feat(api): 支持通过路径段指定MODEL_PROVIDER并优化系统提示词提取逻辑
本次提交主要包含以下变更： 1. 在API服务器中新增通过URL路径段自动识别和切换MODEL_PROVIDER的功能，提升接口灵活性 2. 重构各提供商策略中的系统提示词提取逻辑，统一使用common.js中新增的extractSystemPromptFromRequestBody工具函数，提高代码复用性和维护性 3. 更新README文档，完善架构设计模式说明、数据流处理流程以及多模态内容和不同提供商的使用示例
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69
README-EN.md
69
README-EN.md
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@ -54,19 +54,36 @@ Leaving behind the simple structure of the past, we have introduced a more profe
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* Stores shared constants, utility functions, and common handlers for the project, making the code cleaner and more efficient.
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* **`src/gemini/`, `src/openai/`, `src/claude/`**: 📦 **Provider Implementation Directories**
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* Each directory contains the core logic, API calls, and strategy implementations for the corresponding service provider, with a clear structure that makes it easy for you to add more new service providers in the future. Among them, `src/openai/openai-kiro.js` provides a special implementation for the Kiro API.
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* Each directory contains the core logic, API calls, and strategy implementations for the corresponding service provider, with a clear structure that makes it easy for you to add more new service providers in the future. Among them, `src/claude/claude-kiro.js` provides a special implementation for the Kiro API.
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* **`tests/`**: 🧪 **Test Directory**
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* Contains a complete integration test suite covering all API endpoints, authentication methods, and error handling scenarios to ensure project stability and reliability.
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---
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### 🏗️ Architecture Design Patterns
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The project adopts multiple modern design patterns to ensure code maintainability and extensibility:
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* **Adapter Pattern**: `src/adapter.js` provides a unified interface for different AI services
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* **Strategy Pattern**: `src/provider-strategies.js` handles request/response conversion for different protocols
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* **Factory Pattern**: Dynamically creates and manages service adapter instances
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* **Singleton Pattern**: Caching and reusing service adapter instances
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### 🔄 Data Flow Processing
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1. **Request Reception**: HTTP server receives client requests
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2. **Authentication Verification**: Unified verification of multiple authentication methods
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3. **Protocol Recognition**: Identifies client protocol based on endpoint and request headers
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4. **Format Conversion**: Converts requests to target provider format
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5. **Service Call**: Calls specific AI service through adapter
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6. **Response Conversion**: Converts service response back to client expected format
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7. **Streaming Processing**: Supports real-time streaming response transmission
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### 🔧 Usage Instructions
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* **MCP Support**: While the built-in command functions of the original Gemini CLI are not available, this project perfectly supports MCP (Model Context Protocol) and can work with MCP-compatible clients for more powerful functionality extensions.
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* **Multimodal Capabilities**: Supports multimodal inputs such as images and documents, providing you with a richer interactive experience.
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* **Latest Model Support**: Supports the latest **Kimi K2** and **GLM-4.5** models. Simply configure the corresponding OpenAI or Claude compatible interfaces in `config.json` to use them.
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* **Kiro API**: Using Kiro API requires [Download Kiro client](https://aibook.ren/archives/kiro-install) and completing authorized login to generate kiro-auth-token.json. **Recommended for use with Claude Code for the best experience**. .
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* **Kiro API**: Using Kiro API requires [Download Kiro client](https://aibook.ren/archives/kiro-install) and completing authorized login to generate kiro-auth-token.json. **Recommended for use with Claude Code for the best experience**.
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---
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@ -81,9 +98,19 @@ Leaving behind the simple structure of the past, we have introduced a more profe
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#### OpenAI Compatible Interface (`/v1/...`)
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* 🌍 **Perfect Compatibility**: Implements the core `/v1/models` and `/v1/chat/completions` endpoints.
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* 🔄 **Automatic Format Conversion**: Internally and seamlessly converts requests/responses between different model formats and the OpenAI format.
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* 🔄 **Automatic Format Conversion**: Internally and seamlessly converts requests/responses between different model formats and the OpenAI format, supporting multimodal content.
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* 💨 **Streaming Support**: Fully supports OpenAI's streaming responses (`"stream": true`), providing a typewriter-like real-time experience.
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#### Gemini Native Interface (`/v1beta/...`)
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* 🎯 **Native Support**: Complete support for Gemini API's native format and features.
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* 🔧 **Advanced Features**: Supports system instructions, tool calls, multimodal input and other advanced features.
