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Dev ToolsIntermediateProject

Build OpenAI-compatible API proxies

Set up proxy servers that provide a unified OpenAI-compatible interface to multiple AI providers — cost optimization and failover included.

75 min
LiteLLMOpenRouterDockerPython
10xCareer Team

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$99

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What you'll learn
  • Deploy an OpenAI-compatible proxy server for multi-provider access
  • Implement cost-based routing across AI providers
  • Build failover and rate limit handling for production reliability
  • Track and optimize AI API spend across teams

Overview

Subscription proxying to OpenAI-compatible APIs (65K+ stars) lets you route AI requests across providers through a single interface. This is essential for cost management, failover, and team access control.

What you'll build

  • A proxy server that routes requests to OpenAI, Anthropic, and local models
  • A cost-tracking dashboard for monitoring API spend
  • A failover system that auto-switches providers on errors

Tools covered

  • LiteLLM — Unified API proxy for 100+ LLM providers
  • OpenRouter — Multi-provider routing service
  • LocalAI — Self-hosted OpenAI-compatible server

What you'll learn

  1. The OpenAI API specification and compatibility layers
  2. Setting up LiteLLM as a proxy gateway
  3. Cost optimization: routing cheap tasks to cheap models
  4. Failover and rate limit handling across providers

Why this matters

No one should be locked into a single AI provider. API proxying gives you flexibility, cost control, and resilience.

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