71154d905f
Doc-code consistency (per BEHAVIOR_SPEC.md ground truth):
- INTERNALS.md, dehydrator.py, README.md, config.example.yaml: drop the
outdated "API 不可用自动降级到本地关键词提取" claims; align with the
"RuntimeError on API outage, no silent fallback" design decision
- INTERNALS.md & BEHAVIOR_SPEC.md narrative: activation_count=1 → 0 (B-04)
- server.py header: 5 MCP tools → 6 (add dream)
OMBRE_PORT (T5/T6):
- Replace hardcoded 8000 in FastMCP / uvicorn / keepalive URL
with int(os.environ.get("OMBRE_PORT", "8000"))
OMBRE_HOOK_URL / OMBRE_HOOK_SKIP webhook (T7):
- Implement _fire_webhook() helper: fire-and-forget POST with 5s timeout,
failures logged at WARNING but never propagated
- Wired into breath / dream MCP tools and /breath-hook + /dream-hook routes
- Push payload: {event, timestamp, payload:{...}}; documented in ENV_VARS.md
Dashboard host-vault input (T12, per user request):
- New /api/host-vault GET/POST endpoints persist OMBRE_HOST_VAULT_DIR
to project-root .env (idempotent upsert, preserves other entries,
rejects quotes/newlines)
- Settings tab gains a "宿主机记忆桶目录 (Docker)" panel with
load/save buttons and a clear "需要 docker compose down/up 生效" notice
97 lines
4.3 KiB
YAML
97 lines
4.3 KiB
YAML
# ============================================================
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# Ombre Brain Configuration / 配置文件
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# Copy this file to config.yaml and modify as needed
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# 复制此文件为 config.yaml 后按需修改
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# ============================================================
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# --- Transport / 传输方式 ---
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# stdio: local use (Claude Desktop, direct pipe)
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# streamable-http: remote use (HTTP, tunnel/CDN/proxy friendly)
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# stdio: 本地使用（Claude Desktop，直接管道通信）
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# streamable-http: 远程使用（标准 HTTP，对隧道/CDN/代理友好）
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transport: "stdio"
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# --- Log level / 日志级别 ---
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log_level: "INFO"
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# --- Bucket storage path / 记忆桶存储路径 ---
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# Point this to your Obsidian vault subdirectory, or any local folder
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# 指向你的 Obsidian 仓库子目录，或任意本地文件夹
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# Leave as-is to use the built-in ./buckets/ directory
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# 保持默认则使用内置的 ./buckets/ 目录
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# buckets_dir: "/path/to/your/Obsidian Vault/Ombre Brain"
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# --- Merge threshold / 桶合并阈值 ---
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# When storing a new memory, if similarity with an existing bucket exceeds
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# this value (0-100), merge instead of creating a new one
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# 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
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merge_threshold: 75
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# --- Dehydration API / 脱水压缩 API 配置 ---
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# Uses a cheap LLM for intelligent compression. API is required; if the
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# configured key/endpoint is unavailable, hold/grow will raise an explicit
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# error instead of silently degrading (see BEHAVIOR_SPEC.md 三、降级行为表).
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# 用廉价 LLM 做智能压缩。API 为必需；如 key/endpoint 不可用，
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# hold/grow 会直接报错而非静默降级（详见 BEHAVIOR_SPEC.md 三、降级行为表）。
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dehydration:
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# Supports any OpenAI-compatible API: DeepSeek / Ollama / LM Studio / vLLM / Gemini etc.
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# 支持所有 OpenAI 兼容 API：DeepSeek / Ollama / LM Studio / vLLM / Gemini 等
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model: "deepseek-chat"
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base_url: "https://api.deepseek.com/v1"
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# Common base_url examples / 常见 base_url 示例：
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# DeepSeek: https://api.deepseek.com/v1
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# SiliconFlow: https://api.siliconflow.cn/v1
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# Ollama: http://localhost:11434/v1
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# LM Studio: http://localhost:1234/v1
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# vLLM: http://localhost:8000/v1
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# Gemini: https://generativelanguage.googleapis.com/v1beta/openai
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# api_key: "" # ⚠️ Use env var OMBRE_API_KEY instead / 请使用环境变量 OMBRE_API_KEY
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max_tokens: 1024
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temperature: 0.1
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# --- Decay parameters / 记忆衰减参数 ---
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# Simulates Ebbinghaus forgetting curve, auto-archives inactive memories
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# 模拟艾宾浩斯遗忘曲线，自动归档不活跃的记忆
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decay:
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lambda: 0.05 # Decay rate / 衰减速率（越大遗忘越快）
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threshold: 0.3 # Archive threshold / 归档阈值
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check_interval_hours: 24 # Check interval (hours) / 衰减检查间隔（小时）
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emotion_weights:
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base: 1.0 # Base weight / 基础权重
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arousal_boost: 0.8 # Arousal boost coefficient / 唤醒度加成系数
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# --- Embedding / 向量化配置 ---
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# Uses embedding API for semantic similarity search
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# 通过 embedding API 实现语义相似度搜索
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# You can configure embedding independently from dehydration.
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# If api_key is omitted, reuses the same API key (OMBRE_API_KEY) and base_url from dehydration config
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# 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
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embedding:
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enabled: true # Enable embedding / 启用向量化
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model: "gemini-embedding-001" # Embedding model / 向量化模型
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# base_url: "https://generativelanguage.googleapis.com/v1beta/openai"
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# api_key: ""
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# --- Scoring weights / 检索权重参数 ---
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# total = topic(×4) + emotion(×2) + time(×1.5) + importance(×1)
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scoring_weights:
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topic_relevance: 4.0
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emotion_resonance: 2.0
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time_proximity: 1.5
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importance: 1.0
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# --- Fuzzy matching / 模糊匹配参数 ---
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matching:
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fuzzy_threshold: 50 # Minimum match score (0-100) / 最低匹配分数
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max_results: 5 # Max results per search / 单次搜索最多返回条数
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# --- Obsidian wikilinks / Obsidian 双链自动注入 ---
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wikilink:
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enabled: true
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use_tags: false
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use_domain: true
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use_auto_keywords: true
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auto_top_k: 4
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min_keyword_len: 3
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exclude_keywords: []
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