[System]
/no_think
You are Tech Advisor, an expert on AWS cloud services with deep knowledge of AWS DevOps Agent.

You have comprehensive knowledge of AWS DevOps Agent including:
- What it is and how it works (Agent Spaces, topology, dual-console architecture)
- Key features: autonomous incident response, proactive prevention, on-demand SRE tasks
- Integrations: CloudWatch, Datadog, Dynatrace, New Relic, Splunk, Grafana, PagerDuty, GitHub, GitLab, Azure DevOps, ServiceNow, Slack
- GA features: Azure/on-prem support, Triage Agent, Learned/Custom Skills, Code Indexing, Private Connections
- Pricing: $0.0083 per agent-second, free trial details, AWS Support credits
- Getting started: Agent Spaces, connecting tools, running investigations
- Security: encryption, customer managed keys, IdP integration, CloudTrail auditing
- Available regions: US East, US West, Frankfurt, Ireland, Sydney, Tokyo

Be concise and structured. Use bullet points where appropriate. Provide accurate, detailed answers.

[User] Give me a comprehensive overview of learned skills in AWS DevOps Agent.

[Assistant]
# Learned Skills

## What Are Learned Skills?

Learned skills are structured knowledge files that the DevOps Agent generates from your Agent Space data. Each learned skill encodes a specific type of knowledge that the AWS DevOps Agent uses as it performs tasks. At launch, two learned skills are available: Agent Space Understanding and Tool Use Best Practices.

### Agent Space Understanding

The Agent Space Understanding skill (`understanding-agent-space`) analyzes your connected cloud accounts, code repositories, and telemetry integrations to build a map of the resources and relationships in an Agent Space.

The skill produces a main `SKILL.md` file and a set of reference files. The main file contains a plain-language system overview with key domain concepts, the deployment environments (AWS account and region pairs, Azure subscriptions and regions, and so on), a container-level architecture diagram showing how logical services connect, the request paths that are central to your application with the components they traverse, and a mapping of code repositories to containers.

Each logical container receives a dedicated reference file describing its internal components (compute, data, messaging, network, and others) with resource types and physical identifiers such as ARNs, table names, and queue URLs. The reference file also captures observability coverage, including the alarms, dashboards, and monitors linked to each component. It also maps each component to its associated code repositories, packages, and infrastructure-as-code definitions, providing a complete traceability chain from source code to deployed resources.

Each critical request path receives a dedicated reference file describing the full end-to-end request flow at component granularity, from the entry point through each intermediate service, data store, and external dependency. The file includes a sequenced flow diagram showing the order of operations and interaction mechanisms between components, along with the responsibility of each participant. It also catalogs the observability signals relevant to the path: log group patterns for each hop, key metrics (latency, error rates, throttling, token quotas) with their alarm names and dimensions, and distributed trace spans that can be correlated across services and accounts.

### Tool Use Best Practices

The Tool Use Best Practices skill analyzes past investigation tool uses to extract effective usage patterns, common failure modes, and parameter guidance. This helps the DevOps Agent avoid known pitfalls and run investigations with fewer wasted steps. The skill produces a main file and a set of per-tool reference files. The main file serves as a routing index that lists each tool with the investigation scenarios it supports and links to the corresponding reference file.

Each per-tool reference file can include up to three sections:
+ **Best Practices** — Investigation-driven techniques extracted from successful tool usage, such as CloudWatch Logs Insights query templates, environment-specific metric namespaces and dimensions, and CloudTrail event source filters.
+ **Common Errors** — Recurring failure modes and their fixes. Each entry describes a specific error condition and provides a corrective action so the agent can avoid or recover from the error without wasting investigation steps.
+ **Output Management** — Guidance for tool calls that tend to return large responses. Each entry describes a parameter change or processing strategy that reduces output size while preserving diagnostic value.

When live infrastructure access is available, the skill validates patterns against your environment before including them. Confirmed patterns are stated with confidence, unconfirmed patterns use cautious language, and disproved patterns are excluded.

## Managing Learned Skills

**Updates** — The DevOps Agent automatically generates and updates learned skills based on activity in your Agent Space.

The DevOps Agent generates an updated **Tool Use Best Practices** skill every 30 investigations.

The **Agent Space Understanding** skill is generated by the learning agent, which runs whenever you add, update, or remove an Agent Space capability or integration. It is also periodically refreshed every 3 days for active Agent Spaces. An Agent Space is considered active if it has had at least one investigation in the last 30 days. If your Agent Space has no investigations for 30 days, skill refresh pauses automatically. It resumes when a new investigation starts.

To regenerate learned skills manually, choose the **Regenerate** button on the Topology page in the operator app, or chat with the agent and ask it to update the learned skills.

**Deactivation** — Learned skills are active by default. When active, the DevOps Agent loads them at the start of each DevOps Agent task. To stop a learned skill from being applied, deactivate it from the **Knowledge** page **Skills** tab in the operator app.

**Topology view** — The Topology page in your Agent Space's web app uses the Agent Space Understanding Skill to visually display your Agent Space environment as logical containers and components.

**Summary report** — The summary report is a versioned, read-only view of what the DevOps Agent knows about your environment, derived from the Agent Space Understanding skill. You can find it in two places: the **Summary report** tab on the Agent Space details page in the AWS DevOps Agent admin console, and the **Artifacts** section of the DevOps Agent web app.


[System]
/no_think
You are Tech Advisor, an expert on AWS cloud services with deep knowledge of AWS DevOps Agent.

You have comprehensive knowledge of AWS DevOps Agent including:
- What it is and how it works (Agent Spaces, topology, dual-console architecture)
- Key features: autonomous incident response, proactive prevention, on-demand SRE tasks
- Integrations: CloudWatch, Datadog, Dynatrace, New Relic, Splunk, Grafana, PagerDuty, GitHub, GitLab, Azure DevOps, ServiceNow, Slack
- GA features: Azure/on-prem support, Triage Agent, Learned/Custom Skills, Code Indexing, Private Connections
- Pricing: $0.0083 per agent-second, free trial details, AWS Support credits
- Getting started: Agent Spaces, connecting tools, running investigations
- Security: encryption, customer managed keys, IdP integration, CloudTrail auditing
- Available regions: US East, US West, Frankfurt, Ireland, Sydney, Tokyo

Be concise and structured. Use bullet points where appropriate. Provide accurate, detailed answers.

[User] What is learned skills?

[Assistant]
# Learned Skills

## What Are Learned Skills?

Learned skills are structured knowledge files that the DevOps Agent generates from your Agent Space data. Each learned skill encodes a specific type of knowledge that the AWS DevOps Agent uses as it performs tasks. At launch, two learned skills are available: Agent Space Understanding and Tool Use Best Practices.

### Agent Space Understanding

The Agent Space Understanding skill (`understanding-agent-space`) analyzes your connected cloud accounts, code repositories, and telemetry integrations to build a map of the resources and relationships in an Agent Space.

The skill produces a main `SKILL.md` file and a set of reference files. The main file contains a plain-language system overview with key domain concepts, the deployment environments (AWS account and region pairs, Azure subscriptions and regions, and so on), a container-level architecture diagram showing how logical services connect, the request paths that are central to your application with the components they traverse, and a mapping of code repositories to containers.

Each logical container receives a dedicated reference file describing its internal components (compute, data, messaging, network, and others) with resource types and physical identifiers such as ARNs, table names, and queue URLs. The reference file also captures observability coverage, including the alarms, dashboards, and monitors linked to each component. It also maps each component to its associated code repositories, packages, and infrastructure-as-code definitions, providing a complete traceability chain from source code to deployed resources.

Each critical request path receives a dedicated reference file describing the full end-to-end request flow at component granularity, from the entry point through each intermediate service, data store, and external dependency. The file includes a sequenced flow diagram showing the order of operations and interaction mechanisms between components, along with the responsibility of each participant. It also catalogs the observability signals relevant to the path: log group patterns for each hop, key metrics (latency, error rates, throttling, token quotas) with their alarm names and dimensions, and distributed trace spans that can be correlated across services and accounts.

### Tool Use Best Practices

The Tool Use Best Practices skill analyzes past investigation tool uses to extract effective usage patterns, common failure modes, and parameter guidance. This helps the DevOps Agent avoid known pitfalls and run investigations with fewer wasted steps. The skill produces a main file and a set of per-tool reference files. The main file serves as a routing index that lists each tool with the investigation scenarios it supports and links to the corresponding reference file.

Each per-tool reference file can include up to three sections:
+ **Best Practices** — Investigation-driven techniques extracted from successful tool usage, such as CloudWatch Logs Insights query templates, environment-specific metric namespaces and dimensions, and CloudTrail event source filters.
+ **Common Errors** — Recurring failure modes and their fixes. Each entry describes a specific error condition and provides a corrective action so the agent can avoid or recover from the error without wasting investigation steps.
+ **Output Management** — Guidance for tool calls that tend to return large responses. Each entry describes a parameter change or processing strategy that reduces output size while preserving diagnostic value.

When live infrastructure access is available, the skill validates patterns against your environment before including them. Confirmed patterns are stated with confidence, unconfirmed patterns use cautious language, and disproved patterns are excluded.

## Managing Learned Skills

**Updates** — The DevOps Agent automatically generates and updates learned skills based on activity in your Agent Space.

The DevOps Agent generates an updated **Tool Use Best Practices** skill every 30 investigations.

The **Agent Space Understanding** skill is generated by the learning agent, which runs whenever you add, update, or remove an Agent Space capability or integration. It is also periodically refreshed every 3 days for active Agent Spaces. An Agent Space is considered active if it has had at least one investigation in the last 30 days. If your Agent Space has no investigations for 30 days, skill refresh pauses automatically. It resumes when a new investigation starts.

To regenerate learned skills manually, choose the **Regenerate** button on the Topology page in the operator app, or chat with the agent and ask it to update the learned skills.

**Deactivation** — Learned skills are active by default. When active, the DevOps Agent loads them at the start of each DevOps Agent task. To stop a learned skill from being applied, deactivate it from the **Knowledge** page **Skills** tab in the operator app.

**Topology view** — The Topology page in your Agent Space's web app uses the Agent Space Understanding Skill to visually display your Agent Space environment as logical containers and components.

**Summary report** — The summary report is a versioned, read-only view of what the DevOps Agent knows about your environment, derived from the Agent Space Understanding skill. You can find it in two places: the **Summary report** tab on the Agent Space details page in the AWS DevOps Agent admin console, and the **Artifacts** section of the DevOps Agent web app.


[System]
/no_think
You are Tech Advisor, an expert on AWS cloud services with deep knowledge of AWS DevOps Agent.

You have comprehensive knowledge of AWS DevOps Agent including:
- What it is and how it works (Agent Spaces, topology, dual-console architecture)
- Key features: autonomous incident response, proactive prevention, on-demand SRE tasks
- Integrations: CloudWatch, Datadog, Dynatrace, New Relic, Splunk, Grafana, PagerDuty, GitHub, GitLab, Azure DevOps, ServiceNow, Slack
- GA features: Azure/on-prem support, Triage Agent, Learned/Custom Skills, Code Indexing, Private Connections
- Pricing: $0.0083 per agent-second, free trial details, AWS Support credits
- Getting started: Agent Spaces, connecting tools, running investigations
- Security: encryption, customer managed keys, IdP integration, CloudTrail auditing
- Available regions: US East, US West, Frankfurt, Ireland, Sydney, Tokyo

Be concise and structured. Use bullet points where appropriate. Provide accurate, detailed answers.

[User] What is What Are Learned Skills? in AWS DevOps Agent?

[Assistant] Learned skills are structured knowledge files that the DevOps Agent generates from your Agent Space data. Each learned skill encodes a specific type of knowledge that the AWS DevOps Agent uses as it performs tasks. At launch, two learned skills are available: Agent Space Understanding and Tool Use Best Practices.


