Amazon Bedrock Connector 1.1

Invoke leading foundation models and integrate agents running on Amazon Bedrock AgentCore directly within Mule flows. Use AgentCore runtime and memory capabilities to build contextual, multi-step agentic workflows across enterprise systems.

Send PDFs and images alongside prompts to supported multimodal models to analyze documents, images, charts, and other visual content and use the results in downstream Mule workflows.

Build enterprise-grade AI applications without managing model infrastructure. Amazon Bedrock’s managed capabilities combined with MuleSoft integration enable you to securely operationalize AI across applications and workflows.

Access supported foundation models through a consistent MuleSoft interface. This reduces model-specific integration complexity and makes it easier to use different models across your AI applications.

Access supported Amazon Bedrock foundation models to generate content, analyze information, perform reasoning, and build AI-powered experiences.

Include PDFs and images with prompts to analyze documents, charts, diagrams, and visual content using supported multimodal models.

Integrate agents running on Amazon Bedrock AgentCore into Mule workflows. Invoke agents and use memory capabilities to build contextual, stateful agent experiences across enterprise systems.

Generate vector embeddings to enable semantic search, similarity matching, and Retrieval-Augmented Generation (RAG) use cases.

Connect AI experiences with APIs, applications, and enterprise data to enable actions and multi-step business workflows.

Use supported image models to generate images directly within Mule workflows.

Stream model and agent outputs incrementally as they are generated. This enables responsive, real-time AI experiences without waiting for the complete response.

Ground foundation models and agents in your organization’s private data using Retrieval-Augmented Generation (RAG) to deliver more relevant, accurate, and contextual responses.

Build agents that execute multi-step tasks across enterprise systems and data sources. Amazon Bedrock AgentCore provides capabilities for deploying and operating agents, including runtime, memory, identity, and other services for production agentic applications.

Maintain context across agent interactions to deliver more personalized and continuous experiences. Memory enables agents to retain relevant information and use historical context in future interactions.

Apply configurable safeguards based on your application requirements and responsible AI policies to evaluate model inputs and responses.

Protect generative AI workloads using AWS security, identity, and encryption capabilities. Maintain control over your data and use AWS services such as AWS Identity and Access Management (IAM) and AWS Key Management Service (AWS KMS) to manage access and encryption.

Manages the complete lifecycle of AI agents, from design to deployment.

Streamlines design through Anypoint Design Center.

Provides centralized management and access via Exchange and Anypoint Experience Hub.

Enables detailed monitoring and visualization with Anypoint Monitoring and Visualizer.

Simplifies development with Anypoint Studio and Anypoint Code Builder.

Ensures thorough testing capabilities with MUnit, available in Anypoint Studio.

Allows for flexible and customizable setups.

Facilitates easy integration and management of various tools.