[Feature Request] Add pip, conda, and Docker support for easier environment setup

[BaoZhuhan]

Hi GeeeekExplorer,

I’ve been exploring nano-vLLM and really appreciate the lightweight design and clean Python API.

I noticed that currently the project primarily uses pyproject.toml/UV for dependency management. I’d like to contribute by adding support for more common environment setups:

• pip: provide requirements.txt so users can install with pip.
• conda: provide environment.yml for conda users, including CUDA support.
• Docker: provide a Dockerfile (and optionally docker-compose.yml) to enable reproducible deployments.

The goal is to make it easier for a wider audience to start using nano-vLLM without changing core logic or architecture.

Before I start, I wanted to check with you if this aligns with the project’s contribution guidelines or if you have any preferences on how to structure these additions.

Thanks!