/** * @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 llamacpp-extension/src/index */ import { AIEngine, getJanDataFolderPath, fs, joinPath, modelInfo, SessionInfo, UnloadResult, chatCompletion, chatCompletionChunk, ImportOptions, chatCompletionRequest, events, } from '@janhq/core' import { error, info, warn } from '@tauri-apps/plugin-log' import { listSupportedBackends, downloadBackend, isBackendInstalled, getBackendExePath, } from './backend' import { invoke } from '@tauri-apps/api/core' import { getProxyConfig } from './util' import { basename } from '@tauri-apps/api/path' type LlamacppConfig = { version_backend: string auto_update_engine: boolean auto_unload: boolean chat_template: string n_gpu_layers: number ctx_size: number threads: number threads_batch: number n_predict: number batch_size: number ubatch_size: number device: string split_mode: string main_gpu: number flash_attn: boolean cont_batching: boolean no_mmap: boolean mlock: boolean no_kv_offload: boolean cache_type_k: string cache_type_v: string defrag_thold: number rope_scaling: string rope_scale: number rope_freq_base: number rope_freq_scale: number ctx_shift: boolean } interface DownloadItem { url: string save_path: string proxy?: Record } interface ModelConfig { model_path: string mmproj_path?: string name: string // user-friendly // some model info that we cache upon import size_bytes: number } interface EmbeddingResponse { model: string object: string usage: { prompt_tokens: number total_tokens: number } data: EmbeddingData[] } interface EmbeddingData { embedding: number[] index: number object: string } interface DeviceList { id: string name: string mem: number free: number } /** * Override the default app.log function to use Jan's logging system. * @param args */ const logger = { info: function (...args: any[]) { console.log(...args) info(args.map((arg) => ` ${arg}`).join(` `)) }, warn: function (...args: any[]) { console.warn(...args) warn(args.map((arg) => ` ${arg}`).join(` `)) }, error: function (...args: any[]) { console.error(...args) error(args.map((arg) => ` ${arg}`).join(` `)) }, } /** * 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. */ // Folder structure for llamacpp extension: // /llamacpp // - models// // - model.yml (required) // - model.gguf (optional, present if downloaded from URL) // - mmproj.gguf (optional, present if mmproj exists and it was downloaded from URL) // Contents of model.yml can be found in ModelConfig interface // // - backends/// // - build/bin/llama-server (or llama-server.exe on Windows) // // - lib/ // - e.g. libcudart.so.12 export default class llamacpp_extension extends AIEngine { provider: string = 'llamacpp' autoUnload: boolean = true readonly providerId: string = 'llamacpp' private config: LlamacppConfig private activeSessions: Map = new Map() private providerPath!: string private apiSecret: string = 'JustAskNow' private pendingDownloads: Map> = new Map() private isConfiguringBackends: boolean = false private loadingModels = new Map>() // Track loading promises override async onLoad(): Promise { super.onLoad() // Calls registerEngine() from AIEngine let settings = structuredClone(SETTINGS) // Clone to modify settings definition before registration // This makes the settings (including the backend options and initial value) available to the Jan UI. this.registerSettings(settings) let loadedConfig: any = {} for (const item of settings) { const defaultValue = item.controllerProps.value // Use the potentially updated default value from the settings array as the fallback for getSetting loadedConfig[item.key] = await this.getSetting( item.key, defaultValue ) } this.config = loadedConfig as LlamacppConfig this.autoUnload = this.config.auto_unload // This sets the base directory where model files for this provider are stored. this.providerPath = await joinPath([ await getJanDataFolderPath(), this.providerId, ]) this.configureBackends() } private getStoredBackendType(): string | null { try { return localStorage.getItem('llama_cpp_backend_type') } catch (error) { logger.warn('Failed to read backend type from localStorage:', error) return null } } private setStoredBackendType(backendType: string): void { try { localStorage.setItem('llama_cpp_backend_type', backendType) logger.info(`Stored backend type preference: ${backendType}`) } catch (error) { logger.warn('Failed to store backend type in localStorage:', error) } } private clearStoredBackendType(): void { try { localStorage.removeItem('llama_cpp_backend_type') logger.info('Cleared stored backend type preference') } catch (error) { logger.warn('Failed to clear backend type from localStorage:', error) } } private findLatestVersionForBackend( version_backends: { version: string; backend: string }[], backendType: string ): string | null { const matchingBackends = version_backends.filter( (vb) => vb.backend === backendType ) if (matchingBackends.length === 0) { return null } // Sort by version (newest first) and get the latest matchingBackends.sort((a, b) => b.version.localeCompare(a.version)) return `${matchingBackends[0].version}/${matchingBackends[0].backend}` } async configureBackends(): Promise { if (this.isConfiguringBackends) { logger.info( 'configureBackends already in progress, skipping