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config.yml

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+server:
+  address: ":3000"
+  name: "customer-server"
+
+
+jwt:
+  secret: "abcdefghijklmnopqrstuvwxyz"
+
+rate:
+  limit: 200
+  burst: 300
+
+# --- 华为云服务器（116.204.74.41:17027，带认证） ---
+#mongo:
+#  default:
+#    address: "mongodb://root:M0ng0DB%40Pass2026%21@116.204.74.41:17027?authSource=admin"
+#    database: "customer_service"
+#  logger:
+#    level: "all"
+#    stdout: true
+
+# --- 内网服务器（192.168.3.200:27017，无认证） ---
+mongo:
+  default:
+    address: "mongodb://192.168.3.200:27017/?directConnection=true"
+    database: "customer_service"
+  logger:
+    level: "all"
+    stdout: true
+
+redis:
+  default:
+    address: 116.204.74.41:6379
+    db: 0
+    idleTimeout: "60s"
+    maxConnLifetime: "90s"
+    waitTimeout: "60s"
+    dialTimeout: "30s"
+    readTimeout: "30s"
+    writeTimeout: "30s"
+    maxActive: 100
+
+consul:
+  address: 116.204.74.41:8500
+
+rabbitmq:
+  host: 116.204.74.41
+  port: 5672
+  username: root
+  password: root
+  # 响应队列配置（从message迁移）
+  responseExchange: "ragflow.response"
+  responseQueue: "ragflow.response.queue"
+  responseRoutingKey: "#"  # 匹配所有routing key
+  # 不配置instanceName，直接使用os.Hostname()获取容器名/主机名作为实例ID
+
+jaeger:
+  addr: 116.204.74.41:4318
+
+# RAGFlow配置（customerservice只需要base_url和api_key用于更新prompt接口）
+ragflow:
+  base_url: "http://116.204.74.41"
+  api_key: "ragflow-tg4BrmCIDXbZDB80JGyq1cDNFyr2_kfAEd053YuDV58"
+  default_model: "qwen3-235b-a22b-instruct-2507"  # 默认LLM模型，可通过Consul动态覆盖
+  embedding_model: "text-embedding-v4@Tongyi-Qianwen"  # embedding模型，创建知识库时使用（格式：model@factory）
+
+followUp:
+  enable: true
+  queue: "followup.queue"
+  exchange: "followup.delayed"
+  routingKey: "followup"
+  delays: [30, 60, 180]  # 三次追问延时（秒）：第一次30s，第二次60s，第三次180s
+  contents:
+    - "还有其他问题吗？"
+    - "如果需要帮助，随时告诉我～"
+    - "我一直在线，有问题随时找我～"
+
+archive:
+  enable: true
+  queue: "archive.queue"
+  exchange: "archive.delayed"
+  routingKey: "archive"
+  delay: 3600  # 归档延时（秒），默认1小时
+  # 月度归档配置
+  enabled: true                    # 是否启用月度归档
+  cron: "0 0 0 1 * *"             # 每月1号0点执行（归档上个月整月数据）
+  mongoBatchSize: 1000             # 从原表复制到临时表的批量大小
+  esBatchSize: 500                 # 从临时表写入 ES 的批量大小
+  testMode: true                   # 测试模式：true=归档最近7天，false=归档上个月（生产环境设为false）
+
+# 卡片触发配置
+card:
+  triggerCount: 5                  # 触发发送卡片的对话轮数（对话>=此值时触发）
+
+# 历史上下文配置
+history:
+  contextLimit: 5                  # 读取历史对话轮数（用于新Session上下文注入）
+
+# Elasticsearch 配置
+elasticsearch:
+  addresses:
+    - "http://116.204.74.41:9200"
+  username: ""
+  password: ""
+
+database:
+  logger:
+    level: "none"    # 关闭数据库日志
+    stdout: false