diff --git a/litellm/litellm_core_utils/realtime_streaming.py b/litellm/litellm_core_utils/realtime_streaming.py
index ed584733abc..6ba1b48c647 100644
--- a/litellm/litellm_core_utils/realtime_streaming.py
+++ b/litellm/litellm_core_utils/realtime_streaming.py
@@ -43,6 +43,7 @@ class RealTimeStreaming:
         provider_config: Optional[BaseRealtimeConfig] = None,
         model: str = "",
         user_api_key_dict: Optional[Any] = None,
+        request_data: Optional[Dict] = None,
     ):
         self.websocket = websocket
         self.backend_ws = backend_ws
@@ -68,6 +69,7 @@ class RealTimeStreaming:
         self.current_delta_type: Optional[ALL_DELTA_TYPES] = None
         self.session_configuration_request: Optional[str] = None
         self.user_api_key_dict = user_api_key_dict
+        self.request_data: Dict = request_data or {}
         # Violation counter for end_session_after_n_fails support
         self._violation_count: int = 0
 
@@ -233,14 +235,40 @@ class RealTimeStreaming:
             await self.backend_ws.send(message)
 
     def _has_realtime_guardrails(self) -> bool:
-        """Return True if any callback is registered for realtime_input_transcription."""
+        """Return True if any callback is registered for realtime guardrail event types."""
+        from litellm.integrations.custom_guardrail import CustomGuardrail
+        from litellm.types.guardrails import GuardrailEventHooks
+
+        _realtime_event_types = [
+            GuardrailEventHooks.realtime_input_transcription,
+            GuardrailEventHooks.pre_call,
+            GuardrailEventHooks.post_call,
+        ]
+        return any(
+            isinstance(cb, CustomGuardrail)
+            and any(
+                cb.should_run_guardrail(
+                    data=self.request_data,
+                    event_type=et,
+                )
+                for et in _realtime_event_types
+            )
+            for cb in litellm.callbacks
+        )
+
+    def _has_audio_transcription_guardrails(self) -> bool:
+        """Return True if any callback needs to run on audio transcriptions (VAD path).
+
+        When this returns True, we inject a session.update to disable the LLM's
+        auto-response so the guardrail can gate it first.
+        """
         from litellm.integrations.custom_guardrail import CustomGuardrail
         from litellm.types.guardrails import GuardrailEventHooks
 
         return any(
             isinstance(cb, CustomGuardrail)
             and cb.should_run_guardrail(
-                data={},
+                data=self.request_data,
                 event_type=GuardrailEventHooks.realtime_input_transcription,
             )
             for cb in litellm.callbacks
@@ -260,17 +288,25 @@ class RealTimeStreaming:
         from litellm.integrations.custom_guardrail import CustomGuardrail
         from litellm.types.guardrails import GuardrailEventHooks
 
+        _realtime_event_types = [
+            GuardrailEventHooks.realtime_input_transcription,
+            GuardrailEventHooks.pre_call,
+            GuardrailEventHooks.post_call,
+        ]
+        _check_data = {**self.request_data, "transcript": transcript}
+        _already_run: set = set()
+
         for callback in litellm.callbacks:
             if not isinstance(callback, CustomGuardrail):
                 continue
-            if (
-                callback.should_run_guardrail(
-                    data={"transcript": transcript},
-                    event_type=GuardrailEventHooks.realtime_input_transcription,
-                )
-                is not True
+            if id(callback) in _already_run:
+                continue
+            if not any(
+                callback.should_run_guardrail(data=_check_data, event_type=et)
+                for et in _realtime_event_types
             ):
                 continue
+            _already_run.add(id(callback))
             try:
                 await callback.apply_guardrail(
                     inputs={"texts": [transcript], "images": []},
@@ -297,21 +333,17 @@ class RealTimeStreaming:
                     safe_msg = str(e) or "I'm sorry, that request was blocked by the content filter."
 
                 # Use realtime_violation_message if configured; fall back to guardrail error text.
-                spoken_msg = getattr(callback, "realtime_violation_message", None) or safe_msg
+                error_msg = getattr(callback, "realtime_violation_message", None) or safe_msg
 
-                # Cancel any in-flight response before speaking the warning.
-                await self._send_to_backend(json.dumps({"type": "response.cancel"}))
-                # Ask the model to speak the violation message — TTS plays naturally in the client.
-                await self._send_to_backend(
+                # Return the error directly to the WebSocket consumer.
+                await self.websocket.send_text(
                     json.dumps(
                         {
-                            "type": "response.create",
-                            "response": {
-                                "modalities": ["text", "audio"],
-                                "instructions": (
-                                    f"Say exactly and only: \"{spoken_msg}\". "
-                                    "Do not add anything else."
-                                ),
+                            "type": "error",
+                            "error": {
+                                "type": "guardrail_violation",
+                                "message": error_msg,
+                                "code": "content_policy_violation",
                             },
                         }
                     )
@@ -370,25 +402,25 @@ class RealTimeStreaming:
             if isinstance(transformed_response, list)
             else [transformed_response]
         )
-        for event in events:
-            ## GUARDRAIL: inject create_response=false on session.created
-            if isinstance(event, dict) and event.get("type") == "session.created":
-                if self._has_realtime_guardrails():
-                    await self._send_to_backend(
-                        json.dumps(
-                            {
-                                "type": "session.update",
-                                "session": {
-                                    "turn_detection": {
-                                        "type": "server_vad",
-                                        "create_response": False,
-                                    }
-                                },
-                            }
-                        )
-                    )
         for event in events:
             event_str = json.dumps(event)
+            ## For audio/VAD guardrail path: forward session.created first, then inject.
+            if (
+                isinstance(event, dict)
+                and event.get("type") == "session.created"
+                and self._has_audio_transcription_guardrails()
+            ):
+                self.store_message(event_str)
+                await self.websocket.send_text(event_str)
+                await self._send_to_backend(
+                    json.dumps(
+                        {
+                            "type": "session.update",
+                            "session": {"turn_detection": {"create_response": False}},
+                        }
+                    )
+                )
+                continue
             ## GUARDRAIL: run on transcription events in provider_config path too
             if (
                 isinstance(event, dict)
@@ -419,27 +451,26 @@ class RealTimeStreaming:
         try:
             event_obj = json.loads(raw_response)
 
-            if event_obj.get("type") == "session.created":
-                # If any realtime guardrails are registered, proactively
-                # set create_response=false so the LLM never auto-responds
-                # before our guardrail has a chance to run.
-                if self._has_realtime_guardrails():
-                    await self._send_to_backend(
-                        json.dumps(
-                            {
-                                "type": "session.update",
-                                "session": {
-                                    "turn_detection": {
-                                        "type": "server_vad",
-                                        "create_response": False,
-                                    }
-                                },
-                            }
-                        )
-                    )
-                    verbose_logger.debug(
-                        "[realtime guardrail] injected create_response=false into session"
+            # For audio/VAD guardrail path: once the session is ready, tell the backend
+            # not to auto-respond after VAD detects end-of-speech.  We send the
+            # session.created to the client FIRST so the client is always in sync, then
+            # inject the session.update so a potential error from the backend doesn't
+            # arrive before the client sees session.created.
+            if (
+                event_obj.get("type") == "session.created"
+                and self._has_audio_transcription_guardrails()
+            ):
+                self.store_message(raw_response)
+                await self.websocket.send_text(raw_response)
+                await self._send_to_backend(
+                    json.dumps(
+                        {
+                            "type": "session.update",
+                            "session": {"turn_detection": {"create_response": False}},
+                        }
                     )
+                )
+                return True
 
             if (
                 event_obj.get("type")
diff --git a/litellm/llms/azure/realtime/handler.py b/litellm/llms/azure/realtime/handler.py
index e533978e07a..8f4291ec271 100644
--- a/litellm/llms/azure/realtime/handler.py
+++ b/litellm/llms/azure/realtime/handler.py
@@ -6,13 +6,13 @@ This requires websockets, and is currently only supported on LiteLLM Proxy.
 
 from typing import Any, Optional, cast
 
+from litellm._logging import verbose_proxy_logger
 from litellm.constants import REALTIME_WEBSOCKET_MAX_MESSAGE_SIZE_BYTES
 
 from ....litellm_core_utils.litellm_logging import Logging as LiteLLMLogging
 from ....litellm_core_utils.realtime_streaming import RealTimeStreaming
 from ....llms.custom_httpx.http_handler import get_shared_realtime_ssl_context
 from ..azure import AzureChatCompletion
-from litellm._logging import verbose_proxy_logger
 
 # BACKEND_WS_URL = "ws://localhost:8080/v1/realtime?model=gpt-4o-realtime-preview-2024-10-01"
 
@@ -77,6 +77,8 @@ class AzureOpenAIRealtime(AzureChatCompletion):
         client: Optional[Any] = None,
         timeout: Optional[float] = None,
         realtime_protocol: Optional[str] = None,
+        user_api_key_dict: Optional[Any] = None,
+        litellm_metadata: Optional[dict] = None,
     ):
         import websockets
         from websockets.asyncio.client import ClientConnection
@@ -101,7 +103,11 @@ class AzureOpenAIRealtime(AzureChatCompletion):
                 ssl=ssl_context,
             ) as backend_ws:
                 realtime_streaming = RealTimeStreaming(
-                    websocket, cast(ClientConnection, backend_ws), logging_obj
+                    websocket,
+                    cast(ClientConnection, backend_ws),
+                    logging_obj,
+                    user_api_key_dict=user_api_key_dict,
+                    request_data={"litellm_metadata": litellm_metadata or {}},
                 )
                 await realtime_streaming.bidirectional_forward()
 
diff --git a/litellm/llms/openai/realtime/handler.py b/litellm/llms/openai/realtime/handler.py
index c2fccfc7289..05915e36a69 100644
--- a/litellm/llms/openai/realtime/handler.py
+++ b/litellm/llms/openai/realtime/handler.py
@@ -99,6 +99,7 @@ class OpenAIRealtime(OpenAIChatCompletion):
         timeout: Optional[float] = None,
         query_params: Optional[RealtimeQueryParams] = None,
         user_api_key_dict: Optional[Any] = None,
+        litellm_metadata: Optional[dict] = None,
         **kwargs: Any,
     ):
         import websockets
@@ -142,6 +143,7 @@ class OpenAIRealtime(OpenAIChatCompletion):
                     cast(ClientConnection, backend_ws),
                     logging_obj,
                     user_api_key_dict=user_api_key_dict,
+                    request_data={"litellm_metadata": litellm_metadata or {}},
                 )
                 await realtime_streaming.bidirectional_forward()
 
diff --git a/litellm/realtime_api/main.py b/litellm/realtime_api/main.py
index e4c8f648190..df49d4c54b2 100644
--- a/litellm/realtime_api/main.py
+++ b/litellm/realtime_api/main.py
@@ -32,6 +32,15 @@ vertex_llm_base = VertexBase()
 base_llm_http_handler = BaseLLMHTTPHandler()
 
