fix: o1 model error, use max_completion_tokens instead of max_tokens.

api/core/model_runtime/model_providers/azure_openai/llm/llm.py

@@ -113,7 +113,7 @@ def validate_credentials(self, model: str, credentials: dict) -> None:
         try:
             client = AzureOpenAI(**self._to_credential_kwargs(credentials))
 
-            if "o1" in model:
+            if model.startswith("o1"):
                 client.chat.completions.create(
                     messages=[{"role": "user", "content": "ping"}],
                     model=model,
@@ -311,7 +311,10 @@ def _chat_generate(
         prompt_messages = self._clear_illegal_prompt_messages(model, prompt_messages)
 
         block_as_stream = False
-        if "o1" in model:
+        if model.startswith("o1"):
+            if "max_tokens" in model_parameters:
+                model_parameters["max_completion_tokens"] = model_parameters["max_tokens"]
+                del model_parameters["max_tokens"]
             if stream:
                 block_as_stream = True
                 stream = False
@@ -404,7 +407,7 @@ def _clear_illegal_prompt_messages(self, model: str, prompt_messages: list[Promp
                                 ]
                             )
 
-        if "o1" in model:
+        if model.startswith("o1"):
             system_message_count = len([m for m in prompt_messages if isinstance(m, SystemPromptMessage)])
             if system_message_count > 0:
                 new_prompt_messages = []