This is the Windows app named OpenLIT whose latest release can be downloaded as py-1.33.23sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS
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OpenLIT
DESCRIPTION
OpenLIT is an OpenTelemetry-native tool designed to help developers gain insights into the performance of their LLM applications in production. It automatically collects LLM input and output metadata and monitors GPU performance for self-hosted LLMs. OpenLIT makes integrating observability into GenAI projects effortless with just a single line of code. Whether you're working with popular LLM providers such as OpenAI and HuggingFace, or leveraging vector databases like ChromaDB, OpenLIT ensures your applications are monitored seamlessly, providing critical insights including GPU performance stats for self-hosted LLMs to improve performance and reliability. This project proudly follows the Semantic Conventions of the OpenTelemetry community, consistently updating to align with the latest standards in observability.
Features
- Advanced Monitoring of LLM and VectorDB Performance
- Cost Tracking for Custom and Fine-Tuned Models
- Cost Tracking for Custom and Fine-Tuned Models
- Documentation available
- OpenTelemetry-native & vendor-neutral SDKs
- Examples available
- OpenLIT enables you to tailor cost tracking for specific models
- OpenLIT is built with native support for OpenTelemetry
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/openlit.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
