import asyncio
from typing import List
from agno.agent import Agent, RunResponse # noqa
from agno.models.openai import OpenAIChat
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 that uses JSON mode
json_mode_agent = Agent(
model=OpenAIChat(id="gpt-4o"),
description="You write movie scripts.",
response_model=MovieScript,
)
# Agent that uses structured outputs
structured_output_agent = Agent(
model=OpenAIChat(id="gpt-4o-2024-08-06"),
description="You write movie scripts.",
response_model=MovieScript,
)
asyncio.run(json_mode_agent.aprint_response("New York"))
asyncio.run(structured_output_agent.aprint_response("New York"))
Create a virtual environment
Terminal
and create a python virtual environment.python3 -m venv .venv
source .venv/bin/activate
Install libraries
pip install -U openai agno
Run Agent
python cookbook/agent_concepts/async/structured_output.py
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