* refactor: convert teardown_services function to async
The `teardown_services` function in `utils.py` has been converted to an asynchronous function to ensure proper handling of asynchronous operations during service teardown. This change improves the overall reliability and performance of the codebase.
* refactor: convert teardown method to async
Convert the `teardown` method in the `Service` class to an asynchronous function to handle asynchronous operations during service teardown. This change improves the reliability and performance of the codebase.
* refactor: convert teardown methods to async in services
* feat: add teardown method in TelemetryService
Convert the `teardown` method in the `TelemetryService` class to an asynchronous function to handle asynchronous operations during service teardown. This change improves the reliability and performance of the codebase.
* refactor: update TelemetryService to use optimized payload in get request
The `TelemetryService` class in `service.py` has been updated to use an optimized payload dictionary in the `get` request. This change improves the efficiency and performance of the codebase.
* refactor: convert teardown method to async in utils.py
* feat(RunFlow.py): update input and output definitions for RunFlowComponent
* refactor: update params assignment in custom_component_update endpoint
Simplify the params assignment in the custom_component_update endpoint by using a dictionary comprehension. This improves code readability and reduces the number of lines.
* feat(custom_component.py, flow.py): add support for specifying output type in run_flow method to filter outputs based on type
* style: handle whitespaces around colons
* refactor: split a func into two
* refactor: update code to use newly created funcs
* refactor: merge code of one func into another
* refactor: rename func
* refactor: extract code segment to parent func
* refactor: extract code segment to parent func
* refactor: rename func
* refactor: rename object
* refactor: extract code segment into a new func
* feat: add condition to determine how the vertex is built
* fix: modify component initialization call
* feat: add Table component and related functionality
This commit adds the Table component and related functionality to the codebase. The Table component is used to display tabular data and includes features such as pagination, row deletion, row duplication, and adding new rows. The TableOptions component is also added to provide options for resetting the grid and adding new rows. Additionally, the necessary types and interfaces are updated to support the Table component. This feature enhances the user experience by allowing them to interact with tabular data in a more intuitive way.
* feat: add Edit Data trigger to TableNodeComponent
* [autofix.ci] apply automated fixes
* feat: add TableSchema class for defining table structure
* feat: add TableMixin class for table-related functionality
* feat: add TableInput class for table-related functionality
* feat: add TableInput to io module
* feat: update Column model in table schema
This commit updates the `Column` model in the table schema to include the `display_name` and `name` fields instead of `header` and `field`. It also adds validation for the `formatter` field to accept either a `FormatterType` enum value or a string. This change improves the clarity and flexibility of the table schema.
* feat: add displayEmptyAlert prop to TableComponent
This commit adds the `displayEmptyAlert` prop to the `TableComponent` in order to control whether an alert is displayed when the table has no data. By default, the alert will be shown, but it can be disabled by setting `displayEmptyAlert` to `false`. This feature enhances the flexibility of the table component by allowing users to customize the behavior when there are no rows in the table.
* This commit improves the TableAutoCellRender component by adding support for a custom formatter. The formatter can be specified as a prop and allows for rendering the cell value in different formats, such as JSON. This enhancement enhances the flexibility and customization options of the TableAutoCellRender component.
* feat: add FormatColumns function to utils.ts
This commit adds the `FormatColumns` function to `utils.ts` file. The function takes an array of `ColumnField` objects and returns an array of `ColDef` objects. It maps each `ColumnField` to a `ColDef` with properties like `headerName`, `field`, `sortable`, and `filter`. If a `ColumnField` has a `formatter` property, it sets the `cellDataType` or `cellRendererParams` accordingly. This function enhances the flexibility and customization options for formatting columns in the table.
* feat: enhance TableNodeComponent with FormatColumns function
This commit enhances the TableNodeComponent by utilizing the FormatColumns function from utils.ts. The FormatColumns function takes an array of ColumnField objects and returns an array of ColDef objects, allowing for flexible and customizable column formatting in the table. By integrating this function, the TableNodeComponent now has improved column handling capabilities.
