resolved": "https://registry.npmjs.org/reusify/-/reusify-1.0.4.tgz",
- "integrity": "sha512-U9nH88a3fc/ekCF1l0/UP1IosiuIjyTh7hBvXVMHYgVcfGvt897Xguj2UOLDeI5BG2m7/uwyaLVT6fbtCwTyzw==",
- "engines": {
- "iojs": ">=1.0.0",
- "node": ">=0.10.0"
- }
- },
- "node_modules/rimraf": {
- "version": "3.0.2",
- "resolved": "https://registry.npmjs.org/rimraf/-/rimraf-3.0.2.tgz",
- "integrity": "sha512-JZkJMZkAGFFPP2YqXZXPbMlMBgsxzE8ILs4lMIX/2o0L9UBw9O/Y3o6wFw/i9YLapcUJWwqbi3kdxIPdC62TIA==",
- "devOptional": true,
- "dependencies": {
- "glob": "^7.1.3"
- },
- "bin": {
- "rimraf": "bin.js"
- },
- "funding": {
- "url": "https://github.com/sponsors/isaacs"
- }
- },
- "node_modules/rollup": {
- "version": "3.29.4",
- "resolved": "https://registry.npmjs.org/rollup/-/rollup-3.29.4.tgz",
- "integrity": "sha512-oWzmBZwvYrU0iJHtDmhsm662rC15FRXmcjCk1xD771dFDx5jJ02ufAQQTn0etB2emNk4J9EZg/yWKpsn9BWGRw==",
- "bin": {
- "rollup": "dist/bin/rollup"
- },
- "engines": {
- "node": ">=14.18.0",
- "npm": ">=8.0.0"
- },
- "optionalDependencies": {
- "fsevents": "~2.3.2"
- }
- },
- "node_modules/run-parallel": {
- "version": "1.2.0",
- "resolved": "https://registry.npmjs.org/run-parallel/-/run-parallel-1.2.0.tgz",
- "integrity": "sha512-5l4VyZR86LZ/lDxZTR6jqL8AFE2S0IFLMP26AbjsLVADxHdhB/c0GUsH+y39UfCi3dzz8OlQuPmnaJOMoDHQBA==",
- "funding": [
- {
- "type": "github",
- "url": "https://github.com/sponsors/feross"
- },
- {
- "type": "patreon",
- "url": "https://www.patreon.com/feross"
- },
- {
- "type": "consulting",
- "url": "https://feross.org/support"
- }
- ],
- "dependencies": {
- "queue-microtask": "^1.2.2"
- }
- },
- "node_modules/rusha": {
- "version": "0.8.14",
- "resolved": "https://registry.npmjs.org/rusha/-/rusha-0.8.14.tgz",
- "integrity": "sha512-cLgakCUf6PedEu15t8kbsjnwIFFR2D4RfL+W3iWFJ4iac7z4B0ZI8fxy4R3J956kAI68HclCFGL8MPoUVC3qVA=="
- },
- "node_modules/sade": {
- "version": "1.8.1",
- "resolved": "https://registry.npmjs.org/sade/-/sade-1.8.1.tgz",
- "integrity": "sha512-xal3CZX1Xlo/k4ApwCFrHVACi9fBqJ7V+mwhBsuf/1IOKbBy098Fex+Wa/5QMubw09pSZ/u8EY8PWgevJsXp1A==",
- "dependencies": {
- "mri": "^1.1.0"
- },
- "engines": {
- "node": ">=6"
- }
- },
- "node_modules/safe-buffer": {
- "version": "5.2.1",
- "resolved": "https://registry.npmjs.org/safe-buffer/-/safe-buffer-5.2.1.tgz",
- "integrity": "sha512-rp3So07KcdmmKbGvgaNxQSJr7bGVSVk5S9Eq1F+ppbRo70+YeaDxkw5Dd8NPN+GD6bjnYm2VuPuCXmpuYvmCXQ==",
- "funding": [
- {
- "type": "github",
- "url": "https://github.com/sponsors/feross"
- },
- {
- "type": "patreon",
- "url": "https://www.patreon.com/feross"
- },
- {
- "type": "consulting",
- "url": "https://feross.org/support"
- }
- ]
- },
- "node_modules/safer-buffer": {
- "version": "2.1.2",
- "resolved": "https://registry.npmjs.org/safer-buffer/-/safer-buffer-2.1.2.tgz",
- "integrity": "sha512-YZo3K82SD7Riyi0E1EQPojLz7kpepnSQI9IyPbHHg1XXXevb5dJI7tpyN2ADxGcQbHG7vcyRHk0cbwqcQriUtg=="
- },
- "node_modules/saxes": {
- "version": "6.0.0",
- "resolved": "https://registry.npmjs.org/saxes/-/saxes-6.0.0.tgz",
- "integrity": "sha512-xAg7SOnEhrm5zI3puOOKyy1OMcMlIJZYNJY7xLBwSze0UjhPLnWfj2GF2EpT0jmzaJKIWKHLsaSSajf35bcYnA==",
- "dependencies": {
- "xmlchars": "^2.2.0"
- },
- "engines": {
- "node": ">=v12.22.7"
- }
- },
- "node_modules/scheduler": {
- "version": "0.23.2",
- "resolved": "https://registry.npmjs.org/scheduler/-/scheduler-0.23.2.tgz",
- "integrity": "sha512-UOShsPwz7NrMUqhR6t0hWjFduvOzbtv7toDH1/hIrfRNIDBnnBWd0CwJTGvTpngVlmwGCdP9/Zl/tVrDqcuYzQ==",
- "dependencies": {
- "loose-envify": "^1.1.0"
- }
- },
- "node_modules/semver": {
- "version": "6.3.1",
- "resolved": "https://registry.npmjs.org/semver/-/semver-6.3.1.tgz",
- "integrity": "sha512-BR7VvDCVHO+q2xBEWskxS6DJE1qRnb7DxzUrogb71CWoSficBxYsiAGd+Kl0mmq/MprG9yArRkyrQxTO6XjMzA==",
- "bin": {
- "semver": "bin/semver.js"
- }
- },
- "node_modules/semver-regex": {
- "version": "4.0.5",
- "resolved": "https://registry.npmjs.org/semver-regex/-/semver-regex-4.0.5.tgz",
- "integrity": "sha512-hunMQrEy1T6Jr2uEVjrAIqjwWcQTgOAcIM52C8MY1EZSD3DDNft04XzvYKPqjED65bNVVko0YI38nYeEHCX3yw==",
- "dev": true,
- "engines": {
- "node": ">=12"
- },
- "funding": {
- "url": "https://github.com/sponsors/sindresorhus"
- }
- },
- "node_modules/semver-truncate": {
- "version": "3.0.0",
- "resolved": "https://registry.npmjs.org/semver-truncate/-/semver-truncate-3.0.0.tgz",
- "integrity": "sha512-LJWA9kSvMolR51oDE6PN3kALBNaUdkxzAGcexw8gjMA8xr5zUqK0JiR3CgARSqanYF3Z1YHvsErb1KDgh+v7Rg==",
- "dev": true,
- "dependencies": {
- "semver": "^7.3.5"
- },
- "engines": {
- "node": ">=12"
- },
- "funding": {
- "url": "https://github.com/sponsors/sindresorhus"
- }
- },
- "node_modules/semver-truncate/node_modules/semver": {
- "version": "7.6.2",
- "resolved": "https://registry.npmjs.org/semver/-/semver-7.6.2.tgz",
- "integrity": "sha512-FNAIBWCx9qcRhoHcgcJ0gvU7SN1lYU2ZXuSfl04bSC5OpvDHFyJCjdNHomPXxjQlCBU67YW64PzY7/VIEH7F2w==",
- "dev": true,
- "bin": {
- "semver": "bin/semver.js"
- },
- "engines": {
- "node": ">=10"
- }
- },
- "node_modules/set-blocking": {
- "version": "2.0.0",
- "resolved": "https://registry.npmjs.org/set-blocking/-/set-blocking-2.0.0.tgz",
- "integrity": "sha512-KiKBS8AnWGEyLzofFfmvKwpdPzqiy16LvQfK3yv/fVH7Bj13/wl3JSR1J+rfgRE9q7xUJK4qvgS8raSOeLUehw==",
- "optional": true
- },
- "node_modules/set-function-length": {
- "version": "1.2.2",
- "resolved": "https://registry.npmjs.org/set-function-length/-/set-function-length-1.2.2.tgz",
- "integrity": "sha512-pgRc4hJ4/sNjWCSS9AmnS40x3bNMDTknHgL5UaMBTMyJnU90EgWh1Rz+MC9eFu4BuN/UwZjKQuY/1v3rM7HMfg==",
- "dev": true,
- "dependencies": {
- "define-data-property": "^1.1.4",
- "es-errors": "^1.3.0",
- "function-bind": "^1.1.2",
- "get-intrinsic": "^1.2.4",
- "gopd": "^1.0.1",
- "has-property-descriptors": "^1.0.2"
- },
- "engines": {
- "node": ">= 0.4"
- }
- },
- "node_modules/set-function-name": {
- "version": "2.0.2",
- "resolved": "https://registry.npmjs.org/set-function-name/-/set-function-name-2.0.2.tgz",
- "integrity": "sha512-7PGFlmtwsEADb0WYyvCMa1t+yke6daIG4Wirafur5kcf+MhUnPms1UeR0CKQdTZD81yESwMHbtn+TR+dMviakQ==",
- "dev": true,
- "dependencies": {
- "define-data-property": "^1.1.4",
- "es-errors": "^1.3.0",
- "functions-have-names": "^1.2.3",
- "has-property-descriptors": "^1.0.2"
- },
- "engines": {
- "node": ">= 0.4"
- }
- },
- "node_modules/shadcn-ui": {
- "version": "0.2.3",
- "resolved": "https://registry.npmjs.org/shadcn-ui/-/shadcn-ui-0.2.3.tgz",
- "integrity": "sha512-Bf2y8d5VusDbCs5l/SRmFTJ2tW9oBvIDWL1xmmURKuxn8rznXApoTdflPJ+Q68zKFXmIh6cYd4cJ8I8nzOkoAQ==",
- "dependencies": {
- "@antfu/ni": "^0.21.4",
- "chalk": "5.2.0",
- "commander": "^10.0.0",
- "cosmiconfig": "^8.1.3",
- "diff": "^5.1.0",
- "execa": "^7.0.0",
- "fs-extra": "^11.1.0",
- "https-proxy-agent": "^6.2.0",
- "node-fetch": "^3.3.0",
- "ora": "^6.1.2",
- "prompts": "^2.4.2",
- "ts-morph": "^18.0.0",
- "tsconfig-paths": "^4.2.0",
- "zod": "^3.20.2"
- },
- "bin": {
- "shadcn-ui": "dist/index.js"
- }
- },
- "node_modules/shadcn-ui/node_modules/agent-base": {
- "version": "7.1.1",
- "resolved": "https://registry.npmjs.org/agent-base/-/agent-base-7.1.1.tgz",
- "integrity": "sha512-H0TSyFNDMomMNJQBn8wFV5YC/2eJ+VXECwOadZJT554xP6cODZHPX3H9QMQECxvrgiSOP1pHjy1sMWQVYJOUOA==",
- "dependencies": {
- "debug": "^4.3.4"
- },
- "engines": {
- "node": ">= 14"
- }
- },
- "node_modules/shadcn-ui/node_modules/chalk": {
- "version": "5.2.0",
- "resolved": "https://registry.npmjs.org/chalk/-/chalk-5.2.0.tgz",
- "integrity": "sha512-ree3Gqw/nazQAPuJJEy+avdl7QfZMcUvmHIKgEZkGL+xOBzRvup5Hxo6LHuMceSxOabuJLJm5Yp/92R9eMmMvA==",
- "engines": {
- "node": "^12.17.0 || ^14.13 || >=16.0.0"
- },
- "funding": {
- "url": "https://github.com/chalk/chalk?sponsor=1"
- }
- },
- "node_modules/shadcn-ui/node_modules/commander": {
- "version": "10.0.1",
- "resolved": "https://registry.npmjs.org/commander/-/commander-10.0.1.tgz",
- "integrity": "sha512-y4Mg2tXshplEbSGzx7amzPwKKOCGuoSRP/CjEdwwk0FOGlUbq6lKuoyDZTNZkmxHdJtp54hdfY/JUrdL7Xfdug==",
- "engines": {
- "node": ">=14"
- }
- },
- "node_modules/shadcn-ui/node_modules/execa": {
- "version": "7.2.0",
- "resolved": "https://registry.npmjs.org/execa/-/execa-7.2.0.tgz",
- "integrity": "sha512-UduyVP7TLB5IcAQl+OzLyLcS/l32W/GLg+AhHJ+ow40FOk2U3SAllPwR44v4vmdFwIWqpdwxxpQbF1n5ta9seA==",
- "dependencies": {
- "cross-spawn": "^7.0.3",
- "get-stream": "^6.0.1",
- "human-signals": "^4.3.0",
- "is-stream": "^3.0.0",
- "merge-stream": "^2.0.0",
- "npm-run-path": "^5.1.0",
- "onetime": "^6.0.0",
- "signal-exit": "^3.0.7",
- "strip-final-newline": "^3.0.0"
- },
- "engines": {
- "node": "^14.18.0 || ^16.14.0 || >=18.0.0"
- },
- "funding": {
- "url": "https://github.com/sindresorhus/execa?sponsor=1"
- }
- },
- "node_modules/shadcn-ui/node_modules/get-stream": {
- "version": "6.0.1",
- "resolved": "https://registry.npmjs.org/get-stream/-/get-stream-6.0.1.tgz",
- "integrity": "sha512-ts6Wi+2j3jQjqi70w5AlN8DFnkSwC+MqmxEzdEALB2qXZYV3X/b1CTfgPLGJNMeAWxdPfU8FO1ms3NUfaHCPYg==",
- "engines": {
- "node": ">=10"
- },
- "funding": {
- "url": "https://github.com/sponsors/sindresorhus"
- }
- },
- "node_modules/shadcn-ui/node_modules/https-proxy-agent": {
- "version": "6.2.1",
- "resolved": "https://registry.npmjs.org/https-proxy-agent/-/https-proxy-agent-6.2.1.tgz",
- "integrity": "sha512-ONsE3+yfZF2caH5+bJlcddtWqNI3Gvs5A38+ngvljxaBiRXRswym2c7yf8UAeFpRFKjFNHIFEHqR/OLAWJzyiA==",
- "dependencies": {
- "agent-base": "^7.0.2",
- "debug": "4"
- },
- "engines": {
- "node": ">= 14"
- }
- },
- "node_modules/shadcn-ui/node_modules/human-signals": {
- "version": "4.3.1",
- "resolved": "https://registry.npmjs.org/human-signals/-/human-signals-4.3.1.tgz",
- "integrity": "sha512-nZXjEF2nbo7lIw3mgYjItAfgQXog3OjJogSbKa2CQIIvSGWcKgeJnQlNXip6NglNzYH45nSRiEVimMvYL8DDqQ==",
- "engines": {
- "node": ">=14.18.0"
- }
- },
- "node_modules/shadcn-ui/node_modules/is-stream": {
- "version": "3.0.0",
- "resolved": "https://registry.npmjs.org/is-stream/-/is-stream-3.0.0.tgz",
- "integrity": "sha512-LnQR4bZ9IADDRSkvpqMGvt/tEJWclzklNgSw48V5EAaAeDd6qGvN8ei6k5p0tvxSR171VmGyHuTiAOfxAbr8kA==",
- "engines": {
- "node": "^12.20.0 || ^14.13.1 || >=16.0.0"
- },
- "funding": {
- "url": "https://github.com/sponsors/sindresorhus"
- }
- },
- "node_modules/shadcn-ui/node_modules/mimic-fn": {
- "version": "4.0.0",
- "resolved": "https://registry.npmjs.org/mimic-fn/-/mimic-fn-4.0.0.tgz",
- "integrity": "sha512-vqiC06CuhBTUdZH+RYl8sFrL096vA45Ok5ISO6sE/Mr1jRbGH4Csnhi8f3wKVl7x8mO4Au7Ir9D3Oyv1VYMFJw==",
- "engines": {
- "node": ">=12"
- },
- "funding": {
- "url": "https://github.com/sponsors/sindresorhus"
- }
- },
- "node_modules/shadcn-ui/node_modules/node-fetch": {
- "version": "3.3.2",
- "resolved": "https://registry.npmjs.org/node-fetch/-/node-fetch-3.3.2.tgz",
- "integrity": "sha512-dRB78srN/l6gqWulah9SrxeYnxeddIG30+GOqK/9OlLVyLg3HPnr6SqOWTWOXKRwC2eGYCkZ59NNuSgvSrpgOA==",
- "dependencies": {
- "data-uri-to-buffer": "^4.0.0",
- "fetch-blob": "^3.1.4",
- "formdata-polyfill": "^4.0.10"
- },
- "engines": {
- "node": "^12.20.0 || ^14.13.1 || >=16.0.0"
- },
- "funding": {
- "type": "opencollective",
- "url": "https://opencollective.com/node-fetch"
- }
