Devs debate multi-LLM testing workflows

Multi-model testing is a real friction point that no standard tooling has fully solved yet — the fact that this question resonates points to a gap in the ecosystem.

• –Most developers default to one primary model, but serious experimentation requires side-by-side comparison across APIs and local runtimes
• –Tools like LangChain, PromptFoo, and Ollama partially address this, but unified context management across hosted and local models remains clunky
• –Custom scripts are often the pragmatic answer, but they don't scale well as the number of models grows
• –This discussion reflects broader demand for purpose-built LLM evaluation and benchmarking frameworks that go beyond simple A/B prompt testing