Documentation Index
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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
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activate
Set your API key
export GOOGLE_API_KEY=xxx
Install dependencies
uv pip install -U "google-genai>=2.0" agno
Run Agent
python cookbook/90_models/google/gemini_interactions/multi_turn.py