* chore: Update TableNodeComponent and TableComponent
This commit updates the TableNodeComponent and TableComponent to improve column handling and customization options. The TableNodeComponent now utilizes the FormatColumns function from utils.ts, allowing for flexible and customizable column formatting in the table. The TableComponent now has a new prop, displayEmptyAlert, which controls whether an alert is displayed when the table has no data. These enhancements enhance the flexibility and customization options of the table components.
* [autofix.ci] apply automated fixes
* feat: Update TableNodeComponent and TableComponent
This commit updates the TableNodeComponent and TableComponent to improve column handling and customization options. It utilizes the FormatColumns function from utils.ts for flexible and customizable column formatting in the table. The TableComponent now has a new prop, displayEmptyAlert, to control the display of an alert when the table has no data. These enhancements enhance the flexibility and customization options of the table components.
* feat: initialize table field values as DataFrame
* feat: Enhance TableNodeComponent with duplicateRow function
This commit enhances the TableNodeComponent by adding the duplicateRow function. This function allows users to duplicate selected rows in the table. When called, it clones the selected nodes and adds the duplicated rows to the table. This feature enhances the flexibility and customization options of the TableNodeComponent.
* [autofix.ci] apply automated fixes
* feat: Remove "text" from basic_types in FormatColumns function
This commit removes the "text" value from the basic_types set in the FormatColumns function in utils.ts. The basic_types set is used to determine the column type for formatting in the table. By removing "text", we ensure that only "date" and "number" types are considered as basic types. This change improves the accuracy and consistency of column formatting in the table.
* fix: alingment bug on AgGrid cell
* [autofix.ci] apply automated fixes
* [autofix.ci] apply automated fixes
* Styled the Open Table button on TableNodeComponent
* Fixed type of ref on tableComponent
* Creaed a TableModal component, that receives the props that are passed to the Table, as well as a title, and creates a modal
* Used the TableModal on the TableNodeComponent
* Fixed looks of TableModal
* Added description set on tableModal
* Add description field to TableNodeComponent
* Fixed text of description if info is not provided
* Added TableComponent in tableNodeCellRenderer
* Added styling based on editNode
* Added Auto Size to table modal
* refactor: update TableOptions component styling and behavior
- Update TableOptions component to dynamically apply text color based on selection
- Remove unnecessary console.log statement
- Improve hover behavior for the Trash2 icon
* chore: Remove unnecessary imports and initialize empty columns array in TableNodeComponent
* feat: Add default values for sortable and filterable in Column model
The code changes in `table.py` modify the `Column` model in the `langflow.schema` module. The `sortable` and `filterable` attributes of the `Column` model now have default values of `True`. This change ensures that new instances of the `Column` model will have these attributes set to `True` by default.
Based on the recent user commits and repository commits, the commit message follows the established convention of using a prefix to indicate the type of change (`feat` for a new feature) and provides a clear and concise description of the changes made.
* feat(utils.ts): add check for empty columns array in FormatColumns function to prevent errors
* feat: Add validation for TableInput value in inputs.py
The code changes in `inputs.py` add a validation function for the `value` attribute of the `TableInput` class. The function checks if the value is a list of dictionaries and raises a `ValueError` if it is not. This ensures that the `TableInput` instances have a valid value that is a list of dictionaries.
Based on the recent user commits and repository commits, the commit message follows the established convention of using a prefix to indicate the type of change (`feat` for a new feature) and provides a clear and concise description of the changes made.
* [autofix.ci] apply automated fixes
* feat: extend editable field to json field
* [autofix.ci] apply automated fixes
* feat: Add validation for TableInput value in inputs.py
* feat(validate.py): add exception handling to catch and re-raise ValidationError with a more informative error message
* chore: Refactor error message in build_custom_component_template function
* fix(validate.py): improve error message formatting in create_class function
Refactor the error message formatting in the `create_class` function in `validate.py` to improve readability and clarity. Instead of using a list comprehension to extract the error messages, the code now uses a nested list comprehension to split the error messages and extract the relevant information. This change ensures that the error message is properly formatted and provides more informative details about the validation errors.
Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org>
Co-authored-by: Lucas Oliveira <lucas.edu.oli@hotmail.com>
* feat: Update TableMixin to support TableSchema or list of Columns
The TableMixin class in input_mixin.py has been updated to support either a TableSchema object or a list of Columns for the table_schema attribute. This change allows for more flexibility in defining the table schema for input validation.
