integration guide

OpenAI compatible gateway

Plan an OpenAI-compatible gateway migration with route parity, provider fallback, cost controls, and paid review evidence.

What searchers usually need

Teams want OpenAI-compatible APIs without locking every app to one provider or losing cost visibility.

When this matters

  • The team needs provider choice, cost, fallback, and owner approval in one place.
  • Existing app traffic depends on OpenAI-compatible behavior and cannot tolerate unclear route changes.
  • Reviewers need a short evidence package rather than a scattered thread of screenshots and assumptions.

Product-led checklist

Map current API calls, model aliases, provider choices, retry rules, and the expected gateway behavior.

  • Input: Add one current endpoint, model alias, provider target, fallback provider, and error handling requirement.
  • Output: A migration checklist with compatibility notes, route tests, pricing plan, and owner signoff.
  • Limit: remove secrets, raw API keys, customer data, and regulated personal information before submission.

How Bifrost Gateway Cloud supports it

  1. Capture provider profiles, model aliases, route purpose, and budget guardrails.
  2. Map fallback policy, review mode, region, and owner signoff before package selection.
  3. Generate a gated workspace preview with usage notes, risk flags, and export fields.
  4. Route the team through pricing and product-domain checkout before unlocking paid workflow history.

What a strong output includes

  • Route summary with provider and fallback assumptions.
  • Cost and usage notes matched to the selected package.
  • Team comments, owner, review state, and support handoff path.
  • Exportable report or receipt for later audit.

Fit and limits

Use Bifrost Gateway Cloud when a gateway decision needs repeatable evidence and plan-aware checkout. A spreadsheet is enough for a one-off, low-risk estimate with no provider fallback, team review, or handoff requirement.