Merge pull request #3821 from janhq/feat/path-to-cortexcpp

feat: Jan Integrates Cortex.cpp as Provider
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Louis 2024-11-06 15:45:48 +07:00 committed by GitHub
commit a82c701087
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177 changed files with 2835 additions and 4247 deletions

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@ -319,6 +319,13 @@ jobs:
# TURBO_TEAM: 'linux'
# TURBO_TOKEN: '${{ secrets.TURBO_TOKEN }}'
- uses: actions/upload-artifact@v4
if: always()
with:
name: playwright-report
path: electron/playwright-report/
retention-days: 2
coverage-check:
runs-on: [self-hosted, Linux, ubuntu-desktop]
needs: base_branch_cov

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@ -1 +1 @@
npm run lint --fix
npx oxlint@latest --fix

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@ -1,6 +1,8 @@
import { SettingComponentProps } from '../types'
import { Model, ModelEvent, SettingComponentProps } from '../types'
import { getJanDataFolderPath, joinPath } from './core'
import { events } from './events'
import { fs } from './fs'
import { ModelManager } from './models'
export enum ExtensionTypeEnum {
Assistant = 'assistant',
@ -103,6 +105,22 @@ export abstract class BaseExtension implements ExtensionType {
return undefined
}
/**
* Registers models - it persists in-memory shared ModelManager instance's data map.
* @param models
*/
async registerModels(models: Model[]): Promise<void> {
for (const model of models) {
ModelManager.instance().register(model)
}
events.emit(ModelEvent.OnModelsUpdate, {})
}
/**
* Register settings for the extension.
* @param settings
* @returns
*/
async registerSettings(settings: SettingComponentProps[]): Promise<void> {
if (!this.name) {
console.error('Extension name is not defined')
@ -139,6 +157,12 @@ export abstract class BaseExtension implements ExtensionType {
}
}
/**
* Get the setting value for the key.
* @param key
* @param defaultValue
* @returns
*/
async getSetting<T>(key: string, defaultValue: T) {
const keySetting = (await this.getSettings()).find((setting) => setting.key === key)
@ -168,6 +192,10 @@ export abstract class BaseExtension implements ExtensionType {
return
}
/**
* Get the settings for the extension.
* @returns
*/
async getSettings(): Promise<SettingComponentProps[]> {
if (!this.name) return []
@ -189,6 +217,11 @@ export abstract class BaseExtension implements ExtensionType {
}
}
/**
* Update the settings for the extension.
* @param componentProps
* @returns
*/
async updateSettings(componentProps: Partial<SettingComponentProps>[]): Promise<void> {
if (!this.name) return

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@ -1,8 +1,6 @@
import { AIEngine } from './AIEngine'
import { events } from '../../events'
import { ModelEvent, Model, ModelFile, InferenceEngine } from '../../../types'
import { EngineManager } from './EngineManager'
import { fs } from '../../fs'
import { ModelEvent, Model } from '../../../types'
jest.mock('../../events')
jest.mock('./EngineManager')
@ -26,7 +24,7 @@ describe('AIEngine', () => {
})
it('should load model if provider matches', async () => {
const model: ModelFile = { id: 'model1', engine: 'test-provider' } as any
const model: any = { id: 'model1', engine: 'test-provider' } as any
await engine.loadModel(model)
@ -34,7 +32,7 @@ describe('AIEngine', () => {
})
it('should not load model if provider does not match', async () => {
const model: ModelFile = { id: 'model1', engine: 'other-provider' } as any
const model: any = { id: 'model1', engine: 'other-provider' } as any
await engine.loadModel(model)

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@ -1,17 +1,14 @@
import { getJanDataFolderPath, joinPath } from '../../core'
import { events } from '../../events'
import { BaseExtension } from '../../extension'
import { fs } from '../../fs'
import { MessageRequest, Model, ModelEvent, ModelFile } from '../../../types'
import { MessageRequest, Model, ModelEvent } from '../../../types'
import { EngineManager } from './EngineManager'
import { ModelManager } from '../../models/manager'
/**
* Base AIEngine
* Applicable to all AI Engines
*/
export abstract class AIEngine extends BaseExtension {
private static modelsFolder = 'models'
// The inference engine
abstract provider: string
@ -21,7 +18,7 @@ export abstract class AIEngine extends BaseExtension {
override onLoad() {
this.registerEngine()
events.on(ModelEvent.OnModelInit, (model: ModelFile) => this.loadModel(model))
events.on(ModelEvent.OnModelInit, (model: Model) => this.loadModel(model))
events.on(ModelEvent.OnModelStop, (model: Model) => this.unloadModel(model))
}
@ -32,53 +29,10 @@ export abstract class AIEngine extends BaseExtension {
EngineManager.instance().register(this)
}
async registerModels(models: Model[]): Promise<void> {
const modelFolderPath = await joinPath([await getJanDataFolderPath(), AIEngine.modelsFolder])
let shouldNotifyModelUpdate = false
for (const model of models) {
const modelPath = await joinPath([modelFolderPath, model.id])
const isExist = await fs.existsSync(modelPath)
if (isExist) {
await this.migrateModelIfNeeded(model, modelPath)
continue
}
await fs.mkdir(modelPath)
await fs.writeFileSync(
await joinPath([modelPath, 'model.json']),
JSON.stringify(model, null, 2)
)
shouldNotifyModelUpdate = true
}
if (shouldNotifyModelUpdate) {
events.emit(ModelEvent.OnModelsUpdate, {})
}
}
async migrateModelIfNeeded(model: Model, modelPath: string): Promise<void> {
try {
const modelJson = await fs.readFileSync(await joinPath([modelPath, 'model.json']), 'utf-8')
const currentModel: Model = JSON.parse(modelJson)
if (currentModel.version !== model.version) {
await fs.writeFileSync(
await joinPath([modelPath, 'model.json']),
JSON.stringify(model, null, 2)
)
events.emit(ModelEvent.OnModelsUpdate, {})
}
} catch (error) {
console.warn('Error while try to migrating model', error)
}
}
/**
* Loads the model.
*/
async loadModel(model: ModelFile): Promise<any> {
async loadModel(model: Model): Promise<any> {
if (model.engine.toString() !== this.provider) return Promise.resolve()
events.emit(ModelEvent.OnModelReady, model)
return Promise.resolve()

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@ -1,3 +1,4 @@
import { InferenceEngine } from '../../../types'
import { AIEngine } from './AIEngine'
/**
@ -20,6 +21,22 @@ export class EngineManager {
* @returns The engine, if found.
*/
get<T extends AIEngine>(provider: string): T | undefined {
// Backward compatible provider
// nitro is migrated to cortex
if (
[
InferenceEngine.nitro,
InferenceEngine.cortex,
InferenceEngine.cortex_llamacpp,
InferenceEngine.cortex_onnx,
InferenceEngine.cortex_tensorrtllm,
InferenceEngine.cortex_onnx,
]
.map((e) => e.toString())
.includes(provider)
)
provider = InferenceEngine.cortex
return this.engines.get(provider) as T | undefined
}
@ -27,6 +44,6 @@ export class EngineManager {
* The instance of the engine manager.
*/
static instance(): EngineManager {
return window.core?.engineManager as EngineManager ?? new EngineManager()
return (window.core?.engineManager as EngineManager) ?? new EngineManager()
}
}

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@ -3,7 +3,7 @@
*/
import { LocalOAIEngine } from './LocalOAIEngine'
import { events } from '../../events'
import { ModelEvent, ModelFile, Model } from '../../../types'
import { ModelEvent, Model } from '../../../types'
import { executeOnMain, systemInformation, dirName } from '../../core'
jest.mock('../../core', () => ({
@ -43,7 +43,7 @@ describe('LocalOAIEngine', () => {
})
it('should load model correctly', async () => {
const model: ModelFile = { engine: 'testProvider', file_path: 'path/to/model' } as any
const model: any = { engine: 'testProvider', file_path: 'path/to/model' } as any
const modelFolder = 'path/to'
const systemInfo = { os: 'testOS' }
const res = { error: null }
@ -66,7 +66,7 @@ describe('LocalOAIEngine', () => {
})
it('should handle load model error', async () => {
const model: ModelFile = { engine: 'testProvider', file_path: 'path/to/model' } as any
const model: any = { engine: 'testProvider', file_path: 'path/to/model' } as any
const modelFolder = 'path/to'
const systemInfo = { os: 'testOS' }
const res = { error: 'load error' }
@ -91,9 +91,7 @@ describe('LocalOAIEngine', () => {
it('should not unload model if engine does not match', async () => {
const model: Model = { engine: 'otherProvider' } as any
await engine.unloadModel(model)
expect(executeOnMain).not.toHaveBeenCalled()
expect(events.emit).not.toHaveBeenCalledWith(ModelEvent.OnModelStopped, {})
})

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@ -1,6 +1,6 @@
import { executeOnMain, systemInformation, dirName } from '../../core'
import { executeOnMain, systemInformation, dirName, joinPath, getJanDataFolderPath } from '../../core'
import { events } from '../../events'
import { Model, ModelEvent, ModelFile } from '../../../types'
import { Model, ModelEvent } from '../../../types'
import { OAIEngine } from './OAIEngine'
/**
@ -22,16 +22,16 @@ export abstract class LocalOAIEngine extends OAIEngine {
override onLoad() {
super.onLoad()
// These events are applicable to local inference providers
events.on(ModelEvent.OnModelInit, (model: ModelFile) => this.loadModel(model))
events.on(ModelEvent.OnModelInit, (model: Model) => this.loadModel(model))
events.on(ModelEvent.OnModelStop, (model: Model) => this.unloadModel(model))
}
/**
* Load the model.
*/
override async loadModel(model: ModelFile): Promise<void> {
override async loadModel(model: Model & { file_path?: string }): Promise<void> {
if (model.engine.toString() !== this.provider) return
const modelFolder = await dirName(model.file_path)
const modelFolder = 'file_path' in model && model.file_path ? await dirName(model.file_path) : await this.getModelFilePath(model.id)
const systemInfo = await systemInformation()
const res = await executeOnMain(
this.nodeModule,
@ -63,4 +63,12 @@ export abstract class LocalOAIEngine extends OAIEngine {
events.emit(ModelEvent.OnModelStopped, {})
})
}
/// Legacy
private getModelFilePath = async (
id: string,
): Promise<string> => {
return joinPath([await getJanDataFolderPath(), 'models', id])
}
///
}

