Getting Started
Use the Connector in Your Project
Application Requirements
Java Development Kit (JDK)
The application using the MuleSoft Vectors Connector can use Java Development Kit (JDK) 8, 11 and 17 with following exceptions:
MuleSoft Runtime
The application using the MuleSoft Vectors Connector requires a Mule Runtime >= 1.3.2
.
Option 1: Maven Central Repository
Edit File pom.xml
The MAC Project connectors are constantly updated, and the version is regularly changed.
Make sure to replace {version}
with the latest release from Maven Central (opens in a new tab).
Copy and paste the following Maven Dependency into your Mule application pom file.
<dependency>
<groupId>io.github.mulesoft-ai-chain-project</groupId>
<artifactId>mule4-amazon-bedrock-connector</artifactId>
<version>{version}</version>
<classifier>mule-plugin</classifier>
</dependency>
Option 2: Install Manually using Maven
Build 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 MuleSoft Amazon Berock Connector
Clone the Amazon Bedrock Connector repository from GitHub (will be release mid September):
git clone https://github.com/MuleSoft-AI-Chain-Project/mule-amazon-bedrock-connector.git
cd mule-amazon-bedrock-connector
Install the Connector with Java 8
mvn clean install -Dmaven.test.skip=true -DskipTests -Dgpg.skip
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 -Dgpg.skip -Djdeps.multiRelease=11
For Java 17
mvn clean install -Dmaven.test.skip=true -DskipTests -Dgpg.skip -Djdeps.multiRelease=17
For Java 21
mvn clean install -Dmaven.test.skip=true -DskipTests -Dgpg.skip -Djdeps.multiRelease=21
For Java 22
mvn clean install -Dmaven.test.skip=true -DskipTests -Dgpg.skip -Djdeps.multiRelease=22
Edit File pom.xml
The MAC Project connectors are constantly updated, and the version is regularly changed.
Make sure to replace {version}
with the latest release from our GitHub repository (opens in a new tab).
Add the following dependency to your pom.xml
file:
<dependency>
<groupId>com.mulesoft.connectors</groupId>
<artifactId>mule4-amazon-bedrock-connector</artifactId>
<version>{version}</version>
<classifier>mule-plugin</classifier>
</dependency>
Connector Configuration
The Amazon 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 Amazon Bedrock Config. Select it and press OK.
Authentication
Amazon Bedrock Connector supports multiple LLMs:
- AI21 Labs J2
- Amazon Nova
- Amazon Titan
- Anthropic Claude
- Cohere
- Meta llama2
- Meta llama3
- Mistral AI
- Stability AI
By providing the clientId, clientSecret and sessionToken (optional) the connector is fully configured.