duplicate call' ) return } this.isConfiguringBackends = true try { let version_backends: { version: string; backend: string }[] = [] try { version_backends = await listSupportedBackends() if (version_backends.length === 0) { throw new Error( 'No supported backend binaries found for this system. Backend selection and auto-update will be unavailable.' ) } else { version_backends.sort((a, b) => b.version.localeCompare(a.version)) } } catch (error) { throw new Error( `Failed to fetch supported backends: ${ error instanceof Error ? error.message : error }` ) } // Get stored backend preference const storedBackendType = this.getStoredBackendType() let bestAvailableBackendString = '' if (storedBackendType) { // Find the latest version of the stored backend type const preferredBackendString = this.findLatestVersionForBackend( version_backends, storedBackendType ) if (preferredBackendString) { bestAvailableBackendString = preferredBackendString logger.info( `Using stored backend preference: ${bestAvailableBackendString}` ) } else { logger.warn( `Stored backend type '${storedBackendType}' not available, falling back to best backend` ) // Clear the invalid stored preference this.clearStoredBackendType() bestAvailableBackendString = this.determineBestBackend(version_backends) } } else { bestAvailableBackendString = this.determineBestBackend(version_backends) } let settings = structuredClone(SETTINGS) const backendSettingIndex = settings.findIndex( (item) => item.key === 'version_backend' ) let originalDefaultBackendValue = '' if (backendSettingIndex !== -1) { const backendSetting = settings[backendSettingIndex] originalDefaultBackendValue = backendSetting.controllerProps .value as string backendSetting.controllerProps.options = version_backends.map((b) => { const key = `${b.version}/${b.backend}` return { value: key, name: key } }) const savedBackendSetting = await this.getSetting( 'version_backend', originalDefaultBackendValue ) // Determine initial UI default based on priority: // 1. Saved setting (if valid and not original default) // 2. Best available for stored backend type // 3. Original default let initialUiDefault = originalDefaultBackendValue if ( savedBackendSetting && savedBackendSetting !== originalDefaultBackendValue ) { initialUiDefault = savedBackendSetting // Store the backend type from the saved setting only if different const [, backendType] = savedBackendSetting.split('/') if (backendType) { const currentStoredBackend = this.getStoredBackendType() if (currentStoredBackend !== backendType) { this.setStoredBackendType(backendType) logger.info( `Stored backend type preference from saved setting: ${backendType}` ) } } } else if (bestAvailableBackendString) { initialUiDefault = bestAvailableBackendString // Store the backend type from the best available only if different const [, backendType] = bestAvailableBackendString.split('/') if (backendType) { const currentStoredBackend = this.getStoredBackendType() if (currentStoredBackend !== backendType) { this.setStoredBackendType(backendType) logger.info( `Stored backend type preference from best available: ${backendType}` ) } } } backendSetting.controllerProps.value = initialUiDefault logger.info( `Initial UI default for version_backend set to: ${initialUiDefault}` ) } else { logger.error( 'Critical setting "version_backend" definition not found in SETTINGS.' ) throw new Error('Critical setting "version_backend" not found.') } this.registerSettings(settings) let effectiveBackendString = this.config.version_backend let backendWasDownloaded = false // Handle fresh installation case where version_backend might be 'none' or invalid if ( !effectiveBackendString || effectiveBackendString === 'none' || !effectiveBackendString.includes('/') ) { effectiveBackendString = bestAvailableBackendString logger.info( `Fresh installation or invalid backend detected, using: ${effectiveBackendString}` ) // Update the config immediately this.config.version_backend = effectiveBackendString // Update the settings to reflect the change in UI const updatedSettings = await this.getSettings() await this.updateSettings( updatedSettings.map((item) => { if (item.key === 'version_backend') { item.controllerProps.value = effectiveBackendString } return item }) ) logger.info(`Updated UI settings to show: ${effectiveBackendString}`) } // Download and install the backend if not already present if (effectiveBackendString) { const [version, backend] = effectiveBackendString.split('/') if (version && backend) { const isInstalled = await isBackendInstalled(backend, version) if (!isInstalled) { logger.info(`Installing initial backend: ${effectiveBackendString}`) await this.ensureBackendReady(backend, version) backendWasDownloaded = true logger.info( `Successfully installed initial backend: ${effectiveBackendString}` ) } } } if (this.config.auto_update_engine) { const updateResult = await this.handleAutoUpdate( bestAvailableBackendString ) if (updateResult.wasUpdated) { effectiveBackendString = updateResult.newBackend backendWasDownloaded = true } } if (!backendWasDownloaded && effectiveBackendString) { await this.ensureFinalBackendInstallation(effectiveBackendString) } } finally { this.isConfiguringBackends = false } } private