Merge zustand/io/migration

2024-02-29 23:58:40 -03:00 · 2024-02-29 23:58:40 -03:00 · 69c4575f90
commit 69c4575f90
parent fff3995c11 07aa83e4e5
95 changed files with 1370 additions and 870 deletions
--- a/docs/docs/components/embeddings.mdx
+++ b/docs/docs/components/embeddings.mdx
@ -98,9 +98,9 @@ Used to load [OpenAI’s](https://openai.com/) embedding models.

 Wrapper around [Google Vertex AI](https://cloud.google.com/vertex-ai) [Embeddings API](https://cloud.google.com/vertex-ai/docs/generative-ai/embeddings/get-text-embeddings).

-:::info
+<Admonition type="info">
 Vertex AI is a cloud computing platform offered by Google Cloud Platform (GCP). It provides access, management, and development of applications and services through global data centers. To use Vertex AI PaLM, you need to have the [google-cloud-aiplatform](https://pypi.org/project/google-cloud-aiplatform/) Python package installed and credentials configured for your environment.
-:::
+</Admonition>

 - **credentials:** The default custom credentials (google.auth.credentials.Credentials) to use.
 - **location:** The default location to use when making API calls – defaults to `us-central1`.
--- a/docs/docs/components/io.mdx
+++ b/docs/docs/components/io.mdx
@ -1,9 +1,8 @@
-
-import Admonition from '@theme/Admonition';
+import Admonition from "@theme/Admonition";

 # I/O

-## ChatInput
+### ChatInput

 This component is designed to get user input from the chat.

@ -15,9 +14,7 @@ This component is designed to get user input from the chat.

 - **Message:** specifies the message text. It is a multiline text input.

- **Session ID:** specifies the session ID of the chat history.
-
- **As Record:** if true, the message will be returned as a _`Record`_. Defaults to _`false`_.
+- **Session ID:** specifies the session ID of the chat history. If provided, the message will be saved in the Message History.

 <Admonition type="note" title="Note">
    <p>
@ -25,7 +22,7 @@ This component is designed to get user input from the chat.
    </p>
 </Admonition>

-## ChatOutput
+### ChatOutput

 This component is designed to send a message to the chat.

@ -35,65 +32,21 @@ This component is designed to send a message to the chat.

 - **Sender Name:** specifies the name of the sender. Defaults to _`"AI"`_.

- **Session ID:** specifies the session ID of the chat history.
+- **Session ID:** specifies the session ID of the chat history. If provided, the message will be saved in the Message History.

 - **Message:** specifies the message text.

- **As Record:** if true, the message will be returned as a _`Record`_. Defaults to _`false`_.
-
 <Admonition type="note" title="Note">
    <p>
        If _`As Record`_ is _`true`_ and the _`Message`_ is a _`Record`_, the data of the _`Record`_ will be updated with the _`Sender`_, _`Sender Name`_, and _`Session ID`_.
    </p>
 </Admonition>

-## StoreMessages

-This component is designed to store messages in a structured format. It can store messages provided directly as records or construct records from provided texts and metadata.
+### TextInput

-**Params**
+This component is designed for simple text input, allowing users to pass textual data to subsequent components in the workflow. It's particularly useful for scenarios where a brief user input is required to initiate or influence the flow.

- **Records:** (Optional) Specifies the list of records to store. Each `Record` should contain the keys `'sender'`, `'sender_name'`, and `'session_id'`. If not provided, `texts` must be used along with `session_id`, `sender`, and `sender_name` to construct the records.
-
- **Texts:** (Optional) Specifies the list of text messages to store. If `records` is not provided, `texts` must be provided along with `session_id`, `sender`, and `sender_name`.
-
- **Session ID:** (Optional) Specifies the session ID associated with the messages. Required if `records` is not provided and `texts` are used.
-
- **Sender:** (Optional) Specifies the identifier of the sender. Required if `records` is not provided and `texts` are used.
-
- **Sender Name:** (Optional) Specifies the name of the sender. Required if `records` is not provided and `texts` are used.
-
-<Admonition type="note" title="Note">
-    <p>
-        The component prioritizes the use of `Records` for storing messages. If `Records` are not provided, it requires `Texts`, `Session ID`, `Sender`, and `Sender Name` to construct and store records. Ensure that either `Records` or the combination of `Texts`, `Session ID`, `Sender`, and `Sender Name` is provided.
-    </p>
-</Admonition>
-
-## MessageHistory
-
-This component is designed to retrieve stored messages based on various filters such as sender type, sender name, and session ID. It allows for a flexible retrieval of chat history, providing insights into past interactions.
-
-**Params**
-
- **Sender Type:** (Optional) Specifies the type of the sender. Options are _`"Machine"`_ or _`"User"`_. Filters the messages by the type of sender.
-
- **Sender Name:** (Optional) Specifies the name of the sender. Filters the messages by the name of the sender.
-
- **Session ID:** (Optional) Specifies the session ID of the chat history. Filters the messages belonging to a specific session.
-
- **Number of Messages:** Specifies the number of messages to retrieve. Defaults to _`5`_. Determines how many recent messages from the chat history to fetch.
-
-<Admonition type="note" title="Note">
-    <p>
-        The component retrieves messages based on the provided criteria. If no specific criteria are provided, it will return the most recent messages up to the specified limit. This component can be used to review past interactions and analyze the flow of conversations.
-
-
- </p>
-</Admonition>
-
-## TextInput
-
-This component is designed for simple text input, allowing users to pass textual data to subsequent components in the workflow. It's particularly useful for scenarios where a brief user input is required to initiate or influence the process flow.

 **Params**

@ -101,6 +54,20 @@ This component is designed for simple text input, allowing users to pass textual

 <Admonition type="note" title="Note">
    <p>
-        The `TextInput` component serves as a straightforward means for capturing user input. It ensures that textual data can be seamlessly integrated into the Langflow's component-based processing pipeline, fostering interactivity within automated workflows.
+        The `TextInput` component serves as a straightforward means for setting Text input values in the chat window. It ensures that textual data can be seamlessly passed to subsequent components in the flow.
    </p>
 </Admonition>
+
+### TextOutput
+
+This component is designed to display text data to the user. It's particularly useful for scenarios where you don't want to send the text data to the chat, but still want to display it.
+
+**Params**
+
+- **Value:** Specifies the text data to be displayed. This is where the text data to be displayed is provided. If no value is provided, it defaults to an empty string.
+
+<Admonition type="note" title="Note">
+    <p>
+        The `TextOutput` component serves as a straightforward means for displaying text data. It ensures that textual data can be seamlessly observed in the chat window throughout your flow.
+    </p>
+</Admonition>
--- a/docs/docs/components/llms.mdx
+++ b/docs/docs/components/llms.mdx
@ -40,9 +40,10 @@ Wrapper around Anthropic's large language model used for chat-based interactions

 The `CTransformers` component provides access to the Transformer models implemented in C/C++ using the [GGML](https://github.com/ggerganov/ggml) library.

-:::info
+<Admonition type="info">
+
 Make sure to have the `ctransformers` python package installed. Learn more about installation, supported models, and usage [here](https://github.com/marella/ctransformers).
-:::
+</Admonition>

 **config:** Configuration for the Transformer models. Check out [config](https://github.com/marella/ctransformers#config). Defaults to:

@ -115,9 +116,9 @@ Wrapper around [Cohere's](https://cohere.com) large language models.

 Wrapper around [HuggingFace](https://www.huggingface.co/models) models.

-:::info
+<Admonition type="info">
 The HuggingFace Hub is an online platform that hosts over 120k models, 20k datasets, and 50k demo apps, all of which are open-source and publicly available. Discover more at [HuggingFace](http://www.huggingface.co).
-:::
+</Admonition>

 - **huggingfacehub_api_token:** Token needed to authenticate the API.
 - **model_kwargs:** Keyword arguments to pass to the model.
@ -130,9 +131,9 @@ The HuggingFace Hub is an online platform that hosts over 120k models, 20k datas

 The `LlamaCpp` component provides access to the `llama.cpp` models.

-:::info
+<Admonition type="info">
 Make sure to have the `llama.cpp` python package installed. Learn more about installation, supported models, and usage [here](https://github.com/ggerganov/llama.cpp).
-:::
+</Admonition>

 - **echo:** Whether to echo the prompt – defaults to `False`.
 - **f16_kv:** Use half-precision for key/value cache – defaults to `True`.
@ -181,9 +182,9 @@ Wrapper around [OpenAI's](https://openai.com) large language models.

 Wrapper around [Google Vertex AI](https://cloud.google.com/vertex-ai) large language models.

-:::info
+<Admonition type="info">
 Vertex AI is a cloud computing platform offered by Google Cloud Platform (GCP). It provides access, management, and development of applications and services through global data centers. To use Vertex AI PaLM, you need to have the [google-cloud-aiplatform](https://pypi.org/project/google-cloud-aiplatform/) Python package installed and credentials configured for your environment.
-:::
+</Admonition>

 - **credentials:** The default custom credentials (google.auth.credentials.Credentials) to use.
 - **location:** The default location to use when making API calls – defaults to `us-central1`.
@ -203,9 +204,9 @@ Vertex AI is a cloud computing platform offered by Google Cloud Platform (GCP).

 Wrapper around [Google Vertex AI](https://cloud.google.com/vertex-ai) large language models.

-:::info
+<Admonition type="info">
 Vertex AI is a cloud computing platform offered by Google Cloud Platform (GCP). It provides access, management, and development of applications and services through global data centers. To use Vertex AI PaLM, you need to have the [google-cloud-aiplatform](https://pypi.org/project/google-cloud-aiplatform/) Python package installed and credentials configured for your environment.
-:::
+</Admonition>

 - **credentials:** The default custom credentials (google.auth.credentials.Credentials) to use.
 - **location:** The default location to use when making API calls – defaults to `us-central1`.
--- a/docs/docs/components/memories.mdx
+++ b/docs/docs/components/memories.mdx
@ -12,6 +12,26 @@ Memory is a concept in chat-based applications that allows the system to remembe

 ---

+### MessageHistory
+
+This component is designed to retrieve stored messages based on various filters such as sender type, sender name, session ID, and a specific file path where messages are stored. It allows for a flexible retrieval of chat history, providing insights into past interactions.
+
+**Params**
+
+- **Sender Type:** (Optional) Specifies the type of the sender. Options are _`"Machine"`_, _`"User"`_, or _`"Machine and User"`_. Filters the messages by the type of the sender.
+
+- **Sender Name:** (Optional) Specifies the name of the sender. Filters the messages by the name of the sender.
+
+- **Session ID:** (Optional) Specifies the session ID of the chat history. Filters the messages belonging to a specific session.
+
+- **Number of Messages:** Specifies the number of messages to retrieve. Defaults to _`5`_. Determines how many recent messages from the chat history to fetch.
+
+<Admonition type="note" title="Note">
+    <p>
+        The component retrieves messages based on the provided criteria, including the specific file path for stored messages. If no specific criteria are provided, it will return the most recent messages up to the specified limit. This component can be used to review past interactions and analyze the flow of conversations.
+    </p>
+</Admonition>
+
 ### ConversationBufferMemory

 The `ConversationBufferMemory` component is a type of memory system that plainly stores the last few inputs and outputs of a conversation.
@ -27,7 +47,7 @@ The `ConversationBufferMemory` component is a type of memory system that plainly

 ### ConversationBufferWindowMemory

-`ConversationBufferWindowMemory` is a variation of the `ConversationBufferMemory` that maintains a list of the recent interactions in a conversation. It only keeps the last K interactions in memory, which can be useful for maintaining a sliding window of the most recent interactions without letting the buffer get too large. 
+`ConversationBufferWindowMemory` is a variation of the `ConversationBufferMemory` that maintains a list of the recent interactions in a conversation. It only keeps the last K interactions in memory, which can be useful for maintaining a sliding window of the most recent interactions without letting the buffer get too large.

 **Params**

@ -72,7 +92,7 @@ The `ConversationEntityMemory` component incorporates intricate memory structure

 ### ConversationSummaryMemory

-The `ConversationSummaryMemory` is a memory component that creates a summary of the conversation over time. It condenses information from the conversation and stores the current summary in memory. It is particularly useful for longer conversations where keeping the entire message history in the prompt would take up too many tokens. 
+The `ConversationSummaryMemory` is a memory component that creates a summary of the conversation over time. It condenses information from the conversation and stores the current summary in memory. It is particularly useful for longer conversations where keeping the entire message history in the prompt would take up too many tokens.

 **Params**

--- a/docs/docs/components/tools.mdx
+++ b/docs/docs/components/tools.mdx
@ -9,6 +9,21 @@ import Admonition from '@theme/Admonition';
 </Admonition>


+### SearchApi
+
+Real-time search engine results API. Returns structured JSON data that includes answer box, knowledge graph, organic results, and more.
+
+**Parameters**
+
+- **Api Key:** A unique identifier for the SearchApi, necessary for authenticating requests to real-time search engines. This key can be retrieved from the [SearchApi dashboard](https://www.searchapi.io/).
+- **Engine:** Specifies the search engine. For instance: google, google_scholar, bing, youtube, and youtube_transcripts. A full list of supported engines is available in the [documentation](https://www.searchapi.io/docs/google).
+- **Parameters:** Allows the selection of any parameters recognized by SearchApi, with some being required and others optional. 
+
+**Output**
+
+- **Document:** The JSON response from the request as a Document.
+
+
 ### BingSearchRun

 Bing Search is a web search engine owned and operated by Microsoft. It provides search results for various types of content, including web pages, images, videos, and news articles. It uses a combination of algorithms and human editors to deliver search results to users.
@ -60,4 +75,4 @@ Tool for getting metadata about a SQL database. The input to this tool is a comm

 **Params**

- **Db:** SQLDatabase to query.
+- **Db:** SQLDatabase to query.
--- a/docs/docs/deployment/gcp-deployment.md
+++ b/docs/docs/deployment/gcp-deployment.md
@ -4,9 +4,8 @@

 This guide will help you set up a Langflow development VM in a Google Cloud Platform project using Google Cloud Shell.

-:::note
-When Cloud Shell opens, be sure to select **Trust repo**. Some `gcloud` commands might not run in an ephemeral Cloud Shell environment.
-:::
+> Note: When Cloud Shell opens, be sure to select **Trust repo**. Some `gcloud` commands might not run in an ephemeral Cloud Shell environment.
+


 ## Standard VM 
--- a/docs/docs/examples/buffer-memory.mdx
+++ b/docs/docs/examples/buffer-memory.mdx
@ -14,6 +14,7 @@ import ZoomableImage from "/src/theme/ZoomableImage.js";
  alt="Docusaurus themed image"
  sources={{
    light: "img/buffer-memory.png",
+    dark: "img/buffer-memory.png",
  }}
 />

--- a/docs/docs/examples/conversation-chain.mdx
+++ b/docs/docs/examples/conversation-chain.mdx
@ -20,6 +20,7 @@ import ZoomableImage from "/src/theme/ZoomableImage.js";
  alt="Docusaurus themed image"
  sources={{
    light: "img/basic-chat.png",
+    dark: "img/basic-chat.png",
  }}
 />

--- a/docs/docs/examples/csv-loader.mdx
+++ b/docs/docs/examples/csv-loader.mdx
@ -32,6 +32,7 @@ import ZoomableImage from "/src/theme/ZoomableImage.js";
  alt="Docusaurus themed image"
  sources={{
    light: "img/csv-loader.png",
+    dark: "img/csv-loader.png",
  }}
 />

@ -39,12 +40,12 @@ import ZoomableImage from "/src/theme/ZoomableImage.js";

 <Admonition type="note" title="LangChain Components 🦜🔗">

- [`CSVLoader`](https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv)
+- [`CSVLoader`](https://python.langchain.com/docs/integrations/document_loaders/csv)
 - [`CharacterTextSplitter`](https://python.langchain.com/docs/modules/data_connection/document_transformers/text_splitters/character_text_splitter)
- [`OpenAIEmbedding`](https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/openai)
- [`Chroma`](https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/chroma)
+- [`OpenAIEmbedding`](https://python.langchain.com/docs/integrations/text_embedding/openai)
+- [`Chroma`](https://python.langchain.com/docs/integrations/vectorstores/chroma)
 - [`VectorStoreInfo`](https://python.langchain.com/docs/modules/data_connection/vectorstores/)
 - [`OpenAI`](https://python.langchain.com/docs/modules/model_io/models/llms/integrations/openai)
- [`VectorStoreAgent`](https://python.langchain.com/docs/modules/agents/toolkits/vectorstore)
+- [`VectorStoreAgent`](https://js.langchain.com/docs/modules/agents/tools/how_to/agents_with_vectorstores)

 </Admonition>
--- a/docs/docs/examples/flow-runner.mdx
+++ b/docs/docs/examples/flow-runner.mdx
@ -14,6 +14,7 @@ The CustomComponent class allows us to create components that interact with Lang
  alt="Document Processor Component"
  sources={{
    light: "img/flow_runner.png",
+    dark: "img/flow_runner.png",
  }}
  style={{
    width: "30%",
@ -339,6 +340,7 @@ Done! This is what our script and custom component looks like:
    alt="Document Processor Code"
    sources={{
        light: "img/flow_runner_code.png",
+        dark: "img/flow_runner_code.png",
    }}
    style={{
        maxWidth: "100%",
@ -353,6 +355,7 @@ Done! This is what our script and custom component looks like:
    alt="Document Processor Component"
    sources={{
        light: "img/flow_runner.png",
+        dark: "img/flow_runner.png",
    }}
    style={{
        width: "40%",
--- a/docs/docs/examples/how-upload-examples.mdx
+++ b/docs/docs/examples/how-upload-examples.mdx
@ -12,6 +12,7 @@ Langflow Examples is a repository on [GitHub](https://github.com/logspace-ai/lan
  alt="Docusaurus themed image"
  sources={{
    light: "img/community-examples.png",
+    dark: "img/community-examples.png",
  }}
  style={{ width: "100%" }}
 />
--- a/docs/docs/examples/midjourney-prompt-chain.mdx
+++ b/docs/docs/examples/midjourney-prompt-chain.mdx
@ -32,6 +32,7 @@ import ZoomableImage from "/src/theme/ZoomableImage.js";
  alt="Docusaurus themed image"
  sources={{
    light: "img/midjourney-prompt-chain.png",
+    dark: "img/midjourney-prompt-chain.png",
  }}
 />

@ -40,6 +41,6 @@ import ZoomableImage from "/src/theme/ZoomableImage.js";
 <Admonition type="note" title="LangChain Components 🦜🔗">

