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traceloop
openllmetry
Python2023–2024
traceloop / openllmetry

openllmetry

Open-source observability for your GenAI or LLM application, based on OpenTelemetry

7Distinct people
9Mentions
0Explicit recommenders
7.5KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Open-source observability for your GenAI or LLM application, based on OpenTelemetry

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 3:30:57 AM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by month9 dated mentions

Observed mentions: 2023-10-11 13:10:06 UTC to 2024-09-04 22:52:19 UTC.

0122023-10-01 00:00:00 UTC to 2023-11-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 commentsOct 20232023-11-01 00:00:00 UTC to 2023-12-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-12-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2024-01-01 00:00:00 UTC to 2024-02-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-02-01 00:00:00 UTC to 2024-03-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2024-03-01 00:00:00 UTC to 2024-04-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsMar 20242024-04-01 00:00:00 UTC to 2024-05-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2024-05-01 00:00:00 UTC to 2024-06-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2024-06-01 00:00:00 UTC to 2024-07-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-07-01 00:00:00 UTC to 2024-08-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2024-08-01 00:00:00 UTC to 2024-09-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-09-01 00:00:00 UTC to 2024-10-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsSep 2024

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Oct 20232023-10-01 00:00:00 UTC2023-11-01 00:00:00 UTC211
Nov 20232023-11-01 00:00:00 UTC2023-12-01 00:00:00 UTC000
Dec 20232023-12-01 00:00:00 UTC2024-01-01 00:00:00 UTC101
Jan 20242024-01-01 00:00:00 UTC2024-02-01 00:00:00 UTC000
Feb 20242024-02-01 00:00:00 UTC2024-03-01 00:00:00 UTC110
Mar 20242024-03-01 00:00:00 UTC2024-04-01 00:00:00 UTC000
Apr 20242024-04-01 00:00:00 UTC2024-05-01 00:00:00 UTC202
May 20242024-05-01 00:00:00 UTC2024-06-01 00:00:00 UTC101
Jun 20242024-06-01 00:00:00 UTC2024-07-01 00:00:00 UTC000
Jul 20242024-07-01 00:00:00 UTC2024-08-01 00:00:00 UTC110
Aug 20242024-08-01 00:00:00 UTC2024-09-01 00:00:00 UTC000
Sep 20242024-09-01 00:00:00 UTC2024-10-01 00:00:00 UTC110

What Hacker News says

2 sources
Wow, where do I start? The APIs are not that similar, but we're trying to use the same set of semantic conventions for everyone so for example you'll always get the model version, or the temperature in the same attribute. Which kinda means it's identical cross-vendor, at least on the o11y side. Here are all the semantic conventions we've defined so far - https://github.com/traceloop/openllmetry/tree/main/packages/...
In Show HN: OpenLLMetry – OpenTelemetry-based observability for LLMs
nirga·Oct 11, 2023Submission

Show HN: 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 gen-AI space so we think it’s the right time to define an open protocol for observability. So we built OpenLLMetry. It extends OpenTelemetry and provides instrumentations for LLM-specific libraries which automatically monitor and trace prompts, token usage, embeddings, e
Read the rest
tc. Two key benefits with OpenTelemetry are (1) you can trace your entire system execution, not just the LLM (so you can see how requests to DBs, or other calls affect the overall result); and (2) you can connect to any monitoring platform—no need to adopt new tools. Install the SDK and plug it into Datadog, Sentry, or both. Or switch between them easily. We’ve already built instrumentations for LLMs like OpenAI, Anthropic and Cohere, vector DBs like Pinecone and LLM Frameworks like LangChain and Haystack. And we’ve built an SDK that makes it easy to use all of these instrumentations in case you’re not too familiar with OpenTelemetry. Everything is written in Python (with Typescript around the corner) and licensed with Apache-2.0. We’re using this SDK for our own platform (Traceloop), but our hope is that OpenLLMetry can evolve and thrive independently, giving everyone (including our users) the power of choice. We’ll be working with the OpenTelemetry community to get this to become a first-class citizen of OpenTelemetry. Would love to hear your thoughts and opinions! Check it out - Docs: https://www.traceloop.com/docs/python-sdk/introduction Github: https://github.com/traceloop/openllmetry
154 points · Open discussion

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