* fix: improve predecessors check for loop component
- Enhanced the handling of cycle vertices to prevent infinite loops by ensuring that a vertex can only run if all pending predecessors have completed.
- Updated conditions for the first execution of cycle vertices to allow running only if all pending predecessors are also cycle vertices.
- This refactor improves the robustness of the vertex management system in asynchronous workflows.
* fix: update _mark_branch method to return visited vertices and refine predecessor mapping
* fix: prevent duplicate item dependencies in LoopComponent
* feat: add loop connection handling in Component class
- Introduced methods to process loop feedback connections, allowing components to connect outputs to loop-enabled inputs.
- Implemented checks to validate loop connections and ensure proper handling of callable methods from other components.
- Enhanced the edge creation logic to support special loop feedback edges targeting outputs instead of inputs.
* fix: enhance name overlap validation in FrontendNode
- Updated the validate_name_overlap method to exclude outputs that allow loops from the overlap check.
- Improved error message to include the display name of the component, along with detailed lists of input and output names for better debugging.
* fix: correct condition for executing cycle vertices in RunnableVerticesManager
- Updated the logic to ensure that a cycle vertex can only execute if it is a loop and all pending predecessors are cycle vertices. This change enhances the robustness of the vertex management system in asynchronous workflows.
* feat: implement comprehensive loop flow for URL processing
- Added a new loop flow that processes multiple URLs through a series of components including URLComponent, SplitTextComponent, LoopComponent, ParserComponent, PromptComponent, OpenAIModelComponent, StructuredOutputComponent, and ChatOutput.
- Enhanced the StructuredOutputComponent to include a detailed system prompt and refined output schema to ensure proper JSON formatting.
- Introduced a test case to validate the creation and execution of the loop flow, ensuring all components are correctly integrated and the expected execution order is maintained.
* refactor: enhance loop target handling in Component and Edge classes
- Introduced LoopTargetHandleDict to better manage loop target structures in the Component and Edge classes.
- Updated the Component class to utilize type casting for loop target handles, improving type safety.
- Refactored the Edge class to accommodate the new loop target handling, ensuring compatibility with existing edge structures.
- Removed deprecated message handling methods from the Component class to streamline the codebase and improve maintainability.
* test: skip OpenAI model integration test if API key is not set
- Added a conditional skip to the test_build_model_integration_reasoning method to prevent execution when the OPENAI_API_KEY environment variable is not set, ensuring tests run only in appropriate environments.
* [autofix.ci] apply automated fixes
* chore: add required secrets for OpenAI and Anthropic APIs in CI workflows
* Updated ci.yml to include OPENAI_API_KEY and ANTHROPIC_API_KEY secrets.
* Modified python_test.yml to mark these secrets as required for workflow execution.
* fix: update OPENAI_API_KEY check in test_loop.py to handle dummy values
* Modified the condition in the pytest skipif decorator to also skip tests when OPENAI_API_KEY is set to "dummy", ensuring more robust test execution.
* refactor: streamline component setup in test_loop.py
* Removed redundant comments and improved formatting for component initialization in the loop_flow function.
* Added missing system_prompt to StructuredOutputComponent to resolve "Multiple structured outputs" error.
* Updated test_loop_flow to ensure it tests the graph creation with proper loop feedback connection.
---------
Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
* feat: Minimal experiment with zipping pre- and post-loop lists
Update test JSON to demonstrate a simple workflow using custom components for sequence generation and zipping, with a loop component to process the data. The changes include:
- Replaced previous components with custom components
- Added a sequence maker component
- Added a zipper component
- Configured loop component to work with the new components
- Updated flow description and last tested version
* feat: Refactor Loop Test workflow with enhanced component interactions
Update LoopTest.json to demonstrate a more complex data processing workflow:
- Modify MyZipper component to return Message instead of Data
- Update Loop component's stop condition logic
- Adjust node positions and connections
- Upgrade last tested version to 1.2.0
* test: Enhance Loop Component Test with JSON Parsing and Assertion
Add more robust testing for the Loop component by:
- Parsing TextOutput event from the response
- Extracting and parsing JSON data
- Adding detailed assertions to verify loop output
- Improving test coverage for loop component interactions
* refactor: simplify LoopTest.json structure and update node definitions
- Reduced the size of LoopTest.json by removing unnecessary edges and nodes.
