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 skill handling to use skill IDs instead of skill codes in various components, services, and models.
- Modified tests to reflect changes in skill identification.
- Removed references to skill codes in favor of skill IDs for consistency and clarity.
- Updated localization files to remove skill code references and adjust error messages accordingly.
- 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.
- Removed the selectSkill method from prepareService and adjusted related logic in the Run method of Service.
- Updated tool catalog to parse agent allowed tool codes directly.
- Simplified Request and RunInput structures by removing unnecessary fields.
- Enhanced the RuntimeTraceCollector to manage skill activation and visibility.
- Introduced a new databaseSkillBackend to manage skill definitions and their metadata.
- Added tests for skill backend functionalities to ensure correct behavior.
- Updated various factory methods to accommodate changes in skill handling.
- Improved documentation and descriptions for better clarity.
- Updated function signatures to accept AI Agent and AI Config as non-pointer types for better clarity and safety.
- Modified instances where AI Agent and AI Config were dereferenced to improve code readability.
- Removed unnecessary nil checks for AI Agent and AI Config, simplifying the logic.
- Adjusted related tests and services to align with the new function signatures.
- Cleaned up code in runtime, skills, and executor packages to ensure consistency in handling AI configurations.