add basic user invite flow

Co-authored-by: Richard Kuo <rkuo@rkuo.com>

.github/workflows/docker-build-push-model-server-container-on-tag.yml

@@ -12,29 +12,40 @@ env:
   BUILDKIT_PROGRESS: plain
 
 jobs:
-  # 1) Preliminary job to check if the changed files are relevant
+
+#   Bypassing this for now as the idea of not building is glitching
+#   releases and builds that depends on everything being tagged in docker
+#   1) Preliminary job to check if the changed files are relevant
+#   check_model_server_changes:
+#     runs-on: ubuntu-latest
+#     outputs:
+#       changed: ${{ steps.check.outputs.changed }}
+#     steps:
+#       - name: Checkout code
+#         uses: actions/checkout@v4
+# 
+#       - name: Check if relevant files changed
+#         id: check
+#         run: |
+#           # Default to "false"
+#           echo "changed=false" >> $GITHUB_OUTPUT
+# 
+#           # Compare the previous commit (github.event.before) to the current one (github.sha)
+#           # If any file in backend/model_server/** or backend/Dockerfile.model_server is changed,
+#           # set changed=true
+#           if git diff --name-only ${{ github.event.before }} ${{ github.sha }} \
+#              | grep -E '^backend/model_server/|^backend/Dockerfile.model_server'; then
+#             echo "changed=true" >> $GITHUB_OUTPUT
+#           fi
+
   check_model_server_changes:
     runs-on: ubuntu-latest
     outputs:
-      changed: ${{ steps.check.outputs.changed }}
+      changed: "true"
     steps:
-      - name: Checkout code
-        uses: actions/checkout@v4
-
-      - name: Check if relevant files changed
-        id: check
-        run: |
-          # Default to "false"
-          echo "changed=false" >> $GITHUB_OUTPUT
-
-          # Compare the previous commit (github.event.before) to the current one (github.sha)
-          # If any file in backend/model_server/** or backend/Dockerfile.model_server is changed,
-          # set changed=true
-          if git diff --name-only ${{ github.event.before }} ${{ github.sha }} \
-             | grep -E '^backend/model_server/|^backend/Dockerfile.model_server'; then
-            echo "changed=true" >> $GITHUB_OUTPUT
-          fi
-
+      - name: Bypass check and set output
+        run: echo "changed=true" >> $GITHUB_OUTPUT
+        
   build-amd64:
     needs: [check_model_server_changes]
     if: needs.check_model_server_changes.outputs.changed == 'true'

.github/workflows/pr-python-connector-tests.yml

@@ -1,6 +1,7 @@
 name: Connector Tests
 
 on:
+  merge_group:
   pull_request:
     branches: [main]
   schedule:
@@ -47,11 +48,13 @@ env:
   # Gitbook
   GITBOOK_SPACE_ID: ${{ secrets.GITBOOK_SPACE_ID }}
   GITBOOK_API_KEY: ${{ secrets.GITBOOK_API_KEY }}
+  # Notion
+  NOTION_INTEGRATION_TOKEN: ${{ secrets.NOTION_INTEGRATION_TOKEN }}
 
 jobs:
   connectors-check:
     # See https://runs-on.com/runners/linux/
-    runs-on: [runs-on,runner=8cpu-linux-x64,"run-id=${{ github.run_id }}"]
+    runs-on: [runs-on, runner=8cpu-linux-x64, "run-id=${{ github.run_id }}"]
 
     env:
       PYTHONPATH: ./backend
@@ -76,7 +79,7 @@ jobs:
           pip install --retries 5 --timeout 30 -r backend/requirements/dev.txt
           playwright install chromium
           playwright install-deps chromium
-          
+
       - name: Run Tests
         shell: script -q -e -c "bash --noprofile --norc -eo pipefail {0}"
         run: py.test -o junit_family=xunit2 -xv --ff backend/tests/daily/connectors

README.md

@@ -114,3 +114,4 @@ To try the Onyx Enterprise Edition:
 
 ## 💡 Contributing
 Looking to contribute? Please check out the [Contribution Guide](CONTRIBUTING.md) for more details.
+

backend/alembic/versions/3934b1bc7b62_update_github_connector_repo_name_to_.py

@@ -0,0 +1,125 @@
+"""Update GitHub connector repo_name to repositories
+
+Revision ID: 3934b1bc7b62
+Revises: b7c2b63c4a03
+Create Date: 2025-03-05 10:50:30.516962
+
+"""
+from alembic import op
+import sqlalchemy as sa
+import json
+import logging
+
+# revision identifiers, used by Alembic.
+revision = "3934b1bc7b62"
+down_revision = "b7c2b63c4a03"
+branch_labels = None
+depends_on = None
+
+logger = logging.getLogger("alembic.runtime.migration")
+
+
+def upgrade() -> None:
+    # Get all GitHub connectors
+    conn = op.get_bind()
+
+    # First get all GitHub connectors
+    github_connectors = conn.execute(
+        sa.text(
+            """
+            SELECT id, connector_specific_config
+            FROM connector
+            WHERE source = 'GITHUB'
+            """
+        )
+    ).fetchall()
+
+    # Update each connector's config
+    updated_count = 0
+    for connector_id, config in github_connectors:
+        try:
+            if not config:
+                logger.warning(f"Connector {connector_id} has no config, skipping")
+                continue
+
+            # Parse the config if it's a string
+            if isinstance(config, str):
+                config = json.loads(config)
+
+            if "repo_name" not in config:
+                continue
+
+            # Create new config with repositories instead of repo_name
+            new_config = dict(config)
+            repo_name_value = new_config.pop("repo_name")
+            new_config["repositories"] = repo_name_value
+
+            # Update the connector with the new config
+            conn.execute(
+                sa.text(
+                    """
+                    UPDATE connector
+                    SET connector_specific_config = :new_config
+                    WHERE id = :connector_id
+                    """
+                ),
+                {"connector_id": connector_id, "new_config": json.dumps(new_config)},
+            )
+            updated_count += 1
+        except Exception as e:
+            logger.error(f"Error updating connector {connector_id}: {str(e)}")
+
+
+def downgrade() -> None:
+    # Get all GitHub connectors
+    conn = op.get_bind()
+
+    logger.debug(
+        "Starting rollback of GitHub connectors from repositories to repo_name"
+    )
+
+    github_connectors = conn.execute(
+        sa.text(
+            """
+            SELECT id, connector_specific_config
+            FROM connector
+            WHERE source = 'GITHUB'
+            """
+        )
+    ).fetchall()
+
+    logger.debug(f"Found {len(github_connectors)} GitHub connectors to rollback")
+
+    # Revert each GitHub connector to use repo_name instead of repositories
+    reverted_count = 0
+    for connector_id, config in github_connectors:
+        try:
+            if not config:
+                continue
+
+            # Parse the config if it's a string
+            if isinstance(config, str):
+                config = json.loads(config)
+
+            if "repositories" not in config:
+                continue
+
+            # Create new config with repo_name instead of repositories
+            new_config = dict(config)
+            repositories_value = new_config.pop("repositories")
+            new_config["repo_name"] = repositories_value
+
+            # Update the connector with the new config
+            conn.execute(
+                sa.text(
+                    """
+                    UPDATE connector
+                    SET connector_specific_config = :new_config
+                    WHERE id = :connector_id
+                    """
+                ),
+                {"new_config": json.dumps(new_config), "connector_id": connector_id},
+            )
+            reverted_count += 1
+        except Exception as e:
+            logger.error(f"Error reverting connector {connector_id}: {str(e)}")

backend/alembic_tenants/versions/ac842f85f932_new_column_user_tenant_mapping.py

@@ -0,0 +1,51 @@
+"""new column user tenant mapping
+
+Revision ID: ac842f85f932
+Revises: 34e3630c7f32
+Create Date: 2025-03-03 13:30:14.802874
+
+"""
+import sqlalchemy as sa
+
+from alembic import op
+
+
+# revision identifiers, used by Alembic.
+revision = "ac842f85f932"
+down_revision = "34e3630c7f32"
+branch_labels = None
+depends_on = None
+
+
+def upgrade() -> None:
+    # Add active column with default value of True
+    op.add_column(
+        "user_tenant_mapping",
+        sa.Column(
+            "active",
+            sa.Boolean(),
+            nullable=False,
+            server_default="true",
+        ),
+        schema="public",
+    )
+
+    op.drop_constraint("uq_email", "user_tenant_mapping", schema="public")
+
+    # Create a unique index for active=true records
+    # This ensures a user can only be active in one tenant at a time
+    op.execute(
+        "CREATE UNIQUE INDEX uq_user_active_email_idx ON public.user_tenant_mapping (email) WHERE active = true"
+    )
+
+
+def downgrade() -> None:
+    # Drop the unique index for active=true records
+    op.execute("DROP INDEX IF EXISTS uq_user_active_email_idx")
+
+    op.create_unique_constraint(
+        "uq_email", "user_tenant_mapping", ["email"], schema="public"
+    )
+
+    # Remove the active column
+    op.drop_column("user_tenant_mapping", "active", schema="public")

backend/ee/onyx/db/query_history.py

@@ -134,7 +134,9 @@ def fetch_chat_sessions_eagerly_by_time(
     limit: int | None = 500,
     initial_time: datetime | None = None,
 ) -> list[ChatSession]:
-    time_order: UnaryExpression = desc(ChatSession.time_created)
+    """Sorted by oldest to newest, then by message id"""
+
+    asc_time_order: UnaryExpression = asc(ChatSession.time_created)
     message_order: UnaryExpression = asc(ChatMessage.id)
 
     filters: list[ColumnElement | BinaryExpression] = [
@@ -147,8 +149,7 @@ def fetch_chat_sessions_eagerly_by_time(
     subquery = (
         db_session.query(ChatSession.id, ChatSession.time_created)
         .filter(*filters)
-        .order_by(ChatSession.id, time_order)
-        .distinct(ChatSession.id)
+        .order_by(asc_time_order)
         .limit(limit)
         .subquery()
     )
@@ -164,7 +165,7 @@ def fetch_chat_sessions_eagerly_by_time(
                 ChatMessage.chat_message_feedbacks
             ),
         )
-        .order_by(time_order, message_order)
+        .order_by(asc_time_order, message_order)
     )
 
     chat_sessions = query.all()

backend/ee/onyx/db/usage_export.py

@@ -16,13 +16,20 @@ from onyx.db.models import UsageReport
 from onyx.file_store.file_store import get_default_file_store
 
 
-# Gets skeletons of all message
+# Gets skeletons of all messages in the given range
 def get_empty_chat_messages_entries__paginated(
     db_session: Session,
     period: tuple[datetime, datetime],
     limit: int | None = 500,
     initial_time: datetime | None = None,
 ) -> tuple[Optional[datetime], list[ChatMessageSkeleton]]:
+    """Returns a tuple where:
+    first element is the most recent timestamp out of the sessions iterated
+    - this timestamp can be used to paginate forward in time
+    second element is a list of messages belonging to all the sessions iterated
+
+    Only messages of type USER are returned
+    """
     chat_sessions = fetch_chat_sessions_eagerly_by_time(
         start=period[0],
         end=period[1],
@@ -52,18 +59,17 @@ def get_empty_chat_messages_entries__paginated(
     if len(chat_sessions) == 0:
         return None, []
 
-    return chat_sessions[0].time_created, message_skeletons
+    return chat_sessions[-1].time_created, message_skeletons
 
 
 def get_all_empty_chat_message_entries(
     db_session: Session,
     period: tuple[datetime, datetime],
 ) -> Generator[list[ChatMessageSkeleton], None, None]:
+    """period is the range of time over which to fetch messages."""
     initial_time: Optional[datetime] = period[0]
-    ind = 0
     while True:
-        ind += 1
-
+        # iterate from oldest to newest
         time_created, message_skeletons = get_empty_chat_messages_entries__paginated(
             db_session,
             period,

backend/ee/onyx/main.py

@@ -15,7 +15,7 @@ from ee.onyx.server.enterprise_settings.api import (
 )
 from ee.onyx.server.manage.standard_answer import router as standard_answer_router
 from ee.onyx.server.middleware.tenant_tracking import add_tenant_id_middleware
-from ee.onyx.server.oauth.api import router as oauth_router
+from ee.onyx.server.oauth.api import router as ee_oauth_router
 from ee.onyx.server.query_and_chat.chat_backend import (
     router as chat_router,
 )
@@ -26,7 +26,7 @@ from ee.onyx.server.query_history.api import router as query_history_router
 from ee.onyx.server.reporting.usage_export_api import router as usage_export_router
 from ee.onyx.server.saml import router as saml_router
 from ee.onyx.server.seeding import seed_db
-from ee.onyx.server.tenants.router import router as tenants_router
+from ee.onyx.server.tenants.api import router as tenants_router
 from ee.onyx.server.token_rate_limits.api import (
     router as token_rate_limit_settings_router,
 )
@@ -128,7 +128,7 @@ def get_application() -> FastAPI:
     include_router_with_global_prefix_prepended(application, query_router)
     include_router_with_global_prefix_prepended(application, chat_router)
     include_router_with_global_prefix_prepended(application, standard_answer_router)
-    include_router_with_global_prefix_prepended(application, oauth_router)
+    include_router_with_global_prefix_prepended(application, ee_oauth_router)
 
     # Enterprise-only global settings
     include_router_with_global_prefix_prepended(

backend/ee/onyx/server/oauth/confluence_cloud.py

@@ -80,6 +80,7 @@ class ConfluenceCloudOAuth:
         "search:confluence%20"
         # granular scope
         "read:attachment:confluence%20"  # possibly unneeded unless calling v2 attachments api
+        "read:content-details:confluence%20"  # for permission sync
         "offline_access"
     )
 

backend/ee/onyx/server/query_and_chat/chat_backend.py

@@ -1,10 +1,14 @@
 import re
+from typing import cast
 
 from fastapi import APIRouter
 from fastapi import Depends
 from fastapi import HTTPException
 from sqlalchemy.orm import Session
 
+from ee.onyx.server.query_and_chat.models import AgentAnswer
+from ee.onyx.server.query_and_chat.models import AgentSubQuery
+from ee.onyx.server.query_and_chat.models import AgentSubQuestion
 from ee.onyx.server.query_and_chat.models import BasicCreateChatMessageRequest
 from ee.onyx.server.query_and_chat.models import (
     BasicCreateChatMessageWithHistoryRequest,
@@ -14,13 +18,19 @@ from ee.onyx.server.query_and_chat.models import SimpleDoc
 from onyx.auth.users import current_user
 from onyx.chat.chat_utils import combine_message_thread
 from onyx.chat.chat_utils import create_chat_chain
+from onyx.chat.models import AgentAnswerPiece
 from onyx.chat.models import AllCitations
+from onyx.chat.models import ExtendedToolResponse
 from onyx.chat.models import FinalUsedContextDocsResponse
 from onyx.chat.models import LlmDoc
 from onyx.chat.models import LLMRelevanceFilterResponse
 from onyx.chat.models import OnyxAnswerPiece
 from onyx.chat.models import QADocsResponse
+from onyx.chat.models import RefinedAnswerImprovement
 from onyx.chat.models import StreamingError
+from onyx.chat.models import SubQueryPiece
+from onyx.chat.models import SubQuestionIdentifier
+from onyx.chat.models import SubQuestionPiece
 from onyx.chat.process_message import ChatPacketStream
 from onyx.chat.process_message import stream_chat_message_objects
 from onyx.configs.chat_configs import CHAT_TARGET_CHUNK_PERCENTAGE
@@ -89,6 +99,12 @@ def _convert_packet_stream_to_response(
     final_context_docs: list[LlmDoc] = []
 
     answer = ""
+
+    # accumulate stream data with these dicts
+    agent_sub_questions: dict[tuple[int, int], AgentSubQuestion] = {}
+    agent_answers: dict[tuple[int, int], AgentAnswer] = {}
+    agent_sub_queries: dict[tuple[int, int, int], AgentSubQuery] = {}
+
     for packet in packets:
         if isinstance(packet, OnyxAnswerPiece) and packet.answer_piece:
             answer += packet.answer_piece
@@ -97,6 +113,15 @@ def _convert_packet_stream_to_response(
 
             # TODO: deprecate `simple_search_docs`
             response.simple_search_docs = _translate_doc_response_to_simple_doc(packet)
+
+            # This is a no-op if agent_sub_questions hasn't already been filled
+            if packet.level is not None and packet.level_question_num is not None:
+                id = (packet.level, packet.level_question_num)
+                if id in agent_sub_questions:
+                    agent_sub_questions[id].document_ids = [
+                        saved_search_doc.document_id
+                        for saved_search_doc in packet.top_documents
+                    ]
         elif isinstance(packet, StreamingError):
             response.error_msg = packet.error
         elif isinstance(packet, ChatMessageDetail):
@@ -113,11 +138,104 @@ def _convert_packet_stream_to_response(
                 citation.citation_num: citation.document_id
                 for citation in packet.citations
             }
+        # agentic packets
+        elif isinstance(packet, SubQuestionPiece):
+            if packet.level is not None and packet.level_question_num is not None:
+                id = (packet.level, packet.level_question_num)
+                if agent_sub_questions.get(id) is None:
+                    agent_sub_questions[id] = AgentSubQuestion(
+                        level=packet.level,
+                        level_question_num=packet.level_question_num,
+                        sub_question=packet.sub_question,
+                        document_ids=[],
+                    )
+                else:
+                    agent_sub_questions[id].sub_question += packet.sub_question
+
+        elif isinstance(packet, AgentAnswerPiece):
+            if packet.level is not None and packet.level_question_num is not None:
+                id = (packet.level, packet.level_question_num)
+                if agent_answers.get(id) is None:
+                    agent_answers[id] = AgentAnswer(
+                        level=packet.level,
+                        level_question_num=packet.level_question_num,
+                        answer=packet.answer_piece,
+                        answer_type=packet.answer_type,
+                    )
+                else:
+                    agent_answers[id].answer += packet.answer_piece
+        elif isinstance(packet, SubQueryPiece):
+            if packet.level is not None and packet.level_question_num is not None:
+                sub_query_id = (
+                    packet.level,
+                    packet.level_question_num,
+                    packet.query_id,
+                )
+                if agent_sub_queries.get(sub_query_id) is None:
+                    agent_sub_queries[sub_query_id] = AgentSubQuery(
+                        level=packet.level,
+                        level_question_num=packet.level_question_num,
+                        sub_query=packet.sub_query,
+                        query_id=packet.query_id,
+                    )
+                else:
+                    agent_sub_queries[sub_query_id].sub_query += packet.sub_query
+        elif isinstance(packet, ExtendedToolResponse):
+            # we shouldn't get this ... it gets intercepted and translated to QADocsResponse
+            logger.warning(
+                "_convert_packet_stream_to_response: Unexpected chat packet type ExtendedToolResponse!"
+            )
+        elif isinstance(packet, RefinedAnswerImprovement):
+            response.agent_refined_answer_improvement = (
+                packet.refined_answer_improvement
+            )
+        else:
+            logger.warning(
+                f"_convert_packet_stream_to_response - Unrecognized chat packet: type={type(packet)}"
+            )
 
     response.final_context_doc_indices = _get_final_context_doc_indices(
         final_context_docs, response.top_documents
     )
 
+    # organize / sort agent metadata for output
+    if len(agent_sub_questions) > 0:
+        response.agent_sub_questions = cast(
+            dict[int, list[AgentSubQuestion]],
+            SubQuestionIdentifier.make_dict_by_level(agent_sub_questions),
+        )
+
+    if len(agent_answers) > 0:
+        # return the agent_level_answer from the first level or the last one depending
+        # on agent_refined_answer_improvement
+        response.agent_answers = cast(
+            dict[int, list[AgentAnswer]],
+            SubQuestionIdentifier.make_dict_by_level(agent_answers),
+        )
+        if response.agent_answers:
+            selected_answer_level = (
+                0
+                if not response.agent_refined_answer_improvement
+                else len(response.agent_answers) - 1
+            )
+            level_answers = response.agent_answers[selected_answer_level]
+            for level_answer in level_answers:
+                if level_answer.answer_type != "agent_level_answer":
+                    continue
+
+                answer = level_answer.answer
+                break
+
+    if len(agent_sub_queries) > 0:
+        # subqueries are often emitted with trailing whitespace ... clean it up here
+        # perhaps fix at the source?
+        for v in agent_sub_queries.values():
+            v.sub_query = v.sub_query.strip()
+
+        response.agent_sub_queries = (
+            AgentSubQuery.make_dict_by_level_and_question_index(agent_sub_queries)
+        )
+
     response.answer = answer
     if answer:
         response.answer_citationless = remove_answer_citations(answer)

backend/ee/onyx/server/query_and_chat/models.py

@@ -1,3 +1,5 @@
+from collections import OrderedDict
+from typing import Literal
 from uuid import UUID
 
 from pydantic import BaseModel
@@ -9,6 +11,7 @@ from onyx.chat.models import CitationInfo
 from onyx.chat.models import OnyxContexts
 from onyx.chat.models import PersonaOverrideConfig
 from onyx.chat.models import QADocsResponse
+from onyx.chat.models import SubQuestionIdentifier
 from onyx.chat.models import ThreadMessage
 from onyx.configs.constants import DocumentSource
 from onyx.context.search.enums import LLMEvaluationType
@@ -88,6 +91,64 @@ class SimpleDoc(BaseModel):
     metadata: dict | None
 
 
+class AgentSubQuestion(SubQuestionIdentifier):
+    sub_question: str
+    document_ids: list[str]
+
+
+class AgentAnswer(SubQuestionIdentifier):
+    answer: str
+    answer_type: Literal["agent_sub_answer", "agent_level_answer"]
+
+
+class AgentSubQuery(SubQuestionIdentifier):
+    sub_query: str
+    query_id: int
+
+    @staticmethod
+    def make_dict_by_level_and_question_index(
+        original_dict: dict[tuple[int, int, int], "AgentSubQuery"]
+    ) -> dict[int, dict[int, list["AgentSubQuery"]]]:
+        """Takes a dict of tuple(level, question num, query_id) to sub queries.
+
+        returns a dict of level to dict[question num to list of query_id's]
+        Ordering is asc for readability.
+        """
+        # In this function, when we sort int | None, we deliberately push None to the end
+
+        # map entries to the level_question_dict
+        level_question_dict: dict[int, dict[int, list["AgentSubQuery"]]] = {}
+        for k1, obj in original_dict.items():
+            level = k1[0]
+            question = k1[1]
+
+            if level not in level_question_dict:
+                level_question_dict[level] = {}
+
+            if question not in level_question_dict[level]:
+                level_question_dict[level][question] = []
+
+            level_question_dict[level][question].append(obj)
+
+        # sort each query_id list and question_index
+        for key1, obj1 in level_question_dict.items():
+            for key2, value2 in obj1.items():
+                # sort the query_id list of each question_index
+                level_question_dict[key1][key2] = sorted(
+                    value2, key=lambda o: o.query_id
+                )
+            # sort the question_index dict of level
+            level_question_dict[key1] = OrderedDict(
+                sorted(level_question_dict[key1].items(), key=lambda x: (x is None, x))
+            )
+
+        # sort the top dict of levels
+        sorted_dict = OrderedDict(
+            sorted(level_question_dict.items(), key=lambda x: (x is None, x))
+        )
+        return sorted_dict
+
+
 class ChatBasicResponse(BaseModel):
     # This is built piece by piece, any of these can be None as the flow could break
     answer: str | None = None
@@ -107,6 +168,12 @@ class ChatBasicResponse(BaseModel):
     simple_search_docs: list[SimpleDoc] | None = None
     llm_chunks_indices: list[int] | None = None
 
+    # agentic fields
+    agent_sub_questions: dict[int, list[AgentSubQuestion]] | None = None
+    agent_answers: dict[int, list[AgentAnswer]] | None = None
+    agent_sub_queries: dict[int, dict[int, list[AgentSubQuery]]] | None = None
+    agent_refined_answer_improvement: bool | None = None
+
 
 class OneShotQARequest(ChunkContext):
     # Supports simplier APIs that don't deal with chat histories or message edits

backend/ee/onyx/server/query_history/api.py

@@ -48,10 +48,15 @@ def fetch_and_process_chat_session_history(
     feedback_type: QAFeedbackType | None,
     limit: int | None = 500,
 ) -> list[ChatSessionSnapshot]:
+    # observed to be slow a scale of 8192 sessions and 4 messages per session
+
+    # this is a little slow (5 seconds)
     chat_sessions = fetch_chat_sessions_eagerly_by_time(
         start=start, end=end, db_session=db_session, limit=limit
     )
 
+    # this is VERY slow (80 seconds) due to create_chat_chain being called
+    # for each session. Needs optimizing.
     chat_session_snapshots = [
         snapshot_from_chat_session(chat_session=chat_session, db_session=db_session)
         for chat_session in chat_sessions
@@ -246,6 +251,8 @@ def get_query_history_as_csv(
             detail="Query history has been disabled by the administrator.",
         )
 
+    # this call is very expensive and is timing out via endpoint
+    # TODO: optimize call and/or generate via background task
     complete_chat_session_history = fetch_and_process_chat_session_history(
         db_session=db_session,
         start=start or datetime.fromtimestamp(0, tz=timezone.utc),

backend/ee/onyx/server/tenants/api.py

@@ -1,269 +1,24 @@
-import stripe
 from fastapi import APIRouter
-from fastapi import Depends
-from fastapi import HTTPException
-from fastapi import Response
-from sqlalchemy.exc import IntegrityError
-from sqlalchemy.orm import Session
 
