If you're already using the OpenAI SDK, the hardest part of reducing AI cost usually isn't the model choice. It's migration risk. Most teams don't want to: rebuild prompt pipelines, change response parsing everywhere, fork logic for multiple vendors, or explain to customers why latency suddenly got worse. That's the reason we built XiDao API : a lower-cost, OpenAI-compatible AI API gateway for developers and startups that want to keep their existing workflow while improving margins. What problem we're solving A lot of AI products hit the same wall after launch: usage grows, API bills rise faster than revenue, and every infrastructure change feels risky because it touches core product logic. For small teams, "just migrate providers" sounds easy in theory but becomes expensive in engineering time.…