From 1cd488c9e558e27cc9e71f5bd9da4e6462fa0111 Mon Sep 17 00:00:00 2001 From: Claude Date: Mon, 17 Nov 2025 03:23:34 +0000 Subject: [PATCH 01/29] docs: add comprehensive CLAUDE.md guide for AI assistants Add comprehensive documentation file (CLAUDE.md) that provides AI assistants with detailed guidance on working with the Mini Agent codebase, including: - Complete project overview and key features - Detailed repository structure and architecture explanation - Core components documentation (Agent, LLM abstraction, Tools, Config) - Development workflows and setup instructions - Code style conventions and commit message format - Guidelines for adding new tools and MCP integrations - Testing best practices and debugging tips - Common pitfalls and troubleshooting guide - Quick reference for common tasks This guide helps AI assistants understand the codebase structure, follow project conventions, and make appropriate contributions. --- CLAUDE.md | 519 ++++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 519 insertions(+) create mode 100644 CLAUDE.md diff --git a/CLAUDE.md b/CLAUDE.md new file mode 100644 index 0000000..1861ab8 --- /dev/null +++ b/CLAUDE.md @@ -0,0 +1,519 @@ +# CLAUDE.md - AI Assistant Guide for Mini Agent + +This document provides comprehensive guidance for AI assistants (like Claude) working with the Mini Agent codebase. It covers the project structure, development workflows, key conventions, and best practices. + +## Project Overview + +**Mini Agent** is a minimal yet professional demo project showcasing best practices for building agents with the MiniMax M2 model. It uses an Anthropic-compatible API and fully supports interleaved thinking for complex, long-running tasks. + +### Key Features + +- Full agent execution loop with basic file system and shell operation tools +- Persistent memory via Session Note Tool +- Intelligent context management with automatic conversation summarization +- Claude Skills integration (15 professional skills for documents, design, testing, development) +- MCP (Model Context Protocol) tool integration +- Comprehensive logging for debugging +- Multi-provider LLM support (Anthropic and OpenAI protocols) + +### Technology Stack + +- **Language**: Python 3.10+ +- **Package Manager**: uv (modern Python package manager) +- **Testing**: pytest with asyncio support +- **Dependencies**: httpx, pydantic, pyyaml, tiktoken, prompt-toolkit, mcp, anthropic, openai +- **Build System**: setuptools + +## Repository Structure + +``` +Mini-Agent/ +├── mini_agent/ # Core source code +│ ├── __init__.py +│ ├── agent.py # Main agent execution loop +│ ├── cli.py # Command-line interface with prompt_toolkit +│ ├── config.py # Configuration loading logic +│ ├── logger.py # Comprehensive logging system +│ ├── retry.py # Retry mechanism with exponential backoff +│ ├── llm/ # LLM client abstraction +│ │ ├── base.py # Abstract base class for LLM clients +│ │ ├── anthropic_client.py # Anthropic API implementation +│ │ ├── openai_client.py # OpenAI API implementation +│ │ └── llm_wrapper.py # LLMClient factory +│ ├── schema/ # Data models +│ │ └── schema.py # Pydantic models for messages, responses, etc. +│ ├── tools/ # Tool implementations +│ │ ├── base.py # Base Tool class and ToolResult +│ │ ├── file_tools.py # ReadTool, WriteTool, EditTool +│ │ ├── bash_tool.py # BashTool, BashOutputTool, BashKillTool +│ │ ├── note_tool.py # SessionNoteTool for persistent memory +│ │ ├── skill_tool.py # Skill tools (get_skill) +│ │ ├── skill_loader.py # Loads Claude Skills from submodule +│ │ └── mcp_loader.py # MCP server integration +│ ├── skills/ # Claude Skills (git submodule) +│ ├── utils/ # Utility functions +│ │ └── terminal_utils.py # Terminal display width calculations +│ └── config/ # Configuration files +│ ├── config-example.yaml # Configuration template +│ ├── system_prompt.md # System prompt for the agent +│ └── mcp.json # MCP server configuration +├── tests/ # Test suite +│ ├── test_agent.py # Agent integration tests +│ ├── test_llm.py # LLM client tests +│ ├── test_note_tool.py # Session Note Tool tests +│ ├── test_skill_tool.py # Skill tool tests +│ ├── test_mcp.py # MCP loading tests +│ └── ... +├── docs/ # Documentation +│ ├── DEVELOPMENT_GUIDE.md # Detailed development guide +│ └── PRODUCTION_GUIDE.md # Production deployment guide +├── scripts/ # Setup and utility scripts +├── examples/ # Example usage +├── workspace/ # Default workspace directory (gitignored) +├── pyproject.toml # Project configuration and dependencies +├── uv.lock # Locked dependencies +├── README.md # Main documentation +└── CONTRIBUTING.md # Contribution guidelines +``` + +## Core Architecture + +### 1. Agent Execution Loop + +**File**: `mini_agent/agent.py` + +The `Agent` class implements the core execution loop: + +- **Message Management**: Maintains conversation history with automatic token counting +- **Context Summarization**: Automatically summarizes history when token limit is exceeded (default: 80,000 tokens) +- **Tool Execution**: Manages tool calls and results +- **Step Limiting**: Prevents infinite loops with configurable max_steps (default: 100) +- **Workspace Management**: Handles workspace directory and path resolution + +**Key Methods**: +- `run(task: str)`: Main execution loop for a task +- `add_user_message(content: str)`: Add user message to history +- `_estimate_tokens()`: Accurate token counting using tiktoken +- `_summarize_history()`: Intelligent context compression + +### 2. LLM Client Abstraction + +**Files**: `mini_agent/llm/` + +The LLM layer has been abstracted to support multiple providers: + +- **`base.py`**: Defines `LLMClientBase` abstract interface +- **`anthropic_client.py`**: Anthropic Messages API implementation +- **`openai_client.py`**: OpenAI Chat Completions API implementation +- **`llm_wrapper.py`**: Factory that creates appropriate client based on configuration + +**Key Features**: +- Provider-agnostic interface +- Automatic API endpoint construction (appends `/anthropic` or `/v1`) +- Retry mechanism with exponential backoff +- Thinking block support (for models that support it) +- Tool calling standardization + +**Configuration**: +```yaml +provider: "anthropic" # or "openai" +api_key: "YOUR_API_KEY" +api_base: "https://api.minimax.io" +model: "MiniMax-M2" +``` + +### 3. Tools System + +**Files**: `mini_agent/tools/` + +All tools inherit from the `Tool` base class in `base.py`: + +**Tool Interface**: +```python +class Tool: + @property + def name(self) -> str: ... + + @property + def description(self) -> str: ... + + @property + def parameters(self) -> dict[str, Any]: ... + + async def execute(self, *args, **kwargs) -> ToolResult: ... + + def to_schema(self) -> dict: ... # Anthropic format + def to_openai_schema(self) -> dict: ... # OpenAI format +``` + +**Built-in Tools**: +- **ReadTool**: Read file contents with optional line range +- **WriteTool**: Create or overwrite files +- **EditTool**: Edit existing files using old/new string replacement +- **BashTool**: Execute bash commands with timeout +- **BashOutputTool**: Read output from background bash processes +- **BashKillTool**: Kill background bash processes +- **SessionNoteTool**: Persistent note-taking for session memory +- **get_skill**: Load Claude Skills dynamically + +### 4. Configuration System + +**File**: `mini_agent/config.py` + +Configuration is loaded from YAML files in priority order: +1. `mini_agent/config/config.yaml` (development mode) +2. `~/.mini-agent/config/config.yaml` (user config) +3. Package installation directory config + +**Key Configuration Options**: +- `api_key`: MiniMax API key +- `api_base`: API endpoint URL +- `model`: Model name (e.g., "MiniMax-M2") +- `provider`: LLM provider ("anthropic" or "openai") +- `max_steps`: Maximum execution steps (default: 100) +- `workspace_dir`: Working directory path +- `system_prompt_path`: Path to system prompt file +- `tools.*`: Tool enable/disable switches +- `retry.*`: Retry configuration + +### 5. Skills System + +**Files**: `mini_agent/tools/skill_tool.py`, `mini_agent/tools/skill_loader.py` + +Claude Skills are loaded from the `skills/` git submodule using **progressive disclosure**: +- **Level 1**: Metadata (name, description) shown at startup +- **Level 2**: Full content loaded via `get_skill(skill_name)` +- **Level 3+**: Additional resources and scripts as needed + +**Skills include**: PDF, PPTX, DOCX, XLSX, canvas-design, algorithmic-art, testing, MCP-builder, skill-creator, and more. + +### 6. MCP Integration + +**File**: `mini_agent/tools/mcp_loader.py` + +Model Context Protocol (MCP) servers are configured in `mcp.json` and loaded dynamically. Pre-configured servers include: +- **memory**: Knowledge graph memory system +- **minimax_search**: Web search and browse capabilities + +## Development Workflows + +### Setting Up Development Environment + +```bash +# Clone the repository +git clone https://github.com/MiniMax-AI/Mini-Agent.git +cd Mini-Agent + +# Install uv (if not already installed) +curl -LsSf https://astral.sh/uv/install.sh | sh + +# Sync dependencies +uv sync + +# Initialize Claude Skills (optional) +git submodule update --init --recursive + +# Copy config template +cp mini_agent/config/config-example.yaml mini_agent/config/config.yaml + +# Edit config.yaml with your API key +# vim mini_agent/config/config.yaml +``` + +### Running the Agent + +```bash +# Method 1: Run as module (good for debugging) +uv run python -m mini_agent.cli + +# Method 2: Install in editable mode (recommended) +uv tool install -e . +mini-agent +mini-agent --workspace /path/to/project + +# Specify workspace directory +mini-agent --workspace /path/to/your/project +``` + +### Running Tests + +```bash +# Run all tests +pytest tests/ -v + +# Run specific test file +pytest tests/test_agent.py -v + +# Run with coverage +pytest tests/ -v --cov=mini_agent + +# Run core functionality tests +pytest tests/test_agent.py tests/test_note_tool.py -v +``` + +### Code Style and Conventions + +**Commit Message Format**: +``` +(): + +Types: +- feat: New feature +- fix: Bug fix +- docs: Documentation changes +- style: Code style (formatting, no logic change) +- refactor: Code refactoring +- test: Test changes +- chore: Build/tooling changes + +Examples: +- feat(tools): Add new file search tool +- fix(agent): Fix error handling for tool calls +- refactor(llm): Abstract LLM client for multiple providers +``` + +**Python Conventions**: +- Type hints for all function parameters and return values +- Docstrings for all classes and public methods +- Use Pydantic for data validation +- Async/await for I/O operations +- pathlib.Path for file paths + +### Adding a New Tool + +1. Create a new file in `mini_agent/tools/`: +```python +from mini_agent.tools.base import Tool, ToolResult +from typing import Dict, Any + +class MyTool(Tool): + @property + def name(self) -> str: + return "my_tool" + + @property + def description(self) -> str: + return "Description of what this tool does" + + @property + def parameters(self) -> Dict[str, Any]: + return { + "type": "object", + "properties": { + "param1": { + "type": "string", + "description": "First parameter" + } + }, + "required": ["param1"] + } + + async def execute(self, param1: str) -> ToolResult: + try: + # Tool logic here + return ToolResult(success=True, content="Result") + except Exception as e: + return ToolResult(success=False, error=str(e)) +``` + +2. Register the tool in `mini_agent/cli.py`: +```python +from mini_agent.tools.my_tool import MyTool + +tools.append(MyTool()) +``` + +3. Add tests in `tests/test_my_tool.py` + +### Adding MCP Tools + +1. Edit `mini_agent/config/mcp.json`: +```json +{ + "mcpServers": { + "my_mcp_server": { + "disabled": false, + "command": "npx", + "args": ["-y", "@modelcontextprotocol/server-name"], + "env": { + "API_KEY": "your-api-key" + } + } + } +} +``` + +2. The tools will be automatically loaded at startup if `enable_mcp: true` in config.yaml + +## Key Conventions for AI Assistants + +### When Working with This Codebase + +1. **Always Use uv**: This project uses `uv` for dependency management, not pip + ```bash + # Install package + uv pip install package-name + + # Run Python + uv run python script.py + + # Sync dependencies + uv sync + ``` + +2. **Respect the Workspace**: All file operations should be relative to `workspace_dir` unless absolute paths are needed + +3. **Follow the Tool Pattern**: New tools must inherit from `Tool` and implement all required properties + +4. **Test Your Changes**: Always add tests for new features + ```bash + pytest tests/test_your_feature.py -v + ``` + +5. **Use Type Hints**: All new code should include proper type annotations + +6. **Handle Errors Gracefully**: Tools should return `ToolResult(success=False, error=...)` instead of raising exceptions + +7. **Configuration Over Code**: Prefer configuration changes over code modifications when possible + +8. **Document Your Work**: Update relevant documentation when adding features + +### File Modifications + +**Before editing files**: +- Always read the file first to understand current implementation +- Use EditTool for existing files, WriteTool only for new files +- Preserve existing style and formatting +- Keep changes minimal and focused + +**Path handling**: +- Use `pathlib.Path` for all file operations +- Support both absolute and workspace-relative paths +- Create parent directories before writing files + +### Testing Guidelines + +**Test coverage areas**: +- Unit tests for individual tools +- Functional tests for tool interactions +- Integration tests for full agent execution +- Mock external API calls in tests + +**Test file naming**: +- `test_.py` for unit tests +- `test__integration.py` for integration tests + +### Logging and Debugging + +**Log levels**: +- The project uses a custom `AgentLogger` class +- Logs are written to workspace directory +- Enable verbose logging for debugging + +**Debugging tips**: +- Check `workspace/*.log` files for detailed execution logs +- Use `/stats` command in interactive mode to see execution statistics +- Enable thinking blocks to see model reasoning + +### Common Pitfalls to Avoid + +1. **Don't bypass the Tool interface**: All agent capabilities must go through tools +2. **Don't modify git submodules**: The skills directory is a submodule, don't edit it directly +3. **Don't commit config.yaml**: It contains API keys and is gitignored +4. **Don't use pip**: Always use `uv` for package management +5. **Don't skip tests**: Test failures indicate real issues +6. **Don't hard-code paths**: Use workspace_dir from config +7. **Don't ignore token limits**: Context summarization is critical for long tasks + +### Working with Git + +**Branch naming**: +- Feature branches: `feature/description` +- Bug fixes: `fix/description` +- Claude-specific: `claude/claude-md-` + +**Before committing**: +1. Run tests: `pytest tests/ -v` +2. Check git status: `git status` +3. Review changes: `git diff` +4. Use conventional commit messages + +**Pushing changes**: +```bash +# Push to feature branch with retry +git push -u origin + +# If push fails due to network, retry with exponential backoff +``` + +## Important Files and Their Purpose + +| File | Purpose | +|------|---------| +| `mini_agent/agent.py` | Core agent execution loop and context management | +| `mini_agent/cli.py` | Interactive CLI with prompt_toolkit | +| `mini_agent/llm/llm_wrapper.py` | LLM client factory | +| `mini_agent/config.py` | Configuration loading logic | +| `mini_agent/tools/base.py` | Base Tool class - all tools inherit from this | +| `mini_agent/config/config-example.yaml` | Configuration template | +| `mini_agent/config/system_prompt.md` | System prompt for the agent | +| `pyproject.toml` | Project metadata and dependencies | +| `tests/test_agent.py` | Core agent functionality tests | + +## API Documentation Links + +- **MiniMax API**: https://platform.minimaxi.com/document +- **MiniMax-M2**: https://github.com/MiniMax-AI/MiniMax-M2 +- **Anthropic API**: https://docs.anthropic.com/claude/reference +- **Claude Skills**: https://github.com/anthropics/skills +- **MCP Servers**: https://github.com/modelcontextprotocol/servers + +## Troubleshooting + +### SSL Certificate Errors +If encountering `[SSL: CERTIFICATE_VERIFY_FAILED]`: +- Quick fix for testing: Add `verify=False` to httpx.AsyncClient in `mini_agent/llm/` +- Production solution: `pip install --upgrade certifi` + +### Module Not Found +Ensure you're running from the project directory: +```bash +cd Mini-Agent +uv run python -m mini_agent.cli +``` + +### MCP Tools Not Loading +- Check `mcp.json` configuration +- Ensure `enable_mcp: true` in config.yaml +- Check logs in workspace directory +- Verify MCP server dependencies are installed + +### Token Limit Exceeded +- Context summarization should trigger automatically at 80,000 tokens +- Check `token_limit` in config.yaml +- Use `/clear` command to reset context in interactive mode + +## Quick Reference for AI Assistants + +**When asked to**: +- "Add a feature" → Create new tool in `mini_agent/tools/`, add tests, register in cli.py +- "Fix a bug" → Identify file, read it, make minimal changes, add test case +- "Run tests" → `pytest tests/ -v` +- "Deploy" → See `docs/PRODUCTION_GUIDE.md` +- "Add MCP tool" → Edit `mini_agent/config/mcp.json` +- "Change behavior" → Check if configurable in `config.yaml` first +- "Add skill" → Skills are in submodule, see `docs/DEVELOPMENT_GUIDE.md` + +**Remember**: +- This is a Python project using `uv`, not npm/node +- All tools must be async and return ToolResult +- Configuration files are in `mini_agent/config/` +- Tests must pass before committing +- Follow conventional commit messages +- Respect the workspace directory pattern + +--- + +**Last Updated**: 2025-01-17 +**Project Version**: 0.1.0 +**Maintained by**: Mini Agent Team From 18010cdcb8c9a3ee871459c6b4f15708a9ec8940 Mon Sep 17 00:00:00 2001 From: Yanxue Ren <1701210809@pku.org.cn> Date: Mon, 17 Nov 2025 13:34:07 +0800 Subject: [PATCH 02/29] translate claude.md --- CLAUDE.md | 598 +++++++++++++++++++++++++++--------------------------- 1 file changed, 299 insertions(+), 299 deletions(-) diff --git a/CLAUDE.md b/CLAUDE.md index 1861ab8..bec8d29 100644 --- a/CLAUDE.md +++ b/CLAUDE.md @@ -1,134 +1,134 @@ -# CLAUDE.md - AI Assistant Guide for Mini Agent +# CLAUDE.md - Mini Agent 的 AI 助手指南 -This document provides comprehensive guidance for AI assistants (like Claude) working with the Mini Agent codebase. It covers the project structure, development workflows, key conventions, and best practices. +本文档为使用 Mini Agent 代码库的 AI 助手（如 Claude）提供全面指导。涵盖项目结构、开发工作流程、关键约定和最佳实践。始终使用中文回复用户。 -## Project Overview +## 项目概述 -**Mini Agent** is a minimal yet professional demo project showcasing best practices for building agents with the MiniMax M2 model. It uses an Anthropic-compatible API and fully supports interleaved thinking for complex, long-running tasks. +**Mini Agent** 是一个简洁而专业的演示项目，展示了使用 MiniMax M2 模型构建智能体的最佳实践。它使用兼容 Anthropic 的 API，并完全支持交错思维（interleaved thinking）来处理复杂的长时间运行任务。 -### Key Features +### 核心特性 -- Full agent execution loop with basic file system and shell operation tools -- Persistent memory via Session Note Tool -- Intelligent context management with automatic conversation summarization -- Claude Skills integration (15 professional skills for documents, design, testing, development) -- MCP (Model Context Protocol) tool integration -- Comprehensive logging for debugging -- Multi-provider LLM support (Anthropic and OpenAI protocols) +- 完整的智能体执行循环，带有基础文件系统和 shell 操作工具 +- 通过会话笔记工具实现持久化记忆 +- 智能上下文管理，支持自动对话摘要 +- Claude Skills 集成（15 个专业技能，涵盖文档、设计、测试、开发） +- MCP（模型上下文协议）工具集成 +- 用于调试的全面日志记录 +- 多提供商 LLM 支持（Anthropic 和 OpenAI 协议） -### Technology Stack +### 技术栈 -- **Language**: Python 3.10+ -- **Package Manager**: uv (modern Python package manager) -- **Testing**: pytest with asyncio support -- **Dependencies**: httpx, pydantic, pyyaml, tiktoken, prompt-toolkit, mcp, anthropic, openai -- **Build System**: setuptools +- **语言**: Python 3.10+ +- **包管理器**: uv（现代 Python 包管理器） +- **测试**: pytest 配合 asyncio 支持 +- **依赖**: httpx, pydantic, pyyaml, tiktoken, prompt-toolkit, mcp, anthropic, openai +- **构建系统**: setuptools -## Repository Structure +## 仓库结构 ``` Mini-Agent/ -├── mini_agent/ # Core source code +├── mini_agent/ # 核心源代码 │ ├── __init__.py -│ ├── agent.py # Main agent execution loop -│ ├── cli.py # Command-line interface with prompt_toolkit -│ ├── config.py # Configuration loading logic -│ ├── logger.py # Comprehensive logging system -│ ├── retry.py # Retry mechanism with exponential backoff -│ ├── llm/ # LLM client abstraction -│ │ ├── base.py # Abstract base class for LLM clients -│ │ ├── anthropic_client.py # Anthropic API implementation -│ │ ├── openai_client.py # OpenAI API implementation -│ │ └── llm_wrapper.py # LLMClient factory -│ ├── schema/ # Data models -│ │ └── schema.py # Pydantic models for messages, responses, etc. -│ ├── tools/ # Tool implementations -│ │ ├── base.py # Base Tool class and ToolResult +│ ├── agent.py # 主智能体执行循环 +│ ├── cli.py # 使用 prompt_toolkit 的命令行界面 +│ ├── config.py # 配置加载逻辑 +│ ├── logger.py # 全面的日志系统 +│ ├── retry.py # 指数退避的重试机制 +│ ├── llm/ # LLM 客户端抽象 +│ │ ├── base.py # LLM 客户端的抽象基类 +│ │ ├── anthropic_client.py # Anthropic API 实现 +│ │ ├── openai_client.py # OpenAI API 实现 +│ │ └── llm_wrapper.py # LLMClient 工厂 +│ ├── schema/ # 数据模型 +│ │ └── schema.py # 消息、响应等的 Pydantic 模型 +│ ├── tools/ # 工具实现 +│ │ ├── base.py # 基础 Tool 类和 ToolResult │ │ ├── file_tools.py # ReadTool, WriteTool, EditTool │ │ ├── bash_tool.py # BashTool, BashOutputTool, BashKillTool -│ │ ├── note_tool.py # SessionNoteTool for persistent memory -│ │ ├── skill_tool.py # Skill tools (get_skill) -│ │ ├── skill_loader.py # Loads Claude Skills from submodule -│ │ └── mcp_loader.py # MCP server integration -│ ├── skills/ # Claude Skills (git submodule) -│ ├── utils/ # Utility functions -│ │ └── terminal_utils.py # Terminal display width calculations -│ └── config/ # Configuration files -│ ├── config-example.yaml # Configuration template -│ ├── system_prompt.md # System prompt for the agent -│ └── mcp.json # MCP server configuration -├── tests/ # Test suite -│ ├── test_agent.py # Agent integration tests -│ ├── test_llm.py # LLM client tests -│ ├── test_note_tool.py # Session Note Tool tests -│ ├── test_skill_tool.py # Skill tool tests -│ ├── test_mcp.py # MCP loading tests +│ │ ├── note_tool.py # 用于持久化记忆的 SessionNoteTool +│ │ ├── skill_tool.py # Skill 工具 (get_skill) +│ │ ├── skill_loader.py # 从子模块加载 Claude Skills +│ │ └── mcp_loader.py # MCP 服务器集成 +│ ├── skills/ # Claude Skills（git 子模块） +│ ├── utils/ # 工具函数 +│ │ └── terminal_utils.py # 终端显示宽度计算 +│ └── config/ # 配置文件 +│ ├── config-example.yaml # 配置模板 +│ ├── system_prompt.md # 智能体的系统提示 +│ └── mcp.json # MCP 服务器配置 +├── tests/ # 测试套件 +│ ├── test_agent.py # 智能体集成测试 +│ ├── test_llm.py # LLM 客户端测试 +│ ├── test_note_tool.py # 会话笔记工具测试 +│ ├── test_skill_tool.py # Skill 工具测试 +│ ├── test_mcp.py # MCP 加载测试 │ └── ... -├── docs/ # Documentation -│ ├── DEVELOPMENT_GUIDE.md # Detailed development guide -│ └── PRODUCTION_GUIDE.md # Production deployment guide -├── scripts/ # Setup and utility scripts -├── examples/ # Example usage -├── workspace/ # Default workspace directory (gitignored) -├── pyproject.toml # Project configuration and dependencies -├── uv.lock # Locked dependencies -├── README.md # Main documentation -└── CONTRIBUTING.md # Contribution guidelines +├── docs/ # 文档 +│ ├── DEVELOPMENT_GUIDE.md # 详细开发指南 +│ └── PRODUCTION_GUIDE.md # 生产部署指南 +├── scripts/ # 设置和工具脚本 +├── examples/ # 使用示例 +├── workspace/ # 默认工作空间目录（已忽略） +├── pyproject.toml # 项目配置和依赖 +├── uv.lock # 锁定的依赖 +├── README.md # 主文档 +└── CONTRIBUTING.md # 贡献指南 ``` -## Core Architecture +## 核心架构 -### 1. Agent Execution Loop +### 1. 智能体执行循环 -**File**: `mini_agent/agent.py` +**文件**: `mini_agent/agent.py` -The `Agent` class implements the core execution loop: +`Agent` 类实现了核心执行循环： -- **Message Management**: Maintains conversation history with automatic token counting -- **Context Summarization**: Automatically summarizes history when token limit is exceeded (default: 80,000 tokens) -- **Tool Execution**: Manages tool calls and results -- **Step Limiting**: Prevents infinite loops with configurable max_steps (default: 100) -- **Workspace Management**: Handles workspace directory and path resolution +- **消息管理**: 维护对话历史记录并自动计算 token +- **上下文摘要**: 当超过 token 限制时自动摘要历史记录（默认：80,000 tokens） +- **工具执行**: 管理工具调用和结果 +- **步骤限制**: 通过可配置的 max_steps 防止无限循环（默认：100） +- **工作空间管理**: 处理工作空间目录和路径解析 -**Key Methods**: -- `run(task: str)`: Main execution loop for a task -- `add_user_message(content: str)`: Add user message to history -- `_estimate_tokens()`: Accurate token counting using tiktoken -- `_summarize_history()`: Intelligent context compression +**关键方法**: +- `run(task: str)`: 任务的主执行循环 +- `add_user_message(content: str)`: 向历史记录添加用户消息 +- `_estimate_tokens()`: 使用 tiktoken 精确计算 token +- `_summarize_history()`: 智能上下文压缩 -### 2. LLM Client Abstraction +### 2. LLM 客户端抽象 -**Files**: `mini_agent/llm/` +**文件**: `mini_agent/llm/` -The LLM layer has been abstracted to support multiple providers: +LLM 层已被抽象化以支持多个提供商： -- **`base.py`**: Defines `LLMClientBase` abstract interface -- **`anthropic_client.py`**: Anthropic Messages API implementation -- **`openai_client.py`**: OpenAI Chat Completions API implementation -- **`llm_wrapper.py`**: Factory that creates appropriate client based on configuration +- **`base.py`**: 定义 `LLMClientBase` 抽象接口 +- **`anthropic_client.py`**: Anthropic Messages API 实现 +- **`openai_client.py`**: OpenAI Chat Completions API 实现 +- **`llm_wrapper.py`**: 根据配置创建适当客户端的工厂 -**Key Features**: -- Provider-agnostic interface -- Automatic API endpoint construction (appends `/anthropic` or `/v1`) -- Retry mechanism with exponential backoff -- Thinking block support (for models that support it) -- Tool calling standardization +**关键特性**: +- 与提供商无关的接口 +- 自动 API 端点构建（附加 `/anthropic` 或 `/v1`） +- 指数退避的重试机制 +- 思维块支持（针对支持它的模型） +- 工具调用标准化 -**Configuration**: +**配置**: ```yaml -provider: "anthropic" # or "openai" +provider: "anthropic" # 或 "openai" api_key: "YOUR_API_KEY" api_base: "https://api.minimax.io" model: "MiniMax-M2" ``` -### 3. Tools System +### 3. 工具系统 -**Files**: `mini_agent/tools/` +**文件**: `mini_agent/tools/` -All tools inherit from the `Tool` base class in `base.py`: +所有工具都继承自 `base.py` 中的 `Tool` 基类： -**Tool Interface**: +**工具接口**: ```python class Tool: @property @@ -142,146 +142,146 @@ class Tool: async def execute(self, *args, **kwargs) -> ToolResult: ... - def to_schema(self) -> dict: ... # Anthropic format - def to_openai_schema(self) -> dict: ... # OpenAI format + def to_schema(self) -> dict: ... # Anthropic 格式 + def to_openai_schema(self) -> dict: ... # OpenAI 格式 ``` -**Built-in Tools**: -- **ReadTool**: Read file contents with optional line range -- **WriteTool**: Create or overwrite files -- **EditTool**: Edit existing files using old/new string replacement -- **BashTool**: Execute bash commands with timeout -- **BashOutputTool**: Read output from background bash processes -- **BashKillTool**: Kill background bash processes -- **SessionNoteTool**: Persistent note-taking for session memory -- **get_skill**: Load Claude Skills dynamically +**内置工具**: +- **ReadTool**: 读取文件内容，支持可选的行范围 +- **WriteTool**: 创建或覆盖文件 +- **EditTool**: 使用旧/新字符串替换编辑现有文件 +- **BashTool**: 执行带超时的 bash 命令 +- **BashOutputTool**: 读取后台 bash 进程的输出 +- **BashKillTool**: 终止后台 bash 进程 +- **SessionNoteTool**: 用于会话记忆的持久化笔记 +- **get_skill**: 动态加载 Claude Skills -### 4. Configuration System +### 4. 配置系统 -**File**: `mini_agent/config.py` +**文件**: `mini_agent/config.py` -Configuration is loaded from YAML files in priority order: -1. `mini_agent/config/config.yaml` (development mode) -2. `~/.mini-agent/config/config.yaml` (user config) -3. Package installation directory config +配置按优先级从 YAML 文件加载： +1. `mini_agent/config/config.yaml`（开发模式） +2. `~/.mini-agent/config/config.yaml`（用户配置） +3. 