diff --git a/litellm/llms/cloudflare/rerank/transformation.py b/litellm/llms/cloudflare/rerank/transformation.py
index 17a5a840bf3..e52924e1b6b 100644
--- a/litellm/llms/cloudflare/rerank/transformation.py
+++ b/litellm/llms/cloudflare/rerank/transformation.py
@@ -107,7 +107,7 @@ class CloudflareRerankConfig(BaseRerankConfig):
             )
         return RerankResponseResult(index=index, relevance_score=float(score))
 
-    def validate_environment(
+    def validate_environment(  # pyright: ignore[reportIncompatibleMethodOverride]  # base annotates the return as dict; the read-only Mapping is intentional
         self,
         headers: Mapping[str, object],
         model: str,
@@ -141,7 +141,7 @@ class CloudflareRerankConfig(BaseRerankConfig):
             return f"{cleaned}/{encoded_model}"
         return f"{cleaned}/ai/run/{encoded_model}"
 
-    def get_supported_cohere_rerank_params(
+    def get_supported_cohere_rerank_params(  # pyright: ignore[reportIncompatibleMethodOverride]  # base annotates the return as list; a read-only tuple is intentional
         self,
         model: str,
     ) -> Sequence[str]:
@@ -152,7 +152,7 @@ class CloudflareRerankConfig(BaseRerankConfig):
             "return_documents",
         )
 
-    def map_cohere_rerank_params(
+    def map_cohere_rerank_params(  # pyright: ignore[reportIncompatibleMethodOverride]  # base annotates the return as dict; the read-only Mapping is intentional
         self,
         non_default_params: Mapping[str, object],
         model: str,
@@ -191,7 +191,7 @@ class CloudflareRerankConfig(BaseRerankConfig):
             return_documents=return_documents,
         )
 
-    def transform_rerank_request(
+    def transform_rerank_request(  # pyright: ignore[reportIncompatibleMethodOverride]  # base annotates the return as dict; the read-only Mapping is intentional
         self,
         model: str,
         optional_rerank_params: Mapping[str, object],
@@ -206,11 +206,10 @@ class CloudflareRerankConfig(BaseRerankConfig):
             raise ValueError("documents is required for Cloudflare rerank")
 
         contexts = tuple(self._document_to_context(document) for document in documents)
-        request = CloudflareRerankRequest(query=query, contexts=contexts)
         top_n = optional_rerank_params.get("top_n")
         if top_n is None:
-            return request
-        return CloudflareRerankRequest(**request, top_k=top_n)
+            return CloudflareRerankRequest(query=query, contexts=contexts)
+        return CloudflareRerankRequest(query=query, contexts=contexts, top_k=top_n)
 
     def transform_rerank_response(
         self,
diff --git a/litellm/main.py b/litellm/main.py
index 5a88b25779c..d736c8442cc 100644
--- a/litellm/main.py
+++ b/litellm/main.py
@@ -6071,6 +6071,30 @@ async def aembedding(*args, **kwargs) -> EmbeddingResponse:
         )
 
 
+def _resolve_vercel_or_cloudflare_embedding_credentials(
+    custom_llm_provider: str,
+    api_base: str | None,
+    api_key: str | None,
+) -> tuple[str | None, str | None]:
+    if custom_llm_provider == "cloudflare":
+        resolved_api_key: Final = (
+            api_key or litellm.cloudflare_api_key or litellm.api_key or get_secret_str("CLOUDFLARE_API_KEY")
+        )
+        if resolved_api_key is None:
+            raise ValueError("Missing Cloudflare API Key - no key is set in the environment or request parameters")
+        return api_base or litellm.api_base or get_secret_str("CLOUDFLARE_API_BASE"), resolved_api_key
+    return (
+        api_base
+        or litellm.api_base
+        or get_secret_str("VERCEL_AI_GATEWAY_API_BASE")
+        or "https://ai-gateway.vercel.sh/v1",
+        api_key
+        or litellm.api_key
+        or get_secret_str("VERCEL_AI_GATEWAY_API_KEY")
+        or get_secret_str("VERCEL_OIDC_TOKEN"),
+    )
+
+
 # fmt: off
 
 # Overload for when aembedding=True (returns coroutine)
@@ -6531,41 +6555,10 @@ def embedding(
                 litellm_params=litellm_params_dict,
                 headers=headers,
             )
-        elif custom_llm_provider == "vercel_ai_gateway":
-            api_base = (
-                api_base
-                or litellm.api_base
-                or get_secret_str("VERCEL_AI_GATEWAY_API_BASE")
-                or "https://ai-gateway.vercel.sh/v1"
+        elif custom_llm_provider in ("vercel_ai_gateway", "cloudflare"):
+            api_base, api_key = _resolve_vercel_or_cloudflare_embedding_credentials(
+                custom_llm_provider, api_base, api_key
             )
-
-            api_key = (
-                api_key
-                or litellm.api_key
-                or get_secret_str("VERCEL_AI_GATEWAY_API_KEY")
-                or get_secret_str("VERCEL_OIDC_TOKEN")
-            )
-
-            response = base_llm_http_handler.embedding(
-                model=model,
-                input=input,
-                custom_llm_provider=custom_llm_provider,
-                api_base=api_base,
-                api_key=api_key,
-                logging_obj=logging,
-                timeout=timeout,
-                model_response=EmbeddingResponse(),
-                optional_params=optional_params,
-                client=client,
-                aembedding=aembedding,
-                litellm_params=litellm_params_dict,
-                headers=headers,
-            )
-        elif custom_llm_provider == "cloudflare":
-            api_key = api_key or litellm.cloudflare_api_key or litellm.api_key or get_secret_str("CLOUDFLARE_API_KEY")
-            if api_key is None:
-                raise ValueError("Missing Cloudflare API Key - no key is set in the environment or request parameters")
-            api_base = api_base or litellm.api_base or get_secret_str("CLOUDFLARE_API_BASE")
             response = base_llm_http_handler.embedding(
                 model=model,
                 input=input,