Code
cookbook/models/vllm/code_generation.py
Usage
1
Create a virtual environment
Open the
Terminal and create a python virtual environment.2
Install Libraries
3
Start vLLM server
4
Run Agent
Documentation Index
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
from agno.agent import Agent
from agno.models.vllm import VLLM
agent = Agent(
model=VLLM(id="deepseek-ai/deepseek-coder-6.7b-instruct"),
description="You are an expert Python developer.",
markdown=True,
)
agent.print_response(
"Write a Python function that returns the nth Fibonacci number using dynamic programming."
)
Create a virtual environment
Terminal and create a python virtual environment.python3 -m venv .venv
source .venv/bin/activate
python3 -m venv .venv
.venv/scripts/activate
Install Libraries
pip install -U agno openai vllm
Start vLLM server
vllm serve deepseek-ai/deepseek-coder-6.7b-instruct \
--dtype float32 \
--tool-call-parser pythonic
Run Agent
python cookbook/models/vllm/code_generation.py