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Code

cookbook/models/ibm/watsonx/structured_output.py
from typing import List

from agno.agent import Agent, RunResponse
from agno.models.ibm import WatsonX
from pydantic import BaseModel, Field
from rich.pretty import pprint


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!"
    )


movie_agent = Agent(
    model=WatsonX(id="ibm/granite-20b-code-instruct"),
    description="You help people write movie scripts.",
    response_model=MovieScript,
)

# Get the response in a variable
# movie_agent: RunResponse = movie_agent.run("New York")
# pprint(movie_agent.content)

movie_agent.print_response("New York")

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Usage

1

Create a virtual environment

Open the Terminal and create a python virtual environment.
python3 -m venv .venv
source .venv/bin/activate
2

Set your API key

export IBM_WATSONX_API_KEY=xxx
export IBM_WATSONX_PROJECT_ID=xxx
3

Install libraries

pip install -U ibm-watsonx-ai pydantic rich agno
4

Run Agent

python cookbook/models/ibm/watsonx/structured_output.py
This example shows how to use structured output with IBM WatsonX. It defines a Pydantic model MovieScript with various fields and their descriptions, then creates an agent using this model as the response_model. The model’s output will be parsed into this structured format.