mirror of
https://github.com/danny-avila/LibreChat.git
synced 2025-12-28 22:28:51 +01:00
refactor: Encrypt & Expire User Provided Keys, feat: Rate Limiting (#874)
* docs: make_your_own.md formatting fix for mkdocs * feat: add express-mongo-sanitize feat: add login/registration rate limiting * chore: remove unnecessary console log * wip: remove token handling from localStorage to encrypted DB solution * refactor: minor change to UserService * fix mongo query and add keys route to server * fix backend controllers and simplify schema/crud * refactor: rename token to key to separate from access/refresh tokens, setTokenDialog -> setKeyDialog * refactor(schemas): TEndpointOption token -> key * refactor(api): use new encrypted key retrieval system * fix(SetKeyDialog): fix key prop error * fix(abortMiddleware): pass random UUID if messageId is not generated yet for proper error display on frontend * fix(getUserKey): wrong prop passed in arg, adds error handling * fix: prevent message without conversationId from saving to DB, prevents branching on the frontend to a new top-level branch * refactor: change wording of multiple display messages * refactor(checkExpiry -> checkUserKeyExpiry): move to UserService file * fix: type imports from common * refactor(SubmitButton): convert to TS * refactor(key.ts): change localStorage map key name * refactor: add new custom tailwind classes to better match openAI colors * chore: remove unnecessary warning and catch ScreenShot error * refactor: move userKey frontend logic to hooks and remove use of localStorage and instead query the DB * refactor: invalidate correct query key, memoize userKey hook, conditionally render SetKeyDialog to avoid unnecessary calls, refactor SubmitButton props and useEffect for showing 'provide key first' * fix(SetKeyDialog): use enum-like object for expiry values feat(Dropdown): add optionsClassName to dynamically change dropdown options container classes * fix: handle edge case where user had provided a key but the server changes to env variable for keys * refactor(OpenAI/titleConvo): move titling to client to retain authorized credentials in message lifecycle for titling * fix(azure): handle user_provided keys correctly for azure * feat: send user Id to OpenAI to differentiate users in completion requests * refactor(OpenAI/titleConvo): adding tokens helps minimize LLM from using the language in title response * feat: add delete endpoint for keys * chore: remove throttling of title * feat: add 'Data controls' to Settings, add 'Revoke' keys feature in Key Dialog and Data controls * refactor: reorganize PluginsClient files in langchain format * feat: use langchain for titling convos * chore: cleanup titling convo, with fallback to original method, escape braces, use only snippet for language detection * refactor: move helper functions to appropriate langchain folders for reusability * fix: userProvidesKey handling for gptPlugins * fix: frontend handling of plugins key * chore: cleanup logging and ts-ignore SSE * fix: forwardRef misuse in DangerButton * fix(GoogleConfig/FileUpload): localize errors and simplify validation with zod * fix: cleanup google logging and fix user provided key handling * chore: remove titling from google * chore: removing logging from browser endpoint * wip: fix menu flicker * feat: useLocalStorage hook * feat: add Tooltip for UI * refactor(EndpointMenu): utilize Tooltip and useLocalStorage, remove old 'New Chat' slide-over * fix(e2e): use testId for endpoint menu trigger * chore: final touches to EndpointMenu before future refactor to declutter component * refactor(localization): change select endpoint to open menu and add translations * chore: add final prop to error message response * ci: minor edits to facilitate testing * ci: new e2e test which tests for new key setting/revoking features
This commit is contained in:
parent
64f1557852
commit
4ca43fb53d
122 changed files with 1933 additions and 966 deletions
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@ -1,5 +1,6 @@
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require('dotenv').config();
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const { KeyvFile } = require('keyv-file');
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const { getUserKey, checkUserKeyExpiry } = require('../server/services/UserService');
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const askBing = async ({
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text,
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@ -13,9 +14,21 @@ const askBing = async ({
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clientId,
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invocationId,
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toneStyle,
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token,
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key: expiresAt,
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onProgress,
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userId,
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}) => {
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const isUserProvided = process.env.BINGAI_TOKEN === 'user_provided';
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let key = null;
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if (expiresAt && isUserProvided) {
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checkUserKeyExpiry(
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expiresAt,
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'Your BingAI Cookies have expired. Please provide your cookies again.',
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);
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key = await getUserKey({ userId, name: 'bingAI' });
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}
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const { BingAIClient } = await import('@waylaidwanderer/chatgpt-api');
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const store = {
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store: new KeyvFile({ filename: './data/cache.json' }),
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@ -24,9 +37,9 @@ const askBing = async ({
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const bingAIClient = new BingAIClient({
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// "_U" cookie from bing.com
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// userToken:
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// process.env.BINGAI_TOKEN == 'user_provided' ? token : process.env.BINGAI_TOKEN ?? null,
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// isUserProvided ? key : process.env.BINGAI_TOKEN ?? null,
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// If the above doesn't work, provide all your cookies as a string instead
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cookies: process.env.BINGAI_TOKEN == 'user_provided' ? token : process.env.BINGAI_TOKEN ?? null,
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cookies: isUserProvided ? key : process.env.BINGAI_TOKEN ?? null,
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debug: false,
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cache: store,
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host: process.env.BINGAI_HOST || null,
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@ -1,17 +1,29 @@
