The DESCRIPTIONS array has been updated with additional phrases to provide a wider range of options for generating text. The ADJECTIVES array has been expanded with more descriptive words to add more color and personality to the generated text. The NOUNS array has been enriched with new names to increase the diversity of possible flow names. These updates aim to enhance the quality and creativity of the generated text by providing a greater variety of options.
The condition to check for the presence of "handle_keys" has been fixed to correctly check for its existence in the format_kwargs dictionary instead of the params dictionary. This ensures that the "handle_keys" list is properly populated when necessary.
The code was missing a condition to check if the variable is an instance of BaseOutputParser and has the "get_format_instructions" attribute. This condition is necessary to properly handle the variable and avoid potential errors.
The ChatVertexAI integration is temporarily commented out due to a bug that causes an AttributeError. This bug needs to be resolved before the integration can be activated again.
🔀 chore(custom_lists.py): add ChatVertexAI to the import statements for better modularity and extensibility
🔀 chore(custom_lists.py): add ChatVertexAI to the llm_type_to_cls_dict for better compatibility and flexibility
🔀 chore(llms.py): change required field for credentials to be optional for better user experience
🔀 chore(llms.py): add advanced and show fields for specific fields related to VertexAI for better configurability
The import statements in `custom_lists.py` have been reformatted to improve readability and maintainability. The `ChatVertexAI` class has been added to the import statements to enhance modularity and extensibility.
The `ChatVertexAI` class has been added to the `llm_type_to_cls_dict` dictionary in `custom_lists.py` to improve compatibility and flexibility.
In `llms.py`, the `required` field for the `credentials` field has been changed to be optional for a better user experience.
The `advanced` and `show` fields have been added to specific fields related to VertexAI in `llms.py` to provide better configurability.
🔧 fix(tabsContext): add optional fileName parameter to downloadFlow function to allow customizing the downloaded file name
🔧 fix(exportModal): add optional fileName parameter to downloadFlow function calls to allow customizing the downloaded file name
🔧 fix(tabsContext): update downloadFlow function signature to include optional fileName parameter
The logic to find the matched_type in the Edge class has been simplified by removing unnecessary nested loops and using a single generator expression. This improves the readability and efficiency of the code.
🔧 chore(loading.py): call initialize_vertexai function when node_type is "VertexAI"
The `llm.py` file now includes a new function `initialize_vertexai` that initializes the VertexAI credentials if a `credentials` parameter is provided. This allows for the usage of VertexAI credentials in the application. In `loading.py`, the `initialize_vertexai` function is called when the `node_type` is "VertexAI", ensuring that the VertexAI credentials are properly initialized for that specific node type.
The condition for showing fields in the VertexAI class has been simplified to exclude specific field names. This improves readability and maintainability of the code.
⬆️ feat(pyproject.toml): add google-cloud-aiplatform dependency to enable integration with Google Cloud AI Platform
The python dependency version has been updated to >=3.9,<3.11 to ensure compatibility with the project. Additionally, the google-cloud-aiplatform dependency has been added to enable integration with Google Cloud AI Platform services.
📝 chore(llms.py): improve field configuration for VertexAI template and modify field type for "credentials"
The `add_extra_fields` method is modified to add an additional field called "credentials" for the VertexAI template. The field is of type "file" and is required. It allows the user to upload a JSON file as credentials. The `format_openai_field` method is also updated to handle the new "credentials" field.
The display_name field is added to the TemplateField object in the post_validate_prompt function. This field allows for a more user-friendly display of the variable name in the UI.
