Files
SillyTavern/src/openai-vectors.js
2023-12-17 10:38:04 +01:00

77 lines
2.0 KiB
JavaScript

const fetch = require('node-fetch').default;
const { SECRET_KEYS, readSecret } = require('./endpoints/secrets');
const SOURCES = {
'mistral': {
secretKey: SECRET_KEYS.MISTRAL,
url: 'api.mistral.ai',
model: 'mistral-embed',
},
'openai': {
secretKey: SECRET_KEYS.OPENAI,
url: 'api.openai.com',
model: 'text-embedding-ada-002',
},
'togetherai': {
secretKey: SECRET_KEYS.TOGETHERAI,
url: 'api.togetherai.xyz',
model: 'togethercomputer/GPT-NeoXT-Chat-Base-20B',
},
};
/**
* Gets the vector for the given text from an OpenAI compatible endpoint.
* @param {string} text - The text to get the vector for
* @param {string} source - The source of the vector
* @returns {Promise<number[]>} - The vector for the text
*/
async function getOpenAIVector(text, source) {
const config = SOURCES[source];
if (!config) {
console.log('Unknown source', source);
throw new Error('Unknown source');
}
const key = readSecret(config.secretKey);
if (!key) {
console.log('No API key found');
throw new Error('No API key found');
}
const url = config.url;
const response = await fetch(`https://${url}/v1/embeddings`, {
method: 'POST',
headers: {
'Content-Type': 'application/json',
Authorization: `Bearer ${key}`,
},
body: JSON.stringify({
input: text,
model: config.model,
}),
});
if (!response.ok) {
const text = await response.text();
console.log('API request failed', response.statusText, text);
throw new Error('API request failed');
}
const data = await response.json();
const vector = data?.data[0]?.embedding;
if (!Array.isArray(vector)) {
console.log('API response was not an array');
throw new Error('API response was not an array');
}
return vector;
}
module.exports = {
getOpenAIVector,
};