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feat(iace): LLM-gestuetzte Failure Mode Erkennung
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Browse Source 
POST /projects/:id/components/:cid/suggest-fms
- Baut FMEA-Experten-Prompt aus Komponentenname + Maschinenkontext
- LLM antwortet mit 5 FMs als JSON (Mode, Effect, S/O/D)
- Fallback auf Bibliotheks-FMs wenn LLM nicht verfuegbar
- Nutzt ProviderRegistry (Ollama primary, Anthropic fallback)

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
This commit is contained in:
Benjamin Admin
2026-05-12 09:52:16 +02:00
parent 6ce5b4bf41
commit 7d9f5a1f76
3 changed files with 144 additions and 0 deletions
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ai-compliance-sdk/internal/app/routes.go
+1
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@@ -394,6 +394,7 @@ func registerIACERoutes(v1 *gin.RouterGroup, h *handlers.IACEHandler) {
iaceRoutes.POST("/projects/:id/parse-narrative", h.ParseNarrative)
iaceRoutes.POST("/projects/:id/delta-analysis", h.DeltaAnalysis)
iaceRoutes.GET("/projects/:id/fmea/export", h.ExportFMEA)
iaceRoutes.POST("/projects/:id/components/:cid/suggest-fms", h.SuggestFailureModes)
iaceRoutes.POST("/projects/:id/apply-patterns", h.ApplyPatternResults)
iaceRoutes.POST("/projects/:id/hazards/:hid/suggest-measures", h.SuggestMeasuresForHazard)
iaceRoutes.POST("/projects/:id/mitigations/:mid/suggest-evidence", h.SuggestEvidenceForMitigation)