feat(admin): add GET /manage/users/accepted/all endpoint

Returns all accepted users without pagination for client-side
filtering and sorting in the admin Users table.

.github/workflows/storybook-deploy.yml

@@ -48,7 +48,7 @@ jobs:
 
       - name: Deploy to Vercel (Production)
         working-directory: web
-        run: npx --yes "$VERCEL_CLI" deploy storybook-static/ --prod --yes
+        run: npx --yes "$VERCEL_CLI" deploy storybook-static/ --prod --yes --token="$VERCEL_TOKEN"
 
   notify-slack-on-failure:
     needs: Deploy-Storybook

backend/alembic/versions/27fb147a843f_add_timestamps_to_user_table.py

@@ -0,0 +1,43 @@
+"""add timestamps to user table
+
+Revision ID: 27fb147a843f
+Revises: a3b8d9e2f1c4
+Create Date: 2026-03-08 17:18:40.828644
+
+"""
+
+from alembic import op
+import sqlalchemy as sa
+
+
+# revision identifiers, used by Alembic.
+revision = "27fb147a843f"
+down_revision = "a3b8d9e2f1c4"
+branch_labels = None
+depends_on = None
+
+
+def upgrade() -> None:
+    op.add_column(
+        "user",
+        sa.Column(
+            "created_at",
+            sa.DateTime(timezone=True),
+            server_default=sa.func.now(),
+            nullable=False,
+        ),
+    )
+    op.add_column(
+        "user",
+        sa.Column(
+            "updated_at",
+            sa.DateTime(timezone=True),
+            server_default=sa.func.now(),
+            nullable=False,
+        ),
+    )
+
+
+def downgrade() -> None:
+    op.drop_column("user", "updated_at")
+    op.drop_column("user", "created_at")

backend/ee/onyx/external_permissions/jira/group_sync.py

@@ -1,6 +1,8 @@
 from collections.abc import Generator
+from typing import Any
 
 from jira import JIRA
+from jira.exceptions import JIRAError
 
 from ee.onyx.db.external_perm import ExternalUserGroup
 from onyx.connectors.jira.utils import build_jira_client
@@ -9,107 +11,102 @@ from onyx.utils.logger import setup_logger
 
 logger = setup_logger()
 
+_ATLASSIAN_ACCOUNT_TYPE = "atlassian"
+_GROUP_MEMBER_PAGE_SIZE = 50
 
-def _get_jira_group_members_email(
+# The GET /group/member endpoint was introduced in Jira 6.0.
+# Jira versions older than 6.0 do not have group management REST APIs at all.
+_MIN_JIRA_VERSION_FOR_GROUP_MEMBER = "6.0"
+
+
+def _fetch_group_member_page(
     jira_client: JIRA,
     group_name: str,
-) -> list[str]:
-    """Get all member emails for a Jira group.
+    start_at: int,
+) -> dict[str, Any]:
+    """Fetch a single page from the non-deprecated GET /group/member endpoint.
 
-    Filters out app accounts (bots, integrations) and only returns real user emails.
+    The old GET /group endpoint (used by jira_client.group_members()) is deprecated
+    and decommissioned in Jira Server 10.3+. This uses the replacement endpoint
+    directly via the library's internal _get_json helper, following the same pattern
+    as enhanced_search_ids / bulk_fetch_issues in connector.py.
+
+    There is an open PR to the library to switch to this endpoint since last year:
+    https://github.com/pycontribs/jira/pull/2356
+    so once it is merged and released, we can switch to using the library function.
     """
-    emails: list[str] = []
-
     try:
-        # group_members returns an OrderedDict of account_id -> member_info
-        members = jira_client.group_members(group=group_name)
-
-        if not members:
-            logger.warning(f"No members found for group {group_name}")
-            return emails
-
-        for account_id, member_info in members.items():
-            # member_info is a dict with keys like 'fullname', 'email', 'active'
-            email = member_info.get("email")
-
-            # Skip "hidden" emails - these are typically app accounts
-            if email and email != "hidden":
-                emails.append(email)
-            else:
-                # For cloud, we might need to fetch user details separately
-                try:
-                    user = jira_client.user(id=account_id)
-
-                    # Skip app accounts (bots, integrations, etc.)
-                    if hasattr(user, "accountType") and user.accountType == "app":
-                        logger.info(
-                            f"Skipping app account {account_id} for group {group_name}"
-                        )
-                        continue
-
-                    if hasattr(user, "emailAddress") and user.emailAddress:
-                        emails.append(user.emailAddress)
-                    else:
-                        logger.warning(f"User {account_id} has no email address")
-                except Exception as e:
-                    logger.warning(
-                        f"Could not fetch email for user {account_id} in group {group_name}: {e}"
-                    )
-
-    except Exception as e:
-        logger.error(f"Error fetching members for group {group_name}: {e}")
-
-    return emails
+        return jira_client._get_json(
+            "group/member",
+            params={
+                "groupname": group_name,
+                "includeInactiveUsers": "false",
+                "startAt": start_at,
+                "maxResults": _GROUP_MEMBER_PAGE_SIZE,
+            },
+        )
+    except JIRAError as e:
+        if e.status_code == 404:
+            raise RuntimeError(
+                f"GET /group/member returned 404 for group '{group_name}'. "
+                f"This endpoint requires Jira {_MIN_JIRA_VERSION_FOR_GROUP_MEMBER}+. "
+                f"If you are running a self-hosted Jira instance, please upgrade "
+                f"to at least Jira {_MIN_JIRA_VERSION_FOR_GROUP_MEMBER}."
+            ) from e
+        raise
 
 
-def _build_group_member_email_map(
+def _get_group_member_emails(
     jira_client: JIRA,
-) -> dict[str, set[str]]:
-    """Build a map of group names to member emails."""
-    group_member_emails: dict[str, set[str]] = {}
+    group_name: str,
+) -> set[str]:
+    """Get all member emails for a single Jira group.
 
-    try:
-        # Get all groups from Jira - returns a list of group name strings
-        group_names = jira_client.groups()
+    Uses the non-deprecated GET /group/member endpoint which returns full user
+    objects including accountType, so we can filter out app/customer accounts
+    without making separate user() calls.
+    """
+    emails: set[str] = set()
+    start_at = 0
 
-        if not group_names:
-            logger.warning("No groups found in Jira")
-            return group_member_emails
+    while True:
+        try:
+            page = _fetch_group_member_page(jira_client, group_name, start_at)
+        except Exception as e:
+            logger.error(f"Error fetching members for group {group_name}: {e}")
+            raise
 
-        logger.info(f"Found {len(group_names)} groups in Jira")
-
-        for group_name in group_names:
-            if not group_name:
+        members: list[dict[str, Any]] = page.get("values", [])
+        for member in members:
+            account_type = member.get("accountType")
+            # On Jira DC < 9.0, accountType is absent; include those users.
+            # On Cloud / DC 9.0+, filter to real user accounts only.
+            if account_type is not None and account_type != _ATLASSIAN_ACCOUNT_TYPE:
                 continue
 
-            member_emails = _get_jira_group_members_email(
-                jira_client=jira_client,
-                group_name=group_name,
-            )
-
-            if member_emails:
-                group_member_emails[group_name] = set(member_emails)
-                logger.debug(
-                    f"Found {len(member_emails)} members for group {group_name}"
-                )
+            email = member.get("emailAddress")
+            if email:
+                emails.add(email)
             else:
-                logger.debug(f"No members found for group {group_name}")
+                logger.warning(
+                    f"Atlassian user {member.get('accountId', 'unknown')} "
+                    f"in group {group_name} has no visible email address"
+                )
 
-    except Exception as e:
-        logger.error(f"Error building group member email map: {e}")
+        if page.get("isLast", True) or not members:
+            break
+        start_at += len(members)
 
-    return group_member_emails
+    return emails
 
 
 def jira_group_sync(
     tenant_id: str,  # noqa: ARG001
     cc_pair: ConnectorCredentialPair,
 ) -> Generator[ExternalUserGroup, None, None]:
-    """
-    Sync Jira groups and their members.
+    """Sync Jira groups and their members, yielding one group at a time.
 
-    This function fetches all groups from Jira and yields ExternalUserGroup
-    objects containing the group ID and member emails.
+    Streams group-by-group rather than accumulating all groups in memory.
     """
     jira_base_url = cc_pair.connector.connector_specific_config.get("jira_base_url", "")
     scoped_token = cc_pair.connector.connector_specific_config.get(
@@ -130,12 +127,26 @@ def jira_group_sync(
         scoped_token=scoped_token,
     )
 
-    group_member_email_map = _build_group_member_email_map(jira_client=jira_client)
-    if not group_member_email_map:
-        raise ValueError(f"No groups with members found for cc_pair_id={cc_pair.id}")
+    group_names = jira_client.groups()
+    if not group_names:
+        raise ValueError(f"No groups found for cc_pair_id={cc_pair.id}")
 
-    for group_id, group_member_emails in group_member_email_map.items():
-        yield ExternalUserGroup(
-            id=group_id,
-            user_emails=list(group_member_emails),
+    logger.info(f"Found {len(group_names)} groups in Jira")
+
+    for group_name in group_names:
+        if not group_name:
+            continue
+
+        member_emails = _get_group_member_emails(
+            jira_client=jira_client,
+            group_name=group_name,
+        )
+        if not member_emails:
+            logger.debug(f"No members found for group {group_name}")
+            continue
+
+        logger.debug(f"Found {len(member_emails)} members for group {group_name}")
+        yield ExternalUserGroup(
+            id=group_name,
+            user_emails=list(member_emails),
         )

backend/onyx/background/celery/tasks/opensearch_migration/constants.py

@@ -11,6 +11,9 @@
 # lock after its cleanup which happens at most after its soft timeout.
 
 # Constants corresponding to migrate_documents_from_vespa_to_opensearch_task.
+from onyx.configs.app_configs import OPENSEARCH_MIGRATION_GET_VESPA_CHUNKS_PAGE_SIZE
+
+
 MIGRATION_TASK_SOFT_TIME_LIMIT_S = 60 * 5  # 5 minutes.
 MIGRATION_TASK_TIME_LIMIT_S = 60 * 6  # 6 minutes.
 # The maximum time the lock can be held for. Will automatically be released
@@ -44,7 +47,7 @@ TOTAL_ALLOWABLE_DOC_MIGRATION_ATTEMPTS_BEFORE_PERMANENT_FAILURE = 15
 
 # WARNING: Do not change these values without knowing what changes also need to
 # be made to OpenSearchTenantMigrationRecord.
-GET_VESPA_CHUNKS_PAGE_SIZE = 500
+GET_VESPA_CHUNKS_PAGE_SIZE = OPENSEARCH_MIGRATION_GET_VESPA_CHUNKS_PAGE_SIZE
 GET_VESPA_CHUNKS_SLICE_COUNT = 4
 
 # String used to indicate in the vespa_visit_continuation_token mapping that the

backend/onyx/configs/app_configs.py

@@ -311,6 +311,12 @@ VERIFY_CREATE_OPENSEARCH_INDEX_ON_INIT_MT = (
     os.environ.get("VERIFY_CREATE_OPENSEARCH_INDEX_ON_INIT_MT", "true").lower()
     == "true"
 )
+OPENSEARCH_MIGRATION_GET_VESPA_CHUNKS_PAGE_SIZE = int(
+    os.environ.get("OPENSEARCH_MIGRATION_GET_VESPA_CHUNKS_PAGE_SIZE") or 500
+)
+OPENSEARCH_OVERRIDE_DEFAULT_NUM_HYBRID_SEARCH_CANDIDATES = int(
+    os.environ.get("OPENSEARCH_DEFAULT_NUM_HYBRID_SEARCH_CANDIDATES") or 0
+)
 
 VESPA_HOST = os.environ.get("VESPA_HOST") or "localhost"
 # NOTE: this is used if and only if the vespa config server is accessible via a

backend/onyx/connectors/sharepoint/connector.py

@@ -258,6 +258,10 @@ class SharepointConnectorCheckpoint(ConnectorCheckpoint):
     # Track yielded hierarchy nodes by their raw_node_id (URLs) to avoid duplicates
     seen_hierarchy_node_raw_ids: set[str] = Field(default_factory=set)
 
+    # Track yielded document IDs to avoid processing the same document twice.
+    # The Microsoft Graph delta API can return the same item on multiple pages.
+    seen_document_ids: set[str] = Field(default_factory=set)
+
 
 class SharepointAuthMethod(Enum):
     CLIENT_SECRET = "client_secret"
@@ -1557,6 +1561,7 @@ class SharepointConnector(
         checkpoint.current_drive_id = None
         checkpoint.current_drive_web_url = None
         checkpoint.current_drive_delta_next_link = None
+        checkpoint.seen_document_ids.clear()
 
     def _fetch_slim_documents_from_sharepoint(self) -> GenerateSlimDocumentOutput:
         site_descriptors = self.site_descriptors or self.fetch_sites()
@@ -2137,6 +2142,14 @@ class SharepointConnector(
             item_count = 0
             for driveitem in driveitems:
                 item_count += 1
+
+                if driveitem.id and driveitem.id in checkpoint.seen_document_ids:
+                    logger.debug(
+                        f"Skipping duplicate document {driveitem.id} "
+                        f"({driveitem.name})"
+                    )
+                    continue
+
                 driveitem_extension = get_file_ext(driveitem.name)
                 if driveitem_extension not in OnyxFileExtensions.ALL_ALLOWED_EXTENSIONS:
                     logger.warning(
@@ -2189,11 +2202,13 @@ class SharepointConnector(
 
                     if isinstance(doc_or_failure, Document):
                         if doc_or_failure.sections:
+                            checkpoint.seen_document_ids.add(doc_or_failure.id)
                             yield doc_or_failure
                         elif should_yield_if_empty:
                             doc_or_failure.sections = [
                                 TextSection(link=driveitem.web_url, text="")
                             ]
+                            checkpoint.seen_document_ids.add(doc_or_failure.id)
                             yield doc_or_failure
                         else:
                             logger.warning(

backend/onyx/db/llm.py

@@ -25,6 +25,7 @@ from onyx.server.manage.embedding.models import CloudEmbeddingProvider
 from onyx.server.manage.embedding.models import CloudEmbeddingProviderCreationRequest
 from onyx.server.manage.llm.models import LLMProviderUpsertRequest
 from onyx.server.manage.llm.models import LLMProviderView
+from onyx.server.manage.llm.models import SyncModelEntry
 from onyx.utils.logger import setup_logger
 from shared_configs.enums import EmbeddingProvider
 
@@ -369,9 +370,9 @@ def upsert_llm_provider(
 def sync_model_configurations(
     db_session: Session,
     provider_name: str,
-    models: list[dict],
+    models: list[SyncModelEntry],
 ) -> int:
-    """Sync model configurations for a dynamic provider (OpenRouter, Bedrock, Ollama).
+    """Sync model configurations for a dynamic provider (OpenRouter, Bedrock, Ollama, etc.).
 
     This inserts NEW models from the source API without overwriting existing ones.
     User preferences (is_visible, max_input_tokens) are preserved for existing models.
@@ -379,7 +380,7 @@ def sync_model_configurations(
     Args:
         db_session: Database session
         provider_name: Name of the LLM provider
-        models: List of model dicts with keys: name, display_name, max_input_tokens, supports_image_input
+        models: List of SyncModelEntry objects describing the fetched models
 
     Returns:
         Number of new models added
@@ -393,21 +394,20 @@ def sync_model_configurations(
 
     new_count = 0
     for model in models:
-        model_name = model["name"]
-        if model_name not in existing_names:
+        if model.name not in existing_names:
             # Insert new model with is_visible=False (user must explicitly enable)
             supported_flows = [LLMModelFlowType.CHAT]
-            if model.get("supports_image_input", False):
+            if model.supports_image_input:
                 supported_flows.append(LLMModelFlowType.VISION)
 
             insert_new_model_configuration__no_commit(
                 db_session=db_session,
                 llm_provider_id=provider.id,
-                model_name=model_name,
+                model_name=model.name,
                 supported_flows=supported_flows,
                 is_visible=False,
-                max_input_tokens=model.get("max_input_tokens"),
-                display_name=model.get("display_name"),
+                max_input_tokens=model.max_input_tokens,
+                display_name=model.display_name,
             )
             new_count += 1
 

backend/onyx/db/models.py

@@ -163,6 +163,8 @@ class _EncryptedBase(TypeDecorator):
 
 
 class EncryptedString(_EncryptedBase):
+    # Must redeclare cache_ok in this child class since we explicitly redeclare _is_json
+    cache_ok = True
     _is_json: bool = False
 
     def process_bind_param(
@@ -189,6 +191,7 @@ class EncryptedString(_EncryptedBase):
 
 
 class EncryptedJson(_EncryptedBase):
+    cache_ok = True
     _is_json: bool = True
 
     def process_bind_param(
@@ -336,6 +339,16 @@ class User(SQLAlchemyBaseUserTableUUID, Base):
         TIMESTAMPAware(timezone=True), nullable=True
     )
 
+    created_at: Mapped[datetime.datetime] = mapped_column(
+        DateTime(timezone=True), server_default=func.now(), nullable=False
+    )
+    updated_at: Mapped[datetime.datetime] = mapped_column(
+        DateTime(timezone=True),
+        server_default=func.now(),
+        onupdate=func.now(),
+        nullable=False,
+    )
+
     default_model: Mapped[str] = mapped_column(Text, nullable=True)
     # organized in typical structured fashion
     # formatted as `displayName__provider__modelName`

backend/onyx/db/users.py

@@ -24,6 +24,7 @@ from onyx.db.models import Persona__User
 from onyx.db.models import SamlAccount
 from onyx.db.models import User
 from onyx.db.models import User__UserGroup
+from onyx.db.models import UserGroup
 from onyx.utils.variable_functionality import fetch_ee_implementation_or_noop
 
 
@@ -173,6 +174,21 @@ def _get_accepted_user_where_clause(
     return where_clause
 
 
+def get_all_accepted_users(
+    db_session: Session,
+    include_external: bool = False,
+) -> Sequence[User]:
+    """Returns all accepted users without pagination.
+    Uses the same filtering as the paginated endpoint but without
+    search, role, or active filters."""
+    stmt = select(User)
+    where_clause = _get_accepted_user_where_clause(
+        include_external=include_external,
+    )
+    stmt = stmt.where(*where_clause)
+    return db_session.scalars(stmt).unique().all()
+
+
 def get_page_of_filtered_users(
     db_session: Session,
     page_size: int,
@@ -358,3 +374,28 @@ def delete_user_from_db(
     # NOTE: edge case may exist with race conditions
     # with this `invited user` scheme generally.
     remove_user_from_invited_users(user_to_delete.email)
+
+
+def batch_get_user_groups(
+    db_session: Session,
+    user_ids: list[UUID],
+) -> dict[UUID, list[tuple[int, str]]]:
+    """Fetch group memberships for a batch of users in a single query.
+    Returns a mapping of user_id -> list of (group_id, group_name) tuples."""
+    if not user_ids:
+        return {}
+
+    rows = db_session.execute(
+        select(
+            User__UserGroup.user_id,
+            UserGroup.id,
+            UserGroup.name,
+        )
+        .join(UserGroup, UserGroup.id == User__UserGroup.user_group_id)
+        .where(User__UserGroup.user_id.in_(user_ids))
+    ).all()
+
+    result: dict[UUID, list[tuple[int, str]]] = {uid: [] for uid in user_ids}
+    for user_id, group_id, group_name in rows:
+        result[user_id].append((group_id, group_name))
+    return result

backend/onyx/document_index/opensearch/constants.py

@@ -1,5 +1,10 @@
 # Default value for the maximum number of tokens a chunk can hold, if none is
 # specified when creating an index.
+from onyx.configs.app_configs import (
+    OPENSEARCH_OVERRIDE_DEFAULT_NUM_HYBRID_SEARCH_CANDIDATES,
+)
+
+
 DEFAULT_MAX_CHUNK_SIZE = 512
 
 # Size of the dynamic list used to consider elements during kNN graph creation.
@@ -10,27 +15,43 @@ EF_CONSTRUCTION = 256
 # quality but increase memory footprint. Values typically range between 12 - 48.
 M = 32  # Set relatively high for better accuracy.
 
-# When performing hybrid search, we need to consider more candidates than the number of results to be returned.
-# This is because the scoring is hybrid and the results are reordered due to the hybrid scoring.
-# Higher = more candidates for hybrid fusion = better retrieval accuracy, but results in more computation per query.
-# Imagine a simple case with a single keyword query and a single vector query and we want 10 final docs.
-# If we only fetch 10 candidates from each of keyword and vector, they would have to have perfect overlap to get a good hybrid
-# ranking for the 10 results. If we fetch 1000 candidates from each, we have a much higher chance of all 10 of the final desired
-# docs showing up and getting scored. In worse situations, the final 10 docs don't even show up as the final 10 (worse than just
-# a miss at the reranking step).
-DEFAULT_NUM_HYBRID_SEARCH_CANDIDATES = 750
+# When performing hybrid search, we need to consider more candidates than the
+# number of results to be returned. This is because the scoring is hybrid and
+# the results are reordered due to the hybrid scoring. Higher = more candidates
+# for hybrid fusion = better retrieval accuracy, but results in more computation
+# per query. Imagine a simple case with a single keyword query and a single
+# vector query and we want 10 final docs. If we only fetch 10 candidates from
+# each of keyword and vector, they would have to have perfect overlap to get a
+# good hybrid ranking for the 10 results. If we fetch 1000 candidates from each,
+# we have a much higher chance of all 10 of the final desired docs showing up
+# and getting scored. In worse situations, the final 10 docs don't even show up
+# as the final 10 (worse than just a miss at the reranking step).
+DEFAULT_NUM_HYBRID_SEARCH_CANDIDATES = (
+    OPENSEARCH_OVERRIDE_DEFAULT_NUM_HYBRID_SEARCH_CANDIDATES
+    if OPENSEARCH_OVERRIDE_DEFAULT_NUM_HYBRID_SEARCH_CANDIDATES > 0
+    else 750
+)
 
-# Number of vectors to examine for top k neighbors for the HNSW method.
+# Number of vectors to examine to decide the top k neighbors for the HNSW
+# method.
+# NOTE: "When creating a search query, you must specify k. If you provide both k
+# and ef_search, then the larger value is passed to the engine. If ef_search is
+# larger than k, you can provide the size parameter to limit the final number of
+# results to k." from
+# https://docs.opensearch.org/latest/query-dsl/specialized/k-nn/index/#ef_search
 EF_SEARCH = DEFAULT_NUM_HYBRID_SEARCH_CANDIDATES
 
-# Since the titles are included in the contents, they are heavily downweighted as they act as a boost
-# rather than an independent scoring component.
+# Since the titles are included in the contents, the embedding matches are
+# heavily downweighted as they act as a boost rather than an independent scoring
+# component.
 SEARCH_TITLE_VECTOR_WEIGHT = 0.1
 SEARCH_CONTENT_VECTOR_WEIGHT = 0.45
-# Single keyword weight for both title and content (merged from former title keyword + content keyword).
+# Single keyword weight for both title and content (merged from former title
+# keyword + content keyword).
 SEARCH_KEYWORD_WEIGHT = 0.45
 
-# NOTE: it is critical that the order of these weights matches the order of the sub-queries in the hybrid search.
+# NOTE: It is critical that the order of these weights matches the order of the
+# sub-queries in the hybrid search.
 HYBRID_SEARCH_NORMALIZATION_WEIGHTS = [
     SEARCH_TITLE_VECTOR_WEIGHT,
     SEARCH_CONTENT_VECTOR_WEIGHT,

backend/onyx/document_index/opensearch/opensearch_document_index.py

@@ -433,12 +433,16 @@ class OpenSearchOldDocumentIndex(OldDocumentIndex):
             hidden=fields.hidden if fields else None,
             project_ids=(
                 set(user_fields.user_projects)
-                if user_fields and user_fields.user_projects
+                # NOTE: Empty user_projects is semantically different from None
+                # user_projects.
+                if user_fields and user_fields.user_projects is not None
                 else None
             ),
             persona_ids=(
                 set(user_fields.personas)
-                if user_fields and user_fields.personas
+                # NOTE: Empty personas is semantically different from None
+                # personas.
+                if user_fields and user_fields.personas is not None
                 else None
             ),
         )

backend/onyx/document_index/opensearch/search.py

@@ -255,8 +255,12 @@ class DocumentQuery:
                 f"result window ({DEFAULT_OPENSEARCH_MAX_RESULT_WINDOW})."
             )
 
+        # TODO(andrei, yuhong): We can tune this more dynamically based on
+        # num_hits.
+        max_results_per_subquery = DEFAULT_NUM_HYBRID_SEARCH_CANDIDATES
+
         hybrid_search_subqueries = DocumentQuery._get_hybrid_search_subqueries(
-            query_text, query_vector
+            query_text, query_vector, vector_candidates=max_results_per_subquery
         )
         hybrid_search_filters = DocumentQuery._get_search_filters(
             tenant_state=tenant_state,
@@ -285,13 +289,16 @@ class DocumentQuery:
         hybrid_search_query: dict[str, Any] = {
             "hybrid": {
                 "queries": hybrid_search_subqueries,
-                # Max results per subquery per shard before aggregation. Ensures keyword and vector
-                # subqueries contribute equally to the candidate pool for hybrid fusion.
+                # Max results per subquery per shard before aggregation. Ensures
+                # keyword and vector subqueries contribute equally to the
+                # candidate pool for hybrid fusion.
                 # Sources:
                 # https://docs.opensearch.org/latest/vector-search/ai-search/hybrid-search/pagination/
                 # https://opensearch.org/blog/navigating-pagination-in-hybrid-queries-with-the-pagination_depth-parameter/
-                "pagination_depth": DEFAULT_NUM_HYBRID_SEARCH_CANDIDATES,
-                # Applied to all the sub-queries independently (this avoids having subqueries having a lot of results thrown out).
+                "pagination_depth": max_results_per_subquery,
+                # Applied to all the sub-queries independently (this avoids
+                # subqueries having a lot of results thrown out during
+                # aggregation).
                 # Sources:
                 # https://docs.opensearch.org/latest/query-dsl/compound/hybrid/
                 # https://opensearch.org/blog/introducing-common-filter-support-for-hybrid-search-queries
@@ -374,9 +381,10 @@ class DocumentQuery:
     def _get_hybrid_search_subqueries(
         query_text: str,
         query_vector: list[float],
-        # The default number of neighbors to consider for knn vector similarity search.
-        # This is higher than the number of results because the scoring is hybrid.
-        # for a detailed breakdown, see where the default value is set.
+        # The default number of neighbors to consider for knn vector similarity
+        # search. This is higher than the number of results because the scoring
+        # is hybrid. For a detailed breakdown, see where the default value is
+        # set.
         vector_candidates: int = DEFAULT_NUM_HYBRID_SEARCH_CANDIDATES,
     ) -> list[dict[str, Any]]:
         """Returns subqueries for hybrid search.
@@ -400,20 +408,27 @@ class DocumentQuery:
         in a single hybrid query. Source:
         https://docs.opensearch.org/latest/query-dsl/compound/hybrid/
 
-        NOTE: Each query is independent during the search phase, there is no backfilling of scores for missing query components.
-        What this means is that if a document was a good vector match but did not show up for keyword, it gets a score of 0 for
-        the keyword component of the hybrid scoring. This is not as bad as just disregarding a score though as there is
-        normalization applied after. So really it is "increasing" the missing score compared to if it was included and the range
-        was renormalized. This does however mean that between docs that have high scores for say the vector field, the keyword
-        scores between them are completely ignored unless they also showed up in the keyword query as a reasonably high match.
-        TLDR, this is a bit of unique funky behavior but it seems ok.
+        NOTE: Each query is independent during the search phase, there is no
+        backfilling of scores for missing query components. What this means is
+        that if a document was a good vector match but did not show up for
+        keyword, it gets a score of 0 for the keyword component of the hybrid
+        scoring. This is not as bad as just disregarding a score though as there
+        is normalization applied after. So really it is "increasing" the missing
+        score compared to if it was included and the range was renormalized.
+        This does however mean that between docs that have high scores for say
+        the vector field, the keyword scores between them are completely ignored
+        unless they also showed up in the keyword query as a reasonably high
+        match. TLDR, this is a bit of unique funky behavior but it seems ok.
 