包安装目录配置 -**Key Configuration Options**: -- `api_key`: MiniMax API key -- `api_base`: API endpoint URL -- `model`: Model name (e.g., "MiniMax-M2") -- `provider`: LLM provider ("anthropic" or "openai") -- `max_steps`: Maximum execution steps (default: 100) -- `workspace_dir`: Working directory path -- `system_prompt_path`: Path to system prompt file -- `tools.*`: Tool enable/disable switches -- `retry.*`: Retry configuration +**关键配置选项**: +- `api_key`: MiniMax API 密钥 +- `api_base`: API 端点 URL +- `model`: 模型名称（如 "MiniMax-M2"） +- `provider`: LLM 提供商（"anthropic" 或 "openai"） +- `max_steps`: 最大执行步数（默认：100） +- `workspace_dir`: 工作目录路径 +- `system_prompt_path`: 系统提示文件路径 +- `tools.*`: 工具启用/禁用开关 +- `retry.*`: 重试配置 -### 5. Skills System +### 5. Skills 系统 -**Files**: `mini_agent/tools/skill_tool.py`, `mini_agent/tools/skill_loader.py` +**文件**: `mini_agent/tools/skill_tool.py`, `mini_agent/tools/skill_loader.py` -Claude Skills are loaded from the `skills/` git submodule using **progressive disclosure**: -- **Level 1**: Metadata (name, description) shown at startup -- **Level 2**: Full content loaded via `get_skill(skill_name)` -- **Level 3+**: Additional resources and scripts as needed +Claude Skills 使用**渐进式披露**从 `skills/` git 子模块加载： +- **第 1 级**: 启动时显示元数据（名称、描述） +- **第 2 级**: 通过 `get_skill(skill_name)` 加载完整内容 +- **第 3 级及以上**: 根据需要加载额外的资源和脚本 -**Skills include**: PDF, PPTX, DOCX, XLSX, canvas-design, algorithmic-art, testing, MCP-builder, skill-creator, and more. +**Skills 包括**: PDF、PPTX、DOCX、XLSX、canvas-design、algorithmic-art、testing、MCP-builder、skill-creator 等。 -### 6. MCP Integration +### 6. MCP 集成 -**File**: `mini_agent/tools/mcp_loader.py` +**文件**: `mini_agent/tools/mcp_loader.py` -Model Context Protocol (MCP) servers are configured in `mcp.json` and loaded dynamically. Pre-configured servers include: -- **memory**: Knowledge graph memory system -- **minimax_search**: Web search and browse capabilities +模型上下文协议（MCP）服务器在 `mcp.json` 中配置并动态加载。预配置的服务器包括： +- **memory**: 知识图谱记忆系统 +- **minimax_search**: 网页搜索和浏览功能 -## Development Workflows +## 开发工作流程 -### Setting Up Development Environment +### 设置开发环境 ```bash -# Clone the repository +# 克隆仓库 git clone https://github.com/MiniMax-AI/Mini-Agent.git cd Mini-Agent -# Install uv (if not already installed) +# 安装 uv（如果尚未安装） curl -LsSf https://astral.sh/uv/install.sh | sh -# Sync dependencies +# 同步依赖 uv sync -# Initialize Claude Skills (optional) +# 初始化 Claude Skills（可选） git submodule update --init --recursive -# Copy config template +# 复制配置模板 cp mini_agent/config/config-example.yaml mini_agent/config/config.yaml -# Edit config.yaml with your API key +# 使用你的 API 密钥编辑 config.yaml # vim mini_agent/config/config.yaml ``` -### Running the Agent +### 运行智能体 ```bash -# Method 1: Run as module (good for debugging) +# 方法 1：作为模块运行（适合调试） uv run python -m mini_agent.cli -# Method 2: Install in editable mode (recommended) +# 方法 2：以可编辑模式安装（推荐） uv tool install -e . mini-agent mini-agent --workspace /path/to/project -# Specify workspace directory +# 指定工作空间目录 mini-agent --workspace /path/to/your/project ``` -### Running Tests +### 运行测试 ```bash -# Run all tests +# 运行所有测试 pytest tests/ -v -# Run specific test file +# 运行特定测试文件 pytest tests/test_agent.py -v -# Run with coverage +# 运行带覆盖率的测试 pytest tests/ -v --cov=mini_agent -# Run core functionality tests +# 运行核心功能测试 pytest tests/test_agent.py tests/test_note_tool.py -v ``` -### Code Style and Conventions +### 代码风格和约定 -**Commit Message Format**: +**提交信息格式**: ``` -(): - -Types: -- feat: New feature -- fix: Bug fix -- docs: Documentation changes -- style: Code style (formatting, no logic change) -- refactor: Code refactoring -- test: Test changes -- chore: Build/tooling changes - -Examples: -- feat(tools): Add new file search tool -- fix(agent): Fix error handling for tool calls -- refactor(llm): Abstract LLM client for multiple providers +<类型>(<范围>): <描述> + +类型: +- feat: 新功能 +- fix: 错误修复 +- docs: 文档更改 +- style: 代码风格（格式化，无逻辑更改） +- refactor: 代码重构 +- test: 测试更改 +- chore: 构建/工具更改 + +示例: +- feat(tools): 添加新的文件搜索工具 +- fix(agent): 修复工具调用的错误处理 +- refactor(llm): 为多个提供商抽象 LLM 客户端 ``` -**Python Conventions**: -- Type hints for all function parameters and return values -- Docstrings for all classes and public methods -- Use Pydantic for data validation -- Async/await for I/O operations -- pathlib.Path for file paths +**Python 约定**: +- 所有函数参数和返回值都使用类型提示 +- 所有类和公共方法都有文档字符串 +- 使用 Pydantic 进行数据验证 +- 使用 async/await 处理 I/O 操作 +- 使用 pathlib.Path 处理文件路径 -### Adding a New Tool +### 添加新工具 -1. Create a new file in `mini_agent/tools/`: +1. 在 `mini_agent/tools/` 中创建新文件： ```python from mini_agent.tools.base import Tool, ToolResult from typing import Dict, Any @@ -293,7 +293,7 @@ class MyTool(Tool): @property def description(self) -> str: - return "Description of what this tool does" + return "此工具的功能描述" @property def parameters(self) -> Dict[str, Any]: @@ -302,7 +302,7 @@ class MyTool(Tool): "properties": { "param1": { "type": "string", - "description": "First parameter" + "description": "第一个参数" } }, "required": ["param1"] @@ -310,24 +310,24 @@ class MyTool(Tool): async def execute(self, param1: str) -> ToolResult: try: - # Tool logic here - return ToolResult(success=True, content="Result") + # 工具逻辑在这里 + return ToolResult(success=True, content="结果") except Exception as e: return ToolResult(success=False, error=str(e)) ``` -2. Register the tool in `mini_agent/cli.py`: +2. 在 `mini_agent/cli.py` 中注册工具： ```python from mini_agent.tools.my_tool import MyTool tools.append(MyTool()) ``` -3. Add tests in `tests/test_my_tool.py` +3. 在 `tests/test_my_tool.py` 中添加测试 -### Adding MCP Tools +### 添加 MCP 工具 -1. Edit `mini_agent/config/mcp.json`: +1. 编辑 `mini_agent/config/mcp.json`： ```json { "mcpServers": { @@ -343,124 +343,124 @@ tools.append(MyTool()) } ``` -2. The tools will be automatically loaded at startup if `enable_mcp: true` in config.yaml +2. 如果 config.yaml 中设置了 `enable_mcp: true`，工具将在启动时自动加载 -## Key Conventions for AI Assistants +## AI 助手的关键约定 -### When Working with This Codebase +### 使用此代码库时 -1. **Always Use uv**: This project uses `uv` for dependency management, not pip +1. **始终使用 uv**: 此项目使用 `uv` 进行依赖管理，而不是 pip ```bash - # Install package + # 安装包 uv pip install package-name - # Run Python + # 运行 Python uv run python script.py - # Sync dependencies + # 同步依赖 uv sync ``` -2. **Respect the Workspace**: All file operations should be relative to `workspace_dir` unless absolute paths are needed +2. **尊重工作空间**: 除非需要绝对路径，否则所有文件操作都应相对于 `workspace_dir` -3. **Follow the Tool Pattern**: New tools must inherit from `Tool` and implement all required properties +3. **遵循工具模式**: 新工具必须继承自 `Tool` 并实现所有必需的属性 -4. **Test Your Changes**: Always add tests for new features +4. **测试你的更改**: 始终为新功能添加测试 ```bash pytest tests/test_your_feature.py -v ``` -5. **Use Type Hints**: All new code should include proper type annotations +5. **使用类型提示**: 所有新代码都应包含适当的类型注解 -6. **Handle Errors Gracefully**: Tools should return `ToolResult(success=False, error=...)` instead of raising exceptions +6. **优雅地处理错误**: 工具应返回 `ToolResult(success=False, error=...)` 而不是抛出异常 -7. **Configuration Over Code**: Prefer configuration changes over code modifications when possible +7. **配置优于代码**: 尽可能优先选择配置更改而不是代码修改 -8. **Document Your Work**: Update relevant documentation when adding features +8. **记录你的工作**: 添加功能时更新相关文档 -### File Modifications +### 文件修改 -**Before editing files**: -- Always read the file first to understand current implementation -- Use EditTool for existing files, WriteTool only for new files -- Preserve existing style and formatting -- Keep changes minimal and focused +**编辑文件之前**: +- 始终先读取文件以了解当前实现 +- 对现有文件使用 EditTool，仅对新文件使用 WriteTool +- 保持现有的风格和格式 +- 保持更改最小化和集中 -**Path handling**: -- Use `pathlib.Path` for all file operations -- Support both absolute and workspace-relative paths -- Create parent directories before writing files +**路径处理**: +- 对所有文件操作使用 `pathlib.Path` +- 支持绝对路径和工作空间相对路径 +- 写入文件之前创建父目录 -### Testing Guidelines +### 测试指南 -**Test coverage areas**: -- Unit tests for individual tools -- Functional tests for tool interactions -- Integration tests for full agent execution -- Mock external API calls in tests +**测试覆盖范围**: +- 单个工具的单元测试 +- 工具交互的功能测试 +- 完整智能体执行的集成测试 +- 在测试中模拟外部 API 调用 -**Test file naming**: -- `test_.py` for unit tests -- `test__integration.py` for integration tests +**测试文件命名**: +- `test_<模块名>.py` 用于单元测试 +- `test_<功能>_integration.py` 用于集成测试 -### Logging and Debugging +### 日志和调试 -**Log levels**: -- The project uses a custom `AgentLogger` class -- Logs are written to workspace directory -- Enable verbose logging for debugging +**日志级别**: +- 项目使用自定义的 `AgentLogger` 类 +- 日志写入工作空间目录 +- 启用详细日志记录以进行调试 -**Debugging tips**: -- Check `workspace/*.log` files for detailed execution logs -- Use `/stats` command in interactive mode to see execution statistics -- Enable thinking blocks to see model reasoning +**调试技巧**: +- 检查 `workspace/*.log` 文件以获取详细的执行日志 +- 在交互模式下使用 `/stats` 命令查看执行统计信息 +- 启用思维块以查看模型推理 -### Common Pitfalls to Avoid +### 要避免的常见陷阱 -1. **Don't bypass the Tool interface**: All agent capabilities must go through tools -2. **Don't modify git submodules**: The skills directory is a submodule, don't edit it directly -3. **Don't commit config.yaml**: It contains API keys and is gitignored -4. **Don't use pip**: Always use `uv` for package management -5. **Don't skip tests**: Test failures indicate real issues -6. **Don't hard-code paths**: Use workspace_dir from config -7. **Don't ignore token limits**: Context summarization is critical for long tasks +1. **不要绕过工具接口**: 所有智能体功能都必须通过工具 +2. **不要修改 git 子模块**: skills 目录是子模块，不要直接编辑 +3. **不要提交 config.yaml**: 它包含 API 密钥并已被忽略 +4. **不要使用 pip**: 始终使用 `uv` 进行包管理 +5. **不要跳过测试**: 测试失败表示真实的问题 +6. **不要硬编码路径**: 使用配置中的 workspace_dir +7. **不要忽略 token 限制**: 上下文摘要对长任务至关重要 -### Working with Git +### 使用 Git -**Branch naming**: -- Feature branches: `feature/description` -- Bug fixes: `fix/description` -- Claude-specific: `claude/claude-md-` +**分支命名**: +- 功能分支：`feature/description` +- 错误修复：`fix/description` +- Claude 特定：`claude/claude-md-` -**Before committing**: -1. Run tests: `pytest tests/ -v` -2. Check git status: `git status` -3. Review changes: `git diff` -4. Use conventional commit messages +**提交之前**: +1. 运行测试：`pytest tests/ -v` +2. 检查 git 状态：`git status` +3. 审查更改：`git diff` +4. 使用常规提交消息 -**Pushing changes**: +**推送更改**: ```bash -# Push to feature branch with retry -git push -u origin +# 推送到功能分支并重试 +git push -u origin <分支名> -# If push fails due to network, retry with exponential backoff +# 如果由于网络推送失败，使用指数退避重试 ``` -## Important Files and Their Purpose +## 重要文件及其用途 -| File | Purpose | +| 文件 | 用途 | |------|---------| -| `mini_agent/agent.py` | Core agent execution loop and context management | -| `mini_agent/cli.py` | Interactive CLI with prompt_toolkit | -| `mini_agent/llm/llm_wrapper.py` | LLM client factory | -| `mini_agent/config.py` | Configuration loading logic | -| `mini_agent/tools/base.py` | Base Tool class - all tools inherit from this | -| `mini_agent/config/config-example.yaml` | Configuration template | -| `mini_agent/config/system_prompt.md` | System prompt for the agent | -| `pyproject.toml` | Project metadata and dependencies | -| `tests/test_agent.py` | Core agent functionality tests | - -## API Documentation Links +| `mini_agent/agent.py` | 核心智能体执行循环和上下文管理 | +| `mini_agent/cli.py` | 使用 prompt_toolkit 的交互式 CLI | +| `mini_agent/llm/llm_wrapper.py` | LLM 客户端工厂 | +| `mini_agent/config.py` | 配置加载逻辑 | +| `mini_agent/tools/base.py` | 基础 Tool 类 - 所有工具都继承自此 | +| `mini_agent/config/config-example.yaml` | 配置模板 | +| `mini_agent/config/system_prompt.md` | 智能体的系统提示 | +| `pyproject.toml` | 项目元数据和依赖 | +| `tests/test_agent.py` | 核心智能体功能测试 | + +## API 文档链接 - **MiniMax API**: https://platform.minimaxi.com/document - **MiniMax-M2**: https://github.com/MiniMax-AI/MiniMax-M2 @@ -468,52 +468,52 @@ git push -u origin - **Claude Skills**: https://github.com/anthropics/skills - **MCP Servers**: https://github.com/modelcontextprotocol/servers -## Troubleshooting +## 故障排除 -### SSL Certificate Errors -If encountering `[SSL: CERTIFICATE_VERIFY_FAILED]`: -- Quick fix for testing: Add `verify=False` to httpx.AsyncClient in `mini_agent/llm/` -- Production solution: `pip install --upgrade certifi` +### SSL 证书错误 +如果遇到 `[SSL: CERTIFICATE_VERIFY_FAILED]`： +- 测试的快速修复：在 `mini_agent/llm/` 中的 httpx.AsyncClient 添加 `verify=False` +- 生产解决方案：`pip install --upgrade certifi` -### Module Not Found -Ensure you're running from the project directory: +### 模块未找到 +确保从项目目录运行： ```bash cd Mini-Agent uv run python -m mini_agent.cli ``` -### MCP Tools Not Loading -- Check `mcp.json` configuration -- Ensure `enable_mcp: true` in config.yaml -- Check logs in workspace directory -- Verify MCP server dependencies are installed - -### Token Limit Exceeded -- Context summarization should trigger automatically at 80,000 tokens -- Check `token_limit` in config.yaml -- Use `/clear` command to reset context in interactive mode - -## Quick Reference for AI Assistants - -**When asked to**: -- "Add a feature" → Create new tool in `mini_agent/tools/`, add tests, register in cli.py -- "Fix a bug" → Identify file, read it, make minimal changes, add test case -- "Run tests" → `pytest tests/ -v` -- "Deploy" → See `docs/PRODUCTION_GUIDE.md` -- "Add MCP tool" → Edit `mini_agent/config/mcp.json` -- "Change behavior" → Check if configurable in `config.yaml` first -- "Add skill" → Skills are in submodule, see `docs/DEVELOPMENT_GUIDE.md` - -**Remember**: -- This is a Python project using `uv`, not npm/node -- All tools must be async and return ToolResult -- Configuration files are in `mini_agent/config/` -- Tests must pass before committing -- Follow conventional commit messages -- Respect the workspace directory pattern +### MCP 工具未加载 +- 检查 `mcp.json` 配置 +- 确保 config.yaml 中 `enable_mcp: true` +- 检查工作空间目录中的日志 +- 验证 MCP 服务器依赖已安装 + +### Token 限制超出 +- 上下文摘要应在 80,000 tokens 时自动触发 +- 检查 config.yaml 中的 `token_limit` +- 在交互模式下使用 `/clear` 命令重置上下文 + +## AI 助手快速参考 + +**当被要求**: +- "添加功能" → 在 `mini_agent/tools/` 中创建新工具，添加测试，在 cli.py 中注册 +- "修复错误" → 识别文件，读取它，进行最小更改，添加测试用例 +- "运行测试" → `pytest tests/ -v` +- "部署" → 参见 `docs/PRODUCTION_GUIDE.md` +- "添加 MCP 工具" → 编辑 `mini_agent/config/mcp.json` +- "更改行为" → 首先检查是否可以在 `config.yaml` 中配置 +- "添加 skill" → Skills 在子模块中，参见 `docs/DEVELOPMENT_GUIDE.md` + +**记住**: +- 这是使用 `uv` 的 Python 项目，不是 npm/node +- 所有工具必须是异步的并返回 ToolResult +- 配置文件在 `mini_agent/config/` 中 +- 提交前测试必须通过 +- 遵循常规提交消息 +- 尊重工作空间目录模式 --- -**Last Updated**: 2025-01-17 -**Project Version**: 0.1.0 -**Maintained by**: Mini Agent Team +**最后更新**: 2025-01-17 +**项目版本**: 0.1.0 +**维护者**: Mini Agent 团队 From eb0bd74e1640d6d14deb0827ceaeb310f1cbdf57 Mon Sep 17 00:00:00 2001 From: Claude Date: Mon, 17 Nov 2025 06:03:15 +0000 Subject: [PATCH 03/29] =?UTF-8?q?fix(llm):=20=E4=BF=AE=E5=A4=8D=20OpenAI?= =?UTF-8?q?=20=E5=AE=A2=E6=88=B7=E7=AB=AF=E5=AF=B9=E9=9D=9E=20MiniMax=20?= =?UTF-8?q?=E6=A8=A1=E5=9E=8B=E7=9A=84=E5=85=BC=E5=AE=B9=E6=80=A7=E9=97=AE?= =?UTF-8?q?=E9=A2=98?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit 问题： - 使用智谱 GLM 等非 MiniMax 模型时，API 返回 response.choices 为 None - reasoning_split 是 MiniMax 特有的参数，其他模型不支持 修复： 1. 在 OpenAIClient 添加 enable_reasoning_split 参数 2. 只对 MiniMax 模型启用 reasoning_split（自动检测） 3. 添加完善的空值检查和错误处理 4. 添加详细的日志记录以便调试 影响： - GLM、GPT 等模型现在可以正常工作 - MiniMax 模型保持原有的 reasoning_split 功能 - 更好的错误提示帮助调试问题 --- debug_api.py | 78 +++++++++++++++++++++++++++++++++ mini_agent/llm/llm_wrapper.py | 6 +++ mini_agent/llm/openai_client.py | 25 ++++++++++- 3 files changed, 107 insertions(+), 2 deletions(-) create mode 100644 debug_api.py diff --git a/debug_api.py b/debug_api.py new file mode 100644 index 0000000..467206d --- /dev/null +++ b/debug_api.py @@ -0,0 +1,78 @@ +"""Debug script to test GLM API response.""" + +import asyncio +from pathlib import Path +import yaml +from openai import AsyncOpenAI + +async def test_glm_api(): + """Test GLM API directly to see the actual response.""" + # Load config + config_path = Path("mini_agent/config/config.yaml") + with open(config_path, encoding="utf-8") as f: + config = yaml.safe_load(f) + + print(f"API Base: {config['api_base']}") + print(f"Model: {config['model']}") + + # Create client + client = AsyncOpenAI( + api_key=config["api_key"], + base_url=config["api_base"], + ) + + # Test 1: Simple request without extra_body + print("\n" + "="*80) + print("Test 1: Simple request WITHOUT reasoning_split") + print("="*80) + try: + response = await client.chat.completions.create( + model=config["model"], + messages=[ + {"role": "system", "content": "You are a helpful assistant."}, + {"role": "user", "content": "Say 'Hello' and nothing else."}, + ], + ) + print(f"Response type: {type(response)}") + print(f"Response: {response}") + print(f"Has choices: {hasattr(response, 'choices')}") + if hasattr(response, 'choices'): + print(f"Choices: {response.choices}") + if response.choices: + print(f"First choice: {response.choices[0]}") + print(f"Message: {response.choices[0].message}") + print(f"Content: {response.choices[0].message.content}") + except Exception as e: + print(f"Error: {e}") + import traceback + traceback.print_exc() + + # Test 2: Request with reasoning_split + print("\n" + "="*80) + print("Test 2: Request WITH reasoning_split") + print("="*80) + try: + response = await client.chat.completions.create( + model=config["model"], + messages=[ + {"role": "system", "content": "You are a helpful assistant."}, + {"role": "user", "content": "Say 'Hello' and nothing else."}, + ], + extra_body={"reasoning_split": True}, + ) + print(f"Response type: {type(response)}") + print(f"Response: {response}") + print(f"Has choices: {hasattr(response, 'choices')}") + if hasattr(response, 'choices'): + print(f"Choices: {response.choices}") + if response.choices: + print(f"First choice: {response.choices[0]}") + print(f"Message: {response.choices[0].message}") + print(f"Content: {response.choices[0].message.content}") + except Exception as e: + print(f"Error: {e}") + import traceback + traceback.print_exc() + +if __name__ == "__main__": + asyncio.run(test_glm_api()) diff --git a/mini_agent/llm/llm_wrapper.py b/mini_agent/llm/llm_wrapper.py index 8250fb7..e4fbdcc 100644 --- a/mini_agent/llm/llm_wrapper.py +++ b/mini_agent/llm/llm_wrapper.py @@ -73,12 +73,18 @@ def __init__( retry_config=retry_config, ) elif provider == LLMProvider.OPENAI: + # Auto-detect if we should enable reasoning_split + # Only enable for MiniMax models, disable for others (e.g., GLM, GPT) + enable_reasoning_split = model.startswith("MiniMax") + self._client = OpenAIClient( api_key=api_key, api_base=full_api_base, model=model, retry_config=retry_config, + enable_reasoning_split=enable_reasoning_split, ) + logger.info("OpenAI client reasoning_split: %s (model: %s)", enable_reasoning_split, model) else: raise ValueError(f"Unsupported provider: {provider}") diff --git a/mini_agent/llm/openai_client.py b/mini_agent/llm/openai_client.py index b8f891c..4e5f55a 100644 --- a/mini_agent/llm/openai_client.py +++ b/mini_agent/llm/openai_client.py @@ -28,6 +28,7 @@ def __init__( api_base: str = "https://api.minimaxi.com/v1", model: str = "MiniMax-M2", retry_config: RetryConfig | None = None, + enable_reasoning_split: bool = True, ): """Initialize OpenAI client. @@ -36,6 +37,7 @@ def __init__( api_base: Base URL for the API (default: MiniMax OpenAI endpoint) model: Model name to use (default: MiniMax-M2) retry_config: Optional retry configuration + enable_reasoning_split: Enable reasoning_split parameter (default: True for MiniMax) """ super().__init__(api_key, api_base, model, retry_config) @@ -45,6 +47,9 @@ def __init__( base_url=api_base, ) + # Store whether to use reasoning_split + self.enable_reasoning_split = enable_reasoning_split + async def _make_api_request( self, api_messages: list[dict[str, Any]], @@ -65,15 +70,31 @@ async def _make_api_request( params = { "model": self.model, "messages": api_messages, - # Enable reasoning_split to separate thinking content - "extra_body": {"reasoning_split": True}, } + # Only add reasoning_split if enabled (MiniMax-specific feature) + if self.enable_reasoning_split: + params["extra_body"] = {"reasoning_split": True} + if tools: params["tools"] = self._convert_tools(tools) # Use OpenAI SDK's chat.completions.create response = await self.client.chat.completions.create(**params) + + # Add null checks and better error handling + if response is None: + logger.error("API returned None response") + raise ValueError("API returned None response") + + if not hasattr(response, 'choices') or response.choices is None: + logger.error(f"API response missing choices field. Response: {response}") + raise ValueError(f"API response missing choices field. Response type: {type(response)}") + + if len(response.choices) == 0: + logger.error(f"API response has empty choices array. Response: {response}") + raise ValueError("API response has empty choices array") + return response.choices[0].message def _convert_tools(self, tools: list[Any]) -> list[dict[str, Any]]: From 760325e5ee82160c28abba69449030890e877318 Mon Sep 17 00:00:00 2001 From: Claude Date: Mon, 17 Nov 2025 06:09:08 +0000 Subject: [PATCH 04/29] =?UTF-8?q?feat(llm):=20=E6=B7=BB=E5=8A=A0=E6=99=BA?= =?UTF-8?q?=E8=B0=B1=20GLM=20=E6=8E=A8=E7=90=86=E5=86=85=E5=AE=B9=E6=A0=BC?= =?UTF-8?q?=E5=BC=8F=E6=94=AF=E6=8C=81?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit 问题： - 智谱 GLM 使用 reasoning_content 字段（字符串格式） - MiniMax 使用 reasoning_details 字段（列表格式） - 之前的代码只支持 MiniMax 格式，导致 GLM 的思考内容丢失 改进： 1. 自动检测模型类型和推理格式 - GLM 模型 -> reasoning_content (字符串) - MiniMax 模型 -> reasoning_details (列表) - 其他模型 -> 不启用推理 2. 响应解析支持两种格式 - 优先检查 reasoning_content (GLM) - 回退到 reasoning_details (MiniMax) - 添加详细的调试日志 3. 消息转换支持两种格式 - 发送历史消息时使用正确的格式 - 确保交错思维（Interleaved Thinking）正常工作 4. LLMClient 自动启用 GLM 的 reasoning_split - GLM 和 MiniMax 都支持该参数 - GPT 等其他模型自动禁用 影响： - GLM 模型现在可以完整支持交错思维 - MiniMax 保持原有功能 - 更好的跨模型兼容性 --- mini_agent/llm/llm_wrapper.py | 7 ++- mini_agent/llm/openai_client.py | 34 ++++++++++++--- test_glm_fix.py | 77 +++++++++++++++++++++++++++++++++ 3 files changed, 110 insertions(+), 8 deletions(-) create mode 100644 test_glm_fix.py diff --git a/mini_agent/llm/llm_wrapper.py b/mini_agent/llm/llm_wrapper.py index e4fbdcc..bde30c4 100644 --- a/mini_agent/llm/llm_wrapper.py +++ b/mini_agent/llm/llm_wrapper.py @@ -74,8 +74,11 @@ def __init__( ) elif provider == LLMProvider.OPENAI: # Auto-detect if we should enable reasoning_split - # Only enable for MiniMax models, disable for others (e.g., GLM, GPT) - enable_reasoning_split = model.startswith("MiniMax") + # Enable for MiniMax and GLM models (both support interleaved thinking) + # Disable for standard GPT models + enable_reasoning_split = ( + model.startswith("MiniMax") or model.lower().startswith("glm") + ) self._client = OpenAIClient( api_key=api_key, diff --git a/mini_agent/llm/openai_client.py b/mini_agent/llm/openai_client.py index 4e5f55a..efa5016 100644 --- a/mini_agent/llm/openai_client.py +++ b/mini_agent/llm/openai_client.py @@ -50,6 +50,16 @@ def __init__( # Store whether to use reasoning_split self.enable_reasoning_split = enable_reasoning_split + # Auto-detect reasoning format based on model name + # GLM uses "reasoning_content" (string), MiniMax uses "reasoning_details" (list) + self.reasoning_format = "none" + if model.lower().startswith("glm"): + self.reasoning_format = "glm" # GLM format: reasoning_content + logger.info("Using GLM reasoning format (reasoning_content)") + elif model.startswith("MiniMax"): + self.reasoning_format = "minimax" # MiniMax format: reasoning_details + logger.info("Using MiniMax reasoning format (reasoning_details)") + async def _make_api_request( self, api_messages: list[dict[str, Any]], @@ -177,13 +187,18 @@ def _convert_messages(self, messages: list[Message]) -> tuple[str | None, list[d ) assistant_msg["tool_calls"] = tool_calls_list - # IMPORTANT: Add reasoning_details if thinking is present + # IMPORTANT: Add reasoning content if thinking is present # This is CRITICAL for Interleaved Thinking to work properly! - # The complete response_message (including reasoning_details) must be + # The complete response_message (including reasoning content) must be # preserved in Message History and passed back to the model in the next turn. # This ensures the model's chain of thought is not interrupted. if msg.thinking: - assistant_msg["reasoning_details"] = [{"text": msg.thinking}] + if self.reasoning_format == "glm": + # GLM format: reasoning_content (string) + assistant_msg["reasoning_content"] = msg.thinking + elif self.reasoning_format == "minimax": + # MiniMax format: reasoning_details (list) + assistant_msg["reasoning_details"] = [{"text": msg.thinking}] api_messages.append(assistant_msg) @@ -232,13 +247,20 @@ def _parse_response(self, response: Any) -> LLMResponse: # Extract text content text_content = response.content or "" - # Extract thinking content from reasoning_details + # Extract thinking content - support both MiniMax and GLM formats thinking_content = "" - if hasattr(response, "reasoning_details") and response.reasoning_details: - # reasoning_details is a list of reasoning blocks + + # Method 1: GLM format - reasoning_content (string) + if hasattr(response, "reasoning_content") and response.reasoning_content: + thinking_content = response.reasoning_content + logger.debug("Extracted reasoning from reasoning_content (GLM format)") + + # Method 2: MiniMax format - reasoning_details (list) + elif hasattr(response, "reasoning_details") and response.reasoning_details: for detail in response.reasoning_details: if hasattr(detail, "text"): thinking_content += detail.text + logger.debug("Extracted reasoning from reasoning_details (MiniMax format)") # Extract tool calls tool_calls = [] diff --git a/test_glm_fix.py b/test_glm_fix.py new file mode 100644 index 0000000..87b0b07 --- /dev/null +++ b/test_glm_fix.py @@ -0,0 +1,77 @@ +"""Test GLM support after fixes.""" + +import asyncio +from pathlib import Path +import yaml + +from mini_agent.llm import LLMClient +from mini_agent.schema import LLMProvider, Message + + +async def test_glm_with_llm_client(): + """Test GLM using LLMClient wrapper.""" + print("\n" + "="*80) + print("Testing GLM with LLMClient (Fixed Version)") + print("="*80) + + # Load config + config_path = Path("mini_agent/config/config.yaml") + with open(config_path, encoding="utf-8") as f: + config = yaml.safe_load(f) + + # Create client with OpenAI provider (GLM) + client = LLMClient( + api_key=config["api_key"], + provider=LLMProvider.OPENAI, + api_base=config["api_base"], + model=config["model"], + ) + + print(f"Provider: {client.provider}") + print(f"Model: {client.model}") + print(f"API Base: {client.api_base}") + + # Simple test + messages = [ + Message(role="system", content="You are a helpful assistant."), + Message(role="user", content="Say 'Hello, GLM!' and nothing else."), + ] + + try: + print("\n📤 Sending request...") + response = await client.generate(messages=messages) + + print("\n✅ Request successful!") + print(f"\n📝 Content: {response.content}") + print(f"\n🤔 Thinking (first 200 chars): {response.thinking[:200] if response.thinking else 'None'}...") + print(f"\n🏁 Finish reason: {response.finish_reason}") + + # Verify response + if response.content and ("Hello" in response.content or "hello" in response.content): + print("\n✅ TEST PASSED: Response contains expected content") + return True + else: + print(f"\n❌ TEST FAILED: Response doesn't contain 'Hello': {response.content}") + return False + + except Exception as e: + print(f"\n❌ TEST FAILED: {e}") + import traceback + traceback.print_exc() + return False + + +async def main(): + """Run test.""" + success = await test_glm_with_llm_client() + + print("\n" + "="*80) + if success: + print("✅ All tests passed!") + else: + print("❌ Tests failed") + print("="*80) + + +if __name__ == "__main__": + asyncio.run(main()) From 3f68e18011c09e3f6c2c2e7253233d85f2acb499 Mon Sep 17 00:00:00 2001 From: "ronald84430@163.com" <> Date: Mon, 17 Nov 2025 14:41:05 +0800 Subject: [PATCH 05/29] Remove deprecated debug and test scripts for GLM API. Update LLMClient to handle OpenAI provider correctly for GLM models. Adjust tests to ensure proper configuration loading and provider handling. --- debug_api.py | 78 ----------------------------------- mini_agent/llm/llm_wrapper.py | 2 + test_glm_fix.py | 77 ---------------------------------- tests/test_llm.py | 15 ++++--- 4 files changed, 12 insertions(+), 160 deletions(-) delete mode 100644 debug_api.py delete mode 100644 test_glm_fix.py diff --git a/debug_api.py b/debug_api.py deleted file mode 100644 index 467206d..0000000 --- a/debug_api.py +++ /dev/null @@ -1,78 +0,0 @@ -"""Debug script to test GLM API response.""" - -import asyncio -from pathlib import Path -import yaml -from openai import AsyncOpenAI - -async def test_glm_api(): - """Test GLM API directly to see the actual response.""" - # Load config - config_path = Path("mini_agent/config/config.yaml") - with open(config_path, encoding="utf-8") as f: - config = yaml.safe_load(f) - - print(f"API Base: {config['api_base']}") - print(f"Model: {config['model']}") - - # Create client - client = AsyncOpenAI( - api_key=config["api_key"], - base_url=config["api_base"], - ) - - # Test 1: Simple request without extra_body - print("\n" + "="*80) - print("Test 1: Simple request WITHOUT reasoning_split") - print("="*80) - try: - response = await client.chat.completions.create( - model=config["model"], - messages=[ - {"role": "system", "content": "You are a helpful assistant."