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* 📊 **Detailed Statistics**: Provides complete token usage statistics and model information.
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#### Claude Native Interface (`/v1/messages`)
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* 🤖 **Claude Dedicated**: Complete support for Claude Messages API format.
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* 🛠️ **Tool Integration**: Supports Claude's tool usage and function calling features.
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* 🎨 **Multimodal**: Supports images, audio and other input formats.
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---
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## 📦 Installation Guide
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@ -206,6 +233,40 @@ All requests use the standard OpenAI format.
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]
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}'
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```
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* **Multimodal Content Generation**
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```bash
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curl http://localhost:3000/v1/chat/completions \
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-H "Content-Type: application/json" \
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-H "Authorization: Bearer 123456" \
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-d '{
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"model": "gemini-2.5-flash",
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"messages": [
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{
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"role": "user",
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"content": [
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{"type": "text", "text": "Describe this image"},
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{"type": "image_url", "image_url": {"url": "data:image/jpeg;base64,..."}}
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]
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}
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]
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}'
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```
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* **Using Different Providers (via Path)**
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```bash
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# Using Gemini
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curl http://localhost:3000/gemini-cli-oauth/v1/chat/completions \
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-H "Content-Type: application/json" \
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-H "Authorization: Bearer 123456" \
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-d '{"model": "gemini-2.5-flash", "messages": [{"role": "user", "content": "Hello"}]}'
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# Using Claude
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curl http://localhost:3000/claude-custom/v1/chat/completions \
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-H "Content-Type: application/json" \
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-H "Authorization: Bearer 123456" \
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-d '{"model": "claude-3-opus-20240229", "messages": [{"role": "user", "content": "Hello"}]}'
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```
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* **Stream Generate Content**
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```bash
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curl http://localhost:3000/v1/chat/completions \
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69
README.md
69
README.md
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@ -54,10 +54,29 @@
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* 存放着项目共享的常量、工具函数和通用处理器，让代码更加整洁和高效。
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* **`src/gemini/`, `src/openai/`, `src/claude/`**: 📦 **提供商实现目录**
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* 每个目录都包含了对应服务商的核心逻辑、API 调用和策略实现，结构清晰，便于您未来添加更多新的服务商。其中 `src/openai/openai-kiro.js` 提供了 Kiro API 的特殊实现。
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* 每个目录都包含了对应服务商的核心逻辑、API 调用和策略实现，结构清晰，便于您未来添加更多新的服务商。其中 `src/claude/claude-kiro.js` 提供了 Kiro API 的特殊实现。
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* **`tests/`**: 🧪 **测试目录**
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* 包含完整的集成测试套件，覆盖所有API端点、认证方式和错误处理场景，确保项目的稳定性和可靠性。
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* 包含完整的集成测试套件，覆盖所有API端点、认证方式和错误处理场景，确保项目的稳定性和可靠性。支持针对不同提供商的独立测试和完整的HTTP集成测试。
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### 🏗️ 架构设计模式
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项目采用多种现代设计模式，确保代码的可维护性和扩展性：
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* **适配器模式 (Adapter Pattern)**: `src/adapter.js` 为不同的 AI 服务提供统一接口
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* **策略模式 (Strategy Pattern)**: `src/provider-strategies.js` 处理不同协议的请求/响应转换
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* **工厂模式 (Factory Pattern)**: 动态创建和管理服务适配器实例
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* **单例模式 (Singleton Pattern)**: 服务适配器实例的缓存和复用
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### 🔄 数据流处理
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1. **请求接收**: HTTP 服务器接收客户端请求
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2. **认证验证**: 多种认证方式的统一验证
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3. **协议识别**: 根据端点和请求头识别客户端协议
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4. **格式转换**: 将请求转换为目标提供商格式
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5. **服务调用**: 通过适配器调用具体的 AI 服务
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6. **响应转换**: 将服务响应转换回客户端期望格式
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7. **流式处理**: 支持实时流式响应传输
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---
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@ -81,9 +100,19 @@
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#### OpenAI 兼容接口 (`/v1/...`)
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* 🌍 **完美兼容**: 实现了 `/v1/models` 和 `/v1/chat/completions` 核心端点。
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* 🔄 **自动格式转换**: 在内部自动将不同模型的请求/响应与 OpenAI 格式进行无缝转换。
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* 🔄 **自动格式转换**: 在内部自动将不同模型的请求/响应与 OpenAI 格式进行无缝转换，支持多模态内容。
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* 💨 **流式传输支持**: 完全支持 OpenAI 的流式响应 (`"stream": true`)，提供打字机般的实时体验。
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#### Gemini 原生接口 (`/v1beta/...`)
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* 🎯 **原生支持**: 完整支持 Gemini API 的原生格式和功能。
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* 🔧 **高级功能**: 支持系统指令、工具调用、多模态输入等高级特性。
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* 📊 **详细统计**: 提供完整的 token 使用统计和模型信息。
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#### Claude 原生接口 (`/v1/messages`)
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* 🤖 **Claude 专用**: 完整支持 Claude Messages API 格式。
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* 🛠️ **工具集成**: 支持 Claude 的工具使用和函数调用功能。
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* 🎨 **多模态**: 支持图片、音频等多种输入格式。
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---
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## 📦 安装指南
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@ -206,6 +235,40 @@
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]
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}'
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```
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* **多模态内容生成**
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```bash
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curl http://localhost:3000/v1/chat/completions \
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-H "Content-Type: application/json" \
