fix(files): harden authorization on chat file downloads (#10380) to release v3.0 (#10393)

Co-authored-by: Evan Lohn <evan@danswer.ai>

backend/ee/onyx/background/celery/tasks/ttl_management/tasks.py

@@ -55,14 +55,20 @@ def perform_ttl_management_task(
             )
 
         for user_id, session_id in old_chat_sessions:
-            # one session per delete so that we don't blow up if a deletion fails.
-            with get_session_with_current_tenant() as db_session:
-                delete_chat_session(
-                    user_id,
-                    session_id,
-                    db_session,
-                    include_deleted=True,
-                    hard_delete=True,
+            try:
+                with get_session_with_current_tenant() as db_session:
+                    delete_chat_session(
+                        user_id,
+                        session_id,
+                        db_session,
+                        include_deleted=True,
+                        hard_delete=True,
+                    )
+            except Exception:
+                logger.exception(
+                    "Failed to delete chat session "
+                    f"user_id={user_id} session_id={session_id}, "
+                    "continuing with remaining sessions"
                 )
 
         with get_session_with_current_tenant() as db_session:

backend/onyx/db/chat.py

@@ -170,7 +170,7 @@ def delete_messages_and_files_from_chat_session(
     for _, files in messages_with_files:
         file_store = get_default_file_store()
         for file_info in files or []:
-            file_store.delete_file(file_id=file_info.get("id"))
+            file_store.delete_file(file_id=file_info.get("id"), error_on_missing=False)
 
     # Delete ChatMessage records - CASCADE constraints will automatically handle:
     # - ChatMessage__StandardAnswer relationship records

backend/onyx/db/user_file.py

@@ -2,10 +2,17 @@ import datetime
 from uuid import UUID
 
 from sqlalchemy import func
+from sqlalchemy import or_
 from sqlalchemy import select
 from sqlalchemy.orm import selectinload
 from sqlalchemy.orm import Session
 
+from onyx.configs.constants import FileOrigin
+from onyx.db.models import ChatMessage
+from onyx.db.models import ChatSession
+from onyx.db.models import ChatSessionSharedStatus
+from onyx.db.models import FileRecord
+from onyx.db.models import Persona
 from onyx.db.models import Project__UserFile
 from onyx.db.models import UserFile
 
@@ -106,13 +113,73 @@ def update_last_accessed_at_for_user_files(
     db_session.commit()
 
 
-def get_file_id_by_user_file_id(user_file_id: str, db_session: Session) -> str | None:
-    user_file = db_session.query(UserFile).filter(UserFile.id == user_file_id).first()
+def get_file_id_by_user_file_id(
+    user_file_id: str, user_id: UUID, db_session: Session
+) -> str | None:
+    user_file = (
+        db_session.query(UserFile)
+        .filter(UserFile.id == user_file_id, UserFile.user_id == user_id)
+        .first()
+    )
     if user_file:
         return user_file.file_id
     return None
 
 
+def user_can_access_chat_file(file_id: str, user_id: UUID, db_session: Session) -> bool:
+    """Return True if `user_id` is allowed to read the raw `file_id` served by
+    `GET /chat/file/{file_id}`. Access is granted when any of:
+
+    - The `file_id` is the storage id of a `UserFile` owned by the user.
+    - The `file_id` is a persona avatar (`Persona.uploaded_image_id`); avatars
+      are visible to any authenticated user.
+    - The `file_id` appears in a `ChatMessage.files` descriptor of a chat
+      session the user owns or a session publicly shared via
+      `ChatSessionSharedStatus.PUBLIC`.
+    """
+    owns_user_file = db_session.query(
+        select(UserFile.id)
+        .where(UserFile.file_id == file_id, UserFile.user_id == user_id)
+        .exists()
+    ).scalar()
+    if owns_user_file:
+        return True
+
+    # TODO: move persona avatars to a dedicated endpoint (e.g.
+    # /assistants/{id}/avatar) so this branch can be removed. /chat/file is
+    # currently overloaded with multiple asset classes (user files, chat
+    # attachments, tool outputs, avatars), forcing this access-check fan-out.
+    #
+    # Restrict the avatar path to CHAT_UPLOAD-origin files so an attacker
+    # cannot bind another user's USER_FILE (or any other origin) to their
+    # own persona and read it through this check.
+    is_persona_avatar = db_session.query(
+        select(Persona.id)
+        .join(FileRecord, FileRecord.file_id == Persona.uploaded_image_id)
+        .where(
+            Persona.uploaded_image_id == file_id,
+            FileRecord.file_origin == FileOrigin.CHAT_UPLOAD,
+        )
+        .exists()
+    ).scalar()
+    if is_persona_avatar:
+        return True
+
+    chat_file_stmt = (
+        select(ChatMessage.id)
+        .join(ChatSession, ChatMessage.chat_session_id == ChatSession.id)
+        .where(ChatMessage.files.op("@>")([{"id": file_id}]))
+        .where(
+            or_(
+                ChatSession.user_id == user_id,
+                ChatSession.shared_status == ChatSessionSharedStatus.PUBLIC,
+            )
+        )
+        .limit(1)
+    )
+    return db_session.execute(chat_file_stmt).first() is not None
+
+
 def get_file_ids_by_user_file_ids(
     user_file_ids: list[UUID], db_session: Session
 ) -> list[str]:

backend/onyx/file_store/file_store.py

@@ -136,12 +136,14 @@ class FileStore(ABC):
         """
 
     @abstractmethod
-    def delete_file(self, file_id: str) -> None:
+    def delete_file(self, file_id: str, error_on_missing: bool = True) -> None:
         """
         Delete a file by its ID.
 
         Parameters:
-        - file_name: Name of file to delete
+        - file_id: ID of file to delete
+        - error_on_missing: If False, silently return when the file record
+          does not exist instead of raising.
         """
 
     @abstractmethod
@@ -452,13 +454,23 @@ class S3BackedFileStore(FileStore):
             logger.warning(f"Error getting file size for {file_id}: {e}")
             return None
 
-    def delete_file(self, file_id: str, db_session: Session | None = None) -> None:
+    def delete_file(
+        self,
+        file_id: str,
+        error_on_missing: bool = True,
+        db_session: Session | None = None,
+    ) -> None:
         with get_session_with_current_tenant_if_none(db_session) as db_session:
             try:
-
-                file_record = get_filerecord_by_file_id(
+                file_record = get_filerecord_by_file_id_optional(
                     file_id=file_id, db_session=db_session
                 )
+                if file_record is None:
+                    if error_on_missing:
+                        raise RuntimeError(
+                            f"File by id {file_id} does not exist or was deleted"
+                        )
+                    return
                 if not file_record.bucket_name:
                     logger.error(
                         f"File record {file_id} with key {file_record.object_key} "

backend/onyx/file_store/postgres_file_store.py

@@ -223,12 +223,23 @@ class PostgresBackedFileStore(FileStore):
             logger.warning(f"Error getting file size for {file_id}: {e}")
             return None
 
-    def delete_file(self, file_id: str, db_session: Session | None = None) -> None:
+    def delete_file(
+        self,
+        file_id: str,
+        error_on_missing: bool = True,
+        db_session: Session | None = None,
+    ) -> None:
         with get_session_with_current_tenant_if_none(db_session) as session:
             try:
-                file_content = get_file_content_by_file_id(
+                file_content = get_file_content_by_file_id_optional(
                     file_id=file_id, db_session=session
                 )
+                if file_content is None:
+                    if error_on_missing:
+                        raise RuntimeError(
+                            f"File content for file_id {file_id} does not exist or was deleted"
+                        )
+                    return
                 raw_conn = _get_raw_connection(session)
 
                 try:

backend/onyx/llm/model_metadata_enrichments.json

@@ -1516,6 +1516,10 @@
     "display_name": "Claude Opus 4.6",
     "model_vendor": "anthropic"
   },
+  "claude-opus-4-7": {
+    "display_name": "Claude Opus 4.7",
+    "model_vendor": "anthropic"
+  },
   "claude-opus-4-5-20251101": {
     "display_name": "Claude Opus 4.5",
     "model_vendor": "anthropic",

backend/onyx/llm/models.py

@@ -46,6 +46,15 @@ ANTHROPIC_REASONING_EFFORT_BUDGET: dict[ReasoningEffort, int] = {
     ReasoningEffort.HIGH: 4096,
 }
 
+# Newer Anthropic models (Claude Opus 4.7+) use adaptive thinking with
+# output_config.effort instead of thinking.type.enabled + budget_tokens.
+ANTHROPIC_ADAPTIVE_REASONING_EFFORT: dict[ReasoningEffort, str] = {
+    ReasoningEffort.AUTO: "medium",
+    ReasoningEffort.LOW: "low",
+    ReasoningEffort.MEDIUM: "medium",
+    ReasoningEffort.HIGH: "high",
+}
+
 
 # Content part structures for multimodal messages
 # The classes in this mirror the OpenAI Chat Completions message types and work well with routers like LiteLLM

backend/onyx/llm/multi_llm.py

@@ -23,6 +23,7 @@ from onyx.llm.interfaces import ToolChoiceOptions
 from onyx.llm.model_response import ModelResponse
 from onyx.llm.model_response import ModelResponseStream
 from onyx.llm.model_response import Usage
+from onyx.llm.models import ANTHROPIC_ADAPTIVE_REASONING_EFFORT
 from onyx.llm.models import ANTHROPIC_REASONING_EFFORT_BUDGET
 from onyx.llm.models import OPENAI_REASONING_EFFORT
 from onyx.llm.request_context import get_llm_mock_response
@@ -67,8 +68,13 @@ STANDARD_MAX_TOKENS_KWARG = "max_completion_tokens"
 _VERTEX_ANTHROPIC_MODELS_REJECTING_OUTPUT_CONFIG = (
     "claude-opus-4-5",
     "claude-opus-4-6",
+    "claude-opus-4-7",
 )
 
+# Anthropic models that require the adaptive thinking API (thinking.type.adaptive
+# + output_config.effort) instead of the legacy thinking.type.enabled + budget_tokens.
+_ANTHROPIC_ADAPTIVE_THINKING_MODELS = ("claude-opus-4-7",)
+
 
 class LLMTimeoutError(Exception):
     """
@@ -193,6 +199,29 @@ def _is_vertex_model_rejecting_output_config(model_name: str) -> bool:
     )
 
 
+def _prompt_contains_tool_call_history(prompt: LanguageModelInput) -> bool:
+    """Check if the prompt contains any assistant messages with tool_calls.
+
+    When Anthropic's extended thinking is enabled, the API requires every
+    assistant message to start with a thinking block before any tool_use
+    blocks.  Since we don't preserve thinking_blocks (they carry
+    cryptographic signatures that can't be reconstructed), we must skip
+    the thinking param whenever history contains prior tool-calling turns.
+    """
+    from onyx.llm.models import AssistantMessage
+
+    msgs = prompt if isinstance(prompt, list) else [prompt]
+    return any(isinstance(msg, AssistantMessage) and msg.tool_calls for msg in msgs)
+
+
+def _anthropic_uses_adaptive_thinking(model_name: str) -> bool:
+    normalized_model_name = model_name.lower()
+    return any(
+        adaptive_model in normalized_model_name
+        for adaptive_model in _ANTHROPIC_ADAPTIVE_THINKING_MODELS
+    )
+
+
 class LitellmLLM(LLM):
     """Uses Litellm library to allow easy configuration to use a multitude of LLMs
     See https://python.langchain.com/docs/integrations/chat/litellm"""
@@ -445,22 +474,42 @@ class LitellmLLM(LLM):
                     }
 
             elif is_claude_model:
-                budget_tokens: int | None = ANTHROPIC_REASONING_EFFORT_BUDGET.get(
-                    reasoning_effort
-                )
+                # Anthropic requires every assistant message with tool_use
+                # blocks to start with a thinking block that carries a
+                # cryptographic signature.  We don't preserve those blocks
+                # across turns, so skip thinking when the history already
+                # contains tool-calling assistant messages.  LiteLLM's
+                # modify_params workaround doesn't cover all providers
+                # (notably Bedrock).
+                has_tool_call_history = _prompt_contains_tool_call_history(prompt)
 
-                if budget_tokens is not None:
-                    if max_tokens is not None:
-                        # Anthropic has a weird rule where max token has to be at least as much as budget tokens if set
-                        # and the minimum budget tokens is 1024
-                        # Will note that overwriting a developer set max tokens is not ideal but is the best we can do for now
-                        # It is better to allow the LLM to output more reasoning tokens even if it results in a fairly small tool
-                        # call as compared to reducing the budget for reasoning.
-                        max_tokens = max(budget_tokens + 1, max_tokens)
-                    optional_kwargs["thinking"] = {
-                        "type": "enabled",
-                        "budget_tokens": budget_tokens,
-                    }
+                if _anthropic_uses_adaptive_thinking(self.config.model_name):
+                    # Newer Anthropic models (Claude Opus 4.7+) reject
+                    # thinking.type.enabled — they require the adaptive
+                    # thinking config with output_config.effort.
+                    if not has_tool_call_history:
+                        optional_kwargs["thinking"] = {"type": "adaptive"}
+                        optional_kwargs["output_config"] = {
+                            "effort": ANTHROPIC_ADAPTIVE_REASONING_EFFORT[
+                                reasoning_effort
+                            ],
+                        }
+                else:
+                    budget_tokens: int | None = ANTHROPIC_REASONING_EFFORT_BUDGET.get(
+                        reasoning_effort
+                    )
+                    if budget_tokens is not None and not has_tool_call_history:
+                        if max_tokens is not None:
+                            # Anthropic has a weird rule where max token has to be at least as much as budget tokens if set
+                            # and the minimum budget tokens is 1024
+                            # Will note that overwriting a developer set max tokens is not ideal but is the best we can do for now
+                            # It is better to allow the LLM to output more reasoning tokens even if it results in a fairly small tool
+                            # call as compared to reducing the budget for reasoning.
+                            max_tokens = max(budget_tokens + 1, max_tokens)
+                        optional_kwargs["thinking"] = {
+                            "type": "enabled",
+                            "budget_tokens": budget_tokens,
+                        }
 
                 # LiteLLM just does some mapping like this anyway but is incomplete for Anthropic
                 optional_kwargs.pop("reasoning_effort", None)

backend/onyx/llm/well_known_providers/recommended-models.json

@@ -1,6 +1,6 @@
 {
-  "version": "1.1",
-  "updated_at": "2026-03-05T00:00:00Z",
+  "version": "1.2",
+  "updated_at": "2026-04-16T00:00:00Z",
   "providers": {
     "openai": {
       "default_model": { "name": "gpt-5.4" },
@@ -10,8 +10,12 @@
       ]
     },
     "anthropic": {
-      "default_model": "claude-opus-4-6",
+      "default_model": "claude-opus-4-7",
       "additional_visible_models": [
+        {
+          "name": "claude-opus-4-7",
+          "display_name": "Claude Opus 4.7"
+        },
         {
           "name": "claude-opus-4-6",
           "display_name": "Claude Opus 4.6"

backend/onyx/server/manage/llm/api.py

@@ -103,6 +103,43 @@ def _mask_string(value: str) -> str:
     return value[:4] + "****" + value[-4:]
 
 
+def _resolve_api_key(
+    api_key: str | None,
+    provider_name: str | None,
+    api_base: str | None,
+    db_session: Session,
+) -> str | None:
+    """Return the real API key for model-fetch endpoints.
+
+    When editing an existing provider the form value is masked (e.g.
+    ``sk-a****b1c2``).  If *provider_name* is supplied we can look up
+    the unmasked key from the database so the external request succeeds.
+
+    The stored key is only returned when the request's *api_base*
+    matches the value stored in the database.
+    """
+    if not provider_name:
+        return api_key
+
+    existing_provider = fetch_existing_llm_provider(
+        name=provider_name, db_session=db_session
+    )
+    if existing_provider and existing_provider.api_key:
+        # Normalise both URLs before comparing so trailing-slash
+        # differences don't cause a false mismatch.
+        stored_base = (existing_provider.api_base or "").strip().rstrip("/")
+        request_base = (api_base or "").strip().rstrip("/")
+        if stored_base != request_base:
+            return api_key
+
+        stored_key = existing_provider.api_key.get_value(apply_mask=False)
+        # Only resolve when the incoming value is the masked form of the
+        # stored key — i.e. the user hasn't typed a new key.
+        if api_key and api_key == _mask_string(stored_key):
+            return stored_key
+    return api_key
+
+
 def _sync_fetched_models(
     db_session: Session,
     provider_name: str,
@@ -1145,16 +1182,17 @@ def get_ollama_available_models(
     return sorted_results
 
 
-def _get_openrouter_models_response(api_base: str, api_key: str) -> dict:
+def _get_openrouter_models_response(api_base: str, api_key: str | None) -> dict:
     """Perform GET to OpenRouter /models and return parsed JSON."""
     cleaned_api_base = api_base.strip().rstrip("/")
     url = f"{cleaned_api_base}/models"
-    headers = {
-        "Authorization": f"Bearer {api_key}",
+    headers: dict[str, str] = {
         # Optional headers recommended by OpenRouter for attribution
         "HTTP-Referer": "https://onyx.app",
         "X-Title": "Onyx",
     }
+    if api_key:
+        headers["Authorization"] = f"Bearer {api_key}"
     try:
         response = httpx.get(url, headers=headers, timeout=10.0)
         response.raise_for_status()
@@ -1177,8 +1215,12 @@ def get_openrouter_available_models(
     Parses id, name (display), context_length, and architecture.input_modalities.
     """
 
+    api_key = _resolve_api_key(
+        request.api_key, request.provider_name, request.api_base, db_session
+    )
+
     response_json = _get_openrouter_models_response(
-        api_base=request.api_base, api_key=request.api_key
+        api_base=request.api_base, api_key=api_key
     )
 
     data = response_json.get("data", [])
@@ -1271,13 +1313,23 @@ def get_lm_studio_available_models(
 
