> ## Documentation Index
> Fetch the complete documentation index at: https://agno-v2-codex-docs-audit-20260719-0149.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Groq Agent Team

> Coordinate web search and YFinance agents in a team led by Groq Llama 3.3.

<Warning>
  For free and developer tiers, Groq will shut down `llama-3.3-70b-versatile` on August 16, 2026. Replace it with `openai/gpt-oss-120b` before that date. See [Groq deprecations](https://console.groq.com/docs/deprecations).
</Warning>

```python agent_team.py theme={null}
"""
Groq Agent Team
===============

Cookbook example for `groq/agent_team.py`.
"""

from agno.agent import Agent
from agno.models.groq import Groq
from agno.team import Team
from agno.tools.websearch import WebSearchTools
from agno.tools.yfinance import YFinanceTools

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

web_agent = Agent(
    name="Web Agent",
    role="Search the web for information",
    model=Groq(id="llama-3.3-70b-versatile"),
    tools=[WebSearchTools()],
    instructions="Always include sources",
    markdown=True,
)

finance_agent = Agent(
    name="Finance Agent",
    role="Get financial data",
    model=Groq(id="llama-3.3-70b-versatile"),
    tools=[YFinanceTools()],
    instructions="Use tables to display data",
    markdown=True,
)

agent_team = Team(
    members=[web_agent, finance_agent],
    model=Groq(
        id="llama-3.3-70b-versatile"
    ),  # You can use a different model for the team leader agent
    instructions=["Always include sources", "Use tables to display data"],
    markdown=True,
    show_members_responses=False,  # Comment to hide responses from team members
)

# Give the team a task
agent_team.print_response(
    input="Summarize the latest news about Nvidia and share its stock price?",
    stream=True,
)

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

if __name__ == "__main__":
    pass
```

## Run the Example

<Steps>
  <Snippet file="create-venv-step.mdx" />

  <Step title="Install dependencies">
    ```bash theme={null}
    uv pip install -U agno ddgs groq yfinance
    ```
  </Step>

  <Step title="Export your Groq API key">
    <CodeGroup>
      ```bash Mac/Linux theme={null}
      export GROQ_API_KEY="your_groq_api_key_here"
      ```

      ```bash Windows theme={null}
      $Env:GROQ_API_KEY="your_groq_api_key_here"
      ```
    </CodeGroup>
  </Step>

  <Step title="Replace Llama 3.3">
    Replace `llama-3.3-70b-versatile` with `openai/gpt-oss-120b` in the saved file.
  </Step>

  <Step title="Run the example">
    Save the code above as `agent_team.py`, then run:

    ```bash theme={null}
    python agent_team.py
    ```
  </Step>
</Steps>

Full source: [cookbook/90\_models/groq/agent\_team.py](https://github.com/agno-agi/agno/blob/v2.7.4/cookbook/90_models/groq/agent_team.py)