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onyx
backend/onyx/skills/ingest_from_github.py
.py
"""Fetch and discover skill bundles in GitHub repository archives.""" from __future__ import annotations import io import tarfile import zipfile from pathlib import PurePosixPath from typing import Final from onyx.error_handling.error_codes import OnyxErrorCode from onyx.error_handling.exceptions import OnyxError fr...
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backend/onyx/skills/bundle.py
.py
"""Custom skill bundle validation and helpers.""" from __future__ import annotations import hashlib import io import os import stat import sys import zipfile from contextlib import ExitStack from copy import copy from dataclasses import dataclass from typing import IO, Final from onyx.error_handling.error_codes impo...
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backend/onyx/skills/validation.py
.py
"""Validation for custom skill bundles already stored in FileStore.""" from __future__ import annotations import io import zipfile from dataclasses import dataclass from onyx.db.file_record import FileRecordNotFoundError from onyx.db.models import Skill from onyx.error_handling.exceptions import OnyxError from onyx....
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onyx
backend/onyx/skills/built_in.py
.py
"""Codified built-in skill definitions. ``_REGISTRY`` is the single source of truth: one provider per built-in skill, one of two kinds — - ``SeededBuiltInProvider``: a plain built-in skill whose ``skill`` rows are owned by Alembic migrations. - ``ExternalAppBuiltInProvider``: a built-in skill backed by a connectabl...
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backend/onyx/skills/builtin/google-drive/gdrive_api.py
.py
#!/usr/bin/env python3 """Google Drive wrapper for the Onyx Craft sandbox. Common operations exposed as subcommands. Output is JSON on stdout. No auth is handled here: the sandbox egress proxy injects the connected user's bearer token. Writes (create/upload/edit/delete) may pause for user approval at the proxy. """ i...
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backend/onyx/skills/builtin/google-drive/gslides_api.py
.py
#!/usr/bin/env python3 """Google Slides wrapper for the Onyx Craft sandbox. Common operations exposed as subcommands. Output is JSON on stdout. No auth is handled here: the sandbox egress proxy injects the connected user's bearer token. Writes (create / add-slide / text edits / batch-update) may pause for user approva...
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backend/onyx/skills/builtin/google-drive/gsheets_api.py
.py
#!/usr/bin/env python3 """Google Sheets wrapper for the Onyx Craft sandbox. Common operations exposed as subcommands. Output is JSON on stdout. No auth is handled here: the sandbox egress proxy injects the connected user's bearer token. Writes (create / update / append / clear / batch-update) may pause for user approv...
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onyx
backend/onyx/skills/builtin/pptx/scripts/thumbnail.py
.py
"""Create thumbnail grids from PowerPoint presentation slides. Creates a grid layout of slide thumbnails for quick visual analysis. Labels each thumbnail with its XML filename (e.g., slide1.xml). Hidden slides are shown with a placeholder pattern. Usage: python thumbnail.py input.pptx [output_prefix] [--cols N] ...
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backend/onyx/skills/builtin/pptx/scripts/clean.py
.py
"""Remove unreferenced files from an unpacked PPTX directory. Usage: python clean.py <unpacked_dir> Example: python clean.py unpacked/ This script removes: - Orphaned slides (not in sldIdLst) and their relationships - [trash] directory (unreferenced files) - Orphaned .rels files for deleted resources - Unreferen...
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onyx
backend/onyx/skills/builtin/pptx/scripts/preview.py
.py
"""Generate slide preview images from a PowerPoint file. Converts PPTX -> PDF -> JPEG slides with caching. If cached slides already exist and are up-to-date, returns them without reconverting. Output protocol (stdout): Line 1: status — one of CACHED, GENERATED, ERROR_NOT_FOUND, ERROR_NO_PDF Lines 2+: sorted a...
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backend/onyx/skills/builtin/pptx/scripts/lint.py
.py
"""Deterministic layout linter for PowerPoint files. Statically checks a .pptx for mechanical layout defects that vision QA is slow and unreliable at catching: BOUNDS shape partially or fully off the slide canvas MARGIN text content closer than the profile margin (0.5" standard / 0.25" den...
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onyx
backend/onyx/skills/builtin/pptx/scripts/add_slide.py
.py
"""Add a new slide to an unpacked PPTX directory. Usage: python add_slide.py <unpacked_dir> <source> The source can be: - A slide file (e.g., slide2.xml) - duplicates the slide - A layout file (e.g., slideLayout2.xml) - creates from layout Examples: python add_slide.py unpacked/ slide2.xml # Duplicates s...
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backend/onyx/skills/builtin/pptx/scripts/chart.py
.py
"""Deck-styled matplotlib baseline for slide charts. Usage (from the session workspace): import sys sys.path.insert(0, ".opencode/skills/pptx/scripts") import matplotlib matplotlib.use("Agg") import matplotlib.pyplot as plt from chart import deck_style, save_for_slide with deck_style(pale...