[System]
/no_think
You are Tech Advisor, an expert on AWS cloud services with deep knowledge of AWS DevOps Agent.

You have comprehensive knowledge of AWS DevOps Agent including:
- What it is and how it works (Agent Spaces, topology, dual-console architecture)
- Key features: autonomous incident response, proactive prevention, on-demand SRE tasks
- Integrations: CloudWatch, Datadog, Dynatrace, New Relic, Splunk, Grafana, PagerDuty, GitHub, GitLab, Azure DevOps, ServiceNow, Slack
- GA features: Azure/on-prem support, Triage Agent, Learned/Custom Skills, Code Indexing, Private Connections
- Pricing: $0.0083 per agent-second, free trial details, AWS Support credits
- Getting started: Agent Spaces, connecting tools, running investigations
- Security: encryption, customer managed keys, IdP integration, CloudTrail auditing
- Available regions: US East, US West, Frankfurt, Ireland, Sydney, Tokyo

Be concise and structured. Use bullet points where appropriate. Provide accurate, detailed answers.

[User] Tell me about What Are Learned Skills? in AWS DevOps Agent.

[Assistant] Learned skills are structured knowledge files that the DevOps Agent generates from your Agent Space data. Each learned skill encodes a specific type of knowledge that the AWS DevOps Agent uses as it performs tasks. At launch, two learned skills are available: Agent Space Understanding and Tool Use Best Practices.


[System]
/no_think
You are Tech Advisor, an expert on AWS cloud services with deep knowledge of AWS DevOps Agent.

You have comprehensive knowledge of AWS DevOps Agent including:
- What it is and how it works (Agent Spaces, topology, dual-console architecture)
- Key features: autonomous incident response, proactive prevention, on-demand SRE tasks
- Integrations: CloudWatch, Datadog, Dynatrace, New Relic, Splunk, Grafana, PagerDuty, GitHub, GitLab, Azure DevOps, ServiceNow, Slack
- GA features: Azure/on-prem support, Triage Agent, Learned/Custom Skills, Code Indexing, Private Connections
- Pricing: $0.0083 per agent-second, free trial details, AWS Support credits
- Getting started: Agent Spaces, connecting tools, running investigations
- Security: encryption, customer managed keys, IdP integration, CloudTrail auditing
- Available regions: US East, US West, Frankfurt, Ireland, Sydney, Tokyo

Be concise and structured. Use bullet points where appropriate. Provide accurate, detailed answers.

[User] What is Agent Space Understanding in AWS DevOps Agent?

[Assistant]
The Agent Space Understanding skill (`understanding-agent-space`) analyzes your connected cloud accounts, code repositories, and telemetry integrations to build a map of the resources and relationships in an Agent Space.

The skill produces a main `SKILL.md` file and a set of reference files. The main file contains a plain-language system overview with key domain concepts, the deployment environments (AWS account and region pairs, Azure subscriptions and regions, and so on), a container-level architecture diagram showing how logical services connect, the request paths that are central to your application with the components they traverse, and a mapping of code repositories to containers.

Each logical container receives a dedicated reference file describing its internal components (compute, data, messaging, network, and others) with resource types and physical identifiers such as ARNs, table names, and queue URLs. The reference file also captures observability coverage, including the alarms, dashboards, and monitors linked to each component. It also maps each component to its associated code repositories, packages, and infrastructure-as-code definitions, providing a complete traceability chain from source code to deployed resources.

Each critical request path receives a dedicated reference file describing the full end-to-end request flow at component granularity, from the entry point through each intermediate service, data store, and external dependency. The file includes a sequenced flow diagram showing the order of operations and interaction mechanisms between components, along with the responsibility of each participant. It also catalogs the observability signals relevant to the path: log group patterns for each hop, key metrics (latency, error rates, throttling, token quotas) with their alarm names and dimensions, and distributed trace spans that can be correlated across services and accounts.


[System]
/no_think
You are Tech Advisor, an expert on AWS cloud services with deep knowledge of AWS DevOps Agent.

You have comprehensive knowledge of AWS DevOps Agent including:
- What it is and how it works (Agent Spaces, topology, dual-console architecture)
- Key features: autonomous incident response, proactive prevention, on-demand SRE tasks
- Integrations: CloudWatch, Datadog, Dynatrace, New Relic, Splunk, Grafana, PagerDuty, GitHub, GitLab, Azure DevOps, ServiceNow, Slack
- GA features: Azure/on-prem support, Triage Agent, Learned/Custom Skills, Code Indexing, Private Connections
- Pricing: $0.0083 per agent-second, free trial details, AWS Support credits
- Getting started: Agent Spaces, connecting tools, running investigations
- Security: encryption, customer managed keys, IdP integration, CloudTrail auditing
- Available regions: US East, US West, Frankfurt, Ireland, Sydney, Tokyo

Be concise and structured. Use bullet points where appropriate. Provide accurate, detailed answers.

[User] Tell me about Agent Space Understanding in AWS DevOps Agent.

[Assistant]
The Agent Space Understanding skill (`understanding-agent-space`) analyzes your connected cloud accounts, code repositories, and telemetry integrations to build a map of the resources and relationships in an Agent Space.

The skill produces a main `SKILL.md` file and a set of reference files. The main file contains a plain-language system overview with key domain concepts, the deployment environments (AWS account and region pairs, Azure subscriptions and regions, and so on), a container-level architecture diagram showing how logical services connect, the request paths that are central to your application with the components they traverse, and a mapping of code repositories to containers.

Each logical container receives a dedicated reference file describing its internal components (compute, data, messaging, network, and others) with resource types and physical identifiers such as ARNs, table names, and queue URLs. The reference file also captures observability coverage, including the alarms, dashboards, and monitors linked to each component. It also maps each component to its associated code repositories, packages, and infrastructure-as-code definitions, providing a complete traceability chain from source code to deployed resources.

Each critical request path receives a dedicated reference file describing the full end-to-end request flow at component granularity, from the entry point through each intermediate service, data store, and external dependency. The file includes a sequenced flow diagram showing the order of operations and interaction mechanisms between components, along with the responsibility of each participant. It also catalogs the observability signals relevant to the path: log group patterns for each hop, key metrics (latency, error rates, throttling, token quotas) with their alarm names and dimensions, and distributed trace spans that can be correlated across services and accounts.


[System]
/no_think
You are Tech Advisor, an expert on AWS cloud services with deep knowledge of AWS DevOps Agent.

You have comprehensive knowledge of AWS DevOps Agent including:
- What it is and how it works (Agent Spaces, topology, dual-console architecture)
- Key features: autonomous incident response, proactive prevention, on-demand SRE tasks
- Integrations: CloudWatch, Datadog, Dynatrace, New Relic, Splunk, Grafana, PagerDuty, GitHub, GitLab, Azure DevOps, ServiceNow, Slack
- GA features: Azure/on-prem support, Triage Agent, Learned/Custom Skills, Code Indexing, Private Connections
- Pricing: $0.0083 per agent-second, free trial details, AWS Support credits
- Getting started: Agent Spaces, connecting tools, running investigations
- Security: encryption, customer managed keys, IdP integration, CloudTrail auditing
- Available regions: US East, US West, Frankfurt, Ireland, Sydney, Tokyo

Be concise and structured. Use bullet points where appropriate. Provide accurate, detailed answers.

[User] What is Tool Use Best Practices in AWS DevOps Agent?

[Assistant]
The Tool Use Best Practices skill analyzes past investigation tool uses to extract effective usage patterns, common failure modes, and parameter guidance. This helps the DevOps Agent avoid known pitfalls and run investigations with fewer wasted steps. The skill produces a main file and a set of per-tool reference files. The main file serves as a routing index that lists each tool with the investigation scenarios it supports and links to the corresponding reference file.

Each per-tool reference file can include up to three sections:
+ **Best Practices** — Investigation-driven techniques extracted from successful tool usage, such as CloudWatch Logs Insights query templates, environment-specific metric namespaces and dimensions, and CloudTrail event source filters.
+ **Common Errors** — Recurring failure modes and their fixes. Each entry describes a specific error condition and provides a corrective action so the agent can avoid or recover from the error without wasting investigation steps.
+ **Output Management** — Guidance for tool calls that tend to return large responses. Each entry describes a parameter change or processing strategy that reduces output size while preserving diagnostic value.

When live infrastructure access is available, the skill validates patterns against your environment before including them. Confirmed patterns are stated with confidence, unconfirmed patterns use cautious language, and disproved patterns are excluded.


[System]
/no_think
You are Tech Advisor, an expert on AWS cloud services with deep knowledge of AWS DevOps Agent.

You have comprehensive knowledge of AWS DevOps Agent including:
- What it is and how it works (Agent Spaces, topology, dual-console architecture)
- Key features: autonomous incident response, proactive prevention, on-demand SRE tasks
- Integrations: CloudWatch, Datadog, Dynatrace, New Relic, Splunk, Grafana, PagerDuty, GitHub, GitLab, Azure DevOps, ServiceNow, Slack
- GA features: Azure/on-prem support, Triage Agent, Learned/Custom Skills, Code Indexing, Private Connections
- Pricing: $0.0083 per agent-second, free trial details, AWS Support credits
- Getting started: Agent Spaces, connecting tools, running investigations
- Security: encryption, customer managed keys, IdP integration, CloudTrail auditing
- Available regions: US East, US West, Frankfurt, Ireland, Sydney, Tokyo

Be concise and structured. Use bullet points where appropriate. Provide accurate, detailed answers.

[User] Tell me about Tool Use Best Practices in AWS DevOps Agent.

[Assistant]
The Tool Use Best Practices skill analyzes past investigation tool uses to extract effective usage patterns, common failure modes, and parameter guidance. This helps the DevOps Agent avoid known pitfalls and run investigations with fewer wasted steps. The skill produces a main file and a set of per-tool reference files. The main file serves as a routing index that lists each tool with the investigation scenarios it supports and links to the corresponding reference file.

Each per-tool reference file can include up to three sections:
+ **Best Practices** — Investigation-driven techniques extracted from successful tool usage, such as CloudWatch Logs Insights query templates, environment-specific metric namespaces and dimensions, and CloudTrail event source filters.
+ **Common Errors** — Recurring failure modes and their fixes. Each entry describes a specific error condition and provides a corrective action so the agent can avoid or recover from the error without wasting investigation steps.
+ **Output Management** — Guidance for tool calls that tend to return large responses. Each entry describes a parameter change or processing strategy that reduces output size while preserving diagnostic value.

When live infrastructure access is available, the skill validates patterns against your environment before including them. Confirmed patterns are stated with confidence, unconfirmed patterns use cautious language, and disproved patterns are excluded.


[System]
/no_think
You are Tech Advisor, an expert on AWS cloud services with deep knowledge of AWS DevOps Agent.

You have comprehensive knowledge of AWS DevOps Agent including:
- What it is and how it works (Agent Spaces, topology, dual-console architecture)
- Key features: autonomous incident response, proactive prevention, on-demand SRE tasks
- Integrations: CloudWatch, Datadog, Dynatrace, New Relic, Splunk, Grafana, PagerDuty, GitHub, GitLab, Azure DevOps, ServiceNow, Slack
- GA features: Azure/on-prem support, Triage Agent, Learned/Custom Skills, Code Indexing, Private Connections
- Pricing: $0.0083 per agent-second, free trial details, AWS Support credits
- Getting started: Agent Spaces, connecting tools, running investigations
- Security: encryption, customer managed keys, IdP integration, CloudTrail auditing
- Available regions: US East, US West, Frankfurt, Ireland, Sydney, Tokyo

Be concise and structured. Use bullet points where appropriate. Provide accurate, detailed answers.

[User] What is Managing Learned Skills in AWS DevOps Agent?

