- 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.
- Update the main knowledge page to support a list mode.
- Add new pages for creating and editing knowledge bases, utilizing the ComponentsKnowledgePage component with appropriate modes.
- Introduce a new API method for retrieving knowledge base details by ID.
- Enhance the ComponentsKnowledgePage to handle different modes (list, create, edit) and improve user interaction with knowledge bases.
- Add new models for `KnowledgeDocument` and `KnowledgeChunk` to manage document ingestion and chunking.
- Implement S3-compatible storage integration for knowledge documents, allowing for file uploads and retrieval.
- Introduce API endpoints for managing knowledge bases and documents, including creation, deletion, and searching.
- Update frontend components to support knowledge base configuration and document management, improving user interaction.
- Enhance backend services for knowledge processing and retrieval, ensuring robust handling of document statuses and errors.
- Introduce a new `turnConfig` field in `AssistantConfig` and `Assistant` models to manage user interaction settings.
- Implement `TurnConfig`, `BargeInConfig`, `VadConfig`, and `TurnDetectionConfig` schemas to define turn management strategies.
- Update the backend to handle turn configuration in the database and during assistant operations.
- Enhance frontend components with a `TurnConfigEditor` for configuring turn settings, including VAD and barge-in strategies.
- Modify existing pages to integrate turn configuration, improving user experience and interaction capabilities.
- Introduce a new `NetworkQualityIndicator` component to visually represent network quality status during calls.
- Integrate the `NetworkQualityIndicator` into `AssistantPage` and `MobileCallPage`, enhancing user awareness of connection quality.
- Update `use-voice-preview` hook to manage network quality metrics, improving overall call experience and performance monitoring.
- Introduce a new `Tool` model and `AssistantToolBinding` for managing reusable tools within the application.
- Implement CRUD operations for tools in the new `tools` route, allowing for the creation, retrieval, updating, and deletion of tools.
- Update the `Assistant` model to include a list of tool IDs, enabling assistants to utilize these tools.
- Enhance the backend routes to synchronize tool bindings with assistants, ensuring proper management of tool associations.
- Add frontend components for tool management, including a tool picker in the assistant configuration, improving user experience in tool selection.
- Create a mobile call page to facilitate video calls, integrating camera and microphone selection for enhanced communication capabilities.
- Update API definitions to include tool-related types and operations, ensuring consistency across the application.
- Add a migration script to create the necessary database tables for tools and bindings, supporting the new functionality.
- Extend the AssistantConfig model to include agent_interface_type, agent_values, and agent_secrets for enhanced agent management.
- Update ModelType to include "Agent" for broader capability support.
- Seed new agent models and configurations in the database for Dify, FastGPT, and OpenCode applications.
- Modify the Assistant routes to validate and handle agent capabilities.
- Implement agent resource resolution in the config resolver for runtime configuration.
- Enhance the interface catalog with agent-specific fields and definitions.
- Update frontend components to manage agent configurations, including form handling and state management for agent-related inputs.
- Introduce new fields in AssistantConfig, schemas, and database models to support vision capabilities, including `vision_enabled` and `vision_model_resource_id`.
- Enhance validation logic in routes to ensure proper handling of vision models and their requirements.
- Update the AssistantPage and related frontend components to include options for enabling vision understanding and selecting appropriate vision models.
- Modify database seed scripts to include vision-related data for assistants, ensuring consistent setup.
- Refactor related functions to integrate vision model handling in the audio-visual processing pipeline.
- Add `hasUnsavedChanges` prop to `DebugDrawer` to indicate unsaved changes in the AssistantPage.
- Update `DebugVoicePanel` to display appropriate messages and disable actions when there are unsaved changes.
- Refactor related components to ensure consistent handling of unsaved changes across the AssistantPage, improving user experience during interactions.
- Introduce a new `support_image_input` field in model resources, allowing models to indicate support for image input.
- Update the backend models, schemas, and database seed scripts to accommodate the new field.
- Enhance the AssistantConfig and related routes to handle image input capabilities, ensuring proper validation and error handling.
- Modify the frontend components to include toggles for enabling visual understanding and filtering models based on image input support.
