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Documentation Index

Fetch the complete documentation index at: https://docs-v1.agno.com/llms.txt

Use this file to discover all available pages before exploring further.

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Code

cookbook/reasoning/models/ollama/reasoning_model_deepseek.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", max_tokens=4096),
)
agent.print_response(
    "Solve the trolley problem. Evaluate multiple ethical frameworks. "
    "Include an ASCII diagram of your solution.",
    stream=True,
)

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Usage

1

Create a virtual environment

Open the Terminal and create a python virtual environment.
python3 -m venv .venv
source .venv/bin/activate
2

Install Ollama

Follow the installation guide and run:
ollama pull llama3.2:latest
3

Install libraries

pip install -U ollama agno
4

Run Agent

python cookbook/reasoning/models/ollama/reasoning_model_deepseek.py