- Updated node definitions for `ParseData` and `MessagetoData` components to enhance clarity and maintainability.
- Adjusted connections between nodes to reflect the new structure, ensuring proper data flow.
- Improved documentation within the JSON structure for better understanding of component functionalities.
* feat: add method to retrieve incoming edge by target parameter
- Implemented `get_incoming_edge_by_target_param` method in both `Component` and `Vertex` classes to facilitate the retrieval of source vertex IDs for incoming edges targeting specific parameters.
- Enhanced performance by caching outgoing and incoming edges in the `Vertex` class to avoid redundant calculations.
* feat: add dependency update method in LoopComponent
- Introduced `update_dependency` method to manage dependencies for the next iteration in the loop.
- Refactored existing logic to ensure proper handling of current items and loop termination conditions.
- Enhanced code clarity and maintainability by restructuring the flow of data processing within the loop.
* [autofix.ci] apply automated fixes
* refactor: update message assertions in TestLoopComponentWithAPI for accuracy
* feat: enhance LoopTest.json structure and component definitions
- Expanded the LoopTest.json file to include additional nodes and edges, improving the representation of component interactions.
- Updated definitions for `MyZipper`, `LoopComponent`, `MessagetoData`, and `ChatOutput` to enhance clarity and functionality.
- Introduced new properties and methods in components to support better data handling and processing.
- Improved documentation within the JSON structure for better understanding of component functionalities and usage.
* feat: add ran_at_least_once tracking to RunnableVerticesManager
- Introduced a new set, `ran_at_least_once`, to track vertices that have been executed at least once.
- Updated serialization methods to include the new property for state management.
- Enhanced logic in `all_predecessors_are_fulfilled` to prevent infinite loops for loop vertices that have already run.
* fix: add error handling for missing vertex in Component class
* refactor: improve variable naming and enhance readability in TestLoopComponentWithAPI
* feat: track vertex execution in run_manager by adding ran_at_least_once tracking
* feat: Enhance LoopComponent with dependency management and improved item output handling
- Added a method to update dependencies for the LoopComponent to ensure proper execution order.
- Improved item output logic to handle stopping conditions more effectively and update dependencies for subsequent runs.
- Refactored the item_output method to streamline the flow of data processing and context management.
* [autofix.ci] apply automated fixes
---------
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Co-authored-by: Edwin Jose <edwin.jose@datastax.com>
Co-authored-by: Eric Hare <ericrhare@gmail.com>
* refactor: simplify TaskService by removing Celery integration
* refactor: enhance AnyIO backend task management and error handling
* refactor: restructure flow building process and enhance event handling
* feat: implement QueueService for managing job queues and tasks
* feat: Add QueueService for managing job queues and task lifecycle
* feat!: Enhance flow building with QueueService integration for job management
* revert changes to async session
* feat: Integrate QueueService into lifespan management for task handling
* refactor: Enhance QueueService with robust lifecycle management and cleanup mechanisms
* refactor: Simplify docstring for get_queue_service function
* refactor: Update import statements in queue factory for clarity
* test: Improve chat endpoint tests with comprehensive build flow scenarios
* refactor: Streamline flow build event generation and queue management
* refactor: Improve flow build process with modular event handling and URL parameter management
* test: Enhance loop component tests with flow build and event handling utilities
* fix: Improve transaction logging with null flow_id handling and debug logging
* fix: Remove unnecessary db.refresh() in transaction logging
* feat: Add polling mode for build events with optional streaming
* feat: Add event delivery configuration option to settings
* feat: Implement polling for build events with configuration-driven streaming
* refactor: Enhance queue cleanup with improved logging and error handling
* test: Improve build event stream assertion with detailed error reporting
* test: Add benchmark test for build flow polling mechanism
* refactor: Remove redundant end event in flow event generation
* test: Update test_component_tool_with_api_key to use async flow
