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Run a synchronous Agno agent against a local Ollama llama3.1:8b model and print its response.
from agno.agent import Agent, RunOutput # noqa
from agno.models.ollama import Ollama
agent = Agent(model=Ollama(id="llama3.1:8b"), markdown=True)
# Get the response in a variable
# run: RunOutput = agent.run("Share a 2 sentence horror story")
# print(run.content)
# Print the response in the terminal
agent.print_response("Share a 2 sentence horror story")
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activate
uv venv --python 3.12
.venv\Scripts\activate
Install Ollama
ollama pull llama3.1:8b
Install dependencies
uv pip install -U ollama agno
Run Agent
basic.py, then run:python basic.py
from agno.agent import Agent
from agno.models.ollama import Ollama
# No local setup required - just set OLLAMA_API_KEY
agent = Agent(model=Ollama(id="gpt-oss:120b-cloud"))
agent.print_response("Share a 2 sentence horror story")
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