Complete procedures with a way back.

Deploy an authenticated loopback service that uses Ollama through its OpenAI-compatible API, exposes only three compiled read-only host probes, records content-free audit evidence, runs under a hardened systemd account, and supports controlled backup, upgrade, rollback, and removal.

Create a reproducible Linux and NVIDIA benchmark that separates time to first meaningful content, end-to-end latency, exact server-reported token throughput, memory phases, deterministic task quality, long-context retrieval, structured output, and tool-call correctness. Results remain tied to immutable artifacts, scorer revisions, deployment flags, and host state.

Build a bounded, repeatable compatibility suite for Ollama 0.32.0, LM Studio 0.4.1, and vLLM 0.23.0. The guide tests advertised models, non-streaming and streaming chat, strict structured output, forced tool calls, and the Responses endpoint while keeping provider documentation, locally measured evidence, and product positioning visibly separate.

Connect models to real capabilities with strict schemas, deterministic policy, human approval, idempotent execution, bounded retries and complete audit evidence.