diff --git a/litellm/proxy/_types.py b/litellm/proxy/_types.py
index 765e90bc896..8e2ec423cde 100644
--- a/litellm/proxy/_types.py
+++ b/litellm/proxy/_types.py
@@ -361,6 +361,16 @@ class LiteLLMRoutes(enum.Enum):
         "/realtime?{model}",
         "/v1/realtime?{model}",
         "/openai/v1/realtime?{model}",
+        # realtime (GA WebRTC HTTP routes)
+        "/realtime/client_secrets",
+        "/v1/realtime/client_secrets",
+        "/openai/v1/realtime/client_secrets",
+        "/realtime/calls",
+        "/v1/realtime/calls",
+        "/openai/v1/realtime/calls",
+        "/realtime/transcription_sessions",
+        "/v1/realtime/transcription_sessions",
+        "/openai/v1/realtime/transcription_sessions",
         # responses API
         "/responses",
         "/v1/responses",
diff --git a/litellm/proxy/auth/auth_utils.py b/litellm/proxy/auth/auth_utils.py
index c868d3d22b2..480f01e4b07 100644
--- a/litellm/proxy/auth/auth_utils.py
+++ b/litellm/proxy/auth/auth_utils.py
@@ -1227,6 +1227,14 @@ _MODEL_ROUTING_BODY_TARGET_MODEL_ROUTE_MARKERS = (
     "/vector_stores",
 )
 _MODEL_ROUTING_COMPLETION_MODEL_ROUTE_MARKERS = ("/evals",)
+# Realtime WebRTC routes carry the effective model inside the nested
+# ``session.model`` field (see realtime_endpoints.endpoints), so the model the
+# request will actually use is not present at the top level. Extract it here so
+# can_key_call_model() validates the real target model.
+_MODEL_ROUTING_SESSION_MODEL_ROUTE_MARKERS = (
+    "/realtime/client_secrets",
+    "/realtime/calls",
+)
 _MODEL_ROUTING_ID_FIELDS = (
     "file_id",
     "input_file_id",
@@ -1409,6 +1417,12 @@ def _extract_model_candidates_from_request(
     _append_model_candidates(candidates, body_model)
     if uses_body_target_model_sources or not body_model:
         _append_model_candidates(candidates, request_data.get("target_model_names"))
+    if _route_matches_any_marker(
+        route=route, markers=_MODEL_ROUTING_SESSION_MODEL_ROUTE_MARKERS
+    ):
+        session = request_data.get("session")
+        if isinstance(session, dict):
+            _append_model_candidates(candidates, session.get("model"))
     if uses_completion_model_sources and isinstance(
         request_data.get("completion"), dict
     ):
diff --git a/tests/test_litellm/proxy/auth/test_auth_utils.py b/tests/test_litellm/proxy/auth/test_auth_utils.py
index 32b597376b4..898dc9b03ae 100644
--- a/tests/test_litellm/proxy/auth/test_auth_utils.py
+++ b/tests/test_litellm/proxy/auth/test_auth_utils.py
@@ -530,6 +530,59 @@ def test_get_model_from_request_handles_managed_id_decoder_failures():
         )
 
 
+@pytest.mark.parametrize(
+    "route",
+    [
+        "/realtime/client_secrets",
+        "/v1/realtime/client_secrets",
+        "/openai/v1/realtime/client_secrets",
+        "/realtime/calls",
+        "/v1/realtime/calls",
+        "/openai/v1/realtime/calls",
+    ],
+)
+def test_get_model_from_request_extracts_realtime_session_model(route):
+    """The effective realtime model lives in ``session.model`` (not the
+    top-level ``model``). It must be surfaced so can_key_call_model() can
+    validate the model a restricted key is actually requesting.
+
+    Regression test for the model-access bypass on the GA Realtime WebRTC
+    HTTP routes (https://github.com/BerriAI/litellm/issues/29923).
+    """
+    assert (
+        get_model_from_request(
+            request_data={"session": {"type": "realtime", "model": "gpt-realtime"}},
+            route=route,
+        )
+        == "gpt-realtime"
+    )
+
+
+def test_get_model_from_request_realtime_includes_top_level_and_session_model():
+    """When both top-level and session model are present, both are returned so
+    neither path can smuggle a disallowed model past the model-access check."""
+    models = get_model_from_request(
+        request_data={
+            "model": "gpt-4o-realtime-preview",
+            "session": {"type": "realtime", "model": "gpt-realtime"},
+        },
+        route="/v1/realtime/client_secrets",
+    )
+    assert models == ["gpt-4o-realtime-preview", "gpt-realtime"]
+
+
+def test_get_model_from_request_ignores_session_model_on_non_realtime_routes():
+    """A nested ``session.model`` must not leak into model resolution for
+    unrelated routes."""
+    assert (
+        get_model_from_request(
+            request_data={"session": {"type": "realtime", "model": "gpt-realtime"}},
+            route="/v1/chat/completions",
+        )
+        is None
+    )
+
+
 def test_abbreviate_api_key():
     assert abbreviate_api_key("sk-test-1234") == "sk-...1234"
 
diff --git a/tests/test_litellm/proxy/auth/test_route_checks.py b/tests/test_litellm/proxy/auth/test_route_checks.py
index 07b04961205..7a4597c4e02 100644
--- a/tests/test_litellm/proxy/auth/test_route_checks.py
+++ b/tests/test_litellm/proxy/auth/test_route_checks.py
@@ -460,6 +460,32 @@ def test_mcp_inference_routes_classified_as_llm_api(route):
     assert RouteChecks.is_management_route(route=route) is False
 
 
+@pytest.mark.parametrize(
+    "route",
+    [
+        "/realtime/client_secrets",
+        "/v1/realtime/client_secrets",
+        "/openai/v1/realtime/client_secrets",
+        "/realtime/calls",
+        "/v1/realtime/calls",
+        "/openai/v1/realtime/calls",
+        "/realtime/transcription_sessions",
+        "/v1/realtime/transcription_sessions",
+        "/openai/v1/realtime/transcription_sessions",
+    ],
+)
+def test_realtime_webrtc_http_routes_classified_as_llm_api(route):
+    """GA Realtime WebRTC HTTP routes must be classified as LLM API routes so
+    non-admin virtual keys can call them instead of hitting the admin-only
+    401 branch in non_proxy_admin_allowed_routes_check.
+
+    Regression test for https://github.com/BerriAI/litellm/issues/29923
+    """
+
+    assert RouteChecks.is_llm_api_route(route=route) is True
+    assert RouteChecks.is_management_route(route=route) is False
+
+
 def test_virtual_key_allowed_routes_with_litellm_routes_member_name_denied():
     """Test that virtual key is denied when route is not in the allowed LiteLLMRoutes group"""