> ## 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.

# Structured Output

> Structured output example using Ollama with the OpenAI Responses API.

```python structured_output.py theme={null}
"""Structured output example using Ollama with the OpenAI Responses API.

This demonstrates using Pydantic models for structured output with Ollama's
Responses API endpoint.

Requirements:
- Ollama v0.13.3 or later running locally
- Run: ollama pull llama3.1:8b
"""

from typing import List

from agno.agent import Agent
from agno.models.ollama import OllamaResponses
from pydantic import BaseModel, Field

# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------


class MovieScript(BaseModel):
    name: str = Field(..., description="Give a name to this movie")
    setting: str = Field(
        ..., description="Provide a nice setting for a blockbuster movie."
    )
    ending: str = Field(
        ...,
        description="Ending of the movie. If not available, provide a happy ending.",
    )
    genre: str = Field(
        ...,
        description="Genre of the movie. If not available, select action, thriller or romantic comedy.",
    )
    characters: List[str] = Field(..., description="Name of characters for this movie.")
    storyline: str = Field(
        ..., description="3 sentence storyline for the movie. Make it exciting!"
    )


agent = Agent(
    model=OllamaResponses(id="gpt-oss:20b"),
    description="You write movie scripts.",
    output_schema=MovieScript,
)

agent.print_response("New York")

# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------

if __name__ == "__main__":
    pass
```

## Run the Example

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

**1. Install dependencies**

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

**2. Prepare Ollama**

Install and start Ollama, then pull the model used by this example:

```bash theme={null}
ollama pull gpt-oss:20b
```

**3. Run the example**

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

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

Full source: [cookbook/90\_models/ollama/responses/structured\_output.py](https://github.com/agno-agi/agno/blob/v3.0.4/cookbook/90_models/ollama/responses/structured_output.py)


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