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Phase C1 (v1.4.15) — adds the v1.4.15 baseline scope-hardened prompt.
New file `src/lib/ai/prompts/insight-generator.ts` exports
`getStrictInsightsSystemPrompt(locale)` and a stable `PROMPT_VERSION`
tag (`4.15.0`) so future iterations ratchet the prompt without
breaking deterministic tests. The prompt's load-bearing instructions:
- Role: clinical-context summariser ONLY. Explicitly forbids
diagnosis, prescription and out-of-scope answers.
- Out-of-scope refusal pattern: when the snapshot is empty or off-
topic, the model returns a fixed JSON refusal payload (also
exported as `OUT_OF_SCOPE_REFUSAL_EN/DE` so tests can pin it
against the strict response schema).
- Zero-hallucination guard: every recommendation MUST cite a
specific snapshot field via `metricSource`; missing → omit.
- Citation cross-check: every recommendation's metricSource must
also appear in `citations[]` (enforced by the schema parser).
- Generic guideline targets only: ESH/ESC 2024 < 140/90 mmHg, AASM
≥ 7 h sleep, Saint-Maurice 2020 ≥ 8 000 steps; explicitly
forbids citing WHO as the source for a step number.
- Doctor-consult call-to-action required for every actionable
recommendation.
- JSON-only output, no markdown fences.
The prompt is NOT yet wired into `/api/insights/generate`. The route
continues to consume the rich legacy schema (`{summary, classification,
findings, correlations, dataQuality, ...}`) which the existing
`<InsightAdvisorCard />` and `<InsightsCard />` UIs render. The
integration step is scheduled for v1.4.16 alongside the UI migration —
see `docs/audit/v1416-ai-roadmap.md` (lands in the next commit of this
phase).
Tests: +18 (1005 → 1023 unit). Pin both locale variants for
diagnosis/prescription forbiddance, citation cross-check instruction,
ESH/ESC 140/90 generic guidance, doctor-consult CTA, fabricate-no-
measurements rule, and out-of-scope refusal pattern. The refusal
payloads are also fed through the wrapper to prove the model can
return them verbatim and the wrapper passes them through cleanly.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>