Claude Code Router 相关模型配置详解

2025年10月16日

Claude Code Router 相关模型配置详解

Claude Code Router 是一个智能路由系统，能够根据不同的任务场景自动选择最适合的 AI 模型。合理配置和选择路由类型，可以大幅提升 Claude Code 在各种需求下的效率和性价比。

各路由类型和适用场景

路由类型	适合的任务场景	典型模型推荐	特点说明
default	日常对话、一般性代码建议、AI 助手、总结和常规问答	DeepSeek Chat、Claude Sonnet	中等速度、性价比高
think	复杂推理、数学题、深度分析、需要高准确性和高智能的任务	DeepSeek Reasoner、Claude Opus	运算/推理能力更强，成本较高
longContext	长文本总结、论文解析、项目大文档、历史对话追溯	Gemini 2.5 Pro、Claude 3.7 Sonnet	支持特大 token，慢速高价
background	批量代码生成、夜间/离线处理、自动脚本、无需及时反馈的任务	Qwen2.5 Coder、本地模型	低成本高吞吐，无需交互
webSearch	涉及联网、时效性信息查询、新闻总结、AI 搜索型答问	Gemini-Flash、OpenRouter	快速检索外部信息，低延迟

详细配置说明

1. Default 路由 - 日常通用型

适用场景：

日常编程对话
简单代码审查和建议
常规问题解答
文档总结和整理

配置建议：

Ctrl+C 复制 Ctrl+S 导出

{<span class="line"> </span>
<span class="line"> </span>  "route": "default",<span class="line"> </span>
<span class="line"> </span>  "models": ["deepseek-chat", "claude-sonnet"],<span class="line"> </span>
<span class="line"> </span>  "priority": "cost_efficiency",<span class="line"> </span>
<span class="line"> </span>  "max_tokens": 4000,<span class="line"> </span>
<span class="line"> </span>  "timeout": 30<span class="line"> </span>
<span class="line"> </span>}

7 行

优势：

响应速度快
成本相对较低
适合大多数日常使用场景
性能和成本平衡良好

2. Think 路由 - 深度思考型

适用场景：

复杂算法设计
数学问题求解
深度代码分析
逻辑推理任务

触发条件：

当 prompt 中出现”分析”、“推理”、“复杂理解”等关键词
子代理请求标记为 think 类型
用户明确指定需要深度思考

配置建议：

Ctrl+C 复制 Ctrl+S 导出

{<span class="line"> </span>
<span class="line"> </span>  "route": "think",<span class="line"> </span>
<span class="line"> </span>  "models": ["deepseek-reasoner", "claude-opus"],<span class="line"> </span>
<span class="line"> </span>  "priority": "accuracy",<span class="line"> </span>
<span class="line"> </span>  "max_tokens": 8000,<span class="line"> </span>
<span class="line"> </span>  "timeout": 120,<span class="line"> </span>
<span class="line"> </span>  "temperature": 0.1<span class="line"> </span>
<span class="line"> </span>}

8 行

特点：

推理能力更强
准确性更高
成本相对较高
适合需要深度思考的任务

3. LongContext 路由 - 长文本处理型

适用场景：

大型项目代码分析
长篇文档总结
历史对话追溯
论文和研究材料解析

自动触发条件：

输入 token 数超过 60,000
需要处理超长上下文
涉及大量历史信息

配置建议：

Ctrl+C 复制 Ctrl+S 导出

{<span class="line"> </span>
<span class="line"> </span>  "route": "longContext",<span class="line"> </span>
<span class="line"> </span>  "models": ["gemini-2.5-pro", "claude-3.7-sonnet"],<span class="line"> </span>
<span class="line"> </span>  "priority": "context_length",<span class="line"> </span>
<span class="line"> </span>  "max_tokens": 200000,<span class="line"> </span>
<span class="line"> </span>  "timeout": 300,<span class="line"> </span>
<span class="line"> </span>  "chunking": true<span class="line"> </span>
<span class="line"> </span>}

