What is Openlit?
OpenLIT is an open-source LLM and GPU observability tool built on OpenTelemetry. It offers tracing, metrics, and a playground to debug and improve LLM apps. Supports 20+ integrations like OpenAI, LangChain, and exports data to your existing observability tools
Problem
OpenLIT addresses the challenges faced by developers with monitoring and understanding the performance of Large Language Models (LLMs) and GPUs in real-time. Traditional monitoring tools do not adequately cater to the specific needs of LLMs, such as comprehensive data tracing, metrics visualization, and operational debugging, resulting in significant performance optimization and scalability issues.
Solution
OpenLIT is a dashboard tool that provides an open-source observability solution specifically for LLMs and GPUs. It integrates capabilities such as tracing, metrics capturing, and a debug playground, allowing users to monitor, debug, and optimize LLM applications. It includes 20+ integrations like OpenAI and LangChain, offering compatibility and extensibility with existing observability frameworks.
Customers
The primary users of OpenLIT are developers, data scientists, and AI researchers who are working on projects involving large language models and GPUs. Particularly, those who need sophisticated tools for performance tracking and debugging in complex AI applications.
Unique Features
Key unique features include integrated support for 20+ LLM and GPU platforms, a built-in playground for real-time debugging, and the capability to export data easily to existing observability tools, providing a tailored and highly compatible solution for sophisticated AI development environments.
User Comments
Users appreciate the interactive debug playground.
Developers value the integrations with popular tools like OpenAI.
Positive feedback on ease of installation and setup.
Users note significant improvements in monitoring LLMs and GPUs.
Minor issues with compatibility with some custom environments.
Traction
Currently, OpenLIT is in the early stages of adoption with a limited but growing user base. Focused on community-driven enhancements, the project is gaining traction among developers in the AI community, especially those working with OpenAI and related platforms.
Market Size
The global market for AI observability and application performance management tools was valued at $6.3 billion in 2021, showing a strong growth trend driven by the increasing adoption of AI technologies and the need for sophisticated monitoring solutions in artificial intelligence operations.
