thinking.py
Run the Example
1
Set up your virtual environment
2
Install dependencies
3
Export your Google API key
4
Run the example
Save the code above as
thinking.py, then run:Documentation Index
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
Example showing thinking/reasoning with the Gemini Interactions API.
"""
Gemini Interactions - Thinking
===============================
Example showing thinking/reasoning with the Gemini Interactions API.
"""
import asyncio
from agno.agent import Agent
from agno.models.google import GeminiInteractions
# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
agent = Agent(
model=GeminiInteractions(
id="gemini-3.5-flash",
thinking_level="high",
),
markdown=True,
)
# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
# --- Sync ---
agent.print_response(
"Solve: If a train travels at 60 mph for 2.5 hours, then at 80 mph for 1.5 hours, what is the total distance and average speed?"
)
# --- Streaming ---
asyncio.run(
agent.aprint_response(
"Explain why the sum of angles in a triangle is always 180 degrees.",
stream=True,
)
)
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activate
uv venv --python 3.12
.venv\Scripts\activate
Install dependencies
uv pip install -U agno google-genai
Export your Google API key
export GOOGLE_API_KEY="your_google_api_key_here"
$Env:GOOGLE_API_KEY="your_google_api_key_here"
Run the example
thinking.py, then run:python thinking.py
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