-from ee.onyx.auth.users import current_cloud_superuser
-from ee.onyx.auth.users import generate_anonymous_user_jwt_token
-from ee.onyx.configs.app_configs import ANONYMOUS_USER_COOKIE_NAME
-from ee.onyx.configs.app_configs import STRIPE_SECRET_KEY
-from ee.onyx.server.tenants.access import control_plane_dep
-from ee.onyx.server.tenants.anonymous_user_path import get_anonymous_user_path
-from ee.onyx.server.tenants.anonymous_user_path import (
-    get_tenant_id_for_anonymous_user_path,
+from ee.onyx.server.tenants.admin_api import router as admin_router
+from ee.onyx.server.tenants.anonymous_users_api import router as anonymous_users_router
+from ee.onyx.server.tenants.billing_api import router as billing_router
+from ee.onyx.server.tenants.team_membership_api import router as team_membership_router
+from ee.onyx.server.tenants.tenant_management_api import (
+    router as tenant_management_router,
+)
+from ee.onyx.server.tenants.user_invitations_api import (
+    router as user_invitations_router,
 )
-from ee.onyx.server.tenants.anonymous_user_path import modify_anonymous_user_path
-from ee.onyx.server.tenants.anonymous_user_path import validate_anonymous_user_path
-from ee.onyx.server.tenants.billing import fetch_billing_information
-from ee.onyx.server.tenants.billing import fetch_stripe_checkout_session
-from ee.onyx.server.tenants.billing import fetch_tenant_stripe_information
-from ee.onyx.server.tenants.models import AnonymousUserPath
-from ee.onyx.server.tenants.models import BillingInformation
-from ee.onyx.server.tenants.models import ImpersonateRequest
-from ee.onyx.server.tenants.models import ProductGatingRequest
-from ee.onyx.server.tenants.models import ProductGatingResponse
-from ee.onyx.server.tenants.models import SubscriptionSessionResponse
-from ee.onyx.server.tenants.models import SubscriptionStatusResponse
-from ee.onyx.server.tenants.product_gating import store_product_gating
-from ee.onyx.server.tenants.provisioning import delete_user_from_control_plane
-from ee.onyx.server.tenants.user_mapping import get_tenant_id_for_email
-from ee.onyx.server.tenants.user_mapping import remove_all_users_from_tenant
-from ee.onyx.server.tenants.user_mapping import remove_users_from_tenant
-from onyx.auth.users import anonymous_user_enabled
-from onyx.auth.users import auth_backend
-from onyx.auth.users import current_admin_user
-from onyx.auth.users import get_redis_strategy
-from onyx.auth.users import optional_user
-from onyx.auth.users import User
-from onyx.configs.app_configs import WEB_DOMAIN
-from onyx.configs.constants import FASTAPI_USERS_AUTH_COOKIE_NAME
-from onyx.db.auth import get_user_count
-from onyx.db.engine import get_session
-from onyx.db.engine import get_session_with_shared_schema
-from onyx.db.engine import get_session_with_tenant
-from onyx.db.users import delete_user_from_db
-from onyx.db.users import get_user_by_email
-from onyx.server.manage.models import UserByEmail
-from onyx.utils.logger import setup_logger
-from shared_configs.contextvars import CURRENT_TENANT_ID_CONTEXTVAR
-from shared_configs.contextvars import get_current_tenant_id
 
-stripe.api_key = STRIPE_SECRET_KEY
-logger = setup_logger()
-router = APIRouter(prefix="/tenants")
+# Create a main router to include all sub-routers
+# Note: We don't add a prefix here as each router already has the /tenants prefix
+router = APIRouter()
 
-
-@router.get("/anonymous-user-path")
-async def get_anonymous_user_path_api(
-    _: User | None = Depends(current_admin_user),
-) -> AnonymousUserPath:
-    tenant_id = get_current_tenant_id()
-
-    if tenant_id is None:
-        raise HTTPException(status_code=404, detail="Tenant not found")
-
-    with get_session_with_shared_schema() as db_session:
-        current_path = get_anonymous_user_path(tenant_id, db_session)
-
-    return AnonymousUserPath(anonymous_user_path=current_path)
-
-
-@router.post("/anonymous-user-path")
-async def set_anonymous_user_path_api(
-    anonymous_user_path: str,
-    _: User | None = Depends(current_admin_user),
-) -> None:
-    tenant_id = get_current_tenant_id()
-    try:
-        validate_anonymous_user_path(anonymous_user_path)
-    except ValueError as e:
-        raise HTTPException(status_code=400, detail=str(e))
-
-    with get_session_with_shared_schema() as db_session:
-        try:
-            modify_anonymous_user_path(tenant_id, anonymous_user_path, db_session)
-        except IntegrityError:
-            raise HTTPException(
-                status_code=409,
-                detail="The anonymous user path is already in use. Please choose a different path.",
-            )
-        except Exception as e:
-            logger.exception(f"Failed to modify anonymous user path: {str(e)}")
-            raise HTTPException(
-                status_code=500,
-                detail="An unexpected error occurred while modifying the anonymous user path",
-            )
-
-
-@router.post("/anonymous-user")
-async def login_as_anonymous_user(
-    anonymous_user_path: str,
-    _: User | None = Depends(optional_user),
-) -> Response:
-    with get_session_with_shared_schema() as db_session:
-        tenant_id = get_tenant_id_for_anonymous_user_path(
-            anonymous_user_path, db_session
-        )
-        if not tenant_id:
-            raise HTTPException(status_code=404, detail="Tenant not found")
-
-    if not anonymous_user_enabled(tenant_id=tenant_id):
-        raise HTTPException(status_code=403, detail="Anonymous user is not enabled")
-
-    token = generate_anonymous_user_jwt_token(tenant_id)
-
-    response = Response()
-    response.delete_cookie(FASTAPI_USERS_AUTH_COOKIE_NAME)
-    response.set_cookie(
-        key=ANONYMOUS_USER_COOKIE_NAME,
-        value=token,
-        httponly=True,
-        secure=True,
-        samesite="strict",
-    )
-    return response
-
-
-@router.post("/product-gating")
-def gate_product(
-    product_gating_request: ProductGatingRequest, _: None = Depends(control_plane_dep)
-) -> ProductGatingResponse:
-    """
-    Gating the product means that the product is not available to the tenant.
-    They will be directed to the billing page.
-    We gate the product when their subscription has ended.
-    """
-    try:
-        store_product_gating(
-            product_gating_request.tenant_id, product_gating_request.application_status
-        )
-        return ProductGatingResponse(updated=True, error=None)
-
-    except Exception as e:
-        logger.exception("Failed to gate product")
-        return ProductGatingResponse(updated=False, error=str(e))
-
-
-@router.get("/billing-information")
-async def billing_information(
-    _: User = Depends(current_admin_user),
-) -> BillingInformation | SubscriptionStatusResponse:
-    logger.info("Fetching billing information")
-    tenant_id = get_current_tenant_id()
-    return fetch_billing_information(tenant_id)
-
-
-@router.post("/create-customer-portal-session")
-async def create_customer_portal_session(
-    _: User = Depends(current_admin_user),
-) -> dict:
-    tenant_id = get_current_tenant_id()
-
-    try:
-        stripe_info = fetch_tenant_stripe_information(tenant_id)
-        stripe_customer_id = stripe_info.get("stripe_customer_id")
-        if not stripe_customer_id:
-            raise HTTPException(status_code=400, detail="Stripe customer ID not found")
-        logger.info(stripe_customer_id)
-
-        portal_session = stripe.billing_portal.Session.create(
-            customer=stripe_customer_id,
-            return_url=f"{WEB_DOMAIN}/admin/billing",
-        )
-        logger.info(portal_session)
-        return {"url": portal_session.url}
-    except Exception as e:
-        logger.exception("Failed to create customer portal session")
-        raise HTTPException(status_code=500, detail=str(e))
-
-
-@router.post("/create-subscription-session")
-async def create_subscription_session(
-    _: User = Depends(current_admin_user),
-) -> SubscriptionSessionResponse:
-    try:
-        tenant_id = CURRENT_TENANT_ID_CONTEXTVAR.get()
-        if not tenant_id:
-            raise HTTPException(status_code=400, detail="Tenant ID not found")
-        session_id = fetch_stripe_checkout_session(tenant_id)
-        return SubscriptionSessionResponse(sessionId=session_id)
-
-    except Exception as e:
-        logger.exception("Failed to create resubscription session")
-        raise HTTPException(status_code=500, detail=str(e))
-
-
-@router.post("/impersonate")
-async def impersonate_user(
-    impersonate_request: ImpersonateRequest,
-    _: User = Depends(current_cloud_superuser),
-) -> Response:
-    """Allows a cloud superuser to impersonate another user by generating an impersonation JWT token"""
-    tenant_id = get_tenant_id_for_email(impersonate_request.email)
-
-    with get_session_with_tenant(tenant_id=tenant_id) as tenant_session:
-        user_to_impersonate = get_user_by_email(
-            impersonate_request.email, tenant_session
-        )
-        if user_to_impersonate is None:
-            raise HTTPException(status_code=404, detail="User not found")
-        token = await get_redis_strategy().write_token(user_to_impersonate)
-
-    response = await auth_backend.transport.get_login_response(token)
-    response.set_cookie(
-        key="fastapiusersauth",
-        value=token,
-        httponly=True,
-        secure=True,
-        samesite="lax",
-    )
-    return response
-
-
-@router.post("/leave-organization")
-async def leave_organization(
-    user_email: UserByEmail,
-    current_user: User | None = Depends(current_admin_user),
-    db_session: Session = Depends(get_session),
-) -> None:
-    tenant_id = get_current_tenant_id()
-
-    if current_user is None or current_user.email != user_email.user_email:
-        raise HTTPException(
-            status_code=403, detail="You can only leave the organization as yourself"
-        )
-
-    user_to_delete = get_user_by_email(user_email.user_email, db_session)
-    if user_to_delete is None:
-        raise HTTPException(status_code=404, detail="User not found")
-
-    num_admin_users = await get_user_count(only_admin_users=True)
-
-    should_delete_tenant = num_admin_users == 1
-
-    if should_delete_tenant:
-        logger.info(
-            "Last admin user is leaving the organization. Deleting tenant from control plane."
-        )
-        try:
-            await delete_user_from_control_plane(tenant_id, user_to_delete.email)
-            logger.debug("User deleted from control plane")
-        except Exception as e:
-            logger.exception(
-                f"Failed to delete user from control plane for tenant {tenant_id}: {e}"
-            )
-            raise HTTPException(
-                status_code=500,
-                detail=f"Failed to remove user from control plane: {str(e)}",
-            )
-
-    db_session.expunge(user_to_delete)
-    delete_user_from_db(user_to_delete, db_session)
-
-    if should_delete_tenant:
-        remove_all_users_from_tenant(tenant_id)
-    else:
-        remove_users_from_tenant([user_to_delete.email], tenant_id)
+# Include all the individual routers
+router.include_router(admin_router)
+router.include_router(anonymous_users_router)
+router.include_router(billing_router)
+router.include_router(team_membership_router)
+router.include_router(tenant_management_router)
+router.include_router(user_invitations_router)

backend/ee/onyx/server/tenants/async_setup.py

@@ -1,143 +0,0 @@
-import asyncio
-import logging
-
-from sqlalchemy.orm import Session
-
-from ee.onyx.configs.app_configs import ANTHROPIC_DEFAULT_API_KEY
-from ee.onyx.configs.app_configs import COHERE_DEFAULT_API_KEY
-from ee.onyx.configs.app_configs import OPENAI_DEFAULT_API_KEY
-from ee.onyx.server.tenants.schema_management import run_alembic_migrations
-from onyx.configs.constants import MilestoneRecordType
-from onyx.db.engine import get_session_with_tenant
-from onyx.db.llm import update_default_provider
-from onyx.db.llm import upsert_cloud_embedding_provider
-from onyx.db.llm import upsert_llm_provider
-from onyx.db.models import IndexModelStatus
-from onyx.db.models import SearchSettings
-from onyx.llm.llm_provider_options import ANTHROPIC_MODEL_NAMES
-from onyx.llm.llm_provider_options import ANTHROPIC_PROVIDER_NAME
-from onyx.llm.llm_provider_options import OPEN_AI_MODEL_NAMES
-from onyx.llm.llm_provider_options import OPENAI_PROVIDER_NAME
-from onyx.server.manage.embedding.models import CloudEmbeddingProviderCreationRequest
-from onyx.server.manage.llm.models import LLMProviderUpsertRequest
-from onyx.setup import setup_onyx
-from onyx.utils.telemetry import create_milestone_and_report
-from shared_configs.contextvars import CURRENT_TENANT_ID_CONTEXTVAR
-from shared_configs.enums import EmbeddingProvider
-
-logger = logging.getLogger(__name__)
-
-
-async def complete_tenant_setup(tenant_id: str, email: str) -> None:
-    """
-    Complete the tenant setup process asynchronously after the essential migrations
-    have been applied. This includes:
-    1. Running the remaining Alembic migrations
-    2. Setting up Onyx
-    3. Creating milestone records
-    """
-    logger.info(f"Starting asynchronous tenant setup for tenant {tenant_id}")
-    token = None
-
-    try:
-        token = CURRENT_TENANT_ID_CONTEXTVAR.set(tenant_id)
-
-        # Run the remaining Alembic migrations
-        await asyncio.to_thread(run_alembic_migrations, tenant_id)
-
-        # Configure default API keys
-        with get_session_with_tenant(tenant_id=tenant_id) as db_session:
-            configure_default_api_keys(db_session)
-
-        # Setup Onyx
-        with get_session_with_tenant(tenant_id=tenant_id) as db_session:
-            current_search_settings = (
-                db_session.query(SearchSettings)
-                .filter_by(status=IndexModelStatus.FUTURE)
-                .first()
-            )
-            cohere_enabled = (
-                current_search_settings is not None
-                and current_search_settings.provider_type == EmbeddingProvider.COHERE
-            )
-            setup_onyx(db_session, tenant_id, cohere_enabled=cohere_enabled)
-
-        # Create milestone record
-        with get_session_with_tenant(tenant_id=tenant_id) as db_session:
-            create_milestone_and_report(
-                user=None,
-                distinct_id=tenant_id,
-                event_type=MilestoneRecordType.TENANT_CREATED,
-                properties={
-                    "email": email,
-                },
-                db_session=db_session,
-            )
-
-        logger.info(f"Asynchronous tenant setup completed for tenant {tenant_id}")
-
-    except Exception as e:
-        logger.exception(
-            f"Failed to complete asynchronous tenant setup for tenant {tenant_id}: {e}"
-        )
-    finally:
-        if token is not None:
-            CURRENT_TENANT_ID_CONTEXTVAR.reset(token)
-
-
-def configure_default_api_keys(db_session: Session) -> None:
-    if ANTHROPIC_DEFAULT_API_KEY:
-        anthropic_provider = LLMProviderUpsertRequest(
-            name="Anthropic",
-            provider=ANTHROPIC_PROVIDER_NAME,
-            api_key=ANTHROPIC_DEFAULT_API_KEY,
-            default_model_name="claude-3-7-sonnet-20250219",
-            fast_default_model_name="claude-3-5-sonnet-20241022",
-            model_names=ANTHROPIC_MODEL_NAMES,
-            display_model_names=["claude-3-5-sonnet-20241022"],
-        )
-        try:
-            full_provider = upsert_llm_provider(anthropic_provider, db_session)
-            update_default_provider(full_provider.id, db_session)
-        except Exception as e:
-            logger.error(f"Failed to configure Anthropic provider: {e}")
-    else:
-        logger.error(
-            "ANTHROPIC_DEFAULT_API_KEY not set, skipping Anthropic provider configuration"
-        )
-
-    if OPENAI_DEFAULT_API_KEY:
-        open_provider = LLMProviderUpsertRequest(
-            name="OpenAI",
-            provider=OPENAI_PROVIDER_NAME,
-            api_key=OPENAI_DEFAULT_API_KEY,
-            default_model_name="gpt-4o",
-            fast_default_model_name="gpt-4o-mini",
-            model_names=OPEN_AI_MODEL_NAMES,
-            display_model_names=["o1", "o3-mini", "gpt-4o", "gpt-4o-mini"],
-        )
-        try:
-            full_provider = upsert_llm_provider(open_provider, db_session)
-            update_default_provider(full_provider.id, db_session)
-        except Exception as e:
-            logger.error(f"Failed to configure OpenAI provider: {e}")
-    else:
-        logger.error(
-            "OPENAI_DEFAULT_API_KEY not set, skipping OpenAI provider configuration"
-        )
-
-    if COHERE_DEFAULT_API_KEY:
-        cloud_embedding_provider = CloudEmbeddingProviderCreationRequest(
-            provider_type=EmbeddingProvider.COHERE,
-            api_key=COHERE_DEFAULT_API_KEY,
-        )
-
-        try:
-            logger.info("Attempting to upsert Cohere cloud embedding provider")
-            upsert_cloud_embedding_provider(cloud_embedding_provider, db_session)
-        except Exception as e:
-            logger.error(f"Failed to configure Cohere provider: {e}")
-    else:
-        logger.error(
-            "COHERE_DEFAULT_API_KEY not set, skipping Cohere provider configuration"
-        )

backend/ee/onyx/server/tenants/models.py

@@ -71,15 +71,26 @@ class SubscriptionSessionResponse(BaseModel):
 
 class TenantByDomainResponse(BaseModel):
     tenant_id: str
-    status: str
-    is_complete: bool
+    number_of_users: int
+    creator_email: str
+
+
+class TenantByDomainRequest(BaseModel):
+    email: str
+
+
+class RequestInviteRequest(BaseModel):
+    tenant_id: str
+
+
+class RequestInviteResponse(BaseModel):
+    success: bool
+    message: str
+
+
+class PendingUserSnapshot(BaseModel):
+    email: str
 
 
 class ApproveUserRequest(BaseModel):
     email: str
-    tenant_id: str
-
-
-class RequestInviteRequest(BaseModel):
-    email: str
-    tenant_id: str

backend/ee/onyx/server/tenants/product_gating.py

@@ -48,4 +48,5 @@ def store_product_gating(tenant_id: str, application_status: ApplicationStatus)
 
 def get_gated_tenants() -> set[str]:
     redis_client = get_redis_replica_client(tenant_id=ONYX_CLOUD_TENANT_ID)
-    return cast(set[str], redis_client.smembers(GATED_TENANTS_KEY))
+    gated_tenants_bytes = cast(set[bytes], redis_client.smembers(GATED_TENANTS_KEY))
+    return {tenant_id.decode("utf-8") for tenant_id in gated_tenants_bytes}

backend/ee/onyx/server/tenants/provisioning.py

@@ -4,30 +4,51 @@ import uuid
 
 import aiohttp  # Async HTTP client
 import httpx
+import requests
 from fastapi import HTTPException
 from fastapi import Request
+from sqlalchemy import select
 from sqlalchemy.orm import Session
 
+from ee.onyx.configs.app_configs import ANTHROPIC_DEFAULT_API_KEY
+from ee.onyx.configs.app_configs import COHERE_DEFAULT_API_KEY
 from ee.onyx.configs.app_configs import HUBSPOT_TRACKING_URL
+from ee.onyx.configs.app_configs import OPENAI_DEFAULT_API_KEY
 from ee.onyx.server.tenants.access import generate_data_plane_token
-from ee.onyx.server.tenants.async_setup import complete_tenant_setup
+from ee.onyx.server.tenants.models import TenantByDomainResponse
 from ee.onyx.server.tenants.models import TenantCreationPayload
 from ee.onyx.server.tenants.models import TenantDeletionPayload
 from ee.onyx.server.tenants.schema_management import create_schema_if_not_exists
 from ee.onyx.server.tenants.schema_management import drop_schema
-from ee.onyx.server.tenants.schema_management import run_essential_alembic_migrations
+from ee.onyx.server.tenants.schema_management import run_alembic_migrations
 from ee.onyx.server.tenants.user_mapping import add_users_to_tenant
 from ee.onyx.server.tenants.user_mapping import get_tenant_id_for_email
 from ee.onyx.server.tenants.user_mapping import user_owns_a_tenant
 from onyx.auth.users import exceptions
 from onyx.configs.app_configs import CONTROL_PLANE_API_BASE_URL
 from onyx.configs.app_configs import DEV_MODE
+from onyx.configs.constants import MilestoneRecordType
+from onyx.db.engine import get_session_with_tenant
 from onyx.db.engine import get_sqlalchemy_engine
+from onyx.db.llm import update_default_provider
+from onyx.db.llm import upsert_cloud_embedding_provider
+from onyx.db.llm import upsert_llm_provider
+from onyx.db.models import IndexModelStatus
+from onyx.db.models import SearchSettings
 from onyx.db.models import UserTenantMapping
+from onyx.llm.llm_provider_options import ANTHROPIC_MODEL_NAMES
+from onyx.llm.llm_provider_options import ANTHROPIC_PROVIDER_NAME
+from onyx.llm.llm_provider_options import OPEN_AI_MODEL_NAMES
+from onyx.llm.llm_provider_options import OPENAI_PROVIDER_NAME
+from onyx.server.manage.embedding.models import CloudEmbeddingProviderCreationRequest
+from onyx.server.manage.llm.models import LLMProviderUpsertRequest
+from onyx.setup import setup_onyx
+from onyx.utils.telemetry import create_milestone_and_report
 from shared_configs.configs import MULTI_TENANT
 from shared_configs.configs import POSTGRES_DEFAULT_SCHEMA
 from shared_configs.configs import TENANT_ID_PREFIX
 from shared_configs.contextvars import CURRENT_TENANT_ID_CONTEXTVAR
+from shared_configs.enums import EmbeddingProvider
 
 
 logger = logging.getLogger(__name__)
@@ -36,7 +57,11 @@ logger = logging.getLogger(__name__)
 async def get_or_provision_tenant(
     email: str, referral_source: str | None = None, request: Request | None = None
 ) -> str:
-    """Get existing tenant ID for an email or create a new tenant if none exists."""
+    """
+    Get existing tenant ID for an email or create a new tenant if none exists.
+    This function should only be called after we have verified we want this user's tenant to exist.
+    It returns the tenant ID associated with the email, creating a new tenant if necessary.
+    """
     if not MULTI_TENANT:
         return POSTGRES_DEFAULT_SCHEMA
 
@@ -96,19 +121,35 @@ async def provision_tenant(tenant_id: str, email: str) -> None:
 
         token = CURRENT_TENANT_ID_CONTEXTVAR.set(tenant_id)
 
-        # Run only the essential Alembic migrations needed for auth
-        await asyncio.to_thread(run_essential_alembic_migrations, tenant_id)
+        # Await the Alembic migrations
+        await asyncio.to_thread(run_alembic_migrations, tenant_id)
+
+        with get_session_with_tenant(tenant_id=tenant_id) as db_session:
+            configure_default_api_keys(db_session)
+
+            current_search_settings = (
+                db_session.query(SearchSettings)
+                .filter_by(status=IndexModelStatus.FUTURE)
+                .first()
+            )
+            cohere_enabled = (
+                current_search_settings is not None
+                and current_search_settings.provider_type == EmbeddingProvider.COHERE
+            )
+            setup_onyx(db_session, tenant_id, cohere_enabled=cohere_enabled)
 
-        # Add user to tenant immediately so they can log in
         add_users_to_tenant([email], tenant_id)
 
-        # Start the rest of the setup process asynchronously
-        asyncio.create_task(complete_tenant_setup(tenant_id, email))
-
-        logger.info(f"Essential tenant provisioning completed for tenant {tenant_id}")
-        logger.info(
-            f"Remaining setup will continue asynchronously for tenant {tenant_id}"
-        )
+        with get_session_with_tenant(tenant_id=tenant_id) as db_session:
+            create_milestone_and_report(
+                user=None,
+                distinct_id=tenant_id,
+                event_type=MilestoneRecordType.TENANT_CREATED,
+                properties={
+                    "email": email,
+                },
+                db_session=db_session,
+            )
 
     except Exception as e:
         logger.exception(f"Failed to create tenant {tenant_id}")
@@ -164,43 +205,136 @@ async def rollback_tenant_provisioning(tenant_id: str) -> None:
         logger.error(f"Failed to rollback tenant provisioning: {e}")
 
