* add first astra integ test framework
* use fixtures
* remove old tests from merge
* Add correct sender type
* chore: Update unit test command in GitHub workflow
---------
Co-authored-by: ogabrielluiz <gabriel@langflow.org>
* chore: Refactor CustomComponent to improve repr_value handling
* ♻️ (endpoints.py): Refactor the simplified_run_flow and webhook_run_flow functions to remove caching
* Refactor endpoints.py to remove caching and update tests
* chore: Update persist_directory parameter to handle None value in ChromaSearch and Chroma components
* 🐛 (test_endpoints.py): fix assertion to check for correct key name in output results for chat and any input types
* chore: Update launch.json to use debugpy instead of python for debugging
* refactor: Update import statements for Record in langflow components
* feat: Add image handling functionality to langflow schema
* update projects
* 📝 (constants.py): Add 'output_types' to NODE_FORMAT_ATTRIBUTES for consistency and completeness
♻️ (setup.py): Refactor imports to improve readability and maintainability
♻️ (setup.py): Update code to remove fields that are not in the latest template for consistency
* refactor: Update schema from Record to Message
* refactor: Remove print statement in MonitorService
* refactor: Remove fields not in the latest template for consistency
* refactor: Update code to handle Record objects in utils.py
* update projects
* 📝 (monitor.py): Add type hint for message_id parameter in update_message function
📝 (parse.py): Rename ParsedContext to ParsedArgs for clarity
📝 (chat.py): Remove unused imports and methods in ChatComponent class
📝 (StoreMessage.py): Change return type of store_message method from list[Record] to list[Message]
📝 (base.py): Change type hint from Dict[str, str | list[str]] to Mapping[str, str | list[str]] in update_raw_params method
📝 (loading.py): Add condition to check if raw is not None before accessing its attributes in instantiate_custom_component function
📝 (memory.py): Change return type of get_messages function from list[Record] to list[Message]
📝 (memory.py): Change parameter type of add_messages function from Message to Message | list[Message]
📝 (image.py): Add type hint for image_prompt_value variable in Message class
🐛 (record.py): fix type hint for image_prompt_value variable to ImagePromptValue to improve code clarity and maintainability
* chore: Add orjson options for serialization
* chore: Update orjson options for serialization in setup.py
* chore: Update input_value options for models
This commit updates the input_value options for the models in the `OpenAIModel.py`, `MistralModel.py`, `CohereModel.py`, `VertexAiModel.py`, `ChatLiteLLMModel.py`, `OllamaModel.py`, `HuggingFaceModel.py`, `AnthropicModel.py`, and `AmazonBedrockModel.py` files. The `input_value` now supports the additional input type "Prompt". This change allows for more flexibility in the input data that can be provided to the models.
Fixes #<issue_number>
* chore: Update edges with latest component versions
This commit updates the edges in the project data with the latest component versions. It ensures that the source and target nodes are correctly updated based on their corresponding nodes in the project. The commit also includes escaping of JSON dumps for the source and target handles in the edges.
* 📝 (utils.py): Remove unnecessary async keyword from dict_values_to_string function to improve code readability and consistency
🔧 (utils.py): Simplify handling of Message objects by directly accessing the text property instead of calling to_lc_message() method
* chore: Refactor PromptComponent to use updated Prompt class and remove unused imports
* feat: Add support for image files in Message model
This commit modifies the Message model to support image files as attachments. It introduces the `is_image_file` function to check if a file is an image, and the `to_content_dict` method in the Image class to convert the image object to a content dictionary. Additionally, the `get_file_content_dicts` method is added to generate content dictionaries for all files in the message, including images. This enhancement improves the handling of image attachments in the messaging system.
Fixes #<issue_number>
* update projects and lock
* chore: Update LCModelComponent to use Prompt instead of Record
* refactor: Update artifact type to include message in utils.py
* fix: Add check for input_value to only pass if string
* ✨ (switchOutputView/index.tsx): introduce constant RECORD_TYPES to store valid record types for better readability and maintainability
🔧 (switchOutputView/index.tsx): refactor switch cases to use RECORD_TYPES constant for checking valid record types and simplify the logic for handling different types of result messages
* feat: Enable loading from database for openai_api_key field in Langflow starter projects
This commit updates the Langflow starter projects by enabling the loading of the `openai_api_key` field from the database. Previously, the field was not being loaded from the database, but now it will be loaded and used in the projects. This change improves the functionality and flexibility of the projects.
Fixes #<issue_number>
* ♻️ (constants.py): remove unnecessary import statement and clean up code formatting in ORJSON_OPTIONS constant definition
* refactor: Update MemoryComponent to use messages instead of records
This commit updates the MemoryComponent class in the langflow/components/helpers/MemoryComponent.py file to use the term "messages" instead of "records" for better clarity and consistency. It also updates the get_messages method to return a list of Message objects instead of Record objects. This change improves the naming and readability of the code.
* refactor: Update Message model to include timestamp conversion function
This commit updates the Message model in the langflow/schema/message.py file to include a new function `_timestamp_to_str` that converts the timestamp to a string format. This function is used as a BeforeValidator for the `timestamp` field, ensuring that it is always formatted correctly. This change improves the consistency and reliability of the timestamp handling in the messaging system.
* refactor: Update test_data_components.py to improve directory component loading
This commit updates the test_data_components.py file to improve the loading of the directory component. It ensures that the directory component can load mdx files from the ../docs/docs/components directory. This change enhances the functionality and reliability of the directory component.
