The logic for updating memory keys in the `run.py` file has been refactored to use a loop and a try-except block. Instead of individually assigning values to `input_key`, `output_key`, and `memory_key`, the keys and attributes are now stored in lists. The loop iterates over the lists and attempts to set the attribute values using `setattr()`. If an attribute does not exist, a `ValueError` is caught and a debug log message is printed. This refactoring improves code readability and maintainability.
🔧 fix(dropdownComponent): update import statement for INPUT_STYLE constant to include additional constant for input edit node
🔧 fix(floatComponent): update import statement for INPUT_STYLE constant to include additional constants for input disable and input edit node
🔧 fix(inputComponent): update import statement for INPUT_STYLE constant to include additional constants for input disable and input edit node
🔧 fix(inputFileComponent): update import statement for INPUT_STYLE constant to include additional constants for input disable and input edit node
🔧 fix(inputListComponent): update import statement for INPUT_STYLE constant to include additional constants for input disable and input edit node
🐛 fix(intComponent): add INPUT_DISABLE constant to disable input when disabled prop is true
🐛 fix(promptComponent): add INPUT_DISABLE constant to disable input when disabled prop is true
🐛 fix(textAreaComponent): add INPUT_DISABLE constant to disable input when disabled prop is true
🐛 fix(extraSidebarComponent): change INPUT_STYLE to INPUT_SEARCH for search input styling
✨ feat(server.ts): change port variable case from lowercase port to uppercase PORT to improve semantics
✨ feat(server.ts): add support for process.env.PORT environment variable to be able to run app on a configurable port
The 'value' of the 'persist_directory' field is set to False to disable persistence. This change ensures that the 'persist_directory' field is not shown and the value is not set to True by default.
The persist_directory field in the VectorStoreFrontendNode class is now set to False. This change was made to disable the persistence of the directory.
- Simplify component styles for codeAreaComponent, dropdownComponent, floatComponent, inputComponent, inputFileComponent, intComponent, promptComponent, and textAreaComponent.
- Remove unnecessary classes and styling.
- Improve overall readability and maintainability of the code.
The langchainplus-sdk package has been updated to version 0.0.18. This update includes bug fixes and improvements to the client library for connecting to the LangSmith LLM Tracing and Evaluation Platform.
The classNames in the Dropdown component were updated to use the consistent background color "bg-background" instead of "bg-white" to improve visual consistency and maintain a unified design across the application.
fix(exportModal/index.tsx): update downloadFlow function calls to include flow name and description parameters
fix(types/tabs/index.ts): update downloadFlow function signature to include flow name and description parameters
🔒 chore(test_graph.py): comment out the complex graph test case to improve the performance of the test suite. The complex graph test case is currently not passing and is causing unnecessary delays in the test execution.
The commented out code was not needed and was cluttering the test file. The test input for the websocket was updated to use a more descriptive key name "input" instead of "type" to improve clarity and readability.
The file `langchain.db` is now added to the list of ignored files in the `.gitignore` file. This ensures that the `langchain.db` file is not tracked by Git and will not be included in future commits.
The import of the Serializable class is no longer needed in the test_chains_template.py file, so it has been removed to improve code cleanliness and remove unnecessary dependencies.
This pull request addresses a bug related to WebSocket functionality
that was causing an empty error to be displayed. The bug resulted in
incorrect error-handling behavior within the WebSocket implementation,
leading to confusion and difficulties in identifying and resolving
issues.
By addressing this bug and improving the WebSocket error handling
mechanism, this pull request significantly enhances the overall
stability and reliability of the application.
The missing return statement caused the function to not return any value when the node_type is not "VertexAI". Adding the return statement ensures that the function returns the instantiated class object with the provided parameters in all cases.
