mirror of
https://github.com/open-webui/open-webui
synced 2024-12-28 06:42:47 +00:00
wip
This commit is contained in:
parent
f6bec8d9f3
commit
d3d161f723
@ -10,7 +10,7 @@ from urllib.parse import urlparse
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import chromadb
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import requests
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import yaml
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from open_webui.apps.webui.internal.db import Base, get_db
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from open_webui.internal.db import Base, get_db
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from open_webui.env import (
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OPEN_WEBUI_DIR,
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DATA_DIR,
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@ -432,7 +432,10 @@ OAUTH_ADMIN_ROLES = PersistentConfig(
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OAUTH_ALLOWED_DOMAINS = PersistentConfig(
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"OAUTH_ALLOWED_DOMAINS",
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"oauth.allowed_domains",
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[domain.strip() for domain in os.environ.get("OAUTH_ALLOWED_DOMAINS", "*").split(",")],
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[
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domain.strip()
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for domain in os.environ.get("OAUTH_ALLOWED_DOMAINS", "*").split(",")
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],
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)
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@ -3,7 +3,7 @@ import logging
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from contextlib import contextmanager
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from typing import Any, Optional
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from open_webui.apps.webui.internal.wrappers import register_connection
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from open_webui.internal.wrappers import register_connection
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from open_webui.env import (
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OPEN_WEBUI_DIR,
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DATABASE_URL,
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File diff suppressed because it is too large
Load Diff
@ -1,7 +1,7 @@
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from logging.config import fileConfig
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from alembic import context
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from open_webui.apps.webui.models.auths import Auth
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from open_webui.models.auths import Auth
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from open_webui.env import DATABASE_URL
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from sqlalchemy import engine_from_config, pool
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@ -9,7 +9,7 @@ from typing import Sequence, Union
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from alembic import op
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import sqlalchemy as sa
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import open_webui.apps.webui.internal.db
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import open_webui.internal.db
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${imports if imports else ""}
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# revision identifiers, used by Alembic.
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@ -11,8 +11,8 @@ from typing import Sequence, Union
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import sqlalchemy as sa
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from alembic import op
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import open_webui.apps.webui.internal.db
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from open_webui.apps.webui.internal.db import JSONField
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import open_webui.internal.db
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from open_webui.internal.db import JSONField
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from open_webui.migrations.util import get_existing_tables
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# revision identifiers, used by Alembic.
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@ -2,8 +2,8 @@ import logging
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import uuid
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from typing import Optional
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from open_webui.apps.webui.internal.db import Base, get_db
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from open_webui.apps.webui.models.users import UserModel, Users
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from open_webui.internal.db import Base, get_db
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from open_webui.models.users import UserModel, Users
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from open_webui.env import SRC_LOG_LEVELS
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from pydantic import BaseModel
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from sqlalchemy import Boolean, Column, String, Text
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@ -3,8 +3,8 @@ import time
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import uuid
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from typing import Optional
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from open_webui.apps.webui.internal.db import Base, get_db
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from open_webui.apps.webui.models.tags import TagModel, Tag, Tags
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from open_webui.internal.db import Base, get_db
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from open_webui.models.tags import TagModel, Tag, Tags
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from pydantic import BaseModel, ConfigDict
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@ -3,8 +3,8 @@ import time
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import uuid
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from typing import Optional
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from open_webui.apps.webui.internal.db import Base, get_db
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from open_webui.apps.webui.models.chats import Chats
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from open_webui.internal.db import Base, get_db
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from open_webui.models.chats import Chats
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from open_webui.env import SRC_LOG_LEVELS
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from pydantic import BaseModel, ConfigDict
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@ -2,7 +2,7 @@ import logging
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import time
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from typing import Optional
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from open_webui.apps.webui.internal.db import Base, JSONField, get_db
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from open_webui.internal.db import Base, JSONField, get_db
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from open_webui.env import SRC_LOG_LEVELS
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from pydantic import BaseModel, ConfigDict
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from sqlalchemy import BigInteger, Column, String, Text, JSON
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@ -3,8 +3,8 @@ import time
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import uuid
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from typing import Optional
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from open_webui.apps.webui.internal.db import Base, get_db
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from open_webui.apps.webui.models.chats import Chats
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from open_webui.internal.db import Base, get_db
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from open_webui.models.chats import Chats
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from open_webui.env import SRC_LOG_LEVELS
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from pydantic import BaseModel, ConfigDict
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@ -2,8 +2,8 @@ import logging
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import time
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from typing import Optional
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from open_webui.apps.webui.internal.db import Base, JSONField, get_db
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from open_webui.apps.webui.models.users import Users
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from open_webui.internal.db import Base, JSONField, get_db
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from open_webui.models.users import Users
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from open_webui.env import SRC_LOG_LEVELS
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from pydantic import BaseModel, ConfigDict
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from sqlalchemy import BigInteger, Boolean, Column, String, Text
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@ -4,10 +4,10 @@ import time
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from typing import Optional
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import uuid
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from open_webui.apps.webui.internal.db import Base, get_db
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from open_webui.internal.db import Base, get_db
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from open_webui.env import SRC_LOG_LEVELS
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from open_webui.apps.webui.models.files import FileMetadataResponse
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from open_webui.models.files import FileMetadataResponse
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from pydantic import BaseModel, ConfigDict
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@ -4,11 +4,11 @@ import time
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from typing import Optional
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import uuid
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from open_webui.apps.webui.internal.db import Base, get_db
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from open_webui.internal.db import Base, get_db
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from open_webui.env import SRC_LOG_LEVELS
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from open_webui.apps.webui.models.files import FileMetadataResponse
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from open_webui.apps.webui.models.users import Users, UserResponse
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from open_webui.models.files import FileMetadataResponse
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from open_webui.models.users import Users, UserResponse
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from pydantic import BaseModel, ConfigDict
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@ -2,7 +2,7 @@ import time
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import uuid
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from typing import Optional
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from open_webui.apps.webui.internal.db import Base, get_db
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from open_webui.internal.db import Base, get_db
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from pydantic import BaseModel, ConfigDict
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from sqlalchemy import BigInteger, Column, String, Text
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@ -2,10 +2,10 @@ import logging
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import time
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from typing import Optional
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from open_webui.apps.webui.internal.db import Base, JSONField, get_db
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from open_webui.internal.db import Base, JSONField, get_db
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from open_webui.env import SRC_LOG_LEVELS
