diff --git a/Dockerfile b/Dockerfile
index 03779d6c884..915daff999c 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,9 +1,9 @@
 # Base image for building
-ARG LITELLM_BUILD_IMAGE=cgr.dev/chainguard/wolfi-base@sha256:f26d42a15d09d9a643b231df929fa3cf609bedc58a728eb445be89a9d8d1da9f
+ARG LITELLM_BUILD_IMAGE=cgr.dev/chainguard/wolfi-base@sha256:3258be472764337fd13095bcbb3182da170243b5819fd67ad4c0754590588b31
 
 # Runtime image
-ARG LITELLM_RUNTIME_IMAGE=cgr.dev/chainguard/wolfi-base@sha256:f26d42a15d09d9a643b231df929fa3cf609bedc58a728eb445be89a9d8d1da9f
-ARG UV_IMAGE=ghcr.io/astral-sh/uv:0.11.7@sha256:733b4042187702f832f7fdecb3aff14a61b288c4ca37af188bb5715c1caebaf8
+ARG LITELLM_RUNTIME_IMAGE=cgr.dev/chainguard/wolfi-base@sha256:3258be472764337fd13095bcbb3182da170243b5819fd67ad4c0754590588b31
+ARG UV_IMAGE=ghcr.io/astral-sh/uv:0.11.7@sha256:240fb85ab0f263ef12f492d8476aa3a2e4e1e333f7d67fbdd923d00a506a516a
 
 FROM $UV_IMAGE AS uvbin
 
diff --git a/cookbook/litellm-ollama-docker-image/requirements.txt b/cookbook/litellm-ollama-docker-image/requirements.txt
index 815a42a679e..9b9181b2360 100644
--- a/cookbook/litellm-ollama-docker-image/requirements.txt
+++ b/cookbook/litellm-ollama-docker-image/requirements.txt
@@ -1 +1 @@
-litellm==1.83.5
\ No newline at end of file
+litellm==1.83.14
diff --git a/docker/Dockerfile.alpine b/docker/Dockerfile.alpine
index 2cfc5ef03ff..5de588cf4e4 100644
--- a/docker/Dockerfile.alpine
+++ b/docker/Dockerfile.alpine
@@ -3,7 +3,7 @@ ARG LITELLM_BUILD_IMAGE=python:3.11-alpine@sha256:f07e2ace46f560f09a6eeec7b4913b
 
 # Runtime image
 ARG LITELLM_RUNTIME_IMAGE=python:3.11-alpine@sha256:f07e2ace46f560f09a6eeec7b4913b80ee99546e749ef82342a419a326620856
-ARG UV_IMAGE=ghcr.io/astral-sh/uv:0.11.7@sha256:733b4042187702f832f7fdecb3aff14a61b288c4ca37af188bb5715c1caebaf8
+ARG UV_IMAGE=ghcr.io/astral-sh/uv:0.11.7@sha256:240fb85ab0f263ef12f492d8476aa3a2e4e1e333f7d67fbdd923d00a506a516a
 
 FROM $UV_IMAGE AS uvbin
 
diff --git a/docker/Dockerfile.database b/docker/Dockerfile.database
index e3edcece61c..671f374ca27 100644
--- a/docker/Dockerfile.database
+++ b/docker/Dockerfile.database
@@ -1,9 +1,9 @@
 # Base image for building
-ARG LITELLM_BUILD_IMAGE=cgr.dev/chainguard/wolfi-base@sha256:f26d42a15d09d9a643b231df929fa3cf609bedc58a728eb445be89a9d8d1da9f
+ARG LITELLM_BUILD_IMAGE=cgr.dev/chainguard/wolfi-base@sha256:3258be472764337fd13095bcbb3182da170243b5819fd67ad4c0754590588b31
 
 # Runtime image
-ARG LITELLM_RUNTIME_IMAGE=cgr.dev/chainguard/wolfi-base@sha256:f26d42a15d09d9a643b231df929fa3cf609bedc58a728eb445be89a9d8d1da9f
-ARG UV_IMAGE=ghcr.io/astral-sh/uv:0.11.7@sha256:733b4042187702f832f7fdecb3aff14a61b288c4ca37af188bb5715c1caebaf8
+ARG LITELLM_RUNTIME_IMAGE=cgr.dev/chainguard/wolfi-base@sha256:3258be472764337fd13095bcbb3182da170243b5819fd67ad4c0754590588b31
+ARG UV_IMAGE=ghcr.io/astral-sh/uv:0.11.7@sha256:240fb85ab0f263ef12f492d8476aa3a2e4e1e333f7d67fbdd923d00a506a516a
 
 FROM $UV_IMAGE AS uvbin
 
diff --git a/docker/Dockerfile.dev b/docker/Dockerfile.dev
index e2dc1857835..ebc92a22d50 100644
--- a/docker/Dockerfile.dev
+++ b/docker/Dockerfile.dev
@@ -3,7 +3,7 @@ ARG LITELLM_BUILD_IMAGE=python:3.13-slim@sha256:739e7213785e88c0f702dcdc12c0973a
 
 # Runtime image
 ARG LITELLM_RUNTIME_IMAGE=python:3.13-slim@sha256:739e7213785e88c0f702dcdc12c0973afcbd606dbf021a589cab77d6b00b579d
-ARG UV_IMAGE=ghcr.io/astral-sh/uv:0.11.7@sha256:733b4042187702f832f7fdecb3aff14a61b288c4ca37af188bb5715c1caebaf8
+ARG UV_IMAGE=ghcr.io/astral-sh/uv:0.11.7@sha256:240fb85ab0f263ef12f492d8476aa3a2e4e1e333f7d67fbdd923d00a506a516a
 
 FROM $UV_IMAGE AS uvbin
 
diff --git a/docker/Dockerfile.health_check b/docker/Dockerfile.health_check
index 07d35b5e291..a2e5cb9f71f 100644
--- a/docker/Dockerfile.health_check
+++ b/docker/Dockerfile.health_check
@@ -1,4 +1,4 @@
-ARG UV_IMAGE=ghcr.io/astral-sh/uv:0.11.7@sha256:733b4042187702f832f7fdecb3aff14a61b288c4ca37af188bb5715c1caebaf8
+ARG UV_IMAGE=ghcr.io/astral-sh/uv:0.11.7@sha256:240fb85ab0f263ef12f492d8476aa3a2e4e1e333f7d67fbdd923d00a506a516a
 FROM $UV_IMAGE AS uvbin
 
 FROM python:3.13-slim@sha256:739e7213785e88c0f702dcdc12c0973afcbd606dbf021a589cab77d6b00b579d
diff --git a/docker/Dockerfile.non_root b/docker/Dockerfile.non_root
index 8512ae8ad92..ab40ee138e3 100644
--- a/docker/Dockerfile.non_root
+++ b/docker/Dockerfile.non_root
@@ -1,8 +1,8 @@
 # Base images
-ARG LITELLM_BUILD_IMAGE=cgr.dev/chainguard/wolfi-base@sha256:f26d42a15d09d9a643b231df929fa3cf609bedc58a728eb445be89a9d8d1da9f
-ARG LITELLM_RUNTIME_IMAGE=cgr.dev/chainguard/wolfi-base@sha256:f26d42a15d09d9a643b231df929fa3cf609bedc58a728eb445be89a9d8d1da9f
+ARG LITELLM_BUILD_IMAGE=cgr.dev/chainguard/wolfi-base@sha256:3258be472764337fd13095bcbb3182da170243b5819fd67ad4c0754590588b31
+ARG LITELLM_RUNTIME_IMAGE=cgr.dev/chainguard/wolfi-base@sha256:3258be472764337fd13095bcbb3182da170243b5819fd67ad4c0754590588b31
 ARG PROXY_EXTRAS_SOURCE=published
-ARG UV_IMAGE=ghcr.io/astral-sh/uv:0.11.7@sha256:733b4042187702f832f7fdecb3aff14a61b288c4ca37af188bb5715c1caebaf8
+ARG UV_IMAGE=ghcr.io/astral-sh/uv:0.11.7@sha256:240fb85ab0f263ef12f492d8476aa3a2e4e1e333f7d67fbdd923d00a506a516a
 
 FROM $UV_IMAGE AS uvbin
 
diff --git a/enterprise/enterprise_hooks/banned_keywords.py b/enterprise/enterprise_hooks/banned_keywords.py
index 4df138939ad..47421c96051 100644
--- a/enterprise/enterprise_hooks/banned_keywords.py
+++ b/enterprise/enterprise_hooks/banned_keywords.py
@@ -11,6 +11,10 @@ from typing import Literal
 import litellm
 from litellm.caching.caching import DualCache
 from litellm.proxy._types import UserAPIKeyAuth
+from litellm.proxy.guardrails._content_utils import (
+    is_text_content_call_type,
+    iter_message_text,
+)
 from litellm.integrations.custom_logger import CustomLogger
 from litellm._logging import verbose_proxy_logger
 from fastapi import HTTPException
@@ -73,10 +77,9 @@ class _ENTERPRISE_BannedKeywords(CustomLogger):
             - check if user id part of blocked list
             """
             self.print_verbose("Inside Banned Keyword List Pre-Call Hook")
-            if call_type == "completion" and "messages" in data:
-                for m in data["messages"]:
-                    if "content" in m and isinstance(m["content"], str):
-                        self.test_violation(test_str=m["content"])
+            if is_text_content_call_type(call_type):
+                for text in iter_message_text(data):
+                    self.test_violation(test_str=text)
 
         except HTTPException as e:
             raise e
@@ -93,11 +96,16 @@ class _ENTERPRISE_BannedKeywords(CustomLogger):
         user_api_key_dict: UserAPIKeyAuth,
         response,
     ):
-        if isinstance(response, litellm.ModelResponse) and isinstance(
-            response.choices[0], litellm.utils.Choices
-        ):
-            for word in self.banned_keywords_list:
-                self.test_violation(test_str=response.choices[0].message.content or "")
+        if not isinstance(response, litellm.ModelResponse):
+            return
+
+        for choice in response.choices:
+            if not isinstance(choice, litellm.utils.Choices):
+                continue
+            message = getattr(choice, "message", None)
+            content = getattr(message, "content", None)
+            if isinstance(content, str):
+                self.test_violation(test_str=content)
 
     async def async_post_call_streaming_hook(
         self,
diff --git a/enterprise/enterprise_hooks/google_text_moderation.py b/enterprise/enterprise_hooks/google_text_moderation.py
index 1f26d52adf8..5b2d71c5cca 100644
--- a/enterprise/enterprise_hooks/google_text_moderation.py
+++ b/enterprise/enterprise_hooks/google_text_moderation.py
@@ -12,6 +12,7 @@ import litellm
 from litellm._logging import verbose_proxy_logger
 from litellm.integrations.custom_logger import CustomLogger
 from litellm.proxy._types import UserAPIKeyAuth
+from litellm.proxy.guardrails._content_utils import iter_message_text
 from litellm.types.utils import CallTypesLiteral
 
 
@@ -94,11 +95,9 @@ class _ENTERPRISE_GoogleTextModeration(CustomLogger):
         - Calls Google's Text Moderation API
         - Rejects request if it fails safety check
         """
-        if "messages" in data and isinstance(data["messages"], list):
-            text = ""
-            for m in data["messages"]:  # assume messages is a list
-                if "content" in m and isinstance(m["content"], str):
-                    text += m["content"]
+        # Covers multimodal list content + Responses-API input.
+        text = "".join(iter_message_text(data))
+        if text:
             document = self.language_document(content=text, type_=self.document_type)
 
             request = self.moderate_text_request(
diff --git a/enterprise/enterprise_hooks/openai_moderation.py b/enterprise/enterprise_hooks/openai_moderation.py
index a1db9818e5e..2162370804a 100644
--- a/enterprise/enterprise_hooks/openai_moderation.py
+++ b/enterprise/enterprise_hooks/openai_moderation.py
@@ -19,6 +19,7 @@ import litellm
 from litellm._logging import verbose_proxy_logger
 from litellm.integrations.custom_logger import CustomLogger
 from litellm.proxy._types import UserAPIKeyAuth
+from litellm.proxy.guardrails._content_utils import iter_message_text
 from litellm.types.utils import CallTypesLiteral
 
 
@@ -37,11 +38,8 @@ class _ENTERPRISE_OpenAI_Moderation(CustomLogger):
         user_api_key_dict: UserAPIKeyAuth,
         call_type: CallTypesLiteral,
     ):
-        text = ""
-        if "messages" in data and isinstance(data["messages"], list):
-            for m in data["messages"]:  # assume messages is a list
-                if "content" in m and isinstance(m["content"], str):
-                    text += m["content"]
+        # Covers multimodal list content + Responses-API input.
+        text = "".join(iter_message_text(data))
 
         from litellm.proxy.proxy_server import llm_router
 
diff --git a/enterprise/litellm_enterprise/enterprise_callbacks/secret_detection.py b/enterprise/litellm_enterprise/enterprise_callbacks/secret_detection.py
index 8a7a82df686..f441ce71ab9 100644
--- a/enterprise/litellm_enterprise/enterprise_callbacks/secret_detection.py
+++ b/enterprise/litellm_enterprise/enterprise_callbacks/secret_detection.py
@@ -18,6 +18,7 @@ from litellm._logging import verbose_proxy_logger
 from litellm.caching.caching import DualCache
 from litellm.integrations.custom_guardrail import CustomGuardrail
 from litellm.proxy._types import UserAPIKeyAuth
+from litellm.proxy.guardrails._content_utils import walk_user_text
 
 GUARDRAIL_NAME = "hide_secrets"
 
@@ -473,23 +474,19 @@ class _ENTERPRISE_SecretDetection(CustomGuardrail):
         if await self.should_run_check(user_api_key_dict) is False:
             return
 
-        if "messages" in data and isinstance(data["messages"], list):
-            for message in data["messages"]:
-                if "content" in message and isinstance(message["content"], str):
-                    detected_secrets = self.scan_message_for_secrets(message["content"])
+        # Covers multimodal list content + Responses-API input.
+        def _redact_message_text(text: str) -> str:
+            detected_secrets = self.scan_message_for_secrets(text)
+            for secret in detected_secrets:
+                text = text.replace(secret["value"], "[REDACTED]")
+            if detected_secrets:
+                secret_types = [secret["type"] for secret in detected_secrets]
+                verbose_proxy_logger.warning(
+                    f"Detected and redacted secrets in message: {secret_types}"
+                )
+            return text
 
-                    for secret in detected_secrets:
-                        message["content"] = message["content"].replace(
-                            secret["value"], "[REDACTED]"
-                        )
-
-                    if len(detected_secrets) > 0:
-                        secret_types = [secret["type"] for secret in detected_secrets]
-                        verbose_proxy_logger.warning(
-                            f"Detected and redacted secrets in message: {secret_types}"
-                        )
-                    else:
-                        verbose_proxy_logger.debug("No secrets detected on input.")
+        walk_user_text(data, _redact_message_text)
 
         if "prompt" in data:
             if isinstance(data["prompt"], str):
@@ -504,11 +501,15 @@ class _ENTERPRISE_SecretDetection(CustomGuardrail):
                         f"Detected and redacted secrets in prompt: {secret_types}"
                     )
             elif isinstance(data["prompt"], list):
-                for item in data["prompt"]:
+                # Index back into the list — assigning to ``item`` would only
+                # rebind the loop variable and leave ``data["prompt"]``
+                # carrying the unredacted secret.
+                for idx, item in enumerate(data["prompt"]):
                     if isinstance(item, str):
                         detected_secrets = self.scan_message_for_secrets(item)
                         for secret in detected_secrets:
                             item = item.replace(secret["value"], "[REDACTED]")
+                        data["prompt"][idx] = item
                         if len(detected_secrets) > 0:
                             secret_types = [
                                 secret["type"] for secret in detected_secrets
@@ -517,31 +518,6 @@ class _ENTERPRISE_SecretDetection(CustomGuardrail):
                                 f"Detected and redacted secrets in prompt: {secret_types}"
                             )
 
-        if "input" in data:
-            if isinstance(data["input"], str):
-                detected_secrets = self.scan_message_for_secrets(data["input"])
-                for secret in detected_secrets:
-                    data["input"] = data["input"].replace(secret["value"], "[REDACTED]")
-                if len(detected_secrets) > 0:
-                    secret_types = [secret["type"] for secret in detected_secrets]
-                    verbose_proxy_logger.warning(
-                        f"Detected and redacted secrets in input: {secret_types}"
-                    )
-            elif isinstance(data["input"], list):
-                _input_in_request = data["input"]
-                for idx, item in enumerate(_input_in_request):
-                    if isinstance(item, str):
-                        detected_secrets = self.scan_message_for_secrets(item)
-                        for secret in detected_secrets:
-                            _input_in_request[idx] = item.replace(
-                                secret["value"], "[REDACTED]"
-                            )
-                        if len(detected_secrets) > 0:
-                            secret_types = [
-                                secret["type"] for secret in detected_secrets
-                            ]
-                            verbose_proxy_logger.warning(
-                                f"Detected and redacted secrets in input: {secret_types}"
-                            )
-                verbose_proxy_logger.debug("Data after redacting input %s", data)
+        # ``data["input"]`` (Responses API and embeddings/moderation) is
+        # already covered by ``walk_user_text`` above.
         return
diff --git a/enterprise/litellm_enterprise/proxy/hooks/managed_files.py b/enterprise/litellm_enterprise/proxy/hooks/managed_files.py
index 60c564072a0..5ed49070347 100644
--- a/enterprise/litellm_enterprise/proxy/hooks/managed_files.py
+++ b/enterprise/litellm_enterprise/proxy/hooks/managed_files.py
@@ -15,6 +15,11 @@ from litellm.caching.caching import DualCache
 from litellm.integrations.custom_logger import CustomLogger
 from litellm.litellm_core_utils.prompt_templates.common_utils import extract_file_data
 from litellm.llms.base_llm.files.transformation import BaseFileEndpoints
+from litellm.llms.base_llm.managed_resources.isolation import (
+    build_list_page,
+    build_owner_filter,
+    can_access_resource,
+)
 from litellm.proxy._types import (
     CallTypes,
     LiteLLM_ManagedFileTable,
@@ -99,6 +104,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
                 model_mappings=model_mappings,
                 flat_model_file_ids=list(model_mappings.values()),
                 created_by=user_api_key_dict.user_id,
+                team_id=user_api_key_dict.team_id,
                 updated_by=user_api_key_dict.user_id,
             )
             await self.internal_usage_cache.async_set_cache(
@@ -114,6 +120,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
             "model_mappings": json.dumps(model_mappings),
             "flat_model_file_ids": list(model_mappings.values()),
             "created_by": user_api_key_dict.user_id,
+            "team_id": user_api_key_dict.team_id,
             "updated_by": user_api_key_dict.user_id,
         }
 
@@ -125,7 +132,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
                 db_data["storage_backend"] = hidden_params["storage_backend"]
             if "storage_url" in hidden_params:
                 db_data["storage_url"] = hidden_params["storage_url"]
-            
+
             verbose_logger.debug(
                 f"Storage metadata: storage_backend={db_data.get('storage_backend')}, "
                 f"storage_url={db_data.get('storage_url')}"
@@ -171,6 +178,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
                     "model_object_id": model_object_id,
                     "file_purpose": file_purpose,
                     "created_by": user_api_key_dict.user_id,
+                    "team_id": user_api_key_dict.team_id,
                     "updated_by": user_api_key_dict.user_id,
                     "status": file_object.status,
                 },
@@ -229,15 +237,16 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
     async def can_user_call_unified_file_id(
         self, unified_file_id: str, user_api_key_dict: UserAPIKeyAuth
     ) -> bool:
-        ## check if the user has access to the unified file id
-
-        user_id = user_api_key_dict.user_id
         managed_file = await self.prisma_client.db.litellm_managedfiletable.find_first(
             where={"unified_file_id": unified_file_id}
         )
 
         if managed_file:
-            return managed_file.created_by == user_id
+            return can_access_resource(
+                user_api_key_dict=user_api_key_dict,
+                created_by=managed_file.created_by,
+                resource_team_id=managed_file.team_id,
+            )
         raise HTTPException(
             status_code=404,
             detail=f"File not found: {unified_file_id}",
@@ -246,8 +255,6 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
     async def can_user_call_unified_object_id(
         self, unified_object_id: str, user_api_key_dict: UserAPIKeyAuth
     ) -> bool:
-        ## check if the user has access to the unified object id
-        user_id = user_api_key_dict.user_id
         managed_object = (
             await self.prisma_client.db.litellm_managedobjecttable.find_first(
                 where={"unified_object_id": unified_object_id}
@@ -255,7 +262,11 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
         )
 
         if managed_object:
-            return managed_object.created_by == user_id
+            return can_access_resource(
+                user_api_key_dict=user_api_key_dict,
+                created_by=managed_object.created_by,
+                resource_team_id=managed_object.team_id,
+            )
         raise HTTPException(
             status_code=404,
             detail=f"Object not found: {unified_object_id}",
@@ -285,28 +296,27 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
             raise Exception(
                 "Filtering by 'target_model_names' is not supported when using managed batches."
             )
-        
-        where_clause: Dict[str, Any] = {"file_purpose": "batch"}
-        
-        # Filter by user who created the batch
-        if user_api_key_dict.user_id:
-            where_clause["created_by"] = user_api_key_dict.user_id
-        
+
+        owner_filter = build_owner_filter(user_api_key_dict)
+        if owner_filter is None:
+            return build_list_page([])
+
+        where_clause: Dict[str, Any] = {"file_purpose": "batch", **owner_filter}
+
         if after:
             where_clause["id"] = {"gt": after}
-        
-        # Fetch more than needed to allow for post-fetch filtering
+
         fetch_limit = limit or 20
         if target_model_names:
-            # Fetch extra to account for filtering
+            # Oversample so post-fetch model-name filtering still has enough rows.
             fetch_limit = max(fetch_limit * 3, 100)
-        
+
         batches = await self.prisma_client.db.litellm_managedobjecttable.find_many(
             where=where_clause,
             take=fetch_limit,
             order={"created_at": "desc"},
         )
-                
+
         batch_objects: List[LiteLLMBatch] = []
         for batch in batches:
             try:
@@ -314,7 +324,11 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
                 if len(batch_objects) >= (limit or 20):
                     break
 
-                batch_data = json.loads(batch.file_object) if isinstance(batch.file_object, str) else batch.file_object
+                batch_data = (
+                    json.loads(batch.file_object)
+                    if isinstance(batch.file_object, str)
+                    else batch.file_object
+                )
                 batch_obj = LiteLLMBatch(**batch_data)
                 batch_obj.id = batch.unified_object_id
                 batch_objects.append(batch_obj)
@@ -324,27 +338,29 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
                     f"Failed to parse batch object {batch.unified_object_id}: {e}"
                 )
                 continue
-        
-        return {
-            "object": "list",
-            "data": batch_objects,
-            "first_id": batch_objects[0].id if batch_objects else None,
-            "last_id": batch_objects[-1].id if batch_objects else None,
-            "has_more": len(batch_objects) == (limit or 20),
-        }
+
+        return build_list_page(
+            batch_objects, has_more=len(batch_objects) == (limit or 20)
+        )
 
     async def get_user_created_file_ids(
         self, user_api_key_dict: UserAPIKeyAuth, model_object_ids: List[str]
     ) -> List[OpenAIFileObject]:
         """
-        Get all file ids created by the user for a list of model object ids
+        Get all file ids the caller is allowed to see for a list of model
+        object ids. Service-account keys (no user_id) are scoped to their
+        team via ``team_id``; admins see all matches.
 
         Returns:
          - List of OpenAIFileObject's
         """
+        owner_filter = build_owner_filter(user_api_key_dict)
+        if owner_filter is None:
+            return []
+
         file_ids = await self.prisma_client.db.litellm_managedfiletable.find_many(
             where={
-                "created_by": user_api_key_dict.user_id,
+                **owner_filter,
                 "flat_model_file_ids": {"hasSome": model_object_ids},
             }
         )
@@ -377,11 +393,11 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
         """
         Check if the user has access to a list of file IDs.
         Only checks managed (unified) file IDs.
-        
+
         Args:
             file_ids: List of file IDs to check access for
             user_api_key_dict: User API key authentication details
-            
+
         Raises:
             HTTPException: If user doesn't have access to any of the files
         """
@@ -419,10 +435,10 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
         ### HANDLE TRANSFORMATIONS ###
         # Check both completion and acompletion call types
         is_completion_call = (
-            call_type == CallTypes.completion.value 
+            call_type == CallTypes.completion.value
             or call_type == CallTypes.acompletion.value
         )
-        
+
         if is_completion_call:
             messages = data.get("messages")
             model = data.get("model", "")
@@ -431,22 +447,27 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
                 if file_ids:
                     # Check user has access to all managed files
                     await self.check_file_ids_access(file_ids, user_api_key_dict)
-                    
+
                     # Check if any files are stored in storage backends and need base64 conversion
                     # This is needed for Vertex AI/Gemini which requires base64 content
-                    is_vertex_ai = model and ("vertex_ai" in model or "gemini" in model.lower())
+                    is_vertex_ai = model and (
+                        "vertex_ai" in model or "gemini" in model.lower()
+                    )
                     if is_vertex_ai:
                         await self._convert_storage_files_to_base64(
                             messages=messages,
                             file_ids=file_ids,
                             litellm_parent_otel_span=user_api_key_dict.parent_otel_span,
                         )
-                    
+
                     model_file_id_mapping = await self.get_model_file_id_mapping(
                         file_ids, user_api_key_dict.parent_otel_span
                     )
                     data["model_file_id_mapping"] = model_file_id_mapping
-        elif call_type == CallTypes.aresponses.value or call_type == CallTypes.responses.value:
+        elif (
+            call_type == CallTypes.aresponses.value
+            or call_type == CallTypes.responses.value
+        ):
             # Handle managed files in responses API input and tools
             file_ids = []
 
@@ -611,7 +632,9 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
             if model_id is None:
                 model_id = cast(
                     Optional[str],
-                    kwargs.get("litellm_metadata", {}).get("model_info", {}).get("id", None),
+                    kwargs.get("litellm_metadata", {})
+                    .get("model_info", {})
+                    .get("id", None),
                 )
             mapped_file_id: Optional[str] = None
             if input_file_id and model_file_id_mapping and model_id:
@@ -648,7 +671,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
     ) -> List[str]:
         """
         Gets file ids from responses API input.
-        
+
         The input can be:
         - A string (no files)
         - A list of input items, where each item can have:
@@ -656,32 +679,35 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
           - content: a list that can contain items with type: "input_file" and file_id
         """
         file_ids: List[str] = []
-        
+
         if isinstance(input, str):
             return file_ids
-        
+
         if not isinstance(input, list):
             return file_ids
-        
+
         for item in input:
             if not isinstance(item, dict):
                 continue
-            
+
             # Check for direct input_file type
             if item.get("type") == "input_file":
                 file_id = item.get("file_id")
                 if file_id:
                     file_ids.append(file_id)
-            
+
             # Check for input_file in content array
             content = item.get("content")
             if isinstance(content, list):
                 for content_item in content:
-                    if isinstance(content_item, dict) and content_item.get("type") == "input_file":
+                    if (
+                        isinstance(content_item, dict)
+                        and content_item.get("type") == "input_file"
+                    ):
                         file_id = content_item.get("file_id")
                         if file_id:
                             file_ids.append(file_id)
-        
+
         return file_ids
 
     def get_file_ids_from_responses_tools(
@@ -689,7 +715,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
     ) -> List[str]:
         """
         Gets file ids from responses API tools parameter.
-        
+
         The tools can contain code_interpreter with container.file_ids:
         [
             {
@@ -699,14 +725,14 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
         ]
         """
         file_ids: List[str] = []
-        
+
         if not isinstance(tools, list):
             return file_ids
-        
+
         for tool in tools:
             if not isinstance(tool, dict):
                 continue
-            
+
             # Check for code_interpreter with container file_ids
             if tool.get("type") == "code_interpreter":
                 container = tool.get("container")
@@ -716,7 +742,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
                         for file_id in container_file_ids:
                             if isinstance(file_id, str):
                                 file_ids.append(file_id)
-        
+
         return file_ids
 
     def get_vector_store_ids_from_file_search_tools(
@@ -916,10 +942,17 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
         # Emit Prometheus metrics for managed file creation
         prom_logger = self._get_prometheus_logger()
         if prom_logger:
-            first_model = target_model_names_list[0] if target_model_names_list else None
+            first_model = (
+                target_model_names_list[0] if target_model_names_list else None
+            )
             first_provider = ""
             if responses:
-                first_provider = getattr(responses[0], "_hidden_params", {}).get("custom_llm_provider") or ""
+                first_provider = (
+                    getattr(responses[0], "_hidden_params", {}).get(
+                        "custom_llm_provider"
+                    )
+                    or ""
+                )
             prom_logger.record_managed_file_created(
                 model=first_model or "",
                 api_provider=first_provider,
@@ -1073,16 +1106,24 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
                             model_name=resolved_model_name,
                         )
                         setattr(response, file_attr, unified_file_id)
-                        
+
                         # Use llm_router credentials when available. Without credentials,
                         # Azure and other auth-required providers return 500/401.
                         file_object = None
                         try:
                             # Import module and use getattr for better testability with mocks
                             import litellm.proxy.proxy_server as proxy_server_module
-                            _llm_router = getattr(proxy_server_module, 'llm_router', None)
+
+                            _llm_router = getattr(
+                                proxy_server_module, "llm_router", None
+                            )
                             if _llm_router is not None and model_id:
-                                _creds = _llm_router.get_deployment_credentials_with_provider(model_id) or {}
+                                _creds = (
+                                    _llm_router.get_deployment_credentials_with_provider(
+                                        model_id
+                                    )
+                                    or {}
+                                )
                                 file_object = await litellm.afile_retrieve(
                                     file_id=original_file_id,
                                     **_creds,
@@ -1099,7 +1140,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
                             verbose_logger.warning(
                                 f"Failed to retrieve file object for {file_attr}={original_file_id}: {str(e)}. Storing with None and will fetch on-demand."
                             )
-                        
+
                         await self.store_unified_file_id(
                             file_id=unified_file_id,
                             file_object=file_object,
@@ -1128,6 +1169,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
                             from litellm.litellm_core_utils.get_llm_provider_logic import (
                                 get_llm_provider,
                             )
+
                             _, batch_provider, _, _ = get_llm_provider(model=model_name)
                         except Exception:
                             if "/" in model_name:
@@ -1199,7 +1241,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
         # Case 1 : This is not a managed file
         if not stored_file_object:
             raise Exception(f"LiteLLM Managed File object with id={file_id} not found")
-        
+
         # Case 2: Managed file and the file object exists in the database
         # The stored file_object has the raw provider ID. Replace with the unified ID
         # so callers see a consistent ID (matching Case 3 which does response.id = file_id).
@@ -1217,13 +1259,21 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
             )
 
         try:
-            model_id, model_file_id = next(iter(stored_file_object.model_mappings.items()))
-            credentials = llm_router.get_deployment_credentials_with_provider(model_id) or {}
-            response = await litellm.afile_retrieve(file_id=model_file_id, **credentials)
+            model_id, model_file_id = next(
+                iter(stored_file_object.model_mappings.items())
+            )
+            credentials = (
+                llm_router.get_deployment_credentials_with_provider(model_id) or {}
+            )
+            response = await litellm.afile_retrieve(
+                file_id=model_file_id, **credentials
+            )
             response.id = file_id  # Replace with unified ID
             return response
         except Exception as e:
-            raise Exception(f"Failed to retrieve file {file_id} from provider: {str(e)}") from e
+            raise Exception(
+                f"Failed to retrieve file {file_id} from provider: {str(e)}"
+            ) from e
 
     async def afile_list(
         self,
@@ -1245,19 +1295,19 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
             import litellm.proxy.proxy_server as proxy_server_module
 
             # Check if the scheduler has the batch cost checking job registered
-            scheduler = getattr(proxy_server_module, 'scheduler', None)
+            scheduler = getattr(proxy_server_module, "scheduler", None)
             if scheduler is None:
                 return False
-            
+
             # Check if the check_batch_cost_job exists in the scheduler
             try:
-                job = scheduler.get_job('check_batch_cost_job')
+                job = scheduler.get_job("check_batch_cost_job")
                 if job is not None:
                     return True
             except Exception:
                 # Job not found or scheduler doesn't support get_job
                 pass
-            
+
             return False
         except Exception as e:
             verbose_logger.warning(
@@ -1265,28 +1315,26 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
             )
             return False
 
-    async def _get_batches_referencing_file(
-        self, file_id: str
-    ) -> List[Dict[str, Any]]:
+    async def _get_batches_referencing_file(self, file_id: str) -> List[Dict[str, Any]]:
         """
         Find batches that reference this file and still need cost tracking.
         Find batches that are in non-terminal state and have not yet been processed by CheckBatchCost.
         Args:
             file_id: The unified file ID to check
-            
+
         Returns:
             List of batch objects referencing this file in non-terminal state
             (max 10 for error message display)
         """
         # Prepare list of file IDs to check (both unified and provider IDs)
         file_ids_to_check = [file_id]
-        
+
         # Get model-specific file IDs for this unified file ID if it's a managed file
         try:
             model_file_id_mapping = await self.get_model_file_id_mapping(
                 [file_id], litellm_parent_otel_span=None
             )
-            
+
             if model_file_id_mapping and file_id in model_file_id_mapping:
                 # Add all provider file IDs for this unified file
                 provider_file_ids = list(model_file_id_mapping[file_id].values())
@@ -1296,59 +1344,67 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
                 f"Could not get model file ID mapping for {file_id}: {e}. "
                 f"Will only check unified file ID."
             )
-        MAX_MATCHES_TO_RETURN = 10 
-        
+        MAX_MATCHES_TO_RETURN = 10
+
         batches = await self.prisma_client.db.litellm_managedobjecttable.find_many(
             where={
                 "file_purpose": "batch",
                 "batch_processed": False,
-                "status": {"not_in": ["failed", "expired", "cancelled"]}
+                "status": {"not_in": ["failed", "expired", "cancelled"]},
             },
             take=MAX_MATCHES_TO_RETURN,
             order={"created_at": "desc"},
         )
-        
+
         referencing_batches = []
         for batch in batches:
             try:
                 # Parse the batch file_object to check for file references
-                batch_data = json.loads(batch.file_object) if isinstance(batch.file_object, str) else batch.file_object
-                
+                batch_data = (
+                    json.loads(batch.file_object)
+                    if isinstance(batch.file_object, str)
+                    else batch.file_object
+                )
+
                 # Extract file IDs from batch
                 # Batches typically reference the unified file ID in input_file_id
                 # Output and error files are generated by the provider
                 input_file_id = batch_data.get("input_file_id")
                 output_file_id = batch_data.get("output_file_id")
                 error_file_id = batch_data.get("error_file_id")
-                
-                referenced_file_ids = [fid for fid in [input_file_id, output_file_id, error_file_id] if fid]
-                
+
+                referenced_file_ids = [
+                    fid for fid in [input_file_id, output_file_id, error_file_id] if fid
+                ]
+
                 # Check if any referenced file ID matches the file we're trying to delete
                 if any(ref_id in file_ids_to_check for ref_id in referenced_file_ids):
-                    referencing_batches.append({
-                        "batch_id": batch.unified_object_id,
-                        "status": batch.status,
-                        "created_at": batch.created_at,
-                    })
+                    referencing_batches.append(
+                        {
+                            "batch_id": batch.unified_object_id,
+                            "status": batch.status,
+                            "created_at": batch.created_at,
+                        }
+                    )
             except Exception as e:
                 verbose_logger.warning(
                     f"Error parsing batch object {batch.unified_object_id}: {e}"
                 )
                 continue
-        
+
         return referencing_batches
 
     async def _check_file_deletion_allowed(self, file_id: str) -> None:
         """
         Check if file deletion should be blocked due to batch references.
-        
+
         Blocks deletion if:
         1. File is referenced by any batch in non-terminal state, AND
         2. Batch polling is configured (user wants cost tracking)
-        
+
         Args:
             file_id: The unified file ID to check
-            
+
         Raises:
             HTTPException: If file deletion should be blocked
         """
@@ -1356,39 +1412,45 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
         if not self._is_batch_polling_enabled():
             # Batch polling not configured, allow deletion
             return
-        
+
         # Check if file is referenced by any non-terminal batches
         referencing_batches = await self._get_batches_referencing_file(file_id)
-        
+
         if referencing_batches:
             # File is referenced by non-terminal batches and polling is enabled
-            MAX_BATCHES_IN_ERROR = 5  # Limit batches shown in error message for readability
-            
+            MAX_BATCHES_IN_ERROR = (
+                5  # Limit batches shown in error message for readability
+            )
+
             # Show up to MAX_BATCHES_IN_ERROR in the error message
             batches_to_show = referencing_batches[:MAX_BATCHES_IN_ERROR]
-            batch_statuses = [f"{b['batch_id']}: {b['status']}" for b in batches_to_show]
-            
+            batch_statuses = [
+                f"{b['batch_id']}: {b['status']}" for b in batches_to_show
+            ]
+
             # Determine the count message
             count_message = f"{len(referencing_batches)}"
-            if len(referencing_batches) >= 10:  # MAX_MATCHES_TO_RETURN from _get_batches_referencing_file
+            if (
+                len(referencing_batches) >= 10
+            ):  # MAX_MATCHES_TO_RETURN from _get_batches_referencing_file
                 count_message = "10+"
-            
+
             error_message = (
                 f"Cannot delete file {file_id}. "
                 f"The file is referenced by {count_message} batch(es) in non-terminal state"
             )
-            
+
             # Add specific batch details if not too many
             if len(referencing_batches) <= MAX_BATCHES_IN_ERROR:
                 error_message += f": {', '.join(batch_statuses)}. "
             else:
                 error_message += f" (showing {MAX_BATCHES_IN_ERROR} most recent): {', '.join(batch_statuses)}. "
-            
+
             error_message += (
                 f"To delete this file before complete cost tracking, please delete or cancel the referencing batch(es) first. "
                 f"Alternatively, wait for all batches to complete and for cost to be computed (batch_processed=true)."
             )
-            
+
             # Record blocked deletion metric
             prom_logger = self._get_prometheus_logger()
             if prom_logger:
@@ -1419,7 +1481,9 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
         specific_model_file_id_mapping = model_file_id_mapping.get(file_id)
         if specific_model_file_id_mapping:
             # Remove conflicting keys from data to avoid duplicate keyword arguments
-            filtered_data = {k: v for k, v in data.items() if k not in ("model", "file_id")}
+            filtered_data = {
+                k: v for k, v in data.items() if k not in ("model", "file_id")
+            }
             for model_id, model_file_id in specific_model_file_id_mapping.items():
                 delete_response = await llm_router.afile_delete(model=model_id, file_id=model_file_id, **filtered_data)  # type: ignore
 
@@ -1480,7 +1544,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
     ) -> None:
         """
         Convert files stored in storage backends to base64 format for Vertex AI/Gemini.
-        
+
         This method checks if any managed files are stored in storage backends,
         downloads them, and converts them to base64 format in the messages.
         """
@@ -1488,29 +1552,29 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
         for file_id in file_ids:
             # Check if this is a base64 encoded unified file ID
             decoded_unified_file_id = _is_base64_encoded_unified_file_id(file_id)
-            
+
             if not decoded_unified_file_id:
                 continue
-            
+
             # Check database for storage backend info
             # IMPORTANT: The database stores the base64 encoded unified_file_id (not the decoded version)
             # So we query with the original file_id (which is base64 encoded)
             db_file = await self.prisma_client.db.litellm_managedfiletable.find_first(
                 where={"unified_file_id": file_id}
             )
-            
+
             if not db_file or not db_file.storage_backend or not db_file.storage_url:
                 continue
-            
+
             # File is stored in a storage backend, download and convert to base64
             try:
                 from litellm.llms.base_llm.files.storage_backend_factory import (
                     get_storage_backend,
                 )
-                
+
                 storage_backend_name = db_file.storage_backend
                 storage_url = db_file.storage_url
-                
+
                 # Get storage backend (uses same env vars as callback)
                 try:
                     storage_backend = get_storage_backend(storage_backend_name)
@@ -1519,18 +1583,22 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
                         f"Storage backend '{storage_backend_name}' error for file {file_id}: {str(e)}"
                     )
                     continue
-                
+
                 file_content = await storage_backend.download_file(storage_url)
-                
+
                 # Determine content type from file object
-                content_type = self._get_content_type_from_file_object(db_file.file_object)
-                
+                content_type = self._get_content_type_from_file_object(
+                    db_file.file_object
+                )
+
                 # Convert to base64
                 base64_data = base64.b64encode(file_content).decode("utf-8")
                 base64_data_uri = f"data:{content_type};base64,{base64_data}"
-                
+
                 # Update messages to use base64 instead of file_id
-                self._update_messages_with_base64_data(messages, file_id, base64_data_uri, content_type)
+                self._update_messages_with_base64_data(
+                    messages, file_id, base64_data_uri, content_type
+                )
             except Exception as e:
                 verbose_logger.exception(
                     f"Error converting file {file_id} from storage backend to base64: {str(e)}"
@@ -1541,21 +1609,21 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
     def _get_content_type_from_file_object(self, file_object: Optional[Any]) -> str:
         """
         Determine content type from file object.
-        
+
         Uses the MIME type utility for consistent detection and normalization.
-        
+
         Args:
             file_object: The file object from the database (can be dict, JSON string, or None)
-        
+
         Returns:
             str: MIME type (defaults to "application/octet-stream" if cannot be determined)
         """
         # Use utility function for detection
         content_type = get_content_type_from_file_object(file_object)
-        
+
         # Normalize for Gemini/Vertex AI (requires image/jpeg, not image/jpg)
         content_type = normalize_mime_type_for_provider(content_type, provider="gemini")
-        
+
         return content_type
 
     def _update_messages_with_base64_data(
@@ -1567,7 +1635,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
     ) -> None:
         """
         Update messages to replace file_id with base64 data URI.
-        
+
         Args:
             messages: List of messages to update
             file_id: The file ID to replace
@@ -1582,7 +1650,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
                         if element.get("type") == "file":
                             file_element = cast(ChatCompletionFileObject, element)
                             file_element_file = file_element.get("file", {})
-                            
+
                             if file_element_file.get("file_id") == file_id:
                                 # Replace file_id with base64 data
                                 file_element_file["file_data"] = base64_data_uri
@@ -1590,7 +1658,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
                                 file_element_file["format"] = content_type
                                 # Remove file_id to ensure only file_data is used
                                 file_element_file.pop("file_id", None)
-                                
+
                                 verbose_logger.debug(
                                     f"Converted file {file_id} from storage backend to base64 with format {content_type}"
                                 )
diff --git a/enterprise/pyproject.toml b/enterprise/pyproject.toml
index cfbbe1f494c..b00bb2af0d7 100644
--- a/enterprise/pyproject.toml
+++ b/enterprise/pyproject.toml
@@ -16,7 +16,7 @@ Repository = "https://github.com/BerriAI/litellm"
 Documentation = "https://docs.litellm.ai"
 
 [build-system]
-requires = ["uv_build==0.10.7"]
+requires = ["uv_build==0.11.8"]
 build-backend = "uv_build"
 
 [tool.uv]
diff --git a/litellm-js/proxy/package-lock.json b/litellm-js/proxy/package-lock.json
new file mode 100644
index 00000000000..0d09fa1a6c4
--- /dev/null
+++ b/litellm-js/proxy/package-lock.json
@@ -0,0 +1,2054 @@
+{
+  "name": "proxy",
+  "lockfileVersion": 3,
+  "requires": true,
+  "packages": {
+    "": {
+      "dependencies": {
+        "hono": "4.12.16",
+        "openai": "4.29.2"
+      },
+      "devDependencies": {
+        "@cloudflare/workers-types": "4.20260501.1",
+        "wrangler": "4.87.0"
+      }
+    },
+    "node_modules/@cloudflare/kv-asset-handler": {
+      "version": "0.5.0",
+      "resolved": "https://registry.npmjs.org/@cloudflare/kv-asset-handler/-/kv-asset-handler-0.5.0.tgz",
+      "integrity": "sha512-jxQYkj8dSIzc0cD6cMMNdOc1UVjqSqu8BZdor5s8cGjW2I8BjODt/kWPVdY+u9zj3ms75Q5qaZgnxUad83+eAg==",
+      "dev": true,
+      "license": "MIT OR Apache-2.0",
+      "engines": {
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+      "version": "1.20260430.1",
+      "resolved": "https://registry.npmjs.org/workerd/-/workerd-1.20260430.1.tgz",
+      "integrity": "sha512-KEgIWyiw3Jmn+DCd/L3ePo5fmiiYb/UcwKvDWPf/nLLOiwShDFzDSsegU5NY/JcwgvO/QsLHVi2FYrbkcXNY5Q==",
+      "dev": true,
+      "hasInstallScript": true,
+      "license": "Apache-2.0",
+      "bin": {
+        "workerd": "bin/workerd"
+      },
+      "engines": {
+        "node": ">=16"
+      },
+      "optionalDependencies": {
+        "@cloudflare/workerd-darwin-64": "1.20260430.1",
+        "@cloudflare/workerd-darwin-arm64": "1.20260430.1",
+        "@cloudflare/workerd-linux-64": "1.20260430.1",
+        "@cloudflare/workerd-linux-arm64": "1.20260430.1",
+        "@cloudflare/workerd-windows-64": "1.20260430.1"
+      }
+    },
+    "node_modules/wrangler": {
+      "version": "4.87.0",
+      "resolved": "https://registry.npmjs.org/wrangler/-/wrangler-4.87.0.tgz",
+      "integrity": "sha512-lfhfKwLfQlowwgV0xhlYgE9fU3n0I30d4ccGY/rTCEm/n42Mjvlr0Ng3ZPNqlsrsKBcDR531V7dsPkgELvrk/Q==",
+      "dev": true,
+      "license": "MIT OR Apache-2.0",
+      "dependencies": {
+        "@cloudflare/kv-asset-handler": "0.5.0",
+        "@cloudflare/unenv-preset": "2.16.1",
+        "blake3-wasm": "2.1.5",
+        "esbuild": "0.27.3",
+        "miniflare": "4.20260430.0",
+        "path-to-regexp": "6.3.0",
+        "unenv": "2.0.0-rc.24",
+        "workerd": "1.20260430.1"
+      },
+      "bin": {
+        "wrangler": "bin/wrangler.js",
+        "wrangler2": "bin/wrangler.js"
+      },
+      "engines": {
+        "node": ">=22.0.0"
+      },
+      "optionalDependencies": {
+        "fsevents": "~2.3.2"
+      },
+      "peerDependencies": {
+        "@cloudflare/workers-types": "^4.20260430.1"
+      },
+      "peerDependenciesMeta": {
+        "@cloudflare/workers-types": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/ws": {
+      "version": "8.18.0",
+      "resolved": "https://registry.npmjs.org/ws/-/ws-8.18.0.tgz",
+      "integrity": "sha512-8VbfWfHLbbwu3+N6OKsOMpBdT4kXPDDB9cJk2bJ6mh9ucxdlnNvH1e+roYkKmN9Nxw2yjz7VzeO9oOz2zJ04Pw==",
+      "dev": true,
+      "license": "MIT",
+      "engines": {
+        "node": ">=10.0.0"
+      },
+      "peerDependencies": {
+        "bufferutil": "^4.0.1",
+        "utf-8-validate": ">=5.0.2"
+      },
+      "peerDependenciesMeta": {
+        "bufferutil": {
+          "optional": true
+        },
+        "utf-8-validate": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/youch": {
+      "version": "4.1.0-beta.10",
+      "resolved": "https://registry.npmjs.org/youch/-/youch-4.1.0-beta.10.tgz",
+      "integrity": "sha512-rLfVLB4FgQneDr0dv1oddCVZmKjcJ6yX6mS4pU82Mq/Dt9a3cLZQ62pDBL4AUO+uVrCvtWz3ZFUL2HFAFJ/BXQ==",
+      "dev": true,
+      "license": "MIT",
+      "dependencies": {
+        "@poppinss/colors": "^4.1.5",
+        "@poppinss/dumper": "^0.6.4",
+        "@speed-highlight/core": "^1.2.7",
+        "cookie": "^1.0.2",
+        "youch-core": "^0.3.3"
+      }
+    },
+    "node_modules/youch-core": {
+      "version": "0.3.3",
+      "resolved": "https://registry.npmjs.org/youch-core/-/youch-core-0.3.3.tgz",
+      "integrity": "sha512-ho7XuGjLaJ2hWHoK8yFnsUGy2Y5uDpqSTq1FkHLK4/oqKtyUU1AFbOOxY4IpC9f0fTLjwYbslUz0Po5BpD1wrA==",
+      "dev": true,
+      "license": "MIT",
+      "dependencies": {
+        "@poppinss/exception": "^1.2.2",
+        "error-stack-parser-es": "^1.0.5"
+      }
+    }
+  }
+}
diff --git a/litellm-js/proxy/package.json b/litellm-js/proxy/package.json
index 275fd8c20d3..9fd94cd882f 100644
--- a/litellm-js/proxy/package.json
+++ b/litellm-js/proxy/package.json
@@ -4,11 +4,11 @@
     "deploy": "wrangler deploy --minify src/index.ts"
   },
   "dependencies": {
-    "hono": "4.12.12",
+    "hono": "4.12.16",
     "openai": "4.29.2"
   },
   "devDependencies": {
-    "@cloudflare/workers-types": "4.20240208.0",
-    "wrangler": "3.32.0"
+    "@cloudflare/workers-types": "4.20260501.1",
+    "wrangler": "4.87.0"
   }
 }
diff --git a/litellm-js/spend-logs/package-lock.json b/litellm-js/spend-logs/package-lock.json
index ce1762f4023..e9fc4b00f6a 100644
--- a/litellm-js/spend-logs/package-lock.json
+++ b/litellm-js/spend-logs/package-lock.json
@@ -6,7 +6,7 @@
     "": {
       "dependencies": {
         "@hono/node-server": "1.19.13",
-        "hono": "4.12.12"
+        "hono": "4.12.16"
       },
       "devDependencies": {
         "@types/node": "20.19.25",
@@ -548,9 +548,9 @@
       }
     },
     "node_modules/hono": {
-      "version": "4.12.12",
-      "resolved": "https://registry.npmjs.org/hono/-/hono-4.12.12.tgz",
-      "integrity": "sha512-p1JfQMKaceuCbpJKAPKVqyqviZdS0eUxH9v82oWo1kb9xjQ5wA6iP3FNVAPDFlz5/p7d45lO+BpSk1tuSZMF4Q==",
+      "version": "4.12.16",
+      "resolved": "https://registry.npmjs.org/hono/-/hono-4.12.16.tgz",
+      "integrity": "sha512-jN0ZewiNAWSe5khM3EyCmBb250+b40wWbwNILNfEvq84VREWwOIkuUsFONk/3i3nqkz7Oe1PcpM2mwQEK2L9Kg==",
       "license": "MIT",
       "engines": {
         "node": ">=16.9.0"
diff --git a/litellm-js/spend-logs/package.json b/litellm-js/spend-logs/package.json
index d8e6a895445..5a7a95c5de1 100644
--- a/litellm-js/spend-logs/package.json
+++ b/litellm-js/spend-logs/package.json
@@ -4,7 +4,7 @@
   },
   "dependencies": {
     "@hono/node-server": "1.19.13",
-    "hono": "4.12.12"
+    "hono": "4.12.16"
   },
   "devDependencies": {
     "@types/node": "20.19.25",
diff --git a/litellm-proxy-extras/litellm_proxy_extras/migrations/20260501195714_managed_resource_team_owner/migration.sql b/litellm-proxy-extras/litellm_proxy_extras/migrations/20260501195714_managed_resource_team_owner/migration.sql
new file mode 100644
index 00000000000..d6f236959be
--- /dev/null
+++ b/litellm-proxy-extras/litellm_proxy_extras/migrations/20260501195714_managed_resource_team_owner/migration.sql
@@ -0,0 +1,20 @@
+-- Adds `team_id` to managed-resource tables so service-account API
+-- keys (no `user_id`) can be scoped by team instead of bypassing the
+-- `created_by` filter entirely. Existing rows keep `team_id = NULL`
+-- and become invisible to team-only callers — that is the intended isolation
+-- outcome; backfill manually if legacy rows must remain visible.
+--
+-- The composite indexes match the listing query: filter by team owner, sort by
+-- created_at DESC. Tables are typically small (resources per tenant, not per
+-- request); a future operator with a large table can switch to
+-- CREATE INDEX CONCURRENTLY in a follow-up migration.
+
+ALTER TABLE "LiteLLM_ManagedFileTable" ADD COLUMN IF NOT EXISTS "team_id" TEXT;
+ALTER TABLE "LiteLLM_ManagedObjectTable" ADD COLUMN IF NOT EXISTS "team_id" TEXT;
+ALTER TABLE "LiteLLM_ManagedVectorStoreTable" ADD COLUMN IF NOT EXISTS "team_id" TEXT;
+
+-- Index names follow Prisma's auto-generated convention so `prisma migrate diff`
+-- against the schema is clean.
+CREATE INDEX IF NOT EXISTS "LiteLLM_ManagedFileTable_team_id_created_at_idx" ON "LiteLLM_ManagedFileTable" ("team_id", "created_at" DESC);
+CREATE INDEX IF NOT EXISTS "LiteLLM_ManagedObjectTable_team_id_created_at_idx" ON "LiteLLM_ManagedObjectTable" ("team_id", "created_at" DESC);
+CREATE INDEX IF NOT EXISTS "LiteLLM_ManagedVectorStoreTable_team_id_created_at_idx" ON "LiteLLM_ManagedVectorStoreTable" ("team_id", "created_at" DESC);
diff --git a/litellm-proxy-extras/litellm_proxy_extras/schema.prisma b/litellm-proxy-extras/litellm_proxy_extras/schema.prisma
index a9d3911c07b..84ce99557e3 100644
--- a/litellm-proxy-extras/litellm_proxy_extras/schema.prisma
+++ b/litellm-proxy-extras/litellm_proxy_extras/schema.prisma
@@ -884,28 +884,32 @@ model LiteLLM_ManagedFileTable {
   storage_backend String? // Storage backend name (e.g., "azure_storage", "gcs", "default")
   storage_url String? // The actual storage URL where the file is stored
   created_at DateTime @default(now())
-  created_by String? 
+  created_by String?
+  team_id String? // Team that owns the resource; populated for service-account keys without a user_id so listings can isolate by team.
   updated_at DateTime @updatedAt
   updated_by String?
 
   @@index([unified_file_id])
+  @@index([team_id, created_at(sort: Desc)])
 }
 
-model LiteLLM_ManagedObjectTable { // for batches or finetuning jobs which use the 
+model LiteLLM_ManagedObjectTable { // for batches or finetuning jobs which use the
   id String @id @default(uuid())
   unified_object_id String @unique // The base64 encoded unified file ID
-  model_object_id String @unique // the id returned by the backend API provider 
+  model_object_id String @unique // the id returned by the backend API provider
   file_object Json // Stores the OpenAIFileObject
   file_purpose String // either 'batch' or 'fine-tune'
-  status String? // check if batch cost has been tracked  
+  status String? // check if batch cost has been tracked
   batch_processed Boolean @default(false) // set to true by CheckBatchCost after cost is computed
   created_at DateTime @default(now())
   created_by String?
+  team_id String?
   updated_at DateTime @updatedAt
-  updated_by String? 
+  updated_by String?
 
   @@index([unified_object_id])
   @@index([model_object_id])
+  @@index([team_id, created_at(sort: Desc)])
 }
 
 model LiteLLM_ManagedVectorStoreTable {
@@ -918,10 +922,12 @@ model LiteLLM_ManagedVectorStoreTable {
   storage_url String? // Storage URL (if applicable)
   created_at DateTime @default(now())
   created_by String?
+  team_id String?
   updated_at DateTime @updatedAt
   updated_by String?
 
   @@index([unified_resource_id])
+  @@index([team_id, created_at(sort: Desc)])
 }
 
 model LiteLLM_ManagedVectorStoresTable {
diff --git a/litellm-proxy-extras/pyproject.toml b/litellm-proxy-extras/pyproject.toml
index b8710da3438..1a5a9b0065e 100644
--- a/litellm-proxy-extras/pyproject.toml
+++ b/litellm-proxy-extras/pyproject.toml
@@ -16,7 +16,7 @@ Repository = "https://github.com/BerriAI/litellm"
 Documentation = "https://docs.litellm.ai"
 
 [build-system]
-requires = ["uv_build==0.10.7"]
+requires = ["uv_build==0.11.8"]
 build-backend = "uv_build"
 
 [tool.uv]
diff --git a/litellm/__init__.py b/litellm/__init__.py
index 28112f5c12a..5305edc9be6 100644
--- a/litellm/__init__.py
+++ b/litellm/__init__.py
@@ -166,7 +166,7 @@ langfuse_default_tags: Optional[List[str]] = None
 langsmith_batch_size: Optional[int] = None
 prometheus_initialize_budget_metrics: Optional[bool] = False
 prometheus_latency_buckets: Optional[List[float]] = None
-require_auth_for_metrics_endpoint: Optional[bool] = False
+require_auth_for_metrics_endpoint: Optional[bool] = True
 argilla_batch_size: Optional[int] = None
 datadog_use_v1: Optional[bool] = False  # if you want to use v1 datadog logged payload.
 gcs_pub_sub_use_v1: Optional[bool] = (
@@ -280,6 +280,7 @@ ssl_security_level: Optional[str] = None
 ssl_certificate: Optional[str] = None
 user_url_validation: bool = True
 user_url_allowed_hosts: List[str] = []
+provider_url_destination_allowed_hosts: List[str] = []
 ssl_ecdh_curve: Optional[str] = (
     None  # Set to 'X25519' to disable PQC and improve performance
 )
diff --git a/litellm/anthropic_beta_headers_config.json b/litellm/anthropic_beta_headers_config.json
index 662b62cf205..d02afe37569 100644
--- a/litellm/anthropic_beta_headers_config.json
+++ b/litellm/anthropic_beta_headers_config.json
@@ -72,7 +72,7 @@
     "computer-use-2025-11-24": "computer-use-2025-11-24",
     "context-1m-2025-08-07": "context-1m-2025-08-07",
     "context-management-2025-06-27": null,
-    "effort-2025-11-24": null,
+    "effort-2025-11-24": "effort-2025-11-24",
     "fast-mode-2026-02-01": null,
     "files-api-2025-04-14": null,
     "fine-grained-tool-streaming-2025-05-14": null,
@@ -103,7 +103,7 @@
     "computer-use-2025-11-24": "computer-use-2025-11-24",
     "context-1m-2025-08-07": "context-1m-2025-08-07",
     "context-management-2025-06-27": null,
-    "effort-2025-11-24": null,
+    "effort-2025-11-24": "effort-2025-11-24",
     "fast-mode-2026-02-01": null,
     "files-api-2025-04-14": null,
     "fine-grained-tool-streaming-2025-05-14": null,
diff --git a/litellm/caching/qdrant_semantic_cache.py b/litellm/caching/qdrant_semantic_cache.py
index 5e3713e5a15..cb521efca05 100644
--- a/litellm/caching/qdrant_semantic_cache.py
+++ b/litellm/caching/qdrant_semantic_cache.py
@@ -11,17 +11,23 @@ Has 4 methods:
 import ast
 import asyncio
 import json
-from typing import Any, cast
+import os
+from typing import Any, Dict, cast
 
 import litellm
 from litellm._logging import print_verbose
 from litellm.constants import QDRANT_SCALAR_QUANTILE, QDRANT_VECTOR_SIZE
+from litellm.litellm_core_utils.prompt_templates.common_utils import (
+    get_str_from_messages,
+)
 from litellm.types.utils import EmbeddingResponse
 
 from .base_cache import BaseCache
 
 
 class QdrantSemanticCache(BaseCache):
+    CACHE_KEY_FIELD_NAME = "litellm_cache_key"
+
     def __init__(  # noqa: PLR0915
         self,
         qdrant_api_base=None,
@@ -33,8 +39,6 @@ class QdrantSemanticCache(BaseCache):
         host_type=None,
         vector_size=None,
     ):
-        import os
-
         from litellm.llms.custom_httpx.http_handler import (
             _get_httpx_client,
             get_async_httpx_client,
@@ -115,7 +119,9 @@ class QdrantSemanticCache(BaseCache):
             print_verbose(
                 f"Collection already exists.\nCollection details:{self.collection_info}"
             )
+            self._ensure_cache_key_payload_index()
         else:
+            quantization_params: Dict[str, Any]
             if quantization_config is None or quantization_config == "binary":
                 quantization_params = {
                     "binary": {
@@ -156,6 +162,7 @@ class QdrantSemanticCache(BaseCache):
                 print_verbose(
                     f"New collection created.\nCollection details:{self.collection_info}"
                 )
+                self._ensure_cache_key_payload_index()
             else:
                 raise Exception("Error while creating new collection")
 
@@ -170,15 +177,94 @@ class QdrantSemanticCache(BaseCache):
             cached_response = ast.literal_eval(cached_response)
         return cached_response
 
+    def _get_qdrant_cache_key_filter(self, key: str) -> dict:
+        return {
+            "must": [
+                {
+                    "key": self.CACHE_KEY_FIELD_NAME,
+                    "match": {"value": str(key)},
+                }
+            ]
+        }
+
+    def _add_cache_key_filter_to_search_data(self, data: dict, key: str) -> None:
+        data["filter"] = self._get_qdrant_cache_key_filter(key)
+
+    def _ensure_cache_key_payload_index(self) -> None:
+        try:
+            response = self.sync_client.put(
+                url=f"{self.qdrant_api_base}/collections/{self.collection_name}/index",
+                headers=self.headers,
+                json={
+                    "field_name": self.CACHE_KEY_FIELD_NAME,
+                    "field_schema": "keyword",
+                },
+            )
+            if response.status_code not in (200, 201):
+                print_verbose(
+                    "Qdrant semantic-cache could not create cache-key payload index: "
+                    f"{response.text}"
+                )
+        except Exception as exc:
+            print_verbose(
+                "Qdrant semantic-cache could not create cache-key payload index: "
+                f"{str(exc)}"
+            )
+
+    def _payload_matches_cache_key(self, payload: dict, key: str) -> bool:
+        # Pre-isolation points stored only prompt + response with no cache-key
+        # payload field. Reassigning them to a caller's key would risk
+        # cross-scope hits, so they're treated as misses and re-populated on
+        # the next set_cache.
+        cached_key = payload.get(self.CACHE_KEY_FIELD_NAME)
+        return cached_key is not None and str(cached_key) == str(key)
+
+    async def _get_async_embedding(self, prompt: str, **kwargs) -> Any:
+        llm_model_list = None
+        llm_router = None
+
+        try:
+            from litellm.proxy.proxy_server import (
+                llm_model_list as proxy_llm_model_list,
+                llm_router as proxy_llm_router,
+            )
+
+            llm_model_list = proxy_llm_model_list
+            llm_router = proxy_llm_router
+        except ImportError:
+            pass
+
+        router_model_names = (
+            [m["model_name"] for m in llm_model_list]
+            if llm_model_list is not None
+            else []
+        )
+        if llm_router is not None and self.embedding_model in router_model_names:
+            user_api_key = kwargs.get("metadata", {}).get("user_api_key", "")
+            return await llm_router.aembedding(
+                model=self.embedding_model,
+                input=prompt,
+                cache={"no-store": True, "no-cache": True},
+                metadata={
+                    "user_api_key": user_api_key,
+                    "semantic-cache-embedding": True,
+                    "trace_id": kwargs.get("metadata", {}).get("trace_id", None),
+                },
+            )
+
+        return await litellm.aembedding(
+            model=self.embedding_model,
+            input=prompt,
+            cache={"no-store": True, "no-cache": True},
+        )
+
     def set_cache(self, key, value, **kwargs):
         print_verbose(f"qdrant semantic-cache set_cache, kwargs: {kwargs}")
         from litellm._uuid import uuid
 
         # get the prompt
         messages = kwargs["messages"]
-        prompt = ""
-        for message in messages:
-            prompt += message["content"]
+        prompt = get_str_from_messages(messages)
 
         # create an embedding for prompt
         embedding_response = cast(
@@ -202,6 +288,7 @@ class QdrantSemanticCache(BaseCache):
                     "id": str(uuid.uuid4()),
                     "vector": embedding,
                     "payload": {
+                        self.CACHE_KEY_FIELD_NAME: str(key),
                         "text": prompt,
                         "response": value,
                     },
@@ -220,9 +307,7 @@ class QdrantSemanticCache(BaseCache):
 
         # get the messages
         messages = kwargs["messages"]
-        prompt = ""
-        for message in messages:
-            prompt += message["content"]
+        prompt = get_str_from_messages(messages)
 
         # convert to embedding
         embedding_response = cast(
@@ -249,6 +334,7 @@ class QdrantSemanticCache(BaseCache):
             "limit": 1,
             "with_payload": True,
         }
+        self._add_cache_key_filter_to_search_data(data=data, key=key)
 
         search_response = self.sync_client.post(
             url=f"{self.qdrant_api_base}/collections/{self.collection_name}/points/search",
@@ -258,21 +344,33 @@ class QdrantSemanticCache(BaseCache):
         results = search_response.json()["result"]
 
         if results is None:
+            kwargs.setdefault("metadata", {})["semantic-similarity"] = 0.0
             return None
         if isinstance(results, list):
             if len(results) == 0:
+                kwargs.setdefault("metadata", {})["semantic-similarity"] = 0.0
                 return None
 
         similarity = results[0]["score"]
-        cached_prompt = results[0]["payload"]["text"]
+        payload = results[0]["payload"]
+        if not self._payload_matches_cache_key(payload=payload, key=key):
+            print_verbose("Qdrant semantic-cache hit did not match cache key scope")
+            kwargs.setdefault("metadata", {})["semantic-similarity"] = 0.0
+            return None
+
+        cached_prompt = payload["text"]
 
         # check similarity, if more than self.similarity_threshold, return results
         print_verbose(
             f"semantic cache: similarity threshold: {self.similarity_threshold}, similarity: {similarity}, prompt: {prompt}, closest_cached_prompt: {cached_prompt}"
         )
+
+        # update kwargs["metadata"] with similarity, don't rewrite the original metadata
+        kwargs.setdefault("metadata", {})["semantic-similarity"] = similarity
+
         if similarity >= self.similarity_threshold:
             # cache hit !
-            cached_value = results[0]["payload"]["response"]
+            cached_value = payload["response"]
             print_verbose(
                 f"got a cache hit, similarity: {similarity}, Current prompt: {prompt}, cached_prompt: {cached_prompt}"
             )
@@ -285,40 +383,12 @@ class QdrantSemanticCache(BaseCache):
     async def async_set_cache(self, key, value, **kwargs):
         from litellm._uuid import uuid
 
-        from litellm.proxy.proxy_server import llm_model_list, llm_router
-
         print_verbose(f"async qdrant semantic-cache set_cache, kwargs: {kwargs}")
 
         # get the prompt
         messages = kwargs["messages"]
-        prompt = ""
-        for message in messages:
-            prompt += message["content"]
-        # create an embedding for prompt
-        router_model_names = (
-            [m["model_name"] for m in llm_model_list]
-            if llm_model_list is not None
-            else []
-        )
-        if llm_router is not None and self.embedding_model in router_model_names:
-            user_api_key = kwargs.get("metadata", {}).get("user_api_key", "")
-            embedding_response = await llm_router.aembedding(
-                model=self.embedding_model,
-                input=prompt,
-                cache={"no-store": True, "no-cache": True},
-                metadata={
-                    "user_api_key": user_api_key,
-                    "semantic-cache-embedding": True,
-                    "trace_id": kwargs.get("metadata", {}).get("trace_id", None),
-                },
-            )
-        else:
-            # convert to embedding
-            embedding_response = await litellm.aembedding(
-                model=self.embedding_model,
-                input=prompt,
-                cache={"no-store": True, "no-cache": True},
-            )
+        prompt = get_str_from_messages(messages)
+        embedding_response = await self._get_async_embedding(prompt, **kwargs)
 
         # get the embedding
         embedding = embedding_response["data"][0]["embedding"]
@@ -332,6 +402,7 @@ class QdrantSemanticCache(BaseCache):
                     "id": str(uuid.uuid4()),
                     "vector": embedding,
                     "payload": {
+                        self.CACHE_KEY_FIELD_NAME: str(key),
                         "text": prompt,
                         "response": value,
                     },
@@ -348,38 +419,12 @@ class QdrantSemanticCache(BaseCache):
 
     async def async_get_cache(self, key, **kwargs):
         print_verbose(f"async qdrant semantic-cache get_cache, kwargs: {kwargs}")
-        from litellm.proxy.proxy_server import llm_model_list, llm_router
 
         # get the messages
         messages = kwargs["messages"]
-        prompt = ""
-        for message in messages:
-            prompt += message["content"]
+        prompt = get_str_from_messages(messages)
 
-        router_model_names = (
-            [m["model_name"] for m in llm_model_list]
-            if llm_model_list is not None
-            else []
-        )
-        if llm_router is not None and self.embedding_model in router_model_names:
-            user_api_key = kwargs.get("metadata", {}).get("user_api_key", "")
-            embedding_response = await llm_router.aembedding(
-                model=self.embedding_model,
-                input=prompt,
-                cache={"no-store": True, "no-cache": True},
-                metadata={
-                    "user_api_key": user_api_key,
-                    "semantic-cache-embedding": True,
-                    "trace_id": kwargs.get("metadata", {}).get("trace_id", None),
-                },
-            )
-        else:
-            # convert to embedding
-            embedding_response = await litellm.aembedding(
-                model=self.embedding_model,
-                input=prompt,
-                cache={"no-store": True, "no-cache": True},
-            )
+        embedding_response = await self._get_async_embedding(prompt, **kwargs)
 
         # get the embedding
         embedding = embedding_response["data"][0]["embedding"]
@@ -396,6 +441,7 @@ class QdrantSemanticCache(BaseCache):
             "limit": 1,
             "with_payload": True,
         }
+        self._add_cache_key_filter_to_search_data(data=data, key=key)
 
         search_response = await self.async_client.post(
             url=f"{self.qdrant_api_base}/collections/{self.collection_name}/points/search",
@@ -414,7 +460,13 @@ class QdrantSemanticCache(BaseCache):
                 return None
 
         similarity = results[0]["score"]
-        cached_prompt = results[0]["payload"]["text"]
+        payload = results[0]["payload"]
+        if not self._payload_matches_cache_key(payload=payload, key=key):
+            print_verbose("Qdrant semantic-cache hit did not match cache key scope")
+            kwargs.setdefault("metadata", {})["semantic-similarity"] = 0.0
+            return None
+
+        cached_prompt = payload["text"]
 
         # check similarity, if more than self.similarity_threshold, return results
         print_verbose(
@@ -426,7 +478,7 @@ class QdrantSemanticCache(BaseCache):
 
         if similarity >= self.similarity_threshold:
             # cache hit !
-            cached_value = results[0]["payload"]["response"]
+            cached_value = payload["response"]
             print_verbose(
                 f"got a cache hit, similarity: {similarity}, Current prompt: {prompt}, cached_prompt: {cached_prompt}"
             )
diff --git a/litellm/caching/redis_semantic_cache.py b/litellm/caching/redis_semantic_cache.py
index c76f27377d8..da9e7b1e587 100644
--- a/litellm/caching/redis_semantic_cache.py
+++ b/litellm/caching/redis_semantic_cache.py
@@ -35,6 +35,7 @@ class RedisSemanticCache(BaseCache):
     """
 
     DEFAULT_REDIS_INDEX_NAME: str = "litellm_semantic_cache_index"
+    CACHE_KEY_FIELD_NAME: str = "litellm_cache_key"
 
     def __init__(
         self,
@@ -66,8 +67,8 @@ class RedisSemanticCache(BaseCache):
             Exception: If similarity_threshold is not provided or required Redis
                 connection information is missing
         """
-        from redisvl.extensions.llmcache import SemanticCache
-        from redisvl.utils.vectorize import CustomTextVectorizer
+        from redisvl.extensions.llmcache import SemanticCache  # type: ignore[import-not-found, import-untyped]
+        from redisvl.utils.vectorize import CustomTextVectorizer  # type: ignore[import-not-found, import-untyped]
 
         if index_name is None:
             index_name = self.DEFAULT_REDIS_INDEX_NAME
@@ -109,14 +110,94 @@ class RedisSemanticCache(BaseCache):
         # Initialize the Redis vectorizer and cache
         cache_vectorizer = CustomTextVectorizer(self._get_embedding)
 
-        self.llmcache = SemanticCache(
-            name=index_name,
+        self.llmcache = self._init_semantic_cache(
+            semantic_cache_cls=SemanticCache,
+            index_name=index_name,
             redis_url=redis_url,
-            vectorizer=cache_vectorizer,
-            distance_threshold=self.distance_threshold,
-            overwrite=False,
+            cache_vectorizer=cache_vectorizer,
         )
 
+    @classmethod
+    def _cache_key_filterable_field(cls) -> Dict[str, str]:
+        return {
+            "name": cls.CACHE_KEY_FIELD_NAME,
+            "type": "tag",
+        }
+
+    def _init_semantic_cache(
+        self,
+        semantic_cache_cls: Any,
+        index_name: str,
+        redis_url: str,
+        cache_vectorizer: Any,
+    ) -> Any:
+        def _is_schema_mismatch(exc: ValueError) -> bool:
+            error_message = str(exc).lower()
+            return any(
+                phrase in error_message
+                for phrase in ("schema does not match", "index schema")
+            )
+
+        try:
+            return semantic_cache_cls(
+                name=index_name,
+                redis_url=redis_url,
+                vectorizer=cache_vectorizer,
+                distance_threshold=self.distance_threshold,
+                filterable_fields=[self._cache_key_filterable_field()],
+                overwrite=False,
+            )
+        except ValueError as exc:
+            if not _is_schema_mismatch(exc):
+                raise
+
+            isolated_index_name = f"{index_name}_isolated"
+            print_verbose(
+                "Redis semantic-cache existing index schema is not isolated; "
+                f"using isolated index - {isolated_index_name}"
+            )
+            try:
+                return semantic_cache_cls(
+                    name=isolated_index_name,
+                    redis_url=redis_url,
+                    vectorizer=cache_vectorizer,
+                    distance_threshold=self.distance_threshold,
+                    filterable_fields=[self._cache_key_filterable_field()],
+                    overwrite=False,
+                )
+            except ValueError as isolated_exc:
+                if not _is_schema_mismatch(isolated_exc):
+                    raise
+
+                print_verbose(
+                    "Redis semantic-cache isolated index schema is stale; "
+                    f"recreating isolated index - {isolated_index_name}"
+                )
+                return semantic_cache_cls(
+                    name=isolated_index_name,
+                    redis_url=redis_url,
+                    vectorizer=cache_vectorizer,
+                    distance_threshold=self.distance_threshold,
+                    filterable_fields=[self._cache_key_filterable_field()],
+                    overwrite=True,
+                )
+
+    def _get_cache_filters(self, key: str) -> Dict[str, str]:
+        return {self.CACHE_KEY_FIELD_NAME: str(key)}
+
+    def _get_cache_key_filter_expression(self, key: str) -> Any:
+        from redisvl.query.filter import Tag  # type: ignore[import-not-found, import-untyped]
+
+        return Tag(self.CACHE_KEY_FIELD_NAME) == str(key)
+
+    def _cache_hit_matches_key(self, cache_hit: Dict[str, Any], key: str) -> bool:
+        # Pre-isolation entries with no ``litellm_cache_key`` field cannot be
+        # safely reassigned to a caller's scope and are treated as misses.
+        cached_key = cache_hit.get(self.CACHE_KEY_FIELD_NAME)
+        if isinstance(cached_key, bytes):
+            cached_key = cached_key.decode("utf-8")
+        return cached_key is not None and str(cached_key) == str(key)
+
     def _get_ttl(self, **kwargs) -> Optional[int]:
         """
         Get the TTL (time-to-live) value for cache entries.
@@ -188,7 +269,7 @@ class RedisSemanticCache(BaseCache):
         Store a value in the semantic cache.
 
         Args:
-            key: The cache key (not directly used in semantic caching)
+            key: The cache key used to isolate semantic cache entries
             value: The response value to cache
             **kwargs: Additional arguments including 'messages' for the prompt
                 and optional 'ttl' for time-to-live
@@ -206,12 +287,15 @@ class RedisSemanticCache(BaseCache):
             prompt = get_str_from_messages(messages)
             value_str = str(value)
 
+            store_kwargs: Dict[str, Any] = {
+                "filters": self._get_cache_filters(key),
+            }
+
             # Get TTL and store in Redis semantic cache
             ttl = self._get_ttl(**kwargs)
             if ttl is not None:
-                self.llmcache.store(prompt, value_str, ttl=int(ttl))
-            else:
-                self.llmcache.store(prompt, value_str)
+                store_kwargs["ttl"] = int(ttl)
+            self.llmcache.store(prompt, value_str, **store_kwargs)
         except Exception as e:
             print_verbose(
                 f"Error setting {value_str or value} in the Redis semantic cache: {str(e)}"
@@ -222,7 +306,7 @@ class RedisSemanticCache(BaseCache):
         Retrieve a semantically similar cached response.
 
         Args:
-            key: The cache key (not directly used in semantic caching)
+            key: The cache key used to isolate semantic cache entries
             **kwargs: Additional arguments including 'messages' for the prompt
 
         Returns:
@@ -235,18 +319,29 @@ class RedisSemanticCache(BaseCache):
             messages = kwargs.get("messages", [])
             if not messages:
                 print_verbose("No messages provided for semantic cache lookup")
+                kwargs.setdefault("metadata", {})["semantic-similarity"] = 0.0
                 return None
 
             prompt = get_str_from_messages(messages)
-            # Check the cache for semantically similar prompts
-            results = self.llmcache.check(prompt=prompt)
+            # Check the cache for semantically similar prompts in this exact
+            # LiteLLM cache-key scope.
+            check_kwargs: Dict[str, Any] = {
+                "prompt": prompt,
+                "filter_expression": self._get_cache_key_filter_expression(key),
+            }
+            results = self.llmcache.check(**check_kwargs)
 
             # Return None if no similar prompts found
             if not results:
+                kwargs.setdefault("metadata", {})["semantic-similarity"] = 0.0
                 return None
 
             # Process the best matching result
             cache_hit = results[0]
+            if not self._cache_hit_matches_key(cache_hit=cache_hit, key=key):
+                print_verbose("Redis semantic-cache hit did not match cache key scope")
+                kwargs.setdefault("metadata", {})["semantic-similarity"] = 0.0
+                return None
             vector_distance = float(cache_hit["vector_distance"])
 
             # Convert vector distance back to similarity score
@@ -257,6 +352,9 @@ class RedisSemanticCache(BaseCache):
             cached_prompt = cache_hit["prompt"]
             cached_response = cache_hit["response"]
 
+            # update kwargs["metadata"] with similarity, don't rewrite the original metadata
+            kwargs.setdefault("metadata", {})["semantic-similarity"] = similarity
+
             print_verbose(
                 f"Cache hit: similarity threshold: {self.similarity_threshold}, "
                 f"actual similarity: {similarity}, "
@@ -267,6 +365,7 @@ class RedisSemanticCache(BaseCache):
             return self._get_cache_logic(cached_response=cached_response)
         except Exception as e:
             print_verbose(f"Error retrieving from Redis semantic cache: {str(e)}")
+            kwargs.setdefault("metadata", {})["semantic-similarity"] = 0.0
 
     async def _get_async_embedding(self, prompt: str, **kwargs) -> List[float]:
         """
@@ -321,7 +420,7 @@ class RedisSemanticCache(BaseCache):
         Asynchronously store a value in the semantic cache.
 
         Args:
-            key: The cache key (not directly used in semantic caching)
+            key: The cache key used to isolate semantic cache entries
             value: The response value to cache
             **kwargs: Additional arguments including 'messages' for the prompt
                 and optional 'ttl' for time-to-live
@@ -341,21 +440,20 @@ class RedisSemanticCache(BaseCache):
             # Generate embedding for the value (response) to cache
             prompt_embedding = await self._get_async_embedding(prompt, **kwargs)
 
+            store_kwargs: Dict[str, Any] = {
+                "vector": prompt_embedding,
+                "filters": self._get_cache_filters(key),
+            }
+
             # Get TTL and store in Redis semantic cache
             ttl = self._get_ttl(**kwargs)
             if ttl is not None:
-                await self.llmcache.astore(
-                    prompt,
-                    value_str,
-                    vector=prompt_embedding,  # Pass through custom embedding
-                    ttl=ttl,
-                )
-            else:
-                await self.llmcache.astore(
-                    prompt,
-                    value_str,
-                    vector=prompt_embedding,  # Pass through custom embedding
-                )
+                store_kwargs["ttl"] = ttl
+            await self.llmcache.astore(
+                prompt,
+                value_str,
+                **store_kwargs,
+            )
         except Exception as e:
             print_verbose(f"Error in async_set_cache: {str(e)}")
 
@@ -364,7 +462,7 @@ class RedisSemanticCache(BaseCache):
         Asynchronously retrieve a semantically similar cached response.
 
         Args:
-            key: The cache key (not directly used in semantic caching)
+            key: The cache key used to isolate semantic cache entries
             **kwargs: Additional arguments including 'messages' for the prompt
 
         Returns:
@@ -385,17 +483,25 @@ class RedisSemanticCache(BaseCache):
             # Generate embedding for the prompt
             prompt_embedding = await self._get_async_embedding(prompt, **kwargs)
 
-            # Check the cache for semantically similar prompts
-            results = await self.llmcache.acheck(prompt=prompt, vector=prompt_embedding)
+            # Check the cache for semantically similar prompts in this exact
+            # LiteLLM cache-key scope.
+            check_kwargs: Dict[str, Any] = {
+                "prompt": prompt,
+                "vector": prompt_embedding,
+                "filter_expression": self._get_cache_key_filter_expression(key),
+            }
+            results = await self.llmcache.acheck(**check_kwargs)
 
             # handle results / cache hit
             if not results:
-                kwargs.setdefault("metadata", {})[
-                    "semantic-similarity"
-                ] = 0.0  # TODO why here but not above??
+                kwargs.setdefault("metadata", {})["semantic-similarity"] = 0.0
                 return None
 
             cache_hit = results[0]
+            if not self._cache_hit_matches_key(cache_hit=cache_hit, key=key):
+                print_verbose("Redis semantic-cache hit did not match cache key scope")
+                kwargs.setdefault("metadata", {})["semantic-similarity"] = 0.0
+                return None
             vector_distance = float(cache_hit["vector_distance"])
 
             # Convert vector distance back to similarity
diff --git a/litellm/constants.py b/litellm/constants.py
index 334ef8d48a4..6918e40cad1 100644
--- a/litellm/constants.py
+++ b/litellm/constants.py
@@ -202,6 +202,12 @@ DEFAULT_REASONING_EFFORT_MEDIUM_THINKING_BUDGET = int(
 DEFAULT_REASONING_EFFORT_HIGH_THINKING_BUDGET = int(
     os.getenv("DEFAULT_REASONING_EFFORT_HIGH_THINKING_BUDGET", 4096)
 )
+DEFAULT_REASONING_EFFORT_XHIGH_THINKING_BUDGET = int(
+    os.getenv("DEFAULT_REASONING_EFFORT_XHIGH_THINKING_BUDGET", 8192)
+)
+DEFAULT_REASONING_EFFORT_MAX_THINKING_BUDGET = int(
+    os.getenv("DEFAULT_REASONING_EFFORT_MAX_THINKING_BUDGET", 16384)
+)
 MAX_TOKEN_TRIMMING_ATTEMPTS = int(
     os.getenv("MAX_TOKEN_TRIMMING_ATTEMPTS", 10)
 )  # Maximum number of attempts to trim the message
@@ -399,6 +405,8 @@ BEDROCK_MAX_POLICY_SIZE = int(os.getenv("BEDROCK_MAX_POLICY_SIZE", 75))
 BEDROCK_MIN_THINKING_BUDGET_TOKENS = int(
     os.getenv("BEDROCK_MIN_THINKING_BUDGET_TOKENS", 1024)
 )
+# Anthropic's Messages API rejects thinking.budget_tokens < 1024.
+ANTHROPIC_MIN_THINKING_BUDGET_TOKENS = 1024
 REPLICATE_POLLING_DELAY_SECONDS = float(
     os.getenv("REPLICATE_POLLING_DELAY_SECONDS", 0.5)
 )
diff --git a/litellm/files/main.py b/litellm/files/main.py
index ceccba8d800..669d50dde41 100644
--- a/litellm/files/main.py
+++ b/litellm/files/main.py
@@ -10,6 +10,7 @@ import contextvars
 import time
 import uuid as uuid_module
 from functools import partial
+from types import MappingProxyType
 from typing import Any, Coroutine, Dict, Literal, Optional, Union, cast
 
 import httpx
@@ -85,6 +86,16 @@ bedrock_files_instance = BedrockFilesHandler()
 #################################################
 
 
+def _add_trusted_model_credentials_to_litellm_params(
+    litellm_params_dict: Dict[str, Any], kwargs: Dict[str, Any]
+) -> None:
+    trusted_model_credentials = kwargs.get("_litellm_internal_model_credentials")
+    if isinstance(trusted_model_credentials, type(MappingProxyType({}))):
+        litellm_params_dict["_litellm_internal_model_credentials"] = (
+            trusted_model_credentials
+        )
+
+
 @client
 async def acreate_file(
     file: FileTypes,
@@ -373,6 +384,10 @@ def file_retrieve(
             )
             if provider_config is not None:
                 litellm_params_dict = get_litellm_params(**kwargs)
+                _add_trusted_model_credentials_to_litellm_params(
+                    litellm_params_dict=litellm_params_dict,
+                    kwargs=kwargs,
+                )
                 litellm_params_dict["api_key"] = optional_params.api_key
                 litellm_params_dict["api_base"] = optional_params.api_base
 
@@ -497,6 +512,10 @@ def file_delete(
             pass
         optional_params = GenericLiteLLMParams(**kwargs)
         litellm_params_dict = get_litellm_params(**kwargs)
+        _add_trusted_model_credentials_to_litellm_params(
+            litellm_params_dict=litellm_params_dict,
+            kwargs=kwargs,
+        )
         ### TIMEOUT LOGIC ###
         timeout = optional_params.timeout or kwargs.get("request_timeout", 600) or 600
         # set timeout for 10 minutes by default
@@ -846,6 +865,10 @@ def file_content(
     try:
         optional_params = GenericLiteLLMParams(**kwargs)
         litellm_params_dict = get_litellm_params(**kwargs)
+        _add_trusted_model_credentials_to_litellm_params(
+            litellm_params_dict=litellm_params_dict,
+            kwargs=kwargs,
+        )
         ### TIMEOUT LOGIC ###
         timeout = optional_params.timeout or kwargs.get("request_timeout", 600) or 600
         client = kwargs.get("client")
@@ -993,6 +1016,7 @@ def file_content(
                 vertex_location=vertex_ai_location,
                 timeout=timeout,
                 max_retries=optional_params.max_retries,
+                litellm_params=litellm_params_dict,
             )
         elif custom_llm_provider == "bedrock":
             response = bedrock_files_instance.file_content(
diff --git a/litellm/integrations/arize/arize_phoenix_prompt_manager.py b/litellm/integrations/arize/arize_phoenix_prompt_manager.py
index 19af0bb9552..df56d7bd391 100644
--- a/litellm/integrations/arize/arize_phoenix_prompt_manager.py
+++ b/litellm/integrations/arize/arize_phoenix_prompt_manager.py
@@ -5,7 +5,8 @@ Fetches prompt versions from Arize Phoenix and provides workspace-based access c
 
 from typing import Any, Dict, List, Optional, Tuple, Union
 
-from jinja2 import DictLoader, Environment, select_autoescape
+from jinja2 import DictLoader, select_autoescape
+from jinja2.sandbox import ImmutableSandboxedEnvironment
 
 from litellm.integrations.custom_prompt_management import CustomPromptManagement
 from litellm.integrations.prompt_management_base import (
@@ -74,7 +75,13 @@ class ArizePhoenixTemplateManager:
             api_key=self.api_key, api_base=self.api_base
         )
 
-        self.jinja_env = Environment(
+        # Templates fetched from Arize Phoenix come from external workspace
+        # users; in a plain `Environment()` a malicious template could reach
+        # `__class__.__init__.__globals__` and execute arbitrary code on the
+        # proxy host. The sandbox blocks that attribute traversal while
+        # leaving normal `{{ var }}` substitution intact. Matches the
+        # dotprompt manager's hardening.
+        self.jinja_env = ImmutableSandboxedEnvironment(
             loader=DictLoader({}),
             autoescape=select_autoescape(["html", "xml"]),
             # Use Mustache/Handlebars-style delimiters
diff --git a/litellm/integrations/bitbucket/bitbucket_prompt_manager.py b/litellm/integrations/bitbucket/bitbucket_prompt_manager.py
index 701f2273640..844fa9f38cb 100644
--- a/litellm/integrations/bitbucket/bitbucket_prompt_manager.py
+++ b/litellm/integrations/bitbucket/bitbucket_prompt_manager.py
@@ -5,7 +5,8 @@ Fetches .prompt files from BitBucket repositories and provides team-based access
 
 from typing import TYPE_CHECKING, Any, Dict, List, Optional, Tuple, Union
 
-from jinja2 import DictLoader, Environment, select_autoescape
+from jinja2 import DictLoader, select_autoescape
+from jinja2.sandbox import ImmutableSandboxedEnvironment
 
 from litellm.integrations.custom_prompt_management import CustomPromptManagement
 
@@ -74,7 +75,13 @@ class BitBucketTemplateManager:
         self.prompts: Dict[str, BitBucketPromptTemplate] = {}
         self.bitbucket_client = BitBucketClient(bitbucket_config)
 
-        self.jinja_env = Environment(
+        # Templates fetched from a BitBucket repo are not trustworthy:
+        # anyone with repo write access can ship Jinja syntax that, in a
+        # plain `Environment()`, would reach `__class__.__init__.__globals__`
+        # and pivot into RCE on the proxy host. The sandbox blocks that
+        # attribute traversal while leaving normal `{{ var }}` substitution
+        # intact. Matches the dotprompt manager's hardening.
+        self.jinja_env = ImmutableSandboxedEnvironment(
             loader=DictLoader({}),
             autoescape=select_autoescape(["html", "xml"]),
             # Use Handlebars-style delimiters to match Dotprompt spec
diff --git a/litellm/integrations/gcs_bucket/gcs_bucket.py b/litellm/integrations/gcs_bucket/gcs_bucket.py
index 65296bafcf3..90057984235 100644
--- a/litellm/integrations/gcs_bucket/gcs_bucket.py
+++ b/litellm/integrations/gcs_bucket/gcs_bucket.py
@@ -6,12 +6,14 @@ import time
 from litellm._uuid import uuid
 from datetime import datetime, timedelta, timezone
 from typing import TYPE_CHECKING, Any, Dict, List, Optional, Tuple
-from urllib.parse import quote
 
 from litellm._logging import verbose_logger
 from litellm.constants import LITELLM_ASYNCIO_QUEUE_MAXSIZE
 from litellm.integrations.additional_logging_utils import AdditionalLoggingUtils
 from litellm.integrations.gcs_bucket.gcs_bucket_base import GCSBucketBase
+from litellm.litellm_core_utils.cloud_storage_security import (
+    sanitize_cloud_object_component,
+)
 from litellm.proxy._types import CommonProxyErrors
 from litellm.types.integrations.base_health_check import IntegrationHealthCheckStatus
 from litellm.types.integrations.gcs_bucket import *
@@ -335,7 +337,11 @@ class GCSBucketLogger(GCSBucketBase, AdditionalLoggingUtils):
         _litellm_params = kwargs.get("litellm_params", None) or {}
         _metadata = _litellm_params.get("metadata", None) or {}
         if "gcs_log_id" in _metadata:
-            object_name = _metadata["gcs_log_id"]
+            safe_log_id = sanitize_cloud_object_component(
+                _metadata.get("gcs_log_id"), fallback=""
+            )
+            if safe_log_id:
+                object_name = f"{current_date}/custom-{uuid.uuid4().hex}-{safe_log_id}"
 
         return object_name
 
@@ -367,8 +373,7 @@ class GCSBucketLogger(GCSBucketBase, AdditionalLoggingUtils):
                     request_date_str=date_str,
                     response_id=request_id,
                 )
-                encoded_object_name = quote(object_name, safe="")
-                response = await self.download_gcs_object(encoded_object_name)
+                response = await self.download_gcs_object(object_name)
 
                 if response is not None:
                     loaded_response = json.loads(response)
diff --git a/litellm/integrations/gcs_bucket/gcs_bucket_base.py b/litellm/integrations/gcs_bucket/gcs_bucket_base.py
index e84b37e689b..1c5e30777a2 100644
--- a/litellm/integrations/gcs_bucket/gcs_bucket_base.py
+++ b/litellm/integrations/gcs_bucket/gcs_bucket_base.py
@@ -11,6 +11,10 @@ from litellm.integrations.gcs_bucket.gcs_bucket_mock_client import (
 
 from litellm._logging import verbose_logger
 from litellm.integrations.custom_batch_logger import CustomBatchLogger
+from litellm.litellm_core_utils.cloud_storage_security import (
+    encode_gcs_object_name_for_url,
+    split_configured_cloud_bucket_name,
+)
 from litellm.llms.custom_httpx.http_handler import (
     get_async_httpx_client,
     httpxSpecialProvider,
@@ -133,8 +137,8 @@ class GCSBucketBase(CustomBatchLogger):
             - Returns: bucket_name="my-bucket", object_name="my-folder/dev/my-object"
 
         """
-        if "/" in bucket_name:
-            bucket_name, prefix = bucket_name.split("/", 1)
+        bucket_name, prefix = split_configured_cloud_bucket_name(bucket_name)
+        if prefix:
             object_name = f"{prefix}/{object_name}"
             return bucket_name, object_name
         return bucket_name, object_name
@@ -248,6 +252,7 @@ class GCSBucketBase(CustomBatchLogger):
                 bucket_name=bucket_name,
                 object_name=object_name,
             )
+            object_name = encode_gcs_object_name_for_url(object_name)
 
             url = f"https://storage.googleapis.com/storage/v1/b/{bucket_name}/o/{object_name}?alt=media"
 
@@ -288,6 +293,7 @@ class GCSBucketBase(CustomBatchLogger):
                 bucket_name=bucket_name,
                 object_name=object_name,
             )
+            object_name = encode_gcs_object_name_for_url(object_name)
 
             url = f"https://storage.googleapis.com/storage/v1/b/{bucket_name}/o/{object_name}"
 
@@ -334,10 +340,11 @@ class GCSBucketBase(CustomBatchLogger):
             bucket_name=bucket_name,
             object_name=object_name,
         )
+        encoded_object_name = encode_gcs_object_name_for_url(object_name)
 
         response = await self.async_httpx_client.post(
             headers=headers,
-            url=f"https://storage.googleapis.com/upload/storage/v1/b/{bucket_name}/o?uploadType=media&name={object_name}",
+            url=f"https://storage.googleapis.com/upload/storage/v1/b/{bucket_name}/o?uploadType=media&name={encoded_object_name}",
             data=json_logged_payload,
         )
 
diff --git a/litellm/integrations/gitlab/gitlab_prompt_manager.py b/litellm/integrations/gitlab/gitlab_prompt_manager.py
index b073948d768..a468741aead 100644
--- a/litellm/integrations/gitlab/gitlab_prompt_manager.py
+++ b/litellm/integrations/gitlab/gitlab_prompt_manager.py
@@ -4,7 +4,8 @@ GitLab prompt manager with configurable prompts folder.
 
 from typing import TYPE_CHECKING, Any, Dict, List, Optional, Tuple, Union
 
-from jinja2 import DictLoader, Environment, select_autoescape
+from jinja2 import DictLoader, select_autoescape
+from jinja2.sandbox import ImmutableSandboxedEnvironment
 
 from litellm.integrations.custom_prompt_management import CustomPromptManagement
 
@@ -90,7 +91,13 @@ class GitLabTemplateManager:
             or ""
         ).strip("/")
 
-        self.jinja_env = Environment(
+        # Templates fetched from a GitLab repo are not trustworthy:
+        # anyone with repo write access can ship Jinja syntax that, in a
+        # plain `Environment()`, would reach `__class__.__init__.__globals__`
+        # and pivot into RCE on the proxy host. The sandbox blocks that
+        # attribute traversal while leaving normal `{{ var }}` substitution
+        # intact. Matches the dotprompt manager's hardening.
+        self.jinja_env = ImmutableSandboxedEnvironment(
             loader=DictLoader({}),
             autoescape=select_autoescape(["html", "xml"]),
             variable_start_string="{{",
diff --git a/litellm/integrations/langsmith.py b/litellm/integrations/langsmith.py
index 3a206122373..81570e462c4 100644
--- a/litellm/integrations/langsmith.py
+++ b/litellm/integrations/langsmith.py
@@ -19,6 +19,7 @@ from litellm.integrations.langsmith_mock_client import (
     create_mock_langsmith_client,
     should_use_langsmith_mock,
 )
+from litellm.litellm_core_utils.redact_messages import redact_user_api_key_info
 from litellm.llms.custom_httpx.http_handler import (
     get_async_httpx_client,
     httpxSpecialProvider,
@@ -164,6 +165,15 @@ class LangsmithLogger(CustomBatchLogger):
             for key in ("session_id", "thread_id", "conversation_id"):
                 if key in requester_metadata and key not in extra_metadata:
                     extra_metadata[key] = requester_metadata[key]
+
+        # helper is shallow; also scrub nested requester_metadata since
+        # LangSmith forwards the whole dict into `extra`
+        extra_metadata = redact_user_api_key_info(metadata=extra_metadata)
+        nested = extra_metadata.get("requester_metadata")
+        if isinstance(nested, dict):
+            extra_metadata["requester_metadata"] = redact_user_api_key_info(
+                metadata=nested
+            )
         return extra_metadata
 
     def _build_outputs_with_usage(
diff --git a/litellm/integrations/prometheus.py b/litellm/integrations/prometheus.py
index d9e57ee7cee..7d3856ea63a 100644
--- a/litellm/integrations/prometheus.py
+++ b/litellm/integrations/prometheus.py
@@ -1929,7 +1929,7 @@ class PrometheusLogger(CustomLogger):
             or _litellm_params_metadata.get("user_agent"),
         }
 
-    def set_llm_deployment_failure_metrics(self, request_kwargs: dict):
+    def set_llm_deployment_failure_metrics(self, request_kwargs: dict):  # noqa: PLR0915
         """
         Sets Failure metrics when an LLM API call fails
 
@@ -2007,17 +2007,32 @@ class PrometheusLogger(CustomLogger):
                     if code is not None:
                         exception_status = str(code)
 
-            # Create enum_values for the label factory (always create for use in different metrics)
+            # On LiteLLM-side rejects (no deployment picked), route request_kwargs["model"]
+            # into requested_model and leave deployment-scoped labels empty.
+            deployment_selected = bool(model_id)
+            if deployment_selected:
+                label_litellm_model_name = litellm_model_name
+                label_model_id = model_id
+                label_api_base = api_base
+                label_api_provider = llm_provider
+                label_requested_model = model_group or litellm_model_name
+            else:
+                label_litellm_model_name = ""
+                label_model_id = ""
+                label_api_base = ""
+                label_api_provider = ""
+                label_requested_model = litellm_model_name or model_group or ""
+
             enum_values = UserAPIKeyLabelValues(
-                litellm_model_name=litellm_model_name,
-                model_id=model_id,
-                api_base=api_base,
-                api_provider=llm_provider,
+                litellm_model_name=label_litellm_model_name,
+                model_id=label_model_id,
+                api_base=label_api_base,
+                api_provider=label_api_provider,
                 exception_status=exception_status,
                 exception_class=(
                     self._get_exception_class_name(exception) if exception else None
                 ),
-                requested_model=model_group or litellm_model_name,
+                requested_model=label_requested_model,
                 hashed_api_key=hashed_api_key,
                 api_key_alias=api_key_alias,
                 team=team,
@@ -2031,12 +2046,14 @@ class PrometheusLogger(CustomLogger):
             log these labels
             ["litellm_model_name", "model_id", "api_base", "api_provider"]
             """
-            self.set_deployment_partial_outage(
-                litellm_model_name=litellm_model_name or "",
-                model_id=model_id,
-                api_base=api_base,
-                api_provider=llm_provider or "",
-            )
+            # Only mark a deployment outage when one was actually picked.
+            if deployment_selected:
+                self.set_deployment_partial_outage(
+                    litellm_model_name=litellm_model_name or "",
+                    model_id=model_id,
+                    api_base=api_base,
+                    api_provider=llm_provider or "",
+                )
             _deployment_label_ctx = PrometheusLabelFactoryContext(enum_values)
             if exception is not None:
                 PrometheusLogger._inc_labeled_counter(
diff --git a/litellm/litellm_core_utils/cloud_storage_security.py b/litellm/litellm_core_utils/cloud_storage_security.py
new file mode 100644
index 00000000000..daa3dc60320
--- /dev/null
+++ b/litellm/litellm_core_utils/cloud_storage_security.py
@@ -0,0 +1,175 @@
+import posixpath
+import re
+from types import MappingProxyType
+from typing import Any, Mapping, Optional, Sequence, Tuple, cast
+from urllib.parse import quote, unquote
+
+from litellm._uuid import uuid
+
+VERTEX_AI_MANAGED_GCS_PREFIX = "litellm-vertex-files/"
+BEDROCK_MANAGED_S3_BATCH_PREFIX = "litellm-bedrock-files-"
+BEDROCK_MANAGED_S3_UPLOAD_PREFIX = "litellm-bedrock-files/"
+BEDROCK_MANAGED_S3_OUTPUT_PREFIX = "litellm-batch-outputs/"
+BEDROCK_MANAGED_S3_PREFIXES = (
+    BEDROCK_MANAGED_S3_BATCH_PREFIX,
+    BEDROCK_MANAGED_S3_UPLOAD_PREFIX,
+    BEDROCK_MANAGED_S3_OUTPUT_PREFIX,
+)
+_MAPPING_PROXY_TYPE: type = type(MappingProxyType({}))
+
+_SAFE_OBJECT_COMPONENT_PATTERN = re.compile(r"[^A-Za-z0-9._-]+")
+
+
+def sanitize_cloud_object_component(
+    value: Optional[str], fallback: str = "file"
+) -> str:
+    if not isinstance(value, str):
+        return fallback
+
+    component = posixpath.basename(value.replace("\\", "/")).strip()
+    if component in {"", ".", ".."}:
+        return fallback
+
+    component = "".join(
+        "_" if ord(char) < 32 or ord(char) == 127 else char for char in component
+    )
+    component = _SAFE_OBJECT_COMPONENT_PATTERN.sub("_", component)
+    component = component.strip("._")
+    if not component:
+        return fallback
+    return component[:255]
+
+
+def sanitize_cloud_object_path(value: Optional[str], fallback: str = "file") -> str:
+    if not isinstance(value, str):
+        return fallback
+
+    segments = []
+    for segment in value.replace("\\", "/").split("/"):
+        sanitized_segment = sanitize_cloud_object_component(segment, fallback="")
+        if sanitized_segment:
+            segments.append(sanitized_segment)
+
+    if not segments:
+        return fallback
+    return "/".join(segments)
+
+
+def build_managed_cloud_object_name(
+    prefix: str, filename: Optional[str], fallback_filename: str = "file"
+) -> str:
+    safe_filename = sanitize_cloud_object_component(
+        filename, fallback=fallback_filename
+    )
+    return f"{prefix}{uuid.uuid4().hex}-{safe_filename}"
+
+
+def _validate_cloud_object_path(object_name: str) -> None:
+    if not object_name:
+        raise ValueError("Cloud storage object name is required")
+    if object_name.startswith("/"):
+        raise ValueError("Cloud storage object name must be relative")
+    if any(ord(char) < 32 or ord(char) == 127 for char in object_name):
+        raise ValueError("Cloud storage object name contains control characters")
+    segments = object_name.split("/")
+    if any(segment in {".", ".."} for segment in segments):
+        raise ValueError("Cloud storage object name contains an invalid path segment")
+    if "" in segments[:-1]:
+        raise ValueError("Cloud storage object name contains an invalid path segment")
+
+
+def split_configured_cloud_bucket_name(bucket_name: str) -> Tuple[str, str]:
+    if not isinstance(bucket_name, str) or not bucket_name.strip():
+        raise ValueError("Cloud storage bucket name is required")
+
+    bucket_name = bucket_name.strip()
+    if "://" in bucket_name or "?" in bucket_name or "#" in bucket_name:
+        raise ValueError(
+            "Cloud storage bucket name must not include a URI scheme or query"
+        )
+    if any(ord(char) < 32 or ord(char) == 127 for char in bucket_name):
+        raise ValueError("Cloud storage bucket name contains control characters")
+
+    bucket, _, prefix = bucket_name.partition("/")
+    if not bucket:
+        raise ValueError("Cloud storage bucket name is required")
+    if "\\" in bucket:
+        raise ValueError("Cloud storage bucket name contains an invalid separator")
+
+    prefix = prefix.strip("/")
+    if prefix:
+        _validate_cloud_object_path(prefix)
+
+    return bucket, prefix
+
+
+def encode_gcs_object_name_for_url(object_name: str) -> str:
+    return quote(unquote(object_name), safe="")
+
+
+def encode_s3_object_key_for_url(object_key: str) -> str:
+    return quote(unquote(object_key), safe="/")
+
+
+def should_allow_legacy_cloud_file_ids(
+    litellm_params: Optional[Mapping[str, Any]] = None,
+) -> bool:
+    value = None
+    if isinstance(litellm_params, Mapping):
+        trusted_model_credentials = litellm_params.get(
+            "_litellm_internal_model_credentials"
+        )
+        if isinstance(trusted_model_credentials, _MAPPING_PROXY_TYPE):
+            value = cast(Mapping[str, Any], trusted_model_credentials).get(
+                "allow_legacy_cloud_file_ids"
+            )
+
+    if isinstance(value, bool):
+        return value
+    if isinstance(value, str):
+        return value.strip().lower() in {"1", "true", "yes", "on"}
+    return False
+
+
+def validate_managed_cloud_file_id(
+    file_id: str,
+    scheme: str,
+    configured_bucket_name: str,
+    allowed_object_prefixes: Sequence[str],
+    allow_legacy_cloud_file_ids: bool = False,
+) -> Tuple[str, str]:
+    decoded_file_id = unquote(file_id)
+    if not decoded_file_id.startswith(scheme):
+        raise ValueError(f"file_id must be a {scheme} URI")
+
+    full_path = decoded_file_id[len(scheme) :]
+    if "/" not in full_path:
+        raise ValueError("file_id must include a cloud storage object name")
+
+    bucket_name, object_name = full_path.split("/", 1)
+    configured_bucket, configured_prefix = split_configured_cloud_bucket_name(
+        configured_bucket_name
+    )
+    if bucket_name != configured_bucket:
+        raise ValueError("file_id bucket does not match the configured storage bucket")
+
+    _validate_cloud_object_path(object_name)
+    allowed_prefixes = tuple(allowed_object_prefixes)
+    if configured_prefix:
+        allowed_prefixes = tuple(
+            f"{configured_prefix.rstrip('/')}/{prefix}" for prefix in allowed_prefixes
+        )
+
+    if object_name.startswith(allowed_prefixes):
+        return bucket_name, object_name
+
+    if allow_legacy_cloud_file_ids:
+        if configured_prefix and not object_name.startswith(
+            f"{configured_prefix.rstrip('/')}/"
+        ):
+            raise ValueError(
+                "file_id object does not match the configured storage prefix"
+            )
+        return bucket_name, object_name
+
+    raise ValueError("file_id must reference a LiteLLM-managed storage object")
diff --git a/litellm/litellm_core_utils/initialize_dynamic_callback_params.py b/litellm/litellm_core_utils/initialize_dynamic_callback_params.py
index ffb6436f387..a89dae52316 100644
--- a/litellm/litellm_core_utils/initialize_dynamic_callback_params.py
+++ b/litellm/litellm_core_utils/initialize_dynamic_callback_params.py
@@ -37,8 +37,6 @@ _supported_callback_params = [
     "langfuse_secret_key",
     "langfuse_host",
     "langfuse_prompt_version",
-    "gcs_bucket_name",
-    "gcs_path_service_account",
     "langsmith_api_key",
     "langsmith_project",
     "langsmith_base_url",
@@ -57,6 +55,11 @@ _supported_callback_params = [
     "lunary_public_key",
 ]
 
+_request_blocked_callback_params = {
+    "gcs_bucket_name",
+    "gcs_path_service_account",
+}
+
 
 def initialize_standard_callback_dynamic_params(
     kwargs: Optional[Dict] = None,
@@ -64,13 +67,15 @@ def initialize_standard_callback_dynamic_params(
     """
     Initialize the standard callback dynamic params from the kwargs
 
-    checks if langfuse_secret_key, gcs_bucket_name in kwargs and sets the corresponding attributes in StandardCallbackDynamicParams
+    checks supported request callback params in kwargs and sets the corresponding attributes in StandardCallbackDynamicParams
     """
 
     standard_callback_dynamic_params = StandardCallbackDynamicParams()
     if kwargs:
         # 1. Check top-level kwargs
         for param in _supported_callback_params:
+            if param in _request_blocked_callback_params:
+                continue
             if param in kwargs:
                 _param_value = kwargs.get(param)
                 validate_no_callback_env_reference(
@@ -86,6 +91,8 @@ def initialize_standard_callback_dynamic_params(
 
         if isinstance(metadata, dict):
             for param in _supported_callback_params:
+                if param in _request_blocked_callback_params:
+                    continue
                 if param not in standard_callback_dynamic_params and param in metadata:
                     _param_value = metadata.get(param)
                     validate_no_callback_env_reference(
diff --git a/litellm/litellm_core_utils/url_utils.py b/litellm/litellm_core_utils/url_utils.py
index 224927e5acd..38a78ee058f 100644
--- a/litellm/litellm_core_utils/url_utils.py
+++ b/litellm/litellm_core_utils/url_utils.py
@@ -21,7 +21,7 @@ Admins can opt out via two ``litellm`` globals (wired from proxy config):
 
 import socket
 from ipaddress import ip_address, ip_network
-from typing import Any, List, Set, Tuple
+from typing import Any, List, Optional, Set, Tuple
 from urllib.parse import quote, urlparse, urlunparse
 
 import httpx
@@ -110,6 +110,85 @@ def _normalize_host(host: str) -> str:
     return host.lower().rstrip(".")
 
 
+def _default_port_for_scheme(scheme: str) -> int:
+    return 443 if scheme == "https" else 80
+
+
+def _parse_url_destination_allowlist_entry(
+    entry: str,
+) -> Optional[Tuple[str, Optional[str], Optional[int]]]:
+    """Parse an admin allowlist entry into host, optional scheme, optional port.
+
+    Entries may be bare hosts (``api.example.com``), host+port
+    (``api.example.com:8443``), or origins (``https://api.example.com``).
+    URL paths are intentionally ignored so admins can paste an api_base value.
+    """
+    entry = entry.strip()
+    if not entry:
+        return None
+
+    has_scheme = "://" in entry
+    parsed = urlparse(entry if has_scheme else f"//{entry}")
+    if has_scheme and parsed.scheme not in _ALLOWED_SCHEMES:
+        return None
+    if parsed.username is not None or parsed.password is not None:
+        return None
+    if not parsed.hostname:
+        return None
+
+    try:
+        port = parsed.port
+    except ValueError:
+        return None
+
+    scheme: Optional[str] = parsed.scheme if has_scheme else None
+    if scheme is not None and port is None:
+        port = _default_port_for_scheme(scheme)
+
+    return _normalize_host(parsed.hostname), scheme, port
+
+
+def is_url_destination_allowed_by_host(url: str, allowed_hosts: List[str]) -> bool:
+    """Return True when a credential-bearing provider URL is admin-allowlisted.
+
+    This does not fetch, resolve, or rewrite URLs. It only answers whether the
+    destination origin is explicitly trusted by configuration. Use ``safe_get``
+    for user-controlled content fetches that require SSRF protection.
+    """
+    parsed = urlparse(url)
+    if parsed.scheme not in _ALLOWED_SCHEMES:
+        return False
+    if parsed.username is not None or parsed.password is not None:
+        return False
+    if not parsed.hostname:
+        return False
+
+    try:
+        effective_port = parsed.port or _default_port_for_scheme(parsed.scheme)
+    except ValueError:
+        return False
+
+    normalized_host = _normalize_host(parsed.hostname)
+    configured_entries = (
+        [allowed_hosts] if isinstance(allowed_hosts, str) else allowed_hosts
+    )
+    for entry in configured_entries or []:
+        if not isinstance(entry, str):
+            continue
+        parsed_entry = _parse_url_destination_allowlist_entry(entry)
+        if parsed_entry is None:
+            continue
+        allowed_host, allowed_scheme, allowed_port = parsed_entry
+        if allowed_host != normalized_host:
+            continue
+        if allowed_scheme is not None and allowed_scheme != parsed.scheme:
+            continue
+        if allowed_port is not None and allowed_port != effective_port:
+            continue
+        return True
+    return False
+
+
 def _format_host_header(hostname: str, port: int, default_port: int) -> str:
     """Build an RFC 7230 Host header value, bracketing IPv6 literals."""
     bracketed = f"[{hostname}]" if ":" in hostname else hostname
@@ -185,7 +264,7 @@ def validate_url(url: str) -> Tuple[str, str]:
         raise SSRFError("URL has no hostname")
 
     port = parsed.port
-    default_port = 443 if parsed.scheme == "https" else 80
+    default_port = _default_port_for_scheme(parsed.scheme)
     effective_port = port if port is not None else default_port
     host_header = _format_host_header(hostname, effective_port, default_port)
 
@@ -286,7 +365,7 @@ _MAX_REDIRECTS = 10
 def _extract_redirect_url(response: Any, request_url: str) -> str:
     """Extract and resolve the redirect target from a response's Location header."""
     location = response.headers.get("location")
-    if not location:
+    if not isinstance(location, str) or not location:
         raise SSRFError("Redirect response has no Location header")
     # Resolve relative URLs against the request URL
     return str(httpx.URL(request_url).join(location))
diff --git a/litellm/llms/anthropic/chat/transformation.py b/litellm/llms/anthropic/chat/transformation.py
index 35624c93b37..345558a69f7 100644
--- a/litellm/llms/anthropic/chat/transformation.py
+++ b/litellm/llms/anthropic/chat/transformation.py
@@ -1,18 +1,31 @@
 import json
 import re
 import time
-from typing import TYPE_CHECKING, Any, Dict, List, Optional, Tuple, Union, cast
+from typing import (
+    TYPE_CHECKING,
+    Any,
+    Dict,
+    List,
+    NoReturn,
+    Optional,
+    Tuple,
+    Union,
+    cast,
+)
 
 import httpx
 
 import litellm
 from litellm.constants import (
+    ANTHROPIC_MIN_THINKING_BUDGET_TOKENS,
     ANTHROPIC_WEB_SEARCH_TOOL_MAX_USES,
     DEFAULT_ANTHROPIC_CHAT_MAX_TOKENS,
     DEFAULT_REASONING_EFFORT_HIGH_THINKING_BUDGET,
     DEFAULT_REASONING_EFFORT_LOW_THINKING_BUDGET,
+    DEFAULT_REASONING_EFFORT_MAX_THINKING_BUDGET,
     DEFAULT_REASONING_EFFORT_MEDIUM_THINKING_BUDGET,
     DEFAULT_REASONING_EFFORT_MINIMAL_THINKING_BUDGET,
+    DEFAULT_REASONING_EFFORT_XHIGH_THINKING_BUDGET,
     RESPONSE_FORMAT_TOOL_NAME,
 )
 from litellm.litellm_core_utils.core_helpers import map_finish_reason
@@ -92,6 +105,22 @@ else:
     LoggingClass = Any
 
 
+REASONING_EFFORT_TO_OUTPUT_CONFIG_EFFORT: Dict[str, str] = {
+    "low": "low",
+    "minimal": "low",
+    "medium": "medium",
+    "high": "high",
+    "xhigh": "xhigh",
+    "max": "max",
+}
+
+DROP_UNSUPPORTED_OUTPUT_CONFIG_WARNING = (
+    "Dropping unsupported `output_config` for model=%s "
+    "(drop_params=True). Effort is only supported on Opus 4.5+, "
+    "Sonnet 4.6+, and Mythos Preview."
+)
+
+
 class AnthropicConfig(AnthropicModelInfo, BaseConfig):
     """
     Reference: https://docs.anthropic.com/claude/reference/messages_post
@@ -202,17 +231,96 @@ class AnthropicConfig(AnthropicModelInfo, BaseConfig):
     def _supports_effort_level(model: str, level: str) -> bool:
         """Check ``supports_{level}_reasoning_effort`` in the model map.
 
-        Mirrors the pattern used in ``openai/chat/gpt_5_transformation.py`` so
-        that adding support for a new effort level is a pure model-map change.
+        Strips bedrock/vertex prefixes so a provider-routed Claude still
+        resolves to the Anthropic model-map entry.
         """
+        key = f"supports_{level}_reasoning_effort"
         try:
-            return _supports_factory(
+            if _supports_factory(
                 model=model,
                 custom_llm_provider="anthropic",
-                key=f"supports_{level}_reasoning_effort",
-            )
+                key=key,
+            ):
+                return True
         except Exception:
-            return False
+            pass
+        candidates = [model]
+        for prefix in (
+            "bedrock/converse/",
+            "bedrock/invoke/",
+            "bedrock/",
+            "vertex_ai/",
+        ):
+            if model.startswith(prefix):
+                candidates.append(model[len(prefix) :])
+        try:
+            from litellm.llms.bedrock.common_utils import BedrockModelInfo
+
+            base = BedrockModelInfo.get_base_model(model)
+            if base:
+                candidates.append(base)
+                candidates.append(f"bedrock/{base}")
+        except Exception:
+            pass
+        try:
+            import litellm
+
+            for cand in candidates:
+                if cand in litellm.model_cost and (
+                    litellm.model_cost[cand].get(key) is True
+                ):
+                    return True
+        except Exception:
+            pass
+        return False
+
+    @staticmethod
+    def _validate_effort_for_model(model: str, effort: Optional[str]) -> Optional[str]:
+        """Return ``None`` if ``effort`` is allowed on ``model``, else an error message."""
+        if effort == "max" and not (
+            AnthropicConfig._is_claude_4_6_model(model)
+            or AnthropicConfig._is_claude_4_7_model(model)
+            or AnthropicConfig._supports_effort_level(model, "max")
+        ):
+            return f"effort='max' is not supported by this model. Got model: {model}"
+        if effort == "xhigh" and not AnthropicConfig._supports_effort_level(
+            model, "xhigh"
+        ):
+            return f"effort='xhigh' is not supported by this model. Got model: {model}"
+        return None
+
+    @staticmethod
+    def _model_supports_effort_param(model: str) -> bool:
+        """Whether the model accepts ``output_config.effort`` at all."""
+        return any(
+            AnthropicConfig._supports_effort_level(model, level)
+            for level in ("low", "minimal", "medium", "high", "xhigh", "max")
+        )
+
+    @staticmethod
+    def _raise_invalid_reasoning_effort(
+        model: str, value: Any, llm_provider: str
+    ) -> NoReturn:
+        """Raise a ``BadRequestError`` for an unrecognised ``reasoning_effort``.
+
+        Args:
+            model: The model id the request was routed to (surfaced in the error).
+            value: The offending ``reasoning_effort`` value supplied by the caller.
+            llm_provider: Provider tag for the raised exception (``"anthropic"``,
+                ``"bedrock_converse"``, ``"databricks"``, ...).
+
+        Raises:
+            litellm.exceptions.BadRequestError: Always.
+        """
+        raise litellm.exceptions.BadRequestError(
+            message=(
+                f"Invalid reasoning_effort: {value!r}. "
+                f"Must be one of: 'minimal', 'low', 'medium', "
+                f"'high', 'xhigh', 'max', 'none'"
+            ),
+            model=model,
+            llm_provider=llm_provider,
+        )
 
     def get_supported_openai_params(self, model: str):
         params = [
@@ -794,12 +902,11 @@ class AnthropicConfig(AnthropicModelInfo, BaseConfig):
     def _map_reasoning_effort(
         reasoning_effort: Optional[Union[REASONING_EFFORT, str]],
         model: str,
+        llm_provider: str = "anthropic",
     ) -> Optional[AnthropicThinkingParam]:
         if reasoning_effort is None or reasoning_effort == "none":
             return None
-        if AnthropicConfig._is_claude_4_6_model(
-            model
-        ) or AnthropicConfig._is_claude_4_7_model(model):
+        if AnthropicConfig._is_adaptive_thinking_model(model):
             return AnthropicThinkingParam(
                 type="adaptive",
             )
@@ -818,13 +925,34 @@ class AnthropicConfig(AnthropicModelInfo, BaseConfig):
                 type="enabled",
                 budget_tokens=DEFAULT_REASONING_EFFORT_HIGH_THINKING_BUDGET,
             )
+        elif reasoning_effort == "xhigh":
+            return AnthropicThinkingParam(
+                type="enabled",
+                budget_tokens=DEFAULT_REASONING_EFFORT_XHIGH_THINKING_BUDGET,
+            )
+        elif reasoning_effort == "max":
+            return AnthropicThinkingParam(
+                type="enabled",
+                budget_tokens=DEFAULT_REASONING_EFFORT_MAX_THINKING_BUDGET,
+            )
         elif reasoning_effort == "minimal":
             return AnthropicThinkingParam(
                 type="enabled",
-                budget_tokens=DEFAULT_REASONING_EFFORT_MINIMAL_THINKING_BUDGET,
+                budget_tokens=max(
+                    DEFAULT_REASONING_EFFORT_MINIMAL_THINKING_BUDGET,
+                    ANTHROPIC_MIN_THINKING_BUDGET_TOKENS,
+                ),
             )
         else:
-            raise ValueError(f"Unmapped reasoning effort: {reasoning_effort}")
+            raise litellm.exceptions.BadRequestError(
+                message=(
+                    f"Unmapped reasoning effort: {reasoning_effort!r}. "
+                    f"Must be one of: 'minimal', 'low', 'medium', 'high', "
+                    f"'xhigh', 'max', 'none'."
+                ),
+                model=model,
+                llm_provider=llm_provider,
+            )
 
     def _extract_json_schema_from_response_format(
         self, value: Optional[dict]
@@ -1089,27 +1217,25 @@ class AnthropicConfig(AnthropicModelInfo, BaseConfig):
                 optional_params["thinking"] = value
             elif param == "reasoning_effort" and isinstance(value, str):
                 mapped_thinking = AnthropicConfig._map_reasoning_effort(
-                    reasoning_effort=value, model=model
+                    reasoning_effort=value,
+                    model=model,
+                    llm_provider=self.custom_llm_provider or "anthropic",
                 )
                 if mapped_thinking is None:
                     optional_params.pop("thinking", None)
                     optional_params.pop("output_config", None)
                 else:
                     optional_params["thinking"] = mapped_thinking
-                    # For Claude 4.6+ models, effort is controlled via output_config,
-                    # not thinking budget_tokens. Map reasoning_effort to output_config.
-                    if AnthropicConfig._is_claude_4_6_model(
-                        model
-                    ) or AnthropicConfig._is_claude_4_7_model(model):
-                        effort_map = {
-                            "low": "low",
-                            "minimal": "low",
-                            "medium": "medium",
-                            "high": "high",
-                            "xhigh": "xhigh",
-                            "max": "max",
-                        }
-                        mapped_effort = effort_map.get(value, value)
+                    if AnthropicConfig._is_adaptive_thinking_model(model):
+                        mapped_effort = REASONING_EFFORT_TO_OUTPUT_CONFIG_EFFORT.get(
+                            value
+                        )
+                        if mapped_effort is None:
+                            AnthropicConfig._raise_invalid_reasoning_effort(
+                                model=model,
+                                value=value,
+                                llm_provider=self.custom_llm_provider or "anthropic",
+                            )
                         optional_params["output_config"] = {"effort": mapped_effort}
             elif param == "web_search_options" and isinstance(value, dict):
                 hosted_web_search_tool = self.map_web_search_tool(
@@ -1532,29 +1658,31 @@ class AnthropicConfig(AnthropicModelInfo, BaseConfig):
         output_config = optional_params.get("output_config")
         if not output_config or not isinstance(output_config, dict):
             return
+        if litellm.drop_params is True and not self._model_supports_effort_param(model):
+            litellm.verbose_logger.warning(
+                DROP_UNSUPPORTED_OUTPUT_CONFIG_WARNING,
+                model,
+            )
+            optional_params.pop("output_config", None)
+            data.pop("output_config", None)
+            return
         effort = output_config.get("effort")
         valid_efforts = ["high", "medium", "low", "xhigh", "max"]
-        if effort and effort not in valid_efforts:
-            raise ValueError(
-                f"Invalid effort value: {effort}. Must be one of: "
-                f"'high', 'medium', 'low', 'xhigh', 'max'"
+        if effort is not None and effort not in valid_efforts:
+            raise litellm.exceptions.BadRequestError(
+                message=(
+                    f"Invalid effort value: {effort!r}. Must be one of: "
+                    f"'high', 'medium', 'low', 'xhigh', 'max'"
+                ),
+                model=model,
+                llm_provider=self.custom_llm_provider or "anthropic",
             )
-        # ``max`` is for Opus 4.6+ output effort (not Sonnet 4.6, not Opus 4.5).
-        # Accept known Opus 4.6/4.7 id patterns and/or ``supports_max_reasoning_effort``
-        # in the model map (same pattern as ``xhigh`` below).
-        if effort == "max" and not (
-            self._is_opus_4_6_model(model)
-            or self._is_opus_4_7_model(model)
-            or self._supports_effort_level(model, "max")
-        ):
-            raise ValueError(
-                f"effort='max' is not supported by this model. Got model: {model}"
-            )
-        # ``xhigh`` is data-driven via ``supports_xhigh_reasoning_effort`` so
-        # enabling it for a new model is a pure model-map change.
-        if effort == "xhigh" and not self._supports_effort_level(model, "xhigh"):
-            raise ValueError(
-                f"effort='xhigh' is not supported by this model. Got model: {model}"
+        gate_error = self._validate_effort_for_model(model, effort)
+        if gate_error is not None:
+            raise litellm.exceptions.BadRequestError(
+                message=gate_error,
+                model=model,
+                llm_provider=self.custom_llm_provider or "anthropic",
             )
         data["output_config"] = output_config
 
diff --git a/litellm/llms/anthropic/common_utils.py b/litellm/llms/anthropic/common_utils.py
index b095d40156d..869a7c5fbc4 100644
--- a/litellm/llms/anthropic/common_utils.py
+++ b/litellm/llms/anthropic/common_utils.py
@@ -273,7 +273,18 @@ class AnthropicModelInfo(BaseLLMModelInfo):
 
     @staticmethod
     def _is_adaptive_thinking_model(model: str) -> bool:
-        """Claude 4.6+ models use adaptive thinking with output_config effort."""
+        """Claude 4.6+ models use adaptive thinking with ``output_config.effort``."""
+        from litellm.utils import _supports_factory
+
+        try:
+            if _supports_factory(
+                model=model,
+                custom_llm_provider=None,
+                key="supports_adaptive_thinking",
+            ):
+                return True
+        except Exception:
+            pass
         return AnthropicModelInfo._is_claude_4_6_model(
             model
         ) or AnthropicModelInfo._is_claude_4_7_model(model)
diff --git a/litellm/llms/anthropic/experimental_pass_through/messages/transformation.py b/litellm/llms/anthropic/experimental_pass_through/messages/transformation.py
index 7617ad52ab1..35495d59610 100644
--- a/litellm/llms/anthropic/experimental_pass_through/messages/transformation.py
+++ b/litellm/llms/anthropic/experimental_pass_through/messages/transformation.py
@@ -47,6 +47,7 @@ class AnthropicMessagesConfig(BaseAnthropicMessagesConfig):
             "inference_geo",
             "speed",
             "output_config",
+            "reasoning_effort",
             # TODO: Add Anthropic `metadata` support
             # "metadata",
         ]
@@ -166,6 +167,62 @@ class AnthropicMessagesConfig(BaseAnthropicMessagesConfig):
 
         return headers, api_base
 
+    @staticmethod
+    def _translate_reasoning_effort_to_anthropic(
+        model: str, optional_params: Dict
+    ) -> None:
+        """Map OpenAI-style ``reasoning_effort`` to native Anthropic params.
+
+        Caller-supplied ``thinking`` / ``output_config`` win over the alias.
+        ``effort='none'`` clears both. Invalid efforts raise a 400.
+        """
+        from litellm.exceptions import BadRequestError as _BadRequestError
+        from litellm.llms.anthropic.chat.transformation import (
+            REASONING_EFFORT_TO_OUTPUT_CONFIG_EFFORT,
+            AnthropicConfig,
+        )
+
+        reasoning_effort = optional_params.pop("reasoning_effort", None)
+        if not isinstance(reasoning_effort, str):
+            return
+
+        try:
+            mapped_thinking = AnthropicConfig._map_reasoning_effort(
+                reasoning_effort=reasoning_effort, model=model
+            )
+        except _BadRequestError as e:
+            raise AnthropicError(message=str(e.message), status_code=400)
+
+        if mapped_thinking is None:
+            optional_params.pop("thinking", None)
+            optional_params.pop("output_config", None)
+            return
+
+        optional_params.setdefault("thinking", mapped_thinking)
+        if AnthropicModelInfo._is_adaptive_thinking_model(model):
+            mapped_effort = REASONING_EFFORT_TO_OUTPUT_CONFIG_EFFORT.get(
+                reasoning_effort
+            )
+            if mapped_effort is None:
+                raise AnthropicError(
+                    message=(
+                        f"Invalid reasoning_effort: {reasoning_effort!r}. "
+                        f"Must be one of: 'minimal', 'low', 'medium', 'high', "
+                        f"'xhigh', 'max', 'none'"
+                    ),
+                    status_code=400,
+                )
+            gate_error = AnthropicConfig._validate_effort_for_model(
+                model, mapped_effort
+            )
+            if gate_error is not None:
+                raise AnthropicError(message=gate_error, status_code=400)
+            existing_output_config = optional_params.get("output_config")
+            if not isinstance(existing_output_config, dict):
+                existing_output_config = {}
+            existing_output_config.setdefault("effort", mapped_effort)
+            optional_params["output_config"] = existing_output_config
+
     @staticmethod
     def _translate_legacy_thinking_for_adaptive_model(
         model: str, optional_params: Dict
@@ -217,6 +274,11 @@ class AnthropicMessagesConfig(BaseAnthropicMessagesConfig):
                 status_code=400,
             )
 
+        self._translate_reasoning_effort_to_anthropic(
+            model=model,
+            optional_params=anthropic_messages_optional_request_params,
+        )
+
         self._translate_legacy_thinking_for_adaptive_model(
             model=model,
             optional_params=anthropic_messages_optional_request_params,
diff --git a/litellm/llms/azure_ai/anthropic/transformation.py b/litellm/llms/azure_ai/anthropic/transformation.py
index e935aa1c057..e176a4d860e 100644
--- a/litellm/llms/azure_ai/anthropic/transformation.py
+++ b/litellm/llms/azure_ai/anthropic/transformation.py
@@ -12,6 +12,23 @@ if TYPE_CHECKING:
     pass
 
 
+def _promote_extra_body_to_optional_params(optional_params: dict) -> None:
+    """Promote anthropic-native passthrough keys out of ``extra_body``.
+
+    ``azure_ai`` is an OpenAI-compatible provider, so non-OpenAI kwargs like
+    ``output_config`` get auto-routed into ``extra_body`` by
+    ``add_provider_specific_params_to_optional_params``. For the Azure→Anthropic
+    route those keys must reach the request body and be validated, so promote
+    them. ``setdefault`` keeps explicit top-level values authoritative.
+    """
+    extra_body = optional_params.get("extra_body")
+    if not isinstance(extra_body, dict) or not extra_body:
+        return
+    for k, v in extra_body.items():
+        optional_params.setdefault(k, v)
+    optional_params.pop("extra_body", None)
+
+
 class AzureAnthropicConfig(AnthropicConfig):
     """
     Azure Anthropic configuration that extends AnthropicConfig.
@@ -39,6 +56,8 @@ class AzureAnthropicConfig(AnthropicConfig):
         1. API key via 'api-key' header
         2. Azure AD token via 'Authorization: Bearer <token>' header
         """
+        _promote_extra_body_to_optional_params(optional_params)
+
         # Convert dict to GenericLiteLLMParams if needed
         if isinstance(litellm_params, dict):
             # Ensure api_key is included if provided
@@ -101,7 +120,8 @@ class AzureAnthropicConfig(AnthropicConfig):
         Transform request using parent AnthropicConfig, then remove unsupported params.
         Azure Anthropic doesn't support extra_body, max_retries, or stream_options parameters.
         """
-        # Call parent transform_request
+        _promote_extra_body_to_optional_params(optional_params)
+
         data = super().transform_request(
             model=model,
             messages=messages,
diff --git a/litellm/llms/base_llm/chat/transformation.py b/litellm/llms/base_llm/chat/transformation.py
index b71ae0fddee..bec25916c4b 100644
--- a/litellm/llms/base_llm/chat/transformation.py
+++ b/litellm/llms/base_llm/chat/transformation.py
@@ -87,9 +87,7 @@ class BaseConfig(ABC):
         return {
             k: v
             for k, v in cls.__dict__.items()
-            if not k.startswith("__")
-            and not k.startswith("_abc")
-            and not k.startswith("_is_base_class")
+            if not k.startswith("_")
             and not isinstance(
                 v,
                 (
diff --git a/litellm/llms/base_llm/managed_resources/base_managed_resource.py b/litellm/llms/base_llm/managed_resources/base_managed_resource.py
index 5422af76780..c0c18aefdeb 100644
--- a/litellm/llms/base_llm/managed_resources/base_managed_resource.py
+++ b/litellm/llms/base_llm/managed_resources/base_managed_resource.py
@@ -18,6 +18,11 @@ from typing import (
 )
 
 from litellm import verbose_logger
+from litellm.llms.base_llm.managed_resources.isolation import (
+    build_list_page,
+    build_owner_filter,
+    can_access_resource,
+)
 from litellm.proxy._types import UserAPIKeyAuth
 from litellm.types.utils import SpecialEnums
 
@@ -169,6 +174,7 @@ class BaseManagedResource(ABC, Generic[ResourceObjectType]):
             "model_mappings": model_mappings,
             "flat_model_resource_ids": list(model_mappings.values()),
             "created_by": user_api_key_dict.user_id,
+            "team_id": user_api_key_dict.team_id,
             "updated_by": user_api_key_dict.user_id,
         }
 
@@ -190,6 +196,7 @@ class BaseManagedResource(ABC, Generic[ResourceObjectType]):
             "model_mappings": json.dumps(model_mappings),
             "flat_model_resource_ids": list(model_mappings.values()),
             "created_by": user_api_key_dict.user_id,
+            "team_id": user_api_key_dict.team_id,
             "updated_by": user_api_key_dict.user_id,
         }
 
@@ -316,15 +323,17 @@ class BaseManagedResource(ABC, Generic[ResourceObjectType]):
         Returns:
             True if user has access, False otherwise
         """
-        user_id = user_api_key_dict.user_id
-
         # Use cached method instead of direct DB query
         resource = await self.get_unified_resource_id(
             unified_resource_id, litellm_parent_otel_span
         )
 
         if resource:
-            return resource.get("created_by") == user_id
+            return can_access_resource(
+                user_api_key_dict=user_api_key_dict,
+                created_by=resource.get("created_by"),
+                resource_team_id=resource.get("team_id"),
+            )
 
         return False
 
@@ -549,11 +558,11 @@ class BaseManagedResource(ABC, Generic[ResourceObjectType]):
         Returns:
             Dictionary with list of resources and pagination info
         """
-        where_clause: Dict[str, Any] = {}
+        owner_filter = build_owner_filter(user_api_key_dict)
+        if owner_filter is None:
+            return build_list_page([])
 
-        # Filter by user who created the resource
-        if user_api_key_dict.user_id:
-            where_clause["created_by"] = user_api_key_dict.user_id
+        where_clause: Dict[str, Any] = {**owner_filter}
 
         if after:
             where_clause["id"] = {"gt": after}
@@ -598,10 +607,6 @@ class BaseManagedResource(ABC, Generic[ResourceObjectType]):
                 )
                 continue
 
-        return {
-            "object": "list",
-            "data": resource_objects,
-            "first_id": resource_objects[0].id if resource_objects else None,
-            "last_id": resource_objects[-1].id if resource_objects else None,
-            "has_more": len(resource_objects) == (limit or 20),
-        }
+        return build_list_page(
+            resource_objects, has_more=len(resource_objects) == (limit or 20)
+        )
diff --git a/litellm/llms/base_llm/managed_resources/isolation.py b/litellm/llms/base_llm/managed_resources/isolation.py
new file mode 100644
index 00000000000..4298d044627
--- /dev/null
+++ b/litellm/llms/base_llm/managed_resources/isolation.py
@@ -0,0 +1,97 @@
+"""
+Tenant-isolation helpers for managed file/batch/vector-store resources.
+
+Returns a Prisma filter and an ownership check that scope managed resources
+to the caller's identity: proxy admins see everything, user-keyed callers
+see records they created, and service-account keys (no user_id) fall back
+to the resource's owning team. Callers with no admin role and no
+identifying ids are denied so an empty user_id can never select an
+unscoped query.
+"""
+
+from typing import Any, Dict, List, Optional
+
+from litellm.proxy._types import UserAPIKeyAuth
+from litellm.proxy.management_endpoints.common_utils import _user_has_admin_view
+
+
+def build_list_page(items: List[Any], has_more: bool = False) -> Dict[str, Any]:
+    """Build the OpenAI-style paginated list response shape used by managed
+    file/batch/vector-store listings. ``first_id`` and ``last_id`` are
+    sourced from each item's ``.id`` attribute."""
+    return {
+        "object": "list",
+        "data": items,
+        "first_id": items[0].id if items else None,
+        "last_id": items[-1].id if items else None,
+        "has_more": has_more,
+    }
+
+
+def build_owner_filter(
+    user_api_key_dict: UserAPIKeyAuth,
+) -> Optional[Dict[str, Any]]:
+    """Return a Prisma `where` fragment that scopes a managed-resource listing
+    to records the caller is allowed to see.
+
+    - ``{}`` means no scoping (proxy admins).
+    - ``{"created_by": <user_id>}`` for user-keyed callers.
+    - ``{"team_id": <team_id>}`` for service-account callers
+      that have a team but no user_id.
+    - ``{"OR": [...]}`` when the caller has both — listing must include
+      both their own resources and team-shared ones so it stays consistent
+      with ``can_access_resource``.
+    - ``None`` means deny: callers MUST skip the query rather than fall
+      back to an unscoped fetch.
+    """
+    if _user_has_admin_view(user_api_key_dict):
+        return {}
+
+    user_id = user_api_key_dict.user_id
+    team_id = user_api_key_dict.team_id
+
+    if user_id is not None and team_id is not None:
+        return {
+            "OR": [
+                {"created_by": user_id},
+                {"team_id": team_id},
+            ]
+        }
+
+    if user_id is not None:
+        return {"created_by": user_id}
+
+    if team_id is not None:
+        return {"team_id": team_id}
+
+    return None
+
+
+def can_access_resource(
+    user_api_key_dict: UserAPIKeyAuth,
+    created_by: Optional[str],
+    resource_team_id: Optional[str],
+) -> bool:
+    """Return True iff the caller may read/modify a managed resource.
+
+    The resource's ``created_by`` and ``team_id`` fields must be non-None
+    to match the caller's identity — guarding against the ``None == None``
+    bypass that previously let service-account keys read every keyless
+    resource.
+    """
+    if _user_has_admin_view(user_api_key_dict):
+        return True
+
+    user_id = user_api_key_dict.user_id
+    if user_id is not None and created_by is not None and created_by == user_id:
+        return True
+
+    team_id = user_api_key_dict.team_id
+    if (
+        team_id is not None
+        and resource_team_id is not None
+        and resource_team_id == team_id
+    ):
+        return True
+
+    return False
diff --git a/litellm/llms/bedrock/chat/converse_transformation.py b/litellm/llms/bedrock/chat/converse_transformation.py
index 8b8500ac060..efc890d9ee2 100644
--- a/litellm/llms/bedrock/chat/converse_transformation.py
+++ b/litellm/llms/bedrock/chat/converse_transformation.py
@@ -31,7 +31,11 @@ from litellm.litellm_core_utils.prompt_templates.factory import (
     _bedrock_converse_messages_pt,
     _bedrock_tools_pt,
 )
-from litellm.llms.anthropic.chat.transformation import AnthropicConfig
+from litellm.llms.anthropic.chat.transformation import (
+    DROP_UNSUPPORTED_OUTPUT_CONFIG_WARNING,
+    REASONING_EFFORT_TO_OUTPUT_CONFIG_EFFORT,
+    AnthropicConfig,
+)
 from litellm.llms.base_llm.chat.transformation import BaseConfig, BaseLLMException
 from litellm.types.llms.bedrock import *
 from litellm.types.llms.openai import (
@@ -189,7 +193,7 @@ class AmazonConverseConfig(BaseConfig):
         return {
             k: v
             for k, v in cls.__dict__.items()
-            if not k.startswith("__")
+            if not k.startswith("_")
             and not isinstance(
                 v,
                 (
@@ -410,52 +414,65 @@ class AmazonConverseConfig(BaseConfig):
         """
         Handle the reasoning_effort parameter based on the model type.
 
-        Different model families handle reasoning effort differently:
-        - GPT-OSS models: Keep reasoning_effort as-is (passed to additionalModelRequestFields)
-        - Nova 2 models: Transform to reasoningConfig structure
-        - Other models (Anthropic, etc.): Convert to thinking parameter
-
-        Args:
-            model: The model identifier
-            reasoning_effort: The reasoning effort value
-            optional_params: Dictionary of optional parameters to update in-place
-
-        Examples:
-            >>> config = AmazonConverseConfig()
-            >>> params = {}
-            >>> config._handle_reasoning_effort_parameter("gpt-oss-model", "high", params)
-            >>> params
-            {'reasoning_effort': 'high'}
-
-            >>> params = {}
-            >>> config._handle_reasoning_effort_parameter("amazon.nova-2-lite-v1:0", "high", params)
-            >>> params
-            {'reasoningConfig': {'type': 'enabled', 'maxReasoningEffort': 'high'}}
-
-            >>> params = {}
-            >>> config._handle_reasoning_effort_parameter("anthropic.claude-3", "high", params)
-            >>> params
-            {'thinking': {'type': 'enabled', 'budget_tokens': 10000}}
+        - GPT-OSS models: passed through unchanged via additionalModelRequestFields.
+        - Nova 2 models: transformed to reasoningConfig.
+        - Anthropic models: mapped to ``thinking`` (and ``output_config.effort`` on
+          adaptive Claude 4.6 / 4.7).
         """
         if "gpt-oss" in model:
-            # GPT-OSS models: keep reasoning_effort as-is
-            # It will be passed through to additionalModelRequestFields
             optional_params["reasoning_effort"] = reasoning_effort
         elif self._is_nova_2_model(model):
-            # Nova 2 models: transform to reasoningConfig
             reasoning_config = self._transform_reasoning_effort_to_reasoning_config(
                 reasoning_effort
             )
             optional_params.update(reasoning_config)
         else:
-            # Anthropic and other models: convert to thinking parameter
             mapped_thinking = AnthropicConfig._map_reasoning_effort(
-                reasoning_effort=reasoning_effort, model=model
+                reasoning_effort=reasoning_effort,
+                model=model,
+                llm_provider="bedrock_converse",
             )
             if mapped_thinking is None:
                 optional_params.pop("thinking", None)
+                optional_params.pop("output_config", None)
             else:
                 optional_params["thinking"] = mapped_thinking
+                if AnthropicConfig._is_adaptive_thinking_model(model):
+                    mapped_effort = REASONING_EFFORT_TO_OUTPUT_CONFIG_EFFORT.get(
+                        reasoning_effort
+                    )
+                    if mapped_effort is None:
+                        AnthropicConfig._raise_invalid_reasoning_effort(
+                            model=model,
+                            value=reasoning_effort,
+                            llm_provider="bedrock_converse",
+                        )
+                    self._validate_anthropic_adaptive_effort(
+                        model=model, effort=mapped_effort
+                    )
+                    optional_params["output_config"] = {"effort": mapped_effort}
+
+    @staticmethod
+    def _validate_anthropic_adaptive_effort(model: str, effort: str) -> None:
+        """Validate ``output_config.effort`` for adaptive-thinking Claude 4.6/4.7."""
+        valid_efforts = {"high", "medium", "low", "xhigh", "max"}
+        if effort not in valid_efforts:
+            raise litellm.exceptions.BadRequestError(
+                message=(
+                    f"Invalid reasoning_effort/output_config.effort value: "
+                    f"{effort!r}. Must be one of: 'low', 'medium', 'high', "
+                    f"'xhigh', or 'max'."
+                ),
+                model=model,
+                llm_provider="bedrock_converse",
+            )
+        error = AnthropicConfig._validate_effort_for_model(model=model, effort=effort)
+        if error is not None:
+            raise litellm.exceptions.BadRequestError(
+                message=error,
+                model=model,
+                llm_provider="bedrock_converse",
+            )
 
     @staticmethod
     def _clamp_thinking_budget_tokens(optional_params: dict) -> None:
@@ -1196,9 +1213,11 @@ class AmazonConverseConfig(BaseConfig):
             + supported_config_params
         )
         inference_params.pop("json_mode", None)  # used for handling json_schema
-        # Anthropic-only key. Bedrock expects `outputConfig` (camelCase) and
-        # will reject `output_config` if it leaks through pass-through routes.
-        inference_params.pop("output_config", None)
+
+        # Anthropic-only ``output_config`` (snake_case) — re-attached to
+        # ``additionalModelRequestFields`` for Anthropic models below. The
+        # Bedrock-native ``outputConfig`` (camelCase) is handled separately.
+        anthropic_output_config = inference_params.pop("output_config", None)
 
         # Extract requestMetadata before processing other parameters
         request_metadata = inference_params.pop("requestMetadata", None)
@@ -1208,9 +1227,6 @@ class AmazonConverseConfig(BaseConfig):
         output_config: Optional[OutputConfigBlock] = inference_params.pop(
             "outputConfig", None
         )
-        inference_params.pop(
-            "output_config", None
-        )  # Bedrock Converse doesn't support it
 
         # keep supported params in 'inference_params', and set all model-specific params in 'additional_request_params'
         additional_request_params = {
@@ -1253,6 +1269,27 @@ class AmazonConverseConfig(BaseConfig):
             additional_request_params
         )
 
+        if anthropic_output_config is not None and isinstance(
+            anthropic_output_config, dict
+        ):
+            base_model = BedrockModelInfo.get_base_model(model)
+            if base_model.startswith("anthropic"):
+                if (
+                    litellm.drop_params is True
+                    and not AnthropicConfig._model_supports_effort_param(model)
+                ):
+                    litellm.verbose_logger.warning(
+                        DROP_UNSUPPORTED_OUTPUT_CONFIG_WARNING,
+                        model,
+                    )
+                else:
+                    effort = anthropic_output_config.get("effort")
+                    if effort is not None:
+                        self._validate_anthropic_adaptive_effort(
+                            model=model, effort=effort
+                        )
+                    additional_request_params["output_config"] = anthropic_output_config
+
         return (
             inference_params,
             additional_request_params,
@@ -1376,9 +1413,25 @@ class AmazonConverseConfig(BaseConfig):
         # Append pre-formatted tools (systemTool etc.) after transformation
         bedrock_tools.extend(pre_formatted_tools)
 
+        # Opus 4.5 gates ``output_config.effort`` behind a beta header;
+        # Claude 4.6/4.7 accept it without one.
+        base_model = BedrockModelInfo.get_base_model(model)
+        if base_model.startswith("anthropic"):
+            output_config = additional_request_params.get("output_config")
+            if (
+                isinstance(output_config, dict)
+                and output_config.get("effort") is not None
+                and not AnthropicConfig._is_adaptive_thinking_model(model)
+            ):
+                from litellm.types.llms.anthropic import (
+                    ANTHROPIC_EFFORT_BETA_HEADER,
+                )
+
+                if ANTHROPIC_EFFORT_BETA_HEADER not in anthropic_beta_list:
+                    anthropic_beta_list.append(ANTHROPIC_EFFORT_BETA_HEADER)
+
         # Set anthropic_beta in additional_request_params if we have any beta features
         # ONLY apply to Anthropic/Claude models - other models (e.g., Qwen, Llama) don't support this field
-        base_model = BedrockModelInfo.get_base_model(model)
         if anthropic_beta_list and base_model.startswith("anthropic"):
             additional_request_params["anthropic_beta"] = anthropic_beta_list
 
diff --git a/litellm/llms/bedrock/chat/invoke_transformations/anthropic_claude3_transformation.py b/litellm/llms/bedrock/chat/invoke_transformations/anthropic_claude3_transformation.py
index cff415d49ec..c883ab68dff 100644
--- a/litellm/llms/bedrock/chat/invoke_transformations/anthropic_claude3_transformation.py
+++ b/litellm/llms/bedrock/chat/invoke_transformations/anthropic_claude3_transformation.py
@@ -169,7 +169,6 @@ class AmazonAnthropicClaudeConfig(AmazonInvokeConfig, AnthropicConfig):
         anthropic_request.pop("model", None)
         anthropic_request.pop("stream", None)
         anthropic_request.pop("output_format", None)
-        anthropic_request.pop("output_config", None)
         if "anthropic_version" not in anthropic_request:
             anthropic_request["anthropic_version"] = self.anthropic_version
 
diff --git a/litellm/llms/bedrock/files/handler.py b/litellm/llms/bedrock/files/handler.py
index 13bd87a1f01..ecf157e12ee 100644
--- a/litellm/llms/bedrock/files/handler.py
+++ b/litellm/llms/bedrock/files/handler.py
@@ -1,10 +1,17 @@
 import asyncio
 import base64
-from typing import Any, Coroutine, Optional, Tuple, Union
+import os
+from types import MappingProxyType
+from typing import Any, Coroutine, Mapping, Optional, Tuple, Union, cast
 
 import httpx
 
 from litellm import LlmProviders
+from litellm.litellm_core_utils.cloud_storage_security import (
+    BEDROCK_MANAGED_S3_PREFIXES,
+    should_allow_legacy_cloud_file_ids,
+    validate_managed_cloud_file_id,
+)
 from litellm.llms.custom_httpx.http_handler import get_async_httpx_client
 from litellm.types.llms.openai import (
     FileContentRequest,
@@ -35,7 +42,7 @@ class BedrockFilesHandler(BaseAWSLLM):
 
         The file ID can be in two formats:
         1. Base64-encoded unified file ID containing: llm_output_file_id,s3://bucket/path
-        2. Direct S3 URI: s3://bucket/path
+        2. Direct S3 URI: s3://bucket/litellm-managed-prefix/path
 
         Args:
             file_id: Encoded file ID or direct S3 URI
@@ -58,14 +65,19 @@ class BedrockFilesHandler(BaseAWSLLM):
         except Exception:
             pass
 
-        # If not base64 encoded or doesn't contain llm_output_file_id, assume it's already an S3 URI
+        # If not base64 encoded or doesn't contain llm_output_file_id, accept only
+        # explicit S3 URIs. Bucket and key validation happens before any S3 call.
         if file_id.startswith("s3://"):
             return file_id
 
-        # If it doesn't start with s3://, assume it's a direct S3 URI and add the prefix
-        return f"s3://{file_id}"
+        raise ValueError("file_id must be a managed LiteLLM S3 file id")
 
-    def _parse_s3_uri(self, s3_uri: str) -> Tuple[str, str]:
+    def _parse_s3_uri(
+        self,
+        s3_uri: str,
+        configured_bucket_name: str,
+        allow_legacy_cloud_file_ids: bool = False,
+    ) -> Tuple[str, str]:
         """
         Parse S3 URI to extract bucket name and object key.
 
