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@@ -52,6 +52,8 @@ jobs:
|
||||
|
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- name: Cypress run
|
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uses: cypress-io/github-action@v6
|
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env:
|
||||
LIBGL_ALWAYS_SOFTWARE: 1
|
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with:
|
||||
browser: chrome
|
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wait-on: 'http://localhost:3000'
|
||||
+123
-1
@@ -5,7 +5,129 @@ All notable changes to this project will be documented in this file.
|
||||
The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.1.0/),
|
||||
and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
|
||||
|
||||
## [0.5.4] - 2024-01-05
|
||||
## [0.5.11] - 2025-02-13
|
||||
|
||||
### Added
|
||||
|
||||
- **🎤 Kokoro-JS TTS Support**: A new on-device, high-quality text-to-speech engine has been integrated, vastly improving voice generation quality—everything runs directly in your browser.
|
||||
- **🐍 Jupyter Notebook Support in Code Interpreter**: Now, you can configure Code Interpreter to run Python code not only via Pyodide but also through Jupyter, offering a more robust coding environment for AI-driven computations and analysis.
|
||||
- **🔗 Direct API Connections for Private & Local Inference**: You can now connect Open WebUI to your private or localhost API inference endpoints. CORS must be enabled, but this unlocks direct, on-device AI infrastructure support.
|
||||
- **🔍 Advanced Domain Filtering for Web Search**: You can now specify which domains should be included or excluded from web searches, refining results for more relevant information retrieval.
|
||||
- **🚀 Improved Image Generation Metadata Handling**: Generated images now retain metadata for better organization and future retrieval.
|
||||
- **📂 S3 Key Prefix Support**: Fine-grained control over S3 storage file structuring with configurable key prefixes.
|
||||
- **📸 Support for Image-Only Messages**: Send messages containing only images, facilitating more visual-centric interactions.
|
||||
- **🌍 Updated Translations**: German, Spanish, Traditional Chinese, and Catalan translations updated for better multilingual support.
|
||||
|
||||
### Fixed
|
||||
|
||||
- **🔧 OAuth Debug Logs & Username Claim Fixes**: Debug logs have been added for OAuth role and group management, with fixes ensuring proper OAuth username retrieval and claim handling.
|
||||
- **📌 Citations Formatting & Toggle Fixes**: Inline citation toggles now function correctly, and citations with more than three sources are now fully visible when expanded.
|
||||
- **📸 ComfyUI Maximum Seed Value Constraint Fixed**: The maximum allowed seed value for ComfyUI has been corrected, preventing unintended behavior.
|
||||
- **🔑 Connection Settings Stability**: Addressed connection settings issues that were causing instability when saving configurations.
|
||||
- **📂 GGUF Model Upload Stability**: Fixed upload inconsistencies for GGUF models, ensuring reliable local model handling.
|
||||
- **🔧 Web Search Configuration Bug**: Fixed issues where web search filters and settings weren't correctly applied.
|
||||
- **💾 User Settings Persistence Fix**: Ensured user-specific settings are correctly saved and applied across sessions.
|
||||
- **🔄 OpenID Username Retrieval Enhancement**: Usernames are now correctly picked up and assigned for OpenID Connect (OIDC) logins.
|
||||
|
||||
### Changed
|
||||
|
||||
- **🔗 Improved Direct Connections Integration**: Simplified the configuration process for setting up direct API connections, making it easier to integrate custom inference endpoints.
|
||||
|
||||
## [0.5.10] - 2025-02-05
|
||||
|
||||
### Fixed
|
||||
|
||||
- **⚙️ System Prompts Now Properly Templated via API**: Resolved an issue where system prompts were not being correctly processed when used through the API, ensuring template variables now function as expected.
|
||||
- **📝 '<thinking>' Tag Display Issue Fixed**: Fixed a bug where the 'thinking' tag was disrupting content rendering, ensuring clean and accurate text display.
|
||||
- **💻 Code Interpreter Stability with Custom Functions**: Addressed failures when using the Code Interpreter with certain custom functions like Anthropic, ensuring smoother execution and better compatibility.
|
||||
|
||||
## [0.5.9] - 2025-02-05
|
||||
|
||||
### Fixed
|
||||
|
||||
- **💡 "Think" Tag Display Issue**: Resolved a bug where the "Think" tag was not functioning correctly, ensuring proper visualization of the model's reasoning process before delivering responses.
|
||||
|
||||
## [0.5.8] - 2025-02-05
|
||||
|
||||
### Added
|
||||
|
||||
- **🖥️ Code Interpreter**: Models can now execute code in real time to refine their answers dynamically, running securely within a sandboxed browser environment using Pyodide. Perfect for calculations, data analysis, and AI-assisted coding tasks!
|
||||
- **💬 Redesigned Chat Input UI**: Enjoy a sleeker and more intuitive message input with improved feature selection, making it easier than ever to toggle tools, enable search, and interact with AI seamlessly.
|
||||
- **🛠️ Native Tool Calling Support (Experimental)**: Supported models can now call tools natively, reducing query latency and improving contextual responses. More enhancements coming soon!
|
||||
- **🔗 Exa Search Engine Integration**: A new search provider has been added, allowing users to retrieve up-to-date and relevant information without leaving the chat interface.
|
||||
- **🌍 Localized Dates & Times**: Date and time formats now match your system locale, ensuring a more natural, region-specific experience.
|
||||
- **📎 User Headers for External Embedding APIs**: API calls to external embedding services now include user-related headers.
|
||||
- **🌍 "Always On" Web Search Toggle**: A new option under Settings > Interface allows users to enable Web Search by default—transform Open WebUI into your go-to search engine, ensuring AI-powered results with every query.
|
||||
- **🚀 General Performance & Stability**: Significant improvements across the platform for a faster, more reliable experience.
|
||||
- **🖼️ UI/UX Enhancements**: Numerous design refinements improving readability, responsiveness, and accessibility.
|
||||
- **🌍 Improved Translations**: Chinese, Korean, French, Ukrainian and Serbian translations have been updated with refined terminologies for better clarity.
|
||||
|
||||
### Fixed
|
||||
|
||||
- **🔄 OAuth Name Field Fallback**: Resolves OAuth login failures by using the email field as a fallback when a name is missing.
|
||||
- **🔑 Google Drive Credentials Restriction**: Ensures only authenticated users can access Google Drive credentials for enhanced security.
|
||||
- **🌐 DuckDuckGo Search Rate Limit Handling**: Fixes issues where users would encounter 202 errors due to rate limits when using DuckDuckGo for web search.
|
||||
- **📁 File Upload Permission Indicator**: Users are now notified when they lack permission to upload files, improving clarity on system restrictions.
|
||||
- **🔧 Max Tokens Issue**: Fixes cases where 'max_tokens' were not applied correctly, ensuring proper model behavior.
|
||||
- **🔍 Validation for RAG Web Search URLs**: Filters out invalid or unsupported URLs when using web-based retrieval augmentation.
|
||||
- **🖋️ Title Generation Bug**: Fixes inconsistencies in title generation, ensuring proper chat organization.
|
||||
|
||||
### Removed
|
||||
|
||||
- **⚡ Deprecated Non-Web Worker Pyodide Execution**: Moves entirely to browser sandboxing for better performance and security.
|
||||
|
||||
## [0.5.7] - 2025-01-23
|
||||
|
||||
### Added
|
||||
|
||||
- **🌍 Enhanced Internationalization (i18n)**: Refined and expanded translations for greater global accessibility and a smoother experience for international users.
|
||||
|
||||
### Fixed
|
||||
|
||||
- **🔗 Connection Model ID Resolution**: Resolved an issue preventing model IDs from registering in connections.
|
||||
- **💡 Prefix ID for Ollama Connections**: Fixed a bug where prefix IDs in Ollama connections were non-functional.
|
||||
- **🔧 Ollama Model Enable/Disable Functionality**: Addressed the issue of enable/disable toggles not working for Ollama base models.
|
||||
- **🔒 RBAC Permissions for Tools and Models**: Corrected incorrect Role-Based Access Control (RBAC) permissions for tools and models, ensuring that users now only access features according to their assigned privileges, enhancing security and role clarity.
|
||||
|
||||
## [0.5.6] - 2025-01-22
|
||||
|
||||
### Added
|
||||
|
||||
- **🧠 Effortful Reasoning Control for OpenAI Models**: Introduced the reasoning_effort parameter in chat controls for supported OpenAI models, enabling users to fine-tune how much cognitive effort a model dedicates to its responses, offering greater customization for complex queries and reasoning tasks.
|
||||
|
||||
### Fixed
|
||||
|
||||
- **🔄 Chat Controls Loading UI Bug**: Resolved an issue where collapsible chat controls appeared as "loading," ensuring a smoother and more intuitive user experience for managing chat settings.
|
||||
|
||||
### Changed
|
||||
|
||||
- **🔧 Updated Ollama Model Creation**: Revamped the Ollama model creation method to align with their new JSON payload format, ensuring seamless compatibility and more efficient model setup workflows.
|
||||
|
||||
## [0.5.5] - 2025-01-22
|
||||
|
||||
### Added
|
||||
|
||||
- **🤔 Native 'Think' Tag Support**: Introduced the new 'think' tag support that visually displays how long the model is thinking, omitting the reasoning content itself until the next turn. Ideal for creating a more streamlined and focused interaction experience.
|
||||
- **🖼️ Toggle Image Generation On/Off**: In the chat input menu, you can now easily toggle image generation before initiating chats, providing greater control and flexibility to suit your needs.
|
||||
- **🔒 Chat Controls Permissions**: Admins can now disable chat controls access for users, offering tighter management and customization over user interactions.
|
||||
- **🔍 Web Search & Image Generation Permissions**: Easily disable web search and image generation for specific users, improving workflow governance and security for certain environments.
|
||||
- **🗂️ S3 and GCS Storage Provider Support**: Scaled deployments now benefit from expanded storage options with Amazon S3 and Google Cloud Storage seamlessly integrated as providers.
|
||||
- **🎨 Enhanced Model Management**: Reintroduced the ability to download and delete models directly in the admin models settings page to minimize user confusion and aid efficient model management.
|
||||
- **🔗 Improved Connection Handling**: Enhanced backend to smoothly handle multiple identical base URLs, allowing more flexible multi-instance configurations with fewer hiccups.
|
||||
- **✨ General UI/UX Refinements**: Numerous tweaks across the WebUI make navigation and usability even more user-friendly and intuitive.
|
||||
- **🌍 Translation Enhancements**: Various translation updates ensure smoother and more polished interactions for international users.
|
||||
|
||||
### Fixed
|
||||
|
||||
- **⚡ MPS Functionality for Mac Users**: Fixed MPS support, ensuring smooth performance and compatibility for Mac users leveraging MPS.
|
||||
- **📡 Ollama Connection Management**: Resolved the issue where deleting all Ollama connections prevented adding new ones.
|
||||
|
||||
### Changed
|
||||
|
||||
- **⚙️ General Stability Refac**: Backend refactoring delivers a more stable, robust platform.
|
||||
- **🖥️ Desktop App Preparations**: Ongoing work to support the upcoming Open WebUI desktop app. Follow our progress and updates here: https://github.com/open-webui/desktop
|
||||
|
||||
## [0.5.4] - 2025-01-05
|
||||
|
||||
### Added
|
||||
|
||||
|
||||
@@ -1,21 +1,27 @@
|
||||
MIT License
|
||||
Copyright (c) 2023-2025 Timothy Jaeryang Baek
|
||||
All rights reserved.
|
||||
|
||||
Copyright (c) 2023 Timothy Jaeryang Baek
|
||||
Redistribution and use in source and binary forms, with or without
|
||||
modification, are permitted provided that the following conditions are met:
|
||||
|
||||
Permission is hereby granted, free of charge, to any person obtaining a copy
|
||||
of this software and associated documentation files (the "Software"), to deal
|
||||
in the Software without restriction, including without limitation the rights
|
||||
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
|
||||
copies of the Software, and to permit persons to whom the Software is
|
||||
furnished to do so, subject to the following conditions:
|
||||
1. Redistributions of source code must retain the above copyright notice, this
|
||||
list of conditions and the following disclaimer.
|
||||
|
||||
The above copyright notice and this permission notice shall be included in all
|
||||
copies or substantial portions of the Software.
|
||||
2. Redistributions in binary form must reproduce the above copyright notice,
|
||||
this list of conditions and the following disclaimer in the documentation
|
||||
and/or other materials provided with the distribution.
|
||||
|
||||
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
|
||||
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
|
||||
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
|
||||
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
|
||||
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
|
||||
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
|
||||
SOFTWARE.
|
||||
3. Neither the name of the copyright holder nor the names of its
|
||||
contributors may be used to endorse or promote products derived from
|
||||
this software without specific prior written permission.
|
||||
|
||||
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
|
||||
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
|
||||
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
|
||||
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
|
||||
FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
|
||||
DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
|
||||
SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
|
||||
CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
|
||||
OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
|
||||
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
|
||||
@@ -174,7 +174,7 @@ docker run --rm --volume /var/run/docker.sock:/var/run/docker.sock containrrr/wa
|
||||
|
||||
In the last part of the command, replace `open-webui` with your container name if it is different.
|
||||
|
||||
Check our Migration Guide available in our [Open WebUI Documentation](https://docs.openwebui.com/tutorials/migration/).
|
||||
Check our Updating Guide available in our [Open WebUI Documentation](https://docs.openwebui.com/getting-started/updating).
|
||||
|
||||
### Using the Dev Branch 🌙
|
||||
|
||||
@@ -201,7 +201,7 @@ Discover upcoming features on our roadmap in the [Open WebUI Documentation](http
|
||||
|
||||
## License 📜
|
||||
|
||||
This project is licensed under the [MIT License](LICENSE) - see the [LICENSE](LICENSE) file for details. 📄
|
||||
This project is licensed under the [BSD-3-Clause License](LICENSE) - see the [LICENSE](LICENSE) file for details. 📄
|
||||
|
||||
## Support 💬
|
||||
|
||||
|
||||
@@ -5,12 +5,31 @@ from pathlib import Path
|
||||
|
||||
import typer
|
||||
import uvicorn
|
||||
from typing import Optional
|
||||
from typing_extensions import Annotated
|
||||
|
||||
app = typer.Typer()
|
||||
|
||||
KEY_FILE = Path.cwd() / ".webui_secret_key"
|
||||
|
||||
|
||||
def version_callback(value: bool):
|
||||
if value:
|
||||
from open_webui.env import VERSION
|
||||
|
||||
typer.echo(f"Open WebUI version: {VERSION}")
|
||||
raise typer.Exit()
|
||||
|
||||
|
||||
@app.command()
|
||||
def main(
|
||||
version: Annotated[
|
||||
Optional[bool], typer.Option("--version", callback=version_callback)
|
||||
] = None,
|
||||
):
|
||||
pass
|
||||
|
||||
|
||||
@app.command()
|
||||
def serve(
|
||||
host: str = "0.0.0.0",
|
||||
|
||||
+315
-47
@@ -9,22 +9,22 @@ from urllib.parse import urlparse
|
||||
|
||||
import chromadb
|
||||
import requests
|
||||
import yaml
|
||||
from open_webui.internal.db import Base, get_db
|
||||
from pydantic import BaseModel
|
||||
from sqlalchemy import JSON, Column, DateTime, Integer, func
|
||||
|
||||
from open_webui.env import (
|
||||
OPEN_WEBUI_DIR,
|
||||
DATA_DIR,
|
||||
DATABASE_URL,
|
||||
ENV,
|
||||
FRONTEND_BUILD_DIR,
|
||||
OFFLINE_MODE,
|
||||
OPEN_WEBUI_DIR,
|
||||
WEBUI_AUTH,
|
||||
WEBUI_FAVICON_URL,
|
||||
WEBUI_NAME,
|
||||
log,
|
||||
DATABASE_URL,
|
||||
OFFLINE_MODE,
|
||||
)
|
||||
from pydantic import BaseModel
|
||||
from sqlalchemy import JSON, Column, DateTime, Integer, func
|
||||
from open_webui.internal.db import Base, get_db
|
||||
|
||||
|
||||
class EndpointFilter(logging.Filter):
|
||||
@@ -362,6 +362,30 @@ MICROSOFT_REDIRECT_URI = PersistentConfig(
|
||||
os.environ.get("MICROSOFT_REDIRECT_URI", ""),
|
||||
)
|
||||
|
||||
GITHUB_CLIENT_ID = PersistentConfig(
|
||||
"GITHUB_CLIENT_ID",
|
||||
"oauth.github.client_id",
|
||||
os.environ.get("GITHUB_CLIENT_ID", ""),
|
||||
)
|
||||
|
||||
GITHUB_CLIENT_SECRET = PersistentConfig(
|
||||
"GITHUB_CLIENT_SECRET",
|
||||
"oauth.github.client_secret",
|
||||
os.environ.get("GITHUB_CLIENT_SECRET", ""),
|
||||
)
|
||||
|
||||
GITHUB_CLIENT_SCOPE = PersistentConfig(
|
||||
"GITHUB_CLIENT_SCOPE",
|
||||
"oauth.github.scope",
|
||||
os.environ.get("GITHUB_CLIENT_SCOPE", "user:email"),
|
||||
)
|
||||
|
||||
GITHUB_CLIENT_REDIRECT_URI = PersistentConfig(
|
||||
"GITHUB_CLIENT_REDIRECT_URI",
|
||||
"oauth.github.redirect_uri",
|
||||
os.environ.get("GITHUB_CLIENT_REDIRECT_URI", ""),
|
||||
)
|
||||
|
||||
OAUTH_CLIENT_ID = PersistentConfig(
|
||||
"OAUTH_CLIENT_ID",
|
||||
"oauth.oidc.client_id",
|
||||
@@ -468,12 +492,20 @@ OAUTH_ALLOWED_DOMAINS = PersistentConfig(
|
||||
def load_oauth_providers():
|
||||
OAUTH_PROVIDERS.clear()
|
||||
if GOOGLE_CLIENT_ID.value and GOOGLE_CLIENT_SECRET.value:
|
||||
|
||||
def google_oauth_register(client):
|
||||
client.register(
|
||||
name="google",
|
||||
client_id=GOOGLE_CLIENT_ID.value,
|
||||
client_secret=GOOGLE_CLIENT_SECRET.value,
|
||||
server_metadata_url="https://accounts.google.com/.well-known/openid-configuration",
|
||||
client_kwargs={"scope": GOOGLE_OAUTH_SCOPE.value},
|
||||
redirect_uri=GOOGLE_REDIRECT_URI.value,
|
||||
)
|
||||
|
||||
OAUTH_PROVIDERS["google"] = {
|
||||
"client_id": GOOGLE_CLIENT_ID.value,
|
||||
"client_secret": GOOGLE_CLIENT_SECRET.value,
|
||||
"server_metadata_url": "https://accounts.google.com/.well-known/openid-configuration",
|
||||
"scope": GOOGLE_OAUTH_SCOPE.value,
|
||||
"redirect_uri": GOOGLE_REDIRECT_URI.value,
|
||||
"register": google_oauth_register,
|
||||
}
|
||||
|
||||
if (
|
||||
@@ -481,12 +513,44 @@ def load_oauth_providers():
|
||||
and MICROSOFT_CLIENT_SECRET.value
|
||||
and MICROSOFT_CLIENT_TENANT_ID.value
|
||||
):
|
||||
|
||||
def microsoft_oauth_register(client):
|
||||
client.register(
