refactor: 支持多 LLM 提供商自动检测

README.md

@@ -4,14 +4,15 @@
 
 ## 功能特性
 
-- 💬 **多轮对话** - 支持上下文管理的多轮对话
+- 多轮对话 - 支持上下文管理的多轮对话
-- 🔧 **工具调用** - 网页搜索、代码执行、文件操作等
+- 工具调用 - 网页搜索、代码执行、文件操作等 13 个内置工具
-- 🧠 **思维链** - 支持链式思考推理
+- 思维链 - 支持链式思考推理（DeepSeek R1 / GLM thinking）
-- 📁 **工作目录** - 项目级文件隔离，安全操作
+- 工作目录 - 项目级文件隔离，安全操作
-- 📊 **Token 统计** - 按日/周/月统计使用量
+- Token 统计 - 按日/周/月统计使用量
-- 🔄 **流式响应** - 实时 SSE 流式输出
+- 流式响应 - 实时 SSE 流式输出，穿插显示思考/文本/工具调用
-- 📝 **代码编辑器** - 基于 CodeMirror 6，支持 15+ 语言语法高亮和暗色主题
+- 代码编辑器 - 基于 CodeMirror 6，支持 15+ 语言语法高亮和暗色主题
-- 💾 **多数据库** - 支持 MySQL、SQLite、PostgreSQL
+- 多数据库 - 支持 MySQL、SQLite、PostgreSQL
+- 多用户/单用户 - 支持单用户免登录和多用户 JWT 认证两种模式
 
 ## 快速开始
 
@@ -32,37 +33,47 @@ pip install -e .
 backend_port: 3000
 frontend_port: 4000
 
-# LLM API (global defaults, can be overridden per model)
+# Max agentic loop iterations (tool call rounds)
-default_api_key: {{your-api-key}}
+max_iterations: 15
-default_api_url: https://open.bigmodel.cn/api/paas/v4/chat/completions
 
-# Available models (each model can optionally specify its own api_key and api_url)
+# Available models
+# Each model must have its own id, name, api_url, api_key
 models:
+  - id: deepseek-chat
+    name: DeepSeek V3
+    api_url: https://api.deepseek.com/chat/completions
+    api_key: sk-xxx
   - id: glm-5
     name: GLM-5
-    # api_key: xxx       # Optional, falls back to default_api_key
+    api_url: https://open.bigmodel.cn/api/paas/v4/chat/completions
-    # api_url: xxx       # Optional, falls back to default_api_url
+    api_key: xxx
-  - id: glm-4-plus
-    name: GLM-4 Plus
 
-default_model: glm-5
+default_model: deepseek-chat
-
-# Workspace root directory
-workspace_root: ./workspaces
-
-# Authentication
-# "single": Single-user mode - no login required, auto-creates default user
-# "multi": Multi-user mode - requires JWT, users must register/login
-auth_mode: single
-
-# JWT secret (only used in multi-user mode, change for production!)
-jwt_secret: nano-claw-default-secret-change-in-production
 
 # Database Configuration
+# Supported types: mysql, sqlite, postgresql
 db_type: sqlite
+
+# MySQL/PostgreSQL Settings (ignored for sqlite)
+# db_host: localhost
+# db_port: 3306
+# db_user: root
+# db_password: "123456"
+# db_name: nano_claw
+
+# SQLite Settings (ignored for mysql/postgresql)
 db_sqlite_file: nano_claw.db
+
+# Workspace Configuration
+workspace_root: ./workspaces
+
+# Authentication (optional, defaults to single-user mode)
+# auth_mode: single  # "single" (default) or "multi"
+# jwt_secret: nano-claw-default-secret-change-in-production
 ```
 
+> **说明**：`api_key` 支持环境变量替换，例如 `api_key: ${DEEPSEEK_API_KEY}`。
+
 ### 3. 启动后端
 
