AI Observability
Monitor, trace, and optimize your AI applications. Full-stack LLM observability with traces, cost tracking, error monitoring, and performance analytics — all in one platform.
See inside every AI call.
Detailed traces for every LLM request — inputs, outputs, latency, token usage, and cost. Debug agent workflows, optimize prompts, and track model performance.
Trace Analysis
Detailed visibility into every LLM call with inputs, outputs, and timing.
Cost Tracking
Real-time cost monitoring per model, per trace, and per user.
Session Replay
Replay multi-turn conversations to debug and improve your AI.
Model Registry
Centralized registry of LLM models with pricing and capabilities.
Traces, Errors, Costs — One Platform
Everything you need to understand, debug, and optimize your AI applications.
Traces
End-to-end
Trace multi-step agent workflows with full input/output visibility.
Real-time
Cost Tracking
Track spend per model, per user, and per trace in real time.
Auto
Error Capture
Catch errors with full stack traces, breadcrumbs, and user context.
Live
Performance
Monitor latency, throughput, and token usage across all models.
One platform instead of three.
Stop stitching together Langfuse for traces, Sentry for errors, and spreadsheets for costs.
The old approach
- Separate tools for traces, errors, costs
- Expensive per-event pricing
- No connection between trace and error
- Manual cost tracking in spreadsheets
The modern approach
- Traces + errors + costs in one view
- Included in your plan
- Errors linked to traces automatically
- Real-time cost dashboards per model
Everything you need for AI observability.
Complete monitoring for LLM applications — from first trace to production alerts.
Reduce LLM Costs
Identify expensive calls and optimize prompts to reduce token usage.
Debug AI Issues
Trace exact inputs/outputs to quickly identify and fix AI behavior.
Monitor Performance
Track latency, token usage, and error rates across all AI operations.
TRACE COVERAGE
COST TRACKING
COMPATIBLE
IN PLAN
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