|
||||
name="microsoft",
|
||||
client_id=MICROSOFT_CLIENT_ID.value,
|
||||
client_secret=MICROSOFT_CLIENT_SECRET.value,
|
||||
server_metadata_url=f"https://login.microsoftonline.com/{MICROSOFT_CLIENT_TENANT_ID.value}/v2.0/.well-known/openid-configuration",
|
||||
client_kwargs={
|
||||
"scope": MICROSOFT_OAUTH_SCOPE.value,
|
||||
},
|
||||
redirect_uri=MICROSOFT_REDIRECT_URI.value,
|
||||
)
|
||||
|
||||
OAUTH_PROVIDERS["microsoft"] = {
|
||||
"client_id": MICROSOFT_CLIENT_ID.value,
|
||||
"client_secret": MICROSOFT_CLIENT_SECRET.value,
|
||||
"server_metadata_url": f"https://login.microsoftonline.com/{MICROSOFT_CLIENT_TENANT_ID.value}/v2.0/.well-known/openid-configuration",
|
||||
"scope": MICROSOFT_OAUTH_SCOPE.value,
|
||||
"redirect_uri": MICROSOFT_REDIRECT_URI.value,
|
||||
"picture_url": "https://graph.microsoft.com/v1.0/me/photo/$value",
|
||||
"register": microsoft_oauth_register,
|
||||
}
|
||||
|
||||
if GITHUB_CLIENT_ID.value and GITHUB_CLIENT_SECRET.value:
|
||||
|
||||
def github_oauth_register(client):
|
||||
client.register(
|
||||
name="github",
|
||||
client_id=GITHUB_CLIENT_ID.value,
|
||||
client_secret=GITHUB_CLIENT_SECRET.value,
|
||||
access_token_url="https://github.com/login/oauth/access_token",
|
||||
authorize_url="https://github.com/login/oauth/authorize",
|
||||
api_base_url="https://api.github.com",
|
||||
userinfo_endpoint="https://api.github.com/user",
|
||||
client_kwargs={"scope": GITHUB_CLIENT_SCOPE.value},
|
||||
redirect_uri=GITHUB_CLIENT_REDIRECT_URI.value,
|
||||
)
|
||||
|
||||
OAUTH_PROVIDERS["github"] = {
|
||||
"redirect_uri": GITHUB_CLIENT_REDIRECT_URI.value,
|
||||
"register": github_oauth_register,
|
||||
"sub_claim": "id",
|
||||
}
|
||||
|
||||
if (
|
||||
@@ -494,13 +558,23 @@ def load_oauth_providers():
|
||||
and OAUTH_CLIENT_SECRET.value
|
||||
and OPENID_PROVIDER_URL.value
|
||||
):
|
||||
|
||||
def oidc_oauth_register(client):
|
||||
client.register(
|
||||
name="oidc",
|
||||
client_id=OAUTH_CLIENT_ID.value,
|
||||
client_secret=OAUTH_CLIENT_SECRET.value,
|
||||
server_metadata_url=OPENID_PROVIDER_URL.value,
|
||||
client_kwargs={
|
||||
"scope": OAUTH_SCOPES.value,
|
||||
},
|
||||
redirect_uri=OPENID_REDIRECT_URI.value,
|
||||
)
|
||||
|
||||
OAUTH_PROVIDERS["oidc"] = {
|
||||
"client_id": OAUTH_CLIENT_ID.value,
|
||||
"client_secret": OAUTH_CLIENT_SECRET.value,
|
||||
"server_metadata_url": OPENID_PROVIDER_URL.value,
|
||||
"scope": OAUTH_SCOPES.value,
|
||||
"name": OAUTH_PROVIDER_NAME.value,
|
||||
"redirect_uri": OPENID_REDIRECT_URI.value,
|
||||
"register": oidc_oauth_register,
|
||||
}
|
||||
|
||||
|
||||
@@ -580,14 +654,20 @@ if CUSTOM_NAME:
|
||||
# STORAGE PROVIDER
|
||||
####################################
|
||||
|
||||
STORAGE_PROVIDER = os.environ.get("STORAGE_PROVIDER", "") # defaults to local, s3
|
||||
STORAGE_PROVIDER = os.environ.get("STORAGE_PROVIDER", "local") # defaults to local, s3
|
||||
|
||||
S3_ACCESS_KEY_ID = os.environ.get("S3_ACCESS_KEY_ID", None)
|
||||
S3_SECRET_ACCESS_KEY = os.environ.get("S3_SECRET_ACCESS_KEY", None)
|
||||
S3_REGION_NAME = os.environ.get("S3_REGION_NAME", None)
|
||||
S3_BUCKET_NAME = os.environ.get("S3_BUCKET_NAME", None)
|
||||
S3_KEY_PREFIX = os.environ.get("S3_KEY_PREFIX", None)
|
||||
S3_ENDPOINT_URL = os.environ.get("S3_ENDPOINT_URL", None)
|
||||
|
||||
GCS_BUCKET_NAME = os.environ.get("GCS_BUCKET_NAME", None)
|
||||
GOOGLE_APPLICATION_CREDENTIALS_JSON = os.environ.get(
|
||||
"GOOGLE_APPLICATION_CREDENTIALS_JSON", None
|
||||
)
|
||||
|
||||
####################################
|
||||
# File Upload DIR
|
||||
####################################
|
||||
@@ -603,6 +683,17 @@ Path(UPLOAD_DIR).mkdir(parents=True, exist_ok=True)
|
||||
CACHE_DIR = f"{DATA_DIR}/cache"
|
||||
Path(CACHE_DIR).mkdir(parents=True, exist_ok=True)
|
||||
|
||||
|
||||
####################################
|
||||
# DIRECT CONNECTIONS
|
||||
####################################
|
||||
|
||||
ENABLE_DIRECT_CONNECTIONS = PersistentConfig(
|
||||
"ENABLE_DIRECT_CONNECTIONS",
|
||||
"direct.enable",
|
||||
os.environ.get("ENABLE_DIRECT_CONNECTIONS", "True").lower() == "true",
|
||||
)
|
||||
|
||||
####################################
|
||||
# OLLAMA_BASE_URL
|
||||
####################################
|
||||
@@ -819,6 +910,10 @@ USER_PERMISSIONS_WORKSPACE_TOOLS_ACCESS = (
|
||||
os.environ.get("USER_PERMISSIONS_WORKSPACE_TOOLS_ACCESS", "False").lower() == "true"
|
||||
)
|
||||
|
||||
USER_PERMISSIONS_CHAT_CONTROLS = (
|
||||
os.environ.get("USER_PERMISSIONS_CHAT_CONTROLS", "True").lower() == "true"
|
||||
)
|
||||
|
||||
USER_PERMISSIONS_CHAT_FILE_UPLOAD = (
|
||||
os.environ.get("USER_PERMISSIONS_CHAT_FILE_UPLOAD", "True").lower() == "true"
|
||||
)
|
||||
@@ -835,23 +930,46 @@ USER_PERMISSIONS_CHAT_TEMPORARY = (
|
||||
os.environ.get("USER_PERMISSIONS_CHAT_TEMPORARY", "True").lower() == "true"
|
||||
)
|
||||
|
||||
USER_PERMISSIONS_FEATURES_WEB_SEARCH = (
|
||||
os.environ.get("USER_PERMISSIONS_FEATURES_WEB_SEARCH", "True").lower() == "true"
|
||||
)
|
||||
|
||||
USER_PERMISSIONS_FEATURES_IMAGE_GENERATION = (
|
||||
os.environ.get("USER_PERMISSIONS_FEATURES_IMAGE_GENERATION", "True").lower()
|
||||
== "true"
|
||||
)
|
||||
|
||||
USER_PERMISSIONS_FEATURES_CODE_INTERPRETER = (
|
||||
os.environ.get("USER_PERMISSIONS_FEATURES_CODE_INTERPRETER", "True").lower()
|
||||
== "true"
|
||||
)
|
||||
|
||||
|
||||
DEFAULT_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": {
|
||||
"controls": USER_PERMISSIONS_CHAT_CONTROLS,
|
||||
"file_upload": USER_PERMISSIONS_CHAT_FILE_UPLOAD,
|
||||
"delete": USER_PERMISSIONS_CHAT_DELETE,
|
||||
"edit": USER_PERMISSIONS_CHAT_EDIT,
|
||||
"temporary": USER_PERMISSIONS_CHAT_TEMPORARY,
|
||||
},
|
||||
"features": {
|
||||
"web_search": USER_PERMISSIONS_FEATURES_WEB_SEARCH,
|
||||
"image_generation": USER_PERMISSIONS_FEATURES_IMAGE_GENERATION,
|
||||
"code_interpreter": USER_PERMISSIONS_FEATURES_CODE_INTERPRETER,
|
||||
},
|
||||
}
|
||||
|
||||
USER_PERMISSIONS = PersistentConfig(
|
||||
"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": {
|
||||
"file_upload": USER_PERMISSIONS_CHAT_FILE_UPLOAD,
|
||||
"delete": USER_PERMISSIONS_CHAT_DELETE,
|
||||
"edit": USER_PERMISSIONS_CHAT_EDIT,
|
||||
"temporary": USER_PERMISSIONS_CHAT_TEMPORARY,
|
||||
},
|
||||
},
|
||||
DEFAULT_USER_PERMISSIONS,
|
||||
)
|
||||
|
||||
ENABLE_CHANNELS = PersistentConfig(
|
||||
@@ -995,21 +1113,27 @@ TITLE_GENERATION_PROMPT_TEMPLATE = PersistentConfig(
|
||||
os.environ.get("TITLE_GENERATION_PROMPT_TEMPLATE", ""),
|
||||
)
|
||||
|
||||
DEFAULT_TITLE_GENERATION_PROMPT_TEMPLATE = """Create a concise, 3-5 word title with an emoji as a title for the chat history, in the given language. Suitable Emojis for the summary can be used to enhance understanding but avoid quotation marks or special formatting. RESPOND ONLY WITH THE TITLE TEXT.
|
||||
|
||||
Examples of titles:
|
||||
📉 Stock Market Trends
|
||||
🍪 Perfect Chocolate Chip Recipe
|
||||
Evolution of Music Streaming
|
||||
Remote Work Productivity Tips
|
||||
Artificial Intelligence in Healthcare
|
||||
🎮 Video Game Development Insights
|
||||
|
||||
DEFAULT_TITLE_GENERATION_PROMPT_TEMPLATE = """### Task:
|
||||
Generate a concise, 3-5 word title with an emoji summarizing the chat history.
|
||||
### Guidelines:
|
||||
- The title should clearly represent the main theme or subject of the conversation.
|
||||
- Use emojis that enhance understanding of the topic, but avoid quotation marks or special formatting.
|
||||
- Write the title in the chat's primary language; default to English if multilingual.
|
||||
- Prioritize accuracy over excessive creativity; keep it clear and simple.
|
||||
### Output:
|
||||
JSON format: { "title": "your concise title here" }
|
||||
### Examples:
|
||||
- { "title": "📉 Stock Market Trends" },
|
||||
- { "title": "🍪 Perfect Chocolate Chip Recipe" },
|
||||
- { "title": "Evolution of Music Streaming" },
|
||||
- { "title": "Remote Work Productivity Tips" },
|
||||
- { "title": "Artificial Intelligence in Healthcare" },
|
||||
- { "title": "🎮 Video Game Development Insights" }
|
||||
### Chat History:
|
||||
<chat_history>
|
||||
{{MESSAGES:END:2}}
|
||||
</chat_history>"""
|
||||
|
||||
|
||||
TAGS_GENERATION_PROMPT_TEMPLATE = PersistentConfig(
|
||||
"TAGS_GENERATION_PROMPT_TEMPLATE",
|
||||
"task.tags.prompt_template",
|
||||
@@ -1034,6 +1158,32 @@ JSON format: { "tags": ["tag1", "tag2", "tag3"] }
|
||||
{{MESSAGES:END:6}}
|
||||
</chat_history>"""
|
||||
|
||||
IMAGE_PROMPT_GENERATION_PROMPT_TEMPLATE = PersistentConfig(
|
||||
"IMAGE_PROMPT_GENERATION_PROMPT_TEMPLATE",
|
||||
"task.image.prompt_template",
|
||||
os.environ.get("IMAGE_PROMPT_GENERATION_PROMPT_TEMPLATE", ""),
|
||||
)
|
||||
|
||||
DEFAULT_IMAGE_PROMPT_GENERATION_PROMPT_TEMPLATE = """### Task:
|
||||
Generate a detailed prompt for am image generation task based on the given language and context. Describe the image as if you were explaining it to someone who cannot see it. Include relevant details, colors, shapes, and any other important elements.
|
||||
|
||||
### Guidelines:
|
||||
- Be descriptive and detailed, focusing on the most important aspects of the image.
|
||||
- Avoid making assumptions or adding information not present in the image.
|
||||
- Use the chat's primary language; default to English if multilingual.
|
||||
- If the image is too complex, focus on the most prominent elements.
|
||||
|
||||
### Output:
|
||||
Strictly return in JSON format:
|
||||
{
|
||||
"prompt": "Your detailed description here."
|
||||
}
|
||||
|
||||
### Chat History:
|
||||
<chat_history>
|
||||
{{MESSAGES:END:6}}
|
||||
</chat_history>"""
|
||||
|
||||
ENABLE_TAGS_GENERATION = PersistentConfig(
|
||||
"ENABLE_TAGS_GENERATION",
|
||||
"task.tags.enable",
|
||||
@@ -1152,7 +1302,28 @@ TOOLS_FUNCTION_CALLING_PROMPT_TEMPLATE = PersistentConfig(
|
||||
)
|
||||
|
||||
|
||||
DEFAULT_TOOLS_FUNCTION_CALLING_PROMPT_TEMPLATE = """Available Tools: {{TOOLS}}\nReturn an empty string if no tools match the query. If a function tool matches, construct and return a JSON object in the format {\"name\": \"functionName\", \"parameters\": {\"requiredFunctionParamKey\": \"requiredFunctionParamValue\"}} using the appropriate tool and its parameters. Only return the object and limit the response to the JSON object without additional text."""
|
||||
DEFAULT_TOOLS_FUNCTION_CALLING_PROMPT_TEMPLATE = """Available Tools: {{TOOLS}}
|
||||
|
||||
Your task is to choose and return the correct tool(s) from the list of available tools based on the query. Follow these guidelines:
|
||||
|
||||
- Return only the JSON object, without any additional text or explanation.
|
||||
|
||||
- If no tools match the query, return an empty array:
|
||||
{
|
||||
"tool_calls": []
|
||||
}
|
||||
|
||||
- If one or more tools match the query, construct a JSON response containing a "tool_calls" array with objects that include:
|
||||
- "name": The tool's name.
|
||||
- "parameters": A dictionary of required parameters and their corresponding values.
|
||||
|
||||
The format for the JSON response is strictly:
|
||||
{
|
||||
"tool_calls": [
|
||||
{"name": "toolName1", "parameters": {"key1": "value1"}},
|
||||
{"name": "toolName2", "parameters": {"key2": "value2"}}
|
||||
]
|
||||
}"""
|
||||
|
||||
|
||||
DEFAULT_EMOJI_GENERATION_PROMPT_TEMPLATE = """Your task is to reflect the speaker's likely facial expression through a fitting emoji. Interpret emotions from the message and reflect their facial expression using fitting, diverse emojis (e.g., 😊, 😢, 😡, 😱).
|
||||
@@ -1165,6 +1336,71 @@ Your task is to synthesize these responses into a single, high-quality response.
|
||||
|
||||
Responses from models: {{responses}}"""
|
||||
|
||||
|
||||
####################################
|
||||
# Code Interpreter
|
||||
####################################
|
||||
|
||||
ENABLE_CODE_INTERPRETER = PersistentConfig(
|
||||
"ENABLE_CODE_INTERPRETER",
|
||||
"code_interpreter.enable",
|
||||
os.environ.get("ENABLE_CODE_INTERPRETER", "True").lower() == "true",
|
||||
)
|
||||
|
||||
CODE_INTERPRETER_ENGINE = PersistentConfig(
|
||||
"CODE_INTERPRETER_ENGINE",
|
||||
"code_interpreter.engine",
|
||||
os.environ.get("CODE_INTERPRETER_ENGINE", "pyodide"),
|
||||
)
|
||||
|
||||
CODE_INTERPRETER_PROMPT_TEMPLATE = PersistentConfig(
|
||||
"CODE_INTERPRETER_PROMPT_TEMPLATE",
|
||||
"code_interpreter.prompt_template",
|
||||
os.environ.get("CODE_INTERPRETER_PROMPT_TEMPLATE", ""),
|
||||
)
|
||||
|
||||
CODE_INTERPRETER_JUPYTER_URL = PersistentConfig(
|
||||
"CODE_INTERPRETER_JUPYTER_URL",
|
||||
"code_interpreter.jupyter.url",
|
||||
os.environ.get("CODE_INTERPRETER_JUPYTER_URL", ""),
|
||||
)
|
||||
|
||||
CODE_INTERPRETER_JUPYTER_AUTH = PersistentConfig(
|
||||
"CODE_INTERPRETER_JUPYTER_AUTH",
|
||||
"code_interpreter.jupyter.auth",
|
||||
os.environ.get("CODE_INTERPRETER_JUPYTER_AUTH", ""),
|
||||
)
|
||||
|
||||
CODE_INTERPRETER_JUPYTER_AUTH_TOKEN = PersistentConfig(
|
||||
"CODE_INTERPRETER_JUPYTER_AUTH_TOKEN",
|
||||
"code_interpreter.jupyter.auth_token",
|
||||
os.environ.get("CODE_INTERPRETER_JUPYTER_AUTH_TOKEN", ""),
|
||||
)
|
||||
|
||||
|
||||
CODE_INTERPRETER_JUPYTER_AUTH_PASSWORD = PersistentConfig(
|
||||
"CODE_INTERPRETER_JUPYTER_AUTH_PASSWORD",
|
||||
"code_interpreter.jupyter.auth_password",
|
||||
os.environ.get("CODE_INTERPRETER_JUPYTER_AUTH_PASSWORD", ""),
|
||||
)
|
||||
|
||||
|
||||
DEFAULT_CODE_INTERPRETER_PROMPT = """
|
||||
#### Tools Available
|
||||
|
||||
1. **Code Interpreter**: `<code_interpreter type="code" lang="python"></code_interpreter>`
|
||||
- You have access to a Python shell that runs directly in the user's browser, enabling fast execution of code for analysis, calculations, or problem-solving. Use it in this response.
|
||||
- The Python code you write can incorporate a wide array of libraries, handle data manipulation or visualization, perform API calls for web-related tasks, or tackle virtually any computational challenge. Use this flexibility to **think outside the box, craft elegant solutions, and harness Python's full potential**.
|
||||
- To use it, **you must enclose your code within `<code_interpreter type="code" lang="python">` XML tags** and stop right away. If you don't, the code won't execute. Do NOT use triple backticks.
|
||||
- When coding, **always aim to print meaningful outputs** (e.g., results, tables, summaries, or visuals) to better interpret and verify the findings. Avoid relying on implicit outputs; prioritize explicit and clear print statements so the results are effectively communicated to the user.
|
||||
- After obtaining the printed output, **always provide a concise analysis, interpretation, or next steps to help the user understand the findings or refine the outcome further.**
|
||||
- If the results are unclear, unexpected, or require validation, refine the code and execute it again as needed. Always aim to deliver meaningful insights from the results, iterating if necessary.
|
||||
- **If a link to an image, audio, or any file is provided in markdown format in the output, ALWAYS regurgitate word for word, explicitly display it as part of the response to ensure the user can access it easily, do NOT change the link.**
|
||||
- All responses should be communicated in the chat's primary language, ensuring seamless understanding. If the chat is multilingual, default to English for clarity.
|
||||
|
||||
Ensure that the tools are effectively utilized to achieve the highest-quality analysis for the user."""
|
||||
|
||||
|
||||
####################################
|
||||
# Vector Database
|
||||
####################################
|
||||
@@ -1193,6 +1429,8 @@ CHROMA_HTTP_SSL = os.environ.get("CHROMA_HTTP_SSL", "false").lower() == "true"
|
||||
# Milvus
|
||||
|
||||
MILVUS_URI = os.environ.get("MILVUS_URI", f"{DATA_DIR}/vector_db/milvus.db")
|
||||
MILVUS_DB = os.environ.get("MILVUS_DB", "default")
|
||||
MILVUS_TOKEN = os.environ.get("MILVUS_TOKEN", None)
|
||||
|
||||
# Qdrant
|
||||
QDRANT_URI = os.environ.get("QDRANT_URI", None)
|
||||
@@ -1466,7 +1704,7 @@ RAG_WEB_SEARCH_ENGINE = PersistentConfig(
|
||||
# This ensures the highest level of safety and reliability of the information sources.
|
||||
RAG_WEB_SEARCH_DOMAIN_FILTER_LIST = PersistentConfig(
|
||||
"RAG_WEB_SEARCH_DOMAIN_FILTER_LIST",
|
||||
"rag.rag.web.search.domain.filter_list",
|
||||
"rag.web.search.domain.filter_list",
|
||||
[
|
||||
# "wikipedia.com",
|
||||
# "wikimedia.org",
|
||||
@@ -1511,6 +1749,12 @@ MOJEEK_SEARCH_API_KEY = PersistentConfig(
|
||||
os.getenv("MOJEEK_SEARCH_API_KEY", ""),
|
||||
)
|
||||
|
||||
BOCHA_SEARCH_API_KEY = PersistentConfig(
|
||||
"BOCHA_SEARCH_API_KEY",
|
||||
"rag.web.search.bocha_search_api_key",
|
||||
os.getenv("BOCHA_SEARCH_API_KEY", ""),
|
||||
)
|
||||
|
||||
SERPSTACK_API_KEY = PersistentConfig(
|
||||
"SERPSTACK_API_KEY",
|
||||
"rag.web.search.serpstack_api_key",
|
||||
@@ -1573,6 +1817,11 @@ BING_SEARCH_V7_SUBSCRIPTION_KEY = PersistentConfig(
|
||||
os.environ.get("BING_SEARCH_V7_SUBSCRIPTION_KEY", ""),
|
||||
)
|
||||
|
||||
EXA_API_KEY = PersistentConfig(
|
||||
"EXA_API_KEY",
|
||||
"rag.web.search.exa_api_key",
|
||||
os.getenv("EXA_API_KEY", ""),
|
||||
)
|
||||
|
||||
RAG_WEB_SEARCH_RESULT_COUNT = PersistentConfig(
|
||||
"RAG_WEB_SEARCH_RESULT_COUNT",
|
||||
@@ -1602,6 +1851,13 @@ ENABLE_IMAGE_GENERATION = PersistentConfig(
|
||||
"image_generation.enable",
|
||||
os.environ.get("ENABLE_IMAGE_GENERATION", "").lower() == "true",
|
||||
)
|
||||
|
||||
ENABLE_IMAGE_PROMPT_GENERATION = PersistentConfig(
|
||||
"ENABLE_IMAGE_PROMPT_GENERATION",
|
||||
"image_generation.prompt.enable",
|
||||
os.environ.get("ENABLE_IMAGE_PROMPT_GENERATION", "true").lower() == "true",
|
||||
)
|
||||
|
||||
AUTOMATIC1111_BASE_URL = PersistentConfig(
|
||||
"AUTOMATIC1111_BASE_URL",
|
||||
"image_generation.automatic1111.base_url",
|
||||
@@ -1821,6 +2077,12 @@ WHISPER_MODEL_AUTO_UPDATE = (
|
||||
and os.environ.get("WHISPER_MODEL_AUTO_UPDATE", "").lower() == "true"
|
||||
)
|
||||
|
||||
# Add Deepgram configuration
|
||||
DEEPGRAM_API_KEY = PersistentConfig(
|
||||
"DEEPGRAM_API_KEY",
|
||||
"audio.stt.deepgram.api_key",
|
||||
os.getenv("DEEPGRAM_API_KEY", ""),
|
||||
)
|
||||
|
||||
AUDIO_STT_OPENAI_API_BASE_URL = PersistentConfig(
|
||||
"AUDIO_STT_OPENAI_API_BASE_URL",
|
||||
@@ -1931,6 +2193,12 @@ LDAP_SERVER_PORT = PersistentConfig(
|
||||
int(os.environ.get("LDAP_SERVER_PORT", "389")),
|
||||
)
|
||||
|
||||
LDAP_ATTRIBUTE_FOR_MAIL = PersistentConfig(
|
||||
"LDAP_ATTRIBUTE_FOR_MAIL",
|
||||
"ldap.server.attribute_for_mail",
|
||||
os.environ.get("LDAP_ATTRIBUTE_FOR_MAIL", "mail"),
|
||||
)
|
||||
|
||||
LDAP_ATTRIBUTE_FOR_USERNAME = PersistentConfig(
|
||||
"LDAP_ATTRIBUTE_FOR_USERNAME",
|
||||
"ldap.server.attribute_for_username",
|
||||
|
||||
@@ -57,7 +57,7 @@ class ERROR_MESSAGES(str, Enum):
|
||||
)
|
||||
|
||||
FILE_NOT_SENT = "FILE_NOT_SENT"
|
||||
FILE_NOT_SUPPORTED = "Oops! It seems like the file format you're trying to upload is not supported. Please upload a file with a supported format (e.g., JPG, PNG, PDF, TXT) and try again."
