[docs]: add kt-cli doc and update corresponding website (#1768)

.gitignore

@@ -29,4 +29,4 @@ csrc/demo
 build*
 CMakeFiles/
 kvc2/
-sched/
+sched/

doc/SUMMARY.md

@@ -18,6 +18,7 @@
 <!-- # For Developer
 - [Makefile Usage](en/makefile_usage.md) -->
 - [kt-kernel part](en/kt-kernel/README.md)
+  - [kt-cli](en/kt-kernel/kt-cli.md)
 # FAQ
 - [FAQ](en/FAQ.md)
 <!-- # V3 Reproduction

doc/en/kt-kernel/README.md

@@ -1,2 +1 @@
-# kt-kernel Docs
-To be written...
+# kt-kernel Docs

doc/en/kt-kernel/kt-cli.md

@@ -0,0 +1,43 @@
+# KT-CLI
+
+> ⚠️ **Note:** This feature is currently under active development. Many functionalities are not yet complete and are being improved. Please stay tuned for updates.
+
+## Design Philosophy
+
+KT-CLI is designed to **minimize the burden of reading documentation**. Instead of requiring users to read lengthy docs, the CLI provides:
+
+- **Interactive Mode**: Run commands without arguments to get step-by-step guided prompts
+- **Direct Mode**: Pass arguments directly for automation and scripting
+    > 💡 **Tip:** The arguments are fully compatible with the previous SGLang + KTransformers approach, so you can migrate seamlessly.
+
+Simply run a command, and the CLI will interactively guide you through the process!
+
+## Usage
+
+You can check the usage by `kt --help`
+
+```
+kt [OPTIONS] COMMAND [ARGS]...
+```
+
+KTransformers CLI - A unified command-line interface for KTransformers.
+
+## Options
+
+| Option | Description |
+|--------|-------------|
+| `--help` | Show this message and exit. |
+
+## Commands
+
+| Command | Description |
+|---------|-------------|
+| `version` | Show version information |
+| `chat` | Interactive chat with running model |
+| `quant` | Quantize model weights |
+| `bench` | Run full benchmark |
+| `microbench` | Run micro-benchmark |
+| `doctor` | Diagnose environment issues |
+| `model` | Manage models and storage paths |
+| `config` | Manage configuration |
+| `sft` | Fine-tuning with LlamaFactory |

kt-kernel/README.md

@@ -32,6 +32,10 @@ High-performance kernel operations for KTransformers, featuring CPU-optimized Mo
 - ✅ **Kimi-K2 Native INT4 (RAWINT4)**: Supported on AVX512 CPUs (CPU-GPU shared INT4 weights) - [Guide](https://github.com/kvcache-ai/ktransformers/blob/main/doc/en/kt-kernel/Kimi-K2-Thinking-Native.md)
 - ✅ **FP8 weights (e.g., MiniMax-M2.1)**: Supported on AVX512 CPUs (CPU-GPU shared FP8 weights) - [Guide](https://github.com/kvcache-ai/ktransformers/blob/main/doc/en/kt-kernel/MiniMax-M2.1-Tutorial.md)
 
+**KT-CLI**
+
+We are developing a simpler way to use KTransformers. Check out the [KT-CLI Guide](https://github.com/kvcache-ai/ktransformers/blob/main/doc/en/kt-kernel/kt-cli.md) for more details.
+
 ## Features
 
 - **CPU-Optimized MoE Kernels**: High-throughput MoE expert kernels optimized for instruction sets.