voiceai-sdk/dist/index.mjs.map

Official SDK for SLNG.AI Voice API - Text-to-Speech, Speech-to-Text, and LLM services

{"version":3,"sources":["../node_modules/tsup/assets/esm_shims.js","../src/utils/catalog.ts","../src/index.ts","../src/client.ts","../src/tts.ts","../src/providers/index.ts","../src/providers/tts.ts","../src/utils/request.ts","../src/providers/stt.ts","../src/providers/llm.ts","../src/stt.ts","../src/llm.ts","../src/auth.ts","../src/warmup.ts","../src/types.ts"],"sourcesContent":["// Shim globals in esm bundle\nimport path from 'node:path'\nimport { fileURLToPath } from 'node:url'\n\nconst getFilename = () => fileURLToPath(import.meta.url)\nconst getDirname = () => path.dirname(getFilename())\n\nexport const __dirname = /* @__PURE__ */ getDirname()\nexport const __filename = /* @__PURE__ */ getFilename()\n","import { makeRequest } from './request';\n\nexport interface ModelCatalog {\n  tts: Record<string, {\n    name: string;\n    description: string;\n    voices?: string[];\n    languages?: string[];\n    pricing: string;\n  }>;\n  stt: Record<string, {\n    name: string;\n    description: string;\n    languages?: string[];\n    pricing: string;\n  }>;\n  llm: Record<string, {\n    name: string;\n    description: string;\n    pricing: string;\n  }>;\n  lastUpdated: string;\n}\n\nclass CatalogManager {\n  private catalog: ModelCatalog | null = null;\n  private lastFetch: number = 0;\n  private cacheTimeout = 24 * 60 * 60 * 1000; // 24 hours cache in memory\n\n  private async fetchCatalog(): Promise<ModelCatalog> {\n    try {\n      // Semi-private endpoint - not documented but accessible\n      // Obfuscate the endpoint slightly\n      const endpoint = Buffer.from('L2FscGhhL2NhdGFsb2c=', 'base64').toString();\n      \n      const response = await fetch(`https://api.slng.ai${endpoint}`, {\n        headers: {\n          'X-SDK-Version': '1.0.0',\n          'X-SDK-Client': 'voiceai-sdk',\n        }\n      });\n\n      if (!response.ok) {\n        throw new Error('Failed to fetch catalog');\n      }\n\n      return await response.json();\n    } catch (error) {\n      // Fallback to embedded defaults if endpoint unavailable\n      return this.getDefaultCatalog();\n    }\n  }\n\n  private getDefaultCatalog(): ModelCatalog {\n    return {\n      tts: {\n        'orpheus': {\n          name: 'Orpheus',\n          description: 'Frontier TTS model with emotive speech',\n          voices: ['tara', 'leah', 'jess', 'leo', 'dan', 'mia', 'zac', 'zoe'],\n          languages: ['en', 'fr', 'de', 'ko', 'zh', 'es', 'it', 'hi'],\n          pricing: '$0.30 per 1M characters'\n        },\n        'orpheus-indic': {\n          name: 'Orpheus Indic',\n          description: 'Optimized for 8 major Indian languages, hosted in Mumbai',\n          voices: ['hindi_male', 'hindi_female', 'tamil_male', 'tamil_female', 'telugu_male', 'bengali_female', 'marathi_male', 'gujarati_female', 'kannada_male', 'malayalam_female'],\n          languages: ['hi', 'ta', 'te', 'bn', 'mr', 'gu', 'kn', 'ml'],\n          pricing: '$0.04 per minute generated'\n        },\n        'elevenlabs/multi-v2': {\n          name: 'ElevenLabs Multi-v2',\n          description: 'Multilingual model supporting 29+ languages',\n          voices: ['Rachel', 'Drew', 'Clyde', 'Paul', 'Domi', 'Dave', 'Fin', 'Bella'],\n          languages: ['en', 'es', 'fr', 'de', 'it', 'pt', 'pl', 'hi', 'ar', 'zh', 'ja', 'ko'],\n          pricing: '$0.30 per 1M characters'\n        },\n        'elevenlabs/turbo-v2-5': {\n          name: 'ElevenLabs Turbo v2.5',\n          description: 'Ultra-fast TTS with low latency',\n          voices: ['Rachel', 'Drew', 'Clyde', 'Paul'],\n          languages: ['en', 'es', 'fr', 'de', 'it', 'pt'],\n          pricing: '$0.25 per 1M characters'\n        },\n        'elevenlabs/v3': {\n          name: 'ElevenLabs v3',\n          description: 'Latest generation with high-quality voices',\n          voices: ['Rachel', 'Drew', 'Clyde', 'Paul', 'Domi', 'Dave', 'Fin', 'Bella'],\n          languages: ['en', 'es', 'fr', 'de', 'it', 'pt', 'pl', 'hi'],\n          pricing: '$0.35 per 1M characters'\n        },\n        'elevenlabs/flash-v2-5': {\n          name: 'ElevenLabs Flash v2.5',\n          description: 'Fast model with good quality balance',\n          voices: ['Rachel', 'Drew', 'Clyde', 'Paul'],\n          languages: ['en', 'es', 'fr', 'de', 'it', 'pt', 'pl'],\n          pricing: '$0.20 per 1M characters'\n        },\n        'koroko': {\n          name: 'Koroko',\n          description: 'Efficient 82M parameter model',\n          languages: ['en'],\n          pricing: '$0.15 per 1M characters'\n        },\n        'vui': {\n          name: 'VUI',\n          description: 'Fast, reliable baseline model',\n          voices: ['default'],\n          languages: ['en'],\n          pricing: '$0.10 per 1M characters'\n        },\n        'xtts-v2': {\n          name: 'XTTS-v2',\n          description: 'Voice cloning in 17 languages',\n          languages: ['en', 'es', 'fr', 'de', 'it', 'pt', 'pl', 'tr', 'ru', 'nl', 'cs', 'ar', 'zh', 'ja', 'ko', 'hu', 'hi'],\n          pricing: '$0.50 per 1M characters'\n        },\n        'mars6': {\n          name: 'MARS6',\n          description: 'Voice + prosody cloning',\n          languages: ['en-us', 'fr-fr', 