Individual skill

agentsop-llm-engine-selection

Cross-engine decision rubric for self-hosting or recommending an LLM serving stack. Picks among vLLM, SGLang, TensorRT-LLM, TGI, llama.cpp, Ollama, and MLX as a function of (hardware × workload × constraint), not "which is fastest". Activates whenever a coder-agent must choose, defend, or migrate a serving runtime.

skills/agentsop-llm-engine-selection/SKILL.md

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Nov 6, 2026

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Repository last updated
Oct 24, 2026
License
MIT

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# LLM Engine Selection SOP

> **State-of-the-art warning.** This skill is dated **May 2026**. The inference-engine landscape moves in 3–6 month cycles (TGI exited maintenance into deprecation in late 2025; SGLang's RadixAttention regressed vLLM's lead in 2024; TensorRT-LLM dropped its proprietary-engine requirement in 2025; Ollama added concurrent-request support mid-2025). Re-verify before betting a quarter of eng budget on any choice below.

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## 1. 何时激活 (When to activate)

Activate this skill any time a coder-agent must:

- **Pick** a serving stack for a new project (production hosting / batch / edge / dev laptop / multi-tenant SaaS / structured-output service).
- **Defend** an existing stack against a "let's switch to X" pressure.
- **Migrate**: justify or block a swap (e.g. TGI → vLLM, Ollama → vLLM, vLLM → TensorRT-LLM).
- **Mix**: design a multi-tier deployment (e.g. premium tier on TensorRT-LLM, free tier on vLLM-AWQ, dev on Ollama).