Revert "Support max_completion_tokens on Mistral"

litellm/llms/mistral/mistral_chat_transformation.py

@@ -28,9 +28,7 @@ class MistralConfig(OpenAIGPTConfig):
 
     - `top_p` (number or null): An alternative to sampling with temperature, used for nucleus sampling. API Default - 1.
 
-    - `max_tokens` [DEPRECATED - use max_completion_tokens] (integer or null): This optional parameter helps to set the maximum number of tokens to generate in the chat completion. API Default - null.
-
-    - `max_completion_tokens` (integer or null): This optional parameter helps to set the maximum number of tokens to generate in the chat completion. API Default - null.
+    - `max_tokens` (integer or null): This optional parameter helps to set the maximum number of tokens to generate in the chat completion. API Default - null.
 
     - `tools` (list or null): A list of available tools for the model. Use this to specify functions for which the model can generate JSON inputs.
 
@@ -48,7 +46,6 @@ class MistralConfig(OpenAIGPTConfig):
     temperature: Optional[int] = None
     top_p: Optional[int] = None
     max_tokens: Optional[int] = None
-    max_completion_tokens: Optional[int] = None
     tools: Optional[list] = None
     tool_choice: Optional[Literal["auto", "any", "none"]] = None
     random_seed: Optional[int] = None
@@ -61,7 +58,6 @@ def __init__(
         temperature: Optional[int] = None,
         top_p: Optional[int] = None,
         max_tokens: Optional[int] = None,
-        max_completion_tokens: Optional[int] = None,
         tools: Optional[list] = None,
         tool_choice: Optional[Literal["auto", "any", "none"]] = None,
         random_seed: Optional[int] = None,
@@ -84,7 +80,6 @@ def get_supported_openai_params(self, model: str) -> List[str]:
             "temperature",
             "top_p",
             "max_tokens",
-            "max_completion_tokens"
             "tools",
             "tool_choice",
             "seed",
@@ -110,8 +105,6 @@ def map_openai_params(
         for param, value in non_default_params.items():
             if param == "max_tokens":
                 optional_params["max_tokens"] = value
-            if param == "max_completion_tokens": # max_completion_tokens should take priority
-                optional_params["max_tokens"] = value
             if param == "tools":
                 optional_params["tools"] = value
             if param == "stream" and value is True: