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hz3-agent/config.yaml

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# 黄庄三号四能力Agent 配置文件
# ================================
# 新增MCP服务器、调整路由关键词、修改模型参数都在这里
# 模型配置
llm:
base_url: "https://open.bigmodel.cn/api/paas/v4"
api_key: "2259e33a1357460abe17919aaf81e73d.K44a8LPQTmFM5PKm"
model: "glm-4.5-air"
# Agent行为参数
agent:
max_iterations: 5 # 最大迭代次数(防死循环)
think_temperature: 0.3 # 思考节点温度
skill_temperature: 0.7 # 技能节点温度
# MCP服务器配置
# 新增MCP服务器在列表中添加一项即可
mcp_servers:
- name: "hz3-tools"
command: "python3"
args: ["mcp_server.py"]
transport: "stdio"
# 路由关键词匹配到就通过MCP直接调用不依赖模型决策
route_keywords:
get_current_time: ["几点", "时间", "现在几点", "当前时间"]
count_chars: ["统计字符", "字符数", "字数统计", "统计文本"]
generate_uuid: ["生成uuid", "UUID", "uuid", "生成一个UUID"]
# Skill路由关键词
# 技能定义在 skills/ 目录的yaml文件中这里配置路由关键词
skill_keywords:
weather_analyst: ["天气", "出行", "穿什么"]
math_tutor: ["计算", "算", "数学", "等于多少"]
knowledge_explorer: ["是什么", "解释", "了解"]
time-tool: ["时间工具", "日期", "星期几"]