🚀 The "One Key" API Gateway: Decoupling Your Models for Scalability In the era of AI scaling, model dependency is a liability . If your LLMs run on one platform (e.g., Qwen3), you lose control over which token-forwarding logic applies to which specific model instance. This fragmentation leads to inconsistent performance and debugging nightmares. Novastack solves this by offering an OpenAI-compatible API gateway that provides unified access across multiple top-tier models: Qwen3-235B-A22B (The massive, capable model) DeepSeek-V4-Pro (High throughput & speed) Claude-Opus-4.7 (Strong reasoning & context awareness) Here is the architecture and usage guide for this unified gateway. 🏗️ Architecture Overview: The Novastack Gateway Pattern The core concept here is decoupling . We use a standard HTTP API interface to connect your application logic, while maintaining strict separation between the api service (for routing) and the specific model instances (the actual computation).…