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backend/onyx/skills/builtin/pptx/scripts/office/unpack.py
.py
"""Unpack Office files (DOCX, PPTX, XLSX) for editing. Extracts the ZIP archive, pretty-prints XML files, and optionally: - Merges adjacent runs with identical formatting (DOCX only) - Simplifies adjacent tracked changes from same author (DOCX only) Usage: python unpack.py <office_file> <output_dir> [options] Ex...
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backend/onyx/skills/builtin/pptx/scripts/office/validate.py
.py
""" Command line tool to validate Office document XML files against XSD schemas and tracked changes. Usage: python validate.py <path> [--original <original_file>] [--auto-repair] [--author NAME] The first argument can be either: - An unpacked directory containing the Office document XML files - A packed Office fi...
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backend/onyx/skills/builtin/pptx/scripts/office/soffice.py
.py
""" Helper for running LibreOffice (soffice) in environments where AF_UNIX sockets may be blocked (e.g., sandboxed VMs). Detects the restriction at runtime and applies an LD_PRELOAD shim if needed. Usage: from office.soffice import run_soffice, get_soffice_env # Option 1 – run soffice directly result = r...
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backend/onyx/skills/builtin/pptx/scripts/office/pack.py
.py
"""Pack a directory into a DOCX, PPTX, or XLSX file. Validates with auto-repair, condenses XML formatting, and creates the Office file. Usage: python pack.py <input_directory> <output_file> [--original <file>] [--validate true|false] Examples: python pack.py unpacked/ output.docx --original input.docx py...
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backend/onyx/skills/builtin/pptx/scripts/office/validators/redlining.py
.py
""" Validator for tracked changes in Word documents. """ import subprocess import tempfile import zipfile from pathlib import Path class RedliningValidator: def __init__(self, unpacked_dir, original_docx, verbose=False, author="Claude"): self.unpacked_dir = Path(unpacked_dir) self.original_docx =...
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backend/onyx/skills/builtin/pptx/scripts/office/validators/pptx.py
.py
""" Validator for PowerPoint presentation XML files against XSD schemas. """ import re from .base import BaseSchemaValidator class PPTXSchemaValidator(BaseSchemaValidator): PRESENTATIONML_NAMESPACE = ( "http://schemas.openxmlformats.org/presentationml/2006/main" ) ELEMENT_RELATIONSHIP_TYPES = {...
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backend/onyx/skills/builtin/pptx/scripts/office/validators/docx.py
.py
""" Validator for Word document XML files against XSD schemas. """ import random import re import tempfile import zipfile import defusedxml.minidom import lxml.etree from .base import BaseSchemaValidator class DOCXSchemaValidator(BaseSchemaValidator): WORD_2006_NAMESPACE = "http://schemas.openxmlformats.org/wo...
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backend/onyx/skills/builtin/pptx/scripts/office/validators/base.py
.py
""" Base validator with common validation logic for document files. """ import re from pathlib import Path import defusedxml.minidom import lxml.etree class BaseSchemaValidator: IGNORED_VALIDATION_ERRORS = [ "hyphenationZone", "purl.org/dc/terms", ] UNIQUE_ID_REQUIREMENTS = { "c...
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backend/onyx/skills/builtin/pptx/scripts/office/helpers/merge_runs.py
.py
"""Merge adjacent runs with identical formatting in DOCX. Merges adjacent <w:r> elements that have identical <w:rPr> properties. Works on runs in paragraphs and inside tracked changes (<w:ins>, <w:del>). Also: - Removes rsid attributes from runs (revision metadata that doesn't affect rendering) - Removes proofErr ele...
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onyx
backend/onyx/skills/builtin/pptx/scripts/office/helpers/simplify_redlines.py
.py
"""Simplify tracked changes by merging adjacent w:ins or w:del elements. Merges adjacent <w:ins> elements from the same author into a single element. Same for <w:del> elements. This makes heavily-redlined documents easier to work with by reducing the number of tracked change wrappers. Rules: - Only merges w:ins with ...
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onyx
backend/onyx/skills/builtin/gmail/gmail_api.py
.py
#!/usr/bin/env python3 """Gmail wrapper for the Onyx Craft sandbox. Common operations exposed as subcommands. Output is JSON on stdout. The Authorization header is injected by the Onyx egress gateway from the connected user's credentials, so no token handling happens here. """ import argparse import base64 import jso...
