> ## Documentation Index
> Fetch the complete documentation index at: https://agno-v2.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Lmstudio Basic

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

```python basic.py theme={null}
"""
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

<Snippet file="create-venv-step.mdx" />

**1. Install dependencies**

```bash theme={null}
uv pip install -U agno openai
```

**2. 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`.

**3. Run the example**

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

```bash theme={null}
python basic.py
```

Full source: [cookbook/90\_models/lmstudio/basic.py](https://github.com/agno-agi/agno/blob/v3.0.4/cookbook/90_models/lmstudio/basic.py)


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