CLI Ignores LLXPRT.md Instructions: Troubleshooting Guide

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Hey guys! Having trouble with your LLXPRT.md file not being recognized by the CLI? You're not alone! This guide will walk you through troubleshooting steps to get your CLI reading those instructions loud and clear. We'll cover everything from checking file locations to understanding how the CLI interacts with your LLXPRT.md. Let's dive in!

Understanding the Issue: Why Isn't My CLI Reading LLXPRT.md?

So, you've created your LLXPRT.md file, filled it with crucial instructions for the model, and expected the CLI to automatically pick it up, right? You're seeing that reassuring message – "Using: 1 LLXPRT.md file" – but the model's behavior isn't reflecting those instructions. Frustrating, isn't it? Let's break down the potential reasons and how to fix them.

The core problem seems to be that the CLI, despite acknowledging the presence of the LLXPRT.md file, isn't actually feeding its content to the underlying model. This means the instructions you've carefully crafted – whether it's about code style, specific responses, or anything else – are being ignored. This can lead to inconsistent output, wasted time, and a general feeling of "what's the point?"

We'll explore several possibilities, including incorrect file locations, caching issues, and potential bugs within the CLI itself. Remember, the goal here is to ensure that your LLXPRT.md file acts as the single source of truth for your model's behavior, giving you the control and predictability you need. The LLXPRT.md file is basically like a cheat sheet for the CLI, telling it exactly how you want things done. If it's not reading it, it's like trying to cook a recipe without actually looking at the instructions! So, let’s get this sorted out and make sure your CLI is following the recipe.

Key Areas to Investigate:

  • File Location, File Location, File Location: Seriously, this is the most common culprit. We'll double-check those paths and make sure the CLI is looking in the right places.
  • Caching Gremlins: Sometimes, the CLI might be holding onto old information. We'll try clearing the cache to force a refresh.
  • Command Syntax: Could there be a subtle error in how you're using commands like /memory add? We'll review the syntax and make sure everything's lined up.
  • CLI Bugs: It's rare, but software can have glitches! We'll consider the possibility of a bug and how to report it if necessary.

By the end of this guide, you'll have a solid understanding of how to troubleshoot this issue and get your CLI working as expected. Let’s get started!

Step-by-Step Troubleshooting Guide

Okay, let's get our hands dirty and start fixing this thing! We'll go through a series of steps, starting with the most common issues and moving towards the more technical ones. Remember to test after each step to see if the problem is resolved. Think of it like detective work – we're gathering clues and eliminating suspects until we find the culprit.

1. Verify the LLXPRT.md File Location

This is the most critical step, guys. The CLI needs to know exactly where to find your LLXPRT.md file. According to the information you provided, you've tried placing it in ~/.llxprt/ and the project root. Let's double-check these locations and also consider a few other possibilities:

  • ~/.llxprt/ (Your Home Directory's LLXPRT Folder): This is often the default location, so it's a good place to start. Use your terminal to navigate to this directory and make sure the file is actually there. A simple ls ~/.llxprt/ command will do the trick.
  • Project Root: This is the top-level directory of your project, where your code lives. If you want the instructions to be specific to a particular project, this is a good place to put the LLXPRT.md file. Again, use your terminal to navigate to your project's root and verify the file's presence.
  • Current Working Directory: The CLI might be looking in the directory where you're running the command from. Try placing a copy of LLXPRT.md in your current working directory and see if that resolves the issue.

Why is location so important? The CLI has a specific search path it follows when looking for the LLXPRT.md file. If the file isn't in one of those locations, it won't be loaded. Think of it like GPS – if you don't enter the correct address, you're not going to get to your destination!

Pro Tip: Use the pwd command in your terminal to print your current working directory. This can help you be absolutely sure where you are when you're placing the LLXPRT.md file.

2. Check for Typos in the File Name

Okay, this might seem super obvious, but trust me, it's worth checking! A simple typo in the file name – like LLXPRT.md instead of LLXPRT.md – can prevent the CLI from recognizing it. Double-check the spelling and capitalization of the file name. Computers are very literal, and they won't forgive even the smallest error.

3. Verify File Permissions

This is a slightly more technical step, but it's important. Your user account needs to have the correct permissions to read the LLXPRT.md file. If the permissions are set incorrectly, the CLI won't be able to access the file, even if it's in the right location.

On Linux and macOS, you can use the ls -l command to view file permissions. The output will look something like this:

-rw-r--r-- 1 yourusername yourgroup 1234 Oct 26 10:00 LLXPRT.md

The first part of the output (-rw-r--r--) shows the permissions. The r characters indicate read permissions. Make sure your user account has read permissions for the file.

If the permissions are incorrect, you can use the chmod command to change them. For example, to give your user account read permissions, you can use the following command:

chmod +r LLXPRT.md

Important: Be careful when changing file permissions! Incorrect permissions can cause security issues. If you're not sure what you're doing, it's best to consult with someone who is familiar with file permissions.

4. Clear the CLI Cache

Sometimes, the CLI might be holding onto cached information that's preventing it from recognizing your LLXPRT.md file. Clearing the cache can force the CLI to re-read the file and apply your instructions.

The method for clearing the cache will depend on the specific CLI you're using. Consult the CLI's documentation for instructions on how to clear the cache. There might be a specific command or flag you can use, or you might need to manually delete the cache files.

5. Examine the LLXPRT.md File Content

Okay, let's make sure the content of your LLXPRT.md file is actually valid and in a format the CLI can understand. This is like checking the recipe to make sure you haven't accidentally added salt instead of sugar!

  • Format: Most CLIs expect the LLXPRT.md file to be in plain text or Markdown format. Make sure your file doesn't contain any unexpected formatting or characters that the CLI might not be able to parse.
  • Syntax: Check the syntax of your instructions. Are you using the correct keywords and commands? Consult the CLI's documentation for the specific syntax it expects. A small typo in a command can prevent it from being recognized.
  • Content: Are your instructions clear and unambiguous? The model needs to be able to understand what you're asking it to do. If your instructions are too vague or contradictory, the model might not be able to follow them.

6. Test with a Simple Instruction

To isolate the issue, try adding a very simple instruction to your LLXPRT.md file, like "Always respond with 'Hello!'". This will help you determine if the CLI is reading the file at all. If the model consistently responds with "Hello!", you know the CLI is reading the file, and the issue might be with more complex instructions.

7. Verify Command Syntax for /memory add

You mentioned using the /memory add command directly. Let's double-check the syntax to make sure you're using it correctly. A slight syntax error can prevent the command from being recognized.

Consult the CLI's documentation for the correct syntax of the /memory add command. Pay attention to things like quotation marks, spaces, and the order of arguments. For example, the command might need to be formatted like this:

/memory add