* feat: Update TableNodeComponent to generate backend columns from value
Refactor the TableNodeComponent to generate backend columns from the value when the columns prop is not provided. This change ensures that the component can handle dynamic column generation based on the value, improving flexibility and usability.
Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org>
Co-authored-by: Lucas Oliveira <lucas.edu.oli@hotmail.com>
* Refactor extractColumnsFromRows function to return only ColDef objects
The extractColumnsFromRows function in utils.ts has been refactored to return only ColDef objects instead of a combination of ColDef and ColGroupDef objects. This change simplifies the function's return type and improves consistency in the codebase.
Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org>
Co-authored-by: Lucas Oliveira <lucas.edu.oli@hotmail.com>
* [autofix.ci] apply automated fixes
* refactor: Generate backend columns from value in TableNodeComponent
Refactor the TableNodeComponent to generate backend columns from the value when the columns prop is not provided. This change ensures that the component can handle dynamic column generation based on the value, improving flexibility and usability.
* feat: Update TableNodeComponent to handle number and date properly
* fix bug that delete all rows on modal close
* [autofix.ci] apply automated fixes
---------
Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org>
Co-authored-by: Lucas Oliveira <lucas.edu.oli@hotmail.com>
* 🐛 (generalBugs-shard-5.spec.ts): fix test to wait for elements to be interactable before performing actions to prevent flakiness
* 🐛 (folders.py): fix issue where all flows were being returned instead of only flows from the current user in the specified folder
* 📝 (flows.py): Add endpoint to download multiple flows as a zip file
📝 (constants.ts): Add FLOWS constant for API endpoint
📝 (index.ts): Add use-post-download-multiple-flows query function
📝 (use-post-download-multiple-flows.ts): Implement function to download multiple flows as a zip file
📝 (index.tsx): Import usePostDownloadMultipleFlows in componentsComponent
📝 (index.tsx): Implement handleExport function to download multiple flows as a zip file
📝 (index.tsx): Update handleExport function to handle downloading and saving the zip file
📝 (headerComponent.tsx): Add shouldSelectAll state and setShouldSelectAll function to manage select all functionality
* formatting file
* 📝 (flows.py): Remove download_file endpoint and refactor download_multiple_file to support downloading multiple flows as a zip file
📝 (index.tsx): Refactor export functionality to handle exporting multiple flows as a zip file or a single flow as a JSON file
🔧 (use-post-download-multiple-flows.ts): Update API endpoint for downloading flows
🔧 (index.tsx): Remove unused imports and functions related to exporting flows
🔧 (reactflowUtils.ts): Remove unused downloadFlows function and related imports
* [autofix.ci] apply automated fixes
* 📝 (flows.py): remove unnecessary whitespace and improve code readability by aligning function parameters in download_multiple_file function
---------
Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
* 🔧 (.github/workflows/typescript_test.yml): add BRAVE_SEARCH_API_KEY secret to workflow environment variables
✨ (frontend/src/modals/IOModal/components/chatView/chatMessage/index.tsx): add data-testid attribute to div element for testing purposes
✨ (frontend/tests/end-to-end/Hierarchical Tasks Agent.spec.ts): add end-to-end test for Hierarchical Tasks Agent
✨ (frontend/tests/end-to-end/Sequential Tasks Agent.spec.ts): add end-to-end test for Sequential Tasks Agent
* updating hierarchical task json
* 🔧 (.github/workflows/typescript_test.yml): add secrets for ASTRA_DB_APPLICATION_TOKEN and ASTRA_DB_API_ENDPOINT
♻️ (playwright.config.ts): refactor timeout value to 3 minutes
📝 (Complex Agent.spec.ts): update test to use BRAVE_SEARCH_API_KEY instead of OPENAI_API_KEY
📝 (Complex Agent.spec.ts): update test to use "apple" instead of "agile"
📝 (Hierarchical Tasks Agent.spec.ts): update test to use "langflow" instead of "agile"
📝 (Sequential Tasks Agent.spec.ts): update test to use waitForTimeout instead of isVisible
✨ (Vector Store.spec.ts): Add checks to skip tests if required environment variables are not set
🔧 (Vector Store.spec.ts): Update test logic to fill in required environment variables before running tests to ensure proper test execution
* refactor: move test_graph.py
* refactor: allow Graph to be initialized with no nodes and edges
The Graph class in `base.py` was refactored to separate the initialization of nodes and edges into a separate method called `add_nodes_and_edges()`. This improves code readability and maintainability by organizing the code logic more effectively.
