Files
smartmate/backend/config.example.yaml
Losita 61db646805 Version: 0.9.80.dev.260506
后端:
1. LLM 独立服务与统一计费出口落地:新增 `cmd/llm`、`client/llm` 与 `services/llm/rpc`,补齐 BillingContext、CreditBalanceGuard、价格规则解析、stream usage 归集与 `credit.charge.requested` outbox 发布,active-scheduler / agent / course / memory / gateway fallback 全部改走 llm zrpc,不再各自本地初始化模型。
2. TokenStore 收口为 Credit 权威账本:新增 credit account / ledger / product / order / price-rule / reward-rule 能力与 Redis 快照缓存,扩展 tokenstore rpc/client 支撑余额快照、消耗看板、商品、订单、流水、价格规则和奖励规则,并接入 LLM charge 事件消费完成 Credit 扣费落账。
3. 计费旧链路下线与网关切口切换:`/token-store` 语义整体切到 `/credit-store`,agent chat 移除旧 TokenQuotaGuard,userauth 的 CheckTokenQuota / AdjustTokenUsage 改为废弃,聊天历史落库不再同步旧 token 额度账本,course 图片解析请求补 user_id 进入新计费口径。

前端:
4. 计划广场从 mock 数据切到真实接口:新增 forum api/types,首页支持真实列表、标签、搜索、防抖、点赞、导入和发布计划,详情页补齐帖子详情、评论树、回复和删除评论链路,同时补上“至少一个标签”的前后端约束与默认标签兜底。
5. 商店页切到 Credit 体系并重做展示:顶部改为余额 + Credit/Token 消耗看板,支持 24h/7d/30d/all 周期切换;套餐区展示原价与当前价;历史区改为当前用户 Credit 流水并支持查看更多,整体视觉和交互同步收口。

仓库:
6. 配置与本地启动体系补齐 llm / outbox 编排:`config.example.yaml` 增加 llm rpc 和统一 outbox service 配置,`dev-common.ps1` 把 llm 纳入多服务依赖并自动建 Kafka topic,`docker-compose.yml` 同步初始化 agent/task/memory/active-scheduler/notification/taskclass-forum/llm/token-store 全量 outbox topic。
2026-05-06 20:16:53 +08:00

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5.7 KiB
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
# 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: ""