feat(PBI-67): model + mode-selectie per ClaudeJob-kind (#169)

* feat(PBI-67/ST-1297): datamodel-velden voor job-model-selectie

Voegt 8 nieuwe optionele velden toe verspreid over Product, Task en
ClaudeJob ten dienste van de override-cascade:

  task.requires_opus → job.requested_* → product.preferred_* → kind-default

Bestaande rijen krijgen NULL (Product/ClaudeJob) of false (Task) en
vallen daarmee terug op de kind-defaults uit de resolver (ST-1298).

Migration is additief: alleen ALTER TABLE ADD COLUMN, geen RENAME of
DROP. Bestaande factories en seed-script blijven werken zonder
aanpassing omdat alle nieuwe velden default-waardes hebben.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* feat(PBI-67/ST-1299): job-config snapshot bij enqueue + worker-flag-runbook

T-789: Snapshot van resolved JobConfig in ClaudeJob.requested_*
bij elke job-creatie. Helper in lib/job-config-snapshot.ts laadt
product (preferred_*) en task (requires_opus) en draait de resolver
uit lib/job-config.ts (mirror van scrum4me-mcp/src/lib/job-config.ts —
zelfde matrix, sync-comment in bestand). Toegepast op alle 5
enqueue-locaties:

  - actions/user-questions.ts          (PLAN_CHAT)
  - actions/sprint-runs.ts × 3         (SPRINT_IMPLEMENTATION x2,
                                        TASK_IMPLEMENTATION loop)
  - actions/ideas.ts                   (IDEA_GRILL / IDEA_MAKE_PLAN)

Test-mocks uitgebreid met product.findUnique en task.findUnique zodat
de helper bij unit tests veilig terugvalt op kind-defaults (alle 563
tests groen).

T-790: Sectie 'Config doorgeven aan Claude Code' toegevoegd aan
docs/runbooks/worker-idempotency.md met CLI-flag-mapping en de
verwachte aanroep per kind. Forward-link naar
docs/runbooks/job-model-selection.md (volgt in T-794).

Plus: docs/plans/job-model-selection.md (de approved plan-doc).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* feat(PBI-67/ST-1300): cost-attribution voor thinking-tokens + admin UI

T-792: token-stats + token-history rekenen actual_thinking_tokens nu
mee in de totale kosten (tegen input-rate, conform Anthropic billing).
COALESCE-veilig zodat oude rijen 0 bijdragen i.p.v. NaN. Nieuwe export
`getTokenStatsByKind` aggregeert tokens en kosten per ClaudeJob.kind
zodat we relatieve uitgaven van IDEA_GRILL/IDEA_MAKE_PLAN/PLAN_CHAT/
TASK_IMPLEMENTATION/SPRINT_IMPLEMENTATION kunnen zien.

T-793: admin/jobs Kosten-tabel toont:
  - Nieuwe kolom 'Thinking' (aantal verbruikte thinking-tokens)
  - Mismatch-marker (rood) als requested_model afwijkt van actuele
    model_id — duidt op een worker die de CLI-flag niet doorgaf.
    Tooltip toont aangevraagd model. Geen Sentry/log-noise.

Page-level cost-berekening volgt dezelfde formule (input_price ×
thinking_tokens). 563 tests groen.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* docs(PBI-67/ST-1301): runbook + CLAUDE.md updates voor model/mode-selectie

T-794: Nieuwe runbook docs/runbooks/job-model-selection.md met
override-cascade, kind-default-matrix, override-voorbeelden,
auditspoor en cost-attribution-formule. 107 regels.

T-795: CLAUDE.md hardstop-bullet voor 'Model/mode per ClaudeJob'
(verwijst naar nieuwe runbook) + patterns-quickref-rij voor
job-config resolver. CLAUDE.md blijft 139 regels (≤ 150).

T-796: docs:check-links groen — 108 files, geen broken links. Twee
externe-repo verwijzingen (scrum4me-mcp/...) ge-de-linked tot plain
text omdat de check-links script de zustertree niet traverseert; de
referenties blijven leesbaar.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
This commit is contained in:
Janpeter Visser 2026-05-08 11:20:10 +02:00 committed by GitHub
parent f233dd815e
commit 8c63ba377d
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18 changed files with 648 additions and 9 deletions

