OpenlitOne click observability & evals for LLMs & GPUs

OpenLIT: Open-Source LLM & GenAI Observability Tool

OpenLIT is an OpenTelemetry-native application observability tool designed for connecting Large Language Models (LLMs) and Generative AI with ease.

Key Features

• Open-source: Free to use and modify
• OpenTelemetry-native: Seamless integration with existing projects
• Easy integration: Simple setup with openlit.init()
• Granular usage insights: Analyze LLM, Vectordb & GPU performance and costs
• Real-time data streaming: Immediate visualization for quick decision-making
• Low latency: Fast data processing without impacting application performance
• Visualization tools: Explore costs, token consumption, and user interactions
• Multiple integrations: Connect with popular observability platforms

Use Cases

• Monitor LLM application performance
• Optimize GPU usage and costs
• Analyze token consumption patterns
• Track user interactions with AI models
• Integrate with existing observability stacks

Pricing

OpenLIT is an open-source project, available for free.

For Teams

• Collaborate on GitHub
• Access comprehensive documentation
• Join the community on Slack, Twitter, GitHub, and Discord
• Contribute to the project's development

GitHub Repository | Documentation