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Alibabacloud Ecs Gpu Diagnosis

Diagnose Alibaba Cloud ECS GPU instances to detect GPU device status, driver issues, and hardware failures. Use this Skill when users report GPU instance ano...

personAuthor: sdk-teamhubclawhub

Usage Instructions

Initiate diagnosis on a specified ECS GPU instance to detect GPU device status and output diagnosis results.

Execution Constraints

  • All steps MUST be executed in order; skipping steps is NOT permitted
  • Each step MUST be verified as successful before proceeding to the next
  • Inform the user of the current step being executed
  • If any step fails, user confirmation MUST be obtained before continuing

Prerequisites

  1. Check Alibaba Cloud CLI Environment

    • Execute which aliyun or aliyun --version to check if CLI is installed
    • If not installed, inform the user that Alibaba Cloud CLI needs to be installed and provide installation guidance from references/cli-installation.md:
      • macOS: Homebrew installation or manual installation (Intel/Apple Silicon)
      • Linux: Download installation package for corresponding architecture (x86_64/ARM64)
      • Windows: Download installation package and configure PATH, or use PowerShell installation
    • After installation, run aliyun version to confirm version >= 3.0.299
    • Confirm CLI is configured with AccessKey: aliyun configure
    • Permission Reminder: Remind the user that the current RAM user needs the permissions to execute GPU diagnosis from references/ram-policies.md :
  2. Obtain Required Parameters

    • Check if INSTANCE_ID is provided (ECS instance ID, format MUST match this regular expression ^i-[a-z0-9]{20}$ )
    • Check if REGION_ID is provided (region ID, like cn-shanghai)
    • If either parameter is missing, ask the user:
      • "Please provide the ECS instance ID to diagnose (format: i-bp1xxxxx)"
      • "Please provide the region ID where the instance is located (e.g., cn-shanghai, cn-hangzhou)"
  3. Validate Parameters

    • Validate INSTANCE_ID format: Check if INSTANCE_ID matches the regex pattern ^i-[a-z0-9]{20}$
      • If validation fails, inform the user: "Invalid instance ID format. Instance ID must match the pattern ^i-[a-z0-9]{20}$"
    • Validate REGION_ID: Query available regions using DescribeRegions API to verify the region is valid:
      aliyun ecs DescribeRegions --user-agent AlibabaCloud-Agent-Skills
      
      • Extract the Regions.Region[].RegionId list from the response
      • Check if the provided REGION_ID exists in the list
      • If region is invalid, inform the user: "Invalid region ID. Please provide a valid region ID from the available regions list."
  4. Check Instance Operating System Type

    • Before creating a diagnosis report, query instance information to confirm the OS type:
      aliyun ecs DescribeInstances  --user-agent AlibabaCloud-Agent-Skills --RegionId ${REGION_ID} --InstanceIds '["${INSTANCE_ID}"]'
      
    • Extract the Instances.Instance[0].OSType field from the response
    • If OSType is "linux": Continue with the subsequent diagnosis process
    • If OSType is not "linux": Notify the user and terminate the process:
      The current instance ${INSTANCE_ID} has operating system ${OSType}.
      This Skill currently only supports Linux operating system instances, other operating systems are not supported.
      No further diagnosis process is needed.
      

Execute Diagnosis

  1. Create Diagnostic Report

    Use the following command to initiate GPU diagnosis:

    aliyun ecs CreateDiagnosticReport \
      --user-agent AlibabaCloud-Agent-Skills \
      --RegionId '${REGION_ID}' \
      --ResourceId '${INSTANCE_ID}' \
      --MetricSetId 'dms-instanceGPUdevice' \
      --output cols=ReportId
    

    Extract ReportId from the output and save it for subsequent queries.

  2. Poll Diagnostic Results

    Use the following command to query the diagnosis report status:

    aliyun ecs DescribeDiagnosticReports \
      --user-agent AlibabaCloud-Agent-Skills \
      --RegionId '${REGION_ID}' \
      --ReportIds.1 '${REPORT_ID}'
    

    Handle based on the returned Status field:

    • Status = "Finished": Diagnosis complete, parse the Issues field content
      • If Issues is empty or does not exist, report "GPU diagnosis normal, no anomalies detected"
      • If Issues contains content, extract each Issue's IssueId, MetricId, Severity, and MetricCategory, and output diagnosis results and recommended actions according to the IssueId mapping table below
    • Status = "InProgress": Diagnosis in progress, wait 5 seconds before querying again
    • Status = "Failed": Diagnosis failed, report the failure status to the user

    Set timeout mechanism: poll up to 60 times (approximately 5 minutes), if still not complete, prompt the user to query manually later.

