OpenLLMetry – OpenTelemetry-based observability for LLMs
Hey HN, Nir, Gal and Tomer here. We’re open-sourcing a set of extensions we’ve built on top of OpenTelemetry that provide visibility into LLM applications - whether it be prompts, vector DBs and more. Here’s the repo: https://github.com/traceloop/openllmetry. There’s already a decent number of tools for LLM observability, some open-source and some not. But what we found was missing for all of them is that they were closed-protocol by design, vendor-locking you to use their observability platform or their proprietary framework for running your LLMs. It’s still early in the…
OpenLLMetry – OpenTelemetry-based observability for LLMs launched on October 11, 2023 with 154 votes, #316 of 4,393 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 3 years on.
In plain words
OpenLLMetry is an open-source set of extensions built on OpenTelemetry that provides observability for large language model applications. It automatically monitors and traces prompts, token usage, vector databases, embeddings, and other LLM-specific data. Designed for developers building generative AI applications, OpenLLMetry uses an open protocol rather than vendor-specific frameworks, avoiding lock-in to proprietary observability platforms. The project is available on GitHub and remains in early development.
written from the facts on this page · September 2026
From the sources
Open-source observability for your GenAI or LLM application, based on OpenTelemetry - traceloop/openllmetry
In the maker’s words, at launch
Hey HN, Nir, Gal and Tomer here. We’re open-sourcing a set of extensions we’ve built on top of OpenTelemetry that provide visibility into LLM applications - whether it be prompts, vector DBs and more. Here’s the repo: https://github.com/traceloop/openllmetry. There’s already a decent number of…
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