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@ -55,7 +55,21 @@ export abstract class OAIEngine extends AIEngine {
* Inference request
*/
override async inference(data: MessageRequest) {
if (data.model?.engine?.toString() !== this.provider) return
if (!data.model?.id) {
events.emit(MessageEvent.OnMessageResponse, {
status: MessageStatus.Error,
content: [
{
type: ContentType.Text,
text: {
value: 'No model ID provided',
annotations: [],
},
},
],
})
return
}
const timestamp = Date.now()
const message: ThreadMessage = {
@ -89,7 +103,6 @@ export abstract class OAIEngine extends AIEngine {
model: model.id,
stream: true,
...model.parameters,
...(this.provider === 'nitro' ? { engine: 'cortex.llamacpp'} : {}),
}
if (this.transformPayload) {
requestBody = this.transformPayload(requestBody)

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@ -10,7 +10,7 @@ export function requestInference(
requestBody: any,
model: {
id: string
parameters: ModelRuntimeParams
parameters?: ModelRuntimeParams
},
controller?: AbortController,
headers?: HeadersInit,
@ -22,7 +22,7 @@ export function requestInference(
headers: {
'Content-Type': 'application/json',
'Access-Control-Allow-Origin': '*',
'Accept': model.parameters.stream ? 'text/event-stream' : 'application/json',
'Accept': model.parameters?.stream ? 'text/event-stream' : 'application/json',
...headers,
},
body: JSON.stringify(requestBody),
@ -45,7 +45,7 @@ export function requestInference(
subscriber.complete()
return
}
if (model.parameters.stream === false) {
if (model.parameters?.stream === false) {
const data = await response.json()
if (transformResponse) {
subscriber.next(transformResponse(data))

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@ -1,13 +1,5 @@
import { BaseExtension, ExtensionTypeEnum } from '../extension'
import {
GpuSetting,
HuggingFaceRepoData,
ImportingModel,
Model,
ModelFile,
ModelInterface,
OptionType,
} from '../../types'
import { Model, ModelInterface, OptionType } from '../../types'
/**
* Model extension for managing models.
@ -20,17 +12,10 @@ export abstract class ModelExtension extends BaseExtension implements ModelInter
return ExtensionTypeEnum.Model
}
abstract downloadModel(
model: Model,
gpuSettings?: GpuSetting,
network?: { proxy: string; ignoreSSL?: boolean }
): Promise<void>
abstract cancelModelDownload(modelId: string): Promise<void>
abstract deleteModel(model: ModelFile): Promise<void>
abstract getDownloadedModels(): Promise<ModelFile[]>
abstract getConfiguredModels(): Promise<ModelFile[]>
abstract importModels(models: ImportingModel[], optionType: OptionType): Promise<void>
abstract updateModelInfo(modelInfo: Partial<ModelFile>): Promise<ModelFile>
abstract fetchHuggingFaceRepoData(repoId: string): Promise<HuggingFaceRepoData>
abstract getDefaultModel(): Promise<Model>
abstract getModels(): Promise<Model[]>
abstract pullModel(model: string, id?: string, name?: string): Promise<void>
abstract cancelModelPull(modelId: string): Promise<void>
abstract importModel(model: string, modePath: string, name?: string, optionType?: OptionType): Promise<void>
abstract updateModel(modelInfo: Partial<Model>): Promise<Model>
abstract deleteModel(model: string): Promise<void>
}

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@ -1,32 +1,37 @@
import * as Core from './core';
import * as Events from './events';
import * as FileSystem from './fs';
import * as Extension from './extension';
import * as Extensions from './extensions';
import * as Tools from './tools';
import * as Core from './core'
import * as Events from './events'
import * as FileSystem from './fs'
import * as Extension from './extension'
import * as Extensions from './extensions'
import * as Tools from './tools'
import * as Models from './models'
describe('Module Tests', () => {
it('should export Core module', () => {
expect(Core).toBeDefined();
});
expect(Core).toBeDefined()
})
it('should export Event module', () => {
expect(Events).toBeDefined();
});
expect(Events).toBeDefined()
})
it('should export Filesystem module', () => {
expect(FileSystem).toBeDefined();
});
expect(FileSystem).toBeDefined()
})
it('should export Extension module', () => {
expect(Extension).toBeDefined();
});
expect(Extension).toBeDefined()
})
it('should export all base extensions', () => {
expect(Extensions).toBeDefined();
});
expect(Extensions).toBeDefined()
})
it('should export all base tools', () => {
expect(Tools).toBeDefined();
});
});
expect(Tools).toBeDefined()
})
it('should export all base tools', () => {
expect(Models).toBeDefined()
})
})

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@ -33,3 +33,9 @@ export * from './extensions'
* @module
*/
export * from './tools'
/**
* Export all base models.
* @module
*/
export * from './models'

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@ -0,0 +1,10 @@
/**
* Export ModelManager
* @module
*/
export { ModelManager } from './manager'
/**
* Export all utils
*/
export * from './utils'

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@ -0,0 +1,47 @@
import { Model, ModelEvent } from '../../types'
import { events } from '../events'
/**
* Manages the registered models across extensions.
*/
export class ModelManager {
public models = new Map<string, Model>()
constructor() {
if (window) {
window.core.modelManager = this
}
}
/**
* Registers a model.
* @param model - The model to register.
*/
register<T extends Model>(model: T) {
if (this.models.has(model.id)) {
this.models.set(model.id, {
...model,
...this.models.get(model.id),
})
} else {
this.models.set(model.id, model)
}
events.emit(ModelEvent.OnModelsUpdate, {})
}
/**
* Retrieves a model by it's id.
* @param id - The id of the model to retrieve.
* @returns The model, if found.
*/
get<T extends Model>(id: string): T | undefined {
return this.models.get(id) as T | undefined
}
/**
* The instance of the tool manager.
*/
static instance(): ModelManager {
return (window.core?.modelManager as ModelManager) ?? new ModelManager()
}
}

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@ -1,7 +1,10 @@
// web/utils/modelParam.test.ts
import { normalizeValue, validationRules } from './modelParam'
import { extractModelLoadParams } from './modelParam';
import { extractInferenceParams } from './modelParam';
import {
normalizeValue,
validationRules,
extractModelLoadParams,
extractInferenceParams,
} from './utils'
describe('validationRules', () => {
it('should validate temperature correctly', () => {
@ -151,13 +154,12 @@ describe('validationRules', () => {
})
})
it('should normalize invalid values for keys not listed in validationRules', () => {
it('should normalize invalid values for keys not listed in validationRules', () => {
expect(normalizeValue('invalid_key', 'invalid')).toBe('invalid')
expect(normalizeValue('invalid_key', 123)).toBe(123)
expect(normalizeValue('invalid_key', true)).toBe(true)
expect(normalizeValue('invalid_key', false)).toBe(false)
})
})
describe('normalizeValue', () => {
it('should normalize ctx_len correctly', () => {
@ -192,19 +194,16 @@ describe('normalizeValue', () => {
})
})
it('should handle invalid values correctly by falling back to originParams', () => {
const modelParams = { temperature: 'invalid', token_limit: -1 }
const originParams = { temperature: 0.5, token_limit: 100 }
expect(extractInferenceParams(modelParams as any, originParams)).toEqual(originParams)
})
it('should handle invalid values correctly by falling back to originParams', () => {
const modelParams = { temperature: 'invalid', token_limit: -1 };
const originParams = { temperature: 0.5, token_limit: 100 };
expect(extractInferenceParams(modelParams, originParams)).toEqual(originParams);
});
it('should return an empty object when no modelParams are provided', () => {
expect(extractModelLoadParams()).toEqual({})
})
it('should return an empty object when no modelParams are provided', () => {
expect(extractModelLoadParams()).toEqual({});
});
it('should return an empty object when no modelParams are provided', () => {
expect(extractInferenceParams()).toEqual({});
});
it('should return an empty object when no modelParams are provided', () => {
expect(extractInferenceParams()).toEqual({})
})