* refactor: separate initialization of nodes and edges in get_graph()
The `get_graph()` function in `conftest.py` was refactored to separate the initialization of nodes and edges. This improves code readability and maintainability by organizing the code logic more effectively.
* refactor: separate initialization of nodes and edges in test_graph.py
* refactor: separate initialization of nodes and edges in base.py
The `add_node()` and `add_edge()` methods were added to the `Graph` class in `base.py` to separate the initialization of nodes and edges. This improves code readability and maintainability by organizing the code logic more effectively.
* refactor: update import statements in create_assistant.py
Refactor the import statements in the create_assistant.py file to improve readability and maintainability. Update the import order and add type hints for better code organization. This change ensures consistency with the recent repository commits and follows established conventions.
* refactor: update import statements in create_thread.py
Refactor the import statements in the create_thread.py file to improve readability and maintainability. Update the import order and add type hints for better code organization. This change ensures consistency with the recent repository commits and follows established conventions.
* refactor: improve dotenv component
Refactor the dotenv component to improve code organization and error handling. Update the import statements and add type hints for better readability and maintainability. This change ensures consistency with recent repository commits and follows established conventions.
* refactor: update import statements in get_assistant.py
Refactor the import statements in the get_assistant.py file to improve readability and maintainability. Update the import order and add type hints for better code organization. This change ensures consistency with the recent repository commits and follows established conventions.
* refactor: update import statements in list_assistants.py
Refactor the import statements in the list_assistants.py file to improve readability and maintainability. Update the import order and add type hints for better code organization. This change ensures consistency with the recent repository commits and follows established conventions.
* refactor: update import statements in run.py
Refactor the import statements in the run.py file to improve readability and maintainability. Update the import order and add type hints for better code organization. This change ensures consistency with the recent repository commits and follows established conventions.
chore: update dependencies in poetry.lock and pyproject.toml
Update the versions of various dependencies in the poetry.lock and pyproject.toml files to their latest versions. This ensures compatibility and incorporates bug fixes and improvements provided by the updated dependencies.
refactor: fix logical operator in Graph class
Fixes a logical operator in the Graph class that was causing incorrect filtering of vertices based on input components. The operator was changed from "or" to "and" to ensure that both conditions are met before skipping the vertex. This resolves an issue where certain vertices were being skipped incorrectly.
Co-authored-by: Cristhian Zanforlin Lousa <72977554+Cristhianzl@users.noreply.github.com>
* fix: disable error code "type-var" in mypy configuration
* refactor(VertexAiModel.py): restructure the return statement to improve readability and maintainability by using type casting for LanguageModel
* fix: remove unnecessary code related to vertex parent_node_id in Graph class
* fix: update node["frozen"] assignment to node["data"]["node"]["frozen"] in add_frozen function
* ✨ (flows.py): Add support for uploading flows to a specific folder by adding a folder_id parameter to the upload_file function and updating the flow object with the folder_id if provided
📝 (use-on-file-drop.tsx): Update import statements to include the new uploadFlowToFolder function and replace the usage of uploadFlowsFromFolders with uploadFlowToFolder
🔧 (use-drag-and-drop.tsx): Refactor the useDragAndDrop hook to remove unnecessary code related to file handling
⬆️ (index.ts): Add a new function uploadFlowToFolder to handle uploading flows to a specific folder in the MainPage services module
* ♻️ (flows.py): remove trailing whitespace to maintain code cleanliness and consistency
fixed the bug where pinecone component inserts embeddings 3 times
When we send the chunks with the embedding component to the Pinecone component, the generated embeddings are being saved three times instead of once.
* refactor: add LogFunctionType protocol for type hint
The LogFunctionType protocol is introduced to define the structure of a logging function that takes a message and an optional name parameter. This protocol will be used to ensure consistency and compatibility with other parts of the codebase when logging messages.
