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https://github.com/shareAI-lab/analysis_claude_code.git
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Refine course progression and runtime safety
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@@ -33,7 +33,7 @@ Agent 的 bash 工具也一样。`pip install torch` 要 10 分钟,`npm run bu
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| 慢操作 | Agent 干等 | 后台线程执行 |
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| Agent 空闲 | 是 | 否,继续处理 |
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| 结果 | 立即返回 | 下轮注入通知 |
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| 判断标准 | — | `run_in_background` 参数(模型显式请求),启发式兜底 |
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| 判断标准 | — | bash 的 `run_in_background` 参数,启发式兜底 |
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---
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@@ -41,7 +41,7 @@ Agent 的 bash 工具也一样。`pip install torch` 要 10 分钟,`npm run bu
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### should_run_background: 显式请求优先,启发式兜底
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模型通过 bash 工具的 `run_in_background` 参数显式请求后台执行。如果模型没有指定,则使用关键词启发式判断:
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模型通过 bash 工具的 `run_in_background` 参数显式请求后台执行。如果模型没有指定,则使用关键词启发式判断。只有 bash 会进入这条路径,其他工具仍按原来的参数规则校验和执行。
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```python
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def is_slow_operation(tool_name: str, tool_input: dict) -> bool:
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@@ -56,7 +56,9 @@ def is_slow_operation(tool_name: str, tool_input: dict) -> bool:
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def should_run_background(tool_name: str, tool_input: dict) -> bool:
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"""Model explicit request takes priority; fallback to heuristic."""
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if tool_input.get("run_in_background"):
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if tool_name != "bash":
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return False
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if tool_input.get("run_in_background") is True:
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return True
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return is_slow_operation(tool_name, tool_input)
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```
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@@ -78,9 +80,14 @@ def start_background_task(block) -> str:
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bg_id = f"bg_{_bg_counter:04d}"
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def worker():
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result = execute_tool(block)
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try:
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output, exit_code = _run_bash_process(block.input["command"])
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status = "completed" if exit_code == 0 else "failed"
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result = _format_bash_result(output, exit_code)
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except Exception as exc:
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status, result = "failed", f"Error: {exc}"
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with background_lock:
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background_tasks[bg_id]["status"] = "completed"
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background_tasks[bg_id]["status"] = status
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background_results[bg_id] = result
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with background_lock:
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@@ -94,7 +101,7 @@ def start_background_task(block) -> str:
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return bg_id
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```
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`start_background_task()` 返回 `bg_id`。`daemon=True` 确保 Agent 进程退出时线程一起退出。
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`start_background_task()` 返回 `bg_id`。命令以非零状态退出或 worker 抛出异常时,任务会进入 `failed`,不会再被写成成功完成。Shell 会在独立的进程组中启动;命令完成、超时,或 Agent 经正常路径、`SIGTERM` 退出时,运行时会停止原进程组。这只是生命周期清理,并不是沙箱;另建 session 的进程仍可能离开该进程组。
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### collect_background_results: 通知收集
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@@ -102,10 +109,10 @@ def start_background_task(block) -> str:
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```python
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def collect_background_results() -> list[str]:
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"""Collect completed results as task_notification messages."""
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"""Collect terminal results as task_notification messages."""
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with background_lock:
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ready_ids = [bid for bid, task in background_tasks.items()
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if task["status"] == "completed"]
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if task["status"] in ("completed", "failed")]
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notifications = []
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for bg_id in ready_ids:
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with background_lock:
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@@ -114,7 +121,7 @@ def collect_background_results() -> list[str]:
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notifications.append(
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f"<task_notification>\n"
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f" <task_id>{bg_id}</task_id>\n"
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f" <status>completed</status>\n"
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f" <status>{task['status']}</status>\n"
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f" <command>{task['command']}</command>\n"
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f" <summary>{output[:200]}</summary>\n"
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f"</task_notification>")
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@@ -213,4 +220,4 @@ python s13_background_tasks/code.py
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s14 Cron Scheduler → 给 Agent 装一个闹钟。
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