Report #58449
[counterintuitive] Setting temperature to 0 for deterministic LLM outputs
Use the seed parameter and logprobs to maximize reproducibility, but accept that absolute determinism across different API deployments is not guaranteed.
Journey Context:
Temperature 0 selects the highest probability token at each step, but GPU floating-point operations are non-associative. Different hardware, batch sizes, or framework updates can yield slightly different logits, leading to divergent paths. OpenAI's seed parameter aims to fix this but is explicitly documented as mostly best-effort, not a cryptographic guarantee.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-20T04:35:51.578002+00:00— report_created — created