DevGPT

Premium AI models for developers at half the price. Access GPT-4o, DeepSeek, and Llama via OpenAI-compatible API—built for development, testing, and scaling without burning your budget.

OpenAI-Compatible APILLM RoutingGPT-4oDeepSeekLlamaREST API
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DevGPT

DevGPT: Technical Case Study

Introduction

DevGPT is a developer-focused AI API gateway that provides access to premium large language models (GPT-4o, DeepSeek, Llama) at approximately 50% of standard API pricing. Built for development, testing, and scaling, it offers OpenAI-compatible endpoints as a drop-in replacement so teams can ship faster without compromising on model quality or breaking the budget.

Tech Stack Deep Dive

OpenAI-Compatible API

We expose standard OpenAI-compatible REST and chat completions endpoints, so existing codebases can switch with minimal changes.

// Drop-in replacement for OpenAI client
const response = await fetch('https://devgpt.d613labs.com/v1/chat/completions', {
  method: 'POST',
  headers: {
    'Content-Type': 'application/json',
    'Authorization': `Bearer ${apiKey}`
  },
  body: JSON.stringify({
    model: 'gpt-4o',
    messages: [{ role: 'user', content: 'Hello' }]
  })
});

Multi-Provider Routing

DevGPT routes requests to the best available provider (OpenAI, DeepSeek, Llama, etc.) while keeping a single API surface for the developer.

interface ModelRouter {
  model: string;
  route(request: ChatRequest): Promise<ProviderConfig>;
}

class DevGPTRouter implements ModelRouter {
  async route(request: ChatRequest): Promise<ProviderConfig> {
    const { model } = request;
    const provider = this.getProviderForModel(model);
    return { endpoint: provider.endpoint, apiKey: provider.key };
  }
}

Cost Optimization Layer

Pricing is kept at roughly half of standard rates through provider aggregation, volume agreements, and efficient request batching where applicable.

Challenges & Solutions

Challenge 1: API Compatibility

Problem: Ensuring full behavioral compatibility with the OpenAI API so that SDKs and existing code work without modification.

Solution: We implemented a compatibility layer that normalizes request/response shapes, handles streaming, and maps model names to the correct upstream provider.

Challenge 2: Reliability and Uptime

Problem: Maintaining high availability when depending on multiple upstream providers.

Solution: Health checks, automatic failover, and clear status and model-availability pages so developers can rely on the service for development and production workloads.

Use Cases & Impact

DevGPT enables developers and teams to:

  • Run development and test cycles on premium models at lower cost
  • Evaluate and compare models (GPT-4o, DeepSeek, Llama) through a single API
  • Scale experiments and prototypes without budget overruns
  • Use a single integration for multiple backends via OpenAI-compatible endpoints

Ideal for startups, indie developers, and engineering teams who want top-tier LLMs without top-tier pricing.

Code Examples

typescript

OpenAI-compatible chat completions request to DevGPT

const response = await fetch('https://devgpt.d613labs.com/v1/chat/completions', {
  method: 'POST',
  headers: { 'Authorization': `Bearer ${apiKey}` },
  body: JSON.stringify({ model: 'gpt-4o', messages: [{ role: 'user', content: 'Hello' }] })
});