Merge branch 'open-webui:main' into main

This commit is contained in:
Igor Brai
2024-11-21 15:25:41 +02:00
committed by GitHub
264 changed files with 29675 additions and 15258 deletions

View File

@@ -20,6 +20,7 @@ from open_webui.env import (
WEBUI_FAVICON_URL,
WEBUI_NAME,
log,
DATABASE_URL,
)
from pydantic import BaseModel
from sqlalchemy import JSON, Column, DateTime, Integer, func
@@ -264,6 +265,13 @@ class AppConfig:
# WEBUI_AUTH (Required for security)
####################################
ENABLE_API_KEY = PersistentConfig(
"ENABLE_API_KEY",
"auth.api_key.enable",
os.environ.get("ENABLE_API_KEY", "True").lower() == "true",
)
JWT_EXPIRES_IN = PersistentConfig(
"JWT_EXPIRES_IN", "auth.jwt_expiry", os.environ.get("JWT_EXPIRES_IN", "-1")
)
@@ -606,6 +614,12 @@ OLLAMA_BASE_URLS = PersistentConfig(
"OLLAMA_BASE_URLS", "ollama.base_urls", OLLAMA_BASE_URLS
)
OLLAMA_API_CONFIGS = PersistentConfig(
"OLLAMA_API_CONFIGS",
"ollama.api_configs",
{},
)
####################################
# OPENAI_API
####################################
@@ -646,15 +660,20 @@ OPENAI_API_BASE_URLS = PersistentConfig(
"OPENAI_API_BASE_URLS", "openai.api_base_urls", OPENAI_API_BASE_URLS
)
OPENAI_API_KEY = ""
OPENAI_API_CONFIGS = PersistentConfig(
"OPENAI_API_CONFIGS",
"openai.api_configs",
{},
)
# Get the actual OpenAI API key based on the base URL
OPENAI_API_KEY = ""
try:
OPENAI_API_KEY = OPENAI_API_KEYS.value[
OPENAI_API_BASE_URLS.value.index("https://api.openai.com/v1")
]
except Exception:
pass
OPENAI_API_BASE_URL = "https://api.openai.com/v1"
####################################
@@ -727,12 +746,36 @@ DEFAULT_USER_ROLE = PersistentConfig(
os.getenv("DEFAULT_USER_ROLE", "pending"),
)
USER_PERMISSIONS_CHAT_DELETION = (
os.environ.get("USER_PERMISSIONS_CHAT_DELETION", "True").lower() == "true"
USER_PERMISSIONS_WORKSPACE_MODELS_ACCESS = (
os.environ.get("USER_PERMISSIONS_WORKSPACE_MODELS_ACCESS", "False").lower()
== "true"
)
USER_PERMISSIONS_CHAT_EDITING = (
os.environ.get("USER_PERMISSIONS_CHAT_EDITING", "True").lower() == "true"
USER_PERMISSIONS_WORKSPACE_KNOWLEDGE_ACCESS = (
os.environ.get("USER_PERMISSIONS_WORKSPACE_KNOWLEDGE_ACCESS", "False").lower()
== "true"
)
USER_PERMISSIONS_WORKSPACE_PROMPTS_ACCESS = (
os.environ.get("USER_PERMISSIONS_WORKSPACE_PROMPTS_ACCESS", "False").lower()
== "true"
)
USER_PERMISSIONS_WORKSPACE_TOOLS_ACCESS = (
os.environ.get("USER_PERMISSIONS_WORKSPACE_TOOLS_ACCESS", "False").lower() == "true"
)
USER_PERMISSIONS_CHAT_FILE_UPLOAD = (
os.environ.get("USER_PERMISSIONS_CHAT_FILE_UPLOAD", "True").lower() == "true"
)
USER_PERMISSIONS_CHAT_DELETE = (
os.environ.get("USER_PERMISSIONS_CHAT_DELETE", "True").lower() == "true"
)
USER_PERMISSIONS_CHAT_EDIT = (
os.environ.get("USER_PERMISSIONS_CHAT_EDIT", "True").lower() == "true"
)
USER_PERMISSIONS_CHAT_TEMPORARY = (
@@ -741,13 +784,20 @@ USER_PERMISSIONS_CHAT_TEMPORARY = (
USER_PERMISSIONS = PersistentConfig(
"USER_PERMISSIONS",
"ui.user_permissions",
"user.permissions",
{
"workspace": {
"models": USER_PERMISSIONS_WORKSPACE_MODELS_ACCESS,