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@ -1,26 +1,20 @@
/* eslint-disable @typescript-eslint/no-explicit-any */
/* eslint-disable @typescript-eslint/naming-convention */
import { ModelRuntimeParams, ModelSettingParams } from '@janhq/core'
import { ModelParams } from '@/types/model'
import { ModelParams, ModelRuntimeParams, ModelSettingParams } from '../../types'
/**
* Validation rules for model parameters
*/
export const validationRules: { [key: string]: (value: any) => boolean } = {
temperature: (value: any) =>
typeof value === 'number' && value >= 0 && value <= 2,
temperature: (value: any) => typeof value === 'number' && value >= 0 && value <= 2,
token_limit: (value: any) => Number.isInteger(value) && value >= 0,
top_k: (value: any) => typeof value === 'number' && value >= 0 && value <= 1,
top_p: (value: any) => typeof value === 'number' && value >= 0 && value <= 1,
stream: (value: any) => typeof value === 'boolean',
max_tokens: (value: any) => Number.isInteger(value) && value >= 0,
stop: (value: any) =>
Array.isArray(value) && value.every((v) => typeof v === 'string'),
frequency_penalty: (value: any) =>
typeof value === 'number' && value >= 0 && value <= 1,
presence_penalty: (value: any) =>
typeof value === 'number' && value >= 0 && value <= 1,
stop: (value: any) => Array.isArray(value) && value.every((v) => typeof v === 'string'),
frequency_penalty: (value: any) => typeof value === 'number' && value >= 0 && value <= 1,
presence_penalty: (value: any) => typeof value === 'number' && value >= 0 && value <= 1,
ctx_len: (value: any) => Number.isInteger(value) && value >= 0,
ngl: (value: any) => Number.isInteger(value) && value >= 0,
@ -76,6 +70,7 @@ export const extractInferenceParams = (
stop: undefined,
frequency_penalty: undefined,
presence_penalty: undefined,
engine: undefined,
}
const runtimeParams: ModelRuntimeParams = {}
@ -119,11 +114,18 @@ export const extractModelLoadParams = (
embedding: undefined,
n_parallel: undefined,
cpu_threads: undefined,
pre_prompt: undefined,
system_prompt: undefined,
ai_prompt: undefined,
user_prompt: undefined,
prompt_template: undefined,
model_path: undefined,
llama_model_path: undefined,
mmproj: undefined,
cont_batching: undefined,
vision_model: undefined,
text_model: undefined,
engine: undefined,
}
const settingParams: ModelSettingParams = {}

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@ -8,7 +8,8 @@ jest.mock('../../helper', () => ({
jest.mock('../../helper/path', () => ({
validatePath: jest.fn().mockReturnValue('path/to/folder'),
normalizeFilePath: () => process.platform === 'win32' ? 'C:\\Users\path\\to\\file.gguf' : '/Users/path/to/file.gguf',
normalizeFilePath: () =>
process.platform === 'win32' ? 'C:\\Users\\path\\to\\file.gguf' : '/Users/path/to/file.gguf',
}))
jest.mock(

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@ -50,11 +50,6 @@ export class Downloader implements Processor {
const initialDownloadState: DownloadState = {
modelId,
fileName,
time: {
elapsed: 0,
remaining: 0,
},
speed: 0,
percent: 0,
size: {
total: 0,

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@ -343,7 +343,7 @@ export const chatCompletions = async (request: any, reply: any) => {
// add engine for new cortex cpp engine
if (requestedModel.engine === 'nitro') {
request.body.engine = 'cortex.llamacpp'
request.body.engine = 'llama-cpp'
}
const fetch = require('node-fetch')

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@ -1,6 +1,5 @@
import { CORTEX_DEFAULT_PORT } from './consts'
import { NITRO_DEFAULT_PORT } from './consts';
it('should test NITRO_DEFAULT_PORT', () => {
expect(NITRO_DEFAULT_PORT).toBe(3928);
});
it('should test CORTEX_DEFAULT_PORT', () => {
expect(CORTEX_DEFAULT_PORT).toBe(39291)
})

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@ -1,19 +1,9 @@
// The PORT to use for the Nitro subprocess
export const NITRO_DEFAULT_PORT = 3928
export const CORTEX_DEFAULT_PORT = 39291
// The HOST address to use for the Nitro subprocess
export const LOCAL_HOST = '127.0.0.1'
export const SUPPORTED_MODEL_FORMAT = '.gguf'
// The URL for the Nitro subprocess
const NITRO_HTTP_SERVER_URL = `http://${LOCAL_HOST}:${NITRO_DEFAULT_PORT}`
// The URL for the Nitro subprocess to load a model
export const NITRO_HTTP_LOAD_MODEL_URL = `${NITRO_HTTP_SERVER_URL}/inferences/server/loadmodel`
// The URL for the Nitro subprocess to validate a model
export const NITRO_HTTP_VALIDATE_MODEL_URL = `${NITRO_HTTP_SERVER_URL}/inferences/server/modelstatus`
// The URL for the Nitro subprocess to kill itself
export const NITRO_HTTP_KILL_URL = `${NITRO_HTTP_SERVER_URL}/processmanager/destroy`
export const DEFAULT_CHAT_COMPLETION_URL = `http://${LOCAL_HOST}:${NITRO_DEFAULT_PORT}/inferences/server/chat_completion` // default nitro url
export const DEFAULT_CHAT_COMPLETION_URL = `http://${LOCAL_HOST}:${CORTEX_DEFAULT_PORT}/v1/chat/completions` // default nitro url

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@ -1,16 +1,10 @@
import { startModel } from './startStopModel'
import { startModel } from './startStopModel'
describe('startModel', () => {
describe('startModel', () => {
it('test_startModel_error', async () => {
const modelId = 'testModelId'
const settingParams = undefined
const result = await startModel(modelId, settingParams)
expect(result).toEqual({
error: expect.any(Error),
})
})
expect(startModel(modelId, settingParams)).resolves.toThrow()
})
})

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@ -1,6 +1,5 @@
import { join } from 'path'
import { getJanDataFolderPath, getJanExtensionsPath, log } from '../../../helper'
import { ModelSettingParams } from '../../../../types'
import { CORTEX_DEFAULT_PORT, LOCAL_HOST } from './consts'
/**
* Start a model
@ -9,70 +8,18 @@ import { ModelSettingParams } from '../../../../types'
* @returns
*/
export const startModel = async (modelId: string, settingParams?: ModelSettingParams) => {
try {
await runModel(modelId, settingParams)
return {
message: `Model ${modelId} started`,
}
} catch (e) {
return {
error: e,
}
}
}
/**
* Run a model using installed cortex extension
* @param model
* @param settingParams
*/
const runModel = async (model: string, settingParams?: ModelSettingParams): Promise<void> => {
const janDataFolderPath = getJanDataFolderPath()
const modelFolder = join(janDataFolderPath, 'models', model)
let module = join(
getJanExtensionsPath(),
'@janhq',
'inference-cortex-extension',
'dist',
'node',
'index.cjs'
)
// Just reuse the cortex extension implementation, don't duplicate then lost of sync
return import(module).then((extension) =>
extension
.loadModel(
{
modelFolder,
model,
},
settingParams
)
.then(() => log(`[SERVER]::Debug: Model is loaded`))
.then({
message: 'Model started',
return fetch(`http://${LOCAL_HOST}:${CORTEX_DEFAULT_PORT}/v1/models/start`, {
method: 'POST',
body: JSON.stringify({ model: modelId, ...settingParams }),
})
)
}
/*
* Stop model and kill nitro process.
* Stop model.
*/
export const stopModel = async (_modelId: string) => {
let module = join(
getJanExtensionsPath(),
'@janhq',
'inference-cortex-extension',
'dist',
'node',
'index.cjs'
)
// Just reuse the cortex extension implementation, don't duplicate then lost of sync
return import(module).then((extension) =>
extension
.unloadModel()
.then(() => log(`[SERVER]::Debug: Model is unloaded`))
.then({
message: 'Model stopped',
export const stopModel = async (modelId: string) => {
return fetch(`http://${LOCAL_HOST}:${CORTEX_DEFAULT_PORT}/v1/models/stop`, {
method: 'POST',
body: JSON.stringify({ model: modelId }),
})
)
}

View File

@ -72,6 +72,8 @@ export enum DownloadEvent {
onFileDownloadUpdate = 'onFileDownloadUpdate',
onFileDownloadError = 'onFileDownloadError',
onFileDownloadSuccess = 'onFileDownloadSuccess',
onFileDownloadStopped = 'onFileDownloadStopped',
onFileDownloadStarted = 'onFileDownloadStarted',
onFileUnzipSuccess = 'onFileUnzipSuccess',
}

View File

@ -6,8 +6,8 @@ export type FileStat = {
export type DownloadState = {
modelId: string // TODO: change to download id
fileName: string
time: DownloadTime
speed: number
time?: DownloadTime
speed?: number
percent: number
size: DownloadSize

View File

@ -6,8 +6,8 @@ import { FileMetadata } from '../file'
*/
export type ModelInfo = {
id: string
settings: ModelSettingParams
parameters: ModelRuntimeParams
settings?: ModelSettingParams
parameters?: ModelRuntimeParams
engine?: InferenceEngine
}
@ -15,7 +15,6 @@ export type ModelInfo = {
* Represents the inference engine.
* @stored
*/
export enum InferenceEngine {
anthropic = 'anthropic',
mistral = 'mistral',
@ -28,11 +27,13 @@ export enum InferenceEngine {
nitro_tensorrt_llm = 'nitro-tensorrt-llm',
cohere = 'cohere',
nvidia = 'nvidia',
cortex_llamacpp = 'cortex.llamacpp',
cortex_onnx = 'cortex.onnx',
cortex_tensorrtllm = 'cortex.tensorrt-llm',
cortex = 'cortex',
cortex_llamacpp = 'llama-cpp',
cortex_onnx = 'onnxruntime',
cortex_tensorrtllm = 'tensorrt-llm',
}
// Represents an artifact of a model, including its filename and URL
export type ModelArtifact = {
filename: string
url: string
@ -104,6 +105,7 @@ export type Model = {
engine: InferenceEngine
}
// Represents metadata associated with a model
export type ModelMetadata = {
author: string
tags: string[]
@ -124,14 +126,20 @@ export type ModelSettingParams = {
n_parallel?: number
cpu_threads?: number
prompt_template?: string
pre_prompt?: string
system_prompt?: string
ai_prompt?: string
user_prompt?: string
// path param
model_path?: string
// legacy path param
llama_model_path?: string
// clip model path
mmproj?: string
cont_batching?: boolean
vision_model?: boolean
text_model?: boolean
engine?: boolean
}
/**
@ -150,11 +158,12 @@ export type ModelRuntimeParams = {
engine?: string
}
// Represents a model that failed to initialize, including the error
export type ModelInitFailed = Model & {
error: Error
}
/**
* ModelFile is the model.json entity and it's file metadata
* ModelParams types
*/
export type ModelFile = Model & FileMetadata
export type ModelParams = ModelRuntimeParams | ModelSettingParams