Fixes #<issue_number>
* refactor: Update .gitattributes to specify working-tree-encoding for .mdx and .json files
This commit updates the .gitattributes file to specify the working-tree-encoding for .mdx and .json files. It sets the encoding to UTF-8 for both file types, ensuring consistent handling of character encoding. This change improves the reliability and compatibility of the repository.
Fixes #<issue_number>
* fix: 🐛 corrects encoding error
* refactor: Update toolkits.mdx to improve documentation and fix formatting
* refactor: Add dictdiffer library as a dependency
This commit adds the dictdiffer library as a dependency in the poetry.lock file. The dictdiffer library is a useful tool for diffing and patching dictionaries. It will enhance the functionality and flexibility of the project.
* feat: Refactor delete_multiple_flows endpoint to use DELETE method
The code changes modify the `delete_multiple_flows` endpoint in the `flows.py` file. The endpoint was previously using the `POST` method, but it has been refactored to use the `DELETE` method instead. This change aligns with RESTful API conventions and improves the clarity and consistency of the codebase.
Note: The commit message has been generated based on the provided code changes and recent commits.
* Refactor delete_multiple_flows endpoint to use DELETE method
* Refactor delete_multiple_flows endpoint to use DELETE method
* ♻️ (index.ts): refactor deleteBatch function to use data field instead of params for batch deletion
---------
Co-authored-by: cristhianzl <cristhian.lousa@gmail.com>
* refactor: Update pytest arguments in Makefile for better test execution
The Makefile has been modified to update the pytest arguments in the `tests` target. The `--instafail` flag has been replaced with `-ra -n auto -m "not api_key_required"`. This change allows for better test execution by including additional options for reporting, parallelization, and test selection.
Note: The commit message has been generated based on the provided code changes and recent commits.
* ✨ (test_endpoints.py): add pytest marker 'api_key_required' to mark tests that require an API key for authorization. This helps in easily identifying and managing tests that need special permissions.
* Update FastAPI app configuration in main.py
* Add webhook endpoint
* Add Observer model and related changes to database models
* Update refresh button text in ParameterComponent
* Update database models and main.py, and add webhook endpoint and utils for flow model
* Add WebhookComponent to langflow data components
* Update webhook component names in flow data and remove unused code in edge/base.py and graph/base.py
* 🐛 (endpoints.py): fix an issue where the user_id was not being correctly assigned based on the api_key_user or flow object
* 📝 (endpoints.py): Update documentation for the webhook_run_flow endpoint to provide clearer information on its purpose, arguments, and return value. Remove outdated request JSON structure and example request sections. Add information on the arguments and exceptions raised for better clarity.
* chore: Remove unnecessary trailing commas in code files
* feat: Add yield statement to get_lifespan function
* feat: Update webhook columns revision ID
* Refactor import statements for OpenAI conversational agent
* refactor(constants.ts): remove unused tabsArray function and update function name to createTabsArray for clarity
feat(constants.ts): add support for including webhook code in tabs array based on flow webhook property
feat(index.tsx): update function calls to use new createTabsArray function and include webhook code in tabs array based on flow webhook property
refactor(utils.ts): remove trailing commas in function parameters to improve code consistency and readability
feat(utils.ts): add support for including webhook cURL code and tweaks code in tabs array creation for better code organization and presentation
* chore: Update folder_id parameter type to str in API endpoints
* feat: Handle invalid JSON payload in WebhookComponent
The code changes in `Webhook.py` modify the `build` method of the `WebhookComponent` class. If an invalid JSON payload is provided, instead of raising a `ValueError`, the code now handles the exception by creating a default payload with the provided data. The commit also includes a message that describes the invalid JSON payload for better error tracking.
Note: This commit message follows the convention used in the recent user commits.
* refactor: Remove unnecessary code in main.py
* refactor: Update Alembic revision IDs for webhook columns
The Alembic revision IDs for adding webhook columns have been updated to reflect the latest changes. This ensures consistency and proper tracking of the database schema modifications.
Note: The commit message has been generated based on the provided code changes and recent commits.
* 🐛 (endpoints.py): Fix handling of flow_id_or_name variable to correctly identify flow ID or endpoint name for running a flow. Improve error handling for invalid UUID strings and flow not found scenarios.
* refactor: Handle invalid JSON payload in WebhookComponent
The code changes in `Webhook.py` modify the `build` method of the `WebhookComponent` class. If an invalid JSON payload is provided, instead of raising a `ValueError`, the code now handles the exception by creating a default payload with the provided data.
* refactor: Update get_flow_by_id function to handle None flow_id parameter
The get_flow_by_id function in utils.py has been updated to handle the case where the flow_id parameter is None. Previously, the function would raise an exception if flow_id was not provided. Now, if flow_id is None, the function returns None instead of querying the database. This change improves the robustness of the function and allows for more flexible usage.
Note: The commit message has been generated based on the provided code changes and recent commits.
* 📝 (endpoints.py): Add import statement for get_flow_by_id_or_endpoint_name function
📝 (flow.py): Add get_flow_by_id_or_endpoint_name function to retrieve a Flow object by ID or endpoint name
* refactor: Update get_flow_by_id_or_endpoint_name function to handle None flow_id parameter
* 🐛 (flow.py): replace ValueError with HTTPException to return a 404 status code when flow identifier is not found
* refactor: Update error message for flow identifier not found
The code changes in `test_endpoints.py` update the error message when a flow identifier is not found. Previously, the error message referenced the flow ID directly, but now it uses the more generic term "Flow identifier" to account for cases where the identifier could be an endpoint name. This change improves the clarity and flexibility of the error message.
