"""
Task Mode with Tool-Equipped Agents
Demonstrates task mode where member agents have real tools. The team leader
creates tasks and delegates them to agents that use web search to gather
information.
Run: .venvs/demo/bin/python cookbook/03_teams/task_mode/03_task_mode_with_tools.py
"""
from agno.agent import Agent
from agno.models.openai import OpenAIResponses
from agno.team.mode import TeamMode
from agno.team.team import Team
from agno.tools.duckduckgo import DuckDuckGoTools
# ---------------------------------------------------------------------------
# Create Members
# ---------------------------------------------------------------------------
web_researcher = Agent(
name="Web Researcher",
role="Searches the web for current information",
model=OpenAIResponses(id="gpt-5.2-mini"),
tools=[DuckDuckGoTools()],
instructions=[
"You are a web researcher.",
"Use DuckDuckGo to search for current, relevant information.",
"Summarize findings clearly with key facts and sources.",
],
)
summarizer = Agent(
name="Summarizer",
role="Synthesizes information into clear summaries",
model=OpenAIResponses(id="gpt-5.2-mini"),
instructions=[
"You are an expert summarizer.",
"Take detailed information and distill it into a clear, structured summary.",
"Highlight the most important points.",
],
)
# ---------------------------------------------------------------------------
# Create Team
# ---------------------------------------------------------------------------
research_team = Team(
name="Research Team",
mode=TeamMode.tasks,
model=OpenAIResponses(id="gpt-5.2"),
members=[web_researcher, summarizer],
instructions=[
"You are a research team leader.",
"For research requests:",
"1. Create search tasks for the Web Researcher to gather information.",
"2. Once research is done, create a task for the Summarizer to compile findings.",
"3. Set proper dependencies -- summarization depends on research being complete.",
],
show_members_responses=True,
markdown=True,
max_iterations=10,
)
# ---------------------------------------------------------------------------
# Run Team
# ---------------------------------------------------------------------------
if __name__ == "__main__":
research_team.print_response(
"What are the latest developments in large language models in 2025? "
"Find recent news and provide a structured summary."
)
