langfuse-common-errors
Provides diagnostic steps to resolve Langfuse authentication issues and missing trace data.
Install
mkdir -p .claude/skills/langfuse-common-errors && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/5422" && unzip -o skill.zip -d .claude/skills/langfuse-common-errors && rm skill.zipInstalls to .claude/skills/langfuse-common-errors
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.
Diagnose and fix common Langfuse errors and exceptions.Key capabilities
- →Diagnose 401 authentication errors
- →Troubleshoot missing dashboard traces
- →Verify SDK configuration and API connectivity
- →Fix span flushing and timeout issues
- →Resolve duplicate trace generation
How it works
The skill provides a reference of common error messages and symptoms, mapping them to specific root causes and providing code-level fixes or CLI diagnostic commands.
Inputs & outputs
When to use langfuse-common-errors
- →Debug missing traces in dashboard
- →Fix 401 authentication errors
- →Verify Langfuse SDK configuration
- →Troubleshoot trace flushing issues
About this skill
Langfuse Common Errors
Overview
Diagnostic reference for the 10 most common Langfuse integration errors, with real error messages, root causes, and tested solutions.
Prerequisites
- Langfuse SDK installed
- API credentials configured
- Access to application logs or console output
Error Reference
1. Authentication Failed (401)
Error:
Langfuse: Unauthorized - Invalid API key
Error: 401 Unauthorized
Cause: API key missing, expired, revoked, or keys from wrong project.
Fix:
set -euo pipefail
# Verify env vars are set
echo "Public: ${LANGFUSE_PUBLIC_KEY:0:15}..."
echo "Secret: ${LANGFUSE_SECRET_KEY:0:10}..."
# Test auth against API
HOST="${LANGFUSE_BASE_URL:-https://cloud.langfuse.com}"
curl -s -o /dev/null -w "HTTP %{http_code}" \
"$HOST/api/public/health"
# Auth test
curl -s -o /dev/null -w "HTTP %{http_code}" \
-H "Authorization: Basic $(echo -n "$LANGFUSE_PUBLIC_KEY:$LANGFUSE_SECRET_KEY" | base64)" \
"$HOST/api/public/traces?limit=1"
2. Traces Not Appearing in Dashboard
Symptom: Code runs without errors but no traces show in UI.
Root causes (in order of likelihood):
- Data not flushed before process exits
- Wrong project keys (traces going to different project)
- Dashboard filter hiding traces
Fix:
// v4+: Ensure OTel SDK is shut down properly
const sdk = new NodeSDK({ spanProcessors: [new LangfuseSpanProcessor()] });
sdk.start();
// ... your code ...
await sdk.shutdown(); // MUST call this before process exits
// v3: Always flush
await langfuse.flushAsync();
// v3: Register shutdown handler for long-running processes
process.on("beforeExit", async () => {
await langfuse.shutdownAsync();
});
3. Network / Connection Errors
Error:
FetchError: request to https://cloud.langfuse.com failed
ECONNREFUSED / ETIMEDOUT
Fix:
set -euo pipefail
# Test connectivity
curl -v https://cloud.langfuse.com/api/public/health
# Check DNS
nslookup cloud.langfuse.com
# For self-hosted
curl -v $LANGFUSE_BASE_URL/api/public/health
// Increase timeout for slow networks
// v4+: Configure via OTel span processor options
// v3:
const langfuse = new Langfuse({ requestTimeout: 30000 });
4. Missing Token Usage
Symptom: Generations appear but token counts show zero.
Fix:
// For OpenAI streaming -- enable usage reporting
const stream = await openai.chat.completions.create({
model: "gpt-4o",
messages,
stream: true,
stream_options: { include_usage: true }, // Required!
});
// For manual tracing -- always include usage on generation end
generation.end({
output: content,
usage: {
promptTokens: response.usage?.prompt_tokens ?? 0,
completionTokens: response.usage?.completion_tokens ?? 0,
},
});
// v4+: updateActiveObservation with usage
updateActiveObservation({
output: content,
usage: { promptTokens: 100, completionTokens: 50 },
});
5. Spans Stuck "In Progress" (v3)
Symptom: Spans show as in-progress indefinitely in the dashboard.
Fix:
// Always end spans in try/finally
const span = trace.span({ name: "operation" });
try {
const result = await doWork();
span.end({ output: result });
return result;
} catch (error) {
span.end({ level: "ERROR", statusMessage: String(error) });
throw error;
}
// v4+ avoids this entirely -- startActiveObservation auto-ends
await startActiveObservation("operation", async () => {
// Span automatically ends when callback completes or throws
return await doWork();
});
6. Duplicate Traces
Symptom: Same operation creates multiple traces.
