From 8de4812302fd2b982775b77633c862c84578cfea Mon Sep 17 00:00:00 2001 From: Mendon Kissling <59585235+mendonk@users.noreply.github.com> Date: Thu, 2 May 2024 16:49:30 -0400 Subject: [PATCH 01/55] initial-content --- .../docs/contributing/contribute-component.md | 20 +++++++++++++++++++ 1 file changed, 20 insertions(+) create mode 100644 docs/docs/contributing/contribute-component.md diff --git a/docs/docs/contributing/contribute-component.md b/docs/docs/contributing/contribute-component.md new file mode 100644 index 000000000..1b45747f3 --- /dev/null +++ b/docs/docs/contributing/contribute-component.md @@ -0,0 +1,20 @@ +# How to contribute components? + +As of Langflow 1.0 alpha, new components are added as objects of the `CustomComponent` class and any dependencies are added to the pyproject.toml file. + +## Add an example component + +You have a new document loader called **MyCustomEmbedding** and it would look awesome in Langflow. + +1. Write your loader as an object of the [CustomComponent](https://github.com/langflow-ai/langflow/blob/dev/src/backend/base/langflow/interface/custom/custom_component/custom_component.py) class. You'll create a new class, `MyCustomEmbeddingComponent`, that will inherit from `CustomComponent` and override the base class's methods. +2. Define optional attributes like `display_name`, `description`, and `documentation` to provide information about your custom component. +3. Implement the `build_config` method to define the configuration options for your custom component. +4. Implement the `build` method to define the logic for taking input parameters specified in the `build_config` method and returning the desired output. +5. Add the code to the [/components/document_loaders](https://github.com/langflow-ai/langflow/tree/dev/src/backend/base/langflow/components) folder. +6. Add the dependency to [/document_loaders/\_\_init\_\_.py](https://github.com/langflow-ai/langflow/blob/dev/src/backend/base/langflow/components/documentloaders/__init__.py) as `from .MyCustomEmbedding import MyCustomEmbeddingComponent`. +7. Add any new dependencies to the outer [pyproject.toml](https://github.com/langflow-ai/langflow/blob/dev/pyproject.toml#L27) file. +8. Submit your changes as a pull request. The Langflow team will have a look, suggest changes, and add your component to Langflow. + + + + From 429661a5f9043463c72e2e967afb020ed5b802c0 Mon Sep 17 00:00:00 2001 From: Mendon Kissling <59585235+mendonk@users.noreply.github.com> Date: Thu, 2 May 2024 16:50:48 -0400 Subject: [PATCH 02/55] nav --- docs/sidebars.js | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/docs/sidebars.js b/docs/sidebars.js index a8a673610..5ac73a656 100644 --- a/docs/sidebars.js +++ b/docs/sidebars.js @@ -128,7 +128,8 @@ module.exports = { items: [ "contributing/how-contribute", "contributing/github-issues", - "contributing/community" + "contributing/community", + "contributing/contribute-component" ], }, ], From 40ebdd3c1b419f65c72ec85f0bc85c3a9eea4c77 Mon Sep 17 00:00:00 2001 From: Mendon Kissling <59585235+mendonk@users.noreply.github.com> Date: Thu, 2 May 2024 16:51:47 -0400 Subject: [PATCH 03/55] links --- docs/docs/contributing/contribute-component.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/docs/contributing/contribute-component.md b/docs/docs/contributing/contribute-component.md index 1b45747f3..faf7874a2 100644 --- a/docs/docs/contributing/contribute-component.md +++ b/docs/docs/contributing/contribute-component.md @@ -1,6 +1,6 @@ # How to contribute components? -As of Langflow 1.0 alpha, new components are added as objects of the `CustomComponent` class and any dependencies are added to the pyproject.toml file. +As of Langflow 1.0 alpha, new components are added as objects of the [CustomComponent](https://github.com/langflow-ai/langflow/blob/dev/src/backend/base/langflow/interface/custom/custom_component/custom_component.py) class and any dependencies are added to the [pyproject.toml](https://github.com/langflow-ai/langflow/blob/dev/pyproject.toml#L27) file. ## Add an example component From da3057fd50b002f7a407703dc81255dfde3200ec Mon Sep 17 00:00:00 2001 From: cristhianzl Date: Mon, 6 May 2024 16:11:02 -0300 Subject: [PATCH 04/55] =?UTF-8?q?=F0=9F=90=9B=20(index.tsx):=20fix=20missi?= =?UTF-8?q?ng=20line=20break=20after=20handleUpdateValues=20function=20cal?= =?UTF-8?q?l=20=E2=9C=A8=20(index.tsx):=20improve=20performance=20by=20deb?= =?UTF-8?q?ouncing=20handleUpdateValues=20function=20call=20for=20certain?= =?UTF-8?q?=20types=20of=20parameters=20=F0=9F=93=9D=20(parameterUtils.ts)?= =?UTF-8?q?:=20update=20handleUpdateValues=20function=20to=20use=20optiona?= =?UTF-8?q?l=20chaining=20for=20accessing=20template=20properties=20?= =?UTF-8?q?=F0=9F=9A=80=20(chatInputOutput.spec.ts):=20remove=20unused=20i?= =?UTF-8?q?mports=20and=20commented=20code=20=F0=9F=9A=80=20(dragAndDrop.s?= =?UTF-8?q?pec.ts):=20fix=20typo=20in=20test=20description?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../components/parameterComponent/index.tsx | 41 +++++++++++++------ src/frontend/src/utils/parameterUtils.ts | 29 +++++-------- .../tests/end-to-end/chatInputOutput.spec.ts | 21 ++++------ .../tests/end-to-end/dragAndDrop.spec.ts | 6 +-- 4 files changed, 51 insertions(+), 46 deletions(-) diff --git a/src/frontend/src/customNodes/genericNode/components/parameterComponent/index.tsx b/src/frontend/src/customNodes/genericNode/components/parameterComponent/index.tsx index 3fe99b89e..028e3e5d5 100644 --- a/src/frontend/src/customNodes/genericNode/components/parameterComponent/index.tsx +++ b/src/frontend/src/customNodes/genericNode/components/parameterComponent/index.tsx @@ -86,7 +86,7 @@ export default function ParameterComponent({ let disabled = edges.some( (edge) => - edge.targetHandle === scapedJSONStringfy(proxy ? { ...id, proxy } : id) + edge.targetHandle === scapedJSONStringfy(proxy ? { ...id, proxy } : id), ) ?? false; const myData = useTypesStore((state) => state.data); @@ -97,6 +97,7 @@ export default function ParameterComponent({ setIsLoading(true); try { let newTemplate = await handleUpdateValues(name, data); + if (newTemplate) { setNode(data.id, (oldNode) => { let newNode = cloneDeep(oldNode); @@ -130,6 +131,7 @@ export default function ParameterComponent({ setIsLoading(true); try { let newTemplate = await handleUpdateValues(name, data); + if (newTemplate) { setNode(data.id, (oldNode) => { let newNode = cloneDeep(oldNode); @@ -154,23 +156,35 @@ export default function ParameterComponent({ } fetchData(); }, []); + const handleOnNewValue = async ( - newValue: string | string[] | boolean | Object[] + newValue: string | string[] | boolean | Object[], ): Promise => { - if (data.node!.template[name].value !== newValue) { + const nodeTemplate = data.node!.template[name]; + const currentValue = nodeTemplate.value; + + if (currentValue !== newValue) { takeSnapshot(); } + const shouldUpdate = data.node?.template[name].real_time_refresh && !data.node?.template[name].refresh_button && - data.node!.template[name].value !== newValue; + currentValue !== newValue; + + const typeToDebounce = nodeTemplate.type; + + nodeTemplate.value = newValue; - data.node!.template[name].value = newValue; // necessary to enable ctrl+z inside the input let newTemplate; if (shouldUpdate) { setIsLoading(true); try { - newTemplate = await debouncedHandleUpdateValues(name, data); + if (["int"].includes(typeToDebounce)) { + newTemplate = await handleUpdateValues(name, data); + } else { + newTemplate = await debouncedHandleUpdateValues(name, data); + } } catch (error) { let responseError = error as ResponseErrorTypeAPI; setErrorData({ @@ -179,18 +193,19 @@ export default function ParameterComponent({ }); } setIsLoading(false); - // this de } - setNode(data.id, (oldNode) => { - let newNode = cloneDeep(oldNode); + setNode(data.id, (oldNode) => { + const newNode = cloneDeep(oldNode); newNode.data = { ...newNode.data, }; if (data.node?.template[name].real_time_refresh && newTemplate) { newNode.data.node.template = newTemplate; - } else newNode.data.node.template[name].value = newValue; + } else { + newNode.data.node.template[name].value = newValue; + } return newNode; }); @@ -264,7 +279,7 @@ export default function ParameterComponent({ 0 ? "mt-2 flex items-center" : "mt-3 flex items-center" + index > 0 ? "mt-2 flex items-center" : "mt-3 flex items-center", )} >
{ - const code = data.node?.template["code"]?.value; + const code = data.node?.template?.code?.value; if (!code) { console.error("Code not found in the template"); return; } + const template = data.node?.template; if (!template) { console.error("No template found in the node."); return; } + try { - let newTemplate = await postCustomComponentUpdate( + const res = await postCustomComponentUpdate( code, template, name, - data.node?.template[name]?.value - ) - .then((res) => { - console.log("res", res); - if (res.status === 200 && data.node?.template) { - return res.data.template; - } - }) - .catch((error) => { - throw error; - }); - return newTemplate; + data.node?.template[name]?.value, + ); + if (res.status === 200 && data.node?.template) { + return res.data.template; + } } catch (error) { console.error("Error occurred while updating the node:", error); - let errorType = error as ResponseErrorTypeAPI; - throw errorType; + throw error; } }; export const debouncedHandleUpdateValues = debounce( handleUpdateValues, - SAVE_DEBOUNCE_TIME + SAVE_DEBOUNCE_TIME, ); diff --git a/src/frontend/tests/end-to-end/chatInputOutput.spec.ts b/src/frontend/tests/end-to-end/chatInputOutput.spec.ts index 50548ab21..a8ddbe3c7 100644 --- a/src/frontend/tests/end-to-end/chatInputOutput.spec.ts +++ b/src/frontend/tests/end-to-end/chatInputOutput.spec.ts @@ -1,7 +1,5 @@ import { expect, test } from "@playwright/test"; -import * as dotenv from "dotenv"; import { readFileSync } from "fs"; -import path from "path"; test("user must interact with chat with Input/Output", async ({ page }) => { if (!process.env.CI) { @@ -60,7 +58,7 @@ test("user must interact with chat with Input/Output", async ({ page }) => { .getByTestId("textarea-input_value") .nth(1) .fill( - "testtesttesttesttesttestte;.;.,;,.;,.;.,;,..,;;;;;;;;;;;;;;;;;;;;;,;.;,.;,.,;.,;.;.,~~çççççççççççççççççççççççççççççççççççççççisdajfdasiopjfaodisjhvoicxjiovjcxizopjviopasjioasfhjaiohf23432432432423423sttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttestççççççççççççççççççççççççççççççççç,.,.,.,.,.,.,.,.,.,.,.,.,.,.,.,.,!" + "testtesttesttesttesttestte;.;.,;,.;,.;.,;,..,;;;;;;;;;;;;;;;;;;;;;,;.;,.;,.,;.,;.;.,~~çççççççççççççççççççççççççççççççççççççççisdajfdasiopjfaodisjhvoicxjiovjcxizopjviopasjioasfhjaiohf23432432432423423sttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttestççççççççççççççççççççççççççççççççç,.,.,.,.,.,.,.,.,.,.,.,.,.,.,.,.,!", ); await page.getByTestId("input-sender_name").nth(1).fill("TestSenderNameUser"); await page.getByTestId("input-sender_name").nth(0).fill("TestSenderNameAI"); @@ -82,21 +80,15 @@ test("user must interact with chat with Input/Output", async ({ page }) => { await page .getByText( "testtesttesttesttesttestte;.;.,;,.;,.;.,;,..,;;;;;;;;;;;;;;;;;;;;;,;.;,.;,.,;.,;.;.,~~çççççççççççççççççççççççççççççççççççççççisdajfdasiopjfaodisjhvoicxjiovjcxizopjviopasjioasfhjaiohf23432432432423423sttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttestççççççççççççççççççççççççççççççççç,.,.,.,.,.,.,.,.,.,.,.,.,.,.,.,.,!", - { exact: true } + { exact: true }, ) - .isVisible() + .isVisible(), ); }); test("chat_io_teste", async ({ page }) => { await page.goto("/"); await page.locator("span").filter({ hasText: "My Collection" }).isVisible(); - // Read your file into a buffer. - const jsonContent = readFileSync( - "tests/end-to-end/assets/ChatTest.json", - "utf-8" - ); - await page.waitForTimeout(3000); let modalCount = 0; @@ -115,6 +107,11 @@ test("chat_io_teste", async ({ page }) => { modalCount = await page.getByTestId("modal-title")?.count(); } + const jsonContent = readFileSync( + "tests/end-to-end/assets/ChatTest.json", + "utf-8", + ); + await page.getByTestId("blank-flow").click(); await page.waitForTimeout(2000); @@ -135,7 +132,7 @@ test("chat_io_teste", async ({ page }) => { "drop", { dataTransfer, - } + }, ); await page.getByLabel("fit view").click(); await page.getByText("Playground", { exact: true }).click(); diff --git a/src/frontend/tests/end-to-end/dragAndDrop.spec.ts b/src/frontend/tests/end-to-end/dragAndDrop.spec.ts index 785aab408..dbb1d10d7 100644 --- a/src/frontend/tests/end-to-end/dragAndDrop.spec.ts +++ b/src/frontend/tests/end-to-end/dragAndDrop.spec.ts @@ -27,7 +27,7 @@ test.describe("drag and drop test", () => { // Read your file into a buffer. const jsonContent = readFileSync( "tests/end-to-end/assets/collection.json", - "utf-8" + "utf-8", ); // Create the DataTransfer and File @@ -47,10 +47,10 @@ test.describe("drag and drop test", () => { "drop", { dataTransfer, - } + }, ); - await page.getByText("Edit Flow").first().click(); + await page.getByText("Getting Started").first().click(); await page.waitForTimeout(1000); const genericNoda = page.getByTestId("div-generic-node"); From 5a21263272f03424ac9c61b0d0fe6a8d41e8db4d Mon Sep 17 00:00:00 2001 From: Rodrigo Nader Date: Wed, 8 May 2024 09:59:27 -0300 Subject: [PATCH 05/55] Refactor TextOperatorComponent to include true_output parameter (#1829) * Refactor TextOperatorComponent to include true_output parameter * Refactor TextOperatorComponent to include true_output parameter * Add PassComponent to experimental components --- .../langflow/components/experimental/Pass.py | 28 ++++++++++++ .../components/experimental/TextOperator.py | 44 ++++++++++++++++--- 2 files changed, 65 insertions(+), 7 deletions(-) create mode 100644 src/backend/base/langflow/components/experimental/Pass.py diff --git a/src/backend/base/langflow/components/experimental/Pass.py b/src/backend/base/langflow/components/experimental/Pass.py new file mode 100644 index 000000000..1c76a8e96 --- /dev/null +++ b/src/backend/base/langflow/components/experimental/Pass.py @@ -0,0 +1,28 @@ +from typing import Union +from langflow.interface.custom.custom_component import CustomComponent +from langflow.schema import Record +from langflow.field_typing import Text + +class PassComponent(CustomComponent): + display_name = "Pass" + description = "A pass-through component that forwards the second input while ignoring the first, used for controlling workflow direction." + field_order = ["ignored_input", "forwarded_input"] + + def build_config(self) -> dict: + return { + "ignored_input": { + "display_name": "Ignored Input", + "info": "This input is ignored. It's used to control the flow in the graph.", + "input_types": ["Text", "Record"], + }, + "forwarded_input": { + "display_name": "Input", + "info": "This input is forwarded by the component.", + "input_types": ["Text", "Record"], + } + } + + def build(self, ignored_input: Text, forwarded_input: Text) -> Union[Text, Record]: + # The ignored_input is not used in the logic, it's just there for graph flow control + self.status = forwarded_input + return forwarded_input diff --git a/src/backend/base/langflow/components/experimental/TextOperator.py b/src/backend/base/langflow/components/experimental/TextOperator.py index d21d7b7cb..095a7dcb3 100644 --- a/src/backend/base/langflow/components/experimental/TextOperator.py +++ b/src/backend/base/langflow/components/experimental/TextOperator.py @@ -1,3 +1,5 @@ +from typing import Optional, Union + from langflow.interface.custom.custom_component import CustomComponent from langflow.schema import Record from langflow.field_typing import Text @@ -19,19 +21,41 @@ class TextOperatorComponent(CustomComponent): "operator": { "display_name": "Operator", "info": "The operator to apply for comparing the texts.", - "options": ["equals", "not equals", "contains", "starts with", "ends with"], + "options": [ + "equals", + "not equals", + "contains", + "starts with", + "ends with", + "exists" + ], }, "case_sensitive": { "display_name": "Case Sensitive", "info": "If true, the comparison will be case sensitive.", "field_type": "bool", "default": False, - } + }, + "true_output": { + "display_name": "Output", + "info": "The output to return or display when the comparison is true.", + "input_types": ["Text", "Record"], # Allow both text and record types + }, } - def build(self, input_text: Text, match_text: Text, operator: Text, case_sensitive: bool = False) -> Text: + def build( + self, + input_text: Text, + match_text: Text, + operator: Text, + case_sensitive: bool = False, + true_output: Optional[Text] = "", + ) -> Union[Text, Record]: + if not input_text or not match_text: - raise ValueError("Both 'input_text' and 'match_text' must be provided and non-empty.") + raise ValueError( + "Both 'input_text' and 'match_text' must be provided and non-empty." + ) if not case_sensitive: input_text = input_text.lower() @@ -49,7 +73,13 @@ class TextOperatorComponent(CustomComponent): elif operator == "ends with": result = input_text.endswith(match_text) - if not result: + output_record = true_output if true_output else input_text + + if result: + self.status = output_record + return output_record + else: + self.status = "Comparison failed, stopping execution." self.stop() - self.status = f"{result} \n\n {input_text}" - return input_text + + return output_record \ No newline at end of file From 03f781c0f447cf0406db89473001cb61467036ce Mon Sep 17 00:00:00 2001 From: Rodrigo Nader Date: Wed, 8 May 2024 09:59:43 -0300 Subject: [PATCH 06/55] Refactor SplitText (#1836) Refactor LCModelComponent status message formatting for better readability --- .../base/langflow/base/models/model.py | 4 +- .../components/experimental/SplitText.py | 49 +++++++++++ .../langflow/components/helpers/SplitText.py | 87 ------------------- 3 files changed, 51 insertions(+), 89 deletions(-) create mode 100644 src/backend/base/langflow/components/experimental/SplitText.py delete mode 100644 src/backend/base/langflow/components/helpers/SplitText.py diff --git a/src/backend/base/langflow/base/models/model.py b/src/backend/base/langflow/base/models/model.py index 977090818..b38d275f9 100644 --- a/src/backend/base/langflow/base/models/model.py +++ b/src/backend/base/langflow/base/models/model.py @@ -57,7 +57,7 @@ class LCModelComponent(CustomComponent): prompt_tokens = token_usage["prompt_tokens"] total_tokens = token_usage["total_tokens"] finish_reason = response_metadata["finish_reason"] - status_message = f"Tokens:\n- Input: {prompt_tokens}\nOutput: {completion_tokens}\nTotal Tokens: {total_tokens}\nStop Reason: {finish_reason}\nResponse: {content}" + status_message = f"Tokens:\nInput: {prompt_tokens}\nOutput: {completion_tokens}\nTotal Tokens: {total_tokens}\nStop Reason: {finish_reason}\nResponse: {content}" elif all(key in response_metadata for key in anthropic_keys) and all( key in response_metadata["usage"] for key in inner_anthropic_keys ): @@ -65,7 +65,7 @@ class LCModelComponent(CustomComponent): input_tokens = usage["input_tokens"] output_tokens = usage["output_tokens"] stop_reason = response_metadata["stop_reason"] - status_message = f"Tokens:\n- Input: {input_tokens}\n- Output: {output_tokens}\nStop Reason: {stop_reason}\nResponse: {content}" + status_message = f"Tokens:\nInput: {input_tokens}\nOutput: {output_tokens}\nStop Reason: {stop_reason}\nResponse: {content}" else: status_message = f"Response: {content}" else: diff --git a/src/backend/base/langflow/components/experimental/SplitText.py b/src/backend/base/langflow/components/experimental/SplitText.py new file mode 100644 index 000000000..bd2bc921f --- /dev/null +++ b/src/backend/base/langflow/components/experimental/SplitText.py @@ -0,0 +1,49 @@ +from typing import Optional + +from langflow.field_typing import Text +from langflow.interface.custom.custom_component import CustomComponent +from langflow.schema import Record +from langflow.utils.util import unescape_string + + +class SplitTextComponent(CustomComponent): + display_name: str = "Split Text" + description: str = "Split text into chunks of a specified length." + + def build_config(self): + return { + "inputs": { + "display_name": "Inputs", + "info": "Texts to split.", + "input_types": ["Record", "Text"], + }, + "separator": { + "display_name": "Separator", + "info": 'The character to split on. Defaults to " ".', + }, + "truncate_size": { + "display_name": "Truncate Size", + "info": "The maximum length (in number of characters) of each chunk to keep. Defaults to 0 (no truncation).", + }, + } + + def build( + self, + inputs: list[Text], + separator: str = " ", + truncate_size: Optional[int] = 0, + ) -> list[Record]: + separator = unescape_string(separator) + + outputs = [] + for text in inputs: + chunks = text.split(separator) + + if truncate_size: + chunks = [chunk[:truncate_size] for chunk in chunks] + + for chunk in chunks: + outputs.append(Record(text=chunk, data={"parent": text})) + + self.status = outputs + return outputs diff --git a/src/backend/base/langflow/components/helpers/SplitText.py b/src/backend/base/langflow/components/helpers/SplitText.py deleted file mode 100644 index 565ee1ffc..000000000 --- a/src/backend/base/langflow/components/helpers/SplitText.py +++ /dev/null @@ -1,87 +0,0 @@ -from typing import Optional, Union - -from langchain.text_splitter import CharacterTextSplitter, RecursiveCharacterTextSplitter -from langchain_core.documents import Document - -from langflow.field_typing import Text -from langflow.interface.custom.custom_component import CustomComponent -from langflow.schema import Record -from langflow.utils.util import unescape_string - - -class SplitTextComponent(CustomComponent): - display_name: str = "Split Text" - description: str = "Split text into chunks of a specified length." - - def build_config(self): - return { - "inputs": { - "display_name": "Inputs", - "info": "Texts to split.", - "input_types": ["Record", "Text"], - }, - "separators": { - "display_name": "Separators", - "info": 'The characters to split on. Defaults to [" "].', - "is_list": True, - }, - "chunk_size": { - "display_name": "Max Chunk Size", - "info": "The maximum length (in number of characters) of each chunk.", - "field_type": "int", - "value": 1000, - }, - "chunk_overlap": { - "display_name": "Chunk Overlap", - "info": "The amount of character overlap between chunks.", - "field_type": "int", - "value": 200, - }, - "recursive": { - "display_name": "Recursive", - }, - "code": {"show": False}, - } - - def build( - self, - inputs: list[Text], - separators: Optional[list[str]] = [" "], - chunk_size: Optional[int] = 1000, - chunk_overlap: Optional[int] = 200, - recursive: bool = False, - ) -> list[Record]: - if separators is None: - separators = [] - separators = [unescape_string(x) for x in separators] - - # Make sure chunk_size and chunk_overlap are ints - if isinstance(chunk_size, str): - chunk_size = int(chunk_size) - if isinstance(chunk_overlap, str): - chunk_overlap = int(chunk_overlap) - splitter: Optional[Union[CharacterTextSplitter, RecursiveCharacterTextSplitter]] = None - if recursive: - splitter = RecursiveCharacterTextSplitter( - separators=separators, - chunk_size=chunk_size, - chunk_overlap=chunk_overlap, - ) - - else: - splitter = CharacterTextSplitter( - separator=separators[0], - chunk_size=chunk_size, - chunk_overlap=chunk_overlap, - ) - - documents = [] - for _input in inputs: - if isinstance(_input, Record): - documents.append(_input.to_lc_document()) - else: - documents.append(Document(page_content=_input)) - - records = self.to_records(splitter.split_documents(documents)) - self.status = records - return records From fa872849373f80f463ec5989e9d3a4979ddb5592 Mon Sep 17 00:00:00 2001 From: Gabriel Luiz Freitas Almeida Date: Wed, 8 May 2024 10:30:33 -0300 Subject: [PATCH 07/55] Update starter projects --- .../Basic Prompting (Hello, world!).json | 160 ++---- .../Langflow Blog Writter.json | 201 ++------ .../Langflow Document QA.json | 176 ++----- .../Langflow Memory Conversation.json | 241 ++------- .../Langflow Prompt Chaining.json | 337 +++--------- .../VectorStore-RAG-Flows.json | 480 ++++-------------- 6 files changed, 351 insertions(+), 1244 deletions(-) diff --git a/src/backend/base/langflow/initial_setup/starter_projects/Basic Prompting (Hello, world!).json b/src/backend/base/langflow/initial_setup/starter_projects/Basic Prompting (Hello, world!).json index adda95d44..445f38db9 100644 --- a/src/backend/base/langflow/initial_setup/starter_projects/Basic Prompting (Hello, world!).json +++ b/src/backend/base/langflow/initial_setup/starter_projects/Basic Prompting (Hello, world!).json @@ -45,9 +45,7 @@ "name": "template", "display_name": "Template", "advanced": false, - "input_types": [ - "Text" - ], + "input_types": ["Text"], "dynamic": false, "info": "", "load_from_db": false, @@ -86,22 +84,14 @@ "is_input": null, "is_output": null, "is_composition": null, - "base_classes": [ - "object", - "str", - "Text" - ], + "base_classes": ["object", "str", "Text"], "name": "", "display_name": "Prompt", "documentation": "", "custom_fields": { - "template": [ - "user_input" - ] + "template": ["user_input"] }, - "output_types": [ - "Text" - ], + "output_types": ["Text"], "full_path": null, "field_formatters": {}, "frozen": false, @@ -150,9 +140,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "code": { "type": "code", @@ -161,7 +149,7 @@ "list": false, "show": true, "multiline": true, - "value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\"},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": [\n \"gpt-4-turbo-2024-04-09\",\n \"gpt-4-turbo-preview\",\n \"gpt-3.5-turbo\",\n \"gpt-4-0125-preview\",\n \"gpt-4-1106-preview\",\n \"gpt-4-vision-preview\",\n \"gpt-3.5-turbo-0125\",\n \"gpt-3.5-turbo-1106\",\n ],\n \"value\": \"gpt-4-turbo-preview\",\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float,\n model_name: str,\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n", + "value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\"},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": MODEL_NAMES,\n \"value\": \"gpt-4-turbo-preview\",\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float,\n model_name: str,\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n", "fileTypes": [], "file_path": "", "password": false, @@ -222,14 +210,10 @@ "file_path": "", "password": false, "options": [ - "gpt-4-turbo-2024-04-09", + "gpt-4-turbo", "gpt-4-turbo-preview", "gpt-3.5-turbo", - "gpt-4-0125-preview", - "gpt-4-1106-preview", - "gpt-4-vision-preview", - "gpt-3.5-turbo-0125", - "gpt-3.5-turbo-1106" + "gpt-3.5-turbo-0125" ], "name": "model_name", "display_name": "Model Name", @@ -238,9 +222,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "openai_api_base": { "type": "str", @@ -259,9 +241,7 @@ "info": "The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\n\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "openai_api_key": { "type": "str", @@ -280,9 +260,7 @@ "info": "The OpenAI API Key to use for the OpenAI model.", "load_from_db": true, "title_case": false, - "input_types": [ - "Text" - ], + "input_types": ["Text"], "value": "" }, "stream": { @@ -321,9 +299,7 @@ "info": "System message to pass to the model.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "temperature": { "type": "float", @@ -354,11 +330,7 @@ }, "description": "Generates text using OpenAI LLMs.", "icon": "OpenAI", - "base_classes": [ - "object", - "Text", - "str" - ], + "base_classes": ["object", "Text", "str"], "display_name": "OpenAI", "documentation": "", "custom_fields": { @@ -372,9 +344,7 @@ "stream": null, "system_message": null }, - "output_types": [ - "Text" - ], + "output_types": ["Text"], "field_formatters": {}, "frozen": false, "field_order": [ @@ -445,9 +415,7 @@ "name": "input_value", "display_name": "Message", "advanced": false, - "input_types": [ - "Text" - ], + "input_types": ["Text"], "dynamic": false, "info": "", "load_from_db": false, @@ -471,9 +439,7 @@ "info": "In case of Message being a Record, this template will be used to convert it to text.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "return_record": { "type": "bool", @@ -505,10 +471,7 @@ "fileTypes": [], "file_path": "", "password": false, - "options": [ - "Machine", - "User" - ], + "options": ["Machine", "User"], "name": "sender", "display_name": "Sender Type", "advanced": true, @@ -516,9 +479,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "sender_name": { "type": "str", @@ -538,9 +499,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "session_id": { "type": "str", @@ -559,20 +518,13 @@ "info": "If provided, the message will be stored in the memory.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "_type": "CustomComponent" }, "description": "Display a chat message in the Playground.", "icon": "ChatOutput", - "base_classes": [ - "Record", - "Text", - "str", - "object" - ], + "base_classes": ["Record", "Text", "str", "object"], "display_name": "Chat Output", "documentation": "", "custom_fields": { @@ -583,10 +535,7 @@ "return_record": null, "record_template": null }, - "output_types": [ - "Text", - "Record" - ], + "output_types": ["Text", "Record"], "field_formatters": {}, "frozen": false, "field_order": [], @@ -682,10 +631,7 @@ "fileTypes": [], "file_path": "", "password": false, - "options": [ - "Machine", - "User" - ], + "options": ["Machine", "User"], "name": "sender", "display_name": "Sender Type", "advanced": true, @@ -693,9 +639,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "sender_name": { "type": "str", @@ -715,9 +659,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "session_id": { "type": "str", @@ -736,20 +678,13 @@ "info": "If provided, the message will be stored in the memory.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "_type": "CustomComponent" }, "description": "Get chat inputs from the Playground.", "icon": "ChatInput", - "base_classes": [ - "object", - "Record", - "str", - "Text" - ], + "base_classes": ["object", "Record", "str", "Text"], "display_name": "Chat Input", "documentation": "", "custom_fields": { @@ -759,10 +694,7 @@ "session_id": null, "return_record": null }, - "output_types": [ - "Text", - "Record" - ], + "output_types": ["Text", "Record"], "field_formatters": {}, "frozen": false, "field_order": [], @@ -790,17 +722,11 @@ "targetHandle": { "fieldName": "input_value", "id": "ChatOutput-njtka", - "inputTypes": [ - "Text" - ], + "inputTypes": ["Text"], "type": "str" }, "sourceHandle": { - "baseClasses": [ - "object", - "Text", - "str" - ], + "baseClasses": ["object", "Text", "str"], "dataType": "OpenAIModel", "id": "OpenAIModel-k39HS" } @@ -820,17 +746,11 @@ "targetHandle": { "fieldName": "input_value", "id": "OpenAIModel-k39HS", - "inputTypes": [ - "Text" - ], + "inputTypes": ["Text"], "type": "str" }, "sourceHandle": { - "baseClasses": [ - "object", - "str", - "Text" - ], + "baseClasses": ["object", "str", "Text"], "dataType": "Prompt", "id": "Prompt-uxBqP" } @@ -850,21 +770,11 @@ "targetHandle": { "fieldName": "user_input", "id": "Prompt-uxBqP", - "inputTypes": [ - "Document", - "BaseOutputParser", - "Record", - "Text" - ], + "inputTypes": ["Document", "BaseOutputParser", "Record", "Text"], "type": "str" }, "sourceHandle": { - "baseClasses": [ - "object", - "Record", - "str", - "Text" - ], + "baseClasses": ["object", "Record", "str", "Text"], "dataType": "ChatInput", "id": "ChatInput-P3fgL" } @@ -886,4 +796,4 @@ "name": "Basic Prompting (Hello, World)", "last_tested_version": "1.0.0a4", "is_component": false -} \ No newline at end of file +} diff --git a/src/backend/base/langflow/initial_setup/starter_projects/Langflow Blog Writter.json b/src/backend/base/langflow/initial_setup/starter_projects/Langflow Blog Writter.json index 178b7a6b3..3161b6937 100644 --- a/src/backend/base/langflow/initial_setup/starter_projects/Langflow Blog Writter.json +++ b/src/backend/base/langflow/initial_setup/starter_projects/Langflow Blog Writter.json @@ -45,9 +45,7 @@ "name": "template", "display_name": "Template", "advanced": false, - "input_types": [ - "Text" - ], + "input_types": ["Text"], "dynamic": false, "info": "", "load_from_db": false, @@ -138,24 +136,14 @@ "is_input": null, "is_output": null, "is_composition": null, - "base_classes": [ - "object", - "Text", - "str" - ], + "base_classes": ["object", "Text", "str"], "name": "", "display_name": "Prompt", "documentation": "", "custom_fields": { - "template": [ - "reference_1", - "reference_2", - "instructions" - ] + "template": ["reference_1", "reference_2", "instructions"] }, - "output_types": [ - "Text" - ], + "output_types": ["Text"], "full_path": null, "field_formatters": {}, "frozen": false, @@ -222,9 +210,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ], + "input_types": ["Text"], "value": [ "https://www.promptingguide.ai/techniques/prompt_chaining" ] @@ -233,17 +219,13 @@ }, "description": "Fetch content from one or more URLs.", "icon": "layout-template", - "base_classes": [ - "Record" - ], + "base_classes": ["Record"], "display_name": "URL", "documentation": "", "custom_fields": { "urls": null }, - "output_types": [ - "Record" - ], + "output_types": ["Record"], "field_formatters": {}, "frozen": false, "field_order": [], @@ -302,9 +284,7 @@ "name": "input_value", "display_name": "Message", "advanced": false, - "input_types": [ - "Text" - ], + "input_types": ["Text"], "dynamic": false, "info": "", "load_from_db": false, @@ -328,9 +308,7 @@ "info": "In case of Message being a Record, this template will be used to convert it to text.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "return_record": { "type": "bool", @@ -362,10 +340,7 @@ "fileTypes": [], "file_path": "", "password": false, - "options": [ - "Machine", - "User" - ], + "options": ["Machine", "User"], "name": "sender", "display_name": "Sender Type", "advanced": true, @@ -373,9 +348,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "sender_name": { "type": "str", @@ -395,9 +368,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "session_id": { "type": "str", @@ -416,20 +387,13 @@ "info": "If provided, the message will be stored in the memory.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "_type": "CustomComponent" }, "description": "Display a chat message in the Playground.", "icon": "ChatOutput", - "base_classes": [ - "Text", - "Record", - "object", - "str" - ], + "base_classes": ["Text", "Record", "object", "str"], "display_name": "Chat Output", "documentation": "", "custom_fields": { @@ -440,10 +404,7 @@ "return_record": null, "record_template": null }, - "output_types": [ - "Text", - "Record" - ], + "output_types": ["Text", "Record"], "field_formatters": {}, "frozen": false, "field_order": [], @@ -483,9 +444,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "code": { "type": "code", @@ -494,7 +453,7 @@ "list": false, "show": true, "multiline": true, - "value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\"},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": [\n \"gpt-4-turbo-2024-04-09\",\n \"gpt-4-turbo-preview\",\n \"gpt-3.5-turbo\",\n \"gpt-4-0125-preview\",\n \"gpt-4-1106-preview\",\n \"gpt-4-vision-preview\",\n \"gpt-3.5-turbo-0125\",\n \"gpt-3.5-turbo-1106\",\n ],\n \"value\": \"gpt-4-turbo-preview\",\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float,\n model_name: str,\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n", + "value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\"},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": MODEL_NAMES,\n \"value\": \"gpt-4-turbo-preview\",\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float,\n model_name: str,\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n", "fileTypes": [], "file_path": "", "password": false, @@ -555,14 +514,10 @@ "file_path": "", "password": false, "options": [ - "gpt-4-turbo-2024-04-09", + "gpt-4-turbo", "gpt-4-turbo-preview", "gpt-3.5-turbo", - "gpt-4-0125-preview", - "gpt-4-1106-preview", - "gpt-4-vision-preview", - "gpt-3.5-turbo-0125", - "gpt-3.5-turbo-1106" + "gpt-3.5-turbo-0125" ], "name": "model_name", "display_name": "Model Name", @@ -571,9 +526,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "openai_api_base": { "type": "str", @@ -592,9 +545,7 @@ "info": "The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\n\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "openai_api_key": { "type": "str", @@ -613,9 +564,7 @@ "info": "The OpenAI API Key to use for the OpenAI model.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ], + "input_types": ["Text"], "value": "" }, "stream": { @@ -654,9 +603,7 @@ "info": "System message to pass to the model.