> Discover all available pages from the documentation index: https://mastra.zisheng.pro/zh-HK/llms.txt # voice.send() `send()` 方法會將音訊資料實時串流至語音 Provider,以供持續處理。此方法對實時語音對語音對話至關重要,讓你可將咪高峰輸入直接傳送至 AI 服務。 ## 使用範例 ```typescript import { OpenAIRealtimeVoice } from '@mastra/voice-openai-realtime' import Speaker from '@mastra/node-speaker' import { getMicrophoneStream } from '@mastra/node-audio' const speaker = new Speaker({ sampleRate: 24100, // Audio sample rate in Hz - standard for high-quality audio on MacBook Pro channels: 1, // Mono audio output (as opposed to stereo which would be 2) bitDepth: 16, // Bit depth for audio quality - CD quality standard (16-bit resolution) }) // Initialize a real-time voice provider const voice = new OpenAIRealtimeVoice({ realtimeConfig: { model: 'gpt-5.1-realtime', apiKey: process.env.OPENAI_API_KEY, }, }) // Connect to the real-time service await voice.connect() // Set up event listeners for responses voice.on('writing', ({ text, role }) => { console.log(`${role}: ${text}`) }) voice.on('speaker', stream => { stream.pipe(speaker) }) // Get microphone stream (implementation depends on your environment) const microphoneStream = getMicrophoneStream() // Send audio data to the voice provider await voice.send(microphoneStream) // You can also send audio data as Int16Array const audioBuffer = getAudioBuffer() // Assume this returns Int16Array await voice.send(audioBuffer) ``` ## 參數 **audioData** (`NodeJS.ReadableStream | Int16Array`): 要傳送至語音 Provider 的音訊資料。可以是可讀串流(例如咪高峰串流),亦可以是包含音訊樣本的 Int16Array。 ## 傳回值 傳回 `Promise`,並在語音 Provider 接受音訊資料後 resolve。 ## 注意事項 - 此方法只由支援語音對語音功能的實時語音 Provider 實作 - 如在不支援此功能的語音 Provider 上呼叫,系統會記錄警告並立即 resolve - 使用 `send()` 前必須先呼叫 `connect()`,以建立 WebSocket 連線 - 音訊格式要求視乎個別語音 Provider - 進行持續對話時,通常會呼叫 `send()` 傳送使用者音訊,然後呼叫 `answer()` 觸發 AI 回應 - Provider 處理音訊時,通常會發出包含轉錄文字的 'writing' 事件 - AI 回應時,Provider 會發出包含音訊回應的 'speaking' 事件