The OpenLIT SDK can send AI observability data (traces, metrics, logs) from LLMs, vector databases, and AI frameworks directly to your existing observability stack. This enables:
  • Unified Monitoring: Consolidate AI and application metrics in one platform
  • Existing Workflows: Leverage your current dashboards, alerts, and processes
  • Cost Optimization: Use existing observability investments
  • Compliance: Meet data residency and security requirements

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Supported Destinations

OpenTelemetry Collector

Prometheus + Tempo

Prometheus + Jaeger

Grafana Cloud

New Relic

Elastic

HyperDX

DataDog

SigNoz

OneUptime

Dynatrace

OpenObserve

Highlight.io

Murnitur

Middleware

SigLens

Oodle

Langfuse

Quickstart: LLM Observability

Production-ready AI monitoring setup in 2 simple steps with zero code changes

Integrations

60+ AI integrations with automatic instrumentation and performance tracking

Deploy OpenLIT Platform

Deployment options for scalable LLM monitoring infrastructure
Kubernetes

Running in Kubernetes? Try the OpenLIT Operator

Automatically inject instrumentation into existing workloads without modifying pod specs, container images, or application code.