geppetto
glazed
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geppetto
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Bash One-Liners for LLMs
I'm heavily using https://github.com/go-go-golems/geppetto for my work, which has a CLI mode and TUI chat mode. It exposes prompt templates as command line verbs, which it can load from multiple "repositories".
I maintain a set of prompts for each repository I am working in (alongside custom "prompto" https://github.com/go-go-golems/prompto scripts that generate dynamic prompting context, i made quite a few for thirdparty libraries for example: https://github.com/go-go-golems/promptos ).
Here's some of the public prompts I use: https://github.com/go-go-golems/geppetto/tree/main/cmd/pinoc...
I am currently working on a declarative agent framework.
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LLMs are a revolution in open source
(author here): I am currently writing a book about programming with LLMs, I have absolutely put my money where my mouth is over the last year, and there is not doubt in my mind that we will see incredible tools in 2024.
Already the emergent tools and frameworks are impressive, and the fact that you can make them yours by adding a couple of prompting lines and really tailor them to your codebase is the killer factor.
My tooling ( https://github.com/go-go-golems/geppetto ) sucks ass UI wise, yet I get an incredible value out of it. It's hard to quantify as a 10X, because my code architecture has changed to accomodate the models.
In some ways, the trick to coding with LLMs is to... not have them produce code, but intermediate DSL representations. There's much more to it, thus the book.
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Build your own custom AI CLI tools
All of these examples were built in a couple of hours altogether. By the end of the article, you will be able to build them too, with no code involved.
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LLMs will fundamentally change software engineering
I don't bother manually writing any of this data munching / API wrapping / result validating code anymore. I had to build a server-to-server integration with Google Tag Manager recently. I literally copy pasted the webpage into a simple 3 line prompt and can now generate PHP classes, typescript interfaces, event log parsers, SQL serialization with a simple shell command.
glazed
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Build your own custom AI CLI tools
Jokes aside, general consensus amongst the GO GO GOLEMS has it that geppetto and pinocchio are pretty cool. They are both based on the glazed framework, more precisely based on the Command abstraction.
What are some alternatives?
pyllms - Minimal Python library to connect to LLMs (OpenAI, Anthropic, AI21, Cohere, Aleph Alpha, HuggingfaceHub, Google PaLM2, with a built-in model performance benchmark.
oak - GO GO PARSE YOUR CODE GO GO
biberon - A command-line tool to work with bibliography data
sqleton - ☠️ sqleton ☠️ is a CLI tool to execute SQL commands
escuse-me - GO GO GOLEM ELASTIC SEARCH GO GO GADGET - ESCUSE ME???
parka - Convert your CLI apps to APIs
majuscule
sgpt - SGPT is a command-line tool that provides a convenient way to interact with OpenAI models, enabling users to run queries, generate shell commands and produce code directly from the terminal.