openinference and openllmetry
These are complementary tools, as OpenInference provides a standardized OpenTelemetry semantic convention for AI observability that OpenLLMetry then implements to offer comprehensive observability for GenAI and LLM applications.
About openinference
Arize-ai/openinference
OpenTelemetry Instrumentation for AI Observability
This project helps machine learning engineers and AI developers understand the internal workings and performance of their AI applications, especially those using Large Language Models (LLMs). It provides a way to trace the steps and data flow within an AI application, from inputs like user queries to outputs generated by LLMs or external tools. The output is detailed observability data that helps debug, optimize, and monitor AI systems.
About openllmetry
traceloop/openllmetry
Open-source observability for your GenAI or LLM application, based on OpenTelemetry
This project helps developers instrument and monitor their Generative AI applications to understand how they are performing. It takes in data about your application's interactions with LLMs and vector databases, and outputs detailed traces and metrics. This allows software engineers building AI-powered products to debug issues, optimize performance, and ensure reliability.
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