feat: expose graph orchestration mode, fix pipeline multi-agent, add Feishu tools (Phase 3)
增强编排 + 飞书深度集成: - Graph 模式:暴露 orchestrator._graph() 到 run() 方法,workflow_integration 支持 graph nodes/edges - Pipeline 修复:多 Agent 按步骤轮转分配,不再只用 agents[0] - 4个飞书操作工具: feishu_create_doc / feishu_create_calendar_event / feishu_search_contacts / feishu_send_approval - 飞书 @mention→Goal:feishu/ orange WS handler 支持 "目标: xxx" 触发自动创建 Goal Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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@@ -192,8 +192,8 @@ async def run_orchestrator_node(
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# 2. 解析编排模式
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mode = node_data.get("mode", "debate").lower()
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if mode not in ("route", "sequential", "debate", "pipeline"):
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return {"output": f"错误:不支持的编排模式 '{mode}',可选: route, sequential, debate, pipeline", "status": "error"}
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if mode not in ("route", "sequential", "debate", "pipeline", "graph"):
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return {"output": f"错误:不支持的编排模式 '{mode}',可选: route, sequential, debate, pipeline, graph", "status": "error"}
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# 3. 解析 Agent 列表
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agent_ids = node_data.get("agents", [])
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@@ -266,33 +266,45 @@ async def run_orchestrator_node(
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temperature=0.3,
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),
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)
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# graph 模式需要传递节点和边定义
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graph_nodes = node_data.get("graph_nodes") if mode == "graph" else None
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graph_edges = node_data.get("graph_edges") if mode == "graph" else None
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result = await orchestrator.run(
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mode=mode,
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question=query,
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agents=agent_configs,
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on_llm_call=on_llm_invocation,
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graph_nodes=graph_nodes,
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graph_edges=graph_edges,
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)
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# 6. 返回结构化结果
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meta: Dict[str, Any] = {
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"mode": result.mode,
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"agent_count": len(agent_configs),
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"steps": [
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{
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"agent_id": s.agent_id,
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"agent_name": s.agent_name,
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"input": s.input[:200] if s.input else "",
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"output": s.output[:500] if s.output else "",
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"iterations_used": s.iterations_used,
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"tool_calls_made": s.tool_calls_made,
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"error": s.error,
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}
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for s in result.steps
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],
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}
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if mode == "graph":
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meta["graph_node_count"] = len(graph_nodes) if graph_nodes else 0
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meta["graph_edge_count"] = len(graph_edges) if graph_edges else 0
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return {
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"output": result.final_answer,
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"status": "success",
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"orchestrator_meta": {
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"mode": result.mode,
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"agent_count": len(agent_configs),
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"steps": [
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{
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"agent_id": s.agent_id,
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"agent_name": s.agent_name,
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"input": s.input[:200] if s.input else "",
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"output": s.output[:500] if s.output else "",
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"iterations_used": s.iterations_used,
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"tool_calls_made": s.tool_calls_made,
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"error": s.error,
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}
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for s in result.steps
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],
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},
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"orchestrator_meta": meta,
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}
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except Exception as e:
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