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"""
Openai Deep Research Agent
==========================

Cookbook example for `openai/responses/deep_research_agent.py`.
"""

from textwrap import dedent

from agno.agent import Agent
from agno.models.openai import OpenAIResponses

# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------

agent = Agent(
    model=OpenAIResponses(id="o4-mini-deep-research", max_tool_calls=1),
    instructions=dedent("""
        You are an expert research analyst with access to advanced research tools.

        When you are given a schema to use, pass it to the research tool as output_schema parameter to research tool.

        The research tool has two parameters:
        - instructions (str): The research topic/question
        - output_schema (dict, optional): A JSON schema for structured output
    """),
)

agent.print_response(
    """Research the economic impact of semaglutide on global healthcare systems.
    Do:
    - Include specific figures, trends, statistics, and measurable outcomes.
    - Prioritize reliable, up-to-date sources: peer-reviewed research, health
      organizations (e.g., WHO, CDC), regulatory agencies, or pharmaceutical
      earnings reports.
    - Include inline citations and return all source metadata.

    Be analytical, avoid generalities, and ensure that each section supports
    data-backed reasoning that could inform healthcare policy or financial modeling."""
)

# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------

if __name__ == "__main__":
    pass

​
Run the Example

# Clone and setup repo
git clone https://github.com/agno-agi/agno.git
cd agno/cookbook/90_models/openai/responses

# Create and activate virtual environment
./scripts/demo_setup.sh
source .venvs/demo/bin/activate

python deep_research_agent.py