How I Built a Unified API Gateway for 200+ AI Models (Architecture Deep Dive)

说明与用途

SarangAI 将200多种AI模型整合到一个OpenAI兼容端点，统一响应和流式处理，管理计费和速率限制，并提供终端CLI。

问题

Managing multiple AI providers requires separate accounts, billing, SDKs, and rate limits, creating a bottleneck for developers experimenting with new models.

结果

SarangAI eliminates the need for multiple provider accounts, unifies API interactions, normalizes responses and streaming, and provides real‑time billing and rate limiting, enabling developers to experiment with 200+ models through a single endpoint.

工作流

• Receive request at API Gateway
• Router selects target model based on request
• Provider Adapter translates request to provider format
• Provider returns response
• Adapter normalizes response to OpenAI format
• Billing & Rate Limiter updates prepaid balance and enforces limits
• Client receives normalized response or SSE stream

证据

If you want to use 4 different models, you have to manage 4 accounts, 4 invoices, and 4 sets of documentation.

来源

I built SarangAI to solve this. It's a unified AI gateway that routes all requests to 200+ models through a single OpenAI-compatible endpoint.

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The solution: adapter pattern. Each provider has an adapter that: Translates the request from OpenAI format to the provider's format; Translates the response from the provider's format back to OpenAI format; Handles errors and retry logic.

来源

In SarangAI, I normalize all streaming to the same SSE format as OpenAI.

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For this, I use a combination of Redis (for fast balance checks) and a database (for audit trails).

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