1
Add the following code to your Python file
ollama.py
2
Set up your virtual environment
3
Install dependencies
4
Install Ollama
Follow the installation guide and run:
5
Run Agent
Documentation Index
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
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", max_tokens=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
Run Agent
python ollama.py
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