 
+def configure_default_api_keys(db_session: Session) -> None:
+    if ANTHROPIC_DEFAULT_API_KEY:
+        anthropic_provider = LLMProviderUpsertRequest(
+            name="Anthropic",
+            provider=ANTHROPIC_PROVIDER_NAME,
+            api_key=ANTHROPIC_DEFAULT_API_KEY,
+            default_model_name="claude-3-7-sonnet-20250219",
+            fast_default_model_name="claude-3-5-sonnet-20241022",
+            model_names=ANTHROPIC_MODEL_NAMES,
+            display_model_names=["claude-3-5-sonnet-20241022"],
+        )
+        try:
+            full_provider = upsert_llm_provider(anthropic_provider, db_session)
+            update_default_provider(full_provider.id, db_session)
+        except Exception as e:
+            logger.error(f"Failed to configure Anthropic provider: {e}")
+    else:
+        logger.error(
+            "ANTHROPIC_DEFAULT_API_KEY not set, skipping Anthropic provider configuration"
+        )
+
+    if OPENAI_DEFAULT_API_KEY:
+        open_provider = LLMProviderUpsertRequest(
+            name="OpenAI",
+            provider=OPENAI_PROVIDER_NAME,
+            api_key=OPENAI_DEFAULT_API_KEY,
+            default_model_name="gpt-4o",
+            fast_default_model_name="gpt-4o-mini",
+            model_names=OPEN_AI_MODEL_NAMES,
+            display_model_names=["o1", "o3-mini", "gpt-4o", "gpt-4o-mini"],
+        )
+        try:
+            full_provider = upsert_llm_provider(open_provider, db_session)
+            update_default_provider(full_provider.id, db_session)
+        except Exception as e:
+            logger.error(f"Failed to configure OpenAI provider: {e}")
+    else:
+        logger.error(
+            "OPENAI_DEFAULT_API_KEY not set, skipping OpenAI provider configuration"
+        )
+
+    if COHERE_DEFAULT_API_KEY:
+        cloud_embedding_provider = CloudEmbeddingProviderCreationRequest(
+            provider_type=EmbeddingProvider.COHERE,
+            api_key=COHERE_DEFAULT_API_KEY,
+        )
+
+        try:
+            logger.info("Attempting to upsert Cohere cloud embedding provider")
+            upsert_cloud_embedding_provider(db_session, cloud_embedding_provider)
+            logger.info("Successfully upserted Cohere cloud embedding provider")
+
+            logger.info("Updating search settings with Cohere embedding model details")
+            query = (
+                select(SearchSettings)
+                .where(SearchSettings.status == IndexModelStatus.FUTURE)
+                .order_by(SearchSettings.id.desc())
+            )
+            result = db_session.execute(query)
+            current_search_settings = result.scalars().first()
+
+            if current_search_settings:
+                current_search_settings.model_name = (
+                    "embed-english-v3.0"  # Cohere's latest model as of now
+                )
+                current_search_settings.model_dim = (
+                    1024  # Cohere's embed-english-v3.0 dimension
+                )
+                current_search_settings.provider_type = EmbeddingProvider.COHERE
+                current_search_settings.index_name = (
+                    "danswer_chunk_cohere_embed_english_v3_0"
+                )
+                current_search_settings.query_prefix = ""
+                current_search_settings.passage_prefix = ""
+                db_session.commit()
+            else:
+                raise RuntimeError(
+                    "No search settings specified, DB is not in a valid state"
+                )
+            logger.info("Fetching updated search settings to verify changes")
+            updated_query = (
+                select(SearchSettings)
+                .where(SearchSettings.status == IndexModelStatus.PRESENT)
+                .order_by(SearchSettings.id.desc())
+            )
+            updated_result = db_session.execute(updated_query)
+            updated_result.scalars().first()
+
+        except Exception:
+            logger.exception("Failed to configure Cohere embedding provider")
+    else:
+        logger.info(
+            "COHERE_DEFAULT_API_KEY not set, skipping Cohere embedding provider configuration"
+        )
+
+
 async def submit_to_hubspot(
     email: str, referral_source: str | None, request: Request
 ) -> None:
     if not HUBSPOT_TRACKING_URL:
+        logger.info("HUBSPOT_TRACKING_URL not set, skipping HubSpot submission")
         return
 
-    try:
-        user_agent = request.headers.get("user-agent", "")
-        referer = request.headers.get("referer", "")
-        ip_address = request.client.host if request.client else ""
+    # HubSpot tracking cookie
+    hubspot_cookie = request.cookies.get("hubspotutk")
 
-        payload = {
-            "email": email,
-            "referral_source": referral_source or "",
-            "user_agent": user_agent,
-            "referer": referer,
-            "ip_address": ip_address,
-        }
+    # IP address
+    ip_address = request.client.host if request.client else None
 
-        async with httpx.AsyncClient() as client:
-            response = await client.post(
-                HUBSPOT_TRACKING_URL,
-                json=payload,
-                timeout=5.0,
-            )
-            if response.status_code != 200:
-                logger.error(
-                    f"Failed to submit to HubSpot: {response.status_code} {response.text}"
-                )
-    except Exception as e:
-        logger.error(f"Error submitting to HubSpot: {e}")
+    data = {
+        "fields": [
+            {"name": "email", "value": email},
+            {"name": "referral_source", "value": referral_source or ""},
+        ],
+        "context": {
+            "hutk": hubspot_cookie,
+            "ipAddress": ip_address,
+            "pageUri": str(request.url),
+            "pageName": "User Registration",
+        },
+    }
+
+    async with httpx.AsyncClient() as client:
+        response = await client.post(HUBSPOT_TRACKING_URL, json=data)
+
+    if response.status_code != 200:
+        logger.error(f"Failed to submit to HubSpot: {response.text}")
 
 
 async def delete_user_from_control_plane(tenant_id: str, email: str) -> None:
-    if DEV_MODE:
-        return
-
     token = generate_data_plane_token()
     headers = {
         "Authorization": f"Bearer {token}",
@@ -209,14 +343,59 @@ async def delete_user_from_control_plane(tenant_id: str, email: str) -> None:
     payload = TenantDeletionPayload(tenant_id=tenant_id, email=email)
 
     async with aiohttp.ClientSession() as session:
-        async with session.post(
+        async with session.delete(
             f"{CONTROL_PLANE_API_BASE_URL}/tenants/delete",
             headers=headers,
             json=payload.model_dump(),
         ) as response:
+            print(response)
             if response.status != 200:
                 error_text = await response.text()
-                logger.error(f"Control plane tenant deletion failed: {error_text}")
+                logger.error(f"Control plane tenant creation failed: {error_text}")
                 raise Exception(
                     f"Failed to delete tenant on control plane: {error_text}"
                 )
+
+
+def get_tenant_by_domain_from_control_plane(
+    domain: str,
+    tenant_id: str,
+) -> TenantByDomainResponse | None:
+    """
+    Fetches tenant information from the control plane based on the email domain.
+
+    Args:
+        domain: The email domain to search for (e.g., "example.com")
+
+    Returns:
+        A dictionary containing tenant information if found, None otherwise
+    """
+    token = generate_data_plane_token()
+    headers = {
+        "Authorization": f"Bearer {token}",
+        "Content-Type": "application/json",
+    }
+
+    try:
+        response = requests.get(
+            f"{CONTROL_PLANE_API_BASE_URL}/tenant-by-domain",
+            headers=headers,
+            json={"domain": domain, "tenant_id": tenant_id},
+        )
+
+        if response.status_code != 200:
+            logger.error(f"Control plane tenant lookup failed: {response.text}")
+            return None
+
+        response_data = response.json()
+        if not response_data:
+            return None
+
+        return TenantByDomainResponse(
+            tenant_id=response_data.get("tenant_id"),
+            number_of_users=response_data.get("number_of_users"),
+            creator_email=response_data.get("creator_email"),
+        )
+    except Exception as e:
+        logger.error(f"Error fetching tenant by domain: {str(e)}")
+        return None

backend/ee/onyx/server/tenants/router.py

@@ -1,62 +0,0 @@
-from fastapi import APIRouter
-from fastapi import Depends
-from fastapi import HTTPException
-from pydantic import BaseModel
-
-from ee.onyx.server.tenants.admin_api import router as admin_router
-from ee.onyx.server.tenants.anonymous_users_api import router as anonymous_users_router
-from ee.onyx.server.tenants.billing_api import router as billing_router
-from ee.onyx.server.tenants.team_membership_api import router as team_membership_router
-from ee.onyx.server.tenants.tenant_management_api import (
-    router as tenant_management_router,
-)
-from ee.onyx.server.tenants.user_invitations_api import (
-    router as user_invitations_router,
-)
-from onyx.auth.users import current_user
-from onyx.auth.users import User
-from onyx.utils.logger import setup_logger
-from shared_configs.contextvars import get_current_tenant_id
-
-# from ee.onyx.server.tenants.provisioning import get_tenant_setup_status
-
-logger = setup_logger()
-
-# Create a main router to include all sub-routers
-router = APIRouter()
-
-# Include all the sub-routers
-router.include_router(admin_router)
-router.include_router(anonymous_users_router)
-router.include_router(billing_router)
-router.include_router(team_membership_router)
-router.include_router(tenant_management_router)
-router.include_router(user_invitations_router)
-
-
-class TenantSetupStatusResponse(BaseModel):
-    """Response model for tenant setup status."""
-
-    tenant_id: str
-    status: str
-    is_complete: bool
-
-
-# Add the setup status endpoint directly to the main router
-@router.get("/tenants/setup-status", response_model=TenantSetupStatusResponse)
-async def get_setup_status(
-    current_user: User = Depends(current_user),
-) -> TenantSetupStatusResponse:
-    """
-    Get the current setup status for the tenant.
-    This is used by the frontend to determine if the tenant setup is complete.
-    """
-    tenant_id = get_current_tenant_id()
-    if not tenant_id:
-        raise HTTPException(status_code=404, detail="Tenant not found")
-
-    # status = get_tenant_setup_status(tenant_id)
-
-    return TenantSetupStatusResponse(
-        tenant_id=tenant_id, status="completed", is_complete=True
-    )

backend/ee/onyx/server/tenants/schema_management.py

@@ -49,47 +49,6 @@ def run_alembic_migrations(schema_name: str) -> None:
         raise
 
 
-def run_essential_alembic_migrations(schema_name: str) -> None:
-    """
-    Run only the essential Alembic migrations up to the 465f78d9b7f9 revision.
-    This is used for the auth flow to complete quickly, with the rest of the migrations
-    and setup being deferred to run asynchronously.
-    """
-    logger.info(f"Starting essential Alembic migrations for schema: {schema_name}")
-
-    try:
-        current_dir = os.path.dirname(os.path.abspath(__file__))
-        root_dir = os.path.abspath(os.path.join(current_dir, "..", "..", "..", ".."))
-        alembic_ini_path = os.path.join(root_dir, "alembic.ini")
-
-        # Configure Alembic
-        alembic_cfg = Config(alembic_ini_path)
-        alembic_cfg.set_main_option("sqlalchemy.url", build_connection_string())
-        alembic_cfg.set_main_option(
-            "script_location", os.path.join(root_dir, "alembic")
-        )
-
-        # Ensure that logging isn't broken
-        alembic_cfg.attributes["configure_logger"] = False
-
-        # Mimic command-line options by adding 'cmd_opts' to the config
-        alembic_cfg.cmd_opts = SimpleNamespace()  # type: ignore
-        alembic_cfg.cmd_opts.x = [f"schema={schema_name}"]  # type: ignore
-
-        # Run migrations programmatically up to the specified revision
-        command.upgrade(alembic_cfg, "465f78d9b7f9")
-
-        logger.info(
-            f"Essential Alembic migrations completed successfully for schema: {schema_name}"
-        )
-
-    except Exception as e:
-        logger.exception(
-            f"Essential Alembic migration failed for schema {schema_name}: {str(e)}"
-        )
-        raise
-
-
 def create_schema_if_not_exists(tenant_id: str) -> bool:
     with Session(get_sqlalchemy_engine()) as db_session:
         with db_session.begin():

backend/ee/onyx/server/tenants/tenant_management_api.py

@@ -2,61 +2,38 @@ from fastapi import APIRouter
 from fastapi import Depends
 
 from ee.onyx.server.tenants.models import TenantByDomainResponse
-from onyx.auth.users import current_admin_user
+from ee.onyx.server.tenants.provisioning import get_tenant_by_domain_from_control_plane
+from onyx.auth.users import current_user
 from onyx.auth.users import User
 from onyx.utils.logger import setup_logger
 from shared_configs.contextvars import get_current_tenant_id
 
-# from ee.onyx.server.tenants.provisioning import get_tenant_by_domain_from_control_plane
-
 logger = setup_logger()
 
 router = APIRouter(prefix="/tenants")
 
-FORBIDDEN_COMMON_EMAIL_DOMAINS = [
-    "gmail.com",
-    "yahoo.com",
-    "hotmail.com",
-    "outlook.com",
-    "icloud.com",
-    "msn.com",
-    "live.com",
-    "msn.com",
-    "hotmail.com",
+FORBIDDEN_COMMON_EMAIL_SUBSTRINGS = [
+    "gmail",
+    "outlook",
+    "yahoo",
+    "hotmail",
+    "icloud",
+    "msn",
+    "hotmail",
     "hotmail.co.uk",
-    "hotmail.fr",
-    "hotmail.de",
-    "hotmail.it",
-    "hotmail.es",
-    "hotmail.nl",
-    "hotmail.pl",
-    "hotmail.pt",
-    "hotmail.ro",
-    "hotmail.ru",
-    "hotmail.sa",
-    "hotmail.se",
-    "hotmail.tr",
-    "hotmail.tw",
-    "hotmail.ua",
-    "hotmail.us",
-    "hotmail.vn",
-    "hotmail.za",
-    "hotmail.zw",
 ]
 
 
 @router.get("/existing-team-by-domain")
 def get_existing_tenant_by_domain(
-    user: User | None = Depends(current_admin_user),
+    user: User | None = Depends(current_user),
 ) -> TenantByDomainResponse | None:
     if not user:
         return None
     domain = user.email.split("@")[1]
-    if domain in FORBIDDEN_COMMON_EMAIL_DOMAINS:
+    if any(substring in domain for substring in FORBIDDEN_COMMON_EMAIL_SUBSTRINGS):
         return None
-    tenant_id = get_current_tenant_id()
-    return TenantByDomainResponse(
-        tenant_id=tenant_id, status="completed", is_complete=True
-    )
 
-    # return get_tenant_by_domain_from_control_plane(domain, tenant_id)
+    tenant_id = get_current_tenant_id()
+
+    return get_tenant_by_domain_from_control_plane(domain, tenant_id)

backend/ee/onyx/server/tenants/user_invitations_api.py

@@ -21,7 +21,7 @@ logger = setup_logger()
 router = APIRouter(prefix="/tenants")
 
 
-@router.post("/request-invite")
+@router.post("/users/invite/request")
 async def request_invite(
     invite_request: RequestInviteRequest,
     user: User | None = Depends(current_admin_user),
@@ -42,11 +42,10 @@ def list_pending_users(
     _: User | None = Depends(current_admin_user),
 ) -> list[PendingUserSnapshot]:
     pending_emails = get_pending_users()
-
     return [PendingUserSnapshot(email=email) for email in pending_emails]
 
 
-@router.post("/users/approve-invite")
+@router.post("/users/invite/approve")
 async def approve_user(
     approve_user_request: ApproveUserRequest,
     _: User | None = Depends(current_admin_user),
@@ -55,7 +54,7 @@ async def approve_user(
     approve_user_invite(approve_user_request.email, tenant_id)
 
 
-@router.post("/users/accept-invite")
+@router.post("/users/invite/accept")
 async def accept_invite(
     invite_request: RequestInviteRequest,
     user: User | None = Depends(current_user),
@@ -73,7 +72,7 @@ async def accept_invite(
         raise HTTPException(status_code=500, detail="Failed to accept invitation")
 
 
-@router.post("/users/deny-invite")
+@router.post("/users/invite/deny")
 async def deny_invite(
     invite_request: RequestInviteRequest,
     user: User | None = Depends(current_user),

backend/ee/onyx/server/tenants/user_mapping.py

@@ -1,27 +1,56 @@
-import logging
-
 from fastapi_users import exceptions
 from sqlalchemy import select
-from sqlalchemy.orm import Session
 
+from onyx.auth.invited_users import get_invited_users
+from onyx.auth.invited_users import get_pending_users
+from onyx.auth.invited_users import write_invited_users
+from onyx.auth.invited_users import write_pending_users
+from onyx.db.engine import get_session_with_shared_schema
 from onyx.db.engine import get_session_with_tenant
-from onyx.db.engine import get_sqlalchemy_engine
 from onyx.db.models import UserTenantMapping
+from onyx.server.manage.models import TenantSnapshot
+from onyx.setup import setup_logger
 from shared_configs.configs import MULTI_TENANT
 from shared_configs.configs import POSTGRES_DEFAULT_SCHEMA
+from shared_configs.contextvars import CURRENT_TENANT_ID_CONTEXTVAR
 
-logger = logging.getLogger(__name__)
+logger = setup_logger()
 
 
 def get_tenant_id_for_email(email: str) -> str:
     if not MULTI_TENANT:
         return POSTGRES_DEFAULT_SCHEMA
     # Implement logic to get tenant_id from the mapping table
-    with Session(get_sqlalchemy_engine()) as db_session:
-        result = db_session.execute(
-            select(UserTenantMapping.tenant_id).where(UserTenantMapping.email == email)
-        )
-        tenant_id = result.scalar_one_or_none()
+    try:
+        with get_session_with_shared_schema() as db_session:
+            # First try to get an active tenant
+            result = db_session.execute(
+                select(UserTenantMapping).where(
+                    UserTenantMapping.email == email,
+                    UserTenantMapping.active == True,  # noqa: E712
+                )
+            )
+            mapping = result.scalar_one_or_none()
+            tenant_id = mapping.tenant_id if mapping else None
+
+            # If no active tenant found, try to get the first inactive one
+            if tenant_id is None:
+                result = db_session.execute(
+                    select(UserTenantMapping).where(
+                        UserTenantMapping.email == email,
+                        UserTenantMapping.active == False,  # noqa: E712
+                    )
+                )
+                mapping = result.scalar_one_or_none()
+                if mapping:
+                    # Mark this mapping as active
+                    mapping.active = True
+                    db_session.commit()
+                    tenant_id = mapping.tenant_id
+
+    except Exception as e:
+        logger.exception(f"Error getting tenant id for email {email}: {e}")
+        raise exceptions.UserNotExists()
     if tenant_id is None:
         raise exceptions.UserNotExists()
     return tenant_id
@@ -41,7 +70,9 @@ def add_users_to_tenant(emails: list[str], tenant_id: str) -> None:
     with get_session_with_tenant(tenant_id=POSTGRES_DEFAULT_SCHEMA) as db_session:
         try:
             for email in emails:
-                db_session.add(UserTenantMapping(email=email, tenant_id=tenant_id))
+                db_session.add(
+                    UserTenantMapping(email=email, tenant_id=tenant_id, active=False)
+                )
         except Exception:
             logger.exception(f"Failed to add users to tenant {tenant_id}")
         db_session.commit()
@@ -76,3 +107,187 @@ def remove_all_users_from_tenant(tenant_id: str) -> None:
             UserTenantMapping.tenant_id == tenant_id
         ).delete()
         db_session.commit()
+
+
+def invite_self_to_tenant(email: str, tenant_id: str) -> None:
+    token = CURRENT_TENANT_ID_CONTEXTVAR.set(tenant_id)
+    try:
+        pending_users = get_pending_users()
+        if email in pending_users:
+            return
+        write_pending_users(pending_users + [email])
+    finally:
+        CURRENT_TENANT_ID_CONTEXTVAR.reset(token)
+
+
+def approve_user_invite(email: str, tenant_id: str) -> None:
+    """
+    Approve a user invite to a tenant.
+    This will delete all existing records for this email and create a new mapping entry for the user in this tenant.
+    """
+    with get_session_with_shared_schema() as db_session:
+        # Delete all existing records for this email
+        db_session.query(UserTenantMapping).filter(
+            UserTenantMapping.email == email
+        ).delete()
+
+        # Create a new mapping entry for the user in this tenant
+        new_mapping = UserTenantMapping(email=email, tenant_id=tenant_id, active=True)
+        db_session.add(new_mapping)
+        db_session.commit()
+
+    # Also remove the user from pending users list
+    # Remove from pending users
+    pending_users = get_pending_users()
+    if email in pending_users:
+        pending_users.remove(email)
+        write_pending_users(pending_users)
+
+    # Add to invited users
+    invited_users = get_invited_users()
+    if email not in invited_users:
+        invited_users.append(email)
+        write_invited_users(invited_users)
+
+
+def accept_user_invite(email: str, tenant_id: str) -> None:
+    """
+    Accept an invitation to join a tenant.
+    This activates the user's mapping to the tenant.
+    """
+    with get_session_with_shared_schema() as db_session:
+        try:
+            # First check if there's an active mapping for this user and tenant
+            active_mapping = (
+                db_session.query(UserTenantMapping)
+                .filter(
+                    UserTenantMapping.email == email,
+                    UserTenantMapping.active == True,  # noqa: E712
+                )
+                .first()
+            )
+
+            # If an active mapping exists, delete it
+            if active_mapping:
+                db_session.delete(active_mapping)
+                logger.info(
+                    f"Deleted existing active mapping for user {email} in tenant {tenant_id}"
+                )
+
+            # Find the inactive mapping for this user and tenant
+            mapping = (
+                db_session.query(UserTenantMapping)
+                .filter(
+                    UserTenantMapping.email == email,
+                    UserTenantMapping.tenant_id == tenant_id,
+                    UserTenantMapping.active == False,  # noqa: E712
+                )
+                .first()
+            )
+
+            if mapping:
+                # Set all other mappings for this user to inactive
+                db_session.query(UserTenantMapping).filter(
+                    UserTenantMapping.email == email,
+                    UserTenantMapping.active == True,  # noqa: E712
+                ).update({"active": False})
+
+                # Activate this mapping
+                mapping.active = True
+                db_session.commit()
+                logger.info(f"User {email} accepted invitation to tenant {tenant_id}")
+            else:
+                logger.warning(
+                    f"No invitation found for user {email} in tenant {tenant_id}"
+                )
+
+        except Exception as e:
+            db_session.rollback()
+            logger.exception(
+                f"Failed to accept invitation for user {email} to tenant {tenant_id}: {str(e)}"
+            )
+            raise
+
+
+def deny_user_invite(email: str, tenant_id: str) -> None:
+    """
+    Deny an invitation to join a tenant.
+    This removes the user's mapping to the tenant.
+    """
+    with get_session_with_shared_schema() as db_session:
+        # Delete the mapping for this user and tenant
+        result = (
+            db_session.query(UserTenantMapping)
+            .filter(
+                UserTenantMapping.email == email,
+                UserTenantMapping.tenant_id == tenant_id,
+                UserTenantMapping.active == False,  # noqa: E712
+            )
+            .delete()
+        )
+
+        db_session.commit()
+        if result:
+            logger.info(f"User {email} denied invitation to tenant {tenant_id}")
+        else:
+            logger.warning(
+                f"No invitation found for user {email} in tenant {tenant_id}"
+            )
+    token = CURRENT_TENANT_ID_CONTEXTVAR.set(tenant_id)
+    try:
+        pending_users = get_invited_users()
+        if email in pending_users:
+            pending_users.remove(email)
+            write_invited_users(pending_users)
+    finally:
+        CURRENT_TENANT_ID_CONTEXTVAR.reset(token)
+
+
+def get_tenant_count(tenant_id: str) -> int:
+    """
+    Get the number of active users for this tenant
+    """
+    with get_session_with_shared_schema() as db_session:
+        # Count the number of active users for this tenant
+        user_count = (
+            db_session.query(UserTenantMapping)
+            .filter(
+                UserTenantMapping.tenant_id == tenant_id,
+                UserTenantMapping.active == True,  # noqa: E712
+            )
+            .count()
+        )
+
+        return user_count
+
+
+def get_tenant_invitation(email: str) -> TenantSnapshot | None:
+    """
+    Get the first tenant invitation for this user
+    """
+    with get_session_with_shared_schema() as db_session:
+        # Get the first tenant invitation for this user
+        invitation = (
+            db_session.query(UserTenantMapping)
+            .filter(
+                UserTenantMapping.email == email,
+                UserTenantMapping.active == False,  # noqa: E712
+            )
+            .first()
+        )
+
+        if invitation:
+            # Get the user count for this tenant
+            user_count = (
+                db_session.query(UserTenantMapping)
+                .filter(
+                    UserTenantMapping.tenant_id == invitation.tenant_id,
+                    UserTenantMapping.active == True,  # noqa: E712
+                )
+                .count()
+            )
+            return TenantSnapshot(
+                tenant_id=invitation.tenant_id, number_of_users=user_count
+            )
+
+        return None

backend/model_server/encoders.py

@@ -62,6 +62,60 @@ _OPENAI_MAX_INPUT_LEN = 2048
 # Cohere allows up to 96 embeddings in a single embedding calling
 _COHERE_MAX_INPUT_LEN = 96
 
