chore: import upstream snapshot with attribution
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import argparse
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import asyncio
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import random
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from agents import Agent, GenerateDynamicPromptData, Runner
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"""
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NOTE: This example will not work out of the box, because the default prompt ID will not be available
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in your project.
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To use it, please:
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1. Go to https://platform.openai.com/playground/prompts
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2. Create a new prompt variable, `poem_style`.
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3. Create a system prompt with the content:
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```
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Write a poem in {{poem_style}}
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```
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4. Run the example with the `--prompt-id` flag.
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"""
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DEFAULT_PROMPT_ID = "pmpt_6965a984c7ac8194a8f4e79b00f838840118c1e58beb3332"
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class DynamicContext:
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def __init__(self, prompt_id: str):
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self.prompt_id = prompt_id
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self.poem_style = random.choice(["limerick", "haiku", "ballad"])
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print(f"[debug] DynamicContext initialized with poem_style: {self.poem_style}")
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async def _get_dynamic_prompt(data: GenerateDynamicPromptData):
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ctx: DynamicContext = data.context.context
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return {
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"id": ctx.prompt_id,
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"version": "1",
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"variables": {
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"poem_style": ctx.poem_style,
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},
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}
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async def dynamic_prompt(prompt_id: str):
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context = DynamicContext(prompt_id)
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agent = Agent(
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name="Assistant",
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prompt=_get_dynamic_prompt,
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)
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result = await Runner.run(agent, "Tell me about recursion in programming.", context=context)
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print(result.final_output)
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async def static_prompt(prompt_id: str):
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agent = Agent(
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name="Assistant",
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prompt={
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"id": prompt_id,
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"version": "1",
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"variables": {
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"poem_style": "limerick",
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},
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},
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)
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result = await Runner.run(agent, "Tell me about recursion in programming.")
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print(result.final_output)
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if __name__ == "__main__":
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parser = argparse.ArgumentParser()
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parser.add_argument("--dynamic", action="store_true")
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parser.add_argument("--prompt-id", type=str, default=DEFAULT_PROMPT_ID)
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args = parser.parse_args()
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if args.dynamic:
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asyncio.run(dynamic_prompt(args.prompt_id))
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else:
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asyncio.run(static_prompt(args.prompt_id))
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