* Changed prompts to include info about OpenRAG, change status of As Dataframe and As Vector Store to false on OpenSearch component
* added markdown to onboarding step
* added className to markdown renderer
* changed onboarding step to not render span
* Added nudges to onboarding content
* Added onboarding style for nudges
* updated user message and assistant message designs
* updated route.ts to handle streaming messages
* created new useChatStreaming to handle streaming
* changed useChatStreaming to work with the chat page
* changed onboarding content to use default messages instead of onboarding steps, and to use the new hook to send messages
* added span to the markdown renderer on stream
* updated page to use new chat streaming hook
* disable animation on completed steps
* changed markdown renderer margins
* changed css to not display markdown links and texts on white always
* added isCompleted to assistant and user messages
* removed space between elements on onboarding step to ensure smoother animation
* removed opacity 50 on onboarding messages
* changed default api to be langflow on chat streaming
* added fade in and color transition
* added color transition
* Rendered onboarding with use-stick-to-bottom
* Added use stick to bottom on page
* fixed nudges design
* changed chat input design
* fixed nudges design
* made overflow be hidden on main
* Added overflow y auto on other pages
* Put animate on messages
* Add source to types
* Adds animate and delay props to messages
Introduces the CONNECTOR_TYPE_URL environment variable to docker-compose files and assets, updates the OpenRAG URL ingestion flow to use it, and ensures it is set in the auth service global variables. This enables explicit configuration and handling of URL-based connectors in the OpenRAG system.
Replaces the File component with a new OpenSearch hybrid search component in the ingestion flow, adds support for document metadata, and updates flow edges for DataFrame operations. Updates OpenSearch component implementation with advanced authentication, metadata handling, and vector store features. Docker Compose files and related service references are also updated to support the new OpenSearch integration.
Added a new flow definition for OpenRAG with OpenSearch hybrid search in flows/openrag_url_mcp.json. Updated .gitignore to allow tracked JSON files in the flows directory while ignoring others.
Changed Dockerfile.langflow to use the 'test-openai-responses' branch. Improved file handling in ChatInput, updated ChatOutput to fix source property unpacking, and made AgentComponent use LCToolsAgentComponent._base_inputs. Also updated code hashes, dependency versions, and metadata timestamps in openrag_agent.json.
* changed tooltip stype
* added start on label wrapper
* changed switch to checkbox on openai onboarding and changed copies
* made border be red when api key is invalid
* Added embedding configuration after onboarding
* changed openrag ingest docling to have same embedding model component as other flows
* changed flows service to get flow by id, not by path
* modify reset_langflow to also put right embedding model
* added endpoint and project id to provider config
* added replacing the model with the provider model when resetting
* Moved consts to settings.py
* raise when flow_id is not found
Switched OpenRAG backend and frontend in docker-compose.yml to use local Dockerfile builds instead of remote images. Updated environment variables for better clarity and system integration. In flows/openrag_agent.json and langflow_file_service, improved handling of docs_metadata to support Data objects and added logging for metadata ingestion. Added agent_llm edge to agent node in flow definition.
Added OWNER, OWNER_NAME, OWNER_EMAIL, and CONNECTOR_TYPE environment variables to docker-compose.yml and updated LANGFLOW_VARIABLES_TO_GET_FROM_ENVIRONMENT accordingly. Modified ingestion_flow.json to adjust node selection and className, and cleared a sensitive value. Added logging for metadata tweaks in langflow_file_service.py for better traceability.
Updated the OpenSearchVectorStoreComponent to improve document metadata ingestion, including support for Data objects in docs_metadata. Added new edges and nodes to ingestion_flow.json for dynamic metadata input. Changed Dockerfile.langflow to use the fix-file-component branch.
* Changed flows and components to support different models
* Changed onboarding to redirect automatically
* Added new components and ids to settings
* Changed flows service to change llm text components as well
* changed models service to not remove : on ollama
* fix edge not connecting on nudges flow
This commit modifies the ingestion flow JSON by adding support for user-defined metadata through the "docs_metadata" input field, improving the context for document ingestion. Additionally, it updates the selection state of a node and adjusts the viewport settings for better layout. These changes enhance the overall functionality and clarity of the component configurations, aligning with best practices for robust async development.
This commit modifies the ingestion flow JSON by adjusting the position of nodes for better layout, adding a new input field for ingestion metadata, and updating the code hash. These changes improve the clarity and functionality of the component configurations, aligning with best practices for robust async development and enhancing the overall user experience.