|
||||
FILE_NOT_SUPPORTED = "Oops! It seems like the file format you're trying to upload is not supported. Please upload a file with a supported format and try again."
|
||||
|
||||
NOT_FOUND = "We could not find what you're looking for :/"
|
||||
USER_NOT_FOUND = "We could not find what you're looking for :/"
|
||||
@@ -113,6 +113,7 @@ class TASKS(str, Enum):
|
||||
TAGS_GENERATION = "tags_generation"
|
||||
EMOJI_GENERATION = "emoji_generation"
|
||||
QUERY_GENERATION = "query_generation"
|
||||
IMAGE_PROMPT_GENERATION = "image_prompt_generation"
|
||||
AUTOCOMPLETE_GENERATION = "autocomplete_generation"
|
||||
FUNCTION_CALLING = "function_calling"
|
||||
MOA_RESPONSE_GENERATION = "moa_response_generation"
|
||||
|
||||
@@ -54,6 +54,8 @@ else:
|
||||
DEVICE_TYPE = "cpu"
|
||||
|
||||
try:
|
||||
import torch
|
||||
|
||||
if torch.backends.mps.is_available() and torch.backends.mps.is_built():
|
||||
DEVICE_TYPE = "mps"
|
||||
except Exception:
|
||||
@@ -90,6 +92,7 @@ log_sources = [
|
||||
"RAG",
|
||||
"WEBHOOK",
|
||||
"SOCKET",
|
||||
"OAUTH",
|
||||
]
|
||||
|
||||
SRC_LOG_LEVELS = {}
|
||||
@@ -272,6 +275,8 @@ DATABASE_URL = os.environ.get("DATABASE_URL", f"sqlite:///{DATA_DIR}/webui.db")
|
||||
if "postgres://" in DATABASE_URL:
|
||||
DATABASE_URL = DATABASE_URL.replace("postgres://", "postgresql://")
|
||||
|
||||
DATABASE_SCHEMA = os.environ.get("DATABASE_SCHEMA", None)
|
||||
|
||||
DATABASE_POOL_SIZE = os.environ.get("DATABASE_POOL_SIZE", 0)
|
||||
|
||||
if DATABASE_POOL_SIZE == "":
|
||||
@@ -352,14 +357,22 @@ WEBUI_SECRET_KEY = os.environ.get(
|
||||
), # DEPRECATED: remove at next major version
|
||||
)
|
||||
|
||||
WEBUI_SESSION_COOKIE_SAME_SITE = os.environ.get(
|
||||
"WEBUI_SESSION_COOKIE_SAME_SITE",
|
||||
os.environ.get("WEBUI_SESSION_COOKIE_SAME_SITE", "lax"),
|
||||
WEBUI_SESSION_COOKIE_SAME_SITE = os.environ.get("WEBUI_SESSION_COOKIE_SAME_SITE", "lax")
|
||||
|
||||
WEBUI_SESSION_COOKIE_SECURE = (
|
||||
os.environ.get("WEBUI_SESSION_COOKIE_SECURE", "false").lower() == "true"
|
||||
)
|
||||
|
||||
WEBUI_SESSION_COOKIE_SECURE = os.environ.get(
|
||||
"WEBUI_SESSION_COOKIE_SECURE",
|
||||
os.environ.get("WEBUI_SESSION_COOKIE_SECURE", "false").lower() == "true",
|
||||
WEBUI_AUTH_COOKIE_SAME_SITE = os.environ.get(
|
||||
"WEBUI_AUTH_COOKIE_SAME_SITE", WEBUI_SESSION_COOKIE_SAME_SITE
|
||||
)
|
||||
|
||||
WEBUI_AUTH_COOKIE_SECURE = (
|
||||
os.environ.get(
|
||||
"WEBUI_AUTH_COOKIE_SECURE",
|
||||
os.environ.get("WEBUI_SESSION_COOKIE_SECURE", "false"),
|
||||
).lower()
|
||||
== "true"
|
||||
)
|
||||
|
||||
if WEBUI_AUTH and WEBUI_SECRET_KEY == "":
|
||||
|
||||
@@ -250,7 +250,7 @@ async def generate_function_chat_completion(
|
||||
|
||||
params = model_info.params.model_dump()
|
||||
form_data = apply_model_params_to_body_openai(params, form_data)
|
||||
form_data = apply_model_system_prompt_to_body(params, form_data, user)
|
||||
form_data = apply_model_system_prompt_to_body(params, form_data, metadata, user)
|
||||
|
||||
pipe_id = get_pipe_id(form_data)
|
||||
function_module = get_function_module_by_id(request, pipe_id)
|
||||
|
||||
@@ -7,6 +7,7 @@ from open_webui.internal.wrappers import register_connection
|
||||
from open_webui.env import (
|
||||
OPEN_WEBUI_DIR,
|
||||
DATABASE_URL,
|
||||
DATABASE_SCHEMA,
|
||||
SRC_LOG_LEVELS,
|
||||
DATABASE_POOL_MAX_OVERFLOW,
|
||||
DATABASE_POOL_RECYCLE,
|
||||
@@ -14,7 +15,7 @@ from open_webui.env import (
|
||||
DATABASE_POOL_TIMEOUT,
|
||||
)
|
||||
from peewee_migrate import Router
|
||||
from sqlalchemy import Dialect, create_engine, types
|
||||
from sqlalchemy import Dialect, create_engine, MetaData, types
|
||||
from sqlalchemy.ext.declarative import declarative_base
|
||||
from sqlalchemy.orm import scoped_session, sessionmaker
|
||||
from sqlalchemy.pool import QueuePool, NullPool
|
||||
@@ -99,7 +100,8 @@ else:
|
||||
SessionLocal = sessionmaker(
|
||||
autocommit=False, autoflush=False, bind=engine, expire_on_commit=False
|
||||
)
|
||||
Base = declarative_base()
|
||||
metadata_obj = MetaData(schema=DATABASE_SCHEMA)
|
||||
Base = declarative_base(metadata=metadata_obj)
|
||||
Session = scoped_session(SessionLocal)
|
||||
|
||||
|
||||
|
||||
+119
-19
@@ -97,6 +97,16 @@ from open_webui.config import (
|
||||
OPENAI_API_BASE_URLS,
|
||||
OPENAI_API_KEYS,
|
||||
OPENAI_API_CONFIGS,
|
||||
# Direct Connections
|
||||
ENABLE_DIRECT_CONNECTIONS,
|
||||
# Code Interpreter
|
||||
ENABLE_CODE_INTERPRETER,
|
||||
CODE_INTERPRETER_ENGINE,
|
||||
CODE_INTERPRETER_PROMPT_TEMPLATE,
|
||||
CODE_INTERPRETER_JUPYTER_URL,
|
||||
CODE_INTERPRETER_JUPYTER_AUTH,
|
||||
CODE_INTERPRETER_JUPYTER_AUTH_TOKEN,
|
||||
CODE_INTERPRETER_JUPYTER_AUTH_PASSWORD,
|
||||
# Image
|
||||
AUTOMATIC1111_API_AUTH,
|
||||
AUTOMATIC1111_BASE_URL,
|
||||
@@ -108,6 +118,7 @@ from open_webui.config import (
|
||||
COMFYUI_WORKFLOW,
|
||||
COMFYUI_WORKFLOW_NODES,
|
||||
ENABLE_IMAGE_GENERATION,
|
||||
ENABLE_IMAGE_PROMPT_GENERATION,
|
||||
IMAGE_GENERATION_ENGINE,
|
||||
IMAGE_GENERATION_MODEL,
|
||||
IMAGE_SIZE,
|
||||
@@ -129,6 +140,7 @@ from open_webui.config import (
|
||||
AUDIO_TTS_AZURE_SPEECH_REGION,
|
||||
AUDIO_TTS_AZURE_SPEECH_OUTPUT_FORMAT,
|
||||
WHISPER_MODEL,
|
||||
DEEPGRAM_API_KEY,
|
||||
WHISPER_MODEL_AUTO_UPDATE,
|
||||
WHISPER_MODEL_DIR,
|
||||
# Retrieval
|
||||
@@ -176,8 +188,10 @@ from open_webui.config import (
|
||||
BING_SEARCH_V7_ENDPOINT,
|
||||
BING_SEARCH_V7_SUBSCRIPTION_KEY,
|
||||
BRAVE_SEARCH_API_KEY,
|
||||
EXA_API_KEY,
|
||||
KAGI_SEARCH_API_KEY,
|
||||
MOJEEK_SEARCH_API_KEY,
|
||||
BOCHA_SEARCH_API_KEY,
|
||||
GOOGLE_PSE_API_KEY,
|
||||
GOOGLE_PSE_ENGINE_ID,
|
||||
GOOGLE_DRIVE_CLIENT_ID,
|
||||
@@ -225,6 +239,7 @@ from open_webui.config import (
|
||||
LDAP_SERVER_LABEL,
|
||||
LDAP_SERVER_HOST,
|
||||
LDAP_SERVER_PORT,
|
||||
LDAP_ATTRIBUTE_FOR_MAIL,
|
||||
LDAP_ATTRIBUTE_FOR_USERNAME,
|
||||
LDAP_SEARCH_FILTERS,
|
||||
LDAP_SEARCH_BASE,
|
||||
@@ -254,6 +269,7 @@ from open_webui.config import (
|
||||
ENABLE_AUTOCOMPLETE_GENERATION,
|
||||
TITLE_GENERATION_PROMPT_TEMPLATE,
|
||||
TAGS_GENERATION_PROMPT_TEMPLATE,
|
||||
IMAGE_PROMPT_GENERATION_PROMPT_TEMPLATE,
|
||||
TOOLS_FUNCTION_CALLING_PROMPT_TEMPLATE,
|
||||
QUERY_GENERATION_PROMPT_TEMPLATE,
|
||||
AUTOCOMPLETE_GENERATION_PROMPT_TEMPLATE,
|
||||
@@ -318,7 +334,11 @@ class SPAStaticFiles(StaticFiles):
|
||||
return await super().get_response(path, scope)
|
||||
except (HTTPException, StarletteHTTPException) as ex:
|
||||
if ex.status_code == 404:
|
||||
return await super().get_response("index.html", scope)
|
||||
if path.endswith(".js"):
|
||||
# Return 404 for javascript files
|
||||
raise ex
|
||||
else:
|
||||
return await super().get_response("index.html", scope)
|
||||
else:
|
||||
raise ex
|
||||
|
||||
@@ -385,6 +405,14 @@ app.state.config.OPENAI_API_CONFIGS = OPENAI_API_CONFIGS
|
||||
|
||||
app.state.OPENAI_MODELS = {}
|
||||
|
||||
########################################
|
||||
#
|
||||
# DIRECT CONNECTIONS
|
||||
#
|
||||
########################################
|
||||
|
||||
app.state.config.ENABLE_DIRECT_CONNECTIONS = ENABLE_DIRECT_CONNECTIONS
|
||||
|
||||
########################################
|
||||
#
|
||||
# WEBUI
|
||||
@@ -437,6 +465,7 @@ app.state.config.ENABLE_LDAP = ENABLE_LDAP
|
||||
app.state.config.LDAP_SERVER_LABEL = LDAP_SERVER_LABEL
|
||||
app.state.config.LDAP_SERVER_HOST = LDAP_SERVER_HOST
|
||||
app.state.config.LDAP_SERVER_PORT = LDAP_SERVER_PORT
|
||||
app.state.config.LDAP_ATTRIBUTE_FOR_MAIL = LDAP_ATTRIBUTE_FOR_MAIL
|
||||
app.state.config.LDAP_ATTRIBUTE_FOR_USERNAME = LDAP_ATTRIBUTE_FOR_USERNAME
|
||||
app.state.config.LDAP_APP_DN = LDAP_APP_DN
|
||||
app.state.config.LDAP_APP_PASSWORD = LDAP_APP_PASSWORD
|
||||
@@ -509,6 +538,7 @@ app.state.config.GOOGLE_PSE_ENGINE_ID = GOOGLE_PSE_ENGINE_ID
|
||||
app.state.config.BRAVE_SEARCH_API_KEY = BRAVE_SEARCH_API_KEY
|
||||
app.state.config.KAGI_SEARCH_API_KEY = KAGI_SEARCH_API_KEY
|
||||
app.state.config.MOJEEK_SEARCH_API_KEY = MOJEEK_SEARCH_API_KEY
|
||||
app.state.config.BOCHA_SEARCH_API_KEY = BOCHA_SEARCH_API_KEY
|
||||
app.state.config.SERPSTACK_API_KEY = SERPSTACK_API_KEY
|
||||
app.state.config.SERPSTACK_HTTPS = SERPSTACK_HTTPS
|
||||
app.state.config.SERPER_API_KEY = SERPER_API_KEY
|
||||
@@ -519,6 +549,7 @@ app.state.config.SEARCHAPI_ENGINE = SEARCHAPI_ENGINE
|
||||
app.state.config.JINA_API_KEY = JINA_API_KEY
|
||||
app.state.config.BING_SEARCH_V7_ENDPOINT = BING_SEARCH_V7_ENDPOINT
|
||||
app.state.config.BING_SEARCH_V7_SUBSCRIPTION_KEY = BING_SEARCH_V7_SUBSCRIPTION_KEY
|
||||
app.state.config.EXA_API_KEY = EXA_API_KEY
|
||||
|
||||
app.state.config.RAG_WEB_SEARCH_RESULT_COUNT = RAG_WEB_SEARCH_RESULT_COUNT
|
||||
app.state.config.RAG_WEB_SEARCH_CONCURRENT_REQUESTS = RAG_WEB_SEARCH_CONCURRENT_REQUESTS
|
||||
@@ -563,6 +594,24 @@ app.state.EMBEDDING_FUNCTION = get_embedding_function(
|
||||
app.state.config.RAG_EMBEDDING_BATCH_SIZE,
|
||||
)
|
||||
|
||||
########################################
|
||||
#
|
||||
# CODE INTERPRETER
|
||||
#
|
||||
########################################
|
||||
|
||||
app.state.config.ENABLE_CODE_INTERPRETER = ENABLE_CODE_INTERPRETER
|
||||
app.state.config.CODE_INTERPRETER_ENGINE = CODE_INTERPRETER_ENGINE
|
||||
app.state.config.CODE_INTERPRETER_PROMPT_TEMPLATE = CODE_INTERPRETER_PROMPT_TEMPLATE
|
||||
|
||||
app.state.config.CODE_INTERPRETER_JUPYTER_URL = CODE_INTERPRETER_JUPYTER_URL
|
||||
app.state.config.CODE_INTERPRETER_JUPYTER_AUTH = CODE_INTERPRETER_JUPYTER_AUTH
|
||||
app.state.config.CODE_INTERPRETER_JUPYTER_AUTH_TOKEN = (
|
||||
CODE_INTERPRETER_JUPYTER_AUTH_TOKEN
|
||||
)
|
||||
app.state.config.CODE_INTERPRETER_JUPYTER_AUTH_PASSWORD = (
|
||||
CODE_INTERPRETER_JUPYTER_AUTH_PASSWORD
|
||||
)
|
||||
|
||||
########################################
|
||||
#
|
||||
@@ -572,6 +621,7 @@ app.state.EMBEDDING_FUNCTION = get_embedding_function(
|
||||
|
||||
app.state.config.IMAGE_GENERATION_ENGINE = IMAGE_GENERATION_ENGINE
|
||||
app.state.config.ENABLE_IMAGE_GENERATION = ENABLE_IMAGE_GENERATION
|
||||
app.state.config.ENABLE_IMAGE_PROMPT_GENERATION = ENABLE_IMAGE_PROMPT_GENERATION
|
||||
|
||||
app.state.config.IMAGES_OPENAI_API_BASE_URL = IMAGES_OPENAI_API_BASE_URL
|
||||
app.state.config.IMAGES_OPENAI_API_KEY = IMAGES_OPENAI_API_KEY
|
||||
@@ -604,6 +654,7 @@ app.state.config.STT_ENGINE = AUDIO_STT_ENGINE
|
||||
app.state.config.STT_MODEL = AUDIO_STT_MODEL
|
||||
|
||||
app.state.config.WHISPER_MODEL = WHISPER_MODEL
|
||||
app.state.config.DEEPGRAM_API_KEY = DEEPGRAM_API_KEY
|
||||
|
||||
app.state.config.TTS_OPENAI_API_BASE_URL = AUDIO_TTS_OPENAI_API_BASE_URL
|
||||
app.state.config.TTS_OPENAI_API_KEY = AUDIO_TTS_OPENAI_API_KEY
|
||||
@@ -642,6 +693,10 @@ app.state.config.ENABLE_TAGS_GENERATION = ENABLE_TAGS_GENERATION
|
||||
|
||||
app.state.config.TITLE_GENERATION_PROMPT_TEMPLATE = TITLE_GENERATION_PROMPT_TEMPLATE
|
||||
app.state.config.TAGS_GENERATION_PROMPT_TEMPLATE = TAGS_GENERATION_PROMPT_TEMPLATE
|
||||
app.state.config.IMAGE_PROMPT_GENERATION_PROMPT_TEMPLATE = (
|
||||
IMAGE_PROMPT_GENERATION_PROMPT_TEMPLATE
|
||||
)
|
||||
|
||||
app.state.config.TOOLS_FUNCTION_CALLING_PROMPT_TEMPLATE = (
|
||||
TOOLS_FUNCTION_CALLING_PROMPT_TEMPLATE
|
||||
)
|
||||
@@ -742,6 +797,7 @@ app.include_router(openai.router, prefix="/openai", tags=["openai"])
|
||||
app.include_router(pipelines.router, prefix="/api/v1/pipelines", tags=["pipelines"])
|
||||
app.include_router(tasks.router, prefix="/api/v1/tasks", tags=["tasks"])
|
||||
app.include_router(images.router, prefix="/api/v1/images", tags=["images"])
|
||||
|
||||
app.include_router(audio.router, prefix="/api/v1/audio", tags=["audio"])
|
||||
app.include_router(retrieval.router, prefix="/api/v1/retrieval", tags=["retrieval"])
|
||||
|
||||
@@ -844,19 +900,30 @@ async def chat_completion(
|
||||
if not request.app.state.MODELS:
|
||||
await get_all_models(request)
|
||||
|
||||
model_item = form_data.pop("model_item", {})
|
||||
tasks = form_data.pop("background_tasks", None)
|
||||
try:
|
||||
model_id = form_data.get("model", None)
|
||||
if model_id not in request.app.state.MODELS:
|
||||
raise Exception("Model not found")
|
||||
model = request.app.state.MODELS[model_id]
|
||||
|
||||
# Check if user has access to the model
|
||||
if not BYPASS_MODEL_ACCESS_CONTROL and user.role == "user":
|
||||
try:
|
||||
check_model_access(user, model)
|
||||
except Exception as e:
|
||||
raise e
|
||||
try:
|
||||
if not model_item.get("direct", False):
|
||||
model_id = form_data.get("model", None)
|
||||
if model_id not in request.app.state.MODELS:
|
||||
raise Exception("Model not found")
|
||||
|
||||
model = request.app.state.MODELS[model_id]
|
||||
model_info = Models.get_model_by_id(model_id)
|
||||
|
||||
# Check if user has access to the model
|
||||
if not BYPASS_MODEL_ACCESS_CONTROL and user.role == "user":
|
||||
try:
|
||||
check_model_access(user, model)
|
||||
except Exception as e:
|
||||
raise e
|
||||
else:
|
||||
model = model_item
|
||||
model_info = None
|
||||
|
||||
request.state.direct = True
|
||||
request.state.model = model
|
||||
|
||||
metadata = {
|
||||
"user_id": user.id,
|
||||
@@ -866,13 +933,30 @@ async def chat_completion(
|
||||
"tool_ids": form_data.get("tool_ids", None),
|
||||
"files": form_data.get("files", None),
|
||||
"features": form_data.get("features", None),
|
||||
"variables": form_data.get("variables", None),
|
||||
"model": model_info,
|
||||
"direct": model_item.get("direct", False),
|
||||
**(
|
||||
{"function_calling": "native"}
|
||||
if form_data.get("params", {}).get("function_calling") == "native"
|
||||
or (
|
||||
model_info
|
||||
and model_info.params.model_dump().get("function_calling")
|
||||
== "native"
|
||||
)
|
||||
else {}
|
||||
),
|
||||
}
|
||||
|
||||
request.state.metadata = metadata
|
||||
form_data["metadata"] = metadata
|
||||
|
||||
form_data, events = await process_chat_payload(
|
||||
form_data, metadata, events = await process_chat_payload(
|
||||
request, form_data, metadata, user, model
|
||||
)
|
||||
|
||||
except Exception as e:
|
||||
log.debug(f"Error processing chat payload: {e}")
|
||||
raise HTTPException(
|
||||
status_code=status.HTTP_400_BAD_REQUEST,
|
||||
detail=str(e),
|
||||
@@ -880,6 +964,7 @@ async def chat_completion(
|
||||
|
||||
try:
|
||||
response = await chat_completion_handler(request, form_data, user)
|
||||
|
||||
return await process_chat_response(
|
||||
request, response, form_data, user, events, metadata, tasks
|
||||
)
|
||||
@@ -900,6 +985,12 @@ async def chat_completed(
|
||||
request: Request, form_data: dict, user=Depends(get_verified_user)
|
||||
):
|
||||
try:
|
||||
model_item = form_data.pop("model_item", {})
|
||||
|
||||
if model_item.get("direct", False):
|
||||
request.state.direct = True
|
||||
request.state.model = model_item
|
||||
|
||||
return await chat_completed_handler(request, form_data, user)
|
||||
except Exception as e:
|
||||
raise HTTPException(
|
||||
@@ -913,6 +1004,12 @@ async def chat_action(
|
||||
request: Request, action_id: str, form_data: dict, user=Depends(get_verified_user)
|
||||
):
|
||||
try:
|
||||
model_item = form_data.pop("model_item", {})
|
||||
|
||||
if model_item.get("direct", False):
|
||||
request.state.direct = True
|
||||
request.state.model = model_item
|
||||
|
||||
return await chat_action_handler(request, action_id, form_data, user)
|
||||
except Exception as e:
|
||||
raise HTTPException(
|
||||
@@ -985,23 +1082,22 @@ async def get_app_config(request: Request):
|
||||
"enable_websocket": ENABLE_WEBSOCKET_SUPPORT,
|
||||
**(
|
||||
{
|
||||
"enable_direct_connections": app.state.config.ENABLE_DIRECT_CONNECTIONS,
|
||||
"enable_channels": app.state.config.ENABLE_CHANNELS,
|
||||
"enable_web_search": app.state.config.ENABLE_RAG_WEB_SEARCH,
|
||||
"enable_google_drive_integration": app.state.config.ENABLE_GOOGLE_DRIVE_INTEGRATION,
|
||||
"enable_code_interpreter": app.state.config.ENABLE_CODE_INTERPRETER,
|
||||
"enable_image_generation": app.state.config.ENABLE_IMAGE_GENERATION,
|
||||
"enable_autocomplete_generation": app.state.config.ENABLE_AUTOCOMPLETE_GENERATION,
|
||||