'de-de', 'es-es', 'it-it', 'pt-pt', 'zh-cn', 'ja-jp', 'ko-kr', 'nl-nl'],\n          pricing: '$0.60 per 1M characters'\n        },\n        'twi-speecht5': {\n          name: 'Twi SpeechT5',\n          description: 'Specialized for Twi language',\n          languages: ['tw'],\n          pricing: '$0.25 per 1M characters'\n        }\n      },\n      stt: {\n        'whisper-v3': {\n          name: 'Whisper-v3',\n          description: 'OpenAI\\'s best speech recognition',\n          languages: ['en', 'es', 'fr', 'de', 'it', 'pt', 'ru', 'zh', 'ja', 'ko', 'ar', 'hi'],\n          pricing: '$0.006 per minute'\n        },\n        'kyutai': {\n          name: 'Kyutai Streaming',\n          description: 'High-performance streaming STT for French/English, hosted in Mumbai',\n          languages: ['en', 'fr'],\n          pricing: '4 credits per minute'\n        }\n      },\n      llm: {\n        'llama-4-scout': {\n          name: 'Llama 4 Scout',\n          description: 'Fast, capable 17B parameter model',\n          pricing: '$0.10 per 1M tokens'\n        }\n      },\n      lastUpdated: new Date().toISOString()\n    };\n  }\n\n  async getCatalog(): Promise<ModelCatalog> {\n    // Use in-memory cache for 24 hours\n    const now = Date.now();\n    if (this.catalog && (now - this.lastFetch) < this.cacheTimeout) {\n      return this.catalog;\n    }\n\n    // Fetch new catalog\n    this.catalog = await this.fetchCatalog();\n    this.lastFetch = now;\n    \n    return this.catalog;\n  }\n\n  async getModels(): Promise<string[]> {\n    const catalog = await this.getCatalog();\n    return [\n      ...Object.keys(catalog.tts),\n      ...Object.keys(catalog.stt),\n      ...Object.keys(catalog.llm)\n    ];\n  }\n\n  async getPricing(): Promise<Record<string, string>> {\n    const catalog = await this.getCatalog();\n    const pricing: Record<string, string> = {};\n    \n    Object.entries(catalog.tts).forEach(([key, model]) => {\n      pricing[`tts/${key}`] = model.pricing;\n    });\n    \n    Object.entries(catalog.stt).forEach(([key, model]) => {\n      pricing[`stt/${key}`] = model.pricing;\n    });\n    \n    Object.entries(catalog.llm).forEach(([key, model]) => {\n      pricing[`llm/${key}`] = model.pricing;\n    });\n    \n    return pricing;\n  }\n\n  // Force refresh the catalog\n  async refresh(): Promise<void> {\n    this.catalog = null;\n    this.lastFetch = 0;\n    await this.getCatalog();\n  }\n}\n\nexport const catalogManager = new CatalogManager();","import { VoiceAI } from './client';\nimport { tts } from './tts';\nimport { stt } from './stt';\nimport { llm } from './llm';\nimport { auth } from './auth';\nimport { warmup } from './warmup';\n\nexport { VoiceAI, tts, stt, llm, auth, warmup };\n\nexport * from './types';\nexport * from './providers';\n\nexport default VoiceAI;","export interface VoiceAIConfig {\n  apiKey: string;\n  baseUrl?: string;\n  timeout?: number; // milliseconds, default 30000 (30s)\n}\n\nexport class VoiceAI {\n  private static instance: VoiceAI;\n  private config: VoiceAIConfig;\n\n  constructor(config: VoiceAIConfig) {\n    this.config = {\n      baseUrl: 'https://api.slng.ai',\n      ...config,\n    };\n    VoiceAI.instance = this;\n  }\n\n  static getInstance(): VoiceAI {\n    if (!VoiceAI.instance) {\n      throw new Error(\n        'VoiceAI not initialized. Please call new VoiceAI({ apiKey: \"your-key\" }) first.\\n' +\n        'Get your API key at https://slng.ai/signup'\n      );\n    }\n    return VoiceAI.instance;\n  }\n\n  getConfig(): VoiceAIConfig {\n    return this.config;\n  }\n\n  updateApiKey(apiKey: string): void {\n    this.config.apiKey = apiKey;\n  }\n}","import { VoiceAI } from './client';\nimport { providers } from './providers';\n\nexport interface TTSOptions {\n  voice?: string;\n  language?: string;\n  stream?: boolean;\n  format?: 'mp3' | 'wav' | 'aac' | 'flac';\n  temperature?: number;\n  speed?: number;\n  [key: string]: any;\n}\n\nexport interface TTSResult {\n  audio: ArrayBuffer | ReadableStream;\n  duration?: number;\n  format?: string;\n}\n\nasync function synthesize(\n  text: string,\n  model: string,\n  options: TTSOptions = {}\n): Promise<TTSResult> {\n  const client = VoiceAI.getInstance();\n  const config = client.getConfig();\n  \n  const provider = providers.tts[model];\n  if (!provider) {\n    throw new Error(\n      `Model \"${model}\" not found. Available models: ${Object.keys(providers.tts).join(', ')}\\n` +\n      `Need a different model? Contact founders at hello@slng.ai`\n    );\n  }\n\n  return provider.synthesize(text, options, config);\n}\n\nexport const tts = {\n  async synthesize(text: string, model: string, options?: TTSOptions): Promise<TTSResult> {\n    return synthesize(text, model, options);\n  },\n  \n  vui: (text: string, options?: TTSOptions) => \n    synthesize(text, 'vui', options),\n  \n  orpheus: (text: string, options?: TTSOptions) => \n    synthesize(text, 'orpheus', options),\n  \n  koroko: (text: string, options?: TTSOptions) => \n    synthesize(text, 'koroko', options),\n  \n  xtts: (text: string, options?: TTSOptions & { speakerVoice: string }) => \n    synthesize(text, 'xtts-v2', options),\n  \n  mars6: (text: string, options?: TTSOptions & { audioRef: string }) => \n    synthesize(text, 'mars6', options),\n  \n  orpheusIndic: (text: string, options?: TTSOptions & { language: string }) => {\n    if (!options?.language) {\n      throw new Error('Orpheus Indic requires language option (hi, ta, te, bn, mr, gu, kn, ml)');\n    }\n    return synthesize(text, 'orpheus-indic', options);\n  },\n  \n  elevenlabs: {\n    multiV2: (text: string, options?: TTSOptions) => \n      synthesize(text, 'elevenlabs/multi-v2', options),\n    \n    turbo: (text: string, options?: TTSOptions) => \n      synthesize(text, 'elevenlabs/turbo-v2-5', options),\n    \n    v3: (text: string, options?: TTSOptions) => \n      synthesize(text, 'elevenlabs/v3', options),\n    \n    flash: (text: string, options?: TTSOptions) => \n      synthesize(text, 'elevenlabs/flash-v2-5', options),\n  },\n\n  models: Object.keys(providers.tts),\n  \n  getVoices: (model: string): string[] => {\n    const provider = providers.tts[model];\n    return provider?.voices || [];\n  },\n  \n  getLanguages: (model: string): string[] => {\n    const provider = providers.tts[model];\n    return provider?.languages || ['en'];\n  },\n};","import { TTSProviders } from './tts';\nimport { STTProviders } from './stt';\nimport { LLMProviders } from './llm';\n\nexport const providers = {\n  tts: TTSProviders,\n  stt: STTProviders,\n  llm: LLMProviders,\n};\n\nexport * from './tts';\nexport * from './stt';\nexport * from './llm';","import { VoiceAIConfig } from '../client';\nimport { TTSOptions, TTSResult } from '../tts';\nimport { makeRequest } from '../utils/request';\n\nexport interface TTSProvider {\n  synthesize: (text: string, options: TTSOptions, config: VoiceAIConfig) => Promise<TTSResult>;\n  voices?: string[];\n  languages?: string[];\n}\n\nexport const TTSProviders: Record<string, TTSProvider> = {\n  'vui': {\n    synthesize: async (text, options, config) => {\n      const audio = await makeRequest({\n        url: '/v1/tts/vui',\n        method: 'POST',\n        data: { text, ...options },\n        responseType: options.stream ? 'stream' : 'arraybuffer',\n        config,\n      });\n      return { audio };\n    },\n    voices: ['default', 'female_01', 'male_01'],\n    languages: ['en'],\n  },\n\n  'orpheus': {\n    synthesize: async (text, options, config) => {\n      const audio = await makeRequest({\n        url: '/v1/tts/orpheus',\n        method: 'POST',\n        data: { \n          prompt: text,\n          voice: options.voice || 'tara',\n          output_language: options.language,\n          ...options \n        },\n        responseType: options.stream ? 'stream' : 'arraybuffer',\n        config,\n      });\n      return { audio };\n    },\n    voices: ['tara', 'leah', 'jess', 'leo', 'dan', 'mia', 'zac', 'zoe', 'pierre', 'amelie', 'marie', 'jana', 'thomas', 'max'],\n    languages: ['en', 'fr', 'de', 'ko', 'zh', 'es', 'it', 'hi'],\n  },\n\n  'koroko': {\n    synthesize: async (text, options, config) => {\n      const audio = await makeRequest({\n        url: '/v1/tts/koroko',\n        method: 'POST',\n        data: { text, ...options },\n        responseType: options.stream ? 'stream' : 'arraybuffer',\n        config,\n      });\n      return { audio };\n    },\n    languages: ['en'],\n  },\n\n  'xtts-v2': {\n    synthesize: async (text, options: any, config) => {\n      if (!options.speakerVoice) {\n        throw new Error('XTTS-v2 requires speakerVoice option (base64 audio for voice cloning)');\n      }\n      const audio = await makeRequest({\n        url: '/v1/tts/xtts-v2',\n        method: 'POST',\n        data: { \n          text,\n          speaker_voice: options.speakerVoice,\n          language: options.language || 'en',\n          ...options \n        },\n        responseType: options.stream ? 'stream' : 'arraybuffer',\n        config,\n      });\n      return { audio };\n    },\n    languages: ['en', 'es', 'fr', 'de', 'it', 'pt', 'pl', 'tr', 'ru', 'nl', 'cs', 'ar', 'zh', 'ja', 'ko', 'hu', 'hi'],\n  },\n\n  'mars6': {\n    synthesize: async (text, options: any, config) => {\n      if (!options.audioRef) {\n        throw new Error('MARS6 requires audioRef option (base64 audio for voice cloning)');\n      }\n      if (!options.language) {\n        throw new Error('MARS6 requires language option (e.g., \"en-us\")');\n      }\n      const audio = await makeRequest({\n        url: '/v1/tts/mars6',\n        method: 'POST',\n        data: { \n          text,\n          audio_ref: options.audioRef,\n          language: options.language,\n          ref_text: options.refText,\n          ...options \n        },\n        responseType: options.stream ? 'stream' : 'arraybuffer',\n        config,\n      });\n      return { audio };\n    },\n    languages: ['en-us', 'fr-fr', 'de-de', 'es-es', 'it-it', 'pt-pt', 'zh-cn', 'ja-jp', 'ko-kr', 'nl-nl'],\n  },\n\n  'elevenlabs/multi-v2': {\n    synthesize: async (text, options, config) => {\n      const audio = await makeRequest({\n        url: '/v1/tts/elevenlabs/multi-v2',\n        method: 'POST',\n        data: { text, ...options },\n        responseType: options.stream ? 'stream' : 'arraybuffer',\n        config,\n      });\n      return { audio };\n    },\n    voices: ['Rachel', 'Drew', 'Clyde', 'Paul', 'Domi', 'Dave', 'Fin', 'Bella'],\n    languages: ['en', 'es', 'fr', 'de', 'it', 'pt', 'pl', 'hi', 'ar', 'zh', 'ja', 'ko'],\n  },\n\n  'elevenlabs/turbo-v2-5': {\n    synthesize: async (text, options, config) => {\n      const audio = await makeRequest({\n        url: '/v1/tts/elevenlabs/turbo-v2-5',\n        method: 'POST',\n        data: { text, ...options },\n        responseType: options.stream ? 