View File

@ -1,4 +1,4 @@
export type OptionType = 'SYMLINK' | 'MOVE_BINARY_FILE'
export type OptionType = 'symlink' | 'copy'
export type ModelImportOption = {
type: OptionType

View File

@ -1,5 +1,5 @@
import { GpuSetting } from '../miscellaneous'
import { Model, ModelFile } from './modelEntity'
import { Model } from './modelEntity'
import { OptionType } from './modelImport'
/**
* Model extension for managing models.
@ -8,38 +8,46 @@ export interface ModelInterface {
/**
* Downloads a model.
* @param model - The model to download.
* @param network - Optional object to specify proxy/whether to ignore SSL certificates.
* @returns A Promise that resolves when the model has been downloaded.
*/
downloadModel(
model: ModelFile,
gpuSettings?: GpuSetting,
network?: { ignoreSSL?: boolean; proxy?: string }
): Promise<void>
pullModel(model: string, id?: string, name?: string): Promise<void>
/**
* Cancels the download of a specific model.
* @param {string} modelId - The ID of the model to cancel the download for.
* @returns {Promise<void>} A promise that resolves when the download has been cancelled.
*/
cancelModelDownload(modelId: string): Promise<void>
cancelModelPull(model: string): Promise<void>
/**
* Deletes a model.
* @param modelId - The ID of the model to delete.
* @returns A Promise that resolves when the model has been deleted.
*/
deleteModel(model: ModelFile): Promise<void>
deleteModel(model: string): Promise<void>
/**
* Gets a list of downloaded models.
* Gets downloaded models.
* @returns A Promise that resolves with an array of downloaded models.
*/
getDownloadedModels(): Promise<ModelFile[]>
getModels(): Promise<Model[]>
/**
* Gets a list of configured models.
* @returns A Promise that resolves with an array of configured models.
* Update a pulled model's metadata
* @param model - The model to update.
* @returns A Promise that resolves when the model has been updated.
*/
getConfiguredModels(): Promise<ModelFile[]>
updateModel(model: Partial<Model>): Promise<Model>
/**
* Import an existing model file.
* @param model id of the model to import
* @param modelPath - path of the model file
*/
importModel(
model: string,
modePath: string,
name?: string,
optionType?: OptionType
): Promise<void>
}

View File

@ -1,16 +1,13 @@
import * as monitoringInterface from './monitoringInterface'
import * as resourceInfo from './resourceInfo'
import * as monitoringInterface from './monitoringInterface';
import * as resourceInfo from './resourceInfo';
import * as index from './index'
import * as index from './index';
import * as monitoringInterface from './monitoringInterface';
import * as resourceInfo from './resourceInfo';
it('should re-export all symbols from monitoringInterface and resourceInfo', () => {
it('should re-export all symbols from monitoringInterface and resourceInfo', () => {
for (const key in monitoringInterface) {
expect(index[key]).toBe(monitoringInterface[key]);
expect(index[key]).toBe(monitoringInterface[key])
}
for (const key in resourceInfo) {
expect(index[key]).toBe(resourceInfo[key]);
expect(index[key]).toBe(resourceInfo[key])
}
});
})

View File

@ -18,7 +18,8 @@
"docs/**/*",
"scripts/**/*",
"icons/**/*",
"themes"
"themes",
"shared"
],
"asarUnpack": [
"pre-install",
@ -26,7 +27,8 @@
"docs",
"scripts",
"icons",
"themes"
"themes",
"shared"
],
"publish": [
{

0
electron/shared/.gitkeep Normal file
View File

View File

@ -15,6 +15,8 @@ import {
import { Constants } from './constants'
import { HubPage } from '../pages/hubPage'
import { CommonActions } from '../pages/commonActions'
import { rmSync } from 'fs'
import * as path from 'path'
export let electronApp: ElectronApplication
export let page: Page
@ -103,10 +105,14 @@ export const test = base.extend<
},
{ auto: true },
],
})
test.beforeAll(async () => {
await rmSync(path.join(__dirname, '../../test-data'), {
recursive: true,
force: true,
})
test.setTimeout(TIMEOUT)
await setupElectron()
await page.waitForSelector('img[alt="Jan - Logo"]', {

View File

@ -16,7 +16,8 @@ test.beforeAll(async () => {
test('explores hub', async ({ hubPage }) => {
await hubPage.navigateByMenu()
await hubPage.verifyContainerVisible()
const useModelBtn= page.getByTestId(/^use-model-btn-.*/).first()
await hubPage.scrollToBottom()
const useModelBtn = page.getByTestId(/^use-model-btn-.*/).first()
await expect(useModelBtn).toBeVisible({
timeout: TIMEOUT,

View File

@ -8,9 +8,8 @@ export class BasePage {
constructor(
protected readonly page: Page,
readonly action: CommonActions,
protected containerId: string,
) {
}
protected containerId: string
) {}
public getValue(key: string) {
return this.action.getValue(key)
@ -37,6 +36,12 @@ export class BasePage {
expect(container.isVisible()).toBeTruthy()
}
async scrollToBottom() {
await this.page.evaluate(() => {
window.scrollTo(0, document.body.scrollHeight)
})
}
async waitUpdateLoader() {
await this.isElementVisible('img[alt="Jan - Logo"]')
}

View File

@ -63,12 +63,15 @@ export default class JanAssistantExtension extends AssistantExtension {
}
async getAssistants(): Promise<Assistant[]> {
try {
// get all the assistant directories
// get all the assistant metadata json
const results: Assistant[] = []
const allFileName: string[] = await fs.readdirSync(
JanAssistantExtension._homeDir
)
for (const fileName of allFileName) {
const filePath = await joinPath([
JanAssistantExtension._homeDir,
@ -96,6 +99,10 @@ export default class JanAssistantExtension extends AssistantExtension {
}
return results
} catch (err) {
console.debug(err)
return [this.defaultAssistant]
}
}
async deleteAssistant(assistant: Assistant): Promise<void> {
@ -112,7 +119,10 @@ export default class JanAssistantExtension extends AssistantExtension {
}
private async createJanAssistant(): Promise<void> {
const janAssistant: Assistant = {
await this.createAssistant(this.defaultAssistant)
}
private defaultAssistant: Assistant = {
avatar: '',
thread_location: undefined,
id: 'jan',
@ -144,7 +154,4 @@ Helpful Answer:`,
file_ids: [],
metadata: undefined,
}
await this.createAssistant(janAssistant)
}
}

View File

@ -10,8 +10,6 @@ import { HNSWLib } from 'langchain/vectorstores/hnswlib'
import { OpenAIEmbeddings } from 'langchain/embeddings/openai'
import { readEmbeddingEngine } from './engine'
import path from 'path'
export class Retrieval {
public chunkSize: number = 100
public chunkOverlap?: number = 0

View File

@ -0,0 +1 @@
1.0.2-rc4

View File

@ -0,0 +1,41 @@
@echo off
set BIN_PATH=./bin
set SHARED_PATH=./../../electron/shared
set /p CORTEX_VERSION=<./bin/version.txt
@REM Download cortex.llamacpp binaries
set VERSION=v0.1.35
set DOWNLOAD_URL=https://github.com/janhq/cortex.llamacpp/releases/download/%VERSION%/cortex.llamacpp-0.1.35-windows-amd64
set CUDA_DOWNLOAD_URL=https://github.com/janhq/cortex.llamacpp/releases/download/%VERSION%
set SUBFOLDERS=win-cuda-12-0 win-cuda-11-7 win-noavx win-avx win-avx2 win-avx512 win-vulkan
call .\node_modules\.bin\download -e --strip 1 -o %BIN_PATH% https://github.com/janhq/cortex/releases/download/v%CORTEX_VERSION%/cortex-%CORTEX_VERSION%-windows-amd64.tar.gz
call .\node_modules\.bin\download %DOWNLOAD_URL%-avx2-cuda-12-0.tar.gz -e --strip 1 -o %BIN_PATH%/avx2-cuda-12-0/engines/cortex.llamacpp
call .\node_modules\.bin\download %DOWNLOAD_URL%-avx2-cuda-11-7.tar.gz -e --strip 1 -o %BIN_PATH%/avx2-cuda-11-7/engines/cortex.llamacpp
call .\node_modules\.bin\download %DOWNLOAD_URL%-noavx-cuda-12-0.tar.gz -e --strip 1 -o %BIN_PATH%/noavx-cuda-12-0/engines/cortex.llamacpp
call .\node_modules\.bin\download %DOWNLOAD_URL%-noavx-cuda-11-7.tar.gz -e --strip 1 -o %BIN_PATH%/noavx-cuda-11-7/engines/cortex.llamacpp
call .\node_modules\.bin\download %DOWNLOAD_URL%-noavx.tar.gz -e --strip 1 -o %BIN_PATH%/noavx/engines/cortex.llamacpp
call .\node_modules\.bin\download %DOWNLOAD_URL%-avx.tar.gz -e --strip 1 -o %BIN_PATH%/avx/engines/cortex.llamacpp
call .\node_modules\.bin\download %DOWNLOAD_URL%-avx2.tar.gz -e --strip 1 -o %BIN_PATH%/avx2/engines/cortex.llamacpp
call .\node_modules\.bin\download %DOWNLOAD_URL%-avx512.tar.gz -e --strip 1 -o %BIN_PATH%/avx512/engines/cortex.llamacpp
call .\node_modules\.bin\download %DOWNLOAD_URL%-vulkan.tar.gz -e --strip 1 -o %BIN_PATH%/vulkan/engines/cortex.llamacpp
call .\node_modules\.bin\download %CUDA_DOWNLOAD_URL%/cuda-12-0-windows-amd64.tar.gz -e --strip 1 -o %SHARED_PATH%
call .\node_modules\.bin\download %CUDA_DOWNLOAD_URL%/cuda-11-7-windows-amd64.tar.gz -e --strip 1 -o %SHARED_PATH%
move %BIN_PATH%\cortex-server-beta.exe %BIN_PATH%\cortex-server.exe
del %BIN_PATH%\cortex-beta.exe
del %BIN_PATH%\cortex.exe
@REM Loop through each folder and move DLLs (excluding engine.dll)
for %%F in (%SUBFOLDERS%) do (
echo Processing folder: %BIN_PATH%\%%F
@REM Move all .dll files except engine.dll
for %%D in (%BIN_PATH%\%%F\engines\cortex.llamacpp\*.dll) do (
if /I not "%%~nxD"=="engine.dll" (
move "%%D" "%BIN_PATH%"
)
)
)
echo DLL files moved successfully.