Note: This commit message has been generated based on the provided code changes and recent commits.
* 🔧 (endpoints.py): remove unnecessary flow_id_or_name parameter from the simple_run_flow function call to improve code readability and maintainability
* feat: read flows from local directory at startup
* cleanup
* add check
* fix
* fix
* fix by endpoint name
---------
Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org>
* feat: Add support for running flows by endpoint name
This commit modifies the `simplified_run_flow` endpoint in `endpoints.py` to allow running flows using the endpoint name instead of the flow ID. It introduces a new route parameter `flow_id_or_name` which can accept either a UUID or a string representing the endpoint name. The code first attempts to parse the parameter as a UUID, and if that fails, it queries the database to find a flow with the matching endpoint name. This change improves the usability of the API by providing an alternative way to identify flows for execution.
* feat: Add endpoint_name field to FlowType
This commit adds the `endpoint_name` field to the `FlowType` interface in the `index.ts` file. The `endpoint_name` field is an optional string that represents the name of the endpoint associated with the flow. This change allows for more flexibility in identifying flows by endpoint name instead of just the flow ID. It improves the usability of the codebase by providing an alternative way to reference flows.
* 🐛 (endpoints.py): change type of flow_id_or_name parameter from Union[str, UUID] to str to simplify the API and improve readability
* feat: Add migration utility functions for table, column, foreign key, and constraint existence checks
This commit adds utility functions to the `migration.py` module in the `langflow.utils` package. These functions provide convenient ways to check the existence of tables, columns, foreign keys, and constraints in a database using SQLAlchemy. The functions `table_exists`, `column_exists`, `foreign_key_exists`, and `constraint_exists` take the table name, column name, foreign key name, and constraint name respectively, along with the SQLAlchemy engine or connection object. They use the `Inspector` class from `sqlalchemy.engine.reflection` to retrieve the necessary information and return a boolean value indicating whether the specified element exists in the database. These utility functions improve the readability and maintainability of the codebase by encapsulating the common existence checks in a reusable and modular way.
* feat: Add unique constraints for per-user folders and flows
This commit adds unique constraints for per-user folders and flows in the database. It introduces the `unique_folder_name` constraint for the `folder` table, ensuring that each user can have only one folder with a specific name. Similarly, it adds the `unique_flow_endpoint_name` and `unique_flow_name` constraints for the `flow` table, enforcing uniqueness of endpoint names and flow names per user. These constraints improve data integrity and prevent duplicate entries in the database, providing a more robust and reliable system.
* feat: Add poetry installation and caching steps to GitHub Actions workflow
This commit updates the GitHub Actions workflow file `action.yml` to include additional steps for installing poetry and caching its dependencies. The `run` step now installs poetry using the specified version and ensures that the poetry binary is available in the PATH. Additionally, the workflow now includes a step to restore pip and poetry cached dependencies using the `actions/cache` action. These changes improve the workflow by providing a more efficient and reliable way to manage poetry dependencies and caching.
* refactor: Improve error handling in update_flow function
This commit improves the error handling in the `update_flow` function in `flows.py`. It adds a new `elif` condition to check if the exception is an instance of `HTTPException` and re-raises it. This ensures that any `HTTPException` raised during the update process is properly handled and returned as a response. Additionally, it removes the unnecessary `else` block and simplifies the code logic. This refactor enhances the reliability and maintainability of the `update_flow` function.
* Refactor code to remove console.log statements
* Refactor code to remove console.log statements
* ⬆️ (pyproject.toml): upgrade uncurl dependency to version 0.0.11
* 📝 (flows.py): Add docstring to the read_flows function to provide information about its purpose, arguments, and return value
📝 (parse.py): Add comments and docstrings to the parse_context function to explain its purpose and how it works
📝 (APIRequest.py): Add a new method update_build_config to handle parsing of curl commands and update build configuration based on the parsed context
* refactor: Improve value change detection logic in DictComponent
* refactor: Improve value change detection logic in DictAreaModal
* refactor: Update APIRequest to handle parsing of curl commands and update build configuration
This commit updates the APIRequest class in APIRequest.py to handle parsing of curl commands and update the build configuration based on the parsed context. It introduces a new method, update_build_config, which parses the curl command using the parse_context function and updates the build configuration with the parsed information. Additionally, it handles JSON decoding errors when parsing the data field of the curl command. This improvement enhances the functionality and flexibility of the APIRequest component.
* feat: Add support for handling headers as dictionaries in APIRequest
* refactor: Parse curl commands and update build configuration in APIRequest
This commit refactors the APIRequest class in APIRequest.py to handle parsing of curl commands and update the build configuration based on the parsed context. It introduces a new method, update_build_config, which parses the curl command using the parse_context function and updates the build configuration with the parsed information. Additionally, it handles JSON decoding errors when parsing the data field of the curl command. This improvement enhances the functionality and flexibility of the APIRequest component.