 
+def _build_litellm_metadata(kwargs: dict) -> dict:
+    """Build the litellm_metadata dict for guardrail checking (internal only, not forwarded to provider)."""
+    metadata: dict = {**(kwargs.get("litellm_metadata") or {})}
+    guardrails = (kwargs.get("metadata") or {}).get("guardrails") or kwargs.get("guardrails") or []
+    if guardrails:
+        metadata["guardrails"] = guardrails
+    return metadata
+
+
 @wrapper_client
 async def _arealtime(
     model: str,
@@ -134,6 +143,8 @@ async def _arealtime(
             timeout=timeout,
             logging_obj=litellm_logging_obj,
             realtime_protocol=realtime_protocol,
+            user_api_key_dict=kwargs.get("user_api_key_dict"),
+            litellm_metadata=_build_litellm_metadata(kwargs),
         )
     elif _custom_llm_provider == "openai":
         api_base = (
@@ -160,6 +171,7 @@ async def _arealtime(
             timeout=timeout,
             query_params=query_params,
             user_api_key_dict=kwargs.get("user_api_key_dict"),
+            litellm_metadata=_build_litellm_metadata(kwargs),
         )
     elif _custom_llm_provider == "bedrock":
         # Extract AWS parameters from kwargs
@@ -217,6 +229,8 @@ async def _arealtime(
             client=None,
             timeout=timeout,
             query_params=query_params,
+            user_api_key_dict=kwargs.get("user_api_key_dict"),
+            litellm_metadata=_build_litellm_metadata(kwargs),
         )
     elif _custom_llm_provider == "vertex_ai":
         vertex_credentials = (
diff --git a/tests/test_litellm/litellm_core_utils/test_realtime_streaming.py b/tests/test_litellm/litellm_core_utils/test_realtime_streaming.py
index 531504af382..bcda3c7bfac 100644
--- a/tests/test_litellm/litellm_core_utils/test_realtime_streaming.py
+++ b/tests/test_litellm/litellm_core_utils/test_realtime_streaming.py
@@ -21,6 +21,16 @@ from litellm.types.llms.openai import (
 )
 
 
+def _make_transcript_event(text: str, item_id: str = "item_x") -> bytes:
+    return json.dumps(
+        {
+            "type": "conversation.item.input_audio_transcription.completed",
+            "transcript": text,
+            "item_id": item_id,
+        }
+    ).encode()
+
+
 def test_realtime_streaming_store_message():
     # Setup
     websocket = MagicMock()
@@ -420,32 +430,32 @@ async def test_realtime_guardrail_blocks_prompt_injection():
     streaming = RealTimeStreaming(client_ws, backend_ws, logging_obj)
     await streaming.backend_to_client_send_messages()
 
-    # ASSERT 1: no bare response.create was sent to backend (injection blocked).
-    # The only response.create allowed is the warning one (has "instructions" field).
+    # ASSERT 1: no response.create was sent to backend (injection blocked).
     sent_to_backend = [
         json.loads(c.args[0])
         for c in backend_ws.send.call_args_list
         if c.args
     ]
-    bare_response_creates = [
+    response_creates = [
         e for e in sent_to_backend
         if e.get("type") == "response.create"
-        and "instructions" not in e.get("response", {})
     ]
-    assert len(bare_response_creates) == 0, (
-        f"Guardrail should prevent bare response.create for injected content, "
-        f"but got: {bare_response_creates}"
+    assert len(response_creates) == 0, (
+        f"Guardrail should prevent response.create for injected content, "
+        f"but got: {response_creates}"
     )
 
-    # ASSERT 2: warning response.create was sent to backend (to speak the block message)
-    warning_creates = [
-        e for e in sent_to_backend
-        if e.get("type") == "response.create"
-        and "instructions" in e.get("response", {})
+    # ASSERT 2: error event was sent directly to the client WebSocket
+    sent_to_client = [
+        json.loads(c.args[0]) for c in client_ws.send_text.call_args_list
+        if c.args
     ]
-    assert len(warning_creates) > 0, (
-        f"Backend should receive a response.create with warning instructions, "
-        f"but got: {sent_to_backend}"
+    error_events = [e for e in sent_to_client if e.get("type") == "error"]
+    assert len(error_events) == 1, (
+        f"Expected one error event sent to client, got: {sent_to_client}"
+    )
+    assert error_events[0]["error"]["type"] == "guardrail_violation", (
+        f"Expected guardrail_violation error type, got: {error_events[0]}"
     )
 
     litellm.callbacks = []  # cleanup
@@ -518,11 +528,91 @@ async def test_realtime_guardrail_allows_clean_transcript():
 
 
 @pytest.mark.asyncio
-async def test_realtime_session_created_injects_create_response_false():
+async def test_realtime_text_input_guardrail_blocks_and_returns_error():
     """
-    Test that when session.created arrives from the backend and realtime guardrails
-    are registered, the proxy injects a session.update with create_response=False
-    so the LLM never auto-responds before the guardrail runs.
+    Test that when conversation.item.create arrives with text that triggers a guardrail,
+    the proxy blocks it (doesn't forward to backend) and returns an error event directly
+    to the client WebSocket.
+    """
+    from fastapi import HTTPException
+
+    import litellm
+    from litellm.integrations.custom_guardrail import CustomGuardrail
+    from litellm.types.guardrails import GuardrailEventHooks
+
+    class BlockingGuardrail(CustomGuardrail):
+        async def apply_guardrail(self, inputs, request_data, input_type, logging_obj=None):
+            texts = inputs.get("texts", [])
+            for text in texts:
+                if "@" in text:
+                    raise HTTPException(
+                        status_code=403,
+                        detail={"error": "email address detected"},
+                    )
+            return inputs
+
+    guardrail = BlockingGuardrail(
+        guardrail_name="email-blocker",
+        event_hook=GuardrailEventHooks.pre_call,
+        default_on=True,
+    )
+    litellm.callbacks = [guardrail]
+
+    client_ws = MagicMock()
+    client_ws.send_text = AsyncMock()
+
+    backend_ws = MagicMock()
+    backend_ws.send = AsyncMock()
+    backend_ws.recv = AsyncMock(side_effect=ConnectionClosed(None, None))
+
+    logging_obj = MagicMock()
+    logging_obj.pre_call = MagicMock()
+
+    streaming = RealTimeStreaming(client_ws, backend_ws, logging_obj)
+
+    item_create_msg = json.dumps({
+        "type": "conversation.item.create",
+        "item": {
+            "role": "user",
+            "content": [{"type": "input_text", "text": "My email is test@example.com"}],
+        },
+    })
+
+    # Simulate the client sending a conversation.item.create with an email
+    client_ws.receive_text = AsyncMock(
+        side_effect=[
+            item_create_msg,
+            Exception("connection closed"),  # stop the loop
+        ]
+    )
+
+    await streaming.client_ack_messages()
+
+    # ASSERT: error event was sent to client
+    assert client_ws.send_text.called, "Expected error to be sent to client websocket"
+    sent_texts = [json.loads(c.args[0]) for c in client_ws.send_text.call_args_list]
+    error_events = [e for e in sent_texts if e.get("type") == "error"]
+    assert len(error_events) == 1, f"Expected one error event, got: {sent_texts}"
+    assert error_events[0]["error"]["type"] == "guardrail_violation"
+
+    # ASSERT: blocked item was NOT forwarded to the backend
+    sent_to_backend = [c.args[0] for c in backend_ws.send.call_args_list if c.args]
+    forwarded_items = [
+        json.loads(m) for m in sent_to_backend
+        if isinstance(m, str) and json.loads(m).get("type") == "conversation.item.create"
+    ]
+    assert len(forwarded_items) == 0, (
+        f"Blocked item should not be forwarded to backend, got: {forwarded_items}"
+    )
+
+    litellm.callbacks = []  # cleanup
+
+
+@pytest.mark.asyncio
+async def test_realtime_text_input_guardrail_uses_pre_call_mode():
+    """
+    Test that _has_realtime_guardrails returns True for a guardrail configured with
+    pre_call mode (not just realtime_input_transcription).
     """
     import litellm
     from litellm.integrations.custom_guardrail import CustomGuardrail
@@ -533,7 +623,46 @@ async def test_realtime_session_created_injects_create_response_false():
             return inputs
 
     guardrail = DummyGuardrail(
-        guardrail_name="dummy",
+        guardrail_name="pre-call-guardrail",
+        event_hook=GuardrailEventHooks.pre_call,
+        default_on=True,
+    )
+    litellm.callbacks = [guardrail]
+
+    client_ws = MagicMock()
+    backend_ws = MagicMock()
+    logging_obj = MagicMock()
+    streaming = RealTimeStreaming(client_ws, backend_ws, logging_obj)
+
+    assert streaming._has_realtime_guardrails() is True, (
+        "pre_call guardrail should be recognized as a realtime guardrail"
+    )
+    # pre_call guardrail should NOT trigger the audio/VAD session.update injection
+    assert streaming._has_audio_transcription_guardrails() is False, (
+        "pre_call guardrail should not trigger audio transcription guardrail path"
+    )
+
+    litellm.callbacks = []  # cleanup
+
+
+@pytest.mark.asyncio
+async def test_realtime_session_created_injects_session_update_for_audio_guardrail():
+    """
+    Test that when an audio transcription guardrail is configured, a session.created
+    event from the backend triggers a session.update injection (create_response: false)
+    AFTER forwarding session.created to the client.  This prevents the LLM from
+    auto-responding before the guardrail can run on the transcript.
+    """
+    import litellm
+    from litellm.integrations.custom_guardrail import CustomGuardrail
+    from litellm.types.guardrails import GuardrailEventHooks
+
+    class AudioGuardrail(CustomGuardrail):
+        async def apply_guardrail(self, inputs, request_data, input_type, logging_obj=None):
+            return inputs
+
+    guardrail = AudioGuardrail(
+        guardrail_name="audio-guardrail",
         event_hook=GuardrailEventHooks.realtime_input_transcription,
         default_on=True,
     )
@@ -542,34 +671,93 @@ async def test_realtime_session_created_injects_create_response_false():
     client_ws = MagicMock()
     client_ws.send_text = AsyncMock()
 
-    session_created_event = json.dumps({"type": "session.created"}).encode()
+    session_created_event = json.dumps(
+        {"type": "session.created", "session": {"id": "sess_abc"}}
+    ).encode()
 
     backend_ws = MagicMock()
     backend_ws.recv = AsyncMock(
-        side_effect=[
-            session_created_event,
-            ConnectionClosed(None, None),
-        ]
+        side_effect=[session_created_event, ConnectionClosed(None, None)]
     )
     backend_ws.send = AsyncMock()
 
     logging_obj = MagicMock()
     logging_obj.async_success_handler = AsyncMock()
     logging_obj.success_handler = MagicMock()
+
     streaming = RealTimeStreaming(client_ws, backend_ws, logging_obj)
     await streaming.backend_to_client_send_messages()
 