 ```bash
@@ -81,30 +92,42 @@ npm run dev
 
 ```
 backend/
+├── __init__.py          # 应用工厂，数据库初始化，load_config()
+├── config.py            # 配置加载与验证
 ├── models.py            # SQLAlchemy 数据模型
+├── run.py               # 入口文件
 ├── routes/              # API 路由
-│   ├── auth.py      # 认证（登录/注册/JWT）
+│   ├── auth.py          # 认证（登录/注册/JWT/profile）
-│   ├── conversations.py
+│   ├── conversations.py # 会话 CRUD
-│   ├── messages.py
+│   ├── messages.py      # 消息 CRUD + 聊天（SSE 流式）
-│   ├── projects.py  # 项目管理
+│   ├── models.py        # 模型列表
-│   └── ...
+│   ├── projects.py      # 项目管理 + 文件操作
+│   ├── stats.py         # Token 使用统计
+│   └── tools.py         # 工具列表
 ├── services/            # 业务逻辑
-│   ├── chat.py      # 聊天补全服务
+│   ├── chat.py          # 聊天补全服务（SSE 流式 + 多轮工具调用）
-│   └── glm_client.py
+│   └── llm_client.py    # OpenAI 兼容 LLM API 客户端
 ├── tools/               # 工具系统
-│   ├── core.py      # 核心类
+│   ├── core.py          # 核心类（ToolDefinition/ToolRegistry）
-│   ├── executor.py  # 工具执行器
+│   ├── factory.py       # @tool 装饰器 + register_tool()
+│   ├── executor.py      # 工具执行器（缓存、去重、上下文注入）
+│   ├── services.py      # 辅助服务（搜索/抓取/计算）
 │   └── builtin/         # 内置工具
-├── utils/           # 辅助函数
+│       ├── crawler.py   # 网页搜索、抓取
-│   ├── helpers.py
+│       ├── data.py      # 计算器、文本、JSON 处理
-│   └── workspace.py # 工作目录工具
+│       ├── weather.py   # 天气查询（模拟）
-└── migrations/      # 数据库迁移
+│       ├── file_ops.py  # 文件操作（6 个工具，project_id 自动注入）
+│       └── code.py      # Python 代码执行（沙箱）
+└── utils/               # 辅助函数
+    ├── helpers.py       # 通用函数（ok/err/build_messages 等）
+    └── workspace.py     # 工作目录工具（路径验证、项目目录管理）
 
 frontend/
 └── src/
-    ├── api/         # API 请求层
+    ├── api/             # API 请求层（request + SSE 流解析）
-    ├── components/  # Vue 组件
+    ├── components/      # Vue 组件（12 个）
-    └── views/       # 页面
+    ├── composables/     # 组合式函数（主题/模态框/Toast）
+    └── utils/           # 工具模块（Markdown 渲染/代码高亮/图标）
 ```
 
 ## 工作目录系统
@@ -117,28 +140,63 @@ frontend/
 
 1. **创建项目** - 在侧边栏点击"新建项目"或上传文件夹
 2. **选择项目** - 在对话中选择当前工作目录
-3. **文件操作** - AI 自动在项目目录内执行文件操作
+3. **文件操作** - AI 自动在项目目录内执行文件操作（`project_id` 由后端自动注入，对 AI 透明）
 
 ### 安全机制
 
-- 所有文件操作需要 `project_id` 参数
+- 所有文件工具的 `project_id` 由后端自动注入，AI 不可见也不可伪造
 - 后端强制验证路径在项目目录内
 - 阻止目录遍历攻击（如 `../../../etc/passwd`）
 
