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Oh this is interesting. In our case we are being very specific about which types of prompts go where, so the planner essentially creates prompts that will be executed by Moondream, instead of trying to route prompts generally to the appropriate model. The types of requests that our planner agent vs Moondream can handle are fundamentally different for our use case.

	▲	tough a day ago \| parent [-]
		interesting, will check out yours i'm mostly interested on these dynamic routers so I can mix local and API based depending on needs, i cannot run some models locally but most of the tasks don't even require such power (on building ai agentic systems) there's also https://github.com/lm-sys/RouteLLM and other similar I guess your system is not as open-ended task oriented so you can just build workflows deciding which model to use at each step, these routing mechanisms are more useful for open-ended tasks that dont fit on a workflow so well (maybe?)