VernLLM vs Wattfare

The LLM call framework. Resilience, observability, and control for every call.

Users connect, set a spending cap, and you call any model through one SDK, charged to them, not you.

About VernLLM

The LLM call framework. Resilience, observability, and control for every call. LLM calls fail in ways plain SDK calls do not handle: timeouts, rate limit errors, a provider having an outage, or a request that just hangs. VernLLM adds retries with backoff, a circuit breaker, provider fallback, rate limiting, and caching around your existing client, so a single bad call does not take down your app. VernLLM runs in your own process, so there is no extra network hop or proxy to maintain.

About Wattfare

Users connect, set a spending cap, and you call any model through one SDK, charged to them, not you. OpenAI-compatible Works with the Vercel AI SDK ~5-min integration. One button connects a user's inference budget to your app, metered, capped, and revocable. The problem AI costs are the one line item you can't predict. Every AI app makes the same uncomfortable bet: price high enough to survive your power users, ration usage so nobody hurts you, or quietly lose money on the heavy ones.