 - [`OpenAI`](https://python.langchain.com/docs/modules/model_io/models/llms/integrations/openai)
- [`ConversationSummaryMemory`](https://python.langchain.com/docs/modules/memory/how_to/summary)
+- [`ConversationSummaryMemory`](https://python.langchain.com/docs/modules/memory/types/summary)

 </Admonition>
--- a/docs/docs/examples/multiple-vectorstores.mdx
+++ b/docs/docs/examples/multiple-vectorstores.mdx
@ -24,7 +24,7 @@ https://pt.wikipedia.org/wiki/Harry_Potter

 <Admonition type="info">
  Learn more about Multiple Vector Stores
-  [here](https://python.langchain.com/docs/modules/agents/toolkits/vectorstore?highlight=Multiple%20Vector%20Stores#multiple-vectorstores).
+  [here](https://python.langchain.com/docs/modules/data_connection/vectorstores/).
 </Admonition>

 ## ⛓️ Langflow Example
@ -37,6 +37,7 @@ import ZoomableImage from "/src/theme/ZoomableImage.js";
  alt="Docusaurus themed image"
  sources={{
    light: "img/multiple-vectorstores.png",
+    dark: "img/multiple-vectorstores.png",
  }}
 />

@ -44,14 +45,14 @@ import ZoomableImage from "/src/theme/ZoomableImage.js";

 <Admonition type="note" title="LangChain Components 🦜🔗">

- [`WebBaseLoader`](https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/web_base)
- [`TextLoader`](https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/unstructured_file)
+- [`WebBaseLoader`](https://python.langchain.com/docs/integrations/document_loaders/web_base)
+- [`TextLoader`](https://python.langchain.com/docs/modules/data_connection/document_loaders/)
 - [`CharacterTextSplitter`](https://python.langchain.com/docs/modules/data_connection/document_transformers/text_splitters/character_text_splitter)
- [`OpenAIEmbedding`](https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/openai)
- [`Chroma`](https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/chroma)
+- [`OpenAIEmbedding`](https://python.langchain.com/docs/integrations/text_embedding/openai)
+- [`Chroma`](https://python.langchain.com/docs/integrations/vectorstores/chroma)
 - [`VectorStoreInfo`](https://python.langchain.com/docs/modules/data_connection/vectorstores/)
 - [`OpenAI`](https://python.langchain.com/docs/modules/model_io/models/llms/integrations/openai)
- [`VectorStoreRouterToolkit`](https://python.langchain.com/docs/modules/agents/toolkits/vectorstore)
- [`VectorStoreRouterAgent`](https://python.langchain.com/docs/modules/agents/toolkits/vectorstore)
+- [`VectorStoreRouterToolkit`](https://js.langchain.com/docs/modules/agents/tools/how_to/agents_with_vectorstores)
+- [`VectorStoreRouterAgent`](https://js.langchain.com/docs/modules/agents/tools/how_to/agents_with_vectorstores)

 </Admonition>
--- a/docs/docs/examples/python-function.mdx
+++ b/docs/docs/examples/python-function.mdx
@ -28,7 +28,7 @@ The `AgentInitializer` component is a quick way to construct an agent from the m
 <Admonition type="info">
  The `PythonFunction` is a custom component that uses the LangChain 🦜🔗 tool
  decorator. Learn more about it
-  [here](https://python.langchain.com/docs/modules/agents/tools/how_to/custom_tools).
+  [here](https://python.langchain.com/docs/modules/agents/tools/custom_tools).
 </Admonition>

 ## ⛓️ Langflow Example
@ -41,6 +41,7 @@ import ZoomableImage from "/src/theme/ZoomableImage.js";
  alt="Docusaurus themed image"
  sources={{
    light: "img/python-function.png",
+    dark: "img/python-function.png",
  }}
 />

@ -48,7 +49,7 @@ import ZoomableImage from "/src/theme/ZoomableImage.js";

 <Admonition type="note" title="LangChain Components 🦜🔗">

- [`PythonFunctionTool`](https://python.langchain.com/docs/modules/agents/tools/how_to/custom_tools)
+- [`PythonFunctionTool`](https://python.langchain.com/docs/modules/agents/tools/custom_tools)
 - [`ChatOpenAI`](https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai)
 - [`AgentInitializer`](https://python.langchain.com/docs/modules/agents/)

--- a/docs/docs/examples/searchapi-tool.mdx
+++ b/docs/docs/examples/searchapi-tool.mdx
@ -0,0 +1,52 @@
+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.
+
+<Admonition type="info">
+  To use the SearchApi, you must first obtain an API key by registering at [SearchApi's website](https://www.searchapi.io/).
+</Admonition>
+
+In the given example, we specify `engine` as `youtube_transcripts` and provide a `video_id`.
+
+<Admonition type="info">
+  All engines and parameters can be found in [SearchApi documentation](https://www.searchapi.io/docs/google).
+</Admonition>
+
+The `RetrievalQA` chain processes a `Document` along with a user's question to return an answer.
+
+<Admonition type="tip">
+  In this example, we used [`ChatOpenAI`](https://platform.openai.com/) as the
+  LLM, but feel free to experiment with other Language Models!
+</Admonition>
+
+The `RetrievalQA` takes `CombineDocsChain` and `SearchApi` tool as inputs, using the tool as a `Document` to answer questions.
+
+<Admonition type="info">
+  Learn more about the SearchApi
+  [here](https://python.langchain.com/docs/integrations/tools/searchapi).
+</Admonition>
+
+## ⛓️ Langflow Example
+
+import ThemedImage from "@theme/ThemedImage";
+import useBaseUrl from "@docusaurus/useBaseUrl";
+import ZoomableImage from "/src/theme/ZoomableImage.js";
+
+<ZoomableImage
+  alt="Docusaurus themed image"
+  sources={{
+    light: "img/searchapi-tool.png",
+  }}
+/>
+
+#### <a target="\_blank" href="json_files/SearchApi_Tool.json" download>Download Flow</a>
+
+<Admonition type="note" title="LangChain Components 🦜🔗">
+
+- [`OpenAI`](https://python.langchain.com/docs/modules/model_io/models/llms/integrations/openai)
+- [`SearchApiAPIWrapper`](https://python.langchain.com/docs/integrations/providers/searchapi#wrappers)
+- [`ZeroShotAgent`](https://python.langchain.com/docs/modules/agents/how_to/custom_mrkl_agent)
+
+</Admonition>
--- a/docs/docs/examples/serp-api-tool.mdx
+++ b/docs/docs/examples/serp-api-tool.mdx
@ -22,7 +22,7 @@ The `ZeroShotAgent` takes the `LLMChain` and the `Search` tool as inputs, using

 <Admonition type="info">
  Learn more about the Serp API
-  [here](https://python.langchain.com/docs/modules/agents/tools/integrations/serpapi).
+  [here](https://python.langchain.com/docs/integrations/providers/serpapi ).
 </Admonition>

 ## ⛓️ Langflow Example
@ -35,6 +35,7 @@ import ZoomableImage from "/src/theme/ZoomableImage.js";
  alt="Docusaurus themed image"
  sources={{
    light: "img/serp-api-tool.png",
+    dark: "img/serp-api-tool.png",
  }}
 />

@ -45,7 +46,7 @@ import ZoomableImage from "/src/theme/ZoomableImage.js";
 - [`ZeroShotPrompt`](https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/)
 - [`OpenAI`](https://python.langchain.com/docs/modules/model_io/models/llms/integrations/openai)
 - [`LLMChain`](https://python.langchain.com/docs/modules/chains/foundational/llm_chain)
- [`Search`](https://python.langchain.com/docs/modules/agents/tools/integrations/serpapi)
+- [`Search`](https://python.langchain.com/docs/integrations/providers/serpapi)
 - [`ZeroShotAgent`](https://python.langchain.com/docs/modules/agents/how_to/custom_mrkl_agent)

 </Admonition>
--- a/docs/docs/getting-started/creating-flows.mdx
+++ b/docs/docs/getting-started/creating-flows.mdx
@ -13,6 +13,7 @@ Creating flows with Langflow is easy. Drag sidebar components onto the canvas an
  alt="Docusaurus themed image"
  sources={{
    light: "img/langflow_canvas.png",
+    dark: "img/langflow_canvas.png"
  }}
 />

--- a/docs/docs/getting-started/hugging-face-spaces.mdx
+++ b/docs/docs/getting-started/hugging-face-spaces.mdx
@ -12,6 +12,7 @@ import ZoomableImage from "/src/theme/ZoomableImage.js";
  alt="Docusaurus themed image"
  sources={{
    light: "img/hugging-face.png",
+    dark: "img/hugging-face.png",
  }}
  style={{ width: "100%" }}
 />
--- a/docs/docs/guidelines/api.mdx
+++ b/docs/docs/guidelines/api.mdx
@ -17,6 +17,7 @@ Langflow offers an API Key functionality that allows users to access their indiv
  alt="Docusaurus themed image"
  sources={{
    light: useBaseUrl("img/api-key.png"),
+    dark: useBaseUrl("img/api-key.png"),
  }}
  style={{ width: "50%", maxWidth: "600px", margin: "0 auto" }}
 />
--- a/docs/docs/guidelines/chat-interface.mdx
+++ b/docs/docs/guidelines/chat-interface.mdx
@ -13,6 +13,7 @@ Langflow’s chat interface provides a user-friendly experience and functionalit
  alt="Docusaurus themed image"
  sources={{
    light: useBaseUrl("img/chat_interface.png"),
+    dark: useBaseUrl("img/chat_interface.png"),
  }}
  style={{ width: "100%", maxWidth: "800px", margin: "0 auto" }}
 />
@ -25,6 +26,7 @@ Notice that editing variables in the chat interface take place temporarily and w
  alt="Docusaurus themed image"
  sources={{
    light: useBaseUrl("img/chat_interface2.png"),
+    dark: useBaseUrl("img/chat_interface2.png"),
  }}
  style={{ width: "100%", maxWidth: "800px", margin: "0 auto" }}
 />
@ -36,6 +38,7 @@ To view the complete prompt in its original, structured format, click the "Displ
  alt="Docusaurus themed image"
  sources={{
    light: useBaseUrl("img/chat_interface3.png"),
+    dark: useBaseUrl("img/chat_interface3.png"),
  }}
  style={{ width: "100%", maxWidth: "800px", margin: "0 auto" }}
 />
@ -47,6 +50,7 @@ In the chat interface, you can redefine which variable should be interpreted as
  alt="Docusaurus themed image"
  sources={{
    light: useBaseUrl("img/chat_interface4.png"),
+    dark: useBaseUrl("img/chat_interface4.png"),
  }}
  style={{ width: "100%", maxWidth: "800px", margin: "0 auto" }}
 />
--- a/docs/docs/guidelines/chat-widget.mdx
+++ b/docs/docs/guidelines/chat-widget.mdx
@ -38,6 +38,7 @@ import Admonition from "@theme/Admonition";
  alt="Docusaurus themed image"
  sources={{
    light: useBaseUrl("img/widget-sidebar.png"),
+    dark: useBaseUrl("img/widget-sidebar.png"),
  }}
  style={{ width: "50%", maxWidth: "600px", margin: "0 auto" }}
 />
@ -53,6 +54,7 @@ import Admonition from "@theme/Admonition";
  alt="Docusaurus themed image"
  sources={{
    light: useBaseUrl("img/widget-code.png"),
+    dark: useBaseUrl("img/widget-code.png"),
  }}
  style={{ width: "100%", maxWidth: "800px", margin: "0 auto" }}
 />
--- a/docs/docs/guidelines/components.mdx
+++ b/docs/docs/guidelines/components.mdx
@ -30,6 +30,7 @@ Components are the building blocks of the flows. They are made of inputs, output
  alt="Docusaurus themed image"
  sources={{
    light: useBaseUrl("img/single-compenent.png"),
+    dark: useBaseUrl("img/single-compenent.png"),
  }}
  style={{ width: "100%", maxWidth: "800px", margin: "0 auto" }}
 />
--- a/docs/docs/guidelines/custom-component.mdx
+++ b/docs/docs/guidelines/custom-component.mdx
@ -63,6 +63,7 @@ class DocumentProcessor(CustomComponent):
    alt="Document Processor Component"
    sources={{
        light: "img/document_processor.png",
+        dark: "img/document_processor.png",
    }}
    style={{
        margin: "0 auto",
@ -330,6 +331,7 @@ All done! This is what our script and brand-new custom component look like:
    alt="Document Processor Code"
    sources={{
        light: "img/document_processor_code.png",
+        dark: "img/document_processor_code.png",
    }}
    style={{
        maxWidth: "100%",
@ -344,6 +346,7 @@ All done! This is what our script and brand-new custom component look like:
    alt="Document Processor Component"
    sources={{
        light: "img/document_processor.png",
+        dark: "img/document_processor.png",
    }}
    style={{
        width: "40%",
--- a/docs/docs/guidelines/features.mdx
+++ b/docs/docs/guidelines/features.mdx
@ -18,6 +18,7 @@ import Admonition from "@theme/Admonition";
  alt="Docusaurus themed image"
  sources={{
    light: useBaseUrl("img/features.png"),
+    dark: useBaseUrl("img/features.png"),
  }}
  style={{ width: "100%", maxWidth: "800px", margin: "0 auto" }}
 />
--- a/docs/docs/guidelines/login.mdx
+++ b/docs/docs/guidelines/login.mdx
@ -86,6 +86,7 @@ With _`LANGFLOW_AUTO_LOGIN`_ set to _`False`_, Langflow requires users to sign u
  alt="Docusaurus themed image"
  sources={{
    light: useBaseUrl("img/sign-up.png"),
+    dark: useBaseUrl("img/sign-up.png"),
  }}
  style={{ width: "50%", maxWidth: "600px", margin: "0 auto" }}
 />
@ -102,6 +103,7 @@ Users can change their profile settings by clicking on the profile icon in the t
  alt="Docusaurus themed image"
  sources={{
    light: useBaseUrl("img/my-account.png"),
+    dark: useBaseUrl("img/my-account.png"),
  }}
  style={{ width: "50%", maxWidth: "600px", margin: "0 auto" }}
 />
@ -112,6 +114,7 @@ By clicking on **Profile Settings**, the user is taken to the profile settings p
  alt="Docusaurus themed image"
  sources={{
    light: useBaseUrl("img/profile-settings.png"),
+    dark: useBaseUrl("img/profile-settings.png"),
  }}
  style={{ maxWidth: "600px", margin: "0 auto" }}
 />
@ -122,6 +125,7 @@ By clicking on **Admin Page**, the superuser is taken to the admin page, where t
  alt="Docusaurus themed image"
  sources={{
    light: useBaseUrl("img/admin-page.png"),
+    dark: useBaseUrl("img/admin-page.png"),
  }}
  style={{ maxWidth: "600px", margin: "0 auto" }}

--- a/docs/docs/guidelines/prompt-customization.mdx
+++ b/docs/docs/guidelines/prompt-customization.mdx
@ -13,6 +13,7 @@ The prompt template allows users to create prompts and define variables that pro
  alt="Docusaurus themed image"
  sources={{
    light: useBaseUrl("img/prompt_customization.png"),
+    dark: useBaseUrl("img/prompt_customization.png"),
  }}
  style={{ width: "100%", maxWidth: "800px", margin: "0 auto" }}
 />
@ -25,6 +26,7 @@ Variables can be used to define instructions, questions, context, inputs, or exa
  alt="Docusaurus themed image"
  sources={{
    light: useBaseUrl("img/prompt_customization2.png"),
+    dark: useBaseUrl("img/prompt_customization2.png"),
  }}
  style={{ width: "100%", maxWidth: "800px", margin: "0 auto" }}
 />
@ -37,6 +39,7 @@ Once inserted, these variables are immediately recognized as new fields in the p
  alt="Docusaurus themed image"
  sources={{
    light: useBaseUrl("img/prompt_customization3.png"),
+    dark: useBaseUrl("img/prompt_customization3.png"),
  }}
  style={{ width: "100%", maxWidth: "800px", margin: "0 auto" }}
 />
@ -49,6 +52,7 @@ You can also use documents or output parsers as prompt variables. By plugging th
  alt="Docusaurus themed image"
  sources={{
    light: useBaseUrl("img/prompt_customization4.png"),
+    dark: useBaseUrl("img/prompt_customization4.png"),
  }}
  style={{ width: "100%", maxWidth: "800px", margin: "0 auto" }}
 />
@ -63,6 +67,7 @@ If working with an interactive (chat-like) flow, remember to keep one of the inp
  alt="Docusaurus themed image"
  sources={{
    light: useBaseUrl("img/prompt_customization5.png"),
+    dark: useBaseUrl("img/prompt_customization5.png"),
  }}
  style={{ width: "100%", maxWidth: "800px", margin: "0 auto" }}
 />
--- a/docs/docs/index.mdx
+++ b/docs/docs/index.mdx
@ -12,6 +12,7 @@ import ZoomableImage from "/src/theme/ZoomableImage.js";
  alt="Docusaurus themed image"
  sources={{
    light: "img/new_langflow_demo.gif",
+    dark: "img/new_langflow_demo.gif",
  }}
  style={{ width: "100%" }}
 />
--- a/docs/sidebars.js
+++ b/docs/sidebars.js
@ -82,6 +82,7 @@ module.exports = {
        "examples/buffer-memory",
        "examples/midjourney-prompt-chain",
        "examples/csv-loader",
+        "examples/searchapi-tool",
        "examples/serp-api-tool",
        "examples/multiple-vectorstores",
        "examples/python-function",
--- a/docs/static/img/searchapi-tool.png
+++ b/docs/static/img/searchapi-tool.png
--- a/docs/static/json_files/SearchApi_Tool.json
+++ b/docs/static/json_files/SearchApi_Tool.json
--- a/docs/static/videos/langflow_api.mp4
+++ b/docs/static/videos/langflow_api.mp4
--- a/docs/static/videos/langflow_build.mp4
+++ b/docs/static/videos/langflow_build.mp4
--- a/docs/static/videos/langflow_collection.mp4
+++ b/docs/static/videos/langflow_collection.mp4
--- a/docs/static/videos/langflow_collection_example.mp4
+++ b/docs/static/videos/langflow_collection_example.mp4
--- a/docs/static/videos/langflow_fork.mp4
+++ b/docs/static/videos/langflow_fork.mp4
--- a/docs/static/videos/langflow_parameters.mp4
+++ b/docs/static/videos/langflow_parameters.mp4
--- a/docs/static/videos/langflow_widget.mp4
+++ b/docs/static/videos/langflow_widget.mp4
--- a/poetry.lock
+++ b/poetry.lock
@ -418,17 +418,17 @@ files = [