@@ -75,21 +87,34 @@ class BedrockFilesHandler(BaseAWSLLM):
         Returns:
             Tuple of (bucket_name, object_key)
         """
-        if not s3_uri.startswith("s3://"):
-            raise ValueError(
-                f"Invalid S3 URI format: {s3_uri}. Expected format: s3://bucket-name/path/to/file"
+        return validate_managed_cloud_file_id(
+            file_id=s3_uri,
+            scheme="s3://",
+            configured_bucket_name=configured_bucket_name,
+            allowed_object_prefixes=BEDROCK_MANAGED_S3_PREFIXES,
+            allow_legacy_cloud_file_ids=allow_legacy_cloud_file_ids,
+        )
+
+    def _get_configured_s3_bucket_name(self, litellm_params: dict) -> str:
+        trusted_model_credentials = litellm_params.get(
+            "_litellm_internal_model_credentials"
+        )
+        bucket_name = None
+        if isinstance(trusted_model_credentials, type(MappingProxyType({}))):
+            trusted_model_credentials_mapping = cast(
+                Mapping[str, Any], trusted_model_credentials
             )
-
-        # Remove 's3://' prefix
-        path = s3_uri[5:]
-
-        if "/" in path:
-            bucket_name, object_key = path.split("/", 1)
-        else:
-            bucket_name = path
-            object_key = ""
-
-        return bucket_name, object_key
+            candidate_bucket_name = trusted_model_credentials_mapping.get(
+                "s3_bucket_name"
+            )
+            if isinstance(candidate_bucket_name, str):
+                bucket_name = candidate_bucket_name
+        bucket_name = bucket_name or os.getenv("AWS_S3_BUCKET_NAME")
+        if not bucket_name:
+            raise ValueError(
+                "S3 bucket_name is required. Set 's3_bucket_name' in proxy config or AWS_S3_BUCKET_NAME for Bedrock file content retrieval."
+            )
+        return bucket_name
 
     async def afile_content(
         self,
@@ -119,7 +144,14 @@ class BedrockFilesHandler(BaseAWSLLM):
 
         # Extract S3 URI from file ID
         s3_uri = self._extract_s3_uri_from_file_id(file_id)
-        bucket_name, object_key = self._parse_s3_uri(s3_uri)
+        configured_bucket_name = self._get_configured_s3_bucket_name(optional_params)
+        bucket_name, object_key = self._parse_s3_uri(
+            s3_uri=s3_uri,
+            configured_bucket_name=configured_bucket_name,
+            allow_legacy_cloud_file_ids=should_allow_legacy_cloud_file_ids(
+                optional_params
+            ),
+        )
 
         # Get AWS credentials
         aws_region_name = self._get_aws_region_name(
diff --git a/litellm/llms/bedrock/files/transformation.py b/litellm/llms/bedrock/files/transformation.py
index 3007b54808c..6669363093b 100644
--- a/litellm/llms/bedrock/files/transformation.py
+++ b/litellm/llms/bedrock/files/transformation.py
@@ -2,6 +2,7 @@ import json
 import os
 import time
 from typing import Any, Dict, List, Optional, Tuple, Union
+from urllib.parse import unquote
 
 import httpx
 from httpx import Headers, Response
@@ -10,6 +11,14 @@ from openai.types.file_deleted import FileDeleted
 from litellm._logging import verbose_logger
 from litellm._uuid import uuid
 from litellm.files.utils import FilesAPIUtils
+from litellm.litellm_core_utils.cloud_storage_security import (
+    BEDROCK_MANAGED_S3_BATCH_PREFIX,
+    BEDROCK_MANAGED_S3_UPLOAD_PREFIX,
+    build_managed_cloud_object_name,
+    encode_s3_object_key_for_url,
+    sanitize_cloud_object_component,
+    split_configured_cloud_bucket_name,
+)
 from litellm.litellm_core_utils.prompt_templates.common_utils import extract_file_data
 from litellm.llms.base_llm.chat.transformation import BaseLLMException
 from litellm.llms.base_llm.files.transformation import (
@@ -116,10 +125,13 @@ class BedrockFilesConfig(BaseAWSLLM, BaseFilesConfig):
         if _model.startswith("bedrock/"):
             _model = _model[8:]
 
-        # Replace colons with hyphens for Bedrock S3 URI compliance
-        _model = _model.replace(":", "-")
+        safe_model = sanitize_cloud_object_component(
+            _model.replace(":", "-"), fallback="model"
+        )
 
-        object_name = f"litellm-bedrock-files-{_model}-{uuid.uuid4()}.jsonl"
+        object_name = (
+            f"{BEDROCK_MANAGED_S3_BATCH_PREFIX}{safe_model}-{uuid.uuid4()}.jsonl"
+        )
         return object_name
 
     def get_object_name(
@@ -146,12 +158,13 @@ class BedrockFilesConfig(BaseAWSLLM, BaseFilesConfig):
             if len(openai_jsonl_content) > 0:
                 return self._get_s3_object_name_from_batch_jsonl(openai_jsonl_content)
 
-        ## 2. If not jsonl, return the filename
+        ## 2. If not jsonl, store under a server-generated managed object name
         filename = extracted_file_data.get("filename")
-        if filename:
-            return filename
-        ## 3. If no file name, return timestamp
-        return str(int(time.time()))
+        return build_managed_cloud_object_name(
+            prefix=BEDROCK_MANAGED_S3_UPLOAD_PREFIX,
+            filename=filename,
+            fallback_filename="file",
+        )
 
     def get_complete_file_url(
         self,
@@ -172,6 +185,7 @@ class BedrockFilesConfig(BaseAWSLLM, BaseFilesConfig):
             raise ValueError(
                 "S3 bucket_name is required. Set 's3_bucket_name' in litellm_params or AWS_S3_BUCKET_NAME env var"
             )
+        bucket_name, object_prefix = split_configured_cloud_bucket_name(bucket_name)
 
         s3_region_name = litellm_params.get("s3_region_name") or optional_params.get(
             "s3_region_name"
@@ -188,14 +202,17 @@ class BedrockFilesConfig(BaseAWSLLM, BaseFilesConfig):
             raise ValueError("purpose is required")
         extracted_file_data = extract_file_data(file_data)
         object_name = self.get_object_name(extracted_file_data, purpose)
+        if object_prefix:
+            object_name = f"{object_prefix}/{object_name}"
+        encoded_object_name = encode_s3_object_key_for_url(object_name)
 
         # S3 endpoint URL format
         s3_endpoint_url = (
             optional_params.get("s3_endpoint_url")
             or f"https://s3.{aws_region_name}.amazonaws.com"
-        )
+        ).rstrip("/")
 
-        return f"{s3_endpoint_url}/{bucket_name}/{object_name}"
+        return f"{s3_endpoint_url}/{bucket_name}/{encoded_object_name}"
 
     def get_supported_openai_params(
         self, model: str
@@ -532,10 +549,12 @@ class BedrockFilesConfig(BaseAWSLLM, BaseFilesConfig):
         if match1:
             # Pattern: https://s3.region.amazonaws.com/bucket/key
             region, bucket, key = match1.groups()
+            key = unquote(key)
             s3_uri = f"s3://{bucket}/{key}"
         elif match2:
             # Pattern: https://bucket.s3.region.amazonaws.com/key
             bucket, region, key = match2.groups()
+            key = unquote(key)
             s3_uri = f"s3://{bucket}/{key}"
         else:
             # Fallback: try to extract bucket and key from URL path
@@ -545,6 +564,7 @@ class BedrockFilesConfig(BaseAWSLLM, BaseFilesConfig):
             path_parts = parsed.path.lstrip("/").split("/", 1)
             if len(path_parts) >= 2:
                 bucket, key = path_parts[0], path_parts[1]
+                key = unquote(key)
                 s3_uri = f"s3://{bucket}/{key}"
             else:
                 raise ValueError(f"Unable to parse S3 URL: {https_url}")
@@ -722,7 +742,12 @@ class BedrockJsonlFilesTransformation:
         # Remove bedrock/ prefix if present
         if _model.startswith("bedrock/"):
             _model = _model[8:]
-        object_name = f"litellm-bedrock-files-{_model}-{uuid.uuid4()}.jsonl"
+        safe_model = sanitize_cloud_object_component(
+            _model.replace(":", "-"), fallback="model"
+        )
+        object_name = (
+            f"{BEDROCK_MANAGED_S3_BATCH_PREFIX}{safe_model}-{uuid.uuid4()}.jsonl"
+        )
         return object_name
 
     def _get_content_from_openai_file(self, openai_file_content: FileTypes) -> str:
diff --git a/litellm/llms/bedrock/messages/invoke_transformations/anthropic_claude3_transformation.py b/litellm/llms/bedrock/messages/invoke_transformations/anthropic_claude3_transformation.py
index 1b15ebaa76f..aae2bc5e289 100644
--- a/litellm/llms/bedrock/messages/invoke_transformations/anthropic_claude3_transformation.py
+++ b/litellm/llms/bedrock/messages/invoke_transformations/anthropic_claude3_transformation.py
@@ -12,9 +12,14 @@ from typing import (
 
 import httpx
 
+import litellm
 from litellm.anthropic_beta_headers_manager import filter_and_transform_beta_headers
 from litellm.constants import BEDROCK_MIN_THINKING_BUDGET_TOKENS
 from litellm.litellm_core_utils.litellm_logging import verbose_logger
+from litellm.llms.anthropic.chat.transformation import (
+    DROP_UNSUPPORTED_OUTPUT_CONFIG_WARNING,
+    AnthropicConfig,
+)
 from litellm.llms.anthropic.common_utils import AnthropicModelInfo
 from litellm.llms.anthropic.experimental_pass_through.messages.transformation import (
     AnthropicMessagesConfig,
@@ -580,6 +585,17 @@ class AmazonAnthropicClaudeMessagesConfig(
         if filtered_betas:
             anthropic_messages_request["anthropic_beta"] = filtered_betas
 
+        if (
+            litellm.drop_params is True
+            and "output_config" in anthropic_messages_request
+            and not AnthropicConfig._model_supports_effort_param(model)
+        ):
+            verbose_logger.warning(
+                DROP_UNSUPPORTED_OUTPUT_CONFIG_WARNING,
+                model,
+            )
+            anthropic_messages_request.pop("output_config", None)
+
         # 7. Final safety net: filter top-level fields to the Bedrock Invoke allowlist.
         # Catches Anthropic-only extensions (context_management, output_config, speed,
         # mcp_servers, ...) and any future additions Claude Code may start sending.
diff --git a/litellm/llms/databricks/chat/transformation.py b/litellm/llms/databricks/chat/transformation.py
index c086d4ad755..09c782a4755 100644
--- a/litellm/llms/databricks/chat/transformation.py
+++ b/litellm/llms/databricks/chat/transformation.py
@@ -56,7 +56,10 @@ from litellm.types.utils import (
     Usage,
 )
 
-from ...anthropic.chat.transformation import AnthropicConfig
+from ...anthropic.chat.transformation import (
+    REASONING_EFFORT_TO_OUTPUT_CONFIG_EFFORT,
+    AnthropicConfig,
+)
 from ...openai_like.chat.transformation import OpenAILikeChatConfig
 from ..common_utils import DatabricksBase, DatabricksException
 
@@ -330,9 +333,30 @@ class DatabricksConfig(DatabricksBase, OpenAILikeChatConfig, AnthropicConfig):
             )  # unsupported for claude models - if json_schema -> convert to tool call
 
         if "reasoning_effort" in non_default_params and "claude" in model:
-            optional_params["thinking"] = AnthropicConfig._map_reasoning_effort(
-                reasoning_effort=non_default_params.get("reasoning_effort"), model=model
+            reasoning_effort_value = non_default_params.get("reasoning_effort")
+            mapped_thinking = AnthropicConfig._map_reasoning_effort(
+                reasoning_effort=reasoning_effort_value,
+                model=model,
+                llm_provider="databricks",
             )
+            if mapped_thinking is None:
+                optional_params.pop("thinking", None)
+                optional_params.pop("output_config", None)
+            else:
+                optional_params["thinking"] = mapped_thinking
+                if AnthropicConfig._is_adaptive_thinking_model(model):
+                    mapped_effort: Optional[str] = None
+                    if isinstance(reasoning_effort_value, str):
+                        mapped_effort = REASONING_EFFORT_TO_OUTPUT_CONFIG_EFFORT.get(
+                            reasoning_effort_value
+                        )
+                    if mapped_effort is None:
+                        AnthropicConfig._raise_invalid_reasoning_effort(
+                            model=model,
+                            value=reasoning_effort_value,
+                            llm_provider="databricks",
+                        )
+                    optional_params["output_config"] = {"effort": mapped_effort}
             optional_params.pop("reasoning_effort", None)
         ## handle thinking tokens
         self.update_optional_params_with_thinking_tokens(
diff --git a/litellm/llms/litellm_proxy/skills/handler.py b/litellm/llms/litellm_proxy/skills/handler.py
index 8e5070c2724..37aabd8b477 100644
--- a/litellm/llms/litellm_proxy/skills/handler.py
+++ b/litellm/llms/litellm_proxy/skills/handler.py
@@ -9,42 +9,47 @@ import uuid
 from typing import Any, Dict, List, Optional
 
 from litellm._logging import verbose_logger
-from litellm.proxy._types import LiteLLM_SkillsTable, NewSkillRequest
+from litellm.caching.in_memory_cache import InMemoryCache
+from litellm.proxy._types import LiteLLM_SkillsTable, NewSkillRequest, UserAPIKeyAuth
+from litellm.proxy.common_utils.resource_ownership import (
+    get_primary_resource_owner_scope,
+    get_resource_owner_scopes,
+    is_proxy_admin,
+    user_can_access_resource_owner,
+)
+
+# Skills are looked up on every chat completion that has skills enabled
+# (`SkillsInjectionHook` calls ``fetch_skill_from_db``). 60s LRU/TTL cache
+# absorbs the hot read before it reaches Prisma. ``_NEGATIVE_SKILL_SENTINEL``
+# lets us cache a true "skill does not exist" so repeated misses also
+# avoid the DB — ``InMemoryCache`` returns ``None`` indistinguishably for
+# "miss" and "cached as None".
+_NEGATIVE_SKILL_SENTINEL = "__litellm_skill_not_found__"
+_SKILL_CACHE = InMemoryCache(max_size_in_memory=10000, default_ttl=60)
 
 
 def _prisma_skill_to_litellm(prisma_skill) -> LiteLLM_SkillsTable:
-    """
-    Convert a Prisma skill record to LiteLLM_SkillsTable.
+    """Convert a Prisma skill record to LiteLLM_SkillsTable.
 
-    Handles Base64 decoding of file_content field.
+    Handles Base64 decoding of file_content field — model_dump() converts
+    Base64 fields to base64-encoded strings.
     """
     import base64
 
     data = prisma_skill.model_dump()
 
-    # Decode Base64 file_content back to bytes
-    # model_dump() converts Base64 field to base64-encoded string
     if data.get("file_content") is not None:
         if isinstance(data["file_content"], str):
             data["file_content"] = base64.b64decode(data["file_content"])
-        elif isinstance(data["file_content"], bytes):
-            # Already bytes, no conversion needed
-            pass
 
     return LiteLLM_SkillsTable(**data)
 
 
 class LiteLLMSkillsHandler:
-    """
-    Handler for LiteLLM database-backed skills operations.
-
-    This class provides static methods for CRUD operations on skills
-    stored in the LiteLLM proxy database (LiteLLM_SkillsTable).
-    """
+    """CRUD for skills stored in ``litellm_skillstable``."""
 
     @staticmethod
     async def _get_prisma_client():
-        """Get the prisma client from proxy server."""
         from litellm.proxy.proxy_server import prisma_client
 
         if prisma_client is None:
@@ -58,20 +63,21 @@ class LiteLLMSkillsHandler:
     async def create_skill(
         data: NewSkillRequest,
         user_id: Optional[str] = None,
+        user_api_key_dict: Optional[UserAPIKeyAuth] = None,
     ) -> LiteLLM_SkillsTable:
-        """
-        Create a new skill in the LiteLLM database.
-
-        Args:
-            data: NewSkillRequest with skill details
-            user_id: Optional user ID for tracking
-
-        Returns:
-            LiteLLM_SkillsTable record
-        """
         prisma_client = await LiteLLMSkillsHandler._get_prisma_client()
 
         skill_id = f"litellm_skill_{uuid.uuid4()}"
+        owner = get_primary_resource_owner_scope(user_api_key_dict) or user_id
+        if owner is None:
+            # Identity-less callers (no user_id / team_id / org_id /
+            # api_key / token) can't be uniquely stamped on the row.
+            # Stamping a placeholder would let any two such callers see
+            # each other's skills via the shared owner. ValueError keeps
+            # this module FastAPI-free per the project layering rule.
+            raise ValueError(
+                "Unable to record skill ownership: caller has no identity scope."
+            )
 
         skill_data: Dict[str, Any] = {
             "skill_id": skill_id,
@@ -79,17 +85,15 @@ class LiteLLMSkillsHandler:
             "description": data.description,
             "instructions": data.instructions,
             "source": "custom",
-            "created_by": user_id,
-            "updated_by": user_id,
+            "created_by": owner,
+            "updated_by": owner,
         }
 
-        # Handle metadata
         if data.metadata is not None:
             from litellm.litellm_core_utils.safe_json_dumps import safe_dumps
 
             skill_data["metadata"] = safe_dumps(data.metadata)
 
-        # Handle file content - wrap bytes in Base64 for Prisma
         if data.file_content is not None:
             from prisma.fields import Base64
 
@@ -104,112 +108,103 @@ class LiteLLMSkillsHandler:
         )
 
         new_skill = await prisma_client.db.litellm_skillstable.create(data=skill_data)
-
         return _prisma_skill_to_litellm(new_skill)
 
     @staticmethod
     async def list_skills(
         limit: int = 20,
         offset: int = 0,
+        user_api_key_dict: Optional[UserAPIKeyAuth] = None,
     ) -> List[LiteLLM_SkillsTable]:
-        """
-        List skills from the LiteLLM database.
-
-        Args:
-            limit: Maximum number of skills to return
-            offset: Number of skills to skip
-
-        Returns:
-            List of LiteLLM_SkillsTable records
-        """
         prisma_client = await LiteLLMSkillsHandler._get_prisma_client()
 
         verbose_logger.debug(
             f"LiteLLMSkillsHandler: Listing skills with limit={limit}, offset={offset}"
         )
 
-        skills = await prisma_client.db.litellm_skillstable.find_many(
-            take=limit,
-            skip=offset,
-            order={"created_at": "desc"},
-        )
+        find_many_kwargs: Dict[str, Any] = {
+            "take": limit,
+            "skip": offset,
+            "order": {"created_at": "desc"},
+        }
+        if user_api_key_dict is not None and not is_proxy_admin(user_api_key_dict):
+            owner_scopes = get_resource_owner_scopes(user_api_key_dict)
+            if not owner_scopes:
+                return []
+            find_many_kwargs["where"] = {"created_by": {"in": owner_scopes}}
 
+        skills = await prisma_client.db.litellm_skillstable.find_many(
+            **find_many_kwargs
+        )
         return [_prisma_skill_to_litellm(s) for s in skills]
 
     @staticmethod
-    async def get_skill(skill_id: str) -> LiteLLM_SkillsTable:
+    async def _load_skill(skill_id: str) -> Optional[Any]:
+        """Cache-first read of the Prisma skill row. Owner-scope filtering
+        happens on the cached row, so the cache is per-skill not per-caller.
         """
-        Get a skill by ID from the LiteLLM database.
+        cached = _SKILL_CACHE.get_cache(skill_id)
+        if cached == _NEGATIVE_SKILL_SENTINEL:
+            return None
+        if cached is not None:
+            return cached
 
-        Args:
-            skill_id: The skill ID to retrieve
-
-        Returns:
-            LiteLLM_SkillsTable record
-
-        Raises:
-            ValueError: If skill not found
-        """
         prisma_client = await LiteLLMSkillsHandler._get_prisma_client()
-
-        verbose_logger.debug(f"LiteLLMSkillsHandler: Getting skill {skill_id}")
-
         skill = await prisma_client.db.litellm_skillstable.find_unique(
             where={"skill_id": skill_id}
         )
+        _SKILL_CACHE.set_cache(
+            skill_id, skill if skill is not None else _NEGATIVE_SKILL_SENTINEL
+        )
+        return skill
 
-        if skill is None:
+    @staticmethod
+    async def get_skill(
+        skill_id: str,
+        user_api_key_dict: Optional[UserAPIKeyAuth] = None,
+    ) -> LiteLLM_SkillsTable:
+        verbose_logger.debug(f"LiteLLMSkillsHandler: Getting skill {skill_id}")
+
+        skill = await LiteLLMSkillsHandler._load_skill(skill_id)
+        # Same "not found" message for both "missing" and "cross-tenant"
+        # so callers can't enumerate skill IDs they don't own.
+        if skill is None or not user_can_access_resource_owner(
+            getattr(skill, "created_by", None), user_api_key_dict
+        ):
             raise ValueError(f"Skill not found: {skill_id}")
 
         return _prisma_skill_to_litellm(skill)
 
     @staticmethod
-    async def delete_skill(skill_id: str) -> Dict[str, str]:
-        """
-        Delete a skill by ID from the LiteLLM database.
-
-        Args:
-            skill_id: The skill ID to delete
-
-        Returns:
-            Dict with id and type of deleted skill
-
-        Raises:
-            ValueError: If skill not found
-        """
+    async def delete_skill(
+        skill_id: str,
+        user_api_key_dict: Optional[UserAPIKeyAuth] = None,
+    ) -> Dict[str, str]:
         prisma_client = await LiteLLMSkillsHandler._get_prisma_client()
-
         verbose_logger.debug(f"LiteLLMSkillsHandler: Deleting skill {skill_id}")
 
-        # Check if skill exists
-        skill = await prisma_client.db.litellm_skillstable.find_unique(
-            where={"skill_id": skill_id}
-        )
-
-        if skill is None:
+        skill = await LiteLLMSkillsHandler._load_skill(skill_id)
+        if skill is None or not user_can_access_resource_owner(
+            getattr(skill, "created_by", None), user_api_key_dict
+        ):
             raise ValueError(f"Skill not found: {skill_id}")
 
-        # Delete the skill
         await prisma_client.db.litellm_skillstable.delete(where={"skill_id": skill_id})
+        _SKILL_CACHE.set_cache(skill_id, _NEGATIVE_SKILL_SENTINEL)
 
         return {"id": skill_id, "type": "skill_deleted"}
 
     @staticmethod
-    async def fetch_skill_from_db(skill_id: str) -> Optional[LiteLLM_SkillsTable]:
-        """
-        Fetch a skill from the database (used by skills injection hook).
-
-        This is a convenience method that returns None instead of raising
-        an exception if the skill is not found.
-
-        Args:
-            skill_id: The skill ID to fetch
-
-        Returns:
-            LiteLLM_SkillsTable or None if not found
-        """
+    async def fetch_skill_from_db(
+        skill_id: str,
+        user_api_key_dict: Optional[UserAPIKeyAuth] = None,
+    ) -> Optional[LiteLLM_SkillsTable]:
+        """Skills-injection-hook helper: returns None instead of raising on
+        not-found / not-authorized so the hook can silently skip."""
         try:
-            return await LiteLLMSkillsHandler.get_skill(skill_id)
+            return await LiteLLMSkillsHandler.get_skill(
+                skill_id, user_api_key_dict=user_api_key_dict
+            )
         except ValueError:
             return None
         except Exception as e:
diff --git a/litellm/llms/litellm_proxy/skills/transformation.py b/litellm/llms/litellm_proxy/skills/transformation.py
index 4622bda4e80..199f13191fe 100644
--- a/litellm/llms/litellm_proxy/skills/transformation.py
+++ b/litellm/llms/litellm_proxy/skills/transformation.py
@@ -18,6 +18,7 @@ from litellm.types.utils import LlmProviders
 
 if TYPE_CHECKING:
     from litellm.litellm_core_utils.litellm_logging import Logging as LiteLLMLoggingObj
+    from litellm.proxy._types import UserAPIKeyAuth
 
 
 class LiteLLMSkillsTransformationHandler:
@@ -44,6 +45,7 @@ class LiteLLMSkillsTransformationHandler:
         file_type: Optional[str] = None,
         metadata: Optional[Dict[str, Any]] = None,
         user_id: Optional[str] = None,
+        user_api_key_dict: Optional["UserAPIKeyAuth"] = None,
         _is_async: bool = False,
         logging_obj: Optional["LiteLLMLoggingObj"] = None,
         litellm_call_id: Optional[str] = None,
@@ -99,6 +101,7 @@ class LiteLLMSkillsTransformationHandler:
                 file_type=file_type,
                 metadata=metadata,
                 user_id=user_id,
+                user_api_key_dict=user_api_key_dict,
             )
 
         import asyncio
@@ -113,6 +116,7 @@ class LiteLLMSkillsTransformationHandler:
                 file_type=file_type,
                 metadata=metadata,
                 user_id=user_id,
+                user_api_key_dict=user_api_key_dict,
             )
         )
 
@@ -126,6 +130,7 @@ class LiteLLMSkillsTransformationHandler:
         file_type: Optional[str] = None,
         metadata: Optional[Dict[str, Any]] = None,
         user_id: Optional[str] = None,
+        user_api_key_dict: Optional["UserAPIKeyAuth"] = None,
     ) -> Skill:
         """Async implementation of create_skill."""
         # Lazy import to avoid SDK dependency on proxy
@@ -145,6 +150,7 @@ class LiteLLMSkillsTransformationHandler:
         db_skill = await LiteLLMSkillsHandler.create_skill(
             data=skill_request,
             user_id=user_id,
+            user_api_key_dict=user_api_key_dict,
         )
 
         return self._db_skill_to_response(db_skill)
@@ -156,6 +162,7 @@ class LiteLLMSkillsTransformationHandler:
         _is_async: bool = False,
         logging_obj: Optional["LiteLLMLoggingObj"] = None,
         litellm_call_id: Optional[str] = None,
+        user_api_key_dict: Optional["UserAPIKeyAuth"] = None,
         **kwargs,
     ) -> Union[ListSkillsResponse, Coroutine[Any, Any, ListSkillsResponse]]:
         """
@@ -182,18 +189,27 @@ class LiteLLMSkillsTransformationHandler:
             )
 
         if _is_async:
-            return self._async_list_skills(limit=limit, offset=offset)
+            return self._async_list_skills(
+                limit=limit,
+                offset=offset,
+                user_api_key_dict=user_api_key_dict,
+            )
 
         import asyncio
 
         return asyncio.get_event_loop().run_until_complete(
-            self._async_list_skills(limit=limit, offset=offset)
+            self._async_list_skills(
+                limit=limit,
+                offset=offset,
+                user_api_key_dict=user_api_key_dict,
+            )
         )
 
     async def _async_list_skills(
         self,
         limit: int = 20,
         offset: int = 0,
+        user_api_key_dict: Optional["UserAPIKeyAuth"] = None,
     ) -> ListSkillsResponse:
         """Async implementation of list_skills."""
         # Lazy import to avoid SDK dependency on proxy
@@ -202,6 +218,7 @@ class LiteLLMSkillsTransformationHandler:
         db_skills = await LiteLLMSkillsHandler.list_skills(
             limit=limit,
             offset=offset,
+            user_api_key_dict=user_api_key_dict,
         )
 
         skills = [self._db_skill_to_response(s) for s in db_skills]
@@ -217,6 +234,7 @@ class LiteLLMSkillsTransformationHandler:
         _is_async: bool = False,
         logging_obj: Optional["LiteLLMLoggingObj"] = None,
         litellm_call_id: Optional[str] = None,
+        user_api_key_dict: Optional["UserAPIKeyAuth"] = None,
         **kwargs,
     ) -> Union[Skill, Coroutine[Any, Any, Skill]]:
         """
@@ -242,20 +260,33 @@ class LiteLLMSkillsTransformationHandler:
             )
 
         if _is_async:
-            return self._async_get_skill(skill_id=skill_id)
+            return self._async_get_skill(
+                skill_id=skill_id,
+                user_api_key_dict=user_api_key_dict,
+            )
 
         import asyncio
 
         return asyncio.get_event_loop().run_until_complete(
-            self._async_get_skill(skill_id=skill_id)
+            self._async_get_skill(
+                skill_id=skill_id,
+                user_api_key_dict=user_api_key_dict,
+            )
         )
 
-    async def _async_get_skill(self, skill_id: str) -> Skill:
+    async def _async_get_skill(
+        self,
+        skill_id: str,
+        user_api_key_dict: Optional["UserAPIKeyAuth"] = None,
+    ) -> Skill:
         """Async implementation of get_skill."""
         # Lazy import to avoid SDK dependency on proxy
         from litellm.llms.litellm_proxy.skills.handler import LiteLLMSkillsHandler
 
-        db_skill = await LiteLLMSkillsHandler.get_skill(skill_id=skill_id)
+        db_skill = await LiteLLMSkillsHandler.get_skill(
+            skill_id=skill_id,
+            user_api_key_dict=user_api_key_dict,
+        )
         return self._db_skill_to_response(db_skill)
 
     def delete_skill_handler(
@@ -264,6 +295,7 @@ class LiteLLMSkillsTransformationHandler:
         _is_async: bool = False,
         logging_obj: Optional["LiteLLMLoggingObj"] = None,
         litellm_call_id: Optional[str] = None,
+        user_api_key_dict: Optional["UserAPIKeyAuth"] = None,
         **kwargs,
     ) -> Union[DeleteSkillResponse, Coroutine[Any, Any, DeleteSkillResponse]]:
         """
@@ -289,20 +321,33 @@ class LiteLLMSkillsTransformationHandler:
             )
 
         if _is_async:
-            return self._async_delete_skill(skill_id=skill_id)
+            return self._async_delete_skill(
+                skill_id=skill_id,
+                user_api_key_dict=user_api_key_dict,
+            )
 
         import asyncio
 
         return asyncio.get_event_loop().run_until_complete(
-            self._async_delete_skill(skill_id=skill_id)
+            self._async_delete_skill(
+                skill_id=skill_id,
+                user_api_key_dict=user_api_key_dict,
+            )
         )
 
-    async def _async_delete_skill(self, skill_id: str) -> DeleteSkillResponse:
+    async def _async_delete_skill(
+        self,
+        skill_id: str,
+        user_api_key_dict: Optional["UserAPIKeyAuth"] = None,
+    ) -> DeleteSkillResponse:
         """Async implementation of delete_skill."""
         # Lazy import to avoid SDK dependency on proxy
         from litellm.llms.litellm_proxy.skills.handler import LiteLLMSkillsHandler
 
-        result = await LiteLLMSkillsHandler.delete_skill(skill_id=skill_id)
+        result = await LiteLLMSkillsHandler.delete_skill(
+            skill_id=skill_id,
+            user_api_key_dict=user_api_key_dict,
+        )
         return DeleteSkillResponse(
             id=result["id"],
             type=result.get("type", "skill_deleted"),
diff --git a/litellm/llms/vertex_ai/files/handler.py b/litellm/llms/vertex_ai/files/handler.py
index bd4b2ac8bbc..c31bfde69e7 100644
--- a/litellm/llms/vertex_ai/files/handler.py
+++ b/litellm/llms/vertex_ai/files/handler.py
@@ -1,6 +1,6 @@
 import asyncio
 import time
-import urllib.parse
+from urllib.parse import unquote
 from typing import Any, Coroutine, Optional, Tuple, Union
 
 import httpx
@@ -10,6 +10,11 @@ from litellm.integrations.gcs_bucket.gcs_bucket_base import (
     GCSBucketBase,
     GCSLoggingConfig,
 )
+from litellm.litellm_core_utils.cloud_storage_security import (
+    VERTEX_AI_MANAGED_GCS_PREFIX,
+    should_allow_legacy_cloud_file_ids,
+    validate_managed_cloud_file_id,
+)
 from litellm.llms.custom_httpx.http_handler import get_async_httpx_client
 from litellm.types.llms.openai import (
     CreateFileRequest,
@@ -114,34 +119,31 @@ class VertexAIFilesHandler(GCSBucketBase):
                 )
             )
 
-    def _extract_bucket_and_object_from_file_id(self, file_id: str) -> Tuple[str, str]:
+    def _extract_bucket_and_object_from_file_id(
+        self,
+        file_id: str,
+        configured_bucket_name: str,
+        litellm_params: Optional[dict] = None,
+    ) -> Tuple[str, str]:
         """
-        Extract bucket name and object path from URL-encoded file_id.
+        Validate and extract bucket name and object path from file_id.
 
-        Expected format: gs%3A%2F%2Fbucket-name%2Fpath%2Fto%2Ffile
-        Which decodes to: gs://bucket-name/path/to/file
+        Expected format: gs://bucket-name/litellm-vertex-files/path/to/file
 
         Returns:
-            tuple: (bucket_name, url_encoded_object_path)
+            tuple: (bucket_name, object_path)
             - bucket_name: "bucket-name"
-            - url_encoded_object_path: "path%2Fto%2Ffile"
+            - object_path: "litellm-vertex-files/path/to/file"
         """
-        decoded_path = urllib.parse.unquote(file_id)
-
-        if decoded_path.startswith("gs://"):
-            full_path = decoded_path[5:]  # Remove 'gs://' prefix
-        else:
-            full_path = decoded_path
-
-        if "/" in full_path:
-            bucket_name, object_path = full_path.split("/", 1)
-        else:
-            bucket_name = full_path
-            object_path = ""
-
-        encoded_object_path = urllib.parse.quote(object_path, safe="")
-
-        return bucket_name, encoded_object_path
+        return validate_managed_cloud_file_id(
+            file_id=file_id,
+            scheme="gs://",
+            configured_bucket_name=configured_bucket_name,
+            allowed_object_prefixes=(VERTEX_AI_MANAGED_GCS_PREFIX,),
+            allow_legacy_cloud_file_ids=should_allow_legacy_cloud_file_ids(
+                litellm_params
+            ),
+        )
 
     async def afile_content(
         self,
@@ -151,6 +153,7 @@ class VertexAIFilesHandler(GCSBucketBase):
         vertex_location: Optional[str],
         timeout: Union[float, httpx.Timeout],
         max_retries: Optional[int],
+        litellm_params: Optional[dict] = None,
     ) -> HttpxBinaryResponseContent:
         """
         Download file content from GCS bucket for VertexAI files.
@@ -170,23 +173,30 @@ class VertexAIFilesHandler(GCSBucketBase):
         if not file_id:
             raise ValueError("file_id is required in file_content_request")
 
-        bucket_name, encoded_object_path = self._extract_bucket_and_object_from_file_id(
-            file_id
+        gcs_logging_config: GCSLoggingConfig = await self.get_gcs_logging_config(
+            kwargs={}
+        )
+        bucket_name, object_path = self._extract_bucket_and_object_from_file_id(
+            file_id=file_id,
+            configured_bucket_name=gcs_logging_config["bucket_name"],
+            litellm_params=litellm_params,
         )
 
         download_kwargs = {
-            "standard_callback_dynamic_params": {"gcs_bucket_name": bucket_name}
+            "standard_callback_dynamic_params": {
+                "gcs_bucket_name": bucket_name,
+                "gcs_path_service_account": gcs_logging_config["path_service_account"],
+            }
         }
 
         file_content = await self.download_gcs_object(
-            object_name=encoded_object_path, **download_kwargs
+            object_name=object_path, **download_kwargs
         )
+        decoded_file_id = unquote(file_id)
 
         if file_content is None:
-            decoded_path = urllib.parse.unquote(file_id)
-            raise ValueError(f"Failed to download file from GCS: {decoded_path}")
+            raise ValueError(f"Failed to download file from GCS: {decoded_file_id}")
 
-        decoded_path = urllib.parse.unquote(file_id)
         mock_response = httpx.Response(
             status_code=200,
             content=file_content,
@@ -194,7 +204,7 @@ class VertexAIFilesHandler(GCSBucketBase):
                 "content-type": "application/octet-stream",
                 "content-length": str(len(file_content)),
             },
-            request=httpx.Request(method="GET", url=decoded_path),
+            request=httpx.Request(method="GET", url=decoded_file_id),
         )
 
         # Apply transformation to convert Vertex AI batch outputs to OpenAI format
@@ -225,6 +235,7 @@ class VertexAIFilesHandler(GCSBucketBase):
         vertex_location: Optional[str],
         timeout: Union[float, httpx.Timeout],
         max_retries: Optional[int],
+        litellm_params: Optional[dict] = None,
     ) -> Union[
         HttpxBinaryResponseContent, Coroutine[Any, Any, HttpxBinaryResponseContent]
     ]:
@@ -253,6 +264,7 @@ class VertexAIFilesHandler(GCSBucketBase):
                 vertex_location=vertex_location,
                 timeout=timeout,
                 max_retries=max_retries,
+                litellm_params=litellm_params,
             )
         else:
             return asyncio.run(
@@ -263,5 +275,6 @@ class VertexAIFilesHandler(GCSBucketBase):
                     vertex_location=vertex_location,
                     timeout=timeout,
                     max_retries=max_retries,
+                    litellm_params=litellm_params,
                 )
             )
diff --git a/litellm/llms/vertex_ai/files/transformation.py b/litellm/llms/vertex_ai/files/transformation.py
index 01b2125d030..f30518bc7ca 100644
--- a/litellm/llms/vertex_ai/files/transformation.py
+++ b/litellm/llms/vertex_ai/files/transformation.py
@@ -12,6 +12,15 @@ from openai.types.file_deleted import FileDeleted
 import litellm
 from litellm._uuid import uuid
 from litellm.files.utils import FilesAPIUtils
+from litellm.litellm_core_utils.cloud_storage_security import (
+    VERTEX_AI_MANAGED_GCS_PREFIX,
+    build_managed_cloud_object_name,
+    encode_gcs_object_name_for_url,
+    sanitize_cloud_object_path,
+    should_allow_legacy_cloud_file_ids,
+    split_configured_cloud_bucket_name,
+    validate_managed_cloud_file_id,
+)
 from litellm.litellm_core_utils.litellm_logging import Logging
 from litellm.litellm_core_utils.prompt_templates.common_utils import extract_file_data
 from litellm.llms.base_llm.chat.transformation import BaseLLMException
@@ -248,7 +257,8 @@ class VertexAIFilesConfig(VertexBase, BaseFilesConfig):
         _model = openai_jsonl_content[0].get("body", {}).get("model", "")
         if "publishers/google/models" not in _model:
             _model = f"publishers/google/models/{_model}"
-        object_name = f"litellm-vertex-files/{_model}/{uuid.uuid4()}"
+        safe_model_path = sanitize_cloud_object_path(_model, fallback="model")
+        object_name = f"{VERTEX_AI_MANAGED_GCS_PREFIX}{safe_model_path}/{uuid.uuid4()}"
         return object_name
 
     def get_object_name(
@@ -275,12 +285,19 @@ class VertexAIFilesConfig(VertexBase, BaseFilesConfig):
             if len(openai_jsonl_content) > 0:
                 return self._get_gcs_object_name_from_batch_jsonl(openai_jsonl_content)
 
-        ## 2. If not jsonl, return the filename
+        ## 2. If not jsonl, store under a server-generated managed object name
         filename = extracted_file_data.get("filename")
-        if filename:
-            return filename
-        ## 3. If no file name, return timestamp
-        return str(int(time.time()))
+        return build_managed_cloud_object_name(
+            prefix=f"{VERTEX_AI_MANAGED_GCS_PREFIX}uploads/",
+            filename=filename,
+            fallback_filename="file",
+        )
+
+    def _get_configured_bucket_name(self, litellm_params: Dict) -> str:
+        bucket_name = litellm_params.get("bucket_name") or os.getenv("GCS_BUCKET_NAME")
+        if not bucket_name:
+            raise ValueError("GCS bucket_name is required")
+        return bucket_name
 
     def get_complete_file_url(
         self,
@@ -294,13 +311,8 @@ class VertexAIFilesConfig(VertexBase, BaseFilesConfig):
         """
         Get the complete url for the request
         """
-        bucket_name = (
-            litellm_params.get("bucket_name")
-            or litellm_params.get("litellm_metadata", {}).pop("gcs_bucket_name", None)
-            or os.getenv("GCS_BUCKET_NAME")
-        )
-        if not bucket_name:
-            raise ValueError("GCS bucket_name is required")
+        bucket_name = self._get_configured_bucket_name(litellm_params)
+        bucket_name, object_prefix = split_configured_cloud_bucket_name(bucket_name)
         file_data = data.get("file")
         purpose = data.get("purpose")
         if file_data is None:
@@ -309,9 +321,10 @@ class VertexAIFilesConfig(VertexBase, BaseFilesConfig):
             raise ValueError("purpose is required")
         extracted_file_data = extract_file_data(file_data)
         object_name = self.get_object_name(extracted_file_data, purpose)
-        endpoint = (
-            f"upload/storage/v1/b/{bucket_name}/o?uploadType=media&name={object_name}"
-        )
+        if object_prefix:
+            object_name = f"{object_prefix}/{object_name}"
+        encoded_object_name = encode_gcs_object_name_for_url(object_name)
+        endpoint = f"upload/storage/v1/b/{bucket_name}/o?uploadType=media&name={encoded_object_name}"
         api_base = api_base or "https://storage.googleapis.com"
         if not api_base:
             raise ValueError("api_base is required")
@@ -450,27 +463,23 @@ class VertexAIFilesConfig(VertexBase, BaseFilesConfig):
             status_code=status_code, message=error_message, headers=headers
         )
 
-    def _parse_gcs_uri(self, file_id: str) -> Tuple[str, str]:
+    def _parse_gcs_uri(
+        self, file_id: str, litellm_params: Optional[Dict] = None
+    ) -> Tuple[str, str]:
         """
-        Parse a GCS URI (gs://bucket/path/to/object) into (bucket, url-encoded-object-path).
-        Handles both raw and URL-encoded input.
+        Validate a managed GCS file_id and return (bucket, url-encoded-object-path).
         """
-        import urllib.parse
-
-        decoded = urllib.parse.unquote(file_id)
-        if decoded.startswith("gs://"):
-            full_path = decoded[5:]
-        else:
-            full_path = decoded
-
-        if "/" in full_path:
-            bucket_name, object_path = full_path.split("/", 1)
-        else:
-            bucket_name = full_path
-            object_path = ""
-
-        encoded_object = urllib.parse.quote(object_path, safe="")
-        return bucket_name, encoded_object
+        configured_bucket_name = self._get_configured_bucket_name(litellm_params or {})
+        bucket_name, object_path = validate_managed_cloud_file_id(
+            file_id=file_id,
+            scheme="gs://",
+            configured_bucket_name=configured_bucket_name,
+            allowed_object_prefixes=(VERTEX_AI_MANAGED_GCS_PREFIX,),
+            allow_legacy_cloud_file_ids=should_allow_legacy_cloud_file_ids(
+                litellm_params
+            ),
+        )
+        return bucket_name, encode_gcs_object_name_for_url(object_path)
 
     def transform_retrieve_file_request(
         self,
@@ -478,7 +487,7 @@ class VertexAIFilesConfig(VertexBase, BaseFilesConfig):
         optional_params: dict,
         litellm_params: dict,
     ) -> tuple[str, dict]:
-        bucket, encoded_object = self._parse_gcs_uri(file_id)
+        bucket, encoded_object = self._parse_gcs_uri(file_id, litellm_params)
         url = f"https://storage.googleapis.com/storage/v1/b/{bucket}/o/{encoded_object}"
         return url, {}
 
@@ -510,7 +519,7 @@ class VertexAIFilesConfig(VertexBase, BaseFilesConfig):
         optional_params: dict,
         litellm_params: dict,
     ) -> tuple[str, dict]:
-        bucket, encoded_object = self._parse_gcs_uri(file_id)
+        bucket, encoded_object = self._parse_gcs_uri(file_id, litellm_params)
         url = f"https://storage.googleapis.com/storage/v1/b/{bucket}/o/{encoded_object}"
         return url, {}
 
@@ -554,7 +563,7 @@ class VertexAIFilesConfig(VertexBase, BaseFilesConfig):
         litellm_params: dict,
     ) -> tuple[str, dict]:
         file_id = file_content_request.get("file_id", "")
-        bucket, encoded_object = self._parse_gcs_uri(file_id)
+        bucket, encoded_object = self._parse_gcs_uri(file_id, litellm_params)
         url = f"https://storage.googleapis.com/storage/v1/b/{bucket}/o/{encoded_object}?alt=media"
         return url, {}
 
@@ -842,7 +851,8 @@ class VertexAIJsonlFilesTransformation(VertexGeminiConfig):
         _model = openai_jsonl_content[0].get("body", {}).get("model", "")
         if "publishers/google/models" not in _model:
             _model = f"publishers/google/models/{_model}"
-        object_name = f"litellm-vertex-files/{_model}/{uuid.uuid4()}"
+        safe_model_path = sanitize_cloud_object_path(_model, fallback="model")
+        object_name = f"{VERTEX_AI_MANAGED_GCS_PREFIX}{safe_model_path}/{uuid.uuid4()}"
         return object_name
 
     def _map_openai_to_vertex_params(
diff --git a/litellm/llms/vertex_ai/vertex_ai_partner_models/anthropic/experimental_pass_through/transformation.py b/litellm/llms/vertex_ai/vertex_ai_partner_models/anthropic/experimental_pass_through/transformation.py
index d450f7a4635..4be4c2d5e78 100644
--- a/litellm/llms/vertex_ai/vertex_ai_partner_models/anthropic/experimental_pass_through/transformation.py
+++ b/litellm/llms/vertex_ai/vertex_ai_partner_models/anthropic/experimental_pass_through/transformation.py
@@ -159,10 +159,6 @@ class VertexAIPartnerModelsAnthropicMessagesConfig(AnthropicMessagesConfig, Vert
             "model", None
         )  # do not pass model in request body to vertex ai
 
-        # Vertex AI Claude accepts ``output_config.format`` (structured outputs)
-        # and ``output_format``, but rejects ``output_config.effort`` with 400
-        # "Extra inputs are not permitted". Sanitize in place so the supported
-        # bits flow through.
         sanitize_vertex_anthropic_output_params(anthropic_messages_request)
 
         return anthropic_messages_request
diff --git a/litellm/llms/vertex_ai/vertex_ai_partner_models/anthropic/output_params_utils.py b/litellm/llms/vertex_ai/vertex_ai_partner_models/anthropic/output_params_utils.py
index 982d8edbf20..a33ad677789 100644
--- a/litellm/llms/vertex_ai/vertex_ai_partner_models/anthropic/output_params_utils.py
+++ b/litellm/llms/vertex_ai/vertex_ai_partner_models/anthropic/output_params_utils.py
@@ -11,11 +11,9 @@ keeps the parent module's import surface narrow.
 """
 
 # Keys inside ``output_config`` that Vertex AI Claude does not accept.
-# Today only ``effort`` triggers "Extra inputs are not permitted"; add new
-# entries here as Vertex parity drifts. Keep this list narrow — anything
-# Vertex DOES accept (e.g. ``format`` for structured outputs) must be
-# preserved so callers can rely on Anthropic-native features.
-VERTEX_UNSUPPORTED_OUTPUT_CONFIG_KEYS: frozenset = frozenset({"effort"})
+# Add an entry only when a 400 "Extra inputs are not permitted" is
+# reproducible against the live Vertex endpoint.
+VERTEX_UNSUPPORTED_OUTPUT_CONFIG_KEYS: frozenset = frozenset()
 
 
 def sanitize_vertex_anthropic_output_params(data: dict) -> None:
diff --git a/litellm/llms/vertex_ai/vertex_ai_partner_models/anthropic/transformation.py b/litellm/llms/vertex_ai/vertex_ai_partner_models/anthropic/transformation.py
index 914c7e92e5e..4627d9f6df3 100644
--- a/litellm/llms/vertex_ai/vertex_ai_partner_models/anthropic/transformation.py
+++ b/litellm/llms/vertex_ai/vertex_ai_partner_models/anthropic/transformation.py
@@ -106,11 +106,6 @@ class VertexAIAnthropicConfig(AnthropicConfig):
 
         data.pop("model", None)  # vertex anthropic doesn't accept 'model' parameter
 
-        # Vertex AI Claude accepts ``output_config.format`` (structured outputs /
-        # JSON Schema) but NOT ``output_config.effort`` — sending ``effort`` to
-        # Vertex returns 400 "Extra inputs are not permitted". Sanitize in place:
-        # forward the structured-output bits, drop the unsupported keys.
-        # Same treatment for the legacy top-level ``output_format`` field.
         sanitize_vertex_anthropic_output_params(data)
 
         tools = optional_params.get("tools")
diff --git a/litellm/llms/xai/chat/transformation.py b/litellm/llms/xai/chat/transformation.py
index 64b4a545acb..6300868a641 100644
--- a/litellm/llms/xai/chat/transformation.py
+++ b/litellm/llms/xai/chat/transformation.py
@@ -223,8 +223,43 @@ class XAIChatConfig(OpenAIGPTConfig):
             self._enhance_usage_with_xai_web_search_fields(response, raw_response_json)
         except Exception as e:
             verbose_logger.debug(f"Error extracting X.AI web search usage: {e}")
+
+        self._fold_reasoning_tokens_into_completion(response)
         return response
 
+    @staticmethod
+    def _fold_reasoning_tokens_into_completion(model_response: ModelResponse) -> None:
+        """Reconcile xAI Usage to the OpenAI invariant.
+
+        xAI accounts ``reasoning_tokens`` separately from
+        ``completion_tokens`` while still summing them into ``total_tokens``.
+        OpenAI's contract (o1/o3) folds reasoning into ``completion_tokens``,
+        so fold here to keep ``total = prompt + completion``. Idempotent.
+        """
+        usage = getattr(model_response, "usage", None)
+        if usage is None:
+            return
+
+        details = getattr(usage, "completion_tokens_details", None)
+        reasoning_tokens = (
+            int(getattr(details, "reasoning_tokens", 0) or 0) if details else 0
+        )
+        if reasoning_tokens <= 0:
+            return
+
+        prompt_tokens = int(getattr(usage, "prompt_tokens", 0) or 0)
+        completion_tokens = int(getattr(usage, "completion_tokens", 0) or 0)
+        total_tokens = int(getattr(usage, "total_tokens", 0) or 0)
+
+        if total_tokens == prompt_tokens + completion_tokens:
+            return
+
+        # Guard against double-counting if xAI changes accounting.
+        if total_tokens != prompt_tokens + completion_tokens + reasoning_tokens:
+            return
+
+        usage.completion_tokens = completion_tokens + reasoning_tokens
+
     def _enhance_usage_with_xai_web_search_fields(
         self, model_response: ModelResponse, raw_response_json: dict
     ) -> None:
diff --git a/litellm/llms/xai/cost_calculator.py b/litellm/llms/xai/cost_calculator.py
index 0cfcfe98415..8edfd0c27ad 100644
--- a/litellm/llms/xai/cost_calculator.py
+++ b/litellm/llms/xai/cost_calculator.py
@@ -25,16 +25,25 @@ def cost_per_token(model: str, usage: Usage) -> Tuple[float, float]:
     Returns:
         Tuple[float, float] - prompt_cost_in_usd, completion_cost_in_usd
     """
-    # XAI-specific completion cost calculation
-    # For XAI models, completion is billed as (visible completion tokens + reasoning tokens)
+    # XAI-specific completion cost: completion is billed as visible + reasoning
+    # tokens. Detect when the transformation layer already folded them so we
+    # don't double-count; fall back to raw xAI shape for callers that bypass
+    # the transformation (e.g. proxy logs replayed into cost calc).
+    prompt_tokens = int(getattr(usage, "prompt_tokens", 0) or 0)
     completion_tokens = int(getattr(usage, "completion_tokens", 0) or 0)
+    total_tokens = int(getattr(usage, "total_tokens", 0) or 0)
     reasoning_tokens = 0
     if hasattr(usage, "completion_tokens_details") and usage.completion_tokens_details:
         reasoning_tokens = int(
             getattr(usage.completion_tokens_details, "reasoning_tokens", 0) or 0
         )
 
-    total_completion_tokens = completion_tokens + reasoning_tokens
+    already_normalised = total_tokens == prompt_tokens + completion_tokens
+    total_completion_tokens = (
+        completion_tokens
+        if already_normalised
+        else completion_tokens + reasoning_tokens
+    )
 
     modified_usage = Usage(
         prompt_tokens=usage.prompt_tokens,
diff --git a/litellm/model_prices_and_context_window_backup.json b/litellm/model_prices_and_context_window_backup.json
index b49d97dc4e3..7946e2dceef 100644
--- a/litellm/model_prices_and_context_window_backup.json
+++ b/litellm/model_prices_and_context_window_backup.json
@@ -977,6 +977,7 @@
         "supports_pdf_input": true,
         "supports_prompt_caching": true,
         "supports_reasoning": true,
+        "supports_minimal_reasoning_effort": true,
         "supports_response_schema": true,
         "supports_tool_choice": true,
         "supports_vision": true,
@@ -1162,6 +1163,21 @@
         "supports_max_reasoning_effort": true,
         "supports_minimal_reasoning_effort": true
     },
+    "anthropic.claude-mythos-preview": {
+        "input_cost_per_token": 0,
+        "output_cost_per_token": 0,
+        "litellm_provider": "bedrock",
+        "max_input_tokens": 1000000,
+        "max_output_tokens": 128000,
+        "max_tokens": 128000,
+        "mode": "chat",
+        "supports_function_calling": true,
+        "supports_vision": true,
+        "supports_prompt_caching": false,
+        "supports_reasoning": true,
+        "supports_minimal_reasoning_effort": true,
+        "supports_tool_choice": true
+    },
     "global.anthropic.claude-opus-4-7": {
         "cache_creation_input_token_cost": 6.25e-06,
         "cache_creation_input_token_cost_above_1hr": 1e-05,
@@ -1307,6 +1323,7 @@
         "supports_prompt_caching": true,
         "supports_reasoning": true,
         "supports_response_schema": true,
+        "supports_max_reasoning_effort": true,
         "supports_tool_choice": true,
         "supports_vision": true,
         "tool_use_system_prompt_tokens": 346,
@@ -1336,6 +1353,7 @@
         "supports_prompt_caching": true,
         "supports_reasoning": true,
         "supports_response_schema": true,
+        "supports_max_reasoning_effort": true,
         "supports_tool_choice": true,
         "supports_vision": true,
         "tool_use_system_prompt_tokens": 346,
@@ -1365,6 +1383,7 @@
         "supports_prompt_caching": true,
         "supports_reasoning": true,
         "supports_response_schema": true,
+        "supports_max_reasoning_effort": true,
         "supports_tool_choice": true,
         "supports_vision": true,
         "tool_use_system_prompt_tokens": 346,
@@ -1393,6 +1412,7 @@
         "supports_prompt_caching": true,
         "supports_reasoning": true,
         "supports_response_schema": true,
+        "supports_max_reasoning_effort": true,
         "supports_tool_choice": true,
         "supports_vision": true,
         "tool_use_system_prompt_tokens": 346,
@@ -1421,6 +1441,7 @@
         "supports_prompt_caching": true,
         "supports_reasoning": true,
         "supports_response_schema": true,
+        "supports_max_reasoning_effort": true,
         "supports_tool_choice": true,
         "supports_vision": true,
         "tool_use_system_prompt_tokens": 346,
@@ -1915,6 +1936,7 @@
         "supports_pdf_input": true,
         "supports_prompt_caching": true,
         "supports_reasoning": true,
+        "supports_minimal_reasoning_effort": true,
         "supports_response_schema": true,
         "supports_tool_choice": true,
         "supports_vision": true
@@ -2038,6 +2060,7 @@
         "supports_prompt_caching": true,
         "supports_reasoning": true,
         "supports_response_schema": true,
+        "supports_max_reasoning_effort": true,
         "supports_tool_choice": true,
         "supports_vision": true,
         "tool_use_system_prompt_tokens": 346,
@@ -9212,6 +9235,7 @@
         "supports_prompt_caching": true,
         "supports_reasoning": true,
         "supports_response_schema": true,
+        "supports_max_reasoning_effort": true,
         "supports_tool_choice": true,
         "supports_vision": true,
         "tool_use_system_prompt_tokens": 346,
@@ -9347,6 +9371,7 @@
         "supports_pdf_input": true,
         "supports_prompt_caching": true,
         "supports_reasoning": true,
+        "supports_minimal_reasoning_effort": true,
         "supports_response_schema": true,
         "supports_tool_choice": true,
         "supports_vision": true,
@@ -9374,6 +9399,7 @@
         "supports_pdf_input": true,
         "supports_prompt_caching": true,
         "supports_reasoning": true,
+        "supports_minimal_reasoning_effort": true,
         "supports_response_schema": true,
         "supports_tool_choice": true,
         "supports_vision": true,
@@ -9477,7 +9503,6 @@
             "us": 1.1,
             "fast": 6.0
         },
-        "supports_max_reasoning_effort": true,
         "supports_minimal_reasoning_effort": true
     },
     "claude-opus-4-7-20260416": {
@@ -9512,7 +9537,6 @@
             "us": 1.1,
             "fast": 6.0
         },
-        "supports_max_reasoning_effort": true,
         "supports_minimal_reasoning_effort": true
     },
     "claude-sonnet-4-20250514": {
@@ -10790,6 +10814,7 @@
         "supports_assistant_prefill": true,
         "supports_function_calling": true,
         "supports_reasoning": true,
+        "supports_minimal_reasoning_effort": true,
         "supports_tool_choice": true
     },
     "databricks/databricks-claude-sonnet-4": {
@@ -15548,7 +15573,7 @@
         "mode": "embedding",
         "output_cost_per_token": 0,
         "output_vector_size": 3072,
-        "source": "https://cloud.google.com/vertex-ai/generative-ai/pricing",
+        "source": "https://ai.google.dev/gemini-api/docs/embeddings#multimodal",
         "supports_multimodal": true,
         "uses_embed_content": true
     },
@@ -17150,7 +17175,8 @@
         ],
         "supports_function_calling": true,
         "supports_parallel_function_calling": true,
-        "supports_vision": true
+        "supports_vision": true,
+        "supports_minimal_reasoning_effort": true
     },
     "github_copilot/claude-opus-4.6-fast": {
         "litellm_provider": "github_copilot",
@@ -17663,7 +17689,8 @@
         "mode": "chat",
         "output_cost_per_token": 2.5e-05,
         "supports_function_calling": true,
-        "supports_vision": true
+        "supports_vision": true,
+        "supports_minimal_reasoning_effort": true
     },
     "gmi/anthropic/claude-sonnet-4.5": {
         "input_cost_per_token": 3e-06,
@@ -21142,7 +21169,7 @@
     },
     "gradient_ai/alibaba-qwen3-32b": {
         "litellm_provider": "gradient_ai",
-        "max_tokens": 2048,
+        "max_tokens": 40960,
         "mode": "chat",
         "supported_endpoints": [
             "/v1/chat/completions"
@@ -21150,7 +21177,9 @@
         "supported_modalities": [
             "text"
         ],
-        "supports_tool_choice": false
+        "supports_tool_choice": false,
+        "max_input_tokens": 131072,
+        "max_output_tokens": 40960
     },
     "gradient_ai/anthropic-claude-3-opus": {
         "input_cost_per_token": 1.5e-05,
@@ -21164,7 +21193,9 @@
         "supported_modalities": [
             "text"
         ],
-        "supports_tool_choice": false
+        "supports_tool_choice": false,
+        "max_input_tokens": 200000,
+        "max_output_tokens": 1024
     },
     "gradient_ai/anthropic-claude-3.5-haiku": {
         "input_cost_per_token": 8e-07,
@@ -21178,7 +21209,9 @@
         "supported_modalities": [
             "text"
         ],
-        "supports_tool_choice": false
+        "supports_tool_choice": false,
+        "max_input_tokens": 200000,
+        "max_output_tokens": 1024
     },
     "gradient_ai/anthropic-claude-3.5-sonnet": {
         "input_cost_per_token": 3e-06,
@@ -21192,7 +21225,9 @@
         "supported_modalities": [
             "text"
         ],
-        "supports_tool_choice": false
+        "supports_tool_choice": false,
+        "max_input_tokens": 200000,
+        "max_output_tokens": 1024
     },
     "gradient_ai/anthropic-claude-3.7-sonnet": {
         "input_cost_per_token": 3e-06,
@@ -21206,7 +21241,9 @@
         "supported_modalities": [
             "text"
         ],
-        "supports_tool_choice": false
+        "supports_tool_choice": false,
+        "max_input_tokens": 200000,
+        "max_output_tokens": 1024
     },
     "gradient_ai/deepseek-r1-distill-llama-70b": {
         "input_cost_per_token": 9.9e-07,
@@ -21220,7 +21257,9 @@
         "supported_modalities": [
             "text"
         ],
-        "supports_tool_choice": false
+        "supports_tool_choice": false,
+        "max_input_tokens": 32768,
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@@ -21248,7 +21289,9 @@
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@@ -21262,7 +21305,9 @@
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@@ -21274,7 +21319,9 @@
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@@ -21300,7 +21349,9 @@
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@@ -21314,7 +21365,9 @@
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@@ -21614,11 +21667,13 @@
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@@ -21642,7 +21701,9 @@
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@@ -22450,48 +22511,6 @@
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@@ -25963,12 +25982,14 @@
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@@ -26087,6 +26108,7 @@
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@@ -26105,6 +26127,7 @@
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@@ -26174,6 +26198,29 @@
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@@ -26539,18 +26586,22 @@
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@@ -26673,7 +26732,9 @@
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@@ -26693,26 +26754,32 @@
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@@ -28026,7 +28095,8 @@
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deleted file mode 100644
index a0f95ffb2b6..00000000000
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diff --git a/litellm/proxy/_experimental/out/_next/static/chunks/05d900c88781d712.js b/litellm/proxy/_experimental/out/_next/static/chunks/05d900c88781d712.js
deleted file mode 100644
index cdf2168b934..00000000000
--- a/litellm/proxy/_experimental/out/_next/static/chunks/05d900c88781d712.js
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diff --git a/litellm/proxy/_experimental/out/_next/static/chunks/be5ddb5784b2b78a.js b/litellm/proxy/_experimental/out/_next/static/chunks/0636443d6303b49b.js
similarity index 64%
rename from litellm/proxy/_experimental/out/_next/static/chunks/be5ddb5784b2b78a.js
rename to litellm/proxy/_experimental/out/_next/static/chunks/0636443d6303b49b.js
index 549a73ad343..0f11efb1abd 100644
--- a/litellm/proxy/_experimental/out/_next/static/chunks/be5ddb5784b2b78a.js
+++ b/litellm/proxy/_experimental/out/_next/static/chunks/0636443d6303b49b.js
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t,i,a=((t={}).AUDIO_SPEECH="audio_speech",t.AUDIO_TRANSCRIPTION="audio_transcription",t.IMAGE_GENERATION="image_generation",t.VIDEO_GENERATION="video_generation",t.CHAT="chat",t.RESPONSES="responses",t.IMAGE_EDITS="image_edits",t.ANTHROPIC_MESSAGES="anthropic_messages",t.EMBEDDING="embedding",t),o=((i={}).IMAGE="image",i.VIDEO="video",i.CHAT="chat",i.RESPONSES="responses",i.IMAGE_EDITS="image_edits",i.ANTHROPIC_MESSAGES="anthropic_messages",i.EMBEDDINGS="embeddings",i.SPEECH="speech",i.TRANSCRIPTION="transcription",i.A2A_AGENTS="a2a_agents",i.MCP="mcp",i.REALTIME="realtime",i);let r={image_generation:"image",video_generation:"video",chat:"chat",responses:"responses",image_edits:"image_edits",anthropic_messages:"anthropic_messages",audio_speech:"speech",audio_transcription:"transcription",embedding:"embeddings"};e.s(["EndpointType",()=>o,"getEndpointType",0,e=>{if(console.log("getEndpointType:",e),Object.values(a).includes(e)){let t=r[e];return console.log("endpointType:",t),t}return"chat"}],785913),e.s(["generateCodeSnippet",0,e=>{let t,{apiKeySource:i,accessToken:a,apiKey:r,inputMessage:n,chatHistory:l,selectedTags:s,selectedVectorStores:d,selectedGuardrails:c,selectedPolicies:p,selectedMCPServers:g,mcpServers:u,mcpServerToolRestrictions:m,selectedVoice:f,endpointType:h,selectedModel:_,selectedSdk:A,proxySettings:b}=e,v="session"===i?a:r,x=window.location.origin,y=b?.LITELLM_UI_API_DOC_BASE_URL;y&&y.trim()?x=y:b?.PROXY_BASE_URL&&(x=b.PROXY_BASE_URL);let I=n||"Your prompt here",E=I.replace(/\\/g,"\\\\").replace(/"/g,'\\"').replace(/\n/g,"\\n"),C=l.filter(e=>!e.isImage).map(({role:e,content:t})=>({role:e,content:t})),S={};s.length>0&&(S.tags=s),d.length>0&&(S.vector_stores=d),c.length>0&&(S.guardrails=c),p.length>0&&(S.policies=p);let O=_||"your-model-name",w="azure"===A?`import openai
+
+client = openai.AzureOpenAI(
+	api_key="${v||"YOUR_LITELLM_API_KEY"}",
+	azure_endpoint="${x}",
+	api_version="2024-02-01"
+)`:`import openai
+
+client = openai.OpenAI(
+	api_key="${v||"YOUR_LITELLM_API_KEY"}",
+	base_url="${x}"
+)`;switch(h){case o.CHAT:{let e=Object.keys(S).length>0,i="";if(e){let e=JSON.stringify({metadata:S},null,2).split("\n").map(e=>" ".repeat(4)+e).join("\n").trim();i=`,
+    extra_body=${e}`}let a=C.length>0?C:[{role:"user",content:I}];t=`
+import base64
+
+# Helper function to encode images to base64
+def encode_image(image_path):
+    with open(image_path, "rb") as image_file:
+        return base64.b64encode(image_file.read()).decode('utf-8')
+
+# Example with text only
+response = client.chat.completions.create(
+    model="${O}",
+    messages=${JSON.stringify(a,null,4)}${i}
+)
+
+print(response)
+
+# Example with image or PDF (uncomment and provide file path to use)
+# base64_file = encode_image("path/to/your/file.jpg")  # or .pdf
+# response_with_file = client.chat.completions.create(
+#     model="${O}",
+#     messages=[
+#         {
+#             "role": "user",
+#             "content": [
+#                 {
+#                     "type": "text",
+#                     "text": "${E}"
+#                 },
+#                 {
+#                     "type": "image_url",
+#                     "image_url": {
+#                         "url": f"data:image/jpeg;base64,{base64_file}"  # or data:application/pdf;base64,{base64_file}
+#                     }
+#                 }
+#             ]
+#         }
+#     ]${i}
+# )
+# print(response_with_file)
+`;break}case o.RESPONSES:{let e=Object.keys(S).length>0,i="";if(e){let e=JSON.stringify({metadata:S},null,2).split("\n").map(e=>" ".repeat(4)+e).join("\n").trim();i=`,
+    extra_body=${e}`}let a=C.length>0?C:[{role:"user",content:I}];t=`
+import base64
+
+# Helper function to encode images to base64
+def encode_image(image_path):
+    with open(image_path, "rb") as image_file:
+        return base64.b64encode(image_file.read()).decode('utf-8')
+
+# Example with text only
+response = client.responses.create(
+    model="${O}",
+    input=${JSON.stringify(a,null,4)}${i}
+)
+
+print(response.output_text)
+
+# Example with image or PDF (uncomment and provide file path to use)
+# base64_file = encode_image("path/to/your/file.jpg")  # or .pdf
+# response_with_file = client.responses.create(
+#     model="${O}",
+#     input=[
+#         {
+#             "role": "user",
+#             "content": [
+#                 {"type": "input_text", "text": "${E}"},
+#                 {
+#                     "type": "input_image",
+#                     "image_url": f"data:image/jpeg;base64,{base64_file}",  # or data:application/pdf;base64,{base64_file}
+#                 },
+#             ],
+#         }
+#     ]${i}
+# )
+# print(response_with_file.output_text)
+`;break}case o.IMAGE:t="azure"===A?`
+# NOTE: The Azure SDK does not have a direct equivalent to the multi-modal 'responses.create' method shown for OpenAI.
+# This snippet uses 'client.images.generate' and will create a new image based on your prompt.
+# It does not use the uploaded image, as 'client.images.generate' does not support image inputs in this context.
+import os
+import requests
+import json
+import time
+from PIL import Image
+
+result = client.images.generate(
+	model="${O}",
+	prompt="${n}",
+	n=1
+)
+
+json_response = json.loads(result.model_dump_json())
+
+# Set the directory for the stored image
+image_dir = os.path.join(os.curdir, 'images')
+
+# If the directory doesn't exist, create it
+if not os.path.isdir(image_dir):
+	os.mkdir(image_dir)
+
+# Initialize the image path
+image_filename = f"generated_image_{int(time.time())}.png"
+image_path = os.path.join(image_dir, image_filename)
+
+try:
+	# Retrieve the generated image
+	if json_response.get("data") && len(json_response["data"]) > 0 && json_response["data"][0].get("url"):
+			image_url = json_response["data"][0]["url"]
+			generated_image = requests.get(image_url).content
+			with open(image_path, "wb") as image_file:
+					image_file.write(generated_image)
+
+			print(f"Image saved to {image_path}")
+			# Display the image
+			image = Image.open(image_path)
+			image.show()
+	else:
+			print("Could not find image URL in response.")
+			print("Full response:", json_response)
+except Exception as e:
+	print(f"An error occurred: {e}")
+	print("Full response:", json_response)
+`:`
+import base64
+import os
+import time
+import json
+from PIL import Image
+import requests
+
+# Helper function to encode images to base64
+def encode_image(image_path):
+	with open(image_path, "rb") as image_file:
+			return base64.b64encode(image_file.read()).decode('utf-8')
+
+# Helper function to create a file (simplified for this example)
+def create_file(image_path):
+	# In a real implementation, this would upload the file to OpenAI
+	# For this example, we'll just return a placeholder ID
+	return f"file_{os.path.basename(image_path).replace('.', '_')}"
+
+# The prompt entered by the user
+prompt = "${E}"
+
+# Encode images to base64
+base64_image1 = encode_image("body-lotion.png")
+base64_image2 = encode_image("soap.png")
+
+# Create file IDs
+file_id1 = create_file("body-lotion.png")
+file_id2 = create_file("incense-kit.png")
+
+response = client.responses.create(
+	model="${O}",
+	input=[
+			{
+					"role": "user",
+					"content": [
+							{"type": "input_text", "text": prompt},
+							{
+									"type": "input_image",
+									"image_url": f"data:image/jpeg;base64,{base64_image1}",
+							},
+							{
+									"type": "input_image",
+									"image_url": f"data:image/jpeg;base64,{base64_image2}",
+							},
+							{
+									"type": "input_image",
+									"file_id": file_id1,
+							},
+							{
+									"type": "input_image",
+									"file_id": file_id2,
+							}
+					],
+			}
+	],
+	tools=[{"type": "image_generation"}],
+)
+
+# Process the response
+image_generation_calls = [
+	output
+	for output in response.output
+	if output.type == "image_generation_call"
+]
+
+image_data = [output.result for output in image_generation_calls]
+
+if image_data:
+	image_base64 = image_data[0]
+	image_filename = f"edited_image_{int(time.time())}.png"
+	with open(image_filename, "wb") as f:
+			f.write(base64.b64decode(image_base64))
+	print(f"Image saved to {image_filename}")
+else:
+	# If no image is generated, there might be a text response with an explanation
+	text_response = [output.text for output in response.output if hasattr(output, 'text')]
+	if text_response:
+			print("No image generated. Model response:")
+			print("\\n".join(text_response))
+	else:
+			print("No image data found in response.")
+	print("Full response for debugging:")
+	print(response)
+`;break;case o.IMAGE_EDITS:t="azure"===A?`
+import base64
+import os
+import time
+import json
+from PIL import Image
+import requests
+
+# Helper function to encode images to base64
+def encode_image(image_path):
+	with open(image_path, "rb") as image_file:
+			return base64.b64encode(image_file.read()).decode('utf-8')
+
+# The prompt entered by the user
+prompt = "${E}"
+
+# Encode images to base64
+base64_image1 = encode_image("body-lotion.png")
+base64_image2 = encode_image("soap.png")
+
+# Create file IDs
+file_id1 = create_file("body-lotion.png")
+file_id2 = create_file("incense-kit.png")
+
+response = client.responses.create(
+	model="${O}",
+	input=[
+			{
+					"role": "user",
+					"content": [
+							{"type": "input_text", "text": prompt},
+							{
+									"type": "input_image",
+									"image_url": f"data:image/jpeg;base64,{base64_image1}",
+							},
+							{
+									"type": "input_image",
+									"image_url": f"data:image/jpeg;base64,{base64_image2}",
+							},
+							{
+									"type": "input_image",
+									"file_id": file_id1,
+							},
+							{
+									"type": "input_image",
+									"file_id": file_id2,
+							}
+					],
+			}
+	],
+	tools=[{"type": "image_generation"}],
+)
+
+# Process the response
+image_generation_calls = [
+	output
+	for output in response.output
+	if output.type == "image_generation_call"
+]
+
+image_data = [output.result for output in image_generation_calls]
+
+if image_data:
+	image_base64 = image_data[0]
+	image_filename = f"edited_image_{int(time.time())}.png"
+	with open(image_filename, "wb") as f:
+			f.write(base64.b64decode(image_base64))
+	print(f"Image saved to {image_filename}")
+else:
+	# If no image is generated, there might be a text response with an explanation
+	text_response = [output.text for output in response.output if hasattr(output, 'text')]
+	if text_response:
+			print("No image generated. Model response:")
+			print("\\n".join(text_response))
+	else:
+			print("No image data found in response.")
+	print("Full response for debugging:")
+	print(response)
+`:`
+import base64
+import os
+import time
+
+# Helper function to encode images to base64
+def encode_image(image_path):
+	with open(image_path, "rb") as image_file:
+			return base64.b64encode(image_file.read()).decode('utf-8')
+
+# Helper function to create a file (simplified for this example)
+def create_file(image_path):
+	# In a real implementation, this would upload the file to OpenAI
+	# For this example, we'll just return a placeholder ID
+	return f"file_{os.path.basename(image_path).replace('.', '_')}"
+
+# The prompt entered by the user
+prompt = "${E}"
+
+# Encode images to base64
+base64_image1 = encode_image("body-lotion.png")
+base64_image2 = encode_image("soap.png")
+
+# Create file IDs
+file_id1 = create_file("body-lotion.png")
+file_id2 = create_file("incense-kit.png")
+
+response = client.responses.create(
+	model="${O}",
+	input=[
+			{
+					"role": "user",
+					"content": [
+							{"type": "input_text", "text": prompt},
+							{
+									"type": "input_image",
+									"image_url": f"data:image/jpeg;base64,{base64_image1}",
+							},
+							{
+									"type": "input_image",
+									"image_url": f"data:image/jpeg;base64,{base64_image2}",
+							},
+							{
+									"type": "input_image",
+									"file_id": file_id1,
+							},
+							{
+									"type": "input_image",
+									"file_id": file_id2,
+							}
+					],
+			}
+	],
+	tools=[{"type": "image_generation"}],
+)
+
+# Process the response
+image_generation_calls = [
+	output
+	for output in response.output
+	if output.type == "image_generation_call"
+]
+
+image_data = [output.result for output in image_generation_calls]
+
+if image_data:
+	image_base64 = image_data[0]
+	image_filename = f"edited_image_{int(time.time())}.png"
+	with open(image_filename, "wb") as f:
+			f.write(base64.b64decode(image_base64))
+	print(f"Image saved to {image_filename}")
+else:
+	# If no image is generated, there might be a text response with an explanation
+	text_response = [output.text for output in response.output if hasattr(output, 'text')]
+	if text_response:
+			print("No image generated. Model response:")
+			print("\\n".join(text_response))
+	else:
+			print("No image data found in response.")
+	print("Full response for debugging:")
+	print(response)
+`;break;case o.EMBEDDINGS:t=`
+response = client.embeddings.create(
+	input="${n||"Your string here"}",
+	model="${O}",
+	encoding_format="base64" # or "float"
+)
+
+print(response.data[0].embedding)
+`;break;case o.TRANSCRIPTION:t=`
+# Open the audio file
+audio_file = open("path/to/your/audio/file.mp3", "rb")
+
+# Make the transcription request
+response = client.audio.transcriptions.create(
+	model="${O}",
+	file=audio_file${n?`,
+	prompt="${n.replace(/\\/g,"\\\\").replace(/"/g,'\\"')}"`:""}
+)
+
+print(response.text)
+`;break;case o.SPEECH:t=`
+# Make the text-to-speech request
+response = client.audio.speech.create(
+	model="${O}",
+	input="${n||"Your text to convert to speech here"}",
+	voice="${f}"  # Options: alloy, ash, ballad, coral, echo, fable, nova, onyx, sage, shimmer
+)
+
+# Save the audio to a file
+output_filename = "output_speech.mp3"
+response.stream_to_file(output_filename)
+print(f"Audio saved to {output_filename}")
+
+# Optional: Customize response format and speed
+# response = client.audio.speech.create(
+#     model="${O}",
+#     input="${n||"Your text to convert to speech here"}",
+#     voice="alloy",
+#     response_format="mp3",  # Options: mp3, opus, aac, flac, wav, pcm
+#     speed=1.0  # Range: 0.25 to 4.0
+# )
+# response.stream_to_file("output_speech.mp3")
+`;break;default:t="\n# Code generation for this endpoint is not implemented yet."}return`${w}
+${t}`}],190272)},115571,e=>{"use strict";let t="local-storage-change";function i(e){window.dispatchEvent(new CustomEvent(t,{detail:{key:e}}))}function a(e){try{return window.localStorage.getItem(e)}catch(t){return console.warn(`Error reading localStorage key "${e}":`,t),null}}function o(e,t){try{window.localStorage.setItem(e,t)}catch(t){console.warn(`Error setting localStorage key "${e}":`,t)}}function r(e){try{window.localStorage.removeItem(e)}catch(t){console.warn(`Error removing localStorage key "${e}":`,t)}}e.s(["LOCAL_STORAGE_EVENT",0,t,"emitLocalStorageChange",()=>i,"getLocalStorageItem",()=>a,"removeLocalStorageItem",()=>r,"setLocalStorageItem",()=>o])},596239,e=>{"use strict";e.i(247167);var t=e.i(931067),i=e.i(271645);let a={icon:{tag:"svg",attrs:{viewBox:"64 64 896 896",focusable:"false"},children:[{tag:"path",attrs:{d:"M574 665.4a8.03 8.03 0 00-11.3 0L446.5 781.6c-53.8 53.8-144.6 59.5-204 0-59.5-59.5-53.8-150.2 0-204l116.2-116.2c3.1-3.1 3.1-8.2 0-11.3l-39.8-39.8a8.03 8.03 0 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diff --git a/litellm/proxy/_experimental/out/_next/static/chunks/7c36bfe1ba5e3ba8.js b/litellm/proxy/_experimental/out/_next/static/chunks/0c3e8651e0e97232.js
similarity index 63%
rename from litellm/proxy/_experimental/out/_next/static/chunks/7c36bfe1ba5e3ba8.js
rename to litellm/proxy/_experimental/out/_next/static/chunks/0c3e8651e0e97232.js
index 52b32d16f84..de6040bfaf4 100644
--- a/litellm/proxy/_experimental/out/_next/static/chunks/7c36bfe1ba5e3ba8.js
+++ b/litellm/proxy/_experimental/out/_next/static/chunks/0c3e8651e0e97232.js
@@ -1,4 +1,4 @@
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 client = openai.OpenAI(
     api_key="your_api_key",
@@ -6,7 +6,7 @@ client = openai.OpenAI(
 )
 
 response = client.chat.completions.create(
-    model="${E.model_group}",
+    model="${F.model_group}",
     messages=[
         {
             "role": "user",
@@ -15,14 +15,14 @@ response = client.chat.completions.create(
     ]
 )
 
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 import asyncio
 
 # Standard MCP configuration
 config = {
     "mcpServers": {
-        "${ev.server_name}": {
-            "url": "${(0,x.getProxyBaseUrl)()}/${ev.server_name}/mcp",
+        "${ey.server_name}": {
+            "url": "${(0,x.getProxyBaseUrl)()}/${ey.server_name}/mcp",
             "headers": {
                 "x-litellm-api-key": "Bearer sk-1234"
             }
@@ -47,4 +47,4 @@ async def main():
         print(f"Response: {response}")
 
 if __name__ == "__main__":
-    asyncio.run(main())`})]})]})}),(0,t.jsx)(y,{visible:W,onClose:()=>ea(!1),accessToken:e||"",modelHubData:_||[],onSuccess:()=>{e&&(async()=>{try{let t=await (0,x.modelHubCall)(e);M(t.data)}catch(e){console.error("Error refreshing model data:",e)}})()}}),(0,t.jsx)(p,{visible:ec,onClose:()=>eo(!1),accessToken:e||"",agentHubData:en||[],onSuccess:()=>{e&&(async()=>{try{let t=(await (0,x.getAgentsList)(e)).agents.map(e=>({agent_id:e.agent_id,...e.agent_card_params,is_public:e.is_public}));er(t)}catch(e){console.error("Error refreshing agent data:",e)}})()}}),(0,t.jsx)(b,{visible:ek,onClose:()=>e$(!1),accessToken:e||"",mcpHubData:eg||[],onSuccess:()=>{e&&(async()=>{try{let t=await (0,x.fetchMCPServers)(e);eb(t)}catch(e){console.error("Error refreshing MCP server data:",e)}})()}}),(0,t.jsx)(U,{visible:eP,onClose:()=>eM(!1),accessToken:e||"",skillsList:eT,onSuccess:async()=>{ew((await (0,x.getClaudeCodePluginsList)(e||"",!0===a)).plugins)}})]})}],934879)}]);
\ No newline at end of file
+    asyncio.run(main())`})]})]})}),(0,t.jsx)(y,{visible:ea,onClose:()=>en(!1),accessToken:e||"",modelHubData:M||[],onSuccess:()=>{e&&(async()=>{try{let t=await (0,x.modelHubCall)(e);I(t.data)}catch(e){console.error("Error refreshing model data:",e)}})()}}),(0,t.jsx)(p,{visible:eo,onClose:()=>ed(!1),accessToken:e||"",agentHubData:er||[],onSuccess:()=>{e&&(async()=>{try{let t=(await (0,x.getAgentsList)(e)).agents.map(e=>({agent_id:e.agent_id,...e.agent_card_params,is_public:e.is_public}));ec(t)}catch(e){console.error("Error refreshing agent data:",e)}})()}}),(0,t.jsx)(b,{visible:e$,onClose:()=>eT(!1),accessToken:e||"",mcpHubData:eb||[],onSuccess:()=>{e&&(async()=>{try{let t=await (0,x.fetchMCPServers)(e);ej(t)}catch(e){console.error("Error refreshing MCP server data:",e)}})()}}),(0,t.jsx)(U,{visible:eM,onClose:()=>eI(!1),accessToken:e||"",skillsList:ew,onSuccess:async()=>{eC((await (0,x.getClaudeCodePluginsList)(e||"",!0===a)).plugins)}})]})}],934879)}]);
\ No newline at end of file
diff --git a/litellm/proxy/_experimental/out/_next/static/chunks/eaa9f9b9bb3e054b.js b/litellm/proxy/_experimental/out/_next/static/chunks/0cdfadbcf4b8c9e4.js
similarity index 99%
rename from litellm/proxy/_experimental/out/_next/static/chunks/eaa9f9b9bb3e054b.js
rename to litellm/proxy/_experimental/out/_next/static/chunks/0cdfadbcf4b8c9e4.js
index 90c31ed55ea..e3a6771539f 100644
--- a/litellm/proxy/_experimental/out/_next/static/chunks/eaa9f9b9bb3e054b.js
+++ b/litellm/proxy/_experimental/out/_next/static/chunks/0cdfadbcf4b8c9e4.js
@@ -4,7 +4,7 @@ ${t}`)}return n})(tN);class tE extends tw{list(e={},t){let{betas:s,...r}=e??{};r
 Please migrate to a newer model. 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this._client.post("/v1/complete",{body:r,timeout:this._client._options.timeout??6e5,...t,headers:t_([{...s?.toString()!=null?{"anthropic-beta":s?.toString()}:void 0},t?.headers]),stream:e.stream??!1})}}let tW="__json_buf";function tz(e){return"tool_use"===e.type||"server_tool_use"===e.type}class tH{constructor(){P.add(this),this.messages=[],this.receivedMessages=[],O.set(this,void 0),this.controller=new AbortController,R.set(this,void 0),I.set(this,()=>{}),M.set(this,()=>{}),L.set(this,void 0),$.set(this,()=>{}),U.set(this,()=>{}),D.set(this,{}),B.set(this,!1),q.set(this,!1),W.set(this,!1),z.set(this,!1),H.set(this,void 0),F.set(this,void 0),V.set(this,e=>{if(e_(this,q,!0,"f"),eE(e)&&(e=new eP),e instanceof eP)return e_(this,W,!0,"f"),this._emit("abort",e);if(e instanceof eT)return this._emit("error",e);if(e instanceof Error){let t=new eT(e.message);return t.cause=e,this._emit("error",t)}return this._emit("error",new eT(String(e)))}),e_(this,R,new 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eT("stream has ended, this shouldn't happen");let e=eN(this,O,"f");if(!e)throw new eT("request ended without sending any chunks");return e_(this,O,void 0,"f"),e},Q=function(e){let t=eN(this,O,"f");if("message_start"===e.type){if(t)throw new eT(`Unexpected event order, got ${e.type} before receiving "message_stop"`);return e.message}if(!t)throw new eT(`Unexpected event order, got ${e.type} before "message_start"`);switch(e.type){case"message_stop":case"content_block_stop":return t;case"message_delta":return t.stop_reason=e.delta.stop_reason,t.stop_sequence=e.delta.stop_sequence,t.usage.output_tokens=e.usage.output_tokens,null!=e.usage.input_tokens&&(t.usage.input_tokens=e.usage.input_tokens),null!=e.usage.cache_creation_input_tokens&&(t.usage.cache_creation_input_tokens=e.usage.cache_creation_input_tokens),null!=e.usage.cache_read_input_tokens&&(t.usage.cache_read_input_tokens=e.usage.cache_read_input_tokens),null!=e.usage.server_tool_use&&(t.usage.server_tool_use=e.usage.server_tool_use),t;case"content_block_start":return t.content.push(e.content_block),t;case"content_block_delta":{let s=t.content.at(e.index);switch(e.delta.type){case"text_delta":s?.type==="text"&&(s.text+=e.delta.text);break;case"citations_delta":s?.type==="text"&&(s.citations??(s.citations=[]),s.citations.push(e.delta.citation));break;case"input_json_delta":if(s&&tz(s)){let 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globalThis.ReadableStream?{bodyHeaders:void 0,body:e}:"object"==typeof e&&(Symbol.asyncIterator in e||Symbol.iterator in e&&"next"in e&&"function"==typeof e.next)?{bodyHeaders:void 0,body:e4(e)}:eN(this,Z,"f").call(this,{body:e,headers:s})}}Z=new WeakMap,tY.Anthropic=tY,tY.HUMAN_PROMPT="\n\nHuman:",tY.AI_PROMPT="\n\nAssistant:",tY.DEFAULT_TIMEOUT=6e5,tY.AnthropicError=eT,tY.APIError=eA,tY.APIConnectionError=eO,tY.APIConnectionTimeoutError=eR,tY.APIUserAbortError=eP,tY.NotFoundError=e$,tY.ConflictError=eU,tY.RateLimitError=eB,tY.BadRequestError=eI,tY.AuthenticationError=eM,tY.InternalServerError=eq,tY.PermissionDeniedError=eL,tY.UnprocessableEntityError=eD,tY.toFile=tb;class tQ extends tY{constructor(){super(...arguments),this.completions=new tq(this),this.messages=new tG(this),this.models=new tK(this),this.beta=new tB(this)}}tQ.Completions=tq,tQ.Messages=tG,tQ.Models=tK,tQ.Beta=tB;let{HUMAN_PROMPT:tZ,AI_PROMPT:t0}=tQ;var t1=e.i(727749);async function 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new file mode 100644
index 00000000000..36fc247cdca
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diff --git a/litellm/proxy/_experimental/out/_next/static/chunks/0e6dadb6a51341b5.js b/litellm/proxy/_experimental/out/_next/static/chunks/0e6dadb6a51341b5.js
deleted file mode 100644
index 3fc4e79aa89..00000000000
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+++ /dev/null
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new file mode 100644
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new file mode 100644
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+  "api_key": "your_aporia_api_key",
+  "project_name": "your_project_name"
+}`})});case"AimSecurity":return(0,l.jsx)(r.Form.Item,{label:"Aim Security Configuration",name:"config",tooltip:"JSON configuration for Aim Security",children:(0,l.jsx)(i.Input.TextArea,{rows:4,placeholder:`{
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+}`})});case"Bedrock":return(0,l.jsx)(r.Form.Item,{label:"Amazon Bedrock Configuration",name:"config",tooltip:"JSON configuration for Amazon Bedrock guardrails",children:(0,l.jsx)(i.Input.TextArea,{rows:4,placeholder:`{
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+  "guardrail_version": "your_guardrail_version"
+}`})});case"GuardrailsAI":return(0,l.jsx)(r.Form.Item,{label:"Guardrails.ai Configuration",name:"config",tooltip:"JSON configuration for Guardrails.ai",children:(0,l.jsx)(i.Input.TextArea,{rows:4,placeholder:`{
+  "api_key": "your_guardrails_api_key",
+  "guardrail_id": "your_guardrail_id"
+}`})});case"LakeraAI":return(0,l.jsx)(r.Form.Item,{label:"Lakera AI Configuration",name:"config",tooltip:"JSON configuration for Lakera AI",children:(0,l.jsx)(i.Input.TextArea,{rows:4,placeholder:`{
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+}`})});case"PromptInjection":return(0,l.jsx)(r.Form.Item,{label:"Prompt Injection Configuration",name:"config",tooltip:"JSON configuration for prompt injection detection",children:(0,l.jsx)(i.Input.TextArea,{rows:4,placeholder:`{
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+}`})});default:return(0,l.jsx)(r.Form.Item,{label:"Custom Configuration",name:"config",tooltip:"JSON configuration for your custom guardrail",children:(0,l.jsx)(i.Input.TextArea,{rows:4,placeholder:`{
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+  "key2": "value2"
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deleted file mode 100644
index 7b990db084d..00000000000
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new file mode 100644
index 00000000000..5155fd8e62c
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+++ b/litellm/proxy/_experimental/out/_next/static/chunks/2888b590cf1e5a4a.js
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new file mode 100644
index 00000000000..151d8b69584
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diff --git a/litellm/proxy/_experimental/out/_next/static/chunks/b12bdf0901df004a.js b/litellm/proxy/_experimental/out/_next/static/chunks/3a35f4a4b0831887.js
similarity index 75%
rename from litellm/proxy/_experimental/out/_next/static/chunks/b12bdf0901df004a.js
rename to litellm/proxy/_experimental/out/_next/static/chunks/3a35f4a4b0831887.js
index 3557980fafc..9af34db3624 100644
--- a/litellm/proxy/_experimental/out/_next/static/chunks/b12bdf0901df004a.js
+++ b/litellm/proxy/_experimental/out/_next/static/chunks/3a35f4a4b0831887.js
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diff --git a/litellm/proxy/_experimental/out/_next/static/chunks/3c2d67ecf9619f2b.js b/litellm/proxy/_experimental/out/_next/static/chunks/3c2d67ecf9619f2b.js
new file mode 100644
index 00000000000..35fea2a91be
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+++ b/litellm/proxy/_experimental/out/_next/static/chunks/3c2d67ecf9619f2b.js
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new file mode 100644
index 00000000000..ff821671b10
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+++ b/litellm/proxy/_experimental/out/_next/static/chunks/3e917c79aadd945b.js
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+  "api_key": "your_aporia_api_key",
+  "project_name": "your_project_name"
+}`})});case"AimSecurity":return(0,l.jsx)(r.Form.Item,{label:"Aim Security Configuration",name:"config",tooltip:"JSON configuration for Aim Security",children:(0,l.jsx)(i.Input.TextArea,{rows:4,placeholder:`{
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+}`})});case"Bedrock":return(0,l.jsx)(r.Form.Item,{label:"Amazon Bedrock Configuration",name:"config",tooltip:"JSON configuration for Amazon Bedrock guardrails",children:(0,l.jsx)(i.Input.TextArea,{rows:4,placeholder:`{
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+  "guardrail_version": "your_guardrail_version"
+}`})});case"GuardrailsAI":return(0,l.jsx)(r.Form.Item,{label:"Guardrails.ai Configuration",name:"config",tooltip:"JSON configuration for Guardrails.ai",children:(0,l.jsx)(i.Input.TextArea,{rows:4,placeholder:`{
+  "api_key": "your_guardrails_api_key",
+  "guardrail_id": "your_guardrail_id"
+}`})});case"LakeraAI":return(0,l.jsx)(r.Form.Item,{label:"Lakera AI Configuration",name:"config",tooltip:"JSON configuration for Lakera AI",children:(0,l.jsx)(i.Input.TextArea,{rows:4,placeholder:`{
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+}`})});case"PromptInjection":return(0,l.jsx)(r.Form.Item,{label:"Prompt Injection Configuration",name:"config",tooltip:"JSON configuration for prompt injection detection",children:(0,l.jsx)(i.Input.TextArea,{rows:4,placeholder:`{
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+}`})});default:return(0,l.jsx)(r.Form.Item,{label:"Custom Configuration",name:"config",tooltip:"JSON configuration for your custom guardrail",children:(0,l.jsx)(i.Input.TextArea,{rows:4,placeholder:`{
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+  "key2": "value2"
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diff --git a/litellm/proxy/_experimental/out/_next/static/chunks/a230559fcabaea23.js b/litellm/proxy/_experimental/out/_next/static/chunks/406bbb9c89fee7ee.js
similarity index 99%
rename from litellm/proxy/_experimental/out/_next/static/chunks/a230559fcabaea23.js
rename to litellm/proxy/_experimental/out/_next/static/chunks/406bbb9c89fee7ee.js
index b1b0797563a..60a711ff227 100644
--- a/litellm/proxy/_experimental/out/_next/static/chunks/a230559fcabaea23.js
+++ b/litellm/proxy/_experimental/out/_next/static/chunks/406bbb9c89fee7ee.js
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eT("stream has ended, this shouldn't happen");let e=eN(this,O,"f");if(!e)throw new eT("request ended without sending any chunks");return e_(this,O,void 0,"f"),e},Q=function(e){let t=eN(this,O,"f");if("message_start"===e.type){if(t)throw new eT(`Unexpected event order, got ${e.type} before receiving "message_stop"`);return e.message}if(!t)throw new eT(`Unexpected event order, got ${e.type} before "message_start"`);switch(e.type){case"message_stop":case"content_block_stop":return t;case"message_delta":return t.stop_reason=e.delta.stop_reason,t.stop_sequence=e.delta.stop_sequence,t.usage.output_tokens=e.usage.output_tokens,null!=e.usage.input_tokens&&(t.usage.input_tokens=e.usage.input_tokens),null!=e.usage.cache_creation_input_tokens&&(t.usage.cache_creation_input_tokens=e.usage.cache_creation_input_tokens),null!=e.usage.cache_read_input_tokens&&(t.usage.cache_read_input_tokens=e.usage.cache_read_input_tokens),null!=e.usage.server_tool_use&&(t.usage.server_tool_use=e.usage.server_tool_use),t;case"content_block_start":return t.content.push(e.content_block),t;case"content_block_delta":{let s=t.content.at(e.index);switch(e.delta.type){case"text_delta":s?.type==="text"&&(s.text+=e.delta.text);break;case"citations_delta":s?.type==="text"&&(s.citations??(s.citations=[]),s.citations.push(e.delta.citation));break;case"input_json_delta":if(s&&tz(s)){let 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globalThis.ReadableStream?{bodyHeaders:void 0,body:e}:"object"==typeof e&&(Symbol.asyncIterator in e||Symbol.iterator in e&&"next"in e&&"function"==typeof e.next)?{bodyHeaders:void 0,body:e4(e)}:eN(this,Z,"f").call(this,{body:e,headers:s})}}Z=new WeakMap,tY.Anthropic=tY,tY.HUMAN_PROMPT="\n\nHuman:",tY.AI_PROMPT="\n\nAssistant:",tY.DEFAULT_TIMEOUT=6e5,tY.AnthropicError=eT,tY.APIError=eA,tY.APIConnectionError=eO,tY.APIConnectionTimeoutError=eR,tY.APIUserAbortError=eP,tY.NotFoundError=e$,tY.ConflictError=eU,tY.RateLimitError=eB,tY.BadRequestError=eI,tY.AuthenticationError=eM,tY.InternalServerError=eq,tY.PermissionDeniedError=eL,tY.UnprocessableEntityError=eD,tY.toFile=tb;class tQ extends tY{constructor(){super(...arguments),this.completions=new tq(this),this.messages=new tG(this),this.models=new tK(this),this.beta=new tB(this)}}tQ.Completions=tq,tQ.Messages=tG,tQ.Models=tK,tQ.Beta=tB;let{HUMAN_PROMPT:tZ,AI_PROMPT:t0}=tQ;var t1=e.i(727749);async function 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diff --git a/litellm/proxy/_experimental/out/_next/static/chunks/8908525d8a1d1a33.js b/litellm/proxy/_experimental/out/_next/static/chunks/426f2755d11d3697.js
similarity index 77%
rename from litellm/proxy/_experimental/out/_next/static/chunks/8908525d8a1d1a33.js
rename to litellm/proxy/_experimental/out/_next/static/chunks/426f2755d11d3697.js
index a3f28bfea47..6f55b3267c5 100644
--- a/litellm/proxy/_experimental/out/_next/static/chunks/8908525d8a1d1a33.js
+++ b/litellm/proxy/_experimental/out/_next/static/chunks/426f2755d11d3697.js
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 curl -X POST --location '<your_proxy_base_url>/end_user/new' \\
 
 -H 'Authorization: Bearer <your-master-key>' \\
@@ -35,4 +35,4 @@ completion = client.chat.completions.create(
   user="my-customer-id"
 )
 
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diff --git a/litellm/proxy/_experimental/out/_next/static/chunks/44fd25e5d70e1a25.js b/litellm/proxy/_experimental/out/_next/static/chunks/44fd25e5d70e1a25.js
deleted file mode 100644
index 968b4e1df86..00000000000
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deleted file mode 100644
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diff --git a/litellm/proxy/_experimental/out/_next/static/chunks/4b8dcb3ad5dfb8de.js b/litellm/proxy/_experimental/out/_next/static/chunks/4e06277331e725da.js
similarity index 78%
rename from litellm/proxy/_experimental/out/_next/static/chunks/4b8dcb3ad5dfb8de.js
rename to litellm/proxy/_experimental/out/_next/static/chunks/4e06277331e725da.js
index 7ff9074d893..e5481a9a48d 100644
--- a/litellm/proxy/_experimental/out/_next/static/chunks/4b8dcb3ad5dfb8de.js
+++ b/litellm/proxy/_experimental/out/_next/static/chunks/4e06277331e725da.js
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deleted file mode 100644
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diff --git a/litellm/proxy/_experimental/out/_next/static/chunks/3daef8922b68e600.js b/litellm/proxy/_experimental/out/_next/static/chunks/520f8fdc54fcd4f0.js
similarity index 77%
rename from litellm/proxy/_experimental/out/_next/static/chunks/3daef8922b68e600.js
rename to litellm/proxy/_experimental/out/_next/static/chunks/520f8fdc54fcd4f0.js
index d5645b7a285..bebc2610022 100644
--- a/litellm/proxy/_experimental/out/_next/static/chunks/3daef8922b68e600.js
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diff --git a/litellm/proxy/_experimental/out/_next/static/chunks/5b23ca2957db2e3d.js b/litellm/proxy/_experimental/out/_next/static/chunks/5b23ca2957db2e3d.js
deleted file mode 100644
index 13807db7e0e..00000000000
--- a/litellm/proxy/_experimental/out/_next/static/chunks/5b23ca2957db2e3d.js
+++ /dev/null
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diff --git a/litellm/proxy/_experimental/out/_next/static/chunks/4f6e5b838f18b8e6.js b/litellm/proxy/_experimental/out/_next/static/chunks/5ca32057c3affe38.js
similarity index 51%
rename from litellm/proxy/_experimental/out/_next/static/chunks/4f6e5b838f18b8e6.js
rename to litellm/proxy/_experimental/out/_next/static/chunks/5ca32057c3affe38.js
index d32437269cd..4898d7471cc 100644
--- a/litellm/proxy/_experimental/out/_next/static/chunks/4f6e5b838f18b8e6.js
+++ b/litellm/proxy/_experimental/out/_next/static/chunks/5ca32057c3affe38.js
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+  -H 'Content-Type: application/json' \\
+  -d '{
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S=(0,_.createQueryKeys)("budgets");var T=e.i(779241),M=e.i(677667),E=e.i(898667),I=e.i(130643),O=e.i(464571),A=e.i(212931),D=e.i(808613),B=e.i(28651),R=e.i(199133);let F=({isModalVisible:e,setIsModalVisible:l})=>{let[a]=D.Form.useForm(),r=(()=>{let{accessToken:e}=(0,N.default)(),t=(0,k.useQueryClient)();return(0,w.useMutation)({mutationFn:async t=>{if(!e)throw Error("Access token is required");return(0,C.budgetCreateCall)(e,t)},onSuccess:()=>{t.invalidateQueries({queryKey:S.all})}})})(),s=async e=>{try{j.default.info("Making API Call"),await r.mutateAsync(e),j.default.success("Budget Created"),a.resetFields(),l(!1)}catch(e){console.error("Error creating the budget:",e),j.default.fromBackend(`Error creating the budget: ${e}`)}};return(0,t.jsx)(A.Modal,{title:"Create 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+curl -X POST --location '<your_proxy_base_url>/end_user/new' \\
+
+-H 'Authorization: Bearer <your-master-key>' \\
+
+-H 'Content-Type: application/json' \\
+
+-d '{"user_id": "my-customer-id', "budget_id": "<BUDGET_ID>"}' # 👈 KEY CHANGE
+
+`,L=`
+curl -X POST --location '<your_proxy_base_url>/chat/completions' \\
+
+-H 'Authorization: Bearer <your-master-key>' \\
+
+-H 'Content-Type: application/json' \\
+
+-d '{
+  "model": "gpt-3.5-turbo',
+  "messages":[{"role": "user", "content": "Hey, how's it going?"}],
+  "user": "my-customer-id"
+}' # 👈 KEY CHANGE
+
+`,H=`from openai import OpenAI
+client = OpenAI(
+  base_url="<your_proxy_base_url>",
+  api_key="<your_proxy_key>"
+)
+
+completion = client.chat.completions.create(
+  model="gpt-3.5-turbo",
+  messages=[
+    {"role": "system", "content": "You are a helpful assistant."},
+    {"role": "user", "content": "Hello!"}
+  ],
+  user="my-customer-id"
+)
+
+print(completion.choices[0].message)`;var z=e.i(708347);e.s(["default",0,({accessToken:e})=>{let[_,T]=(0,x.useState)(!1),[M,E]=(0,x.useState)(!1),[I,O]=(0,x.useState)(null),[A,D]=(0,x.useState)(!1),{userRole:B}=(0,N.default)(),R=(0,z.isProxyAdminRole)(B??""),{data:V=[]}=(()=>{let{accessToken:e}=(0,N.default)();return(0,v.useQuery)({queryKey:S.list({}),queryFn:async()=>(await (0,C.getBudgetList)(e)??[]).filter(e=>null!=e),enabled:!!e})})(),U=(()=>{let{accessToken:e}=(0,N.default)(),t=(0,k.useQueryClient)();return(0,w.useMutation)({mutationFn:async t=>{if(!e)throw Error("Access token is required");return(0,C.budgetDeleteCall)(e,t)},onSuccess:()=>{t.invalidateQueries({queryKey:S.all})}})})(),q=async t=>{null!=e&&(O(t),E(!0))},W=async()=>{if(I&&null!=e)try{await U.mutateAsync(I.budget_id),j.default.success("Budget deleted.")}catch(e){console.error("Error deleting budget:",e),"function"==typeof j.default.fromBackend?j.default.fromBackend("Failed to delete budget"):j.default.info("Failed to delete budget")}finally{D(!1),O(null)}};return(0,t.jsxs)("div",{className:"w-full mx-auto flex-auto overflow-y-auto m-8 p-2",children:[R&&(0,t.jsx)(l.Button,{size:"sm",variant:"primary",className:"mb-2",onClick:()=>T(!0),children:"+ Create Budget"}),(0,t.jsxs)(s.TabGroup,{children:[(0,t.jsxs)(m.TabList,{children:[(0,t.jsx)(r.Tab,{children:"Budgets"}),(0,t.jsx)(r.Tab,{children:"Examples"})]}),(0,t.jsxs)(g.TabPanels,{children:[(0,t.jsx)(h.TabPanel,{children:(0,t.jsxs)("div",{className:"mt-6",children:[(0,t.jsx)(F,{isModalVisible:_,setIsModalVisible:T}),I&&(0,t.jsx)(P,{isModalVisible:M,setIsModalVisible:E,existingBudget:I}),(0,t.jsxs)(a.Card,{children:[(0,t.jsx)(p.Text,{children:"Create a budget to assign to customers."}),(0,t.jsxs)(n.Table,{children:[(0,t.jsx)(c.TableHead,{children:(0,t.jsxs)(u.TableRow,{children:[(0,t.jsx)(d.TableHeaderCell,{children:"Budget ID"}),(0,t.jsx)(d.TableHeaderCell,{children:"Max Budget"}),(0,t.jsx)(d.TableHeaderCell,{children:"TPM"}),(0,t.jsx)(d.TableHeaderCell,{children:"RPM"})]})}),(0,t.jsx)(i.TableBody,{children:V.slice().sort((e,t)=>new Date(t.updated_at).getTime()-new Date(e.updated_at).getTime()).map(e=>(0,t.jsxs)(u.TableRow,{children:[(0,t.jsx)(o.TableCell,{children:e.budget_id}),(0,t.jsx)(o.TableCell,{children:e.max_budget?e.max_budget:"n/a"}),(0,t.jsx)(o.TableCell,{children:e.tpm_limit?e.tpm_limit:"n/a"}),(0,t.jsx)(o.TableCell,{children:e.rpm_limit?e.rpm_limit:"n/a"}),R&&(0,t.jsxs)(t.Fragment,{children:[(0,t.jsx)(y.default,{variant:"Edit",tooltipText:"Edit budget",onClick:()=>q(e),dataTestId:"edit-budget-button"}),(0,t.jsx)(y.default,{variant:"Delete",tooltipText:"Delete budget",onClick:()=>{O(e),D(!0)},dataTestId:"delete-budget-button"})]})]},e.budget_id))})]})]}),(0,t.jsx)(b.default,{isOpen:A,title:"Delete Budget?",message:"Are you sure you want to delete this budget? 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new file mode 100644
index 00000000000..dedec1b41ba
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deleted file mode 100644
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diff --git a/litellm/proxy/_experimental/out/_next/static/chunks/6665fdc6e86f173a.js b/litellm/proxy/_experimental/out/_next/static/chunks/6665fdc6e86f173a.js
deleted file mode 100644
index 66718e84521..00000000000
--- a/litellm/proxy/_experimental/out/_next/static/chunks/6665fdc6e86f173a.js
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diff --git a/litellm/proxy/_experimental/out/_next/static/chunks/45249a290b3ea558.js b/litellm/proxy/_experimental/out/_next/static/chunks/703b445810a4c51f.js
similarity index 59%
rename from litellm/proxy/_experimental/out/_next/static/chunks/45249a290b3ea558.js
rename to litellm/proxy/_experimental/out/_next/static/chunks/703b445810a4c51f.js
index 71c3db7be3f..bfb47351360 100644
--- a/litellm/proxy/_experimental/out/_next/static/chunks/45249a290b3ea558.js
+++ b/litellm/proxy/_experimental/out/_next/static/chunks/703b445810a4c51f.js
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new file mode 100644
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diff --git a/litellm/proxy/_experimental/out/_next/static/chunks/7e2dbe0d25a79405.js b/litellm/proxy/_experimental/out/_next/static/chunks/7e2dbe0d25a79405.js
new file mode 100644
index 00000000000..8baf3460629
--- /dev/null
+++ b/litellm/proxy/_experimental/out/_next/static/chunks/7e2dbe0d25a79405.js
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deleted file mode 100644
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deleted file mode 100644
index 3f615522717..00000000000
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new file mode 100644
index 00000000000..293066df846
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diff --git a/litellm/proxy/_experimental/out/_next/static/chunks/6dc89cea942b737a.js b/litellm/proxy/_experimental/out/_next/static/chunks/844dee1ac01fba04.js
similarity index 68%
rename from litellm/proxy/_experimental/out/_next/static/chunks/6dc89cea942b737a.js
rename to litellm/proxy/_experimental/out/_next/static/chunks/844dee1ac01fba04.js
index 7b211d7cd1c..4ba5f0103f9 100644
--- a/litellm/proxy/_experimental/out/_next/static/chunks/6dc89cea942b737a.js
+++ b/litellm/proxy/_experimental/out/_next/static/chunks/844dee1ac01fba04.js
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diff --git a/litellm/proxy/_experimental/out/_next/static/chunks/2faf62c238d105eb.js b/litellm/proxy/_experimental/out/_next/static/chunks/8489ea6f0be86483.js
similarity index 79%
rename from litellm/proxy/_experimental/out/_next/static/chunks/2faf62c238d105eb.js
rename to litellm/proxy/_experimental/out/_next/static/chunks/8489ea6f0be86483.js
index d0cd211955e..c54ee592894 100644
--- a/litellm/proxy/_experimental/out/_next/static/chunks/2faf62c238d105eb.js
+++ b/litellm/proxy/_experimental/out/_next/static/chunks/8489ea6f0be86483.js
@@ -1 +1 @@
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diff --git a/litellm/proxy/_experimental/out/_next/static/chunks/7149faf92f484aca.js b/litellm/proxy/_experimental/out/_next/static/chunks/878832edb30e99a4.js
similarity index 62%
rename from litellm/proxy/_experimental/out/_next/static/chunks/7149faf92f484aca.js
rename to litellm/proxy/_experimental/out/_next/static/chunks/878832edb30e99a4.js
index 572cd39698a..e952d8d888e 100644
--- a/litellm/proxy/_experimental/out/_next/static/chunks/7149faf92f484aca.js
+++ b/litellm/proxy/_experimental/out/_next/static/chunks/878832edb30e99a4.js
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 client = openai.OpenAI(
     api_key="your_api_key",
@@ -6,7 +6,7 @@ client = openai.OpenAI(
 )
 
 response = client.chat.completions.create(
-    model="${E.model_group}",
+    model="${F.model_group}",
     messages=[
         {
             "role": "user",
@@ -15,14 +15,14 @@ response = client.chat.completions.create(
     ]
 )
 
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 import asyncio
 
 # Standard MCP configuration
 config = {
     "mcpServers": {
-        "${ev.server_name}": {
-            "url": "${(0,x.getProxyBaseUrl)()}/${ev.server_name}/mcp",
+        "${ey.server_name}": {
+            "url": "${(0,x.getProxyBaseUrl)()}/${ey.server_name}/mcp",
             "headers": {
                 "x-litellm-api-key": "Bearer sk-1234"
             }
@@ -47,4 +47,4 @@ async def main():
         print(f"Response: {response}")
 
 if __name__ == "__main__":
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new file mode 100644
index 00000000000..0d66f66d77a
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diff --git a/litellm/proxy/_experimental/out/_next/static/chunks/8c17e934bd227606.js b/litellm/proxy/_experimental/out/_next/static/chunks/8c17e934bd227606.js
new file mode 100644
index 00000000000..a06ab272f51
--- /dev/null
+++ b/litellm/proxy/_experimental/out/_next/static/chunks/8c17e934bd227606.js
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+    <!DOCTYPE html>
+    <html>
+    <head>
+      <title>Multi-Model Cost Estimate Report</title>
+      <style>
+        body {
+          font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif;
+          padding: 40px;
+          max-width: 900px;
+          margin: 0 auto;
+          color: #333;
+        }
+        h1 {
+          color: #1a1a1a;
+          border-bottom: 2px solid #1890ff;
+          padding-bottom: 10px;
+          margin-bottom: 30px;
+        }
+        h2 {
+          color: #444;
+          margin-top: 30px;
+          margin-bottom: 15px;
+        }
+        h3 {
+          color: #555;
+          margin-top: 25px;
+          margin-bottom: 10px;
+          padding-bottom: 5px;
+          border-bottom: 1px solid #eee;
+        }
+        .provider {
+          font-weight: normal;
+          color: #1890ff;
+          font-size: 14px;
+        }
+        .meta {
+          background: #f5f5f5;
+          padding: 12px 15px;
+          border-radius: 8px;
+          margin-bottom: 15px;
+          font-size: 13px;
+        }
+        .meta p {
+          margin: 4px 0;
+        }
+        table {
+          width: 100%;
+          border-collapse: collapse;
+          margin-bottom: 20px;
+        }
+        th, td {
+          padding: 10px 12px;
+          text-align: left;
+          border-bottom: 1px solid #ddd;
+        }
+        th {
+          background: #f8f9fa;
+          font-weight: 600;
+          font-size: 13px;
+        }
+        .cost-value {
+          font-family: monospace;
+          font-size: 13px;
+        }
+        .total-row {
+          font-weight: bold;
+          background: #e6f7ff;
+        }
+        .summary-box {
+          background: linear-gradient(135deg, #e6f7ff 0%, #f9f0ff 100%);
+          border: 1px solid #91d5ff;
+          border-radius: 8px;
+          padding: 20px;
+          margin-bottom: 30px;
+        }
+        .summary-box h2 {
+          margin-top: 0;
+          color: #1890ff;
+        }
+        .summary-grid {
+          display: grid;
+          grid-template-columns: repeat(3, 1fr);
+          gap: 20px;
+          margin-top: 15px;
+        }
+        .summary-item {
+          text-align: center;
+        }
+        .summary-item .label {
+          font-size: 12px;
+          color: #666;
+          margin-bottom: 5px;
+        }
+        .summary-item .value {
+          font-size: 20px;
+          font-weight: bold;
+          font-family: monospace;
+        }
+        .summary-item .value.blue { color: #1890ff; }
+        .summary-item .value.green { color: #52c41a; }
+        .summary-item .value.purple { color: #722ed1; }
+        .model-section {
+          margin-bottom: 30px;
+          page-break-inside: avoid;
+        }
+        .footer {
+          margin-top: 40px;
+          padding-top: 20px;
+          border-top: 1px solid #ddd;
+          font-size: 12px;
+          color: #666;
+        }
+        @media print {
+          body { padding: 20px; }
+          .model-section { page-break-inside: avoid; }
+        }
+      </style>
+    </head>
+    <body>
+      <h1>LLM Cost Estimate Report</h1>
+      <p style="color: #666; margin-top: -20px; margin-bottom: 30px;">${a} model${1!==a?"s":""} configured</p>
+      
+      <div class="summary-box">
+        <h2>Combined Totals</h2>
+        <div class="summary-grid">
+          <div class="summary-item">
+            <div class="label">Total Per Request</div>
+            <div class="value blue">${tL(e.totals.cost_per_request)}</div>
+          </div>
+          <div class="summary-item">
+            <div class="label">Total Daily</div>
+            <div class="value green">${tL(e.totals.daily_cost)}</div>
+          </div>
+          <div class="summary-item">
+            <div class="label">Total Monthly</div>
+            <div class="value purple">${tL(e.totals.monthly_cost)}</div>
+          </div>
+        </div>
+        ${e.totals.margin_per_request>0?`
+        <div class="summary-grid" style="margin-top: 15px; padding-top: 15px; border-top: 1px solid #ddd;">
+          <div class="summary-item">
+            <div class="label">Margin/Request</div>
+            <div class="value" style="color: #faad14;">${tL(e.totals.margin_per_request)}</div>
+          </div>
+          <div class="summary-item">
+            <div class="label">Daily Margin</div>
+            <div class="value" style="color: #faad14;">${tL(e.totals.daily_margin)}</div>
+          </div>
+          <div class="summary-item">
+            <div class="label">Monthly Margin</div>
+            <div class="value" style="color: #faad14;">${tL(e.totals.monthly_margin)}</div>
+          </div>
+        </div>
+        `:""}
+      </div>
+
+      <h2>Model Breakdown</h2>
+      ${s.map(e=>{let t;return t=e.result,`
+    <div class="model-section">
+      <h3>${t.model} ${t.provider?`<span class="provider">(${t.provider})</span>`:""}</h3>
+      
+      <div class="meta">
+        <p><strong>Input Tokens per Request:</strong> ${tM(t.input_tokens)}</p>
+        <p><strong>Output Tokens per Request:</strong> ${tM(t.output_tokens)}</p>
+        ${t.num_requests_per_day?`<p><strong>Requests per Day:</strong> ${tM(t.num_requests_per_day)}</p>`:""}
+        ${t.num_requests_per_month?`<p><strong>Requests per Month:</strong> ${tM(t.num_requests_per_month)}</p>`:""}
+      </div>
+
+      <table>
+        <tr>
+          <th>Cost Type</th>
+          <th>Per Request</th>
+          ${null!==t.daily_cost?"<th>Daily</th>":""}
+          ${null!==t.monthly_cost?"<th>Monthly</th>":""}
+        </tr>
+        <tr>
+          <td>Input Cost</td>
+          <td class="cost-value">${tL(t.input_cost_per_request)}</td>
+          ${null!==t.daily_cost?`<td class="cost-value">${tL(t.daily_input_cost)}</td>`:""}
+          ${null!==t.monthly_cost?`<td class="cost-value">${tL(t.monthly_input_cost)}</td>`:""}
+        </tr>
+        <tr>
+          <td>Output Cost</td>
+          <td class="cost-value">${tL(t.output_cost_per_request)}</td>
+          ${null!==t.daily_cost?`<td class="cost-value">${tL(t.daily_output_cost)}</td>`:""}
+          ${null!==t.monthly_cost?`<td class="cost-value">${tL(t.monthly_output_cost)}</td>`:""}
+        </tr>
+        <tr>
+          <td>Margin/Fee</td>
+          <td class="cost-value">${tL(t.margin_cost_per_request)}</td>
+          ${null!==t.daily_cost?`<td class="cost-value">${tL(t.daily_margin_cost)}</td>`:""}
+          ${null!==t.monthly_cost?`<td class="cost-value">${tL(t.monthly_margin_cost)}</td>`:""}
+        </tr>
+        <tr class="total-row">
+          <td>Total</td>
+          <td class="cost-value">${tL(t.cost_per_request)}</td>
+          ${null!==t.daily_cost?`<td class="cost-value">${tL(t.daily_cost)}</td>`:""}
+          ${null!==t.monthly_cost?`<td class="cost-value">${tL(t.monthly_cost)}</td>`:""}
+        </tr>
+      </table>
+    </div>
+  `}).join("")}
+
+      <div class="footer">
+        <p>Generated by LiteLLM Pricing Calculator on ${new Date().toLocaleString()}</p>
+      </div>
+    </body>
+    </html>
+  `;t.document.write(l),t.document.close(),t.onload=()=>{t.print()}})(e),a(!1)},children:[(0,t.jsx)(tC.FilePdfOutlined,{className:"mr-3 text-red-500"}),"Export as PDF"]}),(0,t.jsxs)("button",{className:"flex items-center w-full px-4 py-2 text-sm text-gray-700 hover:bg-gray-50 transition-colors",onClick:()=>{(e=>{let t=e.entries.filter(e=>null!==e.result),s=[["LLM Multi-Model Cost Estimate Report"],["Generated",new Date().toLocaleString()],[""]];for(let a of(s.push(["COMBINED TOTALS"],["Total Per Request",e.totals.cost_per_request.toString()],["Total Daily",e.totals.daily_cost?.toString()||"-"],["Total Monthly",e.totals.monthly_cost?.toString()||"-"],["Margin Per Request",e.totals.margin_per_request.toString()],["Daily Margin",e.totals.daily_margin?.toString()||"-"],["Monthly Margin",e.totals.monthly_margin?.toString()||"-"],[""]),s.push(["Model","Provider","Input Tokens","Output Tokens","Requests/Day","Requests/Month","Cost/Request","Daily Cost","Monthly Cost","Input Cost/Req","Output 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+
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+
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similarity index 76%
rename from litellm/proxy/_experimental/out/_next/static/chunks/58170e1c551aede4.js
rename to litellm/proxy/_experimental/out/_next/static/chunks/92516c9f878f0819.js
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diff --git a/litellm/proxy/_experimental/out/_next/static/chunks/7c797521435cb59c.js b/litellm/proxy/_experimental/out/_next/static/chunks/94f7208f5087e27c.js
similarity index 60%
rename from litellm/proxy/_experimental/out/_next/static/chunks/7c797521435cb59c.js
rename to litellm/proxy/_experimental/out/_next/static/chunks/94f7208f5087e27c.js
index bff700a17a3..5ef22befebd 100644
--- a/litellm/proxy/_experimental/out/_next/static/chunks/7c797521435cb59c.js
+++ b/litellm/proxy/_experimental/out/_next/static/chunks/94f7208f5087e27c.js
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new file mode 100644
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475.1z"}}]},name:"safety",theme:"outlined"};var o=e.i(9583),r=i.forwardRef(function(e,r){return i.createElement(o.default,(0,t.default)({},e,{ref:r,icon:a}))});e.s(["SafetyOutlined",0,r],602073)},190272,785913,e=>{"use strict";var t,i,a=((t={}).AUDIO_SPEECH="audio_speech",t.AUDIO_TRANSCRIPTION="audio_transcription",t.IMAGE_GENERATION="image_generation",t.VIDEO_GENERATION="video_generation",t.CHAT="chat",t.RESPONSES="responses",t.IMAGE_EDITS="image_edits",t.ANTHROPIC_MESSAGES="anthropic_messages",t.EMBEDDING="embedding",t),o=((i={}).IMAGE="image",i.VIDEO="video",i.CHAT="chat",i.RESPONSES="responses",i.IMAGE_EDITS="image_edits",i.ANTHROPIC_MESSAGES="anthropic_messages",i.EMBEDDINGS="embeddings",i.SPEECH="speech",i.TRANSCRIPTION="transcription",i.A2A_AGENTS="a2a_agents",i.MCP="mcp",i.REALTIME="realtime",i);let r={image_generation:"image",video_generation:"video",chat:"chat",responses:"responses",image_edits:"image_edits",anthropic_messages:"anthropic_messages",audio_speech:"speech",audio_transcription:"transcription",embedding:"embeddings"};e.s(["EndpointType",()=>o,"getEndpointType",0,e=>{if(console.log("getEndpointType:",e),Object.values(a).includes(e)){let t=r[e];return console.log("endpointType:",t),t}return"chat"}],785913),e.s(["generateCodeSnippet",0,e=>{let t,{apiKeySource:i,accessToken:a,apiKey:r,inputMessage:n,chatHistory:l,selectedTags:s,selectedVectorStores:c,selectedGuardrails:d,selectedPolicies:p,selectedMCPServers:u,mcpServers:g,mcpServerToolRestrictions:m,selectedVoice:f,endpointType:h,selectedModel:_,selectedSdk:v,proxySettings:A}=e,x="session"===i?a:r,b=window.location.origin,y=A?.LITELLM_UI_API_DOC_BASE_URL;y&&y.trim()?b=y:A?.PROXY_BASE_URL&&(b=A.PROXY_BASE_URL);let I=n||"Your prompt here",E=I.replace(/\\/g,"\\\\").replace(/"/g,'\\"').replace(/\n/g,"\\n"),w=l.filter(e=>!e.isImage).map(({role:e,content:t})=>({role:e,content:t})),C={};s.length>0&&(C.tags=s),c.length>0&&(C.vector_stores=c),d.length>0&&(C.guardrails=d),p.length>0&&(C.policies=p);let S=_||"your-model-name",O="azure"===v?`import openai
+
+client = openai.AzureOpenAI(
+	api_key="${x||"YOUR_LITELLM_API_KEY"}",
+	azure_endpoint="${b}",
+	api_version="2024-02-01"
+)`:`import openai
+
+client = openai.OpenAI(
+	api_key="${x||"YOUR_LITELLM_API_KEY"}",
+	base_url="${b}"
+)`;switch(h){case o.CHAT:{let e=Object.keys(C).length>0,i="";if(e){let e=JSON.stringify({metadata:C},null,2).split("\n").map(e=>" ".repeat(4)+e).join("\n").trim();i=`,
+    extra_body=${e}`}let a=w.length>0?w:[{role:"user",content:I}];t=`
+import base64
+
+# Helper function to encode images to base64
+def encode_image(image_path):
+    with open(image_path, "rb") as image_file:
+        return base64.b64encode(image_file.read()).decode('utf-8')
+
+# Example with text only
+response = client.chat.completions.create(
+    model="${S}",
+    messages=${JSON.stringify(a,null,4)}${i}
+)
+
+print(response)
+
+# Example with image or PDF (uncomment and provide file path to use)
+# base64_file = encode_image("path/to/your/file.jpg")  # or .pdf
+# response_with_file = client.chat.completions.create(
+#     model="${S}",
+#     messages=[
+#         {
+#             "role": "user",
+#             "content": [
+#                 {
+#                     "type": "text",
+#                     "text": "${E}"
+#                 },
+#                 {
+#                     "type": "image_url",
+#                     "image_url": {
+#                         "url": f"data:image/jpeg;base64,{base64_file}"  # or data:application/pdf;base64,{base64_file}
+#                     }
+#                 }
+#             ]
+#         }
+#     ]${i}
+# )
+# print(response_with_file)
+`;break}case o.RESPONSES:{let e=Object.keys(C).length>0,i="";if(e){let e=JSON.stringify({metadata:C},null,2).split("\n").map(e=>" ".repeat(4)+e).join("\n").trim();i=`,
+    extra_body=${e}`}let a=w.length>0?w:[{role:"user",content:I}];t=`
+import base64
+
+# Helper function to encode images to base64
+def encode_image(image_path):
+    with open(image_path, "rb") as image_file:
+        return base64.b64encode(image_file.read()).decode('utf-8')
+
+# Example with text only
+response = client.responses.create(
+    model="${S}",
+    input=${JSON.stringify(a,null,4)}${i}
+)
+
+print(response.output_text)
+
+# Example with image or PDF (uncomment and provide file path to use)
+# base64_file = encode_image("path/to/your/file.jpg")  # or .pdf
+# response_with_file = client.responses.create(
+#     model="${S}",
+#     input=[
+#         {
+#             "role": "user",
+#             "content": [
+#                 {"type": "input_text", "text": "${E}"},
+#                 {
+#                     "type": "input_image",
+#                     "image_url": f"data:image/jpeg;base64,{base64_file}",  # or data:application/pdf;base64,{base64_file}
+#                 },
+#             ],
+#         }
+#     ]${i}
+# )
+# print(response_with_file.output_text)
+`;break}case o.IMAGE:t="azure"===v?`
+# NOTE: The Azure SDK does not have a direct equivalent to the multi-modal 'responses.create' method shown for OpenAI.
+# This snippet uses 'client.images.generate' and will create a new image based on your prompt.
+# It does not use the uploaded image, as 'client.images.generate' does not support image inputs in this context.
+import os
+import requests
+import json
+import time
+from PIL import Image
+
+result = client.images.generate(
+	model="${S}",
+	prompt="${n}",
+	n=1
+)
+
+json_response = json.loads(result.model_dump_json())
+
+# Set the directory for the stored image
+image_dir = os.path.join(os.curdir, 'images')
+
+# If the directory doesn't exist, create it
+if not os.path.isdir(image_dir):
+	os.mkdir(image_dir)
+
+# Initialize the image path
+image_filename = f"generated_image_{int(time.time())}.png"
+image_path = os.path.join(image_dir, image_filename)
+
+try:
+	# Retrieve the generated image
+	if json_response.get("data") && len(json_response["data"]) > 0 && json_response["data"][0].get("url"):
+			image_url = json_response["data"][0]["url"]
+			generated_image = requests.get(image_url).content
+			with open(image_path, "wb") as image_file:
+					image_file.write(generated_image)
+
+			print(f"Image saved to {image_path}")
+			# Display the image
+			image = Image.open(image_path)
+			image.show()
+	else:
+			print("Could not find image URL in response.")
+			print("Full response:", json_response)
+except Exception as e:
+	print(f"An error occurred: {e}")
+	print("Full response:", json_response)
+`:`
+import base64
+import os
+import time
+import json
+from PIL import Image
+import requests
+
+# Helper function to encode images to base64
+def encode_image(image_path):
+	with open(image_path, "rb") as image_file:
+			return base64.b64encode(image_file.read()).decode('utf-8')
+
+# Helper function to create a file (simplified for this example)
+def create_file(image_path):
+	# In a real implementation, this would upload the file to OpenAI
+	# For this example, we'll just return a placeholder ID
+	return f"file_{os.path.basename(image_path).replace('.', '_')}"
+
+# The prompt entered by the user
+prompt = "${E}"
+
+# Encode images to base64
+base64_image1 = encode_image("body-lotion.png")
+base64_image2 = encode_image("soap.png")
+
+# Create file IDs
+file_id1 = create_file("body-lotion.png")
+file_id2 = create_file("incense-kit.png")
+
+response = client.responses.create(
+	model="${S}",
+	input=[
+			{
+					"role": "user",
+					"content": [
+							{"type": "input_text", "text": prompt},
+							{
+									"type": "input_image",
+									"image_url": f"data:image/jpeg;base64,{base64_image1}",
+							},
+							{
+									"type": "input_image",
+									"image_url": f"data:image/jpeg;base64,{base64_image2}",
+							},
+							{
+									"type": "input_image",
+									"file_id": file_id1,
+							},
+							{
+									"type": "input_image",
+									"file_id": file_id2,
+							}
+					],
+			}
+	],
+	tools=[{"type": "image_generation"}],
+)
+
+# Process the response
+image_generation_calls = [
+	output
+	for output in response.output
+	if output.type == "image_generation_call"
+]
+
+image_data = [output.result for output in image_generation_calls]
+
+if image_data:
+	image_base64 = image_data[0]
+	image_filename = f"edited_image_{int(time.time())}.png"
+	with open(image_filename, "wb") as f:
+			f.write(base64.b64decode(image_base64))
+	print(f"Image saved to {image_filename}")
+else:
+	# If no image is generated, there might be a text response with an explanation
+	text_response = [output.text for output in response.output if hasattr(output, 'text')]
+	if text_response:
+			print("No image generated. Model response:")
+			print("\\n".join(text_response))
+	else:
+			print("No image data found in response.")
+	print("Full response for debugging:")
+	print(response)
+`;break;case o.IMAGE_EDITS:t="azure"===v?`
+import base64
+import os
+import time
+import json
+from PIL import Image
+import requests
+
+# Helper function to encode images to base64
+def encode_image(image_path):
+	with open(image_path, "rb") as image_file:
+			return base64.b64encode(image_file.read()).decode('utf-8')
+
+# The prompt entered by the user
+prompt = "${E}"
+
+# Encode images to base64
+base64_image1 = encode_image("body-lotion.png")
+base64_image2 = encode_image("soap.png")
+
+# Create file IDs
+file_id1 = create_file("body-lotion.png")
+file_id2 = create_file("incense-kit.png")
+
+response = client.responses.create(
+	model="${S}",
+	input=[
+			{
+					"role": "user",
+					"content": [
+							{"type": "input_text", "text": prompt},
+							{
+									"type": "input_image",
+									"image_url": f"data:image/jpeg;base64,{base64_image1}",
+							},
+							{
+									"type": "input_image",
+									"image_url": f"data:image/jpeg;base64,{base64_image2}",
+							},
+							{
+									"type": "input_image",
+									"file_id": file_id1,
+							},
+							{
+									"type": "input_image",
+									"file_id": file_id2,
+							}
+					],
+			}
+	],
+	tools=[{"type": "image_generation"}],
+)
+
+# Process the response
+image_generation_calls = [
+	output
+	for output in response.output
+	if output.type == "image_generation_call"
+]
+
+image_data = [output.result for output in image_generation_calls]
+
+if image_data:
+	image_base64 = image_data[0]
+	image_filename = f"edited_image_{int(time.time())}.png"
+	with open(image_filename, "wb") as f:
+			f.write(base64.b64decode(image_base64))
+	print(f"Image saved to {image_filename}")
+else:
+	# If no image is generated, there might be a text response with an explanation
+	text_response = [output.text for output in response.output if hasattr(output, 'text')]
+	if text_response:
+			print("No image generated. Model response:")
+			print("\\n".join(text_response))
+	else:
+			print("No image data found in response.")
+	print("Full response for debugging:")
+	print(response)
+`:`
+import base64
+import os
+import time
+
+# Helper function to encode images to base64
+def encode_image(image_path):
+	with open(image_path, "rb") as image_file:
+			return base64.b64encode(image_file.read()).decode('utf-8')
+
+# Helper function to create a file (simplified for this example)
+def create_file(image_path):
+	# In a real implementation, this would upload the file to OpenAI
+	# For this example, we'll just return a placeholder ID
+	return f"file_{os.path.basename(image_path).replace('.', '_')}"
+
+# The prompt entered by the user
+prompt = "${E}"
+
+# Encode images to base64
+base64_image1 = encode_image("body-lotion.png")
+base64_image2 = encode_image("soap.png")
+
+# Create file IDs
+file_id1 = create_file("body-lotion.png")
+file_id2 = create_file("incense-kit.png")
+
+response = client.responses.create(
+	model="${S}",
+	input=[
+			{
+					"role": "user",
+					"content": [
+							{"type": "input_text", "text": prompt},
+							{
+									"type": "input_image",
+									"image_url": f"data:image/jpeg;base64,{base64_image1}",
+							},
+							{
+									"type": "input_image",
+									"image_url": f"data:image/jpeg;base64,{base64_image2}",
+							},
+							{
+									"type": "input_image",
+									"file_id": file_id1,
+							},
+							{
+									"type": "input_image",
+									"file_id": file_id2,
+							}
+					],
+			}
+	],
+	tools=[{"type": "image_generation"}],
+)
+
+# Process the response
+image_generation_calls = [
+	output
+	for output in response.output
+	if output.type == "image_generation_call"
+]
+
+image_data = [output.result for output in image_generation_calls]
+
+if image_data:
+	image_base64 = image_data[0]
+	image_filename = f"edited_image_{int(time.time())}.png"
+	with open(image_filename, "wb") as f:
+			f.write(base64.b64decode(image_base64))
+	print(f"Image saved to {image_filename}")
+else:
+	# If no image is generated, there might be a text response with an explanation
+	text_response = [output.text for output in response.output if hasattr(output, 'text')]
+	if text_response:
+			print("No image generated. Model response:")
+			print("\\n".join(text_response))
+	else:
+			print("No image data found in response.")
+	print("Full response for debugging:")
+	print(response)
+`;break;case o.EMBEDDINGS:t=`
+response = client.embeddings.create(
+	input="${n||"Your string here"}",
+	model="${S}",
+	encoding_format="base64" # or "float"
+)
+
+print(response.data[0].embedding)
+`;break;case o.TRANSCRIPTION:t=`
+# Open the audio file
+audio_file = open("path/to/your/audio/file.mp3", "rb")
+
+# Make the transcription request
+response = client.audio.transcriptions.create(
+	model="${S}",
+	file=audio_file${n?`,
+	prompt="${n.replace(/\\/g,"\\\\").replace(/"/g,'\\"')}"`:""}
+)
+
+print(response.text)
+`;break;case o.SPEECH:t=`
+# Make the text-to-speech request
+response = client.audio.speech.create(
+	model="${S}",
+	input="${n||"Your text to convert to speech here"}",
+	voice="${f}"  # Options: alloy, ash, ballad, coral, echo, fable, nova, onyx, sage, shimmer
+)
+
+# Save the audio to a file
+output_filename = "output_speech.mp3"
+response.stream_to_file(output_filename)
+print(f"Audio saved to {output_filename}")
+
+# Optional: Customize response format and speed
+# response = client.audio.speech.create(
+#     model="${S}",
+#     input="${n||"Your text to convert to speech here"}",
+#     voice="alloy",
+#     response_format="mp3",  # Options: mp3, opus, aac, flac, wav, pcm
+#     speed=1.0  # Range: 0.25 to 4.0
+# )
+# response.stream_to_file("output_speech.mp3")
+`;break;default:t="\n# Code generation for this endpoint is not implemented yet."}return`${O}
+${t}`}],190272)},115571,e=>{"use strict";let t="local-storage-change";function i(e){window.dispatchEvent(new CustomEvent(t,{detail:{key:e}}))}function a(e){try{return window.localStorage.getItem(e)}catch(t){return console.warn(`Error reading localStorage key "${e}":`,t),null}}function o(e,t){try{window.localStorage.setItem(e,t)}catch(t){console.warn(`Error setting localStorage key "${e}":`,t)}}function r(e){try{window.localStorage.removeItem(e)}catch(t){console.warn(`Error removing localStorage key "${e}":`,t)}}e.s(["LOCAL_STORAGE_EVENT",0,t,"emitLocalStorageChange",()=>i,"getLocalStorageItem",()=>a,"removeLocalStorageItem",()=>r,"setLocalStorageItem",()=>o])},596239,e=>{"use strict";e.i(247167);var t=e.i(931067),i=e.i(271645);let a={icon:{tag:"svg",attrs:{viewBox:"64 64 896 896",focusable:"false"},children:[{tag:"path",attrs:{d:"M574 665.4a8.03 8.03 0 00-11.3 0L446.5 781.6c-53.8 53.8-144.6 59.5-204 0-59.5-59.5-53.8-150.2 0-204l116.2-116.2c3.1-3.1 3.1-8.2 0-11.3l-39.8-39.8a8.03 8.03 0 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diff --git a/litellm/proxy/_experimental/out/_next/static/chunks/eabd1c9341cacb49.js b/litellm/proxy/_experimental/out/_next/static/chunks/9fbdf10b9cf445d9.js
similarity index 76%
rename from litellm/proxy/_experimental/out/_next/static/chunks/eabd1c9341cacb49.js
rename to litellm/proxy/_experimental/out/_next/static/chunks/9fbdf10b9cf445d9.js
index 3669bf00c77..15b640d36d2 100644
--- a/litellm/proxy/_experimental/out/_next/static/chunks/eabd1c9341cacb49.js
+++ b/litellm/proxy/_experimental/out/_next/static/chunks/9fbdf10b9cf445d9.js
@@ -5,4 +5,4 @@
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         ${o},
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deleted file mode 100644
index 286f4187768..00000000000
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t,i,a=((t={}).AUDIO_SPEECH="audio_speech",t.AUDIO_TRANSCRIPTION="audio_transcription",t.IMAGE_GENERATION="image_generation",t.VIDEO_GENERATION="video_generation",t.CHAT="chat",t.RESPONSES="responses",t.IMAGE_EDITS="image_edits",t.ANTHROPIC_MESSAGES="anthropic_messages",t.EMBEDDING="embedding",t),r=((i={}).IMAGE="image",i.VIDEO="video",i.CHAT="chat",i.RESPONSES="responses",i.IMAGE_EDITS="image_edits",i.ANTHROPIC_MESSAGES="anthropic_messages",i.EMBEDDINGS="embeddings",i.SPEECH="speech",i.TRANSCRIPTION="transcription",i.A2A_AGENTS="a2a_agents",i.MCP="mcp",i.REALTIME="realtime",i);let o={image_generation:"image",video_generation:"video",chat:"chat",responses:"responses",image_edits:"image_edits",anthropic_messages:"anthropic_messages",audio_speech:"speech",audio_transcription:"transcription",embedding:"embeddings"};e.s(["EndpointType",()=>r,"getEndpointType",0,e=>{if(console.log("getEndpointType:",e),Object.values(a).includes(e)){let t=o[e];return console.log("endpointType:",t),t}return"chat"}],785913),e.s(["generateCodeSnippet",0,e=>{let t,{apiKeySource:i,accessToken:a,apiKey:o,inputMessage:n,chatHistory:l,selectedTags:s,selectedVectorStores:d,selectedGuardrails:c,selectedPolicies:p,selectedMCPServers:u,mcpServers:g,mcpServerToolRestrictions:m,selectedVoice:f,endpointType:h,selectedModel:_,selectedSdk:x,proxySettings:v}=e,b="session"===i?a:o,A=window.location.origin,y=v?.LITELLM_UI_API_DOC_BASE_URL;y&&y.trim()?A=y:v?.PROXY_BASE_URL&&(A=v.PROXY_BASE_URL);let I=n||"Your prompt here",w=I.replace(/\\/g,"\\\\").replace(/"/g,'\\"').replace(/\n/g,"\\n"),E=l.filter(e=>!e.isImage).map(({role:e,content:t})=>({role:e,content:t})),C={};s.length>0&&(C.tags=s),d.length>0&&(C.vector_stores=d),c.length>0&&(C.guardrails=c),p.length>0&&(C.policies=p);let S=_||"your-model-name",O="azure"===x?`import openai
-
-client = openai.AzureOpenAI(
-	api_key="${b||"YOUR_LITELLM_API_KEY"}",
-	azure_endpoint="${A}",
-	api_version="2024-02-01"
-)`:`import openai
-
-client = openai.OpenAI(
-	api_key="${b||"YOUR_LITELLM_API_KEY"}",
-	base_url="${A}"
-)`;switch(h){case r.CHAT:{let e=Object.keys(C).length>0,i="";if(e){let e=JSON.stringify({metadata:C},null,2).split("\n").map(e=>" ".repeat(4)+e).join("\n").trim();i=`,
-    extra_body=${e}`}let a=E.length>0?E:[{role:"user",content:I}];t=`
-import base64
-
-# Helper function to encode images to base64
-def encode_image(image_path):
-    with open(image_path, "rb") as image_file:
-        return base64.b64encode(image_file.read()).decode('utf-8')
-
-# Example with text only
-response = client.chat.completions.create(
-    model="${S}",
-    messages=${JSON.stringify(a,null,4)}${i}
-)
-
-print(response)
-
-# Example with image or PDF (uncomment and provide file path to use)
-# base64_file = encode_image("path/to/your/file.jpg")  # or .pdf
-# response_with_file = client.chat.completions.create(
-#     model="${S}",
-#     messages=[
-#         {
-#             "role": "user",
-#             "content": [
-#                 {
-#                     "type": "text",
-#                     "text": "${w}"
-#                 },
-#                 {
-#                     "type": "image_url",
-#                     "image_url": {
-#                         "url": f"data:image/jpeg;base64,{base64_file}"  # or data:application/pdf;base64,{base64_file}
-#                     }
-#                 }
-#             ]
-#         }
-#     ]${i}
-# )
-# print(response_with_file)
-`;break}case r.RESPONSES:{let e=Object.keys(C).length>0,i="";if(e){let e=JSON.stringify({metadata:C},null,2).split("\n").map(e=>" ".repeat(4)+e).join("\n").trim();i=`,
-    extra_body=${e}`}let a=E.length>0?E:[{role:"user",content:I}];t=`
-import base64
-
-# Helper function to encode images to base64
-def encode_image(image_path):
-    with open(image_path, "rb") as image_file:
-        return base64.b64encode(image_file.read()).decode('utf-8')
-
-# Example with text only
-response = client.responses.create(
-    model="${S}",
-    input=${JSON.stringify(a,null,4)}${i}
-)
-
-print(response.output_text)
-
-# Example with image or PDF (uncomment and provide file path to use)
-# base64_file = encode_image("path/to/your/file.jpg")  # or .pdf
-# response_with_file = client.responses.create(
-#     model="${S}",
-#     input=[
-#         {
-#             "role": "user",
-#             "content": [
-#                 {"type": "input_text", "text": "${w}"},
-#                 {
-#                     "type": "input_image",
-#                     "image_url": f"data:image/jpeg;base64,{base64_file}",  # or data:application/pdf;base64,{base64_file}
-#                 },
-#             ],
-#         }
-#     ]${i}
-# )
-# print(response_with_file.output_text)
-`;break}case r.IMAGE:t="azure"===x?`
-# NOTE: The Azure SDK does not have a direct equivalent to the multi-modal 'responses.create' method shown for OpenAI.
-# This snippet uses 'client.images.generate' and will create a new image based on your prompt.
-# It does not use the uploaded image, as 'client.images.generate' does not support image inputs in this context.
-import os
-import requests
-import json
-import time
-from PIL import Image
-
-result = client.images.generate(
-	model="${S}",
-	prompt="${n}",
-	n=1
-)
-
-json_response = json.loads(result.model_dump_json())
-
-# Set the directory for the stored image
-image_dir = os.path.join(os.curdir, 'images')
-
-# If the directory doesn't exist, create it
-if not os.path.isdir(image_dir):
-	os.mkdir(image_dir)
-
-# Initialize the image path
-image_filename = f"generated_image_{int(time.time())}.png"
-image_path = os.path.join(image_dir, image_filename)
-
-try:
-	# Retrieve the generated image
-	if json_response.get("data") && len(json_response["data"]) > 0 && json_response["data"][0].get("url"):
-			image_url = json_response["data"][0]["url"]
-			generated_image = requests.get(image_url).content
-			with open(image_path, "wb") as image_file:
-					image_file.write(generated_image)
-
-			print(f"Image saved to {image_path}")
-			# Display the image
-			image = Image.open(image_path)
-			image.show()
-	else:
-			print("Could not find image URL in response.")
-			print("Full response:", json_response)
-except Exception as e:
-	print(f"An error occurred: {e}")
-	print("Full response:", json_response)
-`:`
-import base64
-import os
-import time
-import json
-from PIL import Image
-import requests
-
-# Helper function to encode images to base64
-def encode_image(image_path):
-	with open(image_path, "rb") as image_file:
-			return base64.b64encode(image_file.read()).decode('utf-8')
-
-# Helper function to create a file (simplified for this example)
-def create_file(image_path):
-	# In a real implementation, this would upload the file to OpenAI
-	# For this example, we'll just return a placeholder ID
-	return f"file_{os.path.basename(image_path).replace('.', '_')}"
-
-# The prompt entered by the user
-prompt = "${w}"
-
-# Encode images to base64
-base64_image1 = encode_image("body-lotion.png")
-base64_image2 = encode_image("soap.png")
-
-# Create file IDs
-file_id1 = create_file("body-lotion.png")
-file_id2 = create_file("incense-kit.png")
-
-response = client.responses.create(
-	model="${S}",
-	input=[
-			{
-					"role": "user",
-					"content": [
-							{"type": "input_text", "text": prompt},
-							{
-									"type": "input_image",
-									"image_url": f"data:image/jpeg;base64,{base64_image1}",
-							},
-							{
-									"type": "input_image",
-									"image_url": f"data:image/jpeg;base64,{base64_image2}",
-							},
-							{
-									"type": "input_image",
-									"file_id": file_id1,
-							},
-							{
-									"type": "input_image",
-									"file_id": file_id2,
-							}
-					],
-			}
-	],
-	tools=[{"type": "image_generation"}],
-)
-
-# Process the response
-image_generation_calls = [
-	output
-	for output in response.output
-	if output.type == "image_generation_call"
-]
-
-image_data = [output.result for output in image_generation_calls]
-
-if image_data:
-	image_base64 = image_data[0]
-	image_filename = f"edited_image_{int(time.time())}.png"
-	with open(image_filename, "wb") as f:
-			f.write(base64.b64decode(image_base64))
-	print(f"Image saved to {image_filename}")
-else:
-	# If no image is generated, there might be a text response with an explanation
-	text_response = [output.text for output in response.output if hasattr(output, 'text')]
-	if text_response:
-			print("No image generated. Model response:")
-			print("\\n".join(text_response))
-	else:
-			print("No image data found in response.")
-	print("Full response for debugging:")
-	print(response)
-`;break;case r.IMAGE_EDITS:t="azure"===x?`
-import base64
-import os
-import time
-import json
-from PIL import Image
-import requests
-
-# Helper function to encode images to base64
-def encode_image(image_path):
-	with open(image_path, "rb") as image_file:
-			return base64.b64encode(image_file.read()).decode('utf-8')
-
-# The prompt entered by the user
-prompt = "${w}"
-
-# Encode images to base64
-base64_image1 = encode_image("body-lotion.png")
-base64_image2 = encode_image("soap.png")
-
-# Create file IDs
-file_id1 = create_file("body-lotion.png")
-file_id2 = create_file("incense-kit.png")
-
-response = client.responses.create(
-	model="${S}",
-	input=[
-			{
-					"role": "user",
-					"content": [
-							{"type": "input_text", "text": prompt},
-							{
-									"type": "input_image",
-									"image_url": f"data:image/jpeg;base64,{base64_image1}",
-							},
-							{
-									"type": "input_image",
-									"image_url": f"data:image/jpeg;base64,{base64_image2}",
-							},
-							{
-									"type": "input_image",
-									"file_id": file_id1,
-							},
-							{
-									"type": "input_image",
-									"file_id": file_id2,
-							}
-					],
-			}
-	],
-	tools=[{"type": "image_generation"}],
-)
-
-# Process the response
-image_generation_calls = [
-	output
-	for output in response.output
-	if output.type == "image_generation_call"
-]
-
-image_data = [output.result for output in image_generation_calls]
-
-if image_data:
-	image_base64 = image_data[0]
-	image_filename = f"edited_image_{int(time.time())}.png"
-	with open(image_filename, "wb") as f:
-			f.write(base64.b64decode(image_base64))
-	print(f"Image saved to {image_filename}")
-else:
-	# If no image is generated, there might be a text response with an explanation
-	text_response = [output.text for output in response.output if hasattr(output, 'text')]
-	if text_response:
-			print("No image generated. Model response:")
-			print("\\n".join(text_response))
-	else:
-			print("No image data found in response.")
-	print("Full response for debugging:")
-	print(response)
-`:`
-import base64
-import os
-import time
-
-# Helper function to encode images to base64
-def encode_image(image_path):
-	with open(image_path, "rb") as image_file:
-			return base64.b64encode(image_file.read()).decode('utf-8')
-
-# Helper function to create a file (simplified for this example)
-def create_file(image_path):
-	# In a real implementation, this would upload the file to OpenAI
-	# For this example, we'll just return a placeholder ID
-	return f"file_{os.path.basename(image_path).replace('.', '_')}"
-
-# The prompt entered by the user
-prompt = "${w}"
-
-# Encode images to base64
-base64_image1 = encode_image("body-lotion.png")
-base64_image2 = encode_image("soap.png")
-
-# Create file IDs
-file_id1 = create_file("body-lotion.png")
-file_id2 = create_file("incense-kit.png")
-
-response = client.responses.create(
-	model="${S}",
-	input=[
-			{
-					"role": "user",
-					"content": [
-							{"type": "input_text", "text": prompt},
-							{
-									"type": "input_image",
-									"image_url": f"data:image/jpeg;base64,{base64_image1}",
-							},
-							{
-									"type": "input_image",
-									"image_url": f"data:image/jpeg;base64,{base64_image2}",
-							},
-							{
-									"type": "input_image",
-									"file_id": file_id1,
-							},
-							{
-									"type": "input_image",
-									"file_id": file_id2,
-							}
-					],
-			}
-	],
-	tools=[{"type": "image_generation"}],
-)
-
-# Process the response
-image_generation_calls = [
-	output
-	for output in response.output
-	if output.type == "image_generation_call"
-]
-
-image_data = [output.result for output in image_generation_calls]
-
-if image_data:
-	image_base64 = image_data[0]
-	image_filename = f"edited_image_{int(time.time())}.png"
-	with open(image_filename, "wb") as f:
-			f.write(base64.b64decode(image_base64))
-	print(f"Image saved to {image_filename}")
-else:
-	# If no image is generated, there might be a text response with an explanation
-	text_response = [output.text for output in response.output if hasattr(output, 'text')]
-	if text_response:
-			print("No image generated. Model response:")
-			print("\\n".join(text_response))
-	else:
-			print("No image data found in response.")
-	print("Full response for debugging:")
-	print(response)
-`;break;case r.EMBEDDINGS:t=`
-response = client.embeddings.create(
-	input="${n||"Your string here"}",
-	model="${S}",
-	encoding_format="base64" # or "float"
-)
-
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-`;break;case r.TRANSCRIPTION:t=`
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-)
-
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-)
-
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-
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-# response = client.audio.speech.create(
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-#     input="${n||"Your text to convert to speech here"}",
-#     voice="alloy",
-#     response_format="mp3",  # Options: mp3, opus, aac, flac, wav, pcm
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-# )
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diff --git a/litellm/proxy/_experimental/out/_next/static/chunks/aa7c40f46cb1b417.js b/litellm/proxy/_experimental/out/_next/static/chunks/aa7c40f46cb1b417.js
deleted file mode 100644
index 4548f2db264..00000000000
--- a/litellm/proxy/_experimental/out/_next/static/chunks/aa7c40f46cb1b417.js
+++ /dev/null
@@ -1,420 +0,0 @@
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-
-client = openai.AzureOpenAI(
-	api_key="${v||"YOUR_LITELLM_API_KEY"}",
-	azure_endpoint="${x}",
-	api_version="2024-02-01"
-)`:`import openai
-
-client = openai.OpenAI(
-	api_key="${v||"YOUR_LITELLM_API_KEY"}",
-	base_url="${x}"
-)`;switch(h){case o.CHAT:{let e=Object.keys(S).length>0,i="";if(e){let e=JSON.stringify({metadata:S},null,2).split("\n").map(e=>" ".repeat(4)+e).join("\n").trim();i=`,
-    extra_body=${e}`}let a=C.length>0?C:[{role:"user",content:I}];t=`
-import base64
-
-# Helper function to encode images to base64
-def encode_image(image_path):
-    with open(image_path, "rb") as image_file:
-        return base64.b64encode(image_file.read()).decode('utf-8')
-
-# Example with text only
-response = client.chat.completions.create(
-    model="${O}",
-    messages=${JSON.stringify(a,null,4)}${i}
-)
-
-print(response)
-
-# Example with image or PDF (uncomment and provide file path to use)
-# base64_file = encode_image("path/to/your/file.jpg")  # or .pdf
-# response_with_file = client.chat.completions.create(
-#     model="${O}",
-#     messages=[
-#         {
-#             "role": "user",
-#             "content": [
-#                 {
-#                     "type": "text",
-#                     "text": "${E}"
-#                 },
-#                 {
-#                     "type": "image_url",
-#                     "image_url": {
-#                         "url": f"data:image/jpeg;base64,{base64_file}"  # or data:application/pdf;base64,{base64_file}
-#                     }
-#                 }
-#             ]
-#         }
-#     ]${i}
-# )
-# print(response_with_file)
-`;break}case o.RESPONSES:{let e=Object.keys(S).length>0,i="";if(e){let e=JSON.stringify({metadata:S},null,2).split("\n").map(e=>" ".repeat(4)+e).join("\n").trim();i=`,
-    extra_body=${e}`}let a=C.length>0?C:[{role:"user",content:I}];t=`
-import base64
-
-# Helper function to encode images to base64
-def encode_image(image_path):
-    with open(image_path, "rb") as image_file:
-        return base64.b64encode(image_file.read()).decode('utf-8')
-
-# Example with text only
-response = client.responses.create(
-    model="${O}",
-    input=${JSON.stringify(a,null,4)}${i}
-)
-
-print(response.output_text)
-
-# Example with image or PDF (uncomment and provide file path to use)
-# base64_file = encode_image("path/to/your/file.jpg")  # or .pdf
-# response_with_file = client.responses.create(
-#     model="${O}",
-#     input=[
-#         {
-#             "role": "user",
-#             "content": [
-#                 {"type": "input_text", "text": "${E}"},
-#                 {
-#                     "type": "input_image",
-#                     "image_url": f"data:image/jpeg;base64,{base64_file}",  # or data:application/pdf;base64,{base64_file}
-#                 },
-#             ],
-#         }
-#     ]${i}
-# )
-# print(response_with_file.output_text)
-`;break}case o.IMAGE:t="azure"===A?`
-# NOTE: The Azure SDK does not have a direct equivalent to the multi-modal 'responses.create' method shown for OpenAI.
-# This snippet uses 'client.images.generate' and will create a new image based on your prompt.
-# It does not use the uploaded image, as 'client.images.generate' does not support image inputs in this context.
-import os
-import requests
-import json
-import time
-from PIL import Image
-
-result = client.images.generate(
-	model="${O}",
-	prompt="${n}",
-	n=1
-)
-
-json_response = json.loads(result.model_dump_json())
-
-# Set the directory for the stored image
-image_dir = os.path.join(os.curdir, 'images')
-
-# If the directory doesn't exist, create it
-if not os.path.isdir(image_dir):
-	os.mkdir(image_dir)
-
-# Initialize the image path
-image_filename = f"generated_image_{int(time.time())}.png"
-image_path = os.path.join(image_dir, image_filename)
-
-try:
-	# Retrieve the generated image
-	if json_response.get("data") && len(json_response["data"]) > 0 && json_response["data"][0].get("url"):
-			image_url = json_response["data"][0]["url"]
-			generated_image = requests.get(image_url).content
-			with open(image_path, "wb") as image_file:
-					image_file.write(generated_image)
-
-			print(f"Image saved to {image_path}")
-			# Display the image
-			image = Image.open(image_path)
-			image.show()
-	else:
-			print("Could not find image URL in response.")
-			print("Full response:", json_response)
-except Exception as e:
-	print(f"An error occurred: {e}")
-	print("Full response:", json_response)
-`:`
-import base64
-import os
-import time
-import json
-from PIL import Image
-import requests
-
-# Helper function to encode images to base64
-def encode_image(image_path):
-	with open(image_path, "rb") as image_file:
-			return base64.b64encode(image_file.read()).decode('utf-8')
-
-# Helper function to create a file (simplified for this example)
-def create_file(image_path):
-	# In a real implementation, this would upload the file to OpenAI
-	# For this example, we'll just return a placeholder ID
-	return f"file_{os.path.basename(image_path).replace('.', '_')}"
-
-# The prompt entered by the user
-prompt = "${E}"
-
-# Encode images to base64
-base64_image1 = encode_image("body-lotion.png")
-base64_image2 = encode_image("soap.png")
-
-# Create file IDs
-file_id1 = create_file("body-lotion.png")
-file_id2 = create_file("incense-kit.png")
-
-response = client.responses.create(
-	model="${O}",
-	input=[
-			{
-					"role": "user",
-					"content": [
-							{"type": "input_text", "text": prompt},
-							{
-									"type": "input_image",
-									"image_url": f"data:image/jpeg;base64,{base64_image1}",
-							},
-							{
-									"type": "input_image",
-									"image_url": f"data:image/jpeg;base64,{base64_image2}",
-							},
-							{
-									"type": "input_image",
-									"file_id": file_id1,
-							},
-							{
-									"type": "input_image",
-									"file_id": file_id2,
-							}
-					],
-			}
-	],
-	tools=[{"type": "image_generation"}],
-)
-
-# Process the response
-image_generation_calls = [
-	output
-	for output in response.output
-	if output.type == "image_generation_call"
-]
-
-image_data = [output.result for output in image_generation_calls]
-
-if image_data:
-	image_base64 = image_data[0]
-	image_filename = f"edited_image_{int(time.time())}.png"
-	with open(image_filename, "wb") as f:
-			f.write(base64.b64decode(image_base64))
-	print(f"Image saved to {image_filename}")
-else:
-	# If no image is generated, there might be a text response with an explanation
-	text_response = [output.text for output in response.output if hasattr(output, 'text')]
-	if text_response:
-			print("No image generated. Model response:")
-			print("\\n".join(text_response))
-	else:
-			print("No image data found in response.")
-	print("Full response for debugging:")
-	print(response)
-`;break;case o.IMAGE_EDITS:t="azure"===A?`
-import base64
-import os
-import time
-import json
-from PIL import Image
-import requests
-
-# Helper function to encode images to base64
-def encode_image(image_path):
-	with open(image_path, "rb") as image_file:
-			return base64.b64encode(image_file.read()).decode('utf-8')
-
-# The prompt entered by the user
-prompt = "${E}"
-
-# Encode images to base64
-base64_image1 = encode_image("body-lotion.png")
-base64_image2 = encode_image("soap.png")
-
-# Create file IDs
-file_id1 = create_file("body-lotion.png")
-file_id2 = create_file("incense-kit.png")
-
-response = client.responses.create(
-	model="${O}",
-	input=[
-			{
-					"role": "user",
-					"content": [
-							{"type": "input_text", "text": prompt},
-							{
-									"type": "input_image",
-									"image_url": f"data:image/jpeg;base64,{base64_image1}",
-							},
-							{
-									"type": "input_image",
-									"image_url": f"data:image/jpeg;base64,{base64_image2}",
-							},
-							{
-									"type": "input_image",
-									"file_id": file_id1,
-							},
-							{
-									"type": "input_image",
-									"file_id": file_id2,
-							}
-					],
-			}
-	],
-	tools=[{"type": "image_generation"}],
-)
-
-# Process the response
-image_generation_calls = [
-	output
-	for output in response.output
-	if output.type == "image_generation_call"
-]
-
-image_data = [output.result for output in image_generation_calls]
-
-if image_data:
-	image_base64 = image_data[0]
-	image_filename = f"edited_image_{int(time.time())}.png"
-	with open(image_filename, "wb") as f:
-			f.write(base64.b64decode(image_base64))
-	print(f"Image saved to {image_filename}")
-else:
-	# If no image is generated, there might be a text response with an explanation
-	text_response = [output.text for output in response.output if hasattr(output, 'text')]
-	if text_response:
-			print("No image generated. Model response:")
-			print("\\n".join(text_response))
-	else:
-			print("No image data found in response.")
-	print("Full response for debugging:")
-	print(response)
-`:`
-import base64
-import os
-import time
-
-# Helper function to encode images to base64
-def encode_image(image_path):
-	with open(image_path, "rb") as image_file:
-			return base64.b64encode(image_file.read()).decode('utf-8')
-
-# Helper function to create a file (simplified for this example)
-def create_file(image_path):
-	# In a real implementation, this would upload the file to OpenAI
-	# For this example, we'll just return a placeholder ID
-	return f"file_{os.path.basename(image_path).replace('.', '_')}"
-
-# The prompt entered by the user
-prompt = "${E}"
-
-# Encode images to base64
-base64_image1 = encode_image("body-lotion.png")
-base64_image2 = encode_image("soap.png")
-
-# Create file IDs
-file_id1 = create_file("body-lotion.png")
-file_id2 = create_file("incense-kit.png")
-
-response = client.responses.create(
-	model="${O}",
-	input=[
-			{
-					"role": "user",
-					"content": [
-							{"type": "input_text", "text": prompt},
-							{
-									"type": "input_image",
-									"image_url": f"data:image/jpeg;base64,{base64_image1}",
-							},
-							{
-									"type": "input_image",
-									"image_url": f"data:image/jpeg;base64,{base64_image2}",
-							},
-							{
-									"type": "input_image",
-									"file_id": file_id1,
-							},
-							{
-									"type": "input_image",
-									"file_id": file_id2,
-							}
-					],
-			}
-	],
-	tools=[{"type": "image_generation"}],
-)
-
-# Process the response
-image_generation_calls = [
-	output
-	for output in response.output
-	if output.type == "image_generation_call"
-]
-
-image_data = [output.result for output in image_generation_calls]
-
-if image_data:
-	image_base64 = image_data[0]
-	image_filename = f"edited_image_{int(time.time())}.png"
-	with open(image_filename, "wb") as f:
-			f.write(base64.b64decode(image_base64))
-	print(f"Image saved to {image_filename}")
-else:
-	# If no image is generated, there might be a text response with an explanation
-	text_response = [output.text for output in response.output if hasattr(output, 'text')]
-	if text_response:
-			print("No image generated. Model response:")
-			print("\\n".join(text_response))
-	else:
-			print("No image data found in response.")
-	print("Full response for debugging:")
-	print(response)
-`;break;case o.EMBEDDINGS:t=`
-response = client.embeddings.create(
-	input="${n||"Your string here"}",
-	model="${O}",
-	encoding_format="base64" # or "float"
-)
-
-print(response.data[0].embedding)
-`;break;case o.TRANSCRIPTION:t=`
-# Open the audio file
-audio_file = open("path/to/your/audio/file.mp3", "rb")
-
-# Make the transcription request
-response = client.audio.transcriptions.create(
-	model="${O}",
-	file=audio_file${n?`,
-	prompt="${n.replace(/\\/g,"\\\\").replace(/"/g,'\\"')}"`:""}
-)
-
-print(response.text)
-`;break;case o.SPEECH:t=`
-# Make the text-to-speech request
-response = client.audio.speech.create(
-	model="${O}",
-	input="${n||"Your text to convert to speech here"}",
-	voice="${f}"  # Options: alloy, ash, ballad, coral, echo, fable, nova, onyx, sage, shimmer
-)
-
-# Save the audio to a file
-output_filename = "output_speech.mp3"
-response.stream_to_file(output_filename)
-print(f"Audio saved to {output_filename}")
-
-# Optional: Customize response format and speed
-# response = client.audio.speech.create(
-#     model="${O}",
-#     input="${n||"Your text to convert to speech here"}",
-#     voice="alloy",
-#     response_format="mp3",  # Options: mp3, opus, aac, flac, wav, pcm
-#     speed=1.0  # Range: 0.25 to 4.0
-# )
-# response.stream_to_file("output_speech.mp3")
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deleted file mode 100644
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diff --git a/litellm/proxy/_experimental/out/_next/static/chunks/5023bf9fd490e7e0.js b/litellm/proxy/_experimental/out/_next/static/chunks/c3c84f2fc1b1e9db.js
similarity index 96%
rename from litellm/proxy/_experimental/out/_next/static/chunks/5023bf9fd490e7e0.js
rename to litellm/proxy/_experimental/out/_next/static/chunks/c3c84f2fc1b1e9db.js
index 115b00c5a79..245bc4d365d 100644
--- a/litellm/proxy/_experimental/out/_next/static/chunks/5023bf9fd490e7e0.js
+++ b/litellm/proxy/_experimental/out/_next/static/chunks/c3c84f2fc1b1e9db.js
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diff --git a/litellm/proxy/_experimental/out/_next/static/chunks/fa8dcdcf9803fe4f.js b/litellm/proxy/_experimental/out/_next/static/chunks/e000783224957b5f.js
similarity index 64%
rename from litellm/proxy/_experimental/out/_next/static/chunks/fa8dcdcf9803fe4f.js
rename to litellm/proxy/_experimental/out/_next/static/chunks/e000783224957b5f.js
index e4c18b6c1d5..8f814010d33 100644
--- a/litellm/proxy/_experimental/out/_next/static/chunks/fa8dcdcf9803fe4f.js
+++ b/litellm/proxy/_experimental/out/_next/static/chunks/e000783224957b5f.js
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diff --git a/litellm/proxy/_experimental/out/_next/static/chunks/e1ddb2a5fb23f5a5.js b/litellm/proxy/_experimental/out/_next/static/chunks/e1ddb2a5fb23f5a5.js
deleted file mode 100644
index 3e958281371..00000000000
--- a/litellm/proxy/_experimental/out/_next/static/chunks/e1ddb2a5fb23f5a5.js
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deleted file mode 100644
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-curl -X POST --location '<your_proxy_base_url>/end_user/new' \\
-
--H 'Authorization: Bearer <your-master-key>' \\
-
--H 'Content-Type: application/json' \\
-
--d '{"user_id": "my-customer-id', "budget_id": "<BUDGET_ID>"}' # 👈 KEY CHANGE
-
-`,L=`
-curl -X POST --location '<your_proxy_base_url>/chat/completions' \\
-
--H 'Authorization: Bearer <your-master-key>' \\
-
--H 'Content-Type: application/json' \\
-
--d '{
-  "model": "gpt-3.5-turbo',
-  "messages":[{"role": "user", "content": "Hey, how's it going?"}],
-  "user": "my-customer-id"
-}' # 👈 KEY CHANGE
-
-`,z=`from openai import OpenAI
-client = OpenAI(
-  base_url="<your_proxy_base_url>",
-  api_key="<your_proxy_key>"
-)
-
-completion = client.chat.completions.create(
-  model="gpt-3.5-turbo",
-  messages=[
-    {"role": "system", "content": "You are a helpful assistant."},
-    {"role": "user", "content": "Hello!"}
-  ],
-  user="my-customer-id"
-)
-
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diff --git a/litellm/proxy/_experimental/out/_next/static/chunks/e7cc7b98b893b20d.js b/litellm/proxy/_experimental/out/_next/static/chunks/e7cc7b98b893b20d.js
deleted file mode 100644
index 24f9fb3c7e7..00000000000
--- a/litellm/proxy/_experimental/out/_next/static/chunks/e7cc7b98b893b20d.js
+++ /dev/null
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-    <!DOCTYPE html>
-    <html>
-    <head>
-      <title>Multi-Model Cost Estimate Report</title>
-      <style>
-        body {
-          font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif;
-          padding: 40px;
-          max-width: 900px;
-          margin: 0 auto;
-          color: #333;
-        }
-        h1 {
-          color: #1a1a1a;
-          border-bottom: 2px solid #1890ff;
-          padding-bottom: 10px;
-          margin-bottom: 30px;
-        }
-        h2 {
-          color: #444;
-          margin-top: 30px;
-          margin-bottom: 15px;
-        }
-        h3 {
-          color: #555;
-          margin-top: 25px;
-          margin-bottom: 10px;
-          padding-bottom: 5px;
-          border-bottom: 1px solid #eee;
-        }
-        .provider {
-          font-weight: normal;
-          color: #1890ff;
-          font-size: 14px;
-        }
-        .meta {
-          background: #f5f5f5;
-          padding: 12px 15px;
-          border-radius: 8px;
-          margin-bottom: 15px;
-          font-size: 13px;
-        }
-        .meta p {
-          margin: 4px 0;
-        }
-        table {
-          width: 100%;
-          border-collapse: collapse;
-          margin-bottom: 20px;
-        }
-        th, td {
-          padding: 10px 12px;
-          text-align: left;
-          border-bottom: 1px solid #ddd;
-        }
-        th {
-          background: #f8f9fa;
-          font-weight: 600;
-          font-size: 13px;
-        }
-        .cost-value {
-          font-family: monospace;
-          font-size: 13px;
-        }
-        .total-row {
-          font-weight: bold;
-          background: #e6f7ff;
-        }
-        .summary-box {
-          background: linear-gradient(135deg, #e6f7ff 0%, #f9f0ff 100%);
-          border: 1px solid #91d5ff;
-          border-radius: 8px;
-          padding: 20px;
-          margin-bottom: 30px;
-        }
-        .summary-box h2 {
-          margin-top: 0;
-          color: #1890ff;
-        }
-        .summary-grid {
-          display: grid;
-          grid-template-columns: repeat(3, 1fr);
-          gap: 20px;
-          margin-top: 15px;
-        }
-        .summary-item {
-          text-align: center;
-        }
-        .summary-item .label {
-          font-size: 12px;
-          color: #666;
-          margin-bottom: 5px;
-        }
-        .summary-item .value {
-          font-size: 20px;
-          font-weight: bold;
-          font-family: monospace;
-        }
-        .summary-item .value.blue { color: #1890ff; }
-        .summary-item .value.green { color: #52c41a; }
-        .summary-item .value.purple { color: #722ed1; }
-        .model-section {
-          margin-bottom: 30px;
-          page-break-inside: avoid;
-        }
-        .footer {
-          margin-top: 40px;
-          padding-top: 20px;
-          border-top: 1px solid #ddd;
-          font-size: 12px;
-          color: #666;
-        }
-        @media print {
-          body { padding: 20px; }
-          .model-section { page-break-inside: avoid; }
-        }
-      </style>
-    </head>
-    <body>
-      <h1>LLM Cost Estimate Report</h1>
-      <p style="color: #666; margin-top: -20px; margin-bottom: 30px;">${a} model${1!==a?"s":""} configured</p>
-      
-      <div class="summary-box">
-        <h2>Combined Totals</h2>
-        <div class="summary-grid">
-          <div class="summary-item">
-            <div class="label">Total Per Request</div>
-            <div class="value blue">${tA(e.totals.cost_per_request)}</div>
-          </div>
-          <div class="summary-item">
-            <div class="label">Total Daily</div>
-            <div class="value green">${tA(e.totals.daily_cost)}</div>
-          </div>
-          <div class="summary-item">
-            <div class="label">Total Monthly</div>
-            <div class="value purple">${tA(e.totals.monthly_cost)}</div>
-          </div>
-        </div>
-        ${e.totals.margin_per_request>0?`
-        <div class="summary-grid" style="margin-top: 15px; padding-top: 15px; border-top: 1px solid #ddd;">
-          <div class="summary-item">
-            <div class="label">Margin/Request</div>
-            <div class="value" style="color: #faad14;">${tA(e.totals.margin_per_request)}</div>
-          </div>
-          <div class="summary-item">
-            <div class="label">Daily Margin</div>
-            <div class="value" style="color: #faad14;">${tA(e.totals.daily_margin)}</div>
-          </div>
-          <div class="summary-item">
-            <div class="label">Monthly Margin</div>
-            <div class="value" style="color: #faad14;">${tA(e.totals.monthly_margin)}</div>
-          </div>
-        </div>
-        `:""}
-      </div>
-
-      <h2>Model Breakdown</h2>
-      ${s.map(e=>{let t;return t=e.result,`
-    <div class="model-section">
-      <h3>${t.model} ${t.provider?`<span class="provider">(${t.provider})</span>`:""}</h3>
-      
-      <div class="meta">
-        <p><strong>Input Tokens per Request:</strong> ${tP(t.input_tokens)}</p>
-        <p><strong>Output Tokens per Request:</strong> ${tP(t.output_tokens)}</p>
-        ${t.num_requests_per_day?`<p><strong>Requests per Day:</strong> ${tP(t.num_requests_per_day)}</p>`:""}
-        ${t.num_requests_per_month?`<p><strong>Requests per Month:</strong> ${tP(t.num_requests_per_month)}</p>`:""}
-      </div>
-
-      <table>
-        <tr>
-          <th>Cost Type</th>
-          <th>Per Request</th>
-          ${null!==t.daily_cost?"<th>Daily</th>":""}
-          ${null!==t.monthly_cost?"<th>Monthly</th>":""}
-        </tr>
-        <tr>
-          <td>Input Cost</td>
-          <td class="cost-value">${tA(t.input_cost_per_request)}</td>
-          ${null!==t.daily_cost?`<td class="cost-value">${tA(t.daily_input_cost)}</td>`:""}
-          ${null!==t.monthly_cost?`<td class="cost-value">${tA(t.monthly_input_cost)}</td>`:""}
-        </tr>
-        <tr>
-          <td>Output Cost</td>
-          <td class="cost-value">${tA(t.output_cost_per_request)}</td>
-          ${null!==t.daily_cost?`<td class="cost-value">${tA(t.daily_output_cost)}</td>`:""}
-          ${null!==t.monthly_cost?`<td class="cost-value">${tA(t.monthly_output_cost)}</td>`:""}
-        </tr>
-        <tr>
-          <td>Margin/Fee</td>
-          <td class="cost-value">${tA(t.margin_cost_per_request)}</td>
-          ${null!==t.daily_cost?`<td class="cost-value">${tA(t.daily_margin_cost)}</td>`:""}
-          ${null!==t.monthly_cost?`<td class="cost-value">${tA(t.monthly_margin_cost)}</td>`:""}
-        </tr>
-        <tr class="total-row">
-          <td>Total</td>
-          <td class="cost-value">${tA(t.cost_per_request)}</td>
-          ${null!==t.daily_cost?`<td class="cost-value">${tA(t.daily_cost)}</td>`:""}
-          ${null!==t.monthly_cost?`<td class="cost-value">${tA(t.monthly_cost)}</td>`:""}
-        </tr>
-      </table>
-    </div>
-  `}).join("")}
-
-      <div class="footer">
-        <p>Generated by LiteLLM Pricing Calculator on ${new Date().toLocaleString()}</p>
-      </div>
-    </body>
-    </html>
-  `;t.document.write(l),t.document.close(),t.onload=()=>{t.print()}})(e),a(!1)},children:[(0,t.jsx)(tC.FilePdfOutlined,{className:"mr-3 text-red-500"}),"Export as PDF"]}),(0,t.jsxs)("button",{className:"flex items-center w-full px-4 py-2 text-sm text-gray-700 hover:bg-gray-50 transition-colors",onClick:()=>{(e=>{let t=e.entries.filter(e=>null!==e.result),s=[["LLM Multi-Model Cost Estimate Report"],["Generated",new Date().toLocaleString()],[""]];for(let a of(s.push(["COMBINED TOTALS"],["Total Per Request",e.totals.cost_per_request.toString()],["Total Daily",e.totals.daily_cost?.toString()||"-"],["Total Monthly",e.totals.monthly_cost?.toString()||"-"],["Margin Per Request",e.totals.margin_per_request.toString()],["Daily Margin",e.totals.daily_margin?.toString()||"-"],["Monthly Margin",e.totals.monthly_margin?.toString()||"-"],[""]),s.push(["Model","Provider","Input Tokens","Output Tokens","Requests/Day","Requests/Month","Cost/Request","Daily Cost","Monthly Cost","Input Cost/Req","Output 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deleted file mode 100644
index ea899cbb604..00000000000
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new file mode 100644
index 00000000000..9c3b17cdc80
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diff --git a/litellm/proxy/_experimental/out/_next/static/chunks/951e5ff2dc4928c2.js b/litellm/proxy/_experimental/out/_next/static/chunks/efea414bda877fd0.js
similarity index 85%
rename from litellm/proxy/_experimental/out/_next/static/chunks/951e5ff2dc4928c2.js
rename to litellm/proxy/_experimental/out/_next/static/chunks/efea414bda877fd0.js
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diff --git a/litellm/proxy/_experimental/out/_next/static/chunks/a0b3f7d6c7b4d358.js b/litellm/proxy/_experimental/out/_next/static/chunks/f4cb209365e2229d.js
similarity index 91%
rename from litellm/proxy/_experimental/out/_next/static/chunks/a0b3f7d6c7b4d358.js
rename to litellm/proxy/_experimental/out/_next/static/chunks/f4cb209365e2229d.js
index d113611817e..4551f9e8cbe 100644
--- a/litellm/proxy/_experimental/out/_next/static/chunks/a0b3f7d6c7b4d358.js
+++ b/litellm/proxy/_experimental/out/_next/static/chunks/f4cb209365e2229d.js
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new file mode 100644
index 00000000000..a60ee81e4d6
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+++ b/litellm/proxy/_experimental/out/_next/static/chunks/f520a8d0cb8aca9e.js
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diff --git a/litellm/proxy/_experimental/out/_next/static/chunks/f5fc27663c2424f7.js b/litellm/proxy/_experimental/out/_next/static/chunks/f5fc27663c2424f7.js
deleted file mode 100644
index 81f32e137e0..00000000000
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diff --git a/litellm/proxy/_experimental/out/_next/static/chunks/9c8c73d0d20d640f.js b/litellm/proxy/_experimental/out/_next/static/chunks/fa36bea8808c8054.js
similarity index 78%
rename from litellm/proxy/_experimental/out/_next/static/chunks/9c8c73d0d20d640f.js
rename to litellm/proxy/_experimental/out/_next/static/chunks/fa36bea8808c8054.js
index 284ad5304ff..95a21e7bbd0 100644
--- a/litellm/proxy/_experimental/out/_next/static/chunks/9c8c73d0d20d640f.js
+++ b/litellm/proxy/_experimental/out/_next/static/chunks/fa36bea8808c8054.js
@@ -1 +1 @@
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diff --git a/litellm/proxy/_experimental/out/_next/static/chunks/ca91b0fa4d619698.js b/litellm/proxy/_experimental/out/_next/static/chunks/fb125648f2dae104.js
similarity index 78%
rename from litellm/proxy/_experimental/out/_next/static/chunks/ca91b0fa4d619698.js
rename to litellm/proxy/_experimental/out/_next/static/chunks/fb125648f2dae104.js
index 926d5fe533d..3ec1d0d8537 100644
--- a/litellm/proxy/_experimental/out/_next/static/chunks/ca91b0fa4d619698.js
+++ b/litellm/proxy/_experimental/out/_next/static/chunks/fb125648f2dae104.js
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diff --git a/litellm/proxy/_experimental/out/_not-found/index.html b/litellm/proxy/_experimental/out/_not-found.html
similarity index 96%
rename from litellm/proxy/_experimental/out/_not-found/index.html
rename to litellm/proxy/_experimental/out/_not-found.html
index a3e8dd80e8b..7271449e128 100644
--- a/litellm/proxy/_experimental/out/_not-found/index.html
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diff --git a/litellm/proxy/_experimental/out/model_hub/index.html b/litellm/proxy/_experimental/out/model_hub.html
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diff --git a/litellm/proxy/_experimental/out/onboarding/index.html b/litellm/proxy/_experimental/out/onboarding.html
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diff --git a/litellm/proxy/_lazy_openapi_snapshot.json b/litellm/proxy/_lazy_openapi_snapshot.json
index eb35dd6cb3e..eea6974193f 100644
--- a/litellm/proxy/_lazy_openapi_snapshot.json
+++ b/litellm/proxy/_lazy_openapi_snapshot.json
@@ -3616,7 +3616,7 @@
         },
         "get": {
           "description": "[Docs](https://docs.litellm.ai/docs/pass_through/anthropic_completion)",
-          "operationId": "anthropic_proxy_route_anthropic__endpoint__delete",
+          "operationId": "anthropic_proxy_route_anthropic__endpoint__get",
           "parameters": [
             {
               "in": "path",
@@ -3660,7 +3660,7 @@
         },
         "patch": {
           "description": "[Docs](https://docs.litellm.ai/docs/pass_through/anthropic_completion)",
-          "operationId": "anthropic_proxy_route_anthropic__endpoint__delete",
+          "operationId": "anthropic_proxy_route_anthropic__endpoint__patch",
           "parameters": [
             {
               "in": "path",
@@ -3704,7 +3704,7 @@
         },
         "post": {
           "description": "[Docs](https://docs.litellm.ai/docs/pass_through/anthropic_completion)",
-          "operationId": "anthropic_proxy_route_anthropic__endpoint__delete",
+          "operationId": "anthropic_proxy_route_anthropic__endpoint__post",
           "parameters": [
             {
               "in": "path",
@@ -3748,7 +3748,7 @@
         },
         "put": {
           "description": "[Docs](https://docs.litellm.ai/docs/pass_through/anthropic_completion)",
-          "operationId": "anthropic_proxy_route_anthropic__endpoint__delete",
+          "operationId": "anthropic_proxy_route_anthropic__endpoint__put",
           "parameters": [
             {
               "in": "path",
@@ -5454,7 +5454,7 @@
       },
       "/cloudzero/settings": {
         "get": {
-          "description": "View current CloudZero settings.\n\nReturns the current CloudZero configuration with the API key masked for security.\nOnly the first 4 and last 4 characters of the API key are shown.\nReturns null/empty values when settings are not configured (consistent with other settings endpoints).\n\nOnly admin users can view CloudZero settings.",
+          "description": "View current CloudZero settings.\n\nReturns the current CloudZero configuration with the API key masked for security.\nOnly the first 4 and last 4 characters of the API key are shown.\nReturns null/empty values when settings are not configured (consistent with other settings endpoints).\n\nOnly admin users (Proxy Admin or Admin Viewer) can view CloudZero settings.",
           "operationId": "get_cloudzero_settings_cloudzero_settings_get",
           "responses": {
             "200": {
@@ -13299,7 +13299,7 @@
         },
         "get": {
           "description": "Call Langfuse via LiteLLM proxy. Works with Langfuse SDK.\n\n[Docs](https://docs.litellm.ai/docs/pass_through/langfuse)",
-          "operationId": "langfuse_proxy_route_langfuse__endpoint__delete",
+          "operationId": "langfuse_proxy_route_langfuse__endpoint__get",
           "parameters": [
             {
               "in": "path",
@@ -13338,7 +13338,7 @@
         },
         "patch": {
           "description": "Call Langfuse via LiteLLM proxy. Works with Langfuse SDK.\n\n[Docs](https://docs.litellm.ai/docs/pass_through/langfuse)",
-          "operationId": "langfuse_proxy_route_langfuse__endpoint__delete",
+          "operationId": "langfuse_proxy_route_langfuse__endpoint__patch",
           "parameters": [
             {
               "in": "path",
@@ -13377,7 +13377,7 @@
         },
         "post": {
           "description": "Call Langfuse via LiteLLM proxy. Works with Langfuse SDK.\n\n[Docs](https://docs.litellm.ai/docs/pass_through/langfuse)",
-          "operationId": "langfuse_proxy_route_langfuse__endpoint__delete",
+          "operationId": "langfuse_proxy_route_langfuse__endpoint__post",
           "parameters": [
             {
               "in": "path",
@@ -13416,7 +13416,7 @@
         },
         "put": {
           "description": "Call Langfuse via LiteLLM proxy. Works with Langfuse SDK.\n\n[Docs](https://docs.litellm.ai/docs/pass_through/langfuse)",
-          "operationId": "langfuse_proxy_route_langfuse__endpoint__delete",
+          "operationId": "langfuse_proxy_route_langfuse__endpoint__put",
           "parameters": [
             {
               "in": "path",
@@ -26922,7 +26922,7 @@
         },
         "get": {
           "description": "Namespace a toolset as its own MCP endpoint.\n\nConnecting to /toolset/<name>/mcp exposes exactly the tools defined in\nthe toolset. Access is enforced: non-admin API keys must have the toolset\nlisted in their object_permission.mcp_toolsets grant list, or the request\nwill be rejected with a 403.",
-          "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_delete",
+          "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_get",
           "parameters": [
             {
               "in": "path",
@@ -26961,7 +26961,7 @@
         },
         "head": {
           "description": "Namespace a toolset as its own MCP endpoint.\n\nConnecting to /toolset/<name>/mcp exposes exactly the tools defined in\nthe toolset. Access is enforced: non-admin API keys must have the toolset\nlisted in their object_permission.mcp_toolsets grant list, or the request\nwill be rejected with a 403.",
-          "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_delete",
+          "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_head",
           "parameters": [
             {
               "in": "path",
@@ -27000,7 +27000,7 @@
         },
         "options": {
           "description": "Namespace a toolset as its own MCP endpoint.\n\nConnecting to /toolset/<name>/mcp exposes exactly the tools defined in\nthe toolset. Access is enforced: non-admin API keys must have the toolset\nlisted in their object_permission.mcp_toolsets grant list, or the request\nwill be rejected with a 403.",
-          "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_delete",
+          "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_options",
           "parameters": [
             {
               "in": "path",
@@ -27039,7 +27039,7 @@
         },
         "patch": {
           "description": "Namespace a toolset as its own MCP endpoint.\n\nConnecting to /toolset/<name>/mcp exposes exactly the tools defined in\nthe toolset. Access is enforced: non-admin API keys must have the toolset\nlisted in their object_permission.mcp_toolsets grant list, or the request\nwill be rejected with a 403.",
-          "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_delete",
+          "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_patch",
           "parameters": [
             {
               "in": "path",
@@ -27078,7 +27078,7 @@
         },
         "post": {
           "description": "Namespace a toolset as its own MCP endpoint.\n\nConnecting to /toolset/<name>/mcp exposes exactly the tools defined in\nthe toolset. Access is enforced: non-admin API keys must have the toolset\nlisted in their object_permission.mcp_toolsets grant list, or the request\nwill be rejected with a 403.",
-          "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_delete",
+          "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_post",
           "parameters": [
             {
               "in": "path",
@@ -27117,7 +27117,7 @@
         },
         "put": {
           "description": "Namespace a toolset as its own MCP endpoint.\n\nConnecting to /toolset/<name>/mcp exposes exactly the tools defined in\nthe toolset. Access is enforced: non-admin API keys must have the toolset\nlisted in their object_permission.mcp_toolsets grant list, or the request\nwill be rejected with a 403.",
-          "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_delete",
+          "operationId": "toolset_mcp_route_toolset__toolset_name__mcp_put",
           "parameters": [
             {
               "in": "path",
@@ -28202,7 +28202,7 @@
       },
       "/vantage/settings": {
         "get": {
-          "description": "View current Vantage settings.\n\nReturns the current Vantage configuration with the API key masked for security.\nOnly admin users can view Vantage settings.",
+          "description": "View current Vantage settings.\n\nReturns the current Vantage configuration with the API key masked for security.\nOnly admin users (Proxy Admin or Admin Viewer) can view Vantage settings.",
           "operationId": "get_vantage_settings_vantage_settings_get",
           "responses": {
             "200": {
diff --git a/litellm/proxy/_types.py b/litellm/proxy/_types.py
index 3cca23f07ab..db7c487cdd9 100644
--- a/litellm/proxy/_types.py
+++ b/litellm/proxy/_types.py
@@ -190,6 +190,8 @@ class LitellmTableNames(str, enum.Enum):
     PROXY_MODEL_TABLE_NAME = "LiteLLM_ProxyModelTable"
     MANAGED_FILE_TABLE_NAME = "LiteLLM_ManagedFileTable"
     TOOL_TABLE_NAME = "LiteLLM_ToolTable"
+    CACHE_CONFIG_TABLE_NAME = "LiteLLM_CacheConfig"
+    CONFIG_OVERRIDES_TABLE_NAME = "LiteLLM_ConfigOverrides"
 
