Collected AI Attributes

This article details what metadata information is discovered through AI Automations and classified as via our system attributes. Mapped values will be listed in the respective inventory record's details screen.

Note:

For more information about AI Automations, see the following:

Shared Agent Attributes

These shared agent attributes are available across supported agent automations.

Attribute

Supported systems

Description

Notes

Agent ARN / Resource ID

All supported agent automations

Platform resource identifier for the agent.

Bedrock uses an ARN. Azure Foundry uses the agent name.

Agent ID

All supported agent automations

Platform-specific unique identifier for the agent.

Includes normalized AgentCore AgentId values.

Agent Name

All supported agent automations

Display name of the agent.

Includes normalized AgentCore Name values.

Agent Source

All supported agent automations

Source platform from which the agent was discovered.

Includes AgentCore as a Bedrock source value.

Agent Version

All supported agent automations

Version of the agent.

Includes normalized AgentCore AI Agent Version values.

Agentic Compound System

All supported agent automations

Indicates whether the discovered record is an agentic compound system.

For discovered agents, this is Yes.

Creation Source

All supported agent automations

How the record was created.

For automation-discovered records, this is Automation.

Full Resource Name

All supported agent automations

Fully qualified platform resource identifier.

Includes normalized AgentCore Full Source Name values.

Hosting Environment

All supported agent automations

Platform hosting the agent.

Example: Amazon Web Services (AWS) Bedrock.

Is Deployed

All supported agent automations

Indicates whether the agent is deployed.

Based on platform deployment or publish state.

Operational Status

All supported agent automations

Current operational state of the agent.

Includes normalized AgentCore Operational Status values.

Region

All supported agent automations

Cloud region where the agent runs.

Includes normalized AgentCore Agent Region values.

Scope

All supported agent automations

Platform scope or path for the discovered asset.

The exact path structure varies by platform.

Stage

All supported agent automations

Lifecycle stage of the agent.

Use the platform-supported lifecycle value where available.

Underlying Model

All supported agent automations

Foundation or backing model used by the agent.

Keep as the shared model-binding field.

Version Aliases

All supported agent automations

Version-to-alias mapping for the agent.

Bedrock-only when populated.

AgentCore Attributes

For Amazon Bedrock AgentCore, fields that correspond to existing agent attributes use the same attribute names used elsewhere in AI Automations. AgentCore-only fields appear in the system-specific section.

AgentCore source label

Canonical label

Category

AI Agent Version

Agent Version

Shared Agent attributes

Agent Region

Region

Shared Agent attributes

Agent Source

Agent Source

Shared Agent attributes

AgentId

Agent ID

Shared Agent attributes

Creation Source

Creation Source

Shared Agent attributes

Description

Description

System-specific Agent attributes

Full Source Name

Full Resource Name

Shared Agent attributes

Hosting Environment

Hosting Environment

Shared Agent attributes

Name

Agent Name

Shared Agent attributes

Operational Status

Operational Status

Shared Agent attributes

Organization

Organization

System-specific Agent attributes

Shared Model Attributes

These model attributes are available across supported model automations. Use the Supported systems column to determine where each attribute applies.

Attribute

Supported systems

Description

Created Date

AWS Bedrock, AWS SageMaker, Azure Foundry, GCP Vertex, Databricks

Date the model record was created.

Creation Source

AWS Bedrock, AWS SageMaker, Azure Foundry, GCP Vertex, Databricks

How the record was created.

Deployment ID

Azure Foundry

Deployment identifier for the model.

Description

AWS Bedrock, AWS SageMaker, Azure Foundry, GCP Vertex, Databricks

Description of the model and its purpose.

Endpoint URL

Azure Foundry

Endpoint address for the model.

Framework

AWS Bedrock, AWS SageMaker, Azure Foundry, GCP Vertex, Databricks

Machine learning framework used by the model.

Full Resource Name

AWS Bedrock, Azure Foundry

Fully qualified platform resource identifier.