* Convert test method to async
* Update graph start method to use async_start()
* Add client parameter to test method
* Modify tool retrieval to use async method
* test: Add session ID generation in agent component test
* fix: Enhance error handling in LCAgentComponent for ExceptionWithMessageError
Add null checks to prevent potential AttributeError when handling agent message deletion
* test: Refactor test assertion for model name options in agent component
Simplify the assertion for checking "sonnet" in model name options by extracting the options to a variable first
* refactor: Improve type hints and imports in AnyIOTaskResult
* Add `__future__` import for type annotations
* Use conditional import for `Callable` and `TracebackType`
* Explicitly type `_traceback` attribute with `TracebackType | None`
* fix: Add null checks for event task in build events streaming
* refactor: Extract build and disconnect handling into separate modules
This commit separates the build and disconnect handling logic from the chat API module into dedicated files:
- Created `langflow/api/build.py` to house the flow generation and vertex building logic
- Created `langflow/api/disconnect.py` to manage the custom streaming response with disconnect handling
- Removed duplicate code from `langflow/api/v1/chat.py`
- Improved code organization and modularity
* refactor: Extract flow build and event handling methods in build API
This commit introduces two new methods in the build API to improve code organization and reusability:
- `start_flow_build()`: Centralizes the logic for creating a queue and starting a flow build task
- `get_flow_events_response()`: Handles retrieving flow events for both streaming and polling modes
The changes simplify the chat API endpoint implementations and reduce code duplication
* refactor: Deprecate /task endpoint and add informative error message
This commit marks the /task endpoint as deprecated and raises an HTTP 400 error with a clear message indicating the endpoint will be removed in a future version. The changes improve API clarity and guide users towards the recommended /run endpoint.
* refactor: Update log_transaction function return type annotation
Modify the return type hint for log_transaction to allow for potential None return, improving type safety and clarity in the transactions logging method.
* feat: Add configurable event delivery streaming option
Introduce support for configurable event delivery mode (streaming/polling) across frontend components:
- Add `shouldStreamEvents()` method in NodeStatus and IOModal
- Update flowStore to accept a `stream` parameter
- Modify buildFlowVerticesWithFallback to use the stream parameter directly
- Remove hardcoded polling logic in buildUtils
* fix: Add null check for flow_id in log_transaction function
Prevent logging transactions without a flow_id by returning None, ensuring data integrity and avoiding potential database errors
* chore: Update changes-filter to include chat API path
* fix: Add error handling and null checks in flow transaction deletion
Improve robustness of transaction and vertex build deletion by:
- Adding a null check for flow_id in delete_transactions_by_flow_id
- Wrapping deletion operations in try-except blocks to prevent failures
- Logging debug messages for any deletion errors
* fix: Remove redundant commit in vertex builds deletion
Remove unnecessary db.commit() from delete_vertex_builds_by_flow_id to prevent duplicate commits and simplify database transaction handling
* fix: Improve transaction logging with debug message and return value
Move debug logging from CRUD layer to utils to provide more context about logged transactions and ensure proper error handling
* fix: Improve error handling and transaction cleanup in active_user fixture
Enhance user and transaction cleanup process in test fixture by:
- Adding separate try-except blocks for transaction/vertex build deletion and user deletion
- Adding debug logging for potential errors during cleanup
- Ensuring proper session commits for each operation
* propagate parent task CancelledError instead of supressing it
Co-authored-by: Christophe Bornet <cbornet@hotmail.com>
* refactor: Rename queue service to job queue service
Restructure job queue management by:
- Renaming QueueService to JobQueueService
- Moving queue-related files to a new job_queue directory
- Updating import paths and service type references
- Enhancing job queue service with more robust async job management
* fix: Correct ServiceType enum reference for job queue service
Update the service type constant to match the recently renamed JobQueueService, ensuring consistent service type referencing across the application.
