VectorVein Files

VectorVein workflows now preserve multi-sheet spreadsheet data, reject incomplete model batches, and generate validated report artifacts.

• Read all or selected Excel worksheets as text or structured JSON with source paths and row numbers; export named, typed worksheets with explicit column formats.
• Validate LLM outputs with JSON Schema, perform bounded repairs, and optionally reuse successful results per item. Failed batches stop downstream execution.
• Propagate Python errors, reject mismatched batch lengths, execute top-level code once, and preserve subworkflow retry state.
• Export structured DOCX reports and headless PNG charts using atomic file writes.
• Add Chinese/English editor controls and a neutral reproducible workflow example.
• Update frontend dependencies and security pins; the dependency audit passes.

Compatibility: Python nodes now stop on errors by default. Workflows that intentionally route error_msg should explicitly enable continue_on_error. Spreadsheet string cells remain literal data.

Validation includes 57 backend tests, lint, frontend audit/build, and a neutral end-to-end DAG that exercises schema repair, source-total verification, report exports and a second run with no new model request. The example uses a loopback-only deterministic model stub and does not evaluate model quality.

Workflow guide and reproduction steps

Implementation: [#109]. Release lint policy: [#111].