fix(model): complete MiniMax optimizer role deployment, timeout forwarding, and typing - #255

Thanks — the role-specific MiniMax routing and timeout forwarding are useful. One initialization blocker remains: chat_optimizer_messages() reads OPTIMIZER_DEPLOYMENT, but the module never initializes that global; it is created only if set_optimizer_deployment() has already been called. A fresh process calling the optimizer path therefore raises NameError. Please initialize it from the optimizer deployment environment/default at import time and add a fresh-import regression that calls the optimizer directly without invoking the setter first.

Thanks for fixing the fresh-import initialization. Re-reviewing 1e941d631225 against current main (db46cd9ae7ce), the focused MiniMax suite passes, but the new default-deployment assertion introduces an order-dependent full-suite failure.

Offline reproduction on Python 3.11:

python -m pytest -q tests/test_minimax_backend.py
# 12 passed
python -m pytest -q tests/test_codex_optimizer_backend.py tests/test_minimax_backend.py
# 1 failed, 24 passed

test_default_deployment_is_current_model fails at line 95 with TARGET_DEPLOYMENT == "target-model", not "MiniMax-M3". An earlier dispatcher test sets the module deployment; the MiniMax fixture snapshots/restores the existing state but does not establish a fresh default state before this new assertion. The complete suite likewise reports this failure (1500 passed, 1 failed; 9 skipped).

Please make the default-initialization test independent of shared module/environment state: clear the deployment environment variables and use a fresh import in an isolated subprocess, or reload with complete state restoration. Keep the production routing/timeout fix; the remaining request is test isolation, not removing coverage. Please run the ordered pair and full suite after the change. I would prefer not to merge a known failing CI test and repair it on main afterward.

Yifan Yang (@Yif-Yang) thanks for reviewing this! I've updated test_minimax_backend.py to fix the test order dependency.

I isolated the environment state in test_default_deployment_is_current_model using monkeypatch.delenv to clear TARGET_DEPLOYMENT and OPTIMIZER_DEPLOYMENT, and then did a fresh importlib.reload(backend) to instantiate the default state before asserting against it. This guarantees that running test_codex_optimizer_backend.py (or any other test) beforehand won't bleed environment variables into the Minimax default-initialization test.
one more look here also please!!!!