| 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 | 1× 1× 1× 1× 1× 1× 1× 1× 1× 1× 1× 1× 1× 1× 4× 4× 1× 7× 7× 7× 7× 1× 7× 7× 4× 7× 7× 1× 1× 1× 1× 1× 1× 1× 1× 1× 1× 1× 1× 1× 2× 2× 1× 2× 1× 2× 1× 1× 6× 12× 6× 6× 6× 1× 1× 1× | "use strict"; var __assign = (this && this.__assign) || function () { __assign = Object.assign || function(t) { for (var s, i = 1, n = arguments.length; i < n; i++) { s = arguments[i]; for (var p in s) if (Object.prototype.hasOwnProperty.call(s, p)) t[p] = s[p]; } return t; }; return __assign.apply(this, arguments); }; var __awaiter = (this && this.__awaiter) || function (thisArg, _arguments, P, generator) { function adopt(value) { return value instanceof P ? value : new P(function (resolve) { resolve(value); }); } return new (P || (P = Promise))(function (resolve, reject) { function fulfilled(value) { try { step(generator.next(value)); } catch (e) { reject(e); } } function rejected(value) { try { step(generator["throw"](value)); } catch (e) { reject(e); } } function step(result) { result.done ? resolve(result.value) : adopt(result.value).then(fulfilled, rejected); } step((generator = generator.apply(thisArg, _arguments || [])).next()); }); }; var __generator = (this && this.__generator) || function (thisArg, body) { var _ = { label: 0, sent: function() { if (t[0] & 1) throw t[1]; return t[1]; }, trys: [], ops: [] }, f, y, t, g; return g = { next: verb(0), "throw": verb(1), "return": verb(2) }, typeof Symbol === "function" && (g[Symbol.iterator] = function() { return this; }), g; function verb(n) { return function (v) { return step([n, v]); }; } function step(op) { if (f) throw new TypeError("Generator is already executing."); while (_) try { if (f = 1, y && (t = op[0] & 2 ? y["return"] : op[0] ? y["throw"] || ((t = y["return"]) && t.call(y), 0) : y.next) && !(t = t.call(y, op[1])).done) return t; if (y = 0, t) op = [op[0] & 2, t.value]; switch (op[0]) { case 0: case 1: t = op; break; case 4: _.label++; return { value: op[1], done: false }; case 5: _.label++; y = op[1]; op = [0]; continue; case 7: op = _.ops.pop(); _.trys.pop(); continue; default: if (!(t = _.trys, t = t.length > 0 && t[t.length - 1]) && (op[0] === 6 || op[0] === 2)) { _ = 0; continue; } if (op[0] === 3 && (!t || (op[1] > t[0] && op[1] < t[3]))) { _.label = op[1]; break; } if (op[0] === 6 && _.label < t[1]) { _.label = t[1]; t = op; break; } if (t && _.label < t[2]) { _.label = t[2]; _.ops.push(op); break; } if (t[2]) _.ops.pop(); _.trys.pop(); continue; } op = body.call(thisArg, _); } catch (e) { op = [6, e]; y = 0; } finally { f = t = 0; } if (op[0] & 5) throw op[1]; return { value: op[0] ? op[1] : void 0, done: true }; } }; Object.defineProperty(exports, "__esModule", { value: true }); exports.gpt3Endpoint = exports.GPT3Rocket = void 0; var axios_1 = require("axios"); /** * ## Opts: Samples & prefix * Samples & a prefix string will prime your agent * * ### opts.samples (optional) * * *array of Samples* * * ```ts * const samples = [['marco', 'polo'], ['marrrrrccccoo', 'pollllooo'] * ``` * ### opts.prefix (optional) * String to prepend to top of message as "primer" * * *string* * *```ts * const prefix = 'The following is an exchange between the user and an intelligent agent. The agent is friendly, prompt, and wants to help the * ``` * ## Transformer (optional) * An optional transformer function to control how the prefix & samples are structured when sent to API * * Receives samples, prefix, inputString, outputString * Without a custom function, a template will look like the following * * ``` * Prefix phrase ____ * input: aaa * output: bbb * input: ${user_prompt_goes_here} *``` * * * ```ts * const transformer = ({samples, prefix, inputString, outputString} => { * const decoratedSamples = samples.map((example, idx) => { * if (!(idx % 2)) { * return `${inputString}:${example}`; * } else { * return `${outputString}:${example}`; * } * }); * * return `\n${prefix}\n${decoratedSamples.join("\n")}`; * * }) * * ``` * * ## APIConfig * ``` * engine:string; // The engine ID, defaults to davinci (ada, babbage, curie, davinci) * prompt?:string; //One or more prompts to generate from. Can be a string, list of strings, a list of integers (i.e. a single prompt encoded as tokens), or list of lists of integers (i.e. many prompts encoded as integers). * max_tokens?:number; //How many tokens to complete to. Can return fewer if a stop sequence is hit. * temperature?:number; //What sampling temperature to use. Higher values means the model will take more risks. Try 0.9 for more creative applications, and 0 (argmax sampling) for ones with a well-defined answer. We generally recommend using this or top_p but not both. * top_p?:number; //An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered. We generally recommend using this or temperature but not both. * n?:number; //How many choices to create for each prompt. * stream?:boolean; //Whether to stream back partial progress. If set, tokens will be sent as data-only server-sent events as they become available, with the stream terminated by