 ## API 概览
 
+### 认证
+
 | 方法 | 路径 | 说明 |
 |------|------|------|
+| `GET` | `/api/auth/mode` | 获取当前认证模式 |
 | `POST` | `/api/auth/login` | 用户登录 |
 | `POST` | `/api/auth/register` | 用户注册 |
-| `GET` | `/api/conversations` | 会话列表 |
+| `GET` | `/api/auth/profile` | 获取当前用户信息 |
+| `PATCH` | `/api/auth/profile` | 更新当前用户信息 |
+
+### 会话管理
+
+| 方法 | 路径 | 说明 |
+|------|------|------|
+| `GET/POST` | `/api/conversations` | 会话列表 / 创建会话 |
+| `GET` | `/api/conversations/:id` | 会话详情 |
+| `PATCH` | `/api/conversations/:id` | 更新会话 |
+| `DELETE` | `/api/conversations/:id` | 删除会话 |
+
+### 消息管理
+
+| 方法 | 路径 | 说明 |
+|------|------|------|
 | `GET` | `/api/conversations/:id/messages` | 消息列表 |
 | `POST` | `/api/conversations/:id/messages` | 发送消息（SSE 流式） |
-| `GET` | `/api/projects` | 项目列表 |
+| `DELETE` | `/api/conversations/:id/messages/:mid` | 删除消息 |
-| `POST` | `/api/projects` | 创建项目 |
+| `POST` | `/api/conversations/:id/regenerate/:mid` | 重新生成消息 |
-| `POST` | `/api/projects/upload` | 上传文件夹 |
+
-| `GET` | `/api/tools` | 工具列表 |
+### 项目管理
-| `GET` | `/api/stats/tokens` | Token 统计 |
+
+| 方法 | 路径 | 说明 |
+|------|------|------|
+| `GET/POST` | `/api/projects` | 项目列表 / 创建项目 |
+| `GET/PUT/DELETE` | `/api/projects/:id` | 项目详情 / 更新 / 删除 |
+| `POST` | `/api/projects/upload` | 上传文件夹作为项目 |
+| `GET` | `/api/projects/:id/files` | 列出项目文件 |
+| `GET/PUT/PATCH/DELETE` | `/api/projects/:id/files/:path` | 文件 CRUD |
+| `POST` | `/api/projects/:id/directories` | 创建目录 |
+| `POST` | `/api/projects/:id/search` | 搜索文件内容 |
+
+### 其他
+
+| 方法 | 路径 | 说明 |
+|------|------|------|
+| `GET` | `/api/models` | 获取可用模型列表 |
+| `GET` | `/api/tools` | 获取工具列表 |
+| `GET` | `/api/stats/tokens` | Token 使用统计 |
 
 ## 内置工具
 
@@ -147,16 +205,16 @@ frontend/
 | **爬虫** | web_search, fetch_page, crawl_batch | 网页搜索和抓取 |
 | **数据处理** | calculator, text_process, json_process | 数学计算和文本处理 |
 | **代码执行** | execute_python | 沙箱环境执行 Python |
-| **文件操作** | file_read, file_write, file_list 等 | **需要 project_id** |
+| **文件操作** | file_read, file_write, file_delete, file_list, file_exists, file_mkdir | project_id 自动注入 |
 | **天气** | get_weather | 天气查询（模拟） |
 
 ## 文档
 
-- [后端设计](docs/Design.md) - 架构设计、数据模型、API 文档
+- [后端设计](docs/Design.md) - 架构设计、数据模型、API 文档、SSE 事件
 - [工具系统](docs/ToolSystemDesign.md) - 工具开发指南、安全设计
 
 ## 技术栈
 
-- **后端**: Python 3.11+, Flask, SQLAlchemy
+- **后端**: Python 3.10+, Flask, SQLAlchemy, requests
-- **前端**: Vue 3, Vite, CodeMirror 6
+- **前端**: Vue 3, Vite 6, CodeMirror 6, marked, highlight.js, KaTeX
-- **LLM**: 支持 GLM 等大语言模型
+- **LLM**: 支持任何 OpenAI 兼容 API（DeepSeek、GLM、OpenAI、Moonshot、Qwen 等）

backend/config.py

@@ -1,26 +1,35 @@
 """Configuration management"""
+import sys
 from backend import load_config
 
 _cfg = load_config()
 
-# Global defaults
-DEFAULT_API_URL = _cfg.get("api_url", "") or _cfg.get("default_api_url", "")
-DEFAULT_API_KEY = _cfg.get("api_key", "") or _cfg.get("default_api_key", "")
-
 # Model list (for /api/models endpoint)
 MODELS = _cfg.get("models", [])
 
-# Per-model config lookup: {model_id: {api_url, api_key}}
+# Validate each model has required fields at startup
-# Falls back to global defaults if not specified per model
+_REQUIRED_MODEL_KEYS = {"id", "name", "api_url", "api_key"}
-MODEL_CONFIG = {}
+_model_ids_seen = set()
-for _m in MODELS:
+for _i, _m in enumerate(MODELS):
-    _mid = _m["id"]
+    _missing = _REQUIRED_MODEL_KEYS - set(_m.keys())
-    MODEL_CONFIG[_mid] = {
+    if _missing:
-        "api_url": _m.get("api_url", DEFAULT_API_URL),
+        print(f"[config] ERROR: models[{_i}] missing required fields: {_missing}", file=sys.stderr)
-        "api_key": _m.get("api_key", DEFAULT_API_KEY),
+        sys.exit(1)
-    }
+    if _m["id"] in _model_ids_seen:
+        print(f"[config] ERROR: duplicate model id '{_m['id']}'", file=sys.stderr)
+        sys.exit(1)
+    _model_ids_seen.add(_m["id"])
 
