tegwick ab23c5873e IB-WP-0016-T06: OpenRouter live-run guardrails
Add --chapter / --from-chapter / --to-chapter / --chunk selection flags
to generate init and generate from-source, plumb them into
init_generation_infospace via a new _filter_chunks_by_chapter helper,
and refuse to create an infospace when the filters reject every chunk
(InfospaceError "empty_chapter_selection"). The flags use the same
T03/T02 plumbing (chapter labels, roman numerals, chunk ids) so a
single-chapter selection is a one-flag command.

OpenRouter run-record metadata (model, request_id, usage tokens,
retry_count, duration_seconds) already lands in
output/workflows/runs/*.yaml; this task just adds the smoke test that
proves it stays there, plus the parallel guarantee that the same
provider metadata reaches generated artifact provenance via
provenance.provider_metadata.

tests/test_openrouter_live.py covers:
- chapter-filter, from/to-chapter range, and empty-selection failure on
  init (non-live, deterministic)
- CLI smoke through generate from-source with --chapter
- a pytest-skipped live OpenRouter one-chapter end-to-end gated by
  OPENROUTER_API_KEY + INFOSPACE_BENCH_ENABLE_LIVE_OPENROUTER, with
  INFOSPACE_BENCH_LIVE_MODEL override (default openai/gpt-4o-mini)

docs/generic-source-generator.md gains a "Live OpenRouter runs (handle
with care)" section that walks plan-before-run, single-chapter live
run, the budget/usage artifacts, and the checks a reviewer should run
before scaling to the full book.

129 tests pass, 1 skipped (the live smoke, correctly gated).

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-05-17 23:04:19 +02:00
2026-05-03 19:25:29 +02:00
2026-05-03 19:25:29 +02:00
2026-05-03 16:52:54 +00:00
2026-05-15 16:01:35 +02:00

infospace-bench

Workspace and service for creating, developing, evaluating, and inspecting structured knowledge spaces.

This repo is the application-layer successor for the infospace work that began inside markitect-main. It focuses on concrete infospaces and their lifecycle, while lower-level markdown tooling and runtime orchestration remain in sibling projects.

Start with:

  • INTENT.md
  • wiki/ProductRequirementsDocument.md
  • wiki/FunctionalRequirementsSpecification.md
  • SCOPE.md
  • docs/infospace-layout.md
  • docs/evaluation-and-inspection.md
  • docs/reference-pilot-decision.md
  • docs/markitect-main-scope-assessment.md
  • docs/markitect-tool-adapter.md
  • docs/entity-relation-model.md
  • docs/evaluation-history-and-metrics.md
  • docs/workflow-generation-pipeline.md
  • docs/kontextual-engine-boundary.md
  • docs/orthogonal-successor-roadmap.md
  • docs/legacy-infospace-feature-inventory.md
  • docs/successor-boundary-interface-map.md
  • docs/replacement-acceptance-matrix.md
  • docs/legacy-command-parity.md
  • docs/legacy-infospace-migration-guide.md
  • docs/replacement-readiness-decision.md
  • docs/wealth-vsm-generation-pipeline.md
  • docs/generic-source-generator.md
  • docs/agentic-memory-profile-pilot.md
  • docs/lefevre-epub3-validation.md
  • infospaces/bootstrap-pilot/
  • infospaces/wealth-vsm-legacy-slice/
  • infospaces/wealth-vsm-generation-pilot/
  • infospaces/agentic-memory-profile-pilot/
  • workplans/

Current development command:

python3 -m pytest
Description
Infospace project/workbench layer to create, develop, evaluate, and inspect concrete infospaces such as books, departments, projects, domains, or research corpora.
Readme MIT-0 1.4 MiB
Languages
Python 99.9%
Makefile 0.1%