531 lines
19 KiB
JavaScript
531 lines
19 KiB
JavaScript
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"use strict";
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Object.defineProperty(exports, "__esModule", { value: true });
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exports.ChatBaiduWenxin = void 0;
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const chat_models_1 = require("@langchain/core/language_models/chat_models");
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const messages_1 = require("@langchain/core/messages");
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const outputs_1 = require("@langchain/core/outputs");
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const env_1 = require("@langchain/core/utils/env");
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const event_source_parse_js_1 = require("../utils/event_source_parse.cjs");
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/**
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* Function that extracts the custom role of a generic chat message.
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* @param message Chat message from which to extract the custom role.
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* @returns The custom role of the chat message.
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*/
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function extractGenericMessageCustomRole(message) {
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if (message.role !== "assistant" && message.role !== "user") {
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console.warn(`Unknown message role: ${message.role}`);
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}
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return message.role;
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}
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/**
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* Function that converts a base message to a Wenxin message role.
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* @param message Base message to convert.
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* @returns The Wenxin message role.
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*/
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function messageToWenxinRole(message) {
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const type = message._getType();
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switch (type) {
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case "ai":
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return "assistant";
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case "human":
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return "user";
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case "system":
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throw new Error("System messages should not be here");
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case "function":
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throw new Error("Function messages not supported");
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case "generic": {
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if (!messages_1.ChatMessage.isInstance(message))
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throw new Error("Invalid generic chat message");
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return extractGenericMessageCustomRole(message);
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}
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default:
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throw new Error(`Unknown message type: ${type}`);
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}
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}
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/**
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* @deprecated Install and import from @langchain/baidu-qianfan instead.
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* Wrapper around Baidu ERNIE large language models that use the Chat endpoint.
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*
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* To use you should have the `BAIDU_API_KEY` and `BAIDU_SECRET_KEY`
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* environment variable set.
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*
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* @augments BaseLLM
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* @augments BaiduERNIEInput
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* @example
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* ```typescript
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* const ernieTurbo = new ChatBaiduWenxin({
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* apiKey: "YOUR-API-KEY",
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* baiduSecretKey: "YOUR-SECRET-KEY",
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* });
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*
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* const ernie = new ChatBaiduWenxin({
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* model: "ERNIE-Bot",
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* temperature: 1,
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* apiKey: "YOUR-API-KEY",
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* baiduSecretKey: "YOUR-SECRET-KEY",
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* });
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*
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* const messages = [new HumanMessage("Hello")];
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*
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* let res = await ernieTurbo.call(messages);
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*
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* res = await ernie.call(messages);
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* ```
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*/
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class ChatBaiduWenxin extends chat_models_1.BaseChatModel {
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static lc_name() {
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return "ChatBaiduWenxin";
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}
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get callKeys() {
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return ["stop", "signal", "options"];
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}
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get lc_secrets() {
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return {
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baiduApiKey: "BAIDU_API_KEY",
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apiKey: "BAIDU_API_KEY",
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baiduSecretKey: "BAIDU_SECRET_KEY",
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};
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}
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get lc_aliases() {
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return undefined;
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}
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constructor(fields) {
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super(fields ?? {});
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Object.defineProperty(this, "lc_serializable", {
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enumerable: true,
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configurable: true,
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writable: true,
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value: true
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});
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Object.defineProperty(this, "baiduApiKey", {
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enumerable: true,
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configurable: true,
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writable: true,
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value: void 0
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});
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Object.defineProperty(this, "apiKey", {
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enumerable: true,
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configurable: true,
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writable: true,
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value: void 0
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});
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Object.defineProperty(this, "baiduSecretKey", {
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enumerable: true,
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configurable: true,
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writable: true,
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value: void 0
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});
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Object.defineProperty(this, "accessToken", {
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enumerable: true,
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configurable: true,
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writable: true,
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value: void 0
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});
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Object.defineProperty(this, "streaming", {
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enumerable: true,
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configurable: true,
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writable: true,
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value: false
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});
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Object.defineProperty(this, "prefixMessages", {
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enumerable: true,
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configurable: true,
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writable: true,
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value: void 0
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});
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Object.defineProperty(this, "userId", {
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enumerable: true,
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configurable: true,
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writable: true,
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value: void 0
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});
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Object.defineProperty(this, "modelName", {
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enumerable: true,
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configurable: true,
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writable: true,
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value: "ERNIE-Bot-turbo"
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});
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Object.defineProperty(this, "model", {
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enumerable: true,
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configurable: true,
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writable: true,
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value: "ERNIE-Bot-turbo"
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});
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Object.defineProperty(this, "apiUrl", {
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enumerable: true,
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configurable: true,
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writable: true,
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value: void 0
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});
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Object.defineProperty(this, "temperature", {
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enumerable: true,
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configurable: true,
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writable: true,
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value: void 0
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});
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Object.defineProperty(this, "topP", {
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enumerable: true,
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configurable: true,
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writable: true,
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value: void 0
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});
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Object.defineProperty(this, "penaltyScore", {
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enumerable: true,
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configurable: true,
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writable: true,
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value: void 0
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});
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this.baiduApiKey =
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fields?.apiKey ??
