OpenLIT Launches Open-Source Observability Platform with Custom Dashboards for LLM Applications
By
Patcher
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Summary
OpenLIT is an open-source observability and analytics platform for LLM applications that has launched a new version featuring fully customizable dashboards. The platform helps developers build and manage AI applications in production, offering tools for experimenting with LLMs, managing prompts, securing API keys, and providing safeguards against security threats. The latest update includes a Dashboard Builder with drag-and-drop functionality, importable/exportable JSON dashboards, and comprehensive observability for the complete GenAI stack.
Key quotes
· 4 pulledOpenLIT is the first truly open-source observability and analytics platform for LLM applications
we went a step further and made them fully importable/exportable as JSON, so you can share and reuse them effortlessly
With our new Dashboard Builder, you can drag & drop charts into folders, apply filters and time ranges, and see exactly what matters to you
As a self-hosted solution, it enables developers to experiment with LLMs, manage and version prompts, securely manage API keys, and provide safeguards against prompt injection and jailbreak attempts
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