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3 Commits

Author SHA1 Message Date
2ff9263f9c Normalize agent instructions and workplan frontmatter (STATE-WP-0067)
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- Align agent files with on-disk workplan prefixes (infer from workplan ids)
- Set workplan domain to registered domain_slug; add topic_slug where applicable
- Repair frontmatter delimiter formatting; migrate legacy task status literals
- Regenerate AGENTS.md, CLAUDE.md, and .claude/rules from State Hub templates
2026-06-22 23:16:27 +02:00
c11c6afa3f Implement-LLM-WP-0005-cost-model-estimators
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2026-05-19 05:02:20 +02:00
0054afe689 plan: WP-0005 — cost model and problem-class token estimators
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Drafted workplan to move two consumer-side concerns into llm-connect:

- ModelRateRegistry: per-model USD-per-1k rates with provenance, a
  property of the base model, not the application.
- ProblemClass token estimators: generic shapes (chunk-summarization,
  entity-extraction, relation-extraction, judge-eval, report-synthesis)
  with base dimensions + tunable params; consumer supplies the shape
  of its problem and gets a TokenEstimate before any call.

Demand signal: the 2026-05-18 infospace-bench Lefevre Chapter-I smoke
ran 32 calls / 28k tokens / 0.009 USD actual against a planned 8.40
USD — the 1000x variance was entirely consumer-side because there is
no rate table in llm-connect to delegate to.

Three new modules (rates.py, costs.py, problem_classes.py), eight
tasks, registered as workstream 869196c5-551b-4eef-b8d8-cca6f770a9b0
under the custodian topic. A follow-on consumer workplan in
infospace-bench will migrate plan_generation_summary to delegate once
T01-T04 land here.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-05-19 04:30:52 +02:00