LLM Consistency Diagnostic

TL;DR

A reality check on why your LLM prompts fail randomly when the provider pushes a silent update or the temperature fluctuates.

Who is this actually for?

Developers who are tired of playing whack-a-mole with non-deterministic model outputs in production.

The Good

• Highlights the critical importance of model versioning and pinning specific releases.
• Exposes the myth that LLMs behave like stable, predictable databases.

The Catch (Potential Downsides)

It points out the problem without offering a fix. You are still stuck building on shifting sand and will need expensive eval pipelines to stay sane.