* ✨ (test_data_components.py): add new test case to parse curl command into build configuration for API requests
* 🐛 (src/backend/base/langflow/components/data/APIRequest.py): fix type hinting issue for bodies variable in APIRequest class
* chore(pyproject.toml): update vulture dependency to version 2.11
* chore: Remove unused files and imports
* Refactor legacy_custom/customs.py by removing unused nodes and chains
* Refactor langflow.interface.custom.base.py by removing unused code
* Refactor test_custom_component.py to import CustomComponent from langflow.custom
* refactor(agents): remove AgentInitializer and OpenAIConversationalAgent components as they are no longer needed
refactor(embeddings): remove client parameter from OpenAIEmbeddingsComponent as it is not used
refactor(memories): change search_scope and search_type parameters in ZepMessageReaderComponent to be of type str
refactor(model_specs): remove examples parameter from ChatVertexAIComponent as it is not used
refactor(models): change metadata parameter type in OllamaModel to Dict for consistency
refactor(VertexAiModel.py): remove examples parameter from ChatVertexAIComponent constructor to simplify the class structure
refactor(MultiQueryRetriever.py): change prompt parameter type to Text for better consistency and readability
refactor(JsonToolkit.py): update build method to handle both json and yaml file types for JsonToolkit creation
refactor(OpenAPIToolkit.py): update build method to handle both json and yaml file types for JsonSpec creation and improve parameter naming for clarity
* Format json
* refactor(langflow.custom): update imports in code files to use the new langflow.custom module
* chore(settings.py): remove unused settings file and related imports and classes from the project.
* refactor(langflow): optimize imports in graph/__init__.py and graph/graph/base.py
refactor(langflow): remove unused code and simplify logic in vertex/base.py
refactor(types.py): remove unused imports and classes, clean up commented out code, and improve code readability by removing unnecessary methods and attributes
refactor(utils.py): remove unused functions is_basic_type, invoke_lc_runnable, generate_result
feat(load): add new functionality to load flow from JSON file or object and run flow from JSON file or object
feat(load): add new modules load.py and __init__.py for loading and running flow from JSON
feat(processing): remove unused functions get_result_and_steps, flush_langfuse_callback_if_present
refactor(process.py): remove unused functions and imports to clean up the codebase
feat(utils.py): remove unused file utils.py to declutter the project and improve maintainability
test(test_loading.py): update import paths after restructuring the project folders
* refactor(chat.py): rename flow_id variable to flow_id_str for better clarity
refactor(chat.py): update flow_id usage to flow_id_str in build_vertex function for consistency
refactor(chat.py): change flow_id to flow_id_str in build_vertex function for consistency
refactor(chat.py): replace flow_id with flow_id_str in build_vertex function for consistency
refactor(chat.py): update flow_id to flow_id_str in build_vertex_stream function for consistency
refactor(chat.py): change flow_id to flow_id_str in build_vertex_stream function for consistency
refactor(chat.py): replace flow_id with flow_id_str in build_vertex_stream function for consistency
refactor(chat.py): update flow_id to flow_id_str in build_vertex_stream function for consistency
refactor(endpoints.py): replace flow_id with flow_id_str in simplified_run_flow function for consistency
refactor(endpoints.py): update flow_id to flow_id_str in simplified_run_flow function for consistency
refactor(endpoints.py): change flow_id to flow_id_str in simplified_run_flow function for consistency
refactor(endpoints.py): replace flow_id with flow_id_str in simplified_run_flow function for consistency
refactor(endpoints.py): update flow_id to flow_id_str in simplified_run_flow function for consistency
refactor(endpoints.py): change flow_id to flow_id_str in simplified_run_flow function for consistency
refactor(endpoints.py): replace flow_id with flow_id_str in simplified_run_flow function for consistency
refactor(endpoints.py): update flow_id to flow_id_str in simplified_run_flow function for consistency
refactor(endpoints.py): change flow_id to flow_id_str in experimental_run_flow function for consistency
refactor(endpoints.py): replace flow_id with flow_id_str in experimental_run_flow function for consistency
refactor(endpoints.py): update flow_id to flow_id_str in experimental_run_flow function for consistency
refactor(endpoints.py): change flow_id to flow_id_str in experimental_run_flow function for consistency
refactor(endpoints.py): replace flow_id with flow_id_str in experimental_run_flow function for consistency
refactor(endpoints.py): update flow_id to flow_id_str in experimental_run_flow function for consistency
refactor(endpoints.py): change flow_id to flow_id_str in experimental_run_flow function for consistency
refactor(endpoints.py): replace flow_id with flow_id_str in experimental_run_flow function for consistency
refactor(endpoints.py): update flow_id
fix(files.py): update variable names from flow_id to flow_id_str for consistency
feat(files.py): use flow_id_str instead of flow_id for file operations to ensure correct folder paths
feat(files.py): improve error handling and response messages in file operations
feat(flows.py): optimize query for fetching example flows
feat(folders.py): refactor create_folder function for better readability and maintainability
feat(folders.py): update_folder function to handle excluded_flows and concat_folder_components
feat(folders.py): improve error handling and response messages in folder operations
feat(folders.py): optimize query for fetching folder in download_file function
feat(schemas.py): update FlowListReadWithFolderName schema field names to name and description
feat(OpenAIConversationalAgent.py): add support for using pydantic SecretStr for storing API key securely
feat(ChatOpenAISpecs.py): add support for using pydantic SecretStr for storing API key securely
refactor(RecordsOutput.py): change base class from TextComponent to CustomComponent
refactor(base.py): remove unused import and log_transaction call
refactor(model.py): change components and flows fields to have default_factory=list
refactor(utils.py): update SQLModel import and use Field for components and flows fields
refactor(service.py): change table_map declaration to use type hints for better readability
* feat(tests): add import statement for Folder model in conftest.py to support new functionality
refactor(tests): update query in conftest.py to use nested query for Folder name
refactor(tests): update import statement for UUID in test_endpoints.py
refactor(tests): update UUID usage in test_endpoints.py for consistency and clarity
refactor(tests): update UUID usage in test_endpoints.py for consistency and clarity
refactor(tests): update UUID usage in test_endpoints.py for consistency and clarity
refactor(tests): update UUID usage in test_endpoints.py for consistency and clarity
feat(tests): add import statement for Folder model in test_initial_setup.py to support new functionality
refactor(tests): update query in test_initial_setup.py to use Folder model for better readability and maintainability
* new lock
* format
* chore: Bump langflow version to 1.0.0a34 and langflow-base version to 0.0.45
* Fix fallback_to_env_vars type hint
* chore: Add fallback_to_env_vars parameter to run_flow_from_json function
The `run_flow_from_json` function now accepts a new optional parameter `fallback_to_env_vars` which determines whether Global Variables should fallback to environment variables if not found. This change allows for more flexibility in handling variable values.
