> ## Documentation Index
> Fetch the complete documentation index at: https://agno-v2.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Reasoning Agent Events

> Stream reasoning_started, reasoning_step, and reasoning_completed events from a reasoning-enabled agent run.

Capture reasoning events during streaming.

```python reasoning_agent_events.py theme={null}
"""
Reasoning Agent Events
=============================

Demonstrates how to capture reasoning events during streaming.
"""

import asyncio

from agno.agent import RunEvent
from agno.agent.agent import Agent
from agno.models.openai import OpenAIResponses

# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
finance_agent = Agent(
    model=OpenAIResponses(id="gpt-5.6"),
    reasoning_model=OpenAIResponses(id="o3-mini"),
)


async def run_agent_with_events(prompt: str):
    content_started = False
    async for run_output_event in finance_agent.arun(
        prompt,
        stream=True,
        stream_events=True,
    ):
        if run_output_event.event in [RunEvent.run_started, RunEvent.run_completed]:
            print(f"\nEVENT: {run_output_event.event}")

        if run_output_event.event in [RunEvent.reasoning_started]:
            print(f"\nEVENT: {run_output_event.event}")

        if run_output_event.event in [RunEvent.reasoning_step]:
            print(f"\nEVENT: {run_output_event.event}")
            print(f"REASONING CONTENT: {run_output_event.reasoning_content}")  # type: ignore

        if run_output_event.event in [RunEvent.reasoning_completed]:
            print(f"\nEVENT: {run_output_event.event}")

        if run_output_event.event in [RunEvent.run_content]:
            if not content_started:
                print("\nCONTENT:")
                content_started = True
            else:
                print(run_output_event.content, end="")


# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    task = (
        "Analyze the key factors that led to the signing of the Treaty of Versailles in 1919. "
        "Discuss the political, economic, and social impacts of the treaty on Germany and how it "
        "contributed to the onset of World War II. Provide a nuanced assessment that includes "
        "multiple historical perspectives."
    )
    asyncio.run(
        run_agent_with_events(
            task,
        )
    )
```

## Run the Example

<Snippet file="create-venv-step.mdx" />

**1. Install dependencies**

```bash theme={null}
uv pip install -U agno openai
```

**2. Export your OpenAI API key**

```bash Mac/Linux theme={null}
export OPENAI_API_KEY="your_openai_api_key_here"
```

```bash Windows theme={null}
$Env:OPENAI_API_KEY="your_openai_api_key_here"
```

**3. Run the example**

Save the code above as `reasoning_agent_events.py`, then run:

```bash theme={null}
python reasoning_agent_events.py
```

Full source: [cookbook/02\_agents/14\_advanced/reasoning\_agent\_events.py](https://github.com/agno-agi/agno/blob/v3.0.4/cookbook/02_agents/14_advanced/reasoning_agent_events.py)


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