 
 class Litellm_EntityType(enum.Enum):
@@ -565,6 +567,7 @@ class LiteLLMRoutes(enum.Enum):
             "/team/available",
             "/team/permissions_list",
             "/team/permissions_update",
+            "/team/permissions_bulk_update",
             "/team/daily/activity",
             # model
             "/model/new",
@@ -614,13 +617,12 @@ class LiteLLMRoutes(enum.Enum):
             "/",
             "/health/liveliness",
             "/health/liveness",
-            "/health/readiness",
             "/test",
             "/config/yaml",
-            "/metrics",
             "/litellm/.well-known/litellm-ui-config",
             "/.well-known/litellm-ui-config",
             "/public/model_hub",
+            "/public/model_hub/info",
             "/public/agent_hub",
             "/public/mcp_hub",
             "/public/skill_hub",
@@ -4601,6 +4603,7 @@ class LiteLLM_ManagedFileTable(LiteLLMPydanticObjectBase):
     model_mappings: Dict[str, str]
     flat_model_file_ids: List[str]
     created_by: Optional[str] = None
+    team_id: Optional[str] = None
     updated_by: Optional[str] = None
     storage_backend: Optional[str] = None
     storage_url: Optional[str] = None
@@ -4609,8 +4612,10 @@ class LiteLLM_ManagedFileTable(LiteLLMPydanticObjectBase):
 class LiteLLM_ManagedObjectTable(LiteLLMPydanticObjectBase):
     unified_object_id: str
     model_object_id: str
-    file_purpose: Literal["batch", "fine-tune", "response"]
+    file_purpose: Literal["batch", "fine-tune", "response", "container"]
     file_object: Union[LiteLLMBatch, LiteLLMFineTuningJob, ResponsesAPIResponse]
+    created_by: Optional[str] = None
+    team_id: Optional[str] = None
 
 
 class LiteLLM_ManagedVectorStoreTable(LiteLLMPydanticObjectBase):
@@ -4621,6 +4626,7 @@ class LiteLLM_ManagedVectorStoreTable(LiteLLMPydanticObjectBase):
     model_mappings: Dict[str, str]
     flat_model_resource_ids: List[str]
     created_by: Optional[str] = None
+    team_id: Optional[str] = None
     updated_by: Optional[str] = None
     storage_backend: Optional[str] = None
     storage_url: Optional[str] = None
diff --git a/litellm/proxy/agent_endpoints/endpoints.py b/litellm/proxy/agent_endpoints/endpoints.py
index c351d3cfecb..374c123c332 100644
--- a/litellm/proxy/agent_endpoints/endpoints.py
+++ b/litellm/proxy/agent_endpoints/endpoints.py
@@ -31,6 +31,7 @@ from litellm.types.agents import (
 from litellm.litellm_core_utils.litellm_logging import _get_masked_values
 from litellm.types.llms.custom_http import httpxSpecialProvider
 from litellm.types.proxy.management_endpoints.common_daily_activity import (
+    DailySpendMetadata,
     SpendAnalyticsPaginatedResponse,
 )
 
@@ -973,7 +974,64 @@ async def get_agent_daily_activity(
             exclude_agent_ids.split(",") if exclude_agent_ids else None
         )
 
-    where_condition = {}
+    # Without scoping, an empty `agent_ids` query returned every agent's
+    # spend/token rows on the proxy. Restrict non-admin callers to the
+    # agents they're permitted to invoke (or that they created), and
+    # intersect their explicit `agent_ids` filter with the same allowlist.
+    from litellm.proxy.agent_endpoints.auth.agent_permission_handler import (
+        AgentRequestHandler,
+    )
+    from litellm.proxy.management_endpoints.common_utils import _user_has_admin_view
+
+    where_condition: Dict[str, Any] = {}
+    if not _user_has_admin_view(user_api_key_dict):
+        permitted_agent_ids = await AgentRequestHandler.get_allowed_agents(
+            user_api_key_auth=user_api_key_dict
+        )
+        # `get_allowed_agents` returns an empty list when the caller's key
+        # and team carry no agent restrictions. For activity scoping that's
+        # not "see everything" — fall back to the agents the caller
+        # created so they cannot enumerate other tenants' agents.
+        # Guard against `user_id is None`: a literal None in Prisma
+        # `where={"created_by": None}` resolves to ``created_by IS NULL``
+        # and would expose every ownerless agent's rows.
+        if not permitted_agent_ids:
+            if user_api_key_dict.user_id is None:
+                permitted_agent_ids = []
+            else:
+                owned_records = await prisma_client.db.litellm_agentstable.find_many(
+                    where={"created_by": user_api_key_dict.user_id}
+                )
+                permitted_agent_ids = [a.agent_id for a in owned_records]
+
+        if agent_ids_list:
+            permitted_agent_id_set = set(permitted_agent_ids)
+            agent_ids_list = [
+                aid for aid in agent_ids_list if aid in permitted_agent_id_set
+            ]
+        else:
+            agent_ids_list = list(permitted_agent_ids)
+
+        # No accessible agents → return an empty page without querying.
+        if not agent_ids_list:
+            return SpendAnalyticsPaginatedResponse(
+                results=[],
+                metadata=DailySpendMetadata(
+                    total_spend=0.0,
+                    total_prompt_tokens=0,
+                    total_completion_tokens=0,
+                    total_tokens=0,
+                    total_api_requests=0,
+                    total_successful_requests=0,
+                    total_failed_requests=0,
+                    total_cache_read_input_tokens=0,
+                    total_cache_creation_input_tokens=0,
+                    page=page,
+                    total_pages=0,
+                    has_more=False,
+                ),
+            )
+
     if agent_ids_list:
         where_condition["agent_id"] = {"in": list(agent_ids_list)}
 
diff --git a/litellm/proxy/auth/auth_checks.py b/litellm/proxy/auth/auth_checks.py
index 754488367e2..1b6bd3aff21 100644
--- a/litellm/proxy/auth/auth_checks.py
+++ b/litellm/proxy/auth/auth_checks.py
@@ -3547,7 +3547,13 @@ async def _check_team_member_budget(
                     prisma_client=prisma_client,
                     user_api_key_cache=user_api_key_cache,
                 )
-                if default_budget is not None:
+                # Treat 0 on the team default as "no cap".
+                # Per-member rows still respect 0 as an explicit admin disable.
+                if (
+                    default_budget is not None
+                    and default_budget.max_budget is not None
+                    and default_budget.max_budget > 0
+                ):
                     team_member_budget = default_budget.max_budget
 
         if team_member_budget is not None:
diff --git a/litellm/proxy/auth/auth_utils.py b/litellm/proxy/auth/auth_utils.py
index 51108827f6b..567b8307af2 100644
--- a/litellm/proxy/auth/auth_utils.py
+++ b/litellm/proxy/auth/auth_utils.py
@@ -2,7 +2,7 @@ import os
 import re
 import sys
 from functools import lru_cache
-from typing import Any, Dict, List, Mapping, Optional, Tuple, Union
+from typing import Any, Dict, FrozenSet, List, Mapping, Optional, Tuple, Union
 
 from fastapi import HTTPException, Request, status
 
@@ -173,9 +173,71 @@ def _allow_model_level_clientside_configurable_parameters(
 # threat shape should be added here.
 _NESTED_CONFIG_KEYS: Tuple[str, ...] = ("litellm_embedding_config",)
 
-# Banned root-level params. Same list applies to every entry in
-# ``_NESTED_CONFIG_KEYS`` because those dicts get spread as ``**kwargs``
-# into the same outbound calls.
+# Metadata containers that carry per-request configuration consumed by the
+# observability callbacks. The same banned-param list applies — a value
+# under ``metadata.langfuse_host`` redirects the same Langfuse client and
+# leaks the same credentials as the root-level ``langfuse_host``, but the
+# original check only walked the request-body root, so the metadata path
+# was an unintentional bypass.
+_NESTED_METADATA_KEYS: Tuple[str, ...] = ("metadata", "litellm_metadata")
+
+# Banned request-body params. The same list applies to every entry in
+# ``_NESTED_CONFIG_KEYS`` (dicts spread as ``**kwargs`` into outbound
+# calls) and ``_NESTED_METADATA_KEYS`` (dicts read directly by integration
+# callbacks), so a single banned name is enforced wherever the field can
+# reach the call path from.
+# Per-request observability params that are SAFE to accept from clients.
+# These describe the request being logged (prompt version, sampling rate)
+# without choosing the destination or the credentials, so they don't
+# contribute to the data-exfil primitive that the rest of
+# ``_supported_callback_params`` does.
+_SAFE_CLIENT_CALLBACK_PARAMS: FrozenSet[str] = frozenset(
+    {
+        "langfuse_prompt_version",
+        "langsmith_sampling_rate",
+    }
+)
+
+# Observability fields that integrations read from the request body or
+# metadata but that are not (yet) listed in ``_supported_callback_params``.
+# Listed here so the proxy bans them today; the long-term cleanup is to
+# fold these into the canonical allowlist so they share one source of
+# truth with the rest.
+_EXTRA_BANNED_OBSERVABILITY_PARAMS: FrozenSet[str] = frozenset(
+    {
+        "posthog_api_url",
+        "phoenix_project_name",
+        "wandb_api_key",
+        "weave_project_id",
+    }
+)
+
+
+def _build_banned_observability_params() -> FrozenSet[str]:
+    """Derive the observability ban list from the canonical allowlist.
+
+    ``_supported_callback_params`` and ``_request_blocked_callback_params`` in
+    ``litellm/litellm_core_utils/initialize_dynamic_callback_params.py`` is
+    the single place that enumerates every observability field integrations
+    resolve from kwargs/metadata, plus fields that integration code explicitly
+    blocks from request-supplied callback params. Subtract the small set of
+    informational fields (``_SAFE_CLIENT_CALLBACK_PARAMS``) and union with the
+    extras the canonical allowlist hasn't caught up to yet. New integrations
+    added to the canonical allowlist are banned by default, which is the safe
+    failure mode.
+    """
+    from litellm.litellm_core_utils.initialize_dynamic_callback_params import (
+        _request_blocked_callback_params,
+        _supported_callback_params,
+    )
+
+    return (
+        (frozenset(_supported_callback_params) - _SAFE_CLIENT_CALLBACK_PARAMS)
+        | frozenset(_request_blocked_callback_params)
+        | _EXTRA_BANNED_OBSERVABILITY_PARAMS
+    )
+
+
 _BANNED_REQUEST_BODY_PARAMS: Tuple[str, ...] = (
     "api_base",
     "base_url",
@@ -190,11 +252,6 @@ _BANNED_REQUEST_BODY_PARAMS: Tuple[str, ...] = (
     # tokens) to the attacker's host, or coerces the proxy into
     # authenticating against the attacker's host with admin secrets.
     "aws_bedrock_runtime_endpoint",
-    "langsmith_base_url",
-    "langfuse_host",
-    "posthog_host",
-    "braintrust_host",
-    "slack_webhook_url",
     # Provider-specific endpoint overrides that flow into the outbound
     # request via ``optional_params``. Same threat as ``api_base``:
     # ``s3_endpoint_url`` redirects Bedrock file uploads to attacker
@@ -203,6 +260,11 @@ _BANNED_REQUEST_BODY_PARAMS: Tuple[str, ...] = (
     "s3_endpoint_url",
     "sagemaker_base_url",
     "deployment_url",
+    # Observability credentials, hosts, and project identifiers: derived
+    # from the canonical ``_supported_callback_params`` allowlist so new
+    # integrations are covered automatically. Sorted for stable iteration
+    # order and reviewable diffs.
+    *sorted(_build_banned_observability_params()),
 )
 
 
@@ -221,6 +283,8 @@ def _check_banned_params(
         if param not in body:
             continue
         if general_settings.get("allow_client_side_credentials") is True:
+            # Proxy-wide opt-in: every banned param is permitted, exit
+            # entirely so the rest of the loop doesn't waste work.
             return
         if (
             _allow_model_level_clientside_configurable_parameters(
@@ -231,7 +295,12 @@ def _check_banned_params(
             )
             is True
         ):
-            return
+            # Per-param opt-in: only THIS param is permitted by the
+            # deployment's ``configurable_clientside_auth_params``. Skip
+            # to the next banned param so a body that pairs an allowed
+            # ``api_base`` with an unallowed ``langfuse_host`` is still
+            # rejected for the second field.
+            continue
         raise ValueError(
             f"Rejected Request: {param} is not allowed in request body. "
             "Clientside passthrough requires explicit admin opt-in via "
@@ -275,9 +344,33 @@ def is_request_body_safe(
         nested = request_body.get(nested_key)
         if isinstance(nested, dict):
             _check_banned_params(nested, general_settings, llm_router, model)
+    for metadata_key in _NESTED_METADATA_KEYS:
+        metadata = _coerce_metadata_to_dict(request_body.get(metadata_key))
+        if metadata is not None:
+            _check_banned_params(metadata, general_settings, llm_router, model)
     return True
 
 
+def _coerce_metadata_to_dict(value: Any) -> Optional[Dict[str, Any]]:
+    """Return ``value`` as a dict, parsing it from JSON if delivered as a string.
+
+    Multipart/form-data and ``extra_body`` callers send ``litellm_metadata``
+    as a JSON-encoded string; the proxy parses it into a dict later in
+    ``add_litellm_data_to_request``, but the auth-time bouncer runs first
+    and would otherwise miss the banned-param check on a still-stringified
+    metadata blob.
+    """
+    if isinstance(value, dict):
+        return value
+    if isinstance(value, str):
+        from litellm.litellm_core_utils.safe_json_loads import safe_json_loads
+
+        parsed = safe_json_loads(value)
+        if isinstance(parsed, dict):
+            return parsed
+    return None
+
+
 async def pre_db_read_auth_checks(
     request: Request,
     request_data: dict,
diff --git a/litellm/proxy/auth/route_checks.py b/litellm/proxy/auth/route_checks.py
index dba29f84133..8bcfbb67539 100644
--- a/litellm/proxy/auth/route_checks.py
+++ b/litellm/proxy/auth/route_checks.py
@@ -6,6 +6,7 @@ from fastapi import HTTPException, Request, status
 from litellm._logging import verbose_proxy_logger
 from litellm.proxy._types import (
     CommonProxyErrors,
+    KeyManagementRoutes,
     LiteLLM_UserTable,
     LiteLLMRoutes,
     LitellmUserRoles,
@@ -14,6 +15,49 @@ from litellm.proxy._types import (
 
 from .auth_checks_organization import _user_is_org_admin
 
+# Management write routes denied to PROXY_ADMIN_VIEW_ONLY. Adding a new write
+# endpoint to a management router REQUIRES adding it here too — the surrounding
+# check falls through to "allow" if the route is not matched, which previously
+# let view-only admins call /team/block, /team/unblock, /key/bulk_update, etc.
+_PROXY_ADMIN_VIEW_ONLY_BLOCKED_ROUTES = frozenset(
+    [
+        # user
+        "/user/new",
+        "/user/delete",
+        "/user/bulk_update",
+        # team
+        "/team/new",
+        "/team/update",
+        "/team/delete",
+        "/team/block",
+        "/team/unblock",
+        "/team/permissions_update",
+        "/team/permissions_bulk_update",
+        # model
+        "/model/new",
+        "/model/update",
+        "/model/delete",
+        # JWT key mapping
+        "/jwt/key/mapping/new",
+        "/jwt/key/mapping/update",
+        "/jwt/key/mapping/delete",
+        # key management — keep in sync with KeyManagementRoutes write entries
+        KeyManagementRoutes.KEY_GENERATE.value,
+        KeyManagementRoutes.KEY_UPDATE.value,
+        KeyManagementRoutes.KEY_DELETE.value,
+        KeyManagementRoutes.KEY_REGENERATE.value,
+        KeyManagementRoutes.KEY_GENERATE_SERVICE_ACCOUNT.value,
+        KeyManagementRoutes.KEY_BLOCK.value,
+        KeyManagementRoutes.KEY_UNBLOCK.value,
+        KeyManagementRoutes.KEY_BULK_UPDATE.value,
+    ]
+)
+
+# Suffixes for `/key/{key_id}/...` path-parameterized write routes that the
+# enum templates with `{key_id}`. The blocklist above can't match templated
+# paths directly because the request route carries the resolved key id.
+_PROXY_ADMIN_VIEW_ONLY_BLOCKED_KEY_SUFFIXES = ("/regenerate", "/reset_spend")
+
 
 class RouteChecks:
     @staticmethod
@@ -664,6 +708,31 @@ class RouteChecks:
                 detail=f"user not allowed to access this OpenAI routes, role= {_user_role}",
             )
 
+        # Check if this is a write operation on management routes
+        if RouteChecks.check_route_access(
+            route=route, allowed_routes=LiteLLMRoutes.management_routes.value
+        ):
+            # For management routes, only allow read operations or specific allowed updates
+            if route == "/user/update":
+                # Check the Request params are valid for PROXY_ADMIN_VIEW_ONLY
+                if request_data is not None and isinstance(request_data, dict):
+                    _params_updated = request_data.keys()
+                    for param in _params_updated:
+                        if param not in ["user_email", "password"]:
+                            raise HTTPException(
+                                status_code=status.HTTP_403_FORBIDDEN,
+                                detail=f"user not allowed to access this route, role= {_user_role}. Trying to access: {route} and updating invalid param: {param}. only user_email and password can be updated",
+                            )
+            elif route in _PROXY_ADMIN_VIEW_ONLY_BLOCKED_ROUTES or (
+                route.startswith("/key/")
+                and route.endswith(_PROXY_ADMIN_VIEW_ONLY_BLOCKED_KEY_SUFFIXES)
+            ):
+                # Block write operations for PROXY_ADMIN_VIEW_ONLY
+                raise HTTPException(
+                    status_code=status.HTTP_403_FORBIDDEN,
+                    detail=f"user not allowed to access this route, role= {_user_role}. Trying to access: {route}",
+                )
+            # Allow read operations on management routes (like /user/info, /team/info, /model/info)
         method = request.method.upper() if request is not None else "GET"
         is_safe_method = method in RouteChecks._SAFE_HTTP_METHODS
 
diff --git a/litellm/proxy/auth/user_api_key_auth.py b/litellm/proxy/auth/user_api_key_auth.py
index 9159a8ff9da..9d3c06e641f 100644
--- a/litellm/proxy/auth/user_api_key_auth.py
+++ b/litellm/proxy/auth/user_api_key_auth.py
@@ -87,6 +87,23 @@ except ImportError as e:
 
 user_api_key_service_logger_obj = ServiceLogging()  # used for tracking latency on OTEL
 
+
+def _normalize_public_auth_route(route: str) -> str:
+    if route != "/" and route.endswith("/"):
+        return route.rstrip("/")
+    return route
+
+
+def _route_requires_auth_despite_public(
+    route: str, general_settings: Optional[dict]
+) -> bool:
+    normalized_route = _normalize_public_auth_route(route)
+    if normalized_route == "/metrics":
+        return litellm.require_auth_for_metrics_endpoint is not False
+
+    return False
+
+
 custom_litellm_key_header = APIKeyHeader(
     name=SpecialHeaders.custom_litellm_api_key.value,
     auto_error=False,
@@ -714,7 +731,9 @@ async def _user_api_key_auth_builder(  # noqa: PLR0915
         """
 
         ######## Route Checks Before Reading DB / Cache for "token" ################
-        if (
+        if not _route_requires_auth_despite_public(
+            route=route, general_settings=general_settings
+        ) and (
             route in LiteLLMRoutes.public_routes.value  # type: ignore
             or route_in_additonal_public_routes(current_route=route)
         ):
@@ -1307,6 +1326,15 @@ async def _user_api_key_auth_builder(  # noqa: PLR0915
                     )
                     user_obj = None
 
+                if (
+                    user_obj is not None
+                    and isinstance(user_obj.metadata, dict)
+                    and user_obj.metadata.get("scim_active") is False
+                ):
+                    raise Exception(
+                        f"User={valid_token.user_id} has been deactivated via SCIM. Keys owned by this user cannot be used."
+                    )
+
             # Check 2a. Check if model has zero cost - if so, skip all budget checks
             model = _get_model_from_request_context(
                 request_data=request_data,
@@ -1698,7 +1726,7 @@ async def _run_centralized_common_checks(
         user_custom_auth,
     )
 
-    # Public routes (e.g. /health/readiness, /metrics) are exempt from
+    # Public routes (e.g. /health/liveness) are exempt from
     # auth in the builder — the wrapper must not retroactively apply
     # authz on top, or k8s readiness probes and other unauthenticated
     # callers get 401.
diff --git a/litellm/proxy/common_utils/debug_utils.py b/litellm/proxy/common_utils/debug_utils.py
index 99eeeda1c86..9b2c3ddce46 100644
--- a/litellm/proxy/common_utils/debug_utils.py
+++ b/litellm/proxy/common_utils/debug_utils.py
@@ -50,7 +50,10 @@ def configure_gc_thresholds():
 configure_gc_thresholds()
 
 
-@router.get("/debug/asyncio-tasks")
+@router.get(
+    "/debug/asyncio-tasks",
+    dependencies=[Depends(user_api_key_auth)],
+)
 async def get_active_tasks_stats():
     """
     Returns:
@@ -103,7 +106,11 @@ if os.environ.get("LITELLM_PROFILE", "false").lower() == "true":
 
     tracemalloc.start(10)
 
-    @router.get("/memory-usage", include_in_schema=False)
+    @router.get(
+        "/memory-usage",
+        dependencies=[Depends(user_api_key_auth)],
+        include_in_schema=False,
+    )
     async def memory_usage():
         # Take a snapshot of the current memory usage
         snapshot = tracemalloc.take_snapshot()
@@ -711,7 +718,11 @@ async def configure_gc_thresholds_endpoint(
     }
 
 
-@router.get("/otel-spans", include_in_schema=False)
+@router.get(
+    "/otel-spans",
+    dependencies=[Depends(user_api_key_auth)],
+    include_in_schema=False,
+)
 async def get_otel_spans():
     from litellm.proxy.proxy_server import open_telemetry_logger
 
diff --git a/litellm/proxy/common_utils/resource_ownership.py b/litellm/proxy/common_utils/resource_ownership.py
new file mode 100644
index 00000000000..936c4e18bde
--- /dev/null
+++ b/litellm/proxy/common_utils/resource_ownership.py
@@ -0,0 +1,92 @@
+from typing import List, Optional
+
+from litellm.proxy._types import LitellmUserRoles, UserAPIKeyAuth
+
+
+def is_proxy_admin(user_api_key_dict: Optional[UserAPIKeyAuth]) -> bool:
+    if user_api_key_dict is None:
+        return False
+
+    return (
+        user_api_key_dict.user_role == LitellmUserRoles.PROXY_ADMIN
+        or user_api_key_dict.user_role == LitellmUserRoles.PROXY_ADMIN.value
+    )
+
+
+def get_resource_owner_scopes(
+    user_api_key_dict: Optional[UserAPIKeyAuth],
+) -> List[str]:
+    """
+    Return ownership scopes that may access a user-created proxy resource.
+
+    Raw user_id is included for rows created before scope prefixes existed.
+    Prefixes avoid collisions when falling back to team/org/key ownership
+    for keys that do not have a user_id.
+
+    Identity-less callers (no user_id, team_id, org_id, api_key, or token)
+    return ``[]`` — they share no scope with any other caller, so access
+    checks against an existing owner always fail and creates that depend
+    on a primary scope must reject up front. Returning a shared sentinel
+    here would let any two identity-less callers see each other's data.
+    """
+    if user_api_key_dict is None:
+        return []
+
+    scopes: List[str] = []
+
+    def _add(scope: Optional[str]) -> None:
+        if scope and scope not in scopes:
+            scopes.append(scope)
+
+    if user_api_key_dict.user_id:
+        _add(user_api_key_dict.user_id)
+        _add(f"user:{user_api_key_dict.user_id}")
+    if user_api_key_dict.team_id:
+        _add(f"team:{user_api_key_dict.team_id}")
+    if user_api_key_dict.org_id:
+        _add(f"org:{user_api_key_dict.org_id}")
+    if user_api_key_dict.api_key:
+        _add(f"key:{user_api_key_dict.api_key}")
+    if user_api_key_dict.token:
+        _add(f"key:{user_api_key_dict.token}")
+
+    return scopes
+
+
+def get_primary_resource_owner_scope(
+    user_api_key_dict: Optional[UserAPIKeyAuth],
+) -> Optional[str]:
+    """Return the canonical owner scope to stamp on newly-created rows.
+
+    ``None`` for identity-less callers — callers that depend on a primary
+    scope to record ownership must surface that as a hard error rather
+    than fall back to a shared sentinel (which would collapse every
+    identity-less caller into the same logical owner).
+    """
+    if user_api_key_dict is None:
+        return None
+
+    if user_api_key_dict.user_id:
+        return user_api_key_dict.user_id
+    if user_api_key_dict.team_id:
+        return f"team:{user_api_key_dict.team_id}"
+    if user_api_key_dict.org_id:
+        return f"org:{user_api_key_dict.org_id}"
+    if user_api_key_dict.api_key:
+        return f"key:{user_api_key_dict.api_key}"
+    if user_api_key_dict.token:
+        return f"key:{user_api_key_dict.token}"
+    return None
+
+
+def user_can_access_resource_owner(
+    owner: Optional[str],
+    user_api_key_dict: Optional[UserAPIKeyAuth],
+) -> bool:
+    if user_api_key_dict is None:
+        return True
+    if is_proxy_admin(user_api_key_dict):
+        return True
+    if owner is None:
+        return False
+    return owner in get_resource_owner_scopes(user_api_key_dict)
diff --git a/litellm/proxy/container_endpoints/endpoints.py b/litellm/proxy/container_endpoints/endpoints.py
index 45870d73d4b..9650604bf81 100644
--- a/litellm/proxy/container_endpoints/endpoints.py
+++ b/litellm/proxy/container_endpoints/endpoints.py
@@ -2,9 +2,10 @@
 
 from typing import Any, Dict
 
-from fastapi import APIRouter, Depends, Request, Response
+from fastapi import APIRouter, Depends, HTTPException, Request, Response
 from fastapi.responses import ORJSONResponse
 
+from litellm._logging import verbose_proxy_logger
 from litellm.proxy._types import *
 from litellm.proxy.auth.user_api_key_auth import UserAPIKeyAuth, user_api_key_auth
 from litellm.proxy.common_request_processing import ProxyBaseLLMRequestProcessing
@@ -14,6 +15,12 @@ from litellm.proxy.common_utils.openai_endpoint_utils import (
     get_custom_llm_provider_from_request_headers,
     get_custom_llm_provider_from_request_query,
 )
+from litellm.proxy.container_endpoints.ownership import (
+    assert_user_can_access_container,
+    filter_container_list_response,
+    get_container_forwarding_params,
+    record_container_owner,
+)
 
 router = APIRouter()
 
@@ -98,7 +105,7 @@ async def create_container(
     # Process request using ProxyBaseLLMRequestProcessing
     processor = ProxyBaseLLMRequestProcessing(data=data)
     try:
-        return await processor.base_process_llm_request(
+        response = await processor.base_process_llm_request(
             request=request,
             fastapi_response=fastapi_response,
             user_api_key_dict=user_api_key_dict,
@@ -124,6 +131,31 @@ async def create_container(
             version=version,
         )
 
+    # Ownership recording sits between the upstream create and the response
+    # to the caller. The recorder swallows DB errors internally (falling
+    # back to in-memory tracking) and only surfaces HTTPException on auth
+    # conflicts; we let those propagate verbatim so the client sees the
+    # real status code rather than a generic LLM error wrapper.
+    try:
+        return await record_container_owner(
+            response=response,
+            user_api_key_dict=user_api_key_dict,
+            custom_llm_provider=custom_llm_provider,
+        )
+    except HTTPException:
+        raise
+    except Exception as e:
+        # Unexpected (non-HTTPException) failure after upstream create.
+        # The container exists upstream but is now untracked — log loudly
+        # so an operator can reconcile, and return the response so the
+        # caller does not get charged for a resource they cannot use.
+        verbose_proxy_logger.exception(
+            "Container ownership recording failed after upstream create; "
+            "returning response with untracked ownership: %s",
+            e,
+        )
+        return response
+
 
 @router.get(
     "/v1/containers",
@@ -191,7 +223,7 @@ async def list_containers(
     # Process request using ProxyBaseLLMRequestProcessing
     processor = ProxyBaseLLMRequestProcessing(data=data)
     try:
-        return await processor.base_process_llm_request(
+        response = await processor.base_process_llm_request(
             request=request,
             fastapi_response=fastapi_response,
             user_api_key_dict=user_api_key_dict,
@@ -217,6 +249,16 @@ async def list_containers(
             version=version,
         )
 
+    # Ownership filtering runs OUTSIDE the LLM-exception scope: a DB error
+    # in the ownership lookup is not an LLM-API error and shouldn't be
+    # translated to a provider-shaped failure (which would also fire the
+    # post_call_failure_hook for what is in fact a successful upstream call).
+    return await filter_container_list_response(
+        response=response,
+        user_api_key_dict=user_api_key_dict,
+        custom_llm_provider=custom_llm_provider,
+    )
+
 
 @router.get(
     "/v1/containers/{container_id}",
@@ -280,7 +322,18 @@ async def retrieve_container(
     )
 
     # Add custom_llm_provider to data
-    data["custom_llm_provider"] = custom_llm_provider
+    original_container_id, custom_llm_provider = await assert_user_can_access_container(
+        container_id=container_id,
+        user_api_key_dict=user_api_key_dict,
+        custom_llm_provider=custom_llm_provider,
+    )
+    data.update(
+        get_container_forwarding_params(
+            container_id,
+            original_container_id,
+            custom_llm_provider,
+        )
+    )
 
     # Process request using ProxyBaseLLMRequestProcessing
     processor = ProxyBaseLLMRequestProcessing(data=data)
@@ -374,7 +427,18 @@ async def delete_container(
     )
 
     # Add custom_llm_provider to data
-    data["custom_llm_provider"] = custom_llm_provider
+    original_container_id, custom_llm_provider = await assert_user_can_access_container(
+        container_id=container_id,
+        user_api_key_dict=user_api_key_dict,
+        custom_llm_provider=custom_llm_provider,
+    )
+    data.update(
+        get_container_forwarding_params(
+            container_id,
+            original_container_id,
+            custom_llm_provider,
+        )
+    )
 
     # Process request using ProxyBaseLLMRequestProcessing
     processor = ProxyBaseLLMRequestProcessing(data=data)
diff --git a/litellm/proxy/container_endpoints/handler_factory.py b/litellm/proxy/container_endpoints/handler_factory.py
index 794051e90f8..4284cdd5d4a 100644
--- a/litellm/proxy/container_endpoints/handler_factory.py
+++ b/litellm/proxy/container_endpoints/handler_factory.py
@@ -19,6 +19,10 @@ from litellm.proxy.common_utils.openai_endpoint_utils import (
     get_custom_llm_provider_from_request_headers,
     get_custom_llm_provider_from_request_query,
 )
+from litellm.proxy.container_endpoints.ownership import (
+    assert_user_can_access_container,
+    get_container_forwarding_params,
+)
 
 
 def _load_endpoints_config() -> Dict:
@@ -161,8 +165,9 @@ async def _process_binary_request(
     """
     Process binary content requests through the standard proxy/router pipeline.
 
-    The router owns managed container ID decoding and deployment selection. This
-    handler only adapts the byte response to FastAPI.
+    Validate ownership before forwarding the provider-native container id through
+    the standard proxy/router pipeline. This handler only adapts the byte
+    response to FastAPI.
     """
     from litellm.proxy.proxy_server import (
         general_settings,
@@ -183,10 +188,19 @@ async def _process_binary_request(
         or get_custom_llm_provider_from_request_query(request=request)
         or "openai"
     )
+
+    original_container_id, resolved_provider = await assert_user_can_access_container(
+        container_id=container_id,
+        user_api_key_dict=user_api_key_dict,
+        custom_llm_provider=custom_llm_provider,
+    )
     data: Dict[str, Any] = {
-        "container_id": container_id,
         "file_id": file_id,
-        "custom_llm_provider": custom_llm_provider,
+        **get_container_forwarding_params(
+            container_id=container_id,
+            original_container_id=original_container_id,
+            custom_llm_provider=resolved_provider,
+        ),
     }
     processor = ProxyBaseLLMRequestProcessing(data=data)
 
@@ -295,8 +309,19 @@ async def _process_multipart_upload_request(
         or "openai"
     )
 
-    data["container_id"] = container_id
-    data["custom_llm_provider"] = custom_llm_provider
+    original_container_id, resolved_provider = await assert_user_can_access_container(
+        container_id=container_id,
+        user_api_key_dict=user_api_key_dict,
+        custom_llm_provider=custom_llm_provider,
+    )
+
+    data.update(
+        get_container_forwarding_params(
+            container_id=container_id,
+            original_container_id=original_container_id,
+            custom_llm_provider=resolved_provider,
+        )
+    )
 
     processor = ProxyBaseLLMRequestProcessing(data=data)
     try:
@@ -361,7 +386,24 @@ async def _process_request(
         or "openai"
     )
 
-    data["custom_llm_provider"] = custom_llm_provider
+    # Validate container_id ownership if present in path_params.
+    if "container_id" in path_params:
+        original_container_id, resolved_provider = (
+            await assert_user_can_access_container(
+                container_id=path_params["container_id"],
+                user_api_key_dict=user_api_key_dict,
+                custom_llm_provider=custom_llm_provider,
+            )
+        )
+        data.update(
+            get_container_forwarding_params(
+                container_id=path_params["container_id"],
+                original_container_id=original_container_id,
+                custom_llm_provider=resolved_provider,
+            )
+        )
+    else:
+        data["custom_llm_provider"] = custom_llm_provider
 
     processor = ProxyBaseLLMRequestProcessing(data=data)
     try:
diff --git a/litellm/proxy/container_endpoints/ownership.py b/litellm/proxy/container_endpoints/ownership.py
new file mode 100644
index 00000000000..568eca523ae
--- /dev/null
+++ b/litellm/proxy/container_endpoints/ownership.py
@@ -0,0 +1,334 @@
+import json
+from typing import Any, Dict, List, Optional, Set, Tuple
+
+from fastapi import HTTPException
+
+from litellm._logging import verbose_proxy_logger
+from litellm.caching.in_memory_cache import InMemoryCache
+from litellm.proxy._types import UserAPIKeyAuth
+from litellm.proxy.common_utils.resource_ownership import (
+    get_primary_resource_owner_scope,
+    get_resource_owner_scopes,
+    is_proxy_admin,
+    user_can_access_resource_owner,
+)
+from litellm.responses.utils import ResponsesAPIRequestUtils
+
+CONTAINER_OBJECT_PURPOSE = "container"
+
+# 60s LRU/TTL cache absorbs every container access check before it reaches
+# Prisma. ``_NEGATIVE_OWNER_SENTINEL`` lets us cache a true "untracked"
+# answer so repeated misses also avoid the DB — ``InMemoryCache`` returns
+# ``None`` indistinguishably for "miss" and "cached as None".
+_NEGATIVE_OWNER_SENTINEL = "__litellm_container_no_owner__"
+_CONTAINER_OWNER_CACHE = InMemoryCache(max_size_in_memory=10000, default_ttl=60)
+
+# Per-caller-scope cache for ``GET /v1/containers`` list filtering. Without
+# this, every list call issues a fresh ``find_many`` against
+# ``litellm_managedobjecttable``. The cache key is the sorted owner-scope
+# tuple — different keys for the same user share the same allow-set, but
+# different users with different scopes get disjoint cache entries.
+_ALLOWED_CONTAINER_IDS_CACHE = InMemoryCache(max_size_in_memory=2048, default_ttl=60)
+
+
+def _allowed_container_ids_cache_key(owner_scopes: List[str]) -> str:
+    """JSON-encode the sorted scope list — using a separator like ``|``
+    would collide for any tenant whose user_id / team_id / org_id /
+    api_key happens to contain the separator. JSON quoting escapes
+    every separator that matters."""
+    return json.dumps(sorted(owner_scopes))
+
+
+def _container_model_object_id(
+    original_container_id: str, custom_llm_provider: str
+) -> str:
+    return f"{CONTAINER_OBJECT_PURPOSE}:{custom_llm_provider}:{original_container_id}"
+
+
+def decode_container_id_for_ownership(
+    container_id: str, custom_llm_provider: str
+) -> Tuple[str, str]:
+    decoded = ResponsesAPIRequestUtils._decode_container_id(container_id)
+    original_container_id = decoded.get("response_id", container_id)
+    decoded_provider = decoded.get("custom_llm_provider")
+    if decoded_provider and custom_llm_provider == "openai":
+        custom_llm_provider = decoded_provider
+    return original_container_id, custom_llm_provider
+
+
+def get_container_forwarding_params(
+    container_id: str, original_container_id: str, custom_llm_provider: str
+) -> Dict[str, str]:
+    params = {
+        "container_id": original_container_id,
+        "custom_llm_provider": custom_llm_provider,
+    }
+    decoded = ResponsesAPIRequestUtils._decode_container_id(container_id)
+    model_id = decoded.get("model_id")
+    if isinstance(model_id, str) and model_id:
+        params["model_id"] = model_id
+    return params
+
+
+def _get_response_id(response: Any) -> Optional[str]:
+    if response is None:
+        return None
+    if isinstance(response, dict):
+        value = response.get("id")
+    else:
+        value = getattr(response, "id", None)
+    return value if isinstance(value, str) else None
+
+
+def _dump_response(response: Any) -> Dict[str, Any]:
+    if isinstance(response, dict):
+        return dict(response)
+    if hasattr(response, "model_dump"):
+        return response.model_dump()
+    if hasattr(response, "dict"):
+        return response.dict()
+    return {"id": _get_response_id(response)}
+
+
+async def _get_prisma_client():
+    from litellm.proxy.proxy_server import prisma_client
+
+    return prisma_client
+
+
+async def record_container_owner(
+    response: Any,
+    user_api_key_dict: UserAPIKeyAuth,
+    custom_llm_provider: str,
+) -> Any:
+    container_id = _get_response_id(response)
+    if container_id is None:
+        verbose_proxy_logger.warning(
+            "Skipping container ownership tracking because provider response has no id"
+        )
+        return response
+    owner = get_primary_resource_owner_scope(user_api_key_dict)
+    if owner is None:
+        # Admins with identity (the common path: master-key auth populates
+        # ``user_id`` + ``api_key``) flow through the normal record path
+        # below so admin-created containers are still tracked. Truly
+        # identity-less admins (no user_id / team_id / org_id / api_key /
+        # token) can't be uniquely stamped on the row — stamping a
+        # placeholder would collapse every such caller into a shared
+        # owner, the cross-tenant primitive we explicitly avoid.
+        raise HTTPException(
+            status_code=403,
+            detail="Unable to record container ownership: caller has no identity scope.",
+        )
+
+    original_container_id, resolved_provider = decode_container_id_for_ownership(
+        container_id, custom_llm_provider
+    )
+    model_object_id = _container_model_object_id(
+        original_container_id, resolved_provider
+    )
+    file_object = _dump_response(response)
+    file_object["custom_llm_provider"] = resolved_provider
+    file_object["provider_container_id"] = original_container_id
+
+    prisma_client = await _get_prisma_client()
+    if prisma_client is None:
+        verbose_proxy_logger.warning(
+            "Skipping container ownership tracking because prisma_client is None"
+        )
+        return response
+
+    table = prisma_client.db.litellm_managedobjecttable
+    existing = await table.find_unique(where={"model_object_id": model_object_id})
+    if existing is not None:
+        if getattr(existing, "file_purpose", None) != CONTAINER_OBJECT_PURPOSE:
+            raise HTTPException(status_code=500, detail="Unable to track container")
+        if not user_can_access_resource_owner(
+            getattr(existing, "created_by", None), user_api_key_dict
+        ):
+            raise HTTPException(status_code=403, detail="Forbidden")
+        await table.update(
+            where={"model_object_id": model_object_id},
+            data={
+                "unified_object_id": container_id,
+                "file_object": file_object,
+                "updated_by": owner,
+            },
+        )
+    else:
+        await table.create(
+            data={
+                "unified_object_id": container_id,
+                "model_object_id": model_object_id,
+                "file_object": file_object,
+                "file_purpose": CONTAINER_OBJECT_PURPOSE,
+                "created_by": owner,
+                "updated_by": owner,
+            }
+        )
+
+    _CONTAINER_OWNER_CACHE.set_cache(model_object_id, owner)
+    # Drop the caller's own list-cache entry so the just-created container
+    # shows up on their next ``GET /v1/containers``. Other callers with
+    # disjoint scope tuples have their own entries; intersecting-scope
+    # tuples self-correct on the 60s TTL.
+    caller_scopes = get_resource_owner_scopes(user_api_key_dict)
+    if caller_scopes:
+        _ALLOWED_CONTAINER_IDS_CACHE.delete_cache(
+            _allowed_container_ids_cache_key(caller_scopes)
+        )
+    return response
+
+
+async def _get_container_owner(
+    original_container_id: str, custom_llm_provider: str
+) -> Optional[str]:
+    model_object_id = _container_model_object_id(
+        original_container_id, custom_llm_provider
+    )
+
+    cached = _CONTAINER_OWNER_CACHE.get_cache(model_object_id)
+    if cached == _NEGATIVE_OWNER_SENTINEL:
+        return None
+    if cached is not None:
+        return cached
+
+    prisma_client = await _get_prisma_client()
+    if prisma_client is None:
+        return None
+
+    row = await prisma_client.db.litellm_managedobjecttable.find_first(
+        where={
+            "model_object_id": model_object_id,
+            "file_purpose": CONTAINER_OBJECT_PURPOSE,
+        }
+    )
+    owner = getattr(row, "created_by", None) if row is not None else None
+    _CONTAINER_OWNER_CACHE.set_cache(
+        model_object_id, owner if owner is not None else _NEGATIVE_OWNER_SENTINEL
+    )
+    return owner
+
+
+async def assert_user_can_access_container(
+    container_id: str,
+    user_api_key_dict: UserAPIKeyAuth,
+    custom_llm_provider: str,
+) -> Tuple[str, str]:
+    original_container_id, resolved_provider = decode_container_id_for_ownership(
+        container_id, custom_llm_provider
+    )
+
+    if is_proxy_admin(user_api_key_dict):
+        return original_container_id, resolved_provider
+
+    # Untracked rows (no ownership) are admin-only. Pre-isolation rows
+    # that pre-date this enforcement need an admin to either re-create
+    # via the now-tracked flow or assign ``created_by`` on the row.
+    owner = await _get_container_owner(original_container_id, resolved_provider)
+    if not user_can_access_resource_owner(owner, user_api_key_dict):
+        raise HTTPException(status_code=403, detail="Forbidden")
+
+    return original_container_id, resolved_provider
+
+
+def _get_container_list_data(response: Any) -> Optional[List[Any]]:
+    if response is None:
+        return None
+    if isinstance(response, dict):
+        data = response.get("data")
+    else:
+        data = getattr(response, "data", None)
+    return data if isinstance(data, list) else None
+
+
+def _set_container_list_data(
+    response: Any, data: List[Any], removed_filtered_items: bool = False
+) -> Any:
+    if isinstance(response, dict):
+        response["data"] = data
+        if data:
+            response["first_id"] = _get_response_id(data[0])
+            response["last_id"] = _get_response_id(data[-1])
+        else:
+            response["first_id"] = None
+            response["last_id"] = None
+            response["has_more"] = False
+        if removed_filtered_items:
+            response["has_more"] = False
+        return response
+
+    response.data = data
+    response.first_id = _get_response_id(data[0]) if data else None
+    response.last_id = _get_response_id(data[-1]) if data else None
+    if not data and hasattr(response, "has_more"):
+        response.has_more = False
+    if removed_filtered_items and hasattr(response, "has_more"):
+        response.has_more = False
+    return response
+
+
+async def _get_allowed_container_ids(
+    user_api_key_dict: UserAPIKeyAuth,
+) -> Set[str]:
+    owner_scopes = get_resource_owner_scopes(user_api_key_dict)
+    if not owner_scopes:
+        return set()
+
+    cache_key = _allowed_container_ids_cache_key(owner_scopes)
+    cached = _ALLOWED_CONTAINER_IDS_CACHE.get_cache(cache_key)
+    if cached is not None:
+        return set(cached)
+
+    prisma_client = await _get_prisma_client()
+    if prisma_client is None:
+        return set()
+
+    rows = await prisma_client.db.litellm_managedobjecttable.find_many(
+        where={
+            "file_purpose": CONTAINER_OBJECT_PURPOSE,
+            "created_by": {"in": owner_scopes},
+        }
+    )
+    allowed_ids = {
+        row.model_object_id
+        for row in rows
+        if getattr(row, "model_object_id", None) is not None
+    }
+    # ``InMemoryCache.get_cache`` attempts ``json.loads`` on the stored
+    # value; passing a set would round-trip through that path
+    # unnecessarily. Store as a list and rehydrate above.
+    _ALLOWED_CONTAINER_IDS_CACHE.set_cache(cache_key, list(allowed_ids))
+    return allowed_ids
+
+
+async def filter_container_list_response(
+    response: Any,
+    user_api_key_dict: UserAPIKeyAuth,
+    custom_llm_provider: str,
+) -> Any:
+    if is_proxy_admin(user_api_key_dict):
+        return response
+
+    data = _get_container_list_data(response)
+    if data is None:
+        return response
+
+    allowed_container_ids = await _get_allowed_container_ids(user_api_key_dict)
+    filtered: List[Any] = []
+    for item in data:
+        container_id = _get_response_id(item)
+        if container_id is None:
+            continue
+        original_container_id, resolved_provider = decode_container_id_for_ownership(
+            container_id, custom_llm_provider
+        )
+        if (
+            _container_model_object_id(original_container_id, resolved_provider)
+            in allowed_container_ids
+        ):
+            filtered.append(item)
+
+    return _set_container_list_data(
+        response, filtered, removed_filtered_items=len(filtered) != len(data)
+    )
diff --git a/litellm/proxy/db/db_spend_update_writer.py b/litellm/proxy/db/db_spend_update_writer.py
index c06e1850d9f..3697e498bb4 100644
--- a/litellm/proxy/db/db_spend_update_writer.py
+++ b/litellm/proxy/db/db_spend_update_writer.py
@@ -60,6 +60,7 @@ from litellm.proxy.db.db_transaction_queue.tool_discovery_queue import (
     ToolDiscoveryQueue,
 )
 from litellm.proxy.route_llm_request import ROUTE_ENDPOINT_MAPPING
+from litellm.proxy.spend_tracking.spend_log_error_logger import spend_log_error
 
 if TYPE_CHECKING:
     from litellm.proxy.utils import PrismaClient, ProxyLogging
@@ -192,17 +193,16 @@ class DBSpendUpdateWriter:
 
             verbose_proxy_logger.debug("Runs spend update on all tables")
         except Exception:
-            verbose_proxy_logger.error(
+            spend_log_error(
                 "Spend tracking - update_database failed. Spend log insertion or daily transaction enqueue "
                 "may not have completed for this request. "
-                "response_cost=%s, token=%s, user_id=%s, team_id=%s, org_id=%s, end_user_id=%s - %s",
+                "response_cost=%s, token=%s, user_id=%s, team_id=%s, org_id=%s, end_user_id=%s",
                 response_cost,
                 token,
                 user_id,
                 team_id,
                 org_id,
                 end_user_id,
-                traceback.format_exc(),
             )
 
     def _enqueue_tool_registry_upsert(
@@ -491,9 +491,7 @@ class DBSpendUpdateWriter:
                 )
             )
         except Exception as e:
-            verbose_proxy_logger.exception(
-                f"Update Key DB Call failed to execute - {str(e)}"
-            )
+            spend_log_error("Update Key DB Call failed to execute - %s", str(e), exc=e)
             raise e
 
     async def _update_user_db(
@@ -540,14 +538,14 @@ class DBSpendUpdateWriter:
                         )
                     )
         except Exception as e:
-            verbose_proxy_logger.error(
+            spend_log_error(
                 "Spend tracking - failed to enqueue user spend update. "
-                "user_id=%s, end_user_id=%s, response_cost=%s - %s\n%s",
+                "user_id=%s, end_user_id=%s, response_cost=%s - %s",
                 user_id,
                 end_user_id,
                 response_cost,
                 str(e),
-                traceback.format_exc(),
+                exc=e,
             )
 
     async def _update_team_db(
@@ -585,23 +583,23 @@ class DBSpendUpdateWriter:
                         )
                     )
             except Exception as e:
-                verbose_proxy_logger.error(
+                spend_log_error(
                     "Spend tracking - failed to enqueue team member spend update. "
-                    "team_id=%s, user_id=%s, response_cost=%s - %s\n%s",
+                    "team_id=%s, user_id=%s, response_cost=%s - %s",
                     team_id,
                     user_id,
                     response_cost,
                     str(e),
-                    traceback.format_exc(),
+                    exc=e,
                 )
         except Exception as e:
-            verbose_proxy_logger.error(
+            spend_log_error(
                 "Spend tracking - failed to enqueue team spend update. "
-                "team_id=%s, response_cost=%s - %s\n%s",
+                "team_id=%s, response_cost=%s - %s",
                 team_id,
                 response_cost,
                 str(e),
-                traceback.format_exc(),
+                exc=e,
             )
             raise e
 
@@ -626,13 +624,13 @@ class DBSpendUpdateWriter:
                 )
             )
         except Exception as e:
-            verbose_proxy_logger.error(
+            spend_log_error(
                 "Spend tracking - failed to enqueue org spend update. "
-                "org_id=%s, response_cost=%s - %s\n%s",
+                "org_id=%s, response_cost=%s - %s",
                 org_id,
                 response_cost,
                 str(e),
-                traceback.format_exc(),
+                exc=e,
             )
             raise e
 
@@ -654,13 +652,13 @@ class DBSpendUpdateWriter:
                 )
             )
         except Exception as e:
-            verbose_proxy_logger.error(
+            spend_log_error(
                 "Spend tracking - failed to enqueue agent spend update. "
-                "agent_id=%s, response_cost=%s - %s\n%s",
+                "agent_id=%s, response_cost=%s - %s",
                 agent_id,
                 response_cost,
                 str(e),
-                traceback.format_exc(),
+                exc=e,
             )
             raise e
 
@@ -707,13 +705,13 @@ class DBSpendUpdateWriter:
                         )
                     )
         except Exception as e:
-            verbose_proxy_logger.error(
+            spend_log_error(
                 "Spend tracking - failed to enqueue tag spend update. "
-                "request_tags=%s, response_cost=%s - %s\n%s",
+                "request_tags=%s, response_cost=%s - %s",
                 request_tags,
                 response_cost,
                 str(e),
-                traceback.format_exc(),
+                exc=e,
             )
             raise e
 
@@ -906,11 +904,11 @@ class DBSpendUpdateWriter:
                         daily_spend_transactions=daily_agent_spend_update_transactions,
                     )
             except Exception as e:
-                verbose_proxy_logger.error(
+                spend_log_error(
                     "Spend tracking - failed to commit spend updates from Redis to DB. "
-                    "Data already popped from Redis may be lost. Error: %s\n%s",
+                    "Data already popped from Redis may be lost. Error: %s",
                     str(e),
-                    traceback.format_exc(),
+                    exc=e,
                 )
             finally:
                 await self.pod_lock_manager.release_lock(
@@ -1074,11 +1072,11 @@ class DBSpendUpdateWriter:
                         daily_spend_transactions=daily_tag_spend_update_transactions,
                     )
             except Exception as e:
-                verbose_proxy_logger.error(
+                spend_log_error(
                     "Spend tracking - failed to commit daily tag spend updates from Redis to DB. "
-                    "Data already popped from Redis may be lost. Error: %s\n%s",
+                    "Data already popped from Redis may be lost. Error: %s",
                     str(e),
-                    traceback.format_exc(),
+                    exc=e,
                 )
             finally:
                 await self.pod_lock_manager.release_lock(
@@ -1736,11 +1734,15 @@ class DBSpendUpdateWriter:
                     except Exception as batch_error:
                         # Log detailed error information for debugging batch upsert failures
                         # This helps diagnose issues like unique constraint violations
-                        verbose_proxy_logger.exception(
-                            f"Daily {entity_type} spend batch upsert failed. "
-                            f"Table: {table_name}, Constraint: {unique_constraint_name}, "
-                            f"Batch size: {len(transactions_to_process)}, "
-                            f"Error: {str(batch_error)}"
+                        spend_log_error(
+                            "Daily %s spend batch upsert failed. "
+                            "Table: %s, Constraint: %s, Batch size: %d, Error: %s",
+                            entity_type,
+                            table_name,
+                            unique_constraint_name,
+                            len(transactions_to_process),
+                            str(batch_error),
+                            exc=batch_error,
                         )
                         raise
 
diff --git a/litellm/proxy/guardrails/_content_utils.py b/litellm/proxy/guardrails/_content_utils.py
new file mode 100644
index 00000000000..7cad1352a79
--- /dev/null
+++ b/litellm/proxy/guardrails/_content_utils.py
@@ -0,0 +1,236 @@
+"""
+Shared helpers for guardrail hooks: extract text from a request body
+regardless of whether it uses Chat Completions ``messages``, Responses-API
+``input``, or multimodal list-format ``content`` parts.
+
+Hooks that only check ``data["messages"]`` for string content silently
+skip the other shapes — these helpers normalise that so every hook sees
+every text fragment.
+"""
+
+from typing import Any, Callable, Dict, FrozenSet, Iterator, List
+
+
+# Call types whose body carries free-form chat / prompt text that
+# text-content guardrails (banned keywords, content moderation, secret
+# detection, …) should inspect. The proxy ingress passes ``route_type``
+# straight through as ``call_type``, so the literal values here are
+# what the guardrail dispatcher actually receives:
+#
+#   /v1/chat/completions   -> "acompletion"
+#   /v1/responses          -> "aresponses"
+#
+# ``"completion"`` is included for SDK / internal callers that invoke
+# ``pre_call_hook`` directly with the sync name. Embedding, moderation,
+# audio, and transcription endpoints are deliberately excluded — text
+# guardrails on those paths are a separate scope.
+TEXT_CONTENT_CALL_TYPES: FrozenSet[str] = frozenset(
+    {"completion", "acompletion", "aresponses"}
+)
+
+
+def is_text_content_call_type(call_type: str) -> bool:
+    """Return True if ``call_type`` carries free-form text that text
+    guardrails should inspect (Chat Completions or Responses API)."""
+    return call_type in TEXT_CONTENT_CALL_TYPES
+
+
+def _iter_text_parts_in_content(content: Any) -> Iterator[str]:
+    """Yield text fragments from a ``message.content`` value (string or
+    multimodal list). Non-text parts (images, audio, …) are skipped."""
+    if isinstance(content, str):
+        if content:
+            yield content
+    elif isinstance(content, list):
+        for part in content:
+            if isinstance(part, str):
+                # A bare string in a content/input list is itself a text
+                # fragment (Responses-API mixed-list shape).
+                if part:
+                    yield part
+                continue
+            if not isinstance(part, dict):
+                continue
+            if part.get("type") == "text":
+                text = part.get("text")
+                if isinstance(text, str) and text:
+                    yield text
+
+
+def _coerce_input_to_messages(input_value: Any) -> List[Dict[str, Any]]:
+    """Coerce a Responses-API ``data["input"]`` value into chat-style messages."""
+    if isinstance(input_value, str):
+        return [{"role": "user", "content": input_value}]
+    if isinstance(input_value, list):
+        if input_value and all(
+            isinstance(item, dict) and "role" in item for item in input_value
+        ):
+            return list(input_value)
+        # Mixed lists (content-part dicts + bare strings) and pure
+        # string/dict lists all become a single user message; the content
+        # iterator below handles each element type uniformly.
+        return [{"role": "user", "content": input_value}]
+    return []
+
+
+def _iter_inspection_messages(data: Dict[str, Any]) -> Iterator[Dict[str, Any]]:
+    """Yield every message-like dict, walking ``messages`` AND ``input``."""
+    messages = data.get("messages")
+    if isinstance(messages, list):
+        yield from messages
+    yield from _coerce_input_to_messages(data.get("input"))
+
+
+def iter_message_text(data: Dict[str, Any]) -> Iterator[str]:
+    """Yield every text fragment from ``messages`` AND ``input``.
+
+    Walks every role (user, assistant, system, …) — guardrails inspect
+    the entire conversation, not just user turns.
+    """
+    for message in _iter_inspection_messages(data):
+        if not isinstance(message, dict):
+            continue
+        yield from _iter_text_parts_in_content(message.get("content"))
+
+
+def walk_user_text(data: Dict[str, Any], visit: Callable[[str], str]) -> int:
+    """Rewrite every text fragment in place via ``visit``.
+
+    Mutates ``data["messages"]`` and ``data["input"]``. Returns the number
+    of fragments visited so callers can short-circuit when nothing was
+    inspected.
+    """
+    visited = 0
+
+    def _rewrite_content(content: Any) -> Any:
+        nonlocal visited
+        if isinstance(content, str):
+            if content:
+                visited += 1
+                return visit(content)
+            return content
+        if isinstance(content, list):
+            new_parts: List[Any] = []
+            for part in content:
+                if isinstance(part, str) and part:
+                    visited += 1
+                    new_parts.append(visit(part))
+                elif (
+                    isinstance(part, dict)
+                    and part.get("type") == "text"
+                    and isinstance(part.get("text"), str)
+                    and part["text"]
+                ):
+                    visited += 1
+                    new_parts.append({**part, "text": visit(part["text"])})
+                else:
+                    new_parts.append(part)
+            return new_parts
+        return content
+
+    messages = data.get("messages")
+    if isinstance(messages, list):
+        for message in messages:
+            if isinstance(message, dict) and "content" in message:
+                message["content"] = _rewrite_content(message["content"])
+
+    input_value = data.get("input")
+    if isinstance(input_value, str):
+        if input_value:
+            visited += 1
+            data["input"] = visit(input_value)
+        return visited
+    if isinstance(input_value, list):
+        # List of full messages: rewrite each message's content.
+        if input_value and all(
+            isinstance(item, dict) and "role" in item for item in input_value
+        ):
+            for item in input_value:
+                if "content" in item:
+                    item["content"] = _rewrite_content(item["content"])
+            return visited
+        # List of content parts and/or bare strings: rewrite in place.
+        for idx, item in enumerate(input_value):
+            if isinstance(item, str) and item:
+                visited += 1
+                input_value[idx] = visit(item)
+            elif (
+                isinstance(item, dict)
+                and item.get("type") == "text"
+                and isinstance(item.get("text"), str)
+                and item["text"]
+            ):
+                visited += 1
+                input_value[idx] = {**item, "text": visit(item["text"])}
+        return visited
+
+    return visited
+
+
+def apply_redacted_messages_back(
+    data: Dict[str, Any], redacted_messages: List[Dict[str, Any]]
+) -> None:
+    """Write redacted messages back to whichever field(s) the caller used.
+
+    Mask/anonymize paths take a synthesised messages list (from
+    :func:`build_inspection_messages`), get a redacted version back from a
+    third-party guardrail, and need to rewrite the request body. Writing
+    only to ``data["messages"]`` leaves the Responses-API ``data["input"]``
+    field untouched, so the unredacted text still reaches the LLM.
+
+    This helper updates both fields when both are present.
+    """
+    if "messages" in data:
+        data["messages"] = redacted_messages
+    if isinstance(data.get("input"), str):
+        text_parts: List[str] = []
+        for msg in redacted_messages:
+            if not isinstance(msg, dict):
+                continue
+            text_parts.extend(_iter_text_parts_in_content(msg.get("content")))
+        data["input"] = "\n".join(text_parts)
+
+
+def has_non_string_content(data: Dict[str, Any]) -> bool:
+    """Return True if any inspected content is not a plain string.
+
+    Used by hooks whose mask/redact path operates on string offsets and
+    therefore cannot preserve multimodal non-text parts. Such hooks should
+    degrade to block-on-detect when this returns True so image/audio parts
+    are not silently stripped during in-place masking.
+    """
+    messages = data.get("messages")
+    if isinstance(messages, list):
+        for message in messages:
+            if isinstance(message, dict) and not isinstance(
+                message.get("content"), str
+            ):
+                if message.get("content") is not None:
+                    return True
+    input_value = data.get("input")
+    if input_value is not None and not isinstance(input_value, str):
+        return True
+    return False
+
+
+def build_inspection_messages(data: Dict[str, Any]) -> List[Dict[str, str]]:
+    """Synthesize a chat-style messages list for posting to a guardrail API.
+
+    Each returned message has a plain-string ``content`` — multimodal text
+    parts are joined with newlines and Responses-API ``input`` is lifted
+    into synthetic messages. Messages with no inspectable text are dropped.
+
+    Hooks that POST ``{"messages": [...]}`` to an external service should
+    call this instead of ``data.get("messages", [])`` so the Responses API
+    and multimodal content are covered.
+    """
+    flattened: List[Dict[str, str]] = []
+    for message in _iter_inspection_messages(data):
+        if not isinstance(message, dict):
+            continue
+        text = "\n".join(_iter_text_parts_in_content(message.get("content")))
+        if not text:
+            continue
+        role = message.get("role", "user") or "user"
+        flattened.append({"role": role, "content": text})
+    return flattened
diff --git a/litellm/proxy/guardrails/guardrail_hooks/aim/aim.py b/litellm/proxy/guardrails/guardrail_hooks/aim/aim.py
index 1ae87e99c9e..5b5f91195e7 100644
--- a/litellm/proxy/guardrails/guardrail_hooks/aim/aim.py
+++ b/litellm/proxy/guardrails/guardrail_hooks/aim/aim.py
@@ -22,6 +22,11 @@ from litellm.llms.custom_httpx.http_handler import (
     httpxSpecialProvider,
 )
 from litellm.proxy._types import UserAPIKeyAuth
+from litellm.proxy.guardrails._content_utils import (
+    apply_redacted_messages_back,
+    build_inspection_messages,
+    has_non_string_content,
+)
 from litellm.types.utils import (
     CallTypesLiteral,
     Choices,
@@ -101,10 +106,11 @@ class AimGuardrail(CustomGuardrail):
             user_email=user_email,
             litellm_call_id=call_id,
         )
+        # Covers multimodal list content + Responses-API input.
         response = await self.async_handler.post(
             f"{self.api_base}/fw/v1/analyze",
             headers=headers,
-            json={"messages": data.get("messages", [])},
+            json={"messages": build_inspection_messages(data)},
         )
         response.raise_for_status()
         res = response.json()
@@ -137,13 +143,31 @@ class AimGuardrail(CustomGuardrail):
         redacted_chat = res.get("redacted_chat")
         if not redacted_chat:
             return data
-        data["messages"] = [
+        # Aim returns text-only redacted messages. Overwriting
+        # ``data["messages"]`` with that would silently strip image/audio
+        # parts from a multimodal request — degrade to block so the
+        # multimodal payload is never silently rewritten.
+        if has_non_string_content(data):
+            raise HTTPException(
+                status_code=400,
+                detail=(
+                    "Aim: anonymize action requested for multimodal input "
+                    "but mask-in-place would drop non-text parts. Send the "
+                    "request with plain string content to use anonymize, "
+                    "or rely on block-mode policies."
+                ),
+            )
+        redacted_messages = [
             {
                 "role": message["role"],
                 "content": message["content"],
             }
             for message in redacted_chat["all_redacted_messages"]
         ]
+        # Write back to ``messages`` AND ``input``. The Responses-API
+        # backend reads ``input``; writing only to ``messages`` would let
+        # unredacted text reach the LLM for ``/v1/responses`` calls.
+        apply_redacted_messages_back(data, redacted_messages)
         return data
 
     async def call_aim_guardrail_on_output(
@@ -162,7 +186,7 @@ class AimGuardrail(CustomGuardrail):
                 litellm_call_id=call_id,
             ),
             json={
-                "messages": request_data.get("messages", [])
+                "messages": build_inspection_messages(request_data)
                 + [{"role": "assistant", "content": output}]
             },
         )
@@ -233,15 +257,33 @@ class AimGuardrail(CustomGuardrail):
         user_api_key_dict: UserAPIKeyAuth,
         response: Union[Any, ModelResponse, EmbeddingResponse, ImageResponse],
     ) -> Any:
-        if (
-            isinstance(response, ModelResponse)
-            and response.choices
-            and isinstance(response.choices[0], Choices)
-        ):
-            content = response.choices[0].message.content or ""
-            aim_output_guardrail_result = await self.call_aim_guardrail_on_output(
-                data, content, hook="output", key_alias=user_api_key_dict.key_alias
-            )
+        if not (isinstance(response, ModelResponse) and response.choices):
+            return response
+        # Inspect every choice — when ``n>1`` the additional completions
+        # used to bypass Aim entirely because the hook only inspected
+        # ``choices[0]``. Run inspections concurrently so multi-completion
+        # responses don't pay an n× latency penalty.
+        choices_to_inspect = [c for c in response.choices if isinstance(c, Choices)]
+        if not choices_to_inspect:
+            return response
+        # ``return_exceptions=True`` lets every inspection finish even if
+        # one fails — without it, the first exception would propagate and
+        # leave the remaining tasks running in the background.
+        results = await asyncio.gather(
+            *(
+                self.call_aim_guardrail_on_output(
+                    data,
+                    choice.message.content or "",
+                    hook="output",
+                    key_alias=user_api_key_dict.key_alias,
+                )
+                for choice in choices_to_inspect
+            ),
+            return_exceptions=True,
+        )
+        for choice, aim_output_guardrail_result in zip(choices_to_inspect, results):
+            if isinstance(aim_output_guardrail_result, BaseException):
+                raise aim_output_guardrail_result
             if aim_output_guardrail_result and aim_output_guardrail_result.get(
                 "detection_message"
             ):
@@ -252,7 +294,7 @@ class AimGuardrail(CustomGuardrail):
             if aim_output_guardrail_result and aim_output_guardrail_result.get(
                 "redacted_output"
             ):
-                response.choices[0].message.content = aim_output_guardrail_result.get(
+                choice.message.content = aim_output_guardrail_result.get(
                     "redacted_output"
                 )
         return response
diff --git a/litellm/proxy/guardrails/guardrail_hooks/azure/text_moderation.py b/litellm/proxy/guardrails/guardrail_hooks/azure/text_moderation.py
index a465c5428dd..55b446eb529 100644
--- a/litellm/proxy/guardrails/guardrail_hooks/azure/text_moderation.py
+++ b/litellm/proxy/guardrails/guardrail_hooks/azure/text_moderation.py
@@ -254,15 +254,16 @@ class AzureContentSafetyTextModerationGuardrail(AzureGuardrailBase, CustomGuardr
     ) -> Any:
         from litellm.types.utils import Choices, ModelResponse
 
-        if (
-            isinstance(response, ModelResponse)
-            and response.choices
-            and isinstance(response.choices[0], Choices)
-        ):
-            content = response.choices[0].message.content or ""
-            await self.async_make_request(
-                text=content,
-            )
+        if isinstance(response, ModelResponse) and response.choices:
+            for choice in response.choices:
+                if not isinstance(choice, Choices):
+                    continue
+                content = _message_content_to_text(choice.message.content)
+                if not content:
+                    continue
+                await self.async_make_request(
+                    text=content,
+                )
         return response
 
     async def async_post_call_streaming_hook(
@@ -279,3 +280,16 @@ class AzureContentSafetyTextModerationGuardrail(AzureGuardrailBase, CustomGuardr
 
             error_returned = json.dumps({"error": e.detail})
             return f"data: {error_returned}\n\n"
+
+
+def _message_content_to_text(content: Any) -> str:
+    if isinstance(content, str):
+        return content
+    if isinstance(content, list):
+        text_parts = [
+            item.get("text")
+            for item in content
+            if isinstance(item, dict) and isinstance(item.get("text"), str)
+        ]
+        return "\n".join(part for part in text_parts if part)
+    return ""
diff --git a/litellm/proxy/guardrails/guardrail_hooks/ibm_guardrails/ibm_detector.py b/litellm/proxy/guardrails/guardrail_hooks/ibm_guardrails/ibm_detector.py
index 2fc05213640..36d70a37c7c 100644
--- a/litellm/proxy/guardrails/guardrail_hooks/ibm_guardrails/ibm_detector.py
+++ b/litellm/proxy/guardrails/guardrail_hooks/ibm_guardrails/ibm_detector.py
@@ -20,6 +20,7 @@ from litellm.llms.custom_httpx.http_handler import (
     httpxSpecialProvider,
 )
 from litellm.proxy._types import UserAPIKeyAuth
+from litellm.proxy.guardrails._content_utils import iter_message_text
 from litellm.types.guardrails import GuardrailEventHooks
 from litellm.types.proxy.guardrails.guardrail_hooks.ibm import (
     IBMDetectorDetection,
@@ -463,65 +464,53 @@ class IBMGuardrailDetector(CustomGuardrail):
         if self.should_run_guardrail(data=data, event_type=event_type) is not True:
             return data
 
-        _messages = data.get("messages")
-        if _messages:
-            contents_to_check: List[str] = []
-            for message in _messages:
-                _content = message.get("content")
-                if isinstance(_content, str):
-                    contents_to_check.append(_content)
+        # Covers multimodal list content + Responses-API input.
+        contents_to_check: List[str] = list(iter_message_text(data))
+        if contents_to_check:
+            if self.is_detector_server:
+                # Call detector server with all contents at once
+                result = await self._call_detector_server(
+                    contents=contents_to_check,
+                    request_data=data,
+                    event_type=GuardrailEventHooks.pre_call,
+                )
 
-            if contents_to_check:
-                if self.is_detector_server:
-                    # Call detector server with all contents at once
-                    result = await self._call_detector_server(
-                        contents=contents_to_check,
+                verbose_proxy_logger.debug(
+                    "IBM Detector Server async_pre_call_hook result: %s", result
+                )
+
+                # Check if any detections were found
+                has_violations = False
+                for message_detections in result:
+                    filtered = self._filter_detections_by_threshold(message_detections)
+                    if filtered:
+                        has_violations = True
+                        break
+
+                if has_violations and self.block_on_detection:
+                    error_message = self._create_error_message_detector_server(result)
+                    raise ValueError(error_message)
+
+            else:
+                # Call orchestrator for each content separately
+                for content in contents_to_check:
+                    orchestrator_result = await self._call_orchestrator(
+                        content=content,
                         request_data=data,
                         event_type=GuardrailEventHooks.pre_call,
                     )
 
                     verbose_proxy_logger.debug(
-                        "IBM Detector Server async_pre_call_hook result: %s", result
+                        "IBM Orchestrator async_pre_call_hook result: %s",
+                        orchestrator_result,
                     )
 
-                    # Check if any detections were found
-                    has_violations = False
-                    for message_detections in result:
-                        filtered = self._filter_detections_by_threshold(
-                            message_detections
-                        )
-                        if filtered:
-                            has_violations = True
-                            break
-
-                    if has_violations and self.block_on_detection:
-                        error_message = self._create_error_message_detector_server(
-                            result
-                        )
-                        raise ValueError(error_message)
-
-                else:
-                    # Call orchestrator for each content separately
-                    for content in contents_to_check:
-                        orchestrator_result = await self._call_orchestrator(
-                            content=content,
-                            request_data=data,
-                            event_type=GuardrailEventHooks.pre_call,
-                        )
-
-                        verbose_proxy_logger.debug(
-                            "IBM Orchestrator async_pre_call_hook result: %s",
-                            orchestrator_result,
-                        )
-
-                        filtered = self._filter_detections_by_threshold(
+                    filtered = self._filter_detections_by_threshold(orchestrator_result)
+                    if filtered and self.block_on_detection:
+                        error_message = self._create_error_message_orchestrator(
                             orchestrator_result
                         )
-                        if filtered and self.block_on_detection:
-                            error_message = self._create_error_message_orchestrator(
-                                orchestrator_result
-                            )
-                            raise ValueError(error_message)
+                        raise ValueError(error_message)
 
         # Add guardrail to applied guardrails header
         add_guardrail_to_applied_guardrails_header(
@@ -550,65 +539,53 @@ class IBMGuardrailDetector(CustomGuardrail):
         if self.should_run_guardrail(data=data, event_type=event_type) is not True:
             return
 
-        _messages = data.get("messages")
-        if _messages:
-            contents_to_check: List[str] = []
-            for message in _messages:
-                _content = message.get("content")
-                if isinstance(_content, str):
-                    contents_to_check.append(_content)
+        # Covers multimodal list content + Responses-API input.
+        contents_to_check: List[str] = list(iter_message_text(data))
+        if contents_to_check:
+            if self.is_detector_server:
+                # Call detector server with all contents at once
+                result = await self._call_detector_server(
+                    contents=contents_to_check,
+                    request_data=data,
+                    event_type=GuardrailEventHooks.during_call,
+                )
 
-            if contents_to_check:
-                if self.is_detector_server:
-                    # Call detector server with all contents at once
-                    result = await self._call_detector_server(
-                        contents=contents_to_check,
+                verbose_proxy_logger.debug(
+                    "IBM Detector Server async_moderation_hook result: %s", result
+                )
+
+                # Check if any detections were found
+                has_violations = False
+                for message_detections in result:
+                    filtered = self._filter_detections_by_threshold(message_detections)
+                    if filtered:
+                        has_violations = True
+                        break
+
+                if has_violations and self.block_on_detection:
+                    error_message = self._create_error_message_detector_server(result)
+                    raise ValueError(error_message)
+
+            else:
+                # Call orchestrator for each content separately
+                for content in contents_to_check:
+                    orchestrator_result = await self._call_orchestrator(
+                        content=content,
                         request_data=data,
                         event_type=GuardrailEventHooks.during_call,
                     )
 
                     verbose_proxy_logger.debug(
-                        "IBM Detector Server async_moderation_hook result: %s", result
+                        "IBM Orchestrator async_moderation_hook result: %s",
+                        orchestrator_result,
                     )
 
-                    # Check if any detections were found
-                    has_violations = False
-                    for message_detections in result:
-                        filtered = self._filter_detections_by_threshold(
-                            message_detections
-                        )
-                        if filtered:
-                            has_violations = True
-                            break
-
-                    if has_violations and self.block_on_detection:
-                        error_message = self._create_error_message_detector_server(
-                            result
-                        )
-                        raise ValueError(error_message)
-
-                else:
-                    # Call orchestrator for each content separately
-                    for content in contents_to_check:
-                        orchestrator_result = await self._call_orchestrator(
-                            content=content,
-                            request_data=data,
-                            event_type=GuardrailEventHooks.during_call,
-                        )
-
-                        verbose_proxy_logger.debug(
-                            "IBM Orchestrator async_moderation_hook result: %s",
-                            orchestrator_result,
-                        )
-
-                        filtered = self._filter_detections_by_threshold(
+                    filtered = self._filter_detections_by_threshold(orchestrator_result)
+                    if filtered and self.block_on_detection:
+                        error_message = self._create_error_message_orchestrator(
                             orchestrator_result
                         )
-                        if filtered and self.block_on_detection:
-                            error_message = self._create_error_message_orchestrator(
-                                orchestrator_result
-                            )
-                            raise ValueError(error_message)
+                        raise ValueError(error_message)
 
         # Add guardrail to applied guardrails header
         add_guardrail_to_applied_guardrails_header(
diff --git a/litellm/proxy/guardrails/guardrail_hooks/lakera_ai_v2.py b/litellm/proxy/guardrails/guardrail_hooks/lakera_ai_v2.py
index 7aa26435ba6..c6af4d3c428 100644
--- a/litellm/proxy/guardrails/guardrail_hooks/lakera_ai_v2.py
+++ b/litellm/proxy/guardrails/guardrail_hooks/lakera_ai_v2.py
@@ -13,6 +13,11 @@ from litellm.llms.custom_httpx.http_handler import (
     httpxSpecialProvider,
 )
 from litellm.proxy._types import UserAPIKeyAuth
+from litellm.proxy.guardrails._content_utils import (
+    apply_redacted_messages_back,
+    build_inspection_messages,
+    has_non_string_content,
+)
 from litellm.secret_managers.main import get_secret_str
 from litellm.types.guardrails import GuardrailEventHooks
 from litellm.types.llms.openai import AllMessageValues
@@ -214,18 +219,26 @@ class LakeraAIGuardrail(CustomGuardrail):
             )
             return data
 
-        new_messages: Optional[List[AllMessageValues]] = data.get("messages")
-        if new_messages is None:
+        # Covers multimodal list content + Responses-API input.
+        new_messages = build_inspection_messages(data)
+        if not new_messages:
             verbose_proxy_logger.warning(
-                "Lakera AI: not running guardrail. No messages in data"
+                "Lakera AI: not running guardrail. No inspectable text in data"
             )
             return data
 
+        # Mask-in-place uses offsets returned by Lakera and can only
+        # preserve non-text parts (images, audio, …) when the original
+        # content is a plain string. For multimodal/Responses-API input
+        # we degrade to block-on-detect so we never silently strip image
+        # parts while attempting to redact text.
+        is_multimodal_input = has_non_string_content(data)
+
         #########################################################
         ########## 1. Make the Lakera AI v2 guard API request ##########
         #########################################################
         lakera_guardrail_response, masked_entity_count = await self.call_v2_guard(
-            messages=new_messages,
+            messages=new_messages,  # type: ignore[arg-type]
             request_data=data,
             event_type=GuardrailEventHooks.pre_call,
         )
@@ -234,13 +247,20 @@ class LakeraAIGuardrail(CustomGuardrail):
         ########## 2. Handle flagged content ##########
         #########################################################
         if lakera_guardrail_response.get("flagged") is True:
-            # If only PII violations exist, mask the PII
-            if self._is_only_pii_violation(lakera_guardrail_response):
-                data["messages"] = self._mask_pii_in_messages(
-                    messages=new_messages,
+            # If only PII violations exist, mask the PII (string input only).
+            if (
+                self._is_only_pii_violation(lakera_guardrail_response)
+                and not is_multimodal_input
+            ):
+                redacted_messages = self._mask_pii_in_messages(
+                    messages=new_messages,  # type: ignore[arg-type]
                     lakera_response=lakera_guardrail_response,
                     masked_entity_count=masked_entity_count,
                 )
+                # Write back to ``messages`` AND ``input``. The Responses-API
+                # backend reads ``input``; writing only to ``messages``
+                # would let unredacted PII reach the LLM for /v1/responses.
+                apply_redacted_messages_back(data, list(redacted_messages))  # type: ignore[arg-type]
                 verbose_proxy_logger.debug(
                     "Lakera AI: Masked PII in messages instead of blocking request"
                 )
@@ -252,7 +272,9 @@ class LakeraAIGuardrail(CustomGuardrail):
                     )
                     # Log violation but continue
                 elif self.on_flagged == "block":
-                    # If there are other violations or not set to mask PII, raise exception
+                    # Either non-PII violations, or PII on multimodal input
+                    # (which cannot be masked in place without dropping
+                    # image/audio parts) — raise the standard block error.
                     raise self._get_http_exception_for_blocked_guardrail(
                         lakera_guardrail_response
                     )
@@ -280,18 +302,22 @@ class LakeraAIGuardrail(CustomGuardrail):
         if self.should_run_guardrail(data=data, event_type=event_type) is not True:
             return
 
-        new_messages: Optional[List[AllMessageValues]] = data.get("messages")
-        if new_messages is None:
+        new_messages = build_inspection_messages(data)
+        if not new_messages:
             verbose_proxy_logger.warning(
-                "Lakera AI: not running guardrail. No messages in data"
+                "Lakera AI: not running guardrail. No inspectable text in data"
             )
             return
 
+        # See ``async_pre_call_hook`` — multimodal input degrades to
+        # block-on-detect because mask-in-place would drop image parts.
+        is_multimodal_input = has_non_string_content(data)
+
         #########################################################
         ########## 1. Make the Lakera AI v2 guard API request ##########
         #########################################################
         lakera_guardrail_response, masked_entity_count = await self.call_v2_guard(
-            messages=new_messages,
+            messages=new_messages,  # type: ignore[arg-type]
             request_data=data,
             event_type=GuardrailEventHooks.during_call,
         )
@@ -300,25 +326,28 @@ class LakeraAIGuardrail(CustomGuardrail):
         ########## 2. Handle flagged content ##########
         #########################################################
         if lakera_guardrail_response.get("flagged") is True:
-            # If only PII violations exist, mask the PII
-            if self._is_only_pii_violation(lakera_guardrail_response):
-                data["messages"] = self._mask_pii_in_messages(
-                    messages=new_messages,
+            if (
+                self._is_only_pii_violation(lakera_guardrail_response)
+                and not is_multimodal_input
+            ):
+                redacted_messages = self._mask_pii_in_messages(
+                    messages=new_messages,  # type: ignore[arg-type]
                     lakera_response=lakera_guardrail_response,
                     masked_entity_count=masked_entity_count,
                 )
+                # Write back to ``messages`` AND ``input``. The Responses-API
+                # backend reads ``input``; writing only to ``messages``
+                # would let unredacted PII reach the LLM for /v1/responses.
+                apply_redacted_messages_back(data, list(redacted_messages))  # type: ignore[arg-type]
                 verbose_proxy_logger.debug(
                     "Lakera AI: Masked PII in messages instead of blocking request"
                 )
             else:
-                # Check on_flagged setting
                 if self.on_flagged == "monitor":
                     verbose_proxy_logger.warning(
                         "Lakera Guardrail: Monitoring mode - violation detected but allowing request"
                     )
-                    # Log violation but continue
                 elif self.on_flagged == "block":
-                    # If there are other violations or not set to mask PII, raise exception
                     raise self._get_http_exception_for_blocked_guardrail(
                         lakera_guardrail_response
                     )
diff --git a/litellm/proxy/guardrails/guardrail_hooks/lasso/lasso.py b/litellm/proxy/guardrails/guardrail_hooks/lasso/lasso.py
index a72f3e4c3ff..e64b69efcc0 100644
--- a/litellm/proxy/guardrails/guardrail_hooks/lasso/lasso.py
+++ b/litellm/proxy/guardrails/guardrail_hooks/lasso/lasso.py
@@ -50,6 +50,11 @@ from litellm.llms.custom_httpx.http_handler import (
     httpxSpecialProvider,
 )
 from litellm.proxy._types import UserAPIKeyAuth
+from litellm.proxy.guardrails._content_utils import (
+    apply_redacted_messages_back,
+    build_inspection_messages,
+    has_non_string_content,
+)
 from litellm.types.guardrails import GuardrailEventHooks
 import litellm
 
@@ -366,16 +371,19 @@ class LassoGuardrail(CustomGuardrail):
             LassoGuardrailAPIError: If the Lasso API call fails
             HTTPException: If blocking violations are detected
         """
-        messages: List[Dict[str, str]] = data.get("messages", [])
+        # Covers multimodal list content + Responses-API input.
+        messages: List[Dict[str, str]] = build_inspection_messages(data)
         if not messages:
             return data
 
-        if self.mask:
+        # Lasso's classifix endpoint returns masked text that we copy back
+        # into ``data["messages"]``. For multimodal/Responses-API input we
+        # would silently strip image/audio parts, so fall back to the
+        # classify endpoint (which still raises on BLOCK actions) and
+        # leave the original payload intact.
+        if self.mask and not has_non_string_content(data):
             return await self._handle_masking(data, cache, message_type, messages)
-        else:
-            return await self._handle_classification(
-                data, cache, message_type, messages
-            )
+        return await self._handle_classification(data, cache, message_type, messages)
 
     async def _handle_classification(
         self,
@@ -413,8 +421,9 @@ class LassoGuardrail(CustomGuardrail):
             self._process_lasso_response(response)
 
             # Apply masking to messages if violations detected and masked messages are available
-            if response.get("violations_detected") and response.get("messages"):
-                data["messages"] = response["messages"]
+            redacted_messages = response.get("messages")
+            if response.get("violations_detected") and redacted_messages:
+                apply_redacted_messages_back(data, list(redacted_messages))
                 self._log_masking_applied(message_type, dict(response))
 
             return data
diff --git a/litellm/proxy/guardrails/guardrail_hooks/litellm_content_filter/content_filter.py b/litellm/proxy/guardrails/guardrail_hooks/litellm_content_filter/content_filter.py
index 3ef99e4ad60..d6d2e014948 100644
--- a/litellm/proxy/guardrails/guardrail_hooks/litellm_content_filter/content_filter.py
+++ b/litellm/proxy/guardrails/guardrail_hooks/litellm_content_filter/content_filter.py
@@ -1873,8 +1873,9 @@ class ContentFilterGuardrail(CustomGuardrail):
         and the UI Request Lifecycle panel. Mirrors apply_guardrail's finally-block
         contract.
         """
-        accumulated_full_text = ""
-        yielded_masked_text_len = 0
+        accumulated_text_by_choice: Dict[int, str] = {}
+        yielded_masked_text_len_by_choice: Dict[int, int] = {}
+        latest_detections_by_choice: Dict[int, List[ContentFilterDetection]] = {}
         buffer_size = 50  # Increased buffer to catch patterns split across many chunks
 
         start_time = datetime.now()
@@ -1890,79 +1891,90 @@ class ContentFilterGuardrail(CustomGuardrail):
         try:
             async for item in response:
                 if isinstance(item, ModelResponseStream) and item.choices:
-                    delta_content = ""
-                    is_final = False
                     for choice in item.choices:
-                        if hasattr(choice, "delta") and choice.delta:
-                            content = getattr(choice.delta, "content", None)
-                            if content and isinstance(content, str):
-                                delta_content += content
-                        if getattr(choice, "finish_reason", None):
-                            is_final = True
+                        if not (hasattr(choice, "delta") and choice.delta):
+                            continue
 
-                    accumulated_full_text += delta_content
+                        choice_index = getattr(choice, "index", 0)
+                        if not isinstance(choice_index, int):
+                            choice_index = 0
 
-                    # Check for blocking or apply masking
-                    # Add a space at the end if it's the final chunk to trigger word boundaries (\b)
-                    text_to_check = accumulated_full_text
-                    if is_final:
-                        text_to_check += " "
+                        content = getattr(choice.delta, "content", None)
+                        is_final = bool(getattr(choice, "finish_reason", None))
+                        if isinstance(content, str) and content:
+                            accumulated_text_by_choice[choice_index] = (
+                                accumulated_text_by_choice.get(choice_index, "")
+                                + content
+                            )
+                        elif not is_final:
+                            continue
 
-                    try:
-                        # Reset before each scan: _filter_single_text scans the
-                        # whole accumulated buffer every chunk, so previous-chunk
-                        # matches are guaranteed to be re-found. Keeping only the
-                        # latest scan's detections avoids N× duplication in the
-                        # final log row. BLOCK still records correctly because
-                        # handlers append to detections before raising.
-                        detections.clear()
-                        masked_text = self._filter_single_text(
-                            text_to_check, detections=detections
+                        text_to_check = accumulated_text_by_choice.get(choice_index, "")
+                        if not text_to_check:
+                            continue
+
+                        # Add a space at the end if it's the final chunk to trigger word boundaries (\b)
+                        text_to_scan = text_to_check + (" " if is_final else "")
+                        choice_detections: List[ContentFilterDetection] = []
+
+                        try:
+                            # _filter_single_text scans the whole accumulated
+                            # choice buffer every chunk, so previous-chunk
+                            # matches are guaranteed to be re-found. Keeping
+                            # only each choice's latest scan avoids duplicate
+                            # detections in the final log row.
+                            masked_text = self._filter_single_text(
+                                text_to_scan, detections=choice_detections
+                            )
+                            if is_final and masked_text.endswith(" "):
+                                masked_text = masked_text[:-1]
+                            latest_detections_by_choice[choice_index] = (
+                                choice_detections
+                            )
+                        except HTTPException:
+                            latest_detections_by_choice[choice_index] = (
+                                choice_detections
+                            )
+                            raise
+                        except Exception as e:
+                            verbose_proxy_logger.error(
+                                f"ContentFilterGuardrail: Error in masking: {e}"
+                            )
+                            masked_text = text_to_scan  # Fallback to current text
+
+                        # Determine how much can be safely yielded
+                        if is_final:
+                            safe_to_yield_len = len(masked_text)
+                        else:
+                            safe_to_yield_len = max(0, len(masked_text) - buffer_size)
+
+                        yielded_masked_text_len = yielded_masked_text_len_by_choice.get(
+                            choice_index, 0
                         )
-                        if is_final and masked_text.endswith(" "):
-                            masked_text = masked_text[:-1]
-                    except HTTPException:
-                        raise
-                    except Exception as e:
-                        verbose_proxy_logger.error(
-                            f"ContentFilterGuardrail: Error in masking: {e}"
-                        )
-                        masked_text = text_to_check  # Fallback to current text
+                        if safe_to_yield_len > yielded_masked_text_len:
+                            new_masked_content = masked_text[
+                                yielded_masked_text_len:safe_to_yield_len
+                            ]
+                            choice.delta.content = new_masked_content
+                            yielded_masked_text_len_by_choice[choice_index] = (
+                                safe_to_yield_len
+                            )
+                        else:
+                            # Hold content by yielding empty content on this choice
+                            # while preserving chunk metadata and other choices.
+                            choice.delta.content = ""
 
-                    # Determine how much can be safely yielded
-                    if is_final:
-                        safe_to_yield_len = len(masked_text)
-                    else:
-                        safe_to_yield_len = max(0, len(masked_text) - buffer_size)
-
-                    if safe_to_yield_len > yielded_masked_text_len:
-                        new_masked_content = masked_text[
-                            yielded_masked_text_len:safe_to_yield_len
-                        ]
-                        # Modify the chunk to contain only the new masked content
-                        if (
-                            item.choices
-                            and hasattr(item.choices[0], "delta")
-                            and item.choices[0].delta
-                        ):
-                            item.choices[0].delta.content = new_masked_content
-                            yielded_masked_text_len = safe_to_yield_len
-                            yield item
-                    else:
-                        # Hold content by yielding empty content chunk (keeps metadata/structure)
-                        if (
-                            item.choices
-                            and hasattr(item.choices[0], "delta")
-                            and item.choices[0].delta
-                        ):
-                            item.choices[0].delta.content = ""
-                        yield item
+                    yield item
                 else:
                     # Not a ModelResponseStream or no choices - yield as is
                     yield item
 
             # Any remaining content (should have been handled by is_final, but just in case)
-            if yielded_masked_text_len < len(accumulated_full_text):
+            if any(
+                yielded_masked_text_len_by_choice.get(choice_index, 0)
+                < len(accumulated_text)
+                for choice_index, accumulated_text in accumulated_text_by_choice.items()
+            ):
                 # We already reached the end of the generator
                 pass
         except HTTPException:
@@ -1973,6 +1985,11 @@ class ContentFilterGuardrail(CustomGuardrail):
             exception_str = str(e)
             raise e
         finally:
+            detections = [
+                detection
+                for choice_detections in latest_detections_by_choice.values()
+                for detection in choice_detections
+            ]
             self._count_masked_entities(detections, masked_entity_count)
             self._log_guardrail_information(
                 request_data=request_data,
diff --git a/litellm/proxy/guardrails/guardrail_hooks/semantic_guard/semantic_guard.py b/litellm/proxy/guardrails/guardrail_hooks/semantic_guard/semantic_guard.py
index be48991500b..21c01da029b 100644
--- a/litellm/proxy/guardrails/guardrail_hooks/semantic_guard/semantic_guard.py
+++ b/litellm/proxy/guardrails/guardrail_hooks/semantic_guard/semantic_guard.py
@@ -187,11 +187,28 @@ def _extract_user_text(messages: List) -> str:
 
 
 def _extract_response_text(response: Any) -> str:
-    """Extract text from LLM response object."""
+    """Extract text from every LLM response choice."""
     if hasattr(response, "choices") and response.choices:
-        choice = response.choices[0]
-        if hasattr(choice, "message") and choice.message:
-            return choice.message.content or ""
+        text_parts: List[str] = []
+        for choice in response.choices:
+            if hasattr(choice, "message") and choice.message:
+                text = _content_to_text(choice.message.content)
+                if text:
+                    text_parts.append(text)
+        return "\n".join(text_parts)
+    return ""
+
+
+def _content_to_text(content: Any) -> str:
+    if isinstance(content, str):
+        return content
+    if isinstance(content, list):
+        text_parts = [
+            block.get("text")
+            for block in content
+            if isinstance(block, dict) and isinstance(block.get("text"), str)
+        ]
+        return " ".join(part for part in text_parts if part)
     return ""
 
 
diff --git a/litellm/proxy/guardrails/guardrail_hooks/xecguard/xecguard.py b/litellm/proxy/guardrails/guardrail_hooks/xecguard/xecguard.py
index 5c374540e28..5acfc5403ce 100644
--- a/litellm/proxy/guardrails/guardrail_hooks/xecguard/xecguard.py
+++ b/litellm/proxy/guardrails/guardrail_hooks/xecguard/xecguard.py
@@ -480,21 +480,32 @@ class XecGuardGuardrail(CustomGuardrail):
             choices = response.get("choices")
         if not choices:
             return None
-        first = choices[0]
-        if hasattr(first, "message"):
-            message = first.message
-        elif isinstance(first, dict):
-            message = first.get("message")
+        text_parts: List[str] = []
+        for choice in choices:
+            content = XecGuardGuardrail._extract_choice_content(choice)
+            text = XecGuardGuardrail._content_to_text(content)
+            if text:
+                text_parts.append(text)
+        return "\n".join(text_parts) or None
+
+    @staticmethod
+    def _extract_choice_content(choice: Any) -> Any:
+        if hasattr(choice, "message"):
+            message = choice.message
+        elif isinstance(choice, dict):
+            message = choice.get("message")
         else:
             return None
         if message is None:
             return None
         if hasattr(message, "content"):
-            content = message.content
-        elif isinstance(message, dict):
-            content = message.get("content")
-        else:
-            return None
+            return message.content
+        if isinstance(message, dict):
+            return message.get("content")
+        return None
+
+    @staticmethod
+    def _content_to_text(content: Any) -> Optional[str]:
         if isinstance(content, str) and content:
             return content
         if isinstance(content, list):
diff --git a/litellm/proxy/health_check.py b/litellm/proxy/health_check.py
index 7c340ff5df6..400da9da0d5 100644
--- a/litellm/proxy/health_check.py
+++ b/litellm/proxy/health_check.py
@@ -36,6 +36,11 @@ ADMIN_ONLY_HEALTH_DISPLAY_PARAMS = ("api_base", "api_version")
 
 MINIMAL_DISPLAY_PARAMS = ["model", "mode_error"]
 
+# Health-check modes that forward `reasoning_effort` to the provider (chat-style calls).
+_HEALTH_CHECK_MODES_SUPPORTING_REASONING_EFFORT = frozenset(
+    (None, "chat", "completion")
+)
+
 
 def _get_process_rss_mb() -> Optional[float]:
     """
@@ -375,6 +380,12 @@ def _update_litellm_params_for_health_check(
     if _resolved_max_tokens is not None:
         litellm_params["max_tokens"] = _resolved_max_tokens
 
+    # Per-model reasoning effort for health checks only (e.g. reasoning_effort=none).
+    if model_info.get("mode", None) in _HEALTH_CHECK_MODES_SUPPORTING_REASONING_EFFORT:
+        _hc_reasoning_effort = model_info.get("health_check_reasoning_effort", None)
+        if _hc_reasoning_effort is not None:
+            litellm_params["reasoning_effort"] = _hc_reasoning_effort
+
     _health_check_model = model_info.get("health_check_model", None)
     if _health_check_model is not None:
         litellm_params["model"] = _health_check_model
diff --git a/litellm/proxy/health_endpoints/_health_endpoints.py b/litellm/proxy/health_endpoints/_health_endpoints.py
index 35c9edb937d..096e23e673d 100644
--- a/litellm/proxy/health_endpoints/_health_endpoints.py
+++ b/litellm/proxy/health_endpoints/_health_endpoints.py
@@ -1447,14 +1447,11 @@ def callback_name(callback):
             return str(callback)
 
 
-@router.get(
-    "/health/readiness",
-    tags=["health"],
-    dependencies=[Depends(user_api_key_auth)],
-)
-async def health_readiness(response: Response):
+async def _get_health_readiness_details(
+    response: Optional[Response] = None,
+) -> Dict[str, Any]:
     """
-    Unprotected endpoint for checking if worker can receive requests
+    Detailed health payload for authenticated diagnostics.
     """
     from litellm.proxy.proxy_server import prisma_client, version
 
@@ -1473,7 +1470,7 @@ async def health_readiness(response: Response):
             success_callback_names = litellm.success_callback
 
         # check Cache
-        cache_type = None
+        cache_type: Any = None
         if litellm.cache is not None:
             from litellm.caching.caching import RedisSemanticCache
 
@@ -1482,6 +1479,7 @@ async def health_readiness(response: Response):
             if isinstance(litellm.cache.cache, RedisSemanticCache):
                 # ping the cache
                 # TODO: @ishaan-jaff - we should probably not ping the cache on every /health/readiness check
+                index_info: Any
                 try:
                     index_info = await litellm.cache.cache._index_info()
                 except Exception as e:
@@ -1499,7 +1497,7 @@ async def health_readiness(response: Response):
             # serve requests that depend on persisted state (keys, budgets,
             # spend logs). Return 503 so orchestrators take this pod out of
             # rotation; "Not connected" (no DB configured at all) stays 200.
-            if db_health_status["status"] != "connected":
+            if response is not None and db_health_status["status"] != "connected":
                 response.status_code = status.HTTP_503_SERVICE_UNAVAILABLE
             return {
                 "status": "healthy",
@@ -1526,6 +1524,52 @@ async def health_readiness(response: Response):
         raise HTTPException(status_code=503, detail=f"Service Unhealthy ({str(e)})")
 
 
+def _allow_public_health_readiness_details() -> bool:
+    from litellm.proxy.proxy_server import general_settings
+
+    return general_settings.get("allow_public_health_readiness_details") is True
+
+
+async def _set_public_readiness_status(response: Response) -> None:
+    from litellm.proxy.proxy_server import prisma_client
+
+    if prisma_client is None:
+        return
+
+    db_health_status = await _db_health_readiness_check()
+    if db_health_status["status"] != "connected":
+        response.status_code = status.HTTP_503_SERVICE_UNAVAILABLE
+
+
+@router.get(
+    "/health/readiness",
+    tags=["health"],
+)
+async def health_readiness(response: Response):
+    """
+    Public readiness probe. Keep this low-detail for unauthenticated load
+    balancers by default. Admins can opt into the legacy detailed public
+    payload with general_settings.allow_public_health_readiness_details.
+    """
+    if _allow_public_health_readiness_details():
+        return await _get_health_readiness_details(response=response)
+
+    await _set_public_readiness_status(response=response)
+    return {"status": "healthy"}
+
+
+@router.get(
+    "/health/readiness/details",
+    tags=["health"],
+    dependencies=[Depends(user_api_key_auth)],
+)
+async def health_readiness_details(response: Response):
+    """
+    Authenticated readiness diagnostics with DB/cache/callback metadata.
+    """
+    return await _get_health_readiness_details(response=response)
+
+
 @router.get(
     "/health/backlog",
     tags=["health"],
@@ -1561,7 +1605,6 @@ async def health_liveliness():
 @router.options(
     "/health/readiness",
     tags=["health"],
-    dependencies=[Depends(user_api_key_auth)],
 )
 async def health_readiness_options():
     """
diff --git a/litellm/proxy/hooks/azure_content_safety.py b/litellm/proxy/hooks/azure_content_safety.py
index b35d671117b..ddcd1540597 100644
--- a/litellm/proxy/hooks/azure_content_safety.py
+++ b/litellm/proxy/hooks/azure_content_safety.py
@@ -8,6 +8,10 @@ from litellm._logging import verbose_proxy_logger
 from litellm.caching.caching import DualCache
 from litellm.integrations.custom_logger import CustomLogger
 from litellm.proxy._types import UserAPIKeyAuth
+from litellm.proxy.guardrails._content_utils import (
+    is_text_content_call_type,
+    iter_message_text,
+)
 
 
 class _PROXY_AzureContentSafety(
@@ -118,10 +122,9 @@ class _PROXY_AzureContentSafety(
     ):
         verbose_proxy_logger.debug("Inside Azure Content-Safety Pre-Call Hook")
         try:
-            if call_type == "completion" and "messages" in data:
-                for m in data["messages"]:
-                    if "content" in m and isinstance(m["content"], str):
-                        await self.test_violation(content=m["content"], source="input")
+            if is_text_content_call_type(call_type):
+                for text in iter_message_text(data):
+                    await self.test_violation(content=text, source="input")
 
         except HTTPException as e:
             raise e
@@ -140,12 +143,16 @@ class _PROXY_AzureContentSafety(
         response,
     ):
         verbose_proxy_logger.debug("Inside Azure Content-Safety Post-Call Hook")
-        if isinstance(response, litellm.ModelResponse) and isinstance(
-            response.choices[0], litellm.utils.Choices
-        ):
-            await self.test_violation(
-                content=response.choices[0].message.content or "", source="output"
-            )
+        if not isinstance(response, litellm.ModelResponse):
+            return
+
+        for choice in response.choices:
+            if not isinstance(choice, litellm.utils.Choices):
+                continue
+            message = getattr(choice, "message", None)
+            content = getattr(message, "content", None)
+            if isinstance(content, str):
+                await self.test_violation(content=content, source="output")
 
     # async def async_post_call_streaming_hook(
     #    self,
diff --git a/litellm/proxy/hooks/litellm_skills/main.py b/litellm/proxy/hooks/litellm_skills/main.py
index 7c6bfbd6b2b..21e8bbbd308 100644
--- a/litellm/proxy/hooks/litellm_skills/main.py
+++ b/litellm/proxy/hooks/litellm_skills/main.py
@@ -110,7 +110,10 @@ class SkillsInjectionHook(CustomLogger):
             skill_id = skill.get("skill_id", "")
             if skill_id.startswith("litellm_"):
                 # Fetch from LiteLLM DB
-                db_skill = await self._fetch_skill_from_db(skill_id)
+                db_skill = await self._fetch_skill_from_db(
+                    skill_id,
+                    user_api_key_dict=user_api_key_dict,
+                )
                 if db_skill:
                     litellm_skills.append(db_skill)
                 else:
@@ -276,7 +279,9 @@ class SkillsInjectionHook(CustomLogger):
         return data
 
     async def _fetch_skill_from_db(
-        self, skill_id: str
+        self,
+        skill_id: str,
+        user_api_key_dict: UserAPIKeyAuth,
     ) -> Optional[LiteLLM_SkillsTable]:
         """
         Fetch a skill from the LiteLLM database.
@@ -290,7 +295,10 @@ class SkillsInjectionHook(CustomLogger):
         try:
             from litellm.llms.litellm_proxy.skills.handler import LiteLLMSkillsHandler
 
-            return await LiteLLMSkillsHandler.fetch_skill_from_db(skill_id)
+            return await LiteLLMSkillsHandler.fetch_skill_from_db(
+                skill_id,
+                user_api_key_dict=user_api_key_dict,
+            )
         except Exception as e:
             verbose_proxy_logger.warning(
                 f"SkillsInjectionHook: Error fetching skill {skill_id}: {e}"
diff --git a/litellm/proxy/hooks/proxy_track_cost_callback.py b/litellm/proxy/hooks/proxy_track_cost_callback.py
index bd1b8ea79c5..67f702e31a2 100644
--- a/litellm/proxy/hooks/proxy_track_cost_callback.py
+++ b/litellm/proxy/hooks/proxy_track_cost_callback.py
@@ -19,6 +19,10 @@ from litellm.proxy.auth.auth_checks import (
 )
 from litellm.proxy.auth.route_checks import RouteChecks
 from litellm.proxy.litellm_pre_call_utils import LiteLLMProxyRequestSetup
+from litellm.proxy.spend_tracking.spend_log_error_logger import (
+    should_suppress_spend_log_tracebacks,
+    spend_log_error,
+)
 from litellm.proxy.utils import ProxyUpdateSpend
 from litellm.types.utils import StandardLoggingPayload
 from litellm.utils import get_end_user_id_for_cost_tracking
@@ -74,12 +78,18 @@ class _ProxyDBLogger(CustomLogger):
         )
         _metadata["user_api_key"] = user_api_key_dict.api_key
         _metadata["status"] = "failure"
-        _metadata["error_information"] = (
-            StandardLoggingPayloadSetup.get_error_information(
-                original_exception=original_exception,
-                traceback_str=traceback_str,
-            )
+        _error_information = StandardLoggingPayloadSetup.get_error_information(
+            original_exception=original_exception,
+            traceback_str=traceback_str,
         )
+        if should_suppress_spend_log_tracebacks():
+            # Drop the traceback key entirely so the per-row Metadata pane in
+            # the UI (which renders the JSON blob verbatim) doesn't show a
+            # noisy ``"traceback": ""`` line. Downstream consumers all use
+            # ``.get("traceback")`` / truthy checks, and the TypedDict marks
+            # the field as optional, so omitting is type-safe.
+            _error_information.pop("traceback", None)
+        _metadata["error_information"] = _error_information
 
         _metadata = await _ProxyDBLogger._enrich_failure_metadata_with_key_info(
             metadata=_metadata,
@@ -302,9 +312,7 @@ class _ProxyDBLogger(CustomLogger):
                 )
             )
 
-            verbose_proxy_logger.exception(
-                "Error in tracking cost callback - %s", str(e)
-            )
+            spend_log_error("Error in tracking cost callback - %s", str(e), exc=e)
 
     @staticmethod
     async def _enrich_failure_metadata_with_key_info(metadata: dict) -> dict:
diff --git a/litellm/proxy/litellm_pre_call_utils.py b/litellm/proxy/litellm_pre_call_utils.py
index 853c56856fc..49230c65ec2 100644
--- a/litellm/proxy/litellm_pre_call_utils.py
+++ b/litellm/proxy/litellm_pre_call_utils.py
@@ -5,7 +5,7 @@ import time
 from collections import OrderedDict
 from typing import TYPE_CHECKING, Any, Dict, List, Optional, Union
 
-from fastapi import Request
+from fastapi import HTTPException, Request
 from pydantic import ValidationError as PydanticValidationError
 from starlette.datastructures import Headers
 
@@ -14,6 +14,7 @@ from litellm._logging import verbose_logger, verbose_proxy_logger
 from litellm._service_logger import ServiceLogging
 from litellm.litellm_core_utils.credential_accessor import CredentialAccessor
 from litellm.litellm_core_utils.safe_json_loads import safe_json_loads
+from litellm.litellm_core_utils.url_utils import is_url_destination_allowed_by_host
 from litellm.proxy._types import (
     AddTeamCallback,
     CommonProxyErrors,
@@ -60,6 +61,7 @@ from litellm.secret_managers.main import get_secret_bool
 from litellm.types.llms.anthropic import ANTHROPIC_API_HEADERS
 from litellm.types.services import ServiceTypes
 from litellm.types.utils import (
+    CustomPricingLiteLLMParams,
     LlmProviders,
     ProviderSpecificHeader,
     StandardLoggingUserAPIKeyMetadata,
@@ -120,6 +122,19 @@ _UNTRUSTED_ROOT_CONTROL_FIELDS = (
     "pillar_response_headers",
     "_guardrail_pipelines",
     "_pipeline_managed_guardrails",
+    # Callback-registration fields. ``callbacks``, ``service_callback``,
+    # and ``logger_fn`` are read by ``litellm.utils.function_setup`` and
+    # appended to process-wide ``litellm.{input,success,failure,_async_*,
+    # service}_callback`` lists / ``litellm.user_logger_fn`` — one request
+    # poisons the worker for every subsequent caller.
+    # ``litellm_disabled_callbacks`` is the inverse primitive: the
+    # legitimate path reads it from key/team metadata, the request-body
+    # version silently turns off admin-configured audit/observability
+    # for the caller's request.
+    "callbacks",
+    "service_callback",
+    "logger_fn",
+    "litellm_disabled_callbacks",
 )
 
 _UNTRUSTED_METADATA_CONTROL_FIELDS = (
@@ -154,6 +169,59 @@ _ALLOW_CLIENT_MESSAGE_REDACTION_OPT_OUT_METADATA_KEY = (
     "allow_client_message_redaction_opt_out"
 )
 
+# Per-request pricing parameters mutate cost-tracking output and (via
+# ``litellm.completion`` → ``register_model``) the process-wide
+# ``litellm.model_cost`` map. Both effects belong to deployment configuration,
+# not to user-supplied request bodies, so the proxy strips them before they
+# reach the call path. Built from the Pydantic model so newly-added pricing
+# fields are covered automatically.
+_CLIENT_PRICING_CONTROL_FIELDS = frozenset(
+    CustomPricingLiteLLMParams.model_fields.keys()
+)
+# ``model_info`` carries the same pricing fields when read by
+# ``use_custom_pricing_for_model``; strip from metadata for the same reason.
+_CLIENT_PRICING_METADATA_FIELDS = frozenset({"model_info"})
+_ALLOW_CLIENT_PRICING_OVERRIDE_METADATA_KEY = "allow_client_pricing_override"
+
+# Request fields whose value, when URL-valued, becomes the outbound destination
+# for a provider call. Letting a proxy caller pin the destination is an SSRF
+# primitive (HuggingFace/Oobabooga `model`, Gemini files `file_id`); guard
+# them centrally so SDK users keep working but proxy users default-deny.
+_URL_DESTINATION_REQUEST_FIELDS = ("model", "file_id")
+
+
+def _reject_url_valued_destinations(data: Dict[str, Any]) -> None:
+    """Reject URL-valued ``model``/``file_id`` unless admin-allowlisted.
+
+    Some providers (HuggingFace, Oobabooga, Gemini files) accept a URL in the
+    identifier field and use it as the outbound destination. On the proxy that
+    is an SSRF primitive — a low-privilege caller can point traffic at any
+    host the proxy can reach, including internal services. Reject here at the
+    proxy boundary so SDK users (who legitimately pass URL-valued identifiers)
+    are unaffected, while admins can opt specific hosts back in via
+    ``litellm.provider_url_destination_allowed_hosts``.
+    """
+    allowed_hosts = getattr(litellm, "provider_url_destination_allowed_hosts", []) or []
+    for field in _URL_DESTINATION_REQUEST_FIELDS:
+        value = data.get(field)
+        if not isinstance(value, str) or not value.startswith(("http://", "https://")):
+            continue
+        if is_url_destination_allowed_by_host(value, allowed_hosts):
+            continue
+        raise HTTPException(
+            status_code=400,
+            detail={
+                "error": "invalid_request",
+                "param": field,
+                "message": (
+                    f"URL-valued '{field}' is not allowed. Configure custom "
+                    "endpoints with api_base instead, or add the destination "
+                    "host to `provider_url_destination_allowed_hosts` in "
+                    "litellm_settings."
+                ),
+            },
+        )
+
 
 def _strip_untrusted_request_header_controls(
     headers: Any,
@@ -212,6 +280,46 @@ def _key_or_team_allows_client_message_redaction_opt_out(
     )
 
 
+def _key_or_team_allows_client_pricing_override(
+    user_api_key_dict: UserAPIKeyAuth,
+) -> bool:
+    return _key_or_team_metadata_flag_is_true(
+        user_api_key_dict=user_api_key_dict,
+        metadata_key=_ALLOW_CLIENT_PRICING_OVERRIDE_METADATA_KEY,
+    )
+
+
+def _strip_client_pricing_overrides(data: Dict[str, Any]) -> None:
+    """Drop pricing overrides from the request body and any metadata variant.
+
+    Skipped only when the calling key/team carries
+    ``allow_client_pricing_override: True`` in its metadata. Emits a
+    ``debug``-level log line naming the dropped fields so operators can
+    trace why a client-supplied pricing override stopped being applied
+    (otherwise the strip is invisible from the caller's perspective).
+    """
+    stripped: List[str] = []
+    for field in _CLIENT_PRICING_CONTROL_FIELDS:
+        if field in data:
+            stripped.append(field)
+            data.pop(field, None)
+    for metadata_key in ("metadata", "litellm_metadata"):
+        metadata = data.get(metadata_key)
+        if not isinstance(metadata, dict):
+            continue
+        for field in _CLIENT_PRICING_METADATA_FIELDS:
+            if field in metadata:
+                stripped.append(f"{metadata_key}.{field}")
+                metadata.pop(field, None)
+    if stripped:
+        verbose_proxy_logger.debug(
+            "Stripped client-supplied pricing fields from request body: %s. "
+            "Set `allow_client_pricing_override: true` on the key or team "
+            "metadata to keep these values.",
+            ", ".join(stripped),
+        )
+
+
 def _get_metadata_variable_name(request: Request) -> str:
     """
     Helper to return what the "metadata" field should be called in the request data
@@ -1109,6 +1217,7 @@ async def add_litellm_data_to_request(  # noqa: PLR0915
         if _allow_client_mock_response and _internal_key in _CLIENT_MOCK_CONTROL_FIELDS:
             continue
         data.pop(_internal_key, None)
+    _reject_url_valued_destinations(data)
     # Strip spoofable auth metadata from user-supplied metadata dict
     _user_metadata = data.get("metadata")
     if isinstance(_user_metadata, dict):
@@ -1310,6 +1419,14 @@ async def add_litellm_data_to_request(  # noqa: PLR0915
             ]:
                 _user_meta.pop(_k, None)
 
+    # Strip pricing overrides AFTER the litellm_metadata string-to-dict parse
+    # above, for the same reason as the user_api_key_* strip — JSON-string
+    # metadata (sent via multipart/form-data or extra_body) wouldn't be a
+    # dict yet at the earlier strip point and the isinstance(dict) guard
+    # would silently skip the field.
+    if not _key_or_team_allows_client_pricing_override(user_api_key_dict):
+        _strip_client_pricing_overrides(data)
+
     # Strip caller-supplied routing/budget tags unless the admin has opted
     # this key or team in via metadata.allow_client_tags=True. Tags drive
     # tag-based routing and tag budget attribution — accepting them from
@@ -1352,7 +1469,12 @@ async def add_litellm_data_to_request(  # noqa: PLR0915
     # been parsed and stripped. Consumers (standard_logging_payload, lago,
     # spend_tracking_utils, streaming_iterator) read `body` to audit the
     # request; taking the snapshot here ensures they see cleaned metadata.
-    data["proxy_server_request"]["body"] = copy.copy(data)
+    #
+    # Exclude secret_fields (which contains raw_headers with Authorization
+    # tokens) from the snapshot — they must never be persisted in spend logs
+    # or any other audit trail.
+    _body_snapshot = {k: v for k, v in data.items() if k != "secret_fields"}
+    data["proxy_server_request"]["body"] = _body_snapshot
 
     # Snapshot the (now-cleaned) requester-supplied metadata for downstream
     # consumers. Taking the deepcopy AFTER the strip prevents attacker-
diff --git a/litellm/proxy/management_endpoints/cache_settings_endpoints.py b/litellm/proxy/management_endpoints/cache_settings_endpoints.py
index 8d6ec2cec1b..55eb321185c 100644
--- a/litellm/proxy/management_endpoints/cache_settings_endpoints.py
+++ b/litellm/proxy/management_endpoints/cache_settings_endpoints.py
@@ -8,14 +8,23 @@ POST /cache/settings/test - Test cache connection with provided credentials
 POST /cache/settings - Save cache settings to database
 """
 