determineBestBackend( version_backends: { version: string; backend: string }[] ): string { if (version_backends.length === 0) return '' // Priority list for backend types (more specific/performant ones first) const backendPriorities: string[] = [ 'cuda-cu12.0', 'cuda-cu11.7', 'vulkan', 'avx512', 'avx2', 'avx', 'noavx', 'arm64', 'x64', ] // Helper to map backend string to a priority category const getBackendCategory = (backendString: string): string | undefined => { if (backendString.includes('cu12.0')) return 'cuda-cu12.0' if (backendString.includes('cu11.7')) return 'cuda-cu11.7' if (backendString.includes('vulkan')) return 'vulkan' if (backendString.includes('avx512')) return 'avx512' if (backendString.includes('avx2')) return 'avx2' if ( backendString.includes('avx') && !backendString.includes('avx2') && !backendString.includes('avx512') ) return 'avx' if (backendString.includes('noavx')) return 'noavx' if (backendString.endsWith('arm64')) return 'arm64' if (backendString.endsWith('x64')) return 'x64' return undefined } let foundBestBackend: { version: string; backend: string } | undefined for (const priorityCategory of backendPriorities) { const matchingBackends = version_backends.filter((vb) => { const category = getBackendCategory(vb.backend) return category === priorityCategory }) if (matchingBackends.length > 0) { foundBestBackend = matchingBackends[0] logger.info( `Determined best available backend: ${foundBestBackend.version}/${foundBestBackend.backend} (Category: "${priorityCategory}")` ) break } } if (foundBestBackend) { return `${foundBestBackend.version}/${foundBestBackend.backend}` } else { // Fallback to newest version return `${version_backends[0].version}/${version_backends[0].backend}` } } private async handleAutoUpdate( bestAvailableBackendString: string ): Promise<{ wasUpdated: boolean; newBackend: string }> { logger.info( `Auto-update engine is enabled. Current backend: ${this.config.version_backend}. Best available: ${bestAvailableBackendString}` ) if (!bestAvailableBackendString) { logger.warn( 'Auto-update enabled, but no best available backend determined' ) return { wasUpdated: false, newBackend: this.config.version_backend } } // If version_backend is empty, invalid, or 'none', use the best available backend if ( !this.config.version_backend || this.config.version_backend === '' || this.config.version_backend === 'none' || !this.config.version_backend.includes('/') ) { logger.info( 'No valid backend currently selected, using best available backend' ) try { const [bestVersion, bestBackend] = bestAvailableBackendString.split('/') // Download new backend await this.ensureBackendReady(bestBackend, bestVersion) // Add delay on Windows if (IS_WINDOWS) { await new Promise((resolve) => setTimeout(resolve, 1000)) } // Update configuration this.config.version_backend = bestAvailableBackendString // Store the backend type preference only if it changed const currentStoredBackend = this.getStoredBackendType() if (currentStoredBackend !== bestBackend) { this.setStoredBackendType(bestBackend) logger.info(`Stored new backend type preference: ${bestBackend}`) } // Update settings const settings = await this.getSettings() await this.updateSettings( settings.map((item) => { if (item.key === 'version_backend') { item.controllerProps.value = bestAvailableBackendString } return item }) ) logger.info( `Successfully set initial backend: ${bestAvailableBackendString}` ) return { wasUpdated: true, newBackend: bestAvailableBackendString } } catch (error) { logger.error('Failed to set initial backend:', error) return { wasUpdated: false, newBackend: this.config.version_backend } } } // Parse current backend configuration const [currentVersion, currentBackend] = ( this.config.version_backend || '' ).split('/') if (!currentVersion || !currentBackend) { logger.warn( `Invalid current backend format: ${this.config.version_backend}` ) return { wasUpdated: false, newBackend: this.config.version_backend } } // Find the latest version for the currently selected backend type const version_backends = await listSupportedBackends() const targetBackendString = this.findLatestVersionForBackend( version_backends, currentBackend ) if (!targetBackendString) { logger.warn( `No available versions found for current backend type: ${currentBackend}` ) return { wasUpdated: false, newBackend: this.config.version_backend } } const [latestVersion] = targetBackendString.split('/') // Check if update is needed (only version comparison for same backend type) if (currentVersion === latestVersion) { logger.info( 'Auto-update: Already using the latest version of the selected backend' ) return { wasUpdated: false, newBackend: this.config.version_backend } } // Perform version update for the same backend type try { logger.info( `Auto-updating from ${this.config.version_backend} to ${targetBackendString} (preserving backend type)` ) // Download new version of the same backend type await this.ensureBackendReady(currentBackend, latestVersion) // Add delay on Windows if (IS_WINDOWS) { await new Promise((resolve) => setTimeout(resolve, 1000)) } // Update configuration this.config.version_backend = targetBackendString // Update stored backend type preference only if it changed const currentStoredBackend = this.getStoredBackendType() if (currentStoredBackend !