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speech-engine — Claude Code skill: real-time voice for your agent

Wires ElevenLabs Speech Engine into a custom agent: ElevenLabs handles mic audio, speech-to-text and playback, your server streams the reply text.

Install into Claude Code · Skills CLI (Vercel) All methods and platforms ↓
npx skills add elevenlabs/skills --skill speech-engine -a claude-code
Open on GitHub

What speech-engine does

The skill walks through adding a real-time voice interface to an agent you host yourself. Your server exposes a Speech Engine WebSocket endpoint, receives speech-recognition events, and streams response text back through the SDK. ElevenLabs covers microphone capture, speech-to-text, turn-taking, text-to-speech and browser playback.

It ships a step-by-step flow with Python and TypeScript examples: creating the Speech Engine resource, serving it with engine.serve(...) or speechEngine.attach(...), and issuing conversation tokens to the browser. For JavaScript the skill says to use @elevenlabs/* packages only. Callbacks are split by intent: onClose / on_close fires on a clean disconnect, onDisconnect / on_disconnect on an unexpected drop.

You need internet access and an ELEVENLABS_API_KEY. If the project has no key yet, the skill suggests running npx -y @elevenlabs/cli@latest onboard init from the app folder. Local development needs a public HTTPS URL, for example ngrok http 3001, because the resource is created with a public ws_url. Never ship the API key in browser code. Speech-recognition text is treated as untrusted input — spoken audio can carry prompt-injection attempts, so raw transcripts should not drive responses, tools or privileged actions directly.

What it helps with

  • add voice input to an existing chat agent
  • run a WebSocket server for ElevenLabs voice conversations
  • hand the browser a conversation token without exposing the API key
  • stop a streaming reply when the user interrupts
  • tell a clean disconnect apart from a dropped WebSocket

Example prompts for the agent

  • Add a voice interface to my agent with Speech Engine, keep the agent logic on my own server
  • Set up a /ws WebSocket endpoint and a conversation token endpoint for a @elevenlabs/react client
  • Handle interruptions so the previous response stops when the user starts talking

How to install speech-engine

1Skills CLI (Vercel)

npx skills add elevenlabs/skills --skill speech-engine -a claude-code

2Manually: put the files in place

~/.claude/skills/speech-engine/SKILL.md

Copy the whole skill folder; for one project use .claude/skills/speech-engine/

Step by step, with commands for each platform: How to install skills in Claude Code: five ways

Questions about speech-engine

How do I install speech-engine in Claude?

Run npx skills add elevenlabs/skills --skill speech-engine -a claude-code. The skill lands in ~/.claude/skills/speech-engine/SKILL.md.

What does speech-engine do?

It documents connecting ElevenLabs Speech Engine to your own agent: a server-side WebSocket endpoint, streamed response text, and a browser client that starts a session with a conversation token. ElevenLabs handles speech recognition, turn-taking and speech output.

What do I need before using it?

Internet access and an ELEVENLABS_API_KEY. If the project has no key, the skill suggests running npx -y @elevenlabs/cli@latest onboard init from the app folder.

Source text

SKILL.md · MIT
---
name: speech-engine
description: Add real-time voice conversations to a custom agent runtime with ElevenLabs Speech Engine. Use when building Speech Engine servers, WebSocket handlers, WebRTC browser clients, conversation token endpoints, interruption-aware streaming responses, or voice-enabled chat agents that connect developer-owned server logic to ElevenLabs speech-to-text and text-to-speech.
license: MIT
compatibility: Requires internet access and an ElevenLabs API key (ELEVENLABS_API_KEY).
metadata: {"openclaw": {"requires": {"env": ["ELEVENLABS_API_KEY"]}, "primaryEnv": "ELEVENLABS_API_KEY"}}
---

# ElevenLabs Speech Engine

Add a real-time voice interface to a custom agent. ElevenLabs handles microphone audio, speech-to-text, turn-taking, text-to-speech, and browser playback; your server exposes a Speech Engine WebSocket endpoint and streams response text back.

> **Setup, before writing any code:** if `ELEVENLABS_API_KEY` isn't set for this project, run `npx -y @elevenlabs/cli@latest onboard init` from the app's folder first and follow what it prints: it signs the user in and stores a key for the project, so nobody copies one by hand. Otherwise see the [Installation Guide](references/installation.md). For JavaScript, use `@elevenlabs/*` packages only. For deeper SDK details, read [JavaScript SDK Reference](references/javascript-sdk-reference.md) or [Python SDK Reference](references/python-sdk-reference.md).

