OpenLIT
FundedComprehensive observability platform for AI and LLM applications
About OpenLIT
OpenLIT is an advanced observability platform designed specifically for monitoring, debugging, and improving large language model (LLM) applications and AI workloads. It provides real-time distributed tracing, AI model evaluation, prompt management, and multi-deployment monitoring, enabling enterprises to gain deep insights into their AI interactions and performance. Built on OpenTelemetry standards, OpenLIT integrates seamlessly with existing observability stacks, offering a unified view across multiple AI environments without requiring code changes.
Targeted at enterprise organizations deploying production-grade AI applications, OpenLIT supports a wide range of LLM providers and AI frameworks, facilitating centralized management and experimentation with prompts and models. Its Kubernetes operator enables zero-code instrumentation for AI workloads, simplifying deployment and scaling. The platform’s primary value lies in its ability to provide actionable telemetry and evaluation tools that help enterprises optimize AI application performance, ensure reliability, and accelerate innovation in AI engineering workflows.
Key Capabilities
- ✓Real-time distributed tracing for LLM applications
- ✓Online and offline AI model evaluation via UI and SDK
- ✓Centralized prompt management with version control
- ✓Unified monitoring across multiple AI deployments
- ✓Zero-code Kubernetes observability with automatic instrumentation
Integrations
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