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fields?.baiduApiKey ??
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(0, env_1.getEnvironmentVariable)("BAIDU_API_KEY");
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if (!this.baiduApiKey) {
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throw new Error("Baidu API key not found");
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}
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this.apiKey = this.baiduApiKey;
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this.baiduSecretKey =
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fields?.baiduSecretKey ?? (0, env_1.getEnvironmentVariable)("BAIDU_SECRET_KEY");
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if (!this.baiduSecretKey) {
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throw new Error("Baidu Secret key not found");
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}
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this.streaming = fields?.streaming ?? this.streaming;
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this.prefixMessages = fields?.prefixMessages ?? this.prefixMessages;
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this.userId = fields?.userId ?? this.userId;
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this.temperature = fields?.temperature ?? this.temperature;
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this.topP = fields?.topP ?? this.topP;
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this.penaltyScore = fields?.penaltyScore ?? this.penaltyScore;
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this.modelName = fields?.model ?? fields?.modelName ?? this.model;
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this.model = this.modelName;
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const models = {
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"ERNIE-Bot": "completions",
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"ERNIE-Bot-turbo": "eb-instant",
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"ERNIE-Bot-4": "completions_pro",
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"ERNIE-Speed-8K": "ernie_speed",
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"ERNIE-Speed-128K": "ernie-speed-128k",
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"ERNIE-4.0-8K": "completions_pro",
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"ERNIE-4.0-8K-Preview": "ernie-4.0-8k-preview",
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"ERNIE-3.5-8K": "completions",
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"ERNIE-3.5-8K-Preview": "ernie-3.5-8k-preview",
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"ERNIE-Lite-8K": "eb-instant",
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"ERNIE-Tiny-8K": "ernie-tiny-8k",
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"ERNIE-Character-8K": "ernie-char-8k",
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"ERNIE Speed-AppBuilder": "ai_apaas",
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};
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if (this.model in models) {
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this.apiUrl = `https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/${models[this.model]}`;
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}
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else {
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throw new Error(`Invalid model name: ${this.model}`);
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}
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}
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/**
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* Method that retrieves the access token for making requests to the Baidu
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* API.
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* @param options Optional parsed call options.
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* @returns The access token for making requests to the Baidu API.
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*/
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async getAccessToken(options) {
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const url = `https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id=${this.apiKey}&client_secret=${this.baiduSecretKey}`;
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const response = await fetch(url, {
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method: "POST",
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headers: {
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"Content-Type": "application/json",
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Accept: "application/json",
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},
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signal: options?.signal,
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});
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if (!response.ok) {
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const text = await response.text();
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const error = new Error(`Baidu get access token failed with status code ${response.status}, response: ${text}`);
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// eslint-disable-next-line @typescript-eslint/no-explicit-any
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error.response = response;
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throw error;
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}
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const json = await response.json();
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return json.access_token;
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}
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/**
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* Get the parameters used to invoke the model
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*/
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invocationParams() {
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return {
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stream: this.streaming,
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user_id: this.userId,
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temperature: this.temperature,
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top_p: this.topP,
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penalty_score: this.penaltyScore,
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};
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}
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/**
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* Get the identifying parameters for the model
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*/
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identifyingParams() {
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return {
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model_name: this.model,
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...this.invocationParams(),
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};
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}
