simonw / simonw/llm

Feature request: global super system prompt for LLM (a profile)

Open
#694 1 comment 5 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

Dominant language
Python
Stars
12.5k
Forks
998
Avg merge
3d 13h
Merged PRs (30d)
10

Description

Hi,
I would like to request a feature for LLM that allows users to define and use a global "super system prompt." This prompt would be applied across all interactions, regardless of the model or template being used. The purpose of this feature is to provide consistent response behavior and style according to user preferences.

A user-configurable setting where the user can define a system prompt that governs the tone, style, and response patterns for all outputs. Example prompt:

Skip Acknowledgment Phrases: Start your responses directly without any acknowledgment phrases like "sure" or others. Just provide the information I'm asking for.
Use Simple Language and Avoid Jargon: Please explain things in a straightforward manner without using technical terms or jargon.
Use Real-Life Examples: Make complex subjects easier to understand by using real-life analogies, metaphors, or examples.

It's in some way a profile. And it would be useful to have the ability to save and name these super system prompts as profiles.

Users could activate a specific profile by using a command-line parameter (e.g., -p profile_name).

Thank you for considering this feature request. Unfortunately, I am unable to help you with the code writing.

@simonw Thank you for so many amazing things you do

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by tracing the command-line option handling and the prompt assembly used across models and templates. Define how named, user-configurable profiles are stored, selected with a parameter such as -p, and applied consistently; done means one selected profile affects every interaction without model or template exceptions.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
ai, cli
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.