- },
- "node_modules/shadcn-ui/node_modules/npm-run-path": {
- "version": "5.3.0",
- "resolved": "https://registry.npmjs.org/npm-run-path/-/npm-run-path-5.3.0.tgz",
- "integrity": "sha512-ppwTtiJZq0O/ai0z7yfudtBpWIoxM8yE6nHi1X47eFR2EWORqfbu6CnPlNsjeN683eT0qG6H/Pyf9fCcvjnnnQ==",
- "dependencies": {
- "path-key": "^4.0.0"
- },
- "engines": {
- "node": "^12.20.0 || ^14.13.1 || >=16.0.0"
- },
- "funding": {
- "url": "https://github.com/sponsors/sindresorhus"
- }
- },
- "node_modules/shadcn-ui/node_modules/onetime": {
- "version": "6.0.0",
- "resolved": "https://registry.npmjs.org/onetime/-/onetime-6.0.0.tgz",
- "integrity": "sha512-1FlR+gjXK7X+AsAHso35MnyN5KqGwJRi/31ft6x0M194ht7S+rWAvd7PHss9xSKMzE0asv1pyIHaJYq+BbacAQ==",
- "dependencies": {
- "mimic-fn": "^4.0.0"
- },
- "engines": {
- "node": ">=12"
- },
- "funding": {
- "url": "https://github.com/sponsors/sindresorhus"
- }
- },
- "node_modules/shadcn-ui/node_modules/path-key": {
- "version": "4.0.0",
- "resolved": "https://registry.npmjs.org/path-key/-/path-key-4.0.0.tgz",
- "integrity": "sha512-haREypq7xkM7ErfgIyA0z+Bj4AGKlMSdlQE2jvJo6huWD1EdkKYV+G/T4nq0YEF2vgTT8kqMFKo1uHn950r4SQ==",
- "engines": {
- "node": ">=12"
- },
- "funding": {
- "url": "https://github.com/sponsors/sindresorhus"
- }
- },
- "node_modules/shadcn-ui/node_modules/strip-final-newline": {
- "version": "3.0.0",
- "resolved": "https://registry.npmjs.org/strip-final-newline/-/strip-final-newline-3.0.0.tgz",
- "integrity": "sha512-dOESqjYr96iWYylGObzd39EuNTa5VJxyvVAEm5Jnh7KGo75V43Hk1odPQkNDyXNmUR6k+gEiDVXnjB8HJ3crXw==",
- "engines": {
- "node": ">=12"
- },
- "funding": {
- "url": "https://github.com/sponsors/sindresorhus"
- }
- },
- "node_modules/shebang-command": {
- "version": "2.0.0",
- "resolved": "https://registry.npmjs.org/shebang-command/-/shebang-command-2.0.0.tgz",
- "integrity": "sha512-kHxr2zZpYtdmrN1qDjrrX/Z1rR1kG8Dx+gkpK1G4eXmvXswmcE1hTWBWYUzlraYw1/yZp6YuDY77YtvbN0dmDA==",
- "dependencies": {
- "shebang-regex": "^3.0.0"
- },
- "engines": {
- "node": ">=8"
- }
- },
- "node_modules/shebang-regex": {
- "version": "3.0.0",
- "resolved": "https://registry.npmjs.org/shebang-regex/-/shebang-regex-3.0.0.tgz",
- "integrity": "sha512-7++dFhtcx3353uBaq8DDR4NuxBetBzC7ZQOhmTQInHEd6bSrXdiEyzCvG07Z44UYdLShWUyXt5M/yhz8ekcb1A==",
- "engines": {
- "node": ">=8"
- }
- },
- "node_modules/short-unique-id": {
- "version": "4.4.4",
- "resolved": "https://registry.npmjs.org/short-unique-id/-/short-unique-id-4.4.4.tgz",
- "integrity": "sha512-oLF1NCmtbiTWl2SqdXZQbo5KM1b7axdp0RgQLq8qCBBLoq+o3A5wmLrNM6bZIh54/a8BJ3l69kTXuxwZ+XCYuw==",
- "bin": {
- "short-unique-id": "bin/short-unique-id",
- "suid": "bin/short-unique-id"
- }
- },
- "node_modules/side-channel": {
- "version": "1.0.6",
- "resolved": "https://registry.npmjs.org/side-channel/-/side-channel-1.0.6.tgz",
- "integrity": "sha512-fDW/EZ6Q9RiO8eFG8Hj+7u/oW+XrPTIChwCOM2+th2A6OblDtYYIpve9m+KvI9Z4C9qSEXlaGR6bTEYHReuglA==",
- "dev": true,
- "dependencies": {
- "call-bind": "^1.0.7",
- "es-errors": "^1.3.0",
- "get-intrinsic": "^1.2.4",
- "object-inspect": "^1.13.1"
- },
- "engines": {
- "node": ">= 0.4"
- },
- "funding": {
- "url": "https://github.com/sponsors/ljharb"
- }
- },
- "node_modules/signal-exit": {
- "version": "3.0.7",
- "resolved": "https://registry.npmjs.org/signal-exit/-/signal-exit-3.0.7.tgz",
- "integrity": "sha512-wnD2ZE+l+SPC/uoS0vXeE9L1+0wuaMqKlfz9AMUo38JsyLSBWSFcHR1Rri62LZc12vLr1gb3jl7iwQhgwpAbGQ=="
- },
- "node_modules/simple-concat": {
- "version": "1.0.1",
- "resolved": "https://registry.npmjs.org/simple-concat/-/simple-concat-1.0.1.tgz",
- "integrity": "sha512-cSFtAPtRhljv69IK0hTVZQ+OfE9nePi/rtJmw5UjHeVyVroEqJXP1sFztKUy1qU+xvz3u/sfYJLa947b7nAN2Q==",
- "funding": [
- {
- "type": "github",
- "url": "https://github.com/sponsors/feross"
- },
- {
- "type": "patreon",
- "url": "https://www.patreon.com/feross"
- },
- {
- "type": "consulting",
- "url": "https://feross.org/support"
- }
- ],
- "optional": true
- },
- "node_modules/simple-get": {
- "version": "3.1.1",
- "resolved": "https://registry.npmjs.org/simple-get/-/simple-get-3.1.1.tgz",
- "integrity": "sha512-CQ5LTKGfCpvE1K0n2us+kuMPbk/q0EKl82s4aheV9oXjFEz6W/Y7oQFVJuU6QG77hRT4Ghb5RURteF5vnWjupA==",
- "optional": true,
- "dependencies": {
- "decompress-response": "^4.2.0",
- "once": "^1.3.1",
- "simple-concat": "^1.0.0"
- }
- },
- "node_modules/simple-get/node_modules/decompress-response": {
- "version": "4.2.1",
- "resolved": "https://registry.npmjs.org/decompress-response/-/decompress-response-4.2.1.tgz",
- "integrity": "sha512-jOSne2qbyE+/r8G1VU+G/82LBs2Fs4LAsTiLSHOCOMZQl2OKZ6i8i4IyHemTe+/yIXOtTcRQMzPcgyhoFlqPkw==",
- "optional": true,
- "dependencies": {
- "mimic-response": "^2.0.0"
- },
- "engines": {
- "node": ">=8"
- }
- },
- "node_modules/simple-get/node_modules/mimic-response": {
- "version": "2.1.0",
- "resolved": "https://registry.npmjs.org/mimic-response/-/mimic-response-2.1.0.tgz",
- "integrity": "sha512-wXqjST+SLt7R009ySCglWBCFpjUygmCIfD790/kVbiGmUgfYGuB14PiTd5DwVxSV4NcYHjzMkoj5LjQZwTQLEA==",
- "optional": true,
- "engines": {
- "node": ">=8"
- },
- "funding": {
- "url": "https://github.com/sponsors/sindresorhus"
- }
- },
- "node_modules/simple-git-hooks": {
- "version": "2.11.1",
- "resolved": "https://registry.npmjs.org/simple-git-hooks/-/simple-git-hooks-2.11.1.tgz",
- "integrity": "sha512-tgqwPUMDcNDhuf1Xf6KTUsyeqGdgKMhzaH4PAZZuzguOgTl5uuyeYe/8mWgAr6IBxB5V06uqEf6Dy37gIWDtDg==",
- "dev": true,
- "hasInstallScript": true,
- "bin": {
- "simple-git-hooks": "cli.js"
- }
- },
- "node_modules/sisteransi": {
- "version": "1.0.5",
- "resolved": "https://registry.npmjs.org/sisteransi/-/sisteransi-1.0.5.tgz",
- "integrity": "sha512-bLGGlR1QxBcynn2d5YmDX4MGjlZvy2MRBDRNHLJ8VI6l6+9FUiyTFNJ0IveOSP0bcXgVDPRcfGqA0pjaqUpfVg=="
- },
- "node_modules/slash": {
- "version": "3.0.0",
- "resolved": "https://registry.npmjs.org/slash/-/slash-3.0.0.tgz",
- "integrity": "sha512-g9Q1haeby36OSStwb4ntCGGGaKsaVSjQ68fBxoQcutl5fS1vuY18H3wSt3jFyFtrkx+Kz0V1G85A4MyAdDMi2Q==",
- "dev": true,
- "engines": {
- "node": ">=8"
- }
- },
- "node_modules/snake-case": {
- "version": "3.0.4",
- "resolved": "https://registry.npmjs.org/snake-case/-/snake-case-3.0.4.tgz",
- "integrity": "sha512-LAOh4z89bGQvl9pFfNF8V146i7o7/CqFPbqzYgP+yYzDIDeS9HaNFtXABamRW+AQzEVODcvE79ljJ+8a9YSdMg==",
- "dependencies": {
- "dot-case": "^3.0.4",
- "tslib": "^2.0.3"
- }
- },
- "node_modules/sort-keys": {
- "version": "1.1.2",
- "resolved": "https://registry.npmjs.org/sort-keys/-/sort-keys-1.1.2.tgz",
- "integrity": "sha512-vzn8aSqKgytVik0iwdBEi+zevbTYZogewTUM6dtpmGwEcdzbub/TX4bCzRhebDCRC3QzXgJsLRKB2V/Oof7HXg==",
- "dev": true,
- "dependencies": {
- "is-plain-obj": "^1.0.0"
- },
- "engines": {
- "node": ">=0.10.0"
- }
- },
- "node_modules/sort-keys-length": {
- "version": "1.0.1",
- "resolved": "https://registry.npmjs.org/sort-keys-length/-/sort-keys-length-1.0.1.tgz",
- "integrity": "sha512-GRbEOUqCxemTAk/b32F2xa8wDTs+Z1QHOkbhJDQTvv/6G3ZkbJ+frYWsTcc7cBB3Fu4wy4XlLCuNtJuMn7Gsvw==",
- "dev": true,
- "dependencies": {
- "sort-keys": "^1.0.0"
- },
- "engines": {
- "node": ">=0.10.0"
- }
- },
- "node_modules/source-map": {
- "version": "0.7.4",
- "resolved": "https://registry.npmjs.org/source-map/-/source-map-0.7.4.tgz",
- "integrity": "sha512-l3BikUxvPOcn5E74dZiq5BGsTb5yEwhaTSzccU6t4sDOH8NWJCstKO5QT2CvtFoK6F0saL7p9xHAqHOlCPJygA==",
- "dev": true,
- "engines": {
- "node": ">= 8"
- }
- },
- "node_modules/source-map-js": {
- "version": "1.2.0",
- "resolved": "https://registry.npmjs.org/source-map-js/-/source-map-js-1.2.0.tgz",
- "integrity": "sha512-itJW8lvSA0TXEphiRoawsCksnlf8SyvmFzIhltqAHluXd88pkCd+cXJVHTDwdCr0IzwptSm035IHQktUu1QUMg==",
- "engines": {
- "node": ">=0.10.0"
- }
- },
- "node_modules/space-separated-tokens": {
- "version": "2.0.2",
- "resolved": "https://registry.npmjs.org/space-separated-tokens/-/space-separated-tokens-2.0.2.tgz",
- "integrity": "sha512-PEGlAwrG8yXGXRjW32fGbg66JAlOAwbObuqVoJpv/mRgoWDQfgH1wDPvtzWyUSNAXBGSk8h755YDbbcEy3SH2Q==",
- "funding": {
- "type": "github",
- "url": "https://github.com/sponsors/wooorm"
- }
- },
- "node_modules/speech-rule-engine": {
- "version": "4.0.7",
- "resolved": "https://registry.npmjs.org/speech-rule-engine/-/speech-rule-engine-4.0.7.tgz",
- "integrity": "sha512-sJrL3/wHzNwJRLBdf6CjJWIlxC04iYKkyXvYSVsWVOiC2DSkHmxsqOhEeMsBA9XK+CHuNcsdkbFDnoUfAsmp9g==",
- "dependencies": {
- "commander": "9.2.0",
- "wicked-good-xpath": "1.3.0",
- "xmldom-sre": "0.1.31"
- },
- "bin": {
- "sre": "bin/sre"
- }
- },
- "node_modules/speech-rule-engine/node_modules/commander": {
- "version": "9.2.0",
- "resolved": "https://registry.npmjs.org/commander/-/commander-9.2.0.tgz",
- "integrity": "sha512-e2i4wANQiSXgnrBlIatyHtP1odfUp0BbV5Y5nEGbxtIrStkEOAAzCUirvLBNXHLr7kwLvJl6V+4V3XV9x7Wd9w==",
- "engines": {
- "node": "^12.20.0 || >=14"
- }
- },
- "node_modules/stdin-discarder": {
- "version": "0.1.0",
- "resolved": "https://registry.npmjs.org/stdin-discarder/-/stdin-discarder-0.1.0.tgz",
- "integrity": "sha512-xhV7w8S+bUwlPTb4bAOUQhv8/cSS5offJuX8GQGq32ONF0ZtDWKfkdomM3HMRA+LhX6um/FZ0COqlwsjD53LeQ==",
- "dependencies": {
- "bl": "^5.0.0"
- },
- "engines": {
- "node": "^12.20.0 || ^14.13.1 || >=16.0.0"
- },
- "funding": {
- "url": "https://github.com/sponsors/sindresorhus"
- }
- },
- "node_modules/stop-iteration-iterator": {
- "version": "1.0.0",
- "resolved": "https://registry.npmjs.org/stop-iteration-iterator/-/stop-iteration-iterator-1.0.0.tgz",
- "integrity": "sha512-iCGQj+0l0HOdZ2AEeBADlsRC+vsnDsZsbdSiH1yNSjcfKM7fdpCMfqAL/dwF5BLiw/XhRft/Wax6zQbhq2BcjQ==",
- "dev": true,
- "dependencies": {
- "internal-slot": "^1.0.4"
- },
- "engines": {
- "node": ">= 0.4"
- }
- },
- "node_modules/string_decoder": {
- "version": "1.3.0",
- "resolved": "https://registry.npmjs.org/string_decoder/-/string_decoder-1.3.0.tgz",
- "integrity": "sha512-hkRX8U1WjJFd8LsDJ2yQ/wWWxaopEsABU1XfkM8A+j0+85JAGppt16cr1Whg6KIbb4okU6Mql6BOj+uup/wKeA==",
- "dependencies": {
- "safe-buffer": "~5.2.0"
- }
- },
- "node_modules/string-width": {
- "version": "4.2.3",
- "resolved": "https://registry.npmjs.org/string-width/-/string-width-4.2.3.tgz",
- "integrity": "sha512-wKyQRQpjJ0sIp62ErSZdGsjMJWsap5oRNihHhu6G7JVO/9jIB6UyevL+tXuOqrng8j/cxKTWyWUwvSTriiZz/g==",
- "dependencies": {
- "emoji-regex": "^8.0.0",
- "is-fullwidth-code-point": "^3.0.0",
- "strip-ansi": "^6.0.1"
- },
- "engines": {
- "node": ">=8"
- }
- },
- "node_modules/string-width-cjs": {
- "name": "string-width",
- "version": "4.2.3",
- "resolved": "https://registry.npmjs.org/string-width/-/string-width-4.2.3.tgz",
- "integrity": "sha512-wKyQRQpjJ0sIp62ErSZdGsjMJWsap5oRNihHhu6G7JVO/9jIB6UyevL+tXuOqrng8j/cxKTWyWUwvSTriiZz/g==",
- "dependencies": {
- "emoji-regex": "^8.0.0",
- "is-fullwidth-code-point": "^3.0.0",
- "strip-ansi": "^6.0.1"
- },
- "engines": {
- "node": ">=8"
- }
- },
- "node_modules/strip-ansi": {
- "version": "6.0.1",
- "resolved": "https://registry.npmjs.org/strip-ansi/-/strip-ansi-6.0.1.tgz",
- "integrity": "sha512-Y38VPSHcqkFrCpFnQ9vuSXmquuv5oXOKpGeT6aGrr3o3Gc9AlVa6JBfUSOCnbxGGZF+/0ooI7KrPuUSztUdU5A==",
- "dependencies": {
- "ansi-regex": "^5.0.1"
- },
