- Added support for the CustomComponent tool in the Langflow API.
- The tool has been added to the config.yaml file.
- The CustomComponentNode class has been implemented in the frontend nodes.
- The code changes include modifications in various files for the implementation of the CustomComponent tool.
- The code changes include the addition of a new field "code" in the TemplateField class.
- The build_langchain_template_custom_component function has been implemented to build the template for the CustomComponent tool.
- New custom fields "my_id", "year", and "other_field" have been added to the template for the CustomComponent tool.
There is a recurring intermittent bug, where Chains fail to validate, with an error "Required module ____ for module ____ not found". This happens frequently for all LLMs that inherit from the LLM class (example Cohere's wrapper).
This is caused by this chunk of code.
This also explains why the bug is intermittent and not every time.
"in" is matching LLM from source_types with BaseLLM from target_reqs. Also, this doesn't need to be a nested loop, it can be done with one loop.
I'm a user of LangFlow, and a first time contributor. Thanks!
🐛 fix(chatComponent): remove console.log statements for 'open' and 'isBuilt' variables to clean up code
🐛 fix(formModal): remove unnecessary console.log statement for 'tabsState[id.current]' variable to clean up code
🐛 fix(PageComponent): set isPending to true for each tab in the Page component state to fix a bug
The `instantiate_textsplitter` function has been refactored to improve readability and remove unnecessary code. The condition for creating the `text_splitter` object has been simplified and the `separator_type` parameter is now removed from the `params` dictionary if it exists. Additionally, the `language` parameter is now passed as an instance of the `Language` class from the `langchain.text_splitter` module. This change ensures that the `text_splitter` object is created correctly and the `split_documents` method is called with the appropriate parameters.
The options list for the separator_type field in the TextSplittersFrontendNode class has been extracted into a variable called options. This improves code readability and allows for easier modification and sorting of the options list.
The documentation link for ConversationBufferMemory in the memories section has been updated to point to the correct URL "https://python.langchain.com/docs/modules/memory/how_to/buffer". This change ensures that users can access the correct documentation for using ConversationBufferMemory.
💡 chore(loading.py): improve code readability and maintainability by simplifying the instantiation of the prompt object and assignment of format_kwargs dictionary.
The code has been refactored to use a dictionary comprehension to create the format_kwargs dictionary. This simplifies the logic and improves code readability. The commented out code for the prompt.partial() method has been removed as it is no longer necessary.
🔥 chore(promptModal): remove unused promptModal component
🔨 refactor(promptComponent): use useEffect to make a POST request to validate the prompt value and update the nodeClass state if the API returns data
✨ feat(utils.py): add support for setting input keys values from artifacts in build_input_keys_response function
The build_input_keys_response function now takes an additional parameter, artifacts, which is a dictionary containing key-value pairs. The function sets the values of the input keys in the input_keys_response dictionary based on the corresponding keys in the artifacts dictionary. This allows for more flexibility in setting the input keys values dynamically based on the provided artifacts.
✨ feat(chat.py): update build_input_keys_response function to accept artifacts parameter to set input_keys values
The stream_build function now supports the artifacts parameter, which allows passing prompt variables to the build_input_keys_response function. This ensures that the input_keys values are correctly set based on the provided artifacts. The build_input_keys_response function has been updated to accept the artifacts parameter and use it to set the input_keys values. This improves the functionality of the chat module by allowing more flexibility in handling prompt variables.
🐛 fix(vertex/base.py): update instantiation logic to handle tuple result from loading.instantiate_class()
🐛 fix(loading.py): update return value of instantiate_prompt() to return a tuple of prompt and format_kwargs
The Vertex class now has a new attribute called artifacts, which is a dictionary used to store additional data related to the vertex. The instantiation logic in the Vertex class has been updated to handle the case where loading.instantiate_class() returns a tuple containing the built object and additional artifacts. The loading.instantiate_prompt() function now returns a tuple containing the prompt and format_kwargs. These changes fix issues related to storing and handling additional data in the vertex and loading modules.
The build_input_keys_response function now correctly filters out memory variables from the input keys response. Previously, it was using a list comprehension to filter the keys, but it should have been using a dictionary comprehension to preserve the key-value pairs. This fix ensures that only the keys that are not present in the langchain_object's memory variables are included in the input keys response.
The chat history is now reset when building a flow to ensure that the chat starts with a clean state. This helps prevent any potential issues or conflicts that may arise from previous chat interactions.
🐛 fix(loading.py): set input variable values if they are present in params
The "input_variables" field in the prompt's frontend_node template is now updated with the new list of variables, if it exists. This ensures that the input variables are correctly set when validating the prompt. In the loading module, the input variable values are now set if they are present in the params dictionary. This ensures that the prompt is correctly instantiated with the provided input variable values.