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require('dotenv').config();
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const { KeyvFile } = require('keyv-file');
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const { getUserKey, checkUserKeyExpiry } = require('../server/services/UserService');
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const browserClient = async ({
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text,
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parentMessageId,
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conversationId,
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model,
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token,
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key: expiresAt,
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onProgress,
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onEventMessage,
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abortController,
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userId,
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}) => {
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const isUserProvided = process.env.CHATGPT_TOKEN === 'user_provided';
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let key = null;
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if (expiresAt && isUserProvided) {
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checkUserKeyExpiry(
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expiresAt,
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'Your ChatGPT Access Token has expired. Please provide your token again.',
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);
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key = await getUserKey({ userId, name: 'chatGPTBrowser' });
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}
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const { ChatGPTBrowserClient } = await import('@waylaidwanderer/chatgpt-api');
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const store = {
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store: new KeyvFile({ filename: './data/cache.json' }),
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@ -20,13 +32,12 @@ const browserClient = async ({
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const clientOptions = {
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// Warning: This will expose your access token to a third party. Consider the risks before using this.
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reverseProxyUrl:
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process.env.CHATGPT_REVERSE_PROXY || 'https://ai.fakeopen.com/api/conversation',
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process.env.CHATGPT_REVERSE_PROXY ?? 'https://ai.fakeopen.com/api/conversation',
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// Access token from https://chat.openai.com/api/auth/session
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accessToken:
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process.env.CHATGPT_TOKEN == 'user_provided' ? token : process.env.CHATGPT_TOKEN ?? null,
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accessToken: isUserProvided ? key : process.env.CHATGPT_TOKEN ?? null,
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model: model,
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debug: false,
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proxy: process.env.PROXY || null,
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proxy: process.env.PROXY ?? null,
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user: userId,
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};
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@ -37,8 +48,6 @@ const browserClient = async ({
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options = { ...options, parentMessageId, conversationId };
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}
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console.log('gptBrowser clientOptions', clientOptions);
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if (parentMessageId === '00000000-0000-0000-0000-000000000000') {
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delete options.conversationId;
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}
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@ -3,9 +3,9 @@ const TextStream = require('./TextStream');
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const { RecursiveCharacterTextSplitter } = require('langchain/text_splitter');
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const { ChatOpenAI } = require('langchain/chat_models/openai');
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const { loadSummarizationChain } = require('langchain/chains');
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const { refinePrompt } = require('./prompts/refinePrompt');
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const { getConvo, getMessages, saveMessage, updateMessage, saveConvo } = require('../../models');
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const { addSpaceIfNeeded } = require('../../server/utils');
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const { refinePrompt } = require('./prompts');
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class BaseClient {
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constructor(apiKey, options = {}) {
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@ -55,6 +55,7 @@ class BaseClient {
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const { isEdited, isContinued } = opts;
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const user = opts.user ?? null;
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this.user = user;
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const saveOptions = this.getSaveOptions();
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this.abortController = opts.abortController ?? new AbortController();
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const conversationId = opts.conversationId ?? crypto.randomUUID();
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@ -407,7 +408,6 @@ class BaseClient {
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const { generation = '' } = opts;
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this.user = user;
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// It's not necessary to push to currentMessages
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// depending on subclass implementation of handling messages
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// When this is an edit, all messages are already in currentMessages, both user and response
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@ -600,6 +600,14 @@ class BaseClient {
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// Sum the number of tokens in all properties and add `tokensPerMessage` for metadata
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return propertyTokenCounts.reduce((a, b) => a + b, tokensPerMessage);
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}
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async sendPayload(payload, opts = {}) {
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if (opts && typeof opts === 'object') {
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this.setOptions(opts);
