Imported from gabrielmoreira/agent-skills-mirror (mirrors/repos/jeremylongshore@tons-of-skills-marketplace/skills/.curated/groq-incident-runbook/SKILL.md). Install upstream with npx skills add gabrielmoreira/agent-skills-mirror --skill groq-incident-runbook. Copyright stays with the author (MIT).

Groq Incident Runbook

Overview

Rapid incident response procedures for Groq API failures. Groq is a third-party inference provider -- when it goes down, your mitigation options are: wait, fall back to a different model, or fall back to a different provider.

This SKILL.md is the high-level flow. Deep, copy-paste-ready material lives in references/:

• triage-and-diagnostics.md — severity table, the Quick Triage script, and the full decision tree.
• mitigations.md — fallback-model routing (TypeScript), 429 rate-limit actions, 401 key rotation.
• communication-and-postmortem.md — Slack/status-page templates, evidence collection, postmortem template.

Prerequisites

• GROQ_API_KEY exported in the environment you run the triage commands from.
• curl for API probes; kubectl only if you collect logs from a Kubernetes deployment.
• Access to console.groq.com to rotate keys or upgrade the plan.
• A configured fallback provider (e.g. OpenAI) if you need to fail away from Groq entirely.

Authentication: every Groq API call in this runbook authenticates with a bearer token — Authorization: Bearer $GROQ_API_KEY. Keep the key in a secret manager, never inline; the evidence-collection step in communication-and-postmortem.md redacts gsk_ tokens from logs before archiving.

Instructions

Work the incident in five phases. Each phase points to the reference file with the exact commands.

1. Classify severity. Match user impact to the P1–P4 table in triage-and-diagnostics.md — this sets your response-time budget (P1 < 15 min, P4 next business day).

2. Triage. Run the Quick Triage script (status reachability, auth, per-model availability, rate-limit headers). The one-line probe that starts most incidents:

   curl -s -o /dev/null -w "%{http_code}\n" \
     https://api.groq.com/openai/v1/models \
     -H "Authorization: Bearer $GROQ_API_KEY"

3. Decide. Walk the decision tree in triage-and-diagnostics.md to turn the HTTP code (timeout / 401 / 429 / 5xx / slow) into an action path.

4. Mitigate. Apply the matching fix from mitigations.md: fallback-model routing for 5xx on one model, wait-or-reroute for 429, key rotation for 401, enable the fallback provider for a Groq-wide outage.

5. Communicate & close. Post the internal alert and status-page update, then after resolution collect evidence and write the postmortem — all in communication-and-postmortem.md.

Output

Running this runbook produces:

• A triage verdict — the HTTP status per model and whether the fault is Groq-side or ours.
• An applied mitigation — traffic routed to a healthy model or provider, or a rotated key.
• A communication trail — internal alert + external status-page message.
• An evidence bundle — groq-incident-TIMESTAMP.tar.gz containing models.json and redacted app-logs.txt.
• A postmortem document — timeline, root cause, and dated action items.

Error Handling

Examples

Example — 429 on the primary model. Triage shows llama-3.3-70b-versatile: HTTP 429 while llama-3.1-8b-instant: HTTP 200. The decision tree routes "one model 429 → route to a different model," so you switch traffic to the 8B model per mitigations.md, post a P3 internal alert, and file an action item to add fallback routing. The fallback-routing function lives in mitigations.md; the alert and postmortem templates are in communication-and-postmortem.md.

Resources

• Groq Status Page
• Groq Error Codes
• Groq Rate Limits

Next Steps

For data-handling and compliance procedures after an incident, see the groq-data-handling skill in this pack.