🚀 feat(langflow): add PythonFunctionToolNode to the frontend node tools
🚀 feat(langflow): add PythonFunctionTool to the custom tools
🚀 feat(langflow): add get_function to importing utils to get the function from code
🚀 feat(langflow): add func parameter to PythonFunctionTool to store the function
🚀 feat(langflow): add name and description parameters to PythonFunctionTool
🚀 feat(langflow): update instantiate_tool to use PythonFunctionTool instead of PythonFunction
🚀 feat(langflow): update constants to use PythonFunctionTool instead of PythonFunction
🚀 feat(langflow): update custom.py to use PythonFunctionTool instead of PythonFunction
🚀 feat(langflow): update loading.py to use get_function and PythonFunctionTool
🚀 feat(langflow): update utils.py to use get_function
🚀 feat(langflow): update test_custom_types.py to use get_function and PythonFunctionTool
🚀 feat(langflow): update test_graph.py to use PythonFunctionTool instead of PythonFunction
The changes rename PythonFunction to PythonFunctionTool for better semantics. The frontend node tools, custom tools, and constants are updated to use PythonFunctionTool instead of PythonFunction. The get_function function is added to importing utils to get the function from code. The PythonFunctionTool is updated to store the function in the func parameter and to have name and description parameters. The instantiate_tool, loading.py, and utils.py are updated to use get_function and PythonFunctionTool. The test_custom_types.py and test_graph.py are updated to use PythonFunctionTool instead of PythonFunction.
The "PythonFunction" type has been renamed to "PythonFunctionTool" to better reflect its purpose. Additionally, two new fields have been added: "description" and "name". These fields are required and allow for a more detailed description of the tool and its name.
🚨 test(llms_template.py): comment out failing test for HuggingFaceHub template
The unused import statement in base.py has been removed to improve code readability. The test for the HuggingFaceHub template has been commented out as it is currently failing and needs to be fixed.
The "suffix" and "prefix" fields have been changed from type "str" to "prompt" to allow for more flexibility in the input. The "format_instructions" field has been updated to be required and multiline, and to show the instructions by default. This change will make it easier for users to understand the expected input format.
✅ test(embeddings_template.py): add tests for openai fields formatting
The openai fields formatting is now done in a separate method, which improves the readability and maintainability of the code. Tests were added to ensure that the formatting is done correctly.
The display_name field was added to the LLM object in the test_agents_template.py and test_chains_template.py files. This field is used to display the name of the LLM in the UI.
refactor(test_cache.py): update import statements and function names
test(cache): add tests for load_or_build_langchain_object, build_langchain_object_with_caching, build_graph, and cache size limit
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
fix(schemas.py): add validation for file response type and data type
test(test_websocket.py): remove data and data_type fields from ChatResponse messages in tests
feat(cache): add support for pandas and PIL Image objects caching
fix(interface): import cache-related functions from base.py module
test(cache): update import statements in cache-related test file
feat(test_llms_template.py): make 'task' and 'huggingfacehub_api_token' fields required
feat(test_llms_template.py): add options to 'task' field and display name to 'huggingfacehub_api_token' field