chore: initial snapshot for gitea/github upload

llm-gateway-competitors/litellm-wheel-src/litellm/proxy/common_utils/realtime_utils.py

@@ -0,0 +1,13 @@
+from functools import lru_cache
+from typing import Optional
+
+from litellm.constants import _REALTIME_BODY_CACHE_SIZE
+
+
+@lru_cache(maxsize=_REALTIME_BODY_CACHE_SIZE)
+def _realtime_request_body(model: Optional[str]) -> bytes:
+    """
+    Generate the realtime websocket request body. Cached with LRU semantics to avoid repeated
+    string formatting work while keeping memory usage bounded.
+    """
+    return f'{{"model": "{model or ""}"}}'.encode()