Documentation Index
Fetch the complete documentation index at: /llms.txt
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Pair a local Ollama Llama 3.2 model with DeepSeek R1 as a reasoning model to solve the trolley problem.
Add the following code to your Python file
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,
)
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activate
uv venv --python 3.12
.venv\Scripts\activate
Install dependencies
uv pip install -U agno ollama
Install Ollama
ollama pull llama3.2:latest
ollama pull deepseek-r1:14b
Run Agent
python ollama_reasoning.py
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