ai-agent-book 精选快照(<2MB 代码与文档,来自 github.com/bojieli/ai-agent-book)
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"""
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极简 Code Interpreter 沙箱:在子进程中执行模型生成的 Python 代码。
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- 用独立子进程运行,避免污染主进程、并可强制超时。
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- 子进程使用与主程序相同的解释器(sys.executable),因此已预装 python-constraint。
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- 捕获 stdout / stderr 一并返回给模型,让它能看到求解结果或报错信息。
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"""
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import subprocess
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import sys
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import tempfile
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import os
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def run_python(code: str, timeout: int = 20) -> str:
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"""在子进程沙箱中执行 code,返回合并后的 stdout/stderr 文本。"""
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with tempfile.NamedTemporaryFile("w", suffix=".py", delete=False,
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encoding="utf-8") as f:
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f.write(code)
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path = f.name
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try:
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proc = subprocess.run(
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[sys.executable, path],
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capture_output=True, text=True, timeout=timeout,
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)
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out = proc.stdout
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if proc.stderr.strip():
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out += "\n[stderr]\n" + proc.stderr
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if not out.strip():
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out = "(代码已执行,但没有任何输出。记得用 print() 打印结果。)"
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return out.strip()
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except subprocess.TimeoutExpired:
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return f"[错误] 代码执行超时(超过 {timeout} 秒)。"
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finally:
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os.unlink(path)
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if __name__ == "__main__":
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# 自测:用 python-constraint 求解一个最简单的 K&K 谜题
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demo = """
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from constraint import Problem
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p = Problem()
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# True=骑士(说真话), False=无赖(说假话)
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p.addVariable('A', [True, False])
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p.addVariable('B', [True, False])
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# A 说"B 是无赖":A 的真值 == (B 是无赖) 即 A == (not B)
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p.addConstraint(lambda a, b: a == (not b), ['A', 'B'])
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# B 说"我们都不是骑士":B == (not A and not B)
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p.addConstraint(lambda a, b: b == ((not a) and (not b)), ['A', 'B'])
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for s in p.getSolutions():
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print({k: 'knight' if v else 'knave' for k, v in s.items()})
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"""
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print(run_python(demo))
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