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for MT AI Services","maintainers":[{"name":"moorethreads","email":"gmoomoon@gmail.com"}],"readme":"# MT AI SDK\n\nA TypeScript SDK for integrating with the MT AI service in browser applications.\n\n## Installation\n\n```bash\nnpm install mtai\n```\n\n## Usage\n\n### Digital Human States\n\nThe digital human can be in one of several states:\n\n1. **sleeping**: The default inactive state. The digital human is not listening or responding.\n\n2. **listening**: The digital human is awake and actively listening for user input. This state is entered after a \"wakeup\" command or when the previous interaction has completed.\n\n3. **talking**: The digital human is speaking in response to user input. During this state, it may not process new voice commands.\n\n4. **sleep_talking**: A special state where the digital human responds to text input while remaining in sleep mode. In this state, it will provide text responses without audio output or animation. This is useful for quiet interactions or when audio responses are not desired.\n\nYou can monitor these states through the status_change event\n\n## Integrate Digital Human\n\n```typescript\nimport { createDH2DSession } from 'mtai';\n\n// Initialize the 2d digital human session\nconst session = createDH2DSession(divElement, { audioInput: true, videoId: 'YOUR_VIDEO_ID' })\n\n// wakeup the 2d digital human\nsession.send({ type: 'wakeup' })\n\n// tell the 2d digital human to sleep\nsession.send({ type: 'sleep' })\n\n// set system-prompt\nsession.config({ \n  message_prefix: [{\n    role: 'system',\n    content: 'You are a helpful assistant'\n  }]\n})\n\n// send text input to the digital human\nsession.send({ type: 'input', text: 'Hello, how are you?' })\n\n// make the digital human speak specific text\nsession.send({ type: 'input', bot_text: 'I will say exactly this text.' })\n\n// control ASR (Automatic Speech Recognition) session\nsession.send({ type: 'asr_session', command: 'start' }) // start listening\nsession.send({ type: 'asr_session', command: 'stop' }) // stop listening\n\n// configure advanced settings\nsession.config({\n  asr_model: 'remote',\n  tts_model: 'remote',\n  mode: 'duplex',\n  llm_service: {\n    provider: 'openai',\n    endpoint: 'https://api.openai.com/v1/chat/completions',\n    token: 'your-api-token'\n  },\n  llm_config: {\n    model: 'gpt-4',\n    temperature: 0.7,\n    max_tokens: 150\n  }\n})\n\n// configure FAQ-based responses\nsession.config({\n  llm_service: {\n    provider: 'faq',\n    config_file: 'path/to/your/faq.json'  // Path to your FAQ configuration file\n  }\n})\n\n// print the subtitle\nsesson.on('message', (msg) => {\n  if (msg.type == 'audio_text') {\n    console.log(msg.text)\n  }\n})\n\n```\n\n## Available Configuration Choices\n\nThe SDK provides methods to retrieve available configuration options for various components of the digital human system. This is useful for discovering supported voices, avatars, and other configurable elements.\n\n```typescript\nimport { getAvailableVoices, getAvailableAvatars, getLlmModels } from 'mtai';\n\n// Get available TTS voices\nconst voices = await getAvailableVoices();\nconsole.log('Available voices:', voices);\n\n\n// Get available avatars\nconst avatars = await getAvailableAvatars();\nconsole.log('Available avatars:', avatars);\n\n// Get available LLM models\nconst llmModels = await getLlmModels();\nconsole.log('Available LLM models:', llmModels);\n\n// You can then use these values in your configuration\nsession.config({\n  voice: voices[0].code,  // Use the first available voice\n  llm_service: llmModels[0].service,\n  llm_config: llmModels[0].config\n});\n```\n\n## Custom Endpoint Configuration\n\nYou can configure the SDK to use a custom backend endpoint, for example, when connecting to a self-hosted or on-premise server. This is done using the `setConfig` method before initializing your session.\n\n> setConfig must be called before creating sessions.\n\n**Example:**\n\n```typescript\nsetConfig({\n  endpoint: 'http://your_server_ip:32101'\n});\n```\n\n\n## Component Management\n\nComponents in the SDK refer to items like custom avatars and local ASR (Automatic Speech Recognition) models. The SDK allows you to monitor the status of these components, trigger updates, and cancel ongoing updates. \n\n```typescript\nimport { observeComponents, updateComponent, cancelUpdateComponent } from 'mtai';\n\n// Observe component status changes\nconst unsubscribe = observeComponents((components) => {\n  components.forEach(component => {\n    console.log(`Component ${component.name}: ${component.status}`);\n  });\n});\n\n// Update a specific component\nawait updateComponent('component-name');\n\n// Cancel an ongoing update for a component\nawait cancelUpdateComponent('component-name');\n\n// Don't forget to unsubscribe when done\nunsubscribe();\n```\n\n\n\n\n\n## Development\n\n### Prerequisites\n\n- Node.js (v14 or higher)\n- npm (v6 or higher)\n\n### Setup\n\n1. Clone the repository\n2. Install dependencies:\n   ```bash\n   npm install\n   ```\n\n### Building\n\n```bash\nnpm run build\n```\n\n### Testing\n\n```bash\nnpm test\n```\n\n### Linting\n\n```bash\nnpm run lint\n```\n\n## License\n\nMIT ","readmeFilename":"README.md"}