chore: initial public snapshot for github upload

llm-gateway-competitors/litellm-wheel-src/litellm/llms/nscale/chat/transformation.py

@@ -0,0 +1,52 @@
+from typing import Optional, Tuple
+
+from litellm.llms.openai.chat.gpt_transformation import OpenAIGPTConfig
+from litellm.secret_managers.main import get_secret_str
+
+
+class NscaleConfig(OpenAIGPTConfig):
+    """
+    Reference: Nscale is OpenAI compatible.
+    API Key: NSCALE_API_KEY
+    Default API Base: https://inference.api.nscale.com/v1
+    """
+
+    API_BASE_URL = "https://inference.api.nscale.com/v1"
+
+    @property
+    def custom_llm_provider(self) -> Optional[str]:
+        return "nscale"
+
+    @staticmethod
+    def get_api_key(api_key: Optional[str] = None) -> Optional[str]:
+        return api_key or get_secret_str("NSCALE_API_KEY")
+
+    @staticmethod
+    def get_api_base(api_base: Optional[str] = None) -> Optional[str]:
+        return (
+            api_base or get_secret_str("NSCALE_API_BASE") or NscaleConfig.API_BASE_URL
+        )
+
+    def _get_openai_compatible_provider_info(
+        self, api_base: Optional[str], api_key: Optional[str]
+    ) -> Tuple[Optional[str], Optional[str]]:
+        # This method is called by get_llm_provider to resolve api_base and api_key
+        resolved_api_base = NscaleConfig.get_api_base(api_base)
+        resolved_api_key = NscaleConfig.get_api_key(api_key)
+        return resolved_api_base, resolved_api_key
+
+    def get_supported_openai_params(self, model: str) -> list:
+        return [
+            "max_tokens",
+            "n",
+            "temperature",
+            "top_p",
+            "stream",
+            "logprobs",
+            "top_logprobs",
+            "frequency_penalty",
+            "presence_penalty",
+            "response_format",
+            "stop",
+            "logit_bias",
+        ]