curl --request POST \
  --url https://api.vachana.ai/api/v1/tts/inference \
  --header 'Content-Type: application/json' \
  --header 'X-API-Key-ID: <api-key>' \
  --data '
{
  "text": "नमस्ते, आप कैसे हैं?",
  "model": "timbre-v2.5",
  "audio_config": {
    "encoding": "linear_pcm",
    "container": "wav",
    "num_channels": 1,
    "sample_rate": 48000,
    "sample_width": 2
  }
}
'

import requests

url = "https://api.vachana.ai/api/v1/tts/inference"

payload = {
    "text": "नमस्ते, आप कैसे हैं?",
    "model": "timbre-v2.5",
    "audio_config": {
        "encoding": "linear_pcm",
        "container": "wav",
        "num_channels": 1,
        "sample_rate": 48000,
        "sample_width": 2
    }
}
headers = {
    "X-API-Key-ID": "<api-key>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {'X-API-Key-ID': '<api-key>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    text: 'नमस्ते, आप कैसे हैं?',
    model: 'timbre-v2.5',
    audio_config: {
      encoding: 'linear_pcm',
      container: 'wav',
      num_channels: 1,
      sample_rate: 48000,
      sample_width: 2
    }
  })
};

fetch('https://api.vachana.ai/api/v1/tts/inference', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

"<string>"

{
  "success": false,
  "error": {
    "type": "INVALID_REQUEST_ERROR",
    "message": "Invalid text or audio configuration."
  }
}

{
  "success": false,
  "error": {
    "type": "RATE_LIMIT_ERROR",
    "message": "Rate limit exceeded. Please try again later."
  }
}

{
  "success": false,
  "error": {
    "type": "API_ERROR",
    "message": "An unexpected error occurred while processing."
  }
}

{
  "success": false,
  "error": {
    "type": "SERVICE_UNAVAILABLE",
    "message": "Text-to-speech service is temporarily unavailable."
  }
}