> ## 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.

# Output Schema

> Use `output_schema` to return structured data that matches a Pydantic model.

```python output_schema.py theme={null}
"""
Output Schema
=============================

Use `output_schema` to return structured data that matches a Pydantic model.
"""

from typing import List

from agno.agent import Agent, RunOutput  # noqa
from agno.models.openai import OpenAIResponses
from pydantic import BaseModel, Field
from rich.pretty import pprint  # noqa


class BreakingNewsSummary(BaseModel):
    topic: str = Field(..., description="The topic or region being summarized")
    summary: str = Field(
        ..., description="A concise summary of the latest developments"
    )
    key_updates: List[str] = Field(
        ..., description="Important updates or headlines related to the topic"
    )
    overall_sentiment: str = Field(
        ..., description="Overall tone of the news coverage, such as positive or mixed"
    )


# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
agent = Agent(
    model=OpenAIResponses(id="gpt-5.2"),
    description="You summarize current events into clean structured outputs.",
    output_schema=BreakingNewsSummary,
)

# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    run: RunOutput = agent.run("Latest news from France?")
    pprint(run.content)
```

## 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 `output_schema.py`, then run:

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

Full source: [cookbook/02\_agents/02\_input\_output/output\_schema.py](https://github.com/agno-agi/agno/blob/v3.0.4/cookbook/02_agents/02_input_output/output_schema.py)


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