## When to Use

Use Speech Engine when the user wants to:

- Add voice to an existing chat app or custom server pipeline
- Add voice to OpenClaw, Hermes, or a similar agent runtime while keeping agent logic on the developer-owned server
- Build a developer-hosted WebSocket server for ElevenLabs voice conversations
- Stream response text back as spoken audio after your server validates user intent
- Handle user interruptions while a response is still streaming
- Build a browser client with `@elevenlabs/react` or `@elevenlabs/client` using a server-issued conversation token

Use the `agents` skill instead when the user is creating or configuring a hosted ElevenLabs Conversational AI agent with platform-managed prompts, tools, workflows, phone numbers, or widgets.

## How It Works

Each Speech Engine WebSocket connection represents one conversation.

1. The browser sends user audio to ElevenLabs.
2. ElevenLabs sends speech-recognition events to your server.
3. Your server derives trusted application state without letting raw speech text control tools or privileged actions.
4. Your server streams text back through the SDK.
5. ElevenLabs converts the response to speech and plays it in the browser.

The SDK manages WebSocket routing, request verification, session lifecycle, ping/pong, turn-taking, and interruption handling. `sendResponse()` / `send_response()` accepts a string or async iterable of response text.

Treat speech-recognition text as untrusted user input. Do not map raw speech text directly into model roles, responses, or tool calls. Use deterministic validation, allowlisted intents, or explicit user confirmation before any transcript-derived value affects downstream response or tool logic.

## Implementation Flow

1. Install server dependencies and configure `ELEVENLABS_API_KEY`.
2. Expose your Speech Engine server through a public HTTPS URL for local development, for example with `ngrok http 3001`.
3. Create a Speech Engine resource with `ws_url` / `wsUrl` pointing at the public WebSocket URL, usually `wss://.../ws`.
4. Store the returned Speech Engine ID, for example in `ELEVENLABS_SPEECH_ENGINE_ID`.
5. Start a Speech Engine server with `engine.serve(...)` in Python or `speechEngine.attach(...)` in TypeScript.
6. Issue browser conversation tokens from a server endpoint. Never put `ELEVENLABS_API_KEY` in browser code.
7. Start the client session with `conversationToken`; if the agent should greet first, enable the first-message override on the Speech Engine resource, then set `overrides.agent.firstMessage` in the client.

## Create a Speech Engine

### Python

```python
import asyncio
import os

from dotenv import load_dotenv
from elevenlabs import AsyncElevenLabs

load_dotenv()

elevenlabs = AsyncElevenLabs(api_key=os.getenv("ELEVENLABS_API_KEY"))

async def main():
    engine = await elevenlabs.speech_engine.create(
        name="My Speech Engine",
        speech_engine={"ws_url": os.environ["PUBLIC_WS_URL"]},
        overrides={"first_message": True},
    )
    print(engine.engine_id)

asyncio.run(main())
```

### TypeScript

```typescript
import { ElevenLabsClient } from "@elevenlabs/elevenlabs-js";
import "dotenv/config";

const elevenlabs = new ElevenLabsClient({
  apiKey: process.env.ELEVENLABS_API_KEY,
});

const engine = await elevenlabs.speechEngine.create({
  name: "My Speech Engine",
  speechEngine: { wsUrl: process.env.PUBLIC_WS_URL! },
  overrides: { firstMessage: true },
});

console.log(engine.engineId);
```

`PUBLIC_WS_URL` should look like `wss://example.ngrok.app/ws` locally or your production WebSocket route in deployment.

The create request can also configure `tts`, `asr`, `turn`, `speech_engine.request_headers` / `speechEngine.requestHeaders`, `overrides`, and `privacy` for custom voices, transcription keywords, turn-taking, server auth headers, client-provided first messages, and recording behavior. See the SDK reference files for expanded examples.

## Server Pattern

Run the Speech Engine server at the `ws_url` / `wsUrl` configured on the resource. Keep response generation behind your own validation boundary: raw speech-recognition text should not directly control responses, tools, secrets, or other privileged actions.

