From 50357769f03c88a57ec31dca0da1e05fb7b9aeda Mon Sep 17 00:00:00 2001 From: hyeokjun32 Date: Wed, 17 Jun 2026 20:30:13 +0900 Subject: [PATCH] Document Runtime Intelligence sample handoff --- README.md | 6 ++++++ docs/ko/README.md | 6 ++++++ docs/portfolio_summary.md | 5 +++++ tests/test_runtime_intelligence_lab_handoff.py | 6 ++++++ 4 files changed, 23 insertions(+) diff --git a/README.md b/README.md index a32f12c..74151c2 100644 --- a/README.md +++ b/README.md @@ -457,6 +457,12 @@ artifact itself. The same block records that the declaration is validated downstream by AIGuard's `check-edgeenv-handoff-alignment` command and Lab's Runtime Intelligence bundle manifest gate. +For reviewer navigation, this handoff also names the upstream Orchestrator +curated samples that explain the path without making them EdgeEnv benchmark +outputs or deployment inputs: `agent_scheduler_delay_sample.json` can map to +AIGuard `scheduler_delay_pattern`, and `remote_fallback_recovery_sample.json` +can map to `remote_execution_recovered_by_fallback` before Lab renders the +corresponding report markers. The alignment block separately declares optional AIGuard evidence types `stale_frame_risk` and `edgeenv_orchestrator_stale_drop_summary` for newer sustained Orchestrator stale-drop context. They are optional so EdgeEnv can diff --git a/docs/ko/README.md b/docs/ko/README.md index d9ba5ac..5d62a88 100644 --- a/docs/ko/README.md +++ b/docs/ko/README.md @@ -187,6 +187,12 @@ mirror한다: `python -m inferedge_aiguard.cli build-runtime-intelligence-optional-stale-drop`. 이는 EdgeEnv handoff와 AIGuard source fixture를 추적 가능하게 할 뿐, EdgeEnv가 `guard_analysis`를 생성한다는 의미가 아니다. +reviewer navigation을 위해 이 handoff는 upstream Orchestrator curated sample +이름도 보존한다. `agent_scheduler_delay_sample.json`은 AIGuard +`scheduler_delay_pattern` 경로로, `remote_fallback_recovery_sample.json`은 +`remote_execution_recovered_by_fallback` 경로로 이어질 수 있다. 이 sample은 +EdgeEnv benchmark output이나 deployment input이 아니라 Lab report marker까지 +이어지는 cross-repo 추적 경로다. 아래 smoke는 EdgeEnv가 소유한 replay/regression/handoff 경로를 실제 CLI로 검증한다. diff --git a/docs/portfolio_summary.md b/docs/portfolio_summary.md index 377b8e4..ea9430b 100644 --- a/docs/portfolio_summary.md +++ b/docs/portfolio_summary.md @@ -62,6 +62,11 @@ It also mirrors AIGuard optional-present source traceability through `InferEdgeAIGuard/examples/runtime_intelligence/aiguard_runtime_operation_guard_analysis_optional_stale_drop.json` and `python -m inferedge_aiguard.cli build-runtime-intelligence-optional-stale-drop`, without making EdgeEnv produce the external `guard_analysis`. +For reviewer navigation, EdgeEnv also names the upstream Orchestrator curated +sample handoff path: `agent_scheduler_delay_sample.json` -> AIGuard +`scheduler_delay_pattern`, and `remote_fallback_recovery_sample.json` -> +`remote_execution_recovered_by_fallback`. These names are cross-repo +traceability hints, not EdgeEnv benchmark outputs or deployment inputs. `scripts/smoke_runtime_intelligence_replay_regression_handoff.sh` exercises the EdgeEnv-owned CLI path before source traceability handoff: local benchmark runs with runtime telemetry, telemetry history export/inspect, comparability-first diff --git a/tests/test_runtime_intelligence_lab_handoff.py b/tests/test_runtime_intelligence_lab_handoff.py index c39c464..dab8cca 100644 --- a/tests/test_runtime_intelligence_lab_handoff.py +++ b/tests/test_runtime_intelligence_lab_handoff.py @@ -285,6 +285,12 @@ def test_runtime_intelligence_docs_describe_lab_expected_report_markers(): "aiguard_runtime_operation_guard_analysis_optional_stale_drop.json" in doc ) + assert "agent_scheduler_delay_sample.json" in doc + assert "remote_fallback_recovery_sample.json" in doc + assert "scheduler_delay_pattern" in doc + assert "remote_execution_recovered_by_fallback" in doc + assert "EdgeEnv benchmark" in doc + assert "deployment input" in doc for marker in LAB_BUNDLE_EXPECTED_REPORT_MARKERS: assert marker in doc