--- schema_version: "1" id: 92187016346a72024af232d220d50654d50db83718795101f1fc2abf19b02136 title: Amazon Bedrock Connector 1.0 collection: mulesoft version: current locale: en-us portal_url: https://docs.salesforce.com/mulesoft/current/en-us/amazon-bedrock-connector/1.0/index.md canonical_url: https://docs.mulesoft.com/amazon-bedrock-connector/1.0/ source_site: docs.mulesoft.com content_type: documentation content_hash: 6cdc871e6dab381002e262f4753b52c6504b3603667766407e03d69c1668a87b description: MuleSoft Documentation Site release: "1.0" latest: false --- --- product: Amazon Bedrock Connector version: 1.0 --- # Amazon Bedrock Connector 1.0 > For the full documentation index, see: https://docs.mulesoft.com/llms.txt Anypoint Connector for Amazon Bedrock (Amazon Bedrock Connector) provides seamless access to Amazon Bedrock, a fully managed service offering high-performing foundation models (FMs) from leading AI providers. The connector enables customers to invoke, evaluate, and integrate Bedrock models and operations within Mule flows, supporting use cases such as prompt-based inference, Retrieval-Augmented Generation (RAG), and agent-driven, multi-step workflows over enterprise data. While each model provider exposes different APIs and capabilities, the connector abstracts these differences and offers a unified, consistent interface to interact with all supported Bedrock models through MuleSoft. For information about compatibility and fixed issues, see the Amazon Bedrock Connector release notes. ## Before You Begin To use this connector, you must be familiar with: - Anypoint Connectors - Mule runtime engine (Mule) - Elements and global elements in a Mule flow - How to create a Mule app using Anypoint Code Builder or Anypoint Studio - Amazon Web Services (AWS) and Amazon Bedrock Before creating an app, you must have: - Java 17 (required for compilation and runtime) - Apache Maven - An AWS account with access to Amazon Bedrock - Valid AWS credentials - Anypoint Platform - The latest versions of Anypoint Code Builder or Anypoint Studio ## Amazon Bedrock Connector Product Spotlight Video Watch the Amazon Bedrock Connector Product Spotlight video to see a quick overview of Amazon Bedrock Connector. ![](https://play.vidyard.com/ydFAiLCrZwrJyjWf2uoa2M.jpg) ## Supported Foundation Model Providers Amazon Bedrock Connector provides access to all foundation models supported by Amazon Bedrock, including models from Amazon and third-party AI providers, through a single, unified MuleSoft interface. Custom models aren’t supported. - AI21 Labs J2 - Amazon Nova - Amazon Titan - Anthropic Claude - Cohere - Meta Llama 2 - Meta Llama 3 - Mistral AI - Stability AI ## Key Features Amazon Bedrock Connector simplifies AI integration into Mule applications with: - **Seamless Interaction with LLMs and Agents** Integrate and utilize foundation models and agents effortlessly. Amazon Bedrock offers a choice of leading foundation models through a single API, allowing you to experiment with and evaluate top models for your use case. - **Optimized Performance in Mule Apps** Deliver high efficiency and performance in enterprise-grade Mule apps. Since Amazon Bedrock is serverless, you don’t have to manage any infrastructure, and you can securely integrate and deploy generative AI capabilities into your applications using AWS services. - **Access to a Wide Variety of LLM Providers** Connect to your preferred LLM provider through a unification layer. Amazon Bedrock Connector provides the ability to connect to all supported LLMs, simplifying how you interact with different model providers. ## Connector Capabilities Amazon Bedrock Connector provides a variety of powerful features: - **Language Models** Integrate language models to generate text, perform language analysis, and handle complex language tasks. - **Embeddings** Utilize embedding models to transform text into numerical vectors for tasks like text similarity, clustering, and search functionalities. - **Tools Integration** Incorporate APIs and other dynamic functionalities into MuleSoft, facilitating the use of external services and data processing tools. - **Image Models** Work with image models for tasks such as image generation, recognition, and manipulation. - **Streaming** Support real-time data processing and interaction with language models. ## Amazon Bedrock Service Features Amazon Bedrock offers advanced features that enhance generative AI application development: - **Knowledge Bases** Give foundation models and agents contextual information from your company’s private data sources for Retrieval Augmented Generation (RAG) to deliver more relevant, accurate, and customized responses. - **Agents** Enable generative AI applications to execute multistep tasks across company systems and data sources. Agents for Bedrock streamline workflows and automate repetitive tasks. - **Memory Retention** Agents for Amazon Bedrock can retain memory across interactions, offering more personalized and seamless user experiences. This feature allows agents to remember historical interactions and improve the accuracy of multi-step tasks. - **Guardrails** Implement safeguards customized to your application requirements and responsible AI policies. Guardrails for Amazon Bedrock evaluates user inputs and FM responses based on use case specific policies. - **Security and Privacy** Maintain full control over the data you use to customize foundation models. Your data is encrypted in transit and at rest, and you can create, manage, and control encryption keys using AWS Key Management Service (AWS KMS). Your data is not shared with model providers and is not used to improve the base models. ## Enhanced Capabilities via Anypoint Platform You can leverage Anypoint Platform to provide enhanced capabilities, including: - **End-to-End Lifecycle Management for AI Agents** Manages the complete lifecycle of AI agents, from design to deployment. - **Centralized AI Agent Design** Streamlines design through Anypoint Design Center. - **AI Agent Portal** Provides centralized management and access via Exchange and Anypoint Experience Hub. - **Comprehensive Monitoring** Enables detailed monitoring and visualization with Anypoint Monitoring and Visualizer. - **Low-Code Development Environment** Simplifies development with Anypoint Studio and Anypoint Code Builder. - **Robust Unit-Testing Framework** Ensures thorough testing capabilities with MUnit, available in Anypoint Studio. ## Additional Integrations Amazon Bedrock integrates seamlessly with the MuleSoft ecosystem: - **Dynamic Tooling through Configuration Files** Allows for flexible and customizable setups. - **Extensive Tooling through Anypoint Exchange** Facilitates easy integration and management of various tools. ## Next Step After you complete the prerequisites, you are ready to create an app and configure the connector using [Anypoint Studio](https://docs.mulesoft.com/amazon-bedrock-connector/1.0/amazon-bedrock-connector-studio) or [Anypoint Code Builder](https://docs.mulesoft.com/amazon-bedrock-connector/1.0/amazon-bedrock-connector-config-acb). ## See Also - [Introduction to Anypoint Connectors](https://docs.mulesoft.com/connectors/introduction/introduction-to-anypoint-connectors) - [Amazon Bedrock Connector Reference](https://docs.mulesoft.com/amazon-bedrock-connector/1.0/amazon-bedrock-connector-reference) - [Salesforce Help](https://help.salesforce.com)