 [[package]]
 name = "boto3"
-version = "1.34.50"
+version = "1.34.52"
 description = "The AWS SDK for Python"
 optional = false
 python-versions = ">= 3.8"
 files = [
-    {file = "boto3-1.34.50-py3-none-any.whl", hash = "sha256:8d709365231234bc4f0ca98fdf33a25eeebf78072853c6aa3d259f0f5cf09877"},
-    {file = "boto3-1.34.50.tar.gz", hash = "sha256:290952be7899560039cb0042e8a2354f61a7dead0d0ca8bea6ba901930df0468"},
+    {file = "boto3-1.34.52-py3-none-any.whl", hash = "sha256:898ad2123b18cae8efd85adc56ac2d1925be54592aebc237020d4f16e9a9e7a9"},
+    {file = "boto3-1.34.52.tar.gz", hash = "sha256:66303b5f26d92afb72656ff490b22ea72dfff8bf1a29e4a0c5d5f11ec56245dd"},
 ]

 [package.dependencies]
-botocore = ">=1.34.50,<1.35.0"
+botocore = ">=1.34.52,<1.35.0"
 jmespath = ">=0.7.1,<2.0.0"
 s3transfer = ">=0.10.0,<0.11.0"

@ -437,13 +437,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]

 [[package]]
 name = "botocore"
-version = "1.34.50"
+version = "1.34.52"
 description = "Low-level, data-driven core of boto 3."
 optional = false
 python-versions = ">= 3.8"
 files = [
-    {file = "botocore-1.34.50-py3-none-any.whl", hash = "sha256:fda510559dbe796eefdb59561cc81be1b99afba3dee53fd23db9a3d587adc0ab"},
-    {file = "botocore-1.34.50.tar.gz", hash = "sha256:33ab82cb96c4bb684f0dbafb071808e4817d83debc88b223e7d988256370c6d7"},
+    {file = "botocore-1.34.52-py3-none-any.whl", hash = "sha256:05567d8aba344826060481ea309555432c96f0febe22bee7cf5a3b6d3a03cec8"},
+    {file = "botocore-1.34.52.tar.gz", hash = "sha256:187da93aec3f2e87d8a31eced16fa2cb9c71fe2d69b0a797f9f7a9220f5bf7ae"},
 ]

 [package.dependencies]
@ -889,13 +889,13 @@ numpy = "*"

 [[package]]
 name = "chromadb"
-version = "0.4.23"
+version = "0.4.24"
 description = "Chroma."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "chromadb-0.4.23-py3-none-any.whl", hash = "sha256:3d3c2ffb4ff560721e3daf8c1a3729fd149c551525b6f75543eddb81a4f29e16"},
-    {file = "chromadb-0.4.23.tar.gz", hash = "sha256:54d9a770640704c6cedc15317faab9fd45beb9833e7484c00037e7a8801a349f"},
+    {file = "chromadb-0.4.24-py3-none-any.whl", hash = "sha256:3a08e237a4ad28b5d176685bd22429a03717fe09d35022fb230d516108da01da"},
+    {file = "chromadb-0.4.24.tar.gz", hash = "sha256:a5c80b4e4ad9b236ed2d4899a5b9e8002b489293f2881cb2cadab5b199ee1c72"},
 ]

 [package.dependencies]
@ -2268,13 +2268,13 @@ grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]

 [[package]]
 name = "google-api-python-client"
-version = "2.119.0"
+version = "2.120.0"
 description = "Google API Client Library for Python"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "google-api-python-client-2.119.0.tar.gz", hash = "sha256:ff9ef7539eaf7e088a481b25d1af4704210b07863e1d51b5ee498b910a3a46a3"},
-    {file = "google_api_python_client-2.119.0-py2.py3-none-any.whl", hash = "sha256:84e43bdb58dd8d2301669513863996378ffe9a3bf6d23b5ccd4f1e021323dbeb"},
+    {file = "google-api-python-client-2.120.0.tar.gz", hash = "sha256:a0c8769cad9576768bcb3191cb1f550f6ab3290cba042badb0fb17bba03f70cc"},
+    {file = "google_api_python_client-2.120.0-py2.py3-none-any.whl", hash = "sha256:e2cdf4497bfc758fb44a4b487920cc1ca0571c2428187697a8e43e3b9feba1c9"},
 ]

 [package.dependencies]
@ -2375,13 +2375,13 @@ grpc = ["grpcio (>=1.44.0,<2.0.0.dev0)"]

 [[package]]
 name = "gotrue"
-version = "2.1.0"
+version = "2.4.1"
 description = "Python Client Library for GoTrue"
 optional = false
 python-versions = ">=3.8,<4.0"
 files = [
-    {file = "gotrue-2.1.0-py3-none-any.whl", hash = "sha256:6483d9a3ac9be1d1ad510be24171e133aa1cec702cc10a8f323b9e7519642447"},
-    {file = "gotrue-2.1.0.tar.gz", hash = "sha256:b21d48ee64f0f6a1ed111efe4871a83e542529f1a75a264833b50e6433cd3c98"},
+    {file = "gotrue-2.4.1-py3-none-any.whl", hash = "sha256:9647bb7a585c969d26667df21168fa20b18f91c5d6afe286af08d7a0610fd2cc"},
+    {file = "gotrue-2.4.1.tar.gz", hash = "sha256:8b260ef285f45a3a2f9b5a006f12afb9fad7a36a28fa277f19e733f22eb88584"},
 ]

 [package.dependencies]
@ -3332,13 +3332,13 @@ extended-testing = ["aiosqlite (>=0.19.0,<0.20.0)", "aleph-alpha-client (>=2.15.

 [[package]]
 name = "langchain-core"
-version = "0.1.26"
+version = "0.1.27"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = ">=3.8.1,<4.0"
 files = [
-    {file = "langchain_core-0.1.26-py3-none-any.whl", hash = "sha256:4f54cd26c27473172d7a214a5507a4c0e3255c6d8c25d9087afdc967f5588516"},
-    {file = "langchain_core-0.1.26.tar.gz", hash = "sha256:6186758d62015723aac67ef1a2055695d03e82c4dd4074217975b0c62faf4b17"},
+    {file = "langchain_core-0.1.27-py3-none-any.whl", hash = "sha256:68eb89dc4a932baf4fb6b4b75b7119eec9e5405e892d2137e9fe0a1d24a40d0c"},
+    {file = "langchain_core-0.1.27.tar.gz", hash = "sha256:698414223525c0bc130d85a614e1493905d588ab72fe0c9ad3b537b1dc62067f"},
 ]

 [package.dependencies]
@ -3356,18 +3356,18 @@ extended-testing = ["jinja2 (>=3,<4)"]

 [[package]]
 name = "langchain-experimental"
-version = "0.0.52"
+version = "0.0.53"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = ">=3.8.1,<4.0"
 files = [
-    {file = "langchain_experimental-0.0.52-py3-none-any.whl", hash = "sha256:30bc6f4aba3ceef75a29b92d775110bbfeb35a7ddb50555fa3b09d4acbf20caa"},
-    {file = "langchain_experimental-0.0.52.tar.gz", hash = "sha256:c8f896d8b9fec363038c9a7f0acb16d0b69d0ed31134eed79ea9c31fd5569256"},
+    {file = "langchain_experimental-0.0.53-py3-none-any.whl", hash = "sha256:0e086d163891c7781f61d01739e37a7230fd68dfd73a12e81aa4506f82338956"},
+    {file = "langchain_experimental-0.0.53.tar.gz", hash = "sha256:f8c1df800e70e7f8d7b969d2bf4c0188d183036a8707105ba469e25f44ec7b2f"},
 ]

 [package.dependencies]
 langchain = ">=0.1.8,<0.2.0"
-langchain-core = ">=0.1.24,<0.2.0"
+langchain-core = ">=0.1.27,<0.2.0"

 [package.extras]
 extended-testing = ["faker (>=19.3.1,<20.0.0)", "jinja2 (>=3,<4)", "pandas (>=2.0.1,<3.0.0)", "presidio-analyzer (>=2.2.352,<3.0.0)", "presidio-anonymizer (>=2.2.352,<3.0.0)", "sentence-transformers (>=2,<3)", "tabulate (>=0.9.0,<0.10.0)", "vowpal-wabbit-next (==0.6.0)"]
@ -3423,37 +3423,37 @@ six = "*"

 [[package]]
 name = "langfuse"
-version = "2.16.2"
+version = "2.19.0"
 description = "A client library for accessing langfuse"
 optional = false
-python-versions = ">=3.8.1,<3.13"
+python-versions = ">=3.8.1,<4.0"
 files = [
-    {file = "langfuse-2.16.2-py3-none-any.whl", hash = "sha256:6aa6911a9fb9cb1a9ffc67c9afb88e741ff95888ca711b03278e49b73a36adb1"},
-    {file = "langfuse-2.16.2.tar.gz", hash = "sha256:17bec8a86497a836a75fd87aeebd8d333800570b5988eae71d72d1d99fe22431"},
+    {file = "langfuse-2.19.0-py3-none-any.whl", hash = "sha256:33c8833e4a6b55ef2b2f3342f861a3c9960155da26554bc7eb2fd1bfeb5bea4f"},
+    {file = "langfuse-2.19.0.tar.gz", hash = "sha256:a445b90b9047754d6a0f0fa0fbb93a191bdce48ba7a685798d0d92fc45f625c6"},
 ]

 [package.dependencies]
 backoff = ">=2.2.1,<3.0.0"
 chevron = ">=0.14.0,<0.15.0"
-httpx = ">=0.15.4,<0.26.0"
+httpx = ">=0.15.4,<1.0"
 openai = ">=0.27.8"
 packaging = ">=23.2,<24.0"
 pydantic = ">=1.10.7,<3.0"
-wrapt = "1.14"
+wrapt = ">=1.14,<2.0"

 [package.extras]
 langchain = ["langchain (>=0.0.309)"]
-llama-index = ["llama-index (>=0.10.6,<0.11.0)"]
+llama-index = ["llama-index (>=0.10.12,<0.11.0)"]

 [[package]]
 name = "langsmith"
-version = "0.1.9"
+version = "0.1.10"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
 optional = false
 python-versions = ">=3.8.1,<4.0"
 files = [
-    {file = "langsmith-0.1.9-py3-none-any.whl", hash = "sha256:f821b3cb07a87eac5cb2181ff0b61051811e4eef09ae4b46e700981f7ae5dfb9"},
-    {file = "langsmith-0.1.9.tar.gz", hash = "sha256:9bd3e80607722c3d2db84cf3440005491a859b80b5e499bc988032d5c2da91f0"},
+    {file = "langsmith-0.1.10-py3-none-any.whl", hash = "sha256:2997a80aea60ed235d83502a7ccdc1f62ffb4dd6b3b7dd4218e8fa4de68a6725"},
+    {file = "langsmith-0.1.10.tar.gz", hash = "sha256:13e7e8b52e694aa4003370cefbb9e79cce3540c65dbf1517902bf7aa4dbbb653"},
 ]

 [package.dependencies]
@ -3480,12 +3480,12 @@ regex = ["regex"]

 [[package]]
 name = "llama-cpp-python"
-version = "0.2.52"
+version = "0.2.53"
 description = "Python bindings for the llama.cpp library"
 optional = true
 python-versions = ">=3.8"
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@ -3502,19 +3502,19 @@ test = ["httpx (>=0.24.1)", "pytest (>=7.4.0)", "scipy (>=1.10)"]

 [[package]]
 name = "llama-index"
-version = "0.10.13.post1"
+version = "0.10.14"
 description = "Interface between LLMs and your data"
 optional = false
 python-versions = ">=3.8.1,<4.0"
 files = [
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 llama-index-cli = ">=0.1.2,<0.2.0"
-llama-index-core = ">=0.10.13,<0.11.0"
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 llama-index-embeddings-openai = ">=0.1.5,<0.2.0"
 llama-index-indices-managed-llama-cloud = ">=0.1.2,<0.2.0"
 llama-index-legacy = ">=0.9.48,<0.10.0"
@ -3542,13 +3542,13 @@ llama-index-llms-openai = ">=0.1.5,<0.2.0"

 [[package]]
 name = "llama-index-cli"
-version = "0.1.5"
+version = "0.1.6"
 description = "llama-index cli"
 optional = false
 python-versions = ">=3.8.1,<4.0"
 files = [
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 ]

 [package.dependencies]
@ -3559,13 +3559,13 @@ llama-index-vector-stores-chroma = ">=0.1.1,<0.2.0"

 [[package]]
 name = "llama-index-core"
-version = "0.10.13"
+version = "0.10.14"
 description = "Interface between LLMs and your data"
 optional = false
 python-versions = ">=3.8.1,<4.0"
 files = [
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 ]

 [package.dependencies]
@ -3764,13 +3764,13 @@ llama-parse = ">=0.3.3,<0.4.0"

 [[package]]
 name = "llama-index-vector-stores-chroma"
-version = "0.1.4"
+version = "0.1.5"
 description = "llama-index vector_stores chroma integration"
 optional = false
 python-versions = ">=3.8.1,<4.0"
 files = [
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 ]

 [package.dependencies]
@ -3781,13 +3781,13 @@ tokenizers = ">=0.15.1,<0.16.0"

 [[package]]
 name = "llama-parse"
-version = "0.3.4"
+version = "0.3.5"
 description = "Parse files into RAG-Optimized formats."
 optional = false
 python-versions = ">=3.8.1,<4.0"
 files = [
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 ]

 [package.dependencies]
@ -3810,13 +3810,13 @@ pydantic = ">=1.10"

 [[package]]
 name = "locust"
-version = "2.23.1"
+version = "2.24.0"
 description = "Developer friendly load testing framework"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]

 [package.dependencies]
@ -3832,6 +3832,7 @@ pywin32 = {version = "*", markers = "platform_system == \"Windows\""}
 pyzmq = ">=25.0.0"
 requests = ">=2.26.0"
 roundrobin = ">=0.0.2"
+tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
 Werkzeug = ">=2.0.0"

 [[package]]
@ -4906,13 +4907,13 @@ sympy = "*"

 [[package]]
 name = "openai"
-version = "1.12.0"
+version = "1.13.3"
 description = "The official Python library for the openai API"
 optional = false
 python-versions = ">=3.7.1"
 files = [
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 [package.dependencies]
@ -5488,13 +5489,13 @@ tests = ["pytest (>=5.4.1)", "pytest-cov (>=2.8.1)", "pytest-mypy (>=0.8.0)", "p

 [[package]]
 name = "postgrest"
-version = "0.15.0"
+version = "0.16.1"
 description = "PostgREST client for Python. This library provides an ORM interface to PostgREST."
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 python-versions = ">=3.8,<4.0"
 files = [
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 [package.dependencies]
@ -6042,13 +6043,13 @@ files = [

 [[package]]
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+version = "2.6.3"
 description = "Data validation using Python type hints"
 optional = false
 python-versions = ">=3.8"
 files = [
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 [package.dependencies]
@ -6289,42 +6290,37 @@ zstd = ["zstandard"]

 [[package]]
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 python-versions = ">=3.8"
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 [[package]]
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 [[package]]
 name = "sentence-transformers"
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 storage3 = ">=0.5.3,<0.8.0"
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 [[package]]
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 [[package]]
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 azure = ["adlfs", "fsspec"]
 azure-cognitive-search = ["azure-search-documents"]
 bedrock = ["boto3", "langchain-community"]
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 [[package]]
@ -9385,4 +9388,4 @@ local = ["ctransformers", "llama-cpp-python", "sentence-transformers"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.9,<3.12"
-content-hash = "e34d70b4ca2e9bdab5478d4b0b31dc39379c4506d1cc6962e378090570ce757c"
+content-hash = "524743a03769e472c83325641463bddb09f51dfc6ad50f8454c204bba8f484b5"
--- a/pyproject.toml
+++ b/pyproject.toml
@ -61,7 +61,7 @@ python-multipart = "^0.0.7"
 sqlmodel = "^0.0.14"
 faiss-cpu = "^1.7.4"
 anthropic = "^0.15.0"
-orjson = "^3.9.3"
+orjson = "3.9.15"
 multiprocess = "^0.70.14"
 cachetools = "^5.3.1"
 types-cachetools = "^5.3.0.5"
--- a/src/backend/langflow/main.py
+++ b/src/backend/langflow/main.py
@ -109,7 +109,11 @@ def version_callback(value: bool):
@app.callback()
 def main_entry_point(
    version: bool = typer.Option(
-        None, "--version", callback=version_callback, is_eager=True, help="Show the version and exit."
+        None,
+        "--version",
+        callback=version_callback,
+        is_eager=True,
+        help="Show the version and exit.",
    ),
 ):
    """
--- a/src/backend/langflow/alembic.ini
+++ b/src/backend/langflow/alembic.ini
@ -63,7 +63,7 @@ version_path_separator = os  # Use os.pathsep. Default configuration used for ne
 # This is the path to the db in the root of the project.
 # When the user runs the Langflow the database url will
 # be set dinamically.
-sqlalchemy.url = sqlite:///../../../langflow.db
+sqlalchemy.url = sqlite:///./langflow.db


 [post_write_hooks]
@ -98,7 +98,7 @@ handlers =
 qualname = sqlalchemy.engine

 [logger_alembic]
-level = INFO
+level = DEBUG
 handlers =
 qualname = alembic

--- a/src/backend/langflow/alembic/env.py
+++ b/src/backend/langflow/alembic/env.py
@ -1,10 +1,11 @@
+import os
 from logging.config import fileConfig

-from sqlalchemy import engine_from_config
-from sqlalchemy import pool
-
 from alembic import context
+from loguru import logger
+from sqlalchemy import engine_from_config, pool

+from langflow.services.database.models import *  # noqa
 from langflow.services.database.service import SQLModel

 # this is the Alembic Config object, which provides
@ -40,7 +41,8 @@ def run_migrations_offline() -> None:
    script output.

    """
-    url = config.get_main_option("sqlalchemy.url")
+    url = os.getenv("LANGFLOW_DATABASE_URL")
+    url = url or config.get_main_option("sqlalchemy.url")
    context.configure(
        url=url,
        target_metadata=target_metadata,
@ -60,12 +62,17 @@ def run_migrations_online() -> None:
    and associate a connection with the context.