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}
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return await this.sendCompletion(payload, opts);
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}
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}
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module.exports = BaseClient;
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@ -29,7 +29,8 @@ class GoogleClient extends BaseClient {
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jwtClient.authorize((err) => {
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if (err) {
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console.log(err);
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console.error('Error: jwtClient failed to authorize');
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console.error(err.message);
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throw err;
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}
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});
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@ -247,7 +248,8 @@ class GoogleClient extends BaseClient {
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console.debug(result);
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}
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} catch (err) {
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console.error(err);
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console.error('Error: failed to send completion to Google');
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console.error(err.message);
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}
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if (!blocked) {
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@ -5,6 +5,8 @@ const {
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get_encoding: getEncoding,
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} = require('@dqbd/tiktoken');
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const { maxTokensMap, genAzureChatCompletion } = require('../../utils');
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const { runTitleChain } = require('./chains');
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const { createLLM } = require('./llm');
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// Cache to store Tiktoken instances
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const tokenizersCache = {};
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@ -105,6 +107,7 @@ class OpenAIClient extends BaseClient {
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if (this.options.reverseProxyUrl) {
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this.completionsUrl = this.options.reverseProxyUrl;
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this.langchainProxy = this.options.reverseProxyUrl.match(/.*v1/)[0];
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} else if (isChatGptModel) {
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this.completionsUrl = 'https://api.openai.com/v1/chat/completions';
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} else {
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@ -116,7 +119,7 @@ class OpenAIClient extends BaseClient {
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}
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if (this.azureEndpoint && this.options.debug) {
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console.debug(`Using Azure endpoint: ${this.azureEndpoint}`, this.azure);
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console.debug('Using Azure endpoint');
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}
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return this;
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@ -315,6 +318,7 @@ class OpenAIClient extends BaseClient {
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let reply = '';
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let result = null;
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let streamResult = null;
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this.modelOptions.user = this.user;
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if (typeof opts.onProgress === 'function') {
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await this.getCompletion(
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payload,
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@ -373,6 +377,64 @@ class OpenAIClient extends BaseClient {
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content: response.text,
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});
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}
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async titleConvo({ text, responseText = '' }) {
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let title = 'New Chat';
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const convo = `||>User:
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"${text}"
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||>Response:
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"${JSON.stringify(responseText)}"`;
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const modelOptions = {
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model: 'gpt-3.5-turbo-0613',
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temperature: 0.2,
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presence_penalty: 0,
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frequency_penalty: 0,
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max_tokens: 16,
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};
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const configOptions = {};
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if (this.langchainProxy) {
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configOptions.basePath = this.langchainProxy;
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}
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try {
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const llm = createLLM({
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modelOptions,
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configOptions,
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openAIApiKey: this.apiKey,
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azure: this.azure,
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});
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title = await runTitleChain({ llm, text, convo });
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} catch (e) {
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console.error(e.message);
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console.log('There was an issue generating title with LangChain, trying the old method...');
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modelOptions.model = 'gpt-3.5-turbo';
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const instructionsPayload = [
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{
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role: 'system',
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content: `Detect user language and write in the same language an extremely concise title for this conversation, which you must accurately detect.
