* chore: expose fs apis * chore: correct electron import path * update download api Signed-off-by: James <james@jan.ai> * update chat_completion Signed-off-by: James <james@jan.ai> * fix electron import Signed-off-by: James <james@jan.ai> * feat: adding API support at 1337 (#991) Signed-off-by: James <james@jan.ai> Co-authored-by: James <james@jan.ai> * feat: Add /chat/completion api and handler * chore: add todo for modelList * chore: read engine.json for openai chat_completion (#1030) Signed-off-by: James <james@jan.ai> Co-authored-by: James <james@jan.ai> * refactor: move routes to shared node module * refactor: exported modules from core with types (#1172) * refactor: exported modules from core with types * fix: fix file reading args * refactor: fileManager handles * fix: app issues with server refactoring * refactor: shared server module (#1210) * chore: resolve main * chore: update makefile --------- Signed-off-by: James <james@jan.ai> Co-authored-by: James <james@jan.ai> Co-authored-by: NamH <NamNh0122@gmail.com> Co-authored-by: hiro <vuonghoainam.work@gmail.com>
251 lines
7.2 KiB
TypeScript
251 lines
7.2 KiB
TypeScript
/**
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* @file This file exports a class that implements the InferenceExtension interface from the @janhq/core package.
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* The class provides methods for initializing and stopping a model, and for making inference requests.
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* It also subscribes to events emitted by the @janhq/core package and handles new message requests.
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* @version 1.0.0
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* @module inference-extension/src/index
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*/
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import {
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ChatCompletionRole,
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ContentType,
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EventName,
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MessageRequest,
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MessageStatus,
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ExtensionType,
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ThreadContent,
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ThreadMessage,
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events,
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executeOnMain,
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fs,
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Model,
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joinPath,
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} from "@janhq/core";
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import { InferenceExtension } from "@janhq/core";
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import { requestInference } from "./helpers/sse";
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import { ulid } from "ulid";
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import { join } from "path";
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/**
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* A class that implements the InferenceExtension interface from the @janhq/core package.
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* The class provides methods for initializing and stopping a model, and for making inference requests.
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* It also subscribes to events emitted by the @janhq/core package and handles new message requests.
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*/
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export default class JanInferenceNitroExtension implements InferenceExtension {
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private static readonly _homeDir = "engines";
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private static readonly _engineMetadataFileName = "nitro.json";
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private static _currentModel: Model;
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private static _engineSettings: EngineSettings = {
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ctx_len: 2048,
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ngl: 100,
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cpu_threads: 1,
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cont_batching: false,
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embedding: false,
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};
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controller = new AbortController();
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isCancelled = false;
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/**
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* Returns the type of the extension.
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* @returns {ExtensionType} The type of the extension.
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*/
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type(): ExtensionType {
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return ExtensionType.Inference;
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}
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/**
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* Subscribes to events emitted by the @janhq/core package.
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*/
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async onLoad() {
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if (!(await fs.existsSync(JanInferenceNitroExtension._homeDir)))
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fs.mkdirSync(JanInferenceNitroExtension._homeDir);
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this.writeDefaultEngineSettings();
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// Events subscription
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events.on(EventName.OnMessageSent, (data) =>
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JanInferenceNitroExtension.handleMessageRequest(data, this)
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);
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events.on(EventName.OnModelInit, (model: Model) => {
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JanInferenceNitroExtension.handleModelInit(model);
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});
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events.on(EventName.OnModelStop, (model: Model) => {
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JanInferenceNitroExtension.handleModelStop(model);
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});
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events.on(EventName.OnInferenceStopped, () => {
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JanInferenceNitroExtension.handleInferenceStopped(this);
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});
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}
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/**
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* Stops the model inference.
