About

LLMPing helps developers debug LLM API failures faster.

LLMPing is a lightweight toolkit for checking official provider status, explaining API errors, generating cURL tests, and separating provider incidents from key, quota, model, network, runtime, or CORS problems.

Why it exists

Official status is only one part of the incident story.

AI products often fail in ways that are hard to classify quickly. An official provider status page may be green while one project is out of quota, one model is unavailable, one runtime is blocked by CORS, or one deployment environment is using a stale key. LLMPing is designed for that middle layer between provider status pages and full production observability.

The first version focuses on practical developer actions: open the provider-owned status source, identify common error meanings, generate a minimal cURL command, and follow a short diagnostic checklist. The goal is to help a developer answer whether the problem is likely the provider, the request, the account, the runtime, or the network path.

Trust boundary

No fake live status. No key storage.

LLMPing does not invent provider status when a live source is unavailable. Provider pages link to official status sources and show troubleshooting guidance. Browser-side tests can be limited by CORS, so reliable monitoring requires server-side checks.

If a future local test mode accepts an API key, the key must stay in browser memory, must not be written to localStorage, must not be added to URLs, and must not be sent to LLMPing analytics or backend routes.

Roadmap boundary

Manual toolkit first, monitoring only after validation.

The current MVP validates search intent and developer actions: provider status views, official status clicks, error explanations, cURL copies, diagnostic completions, and early access requests. If those signals are strong, a later phase may add scheduled server-side checks, Slack or email alerts, historical latency, and team status pages.

Explain an API error Generate a cURL test Contact Maol