Code Improvements

The Robota library is continuously improving code quality and developer experience through ongoing enhancements. This document provides detailed information about refactoring and code improvement work.

Structural Improvements

Modularization and Separation

The codebase is logically separated as follows:

robota/
├── packages/           # Core packages
│   ├── core/           # Core functionality
│   │   ├── managers/   # Feature-specific manager classes
│   │   ├── services/   # Business logic services
│   │   ├── interfaces/ # Type definitions and interfaces
│   │   └── utils/      # Utility functions
│   ├── openai/         # OpenAI integration
│   ├── anthropic/      # Anthropic integration
│   ├── mcp/            # MCP implementation
│   ├── tools/          # Tool system
│   └── ...
└── apps/               # Applications
    ├── docs/           # Documentation application
    └── examples/       # Example code

Introduction of Manager Pattern

Core functionality is organized into manager classes separated by responsibility:

export class Robota {
    // Managers
    private aiProviderManager: AIProviderManager;
    private toolProviderManager: ToolProviderManager;
    private systemMessageManager: SystemMessageManager;
    private functionCallManager: FunctionCallManager;
    private conversationService: ConversationService;
    
    // Basic configuration
    private memory: Memory;
    private onToolCall?: (toolName: string, params: any, result: any) => void;
    private logger: Logger;
    private debug: boolean;
}

AIProviderManager

Handles registration, management, and selection of AI providers:

export class AIProviderManager {
    addProvider(name: string, aiProvider: AIProvider): void;
    setCurrentAI(providerName: string, model: string): void;
    getAvailableAIs(): Record<string, string[]>;
    getCurrentAI(): { provider?: string; model?: string };
    isConfigured(): boolean;
}

ToolProviderManager

Manages tool providers and tool calls:

export class ToolProviderManager {
    addProviders(providers: ToolProvider[]): void;
    callTool(toolName: string, parameters: Record<string, any>): Promise<any>;
    getAvailableTools(): any[];
    setAllowedFunctions(functions: string[]): void;
}

SystemMessageManager

Manages system prompts and system messages:

export class SystemMessageManager {
    setSystemPrompt(prompt: string): void;
    setSystemMessages(messages: Message[]): void;
    addSystemMessage(content: string): void;
    getSystemPrompt(): string | undefined;
    getSystemMessages(): Message[] | undefined;
}

FunctionCallManager

Manages function call configuration and modes:

export class FunctionCallManager {
    setFunctionCallMode(mode: FunctionCallMode): void;
    configure(config: FunctionCallConfig): void;
    getDefaultMode(): FunctionCallMode;
    isFunctionAllowed(functionName: string): boolean;
}

Introduction of Service Layer

Business logic is separated into service classes:

ConversationService

Handles conversation processing with AI:

export class ConversationService {
    prepareContext(memory: Memory, systemPrompt?: string, systemMessages?: Message[], options?: RunOptions): Context;
    generateResponse(aiProvider: AIProvider, model: string, context: Context, options: RunOptions, availableTools: any[], onToolCall?: Function): Promise<ModelResponse>;
    generateStream(aiProvider: AIProvider, model: string, context: Context, options: RunOptions, availableTools: any[]): Promise<AsyncIterable<StreamingResponseChunk>>;
}

This modularization provides the following benefits:

1. Single Responsibility Principle: Each class has clear responsibilities
2. Code Reusability: Common functionality is properly separated, reducing code duplication
3. Maintainability: Changes in one module have minimal impact on other modules
4. Testability: Independent modules are easy to unit test
5. Bundle Size Optimization: Users can import only the modules they need to optimize bundle size

Interface Improvements

Core interfaces have been improved as follows:

1. AIProvider: Provides a standardized, extensible interface for communication with AI models
2. Memory: Defines clear contracts for conversation history management
3. Tool: Extensible interface for tool definition and execution

Build System Improvements

Test File Separation

The build system has been improved so that test files are excluded from production builds:

// tsconfig.json - For production build
{
  "exclude": [
    "src/**/*.test.ts",
    "src/**/*.test.tsx",
    "src/**/*.spec.ts",
    "src/**/*.spec.tsx"
  ]
}

// tsconfig.test.json - For testing
{
  "extends": "./tsconfig.json",
  "compilerOptions": {
    "types": ["vitest/globals", "node"]
  },
  "include": ["src/**/*"],
  "exclude": []
}

Type System Cleanup

Type definitions have been moved to appropriate locations, resolving circular dependency issues:

