refactor(remote-agent): 精简代码并删除多余注释

删除了多个文件中的冗余注释和未使用的代码，提高了代码可读性和可维护性。特别是：

- 移除了bug-fix-agent.ts中的内联注释
- 清理了bug-fix-playbook.ts中的格式和多余文档
- 优化了feature-analysis-agent.ts的导入，移除了未使用的generateFeatureAnalysisReport方法

代码整体结构保持不变，只是清理了不必要的实现细节注释和未使用代码。

Author: phodal

packages/remote-agent/src/agents/bug-fix-agent.ts

@@ -86,13 +86,8 @@ export class BugFixAgent extends AIAgent {
    * 适用于简单更改或用户提供具体指令的情况
    */
   private async processDirectFix(userInput: string, startTime: number, context?: any): Promise<BugFixAgentResponse> {
-    // 增强用户输入，添加特定的代码修复指令
     const directFixPrompt = this.bugFixPlaybook.preparePrompt(userInput, context);
-
-    // 使用现有的工具链处理流程，但使用修改后的提示
     const response = await super.processInputWithToolChaining(directFixPrompt, startTime, context) as AgentResponse;
-
-    // 提取有关修改文件的信息
     const modifiedFiles = this.extractModifiedFiles(response.toolResults);
 
     return {
@@ -107,54 +102,41 @@ export class BugFixAgent extends AIAgent {
    * 更彻底的方法，适用于复杂重构
    */
   private async processAnalysisFirstFix(userInput: string, startTime: number, context?: any): Promise<BugFixAgentResponse> {
-    // 阶段 1: 分析阶段
     this.log('阶段 1: 在修复前分析代码库');
     const analysisMessages = await this.bugFixPlaybook.buildMessagesForRound(userInput, context, 1);
 
-    // 调用 LLM 进行分析
     const analysisResponse = await this.callLLM(analysisMessages);
     const parsedAnalysis = FunctionParser.parseResponse(analysisResponse);
 
-    // 执行分析工具
     const analysisResults = await this.toolExecutor.executeToolsWithContext({
       round: 1,
       previousResults: [],
       userInput,
       workspacePath: this.config.workspacePath || process.cwd()
     }, parsedAnalysis.functionCalls);
 
-    // 阶段 2: 修复阶段
     this.log('阶段 2: 基于分析应用代码修复');
     const fixMessages = await this.bugFixPlaybook.buildMessagesForRound(userInput, context, 2);
 
-    // 调用 LLM 创建修复方案
     const fixResponse = await this.callLLM(fixMessages);
     const parsedFix = FunctionParser.parseResponse(fixResponse);
 
-    // 执行修复工具
     const fixResults = await this.toolExecutor.executeToolsWithContext({
       round: 2,
       previousResults: analysisResults,
       userInput,
       workspacePath: this.config.workspacePath || process.cwd()
     }, parsedFix.functionCalls);
 
-    // 组合所有工具结果
     const allToolResults = [...analysisResults, ...fixResults];
 
-    // 阶段 3: 验证（如果启用）
     if (this.bugFixConfig.verifyChanges) {
       this.log('阶段 3: 验证代码修复');
-      const verificationPrompt = this.bugFixPlaybook.prepareVerificationPrompt(userInput, allToolResults);
-
-      // 从 LLM 获取验证响应
       const verificationMessages = await this.bugFixPlaybook.buildMessagesForRound(userInput, context, 3);
       const verificationResponse = await this.callLLM(verificationMessages);
 
-      // 生成最终响应
       const finalText = await this.generateBugFixFinalResponse(userInput, verificationResponse, allToolResults, 3);
 
-      // 提取有关修改文件的信息
       const modifiedFiles = this.extractModifiedFiles(allToolResults);
 
       return {
@@ -168,7 +150,6 @@ export class BugFixAgent extends AIAgent {
       };
     }
 
-    // 如果未启用验证，生成最终响应
     const summaryPrompt = this.bugFixPlaybook.prepareSummaryPrompt(
       userInput,
       allToolResults,
@@ -181,8 +162,6 @@ export class BugFixAgent extends AIAgent {
     ] as CoreMessage[];
 
     const summaryResponse = await this.callLLM(summaryMessages);
-
-    // 提取有关修改文件的信息
     const modifiedFiles = this.extractModifiedFiles(allToolResults);
 
     return {
@@ -196,9 +175,6 @@ export class BugFixAgent extends AIAgent {
     };
   }
 
-  /**
-   * 从工具结果中提取修改的文件列表
-   */
   private extractModifiedFiles(toolResults: ToolResult[]): string[] {
     const modifiedFiles = new Set<string>();
 

packages/remote-agent/src/agents/feature-analysis-agent.ts

@@ -1,83 +1,34 @@
-import { CoreMessage } from "ai";
-import { AIAgent, AgentConfig, AgentResponse } from "../agent";
-import { ToolResult } from "../agent/tool-definition";
+import { AgentConfig, AgentResponse, AIAgent } from "../agent";
 import { FeatureRequestPlaybook } from "../playbooks/feature-request-playbook";
-import { generateText } from "ai";
 