* refactor: Enhance JobQueueService with comprehensive logging and documentation
Improve the JobQueueService implementation by:
- Adding detailed docstrings with clear explanations of methods and attributes
- Implementing comprehensive logging throughout the service
- Enhancing error handling and logging for queue and task management
- Providing more context in log messages for debugging and monitoring
* docs: Improve stop method docstring for JobQueueService
Enhance the documentation for the stop method by:
- Providing a more detailed and precise description of the shutdown process
- Clarifying the steps involved in gracefully stopping the service
- Improving the explanation of resource cleanup and task cancellation
* fix: Properly handle task cancellation and propagate exceptions in JobQueueService
* fix: Enhance error handling and raise appropriate exceptions in JobQueueService methods
* improve docstring
Co-authored-by: Christophe Bornet <cbornet@hotmail.com>
* fix: Remove redundant exception raises in JobQueueService methods and improve cleanup logic
* fix: Improve logging during job cleanup and handle exceptions more appropriately
* feat: add utility to run tests with multiple event delivery modes
* feat: integrate withEventDeliveryModes utility in multiple test files
* refactor: replace status code assertions with httpx codes for clarity
* remove noqa comment and change argument name
Co-authored-by: Christophe Bornet <cbornet@hotmail.com>
* refactor: streamline event polling logic in get_flow_events_response
* refactor: use getattr for safer session attribute access
Co-author: @cbornet
* feat: add is_started method to JobQueueService
* refactor: modify JobQueueService start method and main.py queue service initialization
* feat: add ready state and teardown method to JobQueueService
* refactor: simplify job queue cleanup logic in JobQueueService
* refactor: improve error logging in active_user fixture
* refactor: improve AnyIO task management with TaskGroup and CancelScope
* refactor: Implement LimitedBackgroundTasks for controlled vertex build logging (#6312)
* feat: implement LimitedBackgroundTasks for controlled vertex build logging
* refactor: replace BackgroundTasks with LimitedBackgroundTasks in build_flow endpoint
* refactor: improve task cancellation error handling in JobQueueService
* refactor: Rename LimitedBackgroundTasks to LimitVertexBuildBackgroundTasks
* feat: Add EventDeliveryType enum for event delivery methods
* feat: Add polling constants for endpoint and streaming status
* refactor: Update buildFlowVerticesWithFallback to use polling constants
* refactor: Update event delivery handling to use EventDeliveryType enum
* [autofix.ci] apply automated fixes
* fix: Improve error handling for cancelled build tasks
Refactor generate_flow_events to properly handle and propagate CancelledError
- Remove unnecessary task creation and manual cancellation
- Directly await _build_vertex instead of creating a separate task
- Improve exception logging for cancelled tasks
- Ensure CancelledError is raised instead of being silently handled
* fix: trigger event_manager.on_end after error handling in generate_flow_events
---------
Co-authored-by: Christophe Bornet <cbornet@hotmail.com>
Co-authored-by: anovazzi1 <otavio2204@gmail.com>
Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
* Added backend to allow loop on output
* Added custom edge for looping components
* Added allows_loop to output type
* Added output_types to target handle if its a loop
* Fixed valid_connection to allow loops
* Added the loop handle to the outputs
* Added infinity icon
* Fixed clean edges to not delete loop edge
* Implement loop checking before build.
* Implemented looping indicator
* Fixed belzier path
* [autofix.ci] apply automated fixes
* 🔧 (reactflowUtils.ts): refactor cleanEdges and detectBrokenEdges functions to improve code readability and maintainability by extracting repeated logic into variables and reducing code duplication.
* [autofix.ci] apply automated fixes
* Add from_loop_target_handle method to TargetHandle class and update type field
* Enhance Edge class to handle loop target handles and validate loop edges
* Add output_names attribute and get_value_from_output_names method to Vertex class
* Add overlap check for input and output names in Component class
* Fix default value assignment in ComponentVertex to handle output names correctly
* Clarify error message for missing attributes in Component class
* Added backend to allow loop on output
* Added custom edge for looping components
* Added allows_loop to output type
* Added output_types to target handle if its a loop
* Fixed valid_connection to allow loops
* Added the loop handle to the outputs
* Added infinity icon
* Fixed clean edges to not delete loop edge
* Implement loop checking before build.
