> ## Documentation Index
> Fetch the complete documentation index at: https://docs.mka1.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Streaming text to speech

> Convert text to speech with real-time streaming audio delivery.

**Key Features:**
- Low-latency audio streaming - playback can start immediately as chunks arrive
- Automatic language detection
- Multiple format support: MP3 or PCM/WAV
- High-quality audio: 24kHz sample rate, 16-bit mono

**Request Body:**
- `text`: Input text to convert to speech - required
- `language`: Language code (default: "auto") - "auto" for automatic detection, or ISO 639-1 codes: en, zh, hi, es, ar, bn, pt, ru, ja, pa, de, ko, fr, tr, it, th, pl, nl, id, vi, ur
- `format`: Audio format (default: "mp3") - "mp3" for compressed MPEG audio (96 kbps) or "pcm" for uncompressed WAV
- `model`: TTS model identifier (default: "auto") - "auto" selects the default provider; a registry-resolvable id dispatches to the matching provider (note: not all providers support `format: "mp3"`)

**Response:**
- Streams audio chunks in real-time
- Returns `X-Language-Code` header with detected/used language
- Content-Type: `audio/mpeg` (MP3) or `audio/wav` (PCM)
- When `store` is `true`, returns the `X-Tts-Id` header with the id the history record will be stored under; persistence is best-effort and completes shortly after the stream ends

**Use Cases:**
- Real-time applications requiring immediate audio playback
- Interactive voice responses
- Low-latency text-to-speech scenarios



