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Adding models

Add Resemble AI Text-to-Speech to the AI Gateway using Custom Endpoints.
1

Create a Custom Endpoint provider account

In the TrueFoundry dashboard, go to AI Gateway → Models → Custom Endpoints and click Add Custom Endpoint.In Configure Account, set:
  • Name: any unique name (this becomes {providerAccountName} in the URL)
  • Endpoint Type: None (or any value you use for tracking)
  • Header Auth: keep disabled
Create a Custom Endpoint provider account
2

Add a Resemble AI TTS endpoint

Click Add Endpoint (or Add Endpoint from the list view) and configure the integration:
  • Display Name: any name (this becomes {endpointName} in the URL)
  • Base URL: https://f.cluster.resemble.ai/synthesize
Enable Custom Headers and add:
  • Content-Type: application/json
  • Authorization: Bearer <resemble-api-token>
Custom Endpoint form for Resemble AI with Base URL and custom headers
This Authorization header is sent from the gateway to Resemble AI. Your client should only send the TrueFoundry API key to the gateway.
3

Set access control and save

On the Access Control step, add the users/teams who can view/use this provider account, then Save.
Access control step showing who can edit and who can access
Custom Endpoints list showing resemble-tts-model

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Inference

Once saved, call your endpoint through the gateway’s proxy-api path. URL shape and path rules are documented under Custom Endpoints.

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Supported APIs

APIEndpointTracingCost Tracking
Text-to-Speech/proxy-api/{providerAccountName}/{endpointName}/✅
Before you start: Replace {GATEWAY_BASE_URL} with your gateway base URL (how to find it) and set TFY_API_KEY to your TrueFoundry API key.
import base64
import os

import requests

GATEWAY_BASE_URL = "{GATEWAY_BASE_URL}"
TFY_API_KEY = os.environ.get("TFY_API_KEY", "your-tfy-api-key")

# providerAccountName = Custom Endpoint account name
# endpointName = integration display name
URL = f"{GATEWAY_BASE_URL}/proxy-api/{providerAccountName}/{endpointName}/"

HEADERS = {
    "Authorization": f"Bearer {TFY_API_KEY}",
    "Content-Type": "application/json",
    # Recommended for consistent binary/base64 handling with some proxies
    "Accept-Encoding": "identity",
}

BODY = {
    "voice_uuid": "55592656",
    "data": "Hello from Resemble!",
}

OUTPUT_FILE = "output_audio.wav"

response = requests.post(URL, headers=HEADERS, json=BODY, timeout=120)
response.raise_for_status()

audio_b64 = response.json()["audio_content"]
with open(OUTPUT_FILE, "wb") as f:
    f.write(base64.b64decode(audio_b64))

print(f"saved: {OUTPUT_FILE}")
Support scope: We do not support all APIs through this integration. Only HTTPS and non-streaming requests are supported. We will add more support over time, including additional endpoints on customer request. Send a request to support@truefoundry.com.