     # If provider_name is given and the api_key hasn't been changed by the user,
     # fall back to the stored API key from the database (the form value is masked).
+    # Only do so when the api_base matches what is stored.
     api_key = request.api_key
     if request.provider_name and not request.api_key_changed:
         existing_provider = fetch_existing_llm_provider(
             name=request.provider_name, db_session=db_session
         )
         if existing_provider and existing_provider.custom_config:
-            api_key = existing_provider.custom_config.get(LM_STUDIO_API_KEY_CONFIG_KEY)
+            stored_base = (
+                (existing_provider.api_base or "")
+                .strip()
+                .rstrip("/")
+                .removesuffix("/v1")
+            )
+            if stored_base == cleaned_api_base:
+                api_key = existing_provider.custom_config.get(
+                    LM_STUDIO_API_KEY_CONFIG_KEY
+                )
 
     url = f"{cleaned_api_base}/api/v1/models"
     headers: dict[str, str] = {}
@@ -1361,8 +1413,12 @@ def get_litellm_available_models(
     db_session: Session = Depends(get_session),
 ) -> list[LitellmFinalModelResponse]:
     """Fetch available models from Litellm proxy /v1/models endpoint."""
+    api_key = _resolve_api_key(
+        request.api_key, request.provider_name, request.api_base, db_session
+    )
+
     response_json = _get_litellm_models_response(
-        api_key=request.api_key, api_base=request.api_base
+        api_key=api_key, api_base=request.api_base
     )
 
     models = response_json.get("data", [])
@@ -1419,16 +1475,17 @@ def get_litellm_available_models(
     return sorted_results
 
 
-def _get_litellm_models_response(api_key: str, api_base: str) -> dict:
+def _get_litellm_models_response(api_key: str | None, api_base: str) -> dict:
     """Perform GET to Litellm proxy /api/v1/models and return parsed JSON."""
     cleaned_api_base = api_base.strip().rstrip("/")
     url = f"{cleaned_api_base}/v1/models"
 
     headers = {
-        "Authorization": f"Bearer {api_key}",
         "HTTP-Referer": "https://onyx.app",
         "X-Title": "Onyx",
     }
+    if api_key:
+        headers["Authorization"] = f"Bearer {api_key}"
 
     try:
         response = httpx.get(url, headers=headers, timeout=10.0)

backend/onyx/server/query_and_chat/chat_backend.py

@@ -60,6 +60,9 @@ from onyx.db.persona import get_persona_by_id
 from onyx.db.usage import increment_usage
 from onyx.db.usage import UsageType
 from onyx.db.user_file import get_file_id_by_user_file_id
+from onyx.db.user_file import user_can_access_chat_file
+from onyx.error_handling.error_codes import OnyxErrorCode
+from onyx.error_handling.exceptions import OnyxError
 from onyx.file_store.file_store import get_default_file_store
 from onyx.llm.constants import LlmProviderNames
 from onyx.llm.factory import get_default_llm
@@ -796,14 +799,18 @@ def seed_chat_from_slack(
 def fetch_chat_file(
     file_id: str,
     request: Request,
-    _: User = Depends(current_user),
+    user: User = Depends(current_user),
     db_session: Session = Depends(get_session),
 ) -> Response:
 
     # For user files, we need to get the file id from the user file id
-    file_id_from_user_file = get_file_id_by_user_file_id(file_id, db_session)
+    file_id_from_user_file = get_file_id_by_user_file_id(file_id, user.id, db_session)
     if file_id_from_user_file:
         file_id = file_id_from_user_file
+    elif not user_can_access_chat_file(file_id, user.id, db_session):
+        # Return 404 (rather than 403) so callers cannot probe for file
+        # existence across ownership boundaries.
+        raise OnyxError(OnyxErrorCode.NOT_FOUND, "File not found")
 
     file_store = get_default_file_store()
     file_record = file_store.read_file_record(file_id)

backend/requirements/default.txt

@@ -229,7 +229,9 @@ distro==1.9.0
 dnspython==2.8.0
     # via email-validator
 docstring-parser==0.17.0
-    # via cyclopts
+    # via
+    #   cyclopts
+    #   google-cloud-aiplatform
 docutils==0.22.3
     # via rich-rst
 dropbox==12.0.2
@@ -294,7 +296,13 @@ gitdb==4.0.12
 gitpython==3.1.45
     # via braintrust
 google-api-core==2.28.1
-    # via google-api-python-client
+    # via
+    #   google-api-python-client
+    #   google-cloud-aiplatform
+    #   google-cloud-bigquery
+    #   google-cloud-core
+    #   google-cloud-resource-manager
+    #   google-cloud-storage
 google-api-python-client==2.86.0
     # via onyx
 google-auth==2.48.0
@@ -303,6 +311,11 @@ google-auth==2.48.0
     #   google-api-python-client
     #   google-auth-httplib2
     #   google-auth-oauthlib
+    #   google-cloud-aiplatform
+    #   google-cloud-bigquery
+    #   google-cloud-core
+    #   google-cloud-resource-manager
+    #   google-cloud-storage
     #   google-genai
     #   kubernetes
 google-auth-httplib2==0.1.0
@@ -311,16 +324,51 @@ google-auth-httplib2==0.1.0
     #   onyx
 google-auth-oauthlib==1.0.0
     # via onyx
+google-cloud-aiplatform==1.133.0
+    # via litellm
+google-cloud-bigquery==3.41.0
+    # via google-cloud-aiplatform
+google-cloud-core==2.5.1
+    # via
+    #   google-cloud-bigquery
+    #   google-cloud-storage
+google-cloud-resource-manager==1.17.0
+    # via google-cloud-aiplatform
+google-cloud-storage==3.10.1
+    # via google-cloud-aiplatform
+google-crc32c==1.8.0
+    # via
+    #   google-cloud-storage
+    #   google-resumable-media
 google-genai==1.52.0
-    # via onyx
+    # via
+    #   google-cloud-aiplatform
+    #   onyx
+google-resumable-media==2.8.2
+    # via
+    #   google-cloud-bigquery
+    #   google-cloud-storage
 googleapis-common-protos==1.72.0
     # via
     #   google-api-core
+    #   grpc-google-iam-v1
+    #   grpcio-status
     #   opentelemetry-exporter-otlp-proto-http
 greenlet==3.2.4
     # via
     #   playwright
     #   sqlalchemy
+grpc-google-iam-v1==0.14.4
+    # via google-cloud-resource-manager
+grpcio==1.80.0
+    # via
+    #   google-api-core
+    #   google-cloud-resource-manager
+    #   googleapis-common-protos
+    #   grpc-google-iam-v1
+    #   grpcio-status
+grpcio-status==1.80.0
+    # via google-api-core
 h11==0.16.0
     # via
     #   httpcore
@@ -621,6 +669,8 @@ packaging==24.2
     #   dask
     #   distributed
     #   fastmcp
+    #   google-cloud-aiplatform
+    #   google-cloud-bigquery
     #   huggingface-hub
     #   jira
     #   kombu
@@ -670,12 +720,19 @@ propcache==0.4.1
     #   aiohttp
     #   yarl
 proto-plus==1.26.1
-    # via google-api-core
+    # via
+    #   google-api-core
+    #   google-cloud-aiplatform
+    #   google-cloud-resource-manager
 protobuf==6.33.5
     # via
     #   ddtrace
     #   google-api-core
+    #   google-cloud-aiplatform
+    #   google-cloud-resource-manager
     #   googleapis-common-protos
+    #   grpc-google-iam-v1
+    #   grpcio-status
     #   onnxruntime
     #   opentelemetry-proto
     #   proto-plus
@@ -713,6 +770,7 @@ pydantic==2.11.7
     #   exa-py
     #   fastapi
     #   fastmcp
+    #   google-cloud-aiplatform
     #   google-genai
     #   langchain-core
     #   langfuse
@@ -776,6 +834,7 @@ python-dateutil==2.8.2
     #   botocore
     #   celery
     #   dateparser
+    #   google-cloud-bigquery
     #   htmldate
     #   hubspot-api-client
     #   kubernetes
@@ -867,6 +926,8 @@ requests==2.32.5
     #   dropbox
     #   exa-py
     #   google-api-core
+    #   google-cloud-bigquery
+    #   google-cloud-storage
     #   google-genai
     #   hubspot-api-client
     #   huggingface-hub
@@ -1054,7 +1115,9 @@ typing-extensions==4.15.0
     #   exa-py
     #   exceptiongroup
     #   fastapi
+    #   google-cloud-aiplatform
     #   google-genai
+    #   grpcio
     #   huggingface-hub
     #   jira
     #   langchain-core

