llm-api
buildabot
| llm-api | buildabot | |
|---|---|---|
| 1 | 1 | |
| 130 | 70 | |
| - | - | |
| 8.1 | 6.7 | |
| 5 days ago | about 1 year ago | |
| TypeScript | TypeScript | |
| MIT License | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
llm-api
-
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.
buildabot
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The Problem with LangChain
After running into these issues a few others and I wrote a typescript agent framework that I think significantly improves on LangChain in many ways: https://github.com/sciencecorp/buildabot/
It’s still very early days for software composing AI models and we almost certainly don’t have all the right metaphors yet. And I think there is a lot to be said for strong typing and simple, robust code!
What are some alternatives?
jehuty - Fluent API to interact with chat based GPT model
multi-gpt - A Clojure interface into the GPT API with advanced tools like conversational memory, task management, and more
gchain - Composable LLM Application framework inspired by langchain
aipl - Array-Inspired Pipeline Language
llm-gpt4all - Plugin for LLM adding support for the GPT4All collection of models
llm - Access large language models from the command-line
bosquet - Tooling to build LLM applications: prompt templating and composition, agents, LLM memory, and other instruments for builders of AI applications.
lmql - A language for constraint-guided and efficient LLM programming.