AI Email Agent

LLM驱动的电商客服智能邮件自动回复系统

LLM 驱动的电商客服智能邮件自动回复系统。自动分类、情感检测、智能回复、紧急升级、多语言支持。

Quick Start

bash

# Install dependencies
pip install -r {baseDir}/requirements.txt

# Demo mode — process 5 sample emails
python3 {baseDir}/main.py demo

# Run agent loop (requires IMAP/SMTP config)
python3 {baseDir}/main.py run

# Start monitoring dashboard
python3 {baseDir}/main.py dashboard

Configuration

Edit {baseDir}/config.yaml and set environment variables:

bash

export LLM_API_KEY="sk-your-key"
export IMAP_PASSWORD="your-imap-password"
export SMTP_PASSWORD="your-smtp-password"

Features

Module	Description
Smart Classification	LLM-powered 5-category routing
Sentiment Detection	5-level sentiment + urgency scoring
Auto Reply	Multi-template + variable rendering
Escalation	10 trigger rules + WeCom/Feishu notifications
Multi-language	P0-P3 tiered strategy for 8+ languages
Knowledge Base	Keyword RAG for consultation enhancement
Dashboard	Real-time Web monitoring with Chart.js

Decision Matrix

text

               Urgency →
Sentiment↓     1(Low)  2(Normal) 3(Medium) 4(High)  5(Critical)
S0 Positive    Auto    Auto      Auto      Auto+CC   Auto+CC
S1 Neutral     Auto    Auto      Auto      Semi      Semi
S2 Negative    Auto+   Auto+     Semi      Human     Human
S3 Angry       Semi    Semi      Human     Human     Human+Legal

Commands

Command	Description
python3 {baseDir}/main.py demo	Demo with 5 sample emails
python3 {baseDir}/main.py run	Continuous agent loop
python3 {baseDir}/main.py once	Single fetch & process
python3 {baseDir}/main.py dashboard	Web dashboard (:8080)
python3 {baseDir}/main.py stats	Ticket statistics
python3 {baseDir}/main.py test-send <email>	Test SMTP config