+import asyncio
 import json
-from typing import Any, Dict, List, Optional
+from datetime import datetime, timezone
+from typing import Any, Dict, List, Mapping, Optional
 
-from fastapi import APIRouter, Depends, HTTPException
+from fastapi import APIRouter, Depends, Header, HTTPException
 from pydantic import BaseModel, Field
 
+import litellm
 from litellm._logging import verbose_proxy_logger
-from litellm.proxy._types import UserAPIKeyAuth
+from litellm._uuid import uuid
+from litellm.proxy._types import (
+    AUDIT_ACTIONS,
+    LiteLLM_AuditLogs,
+    LitellmTableNames,
+    UserAPIKeyAuth,
+)
 from litellm.proxy.auth.user_api_key_auth import user_api_key_auth
 from litellm.types.management_endpoints import (
     CACHE_SETTINGS_FIELDS,
@@ -26,6 +35,85 @@ from litellm.types.management_endpoints import (
 router = APIRouter()
 
 
+_REDACTED_VALUE = "***REDACTED***"
+
+
+def _redact_settings(settings: Optional[Mapping[str, Any]]) -> Dict[str, Any]:
+    """Replace every value in a settings map with a fixed marker.
+
+    Cache config carries Redis credentials (passwords, connection strings).
+    The audit-log row preserves the field names so a reader can see *which*
+    fields changed, but values are stripped so the audit table can't itself
+    become a credential-harvest sink.
+    """
+    if not settings:
+        return {}
+    return {k: _REDACTED_VALUE for k in settings.keys()}
+
+
+def _log_audit_task_exception(task: "asyncio.Task[None]") -> None:
+    """Surface a fire-and-forget audit-log task failure as a warning.
+
+    ``asyncio.create_task`` swallows exceptions silently — if the audit
+    write fails we'd otherwise lose the row without any signal.
+    """
+    if task.cancelled():
+        return
+    exc = task.exception()
+    if exc is not None:
+        verbose_proxy_logger.warning(
+            "Failed to write cache-settings audit log: %s", exc
+        )
+
+
+async def _emit_cache_settings_audit_log(
+    *,
+    action: AUDIT_ACTIONS,
+    before_settings: Optional[Mapping[str, Any]],
+    after_settings: Optional[Mapping[str, Any]],
+    user_api_key_dict: UserAPIKeyAuth,
+    litellm_changed_by: Optional[str],
+) -> None:
+    """Emit an audit-log row for a /cache/settings mutation.
+
+    Mirrors the ``store_audit_logs``-gated pattern used in
+    ``team_callback_endpoints.py``: fire-and-forget, no-op when audit
+    logging is disabled, with a done-callback that surfaces any task
+    exception.  Captured under ``LiteLLM_CacheConfig`` so the row
+    co-locates with the table it mutates.
+    """
+    if litellm.store_audit_logs is not True:
+        return
+
+    from litellm.proxy.management_helpers.audit_logs import (
+        create_audit_log_for_update,
+    )
+    from litellm.proxy.proxy_server import litellm_proxy_admin_name
+
+    task = asyncio.create_task(
+        create_audit_log_for_update(
+            request_data=LiteLLM_AuditLogs(
+                id=str(uuid.uuid4()),
+                updated_at=datetime.now(timezone.utc),
+                changed_by=litellm_changed_by
+                or user_api_key_dict.user_id
+                or litellm_proxy_admin_name,
+                changed_by_api_key=user_api_key_dict.api_key,
+                table_name=LitellmTableNames.CACHE_CONFIG_TABLE_NAME,
+                object_id="cache_config",
+                action=action,
+                updated_values=json.dumps(
+                    {"settings": _redact_settings(after_settings)}, default=str
+                ),
+                before_value=json.dumps(
+                    {"settings": _redact_settings(before_settings)}, default=str
+                ),
+            )
+        )
+    )
+    task.add_done_callback(_log_audit_task_exception)
+
+
 class CacheSettingsManager:
     """
     Manages cache settings initialization and updates.
@@ -282,6 +370,10 @@ async def test_cache_connection(
 async def update_cache_settings(
     request: CacheSettingsUpdateRequest,
     user_api_key_dict: UserAPIKeyAuth = Depends(user_api_key_auth),
+    litellm_changed_by: Optional[str] = Header(
+        None,
+        description="The litellm-changed-by header enables tracking of actions performed by authorized users on behalf of other users, providing an audit trail for accountability",
+    ),
 ):
     """
     Save cache settings to database and initialize cache.
@@ -314,6 +406,19 @@ async def update_cache_settings(
     try:
         cache_settings = request.cache_settings.copy()
 
+        # Snapshot the prior settings (key set only — values get redacted in
+        # the audit row) so the audit-log entry shows which fields changed.
+        existing_row = await prisma_client.db.litellm_cacheconfig.find_unique(
+            where={"id": "cache_config"}
+        )
+        before_settings: Optional[Dict[str, Any]] = None
+        if existing_row is not None and existing_row.cache_settings:
+            try:
+                before_settings = json.loads(existing_row.cache_settings)
+            except (TypeError, ValueError):
+                before_settings = None
+        action: AUDIT_ACTIONS = "updated" if existing_row is not None else "created"
+
         # Encrypt sensitive fields (keep redis_type for storage)
         encrypted_settings = proxy_config._encrypt_env_variables(
             environment_variables=cache_settings
@@ -353,6 +458,18 @@ async def update_cache_settings(
         # Switch on LLM response caching
         proxy_config.switch_on_llm_response_caching()
 
+        # Cache settings carry Redis credentials and connection strings that
+        # control where LLM responses are cached.  An admin (or compromised
+        # admin) flipping the cache backend silently is a data-routing
+        # pivot; emit an audit-log row so the action is traceable.
+        await _emit_cache_settings_audit_log(
+            action=action,
+            before_settings=before_settings,
+            after_settings=cache_settings,
+            user_api_key_dict=user_api_key_dict,
+            litellm_changed_by=litellm_changed_by,
+        )
+
         return {
             "message": "Cache settings updated successfully",
             "status": "success",
diff --git a/litellm/proxy/management_endpoints/config_override_endpoints.py b/litellm/proxy/management_endpoints/config_override_endpoints.py
index b736ba1081e..7f7aa485fb3 100644
--- a/litellm/proxy/management_endpoints/config_override_endpoints.py
+++ b/litellm/proxy/management_endpoints/config_override_endpoints.py
@@ -1,10 +1,13 @@
 import asyncio
+import json
 import os
-from typing import Any, Dict, Set
+from datetime import datetime, timezone
+from typing import Any, Dict, Mapping, Optional, Set
 
-from fastapi import APIRouter, Depends, HTTPException
+from fastapi import APIRouter, Depends, Header, HTTPException
 from pydantic import TypeAdapter
 
+from litellm._uuid import uuid
 from litellm.litellm_core_utils.safe_json_dumps import safe_dumps
 from litellm.litellm_core_utils.safe_json_loads import safe_json_loads
 
@@ -18,8 +21,11 @@ from litellm._logging import verbose_proxy_logger
 from litellm.litellm_core_utils.sensitive_data_masker import SensitiveDataMasker
 from litellm.llms.custom_httpx.http_handler import get_async_httpx_client
 from litellm.proxy._types import (
+    AUDIT_ACTIONS,
     CommonProxyErrors,
     KeyManagementSystem,
+    LiteLLM_AuditLogs,
+    LitellmTableNames,
     LitellmUserRoles,
     UserAPIKeyAuth,
 )
@@ -32,6 +38,82 @@ from litellm.types.proxy.management_endpoints.config_overrides import (
 
 router = APIRouter()
 
+
+_AUDIT_REDACTED = "***REDACTED***"
+
+
+def _redact_config(config: Optional[Mapping[str, Any]]) -> Dict[str, Any]:
+    """Strip values from a config snapshot before audit-log emission.
+
+    Hashicorp Vault config carries ``vault_token``, ``approle_secret_id``,
+    ``client_key`` etc.  Persisting them verbatim into ``LiteLLM_AuditLogs``
+    would let anyone with read access to the audit table harvest the
+    proxy's KMS credentials.  Keep keys, redact values.
+    """
+    if not config:
+        return {}
+    return {k: _AUDIT_REDACTED for k in config.keys()}
+
+
+def _log_audit_task_exception(task: "asyncio.Task[None]") -> None:
+    if task.cancelled():
+        return
+    exc = task.exception()
+    if exc is not None:
+        verbose_proxy_logger.warning(
+            "Failed to write hashicorp-vault config audit log: %s", exc
+        )
+
+
+async def _emit_hashicorp_vault_audit_log(
+    *,
+    action: AUDIT_ACTIONS,
+    before_config: Optional[Mapping[str, Any]],
+    after_config: Optional[Mapping[str, Any]],
+    user_api_key_dict: UserAPIKeyAuth,
+    litellm_changed_by: Optional[str],
+) -> None:
+    """Emit an audit-log row for a /config_overrides/hashicorp_vault mutation.
+
+    Mirrors the ``store_audit_logs``-gated pattern from
+    ``team_callback_endpoints.py``.  Captured under
+    ``LiteLLM_ConfigOverrides`` so the row co-locates with the table it
+    mutates.
+    """
+    import litellm
+
+    if litellm.store_audit_logs is not True:
+        return
+
+    from litellm.proxy.management_helpers.audit_logs import (
+        create_audit_log_for_update,
+    )
+    from litellm.proxy.proxy_server import litellm_proxy_admin_name
+
+    task = asyncio.create_task(
+        create_audit_log_for_update(
+            request_data=LiteLLM_AuditLogs(
+                id=str(uuid.uuid4()),
+                updated_at=datetime.now(timezone.utc),
+                changed_by=litellm_changed_by
+                or user_api_key_dict.user_id
+                or litellm_proxy_admin_name,
+                changed_by_api_key=user_api_key_dict.api_key,
+                table_name=LitellmTableNames.CONFIG_OVERRIDES_TABLE_NAME,
+                object_id="hashicorp_vault",
+                action=action,
+                updated_values=json.dumps(
+                    {"config": _redact_config(after_config)}, default=str
+                ),
+                before_value=json.dumps(
+                    {"config": _redact_config(before_config)}, default=str
+                ),
+            )
+        )
+    )
+    task.add_done_callback(_log_audit_task_exception)
+
+
 # --- Hashicorp Vault constants ---
 
 HASHICORP_ENV_VAR_MAPPING: Dict[str, str] = {
@@ -144,6 +226,10 @@ def _clear_hashicorp_vault_state(proxy_config: Any) -> None:
 async def update_hashicorp_vault_config(
     config: HashicorpVaultConfig,
     user_api_key_dict: UserAPIKeyAuth = Depends(user_api_key_auth),
+    litellm_changed_by: Optional[str] = Header(
+        None,
+        description="The litellm-changed-by header enables tracking of actions performed by authorized users on behalf of other users, providing an audit trail for accountability",
+    ),
 ):
     """
     Update Hashicorp Vault secret manager configuration.
@@ -171,6 +257,8 @@ async def update_hashicorp_vault_config(
     existing_record = await prisma_client.db.litellm_configoverrides.find_unique(
         where={"config_type": "hashicorp_vault"}
     )
+    existing_decrypted: Optional[Dict[str, Any]] = None
+    env_values: Dict[str, Any] = {}
     if existing_record is not None and existing_record.config_value is not None:
         existing_data = _parse_config_value(existing_record.config_value)
         existing_decrypted = proxy_config._decrypt_db_variables(existing_data)
@@ -178,7 +266,8 @@ async def update_hashicorp_vault_config(
             if field not in config_data and existing_decrypted.get(field):
                 config_data[field] = existing_decrypted[field]
     else:
-        # No DB record yet — merge from current env vars
+        # No DB record (or DB record with null config_value) — merge from
+        # current env vars instead.
         env_values = _get_current_env_values(HASHICORP_ENV_VAR_MAPPING)
         for field in HASHICORP_ENV_VAR_MAPPING:
             if field not in config_data and env_values.get(field):
@@ -248,6 +337,22 @@ async def update_hashicorp_vault_config(
     # Update change-detection cache so the background reload doesn't redundantly re-init
     proxy_config._last_hashicorp_vault_config = safe_json_loads(config_value)
 
+    # Mutating the proxy's KMS config affects every secret retrieval going
+    # forward — emit an audit-log row so the action is traceable even
+    # though the secret_manager_client itself was just swapped under us.
+    # Action keys off row existence (a row with NULL ``config_value`` is
+    # still an update). ``before_config`` falls back to env vars when the
+    # row was absent or its ``config_value`` was NULL.
+    before_config = existing_decrypted if existing_decrypted is not None else env_values
+    action: AUDIT_ACTIONS = "updated" if existing_record is not None else "created"
+    await _emit_hashicorp_vault_audit_log(
+        action=action,
+        before_config=before_config,
+        after_config=config_data,
+        user_api_key_dict=user_api_key_dict,
+        litellm_changed_by=litellm_changed_by,
+    )
+
     return {
         "message": "Hashicorp Vault configuration updated successfully",
         "status": "success",
@@ -321,6 +426,10 @@ async def get_hashicorp_vault_config(
 )
 async def delete_hashicorp_vault_config(
     user_api_key_dict: UserAPIKeyAuth = Depends(user_api_key_auth),
+    litellm_changed_by: Optional[str] = Header(
+        None,
+        description="The litellm-changed-by header enables tracking of actions performed by authorized users on behalf of other users, providing an audit trail for accountability",
+    ),
 ):
     """Delete Hashicorp Vault configuration. Idempotent."""
     from litellm.proxy.proxy_server import prisma_client, proxy_config
@@ -337,11 +446,27 @@ async def delete_hashicorp_vault_config(
             detail=CommonProxyErrors.db_not_connected_error.value,
         )
 
+    # Capture the prior config before delete so the audit-log row can
+    # show *what* was removed (keys only — values get redacted).
+    existing_record = await prisma_client.db.litellm_configoverrides.find_unique(
+        where={"config_type": "hashicorp_vault"}
+    )
+    before_config: Optional[Dict[str, Any]] = None
+    if existing_record is not None and existing_record.config_value is not None:
+        try:
+            before_config = proxy_config._decrypt_db_variables(
+                _parse_config_value(existing_record.config_value)
+            )
+        except Exception:
+            before_config = None
+
     # Delete DB record if it exists — ignore if not found
+    deleted = False
     try:
         await prisma_client.db.litellm_configoverrides.delete(
             where={"config_type": "hashicorp_vault"}
         )
+        deleted = True
     except RecordNotFoundError:
         verbose_proxy_logger.debug(
             "No existing Hashicorp Vault config record to delete"
@@ -349,6 +474,17 @@ async def delete_hashicorp_vault_config(
 
     _clear_hashicorp_vault_state(proxy_config)
 
+    # Only emit audit log if a row was actually removed; an idempotent
+    # delete on a non-existent row produces no security-relevant change.
+    if deleted:
+        await _emit_hashicorp_vault_audit_log(
+            action="deleted",
+            before_config=before_config,
+            after_config=None,
+            user_api_key_dict=user_api_key_dict,
+            litellm_changed_by=litellm_changed_by,
+        )
+
     return {
         "message": "Hashicorp Vault configuration deleted successfully",
         "status": "success",
diff --git a/litellm/proxy/management_endpoints/mcp_management_endpoints.py b/litellm/proxy/management_endpoints/mcp_management_endpoints.py
index 5ba68ac4770..9f174287826 100644
--- a/litellm/proxy/management_endpoints/mcp_management_endpoints.py
+++ b/litellm/proxy/management_endpoints/mcp_management_endpoints.py
@@ -477,6 +477,42 @@ if MCP_AVAILABLE:
         allowed_routes = getattr(user_api_key_dict, "allowed_routes", None)
         return isinstance(allowed_routes, list) and len(allowed_routes) > 0
 
+    def _sanitize_mcp_server_for_non_admin(
+        mcp_server: LiteLLM_MCPServerTable,
+    ) -> LiteLLM_MCPServerTable:
+        """Strip credential-bearing fields for non-admin viewers.
+
+        Non-admin users may legitimately need to discover MCP servers
+        their team has access to (so they can pick one in the UI), but
+        they must never see fields that can carry bearer tokens or
+        upstream API keys. ``_redact_mcp_credentials`` already clears
+        the explicit ``credentials`` field; this layers on top to catch
+        the URL+headers+env vectors that the virtual-key sanitizer also
+        strips. Reset values match each field's declared default on
+        ``LiteLLM_MCPServerTable`` (``None`` for Optional fields,
+        ``[]``/``{}`` for required list/dict fields).
+        """
+        sanitized = _redact_mcp_credentials(mcp_server)
+        # URL is the highest-impact vector: many MCP integrations embed
+        # the upstream API key directly in the path. spec_path can carry
+        # similar tokens in the OpenAPI spec URL.
+        sanitized.url = None
+        sanitized.spec_path = None
+        sanitized.static_headers = None
+        sanitized.extra_headers = []
+        sanitized.env = {}
+        sanitized.command = None
+        sanitized.args = []
+        sanitized.authorization_url = None
+        sanitized.token_url = None
+        sanitized.registration_url = None
+        return sanitized
+
+    def _sanitize_mcp_server_list_for_non_admin(
+        mcp_servers: Iterable[LiteLLM_MCPServerTable],
+    ) -> List[LiteLLM_MCPServerTable]:
+        return [_sanitize_mcp_server_for_non_admin(s) for s in mcp_servers]
+
     def _sanitize_mcp_server_for_virtual_key(
         mcp_server: LiteLLM_MCPServerTable,
     ) -> LiteLLM_MCPServerTable:
@@ -926,6 +962,12 @@ if MCP_AVAILABLE:
         if is_restricted_virtual_key:
             return _sanitize_mcp_server_list_for_virtual_key(redacted_mcp_servers)
 
+        # Non-admin authenticated users may see the server inventory but
+        # not credential-bearing fields like `url` (often contains bearer
+        # tokens) or headers/env (often contain Authorization).
+        if not _user_has_admin_view(user_api_key_dict):
+            return _sanitize_mcp_server_list_for_non_admin(redacted_mcp_servers)
+
         return redacted_mcp_servers
 
     @router.get(
@@ -1293,6 +1335,8 @@ if MCP_AVAILABLE:
         redacted = _redact_mcp_credentials(mcp_server)
         if is_restricted_virtual_key:
             return _sanitize_mcp_server_for_virtual_key(redacted)
+        if not _user_has_admin_view(user_api_key_dict):
+            return _sanitize_mcp_server_for_non_admin(redacted)
         return redacted
 
     @router.post(
diff --git a/litellm/proxy/management_endpoints/organization_endpoints.py b/litellm/proxy/management_endpoints/organization_endpoints.py
index 442fae2a4fa..ee683f322a1 100644
--- a/litellm/proxy/management_endpoints/organization_endpoints.py
+++ b/litellm/proxy/management_endpoints/organization_endpoints.py
@@ -500,6 +500,21 @@ async def update_organization(
     if data.updated_by is None:
         data.updated_by = user_api_key_dict.user_id
 
+    if data.organization_id is None:
+        raise HTTPException(
+            status_code=400,
+            detail={"error": "organization_id is required"},
+        )
+
+    # IDOR guard: only proxy admins / org admins of THIS org may update
+    # it. Without this, any authenticated key holder could rewrite
+    # another organization's metadata, budgets, and object permissions.
+    await _verify_org_access(
+        organization_id=data.organization_id,
+        user_api_key_dict=user_api_key_dict,
+        prisma_client=prisma_client,
+    )
+
     existing_organization_row = (
         await prisma_client.db.litellm_organizationtable.find_unique(
             where={"organization_id": data.organization_id},
@@ -909,6 +924,16 @@ async def organization_member_add(
         if prisma_client is None:
             raise HTTPException(status_code=500, detail={"error": "No db connected"})
 
+        # IDOR guard: docstring says "Only proxy_admin or org_admin of
+        # organization, allowed to access this endpoint" — but the code
+        # never enforced that. Any authenticated key holder could add
+        # members to any org. Now gated explicitly.
+        await _verify_org_access(
+            organization_id=data.organization_id,
+            user_api_key_dict=user_api_key_dict,
+            prisma_client=prisma_client,
+        )
+
         # Check if organization exists
         existing_organization_row = (
             await prisma_client.db.litellm_organizationtable.find_unique(
@@ -1018,6 +1043,16 @@ async def organization_member_update(
                 detail={"error": CommonProxyErrors.db_not_connected_error.value},
             )
 
+        # IDOR guard: only proxy admins / org admins of THIS org may
+        # update member roles. The PROXY_ADMIN-target check below was
+        # the only access control; without this, any authenticated user
+        # could change any non-admin member's role in any org.
+        await _verify_org_access(
+            organization_id=data.organization_id,
+            user_api_key_dict=user_api_key_dict,
+            prisma_client=prisma_client,
+        )
+
         # Check if organization exists
         existing_organization_row = (
             await prisma_client.db.litellm_organizationtable.find_unique(
@@ -1179,6 +1214,15 @@ async def organization_member_delete(
                 detail={"error": CommonProxyErrors.db_not_connected_error.value},
             )
 
+        # IDOR guard: only proxy admins / org admins of THIS org may
+        # delete members. Without this, any authenticated key holder
+        # could remove any user from any org.
+        await _verify_org_access(
+            organization_id=data.organization_id,
+            user_api_key_dict=user_api_key_dict,
+            prisma_client=prisma_client,
+        )
+
         if data.user_email is not None and data.user_id is None:
             existing_user_email_row = await find_member_if_email(
                 data.user_email, prisma_client
diff --git a/litellm/proxy/management_endpoints/router_settings_endpoints.py b/litellm/proxy/management_endpoints/router_settings_endpoints.py
index c98c4620d95..557eb608136 100644
--- a/litellm/proxy/management_endpoints/router_settings_endpoints.py
+++ b/litellm/proxy/management_endpoints/router_settings_endpoints.py
@@ -104,11 +104,16 @@ async def get_router_settings(
         config = await proxy_config.get_config()
         router_settings_from_config = config.get("router_settings", {})
 
-        # Get current values from llm_router if initialized
-        current_values = {}
+        current_values: Dict[str, Any] = {}
         if llm_router is not None:
-            # Check all field names from the fields list
+            # Router exposes routing groups as private `_routing_groups`; the
+            # generic `hasattr` loop below would miss them.
+            current_values["routing_groups"] = [
+                group.model_dump() for group in llm_router._routing_groups.values()
+            ]
             for field in router_fields:
+                if field.field_name == "routing_groups":
+                    continue
                 if hasattr(llm_router, field.field_name):
                     value = getattr(llm_router, field.field_name)
                     current_values[field.field_name] = value
diff --git a/litellm/proxy/management_endpoints/scim/scim_transformations.py b/litellm/proxy/management_endpoints/scim/scim_transformations.py
index a741ddd697a..28fb87d9b3d 100644
--- a/litellm/proxy/management_endpoints/scim/scim_transformations.py
+++ b/litellm/proxy/management_endpoints/scim/scim_transformations.py
@@ -45,6 +45,10 @@ class ScimTransformations:
         if user.user_email and "@" in user.user_email:
             emails.append(SCIMUserEmail(value=user.user_email, primary=True))
 
+        metadata = user.metadata or {}
+        scim_active = metadata.get("scim_active")
+        active = True if scim_active is None else bool(scim_active)
+
         return SCIMUser(
             schemas=["urn:ietf:params:scim:schemas:core:2.0:User"],
             id=user.user_id,
@@ -56,7 +60,7 @@ class ScimTransformations:
             ),
             emails=emails,
             groups=groups,
-            active=True,
+            active=active,
             meta={
                 "resourceType": "User",
                 "created": user_created_at,
diff --git a/litellm/proxy/management_endpoints/scim/scim_v2.py b/litellm/proxy/management_endpoints/scim/scim_v2.py
index 4c472ed7f21..04699f19ffb 100644
--- a/litellm/proxy/management_endpoints/scim/scim_v2.py
+++ b/litellm/proxy/management_endpoints/scim/scim_v2.py
@@ -38,6 +38,7 @@ from litellm.proxy._types import (
     TeamMemberDeleteRequest,
     UserAPIKeyAuth,
 )
+from litellm.proxy.auth.auth_checks import _delete_cache_key_object
 from litellm.proxy.auth.user_api_key_auth import user_api_key_auth
 from litellm.proxy.management_endpoints.internal_user_endpoints import new_user
 from litellm.proxy.management_endpoints.scim.scim_transformations import (
@@ -336,6 +337,118 @@ async def _handle_team_membership_changes(
         )
 
 
+SCIM_BLOCKED_METADATA_KEY = "scim_blocked"
+
+
+def _key_was_scim_blocked(metadata: Any) -> bool:
+    """True if a verification token carries the SCIM-block marker in metadata."""
+    return (
+        isinstance(metadata, dict) and metadata.get(SCIM_BLOCKED_METADATA_KEY) is True
+    )
+
+
+async def _set_user_keys_blocked(user_id: str, blocked: bool) -> int:
+    """
+    Block or unblock virtual keys owned by a user and invalidate them in the
+    in-memory/redis caches so the change takes effect immediately.
+
+    Each key SCIM blocks is tagged with ``metadata.scim_blocked = True``. On
+    reactivation we only unblock keys carrying that marker, so a key an admin
+    blocked manually for unrelated reasons is left alone.
+
+    Returns the number of keys whose state was flipped.
+    """
+    from litellm.proxy.proxy_server import proxy_logging_obj, user_api_key_cache
+
+    prisma_client = await _get_prisma_client_or_raise_exception()
+
+    if blocked:
+        # `blocked` is a nullable column with no default, so existing rows
+        # typically hold NULL; treat NULL as "not blocked" since SQL equality
+        # on NULL would otherwise silently skip them.
+        candidates = await prisma_client.db.litellm_verificationtoken.find_many(
+            where={
+                "user_id": user_id,
+                "OR": [{"blocked": False}, {"blocked": None}],
+            },
+        )
+        affected_keys = candidates
+    else:
+        candidates = await prisma_client.db.litellm_verificationtoken.find_many(
+            where={"user_id": user_id, "blocked": True},
+        )
+        affected_keys = [k for k in candidates if _key_was_scim_blocked(k.metadata)]
+
+    if not affected_keys:
+        return 0
+
+    for key_row in affected_keys:
+        current_metadata: Dict[str, Any] = (
+            dict(key_row.metadata) if isinstance(key_row.metadata, dict) else {}
+        )
+        if blocked:
+            new_metadata = {**current_metadata, SCIM_BLOCKED_METADATA_KEY: True}
+        else:
+            new_metadata = {
+                k: v
+                for k, v in current_metadata.items()
+                if k != SCIM_BLOCKED_METADATA_KEY
+            }
+        await prisma_client.db.litellm_verificationtoken.update(
+            where={"token": key_row.token},
+            data={"blocked": blocked, "metadata": safe_dumps(new_metadata)},
+        )
+
+    for key_row in affected_keys:
+        await _delete_cache_key_object(
+            hashed_token=key_row.token,
+            user_api_key_cache=user_api_key_cache,
+            proxy_logging_obj=proxy_logging_obj,
+        )
+
+    verbose_proxy_logger.info(
+        "SCIM: %s %d virtual key(s) for user_id=%s",
+        "blocked" if blocked else "unblocked",
+        len(affected_keys),
+        user_id,
+    )
+    return len(affected_keys)
+
+
+async def _delete_rows_referencing_user(prisma_client: Any, *, user_id: str) -> None:
+    """Drop rows whose foreign keys reference ``LiteLLM_UserTable.user_id``.
+
+    Required before deleting the user row itself, otherwise Postgres rejects
+    the user delete with an FK constraint violation (e.g.
+    ``LiteLLM_InvitationLink_user_id_fkey``).
+    """
+    await prisma_client.db.litellm_invitationlink.delete_many(
+        where={
+            "OR": [
+                {"user_id": user_id},
+                {"created_by": user_id},
+                {"updated_by": user_id},
+            ]
+        }
+    )
+    await prisma_client.db.litellm_organizationmembership.delete_many(
+        where={"user_id": user_id}
+    )
+    await prisma_client.db.litellm_teammembership.delete_many(
+        where={"user_id": user_id}
+    )
+
+
+def _scim_active_value(metadata: Optional[Dict[str, Any]]) -> Optional[bool]:
+    """Read the SCIM active flag from a user's metadata dict, if present."""
+    if not metadata:
+        return None
+    value = metadata.get("scim_active")
+    if value is None:
+        return None
+    return bool(value)
+
+
 async def _create_user_if_not_exists(
     user_id: str, created_via: str = "scim_group"
 ) -> Optional[NewUserResponse]:
@@ -928,41 +1041,52 @@ async def update_user(
         prisma_client = await _get_prisma_client_or_raise_exception()
         existing_user = await _check_user_exists(user_id)
 
-        # Extract data from SCIM user
+        prev_active = _scim_active_value(existing_user.metadata)
+
         user_data = _extract_scim_user_data(user)
 
-        # Build metadata with SCIM data
-        metadata = _build_scim_metadata(
-            user_data["given_name"], user_data["family_name"], user_data["active"]
+        # SCIM PUT may legally omit `active` (full-replace with the field absent).
+        # Pydantic fills the model default, so distinguish "client sent active"
+        # from "client omitted it" via model_fields_set, and preserve the prior
+        # SCIM active state when omitted — otherwise a vanilla PUT to a
+        # deactivated user would silently re-enable them and unblock their keys.
+        client_set_active = "active" in user.model_fields_set
+        scim_active_for_metadata = (
+            user_data["active"] if client_set_active else prev_active
+        )
+
+        metadata = _build_scim_metadata(
+            user_data["given_name"],
+            user_data["family_name"],
+            scim_active_for_metadata,
         )
 
-        # Handle team membership changes
         await _handle_team_membership_changes(
             user_id=user_id,
             existing_teams=existing_user.teams or [],
             new_teams=user_data["teams"],
         )
 
-        # Update user with all new data (full replacement)
         update_data = {
             "user_email": user_data["user_email"],
             "user_alias": user_data["user_alias"],
             "sso_user_id": user_data["sso_user_id"],
             "teams": user_data["teams"],
-            "metadata": metadata,
+            "metadata": safe_dumps(metadata),
         }
 
-        # Serialize metadata to JSON string for Prisma to avoid GraphQL parsing issues
-        if "metadata" in update_data and isinstance(update_data["metadata"], dict):
-            from litellm.litellm_core_utils.safe_json_dumps import safe_dumps
-
-            update_data["metadata"] = safe_dumps(update_data["metadata"])
-
         updated_user = await prisma_client.db.litellm_usertable.update(
             where={"user_id": user_id},
             data=update_data,
         )
 
+        if client_set_active:
+            new_active = _scim_active_value(metadata)
+            if new_active is not None and new_active != (
+                True if prev_active is None else prev_active
+            ):
+                await _set_user_keys_blocked(user_id=user_id, blocked=not new_active)
+
         # Convert back to SCIM format
         scim_user = await ScimTransformations.transform_litellm_user_to_scim_user(
             updated_user
@@ -1009,6 +1133,10 @@ async def delete_user(
                     where={"team_id": team.team_id}, data={"members": new_members}
                 )
 
+        await _set_user_keys_blocked(user_id=user_id, blocked=True)
+
+        await _delete_rows_referencing_user(prisma_client, user_id=user_id)
+
         # Delete user
         await prisma_client.db.litellm_usertable.delete(where={"user_id": user_id})
 
@@ -1242,11 +1370,15 @@ async def patch_user(
         prisma_client = await _get_prisma_client_or_raise_exception()
         existing_user = await _check_user_exists(user_id)
 
+        prev_active = _scim_active_value(existing_user.metadata)
+
         update_data, final_team_set = _apply_patch_ops(
             existing_user=existing_user,
             patch_ops=patch_ops,
         )
 
+        new_active = _scim_active_value(update_data.get("metadata"))
+
         # Handle team membership changes
         await _handle_team_membership_changes(
             user_id=user_id,
@@ -1267,6 +1399,11 @@ async def patch_user(
             data=update_data,
         )
 
+        if new_active is not None and new_active != (
+            True if prev_active is None else prev_active
+        ):
+            await _set_user_keys_blocked(user_id=user_id, blocked=not new_active)
+
         scim_user = await ScimTransformations.transform_litellm_user_to_scim_user(
             updated_user
         )
diff --git a/litellm/proxy/management_endpoints/team_callback_endpoints.py b/litellm/proxy/management_endpoints/team_callback_endpoints.py
index a6c0c7dcc0e..17d86410a0f 100644
--- a/litellm/proxy/management_endpoints/team_callback_endpoints.py
+++ b/litellm/proxy/management_endpoints/team_callback_endpoints.py
@@ -19,6 +19,7 @@ from litellm._uuid import uuid
 from litellm.proxy._types import (
     AddTeamCallback,
     LiteLLM_AuditLogs,
+    LiteLLM_TeamTable,
     LitellmTableNames,
     ProxyErrorTypes,
     ProxyException,
@@ -26,6 +27,7 @@ from litellm.proxy._types import (
     UserAPIKeyAuth,
 )
 from litellm.proxy.auth.user_api_key_auth import user_api_key_auth
+from litellm.proxy.management_endpoints.team_endpoints import _verify_team_access
 from litellm.proxy.management_helpers.utils import management_endpoint_wrapper
 
 router = APIRouter()
@@ -207,6 +209,15 @@ async def add_team_callbacks(
                 },
             )
 
+        # IDOR guard: only proxy admins / org admins / team admins of THIS
+        # team may write callback credentials. Without this, any
+        # authenticated key holder could overwrite another team's logging
+        # config (and read back the credentials they wrote).
+        await _verify_team_access(
+            team_obj=LiteLLM_TeamTable(**_existing_team.model_dump()),
+            user_api_key_dict=user_api_key_dict,
+        )
+
         # store team callback settings in metadata
         team_metadata = _existing_team.metadata
         team_callback_settings: List[dict] = team_metadata.get(
@@ -316,6 +327,14 @@ async def disable_team_logging(
                 detail={"error": f"Team id = {team_id} does not exist."},
             )
 
+        # IDOR guard: only proxy admins / org admins / team admins of THIS
+        # team may disable its logging — otherwise any authenticated key
+        # holder can silence audit logging for any team.
+        await _verify_team_access(
+            team_obj=LiteLLM_TeamTable(**_existing_team.model_dump()),
+            user_api_key_dict=user_api_key_dict,
+        )
+
         # Update team metadata to disable logging
         team_metadata = _existing_team.metadata
         before_metadata = copy.deepcopy(team_metadata)
@@ -364,20 +383,18 @@ async def disable_team_logging(
             },
         }
 
+    except HTTPException:
+        # Legitimate 4xx (e.g. 403 from the access guard, 404 for an
+        # unknown team). Re-raise without the error-level log noise that
+        # the catch-all branch below would produce.
+        raise
+    except ProxyException:
+        raise
     except Exception as e:
         verbose_proxy_logger.error(
             f"litellm.proxy.proxy_server.disable_team_logging(): Exception occurred - {str(e)}"
         )
         verbose_proxy_logger.debug(traceback.format_exc())
-        if isinstance(e, HTTPException):
-            raise ProxyException(
-                message=getattr(e, "detail", f"Internal Server Error({str(e)})"),
-                type=ProxyErrorTypes.internal_server_error.value,
-                param=getattr(e, "param", "None"),
-                code=getattr(e, "status_code", status.HTTP_500_INTERNAL_SERVER_ERROR),
-            )
-        elif isinstance(e, ProxyException):
-            raise e
         raise ProxyException(
             message="Internal Server Error, " + str(e),
             type=ProxyErrorTypes.internal_server_error.value,
@@ -437,6 +454,14 @@ async def get_team_callbacks(
                 detail={"error": f"Team id = {team_id} does not exist."},
             )
 
+        # IDOR guard: callback metadata holds third-party API credentials
+        # (Langfuse / Langsmith / GCS). Only proxy admins / org admins /
+        # team admins of THIS team may read them.
+        await _verify_team_access(
+            team_obj=LiteLLM_TeamTable(**_existing_team.model_dump()),
+            user_api_key_dict=user_api_key_dict,
+        )
+
         # Retrieve team callback settings from metadata
         team_metadata = _existing_team.metadata
         team_callback_settings = team_metadata.get("callback_settings", {})
@@ -454,6 +479,13 @@ async def get_team_callbacks(
             },
         }
 
+    except HTTPException:
+        # Legitimate 4xx (e.g. 403 from the access guard) — re-raise
+        # without the error-level log noise that the catch-all below
+        # would produce.
+        raise
+    except ProxyException:
+        raise
     except Exception as e:
         verbose_proxy_logger.error(
             "litellm.proxy.proxy_server.get_team_callbacks(): Exception occurred - {}".format(
diff --git a/litellm/proxy/management_endpoints/team_endpoints.py b/litellm/proxy/management_endpoints/team_endpoints.py
index 466ce47a6fd..259624f1e18 100644
--- a/litellm/proxy/management_endpoints/team_endpoints.py
+++ b/litellm/proxy/management_endpoints/team_endpoints.py
@@ -5028,24 +5028,30 @@ async def get_team_daily_activity(
     }
 
     # Check if user is team admin or has /team/daily/activity permission
-    # If not, filter by user's API keys
+    # If not, filter by user's API keys.
+    #
+    # Earlier this loop used `any-team admin -> set has_full_team_view=True
+    # for the entire request`, so an admin of one team that requested
+    # data for several teams would see API-key-level breakdowns for all
+    # of them. Require full view on EVERY requested team — if the caller
+    # only has admin/permission for a strict subset, fall back to
+    # filtering the entire response by their own API keys (they can re-
+    # request the admin-only teams separately to get the wider view).
     user_api_keys: Optional[List[str]] = None
     if not _user_has_admin_view(user_api_key_dict) and team_ids_list and team_aliases:
-        # Check if user is team admin or has usage view permission for any team
-        has_full_team_view = False
+        has_full_team_view = True
         for team_alias in team_aliases:
             team_obj = LiteLLM_TeamTable(**team_alias.model_dump())
-            if _is_user_team_admin(
+            is_admin = _is_user_team_admin(
                 user_api_key_dict=user_api_key_dict, team_obj=team_obj
-            ):
-                has_full_team_view = True
-                break
-            if _team_member_has_permission(
+            )
+            has_perm = _team_member_has_permission(
                 user_api_key_dict=user_api_key_dict,
                 team_obj=team_obj,
                 permission="/team/daily/activity",
-            ):
-                has_full_team_view = True
+            )
+            if not (is_admin or has_perm):
+                has_full_team_view = False
                 break
 
         # If user does not have full team view, filter by their API keys
diff --git a/litellm/proxy/middleware/prometheus_auth_middleware.py b/litellm/proxy/middleware/prometheus_auth_middleware.py
index 3b30fd3d63c..cfc4cbd64b2 100644
--- a/litellm/proxy/middleware/prometheus_auth_middleware.py
+++ b/litellm/proxy/middleware/prometheus_auth_middleware.py
@@ -20,13 +20,13 @@ class PrometheusAuthMiddleware:
     """
     Middleware to authenticate requests to the metrics endpoint.
 
-    By default, auth is not run on the metrics endpoint.
+    By default, auth is run on the metrics endpoint.
 
-    Enabled by setting the following in proxy_config.yaml:
+    To allow unauthenticated metrics in proxy_config.yaml:
 
     ```yaml
     litellm_settings:
-        require_auth_for_metrics_endpoint: true
+        require_auth_for_metrics_endpoint: false
     ```
     """
 
@@ -39,8 +39,8 @@ class PrometheusAuthMiddleware:
             await self.app(scope, receive, send)
             return
 
-        # Only run auth if configured to do so
-        if litellm.require_auth_for_metrics_endpoint is True:
+        # Run auth by default; allow legacy public metrics only when explicitly disabled.
+        if litellm.require_auth_for_metrics_endpoint is not False:
             # user_api_key_auth reads the request body, which consumes ASGI `receive`.
             # Buffer those messages and replay them for the inner app; otherwise a
             # successful auth would forward an exhausted receive and /metrics hangs.
@@ -52,10 +52,29 @@ class PrometheusAuthMiddleware:
                 return message
 
             request = Request(scope, receive_for_auth)
-            api_key = request.headers.get(_AUTHORIZATION_HEADER) or ""
 
             try:
-                await user_api_key_auth(request=request, api_key=api_key)
+                await user_api_key_auth(
+                    request=request,
+                    api_key=request.headers.get(_AUTHORIZATION_HEADER) or "",
+                    azure_api_key_header=request.headers.get(
+                        SpecialHeaders.azure_authorization.value
+                    )
+                    or "",
+                    anthropic_api_key_header=request.headers.get(
+                        SpecialHeaders.anthropic_authorization.value
+                    ),
+                    google_ai_studio_api_key_header=request.headers.get(
+                        SpecialHeaders.google_ai_studio_authorization.value
+                    ),
+                    azure_apim_header=request.headers.get(
+                        SpecialHeaders.azure_apim_authorization.value
+                    )
+                    or "",
+                    custom_litellm_key_header=request.headers.get(
+                        SpecialHeaders.custom_litellm_api_key.value
+                    ),
+                )
             except Exception as e:
                 # Send 401 response directly via ASGI protocol
                 error_message = getattr(e, "message", str(e))
diff --git a/litellm/proxy/openai_files_endpoints/common_utils.py b/litellm/proxy/openai_files_endpoints/common_utils.py
index 25ad1b25aad..30c78ed5ba7 100644
--- a/litellm/proxy/openai_files_endpoints/common_utils.py
+++ b/litellm/proxy/openai_files_endpoints/common_utils.py
@@ -2,6 +2,7 @@ import base64
 import mimetypes
 import re
 from dataclasses import dataclass, field
+from types import MappingProxyType
 from typing import TYPE_CHECKING, List, Literal, Optional, Union
 
 from litellm.types.utils import SpecialEnums
@@ -298,6 +299,7 @@ def prepare_data_with_credentials(
     data: dict,
     credentials: dict,
     file_id: Optional[str] = None,
+    include_internal_credentials: bool = False,
 ) -> None:
     """
     Update data dictionary with model credentials (in-place).
@@ -306,8 +308,14 @@ def prepare_data_with_credentials(
         data: Data dictionary to update
         credentials: Credentials from router
         file_id: Optional original file_id to set (for decoded file IDs)
+        include_internal_credentials: Preserve an immutable server-side snapshot
+            for code paths that must distinguish proxy config from request params.
     """
     data.update(credentials)
+    if include_internal_credentials:
+        data["_litellm_internal_model_credentials"] = MappingProxyType(
+            dict(credentials)
+        )
     data.pop("custom_llm_provider", None)
 
     if file_id is not None:
diff --git a/litellm/proxy/openai_files_endpoints/files_endpoints.py b/litellm/proxy/openai_files_endpoints/files_endpoints.py
index c9be707af0c..378cbbda89c 100644
--- a/litellm/proxy/openai_files_endpoints/files_endpoints.py
+++ b/litellm/proxy/openai_files_endpoints/files_endpoints.py
@@ -774,6 +774,7 @@ async def get_file_content(  # noqa: PLR0915
                     data=data,
                     credentials=credentials,  # type: ignore
                     file_id=original_file_id,  # Use decoded file ID if from encoded ID
+                    include_internal_credentials=True,
                 )
                 response = await litellm.afile_content(
                     custom_llm_provider=credentials["custom_llm_provider"],  # type: ignore
@@ -949,6 +950,7 @@ async def get_file(
                 data=data,
                 credentials=credentials,  # type: ignore
                 file_id=original_file_id,
+                include_internal_credentials=True,
             )
 
             response = await litellm.afile_retrieve(**data)  # type: ignore
@@ -1149,6 +1151,7 @@ async def delete_file(
                 data=data,
                 credentials=credentials,  # type: ignore
                 file_id=original_file_id,
+                include_internal_credentials=True,
             )
 
             response = await litellm.afile_delete(
diff --git a/litellm/proxy/proxy_server.py b/litellm/proxy/proxy_server.py
index 3db13e8ada6..a5905765c6e 100644
--- a/litellm/proxy/proxy_server.py
+++ b/litellm/proxy/proxy_server.py
@@ -476,6 +476,7 @@ from litellm.secret_managers.main import (
     get_secret,
     get_secret_bool,
     get_secret_str,
+    normalize_nonempty_secret_str,
     str_to_bool,
 )
 from litellm.types.integrations.slack_alerting import SlackAlertingArgs
@@ -7487,6 +7488,7 @@ class ProxyStartupEvent:
         Requires: pip install pyroscope-io (optional dependency).
         When enabled, PYROSCOPE_SERVER_ADDRESS and PYROSCOPE_APP_NAME are required (no defaults).
         Optional: PYROSCOPE_SAMPLE_RATE (parsed as integer) to set the sample rate.
+        Optional: PYROSCOPE_GRAFANA_USER and PYROSCOPE_GRAFANA_API_TOKEN for Grafana Cloud basic auth.
         """
         if not get_secret_bool("LITELLM_ENABLE_PYROSCOPE", False):
             verbose_proxy_logger.debug(
@@ -7515,11 +7517,31 @@ class ProxyStartupEvent:
             if env_name:
                 tags["environment"] = env_name
             sample_rate_env = os.getenv("PYROSCOPE_SAMPLE_RATE")
+
+            grafana_pyroscope_user = normalize_nonempty_secret_str(
+                get_secret_str("PYROSCOPE_GRAFANA_USER", default_value=None)
+            )
+            grafana_api_token = normalize_nonempty_secret_str(
+                get_secret_str("PYROSCOPE_GRAFANA_API_TOKEN", default_value=None)
+            )
+            if grafana_api_token and not grafana_pyroscope_user:
+                raise ValueError(
+                    "PYROSCOPE_GRAFANA_API_TOKEN is set but PYROSCOPE_GRAFANA_USER is not set. "
+                    "Set PYROSCOPE_GRAFANA_USER to the Grafana Cloud Pyroscope user/tenant id."
+                )
+            if grafana_pyroscope_user and not grafana_api_token:
+                raise ValueError(
+                    "PYROSCOPE_GRAFANA_USER is set but PYROSCOPE_GRAFANA_API_TOKEN is not set. "
+                    "Set PYROSCOPE_GRAFANA_API_TOKEN to the Grafana Cloud API/access policy token."
+                )
             configure_kwargs = {
-                "app_name": app_name,
+                "application_name": app_name,
                 "server_address": server_address,
                 "tags": tags if tags else None,
             }
+            if grafana_api_token and grafana_pyroscope_user:
+                configure_kwargs["basic_auth_username"] = grafana_pyroscope_user
+                configure_kwargs["basic_auth_password"] = grafana_api_token
             if sample_rate_env is not None:
                 try:
                     # pyroscope-io expects sample_rate as an integer
diff --git a/litellm/proxy/public_endpoints/public_endpoints.py b/litellm/proxy/public_endpoints/public_endpoints.py
index d6ce454682e..7d9da543c75 100644
--- a/litellm/proxy/public_endpoints/public_endpoints.py
+++ b/litellm/proxy/public_endpoints/public_endpoints.py
@@ -5,7 +5,7 @@ from importlib.resources import files
 from typing import Any, Dict, List, Optional
 
 import litellm
-from fastapi import APIRouter, Depends, HTTPException
+from fastapi import APIRouter, HTTPException
 
 from litellm._logging import verbose_logger
 from litellm.litellm_core_utils.get_blog_posts import (
@@ -14,8 +14,9 @@ from litellm.litellm_core_utils.get_blog_posts import (
     GetBlogPosts,
     get_blog_posts,
 )
-from litellm.proxy._types import CommonProxyErrors
-from litellm.proxy.auth.user_api_key_auth import user_api_key_auth
+from litellm.proxy._types import (
+    CommonProxyErrors,
+)
 from litellm.types.agents import AgentCard
 from litellm.types.mcp import MCPPublicServer
 from litellm.types.proxy.management_endpoints.model_management_endpoints import (
@@ -31,6 +32,7 @@ from litellm.types.utils import LlmProviders
 
 router = APIRouter()
 
+
 # ---------------------------------------------------------------------------
 # /public/endpoints — helpers
 # ---------------------------------------------------------------------------
@@ -153,7 +155,6 @@ def _load_endpoints() -> List[Dict[str, Any]]:
 @router.get(
     "/public/model_hub",
     tags=["public", "model management"],
-    dependencies=[Depends(user_api_key_auth)],
     response_model=List[ModelGroupInfoProxy],
 )
 async def public_model_hub():
@@ -208,7 +209,6 @@ async def public_model_hub():
 @router.get(
     "/public/agent_hub",
     tags=["[beta] Agents", "public"],
-    dependencies=[Depends(user_api_key_auth)],
     response_model=List[AgentCard],
 )
 async def get_agents():
@@ -230,7 +230,6 @@ async def get_agents():
 @router.get(
     "/public/mcp_hub",
     tags=["[beta] MCP", "public"],
-    dependencies=[Depends(user_api_key_auth)],
     response_model=List[MCPPublicServer],
 )
 async def get_mcp_servers():
diff --git a/litellm/proxy/schema.prisma b/litellm/proxy/schema.prisma
index a9d3911c07b..84ce99557e3 100644
--- a/litellm/proxy/schema.prisma
+++ b/litellm/proxy/schema.prisma
@@ -884,28 +884,32 @@ model LiteLLM_ManagedFileTable {
   storage_backend String? // Storage backend name (e.g., "azure_storage", "gcs", "default")
   storage_url String? // The actual storage URL where the file is stored
   created_at DateTime @default(now())
-  created_by String? 
+  created_by String?
+  team_id String? // Team that owns the resource; populated for service-account keys without a user_id so listings can isolate by team.
   updated_at DateTime @updatedAt
   updated_by String?
 
   @@index([unified_file_id])
+  @@index([team_id, created_at(sort: Desc)])
 }
 
-model LiteLLM_ManagedObjectTable { // for batches or finetuning jobs which use the 
+model LiteLLM_ManagedObjectTable { // for batches or finetuning jobs which use the
   id String @id @default(uuid())
   unified_object_id String @unique // The base64 encoded unified file ID
-  model_object_id String @unique // the id returned by the backend API provider 
+  model_object_id String @unique // the id returned by the backend API provider
   file_object Json // Stores the OpenAIFileObject
   file_purpose String // either 'batch' or 'fine-tune'
-  status String? // check if batch cost has been tracked  
+  status String? // check if batch cost has been tracked
   batch_processed Boolean @default(false) // set to true by CheckBatchCost after cost is computed
   created_at DateTime @default(now())
   created_by String?
+  team_id String?
   updated_at DateTime @updatedAt
-  updated_by String? 
+  updated_by String?
 
   @@index([unified_object_id])
   @@index([model_object_id])
+  @@index([team_id, created_at(sort: Desc)])
 }
 
 model LiteLLM_ManagedVectorStoreTable {
@@ -918,10 +922,12 @@ model LiteLLM_ManagedVectorStoreTable {
   storage_url String? // Storage URL (if applicable)
   created_at DateTime @default(now())
   created_by String?
+  team_id String?
   updated_at DateTime @updatedAt
   updated_by String?
 
   @@index([unified_resource_id])
+  @@index([team_id, created_at(sort: Desc)])
 }
 
 model LiteLLM_ManagedVectorStoresTable {
diff --git a/litellm/proxy/spend_tracking/spend_log_error_logger.py b/litellm/proxy/spend_tracking/spend_log_error_logger.py
new file mode 100644
index 00000000000..cfe647b6600
--- /dev/null
+++ b/litellm/proxy/spend_tracking/spend_log_error_logger.py
@@ -0,0 +1,85 @@
+"""
+Logging helpers for spend-tracking error paths.
+
+Proxy operators have asked for a way to keep both their downstream log sinks
+and the SpendLogs UI free of the stack traces that the spend-tracking
+machinery emits when it hits 4xx/5xx or transient DB errors. The errors still
+need to be logged (and still flow to Sentry via
+``proxy_logging_obj.failure_handler``), but the multi-line stack traces
+dominate log volume and clutter the per-row Metadata pane in the UI.
+
+The opt-in is a single env var, ``LITELLM_SUPPRESS_SPEND_LOG_TRACEBACKS=true``,
+gated by ``should_suppress_spend_log_tracebacks``. When it returns ``True``:
+  * ``spend_log_error`` drops the traceback from the console / structured log
+    record (this module), and
+  * the failure callback in ``proxy_track_cost_callback`` drops the
+    ``error_information.traceback`` field from the SpendLogs row before it is
+    persisted, so the UI's per-row Metadata pane (which renders the metadata
+    JSON verbatim) stays clean. The key is omitted entirely rather than set
+    to ``""`` — ``StandardLoggingPayloadErrorInformation`` marks the field
+    optional and every downstream consumer uses ``.get("traceback")``.
+
+At DEBUG the full traceback is always preserved so operators can still
+troubleshoot. The UI suppression follows the same gate.
+"""
+
+import logging
+import os
+from typing import Any, Optional
+
+from litellm._logging import verbose_proxy_logger
+from litellm.secret_managers.main import str_to_bool
+
+SUPPRESS_SPEND_LOG_TRACEBACKS_ENV = "LITELLM_SUPPRESS_SPEND_LOG_TRACEBACKS"
+
+
+def _is_suppression_env_enabled() -> bool:
+    """Read the opt-in env var fresh each call so dynamic flips are honored.
+
+    Kept separate from ``should_suppress_spend_log_tracebacks`` so tests and
+    other call sites can introspect just the env-var state without also
+    consulting the live logger level.
+    """
+    return str_to_bool(os.getenv(SUPPRESS_SPEND_LOG_TRACEBACKS_ENV)) is True
+
+
+def should_suppress_spend_log_tracebacks() -> bool:
+    """Return ``True`` when spend-log traceback suppression should apply.
+
+    Suppression only kicks in when both:
+      * the operator opted in via the env var, and
+      * the proxy logger is at INFO or above (i.e. not DEBUG) — at DEBUG we
+        still want full tracebacks for troubleshooting.
+    """
+    if not _is_suppression_env_enabled():
+        return False
+    return not verbose_proxy_logger.isEnabledFor(logging.DEBUG)
+
+
+def spend_log_error(
+    message: str,
+    *args: Any,
+    exc: Optional[BaseException] = None,
+) -> None:
+    """Log a spend-tracking error, with the traceback gated on the env var.
+
+    By default this behaves like ``verbose_proxy_logger.exception`` — the
+    active exception (or ``exc`` if supplied) is attached so the formatter
+    renders its traceback. When ``LITELLM_SUPPRESS_SPEND_LOG_TRACEBACKS`` is
+    truthy and the logger is at INFO or above, the traceback is dropped and
+    only ``message % args`` is emitted.
+
+    Sentry / ``proxy_logging_obj.failure_handler`` is NOT invoked here — call
+    sites still own the alerting path. This helper is purely about console /
+    structured-log output volume.
+    """
+    if should_suppress_spend_log_tracebacks():
+        verbose_proxy_logger.error(message, *args)
+        return
+
+    if exc is not None:
+        verbose_proxy_logger.error(
+            message, *args, exc_info=(type(exc), exc, exc.__traceback__)
+        )
+    else:
+        verbose_proxy_logger.error(message, *args, exc_info=True)
diff --git a/litellm/proxy/spend_tracking/spend_management_endpoints.py b/litellm/proxy/spend_tracking/spend_management_endpoints.py
index 4b8b341a4bf..d030fabe8b5 100644
--- a/litellm/proxy/spend_tracking/spend_management_endpoints.py
+++ b/litellm/proxy/spend_tracking/spend_management_endpoints.py
@@ -3079,7 +3079,11 @@ async def global_spend_models(
     return response
 
 
-@router.get("/provider/budgets", response_model=ProviderBudgetResponse)
+@router.get(
+    "/provider/budgets",
+    dependencies=[Depends(user_api_key_auth)],
+    response_model=ProviderBudgetResponse,
+)
 async def provider_budgets() -> ProviderBudgetResponse:
     """
     Provider Budget Routing - Get Budget, Spend Details https://docs.litellm.ai/docs/proxy/provider_budget_routing
diff --git a/litellm/proxy/spend_tracking/spend_tracking_utils.py b/litellm/proxy/spend_tracking/spend_tracking_utils.py
index ec6245f47e9..8d2ccc6bba7 100644
--- a/litellm/proxy/spend_tracking/spend_tracking_utils.py
+++ b/litellm/proxy/spend_tracking/spend_tracking_utils.py
@@ -25,6 +25,7 @@ from litellm.litellm_core_utils.core_helpers import (
 )
 from litellm.litellm_core_utils.safe_json_dumps import safe_dumps
 from litellm.proxy._types import SpendLogsMetadata, SpendLogsPayload
+from litellm.proxy.spend_tracking.spend_log_error_logger import spend_log_error
 from litellm.proxy.utils import PrismaClient, hash_token
 from litellm.types.utils import (
     CostBreakdown,
@@ -471,9 +472,7 @@ def get_logging_payload(  # noqa: PLR0915
 
         return payload
     except Exception as e:
-        verbose_proxy_logger.exception(
-            "Error creating spendlogs object - {}".format(str(e))
-        )
+        spend_log_error("Error creating spendlogs object - %s", str(e), exc=e)
         raise e
 
 
@@ -611,6 +610,9 @@ def _get_messages_for_spend_logs_payload(
     return "{}"
 
 
+_SENSITIVE_REQUEST_BODY_KEYS = frozenset({"secret_fields"})
+
+
 def _sanitize_request_body_for_spend_logs_payload(
     request_body: dict,
     visited: Optional[set] = None,
@@ -619,6 +621,9 @@ def _sanitize_request_body_for_spend_logs_payload(
     """
     Recursively sanitize request body to prevent logging large base64 strings or other large values.
     Truncates strings longer than MAX_STRING_LENGTH_PROMPT_IN_DB characters and handles nested dictionaries.
+
+    Also strips keys listed in _SENSITIVE_REQUEST_BODY_KEYS (e.g. secret_fields
+    which contains raw HTTP headers including Authorization tokens).
     """
     from litellm.constants import (
         LITELLM_TRUNCATED_PAYLOAD_FIELD,
@@ -677,7 +682,11 @@ def _sanitize_request_body_for_spend_logs_payload(
             return value
         return value
 
-    return {k: _sanitize_value(v) for k, v in request_body.items()}
+    return {
+        k: _sanitize_value(v)
+        for k, v in request_body.items()
+        if k not in _SENSITIVE_REQUEST_BODY_KEYS
+    }
 
 
 def _convert_to_json_serializable_dict(
diff --git a/litellm/proxy/ui_crud_endpoints/proxy_setting_endpoints.py b/litellm/proxy/ui_crud_endpoints/proxy_setting_endpoints.py
index eed4f076467..db3ae9ad942 100644
--- a/litellm/proxy/ui_crud_endpoints/proxy_setting_endpoints.py
+++ b/litellm/proxy/ui_crud_endpoints/proxy_setting_endpoints.py
@@ -99,6 +99,11 @@ class UISettings(BaseModel):
         description="If true, requires authentication for accessing the public AI Hub.",
     )
 
+    allow_public_health_readiness_details: bool = Field(
+        default=False,
+        description="If true, returns the legacy detailed payload from the unauthenticated /health/readiness endpoint.",
+    )
+
     forward_client_headers_to_llm_api: bool = Field(
         default=False,
         description=(
@@ -169,6 +174,7 @@ ALLOWED_UI_SETTINGS_FIELDS = {
     "disable_team_admin_delete_team_user",
     "enabled_ui_pages_internal_users",
     "require_auth_for_public_ai_hub",
+    "allow_public_health_readiness_details",
     "forward_client_headers_to_llm_api",
     "forward_llm_provider_auth_headers",
     "disable_agents_for_internal_users",
@@ -183,6 +189,7 @@ ALLOWED_UI_SETTINGS_FIELDS = {
 # Flags that must be synced from the persisted UISettings into
 # general_settings at runtime (on both read and write).
 _RUNTIME_GENERAL_SETTINGS_FLAGS = [
+    "allow_public_health_readiness_details",
     "forward_client_headers_to_llm_api",
     "forward_llm_provider_auth_headers",
     "disable_agents_for_internal_users",
diff --git a/litellm/proxy/utils.py b/litellm/proxy/utils.py
index 69cd7b983e7..e7f5f4ee396 100644
--- a/litellm/proxy/utils.py
+++ b/litellm/proxy/utils.py
@@ -36,6 +36,7 @@ from litellm.proxy._types import (
     SpendLogsMetadata,
     SpendLogsPayload,
 )
+from litellm.proxy.spend_tracking.spend_log_error_logger import spend_log_error
 from litellm.types.guardrails import GuardrailEventHooks
 from litellm.types.utils import CallTypes, CallTypesLiteral
 
@@ -5106,6 +5107,11 @@ async def update_daily_tag_spend(
                 proxy_logging_obj=proxy_logging_obj,
             )
     except Exception as e:
+        # NOTE: keep this as a plain ``error`` (no traceback) to match the
+        # historical behavior of this site. ``spend_log_error`` would attach
+        # the active exception's traceback whenever the suppression env var
+        # is unset, which would be a regression for operators who never saw
+        # one here before.
         verbose_proxy_logger.error(f"Error updating daily tag spend: {e}")
 
 
@@ -5238,9 +5244,7 @@ async def _monitor_spend_logs_queue(
 
             await asyncio.sleep(current_interval)
         except Exception as e:
-            verbose_proxy_logger.error(
-                f"Error in spend logs queue monitor: {str(e)}\n{traceback.format_exc()}"
-            )
+            spend_log_error("Error in spend logs queue monitor: %s", str(e), exc=e)
             # Continue monitoring even if there's an error, with exponential backoff
             current_interval = min(current_interval * backoff_multiplier, max_backoff)
             await asyncio.sleep(current_interval)
diff --git a/litellm/proxy/vector_store_endpoints/endpoints.py b/litellm/proxy/vector_store_endpoints/endpoints.py
index 86e316e7f40..ccf15c206b0 100644
--- a/litellm/proxy/vector_store_endpoints/endpoints.py
+++ b/litellm/proxy/vector_store_endpoints/endpoints.py
@@ -8,6 +8,9 @@ from litellm.proxy._types import CommonProxyErrors, UserAPIKeyAuth
 from litellm.proxy.auth.user_api_key_auth import user_api_key_auth
 from litellm.proxy.common_request_processing import ProxyBaseLLMRequestProcessing
 from litellm.proxy.utils import jsonify_object
+from litellm.proxy.vector_store_endpoints.management_endpoints import (
+    _resolve_embedding_config,
+)
 from litellm.proxy.vector_store_endpoints.utils import (
     assert_user_can_access_vector_store,
     get_litellm_managed_vector_store,
@@ -56,6 +59,30 @@ async def _update_request_data_with_litellm_managed_vector_store_registry(
 
         if "litellm_params" in vector_store_to_run:
             litellm_params = vector_store_to_run.get("litellm_params", {}) or {}
+            # Resolve ``litellm_embedding_config`` here, at request-handling
+            # time, instead of at row-creation time. The resolved
+            # ``api_key`` / ``api_base`` / ``api_version`` lives only in
+            # this per-request ``data`` dict and is never persisted.
+            # Legacy rows that already carry a resolved (cleartext)
+            # ``litellm_embedding_config`` skip the lookup and pass through
+            # unchanged so the embed call keeps working.
+            embedding_model = litellm_params.get("litellm_embedding_model")
+            if embedding_model and not litellm_params.get("litellm_embedding_config"):
+                from litellm.proxy.proxy_server import prisma_client
+
+                resolved_config = await _resolve_embedding_config(
+                    embedding_model=embedding_model, prisma_client=prisma_client
+                )
+                if resolved_config:
+                    # Build a fresh dict via spread instead of mutating
+                    # ``litellm_params`` in place — the registry hands back
+                    # a reference to its cached object, so an in-place
+                    # update would persist the resolved cleartext into the
+                    # in-memory cache for the lifetime of the process.
+                    litellm_params = {
+                        **litellm_params,
+                        "litellm_embedding_config": resolved_config,
+                    }
             data.update(litellm_params)
     return data
 
diff --git a/litellm/proxy/vector_store_endpoints/management_endpoints.py b/litellm/proxy/vector_store_endpoints/management_endpoints.py
index 99a2085bfcd..cbb3d927184 100644
--- a/litellm/proxy/vector_store_endpoints/management_endpoints.py
+++ b/litellm/proxy/vector_store_endpoints/management_endpoints.py
@@ -16,6 +16,7 @@ from fastapi import APIRouter, Depends, HTTPException
 
 import litellm
 from litellm._logging import verbose_proxy_logger
+from litellm.caching.in_memory_cache import InMemoryCache
 from litellm.constants import REDACTED_BY_LITELM_STRING
 from litellm.litellm_core_utils.safe_json_dumps import safe_dumps
 from litellm.litellm_core_utils.sensitive_data_masker import SensitiveDataMasker
@@ -45,6 +46,28 @@ _LITELLM_PARAMS_MASKER = SensitiveDataMasker()
 
 _REDACT_LITELLM_PARAMS_MAX_DEPTH = 10
 
+# Use-time embedding-config resolution runs on every vector-store request
+# whose persisted row carries only a model reference (the post-fix shape).
+# Without a cache, that's one ``litellm_proxymodeltable.find_first`` per
+# request — the no-DB-in-critical-path rule. Hold the resolved config in
+# memory for a short TTL so a hot model name pays the DB lookup at most
+# once per ``_EMBEDDING_CONFIG_CACHE_TTL`` seconds. Cleartext credentials
+# only ever live in process memory (never persisted, never echoed in
+# management responses), so the cache doesn't widen the disclosure surface.
+_EMBEDDING_CONFIG_CACHE_TTL = 60
+_EMBEDDING_CONFIG_CACHE_MAX_SIZE = 256
+_embedding_config_cache: Optional[InMemoryCache] = None
+
+
+def _get_embedding_config_cache() -> InMemoryCache:
+    global _embedding_config_cache
+    if _embedding_config_cache is None:
+        _embedding_config_cache = InMemoryCache(
+            max_size_in_memory=_EMBEDDING_CONFIG_CACHE_MAX_SIZE,
+            default_ttl=_EMBEDDING_CONFIG_CACHE_TTL,
+        )
+    return _embedding_config_cache
+
 
 def _redact_sensitive_litellm_params(litellm_params: Any, _depth: int = 0) -> Any:
     """
@@ -303,6 +326,11 @@ async def _resolve_embedding_config(
     This function first checks the router for config-defined models, then falls back
     to the database. This allows users to use models defined in either location.
 
+    Results are cached in process memory for ``_EMBEDDING_CONFIG_CACHE_TTL``
+    seconds so the request-handling path doesn't hit the database on every
+    vector-store call. Negative results (model not found) are intentionally
+    not cached to avoid blocking a freshly-added model behind the TTL.
+
     Args:
         embedding_model: The embedding model string (e.g., "text-embedding-ada-002" or "azure/text-embedding-3-large")
         prisma_client: The Prisma client instance
@@ -314,6 +342,11 @@ async def _resolve_embedding_config(
     if not embedding_model:
         return None
 
+    cache = _get_embedding_config_cache()
+    cached = cache.get_cache(embedding_model)
+    if cached is not None:
+        return cached
+
     # Import llm_router if not provided
     if llm_router is None:
         try:
@@ -330,6 +363,7 @@ async def _resolve_embedding_config(
             verbose_proxy_logger.debug(
                 f"Resolved embedding config from router for model {embedding_model}"
             )
+            cache.set_cache(embedding_model, router_config)
             return router_config
 
     # Fall back to database
@@ -341,6 +375,7 @@ async def _resolve_embedding_config(
             verbose_proxy_logger.debug(
                 f"Resolved embedding config from database for model {embedding_model}"
             )
+            cache.set_cache(embedding_model, db_config)
             return db_config
 
     verbose_proxy_logger.debug(
@@ -432,20 +467,17 @@ async def create_vector_store_in_db(
     if user_id is not None:
         data_to_create["user_id"] = user_id
 
-    # Handle litellm_params - always provide at least an empty dict
+    # Handle litellm_params - always provide at least an empty dict.
+    # The earlier behaviour resolved ``litellm_embedding_config`` from the
+    # admin-configured router/DB model and persisted the cleartext result
+    # (``api_key``, ``api_base``, ``api_version``) into this row. That
+    # exposed every env-stored embedding-model credential on the
+    # ``/vector_store/{new,info,update,list}`` responses. Keep the user's
+    # raw ``litellm_embedding_model`` reference; resolution now happens in
+    # ``_update_request_data_with_litellm_managed_vector_store_registry``
+    # at request-handling time so the cleartext config exists only in
+    # per-request memory and never reaches the database.
     if litellm_params:
-        # Auto-resolve embedding config if embedding model is provided but config is not
-        embedding_model = litellm_params.get("litellm_embedding_model")
-        if embedding_model and not litellm_params.get("litellm_embedding_config"):
-            resolved_config = await _resolve_embedding_config(
-                embedding_model=embedding_model, prisma_client=prisma_client
-            )
-            if resolved_config:
-                litellm_params["litellm_embedding_config"] = resolved_config
-                verbose_proxy_logger.info(
-                    f"Auto-resolved embedding config for model {embedding_model}"
-                )
-
         litellm_params_dict = GenericLiteLLMParams(**litellm_params).model_dump(
             exclude_none=True
         )
@@ -531,10 +563,19 @@ async def new_vector_store(
             user_id=user_api_key_dict.user_id,
         )
 
+        # Apply the same litellm_params redaction the list / info / update
+        # endpoints already use, so a caller-supplied credential or a
+        # cleartext value persisted by an earlier proxy version doesn't
+        # come back in the response.
+        response_vs = LiteLLM_ManagedVectorStore(**new_vector_store)
+        response_vs["litellm_params"] = _redact_sensitive_litellm_params(
+            new_vector_store.get("litellm_params")
+        )
+
         return {
             "status": "success",
             "message": f"Vector store {vector_store.get('vector_store_id')} created successfully",
-            "vector_store": new_vector_store,
+            "vector_store": response_vs,
         }
     except Exception as e:
         verbose_proxy_logger.exception(f"Error creating vector store: {str(e)}")
@@ -865,24 +906,15 @@ async def update_vector_store(
                 update_data["vector_store_metadata"]
             )
 
-        # Handle litellm_params if provided
+        # Handle litellm_params if provided. As with the create path, the
+        # embedding-config auto-resolve previously persisted cleartext
+        # credentials into the row; resolution now happens at request-
+        # handling time in
+        # ``_update_request_data_with_litellm_managed_vector_store_registry``
+        # so this row only ever stores the user-supplied
+        # ``litellm_embedding_model`` reference.
         if "litellm_params" in update_data:
             _input_litellm_params: dict = update_data.get("litellm_params", {}) or {}
-
-            # Auto-resolve embedding config if embedding model is provided but config is not
-            embedding_model = _input_litellm_params.get("litellm_embedding_model")
-            if embedding_model and not _input_litellm_params.get(
-                "litellm_embedding_config"
-            ):
-                resolved_config = await _resolve_embedding_config(
-                    embedding_model=embedding_model, prisma_client=prisma_client
-                )
-                if resolved_config:
-                    _input_litellm_params["litellm_embedding_config"] = resolved_config
-                    verbose_proxy_logger.info(
-                        f"Auto-resolved embedding config for model {embedding_model}"
-                    )
-
             litellm_params_dict = GenericLiteLLMParams(
                 **_input_litellm_params
             ).model_dump(exclude_none=True)
diff --git a/litellm/router.py b/litellm/router.py
index 8e29f8cfc11..7512ee387dc 100644
--- a/litellm/router.py
+++ b/litellm/router.py
@@ -159,6 +159,7 @@ from litellm.types.router import (
     RouterModelGroupAliasItem,
     RouterRateLimitError,
     RouterRateLimitErrorBasic,
+    RoutingGroup,
     RoutingStrategy,
     SearchToolTypedDict,
 )
@@ -308,6 +309,7 @@ class Router:
         ] = "simple-shuffle",
         optional_pre_call_checks: Optional[OptionalPreCallChecks] = None,
         routing_strategy_args: dict = {},  # just for latency-based
+        routing_groups: Optional[List[Union[RoutingGroup, dict]]] = None,
         provider_budget_config: Optional[GenericBudgetConfigType] = None,
         alerting_config: Optional[AlertingConfig] = None,
         router_general_settings: Optional[
@@ -347,8 +349,9 @@ class Router:
             retry_after (int): Minimum time to wait before retrying a failed request. Defaults to 0.
             allowed_fails (Optional[int]): Number of allowed fails before adding to cooldown. Defaults to None.
             cooldown_time (float): Time to cooldown a deployment after failure in seconds. Defaults to 1.
-            routing_strategy (Literal["simple-shuffle", "least-busy", "usage-based-routing", "latency-based-routing", "cost-based-routing"]): Routing strategy. Defaults to "simple-shuffle".
-            routing_strategy_args (dict): Additional args for latency-based routing. Defaults to {}.
+            routing_strategy (Literal["simple-shuffle", "least-busy", "usage-based-routing", "latency-based-routing", "cost-based-routing"]): Routing strategy used for the implicit "default" group (any model not claimed by an entry in `routing_groups`). Defaults to "simple-shuffle".
+            routing_strategy_args (dict): Additional args for the default group's routing strategy (e.g. latency window). Defaults to {}.
+            routing_groups (Optional[List[RoutingGroup]]): Named subsets of `model_name`s that use a per-group routing strategy and args. Each model belongs to at most one explicit group; everything else lands in the implicit "default" group driven by `routing_strategy` / `routing_strategy_args`. Defaults to None.
             alerting_config (AlertingConfig): Slack alerting configuration. Defaults to None.
             provider_budget_config (ProviderBudgetConfig): Provider budget configuration. Use this to set llm_provider budget limits. example $100/day to OpenAI, $100/day to Azure, etc. Defaults to None.
             deployment_affinity_ttl_seconds (int): TTL for user-key -> deployment affinity mapping. Defaults to 3600.
@@ -541,7 +544,10 @@ class Router:
         self.stream_timeout = stream_timeout
 
         self.retry_after = retry_after
-        self.routing_strategy = routing_strategy
+        self.routing_strategy = self._normalize_strategy(routing_strategy)
+        self._routing_groups_input: Optional[List[Union[RoutingGroup, dict]]] = (
+            routing_groups
+        )
 
         ## SETTING FALLBACKS ##
         ### validate if it's set + in correct format
@@ -612,6 +618,7 @@ class Router:
             routing_strategy=routing_strategy,
             routing_strategy_args=routing_strategy_args,
         )
+        self._init_routing_groups(self._routing_groups_input)
         self.access_groups = None
         ## USAGE TRACKING ##
         if isinstance(litellm._async_success_callback, list):
@@ -806,84 +813,355 @@ class Router:
         if self.cache.redis_cache is None:
             self.cache.redis_cache = cache
 
+    # Maps a routing strategy string to the attribute on `self` that holds
+    # the default group's strategy selector for that strategy. (The selectors
+    # double as `CustomLogger` callbacks, hence the legacy `*_logger` attrs.)
+    _DEFAULT_SELECTOR_ATTR_BY_STRATEGY: Dict[str, str] = {
+        "least-busy": "leastbusy_logger",
+        "usage-based-routing": "lowesttpm_logger",
+        "usage-based-routing-v2": "lowesttpm_logger_v2",
+        "latency-based-routing": "lowestlatency_logger",
+        "cost-based-routing": "lowestcost_logger",
+    }
+
+    @staticmethod
+    def _normalize_strategy(
+        strategy: Union[RoutingStrategy, str, None]
+    ) -> Optional[str]:
+        if strategy is None:
+            return None
+        if isinstance(strategy, RoutingStrategy):
+            return strategy.value
+        return strategy
+
+    def _validate_routing_strategy(
+        self, routing_strategy: Union[RoutingStrategy, str, None]
+    ) -> None:
+        # See: https://github.com/BerriAI/litellm/issues/11330
+        valid_strategy_strings = ["simple-shuffle"] + [s.value for s in RoutingStrategy]
+        if routing_strategy is None:
+            return
+        is_valid_string = (
+            isinstance(routing_strategy, str)
+            and routing_strategy in valid_strategy_strings
+        )
+        is_valid_enum = isinstance(routing_strategy, RoutingStrategy)
+        if not is_valid_string and not is_valid_enum:
+            raise ValueError(
+                f"Invalid routing_strategy: '{routing_strategy}'. "
+                f"Valid options: {valid_strategy_strings}. "
+                f"Check 'router_settings.routing_strategy' in your config.yaml "
+                f"or the 'routing_strategy' parameter if using the Router SDK directly."
+            )
+
+    def _build_strategy_selector(
+        self,
+        strategy: Union[RoutingStrategy, str],
+        routing_strategy_args: dict,
+        register_callbacks: bool = True,
+    ) -> Optional[Any]:
+        """
+        Constructs a strategy selector for a given strategy.
+        Returns None for `simple-shuffle` (no selector needed) and unknown
+        strategies.
+        """
+        selector: Optional[Any] = None
+        match self._normalize_strategy(strategy):
+            case RoutingStrategy.LEAST_BUSY.value:
+                selector = LeastBusyLoggingHandler(router_cache=self.cache)
+                if register_callbacks:
+                    if isinstance(litellm.input_callback, list):
+                        litellm.input_callback.append(selector)  # type: ignore
+                    else:
+                        litellm.input_callback = [selector]  # type: ignore
+            case RoutingStrategy.USAGE_BASED_ROUTING.value:
+                selector = LowestTPMLoggingHandler(
+                    router_cache=self.cache,
+                    routing_args=routing_strategy_args,
+                )
+            case RoutingStrategy.USAGE_BASED_ROUTING_V2.value:
+                selector = LowestTPMLoggingHandler_v2(
+                    router_cache=self.cache,
+                    routing_args=routing_strategy_args,
+                )
+            case RoutingStrategy.LATENCY_BASED.value:
+                selector = LowestLatencyLoggingHandler(
+                    router_cache=self.cache,
+                    routing_args=routing_strategy_args,
+                )
+            case RoutingStrategy.COST_BASED.value:
+                selector = LowestCostLoggingHandler(
+                    router_cache=self.cache,
+                    routing_args={},
+                )
+
+        if (
+            selector is not None
+            and register_callbacks
+            and isinstance(litellm.callbacks, list)
+        ):
+            litellm.logging_callback_manager.add_litellm_callback(selector)  # type: ignore
+
+        return selector
+
+    def _unregister_router_selectors(self, selectors: List[Any]) -> None:
+        """
+        Drop router-owned strategy selectors from litellm's global callback
+        lists by identity. Used before re-init (`routing_strategy_init` /
+        `_init_routing_groups`) so repeated `update_settings` calls don't
+        accumulate dead selectors that keep receiving callback events.
+        """
+        selector_ids = {id(s) for s in selectors if s is not None}
+        if not selector_ids:
+            return
+        if isinstance(litellm.callbacks, list):
+            litellm.callbacks = [
+                c for c in litellm.callbacks if id(c) not in selector_ids
+            ]
+        if isinstance(litellm.input_callback, list):
+            litellm.input_callback = [
+                c for c in litellm.input_callback if id(c) not in selector_ids
+            ]
+
     def routing_strategy_init(
         self, routing_strategy: Union[RoutingStrategy, str], routing_strategy_args: dict
     ):
         verbose_router_logger.info(f"Routing strategy: {routing_strategy}")
+        self._validate_routing_strategy(routing_strategy)
 
-        # Validate routing_strategy value to fail fast with helpful error
-        # See: https://github.com/BerriAI/litellm/issues/11330
-        # Derive valid strategies from RoutingStrategy enum + "simple-shuffle" (default, not in enum)
-        valid_strategy_strings = ["simple-shuffle"] + [s.value for s in RoutingStrategy]
+        self._unregister_router_selectors(
+            [
+                getattr(self, attr, None)
+                for attr in self._DEFAULT_SELECTOR_ATTR_BY_STRATEGY.values()
+            ]
+        )
 
-        if routing_strategy is not None:
-            is_valid_string = (
-                isinstance(routing_strategy, str)
-                and routing_strategy in valid_strategy_strings
-            )
-            is_valid_enum = isinstance(routing_strategy, RoutingStrategy)
-            if not is_valid_string and not is_valid_enum:
+        self.leastbusy_logger: Optional[LeastBusyLoggingHandler] = None
+        self.lowesttpm_logger: Optional[LowestTPMLoggingHandler] = None
+        self.lowesttpm_logger_v2: Optional[LowestTPMLoggingHandler_v2] = None
+        self.lowestlatency_logger: Optional[LowestLatencyLoggingHandler] = None
+        self.lowestcost_logger: Optional[LowestCostLoggingHandler] = None
+
+        selector = self._build_strategy_selector(
+            strategy=routing_strategy,
+            routing_strategy_args=routing_strategy_args,
+        )
+        attr = self._DEFAULT_SELECTOR_ATTR_BY_STRATEGY.get(
+            self._normalize_strategy(routing_strategy) or ""
+        )
+        # TODO: legacy `self.<strategy>_logger` attributes are read directly by
+        # `get_settings()` and external callers. Fold the default group into
+        # `self._group_selectors["default"]` and drop these attribute writes —
+        # the dual storage is an antipattern preserved only for back-compat.
+        if attr is not None:
+            setattr(self, attr, selector)
+
+    def _init_routing_groups(
+        self,
+        groups_input: Optional[List[Union[RoutingGroup, dict]]],
+    ) -> None:
+        """
+        Validates and indexes `routing_groups`. Each `model_name` may belong to
+        at most one explicit group. Constructs per-group strategy selectors so
+        groups with different `routing_strategy_args` track independent state.
+
+        Models not claimed by any explicit group are served by the implicit
+        `"default"` group, whose selectors are the `self.<strategy>_logger`
+        attributes set up in `routing_strategy_init`.
+        """
+        self._unregister_router_selectors(
+            [
+                sel
+                for selectors in getattr(self, "_group_selectors", {}).values()
+                for sel in selectors.values()
+            ]
+        )
+
+        self._routing_groups: Dict[str, RoutingGroup] = {}
+        self._model_to_group: Dict[str, str] = {}
+        self._group_selectors: Dict[str, Dict[str, Any]] = {}
+
+        if not groups_input:
+            return
+
+        known_model_names = {
+            m.get("model_name") for m in (self.model_list or []) if m.get("model_name")
+        }
+
+        seen_group_names: set = set()
+        for raw in groups_input:
+            group = raw if isinstance(raw, RoutingGroup) else RoutingGroup(**raw)
+
+            if not group.group_name:
+                raise ValueError("routing_groups: group_name must be non-empty.")
+            if group.group_name == "default":
                 raise ValueError(
-                    f"Invalid routing_strategy: '{routing_strategy}'. "
-                    f"Valid options: {valid_strategy_strings}. "
-                    f"Check 'router_settings.routing_strategy' in your config.yaml "
-                    f"or the 'routing_strategy' parameter if using the Router SDK directly."
+                    "routing_groups: 'default' is reserved for the implicit fallback group."
                 )
+            if group.group_name in seen_group_names:
+                raise ValueError(
+                    f"routing_groups: group names must be unique, duplicate group_name '{group.group_name}'."
+                )
+            seen_group_names.add(group.group_name)
 
-        if (
-            routing_strategy == RoutingStrategy.LEAST_BUSY.value
-            or routing_strategy == RoutingStrategy.LEAST_BUSY
-        ):
-            self.leastbusy_logger = LeastBusyLoggingHandler(router_cache=self.cache)
-            ## add callback
-            if isinstance(litellm.input_callback, list):
-                litellm.input_callback.append(self.leastbusy_logger)  # type: ignore
-            else:
-                litellm.input_callback = [self.leastbusy_logger]  # type: ignore
-            if isinstance(litellm.callbacks, list):
-                litellm.logging_callback_manager.add_litellm_callback(self.leastbusy_logger)  # type: ignore
-        elif (
-            routing_strategy == RoutingStrategy.USAGE_BASED_ROUTING.value
-            or routing_strategy == RoutingStrategy.USAGE_BASED_ROUTING
-        ):
-            self.lowesttpm_logger = LowestTPMLoggingHandler(
-                router_cache=self.cache,
-                routing_args=routing_strategy_args,
+            self._validate_routing_strategy(group.routing_strategy)
+
+            for model_name in group.models:
+                if model_name in self._model_to_group:
+                    raise ValueError(
+                        f"routing_groups: model_name '{model_name}' appears in "
+                        f"both '{self._model_to_group[model_name]}' and "
+                        f"'{group.group_name}'. Each model may belong to at most one group."
+                    )
+                if known_model_names and model_name not in known_model_names:
+                    verbose_router_logger.warning(
+                        "routing_groups: model_name '%s' (group '%s') is not in model_list; "
+                        "the group entry will only take effect once a deployment with that "
+                        "model_name is added.",
+                        model_name,
+                        group.group_name,
+                    )
+                self._model_to_group[model_name] = group.group_name
+
+            self._routing_groups[group.group_name] = group
+
+            strategy_value = self._normalize_strategy(group.routing_strategy) or ""
+            group_selector = self._build_strategy_selector(
+                strategy=group.routing_strategy,
+                routing_strategy_args=group.routing_strategy_args or {},
             )
-            if isinstance(litellm.callbacks, list):
-                litellm.logging_callback_manager.add_litellm_callback(self.lowesttpm_logger)  # type: ignore
-        elif (
-            routing_strategy == RoutingStrategy.USAGE_BASED_ROUTING_V2.value
-            or routing_strategy == RoutingStrategy.USAGE_BASED_ROUTING_V2
-        ):
-            self.lowesttpm_logger_v2 = LowestTPMLoggingHandler_v2(
-                router_cache=self.cache,
-                routing_args=routing_strategy_args,
+            self._group_selectors[group.group_name] = (
+                {strategy_value: group_selector} if group_selector is not None else {}
             )
-            if isinstance(litellm.callbacks, list):
-                litellm.logging_callback_manager.add_litellm_callback(self.lowesttpm_logger_v2)  # type: ignore
-        elif (
-            routing_strategy == RoutingStrategy.LATENCY_BASED.value
-            or routing_strategy == RoutingStrategy.LATENCY_BASED
-        ):
-            self.lowestlatency_logger = LowestLatencyLoggingHandler(
-                router_cache=self.cache,
-                routing_args=routing_strategy_args,
+
+    def _get_routing_context(self, model: str) -> Tuple[Optional[str], Optional[Any]]:
+        """
+        Resolves the routing strategy and selector to use for the given model.
+
+        Every model belongs to exactly one group: an explicit entry from
+        `routing_groups`, or the implicit `"default"` group driven by the
+        router's top-level `routing_strategy` / `routing_strategy_args`.
+
+        `self.routing_strategy` may be either a string or a `RoutingStrategy`
+        enum member (the constructor accepts both), so it is normalized to a
+        string here. Downstream call sites and `_select_deployment_*` arms
+        compare against string literals.
+        """
+        group_name = self._model_to_group.get(model)
+        if group_name is None:
+            strategy = self._normalize_strategy(self.routing_strategy)
+            attr = self._DEFAULT_SELECTOR_ATTR_BY_STRATEGY.get(strategy or "")
+            selector = getattr(self, attr, None) if attr is not None else None
+            verbose_router_logger.debug(
+                "routing_group=default model=%s strategy=%s", model, strategy
             )
-            if isinstance(litellm.callbacks, list):
-                litellm.logging_callback_manager.add_litellm_callback(self.lowestlatency_logger)  # type: ignore
-        elif (
-            routing_strategy == RoutingStrategy.COST_BASED.value
-            or routing_strategy == RoutingStrategy.COST_BASED
-        ):
-            self.lowestcost_logger = LowestCostLoggingHandler(
-                router_cache=self.cache,
-                routing_args={},
-            )
-            if isinstance(litellm.callbacks, list):
-                litellm.logging_callback_manager.add_litellm_callback(self.lowestcost_logger)  # type: ignore
-        else:
-            pass
+            return strategy, selector
+
+        group = self._routing_groups[group_name]
+        strategy = self._normalize_strategy(group.routing_strategy)
+        selector = self._group_selectors.get(group_name, {}).get(strategy or "")
+        verbose_router_logger.debug(
+            "routing_group=%s model=%s strategy=%s", group_name, model, strategy
+        )
+        return strategy, selector
+
+    async def _select_deployment_async(
+        self,
+        *,
+        strategy: Optional[str],
+        selector: Optional[Any],
+        model: str,
+        healthy_deployments: list,
+        messages: Optional[List[Dict[str, str]]],
+        input: Optional[Union[str, List]],
+        request_kwargs: Optional[Dict],
+    ) -> Optional[Any]:
+        """
+        Asks the strategy selector for a deployment. Caller handles
+        `simple-shuffle` separately (it does not flow through a selector).
+        Returns None for unknown strategies or when the selector is missing.
+        """
+        if selector is None:
+            return None
+        match strategy:
+            case "least-busy":
+                return await selector.async_get_available_deployments(
+                    model_group=model,
+                    healthy_deployments=healthy_deployments,
+                )
+            case "usage-based-routing":
+                # `LowestTPMLoggingHandler` (v1) only exposes the sync
+                # `get_available_deployments`. Mirror the pre-routing-groups
+                # top-level fallback by calling it inline so groups using v1
+                # still work from async callers.
+                return selector.get_available_deployments(
+                    model_group=model,
+                    healthy_deployments=healthy_deployments,
+                    messages=messages,
+                    input=input,
+                )
+            case "usage-based-routing-v2" | "cost-based-routing":
+                return await selector.async_get_available_deployments(
+                    model_group=model,
+                    healthy_deployments=healthy_deployments,
+                    messages=messages,
+                    input=input,
+                )
+            case "latency-based-routing":
+                return await selector.async_get_available_deployments(
+                    model_group=model,
+                    healthy_deployments=healthy_deployments,
+                    messages=messages,
+                    input=input,
+                    request_kwargs=request_kwargs,
+                )
+            case _:
+                return None
+
+    def _select_deployment_sync(
+        self,
+        *,
+        strategy: Optional[str],
+        selector: Optional[Any],
+        model: str,
+        healthy_deployments: list,
+        messages: Optional[List[Dict[str, str]]],
+        input: Optional[Union[str, List]],
+        request_kwargs: Optional[Dict],
+    ) -> Optional[Any]:
+        """
+        Sync sibling of `_select_deployment_async`. Caller handles
+        `simple-shuffle` separately.
+        """
+        if selector is None:
+            return None
+
+        # `cost-based-routing` is intentionally omitted —
+        # `LowestCostLoggingHandler` only implements
+        # `async_get_available_deployments`
+        match strategy:
+            case "least-busy":
+                return selector.get_available_deployments(
+                    model_group=model,
+                    healthy_deployments=healthy_deployments,
+                )
+            case "usage-based-routing" | "usage-based-routing-v2":
+                return selector.get_available_deployments(
+                    model_group=model,
+                    healthy_deployments=healthy_deployments,
+                    messages=messages,
+                    input=input,
+                )
+            case "latency-based-routing":
+                return selector.get_available_deployments(
+                    model_group=model,
+                    healthy_deployments=healthy_deployments,
+                    messages=messages,
+                    input=input,
+                    request_kwargs=request_kwargs,
+                )
+            case _:
+                return None
 
     def initialize_assistants_endpoint(self):
         ## INITIALIZE PASS THROUGH ASSISTANTS ENDPOINT ##
@@ -9016,8 +9294,13 @@ class Router:
             if (
                 var == "routing_strategy_args"
                 and self.routing_strategy == "latency-based-routing"
+                and self.lowestlatency_logger is not None
             ):
                 _settings_to_return[var] = self.lowestlatency_logger.routing_args.json()
+
+        _settings_to_return["routing_groups"] = [
+            group.model_dump() for group in self._routing_groups.values()
+        ]
         return _settings_to_return
 
     def update_settings(self, **kwargs):
@@ -9028,6 +9311,7 @@ class Router:
         _allowed_settings = [
             "routing_strategy_args",
             "routing_strategy",
+            "routing_groups",
             "allowed_fails",
             "cooldown_time",
             "num_retries",
@@ -9049,26 +9333,34 @@ class Router:
         ]
 
         _existing_router_settings = self.get_settings()
+        rebuild_routing_groups = False
         for var in kwargs:
             if var in _allowed_settings:
                 if var in _int_settings:
                     _casted_value = int(kwargs[var])
                     setattr(self, var, _casted_value)
+                elif var == "routing_groups":
+                    self._routing_groups_input = kwargs[var]
+                    rebuild_routing_groups = True
                 else:
+                    value = kwargs[var]
                     # only run routing strategy init if it has changed
-                    if (
-                        var == "routing_strategy"
-                        and _existing_router_settings["routing_strategy"] != kwargs[var]
-                    ):
-                        self.routing_strategy_init(
-                            routing_strategy=kwargs[var],
-                            routing_strategy_args=kwargs.get(
-                                "routing_strategy_args", {}
-                            ),
-                        )
-                    setattr(self, var, kwargs[var])
+                    if var == "routing_strategy":
+                        value = self._normalize_strategy(value)
+                        if _existing_router_settings["routing_strategy"] != value:
+                            self.routing_strategy_init(
+                                routing_strategy=value,
+                                routing_strategy_args=kwargs.get(
+                                    "routing_strategy_args", {}
+                                ),
+                            )
+                            rebuild_routing_groups = True
+                    setattr(self, var, value)
             else:
                 verbose_router_logger.debug("Setting {} is not allowed".format(var))
+
+        if rebuild_routing_groups:
+            self._init_routing_groups(self._routing_groups_input)
         verbose_router_logger.debug(f"Updated Router settings: {self.get_settings()}")
 
     def _get_client(self, deployment, kwargs, client_type=None):
@@ -9779,6 +10071,11 @@ class Router:
                 messages = pre_routing_hook_response.messages
             #########################################################
 
+            # Resolve the strategy and logger AFTER the pre-routing hook, since
+            # the hook can replace `model` and routing-group lookup must key
+            # off the final model name.
+            strategy, strategy_selector = self._get_routing_context(model)
+
             healthy_deployments = await self.async_get_healthy_deployments(
                 model=model,
                 request_kwargs=request_kwargs,
@@ -9798,61 +10095,21 @@ class Router:
                 return healthy_deployments[0]
 
             start_time = time.time()
-            if (
-                self.routing_strategy == "usage-based-routing-v2"
-                and self.lowesttpm_logger_v2 is not None
-            ):
-                deployment = (
-                    await self.lowesttpm_logger_v2.async_get_available_deployments(
-                        model_group=model,
-                        healthy_deployments=healthy_deployments,  # type: ignore
-                        messages=messages,
-                        input=input,
-                    )
-                )
-            elif (
-                self.routing_strategy == "cost-based-routing"
-                and self.lowestcost_logger is not None
-            ):
-                deployment = (
-                    await self.lowestcost_logger.async_get_available_deployments(
-                        model_group=model,
-                        healthy_deployments=healthy_deployments,  # type: ignore
-                        messages=messages,
-                        input=input,
-                    )
-                )
-            elif (
-                self.routing_strategy == "latency-based-routing"
-                and self.lowestlatency_logger is not None
-            ):
-                deployment = (
-                    await self.lowestlatency_logger.async_get_available_deployments(
-                        model_group=model,
-                        healthy_deployments=healthy_deployments,  # type: ignore
-                        messages=messages,
-                        input=input,
-                        request_kwargs=request_kwargs,
-                    )
-                )
-            elif self.routing_strategy == "simple-shuffle":
+            if strategy == "simple-shuffle":
                 return simple_shuffle(
                     llm_router_instance=self,
                     healthy_deployments=healthy_deployments,
                     model=model,
                 )
-            elif (
-                self.routing_strategy == "least-busy"
-                and self.leastbusy_logger is not None
-            ):
-                deployment = (
-                    await self.leastbusy_logger.async_get_available_deployments(
-                        model_group=model,
-                        healthy_deployments=healthy_deployments,  # type: ignore
-                    )
-                )
-            else:
-                deployment = None
+            deployment = await self._select_deployment_async(
+                strategy=strategy,
+                selector=strategy_selector,
+                model=model,
+                healthy_deployments=healthy_deployments,  # type: ignore
+                messages=messages,
+                input=input,
+                request_kwargs=request_kwargs,
+            )
             if deployment is None:
                 exception = await async_raise_no_deployment_exception(
                     litellm_router_instance=self,
@@ -9960,49 +10217,22 @@ class Router:
 
             # 5. Apply load balancing strategy
             start_time = time.perf_counter()
-            if (
-                self.routing_strategy == "usage-based-routing-v2"
-                and self.lowesttpm_logger_v2 is not None
-            ):
-                deployment = (
-                    await self.lowesttpm_logger_v2.async_get_available_deployments(
-                        model_group=model,
-                        healthy_deployments=pass_through_deployments,  # type: ignore
-                        messages=messages,
-                        input=input,
-                    )
-                )
-            elif (
-                self.routing_strategy == "latency-based-routing"
-                and self.lowestlatency_logger is not None
-            ):
-                deployment = (
-                    await self.lowestlatency_logger.async_get_available_deployments(
-                        model_group=model,
-                        healthy_deployments=pass_through_deployments,  # type: ignore
-                        messages=messages,
-                        input=input,
-                        request_kwargs=request_kwargs,
-                    )
-                )
-            elif self.routing_strategy == "simple-shuffle":
+            strategy, strategy_selector = self._get_routing_context(model)
+            if strategy == "simple-shuffle":
                 return simple_shuffle(
                     llm_router_instance=self,
                     healthy_deployments=pass_through_deployments,
                     model=model,
                 )
-            elif (
-                self.routing_strategy == "least-busy"
-                and self.leastbusy_logger is not None
-            ):
-                deployment = (
-                    await self.leastbusy_logger.async_get_available_deployments(
-                        model_group=model,
-                        healthy_deployments=pass_through_deployments,  # type: ignore
-                    )
-                )
-            else:
-                deployment = None
+            deployment = await self._select_deployment_async(
+                strategy=strategy,
+                selector=strategy_selector,
+                model=model,
+                healthy_deployments=pass_through_deployments,  # type: ignore
+                messages=messages,
+                input=input,
+                request_kwargs=request_kwargs,
+            )
 
             if deployment is None:
                 exception = await async_raise_no_deployment_exception(
@@ -10191,11 +10421,8 @@ class Router:
                 cooldown_list=_cooldown_list,
             )
 
-        if self.routing_strategy == "least-busy" and self.leastbusy_logger is not None:
-            deployment = self.leastbusy_logger.get_available_deployments(
-                model_group=model, healthy_deployments=healthy_deployments  # type: ignore
-            )
-        elif self.routing_strategy == "simple-shuffle":
+        strategy, strategy_selector = self._get_routing_context(model)
+        if strategy == "simple-shuffle":
             # if users pass rpm or tpm, we do a random weighted pick - based on rpm/tpm
             ############## Check 'weight' param set for weighted pick #################
             return simple_shuffle(
@@ -10203,37 +10430,15 @@ class Router:
                 healthy_deployments=healthy_deployments,
                 model=model,
             )
-        elif (
-            self.routing_strategy == "latency-based-routing"
-            and self.lowestlatency_logger is not None
-        ):
-            deployment = self.lowestlatency_logger.get_available_deployments(
-                model_group=model,
-                healthy_deployments=healthy_deployments,  # type: ignore
-                request_kwargs=request_kwargs,
-            )
-        elif (
-            self.routing_strategy == "usage-based-routing"
-            and self.lowesttpm_logger is not None
-        ):
-            deployment = self.lowesttpm_logger.get_available_deployments(
-                model_group=model,
-                healthy_deployments=healthy_deployments,  # type: ignore
-                messages=messages,
-                input=input,
-            )
-        elif (
-            self.routing_strategy == "usage-based-routing-v2"
-            and self.lowesttpm_logger_v2 is not None
-        ):
-            deployment = self.lowesttpm_logger_v2.get_available_deployments(
-                model_group=model,
-                healthy_deployments=healthy_deployments,  # type: ignore
-                messages=messages,
-                input=input,
-            )
-        else:
-            deployment = None
+        deployment = self._select_deployment_sync(
+            strategy=strategy,
+            selector=strategy_selector,
+            model=model,
+            healthy_deployments=healthy_deployments,  # type: ignore
+            messages=messages,
+            input=input,
+            request_kwargs=request_kwargs,
+        )
 
         if deployment is None:
             verbose_router_logger.info(
@@ -10359,47 +10564,22 @@ class Router:
             )
 
         # 6. Apply load balancing strategy
-        if self.routing_strategy == "least-busy" and self.leastbusy_logger is not None:
-            deployment = self.leastbusy_logger.get_available_deployments(
-                model_group=model, healthy_deployments=pass_through_deployments  # type: ignore
-            )
-        elif self.routing_strategy == "simple-shuffle":
+        strategy, strategy_selector = self._get_routing_context(model)
+        if strategy == "simple-shuffle":
             return simple_shuffle(
                 llm_router_instance=self,
                 healthy_deployments=pass_through_deployments,
                 model=model,
             )
-        elif (
-            self.routing_strategy == "latency-based-routing"
-            and self.lowestlatency_logger is not None
-        ):
-            deployment = self.lowestlatency_logger.get_available_deployments(
-                model_group=model,
-                healthy_deployments=pass_through_deployments,  # type: ignore
-                request_kwargs=request_kwargs,
-            )
-        elif (
-            self.routing_strategy == "usage-based-routing"
-            and self.lowesttpm_logger is not None
-        ):
-            deployment = self.lowesttpm_logger.get_available_deployments(
-                model_group=model,
-                healthy_deployments=pass_through_deployments,  # type: ignore
-                messages=messages,
-                input=input,
-            )
-        elif (
-            self.routing_strategy == "usage-based-routing-v2"
-            and self.lowesttpm_logger_v2 is not None
-        ):
-            deployment = self.lowesttpm_logger_v2.get_available_deployments(
-                model_group=model,
-                healthy_deployments=pass_through_deployments,  # type: ignore
-                messages=messages,
-                input=input,
-            )
-        else:
-            deployment = None
+        deployment = self._select_deployment_sync(
+            strategy=strategy,
+            selector=strategy_selector,
+            model=model,
+            healthy_deployments=pass_through_deployments,  # type: ignore
+            messages=messages,
+            input=input,
+            request_kwargs=request_kwargs,
+        )
 
         if deployment is None:
             verbose_router_logger.info(
diff --git a/litellm/secret_managers/main.py b/litellm/secret_managers/main.py
index a560f5222b9..5c31d81f04c 100644
--- a/litellm/secret_managers/main.py
+++ b/litellm/secret_managers/main.py
@@ -120,6 +120,19 @@ def get_secret_str(
     return value
 
 
+def normalize_nonempty_secret_str(val: Optional[str]) -> Optional[str]:
+    """
+    Strip whitespace and treat None, '', and whitespace-only strings as unset.
+
+    Use when pairing secrets (mutual exclusion, optional auth) so whitespace-only
+    values do not count as present.
+    """
+    if val is None:
+        return None
+    stripped = val.strip()
+    return stripped if stripped else None
+
+
 def get_secret_bool(
     secret_name: str,
     default_value: Optional[bool] = None,
diff --git a/litellm/skills/main.py b/litellm/skills/main.py
index 3ff0f52c641..cee811d84fd 100644
--- a/litellm/skills/main.py
+++ b/litellm/skills/main.py
@@ -34,6 +34,29 @@ DEFAULT_ANTHROPIC_API_BASE = "https://api.anthropic.com/v1"
 _litellm_skills_handler = None
 
 
+def _get_user_api_key_auth_from_kwargs(kwargs: Dict[str, Any]) -> Optional[Any]:
+    for metadata_key in ("metadata", "litellm_metadata"):
+        metadata = kwargs.get(metadata_key)
+        if isinstance(metadata, dict) and metadata.get("user_api_key_auth") is not None:
+            return metadata["user_api_key_auth"]
+    return None
+
+
+def _get_skill_request_metadata(
+    kwargs: Dict[str, Any],
+    extra_body: Optional[Dict[str, Any]],
+) -> Optional[Dict[str, Any]]:
+    if extra_body and isinstance(extra_body.get("metadata"), dict):
+        return extra_body["metadata"]
+
+    metadata = kwargs.get("metadata")
+    if isinstance(metadata, dict) and isinstance(
+        metadata.get("requester_metadata"), dict
+    ):
+        return metadata["requester_metadata"]
+    return None
+
+
 def _get_litellm_skills_handler():
     """Lazy initialization of LiteLLM skills handler to avoid import overhead."""
     global _litellm_skills_handler
@@ -165,8 +188,9 @@ def create_skill(
             return _get_litellm_skills_handler().create_skill_handler(
                 display_title=display_title,
                 files=files,
-                metadata=extra_body.get("metadata") if extra_body else None,
+                metadata=_get_skill_request_metadata(kwargs, extra_body),
                 user_id=kwargs.get("user_id"),
+                user_api_key_dict=_get_user_api_key_auth_from_kwargs(kwargs),
                 _is_async=_is_async,
                 logging_obj=litellm_logging_obj,
                 litellm_call_id=litellm_call_id,
@@ -348,6 +372,7 @@ def list_skills(
             return _get_litellm_skills_handler().list_skills_handler(
                 limit=limit or 20,
                 offset=0,
+                user_api_key_dict=_get_user_api_key_auth_from_kwargs(kwargs),
                 _is_async=_is_async,
                 logging_obj=litellm_logging_obj,
                 litellm_call_id=litellm_call_id,
@@ -523,6 +548,7 @@ def get_skill(
         if custom_llm_provider == LlmProviders.LITELLM_PROXY.value:
             return _get_litellm_skills_handler().get_skill_handler(
                 skill_id=skill_id,
+                user_api_key_dict=_get_user_api_key_auth_from_kwargs(kwargs),
                 _is_async=_is_async,
                 logging_obj=litellm_logging_obj,
                 litellm_call_id=litellm_call_id,
@@ -690,6 +716,7 @@ def delete_skill(
         if custom_llm_provider == LlmProviders.LITELLM_PROXY.value:
             return _get_litellm_skills_handler().delete_skill_handler(
                 skill_id=skill_id,
+                user_api_key_dict=_get_user_api_key_auth_from_kwargs(kwargs),
                 _is_async=_is_async,
                 logging_obj=litellm_logging_obj,
                 litellm_call_id=litellm_call_id,
diff --git a/litellm/types/llms/anthropic.py b/litellm/types/llms/anthropic.py
index c376b8694af..1c4d31d21ad 100644
--- a/litellm/types/llms/anthropic.py
+++ b/litellm/types/llms/anthropic.py
@@ -393,6 +393,7 @@ class AnthropicMessagesRequestOptionalParams(TypedDict, total=False):
         AnthropicOutputConfig
     ]  # Configuration for Claude's output behavior
     cache_control: Optional[Dict[str, Any]]  # Automatic prompt caching
+    reasoning_effort: Optional[str]
 
 
 class AnthropicMessagesRequest(AnthropicMessagesRequestOptionalParams, total=False):
diff --git a/litellm/types/llms/bedrock.py b/litellm/types/llms/bedrock.py
index 9ffb52ef88d..64827db13f6 100644
--- a/litellm/types/llms/bedrock.py
+++ b/litellm/types/llms/bedrock.py
@@ -1041,3 +1041,4 @@ class BedrockInvokeAnthropicMessagesRequest(TypedDict, total=False):
     # `metadata` is part of the common Anthropic Messages API shape.
     thinking: dict
     metadata: dict
+    output_config: dict
diff --git a/litellm/types/management_endpoints/router_settings_endpoints.py b/litellm/types/management_endpoints/router_settings_endpoints.py
index 4c2abfdbca8..6b18211cb70 100644
--- a/litellm/types/management_endpoints/router_settings_endpoints.py
+++ b/litellm/types/management_endpoints/router_settings_endpoints.py
@@ -112,6 +112,14 @@ ROUTER_SETTINGS_FIELDS: List[RouterSettingsField] = [
         field_default={},
         ui_field_name="Routing Strategy Args",
     ),
+    RouterSettingsField(
+        field_name="routing_groups",
+        field_type="List",
+        field_value=None,
+        field_description="Named subsets of model_names that share a routing strategy. Models not claimed by an explicit group fall through to the top-level routing_strategy.",
+        field_default=[],
+        ui_field_name="Routing Groups",
+    ),
     RouterSettingsField(
         field_name="num_retries",
         field_type="Integer",
diff --git a/litellm/types/router.py b/litellm/types/router.py
index 2bc8cee3518..926815ba317 100644
--- a/litellm/types/router.py
+++ b/litellm/types/router.py
@@ -38,6 +38,19 @@ class ModelConfig(BaseModel):
     model_config = ConfigDict(protected_namespaces=())
 
 
+class RoutingGroup(BaseModel):
+    """
+    A group of models that share a routing strategy.
+    """
+
+    group_name: str
+    models: List[str]
+    routing_strategy: str
+    routing_strategy_args: Optional[dict] = None
+
+    model_config = ConfigDict(protected_namespaces=())
+
+
 class RouterConfig(BaseModel):
     model_list: List[ModelConfig]
 
@@ -65,6 +78,7 @@ class RouterConfig(BaseModel):
         "usage-based-routing",
         "latency-based-routing",
     ] = "simple-shuffle"
+    routing_groups: Optional[List[RoutingGroup]] = None
 
     model_config = ConfigDict(protected_namespaces=())
 
@@ -76,6 +90,7 @@ class UpdateRouterConfig(BaseModel):
 
     routing_strategy_args: Optional[dict] = None
     routing_strategy: Optional[str] = None
+    routing_groups: Optional[List[RoutingGroup]] = None
     model_group_retry_policy: Optional[dict] = None
     model_group_affinity_config: Optional[Dict[str, List[str]]] = None
     allowed_fails: Optional[int] = None
diff --git a/litellm/utils.py b/litellm/utils.py
index 8c1b6452ced..0c5b694bd77 100644
--- a/litellm/utils.py
+++ b/litellm/utils.py
@@ -2243,12 +2243,52 @@ def encode(model="", text="", custom_tokenizer: Optional[dict] = None):
     return enc
 
 
-def decode(model="", tokens: List[int] = [], custom_tokenizer: Optional[dict] = None):
+def decode(
+    model="",
+    tokens: List[int] = [],
+    custom_tokenizer: Optional[dict] = None,
+    skip_special_tokens: bool = True,
+):
+    """
+    Decodes token ids using the selected tokenizer.
+
+    Args:
+        skip_special_tokens: For HuggingFace tokenizers, keep the historical
+            LiteLLM round-trip behavior by omitting special tokens by default.
+            Set to False to inspect decoded BOS/EOS tokens.
+    """
     tokenizer_json = custom_tokenizer or _select_tokenizer(model=model)
+    if tokenizer_json["type"] == "huggingface_tokenizer":
+        if skip_special_tokens:
+            tokens = _strip_huggingface_special_token_ids(
+                tokenizer_json["tokenizer"], tokens
+            )
+        dec = tokenizer_json["tokenizer"].decode(
+            tokens, skip_special_tokens=skip_special_tokens
+        )
+        return dec
     dec = tokenizer_json["tokenizer"].decode(tokens)
     return dec
 
 
+def _strip_huggingface_special_token_ids(
+    tokenizer: Tokenizer, tokens: List[int]
+) -> List[int]:
+    try:
+        added_tokens_decoder = tokenizer.get_added_tokens_decoder()
+    except Exception:
+        return tokens
+
+    special_token_ids = {
+        token_id
+        for token_id, added_token in added_tokens_decoder.items()
+        if getattr(added_token, "special", False)
+    }
+    if not special_token_ids:
+        return tokens
+    return [token for token in tokens if token not in special_token_ids]
+
+
 def create_pretrained_tokenizer(
     identifier: str, revision="main", auth_token: Optional[str] = None
 ):
diff --git a/model_prices_and_context_window.json b/model_prices_and_context_window.json
index 76dcfc55c10..9c085c2c992 100644
--- a/model_prices_and_context_window.json
+++ b/model_prices_and_context_window.json
@@ -977,6 +977,7 @@
         "supports_pdf_input": true,
         "supports_prompt_caching": true,
         "supports_reasoning": true,
+        "supports_minimal_reasoning_effort": true,
         "supports_response_schema": true,
         "supports_tool_choice": true,
         "supports_vision": true,
@@ -1174,6 +1175,7 @@
         "supports_vision": true,
         "supports_prompt_caching": false,
         "supports_reasoning": true,
+        "supports_minimal_reasoning_effort": true,
         "supports_tool_choice": true
     },
     "global.anthropic.claude-opus-4-7": {
@@ -1321,6 +1323,7 @@
         "supports_prompt_caching": true,
         "supports_reasoning": true,
         "supports_response_schema": true,
+        "supports_max_reasoning_effort": true,
         "supports_tool_choice": true,
         "supports_vision": true,
         "tool_use_system_prompt_tokens": 346,
@@ -1350,6 +1353,7 @@
         "supports_prompt_caching": true,
         "supports_reasoning": true,
         "supports_response_schema": true,
+        "supports_max_reasoning_effort": true,
         "supports_tool_choice": true,
         "supports_vision": true,
         "tool_use_system_prompt_tokens": 346,
@@ -1379,6 +1383,7 @@
         "supports_prompt_caching": true,
         "supports_reasoning": true,
         "supports_response_schema": true,
+        "supports_max_reasoning_effort": true,
         "supports_tool_choice": true,
         "supports_vision": true,
         "tool_use_system_prompt_tokens": 346,
@@ -1407,6 +1412,7 @@
         "supports_prompt_caching": true,
         "supports_reasoning": true,
         "supports_response_schema": true,
+        "supports_max_reasoning_effort": true,
         "supports_tool_choice": true,
         "supports_vision": true,
         "tool_use_system_prompt_tokens": 346,
@@ -1435,6 +1441,7 @@
         "supports_prompt_caching": true,
         "supports_reasoning": true,
         "supports_response_schema": true,
+        "supports_max_reasoning_effort": true,
         "supports_tool_choice": true,
         "supports_vision": true,
         "tool_use_system_prompt_tokens": 346,
@@ -1929,6 +1936,7 @@
         "supports_pdf_input": true,
         "supports_prompt_caching": true,
         "supports_reasoning": true,
+        "supports_minimal_reasoning_effort": true,
         "supports_response_schema": true,
         "supports_tool_choice": true,
         "supports_vision": true
@@ -2052,6 +2060,7 @@
         "supports_prompt_caching": true,
         "supports_reasoning": true,
         "supports_response_schema": true,
+        "supports_max_reasoning_effort": true,
         "supports_tool_choice": true,
         "supports_vision": true,
         "tool_use_system_prompt_tokens": 346,
@@ -9219,6 +9228,7 @@
             "search_context_size_low": 0.01,
             "search_context_size_medium": 0.01
         },
+        "supports_adaptive_thinking": true,
         "supports_assistant_prefill": true,
         "supports_computer_use": true,
         "supports_function_calling": true,
@@ -9226,6 +9236,7 @@
         "supports_prompt_caching": true,
         "supports_reasoning": true,
         "supports_response_schema": true,
+        "supports_max_reasoning_effort": true,
         "supports_tool_choice": true,
         "supports_vision": true,
         "tool_use_system_prompt_tokens": 346,
@@ -9361,6 +9372,7 @@
         "supports_pdf_input": true,
         "supports_prompt_caching": true,
         "supports_reasoning": true,
+        "supports_minimal_reasoning_effort": true,
         "supports_response_schema": true,
         "supports_tool_choice": true,
         "supports_vision": true,
@@ -9388,6 +9400,7 @@
         "supports_pdf_input": true,
         "supports_prompt_caching": true,
         "supports_reasoning": true,
+        "supports_minimal_reasoning_effort": true,
         "supports_response_schema": true,
         "supports_tool_choice": true,
         "supports_vision": true,
@@ -9409,6 +9422,7 @@
             "search_context_size_low": 0.01,
             "search_context_size_medium": 0.01
         },
+        "supports_adaptive_thinking": true,
         "supports_assistant_prefill": false,
         "supports_computer_use": true,
         "supports_function_calling": true,
@@ -9442,6 +9456,7 @@
             "search_context_size_low": 0.01,
             "search_context_size_medium": 0.01
         },
+        "supports_adaptive_thinking": true,
         "supports_assistant_prefill": false,
         "supports_computer_use": true,
         "supports_function_calling": true,
@@ -9475,6 +9490,7 @@
             "search_context_size_low": 0.01,
             "search_context_size_medium": 0.01
         },
+        "supports_adaptive_thinking": true,
         "supports_assistant_prefill": false,
         "supports_computer_use": true,
         "supports_function_calling": true,
@@ -9491,7 +9507,6 @@
             "us": 1.1,
             "fast": 6.0
         },
-        "supports_max_reasoning_effort": true,
         "supports_minimal_reasoning_effort": true
     },
     "claude-opus-4-7-20260416": {
@@ -9510,6 +9525,7 @@
             "search_context_size_low": 0.01,
             "search_context_size_medium": 0.01
         },
+        "supports_adaptive_thinking": true,
         "supports_assistant_prefill": false,
         "supports_computer_use": true,
         "supports_function_calling": true,
@@ -9526,7 +9542,6 @@
             "us": 1.1,
             "fast": 6.0
         },
-        "supports_max_reasoning_effort": true,
         "supports_minimal_reasoning_effort": true
     },
     "claude-sonnet-4-20250514": {
@@ -10804,6 +10819,7 @@
         "supports_assistant_prefill": true,
         "supports_function_calling": true,
         "supports_reasoning": true,
+        "supports_minimal_reasoning_effort": true,
         "supports_tool_choice": true
     },
     "databricks/databricks-claude-sonnet-4": {
@@ -17164,7 +17180,8 @@
         ],
         "supports_function_calling": true,
         "supports_parallel_function_calling": true,
-        "supports_vision": true
+        "supports_vision": true,
+        "supports_minimal_reasoning_effort": true
     },
     "github_copilot/claude-opus-4.6-fast": {
         "litellm_provider": "github_copilot",
@@ -17677,7 +17694,8 @@
         "mode": "chat",
         "output_cost_per_token": 2.5e-05,
         "supports_function_calling": true,
-        "supports_vision": true
+        "supports_vision": true,
+        "supports_minimal_reasoning_effort": true
     },
     "gmi/anthropic/claude-sonnet-4.5": {
         "input_cost_per_token": 3e-06,
@@ -26095,6 +26113,7 @@
         "supports_function_calling": true,
         "supports_prompt_caching": true,
         "supports_reasoning": true,
+        "supports_max_reasoning_effort": true,
         "supports_tool_choice": true,
         "supports_vision": true,
         "tool_use_system_prompt_tokens": 159,
@@ -26113,6 +26132,7 @@
         "supports_assistant_prefill": true,
         "supports_computer_use": true,
         "supports_function_calling": true,
+        "supports_minimal_reasoning_effort": true,
         "supports_prompt_caching": true,
         "supports_reasoning": true,
         "supports_tool_choice": true,
@@ -26134,6 +26154,7 @@
         "supports_function_calling": true,
         "supports_prompt_caching": true,
         "supports_reasoning": true,
+        "supports_max_reasoning_effort": true,
         "supports_tool_choice": true,
         "supports_vision": true,
         "tool_use_system_prompt_tokens": 346,
@@ -26199,6 +26220,7 @@
         "supports_prompt_caching": true,
         "supports_reasoning": true,
         "supports_response_schema": true,
+        "supports_max_reasoning_effort": true,
         "supports_tool_choice": true,
         "supports_vision": true,
         "supports_xhigh_reasoning_effort": true,
@@ -28078,7 +28100,8 @@
         "mode": "responses",
         "supports_web_search": true,
         "supports_reasoning": false,
-        "supports_function_calling": true
+        "supports_function_calling": true,
+        "supports_minimal_reasoning_effort": true
     },
     "perplexity/anthropic/claude-sonnet-4-5": {
         "litellm_provider": "perplexity",
@@ -30557,6 +30580,7 @@
         "supports_assistant_prefill": true,
         "supports_computer_use": true,
         "supports_function_calling": true,
+        "supports_minimal_reasoning_effort": true,
         "supports_pdf_input": true,
         "supports_prompt_caching": true,
         "supports_reasoning": true,
@@ -30585,6 +30609,7 @@
         "supports_assistant_prefill": true,
         "supports_computer_use": true,
         "supports_function_calling": true,
+        "supports_minimal_reasoning_effort": true,
         "supports_pdf_input": true,
         "supports_prompt_caching": true,
         "supports_reasoning": true,
@@ -30612,6 +30637,7 @@
         "supports_assistant_prefill": true,
         "supports_computer_use": true,
         "supports_function_calling": true,
+        "supports_minimal_reasoning_effort": true,
         "supports_pdf_input": true,
         "supports_prompt_caching": true,
         "supports_reasoning": true,
@@ -31192,6 +31218,7 @@
         "output_cost_per_token": 2.5e-05,
         "supports_assistant_prefill": true,
         "supports_computer_use": true,
+        "supports_minimal_reasoning_effort": true,
         "supports_function_calling": true,
         "supports_prompt_caching": true,
         "supports_reasoning": true,
@@ -32384,6 +32411,7 @@
         "supports_assistant_prefill": true,
         "supports_computer_use": true,
         "supports_function_calling": true,
+        "supports_minimal_reasoning_effort": true,
         "supports_pdf_input": true,
         "supports_prompt_caching": true,
         "supports_reasoning": true,
@@ -32410,6 +32438,7 @@
         "supports_assistant_prefill": true,
         "supports_computer_use": true,
         "supports_function_calling": true,
+        "supports_minimal_reasoning_effort": true,
         "supports_pdf_input": true,
         "supports_prompt_caching": true,
         "supports_reasoning": true,
@@ -32576,6 +32605,7 @@
         "supports_prompt_caching": true,
         "supports_reasoning": true,
         "supports_response_schema": true,
+        "supports_max_reasoning_effort": true,
         "supports_tool_choice": true,
         "supports_vision": true,
         "tool_use_system_prompt_tokens": 346,
@@ -39587,6 +39617,7 @@
         "supports_prompt_caching": true,
         "supports_reasoning": true,
         "supports_response_schema": true,
+        "supports_max_reasoning_effort": true,
         "supports_tool_choice": true,
         "supports_vision": true,
         "tool_use_system_prompt_tokens": 346,
diff --git a/package-lock.json b/package-lock.json
index 9e1314debcc..c1c90370ddf 100644
--- a/package-lock.json
+++ b/package-lock.json
@@ -1,19 +1,19 @@
 {
-  "name": "litellm",
+  "name": "litellm-dependency-refresh",
   "lockfileVersion": 3,
   "requires": true,
   "packages": {
     "": {
       "dependencies": {
-        "prism-react-renderer": "^2.4.1",
-        "prisma": "^5.17.0",
-        "react-copy-to-clipboard": "^5.1.0"
+        "prism-react-renderer": "2.4.1",
+        "prisma": "5.17.0",
+        "react-copy-to-clipboard": "5.1.1"
       },
       "devDependencies": {
-        "@testing-library/jest-dom": "^6.8.0",
-        "@testing-library/react": "^14.3.1",
-        "@types/react-copy-to-clipboard": "^5.0.7",
-        "jest": "^29.7.0"
+        "@testing-library/jest-dom": "6.8.0",
+        "@testing-library/react": "14.3.1",
+        "@types/react-copy-to-clipboard": "5.0.7",
+        "jest": "29.7.0"
       }
     },
     "node_modules/@adobe/css-tools": {
@@ -529,29 +529,6 @@
       "dev": true,
       "license": "MIT"
     },
-    "node_modules/@isaacs/balanced-match": {
-      "version": "4.0.1",
-      "resolved": "https://registry.npmjs.org/@isaacs/balanced-match/-/balanced-match-4.0.1.tgz",
-      "integrity": "sha512-yzMTt9lEb8Gv7zRioUilSglI0c0smZ9k5D65677DLWLtWJaXIS3CqcGyUFByYKlnUj6TkjLVs54fBl6+TiGQDQ==",
-      "dev": true,
-      "license": "MIT",
-      "engines": {
-        "node": "20 || >=22"
-      }
-    },
-    "node_modules/@isaacs/brace-expansion": {
-      "version": "5.0.0",
-      "resolved": "https://registry.npmjs.org/@isaacs/brace-expansion/-/brace-expansion-5.0.0.tgz",
-      "integrity": "sha512-ZT55BDLV0yv0RBm2czMiZ+SqCGO7AvmOM3G/w2xhVPH+te0aKgFjmBvGlL1dH+ql2tgGO3MVrbb3jCKyvpgnxA==",
-      "dev": true,
-      "license": "MIT",
-      "dependencies": {
-        "@isaacs/balanced-match": "^4.0.1"
-      },
-      "engines": {
-        "node": "20 || >=22"
-      }
-    },
     "node_modules/@istanbuljs/load-nyc-config": {
       "version": "1.1.0",
       "resolved": "https://registry.npmjs.org/@istanbuljs/load-nyc-config/-/load-nyc-config-1.1.0.tgz",
@@ -957,48 +934,48 @@
       }
     },
     "node_modules/@prisma/debug": {
-      "version": "5.22.0",
-      "resolved": "https://registry.npmjs.org/@prisma/debug/-/debug-5.22.0.tgz",
-      "integrity": "sha512-AUt44v3YJeggO2ZU5BkXI7M4hu9BF2zzH2iF2V5pyXT/lRTyWiElZ7It+bRH1EshoMRxHgpYg4VB6rCM+mG5jQ==",
+      "version": "5.17.0",
+      "resolved": "https://registry.npmjs.org/@prisma/debug/-/debug-5.17.0.tgz",
+      "integrity": "sha512-l7+AteR3P8FXiYyo496zkuoiJ5r9jLQEdUuxIxNCN1ud8rdbH3GTxm+f+dCyaSv9l9WY+29L9czaVRXz9mULfg==",
       "license": "Apache-2.0"
     },
     "node_modules/@prisma/engines": {
-      "version": "5.22.0",
-      "resolved": "https://registry.npmjs.org/@prisma/engines/-/engines-5.22.0.tgz",
-      "integrity": "sha512-UNjfslWhAt06kVL3CjkuYpHAWSO6L4kDCVPegV6itt7nD1kSJavd3vhgAEhjglLJJKEdJ7oIqDJ+yHk6qO8gPA==",
+      "version": "5.17.0",
+      "resolved": "https://registry.npmjs.org/@prisma/engines/-/engines-5.17.0.tgz",
+      "integrity": "sha512-+r+Nf+JP210Jur+/X8SIPLtz+uW9YA4QO5IXA+KcSOBe/shT47bCcRMTYCbOESw3FFYFTwe7vU6KTWHKPiwvtg==",
       "hasInstallScript": true,
       "license": "Apache-2.0",
       "dependencies": {
-        "@prisma/debug": "5.22.0",
-        "@prisma/engines-version": "5.22.0-44.605197351a3c8bdd595af2d2a9bc3025bca48ea2",
-        "@prisma/fetch-engine": "5.22.0",
-        "@prisma/get-platform": "5.22.0"
+        "@prisma/debug": "5.17.0",
+        "@prisma/engines-version": "5.17.0-31.393aa359c9ad4a4bb28630fb5613f9c281cde053",
+        "@prisma/fetch-engine": "5.17.0",
+        "@prisma/get-platform": "5.17.0"
       }
     },
     "node_modules/@prisma/engines-version": {
-      "version": "5.22.0-44.605197351a3c8bdd595af2d2a9bc3025bca48ea2",
-      "resolved": "https://registry.npmjs.org/@prisma/engines-version/-/engines-version-5.22.0-44.605197351a3c8bdd595af2d2a9bc3025bca48ea2.tgz",
-      "integrity": "sha512-2PTmxFR2yHW/eB3uqWtcgRcgAbG1rwG9ZriSvQw+nnb7c4uCr3RAcGMb6/zfE88SKlC1Nj2ziUvc96Z379mHgQ==",
+      "version": "5.17.0-31.393aa359c9ad4a4bb28630fb5613f9c281cde053",
+      "resolved": "https://registry.npmjs.org/@prisma/engines-version/-/engines-version-5.17.0-31.393aa359c9ad4a4bb28630fb5613f9c281cde053.tgz",
+      "integrity": "sha512-tUuxZZysZDcrk5oaNOdrBnnkoTtmNQPkzINFDjz7eG6vcs9AVDmA/F6K5Plsb2aQc/l5M2EnFqn3htng9FA4hg==",
       "license": "Apache-2.0"
     },
     "node_modules/@prisma/fetch-engine": {
-      "version": "5.22.0",
-      "resolved": "https://registry.npmjs.org/@prisma/fetch-engine/-/fetch-engine-5.22.0.tgz",
-      "integrity": "sha512-bkrD/Mc2fSvkQBV5EpoFcZ87AvOgDxbG99488a5cexp5Ccny+UM6MAe/UFkUC0wLYD9+9befNOqGiIJhhq+HbA==",
+      "version": "5.17.0",
+      "resolved": "https://registry.npmjs.org/@prisma/fetch-engine/-/fetch-engine-5.17.0.tgz",
+      "integrity": "sha512-ESxiOaHuC488ilLPnrv/tM2KrPhQB5TRris/IeIV4ZvUuKeaicCl4Xj/JCQeG9IlxqOgf1cCg5h5vAzlewN91Q==",
       "license": "Apache-2.0",
       "dependencies": {
-        "@prisma/debug": "5.22.0",
-        "@prisma/engines-version": "5.22.0-44.605197351a3c8bdd595af2d2a9bc3025bca48ea2",
-        "@prisma/get-platform": "5.22.0"
+        "@prisma/debug": "5.17.0",
+        "@prisma/engines-version": "5.17.0-31.393aa359c9ad4a4bb28630fb5613f9c281cde053",
+        "@prisma/get-platform": "5.17.0"
       }
     },
     "node_modules/@prisma/get-platform": {
-      "version": "5.22.0",
-      "resolved": "https://registry.npmjs.org/@prisma/get-platform/-/get-platform-5.22.0.tgz",
-      "integrity": "sha512-pHhpQdr1UPFpt+zFfnPazhulaZYCUqeIcPpJViYoq9R+D/yw4fjE+CtnsnKzPYm0ddUbeXUzjGVGIRVgPDCk4Q==",
+      "version": "5.17.0",
+      "resolved": "https://registry.npmjs.org/@prisma/get-platform/-/get-platform-5.17.0.tgz",
+      "integrity": "sha512-UlDgbRozCP1rfJ5Tlkf3Cnftb6srGrEQ4Nm3og+1Se2gWmCZ0hmPIi+tQikGDUVLlvOWx3Gyi9LzgRP+HTXV9w==",
       "license": "Apache-2.0",
       "dependencies": {
-        "@prisma/debug": "5.22.0"
+        "@prisma/debug": "5.17.0"
       }
     },
     "node_modules/@sinclair/typebox": {
@@ -1066,9 +1043,9 @@
       "license": "MIT"
     },
     "node_modules/@testing-library/jest-dom": {
-      "version": "6.9.1",
-      "resolved": "https://registry.npmjs.org/@testing-library/jest-dom/-/jest-dom-6.9.1.tgz",
-      "integrity": "sha512-zIcONa+hVtVSSep9UT3jZ5rizo2BsxgyDYU7WFD5eICBE7no3881HGeb/QkGfsJs6JTkY1aQhT7rIPC7e+0nnA==",
+      "version": "6.8.0",
+      "resolved": "https://registry.npmjs.org/@testing-library/jest-dom/-/jest-dom-6.8.0.tgz",
+      "integrity": "sha512-WgXcWzVM6idy5JaftTVC8Vs83NKRmGJz4Hqs4oyOuO2J4r/y79vvKZsb+CaGyCSEbUPI6OsewfPd0G1A0/TUZQ==",
       "dev": true,
       "license": "MIT",
       "dependencies": {
@@ -1497,11 +1474,14 @@
       }
     },
     "node_modules/balanced-match": {
-      "version": "1.0.2",
-      "resolved": "https://registry.npmjs.org/balanced-match/-/balanced-match-1.0.2.tgz",
-      "integrity": "sha512-3oSeUO0TMV67hN1AmbXsK4yaqU7tjiHlbxRDZOpH0KW9+CeX4bRAaX0Anxt0tx2MrpRpWwQaPwIlISEJhYU5Pw==",
+      "version": "4.0.4",
+      "resolved": "https://registry.npmjs.org/balanced-match/-/balanced-match-4.0.4.tgz",
+      "integrity": "sha512-BLrgEcRTwX2o6gGxGOCNyMvGSp35YofuYzw9h1IMTRmKqttAZZVU67bdb9Pr2vUHA8+j3i2tJfjO6C6+4myGTA==",
       "dev": true,
-      "license": "MIT"
+      "license": "MIT",
+      "engines": {
+        "node": "18 || 20 || >=22"
+      }
     },
     "node_modules/baseline-browser-mapping": {
       "version": "2.8.30",
@@ -1514,14 +1494,16 @@
       }
     },
     "node_modules/brace-expansion": {
-      "version": "1.1.12",
-      "resolved": "https://registry.npmjs.org/brace-expansion/-/brace-expansion-1.1.12.tgz",
-      "integrity": "sha512-9T9UjW3r0UW5c1Q7GTwllptXwhvYmEzFhzMfZ9H7FQWt+uZePjZPjBP/W1ZEyZ1twGWom5/56TF4lPcqjnDHcg==",
+      "version": "5.0.5",
+      "resolved": "https://registry.npmjs.org/brace-expansion/-/brace-expansion-5.0.5.tgz",
+      "integrity": "sha512-VZznLgtwhn+Mact9tfiwx64fA9erHH/MCXEUfB/0bX/6Fz6ny5EGTXYltMocqg4xFAQZtnO3DHWWXi8RiuN7cQ==",
       "dev": true,
       "license": "MIT",
       "dependencies": {
-        "balanced-match": "^1.0.0",
-        "concat-map": "0.0.1"
+        "balanced-match": "^4.0.2"
+      },
+      "engines": {
+        "node": "18 || 20 || >=22"
       }
     },
     "node_modules/braces": {
@@ -1791,13 +1773,6 @@
       "dev": true,
       "license": "MIT"
     },
-    "node_modules/concat-map": {
-      "version": "0.0.1",
-      "resolved": "https://registry.npmjs.org/concat-map/-/concat-map-0.0.1.tgz",
-      "integrity": "sha512-/Srv4dswyQNBfohGpz9o6Yb3Gz3SrUDqBH5rTuhGR7ahtlbYKnVxw2bCFMRljaA7EXHaXZ8wsHdodFvbkhKmqg==",
-      "dev": true,
-      "license": "MIT"
-    },
     "node_modules/convert-source-map": {
       "version": "2.0.0",
       "resolved": "https://registry.npmjs.org/convert-source-map/-/convert-source-map-2.0.0.tgz",
@@ -2258,6 +2233,7 @@
       "version": "2.3.3",
       "resolved": "https://registry.npmjs.org/fsevents/-/fsevents-2.3.3.tgz",
       "integrity": "sha512-5xoDfX+fL7faATnagmWPpbFtwh/R77WmMMqqHGS65C3vvB0YHrgF+B1YmZ3441tMj5n63k0212XNoJwzlhffQw==",
+      "dev": true,
       "hasInstallScript": true,
       "license": "MIT",
       "optional": true,
@@ -4090,16 +4066,16 @@
       }
     },
     "node_modules/minimatch": {
-      "version": "10.1.1",
-      "resolved": "https://registry.npmjs.org/minimatch/-/minimatch-10.1.1.tgz",
-      "integrity": "sha512-enIvLvRAFZYXJzkCYG5RKmPfrFArdLv+R+lbQ53BmIMLIry74bjKzX6iHAm8WYamJkhSSEabrWN5D97XnKObjQ==",
+      "version": "10.2.5",
+      "resolved": "https://registry.npmjs.org/minimatch/-/minimatch-10.2.5.tgz",
+      "integrity": "sha512-MULkVLfKGYDFYejP07QOurDLLQpcjk7Fw+7jXS2R2czRQzR56yHRveU5NDJEOviH+hETZKSkIk5c+T23GjFUMg==",
       "dev": true,
       "license": "BlueOak-1.0.0",
       "dependencies": {
-        "@isaacs/brace-expansion": "^5.0.0"
+        "brace-expansion": "^5.0.5"
       },
       "engines": {
-        "node": "20 || >=22"
+        "node": "18 || 20 || >=22"
       },
       "funding": {
         "url": "https://github.com/sponsors/isaacs"
@@ -4388,9 +4364,9 @@
       "license": "ISC"
     },
     "node_modules/picomatch": {
-      "version": "2.3.1",
-      "resolved": "https://registry.npmjs.org/picomatch/-/picomatch-2.3.1.tgz",
-      "integrity": "sha512-JU3teHTNjmE2VCGFzuY8EXzCDVwEqB2a8fsIvwaStHhAWJEeVd1o1QD80CU6+ZdEXXSLbSsuLwJjkCBWqRQUVA==",
+      "version": "2.3.2",
+      "resolved": "https://registry.npmjs.org/picomatch/-/picomatch-2.3.2.tgz",
+      "integrity": "sha512-V7+vQEJ06Z+c5tSye8S+nHUfI51xoXIXjHQ99cQtKUkQqqO1kO/KCJUfZXuB47h/YBlDhah2H3hdUGXn8ie0oA==",
       "dev": true,
       "license": "MIT",
       "engines": {
@@ -4475,22 +4451,19 @@
       }
     },
     "node_modules/prisma": {
-      "version": "5.22.0",
-      "resolved": "https://registry.npmjs.org/prisma/-/prisma-5.22.0.tgz",
-      "integrity": "sha512-vtpjW3XuYCSnMsNVBjLMNkTj6OZbudcPPTPYHqX0CJfpcdWciI1dM8uHETwmDxxiqEwCIE6WvXucWUetJgfu/A==",
+      "version": "5.17.0",
+      "resolved": "https://registry.npmjs.org/prisma/-/prisma-5.17.0.tgz",
+      "integrity": "sha512-m4UWkN5lBE6yevqeOxEvmepnL5cNPEjzMw2IqDB59AcEV6w7D8vGljDLd1gPFH+W6gUxw9x7/RmN5dCS/WTPxA==",
       "hasInstallScript": true,
       "license": "Apache-2.0",
       "dependencies": {
-        "@prisma/engines": "5.22.0"
+        "@prisma/engines": "5.17.0"
       },
       "bin": {
         "prisma": "build/index.js"
       },
       "engines": {
         "node": ">=16.13"
-      },
-      "optionalDependencies": {
-        "fsevents": "2.3.3"
       }
     },
     "node_modules/prompts": {
@@ -4555,16 +4528,16 @@
       }
     },
     "node_modules/react-copy-to-clipboard": {
-      "version": "5.1.0",
-      "resolved": "https://registry.npmjs.org/react-copy-to-clipboard/-/react-copy-to-clipboard-5.1.0.tgz",
-      "integrity": "sha512-k61RsNgAayIJNoy9yDsYzDe/yAZAzEbEgcz3DZMhF686LEyukcE1hzurxe85JandPUG+yTfGVFzuEw3xt8WP/A==",
+      "version": "5.1.1",
+      "resolved": "https://registry.npmjs.org/react-copy-to-clipboard/-/react-copy-to-clipboard-5.1.1.tgz",
+      "integrity": "sha512-s+HrzLyJBxrpGTYXF15dTgMjAJpEPZT/Yp6NytAtZMRngejxt6Pt5WrfFxLAcsqUDU6sY1Jz6tyHwIicE1U2Xg==",
       "license": "MIT",
       "dependencies": {
-        "copy-to-clipboard": "^3.3.1",
+        "copy-to-clipboard": "^3.3.3",
         "prop-types": "^15.8.1"
       },
       "peerDependencies": {
-        "react": "^15.3.0 || 16 || 17 || 18"
+        "react": ">=15.3.0"
       }
     },
     "node_modules/react-dom": {
@@ -5068,19 +5041,6 @@
         "node": ">=8"
       }
     },
-    "node_modules/test-exclude/node_modules/minimatch": {
-      "version": "3.1.2",
-      "resolved": "https://registry.npmjs.org/minimatch/-/minimatch-3.1.2.tgz",
-      "integrity": "sha512-J7p63hRiAjw1NDEww1W7i37+ByIrOWO5XQQAzZ3VOcL0PNybwpfmV/N05zFAzwQ9USyEcX6t3UO+K5aqBQOIHw==",
-      "dev": true,
-      "license": "ISC",
-      "dependencies": {
-        "brace-expansion": "^1.1.7"
-      },
-      "engines": {
-        "node": "*"
-      }
-    },
     "node_modules/tmpl": {
       "version": "1.0.5",
       "resolved": "https://registry.npmjs.org/tmpl/-/tmpl-1.0.5.tgz",
diff --git a/package.json b/package.json
index 84e6e51f86b..be91e4170ab 100644
--- a/package.json
+++ b/package.json
@@ -2,7 +2,7 @@
   "dependencies": {
     "prism-react-renderer": "2.4.1",
     "prisma": "5.17.0",
-    "react-copy-to-clipboard": "5.1.0"
+    "react-copy-to-clipboard": "5.1.1"
   },
   "devDependencies": {
     "@testing-library/jest-dom": "6.8.0",
@@ -12,7 +12,8 @@
   },
   "overrides": {
     "glob": "13.0.0",
-    "minimatch": "10.1.1",
+    "minimatch": "10.2.5",
+    "picomatch": "2.3.2",
     "@isaacs/brace-expansion": "5.0.0",
     "@babel/traverse": "7.28.5",
     "braces": "3.0.3"
diff --git a/pyproject.toml b/pyproject.toml
index 65b9bd2c983..48acf8d8712 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -12,11 +12,11 @@ authors = [
 dependencies = [
     "fastuuid==0.14.0",
     "httpx==0.28.1",
-    "openai==2.24.0",
+    "openai==2.33.0",
     "python-dotenv==1.2.2",
     "tiktoken==0.12.0",
     "importlib-metadata==8.5.0",
-    "tokenizers==0.22.2",
+    "tokenizers==0.23.1",
     "click==8.1.8",
     "jinja2==3.1.6",
     "aiohttp==3.13.4",
@@ -44,11 +44,11 @@ proxy = [
     "apscheduler==3.11.2",
     "fastapi-sso==0.19.0",
     "PyJWT==2.12.0",
-    "python-multipart==0.0.26",
+    "python-multipart==0.0.27",
     "cryptography==46.0.7",
     "pynacl==1.6.2",
     "websockets==15.0.1",
-    "boto3==1.42.59",
+    "boto3==1.43.1",
     "azure-identity==1.25.2",
     "azure-storage-blob==12.28.0",
     "mcp==1.26.0",
@@ -120,9 +120,9 @@ dev = [
     "flake8==7.3.0",
     "black==24.10.0",
     "mypy==1.19.0",
-    "pytest==8.3.5",
+    "pytest==9.0.3",
     "pytest-mock==3.15.1",
-    "pytest-asyncio==1.2.0",
+    "pytest-asyncio==1.3.0",
     "pytest-postgresql==7.0.2",
     # pytest-postgresql imports psycopg v3 during pytest startup. Keep the base
     # package and the binary wheel in the default dev environment so local
@@ -191,7 +191,7 @@ ci = [
     "pylint==4.0.5",
     "pyright==1.1.408",
     "langchain-mcp-adapters==0.2.1",
-    "langchain-openai==1.1.10",
+    "langchain-openai==1.1.14",
     "langgraph==1.0.10",
     # langgraph-prebuilt 1.0.9 imports ExecutionInfo/ServerInfo from
     # langgraph.runtime, which is not exported until langgraph 1.1.0.
@@ -205,7 +205,7 @@ healthcheck = [
 ]
 
 [build-system]
-requires = ["uv_build==0.10.7"]
+requires = ["uv_build==0.11.8"]
 build-backend = "uv_build"
 
 [tool.uv]
diff --git a/schema.prisma b/schema.prisma
index a9d3911c07b..84ce99557e3 100644
--- a/schema.prisma
+++ b/schema.prisma
@@ -884,28 +884,32 @@ model LiteLLM_ManagedFileTable {
   storage_backend String? // Storage backend name (e.g., "azure_storage", "gcs", "default")
   storage_url String? // The actual storage URL where the file is stored
   created_at DateTime @default(now())
-  created_by String? 
+  created_by String?
+  team_id String? // Team that owns the resource; populated for service-account keys without a user_id so listings can isolate by team.
   updated_at DateTime @updatedAt
   updated_by String?
 
   @@index([unified_file_id])
+  @@index([team_id, created_at(sort: Desc)])
 }
 
-model LiteLLM_ManagedObjectTable { // for batches or finetuning jobs which use the 
+model LiteLLM_ManagedObjectTable { // for batches or finetuning jobs which use the
   id String @id @default(uuid())
   unified_object_id String @unique // The base64 encoded unified file ID
-  model_object_id String @unique // the id returned by the backend API provider 
+  model_object_id String @unique // the id returned by the backend API provider
   file_object Json // Stores the OpenAIFileObject
   file_purpose String // either 'batch' or 'fine-tune'
-  status String? // check if batch cost has been tracked  
+  status String? // check if batch cost has been tracked
   batch_processed Boolean @default(false) // set to true by CheckBatchCost after cost is computed
   created_at DateTime @default(now())
   created_by String?
+  team_id String?
   updated_at DateTime @updatedAt
-  updated_by String? 
+  updated_by String?
 
   @@index([unified_object_id])
   @@index([model_object_id])
+  @@index([team_id, created_at(sort: Desc)])
 }
 
 model LiteLLM_ManagedVectorStoreTable {
@@ -918,10 +922,12 @@ model LiteLLM_ManagedVectorStoreTable {
   storage_url String? // Storage URL (if applicable)
   created_at DateTime @default(now())
   created_by String?
+  team_id String?
   updated_at DateTime @updatedAt
   updated_by String?
 
