Always-on visibility
See everything your agents do, in real time
Niitaka gives your team a single pane of glass for every agent session — from first LLM call to final result. Monitor cost, errors, and throughput without changing a line of agent code.
Cost attribution
Track spend per session, per agent, and per model. Spot runaway costs before they hit your bill.
Live heartbeats
Continuous heartbeat signals let you know at a glance whether an agent is running, idle, or stale.
Error tracking
Surface sessions with errors instantly. Drill down to the exact event that caused the failure.
Multi-agent subtrees
Visualize parent-child relationships in orchestrator/worker architectures as a live session tree.
Trend dashboards
Daily session counts, error rates, and cost trends — so you see regressions before users do.
Multi-provider, one view
OpenAI, Anthropic, Gemini, Groq — all sessions in one place regardless of which model you use.
At a glance
- Zero-config automatic session tracking via the SDK
- Real-time error count and cost per session
- Multi-agent parent-child subtree visualization
- Experiment variant attribution on every session
- Stale session detection with heartbeat monitoring
Common questions
How is cost tracked across multiple LLM calls in one session?
Each LLM call event captures input and output token counts and the cost in USD at the point of the call. The session total is the running sum of all event costs — updated in real time as the session progresses. You can see the breakdown per event or the aggregate on the session card.
Can I see parent/child relationships in multi-agent setups?
Yes. Pass the parent session ID when starting a worker agent session and Niitaka links them automatically. The dashboard renders the full orchestrator/worker tree as a collapsible subtree so you can trace cost and errors across the entire hierarchy in one view.
More general questions? See the full FAQ →
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