backend/requirements/dev.txt

@@ -115,6 +115,8 @@ distlib==0.4.0
     # via virtualenv
 distro==1.9.0
     # via openai
+docstring-parser==0.17.0
+    # via google-cloud-aiplatform
 durationpy==0.10
     # via kubernetes
 execnet==2.1.2
@@ -143,14 +145,65 @@ frozenlist==1.8.0
     #   aiosignal
 fsspec==2025.10.0
     # via huggingface-hub
+google-api-core==2.28.1
+    # via
+    #   google-cloud-aiplatform
+    #   google-cloud-bigquery
+    #   google-cloud-core
+    #   google-cloud-resource-manager
+    #   google-cloud-storage
 google-auth==2.48.0
     # via
+    #   google-api-core
+    #   google-cloud-aiplatform
+    #   google-cloud-bigquery
+    #   google-cloud-core
+    #   google-cloud-resource-manager
+    #   google-cloud-storage
     #   google-genai
     #   kubernetes
+google-cloud-aiplatform==1.133.0
+    # via litellm
+google-cloud-bigquery==3.41.0
+    # via google-cloud-aiplatform
+google-cloud-core==2.5.1
+    # via
+    #   google-cloud-bigquery
+    #   google-cloud-storage
+google-cloud-resource-manager==1.17.0
+    # via google-cloud-aiplatform
+google-cloud-storage==3.10.1
+    # via google-cloud-aiplatform
+google-crc32c==1.8.0
+    # via
+    #   google-cloud-storage
+    #   google-resumable-media
 google-genai==1.52.0
-    # via onyx
+    # via
+    #   google-cloud-aiplatform
+    #   onyx
+google-resumable-media==2.8.2
+    # via
+    #   google-cloud-bigquery
+    #   google-cloud-storage
+googleapis-common-protos==1.72.0
+    # via
+    #   google-api-core
+    #   grpc-google-iam-v1
+    #   grpcio-status
 greenlet==3.2.4 ; platform_machine == 'AMD64' or platform_machine == 'WIN32' or platform_machine == 'aarch64' or platform_machine == 'amd64' or platform_machine == 'ppc64le' or platform_machine == 'win32' or platform_machine == 'x86_64'
     # via sqlalchemy
+grpc-google-iam-v1==0.14.4
+    # via google-cloud-resource-manager
+grpcio==1.80.0
+    # via
+    #   google-api-core
+    #   google-cloud-resource-manager
+    #   googleapis-common-protos
+    #   grpc-google-iam-v1
+    #   grpcio-status
+grpcio-status==1.80.0
+    # via google-api-core
 h11==0.16.0
     # via
     #   httpcore
@@ -276,6 +329,8 @@ openapi-generator-cli==7.17.0
 packaging==24.2
     # via
     #   black
+    #   google-cloud-aiplatform
+    #   google-cloud-bigquery
     #   hatchling
     #   huggingface-hub
     #   ipykernel
@@ -318,6 +373,20 @@ propcache==0.4.1
     # via
     #   aiohttp
     #   yarl
+proto-plus==1.26.1
+    # via
+    #   google-api-core
+    #   google-cloud-aiplatform
+    #   google-cloud-resource-manager
+protobuf==6.33.5
+    # via
+    #   google-api-core
+    #   google-cloud-aiplatform
+    #   google-cloud-resource-manager
+    #   googleapis-common-protos
+    #   grpc-google-iam-v1
+    #   grpcio-status
+    #   proto-plus
 psutil==7.1.3
     # via ipykernel
 ptyprocess==0.7.0 ; sys_platform != 'emscripten' and sys_platform != 'win32'
@@ -339,6 +408,7 @@ pydantic==2.11.7
     #   agent-client-protocol
     #   cohere
     #   fastapi
+    #   google-cloud-aiplatform
     #   google-genai
     #   litellm
     #   mcp
@@ -379,6 +449,7 @@ python-dateutil==2.8.2
     # via
     #   aiobotocore
     #   botocore
+    #   google-cloud-bigquery
     #   jupyter-client
     #   kubernetes
     #   matplotlib
@@ -413,6 +484,9 @@ reorder-python-imports-black==3.14.0
 requests==2.32.5
     # via
     #   cohere
+    #   google-api-core
+    #   google-cloud-bigquery
+    #   google-cloud-storage
     #   google-genai
     #   huggingface-hub
     #   kubernetes
@@ -525,7 +599,9 @@ typing-extensions==4.15.0
     #   celery-types
     #   cohere
     #   fastapi
+    #   google-cloud-aiplatform
     #   google-genai
+    #   grpcio
     #   huggingface-hub
     #   ipython
     #   mcp

