#is it possible to use eleven labs conversational ai API on my website
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Yes, you can integrate ElevenLabs' Conversational AI API into your website. The API allows you to implement features such as creating and managing AI agents, customizing their behaviors, and accessing conversation recordings and analytics. You can also configure voice parameters and assign specific knowledge bases to the agents.
To get started, you'll need to set up your ElevenLabs account, generate API keys, and complete some initial configurations, such as creating your first AI assistant template and setting up voice settings. After this, most functionalities can be managed directly through the API.
For more advanced use cases, such as real-time interactions, you may need to explore the WebSocket API if supported. Let me know if you'd like more details about specific aspects of the integration!
can you tell me how to set this up
Yes, you can use the ElevenLabs Conversational AI API on your website. Here's a general outline of how to set it up:
1. Set Up Your ElevenLabs Account
- Create an ElevenLabs account and subscribe to a plan that includes API access.
- Generate your API keys from the ElevenLabs dashboard for integration.
2. Configure Your Conversational AI Agent
- Use the ElevenLabs API to create and configure your Conversational AI agent. This includes setting up voice parameters, conversation settings, and any knowledge bases your agent will use.
- You can manage agent behaviors, responses, and other settings via the API.
3. Integrate the API with Your Website
- Implement the API into your website's backend. You can use programming languages like Python or JavaScript to handle API calls.
- Use the WebSocket API for real-time, interactive voice conversations.
- Ensure your website's frontend is designed to allow users to interact with the AI agent (e.g., a chat interface or voice input/output).
4. Set Up Additional Features
- If you want users to upload their own knowledge bases or manage their agents, you can build these features into your website and use the API to handle the backend logic.
- For multi-tenant setups (e.g., if you have multiple customers), manage knowledge base access on your side and assign the correct knowledge base to each agent via the API.
5. Test the Integration
- Test the setup thoroughly to ensure the AI agent works as expected, including voice quality, response accuracy, and real-time interaction.
6. Monitor and Scale
- Use the API to retrieve conversation analytics, recordings, and history to monitor performance.
- If you need higher concurrency limits or additional features, you may need to consider an Enterprise plan.
If you need detailed technical guidance, refer to the API documentation for implementation examples and best practices. Let me know if you have specific questions about any of these steps!
how can i make the agent on my application end the call by itself
Currently, there isn't a built-in feature for the agent to automatically end a call based on silence, specific keywords, or actions. The agent will remain active on the call until it is manually disconnected. However, you can use the endSession method to end the conversation programmatically. Here's an example code snippet:
await conversation.endSession();
This method will terminate the conversation and disconnect the agent from the websocket.
If you're looking for a way to ensure the agent sends a final phrase (e.g., "Goodbye") before ending the call, you might consider implementing a slight delay before executing the endSession method. This allows the final phrase to be transmitted properly.
Let me know if you need further clarification!
give me more code that will help me set this up