View File

@ -0,0 +1,47 @@
#!/bin/bash
# Read CORTEX_VERSION
CORTEX_VERSION=$(cat ./bin/version.txt)
CORTEX_RELEASE_URL="https://github.com/janhq/cortex/releases/download"
ENGINE_DOWNLOAD_URL="https://github.com/janhq/cortex.llamacpp/releases/download/v0.1.35/cortex.llamacpp-0.1.35"
CUDA_DOWNLOAD_URL="https://github.com/janhq/cortex.llamacpp/releases/download/v0.1.35"
# Detect platform
OS_TYPE=$(uname)
if [ "$OS_TYPE" == "Linux" ]; then
# Linux downloads
download "${CORTEX_RELEASE_URL}/v${CORTEX_VERSION}/cortex-${CORTEX_VERSION}-linux-amd64.tar.gz" -e --strip 1 -o "./bin"
mv ./bin/cortex-server-beta ./bin/cortex-server
rm -rf ./bin/cortex
rm -rf ./bin/cortex-beta
chmod +x "./bin/cortex-server"
# Download engines for Linux
download "${ENGINE_DOWNLOAD_URL}-linux-amd64-noavx.tar.gz" -e --strip 1 -o "./bin/noavx/engines/cortex.llamacpp" 1
download "${ENGINE_DOWNLOAD_URL}-linux-amd64-avx.tar.gz" -e --strip 1 -o "./bin/avx/engines/cortex.llamacpp" 1
download "${ENGINE_DOWNLOAD_URL}-linux-amd64-avx2.tar.gz" -e --strip 1 -o "./bin/avx2/engines/cortex.llamacpp" 1
download "${ENGINE_DOWNLOAD_URL}-linux-amd64-avx512.tar.gz" -e --strip 1 -o "./bin/avx512/engines/cortex.llamacpp" 1
download "${ENGINE_DOWNLOAD_URL}-linux-amd64-avx2-cuda-12-0.tar.gz" -e --strip 1 -o "./bin/avx2-cuda-12-0/engines/cortex.llamacpp" 1
download "${ENGINE_DOWNLOAD_URL}-linux-amd64-avx2-cuda-11-7.tar.gz" -e --strip 1 -o "./bin/avx2-cuda-11-7/engines/cortex.llamacpp" 1
download "${ENGINE_DOWNLOAD_URL}-linux-amd64-noavx-cuda-12-0.tar.gz" -e --strip 1 -o "./bin/noavx-cuda-12-0/engines/cortex.llamacpp" 1
download "${ENGINE_DOWNLOAD_URL}-linux-amd64-noavx-cuda-11-7.tar.gz" -e --strip 1 -o "./bin/noavx-cuda-11-7/engines/cortex.llamacpp" 1
download "${ENGINE_DOWNLOAD_URL}-linux-amd64-vulkan.tar.gz" -e --strip 1 -o "./bin/vulkan/engines/cortex.llamacpp" 1
download "${CUDA_DOWNLOAD_URL}/cuda-12-0-linux-amd64.tar.gz" -e --strip 1 -o "../../electron/shared" 1
download "${CUDA_DOWNLOAD_URL}/cuda-11-7-linux-amd64.tar.gz" -e --strip 1 -o "../../electron/shared" 1
elif [ "$OS_TYPE" == "Darwin" ]; then
# macOS downloads
download "${CORTEX_RELEASE_URL}/v${CORTEX_VERSION}/cortex-${CORTEX_VERSION}-mac-universal.tar.gz" -e --strip 1 -o "./bin" 1
mv ./bin/cortex-server-beta ./bin/cortex-server
rm -rf ./bin/cortex
rm -rf ./bin/cortex-beta
chmod +x "./bin/cortex-server"
# Download engines for macOS
download "${ENGINE_DOWNLOAD_URL}-mac-arm64.tar.gz" -e --strip 1 -o ./bin/arm64/engines/cortex.llamacpp
download "${ENGINE_DOWNLOAD_URL}-mac-amd64.tar.gz" -e --strip 1 -o ./bin/x64/engines/cortex.llamacpp
else
echo "Unsupported operating system: $OS_TYPE"
exit 1
fi

View File

@ -10,12 +10,12 @@
"scripts": {
"test": "jest",
"build": "tsc --module commonjs && rollup -c rollup.config.ts",
"downloadnitro:linux:darwin": "./download.sh",
"downloadnitro:win32": "download.bat",
"downloadnitro": "run-script-os",
"build:publish:darwin": "rimraf *.tgz --glob && yarn build && npm run downloadnitro && ../../.github/scripts/auto-sign.sh && cpx \"bin/**\" \"dist/bin\" && npm pack && cpx *.tgz ../../pre-install",
"build:publish:win32:linux": "rimraf *.tgz --glob && yarn build && npm run downloadnitro && cpx \"bin/**\" \"dist/bin\" && npm pack && cpx *.tgz ../../pre-install",
"build:publish": "yarn test && run-script-os"
"downloadcortex:linux:darwin": "./download.sh",
"downloadcortex:win32": "download.bat",
"downloadcortex": "run-script-os",
"build:publish:darwin": "rimraf *.tgz --glob && yarn build && npm run downloadcortex && ../../.github/scripts/auto-sign.sh && cpx \"bin/**\" \"dist/bin\" && npm pack && cpx *.tgz ../../pre-install",
"build:publish:win32:linux": "rimraf *.tgz --glob && yarn build && npm run downloadcortex && cpx \"bin/**\" \"dist/bin\" && npm pack && cpx *.tgz ../../pre-install",
"build:publish": "run-script-os"
},
"exports": {
".": "./dist/index.js",
@ -50,6 +50,8 @@
"cpu-instructions": "^0.0.13",
"decompress": "^4.2.1",
"fetch-retry": "^5.0.6",
"ky": "^1.7.2",
"p-queue": "^8.0.1",
"rxjs": "^7.8.1",
"tcp-port-used": "^1.0.2",
"terminate": "2.6.1",

View File

@ -31,5 +31,5 @@
"tags": ["34B", "Finetuned"],
"size": 21556982144
},
"engine": "nitro"
"engine": "llama-cpp"
}

View File

@ -31,5 +31,5 @@
"tags": ["7B", "Finetuned"],
"size": 5056982144
},
"engine": "nitro"
"engine": "llama-cpp"
}

View File

@ -31,5 +31,5 @@
"tags": ["Vision"],
"size": 5750000000
},
"engine": "nitro"
"engine": "llama-cpp"
}

View File

@ -30,5 +30,5 @@
"tags": ["7B", "Finetuned"],
"size": 4370000000
},
"engine": "nitro"
"engine": "llama-cpp"
}

View File

@ -31,6 +31,6 @@
"tags": ["22B", "Finetuned", "Featured"],
"size": 13341237440
},
"engine": "nitro"
"engine": "llama-cpp"
}

View File

@ -31,6 +31,6 @@
"tags": ["34B", "Finetuned"],
"size": 21500000000
},
"engine": "nitro"
"engine": "llama-cpp"
}

View File

@ -31,5 +31,5 @@
"tags": ["2B", "Finetuned", "Tiny"],
"size": 1630000000
},
"engine": "nitro"
"engine": "llama-cpp"
}

View File

@ -31,5 +31,5 @@
"tags": ["7B", "Finetuned"],
"size": 5330000000
},
"engine": "nitro"
"engine": "llama-cpp"
}

View File

@ -31,5 +31,5 @@
"tags": ["70B", "Foundational Model"],
"size": 43920000000
},
"engine": "nitro"
"engine": "llama-cpp"
}

View File

@ -31,5 +31,5 @@
"tags": ["7B", "Foundational Model"],
"size": 4080000000
},
"engine": "nitro"
"engine": "llama-cpp"
}

View File

@ -31,5 +31,5 @@
"tags": ["1B", "Featured"],
"size": 1320000000
},
"engine": "nitro"
"engine": "llama-cpp"
}

View File

@ -31,5 +31,5 @@
"tags": ["3B", "Featured"],
"size": 3420000000
},
"engine": "nitro"
"engine": "llama-cpp"
}