* Implemented looping indicator
* Fixed belzier path
* [autofix.ci] apply automated fixes
* 🔧 (reactflowUtils.ts): refactor cleanEdges and detectBrokenEdges functions to improve code readability and maintainability by extracting repeated logic into variables and reducing code duplication.
* [autofix.ci] apply automated fixes
* Add from_loop_target_handle method to TargetHandle class and update type field
* Enhance Edge class to handle loop target handles and validate loop edges
* Add output_names attribute and get_value_from_output_names method to Vertex class
* Add overlap check for input and output names in Component class
* Fix default value assignment in ComponentVertex to handle output names correctly
* Clarify error message for missing attributes in Component class
* feat: add loop component 🎁🎄 (#5429)
* add loop component 🎁🎄
* [autofix.ci] apply automated fixes
* fix: add loop component to init
* [autofix.ci] apply automated fixes
* refactor(loop): rename loop input variable and improve code quality
- Renamed 'loop' input to 'loop_input' for clarity.
- Simplified logic for checking loop input and aggregating results.
- Enhanced type hints for better code readability and maintainability.
* refactor(loop): add type hint to initialize_data method for improved clarity
* fix: mypy error incompatible return value type
* feat: adds test cases for loop component compatibility with the APIs, Loop component updates to support API (#5615)
* add loop component 🎁🎄
* [autofix.ci] apply automated fixes
* fix: add loop component to init
* [autofix.ci] apply automated fixes
* refactor(loop): rename loop input variable and improve code quality
- Renamed 'loop' input to 'loop_input' for clarity.
- Simplified logic for checking loop input and aggregating results.
- Enhanced type hints for better code readability and maintainability.
* refactor(loop): add type hint to initialize_data method for improved clarity
* adding test
* test cases added
* Update test_loop.py
* adding test
* test cases added
* Update test_loop.py
* update with the new test case method!
* Update test_loop.py
* tests updates
* Update loop.py
* update fix
* issues loop issues
* reverting debug mode params
* solves lint errors and fix the tests
* fix: mypy error incompatible return value type
* [autofix.ci] apply automated fixes
---------
Co-authored-by: Rodrigo Nader <rodrigosilvanader@gmail.com>
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: italojohnny <italojohnnydosanjos@gmail.com>
* feat: improve model input fields for Cohere component (#5712)
feat: improve model input fields for cohere component
1. Make api_key field required
2. Convert temperature to SliderInput with range 0-2
3. Add info description to temperature slider
* refactor: improve naming consistency in DataCombiner component (#5471)
* refactor: improve naming consistency in DataCombiner component
- Rename MergeOperation to DataOperation
- Rename component to DataCombinerComponent
- Convert operation enum values to uppercase
- Update method names for consistency
* [autofix.ci] apply automated fixes
* fix: resolved linting errors in __init__.py
* [autofix.ci] apply automated fixes
* Changed operation names to capitalize only first letter
* refactor: rename DataCombinerComponent to MergeDataComponent for better clarity and backwards compatibility
* [autofix.ci] apply automated fixes
* fix: Translate Portuguese text to English in merge_data.py
* feat: add required to data_inputs in MergeDataComponent
---------
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Co-authored-by: Edwin Jose <edwin.jose@datastax.com>
* refactor: Refactor Wikipedia API component (#5432)
* refactor(wikipedia): Refactor Wikipedia API component
* test: add unit tests for WikipediaAPIComponent
* [autofix.ci] apply automated fixes
* refactor: improve WikipediaAPIComponent tests and fix lint issues
* [autofix.ci] apply automated fixes
* fix: resolve lint issues in WikipediaAPIComponent tests
---------
Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
Co-authored-by: Edwin Jose <edwin.jose@datastax.com>
* fix: pass slider input values correctly, add test (#5735)
* ✨ (base.py): Update field validation to include "slider" type in addition to "float" type for better parameter handling
📝 (constants.py): Add "slider" type to the list of DIRECT_TYPES for consistency and completeness
* ✅ (test_inputs.py): add unit test for SliderInput class to ensure it initializes with correct value
* 🐛 (base.py): fix comparison of field type with a list by changing it to a set to ensure correct condition evaluation
* [autofix.ci] apply automated fixes
* fix format
* [autofix.ci] apply automated fixes
---------
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* feat: make AWS credentials required in bedrock component (#5710)
1. Make aws_access_key_id field required
2. Make aws_secret_access_key field required
* chore: update test durations (#5736)
Co-authored-by: ogabrielluiz <24829397+ogabrielluiz@users.noreply.github.com>
* feat: add truncation to ResultDataResponse (#5704)
* chore: Update dependencies and improve platform markers in configuration files
- Added 'hypothesis' version 6.123.17 to dev-dependencies in pyproject.toml.
