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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

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

Install dependencies

uv pip install -U agno openai
4

Export your DeepSeek API key

  export DEEPSEEK_API_KEY="your_deepseek_api_key_here"
5

Run Agent

python deepseek.py