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Model connections

A model connection is a connection to a generative AI platform that uses a large language model (LLM). The model powers your AI agent’s reasoning and capabilities.
Note: Be aware that any model you configure has the potential to hallucinate, which can impact your AI agent's results.
Create a model connection for each LLM that your AI agents will use. The type of connection you configure is based on the model provider. For example, to create a connection to Amazon Nova Premier, configure an Amazon Bedrock connection.
The following table lists the supported LLMs and model providers:
Model
Model provider
Amazon Nova Premier
Amazon Bedrock
Amazon Nova Pro
Amazon Bedrock
Anthropic Claude 3.5 Haiku
Amazon Bedrock
Anthropic Claude 3.7 Sonnet
Amazon Bedrock
Anthropic Claude 4.5 Haiku
Amazon Bedrock
Anthropic Claude 4.5 Sonnet
Amazon Bedrock
Anthropic Claude Opus 4.1
Amazon Bedrock
Azure Open AI 4o
Azure Open AI
Azure Open AI 4.1
Azure Open AI
Azure Open AI 4.1 Nano
Azure Open AI
Azure Open AI 4.1 Mini
Azure Open AI
Azure Open AI gpt5-mini
Azure Open AI
Cohere Command R
Amazon Bedrock
Google Gemini 20. Flash
Google Gemini
Google Gemini 2.5 Flash
Google Gemini
Google Gemini 2.5 Pro
Google Gemini

Azure OpenAI connection details

You need to configure an Azure OpenAI connection before you can use it in an AI agent.
The following table describes the properties of an Azure OpenAI connection. These properties apply to every version of Azure OpenAI:
Property
Description
Name
Name of the Azure OpenAI connection.
Location
Project or folder to save your assets. By default, assets are saved to the Default project.
Model Provider
Provider of the LLM model being configured.
Description
Optional. Description of the model connection.
Deployment Name
Name of the LLM deployment you've configured within Azure OpenAI.
Azure Endpoint
Specific Azure OpenAI service endpoint URL for your deployed model.
OpenAI API Version
Version of the Azure OpenAI API you intend to use.
API Key
Authentication key or token provided by Azure to authorize your access.

Amazon Bedrock connection details

You need to configure an Amazon Bedrock connection before you can use one of its foundation models in an AI agent.
The following table describes the properties of an Amazon Bedrock connection. These properties apply to every type of Bedrock foundation model:
Property
Description
Name
Name of the Amazon Bedrock connection.
Location
Project or folder to save your assets. By default, assets are saved to the Default project.
Model Provider
Provider of the model being configured.
Description
Optional. Description of the model connection.
Model
ID string of the Bedrock foundation model you want your AI agents to use for language processing tasks.
If you use a cross-region inference type model, add the region prefix at the beginning of the model ID string. For example, to connect to Anthropic Claude Opus 4.1 in the United States, enter the following model ID:
us.anthropic.claude-opus-4-1-20250805-v1:0
Region
AWS region where your Amazon Bedrock service is deployed, for example: us-east-1
Access Key
Access key ID for the IAM user that has permissions to access Bedrock.
Secret Key
Secret access key for the IAM user that has permissions to access Bedrock.

Google Gemini connection details

You need to configure a Google Gemini connection before you can use it in an AI agent.
The following table describes the properties of a Google Gemini connection. These properties apply to every version of Google Gemini:
Property
Description
Name
Name of the Google Gemini connection.
Location
Project or folder to save your assets. By default, assets are saved to the Default project.
Model Provider
Provider of the LLM model being configured.
Description
Optional. Description of the model connection.
Model
Specific Gemini LLM variant or deployment that you want to use.
API Key
Authentication credentials required to access the Google Cloud API securely.

Creating a model connection

Create at least one model connection before you configure an AI agent.
    1From the navigation menu, click New.
    2In the New Asset dialog box, select Model from the New Asset list.
    3Select a model provider and then click Create.
    4Enter the connection details.
    5Click Test to verify that your connection is successful.
    6Click Save.