GitLab Duo Self-Hosted

Use GitLab Duo Self-Hosted to integrate your own large language models (LLMs) with GitLab Duo features and control your data privacy and security.

With GitLab Duo Self-Hosted, you can:

• Choose any GitLab-supported LLM or your own compatible model.
• Choose specific GitLab Duo features for your users.
• Keep all request/response logs in your domain with no external API calls.
• Isolate the GitLab instance, AI gateway, and models in your own environment.
• Eliminate reliance on the shared GitLab AI gateway.
• Manage the lifecycle of requests to LLM backends for GitLab Duo features, and avoid external dependencies so that requests stay in your enterprise network.

For a click-through demo, see GitLab Duo Self-Hosted product tour.

For an overview, see GitLab Duo Self-Hosted: AI in your private environment.

Prerequisites

To use GitLab Duo Self-Hosted you must have:

• A cloud-based or on-premise supported model
• A cloud-based or on-premise supported serving platform
• A locally hosted AI gateway

Supported GitLab Duo features

The following tables state:

• The GitLab Duo features and whether those features are available on GitLab Duo Self-Hosted.
• Which version of GitLab is needed to use those features on GitLab Duo Self-Hosted.
• The status of those features. A feature’s status on GitLab Duo Self-Hosted can be different to that same feature’s status when it is hosted on GitLab.

Code Suggestions

Chat

For more examples of a question you can ask, see Ask about GitLab.

GitLab Duo in merge requests

GitLab Duo in issues

Other features

Configuration types

Use one of the following options to implement AI-native features:

• Self-hosted AI gateway and LLMs: Use your own AI gateway and models for full control over your AI infrastructure.
• Hybrid AI gateway and model configuration: For each feature, use either your self-hosted AI gateway with self-hosted models, or the GitLab.com AI gateway with GitLab AI vendor models.
• GitLab.com AI gateway with default GitLab external vendor LLMs: Use GitLab managed AI infrastructure.

Self-hosted AI gateway and LLMs

In a fully self-hosted configuration, you deploy your own AI gateway and use only supported LLMs in your infrastructure, without using GitLab infrastructure or AI vendor models. This gives you full control over your data and security.

While you deploy your own AI gateway, you can still use cloud-based LLM services like AWS Bedrock or Azure OpenAI as your model backend and they will continue to connect through your self-hosted AI gateway.

If you have an offline environment with physical barriers or security policies that prevent or limit internet access, and comprehensive LLM controls, you should use this fully self-hosted configuration.

For licensing, you must have a GitLab Premium or Ultimate subscription, and GitLab Duo Enterprise. Offline Enterprise licenses are available for those customers with fully isolated offline environments. To get access to your purchased subscription, request a license through the Customers Portal.

For more information, see:

• Set up a GitLab Duo Self-Hosted infrastructure
• The self-hosted AI gateway configuration diagram.

Hybrid AI gateway and model configuration

In this hybrid configuration, you deploy your own AI gateway and self-hosted models for most features, but configure specific features to use GitLab AI vendor models. When a feature is configured to use a GitLab AI vendor model, requests for that feature are sent to the GitLab-hosted AI gateway instead of your self-hosted AI gateway.

This option provides flexibility by allowing you to:

• Use your own self-hosted models for features where you want full control.
• Use GitLab-managed vendor models for specific features where you prefer the models GitLab has curated.

For licensing, you must have a GitLab Premium or Ultimate subscription, and GitLab Duo Enterprise. Offline licenses are not supported to use this configuration. To get access to your purchased subscription, request a license through the Customers Portal.

For more information, see:

• Configure GitLab AI vendor models

GitLab managed models

Use GitLab managed models to connect to AI models without the need to self-host infrastructure. These models are managed entirely by GitLab.

You can select the default GitLab model to use with an AI-native feature. For the default model, GitLab uses the best model based on availability, quality, and reliability. The model used for a feature can change without notice.

When you select a specific GitLab managed model, all requests for that feature use that model exclusively. If the model becomes unavailable, requests to the AI gateway fail and users cannot use that feature until another model is selected.

For more information, see Model selection.

GitLab.com AI gateway with default GitLab external vendor LLMs

If you do not meet the use case criteria for GitLab Duo Self-Hosted, you can use the GitLab.com AI gateway with default GitLab external vendor LLMs.

The GitLab.com AI gateway is the default Enterprise offering and is not self-hosted. In this configuration, you connect your instance to the GitLab-hosted AI gateway, which integrates with external vendor LLM providers, including:

• Anthropic
• Fireworks AI
• Google Vertex

These LLMs communicate through the GitLab Cloud Connector, offering a ready-to-use AI solution without the need for on-premise infrastructure.

For licensing, you must have a GitLab Premium or Ultimate subscription, and GitLab Duo Enterprise. To get access to your purchased subscription, request a license through the Customers Portal

For more information, see the GitLab.com AI gateway configuration diagram.

To set up this infrastructure, see how to configure GitLab Duo on a GitLab Self-Managed instance.

Set up a GitLab Duo Self-Hosted infrastructure

To set up a fully isolated GitLab Duo Self-Hosted infrastructure:

1. Install a Large Language Model (LLM) serving infrastructure.

   • GitLab supports various platforms for serving and hosting your LLMs, such as vLLM, AWS Bedrock, and Azure OpenAI. For more information about each platform, see supported LLM platforms documentation.

   • GitLab provides a matrix of supported models with their specific features and hardware requirements. For more information, see the supported models and hardware requirements documentation.

2. Install the AI gateway to access AI-native GitLab Duo features.

3. Configure your GitLab instance for features to access self-hosted models.

4. Enable logging to track and manage your system’s performance.

Related topics

• Troubleshooting
• Install the GitLab AI gateway
• Supported models
• GitLab Duo Self-Hosted supported platforms