    """
-    connectable = engine_from_config(
-        config.get_section(config.config_ini_section, {}),
-        prefix="sqlalchemy.",
-        poolclass=pool.NullPool,
-    )
+    from langflow.services.deps import get_db_service

+    try:
+        connectable = get_db_service().engine
+    except Exception as e:
+        logger.error(f"Error getting database engine: {e}")
+        connectable = engine_from_config(
+            config.get_section(config.config_ini_section, {}),
+            prefix="sqlalchemy.",
+            poolclass=pool.NullPool,
+        )
    with connectable.connect() as connection:
        context.configure(
            connection=connection, target_metadata=target_metadata, render_as_batch=True
--- a/src/backend/langflow/alembic/script.py.mako
+++ b/src/backend/langflow/alembic/script.py.mako
@ -10,6 +10,7 @@ from typing import Sequence, Union
 from alembic import op
 import sqlalchemy as sa
 import sqlmodel
+from sqlalchemy.engine.reflection import Inspector
 ${imports if imports else ""}

 # revision identifiers, used by Alembic.
@ -20,8 +21,12 @@ depends_on: Union[str, Sequence[str], None] = ${repr(depends_on)}


 def upgrade() -> None:
+    conn = op.get_bind()
+    inspector = Inspector.from_engine(conn)  # type: ignore
    ${upgrades if upgrades else "pass"}


 def downgrade() -> None:
+    conn = op.get_bind()
+    inspector = Inspector.from_engine(conn)  # type: ignore
    ${downgrades if downgrades else "pass"}
--- a/src/backend/langflow/alembic/versions/006b3990db50_add_unique_constraints.py
+++ b/src/backend/langflow/alembic/versions/006b3990db50_add_unique_constraints.py
@ -5,28 +5,43 @@ Revises: 1ef9c4f3765d
 Create Date: 2023-12-13 18:55:52.587360

 """
+
 from typing import Sequence, Union

 from alembic import op
+from sqlalchemy.engine.reflection import Inspector

 # revision identifiers, used by Alembic.
-revision: str = '006b3990db50'
-down_revision: Union[str, None] = '1ef9c4f3765d'
+revision: str = "006b3990db50"
+down_revision: Union[str, None] = "1ef9c4f3765d"
 branch_labels: Union[str, Sequence[str], None] = None
 depends_on: Union[str, Sequence[str], None] = None


 def upgrade() -> None:
    # ### commands auto generated by Alembic - please adjust! ###
+    conn = op.get_bind()
+    inspector = Inspector.from_engine(conn)  # type: ignore
+    api_key_constraints = inspector.get_unique_constraints("apikey")
+    flow_constraints = inspector.get_unique_constraints("flow")
+    user_constraints = inspector.get_unique_constraints("user")
    try:
-        with op.batch_alter_table('apikey', schema=None) as batch_op:
-            batch_op.create_unique_constraint('uq_apikey_id', ['id'])
+        if not any(
+            constraint["name"] == "uq_apikey_id" for constraint in api_key_constraints
+        ):
+            with op.batch_alter_table("apikey", schema=None) as batch_op:

-        with op.batch_alter_table('flow', schema=None) as batch_op:
-            batch_op.create_unique_constraint('uq_flow_id', ['id'])
-
-        with op.batch_alter_table('user', schema=None) as batch_op:
-            batch_op.create_unique_constraint('uq_user_id', ['id'])
+                batch_op.create_unique_constraint("uq_apikey_id", ["id"])
+        if not any(
+            constraint["name"] == "uq_flow_id" for constraint in flow_constraints
+        ):
+            with op.batch_alter_table("flow", schema=None) as batch_op:
+                batch_op.create_unique_constraint("uq_flow_id", ["id"])
+        if not any(
+            constraint["name"] == "uq_user_id" for constraint in user_constraints
+        ):
+            with op.batch_alter_table("user", schema=None) as batch_op:
+                batch_op.create_unique_constraint("uq_user_id", ["id"])
    except Exception as e:
        print(e)
        pass
@ -36,15 +51,24 @@ def upgrade() -> None:

 def downgrade() -> None:
    # ### commands auto generated by Alembic - please adjust! ###
+    conn = op.get_bind()
+    inspector = Inspector.from_engine(conn)  # type: ignore
+    api_key_constraints = inspector.get_unique_constraints("apikey")
+    flow_constraints = inspector.get_unique_constraints("flow")
+    user_constraints = inspector.get_unique_constraints("user")
    try:
-        with op.batch_alter_table('user', schema=None) as batch_op:
-            batch_op.drop_constraint('uq_user_id', type_='unique')
+        if any(
+            constraint["name"] == "uq_apikey_id" for constraint in api_key_constraints
+        ):
+            with op.batch_alter_table("user", schema=None) as batch_op:
+                batch_op.drop_constraint("uq_user_id", type_="unique")
+        if any(constraint["name"] == "uq_flow_id" for constraint in flow_constraints):
+            with op.batch_alter_table("flow", schema=None) as batch_op:
+                batch_op.drop_constraint("uq_flow_id", type_="unique")
+        if any(constraint["name"] == "uq_user_id" for constraint in user_constraints):

-        with op.batch_alter_table('flow', schema=None) as batch_op:
-            batch_op.drop_constraint('uq_flow_id', type_='unique')
-
-        with op.batch_alter_table('apikey', schema=None) as batch_op:
-            batch_op.drop_constraint('uq_apikey_id', type_='unique')
+            with op.batch_alter_table("apikey", schema=None) as batch_op:
+                batch_op.drop_constraint("uq_apikey_id", type_="unique")
    except Exception as e:
        print(e)
        pass
--- a/src/backend/langflow/alembic/versions/0b8757876a7c_.py
+++ b/src/backend/langflow/alembic/versions/0b8757876a7c_.py
@ -5,67 +5,25 @@ Revises: 006b3990db50
 Create Date: 2024-01-17 10:32:56.686287

 """
+
 from typing import Sequence, Union

-from alembic import op
-
 # revision identifiers, used by Alembic.
-revision: str = '0b8757876a7c'
-down_revision: Union[str, None] = '006b3990db50'
+revision: str = "0b8757876a7c"
+down_revision: Union[str, None] = "006b3990db50"
 branch_labels: Union[str, Sequence[str], None] = None
 depends_on: Union[str, Sequence[str], None] = None


 def upgrade() -> None:
    # ### commands auto generated by Alembic - please adjust! ###
-    try:
-        with op.batch_alter_table('apikey', schema=None) as batch_op:
-            batch_op.create_index(batch_op.f('ix_apikey_api_key'), ['api_key'], unique=True)
-            batch_op.create_index(batch_op.f('ix_apikey_name'), ['name'], unique=False)
-            batch_op.create_index(batch_op.f('ix_apikey_user_id'), ['user_id'], unique=False)
-    except Exception as e:
-        print(e)
-        pass
-    try:
-        with op.batch_alter_table('flow', schema=None) as batch_op:
-            batch_op.create_index(batch_op.f('ix_flow_description'), ['description'], unique=False)
-            batch_op.create_index(batch_op.f('ix_flow_name'), ['name'], unique=False)
-            batch_op.create_index(batch_op.f('ix_flow_user_id'), ['user_id'], unique=False)
-    except Exception as e:
-        print(e)
-        pass
+    pass

-    try:
-        with op.batch_alter_table('user', schema=None) as batch_op:
-            batch_op.create_index(batch_op.f('ix_user_username'), ['username'], unique=True)
-    except Exception as e:
-        print(e)
-        pass
    # ### end Alembic commands ###


 def downgrade() -> None:
    # ### commands auto generated by Alembic - please adjust! ###
-    try:
-        with op.batch_alter_table('user', schema=None) as batch_op:
-            batch_op.drop_index(batch_op.f('ix_user_username'))
-    except Exception as e:
-        print(e)
-        pass
-    try:
-        with op.batch_alter_table('flow', schema=None) as batch_op:
-            batch_op.drop_index(batch_op.f('ix_flow_user_id'))
-            batch_op.drop_index(batch_op.f('ix_flow_name'))
-            batch_op.drop_index(batch_op.f('ix_flow_description'))
-    except Exception as e:
-        print(e)
-        pass
-    try:
-        with op.batch_alter_table('apikey', schema=None) as batch_op:
-            batch_op.drop_index(batch_op.f('ix_apikey_user_id'))
-            batch_op.drop_index(batch_op.f('ix_apikey_name'))
-            batch_op.drop_index(batch_op.f('ix_apikey_api_key'))
-    except Exception as e:
-        print(e)
-        pass
-    # ### end Alembic commands ###
+
+    pass
+    # ### end Alembic commands ###
--- a/src/backend/langflow/alembic/versions/1ef9c4f3765d_.py
+++ b/src/backend/langflow/alembic/versions/1ef9c4f3765d_.py
@ -6,6 +6,7 @@ Revises: fd531f8868b1
 Create Date: 2023-12-04 15:00:27.968998

 """
+
 from typing import Sequence, Union

 import sqlalchemy as sa
@ -13,8 +14,8 @@ import sqlmodel
 from alembic import op

 # revision identifiers, used by Alembic.
-revision: str = '1ef9c4f3765d'
-down_revision: Union[str, None] = 'fd531f8868b1'
+revision: str = "1ef9c4f3765d"
+down_revision: Union[str, None] = "fd531f8868b1"
 branch_labels: Union[str, Sequence[str], None] = None
 depends_on: Union[str, Sequence[str], None] = None

@ -22,10 +23,10 @@ depends_on: Union[str, Sequence[str], None] = None
 def upgrade() -> None:
    # ### commands auto generated by Alembic - please adjust! ###
    try:
-        with op.batch_alter_table('apikey', schema=None) as batch_op:
-            batch_op.alter_column('name',
-                existing_type=sqlmodel.sql.sqltypes.AutoString(),
-                nullable=True)
+        with op.batch_alter_table("apikey", schema=None) as batch_op:
+            batch_op.alter_column(
+                "name", existing_type=sqlmodel.sql.sqltypes.AutoString(), nullable=True
+            )
    except Exception as e:
        pass
    # ### end Alembic commands ###
@ -34,10 +35,8 @@ def upgrade() -> None:
 def downgrade() -> None:
    # ### commands auto generated by Alembic - please adjust! ###
    try:
-        with op.batch_alter_table('apikey', schema=None) as batch_op:
-            batch_op.alter_column('name',
-                existing_type=sa.VARCHAR(),
-                nullable=False)
+        with op.batch_alter_table("apikey", schema=None) as batch_op:
+            batch_op.alter_column("name", existing_type=sa.VARCHAR(), nullable=False)
    except Exception as e:
        pass
    # ### end Alembic commands ###
--- a/src/backend/langflow/alembic/versions/260dbcc8b680_adds_tables.py
+++ b/src/backend/langflow/alembic/versions/260dbcc8b680_adds_tables.py
@ -5,6 +5,7 @@ Revises:
 Create Date: 2023-08-27 19:49:02.681355

 """
+
 from typing import Sequence, Union

 import sqlalchemy as sa
@ -33,7 +34,9 @@ def upgrade() -> None:
        if "ix_flowstyle_flow_id" in [
            index["name"] for index in inspector.get_indexes("flowstyle")
        ]:
-            op.drop_index("ix_flowstyle_flow_id", table_name="flowstyle")
+            op.drop_index(
+                "ix_flowstyle_flow_id", table_name="flowstyle", if_exists=True
+            )

    existing_indices_flow = []
    existing_fks_flow = []
@ -80,8 +83,7 @@ def upgrade() -> None:
            sa.Column("api_key", sqlmodel.sql.sqltypes.AutoString(), nullable=False),
            sa.Column("user_id", sqlmodel.sql.sqltypes.GUID(), nullable=False),
            sa.ForeignKeyConstraint(
-                ["user_id"],
-                ["user.id"],
+                ["user_id"], ["user.id"], name="fk_apikey_user_id_user"
            ),
            sa.PrimaryKeyConstraint("id", name="pk_apikey"),
            sa.UniqueConstraint("id", name="uq_apikey_id"),
@ -103,8 +105,7 @@ def upgrade() -> None:
            sa.Column("id", sqlmodel.sql.sqltypes.GUID(), nullable=False),
            sa.Column("user_id", sqlmodel.sql.sqltypes.GUID(), nullable=False),
            sa.ForeignKeyConstraint(
-                ["user_id"],
-                ["user.id"],
+                ["user_id"], ["user.id"], name="fk_flow_user_id_user"
            ),
            sa.PrimaryKeyConstraint("id", name="pk_flow"),
            sa.UniqueConstraint("id", name="uq_flow_id"),
@ -151,21 +152,21 @@ def downgrade() -> None:
    existing_tables = inspector.get_table_names()
    if "flow" in existing_tables:
        with op.batch_alter_table("flow", schema=None) as batch_op:
-            batch_op.drop_index(batch_op.f("ix_flow_user_id"))
-            batch_op.drop_index(batch_op.f("ix_flow_name"))
-            batch_op.drop_index(batch_op.f("ix_flow_description"))
+            batch_op.drop_index(batch_op.f("ix_flow_user_id"), if_exists=True)
+            batch_op.drop_index(batch_op.f("ix_flow_name"), if_exists=True)
+            batch_op.drop_index(batch_op.f("ix_flow_description"), if_exists=True)

        op.drop_table("flow")
    if "apikey" in existing_tables:
        with op.batch_alter_table("apikey", schema=None) as batch_op:
-            batch_op.drop_index(batch_op.f("ix_apikey_user_id"))
-            batch_op.drop_index(batch_op.f("ix_apikey_name"))
-            batch_op.drop_index(batch_op.f("ix_apikey_api_key"))
+            batch_op.drop_index(batch_op.f("ix_apikey_user_id"), if_exists=True)
+            batch_op.drop_index(batch_op.f("ix_apikey_name"), if_exists=True)
+            batch_op.drop_index(batch_op.f("ix_apikey_api_key"), if_exists=True)

        op.drop_table("apikey")
    if "user" in existing_tables:
        with op.batch_alter_table("user", schema=None) as batch_op:
-            batch_op.drop_index(batch_op.f("ix_user_username"))
+            batch_op.drop_index(batch_op.f("ix_user_username"), if_exists=True)

        op.drop_table("user")

--- a/src/backend/langflow/alembic/versions/2ac71eb9c3ae_adds_credential_table.py
+++ b/src/backend/langflow/alembic/versions/2ac71eb9c3ae_adds_credential_table.py
@ -5,34 +5,44 @@ Revises: 7d2162acc8b2
 Create Date: 2023-11-24 10:45:38.465302

 """
+
 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 = '2ac71eb9c3ae'
-down_revision: Union[str, None] = '7d2162acc8b2'
+revision: str = "2ac71eb9c3ae"
+down_revision: Union[str, None] = "7d2162acc8b2"
 branch_labels: Union[str, Sequence[str], None] = None
 depends_on: Union[str, Sequence[str], None] = None


 def upgrade() -> None:
    # ### commands auto generated by Alembic - please adjust! ###
+    conn = op.get_bind()
+    inspector = Inspector.from_engine(conn)  # type: ignore
+    tables = inspector.get_table_names()
    try:
-        op.create_table('credential',
-        sa.Column('name', sqlmodel.sql.sqltypes.AutoString(), nullable=True),
-        sa.Column('value', sqlmodel.sql.sqltypes.AutoString(), nullable=True),
-        sa.Column('provider', sqlmodel.sql.sqltypes.AutoString(), nullable=True),
-        sa.Column('user_id', sqlmodel.sql.sqltypes.GUID(), nullable=False),
-        sa.Column('id', sqlmodel.sql.sqltypes.GUID(), nullable=False),
-        sa.Column('created_at', sa.DateTime(), nullable=False),
-        sa.Column('updated_at', sa.DateTime(), nullable=True),
-        sa.PrimaryKeyConstraint('id'),
-        )
+        if "credential" not in tables:
+            op.create_table(
+                "credential",
+                sa.Column("name", sqlmodel.sql.sqltypes.AutoString(), nullable=True),
+                sa.Column("value", sqlmodel.sql.sqltypes.AutoString(), nullable=True),
+                sa.Column(
+                    "provider", sqlmodel.sql.sqltypes.AutoString(), nullable=True
+                ),
+                sa.Column("user_id", sqlmodel.sql.sqltypes.GUID(), nullable=False),
+                sa.Column("id", sqlmodel.sql.sqltypes.GUID(), nullable=False),
+                sa.Column("created_at", sa.DateTime(), nullable=False),
+                sa.Column("updated_at", sa.DateTime(), nullable=True),
+                sa.PrimaryKeyConstraint("id"),
+            )
    except Exception as e:
        print(e)
+
        pass
    # ### end Alembic commands ###

@ -40,7 +50,7 @@ def upgrade() -> None:
 def downgrade() -> None:
    # ### commands auto generated by Alembic - please adjust! ###
    try:
-        op.drop_table('credential')
+        op.drop_table("credential")
    except Exception as e:
        print(e)
        pass
--- a/src/backend/langflow/alembic/versions/67cc006d50bf_add_profile_image_column.py
+++ b/src/backend/langflow/alembic/versions/67cc006d50bf_add_profile_image_column.py
@ -5,6 +5,7 @@ Revises: 260dbcc8b680
 Create Date: 2023-09-08 07:36:13.387318

 """
+
 from typing import Sequence, Union

 import sqlalchemy as sa
@ -21,29 +22,36 @@ depends_on: Union[str, Sequence[str], None] = None

 def upgrade() -> None:
    # ### commands auto generated by Alembic - please adjust! ###
-    conn = op.get_bind()
-    inspector = Inspector.from_engine(conn) # type: ignore
-    if "user" in inspector.get_table_names() and "profile_image" not in [
-        column["name"] for column in inspector.get_columns("user")
-    ]:
-        with op.batch_alter_table("user", schema=None) as batch_op:
-            batch_op.add_column(
-                sa.Column(
-                    "profile_image", sqlmodel.sql.sqltypes.AutoString(), nullable=True
+    try:
+        conn = op.get_bind()
+        inspector = Inspector.from_engine(conn)  # type: ignore
+        if "user" in inspector.get_table_names() and "profile_image" not in [
+            column["name"] for column in inspector.get_columns("user")
+        ]:
+            with op.batch_alter_table("user", schema=None) as batch_op:
+                batch_op.add_column(
+                    sa.Column(
+                        "profile_image",
+                        sqlmodel.sql.sqltypes.AutoString(),
+                        nullable=True,
+                    )
                )
-            )
-
+    except Exception as e:
+        print(e)
    # ### end Alembic commands ###


 def downgrade() -> None:
    # ### commands auto generated by Alembic - please adjust! ###
-    conn = op.get_bind()
-    inspector = Inspector.from_engine(conn) # type: ignore
-    if "user" in inspector.get_table_names() and "profile_image" in [
-        column["name"] for column in inspector.get_columns("user")
-    ]:
-        with op.batch_alter_table("user", schema=None) as batch_op:
-            batch_op.drop_column("profile_image")
+    try:
+        conn = op.get_bind()
+        inspector = Inspector.from_engine(conn)  # type: ignore
+        if "user" in inspector.get_table_names() and "profile_image" in [
+            column["name"] for column in inspector.get_columns("user")
+        ]:
+            with op.batch_alter_table("user", schema=None) as batch_op:
+                batch_op.drop_column("profile_image")
+    except Exception as e:
+        print(e)