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onyx
backend/onyx/skills/builtin/hubspot/hubspot_api.py
.py
#!/usr/bin/env python3 """HubSpot CRM (REST v3) wrapper for the Onyx Craft sandbox. Common CRM operations exposed as subcommands. Authentication is handled by the egress proxy, which injects the connected user's bearer token on the wire — this script sends no credentials itself. User input is passed as JSON request bo...
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onyx
backend/onyx/skills/builtin/slack/slack_api.py
.py
#!/usr/bin/env python3 """Slack Web API wrapper for the Onyx Craft sandbox. Common Slack operations exposed as subcommands. Output is JSON on stdout. Slack signals failure with {"ok": false, "error": "..."} (still HTTP 200). """ import argparse import json import os import re import sys import urllib.error import url...
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onyx
backend/onyx/skills/builtin/linear/linear_api.py
.py
#!/usr/bin/env python3 """Linear (GraphQL) wrapper for the Onyx Craft sandbox. Common operations exposed as subcommands. User input is passed as GraphQL *variables* (never string-formatted into the query), so there is no injection risk. Output is JSON on stdout. """ import argparse import json import re import sys im...
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onyx
backend/onyx/skills/builtin/notion/notion_api.py
.py
#!/usr/bin/env python3 """Notion REST API wrapper for the Onyx Craft sandbox. Common Notion operations exposed as subcommands. The connected user's token is injected by the egress gateway, so this script sends no credentials itself. Output is JSON on stdout; Notion signals failure with a non-2xx status and a ``{"code"...
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onyx
backend/onyx/skills/builtin/google-calendar/gcal_api.py
.py
#!/usr/bin/env python3 """Google Calendar wrapper for the Onyx Craft sandbox. Common operations exposed as subcommands. Output is JSON on stdout. """ import argparse import json import sys import urllib.error import urllib.parse import urllib.request from typing import Any _BASE = "https://www.googleapis.com/calenda...
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onyx
backend/onyx/file_store/utils.py
.py
import base64 from collections.abc import Callable from io import BytesIO from typing import cast from uuid import UUID import requests from sqlalchemy.orm import Session from onyx.configs.app_configs import WEB_DOMAIN from onyx.configs.constants import FileOrigin from onyx.db.models import UserFile from onyx.db.user...
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onyx
backend/onyx/file_store/staging.py
.py
from collections.abc import Callable from typing import IO, Any from sqlalchemy.orm import Session from onyx.configs.constants import FileOrigin from onyx.db.file_record import ( get_staged_file_ids_by_index_attempt_id, get_staged_file_ids_for_cc_pair_excluding_attempt, update_filerecord_origin, ) from on...
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onyx
backend/onyx/file_store/gcs_file_store.py
.py
from __future__ import annotations import json import tempfile import uuid from io import BytesIO from typing import IO, TYPE_CHECKING, Any, cast import puremagic from sqlalchemy.orm import Session if TYPE_CHECKING: from google.cloud.storage import Client as GCSClient from onyx.configs.constants import FileOrig...
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onyx
backend/onyx/file_store/models.py
.py
import base64 import threading from enum import Enum from typing import Callable, NotRequired from pydantic import BaseModel from typing_extensions import TypedDict # noreorder # Sidecar attribute names used by the lazy-content materialization shim. They # live on the instance via object.__setattr__ rather than as P...
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backend/onyx/file_store/azure_blob_file_store.py
.py
from __future__ import annotations import tempfile import uuid from io import BytesIO from typing import IO, TYPE_CHECKING, Any, cast import puremagic from sqlalchemy.orm import Session if TYPE_CHECKING: from azure.storage.blob import BlobServiceClient from onyx.configs.constants import FileOrigin from onyx.db....
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onyx
backend/onyx/file_store/constants.py
.py
MAX_IN_MEMORY_SIZE = 30 * 1024 * 1024 # 30MB STANDARD_CHUNK_SIZE = 10 * 1024 * 1024 # 10MB chunks # Marks a blob a content-free chat turn produced, so cleanup can find it by the # record itself rather than by anything that can expire. INCOGNITO_SESSION_METADATA_KEY = "incognito_session_id"
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backend/onyx/file_store/postgres_file_store.py
.py
"""PostgreSQL-backed file store using Large Objects. Stores file content directly in PostgreSQL via the Large Object facility, eliminating the need for an external S3/MinIO service. """ import tempfile import uuid from io import BytesIO from typing import IO, Any, cast import puremagic from psycopg2.extensions impor...
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backend/onyx/file_store/file_store.py
.py
import hashlib import tempfile import uuid from abc import ABC, abstractmethod from io import BytesIO from typing import IO, TYPE_CHECKING, Any, NotRequired, TypedDict, cast import boto3 import puremagic from botocore.config import Config from botocore.exceptions import ClientError from sqlalchemy.orm import Session ...
