fix(basic.gblib): FUNCTION GPT.
This commit is contained in:
Rodrigo Rodriguez
parent
26b05aa394
commit
49af4cfab7
7 changed files with 183 additions and 180 deletions
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@ -82,6 +82,7 @@
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"@google-cloud/translate": "7.0.4",
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"@hubspot/api-client": "7.1.2",
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"@koa/cors": "4.0.0",
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"@langchain/openai": "0.0.15",
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"@microsoft/microsoft-graph-client": "3.0.4",
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"@nlpjs/basic": "4.26.1",
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"@nosferatu500/textract": "3.1.2",
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@ -211,7 +212,8 @@
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"winston": "3.8.2",
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"winston-logs-display": "1.0.0",
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"ws": "8.12.1",
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"yarn": "1.22.19"
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"yarn": "1.22.19",
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"zod-to-json-schema": "^3.22.4"
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},
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"devDependencies": {
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"@types/qrcode": "1.5.0",
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@ -425,14 +425,15 @@ export class AzureDeployerService implements IGBInstallationDeployer {
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instance.storageDialect = 'mssql';
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instance.storageServer = `${storageServer}.database.windows.net`;
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GBLog.info(`Deploying Search...`);
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const searchName = `${name}-search`.toLowerCase();
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await this.createSearch(name, searchName, instance.cloudLocation);
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const searchKeys = await this.searchClient.adminKeys.get(name, searchName);
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instance.searchHost = `${searchName}.search.windows.net`;
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instance.searchIndex = 'azuresql-index';
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instance.searchIndexer = 'azuresql-indexer';
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instance.searchKey = searchKeys.primaryKey;
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// TODO: Enable in .env
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// GBLog.info(`Deploying Search...`);
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// const searchName = `${name}-search`.toLowerCase();
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// await this.createSearch(name, searchName, instance.cloudLocation);
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// const searchKeys = await this.searchClient.adminKeys.get(name, searchName);
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// instance.searchHost = `${searchName}.search.windows.net`;
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// instance.searchIndex = 'azuresql-index';
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// instance.searchIndexer = 'azuresql-indexer';
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// instance.searchKey = searchKeys.primaryKey;
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// GBLog.info(`Deploying Speech...`);
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// const speech = await this.createSpeech(name, `${name}speech`, instance.cloudLocation);
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@ -52,6 +52,8 @@ import { GBLogEx } from '../../core.gbapp/services/GBLogEx.js';
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import { GuaribasUser } from '../../security.gbapp/models/index.js';
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import { SystemKeywords } from './SystemKeywords.js';
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import { Sequelize, QueryTypes } from '@sequelize/core';
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import { z } from "zod";
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import { zodToJsonSchema } from "zod-to-json-schema";
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/**
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* @fileoverview Decision was to priorize security(isolation) and debugging,
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@ -415,7 +417,7 @@ export class GBVMService extends GBService {
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min.instance,
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'Synchronize Database',
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false
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);
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);
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if (sync && shouldSync) {
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@ -641,7 +643,7 @@ export class GBVMService extends GBService {
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try{
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await ensureTokens(true);
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${ code }
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${code}
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}
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catch(e){
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console.log(e);
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@ -723,42 +725,55 @@ export class GBVMService extends GBService {
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}
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public static getMetadata(mainName: string, propertiesText, description) {
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const properties = [];
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let properties;
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if (!propertiesText) {
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if (propertiesText) {
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const getType = asClause => {
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if (asClause.indexOf('AS STRING')) {
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return 'string';
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} else {
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return 'enum';
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}
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};
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for (let i = 0; i < propertiesText.length; i++) {
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const propertiesExp = propertiesText[i];
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const t = getType(propertiesExp[2]);
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let element = {};
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element['type'] = t;
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if (t === 'enum') {
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element['enum'] = propertiesExp[2];
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} else if (t === 'string') {
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element['description'] = propertiesExp[2];
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}
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properties.push(element);
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}
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return {}
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}
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let json = {
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name: `${mainName}`,
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description: description ? description[1] : '',
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parameters: {
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type: 'object',
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properties: properties ? properties : []
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const getType = asClause => {
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if (asClause.indexOf('AS STRING') !== -1) {
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return 'string';
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}
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else if (asClause.indexOf('AS OBJECT') !== -1) {
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return 'object';
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}
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else if (asClause.indexOf('AS INTEGER') !== -1 || asClause.indexOf('AS NUMBER') !== -1) {
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return 'number';
