Skip to main content الرئيسية المنشئون jeremylongshore tons-of-skills-marketplace deepgram-incident-runbook
deepgram-incident-runbook Execute Deepgram incident response procedures for production issues.
Use when handling Deepgram outages, debugging production failures,
or responding to service degradation.
Trigger: "deepgram incident", "deepgram outage", "deepgram production issue",
"deepgram down", "deepgram emergency", "deepgram 500 errors".
الانتقال إلى التثبيت سوق المهارات اكتشف واستكشف مهارات الذكاء الاصطناعي التي بناها المجتمع.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
عرض تفاصيل Prompt يتجاوز الأمر المباشر Prompt المخصّص للمراجعة. افحص المصدر قبل تشغيله.
npx skills add https://github.com/jeremylongshore/tons-of-skills-marketplace --skill deepgram-incident-runbookيبقى الأمر في سطر واحد. مرّر أفقيًا لمراجعته كاملًا قبل النسخ.
تفضّل نسخة محلية؟ نزّل الملفات المتاحة حاليًا لدى SkillsMP.
تحميل Zip جاري التحميل... المزيد من هذا المستودع langchain-deploy-integration Deploy a LangChain 1.0 / LangGraph 1.0 app to Cloud Run, Vercel, or LangServe correctly — with timeouts sized for chain length, cold-start mitigation, SSE anti-buffering headers, and Secret Manager over .env. Use when prepping a first production deploy, debugging a stream that hangs behind a proxy, or diagnosing p99 latency spikes. Trigger with "langchain deploy", "langchain cloud run", "langchain vercel python", "langchain langserve", or "langchain docker".
langchain-langgraph-agents Build a correct LangGraph 1.0 ReAct agent with create_react_agent — typed tools, error propagation, recursion caps, and stop conditions that actually stop. Use when writing a first tool-calling agent, migrating from AgentExecutor or initialize_agent, or diagnosing an agent that loops on vague prompts. Trigger with "langgraph agent", "create_react_agent", "langgraph tool calling", "AgentExecutor migration", or "agent loop cost".
langchain-langgraph-human-in-loop Build LangGraph 1.0 human-in-the-loop approval flows with interrupt_before /
interrupt_after and Command(resume=...) — JSON-serializable state, clean
resume semantics, and UI wiring for approval decisions. Use when adding an
approval gate before an expensive tool call, wiring a Slack/web UI for agent
approvals, or debugging a graph that crashes on interrupt.
Trigger with "langgraph human in loop", "langgraph interrupt_before",
"langgraph approval flow", "Command resume", "langgraph HITL".
name deepgram-incident-runbook description Execute Deepgram incident response procedures for production issues.
Use when handling Deepgram outages, debugging production failures,
or responding to service degradation.
Trigger: "deepgram incident", "deepgram outage", "deepgram production issue",
"deepgram down", "deepgram emergency", "deepgram 500 errors".
allowed-tools Read, Write, Edit, Bash(curl:*), Bash(kubectl:*) version 1.13.0 license MIT author Jeremy Longshore <jeremy@intentsolutions.io> tags ["saas","deepgram","debugging","incident-response"] compatibility Designed for Claude Code
Deepgram Incident Runbook
Overview
Standardized incident response for Deepgram-related production issues. Includes automated triage script, severity classification (SEV1-SEV4), immediate mitigation actions, fallback activation, and post-incident review template.
Quick Reference
Severity Classification
Level Definition Response Time Example SEV1 Complete outage, all transcriptions failing Immediate 100% 5xx errors SEV2 Major degradation, >50% error rate < 15 min Specific model failing SEV3 Minor degradation, elevated latency < 1 hour P95 > 30s SEV4 Single feature affected, cosmetic < 24 hours Diarization inaccurate
Instructions
Step 1: Automated Triage (First 5 Minutes)
#!/bin/bash
set -euo pipefail
echo "=== Deepgram Incident Triage ==="
echo "Timestamp: $(date -u +%Y-%m-%dT%H:%M:%SZ) "
echo ""
echo "--- Status Page ---"
STATUS=$(curl -s -o /dev/null -w "%{http_code}" https://status.deepgram.com)
echo "Status page: HTTP
$STATUS
echo
""
echo
"--- API Connectivity ---"
"\nHTTP: %{http_code} | Latency: %{time_total}s\n"
'https://api.deepgram.com/v1/projects'
"Authorization: Token $DEEPGRAM_API_KEY "
head
echo
""
echo
"--- Transcription Test ---"
"\n%{http_code}"
'https://api.deepgram.com/v1/listen?model=nova-3&smart_format=true'
"Authorization: Token $DEEPGRAM_API_KEY "
"Content-Type: application/json"
'{"url":"https://static.deepgram.com/examples/Bueller-Life-moves-702702706.wav"}'
echo
"$RESULT "
tail
echo
"Transcription: HTTP $HTTP_CODE "
echo
""
echo
"--- Model Tests ---"
for
in
do
"%{http_code}"
"https://api.deepgram.com/v1/listen?model=$MODEL "
"Authorization: Token $DEEPGRAM_API_KEY "
"Content-Type: application/json"
'{"url":"https://static.deepgram.com/examples/Bueller-Life-moves-702702706.wav"}'
echo
"$MODEL : HTTP $CODE "
done
echo
""
echo
"--- Internal Metrics ---"
echo
"Health endpoint unavailable"
Step 2: SEV1 Response (Complete Outage) import { createClient } from '@deepgram/sdk' ;
class DeepgramFallbackService {
private primaryClient : ReturnType <typeof createClient>;
private isInFallbackMode = false ;
private failedRequests : Array <{ url : string ; options : any ; timestamp : Date }> = [];
