Tracer

Founded by Adam Rida

Route prompts across ensembles of open models through a single OpenAI-compatible API endpoint

Pricing model

Demo

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use Tracer to run ensembles of specialized open-weight models through a single OpenAI-compatible API endpoint. The system coordinates different models across chat, coding, and autonomous agents, assigning the right amount of compute to each task. It automatically handles model routing and learns from production traces to decide when to answer locally or defer to larger language models. This lets your engineering team cut token costs, maintain consistent response quality, and adapt model ensembles directly to your specific enterprise workloads without rebuilding infrastructure.

What Tracer does

Route API requests to appropriate specialized modelsTrain local surrogate models on production tracesEvaluate teacher agreement on classification benchmarksConfigure fallback rules for uncertain model outputsSwap standard OpenAI API keys with Tracer endpointsMonitor token usage and inference compute across workloadsSingle OpenAI-compatible API endpoint for multiple modelsDynamic model routing based on task complexitySurrogate model training from production trace dataLocal classification using lightweight acceptor gatesAutomatic deferral of uncertain queries to larger modelsCustom model coordination adapted to specific workloads