-    # ASSERT: proxy injected session.update with create_response=False to backend
+    # session.created must be forwarded to the client
+    sent_to_client = [
+        json.loads(c.args[0]) for c in client_ws.send_text.call_args_list if c.args
+    ]
+    session_created_events = [e for e in sent_to_client if e.get("type") == "session.created"]
+    assert len(session_created_events) == 1, (
+        f"session.created should be forwarded to client, got: {sent_to_client}"
+    )
+
+    # session.update must be sent to the backend AFTER session.created was forwarded
     sent_to_backend = [
         json.loads(c.args[0]) for c in backend_ws.send.call_args_list if c.args
     ]
     session_updates = [e for e in sent_to_backend if e.get("type") == "session.update"]
     assert len(session_updates) == 1, (
-        f"Expected proxy to inject session.update, got: {sent_to_backend}"
+        f"Expected one session.update injected to backend, got: {sent_to_backend}"
     )
-    td = session_updates[0]["session"]["turn_detection"]
-    assert td["create_response"] is False, (
-        f"Expected create_response=False, got: {td}"
+    assert session_updates[0]["session"]["turn_detection"]["create_response"] is False
+
+    litellm.callbacks = []  # cleanup
+
+
+@pytest.mark.asyncio
+async def test_realtime_session_created_no_injection_for_pre_call_only():
+    """
+    Test that when only a pre_call guardrail is configured (no audio transcription),
+    session.created does NOT trigger the session.update injection.
+    """
+    import litellm
+    from litellm.integrations.custom_guardrail import CustomGuardrail
+    from litellm.types.guardrails import GuardrailEventHooks
+
+    class PreCallGuardrail(CustomGuardrail):
+        async def apply_guardrail(self, inputs, request_data, input_type, logging_obj=None):
+            return inputs
+
+    guardrail = PreCallGuardrail(
+        guardrail_name="pre-call-only",
+        event_hook=GuardrailEventHooks.pre_call,
+        default_on=True,
+    )
+    litellm.callbacks = [guardrail]
+
+    client_ws = MagicMock()
+    client_ws.send_text = AsyncMock()
+
+    session_created_event = json.dumps(
+        {"type": "session.created", "session": {"id": "sess_xyz"}}
+    ).encode()
+
+    backend_ws = MagicMock()
+    backend_ws.recv = AsyncMock(
+        side_effect=[session_created_event, ConnectionClosed(None, None)]
+    )
+    backend_ws.send = AsyncMock()
+
+    logging_obj = MagicMock()
+    logging_obj.async_success_handler = AsyncMock()
+    logging_obj.success_handler = MagicMock()
+
+    streaming = RealTimeStreaming(client_ws, backend_ws, logging_obj)
+    await streaming.backend_to_client_send_messages()
+
+    # No session.update should be injected
+    sent_to_backend = [
+        json.loads(c.args[0]) for c in backend_ws.send.call_args_list if c.args
+    ]
+    session_updates = [e for e in sent_to_backend if e.get("type") == "session.update"]
+    assert len(session_updates) == 0, (
+        f"pre_call guardrail should NOT inject session.update, got: {sent_to_backend}"
     )
 
     litellm.callbacks = []  # cleanup
@@ -581,6 +769,7 @@ async def test_end_session_after_n_fails_closes_connection():
     Test that end_session_after_n_fails=2 closes the backend websocket after
     the second guardrail violation in a session.
     """
+
     class BadWordGuardrail(CustomGuardrail):
         async def apply_guardrail(self, inputs, request_data, input_type, logging_obj=None):
             for text in inputs.get("texts", []):
@@ -599,18 +788,11 @@ async def test_end_session_after_n_fails_closes_connection():
     client_ws = MagicMock()
     client_ws.send_text = AsyncMock()
 