"enable_community_sharing": app.state.config.ENABLE_COMMUNITY_SHARING,
|
||||
"enable_message_rating": app.state.config.ENABLE_MESSAGE_RATING,
|
||||
"enable_admin_export": ENABLE_ADMIN_EXPORT,
|
||||
"enable_admin_chat_access": ENABLE_ADMIN_CHAT_ACCESS,
|
||||
"enable_google_drive_integration": app.state.config.ENABLE_GOOGLE_DRIVE_INTEGRATION,
|
||||
}
|
||||
if user is not None
|
||||
else {}
|
||||
),
|
||||
},
|
||||
"google_drive": {
|
||||
"client_id": GOOGLE_DRIVE_CLIENT_ID.value,
|
||||
"api_key": GOOGLE_DRIVE_API_KEY.value,
|
||||
},
|
||||
**(
|
||||
{
|
||||
"default_models": app.state.config.DEFAULT_MODELS,
|
||||
@@ -1021,6 +1117,10 @@ async def get_app_config(request: Request):
|
||||
"max_count": app.state.config.FILE_MAX_COUNT,
|
||||
},
|
||||
"permissions": {**app.state.config.USER_PERMISSIONS},
|
||||
"google_drive": {
|
||||
"client_id": GOOGLE_DRIVE_CLIENT_ID.value,
|
||||
"api_key": GOOGLE_DRIVE_API_KEY.value,
|
||||
},
|
||||
}
|
||||
if user is not None
|
||||
else {}
|
||||
@@ -1054,7 +1154,7 @@ async def get_app_version():
|
||||
|
||||
|
||||
@app.get("/api/version/updates")
|
||||
async def get_app_latest_release_version():
|
||||
async def get_app_latest_release_version(user=Depends(get_verified_user)):
|
||||
if OFFLINE_MODE:
|
||||
log.debug(
|
||||
f"Offline mode is enabled, returning current version as latest version"
|
||||
|
||||
@@ -393,7 +393,7 @@ class ChatTable:
|
||||
limit: int = 50,
|
||||
) -> list[ChatModel]:
|
||||
with get_db() as db:
|
||||
query = db.query(Chat).filter_by(user_id=user_id).filter_by(folder_id=None)
|
||||
query = db.query(Chat).filter_by(user_id=user_id)
|
||||
if not include_archived:
|
||||
query = query.filter_by(archived=False)
|
||||
|
||||
@@ -470,7 +470,7 @@ class ChatTable:
|
||||
try:
|
||||
with get_db() as db:
|
||||
# it is possible that the shared link was deleted. hence,
|
||||
# we check if the chat is still shared by checkng if a chat with the share_id exists
|
||||
# we check if the chat is still shared by checking if a chat with the share_id exists
|
||||
chat = db.query(Chat).filter_by(share_id=id).first()
|
||||
|
||||
if chat:
|
||||
|
||||
@@ -80,12 +80,11 @@ class GroupResponse(BaseModel):
|
||||
class GroupForm(BaseModel):
|
||||
name: str
|
||||
description: str
|
||||
permissions: Optional[dict] = None
|
||||
|
||||
|
||||
class GroupUpdateForm(GroupForm):
|
||||
permissions: Optional[dict] = None
|
||||
user_ids: Optional[list[str]] = None
|
||||
admin_ids: Optional[list[str]] = None
|
||||
|
||||
|
||||
class GroupTable:
|
||||
@@ -95,7 +94,7 @@ class GroupTable:
|
||||
with get_db() as db:
|
||||
group = GroupModel(
|
||||
**{
|
||||
**form_data.model_dump(),
|
||||
**form_data.model_dump(exclude_none=True),
|
||||
"id": str(uuid.uuid4()),
|
||||
"user_id": user_id,
|
||||
"created_at": int(time.time()),
|
||||
@@ -189,5 +188,24 @@ class GroupTable:
|
||||
except Exception:
|
||||
return False
|
||||
|
||||
def remove_user_from_all_groups(self, user_id: str) -> bool:
|
||||
with get_db() as db:
|
||||
try:
|
||||
groups = self.get_groups_by_member_id(user_id)
|
||||
|
||||
for group in groups:
|
||||
group.user_ids.remove(user_id)
|
||||
db.query(Group).filter_by(id=group.id).update(
|
||||
{
|
||||
"user_ids": group.user_ids,
|
||||
"updated_at": int(time.time()),
|
||||
}
|
||||
)
|
||||
db.commit()
|
||||
|
||||
return True
|
||||
except Exception:
|
||||
return False
|
||||
|
||||
|
||||
Groups = GroupTable()
|
||||
|
||||
@@ -2,7 +2,12 @@ import time
|
||||
from typing import Optional
|
||||
|
||||
from open_webui.internal.db import Base, JSONField, get_db
|
||||
|
||||
|
||||
from open_webui.models.chats import Chats
|
||||
from open_webui.models.groups import Groups
|
||||
|
||||
|
||||
from pydantic import BaseModel, ConfigDict
|
||||
from sqlalchemy import BigInteger, Column, String, Text
|
||||
|
||||
@@ -266,11 +271,31 @@ class UsersTable:
|
||||
except Exception:
|
||||
return None
|
||||
|
||||
def update_user_settings_by_id(self, id: str, updated: dict) -> Optional[UserModel]:
|
||||
try:
|
||||
with get_db() as db:
|
||||
user_settings = db.query(User).filter_by(id=id).first().settings
|
||||
|
||||
if user_settings is None:
|
||||
user_settings = {}
|
||||
|
||||
user_settings.update(updated)
|
||||
|
||||
db.query(User).filter_by(id=id).update({"settings": user_settings})
|
||||
db.commit()
|
||||
|
||||
user = db.query(User).filter_by(id=id).first()
|
||||
return UserModel.model_validate(user)
|
||||
except Exception:
|
||||
return None
|
||||
|
||||
def delete_user_by_id(self, id: str) -> bool:
|
||||
try:
|
||||
# Remove User from Groups
|
||||
Groups.remove_user_from_all_groups(id)
|
||||
|
||||
# Delete User Chats
|
||||
result = Chats.delete_chats_by_user_id(id)
|
||||
|
||||
if result:
|
||||
with get_db() as db:
|
||||
# Delete User
|
||||
@@ -300,5 +325,10 @@ class UsersTable:
|
||||
except Exception:
|
||||
return None
|
||||
|
||||
def get_valid_user_ids(self, user_ids: list[str]) -> list[str]:
|
||||
with get_db() as db:
|
||||
users = db.query(User).filter(User.id.in_(user_ids)).all()
|
||||
return [user.id for user in users]
|
||||
|
||||
|
||||
Users = UsersTable()
|
||||
|
||||
@@ -11,10 +11,17 @@ from langchain.retrievers import ContextualCompressionRetriever, EnsembleRetriev
|
||||
from langchain_community.retrievers import BM25Retriever
|
||||
from langchain_core.documents import Document
|
||||
|
||||
|
||||
from open_webui.config import VECTOR_DB
|
||||
from open_webui.retrieval.vector.connector import VECTOR_DB_CLIENT
|
||||
from open_webui.utils.misc import get_last_user_message
|
||||
from open_webui.models.users import UserModel
|
||||
|
||||
from open_webui.env import SRC_LOG_LEVELS, OFFLINE_MODE
|
||||
from open_webui.env import (
|
||||
SRC_LOG_LEVELS,
|
||||
OFFLINE_MODE,
|
||||
ENABLE_FORWARD_USER_INFO_HEADERS,
|
||||
)
|
||||
|
||||
log = logging.getLogger(__name__)
|
||||
log.setLevel(SRC_LOG_LEVELS["RAG"])
|
||||
@@ -59,9 +66,7 @@ class VectorSearchRetriever(BaseRetriever):
|
||||
|
||||
|
||||
def query_doc(
|
||||
collection_name: str,
|
||||
query_embedding: list[float],
|
||||
k: int,
|
||||
collection_name: str, query_embedding: list[float], k: int, user: UserModel = None
|
||||
):
|
||||
try:
|
||||
result = VECTOR_DB_CLIENT.search(
|
||||
@@ -199,7 +204,12 @@ def query_collection(
|
||||
else:
|
||||
pass
|
||||
|
||||
return merge_and_sort_query_results(results, k=k)
|
||||
if VECTOR_DB == "chroma":
|
||||
# Chroma uses unconventional cosine similarity, so we don't need to reverse the results
|
||||
# https://docs.trychroma.com/docs/collections/configure#configuring-chroma-collections
|
||||
return merge_and_sort_query_results(results, k=k, reverse=False)
|
||||
else:
|
||||
return merge_and_sort_query_results(results, k=k, reverse=True)
|
||||
|
||||
|
||||
def query_collection_with_hybrid_search(
|
||||
@@ -235,7 +245,12 @@ def query_collection_with_hybrid_search(
|
||||
"Hybrid search failed for all collections. Using Non hybrid search as fallback."
|
||||
)
|
||||
|
||||
return merge_and_sort_query_results(results, k=k, reverse=True)
|
||||
if VECTOR_DB == "chroma":
|
||||
# Chroma uses unconventional cosine similarity, so we don't need to reverse the results
|
||||
# https://docs.trychroma.com/docs/collections/configure#configuring-chroma-collections
|
||||
return merge_and_sort_query_results(results, k=k, reverse=False)
|
||||
else:
|
||||
return merge_and_sort_query_results(results, k=k, reverse=True)
|
||||
|
||||
|
||||
def get_embedding_function(
|
||||
@@ -247,26 +262,31 @@ def get_embedding_function(
|
||||
embedding_batch_size,
|
||||
):
|
||||
if embedding_engine == "":
|
||||
return lambda query: embedding_function.encode(query).tolist()
|
||||
return lambda query, user=None: embedding_function.encode(query).tolist()
|
||||
elif embedding_engine in ["ollama", "openai"]:
|
||||
func = lambda query: generate_embeddings(
|
||||
func = lambda query, user=None: generate_embeddings(
|
||||
engine=embedding_engine,
|
||||
model=embedding_model,
|
||||
text=query,
|
||||
url=url,
|
||||
key=key,
|
||||
user=user,
|
||||
)
|
||||
|
||||
def generate_multiple(query, func):
|
||||
def generate_multiple(query, user, func):
|
||||
if isinstance(query, list):
|
||||
embeddings = []
|
||||
for i in range(0, len(query), embedding_batch_size):
|
||||
embeddings.extend(func(query[i : i + embedding_batch_size]))
|
||||
embeddings.extend(
|
||||
func(query[i : i + embedding_batch_size], user=user)
|
||||
)
|
||||
return embeddings
|
||||
else:
|
||||
return func(query)
|
||||
return func(query, user)
|
||||
|
||||
return lambda query: generate_multiple(query, func)
|
||||
return lambda query, user=None: generate_multiple(query, user, func)
|
||||
else:
|
||||
raise ValueError(f"Unknown embedding engine: {embedding_engine}")
|
||||
|
||||
|
||||
def get_sources_from_files(
|
||||
@@ -411,7 +431,11 @@ def get_model_path(model: str, update_model: bool = False):
|
||||
|
||||
|
||||
def generate_openai_batch_embeddings(
|
||||
model: str, texts: list[str], url: str = "https://api.openai.com/v1", key: str = ""
|
||||
model: str,
|
||||
texts: list[str],
|
||||
url: str = "https://api.openai.com/v1",
|
||||
key: str = "",
|
||||
user: UserModel = None,
|
||||
) -> Optional[list[list[float]]]:
|
||||
try:
|
||||
r = requests.post(
|
||||
@@ -419,6 +443,16 @@ def generate_openai_batch_embeddings(
|
||||
headers={
|
||||
"Content-Type": "application/json",
|
||||
"Authorization": f"Bearer {key}",
|
||||
**(
|
||||
{
|
||||
"X-OpenWebUI-User-Name": user.name,
|
||||
"X-OpenWebUI-User-Id": user.id,
|
||||
"X-OpenWebUI-User-Email": user.email,
|
||||
"X-OpenWebUI-User-Role": user.role,
|
||||
}
|
||||
if ENABLE_FORWARD_USER_INFO_HEADERS and user
|
||||
else {}
|
||||
),
|
||||
},
|
||||
json={"input": texts, "model": model},
|
||||
)
|
||||
@@ -434,7 +468,7 @@ def generate_openai_batch_embeddings(
|
||||
|
||||
|
||||
def generate_ollama_batch_embeddings(
|
||||
model: str, texts: list[str], url: str, key: str = ""
|
||||
model: str, texts: list[str], url: str, key: str = "", user: UserModel = None
|
||||
) -> Optional[list[list[float]]]:
|
||||
try:
|
||||
r = requests.post(
|
||||
@@ -442,6 +476,16 @@ def generate_ollama_batch_embeddings(
|
||||
headers={
|
||||
"Content-Type": "application/json",
|
||||
"Authorization": f"Bearer {key}",
|
||||
**(
|
||||
{
|
||||
"X-OpenWebUI-User-Name": user.name,
|
||||
"X-OpenWebUI-User-Id": user.id,
|
||||
"X-OpenWebUI-User-Email": user.email,
|
||||
"X-OpenWebUI-User-Role": user.role,
|
||||
}
|
||||
if ENABLE_FORWARD_USER_INFO_HEADERS
|
||||
else {}
|
||||
),
|
||||
},
|
||||
json={"input": texts, "model": model},
|
||||
)
|
||||
@@ -460,22 +504,29 @@ def generate_ollama_batch_embeddings(
|
||||
def generate_embeddings(engine: str, model: str, text: Union[str, list[str]], **kwargs):
|
||||
url = kwargs.get("url", "")
|
||||
key = kwargs.get("key", "")
|
||||
user = kwargs.get("user")
|
||||
|
||||
if engine == "ollama":
|
||||
if isinstance(text, list):
|
||||
embeddings = generate_ollama_batch_embeddings(
|
||||
**{"model": model, "texts": text, "url": url, "key": key}
|
||||
**{"model": model, "texts": text, "url": url, "key": key, "user": user}
|
||||
)
|
||||
else:
|
||||
embeddings = generate_ollama_batch_embeddings(
|
||||
**{"model": model, "texts": [text], "url": url, "key": key}
|
||||
**{
|
||||
"model": model,
|
||||
"texts": [text],
|
||||
"url": url,
|
||||
"key": key,
|
||||
"user": user,
|
||||
}
|
||||
)
|
||||
return embeddings[0] if isinstance(text, str) else embeddings
|
||||
elif engine == "openai":
|
||||
if isinstance(text, list):
|
||||
embeddings = generate_openai_batch_embeddings(model, text, url, key)
|
||||
embeddings = generate_openai_batch_embeddings(model, text, url, key, user)
|
||||
else:
|
||||
embeddings = generate_openai_batch_embeddings(model, [text], url, key)
|
||||
embeddings = generate_openai_batch_embeddings(model, [text], url, key, user)
|
||||
|
||||
return embeddings[0] if isinstance(text, str) else embeddings
|
||||
|
||||
|
||||
@@ -51,8 +51,8 @@ class ChromaClient:
|
||||
|
||||
def has_collection(self, collection_name: str) -> bool:
|
||||
# Check if the collection exists based on the collection name.
|
||||
collections = self.client.list_collections()
|
||||
return collection_name in [collection.name for collection in collections]
|
||||
collection_names = self.client.list_collections()
|
||||
return collection_name in collection_names
|
||||
|
||||
def delete_collection(self, collection_name: str):
|
||||
# Delete the collection based on the collection name.
|
||||
|
||||
@@ -7,13 +7,18 @@ from typing import Optional
|
||||
from open_webui.retrieval.vector.main import VectorItem, SearchResult, GetResult
|
||||
from open_webui.config import (
|
||||
MILVUS_URI,
|
||||
MILVUS_DB,
|
||||
MILVUS_TOKEN,
|
||||
)
|
||||
|
||||
|
||||
class MilvusClient:
|
||||
def __init__(self):
|
||||
self.collection_prefix = "open_webui"
|
||||
self.client = Client(uri=MILVUS_URI)
|
||||
if MILVUS_TOKEN is None:
|
||||
self.client = Client(uri=MILVUS_URI, database=MILVUS_DB)
|
||||
else:
|
||||
self.client = Client(uri=MILVUS_URI, database=MILVUS_DB, token=MILVUS_TOKEN)
|
||||
|
||||
def _result_to_get_result(self, result) -> GetResult:
|
||||
ids = []
|
||||
|
||||
@@ -113,6 +113,34 @@ class OpenSearchClient:
|
||||
|
||||
return self._result_to_search_result(result)
|
||||
|
||||
def query(
|
||||
self, collection_name: str, filter: dict, limit: Optional[int] = None
|
||||
) -> Optional[GetResult]:
|
||||
if not self.has_collection(collection_name):
|
||||
return None
|
||||
|
||||
query_body = {
|
||||
"query": {"bool": {"filter": []}},
|
||||
"_source": ["text", "metadata"],
|
||||
}
|
||||
|
||||
for field, value in filter.items():
|
||||
query_body["query"]["bool"]["filter"].append({"term": {field: value}})
|
||||
|
||||
size = limit if limit else 10
|
||||
|
||||
try:
|
||||
result = self.client.search(
|
||||
index=f"{self.index_prefix}_{collection_name}",
|
||||
body=query_body,
|
||||
size=size,
|
||||
)
|
||||
|
||||
return self._result_to_get_result(result)
|
||||
|
||||
except Exception as e:
|
||||
return None
|
||||
|
||||
def get_or_create_index(self, index_name: str, dimension: int):
|
||||
if not self.has_index(index_name):
|
||||
self._create_index(index_name, dimension)
|
||||
|
||||
@@ -9,6 +9,7 @@ from sqlalchemy import (
|
||||
select,
|
||||
text,
|
||||
Text,
|
||||
Table,
|
||||
values,
|
||||
)
|
||||
from sqlalchemy.sql import true
|
||||
@@ -18,6 +19,7 @@ from sqlalchemy.orm import declarative_base, scoped_session, sessionmaker
|
||||
from sqlalchemy.dialects.postgresql import JSONB, array
|
||||
from pgvector.sqlalchemy import Vector
|
||||
from sqlalchemy.ext.mutable import MutableDict
|
||||
from sqlalchemy.exc import NoSuchTableError
|
||||
|
||||
from open_webui.retrieval.vector.main import VectorItem, SearchResult, GetResult
|
||||
from open_webui.config import PGVECTOR_DB_URL, PGVECTOR_INITIALIZE_MAX_VECTOR_LENGTH
|
||||
@@ -92,31 +94,34 @@ class PgvectorClient:
|
||||
Raises an exception if there is a mismatch.
|
||||
"""
|
||||
metadata = MetaData()
|
||||
metadata.reflect(bind=self.session.bind, only=["document_chunk"])
|
||||
try:
|
||||
# Attempt to reflect the 'document_chunk' table
|
||||
document_chunk_table = Table(
|
||||
"document_chunk", metadata, autoload_with=self.session.bind
|
||||
)
|
||||
except NoSuchTableError:
|
||||
# Table does not exist; no action needed
|
||||
return
|
||||
|
||||
if "document_chunk" in metadata.tables:
|
||||
document_chunk_table = metadata.tables["document_chunk"]
|
||||
if "vector" in document_chunk_table.columns:
|
||||
vector_column = document_chunk_table.columns["vector"]
|
||||
vector_type = vector_column.type
|
||||
if isinstance(vector_type, Vector):
|
||||
db_vector_length = vector_type.dim
|
||||
if db_vector_length != VECTOR_LENGTH:
|
||||
raise Exception(
|
||||
f"VECTOR_LENGTH {VECTOR_LENGTH} does not match existing vector column dimension {db_vector_length}. "
|
||||
"Cannot change vector size after initialization without migrating the data."
