65 lines
1.8 KiB
YAML
65 lines
1.8 KiB
YAML
# Memory Gateway 配置示例
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# 复制为 config.yaml 并根据实际情况修改
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# Memory Gateway 服务配置
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server:
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# 监听地址，0.0.0.0 表示接受所有网卡（局域网可访问）
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host: "0.0.0.0"
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# MCP Server 端口
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port: 1934
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# 可选：API Key 认证，客户端需要提供相同的 Key
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api_key: ""
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# OpenViking 后端配置
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openviking:
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# OpenViking 服务器地址
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url: "http://localhost:1933"
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# OpenViking API Key（如有）
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api_key: ""
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# 请求超时时间（秒）
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timeout: 30
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# EverMemOS 后台长期记忆整理服务
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evermemos:
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enabled: true
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url: "http://127.0.0.1:1995"
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api_key: ""
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timeout: 30
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health_path: "/health"
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# 如果远端服务实际 endpoint 不同，改这里即可，不需要改代码。
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consolidate_path: "/v1/sessions/consolidate"
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# POC 默认允许远端不可用时用本地确定性 worker 降级，方便开发测试。
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fallback_to_local: true
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# 记忆配置
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memory:
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# 默认命名空间
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default_namespace: "memory-gateway"
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# 默认搜索返回数量
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search_limit: 10
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# 日志配置
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logging:
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level: "INFO"
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format: "%(asctime)s - %(name)s - %(levelname)s - %(message)s"
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# LLM 配置：用于 /api/summary 和 /api/knowledge/upload
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# 兼容 OpenAI Chat Completions API；也可指向本地 vLLM / Ollama OpenAI-compatible endpoint。
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llm:
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base_url: "https://api.openai.com/v1"
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api_key: ""
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model: ""
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timeout: 60
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max_input_chars: 24000
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# Obsidian 配置：用于 /api/knowledge/upload 保存 Markdown 笔记
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obsidian:
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vault_path: "/home/tom/memory-gateway/obsidian-vault"
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knowledge_dir: "01_Knowledge/Uploaded"
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review_dir: "Reviews/Queue"
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# v1 metadata storage. Use "memory" only for isolated unit tests.
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storage:
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backend: "sqlite"
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sqlite_path: "/home/tom/memory-gateway/memory_gateway.sqlite3"
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