- Updated platform markers from 'sys_platform' to 'platform_system' for better compatibility in uv.lock, affecting multiple packages including 'jinxed', 'colorama', and 'appnope'.
- Ensured consistency in platform checks across various dependencies to enhance cross-platform support.
This update improves the project's dependency management and ensures better compatibility across different operating systems.
* feat: Enhance ResultDataResponse serialization with truncation support
- Introduced a new method `_serialize_and_truncate` to handle serialization and truncation of various data types, including strings, bytes, datetime, Decimal, UUID, and BaseModel instances.
- Updated the `serialize_results` method to utilize the new truncation logic for both individual results and dictionary outputs.
- Enhanced the `serialize_model` method to ensure all relevant fields are serialized and truncated according to the defined maximum text length.
This update improves the handling of large data outputs, ensuring that responses remain concise and manageable.
* fix: Reduce MAX_TEXT_LENGTH in constants.py from 99999 to 20000
This change lowers the maximum text length limit to improve data handling and ensure more manageable output sizes across the application.
* test: Add comprehensive unit tests for ResultDataResponse and VertexBuildResponse
- Introduced a new test suite in `test_api_schemas.py` to validate the serialization and truncation behavior of `ResultDataResponse` and `VertexBuildResponse`.
- Implemented tests for handling long strings, special data types, nested structures, and combined fields, ensuring proper serialization and truncation.
- Enhanced coverage for logging and output handling, verifying that all fields are correctly processed and truncated as per the defined maximum text length.
- Utilized Hypothesis for property-based testing to ensure robustness and reliability of the serialization logic.
This update significantly improves the test coverage for the API response schemas, ensuring better data handling and output management.
* feat: Add function to validate models with tool calling function and related fixes in agent component (#5720)
* Update nvidia.py
* update agent experience with improving model selection
update agent experience with improving model selection and making only the tool calling models available.
* variable clean up
* [autofix.ci] apply automated fixes
* Update src/backend/base/langflow/base/models/model_input_constants.py
Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org>
* Update src/backend/base/langflow/base/models/model_input_constants.py
Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org>
* added default models
* [autofix.ci] apply automated fixes
* [autofix.ci] apply automated fixes (attempt 2/3)
* format errors solved
* [autofix.ci] apply automated fixes
* Update model.py
---------
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Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org>
* feat: assistants agent improvements (#5581)
* assistants agent improvements
* remove alembic init file
* vector store / file upload support
* use sync file object (required by sdk)
* steps
* self.tools initialization
* improvements for edwin
* add name and switch to MultilineInput
* ci fixes
* refactor: enhance flow type safety and clean up unused code (#5669)
* 📝 (use-save-flow.ts): add AllNodeType and EdgeType imports to improve type safety in useSaveFlow hook
📝 (index.tsx): remove unused setNoticeData function to clean up code and improve readability
* refactor: Remove unused code in GeneralPage component
* refactor: Remove unused code in cardComponent/index.tsx
---------
Co-authored-by: anovazzi1 <otavio2204@gmail.com>
* feat: Add `required=True` to essential inputs across Langflow components (#5739)
* fix: add required validation to input fields
Ensures mandatory fields are properly marked as required across components.
