llm-rs

Crates.iollm-rs
lib.rsllm-rs
version0.1.1
sourcesrc
created_at2023-04-25 01:28:40.869175
updated_at2023-05-31 08:37:25.721957
descriptionA library, with a command line interface, to exploit Large Language Models
homepage
repositoryhttps://github.com/worikgh/llm-rs/
max_upload_size
id848098
size3,339,052
Worik Stanton (worikgh)

documentation

README

A Package to Interact with Large Language Models

This is only interacting with OpenAI's language models

The Command Line Interface cli

There is a library that exposes the various endpoints and a command line binary (cli) to use it

To use: cargo run --bin cli -- --help

Command line argument definitions

Usage: cli [OPTIONS]

Options:
  -m, --model <MODEL>                  The model to use [default: text-davinci-003]
  -t, --max-tokens <MAX_TOKENS>        Maximum tokens to return [default: 2000]
  -T, --temperature <TEMPERATURE>      Temperature for the model [default: 0.9]
      --api-key <API_KEY>              The secret key.  [Default: environment variable `OPENAI_API_KEY`]
  -d, --mode <MODE>                    The initial mode (API endpoint) [default: completions]
  -r, --record-file <RECORD_FILE>      The file name that prompts and replies are recorded in [default: reply.txt]
  -p, --system-prompt <SYSTEM_PROMPT>  The system prompt sent to the chat model
  -h, --help                           Print help
  -V, --version                        Print version

When the programme is running, enter prompts at the ">".

Generally text entered is sent to the LLM.

Text that starts with "! " is a command to the system.

Command Line Interface

There is a cli to flex the API.

List of Meta Commands

Meta commands that effect the performance of the programme are prefixed with a ! character, and are:

Command Result
! p Display settings
! md Display all models available available
! ms Change the current model
! ml List modes Change mode (API endpoint)
! v Set verbosity
! k Set max tokens for completions
! t Set temperature for completions
! sp Set system prompt (after ! cc
! ci Clear image mask Set the mask to use in image edit mode. A 1024x1024 PNG with transparent mask
! a Audio file for transcription
! ci Clear the image stored for editing
! f List the files stored on the server
! fu Upload a file of fine tuning data
! fd Delete a file
! fi Get information about file
! fc [destination_file] Get contents of file
! fl Associate the contents of the path with name for use in prompts like: {name}
! dx Display context (for chat)
! cx Clear context
! sx Save the context to a file at the specified path
! rx Restore the context from a file at the specified path
! ? This text

C-q or C-c to quit.

Features

  • Save and restore the context of a chat ! sx <path>, ! rx <path> Does not save the system prompt, yet.
  • Include file content in prompt ! fl <name> <path> Then "Summarise {name}"
  • Display the cost of a chat session It is in US cents, and an over estimate.
  • Command History Courtesy of rustyline

Modes

The LLMs can be used in different modes. Each mode corresponds to an API endpoint.

The meaning of the prompts change with the mode.

Completions

  • Each prompt is independent
  • Temperature is very important.
  • The maximum tokens influences how long the reply will be

Chat

  • Prompts are considered in a conversation.
  • When switching to chat mode supply the "system" prompt. It a message that is at the start of the conversation with role set to "system". It defines the characteristics of the machine. Some examples:
    • You are a grumpy curmudgeon
    • You are an expert in physics. Very good at explaining mathematical equations in basic terms
    • You answer all queries in rhyme .

Image and Image Edit

Generate or edit images based on a prompt.

Lolipop clown

Enter Image mode with the meta command: ! m image [image to edit]. If you provide an image to edit "ImageEdit" mode is entered instead, and the supplied image is edited.

If an image is not supplied (at ! m image prompt) the user enters a prompt and an image is generated by OpenAI based n that prompt. It is stored for image edit. Generating a new image over writes the old one.

Mask To edit an image the process works best if a mask is supplied. This is a 1024x1024 PNG image with a transparent region. The editing will happen in the transparent region. There are two ways to supply a mask: when entering image edit, or with a meta command

  1. Entering Image Edit Supply the path to the meta command switching to Image Edit: ! m image_edit path_to/mask.png
  2. Using the mask Meta Command The mask can be set or changed at any time using the meta command: ! mask path/to_mask.png

If no mask is supplied a 1024x1024 transparent PNG file is created and used.

Commit count: 91

cargo fmt