Features

From single-agent tracing to multi-agent topology — everything you need to debug and monitor your AI agents in production.

📊

Agent Trace Timeline

Every step your agent takes — thinking, tool calls, decisions, outputs — in a chronological timeline. Click any step to inspect the full input, output, and intermediate state.

  • → Expand thinking chain for any step
  • → Filter by tool type or status
  • → Share trace links with your team
💸

Per-Step Token & Cost Breakdown

Know exactly how many tokens each step consumed — not just the conversation total. Identify costly thinking steps and optimize your prompts.

  • → Cost per model, per step, per tool
  • → Budget alerts and cost thresholds
  • → Export cost reports
🔁

Failure Replay

Replay any failed trace step-by-step. See exactly what the agent saw, what it decided, and where it went wrong. No more guessing from raw logs.

  • → One-click replay from error dashboard
  • → Step-by-step playback with pauses
  • → Compare successful vs failed traces
🌐

Multi-Agent Topology Map

Visualize how your agents collaborate. See the communication graph, handoff points, and message flow between agents in real-time.

  • → Agent relationship graph
  • → Cross-agent trace linking
  • → Handoff failure detection
🔔

Real-Time Alerts

Get notified when your agents behave unexpectedly — high latency, excessive token usage, error loops, or budget exceeded.

  • → Slack/email/webhook notifications
  • → Custom alert thresholds
  • → Token budget auto-stop
🔌

Framework-Agnostic SDK

Works with any agent framework — LangChain, AutoGen, CrewAI, LangGraph, or custom implementations. One decorator to trace everything.

  • → Python & TypeScript SDK
  • → Webhook fallback for non-SDK clients
  • → OpenTelemetry compatible