Ollama DeepSeek R1

Pair a local Ollama Llama 3.2 model with DeepSeek R1 as a reasoning model to solve the trolley problem.

1. Add the following code to your Python file

   ollama_reasoning.py

   from agno.agent import Agent
   from agno.models.ollama.chat import Ollama
   
   agent = Agent(
       model=Ollama(id="llama3.2:latest"),
       reasoning_model=Ollama(id="deepseek-r1:14b", options={"num_predict": 4096}),
   )
   agent.print_response(
       "Solve the trolley problem. Evaluate multiple ethical frameworks. "
       "Include an ASCII diagram of your solution.",
       stream=True,
   )
   
2. Set up your virtual environment

   Mac

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

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

   uv pip install -U agno ollama
   
4. Install Ollama

   Follow the installation guide and run:

   ollama pull llama3.2:latest
   ollama pull deepseek-r1:14b
   
5. Run Agent

   python ollama_reasoning.py