refactor(langflow): set advanced flag to False for LLMFrontendNode class' api key field
feat(langflow): add show flag to LLMFrontendNode class' model_kwargs field
refactor(langflow): set advanced flag to False and show flag to True for LLMFrontendNode class' model_name and temperature fields
This commit modifies run.py to use type hinting and avoid circular imports by changing the import for NotEnoughElementsException to use type: ignore. Specifically, the code now imports from chromadb.errors instead of chromadb.exceptions.
This commit refactors the code for the ImportModal component to use hooks like useState and useContext, resulting in improved readability and maintainability. It also adds functionality to load prebuilt examples and handle local file uploads.
This pull request adds a new feature to the flow editor that allows
users to easily import example flows from the
[logspace-ai/langflow_examples](https://github.com/logspace-ai/langflow_examples)
repository on GitHub. The feature is accessible via the import example
button
Clicking on the "Import Examples" button opens a dialog box that
displays a list of available example flows from the GitHub repository.
Users can select one example to import, and the flow editor will
automatically add the selected flow to the user's current project.
This feature saves users time and effort by providing a convenient way
to explore and utilize pre-built flows.
Additionally, this feature promotes collaboration and community
involvement by encouraging users to contribute their own flows to the
repository for others to use and benefit from.
This change adds error handling to catch a specific exception that may occur when processing documents with the ChromaDB library. If there are not enough documents for indexing, the error message will suggest reducing the chunk size in TextSplitter.
"UnicodeDecodeError: 'charmap' codec can't decode byte 0x9d in position 9465: character maps to
<undefined>".
Specifying the encodint type in the function helps to fix that error.
Add an advanced flag to the TemplateFieldCreator and FrontendNode classes to allow for fields to be hidden from the user interface. In the TemplateFieldCreator class, the advanced flag is set to False by default. In the FrontendNode class, the advanced flag is set to False for all fields except for "model_type" and "model_kwargs", which are set to True.
refactor(tools/base.py): comment out unused code for ToolCreator
feat(nodes.py): add 'return_direct' field to ToolNode template and set base class to 'Tool'