== currentBackend) { this.setStoredBackendType(currentBackend) logger.info(`Updated stored backend type preference: ${currentBackend}`) } // Update settings const settings = await this.getSettings() await this.updateSettings( settings.map((item) => { if (item.key === 'version_backend') { item.controllerProps.value = targetBackendString } return item }) ) logger.info( `Successfully updated to backend: ${targetBackendString} (preserved backend type: ${currentBackend})` ) // Emit for updating fe if (events && typeof events.emit === 'function') { logger.info( `Emitting settingsChanged event for version_backend with value: ${targetBackendString}` ) events.emit('settingsChanged', { key: 'version_backend', value: targetBackendString, }) } // Clean up old versions of the same backend type if (IS_WINDOWS) { await new Promise((resolve) => setTimeout(resolve, 500)) } await this.removeOldBackend(latestVersion, currentBackend) return { wasUpdated: true, newBackend: targetBackendString } } catch (error) { logger.error('Auto-update failed:', error) return { wasUpdated: false, newBackend: this.config.version_backend } } } private async removeOldBackend( latestVersion: string, backendType: string ): Promise { try { const janDataFolderPath = await getJanDataFolderPath() const backendsDir = await joinPath([ janDataFolderPath, 'llamacpp', 'backends', ]) if (!(await fs.existsSync(backendsDir))) { return } const versionDirs = await fs.readdirSync(backendsDir) for (const versionDir of versionDirs) { const versionPath = await joinPath([backendsDir, versionDir]) const versionName = await basename(versionDir) // Skip the latest version if (versionName === latestVersion) { continue } // Check if this version has the specific backend type we're interested in const backendTypePath = await joinPath([versionPath, backendType]) if (await fs.existsSync(backendTypePath)) { const isInstalled = await isBackendInstalled(backendType, versionName) if (isInstalled) { try { await fs.rm(backendTypePath) logger.info( `Removed old version of ${backendType}: ${backendTypePath}` ) } catch (e) { logger.warn( `Failed to remove old backend version: ${backendTypePath}`, e ) } } } } } catch (error) { logger.error('Error during old backend version cleanup:', error) } } private async ensureFinalBackendInstallation( backendString: string ): Promise { if (!backendString) { logger.warn('No backend specified for final installation check') return } const [selectedVersion, selectedBackend] = backendString .split('/') .map((part) => part?.trim()) if (!selectedVersion || !selectedBackend) { logger.warn(`Invalid backend format: ${backendString}`) return } try { const isInstalled = await isBackendInstalled( selectedBackend, selectedVersion ) if (!isInstalled) { logger.info(`Final check: Installing backend ${backendString}`) await this.ensureBackendReady(selectedBackend, selectedVersion) logger.info(`Successfully installed backend: ${backendString}`) } else { logger.info( `Final check: Backend ${backendString} is already installed` ) } } catch (error) { logger.error( `Failed to ensure backend ${backendString} installation:`, error ) throw error // Re-throw as this is critical } } async getProviderPath(): Promise { if (!this.providerPath) { this.providerPath = await joinPath([ await getJanDataFolderPath(), this.providerId, ]) } return this.providerPath } override async onUnload(): Promise { // Terminate all active sessions for (const [_, sInfo] of this.activeSessions) { try { await this.unload(sInfo.model_id) } catch (error) { logger.error(`Failed to unload model ${sInfo.model_id}:`, error) } } // Clear the sessions map this.activeSessions.clear() } onSettingUpdate(key: string, value: T): void { this.config[key] = value if (key === 'version_backend') { const valueStr = value as string const [version, backend] = valueStr.split('/') // Store the backend type preference in localStorage only if it changed if (backend) { const currentStoredBackend = this.getStoredBackendType() if (currentStoredBackend !== backend) { this.setStoredBackendType(backend) logger.info(`Updated backend type preference to: ${backend}`) } } // Reset device setting when backend changes this.config.device = '' const closure = async () => { await this.ensureBackendReady(backend, version) } closure() } else if (key === 'auto_unload') { this.autoUnload = value as boolean } } private async generateApiKey(modelId: string, port: string): Promise { const hash = await invoke('generate_api_key', { modelId: modelId + port, apiSecret: this.apiSecret, }) return hash } // Implement the required LocalProvider interface methods override async list(): Promise { const modelsDir = await joinPath([await this.getProviderPath(), 'models']) if (!