# ════════════════════════════════════════════════════════════════
# 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"
database:
  type: "sqlite"
  url: "sqlite:///skills.db"
skills_directory: "./"  # 新增：SKILL.md 文件所在目录
# ── 本地 MCP Server 配置 ───────────────────────────────────────
mcp:
  server_name: "MCPServer"
  transport: "stdio"
  host: "localhost"
  port: 3000
  tools_directory: "./agent/tools"
  # 本地注册的工具列表
  enabled_tools:
    - uav_self_check
    - uav_control
    - get_uav_state


# ── 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:
# ── 工具配置 ───────────────────────────────────────────────────
tools:
  web_search:
    max_results: 5
    timeout: 10
    api_key: "7917bef5e46044af5209fdb78518be98be394f3fe763bbce3fbb503280408bd9"
  uav_control:
# ── 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

device:
  type: "uav"
  device_id: "UAV-001"
  protocol: "mavlink"
  params:
    connection_string: "udp:127.0.0.1:14550"