perplexity-advanced-troubleshooting

2
1
Source

Apply Perplexity advanced debugging techniques for hard-to-diagnose issues. Use when standard troubleshooting fails, investigating complex race conditions, or preparing evidence bundles for Perplexity support escalation. Trigger with phrases like "perplexity hard bug", "perplexity mystery error", "perplexity impossible to debug", "difficult perplexity issue", "perplexity deep debug".

Install

mkdir -p .claude/skills/perplexity-advanced-troubleshooting && curl -L -o skill.zip "https://mcp.directory/api/skills/download/3523" && unzip -o skill.zip -d .claude/skills/perplexity-advanced-troubleshooting && rm skill.zip

Installs to .claude/skills/perplexity-advanced-troubleshooting

About this skill

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 ==="

# Layer 1: DNS
echo -n "1. DNS: "
dig +short api.perplexity.ai || echo "FAIL"

# Layer 2: TCP connectivity
echo -n "2. TCP: "
timeout 5 bash -c 'echo > /dev/tcp/api.perplexity.ai/443 && echo "OK"' 2>/dev/null || echo "FAIL"

# Layer 3: TLS handshake
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/'

# Layer 4: HTTP with auth
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 ""

# Layer 5: Response quality
echo "5. Quality check:"
RESPONSE=$(curl -s \
  -H "Authorization: Bearer $PERPLEXITY_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"sonar","messages":[{"role":"user","content":"What is 2+2?"}],"max_tokens":50}' \
  https://api.perplexity.ai/chat/completions)

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

// Same query can return different citations due to live web search
// Run N times and compare to identify pattern vs randomness

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)); // Rate limit
  }

  // Analyze consistency
  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));
    }
  }

  // Print report
  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

// Verify search_recency_filter is actually working
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

IssueCauseSolution
Different citations per callWeb search is non-deterministicCache results; accept variability
recency filter ignoredQuery overrides filter contextMake query explicitly time-bounded
sonar-pro timeoutComplex multi-source searchSet 30s timeout, fall back to sonar
Answer quality variesDifferent web sources foundUse 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.

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