(await fs.existsSync(modelsDir))) { await fs.mkdir(modelsDir) } await this.migrateLegacyModels() let modelIds: string[] = [] // DFS let stack = [modelsDir] while (stack.length > 0) { const currentDir = stack.pop() // check if model.yml exists const modelConfigPath = await joinPath([currentDir, 'model.yml']) if (await fs.existsSync(modelConfigPath)) { // +1 to remove the leading slash // NOTE: this does not handle Windows path \\ modelIds.push(currentDir.slice(modelsDir.length + 1)) continue } // otherwise, look into subdirectories const children = await fs.readdirSync(currentDir) for (const child of children) { // skip files const dirInfo = await fs.fileStat(child) if (!dirInfo.isDirectory) { continue } stack.push(child) } } let modelInfos: modelInfo[] = [] for (const modelId of modelIds) { const path = await joinPath([modelsDir, modelId, 'model.yml']) const modelConfig = await invoke('read_yaml', { path }) const modelInfo = { id: modelId, name: modelConfig.name ?? modelId, quant_type: undefined, // TODO: parse quantization type from model.yml or model.gguf providerId: this.provider, port: 0, // port is not known until the model is loaded sizeBytes: modelConfig.size_bytes ?? 0, } as modelInfo modelInfos.push(modelInfo) } return modelInfos } private async migrateLegacyModels() { // Attempt to migrate only once if (localStorage.getItem('cortex_models_migrated') === 'true') return const janDataFolderPath = await getJanDataFolderPath() const modelsDir = await joinPath([janDataFolderPath, 'models']) if (!(await fs.existsSync(modelsDir))) return // DFS let stack = [modelsDir] while (stack.length > 0) { const currentDir = stack.pop() const files = await fs.readdirSync(currentDir) for (const child of files) { try { const childPath = await joinPath([currentDir, child]) const stat = await fs.fileStat(childPath) if ( files.some((e) => e.endsWith('model.yml')) && !child.endsWith('model.yml') ) continue if (!stat.isDirectory && child.endsWith('.yml')) { // check if model.yml exists const modelConfigPath = child if (await fs.existsSync(modelConfigPath)) { const legacyModelConfig = await invoke<{ files: string[] model: string }>('read_yaml', { path: modelConfigPath, }) const legacyModelPath = legacyModelConfig.files?.[0] if (!legacyModelPath) continue // +1 to remove the leading slash // NOTE: this does not handle Windows path \\ let modelId = currentDir.slice(modelsDir.length + 1) modelId = modelId !== 'imported' ? modelId.replace(/^(cortex\.so|huggingface\.co)[\/\\]/, '') : (await basename(child)).replace('.yml', '') const modelName = legacyModelConfig.model ?? modelId const configPath = await joinPath([ await this.getProviderPath(), 'models', modelId, 'model.yml', ]) if (await fs.existsSync(configPath)) continue // Don't reimport // this is relative to Jan's data folder const modelDir = `${this.providerId}/models/${modelId}` let size_bytes = ( await fs.fileStat( await joinPath([janDataFolderPath, legacyModelPath]) ) ).size const modelConfig = { model_path: legacyModelPath, mmproj_path: undefined, // legacy models do not have mmproj name: modelName, size_bytes, } as ModelConfig await fs.mkdir(await joinPath([janDataFolderPath, modelDir])) await invoke('write_yaml', { data: modelConfig, savePath: configPath, }) continue } } } catch (error) { console.error(`Error migrating model ${child}:`, error) } } // otherwise, look into subdirectories const children = await fs.readdirSync(currentDir) for (const child of children) { // skip files const dirInfo = await fs.fileStat(child) if (!dirInfo.isDirectory) { continue } stack.push(child) } } localStorage.setItem('cortex_models_migrated', 'true') } override async import(modelId: string, opts: ImportOptions): Promise { const isValidModelId = (id: string) => { // only allow alphanumeric, underscore, hyphen, and dot characters in modelId if (!/^[a-zA-Z0-9/_\-\.]+$/.test(id)) return false // check for empty parts or path traversal const parts = id.split('/') return parts.every((s) => s !== '' && s !== '.' && s !== '..') } if (!isValidModelId(modelId)) throw new Error( `Invalid modelId: ${modelId}. Only alphanumeric and / _ - . characters are allowed.` ) const configPath = await joinPath([ await this.getProviderPath(), 'models', modelId, 'model.yml', ]) if (await fs.existsSync(configPath)) throw new Error(`Model ${modelId} already exists`) // this is relative to Jan's data folder const modelDir = `${this.providerId}/models/${modelId}` // we only use these from opts // opts.modelPath: URL to the model file // opts.mmprojPath: URL to the mmproj file let downloadItems: DownloadItem[] = [] const maybeDownload = async (path: string, saveName: string) => { // if URL, add to downloadItems, and return local path if (path.startsWith('https://')) { const localPath = `${modelDir}/${saveName}` downloadItems.push({ url: path, save_path: localPath, proxy: getProxyConfig(), }) return localPath } // if local file (absolute path), check if it exists // and return the path if (!(await fs.existsSync(path))) throw new Error(`File not found: ${path}`) return path } let modelPath = await maybeDownload(opts.modelPath, 'model.gguf') let mmprojPath = opts.mmprojPath ? await maybeDownload(opts.mmprojPath, 'mmproj.gguf') : undefined if (downloadItems.length > 0) { let downloadCompleted = false try { // emit download update event on progress const onProgress = (transferred: number, total: number) => { events.emit('onFileDownloadUpdate', { modelId, percent: transferred / total, size: { transferred, total }, downloadType: 'Model', }) downloadCompleted = transferred === total } const downloadManager = window.core.extensionManager.getByName( '@janhq/download-extension' ) await downloadManager.downloadFiles( downloadItems, this.createDownloadTaskId(modelId), onProgress ) const eventName = downloadCompleted ? 