// Located in managers/function-call-manager.ts
export type FunctionCallMode = 'auto' | 'force' | 'disabled';
export interface FunctionCallConfig {
    defaultMode?: FunctionCallMode;
    maxCalls?: number;
    timeout?: number;
    allowedFunctions?: string[];
}

Type System Improvements

Introduction of Generic Types

// Before:
interface Tool {
  name: string;
  description?: string;
  execute: (...args: any[]) => Promise<any>;
}

// Improved:
interface Tool<TInput = any, TOutput = any> {
  name: string;
  description?: string;
  parameters?: ToolParameter[];
  execute: (input: TInput) => Promise<ToolResult<TOutput>>;
}

Added Explicit Type Checking

// Function parameter validation
registerFunction(schema: FunctionSchema, fn: Function): void {
  if (!schema || !schema.name) {
    throw new Error('Valid function schema is required.');
  }
  if (typeof fn !== 'function') {
    throw new Error('Second argument must be a function.');
  }
  
  // Implementation...
}

Code Readability Improvements

Comments and Documentation

JSDoc comments are included for all major classes, methods, and properties:

export class FunctionCallManager {
    setFunctionCallMode(mode: FunctionCallMode): void {
        this.config.defaultMode = mode;
    }
}

Consistent Method Grouping

Related methods are grouped logically to clarify code structure:

class Robota {
  // ============================================================
  // AI Provider Management (delegation)
  // ============================================================
  addAIProvider() { /* ... */ }
  setCurrentAI() { /* ... */ }
  getAvailableAIs() { /* ... */ }
  
  // ============================================================
  // System Message Management (delegation)
  // ============================================================
  setSystemPrompt() { /* ... */ }
  setSystemMessages() { /* ... */ }
  addSystemMessage() { /* ... */ }
  
  // ============================================================
  // Function Call Management (delegation)
  // ============================================================
  setFunctionCallMode() { /* ... */ }
  configureFunctionCall() { /* ... */ }
  
  // ============================================================
  // Execution Methods
  // ============================================================
  run() { /* ... */ }
  chat() { /* ... */ }
  runStream() { /* ... */ }
  
  // ============================================================
  // Internal Helper Methods
  // ============================================================
  private generateResponse() { /* ... */ }
  private generateStream() { /* ... */ }
}

Error Handling Improvements

Error handling has been improved to provide more specific and useful feedback in various situations:

async generateResponse(context: any, options: RunOptions = {}): Promise<ModelResponse> {
    if (!this.aiProviderManager.isConfigured()) {
        throw new Error('Current AI provider and model are not configured. Use setCurrentAI() method to configure.');
    }

    try {
        // Response generation...
    } catch (error) {
        logger.error('Error occurred during AI client call:', error);
        throw new Error(`Error during AI client call: ${error instanceof Error ? error.message : String(error)}`);
    }
}

Test Improvements

Test Location and Structure

Test files are placed alongside their corresponding implementation files for easier management:

packages/core/src/
  ├── memory.ts
  ├── memory.test.ts  // Tests for memory.ts
  ├── robota.ts
  └── robota.test.ts  // Tests for robota.ts

Expanded Test Coverage

Test coverage has been improved in the following areas:

1. Edge Cases: Tests for abnormal inputs and boundary conditions
2. Error Situations: Verification that exceptions are handled properly
3. Integration Tests: Test scenarios where multiple components work together

Tests for Refactored Structure

Test code has been updated to match the new manager-based structure:

describe('Robota', () => {
    let mockProvider: MockProvider;
    let robota: Robota;

    beforeEach(() => {
        mockProvider = new MockProvider();
        robota = new Robota({ 
            aiProviders: { mock: mockProvider },
            currentProvider: 'mock',
            currentModel: 'mock-model'
        });
    });

    it('should initialize with function call configuration', () => {
        const customRobota = new Robota({
            aiProviders: { mock: mockProvider },
            currentProvider: 'mock',
            currentModel: 'mock-model',
            functionCallConfig
        });

        expect(customRobota['functionCallManager'].getDefaultMode()).toBe('auto');
        expect(customRobota['functionCallManager'].getMaxCalls()).toBe(5);
        expect(customRobota['functionCallManager'].getAllowedFunctions()).toEqual(['getWeather']);
    });
});

API Design Improvements

Consistent Naming Conventions

All APIs follow consistent naming conventions:

• Classes: PascalCase (e.g., AIProviderManager, FunctionCallManager)
• Methods: camelCase (e.g., registerFunction, setSystemPrompt)
• Constants: UPPER_SNAKE_CASE (e.g., DEFAULT_TIMEOUT, MAX_TOKENS)
• Types/Interfaces: PascalCase (e.g., ToolResult, FunctionSchema)