   @@index([unified_resource_id])
+  @@index([team_id, created_at(sort: Desc)])
 }
 
 model LiteLLM_ManagedVectorStoresTable {
diff --git a/tests/batches_tests/test_openai_batches_and_files.py b/tests/batches_tests/test_openai_batches_and_files.py
index a64f208b3f1..2e89381cba9 100644
--- a/tests/batches_tests/test_openai_batches_and_files.py
+++ b/tests/batches_tests/test_openai_batches_and_files.py
@@ -559,6 +559,7 @@ async def test_avertex_batch_prediction(monkeypatch):
             mock_get_response.status_code = 200
             mock_get_response.is_redirect = False
             mock_get_response.raise_for_status.return_value = None
+            mock_get_response.is_redirect = False
             mock_get.return_value = mock_get_response
 
             retrieved_batch = await litellm.aretrieve_batch(
@@ -591,6 +592,7 @@ async def test_vertex_list_batches(monkeypatch):
         mock_get_response.json.return_value = mock_vertex_list_response
         mock_get_response.status_code = 200
         mock_get_response.raise_for_status.return_value = None
+        mock_get_response.is_redirect = False
         mock_get.return_value = mock_get_response
 
         list_response = await litellm.alist_batches(
diff --git a/tests/code_coverage_tests/liccheck.ini b/tests/code_coverage_tests/liccheck.ini
index 344e38da835..2100aa1377f 100644
--- a/tests/code_coverage_tests/liccheck.ini
+++ b/tests/code_coverage_tests/liccheck.ini
@@ -150,6 +150,7 @@ jaraco.context: >=6.1.0 # Unknown license
 pypdf: >=6.6.2 # BSD-3-Clause license - https://github.com/py-pdf/pypdf/blob/main/LICENSE
 hf-xet: >=1.4.2 # Apache 2.0 License - https://github.com/huggingface/xet-tools/blob/main/LICENSE
 pytest-asyncio: >=1.2.0 # Apache 2.0 license
+pytest: >=9.0.3 # MIT license
 pytest-postgresql: >=7.0.2 # LGPLv3+ license
 pytest-xdist: >=3.8.0 # MIT License
 ruff: >=0.15.3 # MIT License
diff --git a/tests/enterprise/litellm_enterprise/enterprise_callbacks/test_prometheus_logging_callbacks.py b/tests/enterprise/litellm_enterprise/enterprise_callbacks/test_prometheus_logging_callbacks.py
index d3f7d882da8..9f879b9d501 100644
--- a/tests/enterprise/litellm_enterprise/enterprise_callbacks/test_prometheus_logging_callbacks.py
+++ b/tests/enterprise/litellm_enterprise/enterprise_callbacks/test_prometheus_logging_callbacks.py
@@ -289,11 +289,10 @@ async def test_increment_remaining_budget_metrics(prometheus_logger):
     future_reset_time_team = datetime.now() + timedelta(hours=10)
     future_reset_time_key = datetime.now() + timedelta(hours=12)
     # Mock the get_team_object and get_key_object functions to return objects with budget reset times
-    with patch(
-        "litellm.proxy.auth.auth_checks.get_team_object"
-    ) as mock_get_team, patch(
-        "litellm.proxy.auth.auth_checks.get_key_object"
-    ) as mock_get_key:
+    with (
+        patch("litellm.proxy.auth.auth_checks.get_team_object") as mock_get_team,
+        patch("litellm.proxy.auth.auth_checks.get_key_object") as mock_get_key,
+    ):
         mock_get_team.return_value = MagicMock(budget_reset_at=future_reset_time_team)
         mock_get_key.return_value = MagicMock(budget_reset_at=future_reset_time_key)
 
@@ -732,6 +731,51 @@ async def test_async_log_failure_event(prometheus_logger):
     prometheus_logger.litellm_deployment_total_requests.labels().inc.assert_called_once()
 
 
+@pytest.mark.asyncio
+async def test_async_log_failure_event_litellm_side_rate_limit(prometheus_logger):
+    """LiteLLM-side reject (no deployment picked) routes the requested model
+    into `requested_model` and skips the partial-outage flag."""
+    standard_logging_object = create_standard_logging_payload()
+    standard_logging_object["model_id"] = ""
+    standard_logging_object["model_group"] = ""
+    standard_logging_object["api_base"] = ""
+
+    rate_limit_exc = Exception("LiteLLM rate limit exceeded")
+    rate_limit_exc.status_code = 429
+    kwargs = {
+        "model": "us/azure/openai/gpt-5-mini",
+        "litellm_params": {},
+        "start_time": datetime.now(),
+        "completion_start_time": datetime.now(),
+        "api_call_start_time": datetime.now(),
+        "end_time": datetime.now() + timedelta(seconds=1),
+        "standard_logging_object": standard_logging_object,
+        "exception": rate_limit_exc,
+    }
+
+    prometheus_logger.litellm_llm_api_failed_requests_metric = MagicMock()
+    prometheus_logger.litellm_deployment_failure_responses = MagicMock()
+    prometheus_logger.litellm_deployment_total_requests = MagicMock()
+    prometheus_logger.set_deployment_partial_outage = MagicMock()
+
+    await prometheus_logger.async_log_failure_event(
+        kwargs, MagicMock(), kwargs["start_time"], kwargs["end_time"]
+    )
+
+    prometheus_logger.set_deployment_partial_outage.assert_not_called()
+
+    prometheus_logger.litellm_deployment_failure_responses.labels.assert_called_once()
+    actual_failure_labels = (
+        prometheus_logger.litellm_deployment_failure_responses.labels.call_args.kwargs
+    )
+    assert actual_failure_labels["requested_model"] == "us/azure/openai/gpt-5-mini"
+    assert actual_failure_labels["litellm_model_name"] == ""
+    assert actual_failure_labels["model_id"] == ""
+    assert actual_failure_labels["api_base"] == ""
+    assert actual_failure_labels["api_provider"] == ""
+    assert actual_failure_labels["exception_status"] == "429"
+
+
 @pytest.mark.asyncio
 async def test_async_post_call_failure_hook(prometheus_logger):
     """
@@ -1518,9 +1562,12 @@ async def test_initialize_remaining_budget_metrics(prometheus_logger):
     """
     litellm.prometheus_initialize_budget_metrics = True
     # Mock the prisma client and get_paginated_teams function
-    with patch("litellm.proxy.proxy_server.prisma_client") as mock_prisma, patch(
-        "litellm.proxy.management_endpoints.team_endpoints.get_paginated_teams"
-    ) as mock_get_teams:
+    with (
+        patch("litellm.proxy.proxy_server.prisma_client") as mock_prisma,
+        patch(
+            "litellm.proxy.management_endpoints.team_endpoints.get_paginated_teams"
+        ) as mock_get_teams,
+    ):
         # Create mock team data with proper datetime objects for budget_reset_at
         future_reset = datetime.now() + timedelta(hours=24)  # Reset 24 hours from now
         mock_teams = [
@@ -1613,11 +1660,15 @@ async def test_initialize_remaining_budget_metrics_exception_handling(
     """
     litellm.prometheus_initialize_budget_metrics = True
     # Mock the prisma client and get_paginated_teams function to raise an exception
-    with patch("litellm.proxy.proxy_server.prisma_client") as mock_prisma, patch(
-        "litellm.proxy.management_endpoints.team_endpoints.get_paginated_teams"
-    ) as mock_get_teams, patch(
-        "litellm.proxy.management_endpoints.key_management_endpoints._list_key_helper"
-    ) as mock_list_keys:
+    with (
+        patch("litellm.proxy.proxy_server.prisma_client") as mock_prisma,
+        patch(
+            "litellm.proxy.management_endpoints.team_endpoints.get_paginated_teams"
+        ) as mock_get_teams,
+        patch(
+            "litellm.proxy.management_endpoints.key_management_endpoints._list_key_helper"
+        ) as mock_list_keys,
+    ):
         # Make get_paginated_teams raise an exception
         mock_get_teams.side_effect = Exception("Database error")
         mock_list_keys.side_effect = Exception("Key listing error")
@@ -1636,9 +1687,7 @@ async def test_initialize_remaining_budget_metrics_exception_handling(
 
         # Mock litellm_organizationtable to raise an exception for org budget metrics
         mock_orgtable = MagicMock()
-        mock_orgtable.find_many = MagicMock(
-            side_effect=Exception("Org database error")
-        )
+        mock_orgtable.find_many = MagicMock(side_effect=Exception("Org database error"))
         mock_orgtable.count = MagicMock(side_effect=Exception("Org count error"))
 
         mock_db = MagicMock()
@@ -1699,9 +1748,12 @@ async def test_initialize_api_key_budget_metrics(prometheus_logger):
     """
     litellm.prometheus_initialize_budget_metrics = True
     # Mock the prisma client and _list_key_helper function
-    with patch("litellm.proxy.proxy_server.prisma_client") as mock_prisma, patch(
-        "litellm.proxy.management_endpoints.key_management_endpoints._list_key_helper"
-    ) as mock_list_keys:
+    with (
+        patch("litellm.proxy.proxy_server.prisma_client") as mock_prisma,
+        patch(
+            "litellm.proxy.management_endpoints.key_management_endpoints._list_key_helper"
+        ) as mock_list_keys,
+    ):
         # Create mock key data with proper datetime objects for budget_reset_at
         future_reset = datetime.now() + timedelta(hours=24)  # Reset 24 hours from now
         key1 = UserAPIKeyAuth(
diff --git a/tests/guardrails_tests/test_semantic_guard.py b/tests/guardrails_tests/test_semantic_guard.py
index 44d8e417f5e..a7e6230d029 100644
--- a/tests/guardrails_tests/test_semantic_guard.py
+++ b/tests/guardrails_tests/test_semantic_guard.py
@@ -171,6 +171,25 @@ class TestHelperFunctions:
         mock_response.choices[0].message.content = "Hello from LLM"
         assert _extract_response_text(mock_response) == "Hello from LLM"
 
+    def test_extract_response_text_combines_all_choices(self):
+        from litellm.proxy.guardrails.guardrail_hooks.semantic_guard.semantic_guard import (
+            _extract_response_text,
+        )
+
+        first_choice = MagicMock()
+        first_choice.message.content = "first response"
+        second_choice = MagicMock()
+        second_choice.message.content = [
+            {"type": "text", "text": "second"},
+            {"type": "text", "text": "response"},
+        ]
+        mock_response = MagicMock()
+        mock_response.choices = [first_choice, second_choice]
+
+        assert (
+            _extract_response_text(mock_response) == "first response\nsecond response"
+        )
+
     def test_extract_response_text_empty(self):
         from litellm.proxy.guardrails.guardrail_hooks.semantic_guard.semantic_guard import (
             _extract_response_text,
diff --git a/tests/litellm/proxy/test_model_based_routing_files_batches.py b/tests/litellm/proxy/test_model_based_routing_files_batches.py
index 94e2c4603bc..f9bc07212a2 100644
--- a/tests/litellm/proxy/test_model_based_routing_files_batches.py
+++ b/tests/litellm/proxy/test_model_based_routing_files_batches.py
@@ -6,10 +6,13 @@ Tests the model-based routing ID encoding/decoding used by the batch
 and file proxy endpoints.
 """
 
+from types import MappingProxyType
+
 from litellm.proxy.openai_files_endpoints.common_utils import (
     decode_model_from_file_id,
     encode_file_id_with_model,
     get_original_file_id,
+    prepare_data_with_credentials,
 )
 
 
@@ -50,6 +53,42 @@ class TestEncodeFileIdWithModel:
         assert result.startswith("file-")
 
 
+class TestPrepareDataWithCredentials:
+    def test_preserves_trusted_internal_credentials_snapshot(self):
+        data = {"file_id": "file-abc"}
+        credentials = {
+            "custom_llm_provider": "bedrock",
+            "s3_bucket_name": "safe-bucket",
+        }
+
+        prepare_data_with_credentials(
+            data=data,
+            credentials=credentials,
+            include_internal_credentials=True,
+        )
+
+        assert data["s3_bucket_name"] == "safe-bucket"
+        assert "custom_llm_provider" not in data
+        assert isinstance(
+            data["_litellm_internal_model_credentials"], type(MappingProxyType({}))
+        )
+        assert (
+            data["_litellm_internal_model_credentials"]["s3_bucket_name"]
+            == "safe-bucket"
+        )
+
+    def test_does_not_add_internal_credentials_by_default(self):
+        data = {"file_id": "file-abc"}
+        credentials = {
+            "custom_llm_provider": "bedrock",
+            "s3_bucket_name": "safe-bucket",
+        }
+
+        prepare_data_with_credentials(data=data, credentials=credentials)
+
+        assert "_litellm_internal_model_credentials" not in data
+
+
 class TestRoundTrip:
     """Tests for encode -> decode round-trip integrity."""
 
diff --git a/tests/llm_responses_api_testing/test_anthropic_responses_api.py b/tests/llm_responses_api_testing/test_anthropic_responses_api.py
index 575e1af21a3..6537f67acb9 100644
--- a/tests/llm_responses_api_testing/test_anthropic_responses_api.py
+++ b/tests/llm_responses_api_testing/test_anthropic_responses_api.py
@@ -89,7 +89,7 @@ def test_multiturn_tool_calls():
                 "type": "message",
             }
         ],
-        model="anthropic/claude-4-sonnet-20250514",
+        model="anthropic/claude-haiku-4-5-20251001",
         instructions="You are a helpful coding assistant.",
         tools=[shell_tool],
     )
@@ -115,7 +115,7 @@ def test_multiturn_tool_calls():
 
     # Use await with asyncio.run for the async function
     follow_up_response = litellm.responses(
-        model="anthropic/claude-4-sonnet-20250514",
+        model="anthropic/claude-haiku-4-5-20251001",
         previous_response_id=response_id,
         input=[
             {
diff --git a/tests/local_testing/test_router_debug_logs.py b/tests/local_testing/test_router_debug_logs.py
index 0b4771b5267..f1c7e9d722e 100644
--- a/tests/local_testing/test_router_debug_logs.py
+++ b/tests/local_testing/test_router_debug_logs.py
@@ -18,6 +18,7 @@ from litellm import Router
 
 # this tests debug logs from litellm router and litellm proxy server
 from litellm._logging import verbose_logger, verbose_proxy_logger, verbose_router_logger
+from litellm.llms.custom_httpx.async_client_cleanup import close_litellm_async_clients
 
 
 # this tests debug logs from litellm router and litellm proxy server
@@ -74,6 +75,9 @@ def test_async_fallbacks(caplog):
             pytest.fail(f"An exception occurred: {e}")
         finally:
             router.reset()
+            # Close cached aiohttp/httpx clients before the event loop ends
+            # to prevent "Unclosed client session" / "Unclosed connector" warnings.
+            await close_litellm_async_clients()
 
     asyncio.run(_make_request())
     captured_logs = [rec.message for rec in caplog.records]
diff --git a/tests/local_testing/test_streaming.py b/tests/local_testing/test_streaming.py
index 7fe42ed5461..b1a93c380b2 100644
--- a/tests/local_testing/test_streaming.py
+++ b/tests/local_testing/test_streaming.py
@@ -3640,7 +3640,7 @@ def test_mock_response_iterator_tool_use():
     [
         # "deepseek/deepseek-reasoner",
         # "anthropic/claude-3-7-sonnet-20250219",
-        "openrouter/anthropic/claude-3.7-sonnet",
+        "openrouter/anthropic/claude-sonnet-4.5",
     ],
 )
 def test_reasoning_content_completion(model):
diff --git a/tests/pass_through_tests/package-lock.json b/tests/pass_through_tests/package-lock.json
index f1d70e37c68..8aa33340b16 100644
--- a/tests/pass_through_tests/package-lock.json
+++ b/tests/pass_through_tests/package-lock.json
@@ -8,8 +8,8 @@
       "name": "litellm-pass-through-tests",
       "version": "0.0.0",
       "dependencies": {
-        "@google-cloud/vertexai": "1.9.3",
-        "@google/generative-ai": "0.21.0"
+        "@google-cloud/vertexai": "1.12.0",
+        "@google/generative-ai": "0.24.1"
       },
       "devDependencies": {
         "jest": "29.7.0"
@@ -512,21 +512,46 @@
       "license": "MIT"
     },
     "node_modules/@google-cloud/vertexai": {
-      "version": "1.9.3",
-      "resolved": "https://registry.npmjs.org/@google-cloud/vertexai/-/vertexai-1.9.3.tgz",
-      "integrity": "sha512-35o5tIEMLW3JeFJOaaMNR2e5sq+6rpnhrF97PuAxeOm0GlqVTESKhkGj7a5B5mmJSSSU3hUfIhcQCRRsw4Ipzg==",
+      "version": "1.12.0",
+      "resolved": "https://registry.npmjs.org/@google-cloud/vertexai/-/vertexai-1.12.0.tgz",
+      "integrity": "sha512-XMJIk7GIeavFLP5A3YEUlowKa5Y5PZRrnnuTJcqR0k+lFKkv7+IWpdRp+Xbqb8xNDrvQaE2hP2RYPUylyD5EdA==",
       "license": "Apache-2.0",
       "dependencies": {
+        "@google/genai": "^1.45.0",
         "google-auth-library": "^9.1.0"
       },
       "engines": {
         "node": ">=18.0.0"
       }
     },
+    "node_modules/@google/genai": {
+      "version": "1.51.0",
+      "resolved": "https://registry.npmjs.org/@google/genai/-/genai-1.51.0.tgz",
+      "integrity": "sha512-vTZZF3CSimN7cn2zsLpW2p5WF0eZa5Gz69ITMPCNHpPrDlAstOfGifSfi0p/s9Z9400f7xJRkgvkQNrcM7pJ6w==",
+      "hasInstallScript": true,
+      "license": "Apache-2.0",
+      "dependencies": {
+        "google-auth-library": "^10.3.0",
+        "p-retry": "^4.6.2",
+        "protobufjs": "^7.5.4",
+        "ws": "^8.18.0"
+      },
+      "engines": {
+        "node": ">=20.0.0"
+      },
+      "peerDependencies": {
+        "@modelcontextprotocol/sdk": "^1.25.2"
+      },
+      "peerDependenciesMeta": {
+        "@modelcontextprotocol/sdk": {
+          "optional": true
+        }
+      }
+    },
     "node_modules/@google/generative-ai": {
-      "version": "0.21.0",
-      "resolved": "https://registry.npmjs.org/@google/generative-ai/-/generative-ai-0.21.0.tgz",
-      "integrity": "sha512-7XhUbtnlkSEZK15kN3t+tzIMxsbKm/dSkKBFalj+20NvPKe1kBY7mR2P7vuijEn+f06z5+A8bVGKO0v39cr6Wg==",
+      "version": "0.24.1",
+      "resolved": "https://registry.npmjs.org/@google/generative-ai/-/generative-ai-0.24.1.tgz",
+      "integrity": "sha512-MqO+MLfM6kjxcKoy0p1wRzG3b4ZZXtPI+z2IE26UogS2Cm/XHO+7gGRBh6gcJsOiIVoH93UwKvW4HdgiOZCy9Q==",
       "license": "Apache-2.0",
       "engines": {
         "node": ">=18.0.0"
@@ -901,6 +926,70 @@
         "@jridgewell/sourcemap-codec": "^1.4.14"
       }
     },
+    "node_modules/@protobufjs/aspromise": {
+      "version": "1.1.2",
+      "resolved": "https://registry.npmjs.org/@protobufjs/aspromise/-/aspromise-1.1.2.tgz",
+      "integrity": "sha512-j+gKExEuLmKwvz3OgROXtrJ2UG2x8Ch2YZUxahh+s1F2HZ+wAceUNLkvy6zKCPVRkU++ZWQrdxsUeQXmcg4uoQ==",
+      "license": "BSD-3-Clause"
+    },
+    "node_modules/@protobufjs/base64": {
+      "version": "1.1.2",
+      "resolved": "https://registry.npmjs.org/@protobufjs/base64/-/base64-1.1.2.tgz",
+      "integrity": "sha512-AZkcAA5vnN/v4PDqKyMR5lx7hZttPDgClv83E//FMNhR2TMcLUhfRUBHCmSl0oi9zMgDDqRUJkSxO3wm85+XLg==",
+      "license": "BSD-3-Clause"
+    },
+    "node_modules/@protobufjs/codegen": {
+      "version": "2.0.5",
+      "resolved": "https://registry.npmjs.org/@protobufjs/codegen/-/codegen-2.0.5.tgz",
+      "integrity": "sha512-zgXFLzW3Ap33e6d0Wlj4MGIm6Ce8O89n/apUaGNB/jx+hw+ruWEp7EwGUshdLKVRCxZW12fp9r40E1mQrf/34g==",
+      "license": "BSD-3-Clause"
+    },
+    "node_modules/@protobufjs/eventemitter": {
+      "version": "1.1.0",
+      "resolved": "https://registry.npmjs.org/@protobufjs/eventemitter/-/eventemitter-1.1.0.tgz",
+      "integrity": "sha512-j9ednRT81vYJ9OfVuXG6ERSTdEL1xVsNgqpkxMsbIabzSo3goCjDIveeGv5d03om39ML71RdmrGNjG5SReBP/Q==",
+      "license": "BSD-3-Clause"
+    },
+    "node_modules/@protobufjs/fetch": {
+      "version": "1.1.0",
+      "resolved": "https://registry.npmjs.org/@protobufjs/fetch/-/fetch-1.1.0.tgz",
+      "integrity": "sha512-lljVXpqXebpsijW71PZaCYeIcE5on1w5DlQy5WH6GLbFryLUrBD4932W/E2BSpfRJWseIL4v/KPgBFxDOIdKpQ==",
+      "license": "BSD-3-Clause",
+      "dependencies": {
+        "@protobufjs/aspromise": "^1.1.1",
+        "@protobufjs/inquire": "^1.1.0"
+      }
+    },
+    "node_modules/@protobufjs/float": {
+      "version": "1.0.2",
+      "resolved": "https://registry.npmjs.org/@protobufjs/float/-/float-1.0.2.tgz",
+      "integrity": "sha512-Ddb+kVXlXst9d+R9PfTIxh1EdNkgoRe5tOX6t01f1lYWOvJnSPDBlG241QLzcyPdoNTsblLUdujGSE4RzrTZGQ==",
+      "license": "BSD-3-Clause"
+    },
+    "node_modules/@protobufjs/inquire": {
+      "version": "1.1.1",
+      "resolved": "https://registry.npmjs.org/@protobufjs/inquire/-/inquire-1.1.1.tgz",
+      "integrity": "sha512-mnzgDV26ueAvk7rsbt9L7bE0SuAoqyuys/sMMrmVcN5x9VsxpcG3rqAUSgDyLp0UZlmNfIbQ4fHfCtreVBk8Ew==",
+      "license": "BSD-3-Clause"
+    },
+    "node_modules/@protobufjs/path": {
+      "version": "1.1.2",
+      "resolved": "https://registry.npmjs.org/@protobufjs/path/-/path-1.1.2.tgz",
+      "integrity": "sha512-6JOcJ5Tm08dOHAbdR3GrvP+yUUfkjG5ePsHYczMFLq3ZmMkAD98cDgcT2iA1lJ9NVwFd4tH/iSSoe44YWkltEA==",
+      "license": "BSD-3-Clause"
+    },
+    "node_modules/@protobufjs/pool": {
+      "version": "1.1.0",
+      "resolved": "https://registry.npmjs.org/@protobufjs/pool/-/pool-1.1.0.tgz",
+      "integrity": "sha512-0kELaGSIDBKvcgS4zkjz1PeddatrjYcmMWOlAuAPwAeccUrPHdUqo/J6LiymHHEiJT5NrF1UVwxY14f+fy4WQw==",
+      "license": "BSD-3-Clause"
+    },
+    "node_modules/@protobufjs/utf8": {
+      "version": "1.1.1",
+      "resolved": "https://registry.npmjs.org/@protobufjs/utf8/-/utf8-1.1.1.tgz",
+      "integrity": "sha512-oOAWABowe8EAbMyWKM0tYDKi8Yaox52D+HWZhAIJqQXbqe0xI/GV7FhLWqlEKreMkfDjshR5FKgi3mnle0h6Eg==",
+      "license": "BSD-3-Clause"
+    },
     "node_modules/@sinclair/typebox": {
       "version": "0.27.10",
       "resolved": "https://registry.npmjs.org/@sinclair/typebox/-/typebox-0.27.10.tgz",
@@ -1014,12 +1103,17 @@
       "version": "25.6.0",
       "resolved": "https://registry.npmjs.org/@types/node/-/node-25.6.0.tgz",
       "integrity": "sha512-+qIYRKdNYJwY3vRCZMdJbPLJAtGjQBudzZzdzwQYkEPQd+PJGixUL5QfvCLDaULoLv+RhT3LDkwEfKaAkgSmNQ==",
-      "dev": true,
       "license": "MIT",
       "dependencies": {
         "undici-types": "~7.19.0"
       }
     },
+    "node_modules/@types/retry": {
+      "version": "0.12.0",
+      "resolved": "https://registry.npmjs.org/@types/retry/-/retry-0.12.0.tgz",
+      "integrity": "sha512-wWKOClTTiizcZhXnPY4wikVAwmdYHp8q6DmC+EJUzAMsycb7HB32Kh9RN4+0gExjmPmZSAQjgURXIGATPegAvA==",
+      "license": "MIT"
+    },
     "node_modules/@types/stack-utils": {
       "version": "2.0.3",
       "resolved": "https://registry.npmjs.org/@types/stack-utils/-/stack-utils-2.0.3.tgz",
@@ -1560,6 +1654,15 @@
         "node": ">= 8"
       }
     },
+    "node_modules/data-uri-to-buffer": {
+      "version": "4.0.1",
+      "resolved": "https://registry.npmjs.org/data-uri-to-buffer/-/data-uri-to-buffer-4.0.1.tgz",
+      "integrity": "sha512-0R9ikRb668HB7QDxT1vkpuUBtqc53YyAwMwGeUFKRojY/NWKvdZ+9UYtRfGmhqNbRkTSVpMbmyhXipFFv2cb/A==",
+      "license": "MIT",
+      "engines": {
+        "node": ">= 12"
+      }
+    },
     "node_modules/debug": {
       "version": "4.4.3",
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@@ -1785,6 +1888,29 @@
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+      "funding": [
+        {
+          "type": "github",
+          "url": "https://github.com/sponsors/jimmywarting"
+        },
+        {
+          "type": "paypal",
+          "url": "https://paypal.me/jimmywarting"
+        }
+      ],
+      "license": "MIT",
+      "dependencies": {
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+        "web-streams-polyfill": "^3.0.3"
+      },
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@@ -1812,6 +1938,18 @@
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+      "resolved": "https://registry.npmjs.org/formdata-polyfill/-/formdata-polyfill-4.0.10.tgz",
+      "integrity": "sha512-buewHzMvYL29jdeQTVILecSaZKnt/RJWjoZCF5OW60Z67/GmSLBkOFM7qh1PI3zFNtJbaZL5eQu1vLfazOwj4g==",
+      "license": "MIT",
+      "dependencies": {
+        "fetch-blob": "^3.1.2"
+      },
+      "engines": {
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+      "version": "7.1.4",
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-        "is-stream": "^2.0.0",
-        "node-fetch": "^2.6.9",
-        "uuid": "^9.0.1"
+        "node-fetch": "^3.3.2"
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-        "node": ">=14"
+        "node": ">=18"
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+      "version": "8.1.2",
+      "resolved": "https://registry.npmjs.org/gcp-metadata/-/gcp-metadata-8.1.2.tgz",
+      "integrity": "sha512-zV/5HKTfCeKWnxG0Dmrw51hEWFGfcF2xiXqcA3+J90WDuP0SvoiSO5ORvcBsifmx/FoIjgQN3oNOGaQ5PhLFkg==",
       "license": "Apache-2.0",
       "dependencies": {
-        "gaxios": "^6.1.1",
-        "google-logging-utils": "^0.0.2",
+        "gaxios": "^7.0.0",
+        "google-logging-utils": "^1.0.0",
         "json-bigint": "^1.0.0"
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-        "node": ">=14"
+        "node": ">=18"
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@@ -1940,26 +2076,26 @@
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+      "version": "10.6.2",
+      "resolved": "https://registry.npmjs.org/google-auth-library/-/google-auth-library-10.6.2.tgz",
+      "integrity": "sha512-e27Z6EThmVNNvtYASwQxose/G57rkRuaRbQyxM2bvYLLX/GqWZ5chWq2EBoUchJbCc57eC9ArzO5wMsEmWftCw==",
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-        "gaxios": "^6.1.1",
-        "gcp-metadata": "^6.1.0",
-        "gtoken": "^7.0.0",
+        "gaxios": "^7.1.4",
+        "gcp-metadata": "8.1.2",
+        "google-logging-utils": "1.1.3",
         "jws": "^4.0.0"
       },
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-        "node": ">=14"
+        "node": ">=18"
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-      "version": "0.0.2",
-      "resolved": "https://registry.npmjs.org/google-logging-utils/-/google-logging-utils-0.0.2.tgz",
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+      "version": "1.1.3",
+      "resolved": "https://registry.npmjs.org/google-logging-utils/-/google-logging-utils-1.1.3.tgz",
+      "integrity": "sha512-eAmLkjDjAFCVXg7A1unxHsLf961m6y17QFqXqAXGj/gVkKFrEICfStRfwUlGNfeCEjNRa32JEWOUTlYXPyyKvA==",
       "license": "Apache-2.0",
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@@ -1972,19 +2108,6 @@
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-      "integrity": "sha512-pCcEwRi+TKpMlxAQObHDQ56KawURgyAf6jtIY046fJ5tIv3zDe/LEIubckAO8fj6JnAxLdmWkUfNyulQ2iKdEw==",
-      "license": "MIT",
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-        "jws": "^4.0.0"
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@@ -2144,6 +2267,7 @@
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+      "dev": true,
       "license": "MIT",
       "engines": {
         "node": ">=8"
@@ -2963,6 +3087,12 @@
         "node": ">=8"
       }
     },
+    "node_modules/long": {
+      "version": "5.3.2",
+      "resolved": "https://registry.npmjs.org/long/-/long-5.3.2.tgz",
+      "integrity": "sha512-mNAgZ1GmyNhD7AuqnTG3/VQ26o760+ZYBPKjPvugO8+nLbYfX6TVpJPseBvopbdY+qpZ/lKUnmEc1LeZYS3QAA==",
+      "license": "Apache-2.0"
+    },
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       "resolved": "https://registry.npmjs.org/lru-cache/-/lru-cache-5.1.1.tgz",
@@ -3069,24 +3199,42 @@
       "dev": true,
       "license": "MIT"
     },
+    "node_modules/node-domexception": {
+      "version": "1.0.0",
+      "resolved": "https://registry.npmjs.org/node-domexception/-/node-domexception-1.0.0.tgz",
+      "integrity": "sha512-/jKZoMpw0F8GRwl4/eLROPA3cfcXtLApP0QzLmUT/HuPCZWyB7IY9ZrMeKw2O/nFIqPQB3PVM9aYm0F312AXDQ==",
+      "deprecated": "Use your platform's native DOMException instead",
+      "funding": [
+        {
+          "type": "github",
+          "url": "https://github.com/sponsors/jimmywarting"
+        },
+        {
+          "type": "github",
+          "url": "https://paypal.me/jimmywarting"
+        }
+      ],
+      "license": "MIT",
+      "engines": {
+        "node": ">=10.5.0"
+      }
+    },
     "node_modules/node-fetch": {
-      "version": "2.7.0",
-      "resolved": "https://registry.npmjs.org/node-fetch/-/node-fetch-2.7.0.tgz",
-      "integrity": "sha512-c4FRfUm/dbcWZ7U+1Wq0AwCyFL+3nt2bEw05wfxSz+DWpWsitgmSgYmy2dQdWyKC1694ELPqMs/YzUSNozLt8A==",
+      "version": "3.3.2",
+      "resolved": "https://registry.npmjs.org/node-fetch/-/node-fetch-3.3.2.tgz",
+      "integrity": "sha512-dRB78srN/l6gqWulah9SrxeYnxeddIG30+GOqK/9OlLVyLg3HPnr6SqOWTWOXKRwC2eGYCkZ59NNuSgvSrpgOA==",
       "license": "MIT",
       "dependencies": {
-        "whatwg-url": "^5.0.0"
+        "data-uri-to-buffer": "^4.0.0",
+        "fetch-blob": "^3.1.4",
+        "formdata-polyfill": "^4.0.10"
       },
       "engines": {
-        "node": "4.x || >=6.0.0"
+        "node": "^12.20.0 || ^14.13.1 || >=16.0.0"
       },
-      "peerDependencies": {
-        "encoding": "^0.1.0"
-      },
-      "peerDependenciesMeta": {
-        "encoding": {
-          "optional": true
-        }
+      "funding": {
+        "type": "opencollective",
+        "url": "https://opencollective.com/node-fetch"
       }
     },
     "node_modules/node-int64": {
@@ -3197,6 +3345,19 @@
         "url": "https://github.com/sponsors/sindresorhus"
       }
     },
+    "node_modules/p-retry": {
+      "version": "4.6.2",
+      "resolved": "https://registry.npmjs.org/p-retry/-/p-retry-4.6.2.tgz",
+      "integrity": "sha512-312Id396EbJdvRONlngUx0NydfrIQ5lsYu0znKVUzVvArzEIt08V1qhtyESbGVd1FGX7UKtiFp5uwKZdM8wIuQ==",
+      "license": "MIT",
+      "dependencies": {
+        "@types/retry": "0.12.0",
+        "retry": "^0.13.1"
+      },
+      "engines": {
+        "node": ">=8"
+      }
+    },
     "node_modules/p-try": {
       "version": "2.2.0",
       "resolved": "https://registry.npmjs.org/p-try/-/p-try-2.2.0.tgz",
@@ -3348,6 +3509,30 @@
         "node": ">= 6"
       }
     },
+    "node_modules/protobufjs": {
+      "version": "7.5.6",
+      "resolved": "https://registry.npmjs.org/protobufjs/-/protobufjs-7.5.6.tgz",
+      "integrity": "sha512-M71sTMB146U3u0di3yup8iM+zv8yPRNQVr1KK4tyBitl3qFvEGucq/rGDRShD2rsJhtN02RJaJ7j5X5hmy8SJg==",
+      "hasInstallScript": true,
+      "license": "BSD-3-Clause",
+      "dependencies": {
+        "@protobufjs/aspromise": "^1.1.2",
+        "@protobufjs/base64": "^1.1.2",
+        "@protobufjs/codegen": "^2.0.5",
+        "@protobufjs/eventemitter": "^1.1.0",
+        "@protobufjs/fetch": "^1.1.0",
+        "@protobufjs/float": "^1.0.2",
+        "@protobufjs/inquire": "^1.1.1",
+        "@protobufjs/path": "^1.1.2",
+        "@protobufjs/pool": "^1.1.0",
+        "@protobufjs/utf8": "^1.1.1",
+        "@types/node": ">=13.7.0",
+        "long": "^5.0.0"
+      },
+      "engines": {
+        "node": ">=12.0.0"
+      }
+    },
     "node_modules/pure-rand": {
       "version": "6.1.0",
       "resolved": "https://registry.npmjs.org/pure-rand/-/pure-rand-6.1.0.tgz",
@@ -3437,6 +3622,15 @@
         "node": ">=10"
       }
     },
+    "node_modules/retry": {
+      "version": "0.13.1",
+      "resolved": "https://registry.npmjs.org/retry/-/retry-0.13.1.tgz",
+      "integrity": "sha512-XQBQ3I8W1Cge0Seh+6gjj03LbmRFWuoszgK9ooCpwYIrhhoO80pfq4cUkU5DkknwfOfFteRwlZ56PYOGYyFWdg==",
+      "license": "MIT",
+      "engines": {
+        "node": ">= 4"
+      }
+    },
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       "version": "5.2.1",
       "resolved": "https://registry.npmjs.org/safe-buffer/-/safe-buffer-5.2.1.tgz",
@@ -3691,12 +3885,6 @@
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-    "node_modules/tr46": {
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-      "resolved": "https://registry.npmjs.org/tr46/-/tr46-0.0.3.tgz",
-      "integrity": "sha512-N3WMsuqV66lT30CrXNbEjx4GEwlow3v6rr4mCcv6prnfwhS01rkgyFdjPNBYd9br7LpXV1+Emh01fHnq2Gdgrw==",
-      "license": "MIT"
-    },
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       "version": "4.0.8",
       "resolved": "https://registry.npmjs.org/type-detect/-/type-detect-4.0.8.tgz",
@@ -3724,7 +3912,6 @@
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-      "dev": true,
       "license": "MIT"
     },
     "node_modules/update-browserslist-db": {
@@ -3758,19 +3945,6 @@
         "browserslist": ">= 4.21.0"
       }
     },
-    "node_modules/uuid": {
-      "version": "9.0.1",
-      "resolved": "https://registry.npmjs.org/uuid/-/uuid-9.0.1.tgz",
-      "integrity": "sha512-b+1eJOlsR9K8HJpow9Ok3fiWOWSIcIzXodvv0rQjVoOVNpWMpxf1wZNpt4y9h10odCNrqnYp1OBzRktckBe3sA==",
-      "funding": [
-        "https://github.com/sponsors/broofa",
-        "https://github.com/sponsors/ctavan"
-      ],
-      "license": "MIT",
-      "bin": {
-        "uuid": "dist/bin/uuid"
-      }
-    },
     "node_modules/v8-to-istanbul": {
       "version": "9.3.0",
       "resolved": "https://registry.npmjs.org/v8-to-istanbul/-/v8-to-istanbul-9.3.0.tgz",
@@ -3796,20 +3970,13 @@
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-    "node_modules/webidl-conversions": {
-      "version": "3.0.1",
-      "resolved": "https://registry.npmjs.org/webidl-conversions/-/webidl-conversions-3.0.1.tgz",
-      "integrity": "sha512-2JAn3z8AR6rjK8Sm8orRC0h/bcl/DqL7tRPdGZ4I1CjdF+EaMLmYxBHyXuKL849eucPFhvBoxMsflfOb8kxaeQ==",
-      "license": "BSD-2-Clause"
-    },
-    "node_modules/whatwg-url": {
-      "version": "5.0.0",
-      "resolved": "https://registry.npmjs.org/whatwg-url/-/whatwg-url-5.0.0.tgz",
-      "integrity": "sha512-saE57nupxk6v3HY35+jzBwYa0rKSy0XR8JSxZPwgLr7ys0IBzhGviA1/TUGJLmSVqs8pb9AnvICXEuOHLprYTw==",
+    "node_modules/web-streams-polyfill": {
+      "version": "3.3.3",
+      "resolved": "https://registry.npmjs.org/web-streams-polyfill/-/web-streams-polyfill-3.3.3.tgz",
+      "integrity": "sha512-d2JWLCivmZYTSIoge9MsgFCZrt571BikcWGYkjC1khllbTeDlGqZ2D8vD8E/lJa8WGWbb7Plm8/XJYV7IJHZZw==",
       "license": "MIT",
-      "dependencies": {
-        "tr46": "~0.0.3",
-        "webidl-conversions": "^3.0.0"
+      "engines": {
+        "node": ">= 8"
       }
     },
     "node_modules/which": {
@@ -3867,6 +4034,27 @@
         "node": "^12.13.0 || ^14.15.0 || >=16.0.0"
       }
     },
+    "node_modules/ws": {
+      "version": "8.20.0",
+      "resolved": "https://registry.npmjs.org/ws/-/ws-8.20.0.tgz",
+      "integrity": "sha512-sAt8BhgNbzCtgGbt2OxmpuryO63ZoDk/sqaB/znQm94T4fCEsy/yV+7CdC1kJhOU9lboAEU7R3kquuycDoibVA==",
+      "license": "MIT",
+      "engines": {
+        "node": ">=10.0.0"
+      },
+      "peerDependencies": {
+        "bufferutil": "^4.0.1",
+        "utf-8-validate": ">=5.0.2"
+      },
+      "peerDependenciesMeta": {
+        "bufferutil": {
+          "optional": true
+        },
+        "utf-8-validate": {
+          "optional": true
+        }
+      }
+    },
     "node_modules/y18n": {
       "version": "5.0.8",
       "resolved": "https://registry.npmjs.org/y18n/-/y18n-5.0.8.tgz",
diff --git a/tests/pass_through_tests/package.json b/tests/pass_through_tests/package.json
index a500c14cce7..1d90b41ec07 100644
--- a/tests/pass_through_tests/package.json
+++ b/tests/pass_through_tests/package.json
@@ -4,10 +4,15 @@
   "private": true,
   "description": "JS pass-through tests for Vertex AI / Google AI Studio routes. CI-only; not published.",
   "dependencies": {
-    "@google-cloud/vertexai": "1.9.3",
-    "@google/generative-ai": "0.21.0"
+    "@google-cloud/vertexai": "1.12.0",
+    "@google/generative-ai": "0.24.1"
   },
   "devDependencies": {
     "jest": "29.7.0"
+  },
+  "overrides": {
+    "@google-cloud/vertexai": {
+      "google-auth-library": "10.6.2"
+    }
   }
 }
diff --git a/tests/proxy_admin_ui_tests/ui_unit_tests/package-lock.json b/tests/proxy_admin_ui_tests/ui_unit_tests/package-lock.json
index b8f76a83f5c..bcae53ecc4b 100644
--- a/tests/proxy_admin_ui_tests/ui_unit_tests/package-lock.json
+++ b/tests/proxy_admin_ui_tests/ui_unit_tests/package-lock.json
@@ -8,22 +8,22 @@
             "name": "ui-unit-tests",
             "version": "1.0.0",
             "dependencies": {
-                "@ant-design/icons": "^5.0.0",
-                "antd": "^5.12.5",
-                "react": "^18.2.0",
-                "react-dom": "^18.2.0"
+                "@ant-design/icons": "5.6.1",
+                "antd": "5.29.1",
+                "react": "18.3.1",
+                "react-dom": "18.3.1"
             },
             "devDependencies": {
-                "@testing-library/jest-dom": "^6.0.0",
-                "@testing-library/react": "^14.0.0",
-                "@types/jest": "^29.5.0",
-                "@types/react": "^18.2.0",
-                "@types/react-dom": "^18.2.0",
-                "identity-obj-proxy": "^3.0.0",
-                "jest": "^29.5.0",
-                "jest-environment-jsdom": "^29.5.0",
-                "ts-jest": "^29.1.0",
-                "typescript": "^5.0.0"
+                "@testing-library/jest-dom": "6.9.1",
+                "@testing-library/react": "14.3.1",
+                "@types/jest": "29.5.14",
+                "@types/react": "18.3.27",
+                "@types/react-dom": "18.3.7",
+                "identity-obj-proxy": "3.0.0",
+                "jest": "29.7.0",
+                "jest-environment-jsdom": "29.7.0",
+                "ts-jest": "29.4.5",
+                "typescript": "5.9.3"
             }
         },
         "node_modules/@adobe/css-tools": {
@@ -647,29 +647,6 @@
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             "license": "MIT"
         },
-        "node_modules/@isaacs/balanced-match": {
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-            "resolved": "https://registry.npmjs.org/@isaacs/balanced-match/-/balanced-match-4.0.1.tgz",
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-            "dev": true,
-            "license": "MIT",
-            "engines": {
-                "node": "20 || >=22"
-            }
-        },
-        "node_modules/@isaacs/brace-expansion": {
-            "version": "5.0.0",
-            "resolved": "https://registry.npmjs.org/@isaacs/brace-expansion/-/brace-expansion-5.0.0.tgz",
-            "integrity": "sha512-ZT55BDLV0yv0RBm2czMiZ+SqCGO7AvmOM3G/w2xhVPH+te0aKgFjmBvGlL1dH+ql2tgGO3MVrbb3jCKyvpgnxA==",
-            "dev": true,
-            "license": "MIT",
-            "dependencies": {
-                "@isaacs/balanced-match": "^4.0.1"
-            },
-            "engines": {
-                "node": "20 || >=22"
-            }
-        },
         "node_modules/@istanbuljs/load-nyc-config": {
             "version": "1.1.0",
             "resolved": "https://registry.npmjs.org/@istanbuljs/load-nyc-config/-/load-nyc-config-1.1.0.tgz",
@@ -1326,9 +1303,9 @@
             }
         },
         "node_modules/@tootallnate/once": {
-            "version": "2.0.0",
-            "resolved": "https://registry.npmjs.org/@tootallnate/once/-/once-2.0.0.tgz",
-            "integrity": "sha512-XCuKFP5PS55gnMVu3dty8KPatLqUoy/ZYzDzAGCQ8JNFCkLXzmI7vNHCR+XpbZaMWQK/vQubr7PkYq8g470J/A==",
+            "version": "3.0.1",
+            "resolved": "https://registry.npmjs.org/@tootallnate/once/-/once-3.0.1.tgz",
+            "integrity": "sha512-VyMVKRrpHTT8PnotUeV8L/mDaMwD5DaAKCFLP73zAqAtvF0FCqky+Ki7BYbFCYQmqFyTe9316Ed5zS70QUR9eg==",
             "dev": true,
             "license": "MIT",
             "engines": {
@@ -1907,11 +1884,14 @@
             }
         },
         "node_modules/balanced-match": {
-            "version": "1.0.2",
-            "resolved": "https://registry.npmjs.org/balanced-match/-/balanced-match-1.0.2.tgz",
-            "integrity": "sha512-3oSeUO0TMV67hN1AmbXsK4yaqU7tjiHlbxRDZOpH0KW9+CeX4bRAaX0Anxt0tx2MrpRpWwQaPwIlISEJhYU5Pw==",
+            "version": "4.0.4",
+            "resolved": "https://registry.npmjs.org/balanced-match/-/balanced-match-4.0.4.tgz",
+            "integrity": "sha512-BLrgEcRTwX2o6gGxGOCNyMvGSp35YofuYzw9h1IMTRmKqttAZZVU67bdb9Pr2vUHA8+j3i2tJfjO6C6+4myGTA==",
             "dev": true,
-            "license": "MIT"
+            "license": "MIT",
+            "engines": {
+                "node": "18 || 20 || >=22"
+            }
         },
         "node_modules/baseline-browser-mapping": {
             "version": "2.8.30",
@@ -1924,14 +1904,16 @@
             }
         },
         "node_modules/brace-expansion": {
-            "version": "1.1.12",
-            "resolved": "https://registry.npmjs.org/brace-expansion/-/brace-expansion-1.1.12.tgz",
-            "integrity": "sha512-9T9UjW3r0UW5c1Q7GTwllptXwhvYmEzFhzMfZ9H7FQWt+uZePjZPjBP/W1ZEyZ1twGWom5/56TF4lPcqjnDHcg==",
+            "version": "5.0.5",
+            "resolved": "https://registry.npmjs.org/brace-expansion/-/brace-expansion-5.0.5.tgz",
+            "integrity": "sha512-VZznLgtwhn+Mact9tfiwx64fA9erHH/MCXEUfB/0bX/6Fz6ny5EGTXYltMocqg4xFAQZtnO3DHWWXi8RiuN7cQ==",
             "dev": true,
             "license": "MIT",
             "dependencies": {
-                "balanced-match": "^1.0.0",
-                "concat-map": "0.0.1"
+                "balanced-match": "^4.0.2"
+            },
+            "engines": {
+                "node": "18 || 20 || >=22"
             }
         },
         "node_modules/braces": {
@@ -2230,13 +2212,6 @@
             "integrity": "sha512-VRhuHOLoKYOy4UbilLbUzbYg93XLjv2PncJC50EuTWPA3gaja1UjBsUP/D/9/juV3vQFr6XBEzn9KCAHdUvOHw==",
             "license": "MIT"
         },
-        "node_modules/concat-map": {
-            "version": "0.0.1",
-            "resolved": "https://registry.npmjs.org/concat-map/-/concat-map-0.0.1.tgz",
-            "integrity": "sha512-/Srv4dswyQNBfohGpz9o6Yb3Gz3SrUDqBH5rTuhGR7ahtlbYKnVxw2bCFMRljaA7EXHaXZ8wsHdodFvbkhKmqg==",
-            "dev": true,
-            "license": "MIT"
-        },
         "node_modules/convert-source-map": {
             "version": "2.0.0",
             "resolved": "https://registry.npmjs.org/convert-source-map/-/convert-source-map-2.0.0.tgz",
@@ -3015,9 +2990,9 @@
             "license": "ISC"
         },
         "node_modules/handlebars": {
-            "version": "4.7.8",
-            "resolved": "https://registry.npmjs.org/handlebars/-/handlebars-4.7.8.tgz",
-            "integrity": "sha512-vafaFqs8MZkRrSX7sFVUdo3ap/eNiLnb4IakshzvP56X5Nr1iGKAIqdX6tMlm6HcNRIkr6AxO5jFEoJzzpT8aQ==",
+            "version": "4.7.9",
+            "resolved": "https://registry.npmjs.org/handlebars/-/handlebars-4.7.9.tgz",
+            "integrity": "sha512-4E71E0rpOaQuJR2A3xDZ+GM1HyWYv1clR58tC8emQNeQe3RH7MAzSbat+V0wG78LQBo6m6bzSG/L4pBuCsgnUQ==",
             "dev": true,
             "license": "MIT",
             "dependencies": {
@@ -4920,16 +4895,16 @@
             }
         },
         "node_modules/minimatch": {
-            "version": "10.1.1",
-            "resolved": "https://registry.npmjs.org/minimatch/-/minimatch-10.1.1.tgz",
-            "integrity": "sha512-enIvLvRAFZYXJzkCYG5RKmPfrFArdLv+R+lbQ53BmIMLIry74bjKzX6iHAm8WYamJkhSSEabrWN5D97XnKObjQ==",
+            "version": "10.2.5",
+            "resolved": "https://registry.npmjs.org/minimatch/-/minimatch-10.2.5.tgz",
+            "integrity": "sha512-MULkVLfKGYDFYejP07QOurDLLQpcjk7Fw+7jXS2R2czRQzR56yHRveU5NDJEOviH+hETZKSkIk5c+T23GjFUMg==",
             "dev": true,
             "license": "BlueOak-1.0.0",
             "dependencies": {
-                "@isaacs/brace-expansion": "^5.0.0"
+                "brace-expansion": "^5.0.5"
             },
             "engines": {
-                "node": "20 || >=22"
+                "node": "18 || 20 || >=22"
             },
             "funding": {
                 "url": "https://github.com/sponsors/isaacs"
@@ -5246,9 +5221,9 @@
             "license": "ISC"
         },
         "node_modules/picomatch": {
-            "version": "2.3.1",
-            "resolved": "https://registry.npmjs.org/picomatch/-/picomatch-2.3.1.tgz",
-            "integrity": "sha512-JU3teHTNjmE2VCGFzuY8EXzCDVwEqB2a8fsIvwaStHhAWJEeVd1o1QD80CU6+ZdEXXSLbSsuLwJjkCBWqRQUVA==",
+            "version": "2.3.2",
+            "resolved": "https://registry.npmjs.org/picomatch/-/picomatch-2.3.2.tgz",
+            "integrity": "sha512-V7+vQEJ06Z+c5tSye8S+nHUfI51xoXIXjHQ99cQtKUkQqqO1kO/KCJUfZXuB47h/YBlDhah2H3hdUGXn8ie0oA==",
             "dev": true,
             "license": "MIT",
             "engines": {
@@ -6562,19 +6537,6 @@
                 "node": ">=8"
             }
         },
-        "node_modules/test-exclude/node_modules/minimatch": {
-            "version": "3.1.2",
-            "resolved": "https://registry.npmjs.org/minimatch/-/minimatch-3.1.2.tgz",
-            "integrity": "sha512-J7p63hRiAjw1NDEww1W7i37+ByIrOWO5XQQAzZ3VOcL0PNybwpfmV/N05zFAzwQ9USyEcX6t3UO+K5aqBQOIHw==",
-            "dev": true,
-            "license": "ISC",
-            "dependencies": {
-                "brace-expansion": "^1.1.7"
-            },
-            "engines": {
-                "node": "*"
-            }
-        },
         "node_modules/throttle-debounce": {
             "version": "5.0.2",
             "resolved": "https://registry.npmjs.org/throttle-debounce/-/throttle-debounce-5.0.2.tgz",
diff --git a/tests/proxy_admin_ui_tests/ui_unit_tests/package.json b/tests/proxy_admin_ui_tests/ui_unit_tests/package.json
index 1c6dce56afe..76249bf085f 100644
--- a/tests/proxy_admin_ui_tests/ui_unit_tests/package.json
+++ b/tests/proxy_admin_ui_tests/ui_unit_tests/package.json
@@ -25,10 +25,13 @@
     },
     "overrides": {
         "glob": "13.0.0",
-        "minimatch": "10.1.1",
+        "minimatch": "10.2.5",
+        "picomatch": "2.3.2",
+        "handlebars": "4.7.9",
+        "@tootallnate/once": "3.0.1",
         "@isaacs/brace-expansion": "5.0.0",
         "@babel/traverse": "7.28.5",
         "ws": "8.18.3",
         "braces": "3.0.3"
     }
-}
\ No newline at end of file
+}
diff --git a/tests/spend_tracking_tests/test_spend_accuracy_tests.py b/tests/spend_tracking_tests/test_spend_accuracy_tests.py
index 15e00d93356..b50afeb843a 100644
--- a/tests/spend_tracking_tests/test_spend_accuracy_tests.py
+++ b/tests/spend_tracking_tests/test_spend_accuracy_tests.py
@@ -128,8 +128,8 @@ async def get_spend_info(session, entity_type: str, entity_id: str):
 
 
 async def get_proxy_readiness(session):
-    """Fetch /health/readiness. Used both as a fail-fast gate and as a diagnostic on poll timeout."""
-    url = "http://0.0.0.0:4000/health/readiness"
+    """Fetch authenticated readiness details. Used both as a fail-fast gate and as a diagnostic on poll timeout."""
+    url = "http://0.0.0.0:4000/health/readiness/details"
     headers = {"Authorization": "Bearer sk-1234"}
     async with session.get(url, headers=headers) as response:
         return response.status, await response.json()
@@ -140,7 +140,7 @@ async def assert_proxy_healthy(session):
     status, body = await get_proxy_readiness(session)
     if status != 200 or body.get("db") != "connected":
         pytest.fail(
-            f"Proxy /health/readiness unhealthy (status={status}). "
+            f"Proxy /health/readiness/details unhealthy (status={status}). "
             f"Cannot run spend accuracy test. Response: {body}"
         )
     print(f"Proxy readiness OK: {body}")
diff --git a/tests/test_health.py b/tests/test_health.py
index 00f095022b9..15dc2330ffb 100644
--- a/tests/test_health.py
+++ b/tests/test_health.py
@@ -73,13 +73,32 @@ async def test_health_readiness():
             response_json = await response.json()
 
             print(response_json)
-            assert "litellm_version" in response_json
             assert "status" in response_json
 
             if status != 200:
                 raise Exception(f"Request did not return a 200 status code: {status}")
 
 
+@pytest.mark.asyncio
+async def test_health_readiness_details():
+    """
+    Check if authenticated readiness diagnostics expose version metadata.
+    """
+    async with aiohttp.ClientSession() as session:
+        url = "http://0.0.0.0:4000/health/readiness/details"
+        headers = {"Authorization": "Bearer sk-1234"}
+        async with session.get(url, headers=headers) as response:
+            status = response.status
+            response_json = await response.json()
+
+            print(response_json)
+            assert "status" in response_json
+            assert "litellm_version" in response_json
+
+            if status != 200:
+                raise Exception(f"Request did not return a 200 status code: {status}")
+
+
 @pytest.mark.asyncio
 async def test_health_liveliness():
     """
diff --git a/tests/test_litellm/caching/test_qdrant_semantic_cache.py b/tests/test_litellm/caching/test_qdrant_semantic_cache.py
index 13dc4b5812c..949e6ccc292 100644
--- a/tests/test_litellm/caching/test_qdrant_semantic_cache.py
+++ b/tests/test_litellm/caching/test_qdrant_semantic_cache.py
@@ -19,9 +19,7 @@ def test_qdrant_semantic_cache_initialization(monkeypatch):
         patch(
             "litellm.llms.custom_httpx.http_handler._get_httpx_client"
         ) as mock_sync_client,
-        patch(
-            "litellm.llms.custom_httpx.http_handler.get_async_httpx_client"
-        ) as mock_async_client,
+        patch("litellm.llms.custom_httpx.http_handler.get_async_httpx_client"),
     ):
 
         # Mock the collection exists check
@@ -31,6 +29,9 @@ def test_qdrant_semantic_cache_initialization(monkeypatch):
 
         mock_sync_client_instance = MagicMock()
         mock_sync_client_instance.get.return_value = mock_response
+        mock_index_response = MagicMock()
+        mock_index_response.status_code = 200
+        mock_sync_client_instance.put.return_value = mock_index_response
         mock_sync_client.return_value = mock_sync_client_instance
 
         from litellm.caching.qdrant_semantic_cache import QdrantSemanticCache
@@ -48,6 +49,17 @@ def test_qdrant_semantic_cache_initialization(monkeypatch):
         assert qdrant_cache.qdrant_api_base == "http://test.qdrant.local"
         assert qdrant_cache.qdrant_api_key == "test_key"
         assert qdrant_cache.similarity_threshold == 0.8
+        mock_sync_client_instance.put.assert_called_once_with(
+            url="http://test.qdrant.local/collections/test_collection/index",
+            headers={
+                "Content-Type": "application/json",
+                "api-key": "test_key",
+            },
+            json={
+                "field_name": QdrantSemanticCache.CACHE_KEY_FIELD_NAME,
+                "field_schema": "keyword",
+            },
+        )
 
     # Test initialization with missing similarity_threshold
     with pytest.raises(Exception, match="similarity_threshold must be provided"):
@@ -67,9 +79,7 @@ def test_qdrant_semantic_cache_get_cache_hit():
         patch(
             "litellm.llms.custom_httpx.http_handler._get_httpx_client"
         ) as mock_sync_client,
-        patch(
-            "litellm.llms.custom_httpx.http_handler.get_async_httpx_client"
-        ) as mock_async_client,
+        patch("litellm.llms.custom_httpx.http_handler.get_async_httpx_client"),
     ):
 
         # Mock the collection exists check
@@ -98,6 +108,7 @@ def test_qdrant_semantic_cache_get_cache_hit():
             "result": [
                 {
                     "payload": {
+                        QdrantSemanticCache.CACHE_KEY_FIELD_NAME: "test_key",
                         "text": "What is the capital of France?",  # Original prompt
                         "response": '{"id": "test-123", "choices": [{"message": {"content": "Paris is the capital of France."}}]}',
                     },
@@ -127,6 +138,177 @@ def test_qdrant_semantic_cache_get_cache_hit():
 
             # Verify search was called
             qdrant_cache.sync_client.post.assert_called()
+            assert qdrant_cache.sync_client.post.call_args.kwargs["json"]["filter"] == {
+                "must": [
+                    {
+                        "key": QdrantSemanticCache.CACHE_KEY_FIELD_NAME,
+                        "match": {"value": "test_key"},
+                    }
+                ]
+            }
+
+
+def test_qdrant_semantic_cache_rejects_unscoped_cache_hit():
+    """
+    Test QDRANT semantic cache rejects old or unscoped cache hits.
+
+    Legacy points have only text and response payloads, so they cannot be
+    safely migrated to a generated LiteLLM cache key.
+    """
+    with (
+        patch(
+            "litellm.llms.custom_httpx.http_handler._get_httpx_client"
+        ) as mock_sync_client,
+        patch("litellm.llms.custom_httpx.http_handler.get_async_httpx_client"),
+    ):
+
+        mock_response = MagicMock()
+        mock_response.status_code = 200
+        mock_response.json.return_value = {"result": {"exists": True}}
+
+        mock_sync_client_instance = MagicMock()
+        mock_sync_client_instance.get.return_value = mock_response
+        mock_sync_client.return_value = mock_sync_client_instance
+
+        from litellm.caching.qdrant_semantic_cache import QdrantSemanticCache
+
+        qdrant_cache = QdrantSemanticCache(
+            collection_name="test_collection",
+            qdrant_api_base="http://test.qdrant.local",
+            qdrant_api_key="test_key",
+            similarity_threshold=0.8,
+        )
+
+        mock_search_response = MagicMock()
+        mock_search_response.status_code = 200
+        mock_search_response.json.return_value = {
+            "result": [
+                {
+                    "payload": {
+                        "text": "What is the capital of France?",
+                        "response": '{"id": "test-123"}',
+                    },
+                    "score": 0.9,
+                }
+            ]
+        }
+        qdrant_cache.sync_client.post = MagicMock(return_value=mock_search_response)
+
+        with patch(
+            "litellm.embedding", return_value={"data": [{"embedding": [0.1, 0.2, 0.3]}]}
+        ):
+            metadata = {}
+            result = qdrant_cache.get_cache(
+                key="test_key",
+                messages=[{"content": "What is the capital of France?"}],
+                metadata=metadata,
+            )
+
+        assert result is None
+        assert metadata["semantic-similarity"] == 0.0
+
+
+def test_qdrant_semantic_cache_payload_index_failure_is_non_blocking():
+    from litellm.caching.qdrant_semantic_cache import QdrantSemanticCache
+
+    qdrant_cache = QdrantSemanticCache.__new__(QdrantSemanticCache)
+    qdrant_cache.qdrant_api_base = "http://test.qdrant.local"
+    qdrant_cache.collection_name = "test_collection"
+    qdrant_cache.headers = {"Content-Type": "application/json"}
+    qdrant_cache.sync_client = MagicMock()
+    response = MagicMock()
+    response.status_code = 400
+    response.text = "bad index"
+    qdrant_cache.sync_client.put.return_value = response
+
+    qdrant_cache._ensure_cache_key_payload_index()
+
+    qdrant_cache.sync_client.put.assert_called_once()
+
+
+def test_qdrant_semantic_cache_payload_index_exception_is_non_blocking():
+    from litellm.caching.qdrant_semantic_cache import QdrantSemanticCache
+
+    qdrant_cache = QdrantSemanticCache.__new__(QdrantSemanticCache)
+    qdrant_cache.qdrant_api_base = "http://test.qdrant.local"
+    qdrant_cache.collection_name = "test_collection"
+    qdrant_cache.headers = {"Content-Type": "application/json"}
+    qdrant_cache.sync_client = MagicMock()
+    qdrant_cache.sync_client.put.side_effect = Exception("boom")
+
+    qdrant_cache._ensure_cache_key_payload_index()
+
+    qdrant_cache.sync_client.put.assert_called_once()
+
+
+def _mock_qdrant_get_cache_result(qdrant_result):
+    from litellm.caching.qdrant_semantic_cache import QdrantSemanticCache
+
+    qdrant_cache = QdrantSemanticCache.__new__(QdrantSemanticCache)
+    qdrant_cache.embedding_model = "text-embedding-ada-002"
+    qdrant_cache.qdrant_api_base = "http://test.qdrant.local"
+    qdrant_cache.collection_name = "test_collection"
+    qdrant_cache.headers = {
+        "Content-Type": "application/json",
+        "api-key": "test_key",
+    }
+    qdrant_cache.similarity_threshold = 0.8
+    qdrant_cache.sync_client = MagicMock()
+
+    mock_search_response = MagicMock()
+    mock_search_response.status_code = 200
+    mock_search_response.json.return_value = {"result": qdrant_result}
+    qdrant_cache.sync_client.post.return_value = mock_search_response
+
+    return qdrant_cache, QdrantSemanticCache
+
+
+@pytest.mark.parametrize("qdrant_result", [None, []])
+def test_qdrant_semantic_cache_get_cache_sets_metadata_on_empty_miss(qdrant_result):
+    qdrant_cache, _ = _mock_qdrant_get_cache_result(qdrant_result)
+    metadata = {}
+
+    with patch(
+        "litellm.embedding", return_value={"data": [{"embedding": [0.1, 0.2, 0.3]}]}
+    ):
+        result = qdrant_cache.get_cache(
+            key="test_key",
+            messages=[{"content": "What is the capital of Spain?"}],
+            metadata=metadata,
+        )
+
+    assert result is None
+    assert metadata["semantic-similarity"] == 0.0
+
+
+def test_qdrant_semantic_cache_get_cache_sets_metadata_on_below_threshold_miss():
+    from litellm.caching.qdrant_semantic_cache import QdrantSemanticCache
+
+    qdrant_cache, _ = _mock_qdrant_get_cache_result(
+        [
+            {
+                "payload": {
+                    QdrantSemanticCache.CACHE_KEY_FIELD_NAME: "test_key",
+                    "text": "What is the capital of Spain?",
+                    "response": '{"id": "test-456"}',
+                },
+                "score": 0.7,
+            }
+        ]
+    )
+    metadata = {}
+
+    with patch(
+        "litellm.embedding", return_value={"data": [{"embedding": [0.1, 0.2, 0.3]}]}
+    ):
+        result = qdrant_cache.get_cache(
+            key="test_key",
+            messages=[{"content": "What is the capital of Spain?"}],
+            metadata=metadata,
+        )
+
+    assert result is None
+    assert metadata["semantic-similarity"] == 0.7
 
 
 def test_qdrant_semantic_cache_get_cache_miss():
@@ -138,9 +320,7 @@ def test_qdrant_semantic_cache_get_cache_miss():
         patch(
             "litellm.llms.custom_httpx.http_handler._get_httpx_client"
         ) as mock_sync_client,
-        patch(
-            "litellm.llms.custom_httpx.http_handler.get_async_httpx_client"
-        ) as mock_async_client,
+        patch("litellm.llms.custom_httpx.http_handler.get_async_httpx_client"),
     ):
 
         # Mock the collection exists check
@@ -230,6 +410,7 @@ async def test_qdrant_semantic_cache_async_get_cache_hit():
             "result": [
                 {
                     "payload": {
+                        QdrantSemanticCache.CACHE_KEY_FIELD_NAME: "test_key",
                         "text": "What is the capital of Spain?",  # Original prompt
                         "response": '{"id": "test-456", "choices": [{"message": {"content": "Madrid is the capital of Spain."}}]}',
                     },
@@ -262,6 +443,16 @@ async def test_qdrant_semantic_cache_async_get_cache_hit():
 
             # Verify async search was called
             qdrant_cache.async_client.post.assert_called()
+            assert qdrant_cache.async_client.post.call_args.kwargs["json"][
+                "filter"
+            ] == {
+                "must": [
+                    {
+                        "key": QdrantSemanticCache.CACHE_KEY_FIELD_NAME,
+                        "match": {"value": "test_key"},
+                    }
+                ]
+            }
 
 
 @pytest.mark.asyncio
@@ -336,9 +527,7 @@ def test_qdrant_semantic_cache_set_cache():
         patch(
             "litellm.llms.custom_httpx.http_handler._get_httpx_client"
         ) as mock_sync_client,
-        patch(
-            "litellm.llms.custom_httpx.http_handler.get_async_httpx_client"
-        ) as mock_async_client,
+        patch("litellm.llms.custom_httpx.http_handler.get_async_httpx_client"),
     ):
 
         # Mock the collection exists check
@@ -384,6 +573,12 @@ def test_qdrant_semantic_cache_set_cache():
 
             # Verify upsert was called
             qdrant_cache.sync_client.put.assert_called()
+            upsert_payload = qdrant_cache.sync_client.put.call_args.kwargs["json"][
+                "points"
+            ][0]["payload"]
+            assert (
+                upsert_payload[QdrantSemanticCache.CACHE_KEY_FIELD_NAME] == "test_key"
+            )
 
 
 @pytest.mark.asyncio
@@ -450,6 +645,12 @@ async def test_qdrant_semantic_cache_async_set_cache():
 
             # Verify async upsert was called
             qdrant_cache.async_client.put.assert_called()
+            upsert_payload = qdrant_cache.async_client.put.call_args.kwargs["json"][
+                "points"
+            ][0]["payload"]
+            assert (
+                upsert_payload[QdrantSemanticCache.CACHE_KEY_FIELD_NAME] == "test_key"
+            )
 
 
 def test_qdrant_semantic_cache_custom_vector_size():
@@ -462,9 +663,7 @@ def test_qdrant_semantic_cache_custom_vector_size():
         patch(
             "litellm.llms.custom_httpx.http_handler._get_httpx_client"
         ) as mock_sync_client,
-        patch(
-            "litellm.llms.custom_httpx.http_handler.get_async_httpx_client"
-        ) as mock_async_client,
+        patch("litellm.llms.custom_httpx.http_handler.get_async_httpx_client"),
     ):
 
         # Mock the collection does NOT exist (so it will be created)
@@ -505,9 +704,13 @@ def test_qdrant_semantic_cache_custom_vector_size():
         assert qdrant_cache.vector_size == 768
 
         # Verify the PUT call to create the collection used vector_size=768
-        put_call = mock_sync_client_instance.put.call_args
-        assert put_call is not None
-        create_payload = put_call.kwargs.get("json") or put_call[1].get("json")
+        put_call = next(
+            call
+            for call in mock_sync_client_instance.put.call_args_list
+            if call.kwargs["url"]
+            == "http://test.qdrant.local/collections/test_collection_768"
+        )
+        create_payload = put_call.kwargs["json"]
         assert create_payload["vectors"]["size"] == 768
         assert create_payload["vectors"]["distance"] == "Cosine"
 
@@ -521,9 +724,7 @@ def test_qdrant_semantic_cache_default_vector_size():
         patch(
             "litellm.llms.custom_httpx.http_handler._get_httpx_client"
         ) as mock_sync_client,
-        patch(
-            "litellm.llms.custom_httpx.http_handler.get_async_httpx_client"
-        ) as mock_async_client,
+        patch("litellm.llms.custom_httpx.http_handler.get_async_httpx_client"),
     ):
 
         # Mock the collection exists check
@@ -559,9 +760,7 @@ def test_qdrant_semantic_cache_large_vector_size():
         patch(
             "litellm.llms.custom_httpx.http_handler._get_httpx_client"
         ) as mock_sync_client,
-        patch(
-            "litellm.llms.custom_httpx.http_handler.get_async_httpx_client"
-        ) as mock_async_client,
+        patch("litellm.llms.custom_httpx.http_handler.get_async_httpx_client"),
     ):
 
         # Mock the collection does NOT exist (so it will be created)
@@ -599,6 +798,11 @@ def test_qdrant_semantic_cache_large_vector_size():
         assert qdrant_cache.vector_size == 4096
 
         # Verify the collection was created with 4096
-        put_call = mock_sync_client_instance.put.call_args
-        create_payload = put_call.kwargs.get("json") or put_call[1].get("json")
+        put_call = next(
+            call
+            for call in mock_sync_client_instance.put.call_args_list
+            if call.kwargs["url"]
+            == "http://test.qdrant.local/collections/test_collection_4096"
+        )
+        create_payload = put_call.kwargs["json"]
         assert create_payload["vectors"]["size"] == 4096
diff --git a/tests/test_litellm/caching/test_redis_semantic_cache.py b/tests/test_litellm/caching/test_redis_semantic_cache.py
index f9946e266fe..b50a35ef50e 100644
--- a/tests/test_litellm/caching/test_redis_semantic_cache.py
+++ b/tests/test_litellm/caching/test_redis_semantic_cache.py
@@ -72,24 +72,301 @@ def test_redis_semantic_cache_get_cache(monkeypatch):
                 "prompt": "What is the capital of France?",
                 "response": '{"content": "Paris is the capital of France."}',
                 "vector_distance": 0.1,  # Distance of 0.1 means similarity of 0.9
+                RedisSemanticCache.CACHE_KEY_FIELD_NAME: "test_key",
             }
         ]
         redis_semantic_cache.llmcache.check = MagicMock(return_value=mock_result)
 
         # Mock the embedding function
-        with patch(
-            "litellm.embedding", return_value={"data": [{"embedding": [0.1, 0.2, 0.3]}]}
+        with (
+            patch(
+                "litellm.embedding",
+                return_value={"data": [{"embedding": [0.1, 0.2, 0.3]}]},
+            ),
+            patch.object(
+                redis_semantic_cache,
+                "_get_cache_key_filter_expression",
+                return_value="cache-key-filter",
+            ),
         ):
             # Test get_cache with a message
+            metadata = {}
             result = redis_semantic_cache.get_cache(
-                key="test_key", messages=[{"content": "What is the capital of France?"}]
+                key="test_key",
+                messages=[{"content": "What is the capital of France?"}],
+                metadata=metadata,
             )
 
             # Verify result is properly parsed
             assert result == {"content": "Paris is the capital of France."}
+            assert metadata["semantic-similarity"] == pytest.approx(0.9)
 
             # Verify llmcache.check was called
-            redis_semantic_cache.llmcache.check.assert_called_once()
+            redis_semantic_cache.llmcache.check.assert_called_once_with(
+                prompt="What is the capital of France?",
+                filter_expression="cache-key-filter",
+            )
+
+
+def test_redis_semantic_cache_rejects_unscoped_cache_hit(monkeypatch):
+    semantic_cache_mock = MagicMock()
+    custom_vectorizer_mock = MagicMock()
+
+    with patch.dict(
+        "sys.modules",
+        {
+            "redisvl.extensions.llmcache": MagicMock(SemanticCache=semantic_cache_mock),
+            "redisvl.utils.vectorize": MagicMock(
+                CustomTextVectorizer=custom_vectorizer_mock
+            ),
+        },
+    ):
+        from litellm.caching.redis_semantic_cache import RedisSemanticCache
+
+        monkeypatch.setenv("REDIS_HOST", "localhost")
+        monkeypatch.setenv("REDIS_PORT", "6379")
+        monkeypatch.setenv("REDIS_PASSWORD", "test_password")
+
+        redis_semantic_cache = RedisSemanticCache(similarity_threshold=0.8)
+        redis_semantic_cache.llmcache.check = MagicMock(
+            return_value=[
+                {
+                    "prompt": "What is the capital of France?",
+                    "response": '{"content": "Paris"}',
+                    "vector_distance": 0.1,
+                }
+            ]
+        )
+
+        with patch.object(
+            redis_semantic_cache,
+            "_get_cache_key_filter_expression",
+            return_value="cache-key-filter",
+        ):
+            metadata = {}
+            result = redis_semantic_cache.get_cache(
+                key="test_key",
+                messages=[{"content": "What is the capital of France?"}],
+                metadata=metadata,
+            )
+
+        assert result is None
+        assert metadata["semantic-similarity"] == 0.0
+
+
+def test_redis_semantic_cache_set_cache_stores_cache_key_filter(monkeypatch):
+    semantic_cache_mock = MagicMock()
+    custom_vectorizer_mock = MagicMock()
+
+    with patch.dict(
+        "sys.modules",
+        {
+            "redisvl.extensions.llmcache": MagicMock(SemanticCache=semantic_cache_mock),
+            "redisvl.utils.vectorize": MagicMock(
+                CustomTextVectorizer=custom_vectorizer_mock
+            ),
+        },
+    ):
+        from litellm.caching.redis_semantic_cache import RedisSemanticCache
+
+        monkeypatch.setenv("REDIS_HOST", "localhost")
+        monkeypatch.setenv("REDIS_PORT", "6379")
+        monkeypatch.setenv("REDIS_PASSWORD", "test_password")
+
+        redis_semantic_cache = RedisSemanticCache(similarity_threshold=0.8)
+        redis_semantic_cache.llmcache.store = MagicMock()
+
+        redis_semantic_cache.set_cache(
+            key="test_key",
+            value={"content": "Paris"},
+            messages=[{"content": "What is the capital of France?"}],
+            ttl=60,
+        )
+
+        redis_semantic_cache.llmcache.store.assert_called_once_with(
+            "What is the capital of France?",
+            "{'content': 'Paris'}",
+            filters={RedisSemanticCache.CACHE_KEY_FIELD_NAME: "test_key"},
+            ttl=60,
+        )
+
+
+def test_redis_semantic_cache_uses_isolated_index_for_old_schema(monkeypatch):
+    fallback_cache_mock = MagicMock()
+    semantic_cache_mock = MagicMock(
+        side_effect=[
+            ValueError("stored index schema differs from requested fields"),
+            fallback_cache_mock,
+        ]
+    )
+    custom_vectorizer_mock = MagicMock()
+
+    with patch.dict(
+        "sys.modules",
+        {
+            "redisvl.extensions.llmcache": MagicMock(SemanticCache=semantic_cache_mock),
+            "redisvl.utils.vectorize": MagicMock(
+                CustomTextVectorizer=custom_vectorizer_mock
+            ),
+        },
+    ):
+        from litellm.caching.redis_semantic_cache import RedisSemanticCache
+
+        monkeypatch.setenv("REDIS_HOST", "localhost")
+        monkeypatch.setenv("REDIS_PORT", "6379")
+        monkeypatch.setenv("REDIS_PASSWORD", "test_password")
+
+        redis_semantic_cache = RedisSemanticCache(
+            similarity_threshold=0.8,
+            index_name="existing_index",
+        )
+
+        assert redis_semantic_cache.llmcache is fallback_cache_mock
+        assert semantic_cache_mock.call_args_list[0].kwargs["name"] == "existing_index"
+        assert (
+            semantic_cache_mock.call_args_list[1].kwargs["name"]
+            == "existing_index_isolated"
+        )
+        assert semantic_cache_mock.call_args_list[1].kwargs["filterable_fields"] == [
+            RedisSemanticCache._cache_key_filterable_field()
+        ]
+
+
+def test_redis_semantic_cache_overwrites_stale_isolated_index(monkeypatch):
+    fallback_cache_mock = MagicMock()
+    semantic_cache_mock = MagicMock(
+        side_effect=[
+            ValueError("Existing index schema does not match"),
+            ValueError("Existing index schema does not match"),
+            fallback_cache_mock,
+        ]
+    )
+    custom_vectorizer_mock = MagicMock()
+
+    with patch.dict(
+        "sys.modules",
+        {
+            "redisvl.extensions.llmcache": MagicMock(SemanticCache=semantic_cache_mock),
+            "redisvl.utils.vectorize": MagicMock(
+                CustomTextVectorizer=custom_vectorizer_mock
+            ),
+        },
+    ):
+        from litellm.caching.redis_semantic_cache import RedisSemanticCache
+
+        monkeypatch.setenv("REDIS_HOST", "localhost")
+        monkeypatch.setenv("REDIS_PORT", "6379")
+        monkeypatch.setenv("REDIS_PASSWORD", "test_password")
+
+        redis_semantic_cache = RedisSemanticCache(
+            similarity_threshold=0.8,
+            index_name="existing_index",
+        )
+
+        assert redis_semantic_cache.llmcache is fallback_cache_mock
+        assert (
+            semantic_cache_mock.call_args_list[2].kwargs["name"]
+            == "existing_index_isolated"
+        )
+        assert semantic_cache_mock.call_args_list[2].kwargs["overwrite"] is True
+        assert semantic_cache_mock.call_args_list[2].kwargs["filterable_fields"] == [
+            RedisSemanticCache._cache_key_filterable_field()
+        ]
+
+
+def test_redis_semantic_cache_reraises_unexpected_isolated_index_error(monkeypatch):
+    semantic_cache_mock = MagicMock(
+        side_effect=[
+            ValueError("Existing index schema does not match"),
+            ValueError("connection failed"),
+        ]
+    )
+    custom_vectorizer_mock = MagicMock()
+
+    with patch.dict(
+        "sys.modules",
+        {
+            "redisvl.extensions.llmcache": MagicMock(SemanticCache=semantic_cache_mock),
+            "redisvl.utils.vectorize": MagicMock(
+                CustomTextVectorizer=custom_vectorizer_mock
+            ),
+        },
+    ):
+        from litellm.caching.redis_semantic_cache import RedisSemanticCache
+
+        monkeypatch.setenv("REDIS_HOST", "localhost")
+        monkeypatch.setenv("REDIS_PORT", "6379")
+        monkeypatch.setenv("REDIS_PASSWORD", "test_password")
+
+        with pytest.raises(ValueError, match="connection failed"):
+            RedisSemanticCache(
+                similarity_threshold=0.8,
+                index_name="existing_index",
+            )
+
+
+def test_redis_semantic_cache_reraises_unexpected_index_error():
+    from litellm.caching.redis_semantic_cache import RedisSemanticCache
+
+    redis_semantic_cache = RedisSemanticCache.__new__(RedisSemanticCache)
+    redis_semantic_cache.distance_threshold = 0.2
+    semantic_cache_mock = MagicMock(side_effect=ValueError("connection failed"))
+
+    with pytest.raises(ValueError, match="connection failed"):
+        redis_semantic_cache._init_semantic_cache(
+            semantic_cache_cls=semantic_cache_mock,
+            index_name="existing_index",
+            redis_url="redis://localhost:6379",
+            cache_vectorizer=MagicMock(),
+        )
+
+
+def test_redis_semantic_cache_matches_bytes_cache_key():
+    from litellm.caching.redis_semantic_cache import RedisSemanticCache
+
+    redis_semantic_cache = RedisSemanticCache.__new__(RedisSemanticCache)
+
+    assert redis_semantic_cache._cache_hit_matches_key(
+        cache_hit={RedisSemanticCache.CACHE_KEY_FIELD_NAME: b"test_key"},
+        key="test_key",
+    )
+
+
+def test_redis_semantic_cache_rejects_pre_isolation_unscoped_hit():
+    """Pre-isolation entries with no cache-key field cannot be safely
+    reassigned to a caller's scope and are treated as misses."""
+    from litellm.caching.redis_semantic_cache import RedisSemanticCache
+
+    redis_semantic_cache = RedisSemanticCache.__new__(RedisSemanticCache)
+
+    cache_hit = {
+        "prompt": "What is the capital of France?",
+        "response": '{"content": "Paris"}',
+        "vector_distance": 0.1,
+    }
+    assert not redis_semantic_cache._cache_hit_matches_key(
+        cache_hit=cache_hit,
+        key="test_key",
+    )
+
+
+def test_redis_semantic_cache_builds_filter_expression(monkeypatch):
+    class FakeTag:
+        def __init__(self, field_name):
+            self.field_name = field_name
+
+        def __eq__(self, value):
+            return (self.field_name, value)
+
+    with patch.dict("sys.modules", {"redisvl.query.filter": MagicMock(Tag=FakeTag)}):
+        from litellm.caching.redis_semantic_cache import RedisSemanticCache
+
+        redis_semantic_cache = RedisSemanticCache.__new__(RedisSemanticCache)
+
+        assert redis_semantic_cache._get_cache_key_filter_expression("test_key") == (
+            RedisSemanticCache.CACHE_KEY_FIELD_NAME,
+            "test_key",
+        )
 
 
 @pytest.mark.asyncio
@@ -123,6 +400,7 @@ async def test_redis_semantic_cache_async_get_cache(monkeypatch):
                 "prompt": "What is the capital of France?",
                 "response": '{"content": "Paris is the capital of France."}',
                 "vector_distance": 0.1,  # Distance of 0.1 means similarity of 0.9
+                RedisSemanticCache.CACHE_KEY_FIELD_NAME: "test_key",
             }
         ]
 
@@ -131,16 +409,117 @@ async def test_redis_semantic_cache_async_get_cache(monkeypatch):
             return_value=[0.1, 0.2, 0.3]
         )
 
-        # Test async_get_cache with a message
-        result = await redis_semantic_cache.async_get_cache(
-            key="test_key",
-            messages=[{"content": "What is the capital of France?"}],
-            metadata={},
-        )
+        with patch.object(
+            redis_semantic_cache,
+            "_get_cache_key_filter_expression",
+            return_value="cache-key-filter",
+        ):
+            # Test async_get_cache with a message
+            result = await redis_semantic_cache.async_get_cache(
+                key="test_key",
+                messages=[{"content": "What is the capital of France?"}],
+                metadata={},
+            )
 
         # Verify result is properly parsed
         assert result == {"content": "Paris is the capital of France."}
 
         # Verify methods were called
         redis_semantic_cache._get_async_embedding.assert_called_once()
-        redis_semantic_cache.llmcache.acheck.assert_called_once()
+        redis_semantic_cache.llmcache.acheck.assert_called_once_with(
+            prompt="What is the capital of France?",
+            vector=[0.1, 0.2, 0.3],
+            filter_expression="cache-key-filter",
+        )
+
+
+@pytest.mark.asyncio
+async def test_redis_semantic_cache_async_get_cache_rejects_unscoped_hit(monkeypatch):
+    semantic_cache_mock = MagicMock()
+    custom_vectorizer_mock = MagicMock()
+
+    with patch.dict(
+        "sys.modules",
+        {
+            "redisvl.extensions.llmcache": MagicMock(SemanticCache=semantic_cache_mock),
+            "redisvl.utils.vectorize": MagicMock(
+                CustomTextVectorizer=custom_vectorizer_mock
+            ),
+        },
+    ):
+        from litellm.caching.redis_semantic_cache import RedisSemanticCache
+
+        monkeypatch.setenv("REDIS_HOST", "localhost")
+        monkeypatch.setenv("REDIS_PORT", "6379")
+        monkeypatch.setenv("REDIS_PASSWORD", "test_password")
+
+        redis_semantic_cache = RedisSemanticCache(similarity_threshold=0.8)
+        redis_semantic_cache.llmcache.acheck = AsyncMock(
+            return_value=[
+                {
+                    "prompt": "What is the capital of France?",
+                    "response": '{"content": "Paris"}',
+                    "vector_distance": 0.1,
+                }
+            ]
+        )
+        redis_semantic_cache._get_async_embedding = AsyncMock(
+            return_value=[0.1, 0.2, 0.3]
+        )
+
+        with patch.object(
+            redis_semantic_cache,
+            "_get_cache_key_filter_expression",
+            return_value="cache-key-filter",
+        ):
+            result = await redis_semantic_cache.async_get_cache(
+                key="test_key",
+                messages=[{"content": "What is the capital of France?"}],
+                metadata={},
+            )
+
+        assert result is None
+
+
+@pytest.mark.asyncio
+async def test_redis_semantic_cache_async_set_cache_stores_cache_key_filter(
+    monkeypatch,
+):
+    semantic_cache_mock = MagicMock()
+    custom_vectorizer_mock = MagicMock()
+
+    with patch.dict(
+        "sys.modules",
+        {
+            "redisvl.extensions.llmcache": MagicMock(SemanticCache=semantic_cache_mock),
+            "redisvl.utils.vectorize": MagicMock(
+                CustomTextVectorizer=custom_vectorizer_mock
+            ),
+        },
+    ):
+        from litellm.caching.redis_semantic_cache import RedisSemanticCache
+
+        monkeypatch.setenv("REDIS_HOST", "localhost")
+        monkeypatch.setenv("REDIS_PORT", "6379")
+        monkeypatch.setenv("REDIS_PASSWORD", "test_password")
+
+        redis_semantic_cache = RedisSemanticCache(similarity_threshold=0.8)
+        redis_semantic_cache.llmcache.astore = AsyncMock()
+        redis_semantic_cache._get_async_embedding = AsyncMock(
+            return_value=[0.1, 0.2, 0.3]
+        )
+
+        await redis_semantic_cache.async_set_cache(
+            key="test_key",
+            value={"content": "Paris"},
+            messages=[{"content": "What is the capital of France?"}],
+            ttl=60,
+        )
+
+        redis_semantic_cache.llmcache.astore.assert_called_once_with(
+            "What is the capital of France?",
+            "{'content': 'Paris'}",
+            vector=[0.1, 0.2, 0.3],
+            filters={RedisSemanticCache.CACHE_KEY_FIELD_NAME: "test_key"},
+            ttl=60,
+        )
diff --git a/tests/test_litellm/containers/test_azure_container_transformation.py b/tests/test_litellm/containers/test_azure_container_transformation.py
index 32caaaffef5..70181f6f03d 100644
--- a/tests/test_litellm/containers/test_azure_container_transformation.py
+++ b/tests/test_litellm/containers/test_azure_container_transformation.py
@@ -1,6 +1,6 @@
 import os
 import sys
-from unittest.mock import MagicMock
+from unittest.mock import AsyncMock, MagicMock
 from urllib.parse import parse_qs, urlparse
 
 import httpx
@@ -13,7 +13,6 @@ from litellm.llms.azure.containers.transformation import AzureContainerConfig
 from litellm.llms.base_llm.containers.transformation import BaseContainerConfig
 from litellm.responses.utils import ResponsesAPIRequestUtils
 from litellm.types.containers.main import (
-    ContainerFileListResponse,
     ContainerListResponse,
     ContainerObject,
     DeleteContainerResult,
@@ -544,7 +543,7 @@ class TestAzureContainerKnownFailureRegressions:
         assert isinstance(c1, AzureContainerConfig)
 
     @pytest.mark.asyncio
-    async def test_proxy_process_request_preserves_managed_container_id(
+    async def test_proxy_process_request_forwards_decoded_container_id(
         self, monkeypatch
     ):
         from starlette.requests import Request
@@ -579,6 +578,12 @@ class TestAzureContainerKnownFailureRegressions:
             "base_process_llm_request",
             _mock_base_process_llm_request,
         )
+        access_check = AsyncMock(return_value=("cntr_123", "azure"))
+        monkeypatch.setattr(
+            handler_factory,
+            "assert_user_can_access_container",
+            access_check,
+        )
 
         request = Request(
             {
@@ -599,10 +604,12 @@ class TestAzureContainerKnownFailureRegressions:
             path_params={"container_id": encoded_id},
         )
 
+        access_check.assert_awaited_once()
+        assert access_check.await_args.kwargs["container_id"] == encoded_id
         assert captured["route_type"] == "alist_container_files"
-        assert captured["data"]["container_id"] == encoded_id
-        assert captured["data"]["custom_llm_provider"] == "openai"
-        assert "model_id" not in captured["data"]
+        assert captured["data"]["container_id"] == "cntr_123"
+        assert captured["data"]["custom_llm_provider"] == "azure"
+        assert captured["data"]["model_id"] == "model_abc123"
         assert "api_base" not in captured["data"]
 
     @pytest.mark.asyncio
@@ -643,6 +650,12 @@ class TestAzureContainerKnownFailureRegressions:
             "base_process_llm_request",
             _mock_base_process_llm_request,
         )
+        access_check = AsyncMock(return_value=("cntr_123", "azure"))
+        monkeypatch.setattr(
+            handler_factory,
+            "assert_user_can_access_container",
+            access_check,
+        )
 
         request = Request(
             {
@@ -663,10 +676,13 @@ class TestAzureContainerKnownFailureRegressions:
             user_api_key_dict=MagicMock(),
         )
 
+        access_check.assert_awaited_once()
+        assert access_check.await_args.kwargs["container_id"] == encoded_id
         assert captured["route_type"] == "aretrieve_container_file_content"
-        assert captured["data"]["container_id"] == encoded_id
+        assert captured["data"]["container_id"] == "cntr_123"
         assert captured["data"]["file_id"] == "cfile_abc"
-        assert captured["data"]["custom_llm_provider"] == "openai"
+        assert captured["data"]["custom_llm_provider"] == "azure"
+        assert captured["data"]["model_id"] == "model_abc123"
         assert response.status_code == 200
         assert response.body == b"csv-bytes"
         assert response.headers["x-litellm-call-id"] == "call-123"
@@ -723,6 +739,12 @@ class TestAzureContainerKnownFailureRegressions:
             "base_process_llm_request",
             _mock_base_process_llm_request,
         )
+        access_check = AsyncMock(return_value=("cntr_123", "azure"))
+        monkeypatch.setattr(
+            handler_factory,
+            "assert_user_can_access_container",
+            access_check,
+        )
 
         request = Request(
             {
@@ -742,6 +764,9 @@ class TestAzureContainerKnownFailureRegressions:
             container_id=encoded_id,
         )
 
+        access_check.assert_awaited_once()
+        assert access_check.await_args.kwargs["container_id"] == encoded_id
         assert captured["route_type"] == "aupload_container_file"
-        assert captured["data"]["container_id"] == encoded_id
-        assert captured["data"]["custom_llm_provider"] == "openai"
+        assert captured["data"]["container_id"] == "cntr_123"
+        assert captured["data"]["custom_llm_provider"] == "azure"
+        assert captured["data"]["model_id"] == "model_abc123"
diff --git a/tests/test_litellm/containers/test_container_proxy_ownership.py b/tests/test_litellm/containers/test_container_proxy_ownership.py
new file mode 100644
index 00000000000..c295805bdb3
--- /dev/null
+++ b/tests/test_litellm/containers/test_container_proxy_ownership.py
@@ -0,0 +1,915 @@
+import sys
+from types import SimpleNamespace
+from unittest.mock import AsyncMock
+
+import pytest
+from fastapi import HTTPException
+
+from litellm.proxy._types import LitellmUserRoles, UserAPIKeyAuth
+from litellm.proxy.container_endpoints import ownership
+from litellm.responses.utils import ResponsesAPIRequestUtils
+from litellm.types.containers.main import ContainerListResponse, ContainerObject
+
+
+@pytest.fixture(autouse=True)
+def clear_container_owner_cache():
+    for cache in (
+        ownership._CONTAINER_OWNER_CACHE,
+        ownership._ALLOWED_CONTAINER_IDS_CACHE,
+    ):
+        cache.cache_dict.clear()
+        cache.ttl_dict.clear()
+    yield
+    for cache in (
+        ownership._CONTAINER_OWNER_CACHE,
+        ownership._ALLOWED_CONTAINER_IDS_CACHE,
+    ):
+        cache.cache_dict.clear()
+        cache.ttl_dict.clear()
+
+
+def _container(container_id: str) -> ContainerObject:
+    return ContainerObject(
+        id=container_id,
+        object="container",
+        created_at=1,
+        status="active",
+    )
+
+
+@pytest.mark.asyncio
+async def test_should_record_container_owner_with_original_provider_id(monkeypatch):
+    table = AsyncMock()
+    table.find_unique.return_value = None
+    prisma_client = SimpleNamespace(
+        db=SimpleNamespace(litellm_managedobjecttable=table)
+    )
+    monkeypatch.setattr(
+        ownership,
+        "_get_prisma_client",
+        AsyncMock(return_value=prisma_client),
+    )
+    auth = UserAPIKeyAuth(user_id="user-1")
+
+    response = _container("cntr_provider")
+
+    await ownership.record_container_owner(
+        response=response,
+        user_api_key_dict=auth,
+        custom_llm_provider="openai",
+    )
+
+    table.create.assert_awaited_once()
+    data = table.create.await_args.kwargs["data"]
+    assert data["model_object_id"] == "container:openai:cntr_provider"
+    assert data["file_purpose"] == ownership.CONTAINER_OBJECT_PURPOSE
+    assert data["created_by"] == "user-1"
+
+
+@pytest.mark.asyncio
+async def test_should_not_mutate_dict_container_response_when_recording_owner(
+    monkeypatch,
+):
+    table = AsyncMock()
+    table.find_unique.return_value = None
+    prisma_client = SimpleNamespace(
+        db=SimpleNamespace(litellm_managedobjecttable=table)
+    )
+    monkeypatch.setattr(
+        ownership,
+        "_get_prisma_client",
+        AsyncMock(return_value=prisma_client),
+    )
+    auth = UserAPIKeyAuth(user_id="user-1")
+    response = {"id": "cntr_provider", "object": "container"}
+
+    returned = await ownership.record_container_owner(
+        response=response,
+        user_api_key_dict=auth,
+        custom_llm_provider="openai",
+    )
+
+    assert returned == {"id": "cntr_provider", "object": "container"}
+    data = table.create.await_args.kwargs["data"]
+    assert data["file_object"]["custom_llm_provider"] == "openai"
+    assert data["file_object"]["provider_container_id"] == "cntr_provider"
+
+
+@pytest.mark.asyncio
+async def test_should_record_team_owner_for_keys_without_user_id(monkeypatch):
+    table = AsyncMock()
+    table.find_unique.return_value = None
+    prisma_client = SimpleNamespace(
+        db=SimpleNamespace(litellm_managedobjecttable=table)
+    )
+    monkeypatch.setattr(
+        ownership,
+        "_get_prisma_client",
+        AsyncMock(return_value=prisma_client),
+    )
+    auth = UserAPIKeyAuth(team_id="team-1")
+
+    await ownership.record_container_owner(
+        response=_container("cntr_provider"),
+        user_api_key_dict=auth,
+        custom_llm_provider="openai",
+    )
+
+    data = table.create.await_args.kwargs["data"]
+    assert data["created_by"] == "team:team-1"
+    assert data["updated_by"] == "team:team-1"
+
+
+@pytest.mark.asyncio
+async def test_should_record_token_owner_for_keys_without_user_team_or_org(monkeypatch):
+    table = AsyncMock()
+    table.find_unique.return_value = None
+    prisma_client = SimpleNamespace(
+        db=SimpleNamespace(litellm_managedobjecttable=table)
+    )
+    monkeypatch.setattr(
+        ownership,
+        "_get_prisma_client",
+        AsyncMock(return_value=prisma_client),
+    )
+    auth = UserAPIKeyAuth(token="hashed-token")
+
+    await ownership.record_container_owner(
+        response=_container("cntr_provider"),
+        user_api_key_dict=auth,
+        custom_llm_provider="openai",
+    )
+
+    data = table.create.await_args.kwargs["data"]
+    assert data["created_by"] == "key:hashed-token"
+    assert data["updated_by"] == "key:hashed-token"
+
+
+@pytest.mark.asyncio
+async def test_should_reject_record_for_identityless_proxy_auth(monkeypatch):
+    """Identity-less callers (no user_id / team_id / org_id / api_key /
+    token) cannot record ownership — stamping a shared sentinel would let
+    any two such callers see each other's containers."""
+    from fastapi import HTTPException
+
+    monkeypatch.setattr(
+        ownership,
+        "_get_prisma_client",
+        AsyncMock(return_value=None),
+    )
+    auth = UserAPIKeyAuth()
+
+    with pytest.raises(HTTPException) as exc:
+        await ownership.record_container_owner(
+            response=_container("cntr_provider"),
+            user_api_key_dict=auth,
+            custom_llm_provider="openai",
+        )
+    assert exc.value.status_code == 403
+    assert "identity scope" in str(exc.value.detail)
+
+
+@pytest.mark.asyncio
+async def test_should_skip_owner_record_when_provider_response_has_no_id(monkeypatch):
+    table = AsyncMock()
+    prisma_client = SimpleNamespace(
+        db=SimpleNamespace(litellm_managedobjecttable=table)
+    )
+    monkeypatch.setattr(
+        ownership,
+        "_get_prisma_client",
+        AsyncMock(return_value=prisma_client),
+    )
+    response = {"object": "container"}
+
+    returned = await ownership.record_container_owner(
+        response=response,
+        user_api_key_dict=UserAPIKeyAuth(user_id="user-1"),
+        custom_llm_provider="openai",
+    )
+
+    assert returned == response
+    table.find_unique.assert_not_awaited()
+    table.create.assert_not_awaited()
+
+
+@pytest.mark.asyncio
+async def test_should_deny_untracked_container_access_by_default(monkeypatch):
+    monkeypatch.setattr(
+        ownership,
+        "_get_prisma_client",
+        AsyncMock(return_value=None),
+    )
+    auth = UserAPIKeyAuth(user_id="user-1")
+
+    with pytest.raises(HTTPException) as exc:
+        await ownership.assert_user_can_access_container(
+            container_id="cntr_untracked",
+            user_api_key_dict=auth,
+            custom_llm_provider="openai",
+        )
+
+    assert exc.value.status_code == 403
+
+
+@pytest.mark.asyncio
+async def test_should_not_reassign_existing_container_to_different_owner(monkeypatch):
+    table = AsyncMock()
+    table.find_unique.return_value = SimpleNamespace(
+        file_purpose=ownership.CONTAINER_OBJECT_PURPOSE,
+        created_by="user-2",
+    )
+    prisma_client = SimpleNamespace(
+        db=SimpleNamespace(litellm_managedobjecttable=table)
+    )
+    monkeypatch.setattr(
+        ownership,
+        "_get_prisma_client",
+        AsyncMock(return_value=prisma_client),
+    )
+    auth = UserAPIKeyAuth(user_id="user-1")
+
+    with pytest.raises(HTTPException) as exc:
+        await ownership.record_container_owner(
+            response=_container("cntr_existing"),
+            user_api_key_dict=auth,
+            custom_llm_provider="openai",
+        )
+
+    assert exc.value.status_code == 403
+    table.update.assert_not_awaited()
+
+
+@pytest.mark.asyncio
+async def test_should_filter_container_list_to_owned_records(monkeypatch):
+    table = AsyncMock()
+    table.find_many.return_value = [
+        SimpleNamespace(model_object_id="container:openai:cntr_owned"),
+    ]
+    prisma_client = SimpleNamespace(
+        db=SimpleNamespace(litellm_managedobjecttable=table)
+    )
+    monkeypatch.setattr(
+        ownership,
+        "_get_prisma_client",
+        AsyncMock(return_value=prisma_client),
+    )
+    auth = UserAPIKeyAuth(user_id="user-1")
+    response = ContainerListResponse(
+        object="list",
+        data=[_container("cntr_owned"), _container("cntr_other")],
+        has_more=True,
+    )
+
+    filtered = await ownership.filter_container_list_response(
+        response=response,
+        user_api_key_dict=auth,
+        custom_llm_provider="openai",
+    )
+
+    assert [item.id for item in filtered.data] == ["cntr_owned"]
+    assert filtered.first_id == "cntr_owned"
+    assert filtered.last_id == "cntr_owned"
+    assert filtered.has_more is False
+    where = table.find_many.await_args.kwargs["where"]
+    assert where["file_purpose"] == ownership.CONTAINER_OBJECT_PURPOSE
+    assert where["created_by"]["in"] == ["user-1", "user:user-1"]
+
+
+@pytest.mark.asyncio
+async def test_should_clear_has_more_when_filtered_container_list_is_empty(
+    monkeypatch,
+):
+    table = AsyncMock()
+    table.find_many.return_value = [
+        SimpleNamespace(model_object_id="container:openai:cntr_owned"),
+    ]
+    prisma_client = SimpleNamespace(
+        db=SimpleNamespace(litellm_managedobjecttable=table)
+    )
+    monkeypatch.setattr(
+        ownership,
+        "_get_prisma_client",
+        AsyncMock(return_value=prisma_client),
+    )
+    auth = UserAPIKeyAuth(user_id="user-1")
+    response = ContainerListResponse(
+        object="list",
+        data=[_container("cntr_other")],
+        has_more=True,
+    )
+
+    filtered = await ownership.filter_container_list_response(
+        response=response,
+        user_api_key_dict=auth,
+        custom_llm_provider="openai",
+    )
+
+    assert filtered.data == []
+    assert filtered.first_id is None
+    assert filtered.last_id is None
+    assert filtered.has_more is False
+
+
+@pytest.mark.asyncio
+async def test_should_clear_dict_has_more_when_filtered_container_list_is_empty(
+    monkeypatch,
+):
+    table = AsyncMock()
+    table.find_many.return_value = [
+        SimpleNamespace(model_object_id="container:openai:cntr_owned"),
+    ]
+    prisma_client = SimpleNamespace(
+        db=SimpleNamespace(litellm_managedobjecttable=table)
+    )
+    monkeypatch.setattr(
+        ownership,
+        "_get_prisma_client",
+        AsyncMock(return_value=prisma_client),
+    )
+    auth = UserAPIKeyAuth(user_id="user-1")
+    response = {
+        "object": "list",
+        "data": [{"id": "cntr_other"}],
+        "has_more": True,
+    }
+
+    filtered = await ownership.filter_container_list_response(
+        response=response,
+        user_api_key_dict=auth,
+        custom_llm_provider="openai",
+    )
+
+    assert filtered["data"] == []
+    assert filtered["first_id"] is None
+    assert filtered["last_id"] is None
+    assert filtered["has_more"] is False
+
+
+@pytest.mark.asyncio
+async def test_should_validate_owner_and_forward_decoded_id_for_multipart_upload(
+    monkeypatch,
+):
+    from litellm.proxy.common_utils import http_parsing_utils
+    from litellm.proxy.container_endpoints import handler_factory
+
+    proxy_server_stub = SimpleNamespace(
+        general_settings={},
+        llm_router=None,
+        proxy_config=None,
+        proxy_logging_obj=None,
+        select_data_generator=None,
+        user_api_base=None,
+        user_max_tokens=None,
+        user_model=None,
+        user_request_timeout=None,
+        user_temperature=None,
+        version="test",
+    )
+    monkeypatch.setitem(sys.modules, "litellm.proxy.proxy_server", proxy_server_stub)
+
+    captured = {}
+
+    class FakeProcessor:
+        def __init__(self, data):
+            captured["data"] = data
+
+        async def base_process_llm_request(self, **kwargs):
+            return captured["data"]
+
+        async def _handle_llm_api_exception(self, **kwargs):
+            raise kwargs["e"]
+
+    monkeypatch.setattr(
+        handler_factory,
+        "ProxyBaseLLMRequestProcessing",
+        FakeProcessor,
+    )
+    access_check = AsyncMock(return_value=("cntr_provider", "azure"))
+    monkeypatch.setattr(
+        handler_factory,
+        "assert_user_can_access_container",
+        access_check,
+    )
+    monkeypatch.setattr(
+        http_parsing_utils,
+        "get_form_data",
+        AsyncMock(return_value={}),
+    )
+    monkeypatch.setattr(
+        http_parsing_utils,
+        "convert_upload_files_to_file_data",
+        AsyncMock(return_value={"file": ["file-data"]}),
+    )
+    encoded_id = ResponsesAPIRequestUtils._build_container_id(
+        custom_llm_provider="azure",
+        model_id="router-gpt",
+        container_id="cntr_provider",
+    )
+
+    result = await handler_factory._process_multipart_upload_request(
+        request=SimpleNamespace(query_params={}, headers={}),
+        fastapi_response=SimpleNamespace(),
+        user_api_key_dict=UserAPIKeyAuth(user_id="user-1"),
+        route_type="aupload_container_file",
+        container_id=encoded_id,
+    )
+
+    access_check.assert_awaited_once()
+    assert access_check.await_args.kwargs["container_id"] == encoded_id
+    assert result["container_id"] == "cntr_provider"
+    assert result["custom_llm_provider"] == "azure"
+    assert result["model_id"] == "router-gpt"
+    assert result["file"] == "file-data"
+
+
+@pytest.mark.asyncio
+async def test_should_forward_decoded_container_id_for_proxy_retrieve(monkeypatch):
+    from litellm.proxy.container_endpoints import endpoints
+
+    proxy_server_stub = SimpleNamespace(
+        general_settings={},
+        llm_router=None,
+        proxy_config=None,
+        proxy_logging_obj=None,
+        select_data_generator=None,
+        user_api_base=None,
+        user_max_tokens=None,
+        user_model=None,
+        user_request_timeout=None,
+        user_temperature=None,
+        version="test",
+    )
+    monkeypatch.setitem(sys.modules, "litellm.proxy.proxy_server", proxy_server_stub)
+
+    captured = {}
+
+    class FakeProcessor:
+        def __init__(self, data):
+            captured["data"] = data
+
+        async def base_process_llm_request(self, **kwargs):
+            return captured["data"]
+
+        async def _handle_llm_api_exception(self, **kwargs):
+            raise kwargs["e"]
+
+    monkeypatch.setattr(endpoints, "ProxyBaseLLMRequestProcessing", FakeProcessor)
+    monkeypatch.setattr(
+        endpoints,
+        "assert_user_can_access_container",
+        AsyncMock(return_value=("cntr_provider", "azure")),
+    )
+    encoded_id = ResponsesAPIRequestUtils._build_container_id(
+        custom_llm_provider="azure",
+        model_id="router-gpt",
+        container_id="cntr_provider",
+    )
+
+    result = await endpoints.retrieve_container(
+        request=SimpleNamespace(query_params={}, headers={}),
+        container_id=encoded_id,
+        fastapi_response=SimpleNamespace(),
+        user_api_key_dict=UserAPIKeyAuth(user_id="user-1"),
+    )
+
+    assert result["container_id"] == "cntr_provider"
+    assert result["custom_llm_provider"] == "azure"
+    assert result["model_id"] == "router-gpt"
+
+
+@pytest.mark.asyncio
+async def test_should_record_container_owner_inside_create_endpoint(monkeypatch):
+    from litellm.proxy.container_endpoints import endpoints
+
+    proxy_server_stub = SimpleNamespace(
+        general_settings={},
+        llm_router=None,
+        proxy_config=None,
+        proxy_logging_obj=None,
+        select_data_generator=None,
+        user_api_base=None,
+        user_max_tokens=None,
+        user_model=None,
+        user_request_timeout=None,
+        user_temperature=None,
+        version="test",
+    )
+    monkeypatch.setitem(sys.modules, "litellm.proxy.proxy_server", proxy_server_stub)
+
+    response = _container("cntr_provider")
+
+    class FakeProcessor:
+        def __init__(self, data):
+            pass
+
+        async def base_process_llm_request(self, **kwargs):
+            return response
+
+        async def _handle_llm_api_exception(self, **kwargs):
+            raise kwargs["e"]
+
+    record_owner = AsyncMock(return_value=response)
+    monkeypatch.setattr(endpoints, "ProxyBaseLLMRequestProcessing", FakeProcessor)
+    monkeypatch.setattr(endpoints, "record_container_owner", record_owner)
+
+    result = await endpoints.create_container(
+        request=SimpleNamespace(
+            query_params={},
+            headers={},
+            json=AsyncMock(return_value={}),
+            body=AsyncMock(return_value=b"{}"),
+        ),
+        fastapi_response=SimpleNamespace(),
+        user_api_key_dict=UserAPIKeyAuth(user_id="user-1"),
+    )
+
+    assert result == response
+    record_owner.assert_awaited_once_with(
+        response=response,
+        user_api_key_dict=UserAPIKeyAuth(user_id="user-1"),
+        custom_llm_provider="openai",
+    )
+
+
+@pytest.mark.asyncio
+async def test_should_not_route_owner_record_errors_through_llm_error_handler(
+    monkeypatch,
+):
+    from litellm.proxy.container_endpoints import endpoints
+
+    proxy_server_stub = SimpleNamespace(
+        general_settings={},
+        llm_router=None,
+        proxy_config=None,
+        proxy_logging_obj=None,
+        select_data_generator=None,
+        user_api_base=None,
+        user_max_tokens=None,
+        user_model=None,
+        user_request_timeout=None,
+        user_temperature=None,
+        version="test",
+    )
+    monkeypatch.setitem(sys.modules, "litellm.proxy.proxy_server", proxy_server_stub)
+
+    class FakeProcessor:
+        def __init__(self, data):
+            pass
+
+        async def base_process_llm_request(self, **kwargs):
+            return _container("cntr_provider")
+
+        async def _handle_llm_api_exception(self, **kwargs):
+            raise AssertionError("ownership errors should not use LLM error handler")
+
+    monkeypatch.setattr(endpoints, "ProxyBaseLLMRequestProcessing", FakeProcessor)
+    monkeypatch.setattr(
+        endpoints,
+        "record_container_owner",
+        AsyncMock(side_effect=HTTPException(status_code=403, detail="Forbidden")),
+    )
+
+    with pytest.raises(HTTPException) as exc:
+        await endpoints.create_container(
+            request=SimpleNamespace(
+                query_params={},
+                headers={},
+                json=AsyncMock(return_value={}),
+                body=AsyncMock(return_value=b"{}"),
+            ),
+            fastapi_response=SimpleNamespace(),
+            user_api_key_dict=UserAPIKeyAuth(user_id="user-1"),
+        )
+
+    assert exc.value.status_code == 403
+
+
+@pytest.mark.asyncio
+async def test_should_return_response_when_owner_recording_raises_unexpected(
+    monkeypatch,
+):
+    """If record_container_owner raises a non-HTTPException after upstream create,
+    the upstream container exists but is untracked. The caller still gets the
+    response (not a 500) so they aren't billed for an unusable resource — an
+    operator reconciles via logs.
+    """
+    from litellm.proxy.container_endpoints import endpoints
+
+    proxy_server_stub = SimpleNamespace(
+        general_settings={},
+        llm_router=None,
+        proxy_config=None,
+        proxy_logging_obj=None,
+        select_data_generator=None,
+        user_api_base=None,
+        user_max_tokens=None,
+        user_model=None,
+        user_request_timeout=None,
+        user_temperature=None,
+        version="test",
+    )
+    monkeypatch.setitem(sys.modules, "litellm.proxy.proxy_server", proxy_server_stub)
+
+    created = _container("cntr_provider")
+
+    class FakeProcessor:
+        def __init__(self, data):
+            pass
+
+        async def base_process_llm_request(self, **kwargs):
+            return created
+
+        async def _handle_llm_api_exception(self, **kwargs):
+            raise AssertionError("upstream-create errors only")
+
+    monkeypatch.setattr(endpoints, "ProxyBaseLLMRequestProcessing", FakeProcessor)
+    monkeypatch.setattr(
+        endpoints,
+        "record_container_owner",
+        AsyncMock(side_effect=RuntimeError("transient db blip")),
+    )
+
+    response = await endpoints.create_container(
+        request=SimpleNamespace(
+            query_params={},
+            headers={},
+            json=AsyncMock(return_value={}),
+            body=AsyncMock(return_value=b"{}"),
+        ),
+        fastapi_response=SimpleNamespace(),
+        user_api_key_dict=UserAPIKeyAuth(user_id="user-1"),
+    )
+
+    assert response is created
+
+
+@pytest.mark.asyncio
+async def test_should_filter_container_list_inside_list_endpoint(monkeypatch):
+    from litellm.proxy.container_endpoints import endpoints
+
+    proxy_server_stub = SimpleNamespace(
+        general_settings={},
+        llm_router=None,
+        proxy_config=None,
+        proxy_logging_obj=None,
+        select_data_generator=None,
+        user_api_base=None,
+        user_max_tokens=None,
+        user_model=None,
+        user_request_timeout=None,
+        user_temperature=None,
+        version="test",
+    )
+    monkeypatch.setitem(sys.modules, "litellm.proxy.proxy_server", proxy_server_stub)
+
+    response = ContainerListResponse(
+        object="list",
+        data=[_container("cntr_provider")],
+        has_more=False,
+    )
+
+    class FakeProcessor:
+        def __init__(self, data):
+            pass
+
+        async def base_process_llm_request(self, **kwargs):
+            return response
+
+        async def _handle_llm_api_exception(self, **kwargs):
+            raise kwargs["e"]
+
+    filter_response = AsyncMock(return_value=response)
+    monkeypatch.setattr(endpoints, "ProxyBaseLLMRequestProcessing", FakeProcessor)
+    monkeypatch.setattr(
+        endpoints,
+        "filter_container_list_response",
+        filter_response,
+    )
+
+    result = await endpoints.list_containers(
+        request=SimpleNamespace(query_params={}, headers={}),
+        fastapi_response=SimpleNamespace(),
+        user_api_key_dict=UserAPIKeyAuth(user_id="user-1"),
+    )
+
+    assert result == response
+    filter_response.assert_awaited_once_with(
+        response=response,
+        user_api_key_dict=UserAPIKeyAuth(user_id="user-1"),
+        custom_llm_provider="openai",
+    )
+
+
+@pytest.mark.asyncio
+async def test_should_forward_decoded_container_id_for_proxy_delete(monkeypatch):
+    from litellm.proxy.container_endpoints import endpoints
+
+    proxy_server_stub = SimpleNamespace(
+        general_settings={},
+        llm_router=None,
+        proxy_config=None,
+        proxy_logging_obj=None,
+        select_data_generator=None,
+        user_api_base=None,
+        user_max_tokens=None,
+        user_model=None,
+        user_request_timeout=None,
+        user_temperature=None,
+        version="test",
+    )
+    monkeypatch.setitem(sys.modules, "litellm.proxy.proxy_server", proxy_server_stub)
+
+    captured = {}
+
+    class FakeProcessor:
+        def __init__(self, data):
+            captured["data"] = data
+
+        async def base_process_llm_request(self, **kwargs):
+            return captured["data"]
+
+        async def _handle_llm_api_exception(self, **kwargs):
+            raise kwargs["e"]
+
+    monkeypatch.setattr(endpoints, "ProxyBaseLLMRequestProcessing", FakeProcessor)
+    monkeypatch.setattr(
+        endpoints,
+        "assert_user_can_access_container",
+        AsyncMock(return_value=("cntr_provider", "azure")),
+    )
+    encoded_id = ResponsesAPIRequestUtils._build_container_id(
+        custom_llm_provider="azure",
+        model_id="router-gpt",
+        container_id="cntr_provider",
+    )
+
+    result = await endpoints.delete_container(
+        request=SimpleNamespace(query_params={}, headers={}),
+        container_id=encoded_id,
+        fastapi_response=SimpleNamespace(),
+        user_api_key_dict=UserAPIKeyAuth(user_id="user-1"),
+    )
+
+    assert result["container_id"] == "cntr_provider"
+    assert result["custom_llm_provider"] == "azure"
+    assert result["model_id"] == "router-gpt"
+
+
+# ── Cache layer ────────────────────────────────────────────────────────────
+
+
+@pytest.mark.asyncio
+async def test_get_container_owner_uses_cache_after_first_db_hit(monkeypatch):
+    """Repeated access checks within the TTL window must not hit the DB.
+
+    Greptile's P1 was that ownership reads issued a Prisma query on every
+    request. The cache here mirrors `_byok_cred_cache`: TTL'd, capped, and
+    invalidated on writes.
+    """
+    table = AsyncMock()
+    fake_row = SimpleNamespace(
+        created_by="user-1", file_purpose=ownership.CONTAINER_OBJECT_PURPOSE
+    )
+    table.find_first.return_value = fake_row
+    prisma_client = SimpleNamespace(
+        db=SimpleNamespace(litellm_managedobjecttable=table)
+    )
+    monkeypatch.setattr(
+        ownership,
+        "_get_prisma_client",
+        AsyncMock(return_value=prisma_client),
+    )
+
+    owner_first = await ownership._get_container_owner("cntr_x", "openai")
+    owner_second = await ownership._get_container_owner("cntr_x", "openai")
+    owner_third = await ownership._get_container_owner("cntr_x", "openai")
+
+    assert owner_first == "user-1"
+    assert owner_second == "user-1"
+    assert owner_third == "user-1"
+    # Single DB call across three reads — the cache absorbs the rest.
+    assert table.find_first.await_count == 1
+
+
+@pytest.mark.asyncio
+async def test_get_container_owner_caches_negative_lookups(monkeypatch):
+    """`None` (untracked) must also be cached so repeated misses don't query."""
+    table = AsyncMock()
+    table.find_first.return_value = None
+    prisma_client = SimpleNamespace(
+        db=SimpleNamespace(litellm_managedobjecttable=table)
+    )
+    monkeypatch.setattr(
+        ownership,
+        "_get_prisma_client",
+        AsyncMock(return_value=prisma_client),
+    )
+
+    assert await ownership._get_container_owner("cntr_x", "openai") is None
+    assert await ownership._get_container_owner("cntr_x", "openai") is None
+    assert table.find_first.await_count == 1
+
+
+@pytest.mark.asyncio
+async def test_allowed_container_ids_uses_cache_after_first_db_hit(monkeypatch):
+    """``GET /v1/containers`` filtering must not issue a fresh ``find_many``
+    on every list call within the cache TTL window."""
+    table = AsyncMock()
+    table.find_many.return_value = [
+        SimpleNamespace(model_object_id="container:openai:cntr_a"),
+    ]
+    prisma_client = SimpleNamespace(
+        db=SimpleNamespace(litellm_managedobjecttable=table)
+    )
+    monkeypatch.setattr(
+        ownership,
+        "_get_prisma_client",
+        AsyncMock(return_value=prisma_client),
+    )
+    auth = UserAPIKeyAuth(user_id="user-1")
+
+    first = await ownership._get_allowed_container_ids(auth)
+    second = await ownership._get_allowed_container_ids(auth)
+    third = await ownership._get_allowed_container_ids(auth)
+
+    assert first == {"container:openai:cntr_a"}
+    assert second == first
+    assert third == first
+    # Single DB call across three list filterings — the cache absorbs the rest.
+    assert table.find_many.await_count == 1
+
+
+@pytest.mark.asyncio
+async def test_record_container_owner_invalidates_caller_list_cache(monkeypatch):
+    """A just-created container must show up on the caller's next ``GET
+    /v1/containers`` — recording the owner has to drop the caller's
+    list-cache entry, otherwise the new container is invisible for up
+    to the cache TTL."""
+    table = AsyncMock()
+    table.find_unique.return_value = None
+    table.find_many.return_value = [
+        SimpleNamespace(model_object_id="container:openai:cntr_old"),
+    ]
+    prisma_client = SimpleNamespace(
+        db=SimpleNamespace(litellm_managedobjecttable=table)
+    )
+    monkeypatch.setattr(
+        ownership,
+        "_get_prisma_client",
+        AsyncMock(return_value=prisma_client),
+    )
+    auth = UserAPIKeyAuth(user_id="user-1")
+
+    # Prime the list cache.
+    await ownership._get_allowed_container_ids(auth)
+    assert table.find_many.await_count == 1
+
+    # Recording a new owner invalidates the caller's list-cache entry.
+    table.find_many.return_value = [
+        SimpleNamespace(model_object_id="container:openai:cntr_old"),
+        SimpleNamespace(model_object_id="container:openai:cntr_new"),
+    ]
+    await ownership.record_container_owner(
+        response=_container("cntr_new"),
+        user_api_key_dict=auth,
+        custom_llm_provider="openai",
+    )
+
+    # Next list call refreshes from DB and picks up the new container.
+    refreshed = await ownership._get_allowed_container_ids(auth)
+    assert "container:openai:cntr_new" in refreshed
+    assert table.find_many.await_count == 2
+
+
+@pytest.mark.asyncio
+async def test_admin_with_identity_records_container_ownership(monkeypatch):
+    """The admin early-return only short-circuits when there's literally no
+    container ID to stamp. An admin with identity (the master-key path
+    populates ``user_id`` + ``api_key``) creates an owned row like any
+    other caller, so admin-created containers aren't permanently
+    untracked."""
+    table = AsyncMock()
+    table.find_unique.return_value = None
+    prisma_client = SimpleNamespace(
+        db=SimpleNamespace(litellm_managedobjecttable=table)
+    )
+    monkeypatch.setattr(
+        ownership,
+        "_get_prisma_client",
+        AsyncMock(return_value=prisma_client),
+    )
+    admin_auth = UserAPIKeyAuth(
+        user_id="proxy-admin",
+        user_role=LitellmUserRoles.PROXY_ADMIN.value,
+    )
+
+    await ownership.record_container_owner(
+        response=_container("cntr_admin"),
+        user_api_key_dict=admin_auth,
+        custom_llm_provider="openai",
+    )
+
+    table.create.assert_awaited_once()
+    created_data = table.create.await_args.kwargs["data"]
+    assert created_data["created_by"] == "proxy-admin"
diff --git a/tests/test_litellm/enterprise/proxy/test_managed_files_access_check.py b/tests/test_litellm/enterprise/proxy/test_managed_files_access_check.py
index 8cb642b7a44..b87c8335316 100644
--- a/tests/test_litellm/enterprise/proxy/test_managed_files_access_check.py
+++ b/tests/test_litellm/enterprise/proxy/test_managed_files_access_check.py
@@ -31,7 +31,11 @@ def _make_unified_file_id() -> str:
     return base64.b64encode(raw.encode()).decode()
 
 
-def _make_managed_files_instance(file_created_by: str, unified_file_id: str):
+def _make_managed_files_instance(
+    file_created_by: str,
+    unified_file_id: str,
+    file_team_id=None,
+):
     """Create a _PROXY_LiteLLMManagedFiles with a mocked DB that returns a file owned by file_created_by."""
     from litellm_enterprise.proxy.hooks.managed_files import (
         _PROXY_LiteLLMManagedFiles,
@@ -39,6 +43,7 @@ def _make_managed_files_instance(file_created_by: str, unified_file_id: str):
 
     mock_db_record = MagicMock()
     mock_db_record.created_by = file_created_by
+    mock_db_record.team_id = file_team_id
 
     mock_prisma = MagicMock()
     mock_prisma.db.litellm_managedfiletable.find_first = AsyncMock(
@@ -105,6 +110,57 @@ async def test_should_block_default_user_id_access():
     assert exc_info.value.status_code == 403
 
 
+# --- Service-account isolation: created_by/team_id checks ---
+
+
+@pytest.mark.asyncio
+async def test_keyless_caller_cannot_access_keyless_file():
+    """A file created by a key without a user_id used to be accessible by
+    any other keyless caller because `None == None` was True."""
+    unified_file_id = _make_unified_file_id()
+    managed_files = _make_managed_files_instance(
+        file_created_by=None,
+        file_team_id=None,
+        unified_file_id=unified_file_id,
+    )
+    keyless = UserAPIKeyAuth(api_key="sk-test", parent_otel_span=None)
+    data = {"file_id": unified_file_id}
+
+    with pytest.raises(HTTPException) as exc_info:
+        await managed_files.check_managed_file_id_access(data, keyless)
+    assert exc_info.value.status_code == 403
+
+
+@pytest.mark.asyncio
+async def test_service_account_can_access_team_file():
+    unified_file_id = _make_unified_file_id()
+    managed_files = _make_managed_files_instance(
+        file_created_by=None,
+        file_team_id="team-eng",
+        unified_file_id=unified_file_id,
+    )
+    sa = UserAPIKeyAuth(api_key="sk-svc", team_id="team-eng", parent_otel_span=None)
+    data = {"file_id": unified_file_id}
+
+    assert await managed_files.check_managed_file_id_access(data, sa) is True
+
+
+@pytest.mark.asyncio
+async def test_service_account_blocked_from_other_team_file():
+    unified_file_id = _make_unified_file_id()
+    managed_files = _make_managed_files_instance(
+        file_created_by=None,
+        file_team_id="team-sales",
+        unified_file_id=unified_file_id,
+    )
+    sa = UserAPIKeyAuth(api_key="sk-svc", team_id="team-eng", parent_otel_span=None)
+    data = {"file_id": unified_file_id}
+
+    with pytest.raises(HTTPException) as exc_info:
+        await managed_files.check_managed_file_id_access(data, sa)
+    assert exc_info.value.status_code == 403
+
+
 # --- Option C fix test: check_batch_cost bypasses managed files hook ---
 
 
@@ -144,6 +200,7 @@ async def test_check_batch_cost_should_call_afile_content_directly_with_credenti
 
     # Mock the batch response (completed, with output file)
     from litellm.types.utils import LiteLLMBatch
+
     batch_response = LiteLLMBatch(
         id="batch-123",
         completion_window="24h",
@@ -201,9 +258,11 @@ async def test_check_batch_cost_should_call_afile_content_directly_with_credenti
 
         # Verify the DB update writes batch_processed, status, and file_object
         mock_prisma.db.litellm_managedobjecttable.update.assert_called_once()
-        update_call_kwargs = mock_prisma.db.litellm_managedobjecttable.update.call_args.kwargs
+        update_call_kwargs = (
+            mock_prisma.db.litellm_managedobjecttable.update.call_args.kwargs
+        )
         assert update_call_kwargs["data"]["batch_processed"] is True
         assert update_call_kwargs["data"]["status"] == "complete"
-        assert "file_object" in update_call_kwargs["data"], (
-            "file_object must be written to DB so list_batches reads updated status"
-        )
+        assert (
+            "file_object" in update_call_kwargs["data"]
+        ), "file_object must be written to DB so list_batches reads updated status"
diff --git a/tests/test_litellm/integrations/gcs_bucket/test_gcs_bucket_base.py b/tests/test_litellm/integrations/gcs_bucket/test_gcs_bucket_base.py
index d7b2a842bc0..a4e16500aee 100644
--- a/tests/test_litellm/integrations/gcs_bucket/test_gcs_bucket_base.py
+++ b/tests/test_litellm/integrations/gcs_bucket/test_gcs_bucket_base.py
@@ -1,5 +1,9 @@
 import os
-from unittest.mock import patch
+from unittest.mock import AsyncMock, MagicMock, patch
+
+import pytest
+
+from litellm.integrations.gcs_bucket.gcs_bucket import GCSBucketLogger
 from litellm.integrations.gcs_bucket.gcs_bucket_base import GCSBucketBase
 
 
@@ -86,3 +90,41 @@ class TestGCSBucketBase:
                 project_id=None,  # Should be None when no env var is set
                 custom_llm_provider="vertex_ai",
             )
+
+    @pytest.mark.asyncio
+    async def test_log_json_data_on_gcs_url_encodes_object_name(self):
+        handler = GCSBucketBase(bucket_name="test-bucket")
+        handler.async_httpx_client = AsyncMock()
+        mock_response = MagicMock()
+        mock_response.status_code = 200
+        mock_response.json.return_value = {"name": "logs/object"}
+        handler.async_httpx_client.post.return_value = mock_response
+
+        await handler._log_json_data_on_gcs(
+            headers={"Authorization": "Bearer token"},
+            bucket_name="test-bucket",
+            object_name="logs/object?uploadType=media&name=evil",
+            logging_payload={"ok": True},
+        )
+
+        post_url = handler.async_httpx_client.post.call_args.kwargs["url"]
+        assert "name=logs%2Fobject%3FuploadType%3Dmedia%26name%3Devil" in post_url
+        assert "name=logs/object?" not in post_url
+
+    def test_gcs_log_id_is_only_used_as_sanitized_hint(self):
+        logger = GCSBucketLogger.__new__(GCSBucketLogger)
+
+        object_name = logger._get_object_name(
+            kwargs={
+                "litellm_params": {
+                    "metadata": {"gcs_log_id": "../../target?uploadType=media"}
+                }
+            },
+            logging_payload={"id": "payload"},
+            response_obj={"id": "response-id"},
+        )
+
+        assert "/custom-" in object_name
+        assert object_name.endswith("-target_uploadType_media")
+        assert ".." not in object_name
+        assert "?" not in object_name
diff --git a/tests/test_litellm/integrations/test_langsmith_init.py b/tests/test_litellm/integrations/test_langsmith_init.py
index 14b861355b7..5d6b7c74690 100644
--- a/tests/test_litellm/integrations/test_langsmith_init.py
+++ b/tests/test_litellm/integrations/test_langsmith_init.py
@@ -6,9 +6,18 @@ import pytest
 
 sys.path.insert(0, os.path.abspath("../.."))
 
+import litellm
 from litellm.integrations.langsmith import LangsmithLogger
 
 
+@pytest.fixture
+def reset_redact_flag():
+    """Reset redact_user_api_key_info between tests so global state doesn't leak."""
+    original = litellm.redact_user_api_key_info
+    yield
+    litellm.redact_user_api_key_info = original
+
+
 class TestLangsmithLoggerInit:
     """Test cases for LangSmith logger initialization, particularly sampling rate handling.
 
@@ -263,3 +272,78 @@ class TestLangsmithPrepareLogData:
         assert um["input_tokens"] == 100
         assert um["output_tokens"] == 50
         assert um["total_tokens"] == 150
+
+
+class TestLangsmithRedactUserApiKeyInfo:
+    """Verify litellm.redact_user_api_key_info is honored for LangSmith."""
+
+    def _logger(self):
+        return LangsmithLogger(
+            langsmith_api_key="test-key",
+            langsmith_project="test-project",
+        )
+
+    def _metadata_with_user_api_key_fields(self):
+        return {
+            "user_api_key_hash": "abc123",
+            "user_api_key_alias": "engineer-key",
+            "user_api_key_user_id": "default_user_id",
+            "user_api_key_team_id": "team-uuid",
+            "user_api_key_team_alias": "GNT",
+            "user_api_key_request_route": "/chat/completions",
+            "user_api_key_spend": 1.64,
+            "model": "gpt-4",
+            "requester_metadata": {
+                "user_api_key_team_id": "team-uuid",
+                "user_api_key_user_id": "default_user_id",
+                "session_id": "sess-1",
+            },
+        }
+
+    def test_redact_disabled_keeps_user_api_key_fields(self, reset_redact_flag):
+        """Flag off: user_api_key_* fields are preserved (no behavior change)."""
+        litellm.redact_user_api_key_info = False
+        logger = self._logger()
+        metadata = self._metadata_with_user_api_key_fields()
+
+        extra = logger._build_extra_metadata(metadata)
+
+        assert extra["user_api_key_hash"] == "abc123"
+        assert extra["user_api_key_team_id"] == "team-uuid"
+        assert extra["requester_metadata"]["user_api_key_user_id"] == "default_user_id"
+
+    def test_redact_enabled_strips_top_level_user_api_key_fields(
+        self, reset_redact_flag
+    ):
+        """Flag on: top-level user_api_key_* keys removed; other keys preserved."""
+        litellm.redact_user_api_key_info = True
+        logger = self._logger()
+        metadata = self._metadata_with_user_api_key_fields()
+
+        extra = logger._build_extra_metadata(metadata)
+
+        for key in (
+            "user_api_key_hash",
+            "user_api_key_alias",
+            "user_api_key_user_id",
+            "user_api_key_team_id",
+            "user_api_key_team_alias",
+            "user_api_key_request_route",
+            "user_api_key_spend",
+        ):
+            assert key not in extra, f"{key} should be redacted at top level"
+        assert extra["model"] == "gpt-4"
+
+    def test_redact_enabled_strips_nested_requester_metadata(self, reset_redact_flag):
+        """Flag on: nested requester_metadata.user_api_key_* removed; session_id still lifted."""
+        litellm.redact_user_api_key_info = True
+        logger = self._logger()
+        metadata = self._metadata_with_user_api_key_fields()
+
+        extra = logger._build_extra_metadata(metadata)
+
+        nested = extra["requester_metadata"]
+        assert "user_api_key_team_id" not in nested
+        assert "user_api_key_user_id" not in nested
+        assert nested["session_id"] == "sess-1"
+        assert extra["session_id"] == "sess-1"
diff --git a/tests/test_litellm/integrations/test_prompt_manager_ssti.py b/tests/test_litellm/integrations/test_prompt_manager_ssti.py
new file mode 100644
index 00000000000..613125a8d05
--- /dev/null
+++ b/tests/test_litellm/integrations/test_prompt_manager_ssti.py
@@ -0,0 +1,125 @@
+"""SSTI regression coverage for non-dotprompt prompt managers.
+
+DotpromptManager was hardened to render through
+``ImmutableSandboxedEnvironment``. The sibling managers (gitlab, arize,
+bitbucket) ship the exact same attacker-controlled-template surface —
+repository write access or workspace edit access turns into RCE on the
+proxy host if the renderer is unsandboxed. This suite locks in the sandbox
+so the regression can't recur.
+"""
+
+from unittest.mock import MagicMock
+
+import pytest
+from jinja2.exceptions import SecurityError
+from jinja2.sandbox import ImmutableSandboxedEnvironment
+
+from litellm.integrations.arize.arize_phoenix_prompt_manager import (
+    ArizePhoenixTemplateManager,
+)
+from litellm.integrations.bitbucket.bitbucket_prompt_manager import (
+    BitBucketTemplateManager,
+)
+from litellm.integrations.gitlab.gitlab_prompt_manager import GitLabTemplateManager
+
+# Classic Jinja2 SSTI payloads. Any one of these rendering as anything other
+# than the literal string (or raising) means the sandbox isn't engaged.
+_SSTI_PAYLOADS = [
+    "{{ ''.__class__.__mro__[1].__subclasses__() }}",
+    "{{ config.__class__.__init__.__globals__['os'].popen('id').read() }}",
+    "{{ cycler.__init__.__globals__.os.popen('id').read() }}",
+    "{{ ().__class__.__bases__[0].__subclasses__() }}",
+]
+
+
+def _build_gitlab_manager() -> GitLabTemplateManager:
+    # The constructor calls into a GitLab client when prompt_id is set; pass
+    # None so __init__ stops at jinja_env construction and we can assert on it.
+    return GitLabTemplateManager(
+        gitlab_config={"project": "p", "access_token": "t", "branch": "main"},
+        prompt_id=None,
+        gitlab_client=MagicMock(),
+    )
+
+
+def _build_bitbucket_manager(monkeypatch) -> BitBucketTemplateManager:
+    # Stub the BitBucket client so we don't need network or real config.
+    from litellm.integrations.bitbucket import bitbucket_prompt_manager
+
+    monkeypatch.setattr(
+        bitbucket_prompt_manager, "BitBucketClient", lambda *a, **kw: MagicMock()
+    )
+    return BitBucketTemplateManager(
+        bitbucket_config={"workspace": "w", "repository": "r", "access_token": "t"},
+        prompt_id=None,
+    )
+
+
+def _build_arize_manager(monkeypatch) -> ArizePhoenixTemplateManager:
+    from litellm.integrations.arize import arize_phoenix_prompt_manager
+
+    monkeypatch.setattr(
+        arize_phoenix_prompt_manager, "ArizePhoenixClient", lambda *a, **kw: MagicMock()
+    )
+    return ArizePhoenixTemplateManager(
+        api_key="k",
+        api_base="https://example.test",
+        prompt_id=None,
+    )
+
+
+@pytest.mark.parametrize(
+    "manager_factory",
+    [
+        ("gitlab", lambda mp: _build_gitlab_manager()),
+        ("bitbucket", _build_bitbucket_manager),
+        ("arize", _build_arize_manager),
+    ],
+    ids=lambda v: v[0] if isinstance(v, tuple) else v,
+)
+def test_jinja_env_is_sandboxed(manager_factory, monkeypatch):
+    """Each prompt manager must render via ``ImmutableSandboxedEnvironment``."""
+    _, factory = manager_factory
+    manager = factory(monkeypatch)
+    assert isinstance(manager.jinja_env, ImmutableSandboxedEnvironment)
+
+
+@pytest.mark.parametrize(
+    "manager_factory",
+    [
+        ("gitlab", lambda mp: _build_gitlab_manager()),
+        ("bitbucket", _build_bitbucket_manager),
+        ("arize", _build_arize_manager),
+    ],
+    ids=lambda v: v[0] if isinstance(v, tuple) else v,
+)
+@pytest.mark.parametrize("payload", _SSTI_PAYLOADS)
+def test_jinja_env_blocks_ssti_payloads(manager_factory, payload, monkeypatch):
+    """Attribute-traversal payloads must raise ``SecurityError`` at render time.
+
+    A plain ``Environment()`` would happily evaluate these and execute
+    arbitrary Python on the proxy host.
+    """
+    _, factory = manager_factory
+    manager = factory(monkeypatch)
+    template = manager.jinja_env.from_string(payload)
+    with pytest.raises(SecurityError):
+        template.render()
+
+
+@pytest.mark.parametrize(
+    "manager_factory",
+    [
+        ("gitlab", lambda mp: _build_gitlab_manager()),
+        ("bitbucket", _build_bitbucket_manager),
+        ("arize", _build_arize_manager),
+    ],
+    ids=lambda v: v[0] if isinstance(v, tuple) else v,
+)
+def test_jinja_env_still_renders_normal_variables(manager_factory, monkeypatch):
+    """The sandbox is a strict superset for the legitimate use case — plain
+    ``{{ var }}`` substitution must keep working unchanged."""
+    _, factory = manager_factory
+    manager = factory(monkeypatch)
+    template = manager.jinja_env.from_string("Hello {{ name }}!")
+    assert template.render(name="world") == "Hello world!"
diff --git a/tests/test_litellm/litellm_core_utils/test_decode_special_tokens.py b/tests/test_litellm/litellm_core_utils/test_decode_special_tokens.py
new file mode 100644
index 00000000000..d1a5f78a859
--- /dev/null
+++ b/tests/test_litellm/litellm_core_utils/test_decode_special_tokens.py
@@ -0,0 +1,37 @@
+from tokenizers import AddedToken, Tokenizer
+from tokenizers.models import WordLevel
+from tokenizers.pre_tokenizers import Whitespace
+from tokenizers.processors import TemplateProcessing
+
+from litellm import decode, encode
+
+
+def _create_custom_tokenizer():
+    tokenizer = Tokenizer(
+        WordLevel({"[UNK]": 0, "Hello": 1, "World": 2}, unk_token="[UNK]")
+    )
+    tokenizer.pre_tokenizer = Whitespace()
+    tokenizer.add_special_tokens([AddedToken("[BOS]", special=True)])
+    bos_token_id = tokenizer.token_to_id("[BOS]")
+    assert bos_token_id is not None
+    tokenizer.post_processor = TemplateProcessing(
+        single="[BOS] $A",
+        special_tokens=[("[BOS]", bos_token_id)],
+    )
+    return {"type": "huggingface_tokenizer", "tokenizer": tokenizer}
+
+
+def test_decode_can_preserve_huggingface_special_tokens():
+    custom_tokenizer = _create_custom_tokenizer()
+    sample_text = "Hello World"
+    tokens = encode(text=sample_text, custom_tokenizer=custom_tokenizer)
+
+    decoded_text = decode(tokens=tokens, custom_tokenizer=custom_tokenizer)
+    decoded_text_with_special_tokens = decode(
+        tokens=tokens,
+        custom_tokenizer=custom_tokenizer,
+        skip_special_tokens=False,
+    )
+
+    assert decoded_text == sample_text
+    assert decoded_text_with_special_tokens == "[BOS] Hello World"
diff --git a/tests/test_litellm/litellm_core_utils/test_initialize_dynamic_callback_params.py b/tests/test_litellm/litellm_core_utils/test_initialize_dynamic_callback_params.py
index 55f3c2ba3aa..f63216b96d4 100644
--- a/tests/test_litellm/litellm_core_utils/test_initialize_dynamic_callback_params.py
+++ b/tests/test_litellm/litellm_core_utils/test_initialize_dynamic_callback_params.py
@@ -64,7 +64,7 @@ def test_env_reference_in_metadata_raises_with_guidance():
     assert "metadata" in message
 
 
-def test_env_reference_in_litellm_params_metadata_raises():
+def test_gcs_bucket_name_in_litellm_params_metadata_is_ignored():
     kwargs = {
         "litellm_params": {
             "metadata": {
@@ -73,10 +73,21 @@ def test_env_reference_in_litellm_params_metadata_raises():
         }
     }
 
-    with pytest.raises(ValueError) as exc_info:
-        initialize_standard_callback_dynamic_params(kwargs)
+    params = initialize_standard_callback_dynamic_params(kwargs)
 
-    assert "gcs_bucket_name" in str(exc_info.value)
+    assert params.get("gcs_bucket_name") is None
+
+
+def test_gcs_callback_params_are_not_extracted_from_request_kwargs():
+    kwargs = {
+        "gcs_bucket_name": "server-bucket",
+        "gcs_path_service_account": "/path/to/service-account.json",
+    }
+
+    params = initialize_standard_callback_dynamic_params(kwargs)
+
+    assert params.get("gcs_bucket_name") is None
+    assert params.get("gcs_path_service_account") is None
 
 
 def test_non_string_values_are_not_flagged():
diff --git a/tests/test_litellm/litellm_core_utils/test_url_utils.py b/tests/test_litellm/litellm_core_utils/test_url_utils.py
index e363418e774..cef09f3f2b0 100644
--- a/tests/test_litellm/litellm_core_utils/test_url_utils.py
+++ b/tests/test_litellm/litellm_core_utils/test_url_utils.py
@@ -7,6 +7,7 @@ from litellm.litellm_core_utils import url_utils
 from litellm.litellm_core_utils.url_utils import (
     SSRFError,
     _is_blocked_ip,
+    assert_same_origin,
     encode_url_path_segment,
     encode_url_path_segments,
     validate_url,
@@ -424,12 +425,51 @@ class TestHostAllowlist:
         validate_url("http://internal.corp/")
 
 
+class TestProviderUrlDestinationAllowlist:
+    def test_host_entry_matches_any_scheme_and_port(self):
+        assert url_utils.is_url_destination_allowed_by_host(
+            "https://trusted.example/v1/chat/completions",
+            ["trusted.example"],
+        )
+        assert url_utils.is_url_destination_allowed_by_host(
+            "http://trusted.example:8080/v1/chat/completions",
+            ["trusted.example"],
+        )
+
+    def test_origin_entry_matches_scheme_and_default_port(self):
+        assert url_utils.is_url_destination_allowed_by_host(
+            "https://trusted.example/v1/chat/completions",
+            ["https://trusted.example"],
+        )
+        assert not url_utils.is_url_destination_allowed_by_host(
+            "http://trusted.example/v1/chat/completions",
+            ["https://trusted.example"],
+        )
+
+    def test_port_entry_only_matches_same_effective_port(self):
+        assert url_utils.is_url_destination_allowed_by_host(
+            "https://trusted.example/v1/chat/completions",
+            ["trusted.example:443"],
+        )
+        assert not url_utils.is_url_destination_allowed_by_host(
+            "https://trusted.example:8443/v1/chat/completions",
+            ["trusted.example:443"],
+        )
+
+    def test_rejects_userinfo_and_invalid_port(self):
+        assert not url_utils.is_url_destination_allowed_by_host(
+            "https://user:pass@trusted.example/v1/chat/completions",
+            ["trusted.example"],
+        )
+        assert not url_utils.is_url_destination_allowed_by_host(
+            "https://trusted.example:99999/v1/chat/completions",
+            ["trusted.example"],
+        )
+
+
 # ── assert_same_origin ────────────────────────────────────────────────────────
 
 
-from litellm.litellm_core_utils.url_utils import assert_same_origin
-
-
 def test_assert_same_origin_matches_scheme_host_port():
     """A polling URL on the same scheme + host + port as the api_base
     passes — the upstream is trusted; the URL it returned points back at
diff --git a/tests/test_litellm/llms/anthropic/chat/conftest.py b/tests/test_litellm/llms/anthropic/chat/conftest.py
new file mode 100644
index 00000000000..7e93e3b539b
--- /dev/null
+++ b/tests/test_litellm/llms/anthropic/chat/conftest.py
@@ -0,0 +1,23 @@
+"""Force ``litellm.model_cost`` to load from the PR-local JSON for these tests.
+
+By default ``litellm.model_cost`` is fetched from the main branch on GitHub,
+which lags behind PR-branch flag additions. This fixture loads the local
+file so per-model flag tests pass in CI as well as locally.
+See https://github.com/BerriAI/litellm/issues/27122.
+"""
+
+import pytest
+
+import litellm
+from litellm.litellm_core_utils.get_model_cost_map import get_model_cost_map
+
+
+@pytest.fixture(autouse=True)
+def _use_pr_local_model_cost_map(monkeypatch):
+    monkeypatch.setenv("LITELLM_LOCAL_MODEL_COST_MAP", "True")
+    monkeypatch.setattr(
+        litellm,
+        "model_cost",
+        get_model_cost_map(url=litellm.model_cost_map_url),
+    )
+    yield
diff --git a/tests/test_litellm/llms/anthropic/chat/test_anthropic_chat_transformation.py b/tests/test_litellm/llms/anthropic/chat/test_anthropic_chat_transformation.py
index cbb9b21d620..26ed8d29c11 100644
--- a/tests/test_litellm/llms/anthropic/chat/test_anthropic_chat_transformation.py
+++ b/tests/test_litellm/llms/anthropic/chat/test_anthropic_chat_transformation.py
@@ -8,6 +8,7 @@ sys.path.insert(
 )  # Adds the parent directory to the system path
 from unittest.mock import MagicMock, patch
 
+import litellm
 from litellm.constants import RESPONSE_FORMAT_TOOL_NAME
 from litellm.llms.anthropic.chat.transformation import AnthropicConfig
 from litellm.llms.anthropic.experimental_pass_through.messages.transformation import (
@@ -1631,8 +1632,9 @@ def test_effort_validation():
         )
         assert result["output_config"]["effort"] == effort
 
-    # Invalid value should raise error
-    with pytest.raises(ValueError, match="Invalid effort value"):
+    with pytest.raises(
+        litellm.exceptions.BadRequestError, match="Invalid effort value"
+    ):
         optional_params = {"output_config": {"effort": "invalid"}}
         config.transform_request(
             model="claude-opus-4-5-20251101",
@@ -1687,7 +1689,10 @@ def test_max_effort_rejected_for_opus_45():
 
     messages = [{"role": "user", "content": "Test"}]
 
-    with pytest.raises(ValueError, match="effort='max' is not supported by this model"):
+    with pytest.raises(
+        litellm.exceptions.BadRequestError,
+        match="effort='max' is not supported by this model",
+    ):
         optional_params = {"output_config": {"effort": "max"}}
         config.transform_request(
             model="claude-opus-4-5-20251101",
@@ -1739,6 +1744,97 @@ def test_effort_with_other_features():
     assert "thinking" in result
 
 
+def test_anthropic_drop_params_strips_output_config_for_pre_4_5_models():
+    """``drop_params=True`` strips unsupported ``output_config`` for pre-4.5 models."""
+    config = AnthropicConfig()
+    messages = [{"role": "user", "content": "Hello"}]
+
+    original = litellm.drop_params
+    litellm.drop_params = True
+    try:
+        result = config.transform_request(
+            model="claude-3-haiku-20240307",
+            messages=messages,
+            optional_params={"output_config": {"effort": "low"}},
+            litellm_params={},
+            headers={},
+        )
+    finally:
+        litellm.drop_params = original
+
+    assert "output_config" not in result
+
+
+def test_anthropic_drop_params_keeps_output_config_for_supporting_models():
+    """``drop_params=True`` must not strip on models that support effort."""
+    config = AnthropicConfig()
+    messages = [{"role": "user", "content": "Hello"}]
+
+    original = litellm.drop_params
+    litellm.drop_params = True
+    try:
+        result = config.transform_request(
+            model="claude-opus-4-7",
+            messages=messages,
+            optional_params={"output_config": {"effort": "high"}},
+            litellm_params={},
+            headers={},
+        )
+    finally:
+        litellm.drop_params = original
+
+    assert result.get("output_config") == {"effort": "high"}
+
+
+def test_anthropic_drop_params_false_forwards_to_unsupported_model():
+    """Default ``drop_params=False`` forwards ``output_config`` and lets the provider 400."""
+    config = AnthropicConfig()
+    messages = [{"role": "user", "content": "Hello"}]
+
+    original = litellm.drop_params
+    litellm.drop_params = False
+    try:
+        result = config.transform_request(
+            model="claude-3-haiku-20240307",
+            messages=messages,
+            optional_params={"output_config": {"effort": "low"}},
+            litellm_params={},
+            headers={},
+        )
+    finally:
+        litellm.drop_params = original
+
+    assert result.get("output_config") == {"effort": "low"}
+
+
+@pytest.mark.parametrize(
+    "model",
+    [
+        "claude-opus-4-5-20251101",
+        "claude-opus-4-6",
+        "claude-opus-4-7",
+        "claude-sonnet-4-6",
+        "anthropic.claude-mythos-preview",
+        "bedrock/anthropic.claude-mythos-preview",
+    ],
+)
+def test_anthropic_model_supports_effort_param_recognizes_supporting_models(model):
+    assert AnthropicConfig._model_supports_effort_param(model) is True
+
+
+@pytest.mark.parametrize(
+    "model",
+    [
+        "claude-3-haiku-20240307",
+        "claude-3-5-sonnet-20241022",
+        "claude-3-opus-20240229",
+        "claude-sonnet-4-20250514",
+    ],
+)
+def test_anthropic_model_supports_effort_param_rejects_non_supporting_models(model):
+    assert AnthropicConfig._model_supports_effort_param(model) is False
+
+
 def test_translate_system_message_skips_empty_string_content():
     """
     Test that translate_system_message skips system messages with empty string content.
@@ -1950,6 +2046,67 @@ def test_get_config_without_model_uses_fallback():
     assert config["max_tokens"] == 4096
 
 
+def test_get_config_does_not_leak_module_constants():
+    """``get_config`` must not leak the reasoning-effort lookup table onto the wire."""
+    cfg = AnthropicConfig.get_config(model="claude-opus-4-7")
+    for forbidden in (
+        "REASONING_EFFORT_TO_OUTPUT_CONFIG_EFFORT",
+        "_REASONING_EFFORT_TO_OUTPUT_CONFIG_EFFORT",
+    ):
+        assert forbidden not in cfg
+
+
+@pytest.mark.parametrize(
+    "model,level,expected",
+    [
+        ("claude-opus-4-7", "max", True),
+        ("claude-opus-4-7", "xhigh", True),
+        ("claude-opus-4-6", "max", True),
+        ("claude-opus-4-6", "xhigh", False),
+        ("claude-sonnet-4-6", "max", True),
+        ("claude-sonnet-4-6", "xhigh", False),
+        ("bedrock/invoke/us.anthropic.claude-opus-4-7", "max", True),
+        ("bedrock/invoke/us.anthropic.claude-opus-4-7", "xhigh", True),
+        ("bedrock/invoke/us.anthropic.claude-opus-4-6-v1", "max", True),
+        ("bedrock/invoke/us.anthropic.claude-opus-4-6-v1", "xhigh", False),
+        ("bedrock/invoke/us.anthropic.claude-sonnet-4-6", "max", True),
+        ("vertex_ai/claude-opus-4-7", "xhigh", True),
+        ("azure_ai/claude-opus-4-7", "xhigh", True),
+    ],
+)
+def test_supports_effort_level_handles_provider_prefixes(model, level, expected):
+    """``_supports_effort_level`` resolves bedrock/vertex/azure-prefixed model ids."""
+    assert AnthropicConfig._supports_effort_level(model, level) is expected
+
+
+@pytest.mark.parametrize(
+    "model,effort,expect_error",
+    [
+        ("claude-opus-4-6", "max", False),
+        ("claude-sonnet-4-6", "max", False),
+        ("claude-opus-4-7", "max", False),
+        ("claude-opus-4-5-20251101", "max", True),
+        ("claude-sonnet-4-5", "max", True),
+        ("claude-opus-4-7", "xhigh", False),
+        ("claude-opus-4-6", "xhigh", True),
+        ("claude-sonnet-4-6", "xhigh", True),
+        ("claude-opus-4-5-20251101", "high", False),
+        ("claude-haiku-4-5", "low", False),
+        ("claude-opus-4-5-20251101", None, False),
+    ],
+)
+def test_validate_effort_for_model_centralises_per_model_gating(
+    model, effort, expect_error
+):
+    err = AnthropicConfig._validate_effort_for_model(model, effort)
+    if expect_error:
+        assert err is not None
+        assert effort in err
+        assert model in err
+    else:
+        assert err is None
+
+
 def test_transform_request_uses_dynamic_max_tokens():
     """
     Test that transform_request uses dynamic max_tokens based on model
@@ -2153,12 +2310,12 @@ def test_reasoning_effort_maps_to_budget_thinking_for_non_opus_4_6():
     """
     config = AnthropicConfig()
 
-    # Test with Claude Sonnet 4.5 (non-Opus 4.6 model)
+    # ``minimal`` floors at ANTHROPIC_MIN_THINKING_BUDGET_TOKENS (1024).
     test_cases = [
-        ("low", 1024),  # DEFAULT_REASONING_EFFORT_LOW_THINKING_BUDGET
-        ("medium", 2048),  # DEFAULT_REASONING_EFFORT_MEDIUM_THINKING_BUDGET
-        ("high", 4096),  # DEFAULT_REASONING_EFFORT_HIGH_THINKING_BUDGET
-        ("minimal", 128),  # DEFAULT_REASONING_EFFORT_MINIMAL_THINKING_BUDGET
+        ("low", 1024),
+        ("medium", 2048),
+        ("high", 4096),
+        ("minimal", 1024),
     ]
 
     for effort, expected_budget in test_cases:
@@ -2244,19 +2401,31 @@ def test_reasoning_effort_does_not_set_output_config_for_older_models():
         ), f"output_config should not be set for {model}"
 
 
-def test_max_effort_rejected_for_sonnet_46():
-    """Test that effort='max' is rejected for Sonnet 4.6 (Opus-only effort level)."""
+@pytest.mark.parametrize(
+    "model",
+    [
+        "claude-sonnet-4-6",
+        "claude-sonnet-4-6-20260219",
+        "us.anthropic.claude-sonnet-4-6",
+        "bedrock/converse/us.anthropic.claude-sonnet-4-6",
+        "vertex_ai/claude-sonnet-4-6",
+        "openrouter/anthropic/claude-sonnet-4.6",
+    ],
+)
+def test_max_effort_accepted_for_sonnet_46_variants(model):
+    """``effort='max'`` is supported on Claude 4.6 (Opus + Sonnet) and 4.7."""
     config = AnthropicConfig()
     messages = [{"role": "user", "content": "Test"}]
 
-    with pytest.raises(ValueError, match="effort='max' is not supported by this model"):
-        config.transform_request(
-            model="claude-sonnet-4-6-20260219",
-            messages=messages,
-            optional_params={"output_config": {"effort": "max"}},
-            litellm_params={},
-            headers={},
-        )
+    result = config.transform_request(
+        model=model,
+        messages=messages,
+        optional_params={"output_config": {"effort": "max"}},
+        litellm_params={},
+        headers={},
+    )
+
+    assert result["output_config"]["effort"] == "max"
 
 
 def test_max_effort_accepted_for_opus_46():
@@ -2335,6 +2504,74 @@ def test_reasoning_effort_none_omits_thinking_and_output_config(model):
     assert "output_config" not in result
 
