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

# Deep Research Streaming (Interactions)

> Stream thought summaries and progress from a Deep Research task instead of waiting for the final report.

Stream real-time progress (thought summaries, text, generated images) from a Deep Research task instead of waiting for the final report. Set `thinking_summaries="auto"` to receive intermediate reasoning during streaming. Deep Research requires background execution, which is enabled automatically.

## Code

```python deep_research_streaming.py theme={null}
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__":
    agent.print_response(
        "Research the history and impact of Google TPUs.",
        stream=True,
    )

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

## Usage

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

**1. Set your API key**

```bash theme={null}
export GOOGLE_API_KEY=xxx
```

**2. Install dependencies**

```bash theme={null}
uv pip install -U "google-genai>=2.0" agno
```

**3. Run Agent**

Save the code above as `deep_research_streaming.py`, then run:

```bash theme={null}
python deep_research_streaming.py
```


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