How to process the data of the reasoning model？

[moseshu]

How to use the agent's API to process the reasoning data?

import os
from openai import OpenAI,AsyncOpenAI

client = AsyncOpenAI(

    api_key="sk-po",
    base_url="http://v1",
)
completion = await client.chat.completions.create(
    model="qwq-plus-latest",
    messages=[{"role":"user","content":"How are you doing?"}],
    stream=True,
    )
async def stream_response():
    async for response in completion:
        yield response.choices[0]


async for rep in stream_response():
    print(rep)

output

Choice(delta=ChoiceDelta(content=None, function_call=None, refusal=None, role='assistant', tool_calls=None, reasoning_content=''), finish_reason=None, index=0, logprobs=None)
Choice(delta=ChoiceDelta(content=None, function_call=None, refusal=None, role=None, tool_calls=None, reasoning_content='Okay,'), finish_reason=None, index=0, logprobs=None)
Choice(delta=ChoiceDelta(content=None, function_call=None, refusal=None, role=None, tool_calls=None, reasoning_content=' the user asked "'), finish_reason=None, index=0, logprobs=None)
Choice(delta=ChoiceDelta(content=None, function_call=None, refusal=None, role=None, tool_calls=None, reasoning_content='how are you doing'), finish_reason=None, index=0, logprobs=None)
Choice(delta=ChoiceDelta(content=None, function_call=None, refusal=None, role=None, tool_calls=None, reasoning_content='？". Let me'), finish_reason=None, index=0, logprobs=None)
Choice(delta=ChoiceDelta(content=None, function_call=None, refusal=None, role=None, tool_calls=None, reasoning_content=' think about how to'), finish_reason=None, index=0, logprobs=None)
Choice(delta=ChoiceDelta(content=None, function_call=None, refusal=None, role=None, tool_calls=None, reasoning_content=' respond.\n\nFirst,'), finish_reason=None, index=0, logprobs=None)
Choice(delta=ChoiceDelta(content=None, function_call=None, refusal=None, role=None, tool_calls=None, reasoning_content=' I should acknowledge their'), finish_reason=None, index=0, logprobs=None)
Choice(delta=ChoiceDelta(content=None, function_call=None, refusal=None, role=None, tool_calls=None, reasoning_content=' question politely. Since'), finish_reason=None, index=0, logprobs=None)
Choice(delta=ChoiceDelta(content=None, function_call=None, refusal=None, role=None, tool_calls=None, reasoning_content=" I'm an AI"), finish_reason=None, index=0, logprobs=None)
Choice(delta=ChoiceDelta(content=None, function_call=None, refusal=None, role=None, tool_calls=None, reasoning_content=", I don't"), finish_reason=None, index=0, logprobs=None)
Choice(delta=ChoiceDelta(content=None, function_call=None, refusal=None, role=None, tool_calls=None, reasoning_content=' have feelings, but'), finish_reason=None, index=0, logprobs=None)
Choice(delta=ChoiceDelta(content=None, function_call=None, refusal=None, role=None, tool_calls=None, reasoning_content=' I can say I'), finish_reason=None, index=0, logprobs=None)
Choice(delta=ChoiceDelta(content=None, function_call=None, refusal=None, role=None, tool_calls=None, reasoning_content="'m here to help"), finish_reason=None, index=0, logprobs=None)
Choice(delta=ChoiceDelta(content=None, function_call=None, refusal=None, role=None, tool_calls=None, reasoning_content='. Maybe add a'), finish_reason=None, index=0, logprobs=None)
Choice(delta=ChoiceDelta(content=None, function_call=None, refusal=None, role=None, tool_calls=None, reasoning_content=' friendly emoji to keep'), finish_reason=None, index=0, logprobs=None)
Choice(delta=ChoiceDelta(content=None, function_call=None, refusal=None, role=None, tool_calls=None, reasoning_content=' it warm.\n\nI'), finish_reason=None, index=0, logprobs=None)
Choice(delta=ChoiceDelta(content=None, function_call=None, refusal=None, role=None, tool_calls=None, reasoning_content=' should also ask them'), finish_reason=None, index=0, logprobs=None)
Choice(delta=ChoiceDelta(content=None, function_call=None, refusal=None, role=None, tool_calls=None, reasoning_content=" back how they're"), finish_reason=None, index=0, logprobs=None)
Choice(delta=ChoiceDelta(content=None, function_call=None, refusal=None, role=None, tool_calls=None, reasoning_content=' doing to keep the'), finish_reason=None, index=0, logprobs=None)
Choice(delta=ChoiceDelta(content=None, function_call=None, refusal=None, role=None, tool_calls=None, reasoning_content=' conversation going. Maybe'), finish_reason=None, index=0, logprobs=None)
Choice(delta=ChoiceDelta(content=None, function_call=None, refusal=None, role=None, tool_calls=None, reasoning_content=' use a question mark'), finish_reason=None, index=0, logprobs=None)
Choice(delta=ChoiceDelta(content=None, function_call=None, refusal=None, role=None, tool_calls=None, reasoning_content=' and an emoji there'), finish_reason=None, index=0, logprobs=None)
Choice(delta=ChoiceDelta(content=None, function_call=None, refusal=None, role=None, tool_calls=None, reasoning_content=' too. Keep it'), finish_reason=None, index=0, logprobs=None)
Choice(delta=ChoiceDelta(content=None, function_call=None, refusal=None, role=None, tool_calls=None, reasoning_content=' simple and open-ended'), finish_reason=None, index=0, logprobs=None)
Choice(delta=ChoiceDelta(content=None, function_call=None, refusal=None, role=None, tool_calls=None, reasoning_content=' so they can respond'), finish_reason=None, index=0, logprobs=None)
Choice(delta=ChoiceDelta(content=None, function_call=None, refusal=None, role=None, tool_calls=None, reasoning_content=' easily.\n\nWait,'), finish_reason=None, index=0, logprobs=None)
Choice(delta=ChoiceDelta(content=None, function_call=None, refusal=None, role=None, tool_calls=None, reasoning_content=' the user might just'), finish_reason=None, index=0, logprobs=None)
Choice(delta=ChoiceDelta(content=None, function_call=None, refusal=None, role=None, tool_calls=None, reasoning_content=' be being friendly,'), finish_reason=None, index=0, logprobs=None)
