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.zipInstalls 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 postmortemKey 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
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
| 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 |
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
| 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 |
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
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.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| exa-incident-runbook (this skill) | 1 | 27d | Review | Intermediate |
| firecrawl-incident-runbook | 1 | 27d | Review | Intermediate |
| sentry-install-auth | 0 | 27d | Review | Beginner |
| monitoring-apis | 1 | 27d | Review | Advanced |
Try saying
Example prompts that trigger this skill in your AI assistant.
More by jeremylongshore
View all by jeremylongshore →You might also like
firecrawl-incident-runbook
jeremylongshore
Execute FireCrawl incident response procedures with triage, mitigation, and postmortem. Use when responding to FireCrawl-related outages, investigating errors, or running post-incident reviews for FireCrawl integration failures. Trigger with phrases like "firecrawl incident", "firecrawl outage", "firecrawl down", "firecrawl on-call", "firecrawl emergency", "firecrawl broken".
sentry-install-auth
jeremylongshore
Install and configure Sentry SDK authentication. Use when setting up a new Sentry integration, configuring DSN, or initializing Sentry in your project. Trigger with phrases like "install sentry", "setup sentry", "sentry auth", "configure sentry DSN".
monitoring-apis
jeremylongshore
Build real-time API monitoring dashboards with metrics, alerts, and health checks. Use when tracking API health and performance metrics. Trigger with phrases like "monitor the API", "add API metrics", or "setup API monitoring".
gamma-observability
jeremylongshore
Implement comprehensive observability for Gamma integrations. Use when setting up monitoring, logging, tracing, or building dashboards for Gamma API usage. Trigger with phrases like "gamma monitoring", "gamma logging", "gamma metrics", "gamma observability", "gamma dashboard".
azure-mgmt-weightsandbiases-dotnet
microsoft
Azure Weights & Biases SDK for .NET. ML experiment tracking and model management via Azure Marketplace. Use for creating W&B instances, managing SSO, marketplace integration, and ML observability. Triggers: "Weights and Biases", "W&B", "WeightsAndBiases", "ML experiment tracking", "model registry", "experiment management", "wandb".
deepgram-observability
jeremylongshore
Set up comprehensive observability for Deepgram integrations with metrics, traces, and alerts. Use when implementing monitoring for Deepgram operations, setting up dashboards, or configuring alerting for Deepgram integration health. Trigger with phrases like "deepgram monitoring", "deepgram metrics", "deepgram observability", "monitor deepgram", "deepgram alerts", "deepgram tracing".