259 lines
9.3 KiB
JavaScript
259 lines
9.3 KiB
JavaScript
"use strict";
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Object.defineProperty(exports, "__esModule", { value: true });
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exports.ChatFriendli = 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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function messageToFriendliRole(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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return "system";
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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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}
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if (["system", "assistant", "user"].includes(message.role)) {
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return message.role;
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}
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throw new Error(`Unknown message type: ${type}`);
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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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function friendliResponseToChatMessage(message) {
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switch (message.role) {
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case "user":
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return new messages_1.HumanMessage(message.content ?? "");
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case "assistant":
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return new messages_1.AIMessage(message.content ?? "");
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case "system":
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return new messages_1.SystemMessage(message.content ?? "");
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default:
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return new messages_1.ChatMessage(message.content ?? "", message.role ?? "unknown");
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}
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}
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function _convertDeltaToMessageChunk(
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// eslint-disable-next-line @typescript-eslint/no-explicit-any
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delta) {
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const role = delta.role ?? "assistant";
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const content = delta.content ?? "";
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let additional_kwargs;
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if (delta.function_call) {
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additional_kwargs = {
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function_call: delta.function_call,
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};
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}
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else {
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additional_kwargs = {};
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}
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if (role === "user") {
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return new messages_1.HumanMessageChunk({ content });
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}
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else if (role === "assistant") {
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return new messages_1.AIMessageChunk({ content, additional_kwargs });
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}
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else if (role === "system") {
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return new messages_1.SystemMessageChunk({ content });
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}
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else {
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return new messages_1.ChatMessageChunk({ content, role });
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}
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}
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/**
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* The ChatFriendli class is used to interact with Friendli inference Endpoint models.
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* This requires your Friendli Token and Friendli Team which is autoloaded if not specified.
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*/
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class ChatFriendli extends chat_models_1.BaseChatModel {
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static lc_name() {
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return "Friendli";
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}
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get lc_secrets() {
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return {
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friendliToken: "FRIENDLI_TOKEN",
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friendliTeam: "FRIENDLI_TEAM",
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};
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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, "model", {
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enumerable: true,
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configurable: true,
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writable: true,
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value: "meta-llama-3-8b-instruct"
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});
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Object.defineProperty(this, "baseUrl", {
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enumerable: true,
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configurable: true,
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writable: true,
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value: "https://inference.friendli.ai"
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});
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Object.defineProperty(this, "friendliToken", {
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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, "friendliTeam", {
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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, "frequencyPenalty", {
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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, "maxTokens", {
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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, "stop", {
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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, "modelKwargs", {
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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.model = fields?.model ?? this.model;
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this.baseUrl = fields?.baseUrl ?? this.baseUrl;
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this.friendliToken =
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fields?.friendliToken ?? (0, env_1.getEnvironmentVariable)("FRIENDLI_TOKEN");
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this.friendliTeam =
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fields?.friendliTeam ?? (0, env_1.getEnvironmentVariable)("FRIENDLI_TEAM");
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this.frequencyPenalty = fields?.frequencyPenalty ?? this.frequencyPenalty;
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this.maxTokens = fields?.maxTokens ?? this.maxTokens;
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this.stop = fields?.stop ?? this.stop;
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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.modelKwargs = fields?.modelKwargs ?? {};
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if (!this.friendliToken) {
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throw new Error("Missing Friendli Token");
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}
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}
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_llmType() {
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return "friendli";
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}
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constructHeaders(stream) {
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return {
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"Content-Type": "application/json",
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Accept: stream ? "text/event-stream" : "application/json",
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Authorization: `Bearer ${this.friendliToken}`,
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"X-Friendli-Team": this.friendliTeam ?? "",
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};
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}
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constructBody(messages, stream, _options) {
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const messageList = messages.map((message) => {
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if (typeof message.content !== "string") {
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throw new Error("Friendli does not support non-string message content.");
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}
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return {
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role: messageToFriendliRole(message),
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content: message.content,
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};
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});
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const body = JSON.stringify({
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messages: messageList,
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stream,
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model: this.model,
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max_tokens: this.maxTokens,
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frequency_penalty: this.frequencyPenalty,
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stop: this.stop,
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temperature: this.temperature,
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top_p: this.topP,
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...this.modelKwargs,
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});
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return body;
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}
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/**
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* Calls the Friendli endpoint and retrieves the result.
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* @param {BaseMessage[]} messages The input messages.
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* @returns {Promise<ChatResult>} A promise that resolves to the generated chat result.
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*/
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/** @ignore */
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async _generate(messages, _options) {
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const response = (await this.caller.call(async () => fetch(`${this.baseUrl}/v1/chat/completions`, {
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method: "POST",
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headers: this.constructHeaders(false),
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body: this.constructBody(messages, false, _options),
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}).then((res) => res.json())));
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const generations = [];
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for (const data of response.choices ?? []) {
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const text = data.message?.content ?? "";
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const generation = {
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text,
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message: friendliResponseToChatMessage(data.message ?? {}),
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};
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if (data.finish_reason) {
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generation.generationInfo = { finish_reason: data.finish_reason };
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}
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generations.push(generation);
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}
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return { generations };
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}
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async *_streamResponseChunks(messages, _options, runManager) {
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const response = await this.caller.call(async () => fetch(`${this.baseUrl}/v1/chat/completions`, {
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method: "POST",
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headers: this.constructHeaders(true),
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body: this.constructBody(messages, true, _options),
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}));
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if (response.status !== 200 ?? !response.body) {
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const errorResponse = await response.json();
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throw new Error(JSON.stringify(errorResponse));
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}
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const stream = (0, event_source_parse_js_1.convertEventStreamToIterableReadableDataStream)(response.body);
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for await (const chunk of stream) {
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if (chunk === "[DONE]")
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break;
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const parsedChunk = JSON.parse(chunk);
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if (parsedChunk.choices[0].finish_reason === null) {
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const generationChunk = new outputs_1.ChatGenerationChunk({
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message: _convertDeltaToMessageChunk(parsedChunk.choices[0].delta),
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text: parsedChunk.choices[0].delta.content ?? "",
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generationInfo: {
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finishReason: parsedChunk.choices[0].finish_reason,
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},
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});
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yield generationChunk;
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void runManager?.handleLLMNewToken(generationChunk.text ?? "");
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}
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}
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}
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}
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exports.ChatFriendli = ChatFriendli;
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