feat(construct): merge image generation with main

Author: Dinesh Sajwan

.gitattributes

@@ -22,6 +22,7 @@ import {
   runSemGrepWorkflow,
   runBanditWorkflow,
   runCommitLintWorkflow,
+  buildCodeGenerationWorkflow,
 } from './projenrc/github-workflows';
 
 // Constants
@@ -39,7 +40,7 @@ const project = new awscdk.AwsCdkConstructLibrary({
   projenVersion: '~0.78.8',
   constructsVersion: '10.3.0',
   defaultReleaseBranch: 'main',
-  jsiiVersion: '~5.1.0',
+  jsiiVersion: '~5.3.0',
   name: '@' + PUBLICATION_NAMESPACE + '/' + PROJECT_NAME,
   projenrcTs: true,
   repositoryUrl: 'https://github.com/' + GITHUB_USER + '/' + PROJECT_NAME,
@@ -116,8 +117,9 @@ buildOrtToolkitWorkflow(project);
 runSemGrepWorkflow(project);
 runBanditWorkflow(project);
 runCommitLintWorkflow(project);
+buildCodeGenerationWorkflow(project);
 
-// Add specific overrides https://projen.io/github.html#actions-versions
+// Add specific overrides https://projen.io/docs/integrations/github/#actions-versions
 project.github?.actions.set('actions/checkout@v3', 'actions/checkout@f43a0e5ff2bd294095638e18286ca9a3d1956744');
 project.github?.actions.set('actions/download-artifact@v3', 'actions/download-artifact@9bc31d5ccc31df68ecc42ccf4149144866c47d8a');
 project.github?.actions.set('actions/github-script@v6', 'actions/github-script@d7906e4ad0b1822421a7e6a35d5ca353c962f410');
@@ -135,6 +137,7 @@ project.github?.actions.set('oss-review-toolkit/ort-ci-github-action@v1', 'oss-r
 project.github?.actions.set('peter-evans/create-issue-from-file@v4', 'peter-evans/create-issue-from-file@433e51abf769039ee20ba1293a088ca19d573b7f');
 project.github?.actions.set('peter-evans/create-pull-request@v4', 'peter-evans/create-pull-request@38e0b6e68b4c852a5500a94740f0e535e0d7ba54');
 project.github?.actions.set('peter-evans/create-pull-request@v5', 'peter-evans/create-pull-request@153407881ec5c347639a548ade7d8ad1d6740e38');
+project.github?.actions.set('aws-actions/[email protected]', 'aws-actions/configure-aws-credentials@e3dd6a429d7300a6a4c196c26e071d42e0343502');
 
 // We don't want to package certain things
 project.npmignore?.addPatterns(
@@ -153,6 +156,7 @@ project.npmignore?.addPatterns(
   'projenrc',
   'tsconfig.dev.json',
   'yarn.lock',
+  '/apidocs/',
 );
 
 // Add License header automatically
@@ -185,11 +189,23 @@ packageJson?.patch(JsonPatch.add('/scripts/postpack', 'pinst --enable'));
 project.addTask('generate-models-containers', {
   description: 'Generate new list of models available from Jumpstart and DLC containers',
   steps: [
+    {
+      say: 'Synthesize project files',
+      spawn: 'default',
+    },
+    {
+      say: 'Compile',
+      spawn: 'compile',
+    },
     {
       say: 'Generate new list of models available from Jumpstart and DLC containers',
       cwd: project.srcdir+'/patterns/gen-ai/aws-model-deployment-sagemaker/code-generation',
       exec: 'npm run generate',
     },
+    {
+      say: 'Generate the new apidocs',
+      spawn: 'post-compile',
+    },
   ],
 });
 

