> ## 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.

# Team Streaming

> Demonstrates sync and async streaming responses from a team.

```python team_streaming.py theme={null}
"""
Team Streaming
==============

Demonstrates sync and async streaming responses from a team.
"""

import asyncio

from agno.agent import Agent
from agno.models.openai import OpenAIResponses
from agno.team import Team
from agno.tools.yfinance import YFinanceTools
from agno.utils.pprint import apprint_run_response

# ---------------------------------------------------------------------------
# Create Members
# ---------------------------------------------------------------------------
stock_searcher = Agent(
    name="Stock Searcher",
    model=OpenAIResponses(id="gpt-5-mini"),
    role="Searches the web for information on a stock.",
    tools=[
        YFinanceTools(
            enable_stock_price=True,
            enable_analyst_recommendations=True,
        )
    ],
)

company_info_agent = Agent(
    name="Company Info Searcher",
    model=OpenAIResponses(id="gpt-5-mini"),
    role="Searches the web for information on a company.",
    tools=[
        YFinanceTools(
            enable_stock_price=False,
            enable_company_info=True,
            enable_company_news=True,
        )
    ],
)

# ---------------------------------------------------------------------------
# Create Team
# ---------------------------------------------------------------------------
team = Team(
    name="Stock Research Team",
    model=OpenAIResponses(id="gpt-5-mini"),
    members=[stock_searcher, company_info_agent],
    markdown=True,
    show_members_responses=True,
)


# ---------------------------------------------------------------------------
# Run Team
# ---------------------------------------------------------------------------
async def streaming_with_arun() -> None:
    await apprint_run_response(
        team.arun(input="What is the current stock price of NVDA?", stream=True)
    )


async def streaming_with_aprint_response() -> None:
    await team.aprint_response("What is the current stock price of NVDA?", stream=True)


if __name__ == "__main__":
    # Sync streaming
    team.print_response(
        "What is the current stock price of NVDA?",
        stream=True,
    )

    team.print_response(
        "What is the latest news for TSLA?",
        stream=True,
        show_member_responses=False,
    )

    # Async streaming
    asyncio.run(streaming_with_arun())
    # asyncio.run(streaming_with_aprint_response())
```

## Run the Example

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

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

  <Step title="Export your OpenAI API key">
    <CodeGroup>
      ```bash Mac/Linux theme={null}
      export OPENAI_API_KEY="your_openai_api_key_here"
      ```

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

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

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

Full source: [cookbook/03\_teams/08\_streaming/team\_streaming.py](https://github.com/agno-agi/agno/blob/v2.7.4/cookbook/03_teams/08_streaming/team_streaming.py)