chore: initial public snapshot for github upload

llm-gateway-competitors/litellm-wheel-src/litellm/llms/amazon_nova/cost_calculation.py

@@ -0,0 +1,21 @@
+"""
+Helper util for handling amazon nova cost calculation
+- e.g.: prompt caching
+"""
+
+from typing import TYPE_CHECKING, Tuple
+
+from litellm.litellm_core_utils.llm_cost_calc.utils import generic_cost_per_token
+
+if TYPE_CHECKING:
+    from litellm.types.utils import Usage
+
+
+def cost_per_token(model: str, usage: "Usage") -> Tuple[float, float]:
+    """
+    Calculates the cost per token for a given model, prompt tokens, and completion tokens.
+    Follows the same logic as Anthropic's cost per token calculation.
+    """
+    return generic_cost_per_token(
+        model=model, usage=usage, custom_llm_provider="amazon_nova"
+    )