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "temperature": { "type": "float", @@ -687,11 +634,7 @@ }, "description": "Generates text using OpenAI LLMs.", "icon": "OpenAI", - "base_classes": [ - "str", - "Text", - "object" - ], + "base_classes": ["str", "Text", "object"], "display_name": "OpenAI", "documentation": "", "custom_fields": { @@ -705,9 +648,7 @@ "stream": null, "system_message": null }, - "output_types": [ - "Text" - ], + "output_types": ["Text"], "field_formatters": {}, "frozen": false, "field_order": [ @@ -780,28 +721,20 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ], - "value": [ - "https://www.promptingguide.ai/introduction/basics" - ] + "input_types": ["Text"], + "value": ["https://www.promptingguide.ai/introduction/basics"] }, "_type": "CustomComponent" }, "description": "Fetch content from one or more URLs.", "icon": "layout-template", - "base_classes": [ - "Record" - ], + "base_classes": ["Record"], "display_name": "URL", "documentation": "", "custom_fields": { "urls": null }, - "output_types": [ - "Record" - ], + "output_types": ["Record"], "field_formatters": {}, "frozen": false, "field_order": [], @@ -861,10 +794,7 @@ "name": "input_value", "display_name": "Value", "advanced": false, - "input_types": [ - "Record", - "Text" - ], + "input_types": ["Record", "Text"], "dynamic": false, "info": "Text or Record to be passed as input.", "load_from_db": false, @@ -888,28 +818,20 @@ "info": "Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "_type": "CustomComponent" }, "description": "Get text inputs from the Playground.", "icon": "type", - "base_classes": [ - "object", - "Text", - "str" - ], + "base_classes": ["object", "Text", "str"], "display_name": "Instructions", "documentation": "", "custom_fields": { "input_value": null, "record_template": null }, - "output_types": [ - "Text" - ], + "output_types": ["Text"], "field_formatters": {}, "frozen": false, "field_order": [], @@ -938,18 +860,11 @@ "targetHandle": { "fieldName": "reference_2", "id": "Prompt-Rse03", - "inputTypes": [ - "Document", - "BaseOutputParser", - "Record", - "Text" - ], + "inputTypes": ["Document", "BaseOutputParser", "Record", "Text"], "type": "str" }, "sourceHandle": { - "baseClasses": [ - "Record" - ], + "baseClasses": ["Record"], "dataType": "URL", "id": "URL-HYPkR" } @@ -969,17 +884,11 @@ "targetHandle": { "fieldName": "input_value", "id": "ChatOutput-JPlxl", - "inputTypes": [ - "Text" - ], + "inputTypes": ["Text"], "type": "str" }, "sourceHandle": { - "baseClasses": [ - "str", - "Text", - "object" - ], + "baseClasses": ["str", "Text", "object"], "dataType": "OpenAIModel", "id": "OpenAIModel-gi29P" } @@ -999,18 +908,11 @@ "targetHandle": { "fieldName": "reference_1", "id": "Prompt-Rse03", - "inputTypes": [ - "Document", - "BaseOutputParser", - "Record", - "Text" - ], + "inputTypes": ["Document", "BaseOutputParser", "Record", "Text"], "type": "str" }, "sourceHandle": { - "baseClasses": [ - "Record" - ], + "baseClasses": ["Record"], "dataType": "URL", "id": "URL-2cX90" } @@ -1030,20 +932,11 @@ "targetHandle": { "fieldName": "instructions", "id": "Prompt-Rse03", - "inputTypes": [ - "Document", - "BaseOutputParser", - "Record", - "Text" - ], + "inputTypes": ["Document", "BaseOutputParser", "Record", "Text"], "type": "str" }, "sourceHandle": { - "baseClasses": [ - "object", - "Text", - "str" - ], + "baseClasses": ["object", "Text", "str"], "dataType": "TextInput", "id": "TextInput-og8Or" } @@ -1063,17 +956,11 @@ "targetHandle": { "fieldName": "input_value", "id": "OpenAIModel-gi29P", - "inputTypes": [ - "Text" - ], + "inputTypes": ["Text"], "type": "str" }, "sourceHandle": { - "baseClasses": [ - "object", - "Text", - "str" - ], + "baseClasses": ["object", "Text", "str"], "dataType": "Prompt", "id": "Prompt-Rse03" } @@ -1096,4 +983,4 @@ "name": "Blog Writer", "last_tested_version": "1.0.0a0", "is_component": false -} \ No newline at end of file +} diff --git a/src/backend/base/langflow/initial_setup/starter_projects/Langflow Document QA.json b/src/backend/base/langflow/initial_setup/starter_projects/Langflow Document QA.json index c8713d49e..94156919a 100644 --- a/src/backend/base/langflow/initial_setup/starter_projects/Langflow Document QA.json +++ b/src/backend/base/langflow/initial_setup/starter_projects/Langflow Document QA.json @@ -45,9 +45,7 @@ "name": "template", "display_name": "Template", "advanced": false, - "input_types": [ - "Text" - ], + "input_types": ["Text"], "dynamic": false, "info": "", "load_from_db": false, @@ -112,23 +110,14 @@ "is_input": null, "is_output": null, "is_composition": null, - "base_classes": [ - "object", - "str", - "Text" - ], + "base_classes": ["object", "str", "Text"], "name": "", "display_name": "Prompt", "documentation": "", "custom_fields": { - "template": [ - "Document", - "Question" - ] + "template": ["Document", "Question"] }, - "output_types": [ - "Text" - ], + "output_types": ["Text"], "full_path": null, "field_formatters": {}, "frozen": false, @@ -231,18 +220,14 @@ "_type": "CustomComponent" }, "description": "A generic file loader.", - "base_classes": [ - "Record" - ], + "base_classes": ["Record"], "display_name": "Files", "documentation": "", "custom_fields": { "path": null, "silent_errors": null }, - "output_types": [ - "Record" - ], + "output_types": ["Record"], "field_formatters": {}, "frozen": false, "field_order": [], @@ -338,10 +323,7 @@ "fileTypes": [], "file_path": "", "password": false, - "options": [ - "Machine", - "User" - ], + "options": ["Machine", "User"], "name": "sender", "display_name": "Sender Type", "advanced": true, @@ -349,9 +331,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "sender_name": { "type": "str", @@ -371,9 +351,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "session_id": { "type": "str", @@ -392,20 +370,13 @@ "info": "If provided, the message will be stored in the memory.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "_type": "CustomComponent" }, "description": "Get chat inputs from the Playground.", "icon": "ChatInput", - "base_classes": [ - "str", - "Record", - "Text", - "object" - ], + "base_classes": ["str", "Record", "Text", "object"], "display_name": "Chat Input", "documentation": "", "custom_fields": { @@ -415,10 +386,7 @@ "session_id": null, "return_record": null }, - "output_types": [ - "Text", - "Record" - ], + "output_types": ["Text", "Record"], "field_formatters": {}, "frozen": false, "field_order": [], @@ -477,9 +445,7 @@ "name": "input_value", "display_name": "Message", "advanced": false, - "input_types": [ - "Text" - ], + "input_types": ["Text"], "dynamic": false, "info": "", "load_from_db": false, @@ -515,10 +481,7 @@ "fileTypes": [], "file_path": "", "password": false, - "options": [ - "Machine", - "User" - ], + "options": ["Machine", "User"], "name": "sender", "display_name": "Sender Type", "advanced": true, @@ -526,9 +489,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "sender_name": { "type": "str", @@ -548,9 +509,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "session_id": { "type": "str", @@ -569,20 +528,13 @@ "info": "If provided, the message will be stored in the memory.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "_type": "CustomComponent" }, "description": "Display a chat message in the Playground.", "icon": "ChatOutput", - "base_classes": [ - "str", - "Record", - "Text", - "object" - ], + "base_classes": ["str", "Record", "Text", "object"], "display_name": "Chat Output", "documentation": "", "custom_fields": { @@ -592,10 +544,7 @@ "session_id": null, "return_record": null }, - "output_types": [ - "Text", - "Record" - ], + "output_types": ["Text", "Record"], "field_formatters": {}, "frozen": false, "field_order": [], @@ -640,9 +589,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "code": { "type": "code", @@ -651,7 +598,7 @@ "list": false, "show": true, "multiline": true, - "value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\"},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": [\n \"gpt-4-turbo-2024-04-09\",\n \"gpt-4-turbo-preview\",\n \"gpt-3.5-turbo\",\n \"gpt-4-0125-preview\",\n \"gpt-4-1106-preview\",\n \"gpt-4-vision-preview\",\n \"gpt-3.5-turbo-0125\",\n \"gpt-3.5-turbo-1106\",\n ],\n \"value\": \"gpt-4-turbo-preview\",\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float,\n model_name: str,\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n", + "value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\"},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": MODEL_NAMES,\n \"value\": \"gpt-4-turbo-preview\",\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float,\n model_name: str,\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n", "fileTypes": [], "file_path": "", "password": false, @@ -712,14 +659,10 @@ "file_path": "", "password": false, "options": [ - "gpt-4-turbo-2024-04-09", + "gpt-4-turbo", "gpt-4-turbo-preview", "gpt-3.5-turbo", - "gpt-4-0125-preview", - "gpt-4-1106-preview", - "gpt-4-vision-preview", - "gpt-3.5-turbo-0125", - "gpt-3.5-turbo-1106" + "gpt-3.5-turbo-0125" ], "name": "model_name", "display_name": "Model Name", @@ -728,9 +671,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "openai_api_base": { "type": "str", @@ -749,9 +690,7 @@ "info": "The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\n\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "openai_api_key": { "type": "str", @@ -770,9 +709,7 @@ "info": "The OpenAI API Key to use for the OpenAI model.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ], + "input_types": ["Text"], "value": "" }, "stream": { @@ -811,9 +748,7 @@ "info": "System message to pass to the model.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "temperature": { "type": "float", @@ -844,11 +779,7 @@ }, "description": "Generates text using OpenAI LLMs.", "icon": "OpenAI", - "base_classes": [ - "object", - "str", - "Text" - ], + "base_classes": ["object", "str", "Text"], "display_name": "OpenAI", "documentation": "", "custom_fields": { @@ -862,9 +793,7 @@ "stream": null, "system_message": null }, - "output_types": [ - "Text" - ], + "output_types": ["Text"], "field_formatters": {}, "frozen": false, "field_order": [ @@ -902,21 +831,11 @@ "targetHandle": { "fieldName": "Question", "id": "Prompt-tHwPf", - "inputTypes": [ - "Document", - "BaseOutputParser", - "Record", - "Text" - ], + "inputTypes": ["Document", "BaseOutputParser", "Record", "Text"], "type": "str" }, "sourceHandle": { - "baseClasses": [ - "str", - "Record", - "Text", - "object" - ], + "baseClasses": ["str", "Record", "Text", "object"], "dataType": "ChatInput", "id": "ChatInput-MsSJ9" } @@ -936,18 +855,11 @@ "targetHandle": { "fieldName": "Document", "id": "Prompt-tHwPf", - "inputTypes": [ - "Document", - "BaseOutputParser", - "Record", - "Text" - ], + "inputTypes": ["Document", "BaseOutputParser", "Record", "Text"], "type": "str" }, "sourceHandle": { - "baseClasses": [ - "Record" - ], + "baseClasses": ["Record"], "dataType": "File", "id": "File-6TEsD" } @@ -967,17 +879,11 @@ "targetHandle": { "fieldName": "input_value", "id": "OpenAIModel-Bt067", - "inputTypes": [ - "Text" - ], + "inputTypes": ["Text"], "type": "str" }, "sourceHandle": { - "baseClasses": [ - "object", - "str", - "Text" - ], + "baseClasses": ["object", "str", "Text"], "dataType": "Prompt", "id": "Prompt-tHwPf" } @@ -997,17 +903,11 @@ "targetHandle": { "fieldName": "input_value", "id": "ChatOutput-F5Awj", - "inputTypes": [ - "Text" - ], + "inputTypes": ["Text"], "type": "str" }, "sourceHandle": { - "baseClasses": [ - "object", - "str", - "Text" - ], + "baseClasses": ["object", "str", "Text"], "dataType": "OpenAIModel", "id": "OpenAIModel-Bt067" } @@ -1029,4 +929,4 @@ "name": "Document QA", "last_tested_version": "1.0.0a0", "is_component": false -} \ No newline at end of file +} diff --git a/src/backend/base/langflow/initial_setup/starter_projects/Langflow Memory Conversation.json b/src/backend/base/langflow/initial_setup/starter_projects/Langflow Memory Conversation.json index 5cee452e4..c477eb0e8 100644 --- a/src/backend/base/langflow/initial_setup/starter_projects/Langflow Memory Conversation.json +++ b/src/backend/base/langflow/initial_setup/starter_projects/Langflow Memory Conversation.json @@ -83,10 +83,7 @@ "fileTypes": [], "file_path": "", "password": false, - "options": [ - "Machine", - "User" - ], + "options": ["Machine", "User"], "name": "sender", "display_name": "Sender Type", "advanced": true, @@ -94,9 +91,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "sender_name": { "type": "str", @@ -116,9 +111,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "session_id": { "type": "str", @@ -137,21 +130,14 @@ "info": "If provided, the message will be stored in the memory.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ], + "input_types": ["Text"], "value": "MySessionID" }, "_type": "CustomComponent" }, "description": "Get chat inputs from the Playground.", "icon": "ChatInput", - "base_classes": [ - "Text", - "object", - "Record", - "str" - ], + "base_classes": ["Text", "object", "Record", "str"], "display_name": "Chat Input", "documentation": "", "custom_fields": { @@ -161,10 +147,7 @@ "session_id": null, "return_record": null }, - "output_types": [ - "Text", - "Record" - ], + "output_types": ["Text", "Record"], "field_formatters": {}, "frozen": false, "field_order": [], @@ -223,9 +206,7 @@ "name": "input_value", "display_name": "Message", "advanced": false, - "input_types": [ - "Text" - ], + "input_types": ["Text"], "dynamic": false, "info": "", "load_from_db": false, @@ -261,10 +242,7 @@ "fileTypes": [], "file_path": "", "password": false, - "options": [ - "Machine", - "User" - ], + "options": ["Machine", "User"], "name": "sender", "display_name": "Sender Type", "advanced": true, @@ -272,9 +250,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "sender_name": { "type": "str", @@ -294,9 +270,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "session_id": { "type": "str", @@ -315,21 +289,14 @@ "info": "If provided, the message will be stored in the memory.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ], + "input_types": ["Text"], "value": "MySessionID" }, "_type": "CustomComponent" }, "description": "Display a chat message in the Playground.", "icon": "ChatOutput", - "base_classes": [ - "Text", - "object", - "Record", - "str" - ], + "base_classes": ["Text", "object", "Record", "str"], "display_name": "Chat Output", "documentation": "", "custom_fields": { @@ -339,10 +306,7 @@ "session_id": null, "return_record": null }, - "output_types": [ - "Text", - "Record" - ], + "output_types": ["Text", "Record"], "field_formatters": {}, "frozen": false, "field_order": [], @@ -418,10 +382,7 @@ "fileTypes": [], "file_path": "", "password": false, - "options": [ - "Ascending", - "Descending" - ], + "options": ["Ascending", "Descending"], "name": "order", "display_name": "Order", "advanced": true, @@ -429,9 +390,7 @@ "info": "Order of the messages.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "record_template": { "type": "str", @@ -451,9 +410,7 @@ "info": "Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "sender": { "type": "str", @@ -466,11 +423,7 @@ "fileTypes": [], "file_path": "", "password": false, - "options": [ - "Machine", - "User", - "Machine and User" - ], + "options": ["Machine", "User", "Machine and User"], "name": "sender", "display_name": "Sender Type", "advanced": false, @@ -478,9 +431,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "sender_name": { "type": "str", @@ -499,9 +450,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "session_id": { "type": "str", @@ -516,9 +465,7 @@ "name": "session_id", "display_name": "Session ID", "advanced": false, - "input_types": [ - "Text" - ], + "input_types": ["Text"], "dynamic": false, "info": "Session ID of the chat history.", "load_from_db": false, @@ -529,11 +476,7 @@ }, "description": "Retrieves stored chat messages given a specific Session ID.", "icon": "history", - "base_classes": [ - "str", - "Text", - "object" - ], + "base_classes": ["str", "Text", "object"], "display_name": "Chat Memory", "documentation": "", "custom_fields": { @@ -544,9 +487,7 @@ "order": null, "record_template": null }, - "output_types": [ - "Text" - ], + "output_types": ["Text"], "field_formatters": {}, "frozen": false, "field_order": [], @@ -608,9 +549,7 @@ "name": "template", "display_name": "Template", "advanced": false, - "input_types": [ - "Text" - ], + "input_types": ["Text"], "dynamic": false, "info": "", "load_from_db": false, @@ -675,23 +614,14 @@ "is_input": null, "is_output": null, "is_composition": null, - "base_classes": [ - "Text", - "str", - "object" - ], + "base_classes": ["Text", "str", "object"], "name": "", "display_name": "Prompt", "documentation": "", "custom_fields": { - "template": [ - "context", - "user_message" - ] + "template": ["context", "user_message"] }, - "output_types": [ - "Text" - ], + "output_types": ["Text"], "full_path": null, "field_formatters": {}, "frozen": false, @@ -740,9 +670,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "code": { "type": "code", @@ -751,7 +679,7 @@ "list": false, "show": true, "multiline": true, - "value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\"},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": [\n \"gpt-4-turbo-2024-04-09\",\n \"gpt-4-turbo-preview\",\n \"gpt-3.5-turbo\",\n \"gpt-4-0125-preview\",\n \"gpt-4-1106-preview\",\n \"gpt-4-vision-preview\",\n \"gpt-3.5-turbo-0125\",\n \"gpt-3.5-turbo-1106\",\n ],\n \"value\": \"gpt-4-turbo-preview\",\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float,\n model_name: str,\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n", + "value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\"},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": MODEL_NAMES,\n \"value\": \"gpt-4-turbo-preview\",\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float,\n model_name: str,\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n", "fileTypes": [], "file_path": "", "password": false, @@ -812,14 +740,10 @@ "file_path": "", "password": false, "options": [ - "gpt-4-turbo-2024-04-09", + "gpt-4-turbo", "gpt-4-turbo-preview", "gpt-3.5-turbo", - "gpt-4-0125-preview", - "gpt-4-1106-preview", - "gpt-4-vision-preview", - "gpt-3.5-turbo-0125", - "gpt-3.5-turbo-1106" + "gpt-3.5-turbo-0125" ], "name": "model_name", "display_name": "Model Name", @@ -828,9 +752,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "openai_api_base": { "type": "str", @@ -849,9 +771,7 @@ "info": "The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\n\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "openai_api_key": { "type": "str", @@ -870,9 +790,7 @@ "info": "The OpenAI API Key to use for the OpenAI model.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ], + "input_types": ["Text"], "value": "" }, "stream": { @@ -911,9 +829,7 @@ "info": "System message to pass to the model.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "temperature": { "type": "float", @@ -944,11 +860,7 @@ }, "description": "Generates text using OpenAI LLMs.", "icon": "OpenAI", - "base_classes": [ - "str", - "object", - "Text" - ], + "base_classes": ["str", "object", "Text"], "display_name": "OpenAI", "documentation": "", "custom_fields": { @@ -962,9 +874,7 @@ "stream": null, "system_message": null }, - "output_types": [ - "Text" - ], + "output_types": ["Text"], "field_formatters": {}, "frozen": false, "field_order": [ @@ -1016,10 +926,7 @@ "name": "input_value", "display_name": "Value", "advanced": false, - "input_types": [ - "Record", - "Text" - ], + "input_types": ["Record", "Text"], "dynamic": false, "info": "Text or Record to be passed as output.", "load_from_db": false, @@ -1061,28 +968,20 @@ "info": "Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "_type": "CustomComponent" }, "description": "Display a text output in the Playground.", "icon": "type", - "base_classes": [ - "str", - "object", - "Text" - ], + "base_classes": ["str", "object", "Text"], "display_name": "Inspect Memory", "documentation": "", "custom_fields": { "input_value": null, "record_template": null }, - "output_types": [ - "Text" - ], + "output_types": ["Text"], "field_formatters": {}, "frozen": false, "field_order": [], @@ -1111,19 +1010,10 @@ "fieldName": "context", "type": "str", "id": "Prompt-ODkUx", - "inputTypes": [ - "Document", - "BaseOutputParser", - "Record", - "Text" - ] + "inputTypes": ["Document", "BaseOutputParser", "Record", "Text"] }, "sourceHandle": { - "baseClasses": [ - "str", - "Text", - "object" - ], + "baseClasses": ["str", "Text", "object"], "dataType": "MemoryComponent", "id": "MemoryComponent-cdA1J" } @@ -1145,20 +1035,10 @@ "fieldName": "user_message", "type": "str", "id": "Prompt-ODkUx", - "inputTypes": [ - "Document", - "BaseOutputParser", - "Record", - "Text" - ] + "inputTypes": ["Document", "BaseOutputParser", "Record", "Text"] }, "sourceHandle": { - "baseClasses": [ - "Text", - "object", - "Record", - "str" - ], + "baseClasses": ["Text", "object", "Record", "str"], "dataType": "ChatInput", "id": "ChatInput-t7F8v" } @@ -1179,17 +1059,11 @@ "targetHandle": { "fieldName": "input_value", "id": "OpenAIModel-9RykF", - "inputTypes": [ - "Text" - ], + "inputTypes": ["Text"], "type": "str" }, "sourceHandle": { - "baseClasses": [ - "Text", - "str", - "object" - ], + "baseClasses": ["Text", "str", "object"], "dataType": "Prompt", "id": "Prompt-ODkUx" } @@ -1209,17 +1083,11 @@ "targetHandle": { "fieldName": "input_value", "id": "ChatOutput-P1jEe", - "inputTypes": [ - "Text" - ], + "inputTypes": ["Text"], "type": "str" }, "sourceHandle": { - "baseClasses": [ - "str", - "object", - "Text" - ], + "baseClasses": ["str", "object", "Text"], "dataType": "OpenAIModel", "id": "OpenAIModel-9RykF" } @@ -1239,18 +1107,11 @@ "targetHandle": { "fieldName": "input_value", "id": "TextOutput-vrs6T", - "inputTypes": [ - "Record", - "Text" - ], + "inputTypes": ["Record", "Text"], "type": "str" }, "sourceHandle": { - "baseClasses": [ - "str", - "Text", - "object" - ], + "baseClasses": ["str", "Text", "object"], "dataType": "MemoryComponent", "id": "MemoryComponent-cdA1J" } @@ -1272,4 +1133,4 @@ "name": "Memory Chatbot", "last_tested_version": "1.0.0a0", "is_component": false -} \ No newline at end of file +} diff --git a/src/backend/base/langflow/initial_setup/starter_projects/Langflow Prompt Chaining.json b/src/backend/base/langflow/initial_setup/starter_projects/Langflow Prompt Chaining.json index e4f6b2d2c..7f56faaf0 100644 --- a/src/backend/base/langflow/initial_setup/starter_projects/Langflow Prompt Chaining.json +++ b/src/backend/base/langflow/initial_setup/starter_projects/Langflow Prompt Chaining.json @@ -45,9 +45,7 @@ "name": "template", "display_name": "Template", "advanced": false, - "input_types": [ - "Text" - ], + "input_types": ["Text"], "dynamic": false, "info": "", "load_from_db": false, @@ -86,22 +84,14 @@ "is_input": null, "is_output": null, "is_composition": null, - "base_classes": [ - "object", - "str", - "Text" - ], + "base_classes": ["object", "str", "Text"], "name": "", "display_name": "Prompt", "documentation": "", "custom_fields": { - "template": [ - "document" - ] + "template": ["document"] }, - "output_types": [ - "Text" - ], + "output_types": ["Text"], "full_path": null, "field_formatters": {}, "frozen": false, @@ -165,9 +155,7 @@ "name": "template", "display_name": "Template", "advanced": false, - "input_types": [ - "Text" - ], + "input_types": ["Text"], "dynamic": false, "info": "", "load_from_db": false, @@ -206,22 +194,14 @@ "is_input": null, "is_output": null, "is_composition": null, - "base_classes": [ - "object", - "str", - "Text" - ], + "base_classes": ["object", "str", "Text"], "name": "", "display_name": "Prompt", "documentation": "", "custom_fields": { - "template": [ - "summary" - ] + "template": ["summary"] }, - "output_types": [ - "Text" - ], + "output_types": ["Text"], "full_path": null, "field_formatters": {}, "frozen": false, @@ -280,9 +260,7 @@ "name": "input_value", "display_name": "Message", "advanced": false, - "input_types": [ - "Text" - ], + "input_types": ["Text"], "dynamic": false, "info": "", "load_from_db": false, @@ -306,9 +284,7 @@ "info": "In case of Message being a Record, this template will be used to convert it to text.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "return_record": { "type": "bool", @@ -340,10 +316,7 @@ "fileTypes": [], "file_path": "", "password": false, - "options": [ - "Machine", - "User" - ], + "options": ["Machine", "User"], "name": "sender", "display_name": "Sender Type", "advanced": true, @@ -351,9 +324,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "sender_name": { "type": "str", @@ -373,9 +344,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "session_id": { "type": "str", @@ -394,20 +363,13 @@ "info": "If provided, the message will be stored in the memory.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "_type": "CustomComponent" }, "description": "Display a chat message in the Playground.", "icon": "ChatOutput", - "base_classes": [ - "object", - "Record", - "Text", - "str" - ], + "base_classes": ["object", "Record", "Text", "str"], "display_name": "Chat Output", "documentation": "", "custom_fields": { @@ -418,10 +380,7 @@ "return_record": null, "record_template": null }, - "output_types": [ - "Text", - "Record" - ], + "output_types": ["Text", "Record"], "field_formatters": {}, "frozen": false, "field_order": [], @@ -476,9 +435,7 @@ "name": "input_value", "display_name": "Message", "advanced": false, - "input_types": [ - "Text" - ], + "input_types": ["Text"], "dynamic": false, "info": "", "load_from_db": false, @@ -502,9 +459,7 @@ "info": "In case of Message being a Record, this template will be used to convert it to text.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "return_record": { "type": "bool", @@ -536,10 +491,7 @@ "fileTypes": [], "file_path": "", "password": false, - "options": [ - "Machine", - "User" - ], + "options": ["Machine", "User"], "name": "sender", "display_name": "Sender Type", "advanced": true, @@ -547,9 +499,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "sender_name": { "type": "str", @@ -569,9 +519,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "session_id": { "type": "str", @@ -590,20 +538,13 @@ "info": "If provided, the message will be stored in the memory.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "_type": "CustomComponent" }, "description": "Display a chat message in the Playground.", "icon": "ChatOutput", - "base_classes": [ - "object", - "Record", - "Text", - "str" - ], + "base_classes": ["object", "Record", "Text", "str"], "display_name": "Chat Output", "documentation": "", "custom_fields": { @@ -614,10 +555,7 @@ "return_record": null, "record_template": null }, - "output_types": [ - "Text", - "Record" - ], + "output_types": ["Text", "Record"], "field_formatters": {}, "frozen": false, "field_order": [], @@ -672,10 +610,7 @@ "name": "input_value", "display_name": "Value", "advanced": false, - "input_types": [ - "Record", - "Text" - ], + "input_types": ["Record", "Text"], "dynamic": false, "info": "Text or Record to be passed as input.", "load_from_db": false, @@ -699,28 +634,20 @@ "info": "Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "_type": "CustomComponent" }, "description": "Get text inputs from the Playground.", "icon": "type", - "base_classes": [ - "str", - "Text", - "object" - ], + "base_classes": ["str", "Text", "object"], "display_name": "Text Input", "documentation": "", "custom_fields": { "input_value": null, "record_template": null }, - "output_types": [ - "Text" - ], + "output_types": ["Text"], "field_formatters": {}, "frozen": false, "field_order": [], @@ -762,10 +689,7 @@ "name": "input_value", "display_name": "Value", "advanced": false, - "input_types": [ - "Record", - "Text" - ], + "input_types": ["Record", "Text"], "dynamic": false, "info": "Text or Record to be passed as output.", "load_from_db": false, @@ -807,28 +731,20 @@ "info": "Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "_type": "CustomComponent" }, "description": "Display a text output in the Playground.", "icon": "type", - "base_classes": [ - "str", - "Text", - "object" - ], + "base_classes": ["str", "Text", "object"], "display_name": "First Prompt", "documentation": "", "custom_fields": { "input_value": null, "record_template": null }, - "output_types": [ - "Text" - ], + "output_types": ["Text"], "field_formatters": {}, "frozen": false, "field_order": [], @@ -873,9 +789,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "code": { "type": "code", @@ -884,7 +798,7 @@ "list": false, "show": true, "multiline": true, - "value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\"},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": [\n \"gpt-4-turbo-2024-04-09\",\n \"gpt-4-turbo-preview\",\n \"gpt-3.5-turbo\",\n \"gpt-4-0125-preview\",\n \"gpt-4-1106-preview\",\n \"gpt-4-vision-preview\",\n \"gpt-3.5-turbo-0125\",\n \"gpt-3.5-turbo-1106\",\n ],\n \"value\": \"gpt-4-turbo-preview\",\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float,\n model_name: str,\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n", + "value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\"},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": MODEL_NAMES,\n \"value\": \"gpt-4-turbo-preview\",\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float,\n model_name: str,\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n", "fileTypes": [], "file_path": "", "password": false, @@ -945,14 +859,10 @@ "file_path": "", "password": false, "options": [ - "gpt-4-turbo-2024-04-09", + "gpt-4-turbo", "gpt-4-turbo-preview", "gpt-3.5-turbo", - "gpt-4-0125-preview", - "gpt-4-1106-preview", - "gpt-4-vision-preview", - "gpt-3.5-turbo-0125", - "gpt-3.5-turbo-1106" + "gpt-3.5-turbo-0125" ], "name": "model_name", "display_name": "Model Name", @@ -961,9 +871,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "openai_api_base": { "type": "str", @@ -982,9 +890,7 @@ "info": "The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\n\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "openai_api_key": { "type": "str", @@ -1003,9 +909,7 @@ "info": "The OpenAI API Key to use for the OpenAI model.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ], + "input_types": ["Text"], "value": "" }, "stream": { @@ -1044,9 +948,7 @@ "info": "System message to pass to the model.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "temperature": { "type": "float", @@ -1077,11 +979,7 @@ }, "description": "Generates text using OpenAI LLMs.", "icon": "OpenAI", - "base_classes": [ - "str", - "Text", - "object" - ], + "base_classes": ["str", "Text", "object"], "display_name": "OpenAI", "documentation": "", "custom_fields": { @@ -1095,9 +993,7 @@ "stream": null, "system_message": null }, - "output_types": [ - "Text" - ], + "output_types": ["Text"], "field_formatters": {}, "frozen": false, "field_order": [ @@ -1149,10 +1045,7 @@ "name": "input_value", "display_name": "Value", "advanced": false, - "input_types": [ - "Record", - "Text" - ], + "input_types": ["Record", "Text"], "dynamic": false, "info": "Text or Record to be passed as output.", "load_from_db": false, @@ -1194,28 +1087,20 @@ "info": "Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "_type": "CustomComponent" }, "description": "Display a text output in the Playground.", "icon": "type", - "base_classes": [ - "str", - "Text", - "object" - ], + "base_classes": ["str", "Text", "object"], "display_name": "Second Prompt", "documentation": "", "custom_fields": { "input_value": null, "record_template": null }, - "output_types": [ - "Text" - ], + "output_types": ["Text"], "field_formatters": {}, "frozen": false, "field_order": [], @@ -1260,9 +1145,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "code": { "type": "code", @@ -1271,7 +1154,7 @@ "list": false, "show": true, "multiline": true, - "value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\"},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": [\n \"gpt-4-turbo-2024-04-09\",\n \"gpt-4-turbo-preview\",\n \"gpt-3.5-turbo\",\n \"gpt-4-0125-preview\",\n \"gpt-4-1106-preview\",\n \"gpt-4-vision-preview\",\n \"gpt-3.5-turbo-0125\",\n \"gpt-3.5-turbo-1106\",\n ],\n \"value\": \"gpt-4-turbo-preview\",\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float,\n model_name: str,\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n", + "value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\"},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": MODEL_NAMES,\n \"value\": \"gpt-4-turbo-preview\",\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float,\n model_name: str,\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n", "fileTypes": [], "file_path": "", "password": false, @@ -1332,14 +1215,10 @@ "file_path": "", "password": false, "options": [ - "gpt-4-turbo-2024-04-09", + "gpt-4-turbo", "gpt-4-turbo-preview", "gpt-3.5-turbo", - "gpt-4-0125-preview", - "gpt-4-1106-preview", - "gpt-4-vision-preview", - "gpt-3.5-turbo-0125", - "gpt-3.5-turbo-1106" + "gpt-3.5-turbo-0125" ], "name": "model_name", "display_name": "Model Name", @@ -1348,9 +1227,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "openai_api_base": { "type": "str", @@ -1369,9 +1246,7 @@ "info": "The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\n\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "openai_api_key": { "type": "str", @@ -1390,9 +1265,7 @@ "info": "The OpenAI API Key to use for the OpenAI model.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ], + "input_types": ["Text"], "value": "" }, "stream": { @@ -1431,9 +1304,7 @@ "info": "System message to pass to the model.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "temperature": { "type": "float", @@ -1464,11 +1335,7 @@ }, "description": "Generates text using OpenAI LLMs.", "icon": "OpenAI", - "base_classes": [ - "str", - "Text", - "object" - ], + "base_classes": ["str", "Text", "object"], "display_name": "OpenAI", "documentation": "", "custom_fields": { @@ -1482,9 +1349,7 @@ "stream": null, "system_message": null }, - "output_types": [ - "Text" - ], + "output_types": ["Text"], "field_formatters": {}, "frozen": false, "field_order": [ @@ -1522,20 +1387,11 @@ "targetHandle": { "fieldName": "document", "id": "Prompt-amqBu", - "inputTypes": [ - "Document", - "BaseOutputParser", - "Record", - "Text" - ], + "inputTypes": ["Document", "BaseOutputParser", "Record", "Text"], "type": "str" }, "sourceHandle": { - "baseClasses": [ - "str", - "Text", - "object" - ], + "baseClasses": ["str", "Text", "object"], "dataType": "TextInput", "id": "TextInput-sptaH" } @@ -1555,18 +1411,11 @@ "targetHandle": { "fieldName": "input_value", "id": "TextOutput-2MS4a", - "inputTypes": [ - "Record", - "Text" - ], + "inputTypes": ["Record", "Text"], "type": "str" }, "sourceHandle": { - "baseClasses": [ - "object", - "str", - "Text" - ], + "baseClasses": ["object", "str", "Text"], "dataType": "Prompt", "id": "Prompt-amqBu" } @@ -1586,17 +1435,11 @@ "targetHandle": { "fieldName": "input_value", "id": "OpenAIModel-uYXZJ", - "inputTypes": [ - "Text" - ], + "inputTypes": ["Text"], "type": "str" }, "sourceHandle": { - "baseClasses": [ - "object", - "str", - "Text" - ], + "baseClasses": ["object", "str", "Text"], "dataType": "Prompt", "id": "Prompt-amqBu" } @@ -1616,20 +1459,11 @@ "targetHandle": { "fieldName": "summary", "id": "Prompt-gTNiz", - "inputTypes": [ - "Document", - "BaseOutputParser", - "Record", - "Text" - ], + "inputTypes": ["Document", "BaseOutputParser", "Record", "Text"], "type": "str" }, "sourceHandle": { - "baseClasses": [ - "str", - "Text", - "object" - ], + "baseClasses": ["str", "Text", "object"], "dataType": "OpenAIModel", "id": "OpenAIModel-uYXZJ" } @@ -1649,17 +1483,11 @@ "targetHandle": { "fieldName": "input_value", "id": "ChatOutput-EJkG3", - "inputTypes": [ - "Text" - ], + "inputTypes": ["Text"], "type": "str" }, "sourceHandle": { - "baseClasses": [ - "str", - "Text", - "object" - ], + "baseClasses": ["str", "Text", "object"], "dataType": "OpenAIModel", "id": "OpenAIModel-uYXZJ" } @@ -1679,18 +1507,11 @@ "targetHandle": { "fieldName": "input_value", "id": "TextOutput-MUDOR", - "inputTypes": [ - "Record", - "Text" - ], + "inputTypes": ["Record", "Text"], "type": "str" }, "sourceHandle": { - "baseClasses": [ - "object", - "str", - "Text" - ], + "baseClasses": ["object", "str", "Text"], "dataType": "Prompt", "id": "Prompt-gTNiz" } @@ -1710,17 +1531,11 @@ "targetHandle": { "fieldName": "input_value", "id": "OpenAIModel-XawYB", - "inputTypes": [ - "Text" - ], + "inputTypes": ["Text"], "type": "str" }, "sourceHandle": { - "baseClasses": [ - "object", - "str", - "Text" - ], + "baseClasses": ["object", "str", "Text"], "dataType": "Prompt", "id": "Prompt-gTNiz" } @@ -1740,17 +1555,11 @@ "targetHandle": { "fieldName": "input_value", "id": "ChatOutput-DNmvg", - "inputTypes": [ - "Text" - ], + "inputTypes": ["Text"], "type": "str" }, "sourceHandle": { - "baseClasses": [ - "str", - "Text", - "object" - ], + "baseClasses": ["str", "Text", "object"], "dataType": "OpenAIModel", "id": "OpenAIModel-XawYB" } @@ -1772,4 +1581,4 @@ "name": "Prompt Chaining", "last_tested_version": "1.0.0a0", "is_component": false -} \ No newline at end of file +} diff --git a/src/backend/base/langflow/initial_setup/starter_projects/VectorStore-RAG-Flows.json b/src/backend/base/langflow/initial_setup/starter_projects/VectorStore-RAG-Flows.json index 85fcd0b5b..b0f1ad3b1 100644 --- a/src/backend/base/langflow/initial_setup/starter_projects/VectorStore-RAG-Flows.json +++ b/src/backend/base/langflow/initial_setup/starter_projects/VectorStore-RAG-Flows.json @@ -81,10 +81,7 @@ "fileTypes": [], "file_path": "", "password": false, - "options": [ - "Machine", - "User" - ], + "options": ["Machine", "User"], "name": "sender", "display_name": "Sender Type", "advanced": true, @@ -92,9 +89,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "sender_name": { "type": "str", @@ -114,9 +109,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "session_id": { "type": "str", @@ -135,20 +128,13 @@ "info": "If provided, the message will be stored in the memory.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "_type": "CustomComponent" }, "description": "Get chat inputs from the Playground.", "icon": "ChatInput", - "base_classes": [ - "Text", - "str", - "object", - "Record" - ], + "base_classes": ["Text", "str", "object", "Record"], "display_name": "Chat Input", "documentation": "", "custom_fields": { @@ -158,10 +144,7 @@ "session_id": null, "return_record": null }, - "output_types": [ - "Text", - "Record" - ], + "output_types": ["Text", "Record"], "field_formatters": {}, "frozen": false, "field_order": [], @@ -198,10 +181,7 @@ "name": "input_value", "display_name": "Value", "advanced": false, - "input_types": [ - "Record", - "Text" - ], + "input_types": ["Record", "Text"], "dynamic": false, "info": "Text or Record to be passed as output.", "load_from_db": false, @@ -243,28 +223,20 @@ "info": "Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "_type": "CustomComponent" }, "description": "Display a text output in the Playground.", "icon": "type", - "base_classes": [ - "object", - "Text", - "str" - ], + "base_classes": ["object", "Text", "str"], "display_name": "Extracted Chunks", "documentation": "", "custom_fields": { "input_value": null, "record_template": null }, - "output_types": [ - "Text" - ], + "output_types": ["Text"], "field_formatters": {}, "frozen": false, "field_order": [], @@ -310,9 +282,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "chunk_size": { "type": "int", @@ -424,9 +394,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "disallowed_special": { "type": "str", @@ -435,9 +403,7 @@ "list": false, "show": true, "multiline": false, - "value": [ - "all" - ], + "value": ["all"], "fileTypes": [], "file_path": "", "password": false, @@ -448,9 +414,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "embedding_ctx_length": { "type": "int", @@ -513,9 +477,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "model_kwargs": { "type": "NestedDict", @@ -553,9 +515,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "openai_api_key": { "type": "str", @@ -574,9 +534,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ], + "input_types": ["Text"], "value": "" }, "openai_api_type": { @@ -596,9 +554,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "openai_api_version": { "type": "str", @@ -617,9 +573,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "openai_organization": { "type": "str", @@ -638,9 +592,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "openai_proxy": { "type": "str", @@ -659,9 +611,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "request_timeout": { "type": "float", @@ -761,16 +711,12 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "_type": "CustomComponent" }, "description": "Generate embeddings using OpenAI models.", - "base_classes": [ - "Embeddings" - ], + "base_classes": ["Embeddings"], "display_name": "OpenAI Embeddings", "documentation": "", "custom_fields": { @@ -797,9 +743,7 @@ "tiktoken_enable": null, "tiktoken_model_name": null }, - "output_types": [ - "Embeddings" - ], + "output_types": ["Embeddings"], "field_formatters": {}, "frozen": false, "field_order": [], @@ -840,9 +784,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "code": { "type": "code", @@ -851,7 +793,7 @@ "list": false, "show": true, "multiline": true, - "value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\"},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": [\n \"gpt-4-turbo-2024-04-09\",\n \"gpt-4-turbo-preview\",\n \"gpt-3.5-turbo\",\n \"gpt-4-0125-preview\",\n \"gpt-4-1106-preview\",\n \"gpt-4-vision-preview\",\n \"gpt-3.5-turbo-0125\",\n \"gpt-3.5-turbo-1106\",\n ],\n \"value\": \"gpt-4-turbo-preview\",\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float,\n model_name: str,\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n", + "value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\"},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": MODEL_NAMES,\n \"value\": \"gpt-4-turbo-preview\",\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float,\n model_name: str,\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n", "fileTypes": [], "file_path": "", "password": false, @@ -912,14 +854,10 @@ "file_path": "", "password": false, "options": [ - "gpt-4-turbo-2024-04-09", + "gpt-4-turbo", "gpt-4-turbo-preview", "gpt-3.5-turbo", - "gpt-4-0125-preview", - "gpt-4-1106-preview", - "gpt-4-vision-preview", - "gpt-3.5-turbo-0125", - "gpt-3.5-turbo-1106" + "gpt-3.5-turbo-0125" ], "name": "model_name", "display_name": "Model Name", @@ -928,9 +866,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "openai_api_base": { "type": "str", @@ -949,9 +885,7 @@ "info": "The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\n\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "openai_api_key": { "type": "str", @@ -970,9 +904,7 @@ "info": "The OpenAI API Key to use for the OpenAI model.