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OpenLIT: Open Source AI Engineering Platform

  • Core Functionality: OpenLIT is an open-source platform designed to streamline AI development, particularly for Generative AI and LLMs, by offering tools for LLM experimentation, prompt management, and secure API key handling.
  • Observability: It provides OpenTelemetry-native observability with a one-line code integration, enabling full-stack monitoring of LLMs, vector databases, and GPUs, aligning with OpenTelemetry Semantic Conventions.
  • Key Features: Includes an analytics dashboard for monitoring AI application health, vendor-neutral SDKs for sending traces and metrics, cost tracking for custom models, exception monitoring, prompt management via Prompt Hub, and secure API key management.
  • Experimentation: OpenGround allows users to explore and compare various LLMs.
  • Integration: Supports integration with over 50 LLM Providers, VectorDBs, Agent Frameworks, and GPUs. (According to additional sources)
  • Implementation: The platform is primarily built in Python, with components in TypeScript and Smarty, and Helm charts are available for Kubernetes deployment. (According to additional sources)
Source:

https://docs.openlit.io/latest/introduction

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