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Posted

I don't really work on L2j anymore, but from time to time, I check up the forums just in case someone built something cool, and I stumbled upon this:

It's actually really easy to implement LLMs (both local, like gpt-oss, and online, like ChatGPT or Gemini) for any sort of action in L2.

Even without training a model explicitly, a good GPU and some basic LLM knowledge can take you very far. 

Here is an example of an auto play bot I made in 10 minutes that uses gpt-oss (which is mega overkill) locally with a 5090 to do some basic farming.
As you can see from the LM Studio responses, it is fairly fast (and uses reasoning too) to think about what's the best course of action for a given situation.
 

 

Basically just a quick proof of concept. If I had time, I would make something like this for auto-play/farm or bots, since LLMs would play really nicely with fake players that can actually think and are not completely pre-programmed. It's quite cool.

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Posted

Interesting. If I use one of those weaker LLMs locally that can even be connected to a VPS with a few GBs, will it also work?

If it is to do simple jobs

Posted
18 minutes ago, Litch said:

Interesting. If I use one of those weaker LLMs locally that can even be connected to a VPS with a few GBs, will it also work?

If it is to do simple jobs

You'll need to test it, but you need at least some decent GPU power for it to be reasonably fast. What you can also do is predictive actions, so send a single request that is bigger, let it take some time and then instruct the response to include a batch of 5-10 followup actions which can be processed on the client (the l2 server).

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