Added a new animation for the "开始通话" button on the mobile call page, providing a visual ripple effect to improve user experience. Adjusted layout for better clarity and responsiveness.
Show ellipsis page controls when lists grow large, and make mobile call start manual with clearer hangup layout and assistant name.
Co-authored-by: Cursor <cursoragent@cursor.com>
- Introduced new utility functions `settingsFromWorkflowGraph` and `workflowGraphWithSettings` to encapsulate settings extraction and graph updates.
- Updated `useWorkflowEditorState` to utilize the new utility functions for improved clarity and maintainability.
- Refactored `AssistantPage` and `WorkflowCanvas` components to leverage the new settings management functions, ensuring consistent handling of workflow settings across the application.
- Removed redundant settings handling code, enhancing overall code cleanliness.
- Extend McpTransport to support "sse" in schemas.
- Refactor McpToolClient to handle both "streamable_http" and "sse" transports.
- Introduce McpServerDialog for managing MCP server configurations, including transport settings and tool synchronization.
- Replace McpServersSection with the new dialog component for improved server management.
- Add tests for MCP transport handling and server dialog functionality.
- Remove the draftAgentPlatform state and related logic, simplifying the creation process for assistant types.
- Default the agent platform to "dify" when creating an assistant of type "智能体平台".
- Replace the platform selection buttons with a ResourceSelectField for improved user experience and maintainability.
- Update the confirmType function to reflect the changes in platform handling.
- Introduce WorkflowAgentStage to manage agent stage configurations and enhance interaction with the workflow engine.
- Implement WorkflowEdgeEvaluator for priority-aware edge evaluation, improving routing decisions based on conditions and user turns.
- Update WorkflowBrain to handle user turns and routing more effectively, ensuring agents cannot have only one default path.
- Enhance CallEndCoordinator to track speech events and manage call termination based on queued speech.
- Add new models and output handling for workflow interactions, improving clarity and maintainability.
- Update tests to validate the new routing logic and agent behavior under various scenarios.
- Update WorkflowBrain to handle greeting playback more effectively, ensuring that the initial greeting completes before transitioning to the first node.
- Introduce new methods for managing greeting states and conditions, enhancing the interaction flow for user turns.
- Refactor WorkflowLLMRouter to improve routing logic and ensure proper handling of conditional paths.
- Enhance tests to verify the correct behavior of greeting management and routing under various scenarios, including waiting for audio playback to finish.
- Update frontend components to reflect changes in edge handling and improve user experience in workflow configurations.
- Remove unused FastGpt and Dify form types, consolidating them into a single AgentPlatformForm.
- Update type definitions and state management to accommodate the new agent platform structure.
- Modify functions to handle agent platform forms and ensure proper integration with existing workflows.
- Enhance assistant type options and update related logic for improved clarity and maintainability.
- Adjust border radius calculation in GenericNode for better visual consistency.
- Update displayed text in GenericNode to enhance localization by removing the English label.
- Remove unused imports and classes from pipeline.py to streamline the codebase.
- Consolidate dynamic variable handling and workflow management in AssistantPage, enhancing clarity and maintainability.
- Update WorkflowEditor to utilize a more modular approach, improving the overall architecture and reducing complexity.
- Enhance the import structure across components for better organization and readability.
- Update ConversationRecorder to include source and nodeId metadata in transcripts for better context tracking.
- Introduce optional variable handling in DynamicVariableStore, allowing for unset variables to be rendered as empty without raising errors.
- Refactor WorkflowBrain to apply turn configurations and manage interaction policies dynamically, improving agent responsiveness.
- Implement tests to ensure proper handling of updated session variables and workflow metadata in various scenarios.
- Introduce WorkflowLLMRouter for pre-response LLM routing, allowing agents to determine the appropriate function to call based on user input.
- Implement UserTurnRoutingProcessor to manage user turns before reaching the LLM, ensuring proper routing and handling of user messages.
- Refactor WorkflowBrain to integrate new routing logic and enhance agent stage configuration, including entry modes and resource management.
- Update service factory to support dynamic LLM resource configuration based on workflow settings.
- Add tests for new routing functionality and ensure proper handling of user messages in various scenarios.
- Introduce RuntimeModelResource and RuntimeKnowledgeBase classes to manage workflow resources.
- Update AssistantConfig to include workflow_model_resources and workflow_knowledge_bases for better integration.
- Refactor validation and processing logic in routes and services to accommodate workflow types.
- Implement dynamic variable support for workflow assistants and enhance graph normalization.
- Add ToolExecutor for reusable tool execution across different assistant types.
- Update various services to ensure compatibility with new workflow features and improve error handling.
- Change the placeholder text in LoginPage from "admin" to "请输入用户名" for better localization.
- Adjust the styling of the floating video panel in MobileCallPage to improve responsiveness and maintain aspect ratio across different screen sizes.
- Update LoginPage to initialize username state as an empty string for improved user experience.
- Introduce floatingVideoRef in MobileCallVisualWorkspace to dynamically manage video panel positioning.
- Adjust position calculations for the floating video panel to account for its dimensions, enhancing drag-and-drop functionality and ensuring proper placement within the viewport.
- Update CallView type from "camera" to "video" for clarity.
- Introduce MobileVideoSurface component to handle video stream rendering.
- Implement MobileCallVisualWorkspace for managing chat and video views with drag-and-drop functionality for the video panel.
- Refactor state management to streamline view transitions between chat and video modes.
- Enhance network metrics handling in useVoicePreview for better performance monitoring during calls.
- Remove the SegmentedIconGroup for view selection and streamline view handling in DebugDrawer.
- Introduce DebugVisionWorkspace component to manage video and chat views more effectively.
- Update DebugVoicePanel to accept onViewChange prop for better view state management.
- Enhance video handling with dynamic positioning and drag functionality for the floating video panel.
- Remove direct camera start/stop calls and replace them with streamlined video stream handling.
- Update DebugVideoPanel to accept a streamOverride for better flexibility in video source management.
- Adjust MobileCallPage to utilize the new videoStream state, enhancing the call experience.
- Introduce videoStream state management in useVoicePreview for improved media handling during voice interactions.
- Add new HTTP endpoints for handling WebRTC offers and ICE candidates, enhancing the signaling process for voice interactions.
- Introduce dynamic variable decoding from request headers to support flexible offer payloads.
- Refactor existing WebSocket handling to accommodate new offer processing logic.
- Update frontend dependencies to include Pipecat client libraries for improved WebRTC transport management.
- Streamline voice preview functionality by integrating SmallWebRTCTransport for better media handling.
- Introduce dynamic variable definitions in AssistantConfig and Assistant models, allowing for flexible prompt customization.
- Implement validation for dynamic variable names and types in the schema.
- Update backend services and routes to handle dynamic variables in assistant configurations and runtime processing.
- Enhance frontend components to support dynamic variable definitions, including a new editor for managing variables.
- Add tests to ensure proper functionality and validation of dynamic variables in various scenarios.
- Introduce new fields for knowledge retrieval configuration in AssistantConfig and Assistant models, including mode, top_n, and score_threshold.
- Implement KnowledgeRetrievalConfig schema with validation for top_n.
- Update backend services and routes to handle knowledge retrieval settings.
- Enhance frontend components to support knowledge retrieval configuration, including a new dialog for advanced settings.
- Add tests for knowledge retrieval configuration validation and description generation.
