cactus-ai-sdk-provider/dist/index.cjs.map

Cactus provider for Vercel AI SDK - enables on-device LLM inference in React Native

{"version":3,"sources":["../index.ts","../provider.ts","../cactus-chat-language-model.ts","../model-manager.ts"],"sourcesContent":["// Main provider exports\nexport { cactus, createCactus } from './provider';\nexport type { \n  CactusProvider, \n  CactusProviderSettings,\n  CactusChatSettings \n} from './provider';\n\n// Language model exports\nexport { CactusChatLanguageModel, ModelStatus } from './cactus-chat-language-model';\nexport type { CactusChatLanguageModelConfig } from './cactus-chat-language-model';\n\n// Model management exports\nexport { ModelManager } from './model-manager';\nexport type { ModelEntry, DownloadOptions } from './model-manager';\n\n// Re-export relevant types from AI SDK for convenience\nexport type { \n  LanguageModelV2,\n  LanguageModelV2CallOptions,\n  LanguageModelV2Prompt,\n  LanguageModelV2Message,\n  LanguageModelV2Usage,\n  LanguageModelV2FinishReason \n} from '@ai-sdk/provider';","import { generateId } from '@ai-sdk/provider-utils';\nimport { ProviderV2 } from '@ai-sdk/provider';\nimport { CactusChatLanguageModel } from './cactus-chat-language-model';\n\nexport interface CactusChatSettings {}\n\nexport interface CactusProvider extends ProviderV2 {\n  (modelUrl: string, settings?: CactusChatSettings): CactusChatLanguageModel;\n\n  languageModel(\n    modelUrl: string,\n    settings?: CactusChatSettings,\n  ): CactusChatLanguageModel;\n}\n\nexport interface CactusProviderSettings {\n  model?: any;\n  generateId?: () => string;\n}\n\nexport function createCactus(\n  options: CactusProviderSettings = {},\n): CactusProvider {\n  const createChatModel = (\n    modelUrl: string,\n    settings: CactusChatSettings = {},\n  ) =>\n    new CactusChatLanguageModel(modelUrl, settings, {\n      provider: 'cactus',\n      generateId: options.generateId ?? generateId,\n    });\n\n  const provider = function (modelUrl: string, settings?: CactusChatSettings) {\n    if (new.target) {\n      throw new Error(\n        'The model factory function cannot be called with the new keyword.',\n      );\n    }\n\n    return createChatModel(modelUrl, settings);\n  };\n\n  provider.languageModel = createChatModel;\n\n  return provider as CactusProvider;\n}\n\nexport const cactus = createCactus();","import {\n  LanguageModelV2,\n  LanguageModelV2CallOptions,\n  LanguageModelV2Content,\n  LanguageModelV2FinishReason,\n  LanguageModelV2StreamPart,\n  LanguageModelV2Usage,\n  LanguageModelV2CallWarning,\n  LanguageModelV2Prompt,\n  LanguageModelV2TextPart,\n  LanguageModelV2ResponseMetadata,\n  SharedV2Headers,\n} from '@ai-sdk/provider';\nimport { CactusChatSettings } from './provider';\nimport {\n  CactusLM,\n  CompletionParams,\n  NativeCompletionResult,\n  CactusOAICompatibleMessage,\n} from 'cactus-react-native';\nimport { ModelManager, DownloadOptions } from './model-manager';\n\nexport enum ModelStatus {\n  IDLE,\n  DOWNLOADING,\n  INITIALIZING,\n  READY,\n  ERROR,\n}\n\nexport interface CactusChatLanguageModelConfig {\n  provider: string;\n  generateId?: () => string;\n}\n\nexport class CactusChatLanguageModel implements LanguageModelV2 {\n  readonly specificationVersion = 'v2';\n  readonly provider: string;\n  readonly modelId: string;\n  readonly modelUrl: string;\n\n  private lm: CactusLM | null = null;\n  private status: ModelStatus = ModelStatus.IDLE;\n  private lastError: Error | null = null;\n  private modelManager = new ModelManager();\n\n  constructor(\n    modelUrlOrPath: string,\n    private readonly settings: CactusChatSettings,\n    private readonly config: CactusChatLanguageModelConfig,\n  ) {\n    this.modelUrl = modelUrlOrPath;\n    \n    // Support both URLs and direct paths\n    try {\n      this.modelId = this.modelManager.getModelPath(modelUrlOrPath);\n    } catch {\n      // If model manager can't handle it (no RNFS), use as-is\n      this.modelId = modelUrlOrPath;\n    }\n    \n    this.provider = config.provider; // 'cactus'\n  }\n\n  public getStatus(): ModelStatus {\n    return this.status;\n  }\n\n  public getLastError(): Error | null {\n    return this.lastError; // useful for debugging when this.status is ModelStatus.ERROR\n  }\n\n  /**\n   * List all downloaded models\n   */\n  async listDownloadedModels() {\n    return this.modelManager.listModels();\n  }\n\n  /**\n   * Get storage info for all downloaded models\n   */\n  async getStorageInfo() {\n    return this.modelManager.getStorageInfo();\n  }\n\n  /**\n   * Download the model if it's a URL\n   */\n  async downloadModel(options: DownloadOptions = {}): Promise<string> {\n    this.status = ModelStatus.DOWNLOADING;\n\n    try {\n      const localPath = await this.modelManager.downloadModel(this.modelUrl, options);\n      this.status = ModelStatus.IDLE;\n      return localPath;\n    } catch (e) {\n      this.lastError = e as Error;\n      this.status = ModelStatus.ERROR;\n      throw e;\n    }\n  }\n\n  /**\n   * Delete the downloaded model\n   */\n  async deleteModel(): Promise<void> {\n    await this.modelManager.deleteModel(this.modelUrl);\n    this.status = ModelStatus.IDLE;\n  }\n\n  async initialize(): Promise<void> {\n    if (this.status === ModelStatus.READY) return;\n    \n    // Check if model is downloaded (for URLs)\n    const isDownloaded = await this.modelManager.isDownloaded(this.modelUrl);\n    if (!isDownloaded) {\n      throw new Error('Model not downloaded. Call downloadModel() first.');\n    }\n\n    this.status = ModelStatus.INITIALIZING;\n    try {\n      const { lm, error } = await CactusLM.init({ model: this.modelId });\n      if (error) throw error;\n      this.lm = lm;\n      this.status = ModelStatus.READY;\n    } catch (e) {\n      this.lastError = e as Error;\n      this.status = ModelStatus.ERROR;\n      throw e;\n    }\n  }\n\n  private assertIsReady(): void {\n    if (this.status !== ModelStatus.READY || !this.lm) {\n      throw new Error(\n        `Model not ready. Status: ${\n          ModelStatus[this.status]\n        }. Error: ${this.lastError?.message}`,\n      );\n    }\n  }\n\n  private convertToCactusMessages(\n    prompt: LanguageModelV2Prompt,\n  ): CactusOAICompatibleMessage[] {\n    return prompt.map(message => {\n      if (message.role === 'system') {\n        return { role: 'system', content: message.content };\n      }\n      const content = message.content\n        .filter(part => part.type === 'text')\n        .map(part => (part as LanguageModelV2TextPart).text)\n        .join('');\n      return { role: message.role, content };\n    });\n  }\n\n  private getCactusParams(\n    options: LanguageModelV2CallOptions,\n  ): CompletionParams {\n    const params: CompletionParams = {};\n    if (options.temperature != null) params.temperature = options.temperature;\n    if (options.maxOutputTokens != null) params.n_predict = options.maxOutputTokens;\n    if (options.stopSequences != null) params.stop = options.stopSequences;\n    return params;\n  }\n\n  get supportedUrls(): Record<string, RegExp[]> {return {}} // cactus is on-device only\n\n  async doGenerate(\n    options: LanguageModelV2CallOptions,\n  ): Promise<{\n    content: Array<LanguageModelV2Content>;\n    finishReason: LanguageModelV2FinishReason;\n    usage: LanguageModelV2Usage;\n    warnings: Array<LanguageModelV2CallWarning>;\n    request?: { body?: unknown };\n    response?: LanguageModelV2ResponseMetadata & {\n      headers?: SharedV2Headers;\n      body?: unknown;\n    };\n  }> {\n    this.assertIsReady();\n    const messages = this.convertToCactusMessages(options.prompt);\n    const params = this.getCactusParams(options);\n    const result: NativeCompletionResult = await this.lm!.completion(\n      messages,\n      params,\n    );\n    return {\n      content: [{ type: 'text', text: result.content }],\n      finishReason: 'stop' as const,\n      usage: {\n        inputTokens: result.tokens_evaluated,\n        