Routin
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One control plane for every model, every route, every decision.
Built for AI systems moving from experiment to production.
Route requests across frontier and private models.
Control access, policy, cost, and compliance.
Trace latency, quality, spend, and failures live.
The primary node runs in California. Asia-Pacific requests land on the Tokyo acceleration node first and are relayed back from there, cutting out a round trip across the Pacific. Everywhere else connects to the primary node directly.
From the SDK call to the streamed response, every stage is observable, throttleable and reroutable. Here is the full path a single call takes.
Point baseURL at Meteor — the official OpenAI, Anthropic and Gemini SDKs keep working unchanged.
Point baseURL at Meteor — the official OpenAI, Anthropic and Gemini SDKs keep working unchanged.
Detect which protocol the call speaks, normalise it internally, and restore the original shape on the way back.
Check the API key, organisation and project quotas, and RPM limits. Anything over budget stops right here.
Weighted pick among the providers serving that model, by group, weight and circuit state, skipping the ones already tried on this request.
Call the real provider with its own credentials. On a failure or a throttle, step back and retry against another one.
Tokens stream straight through over SSE, while usage, cost and logs are batched to storage off the response path.
Unify model access, routing, governance, observability, and cost control through one cinematic-grade infrastructure layer.
Intelligent model selection across providers, regions, and private deployments.
Centralized policy, permissions, audit trails, and budget enforcement.
Live traces for latency, quality, reliability, token flow, and spend.

Every request passes through the large model service platform — authenticated, routed to the best model, and returned over one unified protocol, observable end to end.