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adobe-advanced-troubleshooting Apply advanced debugging techniques for Adobe API issues: IMS token
introspection, Firefly job failure analysis, PDF Services error
codes, and network-layer diagnostics for Adobe endpoints.
Trigger with phrases like "adobe hard bug", "adobe mystery error",
"adobe impossible to debug", "difficult adobe issue", "adobe deep debug".
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Descargar Zip Descargando... Más de este repositorio Implement user sign-up and sign-in flows with Clerk.
Use when building authentication UI, customizing sign-in experience,
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Trigger with phrases like "clerk sign-in", "clerk sign-up",
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Implement session management and middleware with Clerk.
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Trigger with phrases like "clerk session", "clerk middleware",
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name adobe-advanced-troubleshooting description Apply advanced debugging techniques for Adobe API issues: IMS token
introspection, Firefly job failure analysis, PDF Services error
codes, and network-layer diagnostics for Adobe endpoints.
Trigger with phrases like "adobe hard bug", "adobe mystery error",
"adobe impossible to debug", "difficult adobe issue", "adobe deep debug".
allowed-tools Read, Grep, Bash(kubectl:*), Bash(curl:*), Bash(tcpdump:*) version 1.6.0 license MIT author Jeremy Longshore <jeremy@intentsolutions.io> tags ["saas","design","adobe"] compatibility Designed for Claude Code
Adobe Advanced Troubleshooting
Overview
Deep debugging techniques for complex Adobe API issues that resist standard troubleshooting: IMS token problems, Firefly async job failures, PDF Services edge cases, and network-layer diagnostics.
Prerequisites
Access to production logs and metrics
curl with verbose mode for HTTP debuggingUnderstanding of OAuth 2.0 token flows
Network capture tools (tcpdump, openssl s_client)
Instructions
Technique 1: IMS Token Introspection
When auth issues occur, decode the access token to check claims:
TOKEN=$(curl -s -X POST 'https://ims-na1.adobelogin.com/ims/token/v3' \
-d "client_id=${ADOBE_CLIENT_ID} &client_secret=${ADOBE_CLIENT_SECRET} &grant_type=client_credentials&scope=${ADOBE_SCOPES} " | jq -r '.access_token' )
echo "$TOKEN " | cut -d. -f2 | tr '_-' '/+' | base64 -d 2>/dev/null | python3 -m json.tool
Technique 2: Verbose HTTP Request Tracing
curl -v -X POST 'https://firefly-api.adobe.io/v3/images/generate' \
-H "Authorization: Bearer ${TOKEN} " \
-H "x-api-key: ${ADOBE_CLIENT_ID} " \
-H "Content-Type: application/json" \
-d '{"prompt":"test","n":1,"size":{"width":512,"height":512}}'
tee
Technique 3: Firefly Async Job Failure Analysis
async function diagnoseFireflyJob (jobId : string , statusUrl : string const token = await getAccessToken ();
const response = await fetch (statusUrl, {
headers : {
'Authorization' : `Bearer ${token} ` ,
'x-api-key' : process.env .ADOBE_CLIENT_ID !,
},
});
const status = await response.json ();
console .log ('=== Firefly Job Diagnosis ===' );
console .log ('Job ID:' , jobId);
console .log ('Status:' , status.status );
if (status.status === 'failed' ) {
console .log ('Error code:' , status.error ?.code );
console .log ('Error message:' , status.error ?.message );
console .log ('Error details:' , JSON .stringify (status.error ?.details , null , 2 ));
}
console .log ('Response headers:' , Object .fromEntries (response.headers .entries ()));
}
Technique 4: PDF Services Error Code Mapping
const PDF_ERROR_MAP : Record <string , { cause : string ; action : string ; retryable : boolean }> = {
'DISQUALIFIED' : { cause : 'File is encrypted/password-protected' , action : 'Decrypt PDF first' , retryable : false },
'BAD_PDF' : { cause : 'Corrupted or invalid PDF' , action : 'Validate with pdfinfo/pdftk' , retryable : false },
'BAD_PDF_CONTENT' : { cause : 'PDF content is malformed' , action : 'Re-export from source' , retryable : false },
