The `AgentType` enum is added to the `langchain.agents.custom` module to improve readability and type safety. The `InitializeAgent` class now uses the `AgentType` enum to ensure that the `agent` parameter is a valid value from the enum.
🚀 feat(chat.py): use build_input_keys_response function to build input keys response
The build_input_keys_response function was extracted from the remove_api_keys function to improve code reusability. It builds the input keys response object, which contains the input keys and memory keys of a langchain object. The chat.py file now uses this function to build the input keys response object instead of building it manually. This improves code readability and reduces code duplication.
The prepare-commit-msg file is added to the .gitignore file to avoid pushing the Opencommit hook to the remote repository. This is done to prevent the hook from being executed on other machines and to avoid any issues that may arise from the hook being executed on different machines.
The commented out code was removed to improve code readability. Input validation was added to ensure that the template and input variables are valid before creating a PromptTemplate object. This helps to prevent errors that may occur when the object is created with invalid input.
🔒 chore(base.py): remove commented out code and add input validation for PromptTemplate
The stream_build function has been refactored to send input_keys to the client if the langchain_object has the attribute "input_keys". This change improves the user experience by providing the client with the necessary input keys to continue the conversation.
The import of RecursiveCharacterTextSplitter was removed as it was not being used in the code. The instantiation of TextSplitter was fixed by removing the unnecessary check for RecursiveCharacterTextSplitter and simplifying the code.
🔥 refactor(loading.py): remove unused import of RecursiveCharacterTextSplitter
This commit refactors the styling of some components to improve their visual consistency with the rest of the application. Specifically, it removes unnecessary background and text color properties and adjusts classes for spacing and layout. These changes will enhance the user experience and create a more polished look and feel.
The commit changes the comparison operator from '==' to 'is' to compare object types. This is because 'is' compares the object identity while '==' compares the object value. In this case, we want to compare the object identity, so 'is' is the correct operator to use.
The tooltip now includes a link to the documentation of the node, which makes it more accessible and user-friendly. The link is now wrapped in the tooltip title, which improves the semantics of the code.
🔼 chore(pyproject.toml): bump package version to 0.2.1
The langchain dependency has been updated to version 0.0.215, which includes bug fixes and performance improvements. The package version has been bumped to 0.2.1 to reflect the changes made.
The import statement for the MidjourneyIcon was misspelled as MidjorneyIcon, which caused a runtime error. This commit fixes the typo by changing the import statement to MidjourneyIcon.
The import of Boxes and LayoutDashboard were removed as they were not being used in the file. New icons were added to nodeIconsLucide to improve the variety of icons available for use. The new icons added are MongoDBAtlasVectorSearch, Pinecone, and SupabaseVectorStore.
🔥 chore(utils.ts): remove unused import of Boxes and LayoutDashboard
🐛 fix(loading.py): fix type hinting in instantiate_embedding function
🔨 refactor(loading.py): add type hinting to instantiate_textsplitter function
The changes in this commit add type hinting to the `instantiate_agent`, `instantiate_embedding`, and `instantiate_textsplitter` functions to improve code readability and maintainability. The `instantiate_embedding` function had a bug in its type hinting which has been fixed.
Added documentation links to the vectorstores integrations in the config.yaml file. This will make it easier for developers to access the documentation for each integration.
The RecursiveCharacterTextSplitter class in textsplitters.py now has a new field called separator_type. This field is used to specify the type of separator to be used in the splitter. The separator_type field is a string and can take any value from the Language enum or "Text". This change was made to improve the flexibility of the RecursiveCharacterTextSplitter class.
This commit adds type hints to the function parameters and return types in the loading.py file. This improves the readability and maintainability of the codebase by making it easier to understand the expected types of the parameters and return values of the functions.
Added documentation links for new integrations and memories to improve the documentation of the project. The new integrations are Cohere and HuggingFaceHub, and the new memories are ConversationBufferWindowMemory and VectorStoreRetrieverMemory.
The VectorStoreFrontendNode class now has VectorStoreRetriever as an extra base class in addition to BaseRetriever. This change was made to improve the functionality of the class by allowing it to inherit from VectorStoreRetriever.
The `update_settings` function now accepts a `cache` parameter that allows the user to specify the type of cache to use. The `cache` parameter is set to a default value of `SQLiteCache` and can be overridden by setting the `LANGCHAIN_CACHE` environment variable. This feature improves the flexibility of the application as it allows the user to choose the type of cache that best suits their needs.
The cache configuration option has been added to the settings file with a default value of "InMemoryCache". This allows the user to choose the cache implementation they want to use.
This commit adds support for configurable LLM caching. The `setup_llm_caching` function now imports the cache class from the `langchain.cache` module based on the `settings.cache` value. If the import is successful, the `langchain.llm_cache` is set to an instance of the cache class. If the import fails, a warning is logged. If an exception is raised during the setup, a warning is logged with the error message.
✨ feat(main.py): call setup_llm_caching function on app startup
The `setup_llm_caching` function is added to `utils.py` to set up LLM
caching. The function is then called on app startup in `main.py` using
the `app.on_event("startup")` method. This improves the performance of
the application by caching LLM objects.
This commit adds documentation links for the LlamaCpp and CTransformers integrations in the config.yaml file. The links point to the relevant documentation pages on the LangChain website. This improves the accessibility of the documentation for these integrations.
✨ feat(main.py): call setup_llm_caching function on app startup
The `setup_llm_caching` function is added to `utils.py` to set up LLM caching. The function is then called on app startup in `main.py` using the `app.on_event("startup")` method. This improves the performance of the application by caching LLM objects.
The test_few_shot_prompt_template function is not being used and is not necessary for the tests. Removing it will make the code cleaner and easier to maintain.
The default values of the settings attributes were changed from an empty list to an empty dictionary. This change was made to avoid errors that could occur when trying to access a non-existent key in the dictionary.
The documentation link was previously always rendered, even if the href was empty. This caused an issue where the link would be clickable but lead to nowhere. The fix adds a conditional rendering to the link, so it is only rendered if the href is not empty.
The code has been refactored to improve readability by adding whitespace and consistent formatting. The function names have been updated to use camelCase for consistency. The updateDisplay_name function has been updated to use a logical OR operator instead of a ternary operator for better readability. The updateNodeDocumentation function has been added to update the node documentation. The updateNodeBaseClasses, updateNodeEdges, updateNodeDescription, and updateNodeTemplate functions have been updated to use consistent parameter names and whitespace.
🚀 feat(api/index.ts): add documentation field to APIClassType
The unused imports were removed to improve code readability. A documentation link was added to the node toolbar to allow users to easily access the documentation for the node. The documentation field was added to the APIClassType to allow for the storage of a link to the documentation for the API class.
✨ feat(frontend_node): add documentation field to the frontend node dict representation
The `set_documentation` method is added to the `FrontendNode` class to allow setting the documentation of the frontend node. The `to_dict` method is updated to include the `documentation` field in the dict representation of the frontend node. This improves the readability and usability of the frontend node by providing documentation for the node.
This commit adds a new property to the LangChainTypeCreator class called docs_map, which is a dictionary that maps the name of the component to its documentation link. The docs_map property is used to set the documentation of the component in the signature of the component. This change improves the readability and maintainability of the code by making it easier to add and update documentation for components.