"knowledge": USER_PERMISSIONS_WORKSPACE_KNOWLEDGE_ACCESS,
"prompts": USER_PERMISSIONS_WORKSPACE_PROMPTS_ACCESS,
"tools": USER_PERMISSIONS_WORKSPACE_TOOLS_ACCESS,
},
"chat": {
"deletion": USER_PERMISSIONS_CHAT_DELETION,
"editing": USER_PERMISSIONS_CHAT_EDITING,
"file_upload": USER_PERMISSIONS_CHAT_FILE_UPLOAD,
"delete": USER_PERMISSIONS_CHAT_DELETE,
"edit": USER_PERMISSIONS_CHAT_EDIT,
"temporary": USER_PERMISSIONS_CHAT_TEMPORARY,
}
},
},
)
@@ -773,18 +823,6 @@ DEFAULT_ARENA_MODEL = {
},
}
ENABLE_MODEL_FILTER = PersistentConfig(
"ENABLE_MODEL_FILTER",
"model_filter.enable",
os.environ.get("ENABLE_MODEL_FILTER", "False").lower() == "true",
)
MODEL_FILTER_LIST = os.environ.get("MODEL_FILTER_LIST", "")
MODEL_FILTER_LIST = PersistentConfig(
"MODEL_FILTER_LIST",
"model_filter.list",
[model.strip() for model in MODEL_FILTER_LIST.split(";")],
)
WEBHOOK_URL = PersistentConfig(
"WEBHOOK_URL", "webhook_url", os.environ.get("WEBHOOK_URL", "")
)
@@ -904,19 +942,55 @@ TAGS_GENERATION_PROMPT_TEMPLATE = PersistentConfig(
os.environ.get("TAGS_GENERATION_PROMPT_TEMPLATE", ""),
)
ENABLE_SEARCH_QUERY = PersistentConfig(
"ENABLE_SEARCH_QUERY",
"task.search.enable",
os.environ.get("ENABLE_SEARCH_QUERY", "True").lower() == "true",
ENABLE_TAGS_GENERATION = PersistentConfig(
"ENABLE_TAGS_GENERATION",
"task.tags.enable",
os.environ.get("ENABLE_TAGS_GENERATION", "True").lower() == "true",
)
SEARCH_QUERY_GENERATION_PROMPT_TEMPLATE = PersistentConfig(
"SEARCH_QUERY_GENERATION_PROMPT_TEMPLATE",
"task.search.prompt_template",
os.environ.get("SEARCH_QUERY_GENERATION_PROMPT_TEMPLATE", ""),
ENABLE_SEARCH_QUERY_GENERATION = PersistentConfig(
"ENABLE_SEARCH_QUERY_GENERATION",
"task.query.search.enable",
os.environ.get("ENABLE_SEARCH_QUERY_GENERATION", "True").lower() == "true",
)
ENABLE_RETRIEVAL_QUERY_GENERATION = PersistentConfig(
"ENABLE_RETRIEVAL_QUERY_GENERATION",
"task.query.retrieval.enable",
os.environ.get("ENABLE_RETRIEVAL_QUERY_GENERATION", "True").lower() == "true",
)
QUERY_GENERATION_PROMPT_TEMPLATE = PersistentConfig(
"QUERY_GENERATION_PROMPT_TEMPLATE",
"task.query.prompt_template",
os.environ.get("QUERY_GENERATION_PROMPT_TEMPLATE", ""),
)
DEFAULT_QUERY_GENERATION_PROMPT_TEMPLATE = """### Task:
Based on the chat history, determine whether a search is necessary, and if so, generate a 1-3 broad search queries to retrieve comprehensive and updated information. If no search is required, return an empty list.
### Guidelines:
- Respond exclusively with a JSON object.
- If a search query is needed, return an object like: { "queries": ["query1", "query2"] } where each query is distinct and concise.
- If no search query is necessary, output should be: { "queries": [] }
- Default to suggesting a search query to ensure accurate and updated information, unless it is definitively clear no search is required.
- Be concise, focusing strictly on composing search queries with no additional commentary or text.
- When in doubt, prefer to suggest a search for comprehensiveness.
