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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

Supported Destinations

OpenTelemetry Collector

Prometheus + Tempo

Prometheus + Jaeger

Grafana Cloud

New Relic

Elastic

HyperDX

DataDog

Dash0

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

Zero-code observability with the OpenLIT Controller

Discover and instrument LLM traffic across Kubernetes, Docker, and Linux using eBPF — no code changes required.