-DEFAULT_MODEL = _cfg.get("default_model", "glm-5")
+# Per-model config lookup: {model_id: {api_url, api_key}}
+MODEL_CONFIG = {m["id"]: {"api_url": m["api_url"], "api_key": m["api_key"]} for m in MODELS}
+
+# default_model must exist in models
+DEFAULT_MODEL = _cfg.get("default_model", "")
+if DEFAULT_MODEL and DEFAULT_MODEL not in MODEL_CONFIG:
+    print(f"[config] ERROR: default_model '{DEFAULT_MODEL}' not found in models", file=sys.stderr)
+    sys.exit(1)
+if MODELS and not DEFAULT_MODEL:
+    DEFAULT_MODEL = MODELS[0]["id"]
 
 # Max agentic loop iterations (tool call rounds)
 MAX_ITERATIONS = _cfg.get("max_iterations", 5)

backend/routes/__init__.py

@@ -7,15 +7,15 @@ from backend.routes.tools import bp as tools_bp
 from backend.routes.stats import bp as stats_bp
 from backend.routes.projects import bp as projects_bp
 from backend.routes.auth import bp as auth_bp, init_auth
-from backend.services.glm_client import GLMClient
+from backend.services.llm_client import LLMClient
 from backend.config import MODEL_CONFIG
 
 
 def register_routes(app: Flask):
     """Register all route blueprints"""
-    # Initialize GLM client with per-model config
+    # Initialize LLM client with per-model config
-    glm_client = GLMClient(MODEL_CONFIG)
+    client = LLMClient(MODEL_CONFIG)
-    init_chat_service(glm_client)
+    init_chat_service(client)
 
     # Initialize authentication system (reads auth_mode from config.yml)
     init_auth(app)

backend/routes/messages.py

@@ -14,10 +14,10 @@ bp = Blueprint("messages", __name__)
 _chat_service = None
 
 
-def init_chat_service(glm_client):
+def init_chat_service(client):
-    """Initialize chat service with GLM client"""
+    """Initialize chat service with LLM client"""
     global _chat_service
-    _chat_service = ChatService(glm_client)
+    _chat_service = ChatService(client)
 
 
 def _get_conv(conv_id):

backend/routes/models.py

@@ -5,8 +5,15 @@ from backend.config import MODELS
 
 bp = Blueprint("models", __name__)
 
+# Keys that should never be exposed to the frontend
+_SENSITIVE_KEYS = {"api_key", "api_url"}
+
 
 @bp.route("/api/models", methods=["GET"])
 def list_models():
-    """Get available model list"""
+    """Get available model list (without sensitive fields like api_key)"""
-    return ok(MODELS)
+    safe_models = [
+        {k: v for k, v in m.items() if k not in _SENSITIVE_KEYS}
+        for m in MODELS
+    ]
+    return ok(safe_models)

backend/services/__init__.py

@@ -1,8 +1,8 @@
 """Backend services"""
-from backend.services.glm_client import GLMClient
+from backend.services.llm_client import LLMClient
 from backend.services.chat import ChatService
 
 __all__ = [
-    "GLMClient",
+    "LLMClient",
     "ChatService",
 ]

backend/services/chat.py

@@ -9,15 +9,15 @@ from backend.utils.helpers import (
     record_token_usage,
     build_messages,
 )
-from backend.services.glm_client import GLMClient
+from backend.services.llm_client import LLMClient
 from backend.config import MAX_ITERATIONS
 
 
 class ChatService:
     """Chat completion service with tool support"""
 
-    def __init__(self, glm_client: GLMClient):
+    def __init__(self, llm: LLMClient):
-        self.glm_client = glm_client
+        self.llm = llm
         self.executor = ToolExecutor(registry=registry)
 
