AWS marketplace: Marketplace container AI agent listing guide restructured
Summary
Editorial rewrite of the AWS Marketplace container AI-agent listing guide: standalone 'Note' blocks are folded into inline sentences, AgentCore pricing guidance is clarified (usage/contract only, Hourly unsupported), the repository limit is changed from 50 to 70 per product, per-version image limits are restated (1 image for AgentCore delivery options, up to 50 otherwise), refund-policy and Custom EULA steps are clarified, and the automatic container-image security scan note is reworded. No new security controls or procedures are introduced.
Security assessment
The only security-adjacent line is a rewording of the pre-existing statement that AWS Marketplace automatically scans container images against product requirements and links to the 'Container product scans for security issues' page; the diff merely converts the old 'Note' block into inline prose and does not add, change, or fix any security control, so it is not tied to a specific vulnerability or incident. Remaining edits are pricing, quota (50 to 70 repositories), EULA/refund, and navigation clarifications with no security impact.
Evidence
+ 5. After you upload your artifacts, you're ready to create the version of your product. AWS Marketplace scans your container images automatically to check that they meet the [Container-based product requirements for AWS Marketplace](./container-product-policies.html). For more information, see [Container product scans for security issues](./container-product-getting-started.html#container-security).
Diff
diff --git a/marketplace/latest/userguide/listing-container-ai-agents.md b/marketplace/latest/userguide/listing-container-ai-agents.md index 43687a8..0197d58 100644 --- a//marketplace/latest/userguide/listing-container-ai-agents.md +++ b//marketplace/latest/userguide/listing-container-ai-agents.md @@ -65,5 +65 @@ You can use AI-assisted product listing in AWS Partner Assistant to generate pro - 1. Choose pricing model. - -###### AgentCore pricing limitations - -If the container image uses AgentCore, the **Hourly** and **Usage with long-term contract** pricing models are not supported. To learn more about contract pricing, see [Contract pricing for container products with AWS License Manager](./container-license-manager-integration.html). To learn more about custom metering for usage-based pricing, see [Configuring custom metering for container products with AWS Marketplace Metering Service](./container-metering-meterusage.html). + 1. Choose a pricing model. If the container image uses AgentCore, choose usage or contract pricing. **Hourly** pricing isn't compatible with Amazon Bedrock AgentCore Runtime. To learn more about contract pricing, see [Contract pricing for container products with AWS License Manager](./container-license-manager-integration.html). To learn more about custom metering for usage-based pricing, see [Configuring custom metering for container products with AWS Marketplace Metering Service](./container-metering-meterusage.html). @@ -82 +78 @@ If the container image uses AgentCore, the **Hourly** and **Usage with long-term - 1. Enter a refund policy. + 1. Enter a refund policy. If you chose the free pricing model, skip this step. @@ -89,4 +84,0 @@ If the container image uses AgentCore, the **Hourly** and **Usage with long-term -###### Note - -If you chose the free product pricing model, you do not have to enter a refund policy. - @@ -95,5 +87 @@ If you chose the free product pricing model, you do not have to enter a refund p - 1. Choose **Standard Contract for AWS Marketplace** or **Custom EULA**. - -###### Note - -If you choose Custom EULA, enter a URL for the end-user license agreement. + 1. Choose **Standard Contract for AWS Marketplace** or **Custom EULA**. If you choose **Custom EULA** , enter a URL for the end-user license agreement. @@ -108,5 +96 @@ If you choose Custom EULA, enter a URL for the end-user license agreement. - 1. Add an initial repository for your container product. - -###### Note - -Repository names must be unique across all products in your seller account. You can create up to 50 repositories per product. + 1. Add an initial repository for your container product. Repository names must be unique across all products in your seller account. A product can have up to 70 repositories. @@ -136,3 +120 @@ Wait 10-15 minutes until your request status is in the _Succeeded_ state. -###### Note - -See [Amazon Bedrock AgentCore Runtime for AWS Marketplace](./bedrock-agentcore-runtime.html) on how to integrate AgentCore with your