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* fix(kimi): force fixed temperature on kimi-k2.* models (k2.5, thinking, turbo) The prior override only matched the literal model name "kimi-for-coding", but Moonshot's coding endpoint is hit with real model IDs such as `kimi-k2.5`, `kimi-k2-turbo-preview`, `kimi-k2-thinking`, etc. Those requests bypassed the override and kept the caller's temperature, so Moonshot returns HTTP 400 "invalid temperature: only 0.6 is allowed for this model" (or 1.0 for thinking variants). Match the whole kimi-k2.* family: * kimi-k2-thinking / kimi-k2-thinking-turbo -> 1.0 (thinking mode) * all other kimi-k2.* -> 0.6 (non-thinking / instant mode) Also accept an optional vendor prefix (e.g. `moonshotai/kimi-k2.5`) so aggregator routings are covered. * refactor(kimi): whitelist-match kimi coding models instead of prefix Addresses review feedback on PR #12144. - Replace `startswith("kimi-k2")` with explicit frozensets sourced from Moonshot's kimi-for-coding model list. The prefix match would have also clamped `kimi-k2-instruct` / `kimi-k2-instruct-0905`, which are the separate non-coding K2 family with variable temperature (recommended 0.6 but not enforced — see huggingface.co/moonshotai/Kimi-K2-Instruct). - Confirmed via platform.kimi.ai docs that all five coding models (k2.5, k2-turbo-preview, k2-0905-preview, k2-thinking, k2-thinking-turbo) share the fixed-temperature lock, so the preview-model mapping is no longer an assumption. - Drop the fragile `"thinking" in bare` substring test for a set lookup. - Log a debug line on each override so operators can see when Hermes silently rewrites temperature. - Update class docstring. Extend the negative test to parametrize over kimi-k2-instruct, Kimi-K2-Instruct-0905, and a hypothetical future kimi-k2-experimental name — all must keep the caller's temperature.