If you've ever tried to seriously evaluate multiple LLM providers, you know the drill: another signup form, another API key format, another billing page, another rate-limit policy. Before you write a single line of your actual app, you've already spent days on plumbing.
This post describes how we consolidated all of that into a single gateway — and how you can try it with a free token trial.
The problem
- N providers = N sets of credentials to rotate and protect
- Slightly different APIs (chat completions vs responses vs vendor-specific quirks)
- No unified view of what each call cost, which models were actually used, and how often the cache saved tokens
- One provider's 429 or 504 can kill your request flow unless you build retries yourself
The approach: one OpenAI-compatible gateway
APIGOTO sits between your app and the model vendors:
- Unified endpoint — point your existing OpenAI client at one base URL, switch models by name.
- Credential management & health checks — platform credentials are monitored; unhealthy or rate-limited credentials are taken out of rotation automatically.
- Failover with a retry chain — on a 429 or 504 the gateway retries with another vendor/credential when available, and logs the full chain so you can see exactly what happened.
- Usage accounting — per-call logs with input/output/cache-read tokens, cost and cache-hit rates, per user and per model.
- A desktop client — for teammates who never want to see an API key.
The free trial
We're running a free TOKEN trial covering 200+ models. The exact quota, validity and eligible models change over time, so check the current rules on the site rather than trusting any screenshot (including ours).
Who this is for
- Developers evaluating multiple models for a project
- Small teams that want one place to manage model access and audit usage
- Non-technical users who'd rather use a client than an API
Questions and feedback welcome in the comments — especially on retry/failover design and how you'd want usage accounting to look.
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