|
||||
)
|
||||
else:
|
||||
# Proceed to check the vector column
|
||||
if "vector" in document_chunk_table.columns:
|
||||
vector_column = document_chunk_table.columns["vector"]
|
||||
vector_type = vector_column.type
|
||||
if isinstance(vector_type, Vector):
|
||||
db_vector_length = vector_type.dim
|
||||
if db_vector_length != VECTOR_LENGTH:
|
||||
raise Exception(
|
||||
"The 'vector' column exists but is not of type 'Vector'."
|
||||
f"VECTOR_LENGTH {VECTOR_LENGTH} does not match existing vector column dimension {db_vector_length}. "
|
||||
"Cannot change vector size after initialization without migrating the data."
|
||||
)
|
||||
else:
|
||||
raise Exception(
|
||||
"The 'vector' column does not exist in the 'document_chunk' table."
|
||||
"The 'vector' column exists but is not of type 'Vector'."
|
||||
)
|
||||
else:
|
||||
# Table does not exist yet; no action needed
|
||||
pass
|
||||
raise Exception(
|
||||
"The 'vector' column does not exist in the 'document_chunk' table."
|
||||
)
|
||||
|
||||
def adjust_vector_length(self, vector: List[float]) -> List[float]:
|
||||
# Adjust vector to have length VECTOR_LENGTH
|
||||
|
||||
@@ -23,7 +23,7 @@ def search_bing(
|
||||
filter_list: Optional[list[str]] = None,
|
||||
) -> list[SearchResult]:
|
||||
mkt = locale
|
||||
params = {"q": query, "mkt": mkt, "answerCount": count}
|
||||
params = {"q": query, "mkt": mkt, "count": count}
|
||||
headers = {"Ocp-Apim-Subscription-Key": subscription_key}
|
||||
|
||||
try:
|
||||
|
||||
@@ -0,0 +1,65 @@
|
||||
import logging
|
||||
from typing import Optional
|
||||
|
||||
import requests
|
||||
import json
|
||||
from open_webui.retrieval.web.main import SearchResult, get_filtered_results
|
||||
from open_webui.env import SRC_LOG_LEVELS
|
||||
|
||||
log = logging.getLogger(__name__)
|
||||
log.setLevel(SRC_LOG_LEVELS["RAG"])
|
||||
|
||||
|
||||
def _parse_response(response):
|
||||
result = {}
|
||||
if "data" in response:
|
||||
data = response["data"]
|
||||
if "webPages" in data:
|
||||
webPages = data["webPages"]
|
||||
if "value" in webPages:
|
||||
result["webpage"] = [
|
||||
{
|
||||
"id": item.get("id", ""),
|
||||
"name": item.get("name", ""),
|
||||
"url": item.get("url", ""),
|
||||
"snippet": item.get("snippet", ""),
|
||||
"summary": item.get("summary", ""),
|
||||
"siteName": item.get("siteName", ""),
|
||||
"siteIcon": item.get("siteIcon", ""),
|
||||
"datePublished": item.get("datePublished", "")
|
||||
or item.get("dateLastCrawled", ""),
|
||||
}
|
||||
for item in webPages["value"]
|
||||
]
|
||||
return result
|
||||
|
||||
|
||||
def search_bocha(
|
||||
api_key: str, query: str, count: int, filter_list: Optional[list[str]] = None
|
||||
) -> list[SearchResult]:
|
||||
"""Search using Bocha's Search API and return the results as a list of SearchResult objects.
|
||||
|
||||
Args:
|
||||
api_key (str): A Bocha Search API key
|
||||
query (str): The query to search for
|
||||
"""
|
||||
url = "https://api.bochaai.com/v1/web-search?utm_source=ollama"
|
||||
headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
|
||||
|
||||
payload = json.dumps(
|
||||
{"query": query, "summary": True, "freshness": "noLimit", "count": count}
|
||||
)
|
||||
|
||||
response = requests.post(url, headers=headers, data=payload, timeout=5)
|
||||
response.raise_for_status()
|
||||
results = _parse_response(response.json())
|
||||
print(results)
|
||||
if filter_list:
|
||||
results = get_filtered_results(results, filter_list)
|
||||
|
||||
return [
|
||||
SearchResult(
|
||||
link=result["url"], title=result.get("name"), snippet=result.get("summary")
|
||||
)
|
||||
for result in results.get("webpage", [])[:count]
|
||||
]
|
||||
@@ -0,0 +1,76 @@
|
||||
import logging
|
||||
from dataclasses import dataclass
|
||||
from typing import Optional
|
||||
|
||||
import requests
|
||||
from open_webui.env import SRC_LOG_LEVELS
|
||||
from open_webui.retrieval.web.main import SearchResult
|
||||
|
||||
log = logging.getLogger(__name__)
|
||||
log.setLevel(SRC_LOG_LEVELS["RAG"])
|
||||
|
||||
EXA_API_BASE = "https://api.exa.ai"
|
||||
|
||||
|
||||
@dataclass
|
||||
class ExaResult:
|
||||
url: str
|
||||
title: str
|
||||
text: str
|
||||
|
||||
|
||||
def search_exa(
|
||||
api_key: str,
|
||||
query: str,
|
||||
count: int,
|
||||
filter_list: Optional[list[str]] = None,
|
||||
) -> list[SearchResult]:
|
||||
"""Search using Exa Search API and return the results as a list of SearchResult objects.
|
||||
|
||||
Args:
|
||||
api_key (str): A Exa Search API key
|
||||
query (str): The query to search for
|
||||
count (int): Number of results to return
|
||||
filter_list (Optional[list[str]]): List of domains to filter results by
|
||||
"""
|
||||
log.info(f"Searching with Exa for query: {query}")
|
||||
|
||||
headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
|
||||
|
||||
payload = {
|
||||
"query": query,
|
||||
"numResults": count or 5,
|
||||
"includeDomains": filter_list,
|
||||
"contents": {"text": True, "highlights": True},
|
||||
"type": "auto", # Use the auto search type (keyword or neural)
|
||||
}
|
||||
|
||||
try:
|
||||
response = requests.post(
|
||||
f"{EXA_API_BASE}/search", headers=headers, json=payload
|
||||
)
|
||||
response.raise_for_status()
|
||||
data = response.json()
|
||||
|
||||
results = []
|
||||
for result in data["results"]:
|
||||
results.append(
|
||||
ExaResult(
|
||||
url=result["url"],
|
||||
title=result["title"],
|
||||
text=result["text"],
|
||||
)
|
||||
)
|
||||
|
||||
log.info(f"Found {len(results)} results")
|
||||
return [
|
||||
SearchResult(
|
||||
link=result.url,
|
||||
title=result.title,
|
||||
snippet=result.text,
|
||||
)
|
||||
for result in results
|
||||
]
|
||||
except Exception as e:
|
||||
log.error(f"Error searching Exa: {e}")
|
||||
return []
|
||||
@@ -17,34 +17,53 @@ def search_google_pse(
|
||||
filter_list: Optional[list[str]] = None,
|
||||
) -> list[SearchResult]:
|
||||
"""Search using Google's Programmable Search Engine API and return the results as a list of SearchResult objects.
|
||||
Handles pagination for counts greater than 10.
|
||||
|
||||
Args:
|
||||
api_key (str): A Programmable Search Engine API key
|
||||
search_engine_id (str): A Programmable Search Engine ID
|
||||
query (str): The query to search for
|
||||
count (int): The number of results to return (max 100, as PSE max results per query is 10 and max page is 10)
|
||||
filter_list (Optional[list[str]], optional): A list of keywords to filter out from results. Defaults to None.
|
||||
|
||||
Returns:
|
||||
list[SearchResult]: A list of SearchResult objects.
|
||||
"""
|
||||
url = "https://www.googleapis.com/customsearch/v1"
|
||||
|
||||
headers = {"Content-Type": "application/json"}
|
||||
params = {
|
||||
"cx": search_engine_id,
|
||||
"q": query,
|
||||
"key": api_key,
|
||||
"num": count,
|
||||
}
|
||||
all_results = []
|
||||
start_index = 1 # Google PSE start parameter is 1-based
|
||||
|
||||
response = requests.request("GET", url, headers=headers, params=params)
|
||||
response.raise_for_status()
|
||||
while count > 0:
|
||||
num_results_this_page = min(count, 10) # Google PSE max results per page is 10
|
||||
params = {
|
||||
"cx": search_engine_id,
|
||||
"q": query,
|
||||
"key": api_key,
|
||||
"num": num_results_this_page,
|
||||
"start": start_index,
|
||||
}
|
||||
response = requests.request("GET", url, headers=headers, params=params)
|
||||
response.raise_for_status()
|
||||
json_response = response.json()
|
||||
results = json_response.get("items", [])
|
||||
if results: # check if results are returned. If not, no more pages to fetch.
|
||||
all_results.extend(results)
|
||||
count -= len(
|
||||
results
|
||||
) # Decrement count by the number of results fetched in this page.
|
||||
start_index += 10 # Increment start index for the next page
|
||||
else:
|
||||
break # No more results from Google PSE, break the loop
|
||||
|
||||
json_response = response.json()
|
||||
results = json_response.get("items", [])
|
||||
if filter_list:
|
||||
results = get_filtered_results(results, filter_list)
|
||||
all_results = get_filtered_results(all_results, filter_list)
|
||||
|
||||
return [
|
||||
SearchResult(
|
||||
link=result["link"],
|
||||
title=result.get("title"),
|
||||
snippet=result.get("snippet"),
|
||||
)
|
||||
for result in results
|
||||
for result in all_results
|
||||
]
|
||||
|
||||
@@ -20,14 +20,23 @@ def search_jina(api_key: str, query: str, count: int) -> list[SearchResult]:
|
||||
list[SearchResult]: A list of search results
|
||||
"""
|
||||
jina_search_endpoint = "https://s.jina.ai/"
|
||||
headers = {"Accept": "application/json", "Authorization": f"Bearer {api_key}"}
|
||||
url = str(URL(jina_search_endpoint + query))
|
||||
response = requests.get(url, headers=headers)
|
||||
|
||||
headers = {
|
||||
"Accept": "application/json",
|
||||
"Content-Type": "application/json",
|
||||
"Authorization": api_key,
|
||||
"X-Retain-Images": "none",
|
||||
}
|
||||
|
||||
payload = {"q": query, "count": count if count <= 10 else 10}
|
||||
|
||||
url = str(URL(jina_search_endpoint))
|
||||
response = requests.post(url, headers=headers, json=payload)
|
||||
response.raise_for_status()
|
||||
data = response.json()
|
||||
|
||||
results = []
|
||||
for result in data["data"][:count]:
|
||||
for result in data["data"]:
|
||||
results.append(
|
||||
SearchResult(
|
||||
link=result["url"],
|
||||
|
||||
@@ -1,3 +1,5 @@
|
||||
import validators
|
||||
|
||||
from typing import Optional
|
||||
from urllib.parse import urlparse
|
||||
|
||||
@@ -10,6 +12,8 @@ def get_filtered_results(results, filter_list):
|
||||
filtered_results = []
|
||||
for result in results:
|
||||
url = result.get("url") or result.get("link", "")
|
||||
if not validators.url(url):
|
||||
continue
|
||||
domain = urlparse(url).netloc
|
||||
if any(domain.endswith(filtered_domain) for filtered_domain in filter_list):
|
||||
filtered_results.append(result)
|
||||
|
||||
@@ -43,6 +43,17 @@ def validate_url(url: Union[str, Sequence[str]]):
|
||||
return False
|
||||
|
||||
|
||||
def safe_validate_urls(url: Sequence[str]) -> Sequence[str]:
|
||||
valid_urls = []
|
||||
for u in url:
|
||||
try:
|
||||
if validate_url(u):
|
||||
valid_urls.append(u)
|
||||
except ValueError:
|
||||
continue
|
||||
return valid_urls
|
||||
|
||||
|
||||
def resolve_hostname(hostname):
|
||||
# Get address information
|
||||
addr_info = socket.getaddrinfo(hostname, None)
|
||||
@@ -86,11 +97,11 @@ def get_web_loader(
|
||||
verify_ssl: bool = True,
|
||||
requests_per_second: int = 2,
|
||||
):
|
||||
# Check if the URL is valid
|
||||
if not validate_url(urls):
|
||||
raise ValueError(ERROR_MESSAGES.INVALID_URL)
|
||||
# Check if the URLs are valid
|
||||
safe_urls = safe_validate_urls([urls] if isinstance(urls, str) else urls)
|
||||
|
||||
return SafeWebBaseLoader(
|
||||
urls,
|
||||
safe_urls,
|
||||
verify_ssl=verify_ssl,
|
||||
requests_per_second=requests_per_second,
|
||||
continue_on_failure=True,
|
||||
|
||||
@@ -11,6 +11,7 @@ from pydub.silence import split_on_silence
|
||||
import aiohttp
|
||||
import aiofiles
|
||||
import requests
|
||||
import mimetypes
|
||||
|
||||
from fastapi import (
|
||||
Depends,
|
||||
@@ -138,6 +139,7 @@ class STTConfigForm(BaseModel):
|
||||
ENGINE: str
|
||||
MODEL: str
|
||||
WHISPER_MODEL: str
|
||||
DEEPGRAM_API_KEY: str
|
||||
|
||||
|
||||
class AudioConfigUpdateForm(BaseModel):
|
||||
@@ -165,6 +167,7 @@ async def get_audio_config(request: Request, user=Depends(get_admin_user)):
|
||||
"ENGINE": request.app.state.config.STT_ENGINE,
|
||||
"MODEL": request.app.state.config.STT_MODEL,
|
||||
"WHISPER_MODEL": request.app.state.config.WHISPER_MODEL,
|
||||
"DEEPGRAM_API_KEY": request.app.state.config.DEEPGRAM_API_KEY,
|
||||
},
|
||||
}
|
||||
|
||||
@@ -190,6 +193,7 @@ async def update_audio_config(
|
||||
request.app.state.config.STT_ENGINE = form_data.stt.ENGINE
|
||||
request.app.state.config.STT_MODEL = form_data.stt.MODEL
|
||||
request.app.state.config.WHISPER_MODEL = form_data.stt.WHISPER_MODEL
|
||||
request.app.state.config.DEEPGRAM_API_KEY = form_data.stt.DEEPGRAM_API_KEY
|
||||
|
||||
if request.app.state.config.STT_ENGINE == "":
|
||||
request.app.state.faster_whisper_model = set_faster_whisper_model(
|
||||
@@ -214,6 +218,7 @@ async def update_audio_config(
|
||||
"ENGINE": request.app.state.config.STT_ENGINE,
|
||||
"MODEL": request.app.state.config.STT_MODEL,
|
||||
"WHISPER_MODEL": request.app.state.config.WHISPER_MODEL,
|
||||
"DEEPGRAM_API_KEY": request.app.state.config.DEEPGRAM_API_KEY,
|
||||
},
|
||||
}
|
||||
|
||||
@@ -521,6 +526,69 @@ def transcribe(request: Request, file_path):
|
||||
|
||||
raise Exception(detail if detail else "Open WebUI: Server Connection Error")
|
||||
|
||||
elif request.app.state.config.STT_ENGINE == "deepgram":
|
||||
try:
|
||||
# Determine the MIME type of the file
|
||||
mime, _ = mimetypes.guess_type(file_path)
|
||||
if not mime:
|
||||
mime = "audio/wav" # fallback to wav if undetectable
|
||||
|
||||
# Read the audio file
|
||||
with open(file_path, "rb") as f:
|
||||
file_data = f.read()
|
||||
|
||||
# Build headers and parameters
|
||||
headers = {
|
||||
"Authorization": f"Token {request.app.state.config.DEEPGRAM_API_KEY}",
|
||||
"Content-Type": mime,
|
||||
}
|
||||
|
||||
# Add model if specified
|
||||
params = {}
|
||||
if request.app.state.config.STT_MODEL:
|
||||
params["model"] = request.app.state.config.STT_MODEL
|
||||
|
||||
# Make request to Deepgram API
|
||||
r = requests.post(
|
||||
"https://api.deepgram.com/v1/listen",
|
||||
headers=headers,
|
||||
params=params,
|
||||
data=file_data,
|
||||
)
|
||||
r.raise_for_status()
|
||||
response_data = r.json()
|
||||
|
||||
# Extract transcript from Deepgram response
|
||||
try:
|
||||
transcript = response_data["results"]["channels"][0]["alternatives"][
|
||||
0
|
||||
].get("transcript", "")
|
||||
except (KeyError, IndexError) as e:
|
||||
log.error(f"Malformed response from Deepgram: {str(e)}")
|
||||
raise Exception(
|
||||
"Failed to parse Deepgram response - unexpected response format"
|
||||
)
|
||||
data = {"text": transcript.strip()}
|
||||
|
||||
# Save transcript
|
||||
transcript_file = f"{file_dir}/{id}.json"
|
||||
with open(transcript_file, "w") as f:
|
||||
json.dump(data, f)
|
||||
|
||||
return data
|
||||
|
||||
except Exception as e:
|
||||
log.exception(e)
|
||||
detail = None
|
||||
if r is not None:
|
||||
try:
|
||||
res = r.json()
|
||||
if "error" in res:
|
||||
detail = f"External: {res['error'].get('message', '')}"
|
||||
except Exception:
|
||||
detail = f"External: {e}"
|
||||
raise Exception(detail if detail else "Open WebUI: Server Connection Error")
|
||||
|
||||
|
||||
def compress_audio(file_path):
|
||||
if os.path.getsize(file_path) > MAX_FILE_SIZE:
|
||||
|
||||
@@ -25,8 +25,8 @@ from open_webui.env import (
|
||||
WEBUI_AUTH,
|
||||
WEBUI_AUTH_TRUSTED_EMAIL_HEADER,
|
||||
WEBUI_AUTH_TRUSTED_NAME_HEADER,
|
||||
WEBUI_SESSION_COOKIE_SAME_SITE,
|
||||
WEBUI_SESSION_COOKIE_SECURE,
|
||||
WEBUI_AUTH_COOKIE_SAME_SITE,
|
||||
WEBUI_AUTH_COOKIE_SECURE,
|
||||
SRC_LOG_LEVELS,
|
||||
)
|
||||
from fastapi import APIRouter, Depends, HTTPException, Request, status
|
||||
@@ -51,7 +51,7 @@ from open_webui.utils.access_control import get_permissions
|
||||
from typing import Optional, List
|
||||
|
||||
from ssl import CERT_REQUIRED, PROTOCOL_TLS
|
||||
from ldap3 import Server, Connection, ALL, Tls
|
||||
from ldap3 import Server, Connection, NONE, Tls
|
||||
from ldap3.utils.conv import escape_filter_chars
|
||||
|
||||
router = APIRouter()
|
||||
@@ -95,8 +95,8 @@ async def get_session_user(
|
||||
value=token,
|
||||
expires=datetime_expires_at,
|
||||
httponly=True, # Ensures the cookie is not accessible via JavaScript
|
||||
samesite=WEBUI_SESSION_COOKIE_SAME_SITE,
|
||||
secure=WEBUI_SESSION_COOKIE_SECURE,
|
||||
samesite=WEBUI_AUTH_COOKIE_SAME_SITE,
|
||||
secure=WEBUI_AUTH_COOKIE_SECURE,
|
||||
)
|
||||
|
||||
user_permissions = get_permissions(
|
||||
@@ -164,12 +164,13 @@ async def update_password(
|
||||
############################
|
||||
# LDAP Authentication
|
||||
############################
|
||||
@router.post("/ldap", response_model=SigninResponse)
|
||||
@router.post("/ldap", response_model=SessionUserResponse)
|
||||
async def ldap_auth(request: Request, response: Response, form_data: LdapForm):
|
||||
ENABLE_LDAP = request.app.state.config.ENABLE_LDAP
|
||||
LDAP_SERVER_LABEL = request.app.state.config.LDAP_SERVER_LABEL
|
||||
LDAP_SERVER_HOST = request.app.state.config.LDAP_SERVER_HOST
|
||||
LDAP_SERVER_PORT = request.app.state.config.LDAP_SERVER_PORT
|
||||
LDAP_ATTRIBUTE_FOR_MAIL = request.app.state.config.LDAP_ATTRIBUTE_FOR_MAIL
|
||||
LDAP_ATTRIBUTE_FOR_USERNAME = request.app.state.config.LDAP_ATTRIBUTE_FOR_USERNAME
|
||||
LDAP_SEARCH_BASE = request.app.state.config.LDAP_SEARCH_BASE
|
||||
LDAP_SEARCH_FILTERS = request.app.state.config.LDAP_SEARCH_FILTERS
|
||||
@@ -201,7 +202,7 @@ async def ldap_auth(request: Request, response: Response, form_data: LdapForm):
|
||||
server = Server(
|
||||
host=LDAP_SERVER_HOST,
|
||||
port=LDAP_SERVER_PORT,
|
||||
get_info=ALL,
|
||||
get_info=NONE,
|
||||
use_ssl=LDAP_USE_TLS,
|
||||
tls=tls,
|
||||
)
|
||||
@@ -218,7 +219,11 @@ async def ldap_auth(request: Request, response: Response, form_data: LdapForm):
|
||||
search_success = connection_app.search(
|
||||
search_base=LDAP_SEARCH_BASE,
|
||||
search_filter=f"(&({LDAP_ATTRIBUTE_FOR_USERNAME}={escape_filter_chars(form_data.user.lower())}){LDAP_SEARCH_FILTERS})",
|
||||
attributes=[f"{LDAP_ATTRIBUTE_FOR_USERNAME}", "mail", "cn"],
|
||||
attributes=[
|
||||
f"{LDAP_ATTRIBUTE_FOR_USERNAME}",
|
||||
f"{LDAP_ATTRIBUTE_FOR_MAIL}",
|
||||
"cn",
|
||||
],
|
||||
)
|
||||
|
||||
if not search_success:
|
||||
@@ -226,7 +231,9 @@ async def ldap_auth(request: Request, response: Response, form_data: LdapForm):
|
||||
|
||||
entry = connection_app.entries[0]
|
||||
username = str(entry[f"{LDAP_ATTRIBUTE_FOR_USERNAME}"]).lower()
|
||||
mail = str(entry["mail"])
|
||||
mail = str(entry[f"{LDAP_ATTRIBUTE_FOR_MAIL}"])
|
||||
if not mail or mail == "" or mail == "[]":
|
||||
raise HTTPException(400, f"User {form_data.user} does not have mail.")