Choice(delta=ChoiceDelta(content=None, function_call=None, refusal=None, role=None, tool_calls=None, reasoning_content=' so the response should'), finish_reason=None, index=0, logprobs=None)
Choice(delta=ChoiceDelta(content=None, function_call=None, refusal=None, role=None, tool_calls=None, reasoning_content=' match that tone.'), finish_reason=None, index=0, logprobs=None)
Choice(delta=ChoiceDelta(content=None, function_call=None, refusal=None, role=None, tool_calls=None, reasoning_content=' No need for any'), finish_reason=None, index=0, logprobs=None)
Choice(delta=ChoiceDelta(content=None, function_call=None, refusal=None, role=None, tool_calls=None, reasoning_content=' technical details. Just'), finish_reason=None, index=0, logprobs=None)
Choice(delta=ChoiceDelta(content=None, function_call=None, refusal=None, role=None, tool_calls=None, reasoning_content=' a standard, cheerful'), finish_reason=None, index=0, logprobs=None)
Choice(delta=ChoiceDelta(content=None, function_call=None, refusal=None, role=None, tool_calls=None, reasoning_content=' reply. Let me'), finish_reason=None, index=0, logprobs=None)
Choice(delta=ChoiceDelta(content=None, function_call=None, refusal=None, role=None, tool_calls=None, reasoning_content=' check for any ty'), finish_reason=None, index=0, logprobs=None)
Choice(delta=ChoiceDelta(content=None, function_call=None, refusal=None, role=None, tool_calls=None, reasoning_content='pos. Oh,'), finish_reason=None, index=0, logprobs=None)
Choice(delta=ChoiceDelta(content=None, function_call=None, refusal=None, role=None, tool_calls=None, reasoning_content=' the question has a'), finish_reason=None, index=0, logprobs=None)
Choice(delta=ChoiceDelta(content=None, function_call=None, refusal=None, role=None, tool_calls=None, reasoning_content=' question mark, so'), finish_reason=None, index=0, logprobs=None)
Choice(delta=ChoiceDelta(content=None, function_call=None, refusal=None, role=None, tool_calls=None, reasoning_content=' I should make sure'), finish_reason=None, index=0, logprobs=None)
Choice(delta=ChoiceDelta(content=None, function_call=None, refusal=None, role=None, tool_calls=None, reasoning_content=' my response is appropriate'), finish_reason=None, index=0, logprobs=None)
Choice(delta=ChoiceDelta(content=None, function_call=None, refusal=None, role=None, tool_calls=None, reasoning_content='.\n\nHmm, maybe'), finish_reason=None, index=0, logprobs=None)
Choice(delta=ChoiceDelta(content=None, function_call=None, refusal=None, role=None, tool_calls=None, reasoning_content=' add a wave emoji'), finish_reason=None, index=0, logprobs=None)
Choice(delta=ChoiceDelta(content=None, function_call=None, refusal=None, role=None, tool_calls=None, reasoning_content=' at the end to'), finish_reason=None, index=0, logprobs=None)
Choice(delta=ChoiceDelta(content=None, function_call=None, refusal=None, role=None, tool_calls=None, reasoning_content=' seem approachable.'), finish_reason=None, index=0, logprobs=None)
Choice(delta=ChoiceDelta(content=None, function_call=None, refusal=None, role=None, tool_calls=None, reasoning_content=' Yeah, that sounds'), finish_reason=None, index=0, logprobs=None)
Choice(delta=ChoiceDelta(content=None, function_call=None, refusal=None, role=None, tool_calls=None, reasoning_content=' good. Let me'), finish_reason=None, index=0, logprobs=None)
Choice(delta=ChoiceDelta(content=None, function_call=None, refusal=None, role=None, tool_calls=None, reasoning_content=' put it all together'), finish_reason=None, index=0, logprobs=None)
Choice(delta=ChoiceDelta(content=None, function_call=None, refusal=None, role=None, tool_calls=None, reasoning_content='.'), finish_reason=None, index=0, logprobs=None)
Choice(delta=ChoiceDelta(content='I', function_call=None, refusal=None, role=None, tool_calls=None, reasoning_content=None), finish_reason=None, index=0, logprobs=None)
Choice(delta=ChoiceDelta(content="'m just a large", function_call=None, refusal=None, role=None, tool_calls=None, reasoning_content=None), finish_reason=None, index=0, logprobs=None)
Choice(delta=ChoiceDelta(content=' language model, so', function_call=None, refusal=None, role=None, tool_calls=None, reasoning_content=None), finish_reason=None, index=0, logprobs=None)
Choice(delta=ChoiceDelta(content=" I don't have", function_call=None, refusal=None, role=None, tool_calls=None, reasoning_content=None), finish_reason=None, index=0, logprobs=None)
Choice(delta=ChoiceDelta(content=' feelings or a personal', function_call=None, refusal=None, role=None, tool_calls=None, reasoning_content=None), finish_reason=None, index=0, logprobs=None)
Choice(delta=ChoiceDelta(content=' state, but I', function_call=None, refusal=None, role=None, tool_calls=None, reasoning_content=None), finish_reason=None, index=0, logprobs=None)
Choice(delta=ChoiceDelta(content="'m here and ready", function_call=None, refusal=None, role=None, tool_calls=None, reasoning_content=None), finish_reason=None, index=0, logprobs=None)
Choice(delta=ChoiceDelta(content=' to help you!', function_call=None, refusal=None, role=None, tool_calls=None, reasoning_content=None), finish_reason=None, index=0, logprobs=None)
Choice(delta=ChoiceDelta(content=' How can I assist', function_call=None, refusal=None, role=None, tool_calls=None, reasoning_content=None), finish_reason=None, index=0, logprobs=None)
Choice(delta=ChoiceDelta(content=' you today?', function_call=None, refusal=None, role=None, tool_calls=None, reasoning_content=None), finish_reason=None, index=0, logprobs=None)
Choice(delta=ChoiceDelta(content=' 😊', function_call=None, refusal=None, role=None, tool_calls=None, reasoning_content=None), finish_reason=None, index=0, logprobs=None)
Choice(delta=ChoiceDelta(content='', function_call=None, refusal=None, role=None, tool_calls=None, reasoning_content=None), finish_reason='stop', index=0, logprobs=None)

