Refactor conversation persistence into workspace-scoped storage with host workspace legacy migration, current workspace filtering, and active host workspace state protection.
Add proactive recent-conversation prompt injection with personal-space controls, configurable item count, empty-conversation filtering, and frozen per-conversation prompt metadata to keep request caches stable.
Introduce conversation_search and conversation_review tools for current-workspace history: multi-keyword search, list mode, current conversation exclusion, message/tool counts, formatted model output, read/save review modes, long-review fallback, and .agents/review storage.
Move internal workspace artifacts under .agents, including uploads, skills, compact results, and reviews; update prompt file-tree visibility, compression output, upload paths, and hidden versioning exclusions.
Add create_skill workflow and a Skills tool category, move read_skill into Skills, validate/归档 skill folders, support host global skills and Docker/API private skills, and sync private skills into .agents/skills and skill prompts.
Update frontend tool icons, statuses, and expanded renderers for conversation recall and skills workflows; add workspace conversation and skills-manager tests.
- 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>
