Basic Stream

Stream a synchronous Agno agent’s response from a local Ollama llama3.1:8b model with stream=True.

Code

basic.py

from typing import Iterator  # noqa
from agno.agent import Agent, RunOutputEvent  # noqa
from agno.models.ollama import Ollama

agent = Agent(model=Ollama(id="llama3.1:8b"), markdown=True)

# Get the response in a variable
# run_response: Iterator[RunOutputEvent] = agent.run("Share a 2 sentence horror story", stream=True)
# for chunk in run_response:
#     print(chunk.content)

# Print the response in the terminal
agent.print_response("Share a 2 sentence horror story", stream=True)

Usage

1. Set up your virtual environment

   Mac

   uv venv --python 3.12
   source .venv/bin/activate
   
2. Install Ollama

   Follow the Ollama installation guide and run:

   ollama pull llama3.1:8b
   
3. Install dependencies

   uv pip install -U ollama agno
   
4. Run Agent

   Save the code above as basic.py, then run:

   python basic.py
   

Cloud Alternative

For easier setup without local installation, use Ollama Cloud with your API key:

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", stream=True)