Building an automated AI support email agent with LangChain and AutoSend Inbound Webhooks

Webhooks & Events
1

How to route incoming support emails to an LLM agent, parse the context, generate a draft reply, and send back via AutoSend?

2

Architecture Overview

  1. Inbound Email: Customer emails support@yourdomain.com.
  2. Webhook Trigger: AutoSend parses the email and fires an HTTP POST payload to /api/webhooks/inbound.
  3. LLM Processing: LangChain / OpenAI analyzes the customer query against your product documentation vector DB.
  4. Automated Reply: The agent drafts an answer and sends it back via AutoSend API with In-Reply-To and References headers set for thread continuity.
import { AutoSend } from 'autosend';

const autosend = new AutoSend(process.env.AUTOSEND_API_KEY);

app.post('/api/webhooks/inbound', async (req, res) => {
  const { from, subject, parsed_text, message_id } = req.body;

  const aiReply = await generateSupportResponse(parsed_text);

  await autosend.mails.send({
    from: { email: 'support@yourdomain.com', name: 'AI Support Assistant' },
    to: { email: from },
    subject: subject.startsWith('Re:') ? subject : `Re: ${subject}`,
    text: aiReply,
    headers: {
      'In-Reply-To': message_id,
      'References': message_id
    }
  });

  return res.status(200).json({ status: 'success' });
});

Relevant Documentation