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from open_webui.apps.webui.models.users import Users, UserResponse
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from open_webui.models.users import Users, UserResponse
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from pydantic import BaseModel, ConfigDict
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@ -1,8 +1,8 @@
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import time
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from typing import Optional
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from open_webui.apps.webui.internal.db import Base, get_db
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from open_webui.apps.webui.models.users import Users, UserResponse
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from open_webui.internal.db import Base, get_db
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from open_webui.models.users import Users, UserResponse
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from pydantic import BaseModel, ConfigDict
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from sqlalchemy import BigInteger, Column, String, Text, JSON
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@ -3,7 +3,7 @@ import time
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import uuid
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from typing import Optional
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from open_webui.apps.webui.internal.db import Base, get_db
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from open_webui.internal.db import Base, get_db
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from open_webui.env import SRC_LOG_LEVELS
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@ -2,8 +2,8 @@ import logging
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import time
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from typing import Optional
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from open_webui.apps.webui.internal.db import Base, JSONField, get_db
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from open_webui.apps.webui.models.users import Users, UserResponse
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from open_webui.internal.db import Base, JSONField, get_db
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from open_webui.models.users import Users, UserResponse
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from open_webui.env import SRC_LOG_LEVELS
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from pydantic import BaseModel, ConfigDict
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from sqlalchemy import BigInteger, Column, String, Text, JSON
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@ -1,8 +1,8 @@
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import time
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from typing import Optional
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from open_webui.apps.webui.internal.db import Base, JSONField, get_db
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from open_webui.apps.webui.models.chats import Chats
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from open_webui.internal.db import Base, JSONField, get_db
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from open_webui.models.chats import Chats
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from pydantic import BaseModel, ConfigDict
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from sqlalchemy import BigInteger, Column, String, Text
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@ -40,7 +40,7 @@ class PgvectorClient:
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# if no pgvector uri, use the existing database connection
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if not PGVECTOR_DB_URL:
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from open_webui.apps.webui.internal.db import Session
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from open_webui.internal.db import Session
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self.session = Session
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else:
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@ -25,11 +25,10 @@ from open_webui.config import (
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AUDIO_TTS_VOICE,
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AUDIO_TTS_AZURE_SPEECH_REGION,
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AUDIO_TTS_AZURE_SPEECH_OUTPUT_FORMAT,
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CACHE_DIR,
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CORS_ALLOW_ORIGIN,
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WHISPER_MODEL,
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WHISPER_MODEL_AUTO_UPDATE,
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WHISPER_MODEL_DIR,
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CACHE_DIR,
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AppConfig,
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)
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@ -55,44 +54,6 @@ MAX_FILE_SIZE = MAX_FILE_SIZE_MB * 1024 * 1024 # Convert MB to bytes
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log = logging.getLogger(__name__)
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log.setLevel(SRC_LOG_LEVELS["AUDIO"])
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app = FastAPI(
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docs_url="/docs" if ENV == "dev" else None,
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openapi_url="/openapi.json" if ENV == "dev" else None,
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redoc_url=None,
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)
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app.add_middleware(
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CORSMiddleware,
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allow_origins=CORS_ALLOW_ORIGIN,
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allow_credentials=True,
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allow_methods=["*"],
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allow_headers=["*"],
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)
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app.state.config = AppConfig()
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app.state.config.STT_OPENAI_API_BASE_URL = AUDIO_STT_OPENAI_API_BASE_URL
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app.state.config.STT_OPENAI_API_KEY = AUDIO_STT_OPENAI_API_KEY
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app.state.config.STT_ENGINE = AUDIO_STT_ENGINE
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app.state.config.STT_MODEL = AUDIO_STT_MODEL
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app.state.config.WHISPER_MODEL = WHISPER_MODEL
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app.state.faster_whisper_model = None
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app.state.config.TTS_OPENAI_API_BASE_URL = AUDIO_TTS_OPENAI_API_BASE_URL
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app.state.config.TTS_OPENAI_API_KEY = AUDIO_TTS_OPENAI_API_KEY
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app.state.config.TTS_ENGINE = AUDIO_TTS_ENGINE
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app.state.config.TTS_MODEL = AUDIO_TTS_MODEL
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app.state.config.TTS_VOICE = AUDIO_TTS_VOICE
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app.state.config.TTS_API_KEY = AUDIO_TTS_API_KEY
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app.state.config.TTS_SPLIT_ON = AUDIO_TTS_SPLIT_ON
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app.state.speech_synthesiser = None
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app.state.speech_speaker_embeddings_dataset = None
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app.state.config.TTS_AZURE_SPEECH_REGION = AUDIO_TTS_AZURE_SPEECH_REGION
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app.state.config.TTS_AZURE_SPEECH_OUTPUT_FORMAT = AUDIO_TTS_AZURE_SPEECH_OUTPUT_FORMAT
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# setting device type for whisper model
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whisper_device_type = DEVICE_TYPE if DEVICE_TYPE and DEVICE_TYPE == "cuda" else "cpu"
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@ -5,7 +5,7 @@ import datetime
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import logging
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from aiohttp import ClientSession
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from open_webui.apps.webui.models.auths import (
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from open_webui.models.auths import (
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AddUserForm,
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ApiKey,
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Auths,
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@ -18,7 +18,7 @@ from open_webui.apps.webui.models.auths import (
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UpdateProfileForm,
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UserResponse,
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)
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from open_webui.apps.webui.models.users import Users
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from open_webui.models.users import Users
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from open_webui.constants import ERROR_MESSAGES, WEBHOOK_MESSAGES
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from open_webui.env import (
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@ -0,0 +1,411 @@
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from fastapi import APIRouter, Depends, HTTPException, Response, status
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from pydantic import BaseModel
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router = APIRouter()
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@app.post("/api/chat/completions")
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async def generate_chat_completions(
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request: Request,
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form_data: dict,
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user=Depends(get_verified_user),
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bypass_filter: bool = False,
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):
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if BYPASS_MODEL_ACCESS_CONTROL:
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bypass_filter = True
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model_list = request.state.models
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models = {model["id"]: model for model in model_list}
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model_id = form_data["model"]
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if model_id not in models:
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raise HTTPException(
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status_code=status.HTTP_404_NOT_FOUND,
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detail="Model not found",
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)
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model = models[model_id]
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# Check if user has access to the model
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if not bypass_filter and user.role == "user":
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if model.get("arena"):
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if not has_access(
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user.id,
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type="read",
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access_control=model.get("info", {})
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.get("meta", {})
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.get("access_control", {}),
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):
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raise HTTPException(
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status_code=403,
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detail="Model not found",
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)
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else:
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model_info = Models.get_model_by_id(model_id)
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if not model_info:
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raise HTTPException(
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status_code=404,
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detail="Model not found",
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)
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elif not (
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user.id == model_info.user_id
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or has_access(
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user.id, type="read", access_control=model_info.access_control
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)
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):
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raise HTTPException(
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status_code=403,
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detail="Model not found",
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)
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if model["owned_by"] == "arena":
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model_ids = model.get("info", {}).get("meta", {}).get("model_ids")
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filter_mode = model.get("info", {}).get("meta", {}).get("filter_mode")
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if model_ids and filter_mode == "exclude":
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model_ids = [
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model["id"]
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for model in await get_all_models()
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if model.get("owned_by") != "arena" and model["id"] not in model_ids
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]
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selected_model_id = None
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if isinstance(model_ids, list) and model_ids:
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selected_model_id = random.choice(model_ids)
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else:
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model_ids = [
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model["id"]
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for model in await get_all_models()
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if model.get("owned_by") != "arena"
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]
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selected_model_id = random.choice(model_ids)
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form_data["model"] = selected_model_id
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if form_data.get("stream") == True:
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async def stream_wrapper(stream):
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yield f"data: {json.dumps({'selected_model_id': selected_model_id})}\n\n"
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async for chunk in stream:
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yield chunk
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response = await generate_chat_completions(
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form_data, user, bypass_filter=True
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)
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return StreamingResponse(
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stream_wrapper(response.body_iterator), media_type="text/event-stream"
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)
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else:
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return {
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**(
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await generate_chat_completions(form_data, user, bypass_filter=True)
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),
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"selected_model_id": selected_model_id,
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}
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if model.get("pipe"):
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# Below does not require bypass_filter because this is the only route the uses this function and it is already bypassing the filter
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return await generate_function_chat_completion(
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form_data, user=user, models=models
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)
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if model["owned_by"] == "ollama":
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# Using /ollama/api/chat endpoint
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form_data = convert_payload_openai_to_ollama(form_data)
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form_data = GenerateChatCompletionForm(**form_data)
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response = await generate_ollama_chat_completion(
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form_data=form_data, user=user, bypass_filter=bypass_filter
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)
|
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if form_data.stream:
|
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response.headers["content-type"] = "text/event-stream"
|
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return StreamingResponse(
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convert_streaming_response_ollama_to_openai(response),
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headers=dict(response.headers),
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)
|
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else:
|
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return convert_response_ollama_to_openai(response)
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else:
|
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return await generate_openai_chat_completion(
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form_data, user=user, bypass_filter=bypass_filter
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)
|
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|
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|
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@app.post("/api/chat/completed")
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async def chat_completed(form_data: dict, user=Depends(get_verified_user)):
|
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model_list = await get_all_models()
|
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models = {model["id"]: model for model in model_list}
|
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|
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data = form_data
|
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model_id = data["model"]
|
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if model_id not in models:
|
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raise HTTPException(
|
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status_code=status.HTTP_404_NOT_FOUND,
|
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detail="Model not found",
|
||||
)
|
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|
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model = models[model_id]
|
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sorted_filters = get_sorted_filters(model_id, models)
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if "pipeline" in model:
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sorted_filters = [model] + sorted_filters
|
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|
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for filter in sorted_filters:
|
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r = None
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try:
|
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urlIdx = filter["urlIdx"]
|
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|
||||
url = openai_app.state.config.OPENAI_API_BASE_URLS[urlIdx]
|
||||
key = openai_app.state.config.OPENAI_API_KEYS[urlIdx]
|
||||
|
||||
if key != "":
|
||||
headers = {"Authorization": f"Bearer {key}"}
|
||||
r = requests.post(
|
||||
f"{url}/{filter['id']}/filter/outlet",
|
||||
headers=headers,
|
||||
json={
|
||||
"user": {
|
||||
"id": user.id,
|
||||
"name": user.name,
|
||||
"email": user.email,
|
||||
"role": user.role,
|
||||
},
|
||||
"body": data,
|
||||
},
|
||||
)
|
||||
|
||||
r.raise_for_status()
|
||||
data = r.json()
|
||||
except Exception as e:
|
||||
# Handle connection error here
|
||||
print(f"Connection error: {e}")
|
||||
|
||||
if r is not None:
|
||||
try:
|
||||
res = r.json()
|
||||
if "detail" in res:
|
||||
return JSONResponse(
|
||||
status_code=r.status_code,
|
||||
content=res,
|
||||
)
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
else:
|
||||
pass
|
||||
|
||||
__event_emitter__ = get_event_emitter(
|
||||
{
|
||||
"chat_id": data["chat_id"],
|
||||
"message_id": data["id"],
|
||||
"session_id": data["session_id"],
|
||||
}
|
||||
)
|
||||
|
||||
__event_call__ = get_event_call(
|
||||
{
|
||||
"chat_id": data["chat_id"],
|
||||
"message_id": data["id"],
|
||||
"session_id": data["session_id"],
|
||||
}
|
||||
)
|
||||
|
||||
def get_priority(function_id):
|
||||
function = Functions.get_function_by_id(function_id)
|
||||
if function is not None and hasattr(function, "valves"):
|
||||
# TODO: Fix FunctionModel to include vavles
|
||||
return (function.valves if function.valves else {}).get("priority", 0)
|
||||
return 0
|
||||
|
||||
filter_ids = [function.id for function in Functions.get_global_filter_functions()]
|
||||
if "info" in model and "meta" in model["info"]:
|
||||
filter_ids.extend(model["info"]["meta"].get("filterIds", []))
|
||||
filter_ids = list(set(filter_ids))
|
||||
|
||||
enabled_filter_ids = [
|
||||
function.id
|
||||
for function in Functions.get_functions_by_type("filter", active_only=True)
|
||||
]
|
||||
filter_ids = [
|
||||
filter_id for filter_id in filter_ids if filter_id in enabled_filter_ids
|
||||
]
|
||||
|
||||
# Sort filter_ids by priority, using the get_priority function
|
||||
filter_ids.sort(key=get_priority)
|
||||
|
||||
for filter_id in filter_ids:
|
||||
filter = Functions.get_function_by_id(filter_id)
|
||||
if not filter:
|
||||
continue
|
||||
|
||||
if filter_id in webui_app.state.FUNCTIONS:
|
||||
function_module = webui_app.state.FUNCTIONS[filter_id]
|
||||
else:
|
||||
function_module, _, _ = load_function_module_by_id(filter_id)
|
||||
webui_app.state.FUNCTIONS[filter_id] = function_module
|
||||
|
||||
if hasattr(function_module, "valves") and hasattr(function_module, "Valves"):
|
||||
valves = Functions.get_function_valves_by_id(filter_id)
|
||||
function_module.valves = function_module.Valves(
|
||||
**(valves if valves else {})
|
||||
)
|
||||
|
||||
if not hasattr(function_module, "outlet"):
|
||||
continue
|
||||
try:
|
||||
outlet = function_module.outlet
|
||||
|
||||
# Get the signature of the function
|
||||
sig = inspect.signature(outlet)
|
||||
params = {"body": data}
|
||||
|
||||
# Extra parameters to be passed to the function
|
||||
extra_params = {
|
||||
"__model__": model,
|
||||
"__id__": filter_id,
|
||||
"__event_emitter__": __event_emitter__,
|
||||
"__event_call__": __event_call__,
|
||||
}
|
||||
|
||||
# Add extra params in contained in function signature
|
||||
for key, value in extra_params.items():
|
||||
if key in sig.parameters:
|
||||
params[key] = value
|
||||
|
||||
if "__user__" in sig.parameters:
|
||||
__user__ = {
|
||||
"id": user.id,
|
||||
"email": user.email,
|
||||
"name": user.name,
|
||||
"role": user.role,
|
||||
}
|
||||
|
||||
try:
|
||||
if hasattr(function_module, "UserValves"):
|
||||
__user__["valves"] = function_module.UserValves(
|
||||
**Functions.get_user_valves_by_id_and_user_id(
|
||||
filter_id, user.id
|
||||
)
|
||||
)
|
||||
except Exception as e:
|
||||
print(e)
|
||||
|
||||
params = {**params, "__user__": __user__}
|
||||
|
||||
if inspect.iscoroutinefunction(outlet):
|
||||
data = await outlet(**params)
|
||||
else:
|
||||
data = outlet(**params)
|
||||
|
||||
except Exception as e:
|
||||
print(f"Error: {e}")
|
||||
return JSONResponse(
|
||||
status_code=status.HTTP_400_BAD_REQUEST,
|
||||
content={"detail": str(e)},
|
||||
)
|
||||
|
||||
return data
|
||||
|
||||
|
||||
@app.post("/api/chat/actions/{action_id}")
|
||||
async def chat_action(action_id: str, form_data: dict, user=Depends(get_verified_user)):
|
||||
if "." in action_id:
|
||||
action_id, sub_action_id = action_id.split(".")