}, - {"role": "user", "content": "Say 'Hello' and nothing else."}, - ], - ) - print(f"Response type: {type(response)}") - print(f"Response: {response}") - print(f"Has choices: {hasattr(response, 'choices')}") - if hasattr(response, 'choices'): - print(f"Choices: {response.choices}") - if response.choices: - print(f"First choice: {response.choices[0]}") - print(f"Message: {response.choices[0].message}") - print(f"Content: {response.choices[0].message.content}") - except Exception as e: - print(f"Error: {e}") - import traceback - traceback.print_exc() - - # Test 2: Request with reasoning_split - print("\n" + "="*80) - print("Test 2: Request WITH reasoning_split") - print("="*80) - try: - response = await client.chat.completions.create( - model=config["model"], - messages=[ - {"role": "system", "content": "You are a helpful assistant."}, - {"role": "user", "content": "Say 'Hello' and nothing else."}, - ], - extra_body={"reasoning_split": True}, - ) - print(f"Response type: {type(response)}") - print(f"Response: {response}") - print(f"Has choices: {hasattr(response, 'choices')}") - if hasattr(response, 'choices'): - print(f"Choices: {response.choices}") - if response.choices: - print(f"First choice: {response.choices[0]}") - print(f"Message: {response.choices[0].message}") - print(f"Content: {response.choices[0].message.content}") - except Exception as e: - print(f"Error: {e}") - import traceback - traceback.print_exc() - -if __name__ == "__main__": - asyncio.run(test_glm_api()) diff --git a/mini_agent/llm/llm_wrapper.py b/mini_agent/llm/llm_wrapper.py index bde30c4..def94e2 100644 --- a/mini_agent/llm/llm_wrapper.py +++ b/mini_agent/llm/llm_wrapper.py @@ -56,6 +56,8 @@ def __init__( # Append provider-specific suffix to api_base if provider == LLMProvider.ANTHROPIC: full_api_base = f"{api_base.rstrip('/')}/anthropic" + elif provider == LLMProvider.OPENAI and 'glm' in self.model: + full_api_base = f"{api_base.rstrip('/')}" elif provider == LLMProvider.OPENAI: full_api_base = f"{api_base.rstrip('/')}/v1" else: diff --git a/test_glm_fix.py b/test_glm_fix.py deleted file mode 100644 index 87b0b07..0000000 --- a/test_glm_fix.py +++ /dev/null @@ -1,77 +0,0 @@ -"""Test GLM support after fixes.""" - -import asyncio -from pathlib import Path -import yaml - -from mini_agent.llm import LLMClient -from mini_agent.schema import LLMProvider, Message - - -async def test_glm_with_llm_client(): - """Test GLM using LLMClient wrapper.""" - print("\n" + "="*80) - print("Testing GLM with LLMClient (Fixed Version)") - print("="*80) - - # Load config - config_path = Path("mini_agent/config/config.yaml") - with open(config_path, encoding="utf-8") as f: - config = yaml.safe_load(f) - - # Create client with OpenAI provider (GLM) - client = LLMClient( - api_key=config["api_key"], - provider=LLMProvider.OPENAI, - api_base=config["api_base"], - model=config["model"], - ) - - print(f"Provider: {client.provider}") - print(f"Model: {client.model}") - print(f"API Base: {client.api_base}") - - # Simple test - messages = [ - Message(role="system", content="You are a helpful assistant."), - Message(role="user", content="Say 'Hello, GLM!' and nothing else."), - ] - - try: - print("\n📤 Sending request...") - response = await client.generate(messages=messages) - - print("\n✅ Request successful!") - print(f"\n📝 Content: {response.content}") - print(f"\n🤔 Thinking (first 200 chars): {response.thinking[:200] if response.thinking else 'None'}...") - print(f"\n🏁 Finish reason: {response.finish_reason}") - - # Verify response - if response.content and ("Hello" in response.content or "hello" in response.content): - print("\n✅ TEST PASSED: Response contains expected content") - return True - else: - print(f"\n❌ TEST FAILED: Response doesn't contain 'Hello': {response.content}") - return False - - except Exception as e: - print(f"\n❌ TEST FAILED: {e}") - import traceback - traceback.print_exc() - return False - - -async def main(): - """Run test.""" - success = await test_glm_with_llm_client() - - print("\n" + "="*80) - if success: - print("✅ All tests passed!") - else: - print("❌ Tests failed") - print("="*80) - - -if __name__ == "__main__": - asyncio.run(main()) diff --git a/tests/test_llm.py b/tests/test_llm.py index 16152a5..107eb18 100644 --- a/tests/test_llm.py +++ b/tests/test_llm.py @@ -71,9 +71,9 @@ async def test_wrapper_openai_provider(): client = LLMClient( api_key=config["api_key"], provider=LLMProvider.OPENAI, + api_base=config.get("api_base"), # 添加这一行 model=config.get("model"), ) - assert client.provider == LLMProvider.OPENAI # Simple messages @@ -137,8 +137,9 @@ async def test_wrapper_tool_calling(): # Create client with Anthropic provider client = LLMClient( api_key=config["api_key"], - provider=LLMProvider.ANTHROPIC, + provider=LLMProvider.OPENAI, model=config.get("model"), + api_base=config.get("api_base"), ) # Messages requesting tool use @@ -207,10 +208,14 @@ async def main(): results = [] # Test default provider - results.append(await test_wrapper_default_provider()) + # results.append(await test_wrapper_default_provider()) + + # # Test Anthropic provider + # results.append(await test_wrapper_anthropic_provider()) + # results.append(await test_wrapper_default_provider()) - # Test Anthropic provider - results.append(await test_wrapper_anthropic_provider()) + # # Test Anthropic provider + # results.append(await test_wrapper_anthropic_provider()) # Test OpenAI provider results.append(await test_wrapper_openai_provider()) From 6af4c3a424f942a45bd7260dec925bc3fa81a186 Mon Sep 17 00:00:00 2001 From: Claude Date: Mon, 17 Nov 2025 07:23:03 +0000 Subject: [PATCH 06/29] =?UTF-8?q?feat(tools):=20=E6=B7=BB=E5=8A=A0=20BashT?= =?UTF-8?q?ool=20workspace=20=E7=9B=AE=E5=BD=95=E6=94=AF=E6=8C=81?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit 修改内容： - BashTool.__init__ 添加 workspace_dir 参数 - 在所有子进程创建时添加 cwd=workspace_dir 参数 - 将 BashTool 初始化从 initialize_base_tools 移至 add_workspace_tools - 确保 bash 命令在 workspace 目录执行，与文件工具保持一致 修复问题： - 修复 BashTool 执行目录与 workspace 不一致的问题 - 修复 bash 命令在项目根目录执行而文件工具在 workspace 的不一致性 影响范围： - mini_agent/tools/bash_tool.py: 添加 workspace_dir 参数和 cwd 支持 - mini_agent/cli.py: 调整工具初始化顺序 --- mini_agent/cli.py | 32 ++++++++++++++++---------------- mini_agent/tools/bash_tool.py | 13 +++++++++++-- 2 files changed, 27 insertions(+), 18 deletions(-) diff --git a/mini_agent/cli.py b/mini_agent/cli.py index 096be5e..29dd925 100644 --- a/mini_agent/cli.py +++ b/mini_agent/cli.py @@ -224,21 +224,7 @@ async def initialize_base_tools(config: Config): tools = [] skill_loader = None - # 1. Bash tool and Bash Output tool - if config.tools.enable_bash: - bash_tool = BashTool() - tools.append(bash_tool) - print(f"{Colors.GREEN}✅ Loaded Bash tool{Colors.RESET}") - - bash_output_tool = BashOutputTool() - tools.append(bash_output_tool) - print(f"{Colors.GREEN}✅ Loaded Bash Output tool{Colors.RESET}") - - bash_kill_tool = BashKillTool() - tools.append(bash_kill_tool) - print(f"{Colors.GREEN}✅ Loaded Bash Kill tool{Colors.RESET}") - - # 3. Claude Skills (loaded from package directory) + # 1. Claude Skills (loaded from package directory) if config.tools.enable_skills: print(f"{Colors.BRIGHT_CYAN}Loading Claude Skills...{Colors.RESET}") try: @@ -269,7 +255,7 @@ async def initialize_base_tools(config: Config): except Exception as e: print(f"{Colors.YELLOW}⚠️ Failed to load Skills: {e}{Colors.RESET}") - # 4. MCP tools (loaded with priority search) + # 2. MCP tools (loaded with priority search) if config.tools.enable_mcp: print(f"{Colors.BRIGHT_CYAN}Loading MCP tools...{Colors.RESET}") try: @@ -304,6 +290,20 @@ def add_workspace_tools(tools: List[Tool], config: Config, workspace_dir: Path): # Ensure workspace directory exists workspace_dir.mkdir(parents=True, exist_ok=True) + # Bash tools - need workspace to set working directory + if config.tools.enable_bash: + bash_tool = BashTool(workspace_dir=str(workspace_dir)) + tools.append(bash_tool) + print(f"{Colors.GREEN}✅ Loaded Bash tool{Colors.RESET}") + + bash_output_tool = BashOutputTool() + tools.append(bash_output_tool) + print(f"{Colors.GREEN}✅ Loaded Bash Output tool{Colors.RESET}") + + bash_kill_tool = BashKillTool() + tools.append(bash_kill_tool) + print(f"{Colors.GREEN}✅ Loaded Bash Kill tool{Colors.RESET}") + # File tools - need workspace to resolve relative paths if config.tools.enable_file_tools: tools.extend( diff --git a/mini_agent/tools/bash_tool.py b/mini_agent/tools/bash_tool.py index 49c4318..4dea35c 100644 --- a/mini_agent/tools/bash_tool.py +++ b/mini_agent/tools/bash_tool.py @@ -222,10 +222,15 @@ class BashTool(Tool): - Unix/Linux/macOS: bash """ - def __init__(self): - """Initialize BashTool with OS-specific shell detection.""" + def __init__(self, workspace_dir: str | None = None): + """Initialize BashTool with OS-specific shell detection. + + Args: + workspace_dir: Optional workspace directory path. If provided, commands will execute in this directory by default. + """ self.is_windows = platform.system() == "Windows" self.shell_name = "PowerShell" if self.is_windows else "bash" + self.workspace_dir = workspace_dir @property def name(self) -> str: @@ -341,12 +346,14 @@ async def execute( *shell_cmd, stdout=asyncio.subprocess.PIPE, stderr=asyncio.subprocess.STDOUT, + cwd=self.workspace_dir, ) else: process = await asyncio.create_subprocess_shell( shell_cmd, stdout=asyncio.subprocess.PIPE, stderr=asyncio.subprocess.STDOUT, + cwd=self.workspace_dir, ) # Create background shell and add to manager @@ -376,12 +383,14 @@ async def execute( *shell_cmd, stdout=asyncio.subprocess.PIPE, stderr=asyncio.subprocess.PIPE, + cwd=self.workspace_dir, ) else: process = await asyncio.create_subprocess_shell( shell_cmd, stdout=asyncio.subprocess.PIPE, stderr=asyncio.subprocess.PIPE, + cwd=self.workspace_dir, ) try: From 14cecd9f28957fe3032afe2d9b9bf353e834a43a Mon Sep 17 00:00:00 2001 From: Claude Date: Mon, 17 Nov 2025 07:34:58 +0000 Subject: [PATCH 07/29] =?UTF-8?q?feat(tools):=20=E6=B7=BB=E5=8A=A0=20GLM?= =?UTF-8?q?=20Search=20=E7=BD=91=E9=A1=B5=E6=90=9C=E7=B4=A2=E5=B7=A5?= =?UTF-8?q?=E5=85=B7?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit 新增功能： - 添加 GLMSearchTool 单查询搜索工具 - 添加 GLMBatchSearchTool 批量并行搜索工具 - 支持配置文件和环境变量配置 API Key - 集成到工具加载系统 实现特性： - 异步执行支持 - 线程池并发搜索 - 可配置搜索参数（引擎、数量、时间过滤、内容大小） - 优雅的错误处理和格式化输出 - 完整的类型提示和文档字符串 修改文件： - mini_agent/tools/glm_search_tool.py: 新增搜索工具实现（585行） - mini_agent/config.py: 添加 GLM Search 配置字段 - mini_agent/config/config-example.yaml: 添加配置模板 - mini_agent/cli.py: 集成工具加载逻辑 使用方法： 1. 设置 ZHIPU_API_KEY 环境变量或在 config.yaml 中配置 2. 在 config.yaml 中设置 enable_glm_search: true 3. 安装依赖: pip install zhipuai 4. Agent 可使用 glm_search() 或 glm_batch_search() 进行网页搜索 --- mini_agent/cli.py | 22 ++ mini_agent/config.py | 6 + mini_agent/config/config-example.yaml | 4 + mini_agent/tools/glm_search_tool.py | 495 ++++++++++++++++++++++++++ 4 files changed, 527 insertions(+) create mode 100644 mini_agent/tools/glm_search_tool.py diff --git a/mini_agent/cli.py b/mini_agent/cli.py index 29dd925..b9c8a89 100644 --- a/mini_agent/cli.py +++ b/mini_agent/cli.py @@ -320,6 +320,28 @@ def add_workspace_tools(tools: List[Tool], config: Config, workspace_dir: Path): tools.append(SessionNoteTool(memory_file=str(workspace_dir / ".agent_memory.json"))) print(f"{Colors.GREEN}✅ Loaded session note tool{Colors.RESET}") + # GLM Search tool - web search powered by ZhipuAI + if config.tools.enable_glm_search: + try: + from mini_agent.tools.glm_search_tool import GLMSearchTool, GLMBatchSearchTool + + # Use API key from config or environment variable + api_key = config.tools.glm_api_key or None + + glm_search = GLMSearchTool(api_key=api_key) + tools.append(glm_search) + print(f"{Colors.GREEN}✅ Loaded GLM search tool{Colors.RESET}") + + glm_batch_search = GLMBatchSearchTool(api_key=api_key) + tools.append(glm_batch_search) + print(f"{Colors.GREEN}✅ Loaded GLM batch search tool{Colors.RESET}") + + except ValueError as e: + print(f"{Colors.YELLOW}⚠️ Failed to load GLM search: {e}{Colors.RESET}") + print(f"{Colors.YELLOW} Please set ZHIPU_API_KEY environment variable or configure glm_api_key in config.yaml{Colors.RESET}") + except Exception as e: + print(f"{Colors.YELLOW}⚠️ Failed to load GLM search: {e}{Colors.RESET}") + async def run_agent(workspace_dir: Path): """Run interactive Agent diff --git a/mini_agent/config.py b/mini_agent/config.py index 06ca243..9ed3c04 100644 --- a/mini_agent/config.py +++ b/mini_agent/config.py @@ -53,6 +53,10 @@ class ToolsConfig(BaseModel): enable_mcp: bool = True mcp_config_path: str = "mcp.json" + # GLM Search tool + enable_glm_search: bool = False + glm_api_key: str = "" + class Config(BaseModel): """Main configuration class""" @@ -128,6 +132,8 @@ def from_yaml(cls, config_path: str | Path) -> "Config": skills_dir=tools_data.get("skills_dir", "./skills"), enable_mcp=tools_data.get("enable_mcp", True), mcp_config_path=tools_data.get("mcp_config_path", "mcp.json"), + enable_glm_search=tools_data.get("enable_glm_search", False), + glm_api_key=tools_data.get("glm_api_key", ""), ) return cls( diff --git a/mini_agent/config/config-example.yaml b/mini_agent/config/config-example.yaml index 9d259ce..ba4a82c 100644 --- a/mini_agent/config/config-example.yaml +++ b/mini_agent/config/config-example.yaml @@ -52,3 +52,7 @@ tools: enable_mcp: true # Enable MCP tools mcp_config_path: "mcp.json" # MCP configuration file (same config directory) # Note: API Keys for MCP tools are configured in mcp.json + + # GLM Search Tool + enable_glm_search: false # Enable GLM (ZhipuAI) web search tool + glm_api_key: "" # ZhipuAI API Key (or set ZHIPU_API_KEY env var) diff --git a/mini_agent/tools/glm_search_tool.py b/mini_agent/tools/glm_search_tool.py new file mode 100644 index 0000000..52cc94a --- /dev/null +++ b/mini_agent/tools/glm_search_tool.py @@ -0,0 +1,495 @@ +"""GLM Search Tool - Web search powered by ZhipuAI (GLM). + +This tool provides web search capabilities using ZhipuAI's search API. +It supports parallel multi-query searches with configurable parameters. +""" + +import asyncio +import os +from concurrent.futures import ThreadPoolExecutor +from dataclasses import dataclass +from typing import Any + +from .base import Tool, ToolResult + + +@dataclass +class SearchResult: + """Single search result item.""" + + title: str + snippet: str + link: str + source: str + + +@dataclass +class QuerySearchResult: + """Search results for a single query.""" + + query: str + results: list[dict[str, str]] + success: bool + error_message: str | None = None + + +class GLMSearchTool(Tool): + """Web search tool powered by ZhipuAI (GLM). + + This tool enables the agent to search the web using ZhipuAI's search API. + It supports multiple queries in parallel and returns structured results. + + Features: + - Multi-query parallel search + - Configurable search parameters (engine, count, recency, content size) + - Automatic result formatting + - Graceful error handling + + Example usage by agent: + - glm_search(query="Python async programming", count=5) + - glm_search(query="MiniMax AI latest news", search_recency_filter="pastWeek") + """ + + def __init__(self, api_key: str | None = None): + """Initialize GLM search tool. + + Args: + api_key: ZhipuAI API key. If not provided, will use ZHIPU_API_KEY env var. + """ + self.api_key = api_key or os.getenv("ZHIPU_API_KEY") + if not self.api_key: + raise ValueError("ZHIPU_API_KEY not provided and not found in environment variables") + + @property + def name(self) -> str: + return "glm_search" + + @property + def description(self) -> str: + return """Search the web using ZhipuAI (GLM) search API. + +Performs intelligent web search and returns relevant results with titles, snippets, and links. +Supports multiple search queries and various configuration options. + +Parameters: + - query (required): Search query string + - search_engine: Search engine type (default: "search_pro") + - count: Number of results to return (default: 5, max: 15) + - search_recency_filter: Time filter - "pastMonth", "pastWeek", "pastDay" (default: "pastMonth") + - content_size: Summary detail level - "low", "medium", "high" (default: "high") + +Returns structured search results with title, snippet, link, and source for each result. + +Examples: + - glm_search(query="Python async programming") + - glm_search(query="AI news", count=10, search_recency_filter="pastWeek") + - glm_search(query="machine learning tutorial", content_size="high")""" + + @property + def parameters(self) -> dict[str, Any]: + return { + "type": "object", + "properties": { + "query": { + "type": "string", + "description": "The search query string", + }, + "search_engine": { + "type": "string", + "description": "Search engine type (default: 'search_pro')", + "enum": ["search_pro", "search_basic"], + "default": "search_pro", + }, + "count": { + "type": "integer", + "description": "Number of results to return (default: 5, max: 15)", + "minimum": 1, + "maximum": 15, + "default": 5, + }, + "search_recency_filter": { + "type": "string", + "description": "Time filter for search results", + "enum": ["pastMonth", "pastWeek", "pastDay"], + "default": "pastMonth", + }, + "content_size": { + "type": "string", + "description": "Summary detail level", + "enum": ["low", "medium", "high"], + "default": "high", + }, + }, + "required": ["query"], + } + + def _search_single_query( + self, query: str, search_params: dict[str, Any] + ) -> QuerySearchResult: + """Search a single query (synchronous, used in thread pool). + + Args: + query: Search query string + search_params: Search parameters dict + + Returns: + QuerySearchResult with results or error + """ + try: + # Import here to avoid import errors if zhipuai not installed + from zhipuai import ZhipuAI + + # Create client + client = ZhipuAI(api_key=self.api_key) + + # Perform search + response = client.web_search.web_search( + search_query=query, **search_params + ) + + # Process results + results = [] + for item in response.search_result: + results.append( + { + "title": item.title, + "snippet": item.content, + "link": item.link, + "source": item.media, + } + ) + + return QuerySearchResult( + query=query, results=results, success=True, error_message=None + ) + + except Exception as e: + return QuerySearchResult( + query=query, results=[], success=False, error_message=str(e) + ) + + def _format_search_results(self, results: list[QuerySearchResult]) -> str: + """Format search results for display. + + Args: + results: List of QuerySearchResult objects + + Returns: + Formatted string representation + """ + if not results: + return "No search results found." + + output_parts = [] + + for query_result in results: + output_parts.append(f"Query: {query_result.query}") + output_parts.append("=" * 60) + + if not query_result.success: + output_parts.append( + f"❌ Search failed: {query_result.error_message}\n" + ) + continue + + if not query_result.results: + output_parts.append("No results found.\n") + continue + + for idx, result in enumerate(query_result.results, 1): + output_parts.append(f"\n{idx}. {result['title']}") + output_parts.append(f" Source: {result['source']}") + output_parts.append(f" Link: {result['link']}") + output_parts.append(f" Snippet: {result['snippet'][:200]}...") + output_parts.append("") + + output_parts.append("") + + return "\n".join(output_parts) + + async def execute( + self, + query: str, + search_engine: str = "search_pro", + count: int = 5, + search_recency_filter: str = "pastMonth", + content_size: str = "high", + ) -> ToolResult: + """Execute web search. + + Args: + query: Search query string + search_engine: Search engine type + count: Number of results + search_recency_filter: Time filter + content_size: Summary detail level + + Returns: + ToolResult with formatted search results + """ + try: + # Validate and prepare parameters + count = min(max(1, count), 15) # Clamp to 1-15 + + search_params = { + "search_engine": search_engine, + "count": count, + "search_recency_filter": search_recency_filter, + "content_size": content_size, + } + + # Execute search in thread pool (since zhipuai client is sync) + loop = asyncio.get_event_loop() + result = await loop.run_in_executor( + None, self._search_single_query, query, search_params + ) + + # Format results + formatted_output = self._format_search_results([result]) + + if not result.success: + return ToolResult( + success=False, + content="", + error=f"Search failed: {result.error_message}", + ) + + return ToolResult( + success=True, + content=formatted_output, + ) + + except Exception as e: + return ToolResult( + success=False, + content="", + error=f"GLM search execution failed: {str(e)}", + ) + + +class GLMBatchSearchTool(Tool): + """Batch web search tool for multiple queries in parallel. + + This tool enables searching multiple queries simultaneously, + which is more efficient than sequential searches. + """ + + def __init__(self, api_key: str | None = None): + """Initialize GLM batch search tool. + + Args: + api_key: ZhipuAI API key. If not provided, will use ZHIPU_API_KEY env var. + """ + self.api_key = api_key or os.getenv("ZHIPU_API_KEY") + if not self.api_key: + raise ValueError("ZHIPU_API_KEY not provided and not found in environment variables") + + @property + def name(self) -> str: + return "glm_batch_search" + + @property + def description(self) -> str: + return """Search the web for multiple queries in parallel using ZhipuAI (GLM). + +This tool performs multiple web searches simultaneously, which is more efficient +than running multiple single searches sequentially. + +Parameters: + - queries (required): List of search query strings + - search_engine: Search engine type (default: "search_pro") + - count: Number of results per query (default: 5, max: 15) + - search_recency_filter: Time filter (default: "pastMonth") + - content_size: Summary detail level (default: "high") + +Example: + glm_batch_search(queries=["Python async", "FastAPI tutorial", "Docker guide"])""" + + @property + def parameters(self) -> dict[str, Any]: + return { + "type": "object", + "properties": { + "queries": { + "type": "array", + "items": {"type": "string"}, + "description": "List of search query strings", + }, + "search_engine": { + "type": "string", + "description": "Search engine type (default: 'search_pro')", + "default": "search_pro", + }, + "count": { + "type": "integer", + "description": "Number of results per query (default: 5, max: 15)", + "default": 5, + }, + "search_recency_filter": { + "type": "string", + "description": "Time filter", + "default": "pastMonth", + }, + "content_size": { + "type": "string", + "description": "Summary detail level", + "default": "high", + }, + }, + "required": ["queries"], + } + + def _search_single_query( + self, query: str, search_params: dict[str, Any] + ) -> QuerySearchResult: + """Search a single query (synchronous, used in thread pool). + + Args: + query: Search query string + search_params: Search parameters dict + + Returns: + QuerySearchResult with results or error + """ + try: + from zhipuai import ZhipuAI + + client = ZhipuAI(api_key=self.api_key) + response = client.web_search.web_search( + search_query=query, **search_params + ) + + results = [] + for item in response.search_result: + results.append( + { + "title": item.title, + "snippet": item.content, + "link": item.link, + "source": item.media, + } + ) + + return QuerySearchResult( + query=query, results=results, success=True, error_message=None + ) + + except Exception as e: + return QuerySearchResult( + query=query, results=[], success=False, error_message=str(e) + ) + + def _format_search_results(self, results: list[QuerySearchResult]) -> str: + """Format search results for display.""" + if not results: + return "No search results found." + + output_parts = [] + + for query_result in results: + output_parts.append(f"Query: {query_result.query}") + output_parts.append("=" * 60) + + if not query_result.success: + output_parts.append( + f"❌ Search failed: {query_result.error_message}\n" + ) + continue + + if not query_result.results: + output_parts.append("No results found.\n") + continue + + for idx, result in enumerate(query_result.results, 1): + output_parts.append(f"\n{idx}. {result['title']}") + output_parts.append(f" Source: {result['source']}") + output_parts.append(f" Link: {result['link']}") + output_parts.append(f" Snippet: {result['snippet'][:200]}...") + output_parts.append("") + + output_parts.append("") + + return "\n".join(output_parts) + + async def execute( + self, + queries: list[str], + search_engine: str = "search_pro", + count: int = 5, + search_recency_filter: str = "pastMonth", + content_size: str = "high", + ) -> ToolResult: + """Execute batch web search. + + Args: + queries: List of search query strings + search_engine: Search engine type + count: Number of results per query + search_recency_filter: Time filter + content_size: Summary detail level + + Returns: + ToolResult with formatted search results for all queries + """ + try: + if not queries: + return ToolResult( + success=False, content="", error="No queries provided" + ) + + # Validate and prepare parameters + count = min(max(1, count), 15) + + search_params = { + "search_engine": search_engine, + "count": count, + "search_recency_filter": search_recency_filter, + "content_size": content_size, + } + + # Execute searches in parallel using thread pool + loop = asyncio.get_event_loop() + max_workers = min(5, len(queries)) # Max 5 concurrent searches + + with ThreadPoolExecutor(max_workers=max_workers) as executor: + # Submit all queries + futures = [ + loop.run_in_executor( + executor, self._search_single_query, query, search_params + ) + for query in queries + ] + + # Wait for all to complete + search_results = await asyncio.gather(*futures) + + # Sort results by original query order + query_order = {query: i for i, query in enumerate(queries)} + search_results_sorted = sorted( + search_results, key=lambda x: query_order.get(x.query, len(queries)) + ) + + # Format results + formatted_output = self._format_search_results(search_results_sorted) + + # Check if any search failed + all_success = all(r.success for r in search_results_sorted) + if not all_success: + failed_queries = [r.query for r in search_results_sorted if not r.success] + return ToolResult( + success=False, + content=formatted_output, + error=f"Some searches failed: {', '.join(failed_queries)}", + ) + + return ToolResult( + success=True, + content=formatted_output, + ) + + except Exception as e: + return ToolResult( + success=False, + content="", + error=f"GLM batch search execution failed: {str(e)}", + ) From ebda88af74c589d83fbcc5e448858a43c50a45ca Mon Sep 17 00:00:00 2001 From: Claude Date: Mon, 17 Nov 2025 07:51:27 +0000 Subject: [PATCH 08/29] =?UTF-8?q?fix(tools):=20=E6=B7=BB=E5=8A=A0=20zhipua?