Async Structured Output Agent

Run an async Mistral Small agent that searches the web and requests a MovieScript response.

Code

async_structured_output.py
import asyncio
from typing import List

from agno.agent import Agent, RunOutput  # noqa
from agno.models.mistral import MistralChat
from agno.tools.websearch import WebSearchTools
from pydantic import BaseModel, Field
from rich.pretty import pprint  # noqa

class MovieScript(BaseModel):
    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.",
    )
    name: str = Field(..., description="Give a name to this movie")
    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=MistralChat(
        id="mistral-small-latest",
    ),
    tools=[WebSearchTools()],
    description="You help people write movie scripts.",
    output_schema=MovieScript,
)

asyncio.run(agent.aprint_response("Find a cool movie idea about London and write it."))

output_schema describes the expected type. If parsing or validation fails, result.content can remain a string. Before accessing schema fields in a run result, use isinstance(result.content, YourSchema), replacing YourSchema with the class you passed as output_schema.

Usage

Set up your virtual environment

uv venv --python 3.12
source .venv/bin/activate

Set your API key

export MISTRAL_API_KEY=xxx

Install dependencies

uv pip install -U mistralai ddgs agno

Run Agent

Save the code above as async_structured_output.py, then run:

python async_structured_output.py