-    def make_transcript_event(text):
-        return json.dumps({
-            "type": "conversation.item.input_audio_transcription.completed",
-            "transcript": text,
-            "item_id": "item_x",
-        }).encode()
-
     backend_ws = MagicMock()
     backend_ws.recv = AsyncMock(
         side_effect=[
-            make_transcript_event("this is blocked"),    # violation 1 — warn
-            make_transcript_event("also blocked again"), # violation 2 — end session
+            _make_transcript_event("this is blocked"),    # violation 1 — warn
+            _make_transcript_event("also blocked again"), # violation 2 — end session
             ConnectionClosed(None, None),
         ]
     )
@@ -635,6 +817,7 @@ async def test_on_violation_end_session_closes_on_first_fail():
     Test that on_violation='end_session' closes the session immediately on the
     first violation, regardless of end_session_after_n_fails.
     """
+
     class TopicGuardrail(CustomGuardrail):
         async def apply_guardrail(self, inputs, request_data, input_type, logging_obj=None):
             for text in inputs.get("texts", []):
@@ -656,11 +839,7 @@ async def test_on_violation_end_session_closes_on_first_fail():
     backend_ws = MagicMock()
     backend_ws.recv = AsyncMock(
         side_effect=[
-            json.dumps({
-                "type": "conversation.item.input_audio_transcription.completed",
-                "transcript": "What stock should I buy today?",
-                "item_id": "item_y",
-            }).encode(),
+            _make_transcript_event("What stock should I buy today?", item_id="item_y"),
             ConnectionClosed(None, None),
         ]
     )
diff --git a/ui/litellm-dashboard/package-lock.json b/ui/litellm-dashboard/package-lock.json
index cc04e674003..503ed4a62a8 100644
--- a/ui/litellm-dashboard/package-lock.json
+++ b/ui/litellm-dashboard/package-lock.json
@@ -90,7 +90,6 @@
       "version": "5.2.0",
       "resolved": "https://registry.npmjs.org/@alloc/quick-lru/-/quick-lru-5.2.0.tgz",
       "integrity": "sha512-UrcABB+4bUrFABwbluTIBErXwvbsU/V7TZWfmbgJfbkwiBuziS9gxdODUyuiecfdGQ85jglMW6juS3+z5TsKLw==",
-      "dev": true,
       "license": "MIT",
       "engines": {
         "node": ">=10"
@@ -1772,7 +1771,6 @@
       "version": "0.3.13",
       "resolved": "https://registry.npmjs.org/@jridgewell/gen-mapping/-/gen-mapping-0.3.13.tgz",
       "integrity": "sha512-2kkt/7niJ6MgEPxF0bYdQ6etZaA+fQvDcLKckhy1yIQOzaoKjBBjSj63/aLVjYE3qhRt5dvM+uUyfCg6UKCBbA==",
-      "dev": true,
       "license": "MIT",
       "dependencies": {
         "@jridgewell/sourcemap-codec": "^1.5.0",
@@ -1783,7 +1781,6 @@
       "version": "3.1.2",
       "resolved": "https://registry.npmjs.org/@jridgewell/resolve-uri/-/resolve-uri-3.1.2.tgz",
       "integrity": "sha512-bRISgCIjP20/tbWSPWMEi54QVPRZExkuD9lJL+UIxUKtwVJA8wW1Trb1jMs1RFXo1CBTNZ/5hpC9QvmKWdopKw==",
-      "dev": true,
       "license": "MIT",
       "engines": {
         "node": ">=6.0.0"
@@ -1793,14 +1790,12 @@
       "version": "1.5.5",
       "resolved": "https://registry.npmjs.org/@jridgewell/sourcemap-codec/-/sourcemap-codec-1.5.5.tgz",
       "integrity": "sha512-cYQ9310grqxueWbl+WuIUIaiUaDcj7WOq5fVhEljNVgRfOUhY9fy2zTvfoqWsnebh8Sl70VScFbICvJnLKB0Og==",
-      "dev": true,
       "license": "MIT"
     },
     "node_modules/@jridgewell/trace-mapping": {
       "version": "0.3.31",
       "resolved": "https://registry.npmjs.org/@jridgewell/trace-mapping/-/trace-mapping-0.3.31.tgz",
       "integrity": "sha512-zzNR+SdQSDJzc8joaeP8QQoCQr8NuYx2dIIytl1QeBEZHJ9uW6hebsrYgbz8hJwUQao3TWCMtmfV8Nu1twOLAw==",
-      "dev": true,
       "license": "MIT",
       "dependencies": {
         "@jridgewell/resolve-uri": "^3.1.0",
@@ -1978,7 +1973,6 @@
       "version": "2.1.5",
       "resolved": "https://registry.npmjs.org/@nodelib/fs.scandir/-/fs.scandir-2.1.5.tgz",
       "integrity": "sha512-vq24Bq3ym5HEQm2NKCr3yXDwjc7vTsEThRDnkp2DK9p1uqLR+DHurm/NOTo0KG7HYHU7eppKZj3MyqYuMBf62g==",
-      "dev": true,
       "license": "MIT",
       "dependencies": {
         "@nodelib/fs.stat": "2.0.5",
@@ -1992,7 +1986,6 @@
       "version": "2.0.5",
       "resolved": "https://registry.npmjs.org/@nodelib/fs.stat/-/fs.stat-2.0.5.tgz",
       "integrity": "sha512-RkhPPp2zrqDAQA/2jNhnztcPAlv64XdhIp7a7454A5ovI7Bukxgt7MX7udwAu3zg1DcpPU0rz3VV1SeaqvY4+A==",
-      "dev": true,
       "license": "MIT",
       "engines": {
         "node": ">= 8"
@@ -2002,7 +1995,6 @@
       "version": "1.2.8",
       "resolved": "https://registry.npmjs.org/@nodelib/fs.walk/-/fs.walk-1.2.8.tgz",
       "integrity": "sha512-oGB+UxlgWcgQkgwo8GcEGwemoTFt3FIO9ababBmaGwXIoBKZ+GTy0pP185beGg7Llih/NSHSV2XAs1lnznocSg==",
-      "dev": true,
       "license": "MIT",
       "dependencies": {
         "@nodelib/fs.scandir": "2.1.5",
@@ -2326,7 +2318,7 @@
       "version": "1.58.1",
       "resolved": "https://registry.npmjs.org/@playwright/test/-/test-1.58.1.tgz",
       "integrity": "sha512-6LdVIUERWxQMmUSSQi0I53GgCBYgM2RpGngCPY7hSeju+VrKjq3lvs7HpJoPbDiY5QM5EYRtRX5fvrinnMAz3w==",
-      "dev": true,
+      "devOptional": true,
       "license": "Apache-2.0",
       "dependencies": {
         "playwright": "1.58.1"
@@ -3431,14 +3423,12 @@
       "version": "15.7.15",
       "resolved": "https://registry.npmjs.org/@types/prop-types/-/prop-types-15.7.15.tgz",
       "integrity": "sha512-F6bEyamV9jKGAFBEmlQnesRPGOQqS2+Uwi0Em15xenOxHaf2hv6L8YCVn3rPdPJOiJfPiCnLIRyvwVaqMY3MIw==",
-      "dev": true,
       "license": "MIT"
     },
     "node_modules/@types/react": {
       "version": "18.2.48",
       "resolved": "https://registry.npmjs.org/@types/react/-/react-18.2.48.tgz",
       "integrity": "sha512-qboRCl6Ie70DQQG9hhNREz81jqC1cs9EVNcjQ1AU+jH6NFfSAhVVbrrY/+nSF+Bsk4AOwm9Qa61InvMCyV+H3w==",
-      "dev": true,
       "license": "MIT",
       "dependencies": {
         "@types/prop-types": "*",
@@ -3480,7 +3470,6 @@
       "version": "0.26.0",
       "resolved": "https://registry.npmjs.org/@types/scheduler/-/scheduler-0.26.0.tgz",
       "integrity": "sha512-WFHp9YUJQ6CKshqoC37iOlHnQSmxNc795UhB26CyBBttrN9svdIrUjl/NjnNmfcwtncN0h/0PPAFWv9ovP8mLA==",
-      "dev": true,
       "license": "MIT"
     },
     "node_modules/@types/unist": {
@@ -4341,14 +4330,12 @@
       "version": "1.3.0",
       "resolved": "https://registry.npmjs.org/any-promise/-/any-promise-1.3.0.tgz",
       "integrity": "sha512-7UvmKalWRt1wgjL1RrGxoSJW/0QZFIegpeGvZG9kjp8vrRu55XTHbwnqq2GpXm9uLbcuhxm3IqX9OB4MZR1b2A==",
-      "dev": true,
       "license": "MIT"
     },
     "node_modules/anymatch": {
       "version": "3.1.3",
       "resolved": "https://registry.npmjs.org/anymatch/-/anymatch-3.1.3.tgz",
       "integrity": "sha512-KMReFUr0B4t+D+OBkjR3KYqvocp2XaSzO55UcB6mgQMd3KbcE+mWTyvVV7D/zsdEbNnV6acZUutkiHQXvTr1Rw==",
-      "dev": true,
       "license": "ISC",
       "dependencies": {
         "normalize-path": "^3.0.0",
@@ -4362,7 +4349,6 @@
       "version": "2.3.1",
       "resolved": "https://registry.npmjs.org/picomatch/-/picomatch-2.3.1.tgz",
       "integrity": "sha512-JU3teHTNjmE2VCGFzuY8EXzCDVwEqB2a8fsIvwaStHhAWJEeVd1o1QD80CU6+ZdEXXSLbSsuLwJjkCBWqRQUVA==",
-      "dev": true,
       "license": "MIT",
       "engines": {
         "node": ">=8.6"
@@ -4375,7 +4361,6 @@
       "version": "5.0.2",
       "resolved": "https://registry.npmjs.org/arg/-/arg-5.0.2.tgz",
       "integrity": "sha512-PYjyFOLKQ9y57JvQ6QLo8dAgNqswh8M1RMJYdQduT6xbWSgK36P/Z/v+p888pM69jMMfS8Xd8F6I1kQ/I9HUGg==",
-      "dev": true,
       "license": "MIT"
     },
     "node_modules/argparse": {
@@ -4747,7 +4732,6 @@
       "version": "2.3.0",
       "resolved": "https://registry.npmjs.org/binary-extensions/-/binary-extensions-2.3.0.tgz",
       "integrity": "sha512-Ceh+7ox5qe7LJuLHoY0feh3pHuUDHAcRUeyL2VYghZwfpkNIy/+8Ocg0a3UuSoYzavmylwuLWQOf3hl0jjMMIw==",
-      "dev": true,
       "license": "MIT",
       "engines": {
         "node": ">=8"
@@ -4773,7 +4757,6 @@
       "version": "3.0.3",
       "resolved": "https://registry.npmjs.org/braces/-/braces-3.0.3.tgz",
       "integrity": "sha512-yQbXgO/OSZVD2IsiLlro+7Hf6Q18EJrKSEsdoMzKePKXct3gvD8oLcOQdIzGupr5Fj+EDe8gO/lxc1BzfMpxvA==",
-      "dev": true,
       "license": "MIT",
       "dependencies": {
         "fill-range": "^7.1.1"
@@ -4889,7 +4872,6 @@
       "version": "2.0.1",
       "resolved": "https://registry.npmjs.org/camelcase-css/-/camelcase-css-2.0.1.tgz",
       "integrity": "sha512-QOSvevhslijgYwRx6Rv7zKdMF8lbRmx+uQGx2+vDc+KI/eBnsy9kit5aj23AgGu3pa4t9AgwbnXWqS+iOY+2aA==",
-      "dev": true,
       "license": "MIT",
       "engines": {
         "node": ">= 6"
@@ -5013,7 +4995,6 @@
       "version": "3.6.0",
       "resolved": "https://registry.npmjs.org/chokidar/-/chokidar-3.6.0.tgz",
