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perplexity-advanced-troubleshooting Apply advanced debugging techniques for hard-to-diagnose Perplexity Sonar API issues.
Use when standard troubleshooting fails, investigating inconsistent citations,
or preparing evidence for support escalation.
Trigger with phrases like "perplexity hard bug", "perplexity mystery error",
"perplexity inconsistent results", "difficult perplexity issue", "perplexity deep debug".
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langchain-deploy-integration Deploy a LangChain 1.0 / LangGraph 1.0 app to Cloud Run, Vercel, or LangServe correctly — with timeouts sized for chain length, cold-start mitigation, SSE anti-buffering headers, and Secret Manager over .env. Use when prepping a first production deploy, debugging a stream that hangs behind a proxy, or diagnosing p99 latency spikes. Trigger with "langchain deploy", "langchain cloud run", "langchain vercel python", "langchain langserve", or "langchain docker".
name perplexity-advanced-troubleshooting description Apply advanced debugging techniques for hard-to-diagnose Perplexity Sonar API issues.
Use when standard troubleshooting fails, investigating inconsistent citations,
or preparing evidence for support escalation.
Trigger with phrases like "perplexity hard bug", "perplexity mystery error",
"perplexity inconsistent results", "difficult perplexity issue", "perplexity deep debug".
allowed-tools Read, Grep, Bash(kubectl:*), Bash(curl:*), Bash(tcpdump:*) version 1.12.0 license MIT author Jeremy Longshore <jeremy@intentsolutions.io> tags ["saas","perplexity","debugging","scaling"] compatibility Designed for Claude Code
Perplexity Advanced Troubleshooting
Overview
Deep debugging for Perplexity Sonar API issues that resist standard fixes. Common hard problems: inconsistent citations between identical queries, intermittent timeouts on sonar-pro, search results not matching recency filter, and response quality degradation.
Prerequisites
Access to production logs and metrics
curl for direct API testing
Understanding of Perplexity's search-augmented generation model
Diagnostic Tools
Layer-by-Layer Test
#!/bin/bash
set -euo pipefail
echo "=== Perplexity Layer Diagnostics ==="
echo -n "1. DNS: "
dig +short api.perplexity.ai || echo "FAIL"
echo -n "2. TCP: "
timeout 5 bash -c 'echo > /dev/tcp/api.perplexity.ai/443 && echo "OK"' 2>/dev/null || echo "FAIL"
echo -n "3. TLS: "
echo | openssl s_client -connect api.perplexity.ai:443 2>/dev/null | grep -c "Verify return code: 0" | sed 's/1/OK/;s/0/FAIL/'
echo -n "4. Auth: "
curl -s -o /dev/null -w "%{http_code}" \
-H "Authorization: Bearer $PERPLEXITY_API_KEY " \
-H "Content-Type: application/json" \
-d '{"model":"sonar","messages":[{"role":"user","content":"test"}],"max_tokens":5}' \
https://api.perplexity.ai/chat/completions
echo ""
echo
RESPONSE=$(curl -s \
-H \
-H \
-d \
https://api.perplexity.ai/chat/completions)
"5. Quality check:"
"Authorization: Bearer $PERPLEXITY_API_KEY "
"Content-Type: application/json"
'{"model":"sonar","messages":[{"role":"user","content":"What is 2+2?"}],"max_tokens":50}'
echo
" Model: $(echo $RESPONSE | jq -r '.model') "
echo
" Answer: $(echo $RESPONSE | jq -r '.choices[0].message.content' | head -c 100) "
echo
" Citations: $(echo $RESPONSE | jq -r '.citations | length') "
echo
" Tokens: $(echo $RESPONSE | jq -r '.usage.total_tokens') "
Inconsistent Citation Investigation
async function citationStabilityTest (query : string , runs : number = 5 ) {
const results : Array <{ citations : string []; answer : string }> = [];
for (let i = 0 ; i < runs; i++) {
const response = await perplexity.chat .completions .create ({
model : "sonar" ,
messages : [{ role : "user" , content : query }],
max_tokens : 500 ,
});
results.push ({
answer : response.choices [0 ].message .content || "" ,
citations : (response as any ).citations || [],
});
await new Promise ((r ) => setTimeout (r, 2000 ));
