Multi-LLM Control Hub

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Project: A Multi-LLM Platform → a control hub that lets you run, combine, and orchestrate many different language models (GPT-4o, Claude, Gemini, Grok, local models, etc.) from one place. • Interface: A single dashboard + API layer. From the user’s perspective it looks like one unified system. Under the hood, it’s juggling multiple models, routing requests, storing context, and returning clean results. • Overall Goal: To create a market-ready “operating system for LLMs”. Instead of picking one model and being stuck with its limits, you get: • Switching: choose the right LLM for each task. • Blending: combine outputs (ensemble, critique, merge). • Memory: central knowledge that all models can use. • Control: logs, analytics, cost tracking, permissions. • Extensibility: plug in new models, tools, or workflows like apps into an OS. Think of it like: AWS Console + Brain Router + App Store rolled into one. A place where you don’t just use an LLM—you manage an ecosystem of them with ...