Louis 5250061c11
feat: Jan Server, API and decoupled clients (#948)
* 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>
2023-12-28 17:57:39 +07:00

251 lines
7.2 KiB
TypeScript

/**
* @file This file exports a class that implements the InferenceExtension interface from the @janhq/core package.
* The class provides methods for initializing and stopping a model, and for making inference requests.
* It also subscribes to events emitted by the @janhq/core package and handles new message requests.
* @version 1.0.0
* @module inference-extension/src/index
*/
import {
ChatCompletionRole,
ContentType,
EventName,
MessageRequest,
MessageStatus,
ExtensionType,
ThreadContent,
ThreadMessage,
events,
executeOnMain,
fs,
Model,
joinPath,
} from "@janhq/core";
import { InferenceExtension } from "@janhq/core";
import { requestInference } from "./helpers/sse";
import { ulid } from "ulid";
import { join } from "path";
/**
* A class that implements the InferenceExtension interface from the @janhq/core package.
* The class provides methods for initializing and stopping a model, and for making inference requests.
* It also subscribes to events emitted by the @janhq/core package and handles new message requests.
*/
export default class JanInferenceNitroExtension implements InferenceExtension {
private static readonly _homeDir = "engines";
private static readonly _engineMetadataFileName = "nitro.json";
private static _currentModel: Model;
private static _engineSettings: EngineSettings = {
ctx_len: 2048,
ngl: 100,
cpu_threads: 1,
cont_batching: false,
embedding: false,
};
controller = new AbortController();
isCancelled = false;
/**
* Returns the type of the extension.
* @returns {ExtensionType} The type of the extension.
*/
type(): ExtensionType {
return ExtensionType.Inference;
}
/**
* Subscribes to events emitted by the @janhq/core package.
*/
async onLoad() {
if (!(await fs.existsSync(JanInferenceNitroExtension._homeDir)))
fs.mkdirSync(JanInferenceNitroExtension._homeDir);
this.writeDefaultEngineSettings();
// Events subscription
events.on(EventName.OnMessageSent, (data) =>
JanInferenceNitroExtension.handleMessageRequest(data, this)
);
events.on(EventName.OnModelInit, (model: Model) => {
JanInferenceNitroExtension.handleModelInit(model);
});
events.on(EventName.OnModelStop, (model: Model) => {
JanInferenceNitroExtension.handleModelStop(model);
});
events.on(EventName.OnInferenceStopped, () => {
JanInferenceNitroExtension.handleInferenceStopped(this);
});
}
/**
* Stops the model inference.
*/
onUnload(): void {}
private async writeDefaultEngineSettings() {
try {
const engineFile = join(
JanInferenceNitroExtension._homeDir,
JanInferenceNitroExtension._engineMetadataFileName
);
if (await fs.existsSync(engineFile)) {
const engine = await fs.readFileSync(engineFile, "utf-8");
JanInferenceNitroExtension._engineSettings =
typeof engine === "object" ? engine : JSON.parse(engine);
} else {
await fs.writeFileSync(
engineFile,
JSON.stringify(JanInferenceNitroExtension._engineSettings, null, 2)
);
}
} catch (err) {
console.error(err);
}
}
private static async handleModelInit(model: Model) {
if (model.engine !== "nitro") {
return;
}
const modelFullPath = await joinPath(["models", model.id]);
const nitroInitResult = await executeOnMain(MODULE, "initModel", {
modelFullPath: modelFullPath,
model: model,
});
if (nitroInitResult.error === null) {
events.emit(EventName.OnModelFail, model);
} else {
JanInferenceNitroExtension._currentModel = model;
events.emit(EventName.OnModelReady, model);
}
}
private static async handleModelStop(model: Model) {
if (model.engine !== "nitro") {
return;
} else {
await executeOnMain(MODULE, "stopModel");
events.emit(EventName.OnModelStopped, model);
}
}
private static async handleInferenceStopped(
instance: JanInferenceNitroExtension
) {
instance.isCancelled = true;
instance.controller?.abort();
}
/**
* Makes a single response inference request.
* @param {MessageRequest} data - The data for the inference request.
* @returns {Promise<any>} A promise that resolves with the inference response.
*/
async inference(data: MessageRequest): Promise<ThreadMessage> {
const timestamp = Date.now();
const message: ThreadMessage = {
thread_id: data.threadId,
created: timestamp,
updated: timestamp,
status: MessageStatus.Ready,
id: "",
role: ChatCompletionRole.Assistant,
object: "thread.message",
content: [],
};
return new Promise(async (resolve, reject) => {
requestInference(
data.messages ?? [],
JanInferenceNitroExtension._currentModel
).subscribe({
next: (_content) => {},
complete: async () => {
resolve(message);
},
error: async (err) => {
reject(err);
},
});
});
}
/**
* Handles a new message request by making an inference request and emitting events.
* Function registered in event manager, should be static to avoid binding issues.
* Pass instance as a reference.
* @param {MessageRequest} data - The data for the new message request.
*/
private static async handleMessageRequest(
data: MessageRequest,
instance: JanInferenceNitroExtension
) {
if (data.model.engine !== "nitro") {
return;
}
const timestamp = Date.now();
const message: ThreadMessage = {
id: ulid(),
thread_id: data.threadId,
assistant_id: data.assistantId,
role: ChatCompletionRole.Assistant,
content: [],
status: MessageStatus.Pending,
created: timestamp,
updated: timestamp,
object: "thread.message",
};
events.emit(EventName.OnMessageResponse, message);
instance.isCancelled = false;
instance.controller = new AbortController();
requestInference(
data.messages ?? [],
{ ...JanInferenceNitroExtension._currentModel, ...data.model },
instance.controller
).subscribe({
next: (content) => {
const messageContent: ThreadContent = {
type: ContentType.Text,
text: {
value: content.trim(),
annotations: [],
},
};
message.content = [messageContent];
events.emit(EventName.OnMessageUpdate, message);
},
complete: async () => {
message.status = message.content.length
? MessageStatus.Ready
: MessageStatus.Error;
events.emit(EventName.OnMessageUpdate, message);
},
error: async (err) => {
if (instance.isCancelled || message.content.length) {
message.status = MessageStatus.Error;
events.emit(EventName.OnMessageUpdate, message);
return;
}
const messageContent: ThreadContent = {
type: ContentType.Text,
text: {
value: "Error occurred: " + err.message,
annotations: [],
},
};
message.content = [messageContent];
message.status = MessageStatus.Ready;
events.emit(EventName.OnMessageUpdate, message);
},
});
}
}