pipeline

End-to-end document processing is automated through a multi-phase pipeline that takes a source file from seed to archive. It applies deterministic orchestration across subagents to extract claims, process data, validate results, and capture learnings in one command.

Workflow resumability is supported through queue-based state management. If an orchestration pipeline fails mid-execution, you can resume the workflow from the last completed phase, ensuring deterministic execution without losing prior progress.

Queue-based state management is a mechanism that coordinates subagents deterministically across pipeline phases. It ensures source processing phases like seed, reduce, process, and archive execute in a controlled sequence with phase-by-phase progress reporting.

The pipeline workflow operates without external dependencies. You only need to provide a source file path to run the tool and execute the full software development lifecycle workflow from seeding to archiving.

Large-scale document extraction workflows are best orchestrated using a derivation manifest that drives domain-native vocabulary. This approach automates seeding, claims extraction, processing, validation, and archiving while maintaining deterministic phase execution.

A single-command pipeline for source processing is not suitable when you need granular manual intervention between the seed, reduce, process, and archive phases. It is designed for deterministic orchestration where automated end-to-end execution is required.