Generative AI

AWS Bedrock, Databricks

Indicates whether the model is generative AI.

Hosting Provider

AWS Bedrock, AWS SageMaker, Azure Foundry, GCP Vertex, Databricks

Provider hosting the model.

Mode

AWS Bedrock, Databricks

Operating mode for the model.

Model ID

AWS Bedrock, AWS SageMaker, Azure Foundry, GCP Vertex, Databricks

Platform-specific unique identifier for the model.

Model Name

AWS Bedrock, AWS SageMaker, Azure Foundry, GCP Vertex, Databricks

Display name of the model.

Model Source

AWS Bedrock, AWS SageMaker, Azure Foundry, GCP Vertex, Databricks

Source platform from which the model was discovered.

Model Version

AWS Bedrock, AWS SageMaker, Azure Foundry, GCP Vertex, Databricks

Version of the model.

Programming Language

AWS Bedrock, Databricks

Programming language used to implement the model.

Scope

AWS Bedrock, Azure Foundry

Platform scope or path for the discovered model.

Stage

AWS SageMaker, Databricks

Lifecycle stage of the model.

Type of Learning

AWS Bedrock, Databricks

Learning method used to train the model.

System-Specific Agent Attributes

These agent attributes are available for specific platforms.

System

Attribute

Description

AWS Bedrock

Agent Type

Classification of the agent.

Autonomy Level

Degree of agent autonomy.

Description

Description of the agent and its purpose.

Azure Foundry

Default Model

Default model associated with the agent.

Amazon Bedrock AgentCore

Organization

Organization or policy domain associated with the agent.

System-Specific Model Attributes

Use this section for platform-specific notes that affect how a shared model attribute is populated or interpreted.

System

Shared field

AWS SageMaker

Framework

Stage

Azure Foundry

Deployment ID

Endpoint URL

Scope

AWS Bedrock

Scope

Guardrail Attributes

This section lists the supported guardrail attributes for agents and models.

Azure Foundry models use the same guardrail attributes as Azure Foundry agents, but Azure Foundry and Amazon Bedrock do not support the exact same guardrail types.

Display label

System field label

Supported systems

Automated Reasoning

Has Automated Reasoning Guardrail

AWS Bedrock

Content Filtering — Input

Has Content Filtering Guardrail - Input

AWS Bedrock, Azure Foundry

Content Filtering — Output

Has Content Filtering Guardrail - Output

AWS Bedrock, Azure Foundry

Contextual Grounding

Has Contextual Grounding Guardrail

AWS Bedrock, Azure Foundry

Denied Topics — Input

Has Denied Topics Guardrail - Input

AWS Bedrock

Denied Topics — Output

Has Denied Topics Guardrail - Output

AWS Bedrock

Prompt Attack Protection

Has Prompt Attack Guardrail

AWS Bedrock, Azure Foundry

Protected Material — Code

Has Protected Material - Code Guardrail

Azure Foundry

Protected Material — Text

Has Protected Material - Text Guardrail

Azure Foundry

Sensitive Info Filters — Input

Has Sensitive Information Filters Guardrail - Input

AWS Bedrock, Azure Foundry

Sensitive Info Filters — Output

Has Sensitive Information Filters Guardrail - Output

AWS Bedrock, Azure Foundry

Word Filters — Input

Has Word Filters Guardrail - Input

AWS Bedrock, Azure Foundry

Word Filters — Output

Has Word Filters Guardrail - Output

AWS Bedrock, Azure Foundry

Dataset Attributes

Dataset attributes are currently supported for Databricks only.

Attribute

Supported system

Description

Notes

Catalog Metadata

Databricks

Structured catalog metadata for the dataset.

Keep as the canonical catalog metadata field.

Dataset Version

Databricks

Dataset version value.

Keep as the canonical version field.

Full Name

Databricks

Full dataset name.

Keep as the canonical dataset display name.

Unique Identifier

Databricks

Platform-specific unique identifier for the dataset.

Keep as the canonical identifier field.