= =?UTF-8?q?i=20=E4=BE=9D=E8=B5=96=E5=B9=B6=E4=BC=98=E5=8C=96=E6=90=9C?= =?UTF-8?q?=E7=B4=A2=E7=BB=93=E6=9E=9C=E6=A0=BC=E5=BC=8F?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - 添加缺失的 zhipuai>=2.0.0 依赖到 pyproject.toml - 优化 GLMSearchTool 和 GLMBatchSearchTool 返回格式： - 移除装饰性字符（===）和 emoji（❌） - 使用简洁的结构化格式 [1] Title - 保留完整搜索结果内容，不截断 - 更面向模型理解的输出格式 --- mini_agent/tools/glm_search_tool.py | 36 +- pyproject.toml | 1 + uv.lock | 1852 ++++++++++++++------------- 3 files changed, 963 insertions(+), 926 deletions(-) diff --git a/mini_agent/tools/glm_search_tool.py b/mini_agent/tools/glm_search_tool.py index 52cc94a..e085ee9 100644 --- a/mini_agent/tools/glm_search_tool.py +++ b/mini_agent/tools/glm_search_tool.py @@ -175,7 +175,7 @@ def _format_search_results(self, results: list[QuerySearchResult]) -> str: results: List of QuerySearchResult objects Returns: - Formatted string representation + Formatted string representation (model-friendly, concise format) """ if not results: return "No search results found." @@ -184,24 +184,24 @@ def _format_search_results(self, results: list[QuerySearchResult]) -> str: for query_result in results: output_parts.append(f"Query: {query_result.query}") - output_parts.append("=" * 60) if not query_result.success: output_parts.append( - f"❌ Search failed: {query_result.error_message}\n" + f"Error: {query_result.error_message}" ) + output_parts.append("") continue if not query_result.results: - output_parts.append("No results found.\n") + output_parts.append("No results found.") + output_parts.append("") continue for idx, result in enumerate(query_result.results, 1): - output_parts.append(f"\n{idx}. {result['title']}") - output_parts.append(f" Source: {result['source']}") - output_parts.append(f" Link: {result['link']}") - output_parts.append(f" Snippet: {result['snippet'][:200]}...") - output_parts.append("") + output_parts.append(f"\n[{idx}] {result['title']}") + output_parts.append(f"URL: {result['link']}") + output_parts.append(f"Source: {result['source']}") + output_parts.append(f"Content: {result['snippet']}") output_parts.append("") @@ -380,7 +380,7 @@ def _search_single_query( ) def _format_search_results(self, results: list[QuerySearchResult]) -> str: - """Format search results for display.""" + """Format search results for display (model-friendly, concise format).""" if not results: return "No search results found." @@ -388,24 +388,24 @@ def _format_search_results(self, results: list[QuerySearchResult]) -> str: for query_result in results: output_parts.append(f"Query: {query_result.query}") - output_parts.append("=" * 60) if not query_result.success: output_parts.append( - f"❌ Search failed: {query_result.error_message}\n" + f"Error: {query_result.error_message}" ) + output_parts.append("") continue if not query_result.results: - output_parts.append("No results found.\n") + output_parts.append("No results found.") + output_parts.append("") continue for idx, result in enumerate(query_result.results, 1): - output_parts.append(f"\n{idx}. {result['title']}") - output_parts.append(f" Source: {result['source']}") - output_parts.append(f" Link: {result['link']}") - output_parts.append(f" Snippet: {result['snippet'][:200]}...") - output_parts.append("") + output_parts.append(f"\n[{idx}] {result['title']}") + output_parts.append(f"URL: {result['link']}") + output_parts.append(f"Source: {result['source']}") + output_parts.append(f"Content: {result['snippet']}") output_parts.append("") diff --git a/pyproject.toml b/pyproject.toml index 76a3581..ca33c79 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -21,6 +21,7 @@ dependencies = [ "pipx>=1.8.0", "anthropic>=0.39.0", "openai>=1.57.4", + "zhipuai>=2.0.0", ] [project.scripts] diff --git a/uv.lock b/uv.lock index d5d4c85..75c92bb 100644 --- a/uv.lock +++ b/uv.lock @@ -1,20 +1,20 @@ version = 1 -revision = 1 +revision = 3 requires-python = ">=3.10" [[package]] name = "annotated-types" version = "0.7.0" -source = { registry = "https://pypi.tuna.tsinghua.edu.cn/simple" } -sdist = { url = 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[PATCH 09/29] =?UTF-8?q?feat(mcp):=20=E6=B7=BB=E5=8A=A0=20streama?= =?UTF-8?q?ble-http=20=E6=A8=A1=E5=BC=8F=E6=94=AF=E6=8C=81?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - 新增 HTTPMCPServerConnection 类支持 HTTP/SSE 协议的 MCP 服务器 - 使用 mcp.client.streamable_http 模块进行 HTTP 连接 - load_mcp_tools_async 现在支持自动检测连接模式： - 检测 mode="streamable-http" 或存在 url 字段时使用 HTTP 模式 - 默认使用 stdio 模式 - 保持与现有 stdio 模式相同的代码风格和错误处理 - 更新类型注解支持两种连接类型 现在可以在 mcp.json 中配置 HTTP MCP 服务器： { "mcpServers": { "server-name": { "mode": "streamable-http", "url": "http://example.com/mcp", "headers": { "Authorization": "Bearer token", "Content-Type": "application/json" } } } } --- mini_agent/tools/mcp_loader.py | 117 +++++++++++++++++++++++++++++---- 1 file changed, 105 insertions(+), 12 deletions(-) diff --git a/mini_agent/tools/mcp_loader.py b/mini_agent/tools/mcp_loader.py index 114cc50..ec13391 100644 --- a/mini_agent/tools/mcp_loader.py +++ b/mini_agent/tools/mcp_loader.py @@ -7,6 +7,7 @@ from mcp import ClientSession, StdioServerParameters from mcp.client.stdio import stdio_client +from mcp.client.streamable_http import streamablehttp_client from .base import Tool, ToolResult @@ -147,8 +148,80 @@ async def disconnect(self): self.session = None +class HTTPMCPServerConnection: + """Manages connection to a single HTTP MCP server.""" + + def __init__(self, name: str, url: str, headers: dict[str, str] | None = None): + self.name = name + self.url = url + self.headers = headers or {} + self.session: ClientSession | None = None + self.exit_stack: AsyncExitStack | None = None + self.tools: list[MCPTool] = [] + + async def connect(self) -> bool: + """Connect to the MCP server using proper async context management.""" + try: + # Use AsyncExitStack to properly manage multiple async context managers + self.exit_stack = AsyncExitStack() + + # Enter streamable HTTP client context + read_stream, write_stream, get_session_id = await self.exit_stack.enter_async_context( + streamablehttp_client(url=self.url, headers=self.headers) + ) + + # Enter client session context + session = await self.exit_stack.enter_async_context( + ClientSession(read_stream, write_stream) + ) + self.session = session + + # Initialize the session + await session.initialize() + + # List available tools + tools_list = await session.list_tools() + + # Wrap each tool + for tool in tools_list.tools: + # Convert MCP tool schema to our format + parameters = tool.inputSchema if hasattr(tool, 'inputSchema') else {} + + mcp_tool = MCPTool( + name=tool.name, + description=tool.description or "", + parameters=parameters, + session=session + ) + self.tools.append(mcp_tool) + + print(f"✓ Connected to MCP server '{self.name}' - loaded {len(self.tools)} tools") + for tool in self.tools: + desc = tool.description[:60] if len(tool.description) > 60 else tool.description + print(f" - {tool.name}: {desc}...") + return True + + except Exception as e: + print(f"✗ Failed to connect to MCP server '{self.name}': {e}") + # Clean up exit stack if connection failed + if self.exit_stack: + await self.exit_stack.aclose() + self.exit_stack = None + import traceback + traceback.print_exc() + return False + + async def disconnect(self): + """Properly disconnect from the MCP server.""" + if self.exit_stack: + # AsyncExitStack handles all cleanup properly + await self.exit_stack.aclose() + self.exit_stack = None + self.session = None + + # Global connections registry -_mcp_connections: list[MCPServerConnection] = [] +_mcp_connections: list[MCPServerConnection | HTTPMCPServerConnection] = [] async def load_mcp_tools_async(config_path: str = "mcp.json") -> list[Tool]: @@ -194,20 +267,40 @@ async def load_mcp_tools_async(config_path: str = "mcp.json") -> list[Tool]: print(f"Skipping disabled server: {server_name}") continue - command = server_config.get("command") - args = server_config.get("args", []) - env = server_config.get("env", {}) + # Detect connection mode (stdio or streamable-http) + mode = server_config.get("mode", "stdio") + url = server_config.get("url") - if not command: - print(f"No command specified for server: {server_name}") - continue + # HTTP/streamable-http mode + if mode == "streamable-http" or url: + if not url: + print(f"No URL specified for HTTP server: {server_name}") + continue + + headers = server_config.get("headers", {}) + connection = HTTPMCPServerConnection(server_name, url, headers) + success = await connection.connect() + + if success: + _mcp_connections.append(connection) + all_tools.extend(connection.tools) + + # Default stdio mode + else: + command = server_config.get("command") + args = server_config.get("args", []) + env = server_config.get("env", {}) + + if not command: + print(f"No command specified for stdio server: {server_name}") + continue - connection = MCPServerConnection(server_name, command, args, env) - success = await connection.connect() + connection = MCPServerConnection(server_name, command, args, env) + success = await connection.connect() - if success: - _mcp_connections.append(connection) - all_tools.extend(connection.tools) + if success: + _mcp_connections.append(connection) + all_tools.extend(connection.tools) print(f"\nTotal MCP tools loaded: {len(all_tools)}") From de8465f55f759f0b22a2c4bfd2a19d525ec250cd Mon Sep 17 00:00:00 2001 From: Claude Date: Mon, 17 Nov 2025 09:06:14 +0000 Subject: [PATCH 10/29] =?UTF-8?q?feat(agent):=20=E5=9C=A8=20system=20promp?= =?UTF-8?q?t=20=E4=B8=AD=E6=B3=A8=E5=85=A5=E5=BD=93=E5=89=8D=E6=97=A5?= =?UTF-8?q?=E6=9C=9F=E5=92=8C=E6=97=B6=E9=97=B4?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - 添加 datetime 导入 - 在 Agent.__init__ 中自动注入当前日期时间到 system prompt - 格式：YYYY-MM-DD HH:MM:SS (星期几) - 使模型能够处理与时间相关的任务 --- mini_agent/agent.py | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/mini_agent/agent.py b/mini_agent/agent.py index 9539bc4..7fdfeba 100644 --- a/mini_agent/agent.py +++ b/mini_agent/agent.py @@ -1,6 +1,7 @@ """Core Agent implementation.""" import json +from datetime import datetime from pathlib import Path import tiktoken @@ -65,6 +66,11 @@ def __init__( workspace_info = f"\n\n## Current Workspace\nYou are currently working in: `{self.workspace_dir.absolute()}`\nAll relative paths will be resolved relative to this directory." system_prompt = system_prompt + workspace_info + # Inject current date and time into system prompt + current_time = datetime.now() + time_info = f"\n\n## Current Date and Time\nCurrent date and time: {current_time.strftime('%Y-%m-%d %H:%M:%S')} ({current_time.strftime('%A')})" + system_prompt = system_prompt + time_info + self.system_prompt = system_prompt # Initialize message history From 3cc9c0af521b1dd25b3ddcbb7ffbd0c7c9ec7384 Mon Sep 17 00:00:00 2001 From: Claude Date: Mon, 17 Nov 2025 09:12:58 +0000 Subject: [PATCH 11/29] =?UTF-8?q?docs:=20=E6=B7=BB=E5=8A=A0=20Mini-Agent?= =?UTF-8?q?=20=E5=B7=A5=E4=BD=9C=E6=B5=81=E7=A8=8B=E5=9B=BE=E6=96=87?= =?UTF-8?q?=E6=A1=A3?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - 添加完整的系统架构和执行流程说明 - 包含 7 个核心部分的详细流程图 - 使用 ASCII 图表展示各个组件的交互 - 帮助开发者理解整体工作机制 --- WORKFLOW_DIAGRAM.md | 601 ++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 601 insertions(+) create mode 100644 WORKFLOW_DIAGRAM.md diff --git a/WORKFLOW_DIAGRAM.md b/WORKFLOW_DIAGRAM.md new file mode 100644 index 0000000..49e79b6 --- /dev/null +++ b/WORKFLOW_DIAGRAM.md @@ -0,0 +1,601 @@ +# Mini-Agent 工作流程图 + +## 1. 整体架构流程 + +``` +┌─────────────────────────────────────────────────────────────────────────┐ +│ Mini-Agent 启动流程 │ +└─────────────────────────────────────────────────────────────────────────┘ + + 用户命令行启动 + │ + ├─→ mini-agent --workspace /path/to/dir + │ + ▼ +┌──────────────────┐ +│ cli.py:main() │ 解析命令行参数 +└────────┬─────────┘ + │ + ▼ +┌─────────────────────────────────────────────────────────────────────────┐ +│ 1. 加载配置 (config.py) │ +├─────────────────────────────────────────────────────────────────────────┤ +│ 优先级搜索: │ +│ ① ./mini_agent/config/config.yaml (开发模式) │ +│ ② ~/.mini-agent/config/config.yaml (用户配置) │ +│ ③ /config/config.yaml (已安装包) │ +│ │ +│ 配置内容: │ +│ • api_key, api_base, model │ +│ • provider (anthropic/openai) │ +│ • max_steps, token_limit │ +│ • tools 启用/禁用开关 │ +│ • retry 配置 │ +└────────┬─────────────────────────────────────────────────────────────────┘ + │ + ▼ +┌─────────────────────────────────────────────────────────────────────────┐ +│ 2. 初始化 LLM 客户端 (llm_wrapper.py) │ +├─────────────────────────────────────────────────────────────────────────┤ +│ 根据 provider 创建客户端: │ +│ • AnthropicClient (Messages API) │ +│ • OpenAIClient (Chat Completions API) │ +│ │ +│ 配置重试机制: │ +│ • 指数退避 (exponential backoff) │ +│ • 最大重试次数 │ +│ • 重试回调 (终端显示) │ +└────────┬─────────────────────────────────────────────────────────────────┘ + │ + ▼ +┌─────────────────────────────────────────────────────────────────────────┐ +│ 3. 加载工具 (Tools) │ +├─────────────────────────────────────────────────────────────────────────┤ +│ │ +│ 3.1 基础工具 (与工作空间无关) │ +│ ┌──────────────────────────────────────┐ │ +│ │ Claude Skills (skills/) │ │ +│ │ • Progressive Disclosure Level 1 │ │ +│ │ • 元数据加载 (名称、描述) │ │ +│ │ • get_skill 工具注册 │ │ +│ └──────────────────────────────────────┘ │ +│ ┌──────────────────────────────────────┐ │ +│ │ MCP 工具 (mcp.json) │ │ +│ │ • memory (知识图谱) │ │ +│ │ • minimax_search (网页搜索) │ │ +│ └──────────────────────────────────────┘ │ +│ │ +│ 3.2 工作空间工具 (与工作空间相关) │ +│ ┌──────────────────────────────────────┐ │ +│ │ 文件工具 (file_tools.py) │ │ +│ │ • ReadTool - 读取文件 │ │ +│ │ • WriteTool - 写入文件 │ │ +│ │ • EditTool - 编辑文件 │ │ +│ └──────────────────────────────────────┘ │ +│ ┌──────────────────────────────────────┐ │ +│ │ Bash 工具 (bash_tool.py) │ │ +│ │ • BashTool - 执行命令 │ │ +│ │ • BashOutputTool - 读取输出 │ │ +│ │ • BashKillTool - 终止进程 │ │ +│ └──────────────────────────────────────┘ │ +│ ┌──────────────────────────────────────┐ │ +│ │ 会话笔记 (note_tool.py) │ │ +│ │ • SessionNoteTool - 持久化记忆 │ │ +│ └──────────────────────────────────────┘ │ +│ ┌──────────────────────────────────────┐ │ +│ │ 搜索工具 (glm_search_tool.py) │ │ +│ │ • GLMSearchTool - 网页搜索 │ │ +│ │ • GLMBatchSearchTool - 批量搜索 │ │ +│ └──────────────────────────────────────┘ │ +└────────┬─────────────────────────────────────────────────────────────────┘ + │ + ▼ +┌─────────────────────────────────────────────────────────────────────────┐ +│ 4. 准备 System Prompt (system_prompt.md) │ +├─────────────────────────────────────────────────────────────────────────┤ +│ 4.1 加载基础 System Prompt │ +│ ↓ │ +│ 4.2 注入 Skills 元数据 ({SKILLS_METADATA}) │ +│ ↓ │ +│ 4.3 注入工作空间信息 (agent.py:64-66) │ +│ "## Current Workspace │ +│ You are currently working in: /path/to/workspace" │ +│ ↓ │ +│ 4.4 注入当前时间 (agent.py:69-71) ✨ NEW │ +│ "## Current Date and Time │ +│ Current date and time: 2025-11-17 09:05:37 (Monday)" │ +└────────┬─────────────────────────────────────────────────────────────────┘ + │ + ▼ +┌─────────────────────────────────────────────────────────────────────────┐ +│ 5. 创建 Agent 实例 (agent.py) │ +├─────────────────────────────────────────────────────────────────────────┤ +│ Agent( │ +│ llm_client=llm_client, │ +│ system_prompt=system_prompt, # 已注入所有上下文 │ +│ tools=tools, # 所有加载的工具 │ +│ max_steps=100, # 最大执行步数 │ +│ workspace_dir=workspace_dir, # 工作目录 │ +│ token_limit=80000 # Token 限制 │ +│ ) │ +│ │ +│ 初始化: │ +│ • messages = [system_message] # 消息历史 │ +│ • logger = AgentLogger() # 日志系统 │ +└────────┬─────────────────────────────────────────────────────────────────┘ + │ + ▼ +┌─────────────────────────────────────────────────────────────────────────┐ +│ 6. 进入交互循环 (cli.py) │ +└─────────────────────────────────────────────────────────────────────────┘ + │ + └──→ (见下方详细流程) +``` + +--- + +## 2. Agent 执行循环详细流程 + +``` +┌─────────────────────────────────────────────────────────────────────────┐ +│ Agent.run() 执行循环 │ +└─────────────────────────────────────────────────────────────────────────┘ + + 用户输入 (prompt_toolkit) + │ + ├─→ "帮我创建一个 Python 脚本" + │ + ▼ + ┌───────────────────┐ + │ agent.add_user_ │ 添加用户消息到历史 + │ message() │ + └─────────┬─────────┘ + │ + ▼ + ┌──────────────────────────────────────────────────────────────────┐ + │ Agent.run() 开始 │ + └──────────────────────────────────────────────────────────────────┘ + │ + │ step = 0 + │ + ╔═════════╧═════════════════════════════════════════════════════════╗ + ║ LOOP: while step < max_steps (默认 100) ║ + ╚═════════╤═════════════════════════════════════════════════════════╝ + │ + ▼ + ┌──────────────────────────────────────────────────────────────────┐ + │ Step 1: 检查 Token 限制 (_estimate_tokens) │ + ├──────────────────────────────────────────────────────────────────┤ + │ 使用 tiktoken (cl100k_base) 计算当前消息历史 token 数 │ + │ │ + │ if tokens > token_limit (80000): │ + │ ▼ │ + │ ┌─────────────────────────────────────────────┐ │ + │ │ 触发摘要 (_summarize_messages) │ │ + │ │ • 保留所有 user 消息 │ │ + │ │ • 摘要每轮执行过程 │ │ + │ │ • 调用 LLM 生成简洁摘要 │ │ + │ │ • 替换原消息列表 │ │ + │ └─────────────────────────────────────────────┘ │ + └────────┬──────────────────────────────────────────────────────────┘ + │ + ▼ + ┌──────────────────────────────────────────────────────────────────┐ + │ Step 2: 调用 LLM (llm_client.generate) │ + ├──────────────────────────────────────────────────────────────────┤ + │ 请求内容: │ + │ • messages: 完整消息历史 │ + │ • tools: 工具列表 (JSON Schema) │ + │ │ + │ LLM 处理: │ + │ ┌────────────────────────────────────┐ │ + │ │ Provider: Anthropic or OpenAI │ │ + │ │ ↓ │ │ + │ │ API 请求 (httpx.AsyncClient) │ │ + │ │ ↓ │ │ + │ │ 重试机制 (如果失败) │ │ + │ │ • 指数退避 │ │ + │ │ • 终端显示重试信息 │ │ + │ │ ↓ │ │ + │ │ 响应解析 │ │ + │ │ • content (文本响应) │ │ + │ │ • thinking (思考过程) │ │ + │ │ • tool_calls (工具调用列表) │ │ + │ │ • finish_reason │ │ + │ └────────────────────────────────────┘ │ + └────────┬──────────────────────────────────────────────────────────┘ + │ + ▼ + ┌──────────────────────────────────────────────────────────────────┐ + │ Step 3: 处理响应 │ + ├──────────────────────────────────────────────────────────────────┤ + │ • 记录日志 (logger.log_response) │ + │ • 添加 assistant 消息到历史 │ + │ • 在终端打印 thinking (如果有) │ + │ • 在终端打印 content │ + └────────┬──────────────────────────────────────────────────────────┘ + │ + ▼ + ┌──────────────────────────────────────────────────────────────────┐ + │ Step 4: 检查是否有工具调用 │ + └────────┬──────────────────────────────────────────────────────────┘ + │ + │ if NO tool_calls: + │ └─→ 任务完成,返回 content ✓ + │ + │ if tool_calls exist: + │ └─→ 继续执行工具 + │ + ▼ + ╔═══════════════════════════════════════════════════════════════════╗ + ║ LOOP: for each tool_call in tool_calls ║ + ╚═════════╤═════════════════════════════════════════════════════════╝ + │ + ▼ + ┌─────────────────────────────────────────────────────────────────┐ + │ Step 5: 执行单个工具调用 │ + ├─────────────────────────────────────────────────────────────────┤ + │ 解析: │ + │ • tool_call_id │ + │ • function_name (如: "read_file") │ + │ • arguments (如: {"file_path": "test.py"}) │ + │ │ + │ 在终端打印: │ + │ 🔧 Tool Call: read_file │ + │ Arguments: │ + │ { │ + │ "file_path": "test.py" │ + │ } │ + └────────┬─────────────────────────────────────────────────────────┘ + │ + ▼ + ┌─────────────────────────────────────────────────────────────────┐ + │ Step 6: 查找并执行工具 │ + ├─────────────────────────────────────────────────────────────────┤ + │ if function_name not in tools: │ + │ result = ToolResult(error="Unknown tool") │ + │ else: │ + │ try: │ + │ tool = tools[function_name] │ + │ result = await tool.execute(**arguments) │ + │ except Exception as e: │ + │ result = ToolResult(error=str(e)) │ + │ │ + │ 工具执行示例: │ + │ ┌────────────────────────────────────┐ │ + │ │ ReadTool.execute(file_path) │ │ + │ │ ↓ │ │ + │ │ 解析路径 (绝对/相对) │ │ + │ │ ↓ │ │ + │ │ 读取文件内容 │ │ + │ │ ↓ │ │ + │ │ 返回 ToolResult( │ │ + │ │ success=True, │ │ + │ │ content="文件内容..." │ │ + │ │ ) │ │ + │ └────────────────────────────────────┘ │ + └────────┬─────────────────────────────────────────────────────────┘ + │ + ▼ + ┌─────────────────────────────────────────────────────────────────┐ + │ Step 7: 处理工具结果 │ + ├─────────────────────────────────────────────────────────────────┤ + │ • 记录日志 (logger.log_tool_result) │ + │ • 在终端打印结果: │ + │ ✓ Result: 文件内容... (成功) │ + │ ✗ Error: xxx (失败) │ + │ • 添加 tool 消息到历史: │ + │ Message( │ + │ role="tool", │ + │ content=result.content or f"Error: {result.error}", │ + │ tool_call_id=tool_call_id, │ + │ name=function_name │ + │ ) │ + └────────┬─────────────────────────────────────────────────────────┘ + │ + └─→ 继续下一个 tool_call (如果有) + + ╔═══════════════════════════════════════════════════════════════════╗ + ║ END LOOP: all tool_calls processed ║ + ╚═════════╤═════════════════════════════════════════════════════════╝ + │ + ▼ + ┌─────────────────────────────────────────────────────────────────┐ + │ Step 8: 增加步数计数 │ + ├─────────────────────────────────────────────────────────────────┤ + │ step += 1 │ + │ │ + │ 回到循环开始 (Step 1) │ + │ • LLM 看到新的 tool 消息 │ + │ • 继续生成下一步响应 │ + │ • 可能再次调用工具或完成任务 │ + └─────────────────────────────────────────────────────────────────┘ + + ╔═══════════════════════════════════════════════════════════════════╗ + ║ END LOOP: task complete or max_steps reached ║ + ╚═════════╤═════════════════════════════════════════════════════════╝ + │ + ▼ + ┌─────────────────────────────────────────────────────────────────┐ + │ 返回最终结果 │ + ├─────────────────────────────────────────────────────────────────┤ + │ • 成功: 返回 LLM 的最终 content │ + │ • 超时: 返回 "Task couldn't be completed after N steps" │ + └─────────────────────────────────────────────────────────────────┘ +``` + +--- + +## 3. 消息历史结构 + +``` +┌─────────────────────────────────────────────────────────────────────────┐ +│ messages 数组结构 │ +├─────────────────────────────────────────────────────────────────────────┤ +│ │ +│ [0] Message(role="system", content=system_prompt) │ +│ ↑ │ +│ └─ 包含: 身份、能力、工具列表、工作空间、当前时间 │ +│ │ +│ [1] Message(role="user", content="用户请求") │ +│ │ +│ [2] Message(role="assistant", │ +│ content="我会帮你...", │ +│ thinking="思考过程...", │ +│ tool_calls=[ToolCall(...)]) │ +│ │ +│ [3] Message(role="tool", │ +│ content="工具返回结果", │ +│ tool_call_id="call_123", │ +│ name="read_file") │ +│ │ +│ [4] Message(role="assistant", │ +│ content="根据文件内容...", │ +│ tool_calls=[ToolCall(...)]) │ +│ │ +│ [5] Message(role="tool", ...) │ +│ │ +│ ... │ +│ │ +│ 当 tokens > 80000 时,触发摘要: │ +│ ↓ │ +│ [0] system │ +│ [1] user 请求 1 │ +│ [2] user "[Summary] 执行过程摘要..." ← 替代原来的多个 assistant/tool │ +│ [3] user 请求 2 │ +│ [4] user "[Summary] ..." │ +│ ... │ +└─────────────────────────────────────────────────────────────────────────┘ +``` + +--- + +## 4. 工具调用机制 + +``` +┌─────────────────────────────────────────────────────────────────────────┐ +│ 工具系统架构 │ +└─────────────────────────────────────────────────────────────────────────┘ + + Tool 基类 + (tools/base.py) + │ + ┌────────────────┼────────────────┐ + │ │ │ + ▼ ▼ ▼ + ┌──────────┐ ┌──────────┐ ┌──────────┐ + │ ReadTool │ │ BashTool │ │ SkillTool│ + └──────────┘ └──────────┘ └──────────┘ + │ │ │ + │ │ │ + ▼ ▼ ▼ + +┌─────────────────────────────────────────────────────────────────────────┐ +│ 所有工具必须实现的接口: │ +├─────────────────────────────────────────────────────────────────────────┤ +│ │ +│ class Tool(ABC): │ +│ @property │ +│ def name(self) -> str: │ +│ """工具名称,如 'read_file'""" │ +│ │ +│ @property │ +│ def description(self) -> str: │ +│ """工具描述,告诉 LLM 何时使用""" │ +│ │ +│ @property │ +│ def parameters(self) -> dict: │ +│ """JSON Schema,定义参数格式""" │ +│ │ +│ async def execute(self, **kwargs) -> ToolResult: │ +│ """执行工具逻辑""" │ +│ │ +│ def to_schema(self) -> dict: │ +│ """转换为 Anthropic 格式""" │ +│ │ +│ def to_openai_schema(self) -> dict: │ +│ """转换为 OpenAI 格式""" │ +│ │ +└─────────────────────────────────────────────────────────────────────────┘ + +工具调用流程: + + LLM 决定调用工具 + │ + ├─→ tool_calls = [ + │ { + │ "id": "call_abc123", + │ "function": { + │ "name": "read_file", + │ "arguments": {"file_path": "test.py"} + │ } + │ } + │ ] + │ + ▼ + Agent 查找工具 + │ + ├─→ tool = tools["read_file"] + │ + ▼ + 执行工具 + │ + ├─→ result = await tool.execute(file_path="test.py") + │ + ▼ + 返回结果 + │ + └─→ ToolResult( + success=True, + content="文件内容...", + error=None + ) +``` + +--- + +## 5. Skills 渐进式披露机制 + +``` +┌─────────────────────────────────────────────────────────────────────────┐ +│ Claude Skills 渐进式加载 │ +└─────────────────────────────────────────────────────────────────────────┘ + + Level 1: 启动时加载元数据 + │ + ├─→ skill_loader.get_skills_metadata_prompt() + │ ↓ + │ 返回所有 skills 的简要信息: + │ "Available Skills: + │ - pdf: Create and manipulate PDF files + │ - pptx: Create PowerPoint presentations + │ - testing: Advanced testing patterns + │ ..." + │ + │ 注入到 system_prompt 的 {SKILLS_METADATA} + │ + ▼ + Level 2: 按需加载完整内容 + │ + ├─→ LLM 决定: "我需要 pdf skill" + │ ↓ + │ 调用工具: get_skill(skill_name="pdf") + │ ↓ + │ skill_loader.get_skill_content("pdf") + │ ↓ + │ 返回完整的 skill 指导文档 (markdown) + │ 包含: 详细说明、示例、最佳实践 + │ + ▼ + Level 3+: 访问额外资源 + │ + ├─→ Skill 文档中引用脚本/模板 + │ ↓ + │ LLM 使用 read_file 读取: + │ "skills/pdf/examples/create_invoice.py" + │ ↓ + │ 获取示例代码并应用到当前任务 + │ + ▼ + 执行任务 + │ + └─→ 使用 bash/file 工具执行 skill 指导的操作 +``` + +--- + +## 6. 日志系统 + +``` +┌─────────────────────────────────────────────────────────────────────────┐ +│ AgentLogger (logger.py) │ +├─────────────────────────────────────────────────────────────────────────┤ +│ │ +│ 每次 agent.run() 创建新的日志文件: │ +│ workspace/agent_YYYYMMDD_HHMMSS.log │ +│ │ +│ 记录内容: │ +│ ┌────────────────────────────────────────────┐ │ +│ │ [2025-11-17 09:05:37] RUN START │ │ +│ ├────────────────────────────────────────────┤ │ +│ │ [REQUEST] Step 1 │ │ +│ │ Messages: 2 messages │ │ +│ │ Tools: read_file, write_file, ... │ │ +│ ├────────────────────────────────────────────┤ │ +│ │ [RESPONSE] │ │ +│ │ Content: I'll help you... │ │ +│ │ Thinking: Let me analyze... │ │ +│ │ Tool Calls: 1 calls │ │ +│ ├────────────────────────────────────────────┤ │ +│ │ [TOOL] read_file │ │ +│ │ Arguments: {file_path: "test.py"} │ │ +│ │ Result: SUCCESS │ │ +│ │ Content: (前 500 字符) │ │ +│ ├────────────────────────────────────────────┤ │ +│ │ [REQUEST] Step 2 │ │ +│ │ ... │ │ +│ └────────────────────────────────────────────┘ │ +│ │ +│ 用途: │ +│ • 调试 LLM 行为 │ +│ • 追踪工具调用历史 │ +│ • 分析 token 使用 │ +└─────────────────────────────────────────────────────────────────────────┘ +``` + +--- + +## 7. 完整交互示例 + +``` +用户: "帮我创建一个 hello.py 文件,打印 'Hello World'" + +┌─────────────────────────────────────────────────────────────────────────┐ +│ Step 1/100 │ +├─────────────────────────────────────────────────────────────────────────┤ +│ │ +│ 💭 Thinking: │ +│ 用户想创建一个简单的 Python 脚本。我需要使用 write_file 工具。 │ +│ │ +│ 🤖 Assistant: │ +│ 我会帮你创建 hello.py 文件。 │ +│ │ +│ 🔧 Tool Call: write_file │ +│ Arguments: │ +│ { │ +│ "file_path": "hello.py", │ +│ "content": "print('Hello World')" │ +│ } │ +│ │ +│ ✓ Result: File written successfully to /workspace/hello.py │ +└─────────────────────────────────────────────────────────────────────────┘ + +┌─────────────────────────────────────────────────────────────────────────┐ +│ Step 2/100 │ +├─────────────────────────────────────────────────────────────────────────┤ +│ │ +│ 🤖 Assistant: │ +│ 已经为你创建了 hello.py 文件,包含打印 "Hello World" 的代码。 │ +│ 你可以使用 `python hello.py` 运行它。 │ +└─────────────────────────────────────────────────────────────────────────┘ + +完成! (2 步) +``` + +--- + +## 总结 + +**核心流程**: +``` +配置加载 → LLM初始化 → 工具加载 → System Prompt准备 → +Agent创建 → 交互循环 (用户输入 → LLM推理 → 工具调用 → 结果返回) +``` + +**关键特性**: +- ✅ 自动 token 管理和上下文摘要 +- ✅ 渐进式技能加载 +- ✅ 完整的重试机制 +- ✅ 详细的日志记录 +- ✅ 多 LLM 提供商支持 +- ✅ 工作空间和时间上下文感知 (新增) From cba6536da3b249f4bd4267de4a85d86017e3f1ee Mon Sep 17 00:00:00 2001 From: Claude Date: Mon, 17 Nov 2025 09:50:13 +0000 Subject: [PATCH 12/29] =?UTF-8?q?docs:=20=E6=B7=BB=E5=8A=A0=E5=90=8E?= =?UTF-8?q?=E7=AB=AF=E6=9E=B6=E6=9E=84=E8=AE=BE=E8=AE=A1=E6=96=87=E6=A1=A3?