Openlit
Overview
OpenLIT is an open‑source observability platform for large‑language‑model applications, offering distributed tracing, real‑time monitoring, model evaluation, prompt versioning, fleet telemetry, and a zero‑code Kubernetes operator to integrate with major LLM providers and vector databases.
From the official site
Trace LLMs and AI agents with OpenTelemetry, run LLM evaluations, manage prompts, compare models, store API keys in Vault, and self-host free under Apache 2.0.
The text above is quoted from this tool’s official website — the vendor’s own words.
Key points from the official site
- Prompt management
- AI agent monitoring
- API key management
The points above are quoted from this tool’s own website sections and feature lists — vendor copy, not our review.
Official FAQ
- What is OpenLIT?
- OpenLIT is an open source Harness Engineering platform. Teams use it to instrument AI apps, manage prompts, run LLM evaluations, monitor agents, store API keys in Vault, and improve quality with production data. It is built on OpenTelemetry and free to self-host under Apache 2.0.
- What is harness engineering?
- Harness engineering is the loop of instrument, develop, manage, observe, and improve AI systems. OpenLIT is the open source Harness Engineering platform for that loop, and also an open source AI engineering platform for tracing, prompts, evaluations, and secrets.
- Does OpenLIT support LLM tracing and OpenTelemetry?
- Yes. OpenLIT provides OpenTelemetry-native LLM tracing and metrics. Use OpenLIT SDKs for Python, JavaScript, and Go, or send OTLP from OTel SDKs, OBI, OpenLLMetry, and other OpenTelemetry sources.
- Can I run LLM evaluation and LLM-as-a-judge in OpenLIT?
- Yes. OpenLIT supports LLM evaluation with LLM-as-a-judge, heuristics, and human review. You can score production traffic or experiments, including relevance, accuracy, safety, and RAG quality signals.
- Does OpenLIT include prompt management?
- Yes. Prompt Hub lets you version prompts, deploy updates, and roll back without shipping app code every time. That keeps prompt management and prompt engineering in one place for the team.
- Can I compare LLM models side by side?
- Yes. OpenGround is a model comparison playground. Test prompts on real inputs and compare models side by side before you ship.
These questions and answers come from the tool’s own structured data, not written by us.