+# Authentication error string constants
+_AUTH_ERROR_401 = "401"
+_AUTH_ERROR_UNAUTHORIZED = "unauthorized"
+_AUTH_ERROR_INVALID_API_KEY = "invalid api key"
+_AUTH_ERROR_PERMISSION = "permission"
+
+
+def is_authentication_error(error: Exception) -> bool:
+    """Check if an exception is related to authentication issues.
+
+    Args:
+        error: The exception to check
+
+    Returns:
+        bool: True if the error appears to be authentication-related
+    """
+    error_str = str(error).lower()
+    return (
+        _AUTH_ERROR_401 in error_str
+        or _AUTH_ERROR_UNAUTHORIZED in error_str
+        or _AUTH_ERROR_INVALID_API_KEY in error_str
+        or _AUTH_ERROR_PERMISSION in error_str
+    )
+
+
+def format_embedding_error(
+    error: Exception,
+    service_name: str,
+    model: str | None,
+    provider: EmbeddingProvider,
+    status_code: int | None = None,
+) -> str:
+    """
+    Format a standardized error string for embedding errors.
+    """
+    detail = f"Status {status_code}" if status_code else f"{type(error)}"
+
+    return (
+        f"{'HTTP error' if status_code else 'Exception'} embedding text with {service_name} - {detail}: "
+        f"Model: {model} "
+        f"Provider: {provider} "
+        f"Exception: {error}"
+    )
+
+
+# Custom exception for authentication errors
+class AuthenticationError(Exception):
+    """Raised when authentication fails with a provider."""
+
+    def __init__(self, provider: str, message: str = "API key is invalid or expired"):
+        self.provider = provider
+        self.message = message
+        super().__init__(f"{provider} authentication failed: {message}")
+
 
 class CloudEmbedding:
     def __init__(
@@ -92,31 +146,17 @@ class CloudEmbedding:
         )
 
         final_embeddings: list[Embedding] = []
-        try:
-            for text_batch in batch_list(texts, _OPENAI_MAX_INPUT_LEN):
-                response = await client.embeddings.create(
-                    input=text_batch,
-                    model=model,
-                    dimensions=reduced_dimension or openai.NOT_GIVEN,
-                )
-                final_embeddings.extend(
-                    [embedding.embedding for embedding in response.data]
-                )
-            return final_embeddings
-        except Exception as e:
-            error_string = (
-                f"Exception embedding text with OpenAI - {type(e)}: "
-                f"Model: {model} "
-                f"Provider: {self.provider} "
-                f"Exception: {e}"
+
+        for text_batch in batch_list(texts, _OPENAI_MAX_INPUT_LEN):
+            response = await client.embeddings.create(
+                input=text_batch,
+                model=model,
+                dimensions=reduced_dimension or openai.NOT_GIVEN,
             )
-            logger.error(error_string)
-
-            # only log text when it's not an authentication error.
-            if not isinstance(e, openai.AuthenticationError):
-                logger.debug(f"Exception texts: {texts}")
-
-            raise RuntimeError(error_string)
+            final_embeddings.extend(
+                [embedding.embedding for embedding in response.data]
+            )
+        return final_embeddings
 
     async def _embed_cohere(
         self, texts: list[str], model: str | None, embedding_type: str
@@ -155,7 +195,6 @@ class CloudEmbedding:
             input_type=embedding_type,
             truncation=True,
         )
-
         return response.embeddings
 
     async def _embed_azure(
@@ -239,22 +278,51 @@ class CloudEmbedding:
         deployment_name: str | None = None,
         reduced_dimension: int | None = None,
     ) -> list[Embedding]:
-        if self.provider == EmbeddingProvider.OPENAI:
-            return await self._embed_openai(texts, model_name, reduced_dimension)
-        elif self.provider == EmbeddingProvider.AZURE:
-            return await self._embed_azure(texts, f"azure/{deployment_name}")
-        elif self.provider == EmbeddingProvider.LITELLM:
-            return await self._embed_litellm_proxy(texts, model_name)
+        try:
+            if self.provider == EmbeddingProvider.OPENAI:
+                return await self._embed_openai(texts, model_name, reduced_dimension)
+            elif self.provider == EmbeddingProvider.AZURE:
+                return await self._embed_azure(texts, f"azure/{deployment_name}")
+            elif self.provider == EmbeddingProvider.LITELLM:
+                return await self._embed_litellm_proxy(texts, model_name)
 
-        embedding_type = EmbeddingModelTextType.get_type(self.provider, text_type)
-        if self.provider == EmbeddingProvider.COHERE:
-            return await self._embed_cohere(texts, model_name, embedding_type)
-        elif self.provider == EmbeddingProvider.VOYAGE:
-            return await self._embed_voyage(texts, model_name, embedding_type)
-        elif self.provider == EmbeddingProvider.GOOGLE:
-            return await self._embed_vertex(texts, model_name, embedding_type)
-        else:
-            raise ValueError(f"Unsupported provider: {self.provider}")
+            embedding_type = EmbeddingModelTextType.get_type(self.provider, text_type)
+            if self.provider == EmbeddingProvider.COHERE:
+                return await self._embed_cohere(texts, model_name, embedding_type)
+            elif self.provider == EmbeddingProvider.VOYAGE:
+                return await self._embed_voyage(texts, model_name, embedding_type)
+            elif self.provider == EmbeddingProvider.GOOGLE:
+                return await self._embed_vertex(texts, model_name, embedding_type)
+            else:
+                raise ValueError(f"Unsupported provider: {self.provider}")
+        except openai.AuthenticationError:
+            raise AuthenticationError(provider="OpenAI")
+        except httpx.HTTPStatusError as e:
+            if e.response.status_code == 401:
+                raise AuthenticationError(provider=str(self.provider))
+
+            error_string = format_embedding_error(
+                e,
+                str(self.provider),
+                model_name or deployment_name,
+                self.provider,
+                status_code=e.response.status_code,
+            )
+            logger.error(error_string)
+            logger.debug(f"Exception texts: {texts}")
+
+            raise RuntimeError(error_string)
+        except Exception as e:
+            if is_authentication_error(e):
+                raise AuthenticationError(provider=str(self.provider))
+
+            error_string = format_embedding_error(
+                e, str(self.provider), model_name or deployment_name, self.provider
+            )
+            logger.error(error_string)
+            logger.debug(f"Exception texts: {texts}")
+
+            raise RuntimeError(error_string)
 
     @staticmethod
     def create(
@@ -569,6 +637,13 @@ async def process_embed_request(
             gpu_type=gpu_type,
         )
         return EmbedResponse(embeddings=embeddings)
+    except AuthenticationError as e:
+        # Handle authentication errors consistently
+        logger.error(f"Authentication error: {e.provider}")
+        raise HTTPException(
+            status_code=401,
+            detail=f"Authentication failed: {e.message}",
+        )
     except RateLimitError as e:
         raise HTTPException(
             status_code=429,

backend/onyx/agents/agent_search/deep_search/initial/generate_individual_sub_answer/nodes/check_sub_answer.py

@@ -31,6 +31,7 @@ from onyx.agents.agent_search.shared_graph_utils.utils import (
     get_langgraph_node_log_string,
 )
 from onyx.agents.agent_search.shared_graph_utils.utils import parse_question_id
+from onyx.configs.agent_configs import AGENT_MAX_TOKENS_VALIDATION
 from onyx.configs.agent_configs import AGENT_TIMEOUT_CONNECT_LLM_SUBANSWER_CHECK
 from onyx.configs.agent_configs import AGENT_TIMEOUT_LLM_SUBANSWER_CHECK
 from onyx.llm.chat_llm import LLMRateLimitError
@@ -92,6 +93,7 @@ def check_sub_answer(
             fast_llm.invoke,
             prompt=msg,
             timeout_override=AGENT_TIMEOUT_CONNECT_LLM_SUBANSWER_CHECK,
+            max_tokens=AGENT_MAX_TOKENS_VALIDATION,
         )
 
         quality_str: str = cast(str, response.content)

backend/onyx/agents/agent_search/deep_search/initial/generate_individual_sub_answer/nodes/generate_sub_answer.py

@@ -46,6 +46,7 @@ from onyx.chat.models import StreamStopInfo
 from onyx.chat.models import StreamStopReason
 from onyx.chat.models import StreamType
 from onyx.configs.agent_configs import AGENT_MAX_ANSWER_CONTEXT_DOCS
+from onyx.configs.agent_configs import AGENT_MAX_TOKENS_SUBANSWER_GENERATION
 from onyx.configs.agent_configs import AGENT_TIMEOUT_CONNECT_LLM_SUBANSWER_GENERATION
 from onyx.configs.agent_configs import AGENT_TIMEOUT_LLM_SUBANSWER_GENERATION
 from onyx.llm.chat_llm import LLMRateLimitError
@@ -119,6 +120,7 @@ def generate_sub_answer(
             for message in fast_llm.stream(
                 prompt=msg,
                 timeout_override=AGENT_TIMEOUT_CONNECT_LLM_SUBANSWER_GENERATION,
+                max_tokens=AGENT_MAX_TOKENS_SUBANSWER_GENERATION,
             ):
                 # TODO: in principle, the answer here COULD contain images, but we don't support that yet
                 content = message.content

backend/onyx/agents/agent_search/deep_search/initial/generate_initial_answer/nodes/generate_initial_answer.py

@@ -43,6 +43,7 @@ from onyx.agents.agent_search.shared_graph_utils.models import LLMNodeErrorStrin
 from onyx.agents.agent_search.shared_graph_utils.operators import (
     dedup_inference_section_list,
 )
+from onyx.agents.agent_search.shared_graph_utils.utils import _should_restrict_tokens
 from onyx.agents.agent_search.shared_graph_utils.utils import (
     dispatch_main_answer_stop_info,
 )
@@ -62,6 +63,7 @@ from onyx.chat.models import StreamingError
 from onyx.configs.agent_configs import AGENT_ANSWER_GENERATION_BY_FAST_LLM
 from onyx.configs.agent_configs import AGENT_MAX_ANSWER_CONTEXT_DOCS
 from onyx.configs.agent_configs import AGENT_MAX_STREAMED_DOCS_FOR_INITIAL_ANSWER
+from onyx.configs.agent_configs import AGENT_MAX_TOKENS_ANSWER_GENERATION
 from onyx.configs.agent_configs import AGENT_MIN_ORIG_QUESTION_DOCS
 from onyx.configs.agent_configs import (
     AGENT_TIMEOUT_CONNECT_LLM_INITIAL_ANSWER_GENERATION,
@@ -153,8 +155,9 @@ def generate_initial_answer(
     )
     for tool_response in yield_search_responses(
         query=question,
-        reranked_sections=answer_generation_documents.streaming_documents,
-        final_context_sections=answer_generation_documents.context_documents,
+        get_retrieved_sections=lambda: answer_generation_documents.context_documents,
+        get_reranked_sections=lambda: answer_generation_documents.streaming_documents,
+        get_final_context_sections=lambda: answer_generation_documents.context_documents,
         search_query_info=query_info,
         get_section_relevance=lambda: relevance_list,
         search_tool=graph_config.tooling.search_tool,
@@ -278,6 +281,9 @@ def generate_initial_answer(
             for message in model.stream(
                 msg,
                 timeout_override=AGENT_TIMEOUT_CONNECT_LLM_INITIAL_ANSWER_GENERATION,
+                max_tokens=AGENT_MAX_TOKENS_ANSWER_GENERATION
+                if _should_restrict_tokens(model.config)
+                else None,
             ):
                 # TODO: in principle, the answer here COULD contain images, but we don't support that yet
                 content = message.content

backend/onyx/agents/agent_search/deep_search/initial/generate_sub_answers/nodes/decompose_orig_question.py

@@ -34,6 +34,7 @@ from onyx.chat.models import StreamStopInfo
 from onyx.chat.models import StreamStopReason
 from onyx.chat.models import StreamType
 from onyx.chat.models import SubQuestionPiece
+from onyx.configs.agent_configs import AGENT_MAX_TOKENS_SUBQUESTION_GENERATION
 from onyx.configs.agent_configs import AGENT_NUM_DOCS_FOR_DECOMPOSITION
 from onyx.configs.agent_configs import (
     AGENT_TIMEOUT_CONNECT_LLM_SUBQUESTION_GENERATION,
@@ -141,6 +142,7 @@ def decompose_orig_question(
             model.stream(
                 msg,
                 timeout_override=AGENT_TIMEOUT_CONNECT_LLM_SUBQUESTION_GENERATION,
+                max_tokens=AGENT_MAX_TOKENS_SUBQUESTION_GENERATION,
             ),
             dispatch_subquestion(0, writer),
             sep_callback=dispatch_subquestion_sep(0, writer),

backend/onyx/agents/agent_search/deep_search/main/nodes/compare_answers.py

@@ -33,6 +33,7 @@ from onyx.agents.agent_search.shared_graph_utils.utils import (
 )
 from onyx.agents.agent_search.shared_graph_utils.utils import write_custom_event
 from onyx.chat.models import RefinedAnswerImprovement
+from onyx.configs.agent_configs import AGENT_MAX_TOKENS_VALIDATION
 from onyx.configs.agent_configs import AGENT_TIMEOUT_CONNECT_LLM_COMPARE_ANSWERS
 from onyx.configs.agent_configs import AGENT_TIMEOUT_LLM_COMPARE_ANSWERS
 from onyx.llm.chat_llm import LLMRateLimitError
@@ -112,6 +113,7 @@ def compare_answers(
             model.invoke,
             prompt=msg,
             timeout_override=AGENT_TIMEOUT_CONNECT_LLM_COMPARE_ANSWERS,
+            max_tokens=AGENT_MAX_TOKENS_VALIDATION,
         )
 
     except (LLMTimeoutError, TimeoutError):

backend/onyx/agents/agent_search/deep_search/main/nodes/create_refined_sub_questions.py

@@ -43,6 +43,7 @@ from onyx.agents.agent_search.shared_graph_utils.utils import (
 from onyx.agents.agent_search.shared_graph_utils.utils import make_question_id
 from onyx.agents.agent_search.shared_graph_utils.utils import write_custom_event
 from onyx.chat.models import StreamingError
+from onyx.configs.agent_configs import AGENT_MAX_TOKENS_SUBQUESTION_GENERATION
 from onyx.configs.agent_configs import (
     AGENT_TIMEOUT_CONNECT_LLM_REFINED_SUBQUESTION_GENERATION,
 )
@@ -144,6 +145,7 @@ def create_refined_sub_questions(
             model.stream(
                 msg,
                 timeout_override=AGENT_TIMEOUT_CONNECT_LLM_REFINED_SUBQUESTION_GENERATION,
+                max_tokens=AGENT_MAX_TOKENS_SUBQUESTION_GENERATION,
             ),
             dispatch_subquestion(1, writer),
             sep_callback=dispatch_subquestion_sep(1, writer),

backend/onyx/agents/agent_search/deep_search/main/nodes/decide_refinement_need.py

@@ -50,13 +50,7 @@ def decide_refinement_need(
         )
     ]
 
-    if graph_config.behavior.allow_refinement:
-        return RequireRefinemenEvalUpdate(
-            require_refined_answer_eval=decision,
-            log_messages=log_messages,
-        )
-    else:
-        return RequireRefinemenEvalUpdate(
-            require_refined_answer_eval=False,
-            log_messages=log_messages,
-        )
+    return RequireRefinemenEvalUpdate(
+        require_refined_answer_eval=graph_config.behavior.allow_refinement and decision,
+        log_messages=log_messages,
+    )

backend/onyx/agents/agent_search/deep_search/main/nodes/extract_entities_terms.py

@@ -21,6 +21,7 @@ from onyx.agents.agent_search.shared_graph_utils.utils import format_docs
 from onyx.agents.agent_search.shared_graph_utils.utils import (
     get_langgraph_node_log_string,
 )
+from onyx.configs.agent_configs import AGENT_MAX_TOKENS_ENTITY_TERM_EXTRACTION
 from onyx.configs.agent_configs import (
     AGENT_TIMEOUT_CONNECT_LLM_ENTITY_TERM_EXTRACTION,
 )
@@ -96,6 +97,7 @@ def extract_entities_terms(
             fast_llm.invoke,
             prompt=msg,
             timeout_override=AGENT_TIMEOUT_CONNECT_LLM_ENTITY_TERM_EXTRACTION,
+            max_tokens=AGENT_MAX_TOKENS_ENTITY_TERM_EXTRACTION,
         )
 
         cleaned_response = (

backend/onyx/agents/agent_search/deep_search/main/nodes/generate_validate_refined_answer.py

@@ -46,6 +46,7 @@ from onyx.agents.agent_search.shared_graph_utils.models import RefinedAgentStats
 from onyx.agents.agent_search.shared_graph_utils.operators import (
     dedup_inference_section_list,
 )
+from onyx.agents.agent_search.shared_graph_utils.utils import _should_restrict_tokens
 from onyx.agents.agent_search.shared_graph_utils.utils import (
     dispatch_main_answer_stop_info,
 )
@@ -68,6 +69,8 @@ from onyx.chat.models import StreamingError
 from onyx.configs.agent_configs import AGENT_ANSWER_GENERATION_BY_FAST_LLM
 from onyx.configs.agent_configs import AGENT_MAX_ANSWER_CONTEXT_DOCS
 from onyx.configs.agent_configs import AGENT_MAX_STREAMED_DOCS_FOR_REFINED_ANSWER
+from onyx.configs.agent_configs import AGENT_MAX_TOKENS_ANSWER_GENERATION
+from onyx.configs.agent_configs import AGENT_MAX_TOKENS_VALIDATION
 from onyx.configs.agent_configs import AGENT_MIN_ORIG_QUESTION_DOCS
 from onyx.configs.agent_configs import (
     AGENT_TIMEOUT_CONNECT_LLM_REFINED_ANSWER_GENERATION,
@@ -179,8 +182,9 @@ def generate_validate_refined_answer(
     )
     for tool_response in yield_search_responses(
         query=question,
-        reranked_sections=answer_generation_documents.streaming_documents,
-        final_context_sections=answer_generation_documents.context_documents,
+        get_retrieved_sections=lambda: answer_generation_documents.context_documents,
+        get_reranked_sections=lambda: answer_generation_documents.streaming_documents,
+        get_final_context_sections=lambda: answer_generation_documents.context_documents,
         search_query_info=query_info,
         get_section_relevance=lambda: relevance_list,
         search_tool=graph_config.tooling.search_tool,
@@ -302,7 +306,11 @@ def generate_validate_refined_answer(
 
     def stream_refined_answer() -> list[str]:
         for message in model.stream(
-            msg, timeout_override=AGENT_TIMEOUT_CONNECT_LLM_REFINED_ANSWER_GENERATION
+            msg,
+            timeout_override=AGENT_TIMEOUT_CONNECT_LLM_REFINED_ANSWER_GENERATION,
+            max_tokens=AGENT_MAX_TOKENS_ANSWER_GENERATION
+            if _should_restrict_tokens(model.config)
+            else None,
         ):
             # TODO: in principle, the answer here COULD contain images, but we don't support that yet
             content = message.content
@@ -409,6 +417,7 @@ def generate_validate_refined_answer(
             validation_model.invoke,
             prompt=msg,
             timeout_override=AGENT_TIMEOUT_CONNECT_LLM_REFINED_ANSWER_VALIDATION,
+            max_tokens=AGENT_MAX_TOKENS_VALIDATION,
         )
         refined_answer_quality = binary_string_test_after_answer_separator(
             text=cast(str, validation_response.content),

backend/onyx/agents/agent_search/deep_search/main/operations.py

@@ -13,7 +13,6 @@ from onyx.chat.models import StreamStopInfo
 from onyx.chat.models import StreamStopReason
 from onyx.chat.models import StreamType
 from onyx.chat.models import SubQuestionPiece
-from onyx.context.search.models import IndexFilters
 from onyx.tools.models import SearchQueryInfo
 from onyx.utils.logger import setup_logger
 
@@ -144,8 +143,6 @@ def get_query_info(results: list[QueryRetrievalResult]) -> SearchQueryInfo:
         if result.query_info is not None:
             query_info = result.query_info
             break
-    return query_info or SearchQueryInfo(
-        predicted_search=None,
-        final_filters=IndexFilters(access_control_list=None),
-        recency_bias_multiplier=1.0,
-    )
+
+    assert query_info is not None, "must have query info"
+    return query_info

backend/onyx/agents/agent_search/deep_search/shared/expanded_retrieval/nodes/expand_queries.py

@@ -33,6 +33,7 @@ from onyx.agents.agent_search.shared_graph_utils.utils import (
     get_langgraph_node_log_string,
 )
 from onyx.agents.agent_search.shared_graph_utils.utils import parse_question_id
+from onyx.configs.agent_configs import AGENT_MAX_TOKENS_SUBQUERY_GENERATION
 from onyx.configs.agent_configs import (
     AGENT_TIMEOUT_CONNECT_LLM_QUERY_REWRITING_GENERATION,
 )
@@ -96,6 +97,7 @@ def expand_queries(
             model.stream(
                 prompt=msg,
                 timeout_override=AGENT_TIMEOUT_CONNECT_LLM_QUERY_REWRITING_GENERATION,
+                max_tokens=AGENT_MAX_TOKENS_SUBQUERY_GENERATION,
             ),
             dispatch_subquery(level, question_num, writer),
         )

backend/onyx/agents/agent_search/deep_search/shared/expanded_retrieval/nodes/format_results.py

@@ -56,8 +56,9 @@ def format_results(
         relevance_list = relevance_from_docs(reranked_documents)
         for tool_response in yield_search_responses(
             query=state.question,
-            reranked_sections=state.retrieved_documents,
-            final_context_sections=reranked_documents,
+            get_retrieved_sections=lambda: reranked_documents,
+            get_reranked_sections=lambda: state.retrieved_documents,
+            get_final_context_sections=lambda: reranked_documents,
             search_query_info=query_info,
             get_section_relevance=lambda: relevance_list,
             search_tool=graph_config.tooling.search_tool,

backend/onyx/agents/agent_search/deep_search/shared/expanded_retrieval/nodes/retrieve_documents.py

@@ -91,7 +91,7 @@ def retrieve_documents(
     retrieved_docs = retrieved_docs[:AGENT_MAX_QUERY_RETRIEVAL_RESULTS]
 
     if AGENT_RETRIEVAL_STATS:
-        pre_rerank_docs = callback_container[0]
+        pre_rerank_docs = callback_container[0] if callback_container else []
         fit_scores = get_fit_scores(
             pre_rerank_docs,
             retrieved_docs,

backend/onyx/agents/agent_search/deep_search/shared/expanded_retrieval/nodes/verify_documents.py

@@ -25,6 +25,7 @@ from onyx.agents.agent_search.shared_graph_utils.models import LLMNodeErrorStrin
 from onyx.agents.agent_search.shared_graph_utils.utils import (
     get_langgraph_node_log_string,
 )
+from onyx.configs.agent_configs import AGENT_MAX_TOKENS_VALIDATION
 from onyx.configs.agent_configs import AGENT_TIMEOUT_CONNECT_LLM_DOCUMENT_VERIFICATION
 from onyx.configs.agent_configs import AGENT_TIMEOUT_LLM_DOCUMENT_VERIFICATION
 from onyx.llm.chat_llm import LLMRateLimitError
@@ -93,6 +94,7 @@ def verify_documents(
             fast_llm.invoke,
             prompt=msg,
             timeout_override=AGENT_TIMEOUT_CONNECT_LLM_DOCUMENT_VERIFICATION,
+            max_tokens=AGENT_MAX_TOKENS_VALIDATION,
         )
 
         assert isinstance(response.content, str)

backend/onyx/agents/agent_search/orchestration/nodes/call_tool.py

@@ -44,7 +44,9 @@ def call_tool(
     tool = tool_choice.tool
     tool_args = tool_choice.tool_args
     tool_id = tool_choice.id
-    tool_runner = ToolRunner(tool, tool_args)
+    tool_runner = ToolRunner(
+        tool, tool_args, override_kwargs=tool_choice.search_tool_override_kwargs
+    )
     tool_kickoff = tool_runner.kickoff()
 
     emit_packet(tool_kickoff, writer)

backend/onyx/agents/agent_search/orchestration/nodes/choose_tool.py

@@ -15,8 +15,17 @@ from onyx.chat.tool_handling.tool_response_handler import get_tool_by_name
 from onyx.chat.tool_handling.tool_response_handler import (
     get_tool_call_for_non_tool_calling_llm_impl,
 )
+from onyx.context.search.preprocessing.preprocessing import query_analysis
+from onyx.context.search.retrieval.search_runner import get_query_embedding
+from onyx.tools.models import SearchToolOverrideKwargs
 from onyx.tools.tool import Tool
+from onyx.tools.tool_implementations.search.search_tool import SearchTool
 from onyx.utils.logger import setup_logger
+from onyx.utils.threadpool_concurrency import run_in_background
+from onyx.utils.threadpool_concurrency import TimeoutThread
+from onyx.utils.threadpool_concurrency import wait_on_background
+from onyx.utils.timing import log_function_time
+from shared_configs.model_server_models import Embedding
 
 logger = setup_logger()
 
@@ -25,6 +34,7 @@ logger = setup_logger()
 # and a function that handles extracting the necessary fields
 # from the state and config
 # TODO: fan-out to multiple tool call nodes? Make this configurable?
+@log_function_time(print_only=True)
 def choose_tool(
     state: ToolChoiceState,
     config: RunnableConfig,
@@ -37,6 +47,31 @@ def choose_tool(
     should_stream_answer = state.should_stream_answer
 
     agent_config = cast(GraphConfig, config["metadata"]["config"])
+
+    force_use_tool = agent_config.tooling.force_use_tool
+
+    embedding_thread: TimeoutThread[Embedding] | None = None
+    keyword_thread: TimeoutThread[tuple[bool, list[str]]] | None = None
+    override_kwargs: SearchToolOverrideKwargs | None = None
+    if (
+        not agent_config.behavior.use_agentic_search
+        and agent_config.tooling.search_tool is not None
+        and (
+            not force_use_tool.force_use or force_use_tool.tool_name == SearchTool.name
+        )
+    ):
+        override_kwargs = SearchToolOverrideKwargs()
+        # Run in a background thread to avoid blocking the main thread
+        embedding_thread = run_in_background(
+            get_query_embedding,
+            agent_config.inputs.search_request.query,
+            agent_config.persistence.db_session,
+        )
+        keyword_thread = run_in_background(
+            query_analysis,
+            agent_config.inputs.search_request.query,
+        )
+
     using_tool_calling_llm = agent_config.tooling.using_tool_calling_llm
     prompt_builder = state.prompt_snapshot or agent_config.inputs.prompt_builder
 