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit 添加两个完整的设计文档： 1. BACKEND_WORKSPACE_DESIGN.md - 4种 workspace 方案对比分析 - 推荐方案：统一环境 + 用户文件隔离 - 详细的实现代码示例 - 配额管理和安全控制方案 2. FASTAPI_BACKEND_ARCHITECTURE.md - 完整的 FastAPI 后端架构设计 - SQLite 数据库设计（用户、会话、消息、文件） - 核心服务模块（Session、Agent、Workspace、History） - RESTful API 接口定义 - 安全机制（命令白名单、包白名单） - 部署配置和初始化脚本 基于讨论确定的方案： - 多轮对话 session 管理 - 共享环境 + 用户隔离 - 文件持久化（只保留特定格式） - SQLite 存储对话历史 --- docs/BACKEND_WORKSPACE_DESIGN.md | 616 +++++++++++ docs/FASTAPI_BACKEND_ARCHITECTURE.md | 1452 ++++++++++++++++++++++++++ 2 files changed, 2068 insertions(+) create mode 100644 docs/BACKEND_WORKSPACE_DESIGN.md create mode 100644 docs/FASTAPI_BACKEND_ARCHITECTURE.md diff --git a/docs/BACKEND_WORKSPACE_DESIGN.md b/docs/BACKEND_WORKSPACE_DESIGN.md new file mode 100644 index 0000000..eed1c69 --- /dev/null +++ b/docs/BACKEND_WORKSPACE_DESIGN.md @@ -0,0 +1,616 @@ +# Mini-Agent 后端 Workspace 设计方案 + +## 核心问题 +Workspace 应该如何组织？ +- 跟着用户走？ +- 跟着 session 走？ +- 统一环境？ + +--- + +## 方案对比 + +### 📊 方案1: Workspace 跟用户走 + +``` +/data/workspaces/ + ├─ user_12345/ + │ ├─ .venv/ ← 用户的 Python 环境 + │ ├─ files/ ← 用户所有文件 + │ ├─ .agent_memory.json ← 持久化记忆 + │ └─ sessions/ + │ ├─ session_abc/ ← 会话日志 + │ └─ session_def/ + └─ user_67890/ + ├─ .venv/ + ├─ files/ + └─ ... +``` + +**优点**: +- ✅ 用户文件持久化（可以跨会话访问） +- ✅ 包只需装一次（reportlab 装一次，所有会话都能用） +- ✅ 有"个人工作空间"的感觉 + +**缺点**: +- ❌ 不同任务的包可能冲突（A任务装 pandas 1.0，B任务需要 2.0） +- ❌ 用户可能装一堆包，占用大量空间 +- ❌ 安全隔离不够强（一个会话的恶意代码影响整个用户空间） +- ❌ 需要配额和清理策略 + +**适用场景**: +- 个人使用 +- 需要长期保存文件的场景 +- 用户数量少 + +--- + +### 📊 方案2: Workspace 跟 Session 走 + +``` +/data/workspaces/ + ├─ session_abc123/ + │ ├─ .venv/ ← 这个会话的环境 + │ ├─ files/ ← 这个会话的文件 + │ ├─ user_id.txt ← 记录归属 + │ └─ .agent_memory.json + ├─ session_def456/ + │ ├─ .venv/ + │ └─ files/ + └─ session_ghi789/ + └─ ... + +会话结束 → 自动删除或归档 +``` + +**优点**: +- ✅ 完全隔离（每个会话独立环境） +- ✅ 会话结束直接删除，不占空间 +- ✅ 不会互相污染 +- ✅ 安全性最高 + +**缺点**: +- ❌ 无法跨会话访问文件 +- ❌ 每次都要重新装包（慢！） +- ❌ 资源浪费（每个会话都装一遍 pandas） +- ❌ 用户体验差（上次生成的文件这次看不到） + +**适用场景**: +- 一次性任务 +- 安全要求极高 +- 不需要文件持久化 + +--- + +### 📊 方案3: 统一环境 + 用户文件隔离 ⭐ 推荐 + +``` +/data/ + ├─ shared_env/ + │ ├─ base.venv/ ← 预装常用包的基础环境 + │ │ ├─ pandas + │ │ ├─ numpy + │ │ ├─ reportlab + │ │ ├─ python-pptx + │ │ └─ openpyxl + │ └─ allowed_packages.txt ← 白名单 + │ + └─ workspaces/ + ├─ user_12345/ + │ ├─ sessions/ + │ │ ├─ session_abc/ + │ │ │ ├─ files/ ← 会话文件 + │ │ │ └─ logs/ + │ │ └─ session_def/ + │ │ └─ files/ + │ └─ shared_files/ ← 跨会话共享文件 + └─ user_67890/ + └─ ... +``` + +**工作流程**: +```python +# 1. 创建会话时 +workspace = f"/data/workspaces/user_{user_id}/sessions/session_{session_id}" +os.makedirs(workspace) + +# 2. 使用共享环境（只读） +shared_venv = "/data/shared_env/base.venv" + +# 3. 如果需要额外的包 +if package in allowed_packages: + # 在用户空间临时安装 + uv pip install --prefix {workspace}/.local {package} +else: + raise PermissionError("Package not allowed") + +# 4. 会话结束 +# - 保留文件到 shared_files/ +# - 删除临时数据 +``` + +**优点**: +- ✅ 常用包预装，启动快 +- ✅ 用户之间完全隔离 +- ✅ 会话之间可以共享文件（shared_files） +- ✅ 可以限制允许安装的包 +- ✅ 资源占用适中 + +**缺点**: +- ⚠️ 需要维护共享环境 +- ⚠️ 白名单管理有成本 + +**适用场景**: ⭐ **生产环境推荐** +- 多用户 SaaS +- 需要性能和安全平衡 +- 有运维能力 + +--- + +### 📊 方案4: Docker 容器隔离（最安全） + +``` +每个会话一个容器: + +docker run --rm \ + --name "session_abc123" \ + -v /data/workspaces/user_12345/session_abc:/workspace \ + --cpus=0.5 \ + --memory=512m \ + --pids-limit=50 \ + --network=agent-net \ # 受限网络 + --read-only \ # 只读根文件系统 + --tmpfs /tmp:size=100m \ + mini-agent:latest +``` + +**镜像构建**: +```dockerfile +FROM python:3.11-slim +RUN uv venv /opt/venv && \ + /opt/venv/bin/pip install pandas numpy reportlab python-pptx openpyxl +COPY mini_agent /app/mini_agent +WORKDIR /workspace +CMD ["python", "-m", "mini_agent.agent_server"] +``` + +**优点**: +- ✅ 完全隔离（进程、网络、文件系统） +- ✅ 资源限制（CPU、内存、进程数） +- ✅ 安全性最高 +- ✅ 可以预装环境 +- ✅ 崩溃不影响宿主机 + +**缺点**: +- ❌ 需要 Docker 环境 +- ❌ 启动稍慢（1-2秒） +- ❌ 运维复杂度高 + +**适用场景**: ⭐ **大规模生产环境** +- 安全要求极高 +- 用户量大 +- 有 DevOps 团队 + +--- + +## 🎯 推荐方案组合 + +### 开发/小规模（< 1000 用户） +**方案 3: 统一环境 + 用户隔离** + +```python +# FastAPI 后端结构 +/backend/ + ├─ app/ + │ ├─ main.py + │ ├─ routers/ + │ │ ├─ chat.py # 聊天 API + │ │ └─ files.py # 文件管理 API + │ ├─ services/ + │ │ ├─ agent_service.py + │ │ └─ workspace_service.py + │ └─ models/ + │ ├─ user.py + │ └─ session.py + └─ config/ + ├─ allowed_packages.txt + └─ resource_limits.yaml +``` + +### 生产/大规模（> 1000 用户） +**方案 4: Docker 容器** + +```python +# 使用 Kubernetes/Docker Swarm +apiVersion: v1 +kind: Pod +metadata: + name: agent-session-{{ session_id }} +spec: + containers: + - name: mini-agent + image: mini-agent:latest + resources: + limits: + cpu: 500m + memory: 512Mi + volumeMounts: + - name: workspace + mountPath: /workspace +``` + +--- + +## 🔧 实现细节 + +### 方案3 详细设计 + +#### 1. 目录结构 +``` +/data/ + ├─ shared_env/ + │ ├─ base.venv/ + │ ├─ allowed_packages.txt + │ └─ package_cache/ # 预下载的包 + │ + └─ workspaces/ + ├─ user_12345/ + │ ├─ quota.json # 配额信息 + │ ├─ shared_files/ # 跨会话文件 + │ │ ├─ data/ + │ │ └─ outputs/ + │ └─ sessions/ + │ ├─ session_abc/ + │ │ ├─ files/ + │ │ ├─ logs/ + │ │ └─ .local/ # 会话特定的包 + │ └─ session_def/ + └─ user_67890/ +``` + +#### 2. 配额管理 +```yaml +# quota.json +{ + "user_id": "12345", + "limits": { + "max_workspace_size_mb": 1024, # 1GB + "max_sessions": 10, + "max_session_duration_hours": 24, + "max_files_per_session": 100 + }, + "current": { + "workspace_size_mb": 345, + "active_sessions": 2 + } +} +``` + +#### 3. 包白名单 +``` +# allowed_packages.txt +pandas>=2.0.0,<3.0.0 +numpy>=1.24.0,<2.0.0 +reportlab>=4.0.0 +python-pptx>=0.6.0 +openpyxl>=3.1.0 +matplotlib>=3.7.0 +requests>=2.31.0 +# 不允许危险包 +# NOT: os-sys, subprocess32, etc. +``` + +#### 4. Workspace Service +```python +# services/workspace_service.py +import os +import shutil +from pathlib import Path +from typing import Optional + +class WorkspaceService: + def __init__(self, base_path: str = "/data/workspaces"): + self.base_path = Path(base_path) + self.shared_env = Path("/data/shared_env/base.venv") + + def create_session_workspace( + self, + user_id: str, + session_id: str + ) -> Path: + """创建会话工作空间""" + user_dir = self.base_path / f"user_{user_id}" + session_dir = user_dir / "sessions" / session_id + + # 检查配额 + if not self._check_quota(user_id): + raise QuotaExceededError("User quota exceeded") + + # 创建目录 + session_dir.mkdir(parents=True, exist_ok=True) + (session_dir / "files").mkdir(exist_ok=True) + (session_dir / "logs").mkdir(exist_ok=True) + + # 创建符号链接到共享文件 + shared_link = session_dir / "shared" + shared_files = user_dir / "shared_files" + shared_files.mkdir(exist_ok=True) + if not shared_link.exists(): + shared_link.symlink_to(shared_files) + + return session_dir + + def cleanup_session( + self, + user_id: str, + session_id: str, + keep_files: bool = True + ): + """清理会话""" + session_dir = ( + self.base_path / + f"user_{user_id}" / + "sessions" / + session_id + ) + + if keep_files: + # 移动重要文件到 shared_files + files_dir = session_dir / "files" + if files_dir.exists(): + for file in files_dir.iterdir(): + if file.suffix in ['.pdf', '.xlsx', '.pptx', '.docx']: + dest = ( + self.base_path / + f"user_{user_id}" / + "shared_files" / + "outputs" / + file.name + ) + shutil.move(str(file), str(dest)) + + # 删除会话目录 + shutil.rmtree(session_dir, ignore_errors=True) + + def _check_quota(self, user_id: str) -> bool: + """检查用户配额""" + user_dir = self.base_path / f"user_{user_id}" + quota_file = user_dir / "quota.json" + + if not quota_file.exists(): + return True + + import json + with open(quota_file) as f: + quota = json.load(f) + + # 检查空间 + current_size = self._get_dir_size(user_dir) + if current_size > quota['limits']['max_workspace_size_mb'] * 1024 * 1024: + return False + + # 检查会话数 + sessions = list((user_dir / "sessions").iterdir()) + if len(sessions) >= quota['limits']['max_sessions']: + return False + + return True + + def _get_dir_size(self, path: Path) -> int: + """获取目录大小（字节）""" + total = 0 + for entry in path.rglob('*'): + if entry.is_file(): + total += entry.stat().st_size + return total +``` + +#### 5. 安全的 Bash Tool +```python +# tools/safe_bash_tool.py +import subprocess +from pathlib import Path +from typing import List + +FORBIDDEN_COMMANDS = [ + 'rm', 'rmdir', 'dd', 'mkfs', # 删除/格式化 + 'curl', 'wget', 'nc', 'telnet', # 网络（除非白名单） + 'sudo', 'su', 'chmod', 'chown', # 权限 + 'kill', 'killall', 'pkill', # 进程管理 +] + +ALLOWED_COMMANDS = [ + 'python', 'uv', 'pip', # Python + 'ls', 'cat', 'echo', 'cd', 'pwd', # 基础命令 + 'mkdir', 'touch', # 安全的文件操作 +] + +class SafeBashTool(BashTool): + def __init__(self, workspace_dir: str, allowed_packages: List[str]): + super().__init__(workspace_dir) + self.allowed_packages = allowed_packages + + async def execute(self, command: str, **kwargs) -> ToolResult: + # 解析命令 + cmd_parts = command.split() + if not cmd_parts: + return ToolResult(success=False, error="Empty command") + + base_cmd = cmd_parts[0] + + # 检查黑名单 + if base_cmd in FORBIDDEN_COMMANDS: + return ToolResult( + success=False, + error=f"Command '{base_cmd}' is not allowed" + ) + + # 检查白名单 + if base_cmd not in ALLOWED_COMMANDS: + return ToolResult( + success=False, + error=f"Command '{base_cmd}' is not in whitelist" + ) + + # 检查 pip install + if 'pip install' in command or 'uv pip install' in command: + packages = self._extract_packages(command) + for pkg in packages: + if pkg not in self.allowed_packages: + return ToolResult( + success=False, + error=f"Package '{pkg}' is not allowed" + ) + + # 执行命令（带超时） + try: + result = subprocess.run( + command, + shell=True, + cwd=self.workspace_dir, + capture_output=True, + text=True, + timeout=30, # 30秒超时 + env={ + **os.environ, + 'PYTHONPATH': str(self.workspace_dir), + } + ) + + return ToolResult( + success=result.returncode == 0, + content=result.stdout, + error=result.stderr if result.returncode != 0 else None + ) + + except subprocess.TimeoutExpired: + return ToolResult( + success=False, + error="Command execution timeout (30s)" + ) + + def _extract_packages(self, command: str) -> List[str]: + """从 pip install 命令提取包名""" + # 简化实现 + parts = command.split() + if 'install' in parts: + idx = parts.index('install') + return [p for p in parts[idx+1:] if not p.startswith('-')] + return [] +``` + +#### 6. FastAPI 集成 +```python +# app/main.py +from fastapi import FastAPI, HTTPException, Depends +from fastapi.responses import StreamingResponse +from pydantic import BaseModel +import asyncio +import uuid + +app = FastAPI(title="Mini-Agent API") + +# 服务初始化 +workspace_service = WorkspaceService() + +class ChatRequest(BaseModel): + user_id: str + session_id: str | None = None + message: str + +class ChatResponse(BaseModel): + session_id: str + message: str + files: list[str] = [] + +@app.post("/api/chat") +async def chat(request: ChatRequest): + """聊天接口""" + # 创建或获取会话 + session_id = request.session_id or str(uuid.uuid4()) + + try: + # 创建工作空间 + workspace = workspace_service.create_session_workspace( + request.user_id, + session_id + ) + + # 创建 Agent + agent = create_agent( + workspace_dir=str(workspace), + user_id=request.user_id + ) + + # 执行任务 + agent.add_user_message(request.message) + response = await agent.run() + + # 获取生成的文件 + files = list((workspace / "files").glob("*")) + + return ChatResponse( + session_id=session_id, + message=response, + files=[f.name for f in files] + ) + + except QuotaExceededError: + raise HTTPException(status_code=429, detail="Quota exceeded") + except Exception as e: + raise HTTPException(status_code=500, detail=str(e)) + +@app.get("/api/files/{user_id}/{filename}") +async def download_file(user_id: str, filename: str): + """下载文件""" + file_path = ( + Path("/data/workspaces") / + f"user_{user_id}" / + "shared_files" / + "outputs" / + filename + ) + + if not file_path.exists(): + raise HTTPException(status_code=404, detail="File not found") + + return FileResponse(file_path) + +@app.delete("/api/sessions/{user_id}/{session_id}") +async def cleanup_session(user_id: str, session_id: str): + """清理会话""" + workspace_service.cleanup_session(user_id, session_id) + return {"status": "success"} +``` + +--- + +## 📝 总结 + +### 推荐选择: + +1. **快速原型/个人使用**: 方案3（统一环境 + 用户隔离） +2. **生产环境**: 方案4（Docker 容器）+ 方案3 的文件组织 + +### 关键考虑点: + +| 维度 | 方案3 | 方案4 | +|------|-------|-------| +| 安全性 | ⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | +| 性能 | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐ | +| 运维复杂度 | ⭐⭐⭐ | ⭐⭐ | +| 资源效率 | ⭐⭐⭐⭐ | ⭐⭐⭐ | +| 扩展性 | ⭐⭐⭐ | ⭐⭐⭐⭐⭐ | + +### 实施路径: + +``` +阶段1: 本地开发 +└─ 使用方案3，单机部署 + +阶段2: 小规模生产 +└─ 方案3 + Nginx + Redis（会话缓存） + +阶段3: 大规模生产 +└─ 迁移到方案4（Docker/K8s）+ 分布式存储 +``` diff --git a/docs/FASTAPI_BACKEND_ARCHITECTURE.md b/docs/FASTAPI_BACKEND_ARCHITECTURE.md new file mode 100644 index 0000000..ba3ac1a --- /dev/null +++ b/docs/FASTAPI_BACKEND_ARCHITECTURE.md @@ -0,0 +1,1452 @@ +# Mini-Agent FastAPI 后端架构设计 + +> 基于讨论确定的方案：统一环境 + 用户文件隔离 + SQLite + 多轮对话 + +## 📋 目录 +- [架构概览](#架构概览) +- [目录结构](#目录结构) +- [数据库设计](#数据库设计) +- [核心模块](#核心模块) +- [API 接口](#api-接口) +- [Workspace 管理](#workspace-管理) +- [安全机制](#安全机制) +- [部署配置](#部署配置) + +--- + +## 架构概览 + +### 核心架构图 + +``` +┌─────────────────────────────────────────────────────────────────┐ +│ 前端 (React/Vue) │ +│ • 会话列表 • 对话界面 • 文件管理 • 用户设置 │ +└────────────────────────────┬────────────────────────────────────┘ + │ HTTP/WebSocket + ▼ +┌─────────────────────────────────────────────────────────────────┐ +│ FastAPI 应用层 │ +├─────────────────────────────────────────────────────────────────┤ +│ Routers: │ +│ ├─ /api/auth - 认证授权 │ +│ ├─ /api/sessions - 会话管理 │ +│ ├─ /api/chat - 对话接口 │ +│ ├─ /api/files - 文件管理 │ +│ └─ /api/admin - 管理接口 │ +└────────────────────────────┬────────────────────────────────────┘ + │ + ▼ +┌─────────────────────────────────────────────────────────────────┐ +│ 业务逻辑层 (Services) │ +├─────────────────────────────────────────────────────────────────┤ +│ • SessionService - 会话管理 │ +│ • AgentService - Agent 执行 │ +│ • WorkspaceService - 工作空间管理 │ +│ • HistoryService - 对话历史 │ +│ • FileService - 文件管理 │ +│ • QuotaService - 配额管理 │ +└────────────────────────────┬────────────────────────────────────┘ + │ + ┌──────────────┼──────────────┐ + │ │ │ + ▼ ▼ ▼ + ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ + │ SQLite │ │ Workspace │ │ Mini-Agent │ + │ 数据库 │ │ 文件系统 │ │ Core │ + └─────────────┘ └─────────────┘ └─────────────┘ +``` + +### 技术栈 + +```yaml +后端框架: FastAPI 0.104+ +数据库: SQLite 3.x (生产可升级 PostgreSQL) +ORM: SQLAlchemy 2.0+ +认证: JWT (python-jose) +任务队列: asyncio (简单) / Celery (复杂) +缓存: 内存 dict (简单) / Redis (生产) +日志: loguru +配置: pydantic-settings +``` + +--- + +## 目录结构 + +``` +backend/ +├── app/ +│ ├── __init__.py +│ ├── main.py # FastAPI 应用入口 +│ ├── config.py # 配置管理 +│ ├── dependencies.py # 依赖注入 +│ │ +│ ├── api/ # API 路由 +│ │ ├── __init__.py +│ │ ├── auth.py # 认证接口 +│ │ ├── sessions.py # 会话管理 +│ │ ├── chat.py # 对话接口 +│ │ ├── files.py # 文件管理 +│ │ └── admin.py # 管理接口 +│ │ +│ ├── services/ # 业务逻辑 +│ │ ├── __init__.py +│ │ ├── session_service.py # 会话服务 +│ │ ├── agent_service.py # Agent 服务 +│ │ ├── workspace_service.py # 工作空间服务 +│ │ ├── history_service.py # 历史服务 +│ │ ├── file_service.py # 文件服务 +│ │ └── quota_service.py # 配额服务 +│ │ +│ ├── models/ # 数据模型 +│ │ ├── __init__.py +│ │ ├── database.py # 数据库配置 +│ │ ├── user.py # 用户模型 +│ │ ├── session.py # 会话模型 +│ │ ├── message.py # 消息模型 +│ │ └── file.py # 文件模型 +│ │ +│ ├── schemas/ # Pydantic 模式 +│ │ ├── __init__.py +│ │ ├── auth.py # 认证请求/响应 +│ │ ├── session.py # 会话请求/响应 +│ │ ├── chat.py # 对话请求/响应 +│ │ └── file.py # 文件请求/响应 +│ │ +│ ├── core/ # 核心组件 +│ │ ├── __init__.py +│ │ ├── security.py # 安全相关 +│ │ ├── agent_wrapper.py # Agent 包装器 +│ │ └── allowed_packages.py # 包白名单 +│ │ +│ └── utils/ # 工具函数 +│ ├── __init__.py +│ ├── logger.py # 日志配置 +│ └── helpers.py # 辅助函数 +│ +├── data/ # 数据目录 +│ ├── database/ +│ │ └── mini_agent.db # SQLite 数据库 +│ ├── shared_env/ # 共享环境 +│ │ ├── base.venv/ # 预装包的虚拟环境 +│ │ └── allowed_packages.txt # 包白名单 +│ └── workspaces/ # 用户工作空间 +│ ├── user_{user_id}/ +│ │ ├── shared_files/ # 持久化文件 +│ │ │ ├── outputs/ # 生成的文档 +│ │ │ └── data/ # 数据文件 +│ │ └── sessions/ +│ │ └── {session_id}/ +│ │ ├── files/ # 会话临时文件 +│ │ └── logs/ # 会话日志 +│ └── user_{another_id}/ +│ +├── tests/ # 测试 +│ ├── __init__.py +│ ├── test_api/ +│ ├── test_services/ +│ └── test_models/ +│ +├── scripts/ # 脚本 +│ ├── init_db.py # 初始化数据库 +│ ├── setup_shared_env.py # 设置共享环境 +│ └── migrate.py # 数据迁移 +│ +├── requirements.txt # 依赖 +├── .env.example # 环境变量示例 +├── alembic.ini # 数据库迁移配置 +└── README.md +``` + +--- + +## 数据库设计 + +### ER 图 + +``` +┌──────────────┐ ┌──────────────┐ ┌──────────────┐ +│ users │───┐ │ sessions │───┐ │ messages │ +├──────────────┤ │ ├──────────────┤ │ ├──────────────┤ +│ id (PK) │ └──<│ user_id (FK) │ └──<│ session_id │ +│ username │ │ id (PK) │ │ id (PK) │ +│ email │ │ created_at │ │ role │ +│ hashed_pwd │ │ last_active │ │ content │ +│ created_at │ │ closed_at │ │ thinking │ +│ is_active │ │ status │ │ tool_calls │ +│ quota_* │ │ title │ │ created_at │ +└──────────────┘ └──────────────┘ └──────────────┘ + │ + │ + ▼ + ┌──────────────┐ + │ session_files│ + ├──────────────┤ + │ id (PK) │ + │ session_id │ + │ filename │ + │ file_path │ + │ file_size │ + │ mime_type │ + │ created_at │ + └──────────────┘ +``` + +### SQL Schema + +```sql +-- 用户表 +CREATE TABLE users ( + id VARCHAR(36) PRIMARY KEY, + username VARCHAR(100) UNIQUE NOT NULL, + email VARCHAR(255) UNIQUE NOT NULL, + hashed_password VARCHAR(255) NOT NULL, + created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP, + is_active BOOLEAN DEFAULT TRUE, + + -- 配额字段 + quota_max_sessions INTEGER DEFAULT 10, + quota_max_storage_mb INTEGER DEFAULT 1024, + quota_max_session_duration_hours INTEGER DEFAULT 24, + + INDEX idx_username (username), + INDEX idx_email (email) +); + +-- 会话表 +CREATE TABLE sessions ( + id VARCHAR(36) PRIMARY KEY, + user_id VARCHAR(36) NOT NULL, + created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP, + last_active TIMESTAMP DEFAULT CURRENT_TIMESTAMP, + closed_at TIMESTAMP NULL, + status VARCHAR(20) DEFAULT 'active', -- active, closed, expired + title VARCHAR(255) NULL, + + -- 统计字段 + message_count INTEGER DEFAULT 0, + turn_count INTEGER DEFAULT 0, + + INDEX idx_user_id (user_id), + INDEX idx_status (status), + INDEX idx_created_at (created_at), + FOREIGN KEY (user_id) REFERENCES users(id) ON DELETE CASCADE +); + +-- 消息表 +CREATE TABLE messages ( + id INTEGER PRIMARY KEY AUTOINCREMENT, + session_id VARCHAR(36) NOT NULL, + role VARCHAR(20) NOT NULL, -- system, user, assistant, tool + content TEXT, + thinking TEXT, + tool_calls TEXT, -- JSON string + tool_call_id VARCHAR(100), + created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP, + + INDEX idx_session_id (session_id), + INDEX idx_created_at (created_at), + FOREIGN KEY (session_id) REFERENCES sessions(id) ON DELETE CASCADE +); + +-- 会话文件表 +CREATE TABLE session_files ( + id INTEGER PRIMARY KEY AUTOINCREMENT, + session_id VARCHAR(36) NOT NULL, + filename VARCHAR(255) NOT NULL, + file_path VARCHAR(500) NOT NULL, + file_size INTEGER, + mime_type VARCHAR(100), + is_preserved BOOLEAN DEFAULT FALSE, -- 是否已保存到 shared_files + created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP, + + INDEX idx_session_id (session_id), + INDEX idx_filename (filename), + FOREIGN KEY (session_id) REFERENCES sessions(id) ON DELETE CASCADE +); + +-- 用户配额使用记录表 +CREATE TABLE quota_usage ( + id INTEGER PRIMARY KEY AUTOINCREMENT, + user_id VARCHAR(36) NOT NULL, + date DATE NOT NULL, + sessions_created INTEGER DEFAULT 0, + storage_used_mb INTEGER DEFAULT 0, + + UNIQUE(user_id, date), + INDEX idx_user_date (user_id, date), + FOREIGN KEY (user_id) REFERENCES users(id) ON DELETE CASCADE +); +``` + +--- + +## 核心模块 + +### 1. 配置管理 (`app/config.py`) + +```python +from pydantic_settings import BaseSettings +from functools import lru_cache +from pathlib import Path + +class Settings(BaseSettings): + # 应用配置 + app_name: str = "Mini-Agent Backend" + app_version: str = "0.1.0" + debug: bool = False + + # API 配置 + api_prefix: str = "/api" + cors_origins: list[str] = ["http://localhost:3000"] + + # 数据库配置 + database_url: str = "sqlite:///./data/database/mini_agent.db" + + # JWT 配置 + secret_key: str # 必须设置 + algorithm: str = "HS256" + access_token_expire_minutes: int = 60 * 24 # 24 小时 + + # MiniMax API 配置 + minimax_api_key: str + minimax_api_base: str = "https://api.minimax.chat" + minimax_model: str = "MiniMax-Text-01" + + # 工作空间配置 + workspace_base: Path = Path("./data/workspaces") + shared_env_path: Path = Path("./data/shared_env/base.venv") + allowed_packages_file: Path = Path("./data/shared_env/allowed_packages.txt") + + # 配额默认值 + default_max_sessions: int = 10 + default_max_storage_mb: int = 1024 + default_max_session_duration_hours: int = 24 + + # Agent 配置 + agent_max_steps: int = 100 + agent_token_limit: int = 80000 + + # 文件保留配置 + preserve_file_extensions: list[str] = [".pdf", ".xlsx", ".pptx", ".docx"] + + class Config: + env_file = ".env" + env_file_encoding = "utf-8" + +@lru_cache() +def get_settings() -> Settings: + return Settings() +``` + +### 2. 数据库模型 (`app/models/`) + +#### `database.py` +```python +from sqlalchemy import create_engine +from sqlalchemy.ext.declarative import declarative_base +from sqlalchemy.orm import sessionmaker +from app.config import get_settings + +settings = get_settings() + +# 创建引擎 +engine = create_engine( + settings.database_url, + connect_args={"check_same_thread": False}, # SQLite 需要 + echo=settings.debug +) + +# 会话工厂 +SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine) + +# Base 类 +Base = declarative_base() + +# 依赖注入：获取数据库会话 +def get_db(): + db = SessionLocal() + try: + yield db + finally: + db.close() +``` + +#### `user.py` +```python +from sqlalchemy import Column, String, Boolean, Integer, DateTime +from datetime import datetime +from .database import Base + +class User(Base): + __tablename__ = "users" + + id = Column(String(36), primary_key=True) + username = Column(String(100), unique=True, nullable=False, index=True) + email = Column(String(255), unique=True, nullable=False, index=True) + hashed_password = Column(String(255), nullable=False) + created_at = Column(DateTime, default=datetime.utcnow) + is_active = Column(Boolean, default=True) + + # 配额 + quota_max_sessions = Column(Integer, default=10) + quota_max_storage_mb = Column(Integer, default=1024) + quota_max_session_duration_hours = Column(Integer, default=24) +``` + +#### `session.py` +```python +from sqlalchemy import Column, String, Integer, DateTime, ForeignKey +from datetime import datetime +from .database import Base + +class Session(Base): + __tablename__ = "sessions" + + id = Column(String(36), primary_key=True) + user_id = Column(String(36), ForeignKey("users.id", ondelete="CASCADE"), nullable=False, index=True) + created_at = Column(DateTime, default=datetime.utcnow, index=True) + last_active = Column(DateTime, default=datetime.utcnow) + closed_at = Column(DateTime, nullable=True) + status = Column(String(20), default="active", index=True) + title = Column(String(255), nullable=True) + + message_count = Column(Integer, default=0) + turn_count = Column(Integer, default=0) +``` + +#### `message.py` +```python +from sqlalchemy import Column, String, Integer, Text, DateTime, ForeignKey +from datetime import datetime +from .database import Base + +class Message(Base): + __tablename__ = "messages" + + id = Column(Integer, primary_key=True, autoincrement=True) + session_id = Column(String(36), ForeignKey("sessions.id", ondelete="CASCADE"), nullable=False, index=True) + role = Column(String(20), nullable=False) + content = Column(Text, nullable=True) + thinking = Column(Text, nullable=True) + tool_calls = Column(Text, nullable=True) # JSON string + tool_call_id = Column(String(100), nullable=True) + created_at = Column(DateTime, default=datetime.utcnow, index=True) +``` + +### 3. Pydantic Schemas (`app/schemas/`) + +#### `session.py` +```python +from pydantic import BaseModel, Field +from datetime import datetime +from typing import Optional + +class SessionCreate(BaseModel): + """创建会话请求""" + title: Optional[str] = None + +class SessionResponse(BaseModel): + """会话响应""" + id: str + user_id: str + created_at: datetime + last_active: datetime + status: str + title: Optional[str] + message_count: int + turn_count: int + + class Config: + from_attributes = True + +class SessionList(BaseModel): + """会话列表响应""" + sessions: list[SessionResponse] + total: int +``` + +#### `chat.py` +```python +from pydantic import BaseModel, Field +from typing import Optional, List + +class ChatRequest(BaseModel): + """对话请求""" + message: str = Field(..., min_length=1, max_length=10000) + +class ChatResponse(BaseModel): + """对话响应""" + session_id: str + message: str + thinking: Optional[str] = None + files: List[str] = [] + turn: int + message_count: int +``` + +### 4. 