|
||||
cn = str(entry["cn"])
|
||||
user_dn = entry.entry_dn
|
||||
|
||||
@@ -281,6 +288,10 @@ async def ldap_auth(request: Request, response: Response, form_data: LdapForm):
|
||||
httponly=True, # Ensures the cookie is not accessible via JavaScript
|
||||
)
|
||||
|
||||
user_permissions = get_permissions(
|
||||
user.id, request.app.state.config.USER_PERMISSIONS
|
||||
)
|
||||
|
||||
return {
|
||||
"token": token,
|
||||
"token_type": "Bearer",
|
||||
@@ -289,6 +300,7 @@ async def ldap_auth(request: Request, response: Response, form_data: LdapForm):
|
||||
"name": user.name,
|
||||
"role": user.role,
|
||||
"profile_image_url": user.profile_image_url,
|
||||
"permissions": user_permissions,
|
||||
}
|
||||
else:
|
||||
raise HTTPException(400, detail=ERROR_MESSAGES.INVALID_CRED)
|
||||
@@ -371,8 +383,8 @@ async def signin(request: Request, response: Response, form_data: SigninForm):
|
||||
value=token,
|
||||
expires=datetime_expires_at,
|
||||
httponly=True, # Ensures the cookie is not accessible via JavaScript
|
||||
samesite=WEBUI_SESSION_COOKIE_SAME_SITE,
|
||||
secure=WEBUI_SESSION_COOKIE_SECURE,
|
||||
samesite=WEBUI_AUTH_COOKIE_SAME_SITE,
|
||||
secure=WEBUI_AUTH_COOKIE_SECURE,
|
||||
)
|
||||
|
||||
user_permissions = get_permissions(
|
||||
@@ -466,8 +478,8 @@ async def signup(request: Request, response: Response, form_data: SignupForm):
|
||||
value=token,
|
||||
expires=datetime_expires_at,
|
||||
httponly=True, # Ensures the cookie is not accessible via JavaScript
|
||||
samesite=WEBUI_SESSION_COOKIE_SAME_SITE,
|
||||
secure=WEBUI_SESSION_COOKIE_SECURE,
|
||||
samesite=WEBUI_AUTH_COOKIE_SAME_SITE,
|
||||
secure=WEBUI_AUTH_COOKIE_SECURE,
|
||||
)
|
||||
|
||||
if request.app.state.config.WEBHOOK_URL:
|
||||
@@ -691,6 +703,7 @@ class LdapServerConfig(BaseModel):
|
||||
label: str
|
||||
host: str
|
||||
port: Optional[int] = None
|
||||
attribute_for_mail: str = "mail"
|
||||
attribute_for_username: str = "uid"
|
||||
app_dn: str
|
||||
app_dn_password: str
|
||||
@@ -707,6 +720,7 @@ async def get_ldap_server(request: Request, user=Depends(get_admin_user)):
|
||||
"label": request.app.state.config.LDAP_SERVER_LABEL,
|
||||
"host": request.app.state.config.LDAP_SERVER_HOST,
|
||||
"port": request.app.state.config.LDAP_SERVER_PORT,
|
||||
"attribute_for_mail": request.app.state.config.LDAP_ATTRIBUTE_FOR_MAIL,
|
||||
"attribute_for_username": request.app.state.config.LDAP_ATTRIBUTE_FOR_USERNAME,
|
||||
"app_dn": request.app.state.config.LDAP_APP_DN,
|
||||
"app_dn_password": request.app.state.config.LDAP_APP_PASSWORD,
|
||||
@@ -725,6 +739,7 @@ async def update_ldap_server(
|
||||
required_fields = [
|
||||
"label",
|
||||
"host",
|
||||
"attribute_for_mail",
|
||||
"attribute_for_username",
|
||||
"app_dn",
|
||||
"app_dn_password",
|
||||
@@ -743,6 +758,7 @@ async def update_ldap_server(
|
||||
request.app.state.config.LDAP_SERVER_LABEL = form_data.label
|
||||
request.app.state.config.LDAP_SERVER_HOST = form_data.host
|
||||
request.app.state.config.LDAP_SERVER_PORT = form_data.port
|
||||
request.app.state.config.LDAP_ATTRIBUTE_FOR_MAIL = form_data.attribute_for_mail
|
||||
request.app.state.config.LDAP_ATTRIBUTE_FOR_USERNAME = (
|
||||
form_data.attribute_for_username
|
||||
)
|
||||
@@ -758,6 +774,7 @@ async def update_ldap_server(
|
||||
"label": request.app.state.config.LDAP_SERVER_LABEL,
|
||||
"host": request.app.state.config.LDAP_SERVER_HOST,
|
||||
"port": request.app.state.config.LDAP_SERVER_PORT,
|
||||
"attribute_for_mail": request.app.state.config.LDAP_ATTRIBUTE_FOR_MAIL,
|
||||
"attribute_for_username": request.app.state.config.LDAP_ATTRIBUTE_FOR_USERNAME,
|
||||
"app_dn": request.app.state.config.LDAP_APP_DN,
|
||||
"app_dn_password": request.app.state.config.LDAP_APP_PASSWORD,
|
||||
|
||||
@@ -444,15 +444,21 @@ async def pin_chat_by_id(id: str, user=Depends(get_verified_user)):
|
||||
############################
|
||||
|
||||
|
||||
class CloneForm(BaseModel):
|
||||
title: Optional[str] = None
|
||||
|
||||
|
||||
@router.post("/{id}/clone", response_model=Optional[ChatResponse])
|
||||
async def clone_chat_by_id(id: str, user=Depends(get_verified_user)):
|
||||
async def clone_chat_by_id(
|
||||
form_data: CloneForm, id: str, user=Depends(get_verified_user)
|
||||
):
|
||||
chat = Chats.get_chat_by_id_and_user_id(id, user.id)
|
||||
if chat:
|
||||
updated_chat = {
|
||||
**chat.chat,
|
||||
"originalChatId": chat.id,
|
||||
"branchPointMessageId": chat.chat["history"]["currentId"],
|
||||
"title": f"Clone of {chat.title}",
|
||||
"title": form_data.title if form_data.title else f"Clone of {chat.title}",
|
||||
}
|
||||
|
||||
chat = Chats.insert_new_chat(user.id, ChatForm(**{"chat": updated_chat}))
|
||||
|
||||
@@ -36,6 +36,98 @@ async def export_config(user=Depends(get_admin_user)):
|
||||
return get_config()
|
||||
|
||||
|
||||
############################
|
||||
# Direct Connections Config
|
||||
############################
|
||||
|
||||
|
||||
class DirectConnectionsConfigForm(BaseModel):
|
||||
ENABLE_DIRECT_CONNECTIONS: bool
|
||||
|
||||
|
||||
@router.get("/direct_connections", response_model=DirectConnectionsConfigForm)
|
||||
async def get_direct_connections_config(request: Request, user=Depends(get_admin_user)):
|
||||
return {
|
||||
"ENABLE_DIRECT_CONNECTIONS": request.app.state.config.ENABLE_DIRECT_CONNECTIONS,
|
||||
}
|
||||
|
||||
|
||||
@router.post("/direct_connections", response_model=DirectConnectionsConfigForm)
|
||||
async def set_direct_connections_config(
|
||||
request: Request,
|
||||
form_data: DirectConnectionsConfigForm,
|
||||
user=Depends(get_admin_user),
|
||||
):
|
||||
request.app.state.config.ENABLE_DIRECT_CONNECTIONS = (
|
||||
form_data.ENABLE_DIRECT_CONNECTIONS
|
||||
)
|
||||
return {
|
||||
"ENABLE_DIRECT_CONNECTIONS": request.app.state.config.ENABLE_DIRECT_CONNECTIONS,
|
||||
}
|
||||
|
||||
|
||||
############################
|
||||
# CodeInterpreterConfig
|
||||
############################
|
||||
class CodeInterpreterConfigForm(BaseModel):
|
||||
ENABLE_CODE_INTERPRETER: bool
|
||||
CODE_INTERPRETER_ENGINE: str
|
||||
CODE_INTERPRETER_PROMPT_TEMPLATE: Optional[str]
|
||||
CODE_INTERPRETER_JUPYTER_URL: Optional[str]
|
||||
CODE_INTERPRETER_JUPYTER_AUTH: Optional[str]
|
||||
CODE_INTERPRETER_JUPYTER_AUTH_TOKEN: Optional[str]
|
||||
CODE_INTERPRETER_JUPYTER_AUTH_PASSWORD: Optional[str]
|
||||
|
||||
|
||||
@router.get("/code_interpreter", response_model=CodeInterpreterConfigForm)
|
||||
async def get_code_interpreter_config(request: Request, user=Depends(get_admin_user)):
|
||||
return {
|
||||
"ENABLE_CODE_INTERPRETER": request.app.state.config.ENABLE_CODE_INTERPRETER,
|
||||
"CODE_INTERPRETER_ENGINE": request.app.state.config.CODE_INTERPRETER_ENGINE,
|
||||
"CODE_INTERPRETER_PROMPT_TEMPLATE": request.app.state.config.CODE_INTERPRETER_PROMPT_TEMPLATE,
|
||||
"CODE_INTERPRETER_JUPYTER_URL": request.app.state.config.CODE_INTERPRETER_JUPYTER_URL,
|
||||
"CODE_INTERPRETER_JUPYTER_AUTH": request.app.state.config.CODE_INTERPRETER_JUPYTER_AUTH,
|
||||
"CODE_INTERPRETER_JUPYTER_AUTH_TOKEN": request.app.state.config.CODE_INTERPRETER_JUPYTER_AUTH_TOKEN,
|
||||
"CODE_INTERPRETER_JUPYTER_AUTH_PASSWORD": request.app.state.config.CODE_INTERPRETER_JUPYTER_AUTH_PASSWORD,
|
||||
}
|
||||
|
||||
|
||||
@router.post("/code_interpreter", response_model=CodeInterpreterConfigForm)
|
||||
async def set_code_interpreter_config(
|
||||
request: Request, form_data: CodeInterpreterConfigForm, user=Depends(get_admin_user)
|
||||
):
|
||||
request.app.state.config.ENABLE_CODE_INTERPRETER = form_data.ENABLE_CODE_INTERPRETER
|
||||
request.app.state.config.CODE_INTERPRETER_ENGINE = form_data.CODE_INTERPRETER_ENGINE
|
||||
request.app.state.config.CODE_INTERPRETER_PROMPT_TEMPLATE = (
|
||||
form_data.CODE_INTERPRETER_PROMPT_TEMPLATE
|
||||
)
|
||||
|
||||
request.app.state.config.CODE_INTERPRETER_JUPYTER_URL = (
|
||||
form_data.CODE_INTERPRETER_JUPYTER_URL
|
||||
)
|
||||
|
||||
request.app.state.config.CODE_INTERPRETER_JUPYTER_AUTH = (
|
||||
form_data.CODE_INTERPRETER_JUPYTER_AUTH
|
||||
)
|
||||
|
||||
request.app.state.config.CODE_INTERPRETER_JUPYTER_AUTH_TOKEN = (
|
||||
form_data.CODE_INTERPRETER_JUPYTER_AUTH_TOKEN
|
||||
)
|
||||
request.app.state.config.CODE_INTERPRETER_JUPYTER_AUTH_PASSWORD = (
|
||||
form_data.CODE_INTERPRETER_JUPYTER_AUTH_PASSWORD
|
||||
)
|
||||
|
||||
return {
|
||||
"ENABLE_CODE_INTERPRETER": request.app.state.config.ENABLE_CODE_INTERPRETER,
|
||||
"CODE_INTERPRETER_ENGINE": request.app.state.config.CODE_INTERPRETER_ENGINE,
|
||||
"CODE_INTERPRETER_PROMPT_TEMPLATE": request.app.state.config.CODE_INTERPRETER_PROMPT_TEMPLATE,
|
||||
"CODE_INTERPRETER_JUPYTER_URL": request.app.state.config.CODE_INTERPRETER_JUPYTER_URL,
|
||||
"CODE_INTERPRETER_JUPYTER_AUTH": request.app.state.config.CODE_INTERPRETER_JUPYTER_AUTH,
|
||||
"CODE_INTERPRETER_JUPYTER_AUTH_TOKEN": request.app.state.config.CODE_INTERPRETER_JUPYTER_AUTH_TOKEN,
|
||||
"CODE_INTERPRETER_JUPYTER_AUTH_PASSWORD": request.app.state.config.CODE_INTERPRETER_JUPYTER_AUTH_PASSWORD,
|
||||
}
|
||||
|
||||
|
||||
############################
|
||||
# SetDefaultModels
|
||||
############################
|
||||
|
||||
@@ -3,30 +3,22 @@ import os
|
||||
import uuid
|
||||
from pathlib import Path
|
||||
from typing import Optional
|
||||
from pydantic import BaseModel
|
||||
import mimetypes
|
||||
from urllib.parse import quote
|
||||
|
||||
from open_webui.storage.provider import Storage
|
||||
|
||||
from fastapi import APIRouter, Depends, File, HTTPException, Request, UploadFile, status
|
||||
from fastapi.responses import FileResponse, StreamingResponse
|
||||
from open_webui.constants import ERROR_MESSAGES
|
||||
from open_webui.env import SRC_LOG_LEVELS
|
||||
from open_webui.models.files import (
|
||||
FileForm,
|
||||
FileModel,
|
||||
FileModelResponse,
|
||||
Files,
|
||||
)
|
||||
from open_webui.routers.retrieval import process_file, ProcessFileForm
|
||||
|
||||
from open_webui.config import UPLOAD_DIR
|
||||
from open_webui.env import SRC_LOG_LEVELS
|
||||
from open_webui.constants import ERROR_MESSAGES
|
||||
|
||||
|
||||
from fastapi import APIRouter, Depends, File, HTTPException, UploadFile, status, Request
|
||||
from fastapi.responses import FileResponse, StreamingResponse
|
||||
|
||||
|
||||
from open_webui.routers.retrieval import ProcessFileForm, process_file
|
||||
from open_webui.storage.provider import Storage
|
||||
from open_webui.utils.auth import get_admin_user, get_verified_user
|
||||
from pydantic import BaseModel
|
||||
|
||||
log = logging.getLogger(__name__)
|
||||
log.setLevel(SRC_LOG_LEVELS["MODELS"])
|
||||
@@ -41,7 +33,10 @@ router = APIRouter()
|
||||
|
||||
@router.post("/", response_model=FileModelResponse)
|
||||
def upload_file(
|
||||
request: Request, file: UploadFile = File(...), user=Depends(get_verified_user)
|
||||
request: Request,
|
||||
file: UploadFile = File(...),
|
||||
user=Depends(get_verified_user),
|
||||
file_metadata: dict = {},
|
||||
):
|
||||
log.info(f"file.content_type: {file.content_type}")
|
||||
try:
|
||||
@@ -65,13 +60,14 @@ def upload_file(
|
||||
"name": name,
|
||||
"content_type": file.content_type,
|
||||
"size": len(contents),
|
||||
"data": file_metadata,
|
||||
},
|
||||
}
|
||||
),
|
||||
)
|
||||
|
||||
try:
|
||||
process_file(request, ProcessFileForm(file_id=id))
|
||||
process_file(request, ProcessFileForm(file_id=id), user=user)
|
||||
file_item = Files.get_file_by_id(id=id)
|
||||
except Exception as e:
|
||||
log.exception(e)
|
||||
@@ -126,7 +122,7 @@ async def delete_all_files(user=Depends(get_admin_user)):
|
||||
Storage.delete_all_files()
|
||||
except Exception as e:
|
||||
log.exception(e)
|
||||
log.error(f"Error deleting files")
|
||||
log.error("Error deleting files")
|
||||
raise HTTPException(
|
||||
status_code=status.HTTP_400_BAD_REQUEST,
|
||||
detail=ERROR_MESSAGES.DEFAULT("Error deleting files"),
|
||||
@@ -193,7 +189,9 @@ async def update_file_data_content_by_id(
|
||||
if file and (file.user_id == user.id or user.role == "admin"):
|
||||
try:
|
||||
process_file(
|
||||
request, ProcessFileForm(file_id=id, content=form_data.content)
|
||||
request,
|
||||
ProcessFileForm(file_id=id, content=form_data.content),
|
||||
user=user,
|
||||
)
|
||||
file = Files.get_file_by_id(id=id)
|
||||
except Exception as e:
|
||||
@@ -246,7 +244,7 @@ async def get_file_content_by_id(id: str, user=Depends(get_verified_user)):
|
||||
)
|
||||
except Exception as e:
|
||||
log.exception(e)
|
||||
log.error(f"Error getting file content")
|
||||
log.error("Error getting file content")
|
||||
raise HTTPException(
|
||||
status_code=status.HTTP_400_BAD_REQUEST,
|
||||
detail=ERROR_MESSAGES.DEFAULT("Error getting file content"),
|
||||
@@ -277,7 +275,7 @@ async def get_html_file_content_by_id(id: str, user=Depends(get_verified_user)):
|
||||
)
|
||||
except Exception as e:
|
||||
log.exception(e)
|
||||
log.error(f"Error getting file content")
|
||||
log.error("Error getting file content")
|
||||
raise HTTPException(
|
||||
status_code=status.HTTP_400_BAD_REQUEST,
|
||||
detail=ERROR_MESSAGES.DEFAULT("Error getting file content"),
|
||||
@@ -345,13 +343,15 @@ async def get_file_content_by_id(id: str, user=Depends(get_verified_user)):
|
||||
async def delete_file_by_id(id: str, user=Depends(get_verified_user)):
|
||||
file = Files.get_file_by_id(id)
|
||||
if file and (file.user_id == user.id or user.role == "admin"):
|
||||
# We should add Chroma cleanup here
|
||||
|
||||
result = Files.delete_file_by_id(id)
|
||||
if result:
|
||||
try:
|
||||
Storage.delete_file(file.path)
|
||||
except Exception as e:
|
||||
log.exception(e)
|
||||
log.error(f"Error deleting files")
|
||||
log.error("Error deleting files")
|
||||
raise HTTPException(
|
||||
status_code=status.HTTP_400_BAD_REQUEST,
|
||||
detail=ERROR_MESSAGES.DEFAULT("Error deleting files"),
|
||||
|
||||
@@ -2,6 +2,8 @@ import os
|
||||
from pathlib import Path
|
||||
from typing import Optional
|
||||
|
||||
|
||||
from open_webui.models.users import Users
|
||||
from open_webui.models.groups import (
|
||||
Groups,
|
||||
GroupForm,
|
||||
@@ -80,6 +82,9 @@ async def update_group_by_id(
|
||||
id: str, form_data: GroupUpdateForm, user=Depends(get_admin_user)
|
||||
):
|
||||
try:
|
||||
if form_data.user_ids:
|
||||
form_data.user_ids = Users.get_valid_user_ids(form_data.user_ids)
|
||||
|
||||
group = Groups.update_group_by_id(id, form_data)
|
||||
if group:
|
||||
return group
|
||||
|
||||
@@ -1,32 +1,26 @@
|
||||
import asyncio
|
||||
import base64
|
||||
import io
|
||||
import json
|
||||
import logging
|
||||
import mimetypes
|
||||
import re
|
||||
import uuid
|
||||
from pathlib import Path
|
||||
from typing import Optional
|
||||
|
||||
import requests
|
||||
|
||||
|
||||
from fastapi import Depends, FastAPI, HTTPException, Request, APIRouter
|
||||
from fastapi.middleware.cors import CORSMiddleware
|
||||
from pydantic import BaseModel
|
||||
|
||||
|
||||
from fastapi import APIRouter, Depends, HTTPException, Request, UploadFile
|
||||
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
|
||||
|
||||
from open_webui.env import ENABLE_FORWARD_USER_INFO_HEADERS, SRC_LOG_LEVELS
|
||||
from open_webui.routers.files import upload_file
|
||||
from open_webui.utils.auth import get_admin_user, get_verified_user
|
||||
from open_webui.utils.images.comfyui import (
|
||||
ComfyUIGenerateImageForm,
|
||||
ComfyUIWorkflow,
|
||||
comfyui_generate_image,
|
||||
)
|
||||
|
||||
from pydantic import BaseModel
|
||||
|
||||
log = logging.getLogger(__name__)
|
||||
log.setLevel(SRC_LOG_LEVELS["IMAGES"])
|
||||
@@ -43,6 +37,7 @@ async def get_config(request: Request, user=Depends(get_admin_user)):
|
||||
return {
|
||||
"enabled": request.app.state.config.ENABLE_IMAGE_GENERATION,
|
||||
"engine": request.app.state.config.IMAGE_GENERATION_ENGINE,
|
||||
"prompt_generation": request.app.state.config.ENABLE_IMAGE_PROMPT_GENERATION,
|
||||
"openai": {
|
||||
"OPENAI_API_BASE_URL": request.app.state.config.IMAGES_OPENAI_API_BASE_URL,
|
||||
"OPENAI_API_KEY": request.app.state.config.IMAGES_OPENAI_API_KEY,
|
||||
@@ -86,6 +81,7 @@ class ComfyUIConfigForm(BaseModel):
|
||||
class ConfigForm(BaseModel):
|
||||
enabled: bool
|
||||
engine: str
|
||||
prompt_generation: bool
|
||||
openai: OpenAIConfigForm
|
||||
automatic1111: Automatic1111ConfigForm
|
||||
comfyui: ComfyUIConfigForm
|
||||
@@ -98,6 +94,10 @@ async def update_config(
|
||||
request.app.state.config.IMAGE_GENERATION_ENGINE = form_data.engine
|
||||
request.app.state.config.ENABLE_IMAGE_GENERATION = form_data.enabled
|
||||
|
||||
request.app.state.config.ENABLE_IMAGE_PROMPT_GENERATION = (
|
||||
form_data.prompt_generation
|
||||
)
|
||||
|
||||
request.app.state.config.IMAGES_OPENAI_API_BASE_URL = (
|
||||
form_data.openai.OPENAI_API_BASE_URL
|
||||
)
|
||||
@@ -137,6 +137,7 @@ async def update_config(
|
||||
return {
|
||||
"enabled": request.app.state.config.ENABLE_IMAGE_GENERATION,
|
||||
"engine": request.app.state.config.IMAGE_GENERATION_ENGINE,
|
||||
"prompt_generation": request.app.state.config.ENABLE_IMAGE_PROMPT_GENERATION,
|
||||
"openai": {
|
||||
"OPENAI_API_BASE_URL": request.app.state.config.IMAGES_OPENAI_API_BASE_URL,
|
||||
"OPENAI_API_KEY": request.app.state.config.IMAGES_OPENAI_API_KEY,
|
||||
@@ -264,7 +265,6 @@ async def get_image_config(request: Request, user=Depends(get_admin_user)):
|
||||
async def update_image_config(
|
||||
request: Request, form_data: ImageConfigForm, user=Depends(get_admin_user)
|
||||
):
|
||||
|
||||
set_image_model(request, form_data.MODEL)
|
||||
|
||||
pattern = r"^\d+x\d+$"
|
||||
@@ -376,57 +376,32 @@ class GenerateImageForm(BaseModel):
|
||||
negative_prompt: Optional[str] = None
|
||||
|
||||
|
||||
def save_b64_image(b64_str):
|
||||
def load_b64_image_data(b64_str):
|
||||
try:
|
||||
image_id = str(uuid.uuid4())
|
||||
|
||||
if "," in b64_str:
|
||||
header, encoded = b64_str.split(",", 1)
|
||||
mime_type = header.split(";")[0]
|
||||
|
||||
img_data = base64.b64decode(encoded)
|
||||
image_format = mimetypes.guess_extension(mime_type)
|
||||
|
||||
image_filename = f"{image_id}{image_format}"
|
||||
file_path = IMAGE_CACHE_DIR / f"{image_filename}"
|
||||
with open(file_path, "wb") as f:
|
||||
f.write(img_data)
|
||||
return image_filename
|
||||
else:
|
||||
image_filename = f"{image_id}.png"
|
||||
file_path = IMAGE_CACHE_DIR.joinpath(image_filename)
|
||||
|
||||
mime_type = "image/png"
|
||||
img_data = base64.b64decode(b64_str)
|
||||
|
||||
# Write the image data to a file
|
||||
with open(file_path, "wb") as f:
|
||||
f.write(img_data)
|
||||
return image_filename
|
||||
|
||||
return img_data, mime_type
|
||||
except Exception as e:
|
||||
log.exception(f"Error saving image: {e}")
|
||||
log.exception(f"Error loading image data: {e}")
|
||||
return None
|
||||
|
||||
|
||||
def save_url_image(url):
|
||||
image_id = str(uuid.uuid4())
|
||||
def load_url_image_data(url, headers=None):
|
||||
try:
|
||||
r = requests.get(url)
|
||||
if headers:
|
||||
r = requests.get(url, headers=headers)
|
||||
else:
|
||||
r = requests.get(url)
|
||||
|
||||
r.raise_for_status()
|
||||
if r.headers["content-type"].split("/")[0] == "image":
|
||||
mime_type = r.headers["content-type"]
|
||||
image_format = mimetypes.guess_extension(mime_type)
|
||||
|
||||
if not image_format:
|
||||
raise ValueError("Could not determine image type from MIME type")
|
||||
|
||||
image_filename = f"{image_id}{image_format}"
|
||||
|
||||
file_path = IMAGE_CACHE_DIR.joinpath(f"{image_filename}")
|
||||
with open(file_path, "wb") as image_file:
|
||||
for chunk in r.iter_content(chunk_size=8192):
|
||||
image_file.write(chunk)
|
||||
return image_filename
|
||||
return r.content, mime_type
|
||||
else:
|
||||
log.error("Url does not point to an image.")