- "engines": {
- "node": ">=8"
- }
- },
- "node_modules/strip-ansi-cjs": {
- "name": "strip-ansi",
- "version": "6.0.1",
- "resolved": "https://registry.npmjs.org/strip-ansi/-/strip-ansi-6.0.1.tgz",
- "integrity": "sha512-Y38VPSHcqkFrCpFnQ9vuSXmquuv5oXOKpGeT6aGrr3o3Gc9AlVa6JBfUSOCnbxGGZF+/0ooI7KrPuUSztUdU5A==",
- "dependencies": {
- "ansi-regex": "^5.0.1"
- },
- "engines": {
- "node": ">=8"
- }
- },
- "node_modules/strip-bom": {
- "version": "3.0.0",
- "resolved": "https://registry.npmjs.org/strip-bom/-/strip-bom-3.0.0.tgz",
- "integrity": "sha512-vavAMRXOgBVNF6nyEEmL3DBK19iRpDcoIwW+swQ+CbGiu7lju6t+JklA1MHweoWtadgt4ISVUsXLyDq34ddcwA==",
- "engines": {
- "node": ">=4"
- }
- },
- "node_modules/strip-eof": {
- "version": "1.0.0",
- "resolved": "https://registry.npmjs.org/strip-eof/-/strip-eof-1.0.0.tgz",
- "integrity": "sha512-7FCwGGmx8mD5xQd3RPUvnSpUXHM3BWuzjtpD4TXsfcZ9EL4azvVVUscFYwD9nx8Kh+uCBC00XBtAykoMHwTh8Q==",
- "dev": true,
- "engines": {
- "node": ">=0.10.0"
- }
- },
- "node_modules/strip-final-newline": {
- "version": "2.0.0",
- "resolved": "https://registry.npmjs.org/strip-final-newline/-/strip-final-newline-2.0.0.tgz",
- "integrity": "sha512-BrpvfNAE3dcvq7ll3xVumzjKjZQ5tI1sEUIKr3Uoks0XUl45St3FlatVqef9prk4jRDzhW6WZg+3bk93y6pLjA==",
- "dev": true,
- "engines": {
- "node": ">=6"
- }
- },
- "node_modules/strip-indent": {
- "version": "3.0.0",
- "resolved": "https://registry.npmjs.org/strip-indent/-/strip-indent-3.0.0.tgz",
- "integrity": "sha512-laJTa3Jb+VQpaC6DseHhF7dXVqHTfJPCRDaEbid/drOhgitgYku/letMUqOXFoWV0zIIUbjpdH2t+tYj4bQMRQ==",
- "dev": true,
- "dependencies": {
- "min-indent": "^1.0.0"
- },
- "engines": {
- "node": ">=8"
- }
- },
- "node_modules/strip-json-comments": {
- "version": "3.1.1",
- "resolved": "https://registry.npmjs.org/strip-json-comments/-/strip-json-comments-3.1.1.tgz",
- "integrity": "sha512-6fPc+R4ihwqP6N/aIv2f1gMH8lOVtWQHoqC4yK6oSDVVocumAsfCqjkXnqiYMhmMwS/mEHLp7Vehlt3ql6lEig==",
- "dev": true,
- "engines": {
- "node": ">=8"
- },
- "funding": {
- "url": "https://github.com/sponsors/sindresorhus"
- }
- },
- "node_modules/strip-outer": {
- "version": "2.0.0",
- "resolved": "https://registry.npmjs.org/strip-outer/-/strip-outer-2.0.0.tgz",
- "integrity": "sha512-A21Xsm1XzUkK0qK1ZrytDUvqsQWict2Cykhvi0fBQntGG5JSprESasEyV1EZ/4CiR5WB5KjzLTrP/bO37B0wPg==",
- "dev": true,
- "engines": {
- "node": "^12.20.0 || ^14.13.1 || >=16.0.0"
- },
- "funding": {
- "url": "https://github.com/sponsors/sindresorhus"
- }
- },
- "node_modules/strtok3": {
- "version": "7.0.0",
- "resolved": "https://registry.npmjs.org/strtok3/-/strtok3-7.0.0.tgz",
- "integrity": "sha512-pQ+V+nYQdC5H3Q7qBZAz/MO6lwGhoC2gOAjuouGf/VO0m7vQRh8QNMl2Uf6SwAtzZ9bOw3UIeBukEGNJl5dtXQ==",
- "dev": true,
- "dependencies": {
- "@tokenizer/token": "^0.3.0",
- "peek-readable": "^5.0.0"
- },
- "engines": {
- "node": ">=14.16"
- },
- "funding": {
- "type": "github",
- "url": "https://github.com/sponsors/Borewit"
- }
- },
- "node_modules/style-to-object": {
- "version": "0.4.4",
- "resolved": "https://registry.npmjs.org/style-to-object/-/style-to-object-0.4.4.tgz",
- "integrity": "sha512-HYNoHZa2GorYNyqiCaBgsxvcJIn7OHq6inEga+E6Ke3m5JkoqpQbnFssk4jwe+K7AhGa2fcha4wSOf1Kn01dMg==",
- "dependencies": {
- "inline-style-parser": "0.1.1"
- }
- },
- "node_modules/sucrase": {
- "version": "3.35.0",
- "resolved": "https://registry.npmjs.org/sucrase/-/sucrase-3.35.0.tgz",
- "integrity": "sha512-8EbVDiu9iN/nESwxeSxDKe0dunta1GOlHufmSSXxMD2z2/tMZpDMpvXQGsc+ajGo8y2uYUmixaSRUc/QPoQ0GA==",
- "dependencies": {
- "@jridgewell/gen-mapping": "^0.3.2",
- "commander": "^4.0.0",
- "glob": "^10.3.10",
- "lines-and-columns": "^1.1.6",
- "mz": "^2.7.0",
- "pirates": "^4.0.1",
- "ts-interface-checker": "^0.1.9"
- },
- "bin": {
- "sucrase": "bin/sucrase",
- "sucrase-node": "bin/sucrase-node"
- },
- "engines": {
- "node": ">=16 || 14 >=14.17"
- }
- },
- "node_modules/sucrase/node_modules/commander": {
- "version": "4.1.1",
- "resolved": "https://registry.npmjs.org/commander/-/commander-4.1.1.tgz",
- "integrity": "sha512-NOKm8xhkzAjzFx8B2v5OAHT+u5pRQc2UCa2Vq9jYL/31o2wi9mxBA7LIFs3sV5VSC49z6pEhfbMULvShKj26WA==",
- "engines": {
- "node": ">= 6"
- }
- },
- "node_modules/sucrase/node_modules/glob": {
- "version": "10.3.16",
- "resolved": "https://registry.npmjs.org/glob/-/glob-10.3.16.tgz",
- "integrity": "sha512-JDKXl1DiuuHJ6fVS2FXjownaavciiHNUU4mOvV/B793RLh05vZL1rcPnCSaOgv1hDT6RDlY7AB7ZUvFYAtPgAw==",
- "dependencies": {
- "foreground-child": "^3.1.0",
- "jackspeak": "^3.1.2",
- "minimatch": "^9.0.1",
- "minipass": "^7.0.4",
- "path-scurry": "^1.11.0"
- },
- "bin": {
- "glob": "dist/esm/bin.mjs"
- },
- "engines": {
- "node": ">=16 || 14 >=14.18"
- },
- "funding": {
- "url": "https://github.com/sponsors/isaacs"
- }
- },
- "node_modules/sucrase/node_modules/minipass": {
- "version": "7.1.1",
- "resolved": "https://registry.npmjs.org/minipass/-/minipass-7.1.1.tgz",
- "integrity": "sha512-UZ7eQ+h8ywIRAW1hIEl2AqdwzJucU/Kp59+8kkZeSvafXhZjul247BvIJjEVFVeON6d7lM46XX1HXCduKAS8VA==",
- "engines": {
- "node": ">=16 || 14 >=14.17"
- }
- },
- "node_modules/sugar-high": {
- "version": "0.6.1",
- "resolved": "https://registry.npmjs.org/sugar-high/-/sugar-high-0.6.1.tgz",
- "integrity": "sha512-kg1qMW7WwJcueXIlHkChL/p2EWY3gf8rQmP6n5nUq2TWVqatqDTMLvViS9WgAjgyTKH5/3/b8sRwWPOOAo1zMA=="
- },
- "node_modules/supports-color": {
- "version": "5.5.0",
- "resolved": "https://registry.npmjs.org/supports-color/-/supports-color-5.5.0.tgz",
- "integrity": "sha512-QjVjwdXIt408MIiAqCX4oUKsgU2EqAGzs2Ppkm4aQYbjm+ZEWEcW4SfFNTr4uMNZma0ey4f5lgLrkB0aX0QMow==",
- "dependencies": {
- "has-flag": "^3.0.0"
- },
- "engines": {
- "node": ">=4"
- }
- },
- "node_modules/supports-preserve-symlinks-flag": {
- "version": "1.0.0",
- "resolved": "https://registry.npmjs.org/supports-preserve-symlinks-flag/-/supports-preserve-symlinks-flag-1.0.0.tgz",
- "integrity": "sha512-ot0WnXS9fgdkgIcePe6RHNk1WA8+muPa6cSjeR3V8K27q9BB1rTE3R1p7Hv0z1ZyAc8s6Vvv8DIyWf681MAt0w==",
- "engines": {
- "node": ">= 0.4"
- },
- "funding": {
- "url": "https://github.com/sponsors/ljharb"
- }
- },
- "node_modules/svg-parser": {
- "version": "2.0.4",
- "resolved": "https://registry.npmjs.org/svg-parser/-/svg-parser-2.0.4.tgz",
- "integrity": "sha512-e4hG1hRwoOdRb37cIMSgzNsxyzKfayW6VOflrwvR+/bzrkyxY/31WkbgnQpgtrNp1SdpJvpUAGTa/ZoiPNDuRQ=="
- },
- "node_modules/symbol-tree": {
- "version": "3.2.4",
- "resolved": "https://registry.npmjs.org/symbol-tree/-/symbol-tree-3.2.4.tgz",
- "integrity": "sha512-9QNk5KwDF+Bvz+PyObkmSYjI5ksVUYtjW7AU22r2NKcfLJcXp96hkDWU3+XndOsUb+AQ9QhfzfCT2O+CNWT5Tw=="
- },
- "node_modules/tailwind-merge": {
- "version": "1.14.0",
- "resolved": "https://registry.npmjs.org/tailwind-merge/-/tailwind-merge-1.14.0.tgz",
- "integrity": "sha512-3mFKyCo/MBcgyOTlrY8T7odzZFx+w+qKSMAmdFzRvqBfLlSigU6TZnlFHK0lkMwj9Bj8OYU+9yW9lmGuS0QEnQ==",
- "funding": {
- "type": "github",
- "url": "https://github.com/sponsors/dcastil"
- }
- },
- "node_modules/tailwindcss": {
- "version": "3.4.3",
- "resolved": "https://registry.npmjs.org/tailwindcss/-/tailwindcss-3.4.3.tgz",
- "integrity": "sha512-U7sxQk/n397Bmx4JHbJx/iSOOv5G+II3f1kpLpY2QeUv5DcPdcTsYLlusZfq1NthHS1c1cZoyFmmkex1rzke0A==",
- "dependencies": {
- "@alloc/quick-lru": "^5.2.0",
- "arg": "^5.0.2",
- "chokidar": "^3.5.3",
- "didyoumean": "^1.2.2",
- "dlv": "^1.1.3",
- "fast-glob": "^3.3.0",
- "glob-parent": "^6.0.2",
- "is-glob": "^4.0.3",
- "jiti": "^1.21.0",
- "lilconfig": "^2.1.0",
- "micromatch": "^4.0.5",
- "normalize-path": "^3.0.0",
- "object-hash": "^3.0.0",
- "picocolors": "^1.0.0",
- "postcss": "^8.4.23",
- "postcss-import": "^15.1.0",
- "postcss-js": "^4.0.1",
- "postcss-load-config": "^4.0.1",
- "postcss-nested": "^6.0.1",
- "postcss-selector-parser": "^6.0.11",
- "resolve": "^1.22.2",
- "sucrase": "^3.32.0"
- },
- "bin": {
- "tailwind": "lib/cli.js",
- "tailwindcss": "lib/cli.js"
- },
- "engines": {
- "node": ">=14.0.0"
- }
- },
- "node_modules/tailwindcss-animate": {
- "version": "1.0.7",
- "resolved": "https://registry.npmjs.org/tailwindcss-animate/-/tailwindcss-animate-1.0.7.tgz",
- "integrity": "sha512-bl6mpH3T7I3UFxuvDEXLxy/VuFxBk5bbzplh7tXI68mwMokNYd1t9qPBHlnyTwfa4JGC4zP516I1hYYtQ/vspA==",
- "peerDependencies": {
- "tailwindcss": ">=3.0.0 || insiders"
- }
- },
- "node_modules/tailwindcss-dotted-background": {
- "version": "1.1.0",
- "resolved": "https://registry.npmjs.org/tailwindcss-dotted-background/-/tailwindcss-dotted-background-1.1.0.tgz",
- "integrity": "sha512-uFzCW5Bpyn8XgppTkyzqdHecH7XCDaS/eXvegDrOCYE6PxTm7dRrD9cuUcZe6mxQFVfkLu9rDmHJdqbjz9FdLA==",
- "dev": true,
- "peerDependencies": {
- "tailwindcss": "^3.0.0"
- }
- },
- "node_modules/tailwindcss/node_modules/postcss-selector-parser": {
- "version": "6.1.0",
- "resolved": "https://registry.npmjs.org/postcss-selector-parser/-/postcss-selector-parser-6.1.0.tgz",
- "integrity": "sha512-UMz42UD0UY0EApS0ZL9o1XnLhSTtvvvLe5Dc2H2O56fvRZi+KulDyf5ctDhhtYJBGKStV2FL1fy6253cmLgqVQ==",
- "dependencies": {
- "cssesc": "^3.0.0",
- "util-deprecate": "^1.0.2"
- },
- "engines": {
- "node": ">=4"
- }
- },
- "node_modules/tar": {
- "version": "6.2.1",
- "resolved": "https://registry.npmjs.org/tar/-/tar-6.2.1.tgz",
- "integrity": "sha512-DZ4yORTwrbTj/7MZYq2w+/ZFdI6OZ/f9SFHR+71gIVUZhOQPHzVCLpvRnPgyaMpfWxxk/4ONva3GQSyNIKRv6A==",
- "optional": true,
- "dependencies": {
- "chownr": "^2.0.0",
- "fs-minipass": "^2.0.0",
- "minipass": "^5.0.0",
- "minizlib": "^2.1.1",
- "mkdirp": "^1.0.3",
- "yallist": "^4.0.0"
- },
- "engines": {
- "node": ">=10"
- }
- },
- "node_modules/tar/node_modules/yallist": {
- "version": "4.0.0",
- "resolved": "https://registry.npmjs.org/yallist/-/yallist-4.0.0.tgz",
- "integrity": "sha512-3wdGidZyq5PB084XLES5TpOSRA3wjXAlIWMhum2kRcv/41Sn2emQ0dycQW4uZXLejwKvg6EsvbdlVL+FYEct7A==",
- "optional": true
- },
- "node_modules/text-table": {
- "version": "0.2.0",
- "resolved": "https://registry.npmjs.org/text-table/-/text-table-0.2.0.tgz",
- "integrity": "sha512-N+8UisAXDGk8PFXP4HAzVR9nbfmVJ3zYLAWiTIoqC5v5isinhr+r5uaO8+7r3BMfuNIufIsA7RdpVgacC2cSpw==",
- "dev": true
- },
- "node_modules/thenify": {
- "version": "3.3.1",
- "resolved": "https://registry.npmjs.org/thenify/-/thenify-3.3.1.tgz",
- "integrity": "sha512-RVZSIV5IG10Hk3enotrhvz0T9em6cyHBLkH/YAZuKqd8hRkKhSfCGIcP2KUY0EPxndzANBmNllzWPwak+bheSw==",
- "dependencies": {
- "any-promise": "^1.0.0"
- }
- },
- "node_modules/thenify-all": {
- "version": "1.6.0",
- "resolved": "https://registry.npmjs.org/thenify-all/-/thenify-all-1.6.0.tgz",
- "integrity": "sha512-RNxQH/qI8/t3thXJDwcstUO4zeqo64+Uy/+sNVRBx4Xn2OX+OZ9oP+iJnNFqplFra2ZUVeKCSa2oVWi3T4uVmA==",
- "dependencies": {
- "thenify": ">= 3.1.0 < 4"
- },
- "engines": {
- "node": ">=0.8"
- }
- },
- "node_modules/tiny-invariant": {
- "version": "1.3.3",
- "resolved": "https://registry.npmjs.org/tiny-invariant/-/tiny-invariant-1.3.3.tgz",
- "integrity": "sha512-+FbBPE1o9QAYvviau/qC5SE3caw21q3xkvWKBtja5vgqOWIHHJ3ioaq1VPfn/Szqctz2bU/oYeKd9/z5BL+PVg=="
- },
- "node_modules/tiny-warning": {
- "version": "1.0.3",
- "resolved": "https://registry.npmjs.org/tiny-warning/-/tiny-warning-1.0.3.tgz",