* chore: Add fallback_to_env_vars parameter to run_flow_from_json function
* chore: Set file path to None when not found in component
This commit modifies the `Vertex` class to set the file path to `None` when it is not found for a required field in a component. This change ensures that the code can handle missing file paths gracefully and avoids raising a `ValueError`.
* chore: Add fallback_to_env_vars parameter to run_flow_from_json function
* new package lock
* chore: Refactor loading of settings and handle missing keys
* chore: Update .env.example file with new configuration options
* Ignore database files in .gitignore
* Refactor loading of settings and handle missing keys
* Update DOWNLOAD_WEBHOOK_URL in base settings to use the correct URL for triggering flows in the Langflow store.
* 🐛 (base.py): Fix condition to copy existing database to new location only if SAVE_DB_IN_CONFIG_DIR is true
* 🐛 (base.py): update log message to accurately reflect the action being taken when creating a new database
* Fix mark_branch function in Graph class to properly handle visited vertices
* Refactor build_and_cache_graph_from_db function in utils.py to simplify code and remove unnecessary parameter
* Fix retrieval of graph from cache in retrieve_vertices_order function
* Fix possible_id type annotation in get_id_from_search_string function
* Refactor APIRequest class to improve variable naming and remove unnecessary underscore prefix in headers parameter
* Refactor buildVertices function in buildUtils.ts to improve code readability and remove unnecessary variable assignment
* Fix API endpoints in test_endpoints.py to use correct HTTP methods
* Update Dockerfiles to include user creation and use --user flag for pip install
* Add JavaScriptMIMETypeMiddleware to main.py
* Update constants.py and run.py files
* Update package versions in poetry.lock and pyproject.toml files
* Refactor Dockerfile to optimize image building process
* Fix import error in main.py
* Update Dockerfiles to use logspace/langflow image
* Update package versions in pyproject.toml and poetry.lock files
* Update poetry caching action and workflows
* Update poetry caching action and workflows
* Refactor LLMChainComponent build method in LLMChain.py
* Update poetry install command in Makefile
* Refactor Makefile to remove redundant install_backend targets
* Fix codespell issues in project
* Update package versions and dependencies
* Fix import order in chat_io.spec.ts, headerComponent/index.tsx, and chatMessage/index.tsx
* Update ruff command in Makefile and fix poetry cache reuse in Dockerfile
* Refactor ServiceManager class in manager.py to handle default service factories
* Fix typo in DOWNLOAD_WEBHOOK_URL variable assignment
* Refactor cache_service tests in test_cache_manager.py
* Add pytest-profiling
* Update Makefile to run unit tests with parallel execution
* Refactor ServiceManager class in manager.py to handle default service factories
* Refactor node_name condition in Graph class to use "Listen" instead of "GetNotified"
* Refactor file paths in tests/conftest.py for better readability and maintainability
* Sort vertices in each layer by dependency in Graph class
* Refactor variable declaration in SessionService class to use type hinting
* Refactor make tests command in python_test.yml workflow
* Refactor file paths in tests/conftest.py for better readability and maintainability
* Refactor imports in tests/conftest.py to include sqlmodel.Session and related dependencies
* Refactor file paths in tests/conftest.py to include available files in error message
* Refactor file paths in tests/conftest.py to include available files in error message
* Refactor file paths in tests/conftest.py to fix typo in BasicChatwithPromptAndHistory.json
* Update datetime handling in ApiKey and Variable models
* Refactor test_login_successful function in test_login.py
* Fix nullable attribute for created_at and updated_at fields in Variable model
* Update setup_mode to "Sync" in AstraDBVectorStoreComponent
* Fix search_kwargs default value in PineconeSearch and QdrantSearch components
* Update Playwright test and ChatMessage component in chat_io.spec.ts and chatMessage/index.tsx
* Refactor test_pickle_each_vertex function in test_graph.py
* Refactor database service to improve performance and readability
* Refactor test_loading.py to improve code readability and maintainability
* Refactor code in test_template.py, __main__.py, and utils.py to improve code readability and maintainability
* Fix logger.configure() to disable logging when disable flag is True
* Refactor validate_icon function to use emoji library for emoji validation in model.py
* Refactor import statements in base.py files to improve code organization and maintainability
* Refactor state_manager.py to handle error when getting state service and use InMemoryStateService as fallback
* Refactor load_flow_from_json function in load.py to configure logs and load services
* Add test_run_flow_from_json_object function to test_loading.py
* Refactor langflow.processing.process.py and langflow.schema.graph.py
* Set all streaming to false in run_flow_from_json function
* Refactor import statements in base.py files to improve code organization and maintainability
* Refactor arun function in base.py to handle event loop and async execution
* Add docstring to run_flow_from_json
* Refactor import statements in base.py files to use logger in langflow interface
* Refactor build method in ChatOutput and TextInput classes to use build_with_record
* Refactor import statements in base.py files to improve code organization and maintainability
* Refactor import statements in PythonREPLTool.py for improved code organization and maintainability
* Refactor build method in TextOutput class to include optional record_template parameter
* Refactor build method in ChatComponent class to include build_no_record method
* Refactor input_value parameter in TextInput build method to use Text type
* Refactor import statements in FlowTool.py for improved code organization and maintainability
* Bump langflow-base version to 0.0.25 and add asyncer dependency