@@ -47,7 +82,6 @@ def choose_tool(
     tools = [
         tool for tool in (agent_config.tooling.tools or []) if tool.name in state.tools
     ]
-    force_use_tool = agent_config.tooling.force_use_tool
 
     tool, tool_args = None, None
     if force_use_tool.force_use and force_use_tool.args is not None:
@@ -71,11 +105,22 @@ def choose_tool(
     # If we have a tool and tool args, we are ready to request a tool call.
     # This only happens if the tool call was forced or we are using a non-tool calling LLM.
     if tool and tool_args:
+        if embedding_thread and tool.name == SearchTool._NAME:
+            # Wait for the embedding thread to finish
+            embedding = wait_on_background(embedding_thread)
+            assert override_kwargs is not None, "must have override kwargs"
+            override_kwargs.precomputed_query_embedding = embedding
+        if keyword_thread and tool.name == SearchTool._NAME:
+            is_keyword, keywords = wait_on_background(keyword_thread)
+            assert override_kwargs is not None, "must have override kwargs"
+            override_kwargs.precomputed_is_keyword = is_keyword
+            override_kwargs.precomputed_keywords = keywords
         return ToolChoiceUpdate(
             tool_choice=ToolChoice(
                 tool=tool,
                 tool_args=tool_args,
                 id=str(uuid4()),
+                search_tool_override_kwargs=override_kwargs,
             ),
         )
 
@@ -153,10 +198,22 @@ def choose_tool(
     logger.debug(f"Selected tool: {selected_tool.name}")
     logger.debug(f"Selected tool call request: {selected_tool_call_request}")
 
+    if embedding_thread and selected_tool.name == SearchTool._NAME:
+        # Wait for the embedding thread to finish
+        embedding = wait_on_background(embedding_thread)
+        assert override_kwargs is not None, "must have override kwargs"
+        override_kwargs.precomputed_query_embedding = embedding
+    if keyword_thread and selected_tool.name == SearchTool._NAME:
+        is_keyword, keywords = wait_on_background(keyword_thread)
+        assert override_kwargs is not None, "must have override kwargs"
+        override_kwargs.precomputed_is_keyword = is_keyword
+        override_kwargs.precomputed_keywords = keywords
+
     return ToolChoiceUpdate(
         tool_choice=ToolChoice(
             tool=selected_tool,
             tool_args=selected_tool_call_request["args"],
             id=selected_tool_call_request["id"],
+            search_tool_override_kwargs=override_kwargs,
         ),
     )

backend/onyx/agents/agent_search/orchestration/nodes/use_tool_response.py

@@ -9,18 +9,23 @@ from onyx.agents.agent_search.basic.states import BasicState
 from onyx.agents.agent_search.basic.utils import process_llm_stream
 from onyx.agents.agent_search.models import GraphConfig
 from onyx.chat.models import LlmDoc
-from onyx.chat.models import OnyxContexts
 from onyx.tools.tool_implementations.search.search_tool import (
-    SEARCH_DOC_CONTENT_ID,
+    SEARCH_RESPONSE_SUMMARY_ID,
+)
+from onyx.tools.tool_implementations.search.search_tool import SearchResponseSummary
+from onyx.tools.tool_implementations.search.search_utils import (
+    context_from_inference_section,
 )
 from onyx.tools.tool_implementations.search_like_tool_utils import (
     FINAL_CONTEXT_DOCUMENTS_ID,
 )
 from onyx.utils.logger import setup_logger
+from onyx.utils.timing import log_function_time
 
 logger = setup_logger()
 
 
+@log_function_time(print_only=True)
 def basic_use_tool_response(
     state: BasicState, config: RunnableConfig, writer: StreamWriter = lambda _: None
 ) -> BasicOutput:
@@ -50,11 +55,13 @@ def basic_use_tool_response(
     for yield_item in tool_call_responses:
         if yield_item.id == FINAL_CONTEXT_DOCUMENTS_ID:
             final_search_results = cast(list[LlmDoc], yield_item.response)
-        elif yield_item.id == SEARCH_DOC_CONTENT_ID:
-            search_contexts = cast(OnyxContexts, yield_item.response).contexts
-            for doc in search_contexts:
-                if doc.document_id not in initial_search_results:
-                    initial_search_results.append(doc)
+        elif yield_item.id == SEARCH_RESPONSE_SUMMARY_ID:
+            search_response_summary = cast(SearchResponseSummary, yield_item.response)
+            for section in search_response_summary.top_sections:
+                if section.center_chunk.document_id not in initial_search_results:
+                    initial_search_results.append(
+                        context_from_inference_section(section)
+                    )
 
     new_tool_call_chunk = AIMessageChunk(content="")
     if not agent_config.behavior.skip_gen_ai_answer_generation:

backend/onyx/agents/agent_search/orchestration/states.py

@@ -2,6 +2,7 @@ from pydantic import BaseModel
 
 from onyx.chat.prompt_builder.answer_prompt_builder import PromptSnapshot
 from onyx.tools.message import ToolCallSummary
+from onyx.tools.models import SearchToolOverrideKwargs
 from onyx.tools.models import ToolCallFinalResult
 from onyx.tools.models import ToolCallKickoff
 from onyx.tools.models import ToolResponse
@@ -35,6 +36,7 @@ class ToolChoice(BaseModel):
     tool: Tool
     tool_args: dict
     id: str | None
+    search_tool_override_kwargs: SearchToolOverrideKwargs | None = None
 
     class Config:
         arbitrary_types_allowed = True

backend/onyx/agents/agent_search/shared_graph_utils/constants.py

@@ -13,6 +13,11 @@ AGENT_NEGATIVE_VALUE_STR = "no"
 AGENT_ANSWER_SEPARATOR = "Answer:"
 
 
+EMBEDDING_KEY = "embedding"
+IS_KEYWORD_KEY = "is_keyword"
+KEYWORDS_KEY = "keywords"
+
+
 class AgentLLMErrorType(str, Enum):
     TIMEOUT = "timeout"
     RATE_LIMIT = "rate_limit"

backend/onyx/agents/agent_search/shared_graph_utils/utils.py

@@ -42,6 +42,7 @@ from onyx.chat.models import StreamStopInfo
 from onyx.chat.models import StreamStopReason
 from onyx.chat.models import StreamType
 from onyx.chat.prompt_builder.answer_prompt_builder import AnswerPromptBuilder
+from onyx.configs.agent_configs import AGENT_MAX_TOKENS_HISTORY_SUMMARY
 from onyx.configs.agent_configs import (
     AGENT_TIMEOUT_CONNECT_LLM_HISTORY_SUMMARY_GENERATION,
 )
@@ -61,6 +62,7 @@ from onyx.db.persona import Persona
 from onyx.llm.chat_llm import LLMRateLimitError
 from onyx.llm.chat_llm import LLMTimeoutError
 from onyx.llm.interfaces import LLM
+from onyx.llm.interfaces import LLMConfig
 from onyx.prompts.agent_search import (
     ASSISTANT_SYSTEM_PROMPT_DEFAULT,
 )
@@ -402,6 +404,7 @@ def summarize_history(
             llm.invoke,
             history_context_prompt,
             timeout_override=AGENT_TIMEOUT_CONNECT_LLM_HISTORY_SUMMARY_GENERATION,
+            max_tokens=AGENT_MAX_TOKENS_HISTORY_SUMMARY,
         )
     except (LLMTimeoutError, TimeoutError):
         logger.error("LLM Timeout Error - summarize history")
@@ -505,3 +508,9 @@ def get_deduplicated_structured_subquestion_documents(
         cited_documents=dedup_inference_section_list(cited_docs),
         context_documents=dedup_inference_section_list(context_docs),
     )
+
+
+def _should_restrict_tokens(llm_config: LLMConfig) -> bool:
+    return not (
+        llm_config.model_provider == "openai" and llm_config.model_name.startswith("o")
+    )

backend/onyx/auth/email_utils.py

@@ -153,7 +153,8 @@ def send_email(
     msg = MIMEMultipart("alternative")
     msg["Subject"] = subject
     msg["To"] = user_email
-    msg["From"] = mail_from
+    if mail_from:
+        msg["From"] = mail_from
     msg["Date"] = formatdate(localtime=True)
     msg["Message-ID"] = make_msgid(domain="onyx.app")
 

backend/onyx/auth/essential_manager.py

@@ -1,52 +0,0 @@
-from typing import Optional
-
-from fastapi import Depends
-from fastapi import Request
-from fastapi_users import BaseUserManager
-from fastapi_users import UUIDIDMixin
-from fastapi_users.db import SQLAlchemyUserDatabase
-
-from onyx.auth.essential_user import EssentialUser
-from onyx.auth.essential_user import get_essential_user_db
-from onyx.configs.app_configs import USER_MANAGER_SECRET
-
-
-class EssentialUserManager(UUIDIDMixin, BaseUserManager[EssentialUser, str]):
-    """
-    A simplified user manager that only handles essential authentication operations.
-    This is used during the initial tenant setup phase to avoid errors with missing columns.
-    """
-
-    reset_password_token_secret = USER_MANAGER_SECRET
-    verification_token_secret = USER_MANAGER_SECRET
-
-    async def on_after_register(
-        self, user: EssentialUser, request: Optional[Request] = None
-    ) -> None:
-        """
-        Simplified post-registration hook.
-        """
-
-    async def on_after_forgot_password(
-        self, user: EssentialUser, token: str, request: Optional[Request] = None
-    ) -> None:
-        """
-        Simplified post-forgot-password hook.
-        """
-
-    async def on_after_request_verify(
-        self, user: EssentialUser, token: str, request: Optional[Request] = None
-    ) -> None:
-        """
-        Simplified post-verification-request hook.
-        """
-
-
-async def get_essential_user_manager(
-    user_db: SQLAlchemyUserDatabase = Depends(get_essential_user_db),
-) -> EssentialUserManager:
-    """
-    Get a user manager that uses the essential user model.
-    This avoids errors with missing columns during the initial tenant setup.
-    """
-    yield EssentialUserManager(user_db)

backend/onyx/auth/essential_user.py

@@ -1,47 +0,0 @@
-from collections.abc import AsyncGenerator
-from typing import Optional
-
-from fastapi import Depends
-from fastapi_users.db import SQLAlchemyBaseUserTableUUID
-from fastapi_users.db import SQLAlchemyUserDatabase
-from sqlalchemy import Boolean
-from sqlalchemy import Column
-from sqlalchemy import String
-from sqlalchemy.ext.asyncio import AsyncSession
-from sqlalchemy.ext.declarative import declarative_base
-from sqlalchemy.ext.declarative import DeclarativeMeta
-from sqlalchemy.orm import relationship
-
-from onyx.db.engine import get_async_session
-
-Base: DeclarativeMeta = declarative_base()
-
-
-class EssentialUser(SQLAlchemyBaseUserTableUUID, Base):
-    """
-    A simplified user model that only includes essential columns needed for authentication.
-    This is used during the initial tenant setup phase to avoid errors with missing columns
-    that would be added in later migrations.
-    """
-
-    __tablename__ = "user"
-
-    email: str = Column(String(length=320), unique=True, index=True, nullable=False)
-    hashed_password: Optional[str] = Column(String(length=1024), nullable=True)
-    is_active: bool = Column(Boolean, default=True, nullable=False)
-    is_superuser: bool = Column(Boolean, default=False, nullable=False)
-    is_verified: bool = Column(Boolean, default=False, nullable=False)
-
-    # Relationships are defined but not used in the essential auth flow
-    oauth_accounts = relationship("OAuthAccount", lazy="joined")
-    credentials = relationship("Credential", lazy="joined")
-
-
-async def get_essential_user_db(
-    session: AsyncSession = Depends(get_async_session),
-) -> AsyncGenerator[SQLAlchemyUserDatabase, None]:
-    """
-    Get a user database that uses the essential user model.
-    This avoids errors with missing columns during the initial tenant setup.
-    """
-    yield SQLAlchemyUserDatabase(session, EssentialUser)

backend/onyx/auth/invited_users.py

@@ -1,5 +1,6 @@
 from typing import cast
 
+from onyx.configs.constants import KV_PENDING_USERS_KEY
 from onyx.configs.constants import KV_USER_STORE_KEY
 from onyx.key_value_store.factory import get_kv_store
 from onyx.key_value_store.interface import KvKeyNotFoundError
@@ -18,3 +19,17 @@ def write_invited_users(emails: list[str]) -> int:
     store = get_kv_store()
     store.store(KV_USER_STORE_KEY, cast(JSON_ro, emails))
     return len(emails)
+
+
+def get_pending_users() -> list[str]:
+    try:
+        store = get_kv_store()
+        return cast(list, store.load(KV_PENDING_USERS_KEY))
+    except KvKeyNotFoundError:
+        return list()
+
+
+def write_pending_users(emails: list[str]) -> int:
+    store = get_kv_store()
+    store.store(KV_PENDING_USERS_KEY, cast(JSON_ro, emails))
+    return len(emails)

backend/onyx/auth/users.py

@@ -100,6 +100,7 @@ from onyx.utils.logger import setup_logger
 from onyx.utils.telemetry import create_milestone_and_report
 from onyx.utils.telemetry import optional_telemetry
 from onyx.utils.telemetry import RecordType
+from onyx.utils.url import add_url_params
 from onyx.utils.variable_functionality import fetch_ee_implementation_or_noop
 from onyx.utils.variable_functionality import fetch_versioned_implementation
 from shared_configs.configs import async_return_default_schema
@@ -587,14 +588,20 @@ class UserManager(UUIDIDMixin, BaseUserManager[User, uuid.UUID]):
     ) -> Optional[User]:
         email = credentials.username
 
-        # Get tenant_id from mapping table
-        tenant_id = await fetch_ee_implementation_or_noop(
-            "onyx.server.tenants.provisioning",
-            "get_or_provision_tenant",
-            async_return_default_schema,
-        )(
-            email=email,
-        )
+        tenant_id: str | None = None
+        try:
+            tenant_id = fetch_ee_implementation_or_noop(
+                "onyx.server.tenants.provisioning",
+                "get_tenant_id_for_email",
+                None,
+            )(
+                email=email,
+            )
+        except Exception as e:
+            logger.warning(
+                f"User attempted to login with invalid credentials: {str(e)}"
+            )
+
         if not tenant_id:
             # User not found in mapping
             self.password_helper.hash(credentials.password)
@@ -888,7 +895,7 @@ async def current_limited_user(
     return await double_check_user(user)
 
 
-async def current_chat_accesssible_user(
+async def current_chat_accessible_user(
     user: User | None = Depends(optional_user),
 ) -> User | None:
     tenant_id = get_current_tenant_id()
@@ -1089,6 +1096,12 @@ def get_oauth_router(
 
         next_url = state_data.get("next_url", "/")
         referral_source = state_data.get("referral_source", None)
+        try:
+            tenant_id = fetch_ee_implementation_or_noop(
+                "onyx.server.tenants.user_mapping", "get_tenant_id_for_email", None
+            )(account_email)
+        except exceptions.UserNotExists:
+            tenant_id = None
 
         request.state.referral_source = referral_source
 
@@ -1120,9 +1133,14 @@ def get_oauth_router(
         # Login user
         response = await backend.login(strategy, user)
         await user_manager.on_after_login(user, request, response)
-
         # Prepare redirect response
-        redirect_response = RedirectResponse(next_url, status_code=302)
+        if tenant_id is None:
+            # Use URL utility to add parameters
+            redirect_url = add_url_params(next_url, {"new_team": "true"})
+            redirect_response = RedirectResponse(redirect_url, status_code=302)
+        else:
+            # No parameters to add
+            redirect_response = RedirectResponse(next_url, status_code=302)
 
         # Copy headers and other attributes from 'response' to 'redirect_response'
         for header_name, header_value in response.headers.items():
@@ -1134,6 +1152,7 @@ def get_oauth_router(
             redirect_response.status_code = response.status_code
         if hasattr(response, "media_type"):
             redirect_response.media_type = response.media_type
+
         return redirect_response
 
     return router

backend/onyx/background/celery/apps/light.py

@@ -111,5 +111,6 @@ celery_app.autodiscover_tasks(
         "onyx.background.celery.tasks.vespa",
         "onyx.background.celery.tasks.connector_deletion",
         "onyx.background.celery.tasks.doc_permission_syncing",
+        "onyx.background.celery.tasks.indexing",
     ]
 )

backend/onyx/background/celery/memory_monitoring.py

@@ -0,0 +1,73 @@
+# backend/onyx/background/celery/memory_monitoring.py
+import logging
+import os
+from logging.handlers import RotatingFileHandler
+
+import psutil
+
+from onyx.utils.logger import is_running_in_container
+from onyx.utils.logger import setup_logger
+
+# Regular application logger
+logger = setup_logger()
+
+# Only set up memory monitoring in container environment
+if is_running_in_container():
+    # Set up a dedicated memory monitoring logger
+    MEMORY_LOG_DIR = "/var/log/persisted-logs/memory"
+    MEMORY_LOG_FILE = os.path.join(MEMORY_LOG_DIR, "memory_usage.log")
+    MEMORY_LOG_MAX_BYTES = 10 * 1024 * 1024  # 10MB
+    MEMORY_LOG_BACKUP_COUNT = 5  # Keep 5 backup files
+
+    # Ensure log directory exists
+    os.makedirs(MEMORY_LOG_DIR, exist_ok=True)
+
+    # Create a dedicated logger for memory monitoring
+    memory_logger = logging.getLogger("memory_monitoring")
+    memory_logger.setLevel(logging.INFO)
+
+    # Create a rotating file handler
+    memory_handler = RotatingFileHandler(
+        MEMORY_LOG_FILE,
+        maxBytes=MEMORY_LOG_MAX_BYTES,
+        backupCount=MEMORY_LOG_BACKUP_COUNT,
+    )
+
+    # Create a formatter that includes all relevant information
+    memory_formatter = logging.Formatter(
+        "%(asctime)s [%(levelname)s] %(message)s", datefmt="%Y-%m-%d %H:%M:%S"
+    )
+    memory_handler.setFormatter(memory_formatter)
+    memory_logger.addHandler(memory_handler)
+else:
+    # Create a null logger when not in container
+    memory_logger = logging.getLogger("memory_monitoring")
+    memory_logger.addHandler(logging.NullHandler())
+
+
+def emit_process_memory(
+    pid: int, process_name: str, additional_metadata: dict[str, str | int]
+) -> None:
+    # Skip memory monitoring if not in container
+    if not is_running_in_container():
+        return
+
+    try:
+        process = psutil.Process(pid)
+        memory_info = process.memory_info()
+        cpu_percent = process.cpu_percent(interval=0.1)
+
+        # Build metadata string from additional_metadata dictionary
+        metadata_str = " ".join(
+            [f"{key}={value}" for key, value in additional_metadata.items()]
+        )
+        metadata_str = f" {metadata_str}" if metadata_str else ""
+
+        memory_logger.info(
+            f"PROCESS_MEMORY process_name={process_name} pid={pid} "
+            f"rss_mb={memory_info.rss / (1024 * 1024):.2f} "
+            f"vms_mb={memory_info.vms / (1024 * 1024):.2f} "
+            f"cpu={cpu_percent:.2f}{metadata_str}"
+        )
+    except Exception:
+        logger.exception("Error monitoring process memory.")

backend/onyx/background/celery/tasks/indexing/tasks.py

@@ -23,6 +23,7 @@ from sqlalchemy.orm import Session
 
 from onyx.background.celery.apps.app_base import task_logger
 from onyx.background.celery.celery_utils import httpx_init_vespa_pool
+from onyx.background.celery.memory_monitoring import emit_process_memory
 from onyx.background.celery.tasks.indexing.utils import get_unfenced_index_attempt_ids
 from onyx.background.celery.tasks.indexing.utils import IndexingCallback
 from onyx.background.celery.tasks.indexing.utils import should_index
@@ -984,6 +985,9 @@ def connector_indexing_proxy_task(
     redis_connector = RedisConnector(tenant_id, cc_pair_id)
     redis_connector_index = redis_connector.new_index(search_settings_id)
 
+    # Track the last time memory info was emitted
+    last_memory_emit_time = 0.0
+
     try:
         with get_session_with_current_tenant() as db_session:
             index_attempt = get_index_attempt(
@@ -1024,6 +1028,23 @@ def connector_indexing_proxy_task(
                     job.release()
                     break
 
+            # log the memory usage for tracking down memory leaks / connector-specific memory issues
+            pid = job.process.pid
+            if pid is not None:
+                # Only emit memory info once per minute (60 seconds)
+                current_time = time.monotonic()
+                if current_time - last_memory_emit_time >= 60.0:
+                    emit_process_memory(
+                        pid,
+                        "indexing_worker",
+                        {
+                            "cc_pair_id": cc_pair_id,
+                            "search_settings_id": search_settings_id,
+                            "index_attempt_id": index_attempt_id,
+                        },
+                    )
+                    last_memory_emit_time = current_time
+
             # if a termination signal is detected, break (exit point will clean up)
             if self.request.id and redis_connector_index.terminating(self.request.id):
                 task_logger.warning(
@@ -1170,6 +1191,7 @@ def connector_indexing_proxy_task(
     return
 
 
+# primary
 @shared_task(
     name=OnyxCeleryTask.CHECK_FOR_CHECKPOINT_CLEANUP,
     soft_time_limit=300,
@@ -1217,6 +1239,7 @@ def check_for_checkpoint_cleanup(*, tenant_id: str) -> None:
                 )
 
 
+# light worker
 @shared_task(
     name=OnyxCeleryTask.CLEANUP_CHECKPOINT,
     bind=True,

backend/onyx/chat/llm_response_handler.py

@@ -15,6 +15,8 @@ from onyx.chat.stream_processing.answer_response_handler import (
 from onyx.chat.tool_handling.tool_response_handler import ToolResponseHandler
 
 
+# This is Legacy code that is not used anymore.
+# It is kept here for reference.
 class LLMResponseHandlerManager:
     """
     This class is responsible for postprocessing the LLM response stream.

backend/onyx/chat/models.py

@@ -1,10 +1,13 @@
+from collections import OrderedDict
 from collections.abc import Callable
 from collections.abc import Iterator
+from collections.abc import Mapping
 from datetime import datetime
 from enum import Enum
 from typing import Any
 from typing import Literal
 from typing import TYPE_CHECKING
+from typing import Union
 
 from pydantic import BaseModel
 from pydantic import ConfigDict
@@ -44,9 +47,44 @@ class LlmDoc(BaseModel):
 
 
 class SubQuestionIdentifier(BaseModel):
+    """None represents references to objects in the original flow. To our understanding,
+    these will not be None in the packets returned from agent search.
+    """
+
     level: int | None = None
     level_question_num: int | None = None
 
+    @staticmethod
+    def make_dict_by_level(
+        original_dict: Mapping[tuple[int, int], "SubQuestionIdentifier"]
+    ) -> dict[int, list["SubQuestionIdentifier"]]:
+        """returns a dict of level to object list (sorted by level_question_num)
+        Ordering is asc for readability.
+        """
+
+        # organize by level, then sort ascending by question_index
+        level_dict: dict[int, list[SubQuestionIdentifier]] = {}
+
+        # group by level
+        for k, obj in original_dict.items():
+            level = k[0]
+            if level not in level_dict:
+                level_dict[level] = []
+            level_dict[level].append(obj)
+
+        # for each level, sort the group
+        for k2, value2 in level_dict.items():
+            # we need to handle the none case due to SubQuestionIdentifier typing
+            # level_question_num as int | None, even though it should never be None here.
+            level_dict[k2] = sorted(
+                value2,
+                key=lambda x: (x.level_question_num is None, x.level_question_num),
+            )
+
+        # sort by level
+        sorted_dict = OrderedDict(sorted(level_dict.items()))
+        return sorted_dict
+
 
 # First chunk of info for streaming QA
 class QADocsResponse(RetrievalDocs, SubQuestionIdentifier):
@@ -336,6 +374,8 @@ class AgentAnswerPiece(SubQuestionIdentifier):
 
 
 class SubQuestionPiece(SubQuestionIdentifier):
+    """Refined sub questions generated from the initial user question."""
+
     sub_question: str
 
 
@@ -347,13 +387,13 @@ class RefinedAnswerImprovement(BaseModel):
     refined_answer_improvement: bool
 
 
-AgentSearchPacket = (
+AgentSearchPacket = Union[
     SubQuestionPiece
     | AgentAnswerPiece
     | SubQueryPiece
     | ExtendedToolResponse
     | RefinedAnswerImprovement
-)
+]
 
 AnswerPacket = (
     AnswerQuestionPossibleReturn | AgentSearchPacket | ToolCallKickoff | ToolResponse

backend/onyx/chat/stream_processing/citation_processing.py

@@ -90,97 +90,97 @@ class CitationProcessor:
                     next(group for group in citation.groups() if group is not None)
                 )
 
-                if 1 <= numerical_value <= self.max_citation_num:
-                    context_llm_doc = self.context_docs[numerical_value - 1]
-                    final_citation_num = self.final_order_mapping[
+                if not (1 <= numerical_value <= self.max_citation_num):
+                    continue
+
+                context_llm_doc = self.context_docs[numerical_value - 1]
+                final_citation_num = self.final_order_mapping[
+                    context_llm_doc.document_id
+                ]
+
+                if final_citation_num not in self.citation_order:
+                    self.citation_order.append(final_citation_num)
+
+                citation_order_idx = self.citation_order.index(final_citation_num) + 1
+
+                # get the value that was displayed to user, should always
+                # be in the display_doc_order_dict. But check anyways
+                if context_llm_doc.document_id in self.display_order_mapping:
+                    displayed_citation_num = self.display_order_mapping[
                         context_llm_doc.document_id
                     ]
-
-                    if final_citation_num not in self.citation_order:
-                        self.citation_order.append(final_citation_num)
-
-                    citation_order_idx = (
-                        self.citation_order.index(final_citation_num) + 1
+                else:
+                    displayed_citation_num = final_citation_num
+                    logger.warning(
+                        f"Doc {context_llm_doc.document_id} not in display_doc_order_dict. Used LLM citation number instead."
                     )
 