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} else {
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return 'enum';
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}
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};
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for (let i = 0; i < propertiesText.length; i++) {
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const propertiesExp = propertiesText[i];
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const t = getType(propertiesExp[2]);
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let element;
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if (t === 'enum') {
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element = z.enum(propertiesExp[2].split(','));
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} else if (t === 'string') {
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element = z.string();
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} else if (t === 'object') {
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element = z.quotelessJson({});
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} else if (t === 'number') {
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element = z.number();
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}
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element.describe(propertiesExp[3]);
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element['type'] = t;
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properties[propertiesExp[1]] = element;
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}
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let json = {
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type: "function",
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function: {
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name: `${mainName}`,
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description: description ? description[1] : '',
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parameters: zodToJsonSchema(z.object(properties))
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}
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}
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return json;
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}
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@ -766,15 +781,15 @@ export class GBVMService extends GBService {
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let required = line.indexOf('*') !== -1;
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let unique = /\bunique\b/gi.test(line);
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let primaryKey = /\bkey\b/gi.test(line);
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let autoIncrement = /\bauto\b/gi.test(line);
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let primaryKey = /\bkey\b/gi.test(line);
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let autoIncrement = /\bauto\b/gi.test(line);
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if (primaryKey){
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if (primaryKey) {
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autoIncrement = true;
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unique = true;
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required = true;
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}
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line = line.replace('*', '');
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const fieldRegExp = /^\s*(\w+)\s*(\w+)(?:\((.*)\))?/gim;
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@ -783,9 +798,11 @@ export class GBVMService extends GBService {
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const name = reg[1];
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const t = reg[2];
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let definition = { allowNull: !required,
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unique: unique, primaryKey: primaryKey,
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autoIncrement: autoIncrement };
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let definition = {
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allowNull: !required,
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unique: unique, primaryKey: primaryKey,
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autoIncrement: autoIncrement
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};
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definition['type'] = t;
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if (reg[3]) {
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@ -829,7 +846,7 @@ export class GBVMService extends GBService {
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line = line.replace(/^\s*\d+\s*/gi, '');
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if (!table && !talk){
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if (!table && !talk) {
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for (let j = 0; j < keywords.length; j++) {
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line = line.replace(keywords[j][0], keywords[j][1]); // TODO: Investigate delay here.
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}
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@ -838,7 +855,7 @@ export class GBVMService extends GBService {
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// Pre-process "off-line" static KEYWORDS.
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let emmit = true;
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const params = /^\s*PARAM\s*(.*)\s*AS\s*(.*)/gim;
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const params = /^\s*PARAM\s*(.*)\s*AS\s*(.*)\s*LIKE\s*(.*)/gim;
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const param = params.exec(line);
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if (param) {
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properties.push(param);
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@ -856,7 +873,7 @@ export class GBVMService extends GBService {
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let endTalkReg = endTalkKeyword.exec(line);
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if (endTalkReg && talk) {
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line = talk + '`})';
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talk = null;
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emmit = true;
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}
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@ -912,8 +929,8 @@ export class GBVMService extends GBService {
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let add = emmit ? line.split(/\r\n|\r|\n/).length : 0;
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current = current + (add ? add : 0);
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if (emmit){
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emmitIndex ++;
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if (emmit) {
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emmitIndex++;
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map[emmitIndex] = current;
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outputLines[emmitIndex - 1] = line;
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}
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@ -1000,15 +1017,15 @@ export class GBVMService extends GBService {
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let code = min.sandBoxMap[text];
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const channel = step ? step.context.activity.channelId : 'web';
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const dk = new DialogKeywords();
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const sys = new SystemKeywords();
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await dk.setFilter({ pid: pid, value: null });
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// Find all tokens in .gbot Config.
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const strFind = ' Client ID';
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const tokens = await min.core['findParam'](min.instance, strFind);
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let tokensList = [];
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@ -1011,6 +1011,13 @@ export class GBMinService {
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});
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}
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}
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let pid = step.context.activity['pid'];
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if (!pid){
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pid = GBVMService.createProcessInfo(user, min, step.context.activity.channelId, null);
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}
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step.context.activity['pid'] = pid;
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// Required for MSTEAMS handling of persisted conversations.