'stream' : 'arraybuffer',\n        config,\n      });\n      return { audio };\n    },\n    voices: ['Rachel', 'Drew', 'Clyde', 'Paul'],\n    languages: ['en', 'es', 'fr', 'de', 'it', 'pt'],\n  },\n\n  'elevenlabs/v3': {\n    synthesize: async (text, options, config) => {\n      const audio = await makeRequest({\n        url: '/v1/tts/elevenlabs/v3',\n        method: 'POST',\n        data: { text, ...options },\n        responseType: options.stream ? 'stream' : 'arraybuffer',\n        config,\n      });\n      return { audio };\n    },\n    voices: ['Rachel', 'Drew', 'Clyde', 'Paul', 'Domi', 'Dave', 'Fin', 'Bella'],\n    languages: ['en', 'es', 'fr', 'de', 'it', 'pt', 'pl', 'hi'],\n  },\n\n  'elevenlabs/flash-v2-5': {\n    synthesize: async (text, options, config) => {\n      const audio = await makeRequest({\n        url: '/v1/tts/elevenlabs/flash-v2-5',\n        method: 'POST',\n        data: { text, ...options },\n        responseType: options.stream ? 'stream' : 'arraybuffer',\n        config,\n      });\n      return { audio };\n    },\n    voices: ['Rachel', 'Drew', 'Clyde', 'Paul'],\n    languages: ['en', 'es', 'fr', 'de', 'it', 'pt', 'pl'],\n  },\n\n  'orpheus-indic': {\n    synthesize: async (text, options, config) => {\n      const audio = await makeRequest({\n        url: '/v1/tts/in/orpheus-indic',\n        method: 'POST',\n        data: { \n          prompt: text,\n          voice: options.voice,\n          output_language: options.language || 'hi',\n          output_style: options.style,\n          speed: options.speed,\n          ...options \n        },\n        responseType: options.stream ? 'stream' : 'arraybuffer',\n        config,\n      });\n      return { audio };\n    },\n    voices: ['hindi_male', 'hindi_female', 'tamil_male', 'tamil_female', 'telugu_male', 'bengali_female', 'marathi_male', 'gujarati_female', 'kannada_male', 'malayalam_female'],\n    languages: ['hi', 'ta', 'te', 'bn', 'mr', 'gu', 'kn', 'ml'],\n  },\n\n  'twi-speecht5': {\n    synthesize: async (text, options: any, config) => {\n      if (!options.speakerEmbedding || options.speakerEmbedding.length !== 512) {\n        throw new Error('Twi-SpeechT5 requires speakerEmbedding option (512-dimensional vector)');\n      }\n      const response = await makeRequest({\n        url: '/v1/tts/twi-speecht5',\n        method: 'POST',\n        data: { \n          text,\n          speaker_embedding: options.speakerEmbedding,\n        },\n        responseType: 'json',\n        config,\n      });\n      \n      const audioArray = new Float32Array(response.audio);\n      return { audio: audioArray.buffer };\n    },\n    languages: ['tw'],\n  },\n};","import axios, { AxiosRequestConfig } from 'axios';\nimport { VoiceAIConfig } from '../client';\n\nexport interface RequestOptions {\n  url: string;\n  method: 'GET' | 'POST' | 'PUT' | 'DELETE';\n  data?: any;\n  headers?: Record<string, string>;\n  responseType?: 'json' | 'arraybuffer' | 'stream';\n  config: VoiceAIConfig;\n  modelTimeout?: number; // Model-specific timeout override\n}\n\n// Model-specific timeout settings (in milliseconds)\nconst MODEL_TIMEOUTS: Record<string, number> = {\n  'orpheus': 90000,      // 90s - can be slow on cold start\n  'orpheus-indic': 90000, // 90s - infrastructure cold start\n  'xtts-v2': 90000,      // 90s - voice cloning takes time\n  'mars6': 90000,        // 90s - complex processing\n  'elevenlabs/v3': 60000, // 60s\n  'whisper-v3': 120000,   // 120s - large audio files\n  'llama-4-scout': 60000, // 60s - LLM generation\n};\n\nfunction getTimeout(url: string, config: VoiceAIConfig, modelTimeout?: number): number {\n  // Priority: modelTimeout > model-specific > user config > default\n  if (modelTimeout) return modelTimeout;\n  \n  // Check if URL matches a known model\n  for (const [model, timeout] of Object.entries(MODEL_TIMEOUTS)) {\n    if (url.includes(model.replace('/', '/'))) {\n      return timeout;\n    }\n  }\n  \n  return config.timeout || 30000; // Default 30s\n}\n\nexport async function makeRequest(options: RequestOptions): Promise<any> {\n  const { url, method, data, headers, responseType = 'json', config, modelTimeout } = options;\n\n  const timeout = getTimeout(url, config, modelTimeout);\n  \n  const axiosConfig: AxiosRequestConfig = {\n    url,\n    method,\n    baseURL: config.baseUrl || 'https://api.slng.ai',\n    headers: {\n      'Authorization': `Bearer ${config.apiKey}`,\n      'User-Agent': 'VoiceAI-SDK/0.1.2',\n      ...headers,\n    },\n    data,\n    responseType: responseType as any,\n    timeout,\n  };\n\n  try {\n    const response = await axios(axiosConfig);\n    return response.data;\n  } catch (error: any) {\n    if (error.code === 'ECONNABORTED' || error.code === 'ETIMEDOUT') {\n      const isKnownSlowModel = Object.keys(MODEL_TIMEOUTS).some(model => \n        options.url.includes(model.replace('/', '/'))\n      );\n      \n      if (isKnownSlowModel) {\n        throw new Error(\n          `Request timed out after ${timeout/1000}s. Model may be starting up (cold start).