AI API Gateway TypeScript

Build type-safe, maintainable AI API gateways with TypeScript's powerful type system, decorators, and compile-time validation for enterprise-grade AI applications.

Type Safety Decorators Compile-time Validation IntelliSense Auto-completion Refactoring

TypeScript Benefits for AI Gateways

🔒

Type Safety

Catch errors at compile time rather than runtime. Ensure request/response types match exactly what your AI providers expect.

🚀

Developer Experience

Autocomplete, IntelliSense, and inline documentation make API development faster and more accurate.

📝

Self-documenting Code

Type definitions serve as living documentation. Understand API contracts without reading external docs.

⚡

Refactoring Safety

Confidently refactor code knowing TypeScript will catch breaking changes across your entire codebase.

🧩

Modular Design

Build reusable type definitions for AI models, prompts, and responses that can be shared across projects.

🔧

Tooling Integration

Seamless integration with VS Code, ESLint, Prettier, and modern build tools for CI/CD pipelines.

TypeScript Type System Examples

interface ChatMessage {
  role: 'user' | 'assistant' | 'system';
  content: string;
  timestamp?: Date;
}

type AIProvider = 'openai' | 'anthropic' | 'google';

interface ChatRequest {
  messages: ChatMessage[];
  model: string;
  temperature?: number;
  provider: AIProvider;
}

const request: ChatRequest = {
  messages: [{ role: 'user', content: 'Hello' }],
  model: 'gpt-4',
  provider: 'openai'
};

type APIResponse = {
  data: T;
  status: 'success' | 'error';
  error?: string;
};

type ChatCompletion = {
  id: string;
  model: string;
  choices: {
    message: ChatMessage;
    finish_reason: string;
  }[];
  usage: {
    prompt_tokens: number;
    completion_tokens: number;
  };
};

function handleResponse(
  response: APIResponse
): void {
  if (response.status === 'error') {
    throw new Error(response.error);
  }
  // Type-safe access to response.data
  console.log(response.data.choices[0].message);
}

TypeScript Code Examples

TypeScript

import { Controller, Post, Body, UseGuards } from '@nestjs/common';
import { ApiTags, ApiOperation, ApiResponse } from '@nestjs/swagger';
import { IsString, IsArray, ValidateNested } from 'class-validator';
import { Type } from 'class-transformer';

// Type-safe DTO with validation decorators
class ChatMessageDto {
    @IsString()
    role: 'user' | 'assistant' | 'system';

    @IsString()
    content: string;
}

class ChatRequestDto {
    @IsArray()
    @ValidateNested({ each: true })
    @Type(() => ChatMessageDto)
    messages: ChatMessageDto[];

    @IsString()
    model: string;

    @IsOptional()
    temperature?: number;
}

@ApiTags('chat')
@Controller('api/v1/chat')
export class ChatController {
    
    @Post('completions')
    @ApiOperation({ summary: 'Create chat completion' })
    @ApiResponse({ status: 200, description: 'Chat completion successful' })
    @ApiResponse({ status: 400, description: 'Invalid request' })
    async createCompletion(
        @Body() request: ChatRequestDto
    ): Promise {
        // Type-safe access to validated request data
        const { messages, model, temperature } = request;
        
        // Your AI gateway logic here
        return this.aiService.createCompletion({
            messages,
            model,
            temperature
        });
    }
}

// Generic type for AI provider responses
type AIResponse<T> = {
    success: boolean;
    data?: T;
    error?: string;
    metadata: {
        provider: string;
        latency: number;
        tokensUsed: number;
    };
};

// Union type for different AI providers
type AIProvider = 
    | { type: 'openai'; model: string }
    | { type: 'anthropic'; model: string; maxTokens: number }
    | { type: 'google'; model: string; safetySettings: SafetySetting[] };

TypeScript Decorators for AI Gateways

🔒

@Validate()

Automatic request validation with class-validator

⚡

@RateLimit()

Configure rate limiting per endpoint or user

📊

@Log()

Automatic logging of requests and responses

🔐

@Auth()

Authentication and authorization guards

💾

@Cache()

Response caching with configurable TTL

📝

@Swagger()

Automatic OpenAPI documentation generation

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