use_json_mode=True requests a generic JSON object from the provider. The output_schema still guides the prompt and parses the result, but the provider does not enforce that schema. Remove use_json_mode=True to use provider-native structured output.json_schema_output.py
"""
JSON Schema Output
==================
Demonstrates provider-native JSON schema output for team responses.
"""
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
# ---------------------------------------------------------------------------
# Setup
# ---------------------------------------------------------------------------
stock_schema = {
"type": "json_schema",
"json_schema": {
"name": "StockAnalysis",
"schema": {
"type": "object",
"properties": {
"symbol": {"type": "string", "description": "Stock ticker symbol"},
"company_name": {"type": "string", "description": "Company name"},
"analysis": {"type": "string", "description": "Brief analysis"},
},
"required": ["symbol", "company_name", "analysis"],
"additionalProperties": False,
},
},
}
# ---------------------------------------------------------------------------
# Create Members
# ---------------------------------------------------------------------------
stock_searcher = Agent(
name="Stock Searcher",
model=OpenAIResponses(id="gpt-5.2"),
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.",
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=stock_schema,
use_json_mode=True,
markdown=True,
)
# ---------------------------------------------------------------------------
# Run Team
# ---------------------------------------------------------------------------
if __name__ == "__main__":
response = team.run("What is the current stock price of NVDA?")
assert isinstance(response.content, dict)
assert response.content_type == "dict"
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
json_schema_output.py, then run:python json_schema_output.py