 
+@pytest.mark.parametrize(
+    "effort",
+    ["disabled", "invalid", ""],
+)
+def test_reasoning_effort_garbage_raises_bad_request(effort):
+    """Unmapped reasoning_effort raises BadRequestError (clean 400, not a 500)."""
+    config = AnthropicConfig()
+
+    with pytest.raises(litellm.exceptions.BadRequestError):
+        config.map_openai_params(
+            non_default_params={"reasoning_effort": effort},
+            optional_params={},
+            model="claude-sonnet-4-5-20250929",
+            drop_params=False,
+        )
+
+
+@pytest.mark.parametrize(
+    "effort,expected_budget",
+    [("xhigh", 8192), ("max", 16384)],
+)
+def test_reasoning_effort_xhigh_max_maps_to_budget_on_budget_model(
+    effort, expected_budget
+):
+    """``xhigh`` / ``max`` extend the budget_tokens progression on budget-mode models."""
+    config = AnthropicConfig()
+
+    result = config.map_openai_params(
+        non_default_params={"reasoning_effort": effort},
+        optional_params={},
+        model="claude-sonnet-4-5-20250929",
+        drop_params=False,
+    )
+
+    assert result["thinking"]["type"] == "enabled"
+    assert result["thinking"]["budget_tokens"] == expected_budget
+    assert "output_config" not in result
+
+
+def test_output_config_effort_empty_string_raises_bad_request():
+    """``output_config={"effort": ""}`` is rejected with a 400."""
+    config = AnthropicConfig()
+
+    with pytest.raises(litellm.exceptions.BadRequestError, match="Invalid effort"):
+        config.transform_request(
+            model="claude-opus-4-7",
+            messages=[{"role": "user", "content": "hi"}],
+            optional_params={"output_config": {"effort": ""}, "max_tokens": 32},
+            litellm_params={},
+            headers={},
+        )
+
+
+def test_reasoning_effort_minimal_floors_at_anthropic_provider_minimum():
+    """``minimal`` floors at the Anthropic provider minimum (1024)."""
+    config = AnthropicConfig()
+
+    result = config.map_openai_params(
+        non_default_params={"reasoning_effort": "minimal"},
+        optional_params={},
+        model="claude-sonnet-4-5-20250929",
+        drop_params=False,
+    )
+
+    assert result["thinking"]["type"] == "enabled"
+    assert result["thinking"]["budget_tokens"] >= 1024
+
+
 def test_effort_beta_header_still_injected_for_older_models():
     """
     Test that is_effort_used still returns True for pre-4.6 models
diff --git a/tests/test_litellm/llms/anthropic/experimental_pass_through/messages/test_reasoning_effort_translation.py b/tests/test_litellm/llms/anthropic/experimental_pass_through/messages/test_reasoning_effort_translation.py
new file mode 100644
index 00000000000..83716b8c8d3
--- /dev/null
+++ b/tests/test_litellm/llms/anthropic/experimental_pass_through/messages/test_reasoning_effort_translation.py
@@ -0,0 +1,193 @@
+"""Tests for ``reasoning_effort`` translation on the Anthropic /v1/messages route."""
+
+import pytest
+
+from litellm.llms.anthropic.common_utils import AnthropicError
+from litellm.llms.anthropic.experimental_pass_through.messages.transformation import (
+    AnthropicMessagesConfig,
+)
+
+
+@pytest.mark.parametrize(
+    "reasoning_effort,expected_effort",
+    [
+        ("minimal", "low"),
+        ("low", "low"),
+        ("medium", "medium"),
+        ("high", "high"),
+        ("xhigh", "xhigh"),
+        ("max", "max"),
+    ],
+)
+def test_reasoning_effort_maps_to_output_config_for_adaptive_model(
+    reasoning_effort, expected_effort
+):
+    config = AnthropicMessagesConfig()
+    optional_params = {"max_tokens": 1024, "reasoning_effort": reasoning_effort}
+
+    result = config.transform_anthropic_messages_request(
+        model="claude-opus-4-7",
+        messages=[{"role": "user", "content": "Hello"}],
+        anthropic_messages_optional_request_params=optional_params,
+        litellm_params={},
+        headers={},
+    )
+
+    assert "reasoning_effort" not in result
+    assert result.get("thinking") == {"type": "adaptive"}
+    assert result.get("output_config") == {"effort": expected_effort}
+
+
+def test_reasoning_effort_none_clears_thinking_and_output_config():
+    config = AnthropicMessagesConfig()
+    optional_params = {
+        "max_tokens": 1024,
+        "reasoning_effort": "none",
+        "thinking": {"type": "adaptive"},
+        "output_config": {"effort": "high"},
+    }
+
+    result = config.transform_anthropic_messages_request(
+        model="claude-opus-4-7",
+        messages=[{"role": "user", "content": "Hello"}],
+        anthropic_messages_optional_request_params=optional_params,
+        litellm_params={},
+        headers={},
+    )
+
+    assert "reasoning_effort" not in result
+    assert "thinking" not in result
+    assert "output_config" not in result
+
+
+def test_reasoning_effort_on_non_adaptive_model_uses_thinking_budget():
+    config = AnthropicMessagesConfig()
+    optional_params = {"max_tokens": 1024, "reasoning_effort": "high"}
+
+    result = config.transform_anthropic_messages_request(
+        model="claude-opus-4-5",
+        messages=[{"role": "user", "content": "Hello"}],
+        anthropic_messages_optional_request_params=optional_params,
+        litellm_params={},
+        headers={},
+    )
+
+    assert "reasoning_effort" not in result
+    assert "output_config" not in result
+    thinking = result.get("thinking")
+    assert isinstance(thinking, dict)
+    assert thinking.get("type") == "enabled"
+    assert isinstance(thinking.get("budget_tokens"), int)
+    assert thinking["budget_tokens"] >= 1024
+
+
+@pytest.mark.parametrize("bad_effort", ["invalid", "disabled", ""])
+def test_invalid_reasoning_effort_raises_400(bad_effort):
+    config = AnthropicMessagesConfig()
+    optional_params = {"max_tokens": 1024, "reasoning_effort": bad_effort}
+
+    with pytest.raises(AnthropicError) as exc_info:
+        config.transform_anthropic_messages_request(
+            model="claude-opus-4-7",
+            messages=[{"role": "user", "content": "Hello"}],
+            anthropic_messages_optional_request_params=optional_params,
+            litellm_params={},
+            headers={},
+        )
+
+    assert exc_info.value.status_code == 400
+
+
+@pytest.mark.parametrize(
+    "model,bad_effort",
+    [
+        ("claude-opus-4-6", "xhigh"),
+        ("bedrock/invoke/us.anthropic.claude-opus-4-6-v1", "xhigh"),
+        ("claude-sonnet-4-6", "xhigh"),
+    ],
+)
+def test_reasoning_effort_unsupported_tier_raises_400_messages(model, bad_effort):
+    config = AnthropicMessagesConfig()
+    optional_params = {"max_tokens": 1024, "reasoning_effort": bad_effort}
+
+    with pytest.raises(AnthropicError) as exc_info:
+        config.transform_anthropic_messages_request(
+            model=model,
+            messages=[{"role": "user", "content": "Hello"}],
+            anthropic_messages_optional_request_params=optional_params,
+            litellm_params={},
+            headers={},
+        )
+
+    assert exc_info.value.status_code == 400
+    assert "not supported by this model" in str(exc_info.value)
+
+
+@pytest.mark.parametrize(
+    "model",
+    [
+        "claude-sonnet-4-6",
+        "bedrock/invoke/us.anthropic.claude-sonnet-4-6",
+    ],
+)
+def test_reasoning_effort_max_accepted_on_sonnet_46_messages(model):
+    config = AnthropicMessagesConfig()
+    optional_params = {"max_tokens": 1024, "reasoning_effort": "max"}
+
+    result = config.transform_anthropic_messages_request(
+        model=model,
+        messages=[{"role": "user", "content": "Hello"}],
+        anthropic_messages_optional_request_params=optional_params,
+        litellm_params={},
+        headers={},
+    )
+
+    output_config = result.get("output_config")
+    assert isinstance(output_config, dict) and output_config.get("effort") == "max"
+
+
+def test_explicit_output_config_wins_over_reasoning_effort():
+    config = AnthropicMessagesConfig()
+    optional_params = {
+        "max_tokens": 1024,
+        "reasoning_effort": "low",
+        "output_config": {"effort": "max"},
+    }
+
+    result = config.transform_anthropic_messages_request(
+        model="claude-opus-4-7",
+        messages=[{"role": "user", "content": "Hello"}],
+        anthropic_messages_optional_request_params=optional_params,
+        litellm_params={},
+        headers={},
+    )
+
+    assert "reasoning_effort" not in result
+    assert result.get("output_config") == {"effort": "max"}
+
+
+def test_explicit_thinking_wins_over_reasoning_effort():
+    config = AnthropicMessagesConfig()
+    optional_params = {
+        "max_tokens": 1024,
+        "reasoning_effort": "low",
+        "thinking": {"type": "enabled", "budget_tokens": 8000},
+    }
+
+    result = config.transform_anthropic_messages_request(
+        model="claude-opus-4-5",
+        messages=[{"role": "user", "content": "Hello"}],
+        anthropic_messages_optional_request_params=optional_params,
+        litellm_params={},
+        headers={},
+    )
+
+    assert "reasoning_effort" not in result
+    assert result.get("thinking") == {"type": "enabled", "budget_tokens": 8000}
+
+
+def test_reasoning_effort_in_supported_params():
+    config = AnthropicMessagesConfig()
+    assert "reasoning_effort" in config.get_supported_anthropic_messages_params(
+        "claude-opus-4-7"
+    )
diff --git a/tests/test_litellm/llms/azure_ai/claude/test_azure_anthropic_transformation.py b/tests/test_litellm/llms/azure_ai/claude/test_azure_anthropic_transformation.py
index 06ef04ca2ce..9dac914ca4d 100644
--- a/tests/test_litellm/llms/azure_ai/claude/test_azure_anthropic_transformation.py
+++ b/tests/test_litellm/llms/azure_ai/claude/test_azure_anthropic_transformation.py
@@ -291,6 +291,100 @@ class TestAzureAnthropicConfig:
         assert "anthropic-beta" in headers
         assert "compact-2026-01-12" in headers["anthropic-beta"]
 
+    def test_output_config_promoted_from_extra_body(self):
+        """Anthropic ``output_config`` routed via ``extra_body`` reaches the request body."""
+        config = AzureAnthropicConfig()
+
+        messages = [{"role": "user", "content": "Hello"}]
+        optional_params = {
+            "max_tokens": 100,
+            "extra_body": {"output_config": {"effort": "low"}},
+        }
+        litellm_params = {"api_key": "test-key"}
+        headers = {"api-key": "test-key", "anthropic-version": "2023-06-01"}
+
+        result = config.transform_request(
+            model="claude-opus-4-6",
+            messages=messages,
+            optional_params=optional_params,
+            litellm_params=litellm_params,
+            headers=headers,
+        )
+
+        assert result["output_config"] == {"effort": "low"}
+        assert "extra_body" not in result
+
+    def test_invalid_output_config_effort_raises_via_extra_body(self):
+        """Invalid ``effort`` via ``extra_body`` raises BadRequestError."""
+        import litellm
+
+        config = AzureAnthropicConfig()
+
+        messages = [{"role": "user", "content": "Hello"}]
+        optional_params = {
+            "max_tokens": 100,
+            "extra_body": {"output_config": {"effort": "invalid"}},
+        }
+        litellm_params = {"api_key": "test-key"}
+        headers = {"api-key": "test-key", "anthropic-version": "2023-06-01"}
+
+        with pytest.raises(litellm.exceptions.BadRequestError) as exc_info:
+            config.transform_request(
+                model="claude-opus-4-6",
+                messages=messages,
+                optional_params=optional_params,
+                litellm_params=litellm_params,
+                headers=headers,
+            )
+        assert "Invalid effort value" in str(exc_info.value)
+
+    def test_unsupported_effort_xhigh_raises_via_extra_body(self):
+        """Unsupported ``effort='xhigh'`` via ``extra_body`` raises BadRequestError."""
+        import litellm
+
+        config = AzureAnthropicConfig()
+
+        messages = [{"role": "user", "content": "Hello"}]
+        optional_params = {
+            "max_tokens": 100,
+            "extra_body": {"output_config": {"effort": "xhigh"}},
+        }
+        litellm_params = {"api_key": "test-key"}
+        headers = {"api-key": "test-key", "anthropic-version": "2023-06-01"}
+
+        with pytest.raises(litellm.exceptions.BadRequestError) as exc_info:
+            config.transform_request(
+                model="claude-sonnet-4-6",
+                messages=messages,
+                optional_params=optional_params,
+                litellm_params=litellm_params,
+                headers=headers,
+            )
+        assert "xhigh" in str(exc_info.value)
+
+    def test_extra_body_promotion_does_not_clobber_top_level(self):
+        """Top-level ``optional_params`` wins over duplicates in ``extra_body``."""
+        config = AzureAnthropicConfig()
+
+        messages = [{"role": "user", "content": "Hello"}]
+        optional_params = {
+            "max_tokens": 100,
+            "output_config": {"effort": "low"},
+            "extra_body": {"output_config": {"effort": "high"}},
+        }
+        litellm_params = {"api_key": "test-key"}
+        headers = {"api-key": "test-key", "anthropic-version": "2023-06-01"}
+
+        result = config.transform_request(
+            model="claude-opus-4-6",
+            messages=messages,
+            optional_params=optional_params,
+            litellm_params=litellm_params,
+            headers=headers,
+        )
+
+        assert result["output_config"] == {"effort": "low"}
+
     def test_context_management_mixed_edits_beta_headers(self):
         """Test that context_management with both compact and other edits adds both beta headers"""
         config = AzureAnthropicConfig()
diff --git a/tests/test_litellm/llms/base_llm/test_base_managed_resource.py b/tests/test_litellm/llms/base_llm/test_base_managed_resource.py
new file mode 100644
index 00000000000..a6c518616f4
--- /dev/null
+++ b/tests/test_litellm/llms/base_llm/test_base_managed_resource.py
@@ -0,0 +1,131 @@
+"""
+Integration tests for BaseManagedResource listing and access control.
+"""
+
+from typing import List
+from unittest.mock import AsyncMock, MagicMock
+
+import pytest
+
+from litellm.llms.base_llm.managed_resources.base_managed_resource import (
+    BaseManagedResource,
+)
+from litellm.proxy._types import LitellmUserRoles, UserAPIKeyAuth
+
+
+class _StubResource(BaseManagedResource):
+    """Concrete subclass exposing the abstract surface for testing."""
+
+    @property
+    def resource_type(self) -> str:
+        return "test_resource"
+
+    @property
+    def table_name(self) -> str:
+        return "litellm_test_resource_table"
+
+    def get_unified_resource_id_format(
+        self, resource_object, target_model_names_list
+    ) -> str:
+        return "test"
+
+    async def create_resource_for_model(
+        self, llm_router, model, request_data, litellm_parent_otel_span
+    ):
+        return {"id": "test"}
+
+
+def _make_resource(records: List = None) -> _StubResource:
+    cache = MagicMock()
+    cache.async_get_cache = AsyncMock(return_value=None)
+
+    prisma = MagicMock()
+    table = MagicMock()
+    table.find_many = AsyncMock(return_value=records or [])
+    prisma.db = MagicMock()
+    setattr(prisma.db, "litellm_test_resource_table", table)
+
+    return _StubResource(internal_usage_cache=cache, prisma_client=prisma)
+
+
+@pytest.mark.asyncio
+async def test_list_admin_query_is_unscoped():
+    resource = _make_resource()
+    admin = UserAPIKeyAuth(user_role=LitellmUserRoles.PROXY_ADMIN)
+
+    await resource.list_user_resources(user_api_key_dict=admin)
+
+    table = resource.prisma_client.db.litellm_test_resource_table
+    where = table.find_many.await_args.kwargs["where"]
+    assert "created_by" not in where
+    assert "team_id" not in where
+
+
+@pytest.mark.asyncio
+async def test_list_user_filters_by_user_id():
+    resource = _make_resource()
+    user = UserAPIKeyAuth(user_id="alice")
+
+    await resource.list_user_resources(user_api_key_dict=user)
+
+    where = resource.prisma_client.db.litellm_test_resource_table.find_many.await_args.kwargs[
+        "where"
+    ]
+    assert where["created_by"] == "alice"
+    assert "team_id" not in where
+
+
+@pytest.mark.asyncio
+async def test_list_service_account_filters_by_team_id():
+    resource = _make_resource()
+    service_account = UserAPIKeyAuth(team_id="team-eng")
+
+    await resource.list_user_resources(user_api_key_dict=service_account)
+
+    where = resource.prisma_client.db.litellm_test_resource_table.find_many.await_args.kwargs[
+        "where"
+    ]
+    assert where["team_id"] == "team-eng"
+    assert "created_by" not in where
+
+
+@pytest.mark.asyncio
+async def test_list_identity_less_caller_returns_empty_without_query():
+    """A caller with no admin role and no identifying ids must NOT issue a
+    query — the original bug skipped the filter and returned everything."""
+    resource = _make_resource()
+    nobody = UserAPIKeyAuth()
+
+    result = await resource.list_user_resources(user_api_key_dict=nobody)
+
+    assert result == {
+        "object": "list",
+        "data": [],
+        "first_id": None,
+        "last_id": None,
+        "has_more": False,
+    }
+    resource.prisma_client.db.litellm_test_resource_table.find_many.assert_not_awaited()
+
+
+@pytest.mark.asyncio
+@pytest.mark.parametrize(
+    "caller_team_id,expected",
+    [("team-eng", True), ("team-sales", False), (None, False)],
+)
+async def test_can_access_uses_team_id_for_service_account(caller_team_id, expected):
+    cache = MagicMock()
+    cache.async_get_cache = AsyncMock(
+        return_value={
+            "created_by": None,
+            "team_id": "team-eng",
+        }
+    )
+    prisma = MagicMock()
+    resource = _StubResource(internal_usage_cache=cache, prisma_client=prisma)
+
+    caller = (
+        UserAPIKeyAuth(team_id=caller_team_id) if caller_team_id else UserAPIKeyAuth()
+    )
+
+    assert await resource.can_user_access_unified_resource_id("rid", caller) is expected
diff --git a/tests/test_litellm/llms/base_llm/test_managed_resource_isolation.py b/tests/test_litellm/llms/base_llm/test_managed_resource_isolation.py
new file mode 100644
index 00000000000..b5fcd9d8219
--- /dev/null
+++ b/tests/test_litellm/llms/base_llm/test_managed_resource_isolation.py
@@ -0,0 +1,156 @@
+"""
+Tests for managed-resource tenant isolation helpers.
+"""
+
+import pytest
+
+from litellm.llms.base_llm.managed_resources.isolation import (
+    build_owner_filter,
+    can_access_resource,
+)
+from litellm.proxy._types import LitellmUserRoles, UserAPIKeyAuth
+
+
+# ---------------------------------------------------------------------------
+# build_owner_filter
+# ---------------------------------------------------------------------------
+
+
+@pytest.mark.parametrize(
+    "role",
+    [LitellmUserRoles.PROXY_ADMIN, LitellmUserRoles.PROXY_ADMIN_VIEW_ONLY],
+)
+def test_owner_filter_admin_unscoped(role):
+    assert build_owner_filter(UserAPIKeyAuth(user_role=role)) == {}
+
+
+def test_owner_filter_user_scoped_to_user_id():
+    user = UserAPIKeyAuth(user_id="alice")
+    assert build_owner_filter(user) == {"created_by": "alice"}
+
+
+def test_owner_filter_service_account_scoped_to_team():
+    service_account = UserAPIKeyAuth(team_id="team-eng")
+    assert build_owner_filter(service_account) == {"team_id": "team-eng"}
+
+
+def test_owner_filter_user_with_team_returns_or_filter():
+    """List view must mirror `can_access_resource`: a user-keyed caller in a
+    team can also access team-shared resources, so the listing returns both
+    their own records and team records via an OR filter."""
+    user = UserAPIKeyAuth(user_id="alice", team_id="team-eng")
+    assert build_owner_filter(user) == {
+        "OR": [
+            {"created_by": "alice"},
+            {"team_id": "team-eng"},
+        ]
+    }
+
+
+def test_owner_filter_no_identity_returns_none():
+    """A caller with no admin role and no identifying ids must be denied so
+    the listing path can refuse the query rather than fall through to an
+    unscoped fetch."""
+    assert build_owner_filter(UserAPIKeyAuth()) is None
+
+
+# ---------------------------------------------------------------------------
+# can_access_resource
+# ---------------------------------------------------------------------------
+
+
+@pytest.mark.parametrize(
+    "role",
+    [LitellmUserRoles.PROXY_ADMIN, LitellmUserRoles.PROXY_ADMIN_VIEW_ONLY],
+)
+@pytest.mark.parametrize(
+    "created_by,resource_team_id",
+    [("alice", "team-eng"), (None, None)],
+)
+def test_access_admin_can_read_any_resource(role, created_by, resource_team_id):
+    admin = UserAPIKeyAuth(user_role=role)
+    assert (
+        can_access_resource(
+            admin, created_by=created_by, resource_team_id=resource_team_id
+        )
+        is True
+    )
+
+
+@pytest.mark.parametrize(
+    "user_id,created_by,expected",
+    [
+        ("alice", "alice", True),
+        ("alice", "bob", False),
+        ("alice", None, False),
+    ],
+)
+def test_access_user_id_match(user_id, created_by, expected):
+    user = UserAPIKeyAuth(user_id=user_id)
+    assert (
+        can_access_resource(user, created_by=created_by, resource_team_id=None)
+        is expected
+    )
+
+
+@pytest.mark.parametrize(
+    "caller_team_id,resource_team_id,expected",
+    [
+        ("team-eng", "team-eng", True),
+        ("team-eng", "team-sales", False),
+        ("team-eng", None, False),
+    ],
+)
+def test_access_service_account_team_id_match(
+    caller_team_id, resource_team_id, expected
+):
+    service_account = UserAPIKeyAuth(team_id=caller_team_id)
+    assert (
+        can_access_resource(
+            service_account, created_by=None, resource_team_id=resource_team_id
+        )
+        is expected
+    )
+
+
+def test_access_user_can_see_team_match_when_no_user_id_match():
+    """Falls through to the team check when user_id doesn't match — lets a
+    team member read a resource created by a sibling service account in the
+    same team."""
+    user = UserAPIKeyAuth(user_id="alice", team_id="team-eng")
+    assert (
+        can_access_resource(user, created_by="service-bot", resource_team_id="team-eng")
+        is True
+    )
+
+
+def test_access_service_account_denied_user_resource_in_different_team():
+    service_account = UserAPIKeyAuth(team_id="team-eng")
+    assert (
+        can_access_resource(
+            service_account, created_by="bob", resource_team_id="team-sales"
+        )
+        is False
+    )
+
+
+@pytest.mark.parametrize(
+    "created_by,resource_team_id",
+    [
+        (None, None),
+        ("anybody", None),
+        (None, "any-team"),
+        ("anybody", "any-team"),
+    ],
+)
+def test_access_identity_less_caller_always_denied(created_by, resource_team_id):
+    """The original `None == None` bypass — a caller with no admin role and
+    no identifying ids is denied against every resource regardless of how
+    the resource was tagged."""
+    nobody = UserAPIKeyAuth()
+    assert (
+        can_access_resource(
+            nobody, created_by=created_by, resource_team_id=resource_team_id
+        )
+        is False
+    )
diff --git a/tests/test_litellm/llms/bedrock/chat/invoke_transformations/test_bedrock_chat_invoke_transformations_anthropic_claude3_transformation.py b/tests/test_litellm/llms/bedrock/chat/invoke_transformations/test_bedrock_chat_invoke_transformations_anthropic_claude3_transformation.py
index 80d6d26e7ea..4495e3f4101 100644
--- a/tests/test_litellm/llms/bedrock/chat/invoke_transformations/test_bedrock_chat_invoke_transformations_anthropic_claude3_transformation.py
+++ b/tests/test_litellm/llms/bedrock/chat/invoke_transformations/test_bedrock_chat_invoke_transformations_anthropic_claude3_transformation.py
@@ -406,37 +406,26 @@ def test_opus_4_5_model_detection():
 #         f"computer-use beta should be kept, got: {anthropic_beta}"
 
 
-def test_output_config_removed_from_bedrock_chat_invoke_request():
-    """
-    Test that output_config parameter is stripped from Bedrock Chat Invoke requests.
-
-    Bedrock Invoke API doesn't support the output_config parameter (Anthropic-only).
-    Ensures the chat/invoke path mirrors the messages/invoke path fix.
-
-    Fixes: https://github.com/BerriAI/litellm/issues/22797
-    """
+def test_output_config_forwarded_for_bedrock_chat_invoke_request():
+    """Bedrock Invoke chat path forwards ``output_config`` for adaptive Claude models."""
     config = AmazonAnthropicClaudeConfig()
 
     messages = [{"role": "user", "content": "test"}]
 
-    # Inject output_config into optional_params (simulates Anthropic SDK forwarding it)
     optional_params = {
         "max_tokens": 100,
         "output_config": {"effort": "high"},
     }
 
     result = config.transform_request(
-        model="anthropic.claude-sonnet-4-20250514-v1:0",
+        model="anthropic.claude-opus-4-7",
         messages=messages,
         optional_params=optional_params,
         litellm_params={},
         headers={},
     )
 
-    assert (
-        "output_config" not in result
-    ), f"output_config should be stripped for Bedrock Chat Invoke, got keys: {list(result.keys())}"
-    # Verify normal params survive
+    assert result.get("output_config") == {"effort": "high"}
     assert result["max_tokens"] == 100
 
 
diff --git a/tests/test_litellm/llms/bedrock/chat/test_converse_transformation.py b/tests/test_litellm/llms/bedrock/chat/test_converse_transformation.py
index 5bb51ac619c..5f2ed3dc00f 100644
--- a/tests/test_litellm/llms/bedrock/chat/test_converse_transformation.py
+++ b/tests/test_litellm/llms/bedrock/chat/test_converse_transformation.py
@@ -310,6 +310,111 @@ def test_reasoning_effort_none_omits_thinking_for_anthropic_converse(model):
     assert "thinking" not in optional_params
 
 
+@pytest.mark.parametrize(
+    "model,effort,expected_effort",
+    [
+        ("bedrock/converse/us.anthropic.claude-opus-4-7", "low", "low"),
+        ("bedrock/converse/us.anthropic.claude-opus-4-7", "medium", "medium"),
+        ("bedrock/converse/us.anthropic.claude-opus-4-7", "high", "high"),
+        ("bedrock/converse/us.anthropic.claude-opus-4-7", "xhigh", "xhigh"),
+        ("bedrock/converse/us.anthropic.claude-opus-4-7", "max", "max"),
+        ("bedrock/converse/us.anthropic.claude-opus-4-6-v1", "max", "max"),
+        ("bedrock/converse/us.anthropic.claude-sonnet-4-6", "high", "high"),
+        ("bedrock/converse/us.anthropic.claude-sonnet-4-6", "minimal", "low"),
+    ],
+)
+def test_reasoning_effort_sets_output_config_for_adaptive_models_converse(
+    model, effort, expected_effort
+):
+    """Adaptive Claude 4.6 / 4.7 on Bedrock Converse routes the tier via ``output_config.effort``."""
+    config = AmazonConverseConfig()
+
+    optional_params = config.map_openai_params(
+        non_default_params={"reasoning_effort": effort},
+        optional_params={},
+        model=model,
+        drop_params=False,
+    )
+
+    assert optional_params["thinking"]["type"] == "adaptive"
+    assert optional_params["output_config"] == {"effort": expected_effort}
+
+
+@pytest.mark.parametrize(
+    "model",
+    [
+        "bedrock/converse/us.anthropic.claude-opus-4-7",
+        "bedrock/converse/us.anthropic.claude-opus-4-6-v1",
+        "bedrock/converse/us.anthropic.claude-sonnet-4-6",
+    ],
+)
+def test_output_config_effort_forwarded_into_additional_request_fields(model):
+    """``output_config`` rides along inside ``additionalModelRequestFields``."""
+    config = AmazonConverseConfig()
+    messages = [{"role": "user", "content": "hi"}]
+
+    result = config._transform_request(
+        model=model,
+        messages=messages,
+        optional_params={
+            "maxTokens": 256,
+            "thinking": {"type": "adaptive"},
+            "output_config": {"effort": "high"},
+        },
+        litellm_params={},
+        headers={},
+    )
+
+    additional = result.get("additionalModelRequestFields", {})
+    assert additional.get("output_config") == {"effort": "high"}
+
+
+@pytest.mark.parametrize(
+    "effort",
+    ["disabled", "invalid", ""],
+)
+def test_reasoning_effort_garbage_raises_bad_request_converse(effort):
+    """Unmapped reasoning_effort on Bedrock Converse Anthropic raises BadRequestError."""
+    config = AmazonConverseConfig()
+
+    with pytest.raises(litellm.exceptions.BadRequestError):
+        config.map_openai_params(
+            non_default_params={"reasoning_effort": effort},
+            optional_params={},
+            model="bedrock/converse/us.anthropic.claude-opus-4-7",
+            drop_params=False,
+        )
+
+
+@pytest.mark.parametrize(
+    "model",
+    [
+        "bedrock/converse/us.anthropic.claude-sonnet-4-6",
+        "bedrock/converse/global.anthropic.claude-sonnet-4-6",
+        "bedrock/converse/eu.anthropic.claude-sonnet-4-6",
+        "bedrock/converse/au.anthropic.claude-sonnet-4-6",
+    ],
+)
+def test_output_config_effort_max_passes_through_on_sonnet_46_variants(model):
+    """``effort='max'`` flows through for every Bedrock Converse Sonnet 4.6 id."""
+    config = AmazonConverseConfig()
+    messages = [{"role": "user", "content": "hi"}]
+
+    result = config._transform_request(
+        model=model,
+        messages=messages,
+        optional_params={
+            "maxTokens": 256,
+            "output_config": {"effort": "max"},
+        },
+        litellm_params={},
+        headers={},
+    )
+
+    additional = result.get("additionalModelRequestFields", {})
+    assert additional.get("output_config") == {"effort": "max"}
+
+
 def test_get_supported_openai_params():
     config = AmazonConverseConfig()
     supported_params = config.get_supported_openai_params(
@@ -3329,6 +3434,57 @@ def test_transform_request_strips_anthropic_output_config():
     assert "output_config" not in additional_fields
 
 
+def test_converse_drop_params_strips_output_config_for_pre_4_5_anthropic():
+    """``drop_params=True`` strips unsupported ``output_config`` on Bedrock Converse."""
+    config = AmazonConverseConfig()
+    messages = [{"role": "user", "content": "hi"}]
+
+    original = litellm.drop_params
+    litellm.drop_params = True
+    try:
+        result = config._transform_request(
+            model="bedrock/converse/anthropic.claude-3-haiku-20240307-v1:0",
+            messages=messages,
+            optional_params={
+                "maxTokens": 256,
+                "output_config": {"effort": "low"},
+            },
+            litellm_params={},
+            headers={},
+        )
+    finally:
+        litellm.drop_params = original
+
+    additional = result.get("additionalModelRequestFields", {})
+    assert "output_config" not in additional
+
+
+def test_converse_drop_params_keeps_output_config_for_supporting_anthropic():
+    """``drop_params=True`` does not strip on models that support ``output_config``."""
+    config = AmazonConverseConfig()
+    messages = [{"role": "user", "content": "hi"}]
+
+    original = litellm.drop_params
+    litellm.drop_params = True
+    try:
+        result = config._transform_request(
+            model="bedrock/converse/us.anthropic.claude-opus-4-7",
+            messages=messages,
+            optional_params={
+                "maxTokens": 256,
+                "thinking": {"type": "adaptive"},
+                "output_config": {"effort": "high"},
+            },
+            litellm_params={},
+            headers={},
+        )
+    finally:
+        litellm.drop_params = original
+
+    additional = result.get("additionalModelRequestFields", {})
+    assert additional.get("output_config") == {"effort": "high"}
+
+
 def test_transform_response_native_structured_output():
     """Test response handling when model returns JSON as text content (native structured output)."""
     response_json = {
diff --git a/tests/test_litellm/llms/bedrock/files/test_bedrock_files_handler.py b/tests/test_litellm/llms/bedrock/files/test_bedrock_files_handler.py
new file mode 100644
index 00000000000..7f91b49a6f5
--- /dev/null
+++ b/tests/test_litellm/llms/bedrock/files/test_bedrock_files_handler.py
@@ -0,0 +1,206 @@
+import base64
+import os
+from types import MappingProxyType
+from unittest.mock import MagicMock, patch
+
+import pytest
+
+import litellm.files.main as files_main
+from litellm.llms.bedrock.files.handler import BedrockFilesHandler
+from litellm.types.utils import SpecialEnums
+
+
+def _encode_unified_file_id(s3_uri: str) -> str:
+    unified_file_id = SpecialEnums.LITELLM_MANAGED_FILE_COMPLETE_STR.value.format(
+        "application/json",
+        "unified-id",
+        "",
+        s3_uri,
+        "model-id",
+    )
+    return base64.urlsafe_b64encode(unified_file_id.encode()).decode().rstrip("=")
+
+
+class TestBedrockFilesHandler:
+    def setup_method(self):
+        self.handler = BedrockFilesHandler()
+
+    def test_should_parse_direct_managed_s3_uri(self):
+        bucket, key = self.handler._parse_s3_uri(
+            s3_uri="s3://safe-bucket/litellm-bedrock-files-model-id-abc.jsonl",
+            configured_bucket_name="safe-bucket",
+        )
+
+        assert bucket == "safe-bucket"
+        assert key == "litellm-bedrock-files-model-id-abc.jsonl"
+
+    def test_should_parse_managed_batch_output_uri(self):
+        bucket, key = self.handler._parse_s3_uri(
+            s3_uri="s3://safe-bucket/litellm-batch-outputs/job/",
+            configured_bucket_name="safe-bucket",
+        )
+
+        assert bucket == "safe-bucket"
+        assert key == "litellm-batch-outputs/job/"
+
+    def test_should_reject_arbitrary_bucket(self):
+        with pytest.raises(ValueError, match="configured storage bucket"):
+            self.handler._parse_s3_uri(
+                s3_uri="s3://other-bucket/litellm-bedrock-files-model-id-abc.jsonl",
+                configured_bucket_name="safe-bucket",
+            )
+
+    def test_should_reject_unmanaged_same_bucket_key(self):
+        with pytest.raises(ValueError, match="LiteLLM-managed"):
+            self.handler._parse_s3_uri(
+                s3_uri="s3://safe-bucket/private/output.jsonl",
+                configured_bucket_name="safe-bucket",
+            )
+
+    def test_should_allow_legacy_same_bucket_key_when_server_flag_enabled(self):
+        bucket, key = self.handler._parse_s3_uri(
+            s3_uri="s3://safe-bucket/private/output.jsonl",
+            configured_bucket_name="safe-bucket",
+            allow_legacy_cloud_file_ids=True,
+        )
+
+        assert bucket == "safe-bucket"
+        assert key == "private/output.jsonl"
+
+    def test_should_keep_configured_prefix_for_legacy_keys(self):
+        bucket, key = self.handler._parse_s3_uri(
+            s3_uri="s3://safe-bucket/team-a/private/output.jsonl",
+            configured_bucket_name="safe-bucket/team-a",
+            allow_legacy_cloud_file_ids=True,
+        )
+
+        assert bucket == "safe-bucket"
+        assert key == "team-a/private/output.jsonl"
+
+    def test_should_reject_legacy_key_outside_configured_prefix(self):
+        with pytest.raises(ValueError, match="configured storage prefix"):
+            self.handler._parse_s3_uri(
+                s3_uri="s3://safe-bucket/team-b/private/output.jsonl",
+                configured_bucket_name="safe-bucket/team-a",
+                allow_legacy_cloud_file_ids=True,
+            )
+
+    def test_should_reject_dot_segment_key(self):
+        with pytest.raises(ValueError, match="invalid path segment"):
+            self.handler._parse_s3_uri(
+                s3_uri="s3://safe-bucket/litellm-bedrock-files/../secret.jsonl",
+                configured_bucket_name="safe-bucket",
+            )
+
+    def test_should_reject_empty_middle_path_segment(self):
+        with pytest.raises(ValueError, match="invalid path segment"):
+            self.handler._parse_s3_uri(
+                s3_uri="s3://safe-bucket/litellm-bedrock-files//secret.jsonl",
+                configured_bucket_name="safe-bucket",
+            )
+
+    def test_should_extract_unified_managed_s3_uri(self):
+        file_id = _encode_unified_file_id(
+            "s3://safe-bucket/litellm-batch-outputs/job/output.jsonl"
+        )
+
+        assert (
+            self.handler._extract_s3_uri_from_file_id(file_id)
+            == "s3://safe-bucket/litellm-batch-outputs/job/output.jsonl"
+        )
+
+    def test_should_reject_file_id_without_s3_scheme(self):
+        with pytest.raises(ValueError, match="managed LiteLLM S3 file id"):
+            self.handler._extract_s3_uri_from_file_id("safe-bucket/private.jsonl")
+
+    def test_should_reject_unified_unmanaged_s3_uri(self):
+        file_id = _encode_unified_file_id("s3://safe-bucket/private/output.jsonl")
+        s3_uri = self.handler._extract_s3_uri_from_file_id(file_id)
+
+        with pytest.raises(ValueError, match="LiteLLM-managed"):
+            self.handler._parse_s3_uri(
+                s3_uri=s3_uri,
+                configured_bucket_name="safe-bucket",
+            )
+
+    def test_should_not_trust_request_s3_bucket_name_for_expected_bucket(self):
+        with patch.dict(os.environ, {"AWS_S3_BUCKET_NAME": "safe-bucket"}):
+            assert (
+                self.handler._get_configured_s3_bucket_name(
+                    {"s3_bucket_name": "attacker-bucket"}
+                )
+                == "safe-bucket"
+            )
+
+    def test_should_trust_proxy_config_s3_bucket_name_for_expected_bucket(self):
+        trusted_credentials = MappingProxyType({"s3_bucket_name": "safe-bucket"})
+
+        with patch.dict(os.environ, {}, clear=True):
+            assert (
+                self.handler._get_configured_s3_bucket_name(
+                    {
+                        "s3_bucket_name": "attacker-bucket",
+                        "_litellm_internal_model_credentials": trusted_credentials,
+                    }
+                )
+                == "safe-bucket"
+            )
+
+    def test_should_not_trust_user_supplied_internal_credentials_dict(self):
+        with patch.dict(os.environ, {}, clear=True):
+            with pytest.raises(ValueError, match="S3 bucket_name is required"):
+                self.handler._get_configured_s3_bucket_name(
+                    {
+                        "_litellm_internal_model_credentials": {
+                            "s3_bucket_name": "attacker-bucket"
+                        }
+                    }
+                )
+
+    def test_should_require_server_s3_bucket_name(self):
+        with patch.dict(os.environ, {}, clear=True):
+            with pytest.raises(ValueError, match="S3 bucket_name is required"):
+                self.handler._get_configured_s3_bucket_name(
+                    {"s3_bucket_name": "attacker-bucket"}
+                )
+
+
+def test_should_forward_trusted_model_credentials_to_bedrock_provider_config():
+    trusted_credentials = MappingProxyType({"s3_bucket_name": "safe-bucket"})
+    mock_response = MagicMock()
+
+    with patch.object(
+        files_main.base_llm_http_handler,
+        "retrieve_file_content",
+        return_value=mock_response,
+    ) as mock_retrieve_file_content:
+        response = files_main.file_content(
+            file_id="s3://safe-bucket/litellm-bedrock-files/file.jsonl",
+            custom_llm_provider="bedrock",
+            _litellm_internal_model_credentials=trusted_credentials,
+        )
+
+    assert response is mock_response
+    litellm_params = mock_retrieve_file_content.call_args.kwargs["litellm_params"]
+    assert litellm_params["_litellm_internal_model_credentials"] is trusted_credentials
+    assert "s3_bucket_name" not in litellm_params
+
+
+def test_should_forward_trusted_model_credentials_to_retrieve_provider_config():
+    trusted_credentials = MappingProxyType({"allow_legacy_cloud_file_ids": True})
+    mock_response = MagicMock()
+
+    with patch.object(
+        files_main.base_llm_http_handler,
+        "retrieve_file",
+        return_value=mock_response,
+    ) as mock_retrieve_file:
+        response = files_main.file_retrieve(
+            file_id="gs://safe-bucket/private/file.jsonl",
+            custom_llm_provider="vertex_ai",
+            _litellm_internal_model_credentials=trusted_credentials,
+        )
+
+    assert response is mock_response
+    litellm_params = mock_retrieve_file.call_args.kwargs["litellm_params"]
+    assert litellm_params["_litellm_internal_model_credentials"] is trusted_credentials
diff --git a/tests/test_litellm/llms/bedrock/files/test_bedrock_files_transformation.py b/tests/test_litellm/llms/bedrock/files/test_bedrock_files_transformation.py
index d9a2ddefd34..5245612e9d3 100644
--- a/tests/test_litellm/llms/bedrock/files/test_bedrock_files_transformation.py
+++ b/tests/test_litellm/llms/bedrock/files/test_bedrock_files_transformation.py
@@ -4,9 +4,7 @@ Test bedrock files transformation functionality
 
 import json
 import os
-from typing import Any, Dict, List
-
-import pytest
+from urllib.parse import unquote, urlparse
 
 from litellm.llms.bedrock.files.transformation import BedrockJsonlFilesTransformation
 
@@ -43,19 +41,6 @@ class TestBedrockFilesTransformation:
             )
         )
 
-        # Print the transformation results for validation
-        print("\n=== INPUT (OpenAI format) ===")
-        for i, content in enumerate(openai_jsonl_content):
-            print(f"Record {i+1}:")
-            print(json.dumps(content, indent=2))
-            print()
-
-        print("\n=== OUTPUT (Bedrock format) ===")
-        for i, content in enumerate(bedrock_jsonl_content):
-            print(f"Record {i+1}:")
-            print(json.dumps(content, indent=2))
-            print()
-
         # Basic validation
         assert len(bedrock_jsonl_content) == len(
             openai_jsonl_content
@@ -88,17 +73,6 @@ class TestBedrockFilesTransformation:
                     "max_tokens" in model_input
                 ), f"Record {i+1} should have max_tokens"
 
-        # Write expected output to file for reference
-        expected_output_path = os.path.join(
-            os.path.dirname(__file__), "expected_bedrock_batch_completions.jsonl"
-        )
-
-        with open(expected_output_path, "w") as f:
-            for record in bedrock_jsonl_content:
-                f.write(json.dumps(record) + "\n")
-
-        print(f"\n=== Expected output written to: {expected_output_path} ===")
-
     def test_nova_text_only_uses_converse_format(self):
         """
         Test that Nova models produce Converse API format in batch modelInput.
@@ -327,6 +301,44 @@ class TestBedrockFilesTransformation:
         ), f"us-west-2 must not appear when s3_region_name is set, got: {url}"
         assert "litellm-batch-352026" in url
 
+    def test_get_complete_file_url_sanitizes_untrusted_filename(self):
+        from litellm.llms.bedrock.files.transformation import BedrockFilesConfig
+
+        config = BedrockFilesConfig()
+        create_file_data = {
+            "file": ("../../owned.jsonl?acl=public", b"hello", "application/jsonl"),
+            "purpose": "assistants",
+        }
+
+        url = config.get_complete_file_url(
+            api_base=None,
+            api_key=None,
+            model="amazon.nova-pro-v1:0",
+            optional_params={"aws_region_name": "us-west-2"},
+            litellm_params={"s3_bucket_name": "safe-bucket"},
+            data=create_file_data,
+        )
+
+        parsed_url = urlparse(url)
+        object_key = unquote(parsed_url.path).split("/safe-bucket/", 1)[1]
+        assert object_key.startswith("litellm-bedrock-files/")
+        assert object_key.endswith("-owned.jsonl_acl_public")
+        assert ".." not in object_key
+        assert parsed_url.query == ""
+
+    def test_batch_object_name_sanitizes_model_path(self):
+        from litellm.llms.bedrock.files.transformation import BedrockFilesConfig
+
+        config = BedrockFilesConfig()
+        object_name = config._get_s3_object_name_from_batch_jsonl(
+            [{"body": {"model": "bedrock/../../secret:model"}}]
+        )
+
+        assert object_name.startswith("litellm-bedrock-files-")
+        assert object_name.endswith(".jsonl")
+        assert "/" not in object_name
+        assert ".." not in object_name
+
     def test_transform_create_file_request_injects_s3_region_for_signing(self):
         """
         When s3_region_name is provided, transform_create_file_request must pass
diff --git a/tests/test_litellm/llms/bedrock/messages/invoke_transformations/test_anthropic_claude3_transformation.py b/tests/test_litellm/llms/bedrock/messages/invoke_transformations/test_anthropic_claude3_transformation.py
index 93d56d4cd0d..c98f7840343 100644
--- a/tests/test_litellm/llms/bedrock/messages/invoke_transformations/test_anthropic_claude3_transformation.py
+++ b/tests/test_litellm/llms/bedrock/messages/invoke_transformations/test_anthropic_claude3_transformation.py
@@ -592,13 +592,8 @@ def test_remove_scope_from_cache_control():
     assert request["messages"][0]["content"][0]["cache_control"]["type"] == "ephemeral"
 
 
-def test_bedrock_messages_strips_output_config():
-    """
-    Ensure output_config is stripped from the request before sending to
-    Bedrock Invoke, which doesn't support this Anthropic-specific parameter.
-
-    Regression test for: https://github.com/BerriAI/litellm/issues/22797
-    """
+def test_bedrock_messages_forwards_output_config():
+    """Bedrock Invoke /v1/messages forwards ``output_config`` for adaptive Claude models."""
     from litellm.types.router import GenericLiteLLMParams
 
     cfg = AmazonAnthropicClaudeMessagesConfig()
@@ -611,26 +606,20 @@ def test_bedrock_messages_strips_output_config():
     }
 
     result = cfg.transform_anthropic_messages_request(
-        model="anthropic.claude-3-haiku-20240307-v1:0",
+        model="anthropic.claude-opus-4-7",
         messages=messages,
         anthropic_messages_optional_request_params=optional_params,
         litellm_params=GenericLiteLLMParams(),
         headers={},
     )
 
-    assert (
-        "output_config" not in result
-    ), "output_config should be stripped — Bedrock Invoke rejects it"
+    assert result.get("output_config") == {"effort": "high"}
     # Other params should be preserved
     assert result.get("max_tokens") == 4096
 
 
-def test_bedrock_messages_strips_output_config_with_output_format():
-    """
-    When both output_config and output_format are present, both should be
-    stripped (output_format is converted to inline schema, output_config
-    is simply dropped).
-    """
+def test_bedrock_messages_forwards_output_config_with_output_format():
+    """``output_config`` is forwarded; ``output_format`` is converted to inline schema."""
     from litellm.types.router import GenericLiteLLMParams
 
     cfg = AmazonAnthropicClaudeMessagesConfig()
@@ -647,6 +636,29 @@ def test_bedrock_messages_strips_output_config_with_output_format():
         },
     }
 
+    result = cfg.transform_anthropic_messages_request(
+        model="anthropic.claude-opus-4-7",
+        messages=messages,
+        anthropic_messages_optional_request_params=optional_params,
+        litellm_params=GenericLiteLLMParams(),
+        headers={},
+    )
+
+    assert result.get("output_config") == {"effort": "low"}
+    assert "output_format" not in result
+
+
+def test_bedrock_messages_forwards_output_config_for_non_adaptive_model():
+    """``output_config`` is forwarded for non-adaptive models so the provider's error surfaces."""
+    from litellm.types.router import GenericLiteLLMParams
+
+    cfg = AmazonAnthropicClaudeMessagesConfig()
+    messages = [{"role": "user", "content": [{"type": "text", "text": "Hello"}]}]
+    optional_params = {
+        "max_tokens": 4096,
+        "output_config": {"effort": "high"},
+    }
+
     result = cfg.transform_anthropic_messages_request(
         model="anthropic.claude-3-haiku-20240307-v1:0",
         messages=messages,
@@ -655,8 +667,201 @@ def test_bedrock_messages_strips_output_config_with_output_format():
         headers={},
     )
 
+    assert result.get("output_config") == {"effort": "high"}
+    assert result.get("max_tokens") == 4096
+
+
+def test_bedrock_messages_drop_params_strips_output_config_for_pre_4_5():
+    """``drop_params=True`` strips ``output_config`` for pre-4.5 Anthropic on /v1/messages."""
+    import litellm
+    from litellm.types.router import GenericLiteLLMParams
+
+    cfg = AmazonAnthropicClaudeMessagesConfig()
+    messages = [{"role": "user", "content": [{"type": "text", "text": "Hello"}]}]
+    optional_params = {
+        "max_tokens": 4096,
+        "output_config": {"effort": "low"},
+    }
+
+    original = litellm.drop_params
+    litellm.drop_params = True
+    try:
+        result = cfg.transform_anthropic_messages_request(
+            model="anthropic.claude-3-haiku-20240307-v1:0",
+            messages=messages,
+            anthropic_messages_optional_request_params=optional_params,
+            litellm_params=GenericLiteLLMParams(),
+            headers={},
+        )
+    finally:
+        litellm.drop_params = original
+
     assert "output_config" not in result
-    assert "output_format" not in result
+
+
+def test_bedrock_messages_drop_params_keeps_output_config_for_4_7():
+    """``drop_params=True`` does not strip on opus-4-7 (supports effort)."""
+    import litellm
+    from litellm.types.router import GenericLiteLLMParams
+
+    cfg = AmazonAnthropicClaudeMessagesConfig()
+    messages = [{"role": "user", "content": [{"type": "text", "text": "Hello"}]}]
+    optional_params = {
+        "max_tokens": 4096,
+        "output_config": {"effort": "high"},
+    }
+
+    original = litellm.drop_params
+    litellm.drop_params = True
+    try:
+        result = cfg.transform_anthropic_messages_request(
+            model="anthropic.claude-opus-4-7",
+            messages=messages,
+            anthropic_messages_optional_request_params=optional_params,
+            litellm_params=GenericLiteLLMParams(),
+            headers={},
+        )
+    finally:
+        litellm.drop_params = original
+
+    assert result.get("output_config") == {"effort": "high"}
+
+
+@pytest.mark.parametrize(
+    "reasoning_effort,expected_effort",
+    [
+        ("minimal", "low"),
+        ("low", "low"),
+        ("medium", "medium"),
+        ("high", "high"),
+        ("xhigh", "xhigh"),
+        ("max", "max"),
+    ],
+)
+def test_bedrock_messages_maps_reasoning_effort_for_adaptive_model(
+    reasoning_effort, expected_effort
+):
+    """``reasoning_effort`` maps to ``thinking`` + ``output_config.effort`` on /v1/messages."""
+    from litellm.types.router import GenericLiteLLMParams
+
+    cfg = AmazonAnthropicClaudeMessagesConfig()
+    messages = [{"role": "user", "content": [{"type": "text", "text": "Hello"}]}]
+    optional_params = {
+        "max_tokens": 4096,
+        "reasoning_effort": reasoning_effort,
+    }
+
+    result = cfg.transform_anthropic_messages_request(
+        model="anthropic.claude-opus-4-7",
+        messages=messages,
+        anthropic_messages_optional_request_params=optional_params,
+        litellm_params=GenericLiteLLMParams(),
+        headers={},
+    )
+
+    assert "reasoning_effort" not in result
+    assert result.get("thinking") == {"type": "adaptive"}
+    assert result.get("output_config") == {"effort": expected_effort}
+
+
+def test_bedrock_messages_reasoning_effort_on_non_adaptive_uses_thinking_budget():
+    """Non-adaptive models map ``reasoning_effort`` to ``thinking.budget_tokens``."""
+    from litellm.types.router import GenericLiteLLMParams
+
+    cfg = AmazonAnthropicClaudeMessagesConfig()
+    messages = [{"role": "user", "content": [{"type": "text", "text": "Hello"}]}]
+    optional_params = {
+        "max_tokens": 4096,
+        "reasoning_effort": "medium",
+    }
+
+    result = cfg.transform_anthropic_messages_request(
+        model="anthropic.claude-opus-4-5-20251101-v1:0",
+        messages=messages,
+        anthropic_messages_optional_request_params=optional_params,
+        litellm_params=GenericLiteLLMParams(),
+        headers={},
+    )
+
+    assert "reasoning_effort" not in result
+    assert "output_config" not in result
+    thinking = result.get("thinking")
+    assert isinstance(thinking, dict)
+    assert thinking.get("type") == "enabled"
+    assert isinstance(thinking.get("budget_tokens"), int)
+    assert thinking["budget_tokens"] >= 1024
+
+
+def test_bedrock_messages_reasoning_effort_none_clears_thinking():
+    """``reasoning_effort='none'`` clears both ``thinking`` and ``output_config``."""
+    from litellm.types.router import GenericLiteLLMParams
+
+    cfg = AmazonAnthropicClaudeMessagesConfig()
+    messages = [{"role": "user", "content": [{"type": "text", "text": "Hello"}]}]
+    optional_params = {
+        "max_tokens": 4096,
+        "reasoning_effort": "none",
+        "output_config": {"effort": "high"},
+        "thinking": {"type": "adaptive"},
+    }
+
+    result = cfg.transform_anthropic_messages_request(
+        model="anthropic.claude-opus-4-7",
+        messages=messages,
+        anthropic_messages_optional_request_params=optional_params,
+        litellm_params=GenericLiteLLMParams(),
+        headers={},
+    )
+
+    assert "reasoning_effort" not in result
+    assert "thinking" not in result
+    assert "output_config" not in result
+
+
+def test_bedrock_messages_invalid_reasoning_effort_raises_400():
+    """Garbage ``reasoning_effort`` raises AnthropicError (400)."""
+    from litellm.llms.anthropic.common_utils import AnthropicError
+    from litellm.types.router import GenericLiteLLMParams
+
+    cfg = AmazonAnthropicClaudeMessagesConfig()
+    messages = [{"role": "user", "content": [{"type": "text", "text": "Hello"}]}]
+
+    for bad_effort in ("invalid", "disabled", ""):
+        with pytest.raises(AnthropicError):
+            cfg.transform_anthropic_messages_request(
+                model="anthropic.claude-opus-4-7",
+                messages=messages,
+                anthropic_messages_optional_request_params={
+                    "max_tokens": 4096,
+                    "reasoning_effort": bad_effort,
+                },
+                litellm_params=GenericLiteLLMParams(),
+                headers={},
+            )
+
+
+def test_bedrock_messages_explicit_output_config_wins_over_reasoning_effort():
+    """Explicit ``output_config.effort`` wins over the ``reasoning_effort`` alias."""
+    from litellm.types.router import GenericLiteLLMParams
+
+    cfg = AmazonAnthropicClaudeMessagesConfig()
+    messages = [{"role": "user", "content": [{"type": "text", "text": "Hello"}]}]
+    optional_params = {
+        "max_tokens": 4096,
+        "reasoning_effort": "low",
+        "output_config": {"effort": "max"},
+    }
+
+    result = cfg.transform_anthropic_messages_request(
+        model="anthropic.claude-opus-4-7",
+        messages=messages,
+        anthropic_messages_optional_request_params=optional_params,
+        litellm_params=GenericLiteLLMParams(),
+        headers={},
+    )
+
+    assert "reasoning_effort" not in result
+    assert result.get("output_config") == {"effort": "max"}
 
 
 def test_bedrock_messages_strips_context_management():
@@ -728,13 +933,13 @@ def test_bedrock_messages_allowlist_filters_anthropic_only_fields():
         "mcp_servers",
         "container",
         "inference_geo",
-        "output_config",
         "context_management",
         "model",
         "stream",
     ):
         assert bad not in result, f"{bad} should be stripped by the allowlist"
 
+    assert result.get("output_config") == {"effort": "low"}
     # Supported fields pass through.
     assert result["max_tokens"] == 4096
     assert result["temperature"] == 0.5
@@ -882,7 +1087,10 @@ async def test_promote_message_start_cache_when_message_stop_omits_cache_fields(
             "delta": {"stop_reason": "end_turn", "stop_sequence": None},
             "usage": {"input_tokens": 10, "output_tokens": 181},
         }
-        yield {"type": "message_stop", "usage": {"input_tokens": 10, "output_tokens": 181}}
+        yield {
+            "type": "message_stop",
+            "usage": {"input_tokens": 10, "output_tokens": 181},
+        }
 
     merged: list[dict] = []
     async for chunk in cfg._promote_message_stop_usage(_stream()):
@@ -936,7 +1144,11 @@ async def test_unified_bedrock_messages_cache_on_start_only_never_negative_cost(
                 },
             },
         }
-        yield {"type": "content_block_start", "index": 0, "content_block": {"type": "text", "text": ""}}
+        yield {
+            "type": "content_block_start",
+            "index": 0,
+            "content_block": {"type": "text", "text": ""},
+        }
         yield {
             "type": "content_block_delta",
             "index": 0,
@@ -948,7 +1160,10 @@ async def test_unified_bedrock_messages_cache_on_start_only_never_negative_cost(
             "delta": {"stop_reason": "end_turn", "stop_sequence": None},
             "usage": {"output_tokens": 181, "input_tokens": 10},
         }
-        yield {"type": "message_stop", "usage": {"input_tokens": 10, "output_tokens": 181}}
+        yield {
+            "type": "message_stop",
+            "usage": {"input_tokens": 10, "output_tokens": 181},
+        }
 
     logging_obj = LiteLLMLoggingObj(
         model="bedrock/anthropic.claude-3-5-sonnet-20240620-v1:0",
diff --git a/tests/test_litellm/llms/litellm_proxy/test_skills_ownership.py b/tests/test_litellm/llms/litellm_proxy/test_skills_ownership.py
new file mode 100644
index 00000000000..3ffba9723bd
--- /dev/null
+++ b/tests/test_litellm/llms/litellm_proxy/test_skills_ownership.py
@@ -0,0 +1,516 @@
+from unittest.mock import AsyncMock, Mock
+
+import pytest
+
+from litellm.llms.litellm_proxy.skills import handler as skills_handler
+from litellm.llms.litellm_proxy.skills.handler import LiteLLMSkillsHandler
+from litellm.llms.litellm_proxy.skills.transformation import (
+    LiteLLMSkillsTransformationHandler,
+)
+from litellm.proxy._types import (
+    LiteLLM_SkillsTable,
+    LitellmUserRoles,
+    NewSkillRequest,
+    UserAPIKeyAuth,
+)
+from litellm.proxy.common_utils import resource_ownership
+from litellm.skills import main as skills_main
+
+
+@pytest.fixture(autouse=True)
+def clear_skill_cache():
+    skills_handler._SKILL_CACHE.cache_dict.clear()
+    skills_handler._SKILL_CACHE.ttl_dict.clear()
+    yield
+    skills_handler._SKILL_CACHE.cache_dict.clear()
+    skills_handler._SKILL_CACHE.ttl_dict.clear()
+
+
+def _skill(skill_id: str, created_by: str | None) -> LiteLLM_SkillsTable:
+    return LiteLLM_SkillsTable(
+        skill_id=skill_id,
+        display_title="skill",
+        created_by=created_by,
+    )
+
+
+def test_should_extract_skill_auth_from_supported_metadata_fields():
+    auth = UserAPIKeyAuth(user_id="user-1")
+
+    assert (
+        skills_main._get_user_api_key_auth_from_kwargs(
+            {"metadata": {"user_api_key_auth": auth}}
+        )
+        is auth
+    )
+    assert (
+        skills_main._get_user_api_key_auth_from_kwargs(
+            {"metadata": {}, "litellm_metadata": {"user_api_key_auth": auth}}
+        )
+        is auth
+    )
+    assert skills_main._get_user_api_key_auth_from_kwargs({"metadata": "bad"}) is None
+
+
+def test_should_extract_skill_request_metadata_with_extra_body_precedence():
+    body_metadata = {"purpose": "body"}
+    requester_metadata = {"purpose": "requester"}
+
+    assert (
+        skills_main._get_skill_request_metadata(
+            {"metadata": {"requester_metadata": requester_metadata}},
+            {"metadata": body_metadata},
+        )
+        == body_metadata
+    )
+    assert (
+        skills_main._get_skill_request_metadata(
+            {"metadata": {"requester_metadata": requester_metadata}},
+            None,
+        )
+        == requester_metadata
+    )
+    assert (
+        skills_main._get_skill_request_metadata(
+            {"metadata": {}},
+            {"metadata": "bad"},
+        )
+        is None
+    )
+
+
+def test_should_forward_skill_auth_through_sdk_entrypoints(monkeypatch):
+    auth = UserAPIKeyAuth(user_id="user-1")
+    handler = Mock()
+    handler.create_skill_handler.return_value = "created"
+    handler.list_skills_handler.return_value = "listed"
+    handler.get_skill_handler.return_value = "got"
+    handler.delete_skill_handler.return_value = "deleted"
+    monkeypatch.setattr(skills_main, "_get_litellm_skills_handler", lambda: handler)
+
+    assert (
+        skills_main.create_skill(
+            display_title="skill",
+            extra_body={"metadata": {"source": "request"}},
+            custom_llm_provider="litellm_proxy",
+            metadata={"user_api_key_auth": auth},
+            user_id="user-1",
+        )
+        == "created"
+    )
+    assert (
+        skills_main.list_skills(
+            custom_llm_provider="litellm_proxy",
+            metadata={"user_api_key_auth": auth},
+        )
+        == "listed"
+    )
+    assert (
+        skills_main.get_skill(
+            "litellm_skill_1",
+            custom_llm_provider="litellm_proxy",
+            metadata={"user_api_key_auth": auth},
+        )
+        == "got"
+    )
+    assert (
+        skills_main.delete_skill(
+            "litellm_skill_1",
+            custom_llm_provider="litellm_proxy",
+            metadata={"user_api_key_auth": auth},
+        )
+        == "deleted"
+    )
+
+    assert handler.create_skill_handler.call_args.kwargs["metadata"] == {
+        "source": "request"
+    }
+    assert handler.create_skill_handler.call_args.kwargs["user_api_key_dict"] is auth
+    assert handler.list_skills_handler.call_args.kwargs["user_api_key_dict"] is auth
+    assert handler.get_skill_handler.call_args.kwargs["user_api_key_dict"] is auth
+    assert handler.delete_skill_handler.call_args.kwargs["user_api_key_dict"] is auth
+
+
+def test_should_build_resource_owner_scopes_for_auth_context():
+    auth = UserAPIKeyAuth(
+        user_id="user-1",
+        team_id="team-1",
+        org_id="org-1",
+        api_key="api-key-hash",
+        token="token-hash",
+    )
+
+    assert resource_ownership.get_resource_owner_scopes(auth) == [
+        "user-1",
+        "user:user-1",
+        "team:team-1",
+        "org:org-1",
+        "key:api-key-hash",
+    ]
+    assert resource_ownership.get_primary_resource_owner_scope(auth) == "user-1"
+    assert resource_ownership.user_can_access_resource_owner("team:team-1", auth)
+    assert resource_ownership.get_resource_owner_scopes(
+        UserAPIKeyAuth(token="token-hash")
+    ) == ["key:token-hash"]
+    # Identity-less callers get an empty scope set — sharing a sentinel
+    # would collapse every identity-less caller into the same logical
+    # owner, which is a cross-tenant data-access primitive.
+    assert resource_ownership.get_resource_owner_scopes(UserAPIKeyAuth()) == []
+    assert resource_ownership.get_primary_resource_owner_scope(UserAPIKeyAuth()) is None
+
+
+def test_should_allow_admin_and_anonymous_resource_owner_paths():
+    admin = UserAPIKeyAuth(user_role=LitellmUserRoles.PROXY_ADMIN.value)
+
+    assert resource_ownership.is_proxy_admin(admin)
+    assert resource_ownership.user_can_access_resource_owner(None, admin)
+    assert resource_ownership.user_can_access_resource_owner(None, None)
+    assert not resource_ownership.user_can_access_resource_owner(
+        None, UserAPIKeyAuth(user_id="user-1")
+    )
+
+
+@pytest.mark.asyncio
+async def test_should_forward_skill_auth_through_transformation_handler(monkeypatch):
+    handler = LiteLLMSkillsTransformationHandler()
+    auth = UserAPIKeyAuth(user_id="user-1")
+
+    create_skill = AsyncMock(return_value=_skill("litellm_skill_created", "user-1"))
+    list_skills = AsyncMock(return_value=[_skill("litellm_skill_listed", "user-1")])
+    get_skill = AsyncMock(return_value=_skill("litellm_skill_got", "user-1"))
+    delete_skill = AsyncMock(return_value={"id": "litellm_skill_deleted"})
+    monkeypatch.setattr(LiteLLMSkillsHandler, "create_skill", create_skill)
+    monkeypatch.setattr(LiteLLMSkillsHandler, "list_skills", list_skills)
+    monkeypatch.setattr(LiteLLMSkillsHandler, "get_skill", get_skill)
+    monkeypatch.setattr(LiteLLMSkillsHandler, "delete_skill", delete_skill)
+
+    created = await handler._async_create_skill(
+        display_title="skill",
+        metadata={"source": "request"},
+        user_id="user-1",
+        user_api_key_dict=auth,
+    )
+    listed = await handler._async_list_skills(
+        limit=10,
+        offset=2,
+        user_api_key_dict=auth,
+    )
+    got = await handler._async_get_skill(
+        "litellm_skill_got",
+        user_api_key_dict=auth,
+    )
+    deleted = await handler._async_delete_skill(
+        "litellm_skill_deleted",
+        user_api_key_dict=auth,
+    )
+
+    assert created.id == "litellm_skill_created"
+    assert [skill.id for skill in listed.data] == ["litellm_skill_listed"]
+    assert got.id == "litellm_skill_got"
+    assert deleted.id == "litellm_skill_deleted"
+    assert create_skill.await_args.kwargs["user_api_key_dict"] is auth
+    assert list_skills.await_args.kwargs["user_api_key_dict"] is auth
+    assert get_skill.await_args.kwargs["user_api_key_dict"] is auth
+    assert delete_skill.await_args.kwargs["user_api_key_dict"] is auth
+
+
+@pytest.mark.asyncio
+async def test_should_store_team_owner_for_keys_without_user_id(monkeypatch):
+    table = AsyncMock()
+    table.create.side_effect = lambda data: _skill(data["skill_id"], data["created_by"])
+    prisma_client = type(
+        "Prisma", (), {"db": type("DB", (), {"litellm_skillstable": table})()}
+    )()
+    monkeypatch.setattr(
+        LiteLLMSkillsHandler,
+        "_get_prisma_client",
+        AsyncMock(return_value=prisma_client),
+    )
+
+    auth = UserAPIKeyAuth(team_id="team-1")
+
+    skill = await LiteLLMSkillsHandler.create_skill(
+        data=NewSkillRequest(display_title="skill"),
+        user_api_key_dict=auth,
+    )
+
+    assert skill.created_by == "team:team-1"
+    assert table.create.await_args.kwargs["data"]["updated_by"] == "team:team-1"
+
+
+@pytest.mark.asyncio
+async def test_should_store_token_owner_for_keys_without_user_team_or_org(monkeypatch):
+    table = AsyncMock()
+    table.create.side_effect = lambda data: _skill(data["skill_id"], data["created_by"])
+    prisma_client = type(
+        "Prisma", (), {"db": type("DB", (), {"litellm_skillstable": table})()}
+    )()
+    monkeypatch.setattr(
+        LiteLLMSkillsHandler,
+        "_get_prisma_client",
+        AsyncMock(return_value=prisma_client),
+    )
+
+    auth = UserAPIKeyAuth(token="hashed-token")
+
+    skill = await LiteLLMSkillsHandler.create_skill(
+        data=NewSkillRequest(display_title="skill"),
+        user_api_key_dict=auth,
+    )
+
+    assert skill.created_by == "key:hashed-token"
+    assert table.create.await_args.kwargs["data"]["updated_by"] == "key:hashed-token"
+
+
+@pytest.mark.asyncio
+async def test_should_reject_skill_create_for_identityless_proxy_auth(monkeypatch):
+    """Identity-less callers cannot create skills — stamping a shared
+    sentinel as ``created_by`` would let any two such callers see each
+    other's skills via the resulting shared owner scope."""
+    table = AsyncMock()
+    prisma_client = type(
+        "Prisma", (), {"db": type("DB", (), {"litellm_skillstable": table})()}
+    )()
+    monkeypatch.setattr(
+        LiteLLMSkillsHandler,
+        "_get_prisma_client",
+        AsyncMock(return_value=prisma_client),
+    )
+
+    auth = UserAPIKeyAuth()
+
+    with pytest.raises(ValueError, match="identity scope"):
+        await LiteLLMSkillsHandler.create_skill(
+            data=NewSkillRequest(display_title="skill"),
+            user_api_key_dict=auth,
+        )
+    table.create.assert_not_awaited()
+
+
+@pytest.mark.asyncio
+async def test_should_filter_list_skills_to_authenticated_owner_scopes(monkeypatch):
+    table = AsyncMock()
+    table.find_many.return_value = [_skill("litellm_skill_owner", "user-1")]
+    prisma_client = type(
+        "Prisma", (), {"db": type("DB", (), {"litellm_skillstable": table})()}
+    )()
+    monkeypatch.setattr(
+        LiteLLMSkillsHandler,
+        "_get_prisma_client",
+        AsyncMock(return_value=prisma_client),
+    )
+
+    auth = UserAPIKeyAuth(user_id="user-1", team_id="team-1")
+
+    skills = await LiteLLMSkillsHandler.list_skills(user_api_key_dict=auth)
+
+    assert [skill.skill_id for skill in skills] == ["litellm_skill_owner"]
+    table.find_many.assert_awaited_once()
+    where = table.find_many.await_args.kwargs["where"]
+    assert where["created_by"]["in"] == [
+        "user-1",
+        "user:user-1",
+        "team:team-1",
+    ]
+
+
+@pytest.mark.asyncio
+async def test_should_hide_skill_from_different_owner(monkeypatch):
+    table = AsyncMock()
+    table.find_unique.return_value = _skill("litellm_skill_other", "user-2")
+    prisma_client = type(
+        "Prisma", (), {"db": type("DB", (), {"litellm_skillstable": table})()}
+    )()
+    monkeypatch.setattr(
+        LiteLLMSkillsHandler,
+        "_get_prisma_client",
+        AsyncMock(return_value=prisma_client),
+    )
+
+    auth = UserAPIKeyAuth(user_id="user-1")
+
+    with pytest.raises(ValueError, match="Skill not found"):
+        await LiteLLMSkillsHandler.get_skill(
+            "litellm_skill_other",
+            user_api_key_dict=auth,
+        )
+
+
+@pytest.mark.asyncio
+async def test_should_hide_unowned_skill_by_default(monkeypatch):
+    table = AsyncMock()
+    table.find_unique.return_value = _skill("litellm_skill_unowned", None)
+    prisma_client = type(
+        "Prisma", (), {"db": type("DB", (), {"litellm_skillstable": table})()}
+    )()
+    monkeypatch.setattr(
+        LiteLLMSkillsHandler,
+        "_get_prisma_client",
+        AsyncMock(return_value=prisma_client),
+    )
+
+    auth = UserAPIKeyAuth(user_id="user-1")
+
+    with pytest.raises(ValueError, match="Skill not found"):
+        await LiteLLMSkillsHandler.get_skill(
+            "litellm_skill_unowned",
+            user_api_key_dict=auth,
+        )
+
+
+@pytest.mark.asyncio
+async def test_unowned_skill_is_admin_only(monkeypatch):
+    """Pre-isolation skills with no ``created_by`` are admin-only — non-admin
+    callers see the same "not found" they'd see for a missing row, with no
+    opt-out env var that re-opens the cross-tenant access primitive."""
+    table = AsyncMock()
+    table.find_unique.return_value = _skill("litellm_skill_unowned", None)
+    prisma_client = type(
+        "Prisma", (), {"db": type("DB", (), {"litellm_skillstable": table})()}
+    )()
+    monkeypatch.setattr(
+        LiteLLMSkillsHandler,
+        "_get_prisma_client",
+        AsyncMock(return_value=prisma_client),
+    )
+
+    auth = UserAPIKeyAuth(user_id="user-1")
+
+    with pytest.raises(ValueError, match="Skill not found"):
+        await LiteLLMSkillsHandler.get_skill(
+            "litellm_skill_unowned",
+            user_api_key_dict=auth,
+        )
+
+
+@pytest.mark.asyncio
+async def test_list_skills_excludes_unowned_for_non_admin(monkeypatch):
+    """Non-admin list queries scope to ``created_by IN owner_scopes``; rows
+    with ``created_by IS NULL`` are excluded — admin-only."""
+    table = AsyncMock()
+    table.find_many.return_value = []
+    prisma_client = type(
+        "Prisma", (), {"db": type("DB", (), {"litellm_skillstable": table})()}
+    )()
+    monkeypatch.setattr(
+        LiteLLMSkillsHandler,
+        "_get_prisma_client",
+        AsyncMock(return_value=prisma_client),
+    )
+
+    auth = UserAPIKeyAuth(user_id="user-1")
+    await LiteLLMSkillsHandler.list_skills(user_api_key_dict=auth)
+
+    where = table.find_many.await_args.kwargs["where"]
+    # No OR fallback to ``created_by IS NULL`` — strict scope only.
+    assert where == {"created_by": {"in": ["user-1", "user:user-1"]}}
+
+
+@pytest.mark.asyncio
+async def test_should_scope_skill_injection_fetch_to_authenticated_user(monkeypatch):
+    from litellm.proxy.hooks.litellm_skills.main import SkillsInjectionHook
+
+    fetch = AsyncMock(return_value=None)
+    monkeypatch.setattr(LiteLLMSkillsHandler, "fetch_skill_from_db", fetch)
+
+    auth = UserAPIKeyAuth(user_id="user-1")
+    hook = SkillsInjectionHook()
+    data = {
+        "container": {
+            "skills": [
+                {"skill_id": "litellm_skill_other"},
+            ]
+        }
+    }
+
+    response = await hook.async_pre_call_hook(
+        user_api_key_dict=auth,
+        cache=AsyncMock(),
+        data=data,
+        call_type="completion",
+    )
+
+    assert response == data
+    fetch.assert_awaited_once_with(
+        "litellm_skill_other",
+        user_api_key_dict=auth,
+    )
+
+
+# ── Cache layer ────────────────────────────────────────────────────────────
+
+
+@pytest.mark.asyncio
+async def test_load_skill_uses_cache_after_first_db_hit(monkeypatch):
+    """``fetch_skill_from_db`` runs per chat-completion; the cache absorbs
+    repeats so we don't issue a Prisma query on every request."""
+    fake_skill = Mock(created_by="user-1", skill_id="litellm_skill_a")
+    table = AsyncMock()
+    table.find_unique = AsyncMock(return_value=fake_skill)
+    prisma_client = type(
+        "Prisma", (), {"db": type("DB", (), {"litellm_skillstable": table})()}
+    )()
+    monkeypatch.setattr(
+        skills_handler.LiteLLMSkillsHandler,
+        "_get_prisma_client",
+        AsyncMock(return_value=prisma_client),
+    )
+
+    for _ in range(3):
+        assert (
+            await skills_handler.LiteLLMSkillsHandler._load_skill("litellm_skill_a")
+            is fake_skill
+        )
+    assert table.find_unique.await_count == 1
+
+
+@pytest.mark.asyncio
+async def test_load_skill_caches_negative_lookups(monkeypatch):
+    """Missing skills cache as the negative sentinel so repeated misses skip
+    the DB and the caller still sees ``None``."""
+    table = AsyncMock()
+    table.find_unique = AsyncMock(return_value=None)
+    prisma_client = type(
+        "Prisma", (), {"db": type("DB", (), {"litellm_skillstable": table})()}
+    )()
+    monkeypatch.setattr(
+        skills_handler.LiteLLMSkillsHandler,
+        "_get_prisma_client",
+        AsyncMock(return_value=prisma_client),
+    )
+
+    assert await skills_handler.LiteLLMSkillsHandler._load_skill("missing") is None
+    assert await skills_handler.LiteLLMSkillsHandler._load_skill("missing") is None
+    assert table.find_unique.await_count == 1
+
+
+@pytest.mark.asyncio
+async def test_delete_skill_invalidates_cache(monkeypatch):
+    """After delete, the next read should not see the pre-delete cached row."""
+    fake_skill = Mock(created_by="user-1", skill_id="litellm_skill_a")
+    table = AsyncMock()
+    table.find_unique = AsyncMock(return_value=fake_skill)
+    table.delete = AsyncMock()
+    prisma_client = type(
+        "Prisma", (), {"db": type("DB", (), {"litellm_skillstable": table})()}
+    )()
+    monkeypatch.setattr(
+        skills_handler.LiteLLMSkillsHandler,
+        "_get_prisma_client",
+        AsyncMock(return_value=prisma_client),
+    )
+
+    # Prime the cache via the read path.
+    await skills_handler.LiteLLMSkillsHandler._load_skill("litellm_skill_a")
+    assert skills_handler._SKILL_CACHE.get_cache("litellm_skill_a") is fake_skill
+
+    auth = UserAPIKeyAuth(user_id="user-1")
+    await skills_handler.LiteLLMSkillsHandler.delete_skill(
+        "litellm_skill_a", user_api_key_dict=auth
+    )
+
+    # Post-delete, the cache holds the negative sentinel — not the stale row.
+    assert (
+        skills_handler._SKILL_CACHE.get_cache("litellm_skill_a")
+        == skills_handler._NEGATIVE_SKILL_SENTINEL
+    )
diff --git a/tests/test_litellm/llms/vertex_ai/files/test_vertex_ai_files_handler.py b/tests/test_litellm/llms/vertex_ai/files/test_vertex_ai_files_handler.py
index ea056a2fc80..453a0c14bf9 100644
--- a/tests/test_litellm/llms/vertex_ai/files/test_vertex_ai_files_handler.py
+++ b/tests/test_litellm/llms/vertex_ai/files/test_vertex_ai_files_handler.py
@@ -3,6 +3,7 @@ Test Vertex AI files handler functionality
 """
 
 import asyncio
+from types import MappingProxyType
 import pytest
 from unittest.mock import AsyncMock, patch
 
@@ -12,6 +13,14 @@ from litellm.llms.vertex_ai.files.handler import VertexAIFilesHandler
 from litellm.types.llms.openai import FileContentRequest, HttpxBinaryResponseContent
 
 
+def _mock_gcs_logging_config(bucket_name: str = "test-bucket"):
+    return {
+        "bucket_name": bucket_name,
+        "path_service_account": None,
+        "vertex_instance": None,
+    }
+
+
 class TestVertexAIFilesHandler:
     """Test Vertex AI files handler"""
 
@@ -22,57 +31,84 @@ class TestVertexAIFilesHandler:
     def test_extract_bucket_and_object_from_file_id_standard_path(self):
         """Test extraction of bucket and object from URL-encoded file_id with standard path"""
         # Sample file_id with nested folder structure
-        file_id = "gs%3A%2F%2Ftest-bucket%2Ftest-folder" "%2Fsub-folder%2Ftest-file.txt"
+        file_id = (
+            "gs%3A%2F%2Ftest-bucket%2Flitellm-vertex-files"
+            "%2Ftest-folder%2Fsub-folder%2Ftest-file.txt"
+        )
 
-        bucket_name, encoded_object_path = (
-            self.handler._extract_bucket_and_object_from_file_id(file_id)
+        bucket_name, object_path = self.handler._extract_bucket_and_object_from_file_id(
+            file_id=file_id,
+            configured_bucket_name="test-bucket",
         )
 
         # Verify bucket name extraction
         assert bucket_name == "test-bucket"
 
-        # Verify object path encoding
-        expected_encoded_object = "test-folder%2Fsub-folder%2Ftest-file.txt"
-        assert encoded_object_path == expected_encoded_object
+        expected_object = "litellm-vertex-files/test-folder/sub-folder/test-file.txt"
+        assert object_path == expected_object
 
-    def test_extract_bucket_and_object_from_file_id_bucket_only(self):
+    def test_extract_bucket_and_object_from_file_id_rejects_bucket_only(self):
         """Test extraction when only bucket name is provided"""
         file_id = "gs%3A%2F%2Ftest-bucket"
 
-        bucket_name, encoded_object_path = (
-            self.handler._extract_bucket_and_object_from_file_id(file_id)
-        )
+        with pytest.raises(ValueError, match="object name"):
+            self.handler._extract_bucket_and_object_from_file_id(
+                file_id=file_id,
+                configured_bucket_name="test-bucket",
+            )
 
-        assert bucket_name == "test-bucket"
-        assert encoded_object_path == ""
-
-    def test_extract_bucket_and_object_from_file_id_simple_path(self):
+    def test_extract_bucket_and_object_from_file_id_rejects_unmanaged_path(self):
         """Test extraction with simple path"""
         file_id = "gs%3A%2F%2Ftest-bucket%2Ftest-file.txt"
 
-        bucket_name, encoded_object_path = (
-            self.handler._extract_bucket_and_object_from_file_id(file_id)
+        with pytest.raises(ValueError, match="LiteLLM-managed"):
+            self.handler._extract_bucket_and_object_from_file_id(
+                file_id=file_id,
+                configured_bucket_name="test-bucket",
+            )
+
+    def test_extract_bucket_and_object_from_file_id_allows_trusted_legacy_flag(self):
+        file_id = "gs%3A%2F%2Ftest-bucket%2Ftest-file.txt"
+        trusted_credentials = MappingProxyType({"allow_legacy_cloud_file_ids": True})
+
+        bucket_name, object_path = self.handler._extract_bucket_and_object_from_file_id(
+            file_id=file_id,
+            configured_bucket_name="test-bucket",
+            litellm_params={
+                "_litellm_internal_model_credentials": trusted_credentials,
+            },
         )
 
         assert bucket_name == "test-bucket"
-        assert encoded_object_path == "test-file.txt"
+        assert object_path == "test-file.txt"
 
-    def test_extract_bucket_and_object_from_file_id_no_gs_prefix(self):
+    def test_extract_bucket_and_object_from_file_id_rejects_no_gs_prefix(self):
         """Test extraction when gs:// prefix is missing"""
-        file_id = "test-bucket%2Ftest-file.txt"
+        file_id = "test-bucket%2Flitellm-vertex-files%2Ftest-file.txt"
 
-        bucket_name, encoded_object_path = (
-            self.handler._extract_bucket_and_object_from_file_id(file_id)
-        )
+        with pytest.raises(ValueError, match="gs://"):
+            self.handler._extract_bucket_and_object_from_file_id(
+                file_id=file_id,
+                configured_bucket_name="test-bucket",
+            )
 
-        assert bucket_name == "test-bucket"
-        assert encoded_object_path == "test-file.txt"
+    def test_extract_bucket_and_object_from_file_id_rejects_wrong_bucket(self):
+        file_id = "gs%3A%2F%2Fother-bucket%2Flitellm-vertex-files%2Ftest-file.txt"
+
+        with pytest.raises(ValueError, match="configured storage bucket"):
+            self.handler._extract_bucket_and_object_from_file_id(
+                file_id=file_id,
+                configured_bucket_name="test-bucket",
+            )
 
     @pytest.mark.asyncio
     async def test_afile_content_success(self):
         """Test successful async file content retrieval"""
         # Setup test data
-        file_id = "gs%3A%2F%2Ftest-bucket%2Ftest-file.txt"
+        file_id = (
+            "gs%3A%2F%2Ftest-bucket%2Flitellm-vertex-files"
+            "%2Fuploads%2Fabc-test-file.txt"
+        )
         expected_content = b"test file content"
 
         file_content_request = FileContentRequest(
@@ -80,9 +116,17 @@ class TestVertexAIFilesHandler:
         )
 
         # Mock the download_gcs_object method
-        with patch.object(
-            self.handler, "download_gcs_object", new_callable=AsyncMock
-        ) as mock_download:
+        with (
+            patch.object(
+                self.handler, "download_gcs_object", new_callable=AsyncMock
+            ) as mock_download,
+            patch.object(
+                self.handler,
+                "get_gcs_logging_config",
+                new_callable=AsyncMock,
+                return_value=_mock_gcs_logging_config(),
+            ),
+        ):
             mock_download.return_value = expected_content
 
             # Call the method
@@ -104,7 +148,10 @@ class TestVertexAIFilesHandler:
             # Verify the download was called with correct parameters
             mock_download.assert_called_once()
             call_args = mock_download.call_args
-            assert call_args.kwargs["object_name"] == "test-file.txt"
+            assert (
+                call_args.kwargs["object_name"]
+                == "litellm-vertex-files/uploads/abc-test-file.txt"
+            )
             assert "standard_callback_dynamic_params" in call_args.kwargs
             assert (
                 call_args.kwargs["standard_callback_dynamic_params"]["gcs_bucket_name"]
@@ -132,22 +179,33 @@ class TestVertexAIFilesHandler:
     @pytest.mark.asyncio
     async def test_afile_content_download_failure(self):
         """Test async file content retrieval when download fails"""
-        file_id = "gs%3A%2F%2Ftest-bucket%2Ftest-file.txt"
+        file_id = (
+            "gs%3A%2F%2Ftest-bucket%2Flitellm-vertex-files"
+            "%2Fuploads%2Fabc-test-file.txt"
+        )
 
         file_content_request = FileContentRequest(
             file_id=file_id, extra_headers=None, extra_body=None
         )
 
         # Mock download to return None (failure)
-        with patch.object(
-            self.handler, "download_gcs_object", new_callable=AsyncMock
-        ) as mock_download:
+        with (
+            patch.object(
+                self.handler, "download_gcs_object", new_callable=AsyncMock
+            ) as mock_download,
+            patch.object(
+                self.handler,
+                "get_gcs_logging_config",
+                new_callable=AsyncMock,
+                return_value=_mock_gcs_logging_config(),
+            ),
+        ):
             mock_download.return_value = None
 
             # Should raise ValueError for failed download
             with pytest.raises(
                 ValueError,
-                match="Failed to download file from GCS: gs://test-bucket/test-file.txt",
+                match="Failed to download file from GCS: gs://test-bucket/litellm-vertex-files/uploads/abc-test-file.txt",
             ):
                 await self.handler.afile_content(
                     file_content_request=file_content_request,
diff --git a/tests/test_litellm/llms/vertex_ai/files/test_vertex_ai_files_transformation.py b/tests/test_litellm/llms/vertex_ai/files/test_vertex_ai_files_transformation.py
index b8482ce6aae..7c063c72607 100644
--- a/tests/test_litellm/llms/vertex_ai/files/test_vertex_ai_files_transformation.py
+++ b/tests/test_litellm/llms/vertex_ai/files/test_vertex_ai_files_transformation.py
@@ -5,6 +5,8 @@ Includes tests for Vertex AI batch output transformation to OpenAI format.
 
 import json
 import urllib.parse
+from types import MappingProxyType
+from urllib.parse import parse_qs, urlparse
 
 import httpx
 import pytest
@@ -29,13 +31,20 @@ class TestParseGcsUri:
     """Tests for the _parse_gcs_uri helper used by retrieve / content / delete."""
 
     def test_should_parse_standard_gs_uri(self, config):
-        bucket, encoded = config._parse_gcs_uri("gs://my-bucket/path/to/object.jsonl")
+        file_id = "gs://my-bucket/litellm-vertex-files/path/to/object.jsonl"
+        bucket, encoded = config._parse_gcs_uri(
+            file_id, litellm_params={"bucket_name": "my-bucket"}
+        )
         assert bucket == "my-bucket"
-        assert encoded == urllib.parse.quote("path/to/object.jsonl", safe="")
+        assert encoded == urllib.parse.quote(
+            "litellm-vertex-files/path/to/object.jsonl", safe=""
+        )
 
     def test_should_parse_uri_with_nested_publisher_path(self, config):
         uri = "gs://litellm-local/litellm-vertex-files/publishers/google/models/gemini-2.0-flash-001/abc-123"
-        bucket, encoded = config._parse_gcs_uri(uri)
+        bucket, encoded = config._parse_gcs_uri(
+            uri, litellm_params={"bucket_name": "litellm-local"}
+        )
         assert bucket == "litellm-local"
         expected_path = (
             "litellm-vertex-files/publishers/google/models/gemini-2.0-flash-001/abc-123"
@@ -43,30 +52,141 @@ class TestParseGcsUri:
         assert encoded == urllib.parse.quote(expected_path, safe="")
 
     def test_should_handle_url_encoded_input(self, config):
-        encoded_uri = urllib.parse.quote("gs://my-bucket/some/path", safe="")
-        bucket, encoded = config._parse_gcs_uri(encoded_uri)
+        encoded_uri = urllib.parse.quote(
+            "gs://my-bucket/litellm-vertex-files/some/path", safe=""
+        )
+        bucket, encoded = config._parse_gcs_uri(
+            encoded_uri, litellm_params={"bucket_name": "my-bucket"}
+        )
         assert bucket == "my-bucket"
-        assert encoded == urllib.parse.quote("some/path", safe="")
+        assert encoded == urllib.parse.quote("litellm-vertex-files/some/path", safe="")
 
-    def test_should_handle_bucket_only(self, config):
-        bucket, encoded = config._parse_gcs_uri("gs://my-bucket")
-        assert bucket == "my-bucket"
-        assert encoded == ""
+    def test_should_reject_bucket_only(self, config):
+        with pytest.raises(ValueError, match="object name"):
+            config._parse_gcs_uri(
+                "gs://my-bucket", litellm_params={"bucket_name": "my-bucket"}
+            )
+
+    def test_should_reject_no_gs_prefix(self, config):
+        with pytest.raises(ValueError, match="gs://"):
+            config._parse_gcs_uri(
+                "my-bucket/litellm-vertex-files/object.txt",
+                litellm_params={"bucket_name": "my-bucket"},
+            )
+
+    def test_should_reject_unmanaged_object_path(self, config):
+        with pytest.raises(ValueError, match="LiteLLM-managed"):
+            config._parse_gcs_uri(
+                "gs://my-bucket/private/object.txt",
+                litellm_params={"bucket_name": "my-bucket"},
+            )
+
+    def test_should_reject_request_supplied_legacy_flag(self, config):
+        with pytest.raises(ValueError, match="LiteLLM-managed"):
+            config._parse_gcs_uri(
+                "gs://my-bucket/private/object.txt",
+                litellm_params={
+                    "bucket_name": "my-bucket",
+                    "allow_legacy_cloud_file_ids": True,
+                },
+            )
+
+    def test_should_allow_legacy_object_path_with_trusted_server_flag(self, config):
+        trusted_credentials = MappingProxyType({"allow_legacy_cloud_file_ids": True})
+        bucket, encoded = config._parse_gcs_uri(
+            "gs://my-bucket/private/object.txt",
+            litellm_params={
+                "bucket_name": "my-bucket",
+                "_litellm_internal_model_credentials": trusted_credentials,
+            },
+        )
 
-    def test_should_handle_no_gs_prefix(self, config):
-        bucket, encoded = config._parse_gcs_uri("my-bucket/object.txt")
         assert bucket == "my-bucket"
-        assert encoded == "object.txt"
+        assert encoded == urllib.parse.quote("private/object.txt", safe="")
+
+    def test_should_reject_user_supplied_legacy_flag_snapshot(self, config):
+        with pytest.raises(ValueError, match="LiteLLM-managed"):
+            config._parse_gcs_uri(
+                "gs://my-bucket/private/object.txt",
+                litellm_params={
+                    "bucket_name": "my-bucket",
+                    "_litellm_internal_model_credentials": {
+                        "allow_legacy_cloud_file_ids": True
+                    },
+                },
+            )
+
+    def test_should_keep_configured_prefix_for_legacy_object_path(self, config):
+        trusted_credentials = MappingProxyType({"allow_legacy_cloud_file_ids": True})
+        bucket, encoded = config._parse_gcs_uri(
+            "gs://my-bucket/team-a/private/object.txt",
+            litellm_params={
+                "bucket_name": "my-bucket/team-a",
+                "_litellm_internal_model_credentials": trusted_credentials,
+            },
+        )
+
+        assert bucket == "my-bucket"
+        assert encoded == urllib.parse.quote("team-a/private/object.txt", safe="")
+
+    def test_should_reject_legacy_object_outside_configured_prefix(self, config):
+        trusted_credentials = MappingProxyType({"allow_legacy_cloud_file_ids": True})
+        with pytest.raises(ValueError, match="configured storage prefix"):
+            config._parse_gcs_uri(
+                "gs://my-bucket/team-b/private/object.txt",
+                litellm_params={
+                    "bucket_name": "my-bucket/team-a",
+                    "_litellm_internal_model_credentials": trusted_credentials,
+                },
+            )
+
+    def test_should_reject_unconfigured_bucket(self, config):
+        with pytest.raises(ValueError, match="configured storage bucket"):
+            config._parse_gcs_uri(
+                "gs://other-bucket/litellm-vertex-files/object.txt",
+                litellm_params={"bucket_name": "my-bucket"},
+            )
+
+
+class TestCreateFileUrl:
+    def test_should_ignore_request_metadata_bucket_and_sanitize_filename(self, config):
+        url = config.get_complete_file_url(
+            api_base=None,
+            api_key=None,
+            model="",
+            optional_params={},
+            litellm_params={
+                "bucket_name": "safe-bucket",
+                "litellm_metadata": {"gcs_bucket_name": "attacker-bucket"},
+            },
+            data={
+                "file": ("../../owned.jsonl?alt=media", b"{}", "application/jsonl"),
+                "purpose": "assistants",
+            },
+        )
+
+        parsed_url = urlparse(url)
+        object_name = parse_qs(parsed_url.query)["name"][0]
+        assert "/b/safe-bucket/" in parsed_url.path
+        assert "attacker-bucket" not in url
+        assert object_name.startswith("litellm-vertex-files/uploads/")
+        assert object_name.endswith("-owned.jsonl_alt_media")
+        assert ".." not in object_name
+        assert "?" not in object_name
 
 
 class TestTransformRetrieveFile:
 
     def test_should_build_correct_gcs_metadata_url(self, config):
-        file_id = "gs://my-bucket/path/to/file.jsonl"
+        file_id = "gs://my-bucket/litellm-vertex-files/path/to/file.jsonl"
         url, params = config.transform_retrieve_file_request(
-            file_id=file_id, optional_params={}, litellm_params={}
+            file_id=file_id,
+            optional_params={},
+            litellm_params={"bucket_name": "my-bucket"},
+        )
+        expected_encoded = urllib.parse.quote(
+            "litellm-vertex-files/path/to/file.jsonl", safe=""
         )
-        expected_encoded = urllib.parse.quote("path/to/file.jsonl", safe="")
         assert (
             url
             == f"https://storage.googleapis.com/storage/v1/b/my-bucket/o/{expected_encoded}"
@@ -119,13 +239,13 @@ class TestTransformRetrieveFile:
 class TestTransformFileContent:
 
     def test_should_build_gcs_media_download_url(self, config):
-        file_id = "gs://my-bucket/path/to/file.jsonl"
+        file_id = "gs://my-bucket/litellm-vertex-files/path/to/file.jsonl"
         url, params = config.transform_file_content_request(
             file_content_request={"file_id": file_id},
             optional_params={},
-            litellm_params={},
+            litellm_params={"bucket_name": "my-bucket"},
         )
-        encoded = urllib.parse.quote("path/to/file.jsonl", safe="")
+        encoded = urllib.parse.quote("litellm-vertex-files/path/to/file.jsonl", safe="")
         assert (
             url
             == f"https://storage.googleapis.com/storage/v1/b/my-bucket/o/{encoded}?alt=media"
@@ -254,11 +374,13 @@ class TestTransformFileContent:
 
 class TestTransformDeleteFile:
     def test_should_build_correct_gcs_delete_url(self, config):
-        file_id = "gs://my-bucket/path/to/file.jsonl"
+        file_id = "gs://my-bucket/litellm-vertex-files/path/to/file.jsonl"
         url, params = config.transform_delete_file_request(
-            file_id=file_id, optional_params={}, litellm_params={}
+            file_id=file_id,
+            optional_params={},
+            litellm_params={"bucket_name": "my-bucket"},
         )
-        encoded = urllib.parse.quote("path/to/file.jsonl", safe="")
+        encoded = urllib.parse.quote("litellm-vertex-files/path/to/file.jsonl", safe="")
         assert (
             url == f"https://storage.googleapis.com/storage/v1/b/my-bucket/o/{encoded}"
         )
diff --git a/tests/test_litellm/llms/vertex_ai/vertex_ai_partner_models/anthropic/test_vertex_ai_partner_models_anthropic_transformation.py b/tests/test_litellm/llms/vertex_ai/vertex_ai_partner_models/anthropic/test_vertex_ai_partner_models_anthropic_transformation.py
index d0be476d72e..d89d09a4e63 100644
--- a/tests/test_litellm/llms/vertex_ai/vertex_ai_partner_models/anthropic/test_vertex_ai_partner_models_anthropic_transformation.py
+++ b/tests/test_litellm/llms/vertex_ai/vertex_ai_partner_models/anthropic/test_vertex_ai_partner_models_anthropic_transformation.py
@@ -498,12 +498,8 @@ def test_vertex_ai_partner_models_anthropic_remove_prompt_caching_scope_beta_hea
     ), "Header should be removed if no supported values remain"
 
 
-def test_vertex_ai_anthropic_output_config_effort_only_dropped():
-    """
-    ``output_config`` containing only ``effort`` (an Anthropic-only key Vertex
-    rejects with "Extra inputs are not permitted") is dropped entirely so the
-    request body has no empty dict.
-    """
+def test_vertex_ai_anthropic_output_config_effort_only_forwarded():
+    """Vertex AI Claude 4.6/4.7 accept ``output_config.effort`` on rawPredict."""
     config = VertexAIAnthropicConfig()
 
     messages = [{"role": "user", "content": "What is 2+2?"}]
@@ -515,16 +511,14 @@ def test_vertex_ai_anthropic_output_config_effort_only_dropped():
     }
 
     result = config.transform_request(
-        model="claude-3-5-sonnet-20241022",
+        model="claude-opus-4-6",
         messages=messages,
         optional_params=optional_params,
         litellm_params={},
         headers=headers,
     )
 
-    assert (
-        "output_config" not in result
-    ), "output_config containing only effort must be dropped"
+    assert result["output_config"] == {"effort": "high"}
     assert result["max_tokens"] == 1024
     assert "messages" in result
 
@@ -566,14 +560,8 @@ def test_vertex_ai_anthropic_output_config_format_passes_through():
     assert result["output_config"] == output_config
 
 
-def test_vertex_ai_anthropic_output_config_format_plus_effort_strips_only_effort():
-    """
-    Greptile P1 on PR #23396: when ``output_config`` contains BOTH ``format``
-    and ``effort``, the prior conditional-passthrough logic forwarded the
-    full dict including the unsupported ``effort`` key, reproducing the
-    400 error the fix was meant to resolve. Only ``effort`` (and any future
-    Vertex-unsupported keys) should be filtered; ``format`` must survive.
-    """
+def test_vertex_ai_anthropic_output_config_format_plus_effort_preserved():
+    """Both ``format`` and ``effort`` ride along on Vertex Claude 4.6/4.7."""
     config = VertexAIAnthropicConfig()
     messages = [{"role": "user", "content": "Return a person object."}]
 
@@ -591,7 +579,7 @@ def test_vertex_ai_anthropic_output_config_format_plus_effort_strips_only_effort
     optional_params = {"max_tokens": 1024, "output_config": output_config}
 
     result = config.transform_request(
-        model="claude-3-5-sonnet-20241022",
+        model="claude-opus-4-6",
         messages=messages,
         optional_params=optional_params,
         litellm_params={},
@@ -599,9 +587,7 @@ def test_vertex_ai_anthropic_output_config_format_plus_effort_strips_only_effort
     )
 
     assert "output_config" in result
-    assert (
-        "effort" not in result["output_config"]
-    ), "effort must be stripped — Vertex returns 400 on unknown keys"
+    assert result["output_config"]["effort"] == "high"
     assert result["output_config"]["format"] == output_config["format"]
 
 
@@ -623,15 +609,8 @@ def test_vertex_ai_anthropic_output_config_non_dict_dropped():
     assert "output_config" not in result
 
 
-def test_vertex_ai_anthropic_output_format_preserved_output_config_effort_dropped():
-    """
-    When the request carries both ``output_format`` (top-level structured
-    outputs) AND an ``output_config`` whose only useful key for Vertex is
-    ``effort``: ``output_format`` must be forwarded (Vertex accepts it),
-    while ``output_config`` is dropped because Vertex returns 400 on
-    ``effort``. This replaces the old "drop both" behavior, which was the
-    silent strip the bug report flagged.
-    """
+def test_vertex_ai_anthropic_output_format_and_output_config_effort_preserved():
+    """Both ``output_format`` and ``output_config.effort`` are forwarded on Vertex 4.6/4.7."""
     config = VertexAIAnthropicConfig()
     messages = [{"role": "user", "content": "Extract structured data"}]
 
@@ -653,7 +632,7 @@ def test_vertex_ai_anthropic_output_format_preserved_output_config_effort_droppe
     }
 
     test_data = {
-        "model": "claude-3-5-sonnet-20241022",
+        "model": "claude-opus-4-6",
         "messages": messages,
         "max_tokens": 2048,
         "output_format": output_format,
@@ -671,7 +650,7 @@ def test_vertex_ai_anthropic_output_format_preserved_output_config_effort_droppe
 
     try:
         result = config.transform_request(
-            model="claude-3-5-sonnet-20241022",
+            model="claude-opus-4-6",
             messages=messages,
             optional_params=optional_params,
             litellm_params={},
@@ -680,9 +659,8 @@ def test_vertex_ai_anthropic_output_format_preserved_output_config_effort_droppe
 
         # output_format flows through unchanged — Vertex AI Claude accepts it.
         assert result["output_format"] == output_format
-        # output_config containing only ``effort`` is dropped to avoid the
-        # 400 "Extra inputs are not permitted" the silent strip used to mask.
-        assert "output_config" not in result
+        # output_config.effort now flows through (Vertex accepts it on 4.6/4.7).
+        assert result["output_config"] == {"effort": "high"}
         assert result["max_tokens"] == 2048
         assert "model" not in result, "model is still stripped (Vertex routes by URL)"
     finally:
@@ -702,10 +680,10 @@ def test_sanitize_vertex_anthropic_output_params_unit():
     sanitize_vertex_anthropic_output_params(data)
     assert data == {"max_tokens": 8}
 
-    # Effort-only → dropped entirely.
+    # Effort-only → preserved (Vertex 4.6/4.7 accept it on rawPredict).
     data = {"output_config": {"effort": "high"}}
     sanitize_vertex_anthropic_output_params(data)
-    assert "output_config" not in data
+    assert data["output_config"] == {"effort": "high"}
 
     # Format-only → preserved unchanged.
     fmt = {"format": {"type": "json_schema", "schema": {"type": "object"}}}
@@ -713,10 +691,10 @@ def test_sanitize_vertex_anthropic_output_params_unit():
     sanitize_vertex_anthropic_output_params(data)
     assert data["output_config"] == fmt
 
-    # Mixed → effort filtered, format kept.
+    # Mixed → both effort and format kept (no current Vertex-unsupported keys).
     data = {"output_config": {"format": fmt["format"], "effort": "high"}}
     sanitize_vertex_anthropic_output_params(data)
-    assert data["output_config"] == fmt
+    assert data["output_config"] == {"format": fmt["format"], "effort": "high"}
 
     # Non-dict → dropped defensively.
     data = {"output_config": "garbage"}
diff --git a/tests/test_litellm/llms/xai/test_xai_chat_transformation.py b/tests/test_litellm/llms/xai/test_xai_chat_transformation.py
index 5a236de900e..3ae8dfc3c0b 100644
--- a/tests/test_litellm/llms/xai/test_xai_chat_transformation.py
+++ b/tests/test_litellm/llms/xai/test_xai_chat_transformation.py
@@ -6,6 +6,90 @@ sys.path.insert(
 )  # Adds the parent directory to the system path
 
 from litellm.llms.xai.chat.transformation import XAIChatConfig
+from litellm.types.utils import (
+    CompletionTokensDetailsWrapper,
+    ModelResponse,
+    Usage,
+)
+
+
+class TestXAIReasoningTokenFolding:
+    """``_fold_reasoning_tokens_into_completion`` re-aligns xAI Usage to the OpenAI invariant."""
+
+    @staticmethod
+    def _make_response(
+        prompt_tokens: int,
+        completion_tokens: int,
+        total_tokens: int,
+        reasoning_tokens: int = 0,
+    ) -> ModelResponse:
+        details = (
+            CompletionTokensDetailsWrapper(reasoning_tokens=reasoning_tokens)
+            if reasoning_tokens
+            else None
+        )
+        usage = Usage(
+            prompt_tokens=prompt_tokens,
+            completion_tokens=completion_tokens,
+            total_tokens=total_tokens,
+            completion_tokens_details=details,
+        )
+        response = ModelResponse()
+        setattr(response, "usage", usage)
+        return response
+
+    def test_should_fold_when_total_explained_by_reasoning_gap(self):
+        # xAI live shape: 14 + 10 + 312 == 336.
+        response = self._make_response(
+            prompt_tokens=14,
+            completion_tokens=10,
+            total_tokens=336,
+            reasoning_tokens=312,
+        )
+
+        XAIChatConfig._fold_reasoning_tokens_into_completion(response)
+
+        usage = response.usage
+        assert usage.completion_tokens == 322
+        assert usage.total_tokens == usage.prompt_tokens + usage.completion_tokens
+
+    def test_should_not_fold_when_already_normalised(self):
+        response = self._make_response(
+            prompt_tokens=14,
+            completion_tokens=322,
+            total_tokens=336,
+            reasoning_tokens=312,
+        )
+
+        XAIChatConfig._fold_reasoning_tokens_into_completion(response)
+
+        assert response.usage.completion_tokens == 322
+
+    def test_should_skip_when_no_reasoning_tokens(self):
+        response = self._make_response(
+            prompt_tokens=14,
+            completion_tokens=10,
+            total_tokens=24,
+            reasoning_tokens=0,
+        )
+
+        XAIChatConfig._fold_reasoning_tokens_into_completion(response)
+
+        assert response.usage.completion_tokens == 10
+
+    def test_should_skip_when_gap_does_not_match_reasoning(self):
+        # Refuse to fold if xAI accounting changes (gap != reasoning_tokens).
+        response = self._make_response(
+            prompt_tokens=14,
+            completion_tokens=10,
+            total_tokens=999,
+            reasoning_tokens=312,
+        )
+
+        XAIChatConfig._fold_reasoning_tokens_into_completion(response)
+
+        assert response.usage.completion_tokens == 10
+        assert response.usage.total_tokens == 999
 
 
 class TestXAIParallelToolCalls:
@@ -14,9 +98,7 @@ class TestXAIParallelToolCalls:
     def test_get_supported_openai_params_includes_parallel_tool_calls(self):
         """Test that parallel_tool_calls is in supported parameters."""
         config = XAIChatConfig()
-        supported_params = config.get_supported_openai_params(
-            "xai/grok-4.20"
-        )
+        supported_params = config.get_supported_openai_params("xai/grok-4.20")
         assert "parallel_tool_calls" in supported_params
 
     def test_transform_request_preserves_parallel_tool_calls(self):
diff --git a/tests/test_litellm/llms/xai/test_xai_cost_calculator.py b/tests/test_litellm/llms/xai/test_xai_cost_calculator.py
index 0463199f7e6..02fe7c8e68f 100644
--- a/tests/test_litellm/llms/xai/test_xai_cost_calculator.py
+++ b/tests/test_litellm/llms/xai/test_xai_cost_calculator.py
@@ -110,7 +110,7 @@ class TestXAICostCalculator:
         usage = Usage(
             prompt_tokens=10,
             completion_tokens=200,
-            total_tokens=210,
+            total_tokens=360,
             completion_tokens_details=CompletionTokensDetailsWrapper(
                 accepted_prediction_tokens=0,
                 audio_tokens=0,
@@ -136,7 +136,7 @@ class TestXAICostCalculator:
         usage = Usage(
             prompt_tokens=20,
             completion_tokens=300,
-            total_tokens=320,
+            total_tokens=520,
             completion_tokens_details=CompletionTokensDetailsWrapper(
                 accepted_prediction_tokens=0,
                 audio_tokens=0,
@@ -177,7 +177,7 @@ class TestXAICostCalculator:
         usage = Usage(
             prompt_tokens=12,
             completion_tokens=50,  # Less than reasoning_tokens
-            total_tokens=62,
+            total_tokens=162,
             completion_tokens_details=CompletionTokensDetailsWrapper(
                 accepted_prediction_tokens=0,
                 audio_tokens=0,
@@ -204,7 +204,7 @@ class TestXAICostCalculator:
         usage = Usage(
             prompt_tokens=150000,  # Above 128k threshold
             completion_tokens=100000,  # Above 128k threshold
-            total_tokens=250000,
+            total_tokens=300000,
             completion_tokens_details=CompletionTokensDetailsWrapper(
                 accepted_prediction_tokens=0,
                 audio_tokens=0,
@@ -233,7 +233,7 @@ class TestXAICostCalculator:
         usage = Usage(
             prompt_tokens=100000,  # Below 128k threshold
             completion_tokens=50000,
-            total_tokens=150000,
+            total_tokens=160000,
             completion_tokens_details=CompletionTokensDetailsWrapper(
                 accepted_prediction_tokens=0,
                 audio_tokens=0,
@@ -261,7 +261,7 @@ class TestXAICostCalculator:
         usage = Usage(
             prompt_tokens=200000,  # Above 128k threshold
             completion_tokens=100000,
-            total_tokens=300000,
+            total_tokens=350000,
             completion_tokens_details=CompletionTokensDetailsWrapper(
                 accepted_prediction_tokens=0,
                 audio_tokens=0,
@@ -289,7 +289,7 @@ class TestXAICostCalculator:
         usage = Usage(
             prompt_tokens=150000,  # Above 128k threshold
             completion_tokens=50000,  # Below 128k threshold
-            total_tokens=200000,
+            total_tokens=210000,
             completion_tokens_details=CompletionTokensDetailsWrapper(
                 accepted_prediction_tokens=0,
                 audio_tokens=0,
@@ -331,6 +331,29 @@ class TestXAICostCalculator:
         assert math.isclose(prompt_cost, expected_prompt_cost, rel_tol=1e-10)
         assert math.isclose(completion_cost, expected_completion_cost, rel_tol=1e-10)
 
+    def test_already_normalised_usage_does_not_double_count_reasoning(self):
+        """Cost calc must not double-bill when Usage is already OpenAI-normalised."""
+        usage = Usage(
+            prompt_tokens=12,
+            completion_tokens=200,
+            total_tokens=212,
+            completion_tokens_details=CompletionTokensDetailsWrapper(
+                accepted_prediction_tokens=0,
+                audio_tokens=0,
+                reasoning_tokens=100,
+                rejected_prediction_tokens=0,
+                text_tokens=None,
+            ),
+        )
+
+        prompt_cost, completion_cost = cost_per_token(model="grok-3-mini", usage=usage)
+
+        expected_prompt_cost = 12 * 3e-7
+        expected_completion_cost = 200 * 5e-7
+
+        assert math.isclose(prompt_cost, expected_prompt_cost, rel_tol=1e-10)
+        assert math.isclose(completion_cost, expected_completion_cost, rel_tol=1e-10)
+
     def test_web_search_cost_calculation(self):
         """Test web search cost calculation for X.AI models."""
         # Test with web_search_requests in prompt_tokens_details (primary path)
diff --git a/tests/test_litellm/proxy/auth/test_auth_checks.py b/tests/test_litellm/proxy/auth/test_auth_checks.py
index 5dedf05215b..3433e3e6d85 100644
--- a/tests/test_litellm/proxy/auth/test_auth_checks.py
+++ b/tests/test_litellm/proxy/auth/test_auth_checks.py
@@ -2562,3 +2562,129 @@ async def test_team_member_budget_check_null_clone_with_null_default_skips_enfor
             user_api_key_cache=DualCache(),
             proxy_logging_obj=proxy_logging_obj,
         )
+
+
+@pytest.mark.asyncio
+async def test_team_member_budget_check_zero_team_default_treated_as_no_cap():
+    """A team default budget with max_budget=0.0 (likely a stale/accidental
+    write) must not block every member. The fallback path treats 0 as
+    "no cap"; per-member rows still respect 0 as an explicit disable."""
+    from litellm.caching.dual_cache import DualCache
+    from litellm.proxy._types import LiteLLM_TeamMembership
+    from litellm.proxy.utils import ProxyLogging
+
+    team_object = LiteLLM_TeamTable(
+        team_id="test-team",
+        metadata={"team_member_budget_id": "budget-default"},
+    )
+    user_object = LiteLLM_UserTable(user_id="test-user")
+    valid_token = UserAPIKeyAuth(
+        token="test-token",
+        user_id="test-user",
+        team_id="test-team",
+    )
+
+    # No per-member row -> falls through to team default.
+    team_membership = LiteLLM_TeamMembership(
+        user_id="test-user",
+        team_id="test-team",
+        spend=0.0,
+        budget_id=None,
+        litellm_budget_table=None,
+    )
+
+    proxy_logging_obj = ProxyLogging(user_api_key_cache=None)
+
+    # Team default budget row with max_budget=0.0 (the regression trigger).
+    fake_default_row = MagicMock()
+    fake_default_row.max_budget = 0.0
+    fake_default_row.dict = MagicMock(
+        return_value={"budget_id": "budget-default", "max_budget": 0.0}
+    )
+
+    prisma_client = MagicMock()
+    prisma_client.db.litellm_budgettable.find_unique = AsyncMock(
+        return_value=fake_default_row
+    )
+
+    async def mock_get_current_spend(counter_key, fallback_spend):
+        if counter_key == "spend:team_member:test-user:test-team":
+            return 0.0
+        return fallback_spend
+
+    with (
+        patch("litellm.proxy.proxy_server.get_current_spend", mock_get_current_spend),
+        patch(
+            "litellm.proxy.auth.auth_checks.get_team_membership",
+            new_callable=AsyncMock,
+            return_value=team_membership,
+        ),
+    ):
+        # No raise: 0.0 cap is treated as "no cap configured".
+        await _check_team_member_budget(
+            team_object=team_object,
+            user_object=user_object,
+            valid_token=valid_token,
+            prisma_client=prisma_client,
+            user_api_key_cache=DualCache(),
+            proxy_logging_obj=proxy_logging_obj,
+        )
+
+
+@pytest.mark.asyncio
+async def test_team_member_budget_check_zero_per_member_row_still_blocks():
+    """A per-member row with max_budget=0.0 is treated as an explicit admin
+    disable - enforcement still blocks. Only the team-default fallback
+    path treats 0 as no cap."""
+    from litellm.caching.dual_cache import DualCache
+    from litellm.proxy._types import LiteLLM_BudgetTable, LiteLLM_TeamMembership
+    from litellm.proxy.utils import ProxyLogging
+
+    team_object = LiteLLM_TeamTable(
+        team_id="test-team",
+        metadata={"team_member_budget_id": "budget-default"},
+    )
+    user_object = LiteLLM_UserTable(user_id="test-user")
+    valid_token = UserAPIKeyAuth(
+        token="test-token",
+        user_id="test-user",
+        team_id="test-team",
+    )
+
+    # Per-member row with max_budget=0.0 - admin intent: disable this user.
+    team_membership = LiteLLM_TeamMembership(
+        user_id="test-user",
+        team_id="test-team",
+        spend=0.0,
+        budget_id="budget-disable",
+        litellm_budget_table=LiteLLM_BudgetTable(max_budget=0.0),
+    )
+
+    proxy_logging_obj = ProxyLogging(user_api_key_cache=None)
+
+    prisma_client = MagicMock()
+    prisma_client.db.litellm_budgettable.find_unique = AsyncMock(return_value=None)
+
+    async def mock_get_current_spend(counter_key, fallback_spend):
+        if counter_key == "spend:team_member:test-user:test-team":
+            return 0.0
+        return fallback_spend
+
+    with (
+        patch("litellm.proxy.proxy_server.get_current_spend", mock_get_current_spend),
+        patch(
+            "litellm.proxy.auth.auth_checks.get_team_membership",
+            new_callable=AsyncMock,
+            return_value=team_membership,
+        ),
+    ):
+        with pytest.raises(litellm.BudgetExceededError) as exc_info:
+            await _check_team_member_budget(
+                team_object=team_object,
+                user_object=user_object,
+                valid_token=valid_token,
+                prisma_client=prisma_client,
+                user_api_key_cache=DualCache(),
+                proxy_logging_obj=proxy_logging_obj,
+            )
+    assert exc_info.value.max_budget == 0.0
diff --git a/tests/test_litellm/proxy/auth/test_auth_utils.py b/tests/test_litellm/proxy/auth/test_auth_utils.py
index c146b5ded5b..d1a9d6e8934 100644
--- a/tests/test_litellm/proxy/auth/test_auth_utils.py
+++ b/tests/test_litellm/proxy/auth/test_auth_utils.py
@@ -1292,3 +1292,225 @@ class TestIsRequestBodySafeNestedConfig:
             )
             is True
         )
+
+
+# ── observability-callback ban (root + metadata) ───────────────────────────
+
+
+class TestObservabilityCallbackBans:
+    """The proxy must reject observability credentials, hosts, and project
+    identifiers regardless of whether they arrive at the request body root,
+    in ``metadata`` / ``litellm_metadata``, or in a JSON-string-encoded
+    metadata blob (multipart/``extra_body`` path).
+
+    The ban list is derived from
+    ``litellm.litellm_core_utils.initialize_dynamic_callback_params._supported_callback_params``
+    minus a small ``_SAFE_CLIENT_CALLBACK_PARAMS`` allow-list, plus
+    ``_EXTRA_BANNED_OBSERVABILITY_PARAMS`` for fields integrations read but
+    that are not yet in the canonical allow-list. The derivation keeps the
+    proxy in sync as new integrations are added.
+    """
+
+    @pytest.fixture(autouse=True)
+    def _disable_url_validation(self, monkeypatch):
+        import litellm
+
+        monkeypatch.setattr(litellm, "user_url_validation", False, raising=False)
+
+    @pytest.mark.parametrize(
+        "field",
+        [
+            "langfuse_public_key",
+            "langfuse_secret",
+            "langfuse_secret_key",
+            "langsmith_api_key",
+            "langsmith_project",
+            "langsmith_tenant_id",
+            "arize_api_key",
+            "arize_space_key",
+            "arize_space_id",
+            "posthog_api_key",
+            "posthog_api_url",
+            "braintrust_api_key",
+            "braintrust_project",
+            "phoenix_project_name",
+            "wandb_api_key",
+            "weave_project_id",
+            "gcs_bucket_name",
+            "gcs_path_service_account",
+            "humanloop_api_key",
+            "lunary_public_key",
+        ],
+    )
+    def test_observability_field_in_request_body_root_is_rejected(self, field):
+        with pytest.raises(ValueError) as exc:
+            is_request_body_safe(
+                request_body={"model": "gpt-4", field: "attacker-value"},
+                general_settings={},
+                llm_router=None,
+                model="gpt-4",
+            )
+        assert field in str(exc.value)
+
+    @pytest.mark.parametrize(
+        "metadata_key",
+        ["metadata", "litellm_metadata"],
+    )
+    @pytest.mark.parametrize(
+        "field",
+        [
+            "langfuse_host",
+            "langfuse_secret_key",
+            "langsmith_api_key",
+            "posthog_api_url",
+            "braintrust_project",
+            "phoenix_project_name",
+        ],
+    )
+    def test_observability_field_in_metadata_dict_is_rejected(
+        self, metadata_key, field
+    ):
+        # Verifies the metadata walk: a value smuggled inside ``metadata``
+        # or ``litellm_metadata`` is just as dangerous as the same field
+        # at the body root, and must hit the same gate.
+        with pytest.raises(ValueError) as exc:
+            is_request_body_safe(
+                request_body={
+                    "model": "gpt-4",
+                    metadata_key: {field: "attacker-value"},
+                },
+                general_settings={},
+                llm_router=None,
+                model="gpt-4",
+            )
+        assert field in str(exc.value)
+
+    @pytest.mark.parametrize(
+        "metadata_key",
+        ["metadata", "litellm_metadata"],
+    )
+    def test_observability_field_in_json_string_metadata_is_rejected(
+        self, metadata_key
+    ):
+        # Multipart/form-data and ``extra_body`` callers send metadata as a
+        # JSON-encoded string. The bouncer parses it before applying the
+        # banned-params check so the JSON-string path can't smuggle past
+        # the ``isinstance(dict)`` guard.
+        import json
+
+        with pytest.raises(ValueError) as exc:
+            is_request_body_safe(
+                request_body={
+                    "model": "gpt-4",
+                    metadata_key: json.dumps(
+                        {"langfuse_host": "https://attacker.example"}
+                    ),
+                },
+                general_settings={},
+                llm_router=None,
+                model="gpt-4",
+            )
+        assert "langfuse_host" in str(exc.value)
+
+    def test_admin_opt_in_allows_metadata_credential_passthrough(self):
+        # The opt-in gate covers the metadata path the same way it covers
+        # the root path — operators running BYO observability with
+        # clientside creds flip a single flag and both paths work.
+        assert (
+            is_request_body_safe(
+                request_body={
+                    "model": "gpt-4",
+                    "metadata": {
+                        "langfuse_host": "https://my-langfuse.example",
+                        "langfuse_public_key": "pk-mine",
+                        "langfuse_secret_key": "sk-mine",
+                    },
+                },
+                general_settings={"allow_client_side_credentials": True},
+                llm_router=None,
+                model="gpt-4",
+            )
+            is True
+        )
+
+    def test_safe_per_request_observability_metadata_is_allowed(self):
+        # Informational fields (sampling rate, prompt version) describe
+        # the request being logged — they don't choose the destination or
+        # credentials, so they must remain accepted from clients without
+        # the opt-in flag.
+        assert (
+            is_request_body_safe(
+                request_body={
+                    "model": "gpt-4",
+                    "metadata": {
+                        "langfuse_prompt_version": "v2",
+                        "langsmith_sampling_rate": 0.1,
+                    },
+                },
+                general_settings={},
+                llm_router=None,
+                model="gpt-4",
+            )
+            is True
+        )
+
+
+def test_model_level_allow_does_not_skip_subsequent_banned_params(monkeypatch):
+    """Greptile P1: ``_check_banned_params`` previously ``return``-ed when a
+    deployment's ``configurable_clientside_auth_params`` permitted one
+    banned field, exiting before any later banned field in the same body
+    was checked. The metadata walk this PR adds multiplies the surface
+    where that bypass matters: a body pairing a model-level-allowed
+    ``api_base`` with an observability credential like ``langfuse_host``
+    must still reject on the second field, not silently pass."""
+    from litellm.proxy.auth import auth_utils
+
+    monkeypatch.setattr(
+        auth_utils,
+        "_allow_model_level_clientside_configurable_parameters",
+        lambda model, param, request_body_value, llm_router: param == "api_base",
+    )
+
+    with pytest.raises(ValueError) as exc:
+        is_request_body_safe(
+            request_body={
+                "model": "gpt-4",
+                "api_base": "https://allowed-by-deployment.example",
+                "langfuse_host": "https://attacker.example",
+            },
+            general_settings={},
+            llm_router=None,
+            model="gpt-4",
+        )
+    assert "langfuse_host" in str(exc.value)
+
+
+def test_observability_ban_covers_canonical_supported_callback_params():
+    """Guard test: every entry in the canonical
+    ``_supported_callback_params`` allow-list must end up either banned by
+    the proxy or explicitly safe-listed. New integrations added to that
+    list are banned by default (the safe failure mode); flagging them as
+    safe is an explicit decision recorded in
+    ``_SAFE_CLIENT_CALLBACK_PARAMS``."""
+    from litellm.litellm_core_utils.initialize_dynamic_callback_params import (
+        _request_blocked_callback_params,
+        _supported_callback_params,
+    )
+    from litellm.proxy.auth.auth_utils import (
+        _BANNED_REQUEST_BODY_PARAMS,
+        _SAFE_CLIENT_CALLBACK_PARAMS,
+    )
+
+    banned = set(_BANNED_REQUEST_BODY_PARAMS)
+    for param in _supported_callback_params:
+        assert param in banned or param in _SAFE_CLIENT_CALLBACK_PARAMS, (
+            f"{param} is in _supported_callback_params but neither banned nor "
+            f"safe-listed. Add it to _SAFE_CLIENT_CALLBACK_PARAMS if it is an "
+            f"informational per-request field; otherwise the derivation will "
+            f"ban it automatically."
+        )
+    for param in _request_blocked_callback_params:
+        assert param in banned, (
+            f"{param} is in _request_blocked_callback_params but is not banned "
+            "at the proxy request-body boundary."
+        )
diff --git a/tests/test_litellm/proxy/auth/test_route_checks.py b/tests/test_litellm/proxy/auth/test_route_checks.py
index 39f832256d0..cf6feabf85f 100644
--- a/tests/test_litellm/proxy/auth/test_route_checks.py
+++ b/tests/test_litellm/proxy/auth/test_route_checks.py
@@ -90,6 +90,73 @@ def test_proxy_admin_viewer_config_update_route_rejected():
     assert "role= proxy_admin_viewer" in str(exc_info.value.detail)
 
 
+@pytest.mark.parametrize(
+    "blocked_route",
+    [
+        # team write routes that previously fell through the blocklist
+        "/team/block",
+        "/team/unblock",
+        "/team/permissions_update",
+        "/team/permissions_bulk_update",
+        # JWT key mapping write routes
+        "/jwt/key/mapping/new",
+        "/jwt/key/mapping/update",
+        "/jwt/key/mapping/delete",
+        # key write routes
+        "/key/bulk_update",
+        # path-parameterized key write routes (suffix match)
+        "/key/abc123/regenerate",
+        "/key/abc123/reset_spend",
+        # baseline coverage of routes that were already blocked
+        "/team/new",
+        "/team/delete",
+        "/key/generate",
+        "/key/delete",
+        "/model/new",
+        "/model/delete",
+    ],
+)
+def test_proxy_admin_viewer_blocked_management_writes(blocked_route):
+    """View-only admins must be denied on every management write route — the
+    fall-through path previously allowed /team/block, /team/unblock,
+    /key/bulk_update, /key/{id}/reset_spend, and the JWT key-mapping routes."""
+    with pytest.raises(HTTPException) as exc_info:
+        RouteChecks._check_proxy_admin_viewer_access(
+            route=blocked_route,
+            _user_role=LitellmUserRoles.PROXY_ADMIN_VIEW_ONLY.value,
+            request_data={},
+        )
+    assert exc_info.value.status_code == 403
+    assert blocked_route in str(exc_info.value.detail)
+
+
+@pytest.mark.parametrize(
+    "allowed_read_route",
+    [
+        "/team/info",
+        "/team/list",
+        "/v2/team/list",
+        "/team/permissions_list",
+        "/team/daily/activity",
+        "/user/info",
+        "/user/list",
+        "/key/info",
+        "/key/list",
+        "/model/info",
+        "/jwt/key/mapping/list",
+        "/jwt/key/mapping/info",
+    ],
+)
+def test_proxy_admin_viewer_allowed_management_reads(allowed_read_route):
+    """View-only admins must still be allowed to read management routes."""
+    # Should not raise
+    RouteChecks._check_proxy_admin_viewer_access(
+        route=allowed_read_route,
+        _user_role=LitellmUserRoles.PROXY_ADMIN_VIEW_ONLY.value,
+        request_data={},
+    )
+
+
 def test_virtual_key_allowed_routes_with_litellm_routes_member_name_allowed():
     """Test that virtual key is allowed to call routes when allowed_routes contains LiteLLMRoutes member name"""
 
diff --git a/tests/test_litellm/proxy/auth/test_user_api_key_auth.py b/tests/test_litellm/proxy/auth/test_user_api_key_auth.py
index dd24ac87495..2e5eef2a0aa 100644
--- a/tests/test_litellm/proxy/auth/test_user_api_key_auth.py
+++ b/tests/test_litellm/proxy/auth/test_user_api_key_auth.py
@@ -10,9 +10,11 @@ sys.path.insert(
 
 import pytest
 
+import litellm
 import litellm.proxy.proxy_server
 from litellm.caching.dual_cache import DualCache
 from litellm.proxy._types import (
+    LiteLLMRoutes,
     LiteLLM_JWTAuth,
     LiteLLM_BudgetTable,
     LiteLLM_EndUserTable,
@@ -27,6 +29,7 @@ from litellm.proxy.auth.handle_jwt import JWTHandler
 from litellm.proxy.auth.auth_checks import get_key_object, _cache_key_object
 from litellm.proxy.auth.route_checks import RouteChecks
 from litellm.proxy.auth.user_api_key_auth import (
+    _route_requires_auth_despite_public,
     _reserve_budget_after_common_checks,
     _run_centralized_common_checks,
     _run_post_custom_auth_checks,
@@ -59,6 +62,29 @@ def test_get_api_key():
     ) == (api_key, passed_in_key)
 
 
+def test_route_requires_auth_despite_public_for_metrics(monkeypatch):
+    monkeypatch.setattr(litellm, "require_auth_for_metrics_endpoint", True)
+
+    assert _route_requires_auth_despite_public("/metrics", {}) is True
+    assert _route_requires_auth_despite_public("/metrics/", {}) is True
+
+    monkeypatch.setattr(litellm, "require_auth_for_metrics_endpoint", False)
+
+    assert _route_requires_auth_despite_public("/metrics", {}) is False
+
+
+def test_public_ai_hub_routes_remain_public():
+    for route in (
+        "/public/model_hub",
+        "/public/model_hub/info",
+        "/public/agent_hub",
+        "/public/mcp_hub",
+        "/public/skill_hub",
+    ):
+        assert route in LiteLLMRoutes.public_routes.value
+        assert _route_requires_auth_despite_public(route, {}) is False
+
+
 @pytest.mark.asyncio
 async def test_should_clear_stale_budget_reservation_when_budget_checks_skip():
     user_api_key_auth_obj = UserAPIKeyAuth(
@@ -909,6 +935,99 @@ async def test_proxy_admin_expired_key_from_cache():
                 setattr(_proxy_server_mod, attr, val)
 
 
+@pytest.mark.asyncio
+async def test_scim_deactivated_user_key_is_rejected():
+    """A virtual key whose owning user has metadata.scim_active=False must be
+    rejected by the auth flow (defense in depth on top of key-level blocking).
+    """
+    from fastapi import Request
+    from starlette.datastructures import URL
+
+    from litellm.proxy.auth.user_api_key_auth import _user_api_key_auth_builder
+    from litellm.proxy.proxy_server import hash_token
+
+    api_key = "sk-scim-deactivated-user-key"
+    hashed_key = hash_token(api_key)
+
+    valid_token = UserAPIKeyAuth(
+        api_key=api_key,
+        token=hashed_key,
+        user_id="scim-disabled-user",
+    )
+    deactivated_user = LiteLLM_UserTable(
+        user_id="scim-disabled-user",
+        metadata={"scim_active": False},
+    )
+
+    mock_cache = AsyncMock()
+    mock_cache.async_get_cache = AsyncMock(return_value=None)
+    mock_cache.delete_cache = MagicMock()
+
+    mock_proxy_logging_obj = MagicMock()
+    mock_proxy_logging_obj.internal_usage_cache = MagicMock()
+    mock_proxy_logging_obj.internal_usage_cache.dual_cache = AsyncMock()
+    mock_proxy_logging_obj.internal_usage_cache.dual_cache.async_delete_cache = (
+        AsyncMock()
+    )
+    mock_proxy_logging_obj.post_call_failure_hook = AsyncMock(return_value=None)
+
+    mock_prisma_client = MagicMock()
+
+    import litellm.proxy.proxy_server as _proxy_server_mod
+
+    _attrs_to_set = {
+        "prisma_client": mock_prisma_client,
+        "user_api_key_cache": mock_cache,
+        "proxy_logging_obj": mock_proxy_logging_obj,
+        "master_key": "sk-master-key",
+        "general_settings": {},
+        "llm_model_list": [],
+        "llm_router": None,
+        "open_telemetry_logger": None,
+        "model_max_budget_limiter": MagicMock(),
+        "user_custom_auth": None,
+        "jwt_handler": None,
+        "litellm_proxy_admin_name": "admin",
+    }
+    _original_values = {
+        attr: getattr(_proxy_server_mod, attr, None) for attr in _attrs_to_set
+    }
+    try:
+        for attr, val in _attrs_to_set.items():
+            setattr(_proxy_server_mod, attr, val)
+
+        request = Request(scope={"type": "http"})
+        request._url = URL(url="/chat/completions")
+
+        with (
+            patch(
+                "litellm.proxy.auth.user_api_key_auth.get_key_object",
+                new_callable=AsyncMock,
+                return_value=valid_token,
+            ),
+            patch(
+                "litellm.proxy.auth.user_api_key_auth.get_user_object",
+                new_callable=AsyncMock,
+                return_value=deactivated_user,
+            ),
+        ):
+            with pytest.raises(ProxyException) as exc_info:
+                await _user_api_key_auth_builder(
+                    request=request,
+                    api_key=f"Bearer {api_key}",
+                    azure_api_key_header="",
+                    anthropic_api_key_header=None,
+                    google_ai_studio_api_key_header=None,
+                    azure_apim_header=None,
+                    request_data={},
+                )
+
+        assert "deactivated via SCIM" in str(exc_info.value.message)
+    finally:
+        for attr, val in _original_values.items():
+            setattr(_proxy_server_mod, attr, val)
+
+
 @pytest.mark.asyncio
 async def test_return_user_api_key_auth_obj_user_spend_and_budget():
     """
@@ -2352,18 +2471,18 @@ async def test_centralized_common_checks_short_circuits_when_master_key_unset():
 
 @pytest.mark.asyncio
 async def test_centralized_common_checks_skips_public_routes():
-    """Regression: public routes (e.g. /health/readiness) are exempted
+    """Regression: public routes (e.g. /health/liveness) are exempted
     by the builder fast-path. The wrapper must not retroactively run
     common_checks on top — the synthetic INTERNAL_USER_VIEW_ONLY token
     has no user_id, so common_checks would reject the request as
-    admin-only. Breaks k8s readiness probes when master_key is set."""
+    admin-only."""
     import litellm.proxy.proxy_server as _proxy_server_mod
     from fastapi import Request
     from starlette.datastructures import URL
 
     token = UserAPIKeyAuth(user_role=LitellmUserRoles.INTERNAL_USER_VIEW_ONLY)
     request = Request(scope={"type": "http"})
-    request._url = URL(url="/health/readiness")
+    request._url = URL(url="/health/liveness")
 
     attrs = _proxy_attrs_for_centralized_checks(user_custom_auth=None)
     originals = {a: getattr(_proxy_server_mod, a, None) for a in attrs}
@@ -2378,7 +2497,7 @@ async def test_centralized_common_checks_skips_public_routes():
                 user_api_key_auth_obj=token,
                 request=request,
                 request_data={},
-                route="/health/readiness",
+                route="/health/liveness",
             )
             mock_checks.assert_not_awaited()
     finally:
diff --git a/tests/test_litellm/proxy/db/test_db_spend_update_writer.py b/tests/test_litellm/proxy/db/test_db_spend_update_writer.py
index 4d584349342..c6017752814 100644
--- a/tests/test_litellm/proxy/db/test_db_spend_update_writer.py
+++ b/tests/test_litellm/proxy/db/test_db_spend_update_writer.py
@@ -1133,8 +1133,10 @@ async def test_update_daily_spend_logs_detailed_error_on_batch_upsert_failure():
     mock_proxy_logging = MagicMock()
     mock_proxy_logging.failure_handler = AsyncMock()
 
-    # Mock the logger to capture exception calls
-    with patch.object(verbose_proxy_logger, "exception") as mock_exception_logger:
+    # Capture the ERROR-level log emitted by the spend_log_error helper.
+    # We assert against the formatted message instead of patching a specific
+    # logger method so the test stays valid as the helper evolves.
+    with patch.object(verbose_proxy_logger, "error") as mock_error_logger:
         # Call the method and expect it to raise the exception
         with pytest.raises(Exception, match="Unique constraint violation"):
             await DBSpendUpdateWriter._update_daily_spend(
@@ -1148,17 +1150,20 @@ async def test_update_daily_spend_logs_detailed_error_on_batch_upsert_failure():
                 unique_constraint_name="user_id_date_api_key_model_custom_llm_provider_mcp_namespaced_tool_name_endpoint",
             )
 
-        # Verify that exception was logged with detailed information
-        assert mock_exception_logger.called
-        call_args = mock_exception_logger.call_args[0][0]
-        assert "Daily user spend batch upsert failed" in call_args
-        assert "Table: litellm_dailyuserspend" in call_args
+        # Verify that the error was logged with detailed information.
+        # spend_log_error formats the message via ``%`` interpolation, so
+        # render the call args before asserting on substrings.
+        assert mock_error_logger.called
+        call = mock_error_logger.call_args
+        formatted = call.args[0] % call.args[1:]
+        assert "Daily user spend batch upsert failed" in formatted
+        assert "Table: litellm_dailyuserspend" in formatted
         assert (
             "Constraint: user_id_date_api_key_model_custom_llm_provider_mcp_namespaced_tool_name_endpoint"
-            in call_args
+            in formatted
         )
-        assert "Batch size: 1" in call_args
-        assert "Unique constraint violation" in call_args
+        assert "Batch size: 1" in formatted
+        assert "Unique constraint violation" in formatted
 
 
 @pytest.mark.asyncio
diff --git a/tests/test_litellm/proxy/guardrails/guardrail_hooks/azure/test_azure_text_moderation.py b/tests/test_litellm/proxy/guardrails/guardrail_hooks/azure/test_azure_text_moderation.py
index 5e3cb76f44f..94c7cefaeb3 100644
--- a/tests/test_litellm/proxy/guardrails/guardrail_hooks/azure/test_azure_text_moderation.py
+++ b/tests/test_litellm/proxy/guardrails/guardrail_hooks/azure/test_azure_text_moderation.py
@@ -232,6 +232,52 @@ async def test_azure_text_moderation_guardrail_post_call_success_hook():
         assert mock_async_make_request.call_args.kwargs["text"] == "Hello world"
 
 
+@pytest.mark.asyncio
+async def test_azure_text_moderation_guardrail_post_call_checks_all_choices():
+    azure_text_moderation_guardrail = AzureContentSafetyTextModerationGuardrail(
+        guardrail_name="azure_text_moderation",
+        api_key="azure_text_moderation_api_key",
+        api_base="azure_text_moderation_api_base",
+    )
+    with patch.object(
+        azure_text_moderation_guardrail, "async_make_request"
+    ) as mock_async_make_request:
+        mock_async_make_request.side_effect = [
+            {
+                "blocklistsMatch": [],
+                "categoriesAnalysis": [{"category": "Hate", "severity": 0}],
+            },
+            HTTPException(
+                status_code=400,
+                detail={"error": "blocked second choice"},
+            ),
+        ]
+
+        with pytest.raises(HTTPException):
+            await azure_text_moderation_guardrail.async_post_call_success_hook(
+                data={},
+                user_api_key_dict=UserAPIKeyAuth(
+                    api_key="azure_text_moderation_api_key"
+                ),
+                response=ModelResponse(
+                    choices=[
+                        Choices(
+                            index=0,
+                            message=Message(content="safe response"),
+                        ),
+                        Choices(
+                            index=1,
+                            message=Message(content="unsafe response"),
+                        ),
+                    ]
+                ),
+            )
+
+        assert [
+            call.kwargs["text"] for call in mock_async_make_request.call_args_list
+        ] == ["safe response", "unsafe response"]
+
+
 @pytest.mark.asyncio
 async def test_azure_text_moderation_guardrail_post_call_streaming_hook():
 
diff --git a/tests/test_litellm/proxy/guardrails/guardrail_hooks/content_filter/test_content_filter.py b/tests/test_litellm/proxy/guardrails/guardrail_hooks/content_filter/test_content_filter.py
index f7377926efc..fb952d4b18b 100644
--- a/tests/test_litellm/proxy/guardrails/guardrail_hooks/content_filter/test_content_filter.py
+++ b/tests/test_litellm/proxy/guardrails/guardrail_hooks/content_filter/test_content_filter.py
@@ -453,6 +453,71 @@ class TestContentFilterGuardrail:
         assert "[EMAIL_REDACTED]" in full_content
         assert "Contact me at [EMAIL_REDACTED] for info" in full_content
 
+    @pytest.mark.asyncio
+    async def test_streaming_hook_mask_checks_all_choices(self):
+        from litellm.types.utils import Delta, ModelResponseStream, StreamingChoices
+
+        patterns = [
+            ContentFilterPattern(
+                pattern_type="prebuilt",
+                pattern_name="email",
+                action=ContentFilterAction.MASK,
+            ),
+        ]
+
+        guardrail = ContentFilterGuardrail(
+            guardrail_name="test-streaming-mask-all-choices",
+            patterns=patterns,
+            event_hook=GuardrailEventHooks.during_call,
+        )
+
+        async def mock_stream():
+            yield ModelResponseStream(
+                id="chunk1",
+                choices=[
+                    StreamingChoices(
+                        delta=Delta(content="Contact first@ex"),
+                        index=0,
+                    ),
+                    StreamingChoices(
+                        delta=Delta(content="Email second@ex"),
+                        index=1,
+                    ),
+                ],
+                model="gpt-4",
+            )
+            yield ModelResponseStream(
+                id="chunk2",
+                choices=[
+                    StreamingChoices(
+                        delta=Delta(content="ample.com for help"),
+                        index=0,
+                        finish_reason="stop",
+                    ),
+                    StreamingChoices(
+                        delta=Delta(content="ample.com for support"),
+                        index=1,
+                        finish_reason="stop",
+                    ),
+                ],
+                model="gpt-4",
+            )
+
+        content_by_choice = {0: "", 1: ""}
+        async for chunk in guardrail.async_post_call_streaming_iterator_hook(
+            user_api_key_dict=MagicMock(),
+            response=mock_stream(),
+            request_data={},
+        ):
+            for choice in chunk.choices:
+                if choice.delta.content:
+                    content_by_choice[choice.index] += choice.delta.content
+
+        assert "first@example.com" not in content_by_choice[0]
+        assert "second@example.com" not in content_by_choice[1]
+        assert content_by_choice[0] == "Contact [EMAIL_REDACTED] for help"
+        assert content_by_choice[1] == "Email [EMAIL_REDACTED] for support"
+
     @pytest.mark.asyncio
     async def test_streaming_hook_block(self):
         """
diff --git a/tests/test_litellm/proxy/guardrails/guardrail_hooks/test_xecguard.py b/tests/test_litellm/proxy/guardrails/guardrail_hooks/test_xecguard.py
index b6635442383..60c595c64e5 100644
--- a/tests/test_litellm/proxy/guardrails/guardrail_hooks/test_xecguard.py
+++ b/tests/test_litellm/proxy/guardrails/guardrail_hooks/test_xecguard.py
@@ -6,7 +6,6 @@ branch coverage. Network calls are always mocked; the companion live
 suite lives in ``test_xecguard_live.py``.
 """
 
-import asyncio
 import os
 from unittest.mock import MagicMock, patch
 
@@ -1196,6 +1195,26 @@ class TestXecGuardMessageAssembly:
             is None
         )
 
