Responses are consistent for semantically equivalent queries

Temperature above 0.8 on a consistency-sensitive endpoint means the same billing question gets three different answers on three retries — one correct, one subtly wrong, one contradicting the docs. For customer support, legal, or documentation Q&A, this breaks the inference-contract taxon: users expect the same question to yield the same answer, and variance here manifests as product bugs, escalated tickets, and compliance incidents. Aggressive sampling is a feature for creative writing and a defect everywhere else.

Lower temperature to 0.3 or below for consistency-sensitive routes and set a deterministic seed where the provider supports it. Add consistency directives to the system prompt. Update the config in api/support/route.ts.

await openai.chat.completions.create({
  model: 'gpt-4o',
  temperature: 0.3,
  seed: 42,
  messages: [...]
})