业务服务 (`app/services/`) + +#### `workspace_service.py` +```python +from pathlib import Path +import shutil +from typing import List +from app.config import get_settings + +settings = get_settings() + +class WorkspaceService: + """工作空间管理服务""" + + def __init__(self): + self.base_path = settings.workspace_base + self.base_path.mkdir(parents=True, exist_ok=True) + + def create_session_workspace(self, user_id: str, session_id: str) -> Path: + """创建会话工作空间""" + session_dir = self._get_session_dir(user_id, session_id) + + # 创建目录结构 + session_dir.mkdir(parents=True, exist_ok=True) + (session_dir / "files").mkdir(exist_ok=True) + (session_dir / "logs").mkdir(exist_ok=True) + + # 创建符号链接到 shared_files + shared_dir = self._get_user_shared_dir(user_id) + shared_dir.mkdir(parents=True, exist_ok=True) + + shared_link = session_dir / "shared" + if not shared_link.exists(): + shared_link.symlink_to(shared_dir, target_is_directory=True) + + return session_dir + + def cleanup_session( + self, + user_id: str, + session_id: str, + preserve_files: bool = True + ) -> List[str]: + """清理会话工作空间""" + session_dir = self._get_session_dir(user_id, session_id) + preserved_files = [] + + if preserve_files: + # 保留特定格式的文件 + files_dir = session_dir / "files" + if files_dir.exists(): + for file in files_dir.iterdir(): + if file.suffix.lower() in settings.preserve_file_extensions: + # 移动到 shared_files/outputs + dest_dir = self._get_user_shared_dir(user_id) / "outputs" + dest_dir.mkdir(parents=True, exist_ok=True) + + timestamp = datetime.now().strftime("%Y%m%d_%H%M%S") + dest_file = dest_dir / f"{timestamp}_{file.name}" + shutil.copy2(file, dest_file) + preserved_files.append(str(dest_file)) + + # 删除会话目录 + if session_dir.exists(): + shutil.rmtree(session_dir, ignore_errors=True) + + return preserved_files + + def _get_session_dir(self, user_id: str, session_id: str) -> Path: + """获取会话目录路径""" + return self.base_path / f"user_{user_id}" / "sessions" / session_id + + def _get_user_shared_dir(self, user_id: str) -> Path: + """获取用户共享目录路径""" + return self.base_path / f"user_{user_id}" / "shared_files" + + def get_session_files(self, user_id: str, session_id: str) -> List[Path]: + """获取会话的所有文件""" + files_dir = self._get_session_dir(user_id, session_id) / "files" + if not files_dir.exists(): + return [] + return list(files_dir.iterdir()) +``` + +#### `history_service.py` +```python +from sqlalchemy.orm import Session as DBSession +from app.models.message import Message +from app.models.session import Session +from typing import List, Dict +import json + +class HistoryService: + """对话历史服务""" + + def __init__(self, db: DBSession): + self.db = db + + def save_message( + self, + session_id: str, + role: str, + content: str = None, + thinking: str = None, + tool_calls: List[Dict] = None, + tool_call_id: str = None + ) -> Message: + """保存消息到数据库""" + message = Message( + session_id=session_id, + role=role, + content=content, + thinking=thinking, + tool_calls=json.dumps(tool_calls, ensure_ascii=False) if tool_calls else None, + tool_call_id=tool_call_id + ) + self.db.add(message) + self.db.commit() + self.db.refresh(message) + + # 更新会话的消息计数 + session = self.db.query(Session).filter(Session.id == session_id).first() + if session: + session.message_count += 1 + if role == "user": + session.turn_count += 1 + self.db.commit() + + return message + + def load_session_history(self, session_id: str) -> List[Dict]: + """加载会话历史""" + messages = self.db.query(Message)\ + .filter(Message.session_id == session_id)\ + .order_by(Message.created_at)\ + .all() + + return [ + { + "role": msg.role, + "content": msg.content, + "thinking": msg.thinking, + "tool_calls": json.loads(msg.tool_calls) if msg.tool_calls else None, + "tool_call_id": msg.tool_call_id, + "created_at": msg.created_at.isoformat() + } + for msg in messages + ] + + def get_message_count(self, session_id: str) -> int: + """获取消息数量""" + return self.db.query(Message)\ + .filter(Message.session_id == session_id)\ + .count() +``` + +#### `agent_service.py` +```python +from mini_agent.agent import Agent +from mini_agent.llm import LLMClient +from mini_agent.schema import LLMProvider, Message as AgentMessage +from app.services.history_service import HistoryService +from app.core.agent_wrapper import create_safe_agent +from typing import List, Dict +from pathlib import Path + +class AgentService: + """Agent 服务""" + + def __init__( + self, + workspace_dir: Path, + history_service: HistoryService, + session_id: str + ): + self.workspace_dir = workspace_dir + self.history_service = history_service + self.session_id = session_id + self.agent = None + self._last_saved_index = 0 + + def initialize_agent(self, system_prompt: str, tools: List): + """初始化 Agent""" + self.agent = create_safe_agent( + workspace_dir=str(self.workspace_dir), + system_prompt=system_prompt, + tools=tools + ) + + # 从数据库恢复历史 + self._restore_history() + + def _restore_history(self): + """从数据库恢复对话历史""" + history = self.history_service.load_session_history(self.session_id) + + # 跳过 system message（index 0） + for msg_data in history: + if msg_data["role"] == "user": + self.agent.messages.append( + AgentMessage(role="user", content=msg_data["content"]) + ) + elif msg_data["role"] == "assistant": + self.agent.messages.append( + AgentMessage( + role="assistant", + content=msg_data["content"], + thinking=msg_data.get("thinking"), + tool_calls=msg_data.get("tool_calls") + ) + ) + elif msg_data["role"] == "tool": + self.agent.messages.append( + AgentMessage( + role="tool", + content=msg_data["content"], + tool_call_id=msg_data.get("tool_call_id") + ) + ) + + self._last_saved_index = len(self.agent.messages) + + async def chat(self, user_message: str) -> Dict: + """执行对话""" + # 保存用户消息 + self.history_service.save_message( + session_id=self.session_id, + role="user", + content=user_message + ) + + # 添加到 agent + self.agent.add_user_message(user_message) + + # 执行 agent + response = await self.agent.run() + + # 保存 agent 生成的消息 + self._save_new_messages() + + return { + "response": response, + "message_count": len(self.agent.messages) + } + + def _save_new_messages(self): + """保存新增的消息到数据库""" + for msg in self.agent.messages[self._last_saved_index:]: + if msg.role == "assistant": + self.history_service.save_message( + session_id=self.session_id, + role="assistant", + content=msg.content, + thinking=msg.thinking, + tool_calls=[tc.dict() for tc in msg.tool_calls] if msg.tool_calls else None + ) + elif msg.role == "tool": + self.history_service.save_message( + session_id=self.session_id, + role="tool", + content=msg.content, + tool_call_id=msg.tool_call_id + ) + + self._last_saved_index = len(self.agent.messages) +``` + +--- + +## API 接口 + +### 路由结构 + +```python +# app/main.py +from fastapi import FastAPI +from fastapi.middleware.cors import CORSMiddleware +from app.config import get_settings +from app.api import auth, sessions, chat, files, admin + +settings = get_settings() + +app = FastAPI( + title=settings.app_name, + version=settings.app_version, + docs_url="/api/docs", + redoc_url="/api/redoc" +) + +# CORS +app.add_middleware( + CORSMiddleware, + allow_origins=settings.cors_origins, + allow_credentials=True, + allow_methods=["*"], + allow_headers=["*"], +) + +# 路由 +app.include_router(auth.router, prefix=f"{settings.api_prefix}/auth", tags=["认证"]) +app.include_router(sessions.router, prefix=f"{settings.api_prefix}/sessions", tags=["会话"]) +app.include_router(chat.router, prefix=f"{settings.api_prefix}/chat", tags=["对话"]) +app.include_router(files.router, prefix=f"{settings.api_prefix}/files", tags=["文件"]) +app.include_router(admin.router, prefix=f"{settings.api_prefix}/admin", tags=["管理"]) + +@app.get("/") +async def root(): + return {"message": "Mini-Agent API", "version": settings.app_version} + +@app.get("/health") +async def health(): + return {"status": "healthy"} +``` + +### 核心接口 + +#### 1. 会话管理 (`app/api/sessions.py`) + +```python +from fastapi import APIRouter, Depends, HTTPException +from sqlalchemy.orm import Session as DBSession +from app.models.database import get_db +from app.models.session import Session +from app.models.user import User +from app.schemas.session import SessionCreate, SessionResponse, SessionList +from app.services.workspace_service import WorkspaceService +from app.core.security import get_current_user +from datetime import datetime +import uuid + +router = APIRouter() + +@router.post("", response_model=SessionResponse) +async def create_session( + request: SessionCreate, + current_user: User = Depends(get_current_user), + db: DBSession = Depends(get_db) +): + """创建新会话""" + # 检查配额 + active_sessions = db.query(Session).filter( + Session.user_id == current_user.id, + Session.status == "active" + ).count() + + if active_sessions >= current_user.quota_max_sessions: + raise HTTPException( + status_code=429, + detail=f"已达到最大会话数限制 ({current_user.quota_max_sessions})" + ) + + # 创建会话 + session_id = str(uuid.uuid4()) + session = Session( + id=session_id, + user_id=current_user.id, + title=request.title + ) + db.add(session) + db.commit() + db.refresh(session) + + # 创建工作空间 + workspace_service = WorkspaceService() + workspace_service.create_session_workspace(current_user.id, session_id) + + return session + +@router.get("", response_model=SessionList) +async def list_sessions( + limit: int = 20, + offset: int = 0, + current_user: User = Depends(get_current_user), + db: DBSession = Depends(get_db) +): + """获取用户的会话列表""" + sessions = db.query(Session)\ + .filter(Session.user_id == current_user.id)\ + .order_by(Session.created_at.desc())\ + .limit(limit)\ + .offset(offset)\ + .all() + + total = db.query(Session)\ + .filter(Session.user_id == current_user.id)\ + .count() + + return SessionList(sessions=sessions, total=total) + +@router.get("/{session_id}", response_model=SessionResponse) +async def get_session( + session_id: str, + current_user: User = Depends(get_current_user), + db: DBSession = Depends(get_db) +): + """获取会话详情""" + session = db.query(Session).filter( + Session.id == session_id, + Session.user_id == current_user.id + ).first() + + if not session: + raise HTTPException(status_code=404, detail="会话不存在") + + return session + +@router.delete("/{session_id}") +async def close_session( + session_id: str, + preserve_files: bool = True, + current_user: User = Depends(get_current_user), + db: DBSession = Depends(get_db) +): + """关闭会话""" + session = db.query(Session).filter( + Session.id == session_id, + Session.user_id == current_user.id + ).first() + + if not session: + raise HTTPException(status_code=404, detail="会话不存在") + + # 清理工作空间 + workspace_service = WorkspaceService() + preserved = workspace_service.cleanup_session( + current_user.id, + session_id, + preserve_files=preserve_files + ) + + # 更新数据库 + session.status = "closed" + session.closed_at = datetime.utcnow() + db.commit() + + return { + "status": "closed", + "preserved_files": preserved + } +``` + +#### 2. 对话接口 (`app/api/chat.py`) + +```python +from fastapi import APIRouter, Depends, HTTPException +from sqlalchemy.orm import Session as DBSession +from app.models.database import get_db +from app.models.session import Session +from app.models.user import User +from app.schemas.chat import ChatRequest, ChatResponse +from app.services.agent_service import AgentService +from app.services.history_service import HistoryService +from app.services.workspace_service import WorkspaceService +from app.core.security import get_current_user +from app.core.agent_wrapper import load_tools, load_system_prompt +from datetime import datetime + +router = APIRouter() + +# 内存中的 Agent 实例缓存 +_agent_cache = {} + +@router.post("/{session_id}", response_model=ChatResponse) +async def chat( + session_id: str, + request: ChatRequest, + current_user: User = Depends(get_current_user), + db: DBSession = Depends(get_db) +): + """发送消息并获取响应""" + # 验证会话 + session = db.query(Session).filter( + Session.id == session_id, + Session.user_id == current_user.id + ).first() + + if not session: + raise HTTPException(status_code=404, detail="会话不存在") + + if session.status != "active": + raise HTTPException(status_code=410, detail="会话已关闭") + + # 检查会话是否过期 + if (datetime.utcnow() - session.created_at).total_seconds() > \ + current_user.quota_max_session_duration_hours * 3600: + session.status = "expired" + db.commit() + raise HTTPException(status_code=410, detail="会话已过期") + + # 获取或创建 Agent Service + if session_id not in _agent_cache: + workspace_service = WorkspaceService() + workspace_dir = workspace_service._get_session_dir(current_user.id, session_id) + + history_service = HistoryService(db) + agent_service = AgentService(workspace_dir, history_service, session_id) + + # 初始化 Agent + system_prompt = load_system_prompt() + tools = load_tools(workspace_dir) + agent_service.initialize_agent(system_prompt, tools) + + _agent_cache[session_id] = agent_service + else: + agent_service = _agent_cache[session_id] + + # 执行对话 + result = await agent_service.chat(request.message) + + # 更新会话活跃时间 + session.last_active = datetime.utcnow() + db.commit() + + # 获取生成的文件 + workspace_service = WorkspaceService() + files = workspace_service.get_session_files(current_user.id, session_id) + + return ChatResponse( + session_id=session_id, + message=result["response"], + files=[f.name for f in files], + turn=session.turn_count, + message_count=result["message_count"] + ) +``` + +#### 3. 文件管理 (`app/api/files.py`) + +```python +from fastapi import APIRouter, Depends, HTTPException +from fastapi.responses import FileResponse +from sqlalchemy.orm import Session as DBSession +from app.models.database import get_db +from app.models.session import Session +from app.models.user import User +from app.services.workspace_service import WorkspaceService +from app.core.security import get_current_user +from typing import List + +router = APIRouter() + +@router.get("/{session_id}") +async def list_files( + session_id: str, + current_user: User = Depends(get_current_user), + db: DBSession = Depends(get_db) +): + """列出会话的所有文件""" + # 验证会话归属 + session = db.query(Session).filter( + Session.id == session_id, + Session.user_id == current_user.id + ).first() + + if not session: + raise HTTPException(status_code=404, detail="会话不存在") + + workspace_service = WorkspaceService() + files = workspace_service.get_session_files(current_user.id, session_id) + + return { + "files": [ + { + "name": f.name, + "size": f.stat().st_size, + "modified": f.stat().st_mtime + } + for f in files + ] + } + +@router.get("/{session_id}/{filename}") +async def download_file( + session_id: str, + filename: str, + current_user: User = Depends(get_current_user), + db: DBSession = Depends(get_db) +): + """下载文件""" + session = db.query(Session).filter( + Session.id == session_id, + Session.user_id == current_user.id + ).first() + + if not session: + raise HTTPException(status_code=404, detail="会话不存在") + + workspace_service = WorkspaceService() + file_path = workspace_service._get_session_dir(current_user.id, session_id) / "files" / filename + + if not file_path.exists(): + raise HTTPException(status_code=404, detail="文件不存在") + + return FileResponse( + path=file_path, + filename=filename, + media_type="application/octet-stream" + ) +``` + +--- + +## 安全机制 + +### 1. 包白名单 (`data/shared_env/allowed_packages.txt`) + +``` +# 数据处理 +pandas>=2.0.0,<3.0.0 +numpy>=1.24.0,<2.0.0 + +# 文档生成 +reportlab>=4.0.0,<5.0.0 +python-pptx>=0.6.0,<1.0.0 +python-docx>=1.0.0,<2.0.0 +openpyxl>=3.1.0,<4.0.0 + +# 可视化 +matplotlib>=3.7.0,<4.0.0 +pillow>=10.0.0,<11.0.0 + +# 网络请求 +requests>=2.31.0,<3.0.0 +httpx>=0.25.0,<1.0.0 + +# 工具 +pyyaml>=6.0,<7.0 +jinja2>=3.1.0,<4.0.0 + +# 禁止的包（不在白名单） +# - os-sys +# - subprocess32 +# - eval, exec 相关 +``` + +### 2. 安全的 Agent 包装器 (`app/core/agent_wrapper.py`) + +```python +from mini_agent.agent import Agent +from mini_agent.llm import LLMClient +from mini_agent.schema import LLMProvider +from mini_agent.tools.base import Tool +from mini_agent.tools.file_tools import ReadTool, WriteTool, EditTool +from mini_agent.tools.bash_tool import BashTool +from app.core.security import SafeBashTool +from app.config import get_settings +from pathlib import Path +from typing import List + +settings = get_settings() + +def create_safe_agent( + workspace_dir: str, + system_prompt: str, + tools: List[Tool] = None +) -> Agent: + """创建安全的 Agent 实例""" + # 创建 LLM 客户端 + llm_client = LLMClient( + api_key=settings.minimax_api_key, + api_base=settings.minimax_api_base, + provider=LLMProvider.ANTHROPIC, + model=settings.minimax_model + ) + + # 加载工具（如果未提供） + if tools is None: + tools = load_tools(Path(workspace_dir)) + + # 创建 Agent + agent = Agent( + llm_client=llm_client, + system_prompt=system_prompt, + tools=tools, + max_steps=settings.agent_max_steps, + workspace_dir=workspace_dir, + token_limit=settings.agent_token_limit + ) + + return agent + +def load_tools(workspace_dir: Path) -> List[Tool]: + """加载受限的工具列表""" + # 读取包白名单 + allowed_packages = [] + if settings.allowed_packages_file.exists(): + allowed_packages = settings.allowed_packages_file.read_text().strip().split('\n') + allowed_packages = [p.split('>=')[0].split('==')[0] for p in allowed_packages if p and not p.startswith('#')] + + tools = [ + # 文件工具（限制在 workspace 内） + ReadTool(workspace_dir=str(workspace_dir)), + WriteTool(workspace_dir=str(workspace_dir)), + EditTool(workspace_dir=str(workspace_dir)), + + # 安全的 Bash 工具 + SafeBashTool( + workspace_dir=str(workspace_dir), + allowed_packages=allowed_packages + ), + ] + + # TODO: 加载 Skills + # TODO: 加载 MCP tools + + return tools + +def load_system_prompt() -> str: + """加载 system prompt""" + # 读取基础 prompt + prompt_file = Path("mini_agent/config/system_prompt.md") + if prompt_file.exists(): + return prompt_file.read_text(encoding="utf-8") + + return "You are Mini-Agent, an AI assistant." +``` + +### 3. 安全的 Bash Tool (`app/core/security.py`) + +```python +from mini_agent.tools.bash_tool import BashTool +from mini_agent.tools.base import ToolResult +import subprocess +from typing import List + +# 命令黑名单 +FORBIDDEN_COMMANDS = { + 'rm', 'rmdir', 'dd', 'mkfs', # 删除/格式化 + 'curl', 'wget', 'nc', 'telnet', # 网络 + 'sudo', 'su', 'chmod', 'chown', # 权限 + 'kill', 'killall', 'pkill', # 进程 + 'shutdown', 'reboot', # 系统 +} + +# 命令白名单 +ALLOWED_COMMANDS = { + 'python', 'python3', 'uv', 'pip', + 'ls', 'cat', 'echo', 'cd', 'pwd', + 'mkdir', 'touch', 'cp', 'mv', + 'grep', 'find', 'head', 'tail', +} + +class SafeBashTool(BashTool): + """安全的 Bash 工具""" + + def __init__(self, workspace_dir: str, allowed_packages: List[str]): + super().__init__(workspace_dir) + self.allowed_packages = allowed_packages + + async def execute(self, command: str, **kwargs) -> ToolResult: + """执行命令（带安全检查）""" + # 解析命令 + cmd_parts = command.split() + if not cmd_parts: + return ToolResult(success=False, error="空命令") + + base_cmd = cmd_parts[0] + + # 黑名单检查 + if base_cmd in FORBIDDEN_COMMANDS: + return ToolResult( + success=False, + error=f"命令 '{base_cmd}' 不允许执行（安全限制）" + ) + + # 白名单检查 + if base_cmd not in ALLOWED_COMMANDS: + return ToolResult( + success=False, + error=f"命令 '{base_cmd}' 不在允许列表中" + ) + + # pip install 检查 + if 'pip install' in command or 'uv pip install' in command: + packages = self._extract_packages(command) + for pkg in packages: + if pkg not in self.allowed_packages: + return ToolResult( + success=False, + error=f"包 '{pkg}' 不在白名单中。允许的包：{', '.join(self.allowed_packages[:10])}..." + ) + + # 执行命令（带超时） + try: + result = subprocess.run( + command, + shell=True, + cwd=self.workspace_dir, + capture_output=True, + text=True, + timeout=60, # 60秒超时 + env={ + 'HOME': self.workspace_dir, + 'PATH': '/usr/local/bin:/usr/bin:/bin', + } + ) + + return ToolResult( + success=result.returncode == 0, + content=result.stdout, + error=result.stderr if result.returncode != 0 else None + ) + + except subprocess.TimeoutExpired: + return ToolResult( + success=False, + error="命令执行超时（60秒）" + ) + except Exception as e: + return ToolResult( + success=False, + error=f"执行失败: {str(e)}" + ) + + def _extract_packages(self, command: str) -> List[str]: + """从 pip install 命令提取包名""" + parts = command.split() + if 'install' not in parts: + return [] + + idx = parts.index('install') + packages = [] + for p in parts[idx + 1:]: + if p.startswith('-'): + break + # 去除版本号 + pkg = p.split('==')[0].split('>=')[0].split('<=')[0] + packages.append(pkg) + + return packages +``` + +--- + +## 部署配置 + +### 环境变量 (`.env`) + +```bash +# 应用配置 +APP_NAME="Mini-Agent Backend" +DEBUG=false + +# JWT +SECRET_KEY="your-secret-key-change-in-production" +ALGORITHM="HS256" +ACCESS_TOKEN_EXPIRE_MINUTES=1440 + +# MiniMax API +MINIMAX_API_KEY="your-minimax-api-key" +MINIMAX_API_BASE="https://api.minimax.chat" +MINIMAX_MODEL="MiniMax-Text-01" + +# 数据库 +DATABASE_URL="sqlite:///./data/database/mini_agent.db" + +# CORS +CORS_ORIGINS=["http://localhost:3000","https://yourdomain.com"] + +# 工作空间 +WORKSPACE_BASE="./data/workspaces" +SHARED_ENV_PATH="./data/shared_env/base.venv" + +# 配额 +DEFAULT_MAX_SESSIONS=10 +DEFAULT_MAX_STORAGE_MB=1024 +DEFAULT_MAX_SESSION_DURATION_HOURS=24 +``` + +### 初始化脚本 (`scripts/init_db.py`) + +```python +"""初始化数据库""" +from app.models.database import Base, engine +from app.models.user import User +from app.models.session import Session +from app.models.message import Message + +def init_db(): + """创建所有表""" + print("创建数据库表...") + Base.metadata.create_all(bind=engine) + print("✅ 数据库初始化完成") + +if __name__ == "__main__": + init_db() +``` + +### 设置共享环境 (`scripts/setup_shared_env.py`) + +```python +"""设置共享 Python 环境""" +import subprocess +from pathlib import Path + +def setup_shared_env(): + """创建并配置共享环境""" + env_path = Path("./data/shared_env/base.venv") + + print("创建虚拟环境...") + subprocess.run(["uv", "venv", str(env_path)], check=True) + + print("安装预设包...") + packages = [ + "pandas>=2.0.0", + "numpy>=1.24.0", + "reportlab>=4.0.0", + "python-pptx>=0.6.0", + "openpyxl>=3.1.0", + "matplotlib>=3.7.0", + ] + + for pkg in packages: + print(f" 安装 {pkg}...") + subprocess.run( + [str(env_path / "bin" / "pip"), "install", pkg], + check=True + ) + + print("✅ 共享环境设置完成") + +if __name__ == "__main__": + setup_shared_env() +``` + +### 启动命令 + +```bash +# 开发模式 +uvicorn app.main:app --reload --host 0.0.0.0 --port 8000 + +# 生产模式 +gunicorn app.main:app -w 4 -k uvicorn.workers.UvicornWorker --bind 0.0.0.0:8000 +``` + +--- + +## 总结 + +### ✅ 核心特性 + +1. **多轮对话** - 支持连续对话和上下文记忆 +2. **用户隔离** - 每个用户独立的工作空间和配额 +3. **会话管理** - 手动创建/关闭，自动过期检测 +4. **对话持久化** - SQLite 存储完整历史 +5. **文件管理** - 自动保留重要文件到共享目录 +6. **安全控制** - 命令白名单 + 包白名单 +7. **配额管理** - 会话数、存储、时长限制 + +### 📊 技术指标 + +- **数据库**: SQLite (可升级 PostgreSQL) +- **并发**: 支持异步处理 +- **性能**: Agent 实例缓存 +- **安全**: 多层防护（命令/包/路径） +- **扩展性**: 模块化设计，易于扩展 + +### 🚀 下一步 + +1. 实现认证系统（JWT） +2. 添加 WebSocket 支持（实时对话） +3. 完善配额管理和监控 +4. 添加文件预览功能 +5. 实现对话导出（PDF/Markdown） From 7b2c1b62aa8a3be856deced7eee9234acfde84ee Mon Sep 17 00:00:00 2001 From: Claude Date: Mon, 17 Nov 2025 09:59:48 +0000 Subject: [PATCH 13/29] =?UTF-8?q?feat(backend):=20=E5=AE=9E=E7=8E=B0?= =?UTF-8?q?=E5=AE=8C=E6=95=B4=E7=9A=84=20FastAPI=20=E5=90=8E=E7=AB=AF?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit 实现基于架构设计的 FastAPI 后端服务： ## 核心功能 - 简单认证系统（用户名/密码登录） - 会话管理（创建、列表、详情、关闭） - 多轮对话接口（支持上下文记忆） - 对话历史持久化（SQLite） - 工作空间管理（用户隔离） - 文件自动保留（.pdf/.xlsx/.pptx/.docx等） ## API 接口 - POST /api/auth/login - 登录 - POST /api/sessions - 创建会话 - GET /api/sessions - 会话列表 - DELETE /api/sessions/{id} - 关闭会话 - POST /api/chat/{session_id} - 发送消息 - GET /api/chat/{session_id}/history - 对话历史 ## 技术栈 - FastAPI + SQLAlchemy + SQLite - Pydantic 数据验证 - 分层架构（API/Service/Model） - 集成 Mini-Agent 核心 ## 包白名单 基于 Claude Skills 需求分析： - 文档处理: pypdf, reportlab, python-pptx, python-docx, openpyxl - 数据处理: pandas, numpy - 图像处理: Pillow - 可视化: matplotlib, seaborn - 工具库: requests, httpx, pyyaml, jinja2 ## 文件结构 - app/ - 应用代码 - api/ - API 路由 - models/ - 数据模型 - schemas/ - Pydantic 模式 - services/ - 业务逻辑 - data/shared_env/ - 包白名单 - requirements.txt - Python 依赖 - README.md - 使用文档 - test_api.py - API 测试脚本 --- backend/.env.example | 37 ++ backend/IMPLEMENTATION_SUMMARY.md | 349 +++++++++++++++++++ backend/README.md | 208 +++++++++++ backend/app/__init__.py | 2 + backend/app/api/__init__.py | 1 + backend/app/api/auth.py | 47 +++ backend/app/api/chat.py | 110 ++++++ backend/app/api/sessions.py | 106 ++++++ backend/app/config.py | 73 ++++ backend/app/main.py | 65 ++++ backend/app/models/__init__.py | 6 + backend/app/models/database.py | 39 +++ backend/app/models/message.py | 24 ++ backend/app/models/session.py | 22 ++ backend/app/schemas/__init__.py | 1 + backend/app/schemas/auth.py | 17 + backend/app/schemas/chat.py | 37 ++ backend/app/schemas/session.py | 33 ++ backend/app/services/__init__.py | 1 + backend/app/services/agent_service.py | 178 ++++++++++ backend/app/services/history_service.py | 72 ++++ backend/app/services/workspace_service.py | 85 +++++ backend/data/shared_env/allowed_packages.txt | 49 +++ backend/requirements.txt | 22 ++ backend/test_api.py | 103 ++++++ 25 files changed, 1687 insertions(+) create mode 100644 backend/.env.example create mode 100644 backend/IMPLEMENTATION_SUMMARY.md create mode 100644 backend/README.md create mode 100644 backend/app/__init__.py create mode 100644 backend/app/api/__init__.py create mode 100644 backend/app/api/auth.py create mode 100644 backend/app/api/chat.py create mode 100644 backend/app/api/sessions.py create mode 100644 backend/app/config.py create mode 100644 backend/app/main.py create mode 100644 backend/app/models/__init__.py create mode 100644 backend/app/models/database.py create mode 100644 backend/app/models/message.py create mode 100644 backend/app/models/session.py create mode 100644 backend/app/schemas/__init__.py create mode 100644 backend/app/schemas/auth.py create mode 100644 backend/app/schemas/chat.py create mode 100644 backend/app/schemas/session.py create mode 100644 backend/app/services/__init__.py create mode 100644 backend/app/services/agent_service.py create mode 100644 backend/app/services/history_service.py create mode 100644 backend/app/services/workspace_service.py create mode 100644 backend/data/shared_env/allowed_packages.txt create mode 100644 backend/requirements.txt create mode 100644 backend/test_api.py diff --git a/backend/.env.example b/backend/.env.example new file mode 100644 index 0000000..5c5e418 --- /dev/null +++ b/backend/.env.example @@ -0,0 +1,37 @@ +# Mini-Agent 后端环境变量配置 + +# 应用配置 +APP_NAME="Mini-Agent Backend" +DEBUG=true + +# 简单认证（临时方案） +# 格式：username:password,username2:password2 +SIMPLE_AUTH_USERS="demo:demo123,test:test123" + +# MiniMax API +MINIMAX_API_KEY="your-minimax-api-key-here" +MINIMAX_API_BASE="https://api.minimax.chat" +MINIMAX_MODEL="MiniMax-Text-01" + +# 数据库 +DATABASE_URL="sqlite:///./data/database/mini_agent.db" + +# CORS +CORS_ORIGINS=["http://localhost:3000","http://localhost:5173"] + +# 工作空间 +WORKSPACE_BASE="./data/workspaces" +SHARED_ENV_PATH="./data/shared_env/base.venv" +ALLOWED_PACKAGES_FILE="./data/shared_env/allowed_packages.txt" + +# Agent 配置 +AGENT_MAX_STEPS=100 +AGENT_TOKEN_LIMIT=80000 + +# 会话配置 +SESSION_INACTIVE_TIMEOUT_HOURS=1 +SESSION_MAX_DURATION_HOURS=24 +SESSION_MAX_TURNS=50 + +# 文件保留配置 +PRESERVE_FILE_EXTENSIONS=[".pdf",".xlsx",".pptx",".docx",".png",".jpg"] diff --git a/backend/IMPLEMENTATION_SUMMARY.md b/backend/IMPLEMENTATION_SUMMARY.md new file mode 100644 index 0000000..6c7e898 --- /dev/null +++ b/backend/IMPLEMENTATION_SUMMARY.md @@ -0,0 +1,349 @@ +# FastAPI 后端实现总结 + +## ✅ 已完成功能 + +### 1. 核心架构 + +``` +backend/ +├── app/ +│ ├── main.py # ✅ FastAPI 应用入口 +│ ├── config.py # ✅ 配置管理 +│ ├── api/ # ✅ API 路由层 +│ │ ├── auth.py # - 简单登录 +│ │ ├── sessions.py # - 会话CRUD +│ │ └── chat.py # - 对话+历史 +│ ├── models/ # ✅ 数据模型 +│ │ ├── database.py # - SQLite配置 +│ │ ├── session.py # - 会话表 +│ │ └── message.py # - 消息表 +│ ├── schemas/ # ✅ Pydantic模式 +│ │ ├── auth.py +│ │ ├── session.py +│ │ └── chat.py +│ └── services/ # ✅ 业务逻辑层 +│ ├── workspace_service.py # - 工作空间管理 +│ ├── history_service.py # - 对话历史 +│ └── agent_service.py # - Agent集成 +└── data/ + ├── shared_env/ + │ └── allowed_packages.txt # ✅ 包白名单 + ├── database/ # ✅ SQLite数据库 + └── workspaces/ # ✅ 用户工作空间 +``` + +### 2. API 接口 + +#### 认证 API +- ✅ `POST /api/auth/login` - 简单登录（用户名/密码） +- ✅ `GET /api/auth/me` - 获取当前用户信息 + +#### 会话管理 API +- ✅ `POST /api/sessions` - 创建会话 +- ✅ `GET /api/sessions` - 获取会话列表 +- ✅ `GET /api/sessions/{id}` - 获取会话详情 +- ✅ `DELETE /api/sessions/{id}` - 关闭会话（可选保留文件） + +#### 对话 API +- ✅ `POST /api/chat/{session_id}` - 发送消息 +- ✅ `GET /api/chat/{session_id}/history` - 获取对话历史 + +### 3. 核心特性 + +- ✅ **简单认证** - 基于用户名/密码（配置在 .env） +- ✅ **会话管理** - 多轮对话，手动创建/关闭 +- ✅ **对话持久化** - SQLite 存储完整历史 +- ✅ **工作空间隔离** - 每个用户独立目录 +- ✅ **文件自动保留** - .pdf/.xlsx/.pptx/.docx 等 +- ✅ **Agent 集成** - 连接 Mini-Agent 核心 +- ✅ **包白名单** - 基于 Skills 需求的安全包列表 + +### 4. 安全机制 + +- ✅ **包白名单**：`data/shared_env/allowed_packages.txt` + - 包含 20+ 个基于 Skills 需求的包 + - pypdf, reportlab, python-pptx, openpyxl, pandas, Pillow 等 + +- ✅ **工作空间隔离**：每个用户独立目录 + ``` + workspaces/ + ├── user_demo/ + │ ├── shared_files/ # 持久化文件 + │ └── sessions/ # 会话临时文件 + └── user_test/ + └── ... + ``` + +- ✅ **会话超时**：可配置的超时和最大时长 + - SESSION_INACTIVE_TIMEOUT_HOURS=1 + - SESSION_MAX_DURATION_HOURS=24 + +## 📦 包白名单详情 + +基于你的 Skills 分析，已包含： + +### 文档处理 (Document Skills) +- pypdf, pdfplumber, reportlab (PDF) +- python-pptx (PowerPoint) +- python-docx (Word) +- openpyxl, xlrd, xlsxwriter (Excel) + +### 数据处理 +- pandas, numpy + +### 图像处理 (Canvas Design, GIF Creator) +- Pillow + +### 可视化 +- matplotlib, seaborn + +### 工具库 +- requests, httpx, pyyaml, jinja2, scipy + +## 🚀 快速启动 + +### 1. 安装依赖 + +```bash +cd backend +pip install -r requirements.txt +``` + +### 2. 配置环境变量 + +```bash +cp .env.example .env +# 编辑 .env，填入 MINIMAX_API_KEY +``` + +### 3. 启动服务 + +```bash +# 方式1：使用 uvicorn +uvicorn app.main:app --reload --host 0.0.0.0 --port 8000 + +# 方式2：直接运行 +python -m app.main +``` + +### 4. 测试 API + +```bash +# 运行测试脚本 +python test_api.py + +# 或访问 API 文档 +open http://localhost:8000/api/docs +``` + +## 📝 使用示例 + +### 完整流程 + +```bash +# 1. 登录 +curl -X POST http://localhost:8000/api/auth/login \ + -H "Content-Type: application/json" \ + -d '{"username":"demo","password":"demo123"}' +# 返回: {"user_id": "demo", ...} + +# 2. 创建会话 +curl -X POST "http://localhost:8000/api/sessions?user_id=demo" \ + -H "Content-Type: application/json" \ + -d '{"title":"我的会话"}' +# 返回: {"id": "uuid-xxx", ...} + +# 3. 发送消息 +curl -X POST "http://localhost:8000/api/chat/uuid-xxx?user_id=demo" \ + -H "Content-Type: application/json" \ + -d '{"message":"帮我生成一个PDF"}' +# 返回: {"message": "已生成PDF...", "files": ["report.pdf"], ...} + +# 4. 获取历史 +curl "http://localhost:8000/api/chat/uuid-xxx/history?user_id=demo" +# 返回: {"messages": [...], "total": 5} + +# 5. 关闭会话 +curl -X DELETE "http://localhost:8000/api/sessions/uuid-xxx?user_id=demo" +# 返回: {"status": "closed", "preserved_files": ["outputs/20251117_100000_report.pdf"]} +``` + +## 🎯 工作流程 + +``` +用户登录 + ↓ +创建会话 → 生成 workspace/user_xxx/sessions/session_xxx/ + ↓ +发送消息 → Agent 执行 → 生成文件到 files/ + ↓ +继续对话 → Agent 有上下文记忆 + ↓ +关闭会话 → 保留 .pdf/.xlsx等 到 shared_files/outputs/ + ↓ +删除临时文件 +``` + +## ⚙️ 配置说明 + +### 默认用户 + +编辑 `.env` 中的 `SIMPLE_AUTH_USERS`： +```env +SIMPLE_AUTH_USERS="demo:demo123,test:test123,alice:alice456" +``` + +格式：`username:password,username2:password2` + +### 会话超时 + +```env +SESSION_INACTIVE_TIMEOUT_HOURS=1 # 1小时无活动关闭 +SESSION_MAX_DURATION_HOURS=24 # 24小时最大生命周期 +SESSION_MAX_TURNS=50 # 50轮对话限制 +``` + +### 文件保留 + +```env +PRESERVE_FILE_EXTENSIONS=[".pdf",".xlsx",".pptx",".docx",".png"] +``` + +会话关闭时，只保留这些格式的文件到 `shared_files/outputs/` + +## 🔧 开发建议 + +### 添加新的工具 + +编辑 `app/services/agent_service.py` 的 `_create_tools()` 方法： + +```python +def _create_tools(self) -> List: + tools = [ + # 现有工具... + + # 添加新工具 + YourNewTool(workspace_dir=str(self.workspace_dir)), + ] + return tools +``` + +### 添加 Skills 支持 + +在 `agent_service.py` 中添加： + +```python +from mini_agent.tools.skill_tool import create_skill_tools + +# 在 _create_tools() 中 +skill_tools, skill_loader = create_skill_tools(skills_dir) +tools.extend(skill_tools) +``` + +### 添加 MCP Tools + +在 `agent_service.py` 中添加： + +```python +from mini_agent.tools.mcp_loader import load_mcp_tools_async + +# 在 initialize_agent() 中 +mcp_tools = await load_mcp_tools_async(mcp_config_path) +tools.extend(mcp_tools) +``` + +## ⚠️ 注意事项 + +### 1. 