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

[RohithPariki]

Problem

In skillopt.model.minimax_backend and the top-level skillopt.model dispatcher:

1. chat_target dropped the timeout parameter when routing to minimax_chat, ignoring caller-configured timeouts.
2. chat_optimizer_messages was not implemented in minimax_backend.py, forcing the dispatcher to fall back to _minimax.chat_target_messages(..., stage="optimizer") with mismatched target deployment resolution.
3. set_optimizer_deployment was missing in minimax_backend.py, causing skillopt.model.set_optimizer_deployment() to omit MiniMax from optimizer deployment updates.
4. Return type annotations in minimax_backend.py (dict[int]) were malformed generics.

Root Cause

MiniMax backend support previously focused on the target path, leaving optimizer role deployment registration, timeout forwarding, and structured message dispatcher entry points incomplete.

Solution

• Added OPTIMIZER_DEPLOYMENT and set_optimizer_deployment to skillopt.model.minimax_backend.
• Added chat_optimizer_messages in minimax_backend.py using OPTIMIZER_DEPLOYMENT.
• Forwarded timeout across chat_target, chat_optimizer, and chat_optimizer_messages.
• Fixed return type annotations to tuple[str, dict[str, int]].
• Registered _minimax.set_optimizer_deployment in skillopt.model.set_optimizer_deployment.
• Added unit tests in tests/test_minimax_backend.py validating deployment resolution, tool calls, and timeout propagation.

Testing

• Ran unit tests: pytest tests/test_minimax_backend.py (9/9 passed).
• Ran lint check: ruff check (clean).

Risk

Low. Additive and backwards-compatible with existing backend configuration.

[Yifan Yang (Yif-Yang)]

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.

[Yifan Yang (Yif-Yang)]

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.

[RohithPariki]

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!!!!

[Yifan Yang (Yif-Yang)]

Re-reviewed b3250f8aaf0e. The exact ordering reproduction from my previous comment now passes:

python -m pytest -q tests/test_codex_optimizer_backend.py tests/test_minimax_backend.py
# 25 passed

The fresh import/reload and cleanup of the deployment environment values address that default-initialization test's dependence on a preceding Codex test. I am no longer treating that reproduction as an outstanding blocker on this PR.

Please retain the explicit cross-file order in the regression receipt, not just the standalone MiniMax result. There are only minor trailing-whitespace nits in the changed test file from git diff --check; those are cleanup, not a newly discovered behavioral defect.

The exact-head official CI run still awaits maintainer approval. This passing local reproduction does not substitute for the full suite, and does not automatically apply to the separate fixture implementation currently in #262. This comment is not merge approval.