|
||||
return None
|
||||
@@ -436,6 +411,20 @@ def save_url_image(url):
|
||||
return None
|
||||
|
||||
|
||||
def upload_image(request, image_metadata, image_data, content_type, user):
|
||||
image_format = mimetypes.guess_extension(content_type)
|
||||
file = UploadFile(
|
||||
file=io.BytesIO(image_data),
|
||||
filename=f"generated-image{image_format}", # will be converted to a unique ID on upload_file
|
||||
headers={
|
||||
"content-type": content_type,
|
||||
},
|
||||
)
|
||||
file_item = upload_file(request, file, user, file_metadata=image_metadata)
|
||||
url = request.app.url_path_for("get_file_content_by_id", id=file_item.id)
|
||||
return url
|
||||
|
||||
|
||||
@router.post("/generations")
|
||||
async def image_generations(
|
||||
request: Request,
|
||||
@@ -489,13 +478,9 @@ async def image_generations(
|
||||
images = []
|
||||
|
||||
for image in res["data"]:
|
||||
image_filename = save_b64_image(image["b64_json"])
|
||||
images.append({"url": f"/cache/image/generations/{image_filename}"})
|
||||
file_body_path = IMAGE_CACHE_DIR.joinpath(f"{image_filename}.json")
|
||||
|
||||
with open(file_body_path, "w") as f:
|
||||
json.dump(data, f)
|
||||
|
||||
image_data, content_type = load_b64_image_data(image["b64_json"])
|
||||
url = upload_image(request, data, image_data, content_type, user)
|
||||
images.append({"url": url})
|
||||
return images
|
||||
|
||||
elif request.app.state.config.IMAGE_GENERATION_ENGINE == "comfyui":
|
||||
@@ -535,14 +520,21 @@ async def image_generations(
|
||||
images = []
|
||||
|
||||
for image in res["data"]:
|
||||
image_filename = save_url_image(image["url"])
|
||||
images.append({"url": f"/cache/image/generations/{image_filename}"})
|
||||
file_body_path = IMAGE_CACHE_DIR.joinpath(f"{image_filename}.json")
|
||||
headers = None
|
||||
if request.app.state.config.COMFYUI_API_KEY:
|
||||
headers = {
|
||||
"Authorization": f"Bearer {request.app.state.config.COMFYUI_API_KEY}"
|
||||
}
|
||||
|
||||
with open(file_body_path, "w") as f:
|
||||
json.dump(form_data.model_dump(exclude_none=True), f)
|
||||
|
||||
log.debug(f"images: {images}")
|
||||
image_data, content_type = load_url_image_data(image["url"], headers)
|
||||
url = upload_image(
|
||||
request,
|
||||
form_data.model_dump(exclude_none=True),
|
||||
image_data,
|
||||
content_type,
|
||||
user,
|
||||
)
|
||||
images.append({"url": url})
|
||||
return images
|
||||
elif (
|
||||
request.app.state.config.IMAGE_GENERATION_ENGINE == "automatic1111"
|
||||
@@ -587,13 +579,15 @@ async def image_generations(
|
||||
images = []
|
||||
|
||||
for image in res["images"]:
|
||||
image_filename = save_b64_image(image)
|
||||
images.append({"url": f"/cache/image/generations/{image_filename}"})
|
||||
file_body_path = IMAGE_CACHE_DIR.joinpath(f"{image_filename}.json")
|
||||
|
||||
with open(file_body_path, "w") as f:
|
||||
json.dump({**data, "info": res["info"]}, f)
|
||||
|
||||
image_data, content_type = load_b64_image_data(image)
|
||||
url = upload_image(
|
||||
request,
|
||||
{**data, "info": res["info"]},
|
||||
image_data,
|
||||
content_type,
|
||||
user,
|
||||
)
|
||||
images.append({"url": url})
|
||||
return images
|
||||
except Exception as e:
|
||||
error = e
|
||||
|
||||
@@ -17,7 +17,7 @@ from open_webui.routers.retrieval import (
|
||||
process_files_batch,
|
||||
BatchProcessFilesForm,
|
||||
)
|
||||
|
||||
from open_webui.storage.provider import Storage
|
||||
|
||||
from open_webui.constants import ERROR_MESSAGES
|
||||
from open_webui.utils.auth import get_verified_user
|
||||
@@ -25,6 +25,7 @@ from open_webui.utils.access_control import has_access, has_permission
|
||||
|
||||
|
||||
from open_webui.env import SRC_LOG_LEVELS
|
||||
from open_webui.models.models import Models, ModelForm
|
||||
|
||||
|
||||
log = logging.getLogger(__name__)
|
||||
@@ -212,8 +213,12 @@ async def update_knowledge_by_id(
|
||||
status_code=status.HTTP_400_BAD_REQUEST,
|
||||
detail=ERROR_MESSAGES.NOT_FOUND,
|
||||
)
|
||||
|
||||
if knowledge.user_id != user.id and user.role != "admin":
|
||||
# Is the user the original creator, in a group with write access, or an admin
|
||||
if (
|
||||
knowledge.user_id != user.id
|
||||
and not has_access(user.id, "write", knowledge.access_control)
|
||||
and user.role != "admin"
|
||||
):
|
||||
raise HTTPException(
|
||||
status_code=status.HTTP_400_BAD_REQUEST,
|
||||
detail=ERROR_MESSAGES.ACCESS_PROHIBITED,
|
||||
@@ -259,7 +264,11 @@ def add_file_to_knowledge_by_id(
|
||||
detail=ERROR_MESSAGES.NOT_FOUND,
|
||||
)
|
||||
|
||||
if knowledge.user_id != user.id and user.role != "admin":
|
||||
if (
|
||||
knowledge.user_id != user.id
|
||||
and not has_access(user.id, "write", knowledge.access_control)
|
||||
and user.role != "admin"
|
||||
):
|
||||
raise HTTPException(
|
||||
status_code=status.HTTP_400_BAD_REQUEST,
|
||||
detail=ERROR_MESSAGES.ACCESS_PROHIBITED,
|
||||
@@ -280,7 +289,9 @@ def add_file_to_knowledge_by_id(
|
||||
# Add content to the vector database
|
||||
try:
|
||||
process_file(
|
||||
request, ProcessFileForm(file_id=form_data.file_id, collection_name=id)
|
||||
request,
|
||||
ProcessFileForm(file_id=form_data.file_id, collection_name=id),
|
||||
user=user,
|
||||
)
|
||||
except Exception as e:
|
||||
log.debug(e)
|
||||
@@ -337,7 +348,12 @@ def update_file_from_knowledge_by_id(
|
||||
detail=ERROR_MESSAGES.NOT_FOUND,
|
||||
)
|
||||
|
||||
if knowledge.user_id != user.id and user.role != "admin":
|
||||
if (
|
||||
knowledge.user_id != user.id
|
||||
and not has_access(user.id, "write", knowledge.access_control)
|
||||
and user.role != "admin"
|
||||
):
|
||||
|
||||
raise HTTPException(
|
||||
status_code=status.HTTP_400_BAD_REQUEST,
|
||||
detail=ERROR_MESSAGES.ACCESS_PROHIBITED,
|
||||
@@ -358,7 +374,9 @@ def update_file_from_knowledge_by_id(
|
||||
# Add content to the vector database
|
||||
try:
|
||||
process_file(
|
||||
request, ProcessFileForm(file_id=form_data.file_id, collection_name=id)
|
||||
request,
|
||||
ProcessFileForm(file_id=form_data.file_id, collection_name=id),
|
||||
user=user,
|
||||
)
|
||||
except Exception as e:
|
||||
raise HTTPException(
|
||||
@@ -401,7 +419,11 @@ def remove_file_from_knowledge_by_id(
|
||||
detail=ERROR_MESSAGES.NOT_FOUND,
|
||||
)
|
||||
|
||||
if knowledge.user_id != user.id and user.role != "admin":
|
||||
if (
|
||||
knowledge.user_id != user.id
|
||||
and not has_access(user.id, "write", knowledge.access_control)
|
||||
and user.role != "admin"
|
||||
):
|
||||
raise HTTPException(
|
||||
status_code=status.HTTP_400_BAD_REQUEST,
|
||||
detail=ERROR_MESSAGES.ACCESS_PROHIBITED,
|
||||
@@ -419,6 +441,14 @@ def remove_file_from_knowledge_by_id(
|
||||
collection_name=knowledge.id, filter={"file_id": form_data.file_id}
|
||||
)
|
||||
|
||||
# Remove the file's collection from vector database
|
||||
file_collection = f"file-{form_data.file_id}"
|
||||
if VECTOR_DB_CLIENT.has_collection(collection_name=file_collection):
|
||||
VECTOR_DB_CLIENT.delete_collection(collection_name=file_collection)
|
||||
|
||||
# Delete file from database
|
||||
Files.delete_file_by_id(form_data.file_id)
|
||||
|
||||
if knowledge:
|
||||
data = knowledge.data or {}
|
||||
file_ids = data.get("file_ids", [])
|
||||
@@ -467,12 +497,46 @@ async def delete_knowledge_by_id(id: str, user=Depends(get_verified_user)):
|
||||
detail=ERROR_MESSAGES.NOT_FOUND,
|
||||
)
|
||||
|
||||
if knowledge.user_id != user.id and user.role != "admin":
|
||||
if (
|
||||
knowledge.user_id != user.id
|
||||
and not has_access(user.id, "write", knowledge.access_control)
|
||||
and user.role != "admin"
|
||||
):
|
||||
raise HTTPException(
|
||||
status_code=status.HTTP_400_BAD_REQUEST,
|
||||
detail=ERROR_MESSAGES.ACCESS_PROHIBITED,
|
||||
)
|
||||
|
||||
log.info(f"Deleting knowledge base: {id} (name: {knowledge.name})")
|
||||
|
||||
# Get all models
|
||||
models = Models.get_all_models()
|
||||
log.info(f"Found {len(models)} models to check for knowledge base {id}")
|
||||
|
||||
# Update models that reference this knowledge base
|
||||
for model in models:
|
||||
if model.meta and hasattr(model.meta, "knowledge"):
|
||||
knowledge_list = model.meta.knowledge or []
|
||||
# Filter out the deleted knowledge base
|
||||
updated_knowledge = [k for k in knowledge_list if k.get("id") != id]
|
||||
|
||||
# If the knowledge list changed, update the model
|
||||
if len(updated_knowledge) != len(knowledge_list):
|
||||
log.info(f"Updating model {model.id} to remove knowledge base {id}")
|
||||
model.meta.knowledge = updated_knowledge
|
||||
# Create a ModelForm for the update
|
||||
model_form = ModelForm(
|
||||
id=model.id,
|
||||
name=model.name,
|
||||
base_model_id=model.base_model_id,
|
||||
meta=model.meta,
|
||||
params=model.params,
|
||||
access_control=model.access_control,
|
||||
is_active=model.is_active,
|
||||
)
|
||||
Models.update_model_by_id(model.id, model_form)
|
||||
|
||||
# Clean up vector DB
|
||||
try:
|
||||
VECTOR_DB_CLIENT.delete_collection(collection_name=id)
|
||||
except Exception as e:
|
||||
@@ -496,7 +560,11 @@ async def reset_knowledge_by_id(id: str, user=Depends(get_verified_user)):
|
||||
detail=ERROR_MESSAGES.NOT_FOUND,
|
||||
)
|
||||
|
||||
if knowledge.user_id != user.id and user.role != "admin":
|
||||
if (
|
||||
knowledge.user_id != user.id
|
||||
and not has_access(user.id, "write", knowledge.access_control)
|
||||
and user.role != "admin"
|
||||
):
|
||||
raise HTTPException(
|
||||
status_code=status.HTTP_400_BAD_REQUEST,
|
||||
detail=ERROR_MESSAGES.ACCESS_PROHIBITED,
|
||||
@@ -535,7 +603,11 @@ def add_files_to_knowledge_batch(
|
||||
detail=ERROR_MESSAGES.NOT_FOUND,
|
||||
)
|
||||
|
||||
if knowledge.user_id != user.id and user.role != "admin":
|
||||
if (
|
||||
knowledge.user_id != user.id
|
||||
and not has_access(user.id, "write", knowledge.access_control)
|
||||
and user.role != "admin"
|
||||
):
|
||||
raise HTTPException(
|
||||
status_code=status.HTTP_400_BAD_REQUEST,
|
||||
detail=ERROR_MESSAGES.ACCESS_PROHIBITED,
|
||||
|
||||
@@ -57,7 +57,7 @@ async def add_memory(
|
||||
{
|
||||
"id": memory.id,
|
||||
"text": memory.content,
|
||||
"vector": request.app.state.EMBEDDING_FUNCTION(memory.content),
|
||||
"vector": request.app.state.EMBEDDING_FUNCTION(memory.content, user),
|
||||
"metadata": {"created_at": memory.created_at},
|
||||
}
|
||||
],
|
||||
@@ -82,7 +82,7 @@ async def query_memory(
|
||||
):
|
||||
results = VECTOR_DB_CLIENT.search(
|
||||
collection_name=f"user-memory-{user.id}",
|
||||
vectors=[request.app.state.EMBEDDING_FUNCTION(form_data.content)],
|
||||
vectors=[request.app.state.EMBEDDING_FUNCTION(form_data.content, user)],
|
||||
limit=form_data.k,
|
||||
)
|
||||
|
||||
@@ -105,7 +105,7 @@ async def reset_memory_from_vector_db(
|
||||
{
|
||||
"id": memory.id,
|
||||
"text": memory.content,
|
||||
"vector": request.app.state.EMBEDDING_FUNCTION(memory.content),
|
||||
"vector": request.app.state.EMBEDDING_FUNCTION(memory.content, user),
|
||||
"metadata": {
|
||||
"created_at": memory.created_at,
|
||||
"updated_at": memory.updated_at,
|
||||
@@ -160,7 +160,9 @@ async def update_memory_by_id(
|
||||
{
|
||||
"id": memory.id,
|
||||
"text": memory.content,
|
||||
"vector": request.app.state.EMBEDDING_FUNCTION(memory.content),
|
||||
"vector": request.app.state.EMBEDDING_FUNCTION(
|
||||
memory.content, user
|
||||
),
|
||||
"metadata": {
|
||||
"created_at": memory.created_at,
|
||||
"updated_at": memory.updated_at,
|
||||
|
||||
@@ -155,6 +155,16 @@ async def update_model_by_id(
|
||||
detail=ERROR_MESSAGES.NOT_FOUND,
|
||||
)
|
||||
|
||||
if (
|
||||
model.user_id != user.id
|
||||
and not has_access(user.id, "write", model.access_control)
|
||||
and user.role != "admin"
|
||||
):
|
||||
raise HTTPException(
|
||||
status_code=status.HTTP_400_BAD_REQUEST,
|
||||
detail=ERROR_MESSAGES.ACCESS_PROHIBITED,
|
||||
)
|
||||
|
||||
model = Models.update_model_by_id(id, form_data)
|
||||
return model
|
||||
|
||||
@@ -173,7 +183,11 @@ async def delete_model_by_id(id: str, user=Depends(get_verified_user)):
|
||||
detail=ERROR_MESSAGES.NOT_FOUND,
|
||||
)
|
||||
|
||||
if model.user_id != user.id and user.role != "admin":
|
||||
if (
|
||||
user.role != "admin"
|
||||
and model.user_id != user.id
|
||||
and not has_access(user.id, "write", model.access_control)
|
||||
):
|
||||
raise HTTPException(
|
||||
status_code=status.HTTP_401_UNAUTHORIZED,
|
||||
detail=ERROR_MESSAGES.UNAUTHORIZED,
|
||||
|
||||
@@ -11,10 +11,8 @@ import re
|
||||
import time
|
||||
from typing import Optional, Union
|
||||
from urllib.parse import urlparse
|
||||
|
||||
import aiohttp
|
||||
from aiocache import cached
|
||||
|
||||
import requests
|
||||
|
||||
from fastapi import (
|
||||
@@ -152,10 +150,12 @@ async def send_post_request(
|
||||
)
|
||||
|
||||
|
||||
def get_api_key(url, configs):
|
||||
def get_api_key(idx, url, configs):
|
||||
parsed_url = urlparse(url)
|
||||
base_url = f"{parsed_url.scheme}://{parsed_url.netloc}"
|
||||
return configs.get(base_url, {}).get("key", None)
|
||||
return configs.get(str(idx), configs.get(base_url, {})).get(
|
||||
"key", None
|
||||
) # Legacy support
|
||||
|
||||
|
||||
##########################################
|
||||
@@ -238,11 +238,13 @@ async def update_config(
|
||||
request.app.state.config.OLLAMA_BASE_URLS = form_data.OLLAMA_BASE_URLS
|
||||
request.app.state.config.OLLAMA_API_CONFIGS = form_data.OLLAMA_API_CONFIGS
|
||||
|
||||
# Remove any extra configs
|
||||
config_urls = request.app.state.config.OLLAMA_API_CONFIGS.keys()
|
||||
for url in list(request.app.state.config.OLLAMA_BASE_URLS):
|
||||
if url not in config_urls:
|
||||
request.app.state.config.OLLAMA_API_CONFIGS.pop(url, None)
|
||||
# Remove the API configs that are not in the API URLS
|
||||
keys = list(map(str, range(len(request.app.state.config.OLLAMA_BASE_URLS))))
|
||||
request.app.state.config.OLLAMA_API_CONFIGS = {
|
||||
key: value
|
||||
for key, value in request.app.state.config.OLLAMA_API_CONFIGS.items()
|
||||
if key in keys
|
||||
}
|
||||
|
||||
return {
|
||||
"ENABLE_OLLAMA_API": request.app.state.config.ENABLE_OLLAMA_API,
|
||||
@@ -256,12 +258,19 @@ async def get_all_models(request: Request):
|
||||
log.info("get_all_models()")
|
||||
if request.app.state.config.ENABLE_OLLAMA_API:
|
||||
request_tasks = []
|
||||
|
||||
for idx, url in enumerate(request.app.state.config.OLLAMA_BASE_URLS):
|
||||
if url not in request.app.state.config.OLLAMA_API_CONFIGS:
|
||||
if (str(idx) not in request.app.state.config.OLLAMA_API_CONFIGS) and (
|
||||
url not in request.app.state.config.OLLAMA_API_CONFIGS # Legacy support
|
||||
):
|
||||
request_tasks.append(send_get_request(f"{url}/api/tags"))
|
||||
else:
|
||||
api_config = request.app.state.config.OLLAMA_API_CONFIGS.get(url, {})
|
||||
api_config = request.app.state.config.OLLAMA_API_CONFIGS.get(
|
||||
str(idx),
|
||||
request.app.state.config.OLLAMA_API_CONFIGS.get(
|
||||
url, {}
|
||||
), # Legacy support
|
||||
)
|
||||
|
||||
enable = api_config.get("enable", True)
|
||||
key = api_config.get("key", None)
|
||||
|
||||
@@ -275,7 +284,12 @@ async def get_all_models(request: Request):
|
||||
for idx, response in enumerate(responses):