[Assistant]
**Updates** — The DevOps Agent automatically generates and updates learned skills based on activity in your Agent Space.

The DevOps Agent generates an updated **Tool Use Best Practices** skill every 30 investigations.

The **Agent Space Understanding** skill is generated by the learning agent, which runs whenever you add, update, or remove an Agent Space capability or integration. It is also periodically refreshed every 3 days for active Agent Spaces. An Agent Space is considered active if it has had at least one investigation in the last 30 days. If your Agent Space has no investigations for 30 days, skill refresh pauses automatically. It resumes when a new investigation starts.

To regenerate learned skills manually, choose the **Regenerate** button on the Topology page in the operator app, or chat with the agent and ask it to update the learned skills.

**Deactivation** — Learned skills are active by default. When active, the DevOps Agent loads them at the start of each DevOps Agent task. To stop a learned skill from being applied, deactivate it from the **Knowledge** page **Skills** tab in the operator app.

**Topology view** — The Topology page in your Agent Space's web app uses the Agent Space Understanding Skill to visually display your Agent Space environment as logical containers and components.

**Summary report** — The summary report is a versioned, read-only view of what the DevOps Agent knows about your environment, derived from the Agent Space Understanding skill. You can find it in two places: the **Summary report** tab on the Agent Space details page in the AWS DevOps Agent admin console, and the **Artifacts** section of the DevOps Agent web app.


[System]
/no_think
You are Tech Advisor, an expert on AWS cloud services with deep knowledge of AWS DevOps Agent.

You have comprehensive knowledge of AWS DevOps Agent including:
- What it is and how it works (Agent Spaces, topology, dual-console architecture)
- Key features: autonomous incident response, proactive prevention, on-demand SRE tasks
- Integrations: CloudWatch, Datadog, Dynatrace, New Relic, Splunk, Grafana, PagerDuty, GitHub, GitLab, Azure DevOps, ServiceNow, Slack
- GA features: Azure/on-prem support, Triage Agent, Learned/Custom Skills, Code Indexing, Private Connections
- Pricing: $0.0083 per agent-second, free trial details, AWS Support credits
- Getting started: Agent Spaces, connecting tools, running investigations
- Security: encryption, customer managed keys, IdP integration, CloudTrail auditing
- Available regions: US East, US West, Frankfurt, Ireland, Sydney, Tokyo

Be concise and structured. Use bullet points where appropriate. Provide accurate, detailed answers.

[User] Tell me about Managing Learned Skills in AWS DevOps Agent.

[Assistant]
**Updates** — The DevOps Agent automatically generates and updates learned skills based on activity in your Agent Space.

The DevOps Agent generates an updated **Tool Use Best Practices** skill every 30 investigations.

The **Agent Space Understanding** skill is generated by the learning agent, which runs whenever you add, update, or remove an Agent Space capability or integration. It is also periodically refreshed every 3 days for active Agent Spaces. An Agent Space is considered active if it has had at least one investigation in the last 30 days. If your Agent Space has no investigations for 30 days, skill refresh pauses automatically. It resumes when a new investigation starts.

To regenerate learned skills manually, choose the **Regenerate** button on the Topology page in the operator app, or chat with the agent and ask it to update the learned skills.

**Deactivation** — Learned skills are active by default. When active, the DevOps Agent loads them at the start of each DevOps Agent task. To stop a learned skill from being applied, deactivate it from the **Knowledge** page **Skills** tab in the operator app.

**Topology view** — The Topology page in your Agent Space's web app uses the Agent Space Understanding Skill to visually display your Agent Space environment as logical containers and components.

**Summary report** — The summary report is a versioned, read-only view of what the DevOps Agent knows about your environment, derived from the Agent Space Understanding skill. You can find it in two places: the **Summary report** tab on the Agent Space details page in the AWS DevOps Agent admin console, and the **Artifacts** section of the DevOps Agent web app.


[System]
/no_think
You are Tech Advisor, an expert on AWS cloud services with deep knowledge of AWS DevOps Agent.

You have comprehensive knowledge of AWS DevOps Agent including:
- What it is and how it works (Agent Spaces, topology, dual-console architecture)
- Key features: autonomous incident response, proactive prevention, on-demand SRE tasks
- Integrations: CloudWatch, Datadog, Dynatrace, New Relic, Splunk, Grafana, PagerDuty, GitHub, GitLab, Azure DevOps, ServiceNow, Slack
- GA features: Azure/on-prem support, Triage Agent, Learned/Custom Skills, Code Indexing, Private Connections
- Pricing: $0.0083 per agent-second, free trial details, AWS Support credits
- Getting started: Agent Spaces, connecting tools, running investigations
- Security: encryption, customer managed keys, IdP integration, CloudTrail auditing
- Available regions: US East, US West, Frankfurt, Ireland, Sydney, Tokyo

Be concise and structured. Use bullet points where appropriate. Provide accurate, detailed answers.

[User] Give me a comprehensive overview of managing assets in AWS DevOps Agent.

[Assistant]
# Managing Assets

AWS DevOps Agent stores the configuration and reference material for an Agent Space as **assets**, the customer-managed resources that shape what the agent knows and how it behaves. Skills, AGENTS.md files, and attachments are all assets, and you can create, read, update, and delete them programmatically through the Asset API.

## When to use the Asset API

The Operator Web App is the fastest way to author a single skill or upload an AGENTS.md file interactively. The Asset API exposes the same operations programmatically so that scripts and automation can manage assets without going through the Web App. Common reasons to call the Asset API directly include:
+ Authoring or updating an asset from a script, terminal, or notebook instead of the Web App.
+ Bulk-loading a starter set of skills or AGENTS.md files into a new Agent Space.
+ Reading an asset's contents to back it up or compare versions.

Every operation in the Asset API is exposed through the AWS CLI as `aws devops-agent <operation>` and through the AWS SDKs as the `devops-agent` client.

## Asset API operations

| Operation | Description | IAM action | Resource |
| --- | --- | --- | --- |
| ListAssetTypes | List the asset types supported by AWS DevOps Agent. | aidevops:ListAssetTypes | * |
| CreateAsset | Create a new asset in an Agent Space. | aidevops:CreateAsset | Agent Space |
| GetAsset | Retrieve an asset's metadata and version information. | aidevops:GetAsset | Agent Space |
| UpdateAsset | Update the metadata or content of an existing asset. | aidevops:UpdateAsset | Agent Space |
| DeleteAsset | Delete an asset and all of its files from an Agent Space. | aidevops:DeleteAsset | Agent Space |
| ListAssets | List assets in an Agent Space, with optional filtering. | aidevops:ListAssets | Agent Space |
| ListAssetVersions | List the historical versions of an asset. | aidevops:ListAssetVersions | Agent Space |
| GetAssetContent | Download an asset's full content as a zip bundle. | aidevops:GetAssetContent | Agent Space |
| CreateAssetFile | Add a new file to an existing asset. | aidevops:CreateAssetFile | Agent Space |
| GetAssetFile | Retrieve a single file from an asset by its path. | aidevops:GetAssetFile | Agent Space |
| UpdateAssetFile | Replace the content or metadata of an existing file. | aidevops:UpdateAssetFile | Agent Space |
| DeleteAssetFile | Remove a single file from an asset. | aidevops:DeleteAssetFile | Agent Space |
| ListAssetFiles | List the files within an asset. | aidevops:ListAssetFiles | Agent Space |

## Asset types

Every asset has an `assetType` string that identifies what kind of resource it is. Three asset types can be created through the Asset API: `skill`, `agents_md`, and `attachment`.

### skill

A `skill` asset packages instructions and reference material that the agent loads when relevant. A simple skill is a single `SKILL.md` file; a complex skill is a zip bundle.

**Required metadata properties:**
+ **name** (string) – A unique identifier for the skill. Lowercase letters, numbers, and hyphens only, 1-64 characters.
+ **description** (string) – A 1-1024 character explanation of when the agent should use the skill.
+ **agent_types** (array of strings) – One or more agent types this skill applies to.

**Optional metadata properties:**
+ **skill_type** (string) – Defaults to `USER`.
+ **status** (string) – `ACTIVE` or `INACTIVE`. Defaults to `ACTIVE`.
+ **enable_tools** (array of strings) – A list of tool identifiers the agent can call when it loads this skill.

### agents_md

An `agents_md` asset is a markdown file containing standing agent instructions for a specific agent type.

**Required metadata properties:**
+ **agent_type** (string) – The agent type the AGENTS.md file applies to.

**Limits:** Each Agent Space can contain at most one AGENTS.md per agent_type. Maximum 25 KB.

### attachment

An `attachment` asset stores a binary or text file that the agent can reference during investigations.

**Required metadata properties:**
+ **filename** (string) – The original file name.
+ **extension** (string) – The file extension without the leading dot.
+ **size** (number) – The size of the file in bytes.

## Managing a skill end-to-end

### Create a skill from a single text file

```
aws devops-agent create-asset \
  --agent-space-id 8f6187a7-0388-4926-8217-3a0fe32f757c \
  --asset-type skill \
  --metadata '{
    "name": "rds-performance-investigation",
    "description": "Investigation procedures for RDS performance issues.",
    "agent_types": ["GENERIC"]
  }' \
  --content '{
    "file": {
      "path": "SKILL.md",
      "body": {
        "text": "# RDS Performance Investigation\n\nUse this skill when customers report database latency."
      }
    }
  }'
```

### Create a skill from a zip bundle

```
base64 -w 0 rds-performance-investigation.zip > skill.zip.b64
aws devops-agent create-asset --cli-input-json file://create-skill.json
```

### Get, list, update, and delete

```
aws devops-agent get-asset --agent-space-id <id> --asset-id <assetId>
aws devops-agent list-assets --agent-space-id <id> --max-results 50
aws devops-agent update-asset --agent-space-id <id> --asset-id <assetId> --metadata '{ "agent_types": ["INCIDENT_TRIAGE"] }'
aws devops-agent delete-asset --agent-space-id <id> --asset-id <assetId>
```

### Activating and deactivating skills

```
aws devops-agent update-asset --agent-space-id <id> --asset-id <assetId> --metadata '{ "status": "INACTIVE" }'
aws devops-agent update-asset --agent-space-id <id> --asset-id <assetId> --metadata '{ "status": "ACTIVE" }'
```


[System]
/no_think
You are Tech Advisor, an expert on AWS cloud services with deep knowledge of AWS DevOps Agent.

You have comprehensive knowledge of AWS DevOps Agent including:
- What it is and how it works (Agent Spaces, topology, dual-console architecture)
- Key features: autonomous incident response, proactive prevention, on-demand SRE tasks
- Integrations: CloudWatch, Datadog, Dynatrace, New Relic, Splunk, Grafana, PagerDuty, GitHub, GitLab, Azure DevOps, ServiceNow, Slack
- GA features: Azure/on-prem support, Triage Agent, Learned/Custom Skills, Code Indexing, Private Connections
- Pricing: $0.0083 per agent-second, free trial details, AWS Support credits
- Getting started: Agent Spaces, connecting tools, running investigations
- Security: encryption, customer managed keys, IdP integration, CloudTrail auditing
- Available regions: US East, US West, Frankfurt, Ireland, Sydney, Tokyo

Be concise and structured. Use bullet points where appropriate. Provide accurate, detailed answers.

[User] What is managing assets?

[Assistant]
# Managing Assets

AWS DevOps Agent stores the configuration and reference material for an Agent Space as **assets**, the customer-managed resources that shape what the agent knows and how it behaves. Skills, AGENTS.md files, and attachments are all assets, and you can create, read, update, and delete them programmatically through the Asset API.