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ], + "input_types": ["Text"], "value": "" }, "stream": { @@ -1011,9 +943,7 @@ "info": "System message to pass to the model.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "temperature": { "type": "float", @@ -1044,11 +974,7 @@ }, "description": "Generates text using OpenAI LLMs.", "icon": "OpenAI", - "base_classes": [ - "object", - "Text", - "str" - ], + "base_classes": ["object", "Text", "str"], "display_name": "OpenAI", "documentation": "", "custom_fields": { @@ -1062,9 +988,7 @@ "stream": null, "system_message": null }, - "output_types": [ - "Text" - ], + "output_types": ["Text"], "field_formatters": {}, "frozen": false, "field_order": [ @@ -1134,9 +1058,7 @@ "name": "template", "display_name": "Template", "advanced": false, - "input_types": [ - "Text" - ], + "input_types": ["Text"], "dynamic": false, "info": "", "load_from_db": false, @@ -1201,23 +1123,14 @@ "is_input": null, "is_output": null, "is_composition": null, - "base_classes": [ - "object", - "Text", - "str" - ], + "base_classes": ["object", "Text", "str"], "name": "", "display_name": "Prompt", "documentation": "", "custom_fields": { - "template": [ - "context", - "question" - ] + "template": ["context", "question"] }, - "output_types": [ - "Text" - ], + "output_types": ["Text"], "full_path": null, "field_formatters": {}, "frozen": false, @@ -1280,9 +1193,7 @@ "name": "input_value", "display_name": "Message", "advanced": false, - "input_types": [ - "Text" - ], + "input_types": ["Text"], "dynamic": false, "info": "", "load_from_db": false, @@ -1306,9 +1217,7 @@ "info": "In case of Message being a Record, this template will be used to convert it to text.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "return_record": { "type": "bool", @@ -1340,10 +1249,7 @@ "fileTypes": [], "file_path": "", "password": false, - "options": [ - "Machine", - "User" - ], + "options": ["Machine", "User"], "name": "sender", "display_name": "Sender Type", "advanced": true, @@ -1351,9 +1257,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "sender_name": { "type": "str", @@ -1373,9 +1277,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "session_id": { "type": "str", @@ -1394,20 +1296,13 @@ "info": "If provided, the message will be stored in the memory.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "_type": "CustomComponent" }, "description": "Display a chat message in the Playground.", "icon": "ChatOutput", - "base_classes": [ - "object", - "Text", - "Record", - "str" - ], + "base_classes": ["object", "Text", "Record", "str"], "display_name": "Chat Output", "documentation": "", "custom_fields": { @@ -1418,10 +1313,7 @@ "return_record": null, "record_template": null }, - "output_types": [ - "Text", - "Record" - ], + "output_types": ["Text", "Record"], "field_formatters": {}, "frozen": false, "field_order": [], @@ -1528,18 +1420,14 @@ }, "description": "A generic file loader.", "icon": "file-text", - "base_classes": [ - "Record" - ], + "base_classes": ["Record"], "display_name": "File", "documentation": "", "custom_fields": { "path": null, "silent_errors": null }, - "output_types": [ - "Record" - ], + "output_types": ["Record"], "field_formatters": {}, "frozen": false, "field_order": [], @@ -1580,10 +1468,7 @@ "name": "inputs", "display_name": "Input", "advanced": false, - "input_types": [ - "Document", - "Record" - ], + "input_types": ["Document", "Record"], "dynamic": false, "info": "The texts to split.", "load_from_db": false, @@ -1662,19 +1547,13 @@ "info": "The characters to split on.\nIf left empty defaults to [\"\\n\\n\", \"\\n\", \" \", \"\"].", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ], - "value": [ - "" - ] + "input_types": ["Text"], + "value": [""] }, "_type": "CustomComponent" }, "description": "Split text into chunks of a specified length.", - "base_classes": [ - "Record" - ], + "base_classes": ["Record"], "display_name": "Recursive Character Text Splitter", "documentation": "https://docs.langflow.org/components/text-splitters#recursivecharactertextsplitter", "custom_fields": { @@ -1683,9 +1562,7 @@ "chunk_size": null, "chunk_overlap": null }, - "output_types": [ - "Record" - ], + "output_types": ["Record"], "field_formatters": {}, "frozen": false, "field_order": [], @@ -1748,9 +1625,7 @@ "info": "Input value to search", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "api_endpoint": { "type": "str", @@ -1769,9 +1644,7 @@ "info": "API endpoint URL for the Astra DB service.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ], + "input_types": ["Text"], "value": "" }, "batch_size": { @@ -1899,9 +1772,7 @@ "info": "The name of the collection within Astra DB where the vectors will be stored.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ], + "input_types": ["Text"], "value": "langflow" }, "metadata_indexing_exclude": { @@ -1921,9 +1792,7 @@ "info": "Optional list of metadata fields to exclude from the indexing.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "metadata_indexing_include": { "type": "str", @@ -1942,9 +1811,7 @@ "info": "Optional list of metadata fields to include in the indexing.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "metric": { "type": "str", @@ -1963,9 +1830,7 @@ "info": "Optional distance metric for vector comparisons in the vector store.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "namespace": { "type": "str", @@ -1984,9 +1849,7 @@ "info": "Optional namespace within Astra DB to use for the collection.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "number_of_results": { "type": "int", @@ -2037,10 +1900,7 @@ "fileTypes": [], "file_path": "", "password": false, - "options": [ - "Similarity", - "MMR" - ], + "options": ["Similarity", "MMR"], "name": "search_type", "display_name": "Search Type", "advanced": false, @@ -2048,9 +1908,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "setup_mode": { "type": "str", @@ -2063,11 +1921,7 @@ "fileTypes": [], "file_path": "", "password": false, - "options": [ - "Sync", - "Async", - "Off" - ], + "options": ["Sync", "Async", "Off"], "name": "setup_mode", "display_name": "Setup Mode", "advanced": true, @@ -2075,9 +1929,7 @@ "info": "Configuration mode for setting up the vector store, with options like “Sync”, “Async”, or “Off”.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "token": { "type": "str", @@ -2096,18 +1948,14 @@ "info": "Authentication token for accessing Astra DB.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ], + "input_types": ["Text"], "value": "" }, "_type": "CustomComponent" }, "description": "Searches an existing Astra DB Vector Store.", "icon": "AstraDB", - "base_classes": [ - "Record" - ], + "base_classes": ["Record"], "display_name": "Astra DB Search", "documentation": "", "custom_fields": { @@ -2130,9 +1978,7 @@ "metadata_indexing_exclude": null, "collection_indexing_policy": null }, - "output_types": [ - "Record" - ], + "output_types": ["Record"], "field_formatters": {}, "frozen": false, "field_order": [ @@ -2219,9 +2065,7 @@ "info": "API endpoint URL for the Astra DB service.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ], + "input_types": ["Text"], "value": "" }, "batch_size": { @@ -2349,9 +2193,7 @@ "info": "The name of the collection within Astra DB where the vectors will be stored.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ], + "input_types": ["Text"], "value": "langflow" }, "metadata_indexing_exclude": { @@ -2371,9 +2213,7 @@ "info": "Optional list of metadata fields to exclude from the indexing.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "metadata_indexing_include": { "type": "str", @@ -2392,9 +2232,7 @@ "info": "Optional list of metadata fields to include in the indexing.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "metric": { "type": "str", @@ -2413,9 +2251,7 @@ "info": "Optional distance metric for vector comparisons in the vector store.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "namespace": { "type": "str", @@ -2434,9 +2270,7 @@ "info": "Optional namespace within Astra DB to use for the collection.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "pre_delete_collection": { "type": "bool", @@ -2468,11 +2302,7 @@ "fileTypes": [], "file_path": "", "password": false, - "options": [ - "Sync", - "Async", - "Off" - ], + "options": ["Sync", "Async", "Off"], "name": "setup_mode", "display_name": "Setup Mode", "advanced": true, @@ -2480,9 +2310,7 @@ "info": "Configuration mode for setting up the vector store, with options like “Sync”, “Async”, or “Off”.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "token": { "type": "str", @@ -2501,18 +2329,14 @@ "info": "Authentication token for accessing Astra DB.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ], + "input_types": ["Text"], "value": "" }, "_type": "CustomComponent" }, "description": "Builds or loads an Astra DB Vector Store.", "icon": "AstraDB", - "base_classes": [ - "VectorStore" - ], + "base_classes": ["VectorStore"], "display_name": "Astra DB", "documentation": "", "custom_fields": { @@ -2533,9 +2357,7 @@ "metadata_indexing_exclude": null, "collection_indexing_policy": null }, - "output_types": [ - "VectorStore" - ], + "output_types": ["VectorStore"], "field_formatters": {}, "frozen": false, "field_order": [ @@ -2587,9 +2409,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "chunk_size": { "type": "int", @@ -2701,9 +2521,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "disallowed_special": { "type": "str", @@ -2712,9 +2530,7 @@ "list": false, "show": true, "multiline": false, - "value": [ - "all" - ], + "value": ["all"], "fileTypes": [], "file_path": "", "password": false, @@ -2725,9 +2541,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "embedding_ctx_length": { "type": "int", @@ -2790,9 +2604,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "model_kwargs": { "type": "NestedDict", @@ -2830,9 +2642,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "openai_api_key": { "type": "str", @@ -2851,9 +2661,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ], + "input_types": ["Text"], "value": "" }, "openai_api_type": { @@ -2873,9 +2681,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "openai_api_version": { "type": "str", @@ -2894,9 +2700,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "openai_organization": { "type": "str", @@ -2915,9 +2719,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "openai_proxy": { "type": "str", @@ -2936,9 +2738,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "request_timeout": { "type": "float", @@ -3038,16 +2838,12 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "_type": "CustomComponent" }, "description": "Generate embeddings using OpenAI models.", - "base_classes": [ - "Embeddings" - ], + "base_classes": ["Embeddings"], "display_name": "OpenAI Embeddings", "documentation": "", "custom_fields": { @@ -3074,9 +2870,7 @@ "tiktoken_enable": null, "tiktoken_model_name": null }, - "output_types": [ - "Embeddings" - ], + "output_types": ["Embeddings"], "field_formatters": {}, "frozen": false, "field_order": [], @@ -3105,20 +2899,11 @@ "targetHandle": { "fieldName": "context", "id": "Prompt-xeI6K", - "inputTypes": [ - "Document", - "BaseOutputParser", - "Record", - "Text" - ], + "inputTypes": ["Document", "BaseOutputParser", "Record", "Text"], "type": "str" }, "sourceHandle": { - "baseClasses": [ - "object", - "Text", - "str" - ], + "baseClasses": ["object", "Text", "str"], "dataType": "TextOutput", "id": "TextOutput-BDknO" } @@ -3139,21 +2924,11 @@ "targetHandle": { "fieldName": "question", "id": "Prompt-xeI6K", - "inputTypes": [ - "Document", - "BaseOutputParser", - "Record", - "Text" - ], + "inputTypes": ["Document", "BaseOutputParser", "Record", "Text"], "type": "str" }, "sourceHandle": { - "baseClasses": [ - "Text", - "str", - "object", - "Record" - ], + "baseClasses": ["Text", "str", "object", "Record"], "dataType": "ChatInput", "id": "ChatInput-yxMKE" } @@ -3174,17 +2949,11 @@ "targetHandle": { "fieldName": "input_value", "id": "OpenAIModel-EjXlN", - "inputTypes": [ - "Text" - ], + "inputTypes": ["Text"], "type": "str" }, "sourceHandle": { - "baseClasses": [ - "object", - "Text", - "str" - ], + "baseClasses": ["object", "Text", "str"], "dataType": "Prompt", "id": "Prompt-xeI6K" } @@ -3205,17 +2974,11 @@ "targetHandle": { "fieldName": "input_value", "id": "ChatOutput-Q39I8", - "inputTypes": [ - "Text" - ], + "inputTypes": ["Text"], "type": "str" }, "sourceHandle": { - "baseClasses": [ - "object", - "Text", - "str" - ], + "baseClasses": ["object", "Text", "str"], "dataType": "OpenAIModel", "id": "OpenAIModel-EjXlN" } @@ -3236,16 +2999,11 @@ "targetHandle": { "fieldName": "inputs", "id": "RecursiveCharacterTextSplitter-tR9QM", - "inputTypes": [ - "Document", - "Record" - ], + "inputTypes": ["Document", "Record"], "type": "Document" }, "sourceHandle": { - "baseClasses": [ - "Record" - ], + "baseClasses": ["Record"], "dataType": "File", "id": "File-t0a6a" } @@ -3269,9 +3027,7 @@ "type": "Embeddings" }, "sourceHandle": { - "baseClasses": [ - "Embeddings" - ], + "baseClasses": ["Embeddings"], "dataType": "OpenAIEmbeddings", "id": "OpenAIEmbeddings-ZlOk1" } @@ -3291,18 +3047,11 @@ "targetHandle": { "fieldName": "input_value", "id": "AstraDBSearch-41nRz", - "inputTypes": [ - "Text" - ], + "inputTypes": ["Text"], "type": "str" }, "sourceHandle": { - "baseClasses": [ - "Text", - "str", - "object", - "Record" - ], + "baseClasses": ["Text", "str", "object", "Record"], "dataType": "ChatInput", "id": "ChatInput-yxMKE" } @@ -3326,9 +3075,7 @@ "type": "Record" }, "sourceHandle": { - "baseClasses": [ - "Record" - ], + "baseClasses": ["Record"], "dataType": "RecursiveCharacterTextSplitter", "id": "RecursiveCharacterTextSplitter-tR9QM" } @@ -3353,9 +3100,7 @@ "type": "Embeddings" }, "sourceHandle": { - "baseClasses": [ - "Embeddings" - ], + "baseClasses": ["Embeddings"], "dataType": "OpenAIEmbeddings", "id": "OpenAIEmbeddings-9TPjc" } @@ -3376,16 +3121,11 @@ "targetHandle": { "fieldName": "input_value", "id": "TextOutput-BDknO", - "inputTypes": [ - "Record", - "Text" - ], + "inputTypes": ["Record", "Text"], "type": "str" }, "sourceHandle": { - "baseClasses": [ - "Record" - ], + "baseClasses": ["Record"], "dataType": "AstraDBSearch", "id": "AstraDBSearch-41nRz" } @@ -3407,4 +3147,4 @@ "name": "Vector Store RAG", "last_tested_version": "1.0.0a0", "is_component": false -} \ No newline at end of file +} From 1a54582b95bdcf331bc76a9612edb1516762f82c Mon Sep 17 00:00:00 2001 From: Gabriel Luiz Freitas Almeida Date: Wed, 8 May 2024 11:46:48 -0300 Subject: [PATCH 08/55] Update ZepMessageReader and ZepMessageWriter to avoid 404 error (#1844) * Update ZepMessageReader and ZepMessageWriter to avoid 404 error * Update ZepMessageReader and ZepMessageWriter to use API Base Path option * Update ZepMessageReader and ZepMessageWriter to fix API Base Path and avoid 404 error * Update ZepMessageReader and ZepMessageWriter to use API Base Path option --- .../components/memories/ZepMessageReader.py | 14 ++++++++++++++ .../components/memories/ZepMessageWriter.py | 16 ++++++++++++++-- 2 files changed, 28 insertions(+), 2 deletions(-) diff --git a/src/backend/base/langflow/components/memories/ZepMessageReader.py b/src/backend/base/langflow/components/memories/ZepMessageReader.py index 603e41972..bac6e9f1a 100644 --- a/src/backend/base/langflow/components/memories/ZepMessageReader.py +++ b/src/backend/base/langflow/components/memories/ZepMessageReader.py @@ -54,6 +54,10 @@ class ZepMessageReaderComponent(BaseMemoryComponent): "info": "Limit of search results.", "advanced": True, }, + "api_base_path": { + "display_name": "API Base Path", + "options": ["api/v1", "api/v2"], + }, } def get_messages(self, **kwargs) -> list[Record]: @@ -108,6 +112,7 @@ class ZepMessageReaderComponent(BaseMemoryComponent): def build( self, session_id: Text, + api_base_path: str = "api/v1", url: Optional[Text] = None, api_key: Optional[Text] = None, query: Optional[Text] = None, @@ -118,12 +123,21 @@ class ZepMessageReaderComponent(BaseMemoryComponent): try: from zep_python import ZepClient from zep_python.langchain import ZepChatMessageHistory + + # Monkeypatch API_BASE_PATH to + # avoid 404 + # This is a workaround for the local Zep instance + # cloud Zep works with v2 + import zep_python.zep_client + + zep_python.zep_client.API_BASE_PATH = api_base_path except ImportError: raise ImportError( "Could not import zep-python package. " "Please install it with `pip install zep-python`." ) if url == "": url = None + zep_client = ZepClient(api_url=url, api_key=api_key) memory = ZepChatMessageHistory(session_id=session_id, zep_client=zep_client) records = self.get_messages( diff --git a/src/backend/base/langflow/components/memories/ZepMessageWriter.py b/src/backend/base/langflow/components/memories/ZepMessageWriter.py index 248dfd810..b062f66bf 100644 --- a/src/backend/base/langflow/components/memories/ZepMessageWriter.py +++ b/src/backend/base/langflow/components/memories/ZepMessageWriter.py @@ -1,5 +1,4 @@ -from typing import Optional, TYPE_CHECKING - +from typing import TYPE_CHECKING, Optional from langflow.base.memory.memory import BaseMemoryComponent from langflow.field_typing import Text @@ -39,6 +38,10 @@ class ZepMessageWriterComponent(BaseMemoryComponent): "display_name": "Input Record", "info": "Record to write to Zep.", }, + "api_base_path": { + "display_name": "API Base Path", + "options": ["api/v1", "api/v2"], + }, } def add_message( @@ -77,18 +80,27 @@ class ZepMessageWriterComponent(BaseMemoryComponent): self, input_value: Record, session_id: Text, + api_base_path: str = "api/v1", url: Optional[Text] = None, api_key: Optional[Text] = None, ) -> Record: try: + # Monkeypatch API_BASE_PATH to + # avoid 404 + # This is a workaround for the local Zep instance + # cloud Zep works with v2 + import zep_python.zep_client from zep_python import ZepClient from zep_python.langchain import ZepChatMessageHistory + + zep_python.zep_client.API_BASE_PATH = api_base_path except ImportError: raise ImportError( "Could not import zep-python package. " "Please install it with `pip install zep-python`." ) if url == "": url = None + zep_client = ZepClient(api_url=url, api_key=api_key) memory = ZepChatMessageHistory(session_id=session_id, zep_client=zep_client) self.add_message(**input_value.data, memory=memory) From 436c290ee712ddd0e4bd6e605800ccf583a7ec80 Mon Sep 17 00:00:00 2001 From: Mendon Kissling <59585235+mendonk@users.noreply.github.com> Date: Wed, 8 May 2024 11:47:51 -0400 Subject: [PATCH 09/55] submit-to-store --- .../docs/contributing/contribute-component.md | 35 ++++++++++++++++-- docs/static/img/add-component-to-store.png | Bin 0 -> 139007 bytes 2 files changed, 31 insertions(+), 4 deletions(-) create mode 100644 docs/static/img/add-component-to-store.png diff --git a/docs/docs/contributing/contribute-component.md b/docs/docs/contributing/contribute-component.md index faf7874a2..bd60c07ab 100644 --- a/docs/docs/contributing/contribute-component.md +++ b/docs/docs/contributing/contribute-component.md @@ -1,20 +1,47 @@ +import ZoomableImage from "/src/theme/ZoomableImage.js"; + # How to contribute components? As of Langflow 1.0 alpha, new components are added as objects of the [CustomComponent](https://github.com/langflow-ai/langflow/blob/dev/src/backend/base/langflow/interface/custom/custom_component/custom_component.py) class and any dependencies are added to the [pyproject.toml](https://github.com/langflow-ai/langflow/blob/dev/pyproject.toml#L27) file. ## Add an example component -You have a new document loader called **MyCustomEmbedding** and it would look awesome in Langflow. +You have a new document loader called **MyCustomDocumentLoader** and it would look awesome in Langflow. -1. Write your loader as an object of the [CustomComponent](https://github.com/langflow-ai/langflow/blob/dev/src/backend/base/langflow/interface/custom/custom_component/custom_component.py) class. You'll create a new class, `MyCustomEmbeddingComponent`, that will inherit from `CustomComponent` and override the base class's methods. +1. Write your loader as an object of the [CustomComponent](https://github.com/langflow-ai/langflow/blob/dev/src/backend/base/langflow/interface/custom/custom_component/custom_component.py) class. You'll create a new class, `MyCustomDocumentLoader`, that will inherit from `CustomComponent` and override the base class's methods. 2. Define optional attributes like `display_name`, `description`, and `documentation` to provide information about your custom component. 3. Implement the `build_config` method to define the configuration options for your custom component. 4. Implement the `build` method to define the logic for taking input parameters specified in the `build_config` method and returning the desired output. 5. Add the code to the [/components/document_loaders](https://github.com/langflow-ai/langflow/tree/dev/src/backend/base/langflow/components) folder. -6. Add the dependency to [/document_loaders/\_\_init\_\_.py](https://github.com/langflow-ai/langflow/blob/dev/src/backend/base/langflow/components/documentloaders/__init__.py) as `from .MyCustomEmbedding import MyCustomEmbeddingComponent`. +6. Add the dependency to [/document_loaders/\_\_init\_\_.py](https://github.com/langflow-ai/langflow/blob/dev/src/backend/base/langflow/components/documentloaders/__init__.py) as `from .MyCustomEmbedding import MyCustomDocumentLoader`. 7. Add any new dependencies to the outer [pyproject.toml](https://github.com/langflow-ai/langflow/blob/dev/pyproject.toml#L27) file. +8. Submit documentation for your component. For this example, you'd submit documentation to the [loaders page](https://github.com/langflow-ai/langflow/blob/dev/docs/docs/components/loaders.mdx). 8. Submit your changes as a pull request. The Langflow team will have a look, suggest changes, and add your component to Langflow. - +## User Sharing + +You might want to share and test your custom component with others, but don't need it merged into the main source code. + +If so, you can share your component on the Langflow store. + +1. [Register at the Langflow store](https://www.langflow.store/login/). +2. Undergo pre-validation before receiving an API key. +3. To deploy your amazing component directly to the Langflow store, without it being merged into the main source code, navigate to your flow, and then click **Share**. +The share window appears: + + + +5. Choose whether you want to flow to be public or private. +You can also **Export** your flow as a JSON file from this window. +When you're ready to share the flow, click **Share Flow**. +You should see a **Flow shared successfully** popup. +6. To confirm, navigate to the **Langflow Store** and filter results by **Created By Me**. 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zd%5_d6WiyBxb;7;eY^&H&qJ*-Znfxf`~UeHOFsQDh?iqK|I)ElKmGhl{}R*k$19c| zbo-SUAvt%|BK1qF=V>i|u9p7zSK40GrC&se?a^~xM8{~4!Ou)p-}UYj?k=1ImGo1ZmzieK#A_`Gj>-2X-ACcqOK z3L{QzM(wwXIX_N?FaCTdAcc+ThYG$&Mf8pO4W^i|7F-NZru{Nbk?HhBKhILnI-FQ^*U-Too8LC zSXcQe#^n1wiS2veC+zua`@Tc^+nY1*H{r;6X5taMJ|xYl|FhBJ_ly3;)}>Vv4%dtP z<{WyO_G<6M&rh!WuDtQ>=c|=`o1cB@pZeai+V8F9rM9WY?epcgOpn$~@!MJa&nxu8 z&#SMO9k2{_|9&a_m6Yt-5W%_8$xwM^-1nsdNjhST2Cy^@A#jUCui6f znM484ADOUoKGTaV6K!qL^VU*d6B*`e&o4Ia>ol3i{4$aI#T1L{MK9)DTVu20gO|Wu aw>oygtRm(&@-^NJK;Y@>=d#Wzp$P!WkQ@yF literal 0 HcmV?d00001 From b0a96928f19f8f808b349657bcf325ad2ace2819 Mon Sep 17 00:00:00 2001 From: Mendon Kissling <59585235+mendonk@users.noreply.github.com> Date: Thu, 9 May 2024 12:28:02 -0400 Subject: [PATCH 10/55] fix-folder-path --- docs/docs/contributing/contribute-component.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/docs/contributing/contribute-component.md b/docs/docs/contributing/contribute-component.md index bd60c07ab..398fc3b9c 100644 --- a/docs/docs/contributing/contribute-component.md +++ b/docs/docs/contributing/contribute-component.md @@ -12,8 +12,8 @@ You have a new document loader called **MyCustomDocumentLoader** and it would lo 2. Define optional attributes like `display_name`, `description`, and `documentation` to provide information about your custom component. 3. Implement the `build_config` method to define the configuration options for your custom component. 4. Implement the `build` method to define the logic for taking input parameters specified in the `build_config` method and returning the desired output. -5. Add the code to the [/components/document_loaders](https://github.com/langflow-ai/langflow/tree/dev/src/backend/base/langflow/components) folder. -6. Add the dependency to [/document_loaders/\_\_init\_\_.py](https://github.com/langflow-ai/langflow/blob/dev/src/backend/base/langflow/components/documentloaders/__init__.py) as `from .MyCustomEmbedding import MyCustomDocumentLoader`. +5. Add the code to the [/components/documentloaders](https://github.com/langflow-ai/langflow/tree/dev/src/backend/base/langflow/components) folder. +6. Add the dependency to [/documentloaders/\_\_init\_\_.py](https://github.com/langflow-ai/langflow/blob/dev/src/backend/base/langflow/components/documentloaders/__init__.py) as `from .MyCustomDocumentLoader import MyCustomDocumentLoader`. 7. Add any new dependencies to the outer [pyproject.toml](https://github.com/langflow-ai/langflow/blob/dev/pyproject.toml#L27) file. 8. Submit documentation for your component. For this example, you'd submit documentation to the [loaders page](https://github.com/langflow-ai/langflow/blob/dev/docs/docs/components/loaders.mdx). 8. Submit your changes as a pull request. The Langflow team will have a look, suggest changes, and add your component to Langflow. From 12d1a9a426e4bc90b6b4c07d85cce3baced7ea76 Mon Sep 17 00:00:00 2001 From: h-arnold <78823477+h-arnold@users.noreply.github.com> Date: Thu, 9 May 2024 19:54:16 +0100 Subject: [PATCH 11/55] Added MistralAI LLM and Embedding (#1865) * Added Mistral AI LLM Model and added MistralAI embeddings. * Added tracking to the new MistralAIEmbeddings.py and MistalModel.py * Added MistralAI model specs and added the correct models list to the Mistral Model LLM component. * Actually added the MistralAI model specs this time. --- poetry.lock | 335 ++++++++++-------- pyproject.toml | 2 + .../embeddings/MistalAIEmbeddings.py | 69 ++++ .../model_specs/ChatMistralSpecs.py | 87 +++++ .../components/models/MistralModel.py | 111 ++++++ 5 files changed, 450 insertions(+), 154 deletions(-) create mode 100644 src/backend/base/langflow/components/embeddings/MistalAIEmbeddings.py create mode 100644 src/backend/base/langflow/components/model_specs/ChatMistralSpecs.py create mode 100644 src/backend/base/langflow/components/models/MistralModel.py diff --git a/poetry.lock b/poetry.lock index 8bec14eee..57995055b 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand. [[package]] name = "aiohttp" @@ -167,13 +167,13 @@ files = [ [[package]] name = "anthropic" -version = "0.25.7" +version = "0.25.8" description = "The official Python library for the anthropic API" optional = false python-versions = ">=3.7" files = [ - {file = "anthropic-0.25.7-py3-none-any.whl", hash = "sha256:419a276eb20cfb7ddaac03c7e28e4e12df3ace71bcf33071a68c9a03c0dfcbdd"}, - {file = "anthropic-0.25.7.tar.gz", hash = "sha256:e7de4c8ba8e7e8248ad7f05ed9176634780b95b67c678d23915d8964c8a26f4e"}, + {file = "anthropic-0.25.8-py3-none-any.whl", hash = "sha256:c7a0091916eb22a5e0012b725f5492779eedfcad2da8dc906082e1db7596a65c"}, + {file = "anthropic-0.25.8.tar.gz", hash = "sha256:93f6063e96d5dbeaa172edc177762f630e55b2f81595cedb760278b95a2dd03e"}, ] [package.dependencies] @@ -1161,13 +1161,13 @@ types = ["chardet (>=5.1.0)", "mypy", "pytest", "pytest-cov", "pytest-dependency [[package]] name = "cohere" -version = "5.3.4" +version = "5.3.2" description = "" optional = false python-versions = 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+dev-tensorflow = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "isort (>=5.5.4)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "nltk", "onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "tensorflow (>=2.6,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "tokenizers (>=0.14,<0.19)", "urllib3 (<2.0.0)"] +dev-torch = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "beautifulsoup4", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "fugashi (>=1.0)", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "kenlm", "librosa", "nltk", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "timeout-decorator", "timm", "tokenizers (>=0.14,<0.19)", "torch", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"] +docs = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "av (==9.2.0)", "codecarbon (==1.2.0)", "decord (==0.6.0)", "flax (>=0.4.1,<=0.7.0)", "hf-doc-builder", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "ray[tune] (>=2.7.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>=2.6,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timm", "tokenizers (>=0.14,<0.19)", "torch", "torchaudio", "torchvision"] docs-specific = ["hf-doc-builder"] flax = ["flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "optax (>=0.0.8,<=0.1.4)"] flax-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"] @@ -9402,16 +9429,16 @@ serving = ["fastapi", "pydantic", "starlette", "uvicorn"] sigopt = ["sigopt"] sklearn = ["scikit-learn"] speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"] -testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder (>=0.3.0)", "nltk", "parameterized", "protobuf", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"] +testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder (>=0.3.0)", "nltk", "parameterized", "protobuf", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "tensorboard", "timeout-decorator"] tf = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow (>=2.6,<2.16)", "tensorflow-text (<2.16)", "tf2onnx"] tf-cpu = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow-cpu (>=2.6,<2.16)", "tensorflow-text (<2.16)", "tf2onnx"] tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"] timm = ["timm"] -tokenizers = ["tokenizers (>=0.19,<0.20)"] +tokenizers = ["tokenizers (>=0.14,<0.19)"] torch = ["accelerate (>=0.21.0)", "torch"] torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"] torch-vision = ["Pillow (>=10.0.1,<=15.0)", "torchvision"] -torchhub = ["filelock", "huggingface-hub (>=0.19.3,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.19,<0.20)", "torch", "tqdm (>=4.27)"] +torchhub = ["filelock", "huggingface-hub (>=0.19.3,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.14,<0.19)", "torch", "tqdm (>=4.27)"] video = ["av (==9.2.0)", "decord (==0.6.0)"] vision = ["Pillow (>=10.0.1,<=15.0)"] @@ -10721,4 +10748,4 @@ local = ["ctransformers", "llama-cpp-python", "sentence-transformers"] [metadata] lock-version = "2.0" python-versions = ">=3.10,<3.12" -content-hash = "3355376a653b6ca7884c09be576958a121ab965927e5e22f20a98ea387497f03" +content-hash = "d3ac1c13a79e0c368642bacb2907061361b7865b5136fdc969f5f5a28c7d2322" diff --git a/pyproject.toml b/pyproject.toml index ef058b219..dbfcee43b 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -85,6 +85,8 @@ zep-python = { version = "^2.0.0rc5", allow-prereleases = true } langchain-google-vertexai = "^1.0.3" langchain-groq = "^0.1.3" langchain-pinecone = "^0.1.0" +langchain-mistralai ="^0.1.6" + [tool.poetry.group.dev.dependencies] types-redis = "^4.6.0.5" diff --git a/src/backend/base/langflow/components/embeddings/MistalAIEmbeddings.py b/src/backend/base/langflow/components/embeddings/MistalAIEmbeddings.py new file mode 100644 index 000000000..4088d4839 --- /dev/null +++ b/src/backend/base/langflow/components/embeddings/MistalAIEmbeddings.py @@ -0,0 +1,69 @@ +from typing import List, Optional +from pydantic.v1 import SecretStr + +from langchain_mistralai.embeddings import MistralAIEmbeddings +from langflow.interface.custom.custom_component import CustomComponent +from langflow.field_typing import Embeddings, NestedDict + +class MistralAIEmbeddingsComponent(CustomComponent): + display_name = "MistralAI Embeddings" + description = "Generate embeddings using MistralAI models." + + def build_config(self): + return { + "model": { + "display_name": "Model", + "advanced": False, + "options": ["mistral-embed"], + "value": "mistral-embed", + }, + "mistral_api_key": { + "display_name": "Mistral API Key", + "password": True, + "advanced": False, + }, + "max_concurrent_requests": { + "display_name": "Max Concurrent Requests", + "advanced": True, + "value": 64, + }, + "max_retries": { + "display_name": "Max Retries", + "advanced": True, + "value": 5, + }, + "timeout": { + "display_name": "Request Timeout", + "advanced": True, + "value": 120, + }, + "endpoint": { + "display_name": "API Endpoint", + "advanced": True, + "value": "https://api.mistral.ai/v1/" + } + } + + def build( + self, + mistral_api_key: str, + model: str = "mistral-embed", + max_concurrent_requests: int = 64, + max_retries: int = 5, + timeout: int = 120, + endpoint: str = "https://api.mistral.ai/v1/" + ) -> Embeddings: + if mistral_api_key: + api_key = SecretStr(mistral_api_key) + else: + api_key = None + + return MistralAIEmbeddings( + api_key=api_key, + model=model, + endpoint=endpoint, + max_concurrent_requests=max_concurrent_requests, + max_retries=max_retries, + timeout=timeout + ) + diff --git a/src/backend/base/langflow/components/model_specs/ChatMistralSpecs.py b/src/backend/base/langflow/components/model_specs/ChatMistralSpecs.py new file mode 100644 index 000000000..2bfab4f6a --- /dev/null +++ b/src/backend/base/langflow/components/model_specs/ChatMistralSpecs.py @@ -0,0 +1,87 @@ +from typing import Optional + +from langchain_mistralai import ChatMistralAI +from pydantic.v1 import SecretStr + +from langflow.custom import CustomComponent +from langflow.field_typing import BaseLanguageModel + + +class MistralAIModelComponent(CustomComponent): + display_name: str = "MistralAI" + description: str = "Generate text using MistralAI LLMs." + icon = "MistralAI" + + field_order = [ + "model", + "mistral_api_key", + "max_tokens", + "temperature", + "mistral_api_base", + ] + + def build_config(self): + return { + "model": { + "display_name": "Model Name", + "options": [ + "open-mistral-7b", + "open-mixtral-8x7b", + "open-mixtral-8x22b", + "mistral-small-latest", + "mistral-medium-latest", + "mistral-large-latest" + ], + "info": "Name of the model to use.", + "required": True, + "value": "open-mistral-7b", + }, + "mistral_api_key": { + "display_name": "Mistral API Key", + "required": True, + "password": True, + "info": "Your Mistral API key.", + }, + "max_tokens": { + "display_name": "Max Tokens", + "field_type": "int", + "advanced": True, + "value": 256, + }, + "temperature": { + "display_name": "Temperature", + "field_type": "float", + "value": 0.1, + }, + "mistral_api_base": { + "display_name": "Mistral API Base", + "advanced": True, + "info": "Endpoint of the Mistral API. Defaults to 'https://api.mistral.ai' if not specified.", + }, + "code": {"show": False}, + } + + def build( + self, + model: str, + mistral_api_key: Optional[str] = None, + max_tokens: Optional[int] = None, + temperature: Optional[float] = None, + mistral_api_base: Optional[str] = None, + ) -> BaseLanguageModel: + # Set default API endpoint if not provided + if not mistral_api_base: + mistral_api_base = "https://api.mistral.ai" + + try: + output = ChatMistralAI( + model=model, + api_key=(SecretStr(mistral_api_key) if mistral_api_key else None), + max_tokens=max_tokens, + temperature=temperature, + base_url=mistral_api_base, + ) + except Exception as e: + raise ValueError("Could not connect to Mistral API.") from e + + return output diff --git a/src/backend/base/langflow/components/models/MistralModel.py b/src/backend/base/langflow/components/models/MistralModel.py new file mode 100644 index 000000000..d6e3a27f0 --- /dev/null +++ b/src/backend/base/langflow/components/models/MistralModel.py @@ -0,0 +1,111 @@ +from typing import Optional + +from langchain_mistralai import ChatMistralAI +from pydantic.v1 import SecretStr + +from langflow.base.constants import STREAM_INFO_TEXT +from langflow.base.models.model import LCModelComponent +from langflow.field_typing import NestedDict, Text + + +class MistralAIModelComponent(LCModelComponent): + display_name = "MistralAI" + description = "Generates text using MistralAI LLMs." + icon = "MistralAI" + + field_order = [ + "max_tokens", + "model_kwargs", + "model_name", + "mistral_api_base", + "mistral_api_key", + "temperature", + "input_value", + "system_message", + "stream", + ] + + def build_config(self): + return { + "input_value": {"display_name": "Input"}, + "max_tokens": { + "display_name": "Max Tokens", + "advanced": True, + }, + "model_kwargs": { + "display_name": "Model Kwargs", + "advanced": True, + }, + "model_name": { + "display_name": "Model Name", + "advanced": False, + "options": [ + "open-mistral-7b", + "open-mixtral-8x7b", + "open-mixtral-8x22b", + "mistral-small-latest", + "mistral-medium-latest", + "mistral-large-latest" + ], + "value": "open-mistral-7b", + }, + "mistral_api_base": { + "display_name": "Mistral API Base", + "advanced": True, + "info": ( + "The base URL of the Mistral API. Defaults to https://api.mistral.ai.\n\n" + "You can change this to use other APIs like JinaChat, LocalAI and Prem." + ), + }, + "mistral_api_key": { + "display_name": "Mistral API Key", + "info": "The Mistral API Key to use for the Mistral model.", + "advanced": False, + "password": True, + }, + "temperature": { + "display_name": "Temperature", + "advanced": False, + "value": 0.1, + }, + "stream": { + "display_name": "Stream", + "info": STREAM_INFO_TEXT, + "advanced": True, + }, + "system_message": { + "display_name": "System Message", + "info": "System message to pass to the model.", + "advanced": True, + }, + } + + def build( + self, + input_value: Text, + mistral_api_key: str, + temperature: float, + model_name: str, + max_tokens: Optional[int] = 256, + model_kwargs: NestedDict = {}, + mistral_api_base: Optional[str] = None, + stream: bool = False, + system_message: Optional[str] = None, + ) -> Text: + if not mistral_api_base: + mistral_api_base = "https://api.mistral.ai" + if mistral_api_key: + api_key = SecretStr(mistral_api_key) + else: + api_key = None + + chat_model = ChatMistralAI( + max_tokens=max_tokens, + model_kwargs=model_kwargs, + model=model_name, + base_url=mistral_api_base, + api_key=api_key, + temperature=temperature, + ) + + return self.get_chat_result(chat_model, stream, input_value, system_message) From 919db5d928cec9250555daa705c1594820b719a9 Mon Sep 17 00:00:00 2001 From: cristhianzl Date: Fri, 10 May 2024 11:23:37 -0300 Subject: [PATCH 12/55] =?UTF-8?q?=E2=9C=A8=20(raw-component):=20create=20a?= =?UTF-8?q?=20new=20raw=20component=20called=20RawComponent=20=F0=9F=93=9D?= =?UTF-8?q?=20(raw-component):=20add=20a=20basic=20implementation=20of=20t?= =?UTF-8?q?he=20RawComponent=20with=20a=20simple=20div=20element=20inside?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- src/frontend/src/boilerplate/raw-component/index.tsx | 9 +++++++++ 1 file changed, 9 insertions(+) create mode 100644 src/frontend/src/boilerplate/raw-component/index.tsx diff --git a/src/frontend/src/boilerplate/raw-component/index.tsx b/src/frontend/src/boilerplate/raw-component/index.tsx new file mode 100644 index 000000000..0595c1808 --- /dev/null +++ b/src/frontend/src/boilerplate/raw-component/index.tsx @@ -0,0 +1,9 @@ +type RawComponentProps = {}; +const RawComponent = ({}: RawComponentProps) => { + return ( + <> +