'onFileDownloadSuccess' : 'onFileDownloadStopped' events.emit(eventName, { modelId, downloadType: 'Model' }) } catch (error) { logger.error('Error downloading model:', modelId, opts, error) events.emit('onFileDownloadError', { modelId, downloadType: 'Model' }) throw error } } // TODO: check if files are valid GGUF files // NOTE: modelPath and mmprojPath can be either relative to Jan's data folder (if they are downloaded) // or absolute paths (if they are provided as local files) const janDataFolderPath = await getJanDataFolderPath() let size_bytes = ( await fs.fileStat(await joinPath([janDataFolderPath, modelPath])) ).size if (mmprojPath) { size_bytes += ( await fs.fileStat(await joinPath([janDataFolderPath, mmprojPath])) ).size } // TODO: add name as import() argument // TODO: add updateModelConfig() method const modelConfig = { model_path: modelPath, mmproj_path: mmprojPath, name: modelId, size_bytes, } as ModelConfig await fs.mkdir(await joinPath([janDataFolderPath, modelDir])) await invoke('write_yaml', { data: modelConfig, savePath: configPath, }) } override async abortImport(modelId: string): Promise { // prepand provider name to avoid name collision const taskId = this.createDownloadTaskId(modelId) const downloadManager = window.core.extensionManager.getByName( '@janhq/download-extension' ) await downloadManager.cancelDownload(taskId) } /** * Function to find a random port */ private async getRandomPort(): Promise { const MAX_ATTEMPTS = 20000 let attempts = 0 while (attempts < MAX_ATTEMPTS) { const port = Math.floor(Math.random() * 1000) + 3000 const isAlreadyUsed = Array.from(this.activeSessions.values()).some( (info) => info.port === port ) if (!isAlreadyUsed) { const isAvailable = await invoke('is_port_available', { port }) if (isAvailable) return port } attempts++ } throw new Error('Failed to find an available port for the model to load') } private async sleep(ms: number): Promise { return new Promise((resolve) => setTimeout(resolve, ms)) } private async waitForModelLoad( sInfo: SessionInfo, timeoutMs = 240_000 ): Promise { await this.sleep(500) // Wait before first check const start = Date.now() while (Date.now() - start < timeoutMs) { try { const res = await fetch(`http://localhost:${sInfo.port}/health`) if (res.status === 503) { const body = await res.json() const msg = body?.error?.message ?? 'Model loading' logger.info(`waiting for model load... (${msg})`) } else if (res.ok) { const body = await res.json() if (body.status === 'ok') { return } else { logger.warn('Unexpected OK response from /health:', body) } } else { logger.warn(`Unexpected status ${res.status} from /health`) } } catch (e) { await this.unload(sInfo.model_id) throw new Error(`Model appears to have crashed: ${e}`) } await this.sleep(800) // Retry interval } await this.unload(sInfo.model_id) throw new Error( `Timed out loading model after ${timeoutMs}... killing llamacpp` ) } override async load( modelId: string, overrideSettings?: Partial, isEmbedding: boolean = false ): Promise { const sInfo = this.findSessionByModel(modelId) if (sInfo) { throw new Error('Model already loaded!!') } // If this model is already being loaded, return the existing promise if (this.loadingModels.has(modelId)) { return this.loadingModels.get(modelId)! } // Create the loading promise const loadingPromise = this.performLoad( modelId, overrideSettings, isEmbedding ) this.loadingModels.set(modelId, loadingPromise) try { const result = await loadingPromise return result } finally { this.loadingModels.delete(modelId) } } private async performLoad( modelId: string, overrideSettings?: Partial, isEmbedding: boolean = false ): Promise { const loadedModels = await this.getLoadedModels() // Get OTHER models that are currently loading (exclude current model) const otherLoadingPromises = Array.from(this.loadingModels.entries()) .filter(([id, _]) => id !== modelId) .map(([_, promise]) => promise) if ( this.autoUnload && (loadedModels.length > 0 || otherLoadingPromises.length > 0) ) { // Wait for OTHER loading models to finish, then unload everything if (otherLoadingPromises.length > 0) { await Promise.all(otherLoadingPromises) } // Now unload all loaded models const allLoadedModels = await this.getLoadedModels() if (allLoadedModels.length > 0) { await Promise.all(allLoadedModels.map((model) => this.unload(model))) } } const args: string[] = [] const cfg = { ...this.config, ...(overrideSettings ?? {}) } const [version, backend] = cfg.version_backend.split('/') if (!version || !backend) { throw new Error( `Invalid version/backend format: ${cfg.version_backend}. Expected format: /` ) } // Ensure backend is downloaded and ready before proceeding await this.ensureBackendReady(backend, version) const janDataFolderPath = await getJanDataFolderPath() const modelConfigPath = await joinPath([ this.providerPath, 'models', modelId, 'model.yml', ]) const modelConfig = await invoke('read_yaml', { path: modelConfigPath, }) const port = await this.getRandomPort() // disable llama-server webui args.push('--no-webui') const api_key = await this.generateApiKey(modelId, String(port)) args.push('--api-key', api_key) // model option is required // NOTE: model_path and mmproj_path can