Fix:
// Use singleton pattern -- NEVER create Langfuse per request
// BAD:
app.get("/api", async (req, res) => {
const langfuse = new Langfuse(); // Creates new client per request
});
// GOOD:
const langfuse = new Langfuse(); // Single instance
app.get("/api", async (req, res) => {
const trace = langfuse.trace({ name: "api-request" });
});
7. SDK Import Errors
Error:
TypeError: langfuse.trace is not a function
Cannot find module '@langfuse/tracing'
Fix:
set -euo pipefail
# Check installed version
npm list langfuse @langfuse/client @langfuse/tracing
# v3 import
# import { Langfuse } from "langfuse";
# v4+ imports
# import { LangfuseClient } from "@langfuse/client";
# import { startActiveObservation, observe } from "@langfuse/tracing";
# Update to latest
npm install @langfuse/client@latest @langfuse/tracing@latest @langfuse/otel@latest
8. Environment Variable Not Loaded
Error:
Langfuse: Missing required configuration - publicKey
Fix:
// Load .env at the very top of your entry file
import "dotenv/config";
// Or use specific path
import { config } from "dotenv";
config({ path: ".env.local" });
// Validate on startup
if (!process.env.LANGFUSE_PUBLIC_KEY) {
throw new Error("LANGFUSE_PUBLIC_KEY not set");
}
9. Self-Hosted Connection Issues
Error:
Failed to connect to localhost:3000
Certificate verification failed
Fix:
set -euo pipefail
# Check if Langfuse container is running
docker ps | grep langfuse
# Health check
curl http://localhost:3000/api/public/health
# Common issue: trailing slash in URL
# BAD: LANGFUSE_BASE_URL=http://localhost:3000/
# GOOD: LANGFUSE_BASE_URL=http://localhost:3000
10. Rate Limiting (429)
Error:
Error: 429 Too Many Requests
Retry-After: 60
Fix:
// v3: Increase batch size to reduce API calls
const langfuse = new Langfuse({
flushAt: 50, // Batch more events
flushInterval: 30000, // Flush less often (30s)
});
// For sustained high volume, see langfuse-rate-limits skill
Quick Diagnostic Script
#!/bin/bash
set -euo pipefail
echo "=== Langfuse Diagnostics ==="
echo "Node: $(node --version 2>/dev/null || echo 'N/A')"
echo "Python: $(python3 --version 2>/dev/null || echo 'N/A')"
echo ""
# SDK versions
echo "--- Installed SDK ---"
npm list langfuse @langfuse/client @langfuse/tracing 2>/dev/null || echo "npm: not found"
pip show langfuse 2>/dev/null | grep Version || echo "pip: not found"
echo ""
# Config check
echo "--- Config ---"
echo "Public Key: ${LANGFUSE_PUBLIC_KEY:+SET (${LANGFUSE_PUBLIC_KEY:0:10}...)}"
echo "Secret Key: ${LANGFUSE_SECRET_KEY:+SET}"
echo "Base URL: ${LANGFUSE_BASE_URL:-${LANGFUSE_HOST:-default cloud}}"
echo ""
# Connectivity
HOST="${LANGFUSE_BASE_URL:-${LANGFUSE_HOST:-https://cloud.langfuse.com}}"
echo "--- Connectivity ---"
echo "Health: $(curl -s -o /dev/null -w '%{http_code}' $HOST/api/public/health)"
Escalation Path
- Run diagnostic script above
- Collect debug bundle with
langfuse-debug-bundleskill - Check Langfuse Status
- Search GitHub Issues
- Ask in Discord
Resources
When not to use it
- →Debugging non-Langfuse infrastructure issues
- →Resolving network issues unrelated to Langfuse endpoints
Prerequisites
Limitations
- →Requires access to application logs or console output
- →Diagnostic script requires Node.js or Python environment
How it compares
It centralizes troubleshooting for specific Langfuse error patterns, whereas manual debugging requires searching through general SDK documentation.
Compared to similar skills
langfuse-common-errors side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| langfuse-common-errors (this skill) | 1 | 25d | Caution | Beginner |
| langsmith-fetch | 6 | 7mo | Review | Intermediate |
| autotel | 0 | 1mo | Review | Intermediate |
| backend-telemetry-hardening | 0 | 2mo | No flags | Advanced |
Try saying
Example prompts that trigger this skill in your AI assistant.
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