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if (step.context.activity.channelId === 'msteams') {
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@ -1065,12 +1072,7 @@ export class GBMinService {
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const startDialog = min.core.getParam(min.instance, 'Start Dialog', null);
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let pid = step.context.activity['pid'];
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if (!pid){
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pid = GBVMService.createProcessInfo(user, min, step.context.activity.channelId, null);
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}
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step.context.activity['pid'] = pid;
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if (context.activity.type === 'installationUpdate') {
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GBLog.info(`Bot installed on Teams.`);
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} else if (context.activity.type === 'conversationUpdate' && context.activity.membersAdded.length > 0) {
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@ -1151,6 +1153,7 @@ export class GBMinService {
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* Called to handle all event sent by .gbui clients.
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*/
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private async processEventActivity(min, user, context, step: GBDialogStep) {
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const pid = step.context.activity['pid'];
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if (context.activity.name === 'whoAmI') {
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await step.beginDialog('/whoAmI');
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} else if (context.activity.name === 'showSubjects') {
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@ -31,11 +31,9 @@
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'use strict';
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import { GBMinInstance } from 'botlib';
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import OpenAI from "openai";
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import { OpenAIChat } from 'langchain/llms/openai';
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import { CallbackManager } from 'langchain/callbacks';
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import { ChatPromptTemplate, HumanMessagePromptTemplate, SystemMessagePromptTemplate } from 'langchain/prompts';
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import { LLMChain } from 'langchain/chains';
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import { ConversationChain, LLMChain } from 'langchain/chains';
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import { BufferWindowMemory } from 'langchain/memory';
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import { CollectionUtil } from 'pragmatismo-io-framework';
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import { DialogKeywords } from '../../basic.gblib/services/DialogKeywords.js';
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@ -44,6 +42,10 @@ import * as Fs from 'fs';
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import { HNSWLib } from 'langchain/vectorstores/hnswlib';
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import { GuaribasSubject } from '../../kb.gbapp/models/index.js';
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import { GBConfigService } from '../../core.gbapp/services/GBConfigService.js';
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import { ChatOpenAI } from "@langchain/openai";
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import { JsonOutputFunctionsParser } from 'langchain/dist/output_parsers/openai_functions.js';
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import { GBVMService } from '../../basic.gblib/services/GBVMService.js';
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export class ChatServices {
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@ -60,19 +62,39 @@ export class ChatServices {
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.replaceAll('\n', ' ');
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}
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/**
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* Generate text
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*
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* CONTINUE keword.
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*
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* result = CONTINUE text
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*
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*/
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public static async continue(min: GBMinInstance, text: string, chatId) {
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public static async sendMessage(min: GBMinInstance, text: string) {
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let key;
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if (process.env.OPENAI_KEY) {
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key = process.env.OPENAI_KEY;
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}
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else {
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key = min.core.getParam(min.instance, 'Open AI Key', null);
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}
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public static async answerByGPT(min: GBMinInstance, pid,
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query: string,
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searchScore: number,
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subjects: GuaribasSubject[]
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) {
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if (!process.env.OPENAI_KEY) {
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return { answer: undefined, questionId: 0 };
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}
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if (!key) {
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throw new Error('Open AI Key not configured in .gbot.');
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}
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const systemPrompt = SystemMessagePromptTemplate.fromTemplate(
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`You are $${min.botId}`);
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const contentLocale = min.core.getParam(
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min.instance,
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'Default Content Language',
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GBConfigService.get('DEFAULT_CONTENT_LANGUAGE')
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);
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let functions = [];
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// Adds .gbdialog as functions if any to GPT Functions.
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@ -88,82 +110,17 @@ export class ChatServices {
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});
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// Calls Model.
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const openai = new OpenAI({
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apiKey: key
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});
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const chatCompletion = await openai.chat.completions.create({
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model: "gpt-3.5-turbo",
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messages: [{ role: "user", content: text }],
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functions: functions
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});
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return chatCompletion.choices[0].message.content;
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}
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let SystemPromptTailored = ''; // TODO: Load from user context.