* Refactor code in multiple files for improved organization and maintainability
* Refactor import statements in multiple files for improved code organization and maintainability
* Add options field to FIELD_FORMAT_ATTRIBUTES constant and import pathlib in test_initial_setup.py
* Update TEXT_FILE_TYPES in utils.py and handle missing file path error in Vertex class
* Fix tweak value assignment in process.py and clear session cache in test_process.py
* New lock
* Update repository URLs and fix file paths in code blocks
* Fix data retrieval in test_pickle_graph and test_pickle_each_vertex in test_graph.py
* Refactor load_starter_projects function to include type hinting in setup.py
* Update name of Basic Prompting (Hello, world!) project to Basic Prompting (Hello, World)
* Refactor Graph.process() method to accept start_component_id parameter
* Refactor test_endpoints.py to use "Chat Output" instead of "Prompt Output" and "ChatOutput" instead of "TextOutput"
* re-add --fix
* Add PythonREPLToolComponent to tools/__init__.py and create PythonREPLTool.py
* Refactor PythonREPLToolComponent to use build_status_from_tool in PythonREPLTool.py
* Refactor model_specs imports in ChatLiteLLMSpecs.py
* Refactor imports in various files
* Refactor model_specs imports and class names in AnthropicLLMSpecs.py and AnthropicSpecs.py
This pull request introduces comprehensive new tests for our components,
significantly improving our project's test coverage. In addition to the
new component tests, this PR addresses and resolves several issues that
were affecting our general test suite, enhancing its reliability and
efficiency.
* Update model kwargs and temperature values
* Update keyboard shortcuts for advanced editing
* make Message field have no handles
* Update OpenAI API Key handling in OpenAIEmbeddingsComponent
* Remove unnecessary field_type key from CustomComponent class
* Update required field behavior in CustomComponent class
* Refactor AzureOpenAIModel.py: Removed unnecessary "required" attribute from input parameters
* Update BaiduQianfanChatModel and OpenAIModel configurations
* Fix range_spec step type validation
* Update RangeSpec step_type default value to "float"
* Fix Save debounce
* Update parameterUtils to use debounce instead of throttle
* Update input type options in schemas and graph base classes
* Refactor run_flow_with_caching endpoint to include simplified and experimental versions
* Add PythonFunctionComponent and test case for it
* Add nest_asyncio to fix event loop issue
* Refactor test_initial_setup.py to use RunOutputs instead of ResultData
* Remove unused code in test_endpoints.py
* Add asyncio loop to uvicorn command
* Refactor load_session method to handle coroutine result
* Fixed saving
* Fixed debouncing
* Add InputType and OutputType literals to schema.py
* Update input type in Graph class
* Add new schema for simplified API request
* Add delete_messages function and update test_successful_run assertions
* Add STREAM_INFO_TEXT constant to model components
* Add session_id to simplified_run_flow_with_caching endpoint
* Add field_typing import to OpenAIModel.py
* update starter projects
* Add constants for Langflow base module
* Update setup.py to include latest component versions
* Update Starter Examples
* sets starter_project fixture to Basic Prompting
* Refactor test_endpoints.py: Update test names and add new tests for different output types
* Update HuggingFace Spaces link and add image for dark mode
* Remove filepath reference
* Update Vertex params in base.py
* Add tests for different input types
* Add type annotations and improve test coverage
* Add duplicate space link to README
* Update HuggingFace Spaces badge in README
* Add Python 3.10 installation requirement to README
* Refactor flow running endpoints
* Refactor SimplifiedAPIRequest and add documentation for Tweaks
* Refactor input_request parameter in simplified_run_flow function
* Add support for retrieving specific component output
* Add custom Uvicorn worker for Langflow application
* Add asyncio loop to LangflowApplication initialization
* Update Makefile with new variables and start command
* Fix indentation in Makefile
* Refactor run_graph function to add support for running a JSON flow
* Refactor getChatInputField function and update API code
* Update HuggingFace Spaces documentation with duplication process
* Add asyncio event loop to uvicorn command
* Add installation of backend in start target
* udpate some starter projects
* Fix formatting in hugging-face-spaces.mdx
* Update installation instructions for Langflow
* set examples order
* Update start command in Makefile
* Add installation and usage instructions for Langflow
* Update Langflow installation and usage instructions
* Fix langflow command in README.md
* Fix broken link to HuggingFace Spaces guide
* Add new SVG assets for blog post, chat bot, and cloud docs
* Refactor example rendering in NewFlowModal
* Add new SVG file for short bio section
* Remove unused import and add new component
* Update title in usage.mdx
* Update HuggingFace Spaces heading in usage.mdx
* Update usage instructions in getting-started/usage.mdx
* Update cache option in usage documentation
* Remove 'advanced' flag from 'n_messages' parameter in MemoryComponent.py
* Refactor code to improve performance and readability
* Update project names and flow examples
* fix document qa example
* Remove commented out code in sidebars.js
* Delete unused documentation files
* Fix bug in login functionality
* Remove global variables from components
* Fix bug in login functionality
* fix modal returning to input
* Update max-width of chat message sender name
* Update styling for chat message component
* Refactor OpenAIEmbeddingsComponent signature
* Update usage.mdx file
* Update path in Makefile
* Add new migration and what's new documentation files
* Add new chapters and migration guides
* Update version to 0.0.13 in pyproject.toml
* new locks
* Update dependencies in pyproject.toml
* general fixes
* Update dependencies in pyproject.toml and poetry.lock files
* add padding to modal
* ✨ (undrawCards/index.tsx): update the SVG used for BasicPrompt component to undraw_short_bio_re_fmx0.svg to match the desired design