Output Description

After diagnosis is complete, the output should include:

  • Instance ID and region
  • Diagnostic report ID
  • GPU device status summary
  • Discovered Issues (if any)
  • Recommended remediation measures (inferred from Issues content)

Diagnostic Result Analysis

The Issues returned in the diagnosis report is an array, where each Issue contains IssueId, MetricId, Severity, and MetricCategory fields. Output diagnosis description and handling measures according to the IssueId mapping table below:

| IssueId | Diagnostic Description | Exception Handling Measures | |---------|------------------------|----------------------------| | GuestOS.GPU.MemoryEccCheckError | Detect GPU Double Bit Error conditions | Prompt user to restart instance based on error count | | GuestOS.GPU.InfoRomCorrupted | Detect GPU infoROM firmware information | O&M notification will be sent to user | | GuestOS.GPU.DriverVersionMismatch | Detect driver anomalies caused by Kernel upgrades | User needs to uninstall and reinstall driver | | GuestOS.GPU.FabricmanagerCheck | Detect Fabricmanager component running status | User needs to install or start Fabricmanager component service | | GuestOS.GPU.PowerCableError | Detect GPU power cable and power supply status | O&M notification will be sent to user | | GuestOS.GPU.DeviceLost | Detect GPU card loss conditions | O&M notification will be sent to user | | GuestOS.GPU.DriverNotInstalled | Detect GPU driver installation status | User needs to install driver | | GuestOS.GPU.NVXidError | Detect GPU Xid error anomalies | Prompt user to restart instance based on different XID errors | | GuestOS.GPU.RmInitAdapterError | Detect GPU card initialization anomalies, manifested as driver card loss | O&M notification will be sent to user | | GuestOS.GPU.NVLinkError | Check GPU NVlink status | O&M notification will be sent to user |

Output Format Example:

Diagnosis Complete! Instance: i-bp1xxxxxxxxx (cn-shanghai)
Report ID: dr-xxxxxxxx

1 anomaly found:

[1] GuestOS.GPU.DriverNotInstalled
    Severity: Warn
    Diagnostic Description: Detect GPU driver installation status
    Handling Measures: User needs to install driver

Diagnostic Recommendations:
- Please install the corresponding version of NVIDIA GPU driver
- Installation Guide: https://help.aliyun.com/document_detail/108460.html

Special Reminder: When the exception handling measure is "O&M notification will be sent to user", append the following reminder to the output:

⚠️ Important Reminder:
- Alibaba Cloud will send you O&M event notifications
- Please go to the ECS console to view event details
- Pay attention to whether you receive O&M events and handle them as required

If Issues is an empty array or does not exist, output:

Diagnosis Complete! Instance: i-bp1xxxxxxxxx (cn-shanghai)
Report ID: dr-xxxxxxxx

GPU diagnosis normal, no anomalies detected.

Edge Case Handling

  • Instance does not exist: CLI will return an error, capture and inform the user that the instance ID may be incorrect
  • Region error: Prompt user to confirm the region where the instance is located
  • Non-GPU specification: If the instance is not a GPU specification, diagnosis may have no results, prompt user to confirm instance type
  • Insufficient permissions: If permission error is returned, prompt user to check AccessKey permissions
  • Network timeout: Set command execution timeout (recommended 30 seconds), retry after timeout or prompt user to check network

Example Workflow

User: Help me diagnose this GPU server i-bp1xxxxxxxxx

Agent:
1. Check CLI is installed
2. Ask for region (user did not provide)
3. User replies: cn-shanghai
4. Check instance OS type is Linux
5. Execute CreateDiagnosticReport, get ReportId: dr-xxxxxxxx
6. Poll DescribeDiagnosticReports
7. Status=InProgress, wait 5 seconds...
8. Query again, Status=Finished
9. Output Issues content to user