feat：问题生成过程优化及COT数据生成优化 (#169)

* fix(chart): update Helm chart helpers and values for improved configuration

* feat(SynthesisTaskTab): enhance task table with tooltip support and improved column widths

* feat(CreateTask, SynthFileTask): improve task creation and detail view with enhanced payload handling and UI updates

* feat(SynthFileTask): enhance file display with progress tracking and delete action

* feat(SynthFileTask): enhance file display with progress tracking and delete action

* feat(SynthDataDetail): add delete action for chunks with confirmation prompt

* feat(SynthDataDetail): update edit and delete buttons to icon-only format

* feat(SynthDataDetail): add confirmation modals for chunk and synthesis data deletion

* feat(DocumentSplitter): add enhanced document splitting functionality with CJK support and metadata detection

* feat(DataSynthesis): refactor data synthesis models and update task handling logic

* feat(DataSynthesis): streamline synthesis task handling and enhance chunk processing logic

* feat(DataSynthesis): refactor data synthesis models and update task handling logic

* fix(generation_service): ensure processed chunks are incremented regardless of question generation success

* feat(CreateTask): enhance task creation with new synthesis templates and improved configuration options

* feat(CreateTask): enhance task creation with new synthesis templates and improved configuration options

* feat(CreateTask): enhance task creation with new synthesis templates and improved configuration options

* feat(CreateTask): enhance task creation with new synthesis templates and improved configuration options

runtime/datamate-python/app/module/shared/util/model_chat.py

@@ -14,7 +14,8 @@ def call_openai_style_model(base_url, api_key, model_name, prompt, **kwargs):
     )
     return response.choices[0].message.content
 
-def _extract_json_substring(raw: str) -> str:
+
+def extract_json_substring(raw: str) -> str:
     """从 LLM 的原始回答中提取最可能的 JSON 字符串片段。
 
     处理思路：
@@ -22,11 +23,21 @@ def _extract_json_substring(raw: str) -> str:
     - 优先在文本中查找第一个 '{' 或 '[' 作为 JSON 起始；
     - 再从后向前找最后一个 '}' 或 ']' 作为结束；
     - 如果找不到合适的边界，就退回原始字符串。
+    - 部分模型可能会在回复中加入 `<think>...</think>` 内部思考内容，应在解析前先去除。
     该方法不会保证截取的一定是合法 JSON，但能显著提高 json.loads 的成功率。
     """
     if not raw:
         return raw
 
+    # 先移除所有 <think>...</think> 段落（包括跨多行的情况）
+    try:
+        import re
+
+        raw = re.sub(r"<think>[\s\S]*?</think>", "", raw, flags=re.IGNORECASE)
+    except Exception:
+        # 正则异常时不影响后续逻辑，继续使用原始文本
+        pass
+
     start = None
     end = None