a data: [DONE] message. * logprobs?:integer; //Include the log probabilities on the logprobs most likely tokens. So for example, if logprobs is 10, the API will return a list of the 10 most likely tokens. If logprobs is supplied, the API will always return the logprob of the sampled token, so there may be up to logprobs+1 elements in the response. * stop?:string; //One or more sequences where the API will stop generating further tokens. The returned text will not contain the stop sequence. * * ``` */ var GPT3Rocket = /** @class */ (function () { function GPT3Rocket(configRef) { var defaults = { samples: [], prefix: "", transform: this._transformer, inputString: "input", outputString: "output", credential: "______________________-", APIConfig: { endpoint: "https://api.openai.com/v1/engines/davinci/completions", full_response: false, }, APIFlags: { engine: "davinci", }, }; this.config = Object.assign(defaults, configRef); } GPT3Rocket.prototype.buildQuery = function (prompt, samples, prefix) { if (samples === void 0) { samples = []; } if (prefix === void 0) { prefix = ""; } var prefixRef = this.config.prefix || ""; if (!prefixRef && prefix) { prefixRef = prefix; } var sampleRef = this.config.samples || []; if (!sampleRef.length && samples) { sampleRef = samples; } Eif (typeof this.config.transform === "function") { return this.config.transform(prompt, sampleRef, prefixRef, this.config.inputString, this.config.outputString); } else { return this._transformer(prompt, sampleRef, prefixRef, this.config.inputString, this.config.outputString); } }; GPT3Rocket.prototype.ask = function (prompt, samples, prefix, APIFlags, APIConfig) { if (samples === void 0) { samples = []; } if (APIFlags === void 0) { APIFlags = {}; } if (APIConfig === void 0) { APIConfig = {}; } return __awaiter(this, void 0, void 0, function () { var query, mergedAPIConfig, mergedAPIFlags, endpoint, result, full_response, res; return __generator(this, function (_a) { switch (_a.label) { case 0: query = this.buildQuery(prompt, samples, prefix); mergedAPIConfig = Object.assign(this.config.APIConfig, APIConfig); mergedAPIFlags = Object.assign(this.config.APIFlags, APIFlags); endpoint = mergedAPIConfig.endpoint; return [4 /*yield*/, axios_1.default.post(endpoint, __assign({ prompt: query }, mergedAPIFlags), { headers: { "Content-Type": "application/json", Authorization: "Bearer " + this.config.credential, }, })]; case 1: result = _a.sent(); full_response = mergedAPIConfig.full_response; if (full_response) { return [2 /*return*/, result.data]; } else { res = result.data.choices[0].text || ""; return [2 /*return*/, res]; } return [2 /*return*/]; } }); }); }; GPT3Rocket.prototype.add = function (sample) { var _a, _b; Iif (sample.length > 2 || sample.length < 2 || !Array.isArray(sample)) { throw new Error("Sample should be exactly one input & one output"); } (_b = (_a = this === null || this === void 0 ? void 0 : this.config) === null || _a === void 0 ? void 0 : _a.samples) === null || _b === void 0 ? void 0 : _b.push(sample); }; GPT3Rocket.prototype.addPrefix = function (prefix) { this.config.prefix = prefix; }; GPT3Rocket.prototype.changeTransformer = function (transformerFunction) { Eif (typeof transformerFunction === "function") { this.config.transform = transformerFunction; } }; GPT3Rocket.prototype.resetTransformer = function () { this.config.transform = this._transformer; }; GPT3Rocket.prototype.clear = function () { this.clearSamples(); this.clearPrefix(); }; GPT3Rocket.prototype.clearSamples = function () { this.config.samples = []; }; GPT3Rocket.prototype.clearPrefix = function () { this.config.prefix = ""; }; GPT3Rocket.prototype.updateCredential = function (credential) { this.config.credential = credential; }; GPT3Rocket.prototype._transformer = function (prompt, samples, prefix, inputString, outputString) { //@ts-ignore var decoratedSamples = [].concat.apply([], samples).map(function (example, idx) { if (!(idx % 2)) { return inputString + ":" + example; } else { return outputString + ":" + example; } }); return prefix + "\n" + decoratedSamples.join("\n") + "\n" + inputString + ":" + prompt + "\n"; }; return GPT3Rocket; }()); exports.GPT3Rocket = GPT3Rocket; /** * ENDPOINT * */ exports.gpt3Endpoint = function (config) { var inst = new GPT3Rocket(config); // TODO: req/res types, body-parser/no body-parser return function (req, res, next) { return __awaiter(void 0, void 0, void 0, function () { var _a, _b, samples, _c, prefix, _d, APIConfig, _e, APIFlags, prompt, _f, _g; return __generator(this, function (_h) { switch (_h.label) { case 0: _a = req.body, _b = _a.samples, samples = _b === void 0 ? [] : _b, _c = _a.prefix, prefix = _c === void 0 ? "" : _c, _d = _a.APIConfig, APIConfig = _d === void 0 ? {} : _d, _e = _a.APIFlags, APIFlags = _e === void 0 ? {} : _e, prompt = _a.prompt; _g = (_f = res .status(200)).send; return [4 /*yield*/, inst.ask(prompt, samples, prefix, APIFlags, APIConfig)]; case 1: return [2 /*return*/, _g.apply(_f, [_h.sent()])]; } }); }); }; }; //# sourceMappingURL=index.js.map |