73 lines
3.0 KiB
YAML
73 lines
3.0 KiB
YAML
# ════════════════════════════════════════════════════════════════
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# config/config.yaml — 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"
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model_name: "gpt-4o"
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api_key: "sk-AUmOuFI731Ty5Nob38jY26d8lydfDT-QkE2giqb0sCuPCAE2JH6zjLM4lZLpvL5WMYPOocaMe2FwVDmqM_9KimmKACjR" # 优先读取环境变量 LLM_API_KEY
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api_base_url: "https://openapi.monica.im/v1" # 自定义代理地址，留空使用官方
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max_tokens: 4096
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temperature: 0.7
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timeout: 60
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max_retries: 3
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function_calling: true
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stream: false
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model_path: ""
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ollama_host: "http://localhost:11434"
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database:
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type: "sqlite"
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url: "sqlite:///skills.db"
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skills_directory: "./" # 新增：SKILL.md 文件所在目录
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# ── 本地 MCP Server 配置 ───────────────────────────────────────
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mcp:
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server_name: "MCPServer"
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transport: "stdio"
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host: "localhost"
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port: 3000
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tools_directory: "./agent/tools"
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# 本地注册的工具列表
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enabled_tools:
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- uav_self_check
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- uav_control
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- get_uav_state
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# ── 在线 MCP Skill 配置 ────────────────────────────────────────
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# 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
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mcp_skills:
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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: "7917bef5e46044af5209fdb78518be98be394f3fe763bbce3fbb503280408bd9"
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uav_control:
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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
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device:
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type: "uav"
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device_id: "UAV-001"
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protocol: "mavlink"
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params:
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connection_string: "udp:127.0.0.1:14550"
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