🔥 chore(endpoints.py): remove unused import of langflow.worker.process_graph_cached_task
🔀 chore(endpoints.py): refactor process_flow function to handle different result types from task_service.launch_task
🔧 fix(manager.py): change return type annotation of launch_task method to handle both Coroutine and Any types
🔧 fix(worker.py): add missing import for Result class from process module and update return statement to return Result object as dictionary
🐛 fix(endpoints.py): remove unused import and type hinting to improve code readability and maintainability
🐛 fix(endpoints.py): fix incorrect import statement for TaskService
🐛 fix(endpoints.py): fix incorrect return value for get_task_status function
✨ feat(endpoints.py): add test case for async task processing to validate task completion and result
🔧 chore(docker-compose.yml): add support for loading environment variables from .env file for the proxy service
🔧 chore(docker-compose.yml): add support for loading environment variables from .env file for the backend service
🔧 chore(docker-compose.yml): add support for loading environment variables from .env file for the pgadmin service
🔧 chore(docker-compose.yml): add support for loading environment variables from .env file for the queue service
🔧 chore(docker-compose.yml): add support for loading environment variables from .env file for the celeryworker service
🔧 chore(docker-compose.yml): add support for loading environment variables from .env file for the flower service
🔧 chore(docker-compose.yml): add support for loading environment variables from .env file for the frontend service
🔧 chore(docker-compose.yml): add support for loading environment variables from .env file for the prometheus service
🔧 chore(docker-compose.yml): add support for loading environment variables from .env file for the grafana service
🔧 chore(docker-compose.yml): add build configuration to flower service to use base.Dockerfile for building the image
🔧 chore(docker-compose.yml): update command for flower service to use the correct broker URL and set the port to 5555
🔧 chore(docker-compose.yml): remove unnecessary comment at the end of the file
🐛 fix(base.py): ignore type error for AsyncResult import to avoid linting issues
🐛 fix(worker.py): ignore type error for SoftTimeLimitExceeded import to avoid linting issues
✨ feat(worker.py): add conditional clearing of session cache based on clear_cache flag to improve performance
🔒 chore(celery.py): add check for delay method existence in launch_task to prevent errors
🔒 chore(celery.py): change get_task return type hint to Any to match actual return type
✨ feat(test_endpoints.py): add test_basic_chat_with_two_session_ids_and_names to test the functionality of handling multiple session IDs and names in the chat endpoint
🐛 fix(process.py): update session_manager.update_session() method signature to match the new implementation
🐛 fix(worker.py): update session_manager.update_session() method signature to match the new implementation
🐛 fix(test_process.py): update session_manager.build_key() and session_manager.clear_session() method calls to match the new implementation
🔧 chore(manager.py): refactor generate_key method to use a separate build_key method for better separation of concerns
🔧 chore(manager.py): refactor update_session method to use the build_key method for better separation of concerns
🔧 chore(manager.py): refactor clear_session method to use the build_key method for better separation of concerns
🔧 chore(manager.py): add type hinting for cache_manager parameter in the __init__ method for better code clarity
ℹ️ This commit adds a new node called "Basic Chat with Prompt and History (2)" to the chat application. This node is responsible for creating a simple chat interface with a custom prompt template and a conversational memory buffer.
The node configuration includes various properties such as callbacks, cache, client, max_retries, max_tokens, metadata, model_kwargs, model_name, n, openai_api_base, openai_api_key, openai_organization, openai_proxy, and more.
This new node enhances the chat functionality by providing a more interactive and dynamic chat experience for users.
📝 chore(tests): add BasicChatwithPromptandHistory.json test data file for testing purposes
🔧 fix(test_endpoints.py): remove unused imports and trailing whitespace
✅ test(test_endpoints.py): add test for basic chat in process endpoint to verify correct response and session_id generation
✅ test(test_endpoints.py): add test for basic chat with different session_ids to verify correct response
✅ test(test_endpoints.py): add test for basic chat with two session_ids and names to verify correct response
