✨ (routes.tsx): implement lazy loading for route components to improve
performance
✨ (routes.tsx): add Suspense fallback with LoadingComponent for better
UX during lazy loading
The OpenAIModelComponent class in OpenAIModel.py has been updated to use the float type for the temperature parameter instead of the Optional[float] type. This change ensures consistency and improves code readability. The default value for the temperature parameter remains unchanged at 0.1.
Note: The commit message has been generated based on the provided code changes and recent commits.
The DatabaseService class in service.py has been updated to use the settings_service object for retrieving the database URL instead of directly passing it as a parameter. This change improves code organization and ensures consistency with other services that rely on the settings_service. The necessary modifications have been made in both the DatabaseService class and the DatabaseServiceFactory class.
Note: The commit message has been generated based on the provided code changes and recent commits.
The DatabaseService class in service.py has been updated to use the pool_size and max_overflow settings from the SettingsService. This change allows for better control over the number of connections in the connection pool and the number of connections that can be opened beyond the pool size. The commit also includes necessary modifications to the create_engine function to pass the pool_size and max_overflow parameters.
Note: The commit message has been generated based on the provided code changes and recent commits.
The process_tweaks function in endpoints.py has been updated to include a new stream parameter. This change allows for more flexibility in processing tweaks based on the stream value. The commit also includes necessary modifications to the simple_run_flow function to pass the stream parameter to the process_tweaks function.
Note: The commit message has been generated based on the provided code changes and recent commits.
The getCurlRunCode function in get-curl-code.tsx has been updated to export it as a named export instead of the default export. This change improves the code organization and allows for better import statements in other modules.
Note: The commit message has been generated based on the provided code changes and recent commits.
* 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
The package versions in the pyproject.toml files for "langflow" and "langflow-base" have been updated. The version of "langflow" was changed from 1.0.0a42 to 1.0.0a43, and the version of "langflow-base" was changed from 0.0.53 to 0.0.54. This update ensures that the latest versions of the packages are being used in the codebase.
Note: The commit message has been generated based on the provided code changes and recent commits.
The serialize_datetime function in model.py has been updated to handle the "updated_at" and "created_at" fields. The function now converts datetime values to ISO 8601 format with timezone information. This change ensures consistent serialization of datetime values in the codebase.
Note: The commit message has been generated based on the provided code changes and recent commits.
* chore: Update utils.py to handle SecretStr field type as str with password and load_from_db attributes
* Update utils.py to handle SecretStr field type as str with password and load_from_db attributes
* docs(migration): add UPSTASH_VECTOR_REST_URL and UPSTASH_VECTOR_REST_TOKEN to the list of default environment variables
pyproject.toml: add upstash-vector package as a dependency with version 0.4.0
src/backend/base/langflow/components/vectorsearch/UpstashSearch.py: create UpstashSearchComponent for implementing a Vector Store using Upstash
src/backend/base/langflow/components/vectorstores/Upstash.py: create UpstashVectorStoreComponent for implementing a Vector Store using Upstash
src/backend/base/langflow/services/settings/constants.py: add UPSTASH_VECTOR_REST_URL and UPSTASH_VECTOR_REST_TOKEN to the list of variables to get from the environment
* ✨ (UpstashSearch.py): Add support for 'number_of_results' and 'text_key' parameters in UpstashSearchComponent to enhance search functionality
♻️ (Upstash.py): Refactor UpstashVectorStoreComponent to include 'text_key' parameter for consistency and improved functionality
* ♻️ (Upstash.py): refactor UpstashVectorStoreComponent to improve code readability and maintainability by restructuring the instantiation of UpstashVectorStore instances based on conditions and adding support for adding documents directly to the instance.
