Skip to content
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 2 additions & 0 deletions docs/portfolio/final_validation_completion.md
Original file line number Diff line number Diff line change
Expand Up @@ -15,6 +15,7 @@ InferEdge is complete for the current portfolio milestone when it can replay a l
- normal and problem demo evidence
- JSON/Markdown/HTML report artifacts
- Local Studio browser replay
- Runtime Intelligence operation risk rollup evidence routed through Orchestrator, EdgeEnv, optional AIGuard, and a Lab-owned risk summary
- full test suite passing

## Completed Evidence
Expand All @@ -32,6 +33,7 @@ InferEdge is complete for the current portfolio milestone when it can replay a l
| Normal demo case | done | `examples/validation_demo/subset/` |
| Problem demo cases | done | annotation missing, invalid structure, contract mismatch reports |
| Report formats | done | JSON, Markdown, HTML evaluation reports |
| Runtime Intelligence risk summary | done | Orchestrator `operation_risk_rollup` -> EdgeEnv handoff -> AIGuard deterministic evidence -> Lab deployment risk report |
| Tests | done | full `pytest` suite passing locally |

## Validated Numbers
Expand Down
2 changes: 2 additions & 0 deletions docs/portfolio/inferedge_pipeline_status.ko.md
Original file line number Diff line number Diff line change
Expand Up @@ -13,6 +13,7 @@
- EdgeEnv runtime telemetry/regression context ingestion.
- AIGuard deterministic runtime warning evidence preservation.
- Orchestrator queue/deadline/fallback context를 supplemental operation evidence로 표시.
- Runtime Intelligence operation risk rollup chain: Orchestrator operation risk/timeline context -> EdgeEnv handoff -> AIGuard deterministic evidence -> Lab Runtime Intelligence Risk Summary.

## 현재 evidence snapshot

Expand All @@ -22,6 +23,7 @@
| Jetson TensorRT FP16 25W demo | `10.066401 ms` mean, `15.548438 ms` p99, `99.340373 FPS` |
| Demo speedup | 약 `4.51x` |
| Jetson EdgeEnv preservation smoke | `device_local_starter`, `run-20260529-034704-fbf753f0`, `runtime_operation_summary` |
| Runtime Intelligence rollup chain | `operation_risk_rollup` -> EdgeEnv handoff -> AIGuard evidence -> Lab Risk Summary |

## 아직 구현하지 않았거나 명시적으로 제외한 것

Expand Down
3 changes: 3 additions & 0 deletions docs/portfolio/inferedge_pipeline_status.md
Original file line number Diff line number Diff line change
Expand Up @@ -119,6 +119,8 @@ The current cross-repository loop is covered by documentation, fixtures, and smo
- Local Studio portfolio demo evidence for ONNX Runtime CPU, TensorRT Jetson FP16 25W, Jetson FP16 15W power-mode evidence, and AIGuard diagnosis cases
- YOLOv8 COCO subset evaluation report generated from 10 local images and 89 converted COCO-style person annotations, with metric backend `simplified`, mAP@50 0.1410, precision 0.2941, recall 0.1685, and structural validation passed
- Validation problem case fixtures for annotation-missing review, invalid detection structure blocking, and contract shape mismatch blocking
- Runtime Intelligence evidence chain from Orchestrator operation context and `operation_risk_rollup`, through EdgeEnv telemetry/regression handoff, optional AIGuard deterministic runtime evidence, and Lab's Runtime Intelligence Risk Summary / deployment risk report
- Runtime Intelligence bundle gates for reviewer quick-scan markers, operation timeline evidence, task event rollup evidence, remote fallback starter evidence, and explicit Lab final decision ownership without changing existing JSON contracts

This means the current product boundary is testable without running the production worker infrastructure.

Expand Down Expand Up @@ -160,6 +162,7 @@ This does not mean production SaaS is complete.
- Problem-case validation reports that make skipped accuracy, invalid output structure, contract mismatch, and latency regression visible in Local Studio
- Cross-repo fixture compatibility across Forge, Runtime, Lab, and AIGuard
- Rule/evidence based AIGuard diagnosis, including normal/pass, bbox collapse/blocked, score saturation/blocked, temporal instability/review_required, and provenance mismatch cases
- Runtime Intelligence operation risk rollup chain with Orchestrator operation context, EdgeEnv handoff validation, AIGuard deterministic evidence preservation, and Lab-owned Risk Summary markers

### Planned Later

Expand Down
Loading