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.