* feat: Update langchain-core, langchainhub, langsmith, and requests dependencies to latest versions
* 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
* ♻️ (dictComponent): improve value change detection logic
🐛 (parameterComponent): remove unnecessary console.log statement
* ♻️ (frontend): remove redundant comments and clean up code formatting
♻️ (editNodeModal): refactor to use nodeId instead of passing data directly
* ♻️ (editNodeModal): refactor to use data prop instead of nodeId for better data handling
♻️ (nodeToolbarComponent): refactor to improve code readability and consistency
📝 (OllamaModel.py): Update comments and docstrings for clarity and consistency
🔧 (OllamaModel.py): Refactor the logic for setting the base URL in the get_model method to improve maintainability and readability
* refactor(base.py): handle ImportError when importing is_pre_release function from langflow.version module to prevent crashing the application
feat(base.py): dynamically determine if the version is a pre-release version by checking for 'a', 'b', or 'rc' in the version number
* fix(Dockerfile): add missing backslash to ensure proper chaining of commands
* refactor: Update get_lifespan function to handle ImportError and dynamically determine the version number
The get_lifespan function in main.py has been updated to handle ImportError when importing the __version__ attribute from the langflow.version module. If the import fails, the version number is dynamically determined using the importlib.metadata.version function. This change ensures that the application does not crash when the langflow.version module is not available.
Note: This commit message follows the convention used in the recent user commits.
* chore: Add langflow-pre.db and langflow.db to .dockerignore
* chore: Update .dockerignore to include langflow-pre.db and langflow.db
* refactor: Add folder_id column to flow table and handle folder column migration
This commit adds the folder_id column to the flow table in the database. It also handles the migration of the folder column to the new folder_id column. This change allows for better organization and management of flows within folders.
Note: This commit message follows the convention used in the recent user commits.
* refactor: Update Dockerfiles to include user creation and environment variable
This commit updates the Dockerfiles to include the creation of a user with UID 1000 and the necessary permissions for the /app/langflow directory. It also adds the user's local bin directory to the PATH environment variable. This change improves the security and isolation of the application within the container.
Note: This commit message follows the convention used in the recent user commits.
* chore: Update utils imports and add cn to nodeToolbarComponent
* fix(utils.py): change key parameter name from 'flow_id' to 'key' for consistency
fix(chat.py): remove unused import 'functools.partial' to improve code readability
refactor(chat.py): remove 'set_cache_coro' partial function and pass 'chat_service' directly to 'build_vertex' method for better code organization
feat(schemas.py): add 'used_frozen_result' field to ResultDataResponse and ResultData classes with default value of False for better tracking of frozen result usage
feat(base.py): add 'chat_service' parameter to 'build_vertex' method in Graph class to allow passing ChatService instance for cache operations
feat(base.py): update 'build_vertex' method in Graph class to handle caching of frozen vertices and set 'used_frozen_result' flag in ResultData class
feat(cache/service.py): change parameter name from 'flow_id' to 'key' in 'set_cache' and 'get_cache' methods for consistency
feat(cache/utils.py): add 'CacheMiss' class to represent cache miss situations for better error handling
* feat: Add check for None before setting 'used_frozen_result' flag in Graph class
* feat: Add frozen effect to buttons and improve code organization
The code changes introduce a frozen effect to buttons by adding new CSS classes and styles. This effect is achieved by applying borders, shadows, and background colors. Additionally, the code is refactored to improve code organization and remove unused imports.
Note: This commit message follows the convention used in the recent user commits.
* feat: Add frozen effect to buttons and improve code organization
* style(applies.css): Update border styles for frozen state to improve visual appearance and consistency
style(applies.css): Adjust opacity of frosted background for better readability
style(tailwind.config.js): Increase opacity of frozen-ring shadow for better visual effect
style(tailwind.config.js): Increase opacity of frosted-ring shadow for better visual effect
* feat(parameterComponent): add snowflake icon to ParameterComponent when node is frozen and not aligned left
* style(applies.css): Update border styles for frozen state and add border to improve visual appearance and consistency
* chore: Add type attribute to button in SecretKeyModal
* chore: Refactor Header component to fix autoLogin button visibility
* docs(api.mdx): update admonition message to remove reference to LANGFLOW_AUTO_LOGIN environment variable
docs(cli.mdx): update CLI command example to use 'run' subcommand instead of no arguments
feat(cli.mdx): add 'api-key' command to create API key for default superuser when LANGFLOW_AUTO_LOGIN is True
* docs(api.mdx): update admonition message to remove reference to LANGFLOW_AUTO_LOGIN environment variable
* chore: Fix typo in get-curl-code.tsx
---------
Co-authored-by: anovazzi1 <otavio2204@gmail.com>
* Update OllamaModel.py
A draft to synchronize the model using the latest Langflow architecture and to improve it according to the latest Langchain specifications.
