Lmstudio Basic

Run a Qwen model served by LM Studio with sync and streamed responses.

basic.py
"""
Lmstudio Basic
==============

Cookbook example for `lmstudio/basic.py`.
"""

from agno.agent import Agent, RunOutput  # noqa
from agno.models.lmstudio import LMStudio

# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------

agent = Agent(model=LMStudio(id="qwen2.5-7b-instruct-1m"), 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

# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    # --- Sync ---
    agent.print_response("Share a 2 sentence horror story")

    # --- Sync + Streaming ---
    agent.print_response("Share a 2 sentence horror story", stream=True)

Run the Example

Set up your virtual environment

uv venv --python 3.12
source .venv/bin/activate

Install dependencies

uv pip install -U agno openai

Prepare LM Studio

Load qwen2.5-7b-instruct-1m in LM Studio and start its local server at http://127.0.0.1:1234/v1.

Run the example

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

python basic.py

Full source: cookbook/90_models/lmstudio/basic.py