vLLM Basic

Run a Qwen2.5-7B agent on a local vLLM server in sync, async, and streaming modes.

basic.py

"""
Vllm Basic
==========

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

import asyncio

from agno.agent import Agent
from agno.models.vllm import VLLM

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

agent = Agent(
    model=VLLM(id="Qwen/Qwen2.5-7B-Instruct", top_k=20, enable_thinking=False),
    markdown=True,
)

# ---------------------------------------------------------------------------
# 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)

    # --- Async ---
    asyncio.run(agent.aprint_response("Share a 2 sentence horror story"))

    # --- Async + Streaming ---
    asyncio.run(agent.aprint_response("Share a 2 sentence horror story", stream=True))

Run the Example

1. Set up your virtual environment

   Mac

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

   uv venv --python 3.12
   .venv\Scripts\activate
   
2. Install dependencies

   uv pip install -U agno openai
   
3. Export your vLLM API key

   Mac/Linux

   export VLLM_API_KEY="your_vllm_api_key_here"
   

   $Env:VLLM_API_KEY="your_vllm_api_key_here"
   
4. Install vLLM

   Install vLLM in the environment that will serve the model:

   uv pip install -U vllm
   
5. Start vLLM

   Serve the model used by this example:

   vllm serve Qwen/Qwen2.5-7B-Instruct
   
6. Run the example

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

   python basic.py
   

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