be either relative to Jan's data folder or absolute path const modelPath = await joinPath([ janDataFolderPath, modelConfig.model_path, ]) args.push('--jinja') args.push('--reasoning-format', 'none') args.push('-m', modelPath) args.push('-a', modelId) args.push('--port', String(port)) if (modelConfig.mmproj_path) { const mmprojPath = await joinPath([ janDataFolderPath, modelConfig.mmproj_path, ]) args.push('--mmproj', mmprojPath) } // Add remaining options from the interface if (cfg.chat_template) args.push('--chat-template', cfg.chat_template) const gpu_layers = parseInt(String(cfg.n_gpu_layers)) >= 0 ? cfg.n_gpu_layers : 100 args.push('-ngl', String(gpu_layers)) if (cfg.threads > 0) args.push('--threads', String(cfg.threads)) if (cfg.threads_batch > 0) args.push('--threads-batch', String(cfg.threads_batch)) if (cfg.batch_size > 0) args.push('--batch-size', String(cfg.batch_size)) if (cfg.ubatch_size > 0) args.push('--ubatch-size', String(cfg.ubatch_size)) if (cfg.device.length > 0) args.push('--device', cfg.device) if (cfg.split_mode.length > 0 && cfg.split_mode != 'layer') args.push('--split-mode', cfg.split_mode) if (cfg.main_gpu !== undefined && cfg.main_gpu != 0) args.push('--main-gpu', String(cfg.main_gpu)) // Boolean flags if (!cfg.ctx_shift) args.push('--no-context-shift') if (cfg.flash_attn) args.push('--flash-attn') if (cfg.cont_batching) args.push('--cont-batching') args.push('--no-mmap') if (cfg.mlock) args.push('--mlock') if (cfg.no_kv_offload) args.push('--no-kv-offload') if (isEmbedding) { args.push('--embedding') args.push('--pooling mean') } else { if (cfg.ctx_size > 0) args.push('--ctx-size', String(cfg.ctx_size)) if (cfg.n_predict > 0) args.push('--n-predict', String(cfg.n_predict)) if (cfg.cache_type_k && cfg.cache_type_k != 'f16') args.push('--cache-type-k', cfg.cache_type_k) if ( cfg.flash_attn && (cfg.cache_type_v != 'f16' && cfg.cache_type_v != 'f32') ) { args.push('--cache-type-v', cfg.cache_type_v) } if (cfg.defrag_thold && cfg.defrag_thold != 0.1) args.push('--defrag-thold', String(cfg.defrag_thold)) if (cfg.rope_scaling && cfg.rope_scaling != 'none') args.push('--rope-scaling', cfg.rope_scaling) if (cfg.rope_scale && cfg.rope_scale != 1) args.push('--rope-scale', String(cfg.rope_scale)) if (cfg.rope_freq_base && cfg.rope_freq_base != 0) args.push('--rope-freq-base', String(cfg.rope_freq_base)) if (cfg.rope_freq_scale && cfg.rope_freq_scale != 1) args.push('--rope-freq-scale', String(cfg.rope_freq_scale)) } logger.info('Calling Tauri command llama_load with args:', args) const backendPath = await getBackendExePath(backend, version) const libraryPath = await joinPath([await this.getProviderPath(), 'lib']) try { // TODO: add LIBRARY_PATH const sInfo = await invoke('load_llama_model', { backendPath, libraryPath, args, }) // Store the session info for later use this.activeSessions.set(sInfo.pid, sInfo) await this.waitForModelLoad(sInfo) return sInfo } catch (error) { logger.error('Error loading llama-server:\n', error) throw new Error(`Failed to load llama-server: ${error}`) } } override async unload(modelId: string): Promise { const sInfo: SessionInfo = this.findSessionByModel(modelId) if (!sInfo) { throw new Error(`No active session found for model: ${modelId}`) } const pid = sInfo.pid try { this.activeSessions.delete(pid) // Pass the PID as the session_id const result = await invoke('unload_llama_model', { pid: pid, }) // If successful, remove from active sessions if (result.success) { logger.info(`Successfully unloaded model with PID ${pid}`) } else { logger.warn(`Failed to unload model: ${result.error}`) this.activeSessions.set(sInfo.pid, sInfo) } return result } catch (error) { logger.error('Error in unload command:', error) this.activeSessions.set(sInfo.pid, sInfo) return { success: false, error: `Failed to unload model: ${error}`, } } } private createDownloadTaskId(modelId: string) { // prepend provider to make taksId unique across providers const cleanModelId = modelId.includes('.') ? modelId.slice(0, modelId.indexOf('.')) : modelId return `${this.provider}/${cleanModelId}` } private async ensureBackendReady( backend: string, version: string ): Promise { const backendKey = `${version}/${backend}` // Check if backend is already installed const isInstalled = await isBackendInstalled(backend, version) if (isInstalled) { return } // Check if download is already in progress if (this.pendingDownloads.has(backendKey)) { logger.info( `Backend ${backendKey} download already in progress, waiting...` ) await this.pendingDownloads.get(backendKey) return } // Start new download logger.info(`Backend ${backendKey} not installed, downloading...