reasoning_agent.py
Run the Example
1
Set up your virtual environment
2
Install dependencies
3
Export your DeepSeek API key
4
Run the example
Save the code above as
reasoning_agent.py, then run:Documentation Index
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Solve the missionaries and cannibals puzzle with DeepSeek V4 Pro reasoning.
"""
Deepseek Reasoning Agent
========================
Cookbook example for `deepseek/reasoning_agent.py`.
"""
from agno.agent import Agent
from agno.models.deepseek import DeepSeek
# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
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=DeepSeek(
id="deepseek-v4-pro",
),
markdown=True,
)
agent.print_response(task, stream=True)
# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
pass
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 openai
Export your DeepSeek API key
export DEEPSEEK_API_KEY="your_deepseek_api_key_here"
$Env:DEEPSEEK_API_KEY="your_deepseek_api_key_here"
Run the example
reasoning_agent.py, then run:python reasoning_agent.py
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