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- Add kimi-k2.8 and kimi-k2.8-code with 1M context, 64k completion tokens, low/high/max thinking, and zero_allowed support to models.json. - Remap K2.8 aliases (kimi-k2.8, k2.8, kimi-k2.8-code, k2.8-code, and -preview variants) to upstream canonical kimi-for-coding. - Normalize temperature for Kimi upstream to prevent 400 errors (strict 0.6 for disabled thinking, 1.0 for enabled). - Align zero_allowed: true across K2.8 and K3 models based on live upstream verification of thinking.type=disabled. - Add test coverage for model normalization, thinking replay family, temperature stripping, and Claude effort=max preservation.