backend/requirements/ee.txt

@@ -86,6 +86,8 @@ discord-py==2.4.0
     # via onyx
 distro==1.9.0
     # via openai
+docstring-parser==0.17.0
+    # via google-cloud-aiplatform
 durationpy==0.10
     # via kubernetes
 fastapi==0.133.1
@@ -102,12 +104,63 @@ frozenlist==1.8.0
     #   aiosignal
 fsspec==2025.10.0
     # via huggingface-hub
+google-api-core==2.28.1
+    # via
+    #   google-cloud-aiplatform
+    #   google-cloud-bigquery
+    #   google-cloud-core
+    #   google-cloud-resource-manager
+    #   google-cloud-storage
 google-auth==2.48.0
     # via
+    #   google-api-core
+    #   google-cloud-aiplatform
+    #   google-cloud-bigquery
+    #   google-cloud-core
+    #   google-cloud-resource-manager
+    #   google-cloud-storage
     #   google-genai
     #   kubernetes
+google-cloud-aiplatform==1.133.0
+    # via litellm
+google-cloud-bigquery==3.41.0
+    # via google-cloud-aiplatform
+google-cloud-core==2.5.1
+    # via
+    #   google-cloud-bigquery
+    #   google-cloud-storage
+google-cloud-resource-manager==1.17.0
+    # via google-cloud-aiplatform
+google-cloud-storage==3.10.1
+    # via google-cloud-aiplatform
+google-crc32c==1.8.0
+    # via
+    #   google-cloud-storage
+    #   google-resumable-media
 google-genai==1.52.0
-    # via onyx
+    # via
+    #   google-cloud-aiplatform
+    #   onyx
+google-resumable-media==2.8.2
+    # via
+    #   google-cloud-bigquery
+    #   google-cloud-storage
+googleapis-common-protos==1.72.0
+    # via
+    #   google-api-core
+    #   grpc-google-iam-v1
+    #   grpcio-status
+grpc-google-iam-v1==0.14.4
+    # via google-cloud-resource-manager
+grpcio==1.80.0
+    # via
+    #   google-api-core
+    #   google-cloud-resource-manager
+    #   googleapis-common-protos
+    #   grpc-google-iam-v1
+    #   grpcio-status
+grpcio-status==1.80.0
+    # via google-api-core
 h11==0.16.0
     # via
     #   httpcore
@@ -178,7 +231,10 @@ openai==2.14.0
     #   litellm
     #   onyx
 packaging==24.2
-    # via huggingface-hub
+    # via
+    #   google-cloud-aiplatform
+    #   google-cloud-bigquery
+    #   huggingface-hub
 parameterized==0.9.0
     # via cohere
 posthog==3.7.4
@@ -193,6 +249,20 @@ propcache==0.4.1
     # via
     #   aiohttp
     #   yarl
+proto-plus==1.26.1
+    # via
+    #   google-api-core
+    #   google-cloud-aiplatform
+    #   google-cloud-resource-manager
+protobuf==6.33.5
+    # via
+    #   google-api-core
+    #   google-cloud-aiplatform
+    #   google-cloud-resource-manager
+    #   googleapis-common-protos
+    #   grpc-google-iam-v1
+    #   grpcio-status
+    #   proto-plus
 py==1.11.0
     # via retry
 pyasn1==0.6.2
@@ -208,6 +278,7 @@ pydantic==2.11.7
     #   agent-client-protocol
     #   cohere
     #   fastapi
+    #   google-cloud-aiplatform
     #   google-genai
     #   litellm
     #   mcp
@@ -224,6 +295,7 @@ python-dateutil==2.8.2
     # via
     #   aiobotocore
     #   botocore
+    #   google-cloud-bigquery
     #   kubernetes
     #   posthog
 python-dotenv==1.1.1
@@ -247,6 +319,9 @@ regex==2025.11.3
 requests==2.32.5
     # via
     #   cohere
+    #   google-api-core
+    #   google-cloud-bigquery
+    #   google-cloud-storage
     #   google-genai
     #   huggingface-hub
     #   kubernetes
@@ -306,7 +381,9 @@ typing-extensions==4.15.0
     #   anyio
     #   cohere
     #   fastapi
+    #   google-cloud-aiplatform
     #   google-genai
+    #   grpcio
     #   huggingface-hub
     #   mcp
     #   openai