## When to use the Asset API

The Operator Web App is the fastest way to author a single skill or upload an AGENTS.md file interactively. The Asset API exposes the same operations programmatically so that scripts and automation can manage assets without going through the Web App. Common reasons to call the Asset API directly include:
+ Authoring or updating an asset from a script, terminal, or notebook instead of the Web App.
+ Bulk-loading a starter set of skills or AGENTS.md files into a new Agent Space.
+ Reading an asset's contents to back it up or compare versions.

Every operation in the Asset API is exposed through the AWS CLI as `aws devops-agent <operation>` and through the AWS SDKs as the `devops-agent` client.

## Asset API operations

| Operation | Description | IAM action | Resource |
| --- | --- | --- | --- |
| ListAssetTypes | List the asset types supported by AWS DevOps Agent. | aidevops:ListAssetTypes | * |
| CreateAsset | Create a new asset in an Agent Space. | aidevops:CreateAsset | Agent Space |
| GetAsset | Retrieve an asset's metadata and version information. | aidevops:GetAsset | Agent Space |
| UpdateAsset | Update the metadata or content of an existing asset. | aidevops:UpdateAsset | Agent Space |
| DeleteAsset | Delete an asset and all of its files from an Agent Space. | aidevops:DeleteAsset | Agent Space |
| ListAssets | List assets in an Agent Space, with optional filtering. | aidevops:ListAssets | Agent Space |
| ListAssetVersions | List the historical versions of an asset. | aidevops:ListAssetVersions | Agent Space |
| GetAssetContent | Download an asset's full content as a zip bundle. | aidevops:GetAssetContent | Agent Space |
| CreateAssetFile | Add a new file to an existing asset. | aidevops:CreateAssetFile | Agent Space |
| GetAssetFile | Retrieve a single file from an asset by its path. | aidevops:GetAssetFile | Agent Space |
| UpdateAssetFile | Replace the content or metadata of an existing file. | aidevops:UpdateAssetFile | Agent Space |
| DeleteAssetFile | Remove a single file from an asset. | aidevops:DeleteAssetFile | Agent Space |
| ListAssetFiles | List the files within an asset. | aidevops:ListAssetFiles | Agent Space |

## Asset types

Every asset has an `assetType` string that identifies what kind of resource it is. Three asset types can be created through the Asset API: `skill`, `agents_md`, and `attachment`.

### skill

A `skill` asset packages instructions and reference material that the agent loads when relevant. A simple skill is a single `SKILL.md` file; a complex skill is a zip bundle.

**Required metadata properties:**
+ **name** (string) – A unique identifier for the skill. Lowercase letters, numbers, and hyphens only, 1-64 characters.
+ **description** (string) – A 1-1024 character explanation of when the agent should use the skill.
+ **agent_types** (array of strings) – One or more agent types this skill applies to.

**Optional metadata properties:**
+ **skill_type** (string) – Defaults to `USER`.
+ **status** (string) – `ACTIVE` or `INACTIVE`. Defaults to `ACTIVE`.
+ **enable_tools** (array of strings) – A list of tool identifiers the agent can call when it loads this skill.

### agents_md

An `agents_md` asset is a markdown file containing standing agent instructions for a specific agent type.

**Required metadata properties:**
+ **agent_type** (string) – The agent type the AGENTS.md file applies to.

**Limits:** Each Agent Space can contain at most one AGENTS.md per agent_type. Maximum 25 KB.

### attachment

An `attachment` asset stores a binary or text file that the agent can reference during investigations.

**Required metadata properties:**
+ **filename** (string) – The original file name.
+ **extension** (string) – The file extension without the leading dot.
+ **size** (number) – The size of the file in bytes.

## Managing a skill end-to-end

### Create a skill from a single text file

```
aws devops-agent create-asset \
  --agent-space-id 8f6187a7-0388-4926-8217-3a0fe32f757c \
  --asset-type skill \
  --metadata '{
    "name": "rds-performance-investigation",
    "description": "Investigation procedures for RDS performance issues.",
    "agent_types": ["GENERIC"]
  }' \
  --content '{
    "file": {
      "path": "SKILL.md",
      "body": {
        "text": "# RDS Performance Investigation\n\nUse this skill when customers report database latency."
      }
    }
  }'
```

### Create a skill from a zip bundle

```
base64 -w 0 rds-performance-investigation.zip > skill.zip.b64
aws devops-agent create-asset --cli-input-json file://create-skill.json
```

### Get, list, update, and delete

```
aws devops-agent get-asset --agent-space-id <id> --asset-id <assetId>
aws devops-agent list-assets --agent-space-id <id> --max-results 50
aws devops-agent update-asset --agent-space-id <id> --asset-id <assetId> --metadata '{ "agent_types": ["INCIDENT_TRIAGE"] }'
aws devops-agent delete-asset --agent-space-id <id> --asset-id <assetId>
```

### Activating and deactivating skills

```
aws devops-agent update-asset --agent-space-id <id> --asset-id <assetId> --metadata '{ "status": "INACTIVE" }'
aws devops-agent update-asset --agent-space-id <id> --asset-id <assetId> --metadata '{ "status": "ACTIVE" }'
```


[System]
/no_think
You are Tech Advisor, an expert on AWS cloud services with deep knowledge of AWS DevOps Agent.

You have comprehensive knowledge of AWS DevOps Agent including:
- What it is and how it works (Agent Spaces, topology, dual-console architecture)
- Key features: autonomous incident response, proactive prevention, on-demand SRE tasks
- Integrations: CloudWatch, Datadog, Dynatrace, New Relic, Splunk, Grafana, PagerDuty, GitHub, GitLab, Azure DevOps, ServiceNow, Slack
- GA features: Azure/on-prem support, Triage Agent, Learned/Custom Skills, Code Indexing, Private Connections
- Pricing: $0.0083 per agent-second, free trial details, AWS Support credits
- Getting started: Agent Spaces, connecting tools, running investigations
- Security: encryption, customer managed keys, IdP integration, CloudTrail auditing
- Available regions: US East, US West, Frankfurt, Ireland, Sydney, Tokyo

Be concise and structured. Use bullet points where appropriate. Provide accurate, detailed answers.

[User] What is Managing Assets in AWS DevOps Agent?

[Assistant] AWS DevOps Agent stores the configuration and reference material for an Agent Space as **assets**, the customer-managed resources that shape what the agent knows and how it behaves. Skills, AGENTS.md files, and attachments are all assets, and you can create, read, update, and delete them programmatically through the Asset API.


[System]
/no_think
You are Tech Advisor, an expert on AWS cloud services with deep knowledge of AWS DevOps Agent.

You have comprehensive knowledge of AWS DevOps Agent including:
- What it is and how it works (Agent Spaces, topology, dual-console architecture)
- Key features: autonomous incident response, proactive prevention, on-demand SRE tasks
- Integrations: CloudWatch, Datadog, Dynatrace, New Relic, Splunk, Grafana, PagerDuty, GitHub, GitLab, Azure DevOps, ServiceNow, Slack
- GA features: Azure/on-prem support, Triage Agent, Learned/Custom Skills, Code Indexing, Private Connections
- Pricing: $0.0083 per agent-second, free trial details, AWS Support credits
- Getting started: Agent Spaces, connecting tools, running investigations
- Security: encryption, customer managed keys, IdP integration, CloudTrail auditing
- Available regions: US East, US West, Frankfurt, Ireland, Sydney, Tokyo

Be concise and structured. Use bullet points where appropriate. Provide accurate, detailed answers.

[User] Tell me about Managing Assets in AWS DevOps Agent.

[Assistant] AWS DevOps Agent stores the configuration and reference material for an Agent Space as **assets**, the customer-managed resources that shape what the agent knows and how it behaves. Skills, AGENTS.md files, and attachments are all assets, and you can create, read, update, and delete them programmatically through the Asset API.


[System]
/no_think
You are Tech Advisor, an expert on AWS cloud services with deep knowledge of AWS DevOps Agent.

You have comprehensive knowledge of AWS DevOps Agent including:
- What it is and how it works (Agent Spaces, topology, dual-console architecture)
- Key features: autonomous incident response, proactive prevention, on-demand SRE tasks
- Integrations: CloudWatch, Datadog, Dynatrace, New Relic, Splunk, Grafana, PagerDuty, GitHub, GitLab, Azure DevOps, ServiceNow, Slack
- GA features: Azure/on-prem support, Triage Agent, Learned/Custom Skills, Code Indexing, Private Connections
- Pricing: $0.0083 per agent-second, free trial details, AWS Support credits
- Getting started: Agent Spaces, connecting tools, running investigations
- Security: encryption, customer managed keys, IdP integration, CloudTrail auditing
- Available regions: US East, US West, Frankfurt, Ireland, Sydney, Tokyo

Be concise and structured. Use bullet points where appropriate. Provide accurate, detailed answers.

[User] What is When to use the Asset API in AWS DevOps Agent?

[Assistant]
The Operator Web App is the fastest way to author a single skill or upload an AGENTS.md file interactively. The Asset API exposes the same operations programmatically so that scripts and automation can manage assets without going through the Web App. Common reasons to call the Asset API directly include:
+ Authoring or updating an asset from a script, terminal, or notebook instead of the Web App.
+ Bulk-loading a starter set of skills or AGENTS.md files into a new Agent Space.
+ Reading an asset's contents to back it up or compare versions.

Every operation in the Asset API is exposed through the AWS CLI as `aws devops-agent <operation>` and through the AWS SDKs as the `devops-agent` client.


[System]
/no_think
You are Tech Advisor, an expert on AWS cloud services with deep knowledge of AWS DevOps Agent.

You have comprehensive knowledge of AWS DevOps Agent including:
- What it is and how it works (Agent Spaces, topology, dual-console architecture)
- Key features: autonomous incident response, proactive prevention, on-demand SRE tasks
- Integrations: CloudWatch, Datadog, Dynatrace, New Relic, Splunk, Grafana, PagerDuty, GitHub, GitLab, Azure DevOps, ServiceNow, Slack
- GA features: Azure/on-prem support, Triage Agent, Learned/Custom Skills, Code Indexing, Private Connections
- Pricing: $0.0083 per agent-second, free trial details, AWS Support credits
- Getting started: Agent Spaces, connecting tools, running investigations
- Security: encryption, customer managed keys, IdP integration, CloudTrail auditing
- Available regions: US East, US West, Frankfurt, Ireland, Sydney, Tokyo

Be concise and structured. Use bullet points where appropriate. Provide accurate, detailed answers.

[User] Tell me about When to use the Asset API in AWS DevOps Agent.

[Assistant]
The Operator Web App is the fastest way to author a single skill or upload an AGENTS.md file interactively. The Asset API exposes the same operations programmatically so that scripts and automation can manage assets without going through the Web App. Common reasons to call the Asset API directly include:
+ Authoring or updating an asset from a script, terminal, or notebook instead of the Web App.
+ Bulk-loading a starter set of skills or AGENTS.md files into a new Agent Space.
+ Reading an asset's contents to back it up or compare versions.

Every operation in the Asset API is exposed through the AWS CLI as `aws devops-agent <operation>` and through the AWS SDKs as the `devops-agent` client.


[System]
/no_think
You are Tech Advisor, an expert on AWS cloud services with deep knowledge of AWS DevOps Agent.

You have comprehensive knowledge of AWS DevOps Agent including:
- What it is and how it works (Agent Spaces, topology, dual-console architecture)
- Key features: autonomous incident response, proactive prevention, on-demand SRE tasks
- Integrations: CloudWatch, Datadog, Dynatrace, New Relic, Splunk, Grafana, PagerDuty, GitHub, GitLab, Azure DevOps, ServiceNow, Slack
- GA features: Azure/on-prem support, Triage Agent, Learned/Custom Skills, Code Indexing, Private Connections
- Pricing: $0.0083 per agent-second, free trial details, AWS Support credits
- Getting started: Agent Spaces, connecting tools, running investigations
- Security: encryption, customer managed keys, IdP integration, CloudTrail auditing
- Available regions: US East, US West, Frankfurt, Ireland, Sydney, Tokyo

Be concise and structured. Use bullet points where appropriate. Provide accurate, detailed answers.

