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AI · alternatives · 2026

24 alternatives to Runprompt – run .prompt files from the command line

I built a single-file Python script that lets you run LLM prompts from the command line with templating, structured outputs, and the ability to chain prompts together. When I discovered Google's Dotprompt format (frontmatter + Handlebars templates), I realized it was perfect for something I'd been wanting: treating prompts as first-class programs you can pipe together Unix-style. Google uses Dotprompt in Firebase Genkit and I wanted something simpler - just run a .prompt file directly on the command line. Here's what it looks like: --- model: anthropic/claude-sonnet-4-20250514 output:…

Runprompt is a Python command-line tool that lets users run LLM prompts stored as .prompt files, using Google's Dotprompt format with frontmatter configuration and Handlebars templating. It supports structured JSON… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.

  1. 1

    LLM 0.26 is out with the biggest new feature since I started the project: support for tools. You can now use the LLM CLI tool—and Python library—to grant LLMs from …

    2025 · simonwillison.net · its alternatives →

  2. 2RY

    Hey HN, we've just finished building a dynamic router for LLMs, which takes each prompt and sends it to the most appropriate model and provider. We'd love to know what you think! Here is a quick(ish) screen-recroding explaining how it works: https://youtu.be/ZpY6SIkBosE Best results when training a custom router on your own prompt data: https://youtu.be/9JYqNbIEac0 The router balances user preferences for quality, speed and cost. The end result is higher quality and faster LLM responses at lower cost. The quality for each candidate LLM is predicted ahead of time…

    2024 · unify.ai · its alternatives →

  3. 3

    The Ultimate Open Source Library for Gemini & Nano

    Jan 2026 · its alternatives →

  4. 4

    Heroku for AI prompts

    Apr 2026 · its alternatives →

  5. 5

    Generate the perfect prompt for GPT4 & open source models

    2024 · its alternatives →

  6. 6FI

    I found that I am using ChatGPT more and more to get the FFmpeg command I need, but the process can be a bit tedious: copy-pasting commands, dealing with input file names and locations, making sure the prompt contains enough info about the input files. This site attempts to solve that. You just describe what you want to do, pick the input files and an LLM (currently DeepSeek) generates the FFmpeg command. You can then run it directly in your browser or use the command elsewhere.

    2025 · vidmix.app · its alternatives →

  7. 7

    This is a Python package that allows you to write function signatures to define LLM queries. This makes it easy to mix regular code with calls to LLMs, which enables you to use the LLM for its creativity and reasoning while also enforcing structure/logic as necessary. LLM output is parsed for you according to the return type annotation of the function, including complex return types such as streaming an array of structured objects. I built this to show that we can think about using LLMs more fluidly than just chains and chats, i.e. more interchangeably with regular code, and to make it…

    2023 · github.com · its alternatives →

  8. 8

    Organize prompts, track changes, and iterate faster.

    Jan 2026 · pingprompt.dev · its alternatives →

  9. 9

    https://github.com/elijah-potter/ofc

    2025 · elijahpotter.dev · its alternatives →

  10. 10

    Hi 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…

    2023 · github.com · its alternatives →

  11. 11

    Hey 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…

    2023 · github.com · its alternatives →

  12. 12

    What it is A single 45 MB Windows .exe that embeds llama.cpp and a minimal Tk UI. Copy it (plus any .gguf model) to a flash drive, double-click on any Windows PC, and you’re chatting with an LLM—no admin rights, Cloud, or network. Why I built it Existing “local LLM” GUIs assume you can pip install, pass long CLI flags, or download GBs of extras. I wanted something my less-technical colleagues could run during a client visit by literally plugging in a USB drive. How it works PyInstaller one-file build → bundles Python runtime, llama_cpp_python, and the UI into a single PE. On first launch, it…

    2025 · github.com · its alternatives →

  13. 13

    Task runner that helps you easily manage and invoke small scripts and wrappers - TekWizely/run

    2019 · github.com · its alternatives →

  14. 14

    Save & paste your AI prompts without switching tabs.

    2025 · superprompts.framer.website · its alternatives →

  15. 15

    Prompt playground, you can run 3rd party prompts & save them

    2023 · playprompt.surge.sh · its alternatives →

  16. 16

    Prompt logger + debugger for LLMs

    2023 · github.com · its alternatives →

  17. 17

    Bash4LLM is a single-file Bash wrapper for interacting with LLMs from the terminal. I created it because I wanted something simple that worked without installing Python, Node, or any other runtime. It uses only Bash, curl, and jq. You can send prompts, start a small chat, process files line by line, stream output, and save session metadata in JSON format. I tried to make it safe and predictable: no use of the system /tmp, no use of eval. Groq is supported by default, and other providers can be added with dedicated Bash scripts in the extras/providers/ folder. Example: echo…

    Jun 2026 · github.com · its alternatives →

  18. 18

    Store you AI templates easily and powerfully

    2023 · its alternatives →

  19. 19

    Hi HN! We’re Adrien and Kanav. We met at our previous job, where we spent about a third of our lives combating a constant firehose of bugs. In the hope of reducing this pain for others in the future, we’re working on automating debugging. We’re currently working on a platform that ingests logs and then automatically reproduces, root causes and ultimately fixes production bugs as they happen. You can see some of our work on this here - https://news.ycombinator.com/item?id=39528087 As we were building the root-cause phase of our automated debugger, we realized that we developed…

    2024 · github.com · its alternatives →

  20. 20

    A CLI tool to convert your codebase into a single LLM prompt

    2025 · github.com · its alternatives →

  21. 21

    This is my take on the common "use llms to generate shell commands" utility. Emphasis is placed on good CLI UX, simplicity, and flexibility. `llm2sh` supports multiple LLM providers and lets LLMs generate multi-command sequences to handle complex tasks. There is also limited support for commands requiring `sudo` and other basic input. I recommend using Groq llama3-70b for day-to-day use. The ultra-low latency is a game-changer - its near-instant responses helps `llm2sh` integrate seamlessly into day-to-day tasks without breaking you out of the 'zone'. For more advanced tasks, swapping to…

    2024 · github.com · its alternatives →

  22. 22
    folio▲74

    hi HN! a couple of months ago I had to analyze a few thousand audio recordings to help identify issues with customer support. i was able to get some raw high-level initial results with python scripts invoking LLM APIs, but they were too general and unhelpful. writing basic prompts is easy, but tuning them and making them specific enough to ensure no faint signal is missed is hard. you need to iterate through the data with an initial prompt, segment the data into different buckets, chain another prompt for each bucket etc. Then you need to constantly review the raw data to tweak the prompts…

    Apr 2026 · usefolio.ai · its alternatives →

  23. 23CI

    One of the most frequent questions one faces while running LLMs locally is: I have xx RAM and yy GPU, Can I run zz LLM model ? I have vibe coded a simple application to help you with just that. Update: A lot of great feedback for me to improve the app. Thank you all.

    2025 · can-i-run-this-llm-blue.vercel.app · its alternatives →

  24. 24

    PromptLayer is the prompt management platform for AI teams. Version prompts, run LLM evals, and monitor agents in production with tracing, logs, and regression sets.

    2023 · promptlayer.com · its alternatives →

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