logical_puzzle.py
"""
Missionaries And Cannibals Puzzle
=================================
Demonstrates built-in and DeepSeek-backed reasoning for logic puzzle solving.
"""
from agno.agent import Agent
from agno.models.deepseek import DeepSeek
from agno.models.openai import OpenAIChat
# ---------------------------------------------------------------------------
# Create Agents
# ---------------------------------------------------------------------------
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"
)
cot_agent = Agent(
model=OpenAIChat(id="gpt-4o"),
reasoning=True,
markdown=True,
)
deepseek_agent = Agent(
model=OpenAIChat(id="gpt-4o"),
reasoning_model=DeepSeek(id="deepseek-reasoner"),
markdown=True,
)
# ---------------------------------------------------------------------------
# Run Agents
# ---------------------------------------------------------------------------
if __name__ == "__main__":
print("=== Built-in Chain Of Thought ===")
cot_agent.print_response(task, stream=True, show_full_reasoning=True)
print("\n=== DeepSeek Reasoning Model ===")
deepseek_agent.print_response(task, stream=True, show_full_reasoning=True)
Run the Example
1
Set up your virtual environment
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 API keys
export DEEPSEEK_API_KEY="your_deepseek_api_key_here"
export OPENAI_API_KEY="your_openai_api_key_here"
$Env:DEEPSEEK_API_KEY="your_deepseek_api_key_here"
$Env:OPENAI_API_KEY="your_openai_api_key_here"
4
Run the example
Save the code above as
logical_puzzle.py, then run:python logical_puzzle.py