An open-source platform for zero-code LLM application observability and evaluation.
Product memo
OpenLIT offers an open-source, OpenTelemetry-native platform for LLM observability. It targets AI engineers and developers, providing zero-code integration for tracing, evaluation, and prompt management. Its core wedge is enabling deep visibility into LLM applications without code changes, differentiating from products requiring instrumentation.
For who
AI engineers and developers
Solves what
Zero-code observability for LLM applications, tracing, and evaluation.
- Real-time distributed tracing
- AI model evaluation
- Prompt management and versioning
In their own words
Open Source Platform for
Monitor, debug, and improve your LLM applications with comprehensive observability, tracing, and evaluation tools. Built for production workloads.
Commercial cues
Model
subscription
Free tier
Yes
Trial
No
Pricing Strategy
- • Generous free tier encourages adoption and community growth
- • Sponsorship tiers offer non-product benefits for funding
- • Future cloud offering signals a shift to SaaS monetization
Operator context
Operating setup
Team
Indie / lean
LLM classification
Founded
Aug 2025
Platform
Web app
Audience
Developers
Social footprint
Tech stack
Market demand
OpenLIT's Zero-code LLM Observability keyword demand
5 keywords
Market demand is Starter-tier market intelligence.
Derived from this product’s latest SimilarWeb keyword mix — directional demand, not proof.
Builder Strategy
- Strategy Type
- Niche Specialist
- Stage
- Bootstrapped Lean
- Effort
- Small Team
About OpenLIT's Zero-code LLM Observability Expand
OpenLIT provides an open-source platform for broad observability of AI applications, built on OpenTelemetry. It empowers AI engineers and developers to monitor, debug, and improve their LLM-powered systems without requiring code changes.
Key features include real-time distributed tracing, AI model evaluation, prompt management, and monitoring for GPUs and Vector Databases. The platform is free to self-host, offering full LLM observability with over 60 integrations, and a managed cloud option is planned for the future.
OpenLIT aims to simplify the complexities of scaling and managing AI applications in production environments.