nemo-relay-debug-runtime-integration

작성자: nvidia

NeMo Relay가 설치되거나 임포트되었지만 애플리케이션 측 런타임 동작이 누락되거나 올바르지 않을 때 이 스킬을 사용하세요. 로드 실패, 비활성 상태 등을 포함합니다.

npx skills add https://github.com/nvidia/skills --skill nemo-relay-debug-runtime-integration

Debug Runtime Integration

Use this skill when NeMo Relay is present in the application but something is not working. Start by proving which runtime layer is failing before changing configuration.

First Checks

  • Can the binding or native artifact load?
  • Is there an active scope when the failing call runs?
  • Is the work happening on the expected scope stack?
  • Is the subscriber/exporter/plugin configuration actually active?
  • Did the app choose the right public API layer: managed execute vs manual lifecycle vs typed wrappers vs adaptive/plugins?

Common Failure Classes

  • Python native extension missing
  • Go dynamic library not on the loader path
  • Node native addon not built or not loading
  • Execute call outside a scope
  • Missing events because registration never happened
  • Concurrency causing the wrong scope stack to be active
  • Adaptive component never initialized or config validation ignored

Embedded Troubleshooting Matrix

  • Rust build failure: run the narrowest core build first, then expand to the affected binding or workspace command.
  • Python import failure: rebuild the virtual environment and native extension with uv sync, then run a small Python test or import check from the same environment as the application.
  • Node.js addon failure: reinstall and rebuild the native addon from the Node binding package before debugging application code.
  • Go loader failure: build the release FFI shared library and point both the linker and runtime loader at the release output directory; use the macOS dynamic-library path variable (DYLD_LIBRARY_PATH) on macOS.
  • Scope stack empty: the work is outside an active scope or crossed a thread, task, goroutine, or worker boundary without the intended stack.
  • Work leaks across requests: separate requests are sharing one scope stack; create a fresh stack per independent request or agent.
  • Middleware missing or ordered incorrectly: check global vs scope-local registration, active scope ancestry, names, and priority values.
  • Subscriber missing events: register before the events are emitted; for scope-local subscribers, ensure the current scope is the owner or descendant.
  • Event fields missing: managed helpers populate semantic fields; manual lifecycle calls require explicit params for input, output, model names, and tool call IDs.
  • ATIF empty or mixed: register before work starts, use one exporter per run or clear between runs, and separate concurrent agents by root scope.
  • Provider payload conversion failure: convert non-JSON provider objects, SDK handles, callbacks, streams, or class instances with explicit codecs.
  • Plugin validation failure: validate config independently from runtime registration and check required fields, value types, defaults, and config source.
  • Adaptive behavior unchanged: confirm instrumentation emits events, the adaptive component is enabled, policy allows the behavior, and the call path reaches the configured component.
  • OpenTelemetry or OpenInference export failure: first identify the Relay version. For 0.6, check the separate exporter, http_binary versus grpc, endpoint, headers, target support, and an active Tokio runtime for native gRPC. For 0.7, check the typed projection, endpoint, headers, TLS, and target support; the subscriber owns the native gRPC runtime.
  • Callback succeeded but no lifecycle events appear: confirm the integration uses managed execute helpers or balanced manual start/end APIs, not only the underlying business callback.

Related Skills

  • nemo-relay-get-started
  • nemo-relay-instrument-context-isolation
  • nemo-relay-plugin-adaptive-tuning
  • nemo-relay-plugin-build

nvidia의 다른 스킬

compileiq-debug
nvidia
무언가 잘못되었을 때 사용: Search()가 멈추거나, 모든 평가가 INVALID_SCORE를 반환하거나, 점수가 개선되지 않거나, 모든 설정이 동일한 숫자를 반환하거나, ptxas 오류 등이 발생할 때
create-github-pr
nvidia
gh CLI를 사용하여 GitHub 풀 리퀘스트를 생성합니다. 사용자가 새 PR을 만들거나, 코드 리뷰를 제출하거나, 풀 리퀘스트를 열고자 할 때 사용합니다. 트리거 키워드 -…
nemoclaw-maintainer-cross-issue-sweep
nvidia
다른 열린 이슈들을 스캔하여 주어진 PR이 함께 수정하거나 실수로 망가뜨릴 수 있는 이슈를 찾습니다. 인접 수정 기회와 모순 위험을 file:line…과 함께 출력합니다.
fhir-basics
nvidia
에이전트에게 FHIR R4 API의 작동 방식, 사용 가능한 리소스, 검색 매개변수를 사용한 쿼리 방법, 모든 응답 형식을 올바르게 파싱하는 방법을 가르칩니다…
compileiq-validate-result
nvidia
검색이 완료된 후, 속도 향상을 청구하거나 ACF를 발송하기 전에 사용합니다. dump_results CSV를 로드하고, 상위 K개 후보(단일 목표)를 추출합니다…
changelog-audit
nvidia
릴리스 전에 Warp CHANGELOG.md를 감사합니다: 누락된 항목 복구, 사용자 영향별 정렬, 항목 언어 다듬기, 줄 바꿈, (릴리스 브랜치 모드) 비교 업데이트…
maintain-dynamic-plugins
nvidia
NeMo Relay 동적 플러그인 로더, 매니페스트, Rust 네이티브 SDK, gRPC 워커 프로토콜, Python 워커 SDK, 문서, 테스트 및 릴리스 워크플로 커버리지를 유지 관리합니다.
dgx-diagnose
nvidia
일반적인 DGX Station GB300 문제 진단 — CUDA 충돌, 잘못된 GPU 타겟팅, vLLM/SGLang 컨테이너 버그, MIG 상태 문제, NVLink/Fabric Manager 오류,…