Code
thinking_mode.py
Usage
1
Set up your virtual environment
2
Set your API key
3
Install dependencies
4
Run Agent
Save the code above as
thinking_mode.py, then run:Documentation Index
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
Compare a MiMo agent with use_thinking enabled against one with it disabled.
from agno.agent import Agent
from agno.models.xiaomi import MiMo
# Thinking enabled - returns reasoning_content
thinking_agent = Agent(
model=MiMo(id="mimo-v2.5-pro", use_thinking=True),
markdown=True,
)
# Thinking disabled - faster, no reasoning_content
non_thinking_agent = Agent(
model=MiMo(id="mimo-v2.5-pro", use_thinking=False),
markdown=True,
)
if __name__ == "__main__":
thinking_agent.print_response("Why is the sky blue?", stream=True)
non_thinking_agent.print_response("Why is the sky blue?", stream=True)
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activate
uv venv --python 3.12
.venv\Scripts\activate
Set your API key
export MIMO_API_KEY=xxx
Install dependencies
uv pip install -U openai agno
Run Agent
thinking_mode.py, then run:python thinking_mode.py
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