`) const downloadPromise = downloadBackend(backend, version).finally(() => { this.pendingDownloads.delete(backendKey) }) this.pendingDownloads.set(backendKey, downloadPromise) await downloadPromise logger.info(`Backend ${backendKey} download completed`) } private async *handleStreamingResponse( url: string, headers: HeadersInit, body: string, abortController?: AbortController ): AsyncIterable { const response = await fetch(url, { method: 'POST', headers, body, signal: abortController?.signal, }) if (!response.ok) { const errorData = await response.json().catch(() => null) throw new Error( `API request failed with status ${response.status}: ${JSON.stringify( errorData )}` ) } if (!response.body) { throw new Error('Response body is null') } const reader = response.body.getReader() const decoder = new TextDecoder('utf-8') let buffer = '' let jsonStr = '' try { while (true) { const { done, value } = await reader.read() if (done) { break } buffer += decoder.decode(value, { stream: true }) // Process complete lines in the buffer const lines = buffer.split('\n') buffer = lines.pop() || '' // Keep the last incomplete line in the buffer for (const line of lines) { const trimmedLine = line.trim() if (!trimmedLine || trimmedLine === 'data: [DONE]') { continue } if (trimmedLine.startsWith('data: ')) { jsonStr = trimmedLine.slice(6) } else if (trimmedLine.startsWith('error: ')) { jsonStr = trimmedLine.slice(7) const error = JSON.parse(jsonStr) throw new Error(error.message) } else { // it should not normally reach here throw new Error('Malformed chunk') } try { const data = JSON.parse(jsonStr) const chunk = data as chatCompletionChunk yield chunk } catch (e) { logger.error('Error parsing JSON from stream or server error:', e) // re‑throw so the async iterator terminates with an error throw e } } } } finally { reader.releaseLock() } } private findSessionByModel(modelId: string): SessionInfo | undefined { return Array.from(this.activeSessions.values()).find( (session) => session.model_id === modelId ) } override async chat( opts: chatCompletionRequest, abortController?: AbortController ): Promise> { const sessionInfo = this.findSessionByModel(opts.model) if (!sessionInfo) { throw new Error(`No active session found for model: ${opts.model}`) } // check if the process is alive const result = await invoke('is_process_running', { pid: sessionInfo.pid, }) if (result) { try { await fetch(`http://localhost:${sessionInfo.port}/health`) } catch (e) { this.unload(sessionInfo.model_id) throw new Error('Model appears to have crashed! Please reload!') } } else { this.activeSessions.delete(sessionInfo.pid) throw new Error('Model have crashed! Please reload!') } const baseUrl = `http://localhost:${sessionInfo.port}/v1` const url = `${baseUrl}/chat/completions` const headers = { 'Content-Type': 'application/json', 'Authorization': `Bearer ${sessionInfo.api_key}`, } const body = JSON.stringify(opts) if (opts.stream) { return this.handleStreamingResponse(url, headers, body, abortController) } // Handle non-streaming response const response = await fetch(url, { method: 'POST', headers, body, signal: abortController?.signal, }) if (!response.ok) { const errorData = await response.json().catch(() => null) throw new Error( `API request failed with status ${response.status}: ${JSON.stringify( errorData )}` ) } return (await response.json()) as chatCompletion } override async delete(modelId: string): Promise { const modelDir = await joinPath([ await this.getProviderPath(), 'models', modelId, ]) if (!(await fs.existsSync(await joinPath([modelDir, 'model.yml'])))) { throw new Error(`Model ${modelId} does not exist`) } await fs.rm(modelDir) } override async getLoadedModels(): Promise { let lmodels: string[] = [] for (const [_, sInfo] of this.activeSessions) { lmodels.push(sInfo.model_id) } return lmodels } async getDevices(): Promise { const cfg = this.config const [version, backend] = cfg.version_backend.split('/') if (!version || !backend) { throw new Error( `Invalid version/backend format: ${cfg.version_backend}. Expected format: /` ) } // Ensure backend is downloaded and ready before proceeding await this.ensureBackendReady(backend, version) logger.info('Calling Tauri command getDevices with arg --list-devices') const backendPath = await getBackendExePath(backend, version) const libraryPath = await joinPath([await this.getProviderPath(), 'lib']) try { const dList = await invoke('get_devices', { backendPath, libraryPath, }) return dList } catch (error) { logger.error('Failed to query devices:\n', error) throw new Error(`Failed to load llama-server: ${error}`) } } async embed(text: string[]): Promise { let sInfo = this.findSessionByModel('sentence-transformer-mini') if (!sInfo) { const downloadedModelList = await this.list() if ( !downloadedModelList.some( (model) => model.id === 'sentence-transformer-mini' ) ) { await this.import('sentence-transformer-mini', { modelPath: 'https://huggingface.co/second-state/All-MiniLM-L6-v2-Embedding-GGUF/resolve/main/all-MiniLM-L6-v2-ggml-model-f16.gguf?download=true', }) } sInfo = await this.load('sentence-transformer-mini') } const baseUrl = `http://localhost:${sInfo.port}/v1/embeddings` const headers = { 'Content-Type': 'application/json', 'Authorization': `Bearer ${sInfo.api_key}`, } const body = JSON.stringify({ input: text, model: sInfo.model_id, encoding_format: 'float', }) const response = await fetch(baseUrl, { method: 'POST', headers, body, }) if (!response.ok) { const errorData = await response.json().catch(() => null) throw new Error( `API request failed with status ${response.status}: ${JSON.stringify( errorData )}` ) } const responseData = await response.json() return responseData as EmbeddingResponse } // Optional method for direct client access override getChatClient(sessionId: string): any { throw new Error('method not implemented yet') } }