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

# Deep Research (Interactions)

Run the Deep Research managed agent through the Gemini Interactions API. The agent plans the task, searches the web, and returns a researched report with citations. The model forces `background=True` and `store=True`, and the non-streaming path polls until the result is ready.

## Code

```python cookbook/90_models/google/gemini_interactions/deep_research.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",
        visualization="auto",
    ),
    markdown=True,
)

if __name__ == "__main__":
    agent.print_response(
        "Research the current state of solid-state battery commercialization "
        "and summarize the leading approaches."
    )

    asyncio.run(
        agent.aprint_response(
            "Compare the major open-source vector databases on indexing and query latency.",
            stream=True,
        )
    )
```

## Usage

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

  <Step title="Set your API key">
    ```bash theme={null}
    export GOOGLE_API_KEY=xxx
    ```
  </Step>

  <Step title="Install dependencies">
    ```bash theme={null}
    uv pip install -U "google-genai>=2.0" agno
    ```
  </Step>

  <Step title="Run Agent">
    ```bash theme={null}
    python cookbook/90_models/google/gemini_interactions/deep_research.py
    ```
  </Step>
</Steps>