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

# Gemini Interactions - Deep Research streaming

> Stream real-time progress (thought summaries, text, generated images) from a Deep Research task instead of waiting for the final report.

```python deep_research_streaming.py theme={null}
"""
Gemini Interactions - Deep Research streaming
==============================================

Stream real-time progress (thought summaries, text, generated images) from
a Deep Research task instead of waiting for the final report.

`thinking_summaries="auto"` is required to receive intermediate reasoning
during streaming; without it the stream may only deliver the final result.
Background execution is required for agents and is enabled automatically.
"""

import asyncio

from agno.agent import Agent
from agno.models.google import GeminiInteractions

agent = Agent(
    model=GeminiInteractions(
        agent="deep-research-preview-04-2026",
        thinking_summaries="auto",
    ),
    markdown=True,
)

if __name__ == "__main__":
    # --- Sync streaming ---
    agent.print_response(
        "Research the history and impact of Google TPUs.",
        stream=True,
    )

    # --- Async streaming ---
    asyncio.run(
        agent.aprint_response(
            "Research the current state of open-source LLM inference engines.",
            stream=True,
        )
    )
```

## Run the Example

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

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

  <Step title="Export your Google API key">
    <CodeGroup>
      ```bash Mac/Linux theme={null}
      export GOOGLE_API_KEY="your_google_api_key_here"
      ```

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

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

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

Full source: [cookbook/90\_models/google/gemini\_interactions/deep\_research\_streaming.py](https://github.com/agno-agi/agno/blob/main/cookbook/90_models/google/gemini_interactions/deep_research_streaming.py)