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Write in the detected language. Title in 5 Words or Less. No Punctuation or Quotation. Do not mention the language. All first letters of every word should be capitalized and write the title in User Language only.
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${convo}
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||>Title:`,
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},
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];
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try {
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title = (await this.sendPayload(instructionsPayload, { modelOptions })).replaceAll('"', '');
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} catch (e) {
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console.error(e);
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console.log('There was another issue generating the title, see error above.');
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}
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}
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console.log('CONVERSATION TITLE', title);
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return title;
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}
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}
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module.exports = OpenAIClient;
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@ -1,10 +1,11 @@
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const OpenAIClient = require('./OpenAIClient');
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const { CallbackManager } = require('langchain/callbacks');
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const { HumanChatMessage, AIChatMessage } = require('langchain/schema');
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const { initializeCustomAgent, initializeFunctionsAgent } = require('./agents/');
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const { addImages, createLLM, buildErrorInput, buildPromptPrefix } = require('./agents/methods/');
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const { SelfReflectionTool } = require('./tools/');
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const { initializeCustomAgent, initializeFunctionsAgent } = require('./agents');
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const { addImages, buildErrorInput, buildPromptPrefix } = require('./output_parsers');
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const { SelfReflectionTool } = require('./tools');
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const { loadTools } = require('./tools/util');
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const { createLLM } = require('./llm');
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class PluginsClient extends OpenAIClient {
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constructor(apiKey, options = {}) {
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@ -28,9 +29,9 @@ class PluginsClient extends OpenAIClient {
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super.setOptions(options);
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this.isGpt3 = this.modelOptions.model.startsWith('gpt-3');
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if (this.options.reverseProxyUrl) {
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this.langchainProxy = this.options.reverseProxyUrl.match(/.*v1/)[0];
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}
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// if (this.options.reverseProxyUrl) {
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// this.langchainProxy = this.options.reverseProxyUrl.match(/.*v1/)[0];
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// }
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}
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getSaveOptions() {
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5
api/app/clients/chains/index.js
Normal file
5
api/app/clients/chains/index.js
Normal file
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@ -0,0 +1,5 @@
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const runTitleChain = require('./runTitleChain');
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module.exports = {
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runTitleChain,
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};
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43
api/app/clients/chains/runTitleChain.js
Normal file
43
api/app/clients/chains/runTitleChain.js
Normal file
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@ -0,0 +1,43 @@
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const { z } = require('zod');
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const { langPrompt, createTitlePrompt } = require('../prompts');
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const { escapeBraces, getSnippet } = require('../output_parsers');
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const { createStructuredOutputChainFromZod } = require('langchain/chains/openai_functions');
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const langSchema = z.object({
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language: z.string().describe('The language of the input text (full noun, no abbreviations).'),
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});
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const createLanguageChain = ({ llm }) =>
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createStructuredOutputChainFromZod(langSchema, {
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prompt: langPrompt,
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llm,
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// verbose: true,
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});
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const titleSchema = z.object({
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title: z.string().describe('The title-cased title of the conversation in the given language.'),
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});
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const createTitleChain = ({ llm, convo }) => {
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const titlePrompt = createTitlePrompt({ convo });
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return createStructuredOutputChainFromZod(titleSchema, {
