The Most Dense
Observability Engine

14+ purpose-built modules to give you total control over your LLM stack. No generic dashboards, just raw engineering power.

Agent Timeline

Visual replay of every tool call and reasoning step in your agentic workflows.

Semantic Drift

Real-time monitoring of model output quality vs. your ground truth benchmarks.

Cost Trees

Recursive cost attribution for complex agent chains and sub-agent calls.

PII Redactor

Automatic detection and masking of 50+ types of sensitive data before export.

Local Proxy

Ultra-low latency proxy that runs on your local machine for agent coding.

Budget Guards

Hard and soft limits on token usage per user, per session, or per model.

Vector Search

Semantic search across your entire inference history to find similar prompts.

Inference Metrics

P99 latency, tokens per second, and time-to-first-token tracking.

Prompt Debugger

Interactive debugger for refining system prompts with side-by-side versions.

Data Sovereignty

Ensure your data never leaves your VPC. On-prem and private cloud support.

Smart Caching

Deduplicate identical requests across your team to save 30% on API costs.

A/B Testing

Side-by-side model comparison for accuracy, speed, and cost efficiency.

ROI Dashboard

Visual proof of how much you are saving vs. raw API costs.

Observability Hub

Unified view of all your AI models: OpenAI, Anthropic, Groq, Ollama.