Overview

Detailed configuration guides for each AI provider supported by Umbraco.AI.

Umbraco.AI supports multiple AI providers through installable NuGet packages. Each provider connects to a different AI service and may support different capabilities.

Available Providers

Provider	Package	Capabilities	Best For
OpenAI	Umbraco.AI.OpenAI	Chat, Embedding, Speech-to-Text	General purpose, most models
Anthropic	Umbraco.AI.Anthropic	Chat	Claude models, long context
Google Gemini	Umbraco.AI.Google	Chat	Gemini models, multimodal
Amazon Bedrock	Umbraco.AI.Amazon	Chat, Embedding	AWS integration, multiple models
Microsoft AI Foundry	Umbraco.AI.MicrosoftFoundry	Chat, Embedding	Azure, enterprise compliance

Choosing a Provider

Consider these factors when selecting a provider:

Capabilities Needed

Capability	OpenAI	Anthropic	Google	Amazon	MS Foundry
Chat	Yes	Yes	Yes	Yes	Yes
Embedding	Yes	No	No	Yes	Yes
Speech-to-Text	Yes	No	No	No	No

Use Case Fit

Use Case	Recommended Provider
General content generation	OpenAI, Anthropic
Code assistance	OpenAI, Anthropic
Long document processing	Anthropic (200K context)
Semantic search/RAG	OpenAI, Amazon Bedrock
AWS infrastructure	Amazon Bedrock
Azure/Microsoft stack	Microsoft AI Foundry
Cost optimization	Google (Gemini Flash)

Enterprise Considerations

Factor	OpenAI	Anthropic	Google	Amazon	MS Foundry
Data residency options	Limited	No	Yes	Yes	Yes
SOC 2 compliance	Yes	Yes	Yes	Yes	Yes
HIPAA eligible	Yes	Contact	Contact	Yes	Yes
Self-hosted option	No	No	No	No	No

Installing Multiple Providers

You can install multiple providers simultaneously. Each provider registers independently and becomes available in the Select AI Provider dialog.

Package Manager Console

Install-Package Umbraco.AI.OpenAI
Install-Package Umbraco.AI.Anthropic
Install-Package Umbraco.AI.Google

Or via .NET CLI:

Terminal

dotnet add package Umbraco.AI.OpenAI
dotnet add package Umbraco.AI.Anthropic
dotnet add package Umbraco.AI.Google

Provider Configuration Pattern

All providers follow the same pattern:

1. Install the package - NuGet package for the provider
2. Create a connection - Provide API credentials
3. Create a profile - Select model and configure settings
4. Use the profile - Reference in code or prompts

Custom Providers

If your AI service isn't supported, you can create a custom provider. See Creating Custom Providers.

Related

• Connections - Store provider credentials
• Profiles - Configure models for use
• Capabilities - What operations providers support