Documentation IndexFetch the complete documentation index at: /llms.txtUse this file to discover all available pages before exploring further.
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
Example showing structured output with the Interactions API.
""" Gemini Interactions - Structured Output ======================================== Example showing structured output with the Interactions API. Uses Pydantic models to enforce JSON schema on responses. """ from agno.agent import Agent from agno.models.google import GeminiInteractions from pydantic import BaseModel, Field # --------------------------------------------------------------------------- # Define output schema # --------------------------------------------------------------------------- class MovieReview(BaseModel): title: str = Field(description="The movie title") year: int = Field(description="Release year") genre: str = Field(description="Primary genre") rating: float = Field(description="Rating out of 10") summary: str = Field(description="Brief review summary") # --------------------------------------------------------------------------- # Create Agent # --------------------------------------------------------------------------- agent = Agent( model=GeminiInteractions(id="gemini-3.5-flash"), output_schema=MovieReview, markdown=True, ) # --------------------------------------------------------------------------- # Run Agent # --------------------------------------------------------------------------- if __name__ == "__main__": response = agent.run("Write a review of The Matrix (1999)") if response.content: # When using output_schema, the framework parses the response into # the Pydantic model automatically. response.content is a MovieReview object. review = response.content if isinstance(review, MovieReview): print(f"Title: {review.title}") print(f"Year: {review.year}") print(f"Genre: {review.genre}") print(f"Rating: {review.rating}/10") print(f"Summary: {review.summary}") else: print(f"Raw response: {review}")
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 google-genai
Export your Google API key
export GOOGLE_API_KEY="your_google_api_key_here"
$Env:GOOGLE_API_KEY="your_google_api_key_here"
Run the example
structured_output.py
python structured_output.py
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