- Today's date is: {{CURRENT_DATE}}
### Output:
JSON format: {
"queries": ["query1", "query2"]
}
### Chat History:
<chat_history>
{{MESSAGES:END:6}}
</chat_history>
"""
TOOLS_FUNCTION_CALLING_PROMPT_TEMPLATE = PersistentConfig(
"TOOLS_FUNCTION_CALLING_PROMPT_TEMPLATE",
@@ -937,6 +1011,8 @@ CHROMA_TENANT = os.environ.get("CHROMA_TENANT", chromadb.DEFAULT_TENANT)
CHROMA_DATABASE = os.environ.get("CHROMA_DATABASE", chromadb.DEFAULT_DATABASE)
CHROMA_HTTP_HOST = os.environ.get("CHROMA_HTTP_HOST", "")
CHROMA_HTTP_PORT = int(os.environ.get("CHROMA_HTTP_PORT", "8000"))
CHROMA_CLIENT_AUTH_PROVIDER = os.environ.get("CHROMA_CLIENT_AUTH_PROVIDER", "")
CHROMA_CLIENT_AUTH_CREDENTIALS = os.environ.get("CHROMA_CLIENT_AUTH_CREDENTIALS", "")
# Comma-separated list of header=value pairs
CHROMA_HTTP_HEADERS = os.environ.get("CHROMA_HTTP_HEADERS", "")
if CHROMA_HTTP_HEADERS:
@@ -954,6 +1030,21 @@ MILVUS_URI = os.environ.get("MILVUS_URI", f"{DATA_DIR}/vector_db/milvus.db")
# Qdrant
QDRANT_URI = os.environ.get("QDRANT_URI", None)
QDRANT_API_KEY = os.environ.get("QDRANT_API_KEY", None)
# OpenSearch
OPENSEARCH_URI = os.environ.get("OPENSEARCH_URI", "https://localhost:9200")
OPENSEARCH_SSL = os.environ.get("OPENSEARCH_SSL", True)
OPENSEARCH_CERT_VERIFY = os.environ.get("OPENSEARCH_CERT_VERIFY", False)
OPENSEARCH_USERNAME = os.environ.get("OPENSEARCH_USERNAME", None)
OPENSEARCH_PASSWORD = os.environ.get("OPENSEARCH_PASSWORD", None)
# Pgvector
PGVECTOR_DB_URL = os.environ.get("PGVECTOR_DB_URL", DATABASE_URL)
if VECTOR_DB == "pgvector" and not PGVECTOR_DB_URL.startswith("postgres"):
raise ValueError(
"Pgvector requires setting PGVECTOR_DB_URL or using Postgres with vector extension as the primary database."
)
####################################
# Information Retrieval (RAG)
@@ -1033,11 +1124,11 @@ RAG_EMBEDDING_MODEL = PersistentConfig(
log.info(f"Embedding model set: {RAG_EMBEDDING_MODEL.value}")
RAG_EMBEDDING_MODEL_AUTO_UPDATE = (
os.environ.get("RAG_EMBEDDING_MODEL_AUTO_UPDATE", "").lower() == "true"
os.environ.get("RAG_EMBEDDING_MODEL_AUTO_UPDATE", "True").lower() == "true"
)
RAG_EMBEDDING_MODEL_TRUST_REMOTE_CODE = (
os.environ.get("RAG_EMBEDDING_MODEL_TRUST_REMOTE_CODE", "").lower() == "true"
os.environ.get("RAG_EMBEDDING_MODEL_TRUST_REMOTE_CODE", "True").lower() == "true"
)
RAG_EMBEDDING_BATCH_SIZE = PersistentConfig(
@@ -1058,11 +1149,11 @@ if RAG_RERANKING_MODEL.value != "":
log.info(f"Reranking model set: {RAG_RERANKING_MODEL.value}")
RAG_RERANKING_MODEL_AUTO_UPDATE = (
os.environ.get("RAG_RERANKING_MODEL_AUTO_UPDATE", "").lower() == "true"
os.environ.get("RAG_RERANKING_MODEL_AUTO_UPDATE", "True").lower() == "true"
)
RAG_RERANKING_MODEL_TRUST_REMOTE_CODE = (
os.environ.get("RAG_RERANKING_MODEL_TRUST_REMOTE_CODE", "").lower() == "true"
os.environ.get("RAG_RERANKING_MODEL_TRUST_REMOTE_CODE", "True").lower() == "true"
)
@@ -1127,6 +1218,19 @@ RAG_OPENAI_API_KEY = PersistentConfig(
os.getenv("RAG_OPENAI_API_KEY", OPENAI_API_KEY),
)
RAG_OLLAMA_BASE_URL = PersistentConfig(
"RAG_OLLAMA_BASE_URL",
"rag.ollama.url",
os.getenv("RAG_OLLAMA_BASE_URL", OLLAMA_BASE_URL),
)
RAG_OLLAMA_API_KEY = PersistentConfig(