    # ### end Alembic commands ###
--- a/src/backend/langflow/alembic/versions/7843803a87b5_store_updates.py
+++ b/src/backend/langflow/alembic/versions/7843803a87b5_store_updates.py
@ -5,12 +5,13 @@ Revises: eb5866d51fd2
 Create Date: 2023-10-18 23:08:57.744906

 """
+
 from typing import Sequence, Union

 import sqlalchemy as sa
 import sqlmodel
 from alembic import op
-from loguru import logger
+from sqlalchemy.engine.reflection import Inspector

 # revision identifiers, used by Alembic.
 revision: str = "7843803a87b5"
@ -21,19 +22,26 @@ depends_on: Union[str, Sequence[str], None] = None

 def upgrade() -> None:
    # ### commands auto generated by Alembic - please adjust! ###
+    conn = op.get_bind()
+    inspector = Inspector.from_engine(conn)  # type: ignore
+    flow_columns = [column["name"] for column in inspector.get_columns("flow")]
+    user_columns = [column["name"] for column in inspector.get_columns("user")]
    try:
-        with op.batch_alter_table("flow", schema=None) as batch_op:
-            batch_op.add_column(sa.Column("is_component", sa.Boolean(), nullable=True))
-
-        with op.batch_alter_table("user", schema=None) as batch_op:
-            batch_op.add_column(
-                sa.Column(
-                    "store_api_key", sqlmodel.AutoString(), nullable=True
+        if "is_component" not in flow_columns:
+            with op.batch_alter_table("flow", schema=None) as batch_op:
+                batch_op.add_column(
+                    sa.Column("is_component", sa.Boolean(), nullable=True)
                )
-            )
    except Exception as e:
-        logger.exception(e)
-
+        pass
+    try:
+        if "store_api_key" not in user_columns:
+            with op.batch_alter_table("user", schema=None) as batch_op:
+                batch_op.add_column(
+                    sa.Column("store_api_key", sqlmodel.AutoString(), nullable=True)
+                )
+    except Exception as e:
+        pass
    # ### end Alembic commands ###


--- a/src/backend/langflow/alembic/versions/7d2162acc8b2_adds_updated_at_and_folder_cols.py
+++ b/src/backend/langflow/alembic/versions/7d2162acc8b2_adds_updated_at_and_folder_cols.py
@ -5,88 +5,74 @@ Revises: f5ee9749d1a6
 Create Date: 2023-11-21 20:56:53.998781

 """
+
 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 = '7d2162acc8b2'
-down_revision: Union[str, None] = 'f5ee9749d1a6'
+revision: str = "7d2162acc8b2"
+down_revision: Union[str, None] = "f5ee9749d1a6"
 branch_labels: Union[str, Sequence[str], None] = None
 depends_on: Union[str, Sequence[str], None] = None


 def upgrade() -> None:
    # ### commands auto generated by Alembic - please adjust! ###
+    conn = op.get_bind()
+    inspector = Inspector.from_engine(conn)  # type: ignore
+    api_key_columns = [column["name"] for column in inspector.get_columns("apikey")]
+    flow_columns = [column["name"] for column in inspector.get_columns("flow")]
+
    try:
-        with op.batch_alter_table('component', schema=None) as batch_op:
-            batch_op.drop_index('ix_component_frontend_node_id')
-            batch_op.drop_index('ix_component_name')
-            op.drop_table('component')
-            op.drop_table('flowstyle')
+        if "name" in api_key_columns:
+            with op.batch_alter_table("apikey", schema=None) as batch_op:
+                batch_op.alter_column(
+                    "name", existing_type=sa.VARCHAR(), nullable=False
+                )
    except Exception as e:
        print(e)
-        pass
-    with op.batch_alter_table('apikey', schema=None) as batch_op:
-        batch_op.alter_column('name',
-               existing_type=sa.VARCHAR(),
-               nullable=False)

-    with op.batch_alter_table('flow', schema=None) as batch_op:
-        batch_op.add_column(sa.Column('updated_at', sa.DateTime(), nullable=True))
-        batch_op.add_column(sa.Column('folder', sqlmodel.sql.sqltypes.AutoString(), nullable=True))
+        pass
+    try:
+        with op.batch_alter_table("flow", schema=None) as batch_op:
+            if "updated_at" not in flow_columns:
+                batch_op.add_column(
+                    sa.Column("updated_at", sa.DateTime(), nullable=True)
+                )
+            if "folder" not in flow_columns:
+                batch_op.add_column(
+                    sa.Column(
+                        "folder", sqlmodel.sql.sqltypes.AutoString(), nullable=True
+                    )
+                )
+    except Exception as e:
+        print(e)
+
+        pass
+
    # ### end Alembic commands ###


 def downgrade() -> None:
    # ### commands auto generated by Alembic - please adjust! ###
    try:
-        with op.batch_alter_table('flow', schema=None) as batch_op:
-            batch_op.drop_column('folder')
-            batch_op.drop_column('updated_at')
+        with op.batch_alter_table("flow", schema=None) as batch_op:
+            batch_op.drop_column("folder")
+            batch_op.drop_column("updated_at")
    except Exception as e:
        print(e)
        pass

    try:

-        with op.batch_alter_table('apikey', schema=None) as batch_op:
-            batch_op.alter_column('name',
-                existing_type=sa.VARCHAR(),
-                nullable=True)
+        with op.batch_alter_table("apikey", schema=None) as batch_op:
+            batch_op.alter_column("name", existing_type=sa.VARCHAR(), nullable=True)
    except Exception as e:
        print(e)
        pass
-    try:
-        op.create_table('flowstyle',
-        sa.Column('color', sa.VARCHAR(), nullable=False),
-        sa.Column('emoji', sa.VARCHAR(), nullable=False),
-        sa.Column('flow_id', sa.CHAR(length=32), nullable=True),
-        sa.Column('id', sa.CHAR(length=32), nullable=False),
-        sa.ForeignKeyConstraint(['flow_id'], ['flow.id'], ),
-        sa.PrimaryKeyConstraint('id'),
-        sa.UniqueConstraint('id')
-        )
-        op.create_table('component',
-        sa.Column('id', sa.CHAR(length=32), nullable=False),
-        sa.Column('frontend_node_id', sa.CHAR(length=32), nullable=False),
-        sa.Column('name', sa.VARCHAR(), nullable=False),
-        sa.Column('description', sa.VARCHAR(), nullable=True),
-        sa.Column('python_code', sa.VARCHAR(), nullable=True),
-        sa.Column('return_type', sa.VARCHAR(), nullable=True),
-        sa.Column('is_disabled', sa.BOOLEAN(), nullable=False),
-        sa.Column('is_read_only', sa.BOOLEAN(), nullable=False),
-        sa.Column('create_at', sa.DATETIME(), nullable=False),
-        sa.Column('update_at', sa.DATETIME(), nullable=False),
-        sa.PrimaryKeyConstraint('id')
-        )

-        with op.batch_alter_table('component', schema=None) as batch_op:
-            batch_op.create_index('ix_component_name', ['name'], unique=False)
-            batch_op.create_index('ix_component_frontend_node_id', ['frontend_node_id'], unique=False)
-    except Exception as e:
-        print(e)
-        pass
    # ### end Alembic commands ###
--- a/src/backend/langflow/alembic/versions/b2fa308044b5_add_unique_constraints.py
+++ b/src/backend/langflow/alembic/versions/b2fa308044b5_add_unique_constraints.py
@ -5,55 +5,105 @@ Revises: 0b8757876a7c
 Create Date: 2024-01-26 13:31:14.797548

 """
+
 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 = 'b2fa308044b5'
-down_revision: Union[str, None] = '0b8757876a7c'
+revision: str = "b2fa308044b5"
+down_revision: Union[str, None] = "0b8757876a7c"
 branch_labels: Union[str, Sequence[str], None] = None
 depends_on: Union[str, Sequence[str], None] = None


 def upgrade() -> None:
+    # ### commands auto generated by Alembic - please adjust! ###
+    conn = op.get_bind()
+    inspector = Inspector.from_engine(conn)  # type: ignore
+    tables = inspector.get_table_names()
    # ### commands auto generated by Alembic - please adjust! ###
    try:
-        op.drop_table('flowstyle')
-        with op.batch_alter_table('flow', schema=None) as batch_op:
-            batch_op.add_column(sa.Column('is_component', sa.Boolean(), nullable=True))
-            batch_op.add_column(sa.Column('updated_at', sa.DateTime(), nullable=True))
-            batch_op.add_column(sa.Column('folder', sqlmodel.sql.sqltypes.AutoString(), nullable=True))
-            batch_op.add_column(sa.Column('user_id', sqlmodel.sql.sqltypes.GUID(), nullable=True))
-            batch_op.create_index(batch_op.f('ix_flow_user_id'), ['user_id'], unique=False)
-            batch_op.create_foreign_key('fk_flow_user_id_user', 'user', ['user_id'], ['id'])
+        if "flowstyle" in tables:
+            op.drop_table("flowstyle")
+        with op.batch_alter_table("flow", schema=None) as batch_op:
+            flow_columns = [column["name"] for column in inspector.get_columns("flow")]
+            if "is_component" not in flow_columns:
+                batch_op.add_column(
+                    sa.Column("is_component", sa.Boolean(), nullable=True)
+                )
+            if "updated_at" not in flow_columns:
+                batch_op.add_column(
+                    sa.Column("updated_at", sa.DateTime(), nullable=True)
+                )
+            if "folder" not in flow_columns:
+                batch_op.add_column(
+                    sa.Column(
+                        "folder", sqlmodel.sql.sqltypes.AutoString(), nullable=True
+                    )
+                )
+            if "user_id" not in flow_columns:
+                batch_op.add_column(
+                    sa.Column("user_id", sqlmodel.sql.sqltypes.GUID(), nullable=True)
+                )
+            indices = inspector.get_indexes("flow")
+            indices_names = [index["name"] for index in indices]
+            if "ix_flow_user_id" not in indices_names:
+                batch_op.create_index(
+                    batch_op.f("ix_flow_user_id"), ["user_id"], unique=False
+                )
+            if "fk_flow_user_id_user" not in indices_names:
+                batch_op.create_foreign_key(
+                    "fk_flow_user_id_user", "user", ["user_id"], ["id"]
+                )
+
    except Exception:
        pass
    # ### end Alembic commands ###


 def downgrade() -> None:
-    # ### commands auto generated by Alembic - please adjust! ###
+    conn = op.get_bind()
+    inspector = Inspector.from_engine(conn)  # type: ignore
    try:
-        with op.batch_alter_table('flow', schema=None) as batch_op:
-            batch_op.drop_constraint('fk_flow_user_id_user', type_='foreignkey')
-            batch_op.drop_index(batch_op.f('ix_flow_user_id'))
-            batch_op.drop_column('user_id')
-            batch_op.drop_column('folder')
-            batch_op.drop_column('updated_at')
-            batch_op.drop_column('is_component')
+        # Re-create the dropped table 'flowstyle' if it was previously dropped in upgrade
+        if "flowstyle" not in inspector.get_table_names():
+            op.create_table(
+                "flowstyle",
+                sa.Column("color", sa.String(), nullable=False),
+                sa.Column("emoji", sa.String(), nullable=False),
+                sa.Column("flow_id", sqlmodel.sql.sqltypes.GUID(), nullable=True),
+                sa.Column("id", sqlmodel.sql.sqltypes.GUID(), nullable=False),
+                sa.ForeignKeyConstraint(["flow_id"], ["flow.id"]),
+                sa.PrimaryKeyConstraint("id"),
+                sa.UniqueConstraint("id"),
+            )

-        op.create_table('flowstyle',
-        sa.Column('color', sa.VARCHAR(), nullable=False),
-        sa.Column('emoji', sa.VARCHAR(), nullable=False),
-        sa.Column('flow_id', sa.CHAR(length=32), nullable=True),
-        sa.Column('id', sa.CHAR(length=32), nullable=False),
-        sa.ForeignKeyConstraint(['flow_id'], ['flow.id'], ),
-        sa.PrimaryKeyConstraint('id'),
-        sa.UniqueConstraint('id')
-        )
-    except Exception:
-        pass
-    # ### end Alembic commands ###
+        with op.batch_alter_table("flow", schema=None) as batch_op:
+            # Check and remove newly added columns and constraints in upgrade
+            flow_columns = [column["name"] for column in inspector.get_columns("flow")]
+            if "user_id" in flow_columns:
+                batch_op.drop_column("user_id")
+            if "folder" in flow_columns:
+                batch_op.drop_column("folder")
+            if "updated_at" in flow_columns:
+                batch_op.drop_column("updated_at")
+            if "is_component" in flow_columns:
+                batch_op.drop_column("is_component")
+
+            indices = inspector.get_indexes("flow")
+            indices_names = [index["name"] for index in indices]
+            if "ix_flow_user_id" in indices_names:
+                batch_op.drop_index("ix_flow_user_id")
+            # Assuming fk_flow_user_id_user is a foreign key constraint's name, not an index
+            constraints = inspector.get_foreign_keys("flow")
+            constraint_names = [constraint["name"] for constraint in constraints]
+            if "fk_flow_user_id_user" in constraint_names:
+                batch_op.drop_constraint("fk_flow_user_id_user", type_="foreignkey")
+
+    except Exception as e:
+        # It's generally a good idea to log the exception or handle it in a way other than a bare pass
+        print(f"Error during downgrade: {e}")
--- a/src/backend/langflow/alembic/versions/bc2f01c40e4a_new_fixes.py
+++ b/src/backend/langflow/alembic/versions/bc2f01c40e4a_new_fixes.py
@ -5,46 +5,68 @@ Revises: b2fa308044b5
 Create Date: 2024-01-26 13:34:14.496769

 """
+
 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 = 'bc2f01c40e4a'
-down_revision: Union[str, None] = 'b2fa308044b5'
+revision: str = "bc2f01c40e4a"
+down_revision: Union[str, None] = "b2fa308044b5"
 branch_labels: Union[str, Sequence[str], None] = None
 depends_on: Union[str, Sequence[str], None] = None


 def upgrade() -> None:
-    # ### commands auto generated by Alembic - please adjust! ###
-    try:
-        with op.batch_alter_table('flow', schema=None) as batch_op:
-            batch_op.add_column(sa.Column('is_component', sa.Boolean(), nullable=True))
-            batch_op.add_column(sa.Column('updated_at', sa.DateTime(), nullable=True))
-            batch_op.add_column(sa.Column('folder', sqlmodel.sql.sqltypes.AutoString(), nullable=True))
-            batch_op.add_column(sa.Column('user_id', sqlmodel.sql.sqltypes.GUID(), nullable=True))
-            batch_op.create_index(batch_op.f('ix_flow_user_id'), ['user_id'], unique=False)
-            batch_op.create_foreign_key('flow_user_id_fkey'
-                                        , 'user', ['user_id'], ['id'])
-    except Exception:
-        pass
-    # ### end Alembic commands ###
+    conn = op.get_bind()
+    inspector = Inspector.from_engine(conn)  # type: ignore
+    flow_columns = {column["name"] for column in inspector.get_columns("flow")}
+    flow_indexes = {index["name"] for index in inspector.get_indexes("flow")}
+    flow_fks = {fk["name"] for fk in inspector.get_foreign_keys("flow")}
+
+    with op.batch_alter_table("flow", schema=None) as batch_op:
+        if "is_component" not in flow_columns:
+            batch_op.add_column(sa.Column("is_component", sa.Boolean(), nullable=True))
+        if "updated_at" not in flow_columns:
+            batch_op.add_column(sa.Column("updated_at", sa.DateTime(), nullable=True))
+        if "folder" not in flow_columns:
+            batch_op.add_column(
+                sa.Column("folder", sqlmodel.sql.sqltypes.AutoString(), nullable=True)
+            )
+        if "user_id" not in flow_columns:
+            batch_op.add_column(
+                sa.Column("user_id", sqlmodel.sql.sqltypes.GUID(), nullable=True)
+            )
+        if "ix_flow_user_id" not in flow_indexes:
+            batch_op.create_index(
+                batch_op.f("ix_flow_user_id"), ["user_id"], unique=False
+            )
+        if "flow_user_id_fkey" not in flow_fks:
+            batch_op.create_foreign_key(
+                "flow_user_id_fkey", "user", ["user_id"], ["id"]
+            )


 def downgrade() -> None:
-    # ### commands auto generated by Alembic - please adjust! ###
-    try:
-        with op.batch_alter_table('flow', schema=None) as batch_op:
-            batch_op.drop_constraint('flow_user_id_fkey', type_='foreignkey')
-            batch_op.drop_index(batch_op.f('ix_flow_user_id'))
-            batch_op.drop_column('user_id')
-            batch_op.drop_column('folder')
-            batch_op.drop_column('updated_at')
-            batch_op.drop_column('is_component')
-    except Exception:
-        pass
+    conn = op.get_bind()
+    inspector = Inspector.from_engine(conn)  # type: ignore
+    flow_columns = {column["name"] for column in inspector.get_columns("flow")}
+    flow_indexes = {index["name"] for index in inspector.get_indexes("flow")}
+    flow_fks = {fk["name"] for fk in inspector.get_foreign_keys("flow")}

-    # ### end Alembic commands ###
+    with op.batch_alter_table("flow", schema=None) as batch_op:
+        if "flow_user_id_fkey" in flow_fks:
+            batch_op.drop_constraint("flow_user_id_fkey", type_="foreignkey")
+        if "ix_flow_user_id" in flow_indexes:
+            batch_op.drop_index(batch_op.f("ix_flow_user_id"))
+        if "user_id" in flow_columns:
+            batch_op.drop_column("user_id")
+        if "folder" in flow_columns:
+            batch_op.drop_column("folder")
+        if "updated_at" in flow_columns:
+            batch_op.drop_column("updated_at")
+        if "is_component" in flow_columns:
+            batch_op.drop_column("is_component")
--- a/src/backend/langflow/alembic/versions/eb5866d51fd2_change_columns_to_be_nullable.py
+++ b/src/backend/langflow/alembic/versions/eb5866d51fd2_change_columns_to_be_nullable.py
@ -5,11 +5,10 @@ Revises: 67cc006d50bf
 Create Date: 2023-10-04 10:18:25.640458

