[FIXED] Add PaLM vectorization source (#1182)
* Add PaLM vectorization source * FIX * Add API key check. Fix comment --------- Co-authored-by: Cohee <18619528+Cohee1207@users.noreply.github.com>
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@ -1,6 +1,7 @@
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import { eventSource, event_types, extension_prompt_types, getCurrentChatId, getRequestHeaders, is_send_press, saveSettingsDebounced, setExtensionPrompt, substituteParams } from "../../../script.js";
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import { eventSource, event_types, extension_prompt_types, getCurrentChatId, getRequestHeaders, is_send_press, saveSettingsDebounced, setExtensionPrompt, substituteParams } from "../../../script.js";
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import { ModuleWorkerWrapper, extension_settings, getContext, renderExtensionTemplate } from "../../extensions.js";
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import { ModuleWorkerWrapper, extension_settings, getContext, renderExtensionTemplate } from "../../extensions.js";
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import { collapseNewlines, power_user, ui_mode } from "../../power-user.js";
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import { collapseNewlines, power_user, ui_mode } from "../../power-user.js";
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import { SECRET_KEYS, secret_state } from "../../secrets.js";
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import { debounce, getStringHash as calculateHash, waitUntilCondition, onlyUnique } from "../../utils.js";
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import { debounce, getStringHash as calculateHash, waitUntilCondition, onlyUnique } from "../../utils.js";
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const MODULE_NAME = 'vectors';
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const MODULE_NAME = 'vectors';
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@ -116,8 +117,9 @@ async function synchronizeChat(batchSize = 5) {
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return newVectorItems.length - batchSize;
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return newVectorItems.length - batchSize;
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} catch (error) {
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} catch (error) {
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toastr.error('Check server console for more details', 'Vectorization failed');
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console.error('Vectors: Failed to synchronize chat', error);
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console.error('Vectors: Failed to synchronize chat', error);
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const message = error.cause === 'api_key_missing' ? 'API key missing. Save it in the "API Connections" panel.' : 'Check server console for more details';
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toastr.error(message, 'Vectorization failed');
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return -1;
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return -1;
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} finally {
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} finally {
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syncBlocked = false;
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syncBlocked = false;
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@ -287,6 +289,11 @@ async function getSavedHashes(collectionId) {
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* @returns {Promise<void>}
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* @returns {Promise<void>}
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*/
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*/
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async function insertVectorItems(collectionId, items) {
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async function insertVectorItems(collectionId, items) {
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if (settings.source === 'openai' && !secret_state[SECRET_KEYS.OPENAI] ||
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settings.source === 'palm' && !secret_state[SECRET_KEYS.PALM]) {
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throw new Error('Vectors: API key missing', { cause: 'api_key_missing' });
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}
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const response = await fetch('/api/vector/insert', {
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const response = await fetch('/api/vector/insert', {
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method: 'POST',
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method: 'POST',
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headers: getRequestHeaders(),
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headers: getRequestHeaders(),
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@ -15,6 +15,7 @@
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<select id="vectors_source" class="select">
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<select id="vectors_source" class="select">
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<option value="transformers">Local (Transformers)</option>
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<option value="transformers">Local (Transformers)</option>
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<option value="openai">OpenAI</option>
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<option value="openai">OpenAI</option>
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<option value="palm">Google MakerSuite (PaLM)</option>
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</select>
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</select>
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<div id="vectors_advanced_settings" data-newbie-hidden>
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<div id="vectors_advanced_settings" data-newbie-hidden>
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<label for="vectors_template">
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<label for="vectors_template">
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@ -0,0 +1,43 @@
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const fetch = require('node-fetch').default;
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const { SECRET_KEYS, readSecret } = require('./secrets');
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/**
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* Gets the vector for the given text from PaLM gecko model
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* @param {string} text - The text to get the vector for
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* @returns {Promise<number[]>} - The vector for the text
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*/
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async function getPaLMVector(text) {
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const key = readSecret(SECRET_KEYS.PALM);
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if (!key) {
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console.log('No PaLM key found');
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throw new Error('No PaLM key found');
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}
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const response = await fetch(`https://generativelanguage.googleapis.com/v1beta2/models/embedding-gecko-001:embedText?key=${key}`, {
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method: 'POST',
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headers: {
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'Content-Type': 'application/json',
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},
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body: JSON.stringify({
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text: text,
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})
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});
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if (!response.ok) {
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const text = await response.text();
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console.log('PaLM request failed', response.statusText, text);
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throw new Error('PaLM request failed');
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}
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const data = await response.json();
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// Access the "value" dictionary
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const vector = data.embedding.value;
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return vector;
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}
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module.exports = {
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getPaLMVector,
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};
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@ -15,6 +15,8 @@ async function getVector(source, text) {
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return require('./openai-vectors').getOpenAIVector(text);
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return require('./openai-vectors').getOpenAIVector(text);
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case 'transformers':
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case 'transformers':
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return require('./embedding').getTransformersVector(text);
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return require('./embedding').getTransformersVector(text);
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case 'palm':
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return require('./palm-vectors').getPaLMVector(text);
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}
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}
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throw new Error(`Unknown vector source ${source}`);
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throw new Error(`Unknown vector source ${source}`);
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