base_agent/config.yaml

# ════════════════════════════════════════════════════════════════
# config/config.yaml  —  Agent 系统全局配置文件
# ════════════════════════════════════════════════════════════════

# ── LLM 模型配置 ───────────────────────────────────────────────
llm:
  provider: "openai"
  model_name: "gpt-4o"
  api_key: "sk-AUmOuFI731Ty5Nob38jY26d8lydfDT-QkE2giqb0sCuPCAE2JH6zjLM4lZLpvL5WMYPOocaMe2FwVDmqM_9KimmKACjR"                       # 优先读取环境变量 LLM_API_KEY
  api_base_url: "https://openapi.monica.im/v1"                  # 自定义代理地址，留空使用官方
  max_tokens: 4096
  temperature: 0.7
  timeout: 60
  max_retries: 3
  function_calling: true
  stream: false
  model_path: ""
  ollama_host: "http://localhost:11434"

# ── 本地 MCP Server 配置 ───────────────────────────────────────
mcp:
  server_name: "DemoMCPServer"
  transport: "stdio"
  host: "localhost"
  port: 3000
  # 本地注册的工具列表
  enabled_tools:
    - calculator
    - web_search
    - file_reader
    - code_executor

# ── 在线 MCP Skill 配置 ────────────────────────────────────────
# 每一项代表一个远端 MCP Server，其暴露的所有工具将作为 skill 注册到 Agent
mcp_skills:

  # 示例一：SSE 传输（最常见的在线 MCP Server 形式）
#  - name: "everything"              # skill 组名称（用于日志/调试）
#    enabled: true
#    transport: "sse"               # sse | http | stdio
#    url: "http://localhost:3001/sse"
#    # 请求头（可用于 API Key 认证）
#    headers:
#      Authorization: ""            # 优先读取环境变量 MCP_EVERYTHING_TOKEN
#    timeout: 30                    # 连接超时（秒）
#    retry: 2                       # 失败重试次数
#    # 只暴露指定工具（空列表=全部暴露）
#    include_tools: []
#    # 排除指定工具
#    exclude_tools: []

  # 示例二：Streamable HTTP 传输
#  - name: "remote-tools"
#    enabled: false
#    transport: "http"
#    url: "http://api.example.com/mcp"
#    headers:
#      Authorization: "Bearer your_token_here"
#      X-Client-ID: "agent-demo"
#    timeout: 30
#    retry: 2
#    include_tools: []
#    exclude_tools: []

  # 示例三：stdio 子进程（本地可执行文件作为 MCP Server）
#  - name: "filesystem"
#    enabled: false
#    transport: "stdio"
#    # stdio 模式使用 command 启动子进程，不需要 url
#    command: "npx"
#    args:
#      - "-y"
#      - "@modelcontextprotocol/server-filesystem"
#      - "/tmp"
#    env:
#      NODE_ENV: "production"
#    timeout: 30
#    retry: 1
#    include_tools: []
#    exclude_tools: []
  - name: "hexstrike-ai"
    enabled: true
    transport: "stdio"
    command: "python3"
    args:
      - "/Users/sontolau/Applications/hexstrike-ai/hexstrike_mcp.py"
      - "--server"
      - "http://localhost:8999"
    description: "HexStrike AI v6.0 - Advanced Cybersecurity Automation Platform"
    timeout: 300
  # 示例四：带鉴权的在线 MCP SaaS 服务
#  - name: "brave-search"
#    enabled: false
#    transport: "sse"
#    url: "https://mcp.brave.com/sse"
#    headers:
#      Authorization: ""            # 优先读取环境变量 MCP_BRAVE_SEARCH_TOKEN
#    timeout: 20
#    retry: 2
#    include_tools:
#      - "brave_web_search"
#      - "brave_local_search"
#    exclude_tools: []

# ── 工具配置 ───────────────────────────────────────────────────
tools:
  calculator:
    precision: 10

  web_search:
    max_results: 5
    timeout: 10
    api_key: ""
    engine: "mock"

  file_reader:
    allowed_root: "./workspace"
    max_file_size_kb: 512

  code_executor:
    timeout: 5
    sandbox: true

  static_analyzer:
    default_tool: "cppcheck"
    default_std: "c++17"
    timeout: 120
    jobs: 4
    output_format: "summary"
    max_issues: 500
    allowed_roots: []
    tool_extra_args:
      cppcheck: "--suppress=missingIncludeSystem --suppress=unmatchedSuppression"
      clang-tidy: "--checks=*,-fuchsia-*,-google-*,-zircon-*"
      infer: ""

  ssh_docker:
    default_ssh_port: 22
    default_username: "root"
    connect_timeout: 30
    cmd_timeout: 120
    deploy_timeout: 300
    default_restart_policy: "unless-stopped"
    default_tail_lines: 100
    allowed_hosts: []
    blocked_images: []
    allow_privileged: false
    servers: {}

# ── 记忆配置 ───────────────────────────────────────────────────
memory:
  max_history: 20
  enable_long_term: false
  vector_db_url: ""

# ── 日志配置 ───────────────────────────────────────────────────
logging:
  level: "DEBUG"
  enable_file: true
  log_dir: "./logs"
  log_file: "agent.log"

# ── Agent 行为配置 ─────────────────────────────────────────────
agent:
  max_chain_steps: 10
  enable_multi_step: true
  session_timeout: 3600
  fallback_to_rules: true