Scenario 1

Enhanced LRO poller metadata plus custom polling intervals and continuation tokens

Scenario 2

Batch document analysis over blob sources with list/get/delete batch operations

Scenario 3

Cross-resource copy flows using model/classifier copy authorizations and pollers

Scenario 4

Batch run continuation/pagination controls and result storage prefix/overwrite options

Scenario 5

Document model lifecycle: build, compose, get/list/delete, resource/operation inspection

Scenario 6

Direct pipeline access through send_request for custom authenticated HTTP calls

Scenario 7

Single document analysis with prebuilt/custom models via begin_analyze_document

Scenario 8

Document classification with classifier_id support for page-aware routing

Scenario 9

Document classifier lifecycle: build, get/list/delete, copy authorization and execution

Scenario 10

Retrieve analysis outputs as searchable PDFs or figure images and delete stored results