# 应用配置文件示例 # 包含服务器、数据库等基础配置 # 请根据实际情况修改并保存为 config.yaml server: port: 8080 mode: debug timeout: 30s database: host: localhost port: 3306 user: smartflow_user password: "put_your_database_password_here" dbname: "put_your_database_name_here" charset: utf8mb4 parseTime: true loc: Local jwt: accessSecret: "put_your_jwt_access_secret_here" refreshSecret: "put_your_jwt_refresh_secret_here" accessTokenExpire: 15min refreshTokenExpire: 7d log: level: info path: logs/ redis: host: localhost port: 6379 password: "" db: 0 kafka: enabled: true brokers: - "localhost:9092" topic: "smartflow.agent.outbox" groupID: "smartflow-agent-outbox-consumer" retryScanInterval: 1s retryBatchSize: 100 maxRetry: 20 time: zone: "Asia/Shanghai" semesterStartDate: "2026-03-02" #学期开始日期,一定要设定为周一,以便于计算周数 semesterEndDate: "2026-07-19" #学期结束日期,一定要设定为周日,确保最后一周完整 agent: workerModel: "doubao-seed-1-6-lite-251015" # 智能体使用的Worker模型,需根据实际情况调整 strategistModel: "deepseek-v3-2-251201" # 策略师使用的Worker模型,需根据实际情况调整 baseURL: "https://ark.cn-beijing.volces.com/api/v3" # Worker服务的基础URL,需根据实际情况调整 dailyRefineConcurrency: 3 # 日内并发优化并发度,建议按模型配额调整 weeklyAdjustBudget: 5 # 周级跨天配平额度上限,防止过度调整 rag: enabled: false store: "inmemory" # 可选:inmemory / milvus topK: 8 threshold: 0.55 retrieve: timeoutMs: 1500 ingest: chunkSize: 400 chunkOverlap: 80 embed: provider: "mock" # 可选:mock / eino model: "" # 例如 Ark/OpenAI 兼容 embedding 模型名 baseURL: "https://ark.cn-beijing.volces.com/api/v3" apiKeyEnv: "ARK_API_KEY" timeoutMs: 1200 dimension: 1024 reranker: enabled: false provider: "noop" # 当前默认 noop,后续可扩展 timeoutMs: 1200 milvus: address: "http://localhost:19530" # Milvus REST 入口,当前联调确认不要填 9091 健康检查口 token: "root:Milvus" dbName: "" collectionName: "smartflow_rag_chunks" metricType: "COSINE" requestTimeoutMs: 1500 memory: enabled: true rag: enabled: false prompt: extract: "" decision: "" threshold: 0.55 enableReranker: false llm: temperature: 0.1 topP: 0.2 job: maxRetry: 6 worker: pollEvery: 2s claimBatch: 1 websearch: rag: enabled: false