* refactor(callback.py): simplify import statements and type annotations for better readability
* feat: refactor upload_file function to handle optional tweaks parameter
Refactor the upload_file function in utils.py to handle the optional tweaks parameter. If the tweaks parameter is not provided, it is set to an empty dictionary. This change improves the flexibility and usability of the function.
* fix(get-python-api-code): set the endpoint in the correct variable
* refactor: move tests folder to src/backend
* chore(Makefile): update pytest commands to run tests from the correct directory paths for unit and integration tests
* refactor: update file path in test_custom_component.py
The file path in the test_custom_component.py file has been updated to use the correct relative path to the component_multiple_outputs.py file. This change ensures that the test code can access the correct file and improves the reliability of the test.
* refactor: import nanoid only after setting up langwatch
* fix: update nanoid to version 2.0.0
* chore: Update langflow-base dependency to version 0.0.86
* fix: add check before setting up LangSmithTracer
Refactor the LangSmithTracer class in langsmith.py to improve error handling during initialization. The setup_langsmith method now checks for the presence of the LANGCHAIN_API_KEY environment variable before proceeding with the setup. This ensures that the tracer is only initialized when the necessary API key is available. Additionally, the order of operations within the __init__ method has been adjusted to ensure that the setup_langsmith method is called after the necessary attributes are assigned. These changes enhance the reliability and robustness of the LangSmithTracer.
* fix(langsmith.py): add conditional check to prevent executing code if tracer is not ready
---------
Co-authored-by: Lucas Oliveira <62335616+lucaseduoli@users.noreply.github.com>
* feat(agent.py): add support for handling message responses in LCAgentComponent to improve agent functionality and interaction with messages
* feat: add ToolEnabledLanguageModel type alias to constants.py
This commit adds a new type alias `ToolEnabledLanguageModel` to the `constants.py` file in the `field_typing` module. This type alias is used to define the type of language models that have tooling enabled. It includes the `BaseLanguageModel`, `BaseLLM`, and `BaseChatModel` types. This change enhances the typing capabilities of the codebase and improves the clarity of the code.
* feat: update agent.py to include support for ToolEnabledLanguageModel
This commit modifies the `agent.py` file to include support for the `ToolEnabledLanguageModel` in the `LCToolsAgentComponent` class. The `ToolEnabledLanguageModel` is now added as an input type in the `HandleInput` section. This change enhances the functionality of the agent by allowing it to work with language models that have tooling enabled. The addition of this input type improves the flexibility and versatility of the codebase.
* feat: add support for ToolEnabledLanguageModel in LCAgentComponent
This commit modifies the `agent.py` file to include support for the `ToolEnabledLanguageModel` in the `LCAgentComponent` class. The `ToolEnabledLanguageModel` is now added as an input type in the `HandleInput` section. This change enhances the functionality of the agent by allowing it to work with language models that have tooling enabled. The addition of this input type improves the flexibility and versatility of the codebase.
* feat: add AgentAsyncHandler for handling callbacks from Agents
This commit adds the `AgentAsyncHandler` class to handle callbacks from langchain in the `callback.py` file. The `AgentAsyncHandler` is an async callback handler that can be used to handle various events such as tool start, tool end, agent action, and agent finish. This change enhances the functionality of the codebase by providing a convenient way to handle callbacks from langchain and log the events if a log function is provided.
* chore: add field_serializer decorator to Log class for message serialization
This commit adds the `field_serializer` decorator to the `Log` class in the `schema.py` file. The decorator is used to serialize the `message` attribute of the `Log` class, ensuring that all nested objects are properly serialized. This change improves the serialization process and enhances the functionality of the codebase.
* feat: Fix issue with logs in LangSmithTracer
This commit fixes an issue in the `LangSmithTracer` class where logs were not being properly serialized. The `add_metadata` method now converts logs to dictionaries using the `model_dump` method if they are not already dictionaries. This ensures that all logs are correctly serialized and improves the functionality of the codebase.