|
||||
else:
|
||||
sub_action_id = None
|
||||
|
||||
action = Functions.get_function_by_id(action_id)
|
||||
if not action:
|
||||
raise HTTPException(
|
||||
status_code=status.HTTP_404_NOT_FOUND,
|
||||
detail="Action not found",
|
||||
)
|
||||
|
||||
model_list = await get_all_models()
|
||||
models = {model["id"]: model for model in model_list}
|
||||
|
||||
data = form_data
|
||||
model_id = data["model"]
|
||||
|
||||
if model_id not in models:
|
||||
raise HTTPException(
|
||||
status_code=status.HTTP_404_NOT_FOUND,
|
||||
detail="Model not found",
|
||||
)
|
||||
model = models[model_id]
|
||||
|
||||
__event_emitter__ = get_event_emitter(
|
||||
{
|
||||
"chat_id": data["chat_id"],
|
||||
"message_id": data["id"],
|
||||
"session_id": data["session_id"],
|
||||
}
|
||||
)
|
||||
__event_call__ = get_event_call(
|
||||
{
|
||||
"chat_id": data["chat_id"],
|
||||
"message_id": data["id"],
|
||||
"session_id": data["session_id"],
|
||||
}
|
||||
)
|
||||
|
||||
if action_id in webui_app.state.FUNCTIONS:
|
||||
function_module = webui_app.state.FUNCTIONS[action_id]
|
||||
else:
|
||||
function_module, _, _ = load_function_module_by_id(action_id)
|
||||
webui_app.state.FUNCTIONS[action_id] = function_module
|
||||
|
||||
if hasattr(function_module, "valves") and hasattr(function_module, "Valves"):
|
||||
valves = Functions.get_function_valves_by_id(action_id)
|
||||
function_module.valves = function_module.Valves(**(valves if valves else {}))
|
||||
|
||||
if hasattr(function_module, "action"):
|
||||
try:
|
||||
action = function_module.action
|
||||
|
||||
# Get the signature of the function
|
||||
sig = inspect.signature(action)
|
||||
params = {"body": data}
|
||||
|
||||
# Extra parameters to be passed to the function
|
||||
extra_params = {
|
||||
"__model__": model,
|
||||
"__id__": sub_action_id if sub_action_id is not None else action_id,
|
||||
"__event_emitter__": __event_emitter__,
|
||||
"__event_call__": __event_call__,
|
||||
}
|
||||
|
||||
# Add extra params in contained in function signature
|
||||
for key, value in extra_params.items():
|
||||
if key in sig.parameters:
|
||||
params[key] = value
|
||||
|
||||
if "__user__" in sig.parameters:
|
||||
__user__ = {
|
||||
"id": user.id,
|
||||
"email": user.email,
|
||||
"name": user.name,
|
||||
"role": user.role,
|
||||
}
|
||||
|
||||
try:
|
||||
if hasattr(function_module, "UserValves"):
|
||||
__user__["valves"] = function_module.UserValves(
|
||||
**Functions.get_user_valves_by_id_and_user_id(
|
||||
action_id, user.id
|
||||
)
|
||||
)
|
||||
except Exception as e:
|
||||
print(e)
|
||||
|
||||
params = {**params, "__user__": __user__}
|
||||
|
||||
if inspect.iscoroutinefunction(action):
|
||||
data = await action(**params)
|
||||
else:
|
||||
data = action(**params)
|
||||
|
||||
except Exception as e:
|
||||
print(f"Error: {e}")
|
||||
return JSONResponse(
|
||||
status_code=status.HTTP_400_BAD_REQUEST,
|
||||
content={"detail": str(e)},
|
||||
)
|
||||
|
||||
return data
|
@ -2,15 +2,15 @@ import json
|
||||
import logging
|
||||
from typing import Optional
|
||||
|
||||
from open_webui.apps.webui.models.chats import (
|
||||
from open_webui.models.chats import (
|
||||
ChatForm,
|
||||
ChatImportForm,
|
||||
ChatResponse,
|
||||
Chats,
|
||||
ChatTitleIdResponse,
|
||||
)
|
||||
from open_webui.apps.webui.models.tags import TagModel, Tags
|
||||
from open_webui.apps.webui.models.folders import Folders
|
||||
from open_webui.models.tags import TagModel, Tags
|
||||
from open_webui.models.folders import Folders
|
||||
|
||||
from open_webui.config import ENABLE_ADMIN_CHAT_ACCESS, ENABLE_ADMIN_EXPORT
|
||||
from open_webui.constants import ERROR_MESSAGES
|
@ -2,8 +2,8 @@ from typing import Optional
|
||||
from fastapi import APIRouter, Depends, HTTPException, status, Request
|
||||
from pydantic import BaseModel
|
||||
|
||||
from open_webui.apps.webui.models.users import Users, UserModel
|
||||
from open_webui.apps.webui.models.feedbacks import (
|
||||
from open_webui.models.users import Users, UserModel
|
||||
from open_webui.models.feedbacks import (
|
||||
FeedbackModel,
|
||||
FeedbackResponse,
|
||||
FeedbackForm,
|
@ -8,13 +8,13 @@ import mimetypes
|
||||
|
||||
from open_webui.storage.provider import Storage
|
||||
|
||||
from open_webui.apps.webui.models.files import (
|
||||
from open_webui.models.files import (
|
||||
FileForm,
|
||||
FileModel,
|
||||
FileModelResponse,
|
||||
Files,
|
||||
)
|
||||
from open_webui.apps.retrieval.main import process_file, ProcessFileForm
|
||||
from backend.open_webui.routers.retrieval import process_file, ProcessFileForm
|
||||
|
||||
from open_webui.config import UPLOAD_DIR
|
||||
from open_webui.env import SRC_LOG_LEVELS
|
@ -8,12 +8,12 @@ from pydantic import BaseModel
|
||||
import mimetypes
|
||||
|
||||
|
||||
from open_webui.apps.webui.models.folders import (
|
||||
from open_webui.models.folders import (
|
||||
FolderForm,
|
||||
FolderModel,
|
||||
Folders,
|
||||
)
|
||||
from open_webui.apps.webui.models.chats import Chats
|
||||
from open_webui.models.chats import Chats
|
||||
|
||||
from open_webui.config import UPLOAD_DIR
|
||||
from open_webui.env import SRC_LOG_LEVELS
|
@ -2,13 +2,13 @@ import os
|
||||
from pathlib import Path
|
||||
from typing import Optional
|
||||
|
||||
from open_webui.apps.webui.models.functions import (
|
||||
from open_webui.models.functions import (
|
||||
FunctionForm,
|
||||
FunctionModel,
|
||||
FunctionResponse,
|
||||
Functions,
|
||||
)
|
||||
from open_webui.apps.webui.utils import load_function_module_by_id, replace_imports
|
||||
from backend.open_webui.utils.plugin import load_function_module_by_id, replace_imports
|
||||
from open_webui.config import CACHE_DIR
|
||||
from open_webui.constants import ERROR_MESSAGES
|
||||
from fastapi import APIRouter, Depends, HTTPException, Request, status
|
@ -2,7 +2,7 @@ import os
|
||||
from pathlib import Path
|
||||
from typing import Optional
|
||||
|
||||
from open_webui.apps.webui.models.groups import (
|
||||
from open_webui.models.groups import (
|
||||
Groups,
|
||||
GroupForm,
|
||||
GroupUpdateForm,
|
@ -9,31 +9,14 @@ from pathlib import Path
|
||||
from typing import Optional
|
||||
|
||||
import requests
|
||||