8 行

优势：

支持超长上下文处理
适合大型项目分析
能够处理复杂的文档任务

4. Background 路由 - 后台任务型

适用场景：

批量代码生成
夜间自动化任务
大规模重构工作
不需要即时反馈的处理

配置建议：

Ctrl+C 复制 Ctrl+S 导出

{<span class="line"> </span>
<span class="line"> </span>  "route": "background",<span class="line"> </span>
<span class="line"> </span>  "models": ["qwen2.5-coder", "local-models"],<span class="line"> </span>
<span class="line"> </span>  "priority": "throughput",<span class="line"> </span>
<span class="line"> </span>  "max_tokens": 16000,<span class="line"> </span>
<span class="line"> </span>  "timeout": 1800,<span class="line"> </span>
<span class="line"> </span>  "async": true,<span class="line"> </span>
<span class="line"> </span>  "batch_size": 10<span class="line"> </span>
<span class="line"> </span>}

9 行

特点：

低成本高吞吐量
适合批量处理
无需实时交互
可以充分利用低谷时段资源

5. WebSearch 路由 - 网络搜索型

适用场景：

实时信息查询
新闻和时事总结
技术文档搜索
需要外部知识的任务

自动触发条件：

检测到时间敏感信息需求
涉及最新技术或事件
明确的网络搜索请求

配置建议：

Ctrl+C 复制 Ctrl+S 导出

{<span class="line"> </span>
<span class="line"> </span>  "route": "webSearch",<span class="line"> </span>
<span class="line"> </span>  "models": ["gemini-flash", "openrouter"],<span class="line"> </span>
<span class="line"> </span>  "priority": "speed",<span class="line"> </span>
<span class="line"> </span>  "max_tokens": 2000,<span class="line"> </span>
<span class="line"> </span>  "timeout": 15,<span class="line"> </span>
<span class="line"> </span>  "search_integration": true,<span class="line"> </span>
<span class="line"> </span>  "cache_results": true<span class="line"> </span>
<span class="line"> </span>}

9 行

优势：

快速获取外部信息
低延迟响应
适合时效性强的任务
自动整合网络搜索结果

场景建议与最佳实践

1. 路由选择策略

Default 路由：作为兜底路由，处理所有未分类的请求，确保系统的稳定性和可靠性。

智能路由切换：

根据 token 数量自动判断是否使用 longContext
通过关键词识别自动切换到 think 路由
检测时间敏感信息自动启用 webSearch

优先级设置：

特定场景路由（think、longContext、webSearch）
任务类型路由（background）
默认路由（default）

2. 成本优化建议

预算控制：

为不同路由设置不同的预算限制
优先使用成本效益更高的模型
合理设置 token 限制

性能优化：

根据任务复杂度选择合适的模型
避免过度使用高成本路由
合理配置超时时间

3. 实际应用示例

开发场景：

Ctrl+C 复制 Ctrl+S 导出

// 日常代码建议 - 使用 default 路由<span class="line"> </span>
<span class="line"> </span>const refactorCode = (code) => {<span class="line"> </span>
<span class="line"> </span>  // 自动路由到 default，使用 Claude Sonnet<span class="line"> </span>
<span class="line"> </span>  return generateRefactoringSuggestions(code);<span class="line"> </span>
<span class="line"> </span>};<span class="line"> </span>
<span class="line"> </span><span class="line"> </span>
<span class="line"> </span>// 复杂算法设计 - 自动触发 think 路由<span class="line"> </span>
<span class="line"> </span>const designAlgorithm = (requirements) => {<span class="line"> </span>
<span class="line"> </span>  // 检测到"设计"、"复杂"等关键词，路由到 think<span class="line"> </span>
<span class="line"> </span>  return generateComplexAlgorithm(requirements);<span class="line"> </span>
<span class="line"> </span>};<span class="line"> </span>
<span class="line"> </span><span class="line"> </span>
<span class="line"> </span>// 大项目分析 - 自动切换到 longContext<span class="line"> </span>
<span class="line"> </span>const analyzeProject = (projectPath) => {<span class="line"> </span>
<span class="line"> </span>  // token 数超过阈值，自动使用 longContext 路由<span class="line"> </span>
<span class="line"> </span>  return performDeepAnalysis(projectPath);<span class="line"> </span>
<span class="line"> </span>};

