Question

A developer is building an internal document-review assistant that lets employees upload a PDF contract and ask questions about its contents in a single request. The team wants to use the Amazon Bedrock Converse API with an Anthropic Claude model. They need the raw document bytes to be passed directly to the model in the conversation turn without first extracting or embedding the text themselves. Which approach correctly implements this using the Converse API?

Accepted Answer

Include a document block in the user message's content array with the file format and raw bytes as a source, so the Converse API sends the document natively to the model.

Answer

Base64-encode the PDF and place it inside a plain text content block, then instruct the model in the system prompt to decode and read it.

Answer

Upload the PDF to an S3 bucket and pass only the S3 URI string in a text content block, relying on the model to fetch the object at inference time.

Answer

Convert the PDF to an image content block per page and send them, since the Converse API only accepts image inputs, not documents.