Hey everyone π,
If youβre building AI apps today, you probably know the headache of API fragmentation. You might want to use GPT-4o for reasoning, Claude 3.5 for coding, and Llama 3 for fast, cheap processing.
But doing this currently means:
β Managing 5+ different provider accounts.
β Rewriting code to match different SDKs.
β Dealing with separate billing, rate limits, and declined cards.
β App downtime when a provider's server crashes.
I am validating an idea for a Unified LLM API Gateway to solve this. It acts as a single proxy between your code and 40+ AI providers (250+ models).
How it works:
Drop-in Replacement: 100% compatible with the OpenAI SDK. Just change the baseURL and API key. Zero code rewrites.
Smart Fallback: If a provider has an outage or hits a rate limit, it instantly routes your request to a backup model. 99.99% uptime.
Unified Wallet: Top up once, pay for all models.
Before I fully commit to building the MVP, I want to hear from the community:
Is this a pain point you currently face? Would a unified gateway save you engineering hours?
Let me know your thoughts or feature requests in the comments π
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