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Code

cookbook/models/vllm/async_basic_stream.py
import asyncio

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

agent = Agent(model=VLLM(id="Qwen/Qwen2.5-7B-Instruct"), markdown=True)
asyncio.run(agent.aprint_response("Share a 2 sentence horror story", stream=True))

​
Usage

1

Create a virtual environment

Open the Terminal and create a python virtual environment.
python3 -m venv .venv
source .venv/bin/activate
2

Install Libraries

pip install -U agno openai vllm
3

Start vLLM server

vllm serve Qwen/Qwen2.5-7B-Instruct \
    --enable-auto-tool-choice \
    --tool-call-parser hermes \
    --dtype float16 \
    --max-model-len 8192 \
    --gpu-memory-utilization 0.9
4

Run Agent

python cookbook/models/vllm/async_basic_stream.py