The VertexAIIcon component is added to the icons directory, allowing the usage of the Vertex AI icon in the application. The nodeIconsLucide object in the utils.ts file is updated to include the VertexAI and ChatVertexAI icons, enabling their usage in the application. This addition enhances the visual representation of the application by providing new icons related to Vertex AI functionality.
fix(alertContext.tsx): set the error, notice, and success data states before opening the respective alerts
feat(chatModal/index.tsx): add error handling for websocket connection and check backend health before reconnecting
🔧 fix(loading.py): remove empty lines
The type error for the service_account import in llm.py is ignored to prevent a linting error. In loading.py, empty lines were removed for code cleanliness.
🎨 style(singleAlertComponent): update hover text color to accent foreground color for better visibility
🎨 style(notice): update hover text color to accent foreground color for better visibility
🎨 style(ExtraSidebarComponent): update hover text color to accent foreground color for better visibility
🎨 style(codeAreaComponent): update hover text color to accent foreground color for better visibility
🎨 style(headerComponent): update hover text color to accent foreground color for better visibility
🎨 style(inputFileComponent): update hover text color to accent foreground color for better visibility
🎨 style(inputListComponent): update hover text color to accent foreground color for better visibility
🎨 style(promptComponent): update hover text color to accent foreground color for better visibility
🎨 style(textAreaComponent): update hover text color to accent foreground color for better visibility
🎨 style(NodeModal): update hover text color to accent foreground color for better visibility
🎨 style(promptModal): update hover text color to accent foreground color for better visibility
🎨 style(textAreaModal/index.tsx): update button text color class to 'text-accent-foreground' for better visibility on hover
The ChatVertexAI integration is temporarily commented out due to a bug that causes an AttributeError. This bug needs to be resolved before the integration can be activated again.
🔀 chore(custom_lists.py): add ChatVertexAI to the import statements for better modularity and extensibility
🔀 chore(custom_lists.py): add ChatVertexAI to the llm_type_to_cls_dict for better compatibility and flexibility
🔀 chore(llms.py): change required field for credentials to be optional for better user experience
🔀 chore(llms.py): add advanced and show fields for specific fields related to VertexAI for better configurability
The import statements in `custom_lists.py` have been reformatted to improve readability and maintainability. The `ChatVertexAI` class has been added to the import statements to enhance modularity and extensibility.
The `ChatVertexAI` class has been added to the `llm_type_to_cls_dict` dictionary in `custom_lists.py` to improve compatibility and flexibility.
In `llms.py`, the `required` field for the `credentials` field has been changed to be optional for a better user experience.
The `advanced` and `show` fields have been added to specific fields related to VertexAI in `llms.py` to provide better configurability.
🔧 fix(tabsContext): add optional fileName parameter to downloadFlow function to allow customizing the downloaded file name
🔧 fix(exportModal): add optional fileName parameter to downloadFlow function calls to allow customizing the downloaded file name
🔧 fix(tabsContext): update downloadFlow function signature to include optional fileName parameter
The logic to find the matched_type in the Edge class has been simplified by removing unnecessary nested loops and using a single generator expression. This improves the readability and efficiency of the code.
🔧 chore(loading.py): call initialize_vertexai function when node_type is "VertexAI"
The `llm.py` file now includes a new function `initialize_vertexai` that initializes the VertexAI credentials if a `credentials` parameter is provided. This allows for the usage of VertexAI credentials in the application. In `loading.py`, the `initialize_vertexai` function is called when the `node_type` is "VertexAI", ensuring that the VertexAI credentials are properly initialized for that specific node type.
The condition for showing fields in the VertexAI class has been simplified to exclude specific field names. This improves readability and maintainability of the code.
⬆️ feat(pyproject.toml): add google-cloud-aiplatform dependency to enable integration with Google Cloud AI Platform
The python dependency version has been updated to >=3.9,<3.11 to ensure compatibility with the project. Additionally, the google-cloud-aiplatform dependency has been added to enable integration with Google Cloud AI Platform services.
📝 chore(llms.py): improve field configuration for VertexAI template and modify field type for "credentials"
The `add_extra_fields` method is modified to add an additional field called "credentials" for the VertexAI template. The field is of type "file" and is required. It allows the user to upload a JSON file as credentials. The `format_openai_field` method is also updated to handle the new "credentials" field.