17 行

自动化任务：

Ctrl+C 复制 Ctrl+S 导出

// 批量处理 - 使用 background 路由<span class="line"> </span>
<span class="line"> </span>const batchProcess = async (tasks) => {<span class="line"> </span>
<span class="line"> </span>  // 异步处理，不阻塞主流程<span class="line"> </span>
<span class="line"> </span>  return processInBackground(tasks);<span class="line"> </span>
<span class="line"> </span>};<span class="line"> </span>
<span class="line"> </span><span class="line"> </span>
<span class="line"> </span>// 实时信息查询 - 使用 webSearch 路由<span class="line"> </span>
<span class="line"> </span>const getLatestInfo = async (query) => {<span class="line"> </span>
<span class="line"> </span>  // 自动搜索最新信息<span class="line"> </span>
<span class="line"> </span>  return searchWeb(query);<span class="line"> </span>
<span class="line"> </span>};

11 行

配置文件示例

完整的路由配置示例：

Ctrl+C 复制 Ctrl+S 导出

{<span class="line"> </span>
<span class="line"> </span>  "router": {<span class="line"> </span>
<span class="line"> </span>    "default": {<span class="line"> </span>
<span class="line"> </span>      "model": "claude-sonnet",<span class="line"> </span>
<span class="line"> </span>      "max_tokens": 4000,<span class="line"> </span>
<span class="line"> </span>      "temperature": 0.7,<span class="line"> </span>
<span class="line"> </span>      "timeout": 30<span class="line"> </span>
<span class="line"> </span>    },<span class="line"> </span>
<span class="line"> </span>    "routes": {<span class="line"> </span>
<span class="line"> </span>      "think": {<span class="line"> </span>
<span class="line"> </span>        "trigger_keywords": ["分析", "推理", "复杂", "深度"],<span class="line"> </span>
<span class="line"> </span>        "model": "claude-opus",<span class="line"> </span>
<span class="line"> </span>        "max_tokens": 8000,<span class="line"> </span>
<span class="line"> </span>        "temperature": 0.1,<span class="line"> </span>
<span class="line"> </span>        "timeout": 120<span class="line"> </span>
<span class="line"> </span>      },<span class="line"> </span>
<span class="line"> </span>      "longContext": {<span class="line"> </span>
<span class="line"> </span>        "token_threshold": 60000,<span class="line"> </span>
<span class="line"> </span>        "model": "gemini-2.5-pro",<span class="line"> </span>
<span class="line"> </span>        "max_tokens": 200000,<span class="line"> </span>
<span class="line"> </span>        "timeout": 300<span class="line"> </span>
<span class="line"> </span>      },<span class="line"> </span>
<span class="line"> </span>      "background": {<span class="line"> </span>
<span class="line"> </span>        "async": true,<span class="line"> </span>
<span class="line"> </span>        "model": "qwen2.5-coder",<span class="line"> </span>
<span class="line"> </span>        "batch_size": 10,<span class="line"> </span>
<span class="line"> </span>        "timeout": 1800<span class="line"> </span>
<span class="line"> </span>      },<span class="line"> </span>
<span class="line"> </span>      "webSearch": {<span class="line"> </span>
<span class="line"> </span>        "time_sensitive": true,<span class="line"> </span>
<span class="line"> </span>        "model": "gemini-flash",<span class="line"> </span>
<span class="line"> </span>        "search_enabled": true,<span class="line"> </span>
<span class="line"> </span>        "timeout": 15<span class="line"> </span>
<span class="line"> </span>      }<span class="line"> </span>
<span class="line"> </span>    }<span class="line"> </span>
<span class="line"> </span>  }<span class="line"> </span>
<span class="line"> </span>}

37 行

总结

Claude Code Router 的智能路由系统为不同类型的任务提供了最优的模型选择方案：

合理配置路由：根据具体需求选择合适的路由类型
成本效益平衡：在性能和成本之间找到最佳平衡点
自动化优化：利用自动触发条件减少手动配置
监控和调整：定期评估路由效果并优化配置

通过合理配置这些路由类型，可以显著提升 Claude Code 在各种开发场景下的效率和用户体验，同时控制成本并提高响应质量。

参考资源：