## OpenAPI

````yaml https://apigw.mka1.com/speakeasy.json post /api/v1/llm/speech/tts/stream
openapi: 3.1.1
info:
  title: MKA1 API
  version: 1.1.0
  description: >-
    The MKA1 API is a RESTful API that provides access to the MKA1 platform.
    Learn how to get started with the API and the TypeScript SDK
    [here](https://mka1.apidocumentation.com/guides/getting-started).
  license:
    name: Proprietary
servers:
  - url: https://apigw.mka1.com
    description: MKA1 API Gateway
  - url: /
    description: Relative server URL (configurable via SDK constructor)
security: []
tags:
  - name: Resource Authorization
    description: >-
      Manage permissions for LLM resources. Create resources, grant/revoke
      permissions, and delete resources. Only resource owners can grant, revoke,
      or delete permissions.
    x-displayName: Resource Authorization
  - name: Embeddings
    description: >-
      Text embedding API endpoints for generating vector representations of
      text. Create semantic embeddings for search, clustering, and similarity
      matching using various embedding models.
    x-displayName: Embeddings
  - name: Feedback
    description: >-
      User feedback API for rating and commenting on chat completions. Collect
      thumbs up/down ratings and detailed feedback to improve model responses
      and track user satisfaction.
    x-displayName: Feedback
  - name: Images
    description: >-
      Image generation API endpoints for creating images from text descriptions.
      Generate images with control over size, quality, and style.
    x-displayName: Images
  - name: MCP Vault
    description: >-
      MCP vault API for storing user-owned MCP server configurations and
      encrypted credentials. Agents reference vault IDs so secrets are resolved
      only at tool execution time.
    x-displayName: MCP Vault
  - name: Speech
    description: >-
      Speech API endpoints for audio processing. Convert text to
      natural-sounding speech (TTS) or transcribe speech to text (STT) in
      different languages.
    x-displayName: Speech
  - name: Usage
    description: >-
      Usage tracking and analytics API for monitoring token consumption, request
      counts, and cost analysis. View detailed statistics per user, model, and
      time period.
    x-displayName: Usage
  - name: Extract
    description: >-
      Structured data extraction API for extracting information from files.
      Define JSON schemas to extract structured data from images, PDFs, and
      documents. Supports reusable schema templates.
    x-displayName: Extract
  - name: Text Classification
    description: >-
      Text classification API for categorizing text into predefined labels. Use
      AI models to classify text content for sentiment analysis, topic
      categorization, and content moderation.
    x-displayName: Text Classification
  - name: Responses
    description: >-
      Agent-powered responses API for creating AI agents with autonomous tool
      usage. Build conversational assistants that can use web search, file
      operations, image generation, code execution, computer use simulation, and
      MCP integrations. Supports background processing, streaming, and real-time
      status tracking.
    x-displayName: Responses
  - name: Files
    description: >-
      File management API for uploading, storing, and managing files with
      automatic expiration and S3 integration. Upload files that can be used
      with Assistants, Vector Stores, and other features. Files are stored in S3
      with metadata tracked in PostgreSQL. Supports automatic cleanup of expired
      files.
    x-displayName: Files
  - name: Vector Stores
    description: >-
      Vector store API for storing and searching documents using embeddings.
      Create vector stores, upload files with automatic chunking and embedding
      generation, and perform semantic search. Files are processed
      asynchronously using Temporal workflows for durability. Supports automatic
      cleanup of expired stores and LanceDB for efficient vector storage.
    x-displayName: Vector Stores
  - name: Conversations
    description: >-
      Conversation management API for storing and retrieving conversation state
      across Response API calls. Create conversations, add items (user messages,
      assistant messages, system messages), and maintain conversation history.
      Supports metadata tracking and multi-turn dialogue state management.
    x-displayName: Conversations
  - name: Guardrails
    description: >-
      AI safety guardrails API for configuring content moderation and security
      policies. Set up ban word lists, prompt injection detection, and system
      prompt leakage prevention. Guardrails apply to all requests from an
      account and can be tested before deployment.
    x-displayName: Guardrails
  - name: Models
    description: >-
      Model listing API for discovering available models. Returns model IDs,
      ownership, and metadata for all registered models in the gateway.
    x-displayName: Models
  - name: Skills
    description: >-
      Skills API for managing versioned bundles of instructions and files
      following the Agent Skills standard. Create, version, and download
      reusable skill packages that include SKILL.md manifests for agent
      environments.
    x-displayName: Skills
  - name: Chat Completions
    description: >-
      **Deprecated: Use the Responses API (`/api/v1/llm/responses`) instead.**
      Chat completion endpoints with support for streaming, tool calls, and
      multiple providers.
    x-deprecated: true
    x-displayName: Chat Completions
  - name: Batches
    x-displayName: Batches
  - name: Evals
    x-displayName: Evals
  - name: Fine-Tuning
    x-displayName: Fine-Tuning
  - name: Memory Stores
    x-displayName: Memory Stores
  - name: Prompts
    x-displayName: Prompts
  - name: API Key
    x-displayName: API Key
  - name: Organization
    x-displayName: Organization
  - name: Cluster Admin
    x-displayName: Cluster Admin
  - name: Sessions
    description: Create, inspect, access, and terminate sandbox sessions.
    x-displayName: Sessions
  - name: Browser
    description: >-
      Connect to browser sessions through the gateway port proxy. Browser
      sessions expose a Chrome DevTools Protocol endpoint on port 9222.
    x-displayName: Browser
  - name: Execution
    description: Run shell commands and code inside an existing sandbox session.
    x-displayName: Execution
  - name: Workspace
    description: >-
      Inspect the workspace manifest, transfer files or archives, and download
      generated artifacts.
    x-displayName: Workspace
  - name: Sandbox Usage
    description: >-
      Aggregate sandbox usage statistics across sessions, execution, and
      workspace operations.
    x-displayName: Sandbox Usage
  - name: Sandbox Pricing
    description: >-
      Cluster-admin management of the sandbox compute rate card used for
      budgeted spend.
    x-displayName: Sandbox Pricing
  - name: Agents
    description: Create and manage reusable agent definitions.
    x-displayName: Agents
  - name: Agent Versions
    description: Inspect an agent's configuration history and roll back to a prior version.
    x-displayName: Agent Versions
  - name: Agent Runs
    description: Execute saved agents and inspect persisted run results.
    x-displayName: Agent Runs
  - name: Agent Connectors
    description: >-
      Connect saved agents to external messaging channels such as Telegram,
      including text, photo, and supported document exchange.
    x-displayName: Agent Connectors
  - name: Agent Schedules
    description: Create and manage scheduled or recurring saved agent runs.
    x-displayName: Agent Schedules
  - name: schema-4_other
    x-displayName: other
  - name: Budgets
    x-displayName: Budgets
  - name: Settings
    x-displayName: Settings
  - name: Deployments
    description: Long-lived inference servers.
    x-displayName: Deployments
  - name: Fine-Tune Jobs
    description: Submit, monitor, and cancel fine-tune jobs.
    x-displayName: Fine-Tune Jobs
  - name: Container Images