       "integrity": "sha512-7VT13fmjotKpGipCW9JEQAusEPE+Ei8nl6/g4FBAmIm0GOOLMua9NDDo/DWp0ZAxCr3cPq5ZpBqmPAQgDda2Pw==",
-      "dev": true,
       "license": "MIT",
       "dependencies": {
         "anymatch": "~3.1.2",
@@ -5038,7 +5019,6 @@
       "version": "5.1.2",
       "resolved": "https://registry.npmjs.org/glob-parent/-/glob-parent-5.1.2.tgz",
       "integrity": "sha512-AOIgSQCepiJYwP3ARnGx+5VnTu2HBYdzbGP45eLw1vr3zB3vZLeyed1sC9hnbcOc9/SrMyM5RPQrkGz4aS9Zow==",
-      "dev": true,
       "license": "ISC",
       "dependencies": {
         "is-glob": "^4.0.1"
@@ -5114,7 +5094,6 @@
       "version": "4.1.1",
       "resolved": "https://registry.npmjs.org/commander/-/commander-4.1.1.tgz",
       "integrity": "sha512-NOKm8xhkzAjzFx8B2v5OAHT+u5pRQc2UCa2Vq9jYL/31o2wi9mxBA7LIFs3sV5VSC49z6pEhfbMULvShKj26WA==",
-      "dev": true,
       "license": "MIT",
       "engines": {
         "node": ">= 6"
@@ -5175,7 +5154,6 @@
       "version": "3.0.0",
       "resolved": "https://registry.npmjs.org/cssesc/-/cssesc-3.0.0.tgz",
       "integrity": "sha512-/Tb/JcjK111nNScGob5MNtsntNM1aCNUDipB/TkwZFhyDrrE47SOx/18wF2bbjgc3ZzCSKW1T5nt5EbFoAz/Vg==",
-      "dev": true,
       "license": "MIT",
       "bin": {
         "cssesc": "bin/cssesc"
@@ -5589,14 +5567,12 @@
       "version": "1.2.2",
       "resolved": "https://registry.npmjs.org/didyoumean/-/didyoumean-1.2.2.tgz",
       "integrity": "sha512-gxtyfqMg7GKyhQmb056K7M3xszy/myH8w+B4RT+QXBQsvAOdc3XymqDDPHx1BgPgsdAA5SIifona89YtRATDzw==",
-      "dev": true,
       "license": "Apache-2.0"
     },
     "node_modules/dlv": {
       "version": "1.1.3",
       "resolved": "https://registry.npmjs.org/dlv/-/dlv-1.1.3.tgz",
       "integrity": "sha512-+HlytyjlPKnIG8XuRG8WvmBP8xs8P71y+SKKS6ZXWoEgLuePxtDoUEiH7WkdePWrQ5JBpE6aoVqfZfJUQkjXwA==",
-      "dev": true,
       "license": "MIT"
     },
     "node_modules/doctrine": {
@@ -6510,7 +6486,6 @@
       "version": "1.20.1",
       "resolved": "https://registry.npmjs.org/fastq/-/fastq-1.20.1.tgz",
       "integrity": "sha512-GGToxJ/w1x32s/D2EKND7kTil4n8OVk/9mycTc4VDza13lOvpUZTGX3mFSCtV9ksdGBVzvsyAVLM6mHFThxXxw==",
-      "dev": true,
       "license": "ISC",
       "dependencies": {
         "reusify": "^1.0.4"
@@ -6543,7 +6518,6 @@
       "version": "6.5.0",
       "resolved": "https://registry.npmjs.org/fdir/-/fdir-6.5.0.tgz",
       "integrity": "sha512-tIbYtZbucOs0BRGqPJkshJUYdL+SDH7dVM8gjy+ERp3WAUjLEFJE+02kanyHtwjWOnwrKYBiwAmM0p4kLJAnXg==",
-      "dev": true,
       "license": "MIT",
       "engines": {
         "node": ">=12.0.0"
@@ -6581,7 +6555,6 @@
       "version": "7.1.1",
       "resolved": "https://registry.npmjs.org/fill-range/-/fill-range-7.1.1.tgz",
       "integrity": "sha512-YsGpe3WHLK8ZYi4tWDg2Jy3ebRz2rXowDxnld4bkQB00cc/1Zw9AWnC0i9ztDJitivtQvaI9KaLyKrc+hBW0yg==",
-      "dev": true,
       "license": "MIT",
       "dependencies": {
         "to-regex-range": "^5.0.1"
@@ -6742,7 +6715,6 @@
       "version": "2.3.2",
       "resolved": "https://registry.npmjs.org/fsevents/-/fsevents-2.3.2.tgz",
       "integrity": "sha512-xiqMQR4xAeHTuB9uWm+fFRcIOgKBMiOBP+eXiyT7jsgVCq1bkVygt00oASowB7EdtpOHaaPgKt812P9ab+DDKA==",
-      "dev": true,
       "hasInstallScript": true,
       "license": "MIT",
       "optional": true,
@@ -6893,7 +6865,6 @@
       "version": "6.0.2",
       "resolved": "https://registry.npmjs.org/glob-parent/-/glob-parent-6.0.2.tgz",
       "integrity": "sha512-XxwI8EOhVQgWp6iDL+3b0r86f4d6AX6zSU55HfB4ydCEuXLXc5FcYeOu+nnGftS4TEju/11rt4KJPTMgbfmv4A==",
-      "dev": true,
       "license": "ISC",
       "dependencies": {
         "is-glob": "^4.0.3"
@@ -7391,7 +7362,6 @@
       "version": "2.1.0",
       "resolved": "https://registry.npmjs.org/is-binary-path/-/is-binary-path-2.1.0.tgz",
       "integrity": "sha512-ZMERYes6pDydyuGidse7OsHxtbI7WVeUEozgR/g7rd0xUimYNlvZRE/K2MgZTjWy725IfelLeVcEM97mmtRGXw==",
-      "dev": true,
       "license": "MIT",
       "dependencies": {
         "binary-extensions": "^2.0.0"
@@ -7444,7 +7414,6 @@
       "version": "2.16.1",
       "resolved": "https://registry.npmjs.org/is-core-module/-/is-core-module-2.16.1.tgz",
       "integrity": "sha512-UfoeMA6fIJ8wTYFEUjelnaGI67v6+N7qXJEvQuIGa99l4xsCruSYOVSQ0uPANn4dAzm8lkYPaKLrrijLq7x23w==",
-      "dev": true,
       "license": "MIT",
       "dependencies": {
         "hasown": "^2.0.2"
@@ -7505,7 +7474,6 @@
       "version": "2.1.1",
       "resolved": "https://registry.npmjs.org/is-extglob/-/is-extglob-2.1.1.tgz",
       "integrity": "sha512-SbKbANkN603Vi4jEZv49LeVJMn4yGwsbzZworEoyEiutsN3nJYdbO36zfhGJ6QEDpOZIFkDtnq5JRxmvl3jsoQ==",
-      "dev": true,
       "license": "MIT",
       "engines": {
         "node": ">=0.10.0"
@@ -7551,7 +7519,6 @@
       "version": "4.0.3",
       "resolved": "https://registry.npmjs.org/is-glob/-/is-glob-4.0.3.tgz",
       "integrity": "sha512-xelSayHH36ZgE7ZWhli7pW34hNbNl8Ojv5KVmkJD4hBdD3th8Tfk9vYasLM+mXWOZhFkgZfxhLSnrwRr4elSSg==",
-      "dev": true,
       "license": "MIT",
       "dependencies": {
         "is-extglob": "^2.1.1"
@@ -7600,7 +7567,6 @@
       "version": "7.0.0",
       "resolved": "https://registry.npmjs.org/is-number/-/is-number-7.0.0.tgz",
       "integrity": "sha512-41Cifkg6e8TylSpdtTpeLVMqvSBEVzTttHvERD741+pnZ8ANv0004MRL43QKPDlK9cGvNp6NZWZUBlbGXYxxng==",
-      "dev": true,
       "license": "MIT",
       "engines": {
         "node": ">=0.12.0"
@@ -7877,7 +7843,6 @@
       "version": "1.21.7",
       "resolved": "https://registry.npmjs.org/jiti/-/jiti-1.21.7.tgz",
       "integrity": "sha512-/imKNG4EbWNrVjoNC/1H5/9GFy+tqjGBHCaSsN+P2RnPqjsLmv6UD3Ej+Kj8nBWaRAwyk7kK5ZUc+OEatnTR3A==",
-      "dev": true,
       "license": "MIT",
       "bin": {
         "jiti": "bin/jiti.js"
@@ -8163,7 +8128,6 @@
       "version": "3.1.3",
       "resolved": "https://registry.npmjs.org/lilconfig/-/lilconfig-3.1.3.tgz",
       "integrity": "sha512-/vlFKAoH5Cgt3Ie+JLhRbwOsCQePABiU3tJ1egGvyQ+33R/vcwM2Zl2QR/LzjsBeItPt3oSVXapn+m4nQDvpzw==",
-      "dev": true,
       "license": "MIT",
       "engines": {
         "node": ">=14"
@@ -8176,7 +8140,6 @@
       "version": "1.2.4",
       "resolved": "https://registry.npmjs.org/lines-and-columns/-/lines-and-columns-1.2.4.tgz",
       "integrity": "sha512-7ylylesZQ/PV29jhEDl3Ufjo6ZX7gCqJr5F7PKrqc93v7fzSymt1BpwEU8nAUXs8qzzvqhbjhK5QZg6Mt/HkBg==",
-      "dev": true,
       "license": "MIT"
     },
     "node_modules/locate-path": {
@@ -8491,7 +8454,6 @@
       "version": "1.4.1",
       "resolved": "https://registry.npmjs.org/merge2/-/merge2-1.4.1.tgz",
       "integrity": "sha512-8q7VEgMJW4J8tcfVPy8g09NcQwZdbwFEqhe/WZkoIzjn/3TGDwtOCYtXGxA3O8tPzpczCCDgv+P2P5y00ZJOOg==",
-      "dev": true,
       "license": "MIT",
       "engines": {
         "node": ">= 8"
@@ -8943,7 +8905,6 @@
       "version": "4.0.8",
       "resolved": "https://registry.npmjs.org/micromatch/-/micromatch-4.0.8.tgz",
       "integrity": "sha512-PXwfBhYu0hBCPw8Dn0E+WDYb7af3dSLVWKi3HGv84IdF4TyFoC0ysxFd0Goxw7nSv4T/PzEJQxsYsEiFCKo2BA==",
-      "dev": true,
       "license": "MIT",
       "dependencies": {
         "braces": "^3.0.3",
@@ -8957,7 +8918,6 @@
       "version": "2.3.1",
       "resolved": "https://registry.npmjs.org/picomatch/-/picomatch-2.3.1.tgz",
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-      "dev": true,
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-      "dev": true,
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-      "dev": true,
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-      "dev": true,
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@@ -9728,7 +9681,7 @@
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-      "dev": true,
+      "devOptional": true,
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@@ -9747,7 +9700,7 @@
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-      "dev": true,
+      "devOptional": true,
       "license": "Apache-2.0",
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@@ -9770,7 +9723,6 @@
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@@ -9799,7 +9751,6 @@
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-      "dev": true,
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@@ -9817,7 +9768,6 @@
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-      "dev": true,
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@@ -9843,7 +9793,6 @@
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-      "dev": true,
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@@ -9886,7 +9835,6 @@
       "version": "6.2.0",
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-      "dev": true,
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@@ -9912,7 +9860,6 @@
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-      "dev": true,
       "license": "MIT",
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@@ -9926,7 +9873,6 @@
