from typing import List
from agno.agent import Agent, RunResponse # noqa
from agno.models.litellm import LiteLLM
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!"
)
json_mode_agent = Agent(
model=LiteLLM(id="gpt-4o"),
description="You write movie scripts.",
response_model=MovieScript,
debug_mode=True,
)
json_mode_agent.print_response("New York")
Create a virtual environment
Terminal
and create a python virtual environment.python3 -m venv .venv
source .venv/bin/activate
Set your API key
export LITELLM_API_KEY=xxx
Install libraries
pip install -U litellm openai agno
Run Agent
python cookbook/models/litellm/structured_output.py
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