 
@@ -76,7 +76,7 @@ class ChatService:
                 try:
                     with app.app_context():
                         active_conv = db.session.get(Conversation, conv_id)
-                        resp = self.glm_client.call(
+                        resp = self.llm.call(
                             model=active_conv.model,
                             messages=messages,
                             max_tokens=active_conv.max_tokens,

backend/services/glm_client.py

@@ -1,59 +0,0 @@
-"""GLM API client"""
-import requests
-from typing import Optional, List
-
-
-class GLMClient:
-    """GLM API client for chat completions"""
-
-    def __init__(self, model_config: dict):
-        """Initialize with per-model config lookup.
-
-        Args:
-            model_config: {model_id: {"api_url": ..., "api_key": ...}}
-        """
-        self.model_config = model_config
-
-    def _get_credentials(self, model: str):
-        """Get api_url and api_key for a model, with fallback."""
-        cfg = self.model_config.get(model, {})
-        return cfg.get("api_url", ""), cfg.get("api_key", "")
-
-    def call(
-        self,
-        model: str,
-        messages: List[dict],
-        max_tokens: int = 65536,
-        temperature: float = 1.0,
-        thinking_enabled: bool = False,
-        tools: Optional[List[dict]] = None,
-        stream: bool = False,
-        timeout: int = 120,
-    ):
-        """Call GLM API"""
-        api_url, api_key = self._get_credentials(model)
-        body = {
-            "model": model,
-            "messages": messages,
-            "max_tokens": max_tokens,
-            "temperature": temperature,
-        }
-        if thinking_enabled:
-            body["thinking"] = {"type": "enabled"}
-        if tools:
-            body["tools"] = tools
-            body["tool_choice"] = "auto"
-        if stream:
-            body["stream"] = True
-            body["stream_options"] = {"include_usage": True}
-
-        return requests.post(
-            api_url,
-            headers={
-                "Content-Type": "application/json",
-                "Authorization": f"Bearer {api_key}"
-            },
-            json=body,
-            stream=stream,
-            timeout=timeout,
-        )

backend/services/llm_client.py

@@ -0,0 +1,140 @@
+"""OpenAI-compatible LLM API client
+
+Supports any provider that follows the OpenAI chat completions API format:
+- Zhipu GLM (open.bigmodel.cn)
+- DeepSeek (api.deepseek.com)
+- OpenAI, Moonshot, Qwen, etc.
+"""
+import os
+import re
+import time
+import requests
+from typing import Optional, List
+
+
+def _resolve_env_vars(value: str) -> str:
+    """Replace ${VAR} or $VAR with environment variable values."""
+    if not isinstance(value, str):
+        return value
+    def _replace(m):
+        var = m.group(1) or m.group(2)
+        return os.environ.get(var, m.group(0))
+    return re.sub(r'\$\{(\w+)\}|\$(\w+)', _replace, value)
+
+
+def _detect_provider(api_url: str) -> str:
+    """Detect provider from api_url, returns provider name."""
+    if "deepseek" in api_url:
+        return "deepseek"
+    elif "bigmodel" in api_url:
+        return "glm"
+    else:
+        return "openai"
+
+
+class LLMClient:
+    """OpenAI-compatible LLM API client.
+
+    Each model must have its own api_url and api_key configured in MODEL_CONFIG.
+    """
+
+    def __init__(self, model_config: dict):
+        """Initialize with per-model config lookup.
+
+        Args:
+            model_config: {model_id: {"api_url": ..., "api_key": ...}}
+        """
+        self.model_config = model_config
+
+    def _get_credentials(self, model: str):
+        """Get api_url and api_key for a model, with env-var expansion."""
+        cfg = self.model_config.get(model)
+        if not cfg:
+            raise ValueError(f"Unknown model: '{model}', not found in config")
+        api_url = _resolve_env_vars(cfg.get("api_url", ""))
+        api_key = _resolve_env_vars(cfg.get("api_key", ""))
+        if not api_url:
+            raise ValueError(f"Model '{model}' has no api_url configured")
+        if not api_key:
+            raise ValueError(f"Model '{model}' has no api_key configured")
+        return api_url, api_key
+
+    def _build_body(self, model, messages, max_tokens, temperature, thinking_enabled, tools, stream, api_url):
+        """Build request body with provider-specific parameter adaptation."""
+        provider = _detect_provider(api_url)
+
+        body = {
+            "model": model,
+            "messages": messages,
+            "temperature": temperature,
+        }
+
+        # --- Provider-specific: max_tokens ---
+        if provider == "deepseek":
+            body["max_tokens"] = min(max_tokens, 8192)
+        elif provider == "glm":
+            body["max_tokens"] = min(max_tokens, 65536)
+        else:
+            body["max_tokens"] = max_tokens
+
+        # --- Provider-specific: thinking ---
+        if thinking_enabled:
+            if provider == "glm":
+                body["thinking"] = {"type": "enabled"}
+            elif provider == "deepseek":
+                pass  # deepseek-reasoner has built-in reasoning, no extra param
+
+        # --- Provider-specific: tools ---
+        if tools:
+            body["tools"] = tools
+            body["tool_choice"] = "auto"
+
+        # --- Provider-specific: stream ---
+        if stream:
+            body["stream"] = True
+            if provider == "glm":
+                body["stream_options"] = {"include_usage": True}
+            elif provider == "deepseek":
+                pass  # DeepSeek does not support stream_options
+
+        return body
+
+    def call(
+        self,
+        model: str,
+        messages: List[dict],
+        max_tokens: int = 65536,
+        temperature: float = 1.0,
+        thinking_enabled: bool = False,
+        tools: Optional[List[dict]] = None,
+        stream: bool = False,
+        timeout: int = 120,
+        max_retries: int = 3,
+    ):
+        """Call LLM API with retry on rate limit (429)"""
+        api_url, api_key = self._get_credentials(model)
+        body = self._build_body(
+            model, messages, max_tokens, temperature,
+            thinking_enabled, tools, stream, api_url,
+        )
+
+        for attempt in range(max_retries + 1):
+            resp = requests.post(
+                api_url,
+                headers={
+                    "Content-Type": "application/json",
+                    "Authorization": f"Bearer {api_key}"
+                },
+                json=body,
+                stream=stream,
+                timeout=timeout,
+            )
+
+            if resp.status_code == 429 and attempt < max_retries:
+                wait = 2 ** attempt
+                time.sleep(wait)
+                continue
+
+            return resp
+
+        return resp