RawComponent
+ + ); +}; +export default RawComponent; From 5ca1c228930b4ab8ca86ea81b87d40ebb9a734c2 Mon Sep 17 00:00:00 2001 From: Gabriel Luiz Freitas Almeida Date: Fri, 10 May 2024 12:25:34 -0300 Subject: [PATCH 13/55] Add support for Python 3.12 (#1873) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit * Add support for Python 3.12 * chore: Update Python version to 3.11 and DuckDB dependency to 0.10.2 * chore: fix mistral components lint * Update SQLAgent and SQLExecutor imports to use langchain_community utilities * Update langchain import to langchain_community * Update langchain import to langchain_community * 📝 (langflow/__main__.py): Import warnings module to suppress warnings during app execution 📝 (langflow/api/v1/schemas.py): Update timestamp field default value to use datetime.now with timezone.utc 📝 (auth/utils.py): Ignore warnings related to datetime.utcnow when decoding JWT tokens and creating refresh tokens 📝 (models/flow/model.py): Update updated_at field default value to use lambda function with timezone.utc 📝 (models/user/model.py): Update create_at and updated_at field default values to use lambda function with timezone.utc --- .github/workflows/lint.yml | 3 +- .github/workflows/python_test.yml | 3 +- .github/workflows/typescript_test.yml | 2 +- poetry.lock | 869 ++++++------------ pyproject.toml | 6 +- src/backend/base/langflow/__main__.py | 5 +- src/backend/base/langflow/api/v1/flows.py | 6 +- src/backend/base/langflow/api/v1/schemas.py | 4 +- src/backend/base/langflow/base/data/utils.py | 58 +- .../langflow/components/agents/SQLAgent.py | 2 +- .../components/experimental/SQLExecutor.py | 2 +- .../BaiduQianfanLLMEndpointsSpecs.py | 2 +- .../model_specs/ChatMistralSpecs.py | 8 +- .../model_specs/HuggingFaceEndpointsSpecs.py | 2 +- .../components/models/MistralModel.py | 52 +- src/backend/base/langflow/config.yaml | 5 - .../base/langflow/graph/graph/constants.py | 2 - .../base/langflow/graph/vertex/types.py | 5 - .../base/langflow/interface/agents/custom.py | 2 +- .../base/langflow/interface/custom_lists.py | 4 +- .../langflow/interface/importing/utils.py | 6 - .../langflow/interface/initialize/loading.py | 21 - .../interface/output_parsers/__init__.py | 0 .../langflow/interface/output_parsers/base.py | 63 -- src/backend/base/langflow/interface/types.py | 2 - src/backend/base/langflow/interface/utils.py | 2 +- .../base/langflow/services/auth/utils.py | 37 +- .../services/database/models/flow/model.py | 4 +- .../services/database/models/user/model.py | 6 +- .../base/langflow/services/settings/base.py | 2 - src/backend/base/langflow/settings.py | 2 - .../base/langflow/template/field/prompt.py | 2 +- .../frontend_node/custom_components.py | 1 - .../template/frontend_node/output_parsers.py | 12 - src/backend/base/poetry.lock | 136 +-- src/backend/base/pyproject.toml | 4 +- 36 files changed, 468 insertions(+), 874 deletions(-) delete mode 100644 src/backend/base/langflow/interface/output_parsers/__init__.py delete mode 100644 src/backend/base/langflow/interface/output_parsers/base.py delete mode 100644 src/backend/base/langflow/template/frontend_node/output_parsers.py diff --git a/.github/workflows/lint.yml b/.github/workflows/lint.yml index e1b427322..3c5898369 100644 --- a/.github/workflows/lint.yml +++ b/.github/workflows/lint.yml @@ -22,8 +22,9 @@ jobs: strategy: matrix: python-version: - - "3.10" + - "3.12" - "3.11" + - "3.10" steps: - uses: actions/checkout@v4 - name: Set up Python ${{ matrix.python-version }} + Poetry ${{ env.POETRY_VERSION }} diff --git a/.github/workflows/python_test.yml b/.github/workflows/python_test.yml index b0cfee04e..dac1d4f6a 100644 --- a/.github/workflows/python_test.yml +++ b/.github/workflows/python_test.yml @@ -23,8 +23,9 @@ jobs: strategy: matrix: python-version: - - "3.10" + - "3.12" - "3.11" + - "3.10" env: OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }} steps: diff --git a/.github/workflows/typescript_test.yml b/.github/workflows/typescript_test.yml index 71ea535da..dc5bc061e 100644 --- a/.github/workflows/typescript_test.yml +++ b/.github/workflows/typescript_test.yml @@ -8,7 +8,7 @@ on: env: POETRY_VERSION: "1.8.2" NODE_VERSION: "21" - PYTHON_VERSION: "3.10" + PYTHON_VERSION: "3.12" # Define the directory where Playwright browsers will be installed. # Adjust if your project uses a different path. 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"sha256:97958050d215ab64d702e5dd29206c4b855a3372d3ae22f784287a2d0ed085dc"}, - {file = "weaviate_client-4.5.7.tar.gz", hash = "sha256:130f7371c4af31949e6f3537683813f0e5adb7ec94a5536e2278768c5fe057bf"}, + {file = "weaviate_client-4.6.0-py3-none-any.whl", hash = "sha256:4c9608ba5d495d1fe28e451aca057086cb55242bb8432bfb0008f433eef7a6ab"}, + {file = "weaviate_client-4.6.0.tar.gz", hash = "sha256:5cc6c8b2a6f9122b34ffa688070e5060ab044fe72a4a9233eb9938c6067866b8"}, ] [package.dependencies] @@ -10747,5 +10410,5 @@ local = ["ctransformers", "llama-cpp-python", "sentence-transformers"] [metadata] lock-version = "2.0" -python-versions = ">=3.10,<3.12" -content-hash = "d3ac1c13a79e0c368642bacb2907061361b7865b5136fdc969f5f5a28c7d2322" +python-versions = ">=3.10,<3.13" +content-hash = "1e59b887d9cef40cd980e2cb698c48e135911400176d8bef1012ddc8853e420a" diff --git a/pyproject.toml b/pyproject.toml index dbfcee43b..282980cbc 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -25,7 +25,7 @@ langflow = "langflow.__main__:main" [tool.poetry.dependencies] -python = ">=3.10,<3.12" +python = ">=3.10,<3.13" langflow-base = { path = "./src/backend/base", develop = true } beautifulsoup4 = "^4.12.2" google-search-results = "^2.4.1" @@ -72,7 +72,7 @@ langchain-cohere = "^0.1.0rc1" elasticsearch = "^8.12.0" pytube = "^15.0.0" llama-index = "^0.10.13" -unstructured = { extras = ["md"], version = "^0.12.4" } +# unstructured = { extras = ["md"], version = "^0.12.4" } dspy-ai = "^2.4.0" html2text = "^2024.2.26" assemblyai = "^0.23.1" @@ -85,7 +85,7 @@ zep-python = { version = "^2.0.0rc5", allow-prereleases = true } langchain-google-vertexai = "^1.0.3" langchain-groq = "^0.1.3" langchain-pinecone = "^0.1.0" -langchain-mistralai ="^0.1.6" +langchain-mistralai = "^0.1.6" [tool.poetry.group.dev.dependencies] diff --git a/src/backend/base/langflow/__main__.py b/src/backend/base/langflow/__main__.py index 925e6a7a1..4e09b8ee5 100644 --- a/src/backend/base/langflow/__main__.py +++ b/src/backend/base/langflow/__main__.py @@ -4,6 +4,7 @@ import sys import time from pathlib import Path from typing import Optional +import warnings import click import httpx @@ -468,7 +469,9 @@ def migration( def main(): - app() + with warnings.catch_warnings(): + warnings.simplefilter("ignore") + app() if __name__ == "__main__": diff --git a/src/backend/base/langflow/api/v1/flows.py b/src/backend/base/langflow/api/v1/flows.py index bd055f120..bafd1c08b 100644 --- a/src/backend/base/langflow/api/v1/flows.py +++ b/src/backend/base/langflow/api/v1/flows.py @@ -1,4 +1,4 @@ -from datetime import datetime +from datetime import datetime, timezone from typing import List from uuid import UUID @@ -33,7 +33,7 @@ def create_flow( flow.user_id = current_user.id db_flow = Flow.model_validate(flow, from_attributes=True) - db_flow.updated_at = datetime.utcnow() + db_flow.updated_at = datetime.now(timezone.utc) session.add(db_flow) session.commit() @@ -128,7 +128,7 @@ def update_flow( for key, value in flow_data.items(): if value is not None: setattr(db_flow, key, value) - db_flow.updated_at = datetime.utcnow() + db_flow.updated_at = datetime.now(timezone.utc) session.add(db_flow) session.commit() session.refresh(db_flow) diff --git a/src/backend/base/langflow/api/v1/schemas.py b/src/backend/base/langflow/api/v1/schemas.py index 1a68dcc8f..9558ac8c5 100644 --- a/src/backend/base/langflow/api/v1/schemas.py +++ b/src/backend/base/langflow/api/v1/schemas.py @@ -1,4 +1,4 @@ -from datetime import datetime +from datetime import datetime, timezone from enum import Enum from pathlib import Path from typing import Any, Dict, List, Optional, Union @@ -250,7 +250,7 @@ class VertexBuildResponse(BaseModel): """JSON string of the params.""" data: ResultDataResponse """Mapping of vertex ids to result dict containing the param name and result value.""" - timestamp: Optional[datetime] = Field(default_factory=datetime.utcnow) + timestamp: Optional[datetime] = Field(default_factory=lambda: datetime.now(timezone.utc)) """Timestamp of the build.""" diff --git a/src/backend/base/langflow/base/data/utils.py b/src/backend/base/langflow/base/data/utils.py index 09169393b..7026d4968 100644 --- a/src/backend/base/langflow/base/data/utils.py +++ b/src/backend/base/langflow/base/data/utils.py @@ -67,23 +67,25 @@ def retrieve_file_paths( return file_paths -def partition_file_to_record(file_path: str, silent_errors: bool) -> Optional[Record]: - # Use the partition function to load the file - from unstructured.partition.auto import partition # type: ignore +# ! Removing unstructured dependency until +# ! 3.12 is supported +# def partition_file_to_record(file_path: str, silent_errors: bool) -> Optional[Record]: +# # Use the partition function to load the file +# from unstructured.partition.auto import partition # type: ignore - try: - elements = partition(file_path) - except Exception as e: - if not silent_errors: - raise ValueError(f"Error loading file {file_path}: {e}") from e - return None +# try: +# elements = partition(file_path) +# except Exception as e: +# if not silent_errors: +# raise ValueError(f"Error loading file {file_path}: {e}") from e +# return None - # Create a Record - text = "\n\n".join([Text(el) for el in elements]) - metadata = elements.metadata if hasattr(elements, "metadata") else {} - metadata["file_path"] = file_path - record = Record(text=text, data=metadata) - return record +# # Create a Record +# text = "\n\n".join([Text(el) for el in elements]) +# metadata = elements.metadata if hasattr(elements, "metadata") else {} +# metadata["file_path"] = file_path +# record = Record(text=text, data=metadata) +# return record def read_text_file(file_path: str) -> str: @@ -131,18 +133,20 @@ def parse_text_file_to_record(file_path: str, silent_errors: bool) -> Optional[R return record -def get_elements( - file_paths: List[str], - silent_errors: bool, - max_concurrency: int, - use_multithreading: bool, -) -> List[Optional[Record]]: - if use_multithreading: - records = parallel_load_records(file_paths, silent_errors, max_concurrency) - else: - records = [partition_file_to_record(file_path, silent_errors) for file_path in file_paths] - records = list(filter(None, records)) - return records +# ! Removing unstructured dependency until +# ! 3.12 is supported +# def get_elements( +# file_paths: List[str], +# silent_errors: bool, +# max_concurrency: int, +# use_multithreading: bool, +# ) -> List[Optional[Record]]: +# if use_multithreading: +# records = parallel_load_records(file_paths, silent_errors, max_concurrency) +# else: +# records = [partition_file_to_record(file_path, silent_errors) for file_path in file_paths] +# records = list(filter(None, records)) +# return records def parallel_load_records( diff --git a/src/backend/base/langflow/components/agents/SQLAgent.py b/src/backend/base/langflow/components/agents/SQLAgent.py index 68f65d18f..abde4ab94 100644 --- a/src/backend/base/langflow/components/agents/SQLAgent.py +++ b/src/backend/base/langflow/components/agents/SQLAgent.py @@ -1,7 +1,7 @@ from typing import Callable, Union from langchain.agents import AgentExecutor -from langchain.sql_database import SQLDatabase +from langchain_community.utilities import SQLDatabase from langchain_community.agent_toolkits import SQLDatabaseToolkit from langchain_community.agent_toolkits.sql.base import create_sql_agent diff --git a/src/backend/base/langflow/components/experimental/SQLExecutor.py b/src/backend/base/langflow/components/experimental/SQLExecutor.py index 2289514a6..a62ac187b 100644 --- a/src/backend/base/langflow/components/experimental/SQLExecutor.py +++ b/src/backend/base/langflow/components/experimental/SQLExecutor.py @@ -1,5 +1,5 @@ from langchain_community.tools.sql_database.tool import QuerySQLDataBaseTool -from langchain_experimental.sql.base import SQLDatabase +from langchain_community.utilities import SQLDatabase from langflow.field_typing import Text from langflow.interface.custom.custom_component import CustomComponent diff --git a/src/backend/base/langflow/components/model_specs/BaiduQianfanLLMEndpointsSpecs.py b/src/backend/base/langflow/components/model_specs/BaiduQianfanLLMEndpointsSpecs.py index 21ed13e70..cc4ba3b9f 100644 --- a/src/backend/base/langflow/components/model_specs/BaiduQianfanLLMEndpointsSpecs.py +++ b/src/backend/base/langflow/components/model_specs/BaiduQianfanLLMEndpointsSpecs.py @@ -1,6 +1,6 @@ from typing import Optional -from langchain.llms.baidu_qianfan_endpoint import QianfanLLMEndpoint +from langchain_community.llms.baidu_qianfan_endpoint import QianfanLLMEndpoint from langflow.interface.custom.custom_component import CustomComponent from langflow.field_typing import BaseLanguageModel diff --git a/src/backend/base/langflow/components/model_specs/ChatMistralSpecs.py b/src/backend/base/langflow/components/model_specs/ChatMistralSpecs.py index 2bfab4f6a..90f94aacd 100644 --- a/src/backend/base/langflow/components/model_specs/ChatMistralSpecs.py +++ b/src/backend/base/langflow/components/model_specs/ChatMistralSpecs.py @@ -30,7 +30,7 @@ class MistralAIModelComponent(CustomComponent): "open-mixtral-8x22b", "mistral-small-latest", "mistral-medium-latest", - "mistral-large-latest" + "mistral-large-latest", ], "info": "Name of the model to use.", "required": True, @@ -64,9 +64,9 @@ class MistralAIModelComponent(CustomComponent): def build( self, model: str, + temperature: float = 0.1, mistral_api_key: Optional[str] = None, max_tokens: Optional[int] = None, - temperature: Optional[float] = None, mistral_api_base: Optional[str] = None, ) -> BaseLanguageModel: # Set default API endpoint if not provided @@ -75,11 +75,11 @@ class MistralAIModelComponent(CustomComponent): try: output = ChatMistralAI( - model=model, + model_name=model, api_key=(SecretStr(mistral_api_key) if mistral_api_key else None), max_tokens=max_tokens, temperature=temperature, - base_url=mistral_api_base, + endpoint=mistral_api_base, ) except Exception as e: raise ValueError("Could not connect to Mistral API.") from e diff --git a/src/backend/base/langflow/components/model_specs/HuggingFaceEndpointsSpecs.py b/src/backend/base/langflow/components/model_specs/HuggingFaceEndpointsSpecs.py index c16fb2c2c..c145105ea 100644 --- a/src/backend/base/langflow/components/model_specs/HuggingFaceEndpointsSpecs.py +++ b/src/backend/base/langflow/components/model_specs/HuggingFaceEndpointsSpecs.py @@ -1,7 +1,7 @@ from typing import Optional from langflow.field_typing import BaseLanguageModel -from langchain.llms.huggingface_endpoint import HuggingFaceEndpoint +from langchain_community.llms.huggingface_endpoint import HuggingFaceEndpoint from langflow.interface.custom.custom_component import CustomComponent diff --git a/src/backend/base/langflow/components/models/MistralModel.py b/src/backend/base/langflow/components/models/MistralModel.py index d6e3a27f0..b8834b314 100644 --- a/src/backend/base/langflow/components/models/MistralModel.py +++ b/src/backend/base/langflow/components/models/MistralModel.py @@ -5,7 +5,7 @@ from pydantic.v1 import SecretStr from langflow.base.constants import STREAM_INFO_TEXT from langflow.base.models.model import LCModelComponent -from langflow.field_typing import NestedDict, Text +from langflow.field_typing import Text class MistralAIModelComponent(LCModelComponent): @@ -32,10 +32,6 @@ class MistralAIModelComponent(LCModelComponent): "display_name": "Max Tokens", "advanced": True, }, - "model_kwargs": { - "display_name": "Model Kwargs", - "advanced": True, - }, "model_name": { "display_name": "Model Name", "advanced": False, @@ -45,7 +41,7 @@ class MistralAIModelComponent(LCModelComponent): "open-mixtral-8x22b", "mistral-small-latest", "mistral-medium-latest", - "mistral-large-latest" + "mistral-large-latest", ], "value": "open-mistral-7b", }, @@ -78,19 +74,48 @@ class MistralAIModelComponent(LCModelComponent): "info": "System message to pass to the model.", "advanced": True, }, + "max_retries": { + "display_name": "Max Retries", + "advanced": True, + }, + "timeout": { + "display_name": "Timeout", + "advanced": True, + }, + "max_concurrent_requests": { + "display_name": "Max Concurrent Requests", + "advanced": True, + }, + "top_p": { + "display_name": "Top P", + "advanced": True, + }, + "random_seed": { + "display_name": "Random Seed", + "advanced": True, + }, + "safe_mode": { + "display_name": "Safe Mode", + "advanced": True, + }, } def build( self, input_value: Text, mistral_api_key: str, - temperature: float, model_name: str, + temperature: float = 0.1, max_tokens: Optional[int] = 256, - model_kwargs: NestedDict = {}, mistral_api_base: Optional[str] = None, stream: bool = False, system_message: Optional[str] = None, + max_retries: int = 5, + timeout: int = 120, + max_concurrent_requests: int = 64, + top_p: float = 1, + random_seed: Optional[int] = None, + safe_mode: bool = False, ) -> Text: if not mistral_api_base: mistral_api_base = "https://api.mistral.ai" @@ -101,11 +126,16 @@ class MistralAIModelComponent(LCModelComponent): chat_model = ChatMistralAI( max_tokens=max_tokens, - model_kwargs=model_kwargs, - model=model_name, - base_url=mistral_api_base, + model_name=model_name, + endpoint=mistral_api_base, api_key=api_key, temperature=temperature, + max_retries=max_retries, + timeout=timeout, + max_concurrent_requests=max_concurrent_requests, + top_p=top_p, + random_seed=random_seed, + safe_mode=safe_mode, ) return self.get_chat_result(chat_model, stream, input_value, system_message) diff --git a/src/backend/base/langflow/config.yaml b/src/backend/base/langflow/config.yaml index ac9a7456b..561fac48d 100644 --- a/src/backend/base/langflow/config.yaml +++ b/src/backend/base/langflow/config.yaml @@ -224,11 +224,6 @@ wrappers: documentation: "" SQLDatabase: documentation: "" -output_parsers: - StructuredOutputParser: - documentation: "https://python.langchain.com/docs/modules/model_io/output_parsers/structured" - ResponseSchema: - documentation: "https://python.langchain.com/docs/modules/model_io/output_parsers/structured" custom_components: CustomComponent: documentation: "https://docs.langflow.org/guidelines/custom-component" diff --git a/src/backend/base/langflow/graph/graph/constants.py b/src/backend/base/langflow/graph/graph/constants.py index f948a0753..193159c13 100644 --- a/src/backend/base/langflow/graph/graph/constants.py +++ b/src/backend/base/langflow/graph/graph/constants.py @@ -5,7 +5,6 @@ from langflow.interface.document_loaders.base import documentloader_creator from langflow.interface.embeddings.base import embedding_creator from langflow.interface.llms.base import llm_creator from langflow.interface.memories.base import memory_creator -from langflow.interface.output_parsers.base import output_parser_creator from langflow.interface.prompts.base import prompt_creator from langflow.interface.retrievers.base import retriever_creator from langflow.interface.text_splitters.base import textsplitter_creator @@ -46,7 +45,6 @@ class VertexTypesDict(LazyLoadDictBase): # **{t: types.VectorStoreVertex for t in vectorstore_creator.to_list()}, **{t: types.DocumentLoaderVertex for t in documentloader_creator.to_list()}, **{t: types.TextSplitterVertex for t in textsplitter_creator.to_list()}, - **{t: types.OutputParserVertex for t in output_parser_creator.to_list()}, **{t: types.CustomComponentVertex for t in custom_component_creator.to_list()}, **{t: types.RetrieverVertex for t in retriever_creator.to_list()}, **{t: types.ChatVertex for t in CHAT_COMPONENTS}, diff --git a/src/backend/base/langflow/graph/vertex/types.py b/src/backend/base/langflow/graph/vertex/types.py index 87f4856b2..5faeeaa8b 100644 --- a/src/backend/base/langflow/graph/vertex/types.py +++ b/src/backend/base/langflow/graph/vertex/types.py @@ -300,11 +300,6 @@ class PromptVertex(Vertex): return str(self._built_object) -class OutputParserVertex(Vertex): - def __init__(self, data: Dict, graph): - super().__init__(data, graph=graph, base_type="output_parsers") - - class CustomComponentVertex(Vertex): def __init__(self, data: Dict, graph): super().__init__(data, graph=graph, base_type="custom_components") diff --git a/src/backend/base/langflow/interface/agents/custom.py b/src/backend/base/langflow/interface/agents/custom.py index 142b77139..680bc9bf8 100644 --- a/src/backend/base/langflow/interface/agents/custom.py +++ b/src/backend/base/langflow/interface/agents/custom.py @@ -7,7 +7,7 @@ from langchain.agents.agent_toolkits.vectorstore.prompt import ROUTER_PREFIX as from langchain.agents.mrkl.prompt import FORMAT_INSTRUCTIONS from langchain.base_language import BaseLanguageModel from langchain.chains.llm import LLMChain -from langchain.sql_database import SQLDatabase +from langchain_community.utilities import SQLDatabase from langchain.tools.sql_database.prompt import QUERY_CHECKER from langchain_community.agent_toolkits import SQLDatabaseToolkit from langchain_community.agent_toolkits.json.prompt import JSON_PREFIX, JSON_SUFFIX diff --git a/src/backend/base/langflow/interface/custom_lists.py b/src/backend/base/langflow/interface/custom_lists.py index 8f428ee11..9b494e450 100644 --- a/src/backend/base/langflow/interface/custom_lists.py +++ b/src/backend/base/langflow/interface/custom_lists.py @@ -1,7 +1,7 @@ import inspect from typing import Any -from langchain import llms, memory, requests, text_splitter +from langchain import llms, memory, text_splitter from langchain_community import agent_toolkits, document_loaders, embeddings from langchain_community.chat_models import AzureChatOpenAI, ChatAnthropic, ChatOpenAI, ChatVertexAI @@ -43,8 +43,6 @@ memory_type_to_cls_dict: dict[str, Any] = { memory_name: import_class(f"langchain.memory.{memory_name}") for memory_name in memory.__all__ } -# Wrappers -wrapper_type_to_cls_dict: dict[str, Any] = {wrapper.__name__: wrapper for wrapper in [requests.RequestsWrapper]} # Embeddings embedding_type_to_cls_dict: dict[str, Any] = { diff --git a/src/backend/base/langflow/interface/importing/utils.py b/src/backend/base/langflow/interface/importing/utils.py index 24612df3c..1b921d87b 100644 --- a/src/backend/base/langflow/interface/importing/utils.py +++ b/src/backend/base/langflow/interface/importing/utils.py @@ -45,7 +45,6 @@ def import_by_type(_type: str, name: str) -> Any: "documentloaders": import_documentloader, "textsplitters": import_textsplitter, "utilities": import_utility, - "output_parsers": import_output_parser, "retrievers": import_retriever, } if _type == "models": @@ -57,11 +56,6 @@ def import_by_type(_type: str, name: str) -> Any: return loaded_func(name) -def import_output_parser(output_parser: str) -> Any: - """Import output parser from output parser name""" - return import_module(f"from langchain.output_parsers import {output_parser}") - - def import_chat_llm(llm: str) -> BaseChatModel: """Import chat llm from llm name""" return import_class(f"langchain_community.chat_models.{llm}") diff --git a/src/backend/base/langflow/interface/initialize/loading.py b/src/backend/base/langflow/interface/initialize/loading.py index fcec59cae..c1014ef90 100644 --- a/src/backend/base/langflow/interface/initialize/loading.py +++ b/src/backend/base/langflow/interface/initialize/loading.py @@ -20,7 +20,6 @@ from langflow.interface.importing.utils import import_by_type from langflow.interface.initialize.llm import initialize_vertexai from langflow.interface.initialize.utils import handle_format_kwargs, handle_node_type, handle_partial_variables from langflow.interface.initialize.vector_store import vecstore_initializer -from langflow.interface.output_parsers.base import output_parser_creator from langflow.interface.retrievers.base import retriever_creator from langflow.interface.toolkits.base import toolkits_creator from langflow.interface.utils import load_file_into_dict @@ -126,8 +125,6 @@ async def instantiate_based_on_type( return instantiate_utility(node_type, class_object, params) elif base_type == "chains": return instantiate_chains(node_type, class_object, params) - elif base_type == "output_parsers": - return instantiate_output_parser(node_type, class_object, params) elif base_type == "models": return instantiate_llm(node_type, class_object, params) elif base_type == "retrievers": @@ -201,15 +198,6 @@ def instantiate_wrapper(node_type, class_object, params): return class_object(**params) -def instantiate_output_parser(node_type, class_object, params): - if node_type in output_parser_creator.from_method_nodes: - method = output_parser_creator.from_method_nodes[node_type] - if class_method := getattr(class_object, method, None): - return class_method(**params) - raise ValueError(f"Method {method} not found in {class_object}") - return class_object(**params) - - def instantiate_llm(node_type, class_object, params: Dict): # This is a workaround so JinaChat works until streaming is implemented # if "openai_api_base" in params and "jina" in params["openai_api_base"]: @@ -514,15 +502,6 @@ def build_prompt_template(prompt, tools): "show": False, "multiline": False, }, - "output_parser": { - "type": "BaseOutputParser", - "required": False, - "placeholder": "", - "list": False, - "show": False, - "multline": False, - "value": None, - }, "template": { "type": "str", "required": True, diff --git a/src/backend/base/langflow/interface/output_parsers/__init__.py b/src/backend/base/langflow/interface/output_parsers/__init__.py deleted file mode 100644 index e69de29bb..000000000 diff --git a/src/backend/base/langflow/interface/output_parsers/base.py b/src/backend/base/langflow/interface/output_parsers/base.py deleted file mode 100644 index b38bba87e..000000000 --- a/src/backend/base/langflow/interface/output_parsers/base.py +++ /dev/null @@ -1,63 +0,0 @@ -from typing import ClassVar, Dict, List, Optional, Type - -from langchain import output_parsers -from langflow.interface.base import LangChainTypeCreator -from langflow.interface.importing.utils import import_class -from langflow.interface.utils import build_template_from_class -from langflow.services.deps import get_settings_service -from langflow.template.frontend_node.output_parsers import OutputParserFrontendNode -from langflow.utils.util import build_template_from_method -from loguru import logger - - -class OutputParserCreator(LangChainTypeCreator): - type_name: str = "output_parsers" - from_method_nodes: ClassVar[Dict] = { - "StructuredOutputParser": "from_response_schemas", - } - - @property - def frontend_node_class(self) -> Type[OutputParserFrontendNode]: - return OutputParserFrontendNode - - @property - def type_to_loader_dict(self) -> Dict: - if self.type_dict is None: - settings_service = get_settings_service() - self.type_dict = { - output_parser_name: import_class(f"langchain.output_parsers.{output_parser_name}") - # if output_parser_name is not lower case it is a class - for output_parser_name in output_parsers.__all__ - } - self.type_dict = { - name: output_parser - for name, output_parser in self.type_dict.items() - if name in settings_service.settings.OUTPUT_PARSERS or settings_service.settings.DEV - } - return self.type_dict - - def get_signature(self, name: str) -> Optional[Dict]: - try: - if name in self.from_method_nodes: - return build_template_from_method( - name, - type_to_cls_dict=self.type_to_loader_dict, - method_name=self.from_method_nodes[name], - ) - else: - return build_template_from_class( - name, - type_to_cls_dict=self.type_to_loader_dict, - ) - except ValueError as exc: - # raise ValueError("OutputParser not found") from exc - logger.error(f"OutputParser {name} not found: {exc}") - except AttributeError as exc: - logger.error(f"OutputParser {name} not loaded: {exc}") - return None - - def to_list(self) -> List[str]: - return list(self.type_to_loader_dict.keys()) - - -output_parser_creator = OutputParserCreator() diff --git a/src/backend/base/langflow/interface/types.py b/src/backend/base/langflow/interface/types.py index 32ab7ff95..46fa44a37 100644 --- a/src/backend/base/langflow/interface/types.py +++ b/src/backend/base/langflow/interface/types.py @@ -8,7 +8,6 @@ from langflow.interface.document_loaders.base import documentloader_creator from langflow.interface.embeddings.base import embedding_creator from langflow.interface.llms.base import llm_creator from langflow.interface.memories.base import memory_creator -from langflow.interface.output_parsers.base import output_parser_creator from langflow.interface.retrievers.base import retriever_creator from langflow.interface.text_splitters.base import textsplitter_creator from langflow.interface.toolkits.base import toolkits_creator @@ -48,7 +47,6 @@ def build_langchain_types_dict(): # sourcery skip: dict-assign-update-to-union documentloader_creator, textsplitter_creator, # utility_creator, - output_parser_creator, retriever_creator, ] diff --git a/src/backend/base/langflow/interface/utils.py b/src/backend/base/langflow/interface/utils.py index aa4e3f7e1..d4271eabf 100644 --- a/src/backend/base/langflow/interface/utils.py +++ b/src/backend/base/langflow/interface/utils.py @@ -106,7 +106,7 @@ def set_langchain_cache(settings): if cache_type := os.getenv("LANGFLOW_LANGCHAIN_CACHE"): try: - cache_class = import_class(f"langchain.cache.{cache_type or settings.LANGCHAIN_CACHE}") + cache_class = import_class(f"langchain_community.cache.{cache_type or settings.LANGCHAIN_CACHE}") logger.debug(f"Setting up LLM caching with {cache_class.__name__}") set_llm_cache(cache_class()) diff --git a/src/backend/base/langflow/services/auth/utils.py b/src/backend/base/langflow/services/auth/utils.py index d2290036e..f8396077c 100644 --- a/src/backend/base/langflow/services/auth/utils.py +++ b/src/backend/base/langflow/services/auth/utils.py @@ -1,21 +1,20 @@ from datetime import datetime, timedelta, timezone from typing import Annotated, Coroutine, Optional, Union from uuid import UUID +import warnings from cryptography.fernet import Fernet from fastapi import Depends, HTTPException, Security, status from fastapi.security import APIKeyHeader, APIKeyQuery, OAuth2PasswordBearer + + from jose import JWTError, jwt from sqlmodel import Session from starlette.websockets import WebSocket from langflow.services.database.models.api_key.crud import check_key from langflow.services.database.models.api_key.model import ApiKey -from langflow.services.database.models.user.crud import ( - get_user_by_id, - get_user_by_username, - update_user_last_login_at, -) +from langflow.services.database.models.user.crud import get_user_by_id, get_user_by_username, update_user_last_login_at from langflow.services.database.models.user.model import User from langflow.services.deps import get_session, get_settings_service @@ -111,11 +110,15 @@ async def get_current_user_by_jwt( raise credentials_exception try: - payload = jwt.decode( - token, - settings_service.auth_settings.SECRET_KEY.get_secret_value(), - algorithms=[settings_service.auth_settings.ALGORITHM], - ) + # Ignore warning about datetime.utcnow + with warnings.catch_warnings(): + warnings.simplefilter("ignore") + + payload = jwt.decode( + token, + settings_service.auth_settings.SECRET_KEY.get_secret_value(), + algorithms=[settings_service.auth_settings.ALGORITHM], + ) user_id: UUID = payload.get("sub") # type: ignore token_type: str = payload.get("type") # type: ignore if expires := payload.get("exp", None): @@ -285,11 +288,14 @@ def create_refresh_token(refresh_token: str, db: Session = Depends(get_session)) settings_service = get_settings_service() try: - payload = jwt.decode( - refresh_token, - settings_service.auth_settings.SECRET_KEY.get_secret_value(), - algorithms=[settings_service.auth_settings.ALGORITHM], - ) + # Ignore warning about datetime.utcnow + with warnings.catch_warnings(): + warnings.simplefilter("ignore") + payload = jwt.decode( + refresh_token, + settings_service.auth_settings.SECRET_KEY.get_secret_value(), + algorithms=[settings_service.auth_settings.ALGORITHM], + ) user_id: UUID = payload.get("sub") # type: ignore token_type: str = payload.get("type") # type: ignore @@ -349,3 +355,4 @@ def decrypt_api_key(encrypted_api_key: str, settings_service=Depends(get_setting encoded_bytes = encrypted_api_key decrypted_key = fernet.decrypt(encoded_bytes).decode() return decrypted_key + return decrypted_key diff --git a/src/backend/base/langflow/services/database/models/flow/model.py b/src/backend/base/langflow/services/database/models/flow/model.py index e814d1f3a..42cd9277d 100644 --- a/src/backend/base/langflow/services/database/models/flow/model.py +++ b/src/backend/base/langflow/services/database/models/flow/model.py @@ -1,7 +1,7 @@ # Path: src/backend/langflow/services/database/models/flow/model.py import warnings -from datetime import datetime +from datetime import datetime, timezone from typing import TYPE_CHECKING, Dict, Optional from uuid import UUID, uuid4 @@ -23,7 +23,7 @@ class FlowBase(SQLModel): icon_bg_color: Optional[str] = Field(default=None, nullable=True) data: Optional[Dict] = Field(default=None, nullable=True) is_component: Optional[bool] = Field(default=False, nullable=True) - updated_at: Optional[datetime] = Field(default_factory=datetime.utcnow, nullable=True) + updated_at: Optional[datetime] = Field(default_factory=lambda: datetime.now(timezone.utc), nullable=True) folder: Optional[str] = Field(default=None, nullable=True) @field_validator("icon_bg_color") diff --git a/src/backend/base/langflow/services/database/models/user/model.py b/src/backend/base/langflow/services/database/models/user/model.py index fa229b4b3..491ae4efc 100644 --- a/src/backend/base/langflow/services/database/models/user/model.py +++ b/src/backend/base/langflow/services/database/models/user/model.py @@ -1,4 +1,4 @@ -from datetime import datetime +from datetime import datetime, timezone from typing import TYPE_CHECKING, Optional from uuid import UUID, uuid4 @@ -17,8 +17,8 @@ class User(SQLModel, table=True): profile_image: Optional[str] = Field(default=None, nullable=True) is_active: bool = Field(default=False) is_superuser: bool = Field(default=False) - create_at: datetime = Field(default_factory=datetime.utcnow) - updated_at: datetime = Field(default_factory=datetime.utcnow) + create_at: datetime = Field(default_factory=lambda: datetime.now(timezone.utc)) + updated_at: datetime = Field(default_factory=lambda: datetime.now(timezone.utc)) last_login_at: Optional[datetime] = Field(default=None, nullable=True) api_keys: list["ApiKey"] = Relationship( back_populates="user", diff --git a/src/backend/base/langflow/services/settings/base.py b/src/backend/base/langflow/services/settings/base.py index db6ba1022..300bafd1d 100644 --- a/src/backend/base/langflow/services/settings/base.py +++ b/src/backend/base/langflow/services/settings/base.py @@ -72,7 +72,6 @@ class Settings(BaseSettings): TOOLKITS: dict = {} TEXTSPLITTERS: dict = {} UTILITIES: dict = {} - OUTPUT_PARSERS: dict = {} CUSTOM_COMPONENTS: dict = {} # Define the default LANGFLOW_DIR @@ -241,7 +240,6 @@ class Settings(BaseSettings): self.VECTORSTORES = new_settings.VECTORSTORES or {} self.DOCUMENTLOADERS = new_settings.DOCUMENTLOADERS or {} self.RETRIEVERS = new_settings.RETRIEVERS or {} - self.OUTPUT_PARSERS = new_settings.OUTPUT_PARSERS or {} self.CUSTOM_COMPONENTS = new_settings.CUSTOM_COMPONENTS or {} self.COMPONENTS_PATH = new_settings.COMPONENTS_PATH or [] self.DEV = dev diff --git a/src/backend/base/langflow/settings.py b/src/backend/base/langflow/settings.py index 9cc761b68..3f340df95 100644 --- a/src/backend/base/langflow/settings.py +++ b/src/backend/base/langflow/settings.py @@ -28,7 +28,6 @@ class Settings(BaseSettings): TOOLKITS: dict = {} TEXTSPLITTERS: dict = {} UTILITIES: dict = {} - OUTPUT_PARSERS: dict = {} CUSTOM_COMPONENTS: dict = {} DEV: bool = False @@ -102,7 +101,6 @@ class Settings(BaseSettings): self.VECTORSTORES = new_settings.VECTORSTORES or {} self.DOCUMENTLOADERS = new_settings.DOCUMENTLOADERS or {} self.RETRIEVERS = new_settings.RETRIEVERS or {} - self.OUTPUT_PARSERS = new_settings.OUTPUT_PARSERS or {} self.CUSTOM_COMPONENTS = new_settings.CUSTOM_COMPONENTS or {} self.COMPONENTS_PATH = new_settings.COMPONENTS_PATH or [] self.DEV = dev diff --git a/src/backend/base/langflow/template/field/prompt.py b/src/backend/base/langflow/template/field/prompt.py index 72c57c5db..ccc5d01a0 100644 --- a/src/backend/base/langflow/template/field/prompt.py +++ b/src/backend/base/langflow/template/field/prompt.py @@ -10,5 +10,5 @@ class DefaultPromptField(TemplateField): advanced: bool = False multiline: bool = True - input_types: list[str] = ["Document", "BaseOutputParser", "Record", "Text"] + input_types: list[str] = ["Document", "Record", "Text"] value: str = "" # Set the value to empty string diff --git a/src/backend/base/langflow/template/frontend_node/custom_components.py b/src/backend/base/langflow/template/frontend_node/custom_components.py index 456aa7466..577c89684 100644 --- a/src/backend/base/langflow/template/frontend_node/custom_components.py +++ b/src/backend/base/langflow/template/frontend_node/custom_components.py @@ -14,7 +14,6 @@ from langflow.field_typing import ( BaseLLM, BaseLoader, BaseMemory, - BaseOutputParser, BasePromptTemplate, BaseRetriever, Callable, diff --git a/src/backend/base/langflow/template/frontend_node/output_parsers.py b/src/backend/base/langflow/template/frontend_node/output_parsers.py deleted file mode 100644 index 6b33ee680..000000000 --- a/src/backend/base/langflow/template/frontend_node/output_parsers.py +++ /dev/null @@ -1,12 +0,0 @@ -from typing import Optional - - -from langflow.template.field.base import TemplateField -from langflow.template.frontend_node.base import FrontendNode - - -class OutputParserFrontendNode(FrontendNode): - @staticmethod - def format_field(field: TemplateField, name: Optional[str] = None) -> None: - FrontendNode.format_field(field, name) - field.show = True diff --git a/src/backend/base/poetry.lock b/src/backend/base/poetry.lock index 1b9cf758c..381ecd598 100644 --- 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"python_version == \"3.11\""}, + {version = ">=1.26.0,<2", markers = "python_version >= \"3.12\""}, ] python-dateutil = ">=2.8.2" pytz = ">=2020.1" @@ -2891,5 +2899,5 @@ local = [] [metadata] lock-version = "2.0" -python-versions = ">=3.10,<3.12" -content-hash = "cd3479e6f463fcdce1bef948ca71952b0650d1d7f4891ba1bc873368cd4b095d" +python-versions = ">=3.10,<3.13" +content-hash = "200c17e119f7ba7fdb64de320bdf464c65daf06f62bcc41258b32247a99e3dc1" diff --git a/src/backend/base/pyproject.toml b/src/backend/base/pyproject.toml index 1b2bc9c1c..44f32601c 100644 --- a/src/backend/base/pyproject.toml +++ b/src/backend/base/pyproject.toml @@ -25,7 +25,7 @@ documentation = "https://docs.langflow.org" langflow-base = "langflow.