         NOTE: Options considered and rejected:
-        - minimum_should_match: Since it's hybrid search and users often provide semantic queries, there is often a lot of terms,
-          and very low number of meaningful keywords (and a low ratio of keywords).
-        - fuzziness AUTO: typo tolerance (0/1/2 edit distance by term length). It's mostly for typos as the analyzer ("english by
-          default") already does some stemming and tokenization. In testing datasets, this makes recall slightly worse. It also is
-          less performant so not really any reason to do it.
+        - minimum_should_match: Since it's hybrid search and users often provide
+          semantic queries, there is often a lot of terms, and very low number
+          of meaningful keywords (and a low ratio of keywords).
+        - fuzziness AUTO: Typo tolerance (0/1/2 edit distance by term length).
+          It's mostly for typos as the analyzer ("english" by default) already
+          does some stemming and tokenization. In testing datasets, this makes
+          recall slightly worse. It also is less performant so not really any
+          reason to do it.
 
         Args:
             query_text: The text of the query to search for.
@@ -723,14 +738,13 @@ class DocumentQuery:
             # document's metadata list.
             filter_clauses.append(_get_tag_filter(tags))
 
-        # Knowledge scope: explicit knowledge attachments restrict what
-        # an assistant can see.  When none are set the assistant
-        # searches everything.
+        # Knowledge scope: explicit knowledge attachments restrict what an
+        # assistant can see. When none are set the assistant searches
+        # everything.
         #
-        # project_id / persona_id are additive: they make overflowing
-        # user files findable but must NOT trigger the restriction on
-        # their own (an agent with no explicit knowledge should search
-        # everything).
+        # project_id / persona_id are additive: they make overflowing user files
+        # findable but must NOT trigger the restriction on their own (an agent
+        # with no explicit knowledge should search everything).
         has_knowledge_scope = (
             attached_document_ids
             or hierarchy_node_ids
@@ -758,9 +772,8 @@ class DocumentQuery:
                 knowledge_filter["bool"]["should"].append(
                     _get_document_set_filter(document_sets)
                 )
-            # Additive: widen scope to also cover overflowing user
-            # files, but only when an explicit restriction is already
-            # in effect.
+            # Additive: widen scope to also cover overflowing user files, but
+            # only when an explicit restriction is already in effect.
             if project_id is not None:
                 knowledge_filter["bool"]["should"].append(
                     _get_user_project_filter(project_id)

backend/onyx/document_index/vespa/index.py

@@ -690,9 +690,12 @@ class VespaIndex(DocumentIndex):
             )
 
         project_ids: set[int] | None = None
+        # NOTE: Empty user_projects is semantically different from None
+        # user_projects.
         if user_fields is not None and user_fields.user_projects is not None:
             project_ids = set(user_fields.user_projects)
         persona_ids: set[int] | None = None
+        # NOTE: Empty personas is semantically different from None personas.
         if user_fields is not None and user_fields.personas is not None:
             persona_ids = set(user_fields.personas)
         update_request = MetadataUpdateRequest(

backend/onyx/file_processing/extract_file_text.py

@@ -1,4 +1,3 @@
-import csv
 import gc
 import io
 import json
@@ -20,7 +19,6 @@ from zipfile import BadZipFile
 
 import chardet
 import openpyxl
-from openpyxl.worksheet.worksheet import Worksheet
 from PIL import Image
 
 from onyx.configs.constants import ONYX_METADATA_FILENAME
@@ -354,65 +352,6 @@ def pptx_to_text(file: IO[Any], file_name: str = "") -> str:
     return presentation.markdown
 
 
-def _worksheet_to_matrix(
-    worksheet: Worksheet,
-) -> list[list[str]]:
-    """
-    Converts a singular worksheet to a matrix of values
-    """
-    rows: list[list[str]] = []
-    for worksheet_row in worksheet.iter_rows(min_row=1, values_only=True):
-        row = ["" if cell is None else str(cell) for cell in worksheet_row]
-        rows.append(row)
-
-    return rows
-
-
-def _clean_worksheet_matrix(matrix: list[list[str]]) -> list[list[str]]:
-    """
-    Cleans a worksheet matrix by removing rows if there are N consecutive empty
-    rows and removing cols if there are M consecutive empty columns
-    """
-    MAX_EMPTY_ROWS = 2  # Runs longer than this are capped to max_empty; shorter runs are preserved as-is
-    MAX_EMPTY_COLS = 2
-
-    # Row cleanup
-    matrix = _remove_empty_runs(matrix, max_empty=MAX_EMPTY_ROWS)
-
-    # Column cleanup (transpose, clean, transpose back)
-    transposed = list(map(list, zip(*matrix))) if matrix else []
-    transposed = _remove_empty_runs(transposed, max_empty=MAX_EMPTY_COLS)
-    matrix = list(map(list, zip(*transposed))) if transposed else []
-
-    return matrix
-
-
-def _remove_empty_runs(
-    rows: list[list[str]],
-    max_empty: int,
-) -> list[list[str]]:
-    """Removes entire runs of empty rows when the run length exceeds max_empty.
-
-    Leading and trailing empty rows are always dropped regardless of run length,
-    since there is no adjacent non-empty row to bound the run.
-    """
-    result: list[list[str]] = []
-    empty_buffer: list[list[str]] = []
-
-    for row in rows:
-        # Check if empty
-        if not any(row):
-            empty_buffer.append(row)
-        else:
-            # Add upto max empty rows onto the result - that's what we allow
-            result.extend(empty_buffer[:max_empty])
-            # Add the new non-empty row
-            result.append(row)
-            empty_buffer = []
-
-    return result
-
-
 def xlsx_to_text(file: IO[Any], file_name: str = "") -> str:
     # TODO: switch back to this approach in a few months when markitdown
     # fixes their handling of excel files
@@ -451,15 +390,30 @@ def xlsx_to_text(file: IO[Any], file_name: str = "") -> str:
                 f"Failed to extract text from {file_name or 'xlsx file'}. This happens due to a bug in openpyxl. {e}"
             )
             return ""
-        raise
+        raise e
 
     text_content = []
     for sheet in workbook.worksheets:
-        sheet_matrix = _clean_worksheet_matrix(_worksheet_to_matrix(sheet))
-        buf = io.StringIO()
-        writer = csv.writer(buf, lineterminator="\n")
-        writer.writerows(sheet_matrix)
-        text_content.append(buf.getvalue().rstrip("\n"))
+        rows = []
+        num_empty_consecutive_rows = 0
+        for row in sheet.iter_rows(min_row=1, values_only=True):
+            row_str = ",".join(str(cell or "") for cell in row)
+
+            # Only add the row if there are any values in the cells
+            if len(row_str) >= len(row):
+                rows.append(row_str)
+                num_empty_consecutive_rows = 0
+            else:
+                num_empty_consecutive_rows += 1
+
+            if num_empty_consecutive_rows > 100:
+                # handle massive excel sheets with mostly empty cells
+                logger.warning(
+                    f"Found {num_empty_consecutive_rows} empty rows in {file_name}, skipping rest of file"
+                )
+                break
+        sheet_str = "\n".join(rows)
+        text_content.append(sheet_str)
     return TEXT_SECTION_SEPARATOR.join(text_content)
 
 

backend/onyx/llm/constants.py

@@ -43,6 +43,7 @@ WELL_KNOWN_PROVIDER_NAMES = [
     LlmProviderNames.AZURE,
     LlmProviderNames.OLLAMA_CHAT,
     LlmProviderNames.LM_STUDIO,
+    LlmProviderNames.LITELLM_PROXY,
 ]
 
 
@@ -59,6 +60,7 @@ PROVIDER_DISPLAY_NAMES: dict[str, str] = {
     "ollama": "Ollama",
     LlmProviderNames.OLLAMA_CHAT: "Ollama",
     LlmProviderNames.LM_STUDIO: "LM Studio",
+    LlmProviderNames.LITELLM_PROXY: "LiteLLM Proxy",
     "groq": "Groq",
     "anyscale": "Anyscale",
     "deepseek": "DeepSeek",
@@ -109,6 +111,7 @@ AGGREGATOR_PROVIDERS: set[str] = {
     LlmProviderNames.LM_STUDIO,
     LlmProviderNames.VERTEX_AI,
     LlmProviderNames.AZURE,
+    LlmProviderNames.LITELLM_PROXY,
 }
 
 # Model family name mappings for display name generation

backend/onyx/llm/well_known_providers/constants.py

@@ -11,6 +11,8 @@ OLLAMA_API_KEY_CONFIG_KEY = "OLLAMA_API_KEY"
 LM_STUDIO_PROVIDER_NAME = "lm_studio"
 LM_STUDIO_API_KEY_CONFIG_KEY = "LM_STUDIO_API_KEY"
 
+LITELLM_PROXY_PROVIDER_NAME = "litellm_proxy"
+
 # Providers that use optional Bearer auth from custom_config
 PROVIDERS_WITH_SPECIAL_API_KEY_HANDLING: dict[str, str] = {
     LlmProviderNames.OLLAMA_CHAT: OLLAMA_API_KEY_CONFIG_KEY,

backend/onyx/llm/well_known_providers/llm_provider_options.py

@@ -15,6 +15,7 @@ from onyx.llm.well_known_providers.auto_update_service import (
 from onyx.llm.well_known_providers.constants import ANTHROPIC_PROVIDER_NAME
 from onyx.llm.well_known_providers.constants import AZURE_PROVIDER_NAME
 from onyx.llm.well_known_providers.constants import BEDROCK_PROVIDER_NAME
+from onyx.llm.well_known_providers.constants import LITELLM_PROXY_PROVIDER_NAME
 from onyx.llm.well_known_providers.constants import LM_STUDIO_PROVIDER_NAME
 from onyx.llm.well_known_providers.constants import OLLAMA_PROVIDER_NAME
 from onyx.llm.well_known_providers.constants import OPENAI_PROVIDER_NAME
@@ -47,6 +48,7 @@ def _get_provider_to_models_map() -> dict[str, list[str]]:
         OLLAMA_PROVIDER_NAME: [],  # Dynamic - fetched from Ollama API
         LM_STUDIO_PROVIDER_NAME: [],  # Dynamic - fetched from LM Studio API
         OPENROUTER_PROVIDER_NAME: [],  # Dynamic - fetched from OpenRouter API
+        LITELLM_PROXY_PROVIDER_NAME: [],  # Dynamic - fetched from LiteLLM proxy API
     }
 
 
@@ -331,6 +333,7 @@ def get_provider_display_name(provider_name: str) -> str:
         BEDROCK_PROVIDER_NAME: "Amazon Bedrock",
         VERTEXAI_PROVIDER_NAME: "Google Vertex AI",
         OPENROUTER_PROVIDER_NAME: "OpenRouter",
+        LITELLM_PROXY_PROVIDER_NAME: "LiteLLM Proxy",
     }
 
     if provider_name in _ONYX_PROVIDER_DISPLAY_NAMES:

backend/onyx/server/features/build/sandbox/kubernetes/docker/templates/outputs/web/package-lock.json

@@ -7424,9 +7424,9 @@
       }
     },
     "node_modules/hono": {
-      "version": "4.12.5",
-      "resolved": "https://registry.npmjs.org/hono/-/hono-4.12.5.tgz",
-      "integrity": "sha512-3qq+FUBtlTHhtYxbxheZgY8NIFnkkC/MR8u5TTsr7YZ3wixryQ3cCwn3iZbg8p8B88iDBBAYSfZDS75t8MN7Vg==",
+      "version": "4.12.7",
+      "resolved": "https://registry.npmjs.org/hono/-/hono-4.12.7.tgz",
+      "integrity": "sha512-jq9l1DM0zVIvsm3lv9Nw9nlJnMNPOcAtsbsgiUhWcFzPE99Gvo6yRTlszSLLYacMeQ6quHD6hMfId8crVHvexw==",
       "license": "MIT",
       "engines": {
         "node": ">=16.9.0"

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

@@ -58,6 +58,9 @@ from onyx.llm.well_known_providers.llm_provider_options import (
 from onyx.server.manage.llm.models import BedrockFinalModelResponse
 from onyx.server.manage.llm.models import BedrockModelsRequest
 from onyx.server.manage.llm.models import DefaultModel
+from onyx.server.manage.llm.models import LitellmFinalModelResponse
+from onyx.server.manage.llm.models import LitellmModelDetails
+from onyx.server.manage.llm.models import LitellmModelsRequest
 from onyx.server.manage.llm.models import LLMCost
 from onyx.server.manage.llm.models import LLMProviderDescriptor
 from onyx.server.manage.llm.models import LLMProviderResponse
@@ -72,6 +75,7 @@ from onyx.server.manage.llm.models import OllamaModelsRequest
 from onyx.server.manage.llm.models import OpenRouterFinalModelResponse
 from onyx.server.manage.llm.models import OpenRouterModelDetails
 from onyx.server.manage.llm.models import OpenRouterModelsRequest
+from onyx.server.manage.llm.models import SyncModelEntry
 from onyx.server.manage.llm.models import TestLLMRequest
 from onyx.server.manage.llm.models import VisionProviderResponse
 from onyx.server.manage.llm.utils import generate_bedrock_display_name
@@ -98,6 +102,34 @@ def _mask_string(value: str) -> str:
     return value[:4] + "****" + value[-4:]
 
 
+def _sync_fetched_models(
+    db_session: Session,
+    provider_name: str,
+    models: list[SyncModelEntry],
+    source_label: str,
+) -> None:
+    """Sync fetched models to DB for the given provider.
+
+    Args:
+        db_session: Database session
+        provider_name: Name of the LLM provider
+        models: List of SyncModelEntry objects describing the fetched models
+        source_label: Human-readable label for log messages (e.g. "Bedrock", "LiteLLM")
+    """
+    try:
+        new_count = sync_model_configurations(
+            db_session=db_session,
+            provider_name=provider_name,
+            models=models,
+        )
+        if new_count > 0:
+            logger.info(
+                f"Added {new_count} new {source_label} models to provider '{provider_name}'"
+            )
+    except ValueError as e:
+        logger.warning(f"Failed to sync {source_label} models to DB: {e}")
+
+
 # Keys in custom_config that contain sensitive credentials
 _SENSITIVE_CONFIG_KEYS = {
     "vertex_credentials",
@@ -963,27 +995,20 @@ def get_bedrock_available_models(
 
         # Sync new models to DB if provider_name is specified
         if request.provider_name:
-            try:
-                models_to_sync = [
-                    {
-                        "name": r.name,
-                        "display_name": r.display_name,
-                        "max_input_tokens": r.max_input_tokens,
-                        "supports_image_input": r.supports_image_input,
-                    }
-                    for r in results
-                ]
-                new_count = sync_model_configurations(
-                    db_session=db_session,
-                    provider_name=request.provider_name,
-                    models=models_to_sync,
-                )
-                if new_count > 0:
-                    logger.info(
-                        f"Added {new_count} new Bedrock models to provider '{request.provider_name}'"
+            _sync_fetched_models(
+                db_session=db_session,
+                provider_name=request.provider_name,
+                models=[
+                    SyncModelEntry(
+                        name=r.name,
+                        display_name=r.display_name,
+                        max_input_tokens=r.max_input_tokens,
+                        supports_image_input=r.supports_image_input,
                     )
-            except ValueError as e:
-                logger.warning(f"Failed to sync Bedrock models to DB: {e}")
+                    for r in results
+                ],
+                source_label="Bedrock",
+            )
 
         return results
 
@@ -1101,27 +1126,20 @@ def get_ollama_available_models(
 
     # Sync new models to DB if provider_name is specified
     if request.provider_name:
-        try:
-            models_to_sync = [
-                {
-                    "name": r.name,
-                    "display_name": r.display_name,
-                    "max_input_tokens": r.max_input_tokens,
-                    "supports_image_input": r.supports_image_input,
-                }
-                for r in sorted_results
-            ]
-            new_count = sync_model_configurations(
-                db_session=db_session,
-                provider_name=request.provider_name,
-                models=models_to_sync,
-            )
-            if new_count > 0:
-                logger.info(
-                    f"Added {new_count} new Ollama models to provider '{request.provider_name}'"
+        _sync_fetched_models(
+            db_session=db_session,
+            provider_name=request.provider_name,
+            models=[
+                SyncModelEntry(
+                    name=r.name,
+                    display_name=r.display_name,
+                    max_input_tokens=r.max_input_tokens,
+                    supports_image_input=r.supports_image_input,
                 )
-        except ValueError as e:
-            logger.warning(f"Failed to sync Ollama models to DB: {e}")
+                for r in sorted_results
+            ],
+            source_label="Ollama",
+        )
 
     return sorted_results
 
@@ -1210,27 +1228,20 @@ def get_openrouter_available_models(
 
     # Sync new models to DB if provider_name is specified
     if request.provider_name:
-        try:
-            models_to_sync = [
-                {
-                    "name": r.name,
-                    "display_name": r.display_name,
-                    "max_input_tokens": r.max_input_tokens,
-                    "supports_image_input": r.supports_image_input,
-                }
-                for r in sorted_results
-            ]
-            new_count = sync_model_configurations(
-                db_session=db_session,
-                provider_name=request.provider_name,
-                models=models_to_sync,
-            )
-            if new_count > 0:
-                logger.info(
-                    f"Added {new_count} new OpenRouter models to provider '{request.provider_name}'"
+        _sync_fetched_models(
+            db_session=db_session,
+            provider_name=request.provider_name,
+            models=[
+                SyncModelEntry(
+                    name=r.name,
+                    display_name=r.display_name,
+                    max_input_tokens=r.max_input_tokens,
+                    supports_image_input=r.supports_image_input,
                 )
-        except ValueError as e:
-            logger.warning(f"Failed to sync OpenRouter models to DB: {e}")
+                for r in sorted_results
+            ],
+            source_label="OpenRouter",
+        )
 
     return sorted_results
 
@@ -1324,26 +1335,119 @@ def get_lm_studio_available_models(
 
     # Sync new models to DB if provider_name is specified
     if request.provider_name:
-        try:
-            models_to_sync = [
-                {
-                    "name": r.name,
-                    "display_name": r.display_name,
-                    "max_input_tokens": r.max_input_tokens,
-                    "supports_image_input": r.supports_image_input,
-                }
-                for r in sorted_results
-            ]
-            new_count = sync_model_configurations(
-                db_session=db_session,
-                provider_name=request.provider_name,
-                models=models_to_sync,
-            )
-            if new_count > 0:
-                logger.info(
-                    f"Added {new_count} new LM Studio models to provider '{request.provider_name}'"
+        _sync_fetched_models(
+            db_session=db_session,
+            provider_name=request.provider_name,
+            models=[
+                SyncModelEntry(
+                    name=r.name,
+                    display_name=r.display_name,
+                    max_input_tokens=r.max_input_tokens,
+                    supports_image_input=r.supports_image_input,
                 )
-        except ValueError as e:
-            logger.warning(f"Failed to sync LM Studio models to DB: {e}")
+                for r in sorted_results
+            ],
+            source_label="LM Studio",
+        )
 
     return sorted_results
+
+
+@admin_router.post("/litellm/available-models")
+def get_litellm_available_models(
+    request: LitellmModelsRequest,
+    _: User = Depends(current_admin_user),
+    db_session: Session = Depends(get_session),
+) -> list[LitellmFinalModelResponse]:
+    """Fetch available models from Litellm proxy /v1/models endpoint."""
+    response_json = _get_litellm_models_response(
+        api_key=request.api_key, api_base=request.api_base
+    )
+
+    models = response_json.get("data", [])
+    if not isinstance(models, list) or len(models) == 0:
+        raise OnyxError(
+            OnyxErrorCode.VALIDATION_ERROR,
+            "No models found from your Litellm endpoint",
+        )
+
+    results: list[LitellmFinalModelResponse] = []
+    for model in models:
+        try:
+            model_details = LitellmModelDetails.model_validate(model)
+
+            results.append(
+                LitellmFinalModelResponse(
+                    provider_name=model_details.owned_by,
+                    model_name=model_details.id,
+                )
+            )
+        except Exception as e:
+            logger.warning(
+                "Failed to parse Litellm model entry",
+                extra={"error": str(e), "item": str(model)[:1000]},
+            )
+
+    if not results:
+        raise OnyxError(
+            OnyxErrorCode.VALIDATION_ERROR,
+            "No compatible models found from Litellm",
+        )
+
+    sorted_results = sorted(results, key=lambda m: m.model_name.lower())
+
+    # Sync new models to DB if provider_name is specified
+    if request.provider_name:
+        _sync_fetched_models(
+            db_session=db_session,
+            provider_name=request.provider_name,
+            models=[
+                SyncModelEntry(
+                    name=r.model_name,
+                    display_name=r.model_name,
+                )
+                for r in sorted_results
+            ],
+            source_label="LiteLLM",
+        )
+
+    return sorted_results
+
+
+def _get_litellm_models_response(api_key: str, 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",
+    }
+
+    try:
+        response = httpx.get(url, headers=headers, timeout=10.0)
+        response.raise_for_status()
+        return response.json()
+    except httpx.HTTPStatusError as e:
+        if e.response.status_code == 401:
+            raise OnyxError(
+                OnyxErrorCode.VALIDATION_ERROR,
+                "Authentication failed: invalid or missing API key for LiteLLM proxy.",
+            )
+        elif e.response.status_code == 404:
+            raise OnyxError(
+                OnyxErrorCode.VALIDATION_ERROR,
+                f"LiteLLM models endpoint not found at {url}. "
+                "Please verify the API base URL.",
+            )
+        else:
+            raise OnyxError(
+                OnyxErrorCode.BAD_GATEWAY,
+                f"Failed to fetch LiteLLM models: {e}",
+            )
+    except Exception as e:
+        raise OnyxError(
+            OnyxErrorCode.BAD_GATEWAY,
+            f"Failed to fetch LiteLLM models: {e}",
+        )

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

@@ -420,3 +420,32 @@ class LLMProviderResponse(BaseModel, Generic[T]):
             default_text=default_text,
             default_vision=default_vision,
         )
+
+
+class SyncModelEntry(BaseModel):
+    """Typed model for syncing fetched models to the DB."""
+
+    name: str
+    display_name: str
+    max_input_tokens: int | None = None
+    supports_image_input: bool = False
+
+
+class LitellmModelsRequest(BaseModel):
+    api_key: str
+    api_base: str
+    provider_name: str | None = None  # Optional: to save models to existing provider
+
+
+class LitellmModelDetails(BaseModel):
+    """Response model for Litellm proxy /api/v1/models endpoint"""
+
+    id: str  # Model ID (e.g. "gpt-4o")
+    object: str  # "model"
+    created: int  # Unix timestamp in seconds
+    owned_by: str  # Provider name (e.g. "openai")
+
+
+class LitellmFinalModelResponse(BaseModel):
+    provider_name: str  # Provider name (e.g. "openai")
+    model_name: str  # Model ID (e.g. "gpt-4o")

backend/onyx/server/manage/users.py

@@ -67,7 +67,9 @@ from onyx.db.user_preferences import update_user_role
 from onyx.db.user_preferences import update_user_shortcut_enabled
 from onyx.db.user_preferences import update_user_temperature_override_enabled
 from onyx.db.user_preferences import update_user_theme_preference
+from onyx.db.users import batch_get_user_groups
 from onyx.db.users import delete_user_from_db
+from onyx.db.users import get_all_accepted_users
 from onyx.db.users import get_all_users
 from onyx.db.users import get_page_of_filtered_users
 from onyx.db.users import get_total_filtered_users_count
@@ -98,6 +100,7 @@ from onyx.server.manage.models import UserSpecificAssistantPreferences
 from onyx.server.models import FullUserSnapshot
 from onyx.server.models import InvitedUserSnapshot
 from onyx.server.models import MinimalUserSnapshot
+from onyx.server.models import UserGroupInfo
 from onyx.server.usage_limits import is_tenant_on_trial_fn
 from onyx.server.utils import BasicAuthenticationError
 from onyx.utils.logger import setup_logger
@@ -203,14 +206,51 @@ def list_accepted_users(
             total_items=0,
         )
 
+    user_ids = [user.id for user in filtered_accepted_users]
+    groups_by_user = batch_get_user_groups(db_session, user_ids)
+
     return PaginatedReturn(
         items=[
-            FullUserSnapshot.from_user_model(user) for user in filtered_accepted_users
+            FullUserSnapshot.from_user_model(
+                user,
+                groups=[
+                    UserGroupInfo(id=gid, name=gname)
+                    for gid, gname in groups_by_user.get(user.id, [])
+                ],
+            )
+            for user in filtered_accepted_users
         ],
         total_items=total_accepted_users_count,
     )
 
 
+@router.get("/manage/users/accepted/all", tags=PUBLIC_API_TAGS)
+def list_all_accepted_users(
+    _: User = Depends(current_admin_user),
+    db_session: Session = Depends(get_session),
+) -> list[FullUserSnapshot]:
+    """Returns all accepted users without pagination.
+    Used by the admin Users page for client-side filtering/sorting."""
+    users = get_all_accepted_users(db_session=db_session)
+
+    if not users:
+        return []
+
+    user_ids = [user.id for user in users]
+    groups_by_user = batch_get_user_groups(db_session, user_ids)
+
+    return [
+        FullUserSnapshot.from_user_model(
+            user,
+            groups=[
+                UserGroupInfo(id=gid, name=gname)
+                for gid, gname in groups_by_user.get(user.id, [])
+            ],
+        )
+        for user in users
+    ]
+
+
 @router.get("/manage/users/invited", tags=PUBLIC_API_TAGS)
 def list_invited_users(
     _: User = Depends(current_admin_user),
@@ -269,24 +309,10 @@ def list_all_users(
     if accepted_page is None or invited_page is None or slack_users_page is None:
         return AllUsersResponse(
             accepted=[
-                FullUserSnapshot(
-                    id=user.id,
-                    email=user.email,
-                    role=user.role,
-                    is_active=user.is_active,
-                    password_configured=user.password_configured,
-                )
-                for user in accepted_users
+                FullUserSnapshot.from_user_model(user) for user in accepted_users
             ],
             slack_users=[
-                FullUserSnapshot(
-                    id=user.id,
-                    email=user.email,
-                    role=user.role,
-                    is_active=user.is_active,
-                    password_configured=user.password_configured,
-                )
-                for user in slack_users
+                FullUserSnapshot.from_user_model(user) for user in slack_users
             ],
             invited=[InvitedUserSnapshot(email=email) for email in invited_emails],
             accepted_pages=1,
@@ -296,26 +322,10 @@ def list_all_users(
 
     # Otherwise, return paginated results
     return AllUsersResponse(
-        accepted=[
-            FullUserSnapshot(
-                id=user.id,
-                email=user.email,
-                role=user.role,
-                is_active=user.is_active,
-                password_configured=user.password_configured,
-            )
-            for user in accepted_users
-        ][accepted_page * USERS_PAGE_SIZE : (accepted_page + 1) * USERS_PAGE_SIZE],
-        slack_users=[
-            FullUserSnapshot(
-                id=user.id,
-                email=user.email,
-                role=user.role,
-                is_active=user.is_active,
-                password_configured=user.password_configured,
-            )
-            for user in slack_users
-        ][
+        accepted=[FullUserSnapshot.from_user_model(user) for user in accepted_users][
+            accepted_page * USERS_PAGE_SIZE : (accepted_page + 1) * USERS_PAGE_SIZE
+        ],
+        slack_users=[FullUserSnapshot.from_user_model(user) for user in slack_users][
             slack_users_page
             * USERS_PAGE_SIZE : (slack_users_page + 1)
             * USERS_PAGE_SIZE

backend/onyx/server/models.py

@@ -1,3 +1,4 @@
+import datetime
 from typing import Generic
 from typing import Optional
 from typing import TypeVar
@@ -31,21 +32,38 @@ class MinimalUserSnapshot(BaseModel):
     email: str
 
 
+class UserGroupInfo(BaseModel):
+    id: int
+    name: str
+
+
 class FullUserSnapshot(BaseModel):
     id: UUID
     email: str
     role: UserRole
     is_active: bool
     password_configured: bool
+    personal_name: str | None
+    created_at: datetime.datetime
+    updated_at: datetime.datetime
+    groups: list[UserGroupInfo]
 