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backend/onyx/file_store/document_batch_storage.py
.py
import json from abc import ABC, abstractmethod from enum import Enum from io import StringIO from typing import List, Optional, TypeAlias from pydantic import BaseModel from onyx.configs.constants import FileOrigin from onyx.connectors.models import DocExtractionContext, DocIndexingContext, Document from onyx.file_s...
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onyx
backend/onyx/file_store/s3_key_utils.py
.py
""" S3 key sanitization utilities for ensuring AWS S3 compatibility. This module provides utilities for sanitizing file names to be compatible with AWS S3 object key naming guidelines while ensuring uniqueness when significant sanitization occurs. Reference: https://docs.aws.amazon.com/AmazonS3/latest/userguide/objec...
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backend/onyx/chat/prompt_utils.py
.py
from collections.abc import Callable, Sequence from uuid import UUID from sqlalchemy.orm import Session from onyx.db.memory import UserMemoryContext from onyx.db.persona import get_default_behavior_persona from onyx.db.user_file import calculate_user_files_token_count from onyx.file_store.models import FileDescriptor...
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onyx
backend/onyx/chat/save_chat.py
.py
import json import mimetypes from sqlalchemy.orm import Session from onyx.chat.chat_state import ChatStateContainer, SearchDocKey from onyx.configs.constants import DocumentSource from onyx.context.search.models import SearchDoc from onyx.db.chat import ( add_search_docs_to_chat_message, add_search_docs_to_to...
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onyx
backend/onyx/chat/incognito.py
.py
"""Recording policy for incognito chat turns. An incognito chat is an ordinary chat carrying a mode. ``IncognitoRecordMode`` is the only policy object: behavior is exposed as derived properties on it, so the legal states are the only representable ones and no caller can assemble an illegal combination out of loose boo...
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backend/onyx/chat/chat_processing_checker.py
.py
from uuid import UUID from onyx.cache.interface import CacheBackend from onyx.utils.logger import setup_logger logger = setup_logger() PREFIX = "chatprocessing" FENCE_PREFIX = f"{PREFIX}_fence" FENCE_TTL = 30 * 60 # 30 minutes def _get_fence_key(chat_session_id: UUID) -> str: """Generate the cache key for a c...
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backend/onyx/chat/models.py
.py
from collections.abc import Iterator from typing import Any, Callable from uuid import UUID from pydantic import BaseModel from onyx.configs.constants import MessageType from onyx.context.search.models import SearchDoc from onyx.file_store.models import ChatFileType, InMemoryChatFile from onyx.server.query_and_chat.m...
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onyx
backend/onyx/chat/tool_call_args_streaming.py
.py
from collections.abc import Generator, Mapping from typing import Any, Type from onyx.llm.model_response import ChatCompletionDeltaToolCall from onyx.server.query_and_chat.placement import Placement from onyx.server.query_and_chat.streaming_models import Packet, ToolCallArgumentDelta from onyx.tools.built_in_tools imp...
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backend/onyx/chat/citation_processor.py
.py
""" Dynamic Citation Processor for LLM Responses This module provides a citation processor that can: - Accept citation number to SearchDoc mappings dynamically - Process token streams from LLMs to extract citations - Handle citations in three modes: REMOVE, KEEP_MARKERS, or HYPERLINK - Emit CitationInfo objects for de...
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backend/onyx/chat/stop_signal_checker.py
.py
from uuid import UUID from onyx.cache.interface import CacheBackend PREFIX = "chatsessionstop" FENCE_PREFIX = f"{PREFIX}_fence" FENCE_TTL = 10 * 60 # 10 minutes def _get_fence_key(chat_session_id: UUID) -> str: """Generate the cache key for a chat session stop signal fence. Args: chat_session_id: ...
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backend/onyx/chat/stream_buffer.py
.py
"""Transient cross-pod buffer of a chat run's outbound stream. The run's writer appends the exact NDJSON lines the SSE endpoint sends, stored in the shared cache as zlib-compressed, sequence-numbered chunks so any api-server pod can replay and tail an in-flight run. The cache is the only coordination channel available...
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backend/onyx/chat/emitter.py
.py
import threading from queue import Queue from onyx.server.query_and_chat.placement import Placement from onyx.server.query_and_chat.streaming_models import Packet class Emitter: """Routes packets from LLM/tool execution to the ``_run_models`` drain loop. Tags every packet with ``model_index`` and places it ...
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backend/onyx/chat/compression.py
.py
""" Chat history compression via summarization. This module handles compressing long chat histories by summarizing older messages while keeping recent messages verbatim. Summaries are branch-aware: each summary's parent_message_id points to the last message when compression triggered, making it part of the tree struc...
