OpenLIT

OpenLIT is an open-source observability and management platform for AI agents that provides tracing, evaluations, guardrails, and prompt versioning.

OpenLIT is an agent harness engineering platform designed to observe, evaluate, and improve AI agent performance. It utilizes OpenTelemetry-native SDKs to instrument over 90 LLMs and agent frameworks, providing transparency into token consumption, latency, and costs. The platform includes a Prompt Hub for versioning and managing prompts, as well as OpenGround for side-by-side model comparison and A/B testing. Users can monitor agent health in production, track session-level analytics, and implement custom evaluators using LLM-as-a-judge functionality. It also features a vault for centralizing API key management and uses natural language queries to analyze telemetry data. The tool integrates with popular coding agents like Claude Code, Cursor, and Codex to provide visibility into usage and spend across development teams.

OpenLIT at a glance

Best for: Software engineer
Runs on: self-hosted, CLI, API, open source
Pricing: Self-host free
Released: January 2024
Category: AI coding tool
Website: docs.openlit.io

Key features

OpenTelemetry-based observability for 90+ LLMs
Prompt versioning and deployment management
LLM-as-a-judge for automated response evaluation
Side-by-side model comparison and A/B testing
Automated secret redaction and privacy controls
Centralized API key management vault
Natural language queries for trace and cost analysis

Use it for

Tracking token consumption and latency in AI agents
Managing and versioning prompts across production environments
Running automated evaluation gates in CI/CD pipelines
Monitoring AI spend across developers and projects
Performing root-cause analysis with full stack traces

Companions

Tools that articles about OpenLIT recommend using with it, each with its job.

Context7 — Provides up-to-date documentation for AI agents and code editors.
Ollama — Run local models at zero marginal cost, with code kept on your machine.
OpenRouter — Access over 500 models and 80 providers through one unified API.
Daytona — Runs sessions in isolated sandboxes synced to git branches.
Composio — Equips AI agents with tools, managed user auth, and sandboxes across 1,500+ apps
Oh My OpenCode Slim — Lightweight multi-agent orchestration and background tasks.

Alternatives to OpenLIT

Opik — It offers comprehensive tracing, automated evaluations, and open-source flexibility.
OpenCode — Works with 75+ model providers, local models, and existing subscriptions
OpenLLMetry — Integrates into applications with just two lines of code.
LiteLLM — One OpenAI-format API for 100+ LLM providers
Open Code Review — It brings Alibaba's battle-tested code review Agent into your workflow with complete data privacy.
Tracely — Turns production failures into regression tests that block pull requests.
OpenAPPA — Tracks data flows algebraically to prevent prompt injection without breaking agents.
OpenObserve — Full observability stack at a fraction of the usual storage cost
VoltAgent — Offers open-source flexibility with built-in supervisor agent orchestration and RAG.
OpenChamber — Run and review multi-model AI coding agents from desktop, browser, and mobile devices.
Laminar — It automatically detects agent failure patterns without manual definitions.
OpenAI Agents SDK — Provider-agnostic multi-agent framework with built-in guardrails and tracing.

All OpenLIT alternatives