     @classmethod
-    def from_user_model(cls, user: User) -> "FullUserSnapshot":
+    def from_user_model(
+        cls,
+        user: User,
+        groups: list[UserGroupInfo] | None = None,
+    ) -> "FullUserSnapshot":
         return cls(
             id=user.id,
             email=user.email,
             role=user.role,
             is_active=user.is_active,
             password_configured=user.password_configured,
+            personal_name=user.personal_name,
+            created_at=user.created_at,
+            updated_at=user.updated_at,
+            groups=groups or [],
         )
 
 

backend/requirements/dev.txt

@@ -406,7 +406,7 @@ referencing==0.36.2
     #   jsonschema-specifications
 regex==2025.11.3
     # via tiktoken
-release-tag==0.4.3
+release-tag==0.5.2
     # via onyx
 reorder-python-imports-black==3.14.0
     # via onyx

backend/tests/daily/conftest.py

@@ -19,7 +19,7 @@ from fastapi.testclient import TestClient
 from onyx.auth.users import current_admin_user
 from onyx.db.engine.sql_engine import get_session
 from onyx.db.models import UserRole
-from onyx.main import fetch_versioned_implementation
+from onyx.main import get_application
 from onyx.utils.logger import setup_logger
 
 logger = setup_logger()
@@ -51,11 +51,8 @@ def client() -> Generator[TestClient, None, None]:
     # Patch out prometheus metrics setup to avoid "Duplicated timeseries in
     # CollectorRegistry" errors when multiple tests each create a new app
     # (prometheus registers metrics globally and rejects duplicate names).
-    get_app = fetch_versioned_implementation(
-        module="onyx.main", attribute="get_application"
-    )
     with patch("onyx.main.setup_prometheus_metrics"):
-        app: FastAPI = get_app(lifespan_override=test_lifespan)
+        app: FastAPI = get_application(lifespan_override=test_lifespan)
 
     # Override the database session dependency with a mock
     # (these tests don't actually need DB access)

backend/tests/external_dependency_unit/document_index/test_document_index_old.py

@@ -0,0 +1,398 @@
+"""External dependency tests for the old DocumentIndex interface.
+
+These tests assume Vespa and OpenSearch are running.
+
+TODO(ENG-3764)(andrei): Consolidate some of these test fixtures.
+"""
+
+import os
+import time
+import uuid
+from collections.abc import Generator
+from unittest.mock import patch
+
+import httpx
+import pytest
+
+from onyx.access.models import DocumentAccess
+from onyx.configs.constants import DocumentSource
+from onyx.connectors.models import Document
+from onyx.context.search.models import IndexFilters
+from onyx.db.enums import EmbeddingPrecision
+from onyx.document_index.interfaces import DocumentIndex
+from onyx.document_index.interfaces import IndexBatchParams
+from onyx.document_index.interfaces import VespaChunkRequest
+from onyx.document_index.interfaces import VespaDocumentUserFields
+from onyx.document_index.opensearch.client import wait_for_opensearch_with_timeout
+from onyx.document_index.opensearch.opensearch_document_index import (
+    OpenSearchOldDocumentIndex,
+)
+from onyx.document_index.vespa.index import VespaIndex
+from onyx.document_index.vespa.shared_utils.utils import get_vespa_http_client
+from onyx.document_index.vespa.shared_utils.utils import wait_for_vespa_with_timeout
+from onyx.indexing.models import ChunkEmbedding
+from onyx.indexing.models import DocMetadataAwareIndexChunk
+from shared_configs.configs import MULTI_TENANT
+from shared_configs.contextvars import CURRENT_TENANT_ID_CONTEXTVAR
+from shared_configs.contextvars import get_current_tenant_id
+from tests.external_dependency_unit.constants import TEST_TENANT_ID
+
+
+@pytest.fixture(scope="module")
+def opensearch_available() -> Generator[None, None, None]:
+    """Verifies OpenSearch is running, fails the test if not."""
+    if not wait_for_opensearch_with_timeout():
+        pytest.fail("OpenSearch is not available.")
+    yield  # Test runs here.
+
+
+@pytest.fixture(scope="module")
+def test_index_name() -> Generator[str, None, None]:
+    yield f"test_index_{uuid.uuid4().hex[:8]}"  # Test runs here.
+
+
+@pytest.fixture(scope="module")
+def tenant_context() -> Generator[None, None, None]:
+    """Sets up tenant context for testing."""
+    token = CURRENT_TENANT_ID_CONTEXTVAR.set(TEST_TENANT_ID)
+    try:
+        yield  # Test runs here.
+    finally:
+        # Reset the tenant context after the test
+        CURRENT_TENANT_ID_CONTEXTVAR.reset(token)
+
+
+@pytest.fixture(scope="module")
+def httpx_client() -> Generator[httpx.Client, None, None]:
+    client = get_vespa_http_client()
+    try:
+        yield client
+    finally:
+        client.close()
+
+
+@pytest.fixture(scope="module")
+def vespa_document_index(
+    httpx_client: httpx.Client,
+    tenant_context: None,  # noqa: ARG001
+    test_index_name: str,
+) -> Generator[VespaIndex, None, None]:
+    vespa_index = VespaIndex(
+        index_name=test_index_name,
+        secondary_index_name=None,
+        large_chunks_enabled=False,
+        secondary_large_chunks_enabled=None,
+        multitenant=MULTI_TENANT,
+        httpx_client=httpx_client,
+    )
+    backend_dir = os.path.abspath(
+        os.path.join(os.path.dirname(__file__), "..", "..", "..")
+    )
+    with patch("os.getcwd", return_value=backend_dir):
+        vespa_index.ensure_indices_exist(
+            primary_embedding_dim=128,
+            primary_embedding_precision=EmbeddingPrecision.FLOAT,
+            secondary_index_embedding_dim=None,
+            secondary_index_embedding_precision=None,
+        )
+    # Verify Vespa is running, fails the test if not. Try 90 seconds for testing
+    # in CI. We have to do this here because this endpoint only becomes live
+    # once we create an index.
+    if not wait_for_vespa_with_timeout(wait_limit=90):
+        pytest.fail("Vespa is not available.")
+
+    # Wait until the schema is actually ready for writes on content nodes. We
+    # probe by attempting a PUT; 200 means the schema is live, 400 means not
+    # yet. This is so scuffed but running the test is really flakey otherwise;
+    # this is only temporary until we entirely move off of Vespa.
+    probe_doc = {
+        "fields": {
+            "document_id": "__probe__",
+            "chunk_id": 0,
+            "blurb": "",
+            "title": "",
+            "skip_title": True,
+            "content": "",
+            "content_summary": "",
+            "source_type": "file",
+            "source_links": "null",
+            "semantic_identifier": "",
+            "section_continuation": False,
+            "large_chunk_reference_ids": [],
+            "metadata": "{}",
+            "metadata_list": [],
+            "metadata_suffix": "",
+            "chunk_context": "",
+            "doc_summary": "",
+            "embeddings": {"full_chunk": [1.0] + [0.0] * 127},
+            "access_control_list": {},
+            "document_sets": {},
+            "image_file_name": None,
+            "user_project": [],
+            "personas": [],
+            "boost": 0.0,
+            "aggregated_chunk_boost_factor": 0.0,
+            "primary_owners": [],
+            "secondary_owners": [],
+        }
+    }
+    schema_ready = False
+    probe_url = (
+        f"http://localhost:8081/document/v1/default/{test_index_name}/docid/__probe__"
+    )
+    for _ in range(60):
+        resp = httpx_client.post(probe_url, json=probe_doc)
+        if resp.status_code == 200:
+            schema_ready = True
+            # Clean up the probe document.
+            httpx_client.delete(probe_url)
+            break
+        time.sleep(1)
+    if not schema_ready:
+        pytest.fail(f"Vespa schema '{test_index_name}' did not become ready in time.")
+
+    yield vespa_index  # Test runs here.
+
+    # TODO(ENG-3765)(andrei): Explicitly cleanup index. Not immediately
+    # pressing; in CI we should be using fresh instances of dependencies each
+    # time anyway.
+
+
+@pytest.fixture(scope="module")
+def opensearch_document_index(
+    opensearch_available: None,  # noqa: ARG001
+    tenant_context: None,  # noqa: ARG001
+    test_index_name: str,
+) -> Generator[OpenSearchOldDocumentIndex, None, None]:
+    opensearch_index = OpenSearchOldDocumentIndex(
+        index_name=test_index_name,
+        embedding_dim=128,
+        embedding_precision=EmbeddingPrecision.FLOAT,
+        secondary_index_name=None,
+        secondary_embedding_dim=None,
+        secondary_embedding_precision=None,
+        large_chunks_enabled=False,
+        secondary_large_chunks_enabled=None,
+        multitenant=MULTI_TENANT,
+    )
+    opensearch_index.ensure_indices_exist(
+        primary_embedding_dim=128,
+        primary_embedding_precision=EmbeddingPrecision.FLOAT,
+        secondary_index_embedding_dim=None,
+        secondary_index_embedding_precision=None,
+    )
+
+    yield opensearch_index  # Test runs here.
+
+    # TODO(ENG-3765)(andrei): Explicitly cleanup index. Not immediately
+    # pressing; in CI we should be using fresh instances of dependencies each
+    # time anyway.
+
+
+@pytest.fixture(scope="module")
+def document_indices(
+    vespa_document_index: VespaIndex,
+    opensearch_document_index: OpenSearchOldDocumentIndex,
+) -> Generator[list[DocumentIndex], None, None]:
+    # Ideally these are parametrized; doing so with pytest fixtures is tricky.
+    yield [opensearch_document_index, vespa_document_index]  # Test runs here.
+
+
+@pytest.fixture(scope="function")
+def chunks(
+    tenant_context: None,  # noqa: ARG001
+) -> Generator[list[DocMetadataAwareIndexChunk], None, None]:
+    result = []
+    chunk_count = 5
+    doc_id = "test_doc"
+    tenant_id = get_current_tenant_id()
+    access = DocumentAccess.build(
+        user_emails=[],
+        user_groups=[],
+        external_user_emails=[],
+        external_user_group_ids=[],
+        is_public=True,
+    )
+    document_sets: set[str] = set()
+    user_project: list[int] = list()
+    personas: list[int] = list()
+    boost = 0
+    blurb = "blurb"
+    content = "content"
+    title_prefix = ""
+    doc_summary = ""
+    chunk_context = ""
+    title_embedding = [1.0] + [0] * 127
+    # Full 0 vectors are not supported for cos similarity.
+    embeddings = ChunkEmbedding(
+        full_embedding=[1.0] + [0] * 127, mini_chunk_embeddings=[]
+    )
+    source_document = Document(
+        id=doc_id,
+        semantic_identifier="semantic identifier",
+        source=DocumentSource.FILE,
+        sections=[],
+        metadata={},
+        title="title",
+    )
+    metadata_suffix_keyword = ""
+    image_file_id = None
+    source_links: dict[int, str] = {0: ""}
+    ancestor_hierarchy_node_ids: list[int] = []
+    for i in range(chunk_count):
+        result.append(
+            DocMetadataAwareIndexChunk(
+                tenant_id=tenant_id,
+                access=access,
+                document_sets=document_sets,
+                user_project=user_project,
+                personas=personas,
+                boost=boost,
+                aggregated_chunk_boost_factor=0,
+                ancestor_hierarchy_node_ids=ancestor_hierarchy_node_ids,
+                embeddings=embeddings,
+                title_embedding=title_embedding,
+                source_document=source_document,
+                title_prefix=title_prefix,
+                metadata_suffix_keyword=metadata_suffix_keyword,
+                metadata_suffix_semantic="",
+                contextual_rag_reserved_tokens=0,
+                doc_summary=doc_summary,
+                chunk_context=chunk_context,
+                mini_chunk_texts=None,
+                large_chunk_id=None,
+                chunk_id=i,
+                blurb=blurb,
+                content=content,
+                source_links=source_links,
+                image_file_id=image_file_id,
+                section_continuation=False,
+            )
+        )
+    yield result  # Test runs here.
+
+
+@pytest.fixture(scope="function")
+def index_batch_params(
+    tenant_context: None,  # noqa: ARG001
+) -> Generator[IndexBatchParams, None, None]:
+    # WARNING: doc_id_to_previous_chunk_cnt={"test_doc": 0} is hardcoded to 0,
+    # which is only correct on the very first index call. The document_indices
+    # fixture is scope="module", meaning the same OpenSearch and Vespa backends
+    # persist across all test functions in this module. When a second test
+    # function uses this fixture and calls document_index.index(...), the
+    # backend already has 5 chunks for "test_doc" from the previous test run,
+    # but the batch params still claim 0 prior chunks exist. This can lead to
+    # orphaned/duplicate chunks that make subsequent assertions incorrect.
+    # TODO: Whenever adding a second test, either change this or cleanup the
+    # index between test cases.
+    yield IndexBatchParams(
+        doc_id_to_previous_chunk_cnt={"test_doc": 0},
+        doc_id_to_new_chunk_cnt={"test_doc": 5},
+        tenant_id=get_current_tenant_id(),
+        large_chunks_enabled=False,
+    )
+
+
+class TestDocumentIndexOld:
+    """Tests the old DocumentIndex interface."""
+
+    def test_update_single_can_clear_user_projects_and_personas(
+        self,
+        document_indices: list[DocumentIndex],
+        # This test case assumes all these chunks correspond to one document.
+        chunks: list[DocMetadataAwareIndexChunk],
+        index_batch_params: IndexBatchParams,
+    ) -> None:
+        """
+        Tests that update_single can clear user_projects and personas.
+        """
+        for document_index in document_indices:
+            # Precondition.
+            # Ensure there is some non-empty value for user project and
+            # personas.
+            for chunk in chunks:
+                chunk.user_project = [1]
+                chunk.personas = [2]
+            document_index.index(chunks, index_batch_params)
+
+            # Ensure that we can get chunks as expected with filters.
+            doc_id = chunks[0].source_document.id
+            chunk_count = len(chunks)
+            tenant_id = get_current_tenant_id()
+            # We need to specify the chunk index range and specify
+            # batch_retrieval=True below to trigger the codepath for Vespa's
+            # search API, which uses the expected additive filtering for
+            # project_id and persona_id. Otherwise we would use the codepath for
+            # the visit API, which does not have this kind of filtering
+            # implemented.
+            chunk_request = VespaChunkRequest(
+                document_id=doc_id, min_chunk_ind=0, max_chunk_ind=chunk_count - 1
+            )
+            project_persona_filters = IndexFilters(
+                access_control_list=None,
+                tenant_id=tenant_id,
+                project_id=1,
+                persona_id=2,
+                # We need this even though none of the chunks belong to a
+                # document set because project_id and persona_id are only
+                # additive filters in the event the agent has knowledge scope;
+                # if the agent does not, it is implied that it can see
+                # everything it is allowed to.
+                document_set=["1"],
+            )
+            # Not best practice here but the API for refreshing the index to
+            # ensure that the latest data is present is not exposed in this
+            # class and is not the same for Vespa and OpenSearch, so we just
+            # tolerate a sleep for now. As a consequence the number of tests in
+            # this suite should be small. We only need to tolerate this for as
+            # long as we continue to use Vespa, we can consider exposing
+            # something for OpenSearch later.
+            time.sleep(1)
+            inference_chunks = document_index.id_based_retrieval(
+                chunk_requests=[chunk_request],
+                filters=project_persona_filters,
+                batch_retrieval=True,
+            )
+            assert len(inference_chunks) == chunk_count
+            # Sort by chunk id to easily test if we have all chunks.
+            for i, inference_chunk in enumerate(
+                sorted(inference_chunks, key=lambda x: x.chunk_id)
+            ):
+                assert inference_chunk.chunk_id == i
+                assert inference_chunk.document_id == doc_id
+
+            # Under test.
+            # Explicitly set empty fields here.
+            user_fields = VespaDocumentUserFields(user_projects=[], personas=[])
+            document_index.update_single(
+                doc_id=doc_id,
+                chunk_count=chunk_count,
+                tenant_id=tenant_id,
+                fields=None,
+                user_fields=user_fields,
+            )
+
+            # Postcondition.
+            filters = IndexFilters(access_control_list=None, tenant_id=tenant_id)
+            # We should expect to get back all expected chunks with no filters.
+            # Again, not best practice here.
+            time.sleep(1)
+            inference_chunks = document_index.id_based_retrieval(
+                chunk_requests=[chunk_request], filters=filters, batch_retrieval=True
+            )
+            assert len(inference_chunks) == chunk_count
+            # Sort by chunk id to easily test if we have all chunks.
+            for i, inference_chunk in enumerate(
+                sorted(inference_chunks, key=lambda x: x.chunk_id)
+            ):
+                assert inference_chunk.chunk_id == i
+                assert inference_chunk.document_id == doc_id
+            # Now, we should expect to not get any chunks if we specify the user
+            # project and personas filters.
+            inference_chunks = document_index.id_based_retrieval(
+                chunk_requests=[chunk_request],
+                filters=project_persona_filters,
+                batch_retrieval=True,
+            )
+            assert len(inference_chunks) == 0

backend/tests/external_dependency_unit/opensearch_migration/test_opensearch_migration_tasks.py

@@ -17,6 +17,9 @@ from unittest.mock import patch
 import pytest
 from sqlalchemy.orm import Session
 
+from onyx.background.celery.tasks.opensearch_migration.constants import (
+    GET_VESPA_CHUNKS_SLICE_COUNT,
+)
 from onyx.background.celery.tasks.opensearch_migration.tasks import (
     is_continuation_token_done_for_all_slices,
 )
@@ -236,6 +239,8 @@ def full_deployment_setup() -> Generator[None, None, None]:
     NOTE: We deliberately duplicate this logic from
     backend/tests/external_dependency_unit/conftest.py because we need to set
     opensearch_available just for this module, not the entire test session.
+
+    TODO(ENG-3764)(andrei): Consolidate some of these test fixtures.
     """
     # Patch ENABLE_OPENSEARCH_INDEXING_FOR_ONYX just for this test because we
     # don't yet want that enabled for all tests.
@@ -320,9 +325,15 @@ def test_embedding_dimension(db_session: Session) -> Generator[int, None, None]:
 @pytest.fixture(scope="function")
 def patch_get_vespa_chunks_page_size() -> Generator[int, None, None]:
     test_page_size = 5
-    with patch(
-        "onyx.background.celery.tasks.opensearch_migration.tasks.GET_VESPA_CHUNKS_PAGE_SIZE",
-        test_page_size,
+    with (
+        patch(
+            "onyx.background.celery.tasks.opensearch_migration.tasks.GET_VESPA_CHUNKS_PAGE_SIZE",
+            test_page_size,
+        ),
+        patch(
+            "onyx.background.celery.tasks.opensearch_migration.constants.GET_VESPA_CHUNKS_PAGE_SIZE",
+            test_page_size,
+        ),
     ):
         yield test_page_size  # Test runs here.
 
@@ -582,6 +593,175 @@ class TestMigrateChunksFromVespaToOpenSearchTask:
                     document_chunks[document.id][opensearch_chunk.chunk_index],
                 )
 
+    def test_chunk_migration_visits_all_chunks_even_when_batch_size_varies(
+        self,
+        db_session: Session,
+        test_documents: list[Document],
+        vespa_document_index: VespaDocumentIndex,
+        opensearch_client: OpenSearchIndexClient,
+        test_embedding_dimension: int,
+        clean_migration_tables: None,  # noqa: ARG002
+        enable_opensearch_indexing_for_onyx: None,  # noqa: ARG002
+    ) -> None:
+        """
+        Tests that chunk migration works correctly even when the batch size
+        changes halfway through a migration.
+
+        Simulates task time running out my mocking the locking behavior.
+        """
+        # Precondition.
+        # Index chunks into Vespa.
+        document_chunks: dict[str, list[dict[str, Any]]] = {
+            document.id: [
+                _create_raw_document_chunk(
+                    document_id=document.id,
+                    chunk_index=i,
+                    content=f"Test content {i} for {document.id}",
+                    embedding=_generate_test_vector(test_embedding_dimension),
+                    now=datetime.now(),
+                    title=f"Test title {document.id}",
+                    title_embedding=_generate_test_vector(test_embedding_dimension),
+                )
+                for i in range(CHUNK_COUNT)
+            ]
+            for document in test_documents
+        }
+        all_chunks: list[dict[str, Any]] = []
+        for chunks in document_chunks.values():
+            all_chunks.extend(chunks)
+        vespa_document_index.index_raw_chunks(all_chunks)
+
+        # Run the initial batch. To simulate partial progress we will mock the
+        # redis lock to return True for the first invocation of .owned() and
+        # False subsequently.
+        # NOTE: The batch size is currently set to 5 in
+        # patch_get_vespa_chunks_page_size.
+        mock_redis_client = Mock()
+        mock_lock = Mock()
+        mock_lock.owned.side_effect = [True, False, False]
+        mock_lock.acquire.return_value = True
+        mock_redis_client.lock.return_value = mock_lock
+        with patch(
+            "onyx.background.celery.tasks.opensearch_migration.tasks.get_redis_client",
+            return_value=mock_redis_client,
+        ):
+            result_1 = migrate_chunks_from_vespa_to_opensearch_task(
+                tenant_id=get_current_tenant_id()
+            )
+
+        assert result_1 is True
+        # Expire the session cache to see the committed changes from the task.
+        db_session.expire_all()
+
+        # Verify partial progress was saved.
+        tenant_record = db_session.query(OpenSearchTenantMigrationRecord).first()
+        assert tenant_record is not None
+        partial_chunks_migrated = tenant_record.total_chunks_migrated
+        assert partial_chunks_migrated > 0
+        # page_size applies per slice, so one iteration can fetch up to
+        # page_size * GET_VESPA_CHUNKS_SLICE_COUNT chunks total.
+        assert partial_chunks_migrated <= 5 * GET_VESPA_CHUNKS_SLICE_COUNT
+        assert tenant_record.vespa_visit_continuation_token is not None
+        # Slices are not necessarily evenly distributed across all document
+        # chunks so we can't test that every token is non-None, but certainly at
+        # least one must be.
+        assert any(json.loads(tenant_record.vespa_visit_continuation_token).values())
+        assert tenant_record.migration_completed_at is None
+        assert tenant_record.approx_chunk_count_in_vespa is not None
+
+        # Under test.
+        # Now patch the batch size to be some other number, like 2.
+        mock_redis_client = Mock()
+        mock_lock = Mock()
+        mock_lock.owned.side_effect = [True, False, False]
+        mock_lock.acquire.return_value = True
+        mock_redis_client.lock.return_value = mock_lock
+        with (
+            patch(
+                "onyx.background.celery.tasks.opensearch_migration.tasks.GET_VESPA_CHUNKS_PAGE_SIZE",
+                2,
+            ),
+            patch(
+                "onyx.background.celery.tasks.opensearch_migration.constants.GET_VESPA_CHUNKS_PAGE_SIZE",
+                2,
+            ),
+            patch(
+                "onyx.background.celery.tasks.opensearch_migration.tasks.get_redis_client",
+                return_value=mock_redis_client,
+            ),
+        ):
+            result_2 = migrate_chunks_from_vespa_to_opensearch_task(
+                tenant_id=get_current_tenant_id()
+            )
+
+        # Postcondition.
+        assert result_2 is True
+        # Expire the session cache to see the committed changes from the task.
+        db_session.expire_all()
+
+        # Verify next partial progress was saved.
+        tenant_record = db_session.query(OpenSearchTenantMigrationRecord).first()
+        assert tenant_record is not None
+        new_partial_chunks_migrated = tenant_record.total_chunks_migrated
+        assert new_partial_chunks_migrated > partial_chunks_migrated
+        # page_size applies per slice, so one iteration can fetch up to
+        # page_size * GET_VESPA_CHUNKS_SLICE_COUNT chunks total.
+        assert new_partial_chunks_migrated <= (5 + 2) * GET_VESPA_CHUNKS_SLICE_COUNT
+        assert tenant_record.vespa_visit_continuation_token is not None
+        # Slices are not necessarily evenly distributed across all document
+        # chunks so we can't test that every token is non-None, but certainly at
+        # least one must be.
+        assert any(json.loads(tenant_record.vespa_visit_continuation_token).values())
+        assert tenant_record.migration_completed_at is None
+        assert tenant_record.approx_chunk_count_in_vespa is not None
+
+        # Under test.
+        # Run the remainder of the migration.
+        with (
+            patch(
+                "onyx.background.celery.tasks.opensearch_migration.tasks.GET_VESPA_CHUNKS_PAGE_SIZE",
+                2,
+            ),
+            patch(
+                "onyx.background.celery.tasks.opensearch_migration.constants.GET_VESPA_CHUNKS_PAGE_SIZE",
+                2,
+            ),
+        ):
+            result_3 = migrate_chunks_from_vespa_to_opensearch_task(
+                tenant_id=get_current_tenant_id()
+            )
+
+        # Postcondition.
+        assert result_3 is True
+        # Expire the session cache to see the committed changes from the task.
+        db_session.expire_all()
+
+        # Verify completion.
+        tenant_record = db_session.query(OpenSearchTenantMigrationRecord).first()
+        assert tenant_record is not None
+        assert tenant_record.total_chunks_migrated > new_partial_chunks_migrated
+        assert tenant_record.total_chunks_migrated == len(all_chunks)
+        # Visit is complete so continuation token should be None.
+        assert tenant_record.vespa_visit_continuation_token is not None
+        assert is_continuation_token_done_for_all_slices(
+            json.loads(tenant_record.vespa_visit_continuation_token)
+        )
+        assert tenant_record.migration_completed_at is not None
+        assert tenant_record.approx_chunk_count_in_vespa == len(all_chunks)
+
+        # Verify chunks were indexed in OpenSearch.
+        for document in test_documents:
+            opensearch_chunks = _get_document_chunks_from_opensearch(
+                opensearch_client, document.id, get_current_tenant_id()
+            )
+            assert len(opensearch_chunks) == CHUNK_COUNT
+            opensearch_chunks.sort(key=lambda x: x.chunk_index)
+            for opensearch_chunk in opensearch_chunks:
+                _assert_chunk_matches_vespa_chunk(
+                    opensearch_chunk,
+                    document_chunks[document.id][opensearch_chunk.chunk_index],
+                )
+
     def test_chunk_migration_empty_vespa(
         self,
         db_session: Session,

backend/tests/unit/onyx/connectors/sharepoint/test_delta_checkpointing.py

@@ -6,6 +6,7 @@ Validates that:
 - Crash + resume skips already-processed pages
 - BFS (folder-scoped) drives process all items in one call
 - 410 Gone triggers a full-resync URL in the checkpoint
+- Duplicate document IDs across delta pages are deduplicated
 """
 
