EX

exa-incident-runbook

Runbook for triaging, mitigating, and investigating Exa API failures and outages.

Install

mkdir -p .claude/skills/exa-incident-runbook && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/4731" && unzip -o skill.zip -d .claude/skills/exa-incident-runbook && rm skill.zip

Installs to .claude/skills/exa-incident-runbook

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

Execute Exa incident response with triage, mitigation, and postmortem
69 charsno explicit “when” trigger
Intermediate

Key capabilities

  • Triage Exa API connectivity and status
  • Execute incident response procedures for API errors
  • Implement emergency caching for rate-limited requests
  • Perform graceful degradation during server errors
  • Collect logs and metrics for post-incident reviews

How it works

The runbook provides a decision tree and scripts to identify error codes, apply emergency caching or fallbacks, and document findings in a postmortem.

Inputs & outputs

You give it
Exa API error response or performance metric
You get back
Incident triage report and mitigation strategy

When to use exa-incident-runbook

  • Triage Exa API connectivity issues
  • Verify service status during outage
  • Run incident response procedures
  • Execute API diagnostics

About this skill

Exa Incident Runbook

Overview

Rapid incident response procedures for Exa search API issues. Exa errors include a requestId field for support escalation. Default rate limit is 10 QPS. Contact [email protected] for urgent production issues.

Severity Levels

LevelDefinitionResponse TimeExample
P1All Exa calls failing< 15 min401/500 on every request
P2Degraded performance< 1 hourHigh latency, partial failures
P3Minor impact< 4 hoursEmpty results, content fetch failures
P4No user impactNext business dayMonitoring gaps

Quick Triage (Run First)

set -euo pipefail
echo "=== Exa Triage ==="

# 1. Test API connectivity
echo -n "API Status: "
HTTP_CODE=$(curl -s -o /tmp/exa-triage.json -w "%{http_code}" \
  -X POST https://api.exa.ai/search \
  -H "x-api-key: $EXA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"query":"triage test","numResults":1}')
echo "$HTTP_CODE"

# 2. Show error details if not 200
if [ "$HTTP_CODE" != "200" ]; then
  echo "Error response:"
  cat /tmp/exa-triage.json | python3 -m json.tool 2>/dev/null || cat /tmp/exa-triage.json
fi

# 3. Check if it's a key issue
echo ""
echo "API Key: ${EXA_API_KEY:+SET (${#EXA_API_KEY} chars)}"

Decision Tree

Exa API returning errors?
├── YES: What HTTP code?
│   ├── 401 → API key invalid/expired → Regenerate at dashboard.exa.ai
│   ├── 402 → Credits exhausted → Top up at dashboard.exa.ai
│   ├── 429 → Rate limited → Implement backoff, enable caching
│   ├── 5xx → Exa server issue → Retry with backoff, wait for resolution
│   └── 400 → Bad request → Fix request parameters
└── NO: Is search quality degraded?
    ├── Empty results → Broaden query, check date/domain filters
    ├── Low relevance → Switch search type, rephrase query
    └── Slow responses → Switch to faster search type, add caching

Immediate Actions by Error Code

401/403 — Authentication

set -euo pipefail
# Verify API key
echo "Key present: ${EXA_API_KEY:+yes}"
echo "Key length: ${#EXA_API_KEY}"

# Test with a simple search
curl -v -X POST https://api.exa.ai/search \
  -H "x-api-key: $EXA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"query":"auth test","numResults":1}' 2>&1 | grep "< HTTP"

# Fix: regenerate key at dashboard.exa.ai and update env

429 — Rate Limited

// Enable emergency caching to reduce API calls
import { LRUCache } from "lru-cache";

const emergencyCache = new LRUCache<string, any>({
  max: 10000,
  ttl: 30 * 60 * 1000, // 30-minute emergency TTL
});

// Reduce concurrent requests
import PQueue from "p-queue";
const queue = new PQueue({ concurrency: 3, interval: 1000, intervalCap: 5 });

5xx — Exa Server Errors

// Enable graceful degradation
async function searchWithFallback(query: string, opts: any) {
  try {
    return await exa.searchAndContents(query, opts);
  } catch (err: any) {
    if (err.status >= 500) {
      console.error(`[Exa] ${err.status}: ${err.message} (requestId: ${err.requestId})`);
      // Return cached results or show degraded UI
      const cached = emergencyCache.get(query);
      if (cached) return cached;
      return { results: [], _degraded: true };
    }
    throw err;
  }
}

Communication Templates

Internal (Slack)

P[1-4] INCIDENT: Exa Search Integration
Status: INVESTIGATING
Impact: [Describe user impact]
Error: [HTTP code] [error tag]
RequestId: [from error response]
Current action: [What you're doing]
Next update: [Time]

Support Escalation

To: [email protected]
Subject: [P1/P2] Production issue — [brief description]

RequestId: [from error response]
Timestamp: [ISO 8601]
HTTP Status: [code]
Error Tag: [tag from response]
Frequency: [every request / intermittent / percentage]
Impact: [number of affected users/requests]

Post-Incident

Evidence Collection

set -euo pipefail
# Capture recent error logs
kubectl logs -l app=exa-integration --since=1h 2>/dev/null | grep -i "error\|429\|500" | tail -50

# Capture metrics snapshot
curl -s "localhost:9090/api/v1/query?query=rate(exa_search_error[1h])" 2>/dev/null

Postmortem Template

## Incident: Exa [Error Type]
**Date:** YYYY-MM-DD | **Duration:** Xh Ym | **Severity:** P[1-4]

### Summary
[1-2 sentence description]

### Timeline
- HH:MM — First error detected
- HH:MM — Triage began
- HH:MM — Root cause identified
- HH:MM — Mitigation applied
- HH:MM — Full recovery

### Root Cause
[Technical explanation]

### Action Items
- [ ] [Preventive measure] — Owner — Due date

Error Handling

IssueCauseSolution
Intermittent 5xxExa server issuesRetry with backoff, check status page
All requests 401API key rotated/expiredRegenerate at dashboard.exa.ai
Sudden empty resultsExa index issueSwitch search type, broaden query
Latency spikeExa under loadUse fast type, enable caching

Resources

Next Steps

For data handling, see exa-data-handling. For debugging, see exa-debug-bundle.

When not to use it

  • When API keys are not configured in the environment
  • When the issue is unrelated to Exa API connectivity

Prerequisites

Exa API keykubectl access for log collection

Limitations

  • Default rate limit is 10 QPS
  • Requires requestId for support escalation

How it compares

It provides specific triage scripts and communication templates for Exa-related incidents rather than generic troubleshooting.

Compared to similar skills

exa-incident-runbook side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
exa-incident-runbook (this skill)127dReviewIntermediate
firecrawl-incident-runbook127dReviewIntermediate
sentry-install-auth027dReviewBeginner
monitoring-apis127dReviewAdvanced

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