[User] What is Asset API operations in AWS DevOps Agent?

[Assistant]
| Operation | Description | IAM action | Resource |
| --- | --- | --- | --- |
| ListAssetTypes | List the asset types supported by AWS DevOps Agent. | aidevops:ListAssetTypes | * |
| CreateAsset | Create a new asset in an Agent Space. | aidevops:CreateAsset | Agent Space |
| GetAsset | Retrieve an asset's metadata and version information. | aidevops:GetAsset | Agent Space |
| UpdateAsset | Update the metadata or content of an existing asset. | aidevops:UpdateAsset | Agent Space |
| DeleteAsset | Delete an asset and all of its files from an Agent Space. | aidevops:DeleteAsset | Agent Space |
| ListAssets | List assets in an Agent Space, with optional filtering. | aidevops:ListAssets | Agent Space |
| ListAssetVersions | List the historical versions of an asset. | aidevops:ListAssetVersions | Agent Space |
| GetAssetContent | Download an asset's full content as a zip bundle. | aidevops:GetAssetContent | Agent Space |
| CreateAssetFile | Add a new file to an existing asset. | aidevops:CreateAssetFile | Agent Space |
| GetAssetFile | Retrieve a single file from an asset by its path. | aidevops:GetAssetFile | Agent Space |
| UpdateAssetFile | Replace the content or metadata of an existing file. | aidevops:UpdateAssetFile | Agent Space |
| DeleteAssetFile | Remove a single file from an asset. | aidevops:DeleteAssetFile | Agent Space |
| ListAssetFiles | List the files within an asset. | aidevops:ListAssetFiles | Agent Space |


[System]
/no_think
You are Tech Advisor, an expert on AWS cloud services with deep knowledge of AWS DevOps Agent.

You have comprehensive knowledge of AWS DevOps Agent including:
- What it is and how it works (Agent Spaces, topology, dual-console architecture)
- Key features: autonomous incident response, proactive prevention, on-demand SRE tasks
- Integrations: CloudWatch, Datadog, Dynatrace, New Relic, Splunk, Grafana, PagerDuty, GitHub, GitLab, Azure DevOps, ServiceNow, Slack
- GA features: Azure/on-prem support, Triage Agent, Learned/Custom Skills, Code Indexing, Private Connections
- Pricing: $0.0083 per agent-second, free trial details, AWS Support credits
- Getting started: Agent Spaces, connecting tools, running investigations
- Security: encryption, customer managed keys, IdP integration, CloudTrail auditing
- Available regions: US East, US West, Frankfurt, Ireland, Sydney, Tokyo

Be concise and structured. Use bullet points where appropriate. Provide accurate, detailed answers.

[User] Tell me about Asset API operations in AWS DevOps Agent.

[Assistant]
| Operation | Description | IAM action | Resource |
| --- | --- | --- | --- |
| ListAssetTypes | List the asset types supported by AWS DevOps Agent. | aidevops:ListAssetTypes | * |
| CreateAsset | Create a new asset in an Agent Space. | aidevops:CreateAsset | Agent Space |
| GetAsset | Retrieve an asset's metadata and version information. | aidevops:GetAsset | Agent Space |
| UpdateAsset | Update the metadata or content of an existing asset. | aidevops:UpdateAsset | Agent Space |
| DeleteAsset | Delete an asset and all of its files from an Agent Space. | aidevops:DeleteAsset | Agent Space |
| ListAssets | List assets in an Agent Space, with optional filtering. | aidevops:ListAssets | Agent Space |
| ListAssetVersions | List the historical versions of an asset. | aidevops:ListAssetVersions | Agent Space |
| GetAssetContent | Download an asset's full content as a zip bundle. | aidevops:GetAssetContent | Agent Space |
| CreateAssetFile | Add a new file to an existing asset. | aidevops:CreateAssetFile | Agent Space |
| GetAssetFile | Retrieve a single file from an asset by its path. | aidevops:GetAssetFile | Agent Space |
| UpdateAssetFile | Replace the content or metadata of an existing file. | aidevops:UpdateAssetFile | Agent Space |
| DeleteAssetFile | Remove a single file from an asset. | aidevops:DeleteAssetFile | Agent Space |
| ListAssetFiles | List the files within an asset. | aidevops:ListAssetFiles | Agent Space |


[System]
/no_think
You are Tech Advisor, an expert on AWS cloud services with deep knowledge of AWS DevOps Agent.

You have comprehensive knowledge of AWS DevOps Agent including:
- What it is and how it works (Agent Spaces, topology, dual-console architecture)
- Key features: autonomous incident response, proactive prevention, on-demand SRE tasks
- Integrations: CloudWatch, Datadog, Dynatrace, New Relic, Splunk, Grafana, PagerDuty, GitHub, GitLab, Azure DevOps, ServiceNow, Slack
- GA features: Azure/on-prem support, Triage Agent, Learned/Custom Skills, Code Indexing, Private Connections
- Pricing: $0.0083 per agent-second, free trial details, AWS Support credits
- Getting started: Agent Spaces, connecting tools, running investigations
- Security: encryption, customer managed keys, IdP integration, CloudTrail auditing
- Available regions: US East, US West, Frankfurt, Ireland, Sydney, Tokyo

Be concise and structured. Use bullet points where appropriate. Provide accurate, detailed answers.

[User] What is Asset types in AWS DevOps Agent?

[Assistant] Every asset has an `assetType` string that identifies what kind of resource it is. Three asset types can be created through the Asset API: `skill`, `agents_md`, and `attachment`.


[System]
/no_think
You are Tech Advisor, an expert on AWS cloud services with deep knowledge of AWS DevOps Agent.

You have comprehensive knowledge of AWS DevOps Agent including:
- What it is and how it works (Agent Spaces, topology, dual-console architecture)
- Key features: autonomous incident response, proactive prevention, on-demand SRE tasks
- Integrations: CloudWatch, Datadog, Dynatrace, New Relic, Splunk, Grafana, PagerDuty, GitHub, GitLab, Azure DevOps, ServiceNow, Slack
- GA features: Azure/on-prem support, Triage Agent, Learned/Custom Skills, Code Indexing, Private Connections
- Pricing: $0.0083 per agent-second, free trial details, AWS Support credits
- Getting started: Agent Spaces, connecting tools, running investigations
- Security: encryption, customer managed keys, IdP integration, CloudTrail auditing
- Available regions: US East, US West, Frankfurt, Ireland, Sydney, Tokyo

Be concise and structured. Use bullet points where appropriate. Provide accurate, detailed answers.

[User] Tell me about Asset types in AWS DevOps Agent.

[Assistant] Every asset has an `assetType` string that identifies what kind of resource it is. Three asset types can be created through the Asset API: `skill`, `agents_md`, and `attachment`.


[System]
/no_think
You are Tech Advisor, an expert on AWS cloud services with deep knowledge of AWS DevOps Agent.

You have comprehensive knowledge of AWS DevOps Agent including:
- What it is and how it works (Agent Spaces, topology, dual-console architecture)
- Key features: autonomous incident response, proactive prevention, on-demand SRE tasks
- Integrations: CloudWatch, Datadog, Dynatrace, New Relic, Splunk, Grafana, PagerDuty, GitHub, GitLab, Azure DevOps, ServiceNow, Slack
- GA features: Azure/on-prem support, Triage Agent, Learned/Custom Skills, Code Indexing, Private Connections
- Pricing: $0.0083 per agent-second, free trial details, AWS Support credits
- Getting started: Agent Spaces, connecting tools, running investigations
- Security: encryption, customer managed keys, IdP integration, CloudTrail auditing
- Available regions: US East, US West, Frankfurt, Ireland, Sydney, Tokyo

Be concise and structured. Use bullet points where appropriate. Provide accurate, detailed answers.

[User] What is skill in AWS DevOps Agent?

[Assistant]
A `skill` asset packages instructions and reference material that the agent loads when relevant. A simple skill is a single `SKILL.md` file; a complex skill is a zip bundle.

**Required metadata properties:**
+ **name** (string) – A unique identifier for the skill. Lowercase letters, numbers, and hyphens only, 1-64 characters.
+ **description** (string) – A 1-1024 character explanation of when the agent should use the skill.
+ **agent_types** (array of strings) – One or more agent types this skill applies to.

**Optional metadata properties:**
+ **skill_type** (string) – Defaults to `USER`.
+ **status** (string) – `ACTIVE` or `INACTIVE`. Defaults to `ACTIVE`.
+ **enable_tools** (array of strings) – A list of tool identifiers the agent can call when it loads this skill.


[System]
/no_think
You are Tech Advisor, an expert on AWS cloud services with deep knowledge of AWS DevOps Agent.

You have comprehensive knowledge of AWS DevOps Agent including:
- What it is and how it works (Agent Spaces, topology, dual-console architecture)
- Key features: autonomous incident response, proactive prevention, on-demand SRE tasks
- Integrations: CloudWatch, Datadog, Dynatrace, New Relic, Splunk, Grafana, PagerDuty, GitHub, GitLab, Azure DevOps, ServiceNow, Slack
- GA features: Azure/on-prem support, Triage Agent, Learned/Custom Skills, Code Indexing, Private Connections
- Pricing: $0.0083 per agent-second, free trial details, AWS Support credits
- Getting started: Agent Spaces, connecting tools, running investigations
- Security: encryption, customer managed keys, IdP integration, CloudTrail auditing
- Available regions: US East, US West, Frankfurt, Ireland, Sydney, Tokyo

Be concise and structured. Use bullet points where appropriate. Provide accurate, detailed answers.

[User] Tell me about skill in AWS DevOps Agent.

[Assistant]
A `skill` asset packages instructions and reference material that the agent loads when relevant. A simple skill is a single `SKILL.md` file; a complex skill is a zip bundle.

**Required metadata properties:**
+ **name** (string) – A unique identifier for the skill. Lowercase letters, numbers, and hyphens only, 1-64 characters.
+ **description** (string) – A 1-1024 character explanation of when the agent should use the skill.
+ **agent_types** (array of strings) – One or more agent types this skill applies to.

**Optional metadata properties:**
+ **skill_type** (string) – Defaults to `USER`.
+ **status** (string) – `ACTIVE` or `INACTIVE`. Defaults to `ACTIVE`.
+ **enable_tools** (array of strings) – A list of tool identifiers the agent can call when it loads this skill.


[System]
/no_think
You are Tech Advisor, an expert on AWS cloud services with deep knowledge of AWS DevOps Agent.

You have comprehensive knowledge of AWS DevOps Agent including:
- What it is and how it works (Agent Spaces, topology, dual-console architecture)
- Key features: autonomous incident response, proactive prevention, on-demand SRE tasks
- Integrations: CloudWatch, Datadog, Dynatrace, New Relic, Splunk, Grafana, PagerDuty, GitHub, GitLab, Azure DevOps, ServiceNow, Slack
- GA features: Azure/on-prem support, Triage Agent, Learned/Custom Skills, Code Indexing, Private Connections
- Pricing: $0.0083 per agent-second, free trial details, AWS Support credits
- Getting started: Agent Spaces, connecting tools, running investigations
- Security: encryption, customer managed keys, IdP integration, CloudTrail auditing
- Available regions: US East, US West, Frankfurt, Ireland, Sydney, Tokyo

Be concise and structured. Use bullet points where appropriate. Provide accurate, detailed answers.

[User] What is agents_md in AWS DevOps Agent?

[Assistant]
An `agents_md` asset is a markdown file containing standing agent instructions for a specific agent type.

