# ============================================================
# TDAI Gateway — Standalone 单机版配置
# ============================================================
# 适用场景: 本地开发 / Hermes sidecar / 单 Agent 单机部署
# 特点: 零外部依赖 (不需要 Redis/Shark), 进程内状态管理
# ============================================================

deployMode: standalone
stateBackend: "local"

server:
  port: 8420
  host: "127.0.0.1"

data:
  baseDir: "~/.memory-tencentdb/memory-tdai"

# ── LLM (必填) ──
llm:
  baseUrl: "https://api.openai.com/v1"
  apiKey: "${TDAI_LLM_API_KEY}"    # 通过环境变量注入
  model: "gpt-4o"
  maxTokens: 4096
  timeoutMs: 120000

# ── Memory 引擎配置 ──
memory:

  capture:
    enabled: true

  extraction:
    enabled: true
    enableDedup: true
    maxMemoriesPerSession: 20

  persona:
    triggerEveryN: 50
    maxScenes: 15

  pipeline:
    everyNConversations: 5
    enableWarmup: true
    l1IdleTimeoutSeconds: 600
    l2DelayAfterL1Seconds: 90
    l2MinIntervalSeconds: 900
    l2MaxIntervalSeconds: 3600

  recall:
    enabled: true
    maxResults: 5
    scoreThreshold: 0.3
    strategy: "hybrid"
    timeoutMs: 5000

  # ── 存储后端 ──
  # sqlite: 本地 SQLite (默认, 零配置)
  # tcvdb:  腾讯云向量数据库 (需填 tcvdb 配置)
  storeBackend: "sqlite"

  # 如需使用 TCVDB, 取消注释并填写:
  # storeBackend: "tcvdb"
  # tcvdb:
  #   url: "http://10.0.1.1:80"
  #   username: "root"
  #   apiKey: ""
  #   database: ""
  #   embeddingModel: "bge-large-zh"
  #   timeout: 10000

  embedding:
    provider: "none"               # 默认关闭向量搜索, 仅用 BM25
    # 开启向量搜索示例:
    # provider: "openai"
    # baseUrl: "https://api.openai.com/v1"
    # apiKey: "${TDAI_LLM_API_KEY}"
    # model: "text-embedding-3-small"
    # dimensions: 1536

  bm25:
    enabled: true
    language: "zh"