feat(fault-injection): Add GPU fault injector agent

tests/fault_tolerance/hardware/fault-injection-service/agents/gpu-fault-injector/Dockerfile

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+# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+#
+# SPDX-License-Identifier: Apache-2.0
+#
+# GPU Fault Injector Agent - XID 79 Injection via nsenter+kmsg
+# Runs as privileged DaemonSet on GPU nodes to inject XID errors
+#
+# NOTE: GPU nodes are AMD64/x86_64 architecture
+# Build with: docker buildx build --platform linux/amd64 --load -t <image> .
+
+FROM nvcr.io/nvidia/cuda:12.3.0-devel-ubuntu22.04
+
+# Install system dependencies (nsenter, nvidia-smi, journalctl)
+RUN DEBIAN_FRONTEND=noninteractive apt-get update && apt-get install -y --no-install-recommends \
+    python3 \
+    python3-pip \
+    curl \
+    util-linux \
+    systemd \
+    kmod \
+    pciutils \
+    && rm -rf /var/lib/apt/lists/*
+
+# Install Python packages
+COPY requirements.txt /tmp/
+RUN pip3 install --no-cache-dir -r /tmp/requirements.txt
+
+# Create working directory
+WORKDIR /app
+
+# Copy agent code
+COPY agent.py /app/
+COPY gpu_xid_injector.py /app/
+
+# Create log directory
+RUN mkdir -p /var/log/gpu-fault-injector
+
+# Set environment
+ENV PYTHONUNBUFFERED=1
+
+# Expose port
+EXPOSE 8083
+
+# Health check
+HEALTHCHECK --interval=30s --timeout=5s --start-period=30s --retries=3 \
+    CMD curl -f http://localhost:8083/health || exit 1
+
+# Run agent
+CMD ["python3", "agent.py"]

tests/fault_tolerance/hardware/fault-injection-service/agents/gpu-fault-injector/agent.py

