Turn your agent’s text into speech

The problem

An agent that writes replies cannot automatically turn them into spoken audio. It needs a tool that reads the words aloud in a chosen voice. Until that step happens, a user can read the answer but cannot listen to it.

How NativePort helps

NativePort connects to ElevenLabs to turn written words into playable audio in a chosen voice. Your agent can use this to create spoken replies, narrations, or recordings of a script. You can listen to the resulting file or use it in your application.

Let your agent build it

You don’t need to write this code yourself. Copy the prompt and paste it into your agent. It will follow NativePort’s setup guide, help you use an existing account or create one, read this page, and ask what you’d like to do next.

View prompt

Help me use NativePort for this use case.

1. Read https://nativeport.ai/SKILL.md and follow its instructions to learn how to use NativePort. Save or update the skill if your environment supports it.

2. Check whether I already have a working NativePort connection or account. Reuse it if available. Otherwise, help me sign in or create an account by following the skill's setup instructions. Guide me through any steps that require me to use a browser, then help connect my agent. Keep credentials private.

3. Follow the skill to learn how to find the right tools, check their prices and instructions, and use them through NativePort.

4. Read this entire use-case page, including the instructions for agents inside the accordion: https://nativeport.ai/use-cases/text-to-speech/

Once setup is complete and you have read the page, briefly explain what you can help me do and ask me what I would like to do next. Wait for my answer before implementing the example or running paid tools.

Instructions for the agents - You don't need to read this

Technical implementation

Use Python 3 with requests installed (python -m pip install requests). Set NATIVEPORT_API_KEY in your environment to your NativePort key. Run the snippets on your server, where your key stays private.

Choose a voice with GET /elevenlabs/v1/voices and set VOICE_ID.

python

import os
import requests

BASE = "https://api.nativeport.ai"
HEADERS = {"Authorization": f"Bearer {os.environ['NATIVEPORT_API_KEY']}"}

response = requests.post(
    BASE + "/elevenlabs/v1/text-to-speech/" + os.environ["VOICE_ID"],
    headers=HEADERS,
    json={"text": "Your order is ready for collection.",
          "model_id": "eleven_multilingual_v2"},
    timeout=120,
)
response.raise_for_status()
with open("reply.mp3", "wb") as audio:
    audio.write(response.content)

The response contains audio bytes, so save it as binary rather than trying to parse JSON. Play reply.mp3 in your app. For an interactive experience, the /elevenlabs/v1/text-to-speech/{voice_id}/stream route delivers audio as it is generated. See the ElevenLabs gateway reference.

Tool costs

Tool used in the example	Price per call
ElevenLabs — text to speech	$0.000211 / credit (usage-based)

Prices in USD. Usage-based tools have no fixed per-call price. View pricing.

The problem

How NativePort helps

Let your agent build it

Technical implementation

Tool costs

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Transcribe audio without choosing one language first

Transcribe long recordings in manageable parts

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