\\n` +\n          `First calls can take 60-90 seconds. Please retry in a moment.\\n` +\n          `Tip: You can increase timeout with new VoiceAI({ timeout: 120000 })`\n        );\n      } else {\n        throw new Error(\n          `Request timed out after ${timeout/1000}s.\\n` +\n          `Try again or increase timeout with new VoiceAI({ timeout: 60000 })`\n        );\n      }\n    }\n    \n    if (error.response) {\n      const { status, data } = error.response;\n      const message = data?.error || data?.message || 'Request failed';\n      \n      if (status === 401) {\n        throw new Error(\n          `Authentication failed: ${message}\\n` +\n          `Please check your API key. Get one at https://slng.ai/signup`\n        );\n      } else if (status === 402) {\n        throw new Error(\n          `Insufficient credits: ${message}\\n` +\n          `Add credits at https://slng.ai/dashboard`\n        );\n      } else if (status === 429) {\n        throw new Error(\n          `Rate limit exceeded: ${message}\\n` +\n          `Please slow down your requests or upgrade your plan at https://slng.ai/pricing`\n        );\n      } else if (status === 400) {\n        throw new Error(`Invalid request: ${message}`);\n      } else if (status >= 500) {\n        throw new Error(\n          `Server error (${status}): ${message}\\n` +\n          `The model service may be temporarily unavailable. Please retry.\\n` +\n          `If this persists, contact hello@slng.ai`\n        );\n      } else {\n        throw new Error(\n          `API Error (${status}): ${message}\\n` +\n          `Need help? Contact founders at hello@slng.ai`\n        );\n      }\n    } else if (error.request) {\n      throw new Error(\n        'Network error: Unable to reach SLNG.AI servers.\\n' +\n        'Please check your internet connection.'\n      );\n    } else {\n      throw new Error(`Unexpected error: ${error.message}`);\n    }\n  }\n}","import { VoiceAIConfig } from '../client';\nimport { STTOptions, STTResult } from '../stt';\nimport { makeRequest } from '../utils/request';\nimport FormData from 'form-data';\n\nexport interface STTProvider {\n  transcribe: (audio: File | Blob | ArrayBuffer | string, options: STTOptions, config: VoiceAIConfig) => Promise<STTResult>;\n  languages?: string[];\n}\n\nexport const STTProviders: Record<string, STTProvider> = {\n  'whisper-v3': {\n    transcribe: async (audio, options, config) => {\n      const formData = new FormData();\n      \n      if (audio instanceof File) {\n        formData.append('audio', audio, audio.name);\n      } else if (audio instanceof Blob) {\n        formData.append('audio', audio, 'audio.wav');\n      } else if (audio instanceof ArrayBuffer) {\n        const blob = new Blob([audio]);\n        formData.append('audio', blob, 'audio.wav');\n      } else if (typeof audio === 'string') {\n        formData.append('audio', audio);\n      }\n\n      if (options.language) {\n        formData.append('language', options.language);\n      }\n\n      const response = await makeRequest({\n        url: '/v1/stt/whisper-v3',\n        method: 'POST',\n        data: formData,\n        headers: formData.getHeaders(),\n        responseType: 'json',\n        config,\n      });\n\n      return {\n        text: response.text,\n        confidence: response.confidence,\n        language: response.language || options.language,\n        segments: response.segments,\n      };\n    },\n    languages: ['en', 'es', 'fr', 'de', 'it', 'pt', 'ru', 'zh', 'ja', 'ko', 'ar', 'hi'],\n  },\n\n  'kyutai': {\n    transcribe: async (audio, options, config) => {\n      const formData = new FormData();\n      \n      if (audio instanceof File) {\n        formData.append('audio', audio, audio.name);\n      } else if (audio instanceof Blob) {\n        formData.append('audio', audio, 'audio.wav');\n      } else if (audio instanceof ArrayBuffer) {\n        const blob = new Blob([audio]);\n        formData.append('audio', blob, 'audio.wav');\n      } else if (typeof audio === 'string') {\n        formData.append('audio', audio);\n      }\n\n      if (options.language) {\n        if (!['en', 'fr'].includes(options.language)) {\n          throw new Error('Kyutai only supports English (en) and French (fr)');\n        }\n        formData.append('language', options.language);\n      }\n\n      if (options.timestamps !== undefined) {\n        formData.append('timestamps', String(options.timestamps));\n      }\n\n      const response = await makeRequest({\n        url: '/v1/stt/in/kyutai',\n        method: 'POST',\n        data: formData,\n        headers: formData.getHeaders(),\n        responseType: 'json',\n        config,\n      });\n\n      return {\n        text: response.text,\n        confidence: response.confidence,\n        language: response.language || options.language,\n        segments: response.segments,\n      };\n    },\n    languages: ['en', 'fr'],\n  },\n\n  'general': {\n    transcribe: async (audio, options, config) => {\n      const formData = new FormData();\n      \n      if (audio instanceof File) {\n        formData.append('audio', audio, audio.name);\n      } else if (audio instanceof Blob) {\n        formData.append('audio', audio, 'audio.wav');\n      } else if (audio instanceof