Update to version v1.4.0

Author: ihmaws

CHANGELOG.md

@@ -5,6 +5,26 @@ All notable changes to this project will be documented in this file.
 The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
 and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
 
+## [1.4.0] - 2024-04-04
+
+### Added
+
+-   Support for newest Bedrock models: Anthropic Claude v3 and Mistral family of models ([#79](https://github.com/aws-solutions/generative-ai-application-builder-on-aws/issues/79))
+
+### Changed
+
+-   Significantly increased default prompt and chat input character limits. Should now support ~50% of the model's input prompt limit
+
+### Fixed
+
+-   UI input validation misaligned with backend limits ([#80](https://github.com/aws-solutions/generative-ai-application-builder-on-aws/issues/80))
+-   Missing hyperlink to solution landing page in README ([#65](https://github.com/aws-solutions/generative-ai-application-builder-on-aws/pull/65))
+
+### Security
+
+-   Updated package versions to resolve vulnerabilities
+
+
 ## [1.3.3] - 2024-03-28
 
 ### Fixed

README.md

@@ -1,6 +1,6 @@
 ## Generative AI Application Builder on AWS
 
-The Generative AI Application Builder (GAAB) on AWS solution provides a web-based management dashboard to deploy customizable Generative AI (Gen AI) use cases. This Deployment dashboard allows customers to deploy, experiment with, and compare different combinations of Large Language Model (LLM) use cases. Once customers have successfully configured and optimized their use case, they can take their deployment into production and integrate it within their applications.
+The [Generative AI Application Builder on AWS](https://aws.amazon.com/solutions/implementations/generative-ai-application-builder-on-aws/) solution (GAAB) provides a web-based management dashboard to deploy customizable Generative AI (Gen AI) use cases. This Deployment dashboard allows customers to deploy, experiment with, and compare different combinations of Large Language Model (LLM) use cases. Once customers have successfully configured and optimized their use case, they can take their deployment into production and integrate it within their applications.
 
 The Generative AI Application Builder is published under an Apache 2.0 license and is targeted for novice to experienced users who want to experiment and productionize different Gen AI use cases. The solution uses [LangChain](https://www.langchain.com/) open-source software (OSS) to configure connections to your choice of Large Language Models (LLMs) for different use cases. The first release of GAAB allows users to deploy chat use cases which allow the ability to query over users' enterprise data in a chatbot-style User Interface (UI), along with an API to support custom end-user implementations.
 

deployment/build-s3-dist.sh

@@ -40,7 +40,7 @@ set -e
 # Check to see if input has been provided:
 if [ -z "$1" ] || [ -z "$2" ] || [ -z "$3" ] || [ -z "$4" ]; then
     echo "Please provide all required parameters for the build script"
-    echo "For example: ./build-s3-dist.sh solutions trademarked-solution-name v1.3.3 template-bucket-name"
+    echo "For example: ./build-s3-dist.sh solutions trademarked-solution-name v1.4.0 template-bucket-name"
     exit 1
 fi
 

source/infrastructure/cdk.json

@@ -62,7 +62,7 @@
     "@aws-cdk/aws-codepipeline-actions:useNewDefaultBranchForCodeCommitSource": true,
     "solution_id": "SO0276",
     "solution_name": "generative-ai-application-builder-on-aws",
-    "solution_version": "v1.3.3",
+    "solution_version": "v1.4.0",
     "app_registry_name": "GAAB",
     "application_type": "AWS-Solutions",
     "application_trademark_name": "Generative AI Application Builder on AWS"

source/infrastructure/lib/use-case-management/management-stack.ts

@@ -543,23 +543,26 @@ const buildCfnDeployRole = (scope: Construct): iam.Role => {
                         effect: iam.Effect.ALLOW,
                         actions: [
                             'iam:AttachRolePolicy',
-                            'iam:CreateRole',
                             'iam:DeleteRole',
                             'iam:DeleteRolePolicy',
                             'iam:DetachRolePolicy',
                             'iam:GetRole',
                             'iam:GetRolePolicy',
                             'iam:PutRolePolicy',
-                            'iam:TagRole',
                             'iam:UpdateAssumeRolePolicy',
-                            'iam:PassRole'
+                            'iam:PassRole',
+                            'iam:CreateRole',
+                            'iam:TagRole',
+                            'iam:ListRoleTags'
                         ],
                         resources: [
                             `arn:${cdk.Aws.PARTITION}:iam::${cdk.Aws.ACCOUNT_ID}:role/*`,
                             `arn:${cdk.Aws.PARTITION}:iam::${cdk.Aws.ACCOUNT_ID}:policy/*`
                         ],
                         conditions: {
-                            ...awsTagKeysCondition
+                            'ForAllValues:StringEquals': {
+                                'aws:TagKeys': ['createdVia', 'userId', 'Name']
+                            }
                         }
                     }),
                     new iam.PolicyStatement({

source/infrastructure/lib/utils/constants.ts

@@ -17,7 +17,7 @@ import * as lambda from 'aws-cdk-lib/aws-lambda';
 export const THIRD_PARTY_LEGAL_DISCLAIMER =
     'Generative AI Application Builder on AWS allows you to build and deploy generative artificial intelligence (GAI) applications on AWS by engaging the GAI model of your choice, including third-party GAI models that you may choose to use that AWS does not own or otherwise have any control over (“Third-Party GAI Models”). Your use of the Third-Party GAI Models is governed by the terms provided to you by the Third-Party GAI Model providers when you acquired your license to use them (for example, their terms of service, license agreement, acceptable use policy, and privacy policy). You are responsible for ensuring that your use of the Third-Party GAI Models comply with the terms governing them, and any laws, rules, regulations, policies, or standards that apply to you. You are also responsible for making your own independent assessment of the Third-Party GAI Models that you use, including their outputs and how Third-Party GAI Model providers use any data that may be transmitted to them based on your deployment configuration. AWS does not make any representations, warranties, or guarantees regarding the Third-Party GAI Models, which are “Third-Party Content” under your agreement with AWS. Generative AI Application Builder on AWS is offered to you as “AWS Content” under your agreement with AWS.';
 
-export const ANONYMOUS_METRICS_SCHEDULE = 'rate(1 hour)'; // runs every 1 hour
+export const ANONYMOUS_METRICS_SCHEDULE = 'rate(1 day)';
 
 export const PLACEHOLDER_EMAIL = '[email protected]';
 export const INTERNAL_EMAIL_DOMAIN = 'amazon';

source/infrastructure/package-lock.json

@@ -1,6 +1,6 @@
 {
   "name": "gen-ai-app-builder-on-aws-infrastructure",
-  "version": "1.3.3",
+  "version": "1.4.0",
   "bin": {
     "infrastructure": "bin/gen-ai-app-builder.js"
   },

source/infrastructure/package.json

@@ -1,6 +1,6 @@
 {
   "name": "node-lambda",
-  "version": "1.3.3",
+  "version": "1.4.0",
   "description": "A mock lambda implementation for CDK infrastructure unit",
   "main": "index.js",
   "scripts": {