 from __future__ import annotations
@@ -457,3 +458,228 @@ class TestDeltaPageFetchFailure:
         assert final_cp.current_drive_name is None
         assert final_cp.current_drive_id is None
         assert final_cp.current_drive_delta_next_link is None
+
+
+class TestDeltaDuplicateDocumentDedup:
+    """The Microsoft Graph delta API can return the same item on multiple
+    pages.  Documents already yielded should be skipped via
+    checkpoint.seen_document_ids."""
+
+    def test_duplicate_across_pages_is_skipped(
+        self, monkeypatch: pytest.MonkeyPatch
+    ) -> None:
+        """Item 'dup' appears on both page 1 and page 2.  It should only be
+        yielded once."""
+        connector = _setup_connector(monkeypatch)
+        _mock_convert(monkeypatch)
+
+        call_count = 0
+
+        def fake_fetch_page(
+            self: SharepointConnector,  # noqa: ARG001
+            page_url: str,  # noqa: ARG001
+            drive_id: str,  # noqa: ARG001
+            start: datetime | None = None,  # noqa: ARG001
+            end: datetime | None = None,  # noqa: ARG001
+            page_size: int = 200,  # noqa: ARG001
+        ) -> tuple[list[DriveItemData], str | None]:
+            nonlocal call_count
+            call_count += 1
+            if call_count == 1:
+                return [_make_item("a"), _make_item("dup")], "https://next2"
+            return [_make_item("dup"), _make_item("b")], None
+
+        monkeypatch.setattr(
+            SharepointConnector, "_fetch_one_delta_page", fake_fetch_page
+        )
+
+        checkpoint = _build_ready_checkpoint()
+
+        # Page 1: yields a, dup
+        gen = connector._load_from_checkpoint(
+            _START_TS, _END_TS, checkpoint, include_permissions=False
+        )
+        yielded, checkpoint = _consume_generator(gen)
+        docs = _docs_from(yielded)
+        assert [d.id for d in docs] == ["a", "dup"]
+        assert "dup" in checkpoint.seen_document_ids
+
+        # Page 2: dup should be skipped, only b yielded
+        gen = connector._load_from_checkpoint(
+            _START_TS, _END_TS, checkpoint, include_permissions=False
+        )
+        yielded, checkpoint = _consume_generator(gen)
+        docs = _docs_from(yielded)
+        assert [d.id for d in docs] == ["b"]
+
+    def test_duplicate_within_same_page_is_skipped(
+        self, monkeypatch: pytest.MonkeyPatch
+    ) -> None:
+        """If the same item appears twice on a single delta page, only the
+        first occurrence should be yielded."""
+        connector = _setup_connector(monkeypatch)
+        _mock_convert(monkeypatch)
+
+        def fake_fetch_page(
+            self: SharepointConnector,  # noqa: ARG001
+            page_url: str,  # noqa: ARG001
+            drive_id: str,  # noqa: ARG001
+            start: datetime | None = None,  # noqa: ARG001
+            end: datetime | None = None,  # noqa: ARG001
+            page_size: int = 200,  # noqa: ARG001
+        ) -> tuple[list[DriveItemData], str | None]:
+            return [_make_item("x"), _make_item("x"), _make_item("y")], None
+
+        monkeypatch.setattr(
+            SharepointConnector, "_fetch_one_delta_page", fake_fetch_page
+        )
+
+        checkpoint = _build_ready_checkpoint()
+        gen = connector._load_from_checkpoint(
+            _START_TS, _END_TS, checkpoint, include_permissions=False
+        )
+        yielded, checkpoint = _consume_generator(gen)
+        docs = _docs_from(yielded)
+        assert [d.id for d in docs] == ["x", "y"]
+
+    def test_seen_ids_survive_checkpoint_serialization(
+        self, monkeypatch: pytest.MonkeyPatch
+    ) -> None:
+        """seen_document_ids must survive JSON serialization so that
+        dedup works across crash + resume."""
+        connector = _setup_connector(monkeypatch)
+        _mock_convert(monkeypatch)
+
+        call_count = 0
+
+        def fake_fetch_page(
+            self: SharepointConnector,  # noqa: ARG001
+            page_url: str,  # noqa: ARG001
+            drive_id: str,  # noqa: ARG001
+            start: datetime | None = None,  # noqa: ARG001
+            end: datetime | None = None,  # noqa: ARG001
+            page_size: int = 200,  # noqa: ARG001
+        ) -> tuple[list[DriveItemData], str | None]:
+            nonlocal call_count
+            call_count += 1
+            if call_count == 1:
+                return [_make_item("a")], "https://next2"
+            return [_make_item("a"), _make_item("b")], None
+
+        monkeypatch.setattr(
+            SharepointConnector, "_fetch_one_delta_page", fake_fetch_page
+        )
+
+        checkpoint = _build_ready_checkpoint()
+
+        # Page 1
+        gen = connector._load_from_checkpoint(
+            _START_TS, _END_TS, checkpoint, include_permissions=False
+        )
+        _, checkpoint = _consume_generator(gen)
+        assert "a" in checkpoint.seen_document_ids
+
+        # Simulate crash: round-trip through JSON
+        restored = SharepointConnectorCheckpoint.model_validate_json(
+            checkpoint.model_dump_json()
+        )
+        assert "a" in restored.seen_document_ids
+
+        # Page 2 with restored checkpoint: 'a' should be skipped
+        connector2 = _setup_connector(monkeypatch)
+        _mock_convert(monkeypatch)
+        monkeypatch.setattr(
+            SharepointConnector, "_fetch_one_delta_page", fake_fetch_page
+        )
+
+        gen = connector2._load_from_checkpoint(
+            _START_TS, _END_TS, restored, include_permissions=False
+        )
+        yielded, final_cp = _consume_generator(gen)
+        docs = _docs_from(yielded)
+        assert [d.id for d in docs] == ["b"]
+
+    def test_no_dedup_across_separate_indexing_runs(
+        self, monkeypatch: pytest.MonkeyPatch
+    ) -> None:
+        """A fresh checkpoint (new indexing run) should have an empty
+        seen_document_ids, so previously-indexed docs are re-processed."""
+        connector = _setup_connector(monkeypatch)
+        _mock_convert(monkeypatch)
+
+        def fake_fetch_page(
+            self: SharepointConnector,  # noqa: ARG001
+            page_url: str,  # noqa: ARG001
+            drive_id: str,  # noqa: ARG001
+            start: datetime | None = None,  # noqa: ARG001
+            end: datetime | None = None,  # noqa: ARG001
+            page_size: int = 200,  # noqa: ARG001
+        ) -> tuple[list[DriveItemData], str | None]:
+            return [_make_item("a")], None
+
+        monkeypatch.setattr(
+            SharepointConnector, "_fetch_one_delta_page", fake_fetch_page
+        )
+
+        # First run
+        cp1 = _build_ready_checkpoint()
+        gen = connector._load_from_checkpoint(
+            _START_TS, _END_TS, cp1, include_permissions=False
+        )
+        yielded, _ = _consume_generator(gen)
+        assert len(_docs_from(yielded)) == 1
+
+        # Second run with a fresh checkpoint — same doc should appear again
+        cp2 = _build_ready_checkpoint()
+        assert len(cp2.seen_document_ids) == 0
+        gen = connector._load_from_checkpoint(
+            _START_TS, _END_TS, cp2, include_permissions=False
+        )
+        yielded, _ = _consume_generator(gen)
+        assert len(_docs_from(yielded)) == 1
+
+    def test_same_id_across_drives_not_skipped(
+        self, monkeypatch: pytest.MonkeyPatch
+    ) -> None:
+        """Graph item IDs are only unique within a drive.  An item in drive B
+        that happens to share an ID with an item already seen in drive A must
+        NOT be skipped."""
+        connector = _setup_connector(monkeypatch)
+        _mock_convert(monkeypatch)
+
+        def fake_fetch_page(
+            self: SharepointConnector,  # noqa: ARG001
+            page_url: str,  # noqa: ARG001
+            drive_id: str,  # noqa: ARG001
+            start: datetime | None = None,  # noqa: ARG001
+            end: datetime | None = None,  # noqa: ARG001
+            page_size: int = 200,  # noqa: ARG001
+        ) -> tuple[list[DriveItemData], str | None]:
+            return [_make_item("shared-id")], None
+
+        monkeypatch.setattr(
+            SharepointConnector, "_fetch_one_delta_page", fake_fetch_page
+        )
+
+        checkpoint = _build_ready_checkpoint(drive_names=["DriveA", "DriveB"])
+
+        # Drive A: yields the item
+        gen = connector._load_from_checkpoint(
+            _START_TS, _END_TS, checkpoint, include_permissions=False
+        )
+        yielded, checkpoint = _consume_generator(gen)
+        docs = _docs_from(yielded)
+        assert len(docs) == 1
+        assert docs[0].id == "shared-id"
+
+        # seen_document_ids should have been cleared when drive A finished
+        assert len(checkpoint.seen_document_ids) == 0
+
+        # Drive B: same ID must be yielded again (different drive)
+        gen = connector._load_from_checkpoint(
+            _START_TS, _END_TS, checkpoint, include_permissions=False
+        )
+        yielded, checkpoint = _consume_generator(gen)
+        docs = _docs_from(yielded)
+        assert len(docs) == 1
+        assert docs[0].id == "shared-id"

backend/tests/unit/onyx/db/test_llm_sync.py

@@ -7,6 +7,7 @@ import pytest
 
 from onyx.db.llm import sync_model_configurations
 from onyx.llm.constants import LlmProviderNames
+from onyx.server.manage.llm.models import SyncModelEntry
 
 
 class TestSyncModelConfigurations:
@@ -25,18 +26,18 @@ class TestSyncModelConfigurations:
             "onyx.db.llm.fetch_existing_llm_provider", return_value=mock_provider
         ):
             models = [
-                {
-                    "name": "gpt-4",
-                    "display_name": "GPT-4",
-                    "max_input_tokens": 128000,
-                    "supports_image_input": True,
-                },
-                {
-                    "name": "gpt-4o",
-                    "display_name": "GPT-4o",
-                    "max_input_tokens": 128000,
-                    "supports_image_input": True,
-                },
+                SyncModelEntry(
+                    name="gpt-4",
+                    display_name="GPT-4",
+                    max_input_tokens=128000,
+                    supports_image_input=True,
+                ),
+                SyncModelEntry(
+                    name="gpt-4o",
+                    display_name="GPT-4o",
+                    max_input_tokens=128000,
+                    supports_image_input=True,
+                ),
             ]
 
             result = sync_model_configurations(
@@ -67,18 +68,18 @@ class TestSyncModelConfigurations:
             "onyx.db.llm.fetch_existing_llm_provider", return_value=mock_provider
         ):
             models = [
-                {
-                    "name": "gpt-4",  # Existing - should be skipped
-                    "display_name": "GPT-4",
-                    "max_input_tokens": 128000,
-                    "supports_image_input": True,
-                },
-                {
-                    "name": "gpt-4o",  # New - should be inserted
-                    "display_name": "GPT-4o",
-                    "max_input_tokens": 128000,
-                    "supports_image_input": True,
-                },
+                SyncModelEntry(
+                    name="gpt-4",  # Existing - should be skipped
+                    display_name="GPT-4",
+                    max_input_tokens=128000,
+                    supports_image_input=True,
+                ),
+                SyncModelEntry(
+                    name="gpt-4o",  # New - should be inserted
+                    display_name="GPT-4o",
+                    max_input_tokens=128000,
+                    supports_image_input=True,
+                ),
             ]
 
             result = sync_model_configurations(
@@ -105,12 +106,12 @@ class TestSyncModelConfigurations:
             "onyx.db.llm.fetch_existing_llm_provider", return_value=mock_provider
         ):
             models = [
-                {
-                    "name": "gpt-4",  # Already exists
-                    "display_name": "GPT-4",
-                    "max_input_tokens": 128000,
-                    "supports_image_input": True,
-                },
+                SyncModelEntry(
+                    name="gpt-4",  # Already exists
+                    display_name="GPT-4",
+                    max_input_tokens=128000,
+                    supports_image_input=True,
+                ),
             ]
 
             result = sync_model_configurations(
@@ -131,7 +132,7 @@ class TestSyncModelConfigurations:
                 sync_model_configurations(
                     db_session=mock_session,
                     provider_name="nonexistent",
-                    models=[{"name": "model", "display_name": "Model"}],
+                    models=[SyncModelEntry(name="model", display_name="Model")],
                 )
 
     def test_handles_missing_optional_fields(self) -> None:
@@ -145,12 +146,12 @@ class TestSyncModelConfigurations:
         with patch(
             "onyx.db.llm.fetch_existing_llm_provider", return_value=mock_provider
         ):
-            # Model with only required fields
+            # Model with only required fields (max_input_tokens and supports_image_input default)
             models = [
-                {
-                    "name": "model-1",
-                    # No display_name, max_input_tokens, or supports_image_input
-                },
+                SyncModelEntry(
+                    name="model-1",
+                    display_name="Model 1",
+                ),
             ]
 
             result = sync_model_configurations(

backend/tests/unit/onyx/file_processing/test_xlsx_to_text.py

@@ -1,196 +0,0 @@
-import io
-
-import openpyxl
-
-from onyx.file_processing.extract_file_text import xlsx_to_text
-
-
-def _make_xlsx(sheets: dict[str, list[list[str]]]) -> io.BytesIO:
-    """Create an in-memory xlsx file from a dict of sheet_name -> matrix of strings."""
-    wb = openpyxl.Workbook()
-    if wb.active is not None:
-        wb.remove(wb.active)
-    for sheet_name, rows in sheets.items():
-        ws = wb.create_sheet(title=sheet_name)
-        for row in rows:
-            ws.append(row)
-    buf = io.BytesIO()
-    wb.save(buf)
-    buf.seek(0)
-    return buf
-
-
-class TestXlsxToText:
-    def test_single_sheet_basic(self) -> None:
-        xlsx = _make_xlsx(
-            {
-                "Sheet1": [
-                    ["Name", "Age"],
-                    ["Alice", "30"],
-                    ["Bob", "25"],
-                ]
-            }
-        )
-        result = xlsx_to_text(xlsx)
-        lines = [line for line in result.strip().split("\n") if line.strip()]
-        assert len(lines) == 3
-        assert "Name" in lines[0]
-        assert "Age" in lines[0]
-        assert "Alice" in lines[1]
-        assert "30" in lines[1]
-        assert "Bob" in lines[2]
-
-    def test_multiple_sheets_separated(self) -> None:
-        xlsx = _make_xlsx(
-            {
-                "Sheet1": [["a", "b"]],
-                "Sheet2": [["c", "d"]],
-            }
-        )
-        result = xlsx_to_text(xlsx)
-        # TEXT_SECTION_SEPARATOR is "\n\n"
-        assert "\n\n" in result
-        parts = result.split("\n\n")
-        assert any("a" in p for p in parts)
-        assert any("c" in p for p in parts)
-
-    def test_empty_cells(self) -> None:
-        xlsx = _make_xlsx(
-            {
-                "Sheet1": [
-                    ["a", "", "b"],
-                    ["", "c", ""],
-                ]
-            }
-        )
-        result = xlsx_to_text(xlsx)
-        lines = [line for line in result.strip().split("\n") if line.strip()]
-        assert len(lines) == 2
-
-    def test_commas_in_cells_are_quoted(self) -> None:
-        """Cells containing commas should be quoted in CSV output."""
-        xlsx = _make_xlsx(
-            {
-                "Sheet1": [
-                    ["hello, world", "normal"],
-                ]
-            }
-        )
-        result = xlsx_to_text(xlsx)
-        assert '"hello, world"' in result
-
-    def test_empty_workbook(self) -> None:
-        xlsx = _make_xlsx({"Sheet1": []})
-        result = xlsx_to_text(xlsx)
-        assert result.strip() == ""
-
-    def test_long_empty_row_run_capped(self) -> None:
-        """Runs of >2 empty rows should be capped to 2."""
-        xlsx = _make_xlsx(
-            {
-                "Sheet1": [
-                    ["header"],
-                    [""],
-                    [""],
-                    [""],
-                    [""],
-                    ["data"],
-                ]
-            }
-        )
-        result = xlsx_to_text(xlsx)
-        lines = [line for line in result.strip().split("\n") if line.strip()]
-        # 4 empty rows capped to 2, so: header + 2 empty + data = 4 lines
-        assert len(lines) == 4
-        assert "header" in lines[0]
-        assert "data" in lines[-1]
-
-    def test_long_empty_col_run_capped(self) -> None:
-        """Runs of >2 empty columns should be capped to 2."""
-        xlsx = _make_xlsx(
-            {
-                "Sheet1": [
-                    ["a", "", "", "", "b"],
-                    ["c", "", "", "", "d"],
-                ]
-            }
-        )
-        result = xlsx_to_text(xlsx)
-        lines = [line for line in result.strip().split("\n") if line.strip()]
-        assert len(lines) == 2
-        # Each row should have 4 fields (a + 2 empty + b), not 5
-        # csv format: a,,,b (3 commas = 4 fields)
-        first_line = lines[0].strip()
-        # Count commas to verify column reduction
-        assert first_line.count(",") == 3
-
-    def test_short_empty_runs_kept(self) -> None:
-        """Runs of <=2 empty rows/cols should be preserved."""
-        xlsx = _make_xlsx(
-            {
-                "Sheet1": [
-                    ["a", "b"],
-                    ["", ""],
-                    ["", ""],
-                    ["c", "d"],
-                ]
-            }
-        )
-        result = xlsx_to_text(xlsx)
-        lines = [line for line in result.strip().split("\n") if line.strip()]
-        # All 4 rows preserved (2 empty rows <= threshold)
-        assert len(lines) == 4
-
-    def test_bad_zip_file_returns_empty(self) -> None:
-        bad_file = io.BytesIO(b"not a zip file")
-        result = xlsx_to_text(bad_file, file_name="test.xlsx")
-        assert result == ""
-
-    def test_bad_zip_tilde_file_returns_empty(self) -> None:
-        bad_file = io.BytesIO(b"not a zip file")
-        result = xlsx_to_text(bad_file, file_name="~$temp.xlsx")
-        assert result == ""
-
-    def test_large_sparse_sheet(self) -> None:
-        """A sheet with data, a big empty gap, and more data — gap is capped to 2."""
-        rows: list[list[str]] = [["row1_data"]]
-        rows.extend([[""] for _ in range(10)])
-        rows.append(["row2_data"])
-        xlsx = _make_xlsx({"Sheet1": rows})
-        result = xlsx_to_text(xlsx)
-        lines = [line for line in result.strip().split("\n") if line.strip()]
-        # 10 empty rows capped to 2: row1_data + 2 empty + row2_data = 4
-        assert len(lines) == 4
-        assert "row1_data" in lines[0]
-        assert "row2_data" in lines[-1]
-
-    def test_quotes_in_cells(self) -> None:
-        """Cells containing quotes should be properly escaped."""
-        xlsx = _make_xlsx(
-            {
-                "Sheet1": [
-                    ['say "hello"', "normal"],
-                ]
-            }
-        )
-        result = xlsx_to_text(xlsx)
-        # csv.writer escapes quotes by doubling them
-        assert '""hello""' in result
-
-    def test_each_row_is_separate_line(self) -> None:
-        """Each row should produce its own line (regression for writerow vs writerows)."""
-        xlsx = _make_xlsx(
-            {
-                "Sheet1": [
-                    ["r1c1", "r1c2"],
-                    ["r2c1", "r2c2"],
-                    ["r3c1", "r3c2"],
-                ]
-            }
-        )
-        result = xlsx_to_text(xlsx)
-        lines = [line for line in result.strip().split("\n") if line.strip()]
-        assert len(lines) == 3
-        assert "r1c1" in lines[0] and "r1c2" in lines[0]
-        assert "r2c1" in lines[1] and "r2c2" in lines[1]
-        assert "r3c1" in lines[2] and "r3c2" in lines[2]

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

@@ -1,15 +1,19 @@
 """Tests for LLM model fetch endpoints.
 
 These tests verify the full request/response flow for fetching models
-from dynamic providers (Ollama, OpenRouter), including the
+from dynamic providers (Ollama, OpenRouter, Litellm), including the
 sync-to-DB behavior when provider_name is specified.
 """
 
 from unittest.mock import MagicMock
 from unittest.mock import patch
 
+import httpx
 import pytest
 
+from onyx.error_handling.exceptions import OnyxError
+from onyx.server.manage.llm.models import LitellmFinalModelResponse
+from onyx.server.manage.llm.models import LitellmModelsRequest
 from onyx.server.manage.llm.models import LMStudioFinalModelResponse
 from onyx.server.manage.llm.models import LMStudioModelsRequest
 from onyx.server.manage.llm.models import OllamaFinalModelResponse
@@ -614,3 +618,283 @@ class TestGetLMStudioAvailableModels:
             request = LMStudioModelsRequest(api_base="http://localhost:1234")
             with pytest.raises(OnyxError):
                 get_lm_studio_available_models(request, MagicMock(), mock_session)
+
+
+class TestGetLitellmAvailableModels:
+    """Tests for the Litellm proxy model fetch endpoint."""
+
+    @pytest.fixture
+    def mock_litellm_response(self) -> dict:
+        """Mock response from Litellm /v1/models endpoint."""
+        return {
+            "data": [
+                {
+                    "id": "gpt-4o",
+                    "object": "model",
+                    "created": 1700000000,
+                    "owned_by": "openai",
+                },
+                {
+                    "id": "claude-3-5-sonnet",
+                    "object": "model",
+                    "created": 1700000001,
+                    "owned_by": "anthropic",
+                },
+                {
+                    "id": "gemini-pro",
+                    "object": "model",
+                    "created": 1700000002,
+                    "owned_by": "google",
+                },
+            ]
+        }
+
+    def test_returns_model_list(self, mock_litellm_response: dict) -> None:
+        """Test that endpoint returns properly formatted model list."""
+        from onyx.server.manage.llm.api import get_litellm_available_models
+
+        mock_session = MagicMock()
+
+        with patch("onyx.server.manage.llm.api.httpx.get") as mock_get:
+            mock_response = MagicMock()
+            mock_response.json.return_value = mock_litellm_response
+            mock_response.raise_for_status = MagicMock()
+            mock_get.return_value = mock_response
+
+            request = LitellmModelsRequest(
+                api_base="http://localhost:4000",
+                api_key="test-key",
+            )
+            results = get_litellm_available_models(request, MagicMock(), mock_session)
+
+            assert len(results) == 3
+            assert all(isinstance(r, LitellmFinalModelResponse) for r in results)
+
+    def test_model_fields_parsed_correctly(self, mock_litellm_response: dict) -> None:
+        """Test that provider_name and model_name are correctly extracted."""
+        from onyx.server.manage.llm.api import get_litellm_available_models
+
+        mock_session = MagicMock()
+
+        with patch("onyx.server.manage.llm.api.httpx.get") as mock_get:
+            mock_response = MagicMock()
+            mock_response.json.return_value = mock_litellm_response
+            mock_response.raise_for_status = MagicMock()
+            mock_get.return_value = mock_response
+
+            request = LitellmModelsRequest(
+                api_base="http://localhost:4000",
+                api_key="test-key",
+            )
+            results = get_litellm_available_models(request, MagicMock(), mock_session)
+
+            gpt = next(r for r in results if r.model_name == "gpt-4o")
+            assert gpt.provider_name == "openai"
+
+            claude = next(r for r in results if r.model_name == "claude-3-5-sonnet")
+            assert claude.provider_name == "anthropic"
+
+    def test_results_sorted_by_model_name(self, mock_litellm_response: dict) -> None:
+        """Test that results are alphabetically sorted by model_name."""
+        from onyx.server.manage.llm.api import get_litellm_available_models
+
+        mock_session = MagicMock()
+
+        with patch("onyx.server.manage.llm.api.httpx.get") as mock_get:
+            mock_response = MagicMock()
+            mock_response.json.return_value = mock_litellm_response
+            mock_response.raise_for_status = MagicMock()
+            mock_get.return_value = mock_response
+
+            request = LitellmModelsRequest(
+                api_base="http://localhost:4000",
+                api_key="test-key",
+            )
+            results = get_litellm_available_models(request, MagicMock(), mock_session)
+
+            model_names = [r.model_name for r in results]
+            assert model_names == sorted(model_names, key=str.lower)
+
+    def test_empty_data_raises_onyx_error(self) -> None:
+        """Test that empty model list raises OnyxError."""
+        from onyx.server.manage.llm.api import get_litellm_available_models
+
+        mock_session = MagicMock()
+
+        with patch("onyx.server.manage.llm.api.httpx.get") as mock_get:
+            mock_response = MagicMock()
+            mock_response.json.return_value = {"data": []}
+            mock_response.raise_for_status = MagicMock()
+            mock_get.return_value = mock_response
+
+            request = LitellmModelsRequest(
+                api_base="http://localhost:4000",
+                api_key="test-key",
+            )
+            with pytest.raises(OnyxError, match="No models found"):
+                get_litellm_available_models(request, MagicMock(), mock_session)
+
+    def test_missing_data_key_raises_onyx_error(self) -> None:
+        """Test that response without 'data' key raises OnyxError."""
+        from onyx.server.manage.llm.api import get_litellm_available_models
+
+        mock_session = MagicMock()
+
+        with patch("onyx.server.manage.llm.api.httpx.get") as mock_get:
+            mock_response = MagicMock()
+            mock_response.json.return_value = {}
+            mock_response.raise_for_status = MagicMock()
+            mock_get.return_value = mock_response
+
+            request = LitellmModelsRequest(
+                api_base="http://localhost:4000",
+                api_key="test-key",
+            )
+            with pytest.raises(OnyxError):
+                get_litellm_available_models(request, MagicMock(), mock_session)
+
+    def test_skips_unparseable_entries(self) -> None:
+        """Test that malformed model entries are skipped without failing."""
+        from onyx.server.manage.llm.api import get_litellm_available_models
+
+        mock_session = MagicMock()
+        response_with_bad_entry = {
+            "data": [
+                {
+                    "id": "gpt-4o",
+                    "object": "model",
+                    "created": 1700000000,
+                    "owned_by": "openai",
+                },
+                # Missing required fields
+                {"bad_field": "bad_value"},
+            ]
+        }
+
+        with patch("onyx.server.manage.llm.api.httpx.get") as mock_get:
+            mock_response = MagicMock()
+            mock_response.json.return_value = response_with_bad_entry
+            mock_response.raise_for_status = MagicMock()
+            mock_get.return_value = mock_response
+
+            request = LitellmModelsRequest(
+                api_base="http://localhost:4000",
+                api_key="test-key",
+            )
+            results = get_litellm_available_models(request, MagicMock(), mock_session)
+
+            assert len(results) == 1
+            assert results[0].model_name == "gpt-4o"
+
+    def test_all_entries_unparseable_raises_onyx_error(self) -> None:
+        """Test that OnyxError is raised when all entries fail to parse."""
+        from onyx.server.manage.llm.api import get_litellm_available_models
+
+        mock_session = MagicMock()
+        response_all_bad = {
+            "data": [
+                {"bad_field": "bad_value"},
+                {"another_bad": 123},
+            ]
+        }
+
+        with patch("onyx.server.manage.llm.api.httpx.get") as mock_get:
+            mock_response = MagicMock()
+            mock_response.json.return_value = response_all_bad
+            mock_response.raise_for_status = MagicMock()
+            mock_get.return_value = mock_response
+
+            request = LitellmModelsRequest(
+                api_base="http://localhost:4000",
+                api_key="test-key",
+            )
+            with pytest.raises(OnyxError, match="No compatible models"):
+                get_litellm_available_models(request, MagicMock(), mock_session)
+
+    def test_api_base_trailing_slash_handled(self) -> None:
+        """Test that trailing slashes in api_base are handled correctly."""
+        from onyx.server.manage.llm.api import get_litellm_available_models
+
+        mock_session = MagicMock()
+        mock_litellm_response = {
+            "data": [
+                {
+                    "id": "gpt-4o",
+                    "object": "model",
+                    "created": 1700000000,
+                    "owned_by": "openai",
+                },
+            ]
+        }
+
+        with patch("onyx.server.manage.llm.api.httpx.get") as mock_get:
+            mock_response = MagicMock()
+            mock_response.json.return_value = mock_litellm_response
+            mock_response.raise_for_status = MagicMock()
+            mock_get.return_value = mock_response
+
+            request = LitellmModelsRequest(
+                api_base="http://localhost:4000/",
+                api_key="test-key",
+            )
+            get_litellm_available_models(request, MagicMock(), mock_session)
+
+            # Should call /v1/models without double slashes
+            call_args = mock_get.call_args
+            assert call_args[0][0] == "http://localhost:4000/v1/models"
+
+    def test_connection_failure_raises_onyx_error(self) -> None:
+        """Test that connection failures are wrapped in OnyxError."""
+        from onyx.server.manage.llm.api import get_litellm_available_models
+
+        mock_session = MagicMock()
+
+        with patch("onyx.server.manage.llm.api.httpx.get") as mock_get:
+            mock_get.side_effect = Exception("Connection refused")
+
+            request = LitellmModelsRequest(
+                api_base="http://localhost:4000",
+                api_key="test-key",
+            )
+            with pytest.raises(OnyxError, match="Failed to fetch LiteLLM models"):
+                get_litellm_available_models(request, MagicMock(), mock_session)
+
+    def test_401_raises_authentication_error(self) -> None:
+        """Test that a 401 response raises OnyxError with authentication message."""
+        from onyx.server.manage.llm.api import get_litellm_available_models
+
+        mock_session = MagicMock()
+
+        with patch("onyx.server.manage.llm.api.httpx.get") as mock_get:
+            mock_response = MagicMock()
+            mock_response.status_code = 401
+            mock_get.side_effect = httpx.HTTPStatusError(
+                "Unauthorized", request=MagicMock(), response=mock_response
+            )
+
+            request = LitellmModelsRequest(
+                api_base="http://localhost:4000",
+                api_key="bad-key",
+            )
+            with pytest.raises(OnyxError, match="Authentication failed"):
+                get_litellm_available_models(request, MagicMock(), mock_session)
+
+    def test_404_raises_not_found_error(self) -> None:
+        """Test that a 404 response raises OnyxError with endpoint not found message."""
+        from onyx.server.manage.llm.api import get_litellm_available_models
+
+        mock_session = MagicMock()
+
+        with patch("onyx.server.manage.llm.api.httpx.get") as mock_get:
+            mock_response = MagicMock()
+            mock_response.status_code = 404
+            mock_get.side_effect = httpx.HTTPStatusError(
+                "Not Found", request=MagicMock(), response=mock_response
+            )
+
+            request = LitellmModelsRequest(
+                api_base="http://localhost:4000",
+                api_key="test-key",
+            )
+            with pytest.raises(OnyxError, match="endpoint not found"):
+                get_litellm_available_models(request, MagicMock(), mock_session)

backend/tests/unit/onyx/server/test_full_user_snapshot.py

@@ -0,0 +1,54 @@
+import datetime
+from unittest.mock import MagicMock
+from uuid import uuid4
+
+from onyx.auth.schemas import UserRole
+from onyx.server.models import FullUserSnapshot
+from onyx.server.models import UserGroupInfo
+
+
+def _mock_user(
+    personal_name: str | None = "Test User",
+    created_at: datetime.datetime | None = None,
+    updated_at: datetime.datetime | None = None,
+) -> MagicMock:
+    user = MagicMock()
+    user.id = uuid4()
+    user.email = "test@example.com"
+    user.role = UserRole.BASIC
+    user.is_active = True
+    user.password_configured = True
+    user.personal_name = personal_name
+    user.created_at = created_at or datetime.datetime(
+        2025, 1, 1, tzinfo=datetime.timezone.utc
+    )
+    user.updated_at = updated_at or datetime.datetime(
+        2025, 6, 15, tzinfo=datetime.timezone.utc
+    )
+    return user
+
+
+def test_from_user_model_includes_new_fields() -> None:
+    user = _mock_user(personal_name="Alice")
+    groups = [UserGroupInfo(id=1, name="Engineering")]
+
+    snapshot = FullUserSnapshot.from_user_model(user, groups=groups)
+
+    assert snapshot.personal_name == "Alice"
+    assert snapshot.created_at == user.created_at
+    assert snapshot.updated_at == user.updated_at
+    assert snapshot.groups == groups
+
+
+def test_from_user_model_defaults_groups_to_empty() -> None:
+    user = _mock_user()
+    snapshot = FullUserSnapshot.from_user_model(user)
+
+    assert snapshot.groups == []
+
+
+def test_from_user_model_personal_name_none() -> None:
+    user = _mock_user(personal_name=None)
+    snapshot = FullUserSnapshot.from_user_model(user)
+
+    assert snapshot.personal_name is None

pyproject.toml

@@ -153,7 +153,7 @@ dev = [
     "pytest-repeat==0.9.4",
     "pytest-xdist==3.8.0",
     "pytest==8.3.5",
-    "release-tag==0.4.3",
+    "release-tag==0.5.2",
     "reorder-python-imports-black==3.14.0",
     "ruff==0.12.0",
     "types-beautifulsoup4==4.12.0.3",

uv.lock

@@ -4485,7 +4485,7 @@ requires-dist = [
     { name = "pywikibot", marker = "extra == 'backend'", specifier = "==9.0.0" },
     { name = "rapidfuzz", marker = "extra == 'backend'", specifier = "==3.13.0" },
     { name = "redis", marker = "extra == 'backend'", specifier = "==5.0.8" },
-    { name = "release-tag", marker = "extra == 'dev'", specifier = "==0.4.3" },
+    { name = "release-tag", marker = "extra == 'dev'", specifier = "==0.5.2" },
     { name = "reorder-python-imports-black", marker = "extra == 'dev'", specifier = "==3.14.0" },
     { name = "requests", marker = "extra == 'backend'", specifier = "==2.32.5" },
     { name = "requests-oauthlib", marker = "extra == 'backend'", specifier = "==1.3.1" },
@@ -6338,16 +6338,16 @@ wheels = [
 
