NEnerpderp82·Mar 6, 2024
Mentioned packages
https://github.com/eth-sri/lmql
https://github.com/outlines-dev/outlines
https://github.com/guidance-ai/guidance
In Show HN: Fructose – LLM calls as strongly typed functionseth-sri
lmql
Python2023–2024
eth-sri / lmql
lmql
A language for constraint-guided and efficient LLM programming.
6Distinct people
7Mentions
0Explicit recommenders
4.2KGitHub stars
What to know before exploring
What it is
A language for constraint-guided and efficient LLM programming.
GitHub
Where it is used
No documented product use was verified in the last source check.
What people are saying
No recommendation phrase was found in the indexed comments.
No classified warning is attached to this page. Read the discussions before treating silence as approval.
Also in these discussions
- guidance-ai/guidance · linked in 2 of the same discussions
Mentioned in the same Hacker News threads. That is not proof they are substitutes.
This week on Hacker News
Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:56:07 PM UTC.
No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.
Mentions over time
HN mentions by month7 dated mentions
Observed mentions: 2023-04-15 06:39:03 UTC to 2024-03-06 19:35:28 UTC.
Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.
View mention counts and date ranges
| Period | Start (UTC) | End (exclusive, UTC) | Mentions | Submissions | Comments |
|---|---|---|---|---|---|
| Apr 2023 | 2023-04-01 00:00:00 UTC | 2023-05-01 00:00:00 UTC | 1 | 0 | 1 |
| May 2023 | 2023-05-01 00:00:00 UTC | 2023-06-01 00:00:00 UTC | 2 | 1 | 1 |
| Jun 2023 | 2023-06-01 00:00:00 UTC | 2023-07-01 00:00:00 UTC | 0 | 0 | 0 |
| Jul 2023 | 2023-07-01 00:00:00 UTC | 2023-08-01 00:00:00 UTC | 1 | 0 | 1 |
| Aug 2023 | 2023-08-01 00:00:00 UTC | 2023-09-01 00:00:00 UTC | 0 | 0 | 0 |
| Sep 2023 | 2023-09-01 00:00:00 UTC | 2023-10-01 00:00:00 UTC | 1 | 0 | 1 |
| Oct 2023 | 2023-10-01 00:00:00 UTC | 2023-11-01 00:00:00 UTC | 0 | 0 | 0 |
| Nov 2023 | 2023-11-01 00:00:00 UTC | 2023-12-01 00:00:00 UTC | 0 | 0 | 0 |
| Dec 2023 | 2023-12-01 00:00:00 UTC | 2024-01-01 00:00:00 UTC | 0 | 0 | 0 |
| Jan 2024 | 2024-01-01 00:00:00 UTC | 2024-02-01 00:00:00 UTC | 0 | 0 | 0 |
| Feb 2024 | 2024-02-01 00:00:00 UTC | 2024-03-01 00:00:00 UTC | 1 | 0 | 1 |
| Mar 2024 | 2024-03-01 00:00:00 UTC | 2024-04-01 00:00:00 UTC | 1 | 0 | 1 |
What Hacker News says
7 sourcesThese may be useful
https://github.com/ggerganov/llama.cpp/blob/master/grammars
https://github.com/guidance-ai/guidance?tab=readme-ov-file#c...
https://github.com/eth-sri/lmql/issues/172
In Show HN: Supermaven, the first code completion tool with 300k token contextThis is also similar in spirit to LMQL
https://github.com/eth-sri/lmql
In Show HN: Magentic – Use LLMs as simple Python functionsLLM calls are just function calls, so most functional composition is already afforded by any general-purpose language out there. If you need fancy stuff, use something like Python‘s functools.
Working on https://github.com/eth-sri/lmql (shameless plug, sorry), we have always found that compositional abstractions on top of LMQL are mostly there already, once you internalize prompts being functions.
In The Problem with LangChainYes, you are correct. LMQL has its own interpreter and runtime, that executes and translates your query programs into multiple LLM calls, required to satisfy your overall workload. It is inherently multi-part and automates several consecutive calls to the LLM, based on the query program and prompt template that you provide.
Re Node.js: We are actively investigating LMQL use from other languages than Python (see also https://github.com/eth-sri/lmql/issues/1). The current interpreter is quite closely tied to a Python environment, meaning to use it from Node.js, you will at least have to host a Python interpreter as a subprocess for now. We are actively looking into gRPC/inter-process communication though, hoping to improve on this a bit in the near future.
In LMQL: A query language for programming (large) language modelsLMQL: A query language for programming (large) language models
108 points · Open discussionyou joke, but https://github.com/eth-sri/lmql
In Prompt injection: what’s the worst that can happen?