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* perf(realtime): eliminate redundant per-frame JSON work on OpenAI realtime relay The GA realtime support added in #27110 made backend_to_client_send_messages parse every backend frame up to three times for beta clients (OpenAI-Beta: realtime=v1), build a discarded Pydantic object per frame for logging, and re-serialize even frames that need no translation. For high-frequency response.output_audio.delta frames carrying multi-KB base64 payloads, that serialized CPU work on the hottest relay path drove the latency regression between v1.83.14 and v1.88.1 for gpt-realtime-1.5 and gpt-realtime-2. This parses each frame once via _parse_backend_event and threads the dict into _handle_raw_backend_message, store_message, and _translate_event_to_beta; short-circuits store_message before the Pydantic build for events not in the logged set; returns the original event unchanged from _translate_event_to_beta when no rename applies so the raw frame is forwarded without re-serialization; and only json.dumps when the type is actually renamed. * fix(realtime): widen store_message type hint to accept plain dict The parse-once refactor passes the dict produced by _parse_backend_event into store_message, but the parameter was typed as str | bytes | OpenAIRealtimeEvents (a union of TypedDicts), which mypy does not consider compatible with a plain dict. Add dict to the accepted union; the body already handles it. --------- Co-authored-by: Miguel Armenta <maarmenta92@gmail.com>