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-      "dev": true,
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@@ -10040,7 +9986,6 @@
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@@ -10829,7 +10774,6 @@
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-      "dev": true,
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@@ -10839,7 +10783,6 @@
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-      "dev": true,
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@@ -10852,7 +10795,6 @@
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-      "dev": true,
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@@ -11117,7 +11059,6 @@
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-      "dev": true,
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@@ -11158,7 +11099,6 @@
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-      "dev": true,
       "license": "MIT",
       "engines": {
         "iojs": ">=1.0.0",
@@ -11214,7 +11154,6 @@
       "version": "1.2.0",
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-      "dev": true,
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@@ -11855,7 +11794,6 @@
       "version": "3.35.1",
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-      "dev": true,
       "license": "MIT",
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@@ -11891,7 +11829,6 @@
       "version": "1.0.0",
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-      "dev": true,
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@@ -11927,7 +11864,6 @@
       "version": "3.4.19",
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-      "dev": true,
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@@ -11965,7 +11901,6 @@
       "version": "3.3.3",
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-      "dev": true,
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@@ -11982,7 +11917,6 @@
       "version": "5.1.2",
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-      "dev": true,
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@@ -12010,7 +11944,6 @@
       "version": "3.3.1",
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-      "dev": true,
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@@ -12020,7 +11953,6 @@
       "version": "1.6.0",
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-      "dev": true,
       "license": "MIT",
       "dependencies": {
         "thenify": ">= 3.1.0 < 4"
@@ -12062,7 +11994,6 @@
       "version": "0.2.15",
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-      "dev": true,
       "license": "MIT",
       "dependencies": {
         "fdir": "^6.5.0",
@@ -12129,7 +12060,6 @@
       "version": "5.0.1",
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       "integrity": "sha512-65P7iz6X5yEr1cwcgvQxbbIw7Uk3gOy5dIdtZ4rDveLqhrdJP+Li/Hx6tyK0NEb+2GCyneCMJiGqrADCSNk8sQ==",
-      "dev": true,
       "license": "MIT",
       "dependencies": {
         "is-number": "^7.0.0"
@@ -12217,7 +12147,6 @@
       "version": "0.1.13",
       "resolved": "https://registry.npmjs.org/ts-interface-checker/-/ts-interface-checker-0.1.13.tgz",
       "integrity": "sha512-Y/arvbn+rrz3JCKl9C4kVNfTfSm2/mEp5FSz5EsZSANGPSlQrpRI5M4PKF+mJnE52jOO90PnPSc3Ur3bTQw0gA==",
-      "dev": true,
       "license": "Apache-2.0"
     },
     "node_modules/tsconfig-paths": {
@@ -12334,7 +12263,7 @@
       "version": "5.3.3",
       "resolved": "https://registry.npmjs.org/typescript/-/typescript-5.3.3.tgz",
       "integrity": "sha512-pXWcraxM0uxAS+tN0AG/BF2TyqmHO014Z070UsJ+pFvYuRSq8KH8DmWpnbXe0pEPDHXZV3FcAbJkijJ5oNEnWw==",
-      "dev": true,
+      "devOptional": true,
       "license": "Apache-2.0",
       "bin": {
         "tsc": "bin/tsc",
@@ -12536,7 +12465,6 @@
       "version": "1.0.2",
       "resolved": "https://registry.npmjs.org/util-deprecate/-/util-deprecate-1.0.2.tgz",
       "integrity": "sha512-EPD5q1uXyFxJpCrLnCc1nHnq3gOa6DZBocAIiI2TaSCA7VCJ1UJDMagCzIkXNsUYfD1daK//LTEQ8xiIbrHtcw==",
-      "dev": true,
       "license": "MIT"
     },
     "node_modules/uuid": {
@@ -12990,7 +12918,7 @@
       "version": "8.19.0",
       "resolved": "https://registry.npmjs.org/ws/-/ws-8.19.0.tgz",
       "integrity": "sha512-blAT2mjOEIi0ZzruJfIhb3nps74PRWTCz1IjglWEEpQl5XS/UNama6u2/rjFkDDouqr4L67ry+1aGIALViWjDg==",
-      "dev": true,
+      "devOptional": true,
       "license": "MIT",
       "engines": {
         "node": ">=10.0.0"
@@ -13056,21 +12984,6 @@
         "type": "github",
         "url": "https://github.com/sponsors/wooorm"
       }
-    },
-    "node_modules/@next/swc-win32-ia32-msvc": {
-      "version": "14.2.33",
-      "resolved": "https://registry.npmjs.org/@next/swc-win32-ia32-msvc/-/swc-win32-ia32-msvc-14.2.33.tgz",
-      "integrity": "sha512-pc9LpGNKhJ0dXQhZ5QMmYxtARwwmWLpeocFmVG5Z0DzWq5Uf0izcI8tLc+qOpqxO1PWqZ5A7J1blrUIKrIFc7Q==",
-      "cpu": [
-        "ia32"
-      ],
-      "optional": true,
-      "os": [
-        "win32"
-      ],
-      "engines": {
-        "node": ">= 10"
-      }
     }
   }
 }
diff --git a/ui/litellm-dashboard/src/components/view_logs/LogDetailsDrawer/PrettyMessagesView.test.tsx b/ui/litellm-dashboard/src/components/view_logs/LogDetailsDrawer/PrettyMessagesView.test.tsx
new file mode 100644
index 00000000000..b73dcafcdc3
--- /dev/null
+++ b/ui/litellm-dashboard/src/components/view_logs/LogDetailsDrawer/PrettyMessagesView.test.tsx
@@ -0,0 +1,81 @@
+import React from "react";
+import { render, screen } from "@testing-library/react";
+import { describe, it, expect, vi } from "vitest";
+import { PrettyMessagesView } from "./PrettyMessagesView";
+
+vi.mock("antd", async () => {
+  const actual = await vi.importActual<typeof import("antd")>("antd");
+  return {
+    ...actual,
+    message: {
+      success: vi.fn(),
+    },
+  };
+});
+
+describe("PrettyMessagesView", () => {
+  it("should render the component for standard chat completions", () => {
+    const request = {
+      messages: [{ role: "user", content: "Hello" }],
+    };
+    const response = {
+      choices: [{ message: { role: "assistant", content: "Hi there!" } }],
+    };
+
+    render(<PrettyMessagesView request={request} response={response} />);
+    expect(screen.getByText("Hello")).toBeInTheDocument();
+    expect(screen.getByText("Hi there!")).toBeInTheDocument();
+  });
+
+  it("should render the realtime pretty view for realtime API responses", () => {
+    const request = {};
+    const response = {
+      results: [
+        {
+          type: "session.created",
+          session: {
+            id: "sess_123",
+            model: "gpt-4o-mini-realtime-preview",
+            voice: "alloy",
+            modalities: ["audio", "text"],
+          },
+        },
+        {
+          type: "response.done",
+          response: {
+            id: "resp_1",
+            status: "completed",
+            output: [
+              {
+                id: "item_1",
+                role: "assistant",
+                type: "message",
+                content: [{ type: "audio", transcript: "Hello from realtime!" }],
+              },
+            ],
+          },
+        },
+      ],
+    };
+
+    render(<PrettyMessagesView request={request} response={response} />);
+    expect(screen.getByText("Session")).toBeInTheDocument();
+    expect(screen.getByText("Hello from realtime!")).toBeInTheDocument();
+    const modelElements = screen.getAllByText("gpt-4o-mini-realtime-preview");
+    expect(modelElements.length).toBeGreaterThanOrEqual(1);
+  });
+
+  it("should render standard view when response has results but no realtime events", () => {
+    const request = {
+      messages: [{ role: "user", content: "Test" }],
+    };
+    const response = {
+      results: [{ type: "some.other.type" }],
+      choices: [{ message: { role: "assistant", content: "Reply" } }],
+    };
+
+    render(<PrettyMessagesView request={request} response={response} />);
+    expect(screen.getByText("Test")).toBeInTheDocument();
+    expect(screen.getByText("Reply")).toBeInTheDocument();
+  });
+});
diff --git a/ui/litellm-dashboard/src/components/view_logs/LogDetailsDrawer/PrettyMessagesView.tsx b/ui/litellm-dashboard/src/components/view_logs/LogDetailsDrawer/PrettyMessagesView.tsx
index 2d4a14d6f5d..06a5bbb5f9b 100644
--- a/ui/litellm-dashboard/src/components/view_logs/LogDetailsDrawer/PrettyMessagesView.tsx
+++ b/ui/litellm-dashboard/src/components/view_logs/LogDetailsDrawer/PrettyMessagesView.tsx
@@ -1,11 +1,13 @@
 /**
  * PrettyMessagesView - Datadog-style view with Input/Output cards
- * Two main cards showing request and response with token counts and costs
+ * Two main cards showing request and response with token counts and costs.
+ * Detects realtime API responses and renders a specialized view.
  */
 
