307 lines
8.6 KiB
TypeScript
307 lines
8.6 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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MessageRequest,
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MessageStatus,
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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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InferenceExtension,
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log,
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InferenceEngine,
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MessageEvent,
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ModelEvent,
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InferenceEvent,
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ModelSettingParams,
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} from "@janhq/core";
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import { requestInference } from "./helpers/sse";
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import { ulid } from "ulid";
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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 extends InferenceExtension {
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private static readonly _homeDir = "file://engines";
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private static readonly _settingsDir = "file://settings";
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private static readonly _engineMetadataFileName = "nitro.json";
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/**
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* Checking the health for Nitro's process each 5 secs.
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*/
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private static readonly _intervalHealthCheck = 5 * 1000;
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private _currentModel: Model | undefined;
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private _engineSettings: ModelSettingParams = {
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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: true,
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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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* The interval id for the health check. Used to stop the health check.
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*/
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private getNitroProcesHealthIntervalId: NodeJS.Timeout | undefined =
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undefined;
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/**
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* Tracking the current state of nitro process.
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*/
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private nitroProcessInfo: any = undefined;
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private inferenceUrl = "";
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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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try {
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await fs.mkdirSync(JanInferenceNitroExtension._homeDir);
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} catch (e) {
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console.debug(e);
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}
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}
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// init inference url
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// @ts-ignore
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const electronApi = window?.electronAPI;
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this.inferenceUrl = INFERENCE_URL;
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if (!electronApi) {
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this.inferenceUrl = JAN_SERVER_INFERENCE_URL;
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}
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console.debug("Inference url: ", this.inferenceUrl);
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if (!(await fs.existsSync(JanInferenceNitroExtension._settingsDir)))
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await fs.mkdirSync(JanInferenceNitroExtension._settingsDir);
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this.writeDefaultEngineSettings();
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// Events subscription
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events.on(MessageEvent.OnMessageSent, (data: MessageRequest) =>
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this.onMessageRequest(data)
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);
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events.on(ModelEvent.OnModelInit, (model: Model) =>
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this.onModelInit(model)
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);
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events.on(ModelEvent.OnModelStop, (model: Model) =>
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this.onModelStop(model)
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);
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events.on(InferenceEvent.OnInferenceStopped, () =>
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this.onInferenceStopped()
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);
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// Attempt to fetch nvidia info
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await executeOnMain(NODE, "updateNvidiaInfo", {});
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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 = await joinPath([
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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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this._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(this._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 async onModelInit(model: Model) {
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if (model.engine !== InferenceEngine.nitro) return;
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const modelFullPath = await joinPath(["models", model.id]);
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this._currentModel = model;
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const nitroInitResult = await executeOnMain(NODE, "runModel", {
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modelFullPath,
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model,
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});
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if (nitroInitResult?.error) {
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events.emit(ModelEvent.OnModelFail, model);
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return;
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}
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events.emit(ModelEvent.OnModelReady, model);
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this.getNitroProcesHealthIntervalId = setInterval(
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() => this.periodicallyGetNitroHealth(),
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JanInferenceNitroExtension._intervalHealthCheck
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);
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}
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private async onModelStop(model: Model) {
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if (model.engine !== "nitro") return;
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await executeOnMain(NODE, "stopModel");
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events.emit(ModelEvent.OnModelStopped, {});
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// stop the periocally health check
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if (this.getNitroProcesHealthIntervalId) {
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clearInterval(this.getNitroProcesHealthIntervalId);
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this.getNitroProcesHealthIntervalId = undefined;
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}
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}
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/**
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* Periodically check for nitro process's health.
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*/
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private async periodicallyGetNitroHealth(): Promise<void> {
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const health = await executeOnMain(NODE, "getCurrentNitroProcessInfo");
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const isRunning = this.nitroProcessInfo?.isRunning ?? false;
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if (isRunning && health.isRunning === false) {
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console.debug("Nitro process is stopped");
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events.emit(ModelEvent.OnModelStopped, {});
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}
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this.nitroProcessInfo = health;
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}
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private async onInferenceStopped() {
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this.isCancelled = true;
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this.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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if (!this._currentModel) return Promise.reject("No model loaded");
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requestInference(
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this.inferenceUrl,
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data.messages ?? [],
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this._currentModel
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).subscribe({
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next: (_content: any) => {},
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complete: async () => {
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resolve(message);
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},
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error: async (err: any) => {
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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 async onMessageRequest(data: MessageRequest) {
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if (data.model?.engine !== InferenceEngine.nitro || !this._currentModel) {
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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(MessageEvent.OnMessageResponse, message);
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this.isCancelled = false;
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this.controller = new AbortController();
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// @ts-ignore
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const model: Model = {
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...(this._currentModel || {}),
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...(data.model || {}),
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};
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requestInference(
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this.inferenceUrl,
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data.messages ?? [],
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model,
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this.controller
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).subscribe({
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next: (content: any) => {
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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(MessageEvent.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(MessageEvent.OnMessageUpdate, message);
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},
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error: async (err: any) => {
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if (this.isCancelled || message.content.length) {
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message.status = MessageStatus.Stopped;
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events.emit(MessageEvent.OnMessageUpdate, message);
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return;
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}
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message.status = MessageStatus.Error;
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events.emit(MessageEvent.OnMessageUpdate, message);
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log(`[APP]::Error: ${err.message}`);
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},
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});
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}
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}
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