Collected AI Attributes

Creation Source

How the record was created. For automation-discovered records, the value is Automation.

All supported agent automations

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

Description

Description of the agent or model and its purpose.

AWS Bedrock, Amazon Bedrock AgentCore

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

Full Resource Name

Fully qualified platform resource identifier. For AgentCore agents, populated from Full Source Name.

All supported agent automations

AWS Bedrock, Azure Foundry

Scope

Platform scope or path for the discovered asset. The exact path structure varies by platform.

All supported agent automations

AWS Bedrock, Azure Foundry

Stage

Lifecycle stage of the agent or model. Uses the platform-supported lifecycle value where available.

All supported agent automations

AWS SageMaker, Databricks

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.

Shown in AgentCore as AgentId.

Agent Name

All supported agent automations

Display name of the agent.

Shown in AgentCore as Name.

Agent Source

All supported agent automations

Source platform from which the agent was discovered.

AgentCore is reported as a Bedrock source value.

Agent Version

All supported agent automations

Version of the agent.

Shown in AgentCore as AI Agent Version.

Agent Type

AWS Bedrock

Classification of the agent.

Agentic Compound System

All supported agent automations

Indicates whether the discovered record is an agentic compound system.

Always Yes for discovered agents.

Autonomy Level

AWS Bedrock

Degree of agent autonomy.

Created By

Amazon Bedrock

User or principal that created the agent.

Default Model

Azure Foundry

Default model associated with the agent.

Hosting Environment

All supported agent automations

Platform hosting the agent.

Example: Amazon Web Services (AWS) Bedrock.

Instructions

AWS Bedrock

Instructions that define how the agent behaves.

Is Deployed

All supported agent automations

Indicates whether the agent is deployed.

Based on the platform’s deployment or publish state.

Last Updated By

Amazon Bedrock

User or principal that last updated the agent.

Linked Identity

Amazon Bedrock AgentCore

Identity linked to the agent. Includes the credential type, linked identity name, workload linked identity, linked identity created date, and linked identity last updated date.

Operational Status

All supported agent automations

Current operational state of the agent.

AgentCore Operational Status values are normalized to this attribute.

Organization

Amazon Bedrock AgentCore

Organization or policy domain associated with the agent.

Region

All supported agent automations

Cloud region where the agent runs.

Shown in AgentCore as Agent Region.

Underlying Model

All supported agent automations

Foundation or backing model used by the agent.

Version Aliases

AWS Bedrock

Version-to-alias mapping for the agent.

Populated only when aliases exist.

Created Date

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

Date the model record was created.

Deployment ID

Azure Foundry

Deployment identifier for the model.

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.

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.

Type of Learning

AWS Bedrock, Databricks

Learning method used to train the model.

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

Catalog Metadata

Databricks

Structured catalog metadata for the dataset.

Dataset Version

Databricks

Dataset version value.

Full Name

Databricks

Full dataset name.

Unique Identifier

Databricks

Platform-specific unique identifier for the dataset.