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backend/onyx/chat/chat_utils.py
.py
import json import re from collections.abc import Callable from typing import cast from uuid import UUID from fastapi.datastructures import Headers from pydantic import BaseModel from sqlalchemy.orm import Session from onyx.chat.incognito import ( incognito_allowed_for_user, resolve_incognito_record_mode, ) f...
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onyx
backend/onyx/chat/chat_state.py
.py
import threading from collections.abc import Callable from dataclasses import dataclass from uuid import UUID from pydantic import BaseModel from onyx.cache.interface import CacheBackend from onyx.chat.citation_processor import CitationMapping from onyx.chat.models import ( ChatLoadedFile, ChatMessageSimple, ...
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backend/onyx/chat/incognito_context.py
.py
"""Ephemeral conversation context for incognito chat turns. USAGE_ONLY must carry the live conversation outside Postgres, so it lives in Redis: one value per session, a sliding TTL that starts over on every save, and explicit teardown when the chat closes. Keys are tenant-prefixed by the Redis client. Redis may evict ...
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backend/onyx/chat/process_message.py
.py
""" IMPORTANT: familiarize yourself with the design concepts prior to contributing to this file. An overview can be found in the README.md file in this directory. """ import contextvars import io import os import queue import re import threading import time import traceback from collections.abc import Callable, Genera...
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backend/onyx/chat/llm_step.py
.py
import json import re import time import uuid from collections.abc import Callable, Generator, Mapping, Sequence from html import unescape from typing import Any, cast from onyx.chat.chat_state import ChatStateContainer from onyx.chat.citation_processor import DynamicCitationProcessor from onyx.chat.emitter import Emi...
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backend/onyx/chat/llm_loop.py
.py
import json import time from collections.abc import Callable from typing import Any, Literal from onyx.chat.chat_state import ChatStateContainer from onyx.chat.chat_utils import ( build_python_chat_files_from_search_docs, create_tool_call_failure_messages, ) from onyx.chat.citation_processor import ( Citat...
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backend/onyx/chat/citation_utils.py
.py
import re from onyx.chat.citation_processor import CitationMapping, DynamicCitationProcessor from onyx.context.search.models import SearchDocsResponse from onyx.tools.built_in_tools import CITEABLE_TOOLS_NAMES from onyx.tools.models import ToolResponse def update_citation_processor_from_tool_response( tool_respo...
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backend/onyx/indexing/port_reembed.py
.py
"""Re-embed stored PRESENT chunks under FUTURE search settings without re-fetching the source document (solution-design.md §5.1.1). Two strategies, chosen by comparing PRESENT vs FUTURE settings: - MODEL_ONLY (model / prefix / normalize / dimension changed, enrichment did not): the embedding input is unchanged from...
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backend/onyx/indexing/document_push.py
.py
"""Document push — deliver successfully indexed documents to an external endpoint. This module owns the document push payload shape and the config-driven sink. There are two delivery mechanisms for the same payload: - the config-driven sink below, configured entirely through environment variables (DOCUMENT_PUSH_END...
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backend/onyx/indexing/indexing_heartbeat.py
.py
from abc import ABC, abstractmethod class IndexingHeartbeatInterface(ABC): """Defines a callback interface to be passed to to run_indexing_entrypoint.""" @abstractmethod def should_stop(self) -> bool: """Signal to stop the looping function in flight.""" @abstractmethod def progress(s...
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backend/onyx/indexing/chunk_batch_store.py
.py
import pickle import shutil import tempfile from collections.abc import Iterator from pathlib import Path from onyx.indexing.models import IndexChunk class ChunkBatchStore: """Manages serialization of embedded chunks to a temporary directory. Owns the temp directory lifetime and provides save/load/stream/sc...
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backend/onyx/indexing/models.py
.py
import contextlib from collections.abc import Generator from typing import TYPE_CHECKING, Optional, Protocol from pydantic import BaseModel, Field from onyx.access.models import DocumentAccess from onyx.connectors.models import Document from onyx.db.enums import EmbeddingPrecision, SwitchoverType from onyx.utils.logg...
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backend/onyx/indexing/embedder.py
.py
import time from abc import ABC, abstractmethod from collections import defaultdict import sentry_sdk from onyx.connectors.models import ( ConnectorFailure, ConnectorStopSignal, DocumentFailure, ) from onyx.db.models import SearchSettings from onyx.document_index.chunk_content_enrichment import ( gene...
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backend/onyx/indexing/vector_db_insertion.py
.py
import time from collections.abc import Callable, Iterable from http import HTTPStatus from itertools import chain, groupby import httpx import sentry_sdk from onyx.connectors.models import ConnectorFailure, DocumentFailure from onyx.document_index.interfaces_new import ( DocumentIndex, DocumentInsertionRecor...