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prompt: titlePrompt,
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llm,
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// verbose: true,
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});
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};
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const runTitleChain = async ({ llm, text, convo }) => {
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let snippet = text;
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try {
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snippet = getSnippet(text);
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} catch (e) {
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console.log('Error getting snippet of text for titleChain');
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console.log(e);
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}
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const languageChain = createLanguageChain({ llm });
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const titleChain = createTitleChain({ llm, convo: escapeBraces(convo) });
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const { language } = await languageChain.run(snippet);
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return (await titleChain.run(language)).title;
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};
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module.exports = runTitleChain;
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5
api/app/clients/llm/index.js
Normal file
5
api/app/clients/llm/index.js
Normal file
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@ -0,0 +1,5 @@
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const createLLM = require('./createLLM');
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|
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module.exports = {
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createLLM,
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};
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38
api/app/clients/output_parsers/handleInputs.js
Normal file
38
api/app/clients/output_parsers/handleInputs.js
Normal file
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@ -0,0 +1,38 @@
|
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// Escaping curly braces is necessary for LangChain to correctly process the prompt
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function escapeBraces(str) {
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return str
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.replace(/({{2,})|(}{2,})/g, (match) => `${match[0]}`)
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.replace(/{|}/g, (match) => `${match}${match}`);
|
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}
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|
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function getSnippet(text) {
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let limit = 50;
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let splitText = escapeBraces(text).split(' ');
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|
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if (splitText.length === 1 && splitText[0].length > limit) {
|
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return splitText[0].substring(0, limit);
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}
|
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|
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let result = '';
|
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let spaceCount = 0;
|
||||
|
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for (let i = 0; i < splitText.length; i++) {
|
||||
if (result.length + splitText[i].length <= limit) {
|
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result += splitText[i] + ' ';
|
||||
spaceCount++;
|
||||
} else {
|
||||
break;
|
||||
}
|
||||
|
||||
if (spaceCount == 10) {
|
||||
break;
|
||||
}
|
||||
}
|
||||
|
||||
return result.trim();
|
||||
}
|
||||
|
||||
module.exports = {
|
||||
escapeBraces,
|
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getSnippet,
|
||||
};
|
||||
|
|
@ -1,8 +1,4 @@
|
|||
const {
|
||||
instructions,
|
||||
imageInstructions,
|
||||
errorInstructions,
|
||||
} = require('../../prompts/instructions');
|
||||
const { instructions, imageInstructions, errorInstructions } = require('../prompts');
|
||||
|
||||
function getActions(actions = [], functionsAgent = false) {
|
||||
let output = 'Internal thoughts & actions taken:\n"';
|
||||
|
|
@ -1,9 +1,9 @@
|
|||
const addImages = require('./addImages');
|
||||
const createLLM = require('./createLLM');
|
||||
const handleInputs = require('./handleInputs');
|
||||
const handleOutputs = require('./handleOutputs');
|
||||
|
||||
module.exports = {
|
||||
addImages,
|
||||
createLLM,
|
||||
...handleInputs,
|
||||
...handleOutputs,
|
||||
};
|
||||
9
api/app/clients/prompts/index.js
Normal file
9
api/app/clients/prompts/index.js
Normal file
|
|
@ -0,0 +1,9 @@
|
|||
const instructions = require('./instructions');
|
||||
const titlePrompts = require('./titlePrompts');
|
||||
const refinePrompts = require('./refinePrompts');
|
||||
|
||||
module.exports = {
|
||||
...refinePrompts,
|
||||
...instructions,
|
||||
...titlePrompts,
|
||||
};
|
||||
33
api/app/clients/prompts/titlePrompts.js
Normal file
33
api/app/clients/prompts/titlePrompts.js
Normal file
|
|
@ -0,0 +1,33 @@
|
|||
const {
|
||||
ChatPromptTemplate,
|
||||
SystemMessagePromptTemplate,
|
||||
HumanMessagePromptTemplate,
|
||||
} = require('langchain/prompts');
|
||||
|
||||
const langPrompt = new ChatPromptTemplate({
|
||||
promptMessages: [
|
||||
SystemMessagePromptTemplate.fromTemplate('Detect the language used in the following text.'),
|
||||
HumanMessagePromptTemplate.fromTemplate('{inputText}'),
|
||||
],
|
||||
inputVariables: ['inputText'],
|
||||
});
|
||||
|
||||
const createTitlePrompt = ({ convo }) => {
|
||||
const titlePrompt = new ChatPromptTemplate({
|
||||
promptMessages: [
|
||||
SystemMessagePromptTemplate.fromTemplate(
|
||||
`Write a concise title for this conversation in the given language. Title in 5 Words or Less. No Punctuation or Quotation. All first letters of every word must be capitalized (resembling title-case), written in the given Language.