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// Generates function definition for each function
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// in plain text to be used in system prompt.
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let functionDef = Object.keys(functions)
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.map((toolname) => `${toolname}: ${functions[toolname].description}`)
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.join("\n");
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/**
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* Generate text
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*
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* CONTINUE keword.
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*
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* result = CONTINUE text
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*
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*/
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public static async continue(min: GBMinInstance, text: string, chatId) {
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let key;
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if (process.env.OPENAI_KEY) {
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key = process.env.OPENAI_KEY;
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}
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else {
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key = min.core.getParam(min.instance, 'Open AI Key', null);
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}
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if (!key) {
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throw new Error('Open AI Key not configured in .gbot.');
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}
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// const openai = new OpenAI({
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// apiKey: key
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// });
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// const chatCompletion = await openai.chat.completions.create({
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// model: "gpt-3.5-turbo",
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// messages: [{ role: "user", content: text }]
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// });
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// return chatCompletion.choices[0].message.content;
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}
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public static async answerByGPT(min: GBMinInstance,
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query: string,
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searchScore: number,
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subjects: GuaribasSubject[]
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) {
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if (!process.env.OPENAI_KEY) {
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return { answer: undefined, questionId: 0 };
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}
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const contextVectorStore = min['vectorStore'];
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const question = query.trim().replaceAll('\n', ' ');
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const context = await this.getRelevantContext(contextVectorStore, question, 1);
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const systemPrompt = SystemMessagePromptTemplate.fromTemplate(
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`You are $${min.botId}`);
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const contentLocale = min.core.getParam(
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min.instance,
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'Default Content Language',
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GBConfigService.get('DEFAULT_CONTENT_LANGUAGE')
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);
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const tools = ""// TODO: add func list.
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const chatPrompt = ChatPromptTemplate.fromPromptMessages([
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systemPrompt,
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HumanMessagePromptTemplate.fromTemplate(`Answer in ${contentLocale}.
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let promptTemplate = `Answer in ${contentLocale}.
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You have access to the context (RELEVANTDOCS) provided by the user.
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When answering think about whether the question in RELEVANTDOCS, but never mention
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@ -174,16 +131,18 @@ export class ChatServices {
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QUESTION: """{input}"""
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${SystemPromptTailored}
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You have the following tools that you can invoke based on the user inquiry.
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Tools:
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${tools}
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`),
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]);
