smartmate/backend/config.example.yaml

# SmartFlow 后端配置示例
#
# 说明：
# 1. 请复制为 config.yaml 后按实际环境填写。
# 2. 本示例只保留当前代码仍会读取的配置项，避免示例与运行配置持续漂移。

# 服务启动配置。
server:
  port: 8080

# MySQL 主库配置。
database:
  host: localhost
  port: 3306
  user: smartflow_user
  password: "put_your_database_password_here"
  dbname: "put_your_database_name_here"

# 登录态与鉴权令牌配置。
jwt:
  accessSecret: "put_your_jwt_access_secret_here"
  refreshSecret: "put_your_jwt_refresh_secret_here"
  accessTokenExpire: 15min
  refreshTokenExpire: 7d

# 极验行为验证配置。
geetest:
  captchaID: "put_your_geetest_captcha_id_here"
  privateKey: "put_your_geetest_private_key_here"

# Redis 配置。
redis:
  host: localhost
  port: 6379
  password: ""

# user/auth zrpc 独立服务与网关客户端配置。
userauth:
  rpc:
    listenOn: "0.0.0.0:9081"
    endpoints:
      - "127.0.0.1:9081"
    timeout: 2s

# 计划广场 zrpc 独立服务与网关客户端配置。
taskclassforum:
  rpc:
    listenOn: "0.0.0.0:9090"
    endpoints:
      - "127.0.0.1:9090"
    timeout: 2s

# Token 商店 zrpc 独立服务与网关客户端配置。
tokenstore:
  reward:
    forumLikeAmount: 1
    forumImportAmount: 5
  rpc:
    listenOn: "0.0.0.0:9095"
    endpoints:
      - "127.0.0.1:9095"
    timeout: 2s

# LLM zrpc 独立服务与各业务服务客户端配置。
llm:
  rpc:
    listenOn: "0.0.0.0:9096"
    endpoints:
      - "127.0.0.1:9096"
    timeout: 0s

# Kafka outbox 事件总线配置。
kafka:
  enabled: true
  brokers:
    - "localhost:9092"
  topic: "smartflow.agent.outbox"
  groupID: "smartflow-agent-outbox-consumer"
  retryScanInterval: 1s
  retryBatchSize: 100
  maxRetry: 20

outbox:
  services:
    agent:
      topic: "smartflow.agent.outbox"
      groupID: "smartflow-agent-outbox-consumer"
      table: "agent_outbox_messages"
    task:
      topic: "smartflow.task.outbox"
      groupID: "smartflow-task-outbox-consumer"
      table: "task_outbox_messages"
    memory:
      topic: "smartflow.memory.outbox"
      groupID: "smartflow-memory-outbox-consumer"
      table: "memory_outbox_messages"
    active-scheduler:
      topic: "smartflow.active-scheduler.outbox"
      groupID: "smartflow-active-scheduler-outbox-consumer"
      table: "active_scheduler_outbox_messages"
    notification:
      topic: "smartflow.notification.outbox"
      groupID: "smartflow-notification-outbox-consumer"
      table: "notification_outbox_messages"
    taskclass-forum:
      topic: "smartflow.taskclass-forum.outbox"
      groupID: "smartflow-taskclass-forum-outbox-consumer"
      table: "taskclass_forum_outbox_messages"
    llm:
      topic: "smartflow.llm.outbox"
      groupID: "smartflow-llm-outbox-consumer"
      table: "llm_outbox_messages"
    token-store:
      topic: "smartflow.token-store.outbox"
      groupID: "smartflow-token-store-outbox-consumer"
      table: "token_store_outbox_messages"

# 通知投递配置。
notification:
  rpc:
    listenOn: "0.0.0.0:9082"
    endpoints:
      - "127.0.0.1:9082"
    timeout: 6s
  frontendBaseURL: "http://localhost:5173"
  retryScanEvery: 1m
  retryBatchSize: 50

# 日程服务配置。
schedule:
  rpc:
    listenOn: "0.0.0.0:9084"
    endpoints:
      - "127.0.0.1:9084"
    timeout: 6s

# 任务服务配置。
task:
  rpc:
    listenOn: "0.0.0.0:9085"
    endpoints:
      - "127.0.0.1:9085"
    timeout: 6s

# 任务类服务配置。
taskClass:
  rpc:
    listenOn: "0.0.0.0:9086"
    endpoints:
      - "127.0.0.1:9086"
    timeout: 6s

# 课程服务配置。
course:
  rpc:
    listenOn: "0.0.0.0:9087"
    endpoints:
      - "127.0.0.1:9087"
    timeout: 5m

# 主动调度服务配置。
activeScheduler:
  rpc:
    listenOn: "0.0.0.0:9083"
    endpoints:
      - "127.0.0.1:9083"
    timeout: 8s
  jobScanEvery: 1m
  jobScanLimit: 50

# 时间与学期边界配置。
time:
  zone: "Asia/Shanghai"
  semesterStartDate: "2026-03-02"
  semesterEndDate: "2026-07-19"

# 智能体模型配置。
agent:
  rpc:
    listenOn: "0.0.0.0:9089"
    endpoints:
      - "127.0.0.1:9089"
    timeout: 0s
    chat:
      enabled: true
    api:
      enabled: true
  liteModel: "doubao-seed-2-0-code-preview-260215"
  proModel: "doubao-seed-2-0-code-preview-260215"
  maxModel: "doubao-seed-2-0-code-preview-260215"
  baseURL: "https://ark.cn-beijing.volces.com/api/v3"
  thinking:
    plan: true
    execute: true
    deliver: false
    memory: false

# 课表图片导入识别配置。
courseImport:
  visionModel: ""
  maxImageBytes: 5242880
  maxTokens: 8192

# 通用 RAG 配置。
rag:
  enabled: true
  store: "milvus"
  topK: 8
  threshold: 0.55
  retrieve:
    timeoutMs: 1500
  ingest:
    chunkSize: 400
    chunkOverlap: 80
  embed:
    provider: "eino"
    model: "doubao-embedding-vision-251215"
    baseURL: "https://ark.cn-beijing.volces.com/api/v3"
    timeoutMs: 1200
    dimension: 1024
  reranker:
    enabled: false
    provider: "noop"
    timeoutMs: 1200
  milvus:
    address: "http://localhost:19530"
    token: "root:Milvus"
    dbName: ""
    collectionName: "smartflow_rag_chunks"
    metricType: "COSINE"
    requestTimeoutMs: 1500

# 记忆模块配置。
memory:
  rpc:
    listenOn: "0.0.0.0:9088"
    endpoints:
      - "127.0.0.1:9088"
    timeout: 6s
  enabled: true
  rag:
    enabled: true
  read:
    mode: legacy
    constraintLimit: 5
    preferenceLimit: 5
    factLimit: 5
  inject:
    renderMode: flat
  prompt:
    extract: ""
    decision: ""
  threshold: 0.55
  enableReranker: false
  llm:
    temperature: 0.1
    topP: 0.2
  job:
    maxRetry: 6
  worker:
    pollEvery: 2s
    claimBatch: 1
  decision:
    enabled: true
    candidateTopK: 5
    candidateMinScore: 0.6
    fallbackMode: legacy_add
  write:
    mode: legacy
    minConfidence: 0.5

# 联网搜索能力配置。
websearch:
  provider: bocha
  apiKey: ""