 [[package]]
 name = "release-tag"
-version = "0.4.3"
+version = "0.5.2"
 source = { registry = "https://pypi.org/simple" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/39/18/c1d17d973f73f0aa7e2c45f852839ab909756e1bd9727d03babe400fcef0/release_tag-0.4.3-py3-none-any.whl", hash = "sha256:4206f4fa97df930c8176bfee4d3976a7385150ed14b317bd6bae7101ac8b66dd", size = 1181112, upload-time = "2025-12-03T00:18:19.445Z" },
-    { url = "https://files.pythonhosted.org/packages/33/c7/ecc443953840ac313856b2181f55eb8d34fa2c733cdd1edd0bcceee0938d/release_tag-0.4.3-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:7a347a9ad3d2af16e5367e52b451fbc88a0b7b666850758e8f9a601554a8fb13", size = 1170517, upload-time = "2025-12-03T00:18:11.663Z" },
-    { url = "https://files.pythonhosted.org/packages/ce/81/2f6ffa0d87c792364ca9958433fe088c8acc3d096ac9734040049c6ad506/release_tag-0.4.3-py3-none-macosx_11_0_arm64.whl", hash = "sha256:2d1603aa37d8e4f5df63676bbfddc802fbc108a744ba28288ad25c997981c164", size = 1101663, upload-time = "2025-12-03T00:18:15.173Z" },
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 ]
 
 [[package]]

web/jest.config.js

@@ -144,6 +144,7 @@ module.exports = {
         "**/src/app/**/hooks/*.test.ts", // Pure packet processor tests
         "**/src/refresh-components/**/*.test.ts",
         "**/src/sections/**/*.test.ts",
+        "**/src/components/**/*.test.ts",
         // Add more patterns here as you add more unit tests
       ],
     },

web/lib/opal/src/components/buttons/open-button/OpenButton.stories.tsx

@@ -1,5 +1,6 @@
 import type { Meta, StoryObj } from "@storybook/react";
 import { OpenButton } from "@opal/components";
+import { Disabled as DisabledProvider } from "@opal/core";
 import { SvgSettings } from "@opal/icons";
 import * as TooltipPrimitive from "@radix-ui/react-tooltip";
 
@@ -32,16 +33,9 @@ export const WithIcon: Story = {
   },
 };
 
-export const Selected: Story = {
-  args: {
-    selected: true,
-    children: "Selected",
-  },
-};
-
 export const Open: Story = {
   args: {
-    transient: true,
+    interaction: "hover",
     children: "Open state",
   },
 };
@@ -53,18 +47,27 @@ export const Disabled: Story = {
   },
 };
 
-export const LightProminence: Story = {
+export const Foldable: Story = {
   args: {
-    prominence: "light",
-    children: "Light prominence",
+    foldable: true,
+    icon: SvgSettings,
+    children: "Settings",
   },
 };
 
-export const HeavyProminence: Story = {
+export const FoldableDisabled: Story = {
   args: {
-    prominence: "heavy",
-    children: "Heavy prominence",
+    foldable: true,
+    icon: SvgSettings,
+    children: "Settings",
   },
+  decorators: [
+    (Story) => (
+      <DisabledProvider disabled>
+        <Story />
+      </DisabledProvider>
+    ),
+  ],
 };
 
 export const Sizes: Story = {
@@ -78,3 +81,12 @@ export const Sizes: Story = {
     </div>
   ),
 };
+
+export const WithTooltip: Story = {
+  args: {
+    icon: SvgSettings,
+    children: "Settings",
+    tooltip: "Open settings",
+    tooltipSide: "bottom",
+  },
+};

web/lib/opal/src/components/buttons/open-button/README.md

@@ -17,7 +17,9 @@ OpenButton is a **tighter, specialized use-case** of SelectButton:
 - It hardcodes `variant="select-heavy"` (SelectButton exposes `variant`)
 - It adds a built-in chevron with CSS-driven rotation (SelectButton has no chevron)
 - It auto-detects Radix `data-state="open"` to derive `interaction` (SelectButton has no Radix awareness)
-- It does not support `foldable` or `rightIcon` (SelectButton does)
+- It does not support `rightIcon` (SelectButton does)
+
+Both components support `foldable` using the same pattern: `interactive-foldable-host` class + `Interactive.Foldable` wrapper around the label and trailing icon. When foldable, the left icon stays visible while the rest collapses. If you change the foldable implementation in one, update the other to match.
 
 If you need a general-purpose stateful toggle, use `SelectButton`. If you need a popover/dropdown trigger with a chevron, use `OpenButton`.
 
@@ -26,10 +28,12 @@ If you need a general-purpose stateful toggle, use `SelectButton`. If you need a
 ```
 Interactive.Stateful           <- variant="select-heavy", interaction, state, disabled, onClick
   └─ Interactive.Container     <- height, rounding, padding (from `size`)
-       └─ div.opal-button.interactive-foreground
+       └─ div.opal-button.interactive-foreground [.interactive-foldable-host]
             ├─ div > Icon?                 (interactive-foreground-icon)
-            ├─ <span>?                     .opal-button-label
-            └─ div > ChevronIcon           .opal-open-button-chevron (interactive-foreground-icon)
+            ├─ [Foldable]?                 (wraps label + chevron when foldable)
+            │    ├─ <span>?                .opal-button-label
+            │    └─ div > ChevronIcon      .opal-open-button-chevron
+            └─ <span>? / ChevronIcon       (non-foldable)
 ```
 
 - **`interaction` controls both the chevron and the hover visual state.** When `interaction` is `"hover"` (explicitly or via Radix `data-state="open"`), the chevron rotates 180° and the hover background activates.
@@ -44,6 +48,7 @@ Interactive.Stateful           <- variant="select-heavy", interaction, state, di
 | `interaction` | `"rest" \| "hover" \| "active"` | auto | JS-controlled interaction override. Falls back to Radix `data-state="open"` when omitted. |
 | `icon` | `IconFunctionComponent` | — | Left icon component |
 | `children` | `string` | — | Content between icon and chevron |
+| `foldable` | `boolean` | `false` | When `true`, requires both `icon` and `children`; the left icon stays visible while the label + chevron collapse when not hovered. If `tooltip` is omitted on a disabled foldable button, the label text is used as the tooltip. |
 | `size` | `SizeVariant` | `"lg"` | Size preset controlling height, rounding, and padding |
 | `width` | `WidthVariant` | — | Width preset |
 | `tooltip` | `string` | — | Tooltip text shown on hover |

web/lib/opal/src/components/buttons/open-button/components.tsx

@@ -2,6 +2,7 @@ import "@opal/components/buttons/open-button/styles.css";
 import "@opal/components/tooltip.css";
 import {
   Interactive,
+  useDisabled,
   type InteractiveStatefulProps,
   type InteractiveStatefulInteraction,
 } from "@opal/core";
@@ -30,27 +31,46 @@ function ChevronIcon({ className, ...props }: IconProps) {
 // Types
 // ---------------------------------------------------------------------------
 
-type OpenButtonProps = Omit<InteractiveStatefulProps, "variant"> & {
-  /** Left icon. */
-  icon?: IconFunctionComponent;
+/**
+ * Content props — a discriminated union on `foldable` that enforces:
+ *
+ * - `foldable: true`  → `icon` and `children` are required (icon stays visible,
+ *                        label + chevron fold away)
+ * - `foldable?: false` → at least one of `icon` or `children` must be provided
+ */
+type OpenButtonContentProps =
+  | {
+      foldable: true;
+      icon: IconFunctionComponent;
+      children: string;
+    }
+  | {
+      foldable?: false;
+      icon?: IconFunctionComponent;
+      children: string;
+    }
+  | {
+      foldable?: false;
+      icon: IconFunctionComponent;
+      children?: string;
+    };
 
-  /** Button label text. */
-  children?: string;
+type OpenButtonProps = Omit<InteractiveStatefulProps, "variant"> &
+  OpenButtonContentProps & {
+    /**
+     * Size preset — controls gap, text size, and Container height/rounding.
+     */
+    size?: SizeVariant;
 
-  /**
-   * Size preset — controls gap, text size, and Container height/rounding.
-   */
-  size?: SizeVariant;
+    /** Width preset. */
+    width?: WidthVariant;
 
-  /** Width preset. */
-  width?: WidthVariant;
+    /** Tooltip text shown on hover. */
+    tooltip?: string;
 
-  /** Tooltip text shown on hover. */
-  tooltip?: string;
-
-  /** Which side the tooltip appears on. */
-  tooltipSide?: TooltipSide;
-};
+    /** Which side the tooltip appears on. */
+    tooltipSide?: TooltipSide;
+  };
 
 // ---------------------------------------------------------------------------
 // OpenButton
@@ -60,12 +80,15 @@ function OpenButton({
   icon: Icon,
   children,
   size = "lg",
+  foldable,
   width,
   tooltip,
   tooltipSide = "top",
   interaction,
   ...statefulProps
 }: OpenButtonProps) {
+  const { isDisabled } = useDisabled();
+
   // Derive open state: explicit prop → Radix data-state (injected via Slot chain)
   const dataState = (statefulProps as Record<string, unknown>)["data-state"] as
     | string
@@ -75,6 +98,17 @@ function OpenButton({
 
   const isLarge = size === "lg";
 
+  const labelEl = children ? (
+    <span
+      className={cn(
+        "opal-button-label whitespace-nowrap",
+        isLarge ? "font-main-ui-body" : "font-secondary-body"
+      )}
+    >
+      {children}
+    </span>
+  ) : null;
+
   const button = (
     <Interactive.Stateful
       variant="select-heavy"
@@ -89,25 +123,34 @@ function OpenButton({
           isLarge ? "default" : size === "2xs" ? "mini" : "compact"
         }
       >
-        <div className="opal-button interactive-foreground flex flex-row items-center gap-1">
-          {iconWrapper(Icon, size, false)}
-          {children && (
-            <span
-              className={cn(
-                "opal-button-label whitespace-nowrap",
-                isLarge ? "font-main-ui-body" : "font-secondary-body"
-              )}
-            >
-              {children}
-            </span>
+        <div
+          className={cn(
+            "opal-button interactive-foreground flex flex-row items-center gap-1",
+            foldable && "interactive-foldable-host"
+          )}
+        >
+          {iconWrapper(Icon, size, !foldable && !!children)}
+
+          {foldable ? (
+            <Interactive.Foldable>
+              {labelEl}
+              {iconWrapper(ChevronIcon, size, !!children)}
+            </Interactive.Foldable>
+          ) : (
+            <>
+              {labelEl}
+              {iconWrapper(ChevronIcon, size, !!children)}
+            </>
           )}
-          {iconWrapper(ChevronIcon, size, false)}
         </div>
       </Interactive.Container>
     </Interactive.Stateful>
   );
 
-  if (!tooltip) return button;
+  const resolvedTooltip =
+    tooltip ?? (foldable && isDisabled && children ? children : undefined);
+
+  if (!resolvedTooltip) return button;
 
   return (
     <TooltipPrimitive.Root>
@@ -118,7 +161,7 @@ function OpenButton({
           side={tooltipSide}
           sideOffset={4}
         >
-          {tooltip}
+          {resolvedTooltip}
         </TooltipPrimitive.Content>
       </TooltipPrimitive.Portal>
     </TooltipPrimitive.Root>

web/lib/opal/src/components/buttons/select-button/README.md

@@ -17,7 +17,9 @@ Interactive.Stateful → Interactive.Container → content row (icon + label + t
 - OpenButton hardcodes `variant="select-heavy"` (SelectButton exposes `variant`)
 - OpenButton adds a built-in chevron with CSS-driven rotation (SelectButton has no chevron)
 - OpenButton auto-detects Radix `data-state="open"` to derive `interaction` (SelectButton has no Radix awareness)
-- OpenButton does not support `foldable` or `rightIcon` (SelectButton does)
+- OpenButton does not support `rightIcon` (SelectButton does)
+
+Both components support `foldable` using the same pattern: `interactive-foldable-host` class + `Interactive.Foldable` wrapper around the label and trailing icon. When foldable, the left icon stays visible while the rest collapses. If you change the foldable implementation in one, update the other to match.
 
 Use SelectButton for general-purpose stateful toggles. Use `OpenButton` for popover/dropdown triggers with a chevron.
 

web/lib/opal/src/core/interactive/Interactive.stories.tsx

@@ -1,5 +1,5 @@
 import type { Meta, StoryObj } from "@storybook/react";
-import { Interactive } from "@opal/core";
+import { Interactive, Disabled } from "@opal/core";
 
 // ---------------------------------------------------------------------------
 // Variant / Prominence mappings for the matrix story
@@ -9,8 +9,6 @@ const VARIANT_PROMINENCE_MAP: Record<string, string[]> = {
   default: ["primary", "secondary", "tertiary", "internal"],
   action: ["primary", "secondary", "tertiary", "internal"],
   danger: ["primary", "secondary", "tertiary", "internal"],
-  select: ["light", "heavy"],
-  sidebar: ["light"],
   none: [],
 };
 
@@ -35,39 +33,39 @@ export default meta;
 // Stories
 // ---------------------------------------------------------------------------
 
-/** Basic Interactive.Base + Container with text content. */
+/** Basic Interactive.Stateless + Container with text content. */
 export const Default: StoryObj = {
   render: () => (
     <div style={{ display: "flex", gap: "0.75rem", alignItems: "center" }}>
-      <Interactive.Base
+      <Interactive.Stateless
         variant="default"
         prominence="secondary"
         onClick={() => {}}
       >
         <Interactive.Container border>
-          <span>Secondary</span>
+          <span className="interactive-foreground">Secondary</span>
         </Interactive.Container>
-      </Interactive.Base>
+      </Interactive.Stateless>
 
-      <Interactive.Base
+      <Interactive.Stateless
         variant="default"
         prominence="primary"
         onClick={() => {}}
       >
         <Interactive.Container border>
-          <span>Primary</span>
+          <span className="interactive-foreground">Primary</span>
         </Interactive.Container>
-      </Interactive.Base>
+      </Interactive.Stateless>
 
-      <Interactive.Base
+      <Interactive.Stateless
         variant="default"
         prominence="tertiary"
         onClick={() => {}}
       >
         <Interactive.Container border>
-          <span>Tertiary</span>
+          <span className="interactive-foreground">Tertiary</span>
         </Interactive.Container>
-      </Interactive.Base>
+      </Interactive.Stateless>
     </div>
   ),
 };
@@ -91,11 +89,13 @@ export const VariantMatrix: StoryObj = {
           </div>
 
           {prominences.length === 0 ? (
-            <Interactive.Base variant="none" onClick={() => {}}>
+            <Interactive.Stateless variant="none" onClick={() => {}}>
               <Interactive.Container border>
-                <span>none (no prominence)</span>
+                <span style={{ color: "var(--text-01)" }}>
+                  none (no prominence)
+                </span>
               </Interactive.Container>
-            </Interactive.Base>
+            </Interactive.Stateless>
           ) : (
             <div style={{ display: "flex", gap: "0.5rem", flexWrap: "wrap" }}>
               {prominences.map((prominence) => (
@@ -108,16 +108,18 @@ export const VariantMatrix: StoryObj = {
                     gap: "0.25rem",
                   }}
                 >
-                  <Interactive.Base
+                  <Interactive.Stateless
                     // Cast required because the discriminated union can't be
                     // resolved from dynamic strings at the type level.
                     {...({ variant, prominence } as any)}
                     onClick={() => {}}
                   >
                     <Interactive.Container border>
-                      <span>{prominence}</span>
+                      <span className="interactive-foreground">
+                        {prominence}
+                      </span>
                     </Interactive.Container>
-                  </Interactive.Base>
+                  </Interactive.Stateless>
                   <span
                     style={{
                       fontSize: "0.625rem",
@@ -141,16 +143,16 @@ export const Sizes: StoryObj = {
   render: () => (
     <div style={{ display: "flex", alignItems: "center", gap: "0.75rem" }}>
       {SIZE_VARIANTS.map((size) => (
-        <Interactive.Base
+        <Interactive.Stateless
           key={size}
           variant="default"
           prominence="secondary"
           onClick={() => {}}
         >
           <Interactive.Container border heightVariant={size}>
-            <span>{size}</span>
+            <span className="interactive-foreground">{size}</span>
           </Interactive.Container>
-        </Interactive.Base>
+        </Interactive.Stateless>
       ))}
     </div>
   ),
@@ -160,15 +162,15 @@ export const Sizes: StoryObj = {
 export const WidthFull: StoryObj = {
   render: () => (
     <div style={{ width: 400 }}>
-      <Interactive.Base
+      <Interactive.Stateless
         variant="default"
         prominence="secondary"
         onClick={() => {}}
       >
         <Interactive.Container border widthVariant="full">
-          <span>Full width container</span>
+          <span className="interactive-foreground">Full width container</span>
         </Interactive.Container>
-      </Interactive.Base>
+      </Interactive.Stateless>
     </div>
   ),
 };
@@ -178,73 +180,86 @@ export const Rounding: StoryObj = {
   render: () => (
     <div style={{ display: "flex", gap: "0.75rem" }}>
       {ROUNDING_VARIANTS.map((rounding) => (
-        <Interactive.Base
+        <Interactive.Stateless
           key={rounding}
           variant="default"
           prominence="secondary"
           onClick={() => {}}
         >
           <Interactive.Container border roundingVariant={rounding}>
-            <span>{rounding}</span>
+            <span className="interactive-foreground">{rounding}</span>
           </Interactive.Container>
-        </Interactive.Base>
+        </Interactive.Stateless>
       ))}
     </div>
   ),
 };
 
 /** Disabled state prevents clicks and shows disabled styling. */
-export const Disabled: StoryObj = {
+export const DisabledStory: StoryObj = {
+  name: "Disabled",
   render: () => (
     <div style={{ display: "flex", gap: "0.75rem" }}>
-      <Interactive.Base
-        variant="default"
-        prominence="secondary"
-        onClick={() => {}}
-        disabled
-      >
-        <Interactive.Container border>
-          <span>Disabled</span>
-        </Interactive.Container>
-      </Interactive.Base>
+      <Disabled disabled>
+        <Interactive.Stateless
+          variant="default"
+          prominence="secondary"
+          onClick={() => {}}
+        >
+          <Interactive.Container border>
+            <span className="interactive-foreground">Disabled</span>
+          </Interactive.Container>
+        </Interactive.Stateless>
+      </Disabled>
 
-      <Interactive.Base
+      <Interactive.Stateless
         variant="default"
         prominence="secondary"
         onClick={() => {}}
       >
         <Interactive.Container border>
-          <span>Enabled</span>
+          <span className="interactive-foreground">Enabled</span>
         </Interactive.Container>
-      </Interactive.Base>
+      </Interactive.Stateless>
     </div>
   ),
 };
 
-/** Transient prop forces the hover/active visual state. */
-export const Transient: StoryObj = {
+/** Interaction override forces the hover/active visual state. */
+export const Interaction: StoryObj = {
   render: () => (
     <div style={{ display: "flex", gap: "0.75rem" }}>
-      <Interactive.Base
+      <Interactive.Stateless
         variant="default"
         prominence="secondary"
+        interaction="hover"
         onClick={() => {}}
-        transient
       >
         <Interactive.Container border>
-          <span>Forced hover</span>
+          <span className="interactive-foreground">Forced hover</span>
         </Interactive.Container>
-      </Interactive.Base>
+      </Interactive.Stateless>
 
-      <Interactive.Base
+      <Interactive.Stateless
+        variant="default"
+        prominence="secondary"
+        interaction="active"
+        onClick={() => {}}
+      >
+        <Interactive.Container border>
+          <span className="interactive-foreground">Forced active</span>
+        </Interactive.Container>
+      </Interactive.Stateless>
+
+      <Interactive.Stateless
         variant="default"
         prominence="secondary"
         onClick={() => {}}
       >
         <Interactive.Container border>
-          <span>Normal</span>
+          <span className="interactive-foreground">Normal (rest)</span>
         </Interactive.Container>
-      </Interactive.Base>
+      </Interactive.Stateless>
     </div>
   ),
 };
@@ -253,25 +268,25 @@ export const Transient: StoryObj = {
 export const WithBorder: StoryObj = {
   render: () => (
     <div style={{ display: "flex", gap: "0.75rem" }}>
-      <Interactive.Base
+      <Interactive.Stateless
         variant="default"
         prominence="secondary"
         onClick={() => {}}
       >
         <Interactive.Container border>
-          <span>With border</span>
+          <span className="interactive-foreground">With border</span>
         </Interactive.Container>
-      </Interactive.Base>
+      </Interactive.Stateless>
 
-      <Interactive.Base
+      <Interactive.Stateless
         variant="default"
         prominence="secondary"
         onClick={() => {}}
       >
         <Interactive.Container>
-          <span>Without border</span>
+          <span className="interactive-foreground">Without border</span>
         </Interactive.Container>
-      </Interactive.Base>
+      </Interactive.Stateless>
     </div>
   ),
 };
@@ -279,51 +294,57 @@ export const WithBorder: StoryObj = {
 /** Using href to render as a link. */
 export const AsLink: StoryObj = {
   render: () => (
-    <Interactive.Base variant="action" href="/settings">
+    <Interactive.Stateless variant="action" href="/settings">
       <Interactive.Container border>
-        <span>Go to Settings</span>
+        <span className="interactive-foreground">Go to Settings</span>
       </Interactive.Container>
-    </Interactive.Base>
+    </Interactive.Stateless>
   ),
 };
 
-/** Select variant with selected and unselected states. */
+/** Stateful select variant with selected and unselected states. */
 export const SelectVariant: StoryObj = {
   render: () => (
     <div style={{ display: "flex", gap: "0.75rem" }}>
-      <Interactive.Base
-        variant="select"
-        prominence="light"
-        selected
+      <Interactive.Stateful
+        variant="select-light"
+        state="selected"
         onClick={() => {}}
       >
         <Interactive.Container border>
-          <span>Selected (light)</span>
+          <span className="interactive-foreground">Selected (light)</span>
         </Interactive.Container>
-      </Interactive.Base>
+      </Interactive.Stateful>
 
-      <Interactive.Base variant="select" prominence="light" onClick={() => {}}>
-        <Interactive.Container border>
-          <span>Unselected (light)</span>
-        </Interactive.Container>
-      </Interactive.Base>
-
-      <Interactive.Base
-        variant="select"
-        prominence="heavy"
-        selected
+      <Interactive.Stateful
+        variant="select-light"
+        state="empty"
         onClick={() => {}}
       >
         <Interactive.Container border>
-          <span>Selected (heavy)</span>
+          <span className="interactive-foreground">Unselected (light)</span>
         </Interactive.Container>
-      </Interactive.Base>
+      </Interactive.Stateful>
 
-      <Interactive.Base variant="select" prominence="heavy" onClick={() => {}}>
+      <Interactive.Stateful
+        variant="select-heavy"
+        state="selected"
+        onClick={() => {}}
+      >
         <Interactive.Container border>
-          <span>Unselected (heavy)</span>
+          <span className="interactive-foreground">Selected (heavy)</span>
         </Interactive.Container>
-      </Interactive.Base>
+      </Interactive.Stateful>
+
+      <Interactive.Stateful
+        variant="select-heavy"
+        state="empty"
+        onClick={() => {}}
+      >
+        <Interactive.Container border>
+          <span className="interactive-foreground">Unselected (heavy)</span>
+        </Interactive.Container>
+      </Interactive.Stateful>
     </div>
   ),
 };

web/lib/opal/src/icons/index.ts

@@ -89,7 +89,7 @@ export { default as SvgHistory } from "@opal/icons/history";
 export { default as SvgHourglass } from "@opal/icons/hourglass";
 export { default as SvgImage } from "@opal/icons/image";
 export { default as SvgImageSmall } from "@opal/icons/image-small";
-export { default as SvgImport } from "@opal/icons/import";
+export { default as SvgImport } from "@opal/icons/import-icon";
 export { default as SvgInfo } from "@opal/icons/info";
 export { default as SvgInfoSmall } from "@opal/icons/info-small";
 export { default as SvgKey } from "@opal/icons/key";

web/src/app/admin/configuration/llm/utils.ts

@@ -14,6 +14,7 @@ import {
   QwenIcon,
   OllamaIcon,
   LMStudioIcon,
+  LiteLLMIcon,
   ZAIIcon,
 } from "@/components/icons/icons";
 import {
@@ -21,12 +22,14 @@ import {
   OpenRouterModelResponse,
   BedrockModelResponse,
   LMStudioModelResponse,
+  LiteLLMProxyModelResponse,
   ModelConfiguration,
   LLMProviderName,
   BedrockFetchParams,
   OllamaFetchParams,
   LMStudioFetchParams,
   OpenRouterFetchParams,
+  LiteLLMProxyFetchParams,
 } from "@/interfaces/llm";
 import { SvgAws, SvgOpenrouter } from "@opal/icons";
 