View File

@ -32,5 +32,5 @@
"tags": ["Vision"],
"size": 7870000000
},
"engine": "nitro"
"engine": "llama-cpp"
}

View File

@ -32,5 +32,5 @@
"tags": ["Vision"],
"size": 4370000000
},
"engine": "nitro"
"engine": "llama-cpp"
}

View File

@ -32,5 +32,5 @@
"size": 4370000000,
"cover": "https://raw.githubusercontent.com/janhq/jan/dev/models/mistral-ins-7b-q4/cover.png"
},
"engine": "nitro"
"engine": "llama-cpp"
}

View File

@ -30,5 +30,5 @@
"tags": ["70B", "Foundational Model"],
"size": 26440000000
},
"engine": "nitro"
"engine": "llama-cpp"
}

View File

@ -31,5 +31,5 @@
"tags": ["7B", "Finetuned"],
"size": 4370000000
},
"engine": "nitro"
"engine": "llama-cpp"
}

View File

@ -31,5 +31,5 @@
"tags": ["Recommended", "7B", "Finetuned"],
"size": 4370000000
},
"engine": "nitro"
"engine": "llama-cpp"
}

View File

@ -31,5 +31,5 @@
"tags": ["34B", "Finetuned"],
"size": 20220000000
},
"engine": "nitro"
"engine": "llama-cpp"
}

View File

@ -31,5 +31,5 @@
"tags": ["7B", "Finetuned"],
"size": 4770000000
},
"engine": "nitro"
"engine": "llama-cpp"
}

View File

@ -31,6 +31,6 @@
"tags": ["7B", "Finetuned"],
"size": 4680000000
},
"engine": "nitro"
"engine": "llama-cpp"
}

View File

@ -31,6 +31,6 @@
"tags": ["14B", "Featured"],
"size": 8990000000
},
"engine": "nitro"
"engine": "llama-cpp"
}

View File

@ -31,6 +31,6 @@
"tags": ["7B", "Featured"],
"size": 4680000000
},
"engine": "nitro"
"engine": "llama-cpp"
}

View File

@ -31,6 +31,6 @@
"tags": ["7B", "Featured"],
"size": 4680000000
},
"engine": "nitro"
"engine": "llama-cpp"
}

View File

@ -31,5 +31,5 @@
"tags": ["3B", "Finetuned", "Tiny"],
"size": 2970000000
},
"engine": "nitro"
"engine": "llama-cpp"
}

View File

@ -30,5 +30,5 @@
"tags": ["7B", "Finetuned"],
"size": 4370000000
},
"engine": "nitro"
"engine": "llama-cpp"
}

View File

@ -31,5 +31,5 @@
"tags": ["Tiny", "Foundation Model"],
"size": 669000000
},
"engine": "nitro"
"engine": "llama-cpp"
}

View File

@ -31,5 +31,5 @@
"size": 4370000000,
"cover": "https://raw.githubusercontent.com/janhq/jan/dev/models/trinity-v1.2-7b/cover.png"
},
"engine": "nitro"
"engine": "llama-cpp"
}

View File

@ -31,6 +31,6 @@
"tags": ["7B", "Finetuned"],
"size": 4410000000
},
"engine": "nitro"
"engine": "llama-cpp"
}

View File

@ -31,5 +31,5 @@
"tags": ["Recommended", "13B", "Finetuned"],
"size": 7870000000
},
"engine": "nitro"
"engine": "llama-cpp"
}

View File

@ -31,5 +31,5 @@
"tags": ["34B", "Foundational Model"],
"size": 20660000000
},
"engine": "nitro"
"engine": "llama-cpp"
}

View File

@ -114,19 +114,7 @@ export default [
]),
NODE: JSON.stringify(`${packageJson.name}/${packageJson.node}`),
DEFAULT_SETTINGS: JSON.stringify(defaultSettingJson),
INFERENCE_URL: JSON.stringify(
process.env.INFERENCE_URL ||
'http://127.0.0.1:3928/inferences/server/chat_completion'
),
TROUBLESHOOTING_URL: JSON.stringify(
'https://jan.ai/guides/troubleshooting'
),
JAN_SERVER_INFERENCE_URL: JSON.stringify(
'http://localhost:1337/v1/chat/completions'
),
CUDA_DOWNLOAD_URL: JSON.stringify(
'https://catalog.jan.ai/dist/cuda-dependencies/<version>/<platform>/cuda.tar.gz'
),
CORTEX_API_URL: JSON.stringify('http://127.0.0.1:39291'),
}),
// Allow json resolution
json(),

View File

@ -1,7 +1,5 @@
declare const NODE: string
declare const INFERENCE_URL: string
declare const TROUBLESHOOTING_URL: string
declare const JAN_SERVER_INFERENCE_URL: string
declare const CORTEX_API_URL: string
declare const DEFAULT_SETTINGS: Array<any>
declare const MODELS: Array<any>

View File

@ -0,0 +1,168 @@
/**
* @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 {
Model,
executeOnMain,
systemInformation,
joinPath,
dirName,
LocalOAIEngine,
InferenceEngine,
getJanDataFolderPath,
extractModelLoadParams,
} from '@janhq/core'
import PQueue from 'p-queue'
import ky from 'ky'
/**
* 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 JanInferenceCortexExtension extends LocalOAIEngine {
// DEPRECATED
nodeModule: string = 'node'
queue = new PQueue({ concurrency: 1 })
provider: string = InferenceEngine.cortex
/**
* The URL for making inference requests.
*/
inferenceUrl = `${CORTEX_API_URL}/v1/chat/completions`
/**
* Subscribes to events emitted by the @janhq/core package.
*/
async onLoad() {
const models = MODELS as Model[]
this.registerModels(models)
super.onLoad()
// Run the process watchdog
const systemInfo = await systemInformation()
await this.clean()
await executeOnMain(NODE, 'run', systemInfo)
this.queue.add(() => this.healthz())
window.addEventListener('beforeunload', () => {
this.clean()
})
}
onUnload(): void {
this.clean()
executeOnMain(NODE, 'dispose')
super.onUnload()
}
override async loadModel(
model: Model & { file_path?: string }
): Promise<void> {
if (
model.engine === InferenceEngine.nitro &&
model.settings.llama_model_path
) {
// Legacy chat model support
model.settings = {
...model.settings,
llama_model_path: await getModelFilePath(
model,
model.settings.llama_model_path
),
}
} else {
const { llama_model_path, ...settings } = model.settings
model.settings = settings
}
if (model.engine === InferenceEngine.nitro && model.settings.mmproj) {
// Legacy clip vision model support
model.settings = {
...model.settings,
mmproj: await getModelFilePath(model, model.settings.mmproj),
}
} else {
const { mmproj, ...settings } = model.settings
model.settings = settings
}
return await ky
.post(`${CORTEX_API_URL}/v1/models/start`, {
json: {
...extractModelLoadParams(model.settings),
model: model.id,
engine:
model.engine === InferenceEngine.nitro // Legacy model cache
? InferenceEngine.cortex_llamacpp
: model.engine,
},
})
.json()
.catch(async (e) => {
throw (await e.response?.json()) ?? e
})
.then()
}
override async unloadModel(model: Model): Promise<void> {
return ky
.post(`${CORTEX_API_URL}/v1/models/stop`, {
json: { model: model.id },
})
.json()
.then()
}
/**
* Do health check on cortex.cpp
* @returns
*/
healthz(): Promise<void> {
return ky
.get(`${CORTEX_API_URL}/healthz`, {
retry: {
limit: 10,
methods: ['get'],
},
})
.then(() => {})
}
/**
* Clean cortex processes
* @returns
*/
clean(): Promise<any> {
return ky
.delete(`${CORTEX_API_URL}/processmanager/destroy`, {
timeout: 2000, // maximum 2 seconds
})
.catch(() => {
// Do nothing
})
}
}
/// Legacy
export const getModelFilePath = async (
model: Model,
file: string
): Promise<string> => {
// Symlink to the model file
if (!model.sources[0]?.url.startsWith('http')) {
return model.sources[0]?.url
}
return joinPath([await getJanDataFolderPath(), 'models', model.id, file])
}
///

