# ============================================================
# Ombre Brain Configuration / 配置文件
# Copy this file to config.yaml and modify as needed
# 复制此文件为 config.yaml 后按需修改
# ============================================================

# --- Transport / 传输方式 ---
# stdio: local use (Claude Desktop, direct pipe)
# streamable-http: remote use (HTTP, tunnel/CDN/proxy friendly)
# stdio: 本地使用（Claude Desktop，直接管道通信）
# streamable-http: 远程使用（标准 HTTP，对隧道/CDN/代理友好）
transport: "stdio"

# --- Log level / 日志级别 ---
log_level: "INFO"

# --- Bucket storage path / 记忆桶存储路径 ---
# Point this to your Obsidian vault subdirectory, or any local folder
# 指向你的 Obsidian 仓库子目录，或任意本地文件夹
# Leave as-is to use the built-in ./buckets/ directory
# 保持默认则使用内置的 ./buckets/ 目录
# buckets_dir: "/path/to/your/Obsidian Vault/Ombre Brain"

# --- Merge threshold / 桶合并阈值 ---
# When storing a new memory, if similarity with an existing bucket exceeds
# this value (0-100), merge instead of creating a new one
# 存新记忆时，如果与已有桶的相似度超过此值（0-100），则合并而非新建
merge_threshold: 75

# --- Dehydration API / 脱水压缩 API 配置 ---
# Uses a cheap LLM for intelligent compression. API is required; if the
# configured key/endpoint is unavailable, hold/grow will raise an explicit
# error instead of silently degrading (see BEHAVIOR_SPEC.md 三、降级行为表).
# 用廉价 LLM 做智能压缩。API 为必需；如 key/endpoint 不可用，
# hold/grow 会直接报错而非静默降级（详见 BEHAVIOR_SPEC.md 三、降级行为表）。
dehydration:
  # Supports any OpenAI-compatible API: DeepSeek / Ollama / LM Studio / vLLM / Gemini etc.
  # 支持所有 OpenAI 兼容 API：DeepSeek / Ollama / LM Studio / vLLM / Gemini 等
  model: "deepseek-chat"
  base_url: "https://api.deepseek.com/v1"
  # Common base_url examples / 常见 base_url 示例：
  #   DeepSeek:    https://api.deepseek.com/v1
  #   SiliconFlow: https://api.siliconflow.cn/v1
  #   Ollama:      http://localhost:11434/v1
  #   LM Studio:   http://localhost:1234/v1
  #   vLLM:        http://localhost:8000/v1
  #   Gemini:      https://generativelanguage.googleapis.com/v1beta/openai
  # api_key: ""    # ⚠️ Use env var OMBRE_API_KEY instead / 请使用环境变量 OMBRE_API_KEY
  max_tokens: 1024
  temperature: 0.1

# --- Decay parameters / 记忆衰减参数 ---
# Simulates Ebbinghaus forgetting curve, auto-archives inactive memories
# 模拟艾宾浩斯遗忘曲线，自动归档不活跃的记忆
decay:
  lambda: 0.05                    # Decay rate / 衰减速率（越大遗忘越快）
  threshold: 0.3                  # Archive threshold / 归档阈值
  check_interval_hours: 24        # Check interval (hours) / 衰减检查间隔（小时）
  emotion_weights:
    base: 1.0                     # Base weight / 基础权重
    arousal_boost: 0.8            # Arousal boost coefficient / 唤醒度加成系数

# --- Embedding / 向量化配置 ---
# Uses embedding API for semantic similarity search
# 通过 embedding API 实现语义相似度搜索
# You can configure embedding independently from dehydration.
# If api_key is omitted, reuses the same API key (OMBRE_API_KEY) and base_url from dehydration config
# 你可以把 embedding 独立配置；若 api_key 留空，复用脱水配置的 API key 和 base_url
embedding:
  enabled: true                   # Enable embedding / 启用向量化
  model: "gemini-embedding-001"   # Embedding model / 向量化模型
  # base_url: "https://generativelanguage.googleapis.com/v1beta/openai"
  # api_key: ""                  

# --- Scoring weights / 检索权重参数 ---
# total = topic(×4) + emotion(×2) + time(×1.5) + importance(×1)
scoring_weights:
  topic_relevance: 4.0
  emotion_resonance: 2.0
  time_proximity: 1.5
  importance: 1.0

# --- Fuzzy matching / 模糊匹配参数 ---
matching:
  fuzzy_threshold: 50             # Minimum match score (0-100) / 最低匹配分数
  max_results: 5                  # Max results per search / 单次搜索最多返回条数

# --- Obsidian wikilinks / Obsidian 双链自动注入 ---
wikilink:
  enabled: true
  use_tags: false
  use_domain: true
  use_auto_keywords: true
  auto_top_k: 4
  min_keyword_len: 3
  exclude_keywords: []