- "integrity": "sha512-lBN9zLN/oAf68o3zNXYrdCt1kP8WsiGW8Oo2ka41b2IM5JL/S1CTyX1rW0mb/zSuJun0ZUrDxx4sqvYS2FWzPA=="
- },
- "node_modules/to-fast-properties": {
- "version": "2.0.0",
- "resolved": "https://registry.npmjs.org/to-fast-properties/-/to-fast-properties-2.0.0.tgz",
- "integrity": "sha512-/OaKK0xYrs3DmxRYqL/yDc+FxFUVYhDlXMhRmv3z915w2HF1tnN1omB354j8VUGO/hbRzyD6Y3sA7v7GS/ceog==",
- "engines": {
- "node": ">=4"
- }
- },
- "node_modules/to-regex-range": {
- "version": "5.0.1",
- "resolved": "https://registry.npmjs.org/to-regex-range/-/to-regex-range-5.0.1.tgz",
- "integrity": "sha512-65P7iz6X5yEr1cwcgvQxbbIw7Uk3gOy5dIdtZ4rDveLqhrdJP+Li/Hx6tyK0NEb+2GCyneCMJiGqrADCSNk8sQ==",
- "dependencies": {
- "is-number": "^7.0.0"
- },
- "engines": {
- "node": ">=8.0"
- }
- },
- "node_modules/token-types": {
- "version": "5.0.1",
- "resolved": "https://registry.npmjs.org/token-types/-/token-types-5.0.1.tgz",
- "integrity": "sha512-Y2fmSnZjQdDb9W4w4r1tswlMHylzWIeOKpx0aZH9BgGtACHhrk3OkT52AzwcuqTRBZtvvnTjDBh8eynMulu8Vg==",
- "dev": true,
- "dependencies": {
- "@tokenizer/token": "^0.3.0",
- "ieee754": "^1.2.1"
- },
- "engines": {
- "node": ">=14.16"
- },
- "funding": {
- "type": "github",
- "url": "https://github.com/sponsors/Borewit"
- }
- },
- "node_modules/tough-cookie": {
- "version": "4.1.4",
- "resolved": "https://registry.npmjs.org/tough-cookie/-/tough-cookie-4.1.4.tgz",
- "integrity": "sha512-Loo5UUvLD9ScZ6jh8beX1T6sO1w2/MpCRpEP7V280GKMVUQ0Jzar2U3UJPsrdbziLEMMhu3Ujnq//rhiFuIeag==",
- "dependencies": {
- "psl": "^1.1.33",
- "punycode": "^2.1.1",
- "universalify": "^0.2.0",
- "url-parse": "^1.5.3"
- },
- "engines": {
- "node": ">=6"
- }
- },
- "node_modules/tough-cookie/node_modules/universalify": {
- "version": "0.2.0",
- "resolved": "https://registry.npmjs.org/universalify/-/universalify-0.2.0.tgz",
- "integrity": "sha512-CJ1QgKmNg3CwvAv/kOFmtnEN05f0D/cn9QntgNOQlQF9dgvVTHj3t+8JPdjqawCHk7V/KA+fbUqzZ9XWhcqPUg==",
- "engines": {
- "node": ">= 4.0.0"
- }
- },
- "node_modules/tr46": {
- "version": "0.0.3",
- "resolved": "https://registry.npmjs.org/tr46/-/tr46-0.0.3.tgz",
- "integrity": "sha512-N3WMsuqV66lT30CrXNbEjx4GEwlow3v6rr4mCcv6prnfwhS01rkgyFdjPNBYd9br7LpXV1+Emh01fHnq2Gdgrw=="
- },
- "node_modules/trim-lines": {
- "version": "3.0.1",
- "resolved": "https://registry.npmjs.org/trim-lines/-/trim-lines-3.0.1.tgz",
- "integrity": "sha512-kRj8B+YHZCc9kQYdWfJB2/oUl9rA99qbowYYBtr4ui4mZyAQ2JpvVBd/6U2YloATfqBhBTSMhTpgBHtU0Mf3Rg==",
- "funding": {
- "type": "github",
- "url": "https://github.com/sponsors/wooorm"
- }
- },
- "node_modules/trim-repeated": {
- "version": "2.0.0",
- "resolved": "https://registry.npmjs.org/trim-repeated/-/trim-repeated-2.0.0.tgz",
- "integrity": "sha512-QUHBFTJGdOwmp0tbOG505xAgOp/YliZP/6UgafFXYZ26WT1bvQmSMJUvkeVSASuJJHbqsFbynTvkd5W8RBTipg==",
- "dev": true,
- "dependencies": {
- "escape-string-regexp": "^5.0.0"
- },
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/trim-repeated/node_modules/escape-string-regexp": {
- "version": "5.0.0",
- "resolved": "https://registry.npmjs.org/escape-string-regexp/-/escape-string-regexp-5.0.0.tgz",
- "integrity": "sha512-/veY75JbMK4j1yjvuUxuVsiS/hr/4iHs9FTT6cgTexxdE0Ly/glccBAkloH/DofkjRbZU3bnoj38mOmhkZ0lHw==",
- "dev": true,
- "engines": {
- "node": ">=12"
- },
- "funding": {
- "url": "https://github.com/sponsors/sindresorhus"
- }
- },
- "node_modules/trough": {
- "version": "2.2.0",
- "resolved": "https://registry.npmjs.org/trough/-/trough-2.2.0.tgz",
- "integrity": "sha512-tmMpK00BjZiUyVyvrBK7knerNgmgvcV/KLVyuma/SC+TQN167GrMRciANTz09+k3zW8L8t60jWO1GpfkZdjTaw==",
- "funding": {
- "type": "github",
- "url": "https://github.com/sponsors/wooorm"
- }
- },
- "node_modules/ts-interface-checker": {
- "version": "0.1.13",
- "resolved": "https://registry.npmjs.org/ts-interface-checker/-/ts-interface-checker-0.1.13.tgz",
- "integrity": "sha512-Y/arvbn+rrz3JCKl9C4kVNfTfSm2/mEp5FSz5EsZSANGPSlQrpRI5M4PKF+mJnE52jOO90PnPSc3Ur3bTQw0gA=="
- },
- "node_modules/ts-morph": {
- "version": "18.0.0",
- "resolved": "https://registry.npmjs.org/ts-morph/-/ts-morph-18.0.0.tgz",
- "integrity": "sha512-Kg5u0mk19PIIe4islUI/HWRvm9bC1lHejK4S0oh1zaZ77TMZAEmQC0sHQYiu2RgCQFZKXz1fMVi/7nOOeirznA==",
- "dependencies": {
- "@ts-morph/common": "~0.19.0",
- "code-block-writer": "^12.0.0"
- }
- },
- "node_modules/tsconfig-paths": {
- "version": "4.2.0",
- "resolved": "https://registry.npmjs.org/tsconfig-paths/-/tsconfig-paths-4.2.0.tgz",
- "integrity": "sha512-NoZ4roiN7LnbKn9QqE1amc9DJfzvZXxF4xDavcOWt1BPkdx+m+0gJuPM+S0vCe7zTJMYUP0R8pO2XMr+Y8oLIg==",
- "dependencies": {
- "json5": "^2.2.2",
- "minimist": "^1.2.6",
- "strip-bom": "^3.0.0"
- },
- "engines": {
- "node": ">=6"
- }
- },
- "node_modules/tslib": {
- "version": "2.6.2",
- "resolved": "https://registry.npmjs.org/tslib/-/tslib-2.6.2.tgz",
- "integrity": "sha512-AEYxH93jGFPn/a2iVAwW87VuUIkR1FVUKB77NwMF7nBTDkDrrT/Hpt/IrCJ0QXhW27jTBDcf5ZY7w6RiqTMw2Q=="
- },
- "node_modules/type-check": {
- "version": "0.4.0",
- "resolved": "https://registry.npmjs.org/type-check/-/type-check-0.4.0.tgz",
- "integrity": "sha512-XleUoc9uwGXqjWwXaUTZAmzMcFZ5858QA2vvx1Ur5xIcixXIP+8LnFDgRplU30us6teqdlskFfu+ae4K79Ooew==",
- "dev": true,
- "dependencies": {
- "prelude-ls": "^1.2.1"
- },
- "engines": {
- "node": ">= 0.8.0"
- }
- },
- "node_modules/type-fest": {
- "version": "0.20.2",
- "resolved": "https://registry.npmjs.org/type-fest/-/type-fest-0.20.2.tgz",
- "integrity": "sha512-Ne+eE4r0/iWnpAxD852z3A+N0Bt5RN//NjJwRd2VFHEmrywxf5vsZlh4R6lixl6B+wz/8d+maTSAkN1FIkI3LQ==",
- "dev": true,
- "engines": {
- "node": ">=10"
- },
- "funding": {
- "url": "https://github.com/sponsors/sindresorhus"
- }
- },
- "node_modules/typescript": {
- "version": "5.4.5",
- "resolved": "https://registry.npmjs.org/typescript/-/typescript-5.4.5.tgz",
- "integrity": "sha512-vcI4UpRgg81oIRUFwR0WSIHKt11nJ7SAVlYNIu+QpqeyXP+gpQJy/Z4+F0aGxSE4MqwjyXvW/TzgkLAx2AGHwQ==",
- "devOptional": true,
- "bin": {
- "tsc": "bin/tsc",
- "tsserver": "bin/tsserver"
- },
- "engines": {
- "node": ">=14.17"
- }
- },
- "node_modules/ua-parser-js": {
- "version": "1.0.37",
- "resolved": "https://registry.npmjs.org/ua-parser-js/-/ua-parser-js-1.0.37.tgz",
- "integrity": "sha512-bhTyI94tZofjo+Dn8SN6Zv8nBDvyXTymAdM3LDI/0IboIUwTu1rEhW7v2TfiVsoYWgkQ4kOVqnI8APUFbIQIFQ==",
- "dev": true,
- "funding": [
- {
- "type": "opencollective",
- "url": "https://opencollective.com/ua-parser-js"
- },
- {
- "type": "paypal",
- "url": "https://paypal.me/faisalman"
- },
- {
- "type": "github",
- "url": "https://github.com/sponsors/faisalman"
- }
- ],
- "engines": {
- "node": "*"
- }
- },
- "node_modules/undici": {
- "version": "6.18.1",
- "resolved": "https://registry.npmjs.org/undici/-/undici-6.18.1.tgz",
- "integrity": "sha512-/0BWqR8rJNRysS5lqVmfc7eeOErcOP4tZpATVjJOojjHZ71gSYVAtFhEmadcIjwMIUehh5NFyKGsXCnXIajtbA==",
- "engines": {
- "node": ">=18.17"
- }
- },
- "node_modules/unified": {
- "version": "10.1.2",
- "resolved": "https://registry.npmjs.org/unified/-/unified-10.1.2.tgz",
- "integrity": "sha512-pUSWAi/RAnVy1Pif2kAoeWNBa3JVrx0MId2LASj8G+7AiHWoKZNTomq6LG326T68U7/e263X6fTdcXIy7XnF7Q==",
- "dependencies": {
- "@types/unist": "^2.0.0",
- "bail": "^2.0.0",
- "extend": "^3.0.0",
- "is-buffer": "^2.0.0",
- "is-plain-obj": "^4.0.0",
- "trough": "^2.0.0",
- "vfile": "^5.0.0"
- },
- "funding": {
- "type": "opencollective",
- "url": "https://opencollective.com/unified"
- }
- },
- "node_modules/unified/node_modules/is-plain-obj": {
- "version": "4.1.0",
- "resolved": "https://registry.npmjs.org/is-plain-obj/-/is-plain-obj-4.1.0.tgz",
- "integrity": "sha512-+Pgi+vMuUNkJyExiMBt5IlFoMyKnr5zhJ4Uspz58WOhBF5QoIZkFyNHIbBAtHwzVAgk5RtndVNsDRN61/mmDqg==",
- "engines": {
- "node": ">=12"
- },
- "funding": {
- "url": "https://github.com/sponsors/sindresorhus"
- }
- },
- "node_modules/unist-util-find-after": {
- "version": "4.0.1",
- "resolved": "https://registry.npmjs.org/unist-util-find-after/-/unist-util-find-after-4.0.1.tgz",
- "integrity": "sha512-QO/PuPMm2ERxC6vFXEPtmAutOopy5PknD+Oq64gGwxKtk4xwo9Z97t9Av1obPmGU0IyTa6EKYUfTrK2QJS3Ozw==",
- "dependencies": {
- "@types/unist": "^2.0.0",
- "unist-util-is": "^5.0.0"
- },
- "funding": {
- "type": "opencollective",
- "url": "https://opencollective.com/unified"
- }
- },
- "node_modules/unist-util-generated": {
- "version": "2.0.1",
- "resolved": "https://registry.npmjs.org/unist-util-generated/-/unist-util-generated-2.0.1.tgz",
- "integrity": "sha512-qF72kLmPxAw0oN2fwpWIqbXAVyEqUzDHMsbtPvOudIlUzXYFIeQIuxXQCRCFh22B7cixvU0MG7m3MW8FTq/S+A==",
- "funding": {
- "type": "opencollective",
- "url": "https://opencollective.com/unified"
- }
- },
- "node_modules/unist-util-is": {
- "version": "5.2.1",
- "resolved": "https://registry.npmjs.org/unist-util-is/-/unist-util-is-5.2.1.tgz",
- "integrity": "sha512-u9njyyfEh43npf1M+yGKDGVPbY/JWEemg5nH05ncKPfi+kBbKBJoTdsogMu33uhytuLlv9y0O7GH7fEdwLdLQw==",
- "dependencies": {
- "@types/unist": "^2.0.0"
- },
- "funding": {
- "type": "opencollective",
- "url": "https://opencollective.com/unified"
- }
- },
- "node_modules/unist-util-position": {
- "version": "4.0.4",
- "resolved": "https://registry.npmjs.org/unist-util-position/-/unist-util-position-4.0.4.tgz",
- "integrity": "sha512-kUBE91efOWfIVBo8xzh/uZQ7p9ffYRtUbMRZBNFYwf0RK8koUMx6dGUfwylLOKmaT2cs4wSW96QoYUSXAyEtpg==",
- "dependencies": {
- "@types/unist": "^2.0.0"
- },
- "funding": {
- "type": "opencollective",
- "url": "https://opencollective.com/unified"
- }
- },
- "node_modules/unist-util-stringify-position": {
- "version": "3.0.3",
- "resolved": "https://registry.npmjs.org/unist-util-stringify-position/-/unist-util-stringify-position-3.0.3.tgz",
- "integrity": "sha512-k5GzIBZ/QatR8N5X2y+drfpWG8IDBzdnVj6OInRNWm1oXrzydiaAT2OQiA8DPRRZyAKb9b6I2a6PxYklZD0gKg==",
- "dependencies": {
- "@types/unist": "^2.0.0"
- },
- "funding": {
- "type": "opencollective",
- "url": "https://opencollective.com/unified"
- }
- },
- "node_modules/unist-util-visit": {
- "version": "4.1.2",
- "resolved": "https://registry.npmjs.org/unist-util-visit/-/unist-util-visit-4.1.2.tgz",
- "integrity": "sha512-MSd8OUGISqHdVvfY9TPhyK2VdUrPgxkUtWSuMHF6XAAFuL4LokseigBnZtPnJMu+FbynTkFNnFlyjxpVKujMRg==",
- "dependencies": {
- "@types/unist": "^2.0.0",
- "unist-util-is": "^5.0.0",
- "unist-util-visit-parents": "^5.1.1"
- },
- "funding": {
- "type": "opencollective",
- "url": "https://opencollective.com/unified"
- }
- },
- "node_modules/unist-util-visit-parents": {
- "version": "5.1.3",
- "resolved": "https://registry.npmjs.org/unist-util-visit-parents/-/unist-util-visit-parents-5.1.3.tgz",
- "integrity": "sha512-x6+y8g7wWMyQhL1iZfhIPhDAs7Xwbn9nRosDXl7qoPTSCy0yNxnKc+hWokFifWQIDGi154rdUqKvbCa4+1kLhg==",
- "dependencies": {
- "@types/unist": "^2.0.0",
- "unist-util-is": "^5.0.0"
- },
- "funding": {
- "type": "opencollective",
- "url": "https://opencollective.com/unified"
- }
- },
- "node_modules/universal-cookie": {
- "version": "4.0.4",
- "resolved": "https://registry.npmjs.org/universal-cookie/-/universal-cookie-4.0.4.tgz",
- "integrity": "sha512-lbRVHoOMtItjWbM7TwDLdl8wug7izB0tq3/YVKhT/ahB4VDvWMyvnADfnJI8y6fSvsjh51Ix7lTGC6Tn4rMPhw==",
- "dependencies": {