__main__:main" [tool.poetry.dependencies] -python = ">=3.10,<3.12" +python = ">=3.10,<3.13" fastapi = "^0.110.1" httpx = "*" uvicorn = "^0.29.0" @@ -52,7 +52,7 @@ docstring-parser = "^0.15" python-jose = "^3.3.0" pandas = "2.2.0" multiprocess = "^0.70.14" -duckdb = "^0.9.2" +duckdb = "^0.10.2" python-socketio = "^5.11.0" python-docx = "^1.1.0" jq = { version = "^1.7.0", markers = "sys_platform != 'win32'" } From 08c0732cfd69b5a29843ca49fcc2347f90df7601 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Fri, 10 May 2024 12:26:44 -0300 Subject: [PATCH 14/55] Bump werkzeug from 3.0.2 to 3.0.3 (#1841) Bumps [werkzeug](https://github.com/pallets/werkzeug) from 3.0.2 to 3.0.3. - [Release notes](https://github.com/pallets/werkzeug/releases) - [Changelog](https://github.com/pallets/werkzeug/blob/main/CHANGES.rst) - [Commits](https://github.com/pallets/werkzeug/compare/3.0.2...3.0.3) --- updated-dependencies: - dependency-name: werkzeug dependency-type: indirect ... Signed-off-by: dependabot[bot] Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> --- poetry.lock | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/poetry.lock b/poetry.lock index 3c20644f0..daae4b59c 100644 --- a/poetry.lock +++ b/poetry.lock @@ -4804,6 +4804,7 @@ files = [ {file = "lxml-5.2.1-cp36-cp36m-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c38d7b9a690b090de999835f0443d8aa93ce5f2064035dfc48f27f02b4afc3d0"}, {file = "lxml-5.2.1-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5670fb70a828663cc37552a2a85bf2ac38475572b0e9b91283dc09efb52c41d1"}, {file = "lxml-5.2.1-cp36-cp36m-manylinux_2_28_x86_64.whl", hash = "sha256:958244ad566c3ffc385f47dddde4145088a0ab893504b54b52c041987a8c1863"}, + {file = "lxml-5.2.1-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:b6241d4eee5f89453307c2f2bfa03b50362052ca0af1efecf9fef9a41a22bb4f"}, {file = "lxml-5.2.1-cp36-cp36m-musllinux_1_1_aarch64.whl", hash = "sha256:2a66bf12fbd4666dd023b6f51223aed3d9f3b40fef06ce404cb75bafd3d89536"}, {file = "lxml-5.2.1-cp36-cp36m-musllinux_1_1_ppc64le.whl", hash = "sha256:9123716666e25b7b71c4e1789ec829ed18663152008b58544d95b008ed9e21e9"}, {file = "lxml-5.2.1-cp36-cp36m-musllinux_1_1_s390x.whl", hash = "sha256:0c3f67e2aeda739d1cc0b1102c9a9129f7dc83901226cc24dd72ba275ced4218"}, @@ -4828,7 +4829,6 @@ files = [ {file = "lxml-5.2.1-cp37-cp37m-musllinux_1_2_x86_64.whl", hash = "sha256:9e2addd2d1866fe112bc6f80117bcc6bc25191c5ed1bfbcf9f1386a884252ae8"}, {file = "lxml-5.2.1-cp37-cp37m-win32.whl", hash = "sha256:f51969bac61441fd31f028d7b3b45962f3ecebf691a510495e5d2cd8c8092dbd"}, {file = "lxml-5.2.1-cp37-cp37m-win_amd64.whl", hash = "sha256:b0b58fbfa1bf7367dde8a557994e3b1637294be6cf2169810375caf8571a085c"}, - {file = "lxml-5.2.1-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:3e183c6e3298a2ed5af9d7a356ea823bccaab4ec2349dc9ed83999fd289d14d5"}, {file = "lxml-5.2.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:804f74efe22b6a227306dd890eecc4f8c59ff25ca35f1f14e7482bbce96ef10b"}, {file = "lxml-5.2.1-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:08802f0c56ed150cc6885ae0788a321b73505d2263ee56dad84d200cab11c07a"}, {file = "lxml-5.2.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0f8c09ed18ecb4ebf23e02b8e7a22a05d6411911e6fabef3a36e4f371f4f2585"}, From 71324440a28212e53cddfcb4bccdc9cfada5859e Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Fri, 10 May 2024 12:26:58 -0300 Subject: [PATCH 15/55] Bump jinja2 from 3.1.3 to 3.1.4 (#1840) Bumps [jinja2](https://github.com/pallets/jinja) from 3.1.3 to 3.1.4. - [Release notes](https://github.com/pallets/jinja/releases) - [Changelog](https://github.com/pallets/jinja/blob/main/CHANGES.rst) - [Commits](https://github.com/pallets/jinja/compare/3.1.3...3.1.4) --- updated-dependencies: - dependency-name: jinja2 dependency-type: indirect ... Signed-off-by: dependabot[bot] Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> From c69f950cbab1afe8c0f0e898cc71458028d5afd3 Mon Sep 17 00:00:00 2001 From: Cristhian Zanforlin Lousa <72977554+Cristhianzl@users.noreply.github.com> Date: Fri, 10 May 2024 12:30:45 -0300 Subject: [PATCH 16/55] Migrate Tweaks Module to Zustand Library and Add All Flows (#1847) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit * ✨ (codeTabsComponent/index.tsx): refactor code to remove unnecessary code and improve readability 📝 (codeTabsComponent/index.tsx): update comments in source code to provide better understanding of the code logic ♻️ (apiModal/index.tsx): refactor code to remove unnecessary code and improve readability 📝 (apiModal/index.tsx): update comments in source code to provide better understanding of the code logic 🔧 (tweaksStore.ts): add new store for managing tweaks data 📝 (components/index.ts): update codeTabsPropsType to use array syntax for tweak and tweaksList properties for better readability and consistency ♻️ (utils/utils.ts): refactor toTitleCase function to remove unnecessary comma and improve code readability ♻️ (utils/utils.ts): refactor groupByFamily function to remove unnecessary comma and improve code readability ♻️ (utils/utils.ts): refactor getPythonApiCode function to remove unnecessary comma and improve code readability ♻️ (utils/utils.ts): refactor getCurlCode function to remove unnecessary comma and improve code readability ♻️ (utils/utils.ts): refactor getPythonCode function to remove unnecessary comma and improve code readability ♻️ (utils/utils.ts): refactor getWidgetCode function to remove unnecessary comma and improve code readability ♻️ (utils/utils.ts): refactor getFieldTitle function to remove unnecessary comma and improve code readability ♻️ (utils/utils.ts): refactor IncrementObjectKey function to remove unnecessary comma and improve code readability ♻️ (utils/utils.ts): refactor getSetFromObject function to remove unnecessary comma and improve code readability ♻️ (utils/utils.ts): refactor getRandomName function to remove unnecessary comma and improve code readability * 📝 (codeTabsComponent/index.tsx): remove unnecessary whitespace in className ♻️ (codeTabsComponent/index.tsx): refactor code to improve readability and remove unnecessary code ♻️ (apiModal/index.tsx): refactor code to improve readability and remove unnecessary code ♻️ (tweaksStore.ts): refactor code to improve readability and remove unnecessary code ✨ (zustand/tweaks/index.ts): add types for tweaks store * ✨ (codeTabsComponent/index.tsx): refactor code to improve readability and remove unnecessary code ♻️ (codeTabsComponent/index.tsx): refactor code to improve readability and remove unnecessary code ♻️ (utils/utils.ts): refactor code to improve readability and remove unnecessary code ✅ (tweaks_test.spec.ts): add end-to-end test to check if tweaks are updating when something on the flow changes * 🐛 (accordionComponent/index.tsx): fix variable name from 'trigger' to 'keyValue' for better clarity and readability ♻️ (accordionComponent/index.tsx): refactor code to use 'defaultValue' prop instead of manually setting the value in the AccordionItem component 🐛 (codeTabsComponent/index.tsx): remove unused 'openAccordions' function ♻️ (codeTabsComponent/index.tsx): refactor code to remove unnecessary condition for opening accordions in the onValueChange event handler ♻️ (codeTabsComponent/index.tsx): refactor code to remove unused 'open' prop in AccordionItem component ♻️ (codeTabsComponent/index.tsx): refactor code to remove unused 'openAccordion' state variable ♻️ (codeTabsComponent/index.tsx): refactor code to remove unused 'openAccordions' function call in the onValueChange event handler * 🐛 (apiModal/index.tsx): remove unnecessary comma after ref parameter in ApiModal component ♻️ (apiModal/index.tsx): refactor code to improve readability and remove unnecessary commas in function parameters ✨ (apiModal/index.tsx): add conditional check before assigning values to tabs array to prevent errors when tabs is undefined or empty * 🐛 (index.tsx): remove unnecessary defaultValue prop from Accordion component ♻️ (index.tsx): refactor AccordionItem component to remove defaultValue prop and simplify code * 🐛 (apiModal/index.tsx): remove unnecessary comma after ref parameter in function signature ♻️ (apiModal/index.tsx): refactor code to improve readability and remove unnecessary comma after ref parameter in function signature * refactor tweaks * ✨ (codeTabsComponent/index.tsx): add autoFocus prop to the tweaks switch to prevent it from automatically gaining focus when rendered ♻️ (codeTabsComponent/index.tsx): refactor classNames in the api-modal-according-display div to remove unnecessary whitespace ♻️ (codeTabsComponent/index.tsx): refactor mapping of templateFields in the api-modal-according-display div to improve readability and remove unnecessary parentheses ♻️ (codeTabsComponent/index.tsx): refactor mapping of templateFields in the api-modal-according-display div to improve readability and remove unnecessary parentheses ♻️ (codeTabsComponent/index.tsx): refactor mapping of templateFields in the api-modal-according-display div to improve readability and remove unnecessary parentheses ♻️ (codeTabsComponent/index.tsx): refactor mapping of templateFields in the api-modal-according-display div to improve readability and remove unnecessary parentheses ♻️ (codeTabsComponent/index.tsx): refactor mapping of templateFields in the api-modal-according-display div to improve readability and remove unnecessary parentheses ♻️ (codeTabsComponent/index.tsx): refactor mapping of templateFields in the api-modal-according-display div to improve readability and remove unnecessary parentheses ♻️ (codeTabsComponent/index.tsx): refactor mapping of templateFields in the api-modal-according-display div to improve readability and remove unnecessary parentheses ♻️ (codeTabsComponent/index.tsx): refactor mapping of templateFields in the api-modal-according-display div to improve readability and remove unnecessary parentheses ♻️ (codeTabsComponent/index.tsx): refactor mapping of templateFields in the api-modal-according-display div to improve readability and remove unnecessary parentheses ♻️ (codeTabsComponent/index.tsx): refactor mapping of templateFields in the api-modal-according-display div to improve readability and remove unnecessary parentheses ♻️ (codeTabsComponent/index.tsx): refactor mapping of templateFields in the api-modal-according-display div to improve readability and remove unnecessary parentheses ♻️ (codeTabsComponent/index.tsx): refactor mapping of templateFields in the api-modal-according-display div to improve readability and remove unnecessary parentheses ♻️ (codeTabsComponent/index.tsx): refactor mapping of templateFields in the api-modal-according-display div to improve readability and remove unnecessary parentheses ♻️ (codeTabsComponent/index.tsx): refactor mapping of templateFields in the api-modal-according-display div to improve readability and remove unnecessary parentheses ♻️ (codeTabsComponent/index.tsx): refactor mapping of templateFields in the api-modal-according-display div to improve readability and remove unnecessary parentheses ♻️ (codeTabsComponent/index.tsx): refactor mapping of templateFields in the api-modal-according-display div to improve readability and remove unnecessary parentheses ♻️ (codeTabsComponent/index.tsx): refactor mapping of templateFields in the api-modal-according-display div to improve readability and remove unnecessary parentheses ♻️ (codeTabsComponent/index.tsx): refactor mapping of templateFields in the api-modal-according-display div to improve readability and remove unnecessary parentheses ♻️ (codeTabsComponent/index.tsx): refactor mapping of templateFields in the api-modal-according-display div to improve readability and remove unnecessary parentheses ♻️ (codeTabsComponent/index.tsx): refactor mapping of templateFields in the api-modal-according-display div to improve readability and remove unnecessary parentheses ♻️ (codeTabsComponent/index.tsx): refactor mapping of templateFields in the api-modal-according-display div to improve readability and remove unnecessary parentheses ♻️ (codeTabsComponent/index.tsx): refactor mapping of templateFields in the api-modal-according-display div to improve readability and remove unnecessary parentheses ♻️ (codeTabsComponent/index.tsx): refactor mapping of templateFields in the api-modal-according-display div to improve readability and remove unnecessary parentheses ♻️ (codeTabsComponent/index.tsx): refactor mapping of templateFields in the api-modal-according-display div to improve readability and remove unnecessary parentheses ♻️ (codeTabsComponent/index.tsx): refactor mapping of templateFields in the api-modal-according-display div to improve readability and remove unnecessary parentheses ♻️ (codeTabsComponent/index.tsx): refactor mapping of templateFields in the api-modal-according-display div to improve readability and remove unnecessary parentheses ♻️ (codeTabsComponent/index.tsx): refactor mapping of templateFields in the api-modal-according-display div to improve readability and remove unnecessary parentheses ♻️ (codeTabsComponent/index.tsx): refactor mapping of templateFields in the api-modal-according-display div to improve readability and remove unnecessary parentheses ♻️ (codeTabsComponent/index.tsx): refactor mapping of templateFields in the api-modal-according-display div to improve readability and remove unnecessary parentheses ♻️ (codeTabsComponent/index.tsx): refactor mapping of templateFields in the api * fix tests on tweaks --- .../components/accordionComponent/index.tsx | 7 +- .../src/components/chatComponent/index.tsx | 2 +- .../components/codeTabsComponent/index.tsx | 161 ++++++------ src/frontend/src/modals/apiModal/index.tsx | 245 ------------------ .../modals/apiModal/utils/build-content.tsx | 10 + .../src/modals/apiModal/utils/build-tweaks.ts | 8 + .../utils/check-can-build-tweak-object.ts | 13 + .../apiModal/utils/get-changes-types.ts | 26 ++ .../utils/get-nodes-with-default-value.ts | 28 ++ .../src/modals/apiModal/utils/get-value.ts | 29 +++ .../src/modals/apiModal/views/index.tsx | 211 +++++++++++++++ src/frontend/src/stores/tweaksStore.ts | 9 + src/frontend/src/types/components/index.ts | 17 +- .../src/types/zustand/tweaks/index.ts | 8 + src/frontend/src/utils/reactflowUtils.ts | 111 ++++---- src/frontend/src/utils/utils.ts | 53 +--- .../tests/end-to-end/tweaks_test.spec.ts | 72 ++++- 17 files changed, 575 insertions(+), 435 deletions(-) delete mode 100644 src/frontend/src/modals/apiModal/index.tsx create mode 100644 src/frontend/src/modals/apiModal/utils/build-content.tsx create mode 100644 src/frontend/src/modals/apiModal/utils/build-tweaks.ts create mode 100644 src/frontend/src/modals/apiModal/utils/check-can-build-tweak-object.ts create mode 100644 src/frontend/src/modals/apiModal/utils/get-changes-types.ts create mode 100644 src/frontend/src/modals/apiModal/utils/get-nodes-with-default-value.ts create mode 100644 src/frontend/src/modals/apiModal/utils/get-value.ts create mode 100644 src/frontend/src/modals/apiModal/views/index.tsx create mode 100644 src/frontend/src/stores/tweaksStore.ts create mode 100644 src/frontend/src/types/zustand/tweaks/index.ts diff --git a/src/frontend/src/components/accordionComponent/index.tsx b/src/frontend/src/components/accordionComponent/index.tsx index fd9e42580..fdcf8b96c 100644 --- a/src/frontend/src/components/accordionComponent/index.tsx +++ b/src/frontend/src/components/accordionComponent/index.tsx @@ -15,17 +15,16 @@ export default function AccordionComponent({ sideBar, }: AccordionComponentType): JSX.Element { const [value, setValue] = useState( - open.length === 0 ? "" : getOpenAccordion() + open.length === 0 ? "" : getOpenAccordion(), ); function getOpenAccordion(): string { let value = ""; open.forEach((el) => { - if (el == trigger) { - value = trigger; + if (el == keyValue) { + value = keyValue; } }); - return value; } diff --git a/src/frontend/src/components/chatComponent/index.tsx b/src/frontend/src/components/chatComponent/index.tsx index 7d55f9229..5de2198a0 100644 --- a/src/frontend/src/components/chatComponent/index.tsx +++ b/src/frontend/src/components/chatComponent/index.tsx @@ -1,7 +1,7 @@ import { Transition } from "@headlessui/react"; import { useEffect, useMemo, useRef, useState } from "react"; import IOModal from "../../modals/IOModal"; -import ApiModal from "../../modals/apiModal"; +import ApiModal from "../../modals/apiModal/views"; import ShareModal from "../../modals/shareModal"; import useFlowStore from "../../stores/flowStore"; import useFlowsManagerStore from "../../stores/flowsManagerStore"; diff --git a/src/frontend/src/components/codeTabsComponent/index.tsx b/src/frontend/src/components/codeTabsComponent/index.tsx index 355ddb1ec..c40c11439 100644 --- a/src/frontend/src/components/codeTabsComponent/index.tsx +++ b/src/frontend/src/components/codeTabsComponent/index.tsx @@ -41,6 +41,8 @@ import IconComponent from "../genericIconComponent"; import InputComponent from "../inputComponent"; import KeypairListComponent from "../keypairListComponent"; import ShadTooltip from "../shadTooltipComponent"; +import { Label } from "../ui/label"; +import { Switch } from "../ui/switch"; export default function CodeTabsComponent({ flow, @@ -49,14 +51,13 @@ export default function CodeTabsComponent({ setActiveTab, isMessage, tweaks, + setActiveTweaks, + activeTweaks, }: codeTabsPropsType) { const [isCopied, setIsCopied] = useState(false); const [data, setData] = useState(flow ? flow["data"]!["nodes"] : null); - const [openAccordion, setOpenAccordion] = useState([]); const dark = useDarkStore((state) => state.dark); const unselectAll = useFlowStore((state) => state.unselectAll); - const setNode = useFlowStore((state) => state.setNode); - const [errorDuplicateKey, setErrorDuplicateKey] = useState(false); useEffect(() => { @@ -107,21 +108,6 @@ export default function CodeTabsComponent({ URL.revokeObjectURL(url); }; - function openAccordions() { - let accordionsToOpen: string[] = []; - tweaks?.tweak!.current.forEach((el) => { - Object.keys(el).forEach((key) => { - if (Object.keys(el[key]).length > 0) { - accordionsToOpen.push(key); - setOpenAccordion(accordionsToOpen); - } - }); - }); - - if (accordionsToOpen.length == 0) { - setOpenAccordion([]); - } - } return ( { setActiveTab(value); - if (value === "3") { - openAccordions(); - } }} >
@@ -155,27 +138,58 @@ export default function CodeTabsComponent({ ) : (
)} - {Number(activeTab) < 4 && ( -
- - + Tweaks +
- )} + + {Number(activeTab) < 4 && ( + <> + + + + )} +
{tabs.map((tab, idx) => ( @@ -205,14 +219,12 @@ export default function CodeTabsComponent({
{data?.map((node: any, i) => (
- {tweaks?.tweaksList!.current.includes( - node["data"]["id"] - ) && ( + {tweaks?.tweaksList!.includes(node["data"]["id"]) && ( {node["data"]["node"]["display_name"]}
} - open={openAccordion} keyValue={node["data"]["id"]} >
@@ -247,8 +258,8 @@ export default function CodeTabsComponent({ .show && LANGFLOW_SUPPORTED_TYPES.has( node.data.node.template[templateField] - .type - ) + .type, + ), ) .map((templateField, indx) => { return ( @@ -298,12 +309,12 @@ export default function CodeTabsComponent({ ].value = target; return newInputList; }); - tweaks.buildTweakObject!( + tweaks?.buildTweakObject!( node["data"]["id"], target, node.data.node.template[ templateField - ] + ], ); }} /> @@ -339,13 +350,13 @@ export default function CodeTabsComponent({ ].value = target; return newInputList; }); - tweaks.buildTweakObject!( + tweaks?.buildTweakObject!( node["data"]["id"], target, node.data.node .template[ templateField - ] + ], ); }} /> @@ -383,12 +394,12 @@ export default function CodeTabsComponent({ ].value = target; return newInputList; }); - tweaks.buildTweakObject!( + tweaks?.buildTweakObject!( node["data"]["id"], target, node.data.node.template[ templateField - ] + ], ); }} /> @@ -416,12 +427,12 @@ export default function CodeTabsComponent({ ].value = e; return newInputList; }); - tweaks.buildTweakObject!( + tweaks?.buildTweakObject!( node["data"]["id"], e, node.data.node.template[ templateField - ] + ], ); }} size="small" @@ -447,7 +458,7 @@ export default function CodeTabsComponent({ ].fileTypes } onFileChange={( - value: any + value: any, ) => { node.data.node.template[ templateField @@ -490,12 +501,12 @@ export default function CodeTabsComponent({ ].value = target; return newInputList; }); - tweaks.buildTweakObject!( + tweaks?.buildTweakObject!( node["data"]["id"], target, node.data.node.template[ templateField - ] + ], ); }} /> @@ -525,12 +536,12 @@ export default function CodeTabsComponent({ ].value = target; return newInputList; }); - tweaks.buildTweakObject!( + tweaks?.buildTweakObject!( node["data"]["id"], target, node.data.node.template[ templateField - ] + ], ); }} value={ @@ -582,12 +593,12 @@ export default function CodeTabsComponent({ ].value = target; return newInputList; }); - tweaks.buildTweakObject!( + tweaks?.buildTweakObject!( node["data"]["id"], target, node.data.node.template[ templateField - ] + ], ); }} /> @@ -623,12 +634,12 @@ export default function CodeTabsComponent({ ].value = target; return newInputList; }); - tweaks.buildTweakObject!( + tweaks?.buildTweakObject!( node["data"]["id"], target, node.data.node.template[ templateField - ] + ], ); }} /> @@ -664,12 +675,12 @@ export default function CodeTabsComponent({ ].value = target; return newInputList; }); - tweaks.buildTweakObject!( + tweaks?.buildTweakObject!( node["data"]["id"], target, node.data.node.template[ templateField - ] + ], ); }} /> @@ -693,7 +704,7 @@ export default function CodeTabsComponent({ node.data.node! .template[ templateField - ].value + ].value, ) } duplicateKey={ @@ -702,15 +713,15 @@ export default function CodeTabsComponent({ onChange={(target) => { const valueToNumbers = convertValuesToNumbers( - target + target, ); node.data.node!.template[ templateField ].value = valueToNumbers; setErrorDuplicateKey( hasDuplicateKeys( - valueToNumbers - ) + valueToNumbers, + ), ); setData((old) => { let newInputList = @@ -722,12 +733,12 @@ export default function CodeTabsComponent({ ].value = target; return newInputList; }); - tweaks.buildTweakObject!( + tweaks?.buildTweakObject!( node["data"]["id"], target, node.data.node.template[ templateField - ] + ], ); }} isList={ @@ -767,12 +778,12 @@ export default function CodeTabsComponent({ ].value = target; return newInputList; }); - tweaks.buildTweakObject!( + tweaks?.buildTweakObject!( node["data"]["id"], target, node.data.node.template[ templateField - ] + ], ); }} /> @@ -795,7 +806,7 @@ export default function CodeTabsComponent({ )} - {tweaks?.tweaksList!.current.length === 0 && ( + {tweaks?.tweaksList!.length === 0 && ( <>
No tweaks are available for this flow. diff --git a/src/frontend/src/modals/apiModal/index.tsx b/src/frontend/src/modals/apiModal/index.tsx deleted file mode 100644 index 9e847aae5..000000000 --- a/src/frontend/src/modals/apiModal/index.tsx +++ /dev/null @@ -1,245 +0,0 @@ -import "ace-builds/src-noconflict/ext-language_tools"; -import "ace-builds/src-noconflict/mode-python"; -import "ace-builds/src-noconflict/theme-github"; -import "ace-builds/src-noconflict/theme-twilight"; -import { - ReactNode, - forwardRef, - useContext, - useEffect, - useRef, - useState, -} from "react"; -// import "ace-builds/webpack-resolver"; -import CodeTabsComponent from "../../components/codeTabsComponent"; -import IconComponent from "../../components/genericIconComponent"; -import { - EXPORT_CODE_DIALOG, - LANGFLOW_SUPPORTED_TYPES, -} from "../../constants/constants"; -import { AuthContext } from "../../contexts/authContext"; -import useFlowStore from "../../stores/flowStore"; -import { TemplateVariableType } from "../../types/api"; -import { tweakType, uniqueTweakType } from "../../types/components"; -import { FlowType, NodeType } from "../../types/flow/index"; -import { buildTweaks, convertArrayToObj } from "../../utils/reactflowUtils"; -import { - getCurlCode, - getPythonApiCode, - getPythonCode, - getWidgetCode, - tabsArray, -} from "../../utils/utils"; -import BaseModal from "../baseModal"; - -const ApiModal = forwardRef( - ( - { - flow, - children, - }: { - flow: FlowType; - children: ReactNode; - }, - ref - ) => { - const { autoLogin } = useContext(AuthContext); - const [open, setOpen] = useState(false); - const [activeTab, setActiveTab] = useState("0"); - const tweak = useRef([]); - const tweaksList = useRef([]); - const [getTweak, setTweak] = useState([]); - const flowState = useFlowStore((state) => state.flowState); - const pythonApiCode = getPythonApiCode(flow, autoLogin, tweak.current); - const curl_code = getCurlCode(flow, autoLogin, tweak.current); - const pythonCode = getPythonCode(flow, tweak.current); - const widgetCode = getWidgetCode(flow, autoLogin, flowState); - const tweaksCode = buildTweaks(flow); - const codesArray = [ - curl_code, - pythonApiCode, - pythonCode, - widgetCode, - pythonCode, - ]; - const [tabs, setTabs] = useState(tabsArray(codesArray, 0)); - - function startState() { - tweak.current = []; - setTweak([]); - tweaksList.current = []; - } - - useEffect(() => { - if (flow["data"]!["nodes"].length == 0) { - startState(); - } else { - tweak.current = []; - const t = buildTweaks(flow); - tweak.current.push(t); - } - - filterNodes(); - - if (Object.keys(tweaksCode).length > 0) { - setActiveTab("0"); - setTabs(tabsArray(codesArray, 1)); - } else { - setTabs(tabsArray(codesArray, 1)); - } - }, [flow["data"]!["nodes"], open]); - - function filterNodes() { - let arrNodesWithValues: string[] = []; - - flow["data"]!["nodes"].forEach((node) => { - if (!node["data"]["node"]["template"]) { - return; - } - Object.keys(node["data"]["node"]["template"]) - .filter( - (templateField) => - templateField.charAt(0) !== "_" && - node.data.node.template[templateField].show && - LANGFLOW_SUPPORTED_TYPES.has( - node.data.node.template[templateField].type - ) - ) - .map((n, i) => { - arrNodesWithValues.push(node["id"]); - }); - }); - - tweaksList.current = arrNodesWithValues.filter((value, index, self) => { - return self.indexOf(value) === index; - }); - } - function buildTweakObject( - tw: string, - changes: string | string[] | boolean | number | Object[] | Object, - template: TemplateVariableType - ) { - if (typeof changes === "string" && template.type === "float") { - changes = parseFloat(changes); - } - if (typeof changes === "string" && template.type === "int") { - changes = parseInt(changes); - } - if (template.list === true && Array.isArray(changes)) { - changes = changes?.filter((x) => x !== ""); - } - - if (template.type === "dict" && Array.isArray(changes)) { - changes = convertArrayToObj(changes); - } - - if (template.type === "NestedDict") { - changes = JSON.stringify(changes); - } - - const existingTweak = tweak.current.find((element) => - element.hasOwnProperty(tw) - ); - - if (existingTweak) { - existingTweak[tw][template["name"]!] = changes as string; - - if (existingTweak[tw][template["name"]!] == template.value) { - tweak.current.forEach((element) => { - if (element[tw] && Object.keys(element[tw])?.length === 0) { - tweak.current = tweak.current.filter((obj) => { - const prop = obj[Object.keys(obj)[0]].prop; - return prop !== undefined && prop !== null && prop !== ""; - }); - } - }); - } - } else { - const newTweak = { - [tw]: { - [template["name"]!]: changes, - }, - } as uniqueTweakType; - tweak.current.push(newTweak); - } - - const pythonApiCode = getPythonApiCode(flow, autoLogin, tweak.current); - const curl_code = getCurlCode(flow, autoLogin, tweak.current); - const pythonCode = getPythonCode(flow, tweak.current); - const widgetCode = getWidgetCode(flow, autoLogin, flowState); - - tabs![0].code = curl_code; - tabs![1].code = pythonApiCode; - tabs![2].code = pythonCode; - tabs![3].code = widgetCode; - - setTweak(tweak.current); - } - - function buildContent(value: string) { - const htmlContent = ( -
- {value != null && value != "" ? value : "None"} -
- ); - return htmlContent; - } - - function getValue( - value: string, - node: NodeType, - template: TemplateVariableType - ) { - let returnValue = value ?? ""; - - if (getTweak.length > 0) { - for (const obj of getTweak) { - Object.keys(obj).forEach((key) => { - const value = obj[key]; - if (key == node["id"]) { - Object.keys(value).forEach((key) => { - if (key == template["name"]) { - returnValue = value[key]; - } - }); - } - }); - } - } else { - return value ?? ""; - } - return returnValue; - } - - return ( - - {children} - - API - - - - - - ); - } -); - -export default ApiModal; diff --git a/src/frontend/src/modals/apiModal/utils/build-content.tsx b/src/frontend/src/modals/apiModal/utils/build-content.tsx new file mode 100644 index 000000000..80468fe71 --- /dev/null +++ b/src/frontend/src/modals/apiModal/utils/build-content.tsx @@ -0,0 +1,10 @@ +export function buildContent(value: string) { + const htmlContent = ( +
+ {value != null && value != "" ? value : "None"} +
+ ); + return htmlContent; +} + +export default buildContent; diff --git a/src/frontend/src/modals/apiModal/utils/build-tweaks.ts b/src/frontend/src/modals/apiModal/utils/build-tweaks.ts new file mode 100644 index 000000000..82d35302a --- /dev/null +++ b/src/frontend/src/modals/apiModal/utils/build-tweaks.ts @@ -0,0 +1,8 @@ +import { FlowType } from "../../../types/flow"; + +export function buildTweaks(flow: FlowType) { + return flow.data!.nodes.reduce((acc, node) => { + acc[node.data.id] = {}; + return acc; + }, {}); +} diff --git a/src/frontend/src/modals/apiModal/utils/check-can-build-tweak-object.ts b/src/frontend/src/modals/apiModal/utils/check-can-build-tweak-object.ts new file mode 100644 index 000000000..5a859cae8 --- /dev/null +++ b/src/frontend/src/modals/apiModal/utils/check-can-build-tweak-object.ts @@ -0,0 +1,13 @@ +import { LANGFLOW_SUPPORTED_TYPES } from "../../../constants/constants"; + +export const checkCanBuildTweakObject = (element, templateField) => { + return ( + element.data.node.template[templateField] && + templateField.charAt(0) !== "_" && + element.data.node.template[templateField].show && + LANGFLOW_SUPPORTED_TYPES.has( + element.data.node.template[templateField].type, + ) && + templateField !== "code" + ); +}; diff --git a/src/frontend/src/modals/apiModal/utils/get-changes-types.ts b/src/frontend/src/modals/apiModal/utils/get-changes-types.ts new file mode 100644 index 000000000..e8e912ff3 --- /dev/null +++ b/src/frontend/src/modals/apiModal/utils/get-changes-types.ts @@ -0,0 +1,26 @@ +import { TemplateVariableType } from "../../../types/api"; +import { convertArrayToObj } from "../../../utils/reactflowUtils"; + +export const getChangesType = ( + changes: string | string[] | boolean | number | Object[] | Object, + template: TemplateVariableType, +) => { + if (typeof changes === "string" && template.type === "float") { + changes = parseFloat(changes); + } + if (typeof changes === "string" && template.type === "int") { + changes = parseInt(changes); + } + if (template.list === true && Array.isArray(changes)) { + changes = changes?.filter((x) => x !== ""); + } + + if (template.type === "dict" && Array.isArray(changes)) { + changes = convertArrayToObj(changes); + } + + if (template.type === "NestedDict") { + changes = JSON.stringify(changes); + } + return changes; +}; diff --git a/src/frontend/src/modals/apiModal/utils/get-nodes-with-default-value.ts b/src/frontend/src/modals/apiModal/utils/get-nodes-with-default-value.ts new file mode 100644 index 000000000..fb30a57a1 --- /dev/null +++ b/src/frontend/src/modals/apiModal/utils/get-nodes-with-default-value.ts @@ -0,0 +1,28 @@ +import { LANGFLOW_SUPPORTED_TYPES } from "../../../constants/constants"; + +export const getNodesWithDefaultValue = (flow) => { + let arrNodesWithValues: string[] = []; + + flow["data"]!["nodes"].forEach((node) => { + if (!node["data"]["node"]["template"]) { + return; + } + Object.keys(node["data"]["node"]["template"]) + .filter( + (templateField) => + templateField.charAt(0) !== "_" && + node.data.node.template[templateField].show && + LANGFLOW_SUPPORTED_TYPES.has( + node.data.node.template[templateField].type, + ), + ) + .map((n, i) => { + arrNodesWithValues.push(node["id"]); + }); + }); + + const tweaksListFiltered = arrNodesWithValues.filter((value, index, self) => { + return self.indexOf(value) === index; + }); + return tweaksListFiltered; +}; diff --git a/src/frontend/src/modals/apiModal/utils/get-value.ts b/src/frontend/src/modals/apiModal/utils/get-value.ts new file mode 100644 index 000000000..df8e5bdde --- /dev/null +++ b/src/frontend/src/modals/apiModal/utils/get-value.ts @@ -0,0 +1,29 @@ +import { TemplateVariableType } from "../../../types/api"; +import { NodeType } from "../../../types/flow"; + +export const getValue = ( + value: string, + node: NodeType, + template: TemplateVariableType, + tweak: Object[], +) => { + let returnValue = value ?? ""; + + if (tweak.length > 0) { + for (const obj of tweak) { + Object.keys(obj).forEach((key) => { + const value = obj[key]; + if (key == node["id"]) { + Object.keys(value).forEach((key) => { + if (key == template["name"]) { + returnValue = value[key]; + } + }); + } + }); + } + } else { + return value ?? ""; + } + return returnValue; +}; diff --git a/src/frontend/src/modals/apiModal/views/index.tsx b/src/frontend/src/modals/apiModal/views/index.tsx new file mode 100644 index 000000000..6aebb7618 --- /dev/null +++ b/src/frontend/src/modals/apiModal/views/index.tsx @@ -0,0 +1,211 @@ +import "ace-builds/src-noconflict/ext-language_tools"; +import "ace-builds/src-noconflict/mode-python"; +import "ace-builds/src-noconflict/theme-github"; +import "ace-builds/src-noconflict/theme-twilight"; +import { ReactNode, forwardRef, useContext, useEffect, useState } from "react"; +// import "ace-builds/webpack-resolver"; +import { cloneDeep } from "lodash"; +import CodeTabsComponent from "../../../components/codeTabsComponent"; +import IconComponent from "../../../components/genericIconComponent"; +import { EXPORT_CODE_DIALOG } from "../../../constants/constants"; +import { AuthContext } from "../../../contexts/authContext"; +import { useTweaksStore } from "../../../stores/tweaksStore"; +import { TemplateVariableType } from "../../../types/api"; +import { uniqueTweakType } from "../../../types/components"; +import { FlowType } from "../../../types/flow/index"; +import { + getCurlCode, + getPythonApiCode, + getPythonCode, + getWidgetCode, + tabsArray, +} from "../../../utils/utils"; +import BaseModal from "../../baseModal"; +import { buildContent } from "../utils/build-content"; +import { buildTweaks } from "../utils/build-tweaks"; +import { checkCanBuildTweakObject } from "../utils/check-can-build-tweak-object"; +import { getChangesType } from "../utils/get-changes-types"; +import { getNodesWithDefaultValue } from "../utils/get-nodes-with-default-value"; +import { getValue } from "../utils/get-value"; + +const ApiModal = forwardRef( + ( + { + flow, + children, + }: { + flow: FlowType; + children: ReactNode; + }, + ref, + ) => { + const tweak = useTweaksStore((state) => state.tweak); + const addTweaks = useTweaksStore((state) => state.setTweak); + const setTweaksList = useTweaksStore((state) => state.setTweaksList); + const tweaksList = useTweaksStore((state) => state.tweaksList); + + const [activeTweaks, setActiveTweaks] = useState(false); + const { autoLogin } = useContext(AuthContext); + const [open, setOpen] = useState(false); + const [activeTab, setActiveTab] = useState("0"); + const pythonApiCode = getPythonApiCode(flow?.id, autoLogin, tweak); + const curl_code = getCurlCode(flow?.id, autoLogin, tweak); + const pythonCode = getPythonCode(flow?.name, tweak); + const widgetCode = getWidgetCode(flow?.id, flow?.name, autoLogin); + const tweaksCode = buildTweaks(flow); + const codesArray = [ + curl_code, + pythonApiCode, + pythonCode, + widgetCode, + pythonCode, + ]; + const [tabs, setTabs] = useState(tabsArray(codesArray, 0)); + + const canShowTweaks = + flow && + flow["data"] && + flow["data"]!