[OP][Feature] 统一 limit_thinking_content_length CUDA 算子，支持回复长度限制与注入序列 (#6493)

* Initial plan

* Migrate PRs #6311, #6129, #6305 to develop and merge unit tests

Co-authored-by: yuanlehome <23653004+yuanlehome@users.noreply.github.com>

* fix

* update

* fix

* fix ci

* fix ci

* Initial plan

* test: add test_chat_with_response_max_tokens to test_EB_VL_Lite_serving.py

Co-authored-by: yuanlehome <23653004+yuanlehome@users.noreply.github.com>

* test: add disable-thinking case to test_chat_with_response_max_tokens

Co-authored-by: yuanlehome <23653004+yuanlehome@users.noreply.github.com>

* test: add both reasoning_max_tokens and response_max_tokens case

Co-authored-by: yuanlehome <23653004+yuanlehome@users.noreply.github.com>

* fix ci

* fix ci

* fix ci

---------

Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
Co-authored-by: yuanlehome <23653004+yuanlehome@users.noreply.github.com>

fastdeploy/worker/input_batch.py

@@ -199,7 +199,11 @@ class InputBatch:
         # Initialize thinking related buffers
         self.enable_thinking = paddle.full(shape=[max_num_seqs, 1], fill_value=True, dtype="bool")
         self.max_think_lens = paddle.full(shape=[max_num_seqs, 1], fill_value=-1, dtype="int32")
+        self.max_reply_lens = paddle.full(shape=[max_num_seqs, 1], fill_value=-1, dtype="int32")
         self.limit_think_status = paddle.full(shape=[max_num_seqs, 1], fill_value=0, dtype="int32")
+        self.inject_token_ids = paddle.to_tensor(self.model_config.think_truncate_prompt_ids, dtype="int64").reshape(
+            [-1, 1]
+        )
 
         # NOTE(liuzichang): token after \n</think>\n\n must be <tool_call> 100973 or <response> 100975
         # It is a hard code to cover up model's performance