Agent with Streaming

Code

cookbook/models/vllm/basic_stream.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", stream=True)

Usage

1. Create a virtual environment

   Open the Terminal and create a python virtual environment.

   Mac

   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/basic_stream.py