["nodes"] && + tweak && + tweak?.length > 0 && + activeTweaks === true; + + const buildTweaksInitialState = () => { + const newTweak: any = []; + const t = buildTweaks(flow); + newTweak.push(t); + addTweaks(newTweak); + addCodes(newTweak); + }; + + useEffect(() => { + if (flow["data"]!["nodes"].length == 0) { + addTweaks([]); + setTweaksList([]); + } else { + buildTweaksInitialState(); + } + + filterNodes(); + + if (Object.keys(tweaksCode).length > 0) { + setActiveTab("0"); + setTabs(tabsArray(codesArray, 1)); + } else { + setTabs(tabsArray(codesArray, 1)); + } + }, [flow["data"]!["nodes"], open]); + + useEffect(() => { + if (canShowTweaks) { + const nodes = flow["data"]!["nodes"]; + nodes.forEach((element) => { + const nodeId = element["id"]; + const template = element["data"]["node"]["template"]; + + Object.keys(template).forEach((templateField) => { + if (checkCanBuildTweakObject(element, templateField)) { + buildTweakObject( + nodeId, + element.data.node.template[templateField].value, + element.data.node.template[templateField], + ); + } + }); + }); + } else { + buildTweaksInitialState(); + } + }, [activeTweaks]); + + const filterNodes = () => { + setTweaksList(getNodesWithDefaultValue(flow)); + }; + + async function buildTweakObject( + tw: string, + changes: string | string[] | boolean | number | Object[] | Object, + template: TemplateVariableType, + ) { + changes = getChangesType(changes, template); + + const existingTweak = tweak.find((element) => element.hasOwnProperty(tw)); + + if (existingTweak) { + existingTweak[tw][template["name"]!] = changes as string; + + if (existingTweak[tw][template["name"]!] == template.value) { + tweak.forEach((element) => { + if (element[tw] && Object.keys(element[tw])?.length === 0) { + const filteredTweaks = tweak.filter((obj) => { + const prop = obj[Object.keys(obj)[0]].prop; + return prop !== undefined && prop !== null && prop !== ""; + }); + addTweaks(filteredTweaks); + } + }); + } + } else { + const newTweak = { + [tw]: { + [template["name"]!]: changes, + }, + } as uniqueTweakType; + tweak.push(newTweak); + } + + if (tweak && tweak.length > 0) { + const cloneTweak = cloneDeep(tweak); + addCodes(cloneTweak); + addTweaks(cloneTweak); + } + } + + const addCodes = (cloneTweak) => { + const pythonApiCode = getPythonApiCode(flow?.id, autoLogin, cloneTweak); + const curl_code = getCurlCode(flow?.id, autoLogin, cloneTweak); + const pythonCode = getPythonCode(flow?.name, cloneTweak); + const widgetCode = getWidgetCode(flow?.id, flow?.name, autoLogin); + + if (tabs && tabs?.length > 0) { + tabs![0].code = curl_code; + tabs![1].code = pythonApiCode; + tabs![2].code = pythonCode; + tabs![3].code = widgetCode; + } + }; + + return ( + + {children} + + API + + + + + + ); + }, +); + +export default ApiModal; diff --git a/src/frontend/src/stores/tweaksStore.ts b/src/frontend/src/stores/tweaksStore.ts new file mode 100644 index 000000000..cbf035b6f --- /dev/null +++ b/src/frontend/src/stores/tweaksStore.ts @@ -0,0 +1,9 @@ +import { create } from "zustand"; +import { TweaksStoreType } from "../types/zustand/tweaks"; + +export const useTweaksStore = create((set, get) => ({ + tweak: [], + setTweak: (tweak) => set({ tweak }), + tweaksList: [], + setTweaksList: (tweaksList) => set({ tweaksList }), +})); diff --git a/src/frontend/src/types/components/index.ts b/src/frontend/src/types/components/index.ts index 2a3ee29b7..d883b7014 100644 --- a/src/frontend/src/types/components/index.ts +++ b/src/frontend/src/types/components/index.ts @@ -511,7 +511,7 @@ export type nodeToolbarPropsType = { updateNodeCode?: ( newNodeClass: APIClassType, code: string, - name: string + name: string, ) => void; setShowState: (show: boolean | SetStateAction) => void; isOutdated?: boolean; @@ -561,7 +561,7 @@ export type chatMessagePropsType = { updateChat: ( chat: ChatMessageType, message: string, - stream_url?: string + stream_url?: string, ) => void; }; @@ -646,20 +646,23 @@ export type codeTabsPropsType = { setActiveTab: (value: string) => void; isMessage?: boolean; tweaks?: { - tweak?: { current: tweakType }; - tweaksList?: { current: Array }; + tweak?: tweakType; + tweaksList?: Array; buildContent?: (value: string) => ReactNode; getValue?: ( value: string, node: NodeType, - template: TemplateVariableType + template: TemplateVariableType, + tweak: tweakType, ) => string; buildTweakObject?: ( tw: string, changes: string | string[] | boolean | number | Object[] | Object, - template: TemplateVariableType - ) => string | void; + template: TemplateVariableType, + ) => Promise; }; + activeTweaks?: boolean; + setActiveTweaks?: (value: boolean) => void; }; export type crashComponentPropsType = { diff --git a/src/frontend/src/types/zustand/tweaks/index.ts b/src/frontend/src/types/zustand/tweaks/index.ts new file mode 100644 index 000000000..3eb0a5f73 --- /dev/null +++ b/src/frontend/src/types/zustand/tweaks/index.ts @@ -0,0 +1,8 @@ +import { tweakType } from "../../components"; + +export type TweaksStoreType = { + tweak: tweakType; + setTweak: (tweak: tweakType) => void; + tweaksList: string[]; + setTweaksList: (tweaksList: string[]) => void; +}; diff --git a/src/frontend/src/utils/reactflowUtils.ts b/src/frontend/src/utils/reactflowUtils.ts index deb470f80..83772ee0d 100644 --- a/src/frontend/src/utils/reactflowUtils.ts +++ b/src/frontend/src/utils/reactflowUtils.ts @@ -102,18 +102,18 @@ export function unselectAllNodes({ updateNodes, data }: unselectAllNodesType) { export function isValidConnection( { source, target, sourceHandle, targetHandle }: Connection, nodes: Node[], - edges: Edge[] + edges: Edge[], ) { const targetHandleObject: targetHandleType = scapeJSONParse(targetHandle!); const sourceHandleObject: sourceHandleType = scapeJSONParse(sourceHandle!); if ( targetHandleObject.inputTypes?.some( - (n) => n === sourceHandleObject.dataType + (n) => n === sourceHandleObject.dataType, ) || sourceHandleObject.baseClasses.some( (t) => targetHandleObject.inputTypes?.some((n) => n === t) || - t === targetHandleObject.type + t === targetHandleObject.type, ) ) { let targetNode = nodes.find((node) => node.id === target!)?.data?.node; @@ -146,7 +146,7 @@ export function removeApiKeys(flow: FlowType): FlowType { export function updateTemplate( reference: APITemplateType, - objectToUpdate: APITemplateType + objectToUpdate: APITemplateType, ): APITemplateType { let clonedObject: APITemplateType = cloneDeep(reference); @@ -206,7 +206,7 @@ export const processDataFromFlow = (flow: FlowType, refreshIds = true) => { export function updateIds( { edges, nodes }: { edges: Edge[]; nodes: Node[] }, - selection?: { edges: Edge[]; nodes: Node[] } + selection?: { edges: Edge[]; nodes: Node[] }, ) { let idsMap = {}; const selectionIds = selection?.nodes.map((n) => n.id); @@ -234,7 +234,7 @@ export function updateIds( edge.source = idsMap[edge.source]; edge.target = idsMap[edge.target]; const sourceHandleObject: sourceHandleType = scapeJSONParse( - edge.sourceHandle! + edge.sourceHandle!, ); edge.sourceHandle = scapedJSONStringfy({ ...sourceHandleObject, @@ -244,7 +244,7 @@ export function updateIds( edge.data.sourceHandle.id = edge.source; } const targetHandleObject: targetHandleType = scapeJSONParse( - edge.targetHandle! + edge.targetHandle!, ); edge.targetHandle = scapedJSONStringfy({ ...targetHandleObject, @@ -264,13 +264,6 @@ export function updateIds( return idsMap; } -export function buildTweaks(flow: FlowType) { - return flow.data!.nodes.reduce((acc, node) => { - acc[node.data.id] = {}; - return acc; - }, {}); -} - export function validateNode(node: NodeType, edges: Edge[]): Array { if (!node.data?.node?.template || !Object.keys(node.data.node.template)) { return [ @@ -297,11 +290,11 @@ export function validateNode(node: NodeType, edges: Edge[]): Array { (scapeJSONParse(edge.targetHandle!) as targetHandleType).fieldName === t && (scapeJSONParse(edge.targetHandle!) as targetHandleType).id === - node.id + node.id, ) ) { errors.push( - `${displayName || type} is missing ${getFieldTitle(template, t)}.` + `${displayName || type} is missing ${getFieldTitle(template, t)}.`, ); } else if ( template[t].type === "dict" && @@ -315,15 +308,15 @@ export function validateNode(node: NodeType, edges: Edge[]): Array { errors.push( `${displayName || type} (${getFieldTitle( template, - t - )}) contains duplicate keys with the same values.` + t, + )}) contains duplicate keys with the same values.`, ); if (hasEmptyKey(template[t].value)) errors.push( `${displayName || type} (${getFieldTitle( template, - t - )}) field must not be empty.` + t, + )}) field must not be empty.`, ); } return errors; @@ -332,7 +325,7 @@ export function validateNode(node: NodeType, edges: Edge[]): Array { export function validateNodes( nodes: Node[], - edges: Edge[] + edges: Edge[], ): // this returns an array of tuples with the node id and the errors Array<{ id: string; errors: Array }> { if (nodes.length === 0) { @@ -353,7 +346,7 @@ export function updateEdges(edges: Edge[]) { if (edges) edges.forEach((edge) => { const targetHandleObject: targetHandleType = scapeJSONParse( - edge.targetHandle! + edge.targetHandle!, ); edge.className = "stroke-gray-900 stroke-connection"; }); @@ -420,7 +413,7 @@ export function handleKeyDown( | React.KeyboardEvent | React.KeyboardEvent, inputValue: string | string[] | null, - block: string + block: string, ) { //condition to fix bug control+backspace on Windows/Linux if ( @@ -445,7 +438,7 @@ export function handleKeyDown( } export function handleOnlyIntegerInput( - event: React.KeyboardEvent + event: React.KeyboardEvent, ) { if ( event.key === "." || @@ -461,7 +454,7 @@ export function handleOnlyIntegerInput( export function getConnectedNodes( edge: Edge, - nodes: Array + nodes: Array, ): Array { const sourceId = edge.source; const targetId = edge.target; @@ -561,7 +554,7 @@ export function checkOldEdgesHandles(edges: Edge[]): boolean { !edge.sourceHandle || !edge.targetHandle || !edge.sourceHandle.includes("{") || - !edge.targetHandle.includes("{") + !edge.targetHandle.includes("{"), ); } @@ -584,7 +577,7 @@ export function customStringify(obj: any): string { const keys = Object.keys(obj).sort(); const keyValuePairs = keys.map( - (key) => `"${key}":${customStringify(obj[key])}` + (key) => `"${key}":${customStringify(obj[key])}`, ); return `{${keyValuePairs.join(",")}}`; } @@ -613,7 +606,7 @@ export function getHandleId( source: string, sourceHandle: string, target: string, - targetHandle: string + targetHandle: string, ) { return ( "reactflow__edge-" + source + sourceHandle + "-" + target + targetHandle @@ -624,7 +617,7 @@ export function generateFlow( selection: OnSelectionChangeParams, nodes: Node[], edges: Edge[], - name: string + name: string, ): generateFlowType { const newFlowData = { nodes, edges, viewport: { zoom: 1, x: 0, y: 0 } }; const uid = new ShortUniqueId({ length: 5 }); @@ -633,7 +626,7 @@ export function generateFlow( newFlowData.edges = selection.edges.filter( (edge) => selection.nodes.some((node) => node.id === edge.target) && - selection.nodes.some((node) => node.id === edge.source) + selection.nodes.some((node) => node.id === edge.source), ); newFlowData.nodes = selection.nodes; @@ -654,7 +647,7 @@ export function generateFlow( (edge) => (selection.nodes.some((node) => node.id === edge.target) || selection.nodes.some((node) => node.id === edge.source)) && - newFlowData.edges.every((e) => e.id !== edge.id) + newFlowData.edges.every((e) => e.id !== edge.id), ), }; } @@ -665,13 +658,13 @@ export function reconnectEdges(groupNode: NodeType, excludedEdges: Edge[]) { const { nodes, edges } = groupNode.data.node!.flow!.data!; const lastNode = findLastNode(groupNode.data.node!.flow!.data!); newEdges = newEdges.filter( - (e) => !(nodes.some((n) => n.id === e.source) && e.source !== lastNode?.id) + (e) => !(nodes.some((n) => n.id === e.source) && e.source !== lastNode?.id), ); newEdges.forEach((edge) => { if (lastNode && edge.source === lastNode.id) { edge.source = groupNode.id; let newSourceHandle: sourceHandleType = scapeJSONParse( - edge.sourceHandle! + edge.sourceHandle!, ); newSourceHandle.id = groupNode.id; edge.sourceHandle = scapedJSONStringfy(newSourceHandle); @@ -698,7 +691,7 @@ export function reconnectEdges(groupNode: NodeType, excludedEdges: Edge[]) { export function filterFlow( selection: OnSelectionChangeParams, setNodes: (update: Node[] | ((oldState: Node[]) => Node[])) => void, - setEdges: (update: Edge[] | ((oldState: Edge[]) => Edge[])) => void + setEdges: (update: Edge[] | ((oldState: Edge[]) => Edge[])) => void, ) { setNodes((nodes) => nodes.filter((node) => !selection.nodes.includes(node))); setEdges((edges) => edges.filter((edge) => !selection.edges.includes(edge))); @@ -736,7 +729,7 @@ export function updateFlowPosition(NewPosition: XYPosition, flow: FlowType) { export function concatFlows( flow: FlowType, setNodes: (update: Node[] | ((oldState: Node[]) => Node[])) => void, - setEdges: (update: Edge[] | ((oldState: Edge[]) => Edge[])) => void + setEdges: (update: Edge[] | ((oldState: Edge[]) => Edge[])) => void, ) { const { nodes, edges } = flow.data!; setNodes((old) => [...old, ...nodes]); @@ -745,7 +738,7 @@ export function concatFlows( export function validateSelection( selection: OnSelectionChangeParams, - edges: Edge[] + edges: Edge[], ): Array { //add edges to selection if selection mode selected only nodes if (selection.edges.length === 0) { @@ -757,7 +750,7 @@ export function validateSelection( let nodesSet = new Set(selection.nodes.map((n) => n.id)); // then filter the edges that are connected to the nodes in the set let connectedEdges = selection.edges.filter( - (e) => nodesSet.has(e.source) && nodesSet.has(e.target) + (e) => nodesSet.has(e.source) && nodesSet.has(e.target), ); // add the edges to the selection selection.edges = connectedEdges; @@ -771,17 +764,17 @@ export function validateSelection( selection.nodes.some( (node) => isInputNode(node.data as NodeDataType) || - isOutputNode(node.data as NodeDataType) + isOutputNode(node.data as NodeDataType), ) ) { errorsArray.push( - "Please select only nodes that are not input or output nodes" + "Please select only nodes that are not input or output nodes", ); } //check if there are two or more nodes with free outputs if ( selection.nodes.filter( - (n) => !selection.edges.some((e) => e.source === n.id) + (n) => !selection.edges.some((e) => e.source === n.id), ).length > 1 ) { errorsArray.push("Please select only one node with free outputs"); @@ -792,7 +785,7 @@ export function validateSelection( selection.nodes.some( (node) => !selection.edges.some((edge) => edge.target === node.id) && - !selection.edges.some((edge) => edge.source === node.id) + !selection.edges.some((edge) => edge.source === node.id), ) ) { errorsArray.push("Please select only nodes that are connected"); @@ -849,8 +842,8 @@ export function mergeNodeTemplates({ nodeTemplate[key].display_name ? nodeTemplate[key].display_name : nodeTemplate[key].name - ? toTitleCase(nodeTemplate[key].name) - : toTitleCase(key); + ? toTitleCase(nodeTemplate[key].name) + : toTitleCase(key); } } }); @@ -861,7 +854,7 @@ function isHandleConnected( edges: Edge[], key: string, field: TemplateVariableType, - nodeId: string + nodeId: string, ) { /* this function receives a flow and a handleId and check if there is a connection with this handle @@ -877,7 +870,7 @@ function isHandleConnected( id: nodeId, proxy: { id: field.proxy!.id, field: field.proxy!.field }, inputTypes: field.input_types, - } as targetHandleType) + } as targetHandleType), ) ) { return true; @@ -892,7 +885,7 @@ function isHandleConnected( fieldName: key, id: nodeId, inputTypes: field.input_types, - } as targetHandleType) + } as targetHandleType), ) ) { return true; @@ -915,7 +908,7 @@ export function generateNodeTemplate(Flow: FlowType) { export function generateNodeFromFlow( flow: FlowType, - getNodeId: (type: string) => string + getNodeId: (type: string) => string, ): NodeType { const { nodes } = flow.data!; const outputNode = cloneDeep(findLastNode(flow.data!)); @@ -946,7 +939,7 @@ export function generateNodeFromFlow( export function connectedInputNodesOnHandle( nodeId: string, handleId: string, - { nodes, edges }: { nodes: NodeType[]; edges: Edge[] } + { nodes, edges }: { nodes: NodeType[]; edges: Edge[] }, ) { const connectedNodes: Array<{ name: string; id: string; isGroup: boolean }> = []; @@ -983,7 +976,7 @@ export function connectedInputNodesOnHandle( export function updateProxyIdsOnTemplate( template: APITemplateType, - idsMap: { [key: string]: string } + idsMap: { [key: string]: string }, ) { Object.keys(template).forEach((key) => { if (template[key].proxy && idsMap[template[key].proxy!.id]) { @@ -994,7 +987,7 @@ export function updateProxyIdsOnTemplate( export function updateEdgesIds( edges: Edge[], - idsMap: { [key: string]: string } + idsMap: { [key: string]: string }, ) { edges.forEach((edge) => { let targetHandle: targetHandleType = edge.data.targetHandle; @@ -1027,7 +1020,7 @@ export function expandGroupNode( nodes: Node[], edges: Edge[], setNodes: (update: Node[] | ((oldState: Node[]) => Node[])) => void, - setEdges: (update: Edge[] | ((oldState: Edge[]) => Edge[])) => void + setEdges: (update: Edge[] | ((oldState: Edge[]) => Edge[])) => void, ) { const idsMap = updateIds(flow!.data!); updateProxyIdsOnTemplate(template, idsMap); @@ -1070,7 +1063,7 @@ export function expandGroupNode( const lastNode = cloneDeep(findLastNode(flow!.data!)); newEdge.source = lastNode!.id; let newSourceHandle: sourceHandleType = scapeJSONParse( - newEdge.sourceHandle! + newEdge.sourceHandle!, ); newSourceHandle.id = lastNode!.id; newEdge.data.sourceHandle = newSourceHandle; @@ -1124,7 +1117,7 @@ export function expandGroupNode( export function getGroupStatus( flow: FlowType, - ssData: { [key: string]: { valid: boolean; params: string } } + ssData: { [key: string]: { valid: boolean; params: string } }, ) { let status = { valid: true, params: SUCCESS_BUILD }; const { nodes } = flow.data!; @@ -1143,7 +1136,7 @@ export function getGroupStatus( export function createFlowComponent( nodeData: NodeDataType, - version: string + version: string, ): FlowType { const flowNode: FlowType = { data: { @@ -1179,7 +1172,7 @@ export function downloadNode(NodeFLow: FlowType) { export function updateComponentNameAndType( data: any, - component: NodeDataType + component: NodeDataType, ) {} export function removeFileNameFromComponents(flow: FlowType) { @@ -1253,7 +1246,7 @@ export function extractFieldsFromComponenents(data: APIObjectType) { export function downloadFlow( flow: FlowType, flowName: string, - flowDescription?: string + flowDescription?: string, ) { let clonedFlow = cloneDeep(flow); removeFileNameFromComponents(clonedFlow); @@ -1263,7 +1256,7 @@ export function downloadFlow( ...clonedFlow, name: flowName, description: flowDescription, - }) + }), )}`; // create a link element and set its properties @@ -1278,7 +1271,7 @@ export function downloadFlow( export function downloadFlows() { downloadFlowsFromDatabase().then((flows) => { const jsonString = `data:text/json;chatset=utf-8,${encodeURIComponent( - JSON.stringify(flows) + JSON.stringify(flows), )}`; // create a link element and set its properties @@ -1293,7 +1286,7 @@ export function downloadFlows() { export const createNewFlow = ( flowData: ReactFlowJsonObject, - flow: FlowType + flow: FlowType, ) => { return { description: flow?.description ?? getRandomDescription(), diff --git a/src/frontend/src/utils/utils.ts b/src/frontend/src/utils/utils.ts index 7c269d8e4..5e1786404 100644 --- a/src/frontend/src/utils/utils.ts +++ b/src/frontend/src/utils/utils.ts @@ -13,9 +13,8 @@ import { nodeGroupedObjType, tweakType, } from "../types/components"; -import { FlowType, NodeType } from "../types/flow"; +import { NodeType } from "../types/flow"; import { FlowState } from "../types/tabs"; -import { buildTweaks } from "./reactflowUtils"; export function classNames(...classes: Array): string { return classes.filter(Boolean).join(" "); @@ -323,17 +322,10 @@ export function getChatInputField(flowState?: FlowState) { * @returns {string} - The python code */ export function getPythonApiCode( - flow: FlowType, + flowId: string, isAuth: boolean, - tweak?: any[], + tweaksBuildedObject, ): string { - const flowId = flow.id; - - // create a dictionary of node ids and the values is an empty dictionary - // flow.data.nodes.forEach((node) => { - // node.data.id - // } - const tweaks = buildTweaks(flow); return `import requests from typing import Optional @@ -341,11 +333,7 @@ BASE_API_URL = "${window.location.protocol}//${window.location.host}/api/v1/run" FLOW_ID = "${flowId}" # You can tweak the flow by adding a tweaks dictionary # e.g {"OpenAI-XXXXX": {"model_name": "gpt-4"}} -TWEAKS = ${ - tweak && tweak.length > 0 - ? buildTweakObject(tweak) - : JSON.stringify(tweaks, null, 2) - } +TWEAKS = ${JSON.stringify(tweaksBuildedObject, null, 2)} def run_flow(message: str, flow_id: str, @@ -391,13 +379,10 @@ print(run_flow(message=message, flow_id=FLOW_ID, tweaks=TWEAKS${ * @returns {string} - The curl code */ export function getCurlCode( - flow: FlowType, + flowId: string, isAuth: boolean, - tweak?: any[], + tweaksBuildedObject, ): string { - const flowId = flow.id; - const tweaks = buildTweaks(flow); - return `curl -X POST \\ ${window.location.protocol}//${ window.location.host @@ -408,11 +393,7 @@ export function getCurlCode( -d '{"input_value": "message", "output_type": "chat", "input_type": "chat", - "tweaks": ${ - tweak && tweak.length > 0 - ? buildTweakObject(tweak) - : JSON.stringify(tweaks, null, 2) - }}' + "tweaks": ${JSON.stringify(tweaksBuildedObject, null, 2)}' `; } @@ -439,16 +420,9 @@ export function getOutputIds(flow) { * @param {any[]} tweak - The tweaks * @returns {string} - The python code */ -export function getPythonCode(flow: FlowType, tweak?: any[]): string { - const flowName = flow.name; - const tweaks = buildTweaks(flow); - +export function getPythonCode(flowName: string, tweaksBuildedObject): string { return `from langflow.load import run_flow_from_json -TWEAKS = ${ - tweak && tweak.length > 0 - ? buildTweakObject(tweak) - : JSON.stringify(tweaks, null, 2) - } +TWEAKS = ${JSON.stringify(tweaksBuildedObject, null, 2)} result = run_flow_from_json(flow="${flowName}.json", input_value="message", @@ -461,15 +435,10 @@ result = run_flow_from_json(flow="${flowName}.json", * @returns {string} - The widget code */ export function getWidgetCode( - flow: FlowType, + flowId: string, + flowName: string, isAuth: boolean, - flowState?: FlowState, ): string { - const flowId = flow.id; - const flowName = flow.name; - const inputs = buildInputs(); - let chat_input_field = getChatInputField(flowState); - return ` { await page.getByRole("tab", { name: "cURL" }).click(); await page.getByRole("button", { name: "Copy Code" }).click(); const handle = await page.evaluateHandle(() => - navigator.clipboard.readText() + navigator.clipboard.readText(), ); const clipboardContent = await handle.jsonValue(); const oldValue = clipboardContent; @@ -50,10 +50,78 @@ test("curl_api_generation", async ({ page, context }) => { await page.getByRole("tab", { name: "cURL" }).click(); await page.getByRole("button", { name: "Copy Code" }).click(); const handle2 = await page.evaluateHandle(() => - navigator.clipboard.readText() + navigator.clipboard.readText(), ); const clipboardContent2 = await handle2.jsonValue(); const newValue = clipboardContent2; expect(oldValue).not.toBe(newValue); expect(clipboardContent2.length).toBeGreaterThan(clipboardContent.length); }); + +test("check if tweaks are updating when someothing on the flow changes", async ({ + page, +}) => { + await page.goto("/"); + await page.waitForTimeout(2000); + + let modalCount = 0; + try { + const modalTitleElement = await page?.getByTestId("modal-title"); + if (modalTitleElement) { + modalCount = await modalTitleElement.count(); + } + } catch (error) { + modalCount = 0; + } + + while (modalCount === 0) { + await page.locator('//*[@id="new-project-btn"]').click(); + await page.waitForTimeout(5000); + modalCount = await page.getByTestId("modal-title")?.count(); + } + await page.waitForTimeout(1000); + + await page.getByTestId("blank-flow").click(); + await page.waitForTimeout(1000); + await page.getByTestId("extended-disclosure").click(); + await page.getByPlaceholder("Search").click(); + await page.getByPlaceholder("Search").fill("Chroma"); + + await page.waitForTimeout(1000); + + await page + .getByTestId("vectorstoresChroma") + .dragTo(page.locator('//*[@id="react-flow-id"]')); + await page.mouse.up(); + await page.mouse.down(); + await page.getByTitle("fit view").click(); + await page.getByTitle("zoom out").click(); + await page.getByTitle("zoom out").click(); + await page.getByTitle("zoom out").click(); + await page.getByTestId("input-collection_name").click(); + await page + .getByTestId("input-collection_name") + .fill("collection_name_test_123123123!@#$&*(&%$@"); + + await page.getByTestId("input-index_directory").click(); + await page + .getByTestId("input-index_directory") + .fill("index_directory_123123123!@#$&*(&%$@"); + + await page.getByText("API", { exact: true }).first().click(); + + await page.getByText("Tweaks").nth(1).click(); + + await page.getByText("collection_name_test_123123123!@#$&*(&%$@").isVisible(); + await page.getByText("index_directory_123123123!@#$&*(&%$@").isVisible(); + + await page.getByText("Python API", { exact: true }).click(); + + await page.getByText("collection_name_test_123123123!@#$&*(&%$@").isVisible(); + await page.getByText("index_directory_123123123!@#$&*(&%$@").isVisible(); + + await page.getByText("Python Code", { exact: true }).click(); + + await page.getByText("collection_name_test_123123123!@#$&*(&%$@").isVisible(); + await page.getByText("index_directory_123123123!@#$&*(&%$@").isVisible(); +}); From e36901bb343aaee6080c36c7171ae6bbcd1da371 Mon Sep 17 00:00:00 2001 From: Gabriel Luiz Freitas Almeida Date: Fri, 10 May 2024 12:33:05 -0300 Subject: [PATCH 17/55] =?UTF-8?q?=E2=9C=85=20(pyproject.toml):=20update=20?= =?UTF-8?q?package=20versions=20to=201.0.0a31=20and=200.0.42=20for=20'lang?= =?UTF-8?q?flow'=20and=20'langflow-base'=20respectively?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- poetry.lock | 14 +++++++------- pyproject.toml | 2 +- src/backend/base/pyproject.toml | 2 +- 3 files changed, 9 insertions(+), 9 deletions(-) diff --git a/poetry.lock b/poetry.lock index daae4b59c..1fefc4bc1 100644 --- a/poetry.lock +++ b/poetry.lock @@ -4234,7 +4234,7 @@ types-requests = ">=2.31.0.2,<3.0.0.0" [[package]] name = "langflow-base" -version = "0.0.41" +version = "0.0.42" description = "A Python package with a built-in web application" optional = false python-versions = ">=3.10,<3.13" @@ -4289,13 +4289,13 @@ url = "src/backend/base" [[package]] name = "langfuse" -version = "2.29.3" +version = "2.30.0" description = "A client library for accessing langfuse" optional = false python-versions = "<4.0,>=3.8.1" files = [ - {file = "langfuse-2.29.3-py3-none-any.whl", hash = "sha256:7471365dc19677eecbc82319c7785f6b8c41437eabe5716c9f262e2f0a2fc43c"}, - {file = "langfuse-2.29.3.tar.gz", hash = "sha256:408873adc3e77725b94e2105be8e1c395f7b8a604f43aa28a772df02e49be088"}, + {file = "langfuse-2.30.0-py3-none-any.whl", hash = "sha256:f5bb91f6fc8f16d99a0f685e57e2d2b2c00edc51c4238f499916a2e7f6810fb5"}, + {file = "langfuse-2.30.0.tar.gz", hash = "sha256:22b2612ba1a78f6bbf173a287e7d77ba9ad9a640d440949a3a7f9c249a777278"}, ] [package.dependencies] @@ -4372,12 +4372,12 @@ proxy = ["PyJWT (>=2.8.0,<3.0.0)", "apscheduler (>=3.10.4,<4.0.0)", "backoff", " [[package]] name = "llama-cpp-python" -version = "0.2.72" +version = "0.2.73" description = "Python bindings for the llama.cpp library" optional = true python-versions = ">=3.8" files = [ - {file = "llama_cpp_python-0.2.72.tar.gz", hash = "sha256:7da4957043927f73d4425c919c843581e5a3ceb5e65cafbc29bfb45703814a56"}, + {file = "llama_cpp_python-0.2.73.tar.gz", hash = "sha256:78ac8d5f7fa06090255f0b64bf6acf2bc864c32447a1e9fbdf553f7b199fea07"}, ] [package.dependencies] @@ -4804,7 +4804,6 @@ files = [ {file = "lxml-5.2.1-cp36-cp36m-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c38d7b9a690b090de999835f0443d8aa93ce5f2064035dfc48f27f02b4afc3d0"}, {file = "lxml-5.2.1-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5670fb70a828663cc37552a2a85bf2ac38475572b0e9b91283dc09efb52c41d1"}, {file = "lxml-5.2.1-cp36-cp36m-manylinux_2_28_x86_64.whl", hash = "sha256:958244ad566c3ffc385f47dddde4145088a0ab893504b54b52c041987a8c1863"}, - {file = "lxml-5.2.1-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:b6241d4eee5f89453307c2f2bfa03b50362052ca0af1efecf9fef9a41a22bb4f"}, {file = "lxml-5.2.1-cp36-cp36m-musllinux_1_1_aarch64.whl", hash = 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"sha256:804f74efe22b6a227306dd890eecc4f8c59ff25ca35f1f14e7482bbce96ef10b"}, {file = "lxml-5.2.1-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:08802f0c56ed150cc6885ae0788a321b73505d2263ee56dad84d200cab11c07a"}, {file = "lxml-5.2.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0f8c09ed18ecb4ebf23e02b8e7a22a05d6411911e6fabef3a36e4f371f4f2585"}, diff --git a/pyproject.toml b/pyproject.toml index 282980cbc..e73ca8ec6 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "langflow" -version = "1.0.0a30" +version = "1.0.0a31" description = "A Python package with a built-in web application" authors = ["Langflow "] maintainers = [ diff --git a/src/backend/base/pyproject.toml b/src/backend/base/pyproject.toml index 44f32601c..8be699508 100644 --- a/src/backend/base/pyproject.toml +++ b/src/backend/base/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "langflow-base" -version = "0.0.41" +version = "0.0.42" description = "A Python package with a built-in web application" authors = ["Langflow "] maintainers = [ From da256785d0c49bf95dfb98cd09ee7b0b7be933f9 Mon Sep 17 00:00:00 2001 From: Gabriel Luiz Freitas Almeida Date: Fri, 10 May 2024 12:34:24 -0300 Subject: [PATCH 18/55] refactor: Improve variable creation logic in VariableService (#1875) * refactor: Improve variable creation logic in VariableService --- .../langflow/services/variable/service.py | 25 +++++++++++-------- 1 file changed, 14 insertions(+), 11 deletions(-) diff --git a/src/backend/base/langflow/services/variable/service.py b/src/backend/base/langflow/services/variable/service.py index ea5126d79..0c9208121 100644 --- a/src/backend/base/langflow/services/variable/service.py +++ b/src/backend/base/langflow/services/variable/service.py @@ -29,17 +29,20 @@ class VariableService(Service): for var in self.settings_service.settings.variables_to_get_from_environment: if var in os.environ: logger.debug(f"Creating {var} variable from environment.") - try: - self.create_variable( - user_id=user_id, - name=var, - value=os.environ[var], - default_fields=[], - _type="Credential", - session=session, - ) - except Exception as e: - logger.error(f"Error creating {var} variable: {e}") + if not session.exec( + select(Variable).where(Variable.user_id == user_id, Variable.name == var) + ).first(): + try: + self.create_variable( + user_id=user_id, + name=var, + value=os.environ[var], + default_fields=[], + _type="Credential", + session=session, + ) + except Exception as e: + logger.error(f"Error creating {var} variable: {e}") else: logger.info("Skipping environment variable storage.") From 8b873b78c953c2e3b3d9db7ae002b46bdbe8aae7 Mon Sep 17 00:00:00 2001 From: Gabriel Luiz Freitas Almeida Date: Mon, 13 May 2024 11:07:28 -0700 Subject: [PATCH 19/55] Add gpt-4o model --- .../base/langflow/base/models/openai_constants.py | 2 +- .../langflow/components/model_specs/ChatOpenAISpecs.py | 2 +- .../base/langflow/components/models/OpenAIModel.py | 3 +-- .../Basic Prompting (Hello, world!).json | 5 +++-- .../starter_projects/Langflow Blog Writter.json | 5 +++-- .../starter_projects/Langflow Document QA.json | 5 +++-- .../starter_projects/Langflow Memory Conversation.json | 5 +++-- .../starter_projects/Langflow Prompt Chaining.json | 10 ++++++---- .../starter_projects/VectorStore-RAG-Flows.json | 5 +++-- src/backend/base/langflow/utils/constants.py | 1 + 10 files changed, 25 insertions(+), 18 deletions(-) diff --git a/src/backend/base/langflow/base/models/openai_constants.py b/src/backend/base/langflow/base/models/openai_constants.py index 89ad8425e..e846229cc 100644 --- a/src/backend/base/langflow/base/models/openai_constants.py +++ b/src/backend/base/langflow/base/models/openai_constants.py @@ -1 +1 @@ -MODEL_NAMES = ["gpt-4-turbo", "gpt-4-turbo-preview", "gpt-3.5-turbo", "gpt-3.5-turbo-0125"] +MODEL_NAMES = ["gpt-4o", "gpt-4-turbo", "gpt-4-turbo-preview", "gpt-3.5-turbo", "gpt-3.5-turbo-0125"] diff --git a/src/backend/base/langflow/components/model_specs/ChatOpenAISpecs.py b/src/backend/base/langflow/components/model_specs/ChatOpenAISpecs.py index e37eacc77..5a7d47f04 100644 --- a/src/backend/base/langflow/components/model_specs/ChatOpenAISpecs.py +++ b/src/backend/base/langflow/components/model_specs/ChatOpenAISpecs.py @@ -52,7 +52,7 @@ class ChatOpenAIComponent(CustomComponent): self, max_tokens: Optional[int] = 256, model_kwargs: NestedDict = {}, - model_name: str = "gpt-4-1106-preview", + model_name: str = "gpt-4o", openai_api_base: Optional[str] = None, openai_api_key: Optional[str] = None, temperature: float = 0.7, diff --git a/src/backend/base/langflow/components/models/OpenAIModel.py b/src/backend/base/langflow/components/models/OpenAIModel.py index a37caefc3..149c93ad3 100644 --- a/src/backend/base/langflow/components/models/OpenAIModel.py +++ b/src/backend/base/langflow/components/models/OpenAIModel.py @@ -41,7 +41,6 @@ class OpenAIModelComponent(LCModelComponent): "display_name": "Model Name", "advanced": False, "options": MODEL_NAMES, - "value": "gpt-4-turbo-preview", }, "openai_api_base": { "display_name": "OpenAI API Base", @@ -79,7 +78,7 @@ class OpenAIModelComponent(LCModelComponent): input_value: Text, openai_api_key: str, temperature: float, - model_name: str, + model_name: str = "gpt-4o", max_tokens: Optional[int] = 256, model_kwargs: NestedDict = {}, openai_api_base: Optional[str] = None, diff --git a/src/backend/base/langflow/initial_setup/starter_projects/Basic Prompting (Hello, world!).json b/src/backend/base/langflow/initial_setup/starter_projects/Basic Prompting (Hello, world!).json index 445f38db9..b8693e13f 100644 --- a/src/backend/base/langflow/initial_setup/starter_projects/Basic Prompting (Hello, world!).json +++ b/src/backend/base/langflow/initial_setup/starter_projects/Basic Prompting (Hello, world!).json @@ -149,7 +149,7 @@ "list": false, "show": true, "multiline": true, - "value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\"},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": MODEL_NAMES,\n \"value\": \"gpt-4-turbo-preview\",\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float,\n model_name: str,\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n", + "value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\"},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": MODEL_NAMES,\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float,\n model_name: str = \"gpt-4o\",\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n", "fileTypes": [], "file_path": "", "password": false, @@ -200,7 +200,7 @@ }, "model_name": { "type": "str", - "required": true, + "required": false, "placeholder": "", "list": true, "show": true, @@ -210,6 +210,7 @@ "file_path": "", "password": false, "options": [ + "gpt-4o", "gpt-4-turbo", "gpt-4-turbo-preview", "gpt-3.5-turbo", diff --git a/src/backend/base/langflow/initial_setup/starter_projects/Langflow Blog Writter.json b/src/backend/base/langflow/initial_setup/starter_projects/Langflow Blog Writter.json index 3161b6937..d2e4986ab 100644 --- a/src/backend/base/langflow/initial_setup/starter_projects/Langflow Blog Writter.json +++ b/src/backend/base/langflow/initial_setup/starter_projects/Langflow Blog Writter.json @@ -453,7 +453,7 @@ "list": false, "show": true, "multiline": true, - "value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\"},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": MODEL_NAMES,\n \"value\": \"gpt-4-turbo-preview\",\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float,\n model_name: str,\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n", + "value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\"},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": MODEL_NAMES,\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float,\n model_name: str = \"gpt-4o\",\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n", "fileTypes": [], "file_path": "", "password": false, @@ -504,7 +504,7 @@ }, "model_name": { "type": "str", - "required": true, + "required": false, "placeholder": "", "list": true, "show": true, @@ -514,6 +514,7 @@ "file_path": "", "password": false, "options": [ + "gpt-4o", "gpt-4-turbo", "gpt-4-turbo-preview", "gpt-3.5-turbo", diff --git a/src/backend/base/langflow/initial_setup/starter_projects/Langflow Document QA.json b/src/backend/base/langflow/initial_setup/starter_projects/Langflow Document QA.json index 94156919a..cde05c847 100644 --- a/src/backend/base/langflow/initial_setup/starter_projects/Langflow Document QA.json +++ b/src/backend/base/langflow/initial_setup/starter_projects/Langflow Document QA.json @@ -598,7 +598,7 @@ "list": false, "show": true, "multiline": true, - "value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\"},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": MODEL_NAMES,\n \"value\": \"gpt-4-turbo-preview\",\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float,\n model_name: str,\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n", + "value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\"},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": MODEL_NAMES,\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float,\n model_name: str = \"gpt-4o\",\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n", "fileTypes": [], "file_path": "", "password": false, @@ -649,7 +649,7 @@ }, "model_name": { "type": "str", - "required": true, + "required": false, "placeholder": "", "list": true, "show": true, @@ -659,6 +659,7 @@ "file_path": "", "password": false, "options": [ + "gpt-4o", "gpt-4-turbo", "gpt-4-turbo-preview", "gpt-3.5-turbo", diff --git a/src/backend/base/langflow/initial_setup/starter_projects/Langflow Memory Conversation.json b/src/backend/base/langflow/initial_setup/starter_projects/Langflow Memory Conversation.json index c477eb0e8..a20f7bc19 100644 --- a/src/backend/base/langflow/initial_setup/starter_projects/Langflow Memory Conversation.json +++ b/src/backend/base/langflow/initial_setup/starter_projects/Langflow Memory Conversation.json @@ -679,7 +679,7 @@ "list": false, "show": true, "multiline": true, - "value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\"},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": MODEL_NAMES,\n \"value\": \"gpt-4-turbo-preview\",\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float,\n model_name: str,\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n", + "value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\"},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": MODEL_NAMES,\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float,\n model_name: str = \"gpt-4o\",\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n", "fileTypes": [], "file_path": "", "password": false, @@ -730,7 +730,7 @@ }, "model_name": { "type": "str", - "required": true, + "required": false, "placeholder": "", "list": true, "show": true, @@ -740,6 +740,7 @@ "file_path": "", "password": false, "options": [ + "gpt-4o", "gpt-4-turbo", "gpt-4-turbo-preview", "gpt-3.5-turbo", diff --git a/src/backend/base/langflow/initial_setup/starter_projects/Langflow Prompt Chaining.json b/src/backend/base/langflow/initial_setup/starter_projects/Langflow Prompt Chaining.json index 7f56faaf0..38dda79d5 100644 --- a/src/backend/base/langflow/initial_setup/starter_projects/Langflow Prompt Chaining.json +++ b/src/backend/base/langflow/initial_setup/starter_projects/Langflow Prompt Chaining.json @@ -798,7 +798,7 @@ "list": false, "show": true, "multiline": true, - "value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\"},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": MODEL_NAMES,\n \"value\": \"gpt-4-turbo-preview\",\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float,\n model_name: str,\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n", + "value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\"},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": MODEL_NAMES,\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float,\n model_name: str = \"gpt-4o\",\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n", "fileTypes": [], "file_path": "", "password": false, @@ -849,7 +849,7 @@ }, "model_name": { "type": "str", - "required": true, + "required": false, "placeholder": "", "list": true, "show": true, @@ -859,6 +859,7 @@ "file_path": "", "password": false, "options": [ + "gpt-4o", "gpt-4-turbo", "gpt-4-turbo-preview", "gpt-3.5-turbo", @@ -1154,7 +1155,7 @@ "list": false, "show": true, "multiline": true, - "value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\"},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": MODEL_NAMES,\n \"value\": \"gpt-4-turbo-preview\",\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float,\n model_name: str,\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n", + "value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\"},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": MODEL_NAMES,\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float,\n model_name: str = \"gpt-4o\",\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n", "fileTypes": [], "file_path": "", "password": false, @@ -1205,7 +1206,7 @@ }, "model_name": { "type": "str", - "required": true, + "required": false, "placeholder": "", "list": true, "show": true, @@ -1215,6 +1216,7 @@ "file_path": "", "password": false, "options": [ + "gpt-4o", "gpt-4-turbo", "gpt-4-turbo-preview", "gpt-3.5-turbo", diff --git a/src/backend/base/langflow/initial_setup/starter_projects/VectorStore-RAG-Flows.json b/src/backend/base/langflow/initial_setup/starter_projects/VectorStore-RAG-Flows.json index b0f1ad3b1..e13a206c9 100644 --- a/src/backend/base/langflow/initial_setup/starter_projects/VectorStore-RAG-Flows.json +++ b/src/backend/base/langflow/initial_setup/starter_projects/VectorStore-RAG-Flows.json @@ -793,7 +793,7 @@ "list": false, "show": true, "multiline": true, - "value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\"},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": MODEL_NAMES,\n \"value\": \"gpt-4-turbo-preview\",\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float,\n model_name: str,\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n", + "value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\"},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": MODEL_NAMES,\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float,\n model_name: str = \"gpt-4o\",\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n", "fileTypes": [], "file_path": "", "password": false, @@ -844,7 +844,7 @@ }, "model_name": { "type": "str", - "required": true, + "required": false, "placeholder": "", "list": true, "show": true, @@ -854,6 +854,7 @@ "file_path": "", "password": false, "options": [ + "gpt-4o", "gpt-4-turbo", "gpt-4-turbo-preview", "gpt-3.5-turbo", diff --git a/src/backend/base/langflow/utils/constants.py b/src/backend/base/langflow/utils/constants.py index ac0a03fdf..99ac950d3 100644 --- a/src/backend/base/langflow/utils/constants.py +++ b/src/backend/base/langflow/utils/constants.py @@ -8,6 +8,7 @@ OPENAI_MODELS = [ "text-ada-001", ] CHAT_OPENAI_MODELS = [ + "gpt-4o", "gpt-4-turbo-preview", "gpt-4-0125-preview", "gpt-4-1106-preview", From 1ea9fcde25e6e774eee2d59337acd019eb17a272 Mon Sep 17 00:00:00 2001 From: Gabriel Luiz Freitas Almeida Date: Mon, 13 May 2024 11:10:49 -0700 Subject: [PATCH 20/55] chore: Update package versions to 1.0.0a32 and 0.0.43 for 'langflow' and 'langflow-base' respectively --- poetry.lock | 454 +++++++++++++++----------------- pyproject.toml | 2 +- src/backend/base/poetry.lock | 306 ++++++++++----------- src/backend/base/pyproject.toml | 2 +- 4 files changed, 366 insertions(+), 398 deletions(-) diff --git a/poetry.lock b/poetry.lock index 1fefc4bc1..909af7a6e 100644 --- a/poetry.lock +++ b/poetry.lock @@ -365,13 +365,13 @@ files = [ [[package]] name = "bce-python-sdk" -version = "0.9.7" +version = "0.9.9" description = "BCE SDK for python" optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,<4,>=2.7" files = [ - {file = "bce_python_sdk-0.9.7-py3-none-any.whl", hash = "sha256:6c8d07118de9491803c0cef6f5486ebe2f562f850c14552442d7c448b6a5d35a"}, - {file = "bce_python_sdk-0.9.7.tar.gz", hash = "sha256:4a27f6723af9fc39f58b48d2d6dce82f88cf19ab9507e20bd2f0b7bca64bd17d"}, + {file = "bce_python_sdk-0.9.9-py3-none-any.whl", hash = "sha256:cf8886667fdb7c2bc9b40f30fc99a6fbc201f336025cc7cefa294a232973419b"}, + {file = "bce_python_sdk-0.9.9.tar.gz", hash = "sha256:574baf5a6907892ad030f32b018a2455de16cc268eccf05984026a0d8eb2c7be"}, ] [package.dependencies] @@ -469,17 +469,17 @@ files = [ [[package]] name = "boto3" -version = "1.34.102" +version = "1.34.103" description = "The AWS SDK for Python" optional = false python-versions = ">=3.8" files = [ - {file = "boto3-1.34.102-py3-none-any.whl", hash = "sha256:1c1fb2884f85c0ec6b62e6e7ed5a2a6635e1188f3ab5d2b700f7db1cf8464484"}, - {file = "boto3-1.34.102.tar.gz", hash = "sha256:65e4b9fb9ceefe19976e8822ac0cd68d28946d4697e538741d2bbdb5b45ae42f"}, + {file = "boto3-1.34.103-py3-none-any.whl", hash = "sha256:59b6499f1bb423dd99de6566a20d0a7cf1a5476824be3a792290fd86600e8365"}, + {file = "boto3-1.34.103.tar.gz", hash = "sha256:58d097241f3895c4a4c80c9e606689c6e06d77f55f9f53a4cc02dee7e03938b9"}, ] [package.dependencies] -botocore = ">=1.34.102,<1.35.0" +botocore = ">=1.34.103,<1.35.0" jmespath = ">=0.7.1,<2.0.0" s3transfer = ">=0.10.0,<0.11.0" @@ -488,13 +488,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"] [[package]] name = "botocore" -version = "1.34.102" +version = "1.34.103" description = "Low-level, data-driven core of boto 3." optional = false python-versions = ">=3.8" files = [ - {file = "botocore-1.34.102-py3-none-any.whl", hash = "sha256:79ac7fc2729294395c70eff9c23510f00785ad2acd78d6130cb4379e9f27da86"}, - {file = "botocore-1.34.102.tar.gz", hash = "sha256:e2f8a9f4bac6f7b568e6e981ac2a2500bc992329c85dde8546f0cae8605dd009"}, + {file = "botocore-1.34.103-py3-none-any.whl", hash = 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8be699508..b71200be7 100644 --- a/src/backend/base/pyproject.toml +++ b/src/backend/base/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "langflow-base" -version = "0.0.42" +version = "0.0.43" description = "A Python package with a built-in web application" authors = ["Langflow "] maintainers = [ From d8c8f4db7a6cba4e3201e1cc401ee6fd02725ddd Mon Sep 17 00:00:00 2001 From: Mendon Kissling <59585235+mendonk@users.noreply.github.com> Date: Mon, 13 May 2024 15:06:26 -0400 Subject: [PATCH 21/55] initial-content --- docs/docs/administration/global-env.mdx | 43 ++++++++++++++++++++++++ docs/sidebars.js | 1 + docs/static/img/global-env.png | Bin 0 -> 87279 bytes 3 files changed, 44 insertions(+) create mode 100644 docs/docs/administration/global-env.mdx create mode 100644 docs/static/img/global-env.png diff --git a/docs/docs/administration/global-env.mdx b/docs/docs/administration/global-env.mdx new file mode 100644 index 000000000..4525707ae --- /dev/null +++ b/docs/docs/administration/global-env.mdx @@ -0,0 +1,43 @@ +import ZoomableImage from "/src/theme/ZoomableImage.js"; +import Admonition from "@theme/Admonition"; + +# Global environment variables + +Langflow 1.0 alpha includes the option to add **Global Environment Variables** for your application. + +## Example + +In this example, you'll add the `openai_api_key` credential as a global environment variable to the **Basic Prompting** starter project. + +For more information on the starter flow, see [Basic prompting ](../starter-projects/basic-prompting.mdx). + +1. From the Langflow dashboard, click **New Project**. +2. Select **Basic Prompting**. +3. The **Basic Prompting** flow is created. +4. To create an environment variable for the **OpenAI** component, in the **OpenAI API Key** field, click the **Globe** button, and then click **Add New Variable**. + + + You can also create global variables in **Settings** > **Variables and Secrets**. + + + 1. In the **Variable Name** field, enter `openai_api_key`. + 2. In the **Value** field, paste your OpenAI API Key (`sk-...`). + 3. For the variable **Type**, select **Credential**. + 4. In the **Apply to Fields** field, select **OpenAI API Key** to apply this variable to all fields named **OpenAI API Key**. + 5. Click **Save Variable**. + + + +You now have a `openai_api_key` global environment variable for your Langflow project. + +5. To view and manage your project's global environment variables, visit **Settings** > **Variables and Secrets**. + +For more on variables in HuggingFace Spaces, see [Managing Secrets](https://huggingface.co/docs/hub/spaces-overview#managing-secrets). + diff --git a/docs/sidebars.js b/docs/sidebars.js index 848400d18..cf66f270f 100644 --- a/docs/sidebars.js +++ b/docs/sidebars.js @@ -40,6 +40,7 @@ module.exports = { "administration/login", "administration/api", "administration/cli", + "administration/global-env", "administration/components", "administration/collection", "administration/prompt-customization", diff --git a/docs/static/img/global-env.png b/docs/static/img/global-env.png new file mode 100644 index 0000000000000000000000000000000000000000..763444dc4528fc68c817f9879162cb7b7407503b GIT binary patch literal 87279 zcmeFZg;yNivo4HlfCK^rhv06(o!}na3GVJ5LVzH_-62Tu;O+r}yE_96KKKB`z@7Kp zdw%D&_5A_gI;`&1Jw3ap_kMO&?Ru)JiBwaO#lj%QfP;g>l9!WGhl4|$g6$`0D6lJ4 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a/docs/docs/administration/global-env.mdx b/docs/docs/administration/global-env.mdx index 4525707ae..28dbff22f 100644 --- a/docs/docs/administration/global-env.mdx +++ b/docs/docs/administration/global-env.mdx @@ -5,7 +5,7 @@ import Admonition from "@theme/Admonition"; Langflow 1.0 alpha includes the option to add **Global Environment Variables** for your application. -## Example +## Add a global variable to a project In this example, you'll add the `openai_api_key` credential as a global environment variable to the **Basic Prompting** starter project. From f6a6241b66d69317ffa884ceb364a48db6773f43 Mon Sep 17 00:00:00 2001 From: Mendon Kissling <59585235+mendonk@users.noreply.github.com> Date: Mon, 13 May 2024 18:37:39 -0400 Subject: [PATCH 23/55] initial-content --- docs/docs/administration/playground.mdx | 28 ++++++++++++++++++++++++ docs/sidebars.js | 1 + docs/static/img/playground-chat.png | Bin 0 -> 134800 bytes 3 files changed, 29 insertions(+) create mode 100644 docs/docs/administration/playground.mdx create mode 100644 docs/static/img/playground-chat.png diff --git a/docs/docs/administration/playground.mdx b/docs/docs/administration/playground.mdx new file mode 100644 index 000000000..6fe14e73f --- /dev/null +++ b/docs/docs/administration/playground.mdx @@ -0,0 +1,28 @@ +import ThemedImage from "@theme/ThemedImage"; +import useBaseUrl from "@docusaurus/useBaseUrl"; +import ZoomableImage from "/src/theme/ZoomableImage.js"; +import ReactPlayer from "react-player"; +import Admonition from "@theme/Admonition"; + +# Playground + +In Langflow 1.0 alpha, the **Playground** replaces the **Integration Window**. + +The **Playground** offers an interface for interacting with chat flows. + +1. To use the **Playground**, from your **Collections** page, click **Playground** in one of your flows. +The **Playground** window opens. + + + +2. Chat with your bot as you normally would. + +The Playground allows you to run flows without opening them in the flow editor. +This applies to the Langflow store, too - as long as you have your global environment variables set, you can run flows by clicking the **Playground** button. diff --git a/docs/sidebars.js b/docs/sidebars.js index 848400d18..a0e2af3f1 100644 --- a/docs/sidebars.js +++ b/docs/sidebars.js @@ -40,6 +40,7 @@ module.exports = { "administration/login", "administration/api", "administration/cli", + "administration/playground", "administration/components", "administration/collection", "administration/prompt-customization", diff --git a/docs/static/img/playground-chat.png b/docs/static/img/playground-chat.png new file mode 100644 index 0000000000000000000000000000000000000000..d2625c28fe4e09afbae23ce7cfacb190cf2c30f2 GIT binary patch literal 134800 zcmeFZcT`i+wl7RaMFd4bK#C$DUFp4ug7jWP69@>QSE&I}5dlGZN2N(Gp+hJlH9(|> zKmthbJs>6Ii|5|^#v9|j_fF3D_hF1=hnAVdhOlM9=y6MXaX(aF2*ckx1>ClHqIOEi`5DZQxnQKKE6D zx3d~+(36s>j@h8yz~jU5(vBZ5=4&#LH2kh2+7Do8;>(_mjx3e2x62|3?A- zP$V6_#f8)&p*jyb8qK`EcftIQhF(&Ft<*> zw4E5jSo+X$*az9-RlKF8lZc{T*RKK*B3~tT zS|1YVT5R2(Eb2UEoFTr=zpYQHmPg^5pP}uqZma)N^%kig_x<}yc3#J+A7It{??$BQ zQ}YhV$PT8Sb`s0%IHSX|-+T+pLRmNtRraCjax0^P!ZIEdAi3(7SNiZo69)@agTL-#`CIewObR z`M^B2NO7>lK(V)#C9EwDJ#5{w5=KafKnb4tXOUtlJ=Ff^Jgh)tRquwPtu5w9g(*8c zRPFjF*j3wWY<+a!*7*T`CvS4?yC89WIm=XUjJw$hBlF*_)xMh4QenetsJSBHoi9ei zSh?eShsG0Wr;bwijD_QSv-Ok0RX;WdwA26>qrr*gxljSC6jpyL!imQ|Pxm4|JOrMS z7uRZ*0LqsPm%Zx79_O%Dt?xHx?#7kVD(e{j2HFCgYZgnm>|?2sa7`Eagrij?A|@l~ z?TbrzVXRDldXem-Sf<*P4K=ZB@>{n`rO^3re}u963v>qr9`6d>bF`e}bNsE7;Me<{ zY`@Xg=O&>OJStM0T)A`5(;}g+(i1#1kZ1NfSjhiQN_wwVcerdyRBy&eji&4w?^J`T zpC$_*Xtzb_npX{ad5vIs4^t!~2|C$H!i8Rd%xY{Cw)m#_PRW~w`P{*6OS?kxB*;qK zGtz)yr2hq0iptU1+uVQPG9-v&iXZZC%u%HndMSUp7JUvJnr_mb`t)vRN`Y#T=hq(= zsx_V)OP(V8OFPMOP8yupxb}x1xJ{E@5=MVKpT6CGbbY1Cq(;0vNp@%e(#{SKh@v=} z;(PM-5l7t2&`gWQD9(#v$m#jjVOxS_|1DjWL%sav0Wq@ZiL@J0+>Dkc?<3kE&ZSl9 zN-ZIr@^PU6RfAv;2LT4rw5h| z30xywB@MGXLK$(}iwT+SCI?hr*(TqB3p|hd60=2$2Jre_>NZoxNT6!qStA=x&77(} zy}>5>p-AyS>^-+9ct?JyCy_66He@6-ij`m<(|!*OXLGnzJvcmB=hL}W&QmVOm(qu~ zswJT?7vg_sL74Ptpxq=~y470bU}?GkI4U=QZe58`bteiZ<*s_wFUivfL&V6EpC-up zUWCsG1D+Cm0b(5+gwOE) z8oY|Wp5KM%aUs(WC!<-loiPdaxs6mKr4LUaf^`X6xr#?@N4=HEB+OM!~eqy!bIvn zTJawP_5Uz$AO2&Y2=XuguCHL14j12+QE9Ll(XYSwV5eg8iY0RF$Ha}I?3dOAO^Da- z8!=(z^D(l4F_3D1>ma4c3UkJh_W~bQ-|$uXr>I#c)9)YLblsv&Pmhs}>{UT4wgZQGU zH}d}v`TgJhMEDi*0p>wvS{-B+*+G))&wGRsgovczO46ObzvFq`rgoLbH*@ENdMujI z5K_^Qc0BA$oUq-#shAm!MyC2UT7D1TpQ6vigc!iAe@DJiSZJc$UJ=nHi zFNWY8gI$^!R&Pfv)A^1)$L4cF7k=-eFRv3EJ5yTV!zNPgVG6=9hVU*Ec8f9dzq_3h zRey~SZ+^@?CMR&8>?Gmy?5rSd*xVp}r)+^8*Tnbq1I2a7<2wXifGB*F{3-cQ?P*>Ou27pXmyIl^vb5fA+Q!`MnoS_a!XN3v=SB9^d-cJeUuo`V-+k z!2EO3c$9j@lQdj^#{ZECZG6kc?`h8XRS&tEEe4V&f>p0)?^T<4+^5p1y3+M8xuNKC z&Ghkbt=b}Ih>^LWl4SkG9NR@iVr=gjkNuL=qt%Z6qFe#j5T38XlNFyUFHdHbim908 zTFIOzOE^<4!5SUfT1+Pe7p?Ys9g-9TP@DGq_3&NpP=ntSv_B0rU#R5RM&Ak%FfURs za+51ap-{apweZOCtctTyUUlY zmI#($T1i9lTQn0Ndjp}M$ub@UZo}VeFsi60(5RS=#E6&Hl~yM|Sz31{s@7^S?qADr zm|_5VU!Q?h@wd~qv$>#}z~yW1#rgRUoknZZYhA{SDPr$(PLz-*Sow}^*97-J?Kg!E z0N%5bEvR)2{e--pbveZgH*W|c=xAL??(8U$HH1>q3``Ht7Zc2?G$i{E<|+24 zF3o9mjL4>@q=SyOg-%|v(-2}E!{S|Fnv>aDVGM9dx1fk6!>K~&t^oj$eCM# zcX*JHpau!SZ#i$toTkg()w&_9^k?c*&HMWk+MEl@v;p@wMMj_F!Q<*?aTaNHTiXN) zc?BVzQIn#8uHS)pk>UR~;|;6G%1)?z36)v%1r*jN`!&aM4FUQpvhF#eOHD5MgHEC)mWKNNIx3^y%<@GZ8M{uarLxKuyj(1-2{QSliQ54n z+kB(7u06sqi6*&0&(#;XhVu0mxoR|4(OGpP#X8dm1;mFGG@|3Dt^o~6z@)UKN3PTU zUXK3FX6elKh+&ta_Og%?gNB^zcg6KHO45N|1EwwJ!jol_*L4&kW#1Ds^D;eVkg4~R zUt06qPOErw0u53gVl`MSdGMhZt%Pe9P>usnWk(7U;`6En@lJx1?W-$59Ol2+o{%^! zJqPd}$`C6EC^a;L+BQj4$jV)fit?InV(2$xuoM&%d(CZ#Y;dpS&k#|a4cvD!%Wa#? 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To use the **Playground**, from your **Collections** page, click **Playground** in one of your flows. +It even works for flows hosted on the Langflow store! + +As long as you have a flow's environment variables set, you can run it by clicking the **Playground** button. + +1. From your **Collections** page, click **Playground** in one of your flows. The **Playground** window opens. -2. Chat with your bot as you normally would. - -The Playground allows you to run flows without opening them in the flow editor. -This applies to the Langflow store, too - as long as you have your global environment variables set, you can run flows by clicking the **Playground** button. +2. Chat with your bot as you normally would, all without having to open the editor. From 3abc7eedc3bf919dfa26f139a7965ea032e09b0b Mon Sep 17 00:00:00 2001 From: anovazzi1 Date: Tue, 14 May 2024 14:46:44 -0300 Subject: [PATCH 25/55] Fix duplicate group bug (#1859) * fix duplicate group bug * remove commented console.log --- .../components/PageComponent/index.tsx | 41 ++++++------- src/frontend/src/stores/flowStore.ts | 59 +++++++++---------- src/frontend/src/utils/reactflowUtils.ts | 1 - 3 files changed, 49 insertions(+), 52 deletions(-) diff --git a/src/frontend/src/pages/FlowPage/components/PageComponent/index.tsx b/src/frontend/src/pages/FlowPage/components/PageComponent/index.tsx index cb1a6e553..1c6951726 100644 --- a/src/frontend/src/pages/FlowPage/components/PageComponent/index.tsx +++ b/src/frontend/src/pages/FlowPage/components/PageComponent/index.tsx @@ -51,19 +51,19 @@ export default function Page({ }): JSX.Element { const uploadFlow = useFlowsManagerStore((state) => state.uploadFlow); const autoSaveCurrentFlow = useFlowsManagerStore( - (state) => state.autoSaveCurrentFlow + (state) => state.autoSaveCurrentFlow, ); const types = useTypesStore((state) => state.types); const templates = useTypesStore((state) => state.templates); const setFilterEdge = useFlowStore((state) => state.setFilterEdge); const reactFlowWrapper = useRef(null); const [showCanvas, setSHowCanvas] = useState( - Object.keys(templates).length > 0 && Object.keys(types).length > 0 + Object.keys(templates).length > 0 && Object.keys(types).length > 0, ); const reactFlowInstance = useFlowStore((state) => state.reactFlowInstance); const setReactFlowInstance = useFlowStore( - (state) => state.setReactFlowInstance + (state) => state.setReactFlowInstance, ); const nodes = useFlowStore((state) => state.nodes); const edges = useFlowStore((state) => state.edges); @@ -80,10 +80,10 @@ export default function Page({ const paste = useFlowStore((state) => state.paste); const resetFlow = useFlowStore((state) => state.resetFlow); const lastCopiedSelection = useFlowStore( - (state) => state.lastCopiedSelection + (state) => state.lastCopiedSelection, ); const setLastCopiedSelection = useFlowStore( - (state) => state.setLastCopiedSelection + (state) => state.setLastCopiedSelection, ); const onConnect = useFlowStore((state) => state.onConnect); const currentFlowId = useFlowsManagerStore((state) => state.currentFlowId); @@ -106,7 +106,7 @@ export default function Page({ clonedSelection!, clonedNodes, clonedEdges, - getRandomName() + getRandomName(), ); const newGroupNode = generateNodeFromFlow(newFlow, getNodeId); const newEdges = reconnectEdges(newGroupNode, removedEdges); @@ -114,8 +114,8 @@ export default function Page({ ...clonedNodes.filter( (oldNodes) => !clonedSelection?.nodes.some( - (selectionNode) => selectionNode.id === oldNodes.id - ) + (selectionNode) => selectionNode.id === oldNodes.id, + ), ), newGroupNode, ]); @@ -125,8 +125,8 @@ export default function Page({ !clonedSelection!.nodes.some( (selectionNode) => selectionNode.id === oldEdge.target || - selectionNode.id === oldEdge.source - ) + selectionNode.id === oldEdge.source, + ), ), ...newEdges, ]); @@ -141,7 +141,8 @@ export default function Page({ const setNode = useFlowStore((state) => state.setNode); useEffect(() => { const onKeyDown = (event: KeyboardEvent) => { - const selectedNode = nodes.filter((obj) => obj.selected); + const selectedNode = lastSelection?.nodes ?? []; + const selectedEdges = lastSelection?.edges ?? []; if ( selectionMenuVisible && (event.ctrlKey || event.metaKey) && @@ -174,11 +175,11 @@ export default function Page({ ) { event.preventDefault(); paste( - { nodes: selectedNode, edges: [] }, + { nodes: selectedNode, edges: selectedEdges }, { x: position.current.x, y: position.current.y, - } + }, ); } if (!isWrappedWithClass(event, "noundo")) { @@ -274,7 +275,7 @@ export default function Page({ useEffect(() => { setSHowCanvas( - Object.keys(templates).length > 0 && Object.keys(types).length > 0 + Object.keys(templates).length > 0 && Object.keys(types).length > 0, ); }, [templates, types]); @@ -283,7 +284,7 @@ export default function Page({ takeSnapshot(); onConnect(params); }, - [takeSnapshot, onConnect] + [takeSnapshot, onConnect], ); const onNodeDragStart: NodeDragHandler = useCallback(() => { @@ -324,7 +325,7 @@ export default function Page({ // Extract the data from the drag event and parse it as a JSON object const data: { type: string; node?: APIClassType } = JSON.parse( - event.dataTransfer.getData("nodedata") + event.dataTransfer.getData("nodedata"), ); const newId = getNodeId(data.type); @@ -340,7 +341,7 @@ export default function Page({ }; paste( { nodes: [newNode], edges: [] }, - { x: event.clientX, y: event.clientY } + { x: event.clientX, y: event.clientY }, ); } else if (event.dataTransfer.types.some((types) => types === "Files")) { takeSnapshot(); @@ -369,7 +370,7 @@ export default function Page({ } }, // Specify dependencies for useCallback - [getNodeId, setNodes, takeSnapshot, paste] + [getNodeId, setNodes, takeSnapshot, paste], ); const onEdgeUpdateStart = useCallback(() => { @@ -385,7 +386,7 @@ export default function Page({ setEdges((els) => updateEdge(oldEdge, newConnection, els)); } }, - [setEdges] + [setEdges], ); const onEdgeUpdateEnd = useCallback((_, edge: Edge): void => { @@ -418,7 +419,7 @@ export default function Page({ (flow: OnSelectionChangeParams): void => { setLastSelection(flow); }, - [] + [], ); const onPaneClick = useCallback((flow) => { diff --git a/src/frontend/src/stores/flowStore.ts b/src/frontend/src/stores/flowStore.ts index 0c3328add..44879aba8 100644 --- a/src/frontend/src/stores/flowStore.ts +++ b/src/frontend/src/stores/flowStore.ts @@ -49,7 +49,7 @@ import FlowPage from "../pages/FlowPage"; // this is our useStore hook that we can use in our components to get parts of the store and call actions const useFlowStore = create((set, get) => ({ onFlowPage: false, - setOnFlowPage:(FlowPage=>set({onFlowPage:FlowPage})), + setOnFlowPage: (FlowPage) => set({ onFlowPage: FlowPage }), flowState: undefined, flowBuildStatus: {}, nodes: [], @@ -80,7 +80,7 @@ const useFlowStore = create((set, get) => ({ updateFlowPool: ( nodeId: string, data: FlowPoolObjectType | ChatOutputType | chatInputType, - buildId?: string + buildId?: string, ) => { let newFlowPool = cloneDeep({ ...get().flowPool }); if (!newFlowPool[nodeId]) { @@ -152,7 +152,7 @@ const useFlowStore = create((set, get) => ({ edges: applyEdgeChanges(changes, get().edges), }); }, - setNodes: (change,skipSave=false) => { + setNodes: (change, skipSave = false) => { let newChange = typeof change === "function" ? change(get().nodes) : change; let newEdges = cleanEdges(newChange, get().edges); const { inputs, outputs } = getInputsAndOutputs(newChange); @@ -171,11 +171,11 @@ const useFlowStore = create((set, get) => ({ flowsManager.autoSaveCurrentFlow( newChange, newEdges, - get().reactFlowInstance?.getViewport() ?? { x: 0, y: 0, zoom: 1 } + get().reactFlowInstance?.getViewport() ?? { x: 0, y: 0, zoom: 1 }, ); } }, - setEdges: (change,skipSave=false) => { + setEdges: (change, skipSave = false) => { let newChange = typeof change === "function" ? change(get().edges) : change; set({ edges: newChange, @@ -187,7 +187,7 @@ const useFlowStore = create((set, get) => ({ flowsManager.autoSaveCurrentFlow( get().nodes, newChange, - get().reactFlowInstance?.getViewport() ?? { x: 0, y: 0, zoom: 1 } + get().reactFlowInstance?.getViewport() ?? { x: 0, y: 0, zoom: 1 }, ); } }, @@ -205,7 +205,7 @@ const useFlowStore = create((set, get) => ({ return newChange; } return node; - }) + }), ); }, getNode: (id: string) => { @@ -216,8 +216,8 @@ const useFlowStore = create((set, get) => ({ get().nodes.filter((node) => typeof nodeId === "string" ? node.id !== nodeId - : !nodeId.includes(node.id) - ) + : !nodeId.includes(node.id), + ), ); }, deleteEdge: (edgeId) => { @@ -225,13 +225,11 @@ const useFlowStore = create((set, get) => ({ get().edges.filter((edge) => typeof edgeId === "string" ? edge.id !== edgeId - : !edgeId.includes(edge.id) - ) + : !edgeId.includes(edge.id), + ), ); }, paste: (selection, position) => { - function updateGroup() {} - if ( selection.nodes.some((node) => node.data.type === "ChatInput") && checkChatInput(get().nodes) @@ -268,8 +266,6 @@ const useFlowStore = create((set, get) => ({ let newId = getNodeId(node.data.type); idsMap[node.id] = newId; - updateGroupRecursion(node, selection.edges); - // Create a new node object const newNode: NodeType = { id: newId, @@ -283,6 +279,7 @@ const useFlowStore = create((set, get) => ({ id: newId, }, }; + updateGroupRecursion(newNode, selection.edges); // Add the new node to the list of nodes in state newNodes = newNodes @@ -295,7 +292,7 @@ const useFlowStore = create((set, get) => ({ let source = idsMap[edge.source]; let target = idsMap[edge.target]; const sourceHandleObject: sourceHandleType = scapeJSONParse( - edge.sourceHandle! + edge.sourceHandle!, ); let sourceHandle = scapedJSONStringfy({ ...sourceHandleObject, @@ -305,7 +302,7 @@ const useFlowStore = create((set, get) => ({ edge.data.sourceHandle = sourceHandleObject; const targetHandleObject: targetHandleType = scapeJSONParse( - edge.targetHandle! + edge.targetHandle!, ); let targetHandle = scapedJSONStringfy({ ...targetHandleObject, @@ -326,7 +323,7 @@ const useFlowStore = create((set, get) => ({ className: "stroke-gray-900 ", selected: false, }, - newEdges.map((edge) => ({ ...edge, selected: false })) + newEdges.map((edge) => ({ ...edge, selected: false })), ); }); get().setEdges(newEdges); @@ -345,10 +342,10 @@ const useFlowStore = create((set, get) => ({ }); const newNodes = get().nodes.filter( - (node) => !nodesIdsSelected.includes(node.id) + (node) => !nodesIdsSelected.includes(node.id), ); const newEdges = get().edges.filter( - (edge) => !edgesIdsSelected.includes(edge.id) + (edge) => !edgesIdsSelected.includes(edge.id), ); set({ nodes: newNodes, edges: newEdges }); @@ -406,7 +403,7 @@ const useFlowStore = create((set, get) => ({ style: { stroke: "#555" }, className: "stroke-foreground stroke-connection", }, - oldEdges + oldEdges, ); return newEdges; @@ -416,7 +413,7 @@ const useFlowStore = create((set, get) => ({ .autoSaveCurrentFlow( get().nodes, newEdges, - get().reactFlowInstance?.getViewport() ?? { x: 0, y: 0, zoom: 1 } + get().reactFlowInstance?.getViewport() ?? { x: 0, y: 0, zoom: 1 }, ); }, unselectAll: () => { @@ -447,7 +444,7 @@ const useFlowStore = create((set, get) => ({ function validateSubgraph(nodes: string[]) { const errorsObjs = validateNodes( get().nodes.filter((node) => nodes.includes(node.id)), - get().edges + get().edges, ); const errors = errorsObjs.map((obj) => obj.errors).flat(); @@ -466,7 +463,7 @@ const useFlowStore = create((set, get) => ({ function handleBuildUpdate( vertexBuildData: VertexBuildTypeAPI, status: BuildStatus, - runId: string + runId: string, ) { if (vertexBuildData && vertexBuildData.inactivated_vertices) { get().removeFromVerticesBuild(vertexBuildData.inactivated_vertices); @@ -484,11 +481,11 @@ const useFlowStore = create((set, get) => ({ // next_vertices_ids should be next_vertices_ids without the inactivated vertices const next_vertices_ids = vertexBuildData.next_vertices_ids.filter( - (id) => !vertexBuildData.inactivated_vertices?.includes(id) + (id) => !vertexBuildData.inactivated_vertices?.includes(id), ); const nextVertices: VertexLayerElementType[] = zip( next_vertices_ids, - vertexBuildData.top_level_vertices + vertexBuildData.top_level_vertices, ).map(([id, reference]) => ({ id: id!, reference })); const newLayers = [ @@ -507,13 +504,13 @@ const useFlowStore = create((set, get) => ({ }); get().updateBuildStatus( vertexBuildData.top_level_vertices, - BuildStatus.TO_BUILD + BuildStatus.TO_BUILD, ); } get().addDataToFlowPool( { ...vertexBuildData, buildId: runId }, - vertexBuildData.id + vertexBuildData.id, ); useFlowStore.getState().updateBuildStatus([vertexBuildData.id], status); @@ -522,7 +519,7 @@ const useFlowStore = create((set, get) => ({ const newFlowBuildStatus = { ...get().flowBuildStatus }; // filter out the vertices that are not status const verticesToUpdate = verticesIds?.filter( - (id) => newFlowBuildStatus[id]?.status !== BuildStatus.BUILT + (id) => newFlowBuildStatus[id]?.status !== BuildStatus.BUILT, ); if (verticesToUpdate) { @@ -587,7 +584,7 @@ const useFlowStore = create((set, get) => ({ verticesLayers: VertexLayerElementType[][]; runId: string; verticesToRun: string[]; - } | null + } | null, ) => { set({ verticesBuild: vertices }); }, @@ -612,7 +609,7 @@ const useFlowStore = create((set, get) => ({ // that are going to be built verticesIds: get().verticesBuild!.verticesIds.filter( // keep the vertices that are not in the list of vertices to remove - (vertex) => !vertices.includes(vertex) + (vertex) => !vertices.includes(vertex), ), }, }); diff --git a/src/frontend/src/utils/reactflowUtils.ts b/src/frontend/src/utils/reactflowUtils.ts index 83772ee0d..64f876f95 100644 --- a/src/frontend/src/utils/reactflowUtils.ts +++ b/src/frontend/src/utils/reactflowUtils.ts @@ -994,7 +994,6 @@ export function updateEdgesIds( if (targetHandle.proxy && idsMap[targetHandle.proxy!.id]) { targetHandle.proxy!.id = idsMap[targetHandle.proxy!.id]; } - console.log("edge", edge); edge.data.targetHandle = targetHandle; edge.targetHandle = scapedJSONStringfy(targetHandle); }); From c464e16d283da4dc3af7b9818c2fcc839c53c8db Mon Sep 17 00:00:00 2001 From: anovazzi1 Date: Tue, 14 May 2024 14:47:20 -0300 Subject: [PATCH 26/55] refactor: Update expandGroupNode function to handle template proxy values --- src/frontend/package-lock.json | 668 ++++++++++------------- src/frontend/src/utils/reactflowUtils.ts | 55 +- 2 files changed, 321 insertions(+), 402 deletions(-) diff --git a/src/frontend/package-lock.json b/src/frontend/package-lock.json index d4d59c3a2..bfa0919ba 100644 --- a/src/frontend/package-lock.json +++ b/src/frontend/package-lock.json @@ -107,15 +107,6 @@ "vite": "^4.5.2" } }, - "node_modules/@aashutoshrathi/word-wrap": { - "version": "1.2.6", - "resolved": "https://registry.npmjs.org/@aashutoshrathi/word-wrap/-/word-wrap-1.2.6.tgz", - "integrity": "sha512-1Yjs2SvM8TflER/OD3cOjhWWOZb58A2t7wpE2S9XfBYTiIl+XFhQG2bjy4Pu1I+EAlCNUzRDYDdFwFYUKvXcIA==", - "dev": true, - "engines": { - "node": ">=0.10.0" - } - }, "node_modules/@adobe/css-tools": { "version": "4.3.3", "resolved": "https://registry.npmjs.org/@adobe/css-tools/-/css-tools-4.3.3.tgz", @@ -180,20 +171,20 @@ } }, "node_modules/@babel/core": { - "version": "7.24.4", - "resolved": "https://registry.npmjs.org/@babel/core/-/core-7.24.4.tgz", - "integrity": "sha512-MBVlMXP+kkl5394RBLSxxk/iLTeVGuXTV3cIDXavPpMMqnSnt6apKgan/U8O3USWZCWZT/TbgfEpKa4uMgN4Dg==", + "version": "7.24.5", + "resolved": "https://registry.npmjs.org/@babel/core/-/core-7.24.5.tgz", + "integrity": "sha512-tVQRucExLQ02Boi4vdPp49svNGcfL2GhdTCT9aldhXgCJVAI21EtRfBettiuLUwce/7r6bFdgs6JFkcdTiFttA==", "dependencies": { "@ampproject/remapping": "^2.2.0", "@babel/code-frame": "^7.24.2", - "@babel/generator": "^7.24.4", + "@babel/generator": "^7.24.5", "@babel/helper-compilation-targets": "^7.23.6", - "@babel/helper-module-transforms": "^7.23.3", - "@babel/helpers": "^7.24.4", - "@babel/parser": "^7.24.4", + "@babel/helper-module-transforms": "^7.24.5", + "@babel/helpers": "^7.24.5", + "@babel/parser": "^7.24.5", "@babel/template": 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"node": ">=16 || 14 >=14.18" }, "funding": { "url": "https://github.com/sponsors/isaacs" } }, "node_modules/sucrase/node_modules/minipass": { - "version": "7.0.4", - "resolved": "https://registry.npmjs.org/minipass/-/minipass-7.0.4.tgz", - "integrity": "sha512-jYofLM5Dam9279rdkWzqHozUo4ybjdZmCsDHePy5V/PbBcVMiSZR97gmAy45aqi8CK1lG2ECd356FU86avfwUQ==", + "version": "7.1.1", + "resolved": "https://registry.npmjs.org/minipass/-/minipass-7.1.1.tgz", + "integrity": "sha512-UZ7eQ+h8ywIRAW1hIEl2AqdwzJucU/Kp59+8kkZeSvafXhZjul247BvIJjEVFVeON6d7lM46XX1HXCduKAS8VA==", "engines": { "node": ">=16 || 14 >=14.17" } @@ -12452,9 +12359,9 @@ } }, "node_modules/tough-cookie": { - "version": "4.1.3", - "resolved": "https://registry.npmjs.org/tough-cookie/-/tough-cookie-4.1.3.tgz", - "integrity": "sha512-aX/y5pVRkfRnfmuX+OdbSdXvPe6ieKX/G2s7e98f4poJHnqH3281gDPm/metm6E/WRamfx7WC4HUqkWHfQHprw==", + "version": "4.1.4", + "resolved": "https://registry.npmjs.org/tough-cookie/-/tough-cookie-4.1.4.tgz", + "integrity": "sha512-Loo5UUvLD9ScZ6jh8beX1T6sO1w2/MpCRpEP7V280GKMVUQ0Jzar2U3UJPsrdbziLEMMhu3Ujnq//rhiFuIeag==", "dependencies": { "psl": "^1.1.33", "punycode": "^2.1.1", @@ -12613,9 +12520,9 @@ } }, "node_modules/undici": { - "version": "6.14.1", - "resolved": "https://registry.npmjs.org/undici/-/undici-6.14.1.tgz", - "integrity": "sha512-mAel3i4BsYhkeVPXeIPXVGPJKeBzqCieZYoFsbWfUzd68JmHByhc1Plit5WlylxXFaGpgkZB8mExlxnt+Q1p7A==", + "version": "6.16.1", + "resolved": "https://registry.npmjs.org/undici/-/undici-6.16.1.tgz", + "integrity": "sha512-NeNiTT7ixpeiL1qOIU/xTVpHpVP0svmI6PwoCKaMGaI5AsHOaRdwqU/f7Fi9eyU4u03nd5U/BC8wmRMnS9nqoA==", "engines": { "node": ">=18.17" } @@ -12766,9 +12673,9 @@ } }, "node_modules/update-browserslist-db": { - "version": "1.0.13", - "resolved": "https://registry.npmjs.org/update-browserslist-db/-/update-browserslist-db-1.0.13.tgz", - "integrity": "sha512-xebP81SNcPuNpPP3uzeW1NYXxI3rxyJzF3pD6sH4jE7o/IX+WtSpwnVU+qIsDPyk0d3hmFQ7mjqc6AtV604hbg==", + "version": "1.0.16", + "resolved": "https://registry.npmjs.org/update-browserslist-db/-/update-browserslist-db-1.0.16.tgz", + "integrity": "sha512-KVbTxlBYlckhF5wgfyZXTWnMn7MMZjMu9XG8bPlliUOP9ThaF4QnhP8qrjrH7DRzHfSk0oQv1wToW+iA5GajEQ==", "funding": [ { "type": "opencollective", @@ -12784,8 +12691,8 @@ } ], "dependencies": { - "escalade": "^3.1.1", - "picocolors": "^1.0.0" + "escalade": "^3.1.2", + "picocolors": "^1.0.1" }, "bin": { "update-browserslist-db": "cli.js" @@ -13545,6 +13452,15 @@ "string-width": "^1.0.2 || 2 || 3 || 4" } }, + "node_modules/word-wrap": { + "version": "1.2.5", + "resolved": "https://registry.npmjs.org/word-wrap/-/word-wrap-1.2.5.tgz", + "integrity": "sha512-BN22B5eaMMI9UMtjrGd5g5eCYPpCPDUy0FJXbYsaT5zYxjFOckS53SQDE3pWkVoWpHXVb3BrYcEN4Twa55B5cA==", + "dev": true, + "engines": { + "node": ">=0.10.0" + } + }, "node_modules/wrap-ansi": { "version": "8.1.0", "resolved": "https://registry.npmjs.org/wrap-ansi/-/wrap-ansi-8.1.0.tgz", @@ -13672,9 +13588,9 @@ "devOptional": true }, "node_modules/ws": { - "version": "8.16.0", - "resolved": "https://registry.npmjs.org/ws/-/ws-8.16.0.tgz", - "integrity": "sha512-HS0c//TP7Ina87TfiPUz1rQzMhHrl/SG2guqRcTOIUYD2q8uhUdNHZYJUaQ8aTGPzCh+c6oawMKW35nFl1dxyQ==", + "version": "8.17.0", + "resolved": "https://registry.npmjs.org/ws/-/ws-8.17.0.tgz", + "integrity": "sha512-uJq6108EgZMAl20KagGkzCKfMEjxmKvZHG7Tlq0Z6nOky7YF7aq4mOx6xK8TJ/i1LeK4Qus7INktacctDgY8Ow==", "engines": { "node": ">=10.0.0" }, @@ -13726,9 +13642,9 @@ "integrity": "sha512-a4UGQaWPH59mOXUYnAG2ewncQS4i4F43Tv3JoAM+s2VDAmS9NsK8GpDMLrCHPksFT7h3K6TOoUNn2pb7RoXx4g==" }, "node_modules/yaml": { - "version": "2.4.1", - "resolved": "https://registry.npmjs.org/yaml/-/yaml-2.4.1.tgz", - "integrity": "sha512-pIXzoImaqmfOrL7teGUBt/T7ZDnyeGBWyXQBvOVhLkWLN37GXv8NMLK406UY6dS51JfcQHsmcW5cJ441bHg6Lg==", + "version": "2.4.2", + "resolved": "https://registry.npmjs.org/yaml/-/yaml-2.4.2.tgz", + "integrity": "sha512-B3VqDZ+JAg1nZpaEmWtTXUlBneoGx6CPM9b0TENK6aoSu5t73dItudwdgmi6tHlIZZId4dZ9skcAQ2UbcyAeVA==", "bin": { "yaml": "bin.mjs" }, @@ -13749,9 +13665,9 @@ } }, "node_modules/zod": { - "version": "3.23.4", - "resolved": "https://registry.npmjs.org/zod/-/zod-3.23.4.tgz", - "integrity": "sha512-/AtWOKbBgjzEYYQRNfoGKHObgfAZag6qUJX1VbHo2PRBgS+wfWagEY2mizjfyAPcGesrJOcx/wcl0L9WnVrHFw==", + "version": "3.23.8", + "resolved": "https://registry.npmjs.org/zod/-/zod-3.23.8.tgz", + "integrity": "sha512-XBx9AXhXktjUqnepgTiE5flcKIYWi/rme0Eaj+5Y0lftuGBq+jyRu/md4WnuxqgP1ubdpNCsYEYPxrzVHD8d6g==", "funding": { "url": "https://github.com/sponsors/colinhacks" } diff --git a/src/frontend/src/utils/reactflowUtils.ts b/src/frontend/src/utils/reactflowUtils.ts index 83772ee0d..b85782b09 100644 --- a/src/frontend/src/utils/reactflowUtils.ts +++ b/src/frontend/src/utils/reactflowUtils.ts @@ -1075,32 +1075,35 @@ export function expandGroupNode( }); //update template values Object.keys(template).forEach((key) => { - let { field, id } = template[key].proxy!; - let nodeIndex = gNodes.findIndex((n) => n.id === id); - if (nodeIndex !