# Observability for Discourse AI

**URL:** <https://meta.discourse.org/t/observability-for-discourse-ai/316107>\
**Category:** Feature\
**Tags:** ai, ai-bot\
**Created:** [July 12, 2024, 4:00pm UTC](https://meta.discourse.org/t/observability-for-discourse-ai/316107 "2024-07-12T16:00:12Z")\
**Posts on this page:** 1\
**Showing post:** 3

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**Author:** ![aas](https://sea3.discourse-cdn.com/meta/user_avatar/meta.discourse.org/aas/32/289331_2.png) [@aas](https://meta.discourse.org/u/aas)\
**Post date:** [August 12, 2024, 4:18pm UTC](https://meta.discourse.org/t/observability-for-discourse-ai/316107/3 "2024-08-12T16:18:52Z")

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> [@Falco](#):
>
> Hahahaha, I wish.

I didn’t say that was all there was to it. (😉) But I guess it doesn’t matter since I think LLM calls are made from Ruby.

> [@Falco](#):
>
> We log every single request and response to LLMs in a table, and allow admins to query those at any time via [Data Explorer](https://meta.discourse.org/t/32566?silent=true). Have you tried this already?

I haven’t yet, but this is brilliant - thank you! Theoretically, I could export these and programmatically create traces in LangSmith for evals and experiments.

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