Container Image. +For information about integrating AgentCore with your container image, see [Amazon Bedrock AgentCore Runtime for AWS Marketplace](./bedrock-agentcore-runtime.html). @@ -150,7 +132 @@ See [Amazon Bedrock AgentCore Runtime for AWS Marketplace](./bedrock-agentcore-r -###### Note - -You can use the following Amazon Elastic Container Registry (Amazon ECR) API operations when calling docker pull or docker push: - - * DescribeImages - Use this to review the metadata about the images in a repository. - - * GetAuthorizationToken - Use to authenticate before uploading artifacts to the repository, then use docker pull or docker push commands. + 3. Use the commands listed to push any needed artifacts from your local repository to the AWS Marketplace repository for your product. The tag that you provide in the push command identifies the version of the artifact. Use a tag that matches the product version that the artifact belongs to. @@ -158 +134 @@ You can use the following Amazon Elastic Container Registry (Amazon ECR) API ope - * ListImages - Use to view a list of images you pushed. + 4. Repeat for each container image or artifact that your version needs. A delivery option that supports Amazon Bedrock AgentCore can include one container image. Other delivery options can include up to 50 container images or artifacts. For all limits, see [Limits for container product versions](./container-add-version.html#container-version-limits). @@ -160,17 +136 @@ You can use the following Amazon Elastic Container Registry (Amazon ECR) API ope - 3. Use the commands listed to push any needed artifacts from your local repository to the AWS Marketplace repository for your product. - -###### Note - -The tag that you provide in the push commands is used to differentiate the version of the artifact that you are uploading to the repository. Use a tag that makes sense for the version the artifacts are a part of. - - 4. Repeat for each container image or artifact you need in your version. - -###### Note - -Your version can include up to 50 container images or artifacts in each delivery option. Refer to the following procedure for more information about delivery options. - - 5. After you upload your artifacts, you're ready to create the version of your product. - -###### Note - -Your container images are scanned automatically to see if they meet the [Container-based product requirements for AWS Marketplace](./container-product-policies.html). For more information, see [Container product scans for security issues](./container-product-getting-started.html#container-security). + 5. After you upload your artifacts, you're ready to create the version of your product. AWS Marketplace scans your container images automatically to check that they meet the [Container-based product requirements for AWS Marketplace](./container-product-policies.html). For more information, see [Container product scans for security issues](./container-product-getting-started.html#container-security). @@ -183,5 +143 @@ Your container images are scanned automatically to see if they meet the [Contain - 1. Open the **AI Agents and Tools** products page in AWS Partner Central. - -###### Note - -Only container products with versions that support Amazon Bedrock AgentCore Runtime are visible in the **AI Agents and Tools** products page. Before adding the first version, you will only find your product within the **Server** products page in AWS Partner Central. Once you've created the version for Amazon Bedrock AgentCore Runtime, you will find your container product within the **AI Agents and Tools** products page. + 1. Open the **AI Agents and Tools** products page in AWS Partner Central. This page shows only container products that have a version that supports Amazon Bedrock AgentCore Runtime. Until you add that first version, open your product from the **Server** products page instead. @@ -201 +157 @@ Only container products with versions that support Amazon Bedrock AgentCore Runt - * **Supported services** : select the environment that buyers can launch the software in. + * **Supported services** : select the environment that buyers can launch the software in. A delivery option that supports Amazon Bedrock AgentCore can't include other services. @@ -258,3 +214 @@ When listing a containerized agent, provide clear deployment instructions, resou -###### Note - -See [Amazon Bedrock AgentCore Runtime for AWS Marketplace](./bedrock-agentcore-runtime.html) for more details. +For more information, see [Amazon Bedrock AgentCore Runtime for AWS Marketplace](./bedrock-agentcore-runtime.html).