Getting Started

System Requirements

Before you start, ensure you have the following prerequisites:

• Java Development Kit (JDK) 8, 11, and 17
• Apache Maven
• MuleSoft Anypoint Studio

Download the AWS Berock Connector

Clone the AWS Bedrock Connector repository from GitHub (will be release mid September):

git clone https://github.com/MuleSoft-AI-Chain-Project/mac-aws-bedrock.git
cd mac-aws-bedrock

Install the Connector with Java 8

mvn clean install -Dmaven.test.skip=true -DskipTests

Installing with Java 11, 17, 21, 22, etc.

Step 1

export MAVEN_OPTS="--add-opens=java.base/java.util=ALL-UNNAMED --add-opens=java.base/java.net=ALL-UNNAMED --add-opens=java.base/java.util.regex=ALL-UNNAMED --add-opens=java.base/java.lang.reflect=ALL-UNNAMED --add-opens=java.base/java.lang=ALL-UNNAMED --add-opens=java.xml/javax.xml.namespace=ALL-UNNAMED"

Step 2

 
For Java 11
mvn clean install -Dmaven.test.skip=true -DskipTests -Djdeps.multiRelease=11
 
For Java 17
mvn clean install -Dmaven.test.skip=true -DskipTests -Djdeps.multiRelease=17
 
For Java 21
mvn clean install -Dmaven.test.skip=true -DskipTests -Djdeps.multiRelease=21
 
For Java 22
mvn clean install -Dmaven.test.skip=true -DskipTests -Djdeps.multiRelease=22

Add the Connector to your Project

Add the following dependency to your pom.xml file:

<dependency>
  <groupId>com.mule.mulechain</groupId>
  <artifactId>mulechain-bedrock</artifactId>
  <version>{version}</version>
  <classifier>mule-plugin</classifier>
</dependency>

Configuration

The MAC AWS Bedrock connector can be easily configured. Go to the Global Elements in your MuleSoft project, and create a new configuration. In the Connector Configuration, you will find the AWS Bedrock Config. Select it and press OK.

Authentication

AWS Bedrock supports multiple LLMs:

• AI21 Labs
• Amazon
• Anthropic
• Cohere
• Meta
• Mistral AI
• Stability AI

By providing the clientId, clientSecret and sessionToken (optional) the connector is fully configured.