Deep Research Agent

from textwrap import dedent

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

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."""
)