OpenLIT

OpenLIT is an open-source platform for AI engineering that provides comprehensive observability, tracing, and evaluation tools for LLM applications. Built on OpenTelemetry, it enables developers and engineers to monitor, debug, and improve production AI workloads while maintaining full data privacy through self-hosting.

Key Features

• Distributed Tracing: Visualize request flows, identify bottlenecks, and understand LLM interaction lifecycles with OpenTelemetry-powered tracing.
• AI Model Evaluation: Run online and offline evaluations via UI and SDKs to experiment with prompts, models, and end-to-end applications.
• Prompt Hub: Centrally manage, version, and deploy prompts with built-in version control and performance tracking.
• OpenGround Experiments: A playground to test and compare prompts and models to find optimal configurations.
• Real-time Dashboards: Monitor all LLM applications with custom SQL queries, flexible widgets, and telemetry from any OpenTelemetry-instrumented tool.
• Fleet Hub: Unified multi-deployment management to compare performance across environments.

Integrations

OpenLIT offers native instrumentation for a wide range of LLM providers (OpenAI, Anthropic, Mistral, Cohere, etc.), frameworks (LangChain, LlamaIndex, CrewAI, Haystack, etc.), vector databases (Chroma, Pinecone, Qdrant, Milvus, etc.), and GPU monitoring (NVIDIA, AMD).

Deployment & Privacy

OpenLIT is self-hosted and fully open-source, ensuring data never leaves your infrastructure. It is built for production scale with minimal performance overhead.

Key Benefits

• Open source and free
• Self-hosted for data privacy
• Comprehensive LLM observability
• Wide range of integrations