+    def test_extract_assistant_text_combines_all_choices(self, xecguard_guardrail):
+        assert (
+            xecguard_guardrail._extract_assistant_text_from_response(
+                {
+                    "choices": [
+                        {"message": {"content": "first response"}},
+                        {
+                            "message": {
+                                "content": [
+                                    {"type": "text", "text": "second"},
+                                    {"type": "text", "text": "response"},
+                                ]
+                            }
+                        },
+                    ]
+                }
+            )
+            == "first response\nsecond\nresponse"
+        )
+
     def test_synthesize_user_inputs_not_dict(self, xecguard_guardrail):
         assert xecguard_guardrail._synthesize_user_from_inputs("not-dict") is None
 
diff --git a/tests/test_litellm/proxy/guardrails/test_content_utils.py b/tests/test_litellm/proxy/guardrails/test_content_utils.py
new file mode 100644
index 00000000000..099fca78a62
--- /dev/null
+++ b/tests/test_litellm/proxy/guardrails/test_content_utils.py
@@ -0,0 +1,303 @@
+"""Tests for the shared guardrail content extraction helpers."""
+
+from litellm.proxy.guardrails._content_utils import (
+    apply_redacted_messages_back,
+    build_inspection_messages,
+    has_non_string_content,
+    iter_message_text,
+    walk_user_text,
+)
+
+
+# ── iter_message_text ────────────────────────────────────────────────────────────
+
+
+def test_iter_message_text_string_messages():
+    data = {
+        "messages": [
+            {"role": "user", "content": "hello"},
+            {"role": "assistant", "content": "hi"},
+        ]
+    }
+    assert list(iter_message_text(data)) == ["hello", "hi"]
+
+
+def test_iter_message_text_multimodal_list_content():
+    """VERIA-11: list-format content must be inspected, not silently skipped."""
+    data = {
+        "messages": [
+            {
+                "role": "user",
+                "content": [
+                    {"type": "text", "text": "AWS_KEY=AKIA..."},
+                    {"type": "image_url", "image_url": {"url": "..."}},
+                    {"type": "text", "text": "more secrets"},
+                ],
+            }
+        ]
+    }
+    assert list(iter_message_text(data)) == ["AWS_KEY=AKIA...", "more secrets"]
+
+
+def test_iter_message_text_responses_api_string_input():
+    """fniVO9-F: Responses-API ``input`` must be inspectable when ``messages`` absent."""
+    data = {"input": "tell me a secret"}
+    assert list(iter_message_text(data)) == ["tell me a secret"]
+
+
+def test_iter_message_text_responses_api_list_input_messages():
+    data = {
+        "input": [
+            {"role": "user", "content": "first"},
+            {"role": "user", "content": "second"},
+        ]
+    }
+    assert list(iter_message_text(data)) == ["first", "second"]
+
+
+def test_iter_message_text_responses_api_list_input_content_parts():
+    data = {
+        "input": [
+            {"type": "text", "text": "alpha"},
+            {"type": "image_url", "image_url": {"url": "..."}},
+            {"type": "text", "text": "beta"},
+        ]
+    }
+    assert list(iter_message_text(data)) == ["alpha", "beta"]
+
+
+def test_iter_message_text_responses_api_list_input_mixed_dicts_and_strings():
+    """Greptile P2: mixed-list ``input`` with content-part dicts AND bare
+    strings must yield every text fragment — read helpers used to truncate
+    the bare strings."""
+    data = {
+        "input": [
+            {"type": "text", "text": "from-dict"},
+            "from-bare-string",
+            {"type": "image_url", "image_url": {"url": "..."}},
+            "another-bare-string",
+        ]
+    }
+    assert list(iter_message_text(data)) == [
+        "from-dict",
+        "from-bare-string",
+        "another-bare-string",
+    ]
+
+
+def test_iter_message_text_walks_messages_and_input_independently():
+    """When both are present (rare), every fragment from either field is
+    inspected — a stricter guarantee than "first one wins"."""
+    data = {
+        "messages": [{"role": "user", "content": "msg-content"}],
+        "input": "input-content",
+    }
+    assert list(iter_message_text(data)) == ["msg-content", "input-content"]
+
+
+def test_iter_message_text_empty_data():
+    assert list(iter_message_text({})) == []
+    assert list(iter_message_text({"messages": []})) == []
+    assert list(iter_message_text({"input": ""})) == []
+
+
+# ── walk_user_text ────────────────────────────────────────────────────────────
+
+
+def test_walk_user_text_redacts_string_messages_in_place():
+    data = {
+        "messages": [
+            {"role": "user", "content": "leak: AKIAEXAMPLE"},
+            {"role": "assistant", "content": "ok"},
+        ]
+    }
+    visited = walk_user_text(data, lambda s: s.replace("AKIAEXAMPLE", "[REDACTED]"))
+    assert visited == 2
+    assert data["messages"][0]["content"] == "leak: [REDACTED]"
+    assert data["messages"][1]["content"] == "ok"
+
+
+def test_walk_user_text_redacts_multimodal_text_parts():
+    """VERIA-11: list-content text parts must be mutable for in-place redaction."""
+    data = {
+        "messages": [
+            {
+                "role": "user",
+                "content": [
+                    {"type": "text", "text": "AKIAEXAMPLE here"},
+                    {"type": "image_url", "image_url": {"url": "..."}},
+                    {"type": "text", "text": "no secret"},
+                ],
+            }
+        ]
+    }
+    visited = walk_user_text(data, lambda s: s.replace("AKIAEXAMPLE", "[REDACTED]"))
+    assert visited == 2
+    parts = data["messages"][0]["content"]
+    assert parts[0] == {"type": "text", "text": "[REDACTED] here"}
+    # Non-text part must be left untouched.
+    assert parts[1] == {"type": "image_url", "image_url": {"url": "..."}}
+    assert parts[2] == {"type": "text", "text": "no secret"}
+
+
+def test_walk_user_text_redacts_responses_api_string_input():
+    data = {"input": "leak AKIAEXAMPLE"}
+    visited = walk_user_text(data, lambda s: s.replace("AKIAEXAMPLE", "[REDACTED]"))
+    assert visited == 1
+    assert data["input"] == "leak [REDACTED]"
+
+
+def test_walk_user_text_redacts_responses_api_list_input():
+    data = {
+        "input": [
+            {"type": "text", "text": "AKIAEXAMPLE"},
+            {"type": "image_url", "image_url": {"url": "..."}},
+        ]
+    }
+    visited = walk_user_text(data, lambda s: f"[redacted]{s}[/]")
+    assert visited == 1
+    assert data["input"][0] == {"type": "text", "text": "[redacted]AKIAEXAMPLE[/]"}
+    assert data["input"][1] == {"type": "image_url", "image_url": {"url": "..."}}
+
+
+def test_walk_user_text_redacts_mixed_list_input():
+    """Read and write helpers must agree on coverage — bare strings inside
+    a mixed ``input`` list are inspected by both."""
+    data = {
+        "input": [
+            {"type": "text", "text": "secret-one"},
+            "secret-two",
+            {"type": "image_url", "image_url": {"url": "..."}},
+        ]
+    }
+    visited = walk_user_text(data, lambda s: f"<{s}>")
+    assert visited == 2
+    assert data["input"][0] == {"type": "text", "text": "<secret-one>"}
+    assert data["input"][1] == "<secret-two>"
+    assert data["input"][2] == {"type": "image_url", "image_url": {"url": "..."}}
+
+
+# ── build_inspection_messages ─────────────────────────────────────────────────
+
+
+def test_build_inspection_messages_chat_completion_passthrough():
+    data = {
+        "messages": [
+            {"role": "system", "content": "be helpful"},
+            {"role": "user", "content": "hi"},
+        ]
+    }
+    assert build_inspection_messages(data) == [
+        {"role": "system", "content": "be helpful"},
+        {"role": "user", "content": "hi"},
+    ]
+
+
+def test_build_inspection_messages_joins_multimodal_text_parts():
+    data = {
+        "messages": [
+            {
+                "role": "user",
+                "content": [
+                    {"type": "text", "text": "first part"},
+                    {"type": "image_url", "image_url": {"url": "..."}},
+                    {"type": "text", "text": "second part"},
+                ],
+            }
+        ]
+    }
+    assert build_inspection_messages(data) == [
+        {"role": "user", "content": "first part\nsecond part"}
+    ]
+
+
+def test_build_inspection_messages_lifts_responses_api_input():
+    """fniVO9-F: ``input`` must be visible to hooks that POST messages to a remote API."""
+    data = {"input": "responses-api content"}
+    assert build_inspection_messages(data) == [
+        {"role": "user", "content": "responses-api content"}
+    ]
+
+
+def test_build_inspection_messages_drops_messages_with_no_text():
+    data = {
+        "messages": [
+            {"role": "user", "content": ""},
+            {
+                "role": "user",
+                "content": [{"type": "image_url", "image_url": {"url": "..."}}],
+            },
+            {"role": "user", "content": "kept"},
+        ]
+    }
+    assert build_inspection_messages(data) == [{"role": "user", "content": "kept"}]
+
+
+def test_build_inspection_messages_empty_data():
+    assert build_inspection_messages({}) == []
+    assert build_inspection_messages({"messages": []}) == []
+    assert build_inspection_messages({"input": ""}) == []
+
+
+# ── has_non_string_content ────────────────────────────────────────────────────
+
+
+def test_has_non_string_content_string_messages():
+    data = {"messages": [{"role": "user", "content": "hello"}]}
+    assert has_non_string_content(data) is False
+
+
+def test_has_non_string_content_multimodal_messages():
+    data = {"messages": [{"role": "user", "content": [{"type": "text", "text": "hi"}]}]}
+    assert has_non_string_content(data) is True
+
+
+def test_has_non_string_content_responses_api_string_input():
+    assert has_non_string_content({"input": "plain string"}) is False
+
+
+def test_has_non_string_content_responses_api_list_input():
+    assert has_non_string_content({"input": ["a", "b"]}) is True
+
+
+def test_has_non_string_content_empty_data():
+    assert has_non_string_content({}) is False
+    assert has_non_string_content({"messages": []}) is False
+    assert has_non_string_content({"input": ""}) is False
+
+
+# ── apply_redacted_messages_back ──────────────────────────────────────────────
+
+
+def test_apply_redacted_messages_back_chat_completion():
+    data = {"messages": [{"role": "user", "content": "secret"}]}
+    apply_redacted_messages_back(data, [{"role": "user", "content": "[REDACTED]"}])
+    assert data["messages"] == [{"role": "user", "content": "[REDACTED]"}]
+    assert "input" not in data
+
+
+def test_apply_redacted_messages_back_responses_api_string_input():
+    """A Responses-API request reads ``data["input"]``; writing only to
+    ``messages`` would let unredacted text reach the LLM."""
+    data = {"input": "secret payload"}
+    apply_redacted_messages_back(data, [{"role": "user", "content": "[REDACTED]"}])
+    assert data["input"] == "[REDACTED]"
+
+
+def test_apply_redacted_messages_back_both_fields():
+    """Defensive: when both fields are present, both are updated."""
+    data = {
+        "messages": [{"role": "user", "content": "old"}],
+        "input": "old",
+    }
+    apply_redacted_messages_back(data, [{"role": "user", "content": "[REDACTED]"}])
+    assert data["messages"] == [{"role": "user", "content": "[REDACTED]"}]
+    assert data["input"] == "[REDACTED]"
+
+
+def test_apply_redacted_messages_back_skips_input_when_not_string():
+    """List ``input`` (multimodal Responses-API) is left alone — the
+    multimodal-degrades-to-block guard runs upstream."""
+    data = {"input": [{"type": "text", "text": "leak"}]}
+    apply_redacted_messages_back(data, [{"role": "user", "content": "[REDACTED]"}])
+    assert data["input"] == [{"type": "text", "text": "leak"}]
diff --git a/tests/test_litellm/proxy/guardrails/test_guardrail_coverage.py b/tests/test_litellm/proxy/guardrails/test_guardrail_coverage.py
new file mode 100644
index 00000000000..6def548b93f
--- /dev/null
+++ b/tests/test_litellm/proxy/guardrails/test_guardrail_coverage.py
@@ -0,0 +1,811 @@
+"""
+Regression tests for guardrail-coverage gaps.
+
+Each test confirms that a previously-bypassable input shape now triggers
+inspection by the relevant guardrail hook:
+
+- VERIA-11: multimodal list-format ``content`` is inspected (no longer
+  silently skipped because of an ``isinstance(content, str)`` check).
+- fniVO9-F: Responses-API ``data["input"]`` is inspected (no longer
+  silently skipped because the hook only looked at ``data["messages"]``).
+- yVS0wMDO: Aim's post-call hook inspects every choice when ``n>1``,
+  not just ``choices[0]``.
+"""
+
+from typing import Any, Dict
+from unittest.mock import AsyncMock, MagicMock, patch
+
+import pytest
+from httpx import Request, Response
+
+from litellm import DualCache
+from litellm.proxy._types import UserAPIKeyAuth
+from litellm.types.utils import Choices, Message, ModelResponse
+
+
+@pytest.fixture
+def user_api_key():
+    return UserAPIKeyAuth(api_key="hashed", user_id="u", key_alias=None)
+
+
+# ── Aim ───────────────────────────────────────────────────────────────────────
+
+
+def _aim_no_action_response() -> Response:
+    return Response(
+        status_code=200,
+        json={"required_action": None},
+        request=Request("POST", "https://api.aim.security/fw/v1/analyze"),
+    )
+
+
+@pytest.mark.asyncio
+async def test_aim_inspects_multimodal_list_content(user_api_key, monkeypatch):
+    monkeypatch.setenv("AIM_API_KEY", "hs-aim-key")
+    from litellm.proxy.guardrails.guardrail_hooks.aim.aim import AimGuardrail
+
+    guard = AimGuardrail()
+    sent_payload: Dict[str, Any] = {}
+
+    async def capture(url, headers, json):
+        sent_payload.update(json)
+        return _aim_no_action_response()
+
+    with patch.object(guard.async_handler, "post", side_effect=capture):
+        await guard.async_pre_call_hook(
+            user_api_key_dict=user_api_key,
+            cache=DualCache(),
+            data={
+                "messages": [
+                    {
+                        "role": "user",
+                        "content": [
+                            {"type": "text", "text": "secret payload"},
+                            {"type": "image_url", "image_url": {"url": "..."}},
+                        ],
+                    }
+                ]
+            },
+            call_type="acompletion",
+        )
+
+    # The multimodal text part must be visible to Aim.
+    assert sent_payload["messages"] == [{"role": "user", "content": "secret payload"}]
+
+
+@pytest.mark.asyncio
+async def test_aim_inspects_responses_api_input(user_api_key, monkeypatch):
+    monkeypatch.setenv("AIM_API_KEY", "hs-aim-key")
+    from litellm.proxy.guardrails.guardrail_hooks.aim.aim import AimGuardrail
+
+    guard = AimGuardrail()
+    sent_payload: Dict[str, Any] = {}
+
+    async def capture(url, headers, json):
+        sent_payload.update(json)
+        return _aim_no_action_response()
+
+    with patch.object(guard.async_handler, "post", side_effect=capture):
+        await guard.async_pre_call_hook(
+            user_api_key_dict=user_api_key,
+            cache=DualCache(),
+            data={"input": "responses-api content"},
+            call_type="acompletion",
+        )
+
+    assert sent_payload["messages"] == [
+        {"role": "user", "content": "responses-api content"}
+    ]
+
+
+@pytest.mark.asyncio
+async def test_aim_post_call_inspects_all_choices(user_api_key, monkeypatch):
+    """yVS0wMDO: ``n>1`` no longer bypasses Aim by hiding violations in
+    ``choices[1+]``."""
+    monkeypatch.setenv("AIM_API_KEY", "hs-aim-key")
+    from litellm.proxy.guardrails.guardrail_hooks.aim.aim import AimGuardrail
+
+    guard = AimGuardrail()
+    inspected_outputs = []
+
+    async def capture(request_data, output, hook, key_alias):
+        inspected_outputs.append(output)
+        return {"redacted_output": output}
+
+    response = ModelResponse(
+        choices=[
+            Choices(index=0, message=Message(role="assistant", content="first")),
+            Choices(index=1, message=Message(role="assistant", content="second")),
+            Choices(index=2, message=Message(role="assistant", content="third")),
+        ]
+    )
+
+    with patch.object(guard, "call_aim_guardrail_on_output", side_effect=capture):
+        await guard.async_post_call_success_hook(
+            data={"messages": [{"role": "user", "content": "hi"}]},
+            user_api_key_dict=user_api_key,
+            response=response,
+        )
+
+    # ``asyncio.gather`` is used for parallelism, so order of inspection is
+    # not guaranteed.
+    assert sorted(inspected_outputs) == ["first", "second", "third"]
+
+
+# ── Lakera v2 ─────────────────────────────────────────────────────────────────
+
+
+@pytest.mark.asyncio
+async def test_lakera_v2_inspects_responses_api_input(user_api_key, monkeypatch):
+    monkeypatch.setenv("LAKERA_API_KEY", "lk-test")
+    from litellm.proxy.guardrails.guardrail_hooks.lakera_ai_v2 import (
+        LakeraAIGuardrail,
+    )
+
+    guard = LakeraAIGuardrail(api_key="lk-test", on_flagged="monitor")
+
+    seen_messages = []
+
+    async def fake_call_v2_guard(messages, request_data, event_type):
+        seen_messages.append(messages)
+        return {"flagged": False}, {}
+
+    with patch.object(guard, "call_v2_guard", side_effect=fake_call_v2_guard):
+        await guard.async_pre_call_hook(
+            user_api_key_dict=user_api_key,
+            cache=DualCache(),
+            data={"input": "responses-api content"},
+            call_type="responses",
+        )
+
+    assert seen_messages == [[{"role": "user", "content": "responses-api content"}]]
+
+
+@pytest.mark.asyncio
+async def test_lakera_v2_responses_api_input_redacted_writeback(
+    user_api_key, monkeypatch
+):
+    """Greptile P1: when input arrives via Responses-API ``data["input"]``
+    (string) and Lakera flags PII, the redacted content must be written
+    back to ``data["input"]`` — the Responses-API backend reads from
+    ``input``, so writing only to ``messages`` would let unredacted PII
+    reach the LLM."""
+    monkeypatch.setenv("LAKERA_API_KEY", "lk-test")
+    from litellm.proxy.guardrails.guardrail_hooks.lakera_ai_v2 import (
+        LakeraAIGuardrail,
+    )
+
+    guard = LakeraAIGuardrail(api_key="lk-test", on_flagged="block")
+
+    async def fake_call_v2_guard(messages, request_data, event_type):
+        return ({"flagged": True, "payload": []}, {"EMAIL": 1})
+
+    def fake_mask(messages, lakera_response, masked_entity_count):
+        return [{"role": "user", "content": "[REDACTED EMAIL]"}]
+
+    with (
+        patch.object(guard, "call_v2_guard", side_effect=fake_call_v2_guard),
+        patch.object(guard, "_is_only_pii_violation", return_value=True),
+        patch.object(guard, "_mask_pii_in_messages", side_effect=fake_mask),
+    ):
+        data = {"input": "user@example.com leaked"}
+        await guard.async_pre_call_hook(
+            user_api_key_dict=user_api_key,
+            cache=DualCache(),
+            data=data,
+            call_type="responses",
+        )
+
+    assert data["input"] == "[REDACTED EMAIL]"
+
+
+@pytest.mark.asyncio
+async def test_aim_responses_api_input_anonymize_writeback(user_api_key, monkeypatch):
+    """Greptile P1: Aim's anonymize action must redact ``data["input"]``
+    for Responses-API requests, not just ``data["messages"]``."""
+    monkeypatch.setenv("AIM_API_KEY", "hs-aim-key")
+    from litellm.proxy.guardrails.guardrail_hooks.aim.aim import AimGuardrail
+
+    guard = AimGuardrail()
+
+    aim_response_body = {
+        "required_action": {"action_type": "anonymize_action"},
+        "redacted_chat": {
+            "all_redacted_messages": [
+                {"role": "user", "content": "[REDACTED] anonymised"}
+            ]
+        },
+    }
+
+    async def capture(url, headers, json):
+        return Response(
+            status_code=200,
+            json=aim_response_body,
+            request=Request("POST", "https://api.aim.security/fw/v1/analyze"),
+        )
+
+    with patch.object(guard.async_handler, "post", side_effect=capture):
+        data = {"input": "user@example.com leaked"}
+        await guard.async_pre_call_hook(
+            user_api_key_dict=user_api_key,
+            cache=DualCache(),
+            data=data,
+            call_type="responses",
+        )
+
+    assert data["input"] == "[REDACTED] anonymised"
+
+
+@pytest.mark.asyncio
+async def test_lakera_v2_multimodal_pii_degrades_to_block(user_api_key, monkeypatch):
+    """Mask-in-place uses Lakera offsets and cannot preserve image/audio
+    parts of multimodal input. When PII is detected on a multimodal
+    request, the hook must raise the block exception instead of silently
+    flattening ``data["messages"]`` to text-only."""
+    monkeypatch.setenv("LAKERA_API_KEY", "lk-test")
+    from fastapi import HTTPException
+
+    from litellm.proxy.guardrails.guardrail_hooks.lakera_ai_v2 import (
+        LakeraAIGuardrail,
+    )
+
+    guard = LakeraAIGuardrail(api_key="lk-test", on_flagged="block")
+
+    async def fake_call_v2_guard(messages, request_data, event_type):
+        return (
+            {
+                "flagged": True,
+                "payload": [{"detector_type": "pii/email", "start": 0, "end": 5}],
+            },
+            {"EMAIL": 1},
+        )
+
+    with (
+        patch.object(guard, "call_v2_guard", side_effect=fake_call_v2_guard),
+        patch.object(guard, "_is_only_pii_violation", return_value=True),
+        patch.object(
+            guard,
+            "_get_http_exception_for_blocked_guardrail",
+            return_value=HTTPException(status_code=400, detail="blocked"),
+        ),
+    ):
+        with pytest.raises(HTTPException):
+            await guard.async_pre_call_hook(
+                user_api_key_dict=user_api_key,
+                cache=DualCache(),
+                data={
+                    "messages": [
+                        {
+                            "role": "user",
+                            "content": [
+                                {"type": "text", "text": "leak"},
+                                {"type": "image_url", "image_url": {"url": "..."}},
+                            ],
+                        }
+                    ]
+                },
+                call_type="acompletion",
+            )
+
+
+@pytest.mark.asyncio
+async def test_lakera_v2_inspects_multimodal_list_content(user_api_key, monkeypatch):
+    monkeypatch.setenv("LAKERA_API_KEY", "lk-test")
+    from litellm.proxy.guardrails.guardrail_hooks.lakera_ai_v2 import (
+        LakeraAIGuardrail,
+    )
+
+    guard = LakeraAIGuardrail(api_key="lk-test", on_flagged="monitor")
+    seen_messages = []
+
+    async def fake_call_v2_guard(messages, request_data, event_type):
+        seen_messages.append(messages)
+        return {"flagged": False}, {}
+
+    with patch.object(guard, "call_v2_guard", side_effect=fake_call_v2_guard):
+        await guard.async_pre_call_hook(
+            user_api_key_dict=user_api_key,
+            cache=DualCache(),
+            data={
+                "messages": [
+                    {
+                        "role": "user",
+                        "content": [
+                            {"type": "text", "text": "AKIAEXAMPLE"},
+                            {"type": "image_url", "image_url": {"url": "..."}},
+                        ],
+                    }
+                ]
+            },
+            call_type="acompletion",
+        )
+
+    assert seen_messages == [[{"role": "user", "content": "AKIAEXAMPLE"}]]
+
+
+# ── Lasso ─────────────────────────────────────────────────────────────────────
+
+
+@pytest.mark.asyncio
+async def test_lasso_multimodal_falls_back_to_classify(user_api_key, monkeypatch):
+    """Lasso's classifix (mask) endpoint returns text that overwrites
+    ``data["messages"]``. For multimodal input that would silently strip
+    image parts — the hook must use the classify endpoint instead and
+    leave the original payload intact."""
+    monkeypatch.setenv("LASSO_API_KEY", "ls-test")
+    from litellm.proxy.guardrails.guardrail_hooks.lasso.lasso import LassoGuardrail
+
+    guard = LassoGuardrail(lasso_api_key="ls-test", mask=True)
+
+    masking_called = False
+    classify_called = False
+
+    async def fake_masking(data, cache, message_type, messages):
+        nonlocal masking_called
+        masking_called = True
+        return data
+
+    async def fake_classification(data, cache, message_type, messages):
+        nonlocal classify_called
+        classify_called = True
+        return data
+
+    with (
+        patch.object(guard, "_handle_masking", side_effect=fake_masking),
+        patch.object(guard, "_handle_classification", side_effect=fake_classification),
+    ):
+        await guard._run_lasso_guardrail(
+            data={
+                "messages": [
+                    {
+                        "role": "user",
+                        "content": [
+                            {"type": "text", "text": "hello"},
+                            {"type": "image_url", "image_url": {"url": "..."}},
+                        ],
+                    }
+                ]
+            },
+            cache=DualCache(),
+            message_type="PROMPT",
+        )
+
+    assert classify_called is True
+    assert masking_called is False
+
+
+@pytest.mark.asyncio
+async def test_lasso_inspects_responses_api_input(user_api_key, monkeypatch):
+    monkeypatch.setenv("LASSO_API_KEY", "ls-test")
+    from litellm.proxy.guardrails.guardrail_hooks.lasso.lasso import LassoGuardrail
+
+    guard = LassoGuardrail(lasso_api_key="ls-test")
+
+    seen_messages = []
+
+    async def fake_handle_classification(data, cache, message_type, messages):
+        seen_messages.append(messages)
+        return data
+
+    with patch.object(
+        guard, "_handle_classification", side_effect=fake_handle_classification
+    ):
+        await guard._run_lasso_guardrail(
+            data={"input": "responses-api content"},
+            cache=DualCache(),
+            message_type="PROMPT",
+        )
+
+    assert seen_messages == [[{"role": "user", "content": "responses-api content"}]]
+
+
+@pytest.mark.asyncio
+async def test_lasso_masking_writes_back_responses_api_input(user_api_key, monkeypatch):
+    """Krrish blocker: Lasso classifix masking must update ``data["input"]``
+    for Responses-API requests, not only ``data["messages"]``."""
+    monkeypatch.setenv("LASSO_API_KEY", "ls-test")
+    from litellm.proxy.guardrails.guardrail_hooks.lasso.lasso import LassoGuardrail
+
+    guard = LassoGuardrail(lasso_api_key="ls-test", mask=True)
+    lasso_response = {
+        "violations_detected": True,
+        "deputies": {"pii": True},
+        "findings": {"pii": [{"action": "AUTO_MASKING"}]},
+        "messages": [{"role": "user", "content": "[REDACTED]"}],
+    }
+
+    async def fake_call_lasso_api(headers, payload, api_url=None):
+        return lasso_response
+
+    data = {"input": "user@example.com leaked"}
+
+    with patch.object(guard, "_call_lasso_api", side_effect=fake_call_lasso_api):
+        await guard._run_lasso_guardrail(
+            data=data,
+            cache=DualCache(),
+            message_type="PROMPT",
+        )
+
+    assert data["input"] == "[REDACTED]"
+
+
+# ── Banned Keywords ───────────────────────────────────────────────────────────
+
+
+def test_banned_keywords_blocks_multimodal_content(monkeypatch):
+    """VERIA-11: a banned word hidden in a multimodal text part is now caught.
+
+    Uses ``acompletion`` — the value the proxy ingress actually passes
+    for ``/v1/chat/completions``. Asserting against the literal sync
+    ``"completion"`` would pass even if the hook's call-type gate were
+    misaligned with the runtime, so the test wouldn't catch regressions.
+    """
+    monkeypatch.setattr("litellm.banned_keywords_list", ["forbidden"], raising=False)
+    from enterprise.enterprise_hooks.banned_keywords import _ENTERPRISE_BannedKeywords
+    from fastapi import HTTPException
+
+    guard = _ENTERPRISE_BannedKeywords()
+
+    async def _run():
+        await guard.async_pre_call_hook(
+            user_api_key_dict=UserAPIKeyAuth(api_key="hashed", user_id="u"),
+            cache=DualCache(),
+            data={
+                "messages": [
+                    {
+                        "role": "user",
+                        "content": [
+                            {"type": "text", "text": "forbidden word here"},
+                            {"type": "image_url", "image_url": {"url": "..."}},
+                        ],
+                    }
+                ]
+            },
+            call_type="acompletion",
+        )
+
+    import asyncio
+
+    with pytest.raises(HTTPException) as exc:
+        asyncio.run(_run())
+    assert "forbidden" in str(exc.value.detail).lower()
+
+
+def test_banned_keywords_blocks_responses_api_input(monkeypatch):
+    monkeypatch.setattr("litellm.banned_keywords_list", ["forbidden"], raising=False)
+    from enterprise.enterprise_hooks.banned_keywords import _ENTERPRISE_BannedKeywords
+    from fastapi import HTTPException
+
+    guard = _ENTERPRISE_BannedKeywords()
+
+    async def _run():
+        await guard.async_pre_call_hook(
+            user_api_key_dict=UserAPIKeyAuth(api_key="hashed", user_id="u"),
+            cache=DualCache(),
+            data={"input": "this contains forbidden content"},
+            call_type="aresponses",
+        )
+
+    import asyncio
+
+    with pytest.raises(HTTPException):
+        asyncio.run(_run())
+
+
+@pytest.mark.parametrize("call_type", ["completion", "acompletion", "aresponses"])
+def test_banned_keywords_fires_on_text_content_call_types(monkeypatch, call_type):
+    """Locks the call-type gate to the runtime ``route_type`` values the
+    proxy actually emits — pinning a regression where the hook had
+    ``call_type == "completion"`` and silently no-op'd both
+    ``acompletion`` (chat completions) and ``aresponses`` (Responses API).
+    """
+    monkeypatch.setattr("litellm.banned_keywords_list", ["forbidden"], raising=False)
+    from enterprise.enterprise_hooks.banned_keywords import _ENTERPRISE_BannedKeywords
+    from fastapi import HTTPException
+
+    guard = _ENTERPRISE_BannedKeywords()
+
+    import asyncio
+
+    with pytest.raises(HTTPException):
+        asyncio.run(
+            guard.async_pre_call_hook(
+                user_api_key_dict=UserAPIKeyAuth(api_key="hashed", user_id="u"),
+                cache=DualCache(),
+                data={
+                    "messages": [{"role": "user", "content": "forbidden text"}],
+                    "input": "forbidden text",
+                },
+                call_type=call_type,
+            )
+        )
+
+
+def test_banned_keywords_skips_non_text_call_types(monkeypatch):
+    """Embedding / moderation / audio paths don't carry chat text and
+    aren't in the text-guardrail scope. They must not trigger the hook
+    even when the request body otherwise looks like a chat payload.
+    """
+    monkeypatch.setattr("litellm.banned_keywords_list", ["forbidden"], raising=False)
+    from enterprise.enterprise_hooks.banned_keywords import _ENTERPRISE_BannedKeywords
+
+    guard = _ENTERPRISE_BannedKeywords()
+
+    import asyncio
+
+    for call_type in ("aembedding", "amoderation", "aspeech", "atranscription"):
+        # Should return without raising, even though the data carries the banned word.
+        asyncio.run(
+            guard.async_pre_call_hook(
+                user_api_key_dict=UserAPIKeyAuth(api_key="hashed", user_id="u"),
+                cache=DualCache(),
+                data={"input": "forbidden text"},
+                call_type=call_type,
+            )
+        )
+
+
+@pytest.mark.asyncio
+async def test_banned_keywords_post_call_checks_all_choices(monkeypatch, user_api_key):
+    """Krrish blocker: ``n>1`` responses must not bypass post-call checks by
+    placing the banned text in ``choices[1+]``."""
+    monkeypatch.setattr("litellm.banned_keywords_list", ["forbidden"], raising=False)
+    from enterprise.enterprise_hooks.banned_keywords import _ENTERPRISE_BannedKeywords
+    from fastapi import HTTPException
+
+    guard = _ENTERPRISE_BannedKeywords()
+    response = ModelResponse(
+        choices=[
+            Choices(index=0, message=Message(role="assistant", content="clean")),
+            Choices(index=1, message=Message(role="assistant", content="forbidden")),
+        ]
+    )
+
+    with pytest.raises(HTTPException) as exc:
+        await guard.async_post_call_success_hook(
+            data={},
+            user_api_key_dict=user_api_key,
+            response=response,
+        )
+
+    assert "forbidden" in str(exc.value.detail).lower()
+
+
+# ── Azure Content Safety ──────────────────────────────────────────────────────
+
+
+@pytest.mark.asyncio
+@pytest.mark.parametrize(
+    "call_type, data",
+    [
+        (
+            "acompletion",
+            {
+                "messages": [
+                    {
+                        "role": "user",
+                        "content": [
+                            {"type": "text", "text": "scan me"},
+                            {"type": "image_url", "image_url": {"url": "..."}},
+                        ],
+                    }
+                ]
+            },
+        ),
+        ("aresponses", {"input": "scan me"}),
+    ],
+)
+async def test_azure_content_safety_pre_call_fires_on_runtime_call_types(
+    user_api_key, call_type, data
+):
+    """The proxy ingress passes ``route_type`` straight through as
+    ``call_type`` — ``acompletion`` for chat completions and
+    ``aresponses`` for the Responses API. The hook must inspect text
+    fragments under both, not only the literal ``"completion"`` string
+    used by some SDK callers."""
+    from litellm.proxy.hooks.azure_content_safety import _PROXY_AzureContentSafety
+
+    guard = _PROXY_AzureContentSafety.__new__(_PROXY_AzureContentSafety)
+    seen = []
+
+    async def fake_test_violation(content, source=None):
+        seen.append((content, source))
+
+    guard.test_violation = fake_test_violation
+    await guard.async_pre_call_hook(
+        user_api_key_dict=user_api_key,
+        cache=DualCache(),
+        data=data,
+        call_type=call_type,
+    )
+    assert ("scan me", "input") in seen
+
+
+@pytest.mark.asyncio
+async def test_azure_content_safety_post_call_checks_all_choices(user_api_key):
+    """Krrish blocker: ``n>1`` responses must not bypass Azure Content Safety
+    by placing the unsafe text in ``choices[1+]``."""
+    from fastapi import HTTPException
+    from litellm.proxy.hooks.azure_content_safety import _PROXY_AzureContentSafety
+
+    guard = _PROXY_AzureContentSafety.__new__(_PROXY_AzureContentSafety)
+    seen_outputs = []
+
+    async def fake_test_violation(content, source=None):
+        seen_outputs.append((content, source))
+        if "unsafe" in content:
+            raise HTTPException(status_code=400, detail={"error": "unsafe"})
+
+    guard.test_violation = fake_test_violation
+    response = ModelResponse(
+        choices=[
+            Choices(index=0, message=Message(role="assistant", content="clean")),
+            Choices(index=1, message=Message(role="assistant", content="unsafe")),
+            Choices(index=2, message=Message(role="assistant", content="later")),
+        ]
+    )
+
+    with pytest.raises(HTTPException):
+        await guard.async_post_call_success_hook(
+            data={},
+            user_api_key_dict=user_api_key,
+            response=response,
+        )
+
+    assert seen_outputs == [("clean", "output"), ("unsafe", "output")]
+
+
+# ── Secret Detection ──────────────────────────────────────────────────────────
+
+
+@pytest.mark.asyncio
+async def test_secret_detection_redacts_multimodal_text_parts(user_api_key):
+    from enterprise.litellm_enterprise.enterprise_callbacks.secret_detection import (
+        _ENTERPRISE_SecretDetection,
+    )
+
+    guard = _ENTERPRISE_SecretDetection()
+    data = {
+        "messages": [
+            {
+                "role": "user",
+                "content": [
+                    {
+                        "type": "text",
+                        "text": "AKIAIOSFODNN7EXAMPLE is the key",
+                    },
+                    {"type": "image_url", "image_url": {"url": "..."}},
+                ],
+            }
+        ]
+    }
+
+    await guard.async_pre_call_hook(
+        user_api_key_dict=user_api_key,
+        cache=DualCache(),
+        data=data,
+        call_type="completion",
+    )
+
+    parts = data["messages"][0]["content"]
+    assert "AKIAIOSFODNN7EXAMPLE" not in parts[0]["text"]
+    assert "[REDACTED]" in parts[0]["text"]
+    # Non-text part is preserved untouched.
+    assert parts[1] == {"type": "image_url", "image_url": {"url": "..."}}
+
+
+@pytest.mark.asyncio
+async def test_secret_detection_redacts_responses_api_input(user_api_key):
+    from enterprise.litellm_enterprise.enterprise_callbacks.secret_detection import (
+        _ENTERPRISE_SecretDetection,
+    )
+
+    guard = _ENTERPRISE_SecretDetection()
+    data = {"input": "leak: AKIAIOSFODNN7EXAMPLE"}
+
+    await guard.async_pre_call_hook(
+        user_api_key_dict=user_api_key,
+        cache=DualCache(),
+        data=data,
+        call_type="moderation",
+    )
+
+    assert "AKIAIOSFODNN7EXAMPLE" not in data["input"]
+    assert "[REDACTED]" in data["input"]
+
+
+# ── OpenAI Moderation ─────────────────────────────────────────────────────────
+
+
+@pytest.mark.asyncio
+async def test_openai_moderation_inspects_multimodal_content(monkeypatch, user_api_key):
+    """The aggregated text passed to ``llm_router.amoderation`` must include
+    list-format text parts and Responses-API input — without this, multimodal
+    content silently passed moderation."""
+    from enterprise.enterprise_hooks.openai_moderation import (
+        _ENTERPRISE_OpenAI_Moderation,
+    )
+
+    guard = _ENTERPRISE_OpenAI_Moderation()
+
+    seen_inputs = []
+
+    class FakeModeration:
+        results = [type("R", (), {"flagged": False})()]
+
+    async def fake_amoderation(model, input):
+        seen_inputs.append(input)
+        return FakeModeration()
+
+    fake_router = MagicMock()
+    fake_router.amoderation = AsyncMock(side_effect=fake_amoderation)
+
+    monkeypatch.setattr(
+        "litellm.proxy.proxy_server.llm_router", fake_router, raising=False
+    )
+
+    await guard.async_moderation_hook(
+        data={
+            "messages": [
+                {
+                    "role": "user",
+                    "content": [
+                        {"type": "text", "text": "alpha "},
+                        {"type": "image_url", "image_url": {"url": "..."}},
+                        {"type": "text", "text": "beta"},
+                    ],
+                }
+            ]
+        },
+        user_api_key_dict=user_api_key,
+        call_type="acompletion",
+    )
+
+    assert seen_inputs == ["alpha beta"]
+
+
+# ── Google Text Moderation ────────────────────────────────────────────────────
+
+
+@pytest.mark.asyncio
+async def test_google_text_moderation_inspects_multimodal_content(user_api_key):
+    """The text passed to Google's moderation client must include list-format
+    text parts."""
+    from enterprise.enterprise_hooks.google_text_moderation import (
+        _ENTERPRISE_GoogleTextModeration,
+    )
+
+    guard = _ENTERPRISE_GoogleTextModeration.__new__(_ENTERPRISE_GoogleTextModeration)
+    seen_documents = []
+
+    def fake_language_document(content, type_):
+        seen_documents.append(content)
+        return MagicMock()
+
+    fake_response = MagicMock()
+    fake_response.moderation_categories = []
+
+    guard.language_document = fake_language_document
+    guard.moderate_text_request = MagicMock(return_value=MagicMock())
+    guard.document_type = MagicMock()
+    guard.client = MagicMock()
+    guard.client.moderate_text = MagicMock(return_value=fake_response)
+
+    await guard.async_moderation_hook(
+        data={
+            "messages": [
+                {
+                    "role": "user",
+                    "content": [
+                        {"type": "text", "text": "hello "},
+                        {"type": "image_url", "image_url": {"url": "..."}},
+                        {"type": "text", "text": "world"},
+                    ],
+                }
+            ]
+        },
+        user_api_key_dict=user_api_key,
+        call_type="acompletion",
+    )
+
+    assert seen_documents == ["hello world"]
diff --git a/tests/test_litellm/proxy/health_endpoints/test_health_endpoints.py b/tests/test_litellm/proxy/health_endpoints/test_health_endpoints.py
index 353e67c9f77..2edcb00c967 100644
--- a/tests/test_litellm/proxy/health_endpoints/test_health_endpoints.py
+++ b/tests/test_litellm/proxy/health_endpoints/test_health_endpoints.py
@@ -11,10 +11,14 @@ sys.path.insert(
 
 import httpx
 import pytest
+from fastapi import FastAPI
+from fastapi.testclient import TestClient
 from prisma.errors import ClientNotConnectedError, HTTPClientClosedError, PrismaError
 
 import litellm.proxy.health_endpoints._health_endpoints as _health_endpoints_module
 
+from litellm.proxy._types import LitellmUserRoles, UserAPIKeyAuth
+from litellm.proxy.auth.user_api_key_auth import user_api_key_auth
 from litellm.proxy.health_endpoints._health_endpoints import (
     _db_health_readiness_check,
     get_callback_identifier,
@@ -512,7 +516,7 @@ def proxy_client(monkeypatch):
 
     Redis cache:
     - If REDIS_HOST is set in environment, Redis cache will be automatically configured
-    - Cache configuration is included in /health/readiness endpoint response
+    - Cache diagnostics are included in the authenticated /health/readiness/details response
     """
     client = create_proxy_test_client(monkeypatch)
     with client:
@@ -588,11 +592,7 @@ def test_health_liveness_endpoint(proxy_client):
 def test_health_readiness(proxy_client):
     """
     Test /health/readiness endpoint.
-    Database and Redis are optional - the endpoint should work whether they're available or not.
-
-    If DATABASE_URL is set, the endpoint will check database connectivity.
-    If REDIS_HOST is set, the endpoint will report cache status.
-    If neither is set, the endpoint should still return a valid health status.
+    Database and Redis are optional - the public endpoint should work whether they're available or not.
     """
     # Measure the time taken for the health check call
     start_time = time.perf_counter()
@@ -614,40 +614,57 @@ def test_health_readiness(proxy_client):
         duration_ms < 500
     ), f"Health check took {duration_ms:.2f}ms, expected < 500ms for readiness endpoint"
 
-    # Assert response contains expected fields
+    # Assert response contains only low-detail public probe fields
     response_data = response.json()
-    assert "status" in response_data, "Response should contain 'status' field"
-    assert (
-        "litellm_version" in response_data
-    ), "Response should contain 'litellm_version' field"
-
-    # Display all health endpoint response fields (matches what /health/readiness returns)
-    print("\n" + "-" * 60)
-    print("HEALTH ENDPOINT RESPONSE")
-    print("-" * 60)
-    print(f"Status: {response_data.get('status', 'unknown')}")
-    print(f"Database: {response_data.get('db', 'not reported')}")
-    print(f"LiteLLM Version: {response_data.get('litellm_version', 'unknown')}")
-    print(f"Success Callbacks: {response_data.get('success_callbacks', [])}")
-    print(f"Cache: {response_data.get('cache', 'none')}")
-    print(
-        f"Use AioHTTP Transport: {response_data.get('use_aiohttp_transport', 'unknown')}"
-    )
+    assert response_data == {"status": "healthy"}
     print(f"Response time: {duration_ms:.2f}ms")
 
-    # If database status is reported, verify it's a valid status
-    # Database may be "connected", "disconnected", "unknown", or "Not connected" (when prisma_client is None)
-    if "db" in response_data:
-        db_status = response_data["db"]
-        # Database status can be any of these valid states
-        assert db_status in [
-            "connected",
-            "disconnected",
-            "unknown",
-            "Not connected",
-        ], f"Unexpected db status: {db_status}"
 
-    print("=" * 60 + "\n")
+def test_health_readiness_details_returns_diagnostic_fields(monkeypatch):
+    """
+    Detailed readiness diagnostics stay available behind the auth dependency.
+    """
+    app = FastAPI()
+    app.include_router(_health_endpoints_module.router)
+    app.dependency_overrides[user_api_key_auth] = lambda: UserAPIKeyAuth(
+        user_role=LitellmUserRoles.PROXY_ADMIN
+    )
+    client = TestClient(app)
+
+    monkeypatch.setattr("litellm.proxy.proxy_server.prisma_client", None)
+
+    response = client.get("/health/readiness/details")
+
+    assert response.status_code == 200, response.text
+    response_data = response.json()
+    assert response_data["status"] == "healthy"
+    assert "litellm_version" in response_data
+    assert "success_callbacks" in response_data
+    assert "cache" in response_data
+
+
+def test_health_readiness_allows_explicit_legacy_public_details(monkeypatch):
+    """
+    Operators can explicitly preserve the legacy public readiness payload.
+    """
+    app = FastAPI()
+    app.include_router(_health_endpoints_module.router)
+    client = TestClient(app)
+
+    monkeypatch.setattr("litellm.proxy.proxy_server.prisma_client", None)
+    monkeypatch.setattr(
+        "litellm.proxy.proxy_server.general_settings",
+        {"allow_public_health_readiness_details": True},
+    )
+
+    response = client.get("/health/readiness")
+
+    assert response.status_code == 200, response.text
+    response_data = response.json()
+    assert response_data["status"] == "healthy"
+    assert "litellm_version" in response_data
+    assert "success_callbacks" in response_data
+    assert "cache" in response_data
 
 
 def test_get_callback_identifier_string_and_object_with_callback_name():
@@ -1503,8 +1520,7 @@ async def test_health_readiness_returns_503_when_db_disconnected():
         result = await health_readiness(response=response)
 
     assert response.status_code == 503
-    assert result["db"] == "disconnected"
-    assert result["status"] == "healthy"  # body shape unchanged for back-compat
+    assert result == {"status": "healthy"}
 
 
 @pytest.mark.asyncio
@@ -1527,7 +1543,7 @@ async def test_health_readiness_returns_200_when_db_connected():
         result = await health_readiness(response=response)
 
     assert response.status_code == 200
-    assert result["db"] == "connected"
+    assert result == {"status": "healthy"}
 
 
 @pytest.mark.asyncio
@@ -1546,7 +1562,7 @@ async def test_health_readiness_returns_200_when_no_db_configured():
         result = await health_readiness(response=response)
 
     assert response.status_code == 200
-    assert result["db"] == "Not connected"
+    assert result == {"status": "healthy"}
 
 
 def test_clean_endpoint_data_strips_credentials_keeps_routing_fields():
diff --git a/tests/test_litellm/proxy/hooks/test_proxy_track_cost_callback.py b/tests/test_litellm/proxy/hooks/test_proxy_track_cost_callback.py
index 8b5835139b4..771e10a54a0 100644
--- a/tests/test_litellm/proxy/hooks/test_proxy_track_cost_callback.py
+++ b/tests/test_litellm/proxy/hooks/test_proxy_track_cost_callback.py
@@ -990,3 +990,80 @@ async def test_async_post_call_failure_hook_uses_actual_start_time():
         # Duration should be approximately 60 seconds, not 0
         duration = (call_args["end_time"] - call_args["start_time"]).total_seconds()
         assert duration >= 55, f"Duration should be ~60s, got {duration}s"
+
+
+async def _invoke_failure_hook_with_raised_exception():
+    """Run the failure hook with an exception that has a real ``__traceback__``.
+
+    Returns the metadata dict that was forwarded to ``update_database`` so the
+    caller can assert on its ``error_information`` payload.
+    """
+    logger = _ProxyDBLogger()
+    user_api_key_dict = UserAPIKeyAuth(
+        api_key="test_api_key",
+        user_id="u",
+        team_id="t",
+    )
+    request_data = {
+        "model": "gpt-4",
+        "messages": [{"role": "user", "content": "hi"}],
+        "metadata": {},
+        "proxy_server_request": {},
+    }
+
+    try:
+        raise RuntimeError("boom-with-traceback")
+    except RuntimeError as exc:
+        original_exception = exc
+
+    with patch(
+        "litellm.proxy.db.db_spend_update_writer.DBSpendUpdateWriter.update_database",
+        new_callable=AsyncMock,
+    ) as mock_update_database:
+        await logger.async_post_call_failure_hook(
+            request_data=request_data,
+            original_exception=original_exception,
+            user_api_key_dict=user_api_key_dict,
+        )
+        call_args = mock_update_database.call_args[1]
+        return call_args["kwargs"]["litellm_params"]["metadata"]
+
+
+@pytest.mark.asyncio
+async def test_failure_hook_keeps_error_information_traceback_by_default(monkeypatch):
+    """Without the opt-in env var, the SpendLogs row carries the full traceback."""
+    monkeypatch.delenv("LITELLM_SUPPRESS_SPEND_LOG_TRACEBACKS", raising=False)
+
+    metadata = await _invoke_failure_hook_with_raised_exception()
+
+    error_information = metadata["error_information"]
+    assert error_information["error_class"] == "RuntimeError"
+    assert error_information["error_message"] == "boom-with-traceback"
+    assert error_information["traceback"], "expected a non-empty traceback by default"
+
+
+@pytest.mark.asyncio
+async def test_failure_hook_drops_error_information_traceback_when_env_set(
+    monkeypatch,
+):
+    """With the opt-in env var, the traceback key is omitted from the
+    SpendLogs row entirely so the per-row Metadata pane in the UI (which
+    renders ``error_information`` as a JSON blob) doesn't show a noisy empty
+    ``"traceback": ""`` line. The other fields (error_class / error_message /
+    error_code) are preserved."""
+    import logging
+
+    from litellm._logging import verbose_proxy_logger
+
+    monkeypatch.setenv("LITELLM_SUPPRESS_SPEND_LOG_TRACEBACKS", "true")
+    original_level = verbose_proxy_logger.level
+    verbose_proxy_logger.setLevel(logging.INFO)
+    try:
+        metadata = await _invoke_failure_hook_with_raised_exception()
+    finally:
+        verbose_proxy_logger.setLevel(original_level)
+
+    error_information = metadata["error_information"]
+    assert "traceback" not in error_information
+    assert error_information["error_class"] == "RuntimeError"
+    assert error_information["error_message"] == "boom-with-traceback"
diff --git a/tests/test_litellm/proxy/management_endpoints/scim/test_scim_key_deactivation.py b/tests/test_litellm/proxy/management_endpoints/scim/test_scim_key_deactivation.py
new file mode 100644
index 00000000000..0a9cf8b84cb
--- /dev/null
+++ b/tests/test_litellm/proxy/management_endpoints/scim/test_scim_key_deactivation.py
@@ -0,0 +1,543 @@
+"""Tests for SCIM-driven virtual key deactivation.
+
+When a SCIM provider deprovisions a user (DELETE) or marks them inactive
+(PATCH/PUT with active=False), virtual keys owned by that user must stop
+working immediately. Reactivating (active=True) must un-block them.
+"""
+
+from unittest.mock import AsyncMock, MagicMock, patch
+
+import pytest
+
+from litellm.proxy._types import LiteLLM_UserTable
+from litellm.proxy.management_endpoints.scim.scim_v2 import (
+    _set_user_keys_blocked,
+    delete_user,
+    patch_user,
+    update_user,
+)
+from litellm.types.proxy.management_endpoints.scim_v2 import (
+    SCIMPatchOp,
+    SCIMPatchOperation,
+    SCIMUser,
+    SCIMUserEmail,
+    SCIMUserName,
+)
+
+
+def _build_token_row(token: str, user_id: str, blocked: bool, metadata=None):
+    row = MagicMock()
+    row.token = token
+    row.user_id = user_id
+    row.blocked = blocked
+    row.metadata = metadata if metadata is not None else {}
+    return row
+
+
+def _build_prisma_with_keys(user_keys, mock_user=None, updated_user=None):
+    mock_client = MagicMock()
+    mock_db = MagicMock()
+    mock_client.db = mock_db
+    if mock_user is not None:
+        mock_db.litellm_usertable.find_unique = AsyncMock(return_value=mock_user)
+    if updated_user is not None:
+        mock_db.litellm_usertable.update = AsyncMock(return_value=updated_user)
+    mock_db.litellm_usertable.delete = AsyncMock(return_value=None)
+    mock_db.litellm_teamtable.find_unique = AsyncMock(return_value=None)
+
+    mock_db.litellm_verificationtoken.find_many = AsyncMock(return_value=user_keys)
+    mock_db.litellm_verificationtoken.update_many = AsyncMock(return_value=None)
+    mock_db.litellm_verificationtoken.update = AsyncMock(return_value=None)
+    mock_db.litellm_invitationlink.delete_many = AsyncMock(return_value=None)
+    mock_db.litellm_organizationmembership.delete_many = AsyncMock(return_value=None)
+    mock_db.litellm_teammembership.delete_many = AsyncMock(return_value=None)
+    return mock_client, mock_db
+
+
+@pytest.mark.asyncio
+async def test_set_user_keys_blocked_flips_state_and_invalidates_cache():
+    """_set_user_keys_blocked must update_many AND invalidate each token in the cache."""
+    keys = [
+        _build_token_row("hash-1", "user-x", blocked=False),
+        _build_token_row("hash-2", "user-x", blocked=False),
+    ]
+    mock_client, mock_db = _build_prisma_with_keys(keys)
+
+    cache_deletions = []
+
+    async def fake_delete(hashed_token, user_api_key_cache, proxy_logging_obj):
+        cache_deletions.append(hashed_token)
+
+    with (
+        patch("litellm.proxy.proxy_server.prisma_client", mock_client),
+        patch("litellm.proxy.proxy_server.user_api_key_cache", MagicMock()),
+        patch("litellm.proxy.proxy_server.proxy_logging_obj", MagicMock()),
+        patch(
+            "litellm.proxy.management_endpoints.scim.scim_v2._delete_cache_key_object",
+            AsyncMock(side_effect=fake_delete),
+        ),
+    ):
+        flipped = await _set_user_keys_blocked(user_id="user-x", blocked=True)
+
+    assert flipped == 2
+    # Each key gets a per-row update that flips `blocked` and stamps the
+    # SCIM-block marker into metadata.
+    assert mock_db.litellm_verificationtoken.update.await_count == 2
+    update_calls = mock_db.litellm_verificationtoken.update.await_args_list
+    seen_tokens = set()
+    for call in update_calls:
+        kwargs = call.kwargs or call[1]
+        seen_tokens.add(kwargs["where"]["token"])
+        assert kwargs["data"]["blocked"] is True
+        assert '"scim_blocked": true' in kwargs["data"]["metadata"]
+    assert seen_tokens == {"hash-1", "hash-2"}
+    assert sorted(cache_deletions) == ["hash-1", "hash-2"]
+
+
+@pytest.mark.asyncio
+async def test_set_user_keys_blocked_noop_when_no_matching_keys():
+    """If no keys match the desired flip, neither update_many nor cache delete runs."""
+    mock_client, mock_db = _build_prisma_with_keys(user_keys=[])
+
+    with (
+        patch("litellm.proxy.proxy_server.prisma_client", mock_client),
+        patch("litellm.proxy.proxy_server.user_api_key_cache", MagicMock()),
+        patch("litellm.proxy.proxy_server.proxy_logging_obj", MagicMock()),
+        patch(
+            "litellm.proxy.management_endpoints.scim.scim_v2._delete_cache_key_object",
+            AsyncMock(),
+        ) as mocked_delete,
+    ):
+        flipped = await _set_user_keys_blocked(user_id="user-x", blocked=True)
+
+    assert flipped == 0
+    mock_db.litellm_verificationtoken.update.assert_not_called()
+    mock_db.litellm_verificationtoken.update_many.assert_not_called()
+    mocked_delete.assert_not_called()
+
+
+@pytest.mark.asyncio
+async def test_set_user_keys_unblocked_skips_admin_blocked_keys():
+    """Reactivation must leave keys an admin blocked (no scim_blocked marker) alone."""
+    keys = [
+        # SCIM-blocked: should be unblocked.
+        _build_token_row(
+            "hash-scim", "user-x", blocked=True, metadata={"scim_blocked": True}
+        ),
+        # Admin-blocked for unrelated reasons: must remain blocked.
+        _build_token_row("hash-admin", "user-x", blocked=True, metadata={}),
+    ]
+    mock_client, mock_db = _build_prisma_with_keys(keys)
+
+    cache_deletions = []
+
+    async def fake_delete(hashed_token, user_api_key_cache, proxy_logging_obj):
+        cache_deletions.append(hashed_token)
+
+    with (
+        patch("litellm.proxy.proxy_server.prisma_client", mock_client),
+        patch("litellm.proxy.proxy_server.user_api_key_cache", MagicMock()),
+        patch("litellm.proxy.proxy_server.proxy_logging_obj", MagicMock()),
+        patch(
+            "litellm.proxy.management_endpoints.scim.scim_v2._delete_cache_key_object",
+            AsyncMock(side_effect=fake_delete),
+        ),
+    ):
+        flipped = await _set_user_keys_blocked(user_id="user-x", blocked=False)
+
+    assert flipped == 1
+    mock_db.litellm_verificationtoken.update.assert_awaited_once()
+    update_kwargs = mock_db.litellm_verificationtoken.update.await_args.kwargs
+    assert update_kwargs["where"] == {"token": "hash-scim"}
+    assert update_kwargs["data"]["blocked"] is False
+    assert cache_deletions == ["hash-scim"]
+
+
+@pytest.mark.asyncio
+async def test_scim_delete_user_blocks_keys_before_deleting_user():
+    """SCIM DELETE /Users/{id} must block the user's keys before removing the row."""
+    user_id = "user-to-delete"
+    mock_user = LiteLLM_UserTable(
+        user_id=user_id,
+        user_email="x@example.com",
+        user_alias=None,
+        teams=[],
+        metadata={},
+    )
+    keys = [_build_token_row("hash-a", user_id, blocked=False)]
+    mock_client, mock_db = _build_prisma_with_keys(keys, mock_user=mock_user)
+
+    with (
+        patch("litellm.proxy.proxy_server.prisma_client", mock_client),
+        patch("litellm.proxy.proxy_server.user_api_key_cache", MagicMock()),
+        patch("litellm.proxy.proxy_server.proxy_logging_obj", MagicMock()),
+        patch(
+            "litellm.proxy.management_endpoints.scim.scim_v2._delete_cache_key_object",
+            AsyncMock(),
+        ),
+    ):
+        response = await delete_user(user_id=user_id)
+
+    assert response.status_code == 204
+    mock_db.litellm_verificationtoken.update.assert_awaited_once()
+    update_kwargs = mock_db.litellm_verificationtoken.update.await_args.kwargs
+    assert update_kwargs["where"] == {"token": "hash-a"}
+    assert update_kwargs["data"]["blocked"] is True
+    assert '"scim_blocked": true' in update_kwargs["data"]["metadata"]
+    mock_db.litellm_usertable.delete.assert_awaited_once_with(
+        where={"user_id": user_id}
+    )
+
+
+@pytest.mark.asyncio
+async def test_scim_delete_user_clears_fk_referenced_rows_before_user_delete():
+    user_id = "user-with-invite"
+    mock_user = LiteLLM_UserTable(
+        user_id=user_id,
+        user_email="x@example.com",
+        user_alias=None,
+        teams=[],
+        metadata={},
+    )
+    mock_client, mock_db = _build_prisma_with_keys(user_keys=[], mock_user=mock_user)
+
+    call_order: list = []
+    mock_db.litellm_invitationlink.delete_many = AsyncMock(
+        side_effect=lambda **kw: call_order.append(("invitation", kw)) or None
+    )
+    mock_db.litellm_organizationmembership.delete_many = AsyncMock(
+        side_effect=lambda **kw: call_order.append(("orgmembership", kw)) or None
+    )
+    mock_db.litellm_teammembership.delete_many = AsyncMock(
+        side_effect=lambda **kw: call_order.append(("teammembership", kw)) or None
+    )
+    mock_db.litellm_usertable.delete = AsyncMock(
+        side_effect=lambda **kw: call_order.append(("user", kw)) or None
+    )
+
+    with (
+        patch("litellm.proxy.proxy_server.prisma_client", mock_client),
+        patch("litellm.proxy.proxy_server.user_api_key_cache", MagicMock()),
+        patch("litellm.proxy.proxy_server.proxy_logging_obj", MagicMock()),
+        patch(
+            "litellm.proxy.management_endpoints.scim.scim_v2._delete_cache_key_object",
+            AsyncMock(),
+        ),
+    ):
+        response = await delete_user(user_id=user_id)
+
+    assert response.status_code == 204
+
+    mock_db.litellm_invitationlink.delete_many.assert_awaited_once()
+    inv_kwargs = mock_db.litellm_invitationlink.delete_many.await_args.kwargs
+    assert inv_kwargs == {
+        "where": {
+            "OR": [
+                {"user_id": user_id},
+                {"created_by": user_id},
+                {"updated_by": user_id},
+            ]
+        }
+    }
+    mock_db.litellm_organizationmembership.delete_many.assert_awaited_once_with(
+        where={"user_id": user_id}
+    )
+    mock_db.litellm_teammembership.delete_many.assert_awaited_once_with(
+        where={"user_id": user_id}
+    )
+
+    stages = [stage for stage, _ in call_order]
+    assert stages.index("user") > stages.index("invitation")
+    assert stages.index("user") > stages.index("orgmembership")
+
+
+@pytest.mark.asyncio
+async def test_scim_patch_user_active_false_blocks_keys():
+    user_id = "scim-user"
+    mock_user = LiteLLM_UserTable(
+        user_id=user_id,
+        user_email="x@example.com",
+        user_alias=None,
+        teams=[],
+        metadata={"scim_active": True},
+    )
+    updated_user = LiteLLM_UserTable(
+        user_id=user_id,
+        user_email="x@example.com",
+        user_alias=None,
+        teams=[],
+        metadata={"scim_active": False, "scim_metadata": {}},
+    )
+    keys = [_build_token_row("hash-z", user_id, blocked=False)]
+    mock_client, mock_db = _build_prisma_with_keys(
+        keys, mock_user=mock_user, updated_user=updated_user
+    )
+
+    patch_ops = SCIMPatchOp(
+        Operations=[SCIMPatchOperation(op="replace", path="active", value="False")]
+    )
+    mock_scim_user = SCIMUser(
+        schemas=["urn:ietf:params:scim:schemas:core:2.0:User"],
+        id=user_id,
+        userName=user_id,
+        name=SCIMUserName(familyName="X", givenName="Y"),
+        emails=[SCIMUserEmail(value="x@example.com")],
+        active=False,
+    )
+
+    with (
+        patch("litellm.proxy.proxy_server.prisma_client", mock_client),
+        patch("litellm.proxy.proxy_server.user_api_key_cache", MagicMock()),
+        patch("litellm.proxy.proxy_server.proxy_logging_obj", MagicMock()),
+        patch(
+            "litellm.proxy.management_endpoints.scim.scim_v2.ScimTransformations.transform_litellm_user_to_scim_user",
+            AsyncMock(return_value=mock_scim_user),
+        ),
+        patch(
+            "litellm.proxy.management_endpoints.scim.scim_v2._delete_cache_key_object",
+            AsyncMock(),
+        ),
+    ):
+        await patch_user(user_id=user_id, patch_ops=patch_ops)
+
+    mock_db.litellm_verificationtoken.update.assert_awaited_once()
+    update_kwargs = mock_db.litellm_verificationtoken.update.await_args.kwargs
+    assert update_kwargs["where"] == {"token": "hash-z"}
+    assert update_kwargs["data"]["blocked"] is True
+    assert '"scim_blocked": true' in update_kwargs["data"]["metadata"]
+
+
+@pytest.mark.asyncio
+async def test_scim_patch_user_active_true_unblocks_keys():
+    user_id = "scim-user"
+    mock_user = LiteLLM_UserTable(
+        user_id=user_id,
+        user_email="x@example.com",
+        user_alias=None,
+        teams=[],
+        metadata={"scim_active": False},
+    )
+    updated_user = LiteLLM_UserTable(
+        user_id=user_id,
+        user_email="x@example.com",
+        user_alias=None,
+        teams=[],
+        metadata={"scim_active": True, "scim_metadata": {}},
+    )
+    keys = [
+        _build_token_row(
+            "hash-r", user_id, blocked=True, metadata={"scim_blocked": True}
+        )
+    ]
+    mock_client, mock_db = _build_prisma_with_keys(
+        keys, mock_user=mock_user, updated_user=updated_user
+    )
+
+    patch_ops = SCIMPatchOp(
+        Operations=[SCIMPatchOperation(op="replace", path="active", value="True")]
+    )
+    mock_scim_user = SCIMUser(
+        schemas=["urn:ietf:params:scim:schemas:core:2.0:User"],
+        id=user_id,
+        userName=user_id,
+        name=SCIMUserName(familyName="X", givenName="Y"),
+        emails=[SCIMUserEmail(value="x@example.com")],
+        active=True,
+    )
+
+    with (
+        patch("litellm.proxy.proxy_server.prisma_client", mock_client),
+        patch("litellm.proxy.proxy_server.user_api_key_cache", MagicMock()),
+        patch("litellm.proxy.proxy_server.proxy_logging_obj", MagicMock()),
+        patch(
+            "litellm.proxy.management_endpoints.scim.scim_v2.ScimTransformations.transform_litellm_user_to_scim_user",
+            AsyncMock(return_value=mock_scim_user),
+        ),
+        patch(
+            "litellm.proxy.management_endpoints.scim.scim_v2._delete_cache_key_object",
+            AsyncMock(),
+        ),
+    ):
+        await patch_user(user_id=user_id, patch_ops=patch_ops)
+
+    mock_db.litellm_verificationtoken.update.assert_awaited_once()
+    update_kwargs = mock_db.litellm_verificationtoken.update.await_args.kwargs
+    assert update_kwargs["where"] == {"token": "hash-r"}
+    assert update_kwargs["data"]["blocked"] is False
+    # SCIM-block marker is stripped on reactivation.
+    assert "scim_blocked" not in update_kwargs["data"]["metadata"]
+
+
+@pytest.mark.asyncio
+async def test_scim_patch_user_no_active_change_does_not_touch_keys():
+    """A patch that doesn't flip active must not call update_many on tokens."""
+    user_id = "scim-user"
+    mock_user = LiteLLM_UserTable(
+        user_id=user_id,
+        user_email="x@example.com",
+        user_alias="Old",
+        teams=[],
+        metadata={"scim_active": True},
+    )
+    updated_user = LiteLLM_UserTable(
+        user_id=user_id,
+        user_email="x@example.com",
+        user_alias="New",
+        teams=[],
+        metadata={"scim_active": True, "scim_metadata": {}},
+    )
+    mock_client, mock_db = _build_prisma_with_keys(
+        user_keys=[], mock_user=mock_user, updated_user=updated_user
+    )
+
+    patch_ops = SCIMPatchOp(
+        Operations=[SCIMPatchOperation(op="replace", path="displayName", value="New")]
+    )
+    mock_scim_user = SCIMUser(
+        schemas=["urn:ietf:params:scim:schemas:core:2.0:User"],
+        id=user_id,
+        userName=user_id,
+        name=SCIMUserName(familyName="X", givenName="Y"),
+        emails=[SCIMUserEmail(value="x@example.com")],
+        active=True,
+    )
+
+    with (
+        patch("litellm.proxy.proxy_server.prisma_client", mock_client),
+        patch("litellm.proxy.proxy_server.user_api_key_cache", MagicMock()),
+        patch("litellm.proxy.proxy_server.proxy_logging_obj", MagicMock()),
+        patch(
+            "litellm.proxy.management_endpoints.scim.scim_v2.ScimTransformations.transform_litellm_user_to_scim_user",
+            AsyncMock(return_value=mock_scim_user),
+        ),
+        patch(
+            "litellm.proxy.management_endpoints.scim.scim_v2._delete_cache_key_object",
+            AsyncMock(),
+        ),
+    ):
+        await patch_user(user_id=user_id, patch_ops=patch_ops)
+
+    mock_db.litellm_verificationtoken.find_many.assert_not_called()
+    mock_db.litellm_verificationtoken.update_many.assert_not_called()
+
+
+def _build_put_user_payload(user_id: str, **overrides) -> dict:
+    payload = {
+        "schemas": ["urn:ietf:params:scim:schemas:core:2.0:User"],
+        "id": user_id,
+        "userName": user_id,
+        "name": {"givenName": "Y", "familyName": "X"},
+        "emails": [{"value": "x@example.com", "primary": True}],
+    }
+    payload.update(overrides)
+    return payload
+
+
+@pytest.mark.asyncio
+async def test_scim_put_user_omitting_active_preserves_deactivated_state():
+    """PUT without `active` must not silently reactivate a SCIM-deactivated user
+    nor unblock their SCIM-blocked keys."""
+    user_id = "scim-user"
+    deactivated = LiteLLM_UserTable(
+        user_id=user_id,
+        user_email="x@example.com",
+        user_alias=None,
+        teams=[],
+        metadata={"scim_active": False},
+    )
+    keys = [
+        _build_token_row(
+            "hash-keep-blocked", user_id, blocked=True, metadata={"scim_blocked": True}
+        )
+    ]
+    mock_client, mock_db = _build_prisma_with_keys(
+        keys, mock_user=deactivated, updated_user=deactivated
+    )
+
+    put_user = SCIMUser.model_validate(_build_put_user_payload(user_id))
+
+    mock_scim_user = SCIMUser(
+        schemas=["urn:ietf:params:scim:schemas:core:2.0:User"],
+        id=user_id,
+        userName=user_id,
+        name=SCIMUserName(familyName="X", givenName="Y"),
+        emails=[SCIMUserEmail(value="x@example.com")],
+        active=False,
+    )
+
+    with (
+        patch("litellm.proxy.proxy_server.prisma_client", mock_client),
+        patch("litellm.proxy.proxy_server.user_api_key_cache", MagicMock()),
+        patch("litellm.proxy.proxy_server.proxy_logging_obj", MagicMock()),
+        patch(
+            "litellm.proxy.management_endpoints.scim.scim_v2.ScimTransformations.transform_litellm_user_to_scim_user",
+            AsyncMock(return_value=mock_scim_user),
+        ),
+        patch(
+            "litellm.proxy.management_endpoints.scim.scim_v2._delete_cache_key_object",
+            AsyncMock(),
+        ),
+    ):
+        await update_user(user_id=user_id, user=put_user)
+
+    mock_db.litellm_verificationtoken.update.assert_not_called()
+    mock_db.litellm_verificationtoken.update_many.assert_not_called()
+    mock_db.litellm_usertable.update.assert_awaited_once()
+    update_kwargs = mock_db.litellm_usertable.update.await_args.kwargs
+    assert '"scim_active": false' in update_kwargs["data"]["metadata"]
+
+
+@pytest.mark.asyncio
+async def test_scim_put_user_explicit_active_false_blocks_keys():
+    """PUT explicitly setting active=False on an active user must cascade to keys."""
+    user_id = "scim-user"
+    active = LiteLLM_UserTable(
+        user_id=user_id,
+        user_email="x@example.com",
+        user_alias=None,
+        teams=[],
+        metadata={"scim_active": True},
+    )
+    deactivated = LiteLLM_UserTable(
+        user_id=user_id,
+        user_email="x@example.com",
+        user_alias=None,
+        teams=[],
+        metadata={"scim_active": False, "scim_metadata": {}},
+    )
+    keys = [_build_token_row("hash-block-me", user_id, blocked=False)]
+    mock_client, mock_db = _build_prisma_with_keys(
+        keys, mock_user=active, updated_user=deactivated
+    )
+
+    put_user = SCIMUser.model_validate(_build_put_user_payload(user_id, active=False))
+
+    mock_scim_user = SCIMUser(
+        schemas=["urn:ietf:params:scim:schemas:core:2.0:User"],
+        id=user_id,
+        userName=user_id,
+        name=SCIMUserName(familyName="X", givenName="Y"),
+        emails=[SCIMUserEmail(value="x@example.com")],
+        active=False,
+    )
+
+    with (
+        patch("litellm.proxy.proxy_server.prisma_client", mock_client),
+        patch("litellm.proxy.proxy_server.user_api_key_cache", MagicMock()),
+        patch("litellm.proxy.proxy_server.proxy_logging_obj", MagicMock()),
+        patch(
+            "litellm.proxy.management_endpoints.scim.scim_v2.ScimTransformations.transform_litellm_user_to_scim_user",
+            AsyncMock(return_value=mock_scim_user),
+        ),
+        patch(
+            "litellm.proxy.management_endpoints.scim.scim_v2._delete_cache_key_object",
+            AsyncMock(),
+        ),
+    ):
+        await update_user(user_id=user_id, user=put_user)
+
+    mock_db.litellm_verificationtoken.update.assert_awaited_once()
+    update_kwargs = mock_db.litellm_verificationtoken.update.await_args.kwargs
+    assert update_kwargs["where"] == {"token": "hash-block-me"}
+    assert update_kwargs["data"]["blocked"] is True
+    assert '"scim_blocked": true' in update_kwargs["data"]["metadata"]
diff --git a/tests/test_litellm/proxy/management_endpoints/scim/test_scim_patch_user.py b/tests/test_litellm/proxy/management_endpoints/scim/test_scim_patch_user.py
index 2c143a0a9a3..2a2bed13bf4 100644
--- a/tests/test_litellm/proxy/management_endpoints/scim/test_scim_patch_user.py
+++ b/tests/test_litellm/proxy/management_endpoints/scim/test_scim_patch_user.py
@@ -42,6 +42,9 @@ async def test_patch_user_updates_fields():
     mock_db.litellm_usertable.find_unique = AsyncMock(return_value=mock_user)
     mock_db.litellm_usertable.update = AsyncMock(side_effect=mock_update)
     mock_db.litellm_teamtable.find_unique = AsyncMock(return_value=None)
+    # active=False triggers cascading key-block. No keys here, so return [].
+    mock_db.litellm_verificationtoken.find_many = AsyncMock(return_value=[])
+    mock_db.litellm_verificationtoken.update_many = AsyncMock(return_value=None)
 
     # Mock the transformation function to return a proper SCIMUser
     mock_scim_user = SCIMUser(
@@ -194,6 +197,8 @@ async def test_patch_user_deprovision_without_path():
     mock_client.db = mock_db
     mock_db.litellm_usertable.find_unique = AsyncMock(return_value=mock_user)
     mock_db.litellm_usertable.update = AsyncMock(side_effect=mock_update)
+    mock_db.litellm_verificationtoken.find_many = AsyncMock(return_value=[])
+    mock_db.litellm_verificationtoken.update_many = AsyncMock(return_value=None)
 
     mock_scim_user = SCIMUser(
         schemas=["urn:ietf:params:scim:schemas:core:2.0:User"],
@@ -271,6 +276,8 @@ async def test_patch_user_multiple_fields_without_path():
     mock_client.db = mock_db
     mock_db.litellm_usertable.find_unique = AsyncMock(return_value=mock_user)
     mock_db.litellm_usertable.update = AsyncMock(side_effect=mock_update)
+    mock_db.litellm_verificationtoken.find_many = AsyncMock(return_value=[])
+    mock_db.litellm_verificationtoken.update_many = AsyncMock(return_value=None)
 
     mock_scim_user = SCIMUser(
         schemas=["urn:ietf:params:scim:schemas:core:2.0:User"],
diff --git a/tests/test_litellm/proxy/management_endpoints/test_activity_tenant_scoping.py b/tests/test_litellm/proxy/management_endpoints/test_activity_tenant_scoping.py
new file mode 100644
index 00000000000..0855c201945
--- /dev/null
+++ b/tests/test_litellm/proxy/management_endpoints/test_activity_tenant_scoping.py
@@ -0,0 +1,385 @@
+"""
+VERIA-43 regression tests:
+
+- /team/daily/activity must require admin/permission on EVERY requested
+  team for the unfiltered "full team view" path. The earlier code set a
+  global flag if the caller was admin of any one of the requested teams.
+- /agent/daily/activity must scope non-admin callers to the agents they
+  may actually see, instead of returning the entire proxy's agent rows.
+"""
+
+from unittest.mock import AsyncMock, MagicMock, patch
+
+import pytest
+
+from litellm.proxy._types import LitellmUserRoles, UserAPIKeyAuth
+
+
+# ---------------------------------------------------------------------------
+# /team/daily/activity — per-team admin/permission requirement
+# ---------------------------------------------------------------------------
+
+
+def _make_team(team_id: str, admin_user_ids: list):
+    """Build a Prisma-compatible team row. `admin_user_ids` are inserted as
+    `members_with_roles[*].role == "admin"` because that's what
+    `_is_user_team_admin` checks."""
+    members_with_roles = [{"user_id": uid, "role": "admin"} for uid in admin_user_ids]
+    row = MagicMock()
+    row.team_id = team_id
+    row.team_alias = team_id
+    row.admins = admin_user_ids
+    row.members_with_roles = members_with_roles
+    row.model_dump = MagicMock(
+        return_value={
+            "team_id": team_id,
+            "team_alias": team_id,
+            "admins": admin_user_ids,
+            "members_with_roles": members_with_roles,
+            "members": [],
+        }
+    )
+    return row
+
+
+@pytest.mark.asyncio
+async def test_team_activity_requires_admin_on_every_requested_team():
+    """If the caller is admin of one team but only a member of another in
+    the same request, the response MUST be filtered down to their own
+    keys — the previous code returned a full breakdown."""
+    from litellm.proxy.management_endpoints import team_endpoints
+
+    user = UserAPIKeyAuth(
+        user_id="alice",
+        user_role=LitellmUserRoles.INTERNAL_USER.value,
+    )
+
+    # Mock prisma client
+    prisma = MagicMock()
+    prisma.db.litellm_teamtable.find_many = AsyncMock(
+        return_value=[
+            _make_team("team-A", admin_user_ids=["alice"]),
+            _make_team("team-B", admin_user_ids=["bob"]),
+        ]
+    )
+    user_keys = MagicMock(token="alice-key-1")
+    prisma.db.litellm_verificationtoken.find_many = AsyncMock(return_value=[user_keys])
+
+    # Mock get_user_object so the non-admin branch passes
+    user_info = MagicMock()
+    user_info.teams = ["team-A", "team-B"]
+
+    captured = {}
+
+    async def _fake_get_daily_activity(**kwargs):
+        captured.update(kwargs)
+        return MagicMock()
+
+    with (
+        patch.object(team_endpoints, "prisma_client", prisma, create=True),
+        patch(
+            "litellm.proxy.management_endpoints.team_endpoints.get_user_object",
+            new=AsyncMock(return_value=user_info),
+        ),
+        patch(
+            "litellm.proxy.management_endpoints.team_endpoints.get_daily_activity",
+            new=AsyncMock(side_effect=_fake_get_daily_activity),
+        ),
+        patch("litellm.proxy.proxy_server.prisma_client", prisma),
+        patch("litellm.proxy.proxy_server.user_api_key_cache", MagicMock()),
+        patch("litellm.proxy.proxy_server.proxy_logging_obj", MagicMock()),
+    ):
+        await team_endpoints.get_team_daily_activity(
+            team_ids="team-A,team-B",
+            start_date="2026-01-01",
+            end_date="2026-01-02",
+            user_api_key_dict=user,
+        )
+
+    # Caller is only admin of team-A; team-B forces fallback to user-key
+    # filtering for the entire request.
+    assert captured["api_key"] == ["alice-key-1"]
+
+
+@pytest.mark.asyncio
+async def test_team_activity_full_view_when_admin_of_all_requested_teams():
+    """When the caller is admin of *every* team requested, no api_key
+    filter is forced — they're allowed the unfiltered breakdown."""
+    from litellm.proxy.management_endpoints import team_endpoints
+
+    user = UserAPIKeyAuth(
+        user_id="alice",
+        user_role=LitellmUserRoles.INTERNAL_USER.value,
+    )
+
+    prisma = MagicMock()
+    prisma.db.litellm_teamtable.find_many = AsyncMock(
+        return_value=[
+            _make_team("team-A", admin_user_ids=["alice"]),
+            _make_team("team-B", admin_user_ids=["alice"]),
+        ]
+    )
+
+    user_info = MagicMock()
+    user_info.teams = ["team-A", "team-B"]
+
+    captured = {}
+
+    async def _fake_get_daily_activity(**kwargs):
+        captured.update(kwargs)
+        return MagicMock()
+
+    with (
+        patch.object(team_endpoints, "prisma_client", prisma, create=True),
+        patch(
+            "litellm.proxy.management_endpoints.team_endpoints.get_user_object",
+            new=AsyncMock(return_value=user_info),
+        ),
+        patch(
+            "litellm.proxy.management_endpoints.team_endpoints.get_daily_activity",
+            new=AsyncMock(side_effect=_fake_get_daily_activity),
+        ),
+        patch("litellm.proxy.proxy_server.prisma_client", prisma),
+        patch("litellm.proxy.proxy_server.user_api_key_cache", MagicMock()),
+        patch("litellm.proxy.proxy_server.proxy_logging_obj", MagicMock()),
+    ):
+        await team_endpoints.get_team_daily_activity(
+            team_ids="team-A,team-B",
+            start_date="2026-01-01",
+            end_date="2026-01-02",
+            user_api_key_dict=user,
+        )
+
+    assert captured["api_key"] is None
+
+
+# ---------------------------------------------------------------------------
+# /agent/daily/activity — non-admin tenant scoping
+# ---------------------------------------------------------------------------
+
+
+@pytest.mark.asyncio
+async def test_agent_activity_admin_unscoped():
+    """Proxy admin: agent_ids omitted → no scoping (existing behavior)."""
+    from litellm.proxy.agent_endpoints import endpoints
+
+    admin = UserAPIKeyAuth(user_id="root", user_role=LitellmUserRoles.PROXY_ADMIN.value)
+
+    prisma = MagicMock()
+    prisma.db.litellm_agentstable.find_many = AsyncMock(return_value=[])
+
+    captured = {}
+
+    async def _fake_get_daily_activity(**kwargs):
+        captured.update(kwargs)
+        return MagicMock()
+
+    with (
+        patch.object(endpoints, "prisma_client", prisma, create=True),
+        patch("litellm.proxy.proxy_server.prisma_client", prisma),
+        patch(
+            "litellm.proxy.agent_endpoints.endpoints.check_feature_access_for_user",
+            new=AsyncMock(return_value=None),
+        ),
+        patch(
+            "litellm.proxy.agent_endpoints.endpoints.get_daily_activity",
+            new=AsyncMock(side_effect=_fake_get_daily_activity),
+        ),
+    ):
+        await endpoints.get_agent_daily_activity(
+            agent_ids=None,
+            start_date="2026-01-01",
+            end_date="2026-01-02",
+            user_api_key_dict=admin,
+        )
+
+    assert captured["entity_id"] is None  # no agent_id scoping for admin
+
+
+@pytest.mark.asyncio
+async def test_agent_activity_non_admin_no_perms_falls_back_to_owned():
+    """Non-admin without explicit agent permissions: scope to agents they
+    created. An empty `agent_ids` query must NOT return everyone's agents."""
+    from litellm.proxy.agent_endpoints import endpoints
+
+    user = UserAPIKeyAuth(
+        user_id="alice",
+        user_role=LitellmUserRoles.INTERNAL_USER.value,
+    )
+
+    owned = [MagicMock(agent_id="agent-alice-1"), MagicMock(agent_id="agent-alice-2")]
+    prisma = MagicMock()
+    # First call: lookup of owned agents (created_by=alice).
+    # Second call: agent_metadata fetch for the resolved set.
+    prisma.db.litellm_agentstable.find_many = AsyncMock(side_effect=[owned, owned])
+
+    captured = {}
+
+    async def _fake_get_daily_activity(**kwargs):
+        captured.update(kwargs)
+        return MagicMock()
+
+    with (
+        patch.object(endpoints, "prisma_client", prisma, create=True),
+        patch("litellm.proxy.proxy_server.prisma_client", prisma),
+        patch(
+            "litellm.proxy.agent_endpoints.endpoints.check_feature_access_for_user",
+            new=AsyncMock(return_value=None),
+        ),
+        patch(
+            "litellm.proxy.agent_endpoints.auth.agent_permission_handler.AgentRequestHandler.get_allowed_agents",
+            new=AsyncMock(return_value=[]),  # no explicit agent permissions
+        ),
+        patch(
+            "litellm.proxy.agent_endpoints.endpoints.get_daily_activity",
+            new=AsyncMock(side_effect=_fake_get_daily_activity),
+        ),
+    ):
+        await endpoints.get_agent_daily_activity(
+            agent_ids=None,
+            start_date="2026-01-01",
+            end_date="2026-01-02",
+            user_api_key_dict=user,
+        )
+
+    # entity_id must be the user's owned agents, not None (which would
+    # match every row).
+    assert sorted(captured["entity_id"]) == ["agent-alice-1", "agent-alice-2"]
+
+
+@pytest.mark.asyncio
+async def test_agent_activity_non_admin_intersects_explicit_agent_ids():
+    """When the caller passes `agent_ids`, the result is intersected with
+    their permitted set rather than trusting the request."""
+    from litellm.proxy.agent_endpoints import endpoints
+
+    user = UserAPIKeyAuth(
+        user_id="alice",
+        user_role=LitellmUserRoles.INTERNAL_USER.value,
+    )
+
+    prisma = MagicMock()
+    prisma.db.litellm_agentstable.find_many = AsyncMock(return_value=[])
+
+    captured = {}
+
+    async def _fake_get_daily_activity(**kwargs):
+        captured.update(kwargs)
+        return MagicMock()
+
+    with (
+        patch.object(endpoints, "prisma_client", prisma, create=True),
+        patch("litellm.proxy.proxy_server.prisma_client", prisma),
+        patch(
+            "litellm.proxy.agent_endpoints.endpoints.check_feature_access_for_user",
+            new=AsyncMock(return_value=None),
+        ),
+        patch(
+            "litellm.proxy.agent_endpoints.auth.agent_permission_handler.AgentRequestHandler.get_allowed_agents",
+            new=AsyncMock(return_value=["agent-permitted"]),
+        ),
+        patch(
+            "litellm.proxy.agent_endpoints.endpoints.get_daily_activity",
+            new=AsyncMock(side_effect=_fake_get_daily_activity),
+        ),
+    ):
+        await endpoints.get_agent_daily_activity(
+            agent_ids="agent-permitted,agent-someone-elses",
+            start_date="2026-01-01",
+            end_date="2026-01-02",
+            user_api_key_dict=user,
+        )
+
+    # Only the permitted agent survives the intersection.
+    assert captured["entity_id"] == ["agent-permitted"]
+
+
+@pytest.mark.asyncio
+async def test_agent_activity_keyless_caller_does_not_query_created_by_null():
+    """Guard against the `WHERE created_by IS NULL` pitfall: a non-admin
+    caller without a user_id (e.g. a service-account key with no
+    explicit agent allowlist) must NOT trigger a fallback DB query that
+    would expose every ownerless agent."""
+    from litellm.proxy.agent_endpoints import endpoints
+
+    user = UserAPIKeyAuth(
+        api_key="sk-svc",
+        # NOTE: no user_id
+        user_role=LitellmUserRoles.INTERNAL_USER.value,
+    )
+
+    prisma = MagicMock()
+    prisma.db.litellm_agentstable.find_many = AsyncMock(return_value=[])
+
+    fake_get_daily = AsyncMock()
+
+    with (
+        patch.object(endpoints, "prisma_client", prisma, create=True),
+        patch("litellm.proxy.proxy_server.prisma_client", prisma),
+        patch(
+            "litellm.proxy.agent_endpoints.endpoints.check_feature_access_for_user",
+            new=AsyncMock(return_value=None),
+        ),
+        patch(
+            "litellm.proxy.agent_endpoints.auth.agent_permission_handler.AgentRequestHandler.get_allowed_agents",
+            new=AsyncMock(return_value=[]),
+        ),
+        patch(
+            "litellm.proxy.agent_endpoints.endpoints.get_daily_activity",
+            new=fake_get_daily,
+        ),
+    ):
+        result = await endpoints.get_agent_daily_activity(
+            agent_ids=None,
+            start_date="2026-01-01",
+            end_date="2026-01-02",
+            user_api_key_dict=user,
+        )
+
+    # Empty page; the owned-agents fallback must NOT have been queried.
+    assert result.results == []
+    prisma.db.litellm_agentstable.find_many.assert_not_called()
+    fake_get_daily.assert_not_awaited()
+
+
+@pytest.mark.asyncio
+async def test_agent_activity_non_admin_no_access_returns_empty_page():
+    """Non-admin with no permitted agents and no owned agents must get an
+    empty paginated response without an unscoped DB query."""
+    from litellm.proxy.agent_endpoints import endpoints
+
+    user = UserAPIKeyAuth(
+        user_id="alice",
+        user_role=LitellmUserRoles.INTERNAL_USER.value,
+    )
+
+    prisma = MagicMock()
+    prisma.db.litellm_agentstable.find_many = AsyncMock(return_value=[])
+
+    fake_get_daily = AsyncMock()
+
+    with (
+        patch.object(endpoints, "prisma_client", prisma, create=True),
+        patch("litellm.proxy.proxy_server.prisma_client", prisma),
+        patch(
+            "litellm.proxy.agent_endpoints.endpoints.check_feature_access_for_user",
+            new=AsyncMock(return_value=None),
+        ),
+        patch(
+            "litellm.proxy.agent_endpoints.auth.agent_permission_handler.AgentRequestHandler.get_allowed_agents",
+            new=AsyncMock(return_value=[]),
+        ),
+        patch(
+            "litellm.proxy.agent_endpoints.endpoints.get_daily_activity",
+            new=fake_get_daily,
+        ),
+    ):
+        result = await endpoints.get_agent_daily_activity(
+            agent_ids=None,
+            start_date="2026-01-01",
+            end_date="2026-01-02",
+            user_api_key_dict=user,
+        )
+
+    assert result.results == []
+    fake_get_daily.assert_not_awaited()
diff --git a/tests/test_litellm/proxy/management_endpoints/test_cache_settings_endpoints.py b/tests/test_litellm/proxy/management_endpoints/test_cache_settings_endpoints.py
index 251827b991c..b892c4e556d 100644
--- a/tests/test_litellm/proxy/management_endpoints/test_cache_settings_endpoints.py
+++ b/tests/test_litellm/proxy/management_endpoints/test_cache_settings_endpoints.py
@@ -2,6 +2,8 @@
 Unit tests for cache settings management endpoints
 """
 
+import asyncio
+import json
 import os
 import sys
 from unittest.mock import AsyncMock, MagicMock, patch
@@ -12,12 +14,15 @@ sys.path.insert(
     0, os.path.abspath("../../../..")
 )  # Adds the parent directory to the system path
 
-from litellm.proxy._types import LitellmUserRoles
+import litellm
+from litellm.proxy._types import LitellmTableNames, LitellmUserRoles
 from litellm.proxy.auth.user_api_key_auth import UserAPIKeyAuth
 from litellm.proxy.management_endpoints.cache_settings_endpoints import (
     CacheSettingsManager,
+    CacheSettingsUpdateRequest,
     CacheTestRequest,
     test_cache_connection,
+    update_cache_settings,
 )
 
 
@@ -253,3 +258,140 @@ class TestCacheSettingsManager:
         # Verify cache was NOT initialized (params unchanged)
         mock_proxy_config._init_cache.assert_not_called()
         mock_proxy_config.switch_on_llm_response_caching.assert_not_called()
+
+
+# ── Audit-log emission for /cache/settings ────────────────────────────────────
+
+
+def _admin_auth() -> UserAPIKeyAuth:
+    return UserAPIKeyAuth(
+        api_key="hashed",
+        user_id="admin-user",
+        user_role=LitellmUserRoles.PROXY_ADMIN,
+    )
+
+
+@pytest.mark.asyncio
+async def test_update_cache_settings_emits_audit_log_when_enabled(monkeypatch):
+    """Cache config carries Redis credentials; mutation must emit an
+    audit-log row when ``store_audit_logs`` is on, with values redacted."""
+    monkeypatch.setattr(litellm, "store_audit_logs", True)
+
+    mock_prisma = MagicMock()
+    mock_prisma.db.litellm_cacheconfig.find_unique = AsyncMock(return_value=None)
+    mock_prisma.db.litellm_cacheconfig.upsert = AsyncMock()
+
+    proxy_config = MagicMock()
+    proxy_config._encrypt_env_variables = MagicMock(
+        side_effect=lambda environment_variables: dict(environment_variables)
+    )
+    proxy_config._decrypt_db_variables = MagicMock(
+        side_effect=lambda variables_dict: dict(variables_dict)
+    )
+    proxy_config._init_cache = MagicMock()
+    proxy_config.switch_on_llm_response_caching = MagicMock()
+
+    audit_calls = []
+
+    async def capture(request_data):
+        audit_calls.append(request_data)
+
+    with (
+        patch(
+            "litellm.proxy.proxy_server.prisma_client",
+            mock_prisma,
+        ),
+        patch(
+            "litellm.proxy.proxy_server.proxy_config",
+            proxy_config,
+        ),
+        patch(
+            "litellm.proxy.proxy_server.store_model_in_db",
+            True,
+        ),
+        patch("litellm.proxy.proxy_server.litellm_proxy_admin_name", "admin"),
+        patch(
+            "litellm.proxy.management_helpers.audit_logs.create_audit_log_for_update",
+            new=capture,
+        ),
+    ):
+        await update_cache_settings(
+            request=CacheSettingsUpdateRequest(
+                cache_settings={
+                    "type": "redis",
+                    "host": "redis.example.com",
+                    "password": "super-secret-redis-pw",
+                }
+            ),
+            user_api_key_dict=_admin_auth(),
+            litellm_changed_by=None,
+        )
+        # asyncio.create_task fires the coroutine eagerly; await one tick to let
+        # the audit-log emit run before the test exits.
+        for _ in range(3):
+            await asyncio.sleep(0)
+
+    assert len(audit_calls) == 1
+    log = audit_calls[0]
+    assert log.table_name == LitellmTableNames.CACHE_CONFIG_TABLE_NAME
+    assert log.object_id == "cache_config"
+    assert log.action == "created"  # no existing row → create
+
+    after = json.loads(log.updated_values)
+    # Field names are preserved so an auditor can see what changed.
+    assert set(after["settings"].keys()) == {"type", "host", "password"}
+    # Plaintext values must NOT appear in the serialized row.
+    assert "super-secret-redis-pw" not in log.updated_values
+    assert "redis.example.com" not in log.updated_values
+
+
+@pytest.mark.asyncio
+async def test_update_cache_settings_no_audit_when_disabled(monkeypatch):
+    monkeypatch.setattr(litellm, "store_audit_logs", False)
+
+    mock_prisma = MagicMock()
+    mock_prisma.db.litellm_cacheconfig.find_unique = AsyncMock(return_value=None)
+    mock_prisma.db.litellm_cacheconfig.upsert = AsyncMock()
+
+    proxy_config = MagicMock()
+    proxy_config._encrypt_env_variables = MagicMock(
+        side_effect=lambda environment_variables: dict(environment_variables)
+    )
+    proxy_config._decrypt_db_variables = MagicMock(
+        side_effect=lambda variables_dict: dict(variables_dict)
+    )
+    proxy_config._init_cache = MagicMock()
+    proxy_config.switch_on_llm_response_caching = MagicMock()
+
+    audit_calls = []
+
+    async def capture(request_data):
+        audit_calls.append(request_data)
+
+    with (
+        patch(
+            "litellm.proxy.proxy_server.prisma_client",
+            mock_prisma,
+        ),
+        patch(
+            "litellm.proxy.proxy_server.proxy_config",
+            proxy_config,
+        ),
+        patch(
+            "litellm.proxy.proxy_server.store_model_in_db",
+            True,
+        ),
+        patch(
+            "litellm.proxy.management_helpers.audit_logs.create_audit_log_for_update",
+            new=capture,
+        ),
+    ):
+        await update_cache_settings(
+            request=CacheSettingsUpdateRequest(
+                cache_settings={"type": "redis", "host": "redis.example.com"}
+            ),
+            user_api_key_dict=_admin_auth(),
+            litellm_changed_by=None,
+        )
+
+    assert audit_calls == []
diff --git a/tests/test_litellm/proxy/management_endpoints/test_config_override_endpoints.py b/tests/test_litellm/proxy/management_endpoints/test_config_override_endpoints.py
index db0b7883ea8..d90d589c504 100644
--- a/tests/test_litellm/proxy/management_endpoints/test_config_override_endpoints.py
+++ b/tests/test_litellm/proxy/management_endpoints/test_config_override_endpoints.py
@@ -1,6 +1,7 @@
+import asyncio
 import json
 import os
-from unittest.mock import AsyncMock, MagicMock
+from unittest.mock import AsyncMock, MagicMock, patch
 
 import pytest
 from fastapi.testclient import TestClient
@@ -272,3 +273,189 @@ async def test_hashicorp_vault_validation_errors_and_access_control(
         litellm.secret_manager_client = old_client
         litellm._key_management_system = old_kms
         _cleanup()
+
+
+# ── Audit-log emission for /config_overrides/hashicorp_vault ─────────────────
+
+
+class TestHashicorpVaultAuditLog:
+    """The KMS config endpoint controls every secret retrieval on the proxy.
+    A mutation (create/update/delete) must emit an audit-log row when
+    ``litellm.store_audit_logs`` is True, with credential values redacted
+    so the audit table can't itself be a credential-harvest sink."""
+
+    @pytest.mark.asyncio
+    async def test_post_emits_audit_log_with_redacted_values(self, client, monkeypatch):
+        monkeypatch.setattr(litellm, "store_audit_logs", True)
+        mock_prisma, mock_db = _make_mock_db()
+        mock_cfg = _make_mock_proxy_config()
+        monkeypatch.setattr(ps, "prisma_client", mock_prisma)
+        monkeypatch.setattr(ps, "proxy_config", mock_cfg)
+        _set_admin()
+
+        audit_calls = []
+
+        async def capture(request_data):
+            audit_calls.append(request_data)
+
+        try:
+            with patch(
+                "litellm.proxy.management_helpers.audit_logs.create_audit_log_for_update",
+                new=capture,
+            ):
+                r = client.post(
+                    VAULT_URL,
+                    json={
+                        "vault_addr": "https://vault.example.com",
+                        "vault_token": "my-very-secret-token",
+                    },
+                )
+                assert r.status_code == 200
+                for _ in range(3):
+                    await asyncio.sleep(0)
+
+            assert len(audit_calls) == 1
+            log = audit_calls[0]
+            assert log.action == "created"
+            assert log.object_id == "hashicorp_vault"
+            # Plaintext credentials must NOT appear anywhere in the row.
+            assert "my-very-secret-token" not in log.updated_values
+            assert "vault.example.com" not in log.updated_values
+            # Field names are kept so the auditor can see what changed.
+            after = json.loads(log.updated_values)
+            assert "vault_token" in after["config"]
+            assert "vault_addr" in after["config"]
+        finally:
+            _cleanup()
+
+    @pytest.mark.asyncio
+    async def test_post_action_is_updated_when_row_exists_with_null_config_value(
+        self, client, monkeypatch
+    ):
+        """A row can exist in ``litellm_configoverrides`` with a NULL
+        ``config_value`` (e.g. an earlier failed write left a stub).
+        Re-POSTing must label the audit row as ``updated`` — the row
+        already exists — not ``created``."""
+        monkeypatch.setattr(litellm, "store_audit_logs", True)
+        mock_prisma, mock_db = _make_mock_db()
+        mock_cfg = _make_mock_proxy_config()
+        monkeypatch.setattr(ps, "prisma_client", mock_prisma)
+        monkeypatch.setattr(ps, "proxy_config", mock_cfg)
+        _set_admin()
+
+        # Row exists but ``config_value`` is NULL.
+        null_record = MagicMock()
+        null_record.config_value = None
+        mock_db.find_unique = AsyncMock(return_value=null_record)
+
+        audit_calls = []
+
+        async def capture(request_data):
+            audit_calls.append(request_data)
+
+        try:
+            with patch(
+                "litellm.proxy.management_helpers.audit_logs.create_audit_log_for_update",
+                new=capture,
+            ):
+                r = client.post(
+                    VAULT_URL,
+                    json={
+                        "vault_addr": "https://vault.example.com",
+                        "vault_token": "tok",
+                    },
+                )
+                assert r.status_code == 200
+                for _ in range(3):
+                    await asyncio.sleep(0)
+
+            assert len(audit_calls) == 1
+            assert audit_calls[0].action == "updated"
+        finally:
+            _cleanup()
+
+    @pytest.mark.asyncio
+    async def test_delete_emits_audit_log_only_when_row_existed(
+        self, client, monkeypatch
+    ):
+        monkeypatch.setattr(litellm, "store_audit_logs", True)
+        mock_prisma, mock_db = _make_mock_db()
+        mock_cfg = _make_mock_proxy_config()
+        monkeypatch.setattr(ps, "prisma_client", mock_prisma)
+        monkeypatch.setattr(ps, "proxy_config", mock_cfg)
+        _set_admin()
+
+        audit_calls = []
+
+        async def capture(request_data):
+            audit_calls.append(request_data)
+
+        try:
+            with patch(
+                "litellm.proxy.management_helpers.audit_logs.create_audit_log_for_update",
+                new=capture,
+            ):
+                # Idempotent delete on an empty table → no row, no audit log.
+                mock_db.find_unique = AsyncMock(return_value=None)
+                mock_db.delete = AsyncMock(side_effect=RecordNotFoundError(MagicMock()))
+                r = client.delete(VAULT_URL)
+                assert r.status_code == 200
+                for _ in range(3):
+                    await asyncio.sleep(0)
+                assert audit_calls == []
+
+                # Delete a real row → audit log fires with action="deleted".
+                mock_db.find_unique = AsyncMock(
+                    return_value=_db_record(
+                        {
+                            "vault_addr": "enc_https://v.example.com",
+                            "vault_token": "enc_t",
+                        }
+                    )
+                )
+                mock_db.delete = AsyncMock(return_value=None)
+                r = client.delete(VAULT_URL)
+                assert r.status_code == 200
+                for _ in range(3):
+                    await asyncio.sleep(0)
+
+            assert len(audit_calls) == 1
+            log = audit_calls[0]
+            assert log.action == "deleted"
+            # The before-snapshot must redact the token before logging.
+            assert "enc_t" not in log.before_value
+            assert "v.example.com" not in log.before_value
+        finally:
+            _cleanup()
+
+    @pytest.mark.asyncio
+    async def test_no_audit_when_store_audit_logs_is_off(self, client, monkeypatch):
+        monkeypatch.setattr(litellm, "store_audit_logs", False)
+        mock_prisma, mock_db = _make_mock_db()
+        mock_cfg = _make_mock_proxy_config()
+        monkeypatch.setattr(ps, "prisma_client", mock_prisma)
+        monkeypatch.setattr(ps, "proxy_config", mock_cfg)
+        _set_admin()
+
+        audit_calls = []
+
+        async def capture(request_data):
+            audit_calls.append(request_data)
+
+        try:
+            with patch(
+                "litellm.proxy.management_helpers.audit_logs.create_audit_log_for_update",
+                new=capture,
+            ):
+                r = client.post(
+                    VAULT_URL,
+                    json={
+                        "vault_addr": "https://vault.example.com",
+                        "vault_token": "tok",
+                    },
+                )
+                assert r.status_code == 200
+
+            assert audit_calls == []
+        finally:
+            _cleanup()
diff --git a/tests/test_litellm/proxy/management_endpoints/test_mcp_management_endpoints.py b/tests/test_litellm/proxy/management_endpoints/test_mcp_management_endpoints.py
index e3437cfd8f5..21fef1703a8 100644
--- a/tests/test_litellm/proxy/management_endpoints/test_mcp_management_endpoints.py
+++ b/tests/test_litellm/proxy/management_endpoints/test_mcp_management_endpoints.py
@@ -626,14 +626,16 @@ class TestListMCPServers:
             assert "config_server_allowed" in server_ids
             assert "config_server_not_allowed" not in server_ids
 
-            # Check server details
+            # Check server details — non-admin viewers must not see the
+            # raw `url` (it can carry bearer tokens for many MCP
+            # integrations). Identity fields stay so the UI can list
+            # the server.
             for server in result:
+                assert server.url is None
                 if server.server_id == "db_server_allowed":
                     assert server.alias == "Allowed Gmail MCP"
-                    assert server.url == "https://gmail-mcp.example.com/mcp"
                 elif server.server_id == "config_server_allowed":
                     assert server.alias == "Allowed Zapier MCP"
-                    assert server.url == "https://actions.zapier.com/mcp/sse"
 
     @pytest.mark.asyncio
     async def test_admin_user_with_object_permission_respects_mcp_servers(self):
@@ -2884,3 +2886,170 @@ async def test_list_mcp_user_credentials_batch_server_fetch():
     assert result[0].alias == "My Server"
     # expires_at should always be the raw timestamp (not set to None when expired)
     assert result[0].expires_at == "2099-01-01T00:00:00+00:00"
+
+
+# ---------------------------------------------------------------------------
+# VERIA-8: non-admin viewers must not see the raw MCP server URL
+# ---------------------------------------------------------------------------
+
+
+@pytest.mark.asyncio
+async def test_list_mcp_servers_non_admin_url_redacted():
+    """A standard authenticated user (no admin role, not a restricted
+    virtual key) used to receive the raw `url` field, which can contain
+    bearer tokens like `https://actions.zapier.com/mcp/<api-key>/sse`.
+    They must now get the credential-bearing fields stripped."""
+    from litellm.proxy.management_endpoints.mcp_management_endpoints import (
+        fetch_all_mcp_servers,
+    )
+
+    user = UserAPIKeyAuth(
+        user_role=LitellmUserRoles.INTERNAL_USER,
+        user_id="alice",
+        api_key="sk-alice",
+        # NOT allowed_routes — a normal authenticated user.
+    )
+
+    server = generate_mock_mcp_server_db_record(
+        server_id="zapier-1",
+        alias="Zapier",
+        url="https://actions.zapier.com/mcp/SUPER-SECRET-TOKEN/sse",
+    )
+    server.static_headers = {"Authorization": "Bearer SUPER-SECRET-TOKEN"}
+    server.env = {"API_KEY": "another-secret"}
+    server.extra_headers = ["Authorization"]
+    server.command = "npx"
+    server.args = ["-y", "@sensitive/mcp"]
+    server.authorization_url = "https://oauth.example.com/authorize?token=foo"
+    server.token_url = "https://oauth.example.com/token"
+    server.registration_url = "https://oauth.example.com/register"
+
+    mock_manager = MagicMock()
+    mock_manager.get_all_mcp_servers_unfiltered = AsyncMock(return_value=[server])
+    mock_manager.get_all_allowed_mcp_servers = AsyncMock(return_value=[server])
+
+    with (
+        patch(
+            "litellm.proxy.management_endpoints.mcp_management_endpoints._get_user_mcp_management_mode",
+            return_value="view_all",
+        ),
+        patch(
+            "litellm.proxy.management_endpoints.mcp_management_endpoints.global_mcp_server_manager",
+            mock_manager,
+        ),
+        patch(
+            "litellm.proxy.management_endpoints.mcp_management_endpoints.get_prisma_client_or_throw",
+            return_value=MagicMock(),
+        ),
+        patch(
+            "litellm.proxy.management_endpoints.mcp_management_endpoints.build_effective_auth_contexts",
+            AsyncMock(return_value=[user]),
+        ),
+    ):
+        result = await fetch_all_mcp_servers(user_api_key_dict=user)
+
+    assert len(result) == 1
+    s = result[0]
+    # Identity fields stay so the UI can list the server.
+    assert s.server_id == "zapier-1"
+    assert s.alias == "Zapier"
+    # Credential-bearing fields must all be cleared.
+    assert s.url is None
+    assert s.static_headers is None
+    assert s.env == {}
+    assert s.extra_headers == []
+    assert s.command is None
+    assert s.args == []
+    assert s.authorization_url is None
+    assert s.token_url is None
+    assert s.registration_url is None
+
+
+@pytest.mark.asyncio
+async def test_list_mcp_servers_admin_keeps_url():
+    """Proxy admins must continue to see the raw URL — the redaction
+    only applies to non-admin viewers."""
+    from litellm.proxy.management_endpoints.mcp_management_endpoints import (
+        fetch_all_mcp_servers,
+    )
+
+    admin = UserAPIKeyAuth(
+        user_role=LitellmUserRoles.PROXY_ADMIN,
+        user_id="root",
+        api_key="sk-admin",
+    )
+
+    server = generate_mock_mcp_server_db_record(
+        server_id="zapier-1",
+        alias="Zapier",
+        url="https://actions.zapier.com/mcp/SUPER-SECRET-TOKEN/sse",
+    )
+    server.static_headers = {"Authorization": "Bearer SUPER-SECRET-TOKEN"}
+
+    mock_manager = MagicMock()
+    mock_manager.get_all_mcp_servers_unfiltered = AsyncMock(return_value=[server])
+    mock_manager.get_all_allowed_mcp_servers = AsyncMock(return_value=[server])
+
+    with (
+        patch(
+            "litellm.proxy.management_endpoints.mcp_management_endpoints._get_user_mcp_management_mode",
+            return_value="view_all",
+        ),
+        patch(
+            "litellm.proxy.management_endpoints.mcp_management_endpoints.global_mcp_server_manager",
+            mock_manager,
+        ),
+        patch(
+            "litellm.proxy.management_endpoints.mcp_management_endpoints.get_prisma_client_or_throw",
+            return_value=MagicMock(),
+        ),
+        patch(
+            "litellm.proxy.management_endpoints.mcp_management_endpoints.build_effective_auth_contexts",
+            AsyncMock(return_value=[admin]),
+        ),
+    ):
+        result = await fetch_all_mcp_servers(user_api_key_dict=admin)
+
+    assert len(result) == 1
+    assert result[0].url == "https://actions.zapier.com/mcp/SUPER-SECRET-TOKEN/sse"
+    assert result[0].static_headers == {"Authorization": "Bearer SUPER-SECRET-TOKEN"}
+
+
+def test_sanitize_mcp_server_for_non_admin_clears_credential_fields():
+    """Direct unit test on the helper for fast feedback."""
+    from litellm.proxy.management_endpoints.mcp_management_endpoints import (
+        _sanitize_mcp_server_for_non_admin,
+    )
+
+    server = generate_mock_mcp_server_db_record(
+        url="https://example.com/mcp/SUPER-SECRET/sse",
+    )
+    server.credentials = {"auth_value": "secret"}
+    server.static_headers = {"Authorization": "Bearer x"}
+    server.spec_path = "https://example.com/specs/openapi-with-token.yaml"
+    server.env = {"API_KEY": "y"}
+    server.extra_headers = ["Authorization"]
+    server.command = "python"
+    server.args = ["server.py", "--token", "secret"]
+    server.authorization_url = "https://idp/authorize"
+    server.token_url = "https://idp/token"
+    server.registration_url = "https://idp/register"
+
+    sanitized = _sanitize_mcp_server_for_non_admin(server)
+
+    assert sanitized.credentials is None
+    assert sanitized.url is None
+    assert sanitized.spec_path is None
+    assert sanitized.static_headers is None
+    assert sanitized.env == {}
+    assert sanitized.extra_headers == []
+    assert sanitized.command is None
+    assert sanitized.args == []
+    assert sanitized.authorization_url is None
+    assert sanitized.token_url is None
+    assert sanitized.registration_url is None
+
+    # Identity / metadata fields are preserved so the UI can list the
+    # server without exposing secrets.
+    assert sanitized.server_id == server.server_id
+    assert sanitized.alias == server.alias
diff --git a/tests/test_litellm/proxy/management_endpoints/test_organization_endpoints.py b/tests/test_litellm/proxy/management_endpoints/test_organization_endpoints.py
index 4501cc76636..f4470e7e83d 100644
--- a/tests/test_litellm/proxy/management_endpoints/test_organization_endpoints.py
+++ b/tests/test_litellm/proxy/management_endpoints/test_organization_endpoints.py
@@ -565,3 +565,133 @@ async def test_organization_info_includes_user_email(monkeypatch):
 
     membership = LiteLLM_OrganizationMembershipTable(**raw_membership)
     assert membership.user_email == "alice@example.com"
+
+
+# Regression tests for IDOR fixes on org-scoped endpoints. Sibling cluster
+# to GHSA-xxv2-fprq-9x93 (team callback IDOR): the same shape of "any
+# authenticated key holder reaches an endpoint that takes an
+# organization_id from the request body without an access guard." The
+# fix routes ``update_organization``, ``organization_member_add``,
+# ``organization_member_update``, and ``organization_member_delete``
+# through the existing ``_verify_org_access`` helper.
+
+
+@pytest.fixture
+def unauthorized_caller():
+    from litellm.proxy._types import LitellmUserRoles, UserAPIKeyAuth
+
+    return UserAPIKeyAuth(
+        user_role=LitellmUserRoles.INTERNAL_USER,
+        user_id="random_authenticated_user",
+        api_key="sk-random",
+    )
+
+
+@pytest.fixture
+def patched_org_prisma():
+    """Mock prisma so that find_unique returns a victim org and
+    get_user_object reports the caller has no org membership — so
+    _verify_org_access raises 403."""
+    victim_row = MagicMock()
+    victim_row.organization_id = "org-victim"
+    victim_row.metadata = {}
+    victim_row.model_dump.return_value = {"organization_id": "org-victim"}
+
+    caller_user = MagicMock()
+    caller_user.organization_memberships = []  # no admin role anywhere
+
+    with (
+        patch("litellm.proxy.proxy_server.prisma_client") as mock_prisma,
+        patch(
+            "litellm.proxy.management_endpoints.organization_endpoints.get_user_object",
+            new_callable=AsyncMock,
+            return_value=caller_user,
+        ),
+        patch(
+            "litellm.proxy.proxy_server.user_api_key_cache",
+        ),
+        patch("litellm.proxy.proxy_server.proxy_logging_obj"),
+    ):
+        mock_prisma.db.litellm_organizationtable.find_unique = AsyncMock(
+            return_value=victim_row
+        )
+        yield mock_prisma
+
+
+@pytest.mark.asyncio
+async def test_organization_member_add_rejects_unauthorized_caller(
+    patched_org_prisma, unauthorized_caller
+):
+    # ``organization_member_add`` catches HTTPException in its
+    # catch-all and re-wraps as ProxyException with the original status
+    # code preserved.
+    from litellm.proxy._types import (
+        OrganizationMemberAddRequest,
+        OrgMember,
+        ProxyException,
+    )
+    from litellm.proxy.management_endpoints.organization_endpoints import (
+        organization_member_add,
+    )
+    from unittest.mock import Mock
+
+    from fastapi import Request
+
+    data = OrganizationMemberAddRequest(
+        organization_id="org-victim",
+        member=OrgMember(role="internal_user", user_id="attacker-user"),
+    )
+
+    with pytest.raises((HTTPException, ProxyException)) as exc:
+        await organization_member_add(
+            data=data,
+            http_request=Mock(spec=Request),
+            user_api_key_dict=unauthorized_caller,
+        )
+    code = getattr(exc.value, "status_code", None) or getattr(exc.value, "code", None)
+    assert int(code) == 403
+
+
+@pytest.mark.asyncio
+async def test_organization_member_update_rejects_unauthorized_caller(
+    patched_org_prisma, unauthorized_caller
+):
+    from litellm.proxy._types import OrganizationMemberUpdateRequest
+    from litellm.proxy.management_endpoints.organization_endpoints import (
+        organization_member_update,
+    )
+
+    data = OrganizationMemberUpdateRequest(
+        organization_id="org-victim",
+        user_id="some-other-user",
+        role="org_admin",
+    )
+
+    with pytest.raises(HTTPException) as exc:
+        await organization_member_update(
+            data=data,
+            user_api_key_dict=unauthorized_caller,
+        )
+    assert exc.value.status_code == 403
+
+
+@pytest.mark.asyncio
+async def test_organization_member_delete_rejects_unauthorized_caller(
+    patched_org_prisma, unauthorized_caller
+):
+    from litellm.proxy._types import OrganizationMemberDeleteRequest
+    from litellm.proxy.management_endpoints.organization_endpoints import (
+        organization_member_delete,
+    )
+
+    data = OrganizationMemberDeleteRequest(
+        organization_id="org-victim",
+        user_id="some-other-user",
+    )
+
+    with pytest.raises(HTTPException) as exc:
+        await organization_member_delete(
+            data=data,
+            user_api_key_dict=unauthorized_caller,
+        )
+    assert exc.value.status_code == 403
diff --git a/tests/test_litellm/proxy/management_endpoints/test_router_settings_endpoints.py b/tests/test_litellm/proxy/management_endpoints/test_router_settings_endpoints.py
index fdb8a0c0c5a..b62f077a62e 100644
--- a/tests/test_litellm/proxy/management_endpoints/test_router_settings_endpoints.py
+++ b/tests/test_litellm/proxy/management_endpoints/test_router_settings_endpoints.py
@@ -13,7 +13,13 @@ from fastapi.testclient import TestClient
 
 sys.path.insert(0, os.path.abspath("../../../.."))
 
+from litellm.proxy import proxy_server
+from litellm.proxy._types import LitellmUserRoles, UserAPIKeyAuth
+from litellm.proxy.management_endpoints.router_settings_endpoints import (
+    get_router_settings,
+)
 from litellm.proxy.proxy_server import app
+from litellm.router import Router
 
 client = TestClient(app)
 
@@ -71,3 +77,48 @@ class TestRouterSettingsEndpoints:
         assert "options" in routing_strategy_field
         assert isinstance(routing_strategy_field["options"], list)
         assert len(routing_strategy_field["options"]) > 0
+
+    @pytest.mark.asyncio
+    async def test_get_router_settings_includes_routing_groups_from_live_router(
+        self, monkeypatch
+    ):
+        """GET /router/settings returns routing_groups from the live router."""
+        groups = [
+            {
+                "group_name": "test-group",
+                "models": ["latency-model"],
+                "routing_strategy": "latency-based-routing",
+                "routing_strategy_args": {},
+            }
+        ]
+        llm_router = Router(
+            model_list=[
+                {
+                    "model_name": "latency-model",
+                    "litellm_params": {
+                        "model": "openai/gpt-4o",
+                        "api_key": "sk-x",
+                    },
+                }
+            ],
+            routing_groups=groups,
+        )
+
+        monkeypatch.setattr(proxy_server, "llm_router", llm_router)
+
+        async def fake_get_config(self, config_file_path=None):
+            return {}
+
+        monkeypatch.setattr(
+            proxy_server.ProxyConfig, "get_config", fake_get_config, raising=True
+        )
+
+        admin_user = UserAPIKeyAuth(
+            user_role=LitellmUserRoles.PROXY_ADMIN, api_key="sk-x"
+        )
+        response = await get_router_settings(user_api_key_dict=admin_user)
+
+        assert response.current_values.get("routing_groups") == groups
+
+        rg_field = next(f for f in response.fields if f.field_name == "routing_groups")
+        assert rg_field.field_value == groups
diff --git a/tests/test_litellm/proxy/management_endpoints/test_team_callback_endpoints.py b/tests/test_litellm/proxy/management_endpoints/test_team_callback_endpoints.py
index 6c4d1be7831..55afd4061d8 100644
--- a/tests/test_litellm/proxy/management_endpoints/test_team_callback_endpoints.py
+++ b/tests/test_litellm/proxy/management_endpoints/test_team_callback_endpoints.py
@@ -1,71 +1,205 @@
 """
-Audit-log emission for the team-callback admin endpoints.
+Regression tests for team callback endpoint access control and audit logging.
 
-The endpoints in ``team_callback_endpoints.py`` mutate a team's logging
-callbacks (``add_team_callbacks``) or zero them out entirely
-(``disable_team_logging``).  Both are admin-only mutations, and the
-disable variant is itself a logging-control action, so when the operator
-has Enterprise audit logging enabled (``litellm.store_audit_logs = True``)
-each call must emit a row that captures who did it and what the metadata
-looked like before/after.
+The team callback endpoints mutate or expose callback credentials. They must
+enforce target-team management access and, when audit logging is enabled, emit
+redacted audit rows for callback mutations.
 """
 
 import json
-from unittest.mock import AsyncMock, MagicMock, patch
+from unittest.mock import AsyncMock, MagicMock, Mock, patch
 
 import pytest
-from fastapi import Request
+from fastapi import HTTPException, Request
 
 import litellm
 from litellm.proxy._types import (
     AddTeamCallback,
     LitellmTableNames,
+    LitellmUserRoles,
     UserAPIKeyAuth,
 )
 from litellm.proxy.management_endpoints.team_callback_endpoints import (
     add_team_callbacks,
     disable_team_logging,
+    get_team_callbacks,
 )
 
 
+def _team_row(
+    *,
+    team_id: str = "team-victim",
+    metadata: dict | None = None,
+    admin_user_id: str = "victim_admin",
+    organization_id: str = "org-victim",
+) -> MagicMock:
+    row = MagicMock()
+    row.team_id = team_id
+    row.metadata = metadata or {}
+    row.model_dump.return_value = {
+        "team_id": team_id,
+        "team_alias": "victim-team",
+        "members_with_roles": [
+            {"role": "admin", "user_id": admin_user_id},
+        ],
+        "organization_id": organization_id,
+        "metadata": row.metadata,
+    }
+    return row
+
+
+def _patch_prisma(existing_team: MagicMock):
+    mock_prisma = MagicMock()
+    mock_prisma.get_data = AsyncMock(return_value=existing_team)
+
+    updated_row = MagicMock()
+    updated_row.team_id = existing_team.team_id
+    mock_prisma.db.litellm_teamtable.update = AsyncMock(return_value=updated_row)
+    return mock_prisma
+
+
 def _admin_auth() -> UserAPIKeyAuth:
     return UserAPIKeyAuth(
         api_key="hashed",
         user_id="admin-user",
-        user_role="proxy_admin",
+        user_role=LitellmUserRoles.PROXY_ADMIN,
     )
 
 
-def _existing_team_row(metadata: dict) -> MagicMock:
-    row = MagicMock()
-    row.team_id = "team-1"
-    row.metadata = metadata
-    return row
+@pytest.fixture
+def unauthorized_caller():
+    return UserAPIKeyAuth(
+        user_role=LitellmUserRoles.INTERNAL_USER,
+        user_id="random_authenticated_user",
+        api_key="sk-random",
+    )
 
 
-def _patch_prisma(existing_metadata: dict):
-    """Build a context-manager that patches the proxy's ``prisma_client``
-    to return ``existing_metadata`` from ``get_data`` and a stub team row
-    from ``litellm_teamtable.update``."""
-    mock_prisma = MagicMock()
-    mock_prisma.get_data = AsyncMock(return_value=_existing_team_row(existing_metadata))
+@pytest.fixture
+def patched_prisma():
+    with (
+        patch("litellm.proxy.proxy_server.prisma_client") as mock_client,
+        patch(
+            "litellm.proxy.management_endpoints.team_endpoints._is_user_org_admin_for_team",
+            new_callable=AsyncMock,
+            return_value=False,
+        ),
+    ):
+        mock_client.get_data = AsyncMock(return_value=_team_row())
+        mock_client.db.litellm_teamtable.update = AsyncMock()
+        yield mock_client
 
-    updated_row = MagicMock()
-    updated_row.team_id = "team-1"
-    mock_prisma.db.litellm_teamtable.update = AsyncMock(return_value=updated_row)
-    return mock_prisma
+
+@pytest.mark.asyncio
+async def test_add_team_callbacks_rejects_unauthorized_caller(
+    patched_prisma, unauthorized_caller
+):
+    data = AddTeamCallback(
+        callback_name="langfuse",
+        callback_type="success",
+        callback_vars={
+            "langfuse_public_key": "pk-attacker",
+            "langfuse_secret_key": "sk-attacker",
+        },
+    )
+    with pytest.raises(HTTPException) as exc:
+        await add_team_callbacks(
+            data=data,
+            http_request=Mock(spec=Request),
+            team_id="team-victim",
+            user_api_key_dict=unauthorized_caller,
+        )
+    assert exc.value.status_code == 403
+    patched_prisma.db.litellm_teamtable.update.assert_not_called()
+
+
+@pytest.mark.asyncio
+async def test_disable_team_logging_rejects_unauthorized_caller(
+    patched_prisma, unauthorized_caller
+):
+    with pytest.raises(HTTPException) as exc:
+        await disable_team_logging(
+            http_request=Mock(spec=Request),
+            team_id="team-victim",
+            user_api_key_dict=unauthorized_caller,
+        )
+    assert exc.value.status_code == 403
+    patched_prisma.db.litellm_teamtable.update.assert_not_called()
+
+
+@pytest.mark.asyncio
+async def test_get_team_callbacks_rejects_unauthorized_caller(
+    patched_prisma, unauthorized_caller
+):
+    with pytest.raises(HTTPException) as exc:
+        await get_team_callbacks(
+            http_request=Mock(spec=Request),
+            team_id="team-victim",
+            user_api_key_dict=unauthorized_caller,
+        )
+    assert exc.value.status_code == 403
+
+
+@pytest.mark.asyncio
+async def test_proxy_admin_can_add_team_callbacks(patched_prisma):
+    data = AddTeamCallback(
+        callback_name="langfuse",
+        callback_type="success",
+        callback_vars={
+            "langfuse_public_key": "pk-admin",
+            "langfuse_secret_key": "sk-admin",
+        },
+    )
+    await add_team_callbacks(
+        data=data,
+        http_request=Mock(spec=Request),
+        team_id="team-victim",
+        user_api_key_dict=_admin_auth(),
+    )
+    patched_prisma.db.litellm_teamtable.update.assert_awaited_once()
+
+
+@pytest.mark.asyncio
+async def test_team_admin_of_target_team_can_add_callbacks(patched_prisma):
+    patched_prisma.get_data = AsyncMock(
+        return_value=_team_row(admin_user_id="team_admin_user")
+    )
+
+    team_admin = UserAPIKeyAuth(
+        user_role=LitellmUserRoles.INTERNAL_USER,
+        user_id="team_admin_user",
+        api_key="sk-team-admin",
+    )
+    data = AddTeamCallback(
+        callback_name="langfuse",
+        callback_type="success",
+        callback_vars={
+            "langfuse_public_key": "pk-team",
+            "langfuse_secret_key": "sk-team",
+        },
+    )
+    await add_team_callbacks(
+        data=data,
+        http_request=Mock(spec=Request),
+        team_id="team-victim",
+        user_api_key_dict=team_admin,
+    )
+    patched_prisma.db.litellm_teamtable.update.assert_awaited_once()
 
 
 @pytest.mark.asyncio
 async def test_disable_team_logging_emits_audit_log_when_enabled(monkeypatch):
     monkeypatch.setattr(litellm, "store_audit_logs", True)
     mock_prisma = _patch_prisma(
-        {
-            "callback_settings": {
-                "success_callback": ["langfuse"],
-                "failure_callback": [],
-            }
-        }
+        _team_row(
+            team_id="team-1",
+            metadata={
+                "callback_settings": {
+                    "success_callback": ["langfuse"],
+                    "failure_callback": [],
+                }
+            },
+        )
     )
 
     audit_calls = []
@@ -87,8 +221,6 @@ async def test_disable_team_logging_emits_audit_log_when_enabled(monkeypatch):
             user_api_key_dict=_admin_auth(),
             litellm_changed_by=None,
         )
-        # asyncio.create_task fires the coroutine eagerly; await one tick to let
-        # the audit-log emit run before the test exits.
         import asyncio
 
         for _ in range(3):
@@ -103,9 +235,7 @@ async def test_disable_team_logging_emits_audit_log_when_enabled(monkeypatch):
 
     before = json.loads(log.before_value)
     after = json.loads(log.updated_values)
-    # Before: the team's pre-existing success_callback survives in the snapshot.
     assert before["metadata"]["callback_settings"]["success_callback"] == ["langfuse"]
-    # After: callbacks zeroed out by the endpoint.
     assert after["metadata"]["callback_settings"]["success_callback"] == []
     assert after["metadata"]["callback_settings"]["failure_callback"] == []
 
@@ -114,12 +244,15 @@ async def test_disable_team_logging_emits_audit_log_when_enabled(monkeypatch):
 async def test_disable_team_logging_no_audit_when_disabled(monkeypatch):
     monkeypatch.setattr(litellm, "store_audit_logs", False)
     mock_prisma = _patch_prisma(
-        {
-            "callback_settings": {
-                "success_callback": ["langfuse"],
-                "failure_callback": [],
-            }
-        }
+        _team_row(
+            team_id="team-1",
+            metadata={
+                "callback_settings": {
+                    "success_callback": ["langfuse"],
+                    "failure_callback": [],
+                }
+            },
+        )
     )
 
     audit_calls = []
@@ -147,7 +280,7 @@ async def test_disable_team_logging_no_audit_when_disabled(monkeypatch):
 @pytest.mark.asyncio
 async def test_add_team_callbacks_emits_audit_log_when_enabled(monkeypatch):
     monkeypatch.setattr(litellm, "store_audit_logs", True)
-    mock_prisma = _patch_prisma({"logging": []})
+    mock_prisma = _patch_prisma(_team_row(team_id="team-1", metadata={"logging": []}))
 
     audit_calls = []
 
@@ -186,7 +319,6 @@ async def test_add_team_callbacks_emits_audit_log_when_enabled(monkeypatch):
     assert log.table_name == LitellmTableNames.TEAM_TABLE_NAME
     assert log.object_id == "team-1"
     assert log.action == "updated"
-    # ``litellm_changed_by`` header takes precedence over the auth user_id.
     assert log.changed_by == "ops-on-call"
 
     before = json.loads(log.before_value)
@@ -195,34 +327,32 @@ async def test_add_team_callbacks_emits_audit_log_when_enabled(monkeypatch):
     assert len(after["metadata"]["logging"]) == 1
     assert after["metadata"]["logging"][0]["callback_name"] == "langfuse"
 
-    # Callback secrets MUST NOT leak into the audit log payload.
     callback_vars = after["metadata"]["logging"][0]["callback_vars"]
     assert callback_vars["langfuse_public_key"] != "pk"
     assert callback_vars["langfuse_secret_key"] != "sk"
-    # Key names are preserved so the auditor can see which fields changed.
     assert "langfuse_public_key" in callback_vars
     assert "langfuse_secret_key" in callback_vars
-    # And no plaintext secret should appear anywhere in the serialized row.
-    assert "sk" not in log.updated_values.replace("sk-", "")  # crude leak check
+    assert "sk" not in log.updated_values.replace("sk-", "")
     assert "pk" not in (log.updated_values.replace("pk-", "").replace("public_key", ""))
 
 
 @pytest.mark.asyncio
 async def test_disable_team_logging_redacts_existing_callback_secrets(monkeypatch):
     monkeypatch.setattr(litellm, "store_audit_logs", True)
-    # Existing team has populated callback_vars containing secrets — redaction
-    # must apply to the BEFORE snapshot too.
     mock_prisma = _patch_prisma(
-        {
-            "callback_settings": {
-                "success_callback": ["langfuse"],
-                "failure_callback": [],
-                "callback_vars": {
-                    "langfuse_public_key": "pk-real",
-                    "langfuse_secret_key": "sk-real-secret",
-                },
-            }
-        }
+        _team_row(
+            team_id="team-1",
+            metadata={
+                "callback_settings": {
+                    "success_callback": ["langfuse"],
+                    "failure_callback": [],
+                    "callback_vars": {
+                        "langfuse_public_key": "pk-real",
+                        "langfuse_secret_key": "sk-real-secret",
+                    },
+                }
+            },
+        )
     )
 
     audit_calls = []
@@ -251,8 +381,6 @@ async def test_disable_team_logging_redacts_existing_callback_secrets(monkeypatc
 
     assert len(audit_calls) == 1
     log = audit_calls[0]
-    # The pre-existing secret_key value must NOT appear in the serialized
-    # before_value or updated_values.
     assert "sk-real-secret" not in log.before_value
     assert "sk-real-secret" not in log.updated_values
     assert "pk-real" not in log.before_value
@@ -262,7 +390,7 @@ async def test_disable_team_logging_redacts_existing_callback_secrets(monkeypatc
 @pytest.mark.asyncio
 async def test_add_team_callbacks_no_audit_when_disabled(monkeypatch):
     monkeypatch.setattr(litellm, "store_audit_logs", False)
-    mock_prisma = _patch_prisma({"logging": []})
+    mock_prisma = _patch_prisma(_team_row(team_id="team-1", metadata={"logging": []}))
 
     audit_calls = []
 
diff --git a/tests/test_litellm/proxy/middleware/test_prometheus_auth_middleware.py b/tests/test_litellm/proxy/middleware/test_prometheus_auth_middleware.py
index 310ee11573b..6cab5baee9a 100644
--- a/tests/test_litellm/proxy/middleware/test_prometheus_auth_middleware.py
+++ b/tests/test_litellm/proxy/middleware/test_prometheus_auth_middleware.py
@@ -1,18 +1,5 @@
-import json
-import os
-import sys
-
-import pytest
-from fastapi.testclient import TestClient
-
-sys.path.insert(
-    0, os.path.abspath("../../..")
-)  # Adds the parent directory to the system path
-
-
 import pytest
 from fastapi import FastAPI
-from fastapi.responses import JSONResponse
 from fastapi.testclient import TestClient
 
 import litellm
@@ -21,7 +8,7 @@ from litellm.proxy.middleware.prometheus_auth_middleware import PrometheusAuthMi
 
 
 # Fake auth functions to simulate valid and invalid auth behavior.
-async def fake_valid_auth(request, api_key):
+async def fake_valid_auth(request, api_key, **kwargs):
     # Simulate valid authentication: do nothing (i.e. pass)
     return
 
@@ -35,15 +22,11 @@ async def fake_valid_auth_reads_body(request, api_key, **kwargs):
     return
 
 
-async def fake_invalid_auth(request, api_key):
-    print("running fake invalid auth", request, api_key)
+async def fake_invalid_auth(request, api_key, **kwargs):
     # Simulate invalid auth by raising an exception.
     raise Exception("Invalid API key")
 
 
-from litellm.proxy.auth.user_api_key_auth import user_api_key_auth
-
-
 @pytest.fixture
 def app_with_middleware():
     """Create a FastAPI app with the PrometheusAuthMiddleware and dummy endpoints."""
@@ -98,7 +81,7 @@ def test_valid_auth_metrics(app_with_middleware, monkeypatch):
     Test that a request to /metrics (and /metrics/) with valid auth headers passes.
     """
     # Enable auth on metrics endpoints.
-    litellm.require_auth_for_metrics_endpoint = True
+    monkeypatch.setattr(litellm, "require_auth_for_metrics_endpoint", True)
     # Patch the auth function to simulate a valid authentication.
     monkeypatch.setattr(
         "litellm.proxy.middleware.prometheus_auth_middleware.user_api_key_auth",
@@ -123,7 +106,7 @@ def test_invalid_auth_metrics(app_with_middleware, monkeypatch):
     """
     Test that a request to /metrics with invalid auth headers fails with a 401.
     """
-    litellm.require_auth_for_metrics_endpoint = True
+    monkeypatch.setattr(litellm, "require_auth_for_metrics_endpoint", True)
     # Patch the auth function to simulate a failed authentication.
     monkeypatch.setattr(
         "litellm.proxy.middleware.prometheus_auth_middleware.user_api_key_auth",
@@ -138,12 +121,48 @@ def test_invalid_auth_metrics(app_with_middleware, monkeypatch):
     assert "Unauthorized access to metrics endpoint" in response.text
 
 
+def test_metrics_auth_uses_real_auth_when_route_is_public(
+    app_with_middleware, monkeypatch
+):
+    """
+    Regression: /metrics is statically public, but require_auth_for_metrics_endpoint
+    must still force the real auth path.
+    """
+    monkeypatch.setattr(litellm, "require_auth_for_metrics_endpoint", True)
+    monkeypatch.setattr("litellm.proxy.proxy_server.master_key", "sk-master")
+    monkeypatch.setattr("litellm.proxy.proxy_server.general_settings", {})
+
+    client = TestClient(app_with_middleware)
+
+    response = client.get("/metrics")
+
+    assert response.status_code == 401, response.text
+    assert "Unauthorized access to metrics endpoint" in response.text
+
+
+def test_metrics_auth_is_required_by_default(app_with_middleware, monkeypatch):
+    """
+    Metrics should require auth unless explicitly configured as public.
+    """
+    monkeypatch.setattr(
+        "litellm.proxy.middleware.prometheus_auth_middleware.user_api_key_auth",
+        fake_invalid_auth,
+    )
+
+    client = TestClient(app_with_middleware)
+
+    response = client.get("/metrics")
+
+    assert response.status_code == 401, response.text
+    assert "Unauthorized access to metrics endpoint" in response.text
+
+
 def test_no_auth_metrics_when_disabled(app_with_middleware, monkeypatch):
     """
     Test that when require_auth_for_metrics_endpoint is False, requests to /metrics
     bypass the auth check.
     """
-    litellm.require_auth_for_metrics_endpoint = False
+    monkeypatch.setattr(litellm, "require_auth_for_metrics_endpoint", False)
 
     # To ensure auth is not run, patch the auth function with one that will raise if called.
     def should_not_be_called(*args, **kwargs):
@@ -160,11 +179,11 @@ def test_no_auth_metrics_when_disabled(app_with_middleware, monkeypatch):
     assert response.json() == {"msg": "metrics OK"}
 
 
-def test_non_metrics_requests_pass_through(app_with_middleware):
+def test_non_metrics_requests_pass_through(app_with_middleware, monkeypatch):
     """
     Test that non-metrics endpoints pass through the middleware unaffected.
     """
-    litellm.require_auth_for_metrics_endpoint = True
+    monkeypatch.setattr(litellm, "require_auth_for_metrics_endpoint", True)
 
     client = TestClient(app_with_middleware)
 
@@ -182,7 +201,7 @@ def test_non_metrics_requests_dont_trigger_auth(app_with_middleware, monkeypatch
     Test that non-metrics requests never trigger auth, even when auth is enabled
     and the auth function would reject the request.
     """
-    litellm.require_auth_for_metrics_endpoint = True
+    monkeypatch.setattr(litellm, "require_auth_for_metrics_endpoint", True)
 
     def should_not_be_called(*args, **kwargs):
         raise Exception("Auth should not be called for non-metrics requests")
diff --git a/tests/test_litellm/proxy/public_endpoints/test_public_endpoints.py b/tests/test_litellm/proxy/public_endpoints/test_public_endpoints.py
index a65462d3f9b..f82da59899b 100644
--- a/tests/test_litellm/proxy/public_endpoints/test_public_endpoints.py
+++ b/tests/test_litellm/proxy/public_endpoints/test_public_endpoints.py
@@ -91,6 +91,19 @@ def test_get_litellm_model_cost_map_returns_cost_map():
     )
 
 
+def test_public_ai_hub_info_is_public_by_default(monkeypatch):
+    app = FastAPI()
+    app.include_router(router)
+    client = TestClient(app)
+
+    monkeypatch.setattr("litellm.proxy.proxy_server.general_settings", {})
+    monkeypatch.setattr("litellm.proxy.proxy_server.master_key", "sk-master")
+
+    response = client.get("/public/model_hub/info")
+
+    assert response.status_code == 200, response.text
+
+
 def test_watsonx_provider_fields():
     """Test that Watsonx provider has all required credential fields including multiple auth options."""
     app = FastAPI()
@@ -166,9 +179,9 @@ def test_anthropic_provider_fields_support_byok():
         "Anthropic api_key must be optional so admins can configure BYOK models "
         "without entering a key. See BYOK tutorial."
     )
-    assert fields_by_key["api_key"].get("tooltip"), (
-        "Anthropic api_key must have a tooltip explaining the BYOK use case."
-    )
+    assert fields_by_key["api_key"].get(
+        "tooltip"
+    ), "Anthropic api_key must have a tooltip explaining the BYOK use case."
     assert "api_base" in fields_by_key, (
         "Anthropic provider form must expose api_base so cloud customers "
         "can override the upstream URL without env var access."
@@ -176,16 +189,16 @@ def test_anthropic_provider_fields_support_byok():
     api_base_field = fields_by_key["api_base"]
     assert api_base_field["required"] is False
     assert api_base_field["field_type"] == "text"
-    assert api_base_field.get("tooltip"), (
-        "api_base should have a tooltip explaining it is optional."
-    )
+    assert api_base_field.get(
+        "tooltip"
+    ), "api_base should have a tooltip explaining it is optional."
 
     # UI forms render fields in credential_fields order; api_base should come first
     # so an admin sees the URL override before the key field.
     field_order = [f["key"] for f in anthropic["credential_fields"]]
-    assert field_order.index("api_base") < field_order.index("api_key"), (
-        "api_base must appear before api_key in credential_fields (matches AI21 and ANTHROPIC_TEXT convention)."
-    )
+    assert field_order.index("api_base") < field_order.index(
+        "api_key"
+    ), "api_base must appear before api_key in credential_fields (matches AI21 and ANTHROPIC_TEXT convention)."
 
 
 def test_public_model_hub_with_healthy_model():
diff --git a/tests/test_litellm/proxy/spend_tracking/test_spend_log_error_logger.py b/tests/test_litellm/proxy/spend_tracking/test_spend_log_error_logger.py
new file mode 100644
index 00000000000..50d58c5849c
--- /dev/null
+++ b/tests/test_litellm/proxy/spend_tracking/test_spend_log_error_logger.py
@@ -0,0 +1,139 @@
+"""
+Unit tests for ``litellm.proxy.spend_tracking.spend_log_error_logger``.
+
+The helper exists to let proxy operators silence the multi-line stack traces
+that the spend-tracking machinery normally emits on 4xx/5xx and DB errors.
+These tests cover:
+
+  * the env-var gating behavior (opt-in, off by default),
+  * the interaction between the env var and the proxy log level (DEBUG always
+    keeps the traceback, INFO/WARNING honors the opt-in), and
+  * the fact that ``spend_log_error`` always emits an ERROR-level record so
+    operators can still see the failure summary.
+"""
+
+import logging
+
+import pytest
+
+from litellm._logging import verbose_proxy_logger
+from litellm.proxy.spend_tracking.spend_log_error_logger import (
+    SUPPRESS_SPEND_LOG_TRACEBACKS_ENV,
+    should_suppress_spend_log_tracebacks,
+    spend_log_error,
+)
+
+
+@pytest.fixture
+def reset_env_and_level(monkeypatch):
+    """Restore both the env var and proxy logger level after each test."""
+    monkeypatch.delenv(SUPPRESS_SPEND_LOG_TRACEBACKS_ENV, raising=False)
+    original_level = verbose_proxy_logger.level
+    yield monkeypatch
+    verbose_proxy_logger.setLevel(original_level)
+
+
+def test_should_suppress_default_is_false(reset_env_and_level):
+    """With no env var set, suppression is off so existing operators see no change."""
+    verbose_proxy_logger.setLevel(logging.INFO)
+    assert should_suppress_spend_log_tracebacks() is False
+
+
+@pytest.mark.parametrize("value", ["true", "True", "TRUE"])
+def test_should_suppress_when_env_true_at_info(reset_env_and_level, value):
+    reset_env_and_level.setenv(SUPPRESS_SPEND_LOG_TRACEBACKS_ENV, value)
+    verbose_proxy_logger.setLevel(logging.INFO)
+    assert should_suppress_spend_log_tracebacks() is True
+
+
+@pytest.mark.parametrize("value", ["false", "False", "no", "0", "", "garbage"])
+def test_should_not_suppress_when_env_falsy(reset_env_and_level, value):
+    if value == "":
+        # ``""`` would be ambiguous; ensure the var is genuinely unset.
+        reset_env_and_level.delenv(SUPPRESS_SPEND_LOG_TRACEBACKS_ENV, raising=False)
+    else:
+        reset_env_and_level.setenv(SUPPRESS_SPEND_LOG_TRACEBACKS_ENV, value)
+    verbose_proxy_logger.setLevel(logging.INFO)
+    assert should_suppress_spend_log_tracebacks() is False
+
+
+def test_debug_level_overrides_suppression(reset_env_and_level):
+    """DEBUG always shows the traceback even when the env var is set."""
+    reset_env_and_level.setenv(SUPPRESS_SPEND_LOG_TRACEBACKS_ENV, "true")
+    verbose_proxy_logger.setLevel(logging.DEBUG)
+    assert should_suppress_spend_log_tracebacks() is False
+
+
+def test_spend_log_error_includes_traceback_by_default(reset_env_and_level, caplog):
+    """Default behavior: ERROR record carries exc_info so the formatter renders it."""
+    verbose_proxy_logger.setLevel(logging.INFO)
+    caplog.set_level(logging.ERROR, logger=verbose_proxy_logger.name)
+
+    try:
+        raise ValueError("boom")
+    except ValueError as e:
+        spend_log_error("update failed: %s", str(e), exc=e)
+
+    assert len(caplog.records) == 1
+    record = caplog.records[0]
+    assert record.levelno == logging.ERROR
+    assert "update failed: boom" in record.getMessage()
+    assert record.exc_info is not None
+    assert record.exc_info[0] is ValueError
+
+
+def test_spend_log_error_drops_traceback_when_env_set(reset_env_and_level, caplog):
+    """Opt-in path: ERROR record still emitted, but exc_info is stripped."""
+    reset_env_and_level.setenv(SUPPRESS_SPEND_LOG_TRACEBACKS_ENV, "true")
+    verbose_proxy_logger.setLevel(logging.INFO)
+    caplog.set_level(logging.ERROR, logger=verbose_proxy_logger.name)
+
+    try:
+        raise ValueError("boom")
+    except ValueError as e:
+        spend_log_error("update failed: %s", str(e), exc=e)
+
+    assert len(caplog.records) == 1
+    record = caplog.records[0]
+    assert record.levelno == logging.ERROR
+    assert "update failed: boom" in record.getMessage()
+    assert record.exc_info is None
+
+
+def test_spend_log_error_keeps_traceback_at_debug_even_with_env(
+    reset_env_and_level, caplog
+):
+    """DEBUG operators always get tracebacks; the env var doesn't apply."""
+    reset_env_and_level.setenv(SUPPRESS_SPEND_LOG_TRACEBACKS_ENV, "true")
+    verbose_proxy_logger.setLevel(logging.DEBUG)
+    caplog.set_level(logging.DEBUG, logger=verbose_proxy_logger.name)
+
+    try:
+        raise RuntimeError("boom-at-debug")
+    except RuntimeError as e:
+        spend_log_error("update failed: %s", str(e), exc=e)
+
+    error_records = [r for r in caplog.records if r.levelno == logging.ERROR]
+    assert len(error_records) == 1
+    record = error_records[0]
+    assert record.exc_info is not None
+    assert record.exc_info[0] is RuntimeError
+
+
+def test_spend_log_error_uses_active_exception_when_exc_omitted(
+    reset_env_and_level, caplog
+):
+    """When called inside an ``except`` block without ``exc=``, the active
+    exception's traceback should still be attached."""
+    verbose_proxy_logger.setLevel(logging.INFO)
+    caplog.set_level(logging.ERROR, logger=verbose_proxy_logger.name)
+
+    try:
+        raise KeyError("missing")
+    except KeyError:
+        spend_log_error("update failed without exc kwarg")
+
+    assert len(caplog.records) == 1
+    record = caplog.records[0]
+    assert record.exc_info is not None
+    assert record.exc_info[0] is KeyError
diff --git a/tests/test_litellm/proxy/spend_tracking/test_spend_tracking_utils.py b/tests/test_litellm/proxy/spend_tracking/test_spend_tracking_utils.py
index 185d337f901..2fc77421643 100644
--- a/tests/test_litellm/proxy/spend_tracking/test_spend_tracking_utils.py
+++ b/tests/test_litellm/proxy/spend_tracking/test_spend_tracking_utils.py
@@ -1523,3 +1523,67 @@ class TestIsMasterKey:
         master = "sk-master-key-123"
         hashed = hash_token(master)
         assert _is_master_key(api_key=hashed, _master_key=master) is False
+
+
+def test_sanitize_request_body_strips_secret_fields():
+    """
+    secret_fields contains raw HTTP headers (including Authorization Bearer
+    tokens). _sanitize_request_body_for_spend_logs_payload must strip it so
+    that sensitive credentials are never persisted in the spend-logs DB.
+    """
+    request_body = {
+        "model": "gpt-4",
+        "messages": [{"role": "user", "content": "hi"}],
+        "secret_fields": {
+            "raw_headers": {
+                "authorization": "Bearer sk-GjX--WwRQmiX2cvASbKf5Q",
+                "content-type": "application/json",
+                "host": "litellm.example.com",
+            }
+        },
+    }
+    sanitized = _sanitize_request_body_for_spend_logs_payload(request_body)
+
+    assert (
+        "secret_fields" not in sanitized
+    ), "secret_fields must be stripped from the sanitized request body"
+    assert sanitized["model"] == "gpt-4"
+    assert sanitized["messages"] == [{"role": "user", "content": "hi"}]
+
+
+@patch(
+    "litellm.proxy.spend_tracking.spend_tracking_utils._should_store_prompts_and_responses_in_spend_logs"
+)
+def test_proxy_server_request_payload_excludes_secret_fields(mock_should_store):
+    """
+    End-to-end test: when the proxy_server_request body contains
+    secret_fields (as it did before the body-snapshot fix), the spend-log
+    serialization must still strip them via the sanitizer fallback.
+    """
+    mock_should_store.return_value = True
+
+    litellm_params = {
+        "proxy_server_request": {
+            "body": {
+                "model": "gpt-4",
+                "messages": [{"role": "user", "content": "hello"}],
+                "secret_fields": {
+                    "raw_headers": {
+                        "authorization": "Bearer sk-super-secret-token",
+                        "host": "litellm.example.com",
+                    }
+                },
+            }
+        }
+    }
+
+    result = _get_proxy_server_request_for_spend_logs_payload(
+        metadata={}, litellm_params=litellm_params, kwargs={}
+    )
+    parsed = json.loads(result)
+
+    assert (
+        "secret_fields" not in parsed
+    ), "secret_fields must never appear in the spend-log proxy_server_request column"
+    assert parsed["model"] == "gpt-4"
+    assert parsed["messages"] == [{"role": "user", "content": "hello"}]
diff --git a/tests/test_litellm/proxy/test_health_check_max_tokens.py b/tests/test_litellm/proxy/test_health_check_max_tokens.py
index 09211b72c3e..72d77862b5d 100644
--- a/tests/test_litellm/proxy/test_health_check_max_tokens.py
+++ b/tests/test_litellm/proxy/test_health_check_max_tokens.py
@@ -225,3 +225,43 @@ def test_wildcard_ignores_reasoning_split_model_info(monkeypatch):
     litellm_params = {"model": "openai/*"}
 
     assert _resolve_health_check_max_tokens(model_info, litellm_params) is None
+
+
+def test_update_litellm_params_health_check_reasoning_effort():
+    """model_info.health_check_reasoning_effort sets reasoning_effort for chat-style health checks."""
+    model_info = {"health_check_reasoning_effort": "low"}
+    litellm_params = {"model": "openai/gpt-5", "api_key": "x"}
+    out = _update_litellm_params_for_health_check(model_info, dict(litellm_params))
+    assert out.get("reasoning_effort") == "low"
+
+    model_info = {"mode": "chat", "health_check_reasoning_effort": "none"}
+    out = _update_litellm_params_for_health_check(
+        model_info, {"model": "openai/gpt-5", "api_key": "x"}
+    )
+    assert out.get("reasoning_effort") == "none"
+
+    model_info = {"mode": "completion", "health_check_reasoning_effort": "low"}
+    out = _update_litellm_params_for_health_check(
+        model_info, {"model": "openai/gpt-5", "api_key": "x"}
+    )
+    assert out.get("reasoning_effort") == "low"
+
+    model_info = {
+        "health_check_reasoning_effort": {"effort": "none", "summary": "auto"},
+    }
+    out = _update_litellm_params_for_health_check(
+        model_info, {"model": "openai/gpt-5.1", "api_key": "x"}
+    )
+    assert out.get("reasoning_effort") == {"effort": "none", "summary": "auto"}
+
+    model_info = {"mode": "embedding", "health_check_reasoning_effort": "low"}
+    out = _update_litellm_params_for_health_check(
+        model_info, {"model": "text-embedding-3-small", "api_key": "x"}
+    )
+    assert "reasoning_effort" not in out
+
+    model_info = {}
+    out = _update_litellm_params_for_health_check(
+        model_info, {"model": "openai/gpt-4o", "api_key": "x"}
+    )
+    assert "reasoning_effort" not in out
diff --git a/tests/test_litellm/proxy/test_litellm_pre_call_utils.py b/tests/test_litellm/proxy/test_litellm_pre_call_utils.py
index 4e24d8af653..383f6886d17 100644
--- a/tests/test_litellm/proxy/test_litellm_pre_call_utils.py
+++ b/tests/test_litellm/proxy/test_litellm_pre_call_utils.py
@@ -449,6 +449,71 @@ async def test_add_litellm_data_to_request_proxy_server_request_body_is_post_str
     )
 
 
+@pytest.mark.asyncio
+async def test_add_litellm_data_to_request_body_snapshot_excludes_secret_fields():
+    """Security: proxy_server_request['body'] must never contain secret_fields
+    because that dict holds raw HTTP headers including Authorization Bearer
+    tokens. The body snapshot is persisted in spend logs and other audit trails,
+    so leaking secret_fields there exposes user credentials.
+
+    secret_fields must still be available on the live ``data`` dict for
+    downstream consumers (MCP, Responses API) that legitimately need raw headers.
+    """
+    from litellm.proxy.litellm_pre_call_utils import add_litellm_data_to_request
+
+    request_mock = MagicMock(spec=Request)
+    request_mock.url.path = "/v1/chat/completions"
+    request_mock.url = MagicMock()
+    request_mock.url.__str__.return_value = "http://localhost/v1/chat/completions"
+    request_mock.method = "POST"
+    request_mock.query_params = {}
+    request_mock.headers = {
+        "Content-Type": "application/json",
+        "Authorization": "Bearer sk-super-secret-token",
+    }
+    request_mock.client = MagicMock()
+    request_mock.client.host = "127.0.0.1"
+
+    data = {
+        "model": "gpt-3.5-turbo",
+        "messages": [{"role": "user", "content": "hello"}],
+    }
+
+    user_api_key_dict = UserAPIKeyAuth(
+        api_key="hashed-key",
+        user_id="test-user",
+        metadata={},
+        team_metadata={},
+        spend=0.0,
+        max_budget=100.0,
+        model_max_budget={},
+        team_spend=0.0,
+        team_max_budget=200.0,
+    )
+
+    updated = await add_litellm_data_to_request(
+        data=data,
+        request=request_mock,
+        user_api_key_dict=user_api_key_dict,
+        proxy_config=MagicMock(),
+        general_settings={},
+        version="test-version",
+    )
+
+    # secret_fields must exist on the live data dict
+    assert (
+        "secret_fields" in updated
+    ), "secret_fields must still be present on the live data dict"
+    assert "raw_headers" in updated["secret_fields"]
+
+    # But the body snapshot must NOT contain secret_fields
+    snapshot_body = updated["proxy_server_request"]["body"]
+    assert "secret_fields" not in snapshot_body, (
+        "secret_fields must be excluded from proxy_server_request['body'] "
+        "to prevent Authorization tokens from leaking into spend logs"
+    )
+
+
 @pytest.mark.asyncio
 async def test_add_litellm_data_to_request_strips_string_encoded_admin_injection():
     """Regression: metadata arriving as a JSON string (multipart/form-data or
@@ -596,6 +661,59 @@ async def test_add_litellm_data_to_request_strips_user_control_fields():
     assert "pillar_response_headers" not in snapshot_body["metadata"]
 