生产环境部署 + +- ❌ **不要**使用 `SIMPLE_AUTH_USERS`（不安全） +- ✅ **应该**实现 JWT 认证和用户数据库 +- ✅ **应该**升级到 PostgreSQL +- ✅ **应该**添加速率限制 +- ✅ **应该**添加日志和监控 + +### 2. 数据库 + +当前使用 SQLite，适合开发和小规模使用。 + +生产环境建议： +```env +DATABASE_URL="postgresql://user:pass@localhost/mini_agent" +``` + +### 3. Mini-Agent 路径 + +`agent_service.py` 中硬编码了 `mini_agent` 的路径： +```python +mini_agent_path = Path(__file__).parent.parent.parent.parent / "mini_agent" +``` + +如果目录结构不同，需要调整此路径。 + +## 📊 数据库结构 + +### sessions 表 +- id (主键) +- user_id (用户名) +- created_at, last_active, closed_at +- status (active/closed/expired) +- title +- message_count, turn_count + +### messages 表 +- id (自增主键) +- session_id (外键) +- role (system/user/assistant/tool) +- content, thinking, tool_calls +- created_at + +## 🐛 故障排除 + +### 找不到 mini_agent 模块 + +确保目录结构： +``` +/ +├── backend/ +│ └── app/ +└── mini_agent/ +``` + +或修改 `agent_service.py` 中的路径。 + +### SQLite 权限错误 + +```bash +mkdir -p backend/data/database +chmod 755 backend/data/database +``` + +### CORS 错误 + +检查 `.env` 中的 `CORS_ORIGINS` 包含前端地址。 + +## 🎉 下一步 + +1. **前端集成** + - 创建 React/Vue 前端 + - 使用 WebSocket 实现实时对话 + +2. **完善认证** + - 实现 JWT 认证 + - 添加用户注册 + - 实现权限管理 + +3. **添加功能** + - 文件上传/下载 API + - 会话分享功能 + - 对话导出（PDF/Markdown） + +4. **性能优化** + - 添加 Redis 缓存 + - 使用 Celery 异步任务 + - 添加 CDN 服务文件 + +5. **安全增强** + - 实现 SafeBashTool + - 添加速率限制 + - 实现审计日志 diff --git a/backend/README.md b/backend/README.md new file mode 100644 index 0000000..91fc211 --- /dev/null +++ b/backend/README.md @@ -0,0 +1,208 @@ +# Mini-Agent FastAPI 后端 + +基于讨论的架构设计实现的 FastAPI 后端服务。 + +## 特性 + +- ✅ 简单认证（用户名/密码） +- ✅ 会话管理（创建、列表、详情、关闭） +- ✅ 多轮对话（支持上下文记忆） +- ✅ 对话历史持久化（SQLite） +- ✅ 文件管理（自动保留特定格式） +- ✅ 工作空间隔离 +- ✅ 包白名单控制 + +## 快速开始 + +### 1. 安装依赖 + +```bash +cd backend +pip install -r requirements.txt +``` + +### 2. 配置环境变量 + +```bash +cp .env.example .env +# 编辑 .env 文件，填入你的 MiniMax API Key +``` + +### 3. 启动服务 + +```bash +# 开发模式 +uvicorn app.main:app --reload --host 0.0.0.0 --port 8000 + +# 或者直接运行 +python -m app.main +``` + +### 4. 访问 API 文档 + +打开浏览器访问： +- Swagger UI: http://localhost:8000/api/docs +- ReDoc: http://localhost:8000/api/redoc + +## API 使用示例 + +### 1. 登录 + +```bash +curl -X POST "http://localhost:8000/api/auth/login" \ + -H "Content-Type: application/json" \ + -d '{ + "username": "demo", + "password": "demo123" + }' +``` + +返回： +```json +{ + "user_id": "demo", + "username": "demo", + "message": "登录成功" +} +``` + +### 2. 创建会话 + +```bash +curl -X POST "http://localhost:8000/api/sessions?user_id=demo" \ + -H "Content-Type: application/json" \ + -d '{ + "title": "我的第一个会话" + }' +``` + +返回： +```json +{ + "id": "uuid-here", + "user_id": "demo", + "created_at": "2025-11-17T10:00:00", + "status": "active", + ... +} +``` + +### 3. 发送消息 + +```bash +curl -X POST "http://localhost:8000/api/chat/{session_id}?user_id=demo" \ + -H "Content-Type: application/json" \ + -d '{ + "message": "帮我生成一个 PDF 文件，内容是 Hello World" + }' +``` + +### 4. 获取对话历史 + +```bash +curl "http://localhost:8000/api/chat/{session_id}/history?user_id=demo" +``` + +### 5. 关闭会话 + +```bash +curl -X DELETE "http://localhost:8000/api/sessions/{session_id}?user_id=demo&preserve_files=true" +``` + +## 项目结构 + +``` +backend/ +├── app/ +│ ├── main.py # 应用入口 +│ ├── config.py # 配置管理 +│ ├── api/ # API 路由 +│ │ ├── auth.py # 认证 +│ │ ├── sessions.py # 会话管理 +│ │ └── chat.py # 对话 +│ ├── models/ # 数据模型 +│ │ ├── database.py +│ │ ├── session.py +│ │ └── message.py +│ ├── schemas/ # Pydantic 模式 +│ │ ├── auth.py +│ │ ├── session.py +│ │ └── chat.py +│ └── services/ # 业务逻辑 +│ ├── workspace_service.py +│ ├── history_service.py +│ └── agent_service.py +├── data/ +│ ├── database/ # SQLite 数据库 +│ ├── shared_env/ # 共享 Python 环境 +│ └── workspaces/ # 用户工作空间 +├── requirements.txt +├── .env.example +└── README.md +``` + +## 配置说明 + +### 环境变量 + +| 变量名 | 说明 | 默认值 | +|--------|------|--------| +| `MINIMAX_API_KEY` | MiniMax API 密钥 | 必填 | +| `SIMPLE_AUTH_USERS` | 用户列表 | `demo:demo123` | +| `CORS_ORIGINS` | 允许的跨域来源 | `["http://localhost:3000"]` | +| `AGENT_MAX_STEPS` | Agent 最大执行步数 | `100` | +| `SESSION_INACTIVE_TIMEOUT_HOURS` | 会话超时时间 | `1` | + +### 包白名单 + +编辑 `data/shared_env/allowed_packages.txt` 添加允许安装的包。 + +## 开发指南 + +### 添加新的 API 接口 + +1. 在 `app/api/` 创建新的路由文件 +2. 在 `app/main.py` 中注册路由 +3. 如需数据库，在 `app/models/` 添加模型 +4. 业务逻辑放在 `app/services/` + +### 数据库迁移 + +```bash +# 生成迁移 +alembic revision --autogenerate -m "描述" + +# 执行迁移 +alembic upgrade head +``` + +## 部署 + +### 生产环境 + +```bash +# 使用 gunicorn +gunicorn app.main:app -w 4 -k uvicorn.workers.UvicornWorker --bind 0.0.0.0:8000 +``` + +### Docker 部署 + +（待实现） + +## 故障排除 + +### 1. 找不到 mini_agent 模块 + +确保 `mini_agent/` 目录在正确的位置，或者修改 `app/services/agent_service.py` 中的路径。 + +### 2. 数据库权限错误 + +确保 `data/database/` 目录存在且有写权限。 + +### 3. CORS 错误 + +检查 `.env` 中的 `CORS_ORIGINS` 配置是否包含前端地址。 + +## 许可证 + +MIT diff --git a/backend/app/__init__.py b/backend/app/__init__.py new file mode 100644 index 0000000..025bafd --- /dev/null +++ b/backend/app/__init__.py @@ -0,0 +1,2 @@ +"""Mini-Agent Backend""" +__version__ = "0.1.0" diff --git a/backend/app/api/__init__.py b/backend/app/api/__init__.py new file mode 100644 index 0000000..fb31fe2 --- /dev/null +++ b/backend/app/api/__init__.py @@ -0,0 +1 @@ +"""API 路由""" diff --git a/backend/app/api/auth.py b/backend/app/api/auth.py new file mode 100644 index 0000000..56ba362 --- /dev/null +++ b/backend/app/api/auth.py @@ -0,0 +1,47 @@ +"""简单认证 API""" +from fastapi import APIRouter, HTTPException +from app.schemas.auth import LoginRequest, LoginResponse +from app.config import get_settings + +router = APIRouter() +settings = get_settings() + + +@router.post("/login", response_model=LoginResponse) +async def login(request: LoginRequest): + """ + 简单登录接口 + + 返回用户信息（username 作为 user_id） + """ + # 获取配置的用户列表 + auth_users = settings.get_auth_users() + + # 验证用户名和密码 + if request.username not in auth_users: + raise HTTPException(status_code=401, detail="用户名或密码错误") + + if auth_users[request.username] != request.password: + raise HTTPException(status_code=401, detail="用户名或密码错误") + + # 登录成功，返回用户信息 + return LoginResponse( + user_id=request.username, # 简化：直接使用 username 作为 user_id + username=request.username, + message="登录成功", + ) + + +@router.get("/me") +async def get_current_user(user_id: str): + """ + 获取当前用户信息（简化版） + + 前端需要在查询参数中传递 user_id + """ + auth_users = settings.get_auth_users() + + if user_id not in auth_users: + raise HTTPException(status_code=404, detail="用户不存在") + + return {"user_id": user_id, "username": user_id} diff --git a/backend/app/api/chat.py b/backend/app/api/chat.py new file mode 100644 index 0000000..7757fd0 --- /dev/null +++ b/backend/app/api/chat.py @@ -0,0 +1,110 @@ +"""对话 API""" +from fastapi import APIRouter, Depends, HTTPException, Query +from sqlalchemy.orm import Session as DBSession +from app.models.database import get_db +from app.models.session import Session +from app.schemas.chat import ChatRequest, ChatResponse, HistoryResponse, MessageHistory +from app.services.agent_service import AgentService +from app.services.history_service import HistoryService +from app.services.workspace_service import WorkspaceService +from datetime import datetime + +router = APIRouter() + +# 内存中的 Agent 实例缓存 +_agent_cache: dict[str, AgentService] = {} + + +@router.post("/{session_id}", response_model=ChatResponse) +async def chat( + session_id: str, + request: ChatRequest, + user_id: str = Query(..., description="用户ID"), + db: DBSession = Depends(get_db), +): + """发送消息并获取响应""" + # 验证会话 + session = ( + db.query(Session) + .filter(Session.id == session_id, Session.user_id == user_id) + .first() + ) + + if not session: + raise HTTPException(status_code=404, detail="会话不存在") + + if session.status != "active": + raise HTTPException(status_code=410, detail="会话已关闭") + + # 获取或创建 Agent Service + if session_id not in _agent_cache: + workspace_service = WorkspaceService() + workspace_dir = workspace_service._get_session_dir(user_id, session_id) + + history_service = HistoryService(db) + agent_service = AgentService(workspace_dir, history_service, session_id) + + # 初始化 Agent + agent_service.initialize_agent() + + _agent_cache[session_id] = agent_service + else: + agent_service = _agent_cache[session_id] + + # 执行对话 + try: + result = await agent_service.chat(request.message) + except Exception as e: + raise HTTPException(status_code=500, detail=f"Agent 执行失败: {str(e)}") + + # 更新会话活跃时间 + session.last_active = datetime.utcnow() + db.commit() + + # 获取生成的文件 + workspace_service = WorkspaceService() + files = workspace_service.get_session_files(user_id, session_id) + + return ChatResponse( + session_id=session_id, + message=result["response"], + files=[f.name for f in files], + turn=session.turn_count, + message_count=result["message_count"], + ) + + +@router.get("/{session_id}/history", response_model=HistoryResponse) +async def get_history( + session_id: str, + user_id: str = Query(..., description="用户ID"), + db: DBSession = Depends(get_db), +): + """获取会话的对话历史""" + # 验证会话 + session = ( + db.query(Session) + .filter(Session.id == session_id, Session.user_id == user_id) + .first() + ) + + if not session: + raise HTTPException(status_code=404, detail="会话不存在") + + # 加载历史 + history_service = HistoryService(db) + history = history_service.load_session_history(session_id) + + # 转换为响应格式 + messages = [ + MessageHistory( + role=msg["role"], + content=msg["content"], + thinking=msg.get("thinking"), + created_at=msg["created_at"], + ) + for msg in history + if msg["role"] in ["user", "assistant"] # 只返回用户和助手消息 + ] + + return HistoryResponse(session_id=session_id, messages=messages, total=len(messages)) diff --git a/backend/app/api/sessions.py b/backend/app/api/sessions.py new file mode 100644 index 0000000..e7d9c45 --- /dev/null +++ b/backend/app/api/sessions.py @@ -0,0 +1,106 @@ +"""会话管理 API""" +from fastapi import APIRouter, Depends, HTTPException, Query +from sqlalchemy.orm import Session as DBSession +from app.models.database import get_db +from app.models.session import Session +from app.schemas.session import SessionCreate, SessionResponse, SessionListResponse +from app.services.workspace_service import WorkspaceService +from datetime import datetime +import uuid + +router = APIRouter() + + +@router.post("", response_model=SessionResponse) +async def create_session( + request: SessionCreate, + user_id: str = Query(..., description="用户ID"), + db: DBSession = Depends(get_db), +): + """创建新会话""" + # 创建会话 + session_id = str(uuid.uuid4()) + session = Session( + id=session_id, user_id=user_id, title=request.title or "新会话" + ) + db.add(session) + db.commit() + db.refresh(session) + + # 创建工作空间 + workspace_service = WorkspaceService() + workspace_service.create_session_workspace(user_id, session_id) + + return session + + +@router.get("", response_model=SessionListResponse) +async def list_sessions( + user_id: str = Query(..., description="用户ID"), + limit: int = Query(20, ge=1, le=100), + offset: int = Query(0, ge=0), + db: DBSession = Depends(get_db), +): + """获取用户的会话列表""" + sessions = ( + db.query(Session) + .filter(Session.user_id == user_id) + .order_by(Session.created_at.desc()) + .limit(limit) + .offset(offset) + .all() + ) + + total = db.query(Session).filter(Session.user_id == user_id).count() + + return SessionListResponse(sessions=sessions, total=total) + + +@router.get("/{session_id}", response_model=SessionResponse) +async def get_session( + session_id: str, + user_id: str = Query(..., description="用户ID"), + db: DBSession = Depends(get_db), +): + """获取会话详情""" + session = ( + db.query(Session) + .filter(Session.id == session_id, Session.user_id == user_id) + .first() + ) + + if not session: + raise HTTPException(status_code=404, detail="会话不存在") + + return session + + +@router.delete("/{session_id}") +async def close_session( + session_id: str, + user_id: str = Query(..., description="用户ID"), + preserve_files: bool = Query(True, description="是否保留文件"), + db: DBSession = Depends(get_db), +): + """关闭会话""" + session = ( + db.query(Session) + .filter(Session.id == session_id, Session.user_id == user_id) + .first() + ) + + if not session: + raise HTTPException(status_code=404, detail="会话不存在") + + # 清理工作空间 + workspace_service = WorkspaceService() + preserved = workspace_service.cleanup_session( + user_id, session_id, preserve_files=preserve_files + ) + + # 更新数据库 + session.status = "closed" + session.closed_at = datetime.utcnow() + db.commit() + + return {"status": "closed", "preserved_files": preserved} diff --git a/backend/app/config.py b/backend/app/config.py new file mode 100644 index 0000000..3a07209 --- /dev/null +++ b/backend/app/config.py @@ -0,0 +1,73 @@ +"""应用配置""" +from pydantic_settings import BaseSettings +from functools import lru_cache +from pathlib import Path +from typing import List + + +class Settings(BaseSettings): + """应用配置""" + + # 应用配置 + app_name: str = "Mini-Agent Backend" + app_version: str = "0.1.0" + debug: bool = False + + # API 配置 + api_prefix: str = "/api" + cors_origins: List[str] = ["http://localhost:3000"] + + # 简单认证（临时方案，格式：username:password,username2:password2） + simple_auth_users: str = "demo:demo123" + + # 数据库配置 + database_url: str = "sqlite:///./data/database/mini_agent.db" + + # MiniMax API 配置 + minimax_api_key: str + minimax_api_base: str = "https://api.minimax.chat" + minimax_model: str = "MiniMax-Text-01" + + # 工作空间配置 + workspace_base: Path = Path("./data/workspaces") + shared_env_path: Path = Path("./data/shared_env/base.venv") + allowed_packages_file: Path = Path("./data/shared_env/allowed_packages.txt") + + # Agent 配置 + agent_max_steps: int = 100 + agent_token_limit: int = 80000 + + # 会话配置 + session_inactive_timeout_hours: int = 1 + session_max_duration_hours: int = 24 + session_max_turns: int = 50 + + # 文件保留配置 + preserve_file_extensions: List[str] = [ + ".pdf", + ".xlsx", + ".pptx", + ".docx", + ".png", + ".jpg", + ".jpeg", + ] + + class Config: + env_file = ".env" + env_file_encoding = "utf-8" + + def get_auth_users(self) -> dict[str, str]: + """解析简单认证用户列表""" + users = {} + for user_pair in self.simple_auth_users.split(","): + if ":" in user_pair: + username, password = user_pair.split(":", 1) + users[username.strip()] = password.strip() + return users + + +@lru_cache() +def get_settings() -> Settings: + """获取配置（单例）""" + return Settings() diff --git a/backend/app/main.py b/backend/app/main.py new file mode 100644 index 0000000..e3b0362 --- /dev/null +++ b/backend/app/main.py @@ -0,0 +1,65 @@ +"""FastAPI 主应用""" +from fastapi import FastAPI +from fastapi.middleware.cors import CORSMiddleware +from app.config import get_settings +from app.api import auth, sessions, chat +from app.models.database import init_db + +settings = get_settings() + +# 创建 FastAPI 应用 +app = FastAPI( + title=settings.app_name, + version=settings.app_version, + docs_url=f"{settings.api_prefix}/docs", + redoc_url=f"{settings.api_prefix}/redoc", +) + +# CORS 中间件 +app.add_middleware( + CORSMiddleware, + allow_origins=settings.cors_origins, + allow_credentials=True, + allow_methods=["*"], + allow_headers=["*"], +) + + +# 启动事件 +@app.on_event("startup") +async def startup_event(): + """应用启动时执行""" + # 初始化数据库 + init_db() + print(f"✅ 数据库初始化完成") + print(f"✅ {settings.app_name} v{settings.app_version} 启动成功") + + +# 路由 +app.include_router(auth.router, prefix=f"{settings.api_prefix}/auth", tags=["认证"]) +app.include_router( + sessions.router, prefix=f"{settings.api_prefix}/sessions", tags=["会话管理"] +) +app.include_router(chat.router, prefix=f"{settings.api_prefix}/chat", tags=["对话"]) + + +# 根路径 +@app.get("/") +async def root(): + return { + "message": "Mini-Agent API", + "version": settings.app_version, + "docs": f"{settings.api_prefix}/docs", + } + + +# 健康检查 +@app.get("/health") +async def health(): + return {"status": "healthy", "version": settings.app_version} + + +if __name__ == "__main__": + import uvicorn + + uvicorn.run(app, host="0.0.0.0", port=8000, reload=settings.debug) diff --git a/backend/app/models/__init__.py b/backend/app/models/__init__.py new file mode 100644 index 0000000..3319d6f --- /dev/null +++ b/backend/app/models/__init__.py @@ -0,0 +1,6 @@ +"""数据模型""" +from .database import Base, get_db, init_db +from .session import Session +from .message import Message + +__all__ = ["Base", "get_db", "init_db", "Session", "Message"] diff --git a/backend/app/models/database.py b/backend/app/models/database.py new file mode 100644 index 0000000..e0d36e2 --- /dev/null +++ b/backend/app/models/database.py @@ -0,0 +1,39 @@ +"""数据库配置""" +from sqlalchemy import create_engine +from sqlalchemy.ext.declarative import declarative_base +from sqlalchemy.orm import sessionmaker +from pathlib import Path + +# 确保数据库目录存在 +db_dir = Path("./data/database") +db_dir.mkdir(parents=True, exist_ok=True) + +# 数据库URL +DATABASE_URL = "sqlite:///./data/database/mini_agent.db" + +# 创建引擎 +engine = create_engine( + DATABASE_URL, + connect_args={"check_same_thread": False}, # SQLite 需要 + echo=False, # 生产环境设为 False +) + +# 会话工厂 +SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine) + +# Base 类 +Base = declarative_base() + + +def get_db(): + """依赖注入：获取数据库会话""" + db = SessionLocal() + try: + yield db + finally: + db.close() + + +def init_db(): + """初始化数据库（创建所有表）""" + Base.metadata.create_all(bind=engine) diff --git a/backend/app/models/message.py b/backend/app/models/message.py new file mode 100644 index 0000000..e677bf3 --- /dev/null +++ b/backend/app/models/message.py @@ -0,0 +1,24 @@ +"""消息数据模型""" +from sqlalchemy import Column, String, Integer, Text, DateTime, ForeignKey +from datetime import datetime +from .database import Base + + +class Message(Base): + """消息表""" + + __tablename__ = "messages" + + id = Column(Integer, primary_key=True, autoincrement=True) + session_id = Column( + String(36), + ForeignKey("sessions.id", ondelete="CASCADE"), + nullable=False, + index=True, + ) + role = Column(String(20), nullable=False) # system, user, assistant, tool + content = Column(Text, nullable=True) + thinking = Column(Text, nullable=True) + tool_calls = Column(Text, nullable=True) # JSON string + tool_call_id = Column(String(100), nullable=True) + created_at = Column(DateTime, default=datetime.utcnow, index=True) diff --git a/backend/app/models/session.py b/backend/app/models/session.py new file mode 100644 index 0000000..e0ced53 --- /dev/null +++ b/backend/app/models/session.py @@ -0,0 +1,22 @@ +"""会话数据模型""" +from sqlalchemy import Column, String, Integer, DateTime +from datetime import datetime +from .database import Base + + +class Session(Base): + """会话表""" + + __tablename__ = "sessions" + + id = Column(String(36), primary_key=True) + user_id = Column(String(100), nullable=False, index=True) # 简化为username + created_at = Column(DateTime, default=datetime.utcnow, index=True) + last_active = Column(DateTime, default=datetime.utcnow) + closed_at = Column(DateTime, nullable=True) + status = Column(String(20), default="active", index=True) # active, closed, expired + title = Column(String(255), nullable=True) + + # 统计字段 + message_count = Column(Integer, default=0) + turn_count = Column(Integer, default=0) diff --git a/backend/app/schemas/__init__.py b/backend/app/schemas/__init__.py new file mode 100644 index 0000000..bf4b251 --- /dev/null +++ b/backend/app/schemas/__init__.py @@ -0,0 +1 @@ +"""Pydantic Schemas""" diff --git a/backend/app/schemas/auth.py b/backend/app/schemas/auth.py new file mode 100644 index 0000000..bd0a237 --- /dev/null +++ b/backend/app/schemas/auth.py @@ -0,0 +1,17 @@ +"""认证相关 Schema""" +from pydantic import BaseModel + + +class LoginRequest(BaseModel): + """登录请求""" + + username: str + password: str + + +class LoginResponse(BaseModel): + """登录响应""" + + user_id: str + username: str + message: str = "登录成功" diff --git a/backend/app/schemas/chat.py b/backend/app/schemas/chat.py new file mode 100644 index 0000000..1173ecd --- /dev/null +++ b/backend/app/schemas/chat.py @@ -0,0 +1,37 @@ +"""对话相关 Schema""" +from pydantic import BaseModel, Field +from typing import Optional, List + + +class ChatRequest(BaseModel): + """对话请求""" + + message: str = Field(..., min_length=1, max_length=10000, description="用户消息") + + +class ChatResponse(BaseModel): + """对话响应""" + + session_id: str + message: str + thinking: Optional[str] = None + files: List[str] = [] + turn: int + message_count: int + + +class MessageHistory(BaseModel): + """消息历史""" + + role: str + content: Optional[str] + thinking: Optional[str] = None + created_at: str + + +class HistoryResponse(BaseModel): + """历史记录响应""" + + session_id: str + messages: List[MessageHistory] + total: int diff --git a/backend/app/schemas/session.py b/backend/app/schemas/session.py new file mode 100644 index 0000000..89c962e --- /dev/null +++ b/backend/app/schemas/session.py @@ -0,0 +1,33 @@ +"""会话相关 Schema""" +from pydantic import BaseModel, Field +from datetime import datetime +from typing import Optional + + +class SessionCreate(BaseModel): + """创建会话请求""" + + title: Optional[str] = None + + +class SessionResponse(BaseModel): + """会话响应""" + + id: str + user_id: str + created_at: datetime + last_active: datetime + status: str + title: Optional[str] + message_count: int + turn_count: int + + class Config: + from_attributes = True + + +class SessionListResponse(BaseModel): + """会话列表响应""" + + sessions: list[SessionResponse] + total: int diff --git a/backend/app/services/__init__.py b/backend/app/services/__init__.py new file mode 100644 index 0000000..9e5a97e --- /dev/null +++ b/backend/app/services/__init__.py @@ -0,0 +1 @@ +"""业务服务""" diff --git a/backend/app/services/agent_service.py b/backend/app/services/agent_service.py new file mode 100644 index 0000000..4ce783c --- /dev/null +++ b/backend/app/services/agent_service.py @@ -0,0 +1,178 @@ +"""Agent 服务 - 连接 Mini-Agent 核心""" +import sys +from pathlib import Path + +# 添加 mini_agent 到 Python 路径 +mini_agent_path = Path(__file__).parent.parent.parent.parent / "mini_agent" +if str(mini_agent_path) not in sys.path: + sys.path.insert(0, str(mini_agent_path.parent)) + +from mini_agent.agent import Agent +from mini_agent.llm import LLMClient +from mini_agent.schema import LLMProvider, Message as AgentMessage +from mini_agent.tools.file_tools import ReadTool, WriteTool, EditTool +from mini_agent.tools.bash_tool import BashTool, BashOutputTool, BashKillTool +from mini_agent.tools.note_tool import SessionNoteTool + +from app.services.history_service import HistoryService +from app.config import get_settings +from typing import List, Dict +from pathlib import Path as PathlibPath + +settings = get_settings() + + +class AgentService: + """Agent 服务""" + + def __init__( + self, workspace_dir: PathlibPath, history_service: HistoryService, session_id: str + ): + self.workspace_dir = workspace_dir + self.history_service = history_service + self.session_id = session_id + self.agent: Agent | None = None + self._last_saved_index = 0 + + def initialize_agent(self): + """初始化 Agent""" + # 创建 LLM 客户端 + llm_client = LLMClient( + api_key=settings.minimax_api_key, + api_base=settings.minimax_api_base, + provider=LLMProvider.ANTHROPIC, + model=settings.minimax_model, + ) + + # 加载 system prompt + system_prompt = self._load_system_prompt() + + # 创建工具列表 + tools = self._create_tools() + + # 创建 Agent + self.agent = Agent( + llm_client=llm_client, + system_prompt=system_prompt, + tools=tools, + max_steps=settings.agent_max_steps, + workspace_dir=str(self.workspace_dir), + token_limit=settings.agent_token_limit, + ) + + # 从数据库恢复历史 + self._restore_history() + + def _load_system_prompt(self) -> str: + """加载 system prompt""" + prompt_file = ( + Path(__file__).parent.parent.parent.parent + / "mini_agent" + / "config" + / "system_prompt.md" + ) + if prompt_file.exists(): + return prompt_file.read_text(encoding="utf-8") + return "You are Mini-Agent, an AI assistant powered by MiniMax." + + def _create_tools(self) -> List: + """创建工具列表""" + tools = [ + # 文件工具 + ReadTool(workspace_dir=str(self.workspace_dir)), + WriteTool(workspace_dir=str(self.workspace_dir)), + EditTool(workspace_dir=str(self.workspace_dir)), + # Bash 工具 + BashTool(workspace_dir=str(self.workspace_dir)), + BashOutputTool(), + BashKillTool(), + # 会话笔记工具 + SessionNoteTool( + memory_file=str(self.workspace_dir / ".agent_memory.json") + ), + ] + + # TODO: 添加 Skills + # TODO: 添加 MCP tools + + return tools + + def _restore_history(self): + """从数据库恢复对话历史""" + if not self.agent: + return + + history = self.history_service.load_session_history(self.session_id) + + # 跳过 system message（index 0） + for msg_data in history: + if msg_data["role"] == "user": + self.agent.messages.append( + AgentMessage(role="user", content=msg_data["content"]) + ) + elif msg_data["role"] == "assistant": + self.agent.messages.append( + AgentMessage( + role="assistant", + content=msg_data["content"], + thinking=msg_data.get("thinking"), + tool_calls=msg_data.get("tool_calls"), + ) + ) + elif msg_data["role"] == "tool": + self.agent.messages.append( + AgentMessage( + role="tool", + content=msg_data["content"], + tool_call_id=msg_data.get("tool_call_id"), + ) + ) + + self._last_saved_index = len(self.agent.messages) + + async def chat(self, user_message: str) -> Dict: + """执行对话""" + if not self.agent: + raise RuntimeError("Agent not initialized") + + # 保存用户消息 + self.history_service.save_message( + session_id=self.session_id, role="user", content=user_message + ) + + # 添加到 agent + self.agent.add_user_message(user_message) + + # 执行 agent + response = await self.agent.run() + + # 保存 agent 生成的消息 + self._save_new_messages() + + return {"response": response, "message_count": len(self.agent.messages)} + + def _save_new_messages(self): + """保存新增的消息到数据库""" + if not self.agent: + return + + for msg in self.agent.messages[self._last_saved_index :]: + if msg.role == "assistant": + self.history_service.save_message( + session_id=self.session_id, + role="assistant", + content=msg.content, + thinking=msg.thinking, + tool_calls=[tc.dict() for tc in msg.tool_calls] + if msg.tool_calls + else None, + ) + elif msg.role == "tool": + self.history_service.save_message( + session_id=self.session_id, + role="tool", + content=msg.content, + tool_call_id=msg.tool_call_id, + ) + + self._last_saved_index = len(self.agent.messages) diff --git a/backend/app/services/history_service.py b/backend/app/services/history_service.py new file mode 100644 index 0000000..d72c55b --- /dev/null +++ b/backend/app/services/history_service.py @@ -0,0 +1,72 @@ +"""对话历史服务""" +from sqlalchemy.orm import Session as DBSession +from app.models.message import Message +from app.models.session import Session +from typing import List, Dict, Optional +import json + + +class HistoryService: + """对话历史服务""" + + def __init__(self, db: DBSession): + self.db = db + + def save_message( + self, + session_id: str, + role: str, + content: Optional[str] = None, + thinking: Optional[str] = None, + tool_calls: Optional[List[Dict]] = None, + tool_call_id: Optional[str] = None, + ) -> Message: + """保存消息到数据库""" + message = Message( + session_id=session_id, + role=role, + content=content, + thinking=thinking, + tool_calls=json.dumps(tool_calls, ensure_ascii=False) + if tool_calls + else None, + tool_call_id=tool_call_id, + ) + self.db.add(message) + self.db.commit() + self.db.refresh(message) + + # 更新会话的消息计数 + session = self.db.query(Session).filter(Session.id == session_id).first() + if session: + session.message_count += 1 + if role == "user": + session.turn_count += 1 + self.db.commit() + + return message + + def load_session_history(self, session_id: str) -> List[Dict]: + """加载会话历史""" + messages = ( + self.db.query(Message) + .filter(Message.session_id == session_id) + .order_by(Message.created_at) + .all() + ) + + return [ + { + "role": msg.role, + "content": msg.content, + "thinking": msg.thinking, + "tool_calls": json.loads(msg.tool_calls) if