open-webui/backend/config.py

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import os
import chromadb
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from chromadb import Settings
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from base64 import b64encode
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from bs4 import BeautifulSoup
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from pathlib import Path
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import json
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import yaml
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import markdown
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import requests
import shutil
from secrets import token_bytes
from constants import ERROR_MESSAGES
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try:
from dotenv import load_dotenv, find_dotenv
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load_dotenv(find_dotenv("../.env"))
except ImportError:
print("dotenv not installed, skipping...")
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WEBUI_NAME = "Open WebUI"
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shutil.copyfile("../build/favicon.png", "./static/favicon.png")
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####################################
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# ENV (dev,test,prod)
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####################################
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ENV = os.environ.get("ENV", "dev")
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try:
with open(f"../package.json", "r") as f:
PACKAGE_DATA = json.load(f)
except:
PACKAGE_DATA = {"version": "0.0.0"}
VERSION = PACKAGE_DATA["version"]
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# Function to parse each section
def parse_section(section):
items = []
for li in section.find_all("li"):
# Extract raw HTML string
raw_html = str(li)
# Extract text without HTML tags
text = li.get_text(separator=" ", strip=True)
# Split into title and content
parts = text.split(": ", 1)
title = parts[0].strip() if len(parts) > 1 else ""
content = parts[1].strip() if len(parts) > 1 else text
items.append({"title": title, "content": content, "raw": raw_html})
return items
try:
with open("../CHANGELOG.md", "r") as file:
changelog_content = file.read()
except:
changelog_content = ""
# Convert markdown content to HTML
html_content = markdown.markdown(changelog_content)
# Parse the HTML content
soup = BeautifulSoup(html_content, "html.parser")
# Initialize JSON structure
changelog_json = {}
# Iterate over each version
for version in soup.find_all("h2"):
version_number = version.get_text().strip().split(" - ")[0][1:-1] # Remove brackets
date = version.get_text().strip().split(" - ")[1]
version_data = {"date": date}
# Find the next sibling that is a h3 tag (section title)
current = version.find_next_sibling()
while current and current.name != "h2":
if current.name == "h3":
section_title = current.get_text().lower() # e.g., "added", "fixed"
section_items = parse_section(current.find_next_sibling("ul"))
version_data[section_title] = section_items
# Move to the next element
current = current.find_next_sibling()
changelog_json[version_number] = version_data
CHANGELOG = changelog_json
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####################################
# CUSTOM_NAME
####################################
CUSTOM_NAME = os.environ.get("CUSTOM_NAME", "")
if CUSTOM_NAME:
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try:
r = requests.get(f"https://api.openwebui.com/api/v1/custom/{CUSTOM_NAME}")
data = r.json()
if r.ok:
if "logo" in data:
url = (
f"https://api.openwebui.com{data['logo']}"
if data["logo"][0] == "/"
else data["logo"]
)
r = requests.get(url, stream=True)
if r.status_code == 200:
with open("./static/favicon.png", "wb") as f:
r.raw.decode_content = True
shutil.copyfileobj(r.raw, f)
WEBUI_NAME = data["name"]
except Exception as e:
print(e)
pass
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####################################
# DATA/FRONTEND BUILD DIR
####################################
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DATA_DIR = str(Path(os.getenv("DATA_DIR", "./data")).resolve())
FRONTEND_BUILD_DIR = str(Path(os.getenv("FRONTEND_BUILD_DIR", "../build")))
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try:
with open(f"{DATA_DIR}/config.json", "r") as f:
CONFIG_DATA = json.load(f)
except:
CONFIG_DATA = {}
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####################################
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# File Upload DIR
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####################################
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UPLOAD_DIR = f"{DATA_DIR}/uploads"
Path(UPLOAD_DIR).mkdir(parents=True, exist_ok=True)
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####################################
# Cache DIR
####################################
CACHE_DIR = f"{DATA_DIR}/cache"
Path(CACHE_DIR).mkdir(parents=True, exist_ok=True)
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####################################
# Docs DIR
####################################
DOCS_DIR = f"{DATA_DIR}/docs"
Path(DOCS_DIR).mkdir(parents=True, exist_ok=True)
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####################################
# LITELLM_CONFIG
####################################
def create_config_file(file_path):
directory = os.path.dirname(file_path)
# Check if directory exists, if not, create it
if not os.path.exists(directory):
os.makedirs(directory)
# Data to write into the YAML file
config_data = {
"general_settings": {},
"litellm_settings": {},
"model_list": [],
"router_settings": {},
}
# Write data to YAML file
with open(file_path, "w") as file:
yaml.dump(config_data, file)
LITELLM_CONFIG_PATH = f"{DATA_DIR}/litellm/config.yaml"
if not os.path.exists(LITELLM_CONFIG_PATH):
print("Config file doesn't exist. Creating...")
create_config_file(LITELLM_CONFIG_PATH)
print("Config file created successfully.")
