DeepSeek Reasoning Agent

Solve the missionaries and cannibals puzzle with DeepSeek V4 Pro reasoning.

reasoning_agent.py

"""
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

Run the Example

1. Set up your virtual environment

   Mac

   uv venv --python 3.12
   source .venv/bin/activate
   

   uv venv --python 3.12
   .venv\Scripts\activate
   
2. Install dependencies

   uv pip install -U agno openai
   
3. Export your DeepSeek API key

   Mac/Linux

   export DEEPSEEK_API_KEY="your_deepseek_api_key_here"
   

   $Env:DEEPSEEK_API_KEY="your_deepseek_api_key_here"
   
4. Run the example

   Save the code above as reasoning_agent.py, then run:

   python reasoning_agent.py
   

Full source: cookbook/90_models/deepseek/reasoning_agent.py