Async Team with Tools

This example demonstrates how to create an async team with various tools for information gathering using multiple agents with different tools (Wikipedia, DuckDuckGo, AgentQL) to gather comprehensive information asynchronously.

Code

cookbook/examples/teams/tools/03_async_team_with_tools.py

"""
This example demonstrates how to create an async team with various tools for information gathering.

The team uses multiple agents with different tools (Wikipedia, DuckDuckGo, AgentQL) to
gather comprehensive information about a company asynchronously.
"""

import asyncio
from uuid import uuid4

from agno.agent.agent import Agent
from agno.models.anthropic import Claude
from agno.models.mistral import MistralChat
from agno.models.openai import OpenAIChat
from agno.team import Team
from agno.tools.agentql import AgentQLTools
from agno.tools.duckduckgo import DuckDuckGoTools
from agno.tools.wikipedia import WikipediaTools

# Wikipedia search agent
wikipedia_agent = Agent(
    name="Wikipedia Agent",
    role="Search wikipedia for information",
    model=MistralChat(id="mistral-large-latest"),
    tools=[WikipediaTools()],
    instructions=[
        "Find information about the company in the wikipedia",
    ],
)

# Web search agent
website_agent = Agent(
    name="Website Agent",
    role="Search the website for information",
    model=OpenAIChat(id="gpt-5-mini"),
    tools=[DuckDuckGoTools()],
    instructions=[
        "Search the website for information",
    ],
)

# Define custom AgentQL query for specific data extraction (see https://docs.agentql.com/concepts/query-language)
custom_query = """
{
    title
    text_content[]
}
"""

# Generate unique IDs
user_id = str(uuid4())
id = str(uuid4())

# Create the company information gathering team
company_info_team = Team(
    name="Company Info Team",
    id=id,
    model=Claude(id="claude-3-7-sonnet-latest"),
    tools=[AgentQLTools(agentql_query=custom_query)],
    members=[
        wikipedia_agent,
        website_agent,
    ],
    markdown=True,
    instructions=[
        "You are a team that finds information about a company.",
        "First search the web and wikipedia for information about the company.",
        "If you can find the company's website URL, then scrape the homepage and the about page.",
    ],
    show_members_responses=True,
)

if __name__ == "__main__":
    asyncio.run(
        company_info_team.aprint_response(
            "Write me a full report on everything you can find about Agno, the company building AI agent infrastructure.",
            stream=True,
            stream_events=True,
        )
    )

Usage

1. Create a virtual environment

   Open the Terminal and create a python virtual environment.

   Mac

   python3 -m venv .venv
   source .venv/bin/activate
   
2. Install required libraries

   pip install agno wikipedia ddgs agentql
   
3. Set environment variables

   export OPENAI_API_KEY=****
   export ANTHROPIC_API_KEY=****
   export MISTRAL_API_KEY=****
   export AGENTQL_API_KEY=****
   
4. Run the agent

   python cookbook/examples/teams/tools/03_async_team_with_tools.py