The config.yaml file has been updated to include new prompt templates. In types.py, the input_variables list was not being cleared when prompt or messages were present, which has been fixed. The instantiate_prompt function in loading.py has been updated to support the new prompt templates.
🔀 chore(config): add new prompt templates to config.yaml
🐛 fix(types.py): fix input_variables not being cleared when prompt or messages are present
The variable name static_files_dir was changed to improve semantics. It is now more clear that it is a directory path. An optional static_files_dir parameter was added to the setup_app function to allow for a directory path to be passed in. This allows for more flexibility in serving static files.
🐛 fix(__main__.py): fix static_files_dir variable name to improve semantics
The first change removes an extra blank line in the ChatManager class. The second change updates the try_setting_streaming_options function to use the ChatConfig class to set the streaming option instead of hardcoding it. This makes the code more modular and easier to maintain.
This commit adds a new function `instantiate_llm` to handle LLM (Language Model) instantiation. It also sets the `ChatConfig.streaming` attribute based on the `openai_api_base` parameter. This is a workaround to ensure that JinaChat works until streaming is implemented.
The ChatConfig class is added to the project with a single attribute, streaming, set to True. This attribute is used to determine whether the chatbot should use streaming or request-response communication with the client.
✨ feat(__main__.py, main.py): add support for a custom static files directory to be passed as an argument to the app
The `setup_static_files` function has been moved from `__main__.py` to `main.py` to improve code organization. The function has also been renamed to `setup_app` to better reflect its purpose. The `create_app` function has been renamed to `setup_app` to follow the naming convention of the new function. The `setup_app` function now accepts an optional argument `static_files_dir` which allows the user to specify a custom directory for static files. This improves the flexibility of the app as it can now be run with a custom frontend.
This commit updates the documentation in the constants.py file to include additional API options that can be used instead of the default OpenAI API. The new options are JinaChat, LocalAI, and Prem. This change provides more information to the user and allows them to make an informed decision when choosing an API to use.
The `info` field is added to the `TemplateField` class to provide additional information about the field. The `OPENAI_API_BASE_INFO` constant is added to the `constants.py` file to provide information about the base URL of the OpenAI API and how it can be changed to use other APIs like Prem and LocalAI. The `info` field is set to `OPENAI_API_BASE_INFO` for the `openai_api_base` field in the `LLMFrontendNode` class in `llms.py`.
The ParameterComponent now has an info icon and tooltip to show additional information about the parameter. The GenericNode component now passes the info prop to the ParameterComponent to show the additional information. The ParameterComponentType has been refactored to include the info property.
🎨 style(parameterComponent): add info icon and tooltip to show additional information
🚀 feat(GenericNode): pass info prop to ParameterComponent to show additional information
Added documentation links for various document loaders, embeddings, and llms to improve the readability and usability of the config.yaml file. These links provide a quick reference to the documentation for each of the modules, making it easier for developers to understand and use them.
🔧 refactor(tabsContext.tsx): add missing type annotations and improve code readability
🔧 refactor(ApiModal): improve code readability by adding a new line to a JSX element
🔧 refactor(EditNodeModal): remove unnecessary blank line in a JSX element
The package version has been updated to 0.2.2 to reflect the changes made to the package. This is a chore commit as it does not include any functional changes to the package.
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.
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.
