PromptL, a templating language designed for LLM prompting
Hey HN! We just launched PromptL: a templating language built to simplify writing complex prompts for LLMs like GPT-4 and Claude. Why PromptL? Creating dynamic prompts for LLMs can get tricky, even with standardized APIs that use lists of messages and settings. While these formats are consistent, building complex interactions with custom logic or branching paths can quickly become repetitive and hard to manage as prompts grow. PromptL steps in to make this simple. It allows you to define and manage LLM conversations in a readable, single-file format, with support for control flow and…
PromptL, a templating language designed for LLM prompting launched on November 14, 2024 with 7 votes and more than 75% of that year's launches. The site was still online in September 2026, 1 year on.
What it does
PromptL is a templating language for prompting Large Language Models (LLMs)
PromptL is a templating language specifically designed for LLM prompting. It provides a structured way to create, manage, and chain prompts with support for variables, control flow, and multi-modal content. The language spec, compiler and bindings, are built and maintained by Latitude , the open-source prompt engineering platform. PromptL files compile into a message format that's compatible with any LLM provider API through different adapters. The compiler transforms your structured templates into an array of messages, each with a role and content, ready to be sent to models like GPT-4, Claude, or any other LLM. --- model: gpt-4o temperature: 0.6 --- You are a useful AI assistant expert in…from promptl.ai
In the maker’s words, at launch
Hey HN! We just launched PromptL: a templating language built to simplify writing complex prompts for LLMs like GPT-4 and Claude. Why PromptL? Creating dynamic prompts for LLMs can get tricky, even with standardized APIs that use lists of messages and settings. While these formats are consistent, building complex…
Does a similar job
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Recursive LLM Prompts2023 · github.com · ▲97I've been playing with the idea of an LLM prompt that causes the model to generate and return a new prompt. https://github.com/andyk/recursive_llm The idea I'm starting with is to implement recursion using English as the programming language and GPT as the runtime. It’s kind of like traditional recursion in code, but instead of having a function that calls itself with a different set of arguments, there is a prompt that returns itself with specific parts updated to reflect the new arguments. Here is a prompt for infinitely generating Fibonacci numbers: > You are a…
Prompt Engine – Auto pick LLMs based on your prompts2024 · jigsawstack.com · ▲93Nowadays, a common AI tech stack has hundreds of different prompts running across different LLMs. Three key problems: - Choices, picking from 100s of LLMs the best LLM for that 1 prompt is gonna be challenging, you're probably not picking the most optimized LLM for a prompt you wrote. - Scaling/Upgrading, similar to choices but you want to keep consistency of your output even when models depreciate or configurations change. - Prompt management is scary, if something works, you'll never want to touch it but you should be able to without fear of everything breaking. So we launched Prompt…
PromptTools – open-source tools for evaluating LLMs and vector DBs2023 · github.com · ▲211Hey HN! We’re Kevin and Steve. We’re building PromptTools (https://github.com/hegelai/prompttools): open-source, self-hostable tools for experimenting with, testing, and evaluating LLMs, vector databases, and prompts. Evaluating prompts, LLMs, and vector databases is a painful, time-consuming but necessary part of the product engineering process. Our tools allow engineers to do this in a lot less time. By “evaluating” we mean checking the quality of a model's response for a given use case, which is a combination of testing and benchmarking. As examples: - For generated…
lambdaprompt – build, compose and call templated LLM prompts2022 · github.com · ▲9For the past few months I've been building a lot of things with LLMs (GPT-3, Codex, etc.) as I've been trying to push them to their limits (especially towards applying them to the tabular data domain) When working on this, I've found there are some common patterns for solving problems (templating, chaining, functional-programming style operations, etc.) As I've iterated, I've come to believe that a functional style interface is likely going to power a new wave of systems I'm calling "prompt-machines"(systems where the core new unit of work is a "named" LLM prompt, extending the "function"…
Promptr, let GPT operate on your codebase and other useful goodies2023 · github.com · ▲109Hi HN, I've been working on an experimental tool that helps you use GPT to work on your codebase. I'd love to improve the tool if there's interest. New ideas welcome! I think this could also be useful for experimenting with other types of recursive prompts. It’s a little bit Swiss Army knife and a little bit skynet: https://github.com/ferrislucas/promptr From the README: Promptr is a CLI tool for operating on your codebase using GPT. Promptr dynamically includes one or more files into your GPT prompts, and it can optionally parse and apply the changes that GPT suggests to…

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