'UNSUPPORTED_MEDIA_TYPE' : { cause : 'Wrong file format for operation' , action : 'Check MimeType matches file' , retryable : false },
'FILE_SIZE_EXCEEDED' : { cause : 'File exceeds size limit' , action : 'Compress or split PDF' , retryable : false },
'PAGE_LIMIT_EXCEEDED' : { cause : 'Too many pages for operation' , action : 'Split into smaller PDFs' , retryable : false },
'QUOTA_EXCEEDED' : { cause : 'Monthly transaction limit hit' , action : 'Upgrade plan or wait for reset' , retryable : false },
'INTERNAL_ERROR' : { cause : 'Adobe server error' , action : 'Retry with backoff' , retryable : true },
'TIMEOUT' : { cause : 'Processing timeout' , action : 'Try smaller file or fewer pages' , retryable : true },
};
export function diagnosePdfError (errorCode : string string {
const info = PDF_ERROR_MAP [errorCode];
if (!info) return `Unknown PDF Services error: ${errorCode} ` ;
return `${errorCode} : ${info.cause} \nAction: ${info.action} \nRetryable: ${info.retryable} ` ;
}
Technique 5: Layer-by-Layer Isolation #!/bin/bash
echo "=== Layer 1: DNS Resolution ==="
nslookup ims-na1.adobelogin.com
nslookup firefly-api.adobe.io
nslookup image.adobe.io
echo ""
echo "=== Layer 2: TCP Connectivity ==="
for host in ims-na1.adobelogin.com firefly-api.adobe.io image.adobe.io; do
timeout 5 bash -c "echo > /dev/tcp/$host /443" 2>/dev/null && echo "$host :443 OPEN" || echo "$host :443 BLOCKED"
done
echo ""
echo "=== Layer 3: TLS Handshake ==="
for host in ims-na1.adobelogin.com firefly-api.adobe.io; do
echo | openssl s_client -connect "$host :443" -servername "$host " 2>/dev/null | grep -E "subject|issuer|Verify return"
done
echo ""
echo "=== Layer 4: IMS Authentication ==="
HTTP_CODE=$(curl -s -o /dev/null -w "%{http_code}" -X POST \
'https://ims-na1.adobelogin.com/ims/token/v3' \
-d "client_id=${ADOBE_CLIENT_ID} &client_secret=${ADOBE_CLIENT_SECRET} &grant_type=client_credentials&scope=${ADOBE_SCOPES} " )
echo "IMS Token: HTTP $HTTP_CODE "
echo ""
echo "=== Layer 5: API Endpoint ==="
if [ "$HTTP_CODE " = "200" ]; then
TOKEN=$(curl -s -X POST 'https://ims-na1.adobelogin.com/ims/token/v3' \
-d "client_id=${ADOBE_CLIENT_ID} &client_secret=${ADOBE_CLIENT_SECRET} &grant_type=client_credentials&scope=${ADOBE_SCOPES} " | python3 -c "import sys,json; print(json.load(sys.stdin)['access_token'])" )
API_CODE=$(curl -s -o /dev/null -w "%{http_code}" -X POST \
'https://firefly-api.adobe.io/v3/images/generate' \
-H "Authorization: Bearer $TOKEN " \
-H "x-api-key: $ADOBE_CLIENT_ID " \
-H "Content-Type: application/json" \
-d '{"prompt":"test","n":1,"size":{"width":512,"height":512}}' )
echo "Firefly API: HTTP $API_CODE "
fi
Technique 6: Extract x-request-id for Adobe Support
async function debugAdobeCall (url : string , options : RequestInit const response = await fetch (url, options);
const debugInfo = {
url,
status : response.status ,
requestId : response.headers .get ('x-request-id' ),
retryAfter : response.headers .get ('Retry-After' ),
contentType : response.headers .get ('content-type' ),
date : response.headers .get ('date' ),
};
if (!response.ok ) {
const body = await response.text ();
console .error ('Adobe API Error:' , { ...debugInfo, body : body.slice (0 , 500 ) });
}
return { response, debugInfo };
}
Support Escalation Template Adobe Support Ticket
Severity: P[1-4]
x-request-id: [from response header]
Timestamp: [ISO 8601]
Client ID: [first 8 chars only]
API: [Firefly / PDF Services / Photoshop]
Endpoint: [full URL]
HTTP Status: [status code]
Issue Summary: [1-2 sentences]
Steps to Reproduce:
1. [Step]
2. [Step]
Evidence:
- Layer test results attached
- Verbose curl output attached
- JWT token claims (non-sensitive fields only)
Workarounds Attempted:
1. [What you tried] - [Result]
Output
IMS token decoded and claims inspected
HTTP request/response fully traced
Error codes mapped to recovery actions
Network layers tested independently
Support escalation with x-request-id
Resources
Next Steps For load testing, see adobe-load-scale.
