wehub-resource-sync
31 lines
1.0 KiB
Python
31 lines
1.0 KiB
Python
import asyncio
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from openai.types.shared import Reasoning
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from agents import Agent, ModelSettings, Runner
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# If you have a certain reason to use Chat Completions, you can configure the model this way,
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# and then you can pass the chat_completions_model to the Agent constructor.
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# from openai import AsyncOpenAI
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# client = AsyncOpenAI()
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# from agents import OpenAIChatCompletionsModel
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# chat_completions_model = OpenAIChatCompletionsModel(model="gpt-5.6-sol", openai_client=client)
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async def main():
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agent = Agent(
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name="Knowledgable GPT-5 Assistant",
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instructions="You're a knowledgable assistant. You always provide an interesting answer.",
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model="gpt-5.6-sol",
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model_settings=ModelSettings(
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reasoning=Reasoning(effort="low"), # "none", "low", "medium", "high", "xhigh"
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verbosity="low", # "low", "medium", "high"
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),
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)
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result = await Runner.run(agent, "Tell me something about recursion in programming.")
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print(result.final_output)
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if __name__ == "__main__":
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asyncio.run(main())
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