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.

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
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' }] })
});