Building a Self-Hosted LLM API Gateway to Cut AI Costs by 80%
The author built an intelligent API gateway that routes requests between OpenRouter, OpenAI, and local models based on cost, speed, and task requirements, reducing their monthly AI bill by 80%.
Why it matters
This approach can help startups and small businesses significantly reduce their AI infrastructure costs without sacrificing quality.
Key Points
- 1Routing requests to cheaper alternatives like OpenRouter and local models can significantly reduce AI costs
- 2The gateway classifies tasks, checks latency requirements, and routes to the optimal provider
- 3Local Llama 2 model is free, Claude Haiku via OpenRouter is cheap, GPT-4 via OpenRouter is more expensive
Details
The author was paying $847 per month for OpenAI, which was unsustainable for their bootstrapped SaaS. They built an API gateway that intelligently routes requests based on task type, latency requirements, and cost thresholds. By using cheaper alternatives like OpenRouter and local Llama 2 models for appropriate tasks, they were able to reduce their monthly AI costs by 80% to $167. The gateway acts as a traffic controller, classifying each request and sending it to the optimal provider - local Llama 2 for free, Claude Haiku via OpenRouter for cheap, or GPT-4 via OpenRouter for more expensive but faster responses.
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