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The MKA1 API can return text, audio, and images. Text is the default output modality. Use modalities and audio to enable speech output, or add the image_generation tool to produce images.

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Supported output types

ModalityHow to enableOutput format
TextDefault — no extra configoutput_text in response
Audio (speech)Set modalities: ["text", "audio"]Base64 audio + transcript
ImageAdd image_generation toolImage URL or base64

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Generate audio (text-to-speech)

Request audio output by setting modalities to ["text", "audio"] and specifying a voice and format in the audio parameter. The response includes both the text transcript and base64-encoded audio data.

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Audio configuration

ParameterOptionsDefault
voicealloy and other voice profilesalloy
formatwav, mp3, flac, opus, pcm16wav
Audio is synthesized at 24 kHz, 16-bit mono. 
mka1 llm responses create \
  -H 'X-On-Behalf-Of: <end-user-id>' \
  --body '{
    "model": "auto",
    "input": "Say hello in a friendly way. Keep it very short.",
    "modalities": ["text", "audio"],
    "audio": { "voice": "alloy", "format": "wav" }
  }'
The response contains an output_audio item with the base64-encoded audio and a transcript of what was spoken: 
{
  "status": "completed",
  "output": [
    {
      "type": "message",
      "role": "assistant",
      "content": [
        { "type": "output_text", "text": "Hello!" }
      ]
    },
    {
      "type": "output_audio",
      "id": "audio_460caf1079b34fa0b4aa74448dff4ea7",
      "data": "<Base64-encoded WAV audio data>",
      "transcript": "Hi there!",
      "status": "completed"
    }
  ]
}
The data field contains the full audio file (268 KB in this example). The transcript field contains the text the model chose to speak — which may differ slightly from the text output.

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Save audio to a file

# Generate audio and extract the base64 data, then decode to a file
mka1 llm responses create \
  --body '{
    "model": "auto",
    "input": "Read this sentence aloud: The quick brown fox jumps over the lazy dog.",
    "modalities": ["text", "audio"],
    "audio": { "voice": "alloy", "format": "mp3" }
  }' \
  --output-format json \
  --jq '.output[] | select(.type == "output_audio") | .data' | base64 -d > output.mp3

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Supported languages

Audio output supports automatic language detection and 20+ languages including English, Chinese, Hindi, Spanish, Arabic, Bengali, Portuguese, Russian, Japanese, Punjabi, German, Korean, French, Turkish, Italian, Thai, Polish, Dutch, Indonesian, Vietnamese, and Urdu.

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Generate images

Use the image_generation tool to create images from text prompts. The model interprets your message, generates a prompt for the image model, and returns the result.

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Image generation models

ModelBest for
meetkai:flux-2-kleinFast generation, general purpose (default)
meetkai:z-image-turboHigh-quality, detailed images

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Image generation options

ParameterOptionsDefault
size1024x1024, 1024x1536, 1536x1024, autoauto
qualitylow, medium, high, autoauto
output_formatpng, webp, jpegpng
backgroundtransparent, opaque, autoauto
mka1 llm responses create --body '{
  "model": "auto",
  "input": "Generate an image of a sunset over a mountain lake.",
  "tools": [
    {
      "type": "image_generation",
      "model": "auto",
      "quality": "high",
      "size": "1024x1024",
      "output_format": "png"
    }
  ]
}'
The response includes an image_generation_call item with the generated image URL and the revised prompt used by the image model: 
{
  "status": "completed",
  "output": [
    {
      "type": "message",
      "role": "assistant",
      "content": [
        {
          "type": "output_text",
          "text": "I'll generate an image of a beautiful sunset over a mountain lake for you."
        }
      ]
    },
    {
      "type": "image_generation_call",
      "id": "ig_abc123",
      "status": "completed",
      "result": "<Generated Image URL>",
      "revised_prompt": "A breathtaking sunset over a pristine mountain lake, with golden and orange hues reflecting on the calm water surface. Snow-capped mountain peaks in the background, dramatic clouds in the sky with vibrant sunset colors of pink, purple, and orange.",
      "size": "auto",
      "quality": "auto",
      "output_format": "png"
    }
  ]
}
The result field contains a URL to the generated image. The revised_prompt shows the expanded prompt the image model used — the LLM enhances your brief instruction into a detailed image description.

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Force image generation

Use tool_choice to ensure the model generates an image rather than responding with text only. 
mka1 llm responses create --body '{
  "model": "auto",
  "input": "A red circle on a white background.",
  "tools": [{ "type": "image_generation" }],
  "tool_choice": { "type": "image_generation" }
}'

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Image output structure

The response output array contains these items when an image is generated:
  1. function_call — the model’s call to the image generation tool with the refined prompt
  2. image_generation_call — the generation result with status: "completed" and result (image URL)
  3. function_call_output — the raw tool output containing the URL
  4. message — the model’s text response describing or referencing the image
Image URLs expire after 1 hour. Download or cache them if you need long-term access.

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Standalone APIs

For direct access without going through the Responses API, MKA1 also provides standalone endpoints:

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Text-to-speech API

mka1 llm speech speak \
  --text 'Hello, welcome to the MKA1 platform.' \
  --language en \
  --output-file output.wav

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Images API

mka1 llm images create \
  --model auto \
  --prompt 'A futuristic city skyline at dusk' \
  --size 1024x1024 \
  --quality hd

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Next steps