feat: push LLM to continue after 1-2 tool calls
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@ -138,7 +138,6 @@ class AgentExecutor:
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if action_type == "reply":
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# 任何轮次,只要没成功调过工具就 reply → 强制注入工具调用
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if self._tool_call_count == 0:
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# 根据用户输入推断合适的工具
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hint_tool = "diagnose_project"
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if any(kw in user_input.lower() for kw in ["任务", "task", "list"]):
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hint_tool = "list_tasks"
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@ -147,14 +146,18 @@ class AgentExecutor:
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yield json.dumps({
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"type": "auto_tool", "message": f"未调工具,自动注入 {hint_tool}",
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}, ensure_ascii=False) + "\n"
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self._msgs.append({
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"role": "assistant",
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"content": f"已调用 {hint_tool}",
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})
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self._msgs.append({
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"role": "user",
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"content": f"请调用 {hint_tool} 工具,只输出 {{\"action\":\"tool_call\",\"tool\":\"{hint_tool}\",\"params\":{{}}}}",
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})
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self._msgs.append({"role": "assistant", "content": f"已调用 {hint_tool}"})
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self._msgs.append({"role": "user", "content": f"请调用 {hint_tool} 工具,只输出 {{\"action\":\"tool_call\",\"tool\":\"{hint_tool}\",\"params\":{{}}}}"})
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continue
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# 调了工具但太少(1-2次),LLM 想停 → 推它继续深入
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if self._tool_call_count <= 2 and self._turn_count < self.config.max_turns - 2:
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hint = "请继续:查看失败任务的详情(task_detail),查看待回答问题(list_questions),或启动agent(start_agents)"
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yield json.dumps({
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"type": "auto_tool", "message": f"已调{self._tool_call_count}次工具,继续深入",
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}, ensure_ascii=False) + "\n"
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self._msgs.append({"role": "assistant", "content": "继续分析"})
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self._msgs.append({"role": "user", "content": hint})
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continue
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final_reply = act.get("message", "")
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