# OpenLIT

Open-source LLM observability platform built on OpenTelemetry standards.

- Category: Developer Tools
- Pricing: Free
- Tags: DevOps Assistants
- Website: https://openlit.io/?via=aigregator
- Aigregator page: https://aigregator.com/tools/openlit
- API: https://x402.aigregator.com/v1/tools/openlit

## Overview
OpenLIT is an open-source AI engineering platform designed to help teams build, evaluate, and observe LLM applications throughout their entire lifecycle from development to production. It provides comprehensive observability through distributed tracing, evaluation tools, and prompt management capabilities. The platform is built entirely on OpenTelemetry standards, enabling seamless integration with existing observability stacks. OpenLIT distinguishes itself through its zero-code Kubernetes instrumentation, support for 50+ LLM providers and frameworks, and privacy-first architecture where data never leaves user infrastructure. A key limitation is that as an open-source, self-hosted solution, teams must manage their own infrastructure and deployment rather than relying on managed cloud services.
## Key Features
- Distributed Tracing
- Evaluation Tools
- Prompt Hub
- Experiments
- Dashboards
- Fleet Hub
- GPU Monitoring
- Vault
- Zero-Code Kubernetes Observability
- Automatic Instrumentation
- OpenTelemetry Native Integration

## Use Cases
- Monitor and debug LLM application performance in production environments
- Trace AI agent interactions and identify performance bottlenecks
- Evaluate and optimize prompt performance across different LLM providers
- Track token usage and costs for AI application infrastructure
- Implement distributed tracing for complex multi-step AI workflows

## Who It Is For
- LLM application developers
- AI engineers
- MLOps teams
- DevOps engineers
- Organizations building production AI applications

## Pros
- Completely open-source and self-hosted with no vendor lock-in, allowing full data privacy and infrastructure control
- Works with 50+ LLM providers and frameworks with minimal setup - just a few lines of code or zero-code Kubernetes deployment
- Built on OpenTelemetry standards for seamless integration with existing observability infrastructure
- Free to use under Apache 2.0 license with active community support and transparent development

## Cons
- Requires self-hosting and infrastructure management, which means teams must handle deployment, scaling, and maintenance costs
- As an open-source project, support relies on community rather than dedicated enterprise support options
- Smaller ecosystem compared to commercial alternatives, which may mean fewer pre-built integrations or enterprise features

## Alternatives
- [Gentrace](https://aigregator.com/tools/gentrace)
- [AirOps](https://aigregator.com/tools/airops)
- [Dify AI](https://aigregator.com/tools/dify-ai)
- [Langfuse](https://aigregator.com/tools/langfuse)
- LangSmith

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Source: Aigregator — AI tools directory. https://aigregator.com/tools/openlit