 """
+
 from typing import Sequence, Union

-import sqlalchemy as sa
 from alembic import op
-from sqlalchemy import exc

 # revision identifiers, used by Alembic.
 revision: str = "eb5866d51fd2"
@ -21,70 +20,12 @@ depends_on: Union[str, Sequence[str], None] = None
 def upgrade() -> None:
    # ### commands auto generated by Alembic - please adjust! ###
    connection = op.get_bind()
-    try:
-        op.drop_table("flowstyle")
-        with op.batch_alter_table("component", schema=None) as batch_op:
-            batch_op.drop_index("ix_component_frontend_node_id")
-            batch_op.drop_index("ix_component_name")
-    except exc.SQLAlchemyError:
-        # connection.execute(text("ROLLBACK"))
-        pass
-    except Exception as e:
-        print(e)
-        pass

-    try:
-        op.drop_table("component")
-    except exc.SQLAlchemyError:
-        # connection.execute(text("ROLLBACK"))
-        pass
-    except Exception as e:
-        print(e)
-        pass
+    pass
    # ### end Alembic commands ###


 def downgrade() -> None:
    # ### commands auto generated by Alembic - please adjust! ###
-    try:
-        op.create_table(
-            "component",
-            sa.Column("id", sa.CHAR(length=32), nullable=False),
-            sa.Column("frontend_node_id", sa.CHAR(length=32), nullable=False),
-            sa.Column("name", sa.VARCHAR(), nullable=False),
-            sa.Column("description", sa.VARCHAR(), nullable=True),
-            sa.Column("python_code", sa.VARCHAR(), nullable=True),
-            sa.Column("return_type", sa.VARCHAR(), nullable=True),
-            sa.Column("is_disabled", sa.BOOLEAN(), nullable=False),
-            sa.Column("is_read_only", sa.BOOLEAN(), nullable=False),
-            sa.Column("create_at", sa.DATETIME(), nullable=False),
-            sa.Column("update_at", sa.DATETIME(), nullable=False),
-            sa.PrimaryKeyConstraint("id", name="pk_component"),
-        )
-        with op.batch_alter_table("component", schema=None) as batch_op:
-            batch_op.create_index("ix_component_name", ["name"], unique=False)
-            batch_op.create_index(
-                "ix_component_frontend_node_id", ["frontend_node_id"], unique=False
-            )
-    except Exception as e:
-        print(e)
-        pass
-
-    try:
-        op.create_table(
-            "flowstyle",
-            sa.Column("color", sa.VARCHAR(), nullable=False),
-            sa.Column("emoji", sa.VARCHAR(), nullable=False),
-            sa.Column("flow_id", sa.CHAR(length=32), nullable=True),
-            sa.Column("id", sa.CHAR(length=32), nullable=False),
-            sa.ForeignKeyConstraint(
-                ["flow_id"],
-                ["flow.id"],
-            ),
-            sa.PrimaryKeyConstraint("id", name="pk_flowstyle"),
-            sa.UniqueConstraint("id", name="uq_flowstyle_id"),
-        )
-    except Exception as e:
-        print(e)
-        pass
+    pass
    # ### end Alembic commands ###
--- a/src/backend/langflow/alembic/versions/f5ee9749d1a6_user_id_can_be_null_in_flow.py
+++ b/src/backend/langflow/alembic/versions/f5ee9749d1a6_user_id_can_be_null_in_flow.py
@ -5,6 +5,7 @@ Revises: 7843803a87b5
 Create Date: 2023-10-18 23:12:27.297016

 """
+
 from typing import Sequence, Union

 import sqlalchemy as sa
--- a/src/backend/langflow/alembic/versions/fd531f8868b1_fix_credential_table.py
+++ b/src/backend/langflow/alembic/versions/fd531f8868b1_fix_credential_table.py
@ -5,22 +5,35 @@ Revises: 2ac71eb9c3ae
 Create Date: 2023-11-24 15:07:37.566516

 """
-from typing import Sequence, Union
+
+from typing import Optional, Sequence, Union

 from alembic import op
+from sqlalchemy.engine.reflection import Inspector

 # revision identifiers, used by Alembic.
-revision: str = 'fd531f8868b1'
-down_revision: Union[str, None] = '2ac71eb9c3ae'
+revision: str = "fd531f8868b1"
+down_revision: Union[str, None] = "2ac71eb9c3ae"
 branch_labels: Union[str, Sequence[str], None] = None
 depends_on: Union[str, Sequence[str], None] = None


 def upgrade() -> None:
    # ### commands auto generated by Alembic - please adjust! ###
+    conn = op.get_bind()
+    inspector = Inspector.from_engine(conn)  # type: ignore
+    tables = inspector.get_table_names()
+    foreign_keys_names = []
+    if "credential" in tables:
+        foreign_keys = inspector.get_foreign_keys("credential")
+        foreign_keys_names = [fk["name"] for fk in foreign_keys]
+
    try:
-        with op.batch_alter_table('credential', schema=None) as batch_op:
-            batch_op.create_foreign_key("fk_credential_user_id", 'user', ['user_id'], ['id'])
+        if "credential" in tables and "fk_credential_user_id" not in foreign_keys_names:
+            with op.batch_alter_table("credential", schema=None) as batch_op:
+                batch_op.create_foreign_key(
+                    "fk_credential_user_id", "user", ["user_id"], ["id"]
+                )
    except Exception as e:
        print(e)
        pass
@ -30,9 +43,17 @@ def upgrade() -> None:

 def downgrade() -> None:
    # ### commands auto generated by Alembic - please adjust! ###
+    conn = op.get_bind()
+    inspector = Inspector.from_engine(conn)  # type: ignore
+    tables = inspector.get_table_names()
+    foreign_keys_names: list[Optional[str]] = []
+    if "credential" in tables:
+        foreign_keys = inspector.get_foreign_keys("credential")
+        foreign_keys_names = [fk["name"] for fk in foreign_keys]
    try:
-        with op.batch_alter_table('credential', schema=None) as batch_op:
-            batch_op.drop_constraint("fk_credential_user_id", type_='foreignkey')
+        if "credential" in tables and "fk_credential_user_id" in foreign_keys_names:
+            with op.batch_alter_table("credential", schema=None) as batch_op:
+                batch_op.drop_constraint("fk_credential_user_id", type_="foreignkey")
    except Exception as e:
        print(e)
        pass
--- a/src/backend/langflow/api/v1/callback.py
+++ b/src/backend/langflow/api/v1/callback.py
@ -17,6 +17,11 @@ if TYPE_CHECKING:
 class AsyncStreamingLLMCallbackHandleSIO(AsyncCallbackHandler):
    """Callback handler for streaming LLM responses."""

+    @property
+    def ignore_chain(self) -> bool:
+        """Whether to ignore chain callbacks."""
+        return False
+
    def __init__(self, session_id: str):
        self.chat_service = get_chat_service()
        self.client_id = session_id
@ -28,7 +33,9 @@ class AsyncStreamingLLMCallbackHandleSIO(AsyncCallbackHandler):
        resp = ChatResponse(message=token, type="stream", intermediate_steps="")
        await self.socketio_service.emit_token(to=self.sid, data=resp.model_dump())

-    async def on_tool_start(self, serialized: Dict[str, Any], input_str: str, **kwargs: Any) -> Any:
+    async def on_tool_start(
+        self, serialized: Dict[str, Any], input_str: str, **kwargs: Any
+    ) -> Any:
        """Run when tool starts running."""
        resp = ChatResponse(
            message="",
@ -66,7 +73,9 @@ class AsyncStreamingLLMCallbackHandleSIO(AsyncCallbackHandler):
        try:
            # This is to emulate the stream of tokens
            for resp in resps:
-                await self.socketio_service.emit_token(to=self.sid, data=resp.model_dump())
+                await self.socketio_service.emit_token(
+                    to=self.sid, data=resp.model_dump()
+                )
        except Exception as exc:
            logger.error(f"Error sending response: {exc}")

@ -92,7 +101,9 @@ class AsyncStreamingLLMCallbackHandleSIO(AsyncCallbackHandler):
            resp = PromptResponse(
                prompt=text,
            )
-            await self.socketio_service.emit_message(to=self.sid, data=resp.model_dump())
+            await self.socketio_service.emit_message(
+                to=self.sid, data=resp.model_dump()
+            )

    async def on_agent_action(self, action: AgentAction, **kwargs: Any):
        log = f"Thought: {action.log}"
@ -102,7 +113,9 @@ class AsyncStreamingLLMCallbackHandleSIO(AsyncCallbackHandler):
            logs = log.split("\n")
            for log in logs:
                resp = ChatResponse(message="", type="stream", intermediate_steps=log)
-                await self.socketio_service.emit_token(to=self.sid, data=resp.model_dump())
+                await self.socketio_service.emit_token(
+                    to=self.sid, data=resp.model_dump()
+                )
        else:
            resp = ChatResponse(message="", type="stream", intermediate_steps=log)
            await self.socketio_service.emit_token(to=self.sid, data=resp.model_dump())
--- a/src/backend/langflow/components/embeddings/AzureOpenAIEmbeddings.py
+++ b/src/backend/langflow/components/embeddings/AzureOpenAIEmbeddings.py
@ -9,6 +9,7 @@ class AzureOpenAIEmbeddingsComponent(CustomComponent):
    description: str = "Embeddings model from Azure OpenAI."
    documentation: str = "https://python.langchain.com/docs/integrations/text_embedding/azureopenai"
    beta = False
+    icon = "Azure"

    API_VERSION_OPTIONS = [
        "2022-12-01",
--- a/src/backend/langflow/components/io/StoreMessages.py
+++ b/src/backend/langflow/components/io/StoreMessages.py
@ -1,73 +0,0 @@
-from typing import List, Optional
-
-from langflow import CustomComponent
-from langflow.field_typing import Text
-from langflow.memory import add_messages
-from langflow.schema import Record
-
-
-class StoreMessages(CustomComponent):
-    display_name = "Store Messages"
-    description = "Used to store messages."
-
-    def build_config(self):
-        return {
-            "records": {
-                "display_name": "Records",
-                "info": "The list of records to store. Each record should contain the keys 'sender', 'sender_name', and 'session_id'.",
-            },
-            "texts": {
-                "display_name": "Texts",
-                "info": "The list of texts to store. If records is not provided, texts must be provided.",
-            },
-            "session_id": {
-                "display_name": "Session ID",
-                "info": "The session ID to store.",
-            },
-            "sender": {
-                "display_name": "Sender",
-                "info": "The sender to store.",
-            },
-            "sender_name": {
-                "display_name": "Sender Name",
-                "info": "The sender name to store.",
-            },
-        }
-
-    def build(
-        self,
-        records: Optional[List[Record]] = None,
-        texts: Optional[List[Text]] = None,
-        session_id: Optional[str] = None,
-        sender: Optional[str] = None,
-        sender_name: Optional[str] = None,
-    ) -> List[Record]:
-        # Records is the main way to store messages
-        # If records is not provided, we can use texts
-        # but we need to create the records from the texts
-        # and the other parameters
-        if not texts and not records:
-            raise ValueError("Either texts or records must be provided.")
-        if not texts:
-            texts = []
-
-        if not records:
-            records = []
-            if not session_id or not sender or not sender_name:
-                raise ValueError("If passing texts, session_id, sender, and sender_name must be provided.")
-            for text in texts:
-                record = Record(
-                    text=text,
-                    data={
-                        "session_id": session_id,
-                        "sender": sender,
-                        "sender_name": sender_name,
-                    },
-                )
-                records.append(record)
-        elif isinstance(records, Record):
-            records = [records]
-
-        self.status = records
-        records = add_messages(records)
-        return records or []
--- a/src/backend/langflow/components/memories/MessageHistory.py
+++ b/src/backend/langflow/components/memories/MessageHistory.py
@ -16,10 +16,6 @@ class MessageHistoryComponent(CustomComponent):
                "display_name": "Sender Type",
            },
            "sender_name": {"display_name": "Sender Name"},
-            "file_path": {
-                "display_name": "File Path",
-                "info": "Path of the local JSON file to store the messages. It should be a unique path for each chat history.",
-            },
            "n_messages": {
                "display_name": "Number of Messages",
                "info": "Number of messages to retrieve.",
--- a/src/backend/langflow/components/memories/init.py
+++ b/src/backend/langflow/components/memories/init.py
--- a/src/backend/langflow/components/model_specs/AzureChatOpenAISpecs.py
+++ b/src/backend/langflow/components/model_specs/AzureChatOpenAISpecs.py
@ -11,6 +11,7 @@ class AzureChatOpenAISpecsComponent(CustomComponent):
    description: str = "LLM model from Azure OpenAI."
    documentation: str = "https://python.langchain.com/docs/integrations/llms/azure_openai"
    beta = False
+    icon = "Azure"

    AZURE_OPENAI_MODELS = [
        "gpt-35-turbo",
--- a/src/backend/langflow/components/tools/SearchApi.py
+++ b/src/backend/langflow/components/tools/SearchApi.py
@ -0,0 +1,51 @@
+from langflow import CustomComponent
+from langchain.schema import Document
+from langflow.services.database.models.base import orjson_dumps
+from langchain_community.utilities.searchapi import SearchApiAPIWrapper
+from typing import Optional
+
+
+class SearchApi(CustomComponent):
+    display_name: str = "SearchApi"
+    description: str = "Real-time search engine results API."
+    output_types: list[str] = ["Document"]
+    documentation: str = "https://www.searchapi.io/docs/google"
+    field_config = {
+        "engine": {
+            "display_name": "Engine",
+            "field_type": "str",
+            "info": "The search engine to use.",
+        },
+        "params": {
+            "display_name": "Parameters",
+            "info": "The parameters to send with the request.",
+        },
+        "code": {"show": False},
+        "api_key": {
+            "display_name": "API Key",
+            "field_type": "str",
+            "required": True,
+            "password": True,
+            "info": "The API key to use SearchApi.",
+        },
+    }
+
+    def build(
+        self,
+        engine: str,
+        api_key: str,
+        params: Optional[dict] = None,
+    ) -> Document:
+        if params is None:
+            params = {}
+
+        search_api_wrapper = SearchApiAPIWrapper(engine=engine, searchapi_api_key=api_key)
+
+        q = params.pop("q", "SearchApi Langflow")
+        results = search_api_wrapper.results(q, **params)
+
+        result = orjson_dumps(results, indent_2=False)
+
+        document = Document(page_content=result)
+
+        return document
--- a/src/backend/langflow/graph/graph/base.py
+++ b/src/backend/langflow/graph/graph/base.py
@ -631,7 +631,7 @@ class Graph:
        vertices: List[Vertex],
    ) -> List[List[str]]:
        """Performs a layered topological sort of the vertices in the graph."""
-
+        vertices_ids = {vertex.id for vertex in vertices}
        # Queue for vertices with no incoming edges
        queue = deque(
            vertex.id for vertex in vertices if self.in_degree_map[vertex.id] == 0
@ -646,6 +646,13 @@ class Graph:
                vertex_id = queue.popleft()
                layers[current_layer].append(vertex_id)
                for neighbor in self.successor_map[vertex_id]:
+                    # only vertices in `vertices_ids` should be considered
+                    # because vertices by have been filtered out
+                    # in a previous step. All dependencies of theirs
+                    # will be built automatically if required
+                    if neighbor not in vertices_ids:
+                        continue
+
                    self.in_degree_map[neighbor] -= 1  # 'remove' edge
                    if self.in_degree_map[neighbor] == 0:
                        queue.append(neighbor)
--- a/src/backend/langflow/interface/custom/utils.py
+++ b/src/backend/langflow/interface/custom/utils.py
@ -27,18 +27,24 @@ from langflow.utils import validate
 from langflow.utils.util import get_base_classes


-def add_output_types(frontend_node: CustomComponentFrontendNode, return_types: List[str]):
+def add_output_types(
+    frontend_node: CustomComponentFrontendNode, return_types: List[str]
+):
    """Add output types to the frontend node"""
    for return_type in return_types:
        if return_type is None:
            raise HTTPException(
                status_code=400,
                detail={
-                    "error": ("Invalid return type. Please check your code and try again."),
+                    "error": (
+                        "Invalid return type. Please check your code and try again."
+                    ),
                    "traceback": traceback.format_exc(),
                },
            )
-        if hasattr(return_type, "__name__"):
+        if return_type == str:
+            return_type = "Text"
+        elif hasattr(return_type, "__name__"):
            return_type = return_type.__name__
        elif hasattr(return_type, "__class__"):
            return_type = return_type.__class__.__name__
@ -63,14 +69,18 @@ def reorder_fields(frontend_node: CustomComponentFrontendNode, field_order: List
    frontend_node.template.fields = reordered_fields


-def add_base_classes(frontend_node: CustomComponentFrontendNode, return_types: List[str]):
+def add_base_classes(
+    frontend_node: CustomComponentFrontendNode, return_types: List[str]
+):
    """Add base classes to the frontend node"""
    for return_type_instance in return_types:
        if return_type_instance is None:
            raise HTTPException(
                status_code=400,
                detail={
-                    "error": ("Invalid return type. Please check your code and try again."),
+                    "error": (
+                        "Invalid return type. Please check your code and try again."
+                    ),
                    "traceback": traceback.format_exc(),
                },
            )
@ -145,10 +155,14 @@ def add_new_custom_field(
    # 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)
-    field_config["is_list"] = is_list or field_config.get("is_list", False) or field_contains_list
+    field_config["is_list"] = (
+        is_list or field_config.get("is_list", False) or field_contains_list
+    )

    if "name" in field_config:
-        warnings.warn("The 'name' key in field_config is used to build the object and can't be changed.")
+        warnings.warn(
+            "The 'name' key in field_config is used to build the object and can't be changed."
+        )
    required = field_config.pop("required", field_required)
    placeholder = field_config.pop("placeholder", "")

@ -179,7 +193,9 @@ def add_extra_fields(frontend_node, field_config, function_args):
        if "name" not in extra_field or extra_field["name"] == "self":
            continue

