pydantic_output.py
"""
Pydantic Output
===============
Demonstrates team-level typed output using Pydantic schemas.
"""
from agno.agent import Agent
from agno.models.openai import OpenAIResponses
from agno.team import Team, TeamMode
from agno.tools.websearch import WebSearchTools
from agno.utils.pprint import pprint_run_response
from pydantic import BaseModel
class StockAnalysis(BaseModel):
symbol: str
company_name: str
analysis: str
class CompanyAnalysis(BaseModel):
company_name: str
analysis: str
class StockReport(BaseModel):
symbol: str
company_name: str
analysis: str
# ---------------------------------------------------------------------------
# Create Members
# ---------------------------------------------------------------------------
stock_searcher = Agent(
name="Stock Searcher",
model=OpenAIResponses(id="gpt-5.2"),
output_schema=StockAnalysis,
role="Searches for information on stocks and provides price analysis.",
tools=[WebSearchTools()],
)
company_info_agent = Agent(
name="Company Info Searcher",
model=OpenAIResponses(id="gpt-5.2"),
role="Searches for information about companies and recent news.",
output_schema=CompanyAnalysis,
tools=[WebSearchTools()],
)
# ---------------------------------------------------------------------------
# Create Team
# ---------------------------------------------------------------------------
team = Team(
name="Stock Research Team",
model=OpenAIResponses(id="gpt-5.2"),
mode=TeamMode.route,
members=[stock_searcher, company_info_agent],
output_schema=StockReport,
markdown=True,
)
# ---------------------------------------------------------------------------
# Run Team
# ---------------------------------------------------------------------------
if __name__ == "__main__":
response = team.run("What is the current stock price of NVDA?")
assert isinstance(response.content, StockReport)
pprint_run_response(response)
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 ddgs openai
3
Export your OpenAI API key
export OPENAI_API_KEY="your_openai_api_key_here"
$Env:OPENAI_API_KEY="your_openai_api_key_here"
4
Run the example
Save the code above as
pydantic_output.py, then run:python pydantic_output.py