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vllm-cli

Chen-zexi/vllm-cli

Command-line interface for serving LLM using vLLM

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

27views this month

505 stars29 forksLast push Jan 25, 2026 Python MIT

Decision brief

vllm-cli serves large language models via vLLM with a straightforward CLI interface, ideal for users preferring a command-line environment over graphical tools.

Good fit when

  • When you require an efficient and robust way to serve large language models through the command line using vLLM framework
  • If your development pipeline already heavily relies on Python scripts and you prefer not to leave your terminal

Avoid when

  • If your project demands a graphical user interface or web-based interaction for model serving
  • When ease of use with non-Python environments is a priority, as vllm-cli is designed specifically for Python users

Observed Jul 17, 2026 · Source: enrich:decision_facts

Verify the decision

Maintenance and security

Full trust report
Maintenance
Slowing (237d since push)
As of Sep 20, 2026
Provenance
Not a fork · Personal account
As of Sep 20, 2026
Security (OSV)
No lockfile
As of Jul 11, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install vllm-cli
PyPI

Similar tools

Same-category neighbours. No typed graph edges are catalogued for this tool yet.

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

Chen-zexi/vllm-cli is a Python-based tool designed to serve large language models with a command-line interface through the vLLM framework.

Capability facts

CLI
CLI entrypoint

Source: pyproject.toml:[project.scripts] · Sep 20, 2026

Languages
python

Source: github.language+pyproject.toml · Sep 20, 2026

Categories

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Sep 20, 2026)

uv venv --python 3.12 --seed
Source link

Tags

README

🚀 Hardware Optimized Profiles for GPT OSS Models New built in profiles specifically optimized for serving GPT OSS models on different GPU architectures: Optimized for NVIDIA A100 GPUs Optimized for NVIDIA H100/H200 GPUs Optimized for NVIDIA Blackwell GPUs Based on official vLLM...

For agents

This page has a .md twin and JSON over the API.

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