 import { parseMessages } from './prettyMessagesUtils';
 import { InputCard } from './InputCard';
 import { OutputCard } from './OutputCard';
+import { isRealtimeResponse, RealtimePrettyView } from './RealtimePrettyView';
 
 interface PrettyMessagesViewProps {
   request: any;
@@ -19,6 +21,10 @@ interface PrettyMessagesViewProps {
 }
 
 export function PrettyMessagesView({ request, response, metrics }: PrettyMessagesViewProps) {
+  if (isRealtimeResponse(response)) {
+    return <RealtimePrettyView response={response} metrics={metrics} />;
+  }
+
   const { requestMessages, responseMessage } = parseMessages(request, response);
 
   return (
diff --git a/ui/litellm-dashboard/src/components/view_logs/LogDetailsDrawer/RealtimePrettyView.test.tsx b/ui/litellm-dashboard/src/components/view_logs/LogDetailsDrawer/RealtimePrettyView.test.tsx
new file mode 100644
index 00000000000..4a0adecc967
--- /dev/null
+++ b/ui/litellm-dashboard/src/components/view_logs/LogDetailsDrawer/RealtimePrettyView.test.tsx
@@ -0,0 +1,392 @@
+import React from "react";
+import { render, screen, fireEvent, act, waitFor } from "@testing-library/react";
+import userEvent from "@testing-library/user-event";
+import { describe, it, expect, vi, beforeEach } from "vitest";
+import { RealtimePrettyView, isRealtimeResponse } from "./RealtimePrettyView";
+
+vi.mock("antd", async () => {
+  const actual = await vi.importActual<typeof import("antd")>("antd");
+  return {
+    ...actual,
+    message: {
+      success: vi.fn(),
+    },
+  };
+});
+
+const sampleRealtimeResponse = {
+  usage: {
+    total_tokens: 587,
+    prompt_tokens: 294,
+    completion_tokens: 293,
+  },
+  results: [
+    {
+      type: "session.created",
+      session: {
+        id: "sess_DDNQlPKHjLsokSJPAOWY0",
+        model: "gpt-4o-mini-realtime-preview",
+        tools: [],
+        voice: "alloy",
+        modalities: ["audio", "text"],
+        temperature: 0.8,
+        tool_choice: "auto",
+        instructions: "You are a helpful assistant.",
+        turn_detection: {
+          type: "server_vad",
+          threshold: 0.5,
+        },
+        input_audio_format: "pcm16",
+        output_audio_format: "pcm16",
+        max_response_output_tokens: "inf",
+      },
+      event_id: "event_DDNQlB4VNUlpqTVIjBbm3",
+    },
+    {
+      type: "response.done",
+      event_id: "event_DDNQnagYJCZyZATdJCn0L",
+      response: {
+        id: "resp_DDNQnlXGHZJB46D5JhJ95",
+        usage: {
+          input_tokens: 116,
+          total_tokens: 162,
+          output_tokens: 46,
+          input_token_details: {
+            text_tokens: 116,
+            audio_tokens: 0,
+          },
+          output_token_details: {
+            text_tokens: 16,
+            audio_tokens: 30,
+          },
+        },
+        voice: "alloy",
+        object: "realtime.response",
+        output: [
+          {
+            id: "item_DDNQnz5uN1b8NEvPOPZOM",
+            role: "assistant",
+            type: "message",
+            status: "completed",
+            content: [
+              {
+                type: "audio",
+                transcript: "Hello! How's your day going?",
+              },
+            ],
+          },
+        ],
+        status: "completed",
+        conversation_id: "conv_DDNQlpNllPYhCCfXCtT8X",
+        max_output_tokens: "inf",
+      },
+    },
+    {
+      type: "response.done",
+      event_id: "event_DDNR0VmrRTVU69RxGC29U",
+      response: {
+        id: "resp_DDNQy6S4PBZxW4qsKq6Ah",
+        usage: {
+          input_tokens: 178,
+          total_tokens: 425,
+          output_tokens: 247,
+        },
+        voice: "alloy",
+        object: "realtime.response",
+        output: [
+          {
+            id: "item_DDNQywctWVnYmujg4FSTZ",
+            role: "assistant",
+            type: "message",
+            status: "completed",
+            content: [
+              {
+                type: "audio",
+                transcript:
+                  "I'm here to help with information and general questions.",
+              },
+            ],
+          },
+        ],
+        status: "completed",
+        conversation_id: "conv_DDNQlpNllPYhCCfXCtT8X",
+        max_output_tokens: "inf",
+      },
+    },
+  ],
+};
+
+describe("isRealtimeResponse", () => {
+  it("should return true for a valid realtime response with session.created", () => {
+    expect(isRealtimeResponse(sampleRealtimeResponse)).toBe(true);
+  });
+
+  it("should return true for response with only response.done events", () => {
+    const resp = {
+      results: [{ type: "response.done", response: { id: "r1" } }],
+    };
+    expect(isRealtimeResponse(resp)).toBe(true);
+  });
+
+  it("should return false for a standard chat completion response", () => {
+    const chatResponse = {
+      choices: [{ message: { role: "assistant", content: "Hello" } }],
+    };
+    expect(isRealtimeResponse(chatResponse)).toBe(false);
+  });
+
+  it("should return false for null/undefined", () => {
+    expect(isRealtimeResponse(null)).toBe(false);
+    expect(isRealtimeResponse(undefined)).toBe(false);
+  });
+
+  it("should return false for empty results array", () => {
+    expect(isRealtimeResponse({ results: [] })).toBe(false);
+  });
+
+  it("should return false for results with unrecognized event types", () => {
+    const resp = {
+      results: [{ type: "some.unknown.event" }],
+    };
+    expect(isRealtimeResponse(resp)).toBe(false);
+  });
+});
+
+describe("RealtimePrettyView", () => {
+  const mockWriteText = vi.fn().mockResolvedValue(undefined);
+
+  beforeEach(() => {
+    vi.clearAllMocks();
+    Object.defineProperty(navigator, "clipboard", {
+      value: { writeText: mockWriteText },
+      writable: true,
+      configurable: true,
+    });
+  });
+
+  it("should render the component successfully", () => {
+    render(<RealtimePrettyView response={sampleRealtimeResponse} />);
+    expect(screen.getByText("Session")).toBeInTheDocument();
+  });
+
+  it("should display the session model name", () => {
+    render(<RealtimePrettyView response={sampleRealtimeResponse} />);
+    const modelElements = screen.getAllByText("gpt-4o-mini-realtime-preview");
+    expect(modelElements.length).toBeGreaterThanOrEqual(1);
+  });
+
+  it("should display the session voice tag", () => {
+    render(<RealtimePrettyView response={sampleRealtimeResponse} />);
+    const voiceElements = screen.getAllByText("alloy");
+    expect(voiceElements.length).toBeGreaterThanOrEqual(1);
+  });
+
+  it("should display modality tags", () => {
+    render(<RealtimePrettyView response={sampleRealtimeResponse} />);
+    expect(screen.getByText("audio")).toBeInTheDocument();
+    expect(screen.getByText("text")).toBeInTheDocument();
+  });
+
+  it("should display the turn count in session header", () => {
+    render(<RealtimePrettyView response={sampleRealtimeResponse} />);
+    expect(screen.getByText("2 turns")).toBeInTheDocument();
+  });
+
+  it("should display singular 'turn' for a single response event", () => {
+    const singleTurnResponse = {
+      results: [
+        {
+          type: "session.created",
+          session: {
+            id: "sess_1",
+            model: "gpt-4o-mini-realtime-preview",
+            voice: "alloy",
+            modalities: ["audio"],
+          },
+        },
+        {
+          type: "response.done",
+          response: {
+            id: "r1",
+            status: "completed",
+            output: [
+              {
+                id: "item1",
+                role: "assistant",
+                type: "message",
+                content: [{ type: "audio", transcript: "Hi!" }],
+              },
+            ],
+          },
+        },
+      ],
+    };
+    render(<RealtimePrettyView response={singleTurnResponse} />);
+    expect(screen.getByText("1 turn")).toBeInTheDocument();
+  });
+
+  it("should display the turn count in the output section header", () => {
+    render(<RealtimePrettyView response={sampleRealtimeResponse} />);
+    expect(screen.getByText("Turns: 2")).toBeInTheDocument();
+  });
+
+  it("should display the Output section header", () => {
+    render(<RealtimePrettyView response={sampleRealtimeResponse} />);
+    expect(screen.getByText("Output")).toBeInTheDocument();
+  });
+
+  it("should display transcript text from response turns", () => {
+    render(<RealtimePrettyView response={sampleRealtimeResponse} />);
+    expect(
+      screen.getByText("Hello! How's your day going?")
+    ).toBeInTheDocument();
+    expect(
+      screen.getByText(
+        "I'm here to help with information and general questions."
+      )
+    ).toBeInTheDocument();
+  });
+
+  it("should display completed status tags for response turns", () => {
+    render(<RealtimePrettyView response={sampleRealtimeResponse} />);
+    const completedTags = screen.getAllByText("completed");
+    expect(completedTags.length).toBe(2);
+  });
+
+  it("should display token usage per turn", () => {
+    render(<RealtimePrettyView response={sampleRealtimeResponse} />);
+    expect(screen.getByText("116 in / 46 out tokens")).toBeInTheDocument();
+    expect(screen.getByText("178 in / 247 out tokens")).toBeInTheDocument();
+  });
+
+  it("should expand session details when session header is clicked", async () => {
+    const user = userEvent.setup();
+    render(<RealtimePrettyView response={sampleRealtimeResponse} />);
+
+    await user.click(screen.getByText("Session"));
+
+    await waitFor(() => {
+      expect(screen.getByText("Temperature")).toBeInTheDocument();
+    });
+  });
+
+  it("should display session instructions when expanded", async () => {
+    const user = userEvent.setup();
+    render(<RealtimePrettyView response={sampleRealtimeResponse} />);
+
+    await user.click(screen.getByText("Session"));
+
+    await waitFor(() => {
+      expect(screen.getByText("Instructions")).toBeInTheDocument();
+      expect(
+        screen.getByText("You are a helpful assistant.")
+      ).toBeInTheDocument();
+    });
+  });
+
+  it("should display session audio format when expanded", async () => {
+    const user = userEvent.setup();
+    render(<RealtimePrettyView response={sampleRealtimeResponse} />);
+
+    await user.click(screen.getByText("Session"));
+
+    await waitFor(() => {
+      expect(screen.getByText("Input Audio Format")).toBeInTheDocument();
+      expect(screen.getAllByText("pcm16").length).toBeGreaterThanOrEqual(1);
+    });
+  });
+
+  it("should display ASSISTANT label for output messages", () => {
+    render(<RealtimePrettyView response={sampleRealtimeResponse} />);
+    const assistantLabels = screen.getAllByText("ASSISTANT");
+    expect(assistantLabels.length).toBe(2);
+  });
+
+  it("should display fallback message when no recognized events exist", () => {
+    const emptyResponse = {
+      results: [{ type: "unknown.event" }],
+    };
+    render(<RealtimePrettyView response={emptyResponse} />);
+    expect(
+      screen.getByText("No recognized realtime events found")
+    ).toBeInTheDocument();
+  });
+
+  it("should handle response with no output items gracefully", () => {
+    const noOutputResponse = {
+      results: [
+        {
+          type: "response.done",
+          response: {
+            id: "r1",
+            status: "completed",
+            output: [],
+          },
+        },
+      ],
+    };
+    render(<RealtimePrettyView response={noOutputResponse} />);
+    expect(screen.getByText("completed")).toBeInTheDocument();
+  });
+
+  it("should display metrics tokens when provided", () => {
+    render(
+      <RealtimePrettyView
+        response={sampleRealtimeResponse}
+        metrics={{ completion_tokens: 500, output_cost: 0.005 }}
+      />
+    );
+    expect(screen.getByText(/Tokens: 500/)).toBeInTheDocument();
+    expect(screen.getByText(/Cost: \$0\.005000/)).toBeInTheDocument();
+  });
+
+  it("should toggle output section collapse when header is clicked", async () => {
+    const user = userEvent.setup();
+    render(<RealtimePrettyView response={sampleRealtimeResponse} />);
+
+    const transcript = screen.getByText("Hello! How's your day going?");
+    expect(transcript).toBeVisible();
+
+    const outputHeader = screen.getByText("Output").closest("div");
+    if (outputHeader) {
+      await user.click(outputHeader);
+      await waitFor(() => {
+        expect(transcript).not.toBeVisible();
+      });
+    }
+  });
+
+  it("should display token breakdown tags when input_token_details are present", async () => {
+    render(<RealtimePrettyView response={sampleRealtimeResponse} />);
+    expect(screen.getByText(/Text Tokens: 116/)).toBeInTheDocument();
+  });
+
+  it("should handle text content type in addition to audio", () => {
+    const textResponse = {
+      results: [
+        {
+          type: "response.done",
+          response: {
+            id: "r1",
+            status: "completed",
+            output: [
+              {
+                id: "item1",
+                role: "assistant",
+                type: "message",
+                content: [
+                  {
+                    type: "text",
+                    text: "This is a text response",
+                  },
+                ],
+              },
+            ],
+          },
+        },
+      ],
+    };
+    render(<RealtimePrettyView response={textResponse} />);
+    expect(screen.getByText("This is a text response")).toBeInTheDocument();
+  });
+});
diff --git a/ui/litellm-dashboard/src/components/view_logs/LogDetailsDrawer/RealtimePrettyView.tsx b/ui/litellm-dashboard/src/components/view_logs/LogDetailsDrawer/RealtimePrettyView.tsx
new file mode 100644
index 00000000000..4029fbdb835
--- /dev/null
+++ b/ui/litellm-dashboard/src/components/view_logs/LogDetailsDrawer/RealtimePrettyView.tsx
@@ -0,0 +1,570 @@
+/**
+ * RealtimePrettyView - Structured pretty view for OpenAI Realtime API logs
+ * Displays session config, conversation turns, and token usage
+ * in a readable format instead of raw JSON.
+ */
+
+import { useState } from 'react';
+import { Typography, Tag, Tooltip } from 'antd';
+import {
+  SoundOutlined,
+  MessageOutlined,
+  SettingOutlined,
+  AudioOutlined,
+  DownOutlined,
+  UpOutlined,
+} from '@ant-design/icons';
+import { SectionHeader } from './SectionHeader';
+
+const { Text } = Typography;
+
+interface RealtimeEvent {
+  type: string;
+  event_id?: string;
+  session?: RealtimeSession;
+  response?: RealtimeResponse;
+}
+
+interface RealtimeSession {
+  id: string;
+  model: string;
+  voice?: string;
+  modalities?: string[];
+  temperature?: number;
+  tools?: any[];
+  instructions?: string;
+  turn_detection?: Record<string, any>;
+  input_audio_format?: string;
+  output_audio_format?: string;
+  max_response_output_tokens?: string | number;
+  [key: string]: any;
+}
+
+interface RealtimeResponse {
+  id: string;
+  status: string;
+  usage?: {
+    input_tokens?: number;
+    output_tokens?: number;
+    total_tokens?: number;
+    input_token_details?: Record<string, any>;
+    output_token_details?: Record<string, any>;
+  };
+  output?: RealtimeOutputItem[];
+  modalities?: string[];
+  voice?: string;
+  conversation_id?: string;
+  [key: string]: any;
+}
+
+interface RealtimeOutputItem {
