| from __future__ import annotations | |
| import json | |
| import os | |
| import subprocess | |
| import tempfile | |
| from typing import Any, Dict | |
| from .registry import ToolRegistry | |
| def t_py_run(args: Dict[str, Any]) -> str: | |
| code = args.get("code") | |
| if not isinstance(code, str) or not code: | |
| return json.dumps({"error": "code required"}) | |
| env = os.environ.copy() | |
| try: | |
| with tempfile.NamedTemporaryFile("w", suffix=".py", delete=False) as tf: | |
| tf.write(code) | |
| path = tf.name | |
| proc = subprocess.run(["python3", path], capture_output=True, text=True, timeout=int(args.get("timeout", 180))) | |
| return json.dumps({"returncode": proc.returncode, "stdout": proc.stdout[-8000:], "stderr": proc.stderr[-8000:]}) | |
| except Exception as e: | |
| return json.dumps({"error": str(e)}) | |
| def register_tools(reg: ToolRegistry) -> None: | |
| reg.register( | |
| name="py_run", | |
| description="Execute a Python snippet in-process (separate file).", | |
| parameters={"type": "object", "properties": {"code": {"type": "string"}, "timeout": {"type": "integer"}}, "required": ["code"]}, | |
| handler=t_py_run, | |
| ) | |