Traeco

Traeco ingests execution traces from AI agents and transforms the raw observability data into concrete cost‑saving recommendations. By linking what happened in a trace with the associated provider billing, it highlights specific parts of a workflow that drive unnecessary spend and quantifies the potential dollar impact of each suggested change.

The platform is aimed at teams that build or operate agents using large‑language‑model services such as OpenAI, Anthropic, Google AI, Cohere, LangChain, CrewAI and similar providers. It requires only a two‑line SDK integration that auto‑instruments every LLM call, delivering a first cost report within minutes and offering dashboards for cost, latency, and token usage.

What distinguishes Traeco is its end‑to‑end flow from trace collection to prescriptive optimization, providing rule‑based recommendations and alerts without needing code modifications. The product is currently in beta and positioned as an experimental cost‑intelligence tool for AI‑driven applications.