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@ -57,12 +57,13 @@ export async function getSprintTokenHistory(
sp.id AS sprint_id,
sp.code AS sprint_code,
sp.sprint_goal,
COALESCE(SUM(cj.input_tokens + cj.output_tokens + cj.cache_read_tokens + cj.cache_write_tokens), 0) AS total_tokens,
COALESCE(SUM(cj.input_tokens + cj.output_tokens + cj.cache_read_tokens + cj.cache_write_tokens + COALESCE(cj.actual_thinking_tokens, 0)), 0) AS total_tokens,
SUM(
cj.input_tokens * mp.input_price_per_1m / 1000000.0
+ cj.output_tokens * mp.output_price_per_1m / 1000000.0
+ cj.cache_read_tokens * mp.cache_read_price_per_1m / 1000000.0
+ cj.cache_write_tokens * mp.cache_write_price_per_1m / 1000000.0
+ COALESCE(cj.actual_thinking_tokens, 0) * mp.input_price_per_1m / 1000000.0
) FILTER (WHERE cj.input_tokens IS NOT NULL) AS total_cost,
COUNT(*) FILTER (WHERE cj.input_tokens IS NOT NULL) AS job_count
FROM claude_jobs cj
@ -82,12 +83,13 @@ export async function getSprintTokenHistory(
sp.id AS sprint_id,
sp.code AS sprint_code,
sp.sprint_goal,
COALESCE(SUM(cj.input_tokens + cj.output_tokens + cj.cache_read_tokens + cj.cache_write_tokens), 0) AS total_tokens,
COALESCE(SUM(cj.input_tokens + cj.output_tokens + cj.cache_read_tokens + cj.cache_write_tokens + COALESCE(cj.actual_thinking_tokens, 0)), 0) AS total_tokens,
SUM(
cj.input_tokens * mp.input_price_per_1m / 1000000.0
+ cj.output_tokens * mp.output_price_per_1m / 1000000.0
+ cj.cache_read_tokens * mp.cache_read_price_per_1m / 1000000.0
+ cj.cache_write_tokens * mp.cache_write_price_per_1m / 1000000.0
+ COALESCE(cj.actual_thinking_tokens, 0) * mp.input_price_per_1m / 1000000.0
) FILTER (WHERE cj.input_tokens IS NOT NULL) AS total_cost,
COUNT(*) FILTER (WHERE cj.input_tokens IS NOT NULL) AS job_count
FROM claude_jobs cj
@ -118,12 +120,13 @@ export async function getDayTokenData(userId: string, sprintId: string): Promise
const rows = await prisma.$queryRaw<RawDayRow[]>`
SELECT
DATE(cj.finished_at) AS day,
COALESCE(SUM(cj.input_tokens + cj.output_tokens + cj.cache_read_tokens + cj.cache_write_tokens), 0) AS total_tokens,
COALESCE(SUM(cj.input_tokens + cj.output_tokens + cj.cache_read_tokens + cj.cache_write_tokens + COALESCE(cj.actual_thinking_tokens, 0)), 0) AS total_tokens,
SUM(
cj.input_tokens * mp.input_price_per_1m / 1000000.0
+ cj.output_tokens * mp.output_price_per_1m / 1000000.0
+ cj.cache_read_tokens * mp.cache_read_price_per_1m / 1000000.0
+ cj.cache_write_tokens * mp.cache_write_price_per_1m / 1000000.0
+ COALESCE(cj.actual_thinking_tokens, 0) * mp.input_price_per_1m / 1000000.0
) FILTER (WHERE cj.input_tokens IS NOT NULL) AS total_cost
FROM claude_jobs cj
JOIN tasks t ON cj.task_id = t.id
@ -152,12 +155,13 @@ export async function getPbiTokenAggregates(userId: string, sprintId: string): P
p.id AS pbi_id,
p.code AS pbi_code,
p.title AS pbi_title,
COALESCE(SUM(cj.input_tokens + cj.output_tokens + cj.cache_read_tokens + cj.cache_write_tokens), 0) AS total_tokens,
COALESCE(SUM(cj.input_tokens + cj.output_tokens + cj.cache_read_tokens + cj.cache_write_tokens + COALESCE(cj.actual_thinking_tokens, 0)), 0) AS total_tokens,
SUM(
cj.input_tokens * mp.input_price_per_1m / 1000000.0
+ cj.output_tokens * mp.output_price_per_1m / 1000000.0
+ cj.cache_read_tokens * mp.cache_read_price_per_1m / 1000000.0
+ cj.cache_write_tokens * mp.cache_write_price_per_1m / 1000000.0
+ COALESCE(cj.actual_thinking_tokens, 0) * mp.input_price_per_1m / 1000000.0
) FILTER (WHERE cj.input_tokens IS NOT NULL) AS total_cost
FROM claude_jobs cj
JOIN tasks t ON cj.task_id = t.id