- "@types/cookie": "^0.3.3",
- "cookie": "^0.4.0"
- }
- },
- "node_modules/universalify": {
- "version": "2.0.1",
- "resolved": "https://registry.npmjs.org/universalify/-/universalify-2.0.1.tgz",
- "integrity": "sha512-gptHNQghINnc/vTGIk0SOFGFNXw7JVrlRUtConJRlvaw6DuX0wO5Jeko9sWrMBhh+PsYAZ7oXAiOnf/UKogyiw==",
- "engines": {
- "node": ">= 10.0.0"
- }
- },
- "node_modules/unplugin": {
- "version": "1.10.1",
- "resolved": "https://registry.npmjs.org/unplugin/-/unplugin-1.10.1.tgz",
- "integrity": "sha512-d6Mhq8RJeGA8UfKCu54Um4lFA0eSaRa3XxdAJg8tIdxbu1ubW0hBCZUL7yI2uGyYCRndvbK8FLHzqy2XKfeMsg==",
- "dependencies": {
- "acorn": "^8.11.3",
- "chokidar": "^3.6.0",
- "webpack-sources": "^3.2.3",
- "webpack-virtual-modules": "^0.6.1"
- },
- "engines": {
- "node": ">=14.0.0"
- }
- },
- "node_modules/update-browserslist-db": {
- "version": "1.0.16",
- "resolved": "https://registry.npmjs.org/update-browserslist-db/-/update-browserslist-db-1.0.16.tgz",
- "integrity": "sha512-KVbTxlBYlckhF5wgfyZXTWnMn7MMZjMu9XG8bPlliUOP9ThaF4QnhP8qrjrH7DRzHfSk0oQv1wToW+iA5GajEQ==",
- "funding": [
- {
- "type": "opencollective",
- "url": "https://opencollective.com/browserslist"
- },
- {
- "type": "tidelift",
- "url": "https://tidelift.com/funding/github/npm/browserslist"
- },
- {
- "type": "github",
- "url": "https://github.com/sponsors/ai"
- }
- ],
- "dependencies": {
- "escalade": "^3.1.2",
- "picocolors": "^1.0.1"
- },
- "bin": {
- "update-browserslist-db": "cli.js"
- },
- "peerDependencies": {
- "browserslist": ">= 4.21.0"
- }
- },
- "node_modules/uri-js": {
- "version": "4.4.1",
- "resolved": "https://registry.npmjs.org/uri-js/-/uri-js-4.4.1.tgz",
- "integrity": "sha512-7rKUyy33Q1yc98pQ1DAmLtwX109F7TIfWlW1Ydo8Wl1ii1SeHieeh0HHfPeL2fMXK6z0s8ecKs9frCuLJvndBg==",
- "dev": true,
- "dependencies": {
- "punycode": "^2.1.0"
- }
- },
- "node_modules/url-parse": {
- "version": "1.5.10",
- "resolved": "https://registry.npmjs.org/url-parse/-/url-parse-1.5.10.tgz",
- "integrity": "sha512-WypcfiRhfeUP9vvF0j6rw0J3hrWrw6iZv3+22h6iRMJ/8z1Tj6XfLP4DsUix5MhMPnXpiHDoKyoZ/bdCkwBCiQ==",
- "dependencies": {
- "querystringify": "^2.1.1",
- "requires-port": "^1.0.0"
- }
- },
- "node_modules/use-callback-ref": {
- "version": "1.3.2",
- "resolved": "https://registry.npmjs.org/use-callback-ref/-/use-callback-ref-1.3.2.tgz",
- "integrity": "sha512-elOQwe6Q8gqZgDA8mrh44qRTQqpIHDcZ3hXTLjBe1i4ph8XpNJnO+aQf3NaG+lriLopI4HMx9VjQLfPQ6vhnoA==",
- "dependencies": {
- "tslib": "^2.0.0"
- },
- "engines": {
- "node": ">=10"
- },
- "peerDependencies": {
- "@types/react": "^16.8.0 || ^17.0.0 || ^18.0.0",
- "react": "^16.8.0 || ^17.0.0 || ^18.0.0"
- },
- "peerDependenciesMeta": {
- "@types/react": {
- "optional": true
- }
- }
- },
- "node_modules/use-sidecar": {
- "version": "1.1.2",
- "resolved": "https://registry.npmjs.org/use-sidecar/-/use-sidecar-1.1.2.tgz",
- "integrity": "sha512-epTbsLuzZ7lPClpz2TyryBfztm7m+28DlEv2ZCQ3MDr5ssiwyOwGH/e5F9CkfWjJ1t4clvI58yF822/GUkjjhw==",
- "dependencies": {
- "detect-node-es": "^1.1.0",
- "tslib": "^2.0.0"
- },
- "engines": {
- "node": ">=10"
- },
- "peerDependencies": {
- "@types/react": "^16.9.0 || ^17.0.0 || ^18.0.0",
- "react": "^16.8.0 || ^17.0.0 || ^18.0.0"
- },
- "peerDependenciesMeta": {
- "@types/react": {
- "optional": true
- }
- }
- },
- "node_modules/use-sync-external-store": {
- "version": "1.2.0",
- "resolved": "https://registry.npmjs.org/use-sync-external-store/-/use-sync-external-store-1.2.0.tgz",
- "integrity": "sha512-eEgnFxGQ1Ife9bzYs6VLi8/4X6CObHMw9Qr9tPY43iKwsPw8xE8+EFsf/2cFZ5S3esXgpWgtSCtLNS41F+sKPA==",
- "peerDependencies": {
- "react": "^16.8.0 || ^17.0.0 || ^18.0.0"
- }
- },
- "node_modules/util-deprecate": {
- "version": "1.0.2",
- "resolved": "https://registry.npmjs.org/util-deprecate/-/util-deprecate-1.0.2.tgz",
- "integrity": "sha512-EPD5q1uXyFxJpCrLnCc1nHnq3gOa6DZBocAIiI2TaSCA7VCJ1UJDMagCzIkXNsUYfD1daK//LTEQ8xiIbrHtcw=="
- },
- "node_modules/uuid": {
- "version": "9.0.1",
- "resolved": "https://registry.npmjs.org/uuid/-/uuid-9.0.1.tgz",
- "integrity": "sha512-b+1eJOlsR9K8HJpow9Ok3fiWOWSIcIzXodvv0rQjVoOVNpWMpxf1wZNpt4y9h10odCNrqnYp1OBzRktckBe3sA==",
- "funding": [
- "https://github.com/sponsors/broofa",
- "https://github.com/sponsors/ctavan"
- ],
- "bin": {
- "uuid": "dist/bin/uuid"
- }
- },
- "node_modules/uvu": {
- "version": "0.5.6",
- "resolved": "https://registry.npmjs.org/uvu/-/uvu-0.5.6.tgz",
- "integrity": "sha512-+g8ENReyr8YsOc6fv/NVJs2vFdHBnBNdfE49rshrTzDWOlUx4Gq7KOS2GD8eqhy2j+Ejq29+SbKH8yjkAqXqoA==",
- "dependencies": {
- "dequal": "^2.0.0",
- "diff": "^5.0.0",
- "kleur": "^4.0.3",
- "sade": "^1.7.3"
- },
- "bin": {
- "uvu": "bin.js"
- },
- "engines": {
- "node": ">=8"
- }
- },
- "node_modules/vfile": {
- "version": "5.3.7",
- "resolved": "https://registry.npmjs.org/vfile/-/vfile-5.3.7.tgz",
- "integrity": "sha512-r7qlzkgErKjobAmyNIkkSpizsFPYiUPuJb5pNW1RB4JcYVZhs4lIbVqk8XPk033CV/1z8ss5pkax8SuhGpcG8g==",
- "dependencies": {
- "@types/unist": "^2.0.0",
- "is-buffer": "^2.0.0",
- "unist-util-stringify-position": "^3.0.0",
- "vfile-message": "^3.0.0"
- },
- "funding": {
- "type": "opencollective",
- "url": "https://opencollective.com/unified"
- }
- },
- "node_modules/vfile-message": {
- "version": "3.1.4",
- "resolved": "https://registry.npmjs.org/vfile-message/-/vfile-message-3.1.4.tgz",
- "integrity": "sha512-fa0Z6P8HUrQN4BZaX05SIVXic+7kE3b05PWAtPuYP9QLHsLKYR7/AlLW3NtOrpXRLeawpDLMsVkmk5DG0NXgWw==",
- "dependencies": {
- "@types/unist": "^2.0.0",
- "unist-util-stringify-position": "^3.0.0"
- },
- "funding": {
- "type": "opencollective",
- "url": "https://opencollective.com/unified"
- }
- },
- "node_modules/vite": {
- "version": "4.5.3",
- "resolved": "https://registry.npmjs.org/vite/-/vite-4.5.3.tgz",
- "integrity": "sha512-kQL23kMeX92v3ph7IauVkXkikdDRsYMGTVl5KY2E9OY4ONLvkHf04MDTbnfo6NKxZiDLWzVpP5oTa8hQD8U3dg==",
- "dependencies": {
- "esbuild": "^0.18.10",
- "postcss": "^8.4.27",
- "rollup": "^3.27.1"
- },
- "bin": {
- "vite": "bin/vite.js"
- },
- "engines": {
- "node": "^14.18.0 || >=16.0.0"
- },
- "funding": {
- "url": "https://github.com/vitejs/vite?sponsor=1"
- },
- "optionalDependencies": {
- "fsevents": "~2.3.2"
- },
- "peerDependencies": {
- "@types/node": ">= 14",
- "less": "*",
- "lightningcss": "^1.21.0",
- "sass": "*",
- "stylus": "*",
- "sugarss": "*",
- "terser": "^5.4.0"
- },
- "peerDependenciesMeta": {
- "@types/node": {
- "optional": true
- },
- "less": {
- "optional": true
- },
- "lightningcss": {
- "optional": true
- },
- "sass": {
- "optional": true
- },
- "stylus": {
- "optional": true
- },
- "sugarss": {
- "optional": true
- },
- "terser": {
- "optional": true
- }
- }
- },
- "node_modules/vite-plugin-svgr": {
- "version": "3.3.0",
- "resolved": "https://registry.npmjs.org/vite-plugin-svgr/-/vite-plugin-svgr-3.3.0.tgz",
- "integrity": "sha512-vWZMCcGNdPqgziYFKQ3Y95XP0d0YGp28+MM3Dp9cTa/px5CKcHHrIoPl2Jw81rgVm6/ZUNONzjXbZQZ7Kw66og==",
- "dependencies": {
- "@rollup/pluginutils": "^5.0.4",
- "@svgr/core": "^8.1.0",
- "@svgr/plugin-jsx": "^8.1.0"
- },
- "peerDependencies": {
- "vite": "^2.6.0 || 3 || 4"
- }
- },
- "node_modules/vite/node_modules/@esbuild/android-arm": {
- "version": "0.18.20",
- "resolved": "https://registry.npmjs.org/@esbuild/android-arm/-/android-arm-0.18.20.tgz",
- "integrity": "sha512-fyi7TDI/ijKKNZTUJAQqiG5T7YjJXgnzkURqmGj13C6dCqckZBLdl4h7bkhHt/t0WP+zO9/zwroDvANaOqO5Sw==",
- "cpu": [
- "arm"
- ],
- "optional": true,
- "os": [
- "android"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/vite/node_modules/@esbuild/android-arm64": {
- "version": "0.18.20",
- "resolved": "https://registry.npmjs.org/@esbuild/android-arm64/-/android-arm64-0.18.20.tgz",
- "integrity": "sha512-Nz4rJcchGDtENV0eMKUNa6L12zz2zBDXuhj/Vjh18zGqB44Bi7MBMSXjgunJgjRhCmKOjnPuZp4Mb6OKqtMHLQ==",
- "cpu": [
- "arm64"
- ],
- "optional": true,
- "os": [
- "android"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/vite/node_modules/@esbuild/android-x64": {
- "version": "0.18.20",
- "resolved": "https://registry.npmjs.org/@esbuild/android-x64/-/android-x64-0.18.20.tgz",
- "integrity": "sha512-8GDdlePJA8D6zlZYJV/jnrRAi6rOiNaCC/JclcXpB+KIuvfBN4owLtgzY2bsxnx666XjJx2kDPUmnTtR8qKQUg==",
- "cpu": [
- "x64"
- ],
- "optional": true,
- "os": [
- "android"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/vite/node_modules/@esbuild/darwin-arm64": {
- "version": "0.18.20",
- "resolved": "https://registry.npmjs.org/@esbuild/darwin-arm64/-/darwin-arm64-0.18.20.tgz",
- "integrity": "sha512-bxRHW5kHU38zS2lPTPOyuyTm+S+eobPUnTNkdJEfAddYgEcll4xkT8DB9d2008DtTbl7uJag2HuE5NZAZgnNEA==",
- "cpu": [
- "arm64"
- ],
- "optional": true,
- "os": [
- "darwin"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/vite/node_modules/@esbuild/darwin-x64": {
- "version": "0.18.20",
- "resolved": "https://registry.npmjs.org/@esbuild/darwin-x64/-/darwin-x64-0.18.20.tgz",
- "integrity": "sha512-pc5gxlMDxzm513qPGbCbDukOdsGtKhfxD1zJKXjCCcU7ju50O7MeAZ8c4krSJcOIJGFR+qx21yMMVYwiQvyTyQ==",
- "cpu": [
- "x64"
- ],
- "optional": true,
- "os": [
- "darwin"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/vite/node_modules/@esbuild/freebsd-arm64": {
- "version": "0.18.20",
- "resolved": "https://registry.npmjs.org/@esbuild/freebsd-arm64/-/freebsd-arm64-0.18.20.tgz",
- "integrity": "sha512-yqDQHy4QHevpMAaxhhIwYPMv1NECwOvIpGCZkECn8w2WFHXjEwrBn3CeNIYsibZ/iZEUemj++M26W3cNR5h+Tw==",
- "cpu": [
- "arm64"
- ],
- "optional": true,
- "os": [
- "freebsd"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/vite/node_modules/@esbuild/freebsd-x64": {
- "version": "0.18.20",
- "resolved": "https://registry.npmjs.org/@esbuild/freebsd-x64/-/freebsd-x64-0.18.20.tgz",
- "integrity": "sha512-tgWRPPuQsd3RmBZwarGVHZQvtzfEBOreNuxEMKFcd5DaDn2PbBxfwLcj4+aenoh7ctXcbXmOQIn8HI6mCSw5MQ==",
- "cpu": [
- "x64"
- ],
- "optional": true,
- "os": [
- "freebsd"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/vite/node_modules/@esbuild/linux-arm": {
- "version": "0.18.20",
- "resolved": "https://registry.npmjs.org/@esbuild/linux-arm/-/linux-arm-0.18.20.tgz",
- "integrity": "sha512-/5bHkMWnq1EgKr1V+Ybz3s1hWXok7mDFUMQ4cG10AfW3wL02PSZi5kFpYKrptDsgb2WAJIvRcDm+qIvXf/apvg==",
- "cpu": [
- "arm"
- ],
- "optional": true,
- "os": [
- "linux"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/vite/node_modules/@esbuild/linux-arm64": {
- "version": "0.18.20",
- "resolved": "https://registry.npmjs.org/@esbuild/linux-arm64/-/linux-arm64-0.18.20.tgz",
- "integrity": "sha512-2YbscF+UL7SQAVIpnWvYwM+3LskyDmPhe31pE7/aoTMFKKzIc9lLbyGUpmmb8a8AixOL61sQ/mFh3jEjHYFvdA==",
- "cpu": [
- "arm64"
- ],
- "optional": true,
- "os": [
- "linux"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/vite/node_modules/@esbuild/linux-ia32": {
- "version": "0.18.20",
- "resolved": "https://registry.npmjs.org/@esbuild/linux-ia32/-/linux-ia32-0.18.20.tgz",
- "integrity": "sha512-P4etWwq6IsReT0E1KHU40bOnzMHoH73aXp96Fs8TIT6z9Hu8G6+0SHSw9i2isWrD2nbx2qo5yUqACgdfVGx7TA==",
- "cpu": [
- "ia32"
- ],
- "optional": true,
- "os": [
- "linux"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/vite/node_modules/@esbuild/linux-loong64": {
- "version": "0.18.20",
