llm-api
multi-gpt
| llm-api | multi-gpt | |
|---|---|---|
| 1 | 1 | |
| 130 | 44 | |
| - | - | |
| 8.1 | 5.5 | |
| 5 days ago | 12 months ago | |
| TypeScript | Clojure | |
| MIT License | MIT License |
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llm-api
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The Problem with LangChain
You don't need to look at the code: I looked at the release notes and the garbage fire of unrelated nonsense getting added and got to skip even installing it.
Langchain is almost required at this point to accept anything. They raised money, and now their growth metric is Github stars.
A simple wrapper around the APIs (I used llamaflow, which is now llm-api https://github.com/dzhng/llm-api) and a templating engine is most of what you need.
AI is not at a point where generalist prompts to do agent/memory/search things is a good idea for a real product. You need to integrate procedural guidance unless you want your UX to be awful.
multi-gpt
What are some alternatives?
jehuty - Fluent API to interact with chat based GPT model
llm - Access large language models from the command-line
gchain - Composable LLM Application framework inspired by langchain
aipl - Array-Inspired Pipeline Language
sqlite-vss - A SQLite extension for efficient vector search, based on Faiss!
llm-gpt4all - Plugin for LLM adding support for the GPT4All collection of models
buildabot - A production-grade framework for building AI agents.
bosquet - Tooling to build LLM applications: prompt templating and composition, agents, LLM memory, and other instruments for builders of AI applications.