Use one OpenAI-compatible API for OpenAI, Claude, Gemini, and open models. AI Badgr adds retries, fallback routing, and request tracking when providers fail.
Latency spikes and hung requests stall pipelines your users depend on.
429s and capacity squeezes show up under load—often when you need reliability most.
Upstream incidents become yours unless requests can retry and route elsewhere.
Without request IDs and route metadata, failures are harder to debug, explain, and prevent.
Not a separate “jobs” platform to learn first—an OpenAI-compatible layer with controls for retries, routing, and visibility when upstreams misbehave.
Backoff and Retry-After respect for 429s, timeouts, and transient errors—without thrashing upstreams.
When your primary route fails, you can route to configured backups instead of failing the request.
IDs and metadata so you can correlate latency, route, and outcome in the dashboard.
Keep your app on one OpenAI-compatible API while changing routes, providers, and backup policies behind the scenes.
Change base URL and API key—keep your OpenAI-style client.
import OpenAI from 'openai';
const openai = new OpenAI({
apiKey: process.env.BADGR_API_KEY,
baseURL: 'https://api.aibadgr.com/v1',
});Each request can be traced with model, route, latency, and fallback metadata.
AI Badgr adds retries, backoff, request tracking, and optional backup routing so your app has a plan when providers slow down or fail.
Green = calmer periods; yellow = degraded; red = severe failure patterns.
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