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OpenLIT

OpenLIT is an open-source LLM observability platform built on OpenTelemetry for teams that need visibility into token usage, cost, latency, and runtime behavior across...

Overview

What Is OpenLIT?

OpenLIT is an open-source LLM observability platform built on OpenTelemetry for teams that need visibility into token usage, cost, latency, and runtime behavior across AI applications. It is designed for engineers who want production insight without proprietary lock-in.

The platform is most useful when AI apps move beyond demos and begin generating real operational cost and complexity. OpenLIT gives teams a clearer view of what their LLM systems are doing and where performance or cost issues are coming from.


Key Features of OpenLIT

OpenLIT stands out when an engineering team wants open observability for LLM applications instead of treating AI runtime behavior as a black box.

  • Open-source observability for GenAI and LLM applications.
  • Built on OpenTelemetry for monitoring token usage, latency, and cost.
  • Useful for teams running AI systems in production and needing runtime clarity.
  • Designed to support self-hosted, engineering-first observability workflows.
  • A strong fit for LLMOps, cost visibility, and production monitoring.

Use Cases and Applications

OpenLIT works best when a team needs to see how AI workloads behave in production and wants to optimize both quality and cost.

  • Monitor LLM latency, usage, and spend across production applications.
  • Add observability to AI systems built on major frameworks and APIs.
  • Track operational health across agent and LLM workflows.
  • Support engineering teams with self-hosted AI telemetry and monitoring.
  • Reduce blind spots in production AI application behavior.

Who Should Use OpenLIT?

OpenLIT is built for engineering teams that want observability as part of their AI stack, not as an afterthought.

  • Developers running LLM apps in production.
  • Platform teams building internal LLMOps capability.
  • Businesses monitoring cost and latency in AI systems.
  • Anyone comparing open-source AI observability tools.

OpenLIT Pricing

OpenLIT is centered on open-source and self-hosted observability, with overall cost shaped by infrastructure, scale, and any added enterprise support.

PlanPriceFeatures Included
Open Source$0Core observability platform for self-hosted LLM monitoring workflows.
Self-Hosted ScaleVariesUsage cost based on infrastructure, telemetry volume, and deployment scale.
Enterprise SupportCustomLarger rollout, support, and operational adoption for organizations.

OpenLIT packaging may change. Check the official OpenLIT website for the latest details.


How to Use OpenLIT

Official Website Link: Go to OpenLIT Official Website.

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