Langfuse Local Dev LoopSAFE
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 · 2026-10-09Host 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-local-dev-loop description: 'Set up Langfuse local development workflow with hot reload and debugging. Use when developing LLM applications locally, debugging traces, or setting up a fast iteration loop with Langfuse. Trigger with phrases like "langfuse local dev", "langfuse development", "debug langfuse traces", "langfuse hot reload", "langfuse dev workflow". ' allowed-tools: Read, Write, Edit, Bash(npm:*), Bash(docker:*), Bash(pnpm:*) version: 1.17.0 license: MIT author: Jeremy Longshore <[email protected]> tags: - saas - langfuse - llm - debugging - workflow compatibility: Designed for Claude Code --- # Langfuse Local Dev Loop ## Overview Fast local development workflow with Langfuse tracing, immediate trace visibility, debug logging, and optional self-hosted local instance via Docker. ## Prerequisites - Completed `langfuse-install-auth` setup - Node.js 18+ with `tsx` for hot reload (`npm install -D tsx`) - Docker (optional, for self-hosted local instance) ## Instructions ### Step 1: Development Environment File ```bash # .env.local (git-ignored) LANGFUSE_PUBLIC_KEY=pk-lf-dev-... LANGFUSE_SECRET_KEY=sk-lf-dev-... LANGFUSE_BASE_URL=https://cloud.langfuse.com # Dev-specific settings NODE_ENV=development OPENAI_API_KEY=sk-... ``` ### Step 2: Dev-Optimized Langfuse Setup (v4+) ```typescript // src/lib/langfuse-dev.ts import { LangfuseSpanProcessor } from "@langfuse/otel"; import { NodeSDK } from "@opentelemetry/sdk-node"; import { LangfuseClient } from "@langfuse/client"; const isDev = process.env.NODE_ENV !== "production"; // Configure span processor with dev-friendly settings const processor = new LangfuseSpanProcessor({ // In dev: flush immediately for instant visibility ...(isDev && { exportIntervalMillis: 1000, maxExportBatchSize: 1 }), }); const sdk = new NodeSDK({ spanProcessors: [processor] }); sdk.start(); export const langfuse = new LangfuseClient(); // Print trace URLs in development export function logTrace(traceId: string) { if (isDev) { const host = process.env.LANGFUSE_BASE_URL || "https://cloud.langfuse.com"; console.log(`\n Trace: ${host}/trace/${traceId}\n`); } } // Clean shutdown process.on("SIGINT", async () => { await sdk.shutdown(); process.exit(0); }); ``` ### Step 3: Dev-Optimized Setup (v3 Legacy) ```typescript // src/lib/langfuse-dev.ts import { Langfuse } from "langfuse"; const isDev = process.env.NODE_ENV !== "production"; export const langfuse = new Langfuse({ flushAt: isDev ? 1 : 15, // Immediate flush in dev flushInterval: isDev ? 1000 : 10000, ...(isDev && { debug: true }), // Verbose SDK logging }); export function logTraceUrl(trace: ReturnType<typeof langfuse.trace>) { if (isDev) { console.log(`\n Trace: ${trace.getTraceUrl()}\n`); } } process.on("beforeExit", async () => { await langfuse.shutdownAsync(); }); ``` ### Step 4: Hot Reload Scripts ```json { "scripts": { "dev": "tsx watch --env-file=.env.local src/index.ts", "dev:debug": "DEBUG=langfuse* tsx watch --env-file=.env.local src/index.ts", "dev:trace": "LANGFUSE_DEBUG=true tsx watch --env-file=.env.local src/index.ts" } } ``` ### Step 5: Development Tracing Utilities ```typescript // src/lib/dev-utils.ts import { observe, updateActiveObservation, startActiveObservation } from "@langfuse/tracing"; // Quick traced function wrapper with console output export function devTrace<T extends (...args: any[]) => Promise<any>>( name: string, fn: T ): T { return observe({ name }, async (...args: Parameters<T>) => { updateActiveObservation({ input: args, metadata: { env: "dev" } }); const start = Date.now(); const result = await fn(...args); const duration = Date.now() - start; updateActiveObservation({ output: result }); console.log(` [${name}] ${duration}ms`); return result; }) as T; } // Quick debug trace -- fire-and-forget diagnostic trace export async function debugTrace(name: string, data: Record<string, any>) { await startActiveObservation(`debug/${name}`, async () => { updateActiveObservation({ input: data, metadata: { debug: true, timestamp: new Date().toISOString() }, }); }); } ``` ### Step 6: Example Dev Workflow ```typescript // src/index.ts import "dotenv/config"; import { initTracing, langfuse } from "./lib/langfuse-dev"; import { devTrace } from "./lib/dev-utils"; import OpenAI from "openai"; import { observeOpenAI } from "@langfuse/openai"; initTracing(); const openai = observeOpenAI(new OpenAI()); const askQuestion = devTrace("ask-question", async (question: string) => { const response = await openai.chat.completions.create({ model: "gpt-4o-mini", messages: [{ role: "user", content: question }], }); return response.choices[0].message.content; }); // Run on file save (tsx watch restarts automatically) const answer = await askQuestion("What is Langfuse?"); console.log("Answer:", answer); ``` ## Local Self-Hosted Langfuse (Optional) For offline development or data privacy: ```yaml # docker-compose.langfuse.yml services: langfuse: image: langfuse/langfuse:latest ports: - "3000:3000" environment: - DATABASE_URL=${DATABASE_URL} - NEXTAUTH_SECRET=${NEXTAUTH_SECRET} - NEXTAUTH_URL=http://localhost:3000 - SALT=${SALT} - ENCRYPTION_KEY=${ENCRYPTION_KEY} depends_on: - db db: image: postgres:16-alpine environment: POSTGRES_USER: postgres POSTGRES_PASSWORD: ${POSTGRES_PASSWORD} POSTGRES_DB: langfuse volumes: - langfuse-db:/var/lib/postgresql/data volumes: langfuse-db: ``` Before starting the stack, place unique local-only values for `DATABASE_URL`, `POSTGRES_PASSWORD`, `NEXTAUTH_SECRET`, `SALT`, and `ENCRYPTION_KEY` in a git-ignored `.env` file. Do not commit a database URI or reuse example or production values. ```bash set -euo pipefail # Start local Langfuse docker compose -f docker-c
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.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | PASS |
| L2 | Instruction surface (what it tells the agent) | PASS |
| 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 (0)
No findings outside the package's declared scope.
Gates applied: no_behavioural_pass.
4f83675ca38afull audit observations/trust-audit/skill/jeremylongshore__langfuse-local-dev-loop.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 | SAFE | B | 89 | first audit |
Questions
What does the Langfuse Local Dev Loop 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 Local Dev Loop 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 Local Dev Loop access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
Which assistants does Langfuse Local Dev Loop 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.