v2.1.0

Added

• Support for using Amazon Bedrock Agents (#49).
• Support for new LLMs available through Amazon Bedrock.
• Support for Bedrock cross-region inference profiles.
• Support for using existing Amazon Cognito user pool configuration when deploying the application and its use cases (#129).

Changed

• Use LCEL to replace LangChain Chains in the solution's implementation

Fixed

• Fixed issue when removing a score threshold on an existing use case (#154).

Security

• Updated library versions to address security vulnerabilities

External Contributors

• @majdarbash for #129

v2.0.4

Security

• Updated node library versions to address security vulnerabilities

v2.0.3

Fixed

• Resolved an issue where use case deployments would fail when manually disabling anonymous metrics via the provided CloudFormation mapping

Security

• Updated library versions to address security vulnerabilities

v2.0.2

Fixed

• Issue #135 Added a new IAM permission for the cognito-idp:GetGroup action to the CloudFormation deployment role (used when deploying use cases). This was required due to a service change.

v2.0.1

Changed

• With the release of AWS-Solutions-Constructs v2.65.0, the AWS ApiGateway websocket integration with Amazon SQS Queue is available in the library. Hence the implementation has been updated to use this construct.

Fixed

• Issue #131 which caused an issue with rendering non-S3 source URLs from vector store for a RAG based use case.
• Issue #132 where configured Guardrails for Amazon Bedrock to have no effect on a use case's text input validations and output responses.
• Wizard validation failure for SageMaker model selection type, that allowed user to navigate ahead even when the page had failed validations.
• An AWS WAF rule that blocked larger payloads for HTTP POST request to the /deployments endpoint. This restricted configuring large system prompts (over 8 KB) for use case cases.

v2.0.0

Added

• Support for Knowledge Bases for Amazon Bedrock as an option for Retrieval Augmented Generation (RAG) based workflows.
• Support for Identity Federation (OpenID Connect or SAML 2.0) through Amazon Cognito.
• Ability to add role-based access control for Amazon Kendra for controlling access over documents that can be retrieved while using RAG based workflows.
• Provisioned Throughput support for Amazon Bedrock models, allowing custom and provisioned base models to be added as the backing LLMs for the text use case.
• Enhanced prompt interface, allowing fine-grained control over prompts (including disambiguation prompts for RAG), message history and input lengths.
• Streamlined upgrade scripts for upgrading from v1.4.x to v2.0.0. For detailed steps, refer to the following section
• Model support for Amazon Titan Text G1 - Premier

Changed

• Deprecated direct Anthropic and Hugging Face LLMs in favour of integrating them through Amazon Bedrock and Amazon SageMaker.
• Switch login screens from amplify-ui to Cognito Hosted UI to support Identity Federation.
• Switch from webpack to vite for building and packaging UI projects.
• Updates to Node and Python package versions.

v1.4.5

Security

• Updated library versions to address security vulnerabilities

v1.4.4

Security

• Updated library versions to address security vulnerabilities

v1.4.3

Security

• Updated package versions to resolve vulnerabilities

v1.4.2

Changed

• Switched to using langchain-aws library for Bedrock and SageMaker LangChain calls instead of langchain-community.