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>
Replace generate plan's full-prompt dump with a compact summary that
reports selected-chunk counts, selected chapter numbers, per-workflow
call counts, prompt-word and token estimates, and a rough USD cost when
--cost-per-1k is supplied. Selection filters --chapter (label or number,
repeatable), --from-chapter / --to-chapter (numeric range), and --chunk
(repeatable id) shape the estimate. Budget caps --max-calls and
--cost-cap are reported as exceeds_* booleans so callers can fail fast
before run.
The old full per-workflow plan with prompts remains available behind
--full so deep inspection is opt-in instead of the default.
Whole-Lefevre estimate at default max_words=800: 146 chunks, 730 calls,
~518k prompt tokens, ~$155 at $0.30/1k. Chapters 3-5 only: 19 chunks,
95 calls, ~64k tokens. 87 tests pass.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
