auto-gpt-ts
Version:
my take of Auto-GPT in typescript
122 lines • 5.45 kB
JavaScript
;
var __decorate = (this && this.__decorate) || function (decorators, target, key, desc) {
var c = arguments.length, r = c < 3 ? target : desc === null ? desc = Object.getOwnPropertyDescriptor(target, key) : desc, d;
if (typeof Reflect === "object" && typeof Reflect.decorate === "function") r = Reflect.decorate(decorators, target, key, desc);
else for (var i = decorators.length - 1; i >= 0; i--) if (d = decorators[i]) r = (c < 3 ? d(r) : c > 3 ? d(target, key, r) : d(target, key)) || r;
return c > 3 && r && Object.defineProperty(target, key, r), r;
};
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());
});
};
Object.defineProperty(exports, "__esModule", { value: true });
exports.ApiManager = void 0;
const logging_1 = require("../logging");
const config_1 = require("../config/config");
const singelton_1 = require("../singelton");
const models_info_1 = require("./models-info");
const openai_1 = require("openai");
const configuration = new openai_1.Configuration({
apiKey: new config_1.Config().openaiApiKey
});
const openai = new openai_1.OpenAIApi(configuration);
let ApiManager = class ApiManager extends logging_1.Loggable {
constructor() {
super(...arguments);
this.totalTost = 0;
this.totalBudget = 0;
this.totalCompletionTokens = 0;
this.totalPromptTokens = 0;
}
reset() {
this.totalPromptTokens = 0;
this.totalCompletionTokens = 0;
this.totalTost = 0;
this.totalBudget = 0.0;
}
/**
* Create a chat completion and update the cost.
* @param {Array<Message>} messages - The list of messages to send to the API.
* @param {string} - The model to use for the API call.
* @param {number} - The temperature to use for the API call.
* @param {number} - The maximum number of tokens for the API call.
* @returns {Promise<Object>} - The AI's response.
*/
createChatCompletion(options) {
var _a, _b, _c, _d;
return __awaiter(this, void 0, void 0, function* () {
let { messages, max_tokens, model, temperature } = options;
const cfg = new config_1.Config();
if (!temperature) {
temperature = cfg.temperature;
}
this.logger.debug(`Creating chat completion with model ${model}, temperature ${temperature}, max_tokens ${max_tokens}`);
const response = (yield openai.createChatCompletion({
model: model,
messages: messages,
temperature: temperature,
max_tokens: max_tokens,
})).data;
const prompt_tokens = (_b = (_a = response.usage) === null || _a === void 0 ? void 0 : _a.prompt_tokens) !== null && _b !== void 0 ? _b : 0;
const completion_tokens = (_d = (_c = response.usage) === null || _c === void 0 ? void 0 : _c.completion_tokens) !== null && _d !== void 0 ? _d : 0;
this.updateCost(prompt_tokens, completion_tokens, model);
return response;
});
}
/**
* Update the total cost, prompt tokens, and completion tokens.
* @param {number} promptTokens - The number of tokens used in the prompt.
* @param {number} completionTokens - The number of tokens used in the completion.
* @param {string} model - The model used for the API call.
*/
updateCost(promptTokens, completionTokens, model) {
this.totalPromptTokens += promptTokens;
this.totalCompletionTokens += completionTokens;
this.totalTost +=
(promptTokens * models_info_1.COSTS[model]["prompt"] +
completionTokens * models_info_1.COSTS[model]["completion"]) /
1000;
this.logger.debug(`Total running cost: $${this.totalTost.toFixed(3)}`);
}
/**
* Sets the total user-defined budget for API calls.
* @param {number} total_budget - The total budget for API calls.
*/
setTotalBudget(total_budget) {
this.totalBudget = total_budget;
}
/**
* Get the total number of prompt tokens.
* @returns {number} - The total number of prompt tokens.
*/
getTotalPromptTokens() {
return this.totalPromptTokens;
}
/**
* Get the total number of completion tokens.
* @returns {number} - The total number of completion tokens.
*/
getTotalCompletionTokens() {
return this.totalCompletionTokens;
}
/**
* Get the total cost of API calls.
* @returns {number} - The total cost of API calls.
*/
getTotalCost() {
return this.totalTost;
}
getTotalBudget() {
return this.totalBudget;
}
};
ApiManager = __decorate([
singelton_1.Singleton
], ApiManager);
exports.ApiManager = ApiManager;
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