OpenLIT
OpenTelemetry-native observability for GenAI and LLM applications
Founded
2023
Starting Price
Free
Category
Developer Tools
Last updated March 14, 2026
About OpenLIT
OpenLIT is an open-source AI engineering platform that provides OpenTelemetry-native observability for LLM applications, vector databases, and GPU workloads. With a single line of code, it auto-instruments 50+ LLM providers and AI frameworks to deliver unified traces, metrics, cost tracking, and evaluations.
Pros & Cons
Pros
- Single line of code enables full observability across 50+ LLM providers and AI frameworks
- Fully open-source with no vendor lock-in — data stays in your infrastructure
- OpenTelemetry-native output integrates with any modern observability backend
- Built-in GPU monitoring for NVIDIA hardware alongside LLM metrics
- Covers full AI lifecycle: tracing, cost tracking, prompt management, evaluations, and secrets
Key Features
Auto-Instrumentation
Automatically instruments 50+ LLM providers, vector databases, and AI frameworks with a single line of code
LLM Cost Tracking
Tracks token usage and calculates API costs across all integrated providers in real time
GPU Performance Monitoring
Monitors NVIDIA GPU utilization, power draw, memory usage, and temperature for self-hosted LLM workloads
Prompt Hub
Centralized prompt management system for versioning, organizing, and retrieving prompts across AI applications
OpenGround Playground
Side-by-side LLM playground for comparing cost, latency, and response quality across multiple providers
LLM Evaluations
Online LLM-as-a-judge evaluation pipeline for zero-setup AI quality monitoring
Vault Secret Management
Secure credential store for LLM API keys that applications can retrieve remotely at runtime
Pricing
Open Source
Free
- Full LLM observability
- 50+ provider integrations
- GPU monitoring
- Prompt Hub & Vault
- LLM evaluations
Best For
LLM Application Monitoring
Track latency, token usage, cost, and error rates across production LLM calls from 40+ providers
AI Cost Optimization
Identify expensive prompts and compare cheaper model alternatives side by side
GPU Workload Observability
Monitor NVIDIA GPU health and utilization alongside LLM inference metrics
Multi-Framework Agent Tracing
Trace complex multi-step AI agent pipelines built with LangChain, LlamaIndex, or CrewAI