* feat: Add support for Pydantic V1 models in Log serialization
* fix: Update LCAgentComponent to handle list results in result variable
This commit modifies the `LCAgentComponent` class in the `agent.py` file to handle list results in the `result` variable. If the `result` is a list, it is joined into a single string using the `text` attribute of each result dictionary. This change improves the functionality of the codebase by ensuring that the `result` variable is always a string, which is expected by the `Message` class.
* feat: Add "name" parameter to AgentAsyncHandler methods
This commit adds a "name" parameter to the `on_tool_start`, `on_tool_end`, `on_agent_action`, and `on_agent_finish` methods of the `AgentAsyncHandler` class in the `callback.py` file. The "name" parameter allows for specifying a name for the event, which can be useful for logging and tracking purposes. This change enhances the functionality of the codebase by providing more flexibility in handling callbacks and improves the clarity of the code.
* feat: Update AgentAsyncHandler constructor to support logging multiple loggable types
This commit updates the `AgentAsyncHandler` constructor in the `callback.py` file to support logging multiple loggable types. The `log_function` parameter now accepts a callable that can handle either a single `LoggableType` or a list of `LoggableType` objects along with a string representing the event name. This change enhances the flexibility of the codebase by allowing for more versatile logging options and improves the clarity of the code.
* refactor(callback.py): update type hints in AgentAsyncHandler constructor and methods for better readability and accuracy
refactor(callback.py): simplify on_tool_end method by using **kwargs for flexibility and consistency with other methods
* feat: Add Gemma 2 to Groq model list (#2586)
Add gemma2 to groq_constants.py
* Adds new ConfluenceComponent module with lazy loading support
- Implements ConfluenceComponent to load documents from the Confluence platform.
- Adds necessary inputs, including URL, username, API key, space_key, and more.
- Supports configuration of max_pages for pagination control.
- Implements lazy loading in the load_documents method for incremental document processing.
- Allows immediate processing of documents as they are loaded.
This new module facilitates integration with the Confluence platform and enables efficient handling of large volumes of data.
* Adds new ConfluenceComponent module
- Implements ConfluenceComponent to load documents from the Confluence platform.
- Adds necessary inputs, including URL, username, API key, space key, and more.
- Supports configuration of max_pages for pagination control.
This new module facilitates integration with the Confluence platform.
* Updated load_documents method to use Data.from_document
- Changed load_documents method to convert documents using Data..from_document instead of docs_to_data for better integration with Data module.
- Updated trace_type to "tool" because the LangSmith API only supports one of the following types: ["tool", "chain", "llm", "retriever", "embedding", "prompt", "parser"].
* [autofix.ci] apply automated fixes
---------
Co-authored-by: Gordon Stein <7331488+gsteinLTU@users.noreply.github.com>
Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
* feat: migrate bingsearch to Component syntax
* all
* fix style
* [autofix.ci] apply automated fixes
* feat: Update BingSearchAPI and WikipediaAPI components
Refactor the BingSearchAPI and WikipediaAPI components to improve code organization and readability. Migrate BingSearchAPI to Component syntax and make initialization separate from the constructor. Update the condition to run end_all_traces in the BingSearchAPIComponent. Also, update the WikipediaAPIComponent to use the WikipediaAPIWrapper with the specified parameters.
* update lock
---------
Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org>
* feat: add yfinance dependency to pyproject.toml
* feat: Add YFinanceTool component for interacting with Yahoo Finance News
* refactor: update YfinanceToolComponent to use type casting for Tool return value
* feat: Update input handling in HierarchicalTaskComponent
The code changes modify the `HierarchicalTaskComponent` in the `HierarchicalTask.py` file. The `MessageTextInput` inputs are replaced with `MultilineInput` inputs to allow for multiline descriptions and expected outputs. This change improves the user experience and provides more flexibility in input handling.
* refactor: Update input handling in SequentialTaskComponent
The code changes modify the `SequentialTaskComponent` in the `SequentialTask.py` file. The `MessageTextInput` inputs are replaced with `MultilineInput` inputs to allow for multiline descriptions and expected outputs. This change improves the user experience and provides more flexibility in input handling.
* refactor: Update input handling in CrewAIAgentComponent
The code changes modify the `CrewAIAgentComponent` in the `CrewAIAgent.py` file. The `MessageTextInput` inputs are replaced with `MultilineInput` inputs to allow for multiline descriptions and expected outputs. This change improves the user experience and provides more flexibility in input handling.
