MarketBaddies
MegaLLMShipped 2025

MegaLLM

Smart routing for 70+ LLMs with up to 60% savings

MegaLLM Case Study Cover
The Problem & Bottleneck

The Technical Challenge

Companies building AI products face high API bills and vendor lock-in. Using top-tier frontier models for trivial classification tasks leads to wasted budgets and single-provider downtime risks.

The MarketBaddies Solution

What We Designed & Shipped

MarketBaddies built MegaLLM: an intelligent gateway that analyzes incoming prompt complexity and semantic intent, dynamically routing requests to the most cost-effective model (OpenAI, Claude, Llama 3, DeepSeek) while preserving 100% OpenAI API format compatibility.

Technical Architecture

Engineering Breakdown & Implementation

  • Drop-in reverse proxy with zero code changes required—simply point the OpenAI baseURL to MegaLLM
  • Semantic complexity classifier determining whether a task requires GPT-4o or can be handled by an inexpensive model
  • Automated provider failover: instantly retries on alternate model endpoints if a provider encounters 5xx rate limits
  • Edge caching of identical query responses reducing redundant API spends
Full Technology Stack
Node.jsTypeScriptOpenAI SDKAnthropic SDKRedis
Verified Outcomes
  • Live at megallm.io routing traffic across 70+ foundation models
  • Up to 60% reduction in monthly AI API inference costs for high-volume users
  • 99.99% effective uptime achieved through multi-provider automatic failover
Deliverables

Core Deliverables Handed Over

Ultra-Low Latency Routing Proxy

Global edge gateway adding less than 15ms overhead to upstream LLM calls.

Developer Management Portal

Web app for generating API keys, setting monthly budget ceilings, and viewing cost savings.

Unified Analytics Engine

Real-time metrics on token consumption, latency percentiles, and provider uptime.

Want to build a platform like MegaLLM?

We architect and ship production-ready applications with zero agency fluff. Speak directly with our engineering team in Bangalore.

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