The test_chat_history test is outdated and no longer works with the current implementation of the application. It has been removed to avoid confusion and to keep the test suite clean.
🐛 fix(interface/loading.py): fix custom_node instantiation to handle classes without initialize method
✨ feat(template/frontend_node/prompts.py): change type_name to match class name
✨ feat(template/frontend_node/tools.py): change type_name to match class name
🔥 chore(test_agents_template.py): remove test_agents_settings and update initialize_agent test
The vertex_type assignment in the Vertex class was not handling uppercase template types correctly. This has been fixed to handle both uppercase and lowercase types. The custom_node instantiation in the instantiate_class function was not handling classes without an initialize method correctly. This has been fixed to instantiate the class directly if the initialize method is not present. The type_name in the ZeroShotPromptNode and PythonFunctionToolNode classes have been changed to match the class name. The test_agents_settings test has been removed as it is no longer necessary and the initialize_agent test has been updated to match the new AgentInitializer class name.
🚀 feat(loading.py): add support for PythonFunction node type
🚀 feat(constants.py): add PythonFunction to CUSTOM_TOOLS
🚀 feat(custom.py): add PythonFunction class
🚀 feat(frontend_node/tools.py): add PythonFunctionNode class
🧪 test(test_custom_types.py): add test for PythonFunction class
🧪 test(test_llms_template.py): comment out tests for AzureOpenAI and AzureChatOpenAI
The changes add support for a new node type, PythonFunction, which allows users to define a Python function to be executed. The node type is added to CUSTOM_NODES in customs.py, and support for the node type is added to loading.py. The node type is also added to CUSTOM_TOOLS in constants.py, and the PythonFunction class is added to custom.py. The PythonFunctionNode class is added to frontend_node/tools.py. Tests for the new PythonFunction class are added to test_custom_types.py. Tests for AzureOpenAI and AzureChatOpenAI are commented out in test_llms_template.py.
The API endpoint URLs have been updated to include the version number to improve the API's versioning and maintainability. The changes were made to the server.ts file and the tests that use the API endpoints.
🐛 fix(tests): update API endpoint paths in test files
The API endpoint paths in the test files were outdated and have been updated to reflect the current API version. This ensures that the tests are running against the correct endpoints and that the tests are up-to-date with the current API version.
There are still some rough edges due to underlying langchain and
openai API limitations, e.g. hwchase17/langchain#3769 and
openai/openai-python#411. Notably, you can't use the Azure and
non-Azure node types in the same server, since there's global openai
configuration needed to choose between the two. So it's probably best
to still leave the Azure node types commented out in the default
config. But with this PR, if you uncomment those nodes and start the
server with OPENAI_API_TYPE=azure, you will have working Azure nodes.
The changes include:
- Moved the `Edge` class to a new `edge` package
- Moved the `Graph` class to a new `graph` package
- Moved the `Node` class to a new `node` package
- Moved the `VectorStoreNode` class to the `node/types.py` module
- Moved the `Edge`, `Graph`, and `Node` classes to their respective `base.py` modules
- Added an `__init__.py` file to each package to allow for importing of classes
- Added a `constants.py` module to the `graph` package to store constants used in the `Graph` class
- Refactored the `Graph` class to use the new `Node` and `Edge` classes
- Refactored the `Graph` class to use a dictionary to map node types to their respective classes
- Refactored the `Graph` class to remove invalid nodes from the graph
- Refactored the `Graph` class to handle the LLM node within the graph
- Refactored the `Graph` class to build the nodes before building the edges
- Refactored the `Graph` class to use the `get_node` method to find nodes by id
- Refactored the `Graph` class to use the `get_node_neighbors` method to find the neighbors of a node
- Refactored the `Graph` class to use the `get_children_by_node_type` method to find the children of a node based on the node type
These changes improve the modularity and maintainability of the `langflow` package by separating the classes into their respective packages and modules. The changes also make it easier to add new node types to the `Graph` class by using a dictionary to map node types to their respective classes.
🚀 feat(node): add Node class to represent a node in the graph
🚀 feat(constants.py): add DIRECT_TYPES constant to represent direct types in a node's template
The Node class represents a node in the graph and is responsible for parsing the data and building the module. The DIRECT_TYPES constant is a list of direct types in a node's template.
🚧 chore(types.py): add import statements for typing and Node classes
This commit adds import statements for the typing module and the Node class to the types.py file. This is necessary for the code to run properly as it uses these classes and modules.
🚧 chore(loading.py): remove unnecessary import statement
This commit removes an unnecessary import statement from the loading.py file. The import statement was causing a circular import error and was not needed for the code to run properly.
🚧 chore(run.py): update import statement for Graph class
This commit updates the import statement for the Graph class in the run.py file. The import statement was outdated and was causing an import error.
🚧 chore(conftest.py): update import statement for Graph class
This commit updates the import statement for the Graph class in the conftest.py file. The import statement was outdated and was causing an import error.
🚧 chore(test_graph.py): update import statements for Node and Edge classes
This commit updates the import statements for the Node and Edge classes in the test_graph.py file. The import statements were outdated and were causing import errors.
🚀 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.
🔥 chore(test_graph.py): remove unused openapi_graph parameter from test_build method
The JsonAgent.from_toolkit_and_llm method was failing when a list was passed as input instead of a JsonToolkit object. The fix now handles both cases. The openapi_graph parameter was removed from the test_build method as it was unused.
🚨 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
