Elevenlabs Agents

A Claude Code skill for elevenlabs agents workflows and automation

What Is Elevenlabs Agents?

Elevenlabs Agents is a Claude Code skill designed to streamline the development and deployment of conversational AI voice agents on the ElevenLabs Platform. It provides a set of tools, SDK integrations, and workflow automations to help developers build production-ready voice agents for diverse applications, such as AI-powered phone systems, customer support bots, and more. The skill encapsulates the best practices and latest methodologies for leveraging ElevenLabs’ voice AI infrastructure, with full support for popular frameworks like React, React Native, and Swift. Additionally, it addresses common pain points such as migration from deprecated packages, handling webhook errors, and resolving content security policy (CSP) or localhost allowlist issues.

Why Use Elevenlabs Agents?

Voice-driven AI solutions are rapidly becoming essential for businesses seeking to enhance customer engagement and automate communication channels. Elevenlabs Agents provides a robust foundation for building these solutions efficiently, offering a workflow that reduces setup time, encourages reliable integration, and ensures consistency across projects. By using this skill, developers can:

  • Rapidly prototype and deploy voice agents with minimal friction.
  • Integrate advanced text-to-speech and conversational capabilities through ElevenLabs’ proven APIs.
  • Leverage modern SDKs for web, mobile, and server environments.
  • Avoid common pitfalls associated with deprecated libraries or misconfigurations.
  • Automate workflows using CLI tools, enabling Infrastructure as Code (IaC) practices for conversational agents.
  • Access comprehensive troubleshooting for webhook, CSP, and tool parsing errors.

How to Get Started

To begin using Elevenlabs Agents, follow these steps:

1. Install the Required Packages

Depending on your target environment, install the appropriate SDKs:

## For React applications
npm install @elevenlabs/react

## For browser or server-side JavaScript
npm install @elevenlabs/client

## For React Native mobile apps
npm install @elevenlabs/react-native

## For server-only environments (Node.js)
npm install @elevenlabs/elevenlabs-js

## For CLI-based workflows ("Agents as Code")
npm install -g @elevenlabs/agents-cli

Note: Uninstall any deprecated @11labs/react or @11labs/client packages to avoid conflicts.

2. Create an Agent

Agents can be created via the ElevenLabs dashboard or using the CLI for greater automation:

  • Dashboard:
    Navigate to https://elevenlabs.io/app/conversational-ai and use the "Create Agent" workflow.

  • CLI Example:

    elevenlabs agents init
    elevenlabs agents add "Support Bot" --template customer-service
    # Edit the generated agent configuration as needed

3. Configure Tools and Knowledge Base

After creating an agent, extend its capabilities by integrating tools (e.g., database access, scheduling) and uploading knowledge base documents to provide robust responses.

4. Integrate the SDK

In your application code, initialize and connect to the agent. For example, in a React app:

import { ElevenLabsProvider } from '@elevenlabs/react';

function App() {
  return (
    <ElevenLabsProvider agentId="your-agent-id">
      {/* Your conversational UI components */}
    </ElevenLabsProvider>
  );
}

5. Test and Deploy

Use the ElevenLabs dashboard or CLI to test your agent’s behavior. Deploy the application to your production environment, ensuring all webhooks and endpoints are correctly configured.

Key Features

  • Multi-Platform SDKs: Native support for React, React Native, Swift, and server-side environments.
  • Workflow Automation: CLI tools to manage agent lifecycles, configurations, and deployments as code.
  • Customizable Agents: Configure tools, knowledge bases, and behaviors for tailored conversational experiences.
  • Robust Error Handling: Built-in guidance for resolving webhook, CSP, and tool parsing errors.
  • Modern Integration Patterns: Encourages best practices for development, testing, and deployment.

Best Practices

  • Use Supported Packages: Always prefer the latest @elevenlabs SDKs (@elevenlabs/react, @elevenlabs/client, etc.) and avoid deprecated packages.
  • Separate Server and Browser Logic: If using @elevenlabs/elevenlabs-js, limit usage to server-side Node.js code, as it depends on child_process.
  • Automate with CLI: Use the @elevenlabs/agents-cli for repeatable, version-controlled agent configuration and deployment.
  • Secure Your Endpoints: When deploying, ensure webhook and API endpoints are secured and whitelisted in the ElevenLabs dashboard.
  • Monitor and Test: Regularly test your conversational agents in both staging and production to catch integration issues early.

Important Notes

  • Deprecated Packages: @11labs/react and @11labs/client are no longer supported. Remove them to prevent conflicts.
  • Server-Only SDK Caution: The @elevenlabs/elevenlabs-js package requires Node.js and will not function in browser environments. For browser-side integration, use @elevenlabs/client or set up a proxy server.
  • CSP and Localhost Issues: If you encounter content security policy violations or localhost allowlist problems during development, consult the ElevenLabs documentation and update your CSP rules or allowlist as required.
  • Tool Parsing Errors: Follow the agent configuration guidelines closely to prevent tool or knowledge base parsing errors during deployment.
  • Documentation and Support: Refer to the official ElevenLabs documentation and the skill’s GitHub repository for updates, troubleshooting tips, and community support.