Langfuse Webhooks Events

Langfuse Webhooks & Events

Overview

Configure Langfuse webhooks to receive notifications on prompt version changes. Langfuse supports webhook events for prompt lifecycle: Created, Updated (labels/tags changed), and Deleted. Use webhooks to trigger CI/CD pipelines, sync prompts to external systems, or notify teams via Slack.

Prerequisites

• Langfuse Cloud or self-hosted instance
• HTTPS endpoint to receive webhook POST requests
• Webhook secret for HMAC signature verification

Instructions

Step 1: Create Webhook Endpoint

// app/api/webhooks/langfuse/route.ts (Next.js App Router)
import { NextRequest, NextResponse } from "next/server";
import crypto from "crypto";

const WEBHOOK_SECRET = process.env.LANGFUSE_WEBHOOK_SECRET!;

interface LangfuseWebhookEvent {
  event: "prompt.created" | "prompt.updated" | "prompt.deleted";
  timestamp: string;
  data: {
    promptName: string;
    promptVersion: number;
    labels?: string[];
    projectId: string;
    [key: string]: any;
  };
}

// Verify HMAC SHA-256 signature
function verifySignature(payload: string, signature: string): boolean {
  const expected = crypto
    .createHmac("sha256", WEBHOOK_SECRET)
    .update(payload)
    .digest("hex");

  return crypto.timingSafeEqual(
    Buffer.from(signature),
    Buffer.from(expected)
  );
}

export async function POST(request: NextRequest) {
  const payload = await request.text();
  const signature = request.headers.get("x-langfuse-signature");

  // Verify webhook authenticity
  if (!signature || !verifySignature(payload, signature)) {
    return NextResponse.json({ error: "Invalid signature" }, { status: 401 });
  }

  const event: LangfuseWebhookEvent = JSON.parse(payload);
  console.log(`Langfuse webhook: ${event.event} - ${event.data.promptName}`);

  switch (event.event) {
    case "prompt.created":
      await handlePromptCreated(event.data);
      break;
    case "prompt.updated":
      await handlePromptUpdated(event.data);
      break;
    case "prompt.deleted":
      await handlePromptDeleted(event.data);
      break;
  }

  return NextResponse.json({ received: true });
}

async function handlePromptCreated(data: LangfuseWebhookEvent["data"]) {
  // Trigger CI/CD pipeline for new prompt version
  if (data.labels?.includes("production")) {
    await triggerPromptDeployPipeline(data.promptName, data.promptVersion);
  }

  await notifySlack({
    text: `New prompt version: *${data.promptName}* v${data.promptVersion}`,
    labels: data.labels,
  });
}

async function handlePromptUpdated(data: LangfuseWebhookEvent["data"]) {
  // Label change -- check if promoted to production
  if (data.labels?.includes("production")) {
    await notifySlack({
      text: `Prompt *${data.promptName}* v${data.promptVersion} promoted to production`,
    });
  }
}

async function handlePromptDeleted(data: LangfuseWebhookEvent["data"]) {
  await notifySlack({
    text: `Prompt *${data.promptName}* v${data.promptVersion} deleted`,
    level: "warning",
  });
}

Step 2: Configure Webhook in Langfuse

1. Navigate to Prompts > Create Automation > Webhook
2. Enter your endpoint URL: https://your-domain.com/api/webhooks/langfuse
3. Select events to watch: Created, Updated, Deleted
4. Optionally filter to specific prompts
5. Generate and save the webhook secret
6. Click Test to verify connectivity

Step 3: Slack Integration

// lib/slack-notify.ts

async function notifySlack(params: {
  text: string;
  labels?: string[];
  level?: "info" | "warning";
}) {
  const color = params.level === "warning" ? "#ff9800" : "#36a64f";

  await fetch(process.env.SLACK_WEBHOOK_URL!, {
    method: "POST",
    headers: { "Content-Type": "application/json" },
    body: JSON.stringify({
      attachments: [
        {
          color,
          blocks: [
            {
              type: "section",
              text: { type: "mrkdwn", text: params.text },
            },
            ...(params.labels
              ? [
                  {
                    type: "context",
                    elements: [
                      {
                        type: "mrkdwn",
                        text: `Labels: ${params.labels.join(", ")}`,
                      },
                    ],
                  },
                ]
              : []),
          ],
        },
      ],
    }),
  });
}

Step 4: Trigger CI/CD Pipeline on Prompt Changes

// Trigger GitHub Actions workflow when production prompt changes
async function triggerPromptDeployPipeline(promptName: string, version: number) {
  await fetch(
    `https://api.github.com/repos/${process.env.GITHUB_REPO}/dispatches`,
    {
      method: "POST",
      headers: {
        Authorization: `Bearer ${process.env.GITHUB_TOKEN}`,
        "Content-Type": "application/json",
      },
      body: JSON.stringify({
        event_type: "prompt-updated",
        client_payload: { promptName, version },
      }),
    }
  );
}

# .github/workflows/prompt-deploy.yml
name: Deploy Updated Prompt
on:
  repository_dispatch:
    types: [prompt-updated]

jobs:
  test-and-deploy:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-node@v4
        with: { node-version: "20", cache: "npm" }
      - run: npm ci

      - name: Test updated prompt
        env:
          LANGFUSE_PUBLIC_KEY: ${{ secrets.LANGFUSE_PUBLIC_KEY }}
          LANGFUSE_SECRET_KEY: ${{ secrets.LANGFUSE_SECRET_KEY }}
          OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
        run: |
          echo "Testing prompt: ${{ github.event.client_payload.promptName }}"
          npx vitest run tests/ai/prompt-quality.test.ts

Step 5: Webhook Reliability with Retry Queue

// For production: queue webhook processing to return 200 fast
import { Queue, Worker } from "bullmq";

const webhookQueue = new Queue("langfuse-webhooks", {
  connection: { host: process.env.REDIS_HOST },
});

// In webhook handler -- enqueue and respond immediately
export async function POST(request: NextRequest) {
  const payload = await request.text();
  // ... verify signature ...

  await webhookQueue.add("process", JSON.parse(payload), {
    attempts: 3,
    backoff: { type: "exponential", delay: 1000 },
  });

  return NextResponse.json({ received: true }); // Return fast
}

// Worker processes asynchronously
const worker = new Worker(
  "langfuse-webhooks",
  async (job) => {
    const event = job.data as LangfuseWebhookEvent;
    // Process event...
  },
  { connection: { host: process.env.REDIS_HOST } }
);

Webhook Event Reference

Error Handling

Output

Produce an event contract for each enabled webhook: event name, payload fields used, signature-verification boundary, idempotency key, queue policy, and downstream owner. Include an operational receipt showing that the endpoint acknowledges valid deliveries quickly and rejects invalid signatures without processing the payload.

Examples

For prompt.updated, verify the signature before parsing the payload, derive a stable key from the event identifier, enqueue that key with the prompt name, and return a success response. The worker then fetches the approved prompt version, runs the relevant regression test, and records the resulting deployment decision. A duplicate delivery sees the existing idempotency key and does not repeat the deployment.

Resources

• Langfuse Webhooks
• Prompt Version Webhooks Changelog
• GitHub Integration