- "resolved": "https://registry.npmjs.org/@esbuild/linux-loong64/-/linux-loong64-0.18.20.tgz",
- "integrity": "sha512-nXW8nqBTrOpDLPgPY9uV+/1DjxoQ7DoB2N8eocyq8I9XuqJ7BiAMDMf9n1xZM9TgW0J8zrquIb/A7s3BJv7rjg==",
- "cpu": [
- "loong64"
- ],
- "optional": true,
- "os": [
- "linux"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/vite/node_modules/@esbuild/linux-mips64el": {
- "version": "0.18.20",
- "resolved": "https://registry.npmjs.org/@esbuild/linux-mips64el/-/linux-mips64el-0.18.20.tgz",
- "integrity": "sha512-d5NeaXZcHp8PzYy5VnXV3VSd2D328Zb+9dEq5HE6bw6+N86JVPExrA6O68OPwobntbNJ0pzCpUFZTo3w0GyetQ==",
- "cpu": [
- "mips64el"
- ],
- "optional": true,
- "os": [
- "linux"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/vite/node_modules/@esbuild/linux-ppc64": {
- "version": "0.18.20",
- "resolved": "https://registry.npmjs.org/@esbuild/linux-ppc64/-/linux-ppc64-0.18.20.tgz",
- "integrity": "sha512-WHPyeScRNcmANnLQkq6AfyXRFr5D6N2sKgkFo2FqguP44Nw2eyDlbTdZwd9GYk98DZG9QItIiTlFLHJHjxP3FA==",
- "cpu": [
- "ppc64"
- ],
- "optional": true,
- "os": [
- "linux"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/vite/node_modules/@esbuild/linux-riscv64": {
- "version": "0.18.20",
- "resolved": "https://registry.npmjs.org/@esbuild/linux-riscv64/-/linux-riscv64-0.18.20.tgz",
- "integrity": "sha512-WSxo6h5ecI5XH34KC7w5veNnKkju3zBRLEQNY7mv5mtBmrP/MjNBCAlsM2u5hDBlS3NGcTQpoBvRzqBcRtpq1A==",
- "cpu": [
- "riscv64"
- ],
- "optional": true,
- "os": [
- "linux"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/vite/node_modules/@esbuild/linux-s390x": {
- "version": "0.18.20",
- "resolved": "https://registry.npmjs.org/@esbuild/linux-s390x/-/linux-s390x-0.18.20.tgz",
- "integrity": "sha512-+8231GMs3mAEth6Ja1iK0a1sQ3ohfcpzpRLH8uuc5/KVDFneH6jtAJLFGafpzpMRO6DzJ6AvXKze9LfFMrIHVQ==",
- "cpu": [
- "s390x"
- ],
- "optional": true,
- "os": [
- "linux"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/vite/node_modules/@esbuild/linux-x64": {
- "version": "0.18.20",
- "resolved": "https://registry.npmjs.org/@esbuild/linux-x64/-/linux-x64-0.18.20.tgz",
- "integrity": "sha512-UYqiqemphJcNsFEskc73jQ7B9jgwjWrSayxawS6UVFZGWrAAtkzjxSqnoclCXxWtfwLdzU+vTpcNYhpn43uP1w==",
- "cpu": [
- "x64"
- ],
- "optional": true,
- "os": [
- "linux"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/vite/node_modules/@esbuild/netbsd-x64": {
- "version": "0.18.20",
- "resolved": "https://registry.npmjs.org/@esbuild/netbsd-x64/-/netbsd-x64-0.18.20.tgz",
- "integrity": "sha512-iO1c++VP6xUBUmltHZoMtCUdPlnPGdBom6IrO4gyKPFFVBKioIImVooR5I83nTew5UOYrk3gIJhbZh8X44y06A==",
- "cpu": [
- "x64"
- ],
- "optional": true,
- "os": [
- "netbsd"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/vite/node_modules/@esbuild/openbsd-x64": {
- "version": "0.18.20",
- "resolved": "https://registry.npmjs.org/@esbuild/openbsd-x64/-/openbsd-x64-0.18.20.tgz",
- "integrity": "sha512-e5e4YSsuQfX4cxcygw/UCPIEP6wbIL+se3sxPdCiMbFLBWu0eiZOJ7WoD+ptCLrmjZBK1Wk7I6D/I3NglUGOxg==",
- "cpu": [
- "x64"
- ],
- "optional": true,
- "os": [
- "openbsd"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/vite/node_modules/@esbuild/sunos-x64": {
- "version": "0.18.20",
- "resolved": "https://registry.npmjs.org/@esbuild/sunos-x64/-/sunos-x64-0.18.20.tgz",
- "integrity": "sha512-kDbFRFp0YpTQVVrqUd5FTYmWo45zGaXe0X8E1G/LKFC0v8x0vWrhOWSLITcCn63lmZIxfOMXtCfti/RxN/0wnQ==",
- "cpu": [
- "x64"
- ],
- "optional": true,
- "os": [
- "sunos"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/vite/node_modules/@esbuild/win32-arm64": {
- "version": "0.18.20",
- "resolved": "https://registry.npmjs.org/@esbuild/win32-arm64/-/win32-arm64-0.18.20.tgz",
- "integrity": "sha512-ddYFR6ItYgoaq4v4JmQQaAI5s7npztfV4Ag6NrhiaW0RrnOXqBkgwZLofVTlq1daVTQNhtI5oieTvkRPfZrePg==",
- "cpu": [
- "arm64"
- ],
- "optional": true,
- "os": [
- "win32"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/vite/node_modules/@esbuild/win32-ia32": {
- "version": "0.18.20",
- "resolved": "https://registry.npmjs.org/@esbuild/win32-ia32/-/win32-ia32-0.18.20.tgz",
- "integrity": "sha512-Wv7QBi3ID/rROT08SABTS7eV4hX26sVduqDOTe1MvGMjNd3EjOz4b7zeexIR62GTIEKrfJXKL9LFxTYgkyeu7g==",
- "cpu": [
- "ia32"
- ],
- "optional": true,
- "os": [
- "win32"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/vite/node_modules/@esbuild/win32-x64": {
- "version": "0.18.20",
- "resolved": "https://registry.npmjs.org/@esbuild/win32-x64/-/win32-x64-0.18.20.tgz",
- "integrity": "sha512-kTdfRcSiDfQca/y9QIkng02avJ+NCaQvrMejlsB3RRv5sE9rRoeBPISaZpKxHELzRxZyLvNts1P27W3wV+8geQ==",
- "cpu": [
- "x64"
- ],
- "optional": true,
- "os": [
- "win32"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/vite/node_modules/esbuild": {
- "version": "0.18.20",
- "resolved": "https://registry.npmjs.org/esbuild/-/esbuild-0.18.20.tgz",
- "integrity": "sha512-ceqxoedUrcayh7Y7ZX6NdbbDzGROiyVBgC4PriJThBKSVPWnnFHZAkfI1lJT8QFkOwH4qOS2SJkS4wvpGl8BpA==",
- "hasInstallScript": true,
- "bin": {
- "esbuild": "bin/esbuild"
- },
- "engines": {
- "node": ">=12"
- },
- "optionalDependencies": {
- "@esbuild/android-arm": "0.18.20",
- "@esbuild/android-arm64": "0.18.20",
- "@esbuild/android-x64": "0.18.20",
- "@esbuild/darwin-arm64": "0.18.20",
- "@esbuild/darwin-x64": "0.18.20",
- "@esbuild/freebsd-arm64": "0.18.20",
- "@esbuild/freebsd-x64": "0.18.20",
- "@esbuild/linux-arm": "0.18.20",
- "@esbuild/linux-arm64": "0.18.20",
- "@esbuild/linux-ia32": "0.18.20",
- "@esbuild/linux-loong64": "0.18.20",
- "@esbuild/linux-mips64el": "0.18.20",
- "@esbuild/linux-ppc64": "0.18.20",
- "@esbuild/linux-riscv64": "0.18.20",
- "@esbuild/linux-s390x": "0.18.20",
- "@esbuild/linux-x64": "0.18.20",
- "@esbuild/netbsd-x64": "0.18.20",
- "@esbuild/openbsd-x64": "0.18.20",
- "@esbuild/sunos-x64": "0.18.20",
- "@esbuild/win32-arm64": "0.18.20",
- "@esbuild/win32-ia32": "0.18.20",
- "@esbuild/win32-x64": "0.18.20"
- }
- },
- "node_modules/w3c-xmlserializer": {
- "version": "4.0.0",
- "resolved": "https://registry.npmjs.org/w3c-xmlserializer/-/w3c-xmlserializer-4.0.0.tgz",
- "integrity": "sha512-d+BFHzbiCx6zGfz0HyQ6Rg69w9k19nviJspaj4yNscGjrHu94sVP+aRm75yEbCh+r2/yR+7q6hux9LVtbuTGBw==",
- "dependencies": {
- "xml-name-validator": "^4.0.0"
- },
- "engines": {
- "node": ">=14"
- }
- },
- "node_modules/warning": {
- "version": "4.0.3",
- "resolved": "https://registry.npmjs.org/warning/-/warning-4.0.3.tgz",
- "integrity": "sha512-rpJyN222KWIvHJ/F53XSZv0Zl/accqHR8et1kpaMTD/fLCRxtV8iX8czMzY7sVZupTI3zcUTg8eycS2kNF9l6w==",
- "dependencies": {
- "loose-envify": "^1.0.0"
- }
- },
- "node_modules/wcwidth": {
- "version": "1.0.1",
- "resolved": "https://registry.npmjs.org/wcwidth/-/wcwidth-1.0.1.tgz",
- "integrity": "sha512-XHPEwS0q6TaxcvG85+8EYkbiCux2XtWG2mkc47Ng2A77BQu9+DqIOJldST4HgPkuea7dvKSj5VgX3P1d4rW8Tg==",
- "dependencies": {
- "defaults": "^1.0.3"
- }
- },
- "node_modules/web-namespaces": {
- "version": "2.0.1",
- "resolved": "https://registry.npmjs.org/web-namespaces/-/web-namespaces-2.0.1.tgz",
- "integrity": "sha512-bKr1DkiNa2krS7qxNtdrtHAmzuYGFQLiQ13TsorsdT6ULTkPLKuu5+GsFpDlg6JFjUTwX2DyhMPG2be8uPrqsQ==",
- "funding": {
- "type": "github",
- "url": "https://github.com/sponsors/wooorm"
- }
- },
- "node_modules/web-streams-polyfill": {
- "version": "3.3.3",
- "resolved": "https://registry.npmjs.org/web-streams-polyfill/-/web-streams-polyfill-3.3.3.tgz",
- "integrity": "sha512-d2JWLCivmZYTSIoge9MsgFCZrt571BikcWGYkjC1khllbTeDlGqZ2D8vD8E/lJa8WGWbb7Plm8/XJYV7IJHZZw==",
- "engines": {
- "node": ">= 8"
- }
- },
- "node_modules/web-vitals": {
- "version": "2.1.4",
- "resolved": "https://registry.npmjs.org/web-vitals/-/web-vitals-2.1.4.tgz",
- "integrity": "sha512-sVWcwhU5mX6crfI5Vd2dC4qchyTqxV8URinzt25XqVh+bHEPGH4C3NPrNionCP7Obx59wrYEbNlw4Z8sjALzZg=="
- },
- "node_modules/webidl-conversions": {
- "version": "7.0.0",
- "resolved": "https://registry.npmjs.org/webidl-conversions/-/webidl-conversions-7.0.0.tgz",
- "integrity": "sha512-VwddBukDzu71offAQR975unBIGqfKZpM+8ZX6ySk8nYhVoo5CYaZyzt3YBvYtRtO+aoGlqxPg/B87NGVZ/fu6g==",
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/webpack-sources": {
- "version": "3.2.3",
- "resolved": "https://registry.npmjs.org/webpack-sources/-/webpack-sources-3.2.3.tgz",
- "integrity": "sha512-/DyMEOrDgLKKIG0fmvtz+4dUX/3Ghozwgm6iPp8KRhvn+eQf9+Q7GWxVNMk3+uCPWfdXYC4ExGBckIXdFEfH1w==",
- "engines": {
- "node": ">=10.13.0"
- }
- },
- "node_modules/webpack-virtual-modules": {
- "version": "0.6.1",
- "resolved": "https://registry.npmjs.org/webpack-virtual-modules/-/webpack-virtual-modules-0.6.1.tgz",
- "integrity": "sha512-poXpCylU7ExuvZK8z+On3kX+S8o/2dQ/SVYueKA0D4WEMXROXgY8Ez50/bQEUmvoSMMrWcrJqCHuhAbsiwg7Dg=="
- },
- "node_modules/whatwg-encoding": {
- "version": "2.0.0",
- "resolved": "https://registry.npmjs.org/whatwg-encoding/-/whatwg-encoding-2.0.0.tgz",
- "integrity": "sha512-p41ogyeMUrw3jWclHWTQg1k05DSVXPLcVxRTYsXUk+ZooOCZLcoYgPZ/HL/D/N+uQPOtcp1me1WhBEaX02mhWg==",
- "dependencies": {
- "iconv-lite": "0.6.3"
- },
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/whatwg-fetch": {
- "version": "3.6.20",
- "resolved": "https://registry.npmjs.org/whatwg-fetch/-/whatwg-fetch-3.6.20.tgz",
- "integrity": "sha512-EqhiFU6daOA8kpjOWTL0olhVOF3i7OrFzSYiGsEMB8GcXS+RrzauAERX65xMeNWVqxA6HXH2m69Z9LaKKdisfg=="
- },
- "node_modules/whatwg-mimetype": {
- "version": "3.0.0",
- "resolved": "https://registry.npmjs.org/whatwg-mimetype/-/whatwg-mimetype-3.0.0.tgz",
- "integrity": "sha512-nt+N2dzIutVRxARx1nghPKGv1xHikU7HKdfafKkLNLindmPU/ch3U31NOCGGA/dmPcmb1VlofO0vnKAcsm0o/Q==",
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/whatwg-url": {
- "version": "5.0.0",
- "resolved": "https://registry.npmjs.org/whatwg-url/-/whatwg-url-5.0.0.tgz",
- "integrity": "sha512-saE57nupxk6v3HY35+jzBwYa0rKSy0XR8JSxZPwgLr7ys0IBzhGviA1/TUGJLmSVqs8pb9AnvICXEuOHLprYTw==",
- "dependencies": {
- "tr46": "~0.0.3",
- "webidl-conversions": "^3.0.0"
- }
- },
- "node_modules/whatwg-url/node_modules/webidl-conversions": {
- "version": "3.0.1",
- "resolved": "https://registry.npmjs.org/webidl-conversions/-/webidl-conversions-3.0.1.tgz",
- "integrity": "sha512-2JAn3z8AR6rjK8Sm8orRC0h/bcl/DqL7tRPdGZ4I1CjdF+EaMLmYxBHyXuKL849eucPFhvBoxMsflfOb8kxaeQ=="
- },
- "node_modules/which": {
- "version": "2.0.2",
- "resolved": "https://registry.npmjs.org/which/-/which-2.0.2.tgz",
- "integrity": "sha512-BLI3Tl1TW3Pvl70l3yq3Y64i+awpwXqsGBYWkkqMtnbXgrMD+yj7rhW0kuEDxzJaYXGjEW5ogapKNMEKNMjibA==",
- "dependencies": {
- "isexe": "^2.0.0"
- },
- "bin": {
- "node-which": "bin/node-which"
- },
- "engines": {
- "node": ">= 8"
- }
- },
- "node_modules/which-boxed-primitive": {
- "version": "1.0.2",
- "resolved": "https://registry.npmjs.org/which-boxed-primitive/-/which-boxed-primitive-1.0.2.tgz",
- "integrity": "sha512-bwZdv0AKLpplFY2KZRX6TvyuN7ojjr7lwkg6ml0roIy9YeuSr7JS372qlNW18UQYzgYK9ziGcerWqZOmEn9VNg==",
- "dev": true,
- "dependencies": {
- "is-bigint": "^1.0.1",
- "is-boolean-object": "^1.1.0",
- "is-number-object": "^1.0.4",
- "is-string": "^1.0.5",
- "is-symbol": "^1.0.3"
- },
- "funding": {
- "url": "https://github.com/sponsors/ljharb"
- }
- },
- "node_modules/which-collection": {
- "version": "1.0.2",
- "resolved": "https://registry.npmjs.org/which-collection/-/which-collection-1.0.2.tgz",
