fix(base.py): raise ValueError if content is None in save_binary_file function
feat(nodes.py): add memory field to TimeTravelGuideChainNode
test(test_chains_template.py): add test for memory field in TimeTravelGuideChainNode
The `tool_names` variable was changed from a list to a set in the `JsonAgent`, `CSVAgent`, `VectorStoreAgent`, `SQLAgent`, and `MalfoyAgent` classes. This change was made to improve performance and avoid duplicates.
This commit changes the `tool_names` variable from a set to a list in the `JsonAgent`, `CSVAgent`, `VectorStoreAgent`, `SQLAgent`, `VectorStoreRouterAgent`, `MalfoyAgent`, and `load_agent_executor_from_config` classes. This is done to ensure that the `tool_names` variable is always a list, even when there is only one tool.
This commit changes the `tool_names` variable from a list to a set in several
places in the codebase. This is done to improve performance and readability
since the `tool_names` variable is used as a set in the code. The affected
files are `custom.py`, `prebuilt.py`, and `loading.py`.
feat(langflow): add function base class to InitializeAgentNode
The `build_template_from_class` function in `ChainCreator` now supports adding a function to the chain. This is done by passing `add_function=True` to the function.
In `InitializeAgentNode`, the `base_classes` attribute has been updated to include the `function` base class. This allows the node to be used as a function in the chain.
fix(chat_manager.py): empty chat history for a client when an exception is raised
fix(GenericNode): fix useEffect dependencies to avoid unnecessary re-renders
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 adds validation for pydantic BaseModel subclasses in the
instantiate_class function. The function now checks if the class_object
is a subclass of BaseModel and if so, it validates the params passed to
it against the fields of the class_object.
Add verbose and fix_memory_inputs to langchain_object in load_flow_from_json function. The verbose attribute is set to True if it exists in the langchain_object. The fix_memory_inputs function is called on the langchain_object.