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${functionDef}
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`;
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const chatPrompt = ChatPromptTemplate.fromPromptMessages([
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systemPrompt,
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HumanMessagePromptTemplate.fromTemplate(promptTemplate),]);
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const windowMemory = new BufferWindowMemory({
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returnMessages: false,
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@ -192,36 +151,53 @@ export class ChatServices {
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k: 2,
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});
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const callbackManager = CallbackManager.fromHandlers({
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// This function is called when the LLM generates a new token (i.e., a prediction for the next word)
|
||||
async handleLLMNewToken(token: string) {
|
||||
|
||||
},
|
||||
const llm = new ChatOpenAI({
|
||||
modelName: "gpt-3.5-turbo-0125",
|
||||
temperature: 0,
|
||||
});
|
||||
|
||||
const llm = new OpenAIChat({
|
||||
streaming: true,
|
||||
callbackManager,
|
||||
modelName: 'gpt-3.5-turbo',
|
||||
|
||||
const llmWithTools = llm.bind({
|
||||
tools: functions
|
||||
});
|
||||
|
||||
|
||||
const chain = new LLMChain({
|
||||
prompt: chatPrompt,
|
||||
memory: windowMemory,
|
||||
llm,
|
||||
prompt: chatPrompt,
|
||||
llm: llmWithTools as any,
|
||||
});
|
||||
|
||||
const response = await chain.call({
|
||||
input: question,
|
||||
context,
|
||||
history: '',
|
||||
immediate_history: '',
|
||||
});
|
||||
if (response) {
|
||||
const contextVectorStore = min['vectorStore'];
|
||||
const question = query.trim().replaceAll('\n', ' ');
|
||||
const context = await this.getRelevantContext(contextVectorStore, question, 1);
|
||||
|
||||
return { answer: response.text, questionId: 0 };
|
||||
let prompt;
|
||||
|
||||
// allow the LLM to iterate until it finds a final answer
|
||||
while (true) {
|
||||
const response = await chain.call({
|
||||
input: question,
|
||||
context,
|
||||
history: '',
|
||||
immediate_history: '',
|
||||
});
|
||||
|
||||
// add this to the prompt
|
||||
prompt += response;
|
||||
|
||||
const action = response.match(/Action: (.*)/)?.[1];
|
||||
if (action) {
|
||||
// execute the action specified by the LLMs
|
||||
const actionInput = response.match(/Action Input: "?(.*)"?/)?.[1];
|
||||
const text = '';
|
||||
|
||||
const result = await GBVMService.callVM(actionInput, min, false, pid,false, [text]);
|
||||
|
||||
|
||||
prompt += `Observation: ${result}\n`;
|
||||
} else {
|
||||
return response.match(/Final Answer: (.*)/)?.[1];
|
||||
}
|
||||
}
|
||||
|
||||
return { answer: undefined, questionId: 0 };
|
||||
}
|
||||
|
||||
|
|
|
|||
|
|
@ -199,7 +199,8 @@ export class AskDialog extends IGBDialog {
|
|||
if (!text && step.context.activity.channelId === 'msteams') {
|
||||
const startDialog = min.core.getParam(min.instance, 'Start Dialog', null);
|
||||
if (startDialog) {
|
||||
await GBVMService.callVM(startDialog.toLowerCase().trim(), min, step, user, this.deployer, false);
|
||||
const pid = step.context.activity['pid'];
|
||||
await GBVMService.callVM(startDialog.toLowerCase().trim(), min, step, pid);
|
||||
}
|
||||
|
||||
return await step.endDialog();
|
||||
|
|
@ -229,7 +230,7 @@ export class AskDialog extends IGBDialog {
|
|||
|
||||
// TODO: https://github.com/GeneralBots/BotServer/issues/9 user.lastQuestion = text;
|
||||
|
||||
const resultsA = await service.ask(min, text, searchScore, null /* user.subjects */);
|
||||
const resultsA = await service.ask(min,step.context.activity['pid'], text, searchScore, null /* user.subjects */);
|
||||
|
||||
// If there is some result, answer immediately.
|
||||
|
||||
|
|
@ -343,7 +344,8 @@ export class AskDialog extends IGBDialog {
|
|||
if (text.endsWith('.docx')) {
|
||||
const mainName = GBVMService.getMethodNameFromVBSFilename(text);
|
||||
await step.endDialog();
|
||||
return await GBVMService.callVM(mainName, min, step, user, this.deployer, false);
|
||||
const pid = step.context.activity['pid'];
|
||||
return await GBVMService.callVM(mainName, min, step, pid);
|
||||
} else if (text.startsWith('/')) {
|
||||
return await step.replaceDialog(text, { answer: answer });
|
||||
} else {
|
||||
|
|
@ -445,8 +447,9 @@ export class AskDialog extends IGBDialog {
|
|||
);
|
||||
|
||||
await step.endDialog();
|
||||
const pid = step.context.activity['pid'];
|
||||
|
||||
await GBVMService.callVM(dialogName.toLowerCase(), min, step, user, this.deployer, false);
|
||||
await GBVMService.callVM(dialogName.toLowerCase(), min, step, pid);
|
||||
}
|
||||
}
|
||||
];
|
||||
|
|
|
|||
|
|
@ -269,6 +269,7 @@ export class KBService implements IGBKBService {
|
|||
|
||||
public async ask(
|
||||
min: GBMinInstance,
|
||||
pid,
|
||||
query: string,
|
||||
searchScore: number,
|
||||
subjects: GuaribasSubject[]
|
||||
|
|
@ -375,7 +376,7 @@ export class KBService implements IGBKBService {
|
|||
returnedScore: ${returnedScore} < required (searchScore): ${searchScore}`
|
||||
);
|
||||
|
||||
return await ChatServices.answerByGPT(min,
|
||||
return await ChatServices.answerByGPT(min,pid,
|
||||
query,
|
||||
searchScore,
|
||||
subjects
|
||||
|
|
|
|||
Loading…
Add table
Reference in a new issue