Avoid blocking the event loop with requests.get in async update_model_type

[kratos0718]

What

update_model_type is an async actor method, but it calls the synchronous requests.get(url, timeout=30) directly:

async def update_model_type(self, model_type: str):
    ...
    response = requests.get(url, timeout=30)

A blocking call inside a coroutine freezes the actor's event loop for the entire duration of the request — up to the 30s timeout while downloading model configurations from model.xinference.io. During that window the worker actor cannot service any other request.

Fix

Run the blocking request in a worker thread with asyncio.to_thread(), so the event loop stays responsive:

response = await asyncio.to_thread(requests.get, url, timeout=30)

This matches the pattern already used throughout worker.py (e.g. await asyncio.to_thread(...) appears in several other places in this module). asyncio is already imported at the top of the file. No behavior change other than no longer blocking the loop.

[gemini-code-assist]

Code Review

This pull request updates xinference/core/worker.py to run the blocking requests.get call inside asyncio.to_thread when downloading JSON from a remote API. This prevents the synchronous network request from freezing the actor's event loop. There are no review comments, and I have no feedback to provide.

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