Multi-turn Conversation (Interactions)

Code

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

from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.models.google import GeminiInteractions

agent = Agent(
    model=GeminiInteractions(id="gemini-3-flash-preview"),
    add_history_to_context=True,
    db=SqliteDb(db_file="tmp/data.db"),
    markdown=True,
)

if __name__ == "__main__":
    # First turn - establishes the interaction
    agent.print_response("My name is Alice and I love hiking in the mountains.")

    # Second turn - references the previous interaction for context
    agent.print_response("What did I just tell you about myself?")

    # Third turn - continues the conversation chain
    agent.print_response(
        "Suggest a hiking destination based on what you know about me."
    )

Usage

1. Set up your virtual environment

   Mac

   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/multi_turn.py