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.
- Removed runtime mode handling from AIAgentConfigWorkbench and related components.
- Updated tests to reflect changes in AI Agent policy copy and configuration.
- Changed terminology from "workflow" to "revision" in various components and API responses.
- Simplified agent binding logic in channel editing.
- Cleaned up unused variables and types related to runtime modes.
- Updated localization files for consistency with new terminology.
- Deleted AgentRunLogResponse struct from skill_response.go.
- Removed agent_run_log_repository.go and agent_run_log_service.go files.
- Eliminated AgentRunLogDetailDialog component and its related logic from the dashboard.
- Removed agent run log fetching functions from admin API.
- Updated navigation and localization files to remove references to agent run logs.
- 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.
- Implemented QuickReplySeed structure and seeds for both English and Chinese languages.
- Created SkillDefinitionSeed structure with detailed instructions and examples for the "After-sales Escalation" skill in both languages.
- Added TagSeed structure and corresponding seeds for categorizing inquiries in English and Chinese.
- Refactored skill and tag initialization to utilize the new seed structures, ensuring proper data handling and multilingual support.
- Updated tests to verify that English seeds do not contain Chinese text, ensuring data integrity.
- Introduced a new package `seedlang` to handle language parsing and constants for English and Chinese.
- Updated `Init` functions across various modules (kb, quickreply, skill, tag) to accept a language parameter.
- Implemented English seed data for FAQs, quick replies, skills, and tags, ensuring no Chinese text is present in English data.
- Added tests to verify that English seed data does not contain Chinese characters.
- Removed outdated README file from the kb test data directory.
- Created new test files for channel and kb to validate the absence of Chinese text in English seed data.
- 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.
- Updated multiple repository and service files to replace imports from "github.com/mlogclub/simple/web/params" with "cs-agent/internal/pkg/httpx/params".
- Adjusted context handling in auth_service and ws_service to use gin.Context instead of iris.Context.
- Ensured consistent usage of HTTP status responses across websocket handlers.
- 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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