-                    # get the value that was displayed to user, should always
-                    # be in the display_doc_order_dict. But check anyways
-                    if context_llm_doc.document_id in self.display_order_mapping:
-                        displayed_citation_num = self.display_order_mapping[
-                            context_llm_doc.document_id
-                        ]
-                    else:
-                        displayed_citation_num = final_citation_num
-                        logger.warning(
-                            f"Doc {context_llm_doc.document_id} not in display_doc_order_dict. Used LLM citation number instead."
-                        )
-
-                    # Skip consecutive citations of the same work
-                    if final_citation_num in self.current_citations:
-                        start, end = citation.span()
-                        real_start = length_to_add + start
-                        diff = end - start
-                        self.curr_segment = (
-                            self.curr_segment[: length_to_add + start]
-                            + self.curr_segment[real_start + diff :]
-                        )
-                        length_to_add -= diff
-                        continue
-
-                    # Handle edge case where LLM outputs citation itself
-                    if self.curr_segment.startswith("[["):
-                        match = re.match(r"\[\[(\d+)\]\]", self.curr_segment)
-                        if match:
-                            try:
-                                doc_id = int(match.group(1))
-                                context_llm_doc = self.context_docs[doc_id - 1]
-                                yield CitationInfo(
-                                    # citation_num is now the number post initial ranking, i.e. as displayed to user
-                                    citation_num=displayed_citation_num,
-                                    document_id=context_llm_doc.document_id,
-                                )
-                            except Exception as e:
-                                logger.warning(
-                                    f"Manual LLM citation didn't properly cite documents {e}"
-                                )
-                        else:
-                            logger.warning(
-                                "Manual LLM citation wasn't able to close brackets"
-                            )
-                        continue
-
-                    link = context_llm_doc.link
-
-                    self.past_cite_count = len(self.llm_out)
-                    self.current_citations.append(final_citation_num)
-
-                    if citation_order_idx not in self.cited_inds:
-                        self.cited_inds.add(citation_order_idx)
-                        yield CitationInfo(
-                            # citation number is now the one that was displayed to user
-                            citation_num=displayed_citation_num,
-                            document_id=context_llm_doc.document_id,
-                        )
-
+                # Skip consecutive citations of the same work
+                if final_citation_num in self.current_citations:
                     start, end = citation.span()
-                    if link:
-                        prev_length = len(self.curr_segment)
-                        self.curr_segment = (
-                            self.curr_segment[: start + length_to_add]
-                            + f"[[{displayed_citation_num}]]({link})"  # use the value that was displayed to user
-                            + self.curr_segment[end + length_to_add :]
-                        )
-                        length_to_add += len(self.curr_segment) - prev_length
-                    else:
-                        prev_length = len(self.curr_segment)
-                        self.curr_segment = (
-                            self.curr_segment[: start + length_to_add]
-                            + f"[[{displayed_citation_num}]]()"  # use the value that was displayed to user
-                            + self.curr_segment[end + length_to_add :]
-                        )
-                        length_to_add += len(self.curr_segment) - prev_length
+                    real_start = length_to_add + start
+                    diff = end - start
+                    self.curr_segment = (
+                        self.curr_segment[: length_to_add + start]
+                        + self.curr_segment[real_start + diff :]
+                    )
+                    length_to_add -= diff
+                    continue
 
-                    last_citation_end = end + length_to_add
+                # Handle edge case where LLM outputs citation itself
+                if self.curr_segment.startswith("[["):
+                    match = re.match(r"\[\[(\d+)\]\]", self.curr_segment)
+                    if match:
+                        try:
+                            doc_id = int(match.group(1))
+                            context_llm_doc = self.context_docs[doc_id - 1]
+                            yield CitationInfo(
+                                # citation_num is now the number post initial ranking, i.e. as displayed to user
+                                citation_num=displayed_citation_num,
+                                document_id=context_llm_doc.document_id,
+                            )
+                        except Exception as e:
+                            logger.warning(
+                                f"Manual LLM citation didn't properly cite documents {e}"
+                            )
+                    else:
+                        logger.warning(
+                            "Manual LLM citation wasn't able to close brackets"
+                        )
+                    continue
+
+                link = context_llm_doc.link
+
+                self.past_cite_count = len(self.llm_out)
+                self.current_citations.append(final_citation_num)
+
+                if citation_order_idx not in self.cited_inds:
+                    self.cited_inds.add(citation_order_idx)
+                    yield CitationInfo(
+                        # citation number is now the one that was displayed to user
+                        citation_num=displayed_citation_num,
+                        document_id=context_llm_doc.document_id,
+                    )
+
+                start, end = citation.span()
+                if link:
+                    prev_length = len(self.curr_segment)
+                    self.curr_segment = (
+                        self.curr_segment[: start + length_to_add]
+                        + f"[[{displayed_citation_num}]]({link})"  # use the value that was displayed to user
+                        + self.curr_segment[end + length_to_add :]
+                    )
+                    length_to_add += len(self.curr_segment) - prev_length
+                else:
+                    prev_length = len(self.curr_segment)
+                    self.curr_segment = (
+                        self.curr_segment[: start + length_to_add]
+                        + f"[[{displayed_citation_num}]]()"  # use the value that was displayed to user
+                        + self.curr_segment[end + length_to_add :]
+                    )
+                    length_to_add += len(self.curr_segment) - prev_length
+
+                last_citation_end = end + length_to_add
 
             if last_citation_end > 0:
                 result += self.curr_segment[:last_citation_end]

backend/onyx/configs/agent_configs.py

@@ -217,20 +217,20 @@ AGENT_TIMEOUT_LLM_SUBQUESTION_GENERATION = int(
 )
 
 
-AGENT_DEFAULT_TIMEOUT_CONNECT_LLM_SUBANSWER_GENERATION = 4  # in seconds
+AGENT_DEFAULT_TIMEOUT_CONNECT_LLM_SUBANSWER_GENERATION = 6  # in seconds
 AGENT_TIMEOUT_CONNECT_LLM_SUBANSWER_GENERATION = int(
     os.environ.get("AGENT_TIMEOUT_CONNECT_LLM_SUBANSWER_GENERATION")
     or AGENT_DEFAULT_TIMEOUT_CONNECT_LLM_SUBANSWER_GENERATION
 )
 
-AGENT_DEFAULT_TIMEOUT_LLM_SUBANSWER_GENERATION = 30  # in seconds
+AGENT_DEFAULT_TIMEOUT_LLM_SUBANSWER_GENERATION = 40  # in seconds
 AGENT_TIMEOUT_LLM_SUBANSWER_GENERATION = int(
     os.environ.get("AGENT_TIMEOUT_LLM_SUBANSWER_GENERATION")
     or AGENT_DEFAULT_TIMEOUT_LLM_SUBANSWER_GENERATION
 )
 
 
-AGENT_DEFAULT_TIMEOUT_CONNECT_LLM_INITIAL_ANSWER_GENERATION = 5  # in seconds
+AGENT_DEFAULT_TIMEOUT_CONNECT_LLM_INITIAL_ANSWER_GENERATION = 10  # in seconds
 AGENT_TIMEOUT_CONNECT_LLM_INITIAL_ANSWER_GENERATION = int(
     os.environ.get("AGENT_TIMEOUT_CONNECT_LLM_INITIAL_ANSWER_GENERATION")
     or AGENT_DEFAULT_TIMEOUT_CONNECT_LLM_INITIAL_ANSWER_GENERATION
@@ -243,13 +243,13 @@ AGENT_TIMEOUT_LLM_INITIAL_ANSWER_GENERATION = int(
 )
 
 
-AGENT_DEFAULT_TIMEOUT_CONNECT_LLM_REFINED_ANSWER_GENERATION = 5  # in seconds
+AGENT_DEFAULT_TIMEOUT_CONNECT_LLM_REFINED_ANSWER_GENERATION = 15  # in seconds
 AGENT_TIMEOUT_CONNECT_LLM_REFINED_ANSWER_GENERATION = int(
     os.environ.get("AGENT_TIMEOUT_CONNECT_LLM_REFINED_ANSWER_GENERATION")
     or AGENT_DEFAULT_TIMEOUT_CONNECT_LLM_REFINED_ANSWER_GENERATION
 )
 
-AGENT_DEFAULT_TIMEOUT_LLM_REFINED_ANSWER_GENERATION = 30  # in seconds
+AGENT_DEFAULT_TIMEOUT_LLM_REFINED_ANSWER_GENERATION = 45  # in seconds
 AGENT_TIMEOUT_LLM_REFINED_ANSWER_GENERATION = int(
     os.environ.get("AGENT_TIMEOUT_LLM_REFINED_ANSWER_GENERATION")
     or AGENT_DEFAULT_TIMEOUT_LLM_REFINED_ANSWER_GENERATION
@@ -333,4 +333,45 @@ AGENT_TIMEOUT_LLM_REFINED_ANSWER_VALIDATION = int(
     or AGENT_DEFAULT_TIMEOUT_LLM_REFINED_ANSWER_VALIDATION
 )
 
+AGENT_DEFAULT_MAX_TOKENS_VALIDATION = 4
+AGENT_MAX_TOKENS_VALIDATION = int(
+    os.environ.get("AGENT_MAX_TOKENS_VALIDATION") or AGENT_DEFAULT_MAX_TOKENS_VALIDATION
+)
+
+AGENT_DEFAULT_MAX_TOKENS_SUBANSWER_GENERATION = 256
+AGENT_MAX_TOKENS_SUBANSWER_GENERATION = int(
+    os.environ.get("AGENT_MAX_TOKENS_SUBANSWER_GENERATION")
+    or AGENT_DEFAULT_MAX_TOKENS_SUBANSWER_GENERATION
+)
+
+AGENT_DEFAULT_MAX_TOKENS_ANSWER_GENERATION = 1024
+AGENT_MAX_TOKENS_ANSWER_GENERATION = int(
+    os.environ.get("AGENT_MAX_TOKENS_ANSWER_GENERATION")
+    or AGENT_DEFAULT_MAX_TOKENS_ANSWER_GENERATION
+)
+
+AGENT_DEFAULT_MAX_TOKENS_SUBQUESTION_GENERATION = 256
+AGENT_MAX_TOKENS_SUBQUESTION_GENERATION = int(
+    os.environ.get("AGENT_MAX_TOKENS_SUBQUESTION_GENERATION")
+    or AGENT_DEFAULT_MAX_TOKENS_SUBQUESTION_GENERATION
+)
+
+AGENT_DEFAULT_MAX_TOKENS_ENTITY_TERM_EXTRACTION = 1024
+AGENT_MAX_TOKENS_ENTITY_TERM_EXTRACTION = int(
+    os.environ.get("AGENT_MAX_TOKENS_ENTITY_TERM_EXTRACTION")
+    or AGENT_DEFAULT_MAX_TOKENS_ENTITY_TERM_EXTRACTION
+)
+
+AGENT_DEFAULT_MAX_TOKENS_SUBQUERY_GENERATION = 64
+AGENT_MAX_TOKENS_SUBQUERY_GENERATION = int(
+    os.environ.get("AGENT_MAX_TOKENS_SUBQUERY_GENERATION")
+    or AGENT_DEFAULT_MAX_TOKENS_SUBQUERY_GENERATION
+)
+
+AGENT_DEFAULT_MAX_TOKENS_HISTORY_SUMMARY = 128
+AGENT_MAX_TOKENS_HISTORY_SUMMARY = int(
+    os.environ.get("AGENT_MAX_TOKENS_HISTORY_SUMMARY")
+    or AGENT_DEFAULT_MAX_TOKENS_HISTORY_SUMMARY
+)
+
 GRAPH_VERSION_NAME: str = "a"

backend/onyx/configs/app_configs.py

@@ -642,14 +642,4 @@ MOCK_LLM_RESPONSE = (
 )
 
 
-# Image processing configurations
-ENABLE_IMAGE_EXTRACTION = (
-    os.environ.get("ENABLE_IMAGE_EXTRACTION", "true").lower() == "true"
-)
-ENABLE_INDEXING_TIME_IMAGE_ANALYSIS = not (
-    os.environ.get("DISABLE_INDEXING_TIME_IMAGE_ANALYSIS", "false").lower() == "true"
-)
-ENABLE_SEARCH_TIME_IMAGE_ANALYSIS = not (
-    os.environ.get("DISABLE_SEARCH_TIME_IMAGE_ANALYSIS", "false").lower() == "true"
-)
-IMAGE_ANALYSIS_MAX_SIZE_MB = int(os.environ.get("IMAGE_ANALYSIS_MAX_SIZE_MB", "20"))
+DEFAULT_IMAGE_ANALYSIS_MAX_SIZE_MB = 20

backend/onyx/configs/constants.py

@@ -76,6 +76,7 @@ KV_REINDEX_KEY = "needs_reindexing"
 KV_SEARCH_SETTINGS = "search_settings"
 KV_UNSTRUCTURED_API_KEY = "unstructured_api_key"
 KV_USER_STORE_KEY = "INVITED_USERS"
+KV_PENDING_USERS_KEY = "PENDING_USERS"
 KV_NO_AUTH_USER_PREFERENCES_KEY = "no_auth_user_preferences"
 KV_CRED_KEY = "credential_id_{}"
 KV_GMAIL_CRED_KEY = "gmail_app_credential"

backend/onyx/configs/llm_configs.py

@@ -0,0 +1,38 @@
+from onyx.configs.app_configs import DEFAULT_IMAGE_ANALYSIS_MAX_SIZE_MB
+from onyx.server.settings.store import load_settings
+
+
+def get_image_extraction_and_analysis_enabled() -> bool:
+    """Get image extraction and analysis enabled setting from workspace settings or fallback to False"""
+    try:
+        settings = load_settings()
+        if settings.image_extraction_and_analysis_enabled is not None:
+            return settings.image_extraction_and_analysis_enabled
+    except Exception:
+        pass
+
+    return False
+
+
+def get_search_time_image_analysis_enabled() -> bool:
+    """Get search time image analysis enabled setting from workspace settings or fallback to False"""
+    try:
+        settings = load_settings()
+        if settings.search_time_image_analysis_enabled is not None:
+            return settings.search_time_image_analysis_enabled
+    except Exception:
+        pass
+
+    return False
+
+
+def get_image_analysis_max_size_mb() -> int:
+    """Get image analysis max size MB setting from workspace settings or fallback to environment variable"""
+    try:
+        settings = load_settings()
+        if settings.image_analysis_max_size_mb is not None:
+            return settings.image_analysis_max_size_mb
+    except Exception:
+        pass
+
+    return DEFAULT_IMAGE_ANALYSIS_MAX_SIZE_MB

backend/onyx/connectors/confluence/connector.py

@@ -66,9 +66,6 @@ _RESTRICTIONS_EXPANSION_FIELDS = [
 _SLIM_DOC_BATCH_SIZE = 5000
 
 _ATTACHMENT_EXTENSIONS_TO_FILTER_OUT = [
-    "png",
-    "jpg",
-    "jpeg",
     "gif",
     "mp4",
     "mov",
@@ -240,7 +237,7 @@ class ConfluenceConnector(
             # Extract basic page information
             page_id = page["id"]
             page_title = page["title"]
-            page_url = f"{self.wiki_base}/wiki{page['_links']['webui']}"
+            page_url = f"{self.wiki_base}{page['_links']['webui']}"
 
             # Get the page content
             page_content = extract_text_from_confluence_html(
@@ -305,7 +302,9 @@ class ConfluenceConnector(
 
             # Create the document
             return Document(
-                id=build_confluence_document_id(self.wiki_base, page_id, self.is_cloud),
+                id=build_confluence_document_id(
+                    self.wiki_base, page["_links"]["webui"], self.is_cloud
+                ),
                 sections=sections,
                 source=DocumentSource.CONFLUENCE,
                 semantic_identifier=page_title,
@@ -376,7 +375,7 @@ class ConfluenceConnector(
                     content_text, file_storage_name = response
 
                     object_url = build_confluence_document_id(
-                        self.wiki_base, page["_links"]["webui"], self.is_cloud
+                        self.wiki_base, attachment["_links"]["webui"], self.is_cloud
                     )
 
                     if content_text:

backend/onyx/connectors/confluence/onyx_confluence.py

@@ -144,6 +144,12 @@ class OnyxConfluence:
             self.static_credentials = credential_json
             return credential_json, False
 
+        if not OAUTH_CONFLUENCE_CLOUD_CLIENT_ID:
+            raise RuntimeError("OAUTH_CONFLUENCE_CLOUD_CLIENT_ID must be set!")
+
+        if not OAUTH_CONFLUENCE_CLOUD_CLIENT_SECRET:
+            raise RuntimeError("OAUTH_CONFLUENCE_CLOUD_CLIENT_SECRET must be set!")
+
         # check if we should refresh tokens. we're deciding to refresh halfway
         # to expiration
         now = datetime.now(timezone.utc)

backend/onyx/connectors/gitbook/connector.py

@@ -228,10 +228,15 @@ class GitbookConnector(LoadConnector, PollConnector):
             raise ConnectorMissingCredentialError("GitBook")
 
         try:
-            content = self.client.get(f"/spaces/{self.space_id}/content")
+            content = self.client.get(f"/spaces/{self.space_id}/content/pages")
             pages: list[dict[str, Any]] = content.get("pages", [])
             current_batch: list[Document] = []
 
+            logger.info(f"Found {len(pages)} root pages.")
+            logger.info(
+                f"First 20 Page Ids: {[page.get('id', 'Unknown') for page in pages[:20]]}"
+            )
+
             while pages:
                 page = pages.pop(0)
 

backend/onyx/connectors/github/connector.py

@@ -124,14 +124,14 @@ class GithubConnector(LoadConnector, PollConnector):
     def __init__(
         self,
         repo_owner: str,
-        repo_name: str | None = None,
+        repositories: str | None = None,
         batch_size: int = INDEX_BATCH_SIZE,
         state_filter: str = "all",
         include_prs: bool = True,
         include_issues: bool = False,
     ) -> None:
         self.repo_owner = repo_owner
-        self.repo_name = repo_name
+        self.repositories = repositories
         self.batch_size = batch_size
         self.state_filter = state_filter
         self.include_prs = include_prs
@@ -157,11 +157,42 @@ class GithubConnector(LoadConnector, PollConnector):
             )
 
         try:
-            return github_client.get_repo(f"{self.repo_owner}/{self.repo_name}")
+            return github_client.get_repo(f"{self.repo_owner}/{self.repositories}")
         except RateLimitExceededException:
             _sleep_after_rate_limit_exception(github_client)
             return self._get_github_repo(github_client, attempt_num + 1)
 
+    def _get_github_repos(
+        self, github_client: Github, attempt_num: int = 0
+    ) -> list[Repository.Repository]:
+        """Get specific repositories based on comma-separated repo_name string."""
+        if attempt_num > _MAX_NUM_RATE_LIMIT_RETRIES:
+            raise RuntimeError(
+                "Re-tried fetching repos too many times. Something is going wrong with fetching objects from Github"
+            )
+
+        try:
+            repos = []
+            # Split repo_name by comma and strip whitespace
+            repo_names = [
+                name.strip() for name in (cast(str, self.repositories)).split(",")
+            ]
+
+            for repo_name in repo_names:
+                if repo_name:  # Skip empty strings
+                    try:
+                        repo = github_client.get_repo(f"{self.repo_owner}/{repo_name}")
+                        repos.append(repo)
+                    except GithubException as e:
+                        logger.warning(
+                            f"Could not fetch repo {self.repo_owner}/{repo_name}: {e}"
+                        )
+
+            return repos
+        except RateLimitExceededException:
+            _sleep_after_rate_limit_exception(github_client)
+            return self._get_github_repos(github_client, attempt_num + 1)
+
     def _get_all_repos(
         self, github_client: Github, attempt_num: int = 0
     ) -> list[Repository.Repository]:
@@ -189,11 +220,17 @@ class GithubConnector(LoadConnector, PollConnector):
         if self.github_client is None:
             raise ConnectorMissingCredentialError("GitHub")
 
-        repos = (
-            [self._get_github_repo(self.github_client)]
-            if self.repo_name
-            else self._get_all_repos(self.github_client)
-        )
+        repos = []
+        if self.repositories:
+            if "," in self.repositories:
+                # Multiple repositories specified
+                repos = self._get_github_repos(self.github_client)
+            else:
+                # Single repository (backward compatibility)
+                repos = [self._get_github_repo(self.github_client)]
+        else:
+            # All repositories
+            repos = self._get_all_repos(self.github_client)
 
         for repo in repos:
             if self.include_prs:
@@ -268,11 +305,48 @@ class GithubConnector(LoadConnector, PollConnector):
             )
 
         try:
-            if self.repo_name:
-                test_repo = self.github_client.get_repo(
-                    f"{self.repo_owner}/{self.repo_name}"
-                )
-                test_repo.get_contents("")
+            if self.repositories:
+                if "," in self.repositories:
+                    # Multiple repositories specified
+                    repo_names = [name.strip() for name in self.repositories.split(",")]
+                    if not repo_names:
+                        raise ConnectorValidationError(
+                            "Invalid connector settings: No valid repository names provided."
+                        )
+
+                    # Validate at least one repository exists and is accessible
+                    valid_repos = False
+                    validation_errors = []
+
+                    for repo_name in repo_names:
+                        if not repo_name:
+                            continue
+
+                        try:
+                            test_repo = self.github_client.get_repo(
+                                f"{self.repo_owner}/{repo_name}"
+                            )
+                            test_repo.get_contents("")
+                            valid_repos = True
+                            # If at least one repo is valid, we can proceed
+                            break
+                        except GithubException as e:
+                            validation_errors.append(
+                                f"Repository '{repo_name}': {e.data.get('message', str(e))}"
+                            )
+
+                    if not valid_repos:
+                        error_msg = (
+                            "None of the specified repositories could be accessed: "
+                        )
+                        error_msg += ", ".join(validation_errors)
+                        raise ConnectorValidationError(error_msg)
+                else:
+                    # Single repository (backward compatibility)
+                    test_repo = self.github_client.get_repo(
+                        f"{self.repo_owner}/{self.repositories}"
+                    )
+                    test_repo.get_contents("")
             else:
                 # Try to get organization first
                 try:
@@ -298,10 +372,15 @@ class GithubConnector(LoadConnector, PollConnector):
                     "Your GitHub token does not have sufficient permissions for this repository (HTTP 403)."
                 )
             elif e.status == 404:
-                if self.repo_name:
-                    raise ConnectorValidationError(
-                        f"GitHub repository not found with name: {self.repo_owner}/{self.repo_name}"
-                    )
+                if self.repositories:
+                    if "," in self.repositories:
+                        raise ConnectorValidationError(
+                            f"None of the specified GitHub repositories could be found for owner: {self.repo_owner}"
+                        )
+                    else:
+                        raise ConnectorValidationError(
+                            f"GitHub repository not found with name: {self.repo_owner}/{self.repositories}"
+                        )
                 else:
                     raise ConnectorValidationError(
                         f"GitHub user or organization not found: {self.repo_owner}"
@@ -310,6 +389,7 @@ class GithubConnector(LoadConnector, PollConnector):
                 raise ConnectorValidationError(
                     f"Unexpected GitHub error (status={e.status}): {e.data}"
                 )
+
         except Exception as exc:
             raise Exception(
                 f"Unexpected error during GitHub settings validation: {exc}"
@@ -321,7 +401,7 @@ if __name__ == "__main__":
 
     connector = GithubConnector(
         repo_owner=os.environ["REPO_OWNER"],
-        repo_name=os.environ["REPO_NAME"],
+        repositories=os.environ["REPOSITORIES"],
     )
     connector.load_credentials(
         {"github_access_token": os.environ["GITHUB_ACCESS_TOKEN"]}

backend/onyx/connectors/google_drive/connector.py

@@ -316,7 +316,9 @@ class GoogleDriveConnector(
         # validate that the user has access to the drive APIs by performing a simple
         # request and checking for a 401
         try:
-            retry_builder()(get_root_folder_id)(drive_service)
+            # default is ~17mins of retries, don't do that here for cases so we don't
+            # waste 17mins everytime we run into a user without access to drive APIs
+            retry_builder(tries=3, delay=1)(get_root_folder_id)(drive_service)
         except HttpError as e:
             if e.status_code == 401:
                 # fail gracefully, let the other impersonations continue

backend/onyx/connectors/models.py

@@ -1,3 +1,4 @@
+import json
 from datetime import datetime
 from enum import Enum
 from typing import Any
@@ -204,6 +205,15 @@ class ConnectorCheckpoint(BaseModel):
     def build_dummy_checkpoint(cls) -> "ConnectorCheckpoint":
         return ConnectorCheckpoint(checkpoint_content={}, has_more=True)
 
+    def __str__(self) -> str:
+        """String representation of the checkpoint, with truncation for large checkpoint content."""
+        MAX_CHECKPOINT_CONTENT_CHARS = 1000
+
+        content_str = json.dumps(self.checkpoint_content)
+        if len(content_str) > MAX_CHECKPOINT_CONTENT_CHARS:
+            content_str = content_str[: MAX_CHECKPOINT_CONTENT_CHARS - 3] + "..."
+        return f"ConnectorCheckpoint(checkpoint_content={content_str}, has_more={self.has_more})"
+
 
 class DocumentFailure(BaseModel):
     document_id: str

backend/onyx/connectors/notion/connector.py

@@ -1,4 +1,3 @@
-import time
 from collections.abc import Generator
 from dataclasses import dataclass
 from dataclasses import fields
@@ -32,6 +31,7 @@ from onyx.utils.logger import setup_logger
 
 logger = setup_logger()
 
