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MuWinds
ac57ad0c18
LLM 层重构： - 将 LLM 调用层重构为 Provider 模式，支持多 API 类型 - 新增 Anthropic、OpenAI Chat、OpenAI Responses 三种 Provider - 新增 LLM 类型定义和工厂类 WebSocket 重连： - 添加指数退避自动重连机制（初始 1s，最大 30s，最多 10 次） - 区分手动关闭与意外断开，仅意外断开触发重连 - 在任务页面顶部添加连接状态指示灯（绿/黄/红） 图表字体跨平台兼容： - 在 backend/fonts/ 存放 SimHei 字体文件 - create_work_dir() 自动复制字体到任务工作目录 - 两个解释器从工作目录动态加载字体 - E2B 移除 apt-get install 依赖，改用上传字体文件 - 统一三处字体优先级配置 其他： - 重构注释规范、修复类型错误、添加 lint hook - 更新 CLAUDE.md 项目文档
80 lines
2.8 KiB
Python
80 lines
2.8 KiB
Python
"""工具函数定义模块，为各 Agent 提供可用的工具 schema。"""
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# ---- OpenAI 格式（Chat Completions + Responses 共用） ----
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coder_tools = [
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{
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"type": "function",
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"function": {
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"name": "execute_code",
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"description": "This function allows you to execute Python code and retrieve the terminal output. If the code "
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"generates image output, the function will return the text '[image]'. The code is sent to a "
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"Jupyter kernel for execution. The kernel will remain active after execution, retaining all "
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"variables in memory."
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"You cannot show rich outputs like plots or images, but you can store them in the working directory and point the user to them. ",
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"strict": True,
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"parameters": {
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"type": "object",
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"properties": {
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"code": {"type": "string", "description": "The code text"}
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},
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"required": ["code"],
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"additionalProperties": False,
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},
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},
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},
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]
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writer_tools = [
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{
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"type": "function",
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"function": {
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"name": "search_papers",
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"description": "Search for papers using a query string.",
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"strict": True,
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"parameters": {
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"type": "object",
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"properties": {
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"query": {"type": "string", "description": "The query string"}
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},
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"required": ["query"],
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"additionalProperties": False,
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},
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},
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},
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]
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# ---- Anthropic 格式 ----
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coder_tools_anthropic = [
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{
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"name": "execute_code",
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"description": "This function allows you to execute Python code and retrieve the terminal output. If the code "
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"generates image output, the function will return the text '[image]'. The code is sent to a "
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"Jupyter kernel for execution. The kernel will remain active after execution, retaining all "
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"variables in memory."
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"You cannot show rich outputs like plots or images, but you can store them in the working directory and point the user to them. ",
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"input_schema": {
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"type": "object",
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"properties": {
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"code": {"type": "string", "description": "The code text"}
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},
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"required": ["code"],
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},
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},
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]
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writer_tools_anthropic = [
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{
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"name": "search_papers",
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"description": "Search for papers using a query string.",
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"input_schema": {
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"type": "object",
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"properties": {
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"query": {"type": "string", "description": "The query string"}
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},
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"required": ["query"],
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},
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},
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]
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