Basic

Code

cookbook/models/llama_cpp/basic.py

from agno.agent import Agent, RunOutput  # noqa
from agno.models.llama_cpp import LlamaCpp

agent = Agent(model=LlamaCpp(id="ggml-org/gpt-oss-20b-GGUF"), 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")

Usage

1. Create a virtual environment

   Open the Terminal and create a python virtual environment.

   Mac

   python3 -m venv .venv
   source .venv/bin/activate
   
2. Install LlamaCpp

   Follow the LlamaCpp installation guide and start the server:

   llama-server -hf ggml-org/gpt-oss-20b-GGUF --ctx-size 0 --jinja -ub 2048 -b 2048
   
3. Install libraries

   pip install -U agno
   
4. Run Agent

   Mac

   python cookbook/models/llama_cpp/basic.py