From exa-pack
Executes Exa API incident response with triage curl tests, error decision trees, and mitigations for auth failures, rate limits, and outages.
npx claudepluginhub jeremylongshore/claude-code-plugins-plus-skills --plugin exa-packThis skill is limited to using the following tools:
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 hello@exa.ai for urgent production issues.
Diagnose and fix Exa API errors by HTTP code and tag for 400-429 issues, including curl auth tests and TypeScript rate limit backoff.
Executes triage (curl tests for sonar models/auth), decision trees, and mitigation for Perplexity API outages and search degradations. For on-call incident response.
Triages Glean search incidents: check status page, connector runs, permissions, datasource configs, and document IDs before escalating to support.
Share bugs, ideas, or general feedback.
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 hello@exa.ai for urgent production issues.
| Level | Definition | Response Time | Example |
|---|---|---|---|
| P1 | All Exa calls failing | < 15 min | 401/500 on every request |
| P2 | Degraded performance | < 1 hour | High latency, partial failures |
| P3 | Minor impact | < 4 hours | Empty results, content fetch failures |
| P4 | No user impact | Next business day | Monitoring gaps |
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)}"
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
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
// 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 });
// 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;
}
}
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]
To: hello@exa.ai
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]
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
## 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
| Issue | Cause | Solution |
|---|---|---|
| Intermittent 5xx | Exa server issues | Retry with backoff, check status page |
| All requests 401 | API key rotated/expired | Regenerate at dashboard.exa.ai |
| Sudden empty results | Exa index issue | Switch search type, broaden query |
| Latency spike | Exa under load | Use fast type, enable caching |
For data handling, see exa-data-handling. For debugging, see exa-debug-bundle.