fix(gemini/): support gemini 'frequency_penalty' and 'presence_penalty'

Closes #7748

litellm/llms/gemini/chat/transformation.py

@@ -12,9 +12,7 @@
 from ...vertex_ai.gemini.vertex_and_google_ai_studio_gemini import VertexGeminiConfig
 
 
-class GoogleAIStudioGeminiConfig(
-    VertexGeminiConfig
-):  # key diff from VertexAI - 'frequency_penalty' and 'presence_penalty' not supported
+class GoogleAIStudioGeminiConfig(VertexGeminiConfig):
     """
     Reference: https://ai.google.dev/api/rest/v1beta/GenerationConfig
 
@@ -82,6 +80,7 @@ def get_supported_openai_params(self, model: str) -> List[str]:
             "n",
             "stop",
             "logprobs",
+            "frequency_penalty",
         ]
 
     def map_openai_params(
@@ -92,11 +91,6 @@ def map_openai_params(
         drop_params: bool,
     ) -> Dict:
 
-        # drop frequency_penalty and presence_penalty
-        if "frequency_penalty" in non_default_params:
-            del non_default_params["frequency_penalty"]
-        if "presence_penalty" in non_default_params:
-            del non_default_params["presence_penalty"]
         if litellm.vertex_ai_safety_settings is not None:
             optional_params["safety_settings"] = litellm.vertex_ai_safety_settings
         return super().map_openai_params(

tests/llm_translation/test_optional_params.py

@@ -1063,6 +1063,7 @@ def test_is_vertex_anthropic_model():
         is False
     )
 
+
 def test_groq_response_format_json_schema():
     optional_params = get_optional_params(
         model="llama-3.1-70b-versatile",
@@ -1072,3 +1073,10 @@ def test_groq_response_format_json_schema():
     assert optional_params is not None
     assert "response_format" in optional_params
     assert optional_params["response_format"]["type"] == "json_object"
+
+
+def test_gemini_frequency_penalty():
+    optional_params = get_optional_params(
+        model="gemini-1.5-flash", custom_llm_provider="gemini", frequency_penalty=0.5
+    )
+    assert optional_params["frequency_penalty"] == 0.5