[rm-openai]

That's up to you! For example, ChatGPT displays the reasoning before the message, in a toggleable container.

[zeke-chin]

@rm-openai
I'm trying to get the reasoning_content part of the model's output when using the Agent class with streamed responses. However, the current output only shows RawResponsesStreamEvent events containing text deltas. How can I access the reasoning process or internal content generated by the model?

Code Example:

# Imports omitted for brevity
agent = Agent(
    model="qwq-plus",
    name="Assistant",
    instructions="You are a helpful assistant that will help me search for information",
    tools=[web_search]
)

async def main():
    result = Runner.run_streamed(agent, input="What's the latest news about new energy?")
    async for event in result.stream_events():
        print(event)

if __name__ == "__main__":
    asyncio.run(main())

Current Output:

RawResponsesStreamEvent(data=ResponseTextDeltaEvent(content_index=0, delta='According to the latest search', item_id='__fake_id__', output_index=0, type='response.output_text.delta'), type='raw_response_event')
RawResponsesStreamEvent(data=ResponseTextDeltaEvent(content_index=0, delta=' results, the latest news about new energy', item_id='__fake_id__', output_index=0, type='response.output_text.delta'), type='raw_response_event')
RawResponsesStreamEvent(data=ResponseTextDeltaEvent(content_index=0, delta=' is as follows', item_id='__fake_id__', output_index=0, type='response.output_text.delta'), type='raw_response_event')
RawResponsesStreamEvent(data=ResponseTextDeltaEvent(content_index=0, delta=':\n\n### Main', item_id='__fake_id__', output_index=0, type='response.output_text.delta'), type='raw_response_event')
...

Question:

1. How can I access the reasoning_content section that shows the model's internal reasoning process?
2. Are there specific parameters or methods needed to capture this information?
3. Should I modify the agent configuration or event handling code to retrieve this part?

Expected Behavior:
I expect to see something like:

{
    "reasoning_content": "The user asked about new energy news. I started by searching the web using the web_search tool... [full reasoning process]"
}

Notes:

• The current output only shows text deltas
• I can see the final response being built incrementally, but not the internal reasoning steps
• The documentation mentions reasoning_item_created in some examples but doesn't explain how to retrieve it

Would appreciate guidance on how to properly access the model's reasoning process details!

[weixiewen]

the same, i also checked the structed data format. there is no define about reasoning_content... and also cant findout where can take choices data customize

[github-actions]

This issue is stale because it has been open for 7 days with no activity.

[rm-openai]

@zeke-chin it looks like the qwq model you're using doesn't have a separate reasoning item? it just outputs it as part of the text