* fix: add required validation to input fields
Ensures mandatory fields are properly marked as required across components.
* fix: add required validation to input fields
field: model_name
* fix: add required validation to input fields
field: model and base_url
* fix: add required validation to input fields
input: mistral_api_key
* fix: add required validation to input fields
inputs: model, base_url, nvidia_api_key
* fix: add required validation to input fields
inputs: model, base_url
* fix: add required validation to input fields
input: openai_api_key
* fix: add required validation to input fields
inputs: message, embedding_model
* fix: add required validation to input fields
inputs: model_name, credentials
* fix: add required validation to input fields
inputs: aws_secret_access_key, aws_access_key_id
* fix: add required validation to input fields
inputs: input_text, match_text
* fix: add required validation to input fields
inputs: input_message
* fix: add required validation to input fields
inputs: input_value
* fix: add required validation to input fields
input: data_input
* fix: add required validation to input fields
inputs: input_value
* fix: add required validation to input fields
input: data_input
* fix: add required validation to input fields
input: data_input
* fix: add required validation to input fields
input: data_input
* fix: add required validation to input fields
input: data_input
* fix: add required validation to input fields
inputs: data_inputs, embeddings
* fix: add required validation to input fields
inputs: api_key, input_value
* fix: add required validation to input fields
inputs: password, username, openai_api_key, prompt
* fix: add required validation to input fields
inputs: api_key, transcription_result
* fix: add required validation to input fields
inputs: api_key, transcription_result, prompt
* fix: add required validation to input fields
input: prompt
* fix: add required validation to input fields
input: api_key
* fix: add required validation to input fields
inputs: api_key, transcript_id
* fix: add required validation to input fields
inputs: audio_file, api_key
* [autofix.ci] apply automated fixes
* [autofix.ci] apply automated fixes (attempt 2/3)
---------
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* feat: make YouTube Transcripts URL field required (#5686)
feat: Enhance YouTube Transcripts component by adding required field validation to URL input
This change ensures that users provide a video URL before using the YouTube Transcripts component, preventing potential runtime errors due to missing video source.
* fix: Fix memory leak when creating components (#5733)
Fix memory leak when creating components
* test: Update API key requirements and test configurations for frontend tests (#5752)
---------
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: italojohnny <italojohnnydosanjos@gmail.com>
Co-authored-by: Edwin Jose <edwin.jose@datastax.com>
Co-authored-by: Vinícios Batista da Silva <vinicios.batsi@gmail.com>
Co-authored-by: Raphael Valdetaro <79842132+raphaelchristi@users.noreply.github.com>
Co-authored-by: Cristhian Zanforlin Lousa <cristhian.lousa@gmail.com>
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* Updated loop.py component
* [autofix.ci] apply automated fixes
* update test file
* fix: handle None values in input names and improve type hints
* [autofix.ci] apply automated fixes
* Added loop component test
* Added comments
* test: add 'allow_loop' field to Output dictionary in test_output_to_dict method
* fix: correct key name in Output dictionary from 'allow_loop' to 'allows_loop' in test_output_to_dict method
* Updated frontend loop test
* Updated examples
* 🐛 (generalBugs-shard-9.spec.ts): Fix incorrect test selector for chat memory output element
🐛 (loop-component.spec.ts): Fix incorrect test selector for chat output element
🐛 (generalBugs-shard-3.spec.ts): Fix incorrect test selector for open AI model output element
* [autofix.ci] apply automated fixes
* refactor: update return type in AgentComponent to use dotdict for build_config
This change modifies the return statement in the AgentComponent class to utilize a dotdict for the build_config, enhancing the structure and accessibility of the returned configuration data.
* [autofix.ci] apply automated fixes
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Gabriel Luiz Freitas Almeida