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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.

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.

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Code

cookbook/90_models/google/gemini_interactions/deep_research_visualization.py
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

1

Set up your virtual environment

uv venv --python 3.12
source .venv/bin/activate
2

Set your API key

export GOOGLE_API_KEY=xxx
3

Install dependencies

uv pip install -U "google-genai>=2.0" agno
4

Run Agent

python cookbook/90_models/google/gemini_interactions/deep_research_visualization.py