generation-pipeline

Multi-pass document generation is orchestrated by sequentially fetching sources, compiling prompts, generating outlines, drafting content, and running quality checks. This pipeline enforces token budgets and handles streaming SSE output with graceful failure at every stage.

Running a multi-pass generation pipeline requires Anthropic API access, Brave Search API, Supabase database, source-grounding, and the skill-template-engine. These dependencies enable source fetching, prompt compilation, and document saving.

Token budget enforcement during streaming AI document generation restricts the total tokens processed across each multi-pass stage. The pipeline monitors these limits alongside streaming SSE output to ensure quality assertions succeed without exceeding model constraints.

Yes, you can automate source-grounded draft creation by using Supabase to save documents and the Anthropic API to generate content. The pipeline integrates source-grounding to fetch and compile contextual data before drafting.

When a quality assertion fails during multi-pass document generation, the pipeline executes graceful failure handling at that specific stage. This prevents corrupted drafts from saving to the Supabase database and halts the sequence safely.

Multi-pass generation is ideal for backend engineers implementing generation API routes or integrating new skill templates. It streamlines the sequence from source fetching to quality checking while managing token budgets and streaming output.