Remove Agent Desk users, roles, login sessions, tokens, and local permission persistence. Expose the backend as an embeddable ai-agent module with host-provided subject lookup and operation authorization callbacks, and complete the frontend/backend repository split.
- 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.
- Updated import paths in multiple service files to reflect the new agent-desk module.
- Added a new configuration file for agent-desk in the Docker setup.
- Updated runtime configuration to use __CS_AI_AGENT_WIDGET_CONFIG__ instead of __CS_AGENT_WIDGET_CONFIG__.
- Changed message types in support host bridge from "cs-agent" to "cs-ai-agent".
- Minified SDK script updated to reflect new AI agent naming conventions.
- Adjusted scrollbar styles in main.scss to use .cs-ai-agent-scrollbar instead of .cs-agent-scrollbar.
- Implemented request ID handling in various services and handlers to improve traceability of requests.
- Added new AuthOptions endpoint to expose WxWork and OIDC configuration options.
- Updated message and event logging to include request ID for better debugging.
- Enhanced login form to dynamically show available authentication options based on server configuration.
- Introduced utility functions for normalizing and ensuring valid request IDs.
- Updated tests to verify request ID functionality in message sending and event logging.
- Moved the skill routing logic from matcher.go to a new router.go file for better organization.
- Implemented replyCommitService to handle sending AI replies and managing reply rounds.
- Added replyInterruptService to manage conversation interrupts and resume handling.
- Created replyRunLogService to log AI reply actions and their outcomes.
- Introduced helper functions for building conversation interrupts and resolving prompts.
- Added unit tests for the new services and functions to ensure correctness.
- Removed unused code and optimized imports in matcher.go.
t