backend/requirements/model_server.txt

@@ -102,6 +102,8 @@ discord-py==2.4.0
     # via onyx
 distro==1.9.0
     # via openai
+docstring-parser==0.17.0
+    # via google-cloud-aiplatform
 durationpy==0.10
     # via kubernetes
 einops==0.8.1
@@ -127,12 +129,63 @@ fsspec==2025.10.0
     # via
     #   huggingface-hub
     #   torch
+google-api-core==2.28.1
+    # via
+    #   google-cloud-aiplatform
+    #   google-cloud-bigquery
+    #   google-cloud-core
+    #   google-cloud-resource-manager
+    #   google-cloud-storage
 google-auth==2.48.0
     # via
+    #   google-api-core
+    #   google-cloud-aiplatform
+    #   google-cloud-bigquery
+    #   google-cloud-core
+    #   google-cloud-resource-manager
+    #   google-cloud-storage
     #   google-genai
     #   kubernetes
+google-cloud-aiplatform==1.133.0
+    # via litellm
+google-cloud-bigquery==3.41.0
+    # via google-cloud-aiplatform
+google-cloud-core==2.5.1
+    # via
+    #   google-cloud-bigquery
+    #   google-cloud-storage
+google-cloud-resource-manager==1.17.0
+    # via google-cloud-aiplatform
+google-cloud-storage==3.10.1
+    # via google-cloud-aiplatform
+google-crc32c==1.8.0
+    # via
+    #   google-cloud-storage
+    #   google-resumable-media
 google-genai==1.52.0
-    # via onyx
+    # via
+    #   google-cloud-aiplatform
+    #   onyx
+google-resumable-media==2.8.2
+    # via
+    #   google-cloud-bigquery
+    #   google-cloud-storage
+googleapis-common-protos==1.72.0
+    # via
+    #   google-api-core
+    #   grpc-google-iam-v1
+    #   grpcio-status
+grpc-google-iam-v1==0.14.4
+    # via google-cloud-resource-manager
+grpcio==1.80.0
+    # via
+    #   google-api-core
+    #   google-cloud-resource-manager
+    #   googleapis-common-protos
+    #   grpc-google-iam-v1
+    #   grpcio-status
+grpcio-status==1.80.0
+    # via google-api-core
 h11==0.16.0
     # via
     #   httpcore
@@ -262,6 +315,8 @@ openai==2.14.0
 packaging==24.2
     # via
     #   accelerate
+    #   google-cloud-aiplatform
+    #   google-cloud-bigquery
     #   huggingface-hub
     #   kombu
     #   transformers
@@ -281,6 +336,20 @@ propcache==0.4.1
     # via
     #   aiohttp
     #   yarl
+proto-plus==1.26.1
+    # via
+    #   google-api-core
+    #   google-cloud-aiplatform
+    #   google-cloud-resource-manager
+protobuf==6.33.5
+    # via
+    #   google-api-core
+    #   google-cloud-aiplatform
+    #   google-cloud-resource-manager
+    #   googleapis-common-protos
+    #   grpc-google-iam-v1
+    #   grpcio-status
+    #   proto-plus
 psutil==7.1.3
     # via accelerate
 py==1.11.0
@@ -298,6 +367,7 @@ pydantic==2.11.7
     #   agent-client-protocol
     #   cohere
     #   fastapi
+    #   google-cloud-aiplatform
     #   google-genai
     #   litellm
     #   mcp
@@ -315,6 +385,7 @@ python-dateutil==2.8.2
     #   aiobotocore
     #   botocore
     #   celery
+    #   google-cloud-bigquery
     #   kubernetes
 python-dotenv==1.1.1
     # via
@@ -341,6 +412,9 @@ regex==2025.11.3
 requests==2.32.5
     # via
     #   cohere
+    #   google-api-core
+    #   google-cloud-bigquery
+    #   google-cloud-storage
     #   google-genai
     #   huggingface-hub
     #   kubernetes
@@ -433,7 +507,9 @@ typing-extensions==4.15.0
     #   anyio
     #   cohere
     #   fastapi
+    #   google-cloud-aiplatform
     #   google-genai
+    #   grpcio
     #   huggingface-hub
     #   mcp
     #   openai

backend/tests/integration/tests/permissions/test_user_file_permissions.py

@@ -8,8 +8,10 @@ import io
 from typing import NamedTuple
 
 import pytest
+import requests
 
 from onyx.file_store.models import FileDescriptor
+from tests.integration.common_utils.constants import API_SERVER_URL
 from tests.integration.common_utils.managers.chat import ChatSessionManager
 from tests.integration.common_utils.managers.file import FileManager
 from tests.integration.common_utils.managers.llm_provider import LLMProviderManager
@@ -120,3 +122,31 @@ def test_public_assistant_with_user_files(
     assert (
         len(chat_history) >= 2
     ), "Expected at least 2 messages (user message and assistant response)"
+
+
+def test_cannot_download_other_users_file_via_chat_file_endpoint(
+    user_file_setup: UserFileTestSetup,
+) -> None:
+    storage_file_id = user_file_setup.user1_file_descriptor["id"]
+    user_file_id = user_file_setup.user1_file_id
+
+    owner_response = requests.get(
+        f"{API_SERVER_URL}/chat/file/{storage_file_id}",
+        headers=user_file_setup.user1_file_owner.headers,
+    )
+    assert owner_response.status_code == 200
+    assert owner_response.content, "Owner should receive the file contents"
+
+    for file_id in (storage_file_id, user_file_id):
+        user2_response = requests.get(
+            f"{API_SERVER_URL}/chat/file/{file_id}",
+            headers=user_file_setup.user2_non_owner.headers,
+        )
+        assert user2_response.status_code in (
+            403,
+            404,
+        ), (
+            f"Expected access denied for non-owner, got {user2_response.status_code} "
+            f"when fetching file_id={file_id}"
+        )
+        assert user2_response.content != owner_response.content

backend/tests/unit/onyx/file_store/test_delete_file.py

@@ -0,0 +1,91 @@
+"""Tests for FileStore.delete_file error_on_missing behavior."""
+
+from unittest.mock import MagicMock
+from unittest.mock import patch
+
+import pytest
+
+_S3_MODULE = "onyx.file_store.file_store"
+_PG_MODULE = "onyx.file_store.postgres_file_store"
+
+
+def _mock_db_session() -> MagicMock:
+    session = MagicMock()
+    session.__enter__ = MagicMock(return_value=session)
+    session.__exit__ = MagicMock(return_value=False)
+    return session
+
+
+# ── S3BackedFileStore ────────────────────────────────────────────────
+
+
+@patch(f"{_S3_MODULE}.get_session_with_current_tenant_if_none")
+@patch(f"{_S3_MODULE}.get_filerecord_by_file_id_optional", return_value=None)
+def test_s3_delete_missing_file_raises_by_default(
+    _mock_get_record: MagicMock,
+    mock_ctx: MagicMock,
+) -> None:
+    from onyx.file_store.file_store import S3BackedFileStore
+
+    mock_ctx.return_value = _mock_db_session()
+    store = S3BackedFileStore(bucket_name="b")
+
+    with pytest.raises(RuntimeError, match="does not exist"):
+        store.delete_file("nonexistent")
+
+
+@patch(f"{_S3_MODULE}.get_session_with_current_tenant_if_none")
+@patch(f"{_S3_MODULE}.get_filerecord_by_file_id_optional", return_value=None)
+@patch(f"{_S3_MODULE}.delete_filerecord_by_file_id")
+def test_s3_delete_missing_file_silent_when_error_on_missing_false(
+    mock_delete_record: MagicMock,
+    _mock_get_record: MagicMock,
+    mock_ctx: MagicMock,
+) -> None:
+    from onyx.file_store.file_store import S3BackedFileStore
+
+    mock_ctx.return_value = _mock_db_session()
+    store = S3BackedFileStore(bucket_name="b")
+
+    store.delete_file("nonexistent", error_on_missing=False)
+
+    mock_delete_record.assert_not_called()
+
+
+# ── PostgresBackedFileStore ──────────────────────────────────────────
+
+
+@patch(f"{_PG_MODULE}.get_session_with_current_tenant_if_none")
+@patch(f"{_PG_MODULE}.get_file_content_by_file_id_optional", return_value=None)
+def test_pg_delete_missing_file_raises_by_default(
+    _mock_get_content: MagicMock,
+    mock_ctx: MagicMock,
+) -> None:
+    from onyx.file_store.postgres_file_store import PostgresBackedFileStore
+
+    mock_ctx.return_value = _mock_db_session()
+    store = PostgresBackedFileStore()
+
+    with pytest.raises(RuntimeError, match="does not exist"):
+        store.delete_file("nonexistent")
+
+
+@patch(f"{_PG_MODULE}.get_session_with_current_tenant_if_none")
+@patch(f"{_PG_MODULE}.get_file_content_by_file_id_optional", return_value=None)
+@patch(f"{_PG_MODULE}.delete_file_content_by_file_id")
+@patch(f"{_PG_MODULE}.delete_filerecord_by_file_id")
+def test_pg_delete_missing_file_silent_when_error_on_missing_false(
+    mock_delete_record: MagicMock,
+    mock_delete_content: MagicMock,
+    _mock_get_content: MagicMock,
+    mock_ctx: MagicMock,
+) -> None:
+    from onyx.file_store.postgres_file_store import PostgresBackedFileStore
+
+    mock_ctx.return_value = _mock_db_session()
+    store = PostgresBackedFileStore()
+
+    store.delete_file("nonexistent", error_on_missing=False)
+
+    mock_delete_record.assert_not_called()
+    mock_delete_content.assert_not_called()