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backend/onyx/indexing/chunker.py
.py
from chonkie import SentenceChunker from onyx.configs.app_configs import ( AVERAGE_SUMMARY_EMBEDDINGS, BLURB_SIZE, LARGE_CHUNK_RATIO, MINI_CHUNK_SIZE, SKIP_METADATA_IN_CHUNK, USE_CHUNK_SUMMARY, USE_DOCUMENT_SUMMARY, ) from onyx.configs.constants import RETURN_SEPARATOR, SECTION_SEPARATOR, D...
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backend/onyx/indexing/indexing_pipeline.py
.py
import time from collections import defaultdict from collections.abc import Callable, Generator, Iterator from contextlib import contextmanager from typing import NamedTuple, Protocol import sentry_sdk from pydantic import BaseModel, ConfigDict from sqlalchemy.orm import Session from onyx.configs.app_configs import (...
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backend/onyx/indexing/persistent_indexing.py
.py
"""Helpers for the PERSISTENT_INDEXING catch-all error path. These are used by the docfetching / docprocessing task entrypoints to convert unanticipated exceptions into ConnectorFailure records so the index attempt can finish as COMPLETED_WITH_ERRORS instead of FAILED. Use only as a last-resort catch-all; connectors s...
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backend/onyx/indexing/chunking/__init__.py
.py
from onyx.indexing.chunking.document_chunker import DocumentChunker from onyx.indexing.chunking.section_chunker import extract_blurb __all__ = [ "DocumentChunker", "extract_blurb", ]
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backend/onyx/indexing/chunking/image_section_chunker.py
.py
from onyx.connectors.models import Section from onyx.indexing.chunking.section_chunker import ( AccumulatorState, ChunkPayload, SectionChunker, SectionChunkerOutput, ) from onyx.utils.text_processing import clean_text class ImageChunker(SectionChunker): def chunk_section( self, sec...
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backend/onyx/indexing/chunking/text_section_chunker.py
.py
from typing import cast from chonkie import SentenceChunker from onyx.configs.constants import SECTION_SEPARATOR from onyx.connectors.models import Section from onyx.indexing.chunking.section_chunker import ( AccumulatorState, ChunkPayload, SectionChunker, SectionChunkerOutput, ) from onyx.natural_lan...
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backend/onyx/indexing/chunking/section_chunker.py
.py
from abc import ABC, abstractmethod from collections.abc import Sequence from typing import cast from chonkie import SentenceChunker from pydantic import BaseModel, Field from onyx.connectors.models import IndexingDocument, Section from onyx.indexing.models import DocAwareChunk def extract_blurb(text: str, blurb_sp...
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backend/onyx/indexing/chunking/document_chunker.py
.py
from chonkie import SentenceChunker from onyx.connectors.models import ( IndexingDocument, Section, SectionType, TabularSection, ) from onyx.indexing.chunking.image_section_chunker import ImageChunker from onyx.indexing.chunking.section_chunker import ( AccumulatorState, ChunkPayload, Secti...
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backend/onyx/indexing/chunking/tabular_section_chunker/sheet_descriptor.py
.py
from onyx.indexing.chunking.tabular_section_chunker.analysis import SheetAnalysis from onyx.indexing.chunking.tabular_section_chunker.util import label, pack_lines from onyx.natural_language_processing.utils import BaseTokenizer MAX_NUMERIC_COLS = 12 MAX_CATEGORICAL_COLS = 6 MAX_CATEGORICAL_WITH_SAMPLES = 4 MAX_DISTIN...
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backend/onyx/indexing/chunking/tabular_section_chunker/total_descriptor.py
.py
from collections import Counter from onyx.indexing.chunking.tabular_section_chunker.analysis import ( NumericAggregate, SheetAnalysis, ) from onyx.indexing.chunking.tabular_section_chunker.util import label, pack_lines from onyx.natural_language_processing.utils import BaseTokenizer TOTALS_HEADER = ( "Tot...
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backend/onyx/indexing/chunking/tabular_section_chunker/analysis.py
.py
from collections import Counter from collections.abc import Iterable from datetime import date from dateutil.parser import parse as parse_dt from pydantic import BaseModel, ConfigDict, Field from onyx.utils.csv_utils import ParsedRow CATEGORICAL_DISTINCT_THRESHOLD = 20 ID_NAME_TOKENS = {"id", "uuid", "uid", "guid", ...
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backend/onyx/indexing/chunking/tabular_section_chunker/tabular_section_chunker.py
.py
import io from collections.abc import Iterable from itertools import chain from pydantic import BaseModel from onyx.connectors.models import Section, TabularSection from onyx.file_store.file_store import get_default_file_store from onyx.indexing.chunking.section_chunker import ( AccumulatorState, ChunkPayload...