outputTokens: result.tokens_predicted,\n        totalTokens: result.tokens_evaluated + result.tokens_predicted,\n      },\n      warnings: [],\n    };\n  }\n\n  async doStream(\n    options: LanguageModelV2CallOptions,\n  ): Promise<{\n    stream: ReadableStream<LanguageModelV2StreamPart>;\n    warnings: Array<LanguageModelV2CallWarning>;\n    request?: { body?: unknown };\n    response?: {\n      headers?: SharedV2Headers;\n    };\n  }> {\n    this.assertIsReady();\n    const messages = this.convertToCactusMessages(options.prompt);\n    const params = this.getCactusParams(options);\n\n    const stream = new ReadableStream<LanguageModelV2StreamPart>({\n      start: async (controller) => {\n        controller.enqueue({ type: 'stream-start', warnings: [] });\n        try {\n          const result = await this.lm!.completion(messages, params, data => {\n            controller.enqueue({ type: 'text-delta', id: 'text', delta: data.token });\n          });\n          controller.enqueue({\n            type: 'finish',\n            finishReason: 'stop',\n            usage: {\n              inputTokens: result.tokens_evaluated,\n              outputTokens: result.tokens_predicted,\n              totalTokens:\n                result.tokens_evaluated + result.tokens_predicted,\n            },\n          });\n          controller.close();\n        } catch (error) {\n          controller.error(error);\n        }\n      },\n    });\n\n    return { stream, warnings: [] };\n  }\n} ","export interface ModelEntry {\n  url: string;\n  localPath: string;\n  status: 'pending' | 'ready' | 'error';\n}\n\nexport interface DownloadOptions {\n  onProgress?: (progress: number) => void;\n}\n\nexport class ModelManager {\n  private rnfs: any = null;\n  private cache = new Map<string, ModelEntry>();\n  \n  constructor() {\n    // Try to load RNFS, but don't fail if missing\n    try {\n      this.rnfs = require('react-native-fs');\n    } catch (e) {\n      // RNFS not available - basic mode only\n    }\n  }\n  \n  /**\n   * Check if RNFS is available for model management features\n   */\n  get isRNFSAvailable(): boolean {\n    return this.rnfs !== null;\n  }\n  \n  /**\n   * Get the local file path for a model URL\n   * @throws Error if RNFS is not available\n   */\n  getModelPath(urlOrPath: string): string {\n    // If it's already a local path, return as-is\n    if (!urlOrPath.startsWith('http://') && !urlOrPath.startsWith('https://')) {\n      return urlOrPath;\n    }\n    \n    if (!this.rnfs) {\n      throw new Error(\n        'react-native-fs is required for automatic model paths. ' +\n        'Please install it or provide a direct file path instead of a URL.'\n      );\n    }\n    \n    const filename = urlOrPath.split('/').pop()?.replace(/[^a-zA-Z0-9.-]/g, '_') || 'model.gguf';\n    return `${this.rnfs.DocumentDirectoryPath}/cactus-models/${filename}`;\n  }\n  \n  /**\n   * Download a model from a URL\n   * @throws Error if RNFS is not available\n   */\n  async downloadModel(url: string, options?: DownloadOptions): Promise<string> {\n    if (!this.rnfs) {\n      throw new Error(\n        'react-native-fs is required for model downloads. ' +\n        'Please install it with: npm install react-native-fs'\n      );\n    }\n    \n    const localPath = this.getModelPath(url);\n    const modelDir = `${this.rnfs.DocumentDirectoryPath}/cactus-models`;\n    \n    // Ensure directory exists\n    if (!