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:Documentation Index
Fetch the complete documentation index at: https://docs.openlit.io/llms.txt
Use this file to discover all available pages before exploring further.
- 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.