Get Snapshot Debug Info

This skill fetches the exception information, call stack, and variable values from an Application Insights Snapshot Debugger snapshot using the dataplane REST API directly.

Prerequisites

• The user must be logged in to Azure CLI (az login)
• The user must provide an Application Insights app ID (GUID) or resource ID

Steps

1–2. Check investigation notes and gather inputs

Follow the Standard Skill Preamble to check for existing investigation context and gather inputs.

3. List available snapshots and let the user pick one

Unless the user already has specific snapshot identifiers (stampId, snapshotId, snapshotTimestamp) that they want to inspect, start by listing recent snapshots so the user can pick one interactively.

Run the script in find-snapshots.md to:

1. Call the ingested artifacts endpoint to list recent snapshot dumps
2. Present the 10 most recent snapshots with timestamp, role name, and exception type
3. Let the user pick one

After the user selects a snapshot, resolve the snapshot identifiers:

• snapshotId: The artifactId from the selected artifact
• snapshotTimestamp: The triggerTime from the selected artifact
• stampId: Query exception telemetry for the ai.snapshot.stampid custom dimension matching the selected snapshot (see find-snapshots.md for the KQL query)

See snapshot-identifiers.md for the full format specification.

4–9. Fetch the debug info (combined pipeline)

For efficiency, use the combined pipeline script get-debug-info-pipeline.md which performs steps 4–9 in a single PowerShell block: token acquisition → metadata → trigger debug info computation → poll for completion → fetch debug info → fetch variables. This is the preferred approach — it reduces tool calls from 5–6 down to 1–2.

User communication: The debug info pipeline may take 1–2 minutes for snapshots being processed for the first time (triggering computation, polling for completion, fetching variables). Before starting the pipeline, inform the user that this is a multi-step process and they should expect to wait. Provide periodic status updates based on the script's output (e.g., "Computation triggered, polling for completion...", "Fetching variables for 5 stack frames..."). If the snapshot was previously analyzed, cached results return in seconds.

If you need finer control or want to debug individual steps, the granular scripts below remain available.

4. Acquire an access token

Run the script in get-access-token.md to acquire a Bearer token for the dataplane. See the token freshness and session scoping guidance in that document — re-acquire the token in the same command block as each API call. This is especially critical during the polling loop in step 7, which may run for over a minute.

5. Fetch the Redis cache region

Run the script in get-snapshot-metadata.md to call the snapshotDebuggerMetadata endpoint and extract the redisCacheRegion value.

6. Trigger debug info computation

Run the script in trigger-debug-info.md to POST to the debugInfo endpoint. This triggers the debug info computation using the stampId, snapshotId, snapshotTimestamp, and redisCacheRegion.

302 redirect handling: When the debug info results already exist, the POST returns a 302 redirect. The script disables auto-redirect (-MaximumRedirection 0) and manually follows the Location header with the Authorization header preserved. If you get the debug info back directly from the 302 path, you can skip step 7.

7. Poll for computation completion

If step 6 returned 202 (computation newly triggered), run the script in poll-debug-info-status.md to poll the debugInfoComputeStatus endpoint until the computation is complete. This must succeed before fetching the debug info.

8. Fetch the debug info result

Run the script in get-debug-info.md to call the debugInfo GET endpoint. This returns the exception information and call stack frames with variable indices.

9. Fetch variables

Run the script in get-variables.md to POST variable indices to the variables endpoint. This returns variable names, values, types, and child references for 2 levels of depth.

10. Present the debug info

Once the debug info and variables are loaded, present the result using the format described in present-debug-info.md.

Response format

See present-debug-info.md for how to interpret the debug info JSON and display the exception, call stack, and variables.

Troubleshooting

401 Unauthorized during polling (302 redirect)

The most common cause of 401 errors during the polling loop (step 7) is 302 redirect auth stripping. When the computation completes, the status endpoint returns a 302 redirect to the debug info result. PowerShell's Invoke-RestMethod automatically follows the redirect but strips the Authorization header, causing a 401 on the redirected URL.

The updated polling script in poll-debug-info-status.md handles this by using Invoke-WebRequest -MaximumRedirection 0 to detect the 302 as a completion signal without following it.

If you still see persistent 401s after the script update:

1. Verify the user is logged in: az account show
2. Re-authenticate: az login
3. Ensure the correct subscription is selected: az account set --subscription <subscription-id>
4. Try acquiring the token manually: az account get-access-token --resource "api://dataplane.diagnosticservices.azure.com"

Computation still "Running" after polling timeout

If the debugInfoComputeStatus endpoint still returns Running after the polling loop exhausts all attempts (default: 45 attempts / ~90 seconds):

1. Wait and retry — large snapshots take longer to process. Wait 30–60 seconds, then re-acquire a fresh token and try a direct GET on the debugInfo endpoint (step 8). If the computation completed in the background, the GET will return the result directly.
2. Try a different snapshot — if the snapshot is unusually large or corrupted, try a different snapshot from the same time window.
3. Re-trigger the computation — POST to the debugInfo endpoint again (step 6). If the computation completed, you'll get a 302 redirect to the cached result.

Computation returns "Failed"

If the debugInfoComputeStatus endpoint returns Failed:

1. Check the error details at the debugInfoComputeErrors endpoint.
2. Try a different snapshot — the snapshot data may be corrupted or incomplete.
3. Check the snapshot age — very old snapshots may have expired from storage.

Empty or missing variables

If stack frames have no variable indices, or variable fetching returns empty results:

1. Optimized code — the compiler may have optimized away local variables. This is common in Release builds.
2. Framework frames — .NET runtime frames typically don't include variable information.
3. Snapshot scope — only variables that were in scope at the time of the exception are captured.