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To build a Node.js voice assistant with ElevenLabs, first choose who runs the assistant’s conversation logic: use ElevenAgents for an agent hosted by ElevenLabs, or Speech Engine when your application supplies its own LLM. For a typical browser app connected to an ElevenAgents agent, the official JavaScript SDK is the simplest route; keep your API key on the server and return only the short-lived connection credential the client needs.
Choose the architecture before writing code
ElevenAgents and Speech Engine solve different problems. With ElevenAgents, you configure a hosted agent and connect your application to it. With Speech Engine, ElevenLabs handles speech conversion while your Node.js application receives transcripts, calls its own LLM, and returns generated text.
| Decision | ElevenAgents | Speech Engine |
|---|---|---|
| Who supplies the LLM and conversation logic? | ElevenLabs hosts the agent platform and associated capabilities. | Your application supplies the LLM and conversation logic. |
| What does your server do? | Typically authenticates your application user and obtains private-agent connection credentials. | Receives transcript history, calls the LLM, and streams the response. |
| Best fit | You want to connect to a hosted conversational agent. | You want ElevenLabs speech capabilities around a custom or existing chat agent. |
For an ordinary browser integration with an existing ElevenAgents agent, start with the SDK rather than a hand-built WebSocket client. The SDK handles more of the connection work; a direct WebSocket gives lower-level control but makes your application responsible for protocol and audio details.
Build a browser client for an ElevenAgents agent
1. Create and configure the agent
Create the agent in ElevenLabs first. The official quickstarts assume an agent already exists; they do not replace agent setup. Then choose the framework-specific client approach. The Vite quickstart installs @elevenlabs/client, while the Next.js quickstart uses @elevenlabs/react. Follow the matching guide rather than mixing their examples or package APIs.
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2. Choose the connection mode
The current JavaScript SDK documentation says voice conversations use WebRTC by default, while text-only conversations use WebSocket by default. You can explicitly select a connection type when the application needs to override that default. See the JavaScript SDK documentation for the current options and method signatures.
3. Connect and surface lifecycle events
Use the SDK’s connection lifecycle callbacks to keep the interface in sync: indicate when a session connects or disconnects, render user and agent messages, and surface errors to the user or application logs. The Next.js quickstart demonstrates callbacks for connection, disconnection, incoming messages, and errors. Treat them as distinct states rather than showing a single generic “working” indicator throughout the session.
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Keep private-agent credentials on the Node.js server
Never place an ElevenLabs API key in browser JavaScript. For a private agent, your server should authenticate the application user, call ElevenLabs with the server-side key, and return only the connection material needed by that authorized client. Depending on the connection method, the client receives a signed URL or conversation token. The SDK guide covers the client connection flow, and the signed URL endpoint reference documents the server-side credential route.
- Store
ELEVENLABS_API_KEYin server configuration, not in a client bundle or public environment variable. - Expose an application route that first verifies the logged-in user is allowed to start the conversation.
- From that route, request the appropriate signed URL or conversation token from ElevenLabs using the server-side key.
- Return only that connection credential to the authorized client and use it to start the session.
As general security practice, restrict access to credentials and transcripts in logs, and set retention rules appropriate to your application. A short-lived connection credential is not a reason to expose the API key itself.
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Connect directly with the Agents WebSocket when you need lower-level control
The documented endpoint is wss://api.elevenlabs.io/v1/convai/conversation?agent_id={agent_id}. A public agent can be connected to with its agent ID; for a private agent, use a server-issued signed URL instead. The endpoint and private-agent pattern are documented in the WebSocket API reference.
A direct client must implement the conversation protocol, not just open a socket. The WebSocket guide covers starting a conversation, sending user audio, processing returned events, and replying to ping messages with pong after the indicated delay. Your application also has to provide its own audio capture and handle connection and conversation lifecycle events. The guide’s sample audio package is an example, not a required microphone or hardware choice.
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- Use the SDK unless you have a concrete need to own transport or event handling.
- If implementing the socket yourself, follow the documented event format and server timing for ping/pong rather than assuming an idle connection remains healthy.
- Keep audio capture, message processing, and reconnection behavior explicit in your client design.
Use Speech Engine when your Node.js app owns the LLM
Speech Engine handles speech-to-text and text-to-speech around your own conversation logic. Your server receives transcript history, sends it to the LLM you choose, and streams response text back. Its SDK manages turn-taking and interruption handling. The Speech Engine overview describes this architecture and the available Node.js integration patterns.
The TypeScript SDK can attach to an existing Node.js HTTP server or run as a standalone WebSocket server. In either setup, the key application work is the transcript handler: read messages with user and agent roles, invoke your LLM, then pass generated text to session.sendResponse(...). The SDK reference documents the onTranscript handler, response flow, lifecycle events, and cancellation signal. Use that signal to stop an interrupted generation where supported, instead of allowing an obsolete response to continue.
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Conversation handling and reliability checks
- Represent connection state: distinguish connecting, connected, disconnected, and error states using the SDK or server lifecycle callbacks.
- Render messages from events: keep the user’s transcript and the agent’s response distinguishable in the interface.
- Respect interruptions: when using Speech Engine, propagate its cancellation signal to supported LLM generation so interrupted turns do not continue unnecessarily.
- Maintain WebSocket keep-alives: direct WebSocket clients should answer ping events with pong according to the documented timing.
- Protect sensitive data: avoid indiscriminately logging signed URLs, tokens, or transcripts; define access and retention rules for them.
Do not treat advanced examples as production-ready
ElevenLabs explicitly labels the advanced multi-context WebSocket example as not intended for production usage. Use it to understand the demonstrated concept, not as a production deployment template.
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