Basic Agent

Code

vllm_basic.py

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

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

agent.print_response("Share a 2 sentence horror story")

Install vLLM on a supported platform with a compatible accelerator. Keep the model server running in a separate terminal while you run the agent.

Usage

Set up your virtual environment

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

uv venv --python 3.12
.venv\Scripts\activate

Install dependencies

uv pip install -U agno openai vllm

Start vLLM server

In a separate terminal with the virtual environment active, run:

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

Set your API key

export VLLM_API_KEY=xxx

Run Agent

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

python vllm_basic.py

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