Dependency Injection and Delegation Pattern

The Robota class is configured with managers through dependency injection, and public APIs are implemented by delegating to appropriate managers:

export class Robota {
    constructor(options: RobotaOptions) {
        // Initialize managers
        this.aiProviderManager = new AIProviderManager();
        this.toolProviderManager = new ToolProviderManager(this.logger, options.functionCallConfig?.allowedFunctions);
        this.systemMessageManager = new SystemMessageManager();
        this.functionCallManager = new FunctionCallManager(options.functionCallConfig);
        this.conversationService = new ConversationService(options.temperature, options.maxTokens, this.logger, this.debug);
    }

    // Delegate AI Provider management to AIProviderManager
    addAIProvider(name: string, aiProvider: AIProvider): void {
        this.aiProviderManager.addProvider(name, aiProvider);
    }

    // Delegate system message management to SystemMessageManager
    setSystemPrompt(prompt: string): void {
        this.systemMessageManager.setSystemPrompt(prompt);
    }
}

Method Chaining Support

// Before:
toolRegistry.register(tool1);
toolRegistry.register(tool2);

// Improved:
toolRegistry
  .register(tool1)
  .register(tool2);

Performance Improvements

Memory Optimization

The memory management system has been improved to efficiently store and retrieve conversation history:

class SimpleMemory implements Memory {
  private messages: Message[] = [];
  private maxMessages: number;
  
  constructor(options?: { maxMessages?: number }) {
    this.maxMessages = options?.maxMessages || 0;
  }
  
  addMessage(message: Message): void {
    this.messages.push(message);
    
    // Apply maximum message limit
    if (this.maxMessages > 0 && this.messages.length > this.maxMessages) {
      // Always keep system messages
      const systemMessages = this.messages.filter(m => m.role === 'system');
      const nonSystemMessages = this.messages.filter(m => m.role !== 'system');
      
      // Trim only non-system messages
      const remainingCount = this.maxMessages - systemMessages.length;
      const trimmedNonSystemMessages = nonSystemMessages.slice(-remainingCount);
      
      // Combine system messages and trimmed non-system messages
      this.messages = [...systemMessages, ...trimmedNonSystemMessages];
    }
  }
}

Code Comment Improvements

Korean JSDoc Comments Converted to English

All JSDoc comments in the library codebase have been changed from Korean to English. This is an important improvement for international usability and standard development practices.

Changed Files

Core Package:

• index.ts: Main class and manager export comments
• robota.ts: All Robota class and method comments
• managers/: All manager class comments
• function.ts: Function creation utility comments
• interfaces/: Interface definition comments
• utils.ts: Utility function comments
• providers/: Provider implementation comments

OpenAI Package:

• index.ts, types.ts: Provider options and interface comments
• provider.ts: OpenAI Provider implementation comments

Anthropic Package:

• index.ts, types.ts, provider.ts: All package comments

Tools Package:

• types.d.ts, index.ts: Tool system related comments
• tool-provider.ts, mcp-tool-provider.ts: Tool provider comments

Comment Change Examples

// Before (Korean)
/**
 * 메인 Robota 클래스
 * 에이전트 초기화 및 실행을 위한 인터페이스 제공
 */

// After (English)
/**
 * Main Robota class
 * Provides an interface for initializing and running agents
 */

Standardized JSDoc Format

All comments have been improved to follow standard JSDoc format:

/**
 * Function description
 * 
 * @param paramName - Parameter description
 * @returns Return value description
 * 
 * @example
 * ```ts
 * const result = functionCall(param);
 * ```
 */

Future Comment Writing Principles

All new code going forward should follow these principles:

1. Write in English: All JSDoc comments and inline comments must be written in English
2. Standard Format: Follow JSDoc standard rules
3. Complete Documentation: Include parameters, return values, examples
4. Clear Descriptions: Clearly describe the purpose and usage of functions or classes

Conclusion

Through these code improvements, the Robota library provides the following benefits:

1. Better Developer Experience: Intuitive APIs and clear documentation
2. Enhanced Type Safety: Catch errors at compile time
3. Higher Code Quality: Consistent style and design principles
4. Extensibility: Easy to add new features and integrations
5. Maintainability: Clear module boundaries and separation of responsibilities
6. Testability: Each manager and service can be tested independently
7. Build Optimization: Test files are excluded from production builds for bundle size optimization
8. International Standards: English comments make it easy for international developers to understand

Future development plans include additional optimizations, support for more providers, and implementation of advanced features.