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* [feat]: redesign kt run interactive configuration with i18n support - Redesign kt run with 8-step interactive flow (model selection, inference method, NUMA/CPU, GPU experts, KV cache, GPU/TP selection, parsers, host/port) - Add configuration save/load system (~/.ktransformers/run_configs.yaml) - Add i18n support for kt chat (en/zh translations) - Add universal input validators with auto-retry and Chinese comma support - Add port availability checker with auto-suggestion - Add parser configuration (--tool-call-parser, --reasoning-parser) - Remove tuna command and clean up redundant files - Fix: variable reference bug in run.py, filter to show only MoE models * [feat]: unify model selection UI and enable shared experts fusion by default - Unify kt run model selection table with kt model list display * Add Total size, MoE Size, Repo, and SHA256 status columns * Use consistent formatting and styling * Improve user decision-making with more information - Enable --disable-shared-experts-fusion by default * Change default value from False to True * Users can still override with --enable-shared-experts-fusion * [feat]: improve kt chat with performance metrics and better CJK support - Add performance metrics display after each response * Total time, TTFT (Time To First Token), TPOT (Time Per Output Token) * Accurate input/output token counts using model tokenizer * Fallback to estimation if tokenizer unavailable * Metrics shown in dim style (not prominent) - Fix Chinese character input issues * Replace Prompt.ask() with console.input() for better CJK support * Fixes backspace deletion showing half-characters - Suppress NumPy subnormal warnings * Filter "The value of the smallest subnormal" warnings * Cleaner CLI output on certain hardware environments * [fix]: correct TTFT measurement in kt chat - Move start_time initialization before API call - Previously start_time was set when receiving first chunk, causing TTFT ≈ 0ms - Now correctly measures time from request sent to first token received * [docs]: 添加 Clawdbot 集成指南 - KTransformers 企业级 AI 助手部署方案 * [docs]: 强调推荐使用 Kimi K2.5 作为核心模型，突出企业级推理能力 * [docs]: 添加 Clawdbot 飞书接入教程链接 * [feat]: improve CLI table display, model verification, and chat experience - Add sequence number (#) column to all model tables by default - Filter kt edit to show only MoE GPU models (exclude AMX) - Extend kt model verify to check *.json and *.py files in addition to weights - Fix re-verification bug where repaired files caused false failures - Suppress tokenizer debug output in kt chat token counting * [fix]: fix cpu cores. --------- Co-authored-by: skqliao <skqliao@gmail.com>