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-H "Authorization: Bearer 123456" \
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-d '{
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"model": "gemini-2.5-flash",
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"messages": [
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{
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"role": "user",
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"content": [
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{"type": "text", "text": "描述这张图片"},
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{"type": "image_url", "image_url": {"url": "data:image/jpeg;base64,..."}}
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]
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}
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]
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}'
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```
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* **使用不同提供商 (通过路径)**
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```bash
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# 使用 Gemini
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curl http://localhost:3000/gemini-cli-oauth/v1/chat/completions \
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-H "Content-Type: application/json" \
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-H "Authorization: Bearer 123456" \
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-d '{"model": "gemini-2.5-flash", "messages": [{"role": "user", "content": "Hello"}]}'
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# 使用 Claude
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curl http://localhost:3000/claude-custom/v1/chat/completions \
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-H "Content-Type: application/json" \
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-H "Authorization: Bearer 123456" \
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-d '{"model": "claude-3-opus-20240229", "messages": [{"role": "user", "content": "Hello"}]}'
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```
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* **流式生成内容**
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```bash
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curl http://localhost:3000/v1/chat/completions \
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@ -348,14 +348,9 @@ async function getSystemPromptFileContent(filePath) {
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async function initApiService(config) { // Make getApiService exportable and accept config
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// Initialize all known service adapters at startup
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const providers = [
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MODEL_PROVIDER.OPENAI_CUSTOM,
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MODEL_PROVIDER.GEMINI_CLI,
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MODEL_PROVIDER.CLAUDE_CUSTOM,
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MODEL_PROVIDER.KIRO_API
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];
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for (const provider of providers) {
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for (const provider of Object.values(MODEL_PROVIDER)) {
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try {
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console.log(`[Initialization] Initializing service adapter for ${provider}...`);
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getServiceAdapter({ ...config, MODEL_PROVIDER: provider });
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} catch (error) {
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console.warn(`[Initialization Warning] Failed to initialize service adapter for ${provider}: ${error.message}`);
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@ -392,11 +387,29 @@ function createRequestHandler(config) {
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delete req.headers['model-provider'];
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}
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const apiService = await getApiService(currentConfig);
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const requestUrl = new URL(req.url, `http://${req.headers.host}`);
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const path = requestUrl.pathname;
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const method = req.method;
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let path = requestUrl.pathname;
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// Check if the first path segment matches a MODEL_PROVIDER and switch if it does
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const pathSegments = path.split('/').filter(segment => segment.length > 0);
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if (pathSegments.length > 0) {
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const firstSegment = pathSegments[0];
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// Check if firstSegment is a valid MODEL_PROVIDER value
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const isValidProvider = Object.values(MODEL_PROVIDER).includes(firstSegment);
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if (firstSegment && isValidProvider) {
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currentConfig.MODEL_PROVIDER = firstSegment;
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console.log(`[Config] MODEL_PROVIDER overridden by path segment to: ${currentConfig.MODEL_PROVIDER}`);
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// Remove the first segment from the path to maintain routing consistency
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pathSegments.shift();
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path = '/' + pathSegments.join('/');
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// Update the requestUrl pathname as well
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requestUrl.pathname = path;
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} else if (firstSegment && !isValidProvider) {
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console.log(`[Config] Ignoring invalid MODEL_PROVIDER in path segment: ${firstSegment}`);
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}
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}
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const apiService = await getApiService(currentConfig);
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const method = req.method;
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if (method === 'OPTIONS') {
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res.writeHead(200, { 'Content-Type': 'application/json' });
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console.log("OPTIONS REQUEST SUCCESS");
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@ -462,7 +462,7 @@ async initializeAuth(forceRefresh = false) {
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.map(part => part.text)
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.join('');
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}
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return String(message.content || '');
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return String(message.content || message);
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}
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/**
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@ -1,4 +1,5 @@
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import { ProviderStrategy } from '../provider-strategy.js';
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import { extractSystemPromptFromRequestBody, MODEL_PROTOCOL_PREFIX } from '../common.js';
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/**
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* Claude provider strategy implementation.