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####################################
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# OLLAMA_BASE_URL
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####################################
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OLLAMA_API_BASE_URL = os.environ.get(
"OLLAMA_API_BASE_URL", "http://localhost:11434/api"
)
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OLLAMA_BASE_URL = os.environ.get("OLLAMA_BASE_URL", "")
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if OLLAMA_BASE_URL == "" and OLLAMA_API_BASE_URL != "":
OLLAMA_BASE_URL = (
OLLAMA_API_BASE_URL[:-4]
if OLLAMA_API_BASE_URL.endswith("/api")
else OLLAMA_API_BASE_URL
)
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if ENV == "prod":
if OLLAMA_BASE_URL == "/ollama":
OLLAMA_BASE_URL = "http://host.docker.internal:11434"
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OLLAMA_BASE_URLS = os.environ.get("OLLAMA_BASE_URLS", "")
OLLAMA_BASE_URLS = OLLAMA_BASE_URLS if OLLAMA_BASE_URLS != "" else OLLAMA_BASE_URL
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OLLAMA_BASE_URLS = [url.strip() for url in OLLAMA_BASE_URLS.split(";")]
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####################################
# OPENAI_API
####################################
OPENAI_API_KEY = os.environ.get("OPENAI_API_KEY", "")
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OPENAI_API_BASE_URL = os.environ.get("OPENAI_API_BASE_URL", "")
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if OPENAI_API_BASE_URL == "":
OPENAI_API_BASE_URL = "https://api.openai.com/v1"
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OPENAI_API_KEYS = os.environ.get("OPENAI_API_KEYS", "")
OPENAI_API_KEYS = OPENAI_API_KEYS if OPENAI_API_KEYS != "" else OPENAI_API_KEY
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OPENAI_API_KEYS = [url.strip() for url in OPENAI_API_KEYS.split(";")]
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OPENAI_API_BASE_URLS = os.environ.get("OPENAI_API_BASE_URLS", "")
OPENAI_API_BASE_URLS = (
OPENAI_API_BASE_URLS if OPENAI_API_BASE_URLS != "" else OPENAI_API_BASE_URL
)
OPENAI_API_BASE_URLS = [url.strip() for url in OPENAI_API_BASE_URLS.split(";")]
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####################################
# WEBUI
####################################
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ENABLE_SIGNUP = os.environ.get("ENABLE_SIGNUP", "True").lower() == "true"
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DEFAULT_MODELS = os.environ.get("DEFAULT_MODELS", None)
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DEFAULT_PROMPT_SUGGESTIONS = (
CONFIG_DATA["ui"]["prompt_suggestions"]
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if "ui" in CONFIG_DATA
and "prompt_suggestions" in CONFIG_DATA["ui"]
and type(CONFIG_DATA["ui"]["prompt_suggestions"]) is list
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else [
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{
"title": ["Help me study", "vocabulary for a college entrance exam"],
"content": "Help me study vocabulary: write a sentence for me to fill in the blank, and I'll try to pick the correct option.",
},
{
"title": ["Give me ideas", "for what to do with my kids' art"],
"content": "What are 5 creative things I could do with my kids' art? I don't want to throw them away, but it's also so much clutter.",
},
{
"title": ["Tell me a fun fact", "about the Roman Empire"],
"content": "Tell me a random fun fact about the Roman Empire",
},
{
"title": ["Show me a code snippet", "of a website's sticky header"],
"content": "Show me a code snippet of a website's sticky header in CSS and JavaScript.",
},
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]
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)
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DEFAULT_USER_ROLE = os.getenv("DEFAULT_USER_ROLE", "pending")
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USER_PERMISSIONS = {"chat": {"deletion": True}}
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MODEL_FILTER_ENABLED = os.environ.get("MODEL_FILTER_ENABLED", False)
MODEL_FILTER_LIST = os.environ.get("MODEL_FILTER_LIST", "")
MODEL_FILTER_LIST = [model.strip() for model in MODEL_FILTER_LIST.split(";")]
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####################################
# WEBUI_VERSION
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####################################
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WEBUI_VERSION = os.environ.get("WEBUI_VERSION", "v1.0.0-alpha.100")
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####################################
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# WEBUI_AUTH (Required for security)
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####################################
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WEBUI_AUTH = True
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####################################
# WEBUI_SECRET_KEY
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####################################
WEBUI_SECRET_KEY = os.environ.get(
"WEBUI_SECRET_KEY",
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os.environ.get(
"WEBUI_JWT_SECRET_KEY", "t0p-s3cr3t"
), # DEPRECATED: remove at next major version
)
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if WEBUI_AUTH and WEBUI_SECRET_KEY == "":
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raise ValueError(ERROR_MESSAGES.ENV_VAR_NOT_FOUND)
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####################################
# RAG
####################################
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CHROMA_DATA_PATH = f"{DATA_DIR}/vector_db"
# this uses the model defined in the Dockerfile ENV variable. If you dont use docker or docker based deployments such as k8s, the default embedding model will be used (all-MiniLM-L6-v2)
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RAG_EMBEDDING_MODEL = os.environ.get("RAG_EMBEDDING_MODEL", "all-MiniLM-L6-v2")
# device type ebbeding models - "cpu" (default), "cuda" (nvidia gpu required) or "mps" (apple silicon) - choosing this right can lead to better performance
DEVICE_TYPE = os.environ.get(
"DEVICE_TYPE", "cpu"
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)
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CHROMA_CLIENT = chromadb.PersistentClient(
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path=CHROMA_DATA_PATH,
settings=Settings(allow_reset=True, anonymized_telemetry=False),
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)
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CHUNK_SIZE = 1500
CHUNK_OVERLAP = 100
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RAG_TEMPLATE = """Use the following context as your learned knowledge, inside <context></context> XML tags.
<context>
[context]
</context>
When answer to user:
- If you don't know, just say that you don't know.
- If you don't know when you are not sure, ask for clarification.
Avoid mentioning that you obtained the information from the context.
And answer according to the language of the user's question.
Given the context information, answer the query.
Query: [query]"""
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####################################
# Transcribe
####################################
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WHISPER_MODEL = os.getenv("WHISPER_MODEL", "base")
WHISPER_MODEL_DIR = os.getenv("WHISPER_MODEL_DIR", f"{CACHE_DIR}/whisper/models")
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####################################
# Images
####################################
AUTOMATIC1111_BASE_URL = os.getenv("AUTOMATIC1111_BASE_URL", "")