+_NOTION_PAGE_SIZE = 100
 _NOTION_CALL_TIMEOUT = 30  # 30 seconds
 
 
@@ -537,9 +537,9 @@ class NotionConnector(LoadConnector, PollConnector):
         """
         filtered_pages: list[NotionPage] = []
         for page in pages:
-            compare_time = time.mktime(
-                time.strptime(page[filter_field], "%Y-%m-%dT%H:%M:%S.000Z")
-            )
+            # Parse ISO 8601 timestamp and convert to UTC epoch time
+            timestamp = page[filter_field].replace(".000Z", "+00:00")
+            compare_time = datetime.fromisoformat(timestamp).timestamp()
             if compare_time > start and compare_time <= end:
                 filtered_pages += [NotionPage(**page)]
         return filtered_pages
@@ -578,7 +578,7 @@ class NotionConnector(LoadConnector, PollConnector):
 
         query_dict = {
             "filter": {"property": "object", "value": "page"},
-            "page_size": self.batch_size,
+            "page_size": _NOTION_PAGE_SIZE,
         }
         while True:
             db_res = self._search_notion(query_dict)
@@ -604,7 +604,7 @@ class NotionConnector(LoadConnector, PollConnector):
             return
 
         query_dict = {
-            "page_size": self.batch_size,
+            "page_size": _NOTION_PAGE_SIZE,
             "sort": {"timestamp": "last_edited_time", "direction": "descending"},
             "filter": {"property": "object", "value": "page"},
         }

backend/onyx/connectors/slack/connector.py

@@ -674,7 +674,7 @@ class SlackConnector(SlimConnector, CheckpointConnector):
         """
         1. Verify the bot token is valid for the workspace (via auth_test).
         2. Ensure the bot has enough scope to list channels.
-        3. Check that every channel specified in self.channels exists.
+        3. Check that every channel specified in self.channels exists (only when regex is not enabled).
         """
         if self.client is None:
             raise ConnectorMissingCredentialError("Slack credentials not loaded.")
@@ -706,8 +706,8 @@ class SlackConnector(SlimConnector, CheckpointConnector):
                     f"Slack API returned a failure: {error_msg}"
                 )
 
-            # 3) If channels are specified, verify each is accessible
-            if self.channels:
+            # 3) If channels are specified and regex is not enabled, verify each is accessible
+            if self.channels and not self.channel_regex_enabled:
                 accessible_channels = get_channels(
                     client=self.client,
                     exclude_archived=True,

backend/onyx/connectors/vision_enabled_connector.py

@@ -1,7 +1,7 @@
 """
 Mixin for connectors that need vision capabilities.
 """
-from onyx.configs.app_configs import ENABLE_INDEXING_TIME_IMAGE_ANALYSIS
+from onyx.configs.llm_configs import get_image_extraction_and_analysis_enabled
 from onyx.llm.factory import get_default_llm_with_vision
 from onyx.llm.interfaces import LLM
 from onyx.utils.logger import setup_logger
@@ -30,7 +30,7 @@ class VisionEnabledConnector:
         Sets self.image_analysis_llm to the LLM instance or None if disabled.
         """
         self.image_analysis_llm: LLM | None = None
-        if ENABLE_INDEXING_TIME_IMAGE_ANALYSIS:
+        if get_image_extraction_and_analysis_enabled():
             try:
                 self.image_analysis_llm = get_default_llm_with_vision()
                 if self.image_analysis_llm is None:

backend/onyx/context/search/models.py

@@ -16,7 +16,7 @@ from onyx.db.models import SearchSettings
 from onyx.indexing.models import BaseChunk
 from onyx.indexing.models import IndexingSetting
 from shared_configs.enums import RerankerProvider
-
+from shared_configs.model_server_models import Embedding
 
 MAX_METRICS_CONTENT = (
     200  # Just need enough characters to identify where in the doc the chunk is
@@ -151,6 +151,10 @@ class SearchRequest(ChunkContext):
     evaluation_type: LLMEvaluationType = LLMEvaluationType.UNSPECIFIED
     model_config = ConfigDict(arbitrary_types_allowed=True)
 
+    precomputed_query_embedding: Embedding | None = None
+    precomputed_is_keyword: bool | None = None
+    precomputed_keywords: list[str] | None = None
+
 
 class SearchQuery(ChunkContext):
     "Processed Request that is directly passed to the SearchPipeline"
@@ -175,6 +179,8 @@ class SearchQuery(ChunkContext):
     offset: int = 0
     model_config = ConfigDict(frozen=True)
 
+    precomputed_query_embedding: Embedding | None = None
+
 
 class RetrievalDetails(ChunkContext):
     # Use LLM to determine whether to do a retrieval or only rely on existing history

backend/onyx/context/search/pipeline.py

@@ -331,6 +331,14 @@ class SearchPipeline:
         self._retrieved_sections = expanded_inference_sections
         return expanded_inference_sections
 
+    @property
+    def retrieved_sections(self) -> list[InferenceSection]:
+        if self._retrieved_sections is not None:
+            return self._retrieved_sections
+
+        self._retrieved_sections = self._get_sections()
+        return self._retrieved_sections
+
     @property
     def reranked_sections(self) -> list[InferenceSection]:
         """Reranking is always done at the chunk level since section merging could create arbitrarily
@@ -343,7 +351,7 @@ class SearchPipeline:
         if self._reranked_sections is not None:
             return self._reranked_sections
 
-        retrieved_sections = self._get_sections()
+        retrieved_sections = self.retrieved_sections
         if self.retrieved_sections_callback is not None:
             self.retrieved_sections_callback(retrieved_sections)
 

backend/onyx/context/search/postprocessing/postprocessing.py

@@ -10,8 +10,8 @@ from langchain_core.messages import SystemMessage
 
 from onyx.chat.models import SectionRelevancePiece
 from onyx.configs.app_configs import BLURB_SIZE
-from onyx.configs.app_configs import ENABLE_SEARCH_TIME_IMAGE_ANALYSIS
 from onyx.configs.constants import RETURN_SEPARATOR
+from onyx.configs.llm_configs import get_search_time_image_analysis_enabled
 from onyx.configs.model_configs import CROSS_ENCODER_RANGE_MAX
 from onyx.configs.model_configs import CROSS_ENCODER_RANGE_MIN
 from onyx.context.search.enums import LLMEvaluationType
@@ -413,7 +413,7 @@ def search_postprocessing(
         # NOTE: if we don't rerank, we can return the chunks immediately
         # since we know this is the final order.
         # This way the user experience isn't delayed by the LLM step
-        if ENABLE_SEARCH_TIME_IMAGE_ANALYSIS:
+        if get_search_time_image_analysis_enabled():
             update_image_sections_with_query(
                 retrieved_sections, search_query.query, llm
             )
@@ -456,7 +456,7 @@ def search_postprocessing(
             _log_top_section_links(search_query.search_type.value, reranked_sections)
 
             # Add the image processing step here
-            if ENABLE_SEARCH_TIME_IMAGE_ANALYSIS:
+            if get_search_time_image_analysis_enabled():
                 update_image_sections_with_query(
                     reranked_sections, search_query.query, llm
                 )

backend/onyx/context/search/preprocessing/preprocessing.py

@@ -117,8 +117,12 @@ def retrieval_preprocessing(
         else None
     )
 
+    # Sometimes this is pre-computed in parallel with other heavy tasks to improve
+    # latency, and in that case we don't need to run the model again
     run_query_analysis = (
-        None if skip_query_analysis else FunctionCall(query_analysis, (query,), {})
+        None
+        if (skip_query_analysis or search_request.precomputed_is_keyword is not None)
+        else FunctionCall(query_analysis, (query,), {})
     )
 
     functions_to_run = [
@@ -143,11 +147,12 @@ def retrieval_preprocessing(
 
     # The extracted keywords right now are not very reliable, not using for now
     # Can maybe use for highlighting
-    is_keyword, extracted_keywords = (
-        parallel_results[run_query_analysis.result_id]
-        if run_query_analysis
-        else (False, None)
-    )
+    is_keyword, _extracted_keywords = False, None
+    if search_request.precomputed_is_keyword is not None:
+        is_keyword = search_request.precomputed_is_keyword
+        _extracted_keywords = search_request.precomputed_keywords
+    elif run_query_analysis:
+        is_keyword, _extracted_keywords = parallel_results[run_query_analysis.result_id]
 
     all_query_terms = query.split()
     processed_keywords = (
@@ -247,4 +252,5 @@ def retrieval_preprocessing(
         chunks_above=chunks_above,
         chunks_below=chunks_below,
         full_doc=search_request.full_doc,
+        precomputed_query_embedding=search_request.precomputed_query_embedding,
     )

backend/onyx/context/search/retrieval/search_runner.py

@@ -31,7 +31,7 @@ from onyx.utils.timing import log_function_time
 from shared_configs.configs import MODEL_SERVER_HOST
 from shared_configs.configs import MODEL_SERVER_PORT
 from shared_configs.enums import EmbedTextType
-
+from shared_configs.model_server_models import Embedding
 
 logger = setup_logger()
 
@@ -109,6 +109,20 @@ def combine_retrieval_results(
     return sorted_chunks
 
 
+def get_query_embedding(query: str, db_session: Session) -> Embedding:
+    search_settings = get_current_search_settings(db_session)
+
+    model = EmbeddingModel.from_db_model(
+        search_settings=search_settings,
+        # The below are globally set, this flow always uses the indexing one
+        server_host=MODEL_SERVER_HOST,
+        server_port=MODEL_SERVER_PORT,
+    )
+
+    query_embedding = model.encode([query], text_type=EmbedTextType.QUERY)[0]
+    return query_embedding
+
+
 @log_function_time(print_only=True)
 def doc_index_retrieval(
     query: SearchQuery,
@@ -121,17 +135,10 @@ def doc_index_retrieval(
     from the large chunks to the referenced chunks,
     dedupes the chunks, and cleans the chunks.
     """
-    search_settings = get_current_search_settings(db_session)
-
-    model = EmbeddingModel.from_db_model(
-        search_settings=search_settings,
-        # The below are globally set, this flow always uses the indexing one
-        server_host=MODEL_SERVER_HOST,
-        server_port=MODEL_SERVER_PORT,
+    query_embedding = query.precomputed_query_embedding or get_query_embedding(
+        query.query, db_session
     )
 
-    query_embedding = model.encode([query.query], text_type=EmbedTextType.QUERY)[0]
-
     top_chunks = document_index.hybrid_retrieval(
         query=query.query,
         query_embedding=query_embedding,
@@ -249,7 +256,16 @@ def retrieve_chunks(
                 continue
             simplified_queries.add(simplified_rephrase)
 
-            q_copy = query.copy(update={"query": rephrase}, deep=True)
+            q_copy = query.model_copy(
+                update={
+                    "query": rephrase,
+                    # need to recompute for each rephrase
+                    # note that `SearchQuery` is a frozen model, so we can't update
+                    # it below
+                    "precomputed_query_embedding": None,
+                },
+                deep=True,
+            )
             run_queries.append(
                 (
                     doc_index_retrieval,

backend/onyx/db/models.py

@@ -2295,15 +2295,14 @@ class PublicBase(DeclarativeBase):
     __abstract__ = True
 
 
+# Strictly keeps track of the tenant that a given user will authenticate to.
 class UserTenantMapping(Base):
     __tablename__ = "user_tenant_mapping"
-    __table_args__ = (
-        UniqueConstraint("email", "tenant_id", name="uq_user_tenant"),
-        {"schema": "public"},
-    )
+    __table_args__ = ({"schema": "public"},)
 
     email: Mapped[str] = mapped_column(String, nullable=False, primary_key=True)
-    tenant_id: Mapped[str] = mapped_column(String, nullable=False)
+    tenant_id: Mapped[str] = mapped_column(String, nullable=False, primary_key=True)
+    active: Mapped[bool] = mapped_column(Boolean, nullable=False, default=True)
 
     @validates("email")
     def validate_email(self, key: str, value: str) -> str:

backend/onyx/db/seeding/chat_history_seeding.py

@@ -0,0 +1,79 @@
+import random
+from datetime import datetime
+from datetime import timedelta
+from logging import getLogger
+
+from onyx.configs.constants import MessageType
+from onyx.db.chat import create_chat_session
+from onyx.db.chat import create_new_chat_message
+from onyx.db.chat import get_or_create_root_message
+from onyx.db.engine import get_session_with_current_tenant
+from onyx.db.models import ChatSession
+
+logger = getLogger(__name__)
+
+
+def seed_chat_history(num_sessions: int, num_messages: int, days: int) -> None:
+    """Utility function to seed chat history for testing.
+
+    num_sessions: the number of sessions to seed
+    num_messages: the number of messages to seed per sessions
+    days: the number of days looking backwards from the current time over which to randomize
+    the times.
+    """
+    with get_session_with_current_tenant() as db_session:
+        logger.info(f"Seeding {num_sessions} sessions.")
+        for y in range(0, num_sessions):
+            create_chat_session(db_session, f"pytest_session_{y}", None, None)
+
+        # randomize all session times
+        logger.info(f"Seeding {num_messages} messages per session.")
+        rows = db_session.query(ChatSession).all()
+        for x in range(0, len(rows)):
+            if x % 1024 == 0:
+                logger.info(f"Seeded messages for {x} sessions so far.")
+
+            row = rows[x]
+            row.time_created = datetime.utcnow() - timedelta(
+                days=random.randint(0, days)
+            )
+            row.time_updated = row.time_created + timedelta(
+                minutes=random.randint(0, 10)
+            )
+
+            root_message = get_or_create_root_message(row.id, db_session)
+
+            current_message_type = MessageType.USER
+            parent_message = root_message
+            for x in range(0, num_messages):
+                if current_message_type == MessageType.USER:
+                    msg = f"pytest_message_user_{x}"
+                else:
+                    msg = f"pytest_message_assistant_{x}"
+
+                chat_message = create_new_chat_message(
+                    row.id,
+                    parent_message,
+                    msg,
+                    None,
+                    0,
+                    current_message_type,
+                    db_session,
+                )
+
+                chat_message.time_sent = row.time_created + timedelta(
+                    minutes=random.randint(0, 10)
+                )
+
+                db_session.commit()
+
+                current_message_type = (
+                    MessageType.ASSISTANT
+                    if current_message_type == MessageType.USER
+                    else MessageType.USER
+                )
+                parent_message = chat_message
+
+        db_session.commit()
+
+        logger.info(f"Seeded messages for {len(rows)} sessions. Finished.")

backend/onyx/db/tag.py

@@ -1,6 +1,5 @@
 from sqlalchemy import and_
 from sqlalchemy import delete
-from sqlalchemy import func
 from sqlalchemy import or_
 from sqlalchemy import select
 from sqlalchemy.orm import Session
@@ -149,11 +148,10 @@ def delete_document_tags_for_documents__no_commit(
     stmt = delete(Document__Tag).where(Document__Tag.document_id.in_(document_ids))
     db_session.execute(stmt)
 
-    orphan_tags_query = (
-        select(Tag.id)
-        .outerjoin(Document__Tag, Tag.id == Document__Tag.tag_id)
-        .group_by(Tag.id)
-        .having(func.count(Document__Tag.document_id) == 0)
+    orphan_tags_query = select(Tag.id).where(
+        ~db_session.query(Document__Tag.tag_id)
+        .filter(Document__Tag.tag_id == Tag.id)
+        .exists()
     )
 
     orphan_tags = db_session.execute(orphan_tags_query).scalars().all()

backend/onyx/indexing/indexing_pipeline.py

@@ -464,12 +464,29 @@ def index_doc_batch(
             ),
         )
 
-        successful_doc_ids = {record.document_id for record in insertion_records}
-        if successful_doc_ids != set(updatable_ids):
+        all_returned_doc_ids = (
+            {record.document_id for record in insertion_records}
+            .union(
+                {
+                    record.failed_document.document_id
+                    for record in vector_db_write_failures
+                    if record.failed_document
+                }
+            )
+            .union(
+                {
+                    record.failed_document.document_id
+                    for record in embedding_failures
+                    if record.failed_document
+                }
+            )
+        )
+        if all_returned_doc_ids != set(updatable_ids):
             raise RuntimeError(
                 f"Some documents were not successfully indexed. "
                 f"Updatable IDs: {updatable_ids}, "
-                f"Successful IDs: {successful_doc_ids}"
+                f"Returned IDs: {all_returned_doc_ids}. "
+                "This should never happen."
             )
 
         last_modified_ids = []

backend/onyx/llm/chat_llm.py

@@ -167,7 +167,7 @@ def _convert_delta_to_message_chunk(
     stop_reason: str | None = None,
 ) -> BaseMessageChunk:
     """Adapted from langchain_community.chat_models.litellm._convert_delta_to_message_chunk"""
-    role = _dict.get("role") or (_base_msg_to_role(curr_msg) if curr_msg else None)
+    role = _dict.get("role") or (_base_msg_to_role(curr_msg) if curr_msg else "unknown")
     content = _dict.get("content") or ""
     additional_kwargs = {}
     if _dict.get("function_call"):
@@ -402,6 +402,7 @@ class DefaultMultiLLM(LLM):
         stream: bool,
         structured_response_format: dict | None = None,
         timeout_override: int | None = None,
+        max_tokens: int | None = None,
     ) -> litellm.ModelResponse | litellm.CustomStreamWrapper:
         # litellm doesn't accept LangChain BaseMessage objects, so we need to convert them
         # to a dict representation
@@ -429,6 +430,7 @@ class DefaultMultiLLM(LLM):
                 # model params
                 temperature=0,
                 timeout=timeout_override or self._timeout,
+                max_tokens=max_tokens,
                 # For now, we don't support parallel tool calls
                 # NOTE: we can't pass this in if tools are not specified
                 # or else OpenAI throws an error
@@ -484,6 +486,7 @@ class DefaultMultiLLM(LLM):
         tool_choice: ToolChoiceOptions | None = None,
         structured_response_format: dict | None = None,
         timeout_override: int | None = None,
+        max_tokens: int | None = None,
     ) -> BaseMessage:
         if LOG_DANSWER_MODEL_INTERACTIONS:
             self.log_model_configs()
@@ -497,6 +500,7 @@ class DefaultMultiLLM(LLM):
                 stream=False,
                 structured_response_format=structured_response_format,
                 timeout_override=timeout_override,
+                max_tokens=max_tokens,
             ),
         )
         choice = response.choices[0]
@@ -515,6 +519,7 @@ class DefaultMultiLLM(LLM):
         tool_choice: ToolChoiceOptions | None = None,
         structured_response_format: dict | None = None,
         timeout_override: int | None = None,
+        max_tokens: int | None = None,
     ) -> Iterator[BaseMessage]:
         if LOG_DANSWER_MODEL_INTERACTIONS:
             self.log_model_configs()
@@ -539,6 +544,7 @@ class DefaultMultiLLM(LLM):
                 stream=True,
                 structured_response_format=structured_response_format,
                 timeout_override=timeout_override,
+                max_tokens=max_tokens,
             ),
         )
         try:

backend/onyx/llm/custom_llm.py

@@ -82,6 +82,7 @@ class CustomModelServer(LLM):
         tool_choice: ToolChoiceOptions | None = None,
         structured_response_format: dict | None = None,
         timeout_override: int | None = None,
+        max_tokens: int | None = None,
     ) -> BaseMessage:
         return self._execute(prompt)
 
@@ -92,5 +93,6 @@ class CustomModelServer(LLM):
         tool_choice: ToolChoiceOptions | None = None,
         structured_response_format: dict | None = None,
         timeout_override: int | None = None,
+        max_tokens: int | None = None,
     ) -> Iterator[BaseMessage]:
         yield self._execute(prompt)

backend/onyx/llm/interfaces.py

@@ -91,12 +91,18 @@ class LLM(abc.ABC):
         tool_choice: ToolChoiceOptions | None = None,
         structured_response_format: dict | None = None,
         timeout_override: int | None = None,
+        max_tokens: int | None = None,
     ) -> BaseMessage:
         self._precall(prompt)
         # TODO add a postcall to log model outputs independent of concrete class
         # implementation
         return self._invoke_implementation(
-            prompt, tools, tool_choice, structured_response_format, timeout_override
+            prompt,
+            tools,
+            tool_choice,
+            structured_response_format,
+            timeout_override,
+            max_tokens,
         )
 
     @abc.abstractmethod
@@ -107,6 +113,7 @@ class LLM(abc.ABC):
         tool_choice: ToolChoiceOptions | None = None,
         structured_response_format: dict | None = None,
         timeout_override: int | None = None,
+        max_tokens: int | None = None,
     ) -> BaseMessage:
         raise NotImplementedError
 
@@ -117,12 +124,18 @@ class LLM(abc.ABC):
         tool_choice: ToolChoiceOptions | None = None,
         structured_response_format: dict | None = None,
         timeout_override: int | None = None,
+        max_tokens: int | None = None,
     ) -> Iterator[BaseMessage]:
         self._precall(prompt)
         # TODO add a postcall to log model outputs independent of concrete class
         # implementation
         messages = self._stream_implementation(
-            prompt, tools, tool_choice, structured_response_format, timeout_override
+            prompt,
+            tools,
+            tool_choice,
+            structured_response_format,
+            timeout_override,
+            max_tokens,
         )
 
         tokens = []
@@ -142,5 +155,6 @@ class LLM(abc.ABC):
         tool_choice: ToolChoiceOptions | None = None,
         structured_response_format: dict | None = None,
         timeout_override: int | None = None,
+        max_tokens: int | None = None,
     ) -> Iterator[BaseMessage]:
         raise NotImplementedError

backend/onyx/main.py

@@ -51,6 +51,7 @@ from onyx.server.documents.cc_pair import router as cc_pair_router
 from onyx.server.documents.connector import router as connector_router
 from onyx.server.documents.credential import router as credential_router
 from onyx.server.documents.document import router as document_router
+from onyx.server.documents.standard_oauth import router as standard_oauth_router
 from onyx.server.features.document_set.api import router as document_set_router
 from onyx.server.features.folder.api import router as folder_router
 from onyx.server.features.input_prompt.api import (
@@ -233,6 +234,8 @@ async def lifespan(app: FastAPI) -> AsyncGenerator[None, None]:
 
     yield
 
+    SqlEngine.reset_engine()
+
     if AUTH_RATE_LIMITING_ENABLED:
         await close_auth_limiter()
 
@@ -322,6 +325,7 @@ def get_application() -> FastAPI:
     )
     include_router_with_global_prefix_prepended(application, long_term_logs_router)
     include_router_with_global_prefix_prepended(application, api_key_router)
+    include_router_with_global_prefix_prepended(application, standard_oauth_router)
 
     if AUTH_TYPE == AuthType.DISABLED:
         # Server logs this during auth setup verification step

backend/onyx/server/auth_check.py

@@ -5,7 +5,7 @@ from fastapi.dependencies.models import Dependant
 from starlette.routing import BaseRoute
 
 from onyx.auth.users import current_admin_user
-from onyx.auth.users import current_chat_accesssible_user
+from onyx.auth.users import current_chat_accessible_user
 from onyx.auth.users import current_curator_or_admin_user
 from onyx.auth.users import current_limited_user
 from onyx.auth.users import current_user
@@ -112,7 +112,7 @@ def check_router_auth(
                     or depends_fn == current_curator_or_admin_user
                     or depends_fn == api_key_dep
                     or depends_fn == current_user_with_expired_token
-                    or depends_fn == current_chat_accesssible_user
+                    or depends_fn == current_chat_accessible_user
                     or depends_fn == control_plane_dep
                     or depends_fn == current_cloud_superuser
                 ):

backend/onyx/server/documents/connector.py

@@ -17,7 +17,7 @@ from pydantic import BaseModel
 from sqlalchemy.orm import Session
 
 from onyx.auth.users import current_admin_user
-from onyx.auth.users import current_chat_accesssible_user
+from onyx.auth.users import current_chat_accessible_user
 from onyx.auth.users import current_curator_or_admin_user
 from onyx.auth.users import current_user
 from onyx.background.celery.versioned_apps.primary import app as primary_app
@@ -1247,7 +1247,7 @@ class BasicCCPairInfo(BaseModel):
 
 @router.get("/connector-status")
 def get_basic_connector_indexing_status(
-    user: User = Depends(current_chat_accesssible_user),
+    user: User = Depends(current_chat_accessible_user),
     db_session: Session = Depends(get_session),
 ) -> list[BasicCCPairInfo]:
     cc_pairs = get_connector_credential_pairs_for_user(

backend/onyx/server/features/persona/api.py

@@ -11,7 +11,7 @@ from sqlalchemy.exc import IntegrityError
 from sqlalchemy.orm import Session
 
 from onyx.auth.users import current_admin_user
-from onyx.auth.users import current_chat_accesssible_user
+from onyx.auth.users import current_chat_accessible_user
 from onyx.auth.users import current_curator_or_admin_user
 from onyx.auth.users import current_limited_user
 from onyx.auth.users import current_user
@@ -390,7 +390,7 @@ def get_image_generation_tool(
 
 @basic_router.get("")
 def list_personas(
-    user: User | None = Depends(current_chat_accesssible_user),
+    user: User | None = Depends(current_chat_accessible_user),
     db_session: Session = Depends(get_session),
     include_deleted: bool = False,
     persona_ids: list[int] = Query(None),

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

@@ -7,7 +7,7 @@ from fastapi import Query
 from sqlalchemy.orm import Session
 
 from onyx.auth.users import current_admin_user
-from onyx.auth.users import current_chat_accesssible_user
+from onyx.auth.users import current_chat_accessible_user
 from onyx.db.engine import get_session
 from onyx.db.llm import fetch_existing_llm_providers
 from onyx.db.llm import fetch_existing_llm_providers_for_user
@@ -191,7 +191,7 @@ def set_provider_as_default(
 
