- Added new sections for open-source and commercial projects to enhance resource visibility.
- Included links to various relevant projects, expanding the list of resources available for users.
- Added new sections for open-source and commercial projects to enhance resource visibility.
- Included links to various relevant projects, expanding the list of resources available for users.
- Created a new README file for the changelog to outline version history.
- Updated the roadmap documentation to replace the contribution section with a list of reference projects, enhancing resource visibility.
- Included a new JavaScript file for Mermaid configuration to ensure consistent diagram sizing across documentation.
- Enhanced architecture documentation to reflect the updated pipeline engine structure, including VAD, ASR, TD, LLM, and TTS components.
- Updated various sections to clarify the integration of external services and tools within the architecture.
- Improved styling for Mermaid diagrams to enhance visual consistency and usability.
- Restructured the navigation in mkdocs.yml to improve organization, introducing subcategories for assistant creation and component libraries.
- Added new documentation for workflow configuration options, detailing setup and best practices.
- Introduced new sections for voice recognition and generation, outlining configuration items and recommendations for optimal performance.
- Adjusted indentation in mkdocs.yml to enhance readability and maintain consistency in the navigation hierarchy.
- Ensured that sections for "功能定制" and "数据分析" are clearly organized under their respective categories.
- Added a new section explaining the two layers of assistant configuration: database persistence and session-level overrides.
- Included a table listing fields that are stored in the database and those that can be overridden during a session.
- Provided code examples demonstrating the merging of baseline configuration with session overrides for clarity.
- Included a new item in the roadmap for telephone integration, specifying automatic call handling and batch calling capabilities.
- Updated the existing SDK support section to reflect the addition of this feature.
- Updated the WebSocket API reference to improve clarity by removing unnecessary headings and emphasizing message types.
- Revised the index.md to specify 'chroma' as the knowledge base, enhancing the overview of the platform's architecture.
- Introduced `output.audio.played` message type for client acknowledgment of audio playback completion.
- Updated `DuplexPipeline` to track client playback state and handle playback completion events.
- Enhanced session handling to route `output.audio.played` messages to the pipeline.
- Revised API documentation to include details about the new message type and its fields.
- Updated schema documentation to reflect the addition of `output.audio.played` in the message flow.
- Updated Dockerfile for the API to include build tools for C++11 required for native extensions.
- Revised requirements.txt to upgrade several dependencies, including FastAPI and SQLAlchemy.
- Expanded docker-compose.yml to add MinIO service for S3-compatible storage and improved health checks for backend and engine services.
- Enhanced README.md in the Docker directory to provide detailed service descriptions and quick start instructions.
- Updated mkdocs.yml to reflect new navigation structure and added deployment overview documentation.
- Introduced new Dockerfiles for the engine and web services, including development configurations for hot reloading.
- Revised mkdocs.yml to reflect the new site name and description, enhancing clarity for users.
- Added a changelog.md to document important changes and updates for the project.
- Introduced a roadmap.md to outline development plans and progress for future releases.
- Expanded index.md with a comprehensive overview of the platform, including core features and installation instructions.
- Enhanced concepts documentation with detailed explanations of assistants, engines, and their configurations.
- Updated configuration documentation to provide clear guidance on environment setup and service configurations.
- Added extra JavaScript for improved user experience in the documentation site.
- Added React Query for managing API calls related to assistants and voices.
- Introduced `useAssistantsQuery` and `useVoicesQuery` hooks for fetching data.
- Implemented mutations for creating, updating, and deleting voices using React Query.
- Integrated a global `QueryClient` for managing query states and configurations.
- Refactored components to utilize the new query hooks, improving data handling and performance.
- Added a Zustand store for managing debug preferences, including WebSocket URL and audio settings.
- Replaced the "通过控制台" and "通过 API" entries in the quickstart section with "资源库配置" for improved clarity.
- Updated the API reference link in index.md to direct users to the main quickstart page instead of the outdated API usage example.
- Revised the introduction in index.md to emphasize the need for resource configuration before creating an AI assistant.
- Added a new section detailing the configuration process for ASR, LLM, and TTS resources.
- Updated the quickstart guide to reflect the new resource management steps and included troubleshooting tips for common issues.
- Removed the outdated API guide as it has been integrated into the new resource configuration workflow.
- Revised the description of the Realtime Agent Studio (RAS) to emphasize its foundation on large voice models, enhancing clarity on the platform's capabilities.
- Added pymdownx.tasklist extension to mkdocs.yml for enhanced task management.
- Revised the roadmap section in index.md to include additional completed and in-progress tasks, improving project tracking and visibility.
- Added pymdownx.emoji extension to mkdocs.yml for emoji rendering.
- Updated index.md to include a new dashboard image and revised descriptions for clarity.
- Expanded the features section with detailed descriptions of tools and testing capabilities.
- Introduced a roadmap section outlining completed, in-progress, and to-do features for better project visibility.
- Changed site name and description in mkdocs.yml.
- Revised content in index.md to provide a comprehensive overview of RAS features and capabilities.
- Updated API reference and error documentation to replace AI Video Assistant with RAS.
- Modified deployment and getting started guides to align with the new branding.
- Enhanced quickstart instructions to specify RAS service requirements.
- Added `promptType` and `voiceText` properties to `DebugTextPromptDialogState`.
- Updated state management for text prompt dialogs to handle voice prompts.
- Modified dialog activation logic to play voice prompts when applicable.
- Adjusted UI to reflect the type of prompt being displayed (text or voice).
- Ensured proper handling of prompt closure messages based on prompt type.
- Introduced logic to trigger a follow-up turn when the manual opener greeting is empty.
- Updated `_execute_manual_opener_tool_calls` to return structured tool call and result data.
- Added `_build_manual_opener_follow_up_context` method to construct context for follow-up turns.
- Modified `_handle_turn` to accept system context for improved conversation management.
- Enhanced tests to validate the new follow-up behavior and ensure proper context handling.
- Introduced `manual_opener_tool_calls` field in the Assistant model to support custom tool calls.
- Updated AssistantBase and AssistantUpdate schemas to include the new field.
- Implemented normalization and migration logic for handling manual opener tool calls in the API.
- Enhanced runtime metadata to include manual opener tool calls in responses.
- Updated tests to validate the new functionality and ensure proper handling of tool calls.
- Refactored tool ID normalization to support legacy tool names for backward compatibility.
