micsapp Langfuse Common Errors
Overview
Quick reference for the top 10 most common Langfuse errors and their solutions.
Prerequisites
- Langfuse SDK installed
- API credentials configured
- Access to error logs
Instructions
Step 1: Identify the Error
Check error message and code in your logs or console.
Step 2: Find Matching Error Below
Match your error to one of the documented cases.
Step 3: Apply Solution
Follow the solution steps for your specific error.
Output
- Identified error cause
- Applied fix
- Verified resolution
Error Handling
1. Authentication Failed
Error Message:
Langfuse: Unauthorized - Invalid API key
Error: 401 Unauthorized # HTTP 401 Unauthorized
Cause: API key is missing, expired, or mismatched with host.
Solution:
set -euo pipefail
# Verify environment variables are set
echo "Public: $LANGFUSE_PUBLIC_KEY"
echo "Secret: ${LANGFUSE_SECRET_KEY:0:10}..." # Partial for security
echo "Host: $LANGFUSE_HOST"
# Test connection
curl -X GET "$LANGFUSE_HOST/api/public/health" \
-H "Authorization: Basic $(echo -n "$LANGFUSE_PUBLIC_KEY:$LANGFUSE_SECRET_KEY" | base64)"
2. Traces Not Appearing in Dashboard
Symptom: Code runs without errors but traces don't show up.
Cause: Data not flushed before process exits.
Solution:
// Always flush before exit
await langfuse.flushAsync();
// Or use shutdown for clean exit
await langfuse.shutdownAsync();
// Register shutdown handler
process.on("beforeExit", async () => {
await langfuse.shutdownAsync();
});
3. Network/Connection Errors
Error Message:
FetchError: request to https://cloud.langfuse.com failed
ECONNREFUSED / ETIMEDOUT
Cause: Network connectivity or firewall issues.
Solution:
set -euo pipefail
# Test connectivity
curl -v https://cloud.langfuse.com/api/public/health
# Check DNS resolution
nslookup cloud.langfuse.com
# For self-hosted, verify host URL
curl -v $LANGFUSE_HOST/api/public/health
// Increase timeout if needed
const langfuse = new Langfuse({
requestTimeout: 30000, // 30 seconds # 30000: 30 seconds in ms
});
4. Missing Token Usage
Symptom: Generations appear but token counts are 0.
Cause: Usage data not captured from LLM response.
Solution:
// For streaming, enable usage in options
const stream = await openai.chat.completions.create({
model: "gpt-4",
messages,
stream: true,
stream_options: { include_usage: true }, // Important!
});
// Manually add usage if not available
generation.end({
output: content,
usage: {
promptTokens: response.usage?.prompt_tokens || 0,
completionTokens: response.usage?.completion_tokens || 0,
},
});
5. Trace/Span Not Ending
Symptom: Traces show as "in progress" indefinitely.
Cause: Missing .end() call on spans/generations.
Solution:
// Always end 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;
}
// Or use finally
const span = trace.span({ name: "operation" });
try {
return await doWork();
} finally {
span.end();
}
6. Duplicate Traces
Symptom: Same operation creates multiple traces.
Cause: Client instantiated multiple times or missing singleton.
Solution:
// Use singleton pattern
let langfuseInstance: Langfuse | null = null;
export function getLangfuse(): Langfuse {
if (!langfuseInstance) {
langfuseInstance = new Langfuse();
}
return langfuseInstance;
}
// Don't create new instance per request
// BAD: const langfuse = new Langfuse(); // in handler
// GOOD: const langfuse = getLangfuse();
7. SDK Version Mismatch
Error Message:
TypeError: langfuse.trace is not a function
Property 'observeOpenAI' does not exist
Cause: Outdated SDK or breaking API change.
Solution:
set -euo pipefail
# Check current version
npm list langfuse
# Update to latest
npm install langfuse@latest
# Check changelog for breaking changes
# https://github.com/langfuse/langfuse-js/releases
8. Environment Variable Not Loaded
Error Message:
Langfuse: Missing required configuration - publicKey
Cause: .env file not loaded or wrong variable names.
Solution:
# Verify .env file exists and has correct names
cat .env | grep LANGFUSE
# Required variable names:
# LANGFUSE_PUBLIC_KEY=pk-lf-...
# LANGFUSE_SECRET_KEY=sk-lf-...
# LANGFUSE_HOST=https://cloud.langfuse.com
// Load .env in your app
import "dotenv/config"; // At top of entry file
// Or specify env file
import { config } from "dotenv";
config({ path: ".env.local" });
9. Self-Hosted Connection Issues
Error Message:
Failed to connect to localhost:3000 # 3000: 3 seconds in ms
Certificate verification failed
Cause: Self-hosted instance not running or SSL issues.
Solution:
set -euo pipefail
# Check if Langfuse is running
docker ps | grep langfuse
curl http://localhost:3000/api/public/health # 3000: 3 seconds in ms
# For HTTPS without valid cert
export NODE_TLS_REJECT_UNAUTHORIZED=0 # Development only!
// Verify host URL doesn't have trailing slash
const langfuse = new Langfuse({
baseUrl: "http://localhost:3000", // No trailing slash # 3000: 3 seconds in ms
});
10. Rate Limiting
Error Message:
Error: 429 Too Many Requests # HTTP 429 Too Many Requests
Retry-After: 60
Cause: Exceeded Langfuse API rate limits.
Solution:
// Increase batch size to reduce requests
const langfuse = new Langfuse({
flushAt: 50, // Batch more events
flushInterval: 30000, // Flush less often # 30000: 30 seconds in ms
});
// See langfuse-rate-limits skill for advanced handling
Quick Diagnostic Commands
set -euo pipefail
# Check Langfuse cloud status
curl -s https://status.langfuse.com
# Verify API connectivity
curl -I https://cloud.langfuse.com/api/public/health
# Check local environment
env | grep LANGFUSE
# Test auth
curl -X GET "https://cloud.langfuse.com/api/public/traces" \
-H "Authorization: Basic $(echo -n "$LANGFUSE_PUBLIC_KEY:$LANGFUSE_SECRET_KEY" | base64)" \
| head -c 200 # HTTP 200 OK
Escalation Path
- Collect evidence with
langfuse-debug-bundle - Check Langfuse Status
- Search GitHub Issues
- Join Discord Community
- Contact support with debug bundle
Resources
Next Steps
For comprehensive debugging, see langfuse-debug-bundle.
Examples
Basic usage: Apply langfuse common errors to a standard project setup with default configuration options.
Advanced scenario: Customize langfuse common errors for production environments with multiple constraints and team-specific requirements.