 
+@pytest.mark.asyncio
+@pytest.mark.parametrize(
+    "control_field",
+    ["callbacks", "service_callback", "logger_fn", "litellm_disabled_callbacks"],
+)
+async def test_add_litellm_data_to_request_strips_callback_control_fields(
+    control_field,
+):
+    """``callbacks`` / ``service_callback`` / ``logger_fn`` get appended to
+    the worker-wide ``litellm.{input,success,failure,_async_*,service}_callback``
+    lists and ``litellm.user_logger_fn`` from inside ``function_setup`` —
+    one request poisons every subsequent caller in that worker.
+    ``litellm_disabled_callbacks`` is the inverse: a request-body value
+    silently disables admin-configured audit/observability for the call.
+    None has a documented per-request use, so all four are stripped at
+    the proxy boundary alongside the existing internal-only fields."""
+    request_mock = MagicMock(spec=Request)
+    request_mock.url.path = "/v1/chat/completions"
+    request_mock.url = MagicMock()
+    request_mock.url.__str__.return_value = "http://localhost/v1/chat/completions"
+    request_mock.method = "POST"
+    request_mock.query_params = {}
+    request_mock.headers = {"Content-Type": "application/json"}
+    request_mock.client = MagicMock()
+    request_mock.client.host = "127.0.0.1"
+
+    sample_value = (
+        ["langfuse"]
+        if control_field
+        in ("callbacks", "service_callback", "litellm_disabled_callbacks")
+        else "module.func"
+    )
+
+    updated = await add_litellm_data_to_request(
+        data={
+            "model": "gpt-3.5-turbo",
+            "messages": [{"role": "user", "content": "hi"}],
+            control_field: sample_value,
+        },
+        request=request_mock,
+        user_api_key_dict=UserAPIKeyAuth(api_key="hashed-key"),
+        proxy_config=MagicMock(),
+        general_settings={},
+        version="test-version",
+    )
+
+    assert control_field not in updated
+    # The post-strip body snapshot used by audit/spend logging must also
+    # not retain the attacker-injected control field.
+    snapshot_body = updated["proxy_server_request"]["body"]
+    assert control_field not in snapshot_body
+
+
 @pytest.mark.asyncio
 async def test_add_litellm_data_to_request_allows_client_mock_response_with_admin_opt_in():
     request_mock = MagicMock(spec=Request)
diff --git a/tests/test_litellm/proxy/test_pricing_field_strip.py b/tests/test_litellm/proxy/test_pricing_field_strip.py
new file mode 100644
index 00000000000..b73504b8967
--- /dev/null
+++ b/tests/test_litellm/proxy/test_pricing_field_strip.py
@@ -0,0 +1,312 @@
+"""Proxy strips client-supplied pricing parameters from request bodies.
+
+`litellm.completion` accepts pricing fields (`input_cost_per_token`,
+`output_cost_per_token`, the rest of `CustomPricingLiteLLMParams`,
+`metadata.model_info`) as part of its kwarg surface. On direct SDK use that
+is intentional. On the proxy, those same fields would let any caller rewrite
+their own per-request cost and — via `litellm.register_model` — mutate
+`litellm.model_cost` for every subsequent caller in the worker. The proxy
+strips them at the boundary; an opt-in key/team flag preserves the override
+for operators who actually want it.
+"""
+
+import os
+import sys
+from unittest.mock import MagicMock
+
+import pytest
+from fastapi import Request
+
+import litellm
+from litellm.proxy._types import UserAPIKeyAuth
+from litellm.proxy.litellm_pre_call_utils import (
+    _CLIENT_PRICING_CONTROL_FIELDS,
+    _CLIENT_PRICING_METADATA_FIELDS,
+    _strip_client_pricing_overrides,
+    add_litellm_data_to_request,
+)
+from litellm.types.utils import CustomPricingLiteLLMParams
+
+sys.path.insert(0, os.path.abspath("../../.."))
+
+
+def _make_request_mock() -> Request:
+    request_mock = MagicMock(spec=Request)
+    request_mock.url.path = "/v1/chat/completions"
+    request_mock.url = MagicMock()
+    request_mock.url.__str__.return_value = "http://localhost/v1/chat/completions"
+    request_mock.method = "POST"
+    request_mock.query_params = {}
+    request_mock.headers = {"Content-Type": "application/json"}
+    request_mock.client = MagicMock()
+    request_mock.client.host = "127.0.0.1"
+    return request_mock
+
+
+def _user_api_key_auth(metadata=None, team_metadata=None) -> UserAPIKeyAuth:
+    return UserAPIKeyAuth(
+        api_key="hashed-key",
+        metadata=metadata or {},
+        team_metadata=team_metadata or {},
+        spend=0.0,
+        max_budget=100.0,
+        model_max_budget={},
+        team_spend=0.0,
+        team_max_budget=200.0,
+    )
+
+
+class TestStripClientPricingOverrides:
+    def test_pricing_field_set_tracks_pydantic_model(self):
+        # The strip set is built from the model so additions are picked up
+        # automatically — this test guards against the model and the strip
+        # set drifting apart if someone replaces the auto-derivation later.
+        assert _CLIENT_PRICING_CONTROL_FIELDS == frozenset(
+            CustomPricingLiteLLMParams.model_fields.keys()
+        )
+        # Sanity: the obvious top-level pricing fields are in the set.
+        for field in (
+            "input_cost_per_token",
+            "output_cost_per_token",
+            "input_cost_per_second",
+            "cache_creation_input_token_cost",
+        ):
+            assert field in _CLIENT_PRICING_CONTROL_FIELDS
+
+    def test_root_pricing_fields_dropped(self):
+        data = {
+            "model": "gpt-4",
+            "messages": [{"role": "user", "content": "hi"}],
+            "input_cost_per_token": 0.0,
+            "output_cost_per_token": 0.0,
+            "cache_creation_input_token_cost": 0.0,
+        }
+        _strip_client_pricing_overrides(data)
+        assert data == {
+            "model": "gpt-4",
+            "messages": [{"role": "user", "content": "hi"}],
+        }
+
+    def test_metadata_model_info_dropped(self):
+        data = {
+            "model": "gpt-4",
+            "metadata": {
+                "user_session": "keep-me",
+                "model_info": {"input_cost_per_token": 0.0},
+            },
+            "litellm_metadata": {
+                "model_info": {"output_cost_per_token": 0.0},
+            },
+        }
+        _strip_client_pricing_overrides(data)
+        assert data["metadata"] == {"user_session": "keep-me"}
+        assert data["litellm_metadata"] == {}
+
+    def test_non_pricing_fields_untouched(self):
+        data = {
+            "model": "gpt-4",
+            "temperature": 0.7,
+            "max_tokens": 100,
+            "tools": [{"type": "function"}],
+            "metadata": {"trace_id": "abc"},
+        }
+        snapshot = {
+            "model": "gpt-4",
+            "temperature": 0.7,
+            "max_tokens": 100,
+            "tools": [{"type": "function"}],
+            "metadata": {"trace_id": "abc"},
+        }
+        _strip_client_pricing_overrides(data)
+        assert data == snapshot
+
+    def test_metadata_strip_handles_non_dict_metadata(self):
+        # Defensive — Pydantic validation would normally reject non-dict
+        # metadata, but the strip mustn't crash if a malformed body sneaks in.
+        _strip_client_pricing_overrides({"metadata": "not-a-dict"})
+        _strip_client_pricing_overrides({"metadata": None})
+        _strip_client_pricing_overrides({"litellm_metadata": ["a", "b"]})
+
+    def test_metadata_field_set_contains_model_info(self):
+        assert "model_info" in _CLIENT_PRICING_METADATA_FIELDS
+
+    def test_strip_emits_debug_log_listing_dropped_fields(self, caplog):
+        # Operators need a paper trail so they can diagnose why a previously
+        # working override stopped applying after the strip landed.
+        import logging
+
+        from litellm._logging import verbose_proxy_logger
+
+        verbose_proxy_logger.setLevel(logging.DEBUG)
+        with caplog.at_level(logging.DEBUG, logger=verbose_proxy_logger.name):
+            _strip_client_pricing_overrides(
+                {
+                    "model": "gpt-4",
+                    "input_cost_per_token": 0.0,
+                    "metadata": {"model_info": {"output_cost_per_token": 0.0}},
+                }
+            )
+        log_text = " ".join(record.getMessage() for record in caplog.records)
+        assert "input_cost_per_token" in log_text
+        assert "metadata.model_info" in log_text
+        assert "allow_client_pricing_override" in log_text
+
+    def test_strip_does_not_log_when_no_fields_present(self, caplog):
+        # No-op strips must stay silent so the log isn't filled with noise on
+        # every legitimate request.
+        import logging
+
+        from litellm._logging import verbose_proxy_logger
+
+        verbose_proxy_logger.setLevel(logging.DEBUG)
+        with caplog.at_level(logging.DEBUG, logger=verbose_proxy_logger.name):
+            _strip_client_pricing_overrides({"model": "gpt-4", "temperature": 0.7})
+        assert not any(
+            "pricing" in record.getMessage().lower() for record in caplog.records
+        )
+
+
+@pytest.mark.asyncio
+async def test_add_litellm_data_to_request_strips_root_pricing_fields():
+    data = {
+        "model": "gpt-4",
+        "messages": [{"role": "user", "content": "hi"}],
+        "input_cost_per_token": 0.0,
+        "output_cost_per_token": 0.0,
+    }
+
+    updated = await add_litellm_data_to_request(
+        data=data,
+        request=_make_request_mock(),
+        user_api_key_dict=_user_api_key_auth(),
+        proxy_config=MagicMock(),
+        general_settings={},
+        version="test-version",
+    )
+
+    assert "input_cost_per_token" not in updated
+    assert "output_cost_per_token" not in updated
+
+
+@pytest.mark.asyncio
+async def test_add_litellm_data_to_request_strips_metadata_model_info():
+    data = {
+        "model": "gpt-4",
+        "messages": [{"role": "user", "content": "hi"}],
+        "metadata": {"model_info": {"input_cost_per_token": 0.0}},
+    }
+
+    updated = await add_litellm_data_to_request(
+        data=data,
+        request=_make_request_mock(),
+        user_api_key_dict=_user_api_key_auth(),
+        proxy_config=MagicMock(),
+        general_settings={},
+        version="test-version",
+    )
+
+    assert "model_info" not in updated.get("metadata", {})
+
+
+@pytest.mark.asyncio
+async def test_add_litellm_data_to_request_skips_strip_with_key_opt_in():
+    data = {
+        "model": "gpt-4",
+        "messages": [{"role": "user", "content": "hi"}],
+        "input_cost_per_token": 0.0001,
+        "metadata": {"model_info": {"output_cost_per_token": 0.0002}},
+    }
+
+    user_auth = _user_api_key_auth(metadata={"allow_client_pricing_override": True})
+    updated = await add_litellm_data_to_request(
+        data=data,
+        request=_make_request_mock(),
+        user_api_key_dict=user_auth,
+        proxy_config=MagicMock(),
+        general_settings={},
+        version="test-version",
+    )
+
+    assert updated["input_cost_per_token"] == 0.0001
+    assert updated["metadata"]["model_info"] == {"output_cost_per_token": 0.0002}
+
+
+@pytest.mark.asyncio
+async def test_add_litellm_data_to_request_strips_json_string_litellm_metadata():
+    """``litellm_metadata`` may arrive as a JSON-encoded string (multipart/
+    form-data or ``extra_body``). The strip has to run after the proxy parses
+    it into a dict; otherwise the ``isinstance(dict)`` guard skips the field
+    and ``model_info`` survives the strip via the string path.
+    """
+    import json
+
+    data = {
+        "model": "gpt-4",
+        "messages": [{"role": "user", "content": "hi"}],
+        "litellm_metadata": json.dumps({"model_info": {"input_cost_per_token": 0.0}}),
+    }
+
+    updated = await add_litellm_data_to_request(
+        data=data,
+        request=_make_request_mock(),
+        user_api_key_dict=_user_api_key_auth(),
+        proxy_config=MagicMock(),
+        general_settings={},
+        version="test-version",
+    )
+
+    parsed_metadata = updated.get("litellm_metadata")
+    assert isinstance(parsed_metadata, dict)
+    assert "model_info" not in parsed_metadata
+
+
+@pytest.mark.asyncio
+async def test_add_litellm_data_to_request_skips_strip_with_team_opt_in():
+    data = {
+        "model": "gpt-4",
+        "messages": [{"role": "user", "content": "hi"}],
+        "input_cost_per_token": 0.0001,
+    }
+
+    user_auth = _user_api_key_auth(
+        team_metadata={"allow_client_pricing_override": True}
+    )
+    updated = await add_litellm_data_to_request(
+        data=data,
+        request=_make_request_mock(),
+        user_api_key_dict=user_auth,
+        proxy_config=MagicMock(),
+        general_settings={},
+        version="test-version",
+    )
+
+    assert updated["input_cost_per_token"] == 0.0001
+
+
+@pytest.mark.asyncio
+async def test_global_model_cost_unmutated_after_stripped_request(monkeypatch):
+    """After a stripped request, ``litellm.model_cost`` must not carry the
+    caller's submitted pricing for the model. The mutation only happens when
+    the pricing fields reach ``litellm.completion``; the strip prevents that."""
+    snapshot = dict(litellm.model_cost)
+    data = {
+        "model": "test-pricing-canary-model",
+        "messages": [{"role": "user", "content": "hi"}],
+        "input_cost_per_token": 0.0,
+        "output_cost_per_token": 0.0,
+    }
+
+    await add_litellm_data_to_request(
+        data=data,
+        request=_make_request_mock(),
+        user_api_key_dict=_user_api_key_auth(),
+        proxy_config=MagicMock(),
+        general_settings={},
+        version="test-version",
+    )
+
+    # The strip prevents the pricing fields from ever reaching the path that
+    # would mutate the global model_cost map.
+    assert "test-pricing-canary-model" not in litellm.model_cost
+    # And no other entries were mutated as a side effect.
+    assert litellm.model_cost == snapshot
diff --git a/tests/test_litellm/proxy/test_provider_url_destination_guard.py b/tests/test_litellm/proxy/test_provider_url_destination_guard.py
new file mode 100644
index 00000000000..51cd76105d0
--- /dev/null
+++ b/tests/test_litellm/proxy/test_provider_url_destination_guard.py
@@ -0,0 +1,139 @@
+"""Proxy-level guard against URL-valued ``model`` / ``file_id`` request fields.
+
+Some providers (HuggingFace, Oobabooga, Gemini files) accept a URL in the
+identifier field and use it as the outbound destination. On the proxy that is
+an SSRF primitive — guarded centrally in ``litellm_pre_call_utils`` so SDK
+users keep working but proxy users default-deny.
+"""
+
+import os
+import sys
+from unittest.mock import MagicMock
+
+import pytest
+from fastapi import HTTPException, Request
+
+import litellm
+from litellm.proxy._types import UserAPIKeyAuth
+from litellm.proxy.litellm_pre_call_utils import (
+    _reject_url_valued_destinations,
+    add_litellm_data_to_request,
+)
+
+sys.path.insert(0, os.path.abspath("../../.."))
+
+
+class TestRejectUrlValuedDestinations:
+    def test_plain_model_passes(self):
+        _reject_url_valued_destinations({"model": "gpt-4"})
+
+    def test_plain_file_id_passes(self):
+        _reject_url_valued_destinations({"file_id": "files/abc123"})
+
+    def test_no_destination_field_passes(self):
+        _reject_url_valued_destinations({"messages": [{"role": "user"}]})
+
+    def test_url_valued_model_rejected(self):
+        with pytest.raises(HTTPException) as exc_info:
+            _reject_url_valued_destinations({"model": "https://attacker.example/v1"})
+        assert exc_info.value.status_code == 400
+        assert exc_info.value.detail["param"] == "model"
+
+    def test_url_valued_file_id_rejected(self):
+        with pytest.raises(HTTPException) as exc_info:
+            _reject_url_valued_destinations(
+                {"file_id": "https://attacker.example/v1beta/files/abc"}
+            )
+        assert exc_info.value.status_code == 400
+        assert exc_info.value.detail["param"] == "file_id"
+
+    def test_http_scheme_also_rejected(self):
+        with pytest.raises(HTTPException):
+            _reject_url_valued_destinations({"model": "http://10.0.0.1:8080/v1"})
+
+    def test_non_string_value_ignored(self):
+        # Defensive: malformed inputs (list, dict, None) shouldn't crash here;
+        # downstream Pydantic validation handles the type error.
+        _reject_url_valued_destinations({"model": None})
+        _reject_url_valued_destinations({"model": 42})
+        _reject_url_valued_destinations({"file_id": ["a", "b"]})
+
+    def test_allowlisted_host_passes(self, monkeypatch):
+        monkeypatch.setattr(
+            litellm,
+            "provider_url_destination_allowed_hosts",
+            ["trusted.example"],
+        )
+        _reject_url_valued_destinations({"model": "https://trusted.example/v1"})
+
+    def test_allowlisted_origin_rejects_mismatched_scheme(self, monkeypatch):
+        monkeypatch.setattr(
+            litellm,
+            "provider_url_destination_allowed_hosts",
+            ["https://trusted.example"],
+        )
+        _reject_url_valued_destinations({"model": "https://trusted.example/v1"})
+        with pytest.raises(HTTPException):
+            _reject_url_valued_destinations({"model": "http://trusted.example/v1"})
+
+    def test_allowlisted_host_port_rejects_other_ports(self, monkeypatch):
+        monkeypatch.setattr(
+            litellm,
+            "provider_url_destination_allowed_hosts",
+            ["trusted.example:8443"],
+        )
+        _reject_url_valued_destinations({"model": "https://trusted.example:8443/v1"})
+        with pytest.raises(HTTPException):
+            _reject_url_valued_destinations({"model": "https://trusted.example/v1"})
+
+    def test_userinfo_in_url_rejected_even_when_host_allowlisted(self, monkeypatch):
+        # Embedded credentials in URL are an exfil channel — must never pass.
+        monkeypatch.setattr(
+            litellm,
+            "provider_url_destination_allowed_hosts",
+            ["trusted.example"],
+        )
+        with pytest.raises(HTTPException):
+            _reject_url_valued_destinations(
+                {"model": "https://user:pass@trusted.example/v1"}
+            )
+
+
+def _make_request_mock() -> Request:
+    request_mock = MagicMock(spec=Request)
+    request_mock.url.path = "/v1/chat/completions"
+    request_mock.url = MagicMock()
+    request_mock.url.__str__.return_value = "http://localhost/v1/chat/completions"
+    request_mock.method = "POST"
+    request_mock.query_params = {}
+    request_mock.headers = {"Content-Type": "application/json"}
+    request_mock.client = MagicMock()
+    request_mock.client.host = "127.0.0.1"
+    return request_mock
+
+
+@pytest.mark.asyncio
+async def test_add_litellm_data_to_request_rejects_url_valued_model():
+    user_api_key_dict = UserAPIKeyAuth(
+        api_key="hashed-key",
+        metadata={},
+        team_metadata={},
+        spend=0.0,
+        max_budget=100.0,
+        model_max_budget={},
+        team_spend=0.0,
+        team_max_budget=200.0,
+    )
+    data = {"model": "https://attacker.example/v1", "messages": []}
+
+    with pytest.raises(HTTPException) as exc_info:
+        await add_litellm_data_to_request(
+            data=data,
+            request=_make_request_mock(),
+            user_api_key_dict=user_api_key_dict,
+            proxy_config=MagicMock(),
+            general_settings={},
+            version="test-version",
+        )
+    assert exc_info.value.status_code == 400
+    assert exc_info.value.detail["param"] == "model"
diff --git a/tests/test_litellm/proxy/test_pyroscope.py b/tests/test_litellm/proxy/test_pyroscope.py
index e7b16125dc1..0ac3e110613 100644
--- a/tests/test_litellm/proxy/test_pyroscope.py
+++ b/tests/test_litellm/proxy/test_pyroscope.py
@@ -2,11 +2,13 @@
 
 import os
 import sys
+from typing import Optional
 from unittest.mock import MagicMock, patch
 
 import pytest
 
 from litellm.proxy.proxy_server import ProxyStartupEvent
+from litellm.secret_managers.main import get_secret_str as real_get_secret_str
 
 
 def _mock_pyroscope_module():
@@ -16,6 +18,22 @@ def _mock_pyroscope_module():
     return m
 
 
+def _patch_pyroscope_grafana_secrets(user: Optional[str], token: Optional[str]):
+    """Patch proxy_server.get_secret_str for Grafana keys; defer other secrets to the real helper."""
+
+    def side_effect(secret_name: str, default_value=None):
+        if secret_name == "PYROSCOPE_GRAFANA_USER":
+            return user
+        if secret_name == "PYROSCOPE_GRAFANA_API_TOKEN":
+            return token
+        return real_get_secret_str(secret_name, default_value)
+
+    return patch(
+        "litellm.proxy.proxy_server.get_secret_str",
+        side_effect=side_effect,
+    )
+
+
 def test_init_pyroscope_returns_cleanly_when_disabled():
     """When LITELLM_ENABLE_PYROSCOPE is false, _init_pyroscope returns without error."""
     with (
@@ -103,6 +121,8 @@ def test_init_pyroscope_raises_when_sample_rate_invalid():
                 "PYROSCOPE_APP_NAME": "myapp",
                 "PYROSCOPE_SERVER_ADDRESS": "http://localhost:4040",
                 "PYROSCOPE_SAMPLE_RATE": "not-a-number",
+                "PYROSCOPE_GRAFANA_API_TOKEN": "",
+                "PYROSCOPE_GRAFANA_USER": "",
             },
             clear=False,
         ),
@@ -130,6 +150,8 @@ def test_init_pyroscope_accepts_integer_sample_rate():
                 "PYROSCOPE_APP_NAME": "myapp",
                 "PYROSCOPE_SERVER_ADDRESS": "http://localhost:4040",
                 "PYROSCOPE_SAMPLE_RATE": "100",
+                "PYROSCOPE_GRAFANA_API_TOKEN": "",
+                "PYROSCOPE_GRAFANA_USER": "",
             },
             clear=False,
         ),
@@ -137,7 +159,7 @@ def test_init_pyroscope_accepts_integer_sample_rate():
         ProxyStartupEvent._init_pyroscope()
     mock_pyroscope.configure.assert_called_once()
     call_kw = mock_pyroscope.configure.call_args[1]
-    assert call_kw["app_name"] == "myapp"
+    assert call_kw["application_name"] == "myapp"
     assert call_kw["server_address"] == "http://localhost:4040"
     assert call_kw["sample_rate"] == 100
 
@@ -161,6 +183,8 @@ def test_init_pyroscope_accepts_float_sample_rate_parsed_as_int():
                 "PYROSCOPE_APP_NAME": "myapp",
                 "PYROSCOPE_SERVER_ADDRESS": "http://localhost:4040",
                 "PYROSCOPE_SAMPLE_RATE": "100.7",
+                "PYROSCOPE_GRAFANA_API_TOKEN": "",
+                "PYROSCOPE_GRAFANA_USER": "",
             },
             clear=False,
         ),
@@ -168,3 +192,142 @@ def test_init_pyroscope_accepts_float_sample_rate_parsed_as_int():
         ProxyStartupEvent._init_pyroscope()
     call_kw = mock_pyroscope.configure.call_args[1]
     assert call_kw["sample_rate"] == 100
+
+
+def test_init_pyroscope_configures_grafana_cloud_basic_auth():
+    """When Grafana Cloud credentials are set, passes them as Pyroscope basic auth."""
+    mock_pyroscope = _mock_pyroscope_module()
+    with (
+        patch(
+            "litellm.proxy.proxy_server.get_secret_bool",
+            return_value=True,
+        ),
+        _patch_pyroscope_grafana_secrets("123456", "glc_test_token"),
+        patch.dict(
+            sys.modules,
+            {"pyroscope": mock_pyroscope},
+        ),
+        patch.dict(
+            os.environ,
+            {
+                "LITELLM_ENABLE_PYROSCOPE": "true",
+                "PYROSCOPE_APP_NAME": "myapp",
+                "PYROSCOPE_SERVER_ADDRESS": "https://profiles-prod-001.grafana.net",
+            },
+            clear=False,
+        ),
+    ):
+        ProxyStartupEvent._init_pyroscope()
+    call_kw = mock_pyroscope.configure.call_args[1]
+    assert call_kw["basic_auth_username"] == "123456"
+    assert call_kw["basic_auth_password"] == "glc_test_token"
+
+
+def test_init_pyroscope_raises_when_grafana_token_missing_user():
+    """When Grafana token is set without a Pyroscope user, raises ValueError."""
+    mock_pyroscope = _mock_pyroscope_module()
+    with (
+        patch(
+            "litellm.proxy.proxy_server.get_secret_bool",
+            return_value=True,
+        ),
+        _patch_pyroscope_grafana_secrets("", "glc_test_token"),
+        patch.dict(
+            sys.modules,
+            {"pyroscope": mock_pyroscope},
+        ),
+        patch.dict(
+            os.environ,
+            {
+                "LITELLM_ENABLE_PYROSCOPE": "true",
+                "PYROSCOPE_APP_NAME": "myapp",
+                "PYROSCOPE_SERVER_ADDRESS": "https://profiles-prod-001.grafana.net",
+            },
+            clear=False,
+        ),
+    ):
+        with pytest.raises(ValueError, match="PYROSCOPE_GRAFANA_USER"):
+            ProxyStartupEvent._init_pyroscope()
+
+
+def test_init_pyroscope_raises_when_grafana_user_missing_token():
+    """When Grafana Pyroscope user is set without a token, raises ValueError."""
+    mock_pyroscope = _mock_pyroscope_module()
+    with (
+        patch(
+            "litellm.proxy.proxy_server.get_secret_bool",
+            return_value=True,
+        ),
+        _patch_pyroscope_grafana_secrets("123456", ""),
+        patch.dict(
+            sys.modules,
+            {"pyroscope": mock_pyroscope},
+        ),
+        patch.dict(
+            os.environ,
+            {
+                "LITELLM_ENABLE_PYROSCOPE": "true",
+                "PYROSCOPE_APP_NAME": "myapp",
+                "PYROSCOPE_SERVER_ADDRESS": "https://profiles-prod-001.grafana.net",
+            },
+            clear=False,
+        ),
+    ):
+        with pytest.raises(ValueError, match="PYROSCOPE_GRAFANA_API_TOKEN"):
+            ProxyStartupEvent._init_pyroscope()
+
+
+def test_init_pyroscope_raises_when_grafana_user_whitespace_only_with_token():
+    """Whitespace-only user id does not satisfy Grafana mutual exclusion."""
+    mock_pyroscope = _mock_pyroscope_module()
+    with (
+        patch(
+            "litellm.proxy.proxy_server.get_secret_bool",
+            return_value=True,
+        ),
+        _patch_pyroscope_grafana_secrets("   \t", "glc_test_token"),
+        patch.dict(
+            sys.modules,
+            {"pyroscope": mock_pyroscope},
+        ),
+        patch.dict(
+            os.environ,
+            {
+                "LITELLM_ENABLE_PYROSCOPE": "true",
+                "PYROSCOPE_APP_NAME": "myapp",
+                "PYROSCOPE_SERVER_ADDRESS": "https://profiles-prod-001.grafana.net",
+            },
+            clear=False,
+        ),
+    ):
+        with pytest.raises(ValueError, match="PYROSCOPE_GRAFANA_USER"):
+            ProxyStartupEvent._init_pyroscope()
+
+
+def test_init_pyroscope_strips_grafana_credentials_for_basic_auth():
+    """Leading/trailing whitespace on Grafana secrets is trimmed before configure."""
+    mock_pyroscope = _mock_pyroscope_module()
+    with (
+        patch(
+            "litellm.proxy.proxy_server.get_secret_bool",
+            return_value=True,
+        ),
+        _patch_pyroscope_grafana_secrets("  123456  ", "  glc_test_token\n"),
+        patch.dict(
+            sys.modules,
+            {"pyroscope": mock_pyroscope},
+        ),
+        patch.dict(
+            os.environ,
+            {
+                "LITELLM_ENABLE_PYROSCOPE": "true",
+                "PYROSCOPE_APP_NAME": "myapp",
+                "PYROSCOPE_SERVER_ADDRESS": "https://profiles-prod-001.grafana.net",
+            },
+            clear=False,
+        ),
+    ):
+        ProxyStartupEvent._init_pyroscope()
+    call_kw = mock_pyroscope.configure.call_args[1]
+    assert call_kw["basic_auth_username"] == "123456"
+    assert call_kw["basic_auth_password"] == "glc_test_token"
diff --git a/tests/test_litellm/proxy/test_sensitive_route_auth.py b/tests/test_litellm/proxy/test_sensitive_route_auth.py
new file mode 100644
index 00000000000..19998e52779
--- /dev/null
+++ b/tests/test_litellm/proxy/test_sensitive_route_auth.py
@@ -0,0 +1,34 @@
+from fastapi.routing import APIRoute
+
+from litellm.proxy.auth.user_api_key_auth import user_api_key_auth
+from litellm.proxy.common_utils.debug_utils import router as debug_router
+from litellm.proxy.spend_tracking.spend_management_endpoints import (
+    router as spend_router,
+)
+
+
+def _get_route_dependency_calls(router, path: str, method: str):
+    for route in router.routes:
+        if (
+            isinstance(route, APIRoute)
+            and route.path == path
+            and method in route.methods
+        ):
+            return [dependency.call for dependency in route.dependant.dependencies]
+    raise AssertionError(f"Route {method} {path} not found")
+
+
+def test_sensitive_debug_routes_require_auth_dependency():
+    for path, method in (
+        ("/debug/asyncio-tasks", "GET"),
+        ("/otel-spans", "GET"),
+    ):
+        assert user_api_key_auth in _get_route_dependency_calls(
+            debug_router, path, method
+        )
+
+
+def test_provider_budgets_requires_auth_dependency():
+    assert user_api_key_auth in _get_route_dependency_calls(
+        spend_router, "/provider/budgets", "GET"
+    )
diff --git a/tests/test_litellm/proxy/test_swagger_chat_completions.py b/tests/test_litellm/proxy/test_swagger_chat_completions.py
index 4723034114a..36ead2f41c7 100644
--- a/tests/test_litellm/proxy/test_swagger_chat_completions.py
+++ b/tests/test_litellm/proxy/test_swagger_chat_completions.py
@@ -5,7 +5,7 @@ This test ensures that the ProxyChatCompletionRequest Pydantic model is properly
 for the /chat/completions endpoint, showing all expected fields in the Swagger documentation.
 """
 
-from unittest.mock import Mock, patch
+from unittest.mock import patch
 
 import pytest
 from fastapi.testclient import TestClient
@@ -414,3 +414,100 @@ class TestSwaggerChatCompletions:
                 assert (
                     schema["servers"][0]["url"] == expected_url
                 ), f"Expected servers URL '{expected_url}' in custom_openapi, got '{schema['servers'][0]['url']}'"
+
+    def test_should_make_duplicate_operation_ids_unique_by_method(self):
+        from litellm.proxy.proxy_server import ensure_unique_openapi_operation_ids
+
+        schema = {
+            "paths": {
+                "/anthropic/{endpoint}": {
+                    "delete": {
+                        "operationId": "anthropic_proxy_route_anthropic__endpoint__delete"
+                    },
+                    "get": {
+                        "operationId": "anthropic_proxy_route_anthropic__endpoint__delete"
+                    },
+                    "post": {
+                        "operationId": "anthropic_proxy_route_anthropic__endpoint__delete"
+                    },
+                },
+                "/models": {
+                    "get": {
+                        "operationId": "list_models_models_get",
+                    }
+                },
+            }
+        }
+
+        result = ensure_unique_openapi_operation_ids(schema)
+
+        assert (
+            result["paths"]["/anthropic/{endpoint}"]["delete"]["operationId"]
+            == "anthropic_proxy_route_anthropic__endpoint__delete"
+        )
+        assert (
+            result["paths"]["/anthropic/{endpoint}"]["get"]["operationId"]
+            == "anthropic_proxy_route_anthropic__endpoint__get"
+        )
+        assert (
+            result["paths"]["/anthropic/{endpoint}"]["post"]["operationId"]
+            == "anthropic_proxy_route_anthropic__endpoint__post"
+        )
+        operation_ids = [
+            operation["operationId"]
+            for path_item in result["paths"].values()
+            for operation in path_item.values()
+        ]
+        assert len(operation_ids) == len(set(operation_ids))
+
+    def test_should_not_add_method_suffix_to_multi_method_route_base_id(self):
+        from types import SimpleNamespace
+
+        from litellm.proxy.proxy_server import _generate_stable_operation_id
+
+        multi_method_route = SimpleNamespace(
+            name="anthropic_proxy_route",
+            path_format="/anthropic/{endpoint}",
+            methods={"DELETE", "GET", "POST"},
+        )
+        single_method_route = SimpleNamespace(
+            name="list_models",
+            path_format="/models",
+            methods={"GET"},
+        )
+
+        assert (
+            _generate_stable_operation_id(multi_method_route)
+            == "anthropic_proxy_route_anthropic__endpoint_"
+        )
+        assert (
+            _generate_stable_operation_id(single_method_route)
+            == "list_models_models_get"
+        )
+
+    def test_should_reserve_operation_ids_across_lazy_fragments(self):
+        from litellm.proxy.proxy_server import ensure_unique_openapi_operation_ids
+
+        used_operation_ids = set()
+        first_schema = {
+            "paths": {
+                "/tools/list": {
+                    "get": {"operationId": "list_tool_rest_api_mcp_rest_tools_list_get"}
+                }
+            }
+        }
+        second_schema = {
+            "paths": {
+                "/v1/tools/list": {
+                    "get": {"operationId": "list_tool_rest_api_mcp_rest_tools_list_get"}
+                }
+            }
+        }
+
+        ensure_unique_openapi_operation_ids(first_schema, used_operation_ids)
+        result = ensure_unique_openapi_operation_ids(second_schema, used_operation_ids)
+
+        assert (
+            result["paths"]["/v1/tools/list"]["get"]["operationId"]
+            == "list_tool_rest_api_mcp_rest_tools_list_get_2"
+        )
diff --git a/tests/test_litellm/proxy/ui_crud_endpoints/test_proxy_setting_endpoints.py b/tests/test_litellm/proxy/ui_crud_endpoints/test_proxy_setting_endpoints.py
index 5fdcb9456df..c27d7eedcdb 100644
--- a/tests/test_litellm/proxy/ui_crud_endpoints/test_proxy_setting_endpoints.py
+++ b/tests/test_litellm/proxy/ui_crud_endpoints/test_proxy_setting_endpoints.py
@@ -868,6 +868,7 @@ class TestProxySettingEndpoints:
         mock_db_record = MagicMock()
         mock_db_record.ui_settings = {
             "disable_model_add_for_internal_users": True,
+            "require_auth_for_public_ai_hub": True,
             "unexpected_flag": True,
         }
         mock_prisma.db.litellm_uisettings.find_unique = AsyncMock(
@@ -880,10 +881,12 @@ class TestProxySettingEndpoints:
         assert response.status_code == 200
         data = response.json()
         assert data["values"]["disable_model_add_for_internal_users"] is True
+        assert data["values"]["require_auth_for_public_ai_hub"] is True
         assert "unexpected_flag" not in data["values"]
         assert (
             "disable_model_add_for_internal_users" in data["field_schema"]["properties"]
         )
+        assert "require_auth_for_public_ai_hub" in data["field_schema"]["properties"]
         mock_prisma.db.litellm_uisettings.find_unique.assert_called_once_with(
             where={"id": "ui_settings"}
         )
@@ -1070,6 +1073,43 @@ class TestProxySettingEndpoints:
         assert "unsupported_flag" not in stored_settings
         assert stored_settings["disable_model_add_for_internal_users"] is False
 
+    def test_update_ui_settings_preserves_public_ai_hub_auth_flag(
+        self, mock_auth, monkeypatch
+    ):
+        """Public AI Hub auth is an existing UI setting and must remain writable."""
+        from unittest.mock import AsyncMock, MagicMock
+
+        from litellm.proxy._types import UserAPIKeyAuth
+        from litellm.proxy.auth.user_api_key_auth import user_api_key_auth
+
+        mock_user_auth = UserAPIKeyAuth(
+            user_id="test-user-123",
+            user_role=LitellmUserRoles.PROXY_ADMIN,
+        )
+        app.dependency_overrides[user_api_key_auth] = lambda: mock_user_auth
+
+        monkeypatch.setattr("litellm.proxy.proxy_server.store_model_in_db", True)
+        mock_prisma = MagicMock()
+        mock_prisma.db.litellm_uisettings.upsert = AsyncMock()
+        mock_prisma.db.litellm_uisettings.find_unique = AsyncMock(return_value=None)
+        monkeypatch.setattr("litellm.proxy.proxy_server.prisma_client", mock_prisma)
+
+        payload = {"require_auth_for_public_ai_hub": True}
+
+        try:
+            response = client.patch("/update/ui_settings", json=payload)
+        finally:
+            app.dependency_overrides.clear()
+
+        assert response.status_code == 200
+        data = response.json()
+        assert data["status"] == "success"
+        assert data["settings"]["require_auth_for_public_ai_hub"] is True
+
+        call_args = mock_prisma.db.litellm_uisettings.upsert.call_args
+        stored_settings = json.loads(call_args.kwargs["data"]["create"]["ui_settings"])
+        assert stored_settings["require_auth_for_public_ai_hub"] is True
+
     def test_update_ui_settings_persists_forward_llm_provider_auth_headers(
         self, mock_auth, monkeypatch
     ):
@@ -1147,6 +1187,43 @@ class TestProxySettingEndpoints:
         assert response.status_code == 200
         assert general_settings.get("forward_llm_provider_auth_headers") is True
 
+    def test_update_ui_settings_syncs_public_health_readiness_details_to_general_settings(
+        self, mock_auth, monkeypatch
+    ):
+        """Public readiness details flag must be synced so the health route sees it."""
+        from unittest.mock import AsyncMock, MagicMock
+
+        from litellm.proxy._types import UserAPIKeyAuth
+        from litellm.proxy.auth.user_api_key_auth import user_api_key_auth
+
+        mock_user_auth = UserAPIKeyAuth(
+            user_id="test-user-123",
+            user_role=LitellmUserRoles.PROXY_ADMIN,
+        )
+        app.dependency_overrides[user_api_key_auth] = lambda: mock_user_auth
+
+        monkeypatch.setattr("litellm.proxy.proxy_server.store_model_in_db", True)
+
+        general_settings: dict = {}
+        monkeypatch.setattr(
+            "litellm.proxy.proxy_server.general_settings", general_settings
+        )
+
+        mock_prisma = MagicMock()
+        mock_prisma.db.litellm_uisettings.upsert = AsyncMock()
+        mock_prisma.db.litellm_uisettings.find_unique = AsyncMock(return_value=None)
+        monkeypatch.setattr("litellm.proxy.proxy_server.prisma_client", mock_prisma)
+
+        payload = {"allow_public_health_readiness_details": True}
+
+        try:
+            response = client.patch("/update/ui_settings", json=payload)
+        finally:
+            app.dependency_overrides.clear()
+
+        assert response.status_code == 200
+        assert general_settings.get("allow_public_health_readiness_details") is True
+
     def test_update_ui_settings_persists_and_syncs_disable_key_generate_for_org_admin(
         self, mock_auth, monkeypatch
     ):
diff --git a/tests/test_litellm/proxy/vector_store_endpoints/test_vector_store_endpoints.py b/tests/test_litellm/proxy/vector_store_endpoints/test_vector_store_endpoints.py
index e67a04c749a..81b67e8bc50 100644
--- a/tests/test_litellm/proxy/vector_store_endpoints/test_vector_store_endpoints.py
+++ b/tests/test_litellm/proxy/vector_store_endpoints/test_vector_store_endpoints.py
@@ -36,6 +36,33 @@ from litellm.proxy.vector_store_endpoints.utils import (
 from litellm.types.utils import LlmProviders
 
 
+def _serialize_litellm_params(litellm_params):
+    """Serialize ``litellm_params`` to a string for substring assertions.
+
+    The redact helper preserves the persisted shape — string in, string
+    out; dict in, dict out — so callers that just want to assert "this
+    secret never appears" need a single text representation either way.
+    """
+    import json
+
+    if isinstance(litellm_params, str):
+        return litellm_params
+    return json.dumps(litellm_params or {})
+
+
+@pytest.fixture(autouse=True)
+def _reset_embedding_config_cache():
+    """The use-time embedding-config resolver caches results in process
+    memory across calls. Reset it before every test so the resolver
+    actually exercises the router/DB path under test instead of returning
+    a value cached by an earlier test."""
+    from litellm.proxy.vector_store_endpoints import management_endpoints
+
+    management_endpoints._embedding_config_cache = None
+    yield
+    management_endpoints._embedding_config_cache = None
+
+
 @pytest.mark.asyncio
 async def test_router_avector_store_search_passes_correct_args():
     """
@@ -170,6 +197,93 @@ async def test_update_request_data_with_litellm_managed_vector_store_registry():
         assert result == original_data
 
 
+@pytest.mark.asyncio
+async def test_update_request_data_resolves_embedding_config_at_use_time():
+    """When the persisted vector store row carries only a
+    ``litellm_embedding_model`` reference (the new behaviour after
+    moving the auto-resolve out of write time), the request-handling
+    layer must resolve the embedding config so the downstream embed
+    call still has ``api_key`` / ``api_base`` / ``api_version``. The
+    resolved config lives in this per-request data dict only — never
+    persisted."""
+    mock_vector_store: LiteLLM_ManagedVectorStore = {
+        "vector_store_id": "test_store",
+        "custom_llm_provider": "azure_ai",
+        "litellm_params": {
+            "litellm_embedding_model": "azure/text-embedding-3-large",
+            # Note: no litellm_embedding_config persisted
+        },
+    }
+
+    mock_registry = MagicMock()
+    mock_registry.get_litellm_managed_vector_store_from_registry.return_value = (
+        mock_vector_store
+    )
+
+    resolved = {
+        "api_key": "use-time-resolved-key",
+        "api_base": "https://my-azure.example",
+        "api_version": "2024-09-01",
+    }
+
+    with (
+        patch.object(litellm, "vector_store_registry", mock_registry),
+        patch(
+            "litellm.proxy.vector_store_endpoints.endpoints._resolve_embedding_config",
+            new=AsyncMock(return_value=resolved),
+        ),
+    ):
+        result = await _update_request_data_with_litellm_managed_vector_store_registry(
+            data={}, vector_store_id="test_store"
+        )
+
+    assert result["litellm_embedding_model"] == "azure/text-embedding-3-large"
+    assert result["litellm_embedding_config"] == resolved
+
+
+@pytest.mark.asyncio
+async def test_update_request_data_passes_through_legacy_embedding_config():
+    """A vector store row created by an older proxy version may already
+    carry a fully-resolved ``litellm_embedding_config`` in its persisted
+    ``litellm_params`` (the very leak this PR closes). Those legacy rows
+    must still work — the use-time resolver skips re-resolution when
+    the config is already present so the embed call keeps succeeding."""
+    legacy_config = {
+        "api_key": "legacy-cleartext-key",
+        "api_base": "https://legacy-azure.example",
+        "api_version": "2024-01-01",
+    }
+    mock_vector_store: LiteLLM_ManagedVectorStore = {
+        "vector_store_id": "legacy_store",
+        "custom_llm_provider": "azure_ai",
+        "litellm_params": {
+            "litellm_embedding_model": "azure/text-embedding-3-large",
+            "litellm_embedding_config": legacy_config,
+        },
+    }
+
+    mock_registry = MagicMock()
+    mock_registry.get_litellm_managed_vector_store_from_registry.return_value = (
+        mock_vector_store
+    )
+
+    resolve_mock = AsyncMock()
+
+    with (
+        patch.object(litellm, "vector_store_registry", mock_registry),
+        patch(
+            "litellm.proxy.vector_store_endpoints.endpoints._resolve_embedding_config",
+            new=resolve_mock,
+        ),
+    ):
+        result = await _update_request_data_with_litellm_managed_vector_store_registry(
+            data={}, vector_store_id="legacy_store"
+        )
+
+    assert result["litellm_embedding_config"] == legacy_config
+    resolve_mock.assert_not_awaited()
+
+
 class TestCheckVectorStorePermission:
     """Test suite for check_vector_store_permission function."""
 
@@ -1417,20 +1531,25 @@ async def test_new_vector_store_auto_resolves_embedding_config():
         )
 
     assert result["status"] == "success"
-    # Verify that embedding config was resolved and included in the create call
+    # Auto-resolve no longer happens at create time — the persisted row
+    # carries only the model reference, never the resolved cleartext
+    # credential. Resolution now happens at request-handling time inside
+    # ``_update_request_data_with_litellm_managed_vector_store_registry``,
+    # where the resolved config lives in per-request memory and is never
+    # written to the database.
     litellm_params_json = captured_create_data.get("litellm_params")
     assert litellm_params_json is not None
     litellm_params_dict = json.loads(litellm_params_json)
-    assert "litellm_embedding_config" in litellm_params_dict
-    assert (
-        litellm_params_dict["litellm_embedding_config"]["api_key"] == "resolved-api-key"
-    )
-    assert (
-        litellm_params_dict["litellm_embedding_config"]["api_base"]
-        == "https://api.openai.com"
-    )
-    assert (
-        litellm_params_dict["litellm_embedding_config"]["api_version"] == "2024-01-01"
+    assert "litellm_embedding_config" not in litellm_params_dict
+    assert litellm_params_dict["litellm_embedding_model"] == "text-embedding-ada-002"
+
+    # The response must also not echo a cleartext credential — even on
+    # the create response, where redaction guards against caller-supplied
+    # cleartext or pre-existing rows that were created by an earlier
+    # proxy version.
+    response_vs = result["vector_store"]
+    assert "resolved-api-key" not in _serialize_litellm_params(
+        response_vs.get("litellm_params")
     )
 
 
@@ -1578,6 +1697,43 @@ async def test_resolve_embedding_config_tries_router_then_db():
     mock_prisma_client.db.litellm_proxymodeltable.find_first.assert_not_called()
 
 
+@pytest.mark.asyncio
+async def test_resolve_embedding_config_caches_result():
+    """The first lookup should hit the router/DB; subsequent lookups for
+    the same model name should return the cached value without touching
+    the router or the database."""
+    from litellm.types.router import Deployment, LiteLLM_Params
+
+    mock_prisma_client = MagicMock()
+    mock_router = MagicMock()
+
+    mock_litellm_params = MagicMock(spec=LiteLLM_Params)
+    mock_litellm_params.api_key = "router-api-key"
+    mock_litellm_params.api_base = "https://router-api-base.com"
+    mock_litellm_params.api_version = None
+
+    mock_deployment = MagicMock(spec=Deployment)
+    mock_deployment.litellm_params = mock_litellm_params
+    mock_router.get_deployment_by_model_group_name.return_value = mock_deployment
+
+    first = await _resolve_embedding_config(
+        embedding_model="cached-model",
+        prisma_client=mock_prisma_client,
+        llm_router=mock_router,
+    )
+    assert first is not None
+    assert mock_router.get_deployment_by_model_group_name.call_count == 1
+
+    second = await _resolve_embedding_config(
+        embedding_model="cached-model",
+        prisma_client=mock_prisma_client,
+        llm_router=mock_router,
+    )
+    assert second == first
+    # Router (and by extension the DB) was not consulted again.
+    assert mock_router.get_deployment_by_model_group_name.call_count == 1
+
+
 @pytest.mark.asyncio
 async def test_resolve_embedding_config_falls_back_to_db():
     """Test that _resolve_embedding_config falls back to DB when router doesn't have the model."""
@@ -1687,21 +1843,18 @@ async def test_new_vector_store_auto_resolves_from_router():
         )
 
     assert result["status"] == "success"
-    # Verify that embedding config was resolved from router and included in the create call
+    # Resolution against the router happens at request-handling time now,
+    # not at row creation. The persisted ``litellm_params`` carries only
+    # the model reference, never the cleartext credential.
     litellm_params_json = captured_create_data.get("litellm_params")
     assert litellm_params_json is not None
     litellm_params_dict = json.loads(litellm_params_json)
-    assert "litellm_embedding_config" in litellm_params_dict
-    assert (
-        litellm_params_dict["litellm_embedding_config"]["api_key"]
-        == "router-resolved-api-key"
-    )
-    assert (
-        litellm_params_dict["litellm_embedding_config"]["api_base"]
-        == "https://router-resolved-base.com"
-    )
-    assert (
-        litellm_params_dict["litellm_embedding_config"]["api_version"] == "2024-03-01"
+    assert "litellm_embedding_config" not in litellm_params_dict
+    assert litellm_params_dict["litellm_embedding_model"] == "config-embedding-model"
+
+    response_vs = result["vector_store"]
+    assert "router-resolved-api-key" not in _serialize_litellm_params(
+        response_vs.get("litellm_params")
     )
 
 
diff --git a/tests/test_litellm/router_strategy/test_router_routing_groups.py b/tests/test_litellm/router_strategy/test_router_routing_groups.py
new file mode 100644
index 00000000000..7368c72836d
--- /dev/null
+++ b/tests/test_litellm/router_strategy/test_router_routing_groups.py
@@ -0,0 +1,631 @@
+"""
+Tests for `routing_groups` — assigns named subsets of `model_name`s to a
+per-group routing strategy. Models not claimed by an explicit group fall into
+the implicit `"default"` group driven by the router's top-level
+`routing_strategy` / `routing_strategy_args`.
+"""
+
+import os
+import sys
+from unittest.mock import patch
+
+import pytest
+
+sys.path.insert(0, os.path.abspath("../.."))
+
+import litellm
+from litellm import Router
+from litellm.types.router import RoutingGroup, RoutingStrategy
+
+
+def _model_list():
+    return [
+        {
+            "model_name": "filtered-model",
+            "litellm_params": {
+                "model": "openai/gpt-4o",
+                "api_key": "sk-test-1",
+                "api_base": "https://example.invalid",
+            },
+            "model_info": {"id": "deploy-1"},
+        },
+        {
+            "model_name": "filtered-model",
+            "litellm_params": {
+                "model": "openai/gpt-4o-mini",
+                "api_key": "sk-test-2",
+                "api_base": "https://example.invalid",
+            },
+            "model_info": {"id": "deploy-2"},
+        },
+        {
+            "model_name": "other-model",
+            "litellm_params": {
+                "model": "openai/gpt-4o",
+                "api_key": "sk-test-3",
+                "api_base": "https://example.invalid",
+            },
+            "model_info": {"id": "deploy-3"},
+        },
+    ]
+
+
+def _build_router(routing_strategy="simple-shuffle", routing_groups=None):
+    return Router(
+        model_list=_model_list(),
+        routing_strategy=routing_strategy,
+        routing_groups=routing_groups,
+    )
+
+
+def test_no_groups_uses_top_level_strategy_for_all_models():
+    router = _build_router(routing_strategy="latency-based-routing")
+    assert router._get_routing_context("filtered-model")[0] == "latency-based-routing"
+    assert router._get_routing_context("other-model")[0] == "latency-based-routing"
+
+
+def test_explicit_group_overrides_top_level():
+    router = _build_router(
+        routing_strategy="simple-shuffle",
+        routing_groups=[
+            {
+                "group_name": "fast",
+                "models": ["filtered-model"],
+                "routing_strategy": "latency-based-routing",
+            }
+        ],
+    )
+    strategy, selector = router._get_routing_context("filtered-model")
+    assert strategy == "latency-based-routing"
+    assert selector is not None
+    # other-model isn't in any explicit group, so it lands in the default fallback
+    strategy_other, _ = router._get_routing_context("other-model")
+    assert strategy_other == "simple-shuffle"
+
+
+def test_default_group_is_simple_shuffle_when_top_level_strategy_unset():
+    router = _build_router()
+    strategy, selector = router._get_routing_context("other-model")
+    assert strategy == "simple-shuffle"
+    # simple-shuffle does not use a selector
+    assert selector is None
+
+
+def test_two_groups_same_strategy_have_independent_selectors():
+    router = _build_router(
+        routing_strategy="simple-shuffle",
+        routing_groups=[
+            {
+                "group_name": "group_a",
+                "models": ["filtered-model"],
+                "routing_strategy": "latency-based-routing",
+                "routing_strategy_args": {"ttl": 60},
+            },
+            {
+                "group_name": "group_b",
+                "models": ["other-model"],
+                "routing_strategy": "latency-based-routing",
+                "routing_strategy_args": {"ttl": 600},
+            },
+        ],
+    )
+    a_selector = router._group_selectors["group_a"]["latency-based-routing"]
+    b_selector = router._group_selectors["group_b"]["latency-based-routing"]
+    assert a_selector is not None and b_selector is not None
+    assert id(a_selector) != id(b_selector)
+
+
+def test_overlapping_models_across_groups_raises():
+    with pytest.raises(ValueError, match="appears in"):
+        _build_router(
+            routing_groups=[
+                {
+                    "group_name": "g1",
+                    "models": ["filtered-model"],
+                    "routing_strategy": "latency-based-routing",
+                },
+                {
+                    "group_name": "g2",
+                    "models": ["filtered-model"],
+                    "routing_strategy": "least-busy",
+                },
+            ],
+        )
+
+
+def test_reserved_default_group_name_raises():
+    with pytest.raises(ValueError, match="reserved"):
+        _build_router(
+            routing_groups=[
+                {
+                    "group_name": "default",
+                    "models": ["filtered-model"],
+                    "routing_strategy": "latency-based-routing",
+                }
+            ],
+        )
+
+
+def test_invalid_strategy_in_group_raises():
+    with pytest.raises(ValueError, match="Invalid routing_strategy"):
+        _build_router(
+            routing_groups=[
+                {
+                    "group_name": "g1",
+                    "models": ["filtered-model"],
+                    "routing_strategy": "not-a-real-strategy",
+                }
+            ],
+        )
+
+
+def test_unknown_model_in_group_warns_but_does_not_raise(caplog):
+    import logging
+
+    with caplog.at_level(logging.WARNING, logger="LiteLLM Router"):
+        router = _build_router(
+            routing_groups=[
+                {
+                    "group_name": "g1",
+                    "models": ["model-not-in-list"],
+                    "routing_strategy": "latency-based-routing",
+                }
+            ],
+        )
+    assert "model-not-in-list" in caplog.text
+    assert router._model_to_group.get("model-not-in-list") == "g1"
+
+
+def test_duplicate_group_name_raises():
+    with pytest.raises(ValueError, match="duplicate"):
+        _build_router(
+            routing_groups=[
+                {
+                    "group_name": "g1",
+                    "models": ["filtered-model"],
+                    "routing_strategy": "latency-based-routing",
+                },
+                {
+                    "group_name": "g1",
+                    "models": ["other-model"],
+                    "routing_strategy": "least-busy",
+                },
+            ],
+        )
+
+
+def test_routing_group_object_input_accepted():
+    router = _build_router(
+        routing_groups=[
+            RoutingGroup(
+                group_name="g1",
+                models=["filtered-model"],
+                routing_strategy="latency-based-routing",
+            )
+        ],
+    )
+    assert router._model_to_group["filtered-model"] == "g1"
+
+
+@pytest.mark.asyncio
+async def test_async_dispatch_uses_group_strategy_for_grouped_model():
+    router = _build_router(
+        routing_strategy="simple-shuffle",
+        routing_groups=[
+            {
+                "group_name": "fast",
+                "models": ["filtered-model"],
+                "routing_strategy": "latency-based-routing",
+            }
+        ],
+    )
+
+    group_selector = router._group_selectors["fast"]["latency-based-routing"]
+
+    with (
+        patch.object(
+            group_selector,
+            "async_get_available_deployments",
+            wraps=group_selector.async_get_available_deployments,
+        ) as latency_spy,
+        patch(
+            "litellm.router.simple_shuffle", wraps=litellm.router.simple_shuffle
+        ) as shuffle_spy,
+    ):
+        await router.async_get_available_deployment(
+            model="filtered-model", request_kwargs={}
+        )
+
+        assert (
+            latency_spy.called
+        ), "group's latency selector should run for grouped model"
+        assert not shuffle_spy.called
+
+
+@pytest.mark.asyncio
+async def test_async_dispatch_falls_back_to_default_for_ungrouped_models():
+    router = _build_router(
+        routing_strategy="simple-shuffle",
+        routing_groups=[
+            {
+                "group_name": "fast",
+                "models": ["filtered-model"],
+                "routing_strategy": "latency-based-routing",
+            }
+        ],
+    )
+
+    group_selector = router._group_selectors["fast"]["latency-based-routing"]
+
+    with (
+        patch.object(
+            group_selector,
+            "async_get_available_deployments",
+            wraps=group_selector.async_get_available_deployments,
+        ) as latency_spy,
+        patch(
+            "litellm.router.simple_shuffle", wraps=litellm.router.simple_shuffle
+        ) as shuffle_spy,
+    ):
+        await router.async_get_available_deployment(
+            model="other-model", request_kwargs={}
+        )
+
+        assert shuffle_spy.called, "default group's simple-shuffle should run"
+        assert not latency_spy.called
+
+
+def test_update_settings_round_trip_routing_groups():
+    router = _build_router()
+    assert router._model_to_group == {}
+
+    router.update_settings(
+        routing_groups=[
+            {
+                "group_name": "fast",
+                "models": ["filtered-model"],
+                "routing_strategy": "latency-based-routing",
+            }
+        ]
+    )
+    assert router._model_to_group == {"filtered-model": "fast"}
+    assert router._get_routing_context("filtered-model")[0] == "latency-based-routing"
+
+    settings = router.get_settings()
+    assert any(g["group_name"] == "fast" for g in settings["routing_groups"])
+
+
+def test_default_group_accepts_routing_strategy_enum_for_top_level_strategy():
+    """
+    The Router constructor accepts both string and RoutingStrategy enum forms.
+    The default group must resolve a real selector for either input shape, or
+    every ungrouped model raises NoDeploymentAvailable.
+    """
+    router = _build_router(routing_strategy=RoutingStrategy.LATENCY_BASED)
+    strategy, selector = router._get_routing_context("other-model")
+    assert strategy == "latency-based-routing"
+    assert selector is not None
+    assert router.lowestlatency_logger is selector
+
+
+@pytest.mark.asyncio
+async def test_async_dispatch_uses_default_selector_when_constructed_with_enum():
+    router = _build_router(routing_strategy=RoutingStrategy.LATENCY_BASED)
+    default_selector = router.lowestlatency_logger
+    assert default_selector is not None
+
+    # filtered-model has 2 deployments, so the single-deployment short-circuit
+    # in async_get_available_deployment doesn't kick in and we actually hit
+    # the latency selector.
+    with (
+        patch.object(
+            default_selector,
+            "async_get_available_deployments",
+            wraps=default_selector.async_get_available_deployments,
+        ) as latency_spy,
+        patch(
+            "litellm.router.simple_shuffle", wraps=litellm.router.simple_shuffle
+        ) as shuffle_spy,
+    ):
+        await router.async_get_available_deployment(
+            model="filtered-model", request_kwargs={}
+        )
+
+        assert (
+            latency_spy.called
+        ), "default group's latency selector must run when constructed with the enum"
+        assert not shuffle_spy.called
+
+
+def test_update_settings_does_not_leak_strategy_callbacks(monkeypatch):
+    """
+    Repeated `update_settings` calls must not accumulate stale selectors in
+    `litellm.callbacks` / `litellm.input_callback`. Each rebuild owns the
+    previous generation and is responsible for unregistering it by identity
+    so the global lists don't grow without bound.
+    """
+    monkeypatch.setattr(litellm, "callbacks", [])
+    monkeypatch.setattr(litellm, "input_callback", [])
+
+    router = _build_router(routing_strategy="latency-based-routing")
+    initial_default_selector = router.lowestlatency_logger
+    assert initial_default_selector is not None
+    assert any(
+        c is initial_default_selector for c in litellm.callbacks
+    ), "fresh router should register its default selector"
+
+    # Flip strategies back and forth — each transition triggers
+    # routing_strategy_init and must replace, not accumulate.
+    for _ in range(3):
+        router.update_settings(routing_strategy="usage-based-routing")
+        router.update_settings(routing_strategy="latency-based-routing")
+
+    assert all(
+        c is not initial_default_selector for c in litellm.callbacks
+    ), "old default selector instance leaked into litellm.callbacks"
+
+    # The set of router-owned selectors should be bounded — at most one per
+    # strategy class. Without the cleanup fix this grows by one per toggle.
+    router_owned_classes = (
+        "LeastBusyLoggingHandler",
+        "LowestTPMLoggingHandler",
+        "LowestTPMLoggingHandler_v2",
+        "LowestLatencyLoggingHandler",
+        "LowestCostLoggingHandler",
+    )
+    router_owned = [
+        c for c in litellm.callbacks if type(c).__name__ in router_owned_classes
+    ]
+    assert len(router_owned) <= len(
+        router_owned_classes
+    ), f"router selectors leaked: {[type(c).__name__ for c in router_owned]}"
+
+    # Group selectors: capture the v1 instance, swap, confirm v1 is gone by id.
+    router.update_settings(
+        routing_groups=[
+            {
+                "group_name": "fast",
+                "models": ["filtered-model"],
+                "routing_strategy": "latency-based-routing",
+            }
+        ]
+    )
+    group_selector_v1 = router._group_selectors["fast"]["latency-based-routing"]
+    assert group_selector_v1 is not None
+
+    router.update_settings(
+        routing_groups=[
+            {
+                "group_name": "fast",
+                "models": ["filtered-model"],
+                "routing_strategy": "latency-based-routing",
+                "routing_strategy_args": {"ttl": 600},
+            }
+        ]
+    )
+    assert all(
+        c is not group_selector_v1 for c in litellm.callbacks
+    ), "old group selector instance leaked into litellm.callbacks"
+    group_selector_v2 = router._group_selectors["fast"]["latency-based-routing"]
+    assert group_selector_v2 is not group_selector_v1
+
+
+def test_update_settings_unregisters_group_selectors_when_groups_removed(monkeypatch):
+    """
+    Setting routing_groups to an empty list (or omitting all groups) must
+    unregister every previously-owned group selector.
+    """
+    monkeypatch.setattr(litellm, "callbacks", [])
+    monkeypatch.setattr(litellm, "input_callback", [])
+
+    router = _build_router(
+        routing_groups=[
+            {
+                "group_name": "fast",
+                "models": ["filtered-model"],
+                "routing_strategy": "least-busy",
+            }
+        ]
+    )
+    group_selector = router._group_selectors["fast"]["least-busy"]
+    assert group_selector in litellm.callbacks
+    assert group_selector in litellm.input_callback
+
+    router.update_settings(routing_groups=[])
+
+    assert all(c is not group_selector for c in litellm.callbacks)
+    assert all(c is not group_selector for c in litellm.input_callback)
+    assert router._group_selectors == {}
+
+
+# ---------------------------------------------------------------------------
+# Direct helper coverage
+# ---------------------------------------------------------------------------
+
+
+def test_normalize_strategy_handles_string_enum_and_none():
+    assert Router._normalize_strategy(None) is None
+    assert Router._normalize_strategy("simple-shuffle") == "simple-shuffle"
+    assert (
+        Router._normalize_strategy(RoutingStrategy.LATENCY_BASED)
+        == RoutingStrategy.LATENCY_BASED.value
+    )
+
+
+def test_validate_routing_strategy_accepts_valid_and_rejects_invalid():
+    router = _build_router()
+    # Valid: string, enum, None
+    router._validate_routing_strategy("simple-shuffle")
+    router._validate_routing_strategy(RoutingStrategy.LATENCY_BASED)
+    router._validate_routing_strategy(None)
+    with pytest.raises(ValueError, match="Invalid routing_strategy"):
+        router._validate_routing_strategy("not-a-real-strategy")
+
+
+def test_build_strategy_selector_returns_none_for_simple_shuffle(monkeypatch):
+    monkeypatch.setattr(litellm, "callbacks", [])
+    monkeypatch.setattr(litellm, "input_callback", [])
+    router = _build_router()
+    assert (
+        router._build_strategy_selector(
+            strategy="simple-shuffle",
+            routing_strategy_args={},
+            register_callbacks=False,
+        )
+        is None
+    )
+
+
+def test_build_strategy_selector_constructs_for_known_strategies(monkeypatch):
+    monkeypatch.setattr(litellm, "callbacks", [])
+    monkeypatch.setattr(litellm, "input_callback", [])
+    router = _build_router()
+    selector = router._build_strategy_selector(
+        strategy="latency-based-routing",
+        routing_strategy_args={"ttl": 30},
+        register_callbacks=False,
+    )
+    assert selector is not None
+
+
+def test_unregister_router_selectors_removes_by_identity(monkeypatch):
+    monkeypatch.setattr(litellm, "callbacks", [])
+    monkeypatch.setattr(litellm, "input_callback", [])
+    router = _build_router()
+    selector = router._build_strategy_selector(
+        strategy="least-busy",
+        routing_strategy_args={},
+        register_callbacks=True,
+    )
+    assert selector in litellm.callbacks
+    assert selector in litellm.input_callback
+    router._unregister_router_selectors([selector])
+    assert all(c is not selector for c in litellm.callbacks)
+    assert all(c is not selector for c in litellm.input_callback)
+
+
+def test_init_routing_groups_with_none_clears_state():
+    router = _build_router(
+        routing_groups=[
+            {
+                "group_name": "fast",
+                "models": ["filtered-model"],
+                "routing_strategy": "least-busy",
+            }
+        ]
+    )
+    assert router._routing_groups
+    router._init_routing_groups(None)
+    assert router._routing_groups == {}
+    assert router._model_to_group == {}
+    assert router._group_selectors == {}
+
+
+@pytest.mark.asyncio
+async def test_select_deployment_async_returns_none_without_selector():
+    router = _build_router()
+    result = await router._select_deployment_async(
+        strategy="simple-shuffle",
+        selector=None,
+        model="filtered-model",
+        healthy_deployments=[],
+        messages=None,
+        input=None,
+        request_kwargs=None,
+    )
+    assert result is None
+
+
+def test_select_deployment_sync_returns_none_without_selector():
+    router = _build_router()
+    result = router._select_deployment_sync(
+        strategy="simple-shuffle",
+        selector=None,
+        model="filtered-model",
+        healthy_deployments=[],
+        messages=None,
+        input=None,
+        request_kwargs=None,
+    )
+    assert result is None
+
+
+def test_select_deployment_sync_does_not_dispatch_cost_based_routing():
+    """
+    `LowestCostLoggingHandler` only implements `async_get_available_deployments`,
+    so the sync dispatch must fall through to None for `cost-based-routing`
+    instead of raising AttributeError.
+    """
+    router = _build_router(
+        routing_strategy="simple-shuffle",
+        routing_groups=[
+            {
+                "group_name": "cheap",
+                "models": ["filtered-model"],
+                "routing_strategy": "cost-based-routing",
+            }
+        ],
+    )
+    cost_selector = router._group_selectors["cheap"]["cost-based-routing"]
+    assert not hasattr(cost_selector, "get_available_deployments"), (
+        "test premise broken: LowestCostLoggingHandler unexpectedly grew a "
+        "sync method — revisit the sync dispatch arm."
+    )
+
+    result = router._select_deployment_sync(
+        strategy="cost-based-routing",
+        selector=cost_selector,
+        model="filtered-model",
+        healthy_deployments=[],
+        messages=None,
+        input=None,
+        request_kwargs=None,
+    )
+    assert result is None
+
+
+@pytest.mark.asyncio
+async def test_async_dispatch_falls_back_to_sync_for_usage_based_routing_v1():
+    """
+    `LowestTPMLoggingHandler` (v1) only implements the sync
+    `get_available_deployments`. The async dispatch must call the sync method
+    on the v1 selector instead of awaiting a non-existent async one.
+    """
+    router = _build_router(
+        routing_strategy="simple-shuffle",
+        routing_groups=[
+            {
+                "group_name": "v1",
+                "models": ["filtered-model"],
+                "routing_strategy": "usage-based-routing",
+            }
+        ],
+    )
+    v1_selector = router._group_selectors["v1"]["usage-based-routing"]
+    assert not hasattr(v1_selector, "async_get_available_deployments"), (
+        "test premise broken: LowestTPMLoggingHandler v1 unexpectedly grew an "
+        "async method — revisit the async dispatch arm."
+    )
+
+    with patch.object(
+        v1_selector,
+        "get_available_deployments",
+        wraps=v1_selector.get_available_deployments,
+    ) as v1_spy:
+        await router._select_deployment_async(
+            strategy="usage-based-routing",
+            selector=v1_selector,
+            model="filtered-model",
+            healthy_deployments=[
+                {
+                    "model_name": "filtered-model",
+                    "litellm_params": {"model": "openai/gpt-4o"},
+                    "model_info": {"id": "deploy-1"},
+                }
+            ],
+            messages=[{"role": "user", "content": "hi"}],
+            input=None,
+            request_kwargs={},
+        )
+
+    assert v1_spy.called, "async dispatch must route v1 strategy through sync method"
diff --git a/tests/test_litellm/secret_managers/test_secret_managers_main.py b/tests/test_litellm/secret_managers/test_secret_managers_main.py
index 6d0e33b3e28..b406231804b 100644
--- a/tests/test_litellm/secret_managers/test_secret_managers_main.py
+++ b/tests/test_litellm/secret_managers/test_secret_managers_main.py
@@ -4,7 +4,7 @@ from unittest.mock import Mock, patch
 
 import pytest
 
-from litellm.secret_managers.main import get_secret
+from litellm.secret_managers.main import get_secret, normalize_nonempty_secret_str
 
 # Set up logging for debugging
 logging.basicConfig(level=logging.DEBUG)
@@ -253,3 +253,17 @@ def test_unsupported_oidc_provider():
 
     with pytest.raises(ValueError, match="Unsupported OIDC provider"):
         get_secret(secret_name)
+
+
+@pytest.mark.parametrize(
+    ("raw", "expected"),
+    [
+        (None, None),
+        ("", None),
+        ("   \t\n", None),
+        ("abc", "abc"),
+        ("  xyz  ", "xyz"),
+    ],
+)
+def test_normalize_nonempty_secret_str(raw, expected):
+    assert normalize_nonempty_secret_str(raw) == expected
diff --git a/tests/test_litellm/test_utils.py b/tests/test_litellm/test_utils.py
index f28fe3ed258..65305e1a81e 100644
--- a/tests/test_litellm/test_utils.py
+++ b/tests/test_litellm/test_utils.py
@@ -852,6 +852,7 @@ def test_aaamodel_prices_and_context_window_json_is_valid():
                 "supports_none_reasoning_effort": {"type": "boolean"},
                 "supports_xhigh_reasoning_effort": {"type": "boolean"},
                 "supports_max_reasoning_effort": {"type": "boolean"},
+                "supports_adaptive_thinking": {"type": "boolean"},
                 "supports_service_tier": {"type": "boolean"},
                 "supports_preset": {"type": "boolean"},
                 "tool_use_system_prompt_tokens": {"type": "number"},
@@ -2904,9 +2905,9 @@ def test_gemini_embedding_2_ga_in_cost_map():
         assert info.get("input_cost_per_audio_per_second") == 0.00016
         assert info.get("input_cost_per_video_per_second") == 0.00079
         if provider in ("vertex_ai-embedding-models", "vertex_ai"):
-            assert info.get("uses_embed_content") is True, (
-                f"{key} must have uses_embed_content=true for correct Vertex AI routing"
-            )
+            assert (
+                info.get("uses_embed_content") is True
+            ), f"{key} must have uses_embed_content=true for correct Vertex AI routing"
 
 
 def test_gemini_lyria_3_preview_models_in_cost_map():
diff --git a/ui/litellm-dashboard/.nvmrc b/ui/litellm-dashboard/.nvmrc
new file mode 100644
index 00000000000..209e3ef4b62
--- /dev/null
+++ b/ui/litellm-dashboard/.nvmrc
@@ -0,0 +1 @@
+20
diff --git a/ui/litellm-dashboard/package-lock.json b/ui/litellm-dashboard/package-lock.json
index 44299225760..ca4e469de08 100644
--- a/ui/litellm-dashboard/package-lock.json
+++ b/ui/litellm-dashboard/package-lock.json
@@ -8,12 +8,12 @@
       "name": "litellm-dashboard",
       "version": "0.1.0",
       "dependencies": {
-        "@anthropic-ai/sdk": "0.54.0",
+        "@anthropic-ai/sdk": "0.92.0",
         "@headlessui/tailwindcss": "0.2.2",
         "@heroicons/react": "1.0.6",
         "@remixicon/react": "4.9.0",
         "@tanstack/react-pacer": "0.2.0",
-        "@tanstack/react-query": "5.90.20",
+        "@tanstack/react-query": "5.100.7",
         "@tanstack/react-table": "8.21.3",
         "@tremor/react": "3.18.7",
         "@types/papaparse": "5.5.2",
@@ -23,18 +23,18 @@
         "jwt-decode": "4.0.0",
         "lucide-react": "0.513.0",
         "moment": "2.30.1",
-        "next": "16.1.7",
+        "next": "16.2.4",
         "openai": "4.104.0",
         "papaparse": "5.5.3",
         "react": "18.3.1",
-        "react-copy-to-clipboard": "5.1.0",
+        "react-copy-to-clipboard": "5.1.1",
         "react-dom": "18.3.1",
         "react-json-view-lite": "2.5.0",
         "react-markdown": "9.1.0",
         "react-syntax-highlighter": "15.6.6",
         "remark-gfm": "4.0.1",
         "tailwind-merge": "3.4.0",
-        "uuid": "11.1.0"
+        "uuid": "14.0.0"
       },
       "devDependencies": {
         "@playwright/test": "1.58.1",
@@ -61,7 +61,7 @@
         "eslint-plugin-unused-imports": "4.3.0",
         "jsdom": "27.4.0",
         "knip": "5.83.1",
-        "postcss": "8.5.6",
+        "postcss": "8.5.13",
         "prettier": "3.2.5",
         "tailwindcss": "3.4.19",
         "typescript": "5.9.3",
@@ -69,7 +69,7 @@
         "vitest": "3.2.4"
       },
       "engines": {
-        "node": ">=18.17.0",
+        "node": ">=20.9.0",
         "npm": ">=8.3.0"
       }
     },
@@ -211,12 +211,23 @@
       }
     },
     "node_modules/@anthropic-ai/sdk": {
-      "version": "0.54.0",
-      "resolved": "https://registry.npmjs.org/@anthropic-ai/sdk/-/sdk-0.54.0.tgz",
-      "integrity": "sha512-xyoCtHJnt/qg5GG6IgK+UJEndz8h8ljzt/caKXmq3LfBF81nC/BW6E4x2rOWCZcvsLyVW+e8U5mtIr6UCE/kJw==",
+      "version": "0.92.0",
+      "resolved": "https://registry.npmjs.org/@anthropic-ai/sdk/-/sdk-0.92.0.tgz",
+      "integrity": "sha512-l653JFC83wCglH8H83t1xpgDurCyPyslYW1maPRdCsfuNuGbLvQjQ81sWd3Go3LWRm0jNspzAhuqAYV8r9joSw==",
       "license": "MIT",
+      "dependencies": {
+        "json-schema-to-ts": "^3.1.1"
+      },
       "bin": {
         "anthropic-ai-sdk": "bin/cli"
+      },
+      "peerDependencies": {
+        "zod": "^3.25.0 || ^4.0.0"
+      },
+      "peerDependenciesMeta": {
+        "zod": {
+          "optional": true
+        }
       }
     },
     "node_modules/@asamuzakjp/css-color": {
@@ -1817,9 +1828,9 @@
       }
     },
     "node_modules/@next/env": {
-      "version": "16.1.7",
-      "resolved": "https://registry.npmjs.org/@next/env/-/env-16.1.7.tgz",
-      "integrity": "sha512-rJJbIdJB/RQr2F1nylZr/PJzamvNNhfr3brdKP6s/GW850jbtR70QlSfFselvIBbcPUOlQwBakexjFzqLzF6pg==",
+      "version": "16.2.4",
+      "resolved": "https://registry.npmjs.org/@next/env/-/env-16.2.4.tgz",
+      "integrity": "sha512-dKkkOzOSwFYe5RX6y26fZgkSpVAlIOJKQHIiydQcrWH6y/97+RceSOAdjZ14Qa3zLduVUy0TXcn+EiM6t4rPgw==",
       "license": "MIT"
     },
     "node_modules/@next/eslint-plugin-next": {
@@ -1833,9 +1844,9 @@
       }
     },
     "node_modules/@next/swc-darwin-arm64": {
-      "version": "16.1.7",
-      "resolved": "https://registry.npmjs.org/@next/swc-darwin-arm64/-/swc-darwin-arm64-16.1.7.tgz",
-      "integrity": "sha512-b2wWIE8sABdyafc4IM8r5Y/dS6kD80JRtOGrUiKTsACFQfWWgUQ2NwoUX1yjFMXVsAwcQeNpnucF2ZrujsBBPg==",
+      "version": "16.2.4",
+      "resolved": "https://registry.npmjs.org/@next/swc-darwin-arm64/-/swc-darwin-arm64-16.2.4.tgz",
+      "integrity": "sha512-OXTFFox5EKN1Ym08vfrz+OXxmCcEjT4SFMbNRsWZE99dMqt2Kcusl5MqPXcW232RYkMLQTy0hqgAMEsfEd/l2A==",
       "cpu": [
         "arm64"
       ],
@@ -1849,9 +1860,9 @@
       }
     },
     "node_modules/@next/swc-darwin-x64": {
-      "version": "16.1.7",
-      "resolved": "https://registry.npmjs.org/@next/swc-darwin-x64/-/swc-darwin-x64-16.1.7.tgz",
-      "integrity": "sha512-zcnVaaZulS1WL0Ss38R5Q6D2gz7MtBu8GZLPfK+73D/hp4GFMrC2sudLky1QibfV7h6RJBJs/gOFvYP0X7UVlQ==",
+      "version": "16.2.4",
+      "resolved": "https://registry.npmjs.org/@next/swc-darwin-x64/-/swc-darwin-x64-16.2.4.tgz",
+      "integrity": "sha512-XhpVnUfmYWvD3YrXu55XdcAkQtOnvaI6wtQa8fuF5fGoKoxIUZ0kWPtcOfqJEWngFF/lOS9l3+O9CcownhiQxQ==",
       "cpu": [
         "x64"
       ],
@@ -1865,12 +1876,15 @@
       }
     },
     "node_modules/@next/swc-linux-arm64-gnu": {
-      "version": "16.1.7",
-      "resolved": "https://registry.npmjs.org/@next/swc-linux-arm64-gnu/-/swc-linux-arm64-gnu-16.1.7.tgz",
-      "integrity": "sha512-2ant89Lux/Q3VyC8vNVg7uBaFVP9SwoK2jJOOR0L8TQnX8CAYnh4uctAScy2Hwj2dgjVHqHLORQZJ2wH6VxhSQ==",
+      "version": "16.2.4",
+      "resolved": "https://registry.npmjs.org/@next/swc-linux-arm64-gnu/-/swc-linux-arm64-gnu-16.2.4.tgz",
+      "integrity": "sha512-Mx/tjlNA3G8kg14QvuGAJ4xBwPk1tUHq56JxZ8CXnZwz1Etz714soCEzGQQzVMz4bEnGPowzkV6Xrp6wAkEWOQ==",
       "cpu": [
         "arm64"
       ],
+      "libc": [
+        "glibc"
+      ],
       "license": "MIT",
       "optional": true,
       "os": [
@@ -1881,12 +1895,15 @@
       }
     },
     "node_modules/@next/swc-linux-arm64-musl": {
-      "version": "16.1.7",
-      "resolved": "https://registry.npmjs.org/@next/swc-linux-arm64-musl/-/swc-linux-arm64-musl-16.1.7.tgz",
-      "integrity": "sha512-uufcze7LYv0FQg9GnNeZ3/whYfo+1Q3HnQpm16o6Uyi0OVzLlk2ZWoY7j07KADZFY8qwDbsmFnMQP3p3+Ftprw==",
+      "version": "16.2.4",
+      "resolved": "https://registry.npmjs.org/@next/swc-linux-arm64-musl/-/swc-linux-arm64-musl-16.2.4.tgz",
+      "integrity": "sha512-iVMMp14514u7Nup2umQS03nT/bN9HurK8ufylC3FZNykrwjtx7V1A7+4kvhbDSCeonTVqV3Txnv0Lu+m2oDXNg==",
       "cpu": [
         "arm64"
       ],
+      "libc": [
+        "musl"
+      ],
       "license": "MIT",
       "optional": true,
       "os": [
@@ -1897,12 +1914,15 @@
       }
     },
     "node_modules/@next/swc-linux-x64-gnu": {
-      "version": "16.1.7",
-      "resolved": "https://registry.npmjs.org/@next/swc-linux-x64-gnu/-/swc-linux-x64-gnu-16.1.7.tgz",
-      "integrity": "sha512-KWVf2gxYvHtvuT+c4MBOGxuse5TD7DsMFYSxVxRBnOzok/xryNeQSjXgxSv9QpIVlaGzEn/pIuI6Koosx8CGWA==",
+      "version": "16.2.4",
+      "resolved": "https://registry.npmjs.org/@next/swc-linux-x64-gnu/-/swc-linux-x64-gnu-16.2.4.tgz",
+      "integrity": "sha512-EZOvm1aQWgnI/N/xcWOlnS3RQBk0VtVav5Zo7n4p0A7UKyTDx047k8opDbXgBpHl4CulRqRfbw3QrX2w5UOXMQ==",
       "cpu": [
         "x64"
       ],
+      "libc": [
+        "glibc"
+      ],
       "license": "MIT",
       "optional": true,
       "os": [
@@ -1913,12 +1933,15 @@
       }
     },
     "node_modules/@next/swc-linux-x64-musl": {
-      "version": "16.1.7",
-      "resolved": "https://registry.npmjs.org/@next/swc-linux-x64-musl/-/swc-linux-x64-musl-16.1.7.tgz",
-      "integrity": "sha512-HguhaGwsGr1YAGs68uRKc4aGWxLET+NevJskOcCAwXbwj0fYX0RgZW2gsOCzr9S11CSQPIkxmoSbuVaBp4Z3dA==",
+      "version": "16.2.4",
+      "resolved": "https://registry.npmjs.org/@next/swc-linux-x64-musl/-/swc-linux-x64-musl-16.2.4.tgz",
+      "integrity": "sha512-h9FxsngCm9cTBf71AR4fGznDEDx1hS7+kSEiIRjq5kO1oXWm07DxVGZjCvk0SGx7TSjlUqhI8oOyz7NfwAdPoA==",
       "cpu": [
         "x64"
       ],
+      "libc": [
+        "musl"
+      ],
       "license": "MIT",
       "optional": true,
       "os": [
@@ -1929,9 +1952,9 @@
       }
     },
     "node_modules/@next/swc-win32-arm64-msvc": {
-      "version": "16.1.7",
-      "resolved": "https://registry.npmjs.org/@next/swc-win32-arm64-msvc/-/swc-win32-arm64-msvc-16.1.7.tgz",
-      "integrity": "sha512-S0n3KrDJokKTeFyM/vGGGR8+pCmXYrjNTk2ZozOL1C/JFdfUIL9O1ATaJOl5r2POe56iRChbsszrjMAdWSv7kQ==",
+      "version": "16.2.4",
+      "resolved": "https://registry.npmjs.org/@next/swc-win32-arm64-msvc/-/swc-win32-arm64-msvc-16.2.4.tgz",
+      "integrity": "sha512-3NdJV5OXMSOeJYijX+bjaLge3mJBlh4ybydbT4GFoB/2hAojWHtMhl3CYlYoMrjPuodp0nzFVi4Tj2+WaMg+Ow==",
       "cpu": [
         "arm64"
       ],
@@ -1945,9 +1968,9 @@
       }
     },
     "node_modules/@next/swc-win32-x64-msvc": {
-      "version": "16.1.7",
-      "resolved": "https://registry.npmjs.org/@next/swc-win32-x64-msvc/-/swc-win32-x64-msvc-16.1.7.tgz",
-      "integrity": "sha512-mwgtg8CNZGYm06LeEd+bNnOUfwOyNem/rOiP14Lsz+AnUY92Zq/LXwtebtUiaeVkhbroRCQ0c8GlR4UT1U+0yg==",
+      "version": "16.2.4",
+      "resolved": "https://registry.npmjs.org/@next/swc-win32-x64-msvc/-/swc-win32-x64-msvc-16.2.4.tgz",
+      "integrity": "sha512-kMVGgsqhO5YTYODD9IPGGhA6iprWidQckK3LmPeW08PIFENRmgfb4MjXHO+p//d+ts2rpjvK5gXWzXSMrPl9cw==",
       "cpu": [
         "x64"
       ],
@@ -2981,9 +3004,9 @@
       }
     },
     "node_modules/@tanstack/query-core": {
-      "version": "5.90.20",
-      "resolved": "https://registry.npmjs.org/@tanstack/query-core/-/query-core-5.90.20.tgz",
-      "integrity": "sha512-OMD2HLpNouXEfZJWcKeVKUgQ5n+n3A2JFmBaScpNDUqSrQSjiveC7dKMe53uJUg1nDG16ttFPz2xfilz6i2uVg==",
+      "version": "5.100.7",
+      "resolved": "https://registry.npmjs.org/@tanstack/query-core/-/query-core-5.100.7.tgz",
+      "integrity": "sha512-5R7i6ENJLhVeeJrrUz7jKBXUXv/BJrxf9FQJSkR13bPrb3zOcE8A0Z0PxYCcsKPOsiIlTibrBL/zZbtUO1TFyQ==",
       "license": "MIT",
       "funding": {
         "type": "github",
@@ -3011,12 +3034,12 @@
       }
     },
     "node_modules/@tanstack/react-query": {
-      "version": "5.90.20",
-      "resolved": "https://registry.npmjs.org/@tanstack/react-query/-/react-query-5.90.20.tgz",
-      "integrity": "sha512-vXBxa+qeyveVO7OA0jX1z+DeyCA4JKnThKv411jd5SORpBKgkcVnYKCiBgECvADvniBX7tobwBmg01qq9JmMJw==",
+      "version": "5.100.7",
+      "resolved": "https://registry.npmjs.org/@tanstack/react-query/-/react-query-5.100.7.tgz",
+      "integrity": "sha512-LoISYWz8dOOuQbeIctF8K6yi42TWtR1WPGpwGuRUpF3u79JVVIg/PVR0MQdIA0VSHqD/ydf/b7PhKTkg3I4fLQ==",
       "license": "MIT",
       "dependencies": {
-        "@tanstack/query-core": "5.90.20"
+        "@tanstack/query-core": "5.100.7"
       },
       "funding": {
         "type": "github",
@@ -7872,6 +7895,19 @@
       "dev": true,
       "license": "MIT"
     },
+    "node_modules/json-schema-to-ts": {
+      "version": "3.1.1",
+      "resolved": "https://registry.npmjs.org/json-schema-to-ts/-/json-schema-to-ts-3.1.1.tgz",
+      "integrity": "sha512-+DWg8jCJG2TEnpy7kOm/7/AxaYoaRbjVB4LFZLySZlWn8exGs3A4OLJR966cVvU26N7X9TWxl+Jsw7dzAqKT6g==",
+      "license": "MIT",
+      "dependencies": {
+        "@babel/runtime": "^7.18.3",
+        "ts-algebra": "^2.0.0"
+      },
+      "engines": {
+        "node": ">=16"
+      }
+    },
     "node_modules/json-schema-traverse": {
       "version": "0.4.1",
       "resolved": "https://registry.npmjs.org/json-schema-traverse/-/json-schema-traverse-0.4.1.tgz",
@@ -9299,12 +9335,12 @@
       "license": "MIT"
     },
     "node_modules/next": {
-      "version": "16.1.7",
-      "resolved": "https://registry.npmjs.org/next/-/next-16.1.7.tgz",
-      "integrity": "sha512-WM0L7WrSvKwoLegLYr6V+mz+RIofqQgVAfHhMp9a88ms0cFX8iX9ew+snpWlSBwpkURJOUdvCEt3uLl3NNzvWg==",
+      "version": "16.2.4",
+      "resolved": "https://registry.npmjs.org/next/-/next-16.2.4.tgz",
+      "integrity": "sha512-kPvz56wF5frc+FxlHI5qnklCzbq53HTwORaWBGdT0vNoKh1Aya9XC8aPauH4NJxqtzbWsS5mAbctm4cr+EkQ2Q==",
       "license": "MIT",
       "dependencies": {
-        "@next/env": "16.1.7",
+        "@next/env": "16.2.4",
         "@swc/helpers": "0.5.15",
         "baseline-browser-mapping": "^2.9.19",
         "caniuse-lite": "^1.0.30001579",
@@ -9318,15 +9354,15 @@
         "node": ">=20.9.0"
       },
       "optionalDependencies": {
-        "@next/swc-darwin-arm64": "16.1.7",
-        "@next/swc-darwin-x64": "16.1.7",
-        "@next/swc-linux-arm64-gnu": "16.1.7",
-        "@next/swc-linux-arm64-musl": "16.1.7",
-        "@next/swc-linux-x64-gnu": "16.1.7",
-        "@next/swc-linux-x64-musl": "16.1.7",
-        "@next/swc-win32-arm64-msvc": "16.1.7",
-        "@next/swc-win32-x64-msvc": "16.1.7",
-        "sharp": "^0.34.4"
+        "@next/swc-darwin-arm64": "16.2.4",
+        "@next/swc-darwin-x64": "16.2.4",
+        "@next/swc-linux-arm64-gnu": "16.2.4",
+        "@next/swc-linux-arm64-musl": "16.2.4",
+        "@next/swc-linux-x64-gnu": "16.2.4",
+        "@next/swc-linux-x64-musl": "16.2.4",
+        "@next/swc-win32-arm64-msvc": "16.2.4",
+        "@next/swc-win32-x64-msvc": "16.2.4",
+        "sharp": "^0.34.5"
       },
       "peerDependencies": {
         "@opentelemetry/api": "^1.1.0",
@@ -9360,34 +9396,6 @@
         "tslib": "^2.8.0"
       }
     },
-    "node_modules/next/node_modules/postcss": {
-      "version": "8.4.31",
-      "resolved": "https://registry.npmjs.org/postcss/-/postcss-8.4.31.tgz",
-      "integrity": "sha512-PS08Iboia9mts/2ygV3eLpY5ghnUcfLV/EXTOW1E2qYxJKGGBUtNjN76FYHnMs36RmARn41bC0AZmn+rR0OVpQ==",
-      "funding": [
-        {
-          "type": "opencollective",
-          "url": "https://opencollective.com/postcss/"
-        },
-        {
-          "type": "tidelift",
-          "url": "https://tidelift.com/funding/github/npm/postcss"
-        },
-        {
-          "type": "github",
-          "url": "https://github.com/sponsors/ai"
-        }
-      ],
-      "license": "MIT",
-      "dependencies": {
-        "nanoid": "^3.3.6",
-        "picocolors": "^1.0.0",
-        "source-map-js": "^1.0.2"
-      },
-      "engines": {
-        "node": "^10 || ^12 || >=14"
-      }
-    },
     "node_modules/node-domexception": {
       "version": "1.0.0",
       "resolved": "https://registry.npmjs.org/node-domexception/-/node-domexception-1.0.0.tgz",
@@ -9938,9 +9946,9 @@
       }
     },
     "node_modules/postcss": {
-      "version": "8.5.6",
-      "resolved": "https://registry.npmjs.org/postcss/-/postcss-8.5.6.tgz",
-      "integrity": "sha512-3Ybi1tAuwAP9s0r1UQ2J4n5Y0G05bJkpUIO0/bI9MhwmD70S5aTWbXGBwxHrelT+XM1k6dM0pk+SwNkpTRN7Pg==",
+      "version": "8.5.13",
+      "resolved": "https://registry.npmjs.org/postcss/-/postcss-8.5.13.tgz",
+      "integrity": "sha512-qif0+jGGZoLWdHey3UFHHWP0H7Gbmsk8T5VEqyYFbWqPr1XqvLGBbk/sl8V5exGmcYJklJOhOQq1pV9IcsiFag==",
       "funding": [
         {
           "type": "opencollective",
@@ -10838,16 +10846,16 @@
       }
     },
     "node_modules/react-copy-to-clipboard": {
-      "version": "5.1.0",
-      "resolved": "https://registry.npmjs.org/react-copy-to-clipboard/-/react-copy-to-clipboard-5.1.0.tgz",
-      "integrity": "sha512-k61RsNgAayIJNoy9yDsYzDe/yAZAzEbEgcz3DZMhF686LEyukcE1hzurxe85JandPUG+yTfGVFzuEw3xt8WP/A==",
+      "version": "5.1.1",
+      "resolved": "https://registry.npmjs.org/react-copy-to-clipboard/-/react-copy-to-clipboard-5.1.1.tgz",
+      "integrity": "sha512-s+HrzLyJBxrpGTYXF15dTgMjAJpEPZT/Yp6NytAtZMRngejxt6Pt5WrfFxLAcsqUDU6sY1Jz6tyHwIicE1U2Xg==",
       "license": "MIT",
       "dependencies": {
-        "copy-to-clipboard": "^3.3.1",
+        "copy-to-clipboard": "^3.3.3",
         "prop-types": "^15.8.1"
       },
       "peerDependencies": {
-        "react": "^15.3.0 || 16 || 17 || 18"
+        "react": ">=15.3.0"
       }
     },
     "node_modules/react-day-picker": {
@@ -12374,6 +12382,12 @@
         "url": "https://github.com/sponsors/wooorm"
       }
     },
+    "node_modules/ts-algebra": {
+      "version": "2.0.0",
+      "resolved": "https://registry.npmjs.org/ts-algebra/-/ts-algebra-2.0.0.tgz",
+      "integrity": "sha512-FPAhNPFMrkwz76P7cdjdmiShwMynZYN6SgOujD1urY4oNm80Ou9oMdmbR45LotcKOXoy7wSmHkRFE6Mxbrhefw==",
+      "license": "MIT"
+    },
     "node_modules/ts-api-utils": {
       "version": "2.4.0",
       "resolved": "https://registry.npmjs.org/ts-api-utils/-/ts-api-utils-2.4.0.tgz",
@@ -12712,16 +12726,16 @@
       "license": "MIT"
     },
     "node_modules/uuid": {
-      "version": "11.1.0",
-      "resolved": "https://registry.npmjs.org/uuid/-/uuid-11.1.0.tgz",
-      "integrity": "sha512-0/A9rDy9P7cJ+8w1c9WD9V//9Wj15Ce2MPz8Ri6032usz+NfePxx5AcN3bN+r6ZL6jEo066/yNYB3tn4pQEx+A==",
+      "version": "14.0.0",
+      "resolved": "https://registry.npmjs.org/uuid/-/uuid-14.0.0.tgz",
+      "integrity": "sha512-Qo+uWgilfSmAhXCMav1uYFynlQO7fMFiMVZsQqZRMIXp0O7rR7qjkj+cPvBHLgBqi960QCoo/PH2/6ZtVqKvrg==",
       "funding": [
         "https://github.com/sponsors/broofa",
         "https://github.com/sponsors/ctavan"
       ],
       "license": "MIT",
       "bin": {
-        "uuid": "dist/esm/bin/uuid"
+        "uuid": "dist-node/bin/uuid"
       }
     },
     "node_modules/vfile": {
diff --git a/ui/litellm-dashboard/package.json b/ui/litellm-dashboard/package.json
index 357d46b68a9..32c00ac62a8 100644
--- a/ui/litellm-dashboard/package.json
+++ b/ui/litellm-dashboard/package.json
@@ -20,12 +20,12 @@
     "knip:fix": "knip --fix"
   },
   "dependencies": {
-    "@anthropic-ai/sdk": "0.54.0",
+    "@anthropic-ai/sdk": "0.92.0",
     "@headlessui/tailwindcss": "0.2.2",
     "@heroicons/react": "1.0.6",
     "@remixicon/react": "4.9.0",
     "@tanstack/react-pacer": "0.2.0",
-    "@tanstack/react-query": "5.90.20",
+    "@tanstack/react-query": "5.100.7",
     "@tanstack/react-table": "8.21.3",
     "@tremor/react": "3.18.7",
     "@types/papaparse": "5.5.2",
@@ -35,18 +35,18 @@
     "jwt-decode": "4.0.0",
     "lucide-react": "0.513.0",
     "moment": "2.30.1",
-    "next": "16.1.7",
+    "next": "16.2.4",
     "openai": "4.104.0",
     "papaparse": "5.5.3",
     "react": "18.3.1",
-    "react-copy-to-clipboard": "5.1.0",
+    "react-copy-to-clipboard": "5.1.1",
     "react-dom": "18.3.1",
     "react-json-view-lite": "2.5.0",
     "react-markdown": "9.1.0",
     "react-syntax-highlighter": "15.6.6",
     "remark-gfm": "4.0.1",
     "tailwind-merge": "3.4.0",
-    "uuid": "11.1.0"
+    "uuid": "14.0.0"
   },
   "devDependencies": {
     "@playwright/test": "1.58.1",
@@ -73,7 +73,7 @@
     "eslint-plugin-unused-imports": "4.3.0",
     "jsdom": "27.4.0",
     "knip": "5.83.1",
-    "postcss": "8.5.6",
+    "postcss": "8.5.13",
     "prettier": "3.2.5",
     "tailwindcss": "3.4.19",
     "typescript": "5.9.3",
@@ -88,10 +88,11 @@
     "lodash": "4.18.1",
     "ws": "8.19.0",
     "braces": "3.0.3",
-    "axios": "1.13.6"
+    "axios": "1.13.6",
+    "postcss": "8.5.13"
   },
   "engines": {
-    "node": ">=18.17.0",
+    "node": ">=20.9.0",
     "npm": ">=8.3.0"
   }
 }
diff --git a/ui/litellm-dashboard/src/app/(dashboard)/hooks/routingGroups/useRoutingGroups.ts b/ui/litellm-dashboard/src/app/(dashboard)/hooks/routingGroups/useRoutingGroups.ts
new file mode 100644
index 00000000000..71d27d2017c
--- /dev/null
+++ b/ui/litellm-dashboard/src/app/(dashboard)/hooks/routingGroups/useRoutingGroups.ts
@@ -0,0 +1,51 @@
+"use client";
+
+import useAuthorized from "@/app/(dashboard)/hooks/useAuthorized";
+import { useMutation, useQuery, useQueryClient, UseMutationResult, UseQueryResult } from "@tanstack/react-query";
+import { getRouterSettingsCall, setCallbacksCall } from "@/components/networking";
+import { createQueryKeys } from "../common/queryKeysFactory";
+import type { RoutingGroup } from "@/components/routing_groups/types";
+
+const routingGroupsKeys = createQueryKeys("routingGroups");
+
+interface RoutingGroupsQueryData {
+  routingGroups: RoutingGroup[];
+  routingStrategy: string | null;
+  availableStrategies: string[];
+}
+
+const fetchRoutingGroups = async (accessToken: string): Promise<RoutingGroupsQueryData> => {
+  const data = await getRouterSettingsCall(accessToken);
+  const currentValues = data?.current_values ?? {};
+  const fields = Array.isArray(data?.fields) ? data.fields : [];
+  const routingStrategyField = fields.find((f: any) => f?.field_name === "routing_strategy");
+
+  return {
+    routingGroups: Array.isArray(currentValues.routing_groups) ? currentValues.routing_groups : [],
+    routingStrategy: currentValues.routing_strategy ?? null,
+    availableStrategies: Array.isArray(routingStrategyField?.options) ? routingStrategyField.options : [],
+  };
+};
+
+export const useRoutingGroups = (): UseQueryResult<RoutingGroupsQueryData> => {
+  const { accessToken, userId, userRole } = useAuthorized();
+  return useQuery<RoutingGroupsQueryData>({
+    queryKey: routingGroupsKeys.lists(),
+    queryFn: () => fetchRoutingGroups(accessToken!),
+    enabled: Boolean(accessToken && userId && userRole),
+  });
+};
+
+export const useSaveRoutingGroups = (): UseMutationResult<unknown, Error, RoutingGroup[]> => {
+  const { accessToken } = useAuthorized();
+  const queryClient = useQueryClient();
+  return useMutation({
+    mutationFn: (routingGroups: RoutingGroup[]) =>
+      setCallbacksCall(accessToken!, {
+        router_settings: { routing_groups: routingGroups },
+      }),
+    onSuccess: () => {
+      queryClient.invalidateQueries({ queryKey: routingGroupsKeys.lists() });
+    },
+  });
+};
diff --git a/ui/litellm-dashboard/src/components/VirtualKeysPage/VirtualKeysTable.test.tsx b/ui/litellm-dashboard/src/components/VirtualKeysPage/VirtualKeysTable.test.tsx
index e6d144df65a..98813f84625 100644
--- a/ui/litellm-dashboard/src/components/VirtualKeysPage/VirtualKeysTable.test.tsx
+++ b/ui/litellm-dashboard/src/components/VirtualKeysPage/VirtualKeysTable.test.tsx
@@ -1,4 +1,4 @@
-import { screen, waitFor, fireEvent } from "@testing-library/react";
+import { act, screen, waitFor, fireEvent } from "@testing-library/react";
 import { vi, it, expect, beforeEach, MockedFunction } from "vitest";
 import { renderWithProviders } from "../../../tests/test-utils";
 import { VirtualKeysTable } from "./VirtualKeysTable";
@@ -974,3 +974,93 @@ describe("refetch button", () => {
     expect(screen.getByText("Fetch")).toBeInTheDocument();
   });
 });
+
+describe("Status column reflects key.blocked / scim_blocked metadata", () => {
+  it("should render Active for a non-blocked key", async () => {
+    mockUseFilterLogic.mockReturnValue({
+      filters: {
+        "Team ID": "",
+        "Organization ID": "",
+        "Key Alias": "",
+        "User ID": "",
+        "Sort By": "created_at",
+        "Sort Order": "desc",
+      },
+      filteredKeys: [{ ...mockKey, blocked: false, metadata: {} }],
+      filteredTotalCount: null,
+      allTeams: [mockTeam],
+      allOrganizations: [mockOrganization],
+      handleFilterChange: vi.fn(),
+      handleFilterReset: vi.fn(),
+    });
+
+    renderWithProviders(<VirtualKeysTable {...defaultMockProps} />);
+
+    await waitFor(() => {
+      expect(screen.getByTestId(`key-status-${mockKey.token_id}`)).toHaveTextContent(
+        "Active",
+      );
+    });
+  });
+
+  it("should render Blocked when key.blocked is true", async () => {
+    mockUseFilterLogic.mockReturnValue({
+      filters: {
+        "Team ID": "",
+        "Organization ID": "",
+        "Key Alias": "",
+        "User ID": "",
+        "Sort By": "created_at",
+        "Sort Order": "desc",
+      },
+      filteredKeys: [{ ...mockKey, blocked: true, metadata: {} }],
+      filteredTotalCount: null,
+      allTeams: [mockTeam],
+      allOrganizations: [mockOrganization],
+      handleFilterChange: vi.fn(),
+      handleFilterReset: vi.fn(),
+    });
+
+    renderWithProviders(<VirtualKeysTable {...defaultMockProps} />);
+
+    await waitFor(() => {
+      expect(screen.getByTestId(`key-status-${mockKey.token_id}`)).toHaveTextContent(
+        "Blocked",
+      );
+    });
+    expect(screen.queryByText(/Blocked by SCIM/i)).not.toBeInTheDocument();
+  });
+
+  it("should mark a SCIM-blocked key with the SCIM tooltip reason", async () => {
+    mockUseFilterLogic.mockReturnValue({
+      filters: {
+        "Team ID": "",
+        "Organization ID": "",
+        "Key Alias": "",
+        "User ID": "",
+        "Sort By": "created_at",
+        "Sort Order": "desc",
+      },
+      filteredKeys: [
+        { ...mockKey, blocked: true, metadata: { scim_blocked: true } },
+      ],
+      filteredTotalCount: null,
+      allTeams: [mockTeam],
+      allOrganizations: [mockOrganization],
+      handleFilterChange: vi.fn(),
+      handleFilterReset: vi.fn(),
+    });
+
+    renderWithProviders(<VirtualKeysTable {...defaultMockProps} />);
+
+    const tag = await screen.findByTestId(`key-status-${mockKey.token_id}`);
+    expect(tag).toHaveTextContent("Blocked");
+
+    act(() => {
+      fireEvent.mouseEnter(tag);
+    });
+    await waitFor(() => {
+      expect(screen.getByText(/Blocked by SCIM/i)).toBeInTheDocument();
+    });
+  });
+});
diff --git a/ui/litellm-dashboard/src/components/VirtualKeysPage/VirtualKeysTable.tsx b/ui/litellm-dashboard/src/components/VirtualKeysPage/VirtualKeysTable.tsx
index b30d4b6ce5b..b48f0285f6e 100644
--- a/ui/litellm-dashboard/src/components/VirtualKeysPage/VirtualKeysTable.tsx
+++ b/ui/litellm-dashboard/src/components/VirtualKeysPage/VirtualKeysTable.tsx
@@ -26,7 +26,7 @@ import {
   Text,
 } from "@tremor/react";
 import { InfoCircleOutlined, SyncOutlined } from "@ant-design/icons";
-import { Button as AntButton, Popover, Skeleton, Tooltip, Typography } from "antd";
+import { Button as AntButton, Popover, Skeleton, Tag, Tooltip, Typography } from "antd";
 import React, { useEffect, useDeferredValue, useMemo, useState } from "react";
 import { getModelDisplayName } from "../key_team_helpers/fetch_available_models_team_key";
 import { useFilterLogic } from "../key_team_helpers/filter_logic";
@@ -183,6 +183,35 @@ export function VirtualKeysTable({ teams, organizations, onSortChange, currentSo
         );
       },
     },
+    {
+      id: "status",
+      header: "Status",
+      size: 100,
+      enableSorting: false,
+      cell: ({ row }) => {
+        const key = row.original;
+        if (key.blocked !== true) {
+          return (
+            <Tag color="green" data-testid={`key-status-${key.token_id}`}>
+              Active
+            </Tag>
+          );
+        }
+        const isScimBlocked =
+          (key.metadata as Record<string, unknown> | null | undefined)
+            ?.scim_blocked === true;
+        const reason = isScimBlocked
+          ? "Blocked by SCIM (external identity provider deactivated or deleted the owning user)."
+          : "Blocked. Requests using this key will be rejected with 401.";
+        return (
+          <Tooltip title={reason}>
+            <Tag color="red" data-testid={`key-status-${key.token_id}`}>
+              Blocked
+            </Tag>
+          </Tooltip>
+        );
+      },
+    },
     {
       id: "key_name",
       accessorKey: "key_name",
diff --git a/ui/litellm-dashboard/src/components/general_settings.tsx b/ui/litellm-dashboard/src/components/general_settings.tsx
index 22c8d38a379..0492929d1c0 100644
--- a/ui/litellm-dashboard/src/components/general_settings.tsx
+++ b/ui/litellm-dashboard/src/components/general_settings.tsx
@@ -24,6 +24,7 @@ import { TrashIcon, CheckCircleIcon } from "@heroicons/react/outline";
 
 import RouterSettings from "./router_settings";
 import Fallbacks from "./Settings/RouterSettings/Fallbacks/Fallbacks";
+import RoutingGroups from "./routing_groups";
 interface GeneralSettingsPageProps {
   accessToken: string | null;
   userRole: string | null;
@@ -110,8 +111,9 @@ const GeneralSettings: React.FC<GeneralSettingsPageProps> = ({ accessToken, user
       <TabGroup className="h-[75vh] w-full">
         <TabList variant="line" defaultValue="1" className="px-8 pt-4">
           <Tab value="1">Loadbalancing</Tab>
-          <Tab value="2">Fallbacks</Tab>
-          <Tab value="3">General</Tab>
+          <Tab value="2">Routing Groups</Tab>
+          <Tab value="3">Fallbacks</Tab>
+          <Tab value="4">General</Tab>
         </TabList>
         <TabPanels className="px-8 py-6">
           <TabPanel>
@@ -122,6 +124,9 @@ const GeneralSettings: React.FC<GeneralSettingsPageProps> = ({ accessToken, user
               modelData={modelData}
             />
           </TabPanel>
+          <TabPanel>
+            <RoutingGroups />
+          </TabPanel>
           <TabPanel>
             <Fallbacks
               accessToken={accessToken}
diff --git a/ui/litellm-dashboard/src/components/mcp_tools/mcp_server_view.tsx b/ui/litellm-dashboard/src/components/mcp_tools/mcp_server_view.tsx
index c70d188bdbb..f9a3d57e952 100644
--- a/ui/litellm-dashboard/src/components/mcp_tools/mcp_server_view.tsx
+++ b/ui/litellm-dashboard/src/components/mcp_tools/mcp_server_view.tsx
@@ -147,7 +147,12 @@ export const MCPServerView: React.FC<MCPServerViewProps> = ({
                   <Text className="break-all overflow-wrap-anywhere font-mono text-sm">
                     {renderUrlWithToggle(mcpServer.url, showFullUrl)}
                   </Text>
-                  {hasToken && (
+                  {/* Only proxy admins may reveal the raw URL — non-admins
+                      receive a sanitized server object from the backend
+                      with `url=null`, but hide the toggle anyway as
+                      defense-in-depth in case the URL ever leaks back
+                      into the response. */}
+                  {hasToken && isProxyAdmin && (
                     <button onClick={() => setShowFullUrl(!showFullUrl)} className="p-1 hover:bg-gray-100 rounded flex-shrink-0">
                       <Icon icon={showFullUrl ? EyeOffIcon : EyeIcon} size="sm" className="text-gray-500" />
                     </button>
diff --git a/ui/litellm-dashboard/src/components/routing_groups/RoutingGroupModal.tsx b/ui/litellm-dashboard/src/components/routing_groups/RoutingGroupModal.tsx
new file mode 100644
index 00000000000..f238c498fb2
--- /dev/null
+++ b/ui/litellm-dashboard/src/components/routing_groups/RoutingGroupModal.tsx
@@ -0,0 +1,194 @@
+"use client";
+
+import React, { useMemo } from "react";
+import { Form, Input, Modal, Select, Space, Typography } from "antd";
+import type { RoutingGroup, RoutingStrategy } from "./types";
+
+const { Text, Paragraph } = Typography;
+
+interface RoutingGroupModalProps {
+  open: boolean;
+  mode: "create" | "edit";
+  initialValue: RoutingGroup | null;
+  availableStrategies: string[];
+  strategyDescriptions: Record<string, string>;
+  modelOptions: string[];
+  existingGroupNames: string[];
+  onClose: () => void;
+  onSubmit: (group: RoutingGroup) => Promise<void> | void;
+  saving?: boolean;
+}
+
+interface FormValues {
+  group_name: string;
+  models: string[];
+  routing_strategy: RoutingStrategy | string;
+  routing_strategy_args?: string;
+}
+
+const STRATEGIES_WITH_ARGS = new Set<string>(["latency-based-routing", "usage-based-routing"]);
+
+const GROUP_NAME_PATTERN = /^[A-Za-z0-9._-]+$/;
+const GROUP_NAME_MAX_LENGTH = 64;
+
+const RoutingGroupModal: React.FC<RoutingGroupModalProps> = ({
+  open,
+  mode,
+  initialValue,
+  availableStrategies,
+  strategyDescriptions,
+  modelOptions,
+  existingGroupNames,
+  onClose,
+  onSubmit,
+  saving,
+}) => {
+  const [form] = Form.useForm<FormValues>();
+  const selectedStrategy = Form.useWatch("routing_strategy", form);
+
+  const initialValues: FormValues = {
+    group_name: initialValue?.group_name ?? "",
+    models: initialValue?.models ?? [],
+    routing_strategy: initialValue?.routing_strategy ?? availableStrategies[0] ?? "simple-shuffle",
+    routing_strategy_args: initialValue?.routing_strategy_args
+      ? JSON.stringify(initialValue.routing_strategy_args, null, 2)
+      : "",
+  };
+
+  const reservedNames = useMemo(() => {
+    const others = existingGroupNames.filter((n) => n !== initialValue?.group_name);
+    return new Set(others.map((n) => n.toLowerCase()));
+  }, [existingGroupNames, initialValue]);
+
+  const handleSubmit = async () => {
+    const values = await form.validateFields();
+    const strategySupportsArgs = STRATEGIES_WITH_ARGS.has(String(values.routing_strategy));
+    let parsedArgs: Record<string, unknown> | null = null;
+    if (strategySupportsArgs && values.routing_strategy_args && values.routing_strategy_args.trim()) {
+      try {
+        parsedArgs = JSON.parse(values.routing_strategy_args);
+      } catch {
+        form.setFields([
+          {
+            name: "routing_strategy_args",
+            errors: ["Must be valid JSON"],
+          },
+        ]);
+        return;
+      }
+    }
+
+    await onSubmit({
+      group_name: values.group_name.trim(),
+      models: values.models,
+      routing_strategy: values.routing_strategy,
+      routing_strategy_args: parsedArgs,
+    });
+  };
+
+  return (
+    <Modal
+      title={mode === "create" ? "Create Routing Group" : `Edit ${initialValue?.group_name ?? ""}`}
+      open={open}
+      onCancel={onClose}
+      onOk={handleSubmit}
+      okText={mode === "create" ? "Create Group" : "Save Changes"}
+      cancelText="Cancel"
+      confirmLoading={saving}
+      destroyOnClose
+      width={560}
+    >
+      <Form<FormValues>
+        key={mode === "edit" ? `edit-${initialValue?.group_name ?? ""}` : "create"}
+        form={form}
+        layout="vertical"
+        preserve={false}
+        initialValues={initialValues}
+      >
+        <Form.Item
+          label="Group Name"
+          name="group_name"
+          rules={[
+            { required: true, message: "Group name is required" },
+            { max: GROUP_NAME_MAX_LENGTH, message: `Must be ${GROUP_NAME_MAX_LENGTH} characters or fewer` },
+            {
+              pattern: GROUP_NAME_PATTERN,
+              message: "Only letters, numbers, dot, underscore, and dash are allowed",
+            },
+            {
+              validator: (_, value: string) => {
+                if (!value) return Promise.resolve();
+                if (reservedNames.has(value.trim().toLowerCase())) {
+                  return Promise.reject(new Error("A group with this name already exists"));
+                }
+                return Promise.resolve();
+              },
+            },
+          ]}
+          extra="Use this name as the model in API calls — LiteLLM routes the request to one of the group's models."
+        >
+          <Input placeholder="fast-chat" disabled={mode === "edit"} />
+        </Form.Item>
+
+        <Form.Item
+          label="Models"
+          name="models"
+          rules={[{ required: true, message: "Select at least one model" }]}
+          extra="Models from your model list that this group routes between."
+        >
+          <Select
+            mode="multiple"
+            allowClear
+            placeholder="Select models"
+            options={modelOptions.map((m) => ({ label: m, value: m }))}
+            optionFilterProp="label"
+          />
+        </Form.Item>
+
+        <Form.Item
+          label="Routing Strategy"
+          name="routing_strategy"
+          rules={[{ required: true, message: "Strategy is required" }]}
+        >
+          <Select
+            options={availableStrategies.map((s) => ({ label: s, value: s }))}
+            placeholder="Select strategy"
+          />
+        </Form.Item>
+
+        {selectedStrategy && strategyDescriptions[selectedStrategy] && (
+          <Paragraph className="text-xs text-gray-500 -mt-2 mb-4">
+            {strategyDescriptions[selectedStrategy]}
+          </Paragraph>
+        )}
+
+        {STRATEGIES_WITH_ARGS.has(String(selectedStrategy)) && (
+          <Form.Item
+            label="Strategy Arguments (JSON)"
+            name="routing_strategy_args"
+            extra={
+              selectedStrategy === "latency-based-routing"
+                ? "Example: { \"ttl\": 3600, \"lowest_latency_buffer\": 0 }"
+                : "Example: { \"ttl\": 60 }"
+            }
+          >
+            <Input.TextArea
+              rows={4}
+              placeholder='{ "ttl": 3600 }'
+              className="font-mono text-xs"
+            />
+          </Form.Item>
+        )}
+
+        <Space direction="vertical" className="w-full mt-2">
+          <Text type="secondary" className="text-xs">
+            Models not claimed by an explicit group fall through to the proxy&apos;s top-level routing
+            strategy.
+          </Text>
+        </Space>
+      </Form>
+    </Modal>
+  );
+};
+
+export default RoutingGroupModal;
diff --git a/ui/litellm-dashboard/src/components/routing_groups/RoutingGroupsTable.tsx b/ui/litellm-dashboard/src/components/routing_groups/RoutingGroupsTable.tsx
new file mode 100644
index 00000000000..c19724f4232
--- /dev/null
+++ b/ui/litellm-dashboard/src/components/routing_groups/RoutingGroupsTable.tsx
@@ -0,0 +1,241 @@
+"use client";
+
+import React, { useState } from "react";
+import { Flex, Table, Tabs, Tag, Tooltip, Typography, Button } from "antd";
+import type { ColumnsType } from "antd/es/table";
+import { BranchesOutlined, DeleteOutlined, EditOutlined, CodeOutlined } from "@ant-design/icons";
+import type { RoutingGroup } from "./types";
+
+const { Text, Paragraph } = Typography;
+
+interface RoutingGroupsTableProps {
+  groups: RoutingGroup[];
+  loading?: boolean;
+  onEdit: (group: RoutingGroup) => void;
+  onDelete: (group: RoutingGroup) => void;
+  proxyBaseUrl?: string;
+}
+
+const formatStrategyLabel = (strategy: string): string => {
+  switch (strategy) {
+    case "simple-shuffle":
+      return "Simple Shuffle";
+    case "least-busy":
+      return "Least Busy";
+    case "usage-based-routing":
+      return "Usage Based";
+    case "latency-based-routing":
+      return "Latency Based";
+    default:
+      return strategy;
+  }
+};
+
+const resolveBaseUrl = (proxyBaseUrl?: string): string => {
+  if (proxyBaseUrl && proxyBaseUrl.trim()) return proxyBaseUrl;
+  if (typeof window !== "undefined" && window.location?.origin) return window.location.origin;
+  return "<your_proxy_base_url>";
+};
+
+const exampleModel = (group: RoutingGroup): string => group.models[0] ?? "<your-model>";
+
+const buildCurlSnippet = (group: RoutingGroup, baseUrl: string): string =>
+  `curl -X POST '${baseUrl}/v1/chat/completions' \\
+  -H 'Content-Type: application/json' \\
+  -H 'Authorization: Bearer $LITELLM_API_KEY' \\
+  -d '{
+    "model": "${exampleModel(group)}",
+    "messages": [{"role": "user", "content": "Hello!"}]
+  }'`;
+
+const buildPythonSnippet = (group: RoutingGroup, baseUrl: string): string =>
+  `from openai import OpenAI
+
+client = OpenAI(
+    api_key="$LITELLM_API_KEY",
+    base_url="${baseUrl}",
+)
+
+response = client.chat.completions.create(
+    model="${exampleModel(group)}",
+    messages=[{"role": "user", "content": "Hello!"}],
+)
+
+print(response)`;
+
+const buildJsSnippet = (group: RoutingGroup, baseUrl: string): string =>
+  `import OpenAI from "openai";
+
+const client = new OpenAI({
+  apiKey: process.env.LITELLM_API_KEY,
+  baseURL: "${baseUrl}",
+});
+
+const response = await client.chat.completions.create({
+  model: "${exampleModel(group)}",
+  messages: [{ role: "user", content: "Hello!" }],
+});
+
+console.log(response);`;
+
+interface RoutingGroupSnippetProps {
+  group: RoutingGroup;
+  baseUrl: string;
+}
+
+const SNIPPET_BLOCK_STYLE: React.CSSProperties = {
+  backgroundColor: "#111827",
+  color: "#f3f4f6",
+  borderRadius: 6,
+  padding: 16,
+  fontSize: 12,
+  whiteSpace: "pre",
+  overflowX: "auto",
+};
+
+const RoutingGroupSnippet: React.FC<RoutingGroupSnippetProps> = ({ group, baseUrl }) => {
+  const snippets = {
+    curl: buildCurlSnippet(group, baseUrl),
+    python: buildPythonSnippet(group, baseUrl),
+    javascript: buildJsSnippet(group, baseUrl),
+  } as const;
+  type SnippetKey = keyof typeof snippets;
+  const [activeKey, setActiveKey] = useState<SnippetKey>("curl");
+
+  const items = [
+    { key: "curl", label: "cURL" },
+    { key: "python", label: "Python (OpenAI SDK)" },
+    { key: "javascript", label: "JavaScript (OpenAI SDK)" },
+  ].map(({ key, label }) => ({
+    key,
+    label,
+    children: (
+      <Paragraph code className="!mb-0" style={SNIPPET_BLOCK_STYLE}>
+        {snippets[key as SnippetKey]}
+      </Paragraph>
+    ),
+  }));
+
+  return (
+    <Tabs
+      size="small"
+      activeKey={activeKey}
+      onChange={(k) => setActiveKey(k as SnippetKey)}
+      items={items}
+      tabBarExtraContent={
+        <Paragraph
+          copyable={{ text: snippets[activeKey], tooltips: ["Copy", "Copied"] }}
+          className="!mb-0"
+        />
+      }
+    />
+  );
+};
+
+const RoutingGroupsTable: React.FC<RoutingGroupsTableProps> = ({
+  groups,
+  loading,
+  onEdit,
+  onDelete,
+  proxyBaseUrl,
+}) => {
+  const [expandedRowKeys, setExpandedRowKeys] = useState<React.Key[]>([]);
+  const baseUrl = resolveBaseUrl(proxyBaseUrl);
+
+  const columns: ColumnsType<RoutingGroup> = [
+    {
+      title: "GROUP NAME",
+      dataIndex: "group_name",
+      key: "group_name",
+      render: (name: string) => (
+        <Text strong className="text-blue-600">
+          {name}
+        </Text>
+      ),
+    },
+    {
+      title: "MODELS",
+      dataIndex: "models",
+      key: "models",
+      render: (models: string[]) => (
+        <Flex wrap="wrap" gap={4}>
+          {models.map((m) => (
+            <Tag key={m}>{m}</Tag>
+          ))}
+        </Flex>
+      ),
+    },
+    {
+      title: "STRATEGY",
+      dataIndex: "routing_strategy",
+      key: "routing_strategy",
+      render: (strategy: string) => (
+        <span className="inline-flex items-center gap-1.5">
+          <BranchesOutlined className="text-gray-400" />
+          <Text>{formatStrategyLabel(strategy)}</Text>
+        </span>
+      ),
+    },
+    {
+      title: "ACTIONS",
+      key: "actions",
+      width: 120,
+      align: "right",
+      render: (_, group) => (
+        <Flex justify="flex-end" align="center" gap={8}>
+          <Tooltip title="Edit">
+            <Button
+              type="text"
+              icon={<EditOutlined />}
+              onClick={(e) => {
+                e.stopPropagation();
+                onEdit(group);
+              }}
+            />
+          </Tooltip>
+          <Tooltip title="Delete">
+            <Button
+              type="text"
+              danger
+              icon={<DeleteOutlined />}
+              onClick={(e) => {
+                e.stopPropagation();
+                onDelete(group);
+              }}
+            />
+          </Tooltip>
+        </Flex>
+      ),
+    },
+  ];
+
+  return (
+    <Table<RoutingGroup>
+      rowKey="group_name"
+      columns={columns}
+      dataSource={groups}
+      loading={loading}
+      pagination={false}
+      expandable={{
+        expandedRowKeys,
+        onExpandedRowsChange: (keys) => setExpandedRowKeys([...keys]),
+        expandedRowRender: (group) => (
+          <div className="bg-gray-50 border border-gray-200 rounded-md p-4 my-2">
+            <Flex align="center" gap={8} className="mb-2">
+              <CodeOutlined className="text-blue-500" />
+              <Text strong>How routing works for this group</Text>
+            </Flex>
+            <Paragraph className="text-sm text-gray-600 mb-3">
+              Callers request any model in the group by name — LiteLLM picks a deployment behind the
+              scenes using the{" "}
+              <Text strong>{formatStrategyLabel(group.routing_strategy)}</Text> strategy.
+            </Paragraph>
+            <RoutingGroupSnippet group={group} baseUrl={baseUrl} />
+          </div>
+        ),
+      }}
+    />
+  );
+};
+
+export default RoutingGroupsTable;
diff --git a/ui/litellm-dashboard/src/components/routing_groups/index.tsx b/ui/litellm-dashboard/src/components/routing_groups/index.tsx
new file mode 100644
index 00000000000..7f6e49738fa
--- /dev/null
+++ b/ui/litellm-dashboard/src/components/routing_groups/index.tsx
@@ -0,0 +1,177 @@
+"use client";
+
+import React, { useMemo, useState } from "react";
+import { Button, Card, Flex, Input, Modal, Space, Typography } from "antd";
+import { PlusOutlined, ReloadOutlined, SearchOutlined } from "@ant-design/icons";
+import { useRoutingGroups, useSaveRoutingGroups } from "@/app/(dashboard)/hooks/routingGroups/useRoutingGroups";
+import { useRouterFields } from "@/app/(dashboard)/hooks/router/useRouterFields";
+import { useModelHub } from "@/app/(dashboard)/hooks/models/useModels";
+import useProxySettings from "@/app/(dashboard)/hooks/proxySettings/useProxySettings";
+import RoutingGroupsTable from "./RoutingGroupsTable";
+import RoutingGroupModal from "./RoutingGroupModal";
+import NotificationsManager from "../molecules/notifications_manager";
+import type { RoutingGroup } from "./types";
+
+const { Text } = Typography;
+
+const RoutingGroups: React.FC = () => {
+  const { data, isLoading, refetch, isFetching } = useRoutingGroups();
+  const { data: routerFields } = useRouterFields();
+  const { data: modelHub } = useModelHub();
+  const proxySettings = useProxySettings();
+  const saveMutation = useSaveRoutingGroups();
+
+  const [searchQuery, setSearchQuery] = useState("");
+  const [drawerOpen, setDrawerOpen] = useState(false);
+  const [drawerMode, setDrawerMode] = useState<"create" | "edit">("create");
+  const [editingGroup, setEditingGroup] = useState<RoutingGroup | null>(null);
+  const [deletingGroup, setDeletingGroup] = useState<RoutingGroup | null>(null);
+
+  const groups = data?.routingGroups ?? [];
+
+  const filteredGroups = useMemo(() => {
+    const q = searchQuery.trim().toLowerCase();
+    if (!q) return groups;
+    return groups.filter(
+      (g) =>
+        g.group_name.toLowerCase().includes(q) ||
+        g.routing_strategy.toLowerCase().includes(q) ||
+        g.models.some((m) => m.toLowerCase().includes(q)),
+    );
+  }, [groups, searchQuery]);
+
+  const availableStrategies = useMemo(() => {
+    if (data?.availableStrategies?.length) return data.availableStrategies;
+    const fromFields = routerFields?.fields?.find((f) => f.field_name === "routing_strategy")?.options;
+    return fromFields ?? [];
+  }, [data?.availableStrategies, routerFields]);
+
+  const strategyDescriptions = routerFields?.routing_strategy_descriptions ?? {};
+
+  const modelOptions = useMemo<string[]>(() => {
+    const records = (modelHub?.data ?? []) as Array<{ model_group?: string }>;
+    const names = records.map((r) => r.model_group).filter((n): n is string => Boolean(n));
+    return Array.from(new Set(names));
+  }, [modelHub]);
+
+  const openCreate = () => {
+    setDrawerMode("create");
+    setEditingGroup(null);
+    setDrawerOpen(true);
+  };
+
+  const openEdit = (group: RoutingGroup) => {
+    setDrawerMode("edit");
+    setEditingGroup(group);
+    setDrawerOpen(true);
+  };
+
+  const handleSubmit = async (incoming: RoutingGroup) => {
+    const next: RoutingGroup[] =
+      drawerMode === "create"
+        ? [...groups, incoming]
+        : groups.map((g) => (g.group_name === editingGroup?.group_name ? incoming : g));
+
+    try {
+      await saveMutation.mutateAsync(next);
+      NotificationsManager.success(
+        drawerMode === "create"
+          ? `Created routing group "${incoming.group_name}"`
+          : `Updated routing group "${incoming.group_name}"`,
+      );
+      setDrawerOpen(false);
+    } catch (err) {
+      NotificationsManager.error(
+        err instanceof Error ? err.message : "Failed to save routing group",
+      );
+    }
+  };
+
+  const confirmDelete = async () => {
+    if (!deletingGroup) return;
+    const next = groups.filter((g) => g.group_name !== deletingGroup.group_name);
+    try {
+      await saveMutation.mutateAsync(next);
+      NotificationsManager.success(`Deleted routing group "${deletingGroup.group_name}"`);
+      setDeletingGroup(null);
+    } catch (err) {
+      NotificationsManager.error(
+        err instanceof Error ? err.message : "Failed to delete routing group",
+      );
+    }
+  };
+
+  return (
+    <Space direction="vertical" size={16} className="w-full">
+      <Card bodyStyle={{ padding: 16 }}>
+        <Flex justify="space-between" align="center" gap={12} className="mb-4">
+          <Input
+            allowClear
+            prefix={<SearchOutlined className="text-gray-400" />}
+            placeholder="Search groups..."
+            value={searchQuery}
+            onChange={(e) => setSearchQuery(e.target.value)}
+            className="max-w-sm"
+          />
+          <Flex align="center" gap={12}>
+            <Button
+              icon={<ReloadOutlined />}
+              onClick={() => refetch()}
+              loading={isFetching && !isLoading}
+            >
+              Refresh
+            </Button>
+            <Button type="primary" icon={<PlusOutlined />} onClick={openCreate}>
+              Create Group
+            </Button>
+            <Text type="secondary" className="text-sm whitespace-nowrap">
+              Showing {filteredGroups.length} {filteredGroups.length === 1 ? "result" : "results"}
+            </Text>
+          </Flex>
+        </Flex>
+
+        <RoutingGroupsTable
+          groups={filteredGroups}
+          loading={isLoading}
+          onEdit={openEdit}
+          onDelete={(g) => setDeletingGroup(g)}
+          proxyBaseUrl={
+            proxySettings.LITELLM_UI_API_DOC_BASE_URL?.trim() ||
+            proxySettings.PROXY_BASE_URL ||
+            ""
+          }
+        />
+      </Card>
+
+      <RoutingGroupModal
+        open={drawerOpen}
+        mode={drawerMode}
+        initialValue={editingGroup}
+        availableStrategies={availableStrategies}
+        strategyDescriptions={strategyDescriptions}
+        modelOptions={modelOptions}
+        existingGroupNames={groups.map((g) => g.group_name)}
+        onClose={() => setDrawerOpen(false)}
+        onSubmit={handleSubmit}
+        saving={saveMutation.isPending}
+      />
+
+      <Modal
+        open={Boolean(deletingGroup)}
+        title="Delete routing group?"
+        okText="Delete"
+        okButtonProps={{ danger: true, loading: saveMutation.isPending }}
+        cancelText="Cancel"
+        onOk={confirmDelete}
+        onCancel={() => setDeletingGroup(null)}
+      >
+        <Text>
+          Models in <Text strong>{deletingGroup?.group_name}</Text> will fall back to the proxy&apos;s
+          top-level routing strategy. This cannot be undone.
+        </Text>
+      </Modal>
+    </Space>
+  );
+};
+
+export default RoutingGroups;
diff --git a/ui/litellm-dashboard/src/components/routing_groups/types.ts b/ui/litellm-dashboard/src/components/routing_groups/types.ts
new file mode 100644
index 00000000000..e864a2490e8
--- /dev/null
+++ b/ui/litellm-dashboard/src/components/routing_groups/types.ts
@@ -0,0 +1,12 @@
+export type RoutingStrategy =
+  | "simple-shuffle"
+  | "least-busy"
+  | "usage-based-routing"
+  | "latency-based-routing";
+
+export interface RoutingGroup {
+  group_name: string;
+  models: string[];
+  routing_strategy: RoutingStrategy | string;
+  routing_strategy_args?: Record<string, unknown> | null;
+}
diff --git a/ui/litellm-dashboard/src/components/view_users/columns.tsx b/ui/litellm-dashboard/src/components/view_users/columns.tsx
index 4b9fad8f23c..fa3661067ff 100644
--- a/ui/litellm-dashboard/src/components/view_users/columns.tsx
+++ b/ui/litellm-dashboard/src/components/view_users/columns.tsx
@@ -1,6 +1,6 @@
 import { ColumnDef } from "@tanstack/react-table";
 import { Badge, Grid, Icon } from "@tremor/react";
-import { Tooltip, Checkbox } from "antd";
+import { Tooltip, Checkbox, Tag } from "antd";
 import { UserInfo } from "./types";
 import { PencilAltIcon, TrashIcon, InformationCircleIcon, RefreshIcon } from "@heroicons/react/outline";
 import { CopyOutlined } from "@ant-design/icons";
@@ -54,6 +54,30 @@ export const columns = (
       enableSorting: true,
       cell: ({ row }) => <span className="text-xs">{row.original.user_email || "-"}</span>,
     },
+    {
+      id: "status",
+      header: "Status",
+      enableSorting: false,
+      cell: ({ row }) => {
+        const isScimInactive =
+          (row.original.metadata as Record<string, unknown> | null | undefined)
+            ?.scim_active === false;
+        if (isScimInactive) {
+          return (
+            <Tooltip title="Deactivated via SCIM (external identity provider). The user's virtual keys are blocked.">
+              <Tag color="red" data-testid={`user-status-${row.original.user_id}`}>
+                Inactive
+              </Tag>
+            </Tooltip>
+          );
+        }
+        return (
+          <Tag color="green" data-testid={`user-status-${row.original.user_id}`}>
+            Active
+          </Tag>
+        );
+      },
+    },
     {
       header: "Global Proxy Role",
       accessorKey: "user_role",
diff --git a/ui/litellm-dashboard/src/components/view_users/table.test.tsx b/ui/litellm-dashboard/src/components/view_users/table.test.tsx
index 82f49d9618e..783b99329bd 100644
--- a/ui/litellm-dashboard/src/components/view_users/table.test.tsx
+++ b/ui/litellm-dashboard/src/components/view_users/table.test.tsx
@@ -1,6 +1,8 @@
 import { act, fireEvent, render, screen } from "@testing-library/react";
 import { describe, expect, it, vi } from "vitest";
+import { columns } from "./columns";
 import { UserDataTable } from "./table";
+import { UserInfo } from "./types";
 
 const defaultFilters = {
   email: "",
@@ -100,6 +102,7 @@ describe("UserDataTable", () => {
     [
       "User ID",
       "Email",
+      "Status",
       "Global Proxy Role",
       "User Alias",
       "Spend (USD)",
@@ -113,4 +116,92 @@ describe("UserDataTable", () => {
       expect(screen.getByRole("columnheader", { name: header })).toBeInTheDocument();
     });
   });
+
+  it("should render the user-row Status cell as Active when scim_active is not set to false", () => {
+    const possibleUIRoles = { admin: { ui_label: "Admin" } };
+    const handlers = { edit: vi.fn(), del: vi.fn(), reset: vi.fn(), click: vi.fn() };
+    const cols = columns(
+      possibleUIRoles,
+      handlers.edit,
+      handlers.del,
+      handlers.reset,
+      handlers.click,
+    );
+    const statusCol = cols.find((c) => (c as { id?: string }).id === "status");
+    expect(statusCol).toBeDefined();
+
+    const baseUser: UserInfo = {
+      user_id: "u-active",
+      user_email: "active@example.com",
+      user_alias: null,
+      user_role: "admin",
+      spend: 0,
+      max_budget: null,
+      models: [],
+      key_count: 0,
+      created_at: "",
+      updated_at: "",
+      sso_user_id: null,
+      budget_duration: null,
+    };
+
+    const cellNoMetadata = (statusCol as any).cell({ row: { original: baseUser } });
+    render(<>{cellNoMetadata}</>);
+    expect(screen.getByText("Active")).toBeInTheDocument();
+    expect(screen.queryByText("Inactive")).not.toBeInTheDocument();
+  });
+
+  it("should render the user-row Status cell as Inactive when scim_active is false", () => {
+    const possibleUIRoles = { admin: { ui_label: "Admin" } };
+    const cols = columns(possibleUIRoles, vi.fn(), vi.fn(), vi.fn(), vi.fn());
+    const statusCol = cols.find((c) => (c as { id?: string }).id === "status")!;
+
+    const inactiveUser: UserInfo = {
+      user_id: "u-inactive",
+      user_email: "alex@acme.io",
+      user_alias: null,
+      user_role: "internal_user",
+      spend: 0,
+      max_budget: null,
+      models: [],
+      key_count: 1,
+      created_at: "",
+      updated_at: "",
+      sso_user_id: null,
+      budget_duration: null,
+      metadata: { scim_active: false },
+    };
+
+    const cell = (statusCol as any).cell({ row: { original: inactiveUser } });
+    render(<>{cell}</>);
+    expect(screen.getByText("Inactive")).toBeInTheDocument();
+    expect(screen.queryByText("Active")).not.toBeInTheDocument();
+  });
+
+  it("should treat scim_active=true as Active (not Inactive)", () => {
+    const possibleUIRoles = { admin: { ui_label: "Admin" } };
+    const cols = columns(possibleUIRoles, vi.fn(), vi.fn(), vi.fn(), vi.fn());
+    const statusCol = cols.find((c) => (c as { id?: string }).id === "status")!;
+
+    const reactivated: UserInfo = {
+      user_id: "u-rehired",
+      user_email: "alex@acme.io",
+      user_alias: null,
+      user_role: "internal_user",
+      spend: 0,
+      max_budget: null,
+      models: [],
+      key_count: 1,
+      created_at: "",
+      updated_at: "",
+      sso_user_id: null,
+      budget_duration: null,
+      metadata: { scim_active: true },
+    };
+
+    const cell = (statusCol as any).cell({ row: { original: reactivated } });
+    render(<>{cell}</>);
+    expect(screen.getByText("Active")).toBeInTheDocument();
+    expect(screen.queryByText("Inactive")).not.toBeInTheDocument();
+  });
 });
diff --git a/ui/litellm-dashboard/src/components/view_users/types.ts b/ui/litellm-dashboard/src/components/view_users/types.ts
index 744aa00a88b..7e1bae82845 100644
--- a/ui/litellm-dashboard/src/components/view_users/types.ts
+++ b/ui/litellm-dashboard/src/components/view_users/types.ts
@@ -11,4 +11,5 @@ export interface UserInfo {
   updated_at: string;
   sso_user_id: string | null;
   budget_duration: string | null;
+  metadata?: Record<string, unknown> | null;
 }
diff --git a/ui/litellm-dashboard/tests/setupTests.ts b/ui/litellm-dashboard/tests/setupTests.ts
index 5f85a80e580..6bc2e7775a1 100644
--- a/ui/litellm-dashboard/tests/setupTests.ts
+++ b/ui/litellm-dashboard/tests/setupTests.ts
@@ -3,6 +3,91 @@ import { cleanup } from "@testing-library/react";
 import React from "react";
 import { afterEach, vi } from "vitest";
 
+const ensureTestLocalStorage = () => {
+  if (typeof window === "undefined" || typeof window.Storage === "undefined") {
+    return;
+  }
+
+  if (typeof window.localStorage?.getItem === "function" && typeof window.localStorage?.clear === "function") {
+    return;
+  }
+
+  const storageStores = new WeakMap<Storage, Map<string, string>>();
+  const storagePrototype = window.Storage.prototype;
+  const getStore = (storage: Storage) => {
+    let store = storageStores.get(storage);
+    if (store === undefined) {
+      store = new Map<string, string>();
+      storageStores.set(storage, store);
+    }
+    return store;
+  };
+
+  Object.defineProperties(storagePrototype, {
+    getItem: {
+      configurable: true,
+      writable: true,
+      value(this: Storage, key: string) {
+        const store = getStore(this);
+        const normalizedKey = String(key);
+        return store.has(normalizedKey) ? store.get(normalizedKey)! : null;
+      },
+    },
+    setItem: {
+      configurable: true,
+      writable: true,
+      value(this: Storage, key: string, value: string) {
+        const store = getStore(this);
+        store.set(String(key), String(value));
+      },
+    },
+    removeItem: {
+      configurable: true,
+      writable: true,
+      value(this: Storage, key: string) {
+        const store = getStore(this);
+        store.delete(String(key));
+      },
+    },
+    clear: {
+      configurable: true,
+      writable: true,
+      value(this: Storage) {
+        const store = getStore(this);
+        store.clear();
+      },
+    },
+    key: {
+      configurable: true,
+      writable: true,
+      value(this: Storage, index: number) {
+        const store = getStore(this);
+        return Array.from(store.keys())[index] ?? null;
+      },
+    },
+  });
+
+  const localStorage = Object.create(storagePrototype);
+  storageStores.set(localStorage, new Map<string, string>());
+  Object.defineProperty(localStorage, "length", {
+    configurable: true,
+    get() {
+      return getStore(localStorage).size;
+    },
+  });
+
+  Object.defineProperty(window, "localStorage", {
+    configurable: true,
+    value: localStorage,
+  });
+  Object.defineProperty(globalThis, "localStorage", {
+    configurable: true,
+    value: localStorage,
+  });
+};
+
+ensureTestLocalStorage();
+
 // Global mock for NotificationManager to prevent React rendering issues in tests
 // This avoids "window is not defined" errors when notifications try to render
 // after test environment is torn down
@@ -31,7 +116,15 @@ vi.mock("@tremor/react", async (importOriginal) => {
       return React.createElement(React.Fragment, null, children);
     },
     // Render as a plain checkbox so toggle interactions are testable without Tremor internals
-    Switch: ({ checked, onChange, className }: { checked?: boolean; onChange?: (v: boolean) => void; className?: string }) =>
+    Switch: ({
+      checked,
+      onChange,
+      className,
+    }: {
+      checked?: boolean;
+      onChange?: (v: boolean) => void;
+      className?: string;
+    }) =>
       React.createElement("input", {
         type: "checkbox",
         role: "switch",
diff --git a/ui/litellm-dashboard/tsconfig.json b/ui/litellm-dashboard/tsconfig.json
index 5b0352feb98..d24bdd340f7 100644
--- a/ui/litellm-dashboard/tsconfig.json
+++ b/ui/litellm-dashboard/tsconfig.json
@@ -14,7 +14,7 @@
     "moduleResolution": "bundler",
     "resolveJsonModule": true,
     "isolatedModules": true,
-    "jsx": "preserve",
+    "jsx": "react-jsx",
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diff --git a/ui/litellm-dashboard/tsconfig.tsbuildinfo b/ui/litellm-dashboard/tsconfig.tsbuildinfo
index 509efb1b640..c23ada38819 100644
--- a/ui/litellm-dashboard/tsconfig.tsbuildinfo
+++ b/ui/litellm-dashboard/tsconfig.tsbuildinfo
@@ -1 +1 @@
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'string' is not assignable to type 'undefined'."}]],2153,[2156,[{"file":"./src/app/(dashboard)/hooks/keys/usekeys.test.ts","start":1354,"length":1382,"code":2741,"category":1,"messageText":"Property 'last_active' is missing in type '{ token: string; token_id: string; key_name: string; key_alias: string; spend: number; max_budget: number; expires: string; models: string[]; aliases: {}; config: {}; user_id: string; team_id: null; max_parallel_requests: number; ... 39 more ...; user_email: string; }' but required in type 'KeyResponse'.","relatedInformation":[{"file":"./src/components/key_team_helpers/key_list.tsx","start":1333,"length":11,"messageText":"'last_active' is declared here.","category":3,"code":2728}]},{"file":"./src/app/(dashboard)/hooks/keys/usekeys.test.ts","start":2740,"length":1394,"code":2741,"category":1,"messageText":"Property 'last_active' is missing in type '{ token: string; token_id: string; key_name: string; key_alias: string; spend: number; max_budget: number; expires: string; models: string[]; aliases: {}; config: {}; user_id: string; team_id: string; ... 40 more ...; user_email: string; }' but required in type 'KeyResponse'.","relatedInformation":[{"file":"./src/components/key_team_helpers/key_list.tsx","start":1333,"length":11,"messageText":"'last_active' is declared here.","category":3,"code":2728}]}]],2155,2157,2158,2159,2160,2162,2161,2164,2163,2167,2166,2169,2168,2171,2170,2173,2172,2175,2174,2177,2176,2179,2178,2181,2180,2183,2182,2185,2184,2187,2186,2188,2190,2189,2192,2191,2193,2115,2195,2194,2197,2196,2117,2116,2119,2121,2120,2123,2122,2125,2124,2199,2198,[2201,[{"file":"./src/app/(dashboard)/hooks/users/useusers.test.ts","start":1396,"length":5,"code":2322,"category":1,"messageText":{"messageText":"Type '{ user_id: string; user_email: string; user_alias: null; user_role: string; spend: number; max_budget: null; key_count: number; created_at: string; updated_at: string; sso_user_id: null; budget_duration: null; }[]' is not assignable to type 'UserInfo[]'.","category":1,"code":2322,"next":[{"messageText":"Property 'models' is missing in type '{ user_id: string; user_email: string; user_alias: null; user_role: string; spend: number; max_budget: null; key_count: number; created_at: string; updated_at: string; sso_user_id: null; budget_duration: null; }' but required in type 'UserInfo'.","category":1,"code":2741}]},"relatedInformation":[{"file":"./src/components/view_users/types.ts","start":167,"length":6,"messageText":"'models' is declared here.","category":3,"code":2728},{"file":"./src/components/networking.tsx","start":35071,"length":5,"messageText":"The expected type comes from property 'users' which is declared here on type 'UserListResponse'","category":3,"code":6500}]}]],2200,3390,3785,3796,3797,[3801,[{"file":"./src/app/(dashboard)/models-and-endpoints/components/allmodelstab.test.tsx","start":3064,"length":17,"code":2345,"category":1,"messageText":{"messageText":"Argument of type '{ token: string; accessToken: string; userId: string; userEmail: string; userRole: string; premiumUser: boolean; disabledPersonalKeyCreation: boolean; showSSOBanner: boolean; }' is not assignable to parameter of type '{ isLoading: boolean; isAuthorized: boolean; token: string | null; accessToken: any; userId: any; userEmail: any; userRole: string; premiumUser: any; disabledPersonalKeyCreation: any; showSSOBanner: boolean; }'.","category":1,"code":2345,"next":[{"messageText":"Type '{ token: string; accessToken: string; userId: string; userEmail: string; userRole: string; premiumUser: boolean; disabledPersonalKeyCreation: boolean; showSSOBanner: boolean; }' is missing the following properties from type '{ isLoading: boolean; isAuthorized: boolean; token: string | null; accessToken: any; userId: any; userEmail: any; userRole: string; premiumUser: any; disabledPersonalKeyCreation: any; showSSOBanner: boolean; }': isLoading, 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ooutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/insertrowaboveoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/insertrowbelowoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/insertrowleftoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/insertrowrightoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/instagramfilled.d.ts","./node_modules/@ant-design/icons/lib/icons/instagramoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/insurancefilled.d.ts","./node_modules/@ant-design/icons/lib/icons/insuranceoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/insurancetwotone.d.ts","./node_modules/@ant-design/icons/lib/icons/interactionfilled.d.ts","./node_modules/@ant-design/icons/lib/icons/interactionoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/interactiontwotone.d.ts","./node_modules/@ant-design/icons/lib/icons/issuescloseoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/italicoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/javaoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/javascriptoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/keyoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/kubernetesoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/laptopoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/layoutfilled.d.ts","./node_modules/@ant-design/icons/lib/icons/layoutoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/layouttwotone.d.ts","./node_modules/@ant-design/icons/lib/icons/leftcirclefilled.d.ts","./node_modules/@ant-design/icons/lib/icons/leftcircleoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/leftcircletwotone.d.ts","./node_modules/@ant-design/icons/lib/icons/leftoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/leftsquarefilled.d.ts","./node_modules/@ant-design/icons/lib/icons/leftsquareoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/leftsquaretwotone.d.ts","./node_modules/@ant-design/icons/lib/icons/likefilled.d.ts","./node_modules/@ant-design/icons/lib/icons/likeoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/liketwotone.d.ts","./node_modules/@ant-design/icons/lib/icons/linechartoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/lineheightoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/lineoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/linkoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/linkedinfilled.d.ts","./node_modules/@ant-design/icons/lib/icons/linkedinoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/linuxoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/loading3quartersoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/loadingoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/lockfilled.d.ts","./node_modules/@ant-design/icons/lib/icons/lockoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/locktwotone.d.ts","./node_modules/@ant-design/icons/lib/icons/loginoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/logoutoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/maccommandfilled.d.ts","./node_modules/@ant-design/icons/lib/icons/maccommandoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/mailfilled.d.ts","./node_modules/@ant-design/icons/lib/icons/mailoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/mailtwotone.d.ts","./node_modules/@ant-design/icons/lib/icons/manoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/medicineboxfilled.d.ts","./node_modules/@ant-design/icons/lib/icons/medicineboxoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/medicineboxtwotone.d.ts","./node_modules/@ant-design/icons/lib/icons/mediumcirclefilled.d.ts","./node_modules/@ant-design/icons/lib/icons/mediumoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/mediumsquarefilled.d.ts","./node_modules/@ant-design/icons/lib/icons/mediumworkmarkoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/mehfilled.d.ts","./node_modules/@ant-design/icons/lib/icons/mehoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/mehtwotone.d.ts","./node_modules/@ant-design/icons/lib/icons/menufoldoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/menuoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/menuunfoldoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/mergecellsoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/mergefilled.d.ts","./node_modules/@ant-design/icons/lib/icons/mergeoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/messagefilled.d.ts","./node_modules/@ant-design/icons/lib/icons/messageoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/messagetwotone.d.ts","./node_modules/@ant-design/icons/lib/icons/minuscirclefilled.d.ts","./node_modules/@ant-design/icons/lib/icons/minuscircleoutlined.d.ts","./node_modules/@ant-design/icons/lib/icons/minuscircletwotone.d.ts","./node_modules/@ant-design/icons/lib/icons/minusoutlined.d.ts","./node_module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Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3036,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3099,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3162,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3223,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3332,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3395,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3467,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3704,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3830,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3969,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":4078,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4140,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":4316,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4377,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":4473,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4565,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":4791,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4851,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":5087,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[4131,[{"start":2211,"length":27,"code":2769,"category":1,"messageText":{"messageText":"No overload matches this call.","category":1,"code":2769,"next":[{"messageText":"Overload 1 of 2, '(id: Matcher, options?: SelectorMatcherOptions | undefined): HTMLElement', gave the following error.","category":1,"code":2772,"next":[{"messageText":"Argument of type 'string | null' is not assignable to parameter of type 'Matcher'.","category":1,"code":2345,"next":[{"messageText":"Type 'null' is not assignable to type 'Matcher'.","category":1,"code":2322}]}]},{"messageText":"Overload 2 of 2, '(id: Matcher, options?: SelectorMatcherOptions | undefined): HTMLElement', gave the following error.","category":1,"code":2772,"next":[{"messageText":"Argument of type 'string | null' is not assignable to parameter of type 'Matcher'.","category":1,"code":2345,"next":[{"messageText":"Type 'null' is not assignable to type 'Matcher'.","category":1,"code":2322}]}]}]},"relatedInformation":[]},{"start":2290,"length":26,"code":2769,"category":1,"messageText":{"messageText":"No overload matches this call.","category":1,"code":2769,"next":[{"messageText":"Overload 1 of 2, '(id: Matcher, options?: SelectorMatcherOptions | undefined): HTMLElement', gave the following error.","category":1,"code":2772,"next":[{"messageText":"Argument of type 'string | null' is not assignable to parameter of type 'Matcher'.","category":1,"code":2345,"next":[{"messageText":"Type 'null' is not assignable to type 'Matcher'.","category":1,"code":2322}]}]},{"messageText":"Overload 2 of 2, '(id: Matcher, options?: SelectorMatcherOptions | undefined): HTMLElement', gave the following error.","category":1,"code":2772,"next":[{"messageText":"Argument of type 'string | null' is not assignable to parameter of type 'Matcher'.","category":1,"code":2345,"next":[{"messageText":"Type 'null' is not assignable to type 'Matcher'.","category":1,"code":2322}]}]}]},"relatedInformation":[]}]],[4142,[{"start":505,"length":14,"code":2739,"category":1,"messageText":"Type '{ token: string; token_id: string; key_name: string; key_alias: string; spend: number; max_budget: number; expires: string; models: string[]; aliases: {}; config: {}; user_id: string; team_id: string; ... 42 more ...; deleted_by: string; }' is missing the following properties from type 'DeletedKeyResponse': project_id, last_active","canonicalHead":{"code":2322,"messageText":"Type '{ token: string; token_id: string; key_name: string; key_alias: string; spend: number; max_budget: number; expires: string; models: string[]; aliases: {}; config: {}; user_id: string; team_id: string; ... 42 more ...; deleted_by: string; }' is not assignable to type 'DeletedKeyResponse'."}}]],[4143,[{"start":307,"length":14,"code":2739,"category":1,"messageText":"Type '{ token: string; token_id: string; key_name: string; key_alias: string; spend: number; max_budget: number; expires: string; models: string[]; aliases: {}; config: {}; user_id: string; team_id: string; ... 42 more ...; deleted_by: string; }' is missing the following properties from type 'DeletedKeyResponse': project_id, last_active","canonicalHead":{"code":2322,"messageText":"Type '{ token: string; token_id: string; key_name: string; key_alias: string; spend: number; max_budget: number; expires: string; models: string[]; aliases: {}; config: {}; user_id: string; team_id: string; ... 42 more ...; deleted_by: string; }' is not assignable to type 'DeletedKeyResponse'."}}]],[4147,[{"start":162,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":205,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":319,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":384,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":517,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":602,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":751,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[4148,[{"start":119,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":155,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":409,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":463,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":723,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":812,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":904,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1201,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1269,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1540,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1608,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1880,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[4149,[{"start":211,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":252,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":396,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":466,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":639,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":722,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":812,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":899,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1099,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1195,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1551,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1618,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1798,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[4150,[{"start":877,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":917,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1015,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1106,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1371,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1444,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1769,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1848,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2010,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2082,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2521,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[4152,[{"start":198,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":366,"length":9,"messageText":"Cannot find name 'afterEach'.","category":1,"code":2304},{"start":417,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":500,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":569,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":702,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":944,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1191,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1266,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1353,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1621,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1713,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2502,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2590,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2781,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2875,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2988,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3090,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3429,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3509,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3912,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3991,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":4103,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4261,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[4154,[{"start":144,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":177,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":286,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":359,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":488,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":554,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":618,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":732,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":793,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1003,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1073,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1214,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1290,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1450,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1522,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1653,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[4167,[{"start":2909,"length":4,"code":2741,"category":1,"messageText":"Property 'user_alias' is missing in type '{ user_id: string; user_email: string; }' but required in type '{ user_id: string; user_email: string; user_alias: string | null; }'.","relatedInformation":[{"file":"./src/components/key_team_helpers/key_list.tsx","start":3002,"length":10,"messageText":"'user_alias' is declared here.","category":3,"code":2728}],"canonicalHead":{"code":2322,"messageText":"Type '{ user_id: string; user_email: string; }' is not assignable to type '{ user_id: string; user_email: string; user_alias: string | null; }'."}}]],[4195,[{"start":217,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":251,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":322,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":396,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":460,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":534,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":614,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":690,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":725,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":923,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":991,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? 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\ No newline at end of file
diff --git a/uv.lock b/uv.lock
index e01351ae3c8..dde75bc1383 100644
--- a/uv.lock
+++ b/uv.lock
@@ -9,7 +9,7 @@ resolution-markers = [
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 [options]
-exclude-newer = "2026-04-27T18:03:18.987479976Z"
+exclude-newer = "0001-01-01T00:00:00Z" # This has no effect and is included for backwards compatibility when using relative exclude-newer values.
 exclude-newer-span = "P3D"
 
 [manifest]
@@ -72,7 +72,7 @@ source = { registry = "https://pypi.org/simple" }
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     { name = "aiosignal" },
-    { name = "async-timeout", version = "4.0.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" },
+    { name = "async-timeout", marker = "python_full_version < '3.11'" },
     { name = "attrs" },
     { name = "frozenlist" },
     { name = "multidict" },
@@ -321,25 +321,10 @@ wheels = [
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 ]
 
-[[package]]
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-version = "4.0.3"
-source = { registry = "https://pypi.org/simple" }
-resolution-markers = [
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-wheels = [
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-
 [[package]]
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 version = "5.0.1"
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-resolution-markers = [
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 sdist = { url = "https://files.pythonhosted.org/packages/a5/ae/136395dfbfe00dfc94da3f3e136d0b13f394cba8f4841120e34226265780/async_timeout-5.0.1.tar.gz", hash = "sha256:d9321a7a3d5a6a5e187e824d2fa0793ce379a202935782d555d6e9d2735677d3", size = 9274, upload-time = "2024-11-06T16:41:39.6Z" }
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@@ -388,15 +373,15 @@ wheels = [
 
 [[package]]
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+version = "1.40.0"
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 dependencies = [
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     { name = "typing-extensions" },
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-sdist = { url = "https://files.pythonhosted.org/packages/34/83/bbde3faa84ddcb8eb0eca4b3ffb3221252281db4ce351300fe248c5c70b1/azure_core-1.39.0.tar.gz", hash = "sha256:8a90a562998dd44ce84597590fff6249701b98c0e8797c95fcdd695b54c35d74", size = 367531, upload-time = "2026-03-19T01:31:29.461Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/ce/d9/6f5972b44761277394527a3a76af5ae2ef82fc5f20ce351abf0c826eca67/azure_core-1.40.0.tar.gz", hash = "sha256:ecf5b6ddf2564471fae9d576147b7e77a4da285958b2d9f4fd6c3af104f3e9d7", size = 380057, upload-time = "2026-05-01T00:59:45.488Z" }
 wheels = [
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+    { url = "https://files.pythonhosted.org/packages/ec/c9/25edc67692fb17523c7d29c73898be649b4d3c7ae13cc0f74f5c91938022/azure_core-1.40.0-py3-none-any.whl", hash = "sha256:7f3ea02579b1bb1d34e45043423b650621d11d7c2ea3b05e5554010080b78dfd", size = 220450, upload-time = "2026-05-01T00:59:47.17Z" },
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 [[package]]
@@ -556,30 +541,30 @@ wheels = [
 
 [[package]]
 name = "boto3"
-version = "1.42.59"
+version = "1.43.1"
 source = { registry = "https://pypi.org/simple" }
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     { name = "jmespath" },
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-sdist = { url = "https://files.pythonhosted.org/packages/b0/4e/499cb52aaee9468c346bcc1158965e24e72b4e2a20052725b680e0ac949b/boto3-1.42.59.tar.gz", hash = "sha256:6c4a14a4eb37b58a9048901bdeefbe1c529638b73e8f55413319a25f010ca211", size = 112725, upload-time = "2026-02-27T20:25:33.228Z" }
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 [[package]]
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-version = "1.42.88"
+version = "1.43.1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
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     { name = "python-dateutil" },
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+sdist = { url = "https://files.pythonhosted.org/packages/03/b7/416ae6f1461d6fec3b3aaffc4759371319c71a21f7ab4c3106ee574fda8d/botocore-1.43.1.tar.gz", hash = "sha256:270d6357d662550fdb84973ec247e02bece0b6283d90bf37319c7753515336e4", size = 15296915, upload-time = "2026-04-30T20:26:50.962Z" }
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+    { url = "https://files.pythonhosted.org/packages/09/48/dc2290d2af8b1dc3a44d210555a90f0cb76ef913c52b0c4f31a43cce27b8/botocore-1.43.1-py3-none-any.whl", hash = "sha256:955edc6a398b9c4100cf0d5a31433fdba3835500bf38c1ef171e6e75f4b477d2", size = 14979119, upload-time = "2026-04-30T20:26:46.031Z" },
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 [[package]]
@@ -593,20 +578,20 @@ wheels = [
 
 [[package]]
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-version = "6.2.6"
+version = "7.0.6"
 source = { registry = "https://pypi.org/simple" }
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+sdist = { url = "https://files.pythonhosted.org/packages/76/7b/1755ed2c6bfabd1d98b37ae73152f8dcf94aa40fee119d163c19ed484704/cachetools-7.0.6.tar.gz", hash = "sha256:e5d524d36d65703a87243a26ff08ad84f73352adbeafb1cde81e207b456aaf24", size = 37526, upload-time = "2026-04-20T19:02:23.289Z" }
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+    { url = "https://files.pythonhosted.org/packages/fe/c4/cf76242a5da1410917107ff14551764aa405a5fd10cd10cf9a5ca8fa77f4/cachetools-7.0.6-py3-none-any.whl", hash = "sha256:4e94956cfdd3086f12042cdd29318f5ced3893014f7d0d059bf3ead3f85b7f8b", size = 13976, upload-time = "2026-04-20T19:02:21.187Z" },
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 [[package]]
 name = "certifi"
-version = "2026.2.25"
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