backend/tests/unit/onyx/llm/test_multi_llm.py

@@ -28,6 +28,7 @@ from onyx.llm.utils import get_max_input_tokens
 VERTEX_OPUS_MODELS_REJECTING_OUTPUT_CONFIG = [
     "claude-opus-4-5@20251101",
     "claude-opus-4-6",
+    "claude-opus-4-7",
 ]
 
 

backend/tests/unit/onyx/server/manage/llm/test_fetch_models_api.py

@@ -503,6 +503,7 @@ class TestGetLMStudioAvailableModels:
 
         mock_session = MagicMock()
         mock_provider = MagicMock()
+        mock_provider.api_base = "http://localhost:1234"
         mock_provider.custom_config = {"LM_STUDIO_API_KEY": "stored-secret"}
 
         response = {

pyproject.toml

@@ -12,7 +12,7 @@ dependencies = [
     "cohere==5.6.1",
     "fastapi==0.133.1",
     "google-genai==1.52.0",
-    "litellm==1.81.6",
+    "litellm[google]==1.81.6",
     "openai==2.14.0",
     "pydantic==2.11.7",
     "prometheus_client>=0.21.1",
@@ -237,7 +237,7 @@ line-length = 130
 target-version = "py311"
 
 [tool.ruff.lint]
-ignore = []
+ignore = ["E501"]
 select = [
   "ARG",
   "E",

uv.lock

@@ -2107,6 +2107,12 @@ wheels = [
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     { name = "langchain-core", marker = "extra == 'backend'", specifier = "==1.2.11" },
     { name = "langfuse", marker = "extra == 'backend'", specifier = "==3.10.0" },
     { name = "lazy-imports", marker = "extra == 'backend'", specifier = "==1.0.1" },
-    { name = "litellm", specifier = "==1.81.6" },
+    { name = "litellm", extras = ["google"], specifier = "==1.81.6" },
     { name = "lxml", marker = "extra == 'backend'", specifier = "==5.3.0" },
     { name = "mako", marker = "extra == 'backend'", specifier = "==1.2.4" },
     { name = "manygo", marker = "extra == 'dev'", specifier = "==0.2.0" },

web/src/app/craft/onboarding/components/OnboardingLlmSetup.tsx

@@ -34,7 +34,8 @@ export const PROVIDERS: ProviderConfig[] = [
     providerName: LLMProviderName.ANTHROPIC,
     recommended: true,
     models: [
-      { name: "claude-opus-4-6", label: "Claude Opus 4.6", recommended: true },
+      { name: "claude-opus-4-7", label: "Claude Opus 4.7", recommended: true },
+      { name: "claude-opus-4-6", label: "Claude Opus 4.6" },
       { name: "claude-sonnet-4-6", label: "Claude Sonnet 4.6" },
     ],
     apiKeyPlaceholder: "sk-ant-...",

web/src/app/craft/onboarding/constants.ts

@@ -5,12 +5,12 @@
 export interface BuildLlmSelection {
   providerName: string; // e.g., "build-mode-anthropic" (LLMProviderDescriptor.name)
   provider: string; // e.g., "anthropic"
-  modelName: string; // e.g., "claude-opus-4-6"
+  modelName: string; // e.g., "claude-opus-4-7"
 }
 
 // Priority order for smart default LLM selection
 const LLM_SELECTION_PRIORITY = [
-  { provider: "anthropic", modelName: "claude-opus-4-6" },
+  { provider: "anthropic", modelName: "claude-opus-4-7" },
   { provider: "openai", modelName: "gpt-5.2" },
   { provider: "openrouter", modelName: "minimax/minimax-m2.1" },
 ] as const;
@@ -63,10 +63,11 @@ export function getDefaultLlmSelection(
 export const RECOMMENDED_BUILD_MODELS = {
   preferred: {
     provider: "anthropic",
-    modelName: "claude-opus-4-6",
-    displayName: "Claude Opus 4.6",
+    modelName: "claude-opus-4-7",
+    displayName: "Claude Opus 4.7",
   },
   alternatives: [
+    { provider: "anthropic", modelName: "claude-opus-4-6" },
     { provider: "anthropic", modelName: "claude-sonnet-4-6" },
     { provider: "openai", modelName: "gpt-5.2" },
     { provider: "openai", modelName: "gpt-5.1-codex" },
@@ -148,7 +149,8 @@ export const BUILD_MODE_PROVIDERS: BuildModeProvider[] = [
     providerName: "anthropic",
     recommended: true,
     models: [
-      { name: "claude-opus-4-6", label: "Claude Opus 4.6", recommended: true },
+      { name: "claude-opus-4-7", label: "Claude Opus 4.7", recommended: true },
+      { name: "claude-opus-4-6", label: "Claude Opus 4.6" },
       { name: "claude-sonnet-4-6", label: "Claude Sonnet 4.6" },
     ],
     apiKeyPlaceholder: "sk-ant-...",