0.1.19 • Published 11 months ago

@dithercat/servitor v0.1.19

Weekly downloads
-
License
BSD-2-Clause
Repository
github
Last release
11 months ago

servitor

stupid simple LLM chatbot framework designed for multiuser chats

currently extremely unstable and not really ready for use

if you just want to make a discord LLM bot, see ensata, the reference implementation of servitor

features

  • interchangeable inference/embedding drivers
    • basilisk (recommended)
      • developed in parallel with servitor and supports all the features it uses
    • text-generation-webui and compatible API services (incomplete)
      • does not natively support embeddings, which are required for long-term memory
    • OpenAI-compatible API services (incomplete)
      • does not currently support token counting, resulting in inefficient context space allocation
    • writing your own driver for something else should be pretty easy (see src/driver/base.ts)
  • dynamic context reallocation
    • context is windowed to 2048 tokens (for LLaMA)
    • if some piece of information (such as long-term memory) is injected into the context, then the conversation window shrinks to accomodate it and expands again once that information is removed
  • universal internal monologue system
    • allows better planning of replies
    • as a side-effect, creates some level of self-consistency for the simulacrum
  • vector memory (still ironing this out)
    • persistent driver backed by pgvector
    • simple in-memory driver

faq

  • who is this for? - primarily, myself. however, im releasing this publicly with the hope that someone else who wants to build a chatbot for i.e. discord will find it useful.

  • why not just use langchain? - it doesnt support multiuser chats, only one-on-one conversations between "Human" and "AI". i investigated using it, but ultimately i had to roll every part of the stack for this use case myself anyway, so it wasnt worth it.

  • why "servitor"? - this library is named after the chaos magic concept of the same name, because the concepts, motivations, and processes involved in the construction of servitors operating within the framework of a human psyche has interesting parallels with that of agent simulacra operating within the framework of humanity's collective psyche as distilled into LLMs.

    and in both cases, as per rule #3 of sudo, with great power comes great responsibility.

0.1.19

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