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+# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+#
+# SPDX-License-Identifier: Apache-2.0
+#
+"""
+GPU Fault Injector Agent - Runs as DaemonSet on GPU nodes.
+
+This agent provides privileged access for XID error injection:
+- XID injection via nsenter+kmsg (writes to host's /dev/kmsg)
+- Triggers NVSentinel syslog-health-monitor detection
+- Initiates complete fault tolerance workflow
+
+Accepts ANY XID error code for testing flexibility.
+Pre-defined messages for all DCGM/NVSentinel monitored XIDs:
+- Devastating: 79, 74, 48, 94, 95, 119, 120, 140
+- Memory: 31, 32, 43, 63, 64
+- PCIe: 38, 39, 42
+- Thermal: 60, 61, 62
+- Power: 54, 56, 57
+- Graphics: 13, 45, 69
+
+Unknown XIDs use generic error message format.
+NVSentinel detects XIDs and handles actions based on its own rules.
+See gpu_xid_injector.py for complete XID descriptions.
+"""
+
+import logging
+import os
+import subprocess
+from datetime import datetime, timezone
+from typing import Any, Optional, Type
+
+import uvicorn
+from fastapi import FastAPI, HTTPException
+from pydantic import BaseModel
+
+# Configure logging
+logging.basicConfig(
+    level=logging.INFO, format="%(asctime)s - %(name)s - %(levelname)s - %(message)s"
+)
+logger = logging.getLogger(__name__)
+
+# Import kernel-level XID injector (for XID 79 via nsenter+kmsg)
+GPUXIDInjectorKernel: Optional[Type[Any]] = None
+try:
+    from gpu_xid_injector import GPUXIDInjectorKernel  # type: ignore[assignment]
+
+    KERNEL_XID_AVAILABLE = True
+except ImportError:
+    logger.warning("Kernel-level XID injector not available")
+    KERNEL_XID_AVAILABLE = False
+
+
+# ============================================================================
+# Models and Enums
+# ============================================================================
+
+
+class XIDInjectRequest(BaseModel):
+    """Request model for XID error injection via nsenter+kmsg"""
+
+    fault_id: str
+    xid_type: int
+    gpu_id: int = 0
+    duration: Optional[int] = None
+
+
+# ============================================================================
+# GPU Fault Injector
+# ============================================================================
+
+
+class GPUFaultInjector:
+    """
+    GPU fault injection operations with DCGM integration.
+
+    Supports ANY XID injection via nsenter+kmsg (27+ pre-defined messages).
+    Accepts any XID value (1-1000) for comprehensive fault tolerance testing.
+    """
+
+    def __init__(self):
+        self.active_faults: dict[str, dict[str, Any]] = {}
+        self.node_name = os.getenv("NODE_NAME", "unknown")
+        self.dcgm_available = self._check_dcgm()
+        self.gpu_count = self._get_gpu_count()
+
+        # Initialize kernel-level XID injector (XID 79 via nsenter+kmsg)
+        self.kernel_xid_injector = None
+        self.kernel_xid_available = False
+        if KERNEL_XID_AVAILABLE and GPUXIDInjectorKernel is not None:
+            try:
+                self.kernel_xid_injector = GPUXIDInjectorKernel()
+                self.kernel_xid_available = self.kernel_xid_injector.privileged
+                logger.info(
+                    f"Kernel-level XID injector initialized (privileged: {self.kernel_xid_available})"
+                )
+            except Exception as e:
+                logger.warning(f"Kernel XID injector not available: {e}")
+
+        logger.info(f"GPU Fault Injector initialized on node: {self.node_name}")
+        logger.info(f"DCGM available: {self.dcgm_available}")
+        logger.info(f"GPU count: {self.gpu_count}")
+        logger.info(f"XID 79 injection (nsenter+kmsg): {self.kernel_xid_available}")
+
+    def _check_dcgm(self) -> bool:
+        """Check if DCGM is available"""
+        try:
+            result = subprocess.run(
+                ["dcgmi", "discovery", "-l"], capture_output=True, text=True, timeout=5
+            )
+            return result.returncode == 0
+        except Exception as e:
+            logger.warning(f"DCGM not available: {e}")
+            return False
+
+    def _get_gpu_count(self) -> int:
+        """Get number of GPUs on this node"""
+        try:
+            result = subprocess.run(
+                ["nvidia-smi", "--query-gpu=count", "--format=csv,noheader"],
+                capture_output=True,
+                text=True,
+                timeout=5,
+            )
+            if result.returncode == 0:
+                return int(result.stdout.strip().split("\n")[0])
+            return 0
+        except Exception as e:
+            logger.error(f"Failed to get GPU count: {e}")
+            return 0
+
+    def _run_command(self, command: list[str], timeout: int = 30) -> tuple[bool, str]:
+        """Run shell command with timeout"""
+        try:
+            result = subprocess.run(
+                command, capture_output=True, text=True, timeout=timeout
+            )
+            success = result.returncode == 0
+            output = result.stdout if success else result.stderr
+            return success, output.strip()
+        except subprocess.TimeoutExpired:
+            return False, "Command timed out"
+        except Exception as e:
+            return False, str(e)
+
+
+# ============================================================================
+# FastAPI Application
+# ============================================================================
+
+app = FastAPI(title="GPU Fault Injector Agent", version="1.0.0")
+injector = GPUFaultInjector()
+
+
+@app.get("/health")
+async def health_check():
+    """Health check endpoint"""
+    return {
+        "status": "healthy",
+        "node": injector.node_name,
+        "gpu_count": injector.gpu_count,
+        "dcgm_available": injector.dcgm_available,
+        "active_faults": len(injector.active_faults),
+    }
+
+
+@app.post("/inject-xid")
+async def inject_xid(request: XIDInjectRequest):
+    """
+    Inject ANY XID error via nsenter+kmsg (triggers NVSentinel detection).
+
+    Accepts any XID error code (1-1000) for maximum testing flexibility.
+
+    Pre-defined messages for all DCGM/NVSentinel monitored XIDs:
+
+    Devastating (always FAIL):
+    - 79: GPU fell off bus | 74: NVLink error | 48: ECC DBE | 94/95: ECC errors
+    - 119/120: GSP errors | 140: ECC unrecovered
+
+    Subsystem (may WARN/escalate):
+    - Memory: 31, 32, 43, 63, 64 (MMU, PBDMA, page retirement)
+    - PCIe: 38, 39, 42 (bus, fabric, replay rate)
+    - Thermal: 60, 61, 62 (temperature limits)
+    - Power: 54, 56, 57 (power/clock state)
+    - Graphics: 13, 45, 69 (SM exceptions)
+
+    Unknown XIDs use generic error message - NVSentinel will parse and handle
+    based on its own XID database.
+    """
+    logger.info(
+        f"Received XID {request.xid_type} injection request for GPU {request.gpu_id}"
+    )
+
+    # Validate XID type is a reasonable integer (basic sanity check)
+    if (
+        not isinstance(request.xid_type, int)
+        or request.xid_type < 1
+        or request.xid_type > 1000
+    ):
+        raise HTTPException(
+            status_code=400,
+            detail=(
+                f"Invalid XID type: {request.xid_type}. "
+                f"XID must be an integer between 1-1000. "
+                f"Common XIDs: 79 (bus error), 74 (NVLink), 48/94/95 (ECC errors)."
+            ),
+        )
+
+    if not injector.kernel_xid_available or not injector.kernel_xid_injector:
+        raise HTTPException(
+            status_code=503,
+            detail=f"Kernel-level XID injector not available. XID {request.xid_type} requires privileged access to syslog/kmsg.",
+        )
+
+    # Use the generic inject_xid method which supports multiple XID types
+    success, message = injector.kernel_xid_injector.inject_xid(
+        xid_type=request.xid_type, gpu_id=request.gpu_id
+    )
+
+    if not success:
+        raise HTTPException(status_code=500, detail=message)
+
+    # Track the fault
+    injector.active_faults[request.fault_id] = {
+        "type": f"xid_{request.xid_type}",
+        "gpu_id": request.gpu_id,
+        "timestamp": datetime.now(timezone.utc).isoformat(),
+    }
+
+    return {
+        "status": "injected",
+        "node": injector.node_name,
+        "fault_id": request.fault_id,
+        "xid_type": request.xid_type,
+        "gpu_id": request.gpu_id,
+        "message": message,
+        "timestamp": datetime.now(timezone.utc).isoformat(),
+    }
+
+
+@app.get("/faults")
+async def list_active_faults():
+    """List active faults on this node"""
+    return {
+        "node": injector.node_name,
+        "active_faults": list(injector.active_faults.keys()),
+        "count": len(injector.active_faults),
+    }
+
+
+if __name__ == "__main__":
+    uvicorn.run(
+        app,
+        host="0.0.0.0",
+        port=8083,
+        log_level="info",
+    )