Integrations

Supercharge Terraform with Relevance AI

Terraform is a powerful tool for automating infrastructure provisioning and management. By integrating with Relevance AI, you can leverage AI Agents to enhance your infrastructure workflows, making them more efficient and responsive.

Give your AI Agents Terraform Superpowers

Terraform automates infrastructure provisioning and management, while Relevance AI enhances this process with intelligent AI Agents that can adapt and optimize deployments dynamically.

Infrastructure Orchestration Mastery

The agent seamlessly coordinates complex multi-cloud deployments and resource dependencies with precision and efficiency

Intelligent Compliance Guardian

Continuously monitors and enforces security policies while automatically remedying compliance violations across infrastructure

Dynamic State Reconciliation

Automatically detects and resolves infrastructure drift while maintaining desired state across environments

Tools

Equip AI Agents with the Terraform Tools they need

Relevance AI enables you to integrate Terraform's infrastructure management capabilities into your automated workflows seamlessly.

Terraform - Create Run
Creates and configures a new Terraform run to manage infrastructure changes, supporting options for plan execution, state management, and version control
Terraform - List Runs
Retrieves a list of Terraform runs from a specified workspace, allowing users to monitor and track infrastructure deployment history
Name
Terraform API Call
Description
Make an authorized request to a Terraform API
Parameters
["oauth_account_id", "method", "path", "body", "headers"]
Use Case
A DevOps team uses this integration to automate infrastructure provisioning by making authenticated API calls to Terraform Cloud, allowing them to programmatically manage workspace configurations and trigger runs across multiple environments without manual intervention.

Security & Reliability

The integration leverages secure OAuth authentication to ensure only authorized workflows can access and manage your Terraform Cloud infrastructure through Relevance AI. The integration handles complex Terraform operations like workspace management, run creation, and state management in the background—eliminating concerns about API formatting, rate limits, and error handling.

Built-in configuration validation and response parsing ensure your infrastructure deployments execute reliably, with automatic retry logic and detailed logging for troubleshooting.

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 Terraform + Relevance AI integration without writing code:
  • Start with a clear Terraform workspace: Organize your infrastructure code with meaningful names and consistent structure.
  • Use version control: Leverage Terraform's versioning capabilities to track changes and roll back if necessary.
  • Connect securely: Ensure your OAuth credentials are correctly configured and have the necessary permissions for your Terraform Cloud account.
  • Test configurations before deployment: Validate your Terraform configurations in a staging environment to catch errors early.
  • Monitor run statuses: Regularly check the status of your Terraform runs to ensure successful deployments and troubleshoot any issues promptly.