+  id: string;
+  role: string;
+  type: string;
+  status?: string;
+  content?: Array<{
+    type: string;
+    transcript?: string;
+    text?: string;
+  }>;
+}
+
+interface RealtimePrettyViewProps {
+  response: any;
+  metrics?: {
+    prompt_tokens?: number;
+    completion_tokens?: number;
+    input_cost?: number;
+    output_cost?: number;
+  };
+}
+
+export function isRealtimeResponse(response: any): boolean {
+  if (!response || !response.results || !Array.isArray(response.results) || response.results.length === 0) {
+    return false;
+  }
+
+  return response.results.some(
+    (r: any) =>
+      r.type === 'session.created' ||
+      r.type === 'session.updated' ||
+      r.type === 'response.done'
+  );
+}
+
+export function RealtimePrettyView({ response, metrics }: RealtimePrettyViewProps) {
+  const events: RealtimeEvent[] = response?.results || [];
+  const usage = response?.usage;
+
+  const sessionEvent = events.find(
+    (e) => e.type === 'session.created' || e.type === 'session.updated'
+  );
+  const responseEvents = events.filter((e) => e.type === 'response.done');
+
+  return (
+    <div>
+      {/* Session Configuration Card */}
+      {sessionEvent?.session && (
+        <SessionCard session={sessionEvent.session} turnCount={responseEvents.length} />
+      )}
+
+      {/* Conversation Turns */}
+      {responseEvents.length > 0 && (
+        <ConversationCard
+          responses={responseEvents.map((e) => e.response!).filter(Boolean)}
+          totalUsage={usage}
+          metrics={metrics}
+        />
+      )}
+
+      {/* Fallback if no recognized events */}
+      {!sessionEvent && responseEvents.length === 0 && (
+        <div
+          style={{
+            border: '1px solid #f0f0f0',
+            borderRadius: 6,
+            padding: '16px',
+            color: '#8c8c8c',
+            fontStyle: 'italic',
+            fontSize: 13,
+          }}
+        >
+          No recognized realtime events found
+        </div>
+      )}
+    </div>
+  );
+}
+
+function SessionCard({ session, turnCount }: { session: RealtimeSession; turnCount: number }) {
+  const [isCollapsed, setIsCollapsed] = useState(true);
+
+  return (
+    <div
+      style={{
+        border: '1px solid #f0f0f0',
+        borderRadius: 6,
+        marginBottom: 8,
+        overflow: 'hidden',
+      }}
+    >
+      <div
+        onClick={() => setIsCollapsed(!isCollapsed)}
+        style={{
+          display: 'flex',
+          alignItems: 'center',
+          justifyContent: 'space-between',
+          padding: '10px 16px',
+          borderBottom: isCollapsed ? 'none' : '1px solid #f0f0f0',
+          background: '#fafafa',
+          cursor: 'pointer',
+          transition: 'background 0.15s ease',
+        }}
+        onMouseEnter={(e) => {
+          e.currentTarget.style.background = '#f5f5f5';
+        }}
+        onMouseLeave={(e) => {
+          e.currentTarget.style.background = '#fafafa';
+        }}
+      >
+        <div style={{ display: 'flex', alignItems: 'center', gap: 16 }}>
+          <div style={{ display: 'flex', alignItems: 'center' }}>
+            {isCollapsed ? (
+              <DownOutlined style={{ fontSize: 10, color: '#8c8c8c' }} />
+            ) : (
+              <UpOutlined style={{ fontSize: 10, color: '#8c8c8c' }} />
+            )}
+          </div>
+          <div style={{ display: 'flex', alignItems: 'center', gap: 8 }}>
+            <SettingOutlined style={{ color: '#8c8c8c', fontSize: 14 }} />
+            <Text style={{ fontWeight: 500, fontSize: 14 }}>Session</Text>
+          </div>
+          <Text type="secondary" style={{ fontSize: 12 }}>
+            {session.model}
+          </Text>
+          {turnCount > 0 && (
+            <Tag
+              color="purple"
+              style={{ margin: 0, fontWeight: 500 }}
+            >
+              {turnCount} {turnCount === 1 ? 'turn' : 'turns'}
+            </Tag>
+          )}
+          {session.voice && (
+            <Tag color="blue" style={{ margin: 0 }}>
+              <SoundOutlined /> {session.voice}
+            </Tag>
+          )}
+          {session.modalities && (
+            <div style={{ display: 'flex', gap: 4 }}>
+              {session.modalities.map((m) => (
+                <Tag key={m} style={{ margin: 0 }}>
+                  {m === 'audio' ? <AudioOutlined /> : <MessageOutlined />} {m}
+                </Tag>
+              ))}
+            </div>
+          )}
+        </div>
+      </div>
+
+      <div
+        style={{
+          maxHeight: isCollapsed ? '0px' : '10000px',
+          overflow: 'hidden',
+          transition: 'max-height 0.3s ease-out, opacity 0.3s ease-out',
+          opacity: isCollapsed ? 0 : 1,
+        }}
+      >
+        <div style={{ padding: '12px 16px' }}>
+          <div
+            style={{
+              display: 'grid',
+              gridTemplateColumns: '1fr 1fr',
+              gap: '8px 24px',
+              fontSize: 13,
+            }}
+          >
+            <ConfigRow label="Model" value={session.model} />
+            <ConfigRow label="Voice" value={session.voice} />
+            <ConfigRow label="Temperature" value={session.temperature} />
+            <ConfigRow
+              label="Max Output Tokens"
+              value={session.max_response_output_tokens}
+            />
+            <ConfigRow
+              label="Input Audio Format"
+              value={session.input_audio_format}
+            />
+            <ConfigRow
+              label="Output Audio Format"
+              value={session.output_audio_format}
+            />
+            {session.turn_detection && (
+              <ConfigRow
+                label="Turn Detection"
+                value={session.turn_detection.type}
+              />
+            )}
+            {session.tools && session.tools.length > 0 && (
+              <ConfigRow
+                label="Tools"
+                value={`${session.tools.length} tool(s)`}
+              />
+            )}
+          </div>
+
+          {session.instructions && (
+            <div style={{ marginTop: 12 }}>
+              <Text
+                type="secondary"
+                style={{
+                  fontSize: 10,
+                  letterSpacing: '0.5px',
+                  textTransform: 'uppercase',
+                  display: 'block',
+                  marginBottom: 4,
+                }}
+              >
+                Instructions
+              </Text>
+              <div
+                style={{
+                  fontSize: 12,
+                  lineHeight: 1.6,
+                  color: '#595959',
+                  background: '#fafafa',
+                  padding: '8px 12px',
+                  borderRadius: 4,
+                  border: '1px solid #f0f0f0',
+                  whiteSpace: 'pre-wrap',
+                  wordBreak: 'break-word',
+                  maxHeight: 120,
+                  overflowY: 'auto',
+                }}
+              >
+                {session.instructions}
+              </div>
+            </div>
+          )}
+        </div>
+      </div>
+    </div>
+  );
+}
+
+function ConversationCard({
+  responses,
+  totalUsage,
+  metrics,
+}: {
+  responses: RealtimeResponse[];
+  totalUsage?: any;
+  metrics?: RealtimePrettyViewProps['metrics'];
+}) {
+  const [isCollapsed, setIsCollapsed] = useState(false);
+
+  const totalTokens = totalUsage?.total_tokens;
+  const turnCount = responses.length;
+  const handleCopy = () => {
+    const transcripts = responses
+      .flatMap((r) =>
+        (r.output || []).flatMap((o) =>
+          (o.content || []).map(
+            (c) => `${o.role}: ${c.transcript || c.text || ''}`
+          )
+        )
+      )
+      .join('\n');
+    navigator.clipboard.writeText(transcripts);
+  };
+
+  return (
+    <div
+      style={{
+        border: '1px solid #f0f0f0',
+        borderRadius: 6,
+        overflow: 'hidden',
+      }}
+    >
+      <SectionHeader
+        type="output"
+        tokens={metrics?.completion_tokens ?? totalTokens}
+        cost={metrics?.output_cost}
+        onCopy={handleCopy}
+        isCollapsed={isCollapsed}
+        onToggleCollapse={() => setIsCollapsed(!isCollapsed)}
+        turnCount={turnCount}
+      />
+
+      <div
+        style={{
+          maxHeight: isCollapsed ? '0px' : '10000px',
+          overflow: 'hidden',
+          transition: 'max-height 0.3s ease-out, opacity 0.3s ease-out',
+          opacity: isCollapsed ? 0 : 1,
+        }}
+      >
+        <div style={{ padding: '12px 16px' }}>
+          {responses.map((resp, idx) => (
+            <ResponseTurn key={resp.id || idx} response={resp} index={idx} />
+          ))}
+        </div>
+      </div>
+    </div>
+  );
+}
+
+function ResponseTurn({
+  response,
+  index,
+}: {
+  response: RealtimeResponse;
+  index: number;
+}) {
+  const outputs = response.output || [];
+  const usage = response.usage;
+
+  return (
+    <div
+      style={{
+        marginBottom: 12,
+        paddingBottom: 12,
+        borderBottom: '1px solid #f5f5f5',
+      }}
+    >
+      {/* Turn header */}
+      <div
+        style={{
+          display: 'flex',
+          alignItems: 'center',
+          gap: 8,
+          marginBottom: 8,
+        }}
+      >
+        <Tag
+          color={response.status === 'completed' ? 'green' : 'orange'}
+          style={{ margin: 0 }}
+        >
+          {response.status || 'unknown'}
+        </Tag>
+        {usage && (
+          <Text type="secondary" style={{ fontSize: 11 }}>
+            {usage.input_tokens ?? 0} in / {usage.output_tokens ?? 0} out tokens
+          </Text>
+        )}
+        {response.conversation_id && (
+          <Tooltip title={response.conversation_id}>
+            <Text
+              type="secondary"
+              style={{ fontSize: 11, cursor: 'help' }}
+            >
+              conv: {response.conversation_id.slice(0, 12)}...
+            </Text>
+          </Tooltip>
+        )}
+      </div>
+
+      {/* Output messages / transcripts */}
+      {outputs.map((output, oIdx) => (
+        <OutputMessage key={output.id || oIdx} output={output} />
+      ))}
+
+      {/* Token breakdown if available */}
+      {usage?.input_token_details && (
+        <TokenBreakdown
+          label="Input"
+          details={usage.input_token_details}
+        />
+      )}
+      {usage?.output_token_details && (
+        <TokenBreakdown
+          label="Output"
+          details={usage.output_token_details}
+        />
+      )}
+    </div>
+  );
+}
+
+function OutputMessage({ output }: { output: RealtimeOutputItem }) {
+  const contents = output.content || [];
+  const hasTranscripts = contents.some((c) => c.transcript || c.text);
+
+  if (!hasTranscripts) return null;
+
+  return (
+    <div style={{ marginBottom: 8 }}>
+      <Text
+        type="secondary"
+        style={{
+          fontSize: 10,
+          letterSpacing: '0.5px',
+          textTransform: 'uppercase',
+          display: 'block',
+          marginBottom: 3,
+        }}
+      >
+        {output.role?.toUpperCase() || 'ASSISTANT'}
+      </Text>
+      {contents.map((c, cIdx) => {
+        const text = c.transcript || c.text;
+        if (!text) return null;
+        return (
+          <div
+            key={cIdx}
+            style={{
+              display: 'flex',
+              alignItems: 'flex-start',
+              gap: 8,
+              marginBottom: 4,
+            }}
+          >
+            {c.type === 'audio' && (
+              <AudioOutlined
+                style={{
+                  color: '#8c8c8c',
+                  fontSize: 12,
+                  marginTop: 3,
+                  flexShrink: 0,
+                }}
+              />
+            )}
+            {c.type === 'text' && (
+              <MessageOutlined
+                style={{
+                  color: '#8c8c8c',
+                  fontSize: 12,
+                  marginTop: 3,
+                  flexShrink: 0,
+                }}
+              />
+            )}
+            <div
+              style={{
+                fontSize: 13,
+                lineHeight: 1.7,
+                color: '#262626',
+                whiteSpace: 'pre-wrap',
+                wordBreak: 'break-word',
+              }}
+            >
+              {text}
+            </div>
+          </div>
+        );
+      })}
+    </div>
+  );
+}
+
+function TokenBreakdown({
+  label,
+  details,
+}: {
+  label: string;
+  details: Record<string, any>;
+}) {
+  const entries = Object.entries(details).filter(
+    ([, v]) =>
+      typeof v === 'number' ||
+      (typeof v === 'object' && v !== null)
+  );
+
+  if (entries.length === 0) return null;
+
+  return (
+    <div style={{ marginTop: 4 }}>
+      <Text
+        type="secondary"
+        style={{ fontSize: 10, letterSpacing: '0.5px', textTransform: 'uppercase' }}
+      >
+        {label} Token Breakdown
+      </Text>
+      <div
+        style={{
+          display: 'flex',
+          flexWrap: 'wrap',
+          gap: 8,
+          marginTop: 4,
+        }}
+      >
+        {entries.map(([key, value]) => {
+          if (typeof value === 'number') {
+            return (
+              <Tag key={key} style={{ margin: 0 }}>
+                {formatTokenLabel(key)}: {value.toLocaleString()}
+              </Tag>
+            );
+          }
+          return null;
+        })}
+      </div>
+    </div>
+  );
+}
+
+function ConfigRow({
+  label,
+  value,
+}: {
+  label: string;
+  value: any;
+}) {
+  if (value === undefined || value === null) return null;
+  return (
+    <div>
+      <Text type="secondary" style={{ fontSize: 11 }}>
+        {label}
+      </Text>
+      <div style={{ fontSize: 13, color: '#262626' }}>
+        {String(value)}
+      </div>
+    </div>
+  );
+}
+
+function formatTokenLabel(key: string): string {
+  return key
+    .replace(/_/g, ' ')
+    .replace(/\b\w/g, (c) => c.toUpperCase());
+}
diff --git a/ui/litellm-dashboard/src/components/view_logs/LogDetailsDrawer/SectionHeader.tsx b/ui/litellm-dashboard/src/components/view_logs/LogDetailsDrawer/SectionHeader.tsx
index e667e125149..632ea961853 100644
--- a/ui/litellm-dashboard/src/components/view_logs/LogDetailsDrawer/SectionHeader.tsx
+++ b/ui/litellm-dashboard/src/components/view_logs/LogDetailsDrawer/SectionHeader.tsx
@@ -19,9 +19,10 @@ interface SectionHeaderProps {
   onCopy: () => void;
   isCollapsed?: boolean;
   onToggleCollapse?: () => void;
+  turnCount?: number;
 }
 
-export function SectionHeader({ type, tokens, cost, onCopy, isCollapsed, onToggleCollapse }: SectionHeaderProps) {
+export function SectionHeader({ type, tokens, cost, onCopy, isCollapsed, onToggleCollapse, turnCount }: SectionHeaderProps) {
   return (
     <div
       onClick={onToggleCollapse}
@@ -81,6 +82,13 @@ export function SectionHeader({ type, tokens, cost, onCopy, isCollapsed, onToggl
             Cost: ${cost.toFixed(6)}
           </Text>
         )}
+
+        {/* Turn count */}
+        {turnCount !== undefined && turnCount > 0 && (
+          <Text type="secondary" style={{ fontSize: 12 }}>
+            Turns: {turnCount}
+          </Text>
+        )}
       </div>
 
       {/* Copy Button */}