- Implement necessary adjustments in the voice preview and pipeline to integrate video stream handling alongside audio functionalities.
- Introduce a new utility class `.scrollbar-subtle` in `globals.css` for a refined scrollbar appearance.
- Update `AssistantPage` to apply the subtle scrollbar styling to overflow containers, enhancing the user interface.
- Reset message state and sequence in `useVoicePreview` hook upon resource release, ensuring clean state management.
- Add a new `useCameraPreview` hook for managing camera access and video stream handling.
- Integrate camera preview capabilities into the AssistantPage, allowing users to toggle video stream visibility.
- Introduce a new toggle for enabling visual understanding, which activates the video stream preview alongside voice functionalities.
- Update the DebugDrawer component to support switching between chat and video views based on the visual understanding setting.
- Refactor related components to accommodate the new camera features and improve user interaction during debugging.
- Add new fields in AssistantConfig for FastGPT connection details, including `fastgpt_api_url`, `fastgpt_api_key`, and `fastgpt_app_id`.
- Update the pipeline to utilize the new FastGPT configuration, ensuring proper integration with external services.
- Introduce type handling for different assistant types, including support for realtime modes and external brain management.
- Refactor frontend components to include hints for FastGPT configuration inputs, improving user guidance during setup.
- Introduce a new WorkflowEngine class to manage workflow graphs, enabling dynamic node-based interactions.
- Update AssistantConfig to include a graph field for workflow definitions, allowing for flexible configuration.
- Modify pipeline execution to support workflow-driven dialogue, integrating node transitions and system prompts based on active nodes.
- Enhance frontend components to visualize active nodes and provide debugging capabilities, including highlighting the current node during interactions.
- Refactor existing components to accommodate new workflow functionalities and improve overall user experience.
- Introduce a new workflow editor component for visualizing and managing workflows, allowing users to add nodes and define connections.
- Implement backend support for node types, including validation and constraints for workflow graphs.
- Add new API endpoints for retrieving node types and their specifications.
- Enhance the AssistantPage to integrate the workflow editor, enabling users to create and edit workflows directly.
- Update frontend components to support new workflow functionalities, including condition edges and generic nodes.
- Refactor existing code to accommodate the new workflow features and improve overall structure.
- Rename `setSelectedDeviceId` to `selectDevice` in `DebugVoicePanel` and `VoiceSessionControls` for clarity and consistency.
- Update `useVoicePreview` hook to implement the `selectDevice` function, enabling dynamic microphone switching during voice sessions.
- Enhance device selection logic to support real-time audio track replacement without requiring session reconnection.
- Introduce a new model structure for managing interface definitions and model resources, enhancing the backend's capability to handle various service integrations.
- Update the Makefile to reflect changes in database seeding and resource management commands.
- Remove the deprecated credentials management routes and replace them with a unified model registry API.
- Modify existing routes and schemas to align with the new model structure, ensuring seamless integration with the frontend.
- Enhance database seeding scripts to populate new model resources and their configurations.
- Update README documentation to reflect the new architecture and usage instructions for model resources and interface definitions.
- Introduce new Xfyun ASR and TTS services, enabling integration with iFlytek's voice recognition and synthesis capabilities.
- Update AssistantConfig model to include interface types for STT and TTS.
- Enhance credential testing to validate Xfyun credentials.
- Modify service factory to create Xfyun services based on configuration.
- Update README with new configuration details for Xfyun integration.
- Add new frontend components for visualizing audio streams and managing user interactions.
- Add audio input selection to DebugVoicePanel, allowing users to choose their microphone device.
- Update useVoicePreview hook to manage available audio inputs and selected device state.
- Enhance device enumeration and selection handling to ensure a seamless user experience during voice interactions.
- Add a new Docker configuration for the UI in launch.json to facilitate development.
- Refactor pipeline.py to integrate a TranscriptProcessor for managing user and assistant transcripts, including event handlers for real-time updates and message handling.
- Update useVoicePreview.ts to establish a data channel for sending and receiving text messages, improving interaction flow.
- Modify AssistantPage.tsx to support displaying chat messages and sending user input, enhancing the user experience during voice interactions.
