61db646805
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。
271 lines
5.7 KiB
YAML
271 lines
5.7 KiB
YAML
# SmartFlow 后端配置示例
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#
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# 说明：
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# 1. 请复制为 config.yaml 后按实际环境填写。
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# 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。
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# 服务启动配置。
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server:
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port: 8080
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# MySQL 主库配置。
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database:
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host: localhost
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port: 3306
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user: smartflow_user
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password: "put_your_database_password_here"
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dbname: "put_your_database_name_here"
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# 登录态与鉴权令牌配置。
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jwt:
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accessSecret: "put_your_jwt_access_secret_here"
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refreshSecret: "put_your_jwt_refresh_secret_here"
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accessTokenExpire: 15min
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refreshTokenExpire: 7d
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# Redis 配置。
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redis:
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host: localhost
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port: 6379
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password: ""
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# user/auth zrpc 独立服务与网关客户端配置。
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userauth:
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rpc:
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listenOn: "0.0.0.0:9081"
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endpoints:
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- "127.0.0.1:9081"
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timeout: 2s
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# 计划广场 zrpc 独立服务与网关客户端配置。
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taskclassforum:
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rpc:
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listenOn: "0.0.0.0:9090"
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endpoints:
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- "127.0.0.1:9090"
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timeout: 2s
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# Token 商店 zrpc 独立服务与网关客户端配置。
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tokenstore:
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reward:
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forumLikeAmount: 1
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forumImportAmount: 5
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rpc:
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listenOn: "0.0.0.0:9095"
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endpoints:
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- "127.0.0.1:9095"
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timeout: 2s
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# LLM zrpc 独立服务与各业务服务客户端配置。
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llm:
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rpc:
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listenOn: "0.0.0.0:9096"
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endpoints:
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- "127.0.0.1:9096"
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timeout: 0s
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# Kafka outbox 事件总线配置。
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kafka:
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enabled: true
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brokers:
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- "localhost:9092"
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topic: "smartflow.agent.outbox"
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groupID: "smartflow-agent-outbox-consumer"
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retryScanInterval: 1s
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retryBatchSize: 100
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maxRetry: 20
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outbox:
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services:
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agent:
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topic: "smartflow.agent.outbox"
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groupID: "smartflow-agent-outbox-consumer"
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table: "agent_outbox_messages"
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task:
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topic: "smartflow.task.outbox"
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groupID: "smartflow-task-outbox-consumer"
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table: "task_outbox_messages"
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memory:
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topic: "smartflow.memory.outbox"
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groupID: "smartflow-memory-outbox-consumer"
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table: "memory_outbox_messages"
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active-scheduler:
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topic: "smartflow.active-scheduler.outbox"
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groupID: "smartflow-active-scheduler-outbox-consumer"
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table: "active_scheduler_outbox_messages"
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notification:
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topic: "smartflow.notification.outbox"
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groupID: "smartflow-notification-outbox-consumer"
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table: "notification_outbox_messages"
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taskclass-forum:
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topic: "smartflow.taskclass-forum.outbox"
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groupID: "smartflow-taskclass-forum-outbox-consumer"
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table: "taskclass_forum_outbox_messages"
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llm:
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topic: "smartflow.llm.outbox"
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groupID: "smartflow-llm-outbox-consumer"
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table: "llm_outbox_messages"
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token-store:
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topic: "smartflow.token-store.outbox"
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groupID: "smartflow-token-store-outbox-consumer"
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table: "token_store_outbox_messages"
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# 通知投递配置。
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notification:
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rpc:
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listenOn: "0.0.0.0:9082"
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endpoints:
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- "127.0.0.1:9082"
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timeout: 6s
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frontendBaseURL: "http://localhost:5173"
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retryScanEvery: 1m
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retryBatchSize: 50
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# 日程服务配置。
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schedule:
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rpc:
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listenOn: "0.0.0.0:9084"
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endpoints:
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- "127.0.0.1:9084"
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timeout: 6s
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# 任务服务配置。
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task:
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rpc:
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listenOn: "0.0.0.0:9085"
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endpoints:
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- "127.0.0.1:9085"
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timeout: 6s
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# 任务类服务配置。
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taskClass:
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rpc:
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listenOn: "0.0.0.0:9086"
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endpoints:
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- "127.0.0.1:9086"
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timeout: 6s
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# 课程服务配置。
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course:
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rpc:
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listenOn: "0.0.0.0:9087"
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endpoints:
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- "127.0.0.1:9087"
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timeout: 5m
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# 主动调度服务配置。
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activeScheduler:
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rpc:
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listenOn: "0.0.0.0:9083"
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endpoints:
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- "127.0.0.1:9083"
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timeout: 8s
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jobScanEvery: 1m
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jobScanLimit: 50
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# 时间与学期边界配置。
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time:
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zone: "Asia/Shanghai"
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semesterStartDate: "2026-03-02"
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semesterEndDate: "2026-07-19"
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# 智能体模型配置。
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agent:
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rpc:
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listenOn: "0.0.0.0:9089"
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endpoints:
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- "127.0.0.1:9089"
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timeout: 0s
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chat:
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enabled: true
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api:
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enabled: true
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liteModel: "doubao-seed-2-0-code-preview-260215"
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proModel: "doubao-seed-2-0-code-preview-260215"
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maxModel: "doubao-seed-2-0-code-preview-260215"
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baseURL: "https://ark.cn-beijing.volces.com/api/v3"
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thinking:
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plan: true
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execute: true
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deliver: false
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memory: false
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# 课表图片导入识别配置。
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courseImport:
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visionModel: ""
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maxImageBytes: 5242880
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maxTokens: 8192
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# 通用 RAG 配置。
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rag:
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enabled: true
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store: "milvus"
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topK: 8
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threshold: 0.55
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retrieve:
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timeoutMs: 1500
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ingest:
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chunkSize: 400
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chunkOverlap: 80
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embed:
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provider: "eino"
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model: "doubao-embedding-vision-251215"
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baseURL: "https://ark.cn-beijing.volces.com/api/v3"
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timeoutMs: 1200
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dimension: 1024
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reranker:
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enabled: false
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provider: "noop"
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timeoutMs: 1200
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milvus:
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address: "http://localhost:19530"
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token: "root:Milvus"
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dbName: ""
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collectionName: "smartflow_rag_chunks"
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metricType: "COSINE"
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requestTimeoutMs: 1500
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# 记忆模块配置。
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memory:
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rpc:
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listenOn: "0.0.0.0:9088"
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endpoints:
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- "127.0.0.1:9088"
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timeout: 6s
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enabled: true
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rag:
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enabled: true
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read:
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mode: legacy
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constraintLimit: 5
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preferenceLimit: 5
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factLimit: 5
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inject:
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renderMode: flat
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prompt:
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extract: ""
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decision: ""
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threshold: 0.55
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enableReranker: false
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llm:
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temperature: 0.1
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topP: 0.2
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job:
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maxRetry: 6
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worker:
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pollEvery: 2s
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claimBatch: 1
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decision:
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enabled: true
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candidateTopK: 5
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candidateMinScore: 0.6
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fallbackMode: legacy_add
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write:
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mode: legacy
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minConfidence: 0.5
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# 联网搜索能力配置。
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websearch:
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provider: bocha
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apiKey: ""
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