chore: initial snapshot for gitea/github upload

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

@@ -0,0 +1,54 @@
+"""
+Translate from OpenAI's `/v1/chat/completions` to Hyperbolic's `/v1/chat/completions`
+"""
+
+from typing import Optional, Tuple
+
+from litellm.secret_managers.main import get_secret_str
+
+from ...openai_like.chat.transformation import OpenAILikeChatConfig
+
+
+class HyperbolicChatConfig(OpenAILikeChatConfig):
+    """
+    Hyperbolic is OpenAI-compatible with standard endpoints
+    """
+
+    @property
+    def custom_llm_provider(self) -> Optional[str]:
+        return "hyperbolic"
+
+    def _get_openai_compatible_provider_info(
+        self, api_base: Optional[str], api_key: Optional[str]
+    ) -> Tuple[Optional[str], Optional[str]]:
+        # Hyperbolic is openai compatible, we just need to set the api_base
+        api_base = (
+            api_base
+            or get_secret_str("HYPERBOLIC_API_BASE")
+            or "https://api.hyperbolic.xyz/v1"  # Default Hyperbolic API base URL
+        )  # type: ignore
+        dynamic_api_key = api_key or get_secret_str("HYPERBOLIC_API_KEY")
+        return api_base, dynamic_api_key
+
+    def get_supported_openai_params(self, model: str) -> list:
+        """
+        Hyperbolic supports standard OpenAI parameters
+        Reference: https://docs.hyperbolic.xyz/docs/rest-api
+        """
+        return [
+            "messages",  # Required
+            "model",  # Required
+            "stream",  # Optional
+            "temperature",  # Optional
+            "top_p",  # Optional
+            "max_tokens",  # Optional
+            "frequency_penalty",  # Optional
+            "presence_penalty",  # Optional
+            "stop",  # Optional
+            "n",  # Optional
+            "tools",  # Optional
+            "tool_choice",  # Optional
+            "response_format",  # Optional
+            "seed",  # Optional
+            "user",  # Optional
+        ]