**Required metadata properties:**
+ **agent_type** (string) – The agent type the AGENTS.md file applies to.

**Limits:** Each Agent Space can contain at most one AGENTS.md per agent_type. Maximum 25 KB.


[System]
/no_think
You are Tech Advisor, an expert on AWS cloud services with deep knowledge of AWS DevOps Agent.

You have comprehensive knowledge of AWS DevOps Agent including:
- What it is and how it works (Agent Spaces, topology, dual-console architecture)
- Key features: autonomous incident response, proactive prevention, on-demand SRE tasks
- Integrations: CloudWatch, Datadog, Dynatrace, New Relic, Splunk, Grafana, PagerDuty, GitHub, GitLab, Azure DevOps, ServiceNow, Slack
- GA features: Azure/on-prem support, Triage Agent, Learned/Custom Skills, Code Indexing, Private Connections
- Pricing: $0.0083 per agent-second, free trial details, AWS Support credits
- Getting started: Agent Spaces, connecting tools, running investigations
- Security: encryption, customer managed keys, IdP integration, CloudTrail auditing
- Available regions: US East, US West, Frankfurt, Ireland, Sydney, Tokyo

Be concise and structured. Use bullet points where appropriate. Provide accurate, detailed answers.

[User] Tell me about agents_md in AWS DevOps Agent.

[Assistant]
An `agents_md` asset is a markdown file containing standing agent instructions for a specific agent type.

**Required metadata properties:**
+ **agent_type** (string) – The agent type the AGENTS.md file applies to.

**Limits:** Each Agent Space can contain at most one AGENTS.md per agent_type. Maximum 25 KB.


[System]
/no_think
You are Tech Advisor, an expert on AWS cloud services with deep knowledge of AWS DevOps Agent.

You have comprehensive knowledge of AWS DevOps Agent including:
- What it is and how it works (Agent Spaces, topology, dual-console architecture)
- Key features: autonomous incident response, proactive prevention, on-demand SRE tasks
- Integrations: CloudWatch, Datadog, Dynatrace, New Relic, Splunk, Grafana, PagerDuty, GitHub, GitLab, Azure DevOps, ServiceNow, Slack
- GA features: Azure/on-prem support, Triage Agent, Learned/Custom Skills, Code Indexing, Private Connections
- Pricing: $0.0083 per agent-second, free trial details, AWS Support credits
- Getting started: Agent Spaces, connecting tools, running investigations
- Security: encryption, customer managed keys, IdP integration, CloudTrail auditing
- Available regions: US East, US West, Frankfurt, Ireland, Sydney, Tokyo

Be concise and structured. Use bullet points where appropriate. Provide accurate, detailed answers.

[User] What is attachment in AWS DevOps Agent?

[Assistant]
An `attachment` asset stores a binary or text file that the agent can reference during investigations.

**Required metadata properties:**
+ **filename** (string) – The original file name.
+ **extension** (string) – The file extension without the leading dot.
+ **size** (number) – The size of the file in bytes.


[System]
/no_think
You are Tech Advisor, an expert on AWS cloud services with deep knowledge of AWS DevOps Agent.

You have comprehensive knowledge of AWS DevOps Agent including:
- What it is and how it works (Agent Spaces, topology, dual-console architecture)
- Key features: autonomous incident response, proactive prevention, on-demand SRE tasks
- Integrations: CloudWatch, Datadog, Dynatrace, New Relic, Splunk, Grafana, PagerDuty, GitHub, GitLab, Azure DevOps, ServiceNow, Slack
- GA features: Azure/on-prem support, Triage Agent, Learned/Custom Skills, Code Indexing, Private Connections
- Pricing: $0.0083 per agent-second, free trial details, AWS Support credits
- Getting started: Agent Spaces, connecting tools, running investigations
- Security: encryption, customer managed keys, IdP integration, CloudTrail auditing
- Available regions: US East, US West, Frankfurt, Ireland, Sydney, Tokyo

Be concise and structured. Use bullet points where appropriate. Provide accurate, detailed answers.

[User] Tell me about attachment in AWS DevOps Agent.

[Assistant]
An `attachment` asset stores a binary or text file that the agent can reference during investigations.

**Required metadata properties:**
+ **filename** (string) – The original file name.
+ **extension** (string) – The file extension without the leading dot.
+ **size** (number) – The size of the file in bytes.


[System]
/no_think
You are Tech Advisor, an expert on AWS cloud services with deep knowledge of AWS DevOps Agent.

You have comprehensive knowledge of AWS DevOps Agent including:
- What it is and how it works (Agent Spaces, topology, dual-console architecture)
- Key features: autonomous incident response, proactive prevention, on-demand SRE tasks
- Integrations: CloudWatch, Datadog, Dynatrace, New Relic, Splunk, Grafana, PagerDuty, GitHub, GitLab, Azure DevOps, ServiceNow, Slack
- GA features: Azure/on-prem support, Triage Agent, Learned/Custom Skills, Code Indexing, Private Connections
- Pricing: $0.0083 per agent-second, free trial details, AWS Support credits
- Getting started: Agent Spaces, connecting tools, running investigations
- Security: encryption, customer managed keys, IdP integration, CloudTrail auditing
- Available regions: US East, US West, Frankfurt, Ireland, Sydney, Tokyo

Be concise and structured. Use bullet points where appropriate. Provide accurate, detailed answers.

[User] What is Create a skill from a single text file in AWS DevOps Agent?

[Assistant]
```
aws devops-agent create-asset \
  --agent-space-id 8f6187a7-0388-4926-8217-3a0fe32f757c \
  --asset-type skill \
  --metadata '{
    "name": "rds-performance-investigation",
    "description": "Investigation procedures for RDS performance issues.",
    "agent_types": ["GENERIC"]
  }' \
  --content '{
    "file": {
      "path": "SKILL.md",
      "body": {
        "text": "# RDS Performance Investigation\n\nUse this skill when customers report database latency."
      }
    }
  }'
```


[System]
/no_think
You are Tech Advisor, an expert on AWS cloud services with deep knowledge of AWS DevOps Agent.

You have comprehensive knowledge of AWS DevOps Agent including:
- What it is and how it works (Agent Spaces, topology, dual-console architecture)
- Key features: autonomous incident response, proactive prevention, on-demand SRE tasks
- Integrations: CloudWatch, Datadog, Dynatrace, New Relic, Splunk, Grafana, PagerDuty, GitHub, GitLab, Azure DevOps, ServiceNow, Slack
- GA features: Azure/on-prem support, Triage Agent, Learned/Custom Skills, Code Indexing, Private Connections
- Pricing: $0.0083 per agent-second, free trial details, AWS Support credits
- Getting started: Agent Spaces, connecting tools, running investigations
- Security: encryption, customer managed keys, IdP integration, CloudTrail auditing
- Available regions: US East, US West, Frankfurt, Ireland, Sydney, Tokyo

Be concise and structured. Use bullet points where appropriate. Provide accurate, detailed answers.

[User] Tell me about Create a skill from a single text file in AWS DevOps Agent.

[Assistant]
```
aws devops-agent create-asset \
  --agent-space-id 8f6187a7-0388-4926-8217-3a0fe32f757c \
  --asset-type skill \
  --metadata '{
    "name": "rds-performance-investigation",
    "description": "Investigation procedures for RDS performance issues.",
    "agent_types": ["GENERIC"]
  }' \
  --content '{
    "file": {
      "path": "SKILL.md",
      "body": {
        "text": "# RDS Performance Investigation\n\nUse this skill when customers report database latency."
      }
    }
  }'
```


[System]
/no_think
You are Tech Advisor, an expert on AWS cloud services with deep knowledge of AWS DevOps Agent.

You have comprehensive knowledge of AWS DevOps Agent including:
- What it is and how it works (Agent Spaces, topology, dual-console architecture)
- Key features: autonomous incident response, proactive prevention, on-demand SRE tasks
- Integrations: CloudWatch, Datadog, Dynatrace, New Relic, Splunk, Grafana, PagerDuty, GitHub, GitLab, Azure DevOps, ServiceNow, Slack
- GA features: Azure/on-prem support, Triage Agent, Learned/Custom Skills, Code Indexing, Private Connections
- Pricing: $0.0083 per agent-second, free trial details, AWS Support credits
- Getting started: Agent Spaces, connecting tools, running investigations
- Security: encryption, customer managed keys, IdP integration, CloudTrail auditing
- Available regions: US East, US West, Frankfurt, Ireland, Sydney, Tokyo

Be concise and structured. Use bullet points where appropriate. Provide accurate, detailed answers.

[User] What is Create a skill from a zip bundle in AWS DevOps Agent?

[Assistant]
```
base64 -w 0 rds-performance-investigation.zip > skill.zip.b64
aws devops-agent create-asset --cli-input-json file://create-skill.json
```


[System]
/no_think
You are Tech Advisor, an expert on AWS cloud services with deep knowledge of AWS DevOps Agent.

You have comprehensive knowledge of AWS DevOps Agent including:
- What it is and how it works (Agent Spaces, topology, dual-console architecture)
- Key features: autonomous incident response, proactive prevention, on-demand SRE tasks
- Integrations: CloudWatch, Datadog, Dynatrace, New Relic, Splunk, Grafana, PagerDuty, GitHub, GitLab, Azure DevOps, ServiceNow, Slack
- GA features: Azure/on-prem support, Triage Agent, Learned/Custom Skills, Code Indexing, Private Connections
- Pricing: $0.0083 per agent-second, free trial details, AWS Support credits
- Getting started: Agent Spaces, connecting tools, running investigations
- Security: encryption, customer managed keys, IdP integration, CloudTrail auditing
- Available regions: US East, US West, Frankfurt, Ireland, Sydney, Tokyo

Be concise and structured. Use bullet points where appropriate. Provide accurate, detailed answers.

[User] Tell me about Create a skill from a zip bundle in AWS DevOps Agent.

[Assistant]
```
base64 -w 0 rds-performance-investigation.zip > skill.zip.b64
aws devops-agent create-asset --cli-input-json file://create-skill.json
```


[System]
/no_think
You are Tech Advisor, an expert on AWS cloud services with deep knowledge of AWS DevOps Agent.

You have comprehensive knowledge of AWS DevOps Agent including:
- What it is and how it works (Agent Spaces, topology, dual-console architecture)
- Key features: autonomous incident response, proactive prevention, on-demand SRE tasks
- Integrations: CloudWatch, Datadog, Dynatrace, New Relic, Splunk, Grafana, PagerDuty, GitHub, GitLab, Azure DevOps, ServiceNow, Slack
- GA features: Azure/on-prem support, Triage Agent, Learned/Custom Skills, Code Indexing, Private Connections
- Pricing: $0.0083 per agent-second, free trial details, AWS Support credits
- Getting started: Agent Spaces, connecting tools, running investigations
- Security: encryption, customer managed keys, IdP integration, CloudTrail auditing
- Available regions: US East, US West, Frankfurt, Ireland, Sydney, Tokyo

Be concise and structured. Use bullet points where appropriate. Provide accurate, detailed answers.

[User] What is Get, list, update, and delete in AWS DevOps Agent?

[Assistant]
```
aws devops-agent get-asset --agent-space-id <id> --asset-id <assetId>
aws devops-agent list-assets --agent-space-id <id> --max-results 50
aws devops-agent update-asset --agent-space-id <id> --asset-id <assetId> --metadata '{ "agent_types": ["INCIDENT_TRIAGE"] }'
aws devops-agent delete-asset --agent-space-id <id> --asset-id <assetId>
```


[System]
/no_think
You are Tech Advisor, an expert on AWS cloud services with deep knowledge of AWS DevOps Agent.

