diff --git a/nanobot/providers/openai_compat_provider.py b/nanobot/providers/openai_compat_provider.py
index f644628b6..a8782f831 100644
--- a/nanobot/providers/openai_compat_provider.py
+++ b/nanobot/providers/openai_compat_provider.py
@@ -459,6 +459,8 @@ class OpenAICompatProvider(LLMProvider):
             if not content and msg0.get("reasoning"):
                 content = self._extract_text_content(msg0.get("reasoning"))
             reasoning_content = msg0.get("reasoning_content")
+            if not reasoning_content and msg0.get("reasoning"):
+                reasoning_content = self._extract_text_content(msg0.get("reasoning"))
             for ch in choices:
                 ch_map = self._maybe_mapping(ch) or {}
                 m = self._maybe_mapping(ch_map.get("message")) or {}
@@ -514,6 +516,8 @@ class OpenAICompatProvider(LLMProvider):
                     finish_reason = ch.finish_reason
             if not content and m.content:
                 content = m.content
+            if not content and getattr(m, "reasoning", None):
+                content = m.reasoning
 
         tool_calls = []
         for tc in raw_tool_calls:
@@ -530,12 +534,16 @@ class OpenAICompatProvider(LLMProvider):
                 function_provider_specific_fields=fn_prov,
             ))
 
+        reasoning_content = getattr(msg, "reasoning_content", None) or None
+        if not reasoning_content and getattr(msg, "reasoning", None):
+            reasoning_content = msg.reasoning
+
         return LLMResponse(
             content=content,
             tool_calls=tool_calls,
             finish_reason=finish_reason or "stop",
             usage=self._extract_usage(response),
-            reasoning_content=getattr(msg, "reasoning_content", None) or None,
+            reasoning_content=reasoning_content,
         )
 
     @classmethod
@@ -596,6 +604,8 @@ class OpenAICompatProvider(LLMProvider):
                 if text:
                     content_parts.append(text)
                 text = cls._extract_text_content(delta.get("reasoning_content"))
+                if not text:
+                    text = cls._extract_text_content(delta.get("reasoning"))
                 if text:
                     reasoning_parts.append(text)
                 for idx, tc in enumerate(delta.get("tool_calls") or []):
@@ -614,6 +624,8 @@ class OpenAICompatProvider(LLMProvider):
                 content_parts.append(delta.content)
             if delta:
                 reasoning = getattr(delta, "reasoning_content", None)
+                if not reasoning:
+                    reasoning = getattr(delta, "reasoning", None)
                 if reasoning:
                     reasoning_parts.append(reasoning)
             for tc in (delta.tool_calls or []) if delta else []: