> ## 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.

# Deep Research Visualization (Interactions)

> Generate charts and graphs from Deep Research findings with visualization="auto".

With `visualization="auto"` the agent can generate charts and graphs to support its findings. The capability is enabled by the config, but the agent only produces visuals when the prompt explicitly asks for them.

Generated images come back in the response steps (and as image deltas when streaming). Agno parses them into the response's images.

## Code

```python deep_research_visualization.py theme={null}
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(
        "Analyze global semiconductor market trends. Include graphics showing "
        "market share changes over time."
    )
```

## 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">
    Save the code above as `deep_research_visualization.py`, then run:

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