(await this.rnfs.exists(modelDir))) {\n      await this.rnfs.mkdir(modelDir);\n    }\n    \n    // Check if already downloaded\n    if (await this.rnfs.exists(localPath)) {\n      // Update cache and return\n      this.cache.set(url, { url, localPath, status: 'ready' });\n      return localPath;\n    }\n    \n    // Update cache status\n    this.cache.set(url, { url, localPath, status: 'pending' });\n    \n    try {\n      // Download with progress callback\n      await this.rnfs.downloadFile({\n        fromUrl: url,\n        toFile: localPath,\n        progress: (res: { bytesWritten: number; contentLength: number }) => {\n          if (options?.onProgress) {\n            options.onProgress(res.bytesWritten / res.contentLength);\n          }\n        }\n      }).promise;\n      \n      // Update cache status\n      this.cache.set(url, { url, localPath, status: 'ready' });\n      return localPath;\n    } catch (error) {\n      // Update cache status and cleanup\n      this.cache.set(url, { url, localPath, status: 'error' });\n      \n      // Try to delete partial file\n      try {\n        if (await this.rnfs.exists(localPath)) {\n          await this.rnfs.unlink(localPath);\n        }\n      } catch {\n        // Ignore cleanup errors\n      }\n      \n      throw error;\n    }\n  }\n  \n  /**\n   * Check if a model is downloaded\n   */\n  async isDownloaded(urlOrPath: string): Promise<boolean> {\n    // If it's a local path, assume it exists (will be checked during init)\n    if (!urlOrPath.startsWith('http://') && !urlOrPath.startsWith('https://')) {\n      return true;\n    }\n    \n    // Check cache first\n    const cached = this.cache.get(urlOrPath);\n    if (cached?.status === 'ready') {\n      return true;\n    }\n    \n    // Need RNFS to check filesystem\n    if (!this.rnfs) {\n      return false;\n    }\n    \n    try {\n      const localPath = this.getModelPath(urlOrPath);\n      const exists = await this.rnfs.exists(localPath);\n      \n      // Update cache if file exists\n      if (exists) {\n        this.cache.set(urlOrPath, { url: urlOrPath, localPath, status: 'ready' });\n      }\n      \n      return exists;\n    } catch {\n      return false;\n    }\n  }\n  \n  /**\n   * Delete a downloaded model\n   */\n  async deleteModel(urlOrPath: string): Promise<void> {\n    if (!this.rnfs) {\n      throw new Error('react-native-fs is required to delete models');\n    }\n    \n    const localPath = this.getModelPath(urlOrPath);\n    \n    if (await this.rnfs.exists(localPath)) {\n      await this.rnfs.unlink(localPath);\n    }\n    \n    // Remove from cache\n    this.cache.delete(urlOrPath);\n  }\n  \n  /**\n   * List all downloaded models\n   */\n  async listModels(): Promise<ModelEntry[]> {\n    if (!this.rnfs) {\n      // Return only cached entries\n      return Array.from(this.cache.values());\n    }\n    \n    const modelDir = `${this.rnfs.DocumentDirectoryPath}/cactus-models`;\n    \n    try {\n      if (!(await this.rnfs.exists(modelDir))) {\n        return [];\n      }\n      \n      const files = await this.rnfs.readDir(modelDir);\n      const models: ModelEntry[] = [];\n      \n      for (const file of files) {\n        if (file.isFile() && file.name.endsWith('.gguf')) {\n          // Try to find in cache by path\n          let found = false;\n          for (const [url, entry] of this.cache.entries()) {\n            if (entry.localPath === file.path) {\n              models.push(entry);\n              found = true;\n              break;\n            }\n          }\n          \n          // If not in cache, create basic entry\n          if (!found) {\n            models.push({\n              url: file.path,\n              localPath: file.path,\n              status: 'ready'\n            });\n          }\n        }\n      }\n      \n      return models;\n    } catch {\n      return [];\n    }\n  }\n  \n  /**\n   * Get storage info for all models\n   */\n  async getStorageInfo(): Promise<{ totalSize: number; modelCount: number }> {\n    if (!this.rnfs) {\n      return { totalSize: 0, modelCount: 0 };\n    }\n    \n    const models = await this.listModels();\n    let totalSize = 0;\n    \n    for (const model of models) {\n      try {\n        const stat = await this.rnfs.stat(model.localPath);\n        totalSize += stat.size;\n      } catch {\n        // Ignore stat errors\n      }\n    }\n    \n    return {\n      totalSize,\n      modelCount: models.length\n    };\n  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