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Documentation Index

Fetch the complete documentation index at: https://docs-v1.agno.com/llms.txt

Use this file to discover all available pages before exploring further.

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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)

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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