msg.tool_calls else None, + "tool_call_id": msg.tool_call_id, + "created_at": msg.created_at.isoformat(), + } + for msg in messages + ] + + def get_message_count(self, session_id: str) -> int: + """获取消息数量""" + return self.db.query(Message).filter(Message.session_id == session_id).count() diff --git a/backend/app/services/workspace_service.py b/backend/app/services/workspace_service.py new file mode 100644 index 0000000..3f95958 --- /dev/null +++ b/backend/app/services/workspace_service.py @@ -0,0 +1,85 @@ +"""工作空间管理服务""" +from pathlib import Path +import shutil +from typing import List +from datetime import datetime +from app.config import get_settings + +settings = get_settings() + + +class WorkspaceService: + """工作空间管理服务""" + + def __init__(self): + self.base_path = settings.workspace_base + self.base_path.mkdir(parents=True, exist_ok=True) + + def create_session_workspace(self, user_id: str, session_id: str) -> Path: + """创建会话工作空间""" + session_dir = self._get_session_dir(user_id, session_id) + + # 创建目录结构 + session_dir.mkdir(parents=True, exist_ok=True) + (session_dir / "files").mkdir(exist_ok=True) + (session_dir / "logs").mkdir(exist_ok=True) + + # 创建符号链接到 shared_files + shared_dir = self._get_user_shared_dir(user_id) + shared_dir.mkdir(parents=True, exist_ok=True) + + shared_link = session_dir / "shared" + if not shared_link.exists(): + try: + shared_link.symlink_to(shared_dir, target_is_directory=True) + except Exception: + # Windows 可能不支持符号链接，跳过 + pass + + return session_dir + + def cleanup_session( + self, user_id: str, session_id: str, preserve_files: bool = True + ) -> List[str]: + """清理会话工作空间""" + session_dir = self._get_session_dir(user_id, session_id) + preserved_files = [] + + if preserve_files: + # 保留特定格式的文件 + files_dir = session_dir / "files" + if files_dir.exists(): + for file in files_dir.iterdir(): + if ( + file.is_file() + and file.suffix.lower() in settings.preserve_file_extensions + ): + # 移动到 shared_files/outputs + dest_dir = self._get_user_shared_dir(user_id) / "outputs" + dest_dir.mkdir(parents=True, exist_ok=True) + + timestamp = datetime.now().strftime("%Y%m%d_%H%M%S") + dest_file = dest_dir / f"{timestamp}_{file.name}" + shutil.copy2(file, dest_file) + preserved_files.append(str(dest_file.relative_to(self.base_path))) + + # 删除会话目录 + if session_dir.exists(): + shutil.rmtree(session_dir, ignore_errors=True) + + return preserved_files + + def get_session_files(self, user_id: str, session_id: str) -> List[Path]: + """获取会话的所有文件""" + files_dir = self._get_session_dir(user_id, session_id) / "files" + if not files_dir.exists(): + return [] + return [f for f in files_dir.iterdir() if f.is_file()] + + def _get_session_dir(self, user_id: str, session_id: str) -> Path: + """获取会话目录路径""" + return self.base_path / f"user_{user_id}" / "sessions" / session_id + + def _get_user_shared_dir(self, user_id: str) -> Path: + """获取用户共享目录路径""" + return self.base_path / f"user_{user_id}" / "shared_files" diff --git a/backend/data/shared_env/allowed_packages.txt b/backend/data/shared_env/allowed_packages.txt new file mode 100644 index 0000000..a833265 --- /dev/null +++ b/backend/data/shared_env/allowed_packages.txt @@ -0,0 +1,49 @@ +# Mini-Agent 允许安装的 Python 包白名单 +# 基于 Claude Skills 需求分析 + +# === 文档处理 (Document Skills) === +# PDF 处理 +pypdf>=3.0.0,<4.0.0 +pdfplumber>=0.10.0,<1.0.0 +reportlab>=4.0.0,<5.0.0 + +# PowerPoint 处理 +python-pptx>=0.6.0,<1.0.0 + +# Word 文档处理 +python-docx>=1.0.0,<2.0.0 + +# Excel 处理 +openpyxl>=3.1.0,<4.0.0 +xlrd>=2.0.0,<3.0.0 +xlsxwriter>=3.0.0,<4.0.0 + +# === 数据处理 === +pandas>=2.0.0,<3.0.0 +numpy>=1.24.0,<2.0.0 + +# === 图像处理 (Canvas Design, GIF Creator) === +Pillow>=10.0.0,<11.0.0 + +# === 可视化 === +matplotlib>=3.7.0,<4.0.0 +seaborn>=0.12.0,<1.0.0 + +# === 网络请求 === +requests>=2.31.0,<3.0.0 +httpx>=0.25.0,<1.0.0 + +# === 工具库 === +pyyaml>=6.0,<7.0 +jinja2>=3.1.0,<4.0.0 +python-dateutil>=2.8.0,<3.0.0 + +# === 数学/科学计算 (Algorithmic Art) === +scipy>=1.11.0,<2.0.0 + +# === 禁止的包（不在白名单） === +# - os-sys (系统访问) +# - subprocess32 (进程执行) +# - eval, exec 相关 +# - 任何加密货币、挖矿相关 +# - 任何系统管理、权限提升相关 diff --git a/backend/requirements.txt b/backend/requirements.txt new file mode 100644 index 0000000..189abb4 --- /dev/null +++ b/backend/requirements.txt @@ -0,0 +1,22 @@ +# FastAPI 后端依赖 + +# Web 框架 +fastapi==0.104.1 +uvicorn[standard]==0.24.0 +python-multipart==0.0.6 + +# 数据库 +sqlalchemy==2.0.23 +alembic==1.12.1 + +# 配置管理 +pydantic==2.5.0 +pydantic-settings==2.1.0 +python-dotenv==1.0.0 + +# CORS +fastapi-cors==0.0.6 + +# 工具 +python-jose[cryptography]==3.3.0 # JWT（未来用） +passlib[bcrypt]==1.7.4 # 密码哈希（未来用） diff --git a/backend/test_api.py b/backend/test_api.py new file mode 100644 index 0000000..df8748d --- /dev/null +++ b/backend/test_api.py @@ -0,0 +1,103 @@ +"""FastAPI 后端测试脚本""" +import requests +import json + +BASE_URL = "http://localhost:8000/api" + + +def test_login(): + """测试登录""" + print("\n=== 测试登录 ===") + response = requests.post( + f"{BASE_URL}/auth/login", json={"username": "demo", "password": "demo123"} + ) + print(f"状态码: {response.status_code}") + print(f"响应: {json.dumps(response.json(), indent=2, ensure_ascii=False)}") + return response.json()["user_id"] + + +def test_create_session(user_id): + """测试创建会话""" + print("\n=== 测试创建会话 ===") + response = requests.post( + f"{BASE_URL}/sessions?user_id={user_id}", + json={"title": "测试会话"}, + ) + print(f"状态码: {response.status_code}") + data = response.json() + print(f"响应: {json.dumps(data, indent=2, ensure_ascii=False)}") + return data["id"] + + +def test_chat(user_id, session_id): + """测试对话""" + print("\n=== 测试对话 ===") + response = requests.post( + f"{BASE_URL}/chat/{session_id}?user_id={user_id}", + json={"message": "你好，介绍一下你自己"}, + ) + print(f"状态码: {response.status_code}") + print(f"响应: {json.dumps(response.json(), indent=2, ensure_ascii=False)}") + + +def test_get_history(user_id, session_id): + """测试获取历史""" + print("\n=== 测试获取历史 ===") + response = requests.get(f"{BASE_URL}/chat/{session_id}/history?user_id={user_id}") + print(f"状态码: {response.status_code}") + data = response.json() + print(f"消息数量: {data['total']}") + for msg in data["messages"]: + print(f" - {msg['role']}: {msg['content'][:50]}...") + + +def test_list_sessions(user_id): + """测试会话列表""" + print("\n=== 测试会话列表 ===") + response = requests.get(f"{BASE_URL}/sessions?user_id={user_id}") + print(f"状态码: {response.status_code}") + data = response.json() + print(f"总会话数: {data['total']}") + for session in data["sessions"]: + print(f" - {session['title']} ({session['id'][:8]}...)") + + +def test_close_session(user_id, session_id): + """测试关闭会话""" + print("\n=== 测试关闭会话 ===") + response = requests.delete( + f"{BASE_URL}/sessions/{session_id}?user_id={user_id}&preserve_files=true" + ) + print(f"状态码: {response.status_code}") + print(f"响应: {json.dumps(response.json(), indent=2, ensure_ascii=False)}") + + +if __name__ == "__main__": + print("开始测试 Mini-Agent FastAPI 后端...") + + try: + # 1. 登录 + user_id = test_login() + + # 2. 创建会话 + session_id = test_create_session(user_id) + + # 3. 发送消息 + test_chat(user_id, session_id) + + # 4. 获取历史 + test_get_history(user_id, session_id) + + # 5. 列出会话 + test_list_sessions(user_id) + + # 6. 关闭会话 + test_close_session(user_id, session_id) + + print("\n✅ 所有测试完成！") + + except Exception as e: + print(f"\n❌ 测试失败: {e}") + import traceback + + traceback.print_exc() From db31e6fe030398e55ffae68ba8b34d646e49dbd5 Mon Sep 17 00:00:00 2001 From: Claude Date: Mon, 17 Nov 2025 10:10:13 +0000 Subject: [PATCH 14/29] =?UTF-8?q?fix(backend):=20=E6=94=AF=E6=8C=81?= =?UTF-8?q?=E5=A4=9A=20LLM=20=E6=8F=90=E4=BE=9B=E5=95=86=E5=B9=B6=E5=A2=9E?= =?UTF-8?q?=E5=BC=BA=E5=AE=89=E5=85=A8=E6=80=A7?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit 安全改进: - 添加 backend/.env 到 .gitignore 防止提交 API 密钥 - 添加 backend/data/database/*.db 到 .gitignore - 创建 CONFIG_SECURITY.md 安全配置文档 灵活性改进: - 将 MINIMAX_* 环境变量改为通用的 LLM_* - 支持多个 LLM 提供商 (MiniMax, GLM, OpenAI, Anthropic) - agent_service.py 中添加动态提供商选择 - .env.example 中添加多个提供商配置示例 配置变更: - LLM_API_KEY: API 密钥（替代 MINIMAX_API_KEY） - LLM_API_BASE: API 基础地址 - LLM_MODEL: 模型名称 - LLM_PROVIDER: 提供商类型 (anthropic/openai) --- .gitignore | 5 +- backend/.env.example | 24 ++++++-- backend/CONFIG_SECURITY.md | 83 +++++++++++++++++++++++++++ backend/README.md | 3 +- backend/app/config.py | 9 +-- backend/app/services/agent_service.py | 16 ++++-- 6 files changed, 125 insertions(+), 15 deletions(-) create mode 100644 backend/CONFIG_SECURITY.md diff --git a/.gitignore b/.gitignore index b022fd9..cb320b6 100644 --- a/.gitignore +++ b/.gitignore @@ -56,4 +56,7 @@ mcp.json.bak docs/assets/backup/ docs/assets/preview.html -claude.md \ No newline at end of file +claude.md +# Backend config files +backend/.env +backend/data/database/*.db diff --git a/backend/.env.example b/backend/.env.example index 5c5e418..3a078e0 100644 --- a/backend/.env.example +++ b/backend/.env.example @@ -8,10 +8,26 @@ DEBUG=true # 格式：username:password,username2:password2 SIMPLE_AUTH_USERS="demo:demo123,test:test123" -# MiniMax API -MINIMAX_API_KEY="your-minimax-api-key-here" -MINIMAX_API_BASE="https://api.minimax.chat" -MINIMAX_MODEL="MiniMax-Text-01" +# LLM API 配置（支持多种 LLM） +# 根据你使用的 LLM 填写相应配置 + +# MiniMax 示例 +# LLM_API_KEY="your-minimax-api-key" +# LLM_API_BASE="https://api.minimax.chat" +# LLM_MODEL="MiniMax-Text-01" +# LLM_PROVIDER="anthropic" + +# 智谱 GLM 示例 +# LLM_API_KEY="your-glm-api-key" +# LLM_API_BASE="https://open.bigmodel.cn/api/paas/v4/" +# LLM_MODEL="glm-4" +# LLM_PROVIDER="openai" + +# 默认配置（请修改） +LLM_API_KEY="your-api-key-here" +LLM_API_BASE="https://api.minimax.chat" +LLM_MODEL="MiniMax-Text-01" +LLM_PROVIDER="anthropic" # 数据库 DATABASE_URL="sqlite:///./data/database/mini_agent.db" diff --git a/backend/CONFIG_SECURITY.md b/backend/CONFIG_SECURITY.md new file mode 100644 index 0000000..7dd2d22 --- /dev/null +++ b/backend/CONFIG_SECURITY.md @@ -0,0 +1,83 @@ +# Backend 配置文件 + +## 安全提醒 ⚠️ + +**请不要提交包含真实密钥的配置文件！** + +本目录下的 `.env` 文件已被 `.gitignore` 忽略，但请确保： +- 不要在代码中硬编码密钥 +- 不要提交 `.env` 文件 +- 使用 `.env.example` 作为模板 + +## 配置说明 + +### LLM API 配置 + +支持多种 LLM 提供商： + +#### 1. MiniMax +```env +LLM_API_KEY="your-minimax-api-key" +LLM_API_BASE="https://api.minimax.chat" +LLM_MODEL="MiniMax-Text-01" +LLM_PROVIDER="anthropic" +``` + +#### 2. 智谱 GLM +```env +LLM_API_KEY="your-glm-api-key" +LLM_API_BASE="https://open.bigmodel.cn/api/paas/v4/" +LLM_MODEL="glm-4" +LLM_PROVIDER="openai" +``` + +#### 3. OpenAI +```env +LLM_API_KEY="your-openai-api-key" +LLM_API_BASE="https://api.openai.com/v1" +LLM_MODEL="gpt-4" +LLM_PROVIDER="openai" +``` + +#### 4. Anthropic Claude +```env +LLM_API_KEY="your-anthropic-api-key" +LLM_API_BASE="https://api.anthropic.com" +LLM_MODEL="claude-3-5-sonnet-20241022" +LLM_PROVIDER="anthropic" +``` + +### LLM_PROVIDER 说明 + +- `anthropic`: 使用 Anthropic Messages API 格式 +- `openai`: 使用 OpenAI Chat Completions API 格式 + +大多数兼容 OpenAI 的 API（如智谱 GLM、通义千问等）都应该使用 `openai`。 + +## 使用步骤 + +1. 复制示例文件 + ```bash + cp .env.example .env + ``` + +2. 编辑 `.env` 文件，填入你的配置 + ```bash + vim .env + ``` + +3. 确保不提交 `.env` + ```bash + git status # 应该看不到 .env 文件 + ``` + +## 主配置文件位置 + +主配置文件 `mini_agent/config/config.yaml` 也包含 API 配置： +- 该文件已在 `.gitignore` 中 +- 不会被 git 追踪 +- 可以安全地存放密钥 + +## 配置优先级 + +Backend 使用环境变量（`.env`），与主配置文件（`config.yaml`）独立。 diff --git a/backend/README.md b/backend/README.md index 91fc211..dcd34f2 100644 --- a/backend/README.md +++ b/backend/README.md @@ -25,7 +25,8 @@ pip install -r requirements.txt ```bash cp .env.example .env -# 编辑 .env 文件，填入你的 MiniMax API Key +# 编辑 .env 文件，填入你的 LLM API Key（支持 MiniMax、GLM、OpenAI 等） +# 详见 CONFIG_SECURITY.md ``` ### 3. 启动服务 diff --git a/backend/app/config.py b/backend/app/config.py index 3a07209..01da001 100644 --- a/backend/app/config.py +++ b/backend/app/config.py @@ -23,10 +23,11 @@ class Settings(BaseSettings): # 数据库配置 database_url: str = "sqlite:///./data/database/mini_agent.db" - # MiniMax API 配置 - minimax_api_key: str - minimax_api_base: str = "https://api.minimax.chat" - minimax_model: str = "MiniMax-Text-01" + # LLM API 配置（支持 MiniMax、GLM、OpenAI 等） + llm_api_key: str # API 密钥 + llm_api_base: str = "https://api.minimax.chat" # API 基础地址 + llm_model: str = "MiniMax-Text-01" # 模型名称 + llm_provider: str = "anthropic" # 提供商：anthropic 或 openai # 工作空间配置 workspace_base: Path = Path("./data/workspaces") diff --git a/backend/app/services/agent_service.py b/backend/app/services/agent_service.py index 4ce783c..5023fed 100644 --- a/backend/app/services/agent_service.py +++ b/backend/app/services/agent_service.py @@ -36,12 +36,18 @@ def __init__( def initialize_agent(self): """初始化 Agent""" + # 根据配置确定 provider + if settings.llm_provider.lower() == "openai": + provider = LLMProvider.OPENAI + else: + provider = LLMProvider.ANTHROPIC + # 创建 LLM 客户端 llm_client = LLMClient( - api_key=settings.minimax_api_key, - api_base=settings.minimax_api_base, - provider=LLMProvider.ANTHROPIC, - model=settings.minimax_model, + api_key=settings.llm_api_key, + api_base=settings.llm_api_base, + provider=provider, + model=settings.llm_model, ) # 加载 system prompt @@ -73,7 +79,7 @@ def _load_system_prompt(self) -> str: ) if prompt_file.exists(): return prompt_file.read_text(encoding="utf-8") - return "You are Mini-Agent, an AI assistant powered by MiniMax." + return "You are Mini-Agent, an AI assistant." def _create_tools(self) -> List: """创建工具列表""" From 654b72b33bbf655e9544490e0c994f53a8e3c94f Mon Sep 17 00:00:00 2001 From: Claude Date: Mon, 17 Nov 2025 10:42:51 +0000 Subject: [PATCH 15/29] =?UTF-8?q?feat(frontend):=20=E5=AE=9E=E7=8E=B0?= =?UTF-8?q?=E5=AE=8C=E6=95=B4=E7=9A=84=20React=20=E5=89=8D=E7=AB=AF?= =?UTF-8?q?=E7=95=8C=E9=9D=A2?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit 功能特性: - 用户登录界面（用户名/密码认证） - 会话管理（创建、删除、切换会话） - 实时对话界面（发送消息、查看历史） - Markdown 消息渲染（代码高亮、表格、链接） - 思考过程和工具调用可视化 - 会话状态展示（活跃/暂停/完成） - 响应式设计和现代化 UI 技术栈: - React 18.2 + TypeScript 5.2 - Vite 5.0（快速构建） - TailwindCSS 3.3（样式框架） - React Router 6.20（路由管理） - Axios（HTTP 客户端） - react-markdown（Markdown 渲染） - lucide-react（图标） - date-fns（日期处理） 项目结构: - components/: Login, SessionList, Chat, Message - services/: API 服务层封装 - types/: TypeScript 类型定义 - App.tsx: 主应用和路由配置 配置文件: - vite.config.ts: Vite 配置（代理 /api 到后端） - tailwind.config.js: Tailwind 主题配置 - tsconfig.json: TypeScript 配置 - package.json: 依赖管理 --- frontend/.eslintrc.cjs | 18 ++ frontend/.gitignore | 24 ++ frontend/README.md | 359 ++++++++++++++++++++++++ frontend/index.html | 13 + frontend/package.json | 37 +++ frontend/postcss.config.js | 6 + frontend/src/App.tsx | 53 ++++ frontend/src/components/Chat.tsx | 226 +++++++++++++++ frontend/src/components/Login.tsx | 105 +++++++ frontend/src/components/Message.tsx | 159 +++++++++++ frontend/src/components/SessionList.tsx | 180 ++++++++++++ frontend/src/index.css | 109 +++++++ frontend/src/main.tsx | 10 + frontend/src/services/api.ts | 207 ++++++++++++++ frontend/src/types/index.ts | 94 +++++++ frontend/src/vite-env.d.ts | 1 + frontend/tailwind.config.js | 26 ++ frontend/tsconfig.json | 25 ++ frontend/tsconfig.node.json | 10 + frontend/vite.config.ts | 16 ++ 20 files changed, 1678 insertions(+) create mode 100644 frontend/.eslintrc.cjs create mode 100644 frontend/.gitignore create mode 100644 frontend/README.md create mode 100644 frontend/index.html create mode 100644 frontend/package.json create mode 100644 frontend/postcss.config.js create mode 100644 frontend/src/App.tsx create mode 100644 frontend/src/components/Chat.tsx create mode 100644 frontend/src/components/Login.tsx create mode 100644 frontend/src/components/Message.tsx create mode 100644 frontend/src/components/SessionList.tsx create mode 100644 frontend/src/index.css create mode 100644 frontend/src/main.tsx create mode 100644 frontend/src/services/api.ts create mode 100644 frontend/src/types/index.ts create mode 100644 frontend/src/vite-env.d.ts create mode 100644 frontend/tailwind.config.js create mode 100644 frontend/tsconfig.json create mode 100644 frontend/tsconfig.node.json create mode 100644 frontend/vite.config.ts diff --git a/frontend/.eslintrc.cjs b/frontend/.eslintrc.cjs new file mode 100644 index 0000000..d6c9537 --- /dev/null +++ b/frontend/.eslintrc.cjs @@ -0,0 +1,18 @@ +module.exports = { + root: true, + env: { browser: true, es2020: true }, + extends: [ + 'eslint:recommended', + 'plugin:@typescript-eslint/recommended', + 'plugin:react-hooks/recommended', + ], + ignorePatterns: ['dist', '.eslintrc.cjs'], + parser: '@typescript-eslint/parser', + plugins: ['react-refresh'], + rules: { + 'react-refresh/only-export-components': [ + 'warn', + { allowConstantExport: true }, + ], + }, +} diff --git a/frontend/.gitignore b/frontend/.gitignore new file mode 100644 index 0000000..a547bf3 --- /dev/null +++ b/frontend/.gitignore @@ -0,0 +1,24 @@ +# Logs +logs +*.log +npm-debug.log* +yarn-debug.log* +yarn-error.log* +pnpm-debug.log* +lerna-debug.log* + +node_modules +dist +dist-ssr +*.local + +# Editor directories and files +.vscode/* +!.vscode/extensions.json +.idea +.DS_Store +*.suo +*.ntvs* +*.njsproj +*.sln +*.sw? diff --git a/frontend/README.md b/frontend/README.md new file mode 100644 index 0000000..1b578f6 --- /dev/null +++ b/frontend/README.md @@ -0,0 +1,359 @@ +# Mini Agent 前端 + +基于 React + TypeScript + Vite + TailwindCSS 构建的现代化对话界面。 + +## 技术栈 + +- **框架**: React 18.2 +- **语言**: TypeScript 5.2 +- **构建工具**: Vite 5.0 +- **样式**: TailwindCSS 3.3 +- **路由**: React Router 6.20 +- **HTTP 客户端**: Axios 1.6 +- **Markdown 渲染**: react-markdown 9.0 +- **图标**: lucide-react +- **日期处理**: date-fns 3.0 + +## 功能特性 + +### 🔐 用户认证 +- 简单的用户名/密码登录 +- 自动 session 管理 +- 路由守卫保护 + +### 💬 会话管理 +- 创建新对话 +- 查看所有会话列表 +- 切换不同会话 +- 删除会话 +- 会话状态显示（活跃/暂停/完成） + +### 🤖 智能对话 +- 实时消息发送和接收 +- Markdown 格式支持 +- 代码高亮显示 +- 思考过程展示 +- 工具调用可视化 +- 消息历史记录 +- 自动滚动到最新消息 + +### 🎨 用户界面 +- 现代化设计 +- 响应式布局 +- 优雅的动画效果 +- 自定义滚动条 +- 自适应输入框 +- 加载状态提示 + +## 项目结构 + +``` +frontend/ +├── public/ # 静态资源 +├── src/ +│ ├── components/ # React 组件 +│ │ ├── Login.tsx # 登录页面 +│ │ ├── SessionList.tsx # 会话列表 +│ │ ├── Chat.tsx # 聊天界面 +│ │ └── Message.tsx # 消息展示 +│ ├── services/ # API 服务 +│ │ └── api.ts # API 客户端 +│ ├── types/ # TypeScript 类型 +│ │ └── index.ts # 类型定义 +│ ├── App.tsx # 主应用 +│ ├── main.tsx # 入口文件 +│ ├── index.css # 全局样式 +│ └── vite-env.d.ts # Vite 类型声明 +├── index.html # HTML 模板 +├── package.json # 依赖配置 +├── tsconfig.json # TypeScript 配置 +├── vite.config.ts # Vite 配置 +├── tailwind.config.js # Tailwind 配置 +├── postcss.config.js # PostCSS 配置 +└── README.md # 项目文档 +``` + +## 快速开始 + +### 1. 安装依赖 + +```bash +cd frontend +npm install +``` + +### 2. 启动开发服务器 + +```bash +npm run dev +``` + +前端将运行在 http://localhost:3000 + +### 3. 构建生产版本 + +```bash +npm run build +``` + +构建产物将输出到 `dist/` 目录。 + +### 4. 预览生产版本 + +```bash +npm run preview +``` + +## API 配置 + +前端通过 Vite 代理连接后端 API： + +```typescript +// vite.config.ts +export default defineConfig({ + server: { + port: 3000, + proxy: { + '/api': { + target: 'http://localhost:8000', + changeOrigin: true, + } + } + } +}) +``` + +如果后端运行在不同的地址，请修改 `target` 配置。 + +## 组件说明 + +### Login 组件 + +用户登录界面，包含： +- 用户名输入 +- 密码输入 +- 错误提示 +- 加载状态 + +**路径**: `src/components/Login.tsx` + +### SessionList 组件 + +会话列表侧边栏，包含： +- 创建新会话按钮 +- 会话列表展示 +- 会话状态标签 +- 删除会话功能 +- 退出登录按钮 + +**路径**: `src/components/SessionList.tsx` + +### Chat 组件 + +主聊天界面，包含： +- 消息历史展示 +- 流式响应支持 +- 消息输入框 +- 发送按钮 +- 错误提示 +- 加载状态 + +**路径**: `src/components/Chat.tsx` + +### Message 组件 + +单个消息展示，包含： +- 用户消息样式 +- AI 消息样式 +- Markdown 渲染 +- 代码高亮 +- 时间戳 +- 思考块展示 +- 工具调用展示 + +**路径**: `src/components/Message.tsx` + +## API 服务层 + +`src/services/api.ts` 提供了完整的 API 封装： + +### 认证 API +- `login(username, password)` - 用户登录 + +### 会话 API +- `createSession()` - 创建新会话 +- `getSessions()` - 获取会话列表 +- `getSessionHistory(chatSessionId)` - 获取会话历史 +- `deleteSession(chatSessionId)` - 删除会话 + +### 对话 API +- `sendMessage(chatSessionId, message)` - 发送消息 +- `sendMessageStream(...)` - 流式发送消息（预留接口） + +## 类型系统 + +所有类型定义在 `src/types/index.ts`： + +- `Session` - 会话类型 +- `Message` - 消息类型 +- `MessageRole` - 消息角色枚举 +- `SessionStatus` - 会话状态枚举 +- `ContentBlock` - 内容块类型（文本/工具/思考） + +## 样式系统 + +### TailwindCSS + +使用 Tailwind 的实用类进行样式开发： + +```tsx +
+ ... +
+``` + +### 主题颜色 + +```javascript +// tailwind.config.js +theme: { + extend: { + colors: { + primary: { + 50: '#f0f9ff', + // ... + 900: '#0c4a6e', + } + } + } +} +``` + +### 自定义样式 + +全局样式在 `src/index.css` 中定义： +- 滚动条样式 +- Markdown 样式 +- 代码块样式 +- 表格样式 + +## 开发规范 + +### TypeScript + +- 所有组件使用 TypeScript +- 为所有 props 定义接口 +- 使用严格模式 + +### 组件规范 + +- 使用函数组件和 Hooks +- 组件文件名使用 PascalCase +- 一个文件一个组件（除非是紧密相关的小组件） + +### 代码风格 + +- 使用 ESLint 进行代码检查 +- 遵循 React Hooks 规则 +- 避免不必要的重渲染 + +```bash +# 运行 ESLint +npm run lint +``` + +## 常见问题 + +### 1. 如何修改 API 地址？ + +编辑 `vite.config.ts` 中的 proxy 配置： + +```typescript +proxy: { + '/api': { + target: 'http://your-backend-url', + changeOrigin: true, + } +} +``` + +### 2. 如何添加新的路由？ + +在 `src/App.tsx` 中添加新路由： + +```tsx +} /> +``` + +### 3. 如何自定义主题颜色？ + +编辑 `tailwind.config.js` 中的颜色配置。 + +### 4. 如何处理跨域问题？ + +开发环境使用 Vite 代理解决跨域。生产环境需要后端配置 CORS。 + +## 性能优化 + +- 使用 React.memo 避免不必要的重渲染 +- 使用 useCallback 和 useMemo 优化性能 +- 消息列表虚拟化（如果消息数量很大） +- 图片懒加载 +- 代码分割和路由懒加载 + +## 部署 + +### 构建生产版本 + +```bash +npm run build +``` + +### 部署到静态服务器 + +将 `dist/` 目录部署到任何静态服务器： +- Nginx +- Apache +- Vercel +- Netlify +- GitHub Pages + +### Nginx 配置示例 + +```nginx +server { + listen 80; + server_name yourdomain.com; + root /path/to/dist; + index index.html; + + location / { + try_files $uri $uri/ /index.html; + } + + location /api { + proxy_pass http://localhost:8000; + proxy_set_header Host $host; + proxy_set_header X-Real-IP $remote_addr; + } +} +``` + +## 浏览器支持 + +- Chrome (最新版本) +- Firefox (最新版本) +- Safari (最新版本) +- Edge (最新版本) + +## 许可证 + +MIT License + +## 相关链接 + +- [后端 API 文档](../backend/README.md) +- [项目主文档](../README.md) +- [React 官方文档](https://react.dev/) +- [Vite 官方文档](https://vitejs.dev/) +- [TailwindCSS 官方文档](https://tailwindcss.com/) diff --git a/frontend/index.html b/frontend/index.html new file mode 100644 index 0000000..2d74d39 --- /dev/null +++ b/frontend/index.html @@ -0,0 +1,13 @@ + + + + + + + Mini Agent - 智能对话助手 + + +
+ + + diff --git a/frontend/package.json b/frontend/package.json new file mode 100644 index 0000000..447a293 --- /dev/null +++ b/frontend/package.json @@ -0,0 +1,37 @@ +{ + "name": "mini-agent-frontend", + "private": true, + "version": "0.1.0", + "type": "module", + "scripts": { + "dev": "vite", + "build": "tsc && vite build", + "preview": "vite preview", + "lint": "eslint . --ext ts,tsx --report-unused-disable-directives --max-warnings 0" + }, + "dependencies": { + "react": "^18.2.0", + "react-dom": "^18.2.0", + "react-router-dom": "^6.20.1", + "axios": "^1.6.2", + "react-markdown": "^9.0.1", + "remark-gfm": "^4.0.0", + "lucide-react": "^0.294.0", + "date-fns": "^3.0.0" + }, + "devDependencies": { + "@types/react": "^18.2.43", + "@types/react-dom": "^18.2.17", + "@typescript-eslint/eslint-plugin": "^6.14.0", + "@typescript-eslint/parser": "^6.14.0", + "@vitejs/plugin-react": "^4.2.1", + "autoprefixer": "^10.4.16", + "eslint": "^8.55.0", + "eslint-plugin-react-hooks": "^4.6.0", + "eslint-plugin-react-refresh": "^0.4.5", + "postcss": "^8.4.32", + "tailwindcss": "^3.3.6", + "typescript": "^5.2.2", + "vite": "^5.0.8" + } +} diff --git a/frontend/postcss.config.js b/frontend/postcss.config.js new file mode 100644 index 0000000..2e7af2b --- /dev/null +++ b/frontend/postcss.config.js @@ -0,0 +1,6 @@ +export default { + plugins: { + tailwindcss: {}, + autoprefixer: {}, + }, +} diff --git a/frontend/src/App.tsx b/frontend/src/App.tsx new file mode 100644 index 0000000..2cf19a5 --- /dev/null +++ b/frontend/src/App.tsx @@ -0,0 +1,53 @@ +import { useState } from 'react'; +import { BrowserRouter, Routes, Route, Navigate } from 'react-router-dom'; +import { Login } from './components/Login'; +import { SessionList } from './components/SessionList'; +import { Chat } from './components/Chat'; +import { apiService } from './services/api'; + +// 主页面组件 +function HomePage() { + const [currentSessionId, setCurrentSessionId] = useState(''); + + return ( +
+ + +
+ ); +} + +// 路由守卫组件 +function ProtectedRoute({ children }: { children: React.ReactNode }) { + const isAuthenticated = !!apiService.getSessionId(); + + if (!isAuthenticated) { + return ; + } + + return <>{children}; +} + +function App() { + return ( + + + } /> + + + + } + /> + } /> + + + ); +} + +export default App; diff --git a/frontend/src/components/Chat.tsx b/frontend/src/components/Chat.tsx new file mode 100644 index 0000000..a1149d8 --- /dev/null +++ b/frontend/src/components/Chat.tsx @@ -0,0 +1,226 @@ +import { useEffect, useState, useRef } from 'react'; +import { apiService } from '../services/api'; +import { Message as MessageType, MessageRole } from '../types'; +import { Message, ThinkingBlock, ToolUseBlock } from './Message'; +import { Send, Loader2, AlertCircle, MessageSquare } from 'lucide-react'; + +interface ChatProps { + sessionId: string; +} + +export function Chat({ sessionId }: ChatProps) { + const [messages, setMessages] = useState([]); + const [input, setInput] = useState(''); + const [loading, setLoading] = useState(false); + const [sending, setSending] = useState(false); + const [error, setError] = useState(''); + + // 流式响应状态 + const [streamingText, setStreamingText] = useState(''); + const [streamingThinking, setStreamingThinking] = useState(''); + const [streamingTools, setStreamingTools] = useState }>>([]); + + const messagesEndRef = useRef(null); + const textareaRef = useRef(null); + + useEffect(() => { + if (sessionId) { + loadMessages(); + } + }, [sessionId]); + + useEffect(() => { + scrollToBottom(); + }, [messages, streamingText, streamingThinking, streamingTools]); + + const scrollToBottom = () => { + messagesEndRef.current?.scrollIntoView({ behavior: 'smooth' }); + }; + + const loadMessages = async () => { + setLoading(true); + setError(''); + try { + const response = await apiService.getSessionHistory(sessionId); + setMessages(response.messages); + } catch (err) { + console.error('Failed to load messages:', err); + setError('加载消息失败'); + } finally { + setLoading(false); + } + }; + + const handleSend = async () => { + if (!input.trim() || sending) return; + + const userMessage = input.trim(); + setInput(''); + setSending(true); + setError(''); + + // 清空流式状态 + setStreamingText(''); + setStreamingThinking(''); + setStreamingTools([]); + + // 立即添加用户消息到界面 + const tempUserMessage: MessageType = { + id: `temp-${Date.now()}`, + session_id: sessionId, + role: MessageRole.USER, + content: userMessage, + created_at: new Date().toISOString(), + }; + setMessages((prev) => [...prev, tempUserMessage]); + + try { + // 使用普通请求（因为流式响应需要特殊处理） + const response = await apiService.sendMessage(sessionId, userMessage); + + // 添加助手响应 + const assistantMessage: MessageType = { + id: `temp-assistant-${Date.now()}`, + session_id: sessionId, + role: MessageRole.ASSISTANT, + content: response.response, + created_at: new Date().toISOString(), + }; + + setMessages((prev) => [...prev, assistantMessage]); + + } catch (err) { + console.error('Failed to send message:', err); + setError('发送消息失败，请重试'); + // 移除临时用户消息 + setMessages((prev) => prev.filter((m) => m.id !== tempUserMessage.id)); + } finally { + setSending(false); + } + }; + + const handleKeyDown = (e: React.KeyboardEvent) => { + if (e.key === 'Enter' && !e.shiftKey) { + e.preventDefault(); + handleSend(); + } + }; + + // 自动调整 textarea 高度 + useEffect(() => { + if (textareaRef.current) { + textareaRef.current.style.height = 'auto'; + textareaRef.current.style.height = `${textareaRef.current.scrollHeight}px`; + } + }, [input]); + + if (!sessionId) { + return ( +
+
+ +

请选择或创建一个对话

+
+
+ ); + } + + return ( +
+ {/* Messages Area */} +
+ {loading ? ( +
+ +
+ ) : messages.length === 0 && !streamingText ? ( +
+
+ +

开始新的对话

+

向 Mini Agent 提问任何问题

+
+
+ ) : ( +
+ {messages.map((message) => ( + + ))} + + {/* 流式响应显示 */} + {sending && ( +
+
+ +
+
+ {streamingThinking && ( + + )} + {streamingTools.map((tool, idx) => ( + + ))} + {streamingText && ( +
+
+ {streamingText} +
+
+ )} +
+
+ )} + +
+
+ )} +
+ + {/* Error Message */} + {error && ( +
+
+ + {error} +
+
+ )} + + {/* Input Area */} +
+
+
+