== -1) { - let proxy: { id: string; field: string } | undefined; - let display_name: string | undefined; - let show = gNodes[nodeIndex].data.node!.template[field].show; - let advanced = gNodes[nodeIndex].data.node!.template[field].advanced; - if (gNodes[nodeIndex].data.node!.template[field].display_name) { - display_name = - gNodes[nodeIndex].data.node!.template[field].display_name; - } else { - display_name = gNodes[nodeIndex].data.node!.template[field].name; - } - if (gNodes[nodeIndex].data.node!.template[field].proxy) { - proxy = gNodes[nodeIndex].data.node!.template[field].proxy; - } - gNodes[nodeIndex].data.node!.template[field] = template[key]; - gNodes[nodeIndex].data.node!.template[field].show = show; - gNodes[nodeIndex].data.node!.template[field].advanced = advanced; - gNodes[nodeIndex].data.node!.template[field].display_name = display_name; - // keep the nodes selected after ungrouping - // gNodes[nodeIndex].selected = false; - if (proxy) { - gNodes[nodeIndex].data.node!.template[field].proxy = proxy; - } else { - delete gNodes[nodeIndex].data.node!.template[field].proxy; + if (template[key].proxy) { + let { field, id } = template[key].proxy!; + let nodeIndex = gNodes.findIndex((n) => n.id === id); + if (nodeIndex !== -1) { + let proxy: { id: string; field: string } | undefined; + let display_name: string | undefined; + let show = gNodes[nodeIndex].data.node!.template[field].show; + let advanced = gNodes[nodeIndex].data.node!.template[field].advanced; + if (gNodes[nodeIndex].data.node!.template[field].display_name) { + display_name = + gNodes[nodeIndex].data.node!.template[field].display_name; + } else { + display_name = gNodes[nodeIndex].data.node!.template[field].name; + } + if (gNodes[nodeIndex].data.node!.template[field].proxy) { + proxy = gNodes[nodeIndex].data.node!.template[field].proxy; + } + gNodes[nodeIndex].data.node!.template[field] = template[key]; + gNodes[nodeIndex].data.node!.template[field].show = show; + gNodes[nodeIndex].data.node!.template[field].advanced = advanced; + gNodes[nodeIndex].data.node!.template[field].display_name = + display_name; + // keep the nodes selected after ungrouping + // gNodes[nodeIndex].selected = false; + if (proxy) { + gNodes[nodeIndex].data.node!.template[field].proxy = proxy; + } else { + delete gNodes[nodeIndex].data.node!.template[field].proxy; + } } } }); From 14ff98213da4c777d3e851bedf0ec4c3dc106414 Mon Sep 17 00:00:00 2001 From: anovazzi1 Date: Tue, 14 May 2024 19:23:36 -0300 Subject: [PATCH 27/55] add export flow on API modal and fix .env bug (#1896) * feat(codeTabsComponent): add ExportModal component to enable exporting flow data in CodeTabsComponent * refactor(service.py): update VariableService to handle environment variables with whitespace by stripping the value before creating the variable * chore: Update package versions to 1.0.0a33 and 0.0.44 for 'langflow' and 'langflow-base' respectively * make lock --- poetry.lock | 230 ++++++++++-------- pyproject.toml | 2 +- .../langflow/services/variable/service.py | 5 +- src/backend/base/poetry.lock | 6 +- src/backend/base/pyproject.toml | 2 +- .../components/codeTabsComponent/index.tsx | 7 + 6 files changed, 138 insertions(+), 114 deletions(-) diff --git a/poetry.lock b/poetry.lock index 909af7a6e..8c06db1c3 100644 --- a/poetry.lock +++ b/poetry.lock @@ -469,17 +469,17 @@ files = [ [[package]] name = "boto3" -version = "1.34.103" +version = "1.34.105" description = "The AWS SDK for Python" optional = false python-versions = ">=3.8" files = [ - {file = "boto3-1.34.103-py3-none-any.whl", hash = "sha256:59b6499f1bb423dd99de6566a20d0a7cf1a5476824be3a792290fd86600e8365"}, - {file = "boto3-1.34.103.tar.gz", hash = "sha256:58d097241f3895c4a4c80c9e606689c6e06d77f55f9f53a4cc02dee7e03938b9"}, + {file = "boto3-1.34.105-py3-none-any.whl", hash = "sha256:b633e8fbf7145bdb995ce68a27d096bb89fd393185b0e773418d81cd78db5a03"}, + {file = "boto3-1.34.105.tar.gz", hash = "sha256:f2c11635be0de7b7c06eb606ece1add125e02d6ed521592294a0a21af09af135"}, ] [package.dependencies] -botocore = ">=1.34.103,<1.35.0" +botocore = ">=1.34.105,<1.35.0" jmespath = ">=0.7.1,<2.0.0" s3transfer = ">=0.10.0,<0.11.0" @@ -488,13 +488,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"] [[package]] name = "botocore" -version = "1.34.103" +version = "1.34.105" description = "Low-level, data-driven core of boto 3." optional = false python-versions = ">=3.8" files = [ - {file = "botocore-1.34.103-py3-none-any.whl", hash = "sha256:0330d139f18f78d38127e65361859e24ebd6a8bcba184f903c01bb999a3fa431"}, - {file = "botocore-1.34.103.tar.gz", hash = "sha256:5f07e2c7302c0a9f469dcd08b4ddac152e9f5888b12220242c20056255010939"}, + {file = "botocore-1.34.105-py3-none-any.whl", hash = "sha256:a459d060b541beecb50681e6e8a39313cca981e146a59ba7c5229d62f631a016"}, + {file = "botocore-1.34.105.tar.gz", hash = "sha256:727d5d3e800ac8b705fca6e19b6fefa1e728a81d62a712df9bd32ed0117c740b"}, ] [package.dependencies] @@ -2476,13 +2476,13 @@ examples = ["oauth2"] [[package]] name = "google-ai-generativelanguage" -version = "0.6.2" +version = "0.6.3" description = "Google Ai Generativelanguage API client library" optional = false python-versions = ">=3.7" files = [ - {file = "google-ai-generativelanguage-0.6.2.tar.gz", hash = "sha256:308791ac3b9dad015b359172970739aa3753dd542142a416d07f9fa047e22386"}, - {file = "google_ai_generativelanguage-0.6.2-py3-none-any.whl", hash = "sha256:bf84c34c641570d7e8a1f2e6901e6771af1438f2ee8307d1801fd43585f9b1c6"}, + {file = "google-ai-generativelanguage-0.6.3.tar.gz", hash = "sha256:10a11f1e1bb8470ff50030c1acd729b3aba7a29ade2c30cf1d1c917291366c67"}, + {file = "google_ai_generativelanguage-0.6.3-py3-none-any.whl", hash = "sha256:55a6698f6c9cbbfde5f9cd288073b6941dd9e3e6dc2176dfa3197f9a4c489895"}, ] [package.dependencies] @@ -2796,16 +2796,16 @@ testing = ["pytest"] [[package]] name = "google-generativeai" -version = "0.5.2" +version = "0.5.3" description = "Google Generative AI High level API client library and tools." optional = false python-versions = ">=3.9" files = [ - {file = "google_generativeai-0.5.2-py3-none-any.whl", hash = "sha256:56f39485a0a673c93c21ec31c17809cc6a964193fb77b7ce809ad15d0dd72d7b"}, + {file = "google_generativeai-0.5.3-py3-none-any.whl", hash = "sha256:a74509ee219601c74c0561eb4e1c9af6a88594c7dd098d30a18c6592afe62bd9"}, ] [package.dependencies] -google-ai-generativelanguage = "0.6.2" +google-ai-generativelanguage = "0.6.3" google-api-core = "*" google-api-python-client = "*" google-auth = ">=2.15.0" @@ -4234,7 +4234,7 @@ types-requests = ">=2.31.0.2,<3.0.0.0" [[package]] name = "langflow-base" -version = "0.0.43" +version = "0.0.44" description = "A Python package with a built-in web application" optional = false python-versions = ">=3.10,<3.13" @@ -4346,13 +4346,13 @@ regex = ["regex"] 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"20.26.2" description = "Virtual Python Environment builder" optional = false python-versions = ">=3.7" files = [ - {file = "virtualenv-20.26.1-py3-none-any.whl", hash = "sha256:7aa9982a728ae5892558bff6a2839c00b9ed145523ece2274fad6f414690ae75"}, - {file = "virtualenv-20.26.1.tar.gz", hash = "sha256:604bfdceaeece392802e6ae48e69cec49168b9c5f4a44e483963f9242eb0e78b"}, + {file = "virtualenv-20.26.2-py3-none-any.whl", hash = "sha256:a624db5e94f01ad993d476b9ee5346fdf7b9de43ccaee0e0197012dc838a0e9b"}, + {file = "virtualenv-20.26.2.tar.gz", hash = "sha256:82bf0f4eebbb78d36ddaee0283d43fe5736b53880b8a8cdcd37390a07ac3741c"}, ] [package.dependencies] @@ -9803,13 +9817,13 @@ files = [ [[package]] name = "weaviate-client" -version = "4.6.0" +version = "4.6.1" description = "A python native Weaviate client" optional = false python-versions = ">=3.8" files = [ - {file = "weaviate_client-4.6.0-py3-none-any.whl", hash = "sha256:4c9608ba5d495d1fe28e451aca057086cb55242bb8432bfb0008f433eef7a6ab"}, - {file = "weaviate_client-4.6.0.tar.gz", hash = "sha256:5cc6c8b2a6f9122b34ffa688070e5060ab044fe72a4a9233eb9938c6067866b8"}, + {file = "weaviate_client-4.6.1-py3-none-any.whl", hash = "sha256:0db94e5c87f92c9490d90f6de6637baa55dc0d92a3750dd782667b7e5d718ca3"}, + {file = "weaviate_client-4.6.1.tar.gz", hash = "sha256:6d3351f20dd98e3936351473c305ff7660c5ec4bd8b5ad1f11593ef60e8058f6"}, ] [package.dependencies] diff --git a/pyproject.toml b/pyproject.toml index 62544c31e..55edcab69 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "langflow" -version = "1.0.0a32" +version = "1.0.0a33" description = "A Python package with a built-in web application" authors = ["Langflow "] maintainers = [ diff --git a/src/backend/base/langflow/services/variable/service.py b/src/backend/base/langflow/services/variable/service.py index 0c9208121..84671e0f9 100644 --- a/src/backend/base/langflow/services/variable/service.py +++ b/src/backend/base/langflow/services/variable/service.py @@ -33,10 +33,13 @@ class VariableService(Service): select(Variable).where(Variable.user_id == user_id, Variable.name == var) ).first(): try: + value = os.environ[var] + if isinstance(value, str): + value = value.strip() self.create_variable( user_id=user_id, name=var, - value=os.environ[var], + value=value, default_fields=[], _type="Credential", session=session, diff --git a/src/backend/base/poetry.lock b/src/backend/base/poetry.lock index a36ad1a2b..54b3145e0 100644 --- a/src/backend/base/poetry.lock +++ b/src/backend/base/poetry.lock @@ -1357,13 +1357,13 @@ source = ["Cython (>=3.0.10)"] [[package]] name = "mako" -version = "1.3.3" +version = "1.3.5" description = "A super-fast templating language that borrows the best ideas from the existing templating languages." optional = false python-versions = ">=3.8" files = [ - {file = "Mako-1.3.3-py3-none-any.whl", hash = "sha256:5324b88089a8978bf76d1629774fcc2f1c07b82acdf00f4c5dd8ceadfffc4b40"}, - {file = "Mako-1.3.3.tar.gz", hash = "sha256:e16c01d9ab9c11f7290eef1cfefc093fb5a45ee4a3da09e2fec2e4d1bae54e73"}, + {file = "Mako-1.3.5-py3-none-any.whl", hash = "sha256:260f1dbc3a519453a9c856dedfe4beb4e50bd5a26d96386cb6c80856556bb91a"}, + {file = "Mako-1.3.5.tar.gz", hash = "sha256:48dbc20568c1d276a2698b36d968fa76161bf127194907ea6fc594fa81f943bc"}, ] [package.dependencies] diff --git a/src/backend/base/pyproject.toml b/src/backend/base/pyproject.toml index b71200be7..de4935508 100644 --- a/src/backend/base/pyproject.toml +++ b/src/backend/base/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "langflow-base" -version = "0.0.43" +version = "0.0.44" description = "A Python package with a built-in web application" authors = ["Langflow "] maintainers = [ diff --git a/src/frontend/src/components/codeTabsComponent/index.tsx b/src/frontend/src/components/codeTabsComponent/index.tsx index c40c11439..0b08aaccd 100644 --- a/src/frontend/src/components/codeTabsComponent/index.tsx +++ b/src/frontend/src/components/codeTabsComponent/index.tsx @@ -43,6 +43,7 @@ import KeypairListComponent from "../keypairListComponent"; import ShadTooltip from "../shadTooltipComponent"; import { Label } from "../ui/label"; import { Switch } from "../ui/switch"; +import ExportModal from "../../modals/exportModal"; export default function CodeTabsComponent({ flow, @@ -167,6 +168,12 @@ export default function CodeTabsComponent({ Tweaks

+ +
+ + Export Flow +
+ {Number(activeTab) < 4 && ( <> From d42925c16c5ebf5c19120981775e59a16187d5bb Mon Sep 17 00:00:00 2001 From: Lucas Oliveira Date: Wed, 15 May 2024 13:59:50 +0200 Subject: [PATCH 28/55] Fixed Undo bug adding Skip Snapshot to function that resets inputs when disabled --- .../src/components/codeAreaComponent/index.tsx | 4 ++-- .../src/components/floatComponent/index.tsx | 2 +- .../src/components/inputComponent/index.tsx | 2 +- .../src/components/inputFileComponent/index.tsx | 6 +++--- .../src/components/inputGlobalComponent/index.tsx | 14 +++++++------- src/frontend/src/components/intComponent/index.tsx | 2 +- .../src/components/promptComponent/index.tsx | 2 +- .../src/components/textAreaComponent/index.tsx | 2 +- .../components/parameterComponent/index.tsx | 3 ++- src/frontend/src/types/components/index.ts | 14 +++++++------- 10 files changed, 26 insertions(+), 25 deletions(-) diff --git a/src/frontend/src/components/codeAreaComponent/index.tsx b/src/frontend/src/components/codeAreaComponent/index.tsx index af599e1d8..cd8a0f77d 100644 --- a/src/frontend/src/components/codeAreaComponent/index.tsx +++ b/src/frontend/src/components/codeAreaComponent/index.tsx @@ -18,12 +18,12 @@ export default function CodeAreaComponent({ setOpen, }: CodeAreaComponentType) { const [myValue, setMyValue] = useState( - typeof value == "string" ? value : JSON.stringify(value) + typeof value == "string" ? value : JSON.stringify(value), ); useEffect(() => { if (disabled && myValue !== "") { setMyValue(""); - onChange(""); + onChange("", true); } }, [disabled]); diff --git a/src/frontend/src/components/floatComponent/index.tsx b/src/frontend/src/components/floatComponent/index.tsx index a4ebf1ae9..8db5b823a 100644 --- a/src/frontend/src/components/floatComponent/index.tsx +++ b/src/frontend/src/components/floatComponent/index.tsx @@ -16,7 +16,7 @@ export default function FloatComponent({ // Clear component state useEffect(() => { if (disabled && value !== "") { - onChange(""); + onChange("", true); } }, [disabled]); diff --git a/src/frontend/src/components/inputComponent/index.tsx b/src/frontend/src/components/inputComponent/index.tsx index b1b4b9ef9..b285a1874 100644 --- a/src/frontend/src/components/inputComponent/index.tsx +++ b/src/frontend/src/components/inputComponent/index.tsx @@ -48,7 +48,7 @@ export default function InputComponent({ // Clear component state useEffect(() => { if (disabled && value && onChange && value !== "") { - onChange(""); + onChange("", true); } }, [disabled]); diff --git a/src/frontend/src/components/inputFileComponent/index.tsx b/src/frontend/src/components/inputFileComponent/index.tsx index 688ea8d97..fb83b18fb 100644 --- a/src/frontend/src/components/inputFileComponent/index.tsx +++ b/src/frontend/src/components/inputFileComponent/index.tsx @@ -27,7 +27,7 @@ export default function InputFileComponent({ useEffect(() => { if (disabled && value !== "") { setMyValue(""); - onChange(""); + onChange("", true); onFileChange(""); } }, [disabled, onChange]); @@ -106,8 +106,8 @@ export default function InputFileComponent({ editNode ? "input-edit-node input-dialog text-muted-foreground" : disabled - ? "input-disable input-dialog primary-input" - : "input-dialog primary-input text-muted-foreground" + ? "input-disable input-dialog primary-input" + : "input-dialog primary-input text-muted-foreground" } > {myValue !== "" ? myValue : "No file"} diff --git a/src/frontend/src/components/inputGlobalComponent/index.tsx b/src/frontend/src/components/inputGlobalComponent/index.tsx index 3e6b340cb..2ca1aed22 100644 --- a/src/frontend/src/components/inputGlobalComponent/index.tsx +++ b/src/frontend/src/components/inputGlobalComponent/index.tsx @@ -19,15 +19,15 @@ export default function InputGlobalComponent({ editNode = false, }: InputGlobalComponentType): JSX.Element { const globalVariablesEntries = useGlobalVariablesStore( - (state) => state.globalVariablesEntries + (state) => state.globalVariablesEntries, ); const getVariableId = useGlobalVariablesStore((state) => state.getVariableId); const unavaliableFields = useGlobalVariablesStore( - (state) => state.unavaliableFields + (state) => state.unavaliableFields, ); const removeGlobalVariable = useGlobalVariablesStore( - (state) => state.removeGlobalVariable + (state) => state.removeGlobalVariable, ); const setErrorData = useAlertStore((state) => state.setErrorData); @@ -38,7 +38,7 @@ export default function InputGlobalComponent({ data.node?.template[name].load_from_db ) { setTimeout(() => { - onChange(""); + onChange("", true); setDb(false); }, 100); } @@ -129,7 +129,7 @@ export default function InputGlobalComponent({
diff --git a/src/frontend/src/customNodes/genericNode/components/parameterComponent/index.tsx b/src/frontend/src/customNodes/genericNode/components/parameterComponent/index.tsx index dbcb1e3dc..c87c97741 100644 --- a/src/frontend/src/customNodes/genericNode/components/parameterComponent/index.tsx +++ b/src/frontend/src/customNodes/genericNode/components/parameterComponent/index.tsx @@ -1,5 +1,5 @@ import { cloneDeep } from "lodash"; -import React, { ReactNode, useEffect, useRef, useState } from "react"; +import { ReactNode, useEffect, useRef, useState } from "react"; import { Handle, Position, useUpdateNodeInternals } from "reactflow"; import CodeAreaComponent from "../../../../components/codeAreaComponent"; import DictComponent from "../../../../components/dictComponent"; @@ -18,20 +18,15 @@ import ToggleShadComponent from "../../../../components/toggleShadComponent"; import { Button } from "../../../../components/ui/button"; import { RefreshButton } from "../../../../components/ui/refreshButton"; import { - INPUT_HANDLER_HOVER, LANGFLOW_SUPPORTED_TYPES, - OUTPUT_HANDLER_HOVER, TOOLTIP_EMPTY, } from "../../../../constants/constants"; +import { Case } from "../../../../shared/components/caseComponent"; import useAlertStore from "../../../../stores/alertStore"; import useFlowStore from "../../../../stores/flowStore"; import useFlowsManagerStore from "../../../../stores/flowsManagerStore"; import { useTypesStore } from "../../../../stores/typesStore"; -import { - APIClassType, - ResponseErrorDetailAPI, - ResponseErrorTypeAPI, -} from "../../../../types/api"; +import { APIClassType } from "../../../../types/api"; import { ParameterComponentType } from "../../../../types/components"; import { debouncedHandleUpdateValues, @@ -44,12 +39,13 @@ import { isValidConnection, scapedJSONStringfy, } from "../../../../utils/reactflowUtils"; -import { - nodeColors, - nodeIconsLucide, - nodeNames, -} from "../../../../utils/styleUtils"; +import { nodeColors } from "../../../../utils/styleUtils"; import { classNames, groupByFamily } from "../../../../utils/utils"; +import useFetchDataOnMount from "../../../hooks/use-fetch-data-on-mount"; +import useHandleOnNewValue from "../../../hooks/use-handle-new-value"; +import useHandleNodeClass from "../../../hooks/use-handle-node-class"; +import useHandleRefreshButtonPress from "../../../hooks/use-handle-refresh-buttons"; +import TooltipRenderComponent from "../tooltipRenderComponent"; export default function ParameterComponent({ left, @@ -75,175 +71,69 @@ export default function ParameterComponent({ const nodes = useFlowStore((state) => state.nodes); const edges = useFlowStore((state) => state.edges); const setNode = useFlowStore((state) => state.setNode); - + const myData = useTypesStore((state) => state.data); + const takeSnapshot = useFlowsManagerStore((state) => state.takeSnapshot); const [isLoading, setIsLoading] = useState(false); + const updateNodeInternals = useUpdateNodeInternals(); + const [errorDuplicateKey, setErrorDuplicateKey] = useState(false); const flow = currentFlow?.data?.nodes ?? null; - const groupedEdge = useRef(null); - const setFilterEdge = useFlowStore((state) => state.setFilterEdge); + const { handleOnNewValue: handleOnNewValueHook } = useHandleOnNewValue( + data, + name, + takeSnapshot, + handleUpdateValues, + debouncedHandleUpdateValues, + setNode, + renderTooltips, + isLoading, + setIsLoading, + ); + + const { handleNodeClass: handleNodeClassHook } = useHandleNodeClass( + data, + name, + takeSnapshot, + setNode, + updateNodeInternals, + renderTooltips, + ); + + const { handleRefreshButtonPress: handleRefreshButtonPressHook } = + useHandleRefreshButtonPress(setIsLoading, setNode, renderTooltips); + let disabled = edges.some( (edge) => edge.targetHandle === scapedJSONStringfy(proxy ? { ...id, proxy } : id), ) ?? false; - const myData = useTypesStore((state) => state.data); - - const takeSnapshot = useFlowsManagerStore((state) => state.takeSnapshot); - const handleRefreshButtonPress = async (name, data) => { - setIsLoading(true); - try { - let newTemplate = await handleUpdateValues(name, data); - - if (newTemplate) { - setNode(data.id, (oldNode) => { - let newNode = cloneDeep(oldNode); - newNode.data = { - ...newNode.data, - }; - newNode.data.node.template = newTemplate; - return newNode; - }); - } - } catch (error) { - let responseError = error as ResponseErrorDetailAPI; - - setErrorData({ - title: "Error while updating the Component", - list: [responseError.response.data.detail ?? "Unknown error"], - }); - } - setIsLoading(false); - renderTooltips(); + handleRefreshButtonPressHook(name, data); }; - useEffect(() => { - async function fetchData() { - if ( - (data.node?.template[name]?.real_time_refresh || - data.node?.template[name]?.refresh_button) && - // options can be undefined but not an empty array - (data.node?.template[name]?.options?.length ?? 0) === 0 - ) { - setIsLoading(true); - try { - let newTemplate = await handleUpdateValues(name, data); - - if (newTemplate) { - setNode(data.id, (oldNode) => { - let newNode = cloneDeep(oldNode); - newNode.data = { - ...newNode.data, - }; - newNode.data.node.template = newTemplate; - return newNode; - }); - } - } catch (error) { - let responseError = error as ResponseErrorDetailAPI; - - setErrorData({ - title: "Error while updating the Component", - list: [responseError.response.data.detail ?? "Unknown error"], - }); - } - setIsLoading(false); - renderTooltips(); - } - } - fetchData(); - }, []); + useFetchDataOnMount( + data, + name, + handleUpdateValues, + setNode, + renderTooltips, + setIsLoading, + ); const handleOnNewValue = async ( newValue: string | string[] | boolean | Object[], skipSnapshot: boolean | undefined = false, ): Promise => { - const nodeTemplate = data.node!.template[name]; - const currentValue = nodeTemplate.value; - - if (currentValue !== newValue && !skipSnapshot) { - takeSnapshot(); - } - - const shouldUpdate = - data.node?.template[name].real_time_refresh && - !data.node?.template[name].refresh_button && - currentValue !== newValue; - - const typeToDebounce = nodeTemplate.type; - - nodeTemplate.value = newValue; - - let newTemplate; - if (shouldUpdate) { - setIsLoading(true); - try { - if (["int"].includes(typeToDebounce)) { - newTemplate = await handleUpdateValues(name, data); - } else { - newTemplate = await debouncedHandleUpdateValues(name, data); - } - } catch (error) { - let responseError = error as ResponseErrorTypeAPI; - setErrorData({ - title: "Error while updating the Component", - list: [responseError.response.data.detail.error ?? "Unknown error"], - }); - } - setIsLoading(false); - } - - setNode(data.id, (oldNode) => { - const newNode = cloneDeep(oldNode); - newNode.data = { - ...newNode.data, - }; - - if (data.node?.template[name].real_time_refresh && newTemplate) { - newNode.data.node.template = newTemplate; - } else { - newNode.data.node.template[name].value = newValue; - } - - return newNode; - }); - - renderTooltips(); + handleOnNewValueHook(newValue, skipSnapshot); }; - const updateNodeInternals = useUpdateNodeInternals(); - const handleNodeClass = (newNodeClass: APIClassType, code?: string): void => { - if (!data.node) return; - if (data.node!.template[name].value !== code) { - takeSnapshot(); - } - - setNode(data.id, (oldNode) => { - let newNode = cloneDeep(oldNode); - - newNode.data = { - ...newNode.data, - node: newNodeClass, - description: newNodeClass.description ?? data.node!.description, - display_name: newNodeClass.display_name ?? data.node!.display_name, - }; - - newNode.data.node.template[name].value = code; - - return newNode; - }); - - updateNodeInternals(data.id); - - renderTooltips(); + handleNodeClassHook(newNodeClass, code); }; - const [errorDuplicateKey, setErrorDuplicateKey] = useState(false); - useEffect(() => { // @ts-ignore infoHtml.current = ( @@ -264,88 +154,7 @@ export default function ParameterComponent({ if (groupedObj && groupedObj.length > 0) { //@ts-ignore refHtml.current = groupedObj.map((item, index) => { - const Icon: any = - nodeIconsLucide[item.family] ?? nodeIconsLucide["unknown"]; - - return ( -
- {index === 0 && ( - {left ? INPUT_HANDLER_HOVER : OUTPUT_HANDLER_HOVER} - )} - 0 ? "mt-2 flex items-center" : "mt-3 flex items-center", - )} - > -
- -
- - {nodeNames[item.family] ?? "Other"}{" "} - {item?.display_name && item?.display_name?.length > 0 ? ( - - {" "} - {item.display_name === "" ? "" : " - "} - {item.display_name.split(", ").length > 2 - ? item.display_name.split(", ").map((el, index) => ( - - - {index === - item.display_name.split(", ").length - 1 - ? el - : (el += `, `)} - - - )) - : item.display_name} - - ) : ( - - {" "} - {item.type === "" ? "" : " - "} - {item.type.split(", ").length > 2 - ? item.type.split(", ").map((el, index) => ( - - - {index === item.type.split(", ").length - 1 - ? el - : (el += `, `)} - - - )) - : item.type} - - )} - - -
- ); + return ; }); } else { //@ts-ignore @@ -354,6 +163,7 @@ export default function ParameterComponent({ ); } } + // If optionalHandle is an empty list, then it is not an optional handle if (optionalHandle && optionalHandle.length === 0) { optionalHandle = null; @@ -362,6 +172,9 @@ export default function ParameterComponent({ useEffect(() => { renderTooltips(); }, [tooltipTitle, flow]); + + console.log(left === true && type === "dict"); + return !showNode ? ( left && LANGFLOW_SUPPORTED_TYPES.has(type ?? "") && !optionalHandle ? ( <> @@ -427,11 +240,12 @@ export default function ParameterComponent({ (left ? "" : " justify-end") } > - {!left && data.node?.frozen && ( +
- )} + + {proxy ? ( {proxy.id}}> @@ -477,45 +291,37 @@ export default function ParameterComponent({ }`} type={left ? "target" : "source"} position={left ? Position.Left : Position.Right} - key={ - proxy - ? scapedJSONStringfy({ ...id, proxy }) - : scapedJSONStringfy(id) - } - id={ - proxy - ? scapedJSONStringfy({ ...id, proxy }) - : scapedJSONStringfy(id) - } + key={scapedJSONStringfy(proxy ? { ...id, proxy } : id)} + id={scapedJSONStringfy(proxy ? { ...id, proxy } : id)} isValidConnection={(connection) => isValidConnection(connection, nodes, edges) } className={classNames( - left ? "-ml-0.5 " : "-mr-0.5 ", + left ? "-ml-0.5" : "-mr-0.5", "h-3 w-3 rounded-full border-2 bg-background", )} - style={{ - borderColor: color ?? nodeColors.unknown, - }} - onClick={() => { - setFilterEdge(groupedEdge.current); - }} - > + style={{ borderColor: color ?? nodeColors.unknown }} + onClick={() => setFilterEdge(groupedEdge.current)} + />
)} - {left === true && - type === "str" && - !data.node?.template[name].options ? ( +
- {data.node?.template[name].list ? ( +
@@ -523,39 +329,27 @@ export default function ParameterComponent({ componentName={name} disabled={disabled} value={ - !data.node.template[name].value || - data.node.template[name].value === "" + !data.node!.template[name]?.value || + data.node!.template[name]?.value === "" ? [""] - : data.node.template[name].value + : data.node!.template[name]?.value } onChange={handleOnNewValue} /> - {/* {data.node?.template[name].refresh_button && ( -
- -
- )} */}
- ) : data.node?.template[name].multiline ? ( + +
- {data.node?.template[name].refresh_button && ( + {data.node?.template[name]?.refresh_button && (
)}
- ) : ( + +
- {data.node?.template[name].refresh_button && ( + {data.node?.template[name]?.refresh_button && (
)}
- )} +
- ) : left === true && type === "bool" ? ( + + +
- ) : left === true && type === "float" ? ( + + +
- ) : left === true && - type === "str" && - (data.node?.template[name].options || - data.node?.template[name]?.real_time_refresh) ? ( - // TODO: Improve CSS + + +
- {data.node?.template[name].refresh_button && ( + {data.node?.template[name]?.refresh_button && (
)}
- ) : left === true && type === "code" ? ( + + +
- ) : left === true && type === "file" ? ( + + +
{ data.node!.template[name].file_path = filePath; }} >
- ) : left === true && type === "int" ? ( + + +
- ) : left === true && type === "prompt" ? ( + + +
- ) : left === true && type === "NestedDict" ? ( + + +
- ) : left === true && type === "dict" ? ( + + +
{ const valueToNumbers = convertValuesToNumbers(newValue); setErrorDuplicateKey(hasDuplicateKeys(valueToNumbers)); - // if data.node?.template[name].list is true, then the value is an array of objects + // if data.node?.template[name]?.list is true, then the value is an array of objects // else we need to get the first object of the array - if (data.node?.template[name].list) { + if (data.node?.template[name]?.list) { handleOnNewValue(valueToNumbers); } else handleOnNewValue(valueToNumbers[0]); }} - isList={data.node?.template[name].list ?? false} + isList={data.node?.template[name]?.list ?? false} />
- ) : ( - <> - )} +
); diff --git a/src/frontend/src/customNodes/genericNode/components/tooltipRenderComponent/index.tsx b/src/frontend/src/customNodes/genericNode/components/tooltipRenderComponent/index.tsx new file mode 100644 index 000000000..ed2760161 --- /dev/null +++ b/src/frontend/src/customNodes/genericNode/components/tooltipRenderComponent/index.tsx @@ -0,0 +1,91 @@ +import React from "react"; +import { + INPUT_HANDLER_HOVER, + OUTPUT_HANDLER_HOVER, +} from "../../../../constants/constants"; +import { + nodeColors, + nodeIconsLucide, + nodeNames, +} from "../../../../utils/styleUtils"; +import { classNames } from "../../../../utils/utils"; + +const TooltipRenderComponent = ({ item, index, left }) => { + const Icon = nodeIconsLucide[item.family] ?? nodeIconsLucide["unknown"]; + + return ( +
+ {index === 0 && ( + {left ? INPUT_HANDLER_HOVER : OUTPUT_HANDLER_HOVER} + )} + 0 ? "mt-2 flex items-center" : "mt-3 flex items-center", + )} + > +
+ +
+ + {nodeNames[item.family] ?? "Other"}{" "} + {item?.display_name && item?.display_name?.length > 0 ? ( + + {" "} + {item.display_name === "" ? "" : " - "} + {item.display_name.split(", ").length > 2 + ? item.display_name.split(", ").map((el, index) => ( + + + {index === item.display_name.split(", ").length - 1 + ? el + : (el += `, `)} + + + )) + : item.display_name} + + ) : ( + + {" "} + {item.type === "" ? "" : " - "} + {item.type.split(", ").length > 2 + ? item.type.split(", ").map((el, index) => ( + + + {index === item.type.split(", ").length - 1 + ? el + : (el += `, `)} + + + )) + : item.type} + + )} + + +
+ ); +}; + +export default TooltipRenderComponent; diff --git a/src/frontend/src/customNodes/hooks/use-fetch-data-on-mount.tsx b/src/frontend/src/customNodes/hooks/use-fetch-data-on-mount.tsx new file mode 100644 index 000000000..3fc3fbe72 --- /dev/null +++ b/src/frontend/src/customNodes/hooks/use-fetch-data-on-mount.tsx @@ -0,0 +1,54 @@ +import { cloneDeep } from "lodash"; +import { useEffect } from "react"; +import useAlertStore from "../../stores/alertStore"; +import { ResponseErrorDetailAPI } from "../../types/api"; + +const useFetchDataOnMount = ( + data, + name, + handleUpdateValues, + setNode, + renderTooltips, + setIsLoading, +) => { + const setErrorData = useAlertStore((state) => state.setErrorData); + + useEffect(() => { + async function fetchData() { + if ( + (data.node?.template[name]?.real_time_refresh || + data.node?.template[name]?.refresh_button) && + // options can be undefined but not an empty array + (data.node?.template[name]?.options?.length ?? 0) === 0 + ) { + setIsLoading(true); + try { + let newTemplate = await handleUpdateValues(name, data); + + if (newTemplate) { + setNode(data.id, (oldNode) => { + let newNode = cloneDeep(oldNode); + newNode.data = { + ...newNode.data, + }; + newNode.data.node.template = newTemplate; + return newNode; + }); + } + } catch (error) { + let responseError = error as ResponseErrorDetailAPI; + + setErrorData({ + title: "Error while updating the Component", + list: [responseError.response.data.detail ?? "Unknown error"], + }); + } + setIsLoading(false); + renderTooltips(); + } + } + fetchData(); + }, []); // Empty dependency array ensures that this effect runs only once, on mount +}; + +export default useFetchDataOnMount; diff --git a/src/frontend/src/customNodes/hooks/use-handle-new-value.tsx b/src/frontend/src/customNodes/hooks/use-handle-new-value.tsx new file mode 100644 index 000000000..7de830eda --- /dev/null +++ b/src/frontend/src/customNodes/hooks/use-handle-new-value.tsx @@ -0,0 +1,75 @@ +import { cloneDeep } from "lodash"; +import useAlertStore from "../../stores/alertStore"; +import { ResponseErrorTypeAPI } from "../../types/api"; + +const useHandleOnNewValue = ( + data, + name, + takeSnapshot, + handleUpdateValues, + debouncedHandleUpdateValues, + setNode, + renderTooltips, + isLoading, + setIsLoading, +) => { + const setErrorData = useAlertStore((state) => state.setErrorData); + + const handleOnNewValue = async (newValue, skipSnapshot = false) => { + const nodeTemplate = data.node!.template[name]; + const currentValue = nodeTemplate.value; + + if (currentValue !== newValue && !skipSnapshot) { + takeSnapshot(); + } + + const shouldUpdate = + data.node?.template[name].real_time_refresh && + !data.node?.template[name].refresh_button && + currentValue !== newValue; + + const typeToDebounce = nodeTemplate.type; + + nodeTemplate.value = newValue; + + let newTemplate; + if (shouldUpdate) { + setIsLoading(true); + try { + if (["int"].includes(typeToDebounce)) { + newTemplate = await handleUpdateValues(name, data); + } else { + newTemplate = await debouncedHandleUpdateValues(name, data); + } + } catch (error) { + let responseError = error as ResponseErrorTypeAPI; + setErrorData({ + title: "Error while updating the Component", + list: [responseError.response.data.detail.error ?? "Unknown error"], + }); + } + setIsLoading(false); + } + + setNode(data.id, (oldNode) => { + const newNode = cloneDeep(oldNode); + newNode.data = { + ...newNode.data, + }; + + if (data.node?.template[name].real_time_refresh && newTemplate) { + newNode.data.node.template = newTemplate; + } else { + newNode.data.node.template[name].value = newValue; + } + + return newNode; + }); + + renderTooltips(); + }; + + return { handleOnNewValue }; +}; + +export default useHandleOnNewValue; diff --git a/src/frontend/src/customNodes/hooks/use-handle-node-class.tsx b/src/frontend/src/customNodes/hooks/use-handle-node-class.tsx new file mode 100644 index 000000000..412658d77 --- /dev/null +++ b/src/frontend/src/customNodes/hooks/use-handle-node-class.tsx @@ -0,0 +1,40 @@ +import { cloneDeep } from "lodash"; + +const useHandleNodeClass = ( + data, + name, + takeSnapshot, + setNode, + updateNodeInternals, + renderTooltips, +) => { + const handleNodeClass = (newNodeClass, code) => { + if (!data.node) return; + if (data.node!.template[name].value !== code) { + takeSnapshot(); + } + + setNode(data.id, (oldNode) => { + let newNode = cloneDeep(oldNode); + + newNode.data = { + ...newNode.data, + node: newNodeClass, + description: newNodeClass.description ?? data.node!.description, + display_name: newNodeClass.display_name ?? data.node!.display_name, + }; + + newNode.data.node.template[name].value = code; + + return newNode; + }); + + updateNodeInternals(data.id); + + renderTooltips(); + }; + + return { handleNodeClass }; +}; + +export default useHandleNodeClass; diff --git a/src/frontend/src/customNodes/hooks/use-handle-refresh-buttons.tsx b/src/frontend/src/customNodes/hooks/use-handle-refresh-buttons.tsx new file mode 100644 index 000000000..19f2a3c29 --- /dev/null +++ b/src/frontend/src/customNodes/hooks/use-handle-refresh-buttons.tsx @@ -0,0 +1,39 @@ +import { cloneDeep } from "lodash"; +import useAlertStore from "../../stores/alertStore"; +import { ResponseErrorDetailAPI } from "../../types/api"; +import { handleUpdateValues } from "../../utils/parameterUtils"; + +const useHandleRefreshButtonPress = (setIsLoading, setNode, renderTooltips) => { + const setErrorData = useAlertStore((state) => state.setErrorData); + + const handleRefreshButtonPress = async (name, data) => { + setIsLoading(true); + try { + let newTemplate = await handleUpdateValues(name, data); + + if (newTemplate) { + setNode(data.id, (oldNode) => { + let newNode = cloneDeep(oldNode); + newNode.data = { + ...newNode.data, + }; + newNode.data.node.template = newTemplate; + return newNode; + }); + } + } catch (error) { + let responseError = error as ResponseErrorDetailAPI; + + setErrorData({ + title: "Error while updating the Component", + list: [responseError.response.data.detail ?? "Unknown error"], + }); + } + setIsLoading(false); + renderTooltips(); + }; + + return { handleRefreshButtonPress }; +}; + +export default useHandleRefreshButtonPress; diff --git a/src/frontend/src/modals/editNodeModal/index.tsx b/src/frontend/src/modals/editNodeModal/index.tsx index b853ecfab..0db4bdcf5 100644 --- a/src/frontend/src/modals/editNodeModal/index.tsx +++ b/src/frontend/src/modals/editNodeModal/index.tsx @@ -28,6 +28,7 @@ import { LANGFLOW_SUPPORTED_TYPES, limitScrollFieldsModal, } from "../../constants/constants"; +import { Case } from "../../shared/components/caseComponent"; import useFlowStore from "../../stores/flowStore"; import { NodeDataType } from "../../types/flow"; import { @@ -52,7 +53,7 @@ const EditNodeModal = forwardRef( open: boolean; setOpen: (open: boolean) => void; }, - ref + ref, ) => { const [myData, setMyData] = useState(data); @@ -84,6 +85,10 @@ const EditNodeModal = forwardRef( const [errorDuplicateKey, setErrorDuplicateKey] = useState(false); + const type = (templateParam) => { + return myData.node?.template[templateParam].type; + }; + return ( limitScrollFieldsModal ? "overflow-scroll overflow-x-hidden custom-scroll" - : "" + : "", )} > {nodeLength > 0 && ( @@ -138,8 +143,8 @@ const EditNodeModal = forwardRef( templateParam.charAt(0) !== "_" && myData.node?.template[templateParam].show && LANGFLOW_SUPPORTED_TYPES.has( - myData.node.template[templateParam].type - ) + myData.node!.template[templateParam].type, + ), ) .map((templateParam, index) => { let id = { @@ -161,8 +166,8 @@ const EditNodeModal = forwardRef( myData.node?.template[templateParam] .proxy, } - : id - ) + : id, + ), ) ?? false; return (