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backend/onyx/indexing/chunking/tabular_section_chunker/util.py
.py
from onyx.natural_language_processing.utils import BaseTokenizer, count_tokens def label(name: str) -> str: """Render a column name with a space-substituted friendly alias in parens for underscored headers so retrieval matches either surface form (e.g. ``MTTR_hours`` → ``MTTR_hours (MTTR hours)``).""" ...
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backend/onyx/indexing/chunking/tabular_section_chunker/__init__.py
.py
from onyx.indexing.chunking.tabular_section_chunker.tabular_section_chunker import ( TabularChunker, ) __all__ = ["TabularChunker"]
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backend/onyx/indexing/adapters/document_indexing_adapter.py
.py
import contextlib import time from collections.abc import Generator from sqlalchemy.orm import Session from onyx.access.access import get_access_for_documents from onyx.access.models import DocumentAccess from onyx.configs.constants import DEFAULT_BOOST from onyx.connectors.models import Document, IndexAttemptMetadat...
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backend/onyx/indexing/adapters/user_file_indexing_adapter.py
.py
from __future__ import annotations import contextlib import datetime import time from collections import defaultdict from collections.abc import Generator from uuid import UUID from sqlalchemy import select from sqlalchemy.exc import OperationalError from sqlalchemy.orm import Session, selectinload from onyx.access....
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backend/onyx/secondary_llm_flows/time_filter.py
.py
import re from datetime import datetime, time, timedelta, timezone from enum import StrEnum from dateutil.relativedelta import relativedelta from pydantic import BaseModel from onyx.configs.constants import MessageType from onyx.context.search.models import BaseFilters, TimeRange from onyx.llm.interfaces import LLM f...
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backend/onyx/secondary_llm_flows/chat_session_naming.py
.py
from collections.abc import Sequence from onyx.chat.llm_step import translate_history_to_llm_format from onyx.chat.models import ChatMessageSimple from onyx.configs.constants import MessageType from onyx.db.models import ChatMessage from onyx.llm.interfaces import LLM from onyx.llm.models import ReasoningEffort from o...
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backend/onyx/secondary_llm_flows/query_expansion.py
.py
from onyx.configs.constants import MessageType from onyx.llm.interfaces import LLM from onyx.llm.models import ( AssistantMessage, ChatCompletionMessage, ReasoningEffort, SystemMessage, UserMessage, ) from onyx.prompts.prompt_utils import get_current_llm_day_time from onyx.prompts.search_prompts imp...
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backend/onyx/secondary_llm_flows/document_filter.py
.py
import json import re from onyx.configs.chat_configs import SECONDARY_LLM_FLOW_TIMEOUT_S from onyx.context.search.models import ( ContextExpansionType, InferenceChunk, InferenceSection, ) from onyx.llm.interfaces import LLM from onyx.llm.models import ReasoningEffort, UserMessage from onyx.prompts.search_p...
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backend/onyx/secondary_llm_flows/source_filter.py
.py
import json from pydantic import BaseModel from onyx.configs.constants import DocumentSource, MessageType from onyx.llm.interfaces import LLM from onyx.llm.models import ChatCompletionMessage, ReasoningEffort, UserMessage from onyx.prompts.filter_extration import SOURCE_SCOPE_DECISION_PROMPT from onyx.tools.models im...
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backend/onyx/secondary_llm_flows/memory_update.py
.py
from onyx.configs.constants import MessageType from onyx.llm.interfaces import LLM from onyx.llm.models import ReasoningEffort, UserMessage from onyx.prompts.basic_memory import FULL_MEMORY_UPDATE_PROMPT from onyx.tools.models import ChatMinimalTextMessage from onyx.tracing.flows import LLMFlow from onyx.tracing.llm_ut...
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backend/onyx/configs/agent_configs.py
.py
import os AGENT_DEFAULT_RETRIEVAL_HITS = 15 AGENT_DEFAULT_RERANKING_HITS = 10 AGENT_DEFAULT_MAX_VERIFIVATION_HITS = 30 AGENT_DEFAULT_SUB_QUESTION_MAX_CONTEXT_HITS = 8 AGENT_DEFAULT_NUM_DOCS_FOR_INITIAL_DECOMPOSITION = 3 AGENT_DEFAULT_NUM_DOCS_FOR_REFINED_DECOMPOSITION = 5 AGENT_DEFAULT_MAX_STREAMED_DOCS_FOR_INITIAL_A...
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backend/onyx/configs/chat_configs.py
.py
import os NUM_RETURNED_HITS = 50 # May be less depending on model MAX_CHUNKS_FED_TO_CHAT = int(os.environ.get("MAX_CHUNKS_FED_TO_CHAT") or 25) # Maximum number of LLM cycles (one tool-call round-trip per cycle) before the # agent is forced to answer. Default 6 covers the common search → open_url # pattern documented...