}
const allCitations = results.flatMap ((r ) => r.citations );
const citationFreq = allCitations.reduce ((acc, url ) => {
acc[url] = (acc[url] || 0 ) + 1 ;
return acc;
}, {} as Record <string , number >);
const stable = Object .entries (citationFreq)
.filter (([, count] ) => count >= runs * 0.6 )
.map (([url] ) => url);
console .log (`Stable citations (>60% appearance): ${stable.length} /${Object .keys(citationFreq).length} ` );
console .log ("Stable:" , stable);
console .log ("All unique:" , Object .keys (citationFreq).length );
return { results, citationFreq, stableCitations : stable };
}
Latency Profiling async function profileLatency (
queries : string [],
models : string [] = ["sonar" , "sonar-pro" ]
) {
const results : Array <{
query : string ;
model : string ;
latencyMs : number ;
tokens : number ;
citations : number ;
}> = [];
for (const model of models) {
for (const query of queries) {
const start = performance.now ();
try {
const response = await perplexity.chat .completions .create ({
model,
messages : [{ role : "user" , content : query }],
max_tokens : 500 ,
});
results.push ({
query : query.slice (0 , 50 ),
model,
latencyMs : Math .round (performance.now () - start),
tokens : response.usage ?.total_tokens || 0 ,
citations : (response as any ).citations ?.length || 0 ,
});
} catch (err : any ) {
results.push ({
query : query.slice (0 , 50 ),
model,
latencyMs : Math .round (performance.now () - start),
tokens : 0 ,
citations : 0 ,
});
}
await new Promise ((r ) => setTimeout (r, 1500 ));
}
}
console .table (results);
const byModel = results.reduce ((acc, r ) => {
if (!acc[r.model ]) acc[r.model ] = [];
acc[r.model ].push (r.latencyMs );
return acc;
}, {} as Record <string , number []>);
for (const [model, latencies] of Object .entries (byModel)) {
const sorted = latencies.sort ((a, b ) => a - b);
console .log (`${model} : p50=${sorted[Math .floor(sorted.length * 0.5 )]} ms p95=${sorted[Math .floor(sorted.length * 0.95 )]} ms` );
}
}
Recency Filter Validation
async function testRecencyFilter ( ) {
const query = "latest technology news" ;
const filters : Array <"hour" | "day" | "week" | "month" > = ["hour" , "day" , "week" , "month" ];
for (const filter of filters) {
const response = await perplexity.chat .completions .create ({
model : "sonar" ,
messages : [{ role : "user" , content : query }],
search_recency_filter : filter,
max_tokens : 200 ,
} as any );
const citations = (response as any ).citations || [];
console .log (`\nRecency: ${filter} ` );
console .log (` Citations: ${citations.length} ` );
console .log (` Answer preview: ${(response.choices[0 ].message.content || "" ).slice(0 , 100 )} ...` );
await new Promise ((r ) => setTimeout (r, 2000 ));
}
}
Support Escalation Template ## Perplexity Support Escalation
**Issue:** [Brief description]
**Severity:** [P1-P4]
**First observed:** [ISO 8601 timestamp]
**Frequency:** [Always / Intermittent / Once]
### Steps to Reproduce
1. Call `POST https://api.perplexity.ai/chat/completions`
2. Body: `{"model": "sonar", "messages": [{"role": "user", "content": "..."}]}`
3. Observed: [What happened]
4. Expected: [What should happen]
### Evidence
- Layer diagnostic results: [paste output]
- Latency profile: [p50/p95 values]
- Citation stability: [X/Y stable citations]
- Response JSON: [attach]
### Workarounds Attempted
1. [Workaround] — Result: [outcome]
Error Handling Issue Cause Solution Different citations per call Web search is non-deterministic Cache results; accept variability recency filter ignored Query overrides filter context Make query explicitly time-bounded sonar-pro timeout Complex multi-source search Set 30s timeout, fall back to sonar Answer quality varies Different web sources found Use search_domain_filter for consistency
Output
Layer-by-layer diagnostic results
Citation stability analysis
Latency profiling by model
Support escalation package
Resources
Next Steps For load testing, see perplexity-load-scale.