backend/tools/builtin/code.py

@@ -9,21 +9,28 @@ from pathlib import Path
 from backend.tools.factory import tool
 
 
-# Whitelist of allowed modules
+# Blacklist of dangerous modules - all other modules are allowed
-ALLOWED_MODULES = {
+BLOCKED_MODULES = {
-    # Standard library - math and data processing
+    # System-level access
-    "math", "random", "statistics", "itertools", "functools", "operator",
+    "os", "sys", "subprocess", "shutil", "signal", "ctypes",
-    "collections", "decimal", "fractions", "numbers",
+    "multiprocessing", "threading", "_thread",
-    # String processing
+    # Network access
-    "string", "re", "textwrap", "unicodedata",
+    "socket", "http", "urllib", "requests", "ftplib", "smtplib",
-    # Data formats
+    "telnetlib", "xmlrpc", "asyncio",
-    "json", "csv", "datetime", "time",
+    # File system / I/O
-    # Data structures
+    "pathlib", "io", "glob", "tempfile", "shutil", "fnmatch",
-    "heapq", "bisect", "array", "copy",
+    # Code execution / introspection
-    # Type related
+    "importlib", "pkgutil", "code", "codeop", "compileall",
-    "typing", "types", "dataclasses",
+    "runpy", "pdb", "profile", "cProfile",
+    # Dangerous stdlib
+    "webbrowser", "antigravity", "turtle",
+    # IPC / persistence
+    "pickle", "shelve", "marshal", "sqlite3", "dbm",
+    # Process / shell
+    "commands", "pipes", "pty", "posix", "posixpath",
 }
 
+
 # Blacklist of dangerous builtins
 BLOCKED_BUILTINS = {
     "eval", "exec", "compile", "open", "input",
@@ -35,13 +42,14 @@ BLOCKED_BUILTINS = {
 
 @tool(
     name="execute_python",
-    description="Execute Python code in a sandboxed environment. Supports math, data processing, and string operations. Max execution time: 10 seconds.",
+    description="Execute Python code in a sandboxed environment. Most standard library modules are allowed, with dangerous modules (os, subprocess, socket, etc.) blocked. Max execution time: 10 seconds.",
     parameters={
         "type": "object",
         "properties": {
             "code": {
                 "type": "string",
-                "description": "Python code to execute. Only standard library modules allowed."
+                "description": "Python code to execute. Dangerous modules (os, subprocess, socket, etc.) are blocked."
+
             }
         },
         "required": ["code"]
@@ -53,7 +61,7 @@ def execute_python(arguments: dict) -> dict:
     Execute Python code safely with sandboxing.
 
