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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. Background execution is required for agents and is enabled automatically.

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Code

cookbook/90_models/google/gemini_interactions/deep_research_streaming.py
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,
        )
    )

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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_streaming.py