@@ -37,6 +40,7 @@ export const AGGREGATOR_PROVIDERS = new Set([
   "openrouter",
   "ollama_chat",
   "lm_studio",
+  "litellm_proxy",
   "vertex_ai",
 ]);
 
@@ -73,6 +77,7 @@ export const getProviderIcon = (
     bedrock: SvgAws,
     bedrock_converse: SvgAws,
     openrouter: SvgOpenrouter,
+    litellm_proxy: LiteLLMIcon,
     vertex_ai: GeminiIcon,
   };
 
@@ -338,6 +343,65 @@ export const fetchLMStudioModels = async (
   }
 };
 
+/**
+ * Fetches LiteLLM Proxy models directly without any form state dependencies.
+ * Uses snake_case params to match API structure.
+ */
+export const fetchLiteLLMProxyModels = async (
+  params: LiteLLMProxyFetchParams
+): Promise<{ models: ModelConfiguration[]; error?: string }> => {
+  const apiBase = params.api_base;
+  const apiKey = params.api_key;
+  if (!apiBase) {
+    return { models: [], error: "API Base is required" };
+  }
+  if (!apiKey) {
+    return { models: [], error: "API Key is required" };
+  }
+
+  try {
+    const response = await fetch("/api/admin/llm/litellm/available-models", {
+      method: "POST",
+      headers: {
+        "Content-Type": "application/json",
+      },
+      body: JSON.stringify({
+        api_base: apiBase,
+        api_key: apiKey,
+        provider_name: params.provider_name,
+      }),
+      signal: params.signal,
+    });
+
+    if (!response.ok) {
+      let errorMessage = "Failed to fetch models";
+      try {
+        const errorData = await response.json();
+        errorMessage = errorData.detail || errorData.message || errorMessage;
+      } catch {
+        // ignore JSON parsing errors
+      }
+      return { models: [], error: errorMessage };
+    }
+
+    const data: LiteLLMProxyModelResponse[] = await response.json();
+    const models: ModelConfiguration[] = data.map((modelData) => ({
+      name: modelData.model_name,
+      display_name: modelData.model_name,
+      is_visible: true,
+      max_input_tokens: null,
+      supports_image_input: false,
+      supports_reasoning: false,
+    }));
+
+    return { models };
+  } catch (error) {
+    const errorMessage =
+      error instanceof Error ? error.message : "Unknown error";
+    return { models: [], error: errorMessage };
+  }
+};
+
 /**
  * Fetches models for a provider. Accepts form values directly and maps them
  * to the expected fetch params format internally.
@@ -385,6 +449,13 @@ export const fetchModels = async (
         api_key: formValues.api_key,
         provider_name: formValues.name,
       });
+    case LLMProviderName.LITELLM_PROXY:
+      return fetchLiteLLMProxyModels({
+        api_base: formValues.api_base,
+        api_key: formValues.api_key,
+        provider_name: formValues.name,
+        signal,
+      });
     default:
       return { models: [], error: `Unknown provider: ${providerName}` };
   }
@@ -397,6 +468,7 @@ export function canProviderFetchModels(providerName?: string) {
     case LLMProviderName.OLLAMA_CHAT:
     case LLMProviderName.LM_STUDIO:
     case LLMProviderName.OPENROUTER:
+    case LLMProviderName.LITELLM_PROXY:
       return true;
     default:
       return false;

web/src/app/admin/users2/page.tsx

@@ -0,0 +1 @@
+export { default } from "@/refresh-pages/admin/UsersPage";

web/src/app/app/message/FileDisplay.tsx

@@ -1,6 +1,7 @@
 "use client";
 
-import { useState } from "react";
+import { ReactNode, useState } from "react";
+import { cn } from "@/lib/utils";
 import { ChatFileType, FileDescriptor } from "@/app/app/interfaces";
 import Attachment from "@/refresh-components/Attachment";
 import { InMessageImage } from "@/app/app/components/files/images/InMessageImage";
@@ -9,10 +10,27 @@ import PreviewModal from "@/sections/modals/PreviewModal";
 import { MinimalOnyxDocument } from "@/lib/search/interfaces";
 import ExpandableContentWrapper from "@/components/tools/ExpandableContentWrapper";
 
+interface FileContainerProps {
+  children: ReactNode;
+  className?: string;
+  id?: string;
+}
+
 interface FileDisplayProps {
   files: FileDescriptor[];
 }
 
+function FileContainer({ children, className, id }: FileContainerProps) {
+  return (
+    <div
+      id={id}
+      className={cn("flex w-full flex-col items-end gap-2 py-2", className)}
+    >
+      {children}
+    </div>
+  );
+}
+
 export default function FileDisplay({ files }: FileDisplayProps) {
   const [close, setClose] = useState(true);
   const [previewingFile, setPreviewingFile] = useState<FileDescriptor | null>(
@@ -41,7 +59,7 @@ export default function FileDisplay({ files }: FileDisplayProps) {
       )}
 
       {textFiles.length > 0 && (
-        <div id="onyx-file" className="flex flex-col items-end gap-2 py-2">
+        <FileContainer id="onyx-file">
           {textFiles.map((file) => (
             <Attachment
               key={file.id}
@@ -49,40 +67,36 @@ export default function FileDisplay({ files }: FileDisplayProps) {
               open={() => setPreviewingFile(file)}
             />
           ))}
-        </div>
+        </FileContainer>
       )}
 
       {imageFiles.length > 0 && (
-        <div id="onyx-image" className="flex flex-col items-end gap-2 py-2">
+        <FileContainer id="onyx-image">
           {imageFiles.map((file) => (
             <InMessageImage key={file.id} fileId={file.id} />
           ))}
-        </div>
+        </FileContainer>
       )}
 
       {csvFiles.length > 0 && (
-        <div className="flex flex-col items-end gap-2 py-2">
-          {csvFiles.map((file) => {
-            return (
-              <div key={file.id} className="w-fit">
-                {close ? (
-                  <>
-                    <ExpandableContentWrapper
-                      fileDescriptor={file}
-                      close={() => setClose(false)}
-                      ContentComponent={CsvContent}
-                    />
-                  </>
-                ) : (
-                  <Attachment
-                    open={() => setClose(true)}
-                    fileName={file.name || file.id}
-                  />
-                )}
-              </div>
-            );
-          })}
-        </div>
+        <FileContainer className="overflow-auto">
+          {csvFiles.map((file) =>
+            close ? (
+              <ExpandableContentWrapper
+                key={file.id}
+                fileDescriptor={file}
+                close={() => setClose(false)}
+                ContentComponent={CsvContent}
+              />
+            ) : (
+              <Attachment
+                key={file.id}
+                open={() => setClose(true)}
+                fileName={file.name || file.id}
+              />
+            )
+          )}
+        </FileContainer>
       )}
     </>
   );

web/src/app/app/message/messageComponents/MessageToolbar.tsx

@@ -249,6 +249,7 @@ export default function MessageToolbar({
             <SelectButton
               icon={SvgThumbsUp}
               onClick={() => handleFeedbackClick("like")}
+              variant="select-light"
               state={isFeedbackTransient("like") ? "selected" : "empty"}
               tooltip={
                 currentFeedback === "like" ? "Remove Like" : "Good Response"
@@ -258,6 +259,7 @@ export default function MessageToolbar({
             <SelectButton
               icon={SvgThumbsDown}
               onClick={() => handleFeedbackClick("dislike")}
+              variant="select-light"
               state={isFeedbackTransient("dislike") ? "selected" : "empty"}
               tooltip={
                 currentFeedback === "dislike"
@@ -283,7 +285,7 @@ export default function MessageToolbar({
                       });
                       regenerator(llmDescriptor);
                     }}
-                    folded
+                    foldable
                   />
                 </div>
               )}

web/src/app/nrf/NRFChrome.tsx

@@ -11,7 +11,7 @@ import { Button } from "@opal/components";
 import { SvgBubbleText, SvgSearchMenu, SvgSidebar } from "@opal/icons";
 import MinimalMarkdown from "@/components/chat/MinimalMarkdown";
 import { useSettingsContext } from "@/providers/SettingsProvider";
-import { AppMode, useAppMode } from "@/providers/AppModeProvider";
+import type { AppMode } from "@/providers/QueryControllerProvider";
 import useAppFocus from "@/hooks/useAppFocus";
 import { useQueryController } from "@/providers/QueryControllerProvider";
 import { usePaidEnterpriseFeaturesEnabled } from "@/components/settings/usePaidEnterpriseFeaturesEnabled";
@@ -58,15 +58,15 @@ const footerMarkdownComponents = {
  */
 export default function NRFChrome() {
   const isPaidEnterpriseFeaturesEnabled = usePaidEnterpriseFeaturesEnabled();
-  const { appMode, setAppMode } = useAppMode();
+  const { state, setAppMode } = useQueryController();
   const settings = useSettingsContext();
   const { isMobile } = useScreenSize();
   const { setFolded } = useAppSidebarContext();
   const appFocus = useAppFocus();
-  const { classification } = useQueryController();
   const [modePopoverOpen, setModePopoverOpen] = useState(false);
 
-  const effectiveMode: AppMode = appFocus.isNewSession() ? appMode : "chat";
+  const effectiveMode: AppMode =
+    appFocus.isNewSession() && state.phase === "idle" ? state.appMode : "chat";
 
   const customFooterContent =
     settings?.enterpriseSettings?.custom_lower_disclaimer_content ||
@@ -78,7 +78,7 @@ export default function NRFChrome() {
     isPaidEnterpriseFeaturesEnabled &&
     settings.isSearchModeAvailable &&
     appFocus.isNewSession() &&
-    !classification;
+    state.phase === "idle";
 
   const showHeader = isMobile || showModeToggle;
 

web/src/app/nrf/NRFPage.tsx

@@ -175,7 +175,7 @@ export default function NRFPage({ isSidePanel = false }: NRFPageProps) {
   const isStreaming = currentChatState === "streaming";
 
   // Query controller for search/chat classification (EE feature)
-  const { submit: submitQuery, classification } = useQueryController();
+  const { submit: submitQuery, state } = useQueryController();
 
   // Determine if retrieval (search) is enabled based on the agent
   const retrievalEnabled = useMemo(() => {
@@ -186,7 +186,8 @@ export default function NRFPage({ isSidePanel = false }: NRFPageProps) {
   }, [liveAgent]);
 
   // Check if we're in search mode
-  const isSearch = classification === "search";
+  const isSearch =
+    state.phase === "searching" || state.phase === "search-results";
 
   // Anchor for scroll positioning (matches ChatPage pattern)
   const anchorMessage = messageHistory.at(-2) ?? messageHistory[0];
@@ -317,7 +318,7 @@ export default function NRFPage({ isSidePanel = false }: NRFPageProps) {
       };
 
       // Use submitQuery which will classify the query and either:
-      // - Route to search (sets classification to "search" and shows SearchUI)
+      // - Route to search (sets phase to "searching"/"search-results" and shows SearchUI)
       // - Route to chat (calls onChat callback)
       await submitQuery(submittedMessage, onChat);
     },

web/src/components/admin/ClientLayout.tsx

@@ -31,6 +31,7 @@ const SETTINGS_LAYOUT_PREFIXES = [
   ADMIN_PATHS.LLM_MODELS,
   ADMIN_PATHS.AGENTS,
   ADMIN_PATHS.USERS,
+  ADMIN_PATHS.USERS_V2,
   ADMIN_PATHS.TOKEN_RATE_LIMITS,
   ADMIN_PATHS.SEARCH_SETTINGS,
   ADMIN_PATHS.DOCUMENT_PROCESSING,

web/src/components/tools/CSVContent.tsx

@@ -60,27 +60,28 @@ const CsvContent: React.FC<ContentComponentProps> = ({
       }
 
       const csvData = await response.text();
-      const rows = csvData.trim().split("\n");
+      const rows = parseCSV(csvData.trim());
       const firstRow = rows[0];
       if (!firstRow) {
         throw new Error("CSV file is empty");
       }
-      const parsedHeaders = firstRow.split(",");
+      const parsedHeaders = firstRow;
       setHeaders(parsedHeaders);
 
-      const parsedData: Record<string, string>[] = rows.slice(1).map((row) => {
-        const values = row.split(",");
-        return parsedHeaders.reduce<Record<string, string>>(
-          (obj, header, index) => {
-            const val = values[index];
-            if (val !== undefined) {
-              obj[header] = val;
-            }
-            return obj;
-          },
-          {}
-        );
-      });
+      const parsedData: Record<string, string>[] = rows
+        .slice(1)
+        .map((fields) => {
+          return parsedHeaders.reduce<Record<string, string>>(
+            (obj, header, index) => {
+              const val = fields[index];
+              if (val !== undefined) {
+                obj[header] = val;
+              }
+              return obj;
+            },
+            {}
+          );
+        });
       setData(parsedData);
       csvCache.set(id, { headers: parsedHeaders, data: parsedData });
     } catch (error) {
@@ -173,3 +174,53 @@ const csvCache = new Map<
   string,
   { headers: string[]; data: Record<string, string>[] }
 >();
+
+export function parseCSV(text: string): string[][] {
+  const rows: string[][] = [];
+  let field = "";
+  let fields: string[] = [];
+  let inQuotes = false;
+
+  for (let i = 0; i < text.length; i++) {
+    const char = text[i];
+
+    if (inQuotes) {
+      if (char === '"') {
+        if (i + 1 < text.length && text[i + 1] === '"') {
+          field += '"';
+          i++;
+        } else {
+          inQuotes = false;
+        }
+      } else {
+        field += char;
+      }
+    } else if (char === '"') {
+      inQuotes = true;
+    } else if (char === ",") {
+      fields.push(field);
+      field = "";
+    } else if (char === "\n" || char === "\r") {
+      if (char === "\r" && i + 1 < text.length && text[i + 1] === "\n") {
+        i++;
+      }
+      fields.push(field);
+      field = "";
+      rows.push(fields);
+      fields = [];
+    } else {
+      field += char;
+    }
+  }
+
+  if (inQuotes) {
+    throw new Error("Malformed CSV: unterminated quoted field");
+  }
+
+  if (field.length > 0 || fields.length > 0) {
+    fields.push(field);
+    rows.push(fields);
+  }
+
+  return rows;
+}

web/src/components/tools/ExpandableContentWrapper.tsx

@@ -40,12 +40,7 @@ export default function ExpandableContentWrapper({
   };
 
   const Content = (
-    <div
-      className={cn(
-        !expanded ? "w-message-default" : "w-full",
-        "!rounded !rounded-lg overflow-y-hidden h-full"
-      )}
-    >
+    <div className="w-message-default max-w-full !rounded-lg overflow-y-hidden h-full">
       <CardHeader className="w-full bg-background-tint-02 top-0 p-3">
         <div className="flex justify-between items-center">
           <Text className="text-ellipsis line-clamp-1" text03 mainUiAction>
@@ -83,12 +78,10 @@ export default function ExpandableContentWrapper({
         )}
       >
         <CardContent className="p-0">
-          {!expanded && (
-            <ContentComponent
-              fileDescriptor={fileDescriptor}
-              expanded={expanded}
-            />
-          )}
+          <ContentComponent
+            fileDescriptor={fileDescriptor}
+            expanded={expanded}
+          />
         </CardContent>
       </Card>
     </div>

web/src/components/tools/parseCSV.test.ts

@@ -0,0 +1,84 @@
+import { parseCSV } from "./CSVContent";
+
+describe("parseCSV", () => {
+  it("parses simple comma-separated rows", () => {
+    expect(parseCSV("a,b,c\n1,2,3")).toEqual([
+      ["a", "b", "c"],
+      ["1", "2", "3"],
+    ]);
+  });
+
+  it("preserves commas inside quoted fields", () => {
+    expect(parseCSV('name,address\nAlice,"123 Main St, Apt 4"')).toEqual([
+      ["name", "address"],
+      ["Alice", "123 Main St, Apt 4"],
+    ]);
+  });
+
+  it("handles escaped double quotes inside quoted fields", () => {
+    expect(parseCSV('a,b\n"say ""hello""",world')).toEqual([
+      ["a", "b"],
+      ['say "hello"', "world"],
+    ]);
+  });
+
+  it("handles newlines inside quoted fields", () => {
+    expect(parseCSV('a,b\n"line1\nline2",val')).toEqual([
+      ["a", "b"],
+      ["line1\nline2", "val"],
+    ]);
+  });
+
+  it("handles CRLF line endings", () => {
+    expect(parseCSV("a,b\r\n1,2\r\n3,4")).toEqual([
+      ["a", "b"],
+      ["1", "2"],
+      ["3", "4"],
+    ]);
+  });
+
+  it("handles empty fields", () => {
+    expect(parseCSV("a,b,c\n1,,3")).toEqual([
+      ["a", "b", "c"],
+      ["1", "", "3"],
+    ]);
+  });
+
+  it("handles a single element", () => {
+    expect(parseCSV("a")).toEqual([["a"]]);
+  });
+
+  it("handles a single row with no newline", () => {
+    expect(parseCSV("a,b,c")).toEqual([["a", "b", "c"]]);
+  });
+
+  it("handles quoted fields that are entirely empty", () => {
+    expect(parseCSV('a,b\n"",val')).toEqual([
+      ["a", "b"],
+      ["", "val"],
+    ]);
+  });
+
+  it("handles multiple quoted fields with commas", () => {
+    expect(parseCSV('"foo, bar","baz, qux"\n"1, 2","3, 4"')).toEqual([
+      ["foo, bar", "baz, qux"],
+      ["1, 2", "3, 4"],
+    ]);
+  });
+
+  it("throws on unterminated quoted field", () => {
+    expect(() => parseCSV('a,b\n"foo,bar')).toThrow(
+      "Malformed CSV: unterminated quoted field"
+    );
+  });
+
+  it("throws on unterminated quote at end of input", () => {
+    expect(() => parseCSV('"unterminated')).toThrow(
+      "Malformed CSV: unterminated quoted field"
+    );
+  });
+
+  it("returns empty array for empty input", () => {
+    expect(parseCSV("")).toEqual([]);
+  });
+});

web/src/ee/providers/AppModeProvider.tsx

@@ -1,55 +0,0 @@
-"use client";
-
-import React, { useState, useCallback, useEffect } from "react";
-import { usePaidEnterpriseFeaturesEnabled } from "@/components/settings/usePaidEnterpriseFeaturesEnabled";
-import { AppModeContext, AppMode } from "@/providers/AppModeProvider";
-import { useUser } from "@/providers/UserProvider";
-import { useSettingsContext } from "@/providers/SettingsProvider";
-
-export interface AppModeProviderProps {
-  children: React.ReactNode;
-}
-
-/**
- * Provider for application mode (Search/Chat).
- *
- * This controls how user queries are handled:
- * - **search**: Forces search mode - quick document lookup
- * - **chat**: Forces chat mode - conversation with follow-up questions
- *
- * The initial mode is read from the user's persisted `default_app_mode` preference.
- * When search mode is unavailable (admin setting or no connectors), the mode is locked to "chat".
- */
-export function AppModeProvider({ children }: AppModeProviderProps) {
-  const isPaidEnterpriseFeaturesEnabled = usePaidEnterpriseFeaturesEnabled();
-  const { user } = useUser();
-  const { isSearchModeAvailable } = useSettingsContext();
-
-  const persistedMode = user?.preferences?.default_app_mode;
-  const [appMode, setAppModeState] = useState<AppMode>("chat");
-
-  useEffect(() => {
-    if (!isPaidEnterpriseFeaturesEnabled || !isSearchModeAvailable) {
-      setAppModeState("chat");
-      return;
-    }
-
-    if (persistedMode) {
-      setAppModeState(persistedMode.toLowerCase() as AppMode);
-    }
-  }, [isPaidEnterpriseFeaturesEnabled, isSearchModeAvailable, persistedMode]);
-
-  const setAppMode = useCallback(
-    (mode: AppMode) => {
-      if (!isPaidEnterpriseFeaturesEnabled || !isSearchModeAvailable) return;
-      setAppModeState(mode);
-    },
-    [isPaidEnterpriseFeaturesEnabled, isSearchModeAvailable]
-  );
-
-  return (
-    <AppModeContext.Provider value={{ appMode, setAppMode }}>
-      {children}
-    </AppModeContext.Provider>
-  );
-}

web/src/ee/providers/QueryControllerProvider.tsx

@@ -8,14 +8,15 @@ import {
   SearchFullResponse,
 } from "@/lib/search/interfaces";
 import { classifyQuery, searchDocuments } from "@/ee/lib/search/svc";
-import { useAppMode } from "@/providers/AppModeProvider";
 import useAppFocus from "@/hooks/useAppFocus";
 import { usePaidEnterpriseFeaturesEnabled } from "@/components/settings/usePaidEnterpriseFeaturesEnabled";
 import { useSettingsContext } from "@/providers/SettingsProvider";
+import { useUser } from "@/providers/UserProvider";
 import {
   QueryControllerContext,
-  QueryClassification,
   QueryControllerValue,
+  QueryState,
+  AppMode,
 } from "@/providers/QueryControllerProvider";
 
 interface QueryControllerProviderProps {
@@ -25,19 +26,53 @@ interface QueryControllerProviderProps {
 export function QueryControllerProvider({
   children,
 }: QueryControllerProviderProps) {
-  const { appMode, setAppMode } = useAppMode();
   const appFocus = useAppFocus();
   const isPaidEnterpriseFeaturesEnabled = usePaidEnterpriseFeaturesEnabled();
   const settings = useSettingsContext();
   const { isSearchModeAvailable: searchUiEnabled } = settings;
+  const { user } = useUser();
 
-  // Query state
+  // ── Merged query state (discriminated union) ──────────────────────────
+  const [state, setState] = useState<QueryState>({
+    phase: "idle",
+    appMode: "chat",
+  });
+
+  // Persistent app-mode preference — survives phase transitions and is
+  // used to restore the correct mode when resetting back to idle.
+  const appModeRef = useRef<AppMode>("chat");
+
+  // ── App mode sync from user preferences ───────────────────────────────
+  const persistedMode = user?.preferences?.default_app_mode;
+
+  useEffect(() => {
+    let mode: AppMode = "chat";
+    if (isPaidEnterpriseFeaturesEnabled && searchUiEnabled && persistedMode) {
+      const lower = persistedMode.toLowerCase();
+      mode = (["auto", "search", "chat"] as const).includes(lower as AppMode)
+        ? (lower as AppMode)
+        : "chat";
+    }
+    appModeRef.current = mode;
+    setState((prev) =>
+      prev.phase === "idle" ? { phase: "idle", appMode: mode } : prev
+    );
+  }, [isPaidEnterpriseFeaturesEnabled, searchUiEnabled, persistedMode]);
+
+  const setAppMode = useCallback(
+    (mode: AppMode) => {
+      if (!isPaidEnterpriseFeaturesEnabled || !searchUiEnabled) return;
+      setState((prev) => {
+        if (prev.phase !== "idle") return prev;
+        appModeRef.current = mode;
+        return { phase: "idle", appMode: mode };
+      });
+    },
+    [isPaidEnterpriseFeaturesEnabled, searchUiEnabled]
+  );
+
+  // ── Ancillary state ───────────────────────────────────────────────────
   const [query, setQuery] = useState<string | null>(null);
-  const [classification, setClassification] =
-    useState<QueryClassification>(null);
-  const [isClassifying, setIsClassifying] = useState(false);
-
-  // Search state
   const [searchResults, setSearchResults] = useState<SearchDocWithContent[]>(
     []
   );
@@ -51,7 +86,7 @@ export function QueryControllerProvider({
   const searchAbortRef = useRef<AbortController | null>(null);
 
   /**
-   * Perform document search
+   * Perform document search (pure data-fetching, no phase side effects)
    */
   const performSearch = useCallback(
     async (searchQuery: string, filters?: BaseFilters): Promise<void> => {
@@ -85,19 +120,15 @@ export function QueryControllerProvider({
         setLlmSelectedDocIds(response.llm_selected_doc_ids ?? null);
       } catch (err) {
         if (err instanceof Error && err.name === "AbortError") {
-          return;
+          throw err;
         }
 
         setError("Document search failed. Please try again.");
         setSearchResults([]);
         setLlmSelectedDocIds(null);
-      } finally {
-        // After we've performed a search, we automatically switch to "search" mode.
-        // This is a "sticky" implementation; on purpose.
-        setAppMode("search");
       }
     },
-    [setAppMode]
+    []
   );
 
   /**
@@ -112,8 +143,6 @@ export function QueryControllerProvider({
       const controller = new AbortController();
       classifyAbortRef.current = controller;
 
-      setIsClassifying(true);
-
       try {
         const response: SearchFlowClassificationResponse = await classifyQuery(
           classifyQueryText,
@@ -129,8 +158,6 @@ export function QueryControllerProvider({
 
         setError("Query classification failed. Falling back to chat.");
         return "chat";
-      } finally {
-        setIsClassifying(false);
       }
     },
     []
@@ -148,62 +175,51 @@ export function QueryControllerProvider({
       setQuery(submitQuery);
       setError(null);
 
-      // 1.
-      // We always route through chat if we're not Enterprise Enabled.
-      //
-      // 2.
-      // We always route through chat if the admin has disabled the Search UI.
-      //
-      // 3.
-      // We only go down the classification route if we're in the "New Session" tab.
-      // Everywhere else, we always use the chat-flow.
-      //
-      // 4.
-      // If we're in the "New Session" tab and the app-mode is "Chat", we continue with the chat-flow anyways.
+      const currentAppMode = appModeRef.current;
+
+      // Always route through chat if:
+      // 1. Not Enterprise Enabled
+      // 2. Admin has disabled the Search UI
+      // 3. Not in the "New Session" tab
+      // 4. In "New Session" tab but app-mode is "Chat"
       if (
         !isPaidEnterpriseFeaturesEnabled ||
         !searchUiEnabled ||
         !appFocus.isNewSession() ||
-        appMode === "chat"
+        currentAppMode === "chat"
       ) {
-        setClassification("chat");
+        setState({ phase: "chat" });
         setSearchResults([]);
         setLlmSelectedDocIds(null);
         onChat(submitQuery);
         return;
       }
 
-      if (appMode === "search") {
-        await performSearch(submitQuery, filters);
-        setClassification("search");
+      // Search mode: immediately show SearchUI with loading state
+      if (currentAppMode === "search") {
+        setState({ phase: "searching" });
+        try {
+          await performSearch(submitQuery, filters);
+        } catch (err) {
+          if (err instanceof Error && err.name === "AbortError") return;
+          throw err;
+        }
+        setState({ phase: "search-results" });
         return;
       }
 
-      // # Note (@raunakab)
-      //
-      // Interestingly enough, for search, we do:
-      // 1. setClassification("search")
-      // 2. performSearch
-      //
-      // But for chat, we do:
-      // 1. performChat
-      // 2. setClassification("chat")
-      //
-      // The ChatUI has a nice loading UI, so it's fine for us to prematurely set the
-      // classification-state before the chat has finished loading.
-      //
-      // However, the SearchUI does not. Prematurely setting the classification-state
-      // will lead to a slightly ugly UI.
-
       // Auto mode: classify first, then route
+      setState({ phase: "classifying" });
       try {
         const result = await performClassification(submitQuery);
 
         if (result === "search") {
+          setState({ phase: "searching" });
           await performSearch(submitQuery, filters);
-          setClassification("search");
+          setState({ phase: "search-results" });
+          appModeRef.current = "search";
         } else {
-          setClassification("chat");
+          setState({ phase: "chat" });
           setSearchResults([]);
           setLlmSelectedDocIds(null);
           onChat(submitQuery);
@@ -213,14 +229,13 @@ export function QueryControllerProvider({
           return;
         }
 
