OpenLIT
ActiveDescription
OpenLIT is an open-source AI engineering platform providing OpenTelemetry-native LLM observability, GPU monitoring, guardrails, evaluations, prompt management, and playground, integrating with 50+ LLM providers and agent frameworks.
Key Features
- OpenTelemetry-native LLM observability with full-stack monitoring of LLMs, vector databases, and GPUs
- 11 built-in evaluation types including hallucination, bias, toxicity, and safety detection
- Rule engine with AND/OR conditional logic for runtime trace attribute matching
- Prompt management and versioning via Prompt Hub with secure API key vault
- Analytics dashboard with cost tracking, exception monitoring, and performance metrics
- Auto-instruments 50+ LLM providers, AI frameworks, and vector databases with a single line of code
Use Cases
💡 Production monitoring of LLM applications with OpenTelemetry traces and metrics
💡 Automated evaluation and safety guardrails for AI-powered products
💡 Cost optimization through detailed token usage tracking and budgeting
💡 Centralized prompt management and API key security for enterprise teams
Categories
Quick Start
Run 'docker compose up -d' to deploy the OpenLIT stack, then 'pip install openlit' to install the SDK. Add two lines to your Python code: import openlit and openlit.init(). Access the dashboard at 127.0.0.1:3000 to visualize and optimize your AI application performance.