Ship a specialized profile for trading memoirs and market-structure texts. The profile names eight entity categories (trader, market, strategy, error, psychological_pattern, institution, instrument, evidence_bearing_claim), five relation types (cause_effect, lesson_evidence, risk_mitigation, actor_venue, strategy_outcome), and four evaluation criteria (groundedness, lesson_clarity, historical_context, overgeneralization_risk). Each is reflected in the prompts and contracts so the LLM is steered toward operator-level findings rather than biographical detail or moralising. The generic profile remains the default. A 2-chapter Lefevre smoke run with --profile trading-literature completes end-to-end with viable metrics; 93 tests pass. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
4.4 KiB
Generic Source Generator
Date: 2026-05-14
Purpose
infospace-bench generate turns a local article, ebook-like file, or folder of
knowledge sources into a manifest-backed infospace. It generalizes the
Wealth/VSM pilot into an explicit workflow path with deterministic fixture
support and an optional OpenRouter provider.
Deterministic Run
Use fixture responses for repeatable tests and demos:
infospace-bench generate from-source ./examples/article.md \
--workspace . \
--slug article-space \
--name "Article Space" \
--profile general-knowledge \
--fixture-responses ./examples/responses.yaml \
--apply
The command creates normalized source chunks, installs the selected profile,
runs the declared workflows, writes entities, relations, evaluations, metrics,
history, and a generation report, then registers artifacts in
artifacts/index.yaml.
Stepwise Workflow
infospace-bench generate init ./book.epub \
--workspace . \
--slug book-space \
--name "Book Space" \
--profile general-knowledge \
--max-chunks 3
infospace-bench generate plan ./infospaces/book-space --stage all
infospace-bench generate run ./infospaces/book-space \
--fixture-responses ./responses.yaml
infospace-bench generate status ./infospaces/book-space
--max-chunks caps early experiments and provider cost. generate status
shows chunk counts, generated artifact counts, evaluations, metrics, history,
and stale source/profile inputs.
Profiles
Two profiles ship today:
general-knowledge— durable concepts, claims, methods, people, places, works, and objects across any sourcetrading-literature— trading memoirs and market-structure texts; tunes entity categories (trader,market,strategy,error,psychological_pattern,institution,instrument,evidence_bearing_claim), relation types (cause_effect,lesson_evidence,risk_mitigation,actor_venue,strategy_outcome), and evaluation criteria (groundedness,lesson_clarity,historical_context,overgeneralization_risk)
Select via --profile trading-literature on generate init or
generate from-source. The generic profile remains the default.
Scale-aware plan
generate plan returns a compact estimate by default — counts of selected
chunks, calls per workflow, prompt-word and token estimates, and a rough
USD cost when --cost-per-1k is supplied. Long corpora no longer dump
hundreds of full prompts unless --full is set.
infospace-bench generate plan ./infospaces/book-space \
--from-chapter 1 --to-chapter 3 \
--cost-per-1k 0.30 \
--max-calls 50 \
--cost-cap 2.00
Selection filters:
--chapter LABEL(repeatable) — match a chapter by roman/arabic label or numeric value (e.g.--chapter Ior--chapter 2)--from-chapter N/--to-chapter N— numeric chapter range--chunk ID(repeatable) — exact source chunk id (e.g.chapter-01-part-002)
Budget flags --max-calls and --cost-cap are reported as
exceeds_max_calls / exceeds_cost_cap booleans in the summary, so a
caller can fail fast before invoking run. Use --full to opt back into
the full per-workflow plan with prompts for deep inspection.
OpenRouter
Live model calls are explicit:
export OPENROUTER_API_KEY=...
infospace-bench generate run ./infospaces/book-space \
--provider openrouter \
--model openai/gpt-4o-mini \
--stage all
Choose the --model value from OpenRouter model IDs. The API key is read from
OPENROUTER_API_KEY; it is not written to infospace.yaml. Default tests never
make live provider calls.
Resume
Use resume for interrupted or reviewed runs:
infospace-bench generate resume ./infospaces/book-space \
--provider openrouter \
--model openai/gpt-4o-mini
Unchanged completed runs are skipped. Use --force when you intentionally want
to rerun completed work. Stale status is reported when source artifact digests
or installed profile/template files change.
Review Path
After generation:
- inspect
artifacts/sources/for normalized input chunks - inspect
artifacts/entities/andartifacts/relations/for generated claims - inspect
output/evaluations/for rubric output - run
infospace-bench validate <root>andinfospace-bench graph <root> - review
reports/generation-summary.md
Move from the generic profile to a specialized profile when the source domain needs stricter terminology, narrower extraction granularity, or a discipline lens such as VSM.