AI Monitoring
LLM observability — cost, tokens, latency & traces. A first-class observability pillar for AI. Track spend, token usage, latency and errors across every model and provider, with full multi-step traces, per-user and per-session cost attribution, and opt-in prompt/output capture.
Core Capabilities
Everything you need to monitor, troubleshoot, and optimize this layer of your stack out of the box.
Server-side cost & token accounting per model
Gain immediate visibility and actionable insights without complex configuration or maintenance overhead.
Auto-instrumentation for OpenAI, Anthropic, Gemini, the Vercel AI SDK, LangChain & more
Gain immediate visibility and actionable insights without complex configuration or maintenance overhead.
Multi-step agent / RAG trace waterfalls
Gain immediate visibility and actionable insights without complex configuration or maintenance overhead.
Quality scores, evals & user feedback
Gain immediate visibility and actionable insights without complex configuration or maintenance overhead.