OpenLIT
OpenTelemetry-native open-source AI engineering platform for LLM observability, evaluations, guardrails, prompts, and GPU monitoring.
# OpenLITpip install openlitnpx openlit --helpWhat is OpenLIT?
OpenLIT is an open-source AI engineering platform for observability, evaluations, guardrails, prompt management, vault workflows, playgrounds, and GPU monitoring. It integrates with many LLM providers, vector databases, and agent frameworks.
OpenTelemetry-native observability
OpenLIT focuses on AI observability through OpenTelemetry-native tracing and monitoring.
Teams can connect agent behavior to existing observability systems instead of creating isolated AI dashboards.Evaluation and guardrails
The platform includes evaluations and guardrail workflows.
Operational visibility is stronger when paired with repeatable quality and safety checks.Broad integration surface
OpenLIT describes integrations across LLM providers, vector databases, agent frameworks, and GPUs.
Agent stacks are heterogeneous, so observability tools need broad coverage.What teams use it for
Tags & capabilities
How it stacks up
When to choose OpenLIT
Compare it with nearby tools by looking at hosting model, integration surface, license, and whether the official docs show the workflow you need.
Questions
Is OpenLIT open source?
Yes. The GitHub repository is listed under the Apache-2.0 license.
How does OpenLIT fit with MLflow or Langfuse?
OpenLIT is especially interesting for teams that want OpenTelemetry-native observability and operational monitoring around LLM and agent systems.