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gpt-preview

v0.0.12

Published

Previewing the output of an LLM or AI Agent: allow user to preview LLM actions before approving them OR use as a dev tool.

Readme

gpt-preview README

A Node.js library and dev tool for previewing the output of an LLM or AI Agent (using an LLM)

  • take complex output such as Function Calls or GraphQL mutations, and generate easy to view 'previews'

  • can be used as a library in an AI application, to provide user with a preview of the AI actions, before the user actually agrees to apply the actions.

  • can be used as a dev tool, by taking the AI output and pasting it into a locally run website.

  • currently can summarize to:

    • DOT (graphviz) format
    • JSON format (containing short and long text summaries)
  • supports LLM hosted on AWS Bedrock or OpenaI

npm Package NPM Downloads

License: MIT

ko-fi

Setup

Usage [as command line tool]

  • Clone this git repository

  • Install dependencies

npm install

The config file needs to be named 'config.gpt-preview.json' and placed in the current working directory.

Then you can run the tool:

./go.sh <path to text file containing the LLM output> [OPTIONS]
- where OPTIONS are:
    -f=<DOT|JSON> (default is DOT)
    -o=<path to output file>

Usage [as an npm library]

npm install gpt-preview

To summarize text in-memory (to a variable 'summary') => JSON format:

import { OutputFormat, Platform, summarizeText } from "gpt-preview";

const config = {
  "platform": Platform.AwsBedrock,
  "isDebug": false,
  "modelId": "eu.anthropic.claude-3-5-sonnet-20240620-v1:0",
  "maxTokens": 2048,
  "temperature": 0.7,
  "top_p": 0.9,
  "awsRegion": "eu-west-1"
}

const summary = await summarizeText(
    "My LLM output to summarize",
    OutputFormat.JSON,
    config
    );

To summarize a file => DOT format:

import { OutputFormat, Platform, summarizeFile } from "gpt-preview";

const config = {
  "platform": Platform.AwsBedrock,
  "isDebug": false,
  "modelId": "eu.anthropic.claude-3-5-sonnet-20240620-v1:0",
  "maxTokens": 2048,
  "temperature": 0.7,
  "top_p": 0.9,
  "awsRegion": "eu-west-1"
}

const summary = await summarizeFile(
    "./temp/my-LLM-output.txt",
    OutputFormat.DOT,
    config,
    "./temp/my-summary.dot"
    );

To use OpenAI instead of AWS Bedrock, simply change the config:

const config = {
  "platform": Platform.OpenAI,
  "isDebug": false,
  "modelId": "gpt-4o-mini",
  "maxTokens": 2048,
  "temperature": 0.7,
  "top_p": 0.9
}