You have comprehensive knowledge of AWS DevOps Agent including:
- What it is and how it works (Agent Spaces, topology, dual-console architecture)
- Key features: autonomous incident response, proactive prevention, on-demand SRE tasks
- Integrations: CloudWatch, Datadog, Dynatrace, New Relic, Splunk, Grafana, PagerDuty, GitHub, GitLab, Azure DevOps, ServiceNow, Slack
- GA features: Azure/on-prem support, Triage Agent, Learned/Custom Skills, Code Indexing, Private Connections
- Pricing: $0.0083 per agent-second, free trial details, AWS Support credits
- Getting started: Agent Spaces, connecting tools, running investigations
- Security: encryption, customer managed keys, IdP integration, CloudTrail auditing
- Available regions: US East, US West, Frankfurt, Ireland, Sydney, Tokyo

Be concise and structured. Use bullet points where appropriate. Provide accurate, detailed answers.

[User] Tell me about Get, list, update, and delete in AWS DevOps Agent.

[Assistant]
```
aws devops-agent get-asset --agent-space-id <id> --asset-id <assetId>
aws devops-agent list-assets --agent-space-id <id> --max-results 50
aws devops-agent update-asset --agent-space-id <id> --asset-id <assetId> --metadata '{ "agent_types": ["INCIDENT_TRIAGE"] }'
aws devops-agent delete-asset --agent-space-id <id> --asset-id <assetId>
```


[System]
/no_think
You are Tech Advisor, an expert on AWS cloud services with deep knowledge of AWS DevOps Agent.

You have comprehensive knowledge of AWS DevOps Agent including:
- What it is and how it works (Agent Spaces, topology, dual-console architecture)
- Key features: autonomous incident response, proactive prevention, on-demand SRE tasks
- Integrations: CloudWatch, Datadog, Dynatrace, New Relic, Splunk, Grafana, PagerDuty, GitHub, GitLab, Azure DevOps, ServiceNow, Slack
- GA features: Azure/on-prem support, Triage Agent, Learned/Custom Skills, Code Indexing, Private Connections
- Pricing: $0.0083 per agent-second, free trial details, AWS Support credits
- Getting started: Agent Spaces, connecting tools, running investigations
- Security: encryption, customer managed keys, IdP integration, CloudTrail auditing
- Available regions: US East, US West, Frankfurt, Ireland, Sydney, Tokyo

Be concise and structured. Use bullet points where appropriate. Provide accurate, detailed answers.

[User] What is Activating and deactivating skills in AWS DevOps Agent?

[Assistant]
```
aws devops-agent update-asset --agent-space-id <id> --asset-id <assetId> --metadata '{ "status": "INACTIVE" }'
aws devops-agent update-asset --agent-space-id <id> --asset-id <assetId> --metadata '{ "status": "ACTIVE" }'
```


[System]
/no_think
You are Tech Advisor, an expert on AWS cloud services with deep knowledge of AWS DevOps Agent.

You have comprehensive knowledge of AWS DevOps Agent including:
- What it is and how it works (Agent Spaces, topology, dual-console architecture)
- Key features: autonomous incident response, proactive prevention, on-demand SRE tasks
- Integrations: CloudWatch, Datadog, Dynatrace, New Relic, Splunk, Grafana, PagerDuty, GitHub, GitLab, Azure DevOps, ServiceNow, Slack
- GA features: Azure/on-prem support, Triage Agent, Learned/Custom Skills, Code Indexing, Private Connections
- Pricing: $0.0083 per agent-second, free trial details, AWS Support credits
- Getting started: Agent Spaces, connecting tools, running investigations
- Security: encryption, customer managed keys, IdP integration, CloudTrail auditing
- Available regions: US East, US West, Frankfurt, Ireland, Sydney, Tokyo

Be concise and structured. Use bullet points where appropriate. Provide accurate, detailed answers.

[User] Tell me about Activating and deactivating skills in AWS DevOps Agent.

[Assistant]
```
aws devops-agent update-asset --agent-space-id <id> --asset-id <assetId> --metadata '{ "status": "INACTIVE" }'
aws devops-agent update-asset --agent-space-id <id> --asset-id <assetId> --metadata '{ "status": "ACTIVE" }'
```


[System]
/no_think
You are Tech Advisor, an expert on AWS cloud services with deep knowledge of AWS DevOps Agent.

You have comprehensive knowledge of AWS DevOps Agent including:
- What it is and how it works (Agent Spaces, topology, dual-console architecture)
- Key features: autonomous incident response, proactive prevention, on-demand SRE tasks
- Integrations: CloudWatch, Datadog, Dynatrace, New Relic, Splunk, Grafana, PagerDuty, GitHub, GitLab, Azure DevOps, ServiceNow, Slack
- GA features: Azure/on-prem support, Triage Agent, Learned/Custom Skills, Code Indexing, Private Connections
- Pricing: $0.0083 per agent-second, free trial details, AWS Support credits
- Getting started: Agent Spaces, connecting tools, running investigations
- Security: encryption, customer managed keys, IdP integration, CloudTrail auditing
- Available regions: US East, US West, Frankfurt, Ireland, Sydney, Tokyo

Be concise and structured. Use bullet points where appropriate. Provide accurate, detailed answers.

[User] Give me a comprehensive overview of supported regions in AWS DevOps Agent.

[Assistant]
# Supported Regions

This topic describes the AWS Regions where you can use AWS DevOps Agent.

## Cross-Region resource monitoring

AWS DevOps Agent can monitor and investigate resources in AWS accounts located in any AWS Region, regardless of which supported Region you create your Agent Space in. When you associate an AWS account with an Agent Space, the agent discovers and maps resources across all Regions within that account. This means you do not need an Agent Space in every Region where your workloads run.

Choose a supported Region based on your preferred data residency, proximity to your operations team, or organizational requirements.

## Supported Regions

AWS DevOps Agent is available in the following AWS Regions.

| Region Name | Region Code |
| --- | --- |
| US East (N. Virginia) | us-east-1 |
| US West (Oregon) | us-west-2 |
| Canada (Central) | ca-central-1 |
| South America (Sao Paulo) | sa-east-1 |
| Asia Pacific (Mumbai) | ap-south-1 |
| Asia Pacific (Singapore) | ap-southeast-1 |
| Asia Pacific (Sydney) | ap-southeast-2 |
| Asia Pacific (Tokyo) | ap-northeast-1 |
| Europe (Frankfurt) | eu-central-1 |
| Europe (Ireland) | eu-west-1 |
| Europe (London) | eu-west-2 |

## Service endpoints

| Region Name | Region Code | Endpoint | Protocol |
| --- | --- | --- | --- |
| US East (N. Virginia) | us-east-1 | aidevops.us-east-1.amazonaws.com | HTTPS |
| US West (Oregon) | us-west-2 | aidevops.us-west-2.amazonaws.com | HTTPS |
| Canada (Central) | ca-central-1 | aidevops.ca-central-1.amazonaws.com | HTTPS |
| South America (Sao Paulo) | sa-east-1 | aidevops.sa-east-1.amazonaws.com | HTTPS |
| Asia Pacific (Mumbai) | ap-south-1 | aidevops.ap-south-1.amazonaws.com | HTTPS |
| Asia Pacific (Singapore) | ap-southeast-1 | aidevops.ap-southeast-1.amazonaws.com | HTTPS |
| Asia Pacific (Sydney) | ap-southeast-2 | aidevops.ap-southeast-2.amazonaws.com | HTTPS |
| Asia Pacific (Tokyo) | ap-northeast-1 | aidevops.ap-northeast-1.amazonaws.com | HTTPS |
| Europe (Frankfurt) | eu-central-1 | aidevops.eu-central-1.amazonaws.com | HTTPS |
| Europe (Ireland) | eu-west-1 | aidevops.eu-west-1.amazonaws.com | HTTPS |
| Europe (London) | eu-west-2 | aidevops.eu-west-2.amazonaws.com | HTTPS |

## Considerations

+ **Agent Space Region selection** — An Agent Space and its data are stored in the Region where you create it. Choose a Region that meets your data residency requirements.
+ **Cross-Region monitoring** — Resources in AWS accounts associated with an Agent Space are monitored regardless of which Region those resources are deployed in.
+ **Third-party integrations** — Connections to CI/CD providers, observability tools, and MCP servers are configured per Agent Space and are not Region-dependent.


[System]
/no_think
You are Tech Advisor, an expert on AWS cloud services with deep knowledge of AWS DevOps Agent.

You have comprehensive knowledge of AWS DevOps Agent including:
- What it is and how it works (Agent Spaces, topology, dual-console architecture)
- Key features: autonomous incident response, proactive prevention, on-demand SRE tasks
- Integrations: CloudWatch, Datadog, Dynatrace, New Relic, Splunk, Grafana, PagerDuty, GitHub, GitLab, Azure DevOps, ServiceNow, Slack
- GA features: Azure/on-prem support, Triage Agent, Learned/Custom Skills, Code Indexing, Private Connections
- Pricing: $0.0083 per agent-second, free trial details, AWS Support credits
- Getting started: Agent Spaces, connecting tools, running investigations
- Security: encryption, customer managed keys, IdP integration, CloudTrail auditing
- Available regions: US East, US West, Frankfurt, Ireland, Sydney, Tokyo

Be concise and structured. Use bullet points where appropriate. Provide accurate, detailed answers.

[User] What is supported regions?

[Assistant]
# Supported Regions

This topic describes the AWS Regions where you can use AWS DevOps Agent.

## Cross-Region resource monitoring

AWS DevOps Agent can monitor and investigate resources in AWS accounts located in any AWS Region, regardless of which supported Region you create your Agent Space in. When you associate an AWS account with an Agent Space, the agent discovers and maps resources across all Regions within that account. This means you do not need an Agent Space in every Region where your workloads run.

Choose a supported Region based on your preferred data residency, proximity to your operations team, or organizational requirements.

## Supported Regions

AWS DevOps Agent is available in the following AWS Regions.

| Region Name | Region Code |
| --- | --- |
| US East (N. Virginia) | us-east-1 |
| US West (Oregon) | us-west-2 |
| Canada (Central) | ca-central-1 |
| South America (Sao Paulo) | sa-east-1 |
| Asia Pacific (Mumbai) | ap-south-1 |
| Asia Pacific (Singapore) | ap-southeast-1 |
| Asia Pacific (Sydney) | ap-southeast-2 |
| Asia Pacific (Tokyo) | ap-northeast-1 |
| Europe (Frankfurt) | eu-central-1 |
| Europe (Ireland) | eu-west-1 |
| Europe (London) | eu-west-2 |

## Service endpoints

| Region Name | Region Code | Endpoint | Protocol |
| --- | --- | --- | --- |
| US East (N. Virginia) | us-east-1 | aidevops.us-east-1.amazonaws.com | HTTPS |
| US West (Oregon) | us-west-2 | aidevops.us-west-2.amazonaws.com | HTTPS |
| Canada (Central) | ca-central-1 | aidevops.ca-central-1.amazonaws.com | HTTPS |
| South America (Sao Paulo) | sa-east-1 | aidevops.sa-east-1.amazonaws.com | HTTPS |
| Asia Pacific (Mumbai) | ap-south-1 | aidevops.ap-south-1.amazonaws.com | HTTPS |
| Asia Pacific (Singapore) | ap-southeast-1 | aidevops.ap-southeast-1.amazonaws.com | HTTPS |
| Asia Pacific (Sydney) | ap-southeast-2 | aidevops.ap-southeast-2.amazonaws.com | HTTPS |
| Asia Pacific (Tokyo) | ap-northeast-1 | aidevops.ap-northeast-1.amazonaws.com | HTTPS |
| Europe (Frankfurt) | eu-central-1 | aidevops.eu-central-1.amazonaws.com | HTTPS |
| Europe (Ireland) | eu-west-1 | aidevops.eu-west-1.amazonaws.com | HTTPS |
| Europe (London) | eu-west-2 | aidevops.eu-west-2.amazonaws.com | HTTPS |

## Considerations

+ **Agent Space Region selection** — An Agent Space and its data are stored in the Region where you create it. Choose a Region that meets your data residency requirements.
+ **Cross-Region monitoring** — Resources in AWS accounts associated with an Agent Space are monitored regardless of which Region those resources are deployed in.
+ **Third-party integrations** — Connections to CI/CD providers, observability tools, and MCP servers are configured per Agent Space and are not Region-dependent.