* feat: add API endpoint for retrieving user data
* feat: add useAddUser hook for adding a user via API
* feat: add useGetUserPage hook for retrieving users with pagination
* refactor: optimize deletion of messages (#2714)
* feat: optimize deletion of messages in SessionView component
This commit optimizes the deletion of messages in the SessionView component by using the useDeleteMessages hook from the API queries. It replaces the useRemoveMessages hook that was previously used. The new implementation handles the deletion of messages more efficiently and provides better error handling. The selectedRows state is updated after successful deletion, and a success message is displayed to the user. In case of an error, an error message is shown.
Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org>
* feat: optimize deletion of messages in SessionView component
This commit optimizes the deletion of messages in the SessionView component by using the useDeleteMessages hook from the API queries. It replaces the useRemoveMessages hook that was previously used. The new implementation handles the deletion of messages more efficiently and provides better error handling. The selectedRows state is updated after successful deletion, and a success message is displayed to the user. In case of an error, an error message is shown.
Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org>
* refactor: optimize deletion of messages in SessionView component
This commit optimizes the deletion of messages in the SessionView component by using the useDeleteMessages hook from the API queries. It replaces the useRemoveMessages hook that was previously used. The new implementation handles the deletion of messages more efficiently and provides better error handling. The selectedRows state is updated after successful deletion, and a success message is displayed to the user. In case of an error, an error message is shown.
* [autofix.ci] apply automated fixes
---------
Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org>
Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
Co-authored-by: Lucas Oliveira <lucas.edu.oli@hotmail.com>
Co-authored-by: Lucas Oliveira <62335616+lucaseduoli@users.noreply.github.com>
* fix: component seems to be clickable (#2731)
* Changed card to not have shadow on hover if it is a component
* removed unused console.log
* feat: add logs field to ResultData and Vertex class (#2732)
* feat: add logs to ResultDataResponse in schemas.py
* feat(schema.py): add logs field to ResultData class to store log messages for better debugging and monitoring
* feat(vertex): add logs attribute to Vertex class to store logs for each vertex operation
* feat: add useDeleteUsers hook for deleting users via API
* feat: add useUpdateUser hook for updating user data via API
* feat: add useResetPassword hook for resetting user password via API
* feat: add logout API endpoint and useLogout hook
Add the `logout` API endpoint and the `useLogout` hook to handle user logout functionality. The `logout` API endpoint sends a PATCH request to the server to log out the user, while the `useLogout` hook provides a convenient way to call the `logout` API endpoint. This addition allows users to securely log out of the application.
* feat: add login API endpoint and useLoginUser hook
Add the `login` API endpoint and the `useLoginUser` hook to handle user login functionality. The `login` API endpoint sends a POST request to the server with the user's username and password to authenticate the user. The `useLoginUser` hook provides a convenient way to call the `login` API endpoint. This addition allows users to securely log in to the application.
* feat: add autologin API endpoint and useGetAutoLogin hook
Add the `autologin` API endpoint and the `useGetAutoLogin` hook to handle automatic login functionality. The `autologin` API endpoint sends a GET request to the server to check if the user is already logged in. The `useGetAutoLogin` hook provides a convenient way to call the `autologin` API endpoint. This addition allows for seamless automatic login for users who have previously logged in to the application.
* feat: add REFRESH constant and useRefrshAccessToken hook
Add the `REFRESH` constant to the `constants.ts` file and the `useRefrshAccessToken` hook to handle refreshing the access token. The `REFRESH` constant represents the API endpoint for refreshing the access token, and the `useRefrshAccessToken` hook provides a convenient way to call this endpoint. This addition allows for seamless token refreshing for authenticated users.
* refactor: fromat code
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Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org>
Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
Co-authored-by: Lucas Oliveira <lucas.edu.oli@hotmail.com>
Co-authored-by: Lucas Oliveira <62335616+lucaseduoli@users.noreply.github.com>
Add opentelemetry-instrumentation-fastapi as a dependency in pyproject.toml and poetry.lock files. This dependency is required for instrumenting FastAPI with OpenTelemetry for distributed tracing and monitoring.