- "integrity": "sha512-K4jVyjnBdgvc86Y6BkaLZEN933SwYOuBFkdmBu9ZfkcAbdVbpITnDmjvZ/aQjRXQrv5EPkTnD1s39GiiqbngCw==",
- "dev": true,
- "dependencies": {
- "is-map": "^2.0.3",
- "is-set": "^2.0.3",
- "is-weakmap": "^2.0.2",
- "is-weakset": "^2.0.3"
- },
- "engines": {
- "node": ">= 0.4"
- },
- "funding": {
- "url": "https://github.com/sponsors/ljharb"
- }
- },
- "node_modules/which-typed-array": {
- "version": "1.1.15",
- "resolved": "https://registry.npmjs.org/which-typed-array/-/which-typed-array-1.1.15.tgz",
- "integrity": "sha512-oV0jmFtUky6CXfkqehVvBP/LSWJ2sy4vWMioiENyJLePrBO/yKyV9OyJySfAKosh+RYkIl5zJCNZ8/4JncrpdA==",
- "dev": true,
- "dependencies": {
- "available-typed-arrays": "^1.0.7",
- "call-bind": "^1.0.7",
- "for-each": "^0.3.3",
- "gopd": "^1.0.1",
- "has-tostringtag": "^1.0.2"
- },
- "engines": {
- "node": ">= 0.4"
- },
- "funding": {
- "url": "https://github.com/sponsors/ljharb"
- }
- },
- "node_modules/wicked-good-xpath": {
- "version": "1.3.0",
- "resolved": "https://registry.npmjs.org/wicked-good-xpath/-/wicked-good-xpath-1.3.0.tgz",
- "integrity": "sha512-Gd9+TUn5nXdwj/hFsPVx5cuHHiF5Bwuc30jZ4+ronF1qHK5O7HD0sgmXWSEgwKquT3ClLoKPVbO6qGwVwLzvAw=="
- },
- "node_modules/wide-align": {
- "version": "1.1.5",
- "resolved": "https://registry.npmjs.org/wide-align/-/wide-align-1.1.5.tgz",
- "integrity": "sha512-eDMORYaPNZ4sQIuuYPDHdQvf4gyCF9rEEV/yPxGfwPkRodwEgiMUUXTx/dex+Me0wxx53S+NgUHaP7y3MGlDmg==",
- "optional": true,
- "dependencies": {
- "string-width": "^1.0.2 || 2 || 3 || 4"
- }
- },
- "node_modules/word-wrap": {
- "version": "1.2.5",
- "resolved": "https://registry.npmjs.org/word-wrap/-/word-wrap-1.2.5.tgz",
- "integrity": "sha512-BN22B5eaMMI9UMtjrGd5g5eCYPpCPDUy0FJXbYsaT5zYxjFOckS53SQDE3pWkVoWpHXVb3BrYcEN4Twa55B5cA==",
- "dev": true,
- "engines": {
- "node": ">=0.10.0"
- }
- },
- "node_modules/wrap-ansi": {
- "version": "7.0.0",
- "resolved": "https://registry.npmjs.org/wrap-ansi/-/wrap-ansi-7.0.0.tgz",
- "integrity": "sha512-YVGIj2kamLSTxw6NsZjoBxfSwsn0ycdesmc4p+Q21c5zPuZ1pl+NfxVdxPtdHvmNVOQ6XSYG4AUtyt/Fi7D16Q==",
- "dependencies": {
- "ansi-styles": "^4.0.0",
- "string-width": "^4.1.0",
- "strip-ansi": "^6.0.0"
- },
- "engines": {
- "node": ">=10"
- },
- "funding": {
- "url": "https://github.com/chalk/wrap-ansi?sponsor=1"
- }
- },
- "node_modules/wrap-ansi-cjs": {
- "name": "wrap-ansi",
- "version": "7.0.0",
- "resolved": "https://registry.npmjs.org/wrap-ansi/-/wrap-ansi-7.0.0.tgz",
- "integrity": "sha512-YVGIj2kamLSTxw6NsZjoBxfSwsn0ycdesmc4p+Q21c5zPuZ1pl+NfxVdxPtdHvmNVOQ6XSYG4AUtyt/Fi7D16Q==",
- "dependencies": {
- "ansi-styles": "^4.0.0",
- "string-width": "^4.1.0",
- "strip-ansi": "^6.0.0"
- },
- "engines": {
- "node": ">=10"
- },
- "funding": {
- "url": "https://github.com/chalk/wrap-ansi?sponsor=1"
- }
- },
- "node_modules/wrap-ansi-cjs/node_modules/ansi-styles": {
- "version": "4.3.0",
- "resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-4.3.0.tgz",
- "integrity": "sha512-zbB9rCJAT1rbjiVDb2hqKFHNYLxgtk8NURxZ3IZwD3F6NtxbXZQCnnSi1Lkx+IDohdPlFp222wVALIheZJQSEg==",
- "dependencies": {
- "color-convert": "^2.0.1"
- },
- "engines": {
- "node": ">=8"
- },
- "funding": {
- "url": "https://github.com/chalk/ansi-styles?sponsor=1"
- }
- },
- "node_modules/wrap-ansi-cjs/node_modules/color-convert": {
- "version": "2.0.1",
- "resolved": "https://registry.npmjs.org/color-convert/-/color-convert-2.0.1.tgz",
- "integrity": "sha512-RRECPsj7iu/xb5oKYcsFHSppFNnsj/52OVTRKb4zP5onXwVF3zVmmToNcOfGC+CRDpfK/U584fMg38ZHCaElKQ==",
- "dependencies": {
- "color-name": "~1.1.4"
- },
- "engines": {
- "node": ">=7.0.0"
- }
- },
- "node_modules/wrap-ansi-cjs/node_modules/color-name": {
- "version": "1.1.4",
- "resolved": "https://registry.npmjs.org/color-name/-/color-name-1.1.4.tgz",
- "integrity": "sha512-dOy+3AuW3a2wNbZHIuMZpTcgjGuLU/uBL/ubcZF9OXbDo8ff4O8yVp5Bf0efS8uEoYo5q4Fx7dY9OgQGXgAsQA=="
- },
- "node_modules/wrap-ansi/node_modules/ansi-styles": {
- "version": "4.3.0",
- "resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-4.3.0.tgz",
- "integrity": "sha512-zbB9rCJAT1rbjiVDb2hqKFHNYLxgtk8NURxZ3IZwD3F6NtxbXZQCnnSi1Lkx+IDohdPlFp222wVALIheZJQSEg==",
- "dependencies": {
- "color-convert": "^2.0.1"
- },
- "engines": {
- "node": ">=8"
- },
- "funding": {
- "url": "https://github.com/chalk/ansi-styles?sponsor=1"
- }
- },
- "node_modules/wrap-ansi/node_modules/color-convert": {
- "version": "2.0.1",
- "resolved": "https://registry.npmjs.org/color-convert/-/color-convert-2.0.1.tgz",
- "integrity": "sha512-RRECPsj7iu/xb5oKYcsFHSppFNnsj/52OVTRKb4zP5onXwVF3zVmmToNcOfGC+CRDpfK/U584fMg38ZHCaElKQ==",
- "dependencies": {
- "color-name": "~1.1.4"
- },
- "engines": {
- "node": ">=7.0.0"
- }
- },
- "node_modules/wrap-ansi/node_modules/color-name": {
- "version": "1.1.4",
- "resolved": "https://registry.npmjs.org/color-name/-/color-name-1.1.4.tgz",
- "integrity": "sha512-dOy+3AuW3a2wNbZHIuMZpTcgjGuLU/uBL/ubcZF9OXbDo8ff4O8yVp5Bf0efS8uEoYo5q4Fx7dY9OgQGXgAsQA=="
- },
- "node_modules/wrappy": {
- "version": "1.0.2",
- "resolved": "https://registry.npmjs.org/wrappy/-/wrappy-1.0.2.tgz",
- "integrity": "sha512-l4Sp/DRseor9wL6EvV2+TuQn63dMkPjZ/sp9XkghTEbV9KlPS1xUsZ3u7/IQO4wxtcFB4bgpQPRcR3QCvezPcQ==",
- "devOptional": true
- },
- "node_modules/ws": {
- "version": "8.17.0",
- "resolved": "https://registry.npmjs.org/ws/-/ws-8.17.0.tgz",
- "integrity": "sha512-uJq6108EgZMAl20KagGkzCKfMEjxmKvZHG7Tlq0Z6nOky7YF7aq4mOx6xK8TJ/i1LeK4Qus7INktacctDgY8Ow==",
- "engines": {
- "node": ">=10.0.0"
- },
- "peerDependencies": {
- "bufferutil": "^4.0.1",
- "utf-8-validate": ">=5.0.2"
- },
- "peerDependenciesMeta": {
- "bufferutil": {
- "optional": true
- },
- "utf-8-validate": {
- "optional": true
- }
- }
- },
- "node_modules/xml-name-validator": {
- "version": "4.0.0",
- "resolved": "https://registry.npmjs.org/xml-name-validator/-/xml-name-validator-4.0.0.tgz",
- "integrity": "sha512-ICP2e+jsHvAj2E2lIHxa5tjXRlKDJo4IdvPvCXbXQGdzSfmSpNVyIKMvoZHjDY9DP0zV17iI85o90vRFXNccRw==",
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/xmlchars": {
- "version": "2.2.0",
- "resolved": "https://registry.npmjs.org/xmlchars/-/xmlchars-2.2.0.tgz",
- "integrity": "sha512-JZnDKK8B0RCDw84FNdDAIpZK+JuJw+s7Lz8nksI7SIuU3UXJJslUthsi+uWBUYOwPFwW7W7PRLRfUKpxjtjFCw=="
- },
- "node_modules/xmldom-sre": {
- "version": "0.1.31",
- "resolved": "https://registry.npmjs.org/xmldom-sre/-/xmldom-sre-0.1.31.tgz",
- "integrity": "sha512-f9s+fUkX04BxQf+7mMWAp5zk61pciie+fFLC9hX9UVvCeJQfNHRHXpeo5MPcR0EUf57PYLdt+ZO4f3Ipk2oZUw==",
- "engines": {
- "node": ">=0.1"
- }
- },
- "node_modules/xtend": {
- "version": "4.0.2",
- "resolved": "https://registry.npmjs.org/xtend/-/xtend-4.0.2.tgz",
- "integrity": "sha512-LKYU1iAXJXUgAXn9URjiu+MWhyUXHsvfp7mcuYm9dSUKK0/CjtrUwFAxD82/mCWbtLsGjFIad0wIsod4zrTAEQ==",
- "engines": {
- "node": ">=0.4"
- }
- },
- "node_modules/xycolors": {
- "version": "0.1.1",
- "resolved": "https://registry.npmjs.org/xycolors/-/xycolors-0.1.1.tgz",
- "integrity": "sha512-BbRKWpz/87nNH4lXp6TbBFUT0QipzmJI7ksQpSpBb3ny8mGJgkiKk36bIr8VqfyTEhasEBsfbp/Cum37fIHnjA==",
- "hasInstallScript": true,
- "funding": {
- "url": "https://github.com/sponsors/xinyao27"
- }
- },
- "node_modules/y18n": {
- "version": "5.0.8",
- "resolved": "https://registry.npmjs.org/y18n/-/y18n-5.0.8.tgz",
- "integrity": "sha512-0pfFzegeDWJHJIAmTLRP2DwHjdF5s7jo9tuztdQxAhINCdvS+3nGINqPd00AphqJR/0LhANUS6/+7SCb98YOfA==",
- "engines": {
- "node": ">=10"
- }
- },
- "node_modules/yallist": {
- "version": "3.1.1",
- "resolved": "https://registry.npmjs.org/yallist/-/yallist-3.1.1.tgz",
- "integrity": "sha512-a4UGQaWPH59mOXUYnAG2ewncQS4i4F43Tv3JoAM+s2VDAmS9NsK8GpDMLrCHPksFT7h3K6TOoUNn2pb7RoXx4g=="
- },
- "node_modules/yaml": {
- "version": "2.4.2",
- "resolved": "https://registry.npmjs.org/yaml/-/yaml-2.4.2.tgz",
- "integrity": "sha512-B3VqDZ+JAg1nZpaEmWtTXUlBneoGx6CPM9b0TENK6aoSu5t73dItudwdgmi6tHlIZZId4dZ9skcAQ2UbcyAeVA==",
- "bin": {
- "yaml": "bin.mjs"
- },
- "engines": {
- "node": ">= 14"
- }
- },
- "node_modules/yargs": {
- "version": "17.7.2",
- "resolved": "https://registry.npmjs.org/yargs/-/yargs-17.7.2.tgz",
- "integrity": "sha512-7dSzzRQ++CKnNI/krKnYRV7JKKPUXMEh61soaHKg9mrWEhzFWhFnxPxGl+69cD1Ou63C13NUPCnmIcrvqCuM6w==",
- "dependencies": {
- "cliui": "^8.0.1",
- "escalade": "^3.1.1",
- "get-caller-file": "^2.0.5",
- "require-directory": "^2.1.1",
- "string-width": "^4.2.3",
- "y18n": "^5.0.5",
- "yargs-parser": "^21.1.1"
- },
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/yargs-parser": {
- "version": "21.1.1",
- "resolved": "https://registry.npmjs.org/yargs-parser/-/yargs-parser-21.1.1.tgz",
- "integrity": "sha512-tVpsJW7DdjecAiFpbIB1e3qxIQsE6NoPc5/eTdrbbIC4h0LVsWhnoa3g+m2HclBIujHzsxZ4VJVA+GUuc2/LBw==",
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/yocto-queue": {
- "version": "0.1.0",
- "resolved": "https://registry.npmjs.org/yocto-queue/-/yocto-queue-0.1.0.tgz",
- "integrity": "sha512-rVksvsnNCdJ/ohGc6xgPwyN8eheCxsiLM8mxuE/t/mOVqJewPuO1miLpTHQiRgTKCLexL4MeAFVagts7HmNZ2Q==",
- "dev": true,
- "engines": {
- "node": ">=10"
- },
- "funding": {
- "url": "https://github.com/sponsors/sindresorhus"
- }
- },
- "node_modules/zod": {
- "version": "3.23.8",
- "resolved": "https://registry.npmjs.org/zod/-/zod-3.23.8.tgz",
- "integrity": "sha512-XBx9AXhXktjUqnepgTiE5flcKIYWi/rme0Eaj+5Y0lftuGBq+jyRu/md4WnuxqgP1ubdpNCsYEYPxrzVHD8d6g==",
- "funding": {
- "url": "https://github.com/sponsors/colinhacks"
- }
- },
- "node_modules/zustand": {
- "version": "4.5.2",
- "resolved": "https://registry.npmjs.org/zustand/-/zustand-4.5.2.tgz",
- "integrity": "sha512-2cN1tPkDVkwCy5ickKrI7vijSjPksFRfqS6237NzT0vqSsztTNnQdHw9mmN7uBdk3gceVXU0a+21jFzFzAc9+g==",
- "dependencies": {
- "use-sync-external-store": "1.2.0"
- },
- "engines": {
- "node": ">=12.7.0"
- },
- "peerDependencies": {
- "@types/react": ">=16.8",
- "immer": ">=9.0.6",
- "react": ">=16.8"
- },
- "peerDependenciesMeta": {
- "@types/react": {
- "optional": true
- },
- "immer": {
- "optional": true
- },
- "react": {
- "optional": true
- }
- }
- },
- "node_modules/zwitch": {
- "version": "2.0.4",
- "resolved": "https://registry.npmjs.org/zwitch/-/zwitch-2.0.4.tgz",
- "integrity": "sha512-bXE4cR/kVZhKZX/RjPEflHaKVhUVl85noU3v6b8apfQEc1x4A+zBxjZ4lN8LqGd6WZ3dl98pY4o717VFmoPp+A==",
- "funding": {
- "type": "github",
- "url": "https://github.com/sponsors/wooorm"
- }
- }
- }
-}
diff --git a/src/frontend/package.json b/src/frontend/package.json
index 94747ae45..d3ed18c9c 100644
--- a/src/frontend/package.json
+++ b/src/frontend/package.json
@@ -1,138 +1,139 @@
{
- "name": "langflow",
- "version": "0.1.2",
- "private": true,
- "dependencies": {
- "@headlessui/react": "^1.7.17",
- "@hookform/resolvers": "^3.3.4",
- "@million/lint": "^0.0.73",
- "react-hotkeys-hook": "^4.5.0",
- "@radix-ui/react-accordion": "^1.1.2",
- "@radix-ui/react-checkbox": "^1.0.4",
- "@radix-ui/react-dialog": "^1.0.4",
- "@radix-ui/react-dropdown-menu": "^2.0.5",
- "@radix-ui/react-form": "^0.0.3",
- "@radix-ui/react-icons": "^1.3.0",
- "@radix-ui/react-label": "^2.0.2",
- "@radix-ui/react-menubar": "^1.0.3",
- "@radix-ui/react-popover": "^1.0.6",
