Fancy sharing the details of your prompt? I might like to recreate in a corporate environment.

No sweat if your keeping it closed.

I switched out the router and things started working. Very weird, but I can’t tho jot anything other than it being the Virgin Media hub not liking it. Apparently they have history on this.

Yes, everything looks right. I moved dhcp resolution from the router to technitium recently, but hadn’t set up local resolution.

I’m currently thinking the router is the culprit. Here in the UK there are lots of forum posts complaining about the Virgin Media gear. Nothing specifically describes my problem but I’m going to try a new router over the weekend.

Thanks for the suggestion, I’ll grab a cap to check.

I’m running tcpdump -i any port 53. I can see the outbound request but not the reply. Will the cap show me anything more?

Thanks for giving it some thought!

I have been testing using dig @192.168.0.249 study.lan

3, 4, and 5 work for TXT, NS and SOA but doesn’t work for A records. I think this rules out a simple network issue?

Thanks for replying, I appreciate the response.

I’m running dig @192.168.0.249 study.lan from my client (a MacBook).

If I run ‘dig @192.168.0.249 study.lan TXT’ I get a correct response (I have added a txt record)

If I run ‘dig @192.168.0.249 lan SOA’ or ‘NS’ I correctly get the records for the zone.

I think this eliminates the possibility of it being a routing error?

I don’t know how tech savvy you are, but I’m assuming since your on lemmy it’s pretty good :)

The way we’ve solved this sort of problem in the office is by using the LLM’s JSON response, and a prompt that essentially keeps a set of JSON objects alongside the actual chat response.

In the DND example, this would be a set character sheets that get returned every response but only changed when the narrative changes them. More expensive, and needing a larger context window, but reasonably effective.

I can’t decide if I want this to have been written by an AI or not.

Part of the problem here I think relates to scale.

If I invite a load of friends over to my house for a party, they might be in different rooms having different conversations but they’re all my friends in my house. No one cares who I let in or kick out, certainly not either of the next groups.

Let’s say I’m part of the committee for the local community hall. We let our halls out to clubs. Some of the committee go to some of the clubs. I might not be interested in what it is, but if someone I trust says they are OK, I’m OK.

At the local University they have a lot of spaces, each managed by the respective school. Each school has a slightly different ethos. Some of them might let their space to groups that other schools wouldn’t, but it’s not their call. They share some resources but not decision making.

We’ve got this problem emerging. The decisions made by lemmyworld or other large instances are generally in service to their communities, whereas on smaller or more focused instances the instance level decisions are the same as community level decisions.

Thanks for the link. I knew nothing about him and that was cool.

Without going to whole hog and hosting my own infrastructure, what are some good alternatives?

Anyone have a view on how this overlaps on the Azure platform? MS are pushing Bing Chat Enterprise alongside the API access.