> ## 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.

# Deep Research Multi-turn (Interactions)

Continue a Deep Research interaction across turns. Each response carries an `interaction_id`; the next turn references it via `previous_interaction_id` so only the new user message is sent on the wire. The server already has the prior research and its citations.

Persisting the interaction ID requires a database. The assistant message stores it under `provider_data`, and the next turn reads it back.

## Code

```python cookbook/90_models/google/gemini_interactions/deep_research_multi_turn.py theme={null}
from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.models.google import GeminiInteractions

agent = Agent(
    model=GeminiInteractions(
        agent="deep-research-preview-04-2026",
        thinking_summaries="auto",
    ),
    add_history_to_context=True,
    db=SqliteDb(db_file="tmp/data.db"),
    markdown=True,
)

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

    agent.print_response(
        "Dive deeper into the sulfide-electrolyte approach: who the leading "
        "labs and companies are, and what their reported milestones look like."
    )

    agent.print_response(
        "Based on everything we've covered, which approach has the clearest "
        "path to mass-market EV deployment in the next five years?"
    )
```

## 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_multi_turn.py
    ```
  </Step>
</Steps>