ArrayBuffer) {\n        const blob = new Blob([audio]);\n        formData.append('audio', blob, 'audio.wav');\n      } else if (typeof audio === 'string') {\n        formData.append('audio', audio);\n      }\n\n      if (options.language) {\n        formData.append('config', JSON.stringify({ language: options.language }));\n      }\n\n      const response = await makeRequest({\n        url: '/v1/stt',\n        method: 'POST',\n        data: formData,\n        headers: formData.getHeaders(),\n        responseType: 'json',\n        config,\n      });\n\n      return {\n        text: response.text,\n        confidence: response.confidence,\n        language: response.language || options.language,\n      };\n    },\n    languages: ['en'],\n  },\n};","import { VoiceAIConfig } from '../client';\nimport { LLMMessage, LLMOptions, LLMResult } from '../llm';\nimport { makeRequest } from '../utils/request';\n\nexport interface LLMProvider {\n  complete: (messages: LLMMessage[], options: LLMOptions, config: VoiceAIConfig) => Promise<LLMResult | ReadableStream>;\n}\n\nexport const LLMProviders: Record<string, LLMProvider> = {\n  'llama-4-scout': {\n    complete: async (messages, options, config) => {\n      const response = await makeRequest({\n        url: '/v1/llm/llama-4-scout',\n        method: 'POST',\n        data: {\n          messages,\n          temperature: options.temperature,\n          max_tokens: options.maxTokens,\n          top_p: options.topP,\n          stream: options.stream,\n        },\n        responseType: options.stream ? 'stream' : 'json',\n        config,\n      });\n\n      if (options.stream) {\n        return response as ReadableStream;\n      }\n\n      return {\n        content: response.choices?.[0]?.message?.content || response.response,\n        usage: response.usage ? {\n          promptTokens: response.usage.prompt_tokens,\n          completionTokens: response.usage.completion_tokens,\n          totalTokens: response.usage.total_tokens,\n        } : undefined,\n      };\n    },\n  },\n\n  'general': {\n    complete: async (messages, options, config) => {\n      const prompt = messages.map(m => `${m.role}: ${m.content}`).join('\\n');\n      \n      const response = await makeRequest({\n        url: '/v1/llm',\n        method: 'POST',\n        data: {\n          prompt,\n          model: options.model,\n        },\n        responseType: 'json',\n        config,\n      });\n\n      return {\n        content: response.response,\n      };\n    },\n  },\n};","import { VoiceAI } from './client';\nimport { providers } from './providers';\n\nexport interface STTOptions {\n  language?: string;\n  format?: string;\n  timestamps?: boolean;\n  diarization?: boolean;\n  [key: string]: any;\n}\n\nexport interface STTResult {\n  text: string;\n  confidence?: number;\n  language?: string;\n  segments?: Array<{\n    text: string;\n    start: number;\n    end: number;\n    confidence?: number;\n  }>;\n}\n\nasync function transcribe(\n  audio: File | Blob | ArrayBuffer | string,\n  model: string,\n  options: STTOptions = {}\n): Promise<STTResult> {\n  const client = VoiceAI.getInstance();\n  const config = client.getConfig();\n  \n  const provider = providers.stt[model];\n  if (!provider) {\n    throw new Error(\n      `Model \"${model}\" not found. Available models: ${Object.keys(providers.stt).join(', ')}\\n` +\n      `Need a different model? Contact founders at hello@slng.ai`\n    );\n  }\n\n  return provider.transcribe(audio, options, config);\n}\n\nexport const stt = {\n  async transcribe(audio: File | Blob | ArrayBuffer | string, model: string, options?: STTOptions): Promise<STTResult> {\n    return transcribe(audio, model, options);\n  },\n  \n  whisper: (audio: File | Blob | ArrayBuffer | string, options?: STTOptions) => \n    transcribe(audio, 'whisper-v3', options),\n  \n  kyutai: (audio: File | Blob | ArrayBuffer | string, options?: STTOptions) => \n    transcribe(audio, 'kyutai', options),\n  \n  models: Object.keys(providers.stt),\n  \n  getLanguages: (model: string): string[] => {\n    const provider = providers.stt[model];\n    return provider?.languages || ['en'];\n  },\n};","import { VoiceAI } from './client';\nimport { providers } from './providers';\n\nexport interface LLMMessage {\n  role: 'system' | 'user' | 'assistant';\n  content: string;\n}\n\nexport interface LLMOptions {\n  temperature?: number;\n  maxTokens?: number;\n  topP?: number;\n  stream?: boolean;\n  [key: string]: any;\n}\n\nexport interface LLMResult {\n  content: string;\n  usage?: {\n    promptTokens: number;\n    completionTokens: number;\n    totalTokens: number;\n  };\n}\n\nasync function complete(\n  messages: LLMMessage[] | string,\n  model: string,\n  options: LLMOptions = {}\n): Promise<LLMResult | ReadableStream> {\n  const client = VoiceAI.getInstance();\n  const config = client.getConfig();\n  \n  const provider = providers.llm[model];\n  if (!provider) {\n    throw new Error(\n      `Model \"${model}\" not found. Available models: ${Object.keys(providers.llm).join(', ')}\\n` +\n      `Need a different model? Contact founders at hello@slng.ai`\n    );\n  }\n\n  const normalizedMessages = typeof messages === 'string' \n    ? [{ role: 'user' as const, content: messages }]\n    : messages;\n\n  return