Calling AWS Bedrock from code

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Calling AWS Bedrock from code

Using Python in a Jupyter notebook

Thomas Reid

7 min readOct 2, 2023

Many of you will know that every man and his dog are producing AI products or LLM’s and integrating them with their products. Not surprisingly AWS — the biggest cloud services provider — is also getting in on the act.

What is bedrock?

Its AI offering is called Bedrock and the following blurb from it’s website describes what Bedrock is.

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon via a single API, along with a broad set of capabilities you need to build generative AI applications, simplifying development while maintaining privacy and security. With Amazon Bedrock’s comprehensive capabilities, you can easily experiment with a variety of top FMs, privately customize them with your data using techniques such as fine-tuning and retrieval augmented generation (RAG), and create managed agents that execute complex business tasks — from booking travel and processing insurance claims to creating ad campaigns and managing inventory — all without writing any code. Since Amazon Bedrock is serverless, you don’t have to manage any infrastructure, and you can securely integrate and deploy generative AI…

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