- "@radix-ui/react-progress": "^1.0.3",
- "@radix-ui/react-select": "^2.0.0",
- "@radix-ui/react-separator": "^1.0.3",
- "@radix-ui/react-slot": "^1.0.2",
- "@radix-ui/react-switch": "^1.0.3",
- "@radix-ui/react-tabs": "^1.0.4",
- "@radix-ui/react-tooltip": "^1.0.6",
- "@tabler/icons-react": "^2.32.0",
- "@tailwindcss/forms": "^0.5.6",
- "@tailwindcss/line-clamp": "^0.4.4",
- "@types/axios": "^0.14.0",
- "ace-builds": "^1.24.1",
- "ag-grid-community": "^31.2.1",
- "ag-grid-react": "^31.2.1",
- "ansi-to-html": "^0.7.2",
- "axios": "^1.5.0",
- "base64-js": "^1.5.1",
- "class-variance-authority": "^0.6.1",
- "clsx": "^1.2.1",
- "cmdk": "^1.0.0",
- "dompurify": "^3.0.5",
- "dotenv": "^16.4.5",
- "esbuild": "^0.17.19",
- "file-saver": "^2.0.5",
- "framer-motion": "^11.0.6",
- "lodash": "^4.17.21",
- "lucide-react": "^0.331.0",
- "million": "^3.0.6",
- "moment": "^2.29.4",
- "openseadragon": "^4.1.1",
- "playwright": "^1.42.0",
- "react": "^18.2.21",
- "react-ace": "^10.1.0",
- "react-cookie": "^4.1.1",
- "react-dom": "^18.2.21",
- "react-error-boundary": "^4.0.11",
- "react-hook-form": "^7.51.4",
- "react-icons": "^5.0.1",
- "react-laag": "^2.0.5",
- "react-markdown": "^8.0.7",
- "react-pdf": "^7.7.1",
- "react-router-dom": "^6.15.0",
- "react-syntax-highlighter": "^15.5.0",
- "react18-json-view": "^0.2.3",
- "reactflow": "^11.9.2",
- "rehype-mathjax": "^4.0.3",
- "remark-gfm": "^3.0.1",
- "remark-math": "^5.1.1",
- "shadcn-ui": "^0.2.3",
- "short-unique-id": "^4.4.4",
- "tailwind-merge": "^1.14.0",
- "tailwindcss-animate": "^1.0.7",
- "uuid": "^9.0.0",
- "vite-plugin-svgr": "^3.2.0",
- "web-vitals": "^2.1.4",
- "zod": "^3.23.7",
- "zustand": "^4.4.7"
- },
- "scripts": {
- "dev:docker": "vite --host 0.0.0.0",
- "start": "vite",
- "build": "vite build",
- "serve": "vite preview",
- "format": "npx prettier --write \"{docs,src}/**/*.{js,jsx,ts,tsx,json,md}\" --ignore-path .prettierignore",
- "type-check": "tsc --noEmit --pretty --project tsconfig.json && vite"
- },
- "simple-git-hooks": {
- "pre-commit": "npx pretty-quick --staged"
- },
- "eslintConfig": {
- "extends": [
- "react-app",
- "react-app/jest"
- ]
- },
- "browserslist": {
- "production": [
- ">0.2%",
- "not dead",
- "not op_mini all"
- ],
- "development": [
- "last 1 chrome version",
- "last 1 firefox version",
- "last 1 safari version"
- ]
- },
- "proxy": "http://127.0.0.1:7860",
- "devDependencies": {
- "@playwright/test": "^1.44.0",
- "@swc/cli": "^0.1.62",
- "@swc/core": "^1.3.80",
- "@tailwindcss/typography": "^0.5.9",
- "@testing-library/jest-dom": "^5.17.0",
- "@testing-library/react": "^13.4.0",
- "@testing-library/user-event": "^13.5.0",
- "@types/jest": "^27.5.2",
- "@types/lodash": "^4.14.197",
- "@types/node": "^16.18.46",
- "@types/react": "^18.2.21",
- "@types/react-dom": "^18.2.7",
- "@types/uuid": "^9.0.2",
- "@vitejs/plugin-react-swc": "^3.3.2",
- "autoprefixer": "^10.4.15",
- "daisyui": "^4.0.4",
- "eslint": "^8.57.0",
- "eslint-plugin-node": "^11.1.0",
- "postcss": "^8.4.29",
- "prettier": "^2.8.8",
- "prettier-plugin-organize-imports": "^3.2.3",
- "prettier-plugin-tailwindcss": "^0.3.0",
- "pretty-quick": "^3.1.3",
- "simple-git-hooks": "^2.11.1",
- "tailwindcss": "^3.3.3",
- "tailwindcss-dotted-background": "^1.1.0",
- "typescript": "^5.2.2",
- "ua-parser-js": "^1.0.37",
- "vite": "^4.5.2"
- }
+ "name": "langflow",
+ "version": "0.1.2",
+ "private": true,
+ "dependencies": {
+ "@headlessui/react": "^1.7.17",
+ "@hookform/resolvers": "^3.3.4",
+ "@million/lint": "^0.0.73",
+ "react-hotkeys-hook": "^4.5.0",
+ "@radix-ui/react-accordion": "^1.1.2",
+ "@radix-ui/react-checkbox": "^1.0.4",
+ "@radix-ui/react-dialog": "^1.0.4",
+ "@radix-ui/react-dropdown-menu": "^2.0.5",
+ "@radix-ui/react-form": "^0.0.3",
+ "@radix-ui/react-icons": "^1.3.0",
+ "@radix-ui/react-label": "^2.0.2",
+ "@radix-ui/react-menubar": "^1.0.3",
+ "@radix-ui/react-popover": "^1.0.6",
+ "@radix-ui/react-progress": "^1.0.3",
+ "@radix-ui/react-select": "^2.0.0",
+ "@radix-ui/react-separator": "^1.0.3",
+ "@radix-ui/react-slot": "^1.0.2",
+ "@radix-ui/react-switch": "^1.0.3",
+ "@radix-ui/react-tabs": "^1.0.4",
+ "@radix-ui/react-tooltip": "^1.0.6",
+ "@tabler/icons-react": "^2.32.0",
+ "@tailwindcss/forms": "^0.5.6",
+ "@tailwindcss/line-clamp": "^0.4.4",
+ "@types/axios": "^0.14.0",
+ "ace-builds": "^1.24.1",
+ "ag-grid-community": "^31.2.1",
+ "ag-grid-react": "^31.2.1",
+ "ansi-to-html": "^0.7.2",
+ "axios": "^1.5.0",
+ "base64-js": "^1.5.1",
+ "class-variance-authority": "^0.6.1",
+ "clsx": "^1.2.1",
+ "cmdk": "^1.0.0",
+ "debounce-promise": "^3.1.2",
+ "dompurify": "^3.0.5",
+ "dotenv": "^16.4.5",
+ "esbuild": "^0.17.19",
+ "file-saver": "^2.0.5",
+ "framer-motion": "^11.0.6",
+ "lodash": "^4.17.21",
+ "lucide-react": "^0.331.0",
+ "million": "^3.0.6",
+ "moment": "^2.29.4",
+ "openseadragon": "^4.1.1",
+ "playwright": "^1.42.0",
+ "react": "^18.2.21",
+ "react-ace": "^10.1.0",
+ "react-cookie": "^4.1.1",
+ "react-dom": "^18.2.21",
+ "react-error-boundary": "^4.0.11",
+ "react-hook-form": "^7.51.4",
+ "react-icons": "^5.0.1",
+ "react-laag": "^2.0.5",
+ "react-markdown": "^8.0.7",
+ "react-pdf": "^7.7.1",
+ "react-router-dom": "^6.15.0",
+ "react-syntax-highlighter": "^15.5.0",
+ "react18-json-view": "^0.2.3",
+ "reactflow": "^11.9.2",
+ "rehype-mathjax": "^4.0.3",
+ "remark-gfm": "^3.0.1",
+ "remark-math": "^5.1.1",
+ "shadcn-ui": "^0.2.3",
+ "short-unique-id": "^4.4.4",
+ "tailwind-merge": "^1.14.0",
+ "tailwindcss-animate": "^1.0.7",
+ "uuid": "^9.0.0",
+ "vite-plugin-svgr": "^3.2.0",
+ "web-vitals": "^2.1.4",
+ "zod": "^3.23.7",
+ "zustand": "^4.4.7"
+ },
+ "scripts": {
+ "dev:docker": "vite --host 0.0.0.0",
+ "start": "vite",
+ "build": "vite build",
+ "serve": "vite preview",
+ "format": "npx prettier --write \"{docs,src}/**/*.{js,jsx,ts,tsx,json,md}\" --ignore-path .prettierignore",
+ "type-check": "tsc --noEmit --pretty --project tsconfig.json && vite"
+ },
+ "simple-git-hooks": {
+ "pre-commit": "npx pretty-quick --staged"
+ },
+ "eslintConfig": {
+ "extends": [
+ "react-app",
+ "react-app/jest"
+ ]
+ },
+ "browserslist": {
+ "production": [
+ ">0.2%",
+ "not dead",
+ "not op_mini all"
+ ],
+ "development": [
+ "last 1 chrome version",
+ "last 1 firefox version",
+ "last 1 safari version"
+ ]
+ },
+ "proxy": "http://127.0.0.1:7860",
+ "devDependencies": {
+ "@playwright/test": "^1.44.0",
+ "@swc/cli": "^0.1.62",
+ "@swc/core": "^1.3.80",
+ "@tailwindcss/typography": "^0.5.9",
+ "@testing-library/jest-dom": "^5.17.0",
+ "@testing-library/react": "^13.4.0",
+ "@testing-library/user-event": "^13.5.0",
+ "@types/jest": "^27.5.2",
+ "@types/lodash": "^4.14.197",
+ "@types/node": "^16.18.46",
+ "@types/react": "^18.2.21",
+ "@types/react-dom": "^18.2.7",
+ "@types/uuid": "^9.0.2",
+ "@vitejs/plugin-react-swc": "^3.3.2",
+ "autoprefixer": "^10.4.15",
+ "daisyui": "^4.0.4",
+ "eslint": "^8.57.0",
+ "eslint-plugin-node": "^11.1.0",
+ "postcss": "^8.4.29",
+ "prettier": "^2.8.8",
+ "prettier-plugin-organize-imports": "^3.2.3",
+ "prettier-plugin-tailwindcss": "^0.3.0",
+ "pretty-quick": "^3.1.3",
+ "simple-git-hooks": "^2.11.1",
+ "tailwindcss": "^3.3.3",
+ "tailwindcss-dotted-background": "^1.1.0",
+ "typescript": "^5.2.2",
+ "ua-parser-js": "^1.0.37",
+ "vite": "^4.5.2"
+ }
}
diff --git a/src/frontend/playwright.config.ts b/src/frontend/playwright.config.ts
index 9535e0a15..eeb9497ae 100644
--- a/src/frontend/playwright.config.ts
+++ b/src/frontend/playwright.config.ts
@@ -15,7 +15,7 @@ dotenv.config({ path: path.resolve(__dirname, "../../.env") });
export default defineConfig({
testDir: "./tests",
/* Run tests in files in parallel */
- fullyParallel: true,
+ fullyParallel: false,
/* Fail the build on CI if you accidentally left test.only in the source code. */
forbidOnly: !!process.env.CI,
/* Retry on CI only */
@@ -52,18 +52,18 @@ export default defineConfig({
},
},
- {
- name: "firefox",
- use: {
- ...devices["Desktop Firefox"],
- launchOptions: {
- firefoxUserPrefs: {
- "dom.events.asyncClipboard.readText": true,
- "dom.events.testing.asyncClipboard": true,
- },
- },
- },
- },
+ // {
+ // name: "firefox",
+ // use: {
+ // ...devices["Desktop Firefox"],
+ // launchOptions: {
+ // firefoxUserPrefs: {
+ // "dom.events.asyncClipboard.readText": true,
+ // "dom.events.testing.asyncClipboard": true,
+ // },
+ // },
+ // },
+ // },
],
webServer: [
{
diff --git a/src/frontend/src/App.tsx b/src/frontend/src/App.tsx
index 922ec9994..b9e02a27d 100644
--- a/src/frontend/src/App.tsx
+++ b/src/frontend/src/App.tsx
@@ -1,3 +1,4 @@
+import axios from "axios";
import { useContext, useEffect, useState } from "react";
import { ErrorBoundary } from "react-error-boundary";
import { useNavigate } from "react-router-dom";
@@ -15,6 +16,7 @@ import {
} from "./constants/constants";
import { AuthContext } from "./contexts/authContext";
import { autoLogin, getGlobalVariables, getHealth } from "./controllers/API";
+import { setupAxiosDefaults } from "./controllers/API/utils";
import useTrackLastVisitedPath from "./hooks/use-track-last-visited-path";
import Router from "./routes";
import useAlertStore from "./stores/alertStore";
@@ -114,6 +116,7 @@ export default function App() {
return new Promise(async (resolve, reject) => {
if (isAuthenticated) {
try {
+ await setupAxiosDefaults();
await getFoldersApi();
await getTypes();
await refreshFlows();
@@ -219,12 +222,19 @@ export default function App() {
id={alert.id}
removeAlert={removeAlert}
/>
+ ) : alert.type === "notice" ? (
+
) : (
- alert.type === "notice" && (
-
@@ -233,20 +243,6 @@ export default function App() {
+
+
+ 
+
+
+ 
+
+
+
+
# 🖥️ Command Line Interface (CLI)
Langflow provides a command-line interface (CLI) for easy management and configuration.
@@ -87,33 +155,7 @@ You can configure many of the CLI options using environment variables. These can
A sample `.env` file named `.env.example` is included with the project. Copy this file to a new file named `.env` and replace the example values with your actual settings. If you're setting values in both your OS and the `.env` file, the `.env` settings will take precedence.
-# Deployment
-
-## Deploy Langflow on Google Cloud Platform
-
-Follow our step-by-step guide to deploy Langflow on Google Cloud Platform (GCP) using Google Cloud Shell. The guide is available in the [**Langflow in Google Cloud Platform**](GCP_DEPLOYMENT.md) document.
-
-Alternatively, click the **"Open in Cloud Shell"** button below to launch Google Cloud Shell, clone the Langflow repository, and start an **interactive tutorial** that will guide you through the process of setting up the necessary resources and deploying Langflow on your GCP project.
-
-[](https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/langflow-ai/langflow&working_dir=scripts/gcp&shellonly=true&tutorial=walkthroughtutorial_spot.md)
-
-## Deploy on Railway
-
-Use this template to deploy Langflow 1.0 Preview on Railway:
-
-[](https://railway.app/template/UsJ1uB?referralCode=MnPSdg)
-
-Or this one to deploy Langflow 0.6.x:
-
-[](https://railway.app/template/JMXEWp?referralCode=MnPSdg)
-
-## Deploy on Render
-
-
-
+