Integrations

Supercharge Twilio with Relevance AI

Twilio is a communication platform that provides APIs for SMS, voice calls, and verification services. Relevance AI enhances Twilio's capabilities by enabling smart automation and orchestration of communication workflows.

Give your AI Agents Twilio Superpowers

Twilio empowers you to send SMS messages and make phone calls effortlessly. With Relevance AI, these communications are enhanced by intelligent AI Agents that can automate responses and manage interactions at scale.

Omnichannel Communication Mastery

Empowers AI agents to seamlessly orchestrate conversations across voice, SMS, and messaging platforms in real-time.

Intelligent Verification Authority

Enables secure user authentication and identity verification through automated phone and SMS verification processes.

Automated Response Scaling

Handles thousands of simultaneous conversations while maintaining personalized engagement across all channels.

Tools

Equip AI Agents with the Twilio Tools they need

Relevance AI seamlessly integrates Twilio's communication capabilities into your automated workflows.

List Transcripts
Retrieves a list of transcripts from Twilio calls and recordings, with optional inclusion of the full transcript text
Delete Message
Permanently removes a specific message from your Twilio account using the message's unique SID
List Message Media
Retrieves a list of media attachments associated with a specific Twilio message
Send Message
Sends an SMS or MMS message through Twilio with support for text content and multiple media attachments
Check Verification Token
Validates a verification code sent to a user's phone number through Twilio's verification service
Create Verification Service
Sets up a new verification service in Twilio for handling phone number verification workflows
Name
Twilio API Call
Description
Make an authorized request to a Twilio API
Parameters
["Twilio Account Authorization", "HTTP Method Selection", "Custom Request Path", "Request Body", "Custom Headers"]
Use Case
A customer service platform uses this integration to automatically send SMS notifications to users when their support tickets are updated, leveraging Twilio's messaging API to maintain real-time communication with customers while reducing manual notification overhead.

Security & Reliability

This integration enables seamless communication between Twilio's communication APIs and Relevance AI's workflow automation platform. It allows you to programmatically send SMS messages, make phone calls, manage verifications, and handle call recordings while leveraging Relevance AI's orchestration capabilities.

Key benefits include automated SMS and voice communications, secure OAuth-based authentication, streamlined verification workflows, media handling capabilities, and comprehensive call and message management.

To get started, ensure you have an active Twilio account with your Account SID, Auth Token, and at least one verified Twilio phone number, along with an active Relevance AI account with API access enabled. Your environment should support Node.js 12.x or higher, have HTTPS enabled, and provide sufficient storage for media handling.

Install the Relevance AI SDK using npm install @relevanceai/client and configure OAuth authentication with your Twilio account details. Initialize the integration with the TwilioIntegration class from the SDK.

For sending an SMS message, use the sendMessage method with the required parameters, including your Twilio number and the recipient's number. For making a phone call, utilize the makePhoneCall method with the necessary call parameters.

To implement verification, create a verification service and send a verification code using the respective methods provided by the Twilio integration.

Common issues may arise, such as authentication errors, phone number format issues, media handling problems, and rate limiting. Solutions include verifying OAuth configurations, using E.164 format for phone numbers, checking file sizes and formats for media uploads, and implementing exponential backoff for rate limits.

Best practices include validating phone numbers before sending, implementing error handling for API responses, securely storing sensitive credentials, monitoring API usage and costs, and caching frequently used resources.

For monitoring and logging, implement basic logging to track requests and responses to the Twilio API. For additional support, consult Twilio's documentation, check Relevance AI's status page, contact technical support with specific error codes, and review API logs for detailed error information.

This guide covers the basic implementation patterns. For advanced features and detailed API references, consult the full documentation as needed.

No training on your data

Your data remains private and is never utilized for model training purposes.

Security first

We never store anything we don’t need to. The inputs or outputs of your tools are never stored.

Get Started

Best Practices for Non-Technical Users

To get the most out of the Twilio + Relevance AI integration without writing code:
  • Start with a verified Twilio number: Ensure you have at least one verified phone number to send messages and make calls.
  • Use clear message templates: Create standardized message formats for SMS and voice calls to maintain consistency.
  • Validate phone numbers: Always check that phone numbers are in E.164 format before sending communications.
  • Test your workflows: Run tests with a small group of users to ensure everything works as expected before scaling.
  • Monitor API usage: Keep an eye on your Twilio usage to avoid unexpected costs and ensure you stay within rate limits.