wehub-resource-sync
64 lines
2.2 KiB
Python
64 lines
2.2 KiB
Python
import asyncio
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from collections.abc import Mapping
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from typing import Any
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from agents import Agent, CodeInterpreterTool, Runner, trace
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def _get_field(obj: Any, key: str) -> Any:
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if isinstance(obj, Mapping):
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return obj.get(key)
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return getattr(obj, key, None)
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async def main():
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agent = Agent(
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name="Code interpreter",
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# Note: using gpt-5-class models with streaming for this tool may require org verification.
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# Code interpreter does not support gpt-5 minimal reasoning effort; use default effort.
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model="gpt-5.6-sol",
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instructions=(
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"Always use the code interpreter tool to solve numeric problems, and show the code "
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"you ran when possible."
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),
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tools=[
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CodeInterpreterTool(
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tool_config={"type": "code_interpreter", "container": {"type": "auto"}},
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)
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],
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)
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with trace("Code interpreter example"):
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print("Solving math problem with the code interpreter...")
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result = Runner.run_streamed(
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agent,
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(
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"Use the code interpreter tool to calculate the square root of 273 * 312821 + "
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"1782. Show the Python code you ran and then provide the numeric answer."
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),
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)
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saw_code_interpreter_call = False
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async for event in result.stream_events():
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if event.type != "run_item_stream_event":
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continue
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item = event.item
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if item.type == "tool_call_item":
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raw_call = item.raw_item
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if _get_field(raw_call, "type") == "code_interpreter_call":
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saw_code_interpreter_call = True
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code = _get_field(raw_call, "code")
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if isinstance(code, str):
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print(f"Code interpreter code:\n```\n{code}\n```\n")
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continue
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print(f"Other event: {event.item.type}")
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if not saw_code_interpreter_call:
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print("No code_interpreter_call item was emitted.")
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print(f"Final output: {result.final_output}")
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if __name__ == "__main__":
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asyncio.run(main())
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