View File

@ -1,5 +1,5 @@
import { describe, expect, it } from '@jest/globals'
import { executableNitroFile } from './execute'
import { executableCortexFile } from './execute'
import { GpuSetting } from '@janhq/core'
import { cpuInfo } from 'cpu-instructions'
@ -27,10 +27,10 @@ jest.mock('cpu-instructions', () => ({
cpuInfo: jest.fn(),
},
}))
let mock = cpuInfo.cpuInfo as jest.Mock
mock.mockReturnValue([])
let mockCpuInfo = cpuInfo.cpuInfo as jest.Mock
mockCpuInfo.mockReturnValue([])
describe('test executable nitro file', () => {
describe('test executable cortex file', () => {
afterAll(function () {
Object.defineProperty(process, 'platform', {
value: originalPlatform,
@ -44,10 +44,14 @@ describe('test executable nitro file', () => {
Object.defineProperty(process, 'arch', {
value: 'arm64',
})
expect(executableNitroFile(testSettings)).toEqual(
expect(executableCortexFile(testSettings)).toEqual(
expect.objectContaining({
enginePath: expect.stringContaining(`mac-arm64`),
executablePath: originalPlatform === 'darwin' ? expect.stringContaining(`mac-arm64/cortex-cpp`) : expect.anything(),
enginePath: expect.stringContaining(`arm64`),
binPath: expect.stringContaining(`bin`),
executablePath:
originalPlatform === 'darwin'
? expect.stringContaining(`cortex-server`)
: expect.anything(),
cudaVisibleDevices: '',
vkVisibleDevices: '',
})
@ -55,10 +59,14 @@ describe('test executable nitro file', () => {
Object.defineProperty(process, 'arch', {
value: 'x64',
})
expect(executableNitroFile(testSettings)).toEqual(
expect(executableCortexFile(testSettings)).toEqual(
expect.objectContaining({
enginePath: expect.stringContaining(`mac-x64`),
executablePath: originalPlatform === 'darwin' ? expect.stringContaining(`mac-x64/cortex-cpp`) : expect.anything(),
enginePath: expect.stringContaining(`x64`),
binPath: expect.stringContaining(`bin`),
executablePath:
originalPlatform === 'darwin'
? expect.stringContaining(`cortex-server`)
: expect.anything(),
cudaVisibleDevices: '',
vkVisibleDevices: '',
})
@ -73,10 +81,12 @@ describe('test executable nitro file', () => {
...testSettings,
run_mode: 'cpu',
}
expect(executableNitroFile(settings)).toEqual(
mockCpuInfo.mockReturnValue(['avx'])
expect(executableCortexFile(settings)).toEqual(
expect.objectContaining({
enginePath: expect.stringContaining(`win`),
executablePath: expect.stringContaining(`cortex-cpp.exe`),
enginePath: expect.stringContaining(`avx`),
binPath: expect.stringContaining(`bin`),
executablePath: expect.stringContaining(`cortex-server.exe`),
cudaVisibleDevices: '',
vkVisibleDevices: '',
})
@ -107,10 +117,12 @@ describe('test executable nitro file', () => {
},
],
}
expect(executableNitroFile(settings)).toEqual(
mockCpuInfo.mockReturnValue(['avx2'])
expect(executableCortexFile(settings)).toEqual(
expect.objectContaining({
enginePath: expect.stringContaining(`win-cuda-11-7`),
executablePath: expect.stringContaining(`cortex-cpp.exe`),
enginePath: expect.stringContaining(`avx2-cuda-11-7`),
binPath: expect.stringContaining(`bin`),
executablePath: expect.stringContaining(`cortex-server.exe`),
cudaVisibleDevices: '0',
vkVisibleDevices: '0',
})
@ -141,10 +153,12 @@ describe('test executable nitro file', () => {
},
],
}
expect(executableNitroFile(settings)).toEqual(
mockCpuInfo.mockReturnValue(['noavx'])
expect(executableCortexFile(settings)).toEqual(
expect.objectContaining({
enginePath: expect.stringContaining(`win-cuda-12-0`),
executablePath: expect.stringContaining(`cortex-cpp.exe`),
enginePath: expect.stringContaining(`noavx-cuda-12-0`),
binPath: expect.stringContaining(`bin`),
executablePath: expect.stringContaining(`cortex-server.exe`),
cudaVisibleDevices: '0',
vkVisibleDevices: '0',
})
@ -159,10 +173,11 @@ describe('test executable nitro file', () => {
...testSettings,
run_mode: 'cpu',
}
expect(executableNitroFile(settings)).toEqual(
mockCpuInfo.mockReturnValue(['noavx'])
expect(executableCortexFile(settings)).toEqual(
expect.objectContaining({
enginePath: expect.stringContaining(`linux`),
executablePath: expect.stringContaining(`cortex-cpp`),
enginePath: expect.stringContaining(`noavx`),
executablePath: expect.stringContaining(`cortex-server`),
cudaVisibleDevices: '',
vkVisibleDevices: '',
})
@ -193,10 +208,11 @@ describe('test executable nitro file', () => {
},
],
}
expect(executableNitroFile(settings)).toEqual(
expect(executableCortexFile(settings)).toEqual(
expect.objectContaining({
enginePath: expect.stringContaining(`linux-cuda-11-7`),
executablePath: expect.stringContaining(`cortex-cpp`),
enginePath: expect.stringContaining(`cuda-11-7`),
binPath: expect.stringContaining(`bin`),
executablePath: expect.stringContaining(`cortex-server`),
cudaVisibleDevices: '0',
vkVisibleDevices: '0',
})
@ -227,10 +243,11 @@ describe('test executable nitro file', () => {
},
],
}
expect(executableNitroFile(settings)).toEqual(
expect(executableCortexFile(settings)).toEqual(
expect.objectContaining({
enginePath: expect.stringContaining(`linux-cuda-12-0`),
executablePath: expect.stringContaining(`cortex-cpp`),
enginePath: expect.stringContaining(`cuda-12-0`),
binPath: expect.stringContaining(`bin`),
executablePath: expect.stringContaining(`cortex-server`),
cudaVisibleDevices: '0',
vkVisibleDevices: '0',
})
@ -249,12 +266,13 @@ describe('test executable nitro file', () => {
const cpuInstructions = ['avx512', 'avx2', 'avx', 'noavx']
cpuInstructions.forEach((instruction) => {
mock.mockReturnValue([instruction])
mockCpuInfo.mockReturnValue([instruction])
expect(executableNitroFile(settings)).toEqual(
expect(executableCortexFile(settings)).toEqual(
expect.objectContaining({
enginePath: expect.stringContaining(`linux-${instruction}`),
executablePath: expect.stringContaining(`cortex-cpp`),
enginePath: expect.stringContaining(instruction),
binPath: expect.stringContaining(`bin`),
executablePath: expect.stringContaining(`cortex-server`),
cudaVisibleDevices: '',
vkVisibleDevices: '',
@ -273,11 +291,12 @@ describe('test executable nitro file', () => {
}
const cpuInstructions = ['avx512', 'avx2', 'avx', 'noavx']
cpuInstructions.forEach((instruction) => {
mock.mockReturnValue([instruction])
expect(executableNitroFile(settings)).toEqual(
mockCpuInfo.mockReturnValue([instruction])
expect(executableCortexFile(settings)).toEqual(
expect.objectContaining({
enginePath: expect.stringContaining(`win-${instruction}`),
executablePath: expect.stringContaining(`cortex-cpp.exe`),
enginePath: expect.stringContaining(instruction),
binPath: expect.stringContaining(`bin`),
executablePath: expect.stringContaining(`cortex-server.exe`),
cudaVisibleDevices: '',
vkVisibleDevices: '',
})
@ -312,11 +331,12 @@ describe('test executable nitro file', () => {
}
const cpuInstructions = ['avx512', 'avx2', 'avx', 'noavx']
cpuInstructions.forEach((instruction) => {
mock.mockReturnValue([instruction])
expect(executableNitroFile(settings)).toEqual(
mockCpuInfo.mockReturnValue([instruction])
expect(executableCortexFile(settings)).toEqual(
expect.objectContaining({
enginePath: expect.stringContaining(`win-cuda-12-0`),
executablePath: expect.stringContaining(`cortex-cpp.exe`),
enginePath: expect.stringContaining(`cuda-12-0`),
binPath: expect.stringContaining(`bin`),
executablePath: expect.stringContaining(`cortex-server.exe`),
cudaVisibleDevices: '0',
vkVisibleDevices: '0',
})
@ -351,11 +371,12 @@ describe('test executable nitro file', () => {
],
}
cpuInstructions.forEach((instruction) => {
mock.mockReturnValue([instruction])
expect(executableNitroFile(settings)).toEqual(
mockCpuInfo.mockReturnValue([instruction])
expect(executableCortexFile(settings)).toEqual(
expect.objectContaining({
enginePath: expect.stringContaining(`linux-cuda-12-0`),
executablePath: expect.stringContaining(`cortex-cpp`),
enginePath: expect.stringContaining(`cuda-12-0`),
binPath: expect.stringContaining(`bin`),
executablePath: expect.stringContaining(`cortex-server`),
cudaVisibleDevices: '0',
vkVisibleDevices: '0',
})
@ -391,11 +412,12 @@ describe('test executable nitro file', () => {
],
}
cpuInstructions.forEach((instruction) => {
mock.mockReturnValue([instruction])
expect(executableNitroFile(settings)).toEqual(
mockCpuInfo.mockReturnValue([instruction])
expect(executableCortexFile(settings)).toEqual(
expect.objectContaining({
enginePath: expect.stringContaining(`linux-vulkan`),
executablePath: expect.stringContaining(`cortex-cpp`),
enginePath: expect.stringContaining(`vulkan`),
binPath: expect.stringContaining(`bin`),
executablePath: expect.stringContaining(`cortex-server`),
cudaVisibleDevices: '0',
vkVisibleDevices: '0',
})
@ -417,11 +439,15 @@ describe('test executable nitro file', () => {
...testSettings,
run_mode: 'cpu',
}
mock.mockReturnValue([])
expect(executableNitroFile(settings)).toEqual(
mockCpuInfo.mockReturnValue([])
expect(executableCortexFile(settings)).toEqual(
expect.objectContaining({
enginePath: expect.stringContaining(`mac-x64`),
executablePath: originalPlatform === 'darwin' ? expect.stringContaining(`mac-x64/cortex-cpp`) : expect.anything(),
enginePath: expect.stringContaining(`x64`),
binPath: expect.stringContaining(`bin`),
executablePath:
originalPlatform === 'darwin'
? expect.stringContaining(`cortex-server`)
: expect.anything(),
cudaVisibleDevices: '',
vkVisibleDevices: '',
})

