DeepSeek Reasoner

1. Add the following code to your Python file

   deepseek_reasoner.py

   from agno.agent import Agent
   from agno.models.deepseek import DeepSeek
   from agno.models.openai import OpenAIResponses
   
   task = (
       "You are a philosopher tasked with analyzing the classic 'Trolley Problem'. In this scenario, a runaway trolley "
       "is barreling down the tracks towards five people who are tied up and unable to move. You are standing next to "
       "a large stranger on a footbridge above the tracks. The only way to save the five people is to push this stranger "
       "off the bridge onto the tracks below. This will kill the stranger, but save the five people on the tracks. "
       "Should you push the stranger to save the five people? Provide a well-reasoned answer considering utilitarian, "
       "deontological, and virtue ethics frameworks. "
       "Include a simple ASCII art diagram to illustrate the scenario."
   )
   
   reasoning_agent = Agent(
       model=OpenAIResponses(id="gpt-5.2"),
       reasoning_model=DeepSeek(id="deepseek-reasoner"),
       markdown=True,
   )
   reasoning_agent.print_response(task, stream=True)
   
2. Set up your virtual environment

   Mac

   uv venv --python 3.12
   source .venv/bin/activate
   
3. Install dependencies

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

   Mac/Linux

     export DEEPSEEK_API_KEY="your_deepseek_api_key_here"
   
5. Run Agent

   python deepseek.py