♻️ (undrawCards/index.tsx): adjust the width and height of the BasicPrompt SVG to 65% to improve the visual appearance
* Commented out components/data in sidebars.js
* Refactor component names in outputs.mdx
* Update embedded chat script URL
* Add data component and fix formatting in outputs component
* Update dependencies in poetry.lock and pyproject.toml
* Update dependencies in poetry.lock and pyproject.toml
* Refactor code to improve performance and readability
* Update dependencies in poetry.lock and pyproject.toml
* Fixed IO Modal updates
* Remove dead code at API Modal
* Fixed overflow at CodeTabsComponent tweaks page
* ✨ (NewFlowModal/index.tsx): update the name of the example from "Blog Writter" to "Blog Writer" for better consistency and clarity
* Update dependencies versions
* Update langflow-base to version 0.0.15 and fix setup_env script
* Update dependencies in pyproject.toml
* Lock dependencies in parallel
* Add logging statement to setup_app function
* Fix Ace not having type="module" and breaking build
* Update authentication settings for access token cookie
* Update package versions in package-lock.json
* Add scripts directory to Dockerfile
* Add setup_env command to build_and_run target
* Remove unnecessary make command in setup_env
* Remove unnecessary installation step in build_and_run
* Add debug configuration for CLI
* 🔧 chore(Makefile): refactor build_langflow target to use a separate script for updating dependencies and building
✨ feat(update_dependencies.py): add script to update pyproject.toml dependency version based on langflow-base version in src/backend/base/pyproject.toml
* Add number_of_results parameter to AstraDBSearchComponent
* Update HuggingFace Spaces links
* Remove duplicate imports in hugging-face-spaces.mdx
* Add number_of_results parameter to vector search components
* Fixed supabase not commited
* Revert "Fixed supabase not commited"
This reverts commit afb10a6262.
* Update duplicate-space.png image
* Delete unused files and components
* Add/update script to update dependencies
* Add .bak files to .gitignore
* Update version numbers and remove unnecessary dependencies
* Update langflow-base dependency path
* Add Text import to VertexAiModel.py
* Update langflow-base version to 0.0.16 and update dependencies
* Delete start projects and commit session in delete_start_projects function
* Refactor backend startup script to handle autologin option
* Update poetry installation script to include pipx update check
* Update pipx installation script for different operating systems
* Update Makefile to improve setup process
* Add error handling on streaming and fix streaming bug on error
* Added description to Blog Writer
* Sort base classes alphabetically
* Update duplicate-space.png image
* update position on langflow prompt chaining
* Add Langflow CLI and first steps documentation
* Add exception handling for missing 'content' field in search_with_vector_store method
* Remove unused import and update type hinting
* fix bug on egdes after creating group component
* Refactor APIRequest class and update model imports
* Remove unused imports and fix formatting issues
* Refactor reactflowUtils and styleUtils
* Add CLI documentation to getting-started/cli.mdx
* Add CLI usage instructions
* Add ZoomableImage component to first-steps.mdx
* Update CLI and first steps documentation
* Remove duplicate import and add new imports for ThemedImage and useBaseUrl
* Update Langflow CLI documentation link
* Remove first-steps.mdx and update index.mdx and sidebars.js
* Update Docusaurus dependencies
* Add AstraDB RAG Flow guide
* Remove unused imports
* Remove unnecessary import statement
* Refactor guide for better readability
* Add data component documentation
* Update component headings and add prompt template
* Fix logging level and version display
* Add datetime import and buffer for alembic log
* Update flow names in NewFlowModal and documentation
* Add starter projects to sidebars.js
* Fix error handling in DirectoryReader class
* Handle exception when loading components in setup.py
* Update version numbers in pyproject.toml files
* Update build_langflow_base and build_langflow_backup in Makefile
* Added docs
* Update dependencies and build process
* Add Admonition component for API Key documentation
* Update API endpoint in async-api.mdx
* Remove async-api guidelines
* Fix UnicodeDecodeError in DirectoryReader
* Update dependency version and fix encoding issues
* Add conditional build and publish for base and main projects
* Update version to 1.0.0a2 in pyproject.toml
* Remove duplicate imports and unnecessary code in custom-component.mdx
* Fix poetry lock command in Makefile
* Update package versions in pyproject.toml
* Remove unused components and update imports
* 📦 chore(pre-release-base.yml): add pre-release workflow for base project
📦 chore(pre-release-langflow.yml): add pre-release workflow for langflow project
* Add ChatLiteLLMModelComponent to models package
* Add frontend installation and build steps
* Add Dockerfile for building and pushing base image
* Add emoji package and nest-asyncio dependency
* 📝 (components.mdx): update margin style of ZoomableImage to improve spacing
📝 (features.mdx): update margin style of ZoomableImage to improve spacing
📝 (login.mdx): update margin style of ZoomableImage to improve spacing
* Fix module import error in validate.py
* Fix error message in directory_reader.py
* Update version import and handle ImportError
* Add cryptography and langchain-openai dependencies
* Update poetry installation and remove poetry-monorepo-dependency-plugin
* Update workflow and Dockerfile for Langflow base pre-release
* Update display names and descriptions for AstraDB components
* Update installation instructions for Langflow
* Update Astra DB links and remove unnecessary imports
* Rename AstraDB
* Add new components and images
* Update HuggingFace Spaces URLs
* Update Langflow documentation and add new starter projects
* Update flow name to "Basic Prompting (Hello, world!)" in relevant files
* Update Basic Prompting flow name to "Ahoy World!"