.github/workflows/code-generation.yml

@@ -73,14 +73,14 @@ The following constructs are available in the library:
 |:-------------|:-------------|:-------------|
 | [Data ingestion pipeline](./src/patterns/gen-ai/aws-rag-appsync-stepfn-opensearch/) | Ingestion pipeline providing a RAG (retrieval augmented generation) source for storing documents in a knowledge base. | Amazon OpenSearch, AWS Step Functions, Amazon Bedrock, AWS AppSync, AWS Lambda | 
 | [Question answering](./src/patterns/gen-ai/aws-qa-appsync-opensearch/) | Question answering with a large language model (Anthropic Claude V2.1) using a RAG (retrieval augmented generation) source and/or long context. | Amazon OpenSearch, AWS Lambda, Amazon Bedrock, AWS AppSync | 
-| [Summarization](./src/patterns/gen-ai/aws-summarization-appsync-stepfn/) | Document summarization with a large language model (Anthropic Claude V2.1). | AWS Lambda, Amazon Bedrock, AWS AppSync and Amazon Elasticache for Redis.  |
+| [Summarization](./src/patterns/gen-ai/aws-summarization-appsync-stepfn/) | Document summarization with a large language model (Anthropic Claude V2.1). | AWS Lambda, Amazon Bedrock, AWS AppSync and Amazon ElastiCache for Redis.  |
 | [Lambda layer](./src/patterns/gen-ai/aws-langchain-common-layer/) | Python Lambda layer providing dependencies and utilities to develop generative AI applications on AWS. | AWS Lambda, Amazon Bedrock, Amazon SageMaker | 
-| [SageMaker model deployment (Jumpstart)](./src/patterns/gen-ai/aws-model-deployment-sagemaker/README_jumpstart.md) | Deploy a foundation model from Amazon SageMaker JumpStart to an Amazon SageMaker endpoint. | Amazon SageMaker | 
+| [SageMaker model deployment (JumpStart)](./src/patterns/gen-ai/aws-model-deployment-sagemaker/README_jumpstart.md) | Deploy a foundation model from Amazon SageMaker JumpStart to an Amazon SageMaker endpoint. | Amazon SageMaker | 
 | [SageMaker model deployment (Hugging Face)](./src/patterns/gen-ai/aws-model-deployment-sagemaker/README_hugging_face.md) | Deploy a foundation model from Hugging Face to an Amazon SageMaker endpoint. | Amazon SageMaker | 
 | [SageMaker model deployment (Custom)](./src/patterns/gen-ai/aws-model-deployment-sagemaker/README_custom_sagemaker_endpoint.md) | Deploy a foundation model from an S3 location to an Amazon SageMaker endpoint. | Amazon SageMaker | 
-| [Amazon Bedrock](./src/cdk-lib/bedrock/README.md) | CDK L2 Constructs for Amazon Bedrock | Amazon Bedrock, Amazon OpenSearch Serverless, AWS Lambda |
-| [Amazon OpenSearch Serverless Vector Collection](./src/cdk-lib/opensearchserverless/README.md) | CDK L2 Constructs to create a vector collection | Amazon OpenSearch Vector Index |
-| [Amazon OpenSearch Vector Index](./src/cdk-lib/opensearch-vectorindex/README.md) | CDK L1 Custom Resource to create a vector index | Amazon OpenSearch Serverless, AWS Lambda |
+| [Amazon Bedrock](./src/cdk-lib/bedrock/README.md) | CDK L2 Constructs for Amazon Bedrock. | Amazon Bedrock, Amazon OpenSearch Serverless, AWS Lambda |
+| [Amazon OpenSearch Serverless Vector Collection](./src/cdk-lib/opensearchserverless/README.md) | CDK L2 Constructs to create a vector collection. | Amazon OpenSearch Vector Index |
+| [Amazon OpenSearch Vector Index](./src/cdk-lib/opensearch-vectorindex/README.md) | CDK L1 Custom Resource to create a vector index. | Amazon OpenSearch Serverless, AWS Lambda |
 
 # Sample Use Cases
 
@@ -93,6 +93,8 @@ The official samples repository https://github.com/aws-samples/generative-ai-cdk
 | [AWS re:Invent 2023 - Keynote with Dr. Werner Vogels](https://youtu.be/UTRBVPvzt9w?t=6252) | Dr. Werner Vogels, Amazon.com's VP and CTO, announces the AWS Generative AI CDK Constructs during his AWS re:Invent 2023 keynote. |
 | [aws-cdk-stack-builder-tool](https://github.com/aws-samples/aws-cdk-stack-builder-tool) | AWS CDK Builder is a browser-based tool designed to streamline bootstrapping of Infrastructure as Code (IaC) projects using the AWS Cloud Development Kit (CDK). |
 | [CDK Live! Building generative AI applications and architectures leveraging AWS CDK Constructs!](https://www.youtube.com/watch?v=NI1F4Xxqyr8) | CDK Live! episode focused on building and deploying generative AI applications and architectures on AWS using the AWS Cloud Development Kit (CDK) and the AWS Generative AI CDK Constructs. |
+| [Announcing AWS Generative AI CDK Constructs!](https://aws.amazon.com/blogs/devops/announcing-generative-ai-cdk-constructs/) | Blog post announcing the release of the AWS Generative AI CDK Constructs. |
+| [aws-genai-llm-chatbot](https://github.com/aws-samples/aws-genai-llm-chatbot/tree/main) | Multi-Model and Multi-RAG Powered Chatbot Using AWS CDK on AWS allowing you to experiment with a variety of Large Language Models and Multimodal Language Models, settings and prompts in your own AWS account. |
 
 # Operational Metrics Collection
 

.gitignore

@@ -34,7 +34,6 @@
 - [node](CustomSageMakerEndpoint.md#node)
 - [role](CustomSageMakerEndpoint.md#role)
 - [startupHealthCheckTimeoutInSeconds](CustomSageMakerEndpoint.md#startuphealthchecktimeoutinseconds)
-- [volumeSizeInGb](CustomSageMakerEndpoint.md#volumesizeingb)
 
 ### Methods
 
@@ -164,12 +163,6 @@ ___
 
 • `Private` `Readonly` **startupHealthCheckTimeoutInSeconds**: `number`
 
-___
-
-### volumeSizeInGb
-
-• `Optional` `Readonly` **volumeSizeInGb**: `number`
-
 ## Methods
 
 ### addToRolePolicy