* Update OllamaModel.py
Checkout Models from api
* Update OllamaModel.py
* Update OllamaModel.py
---------
Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org>
* Fixed shortcuts not working on mac
* fixed top level vertices and added timeout
* revert flowStore changes
* chore: Update worker timeout setting
* feat: Add endpoint to retrieve config settings
The commit adds a new endpoint `/config` to retrieve the configuration settings. This endpoint returns the `ConfigResponse` model, which includes the `timeout` value. The implementation handles any exceptions and logs them appropriately.
* feat: Add fetchConfig function to retrieve configuration settings
This commit adds a new function fetchConfig to the API utils module. The function makes an HTTP GET request to the /config endpoint and returns the configuration data. Any errors that occur during the request are logged and rethrown. This function will be used to initialize the application with the fetched configuration.
Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org>
* revert changes
* feat: Add setupAxiosDefaults function to initialize Axios configurations
This commit adds a new function setupAxiosDefaults to the API utils module. The function fetches the configuration data using the fetchConfig function and sets up default configurations for Axios. It sets the base URL and timeout for Axios requests based on the fetched configuration. This function will be used to initialize Axios with the correct configurations.
Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org>
* fix(langflow): rename 'timeout' setting to 'worker_timeout' for clarity and consistency
feat(langflow): add 'frontend_timeout' setting to control frontend API call timeout
chore(langflow): reorganize imports and constants in settings module for better readability
* Set frontend_timeout to 0
---------
Co-authored-by: ogabrielluiz <gabriel@langflow.org>
The code changes in `ChromaSearch.py` and `Chroma.py` import the `chromadb` library and use it to create a `HttpClient` object. This change enables the components to interact with a Chroma server for vector search functionality.
This commit message follows the established convention of starting with a type (feat for feature) and providing a concise summary of the changes.
* feat(langflow): add utility functions to build records from run outputs and result data for better code organization and reusability
* chore: Generate dynamic flow function with user ID parameter for better flow customization and tracking
* chore: Refactor build_records_from_run_outputs and build_records_from_result_data for better code organization and reusability
* chore: Update FlowToolComponent to include user ID parameter in build_function_and_schema method call
* chore: Add conditional check for result_data in build_records_from_run_outputs
* chore: Generate dynamic flow function with optional user ID parameter for better flow customization and tracking
* feat: Add user ID parameter to Graph.from_payload method
* chore: Add FlowTool class for flow processing and customization
* chore: Update FlowToolComponent to use get_flow_inputs instead of build_function_and_schema
* chore: Update FlowTool to handle optional user ID parameter
* chore: Update pyproject.toml versions for langflow and langflow-base
* feat(workflows): add Docker Build and Push workflow to automate building and pushing Docker images based on release type and version
feat(workflows): add Pre-release workflow to automate releasing Langflow packages based on release type and version
feat(workflows): create workflow to call Docker Build workflow and handle release creation based on release type
* chore: Update dockerfile paths and branch name in render.yaml and release.yml
* chore(readthedocs.yaml): remove .readthedocs.yaml file as it is no longer needed
chore(base.Dockerfile): remove base.Dockerfile as it is no longer used in the project
feat(cdk-docker-compose.yml): add cdk-docker-compose.yml file to set up docker-compose for backend and frontend services
* move dockerignore
* chore: Remove test-results/.last-run.json file
* chore: Cache Node.js dependencies during workflow execution
* chore: Remove npm cache from workflow and cache Node.js dependencies
* chore: Update shardIndex and shardTotal values in typescript_test.yml workflow
* chore: Update Playwright test command with shard and worker options