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_ensureMessages(messages) {
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return messages.map((message) => ({
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role: messageToWenxinRole(message),
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content: message.text,
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}));
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}
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/** @ignore */
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async _generate(messages, options, runManager) {
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const tokenUsage = {};
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const params = this.invocationParams();
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// Wenxin requires the system message to be put in the params, not messages array
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const systemMessage = messages.find((message) => message._getType() === "system");
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if (systemMessage) {
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// eslint-disable-next-line no-param-reassign
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messages = messages.filter((message) => message !== systemMessage);
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params.system = systemMessage.text;
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}
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const messagesMapped = this._ensureMessages(messages);
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const data = params.stream
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? await new Promise((resolve, reject) => {
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let response;
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let rejected = false;
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let resolved = false;
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this.completionWithRetry({
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...params,
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messages: messagesMapped,
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}, true, options?.signal, (event) => {
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const data = JSON.parse(event.data);
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if (data?.error_code) {
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if (rejected) {
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return;
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}
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rejected = true;
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reject(new Error(data?.error_msg));
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return;
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}
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const message = data;
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// on the first message set the response properties
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if (!response) {
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response = {
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id: message.id,
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object: message.object,
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created: message.created,
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result: message.result,
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need_clear_history: message.need_clear_history,
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usage: message.usage,
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};
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}
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else {
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response.result += message.result;
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response.created = message.created;
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response.need_clear_history = message.need_clear_history;
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response.usage = message.usage;
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}
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// TODO this should pass part.index to the callback
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// when that's supported there
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// eslint-disable-next-line no-void
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void runManager?.handleLLMNewToken(message.result ?? "");
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if (message.is_end) {
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if (resolved || rejected) {
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return;
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}
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resolved = true;
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resolve(response);
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}
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}).catch((error) => {
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if (!rejected) {
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rejected = true;
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reject(error);
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}
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});
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})
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: await this.completionWithRetry({
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...params,
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messages: messagesMapped,
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}, false, options?.signal).then((data) => {
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if (data?.error_code) {
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||
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throw new Error(data?.error_msg);
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||
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}
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||
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return data;
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||
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});
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const { completion_tokens: completionTokens, prompt_tokens: promptTokens, total_tokens: totalTokens, } = data.usage ?? {};
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||
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if (completionTokens) {
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tokenUsage.completionTokens =
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(tokenUsage.completionTokens ?? 0) + completionTokens;
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}
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if (promptTokens) {
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tokenUsage.promptTokens = (tokenUsage.promptTokens ?? 0) + promptTokens;
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}
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if (totalTokens) {