🐛 fix(formModal/index.tsx): format chatItem.message only if it is not from a bot to improve readability
🐛 fix(formModal/index.tsx): remove unnecessary console.log statement
✨ feat(ApiModal/index.tsx): add functionality to filter nodes and display only nodes with certain types in the tweaks list
🐛 fix(ApiModal/index.tsx): fix issue with the tweaks list not updating when the flow changes
🐛 fix(ApiModal/index.tsx): fix issue with the tweaks list not updating when the flow changes
🐛 fix(ApiModal/index.tsx): fix issue with the tweaks list not updating when the flow changes
🐛 fix(ApiModal/index.tsx): fix issue with the tweaks list not updating when the flow changes
🐛 fix(ApiModal/index.tsx): fix issue with the tweaks list not updating when the flow changes
🐛 fix(ApiModal/index.tsx): fix issue with the tweaks list not updating when the flow changes
🐛 fix(ApiModal/index.tsx): fix issue with the tweaks list not updating when the flow changes
🐛 fix(ApiModal/index.tsx): fix issue with the tweaks list not updating when the flow changes
🐛 fix(ApiModal/index.tsx): fix issue with the tweaks list not updating when the flow changes
🐛 fix(ApiModal/index.tsx): fix issue with the tweaks list not updating when the flow changes
🐛 fix(ApiModal/index.tsx): fix issue with the tweaks list not updating when the flow changes
🐛 fix(ApiModal/index.tsx): fix issue with the tweaks list not updating when the flow changes
🐛 fix(ApiModal/index.tsx): fix issue with the tweaks list not updating when the flow changes
🐛 fix(ApiModal/index.tsx): fix issue with the tweaks list not updating when the flow changes
🐛 fix(ApiModal/index.tsx): fix issue with the tweaks list not updating when the flow changes
🐛 fix(ApiModal/index.tsx): fix issue with the tweaks list not updating when the flow changes
🐛 fix(ApiModal/index.tsx): fix issue with the tweaks list not updating when the flow changes
🐛 fix(ApiModal/index.tsx): fix issue with the tweaks list not updating when the flow changes
🐛 fix(ApiModal/index.tsx): fix issue with the tweaks list not updating when the flow changes
🐛 fix(ApiModal/index.tsx): fix issue with the tweaks list not updating when the flow changes
🐛 fix(ApiModal/index.tsx): fix issue with the tweaks list not updating when the flow changes
🐛 fix(ApiModal/index.tsx): fix issue with the tweaks list not updating when the flow changes
🐛 fix(ApiModal/index.tsx): fix issue with the tweaks list not updating when the flow changes
🐛 fix(ApiModal/index.tsx): fix issue with the tweaks list not updating when the flow changes
🐛 fix(ApiModal/index.tsx): fix issue with the tweaks list not updating when the flow changes
🐛 fix(ApiModal/index.tsx): fix issue with the tweaks list not updating when the flow changes
🐛 fix(ApiModal/index.tsx): fix issue with the tweaks list not updating when the flow changes
🐛 fix(ApiModal/index.tsx): fix issue with the tweaks list not updating when the flow changes
🐛 fix(ApiModal/index.tsx): fix issue with the tweaks list not updating when the flow changes
🐛 fix(ApiModal/index.tsx): fix issue with the tweaks list not updating when the flow changes
🐛 fix(ApiModal/index.tsx): fix issue with the tweaks list not updating when the flow changes
🐛 fix(ApiModal/index.tsx): fix issue with the tweaks list not updating when the flow changes
🐛 fix(ApiModal/index.tsx): fix issue with the
- Updated hover and transition effects for several components
- Removed unnecessary CSS classes and styles
- Adjusted colors and text styles for better visual consistency
- Refactored crash error component to update the background color of the reset button.
- Removed commented code in the header component.
- Imported BUTTON_DIV_STYLE constant in the main page component.
🐛 fix(utils.py): rename variable in process_graph function to improve clarity and consistency
In the `ChatManager` class, the variable `chat_message` has been renamed to `chat_inputs` to better reflect its purpose of storing the input messages from the chat payload. This improves clarity and consistency within the class.
In the `process_graph` function in `utils.py`, the variable `chat_message` has been renamed to `chat_inputs` to better reflect its purpose of storing the input messages from the chat payload. This improves clarity and consistency within the function.
🔨 refactor(chatComponent): update code to correctly access template value from node data
🔨 refactor(chatInput): update button styling and positioning
🔨 refactor(chatInput): update Lock icon styling and positioning
🔨 refactor(chatInput): update Send icon styling and positioning
🔨 refactor(formModal): update setKeysValue function to correctly update the value at a specific index in the array
The build_input_keys_response function has been refactored to return an empty string for each input key in the langchain_object. This change ensures consistency in the response structure and provides a default value for each input key.
🐛 fix(codeAreaModal): fix closePopUp function call placement to ensure proper functionality
🐛 fix(genericModal): set closeEdit value to "generic" to fix issue with closing the modal
✨ feat(AccordionComponent/index.tsx): add support for opening and closing accordion items on click
🔧 fix(popUpContext.tsx): add missing semicolon and fix formatting
✨ feat(popUpContext.tsx): add closeEdit state and setCloseEdit function to manage closing edit pop-up
🐛 fix(ApiModal/index.tsx): add missing dependencies to useEffect to prevent stale data
✨ feat(ApiModal/index.tsx): add support for opening and closing accordion when there are tweaks present
🔧 chore(ApiModal/index.tsx): refactor getValue function to improve readability and maintainability
🔧 chore(ApiModal/index.tsx): refactor buildContent function to improve readability and maintainability
🔧 chore(ApiModal/index.tsx): refactor buildTweakObject function to improve readability and maintainability
🔧 chore(ApiModal/index.tsx): refactor onChange functions to improve readability and maintainability
🔧 chore(ApiModal/index.tsx): refactor value props to improve readability and maintainability
🔧 fix(codeAreaModal): add setCloseEdit function to PopUpContext to handle closing editcode
🔧 fix(promptModal): add setCloseEdit function to PopUpContext to handle closing prompt
🔧 fix(textAreaModal): add setCloseEdit function to PopUpContext to handle closing textarea
🔧 fix(components): change value prop to open prop in AccordionComponentType for better semantics
The input_types attribute is added to the template_field in the post_validate_prompt function. This change allows for specifying the input types that are accepted for the template field, providing more flexibility and control over the input data.
🔧 fix(index.ts): add input_types property to TemplateVariableType interface
The `input_types` property is added to the `TemplateFieldCreator` class in `base.py` and the `TemplateVariableType` interface in `index.ts`. This change allows for specifying the input types for template fields and template variables, respectively.