from open_webui.apps.images.utils.comfyui import (
|
||||
from open_webui.utils.images.comfyui import (
|
||||
ComfyUIGenerateImageForm,
|
||||
ComfyUIWorkflow,
|
||||
comfyui_generate_image,
|
||||
)
|
||||
from open_webui.config import (
|
||||
AUTOMATIC1111_API_AUTH,
|
||||
AUTOMATIC1111_BASE_URL,
|
||||
AUTOMATIC1111_CFG_SCALE,
|
||||
AUTOMATIC1111_SAMPLER,
|
||||
AUTOMATIC1111_SCHEDULER,
|
||||
CACHE_DIR,
|
||||
COMFYUI_BASE_URL,
|
||||
COMFYUI_WORKFLOW,
|
||||
COMFYUI_WORKFLOW_NODES,
|
||||
CORS_ALLOW_ORIGIN,
|
||||
ENABLE_IMAGE_GENERATION,
|
||||
IMAGE_GENERATION_ENGINE,
|
||||
IMAGE_GENERATION_MODEL,
|
||||
IMAGE_SIZE,
|
||||
IMAGE_STEPS,
|
||||
IMAGES_OPENAI_API_BASE_URL,
|
||||
IMAGES_OPENAI_API_KEY,
|
||||
AppConfig,
|
||||
)
|
||||
|
||||
|
||||
from open_webui.config import CACHE_DIR
|
||||
from open_webui.constants import ERROR_MESSAGES
|
||||
from open_webui.env import ENV, SRC_LOG_LEVELS, ENABLE_FORWARD_USER_INFO_HEADERS
|
||||
|
||||
@ -54,36 +37,6 @@ app = FastAPI(
|
||||
redoc_url=None,
|
||||
)
|
||||
|
||||
app.add_middleware(
|
||||
CORSMiddleware,
|
||||
allow_origins=CORS_ALLOW_ORIGIN,
|
||||
allow_credentials=True,
|
||||
allow_methods=["*"],
|
||||
allow_headers=["*"],
|
||||
)
|
||||
|
||||
app.state.config = AppConfig()
|
||||
|
||||
app.state.config.ENGINE = IMAGE_GENERATION_ENGINE
|
||||
app.state.config.ENABLED = ENABLE_IMAGE_GENERATION
|
||||
|
||||
app.state.config.OPENAI_API_BASE_URL = IMAGES_OPENAI_API_BASE_URL
|
||||
app.state.config.OPENAI_API_KEY = IMAGES_OPENAI_API_KEY
|
||||
|
||||
app.state.config.MODEL = IMAGE_GENERATION_MODEL
|
||||
|
||||
app.state.config.AUTOMATIC1111_BASE_URL = AUTOMATIC1111_BASE_URL
|
||||
app.state.config.AUTOMATIC1111_API_AUTH = AUTOMATIC1111_API_AUTH
|
||||
app.state.config.AUTOMATIC1111_CFG_SCALE = AUTOMATIC1111_CFG_SCALE
|
||||
app.state.config.AUTOMATIC1111_SAMPLER = AUTOMATIC1111_SAMPLER
|
||||
app.state.config.AUTOMATIC1111_SCHEDULER = AUTOMATIC1111_SCHEDULER
|
||||
app.state.config.COMFYUI_BASE_URL = COMFYUI_BASE_URL
|
||||
app.state.config.COMFYUI_WORKFLOW = COMFYUI_WORKFLOW
|
||||
app.state.config.COMFYUI_WORKFLOW_NODES = COMFYUI_WORKFLOW_NODES
|
||||
|
||||
app.state.config.IMAGE_SIZE = IMAGE_SIZE
|
||||
app.state.config.IMAGE_STEPS = IMAGE_STEPS
|
||||
|
||||
|
||||
@app.get("/config")
|
||||
async def get_config(request: Request, user=Depends(get_admin_user)):
|
@ -4,15 +4,15 @@ from pydantic import BaseModel
|
||||
from fastapi import APIRouter, Depends, HTTPException, status, Request
|
||||
import logging
|
||||
|
||||
from open_webui.apps.webui.models.knowledge import (
|
||||
from open_webui.models.knowledge import (
|
||||
Knowledges,
|
||||
KnowledgeForm,
|
||||
KnowledgeResponse,
|
||||
KnowledgeUserResponse,
|
||||
)
|
||||
from open_webui.apps.webui.models.files import Files, FileModel
|
||||
from open_webui.models.files import Files, FileModel
|
||||
from open_webui.apps.retrieval.vector.connector import VECTOR_DB_CLIENT
|
||||
from open_webui.apps.retrieval.main import process_file, ProcessFileForm
|
||||
from backend.open_webui.routers.retrieval import process_file, ProcessFileForm
|
||||
|
||||
|
||||
from open_webui.constants import ERROR_MESSAGES
|
@ -3,7 +3,7 @@ from pydantic import BaseModel
|
||||
import logging
|
||||
from typing import Optional
|
||||
|
||||
from open_webui.apps.webui.models.memories import Memories, MemoryModel
|
||||
from open_webui.models.memories import Memories, MemoryModel
|
||||
from open_webui.apps.retrieval.vector.connector import VECTOR_DB_CLIENT
|
||||
from open_webui.utils.auth import get_verified_user
|
||||
from open_webui.env import SRC_LOG_LEVELS
|
@ -1,6 +1,6 @@
|
||||
from typing import Optional
|
||||
|
||||
from open_webui.apps.webui.models.models import (
|
||||
from open_webui.models.models import (
|
||||
ModelForm,
|
||||
ModelModel,
|
||||
ModelResponse,
|
@ -12,15 +12,22 @@ import aiohttp
|
||||
from aiocache import cached
|
||||
|
||||
import requests
|
||||
from open_webui.apps.webui.models.models import Models
|
||||
|
||||
from fastapi import Depends, FastAPI, File, HTTPException, Request, UploadFile
|
||||
from fastapi.middleware.cors import CORSMiddleware
|
||||
from fastapi.responses import StreamingResponse
|
||||
from pydantic import BaseModel, ConfigDict
|
||||
from starlette.background import BackgroundTask
|
||||
|
||||
|
||||
from open_webui.models.models import Models
|
||||
|
||||
|
||||
from open_webui.config import (
|
||||
CORS_ALLOW_ORIGIN,
|
||||
ENABLE_OLLAMA_API,
|
||||
OLLAMA_BASE_URLS,
|
||||
OLLAMA_API_CONFIGS,
|
||||
UPLOAD_DIR,
|
||||
AppConfig,
|
||||
)
|
||||
|
||||
|
||||
from open_webui.env import (
|
||||
AIOHTTP_CLIENT_TIMEOUT,
|
||||
AIOHTTP_CLIENT_TIMEOUT_OPENAI_MODEL_LIST,
|
||||
@ -30,11 +37,6 @@ from open_webui.env import (
|
||||
|
||||
from open_webui.constants import ERROR_MESSAGES
|
||||
from open_webui.env import ENV, SRC_LOG_LEVELS
|
||||
from fastapi import Depends, FastAPI, File, HTTPException, Request, UploadFile
|
||||
from fastapi.middleware.cors import CORSMiddleware
|
||||
from fastapi.responses import StreamingResponse
|
||||
from pydantic import BaseModel, ConfigDict
|
||||
from starlette.background import BackgroundTask
|
||||
|
||||
|
||||
from open_webui.utils.misc import (
|
||||
@ -52,27 +54,6 @@ log = logging.getLogger(__name__)
|
||||
log.setLevel(SRC_LOG_LEVELS["OLLAMA"])
|
||||
|
||||
|
||||
app = FastAPI(
|
||||
docs_url="/docs" if ENV == "dev" else None,
|
||||
openapi_url="/openapi.json" if ENV == "dev" else None,
|
||||
redoc_url=None,
|
||||
)
|
||||
|
||||
app.add_middleware(
|
||||
CORSMiddleware,
|
||||
allow_origins=CORS_ALLOW_ORIGIN,
|
||||
allow_credentials=True,
|
||||
allow_methods=["*"],
|
||||
allow_headers=["*"],
|
||||
)
|
||||
|
||||
app.state.config = AppConfig()
|
||||
|
||||
app.state.config.ENABLE_OLLAMA_API = ENABLE_OLLAMA_API
|
||||
app.state.config.OLLAMA_BASE_URLS = OLLAMA_BASE_URLS
|
||||
app.state.config.OLLAMA_API_CONFIGS = OLLAMA_API_CONFIGS
|
||||
|
||||
|
||||
# TODO: Implement a more intelligent load balancing mechanism for distributing requests among multiple backend instances.
|
||||
# Current implementation uses a simple round-robin approach (random.choice). Consider incorporating algorithms like weighted round-robin,