-        setClassification("chat");
+        setState({ phase: "chat" });
         setSearchResults([]);
         setLlmSelectedDocIds(null);
         onChat(submitQuery);
       }
     },
     [
-      appMode,
       appFocus,
       performClassification,
       performSearch,
@@ -235,7 +250,14 @@ export function QueryControllerProvider({
   const refineSearch = useCallback(
     async (filters: BaseFilters): Promise<void> => {
       if (!query) return;
-      await performSearch(query, filters);
+      setState({ phase: "searching" });
+      try {
+        await performSearch(query, filters);
+      } catch (err) {
+        if (err instanceof Error && err.name === "AbortError") return;
+        throw err;
+      }
+      setState({ phase: "search-results" });
     },
     [query, performSearch]
   );
@@ -254,7 +276,7 @@ export function QueryControllerProvider({
     }
 
     setQuery(null);
-    setClassification(null);
+    setState({ phase: "idle", appMode: appModeRef.current });
     setSearchResults([]);
     setLlmSelectedDocIds(null);
     setError(null);
@@ -262,8 +284,8 @@ export function QueryControllerProvider({
 
   const value: QueryControllerValue = useMemo(
     () => ({
-      classification,
-      isClassifying,
+      state,
+      setAppMode,
       searchResults,
       llmSelectedDocIds,
       error,
@@ -272,8 +294,8 @@ export function QueryControllerProvider({
       reset,
     }),
     [
-      classification,
-      isClassifying,
+      state,
+      setAppMode,
       searchResults,
       llmSelectedDocIds,
       error,
@@ -283,7 +305,7 @@ export function QueryControllerProvider({
     ]
   );
 
-  // Sync classification state with navigation context
+  // Sync state with navigation context
   useEffect(reset, [appFocus, reset]);
 
   return (

web/src/ee/sections/SearchCard.tsx

@@ -56,7 +56,7 @@ export default function SearchCard({
 
   return (
     <Interactive.Stateless onClick={handleClick} prominence="secondary">
-      <Interactive.Container heightVariant="fit">
+      <Interactive.Container heightVariant="fit" widthVariant="full">
         <Section alignItems="start" gap={0} padding={0.25}>
           {/* Title Row */}
           <Section

web/src/ee/sections/SearchUI.tsx

@@ -18,16 +18,17 @@ import { getTimeFilterDate, TimeFilter } from "@/lib/time";
 import useTags from "@/hooks/useTags";
 import { SourceIcon } from "@/components/SourceIcon";
 import Text from "@/refresh-components/texts/Text";
-import LineItem from "@/refresh-components/buttons/LineItem";
 import { Section } from "@/layouts/general-layouts";
 import Popover, { PopoverMenu } from "@/refresh-components/Popover";
 import { SvgCheck, SvgClock, SvgTag } from "@opal/icons";
 import FilterButton from "@/refresh-components/buttons/FilterButton";
 import InputTypeIn from "@/refresh-components/inputs/InputTypeIn";
 import useFilter from "@/hooks/useFilter";
+import { LineItemButton } from "@opal/components";
 import { useQueryController } from "@/providers/QueryControllerProvider";
 import { cn } from "@/lib/utils";
 import { toast } from "@/hooks/useToast";
+import SimpleLoader from "@/refresh-components/loaders/SimpleLoader";
 
 // ============================================================================
 // Types
@@ -51,22 +52,17 @@ const TIME_FILTER_OPTIONS: { value: TimeFilter; label: string }[] = [
   { value: "year", label: "Past year" },
 ];
 
-// ============================================================================
-// SearchResults Component (default export)
-// ============================================================================
-
-/**
- * Component for displaying search results with source filter sidebar.
- */
 export default function SearchUI({ onDocumentClick }: SearchResultsProps) {
   // Available tags from backend
   const { tags: availableTags } = useTags();
   const {
+    state,
     searchResults: results,
     llmSelectedDocIds,
     error,
     refineSearch: onRefineSearch,
   } = useQueryController();
+
   const prevErrorRef = useRef<string | null>(null);
 
   // Show a toast notification when a new error occurs
@@ -197,6 +193,15 @@ export default function SearchUI({ onDocumentClick }: SearchResultsProps) {
 
   const showEmpty = !error && results.length === 0;
 
+  // Show a centered spinner while search is in-flight (after all hooks)
+  if (state.phase === "searching") {
+    return (
+      <div className="flex-1 min-h-0 w-full flex items-center justify-center">
+        <SimpleLoader />
+      </div>
+    );
+  }
+
   return (
     <div className="flex-1 min-h-0 w-full flex flex-col gap-3">
       {/* ── Top row: Filters + Result count ── */}
@@ -226,18 +231,19 @@ export default function SearchUI({ onDocumentClick }: SearchResultsProps) {
               <Popover.Content align="start" width="md">
                 <PopoverMenu>
                   {TIME_FILTER_OPTIONS.map((opt) => (
-                    <LineItem
+                    <LineItemButton
                       key={opt.value}
                       onClick={() => {
                         setTimeFilter(opt.value);
                         setTimeFilterOpen(false);
                         onRefineSearch(buildFilters({ time: opt.value }));
                       }}
-                      selected={timeFilter === opt.value}
+                      state={timeFilter === opt.value ? "selected" : "empty"}
                       icon={timeFilter === opt.value ? SvgCheck : SvgClock}
-                    >
-                      {opt.label}
-                    </LineItem>
+                      title={opt.label}
+                      sizePreset="main-ui"
+                      variant="section"
+                    />
                   ))}
                 </PopoverMenu>
               </Popover.Content>
@@ -278,7 +284,7 @@ export default function SearchUI({ onDocumentClick }: SearchResultsProps) {
                         t.tag_value === tag.tag_value
                     );
                     return (
-                      <LineItem
+                      <LineItemButton
                         key={`${tag.tag_key}=${tag.tag_value}`}
                         onClick={() => {
                           const next = isSelected
@@ -291,11 +297,12 @@ export default function SearchUI({ onDocumentClick }: SearchResultsProps) {
                           setSelectedTags(next);
                           onRefineSearch(buildFilters({ tags: next }));
                         }}
-                        selected={isSelected}
+                        state={isSelected ? "selected" : "empty"}
                         icon={isSelected ? SvgCheck : SvgTag}
-                      >
-                        {tag.tag_value}
-                      </LineItem>
+                        title={tag.tag_value}
+                        sizePreset="main-ui"
+                        variant="section"
+                      />
                     );
                   })}
                 </PopoverMenu>
@@ -357,7 +364,7 @@ export default function SearchUI({ onDocumentClick }: SearchResultsProps) {
           <div className="flex-1 min-h-0 overflow-y-auto flex flex-col gap-4 px-1">
             <Section gap={0.25} height="fit">
               {sourcesWithMeta.map(({ source, meta, count }) => (
-                <LineItem
+                <LineItemButton
                   key={source}
                   icon={(props) => (
                     <SourceIcon
@@ -367,12 +374,15 @@ export default function SearchUI({ onDocumentClick }: SearchResultsProps) {
                     />
                   )}
                   onClick={() => handleSourceToggle(source)}
-                  selected={selectedSources.includes(source)}
-                  emphasized
+                  state={
+                    selectedSources.includes(source) ? "selected" : "empty"
+                  }
+                  title={meta.displayName}
+                  selectVariant="select-heavy"
+                  sizePreset="main-ui"
+                  variant="section"
                   rightChildren={<Text text03>{count}</Text>}
-                >
-                  {meta.displayName}
-                </LineItem>
+                />
               ))}
             </Section>
           </div>

web/src/hooks/useAppFocus.ts

@@ -5,6 +5,7 @@
 //
 // This is useful in determining what `SidebarTab` should be active, for example.
 
+import { useMemo } from "react";
 import { SEARCH_PARAM_NAMES } from "@/app/app/services/searchParams";
 import { usePathname, useSearchParams } from "next/navigation";
 
@@ -66,31 +67,25 @@ export default function useAppFocus(): AppFocus {
   const pathname = usePathname();
   const searchParams = useSearchParams();
 
-  // Check if we're viewing a shared chat
-  if (pathname.startsWith("/app/shared/")) {
-    return new AppFocus("shared-chat");
-  }
-
-  // Check if we're on the user settings page
-  if (pathname.startsWith("/app/settings")) {
-    return new AppFocus("user-settings");
-  }
-
-  // Check if we're on the agents page
-  if (pathname.startsWith("/app/agents")) {
-    return new AppFocus("more-agents");
-  }
-
-  // Check search params for chat, agent, or project
   const chatId = searchParams.get(SEARCH_PARAM_NAMES.CHAT_ID);
-  if (chatId) return new AppFocus({ type: "chat", id: chatId });
-
   const agentId = searchParams.get(SEARCH_PARAM_NAMES.PERSONA_ID);
-  if (agentId) return new AppFocus({ type: "agent", id: agentId });
-
   const projectId = searchParams.get(SEARCH_PARAM_NAMES.PROJECT_ID);
-  if (projectId) return new AppFocus({ type: "project", id: projectId });
 
-  // No search params means we're on a new session
-  return new AppFocus("new-session");
+  // Memoize on the values that determine which AppFocus is constructed.
+  // AppFocus is immutable, so same inputs → same instance.
+  return useMemo(() => {
+    if (pathname.startsWith("/app/shared/")) {
+      return new AppFocus("shared-chat");
+    }
+    if (pathname.startsWith("/app/settings")) {
+      return new AppFocus("user-settings");
+    }
+    if (pathname.startsWith("/app/agents")) {
+      return new AppFocus("more-agents");
+    }
+    if (chatId) return new AppFocus({ type: "chat", id: chatId });
+    if (agentId) return new AppFocus({ type: "agent", id: agentId });
+    if (projectId) return new AppFocus({ type: "project", id: projectId });
+    return new AppFocus("new-session");
+  }, [pathname, chatId, agentId, projectId]);
 }

web/src/hooks/useContainerCenter.ts

@@ -38,7 +38,7 @@ function measure(el: HTMLElement): { x: number; y: number } | null {
  */
 export default function useContainerCenter(): ContainerCenter {
   const pathname = usePathname();
-  const { isSmallScreen } = useScreenSize();
+  const { isMediumScreen } = useScreenSize();
   const [center, setCenter] = useState<{ x: number | null; y: number | null }>(
     () => {
       if (typeof document === "undefined") return NULL_CENTER;
@@ -68,9 +68,9 @@ export default function useContainerCenter(): ContainerCenter {
   }, [pathname]);
 
   return {
-    centerX: isSmallScreen ? null : center.x,
-    centerY: isSmallScreen ? null : center.y,
-    hasContainerCenter: isSmallScreen
+    centerX: isMediumScreen ? null : center.x,
+    centerY: isMediumScreen ? null : center.y,
+    hasContainerCenter: isMediumScreen
       ? false
       : center.x !== null && center.y !== null,
   };

web/src/hooks/useScreenSize.ts

@@ -2,6 +2,7 @@
 
 import {
   DESKTOP_SMALL_BREAKPOINT_PX,
+  DESKTOP_MEDIUM_BREAKPOINT_PX,
   MOBILE_SIDEBAR_BREAKPOINT_PX,
 } from "@/lib/constants";
 import { useState, useCallback } from "react";
@@ -12,6 +13,7 @@ export interface ScreenSize {
   width: number;
   isMobile: boolean;
   isSmallScreen: boolean;
+  isMediumScreen: boolean;
 }
 
 export default function useScreenSize(): ScreenSize {
@@ -34,11 +36,13 @@ export default function useScreenSize(): ScreenSize {
 
   const isMobile = sizes.width <= MOBILE_SIDEBAR_BREAKPOINT_PX;
   const isSmall = sizes.width <= DESKTOP_SMALL_BREAKPOINT_PX;
+  const isMedium = sizes.width <= DESKTOP_MEDIUM_BREAKPOINT_PX;
 
   return {
     height: sizes.height,
     width: sizes.width,
     isMobile: isMounted && isMobile,
     isSmallScreen: isMounted && isSmall,
+    isMediumScreen: isMounted && isMedium,
   };
 }

web/src/hooks/useUserCounts.ts

@@ -0,0 +1,40 @@
+"use client";
+
+import useSWR from "swr";
+import { errorHandlingFetcher } from "@/lib/fetcher";
+import type { InvitedUserSnapshot } from "@/lib/types";
+import { NEXT_PUBLIC_CLOUD_ENABLED } from "@/lib/constants";
+
+type PaginatedCountResponse = {
+  total_items: number;
+};
+
+type UserCounts = {
+  activeCount: number | null;
+  invitedCount: number | null;
+  pendingCount: number | null;
+};
+
+export default function useUserCounts(): UserCounts {
+  // Active user count — lightweight fetch (page_size=1 to minimize payload)
+  const { data: activeData } = useSWR<PaginatedCountResponse>(
+    "/api/manage/users/accepted?page_num=0&page_size=1",
+    errorHandlingFetcher
+  );
+
+  const { data: invitedUsers } = useSWR<InvitedUserSnapshot[]>(
+    "/api/manage/users/invited",
+    errorHandlingFetcher
+  );
+
+  const { data: pendingUsers } = useSWR<InvitedUserSnapshot[]>(
+    NEXT_PUBLIC_CLOUD_ENABLED ? "/api/tenants/users/pending" : null,
+    errorHandlingFetcher
+  );
+
+  return {
+    activeCount: activeData?.total_items ?? null,
+    invitedCount: invitedUsers?.length ?? null,
+    pendingCount: pendingUsers?.length ?? null,
+  };
+}

web/src/interfaces/llm.ts

@@ -7,6 +7,7 @@ export enum LLMProviderName {
   OPENROUTER = "openrouter",
   VERTEX_AI = "vertex_ai",
   BEDROCK = "bedrock",
+  LITELLM_PROXY = "litellm_proxy",
   CUSTOM = "custom",
 }
 
@@ -144,6 +145,18 @@ export interface OpenRouterFetchParams {
   provider_name?: string;
 }
 
+export interface LiteLLMProxyFetchParams {
+  api_base?: string;
+  api_key?: string;
+  provider_name?: string;
+  signal?: AbortSignal;
+}
+
+export interface LiteLLMProxyModelResponse {
+  provider_name: string;
+  model_name: string;
+}
+
 export interface VertexAIFetchParams {
   model_configurations?: ModelConfiguration[];
 }
@@ -153,4 +166,5 @@ export type FetchModelsParams =
   | OllamaFetchParams
   | LMStudioFetchParams
   | OpenRouterFetchParams
+  | LiteLLMProxyFetchParams
   | VertexAIFetchParams;

web/src/layouts/app-layouts.tsx

@@ -60,7 +60,7 @@ import {
 } from "@opal/icons";
 import MinimalMarkdown from "@/components/chat/MinimalMarkdown";
 import { useSettingsContext } from "@/providers/SettingsProvider";
-import { AppMode, useAppMode } from "@/providers/AppModeProvider";
+import type { AppMode } from "@/providers/QueryControllerProvider";
 import useAppFocus from "@/hooks/useAppFocus";
 import { useQueryController } from "@/providers/QueryControllerProvider";
 import { usePaidEnterpriseFeaturesEnabled } from "@/components/settings/usePaidEnterpriseFeaturesEnabled";
@@ -82,7 +82,7 @@ import useBrowserInfo from "@/hooks/useBrowserInfo";
  */
 function Header() {
   const isPaidEnterpriseFeaturesEnabled = usePaidEnterpriseFeaturesEnabled();
-  const { appMode, setAppMode } = useAppMode();
+  const { state, setAppMode } = useQueryController();
   const settings = useSettingsContext();
   const { isMobile } = useScreenSize();
   const { setFolded } = useAppSidebarContext();
@@ -108,7 +108,6 @@ function Header() {
     useChatSessions();
   const router = useRouter();
   const appFocus = useAppFocus();
-  const { classification } = useQueryController();
 
   const customHeaderContent =
     settings?.enterpriseSettings?.custom_header_content;
@@ -117,7 +116,8 @@ function Header() {
   // without this content still use.
   const pageWithHeaderContent = appFocus.isChat() || appFocus.isNewSession();
 
-  const effectiveMode: AppMode = appFocus.isNewSession() ? appMode : "chat";
+  const effectiveMode: AppMode =
+    appFocus.isNewSession() && state.phase === "idle" ? state.appMode : "chat";
 
   const availableProjects = useMemo(() => {
     if (!projects) return [];
@@ -323,7 +323,7 @@ function Header() {
           {isPaidEnterpriseFeaturesEnabled &&
             settings.isSearchModeAvailable &&
             appFocus.isNewSession() &&
-            !classification && (
+            state.phase === "idle" && (
               <Popover open={modePopoverOpen} onOpenChange={setModePopoverOpen}>
                 <Popover.Trigger asChild>
                   <OpenButton

web/src/layouts/settings-layouts.tsx

@@ -230,7 +230,7 @@ function SettingsHeader({
         </div>
       )}
 
-      <Spacer vertical rem={1} />
+      <Spacer vertical rem={2.5} />
 
       <div className="flex flex-col gap-6 px-4">
         <div className="flex w-full justify-between">

web/src/lib/admin-routes.ts

@@ -58,6 +58,7 @@ export const ADMIN_PATHS = {
   DOCUMENT_PROCESSING: "/admin/configuration/document-processing",
   KNOWLEDGE_GRAPH: "/admin/kg",
   USERS: "/admin/users",
+  USERS_V2: "/admin/users2",
   API_KEYS: "/admin/api-key",
   TOKEN_RATE_LIMITS: "/admin/token-rate-limits",
   USAGE: "/admin/performance/usage",
@@ -190,6 +191,11 @@ export const ADMIN_ROUTE_CONFIG: Record<string, AdminRouteConfig> = {
     title: "Manage Users",
     sidebarLabel: "Users",
   },
+  [ADMIN_PATHS.USERS_V2]: {
+    icon: SvgUser,
+    title: "Users & Requests",
+    sidebarLabel: "Users v2",
+  },
   [ADMIN_PATHS.API_KEYS]: {
     icon: SvgKey,
     title: "API Keys",

web/src/lib/constants.ts

@@ -123,6 +123,7 @@ export const MAX_FILES_TO_SHOW = 3;
 // SIZES
 export const MOBILE_SIDEBAR_BREAKPOINT_PX = 640;
 export const DESKTOP_SMALL_BREAKPOINT_PX = 912;
+export const DESKTOP_MEDIUM_BREAKPOINT_PX = 1232;
 export const DEFAULT_AGENT_AVATAR_SIZE_PX = 18;
 export const HORIZON_DISTANCE_PX = 800;
 export const LOGO_FOLDED_SIZE_PX = 24;

web/src/lib/llmConfig/providers.ts

@@ -22,6 +22,7 @@ const PROVIDER_ICONS: Record<string, IconFunctionComponent> = {
   [LLMProviderName.BEDROCK]: SvgAws,
   [LLMProviderName.AZURE]: SvgAzure,
   litellm: SvgLitellm,
+  [LLMProviderName.LITELLM_PROXY]: SvgLitellm,
   [LLMProviderName.OLLAMA_CHAT]: SvgOllama,
   [LLMProviderName.OPENROUTER]: SvgOpenrouter,
   [LLMProviderName.LM_STUDIO]: SvgLmStudio,
@@ -37,6 +38,7 @@ const PROVIDER_PRODUCT_NAMES: Record<string, string> = {
   [LLMProviderName.BEDROCK]: "Amazon Bedrock",
   [LLMProviderName.AZURE]: "Azure OpenAI",
   litellm: "LiteLLM",
+  [LLMProviderName.LITELLM_PROXY]: "LiteLLM Proxy",
   [LLMProviderName.OLLAMA_CHAT]: "Ollama",
   [LLMProviderName.OPENROUTER]: "OpenRouter",
   [LLMProviderName.LM_STUDIO]: "LM Studio",
@@ -52,6 +54,7 @@ const PROVIDER_DISPLAY_NAMES: Record<string, string> = {
   [LLMProviderName.BEDROCK]: "AWS",
   [LLMProviderName.AZURE]: "Microsoft Azure",
   litellm: "LiteLLM",
+  [LLMProviderName.LITELLM_PROXY]: "LiteLLM Proxy",
   [LLMProviderName.OLLAMA_CHAT]: "Ollama",
   [LLMProviderName.OPENROUTER]: "OpenRouter",
   [LLMProviderName.LM_STUDIO]: "LM Studio",

web/src/providers/AppModeProvider.tsx

@@ -1,23 +0,0 @@
-"use client";
-
-import { createContext, useContext } from "react";
-import { eeGated } from "@/ce";
-import { AppModeProvider as EEAppModeProvider } from "@/ee/providers/AppModeProvider";
-
-export type AppMode = "auto" | "search" | "chat";
-
-interface AppModeContextValue {
-  appMode: AppMode;
-  setAppMode: (mode: AppMode) => void;
-}
-
-export const AppModeContext = createContext<AppModeContextValue>({
-  appMode: "chat",
-  setAppMode: () => undefined,
-});
-
-export function useAppMode(): AppModeContextValue {
-  return useContext(AppModeContext);
-}
-
-export const AppModeProvider = eeGated(EEAppModeProvider);

web/src/providers/AppProvider.tsx

@@ -24,7 +24,7 @@
  * 4. **ProviderContextProvider** - LLM provider configuration
  * 5. **ModalProvider** - Global modal state management
  * 6. **AppSidebarProvider** - Sidebar open/closed state
- * 7. **AppModeProvider** - Search/Chat mode selection
+ * 7. **QueryControllerProvider** - Search/Chat mode + query lifecycle
  *
  * ## Usage
  *
@@ -40,7 +40,7 @@
  * - `useSettingsContext()` - from SettingsProvider
  * - `useUser()` - from UserProvider
  * - `useAppBackground()` - from AppBackgroundProvider
- * - `useAppMode()` - from AppModeProvider
+ * - `useQueryController()` - from QueryControllerProvider (includes appMode)
  * - etc.
  *
  * @TODO(@raunakab): The providers wrapped by this component are currently
@@ -65,7 +65,6 @@ import { User } from "@/lib/types";
 import { ModalProvider } from "@/components/context/ModalContext";
 import { AuthTypeMetadata } from "@/lib/userSS";
 import { AppSidebarProvider } from "@/providers/AppSidebarProvider";
-import { AppModeProvider } from "@/providers/AppModeProvider";
 import { AppBackgroundProvider } from "@/providers/AppBackgroundProvider";
 import { QueryControllerProvider } from "@/providers/QueryControllerProvider";
 import ToastProvider from "@/providers/ToastProvider";
@@ -96,11 +95,9 @@ export default function AppProvider({
           <ProviderContextProvider>
             <ModalProvider user={user}>
               <AppSidebarProvider folded={!!folded}>
-                <AppModeProvider>
-                  <QueryControllerProvider>
-                    <ToastProvider>{children}</ToastProvider>
-                  </QueryControllerProvider>
-                </AppModeProvider>
+                <QueryControllerProvider>
+                  <ToastProvider>{children}</ToastProvider>
+                </QueryControllerProvider>
               </AppSidebarProvider>
             </ModalProvider>
           </ProviderContextProvider>

web/src/providers/QueryControllerProvider.tsx

@@ -5,13 +5,20 @@ import { eeGated } from "@/ce";
 import { QueryControllerProvider as EEQueryControllerProvider } from "@/ee/providers/QueryControllerProvider";
 import { SearchDocWithContent, BaseFilters } from "@/lib/search/interfaces";
 
-export type QueryClassification = "search" | "chat" | null;
+export type AppMode = "auto" | "search" | "chat";
+
+export type QueryState =
+  | { phase: "idle"; appMode: AppMode }
+  | { phase: "classifying" }
+  | { phase: "searching" }
+  | { phase: "search-results" }
+  | { phase: "chat" };
 
 export interface QueryControllerValue {
-  /** Classification state: null (idle), "search", or "chat" */
-  classification: QueryClassification;
-  /** Whether or not the currently submitted query is being actively classified by the backend */
-  isClassifying: boolean;
+  /** Single state variable encoding both the query lifecycle phase and (when idle) the user's mode selection. */
+  state: QueryState;
+  /** Update the app mode. Only takes effect when idle. No-op in CE or when search is unavailable. */
+  setAppMode: (mode: AppMode) => void;
   /** Search results (empty if chat or not yet searched) */
   searchResults: SearchDocWithContent[];
   /** Document IDs selected by the LLM as most relevant */
@@ -31,8 +38,8 @@ export interface QueryControllerValue {
 }
 
 export const QueryControllerContext = createContext<QueryControllerValue>({
-  classification: null,
-  isClassifying: false,
+  state: { phase: "idle", appMode: "chat" },
+  setAppMode: () => undefined,
   searchResults: [],
   llmSelectedDocIds: null,
   error: null,

web/src/refresh-components/buttons/ButtonRenaming.stories.tsx

@@ -2,6 +2,8 @@ import React from "react";
 import type { Meta, StoryObj } from "@storybook/react";
 import ButtonRenaming from "./ButtonRenaming";
 
+const noop = () => {};
+
 const meta: Meta<typeof ButtonRenaming> = {
   title: "refresh-components/buttons/ButtonRenaming",
   component: ButtonRenaming,
@@ -28,35 +30,23 @@ type Story = StoryObj<typeof ButtonRenaming>;
 export const Default: Story = {
   args: {
     initialName: "My Chat Session",
-    onRename: async (name: string) => {
-      console.log("Renamed to:", name);
-    },
-    onClose: () => {
-      console.log("Closed");
-    },
+    onRename: async () => {},
+    onClose: noop,
   },
 };
 
 export const EmptyName: Story = {
   args: {
     initialName: null,
-    onRename: async (name: string) => {
-      console.log("Renamed to:", name);
-    },
-    onClose: () => {
-      console.log("Closed");
-    },
+    onRename: async () => {},
+    onClose: noop,
   },
 };
 
 export const LongName: Story = {
   args: {
     initialName: "This is a very long chat session name that should overflow",
-    onRename: async (name: string) => {
-      console.log("Renamed to:", name);
-    },
-    onClose: () => {
-      console.log("Closed");
-    },
+    onRename: async () => {},
+    onClose: noop,
   },
 };

web/src/refresh-components/popovers/LLMPopover.tsx

@@ -35,7 +35,7 @@ import { LLMOption, LLMOptionGroup } from "./interfaces";
 export interface LLMPopoverProps {
   llmManager: LlmManager;
   requiresImageInput?: boolean;
-  folded?: boolean;
+  foldable?: boolean;
   onSelect?: (value: string) => void;
   currentModelName?: string;
   disabled?: boolean;
@@ -142,7 +142,7 @@ export function groupLlmOptions(
 export default function LLMPopover({
   llmManager,
   requiresImageInput,
-  folded,
+  foldable,
   onSelect,
   currentModelName,
   disabled = false,
@@ -359,13 +359,14 @@ export default function LLMPopover({
           <Disabled disabled={disabled}>
             <OpenButton
               icon={
-                folded
+                foldable
                   ? SvgRefreshCw
                   : getProviderIcon(
                       llmManager.currentLlm.provider,
                       llmManager.currentLlm.modelName
                     )
               }
+              foldable={foldable}
             >
               {currentLlmDisplayName}
             </OpenButton>

web/src/refresh-pages/AppPage.tsx

@@ -72,7 +72,6 @@ import { eeGated } from "@/ce";
 import EESearchUI from "@/ee/sections/SearchUI";
 const SearchUI = eeGated(EESearchUI);
 import { motion, AnimatePresence } from "motion/react";
-import { useAppMode } from "@/providers/AppModeProvider";
 
 interface FadeProps {
   show: boolean;
@@ -129,7 +128,6 @@ export default function AppPage({ firstMessage }: ChatPageProps) {
       type: "success",
     },
   });
-  const { setAppMode } = useAppMode();
   const searchParams = useSearchParams();
 
   // Use SWR hooks for data fetching
@@ -485,7 +483,7 @@ export default function AppPage({ firstMessage }: ChatPageProps) {
       finishOnboarding,
     ]
   );
-  const { submit: submitQuery, classification } = useQueryController();
+  const { submit: submitQuery, state, setAppMode } = useQueryController();
 
   const defaultAppMode =
     (user?.preferences?.default_app_mode?.toLowerCase() as "chat" | "search") ??
@@ -493,12 +491,15 @@ export default function AppPage({ firstMessage }: ChatPageProps) {
 
   const isNewSession = appFocus.isNewSession();
 
