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| from __future__ import annotations | |
| from typing import Annotated | |
| import gradio as gr | |
| from ._docstrings import autodoc | |
| from ._core import sandboxed_exec | |
| from app import _log_call_end, _log_call_start, _truncate_for_log | |
| # Single source of truth for the LLM-facing tool description | |
| TOOL_SUMMARY = ( | |
| "Execute Python code from the tool root; returns captured stdout or the exception text." | |
| ) | |
| def Code_Interpreter(code: Annotated[str, "Python source code to run; stdout is captured and returned."]) -> str: | |
| _log_call_start("Code_Interpreter", code=_truncate_for_log(code or "", 300)) | |
| result = sandboxed_exec(code, ast_mode=False) | |
| _log_call_end("Code_Interpreter", _truncate_for_log(result)) | |
| return result | |
| def build_interface() -> gr.Interface: | |
| return gr.Interface( | |
| fn=Code_Interpreter, | |
| inputs=gr.Code(label="Python Code", language="python"), | |
| outputs=gr.Textbox(label="Output", lines=5, max_lines=20), | |
| title="Code Interpreter", | |
| description="<div style=\"text-align:center\">Execute Python code and see the output.</div>", | |
| api_description=TOOL_SUMMARY, | |
| flagging_mode="never", | |
| ) | |
| __all__ = ["Code_Interpreter", "build_interface"] |