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@ -51,10 +52,7 @@ class ClaudeStrategy extends ProviderStrategy {
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return requestBody;
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}
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let existingSystemText = '';
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if (requestBody.system) {
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existingSystemText = requestBody.system;
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}
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const existingSystemText = extractSystemPromptFromRequestBody(requestBody, MODEL_PROTOCOL_PREFIX.CLAUDE);
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const newSystemText = config.SYSTEM_PROMPT_MODE === 'append' && existingSystemText
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? `${existingSystemText}\n${filePromptContent}`
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@ -67,14 +65,8 @@ class ClaudeStrategy extends ProviderStrategy {
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}
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async manageSystemPrompt(requestBody) {
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let incomingSystemText = '';
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if (typeof requestBody.system === 'string') {
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incomingSystemText = requestBody.system;
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}
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if (typeof requestBody.system === 'object') {
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incomingSystemText = JSON.stringify(requestBody.system);
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}
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await this._updateSystemPromptFile(incomingSystemText, 'claude');
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const incomingSystemText = extractSystemPromptFromRequestBody(requestBody, MODEL_PROTOCOL_PREFIX.CLAUDE);
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await this._updateSystemPromptFile(incomingSystemText, MODEL_PROTOCOL_PREFIX.CLAUDE);
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}
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}
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@ -475,3 +475,66 @@ export function handleError(res, error) {
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};
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res.end(JSON.stringify(errorPayload));
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}
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/**
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* 从请求体中提取系统提示词。
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* @param {Object} requestBody - 请求体对象。
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* @param {string} provider - 提供商类型（'openai', 'gemini', 'claude'）。
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* @returns {string} 提取到的系统提示词字符串。
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*/
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export function extractSystemPromptFromRequestBody(requestBody, provider) {
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let incomingSystemText = '';
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switch (provider) {
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case MODEL_PROTOCOL_PREFIX.OPENAI:
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const openaiSystemMessage = requestBody.messages?.find(m => m.role === 'system');
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if (openaiSystemMessage?.content) {
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incomingSystemText = openaiSystemMessage.content;
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} else if (requestBody.messages?.length > 0) {
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// Fallback to first user message if no system message
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const userMessage = requestBody.messages.find(m => m.role === 'user');
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if (userMessage) {
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incomingSystemText = userMessage.content;
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}
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}
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break;
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case MODEL_PROTOCOL_PREFIX.GEMINI:
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const geminiSystemInstruction = requestBody.system_instruction || requestBody.systemInstruction;
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if (geminiSystemInstruction?.parts) {
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incomingSystemText = geminiSystemInstruction.parts
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.filter(p => p?.text)
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.map(p => p.text)
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.join('\n');
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} else if (requestBody.contents?.length > 0) {
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// Fallback to first user content if no system instruction
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const userContent = requestBody.contents[0];
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if (userContent?.parts) {