+  const isSearch =
+    state.phase === "searching" || state.phase === "search-results";
+
   // 1. Reset the app-mode back to the user's default when navigating back to the "New Sessions" tab.
   // 2. If we're navigating away from the "New Session" tab after performing a search, we reset the app-input-bar.
   useEffect(() => {
     if (isNewSession) setAppMode(defaultAppMode);
-    if (!isNewSession && classification === "search") resetInputBar();
-  }, [isNewSession, defaultAppMode, classification, resetInputBar, setAppMode]);
+    if (!isNewSession && isSearch) resetInputBar();
+  }, [isNewSession, defaultAppMode, isSearch, resetInputBar, setAppMode]);
 
   const handleSearchDocumentClick = useCallback(
     (doc: MinimalOnyxDocument) => setPresentingDocument(doc),
@@ -607,7 +608,6 @@ export default function AppPage({ firstMessage }: ChatPageProps) {
 
   const hasStarterMessages = (liveAgent?.starter_messages?.length ?? 0) > 0;
 
-  const isSearch = classification === "search";
   const gridStyle = {
     gridTemplateColumns: "1fr",
     gridTemplateRows: isSearch
@@ -735,7 +735,7 @@ export default function AppPage({ firstMessage }: ChatPageProps) {
                   <Fade
                     show={
                       (appFocus.isNewSession() || appFocus.isAgent()) &&
-                      !classification
+                      (state.phase === "idle" || state.phase === "classifying")
                     }
                     className="w-full flex-1 flex flex-col items-center justify-end"
                   >
@@ -764,7 +764,8 @@ export default function AppPage({ firstMessage }: ChatPageProps) {
 
                     {/* OnboardingUI */}
                     {(appFocus.isNewSession() || appFocus.isAgent()) &&
-                      !classification &&
+                      (state.phase === "idle" ||
+                        state.phase === "classifying") &&
                       (showOnboarding || !user?.personalization?.name) &&
                       !onboardingDismissed && (
                         <OnboardingFlow
@@ -799,7 +800,7 @@ export default function AppPage({ firstMessage }: ChatPageProps) {
                       <div
                         className={cn(
                           "transition-all duration-150 ease-in-out overflow-hidden",
-                          classification === "search" ? "h-[14px]" : "h-0"
+                          isSearch ? "h-[14px]" : "h-0"
                         )}
                       />
                       <AppInputBar

web/src/refresh-pages/admin/LLMConfigurationPage.tsx

@@ -44,6 +44,7 @@ import { VertexAIModal } from "@/sections/modals/llmConfig/VertexAIModal";
 import { OpenRouterModal } from "@/sections/modals/llmConfig/OpenRouterModal";
 import { CustomModal } from "@/sections/modals/llmConfig/CustomModal";
 import { LMStudioForm } from "@/sections/modals/llmConfig/LMStudioForm";
+import { LiteLLMProxyModal } from "@/sections/modals/llmConfig/LiteLLMProxyModal";
 import { Section } from "@/layouts/general-layouts";
 
 const route = ADMIN_ROUTE_CONFIG[ADMIN_PATHS.LLM_MODELS]!;
@@ -116,6 +117,13 @@ const PROVIDER_MODAL_MAP: Record<
       onOpenChange={onOpenChange}
     />
   ),
+  litellm_proxy: (d, open, onOpenChange) => (
+    <LiteLLMProxyModal
+      shouldMarkAsDefault={d}
+      open={open}
+      onOpenChange={onOpenChange}
+    />
+  ),
 };
 
 // ============================================================================

web/src/refresh-pages/admin/UsersPage.tsx

@@ -0,0 +1,58 @@
+"use client";
+
+import { SvgUser, SvgUserPlus } from "@opal/icons";
+import { Button } from "@opal/components";
+import * as SettingsLayouts from "@/layouts/settings-layouts";
+import { useScimToken } from "@/hooks/useScimToken";
+import { usePaidEnterpriseFeaturesEnabled } from "@/components/settings/usePaidEnterpriseFeaturesEnabled";
+import useUserCounts from "@/hooks/useUserCounts";
+
+import UsersSummary from "./UsersPage/UsersSummary";
+
+// ---------------------------------------------------------------------------
+// Users page content
+// ---------------------------------------------------------------------------
+
+function UsersContent() {
+  const isEe = usePaidEnterpriseFeaturesEnabled();
+
+  const { data: scimToken } = useScimToken();
+  const showScim = isEe && !!scimToken;
+
+  const { activeCount, invitedCount, pendingCount } = useUserCounts();
+
+  return (
+    <>
+      <UsersSummary
+        activeUsers={activeCount}
+        pendingInvites={invitedCount}
+        requests={pendingCount}
+        showScim={showScim}
+      />
+
+      {/* Table and filters will be added in subsequent PRs */}
+    </>
+  );
+}
+
+// ---------------------------------------------------------------------------
+// Page
+// ---------------------------------------------------------------------------
+
+export default function UsersPage() {
+  return (
+    <SettingsLayouts.Root width="lg">
+      <SettingsLayouts.Header
+        title="Users & Requests"
+        icon={SvgUser}
+        rightChildren={
+          // TODO (ENG-3806): Wire up invite modal
+          <Button icon={SvgUserPlus}>Invite Users</Button>
+        }
+      />
+      <SettingsLayouts.Body>
+        <UsersContent />
+      </SettingsLayouts.Body>
+    </SettingsLayouts.Root>
+  );
+}

web/src/refresh-pages/admin/UsersPage/UsersSummary.tsx

@@ -0,0 +1,117 @@
+import { SvgArrowUpRight, SvgUserSync } from "@opal/icons";
+import { ContentAction } from "@opal/layouts";
+import { Button } from "@opal/components";
+import { Section } from "@/layouts/general-layouts";
+import Card from "@/refresh-components/cards/Card";
+import Text from "@/refresh-components/texts/Text";
+import Link from "next/link";
+import { ADMIN_PATHS } from "@/lib/admin-routes";
+
+// ---------------------------------------------------------------------------
+// Stats cell — number + label
+// ---------------------------------------------------------------------------
+
+type StatCellProps = {
+  value: number | null;
+  label: string;
+};
+
+function StatCell({ value, label }: StatCellProps) {
+  const display = value === null ? "\u2014" : value.toLocaleString();
+
+  return (
+    <div className="flex flex-col items-start gap-0.5 w-full p-2">
+      <Text as="span" mainUiAction text04>
+        {display}
+      </Text>
+      <Text as="span" secondaryBody text03>
+        {label}
+      </Text>
+    </div>
+  );
+}
+
+// ---------------------------------------------------------------------------
+// SCIM card
+// ---------------------------------------------------------------------------
+
+function ScimCard() {
+  return (
+    <Card gap={0.5} padding={0.75}>
+      <ContentAction
+        icon={SvgUserSync}
+        title="SCIM Sync"
+        description="Users are synced from your identity provider."
+        sizePreset="main-ui"
+        variant="section"
+        paddingVariant="fit"
+        rightChildren={
+          <Link href={ADMIN_PATHS.SCIM}>
+            <Button prominence="tertiary" rightIcon={SvgArrowUpRight} size="sm">
+              Manage
+            </Button>
+          </Link>
+        }
+      />
+    </Card>
+  );
+}
+
+// ---------------------------------------------------------------------------
+// Stats bar — layout varies by SCIM status
+// ---------------------------------------------------------------------------
+
+type UsersSummaryProps = {
+  activeUsers: number | null;
+  pendingInvites: number | null;
+  requests: number | null;
+  showScim: boolean;
+};
+
+export default function UsersSummary({
+  activeUsers,
+  pendingInvites,
+  requests,
+  showScim,
+}: UsersSummaryProps) {
+  const showRequests = requests !== null && requests > 0;
+
+  if (showScim) {
+    return (
+      <Section
+        flexDirection="row"
+        justifyContent="start"
+        alignItems="stretch"
+        gap={0.5}
+      >
+        <Card padding={0.5}>
+          <Section flexDirection="row" gap={0}>
+            <StatCell value={activeUsers} label="active users" />
+            <StatCell value={pendingInvites} label="pending invites" />
+            {showRequests && (
+              <StatCell value={requests} label="requests to join" />
+            )}
+          </Section>
+        </Card>
+        <ScimCard />
+      </Section>
+    );
+  }
+
+  // No SCIM — each stat gets its own card
+  return (
+    <Section flexDirection="row" gap={0.5}>
+      <Card padding={0.5}>
+        <StatCell value={activeUsers} label="active users" />
+      </Card>
+      <Card padding={0.5}>
+        <StatCell value={pendingInvites} label="pending invites" />
+      </Card>
+      {showRequests && (
+        <Card padding={0.5}>
+          <StatCell value={requests} label="requests to join" />
+        </Card>
+      )}
+    </Section>
+  );
+}

web/src/sections/input/AppInputBar.tsx

@@ -19,7 +19,6 @@ import useCCPairs from "@/hooks/useCCPairs";
 import { MinimalOnyxDocument } from "@/lib/search/interfaces";
 import { ChatState } from "@/app/app/interfaces";
 import { useForcedTools } from "@/lib/hooks/useForcedTools";
-import { useAppMode } from "@/providers/AppModeProvider";
 import useAppFocus from "@/hooks/useAppFocus";
 import { cn, isImageFile } from "@/lib/utils";
 import { Disabled } from "@opal/core";
@@ -120,7 +119,10 @@ const AppInputBar = React.memo(
     const filesContentRef = useRef<HTMLDivElement>(null);
     const containerRef = useRef<HTMLDivElement>(null);
     const { user } = useUser();
-    const { isClassifying, classification } = useQueryController();
+    const { state } = useQueryController();
+    const isClassifying = state.phase === "classifying";
+    const isSearchActive =
+      state.phase === "searching" || state.phase === "search-results";
 
     // Expose reset and focus methods to parent via ref
     React.useImperativeHandle(ref, () => ({
@@ -140,12 +142,10 @@ const AppInputBar = React.memo(
         setMessage(initialMessage);
       }
     }, [initialMessage]);
-
-    const { appMode } = useAppMode();
     const appFocus = useAppFocus();
+    const appMode = state.phase === "idle" ? state.appMode : undefined;
     const isSearchMode =
-      (appFocus.isNewSession() && appMode === "search") ||
-      classification === "search";
+      (appFocus.isNewSession() && appMode === "search") || isSearchActive;
 
     const { forcedToolIds, setForcedToolIds } = useForcedTools();
     const { currentMessageFiles, setCurrentMessageFiles, currentProjectId } =

web/src/sections/modals/llmConfig/LiteLLMProxyModal.tsx

@@ -0,0 +1,180 @@
+import Separator from "@/refresh-components/Separator";
+import { Form, Formik } from "formik";
+import { TextFormField } from "@/components/Field";
+import {
+  LLMProviderFormProps,
+  LLMProviderName,
+  ModelConfiguration,
+} from "@/interfaces/llm";
+import { fetchLiteLLMProxyModels } from "@/app/admin/configuration/llm/utils";
+import * as Yup from "yup";
+import {
+  ProviderFormEntrypointWrapper,
+  ProviderFormContext,
+} from "./components/FormWrapper";
+import { DisplayNameField } from "./components/DisplayNameField";
+import PasswordInputTypeInField from "@/refresh-components/form/PasswordInputTypeInField";
+import { FormActionButtons } from "./components/FormActionButtons";
+import {
+  buildDefaultInitialValues,
+  buildDefaultValidationSchema,
+  buildAvailableModelConfigurations,
+  submitLLMProvider,
+  BaseLLMFormValues,
+  LLM_FORM_CLASS_NAME,
+} from "./formUtils";
+import { AdvancedOptions } from "./components/AdvancedOptions";
+import { DisplayModels } from "./components/DisplayModels";
+import { FetchModelsButton } from "./components/FetchModelsButton";
+import { useState } from "react";
+
+const LITELLM_PROXY_DISPLAY_NAME = "LiteLLM Proxy";
+const DEFAULT_API_BASE = "http://localhost:4000";
+
+interface LiteLLMProxyModalValues extends BaseLLMFormValues {
+  api_key: string;
+  api_base: string;
+}
+
+export function LiteLLMProxyModal({
+  existingLlmProvider,
+  shouldMarkAsDefault,
+  open,
+  onOpenChange,
+}: LLMProviderFormProps) {
+  const [fetchedModels, setFetchedModels] = useState<ModelConfiguration[]>([]);
+
+  return (
+    <ProviderFormEntrypointWrapper
+      providerName={LITELLM_PROXY_DISPLAY_NAME}
+      providerEndpoint={LLMProviderName.LITELLM_PROXY}
+      existingLlmProvider={existingLlmProvider}
+      open={open}
+      onOpenChange={onOpenChange}
+    >
+      {({
+        onClose,
+        mutate,
+        isTesting,
+        setIsTesting,
+        testError,
+        setTestError,
+        wellKnownLLMProvider,
+      }: ProviderFormContext) => {
+        const modelConfigurations = buildAvailableModelConfigurations(
+          existingLlmProvider,
+          wellKnownLLMProvider
+        );
+        const initialValues: LiteLLMProxyModalValues = {
+          ...buildDefaultInitialValues(
+            existingLlmProvider,
+            modelConfigurations
+          ),
+          api_key: existingLlmProvider?.api_key ?? "",
+          api_base: existingLlmProvider?.api_base ?? DEFAULT_API_BASE,
+        };
+
+        const validationSchema = buildDefaultValidationSchema().shape({
+          api_key: Yup.string().required("API Key is required"),
+          api_base: Yup.string().required("API Base URL is required"),
+        });
+
+        return (
+          <Formik
+            initialValues={initialValues}
+            validationSchema={validationSchema}
+            validateOnMount={true}
+            onSubmit={async (values, { setSubmitting }) => {
+              await submitLLMProvider({
+                providerName: LLMProviderName.LITELLM_PROXY,
+                values,
+                initialValues,
+                modelConfigurations:
+                  fetchedModels.length > 0
+                    ? fetchedModels
+                    : modelConfigurations,
+                existingLlmProvider,
+                shouldMarkAsDefault,
+                setIsTesting,
+                setTestError,
+                mutate,
+                onClose,
+                setSubmitting,
+              });
+            }}
+          >
+            {(formikProps) => {
+              const currentModels =
+                fetchedModels.length > 0
+                  ? fetchedModels
+                  : existingLlmProvider?.model_configurations ||
+                    modelConfigurations;
+
+              const isFetchDisabled =
+                !formikProps.values.api_base || !formikProps.values.api_key;
+
+              return (
+                <Form className={LLM_FORM_CLASS_NAME}>
+                  <DisplayNameField disabled={!!existingLlmProvider} />
+
+                  <TextFormField
+                    name="api_base"
+                    label="API Base URL"
+                    subtext="The base URL for your LiteLLM Proxy server (e.g., http://localhost:4000)"
+                    placeholder={DEFAULT_API_BASE}
+                  />
+
+                  <PasswordInputTypeInField name="api_key" label="API Key" />
+
+                  <FetchModelsButton
+                    onFetch={() =>
+                      fetchLiteLLMProxyModels({
+                        api_base: formikProps.values.api_base,
+                        api_key: formikProps.values.api_key,
+                        provider_name: existingLlmProvider?.name,
+                      })
+                    }
+                    isDisabled={isFetchDisabled}
+                    disabledHint={
+                      !formikProps.values.api_base
+                        ? "Enter the API base URL first."
+                        : !formikProps.values.api_key
+                          ? "Enter your API key first."
+                          : undefined
+                    }
+                    onModelsFetched={setFetchedModels}
+                    autoFetchOnInitialLoad={!!existingLlmProvider}
+                  />
+
+                  <Separator />
+
+                  <DisplayModels
+                    modelConfigurations={currentModels}
+                    formikProps={formikProps}
+                    noModelConfigurationsMessage={
+                      "Fetch available models first, then you'll be able to select " +
+                      "the models you want to make available in Onyx."
+                    }
+                    recommendedDefaultModel={null}
+                    shouldShowAutoUpdateToggle={false}
+                  />
+
+                  <AdvancedOptions formikProps={formikProps} />
+
+                  <FormActionButtons
+                    isTesting={isTesting}
+                    testError={testError}
+                    existingLlmProvider={existingLlmProvider}
+                    mutate={mutate}
+                    onClose={onClose}
+                    isFormValid={formikProps.isValid}
+                  />
+                </Form>
+              );
+            }}
+          </Formik>
+        );
+      }}
+    </ProviderFormEntrypointWrapper>
+  );
+}

web/src/sections/modals/llmConfig/getModal.tsx

@@ -8,6 +8,7 @@ import { OpenRouterModal } from "./OpenRouterModal";
 import { CustomModal } from "./CustomModal";
 import { BedrockModal } from "./BedrockModal";
 import { LMStudioForm } from "./LMStudioForm";
+import { LiteLLMProxyModal } from "./LiteLLMProxyModal";
 
 export function detectIfRealOpenAIProvider(provider: LLMProviderView) {
   return (
@@ -47,6 +48,8 @@ export function getModalForExistingProvider(
       return <OpenRouterModal {...props} />;
     case LLMProviderName.LM_STUDIO:
       return <LMStudioForm {...props} />;
+    case LLMProviderName.LITELLM_PROXY:
+      return <LiteLLMProxyModal {...props} />;
     default:
       return <CustomModal {...props} />;
   }

web/src/sections/onboarding/forms/LiteLLMProxyOnboardingForm.tsx

@@ -0,0 +1,264 @@
+"use client";
+
+import { useMemo } from "react";
+import * as Yup from "yup";
+import { FormikField } from "@/refresh-components/form/FormikField";
+import { FormField } from "@/refresh-components/form/FormField";
+import PasswordInputTypeIn from "@/refresh-components/inputs/PasswordInputTypeIn";
+import InputComboBox from "@/refresh-components/inputs/InputComboBox";
+import InputTypeIn from "@/refresh-components/inputs/InputTypeIn";
+import Separator from "@/refresh-components/Separator";
+import { Button } from "@opal/components";
+import { Disabled } from "@opal/core";
+import { cn, noProp } from "@/lib/utils";
+import { SvgRefreshCw } from "@opal/icons";
+import {
+  WellKnownLLMProviderDescriptor,
+  ModelConfiguration,
+} from "@/interfaces/llm";
+import {
+  OnboardingFormWrapper,
+  OnboardingFormChildProps,
+} from "./OnboardingFormWrapper";
+import { OnboardingActions, OnboardingState } from "@/interfaces/onboarding";
+import { buildInitialValues } from "../components/llmConnectionHelpers";
+import ConnectionProviderIcon from "@/refresh-components/ConnectionProviderIcon";
+import { ProviderIcon } from "@/app/admin/configuration/llm/ProviderIcon";
+
+const FIELD_API_KEY = "api_key";
+const FIELD_API_BASE = "api_base";
+const FIELD_DEFAULT_MODEL_NAME = "default_model_name";
+
+interface LiteLLMProxyOnboardingFormProps {
+  llmDescriptor: WellKnownLLMProviderDescriptor;
+  onboardingState: OnboardingState;
+  onboardingActions: OnboardingActions;
+  open: boolean;
+  onOpenChange: (open: boolean) => void;
+}
+
+interface LiteLLMProxyFormValues {
+  name: string;
+  provider: string;
+  api_key: string;
+  api_base: string;
+  api_key_changed: boolean;
+  default_model_name: string;
+  model_configurations: ModelConfiguration[];
+  groups: number[];
+  is_public: boolean;
+}
+
+function LiteLLMProxyFormFields(
+  props: OnboardingFormChildProps<LiteLLMProxyFormValues>
+) {
+  const {
+    formikProps,
+    apiStatus,
+    showApiMessage,
+    errorMessage,
+    modelOptions,
+    isFetchingModels,
+    handleFetchModels,
+    modelsApiStatus,
+    modelsErrorMessage,
+    showModelsApiErrorMessage,
+    disabled,
+  } = props;
+
+  const handleApiKeyInteraction = () => {
+    if (formikProps.values.api_key && formikProps.values.api_base) {
+      handleFetchModels();
+    }
+  };
+
+  return (
+    <>
+      <FormikField<string>
+        name={FIELD_API_BASE}
+        render={(field, _helper, meta, state) => (
+          <FormField name={FIELD_API_BASE} state={state} className="w-full">
+            <FormField.Label>API Base URL</FormField.Label>
+            <FormField.Control>
+              <InputTypeIn
+                {...field}
+                placeholder="http://localhost:4000"
+                variant={disabled ? "disabled" : undefined}
+                onBlur={(e: React.FocusEvent<HTMLInputElement>) => {
+                  field.onBlur(e);
+                  handleApiKeyInteraction();
+                }}
+              />
+            </FormField.Control>
+            <FormField.Message
+              messages={{
+                idle: "The base URL for your LiteLLM Proxy server.",
+                error: meta.error,
+              }}
+            />
+          </FormField>
+        )}
+      />
+
+      <FormikField<string>
+        name={FIELD_API_KEY}
+        render={(field, _helper, meta, state) => (
+          <FormField name={FIELD_API_KEY} state={state} className="w-full">
+            <FormField.Label>API Key</FormField.Label>
+            <FormField.Control>
+              <PasswordInputTypeIn
+                {...field}
+                placeholder=""
+                error={apiStatus === "error"}
+                showClearButton={false}
+                disabled={disabled}
+                onBlur={(e) => {
+                  field.onBlur(e);
+                  handleApiKeyInteraction();
+                }}
+              />
+            </FormField.Control>
+            {!showApiMessage && (
+              <FormField.Message
+                messages={{
+                  idle: "Enter the API key for your LiteLLM Proxy.",
+                  error: meta.error,
+                }}
+              />
+            )}
+            {showApiMessage && (
+              <FormField.APIMessage
+                state={apiStatus}
+                messages={{
+                  loading: "Checking API key with LiteLLM Proxy...",
+                  success: "API key valid. Your available models updated.",
+                  error: errorMessage || "Invalid API key",
+                }}
+              />
+            )}
+          </FormField>
+        )}
+      />
+
+      <Separator className="py-0" />
+
+      <FormikField<string>
+        name={FIELD_DEFAULT_MODEL_NAME}
+        render={(field, helper, meta, state) => (
+          <FormField
+            name={FIELD_DEFAULT_MODEL_NAME}
+            state={state}
+            className="w-full"
+          >
+            <FormField.Label>Default Model</FormField.Label>
+            <FormField.Control>
+              <InputComboBox
+                value={field.value}
+                onValueChange={(value) => helper.setValue(value)}
+                onChange={(e) => helper.setValue(e.target.value)}
+                options={modelOptions}
+                disabled={
+                  disabled || isFetchingModels || modelOptions.length === 0
+                }
+                rightSection={
+                  <Disabled disabled={disabled || isFetchingModels}>
+                    <Button
+                      prominence="tertiary"
+                      size="sm"
+                      icon={({ className }) => (
+                        <SvgRefreshCw
+                          className={cn(
+                            className,
+                            isFetchingModels && "animate-spin"
+                          )}
+                        />
+                      )}
+                      onClick={noProp((e) => {
+                        e.preventDefault();
+                        handleFetchModels();
+                      })}
+                      tooltip="Fetch available models"
+                    />
+                  </Disabled>
+                }
+                onBlur={field.onBlur}
+                placeholder="Select a model"
+              />
+            </FormField.Control>
+            {!showModelsApiErrorMessage && (
+              <FormField.Message
+                messages={{
+                  idle: "This model will be used by Onyx by default.",
+                  error: meta.error,
+                }}
+              />
+            )}
+            {showModelsApiErrorMessage && (
+              <FormField.APIMessage
+                state={modelsApiStatus}
+                messages={{
+                  loading: "Fetching models...",
+                  success: "Models fetched successfully.",
+                  error: modelsErrorMessage || "Failed to fetch models",
+                }}
+              />
+            )}
+          </FormField>
+        )}
+      />
+    </>
+  );
+}
+
+export function LiteLLMProxyOnboardingForm({
+  llmDescriptor,
+  onboardingState,
+  onboardingActions,
+  open,
+  onOpenChange,
+}: LiteLLMProxyOnboardingFormProps) {
+  const initialValues = useMemo(
+    (): LiteLLMProxyFormValues => ({
+      ...buildInitialValues(),
+      name: llmDescriptor.name,
+      provider: llmDescriptor.name,
+      api_base: "http://localhost:4000",
+    }),
+    [llmDescriptor.name]
+  );
+
+  const validationSchema = useMemo(
+    () =>
+      Yup.object().shape({
+        [FIELD_API_KEY]: Yup.string().required("API Key is required"),
+        [FIELD_API_BASE]: Yup.string().required("API Base URL is required"),
+        [FIELD_DEFAULT_MODEL_NAME]: Yup.string().required(
+          "Model name is required"
+        ),
+      }),
+    []
+  );
+
+  const icon = () => (
+    <ConnectionProviderIcon
+      icon={<ProviderIcon provider={llmDescriptor.name} size={24} />}
+    />
+  );
+
+  return (
+    <OnboardingFormWrapper<LiteLLMProxyFormValues>
+      icon={icon}
+      title="Set up LiteLLM Proxy"
+      description="Connect to your LiteLLM Proxy server and set up your models."
+      llmDescriptor={llmDescriptor}
+      onboardingState={onboardingState}
+      onboardingActions={onboardingActions}
+      open={open}
+      onOpenChange={onOpenChange}
+      initialValues={initialValues}
+      validationSchema={validationSchema}
+    >
+      {(props) => <LiteLLMProxyFormFields {...props} />}
+    </OnboardingFormWrapper>
+  );
+}

web/src/sections/onboarding/forms/getOnboardingForm.tsx

@@ -12,6 +12,7 @@ import { AzureOnboardingForm } from "./AzureOnboardingForm";
 import { BedrockOnboardingForm } from "./BedrockOnboardingForm";
 import { VertexAIOnboardingForm } from "./VertexAIOnboardingForm";
 import { OpenRouterOnboardingForm } from "./OpenRouterOnboardingForm";
+import { LiteLLMProxyOnboardingForm } from "./LiteLLMProxyOnboardingForm";
 import { CustomOnboardingForm } from "./CustomOnboardingForm";
 
 // Display info for LLM provider cards - title is the product name, displayName is the company/platform
@@ -42,6 +43,10 @@ const PROVIDER_DISPLAY_INFO: Record<
     title: "LM Studio",
     displayName: "LM Studio",
   },
+  [LLMProviderName.LITELLM_PROXY]: {
+    title: "LiteLLM Proxy",
+    displayName: "LiteLLM Proxy",
+  },
 };
 
 export function getProviderDisplayInfo(providerName: string): {
@@ -175,6 +180,17 @@ export function getOnboardingForm({
         />
       );
 
+    case LLMProviderName.LITELLM_PROXY:
+      return (
+        <LiteLLMProxyOnboardingForm
+          llmDescriptor={llmDescriptor}
+          onboardingState={onboardingState}
+          onboardingActions={onboardingActions}
+          open={open}
+          onOpenChange={onOpenChange}
+        />
+      );
+
     default:
       // Fallback to custom form for unknown providers
       return (

web/src/sections/sidebar/AdminSidebar.tsx

@@ -127,14 +127,14 @@ const collections = (
               sidebarItem(ADMIN_PATHS.TOKEN_RATE_LIMITS),
             ],
           },
-          ...(enableEnterprise
-            ? [
-                {
-                  name: "Permissions",
-                  items: [sidebarItem(ADMIN_PATHS.SCIM)],
-                },
-              ]
-            : []),
+          {
+            name: "Permissions",
+            items: [
+              // TODO (nikolas): Uncommented in switchover PR once Users v2 is ready
+              // sidebarItem(ADMIN_PATHS.USERS_V2),
+              ...(enableEnterprise ? [sidebarItem(ADMIN_PATHS.SCIM)] : []),
+            ],
+          },
           ...(enableEnterprise
             ? [
                 {

web/src/sections/sidebar/AppSidebar.tsx

@@ -77,7 +77,6 @@ import { Notification, NotificationType } from "@/interfaces/settings";
 import { errorHandlingFetcher } from "@/lib/fetcher";
 import UserAvatarPopover from "@/sections/sidebar/UserAvatarPopover";
 import ChatSearchCommandMenu from "@/sections/sidebar/ChatSearchCommandMenu";
-import { useAppMode } from "@/providers/AppModeProvider";
 import { useQueryController } from "@/providers/QueryControllerProvider";
 
 // Visible-agents = pinned-agents + current-agent (if current-agent not in pinned-agents)
@@ -206,8 +205,7 @@ const MemoizedAppSidebarInner = memo(
     const combinedSettings = useSettingsContext();
     const posthog = usePostHog();
     const { newTenantInfo, invitationInfo } = useModalContext();
-    const { setAppMode } = useAppMode();
-    const { reset } = useQueryController();
+    const { setAppMode, reset } = useQueryController();
 
     // Use SWR hooks for data fetching
     const {