Code
cookbook/90_models/google/gemini/thinking_agent.py
from agno.agent import Agent
from agno.models.google import Gemini
task = (
"Three missionaries and three cannibals need to cross a river. "
"They have a boat that can carry up to two people at a time. "
"If, at any time, the cannibals outnumber the missionaries on either side of the river, the cannibals will eat the missionaries. "
"How can all six people get across the river safely? Provide a step-by-step solution and show the solutions as an ascii diagram"
)
agent = Agent(
model=Gemini(
id="gemini-2.5-pro",
thinking_budget=1280, # Enable thinking with token budget
include_thoughts=True, # Include thought summaries in response
),
markdown=True,
)
agent.print_response(task, stream=True)
Usage
1
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activate
uv venv --python 3.12
.venv\Scripts\activate
2
Set your API key
export GOOGLE_API_KEY=xxx
3
Install dependencies
uv pip install -U google-genai agno
4
Run Agent
python cookbook/90_models/google/gemini/thinking_agent.py