# ============================================================
# 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; auto-degrades to local
# keyword extraction if API is unavailable
# 用廉价 LLM 做智能压缩，API 不可用时自动降级到本地关键词提取
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

# --- 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: 8
  min_keyword_len: 2
  exclude_keywords: []