Code
image_to_structured_output.py
Usage
1
Set up your virtual environment
2
Install dependencies
3
Export your OpenAI API key
4
Run Agent
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Analyze an image and stream a structured MovieScript response with output_schema.
from typing import List
from agno.agent import Agent
from agno.media import Image
from agno.models.openai import OpenAIResponses
from pydantic import BaseModel, Field
from rich.pretty import pprint
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."
)
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=OpenAIResponses(id="gpt-5.2"), output_schema=MovieScript)
response = agent.run(
"Write a movie about this image",
images=[
Image(
url="https://upload.wikimedia.org/wikipedia/commons/0/0c/GoldenGateBridge-001.jpg"
)
],
stream=True,
)
for event in response:
pprint(event.content)
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activate
uv venv --python 3.12
.venv\Scripts\activate
Install dependencies
uv pip install -U agno openai pydantic rich
Export your OpenAI API key
export OPENAI_API_KEY="your_openai_api_key_here"
$Env:OPENAI_API_KEY="your_openai_api_key_here"
Run Agent
python image_to_structured_output.py
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