nvrx-attr

Attribution Skills

High-level orchestration layer over the nvidia_resiliency_ext.attribution modules. Each subdirectory is a self-contained skill with its own SKILL.md and helper scripts.

Skills

How skills relate to the library

src/nvidia_resiliency_ext/
├── attribution/
│   ├── log_analyzer/nvrx_logsage.py      ← log-analysis implementation
│   ├── trace_analyzer/fr_attribution.py  ← fr-analysis implementation
│   ├── analyzer/engine.py                ← combined orchestration entry point
│   └── combined_log_fr/                  ← optional log + FR fusion
└── skills/
    └── nvrx-attr/                        ← this skill bundle
        ├── log-analysis/
        ├── fr-analysis/
        └── fault-injection-loop/

The Analyzer (analyzer/engine.py) is the recommended entry point when you need request coalescing, result caching, or the combined LOG_AND_TRACE pipeline. Use the individual skills when you want to run one analysis type directly without the full coalescing stack.

Common prerequisites

• LLM_API_KEY environment variable, LLM_API_KEY_FILE, or ~/.llm_api_key
• langchain-openai installed
• logsage package installed (required by log_analysis)
• Package installed: pip install nvidia-resiliency-ext or pip install -e . from repo root
• The fault-injection loop has only been validated with Megatron-LM training scripts

Fault-Loop Local Setup

Before using fault-injection-loop/, create the local config file from the tracked template and fill in your site-specific values:

cp scripts/user.env.example scripts/user.env

The feedback-loop scripts require src/nvidia_resiliency_ext/skills/nvrx-attr/scripts/user.env to exist at runtime. Keep user.env local and untracked.