|
||||
# least connections, or least response time for better resource utilization and performance optimization.
|
@ -10,7 +10,7 @@ from aiocache import cached
|
||||
import requests
|
||||
|
||||
|
||||
from open_webui.apps.webui.models.models import Models
|
||||
from open_webui.models.models import Models
|
||||
from open_webui.config import (
|
||||
CACHE_DIR,
|
||||
CORS_ALLOW_ORIGIN,
|
||||
@ -48,29 +48,6 @@ log = logging.getLogger(__name__)
|
||||
log.setLevel(SRC_LOG_LEVELS["OPENAI"])
|
||||
|
||||
|
||||
app = FastAPI(
|
||||
docs_url="/docs" if ENV == "dev" else None,
|
||||
openapi_url="/openapi.json" if ENV == "dev" else None,
|
||||
redoc_url=None,
|
||||
)
|
||||
|
||||
|
||||
app.add_middleware(
|
||||
CORSMiddleware,
|
||||
allow_origins=CORS_ALLOW_ORIGIN,
|
||||
allow_credentials=True,
|
||||
allow_methods=["*"],
|
||||
allow_headers=["*"],
|
||||
)
|
||||
|
||||
app.state.config = AppConfig()
|
||||
|
||||
app.state.config.ENABLE_OPENAI_API = ENABLE_OPENAI_API
|
||||
app.state.config.OPENAI_API_BASE_URLS = OPENAI_API_BASE_URLS
|
||||
app.state.config.OPENAI_API_KEYS = OPENAI_API_KEYS
|
||||
app.state.config.OPENAI_API_CONFIGS = OPENAI_API_CONFIGS
|
||||
|
||||
|
||||
@app.get("/config")
|
||||
async def get_config(user=Depends(get_admin_user)):
|
||||
return {
|
||||
@ -91,7 +68,6 @@ class OpenAIConfigForm(BaseModel):
|
||||
@app.post("/config/update")
|
||||
async def update_config(form_data: OpenAIConfigForm, user=Depends(get_admin_user)):
|
||||
app.state.config.ENABLE_OPENAI_API = form_data.ENABLE_OPENAI_API
|
||||
|
||||
app.state.config.OPENAI_API_BASE_URLS = form_data.OPENAI_API_BASE_URLS
|
||||
app.state.config.OPENAI_API_KEYS = form_data.OPENAI_API_KEYS
|
||||
|
@ -3,7 +3,7 @@ from pydantic import BaseModel
|
||||
from starlette.responses import FileResponse
|
||||
|
||||
|
||||
from open_webui.apps.webui.models.chats import ChatTitleMessagesForm
|
||||
from open_webui.models.chats import ChatTitleMessagesForm
|
||||
from open_webui.config import DATA_DIR, ENABLE_ADMIN_EXPORT
|
||||
from open_webui.constants import ERROR_MESSAGES
|
||||
|
||||
@ -14,86 +14,328 @@ from open_webui.utils.auth import get_admin_user
|
||||
router = APIRouter()
|
||||
|
||||
|
||||
@router.get("/gravatar")
|
||||
async def get_gravatar(
|
||||
email: str,
|
||||
##################################
|
||||
#
|
||||
# Pipelines Endpoints
|
||||
#
|
||||
##################################
|
||||
|
||||
|
||||
# TODO: Refactor pipelines API endpoints below into a separate file
|
||||
|
||||
|
||||
@app.get("/api/pipelines/list")
|
||||
async def get_pipelines_list(user=Depends(get_admin_user)):
|
||||
responses = await get_openai_models_responses()
|
||||
|
||||
log.debug(f"get_pipelines_list: get_openai_models_responses returned {responses}")
|
||||
urlIdxs = [
|
||||
idx
|
||||
for idx, response in enumerate(responses)
|
||||
if response is not None and "pipelines" in response
|
||||
]
|
||||
|
||||
return {
|
||||
"data": [
|
||||
{
|
||||
"url": openai_app.state.config.OPENAI_API_BASE_URLS[urlIdx],
|
||||
"idx": urlIdx,
|
||||
}
|
||||
for urlIdx in urlIdxs
|
||||
]
|
||||
}
|
||||
|
||||
|
||||
@app.post("/api/pipelines/upload")
|
||||
async def upload_pipeline(
|
||||
urlIdx: int = Form(...), file: UploadFile = File(...), user=Depends(get_admin_user)
|
||||
):
|
||||
return get_gravatar_url(email)
|
||||
|
||||
|
||||
class CodeFormatRequest(BaseModel):
|
||||
code: str
|
||||
|
||||
|
||||
@router.post("/code/format")
|
||||
async def format_code(request: CodeFormatRequest):
|
||||
try:
|
||||
formatted_code = black.format_str(request.code, mode=black.Mode())
|
||||
return {"code": formatted_code}
|
||||
except black.NothingChanged:
|
||||
return {"code": request.code}
|
||||
except Exception as e:
|
||||
raise HTTPException(status_code=400, detail=str(e))
|
||||
|
||||
|
||||
class MarkdownForm(BaseModel):
|
||||
md: str
|
||||
|
||||
|
||||
@router.post("/markdown")
|
||||
async def get_html_from_markdown(
|
||||
form_data: MarkdownForm,
|
||||
):
|
||||
return {"html": markdown.markdown(form_data.md)}
|
||||
|
||||
|
||||
class ChatForm(BaseModel):
|
||||
title: str
|
||||
messages: list[dict]
|
||||
|
||||
|
||||
@router.post("/pdf")
|
||||
async def download_chat_as_pdf(
|
||||
form_data: ChatTitleMessagesForm,
|
||||
):
|
||||
try:
|
||||
pdf_bytes = PDFGenerator(form_data).generate_chat_pdf()
|
||||
|
||||
return Response(
|
||||
content=pdf_bytes,
|
||||
media_type="application/pdf",
|
||||
headers={"Content-Disposition": "attachment;filename=chat.pdf"},
|
||||
)
|
||||
except Exception as e:
|
||||
print(e)
|
||||
raise HTTPException(status_code=400, detail=str(e))
|
||||
|
||||
|
||||
@router.get("/db/download")
|
||||
async def download_db(user=Depends(get_admin_user)):
|
||||
if not ENABLE_ADMIN_EXPORT:
|
||||
raise HTTPException(
|
||||
status_code=status.HTTP_401_UNAUTHORIZED,
|
||||
detail=ERROR_MESSAGES.ACCESS_PROHIBITED,
|
||||
)
|
||||
from open_webui.apps.webui.internal.db import engine
|
||||
|
||||
if engine.name != "sqlite":
|
||||
print("upload_pipeline", urlIdx, file.filename)
|
||||
# Check if the uploaded file is a python file
|
||||
if not (file.filename and file.filename.endswith(".py")):
|
||||
raise HTTPException(
|
||||
status_code=status.HTTP_400_BAD_REQUEST,
|
||||
detail=ERROR_MESSAGES.DB_NOT_SQLITE,
|
||||
detail="Only Python (.py) files are allowed.",
|
||||
)
|
||||
return FileResponse(
|
||||
engine.url.database,
|
||||
media_type="application/octet-stream",
|
||||
filename="webui.db",
|
||||
)
|
||||
|
||||
upload_folder = f"{CACHE_DIR}/pipelines"
|
||||
os.makedirs(upload_folder, exist_ok=True)
|
||||
file_path = os.path.join(upload_folder, file.filename)
|
||||
|
||||
r = None
|
||||
try:
|
||||
# Save the uploaded file
|
||||
with open(file_path, "wb") as buffer:
|
||||
shutil.copyfileobj(file.file, buffer)
|
||||
|
||||
url = openai_app.state.config.OPENAI_API_BASE_URLS[urlIdx]
|
||||
key = openai_app.state.config.OPENAI_API_KEYS[urlIdx]
|
||||
|
||||
headers = {"Authorization": f"Bearer {key}"}
|
||||
|
||||
with open(file_path, "rb") as f:
|
||||
files = {"file": f}
|
||||
r = requests.post(f"{url}/pipelines/upload", headers=headers, files=files)
|
||||
|
||||
r.raise_for_status()
|
||||
data = r.json()
|
||||
|
||||
return {**data}
|
||||
except Exception as e:
|
||||
# Handle connection error here
|
||||
print(f"Connection error: {e}")
|
||||
|
||||
detail = "Pipeline not found"
|
||||
status_code = status.HTTP_404_NOT_FOUND
|
||||
if r is not None:
|
||||
status_code = r.status_code
|
||||
try:
|
||||
res = r.json()
|
||||
if "detail" in res:
|
||||
detail = res["detail"]