     Security measures:
-    1. Restricted imports (whitelist)
+    1. Blocked dangerous imports (blacklist)
     2. Blocked dangerous builtins
     3. Timeout limit (10s)
     4. No file system access
@@ -66,7 +74,7 @@ def execute_python(arguments: dict) -> dict:
     if dangerous_imports:
         return {
             "success": False,
-            "error": f"Blocked imports: {', '.join(dangerous_imports)}. Only standard library modules allowed: {', '.join(sorted(ALLOWED_MODULES))}"
+            "error": f"Blocked imports: {', '.join(dangerous_imports)}. These modules are not allowed for security reasons."
         }
 
     # Security check: detect dangerous function calls
@@ -124,7 +132,7 @@ def _build_safe_code(code: str) -> str:
 
 
 def _check_dangerous_imports(code: str) -> list:
-    """Check for disallowed imports"""
+    """Check for blocked (blacklisted) imports"""
     try:
         tree = ast.parse(code)
     except SyntaxError:
@@ -135,12 +143,12 @@ def _check_dangerous_imports(code: str) -> list:
         if isinstance(node, ast.Import):
             for alias in node.names:
                 module = alias.name.split(".")[0]
-                if module not in ALLOWED_MODULES:
+                if module in BLOCKED_MODULES:
                     dangerous.append(module)
         elif isinstance(node, ast.ImportFrom):
             if node.module:
                 module = node.module.split(".")[0]
-                if module not in ALLOWED_MODULES:
+                if module in BLOCKED_MODULES:
                     dangerous.append(module)
 
     return dangerous

docs/Design.md

@@ -53,7 +53,7 @@ backend/
 ├── services/            # 业务逻辑
 │   ├── __init__.py
 │   ├── chat.py          # 聊天补全服务
-│   └── glm_client.py    # GLM API 客户端
+│   └── llm_client.py    # OpenAI 兼容 LLM API 客户端
 │
 ├── tools/               # 工具系统
 │   ├── __init__.py
@@ -72,9 +72,6 @@ backend/
 │   ├── __init__.py
 │   ├── helpers.py       # 通用函数
 │   └── workspace.py     # 工作目录工具
-│
-└── migrations/          # 数据库迁移
-    └── add_project_support.py
 ```
 
 ---
@@ -250,16 +247,18 @@ classDiagram
     direction TB
 
     class ChatService {
-        -GLMClient glm_client
+        -LLMClient llm
         -ToolExecutor executor
         +stream_response(conv, tools_enabled, project_id) Response
         -_build_tool_calls_json(calls, results) list
         -_process_tool_calls_delta(delta, list) list
     }
 
-    class GLMClient {
+    class LLMClient {
         -dict model_config
         +_get_credentials(model) (api_url, api_key)
+        +_detect_provider(api_url) str
+        +_build_body(model, messages, ...) dict
         +call(model, messages, kwargs) Response
     }
 
@@ -268,11 +267,10 @@ classDiagram
         -dict _cache
         -list _call_history
         +process_tool_calls(calls, context) list
-        +build_request(messages, model, tools) dict
         +clear_history() void
     }
 
-    ChatService --> GLMClient : 使用
+    ChatService --> LLMClient : 使用
     ChatService --> ToolExecutor : 使用
 ```
 
@@ -356,6 +354,9 @@ def delete_project_directory(project_path: str) -> bool:
 
 def copy_folder_to_project(source_path: str, project_dir: Path, project_name: str) -> dict:
     """复制文件夹到项目目录"""
+
+def save_uploaded_files(files, project_dir: Path) -> dict:
+    """保存上传文件到项目目录"""
 ```
 
 ### 安全机制
@@ -548,17 +549,17 @@ def process_tool_calls(self, tool_calls, context=None):
 1. **读取**：通过 `response.body.getReader()` 获取可读流，循环 `reader.read()` 读取二进制 chunk
 2. **解码拼接**：`TextDecoder` 将二进制解码为 UTF-8 字符串，追加到 `buffer`（处理跨 chunk 的不完整行）
 3. **切行**：按 `\n` 分割，最后一段保留在 `buffer` 中（可能是不完整的 SSE 行）
-4. **解析分发**：逐行匹配 `event: xxx` 设置事件类型，`data: {...}` 解析 JSON 后分发到对应回调（`onThinking` / `onMessage` / `onProcessStep` / `onDone` / `onError`）
+4. **解析分发**：逐行匹配 `event: xxx` 设置事件类型，`data: {...}` 解析 JSON 后分发到对应回调（`onProcessStep` / `onDone` / `onError`）
 
