langfuse-data-handling

name	langfuse-data-handling
description	Manage Langfuse data export, retention, and compliance requirements. Use when exporting trace data, configuring retention policies, or implementing data compliance for LLM observability. Trigger with phrases like "langfuse data export", "langfuse retention", "langfuse GDPR", "langfuse compliance", "export langfuse traces".
allowed-tools	Read, Write, Edit
version	1.12.0
license	MIT
author	Jeremy Longshore <[e-mail]>
tags	["saas","langfuse","observability","llm","compliance"]
compatibility	Designed for Claude Code

Langfuse Data Handling

Overview

Manage the Langfuse data lifecycle: export traces and scores via the API, configure retention policies, handle GDPR data subject requests, anonymize data for analytics, and maintain audit trails.

Prerequisites

• @langfuse/client installed
• Langfuse API keys with appropriate permissions
• Understanding of your compliance requirements (GDPR, SOC2, HIPAA)

Instructions

Step 1: Export Trace Data via API

import { LangfuseClient } from "@langfuse/client";
import { writeFileSync } from "fs";

const langfuse = new LangfuseClient();

async function exportTraces(options: {
  fromDate: string;
  toDate: string;
  outputFile: string;
  includeObservations?: boolean;
}) {
  const allTraces: any[] = [];
  let page = 1;
  let hasMore = true;

  while (hasMore) {
    const result = await langfuse.api.traces.list({
      fromTimestamp: options.fromDate,
      toTimestamp: options.toDate,
      limit: 100,
      page,
    });

    for (const trace of result.) {
       :  = {
        : trace.,
        : trace.,
        : trace.,
        : trace.,
        : trace.,
        : trace.,
        : trace.,
      };

       (options.) {
         observations =  langfuse...({
          : trace.,
        });
        exportItem. = observations.;
      }

      allTraces.(exportItem);
    }

    hasMore = result.. === ;
    page++;

    
      ( (r, ));
  }

  (options., .(allTraces, , ));
  .();
}


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