View File

@ -2,8 +2,9 @@ import { GpuSetting } from '@janhq/core'
import * as path from 'path'
import { cpuInfo } from 'cpu-instructions'
export interface NitroExecutableOptions {
export interface CortexExecutableOptions {
enginePath: string
binPath: string
executablePath: string
cudaVisibleDevices: string
vkVisibleDevices: string
@ -36,8 +37,8 @@ const os = (): string => {
? 'win'
: process.platform === 'darwin'
? process.arch === 'arm64'
? 'mac-arm64'
: 'mac-x64'
? 'arm64'
: 'x64'
: 'linux'
}
@ -66,7 +67,7 @@ const cudaVersion = (settings?: GpuSetting): '11-7' | '12-0' | undefined => {
* The CPU instructions that will be set - either 'avx512', 'avx2', 'avx', or 'noavx'.
* @returns
*/
const cpuInstructions = () => {
const cpuInstructions = (): string => {
if (process.platform === 'darwin') return ''
return cpuInfo.cpuInfo().some((e) => e.toUpperCase() === 'AVX512')
? 'avx512'
@ -81,29 +82,32 @@ const cpuInstructions = () => {
* Find which executable file to run based on the current platform.
* @returns The name of the executable file to run.
*/
export const executableNitroFile = (
export const executableCortexFile = (
gpuSetting?: GpuSetting
): NitroExecutableOptions => {
let engineFolder = [
os(),
...(gpuSetting?.vulkan
? []
): CortexExecutableOptions => {
const cpuInstruction = cpuInstructions()
let engineFolder = gpuSetting?.vulkan
? 'vulkan'
: process.platform === 'darwin'
? os()
: [
gpuRunMode(gpuSetting) !== 'cuda' ? cpuInstructions() : '',
gpuRunMode(gpuSetting) !== 'cuda' ||
cpuInstruction === 'avx2' || cpuInstruction === 'avx512'
? cpuInstruction
: 'noavx',
gpuRunMode(gpuSetting),
cudaVersion(gpuSetting),
]),
gpuSetting?.vulkan ? 'vulkan' : undefined,
]
.filter((e) => !!e)
.join('-')
let cudaVisibleDevices = gpuSetting?.gpus_in_use.join(',') ?? ''
let vkVisibleDevices = gpuSetting?.gpus_in_use.join(',') ?? ''
let binaryName = `${process.platform === 'darwin' ? `${os()}/` : ''}cortex-cpp${extension()}`
let binaryName = `cortex-server${extension()}`
const binPath = path.join(__dirname, '..', 'bin')
return {
enginePath: path.join(__dirname, '..', 'bin', engineFolder),
executablePath: path.join(__dirname, '..', 'bin', binaryName),
enginePath: path.join(binPath, engineFolder),
executablePath: path.join(binPath, binaryName),
binPath: binPath,
cudaVisibleDevices,
vkVisibleDevices,
}

View File

@ -0,0 +1,94 @@
jest.mock('@janhq/core/node', () => ({
...jest.requireActual('@janhq/core/node'),
getJanDataFolderPath: () => '',
getSystemResourceInfo: () => {
return {
cpu: {
cores: 1,
logicalCores: 1,
threads: 1,
model: 'model',
speed: 1,
},
memory: {
total: 1,
free: 1,
},
gpu: {
model: 'model',
memory: 1,
cuda: {
version: 'version',
devices: 'devices',
},
vulkan: {
version: 'version',
devices: 'devices',
},
},
}
},
}))
jest.mock('fs', () => ({
default: {
readdirSync: () => [],
},
}))
jest.mock('child_process', () => ({
exec: () => {
return {
stdout: { on: jest.fn() },
stderr: { on: jest.fn() },
on: jest.fn(),
}
},
spawn: () => {
return {
stdout: { on: jest.fn() },
stderr: { on: jest.fn() },
on: jest.fn(),
pid: '111',
}
},
}))
jest.mock('./execute', () => ({
executableCortexFile: () => {
return {
enginePath: 'enginePath',
executablePath: 'executablePath',
cudaVisibleDevices: 'cudaVisibleDevices',
vkVisibleDevices: 'vkVisibleDevices',
}
},
}))
import index from './index'
describe('dispose', () => {
it('should dispose a model successfully on Mac', async () => {
Object.defineProperty(process, 'platform', {
value: 'darwin',
})
// Call the dispose function
const result = await index.dispose()
// Assert that the result is as expected
expect(result).toBeUndefined()
})
it('should kill the subprocess successfully on Windows', async () => {
Object.defineProperty(process, 'platform', {
value: 'win32',
})
// Call the killSubprocess function
const result = await index.dispose()
// Assert that the result is as expected
expect(result).toBeUndefined()
})
})

View File

@ -0,0 +1,103 @@
import path from 'path'
import { getJanDataFolderPath, log, SystemInformation } from '@janhq/core/node'
import { executableCortexFile } from './execute'
import { ProcessWatchdog } from './watchdog'
import { appResourcePath } from '@janhq/core/node'
// The HOST address to use for the Nitro subprocess
const LOCAL_PORT = '39291'
let watchdog: ProcessWatchdog | undefined = undefined
/**
* Spawns a Nitro subprocess.
* @returns A promise that resolves when the Nitro subprocess is started.
*/
function run(systemInfo?: SystemInformation): Promise<any> {
log(`[CORTEX]:: Spawning cortex subprocess...`)
return new Promise<void>(async (resolve, reject) => {
let executableOptions = executableCortexFile(
// If ngl is not set or equal to 0, run on CPU with correct instructions
systemInfo?.gpuSetting
? {
...systemInfo.gpuSetting,
run_mode: systemInfo.gpuSetting.run_mode,
}
: undefined
)
// Execute the binary
log(`[CORTEX]:: Spawn cortex at path: ${executableOptions.executablePath}`)
log(`[CORTEX]:: Cortex engine path: ${executableOptions.enginePath}`)
addEnvPaths(path.join(appResourcePath(), 'shared'))
addEnvPaths(executableOptions.binPath)
addEnvPaths(executableOptions.enginePath)
const dataFolderPath = getJanDataFolderPath()
watchdog = new ProcessWatchdog(
executableOptions.executablePath,
[
'--start-server',
'--port',
LOCAL_PORT.toString(),
'--config_file_path',
`${path.join(dataFolderPath, '.janrc')}`,
'--data_folder_path',
dataFolderPath,
],
{
cwd: executableOptions.enginePath,
env: {
...process.env,
ENGINE_PATH: executableOptions.enginePath,
CUDA_VISIBLE_DEVICES: executableOptions.cudaVisibleDevices,
// Vulkan - Support 1 device at a time for now
...(executableOptions.vkVisibleDevices?.length > 0 && {
GGML_VULKAN_DEVICE: executableOptions.vkVisibleDevices[0],
}),
},
}
)
watchdog.start()
resolve()
})
}
/**
* Every module should have a dispose function
* This will be called when the extension is unloaded and should clean up any resources
* Also called when app is closed
*/
function dispose() {
watchdog?.terminate()
}
function addEnvPaths(dest: string) {
// Add engine path to the PATH and LD_LIBRARY_PATH
if (process.platform === 'win32') {
process.env.PATH = (process.env.PATH || '').concat(
path.delimiter,
dest,
)
log(`[CORTEX] PATH: ${process.env.PATH}`)
} else {
process.env.LD_LIBRARY_PATH = (process.env.LD_LIBRARY_PATH || '').concat(
path.delimiter,
dest,
)
log(`[CORTEX] LD_LIBRARY_PATH: ${process.env.LD_LIBRARY_PATH}`)
}
}
/**
* Cortex process info
*/
export interface CortexProcessInfo {
isRunning: boolean
}
export default {
run,
dispose,
}

View File

@ -0,0 +1,84 @@
import { log } from '@janhq/core/node'
import { spawn, ChildProcess } from 'child_process'
import { EventEmitter } from 'events'
interface WatchdogOptions {
cwd?: string
restartDelay?: number
maxRestarts?: number
env?: NodeJS.ProcessEnv
}
export class ProcessWatchdog extends EventEmitter {
private command: string
private args: string[]
private options: WatchdogOptions
private process: ChildProcess | null
private restartDelay: number
private maxRestarts: number
private restartCount: number
private isTerminating: boolean
constructor(command: string, args: string[], options: WatchdogOptions = {}) {
super()
this.command = command
this.args = args
this.options = options
this.process = null
this.restartDelay = options.restartDelay || 5000
this.maxRestarts = options.maxRestarts || 5
this.restartCount = 0
this.isTerminating = false
}
start(): void {
this.spawnProcess()
}
private spawnProcess(): void {
if (this.isTerminating) return
log(`Starting process: ${this.command} ${this.args.join(' ')}`)
this.process = spawn(this.command, this.args, this.options)
this.process.stdout?.on('data', (data: Buffer) => {
log(`Process output: ${data}`)
this.emit('output', data.toString())
})
this.process.stderr?.on('data', (data: Buffer) => {
log(`Process error: ${data}`)
this.emit('error', data.toString())
})
this.process.on('close', (code: number | null) => {
log(`Process exited with code ${code}`)
this.emit('close', code)
if (!this.isTerminating) {
this.restartProcess()
}
})
}
private restartProcess(): void {
if (this.restartCount < this.maxRestarts) {
this.restartCount++
log(
`Restarting process in ${this.restartDelay}ms (Attempt ${this.restartCount}/${this.maxRestarts})`
)
setTimeout(() => this.spawnProcess(), this.restartDelay)
} else {
log('Max restart attempts reached. Exiting watchdog.')
this.emit('maxRestartsReached')
}
}
terminate(): void {
this.isTerminating = true
if (this.process) {
log('Terminating watched process...')
this.process.kill()
}
this.emit('terminated')
}
}

View File

@ -1,9 +1,8 @@
{
"compilerOptions": {
"moduleResolution": "node",
"target": "ES2015",
"module": "ES2020",
"lib": ["es2015", "es2016", "es2017", "dom"],
"target": "es2016",
"module": "esnext",
"strict": true,
"sourceMap": true,
"declaration": true,

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