Atlas / Skills / jeremylongshore / Langfuse Local Dev Loop

Langfuse Local Dev LoopSAFE

skills/jeremylongshore/langfuse-local-dev-loop

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-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
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-local-dev-loop.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 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.

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