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 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
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.
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.
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.
📝 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.
🔧 fix(frontend): update class names and colors in index.css to match the new design
🔧 fix(frontend): update tailwind.config.js to use the new color variable name 'status-blue' instead of 'medium-dark-blue'
🐛 fix(codeAreaComponent): fix formatting and add missing semicolons to improve code readability and maintainability
🐛 fix(dropdownComponent): fix formatting and add missing semicolons to improve code readability and maintainability
🐛 fix(floatComponent): fix formatting and add missing semicolons to improve code readability and maintainability
🐛 fix(inputFileComponent): fix formatting and add missing semicolons to improve code readability and maintainability
🐛 fix(inputListComponent): fix formatting and add missing semicolons to improve code readability and maintainability
🐛 fix(intComponent): fix formatting and add missing semicolons to improve code readability and maintainability
🐛 fix(promptComponent): fix formatting and add missing semicolons to improve code readability and maintainability
🐛 fix(textAreaComponent): fix formatting and add missing semicolons to improve code readability and maintainability
🐛 fix(ui/accordion.tsx): fix formatting and add missing semicolons to improve code readability and maintainability
The changes were made to fix formatting issues and add missing semicolons in the code. This improves code readability and maintainability, making it easier for developers to understand and work with the code.
🐛 fix(constants.tsx): fix formatting and indentation issues in the buildTweakObject function
🐛 fix(popUpContext.tsx): remove unnecessary empty line
🐛 fix(tabsContext.tsx): remove unnecessary empty line
🐛 fix(ApiModal/index.tsx): fix formatting and indentation issues
🐛 fix(codeAreaModal/index.tsx): fix formatting and indentation issues
🐛 fix(types/components/index.ts): remove unnecessary empty line
The changes in constants.tsx fix formatting and indentation issues in the buildTweakObject function to improve code readability. The changes in popUpContext.tsx, tabsContext.tsx, ApiModal/index.tsx, codeAreaModal/index.tsx, and types/components/index.ts fix formatting and indentation issues to ensure consistent code style.
🐛 fix(base.py): add optional 'name' parameter to the format method in FieldFormatter
In loading.py, the error message when failing to build a connection to the database is now formatted in a more readable way. This improves the clarity of the error message and makes it easier to identify the cause of the issue.
In base.py, the format method in FieldFormatter now accepts an optional 'name' parameter. This allows for more flexibility when formatting the field and provides the ability to include the field name in the formatting process if needed.
The color code for the "retrievers" category in the nodeColors object has been updated from "#F5B85A" to "#e6b25a". This change was made to ensure consistency and improve the visual representation of the "retrievers" category.
The ConversationEntityMemory integration is now documented in the config.yaml file. This provides a link to the documentation for using the ConversationEntityMemory module with SQLite as the underlying storage. This change improves the clarity and accessibility of the documentation for this integration.
🐛 fix(constants.tsx): refactor getCurlCode and getPythonCode to use buildTweakObject function for generating tweak object
🐛 fix(ApiModal): update logic for opening accordions based on tweak.current length and closeEdit value
- Simplify class names in the SingleAlert component and update color variables.
- Update class names and color variables in the Dialog component.
- Update color variables in the constants file.
- Update color variables and class names in the index.css file.
- Update class names and color variables in the PageComponent file.
- Add a color variable for shared blur styles.
- Update Tailwind CSS configuration to include new color variables.
Note: These changes improve code readability and maintain color consistency throughout the application.
The code now catches an additional exception when the object does not have a 'conn' field. This improves the error handling by providing a more specific error message when building a connection to the database fails.
The 'from_method_nodes' dictionary in the 'MemoryCreator' class in 'base.py' has been updated to include the 'SQLiteEntityStore' class and its '__init__' method. This change allows the 'SQLiteEntityStore' class to be used as a memory node in the LangFlow application.
✨ feat(memories.py): add show attribute to entity_store field in MemoryFrontendNode class
The condition to add extra fields in the MemoryFrontendNode class has been fixed to correctly check if any of the base classes are in a list of base message classes. Additionally, the show attribute has been added to the entity_store field in the MemoryFrontendNode class to control its visibility.
The "kwargs" and "args" parameters are now excluded from the generated template dictionary. This ensures that only the relevant parameters are included in the template, improving the accuracy and usefulness of the generated template.
When processing the data graph, if the langchain_object is of an unknown type, a ValueError is now raised. This provides better error handling and helps identify any unexpected langchain_object types that may be encountered during processing.
✨ feat(base.py): add support for creating MemoryFrontendNode from a specific method in ZepChatMessageHistory class
The `MemoryCreator` class now supports creating `MemoryFrontendNode` from a specific method in the `ZepChatMessageHistory` class. This is achieved by adding the `from_method_nodes` dictionary with the method name as the key and the class name as the value. The `build_template_from_method` function is used to create the `MemoryFrontendNode` from the specified method. This enhancement allows for more flexibility in creating `MemoryFrontendNode` instances.
✨ feat(base.py): add support for ZepRetriever in from_method_nodes dictionary
The build_template_from_method call for the MultiQueryRetriever in the get_signature method was using the incorrect method name "from_llm". It has been fixed to use the correct method name "from_method_nodes". Additionally, support for the ZepRetriever has been added to the from_method_nodes dictionary to allow for its usage in the RetrieverCreator class.
The 'url' field in the MemoryFrontendNode class is now set to be shown in the frontend. This change allows the 'url' field to be visible and accessible to users in the frontend interface.
The "self" parameter is now excluded from the template building process. This change improves the accuracy of the generated template by removing unnecessary information.
The unused integrations in the memories and retrievers sections have been commented out to improve code readability and remove unnecessary clutter. These integrations are not currently being used in the application and can be safely ignored.
- Update CSS classes in codeAreaComponent, floatComponent, intComponent, and dialog components to improve styling and maintain consistency.
- Replace specific color values with Tailwind CSS utility classes.
- Refactor input styles and focus styles for better user experience.
- Remove unused CSS classes from index.css.
