@chatjet-ai/core NPM

`@chatjet-ai/core`

@chatjet-ai/core is the core library for Chatjet, a conversational AI component for your website, trained on your data.

It contains core functionality for Chatjet and allows you to build abstractions on top of it.

Installation

npm install @chatjet-ai/core

In browsers with esm.sh:

<script type="module">
  import { submitPrompt } from 'https://esm.sh/@chatjet-ai/core';
</script>

Usage

import { submitPrompt } from '@chatjet-ai/core';

// user input
const prompt = 'Hello, Markprompt!';
// can be obtained in your project settings on markprompt.com
const projectKey = '<project-key>';

// called when a new answer chunk is available
// should be concatenated to previous chunks
function onAnswerChunk(chunk) {
  // process an answer chunk
}

// called when references are available
function onReferences(references) {
  // process references
}

// called when submitPrompt encounters an error
const onError(error) {
  // handle errors
}

// optional options, defaults displayed
const options = {
  model: 'gpt-3.5-turbo', // supports all OpenAI models
  iDontKnowMessage: 'Sorry, I am not sure how to answer that.',
  completionsUrl: 'https://chatjet.co/v1/completions', // or your own completions API endpoint,
};

await submitPrompt(prompt, projectKey, onAnswerChunk, onReferences, onError, options);

API

`submitPrompt(prompt, projectKey, onAnswerChunk, onReferences, onError, options?)`

Submit a prompt the the Markprompt API.

Arguments

prompt (string): Prompt to submit to the model
projectKey (string): The key of your project
onAnswerChunk (function): Answers come in via streaming. This function is called when a new chunk arrives
onReferences (function): This function is called when a chunk includes references.
onError (function): called when an error occurs
options (object): Optional options object

Options

completionsUrl (string): URL at which to fetch completions
iDontKnowMessage (string): Message returned when the model does not have an answer
model (OpenAIModelId): The OpenAI model to use
promptTemplate (string): The prompt template
temperature (number): The model temperature
topP (number): The model top P
frequencyPenalty (number): The model frequency penalty
presencePenalty (number): The model present penalty
maxTokens (number): The max number of tokens to include in the response
sectionsMatchCount (number): The number of sections to include in the prompt context
sectionsMatchThreshold (number): The similarity threshold between the input question and selected sections
signal (AbortSignal): AbortController signal