Clarify whether mlx_closure_compile(shapeless=true) should fuse C API closure bodies

Question

Could you clarify the expected optimization contract for mlx_closure_compile(..., shapeless=true) in the C API?

Specifically: should C API users expect it to perform graph optimization / kernel fusion comparable to Python mx.compile(..., shapeless=True) for a closure body, or should it be treated primarily as a compiled callable/cache boundary where fusion behavior must be validated per op family?

Why I am asking

In AX Engine we tested a few opt-in prefill experiments with MLX 0.31.x / mlx-c 0.6.x. The closure bodies were correct and engaged, but they did not produce measurable throughput improvement:

This surprised us because the Python MLX compile documentation says compile() can build and optimize the compute graph and fuse certain operations. We may have incorrectly assumed the C API closure compile path has the same practical fusion behavior for these closure bodies.

Related note

I found #104, but that issue appears to be about a shapeless=True correctness/stale-result case involving reductions. This issue is only asking about expected optimization/fusion semantics and what C API users should document or rely on.

What clarification would help

A short answer to any of these would be enough:

1. Is mlx_closure_compile(shapeless=true) intended to expose the same graph optimization/fusion behavior as Python mx.compile(shapeless=True)?
2. Are there known op families where C API closure compilation should not be expected to fuse, such as quantized_matmul or mlx_fast_rope?
3. Is there a supported way to inspect whether a compiled C API closure lowered to fewer Metal dispatches/kernels?
4. Should downstream projects avoid documenting C API closure compile as equivalent to Python mx.compile unless they have per-closure benchmark evidence?

Thanks!

Start with the mlx_closure_compile(shapeless=true) C API entry point and compare its documented contract with Python mx.compile(shapeless=True). Review the reported quantized_matmul, activation, and mlx_fast_rope probes; done means documenting whether fusion is guaranteed, operation-dependent, and inspectable for C API users.