Documentation Index
Fetch the complete documentation index at: https://docs.agno.com/llms.txt
Use this file to discover all available pages before exploring further.
"""
Deepseek Thinking Mode
======================
DeepSeek V4 models run with thinking mode enabled by default, so you get
reasoning_content out of the box. Use the `use_thinking` flag to control it:
`use_thinking=True` forces it on, `use_thinking=False` turns it off for a faster,
cheaper response.
"""
from agno.agent import Agent
from agno.models.deepseek import DeepSeek
# ---------------------------------------------------------------------------
# Thinking enabled (default) - returns reasoning_content
# ---------------------------------------------------------------------------
thinking_agent = Agent(model=DeepSeek(id="deepseek-v4-flash"), markdown=True)
# ---------------------------------------------------------------------------
# Thinking disabled - faster, no reasoning_content
# ---------------------------------------------------------------------------
non_thinking_agent = Agent(
model=DeepSeek(id="deepseek-v4-flash", use_thinking=False),
markdown=True,
)
# ---------------------------------------------------------------------------
# Run Agents
# ---------------------------------------------------------------------------
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)
Run the Example
# Clone and setup repo
git clone https://github.com/agno-agi/agno.git
cd agno/cookbook/90_models/deepseek
# Create and activate virtual environment
./scripts/demo_setup.sh
source .venvs/demo/bin/activate
python thinking_mode.py