✨ feat(formModal/index.tsx): add support for dropdown menu component and button component
🔧 chore(formModal/index.tsx): fix indentation and spacing issues for better code formatting
🐛 fix(formModal/index.tsx): fix type error and handle input value changes correctly
🔧 chore(formModal/index.tsx): fix indentation and spacing issues for better code formatting
✨ feat(formModal/index.tsx): add support for textarea component and handle input value changes correctly
🔧 chore(formModal/index.tsx): fix indentation and spacing issues for better code formatting
✨ feat(formModal/index.tsx): add support for toggle component and handle input value changes correctly
🔧 chore(formModal/index.tsx): fix indentation and spacing issues for better code formatting
✨ feat(formModal/index.tsx): add support for dropdown menu component and button component
🔧 chore(formModal/index.tsx): fix indentation and spacing issues for better code formatting
✨ feat(formModal/index.tsx): add support for textarea component and handle input value changes correctly
🔧 chore(formModal/index.tsx): fix indentation and spacing issues for better code formatting
✨ feat(formModal/index.tsx): add support for toggle component and handle input value changes correctly
🔧 chore(formModal/index.tsx): fix indentation and spacing issues for better code formatting
✨ feat(formModal/index.tsx): add support for dropdown menu component and button component
🔧 chore(formModal/index.tsx): fix indentation and spacing issues for better code formatting
✨ feat(formModal/index.tsx): add support for textarea component and handle input value changes correctly
🔧 chore(formModal/index.tsx): fix indentation and spacing issues for better code formatting
✨ feat(formModal/index.tsx): add support for toggle component and handle input value changes correctly
🔧 chore(formModal/index.tsx): fix indentation and spacing issues for better code formatting
✨ feat(formModal/index.tsx): add support for dropdown menu component and button component
🔧 chore(formModal/index.tsx): fix indentation and spacing issues for better code formatting
✨ feat(formModal/index.tsx): add support for textarea component and handle input value changes correctly
🔧 chore(formModal/index.tsx): fix indentation and spacing issues for better code
🐛 fix(formModal/index.tsx): fix initial value of chatKey to correctly retrieve key from tabsState
🐛 fix(formModal/index.tsx): fix handleOnCheckedChange to correctly set chatKey and chatValue
🐛 fix(formModal/index.tsx): fix onChange of Textarea to correctly update tabsState input_keys
✨ feat(formModal/index.tsx): add support for clearing input value when form is submitted
✨ feat(formModal/index.tsx): add support for clearing input value when form is closed
🐛 fix(process.py): handle missing inputs in process_graph_cached function
The function `build_langchain_object_with_caching` has been renamed to `build_sorted_vertices_with_caching` to provide a more descriptive name that accurately reflects its purpose. Additionally, the `process_graph_cached` function now handles cases where the `inputs` parameter is missing or empty by populating it with values from the `artifacts` dictionary. This ensures that all required inputs are properly set before running the graph.
Both caching mechanisms improve the performance of building the langchain object and sorted vertices, reducing redundant computations and improving overall efficiency.
The `build_langchain_object_with_caching` function now uses the `memoize_dict` decorator to cache the result of building the langchain object from the data graph. This improves performance by avoiding redundant computations when the same data graph is used multiple times.
The `stream_build` function now logs the exception that occurred during the flow building process using the `logger.exception` method. This improves error handling and provides more detailed information about the error in the logs.
The Edge class constructor now takes an additional parameter 'edge' which is a dictionary containing additional information about the edge. This information is used to set the source_handle, target_handle, and target_param attributes of the Edge class. This change allows for more flexibility and extensibility when working with edges in the graph.
🔧 refactor(base.py): add edge parameter to Edge class constructor to pass additional edge information
The unused imports have been removed to improve code cleanliness. The code in the _build_params method has been simplified by removing unnecessary conditions and loops. Default values are now added for string and prompt type parameters to ensure that they have a value even if not explicitly set.
🔧 fix(base.py): remove unused imports and simplify code in _build_params method
🐛 fix(chatComponent): import lodash library to use _.cloneDeep function
✨ feat(chatComponent): add TabsContext to access tabsState and update isBuilt state based on tabsState changes
🐛 fix(interface/initialize/loading.py): handle BaseOutputParser instances in instantiate_prompt
The `optional_inputs` list in the `Vertex` class is now extended with the `input_types` from the `template_dicts` dictionary. This ensures that the `optional_inputs` list contains all the input types that are not required. In the `instantiate_prompt` function, if the `variable` is an instance of `BaseOutputParser` and has a `get_format_instructions` method, the `format_kwargs` dictionary is updated with the result of calling `get_format_instructions()`. This allows handling `BaseOutputParser` instances correctly in the `instantiate_prompt` function.
This pull request introduces significant style changes to the website,
focusing on CSS color modifications and the implementation of a dark
mode feature. These updates enhance the overall visual appeal and
improve user experience in different lighting environments. Below is a
detailed overview of the changes made.
Updated Color Palette: The existing color scheme has been revamped to
create a more visually appealing and cohesive design. This involved
modifying the colors used throughout the website, including background
colors, text colors, and accent colors.
Dark Mode Implementation: A new feature, dark mode, has been added to
provide users with an alternative interface that is easier on the eyes
in low-light environments. The dark mode utilizes a new set of colors
specifically designed for this mode, ensuring optimal readability and
aesthetic appeal.
CSS Classes and Selectors: New CSS classes and selectors have been
introduced to facilitate the implementation of the color changes and
dark mode feature. These classes are applied to specific elements within
the HTML structure, allowing for precise control over the appearance of
different components.
This commit adds support for Custom Component in the Langflow interface. It introduces a new class `CustomComponent`, which takes in a `code` as a parameter and validates it. The `CustomComponent` class also provides a method to get the function specified in the code.
The commit also makes some modifications in `initialize/loading.py` file to handle the new `CustomComponent` class. It adds a new helper function `get_function_custom` which creates a function using `validate.create_function` and the `build` function name.