-        field_name, field_type, field_value, field_required = get_field_properties(extra_field)
+        field_name, field_type, field_value, field_required = get_field_properties(
+            extra_field
+        )
        config = field_config.get(field_name, {})
        frontend_node = add_new_custom_field(
            frontend_node,
@ -217,7 +233,9 @@ def run_build_config(
        raise HTTPException(
            status_code=400,
            detail={
-                "error": ("Invalid type convertion. Please check your code and try again."),
+                "error": (
+                    "Invalid type convertion. Please check your code and try again."
+                ),
                "traceback": traceback.format_exc(),
            },
        ) from exc
@ -245,7 +263,9 @@ def run_build_config(
        raise HTTPException(
            status_code=400,
            detail={
-                "error": ("Invalid type convertion. Please check your code and try again."),
+                "error": (
+                    "Invalid type convertion. Please check your code and try again."
+                ),
                "traceback": traceback.format_exc(),
            },
        ) from exc
@ -298,16 +318,24 @@ def build_custom_component_template(
    try:
        frontend_node = build_frontend_node(custom_component.template_config)

-        field_config, custom_instance = run_build_config(custom_component, user_id=user_id, update_field=update_field)
+        field_config, custom_instance = run_build_config(
+            custom_component, user_id=user_id, update_field=update_field
+        )

        entrypoint_args = custom_component.get_function_entrypoint_args

        add_extra_fields(frontend_node, field_config, entrypoint_args)

-        frontend_node = add_code_field(frontend_node, custom_component.code, field_config.get("code", {}))
+        frontend_node = add_code_field(
+            frontend_node, custom_component.code, field_config.get("code", {})
+        )

-        add_base_classes(frontend_node, custom_component.get_function_entrypoint_return_type)
-        add_output_types(frontend_node, custom_component.get_function_entrypoint_return_type)
+        add_base_classes(
+            frontend_node, custom_component.get_function_entrypoint_return_type
+        )
+        add_output_types(
+            frontend_node, custom_component.get_function_entrypoint_return_type
+        )

        reorder_fields(frontend_node, custom_instance._get_field_order())

@ -318,7 +346,9 @@ def build_custom_component_template(
        raise HTTPException(
            status_code=400,
            detail={
-                "error": ("Invalid type convertion. Please check your code and try again."),
+                "error": (
+                    "Invalid type convertion. Please check your code and try again."
+                ),
                "traceback": traceback.format_exc(),
            },
        ) from exc
@ -342,7 +372,9 @@ def build_custom_components(settings_service):
    if not settings_service.settings.COMPONENTS_PATH:
        return {}

-    logger.info(f"Building custom components from {settings_service.settings.COMPONENTS_PATH}")
+    logger.info(
+        f"Building custom components from {settings_service.settings.COMPONENTS_PATH}"
+    )
    custom_components_from_file = {}
    processed_paths = set()
    for path in settings_service.settings.COMPONENTS_PATH:
@ -353,7 +385,9 @@ def build_custom_components(settings_service):
        custom_component_dict = build_custom_component_list_from_path(path_str)
        if custom_component_dict:
            category = next(iter(custom_component_dict))
-            logger.info(f"Loading {len(custom_component_dict[category])} component(s) from category {category}")
+            logger.info(
+                f"Loading {len(custom_component_dict[category])} component(s) from category {category}"
+            )
            custom_components_from_file = merge_nested_dicts_with_renaming(
                custom_components_from_file, custom_component_dict
            )
--- a/src/backend/langflow/services/chat/utils.py
+++ b/src/backend/langflow/services/chat/utils.py
@ -3,11 +3,10 @@ from typing import Any
 from langchain.agents import AgentExecutor
 from langchain.chains.base import Chain
 from langchain_core.runnables import Runnable
-from loguru import logger
-
 from langflow.api.v1.schemas import ChatMessage
 from langflow.interface.utils import try_setting_streaming_options
 from langflow.processing.base import get_result_and_steps
+from loguru import logger

 LANGCHAIN_RUNNABLES = (Chain, Runnable, AgentExecutor)

@ -23,7 +22,9 @@ async def process_graph(

    if build_result is None:
        # Raise user facing error
-        raise ValueError("There was an error loading the langchain_object. Please, check all the nodes and try again.")
+        raise ValueError(
+            "There was an error loading the langchain_object. Please, check all the nodes and try again."
+        )

    # Generate result and thought
    try:
@ -39,7 +40,6 @@ async def process_graph(
                client_id=client_id,
                session_id=session_id,
            )
-
        else:
            raise TypeError(f"Unknown type {type(build_result)}")
        logger.debug("Generated result and intermediate_steps")
@ -50,5 +50,7 @@ async def process_graph(
        raise e


-async def run_build_result(build_result: Any, chat_inputs: ChatMessage, client_id: str, session_id: str):
+async def run_build_result(
+    build_result: Any, chat_inputs: ChatMessage, client_id: str, session_id: str
+):
    return build_result(inputs=chat_inputs.message)
--- a/src/backend/langflow/services/database/service.py
+++ b/src/backend/langflow/services/database/service.py
@ -111,13 +111,11 @@ class DatabaseService(Service):

        return True

-    def init_alembic(self):
+    def init_alembic(self, alembic_cfg):
        logger.info("Initializing alembic")
-        alembic_cfg = Config()
-        alembic_cfg.set_main_option("script_location", str(self.script_location))
-        alembic_cfg.set_main_option("sqlalchemy.url", self.database_url)
-        command.stamp(alembic_cfg, "head")
-        # command.upgrade(alembic_cfg, "head")
+        command.ensure_version(alembic_cfg)
+        # alembic_cfg.attributes["connection"].commit()
+        command.upgrade(alembic_cfg, "head")
        logger.info("Alembic initialized")

    def run_migrations(self, fix=False):
@ -126,6 +124,11 @@ class DatabaseService(Service):
        # if not self.script_location.exists(): # this is not the correct way to check if alembic has been initialized
        # We need to check if the alembic_version table exists
        # if not, we need to initialize alembic
+        alembic_cfg = Config()
+        # alembic_cfg.attributes["connection"] = session
+        alembic_cfg.set_main_option("script_location", str(self.script_location))
+        alembic_cfg.set_main_option("sqlalchemy.url", self.database_url)
+        should_initialize_alembic = False
        with Session(self.engine) as session:
            # If the table does not exist it throws an error
            # so we need to catch it
@ -133,18 +136,19 @@ class DatabaseService(Service):
                session.exec(text("SELECT * FROM alembic_version"))
            except Exception:
                logger.info("Alembic not initialized")
-                try:
-                    self.init_alembic()
-                except Exception as exc:
-                    logger.error(f"Error initializing alembic: {exc}")
-                    raise RuntimeError("Error initializing alembic") from exc
+                should_initialize_alembic = True
+
            else:
                logger.info("Alembic already initialized")
+        if should_initialize_alembic:
+            try:
+                self.init_alembic(alembic_cfg)
+            except Exception as exc:
+                logger.error(f"Error initializing alembic: {exc}")
+                raise RuntimeError("Error initializing alembic") from exc

        logger.info(f"Running DB migrations in {self.script_location}")
-        alembic_cfg = Config()
-        alembic_cfg.set_main_option("script_location", str(self.script_location))
-        alembic_cfg.set_main_option("sqlalchemy.url", self.database_url)
+
        try:
            command.check(alembic_cfg)
        except Exception as exc:
@ -155,7 +159,7 @@ class DatabaseService(Service):
        try:
            command.check(alembic_cfg)
        except util.exc.AutogenerateDiffsDetected as e:
-            logger.exception("AutogenerateDiffsDetected: {exc}")
+            logger.error("AutogenerateDiffsDetected: {exc}")
            if not fix:
                raise RuntimeError(
                    "Something went wrong running migrations. Please, run `langflow migration --fix`"
--- a/src/backend/langflow/services/utils.py
+++ b/src/backend/langflow/services/utils.py
@ -5,7 +5,10 @@ from langflow.services.auth.utils import create_super_user, verify_password
 from langflow.services.database.utils import initialize_database
 from langflow.services.manager import service_manager
 from langflow.services.schema import ServiceType
-from langflow.services.settings.constants import DEFAULT_SUPERUSER, DEFAULT_SUPERUSER_PASSWORD
+from langflow.services.settings.constants import (
+    DEFAULT_SUPERUSER,
+    DEFAULT_SUPERUSER_PASSWORD,
+)
 from langflow.services.socket.utils import set_socketio_server

 from .deps import get_db_service, get_session, get_settings_service
@ -19,7 +22,9 @@ def get_factories_and_deps():
    from langflow.services.database import factory as database_factory
    from langflow.services.monitor import factory as monitor_factory
    from langflow.services.plugins import factory as plugins_factory
-    from langflow.services.session import factory as session_service_factory  # type: ignore
+    from langflow.services.session import (
+        factory as session_service_factory,
+    )  # type: ignore
    from langflow.services.settings import factory as settings_factory
    from langflow.services.socket import factory as socket_factory
    from langflow.services.storage import factory as storage_factory
@ -48,8 +53,14 @@ def get_factories_and_deps():
        ),
        (plugins_factory.PluginServiceFactory(), [ServiceType.SETTINGS_SERVICE]),
        (store_factory.StoreServiceFactory(), [ServiceType.SETTINGS_SERVICE]),
-        (credentials_factory.CredentialServiceFactory(), [ServiceType.SETTINGS_SERVICE]),
-        (storage_factory.StorageServiceFactory(), [ServiceType.SESSION_SERVICE, ServiceType.SETTINGS_SERVICE]),
+        (
+            credentials_factory.CredentialServiceFactory(),
+            [ServiceType.SETTINGS_SERVICE],
+        ),
+        (
+            storage_factory.StorageServiceFactory(),
+            [ServiceType.SESSION_SERVICE, ServiceType.SETTINGS_SERVICE],
+        ),
        (monitor_factory.MonitorServiceFactory(), [ServiceType.SETTINGS_SERVICE]),
        (socket_factory.SocketIOFactory(), [ServiceType.CACHE_SERVICE]),
    ]
@ -81,12 +92,16 @@ def get_or_create_super_user(session: Session, username, password, is_default):
                )
                return None
        else:
-            logger.debug("User with superuser credentials exists but is not a superuser.")
+            logger.debug(
+                "User with superuser credentials exists but is not a superuser."
+            )
            return None

    if user:
        if verify_password(password, user.password):
-            raise ValueError("User with superuser credentials exists but is not a superuser.")
+            raise ValueError(
+                "User with superuser credentials exists but is not a superuser."
+            )
        else:
            raise ValueError("Incorrect superuser credentials")

@ -115,15 +130,21 @@ def setup_superuser(settings_service, session: Session):
    username = settings_service.auth_settings.SUPERUSER
    password = settings_service.auth_settings.SUPERUSER_PASSWORD

-    is_default = (username == DEFAULT_SUPERUSER) and (password == DEFAULT_SUPERUSER_PASSWORD)
+    is_default = (username == DEFAULT_SUPERUSER) and (
+        password == DEFAULT_SUPERUSER_PASSWORD
+    )

    try:
-        user = get_or_create_super_user(session=session, username=username, password=password, is_default=is_default)
+        user = get_or_create_super_user(
+            session=session, username=username, password=password, is_default=is_default
+        )
        if user is not None:
            logger.debug("Superuser created successfully.")
    except Exception as exc:
        logger.exception(exc)
-        raise RuntimeError("Could not create superuser. Please create a superuser manually.") from exc
+        raise RuntimeError(
+            "Could not create superuser. Please create a superuser manually."
+        ) from exc
    finally:
        settings_service.auth_settings.reset_credentials()

@ -137,7 +158,9 @@ def teardown_superuser(settings_service, session):

    if not settings_service.auth_settings.AUTO_LOGIN:
        try:
-            logger.debug("AUTO_LOGIN is set to False. Removing default superuser if exists.")
+            logger.debug(
+                "AUTO_LOGIN is set to False. Removing default superuser if exists."
+            )
            username = DEFAULT_SUPERUSER
            from langflow.services.database.models.user.model import User

@ -181,11 +204,15 @@ def initialize_session_service():
    Initialize the session manager.
    """
    from langflow.services.cache import factory as cache_factory
-    from langflow.services.session import factory as session_service_factory  # type: ignore
+    from langflow.services.session import (
+        factory as session_service_factory,
+    )  # type: ignore

    initialize_settings_service()

-    service_manager.register_factory(cache_factory.CacheServiceFactory(), dependencies=[ServiceType.SETTINGS_SERVICE])
+    service_manager.register_factory(
+        cache_factory.CacheServiceFactory(), dependencies=[ServiceType.SETTINGS_SERVICE]
+    )

    service_manager.register_factory(
        session_service_factory.SessionServiceFactory(),
@ -202,7 +229,9 @@ def initialize_services(fix_migration: bool = False, socketio_server=None):
            service_manager.register_factory(factory, dependencies=dependencies)
        except Exception as exc:
            logger.exception(exc)
-            raise RuntimeError("Could not initialize services. Please check your settings.") from exc
+            raise RuntimeError(
+                "Could not initialize services. Please check your settings."
+            ) from exc

    # Test cache connection
    service_manager.get(ServiceType.CACHE_SERVICE)
@ -210,9 +239,11 @@ def initialize_services(fix_migration: bool = False, socketio_server=None):
    try:
        initialize_database(fix_migration=fix_migration)
    except Exception as exc:
-        logger.exception(exc)
+        logger.error(exc)
        raise exc
-    setup_superuser(service_manager.get(ServiceType.SETTINGS_SERVICE), next(get_session()))
+    setup_superuser(
+        service_manager.get(ServiceType.SETTINGS_SERVICE), next(get_session())
+    )
    try:
        get_db_service().migrate_flows_if_auto_login()
    except Exception as exc:
--- a/src/frontend/src/CustomNodes/GenericNode/components/parameterComponent/index.tsx
+++ b/src/frontend/src/CustomNodes/GenericNode/components/parameterComponent/index.tsx
@ -332,7 +332,7 @@ export default function ParameterComponent({
                <div>
                  <IconComponent
                    name="Info"
-                    className="relative bottom-0.5 ml-2 h-3 w-4"
+                    className="relative bottom-px ml-1.5 h-3 w-4"
                  />
                </div>
              </ShadTooltip>
--- a/src/frontend/src/CustomNodes/GenericNode/index.tsx
+++ b/src/frontend/src/CustomNodes/GenericNode/index.tsx
@ -128,7 +128,7 @@ export default function GenericNode({

  const showNode = data.showNode ?? true;

-  const nameEditable = data.node?.flow || data.type === "CustomComponent";
+  const nameEditable = true;

  const emojiRegex = /\p{Emoji}/u;
  const isEmoji = emojiRegex.test(data?.node?.icon!);
@ -332,8 +332,8 @@ export default function GenericNode({
                      />
                    </div>
                  ) : (
-                    <ShadTooltip content={data.node?.display_name}>
-                      <div className="group flex items-center gap-2.5">
+                    <div className="group flex items-center gap-2.5">
+                      <ShadTooltip content={data.id}>
                        <div
                          onDoubleClick={(event) => {
                            if (nameEditable) {
@ -348,24 +348,23 @@ export default function GenericNode({
                        >
                          {data.node?.display_name}
                        </div>
-
-                        {nameEditable && (
-                          <div
-                            onClick={(event) => {
-                              setInputName(true);
-                              takeSnapshot();
-                              event.stopPropagation();
-                              event.preventDefault();
-                            }}
-                          >
-                            <IconComponent
-                              name="Pencil"
-                              className="hidden h-4 w-4 animate-pulse text-status-blue group-hover:block"
-                            />
-                          </div>
-                        )}
-                      </div>
-                    </ShadTooltip>
+                      </ShadTooltip>
+                      {nameEditable && (
+                        <div
+                          onClick={(event) => {
+                            setInputName(true);
+                            takeSnapshot();
+                            event.stopPropagation();
+                            event.preventDefault();
+                          }}
+                        >
+                          <IconComponent
+                            name="Pencil"
+                            className="hidden h-4 w-4 animate-pulse text-status-blue group-hover:block"
+                          />
+                        </div>
+                      )}
+                    </div>
                  )}
                </div>
              )}
--- a/src/frontend/src/components/CrashErrorComponent/index.tsx
+++ b/src/frontend/src/components/CrashErrorComponent/index.tsx
@ -1,36 +1,63 @@
+import { XCircle } from "lucide-react";
 import { crashComponentPropsType } from "../../types/components";
+import { Button } from "../ui/button";
+import { Card, CardContent, CardFooter, CardHeader } from "../ui/card";

 export default function CrashErrorComponent({
  error,
  resetErrorBoundary,
 }: crashComponentPropsType): JSX.Element {
  return (
-    <div className="fixed left-0 top-0 z-50 flex h-full w-full items-center justify-center bg-foreground bg-opacity-50">
-      <div className="flex h-1/3 min-h-fit max-w-4xl flex-col justify-evenly rounded-lg bg-background p-8 text-start shadow-lg">
-        <h1 className="mb-4 text-3xl text-status-red">
-          Oops! An unknown error has occurred.
-        </h1>
-        <p className="mb-4 text-xl text-foreground">
-          Please click the 'Reset Application' button to restore the
-          application's state. If the error persists, please create an issue on
-          our GitHub page. We apologize for any inconvenience this may have
-          caused.
-        </p>
-        <div className="flex justify-center">
-          <button
-            onClick={resetErrorBoundary}
-            className="mr-4 rounded bg-primary px-4 py-2 font-bold text-background hover:bg-ring"
-          >
-            Reset Application
-          </button>
-          <a
-            href="https://github.com/logspace-ai/langflow/issues/new"
-            target="_blank"
-            rel="noopener noreferrer"
-            className="rounded bg-status-red px-4 py-2 font-bold text-background hover:bg-error-foreground"
-          >
-            Create Issue
-          </a>
+    <div className="z-50 flex h-screen w-screen items-center justify-center bg-foreground bg-opacity-50">
+      <div className="flex h-screen w-screen flex-col  bg-background text-start shadow-lg">
+        <div className="m-auto grid w-1/2 justify-center gap-5 text-center">
+          <Card className="p-8">
+            <CardHeader>
+              <div className="m-auto">
+                <XCircle strokeWidth={1.5} className="h-16 w-16" />
+              </div>
+              <div>
+                <p className="mb-4 text-xl text-foreground">
+                  Sorry, we found an unexpected error!
+                </p>
+              </div>
+            </CardHeader>
+
+            <CardContent className="grid">
+              <div>
+                <p>
+                Please report errors with detailed tracebacks on the{" "}
+                  <a
+                    href="https://github.com/logspace-ai/langflow/issues"
+                    target="_blank"
+                    rel="noopener noreferrer"
+                    className="font-medium  hover:underline "
+                  >
+                    GitHub Issues
+                  </a>{" "}
+                  page.
+                  <br></br>
+                   Thank you!
+                </p>
+              </div>
+            </CardContent>
+
+            <CardFooter>
+              <div className="m-auto mt-4 flex justify-center">
+                <Button onClick={resetErrorBoundary}>Restart Langflow</Button>
+
+                <a
+                  href="https://github.com/logspace-ai/langflow/issues/new"
+                  target="_blank"
+                  rel="noopener noreferrer"
+                >
+                  <Button className="ml-3" variant={"outline"}>
+                    Report on GitHub
+                  </Button>
+                </a>
+              </div>
+            </CardFooter>
+          </Card>
        </div>
      </div>
    </div>
--- a/src/frontend/src/components/IOview/index.tsx
+++ b/src/frontend/src/components/IOview/index.tsx
@ -153,7 +153,7 @@ export default function IOView({ children, open, setOpen }): JSX.Element {
                              trigger={
                                <div className="file-component-badge-div">
                                  <Badge variant="gray" size="md">
-                                    {input.id}
+                                    {node.data.node.display_name}
                                  </Badge>
                                  {haveChat && (
                                    <div
@ -194,7 +194,7 @@ export default function IOView({ children, open, setOpen }): JSX.Element {
                    className="api-modal-tabs-content mt-4"
                  >
                    <div className="mx-2 mb-2 flex items-center gap-2 text-sm font-bold">
-                      <IconComponent className="h-4 w-4" name={"Braces"} />
+                      <IconComponent className="h-4 w-4" name={"FileType2"} />
                      {outputsModalTitle}
                    </div>
                    {nodes
--- a/src/frontend/src/constants/constants.ts
+++ b/src/frontend/src/constants/constants.ts
@ -701,7 +701,7 @@ export const editTextPlaceholder = "Type message here.";
 export const inputHandleHover = "Avaliable input components:";
 export const outputHandleHover = "Avaliable output components:";
 export const textInputModalTitle = "Text Inputs";
-export const outputsModalTitle = "Prompt Outputs";
+export const outputsModalTitle = "Text Outputs";
 export const langflowChatTitle = "Langflow Chat";
 export const chatInputPlaceholder =
  "No chat input variables found. Click to run your flow.";
--- a/src/frontend/src/contexts/authContext.tsx
+++ b/src/frontend/src/contexts/authContext.tsx
@ -7,6 +7,7 @@ import {
  requestLogout,
 } from "../controllers/API";
 import useAlertStore from "../stores/alertStore";
+import useFlowsManagerStore from "../stores/flowsManagerStore";
 import { Users } from "../types/api";
 import { AuthContextType } from "../types/contexts/auth";

