Implement workspace-scoped conversation storage with legacy migration based on host workspace metadata, active host workspace state protection, and frontend/backend conversation list scoping.
Add proactive recent-conversation prompt support with a configurable personal-space limit, frozen per conversation metadata, empty-conversation filtering, and a dedicated prompt template.
Add conversation_search and conversation_review tools with readable formatted results, workspace-only access, current-conversation exclusion, multi-keyword search, list mode, message/tool counts, read/save review modes, long-review fallback to .agents/review, and frontend detail renderers.
Move internal workspace artifacts under .agents, update upload/skills/compact/review paths, show .agents internal directories in prompt file trees, and adjust versioning ignores.
Add create_skill and a Skills tool category, move read_skill into that category, validate and archive skill folders, support host global skills and Docker/API private skills, and sync private skills into .agents/skills and prompts.
Update memory stamping with conversation/time source metadata and include frontend icon/status/display updates plus tests for workspace conversation storage and skills management.
- Remove direct task.cancel() calls, use stop flag instead
- Monitor stop flag every 100ms during tool execution
- Cancel tool task immediately when stop flag is detected
- Return "命令执行被用户取消" as tool result with role=tool
- Save cancellation result to conversation history
- Prevent abrupt task termination, allow graceful shutdown
Changes:
- server/socket_handlers.py: Comment out pending_task.cancel()
- server/tasks.py: Comment out entry['task'].cancel()
- server/chat_flow_tool_loop.py: Add stop flag monitoring loop
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
