Integrations

Supercharge GitLab with Relevance AI

GitLab is a comprehensive DevSecOps platform that facilitates repository management, issue tracking, and CI/CD workflows. With Relevance AI, you can leverage AI Agents to transform your development processes, making them more efficient and insightful.

Give your AI Agents GitLab Superpowers

GitLab provides robust tools for repository management and CI/CD processes. Relevance AI amplifies these capabilities by enabling AI Agents to automate tasks, analyze data, and drive insights across your development lifecycle.

Continuous Code Intelligence

The AI agent analyzes code patterns and repository activity to provide real-time insights and quality recommendations.

Predictive Issue Resolution

Leverages historical data to forecast potential issues and automatically suggest optimal solutions before problems escalate.

Security Enhancement

Proactively identifies vulnerabilities and compliance issues through continuous repository scanning and analysis.

Tools

Equip AI Agents with the GitLab Tools they need

Relevance AI seamlessly integrates with GitLab to enhance your DevSecOps workflows through intelligent automation.

GitLab - Create Epic
Creates a new epic within a GitLab group with customizable properties like title, description, labels and confidentiality settings
GitLab - List Commits
Retrieves a list of commits from a specified GitLab project branch with optional result limiting
GitLab - List Commits
Retrieves a list of commits from a specified GitLab project branch with optional result limiting
GitLab - List Repo Branches
Fetches all branches from a GitLab repository with optional search filtering capabilities
GitLab - Get Repo Branch
Retrieves detailed information about a specific branch within a GitLab repository
GitLab - Search Issues
Searches for issues within a GitLab project using various filters including labels, state, and assignee
GitLab - Update Epic
Modifies an existing epic's properties including labels, state, title, and other attributes
Name
GitLab API Call
Description
Make an authorized request to a GitLab API
Parameters
["OAuth authentication", "HTTP methods (GET, POST, PUT, DELETE, PATCH)", "Custom headers", "Request body support", "Response handling"]
Use Case
A DevOps team automates their CI/CD pipeline by using GitLab API calls to trigger builds and deployments based on specific repository events, while maintaining secure authentication through OAuth and receiving detailed response data for monitoring.

Security & Reliability

The GitLab integration in Relevance AI utilizes secure OAuth authentication, ensuring that only authorized workflows can access your GitLab repositories and data. Relevance AI manages API operations (such as creating issues, managing branches, and tracking CI/CD pipelines) in the background—so you don’t have to worry about errors, formatting, or limits.

With built-in validation and type conversion, your workflows run smoothly, even when data formats vary. This integration allows for automated repository management, streamlined issue tracking, and seamless CI/CD pipeline integration, enhancing your development workflow.

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 GitLab + Relevance AI integration without writing code:
  • Start with a well-structured GitLab project: Use clear naming conventions for issues, branches, and labels to maintain organization.
  • Utilize predefined workflows: Relevance AI provides templates for creating issues, managing branches, and tracking epics—perfect for quick setup.
  • Connect securely: Ensure you configure OAuth credentials correctly and grant the necessary permissions during setup.
  • Test API calls with sample data: Validate your integration with test issues and branches to prevent errors in production.
  • Monitor API usage: Be mindful of rate limits and implement throttling to avoid hitting usage caps.