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
raise HTTPException(
|
||||
status_code=status_code,
|
||||
detail=detail,
|
||||
)
|
||||
finally:
|
||||
# Ensure the file is deleted after the upload is completed or on failure
|
||||
if os.path.exists(file_path):
|
||||
os.remove(file_path)
|
||||
|
||||
|
||||
@router.get("/litellm/config")
|
||||
async def download_litellm_config_yaml(user=Depends(get_admin_user)):
|
||||
return FileResponse(
|
||||
f"{DATA_DIR}/litellm/config.yaml",
|
||||
media_type="application/octet-stream",
|
||||
filename="config.yaml",
|
||||
)
|
||||
class AddPipelineForm(BaseModel):
|
||||
url: str
|
||||
urlIdx: int
|
||||
|
||||
|
||||
@app.post("/api/pipelines/add")
|
||||
async def add_pipeline(form_data: AddPipelineForm, user=Depends(get_admin_user)):
|
||||
r = None
|
||||
try:
|
||||
urlIdx = form_data.urlIdx
|
||||
|
||||
url = openai_app.state.config.OPENAI_API_BASE_URLS[urlIdx]
|
||||
key = openai_app.state.config.OPENAI_API_KEYS[urlIdx]
|
||||
|
||||
headers = {"Authorization": f"Bearer {key}"}
|
||||
r = requests.post(
|
||||
f"{url}/pipelines/add", headers=headers, json={"url": form_data.url}
|
||||
)
|
||||
|
||||
r.raise_for_status()
|
||||
data = r.json()
|
||||
|
||||
return {**data}
|
||||
except Exception as e:
|
||||
# Handle connection error here
|
||||
print(f"Connection error: {e}")
|
||||
|
||||
detail = "Pipeline not found"
|
||||
if r is not None:
|
||||
try:
|
||||
res = r.json()
|
||||
if "detail" in res:
|
||||
detail = res["detail"]
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
raise HTTPException(
|
||||
status_code=(r.status_code if r is not None else status.HTTP_404_NOT_FOUND),
|
||||
detail=detail,
|
||||
)
|
||||
|
||||
|
||||
class DeletePipelineForm(BaseModel):
|
||||
id: str
|
||||
urlIdx: int
|
||||
|
||||
|
||||
@app.delete("/api/pipelines/delete")
|
||||
async def delete_pipeline(form_data: DeletePipelineForm, user=Depends(get_admin_user)):
|
||||
r = None
|
||||
try:
|
||||
urlIdx = form_data.urlIdx
|
||||
|
||||
url = openai_app.state.config.OPENAI_API_BASE_URLS[urlIdx]
|
||||
key = openai_app.state.config.OPENAI_API_KEYS[urlIdx]
|
||||
|
||||
headers = {"Authorization": f"Bearer {key}"}
|
||||
r = requests.delete(
|
||||
f"{url}/pipelines/delete", headers=headers, json={"id": form_data.id}
|
||||
)
|
||||
|
||||
r.raise_for_status()
|
||||
data = r.json()
|
||||
|
||||
return {**data}
|
||||
except Exception as e:
|
||||
# Handle connection error here
|
||||
print(f"Connection error: {e}")
|
||||
|
||||
detail = "Pipeline not found"
|
||||
if r is not None:
|
||||
try:
|
||||
res = r.json()
|
||||
if "detail" in res:
|
||||
detail = res["detail"]
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
raise HTTPException(
|
||||
status_code=(r.status_code if r is not None else status.HTTP_404_NOT_FOUND),
|
||||
detail=detail,
|
||||
)
|
||||
|
||||
|
||||
@app.get("/api/pipelines")
|
||||
async def get_pipelines(urlIdx: Optional[int] = None, user=Depends(get_admin_user)):
|
||||
r = None
|
||||
try:
|
||||
url = openai_app.state.config.OPENAI_API_BASE_URLS[urlIdx]
|
||||
key = openai_app.state.config.OPENAI_API_KEYS[urlIdx]
|
||||
|
||||
headers = {"Authorization": f"Bearer {key}"}
|
||||
r = requests.get(f"{url}/pipelines", headers=headers)
|
||||
|
||||
r.raise_for_status()
|
||||
data = r.json()
|
||||
|
||||
return {**data}
|
||||
except Exception as e:
|
||||
# Handle connection error here
|
||||
print(f"Connection error: {e}")
|
||||
|
||||
detail = "Pipeline not found"
|
||||
if r is not None:
|
||||
try:
|
||||
res = r.json()
|
||||
if "detail" in res:
|
||||
detail = res["detail"]
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
raise HTTPException(
|
||||
status_code=(r.status_code if r is not None else status.HTTP_404_NOT_FOUND),
|
||||
detail=detail,
|
||||
)
|
||||
|
||||
|
||||
@app.get("/api/pipelines/{pipeline_id}/valves")
|
||||
async def get_pipeline_valves(
|
||||
urlIdx: Optional[int],
|
||||
pipeline_id: str,
|
||||
user=Depends(get_admin_user),
|
||||
):
|
||||
r = None
|
||||
try:
|
||||
url = openai_app.state.config.OPENAI_API_BASE_URLS[urlIdx]
|
||||
key = openai_app.state.config.OPENAI_API_KEYS[urlIdx]
|
||||
|
||||
headers = {"Authorization": f"Bearer {key}"}
|
||||
r = requests.get(f"{url}/{pipeline_id}/valves", headers=headers)
|
||||
|
||||
r.raise_for_status()
|
||||
data = r.json()
|
||||
|
||||
return {**data}
|
||||
except Exception as e:
|
||||
# Handle connection error here
|
||||
print(f"Connection error: {e}")
|
||||
|
||||
detail = "Pipeline not found"
|
||||
|
||||
if r is not None:
|
||||
try:
|
||||
res = r.json()
|
||||
if "detail" in res:
|
||||
detail = res["detail"]
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
raise HTTPException(
|
||||
status_code=(r.status_code if r is not None else status.HTTP_404_NOT_FOUND),
|
||||
detail=detail,
|
||||
)
|
||||
|
||||
|
||||
@app.get("/api/pipelines/{pipeline_id}/valves/spec")
|
||||
async def get_pipeline_valves_spec(
|
||||
urlIdx: Optional[int],
|
||||
pipeline_id: str,
|
||||
user=Depends(get_admin_user),
|
||||
):
|
||||
r = None
|
||||
try:
|
||||
url = openai_app.state.config.OPENAI_API_BASE_URLS[urlIdx]
|
||||
key = openai_app.state.config.OPENAI_API_KEYS[urlIdx]
|
||||
|
||||
headers = {"Authorization": f"Bearer {key}"}
|
||||
r = requests.get(f"{url}/{pipeline_id}/valves/spec", headers=headers)
|
||||
|
||||
r.raise_for_status()
|
||||
data = r.json()
|
||||
|
||||
return {**data}
|
||||
except Exception as e:
|
||||
# Handle connection error here
|
||||
print(f"Connection error: {e}")
|
||||
|
||||
detail = "Pipeline not found"
|
||||
if r is not None:
|
||||
try:
|
||||
res = r.json()
|
||||
if "detail" in res:
|
||||
detail = res["detail"]
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
raise HTTPException(
|
||||
status_code=(r.status_code if r is not None else status.HTTP_404_NOT_FOUND),
|
||||
detail=detail,
|
||||
)
|
||||
|
||||
|
||||
@app.post("/api/pipelines/{pipeline_id}/valves/update")
|
||||
async def update_pipeline_valves(
|
||||
urlIdx: Optional[int],
|
||||
pipeline_id: str,
|
||||
form_data: dict,
|
||||
user=Depends(get_admin_user),
|
||||
):
|
||||
r = None
|
||||
try:
|
||||
url = openai_app.state.config.OPENAI_API_BASE_URLS[urlIdx]
|
||||
key = openai_app.state.config.OPENAI_API_KEYS[urlIdx]
|
||||
|
||||
headers = {"Authorization": f"Bearer {key}"}
|
||||
r = requests.post(
|
||||
f"{url}/{pipeline_id}/valves/update",
|
||||
headers=headers,
|
||||
json={**form_data},
|
||||
)
|
||||
|
||||
r.raise_for_status()
|
||||
data = r.json()
|
||||
|
||||
return {**data}
|
||||
except Exception as e:
|
||||
# Handle connection error here
|
||||
print(f"Connection error: {e}")
|
||||
|
||||
detail = "Pipeline not found"
|
||||
|
||||
if r is not None:
|
||||
try:
|
||||
res = r.json()
|
||||
if "detail" in res:
|
||||
detail = res["detail"]
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
raise HTTPException(
|
||||
status_code=(r.status_code if r is not None else status.HTTP_404_NOT_FOUND),
|
||||
detail=detail,
|
||||
)
|
||||
|
@ -1,6 +1,6 @@
|
||||
from typing import Optional
|
||||
|
||||
from open_webui.apps.webui.models.prompts import (
|
||||
from open_webui.models.prompts import (
|
||||
PromptForm,
|
||||
PromptUserResponse,
|
||||
PromptModel,
|
@ -18,7 +18,7 @@ import tiktoken
|
||||
|
||||
|
||||
from open_webui.storage.provider import Storage
|
||||
from open_webui.apps.webui.models.knowledge import Knowledges
|
||||
from open_webui.models.knowledge import Knowledges
|
||||
from open_webui.apps.retrieval.vector.connector import VECTOR_DB_CLIENT
|
||||
|
||||
# Document loaders
|
||||
@ -43,7 +43,7 @@ from open_webui.apps.retrieval.web.tavily import search_tavily
|
||||
from open_webui.apps.retrieval.web.bing import search_bing
|
||||
|
||||
|
||||
from open_webui.apps.retrieval.utils import (
|
||||
from backend.open_webui.retrieval.utils import (
|
||||
get_embedding_function,
|
||||
get_model_path,
|
||||
query_collection,
|
||||
@ -52,7 +52,7 @@ from open_webui.apps.retrieval.utils import (
|
||||
query_doc_with_hybrid_search,
|
||||
)
|
||||
|
||||
from open_webui.apps.webui.models.files import Files
|
||||
from open_webui.models.files import Files
|
||||
from open_webui.config import (
|
||||
BRAVE_SEARCH_API_KEY,
|
||||
KAGI_SEARCH_API_KEY,
|
@ -2,6 +2,8 @@ from fastapi import APIRouter, Depends, HTTPException, Response, status, Request
|
||||
from pydantic import BaseModel
|
||||
from starlette.responses import FileResponse
|
||||
from typing import Optional
|
||||
import logging
|
||||
|
||||
|
||||
from open_webui.utils.task import (
|
||||
title_generation_template,
|
||||
@ -12,6 +14,17 @@ from open_webui.utils.task import (
|
||||
moa_response_generation_template,
|
||||
)
|
||||
from open_webui.utils.auth import get_admin_user, get_verified_user
|
||||
from open_webui.constants import TASKS
|
||||
|
||||
from open_webui.config import (
|
||||
DEFAULT_QUERY_GENERATION_PROMPT_TEMPLATE,
|
||||
DEFAULT_AUTOCOMPLETE_GENERATION_PROMPT_TEMPLATE,
|
||||
)
|
||||
from open_webui.env import SRC_LOG_LEVELS
|
||||
|
||||
|
||||
log = logging.getLogger(__name__)
|
||||
log.setLevel(SRC_LOG_LEVELS["MODELS"])
|
||||
|
||||
router = APIRouter()
|
||||
|
||||
@ -197,7 +210,9 @@ Artificial Intelligence in Healthcare
|
||||
|
||||
|
||||
@router.post("/tags/completions")
|
||||
async def generate_chat_tags(form_data: dict, user=Depends(get_verified_user)):
|
||||
async def generate_chat_tags(
|
||||
request: Request, form_data: dict, user=Depends(get_verified_user)
|
||||
):
|
||||
|
||||
if not request.app.state.config.ENABLE_TAGS_GENERATION:
|
||||
return JSONResponse(
|
||||
|
@ -1,14 +1,14 @@
|
||||
from pathlib import Path
|
||||
from typing import Optional
|
||||
|
||||
from open_webui.apps.webui.models.tools import (
|
||||
from open_webui.models.tools import (
|
||||
ToolForm,
|
||||
ToolModel,
|
||||
ToolResponse,
|
||||
ToolUserResponse,
|
||||
Tools,
|
||||
)
|
||||
from open_webui.apps.webui.utils import load_tools_module_by_id, replace_imports
|
||||
from backend.open_webui.utils.plugin import load_tools_module_by_id, replace_imports
|
||||
from open_webui.config import CACHE_DIR
|
||||
from open_webui.constants import ERROR_MESSAGES
|
||||
from fastapi import APIRouter, Depends, HTTPException, Request, status
|
@ -1,9 +1,9 @@
|
||||
import logging
|
||||
from typing import Optional
|
||||
|
||||
from open_webui.apps.webui.models.auths import Auths
|
||||
from open_webui.apps.webui.models.chats import Chats
|
||||
from open_webui.apps.webui.models.users import (
|
||||
from open_webui.models.auths import Auths
|
||||
from open_webui.models.chats import Chats
|
||||
from open_webui.models.users import (
|
||||
UserModel,
|
||||
UserRoleUpdateForm,
|
||||
Users,
|
@ -1,7 +1,7 @@
|
||||
import black
|
||||
import markdown
|
||||
|
||||
from open_webui.apps.webui.models.chats import ChatTitleMessagesForm
|
||||
from open_webui.models.chats import ChatTitleMessagesForm
|
||||
from open_webui.config import DATA_DIR, ENABLE_ADMIN_EXPORT
|
||||
from open_webui.constants import ERROR_MESSAGES
|
||||
from fastapi import APIRouter, Depends, HTTPException, Response, status
|
||||
@ -76,7 +76,7 @@ async def download_db(user=Depends(get_admin_user)):
|
||||
status_code=status.HTTP_401_UNAUTHORIZED,
|
||||
detail=ERROR_MESSAGES.ACCESS_PROHIBITED,
|
||||
)
|
||||
from open_webui.apps.webui.internal.db import engine
|
||||
from open_webui.internal.db import engine
|
||||
|
||||
if engine.name != "sqlite":
|
||||
raise HTTPException(
|
@ -5,9 +5,9 @@ import time
|
||||
from typing import AsyncGenerator, Generator, Iterator
|
||||
|
||||
from open_webui.apps.socket.main import get_event_call, get_event_emitter
|
||||
from open_webui.apps.webui.models.functions import Functions
|
||||
from open_webui.apps.webui.models.models import Models
|
||||
from open_webui.apps.webui.routers import (
|
||||
from open_webui.models.functions import Functions
|
||||
from open_webui.models.models import Models
|
||||
from open_webui.routers import (
|
||||
auths,
|
||||
chats,
|
||||
folders,
|
||||
@ -24,7 +24,7 @@ from open_webui.apps.webui.routers import (
|
||||
users,
|
||||
utils,
|
||||
)
|
||||
from open_webui.apps.webui.utils import load_function_module_by_id
|
||||
from backend.open_webui.utils.plugin import load_function_module_by_id
|
||||
from open_webui.config import (
|
||||
ADMIN_EMAIL,
|
||||
CORS_ALLOW_ORIGIN,
|
@ -6,7 +6,7 @@ import logging
|
||||
import sys
|
||||
import time
|
||||
|
||||
from open_webui.apps.webui.models.users import Users
|
||||
from open_webui.models.users import Users
|
||||
from open_webui.env import (
|
||||
ENABLE_WEBSOCKET_SUPPORT,
|
||||
WEBSOCKET_MANAGER,
|
@ -7,8 +7,8 @@ class TestAuths(AbstractPostgresTest):
|
||||
|
||||
def setup_class(cls):
|
||||
super().setup_class()
|
||||
from open_webui.apps.webui.models.auths import Auths
|
||||
from open_webui.apps.webui.models.users import Users
|
||||
from open_webui.models.auths import Auths
|
||||
from open_webui.models.users import Users
|
||||
|
||||
cls.users = Users
|
||||
cls.auths = Auths
|
||||
|
Some files were not shown because too many files have changed in this diff Show More
Loading…
Reference in New Issue
Block a user