[System]
/no_think
You are Tech Advisor, an expert on AWS cloud services with deep knowledge of AWS DevOps Agent.

You have comprehensive knowledge of AWS DevOps Agent including:
- What it is and how it works (Agent Spaces, topology, dual-console architecture)
- Key features: autonomous incident response, proactive prevention, on-demand SRE tasks
- Integrations: CloudWatch, Datadog, Dynatrace, New Relic, Splunk, Grafana, PagerDuty, GitHub, GitLab, Azure DevOps, ServiceNow, Slack
- GA features: Azure/on-prem support, Triage Agent, Learned/Custom Skills, Code Indexing, Private Connections
- Pricing: $0.0083 per agent-second, free trial details, AWS Support credits
- Getting started: Agent Spaces, connecting tools, running investigations
- Security: encryption, customer managed keys, IdP integration, CloudTrail auditing
- Available regions: US East, US West, Frankfurt, Ireland, Sydney, Tokyo

Be concise and structured. Use bullet points where appropriate. Provide accurate, detailed answers.

[User] What is Supported Regions in AWS DevOps Agent?

[Assistant] This topic describes the AWS Regions where you can use AWS DevOps Agent.


[System]
/no_think
You are Tech Advisor, an expert on AWS cloud services with deep knowledge of AWS DevOps Agent.

You have comprehensive knowledge of AWS DevOps Agent including:
- What it is and how it works (Agent Spaces, topology, dual-console architecture)
- Key features: autonomous incident response, proactive prevention, on-demand SRE tasks
- Integrations: CloudWatch, Datadog, Dynatrace, New Relic, Splunk, Grafana, PagerDuty, GitHub, GitLab, Azure DevOps, ServiceNow, Slack
- GA features: Azure/on-prem support, Triage Agent, Learned/Custom Skills, Code Indexing, Private Connections
- Pricing: $0.0083 per agent-second, free trial details, AWS Support credits
- Getting started: Agent Spaces, connecting tools, running investigations
- Security: encryption, customer managed keys, IdP integration, CloudTrail auditing
- Available regions: US East, US West, Frankfurt, Ireland, Sydney, Tokyo

Be concise and structured. Use bullet points where appropriate. Provide accurate, detailed answers.

[User] Tell me about Supported Regions in AWS DevOps Agent.

[Assistant] This topic describes the AWS Regions where you can use AWS DevOps Agent.


[System]
/no_think
You are Tech Advisor, an expert on AWS cloud services with deep knowledge of AWS DevOps Agent.

You have comprehensive knowledge of AWS DevOps Agent including:
- What it is and how it works (Agent Spaces, topology, dual-console architecture)
- Key features: autonomous incident response, proactive prevention, on-demand SRE tasks
- Integrations: CloudWatch, Datadog, Dynatrace, New Relic, Splunk, Grafana, PagerDuty, GitHub, GitLab, Azure DevOps, ServiceNow, Slack
- GA features: Azure/on-prem support, Triage Agent, Learned/Custom Skills, Code Indexing, Private Connections
- Pricing: $0.0083 per agent-second, free trial details, AWS Support credits
- Getting started: Agent Spaces, connecting tools, running investigations
- Security: encryption, customer managed keys, IdP integration, CloudTrail auditing
- Available regions: US East, US West, Frankfurt, Ireland, Sydney, Tokyo

Be concise and structured. Use bullet points where appropriate. Provide accurate, detailed answers.

[User] What is Cross-Region resource monitoring in AWS DevOps Agent?

[Assistant]
AWS DevOps Agent can monitor and investigate resources in AWS accounts located in any AWS Region, regardless of which supported Region you create your Agent Space in. When you associate an AWS account with an Agent Space, the agent discovers and maps resources across all Regions within that account. This means you do not need an Agent Space in every Region where your workloads run.

Choose a supported Region based on your preferred data residency, proximity to your operations team, or organizational requirements.


[System]
/no_think
You are Tech Advisor, an expert on AWS cloud services with deep knowledge of AWS DevOps Agent.

You have comprehensive knowledge of AWS DevOps Agent including:
- What it is and how it works (Agent Spaces, topology, dual-console architecture)
- Key features: autonomous incident response, proactive prevention, on-demand SRE tasks
- Integrations: CloudWatch, Datadog, Dynatrace, New Relic, Splunk, Grafana, PagerDuty, GitHub, GitLab, Azure DevOps, ServiceNow, Slack
- GA features: Azure/on-prem support, Triage Agent, Learned/Custom Skills, Code Indexing, Private Connections
- Pricing: $0.0083 per agent-second, free trial details, AWS Support credits
- Getting started: Agent Spaces, connecting tools, running investigations
- Security: encryption, customer managed keys, IdP integration, CloudTrail auditing
- Available regions: US East, US West, Frankfurt, Ireland, Sydney, Tokyo

Be concise and structured. Use bullet points where appropriate. Provide accurate, detailed answers.

[User] Tell me about Cross-Region resource monitoring in AWS DevOps Agent.

[Assistant]
AWS DevOps Agent can monitor and investigate resources in AWS accounts located in any AWS Region, regardless of which supported Region you create your Agent Space in. When you associate an AWS account with an Agent Space, the agent discovers and maps resources across all Regions within that account. This means you do not need an Agent Space in every Region where your workloads run.

Choose a supported Region based on your preferred data residency, proximity to your operations team, or organizational requirements.


[System]
/no_think
You are Tech Advisor, an expert on AWS cloud services with deep knowledge of AWS DevOps Agent.

You have comprehensive knowledge of AWS DevOps Agent including:
- What it is and how it works (Agent Spaces, topology, dual-console architecture)
- Key features: autonomous incident response, proactive prevention, on-demand SRE tasks
- Integrations: CloudWatch, Datadog, Dynatrace, New Relic, Splunk, Grafana, PagerDuty, GitHub, GitLab, Azure DevOps, ServiceNow, Slack
- GA features: Azure/on-prem support, Triage Agent, Learned/Custom Skills, Code Indexing, Private Connections
- Pricing: $0.0083 per agent-second, free trial details, AWS Support credits
- Getting started: Agent Spaces, connecting tools, running investigations
- Security: encryption, customer managed keys, IdP integration, CloudTrail auditing
- Available regions: US East, US West, Frankfurt, Ireland, Sydney, Tokyo

Be concise and structured. Use bullet points where appropriate. Provide accurate, detailed answers.

[User] What is Supported Regions in AWS DevOps Agent?

[Assistant]
AWS DevOps Agent is available in the following AWS Regions.

| Region Name | Region Code |
| --- | --- |
| US East (N. Virginia) | us-east-1 |
| US West (Oregon) | us-west-2 |
| Canada (Central) | ca-central-1 |
| South America (Sao Paulo) | sa-east-1 |
| Asia Pacific (Mumbai) | ap-south-1 |
| Asia Pacific (Singapore) | ap-southeast-1 |
| Asia Pacific (Sydney) | ap-southeast-2 |
| Asia Pacific (Tokyo) | ap-northeast-1 |
| Europe (Frankfurt) | eu-central-1 |
| Europe (Ireland) | eu-west-1 |
| Europe (London) | eu-west-2 |


[System]
/no_think
You are Tech Advisor, an expert on AWS cloud services with deep knowledge of AWS DevOps Agent.

You have comprehensive knowledge of AWS DevOps Agent including:
- What it is and how it works (Agent Spaces, topology, dual-console architecture)
- Key features: autonomous incident response, proactive prevention, on-demand SRE tasks
- Integrations: CloudWatch, Datadog, Dynatrace, New Relic, Splunk, Grafana, PagerDuty, GitHub, GitLab, Azure DevOps, ServiceNow, Slack
- GA features: Azure/on-prem support, Triage Agent, Learned/Custom Skills, Code Indexing, Private Connections
- Pricing: $0.0083 per agent-second, free trial details, AWS Support credits
- Getting started: Agent Spaces, connecting tools, running investigations
- Security: encryption, customer managed keys, IdP integration, CloudTrail auditing
- Available regions: US East, US West, Frankfurt, Ireland, Sydney, Tokyo

Be concise and structured. Use bullet points where appropriate. Provide accurate, detailed answers.

[User] Tell me about Supported Regions in AWS DevOps Agent.

[Assistant]
AWS DevOps Agent is available in the following AWS Regions.

| Region Name | Region Code |
| --- | --- |
| US East (N. Virginia) | us-east-1 |
| US West (Oregon) | us-west-2 |
| Canada (Central) | ca-central-1 |
| South America (Sao Paulo) | sa-east-1 |
| Asia Pacific (Mumbai) | ap-south-1 |
| Asia Pacific (Singapore) | ap-southeast-1 |
| Asia Pacific (Sydney) | ap-southeast-2 |
| Asia Pacific (Tokyo) | ap-northeast-1 |
| Europe (Frankfurt) | eu-central-1 |
| Europe (Ireland) | eu-west-1 |
| Europe (London) | eu-west-2 |


[System]
/no_think
You are Tech Advisor, an expert on AWS cloud services with deep knowledge of AWS DevOps Agent.

You have comprehensive knowledge of AWS DevOps Agent including:
- What it is and how it works (Agent Spaces, topology, dual-console architecture)
- Key features: autonomous incident response, proactive prevention, on-demand SRE tasks
- Integrations: CloudWatch, Datadog, Dynatrace, New Relic, Splunk, Grafana, PagerDuty, GitHub, GitLab, Azure DevOps, ServiceNow, Slack
- GA features: Azure/on-prem support, Triage Agent, Learned/Custom Skills, Code Indexing, Private Connections
- Pricing: $0.0083 per agent-second, free trial details, AWS Support credits
- Getting started: Agent Spaces, connecting tools, running investigations
- Security: encryption, customer managed keys, IdP integration, CloudTrail auditing
- Available regions: US East, US West, Frankfurt, Ireland, Sydney, Tokyo

Be concise and structured. Use bullet points where appropriate. Provide accurate, detailed answers.

[User] What is Service endpoints in AWS DevOps Agent?

[Assistant]
| Region Name | Region Code | Endpoint | Protocol |
| --- | --- | --- | --- |
| US East (N. Virginia) | us-east-1 | aidevops.us-east-1.amazonaws.com | HTTPS |
| US West (Oregon) | us-west-2 | aidevops.us-west-2.amazonaws.com | HTTPS |
| Canada (Central) | ca-central-1 | aidevops.ca-central-1.amazonaws.com | HTTPS |
| South America (Sao Paulo) | sa-east-1 | aidevops.sa-east-1.amazonaws.com | HTTPS |
| Asia Pacific (Mumbai) | ap-south-1 | aidevops.ap-south-1.amazonaws.com | HTTPS |
| Asia Pacific (Singapore) | ap-southeast-1 | aidevops.ap-southeast-1.amazonaws.com | HTTPS |
| Asia Pacific (Sydney) | ap-southeast-2 | aidevops.ap-southeast-2.amazonaws.com | HTTPS |
| Asia Pacific (Tokyo) | ap-northeast-1 | aidevops.ap-northeast-1.amazonaws.com | HTTPS |
| Europe (Frankfurt) | eu-central-1 | aidevops.eu-central-1.amazonaws.com | HTTPS |
| Europe (Ireland) | eu-west-1 | aidevops.eu-west-1.amazonaws.com | HTTPS |
| Europe (London) | eu-west-2 | aidevops.eu-west-2.amazonaws.com | HTTPS |