"RAG_OLLAMA_API_KEY",
"rag.ollama.key",
os.getenv("RAG_OLLAMA_API_KEY", ""),
)
ENABLE_RAG_LOCAL_WEB_FETCH = (
os.getenv("ENABLE_RAG_LOCAL_WEB_FETCH", "False").lower() == "true"
)
@@ -1222,6 +1326,12 @@ TAVILY_API_KEY = PersistentConfig(
os.getenv("TAVILY_API_KEY", ""),
)
JINA_API_KEY = PersistentConfig(
"JINA_API_KEY",
"rag.web.search.jina_api_key",
os.getenv("JINA_API_KEY", ""),
)
SEARCHAPI_API_KEY = PersistentConfig(
"SEARCHAPI_API_KEY",
"rag.web.search.searchapi_api_key",
@@ -1234,6 +1344,21 @@ SEARCHAPI_ENGINE = PersistentConfig(
os.getenv("SEARCHAPI_ENGINE", ""),
)
BING_SEARCH_V7_ENDPOINT = PersistentConfig(
"BING_SEARCH_V7_ENDPOINT",
"rag.web.search.bing_search_v7_endpoint",
os.environ.get(
"BING_SEARCH_V7_ENDPOINT", "https://api.bing.microsoft.com/v7.0/search"
),
)
BING_SEARCH_V7_SUBSCRIPTION_KEY = PersistentConfig(
"BING_SEARCH_V7_SUBSCRIPTION_KEY",
"rag.web.search.bing_search_v7_subscription_key",
os.environ.get("BING_SEARCH_V7_SUBSCRIPTION_KEY", ""),
)
RAG_WEB_SEARCH_RESULT_COUNT = PersistentConfig(
"RAG_WEB_SEARCH_RESULT_COUNT",
"rag.web.search.result_count",
@@ -1285,7 +1410,7 @@ AUTOMATIC1111_CFG_SCALE = PersistentConfig(
AUTOMATIC1111_SAMPLER = PersistentConfig(
"AUTOMATIC1111_SAMPLERE",
"AUTOMATIC1111_SAMPLER",
"image_generation.automatic1111.sampler",
(
os.environ.get("AUTOMATIC1111_SAMPLER")
@@ -1554,3 +1679,74 @@ AUDIO_TTS_AZURE_SPEECH_OUTPUT_FORMAT = PersistentConfig(
"AUDIO_TTS_AZURE_SPEECH_OUTPUT_FORMAT", "audio-24khz-160kbitrate-mono-mp3"
),
)
####################################
# LDAP
####################################
ENABLE_LDAP = PersistentConfig(
"ENABLE_LDAP",
"ldap.enable",
os.environ.get("ENABLE_LDAP", "false").lower() == "true",
)
LDAP_SERVER_LABEL = PersistentConfig(
"LDAP_SERVER_LABEL",
"ldap.server.label",
os.environ.get("LDAP_SERVER_LABEL", "LDAP Server"),
)
LDAP_SERVER_HOST = PersistentConfig(
"LDAP_SERVER_HOST",
"ldap.server.host",
os.environ.get("LDAP_SERVER_HOST", "localhost"),
)
LDAP_SERVER_PORT = PersistentConfig(
"LDAP_SERVER_PORT",
"ldap.server.port",
int(os.environ.get("LDAP_SERVER_PORT", "389")),
)
LDAP_ATTRIBUTE_FOR_USERNAME = PersistentConfig(
"LDAP_ATTRIBUTE_FOR_USERNAME",
"ldap.server.attribute_for_username",
os.environ.get("LDAP_ATTRIBUTE_FOR_USERNAME", "uid"),
)
LDAP_APP_DN = PersistentConfig(
"LDAP_APP_DN", "ldap.server.app_dn", os.environ.get("LDAP_APP_DN", "")
)
LDAP_APP_PASSWORD = PersistentConfig(
"LDAP_APP_PASSWORD",
"ldap.server.app_password",
os.environ.get("LDAP_APP_PASSWORD", ""),
)
LDAP_SEARCH_BASE = PersistentConfig(
"LDAP_SEARCH_BASE", "ldap.server.users_dn", os.environ.get("LDAP_SEARCH_BASE", "")
)
LDAP_SEARCH_FILTERS = PersistentConfig(
"LDAP_SEARCH_FILTER",
"ldap.server.search_filter",
os.environ.get("LDAP_SEARCH_FILTER", ""),
)
LDAP_USE_TLS = PersistentConfig(
"LDAP_USE_TLS",
"ldap.server.use_tls",
os.environ.get("LDAP_USE_TLS", "True").lower() == "true",
)
LDAP_CA_CERT_FILE = PersistentConfig(
"LDAP_CA_CERT_FILE",
"ldap.server.ca_cert_file",
os.environ.get("LDAP_CA_CERT_FILE", ""),
)
LDAP_CIPHERS = PersistentConfig(
"LDAP_CIPHERS", "ldap.server.ciphers", os.environ.get("LDAP_CIPHERS", "ALL")
)