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*/
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onUnload(): void {}
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private async writeDefaultEngineSettings() {
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try {
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const engineFile = join(
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JanInferenceNitroExtension._homeDir,
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JanInferenceNitroExtension._engineMetadataFileName
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);
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if (await fs.existsSync(engineFile)) {
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const engine = await fs.readFileSync(engineFile, "utf-8");
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JanInferenceNitroExtension._engineSettings =
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typeof engine === "object" ? engine : JSON.parse(engine);
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} else {
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await fs.writeFileSync(
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engineFile,
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JSON.stringify(JanInferenceNitroExtension._engineSettings, null, 2)
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);
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}
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} catch (err) {
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console.error(err);
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}
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}
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private static async handleModelInit(model: Model) {
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if (model.engine !== "nitro") {
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return;
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}
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const modelFullPath = await joinPath(["models", model.id]);
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const nitroInitResult = await executeOnMain(MODULE, "initModel", {
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modelFullPath: modelFullPath,
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model: model,
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});
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if (nitroInitResult.error === null) {
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events.emit(EventName.OnModelFail, model);
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} else {
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JanInferenceNitroExtension._currentModel = model;
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events.emit(EventName.OnModelReady, model);
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}
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}
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private static async handleModelStop(model: Model) {
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if (model.engine !== "nitro") {
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return;
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} else {
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await executeOnMain(MODULE, "stopModel");
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events.emit(EventName.OnModelStopped, model);
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}
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}
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private static async handleInferenceStopped(
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instance: JanInferenceNitroExtension
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) {
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instance.isCancelled = true;
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instance.controller?.abort();
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}
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/**
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* Makes a single response inference request.
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* @param {MessageRequest} data - The data for the inference request.
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* @returns {Promise<any>} A promise that resolves with the inference response.
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*/
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async inference(data: MessageRequest): Promise<ThreadMessage> {
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const timestamp = Date.now();
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const message: ThreadMessage = {
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thread_id: data.threadId,
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created: timestamp,
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updated: timestamp,
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status: MessageStatus.Ready,
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id: "",
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role: ChatCompletionRole.Assistant,
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object: "thread.message",
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content: [],
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};
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return new Promise(async (resolve, reject) => {
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requestInference(
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data.messages ?? [],
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JanInferenceNitroExtension._currentModel
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).subscribe({
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next: (_content) => {},
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complete: async () => {
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resolve(message);
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},
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error: async (err) => {
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reject(err);
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},
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});
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});
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}
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/**
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* Handles a new message request by making an inference request and emitting events.
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* Function registered in event manager, should be static to avoid binding issues.
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* Pass instance as a reference.
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* @param {MessageRequest} data - The data for the new message request.
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*/
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private static async handleMessageRequest(
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data: MessageRequest,
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instance: JanInferenceNitroExtension
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) {
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if (data.model.engine !== "nitro") {
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return;
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}
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const timestamp = Date.now();
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const message: ThreadMessage = {
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id: ulid(),
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thread_id: data.threadId,
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assistant_id: data.assistantId,
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role: ChatCompletionRole.Assistant,
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content: [],
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status: MessageStatus.Pending,
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created: timestamp,
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updated: timestamp,
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object: "thread.message",
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};
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events.emit(EventName.OnMessageResponse, message);
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instance.isCancelled = false;
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instance.controller = new AbortController();
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requestInference(
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data.messages ?? [],
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{ ...JanInferenceNitroExtension._currentModel, ...data.model },
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instance.controller
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).subscribe({
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next: (content) => {
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const messageContent: ThreadContent = {
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type: ContentType.Text,
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text: {
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value: content.trim(),
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annotations: [],
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},
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};
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message.content = [messageContent];
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events.emit(EventName.OnMessageUpdate, message);
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},
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complete: async () => {
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message.status = message.content.length
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? MessageStatus.Ready
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: MessageStatus.Error;
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events.emit(EventName.OnMessageUpdate, message);
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},
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error: async (err) => {
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if (instance.isCancelled || message.content.length) {
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message.status = MessageStatus.Error;
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events.emit(EventName.OnMessageUpdate, message);
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return;
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}
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const messageContent: ThreadContent = {
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type: ContentType.Text,
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text: {
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value: "Error occurred: " + err.message,
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annotations: [],
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},
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};
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message.content = [messageContent];
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message.status = MessageStatus.Ready;
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events.emit(EventName.OnMessageUpdate, message);
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},
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});
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}
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}
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