> ## Documentation Index
> Fetch the complete documentation index at: https://spacesail.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Team Streaming Responses

This example demonstrates streaming responses from a team using specialized agents with financial tools to provide real-time stock information with streaming output.

## Code

```python cookbook/examples/teams/streaming/01_team_streaming.py theme={null}
"""
This example demonstrates streaming responses from a team.

The team uses specialized agents with financial tools to provide real-time
stock information with streaming output.
"""

from typing import Iterator  # noqa
from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.team import Team
from agno.tools.exa import ExaTools

# Stock price and analyst data agent
stock_searcher = Agent(
    name="Stock Searcher",
    model=OpenAIChat(id="gpt-5-mini"),
    role="Searches the web for information on a stock.",
    tools=[
        ExaTools(
            include_domains=["cnbc.com", "reuters.com", "bloomberg.com", "wsj.com"],
            text=False,
            show_results=True,
            highlights=False,
        )
    ],
)

# Company information agent
company_info_agent = Agent(
    name="Company Info Searcher",
    model=OpenAIChat(id="gpt-5-mini"),
    role="Searches the web for information on a stock.",
    tools=[
        ExaTools(
            include_domains=["cnbc.com", "reuters.com", "bloomberg.com", "wsj.com"],
            text=False,
            show_results=True,
            highlights=False,
        )
    ],
)

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

# Test streaming response
team.print_response(
    "What is the current stock price of NVDA?",
    stream=True,
    stream_events=True,
)
```

## Usage

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

  <Step title="Install required libraries">
    ```bash theme={null}
    pip install agno exa_py
    ```
  </Step>

  <Step title="Set environment variables">
    ```bash theme={null}
    export OPENAI_API_KEY=****
    export EXA_API_KEY=****
    ```
  </Step>

  <Step title="Run the agent">
    ```bash theme={null}
    python cookbook/examples/teams/streaming/01_team_streaming.py
    ```
  </Step>
</Steps>