Remove legacy Sphinx docs/ and finish the Mintlify cutover (#28964)

docs_new/docs/developer_guide/contribution_guide.mdx

@@ -94,8 +94,8 @@ Also, do not rely on the "Latency/Output throughput" from this script, as it is
 
 GSM8K is too easy for state-of-the-art models nowadays. Please try your own more challenging accuracy tests.
 You can find additional accuracy eval examples in:
-- [test_eval_accuracy_large.py](https://github.com/sgl-project/sglang/blob/main/test/registered/eval/test_eval_accuracy_large.py)
-- [test_gpt_oss_1gpu.py](https://github.com/sgl-project/sglang/blob/main/test/registered/core/test_gpt_oss_1gpu.py)
+- [test_eval_accuracy_large.py](https://github.com/sgl-project/sglang/blob/main/test/manual/eval/test_eval_accuracy_large.py)
+- [test_gpt_oss_1gpu.py](https://github.com/sgl-project/sglang/blob/main/test/manual/core/test_gpt_oss_1gpu.py)
 
 ## Benchmark the speed
 Refer to [Benchmark and Profiling](./benchmark_and_profiling).

docs_new/docs/developer_guide/msprobe_debugging_guide.mdx

@@ -306,7 +306,7 @@ After locating the divergent node (e.g., a specific Conv layer or torch API with
 - `dump_tensor_data`: Save the collected tensor data.
 - `dump.json`: Statistics for the forward data of each API or module, including names, dtype, shape, max, min, mean, L2
   norm (square root of the L2 variance), and CRC-32 when `summary_mode="md5"`.
-  See [dump.json file description](#dumpjson-file-description) for details.
+  See [dump.json file description](#dump-json-file-description) for details.
 - `dump_error_info.log`: Present only when the dump tool encountered an error and records the failure log.
 - `stack.json`: Call stacks for APIs/modules.
 - `construct.json`: Hierarchical structure description. Empty when `level=L1`.