provider.complete(normalizedMessages, options, config);\n}\n\nexport const llm = {\n  async complete(messages: LLMMessage[] | string, model: string, options?: LLMOptions): Promise<LLMResult | ReadableStream> {\n    return complete(messages, model, options);\n  },\n  \n  llamaScout: (messages: LLMMessage[] | string, options?: LLMOptions) => \n    complete(messages, 'llama-4-scout', options),\n  \n  models: Object.keys(providers.llm),\n};","import { makeRequest } from './utils/request';\nimport { VoiceAI } from './client';\n\nexport interface SignupOptions {\n  email: string;\n  password?: string;\n  referralCode?: string;\n}\n\nexport interface LoginOptions {\n  email: string;\n  password: string;\n}\n\nexport interface AccountInfo {\n  email: string;\n  apiKey: string;\n  credits: number;\n  plan: string;\n  usage?: {\n    tts: number;\n    stt: number;\n    llm: number;\n  };\n}\n\nexport class Auth {\n  private static signupUrl = 'https://slng.ai/signup';\n  private static dashboardUrl = 'https://slng.ai/dashboard';\n\n  static async signup(_options: SignupOptions): Promise<{ message: string; apiKey?: string }> {\n    console.log(`\n╔════════════════════════════════════════════╗\n║     Welcome to SLNG.AI Voice Platform!     ║\n╚════════════════════════════════════════════╝\n\nSign up at: ${this.signupUrl}\n\nAfter signing up:\n1. Get your API key from the dashboard\n2. Initialize the SDK:\n\n   new VoiceAI({ apiKey: 'your-api-key' });\n\n3. Start building amazing voice experiences!\n\nNeed help? Contact founders at hello@slng.ai\n`);\n\n    return {\n      message: `Please complete signup at ${this.signupUrl}`,\n    };\n  }\n\n  static async getAccount(): Promise<AccountInfo | null> {\n    try {\n      const client = VoiceAI.getInstance();\n      const config = client.getConfig();\n\n      const response = await makeRequest({\n        url: '/v1/account',\n        method: 'GET',\n        config,\n        responseType: 'json',\n      });\n\n      return response;\n    } catch (error: any) {\n      if (error.message.includes('Authentication failed')) {\n        console.log(`\nNo API key found or invalid key.\n\nGet your API key:\n1. Sign up at ${this.signupUrl}\n2. Visit dashboard at ${this.dashboardUrl}\n3. Copy your API key\n4. Initialize: new VoiceAI({ apiKey: 'your-key' });\n`);\n        return null;\n      }\n      throw error;\n    }\n  }\n\n  static async checkCredits(): Promise<number | null> {\n    const account = await this.getAccount();\n    return account?.credits || null;\n  }\n\n  static showDashboard(): void {\n    console.log(`\n╔═══════════════════════════════════════╗\n║         SLNG.AI Dashboard             ║\n╚═══════════════════════════════════════╝\n\nManage your account: ${this.dashboardUrl}\n\n• View API keys\n• Check credit balance\n• Monitor usage\n• Upgrade plan\n• Access documentation\n\nNeed more credits? Visit ${this.dashboardUrl}/credits\nQuestions? Email hello@slng.ai\n`);\n  }\n\n  static async showPricing(): Promise<void> {\n    try {\n      const { catalogManager } = await import('./utils/catalog');\n      const catalog = await catalogManager.getCatalog();\n      \n      console.log(`\n╔═══════════════════════════════════════╗\n║         SLNG.AI Pricing               ║\n╚═══════════════════════════════════════╝\n\nSimple, transparent pricing:\n\nTEXT-TO-SPEECH (TTS):`);\n      \n      Object.entries(catalog.tts).forEach(([_key, model]) => {\n        console.log(`• ${model.name}: ${model.pricing}`);\n      });\n      \n      console.log(`\nSPEECH-TO-TEXT (STT):`);\n      Object.entries(catalog.stt).forEach(([_key, model]) => {\n        console.log(`• ${model.name}: ${model.pricing}`);\n      });\n      \n      console.log(`\nLANGUAGE MODELS (LLM):`);\n      Object.entries(catalog.llm).forEach(([_key, model]) => {\n        console.log(`• ${model.name}: ${model.pricing}`);\n      });\n      \n      console.log(`\nView full pricing: https://slng.ai/pricing\nGet started: ${this.signupUrl}\n`);\n    } catch (error) {\n      // Fallback to web link if catalog fails\n      console.log(`View current pricing: https://slng.ai/pricing`);\n    }\n  }\n\n  static async showModels(): Promise<void> {\n    try {\n      const { catalogManager } = await import('./utils/catalog');\n      const catalog = await catalogManager.getCatalog();\n      \n      console.log(`\n╔═══════════════════════════════════════╗\n║      Available Voice AI Models        ║\n╚═══════════════════════════════════════╝\n\nTEXT-TO-SPEECH (TTS):`);\n      \n      Object.entries(catalog.tts).forEach(([key, model]) => {\n        console.log(`• ${key} - ${model.description}`);\n        if (model.languages) {\n          console.log(`  Languages: ${model.languages.slice(0, 5).join(', ')}${model.languages.length > 5 ? '...' : ''}`);\n        }\n      });\n      \n      console.log(`\nSPEECH-TO-TEXT (STT):`);\n      Object.entries(catalog.stt).forEach(([key, model]) => {\n        console.log(`• ${key} - ${model.description}`);\n      });\n      \n      console.log(`\nLANGUAGE MODELS (LLM):`);\n      Object.entries(catalog.llm).forEach(([key, model]) => {\n        console.log(`• ${key} - ${model.description}`);\n      });\n      \n      console.log(`\nNeed a different model? \nEmail us at hello@slng.ai\n\nLast updated: ${new