oui cetait vraiment necessaire d avoir un client openai incompatible avec les autres

utils/llm_wrapper.py

@@ -31,12 +31,16 @@ class NormalizedLLM:
         return str(content)
     
     def invoke(self, input: Any, config: Any = None, **kwargs) -> AIMessage:
-        response = self.llm.invoke(input, config=config, **kwargs)
+        # Filter out unsupported parameters
+        filtered_kwargs = {k: v for k, v in kwargs.items() if k != 'extra_body'}
+        response = self.llm.invoke(input, config=config, **filtered_kwargs)
         response.content = self._normalize_content(response.content)
         return response
     
     async def ainvoke(self, input: Any, config: Any = None, **kwargs) -> AIMessage:
-        response = await self.llm.ainvoke(input, config=config, **kwargs)
+        # Filter out unsupported parameters
+        filtered_kwargs = {k: v for k, v in kwargs.items() if k != 'extra_body'}
+        response = await self.llm.ainvoke(input, config=config, **filtered_kwargs)
         response.content = self._normalize_content(response.content)
         return response