constructor (apiKey : string this .primaryClient = createClient (apiKey);
}
async transcribe (url : string , options : any if (this .isInFallbackMode ) {
return this .handleFallback (url, options);
}
try {
const { result, error } = await this .primaryClient .listen .prerecorded .transcribeUrl (
{ url }, options
);
if (error) throw error;
return { source : 'deepgram' , result };
} catch (err) {
console .error ('Deepgram failed, entering fallback mode' );
this .isInFallbackMode = true ;
return this .handleFallback (url, options);
}
}
private handleFallback (url : string , options : any this .failedRequests .push ({ url, options, timestamp : new Date () });
console .warn (`Queued for replay: ${url} (${this .failedRequests.length} in queue)` );
return {
source : 'fallback' ,
message : 'Transcription queued — Deepgram is currently unavailable' ,
queuePosition : this .failedRequests .length ,
};
}
async replayQueue (console .log (`Replaying ${this .failedRequests.length} queued requests...` );
const queue = [...this .failedRequests ];
this .failedRequests = [];
this .isInFallbackMode = false ;
for (const req of queue) {
try {
await this .transcribe (req.url , req.options );
console .log (`Replayed: ${req.url} ` );
} catch (err : any ) {
console .error (`Replay failed: ${req.url} — ${err.message} ` );
this .failedRequests .push (req);
}
}
}
}
Step 3: SEV2 Response (Partial Degradation) async function mitigateSev2 (const client = createClient (process.env .DEEPGRAM_API_KEY !);
const testUrl = 'https://static.deepgram.com/examples/Bueller-Life-moves-702702706.wav' ;
console .log ('=== SEV2 Mitigation ===' );
const models = ['nova-3' , 'nova-2' , 'base' , 'whisper-large' ] as const ;
const working : string [] = [];
const broken : string [] = [];
for (const model of models) {
try {
const { error } = await client.listen .prerecorded .transcribeUrl (
{ url : testUrl }, { model }
);
if (error) throw error;
working.push (model);
console .log (` [OK] ${model} ` );
} catch {
broken.push (model);
console .log (` [FAIL] ${model} ` );
}
}
console .log (`\nWorking models: ${working.join(', ' )} ` );
console .log (`Broken models: ${broken.join(', ' )} ` );
if (working.length > 0 ) {
console .log (`\nAction: Switch to ${working[0 ]} until ${broken.join(', ' )} recovers` );
} else {
console .log ('\nAction: All models failing — escalate to SEV1' );
}
const features = [
{ name : 'diarize' , opts : { diarize : true } },
{ name : 'smart_format' , opts : { smart_format : true } },
{ name : 'utterances' , opts : { utterances : true } },
];
console .log ('\n--- Feature Tests ---' );
for (const { name, opts } of features) {
try {
const { error } = await client.listen .prerecorded .transcribeUrl (
{ url : testUrl }, { model : working[0 ] ?? 'nova-3' , ...opts }
);
console .log (` [${error ? 'FAIL' : 'OK' } ] ${name} ` );
} catch {
console .log (` [FAIL] ${name} ` );
}
}
}
Step 4: SEV3/SEV4 Mitigation
function configureSev3Mitigation (return {
timeout : 60000 ,
maxRetries : 5 ,
model : 'nova-2' ,
diarize : false ,
smart_format : true ,
utterances : false ,
summarize : false ,
detect_topics : false ,
};
}
function configureSev4Mitigation (brokenFeature : string const overrides : Record <string , any > = {};
overrides[brokenFeature] = false ;
console .log (`Disabled ${brokenFeature} — filing Deepgram support ticket` );
return overrides;
}
Step 5: Post-Incident Review Template ## Deepgram Incident Report
**Date:** YYYY-MM-DD
**Duration:** HH:MM start — HH:MM end (X minutes total)
**Severity:** SEV1/2/3/4
**On-Call:** [Name]
### Timeline
| Time (UTC) | Event |
|------------|-------|
| HH:MM | Alert fired: [alert name] |
| HH:MM | On-call acknowledged |
| HH:MM | Triage completed, classified as SEV[N] |
| HH:MM | Mitigation applied: [action taken] |
| HH:MM | Service restored |
| HH:MM | All-clear confirmed |
### Impact
- **Failed requests:** N
- **Affected users:** N
- **Revenue impact:** $X
- **SLA impact:** X minutes of downtime
### Root Cause
[Description of root cause — Deepgram outage / configuration issue / etc.]
### What Went Well
- [Item 1]
- [Item 2]
### What Could Be Improved
- [Item 1]
- [Item 2]
### Action Items
| Action | Owner | Due Date |
|--------|-------|----------|
| [Action 1] | [Name] | YYYY-MM-DD |
| [Action 2] | [Name] | YYYY-MM-DD |
Step 6: Escalation Matrix Level Contact When L1 On-call engineer Alert fires L2 Team lead 15 min without resolution L3 Deepgram support (support@deepgram.com ) Confirmed Deepgram-side issue L4 Engineering director SEV1 > 1 hour
Output
Automated triage script (bash, runs in <30s)
SEV1 fallback service with request queue and replay
SEV2 model/feature diagnosis and auto-fallback
SEV3/SEV4 mitigation configurations
Post-incident review template
Error Handling Issue Cause Solution Triage script can't reach Deepgram Network or DNS Check outbound HTTPS to api.deepgram.com Fallback queue growing Extended outage Alert if queue > 1000, consider alternate STT Replay failures Audio URLs expired Re-fetch audio from source before replay Status page shows green but API fails Partial outage not yet reflected Report to Deepgram support immediately
Resources 