json_output.py
"""
Deepinfra Json Output
=====================
Cookbook example for `deepinfra/json_output.py`.
"""
from typing import List
from agno.agent import Agent, RunOutput # noqa
from agno.models.deepinfra import DeepInfra # noqa
from pydantic import BaseModel, Field
from rich.pretty import pprint # noqa
# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
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
agent = Agent(
model=DeepInfra(id="microsoft/phi-4"),
description="You write movie scripts.",
output_schema=MovieScript,
)
# Get the response in a variable
# response: RunOutput = agent.run("New York")
# pprint(response.content)
agent.print_response("New York")
# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
pass
Run the Example
1
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activate
uv venv --python 3.12
.venv\Scripts\activate
2
Install dependencies
uv pip install -U agno openai
3
Export your DeepInfra API key
export DEEPINFRA_API_KEY="your_deepinfra_api_key_here"
$Env:DEEPINFRA_API_KEY="your_deepinfra_api_key_here"
4
Run the example
Save the code above as
json_output.py, then run:python json_output.py