 ```
-后端 yield:  event: thinking\ndata: {"content":"..."}\n\n
+后端 yield:  event: process_step\ndata: {"id":"step-0","type":"thinking","content":"..."}\n\n
                         ↓ TCP（可能跨多个网络包）
 reader.read(): [二进制片段1] → [二进制片段2] → ...
                         ↓
-buffer 拼接:   "event: thinking\ndata: {\"content\":\"...\"}\n\n"
+buffer 拼接:   "event: process_step\ndata: {\"id\":\"step-0\",...}\n\n"
                         ↓ split('\n')
-逐行解析:      event: → "thinking"
+逐行解析:      event: → "process_step"
-              data:   → JSON.parse → onThinking(data.content)
+              data:   → JSON.parse → onProcessStep(data)
 ```
 
 ---
@@ -923,41 +924,50 @@ if name.startswith("file_") and context and "project_id" in context:
 backend_port: 3000
 frontend_port: 4000
 
-# LLM API（全局默认值，每个 model 可单独覆盖）
+# 智能体循环最大迭代次数（工具调用轮次上限，默认 5）
-default_api_key: your-api-key
+max_iterations: 15
-default_api_url: https://open.bigmodel.cn/api/paas/v4/chat/completions
 
-# 可用模型列表
+# 可用模型列表（每个模型必须指定 api_url 和 api_key）
+# 支持任何 OpenAI 兼容 API（DeepSeek、GLM、OpenAI、Moonshot、Qwen 等）
 models:
+  - id: deepseek-chat
+    name: DeepSeek V3
+    api_url: https://api.deepseek.com/chat/completions
+    api_key: sk-xxx
   - id: glm-5
     name: GLM-5
-    # api_key: ...      # 可选，不指定则用 default_api_key
+    api_url: https://open.bigmodel.cn/api/paas/v4/chat/completions
-    # api_url: ...      # 可选，不指定则用 default_api_url
+    api_key: xxx
-  - id: glm-5-turbo
-    name: GLM-5 Turbo
-    api_key: another-key       # 该模型使用独立凭证
-    api_url: https://other.api.com/chat/completions
 
-# 默认模型
+# 默认模型（必须存在于 models 列表中）
-default_model: glm-5
+default_model: deepseek-chat
-
-# 智能体循环最大迭代次数（工具调用轮次上限，默认 5）
-max_iterations: 5
 
 # 工作区根目录
 workspace_root: ./workspaces
 
-# 认证模式：single（单用户，无需登录） / multi（多用户，需要 JWT）
+# 认证模式（可选，默认 single）
+# single: 单用户模式，无需登录，自动创建默认用户
+# multi: 多用户模式，需要 JWT 认证
 auth_mode: single
 # JWT 密钥（仅多用户模式使用，生产环境请替换为随机值）
 jwt_secret: nano-claw-default-secret-change-in-production
 
-# 数据库
+# 数据库（支持 mysql, sqlite, postgresql）
-db_type: mysql  # mysql, sqlite, postgresql
+db_type: sqlite
+
+# MySQL/PostgreSQL 配置（sqlite 模式下忽略）
 db_host: localhost
 db_port: 3306
 db_user: root
-db_password: ""
+db_password: "123456"
 db_name: nano_claw
-db_sqlite_file: app.db  # SQLite 时使用
+
+# SQLite 配置（mysql/postgresql 模式下忽略）
+db_sqlite_file: nano_claw.db
 ```
+
+> **说明**：
+> - `api_key` 和 `api_url` 支持环境变量替换，例如 `api_key: ${DEEPSEEK_API_KEY}`
+> - 不配置 `auth_mode` 时默认为 `single` 模式
+> - `LLMClient` 会根据 `api_url` 自动检测提供商（DeepSeek / GLM / OpenAI），并适配不同的参数（max_tokens 上限、thinking 参数、stream_options 等）
+> - 遇到 429 限流时自动重试（最多 3 次，指数退避）