- Updated labels in the AI Agents dashboard for clarity, changing "流程状态" to "Playbook 状态" and "未发布流程" to "未发布 Playbook".
- Introduced AI Agent rollout percentage management in channel editing, allowing users to set and rollback rollout percentages.
- Added new API endpoints for rolling back AI Agent rollout and fetching agent run metrics.
- Implemented new UI components for displaying agent run details, including status, duration, and input/output tokens.
- Enhanced type definitions for AdminChannel and AIAgent to include rollout percentages and runtime modes.
- Updated navigation to include a section for agent runs.
- Added new translations for agent run features in both English and Chinese.
- Implemented LanceDBProvider for managing vector collections, including methods for creating, deleting, and searching collections.
- Added support for LanceDB configuration in VectorDBConfig.
- Introduced stub for LanceDB provider when not built with the appropriate tag.
- Updated provider initialization to include LanceDB as a supported type.
- Created types and interfaces for vector operations, including Vector, SearchRequest, and SearchResult.
- Added tests for VectorDBConfig unmarshalling and for ensuring proper error handling when LanceDB is not built.
- Updated enums to include LanceDB type and labels.
- Modified frontend enums to reflect the addition of LanceDB.
- Introduced OIDC configuration options in config.example.yaml.
- Added OIDC client initialization and routes for OIDC login, callback, and exchange.
- Implemented OIDC login service to handle user authentication via OIDC.
- Created frontend components for OIDC login and callback handling.
- Updated user creation logic to support OIDC users and their identities.
- Enhanced error handling for OIDC login processes.
- Introduced RealtimeCustomerSessionRefreshPayload and RealtimeCustomerSessionRefreshEvent types for handling session refresh events.
- Updated ws_service to verify customer session and handle session refresh notifications.
- Enhanced API client to manage customer session tokens and expiration.
- Implemented customer session validation and storage in session storage.
- Added functions to exchange and ensure customer sessions.
- Updated IM real-time connection to include customer session tokens in WebSocket requests.
- Modified SDK and widget configurations to support external IDs and user tokens.
- Implemented user token secret generation and retrieval in channel service.
- Added ResetUserTokenSecret method to reset the user token secret for channels.
- Updated channel configuration parsing to include user token secret.
- Enhanced WebSocket service to utilize user token secret for external info retrieval.
- Modified dashboard channel edit component to support user token secret display and reset functionality.
- Introduced API endpoint for resetting user token secret.
- Updated IM and SDK configurations to include user token.
- Added tests for user token verification logic.
- Updated output path for generated enums to reflect new structure.
- Enhanced ChannelController to handle WeChat MP OAuth authorization and callback.
- Introduced WechatMPChannelConfig DTO for WeChat MP specific configurations.
- Modified WidgetConfigResponse to include channel type and external source.
- Added enums for WeChat MP channel type and external source.
- Implemented OAuth flow for WeChat MP, including state signing and verification.
- Updated frontend forms to accommodate WeChat MP configurations.
- Enhanced API interactions to support WeChat MP external ID and source.
- Updated generated enums to include WeChat MP external source.
- Introduced AIAgentFallbackMode with options for NoAnswer and SuggestRetry.
- Updated AI agent edit component to include fallback mode selection.
- Modified API types and payloads to accommodate fallback mode.
- Removed deprecated KnowledgeFallbackMode and related logic from knowledge base.
- Adjusted knowledge retrieval and response handling to utilize new fallback logic.
- Updated tests to reflect changes in fallback mode handling for AI agents.
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