Atlas / Skills / jeremylongshore / Langfuse Incident Runbook

Langfuse Incident RunbookSAFE

skills/jeremylongshore/langfuse-incident-runbook

Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com.

Verdict
SAFE
Grade
B
Trust score
89 /100
Version
1.17.0
Hosts
1 documented
License
MIT
Stars
2,824
01

Overview

Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com.

Read from source at commit 4f83675ca38aOBSERVED · 2026-10-09
02

Host compatibility

What the documentation claims. We have not run a compatibility test.

HostStatusNotes
claude-codementioned
03

What it tells the agent

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
name: langfuse-incident-runbook
description: 'Troubleshoot and respond to Langfuse-related incidents and outages.

  Use when experiencing Langfuse outages, debugging production issues,

  or responding to LLM observability incidents.

  Trigger with phrases like "langfuse incident", "langfuse outage",

  "langfuse down", "langfuse production issue", "langfuse troubleshoot".

  '
allowed-tools: Read, Write, Edit, Bash(curl:*)
version: 1.17.0
license: MIT
author: Jeremy Longshore <[email protected]>
tags:
- saas
- langfuse
- observability
- llm
- debugging
compatibility: Designed for Claude Code
---
# Langfuse Incident Runbook

## Prerequisites

- Access to the affected Langfuse project, deployment logs, and the service status page.
- An on-call contact and a change path for disabling or reconfiguring telemetry safely.
- A redaction-safe incident record; do not paste API keys, authorization headers, or prompts into it.

## Overview

Step-by-step procedures for Langfuse-related incidents, from initial triage (2 min) through resolution and post-incident review. Your application should work without Langfuse -- these procedures focus on restoring observability.

## Severity Classification

| Severity | Description | Response Time | Example |
|----------|-------------|---------------|---------|
| P1 | Application impacted by tracing | 15 min | SDK throwing unhandled errors, blocking requests |
| P2 | Traces not appearing, no app impact | 1 hour | Missing observability data |
| P3 | Degraded performance from tracing | 4 hours | High latency from flush backlog |
| P4 | Minor issues | 24 hours | Occasional missing traces |

## Instructions

### Step 1: Initial Assessment (2 Minutes)

```bash
set -euo pipefail
echo "=== Langfuse Incident Triage ==="
echo "Time: $(date -u)"

# 1. Check Langfuse cloud status
echo -n "Status page: "
curl -s -o /dev/null -w "%{http_code}" https://status.langfuse.com || echo "UNREACHABLE"
echo ""

# 2. Test API connectivity
HOST="${LANGFUSE_BASE_URL:-${LANGFUSE_HOST:-https://cloud.langfuse.com}}"
echo -n "API health: "
curl -s -o /dev/null -w "%{http_code} (%{time_total}s)" "$HOST/api/public/health" || echo "FAILED"
echo ""

# 3. Test auth
if [ -n "${LANGFUSE_PUBLIC_KEY:-}" ] && [ -n "${LANGFUSE_SECRET_KEY:-}" ]; then
  AUTH=$(echo -n "$LANGFUSE_PUBLIC_KEY:$LANGFUSE_SECRET_KEY" | base64)
  echo -n "Auth test: "
  curl -s -o /dev/null -w "%{http_code}" \
    -H "Authorization: Basic $AUTH" "$HOST/api/public/traces?limit=1" || echo "FAILED"
  echo ""
fi

# 4. Check app error logs
echo ""
echo "--- Recent errors ---"
grep -i "langfuse\|trace.*error\|flush.*fail" /var/log/app/*.log 2>/dev/null | tail -10 || echo "No log files found"
```

### Step 2: Determine Incident Type and Response

| Symptom | Likely Cause | Immediate Action |
|---------|--------------|-----------------|
| No traces appearing | SDK not flushing | Check shutdown handlers; set `flushAt: 1` temporarily |
| `401 Unauthorized` | Key rotation or mismatch | Verify keys match the correct project |
| `429 Too Many Requests` | Rate limited | Increase batch size, reduce flush frequency |
| SDK throwing errors | Unhandled exception | Wrap in try/catch; check SDK version |
| High request latency | Sync flush in hot path | Switch to async; increase `requestTimeout` |
| Complete Langfuse outage | Service-side issue | Enable fallback mode |

