119 lines
5.3 KiB
YAML
119 lines
5.3 KiB
YAML
# ════════════════════════════════════════════════════════════════
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# config/config.yaml
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# Agent 系统全局配置文件
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# ════════════════════════════════════════════════════════════════
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# ── LLM 模型配置 ───────────────────────────────────────────────
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llm:
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provider: "openai" # 模型提供商: openai | anthropic | ollama | local
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model_name: "gpt-4o" # 模型名称
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api_key: "sk-AUmOuFI731Ty5Nob38jY26d8lydfDT-QkE2giqb0sCuPCAE2JH6zjLM4lZLpvL5WMYPOocaMe2FwVDmqM_9KimmKACjR" # API Key（优先读取环境变量 LLM_API_KEY）
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api_base_url: "https://openapi.monica.im/v1" # 自定义 API 地址（兼容第三方 OpenAI 代理）
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max_tokens: 4096 # 最大输出 Token 数
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temperature: 0.7 # 生成温度 0.0~1.0
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timeout: 60 # 请求超时（秒）
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max_retries: 3 # 失败自动重试次数
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# OpenAI 专用
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function_calling: true # 是否启用 Function Calling（工具规划核心）
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stream: false # 是否启用流式输出
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# Ollama / 本地模型专用
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model_path: "" # 本地模型路径，例如 /models/llama3
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ollama_host: "http://localhost:11434"
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# ── MCP Server 配置 ────────────────────────────────────────────
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mcp:
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server_name: "DemoMCPServer"
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transport: "stdio"
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host: "localhost"
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port: 3000
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enabled_tools:
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- calculator
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- web_search
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- file_reader
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- code_executor
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- static_analyzer
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- ssh_docker
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# ── 工具配置 ───────────────────────────────────────────────────
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tools:
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web_search:
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max_results: 5
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timeout: 10
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api_key: ""
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engine: "mock"
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file_reader:
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allowed_root: "./workspace"
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max_file_size_kb: 512
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code_executor:
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timeout: 5
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sandbox: true
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calculator:
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precision: 10
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# ── C/C++ 静态分析 ──────────────────────────────────────────
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static_analyzer:
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default_tool: "cppcheck" # cppcheck | clang-tidy | infer
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default_std: "c++17" # c89 | c99 | c11 | c++11 | c++14 | c++17 | c++20
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timeout: 120 # 分析超时（秒）
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jobs: 4 # 并行线程数（cppcheck -j 参数）
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output_format: "summary" # summary | json | full
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max_issues: 500 # 最多返回问题条数
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# 允许分析的目录白名单，空列表表示不限制
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allowed_roots: [ ]
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# 各工具的额外默认参数
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tool_extra_args:
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cppcheck: "--suppress=missingIncludeSystem --suppress=unmatchedSuppression"
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clang-tidy: "--checks=*,-fuchsia-*,-google-*,-zircon-*"
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infer: ""
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# ── SSH Docker 部署 ─────────────────────────────────────────
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ssh_docker:
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default_ssh_port: 22
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default_username: "root"
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connect_timeout: 30 # SSH 连接超时（秒）
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cmd_timeout: 120 # 单条命令执行超时（秒）
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deploy_timeout: 300 # 镜像拉取/部署超时（秒）
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default_restart_policy: "unless-stopped"
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default_tail_lines: 100
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# 安全：允许操作的服务器白名单，空列表表示不限制
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allowed_hosts: [ ]
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# 安全：禁止使用的镜像前缀
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blocked_images: [ ]
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# 是否允许 --privileged 模式
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allow_privileged: false
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# 已知服务器预设（可选，避免每次传入认证信息）
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servers: { }
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# 示例:
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# servers:
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# prod:
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# host: "192.168.1.100"
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# port: 22
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# username: "deploy"
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# key_path: "/home/ci/.ssh/id_rsa"
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# staging:
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# host: "192.168.1.200"
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# port: 22
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# username: "ubuntu"
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# password: "" # 留空则读取环境变量 SSH_STAGING_PASSWORD
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# ── 记忆配置 ───────────────────────────────────────────────────
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memory:
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max_history: 20
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enable_long_term: false
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vector_db_url: ""
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# ── 日志配置 ───────────────────────────────────────────────────
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logging:
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level: "DEBUG"
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enable_file: true
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log_dir: "./logs"
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log_file: "agent.log"
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# ── Agent 行为配置 ─────────────────────────────────────────────
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agent:
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max_chain_steps: 10
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enable_multi_step: true
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session_timeout: 3600
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fallback_to_rules: true # API 调用失败时是否降级到规则引擎 |