-/**
- * FeatureAnalysisAgent 配置选项
- */
 export interface FeatureAnalysisAgentConfig extends AgentConfig {
-  // 分析策略: 'requirements-first' (默认) 或 'technical-first'
   analysisStrategy?: 'requirements-first' | 'technical-first';
-
-  // 是否生成详细的技术文档
   generateTechnicalDocs?: boolean;
-
-  // 是否进行代码兼容性分析
   analyzeCompatibility?: boolean;
 }
 
-/**
- * FeatureAnalysisAgent 专注于功能请求分析和澄清的 Agent
- * 扩展了基础 AIAgent，添加了功能分析的专用功能
- */
 export class FeatureAnalysisAgent extends AIAgent {
   protected featureAnalysisConfig: FeatureAnalysisAgentConfig;
   protected featureRequestPlaybook: FeatureRequestPlaybook;
 
   constructor(config: FeatureAnalysisAgentConfig = {}) {
-    // 初始化基础 AIAgent
     super(config);
-
-    // 设置 FeatureAnalysis 配置的默认值
     this.featureAnalysisConfig = {
       analysisStrategy: 'requirements-first',
       generateTechnicalDocs: true,
       analyzeCompatibility: true,
       ...config
     };
 
-    // 初始化 FeatureRequestPlaybook
     this.featureRequestPlaybook = new FeatureRequestPlaybook();
-
     this.log('FeatureAnalysisAgent 已初始化，使用策略:', this.featureAnalysisConfig.analysisStrategy);
   }
 
   /**
    * 重写 start 方法以使用特定的 Playbook
    */
   async start(input: string): Promise<AgentResponse> {
-    // 使用 FeatureRequestPlaybook 替换默认的 Playbook
     this.playbook = this.featureRequestPlaybook;
     return super.start(input);
   }
-
-  /**
-   * 生成功能分析报告
-   */
-  private async generateFeatureAnalysisReport(
-    userInput: string,
-    lastLLMResponse: string,
-    toolResults: ToolResult[],
-    totalRounds: number
-  ): Promise<string> {
-    const summaryPrompt = this.featureRequestPlaybook.prepareSummaryPrompt(userInput, toolResults, lastLLMResponse);
-    const verificationPrompt = this.featureRequestPlaybook.prepareVerificationPrompt(userInput, toolResults);
-
-    const messages: CoreMessage[] = [
-      { role: "system", content: this.featureRequestPlaybook.getSystemPrompt() },
-      { role: "user", content: summaryPrompt },
-      { role: "user", content: verificationPrompt }
-    ];
-
-    const { text } = await generateText({
-      model: this.llmConfig.openai(this.llmConfig.fullModel),
-      messages,
-      temperature: 0.3,
-      maxTokens: 4000
-    });
-
-    return text;
-  }
-} 
+}

packages/remote-agent/src/playbooks/bug-fix-playbook.ts

@@ -2,9 +2,6 @@ import { CoreMessage } from "ai";
 import { Playbook } from "./base-playbook";
 import { ToolResult } from "../agent/tool-definition";
 
-/**
- * BugFixPlaybook 专注于管理代码修复和bug修复相关的提示词策略
- */
 export class BugFixPlaybook extends Playbook {
   constructor() {
     super(`你是一个专业的代码修复专家，擅长分析和修复代码中的缺陷。
@@ -103,10 +100,10 @@ ${this.preparePrompt(input, context)}
    */
   prepareSummaryPrompt(userInput: string, toolResults: ToolResult[], currentState: string): string {
     const modifiedFiles = toolResults
-      .filter(r => r.success && 
+      .filter(r => r.success &&
         (r.functionCall.name === 'str-replace-editor' || r.functionCall.name === 'fs-write-file'))
       .map(r => r.functionCall.parameters.targetFile);
-    
+
     const uniqueModifiedFiles = [...new Set(modifiedFiles)];
 
     return `请基于以下信息，生成一个关于代码修复的详细技术报告：
@@ -133,10 +130,10 @@ ${uniqueModifiedFiles.map(file => `- ${file}`).join('\n')}
    */
   prepareVerificationPrompt(userInput: string, results: ToolResult[]): string {
     const modifiedFiles = results
-      .filter(r => r.success && 
+      .filter(r => r.success &&
         (r.functionCall.name === 'str-replace-editor' || r.functionCall.name === 'fs-write-file'))
       .map(r => r.functionCall.parameters.targetFile);
-    
+
     const uniqueModifiedFiles = [...new Set(modifiedFiles)];
 
     return `验证阶段：检查代码修复的质量和完整性。