fix: new models like qwen3.5 use 'reasoning' field instead of 'reasoning_content' for thought content

python/dify_plugin/interfaces/model/large_language_model.py

@@ -535,7 +535,7 @@ def _wrap_thinking_by_reasoning_content(self, delta: dict, is_reasoning: bool) -
         """
 
         content = delta.get("content") or ""
-        reasoning_content = delta.get("reasoning_content")
+        reasoning_content = delta.get("reasoning_content") or delta.get("reasoning")
         output = content
         if reasoning_content:
             if not is_reasoning:

python/pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "dify_plugin"
-version = "0.7.4"
+version = "0.7.5"
 description = "Dify Plugin SDK"
 authors = [{ name = "langgenius", email = "hello@dify.ai" }]
 dependencies = [

python/tests/interfaces/model/test_wrap_think.py

@@ -109,3 +109,33 @@ def test_standard_reasoning_flow(self):
             full_output += output
 
         assert full_output == "<think>\nThinking.\n</think>Hello world."
+
+    def test_reasoning_key_fallback(self):
+        """
+        Test that delta.get("reasoning") is used when reasoning_content is absent.
+        Line 538: reasoning_content = delta.get("reasoning_content") or delta.get("reasoning")
+        """
+        chunks = [
+            {"reasoning": "Using reasoning key.", "content": ""},
+            {"reasoning": None, "content": "Response text."},
+        ]
+
+        is_reasoning = False
+        full_output = ""
+        for chunk in chunks:
+            output, is_reasoning = self.llm._wrap_thinking_by_reasoning_content(chunk, is_reasoning)
+            full_output += output
+
+        assert full_output == "<think>\nUsing reasoning key.\n</think>Response text."
+
+    def test_reasoning_content_takes_precedence_over_reasoning(self):
+        """
+        Test that reasoning_content takes precedence when both keys exist.
+        Line 538: reasoning_content = delta.get("reasoning_content") or delta.get("reasoning")
+        """
+        chunk = {"reasoning_content": "Primary.", "reasoning": "Fallback.", "content": ""}
+        output, is_reasoning = self.llm._wrap_thinking_by_reasoning_content(chunk, False)
+
+        assert "Primary." in output
+        assert "Fallback." not in output
+        assert is_reasoning is True