### Step 3: Fallback Mode (P1 -- App Impacted)

If Langfuse is causing application issues, disable tracing immediately:

```typescript
// Emergency disable via environment variable
// Set LANGFUSE_ENABLED=false in your deployment

// In your tracing initialization:
if (process.env.LANGFUSE_ENABLED === "false") {
  console.warn("Langfuse tracing DISABLED (emergency fallback)");
  // Don't initialize SDK -- all observe/startActiveObservation calls
  // will still work but produce no-op spans
}
```

For v3, use the `enabled` flag:

```typescript
const langfuse = new Langfuse({
  enabled: process.env.LANGFUSE_ENABLED !== "false",
});
```

### Step 4: Common Resolution Procedures

**Procedure A: Missing Traces**

```typescript
// 1. Verify SDK is initialized
console.log("Langfuse configured:", !!process.env.LANGFUSE_PUBLIC_KEY);

// 2. Check flush is happening
// v4+: Verify NodeSDK is started and shutdown is registered
// v3: Verify flushAsync() or shutdownAsync() is called

// 3. Temporarily set aggressive flush for debugging
const processor = new LangfuseSpanProcessor({
  exportIntervalMillis: 1000,
  maxExportBatchSize: 1,
});
```

**Procedure B: Rate Limit (429) Recovery**

```typescript
// Increase batching to reduce API calls
const processor = new LangfuseSpanProcessor({
  exportIntervalMillis: 30000, // 30s flush
  maxExportBatchSize: 200,     // Large batches
});

// Or temporarily enable sampling
const EMERGENCY_SAMPLE_RATE = 0.1; // Only trace 10%
```

**Procedure C: Self-Hosted Instance Down**

```bash
set -euo pipefail
# Check container status
docker ps -a | grep langfuse

# Check logs
docker logs langfuse-langfuse-1 --tail 50

# Check database
docker exec langfuse-postgres-1 pg_isready -U langfuse

# Restart if needed
docker compose restart langfuse
```

### Step 5: Post-Incident Verification

```bash
set -euo pipefail
# Verify traces are flowing again
echo "=== Post-Incident Check ==="

HOST="${LANGFUSE_BASE_URL:-https://cloud.langfuse.com}"
AUTH=$(echo -n "$LANGFUSE_PUBLIC_KEY:$LANGFUSE_SECRET_KEY" | base64)

# Check recent trace count
TRACE_COUNT=$(curl -s \
  -H "Authorization: Basic $AUTH" \
  "$HOST/api/public/traces?limit=5" | python3 -c "import sys,json; print(len(json.load(sys.stdin).get('data',[])))" 2>/dev/null || echo "ERROR")

echo "Recent traces: $TRACE_COUNT"

if [ "$TRACE_COUNT" = "0" ] || [ "$TRACE_COUNT" = "ERROR" ]; then
  echo "WARNING: Traces may not be flowing yet"
else
  echo "OK: Traces are appearing"
fi
```

### Step 6: Post-Incident Review (P1/P2)

Document for post-mortem:

1. **Timeline**: When detected, when resolved, total durati
04

Trust audit

SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

LayerWhat it checksResult
L0Provenance & inventoryPASS
L1Static analysis of the codePASS
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
none-observed
Shell
none-observed
Dependencies
pinned
Secrets in source
none-found

Findings (0)

No findings outside the package's declared scope.

Gates applied: no_behavioural_pass.

Audited 2026-10-09 · audit v0.4.1 · source sha 4f83675ca38afull audit observations/trust-audit/skill/jeremylongshore__langfuse-incident-runbook.json · Report an issue / request a re-scan
05

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-10-094f83675ca38aSAFEB89first audit
06

Questions

What does the Langfuse Incident Runbook skill do?

Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com.

Is Langfuse Incident Runbook safe to install?

The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.

What can Langfuse Incident Runbook access on my machine?

The audit observed no filesystem, network or shell use at all in its source.

Which assistants does Langfuse Incident Runbook work with?

Its documentation mentions claude-code. That is what the text claims, not a compatibility test we ran.

How current is this page?

The grade is for one exact copy of the source (4f83675ca38a), read on 2026-10-09. The repository is watched, and a new audit runs when it changes — this is the first audit.

Advertisement