 @basic_router.get("/provider")
 def list_llm_provider_basics(
-    user: User | None = Depends(current_chat_accesssible_user),
+    user: User | None = Depends(current_chat_accessible_user),
     db_session: Session = Depends(get_session),
 ) -> list[LLMProviderDescriptor]:
     return [

backend/onyx/server/manage/models.py

@@ -53,6 +53,16 @@ class UserPreferences(BaseModel):
     temperature_override_enabled: bool | None = None
 
 
+class TenantSnapshot(BaseModel):
+    tenant_id: str
+    number_of_users: int
+
+
+class TenantInfo(BaseModel):
+    invitation: TenantSnapshot | None = None
+    new_tenant: TenantSnapshot | None = None
+
+
 class UserInfo(BaseModel):
     id: str
     email: str
@@ -65,9 +75,10 @@ class UserInfo(BaseModel):
     current_token_created_at: datetime | None = None
     current_token_expiry_length: int | None = None
     is_cloud_superuser: bool = False
-    organization_name: str | None = None
+    team_name: str | None = None
     is_anonymous_user: bool | None = None
     password_configured: bool | None = None
+    tenant_info: TenantInfo | None = None
 
     @classmethod
     def from_model(
@@ -76,8 +87,9 @@ class UserInfo(BaseModel):
         current_token_created_at: datetime | None = None,
         expiry_length: int | None = None,
         is_cloud_superuser: bool = False,
-        organization_name: str | None = None,
+        team_name: str | None = None,
         is_anonymous_user: bool | None = None,
+        tenant_info: TenantInfo | None = None,
     ) -> "UserInfo":
         return cls(
             id=str(user.id),
@@ -99,7 +111,7 @@ class UserInfo(BaseModel):
                     temperature_override_enabled=user.temperature_override_enabled,
                 )
             ),
-            organization_name=organization_name,
+            team_name=team_name,
             # set to None if TRACK_EXTERNAL_IDP_EXPIRY is False so that we avoid cases
             # where they previously had this set + used OIDC, and now they switched to
             # basic auth are now constantly getting redirected back to the login page
@@ -109,6 +121,7 @@ class UserInfo(BaseModel):
             current_token_expiry_length=expiry_length,
             is_cloud_superuser=is_cloud_superuser,
             is_anonymous_user=is_anonymous_user,
+            tenant_info=tenant_info,
         )
 
 

backend/onyx/server/manage/users.py

@@ -12,13 +12,11 @@ from fastapi import Depends
 from fastapi import HTTPException
 from fastapi import Query
 from fastapi import Request
-from psycopg2.errors import UniqueViolation
 from pydantic import BaseModel
 from sqlalchemy import Column
 from sqlalchemy import desc
 from sqlalchemy import select
 from sqlalchemy import update
-from sqlalchemy.exc import IntegrityError
 from sqlalchemy.orm import Session
 
 from ee.onyx.configs.app_configs import SUPER_USERS
@@ -55,6 +53,8 @@ from onyx.key_value_store.factory import get_kv_store
 from onyx.server.documents.models import PaginatedReturn
 from onyx.server.manage.models import AllUsersResponse
 from onyx.server.manage.models import AutoScrollRequest
+from onyx.server.manage.models import TenantInfo
+from onyx.server.manage.models import TenantSnapshot
 from onyx.server.manage.models import UserByEmail
 from onyx.server.manage.models import UserInfo
 from onyx.server.manage.models import UserPreferences
@@ -296,13 +296,6 @@ def bulk_invite_users(
                 "onyx.server.tenants.provisioning", "add_users_to_tenant", None
             )(new_invited_emails, tenant_id)
 
-        except IntegrityError as e:
-            if isinstance(e.orig, UniqueViolation):
-                raise HTTPException(
-                    status_code=400,
-                    detail="User has already been invited to a Onyx organization",
-                )
-            raise
         except Exception as e:
             logger.error(f"Failed to add users to tenant {tenant_id}: {str(e)}")
 
@@ -425,6 +418,10 @@ async def delete_user(
     db_session.expunge(user_to_delete)
 
     try:
+        tenant_id = get_current_tenant_id()
+        fetch_ee_implementation_or_noop(
+            "onyx.server.tenants.user_mapping", "remove_users_from_tenant", None
+        )([user_email.user_email], tenant_id)
         delete_user_from_db(user_to_delete, db_session)
         logger.info(f"Deleted user {user_to_delete.email}")
 
@@ -553,8 +550,8 @@ def verify_user_logged_in(
         if anonymous_user_enabled(tenant_id=tenant_id):
             store = get_kv_store()
             return fetch_no_auth_user(store, anonymous_user_enabled=True)
-
         raise BasicAuthenticationError(detail="User Not Authenticated")
+
     if user.oidc_expiry and user.oidc_expiry < datetime.now(timezone.utc):
         raise BasicAuthenticationError(
             detail="Access denied. User's OIDC token has expired.",
@@ -563,16 +560,35 @@ def verify_user_logged_in(
     token_created_at = (
         None if MULTI_TENANT else get_current_token_creation(user, db_session)
     )
-    organization_name = fetch_ee_implementation_or_noop(
+
+    team_name = fetch_ee_implementation_or_noop(
         "onyx.server.tenants.user_mapping", "get_tenant_id_for_email", None
     )(user.email)
 
+    new_tenant: TenantSnapshot | None = None
+    tenant_invitation: TenantSnapshot | None = None
+
+    if MULTI_TENANT:
+        if team_name != get_current_tenant_id():
+            user_count = fetch_ee_implementation_or_noop(
+                "onyx.server.tenants.user_mapping", "get_tenant_count", None
+            )(team_name)
+            new_tenant = TenantSnapshot(tenant_id=team_name, number_of_users=user_count)
+
+        tenant_invitation = fetch_ee_implementation_or_noop(
+            "onyx.server.tenants.user_mapping", "get_tenant_invitation", None
+        )(user.email)
+
     user_info = UserInfo.from_model(
         user,
         current_token_created_at=token_created_at,
         expiry_length=SESSION_EXPIRE_TIME_SECONDS,
         is_cloud_superuser=user.email in SUPER_USERS,
-        organization_name=organization_name,
+        team_name=team_name,
+        tenant_info=TenantInfo(
+            new_tenant=new_tenant,
+            invitation=tenant_invitation,
+        ),
     )
 
     return user_info

backend/onyx/server/models.py

@@ -49,9 +49,9 @@ class FullUserSnapshot(BaseModel):
         )
 
 
-class InvitedUserSnapshot(BaseModel):
-    email: str
-
-
 class DisplayPriorityRequest(BaseModel):
     display_priority_map: dict[int, int]
+
+
+class InvitedUserSnapshot(BaseModel):
+    email: str

backend/onyx/server/query_and_chat/chat_backend.py

@@ -20,7 +20,7 @@ from fastapi.responses import StreamingResponse
 from pydantic import BaseModel
 from sqlalchemy.orm import Session
 
-from onyx.auth.users import current_chat_accesssible_user
+from onyx.auth.users import current_chat_accessible_user
 from onyx.auth.users import current_user
 from onyx.chat.chat_utils import create_chat_chain
 from onyx.chat.chat_utils import extract_headers
@@ -190,7 +190,7 @@ def update_chat_session_model(
 def get_chat_session(
     session_id: UUID,
     is_shared: bool = False,
-    user: User | None = Depends(current_chat_accesssible_user),
+    user: User | None = Depends(current_chat_accessible_user),
     db_session: Session = Depends(get_session),
 ) -> ChatSessionDetailResponse:
     user_id = user.id if user is not None else None
@@ -246,7 +246,7 @@ def get_chat_session(
 @router.post("/create-chat-session")
 def create_new_chat_session(
     chat_session_creation_request: ChatSessionCreationRequest,
-    user: User | None = Depends(current_chat_accesssible_user),
+    user: User | None = Depends(current_chat_accessible_user),
     db_session: Session = Depends(get_session),
 ) -> CreateChatSessionID:
     user_id = user.id if user is not None else None
@@ -381,7 +381,7 @@ async def is_connected(request: Request) -> Callable[[], bool]:
 def handle_new_chat_message(
     chat_message_req: CreateChatMessageRequest,
     request: Request,
-    user: User | None = Depends(current_chat_accesssible_user),
+    user: User | None = Depends(current_chat_accessible_user),
     _rate_limit_check: None = Depends(check_token_rate_limits),
     is_connected_func: Callable[[], bool] = Depends(is_connected),
 ) -> StreamingResponse:
@@ -473,7 +473,7 @@ def set_message_as_latest(
 @router.post("/create-chat-message-feedback")
 def create_chat_feedback(
     feedback: ChatFeedbackRequest,
-    user: User | None = Depends(current_chat_accesssible_user),
+    user: User | None = Depends(current_chat_accessible_user),
     db_session: Session = Depends(get_session),
 ) -> None:
     user_id = user.id if user else None

backend/onyx/server/query_and_chat/token_limit.py

@@ -11,7 +11,7 @@ from sqlalchemy import func
 from sqlalchemy import select
 from sqlalchemy.orm import Session
 
-from onyx.auth.users import current_chat_accesssible_user
+from onyx.auth.users import current_chat_accessible_user
 from onyx.db.engine import get_session_context_manager
 from onyx.db.models import ChatMessage
 from onyx.db.models import ChatSession
@@ -29,7 +29,7 @@ TOKEN_BUDGET_UNIT = 1_000
 
 
 def check_token_rate_limits(
-    user: User | None = Depends(current_chat_accesssible_user),
+    user: User | None = Depends(current_chat_accessible_user),
 ) -> None:
     # short circuit if no rate limits are set up
     # NOTE: result of `any_rate_limit_exists` is cached, so this call is fast 99% of the time

backend/onyx/server/settings/models.py

@@ -53,6 +53,11 @@ class Settings(BaseModel):
     auto_scroll: bool | None = False
     query_history_type: QueryHistoryType | None = None
 
+    # Image processing settings
+    image_extraction_and_analysis_enabled: bool | None = False
+    search_time_image_analysis_enabled: bool | None = False
+    image_analysis_max_size_mb: int | None = 20
+
 
 class UserSettings(Settings):
     notifications: list[Notification]

backend/onyx/server/settings/store.py

@@ -47,6 +47,7 @@ def load_settings() -> Settings:
 
     settings.anonymous_user_enabled = anonymous_user_enabled
     settings.query_history_type = ONYX_QUERY_HISTORY_TYPE
+
     return settings
 
 

backend/onyx/tools/built_in_tools.py

@@ -32,15 +32,15 @@ class InCodeToolInfo(TypedDict):
 BUILT_IN_TOOLS: list[InCodeToolInfo] = [
     InCodeToolInfo(
         cls=SearchTool,
-        description="The Search Tool allows the Assistant to search through connected knowledge to help build an answer.",
+        description="The Search Action allows the Assistant to search through connected knowledge to help build an answer.",
         in_code_tool_id=SearchTool.__name__,
         display_name=SearchTool._DISPLAY_NAME,
     ),
     InCodeToolInfo(
         cls=ImageGenerationTool,
         description=(
-            "The Image Generation Tool allows the assistant to use DALL-E 3 to generate images. "
-            "The tool will be used when the user asks the assistant to generate an image."
+            "The Image Generation Action allows the assistant to use DALL-E 3 to generate images. "
+            "The action will be used when the user asks the assistant to generate an image."
         ),
         in_code_tool_id=ImageGenerationTool.__name__,
         display_name=ImageGenerationTool._DISPLAY_NAME,
@@ -51,7 +51,7 @@ BUILT_IN_TOOLS: list[InCodeToolInfo] = [
             InCodeToolInfo(
                 cls=InternetSearchTool,
                 description=(
-                    "The Internet Search Tool allows the assistant "
+                    "The Internet Search Action allows the assistant "
                     "to perform internet searches for up-to-date information."
                 ),
                 in_code_tool_id=InternetSearchTool.__name__,
@@ -98,7 +98,7 @@ def load_builtin_tools(db_session: Session) -> None:
     for tool_id, tool in list(in_code_tool_id_to_tool.items()):
         if tool_id not in built_in_ids:
             db_session.delete(tool)
-            logger.notice(f"Removed tool no longer in built-in list: {tool.name}")
+            logger.notice(f"Removed action no longer in built-in list: {tool.name}")
 
     db_session.commit()
     logger.notice("All built-in tools are loaded/verified.")

backend/onyx/tools/models.py

@@ -9,6 +9,7 @@ from sqlalchemy.orm import Session
 from onyx.context.search.enums import SearchType
 from onyx.context.search.models import IndexFilters
 from onyx.context.search.models import InferenceSection
+from shared_configs.model_server_models import Embedding
 
 
 class ToolResponse(BaseModel):
@@ -60,11 +61,15 @@ class SearchQueryInfo(BaseModel):
     recency_bias_multiplier: float
 
 
+# None indicates that the default value should be used
 class SearchToolOverrideKwargs(BaseModel):
-    force_no_rerank: bool
-    alternate_db_session: Session | None
-    retrieved_sections_callback: Callable[[list[InferenceSection]], None] | None
-    skip_query_analysis: bool
+    force_no_rerank: bool | None = None
+    alternate_db_session: Session | None = None
+    retrieved_sections_callback: Callable[[list[InferenceSection]], None] | None = None
+    skip_query_analysis: bool | None = None
+    precomputed_query_embedding: Embedding | None = None
+    precomputed_is_keyword: bool | None = None
+    precomputed_keywords: list[str] | None = None
 
     class Config:
         arbitrary_types_allowed = True

backend/onyx/tools/tool_implementations/search/search_tool.py

@@ -3,6 +3,7 @@ from collections.abc import Callable
 from collections.abc import Generator
 from typing import Any
 from typing import cast
+from typing import TypeVar
 
 from sqlalchemy.orm import Session
 
@@ -11,7 +12,6 @@ from onyx.chat.models import AnswerStyleConfig
 from onyx.chat.models import ContextualPruningConfig
 from onyx.chat.models import DocumentPruningConfig
 from onyx.chat.models import LlmDoc
-from onyx.chat.models import OnyxContext
 from onyx.chat.models import OnyxContexts
 from onyx.chat.models import PromptConfig
 from onyx.chat.models import SectionRelevancePiece
@@ -42,6 +42,9 @@ from onyx.tools.models import SearchQueryInfo
 from onyx.tools.models import SearchToolOverrideKwargs
 from onyx.tools.models import ToolResponse
 from onyx.tools.tool import Tool
+from onyx.tools.tool_implementations.search.search_utils import (
+    context_from_inference_section,
+)
 from onyx.tools.tool_implementations.search.search_utils import llm_doc_to_dict
 from onyx.tools.tool_implementations.search_like_tool_utils import (
     build_next_prompt_for_search_like_tool,
@@ -281,16 +284,23 @@ class SearchTool(Tool[SearchToolOverrideKwargs]):
         self, override_kwargs: SearchToolOverrideKwargs | None = None, **llm_kwargs: Any
     ) -> Generator[ToolResponse, None, None]:
         query = cast(str, llm_kwargs[QUERY_FIELD])
+        precomputed_query_embedding = None
+        precomputed_is_keyword = None
+        precomputed_keywords = None
         force_no_rerank = False
         alternate_db_session = None
         retrieved_sections_callback = None
         skip_query_analysis = False
         if override_kwargs:
-            force_no_rerank = override_kwargs.force_no_rerank
+            force_no_rerank = use_alt_not_None(override_kwargs.force_no_rerank, False)
             alternate_db_session = override_kwargs.alternate_db_session
             retrieved_sections_callback = override_kwargs.retrieved_sections_callback
-            skip_query_analysis = override_kwargs.skip_query_analysis
-
+            skip_query_analysis = use_alt_not_None(
+                override_kwargs.skip_query_analysis, False
+            )
+            precomputed_query_embedding = override_kwargs.precomputed_query_embedding
+            precomputed_is_keyword = override_kwargs.precomputed_is_keyword
+            precomputed_keywords = override_kwargs.precomputed_keywords
         if self.selected_sections:
             yield from self._build_response_for_specified_sections(query)
             return
@@ -327,6 +337,9 @@ class SearchTool(Tool[SearchToolOverrideKwargs]):
                     if self.retrieval_options
                     else None
                 ),
+                precomputed_query_embedding=precomputed_query_embedding,
+                precomputed_is_keyword=precomputed_is_keyword,
+                precomputed_keywords=precomputed_keywords,
             ),
             user=self.user,
             llm=self.llm,
@@ -345,8 +358,9 @@ class SearchTool(Tool[SearchToolOverrideKwargs]):
         )
         yield from yield_search_responses(
             query,
-            search_pipeline.reranked_sections,
-            search_pipeline.final_context_sections,
+            lambda: search_pipeline.retrieved_sections,
+            lambda: search_pipeline.reranked_sections,
+            lambda: search_pipeline.final_context_sections,
             search_query_info,
             lambda: search_pipeline.section_relevance,
             self,
@@ -383,10 +397,16 @@ class SearchTool(Tool[SearchToolOverrideKwargs]):
 # SearchTool passed in to allow for access to SearchTool properties.
 # We can't just call SearchTool methods in the graph because we're operating on
 # the retrieved docs (reranking, deduping, etc.) after the SearchTool has run.
+#
+# The various inference sections are passed in as functions to allow for lazy
+# evaluation. The SearchPipeline object properties that they correspond to are
+# actually functions defined with @property decorators, and passing them into
+# this function causes them to get evaluated immediately which is undesirable.
 def yield_search_responses(
     query: str,
-    reranked_sections: list[InferenceSection],
-    final_context_sections: list[InferenceSection],
+    get_retrieved_sections: Callable[[], list[InferenceSection]],
+    get_reranked_sections: Callable[[], list[InferenceSection]],
+    get_final_context_sections: Callable[[], list[InferenceSection]],
     search_query_info: SearchQueryInfo,
     get_section_relevance: Callable[[], list[SectionRelevancePiece] | None],
     search_tool: SearchTool,
@@ -395,7 +415,7 @@ def yield_search_responses(
         id=SEARCH_RESPONSE_SUMMARY_ID,
         response=SearchResponseSummary(
             rephrased_query=query,
-            top_sections=final_context_sections,
+            top_sections=get_retrieved_sections(),
             predicted_flow=QueryFlow.QUESTION_ANSWER,
             predicted_search=search_query_info.predicted_search,
             final_filters=search_query_info.final_filters,
@@ -407,13 +427,8 @@ def yield_search_responses(
         id=SEARCH_DOC_CONTENT_ID,
         response=OnyxContexts(
             contexts=[
-                OnyxContext(
-                    content=section.combined_content,
-                    document_id=section.center_chunk.document_id,
-                    semantic_identifier=section.center_chunk.semantic_identifier,
-                    blurb=section.center_chunk.blurb,
-                )
-                for section in reranked_sections
+                context_from_inference_section(section)
+                for section in get_reranked_sections()
             ]
         ),
     )
@@ -424,6 +439,7 @@ def yield_search_responses(
         response=section_relevance,
     )
 
+    final_context_sections = get_final_context_sections()
     pruned_sections = prune_sections(
         sections=final_context_sections,
         section_relevance_list=section_relevance_list_impl(
@@ -438,3 +454,10 @@ def yield_search_responses(
     llm_docs = [llm_doc_from_inference_section(section) for section in pruned_sections]
 
     yield ToolResponse(id=FINAL_CONTEXT_DOCUMENTS_ID, response=llm_docs)
+
+
+T = TypeVar("T")
+
+
+def use_alt_not_None(value: T | None, alt: T) -> T:
+    return value if value is not None else alt

backend/onyx/tools/tool_implementations/search/search_utils.py

@@ -1,4 +1,5 @@
 from onyx.chat.models import LlmDoc
+from onyx.chat.models import OnyxContext
 from onyx.context.search.models import InferenceSection
 from onyx.prompts.prompt_utils import clean_up_source
 
@@ -29,3 +30,12 @@ def section_to_dict(section: InferenceSection, section_num: int) -> dict:
             "%B %d, %Y %H:%M"
         )
     return doc_dict
+
+
+def context_from_inference_section(section: InferenceSection) -> OnyxContext:
+    return OnyxContext(
+        content=section.combined_content,
+        document_id=section.center_chunk.document_id,
+        semantic_identifier=section.center_chunk.semantic_identifier,
+        blurb=section.center_chunk.blurb,
+    )

backend/onyx/tools/tool_runner.py

@@ -1,6 +1,8 @@
 from collections.abc import Callable
 from collections.abc import Generator
 from typing import Any
+from typing import Generic
+from typing import TypeVar
 
 from onyx.llm.interfaces import LLM
 from onyx.llm.models import PreviousMessage
@@ -11,10 +13,16 @@ from onyx.tools.tool import Tool
 from onyx.utils.threadpool_concurrency import run_functions_tuples_in_parallel
 
 
-class ToolRunner:
-    def __init__(self, tool: Tool, args: dict[str, Any]):
+R = TypeVar("R")
+
+
+class ToolRunner(Generic[R]):
+    def __init__(
+        self, tool: Tool[R], args: dict[str, Any], override_kwargs: R | None = None
+    ):
         self.tool = tool
         self.args = args
+        self.override_kwargs = override_kwargs
 
         self._tool_responses: list[ToolResponse] | None = None
 
@@ -27,7 +35,9 @@ class ToolRunner:
             return
 
         tool_responses: list[ToolResponse] = []
-        for tool_response in self.tool.run(**self.args):
+        for tool_response in self.tool.run(
+            override_kwargs=self.override_kwargs, **self.args
+        ):
             yield tool_response
             tool_responses.append(tool_response)
 

backend/onyx/utils/threadpool_concurrency.py

@@ -118,7 +118,7 @@ def run_functions_in_parallel(
     return results
 
 
-class TimeoutThread(threading.Thread):
+class TimeoutThread(threading.Thread, Generic[R]):
     def __init__(
         self, timeout: float, func: Callable[..., R], *args: Any, **kwargs: Any
     ):
@@ -159,3 +159,34 @@ def run_with_timeout(
         task.end()
 
     return task.result
+
+
+# NOTE: this function should really only be used when run_functions_tuples_in_parallel is
+# difficult to use. It's up to the programmer to call wait_on_background on the thread after
+# the code you want to run in parallel is finished. As with all python thread parallelism,
+# this is only useful for I/O bound tasks.
+def run_in_background(
+    func: Callable[..., R], *args: Any, **kwargs: Any
+) -> TimeoutThread[R]:
+    """
+    Runs a function in a background thread. Returns a TimeoutThread object that can be used
+    to wait for the function to finish with wait_on_background.
+    """
+    context = contextvars.copy_context()
+    # Timeout not used in the non-blocking case
+    task = TimeoutThread(-1, context.run, func, *args, **kwargs)
+    task.start()
+    return task
+
+
+def wait_on_background(task: TimeoutThread[R]) -> R:
+    """
+    Used in conjunction with run_in_background. blocks until the task is finished,
+    then returns the result of the task.
+    """
+    task.join()
+
+    if task.exception is not None:
+        raise task.exception
+
+    return task.result

backend/onyx/utils/url.py

@@ -0,0 +1,43 @@
+from urllib.parse import parse_qs
+from urllib.parse import urlencode
+from urllib.parse import urlparse
+from urllib.parse import urlunparse
+
+
+def add_url_params(url: str, params: dict) -> str:
+    """
+    Add parameters to a URL, handling existing parameters properly.
+
+    Args:
+        url: The original URL
+        params: Dictionary of parameters to add
+
+    Returns:
+        URL with added parameters
+    """
+    # Parse the URL
+    parsed_url = urlparse(url)
+
+    # Get existing query parameters
+    query_params = parse_qs(parsed_url.query)
+
+    # Update with new parameters
+    for key, value in params.items():
+        query_params[key] = [value]
+
+    # Build the new query string
+    new_query = urlencode(query_params, doseq=True)
+
+    # Reconstruct the URL with the new query string
+    new_url = urlunparse(
+        (
+            parsed_url.scheme,
+            parsed_url.netloc,
+            parsed_url.path,
+            parsed_url.params,
+            new_query,
+            parsed_url.fragment,
+        )
+    )
+
+    return new_url

backend/requirements/dev.txt

@@ -1,4 +1,4 @@
-black==23.3.0
+black==23.7.0
 boto3-stubs[s3]==1.34.133
 celery-types==0.19.0
 cohere==5.6.1

backend/scripts/chat_history_seeding.py

@@ -0,0 +1,45 @@
+import argparse
+import logging
+from logging import getLogger
+
+from onyx.db.seeding.chat_history_seeding import seed_chat_history
+
+# Configure the logger
+logging.basicConfig(
+    level=logging.INFO,  # Set the log level (DEBUG, INFO, WARNING, ERROR, CRITICAL)
+    format="%(asctime)s - %(name)s - %(levelname)s - %(message)s",  # Log format
+    handlers=[logging.StreamHandler()],  # Output logs to console
+)
+
+logger = getLogger(__name__)
+
+
+def go_main(num_sessions: int, num_messages: int, num_days: int) -> None:
+    seed_chat_history(num_sessions, num_messages, num_days)
+
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser(description="Seed chat history")
+    parser.add_argument(
+        "--sessions",
+        type=int,
+        default=2048,
+        help="Number of chat sessions to seed",
+    )
+
+    parser.add_argument(
+        "--messages",
+        type=int,
+        default=4,
+        help="Number of chat messages to seed per session",
+    )
+
+    parser.add_argument(
+        "--days",
+        type=int,
+        default=90,
+        help="Number of days looking backwards over which to seed the timestamps with",
+    )
+
+    args = parser.parse_args()
+    go_main(args.sessions, args.messages, args.days)