|
||||
${convo}`,
|
||||
),
|
||||
HumanMessagePromptTemplate.fromTemplate('Language: {language}'),
|
||||
],
|
||||
inputVariables: ['language'],
|
||||
});
|
||||
|
||||
return titlePrompt;
|
||||
};
|
||||
|
||||
module.exports = {
|
||||
langPrompt,
|
||||
createTitlePrompt,
|
||||
};
|
||||
|
|
@ -1,13 +1,11 @@
|
|||
const { browserClient } = require('./chatgpt-browser');
|
||||
const { askBing } = require('./bingai');
|
||||
const clients = require('./clients');
|
||||
const titleConvo = require('./titleConvo');
|
||||
const titleConvoBing = require('./titleConvoBing');
|
||||
|
||||
module.exports = {
|
||||
browserClient,
|
||||
askBing,
|
||||
titleConvo,
|
||||
titleConvoBing,
|
||||
...clients,
|
||||
};
|
||||
|
|
|
|||
|
|
@ -1,57 +0,0 @@
|
|||
const throttle = require('lodash/throttle');
|
||||
const { genAzureChatCompletion, getAzureCredentials } = require('../utils/');
|
||||
|
||||
const titleConvo = async ({ text, response, openAIApiKey, azure = false }) => {
|
||||
let title = 'New Chat';
|
||||
const ChatGPTClient = (await import('@waylaidwanderer/chatgpt-api')).default;
|
||||
|
||||
try {
|
||||
const instructionsPayload = {
|
||||
role: 'system',
|
||||
content: `Detect user language and write in the same language an extremely concise title for this conversation, which you must accurately detect. Write in the detected language. Title in 5 Words or Less. No Punctuation or Quotation. All first letters of every word should be capitalized and complete only the title in User Language only.
|
||||
|
||||
||>User:
|
||||
"${text}"
|
||||
||>Response:
|
||||
"${JSON.stringify(response?.text)}"
|
||||
|
||||
||>Title:`,
|
||||
};
|
||||
|
||||
const options = {
|
||||
azure,
|
||||
reverseProxyUrl: process.env.OPENAI_REVERSE_PROXY || null,
|
||||
proxy: process.env.PROXY || null,
|
||||
};
|
||||
|
||||
const titleGenClientOptions = JSON.parse(JSON.stringify(options));
|
||||
|
||||
titleGenClientOptions.modelOptions = {
|
||||
model: 'gpt-3.5-turbo',
|
||||
temperature: 0,
|
||||
presence_penalty: 0,
|
||||
frequency_penalty: 0,
|
||||
};
|
||||
|
||||
let apiKey = openAIApiKey ?? process.env.OPENAI_API_KEY;
|
||||
|
||||
if (azure) {
|
||||
apiKey = process.env.AZURE_API_KEY;
|
||||
titleGenClientOptions.reverseProxyUrl = genAzureChatCompletion(getAzureCredentials());
|
||||
}
|
||||
|
||||
const titleGenClient = new ChatGPTClient(apiKey, titleGenClientOptions);
|
||||
const result = await titleGenClient.getCompletion([instructionsPayload], null);
|
||||
title = result.choices[0].message.content.replace(/\s+/g, ' ').replaceAll('"', '').trim();
|
||||
} catch (e) {
|
||||
console.error(e);
|
||||
console.log('There was an issue generating title, see error above');
|
||||
}
|
||||
|
||||
console.log('CONVERSATION TITLE', title);
|
||||
return title;
|
||||
};
|
||||
|
||||
const throttledTitleConvo = throttle(titleConvo, 1000);
|
||||
|
||||
module.exports = throttledTitleConvo;
|
||||
Loading…
Add table
Add a link
Reference in a new issue