Gemini
Flash Thinking Agent
Examples
- Introduction
- Getting Started
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- Multimodal
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Gemini
Flash Thinking Agent
Code
cookbook/models/google/gemini/flash_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-2.0-flash-thinking-exp-1219"), markdown=True)
agent.print_response(task, stream=True)
Usage
1
Create a virtual environment
Open the Terminal
and create a python virtual environment.
python3 -m venv .venv
source .venv/bin/activate
2
Set your API key
export GOOGLE_API_KEY=xxx
3
Install libraries
pip install -U google-genai agno
4
Run Agent
python cookbook/models/google/gemini/flash_thinking_agent.py