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tokenUsage.totalTokens = (tokenUsage.totalTokens ?? 0) + totalTokens;
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||
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}
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const generations = [];
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const text = data.result ?? "";
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generations.push({
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||
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text,
|
||
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message: new messages_1.AIMessage(text),
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||
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});
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||
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return {
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||
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generations,
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||
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llmOutput: { tokenUsage },
|
||
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};
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||
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}
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||
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/** @ignore */
|
||
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async completionWithRetry(request, stream, signal, onmessage) {
|
||
|
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// The first run will get the accessToken
|
||
|
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if (!this.accessToken) {
|
||
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this.accessToken = await this.getAccessToken();
|
||
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}
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||
|
|
const findFirstNewlineIndex = (data) => {
|
||
|
|
for (let i = 0; i < data.length;) {
|
||
|
|
if (data[i] === 10)
|
||
|
|
return i;
|
||
|
|
if ((data[i] & 0b11100000) === 0b11000000) {
|
||
|
|
i += 2;
|
||
|
|
}
|
||
|
|
else if ((data[i] & 0b11110000) === 0b11100000) {
|
||
|
|
i += 3;
|
||
|
|
}
|
||
|
|
else if ((data[i] & 0b11111000) === 0b11110000) {
|
||
|
|
i += 4;
|
||
|
|
}
|
||
|
|
else {
|
||
|
|
i += 1;
|
||
|
|
}
|
||
|
|
}
|
||
|
|
return -1;
|
||
|
|
};
|
||
|
|
const makeCompletionRequest = async () => {
|
||
|
|
const url = `${this.apiUrl}?access_token=${this.accessToken}`;
|
||
|
|
const response = await fetch(url, {
|
||
|
|
method: "POST",
|
||
|
|
headers: {
|
||
|
|
"Content-Type": "application/json",
|
||
|
|
},
|
||
|
|
body: JSON.stringify(request),
|
||
|
|
signal,
|
||
|
|
});
|
||
|
|
if (!stream) {
|
||
|
|
return response.json();
|
||
|
|
}
|
||
|
|
else {
|
||
|
|
if (response.body) {
|
||
|
|
// response will not be a stream if an error occurred
|
||
|
|
if (!response.headers
|
||
|
|
.get("content-type")
|
||
|
|
?.startsWith("text/event-stream")) {
|
||
|
|
onmessage?.(new MessageEvent("message", {
|
||
|
|
data: await response.text(),
|
||
|
|
}));
|
||
|
|
return;
|
||
|
|
}
|
||
|
|
const reader = response.body.getReader();
|
||
|
|
const decoder = new TextDecoder("utf-8");
|
||
|
|
let dataArrayBuffer = new Uint8Array(0);
|
||
|
|
let continueReading = true;
|
||
|
|
while (continueReading) {
|
||
|
|
const { done, value } = await reader.read();
|
||
|
|
if (done) {
|
||
|
|
continueReading = false;
|
||
|
|
break;
|
||
|
|
}
|
||
|
|
// merge the data first then decode in case of the Chinese characters are split between chunks
|
||
|
|
const mergedArray = new Uint8Array(dataArrayBuffer.length + value.length);
|
||
|
|
mergedArray.set(dataArrayBuffer);
|
||
|
|
mergedArray.set(value, dataArrayBuffer.length);
|
||
|
|
dataArrayBuffer = mergedArray;
|
||
|
|
let continueProcessing = true;
|
||
|
|
while (continueProcessing) {
|
||
|
|
const newlineIndex = findFirstNewlineIndex(dataArrayBuffer);
|
||
|
|
if (newlineIndex === -1) {
|
||
|
|
continueProcessing = false;
|
||
|
|
break;
|
||
|
|
}
|
||
|
|
const lineArrayBuffer = dataArrayBuffer.slice(0, findFirstNewlineIndex(dataArrayBuffer));
|
||
|
|
const line = decoder.decode(lineArrayBuffer);
|
||
|
|
dataArrayBuffer = dataArrayBuffer.slice(findFirstNewlineIndex(dataArrayBuffer) + 1);
|
||
|
|
if (line.startsWith("data:")) {
|
||
|
|
const event = new MessageEvent("message", {
|
||
|
|
data: line.slice("data:".length).trim(),
|
||
|
|
});
|
||
|
|
onmessage?.(event);
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
};
|
||
|
|
return this.caller.call(makeCompletionRequest);
|
||
|
|
}
|
||
|
|
async getFullApiUrl() {
|
||
|
|
if (!this.accessToken) {
|
||
|
|
this.accessToken = await this.getAccessToken();
|
||
|
|
}
|
||
|
|
return `${this.apiUrl}?access_token=${this.accessToken}`;
|
||
|
|
}
|
||
|
|
async createWenxinStream(request, signal) {
|
||
|
|
const url = await this.getFullApiUrl();
|
||
|
|
const response = await fetch(url, {
|
||
|
|
method: "POST",
|
||
|
|
headers: {
|
||
|
|
Accept: "text/event-stream",
|
||
|
|
"Content-Type": "application/json",
|
||
|
|
},
|
||
|
|
body: JSON.stringify(request),
|
||
|
|
signal,
|
||
|
|
});
|
||
|
|
if (!response.body) {
|
||
|
|
throw new Error("Could not begin Wenxin stream. Please check the given URL and try again.");
|
||
|
|
}
|
||
|
|
return (0, event_source_parse_js_1.convertEventStreamToIterableReadableDataStream)(response.body);
|
||
|
|
}
|
||
|
|
_deserialize(json) {
|
||
|
|
try {
|
||
|
|
return JSON.parse(json);
|
||
|
|
}
|
||
|
|
catch (e) {
|
||
|
|
console.warn(`Received a non-JSON parseable chunk: ${json}`);
|
||
|
|
}
|
||
|
|
}
|
||
|
|
async *_streamResponseChunks(messages, options, runManager) {
|
||
|
|
const parameters = {
|
||
|
|
...this.invocationParams(),
|
||
|
|
stream: true,
|
||
|
|
};
|
||
|
|
// Wenxin requires the system message to be put in the params, not messages array
|
||
|
|
const systemMessage = messages.find((message) => message._getType() === "system");
|
||
|
|
if (systemMessage) {
|
||
|
|
// eslint-disable-next-line no-param-reassign
|
||
|
|
messages = messages.filter((message) => message !== systemMessage);
|
||
|
|
parameters.system = systemMessage.text;
|
||
|
|
}
|
||
|
|
const messagesMapped = this._ensureMessages(messages);
|
||
|
|
const stream = await this.caller.call(async () => this.createWenxinStream({
|
||
|
|
...parameters,
|
||
|
|
messages: messagesMapped,
|
||
|
|
}, options?.signal));
|
||
|
|
for await (const chunk of stream) {
|
||
|
|
const deserializedChunk = this._deserialize(chunk);
|
||
|
|
const { result, is_end, id } = deserializedChunk;
|
||
|
|
yield new outputs_1.ChatGenerationChunk({
|
||
|
|
text: result,
|
||
|
|
message: new messages_1.AIMessageChunk({ content: result }),
|
||
|
|
generationInfo: is_end
|
||
|
|
? {
|
||
|
|
is_end,
|
||
|
|
request_id: id,
|
||
|
|
usage: chunk.usage,
|
||
|
|
}
|
||
|
|
: undefined,
|
||
|
|
});
|
||
|
|
await runManager?.handleLLMNewToken(result);
|
||
|
|
}
|
||
|
|
}
|
||
|
|
_llmType() {
|
||
|
|
return "baiduwenxin";
|
||
|
|
}
|
||
|
|
/** @ignore */
|
||
|
|
_combineLLMOutput() {
|
||
|
|
return [];
|
||
|
|
}
|
||
|
|
}
|
||
|
|
exports.ChatBaiduWenxin = ChatBaiduWenxin;
|