技能 编程开发 Webhook触发智能摘要通知助手

Webhook触发智能摘要通知助手

v20260423
lindy-hello-world
本教程指导用户创建第一个AI Agent,演示了完整的自动化工作流。它接收外部Webhook数据,利用大模型进行核心信息摘要,并将摘要自动发布到Slack或发送邮件。适用于初学者学习AI Agent架构、测试数据流转或实现简单的系统通知功能。
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概览

Lindy Hello World

Overview

Build a minimal Lindy AI agent: Webhook Received trigger -> LLM processing -> Slack notification. Demonstrates the three core building blocks every Lindy agent uses: Trigger, Agent Step (prompt + model + skills), and Action.

Prerequisites

  • Lindy account at https://app.lindy.ai
  • Slack workspace connected (or Gmail for email variant)
  • Completed lindy-install-auth setup

Instructions

Step 1: Create Agent via Dashboard

  1. Click "New Agent" at https://app.lindy.ai
  2. In the prompt field ("How can I help you?"), type:
    When I send a webhook, summarize the message and post it to Slack
    
  3. Agent Builder auto-generates the workflow with trigger + action nodes

Step 2: Configure the Webhook Trigger

  1. Click the trigger node at the top of the workflow canvas
  2. Select Webhook Received
  3. Copy the generated URL:
    https://public.lindy.ai/api/v1/webhooks/<unique-id>
    
  4. Click Generate Secret — copy immediately (shown once)

Step 3: Add the Slack Action

  1. Click "+" to add a step
  2. Search for Slack Send Channel Message
  3. Authorize your Slack workspace when prompted
  4. Configure fields:
    • Channel: #general (or test channel)
    • Message field mode: AI Prompt
    • Instruction:
      Summarize the webhook payload in one sentence.
      Payload: {{webhook_received.request.body}}
      

Step 4: Set the Agent Prompt

Open Settings > Prompt:

You are a webhook summarizer. When you receive a webhook payload,
extract the key information and create a concise one-sentence summary.
Be factual and specific. Do not add opinions or speculation.

Step 5: Test It

curl -X POST "https://public.lindy.ai/api/v1/webhooks/YOUR_ID" \
  -H "Authorization: Bearer YOUR_SECRET" \
  -H "Content-Type: application/json" \
  -d '{
    "event": "order.created",
    "customer": "Jane Doe",
    "amount": 149.99,
    "items": ["Widget Pro", "Adapter Cable"]
  }'

Expected Slack message:

Jane Doe placed a $149.99 order for Widget Pro and Adapter Cable.

Step 6: Verify in Dashboard

Navigate to the Tasks tab in your agent view. Confirm status shows Completed. Click into the task to see each step's input/output for debugging.

Agent Anatomy

Component Purpose Hello World Value
Prompt Core behavioral instructions "Summarize webhook payloads"
Model AI engine powering decisions Default (GPT-4 / Claude / Gemini)
Skills Available actions & tools Slack Send Channel Message
Exit Conditions When the task is "done" Message sent successfully

Webhook Data Variables

Variable Contents
{{webhook_received.request.body}} Full JSON payload
{{webhook_received.request.headers}} HTTP request headers
{{webhook_received.request.query}} URL query parameters

Field Configuration Modes

Mode Behavior Credit Cost
Auto Agent determines value from context Standard
AI Prompt Natural language instructions generate content Standard
Set Manually Exact value, no AI processing Lower

Variant: Email Instead of Slack

Replace the Slack action with Gmail Send Email:

  • To: Set manually or reference a webhook field
  • Subject: AI Prompt — "Summary: {{webhook_received.request.body.event}}"
  • Body: AI Prompt — "Summarize this event: {{webhook_received.request.body}}"

Error Handling

Issue Cause Solution
Webhook returns 401 Missing Authorization header Add Bearer <secret> header
Slack message not sent Channel not authorized Re-authorize Slack in Lindy
Task shows "Failed" Action misconfigured Check field references in step config
No task created Agent not active Publish/activate the agent
Empty summary Payload not reaching LLM Verify {{webhook_received.request.body}} reference

Cost

~1-3 credits per invocation on basic models. Free tier (400 credits/month) supports ~130-400 test runs per month.

Resources

Next Steps

Proceed to lindy-core-workflow-a for a full multi-step agent workflow.

信息
Category 编程开发
Name lindy-hello-world
版本 v20260423
大小 3.73KB
更新时间 2026-04-28
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