    description: Custom container images for deployments and jobs.
    x-displayName: Container Images
  - name: Serving Models
    description: Models registered for deployment and fine-tuning.
    x-displayName: Serving Models
  - name: Volumes
    description: Persistent storage for weights and checkpoints.
    x-displayName: Volumes
  - name: Secrets
    description: Credentials injected into your workloads.
    x-displayName: Secrets
  - name: Accelerators
    description: Available accelerator types (GPU, NPU, TPU).
    x-displayName: Accelerators
paths:
  /api/v1/llm/speech/tts/stream:
    post:
      tags:
        - Speech
      summary: Streaming text to speech
      description: >-
        Convert text to speech with real-time streaming audio delivery.


        **Key Features:**

        - Low-latency audio streaming - playback can start immediately as chunks
        arrive

        - Automatic language detection

        - Multiple format support: MP3 or PCM/WAV

        - High-quality audio: 24kHz sample rate, 16-bit mono


        **Request Body:**

        - `text`: Input text to convert to speech - required

        - `language`: Language code (default: "auto") - "auto" for automatic
        detection, or ISO 639-1 codes: en, zh, hi, es, ar, bn, pt, ru, ja, pa,
        de, ko, fr, tr, it, th, pl, nl, id, vi, ur

        - `format`: Audio format (default: "mp3") - "mp3" for compressed MPEG
        audio (96 kbps) or "pcm" for uncompressed WAV

        - `model`: TTS model identifier (default: "auto") - "auto" selects the
        default provider; a registry-resolvable id dispatches to the matching
        provider (note: not all providers support `format: "mp3"`)


        **Response:**

        - Streams audio chunks in real-time

        - Returns `X-Language-Code` header with detected/used language

        - Content-Type: `audio/mpeg` (MP3) or `audio/wav` (PCM)

        - When `store` is `true`, returns the `X-Tts-Id` header with the id the
        history record will be stored under; persistence is best-effort and
        completes shortly after the stream ends


        **Use Cases:**

        - Real-time applications requiring immediate audio playback

        - Interactive voice responses

        - Low-latency text-to-speech scenarios
      operationId: textToSpeechStreaming
      parameters:
        - name: X-On-Behalf-Of
          in: header
          required: false
          schema:
            type: string
          description: Optional external end-user identifier forwarded by the API gateway.
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/TextToSpeechStreamingRequest'
            example:
              text: Hello, welcome to our text-to-speech service.
              language: en
              format: mp3
      responses:
        '200':
          description: Streaming audio in MP3 or PCM/WAV format with language code header
          headers:
            X-Language-Code:
              description: The language code used for speech synthesis
              schema:
                type: string
            X-Tts-Id:
              description: >-
                ID the text-to-speech history record will be stored under.
                Present only when the request set `store: true`. Persistence is
                best-effort and completes shortly after the stream ends, so an
                immediate lookup can briefly 404 — and if the write fails or is
                skipped (audio over the 25MB history cap), the id is never
                assigned and lookups keep returning 404.
              schema:
                type: string
            Content-Type:
              description: Audio format (determined by format parameter)
              schema:
                type: string
                enum:
                  - audio/mpeg
                  - audio/wav
          content:
            audio/mpeg:
              example: (binary)
              schema:
                type: string
                format: binary
                description: >-
                  MP3 audio stream (when format=mp3): 24kHz sample rate, 96 kbps
                  bitrate, 16-bit, mono
            audio/wav:
              example: (binary)
              schema:
                type: string
                format: binary
                description: >-
                  PCM/WAV audio stream (when format=pcm): 24kHz sample rate,
                  16-bit, mono
      security:
        - bearerAuth: []
      x-codeSamples:
        - lang: python
          label: Python (SDK)
          source: |-
            from meetkai_mka1 import SDK


            with SDK(
                bearer_auth="<YOUR_BEARER_TOKEN_HERE>",
            ) as sdk:

                res = sdk.llm.speech.speak_streaming(text="Hello, welcome to our text-to-speech service.", language="en", model="auto", store=False, format_="mp3")

                # Handle response
                print(res)
        - lang: typescript
          label: Typescript (SDK)
          source: |-
            import { SDK } from "@meetkai/mka1";

            const sdk = new SDK({
              bearerAuth: "<YOUR_BEARER_TOKEN_HERE>",
            });

            async function run() {
              const result = await sdk.llm.speech.speakStreaming({
                textToSpeechStreamingRequest: {
                  text: "Hello, welcome to our text-to-speech service.",
                  language: "en",
                },
              });

              console.log(result);
            }

            run();
        - lang: csharp
          label: CSharp (SDK)
          source: >-
            using MeetKai.MKA1;

            using MeetKai.MKA1.Types.Components;


            var sdk = new SDK(bearerAuth: "<YOUR_BEARER_TOKEN_HERE>");


            var res = await sdk.Llm.Speech.SpeakStreamingAsync(body: new
            MeetKai.MKA1.Types.Components.TextToSpeechStreamingRequest() {
                Text = "Hello, welcome to our text-to-speech service.",
                Language = TextToSpeechStreamingRequestLanguage.En,
            });


            // handle response
components:
  schemas:
    TextToSpeechStreamingRequest:
      type: object
      properties:
        text:
          type: string
          minLength: 1
          description: Input text to convert to speech
        language:
          enum:
            - auto
            - en
            - zh
            - hi
            - es
            - ar
            - bn
            - pt
            - ru
            - ja
            - pa
            - de
            - ko
            - fr
            - tr
            - it
            - th
            - pl
            - nl
            - id
            - vi
            - ur
          type: string
          default: auto
          description: >-
            Language code: 'auto' for automatic detection, or ISO 639-1 language
            codes
        model:
          type: string
          default: auto
          description: >-
            TTS model identifier. Defaults to 'auto', which selects the default
            provider. Registry-resolvable ids dispatch to the matching provider.
          examples:
            - auto
        store:
          type: boolean
          default: false
          description: >-
            When true, persist this generation (input text, parameters, and the
            generated audio) to text-to-speech history. Defaults to false.
        format:
          enum:
            - mp3
            - pcm
          type: string
          default: mp3
          description: >-
            Audio output format: 'mp3' for MPEG audio (default), or 'pcm' for
            uncompressed PCM/WAV (24kHz, 16-bit, mono)
      required:
        - text
      description: >-
        Request parameters for streaming text-to-speech conversion with language
        selection and format options.
  securitySchemes:
    bearerAuth:
      type: http
      scheme: bearer
      bearerFormat: API Key
      description: >-
        Gateway auth: send `Authorization: Bearer <mka1-api-key>`. For
        multi-user server-side integrations, you can also send `X-On-Behalf-Of:
        <external-user-id>`.

````