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backend/onyx/configs/llm_configs.py
.py
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: """Return the workspace setting for image extraction/analysis. The pydantic `Settings` model defaults this field to True, so pr...
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backend/onyx/configs/embedding_configs.py
.py
from pydantic import BaseModel from onyx.db.enums import EmbeddingPrecision class _BaseEmbeddingModel(BaseModel): """Private model for defining base embedding model configurations.""" name: str dim: int index_name: str class SupportedEmbeddingModel(BaseModel): name: str dim: int index_...
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backend/onyx/configs/tool_configs.py
.py
import json import os IMAGE_GENERATION_OUTPUT_FORMAT = os.environ.get( "IMAGE_GENERATION_OUTPUT_FORMAT", "b64_json" ) # if specified, will pass through request headers to the call to API calls made by custom tools CUSTOM_TOOL_PASS_THROUGH_HEADERS: list[str] | None = None _CUSTOM_TOOL_PASS_THROUGH_HEADERS_RAW = os...
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backend/onyx/configs/constants.py
.py
import logging import os import platform import re import socket from enum import Enum, auto ONYX_DEFAULT_APPLICATION_NAME = "Onyx" ONYX_DISCORD_URL = "https://discord.gg/4NA5SbzrWb" ONYX_UTM_SOURCE = "onyx_app" SLACK_USER_TOKEN_PREFIX = "xoxp-" ONYX_EMAILABLE_LOGO_MAX_DIM = 512 # The mask_string() function in encryp...
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backend/onyx/configs/app_configs.py
.py
import json import math import os import urllib.parse from datetime import datetime, timezone from typing import cast from onyx.auth.schemas import AuthBackend from onyx.cache.interface import CacheBackendType from onyx.configs.constants import QueryHistoryType from onyx.document_index.opensearch.constants import Open...
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backend/onyx/configs/sentry.py
.py
from __future__ import annotations from typing import TYPE_CHECKING, Any from sentry_sdk.scrubber import DEFAULT_DENYLIST, EventScrubber from sentry_sdk.types import Event from onyx.utils.logger import setup_logger if TYPE_CHECKING: from sentry_sdk.integrations import Integration logger = setup_logger() _inst...
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backend/onyx/configs/model_configs.py
.py
import json import os from shared_configs.configs import DEFAULT_DOCUMENT_ENCODER_MODEL ##### # Embedding/Reranking Model Configs ##### # Important considerations when choosing models # Max tokens count needs to be high considering use case (at least 512) # Models used must be MIT or Apache license # Inference/Indexi...
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backend/onyx/configs/kg_configs.py
.py
import os KG_RESEARCH_NUM_RETRIEVED_DOCS: int = int( os.environ.get("KG_RESEARCH_NUM_RETRIEVED_DOCS", "25") ) KG_SIMPLE_ANSWER_MAX_DISPLAYED_SOURCES: int = int( os.environ.get("KG_SIMPLE_ANSWER_MAX_DISPLAYED_SOURCES", "10") ) KG_ENTITY_EXTRACTION_TIMEOUT: int = int( os.environ.get("KG_ENTITY_EXTRACTION...
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backend/onyx/configs/onyxbot_configs.py
.py
import os ##### # Onyx Slack Bot Configs ##### ONYX_BOT_NUM_RETRIES = int(os.environ.get("ONYX_BOT_NUM_RETRIES", "5")) # Number of docs to display in "Reference Documents" ONYX_BOT_NUM_DOCS_TO_DISPLAY = int(os.environ.get("ONYX_BOT_NUM_DOCS_TO_DISPLAY", "5")) # If the LLM fails to answer, Onyx can still show the "Refe...
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backend/onyx/document_index/interfaces_new.py
.py
import abc from collections.abc import Iterable from datetime import datetime from typing import Self from pydantic import BaseModel, model_validator from onyx.access.models import DocumentAccess from onyx.configs.constants import PUBLIC_DOC_PAT from onyx.context.search.enums import QueryType from onyx.context.search...
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backend/onyx/document_index/disabled.py
.py
"""A DocumentIndex implementation that raises on every operation. Used as a safety net when DISABLE_VECTOR_DB is True. Any code path that accidentally reaches the vector DB layer will fail loudly instead of timing out against a nonexistent Vespa/OpenSearch instance. """ from collections.abc import Iterable from onyx...
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backend/onyx/document_index/chunk_content_enrichment.py
.py
from onyx.configs.app_configs import BLURB_SIZE from onyx.configs.constants import RETURN_SEPARATOR from onyx.context.search.models import InferenceChunk, InferenceChunkUncleaned from onyx.indexing.models import DocAwareChunk def generate_enriched_content_for_chunk_text(chunk: DocAwareChunk) -> str: return f"{chu...
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