* Remove HuggingFace Spaces documentation
* Add new files and update sidebars.js
* Remove async-tasks.mdx and update sidebars.js
* Update starter project URLs
* Enable migration of global variables
* Update OpenAIEmbeddings deployment and model
* 📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (rag-with-astradb.mdx): add margin to image styles to improve spacing and readability
* Update welcome message in index.mdx
* Add global variable feature to Langflow documentation
* Reorganized sidebar categories
* Update migration documentation
* Refactor SplitTextComponent class to accept inputs of type Record and Text
* Adjust embeddings docs
* ✨ (cardComponent/index.tsx): add a minimum height to the card component to ensure consistent layout and prevent content from overlapping when the card is empty or has minimal content
* Update flow name from "Ahoy World!" to "Hello, world!"
* Update documentation for embeddings, models, and vector stores
* Update CreateRecordComponent and parameterUtils.ts
* Add documentation for Text and Record types
* Remove commented lines in sidebars.js
* Add run_flow_from_json function to load.py
* Update Langflow package to run flow from JSON file
* Fix type annotations and import errors
* Refactor tests and fix test data
---------
Co-authored-by: Rodrigo Nader <rodrigosilvanader@gmail.com>
Co-authored-by: anovazzi1 <otavio2204@gmail.com>
Co-authored-by: Lucas Oliveira <lucas.edu.oli@hotmail.com>
Co-authored-by: carlosrcoelho <carlosrodrigo.coelho@gmail.com>
Co-authored-by: cristhianzl <cristhian.lousa@gmail.com>
Co-authored-by: Matheus <jacquesmats@gmail.com>
* Initial Restructure
* Replace import langflow for import langflow_base
* Fix dependencies
* 🔧 chore(Makefile): refactor build process to separate base and frontend builds for better organization and maintainability
* 🚀 chore(Makefile): update build_frontend command to copy frontend build to the correct directory
🔖 chore(pyproject.toml): update python and httpx dependencies versions
🔧 chore(__init__.py): update import statement for load_flow_from_json function
* 🔖 chore(pyproject.toml): update package version from 0.0.6 to 0.0.8 to reflect changes in the codebase
* 🚀 feat(server.ts): change port variable case from lowercase port to uppercase PORT to improve semantics
🚀 feat(server.ts): add support for process.env.PORT environment variable to be able to run app on a configurable port
* 🐛 fix(server.ts): change port variable case from lowercase port to uppercase PORT to improve semantics
✨ feat(server.ts): add support for process.env.PORT environment variable to be able to run app on a configurable port
🚚 chore(pyproject.toml): update langflow-base version from 0.0.8 to 0.0.10
✨ feat(server.ts): add new agent component LCAgentComponent to langflow_base
✨ feat(server.ts): add new model component LCModelComponent to langflow_base
✨ feat(server.ts): add new helper functions docs_to_records and records_to_text to langflow_base
✨ feat(server.ts): add new flow helper functions list_flows, load_flow, run_flow, generate_function_for_flow, get_flow_inputs, build_schema_from_inputs to langflow_base
✨ feat(server.ts): add new prompt component PromptComponent to langflow_base
✨ feat(server.ts): add new chat components ChatInput and ChatOutput to langflow_base
✨ feat(server.ts): add new model component OpenAIModelComponent to langflow_base
🚚 chore(main.py): update import path from langflow.main to langflow_base.main
🚚 chore(service.py): update import path from langflow.services.database.manager to langflow_base.services.database.manager
🚚 chore(factory.py): update import path from langflow.services to langflow_base.services
🚚 chore(service.py): update import path from langflow.services.plugins to langflow_base.services.plugins
🚚 chore(utils.py): update import path from langflow.services to langflow_base.services
🚚 chore(validate.py): update import path from langflow.field_typing to langflow_base.field_typing
🚚 chore(pyproject.toml): update langflow-base version from 0.0.8 to 0.0.10
* Update Makefile to install backend dependencies and build langflow
* Add langflow main module and update __init__.py
* Update langflow install process to use implicit namespace
* Add langflow-base as a local dependency
* Add setup_poetry target to Makefile
* Update Poetry version and add poetry-monorepo-dependency-plugin
* Refactor code to improve performance and readability
* Update imports to custom and load
* Update content-hash in poetry.lock
---------
Co-authored-by: Matheus <jacquesmats@gmail.com>
Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@logspace.ai>