@ -79,6 +80,7 @@ export function AuthProvider({ children }): React.ReactElement {
          getUser();
        } else {
          setLoading(false);
+          useFlowsManagerStore.setState({ isLoading: false });
        }
      });
  }, [setUserData, setLoading, autoLogin, setIsAdmin]);
--- a/src/frontend/src/icons/Azure/Azure.jsx
+++ b/src/frontend/src/icons/Azure/Azure.jsx
--- a/src/frontend/src/icons/Azure/index.tsx
+++ b/src/frontend/src/icons/Azure/index.tsx
@ -0,0 +1,8 @@
+import React, { forwardRef } from "react";
+import SvgAzure from "./Azure";
+
+export const AzureIcon = forwardRef<SVGSVGElement, React.PropsWithChildren<{}>>(
+  (props, ref) => {
+    return <SvgAzure ref={ref} {...props} />;
+  }
+);
--- a/src/frontend/src/icons/Ollama/Ollama.jsx
+++ b/src/frontend/src/icons/Ollama/Ollama.jsx
--- a/src/frontend/src/icons/Ollama/Ollama.svg
+++ b/src/frontend/src/icons/Ollama/Ollama.svg
--- a/src/frontend/src/icons/Ollama/index.tsx
+++ b/src/frontend/src/icons/Ollama/index.tsx
@ -0,0 +1,9 @@
+import React, { forwardRef } from "react";
+import SvgOllama from "./Ollama";
+
+export const OllamaIcon = forwardRef<
+  SVGSVGElement,
+  React.PropsWithChildren<{}>
+>((props, ref) => {
+  return <SvgOllama ref={ref} {...props} />;
+});
--- a/src/frontend/src/icons/Postgres/Postgres.jsx
+++ b/src/frontend/src/icons/Postgres/Postgres.jsx
--- a/src/frontend/src/icons/Postgres/Postgres.svg
+++ b/src/frontend/src/icons/Postgres/Postgres.svg
--- a/src/frontend/src/icons/Postgres/index.tsx
+++ b/src/frontend/src/icons/Postgres/index.tsx
@ -0,0 +1,9 @@
+import React, { forwardRef } from "react";
+import SvgPostgres from "./Postgres";
+
+export const PostgresIcon = forwardRef<
+  SVGSVGElement,
+  React.PropsWithChildren<{}>
+>((props, ref) => {
+  return <SvgPostgres ref={ref} {...props} />;
+});
--- a/src/frontend/src/icons/Redis/Redis.jsx
+++ b/src/frontend/src/icons/Redis/Redis.jsx
--- a/src/frontend/src/icons/Redis/Redis.svg
+++ b/src/frontend/src/icons/Redis/Redis.svg
--- a/src/frontend/src/icons/Redis/index.tsx
+++ b/src/frontend/src/icons/Redis/index.tsx
@ -0,0 +1,8 @@
+import React, { forwardRef } from "react";
+import { SvgRedis } from "./Redis";
+
+export const RedisIcon = forwardRef<SVGSVGElement, React.PropsWithChildren<{}>>(
+  (props, ref) => {
+    return <SvgRedis ref={ref} {...props} />;
+  }
+);
--- a/src/frontend/src/modals/codeAreaModal/index.tsx
+++ b/src/frontend/src/modals/codeAreaModal/index.tsx
@ -47,12 +47,6 @@ export default function CodeAreaModal({
  const [error, setError] = useState<{
    detail: { error: string | undefined; traceback: string | undefined };
  } | null>(null);
-  const handleModalWShortcut = useFlowStore(
-    (state) => state.handleModalWShortcut
-  );
-  const openCodeModalWShortcut = useFlowStore(
-    (state) => state.openCodeModalWShortcut
-  );
  const [open, setOpen] = useState(false);
  const nodes = useFlowStore((state) => state.nodes);

@ -62,26 +56,7 @@ export default function CodeAreaModal({
    if (dynamic && Object.keys(nodeClass!.template).length > 2) {
      return;
    }
-  }, []);                                                          
-
-  useEffect(() => {
-    const handleKeyDown = (event: KeyboardEvent) => {
-      if (
-        (event.key === "C" || event.key === "c") &&
-        (event.metaKey || event.ctrlKey) &&
-        selected
-      ) {
-        event.preventDefault();
-        console.log("entrou")
-        setOpen((oldState) => !oldState);
-      }
-    };
-    document.addEventListener("keydown", handleKeyDown);
-    return () => {
-      document.removeEventListener("keydown", handleKeyDown);
-    };
  }, []);
-  

  useEffect(() => {
    console.log(open)
--- a/src/frontend/src/pages/FlowPage/components/PageComponent/index.tsx
+++ b/src/frontend/src/pages/FlowPage/components/PageComponent/index.tsx
@ -488,4 +488,4 @@ export default function Page({
      </main>
    </div>
  );
-}
+}
--- a/src/frontend/src/pages/FlowPage/components/nodeToolbarComponent/index.tsx
+++ b/src/frontend/src/pages/FlowPage/components/nodeToolbarComponent/index.tsx
@ -90,13 +90,6 @@ export default function NodeToolbarComponent({
  }, [showModalAdvanced]);
  const updateNodeInternals = useUpdateNodeInternals();

-  const openCodeModalWShortcut = useFlowStore(
-    (state) => state.openCodeModalWShortcut
-  );
-  const handleModalWShortcut = useFlowStore(
-    (state) => state.handleModalWShortcut
-  );
-
  const setLastCopiedSelection = useFlowStore(
    (state) => state.setLastCopiedSelection
  );
--- a/src/frontend/src/stores/flowStore.ts
+++ b/src/frontend/src/stores/flowStore.ts
@ -30,6 +30,7 @@ import {
 } from "../types/zustand/flow";
 import { buildVertices } from "../utils/buildUtils";
 import {
+  checkChatInput,
  cleanEdges,
  getHandleId,
  getNodeId,
@ -56,16 +57,6 @@ const useFlowStore = create<FlowStoreType>((set, get) => ({
  flowPool: {},
  inputs: [],
  outputs: [],
-  openCodeModalWShortcut: false,
-  handleModalWShortcut: (modal) => {
-    switch (modal) {
-      case "code":
-        set((state) => ({
-          openCodeModalWShortcut: !state.openCodeModalWShortcut,
-        }));
-        break;
-    }
-  },
  setFlowPool: (flowPool) => {
    set({ flowPool });
  },
@ -228,6 +219,10 @@ const useFlowStore = create<FlowStoreType>((set, get) => ({
    );
  },
  paste: (selection, position) => {
+    if(selection.nodes.some((node) => node.data.type === "ChatInput") && checkChatInput(get().nodes)){
+      useAlertStore.getState().setErrorData({title: "Error pasting components", list: ["You can only have one ChatInput component in the flow"]});
+      return;
+    }
    let minimumX = Infinity;
    let minimumY = Infinity;
    let idsMap = {};
--- a/src/frontend/src/stores/typesStore.ts
+++ b/src/frontend/src/stores/typesStore.ts
@ -16,7 +16,7 @@ export const useTypesStore = create<TypesStoreType>((set, get) => ({
      setLoading(true);
      getAll()
        .then((response) => {
-          const data = response.data;
+          const data = response?.data;
          useAlertStore.setState({ loading: false });
          set((old) => ({
            types: typesGenerator(data),
--- a/src/frontend/src/types/zustand/flow/index.ts
+++ b/src/frontend/src/types/zustand/flow/index.ts
@ -40,8 +40,6 @@ export type FlowPoolType = {
 };

 export type FlowStoreType = {
-  openCodeModalWShortcut: boolean;
-  handleModalWShortcut: (modal: string) => void;
  flowPool: FlowPoolType;
  inputs: Array<{ type: string; id: string }>;
  outputs: Array<{ type: string; id: string }>;
--- a/src/frontend/src/utils/reactflowUtils.ts
+++ b/src/frontend/src/utils/reactflowUtils.ts
@ -44,6 +44,10 @@ import {
 } from "./utils";
 const uid = new ShortUniqueId({ length: 5 });

+export function checkChatInput(nodes: Node[]) {
+  return nodes.some((node) => node.data.type === "ChatInput");
+}
+
 export function cleanEdges(nodes: Node[], edges: Edge[]) {
  let newEdges = cloneDeep(edges);
  edges.forEach((edge) => {
--- a/src/frontend/src/utils/styleUtils.ts
+++ b/src/frontend/src/utils/styleUtils.ts
@ -42,6 +42,7 @@ import {
  FileSearch,
  FileSearch2,
  FileText,
+  FileType2,
  FileUp,
  Fingerprint,
  FlaskConical,
@ -124,10 +125,11 @@ import {
  XCircle,
  Zap,
 } from "lucide-react";
-import { FaApple, FaGithub } from "react-icons/fa";
+import { FaApple, FaGithub, FaRobot } from "react-icons/fa";
 import { AWSIcon } from "../icons/AWS";
 import { AirbyteIcon } from "../icons/Airbyte";
 import { AnthropicIcon } from "../icons/Anthropic";
+import { AzureIcon } from "../icons/Azure";
 import { BingIcon } from "../icons/Bing";
 import { ChromaIcon } from "../icons/ChromaIcon";
 import { CohereIcon } from "../icons/Cohere";
@ -147,9 +149,12 @@ import { MetaIcon } from "../icons/Meta";
 import { MidjourneyIcon } from "../icons/Midjorney";
 import { MongoDBIcon } from "../icons/MongoDB";
 import { NotionIcon } from "../icons/Notion";
+import { OllamaIcon } from "../icons/Ollama";
 import { OpenAiIcon } from "../icons/OpenAi";
 import { PineconeIcon } from "../icons/Pinecone";
+import { PostgresIcon } from "../icons/Postgres";
 import { QDrantIcon } from "../icons/QDrant";
+import { RedisIcon } from "../icons/Redis";
 import { SearxIcon } from "../icons/Searx";
 import { ShareIcon } from "../icons/Share";
 import { Share2Icon } from "../icons/Share2";
@ -253,6 +258,20 @@ export const nodeNames: { [char: string]: string } = {
 };

 export const nodeIconsLucide: iconsType = {
+  AzureChatOpenAi: AzureIcon,
+  Ollama: OllamaIcon,
+  ChatOllama: OllamaIcon,
+  AzureOpenAiEmbeddings: AzureIcon,
+  Azure: AzureIcon,
+  OllamaEmbeddings: OllamaIcon,
+  ChatOllamaModel: OllamaIcon,
+  Faiss: MetaIcon,
+  FaissSearch: MetaIcon,
+  AzureOpenAiModel: AzureIcon,
+  Redis: RedisIcon,
+  RedisSearch: RedisIcon,
+  PostgresChatMessageHistory: PostgresIcon,
+  BaiduQianfan: FaRobot,
  Play,
  Vectara: VectaraIcon,
  ArrowUpToLine: ArrowUpToLine,
@ -354,6 +373,7 @@ export const nodeIconsLucide: iconsType = {
  Plus,
  Redo,
  Settings2,
+  FileType2,
  Undo,
  FileSearch2,
  ChevronRight,
--- a/tests/test_endpoints.py
+++ b/tests/test_endpoints.py
@ -29,7 +29,10 @@ def poll_task_status(client, headers, href, max_attempts=20, sleep_time=1):
            href,
            headers=headers,
        )
-        if task_status_response.status_code == 200 and task_status_response.json()["status"] == "SUCCESS":
+        if (
+            task_status_response.status_code == 200
+            and task_status_response.json()["status"] == "SUCCESS"
+        ):
            return task_status_response.json()
        time.sleep(sleep_time)
    return None  # Return None if task did not complete in time
@ -123,7 +126,11 @@ def created_api_key(active_user):
    )
    db_manager = get_db_service()
    with session_getter(db_manager) as session:
-        if existing_api_key := session.query(ApiKey).filter(ApiKey.api_key == api_key.api_key).first():
+        if (
+            existing_api_key := session.query(ApiKey)
+            .filter(ApiKey.api_key == api_key.api_key)
+            .first()
+        ):
            return existing_api_key
        session.add(api_key)
        session.commit()
@ -289,7 +296,11 @@ def test_get_all(client: TestClient, logged_in_headers):
    dir_reader = DirectoryReader(settings.COMPONENTS_PATH[0])
    files = dir_reader.get_files()
    # json_response is a dict of dicts
-    all_names = [component_name for _, components in response.json().items() for component_name in components]
+    all_names = [
+        component_name
+        for _, components in response.json().items()
+        for component_name in components
+    ]
    json_response = response.json()
    # We need to test the custom nodes
    assert len(all_names) > len(files)
@ -414,13 +425,19 @@ def test_various_prompts(client, prompt, expected_input_variables):


 def test_get_vertices_flow_not_found(client, logged_in_headers):
-    response = client.get("/api/v1/build/nonexistent_id/vertices", headers=logged_in_headers)
-    assert response.status_code == 500  # Or whatever status code you've set for invalid ID
+    response = client.get(
+        "/api/v1/build/nonexistent_id/vertices", headers=logged_in_headers
+    )
+    assert (
+        response.status_code == 500
+    )  # Or whatever status code you've set for invalid ID


 def test_get_vertices(client, added_flow_with_prompt_and_history, logged_in_headers):
    flow_id = added_flow_with_prompt_and_history["id"]
-    response = client.get(f"/api/v1/build/{flow_id}/vertices", headers=logged_in_headers)
+    response = client.get(
+        f"/api/v1/build/{flow_id}/vertices", headers=logged_in_headers
+    )
    assert response.status_code == 200
    assert "ids" in response.json()
    # The response should contain the list in this order
@ -436,13 +453,19 @@ def test_get_vertices(client, added_flow_with_prompt_and_history, logged_in_head


 def test_build_vertex_invalid_flow_id(client, logged_in_headers):
-    response = client.post("/api/v1/build/nonexistent_id/vertices/vertex_id", headers=logged_in_headers)
+    response = client.post(
+        "/api/v1/build/nonexistent_id/vertices/vertex_id", headers=logged_in_headers
+    )
    assert response.status_code == 500


-def test_build_vertex_invalid_vertex_id(client, added_flow_with_prompt_and_history, logged_in_headers):
+def test_build_vertex_invalid_vertex_id(
+    client, added_flow_with_prompt_and_history, logged_in_headers
+):
    flow_id = added_flow_with_prompt_and_history["id"]
-    response = client.post(f"/api/v1/build/{flow_id}/vertices/invalid_vertex_id", headers=logged_in_headers)
+    response = client.post(
+        f"/api/v1/build/{flow_id}/vertices/invalid_vertex_id", headers=logged_in_headers
+    )
    assert response.status_code == 500


--- a/tests/test_prompts_template.py
+++ b/tests/test_prompts_template.py
@ -1,4 +1,5 @@
 from fastapi.testclient import TestClient
+
 from langflow.services.deps import get_settings_service


@ -9,42 +10,3 @@ def test_prompts_settings(client: TestClient, logged_in_headers):
    json_response = response.json()
    prompts = json_response["prompts"]
    assert set(prompts.keys()) == set(settings_service.settings.PROMPTS)
-
-
-def test_prompt_template(client: TestClient, logged_in_headers):
-    response = client.get("api/v1/all", headers=logged_in_headers)
-    assert response.status_code == 200
-    json_response = response.json()
-    prompts = json_response["prompts"]
-
-    prompt = prompts["PromptTemplate"]
-    template = prompt["template"]
-    assert template["input_variables"] == {
-        "required": True,
-        "dynamic": True,
-        "placeholder": "",
-        "show": False,
-        "multiline": False,
-        "password": False,
-        "name": "input_variables",
-        "type": "str",
-        "list": True,
-        "advanced": False,
-        "info": "",
-        "fileTypes": [],
-    }
-
-    assert template["template"] == {
-        "required": True,
-        "dynamic": True,
-        "placeholder": "",
-        "show": True,
-        "multiline": True,
-        "password": False,
-        "name": "template",
-        "type": "prompt",
-        "list": False,
-        "advanced": False,
-        "info": "",
-        "fileTypes": [],
-    }