OpenLIT's Zero-code LLM Observability
Trace LLM requests + costs with OpenTelemetry monitoring
# Monitor & Report BuilderWhat is OpenLIT's Zero-code LLM Observability?
Zero-code full-stack observability for AI agents and LLM apps. OpenTelemetry-native monitoring for LLMs, VectorDBs, and GPUs with built-in guardrails, evaluations, prompt hub, and a secure vault. Fully self-hostable anywhere.
Problem
Users previously had to manually set up and integrate multiple observability tools to monitor LLM apps, VectorDBs, and GPU usage, leading to fragmented insights, high operational complexity, and inability to track costs and performance holistically
Solution
A zero-code OpenTelemetry-native monitoring platform that automatically traces LLM requests, costs, and performance while integrating evaluations, prompt management, and secure vaults for sensitive data
Customers
DevOps engineers, ML engineers, and teams building AI agents/LLM applications in enterprises and startups
Unique Features
OpenTelemetry-native LLM/VectorDB/GPU monitoring, built-in guardrails, prompt hub, secure vault for API keys, self-hostable architecture
User Comments
Simplifies LLM observability
Critical for cost tracking
Saves engineering time
Secure vault is a standout
Easy OpenTelemetry integration
Traction
Newly launched on ProductHunt (500+ upvotes), 1k+ GitHub stars, adopted by 50+ enterprises, fully open-source with paid cloud version
Market Size
The global generative AI market size was valued at $40.14 billion in 2023 (Grand View Research), with LLM operations tools being critical infrastructure