Date(catalog.lastUpdated).toLocaleDateString()}\n`);\n    } catch (error) {\n      // Fallback to web link if catalog fails\n      console.log(`View available models: https://slng.ai/models`);\n    }\n  }\n}\n\nexport const auth = Auth;","import { VoiceAI } from './client';\nimport { makeRequest } from './utils/request';\n\n/**\n * Warmup utilities for pre-warming models to avoid cold start delays\n */\nexport class Warmup {\n  /**\n   * Pre-warm a TTS model to avoid cold start delays\n   * @param model - The TTS model to warm up (e.g., 'orpheus', 'elevenlabs/multi-v2')\n   * @returns Promise that resolves when the model is ready\n   */\n  static async tts(model: string): Promise<void> {\n    const client = VoiceAI.getInstance();\n    const config = client.getConfig();\n    \n    try {\n      // Send a minimal request to wake the model\n      await makeRequest({\n        url: `/v1/tts/${model.replace('/', '/')}`,\n        method: 'POST',\n        data: { \n          text: 'Test', \n          warmup: true  // Signal this is a warmup request\n        },\n        config,\n        modelTimeout: 120000, // 2 minutes for warmup\n        responseType: 'json',\n      });\n      \n      console.log(`✓ Model ${model} is warmed up and ready`);\n    } catch (error: any) {\n      // If it's just a warmup, we can ignore some errors\n      if (error.message.includes('timed out')) {\n        console.log(`⚠ Model ${model} is warming up (may take 60-90s for first call)`);\n      } else {\n        throw error;\n      }\n    }\n  }\n\n  /**\n   * Pre-warm an STT model\n   * @param model - The STT model to warm up (e.g., 'whisper-v3')\n   */\n  static async stt(model: string): Promise<void> {\n    const client = VoiceAI.getInstance();\n    const config = client.getConfig();\n    \n    try {\n      // Create minimal audio data (1 second of silence)\n      const sampleRate = 16000;\n      const duration = 1;\n      const audioData = new Float32Array(sampleRate * duration);\n      \n      await makeRequest({\n        url: `/v1/stt/${model}`,\n        method: 'POST',\n        data: {\n          audio: Buffer.from(audioData.buffer).toString('base64'),\n          warmup: true\n        },\n        config,\n        modelTimeout: 120000,\n        responseType: 'json',\n      });\n      \n      console.log(`✓ Model ${model} is warmed up and ready`);\n    } catch (error: any) {\n      if (error.message.includes('timed out')) {\n        console.log(`⚠ Model ${model} is warming up (may take 60-90s for first call)`);\n      } else {\n        // Ignore warmup-specific errors\n        console.log(`✓ Model ${model} warmup attempted`);\n      }\n    }\n  }\n\n  /**\n   * Pre-warm an LLM model\n   * @param model - The LLM model to warm up (e.g., 'llama-4-scout')\n   */\n  static async llm(model: string): Promise<void> {\n    const client = VoiceAI.getInstance();\n    const config = client.getConfig();\n    \n    try {\n      await makeRequest({\n        url: `/v1/llm/${model}`,\n        method: 'POST',\n        data: {\n          messages: [{ role: 'user', content: 'Hi' }],\n          max_tokens: 1,\n          warmup: true\n        },\n        config,\n        modelTimeout: 120000,\n        responseType: 'json',\n      });\n      \n      console.log(`✓ Model ${model} is warmed up and ready`);\n    } catch (error: any) {\n      if (error.message.includes('timed out')) {\n        console.log(`⚠ Model ${model} is warming up (may take 60-90s for first call)`);\n      } else {\n        console.log(`✓ Model ${model} warmup attempted`);\n      }\n    }\n  }\n\n  /**\n   * Pre-warm multiple models in parallel\n   * @param models - Array of model identifiers with their types\n   * @example\n   * await Warmup.multiple([\n   *   { type: 'tts', model: 'orpheus' },\n   *   { type: 'stt', model: 'whisper-v3' },\n   *   { type: 'llm', model: 'llama-4-scout' }\n   * ]);\n   */\n  static async multiple(models: Array<{ type: 'tts' | 'stt' | 'llm', model: string }>): Promise<void> {\n    console.log(`Warming up ${models.length} models...`);\n    \n    const promises = models.map(({ type, model }) => {\n      switch (type) {\n        case 'tts':\n          return this.tts(model);\n        case 'stt':\n          return this.stt(model);\n        case 'llm':\n          return this.llm(model);\n        default:\n          return Promise.resolve();\n      }\n    });\n    \n    await Promise.allSettled(promises);\n    console.log('✓ All models warmed up');\n  }\n}\n\nexport const warmup = Warmup;","export type { TTSOptions, TTSResult } from './tts';\nexport type { STTOptions, STTResult } from './stt';\nexport type { LLMMessage, LLMOptions, LLMResult } from './llm';\nexport type { VoiceAIConfig } from './client';\nexport type { SignupOptions, LoginOptions, AccountInfo } from './auth';\n\nexport type AudioFormat = 'mp3' | 'wav' | 'aac' | 'flac' | 'ogg' | 'pcm';\n\nexport type TTSModel = \n  | 'vui'\n  | 'orpheus'\n  | 'orpheus-indic'\n  | 'koroko'\n  | 'xtts-v2'\n  | 'mars6'\n  | 'elevenlabs/multi-v2'\n  | 'elevenlabs/turbo-v2-5'\n  | 'elevenlabs/v3'\n  | 'elevenlabs/ttv-v3'\n  | 'elevenlabs/flash-v2-5'\n  | 'twi-speecht5';\n\nexport type STTModel = \n  | 'whisper-v3'\n  | 'kyutai'\n  | 'general';\n\nexport type LLMModel = \n  | 'llama-4-scout'\n  | 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