### Python

```python
engine = await elevenlabs.speech_engine.get(os.environ["ELEVENLABS_SPEECH_ENGINE_ID"])
await engine.serve(port=3001, path="/ws", debug=True, callbacks=validated_callbacks)
```

### TypeScript

```typescript
const engine = await elevenlabs.speechEngine.get(process.env.ELEVENLABS_SPEECH_ENGINE_ID!);
engine.attach(httpServer, "/ws", { debug: true, ...validatedCallbacks });
```

In TypeScript, pass interruption signals to downstream async work when it supports cancellation so interrupted responses stop quickly. In Python, the SDK cancels the previous turn handler when a newer turn arrives.

Server callbacks can distinguish clean closes from dropped connections: use `onClose` / `on_close` for clean disconnects and `onDisconnect` / `on_disconnect` for unexpected WebSocket drops.

Security note: speech-recognition text can contain prompt-injection attempts from user speech or played audio. Treat it as untrusted input. Convert it into trusted application state before invoking response generation, tools, or privileged workflows.

### Disabling authentication (advanced, dangerous)

Both `engine.attach()` (TypeScript) and `engine.serve()` / `SpeechEngineServer` (Python) verify a JWT on every incoming WebSocket by default. This is what proves the connection is really coming from ElevenLabs and not from an attacker who guessed the URL. **Do not turn this off.**

An escape hatch exists — `disableAuth: true` in the callback options (TypeScript) or `disable_auth=True` on `serve()` / `SpeechEngineServer(...)` (Python) — for the narrow case where a compensating network-level control is already in place. Without such a control, disabling auth means **any client on the internet that finds your URL can open sessions**. Concretely, an attacker can:

- open unlimited conversations to drain your ElevenLabs quota and downstream LLM budget
- feed crafted transcripts to your response pipeline, effectively impersonating a user
- use your server as an oracle to probe backend state, tools, or prompts

Only recommend `disableAuth` / `disable_auth` when the user has already implemented **at least one** of:

- **IP allowlist** — the server (or an upstream firewall / load balancer / API gateway) only accepts inbound traffic from [ElevenLabs' documented egress ranges](https://elevenlabs.io/docs/overview/capabilities/speech-engine#ip-allowlisting).
- **Custom shared-secret header** — a secret header configured on the Speech Engine resource via `speech_engine.request_headers` / `speechEngine.requestHeaders` at create time, validated by an upstream proxy (or by the developer's own middleware in front of `attach()` / `serve()`) before requests reach the SDK.

If the user cannot confirm one of the above is in place, leave the default authentication on. Skipping JWT verification without a mitigation is not an optimization or a convenience — it is unauthenticated public compute.

## Browser Client

Create a server-side token endpoint and have the browser request a token before starting the microphone session. Keep the Speech Engine ID and API key on the server. If the client passes `overrides.agent.firstMessage`, the Speech Engine resource must have the first-message override enabled.

```typescript
import express from "express";
import { ElevenLabsClient } from "@elevenlabs/elevenlabs-js";
import "dotenv/config";

const app = express();
const elevenlabs = new ElevenLabsClient();

app.get("/api/token", async (_req, res) => {
  const response = await elevenlabs.conversationalAi.conversations.getWebrtcToken({
    agentId: process.env.ELEVENLABS_SPEECH_ENGINE_ID!,
  });
  res.json({ token: response.token });
});
```

React clients can use `@elevenlabs/react`:

```tsx
import { useConversation } from "@elevenlabs/react";

export function VoiceControls() {
  const conversation = useConversation({
    onConnect: () => console.log("connected"),
    onDisconnect: () => console.log("disconnected"),
    onError: (error) => console.error(error),
  });

  async function startConversation() {
    await navigator.mediaDevices.getUserMedia({ audio: true });
    const { token } = await fetch("/api/token").then((res) => res.json());

    await conversation.startSession({
      conversationToken: token,
      overrides: {
        agent: { firstMessage: "Hello! How can I help you today?" },
      },
    });
  }

  return <button onClick={startConversation}>Start conversation</button>;
}
```

## References

- [Installation Guide](references/installation.md)
- [JavaScript SDK Reference](references/javascript-sdk-reference.md)
- [Python SDK Reference](references/python-sdk-reference.md)

© elevenlabs · MIT · elevenlabs/skills

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