- Revise DebugTranscriptPanel to dynamically render chat messages with timestamps, improving the visual representation of conversation history.
- Update CLAUDE.md to reflect changes in the navigation model, emphasizing the use of App Router routes for sidebar sections.
- Refactor layout.tsx to wrap children in AppShell, enhancing the overall layout structure.
- Replace AppShell usage in page.tsx with HomePage component for better separation of concerns.
- Introduce new pages for assistants, components, dashboard, history, profile, and test, each rendering their respective components.
- Revise Sidebar component to utilize Next.js Link for navigation and improve active state handling based on the current pathname.
- Update AssistantPage to support routing-driven modes (list, choose, edit) and streamline form handling for assistant creation and editing.
- Update README to reflect the integration of the DebugVoicePanel with WebSocket support for voice interactions.
- Refactor voice_webrtc.py to improve error handling during WebRTC signaling and include assistant_id in the offer payload.
- Add useVoicePreview hook to manage microphone access and WebRTC connections for real-time voice previews.
- Modify AssistantPage to incorporate new visualizer options and pass assistantId to DebugVoicePanel, enhancing user experience during audio interactions.
- Update API model to include new fields for voice, speed, and language, supporting TTS and ASR configurations.
- Introduce the AssistantIdentity component to show the current assistant ID and provide a copy-to-clipboard feature.
- Update multiple sections of AssistantPage to include the AssistantIdentity component, enhancing user interaction with assistant IDs.
- Ensure the component handles the display of the assistant ID and provides feedback when copied successfully.
- Introduce three new audio visualizer components: AuraVisualizer, SpectrumVisualizer, and WaveVisualizer, enhancing the audio interaction experience.
- Replace the deprecated VoiceVisualizer with the new visualizers, ensuring a cohesive visual language across components.
- Update the AssistantPage to support dynamic visualization style switching, improving user engagement during audio interactions.
- Refactor DebugVoicePanel to accommodate the new visualizer props and enhance the overall debugging interface.
- Remove debug mode state management from AssistantPage, simplifying the component structure.
- Update DebugDrawer to eliminate mode selection, focusing on voice interaction features.
- Enhance the VoiceVisualizer component with improved visual effects and responsiveness to audio input.
- Adjust styles and layout for better user experience in the debugging interface.
- Introduce a new model field in the OpenCode form to manage language model selection.
- Refactor the form handling logic to improve data loading and error management for OpenCode assistants.
- Update UI components to utilize ResourceSelectField for model and voice configuration, enhancing user experience.
- Clear form fields when creating new OpenCode entries to ensure a fresh start for users.
- Update AssistantPage to use a stored value mask for API keys, improving security and user experience.
- Modify ComponentsModelsPage to display the current API key contextually, enhancing clarity for users.
- Adjust related components to ensure consistent handling of API key visibility and management.
- Update AssistantPage to handle API key input more securely by removing placeholder values and allowing empty submissions to retain existing keys.
- Introduce a new SecretInputField component for API key entry, improving user experience with visibility toggling and contextual hints.
- Modify ComponentsModelsPage to reflect similar API key handling, ensuring users can manage keys effectively while providing feedback on existing configurations.
- Add EditorBackButton for better navigation within the AssistantPage.
- Update Makefile to include new database seed commands for assistants and credentials.
- Refactor assistant model to use explicit fields instead of a config dictionary, improving data integrity and clarity.
- Implement new seeding SQL script for assistants, ensuring dependencies on credentials are respected.
- Modify backend routes and frontend components to accommodate the new assistant structure, including direct field access for prompt, API URL, and keys.
- Enhance the AssistantPage component to handle the new data structure and streamline the save process for different assistant types.
Implement server-side duplication for both assistants and credentials, allowing users to create copies with unique IDs and modified names. Update the respective API routes and frontend components to handle duplication requests, ensuring sensitive information is securely managed. Enhance the AssistantPage and ComponentsModelsPage to support this new feature, including loading and error handling for the duplication process.
Implement a new feature that allows users to create a copy of an existing assistant. The duplicate is inserted after the original, with the name suffixed by "副本" and the updated timestamp. Update the state management to handle the list of assistants accordingly, and add a dropdown menu item for triggering the duplication.
