Langfuse Common ErrorsCAUTION
Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com.
Overview
Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com.
4f83675ca38aOBSERVED · 2026-10-09Install
Commands as the repository documents them. They are shown, not run.
npm install @langfuse/client@latest @langfuse/tracing@latest @langfuse/otel@latest
Host compatibility
What the documentation claims. We have not run a compatibility test.
| Host | Status | Notes |
|---|---|---|
| claude-code | mentioned |
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-common-errors description: 'Diagnose and fix common Langfuse errors and exceptions. Use when encountering Langfuse errors, debugging missing traces, or troubleshooting integration issues. Trigger with phrases like "langfuse error", "fix langfuse", "langfuse not working", "debug langfuse", "traces not appearing". ' allowed-tools: Read, Grep, Bash(curl:*) version: 1.17.0 license: MIT author: Jeremy Longshore <[email protected]> tags: - saas - langfuse - debugging compatibility: Designed for Claude Code --- # 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:** ```bash 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):** 1. Data not flushed before process exits 2. Wrong project keys (traces going to different project) 3. Dashboard filter hiding traces **Fix:** ```typescript // 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:** ```bash 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 ``` ```typescript // 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:** ```typescript // 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:** ```typescript // 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:** ```typescript // 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:** ```bash 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:** ```typescript // 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:** ```bash 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
Trust audit
CAUTIONgrade B · trust 89/100 Install with care. The audit found things worth knowing before you trust its output.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | PASS |
| L2 | Instruction surface (what it tells the agent) | FAIL |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (1)
// Load .env at the very top of your entry file
Gates applied: no_behavioural_pass.
4f83675ca38afull audit observations/trust-audit/skill/jeremylongshore__langfuse-common-errors.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-09 | 4f83675ca38a | CAUTION | B | 89 | first audit |
Questions
What does the Langfuse Common Errors 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 Common Errors safe to install?
With care. The audit graded it B (89/100) and found 1 thing worth knowing before you trust this skill, listed below with the exact line each was found on.
What can Langfuse Common Errors access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
Which assistants does Langfuse Common Errors 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.