OpenLIT AI

OpenLIT AI is an open-source observability platform based on OpenTelemetry, purpose-built for generative AI and LLM applications, helping developers monitor, debug, and optimize the performance and cost of their AI workloads.

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AI observability platformLLM application monitoringOpenTelemetry AI monitoringGenerative AI performance trackingAI model evaluation tools

Features of OpenLIT AI

OpenTelemetry-based distributed tracing and metrics monitoring to visualize the end-to-end AI application's request flow

Supports online and offline evaluation of prompts, models, and applications with a built-in evaluation framework

Offers zero-code or low-code integration via Kubernetes Operator or SDK for flexible deployment

Centralized management of prompt versions and AI agents, with a unified dashboard for data analysis

Use Cases of OpenLIT AI

Used by development teams after deploying LLM apps to monitor latency, token usage, and costs.

Used during prompt engineering or model selection experiments to evaluate the effectiveness and performance of different versions.

Operations engineers in Kubernetes environments can perform non-intrusive monitoring of AI workloads.

When you need to integrate AI application telemetry with existing monitoring stacks like Grafana, DataDog, and more.

FAQ about OpenLIT AI

QWhat is OpenLIT AI?

OpenLIT AI is an open-source platform based on the OpenTelemetry standard, providing observability, monitoring, and evaluation capabilities for generative AI and large language model applications.

QHow does OpenLIT AI help monitor AI apps?

It automatically instruments to collect LLM requests metadata, performance metrics, and cost information, offering distributed tracing, dashboard visualization, and error analysis.

QDoes using OpenLIT AI require a lot of code changes?

Supports multiple integration methods: install the SDK for minimal code changes, or use the Kubernetes Operator for zero-code monitoring.

QWhat deployment options does OpenLIT AI support?

Supports self-hosted deployments, for example via Docker Compose or Kubernetes, and also offers cloud-native deployment options.

QCan OpenLIT AI evaluate the quality of AI models?

The platform includes built-in evaluation frameworks to assess prompts, models, and end-to-end applications, analyzing related output quality metrics.

QIs OpenLIT AI free?

According to its open-source license, it is an Apache-2.0 licensed open-source project available for free use and deployment.

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