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incomingSystemText = userContent.parts
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.filter(p => p?.text)
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.map(p => p.text)
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.join('\n');
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}
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}
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break;
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case MODEL_PROTOCOL_PREFIX.CLAUDE:
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if (typeof requestBody.system === 'string') {
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incomingSystemText = requestBody.system;
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} else if (typeof requestBody.system === 'object') {
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incomingSystemText = JSON.stringify(requestBody.system);
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} else if (requestBody.messages?.length > 0) {
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// Fallback to first user message if no system property
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const userMessage = requestBody.messages.find(m => m.role === 'user');
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if (userMessage) {
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if (Array.isArray(userMessage.content)) {
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incomingSystemText = userMessage.content.map(block => block.text).join('');
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} else {
|
||||
incomingSystemText = userMessage.content;
|
||||
}
|
||||
}
|
||||
}
|
||||
break;
|
||||
default:
|
||||
console.warn(`[System Prompt] Unknown provider: ${provider}`);
|
||||
break;
|
||||
}
|
||||
return incomingSystemText;
|
||||
}
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
import { API_ACTIONS } from '../common.js';
|
||||
import { API_ACTIONS, extractSystemPromptFromRequestBody, MODEL_PROTOCOL_PREFIX } from '../common.js';
|
||||
import { ProviderStrategy } from '../provider-strategy.js';
|
||||
|
||||
/**
|
||||
|
|
@ -46,14 +46,7 @@ class GeminiStrategy extends ProviderStrategy {
|
|||
return requestBody;
|
||||
}
|
||||
|
||||
let existingSystemText = '';
|
||||
const currentSystemInstruction = requestBody.system_instruction || requestBody.systemInstruction;
|
||||
if (currentSystemInstruction?.parts) {
|
||||
existingSystemText = currentSystemInstruction.parts
|
||||
.filter(p => p?.text)
|
||||
.map(p => p.text)
|
||||
.join('\n');
|
||||
}
|
||||
const existingSystemText = extractSystemPromptFromRequestBody(requestBody, MODEL_PROTOCOL_PREFIX.GEMINI);
|
||||
|
||||
const newSystemText = config.SYSTEM_PROMPT_MODE === 'append' && existingSystemText
|
||||
? `${existingSystemText}\n${filePromptContent}`
|
||||
|
|
@ -69,15 +62,8 @@ class GeminiStrategy extends ProviderStrategy {
|
|||
}
|
||||
|
||||
async manageSystemPrompt(requestBody) {
|
||||
let incomingSystemText = '';
|
||||
const geminiSystemInstruction = requestBody.system_instruction || requestBody.systemInstruction;
|
||||
if (geminiSystemInstruction?.parts) {
|
||||
incomingSystemText = geminiSystemInstruction.parts
|
||||
.filter(p => p?.text)
|
||||
.map(p => p.text)
|
||||
.join('\n');
|
||||
}
|
||||
await this._updateSystemPromptFile(incomingSystemText, 'gemini');
|
||||
const incomingSystemText = extractSystemPromptFromRequestBody(requestBody, MODEL_PROTOCOL_PREFIX.GEMINI);
|
||||
await this._updateSystemPromptFile(incomingSystemText, MODEL_PROTOCOL_PREFIX.GEMINI);
|
||||
}
|
||||
}
|
||||
|
||||
|
|
|
|||
|
|
@ -1,4 +1,5 @@
|
|||
import { ProviderStrategy } from '../provider-strategy.js';
|
||||
import { extractSystemPromptFromRequestBody, MODEL_PROTOCOL_PREFIX } from '../common.js';
|
||||
|
||||
/**
|
||||
* OpenAI provider strategy implementation.
|
||||
|
|
@ -51,11 +52,7 @@ class OpenAIStrategy extends ProviderStrategy {
|
|||
return requestBody;
|
||||
}
|
||||
|
||||
let existingSystemText = '';
|
||||
const systemMessage = requestBody.messages?.find(m => m.role === 'system');
|
||||
if (systemMessage) {
|
||||
existingSystemText = systemMessage.content || '';
|
||||
}
|
||||
const existingSystemText = extractSystemPromptFromRequestBody(requestBody, MODEL_PROTOCOL_PREFIX.OPENAI);
|
||||
|
||||
const newSystemText = config.SYSTEM_PROMPT_MODE === 'append' && existingSystemText
|
||||
? `${existingSystemText}\n${filePromptContent}`
|
||||
|
|
@ -77,15 +74,8 @@ class OpenAIStrategy extends ProviderStrategy {
|
|||
|
||||
async manageSystemPrompt(requestBody) {
|
||||
//console.log('[System Prompt] Managing system prompt for provider "openai".', requestBody);
|
||||
let incomingSystemText = '';
|
||||
const systemMessage = requestBody.messages?.find(m => m.role === 'system');
|
||||
if (systemMessage?.content) {
|
||||
incomingSystemText = systemMessage.content;
|
||||
}
|
||||
if (!incomingSystemText) {
|
||||
incomingSystemText = requestBody.messages.filter(m => m.role === 'user')[0].content;
|
||||
}
|
||||
await this._updateSystemPromptFile(incomingSystemText, 'openai');
|
||||
const incomingSystemText = extractSystemPromptFromRequestBody(requestBody, MODEL_PROTOCOL_PREFIX.OPENAI);
|
||||
await this._updateSystemPromptFile(incomingSystemText, MODEL_PROTOCOL_PREFIX.OPENAI);
|
||||
}
|
||||
}
|
||||
|
||||
|
|
|
|||
Loading…
Reference in a new issue