|
||||
if response:
|
||||
url = request.app.state.config.OLLAMA_BASE_URLS[idx]
|
||||
api_config = request.app.state.config.OLLAMA_API_CONFIGS.get(url, {})
|
||||
api_config = request.app.state.config.OLLAMA_API_CONFIGS.get(
|
||||
str(idx),
|
||||
request.app.state.config.OLLAMA_API_CONFIGS.get(
|
||||
url, {}
|
||||
), # Legacy support
|
||||
)
|
||||
|
||||
prefix_id = api_config.get("prefix_id", None)
|
||||
model_ids = api_config.get("model_ids", [])
|
||||
@@ -349,7 +363,7 @@ async def get_ollama_tags(
|
||||
models = await get_all_models(request)
|
||||
else:
|
||||
url = request.app.state.config.OLLAMA_BASE_URLS[url_idx]
|
||||
key = get_api_key(url, request.app.state.config.OLLAMA_API_CONFIGS)
|
||||
key = get_api_key(url_idx, url, request.app.state.config.OLLAMA_API_CONFIGS)
|
||||
|
||||
r = None
|
||||
try:
|
||||
@@ -379,7 +393,7 @@ async def get_ollama_tags(
|
||||
)
|
||||
|
||||
if user.role == "user" and not BYPASS_MODEL_ACCESS_CONTROL:
|
||||
models["models"] = get_filtered_models(models, user)
|
||||
models["models"] = await get_filtered_models(models, user)
|
||||
|
||||
return models
|
||||
|
||||
@@ -393,11 +407,14 @@ async def get_ollama_versions(request: Request, url_idx: Optional[int] = None):
|
||||
request_tasks = [
|
||||
send_get_request(
|
||||
f"{url}/api/version",
|
||||
request.app.state.config.OLLAMA_API_CONFIGS.get(url, {}).get(
|
||||
"key", None
|
||||
),
|
||||
request.app.state.config.OLLAMA_API_CONFIGS.get(
|
||||
str(idx),
|
||||
request.app.state.config.OLLAMA_API_CONFIGS.get(
|
||||
url, {}
|
||||
), # Legacy support
|
||||
).get("key", None),
|
||||
)
|
||||
for url in request.app.state.config.OLLAMA_BASE_URLS
|
||||
for idx, url in enumerate(request.app.state.config.OLLAMA_BASE_URLS)
|
||||
]
|
||||
responses = await asyncio.gather(*request_tasks)
|
||||
responses = list(filter(lambda x: x is not None, responses))
|
||||
@@ -454,11 +471,14 @@ async def get_ollama_loaded_models(request: Request, user=Depends(get_verified_u
|
||||
request_tasks = [
|
||||
send_get_request(
|
||||
f"{url}/api/ps",
|
||||
request.app.state.config.OLLAMA_API_CONFIGS.get(url, {}).get(
|
||||
"key", None
|
||||
),
|
||||
request.app.state.config.OLLAMA_API_CONFIGS.get(
|
||||
str(idx),
|
||||
request.app.state.config.OLLAMA_API_CONFIGS.get(
|
||||
url, {}
|
||||
), # Legacy support
|
||||
).get("key", None),
|
||||
)
|
||||
for url in request.app.state.config.OLLAMA_BASE_URLS
|
||||
for idx, url in enumerate(request.app.state.config.OLLAMA_BASE_URLS)
|
||||
]
|
||||
responses = await asyncio.gather(*request_tasks)
|
||||
|
||||
@@ -488,7 +508,7 @@ async def pull_model(
|
||||
return await send_post_request(
|
||||
url=f"{url}/api/pull",
|
||||
payload=json.dumps(payload),
|
||||
key=get_api_key(url, request.app.state.config.OLLAMA_API_CONFIGS),
|
||||
key=get_api_key(url_idx, url, request.app.state.config.OLLAMA_API_CONFIGS),
|
||||
)
|
||||
|
||||
|
||||
@@ -524,16 +544,17 @@ async def push_model(
|
||||
return await send_post_request(
|
||||
url=f"{url}/api/push",
|
||||
payload=form_data.model_dump_json(exclude_none=True).encode(),
|
||||
key=get_api_key(url, request.app.state.config.OLLAMA_API_CONFIGS),
|
||||
key=get_api_key(url_idx, url, request.app.state.config.OLLAMA_API_CONFIGS),
|
||||
)
|
||||
|
||||
|
||||
class CreateModelForm(BaseModel):
|
||||
name: str
|
||||
modelfile: Optional[str] = None
|
||||
model: Optional[str] = None
|
||||
stream: Optional[bool] = None
|
||||
path: Optional[str] = None
|
||||
|
||||
model_config = ConfigDict(extra="allow")
|
||||
|
||||
|
||||
@router.post("/api/create")
|
||||
@router.post("/api/create/{url_idx}")
|
||||
@@ -549,7 +570,7 @@ async def create_model(
|
||||
return await send_post_request(
|
||||
url=f"{url}/api/create",
|
||||
payload=form_data.model_dump_json(exclude_none=True).encode(),
|
||||
key=get_api_key(url, request.app.state.config.OLLAMA_API_CONFIGS),
|
||||
key=get_api_key(url_idx, url, request.app.state.config.OLLAMA_API_CONFIGS),
|
||||
)
|
||||
|
||||
|
||||
@@ -579,7 +600,7 @@ async def copy_model(
|
||||
)
|
||||
|
||||
url = request.app.state.config.OLLAMA_BASE_URLS[url_idx]
|
||||
key = get_api_key(url, request.app.state.config.OLLAMA_API_CONFIGS)
|
||||
key = get_api_key(url_idx, url, request.app.state.config.OLLAMA_API_CONFIGS)
|
||||
|
||||
try:
|
||||
r = requests.request(
|
||||
@@ -634,7 +655,7 @@ async def delete_model(
|
||||
)
|
||||
|
||||
url = request.app.state.config.OLLAMA_BASE_URLS[url_idx]
|
||||
key = get_api_key(url, request.app.state.config.OLLAMA_API_CONFIGS)
|
||||
key = get_api_key(url_idx, url, request.app.state.config.OLLAMA_API_CONFIGS)
|
||||
|
||||
try:
|
||||
r = requests.request(
|
||||
@@ -684,7 +705,7 @@ async def show_model_info(
|
||||
url_idx = random.choice(models[form_data.name]["urls"])
|
||||
|
||||
url = request.app.state.config.OLLAMA_BASE_URLS[url_idx]
|
||||
key = get_api_key(url, request.app.state.config.OLLAMA_API_CONFIGS)
|
||||
key = get_api_key(url_idx, url, request.app.state.config.OLLAMA_API_CONFIGS)
|
||||
|
||||
try:
|
||||
r = requests.request(
|
||||
@@ -753,7 +774,7 @@ async def embed(
|
||||
)
|
||||
|
||||
url = request.app.state.config.OLLAMA_BASE_URLS[url_idx]
|
||||
key = get_api_key(url, request.app.state.config.OLLAMA_API_CONFIGS)
|
||||
key = get_api_key(url_idx, url, request.app.state.config.OLLAMA_API_CONFIGS)
|
||||
|
||||
try:
|
||||
r = requests.request(
|
||||
@@ -822,7 +843,7 @@ async def embeddings(
|
||||
)
|
||||
|
||||
url = request.app.state.config.OLLAMA_BASE_URLS[url_idx]
|
||||
key = get_api_key(url, request.app.state.config.OLLAMA_API_CONFIGS)
|
||||
key = get_api_key(url_idx, url, request.app.state.config.OLLAMA_API_CONFIGS)
|
||||
|
||||
try:
|
||||
r = requests.request(
|
||||
@@ -897,7 +918,10 @@ async def generate_completion(
|
||||
)
|
||||
|
||||
url = request.app.state.config.OLLAMA_BASE_URLS[url_idx]
|
||||
api_config = request.app.state.config.OLLAMA_API_CONFIGS.get(url, {})
|
||||
api_config = request.app.state.config.OLLAMA_API_CONFIGS.get(
|
||||
str(url_idx),
|
||||
request.app.state.config.OLLAMA_API_CONFIGS.get(url, {}), # Legacy support
|
||||
)
|
||||
|
||||
prefix_id = api_config.get("prefix_id", None)
|
||||
if prefix_id:
|
||||
@@ -906,13 +930,14 @@ async def generate_completion(
|
||||
return await send_post_request(
|
||||
url=f"{url}/api/generate",
|
||||
payload=form_data.model_dump_json(exclude_none=True).encode(),
|
||||
key=get_api_key(url, request.app.state.config.OLLAMA_API_CONFIGS),
|
||||
key=get_api_key(url_idx, url, request.app.state.config.OLLAMA_API_CONFIGS),
|
||||
)
|
||||
|
||||
|
||||
class ChatMessage(BaseModel):
|
||||
role: str
|
||||
content: str
|
||||
tool_calls: Optional[list[dict]] = None
|
||||
images: Optional[list[str]] = None
|
||||
|
||||
|
||||
@@ -924,6 +949,7 @@ class GenerateChatCompletionForm(BaseModel):
|
||||
template: Optional[str] = None
|
||||
stream: Optional[bool] = True
|
||||
keep_alive: Optional[Union[int, str]] = None
|
||||
tools: Optional[list[dict]] = None
|
||||
|
||||
|
||||
async def get_ollama_url(request: Request, model: str, url_idx: Optional[int] = None):
|
||||
@@ -936,7 +962,7 @@ async def get_ollama_url(request: Request, model: str, url_idx: Optional[int] =
|
||||
)
|
||||
url_idx = random.choice(models[model].get("urls", []))
|
||||
url = request.app.state.config.OLLAMA_BASE_URLS[url_idx]
|
||||
return url
|
||||
return url, url_idx
|
||||
|
||||
|
||||
@router.post("/api/chat")
|
||||
@@ -951,6 +977,7 @@ async def generate_chat_completion(
|
||||
if BYPASS_MODEL_ACCESS_CONTROL:
|
||||
bypass_filter = True
|
||||
|
||||
metadata = form_data.pop("metadata", None)
|
||||
try:
|
||||
form_data = GenerateChatCompletionForm(**form_data)
|
||||
except Exception as e:
|
||||
@@ -980,7 +1007,7 @@ async def generate_chat_completion(
|
||||
payload["options"] = apply_model_params_to_body_ollama(
|
||||
params, payload["options"]
|
||||
)
|
||||
payload = apply_model_system_prompt_to_body(params, payload, user)
|
||||
payload = apply_model_system_prompt_to_body(params, payload, metadata, user)
|
||||
|
||||
# Check if user has access to the model
|
||||
if not bypass_filter and user.role == "user":
|
||||
@@ -1004,8 +1031,11 @@ async def generate_chat_completion(
|
||||
if ":" not in payload["model"]:
|
||||
payload["model"] = f"{payload['model']}:latest"
|
||||
|
||||
url = await get_ollama_url(request, payload["model"], url_idx)
|
||||
api_config = request.app.state.config.OLLAMA_API_CONFIGS.get(url, {})
|
||||
url, url_idx = await get_ollama_url(request, payload["model"], url_idx)
|
||||
api_config = request.app.state.config.OLLAMA_API_CONFIGS.get(
|
||||
str(url_idx),
|
||||
request.app.state.config.OLLAMA_API_CONFIGS.get(url, {}), # Legacy support
|
||||
)
|
||||
|
||||
prefix_id = api_config.get("prefix_id", None)
|
||||
if prefix_id:
|
||||
@@ -1015,7 +1045,7 @@ async def generate_chat_completion(
|
||||
url=f"{url}/api/chat",
|
||||
payload=json.dumps(payload),
|
||||
stream=form_data.stream,
|
||||
key=get_api_key(url, request.app.state.config.OLLAMA_API_CONFIGS),
|
||||
key=get_api_key(url_idx, url, request.app.state.config.OLLAMA_API_CONFIGS),
|
||||
content_type="application/x-ndjson",
|
||||
)
|
||||
|
||||
@@ -1103,8 +1133,11 @@ async def generate_openai_completion(
|
||||
if ":" not in payload["model"]:
|
||||
payload["model"] = f"{payload['model']}:latest"
|
||||
|
||||
url = await get_ollama_url(request, payload["model"], url_idx)
|
||||
api_config = request.app.state.config.OLLAMA_API_CONFIGS.get(url, {})
|
||||
url, url_idx = await get_ollama_url(request, payload["model"], url_idx)
|
||||
api_config = request.app.state.config.OLLAMA_API_CONFIGS.get(
|
||||
str(url_idx),
|
||||
request.app.state.config.OLLAMA_API_CONFIGS.get(url, {}), # Legacy support
|
||||
)
|
||||
|
||||
prefix_id = api_config.get("prefix_id", None)
|
||||
|
||||
@@ -1115,7 +1148,7 @@ async def generate_openai_completion(
|
||||
url=f"{url}/v1/completions",
|
||||
payload=json.dumps(payload),
|
||||
stream=payload.get("stream", False),
|
||||
key=get_api_key(url, request.app.state.config.OLLAMA_API_CONFIGS),
|
||||
key=get_api_key(url_idx, url, request.app.state.config.OLLAMA_API_CONFIGS),
|
||||
)
|
||||
|
||||
|
||||
@@ -1127,6 +1160,8 @@ async def generate_openai_chat_completion(
|
||||
url_idx: Optional[int] = None,
|
||||
user=Depends(get_verified_user),
|
||||
):
|
||||
metadata = form_data.pop("metadata", None)
|
||||
|
||||
try:
|
||||
completion_form = OpenAIChatCompletionForm(**form_data)
|
||||
except Exception as e:
|
||||
@@ -1153,7 +1188,7 @@ async def generate_openai_chat_completion(
|
||||
|
||||
if params:
|
||||
payload = apply_model_params_to_body_openai(params, payload)
|
||||
payload = apply_model_system_prompt_to_body(params, payload, user)
|
||||
payload = apply_model_system_prompt_to_body(params, payload, metadata, user)
|
||||
|
||||
# Check if user has access to the model
|
||||
if user.role == "user":
|
||||
@@ -1177,8 +1212,11 @@ async def generate_openai_chat_completion(
|
||||
if ":" not in payload["model"]:
|
||||
payload["model"] = f"{payload['model']}:latest"
|
||||
|
||||
url = await get_ollama_url(request, payload["model"], url_idx)
|
||||
api_config = request.app.state.config.OLLAMA_API_CONFIGS.get(url, {})
|
||||
url, url_idx = await get_ollama_url(request, payload["model"], url_idx)
|
||||
api_config = request.app.state.config.OLLAMA_API_CONFIGS.get(
|
||||
str(url_idx),
|
||||
request.app.state.config.OLLAMA_API_CONFIGS.get(url, {}), # Legacy support
|
||||
)
|
||||
|
||||
prefix_id = api_config.get("prefix_id", None)
|
||||
if prefix_id:
|
||||
@@ -1188,7 +1226,7 @@ async def generate_openai_chat_completion(
|
||||
url=f"{url}/v1/chat/completions",
|
||||
payload=json.dumps(payload),
|
||||
stream=payload.get("stream", False),
|
||||
key=get_api_key(url, request.app.state.config.OLLAMA_API_CONFIGS),
|
||||
key=get_api_key(url_idx, url, request.app.state.config.OLLAMA_API_CONFIGS),
|
||||
)
|
||||
|
||||
|
||||
@@ -1370,9 +1408,10 @@ async def download_model(
|
||||
return None
|
||||
|
||||
|
||||
# TODO: Progress bar does not reflect size & duration of upload.
|
||||
@router.post("/models/upload")
|
||||
@router.post("/models/upload/{url_idx}")
|
||||
def upload_model(
|
||||
async def upload_model(
|
||||
request: Request,
|
||||
file: UploadFile = File(...),
|
||||
url_idx: Optional[int] = None,
|
||||
@@ -1381,59 +1420,85 @@ def upload_model(
|
||||
if url_idx is None:
|
||||
url_idx = 0
|
||||
ollama_url = request.app.state.config.OLLAMA_BASE_URLS[url_idx]
|
||||
file_path = os.path.join(UPLOAD_DIR, file.filename)
|
||||
os.makedirs(UPLOAD_DIR, exist_ok=True)
|
||||
|
||||
file_path = f"{UPLOAD_DIR}/{file.filename}"
|
||||
# --- P1: save file locally ---
|
||||
chunk_size = 1024 * 1024 * 2 # 2 MB chunks
|
||||
with open(file_path, "wb") as out_f:
|
||||
while True:
|
||||
chunk = file.file.read(chunk_size)
|
||||
# log.info(f"Chunk: {str(chunk)}") # DEBUG
|
||||
if not chunk:
|
||||
break
|
||||
out_f.write(chunk)
|
||||
|
||||
# Save file in chunks
|
||||
with open(file_path, "wb+") as f:
|
||||
for chunk in file.file:
|
||||
f.write(chunk)
|
||||
|
||||
def file_process_stream():
|
||||
async def file_process_stream():
|
||||
nonlocal ollama_url
|
||||
total_size = os.path.getsize(file_path)
|
||||
chunk_size = 1024 * 1024
|
||||
log.info(f"Total Model Size: {str(total_size)}") # DEBUG
|
||||
|
||||
# --- P2: SSE progress + calculate sha256 hash ---
|
||||
file_hash = calculate_sha256(file_path, chunk_size)
|
||||
log.info(f"Model Hash: {str(file_hash)}") # DEBUG
|
||||
try:
|
||||
with open(file_path, "rb") as f:
|
||||
total = 0
|
||||
done = False
|
||||
|
||||
while not done:
|
||||
chunk = f.read(chunk_size)
|
||||
if not chunk:
|
||||
done = True
|
||||
continue
|
||||
|
||||
total += len(chunk)
|
||||
progress = round((total / total_size) * 100, 2)
|
||||
|
||||
res = {
|
||||
bytes_read = 0
|
||||
while chunk := f.read(chunk_size):
|
||||
bytes_read += len(chunk)
|
||||
progress = round(bytes_read / total_size * 100, 2)
|
||||
data_msg = {
|
||||
"progress": progress,
|
||||
"total": total_size,
|
||||
"completed": total,
|
||||
"completed": bytes_read,
|
||||
}
|
||||
yield f"data: {json.dumps(res)}\n\n"
|
||||
yield f"data: {json.dumps(data_msg)}\n\n"
|
||||
|
||||
if done:
|
||||
f.seek(0)
|
||||
hashed = calculate_sha256(f)
|
||||
f.seek(0)
|
||||
# --- P3: Upload to ollama /api/blobs ---
|
||||
with open(file_path, "rb") as f:
|
||||
url = f"{ollama_url}/api/blobs/sha256:{file_hash}"
|
||||
response = requests.post(url, data=f)
|
||||
|
||||
url = f"{ollama_url}/api/blobs/sha256:{hashed}"
|
||||
response = requests.post(url, data=f)
|
||||
if response.ok:
|
||||
log.info(f"Uploaded to /api/blobs") # DEBUG
|
||||
# Remove local file
|
||||
os.remove(file_path)
|
||||
|
||||
if response.ok:
|
||||
res = {
|
||||
"done": done,
|
||||
"blob": f"sha256:{hashed}",
|
||||
"name": file.filename,
|
||||
}
|
||||
os.remove(file_path)
|
||||
yield f"data: {json.dumps(res)}\n\n"
|
||||
else:
|
||||
raise Exception(
|
||||
"Ollama: Could not create blob, Please try again."
|
||||
)
|
||||
# Create model in ollama
|
||||
model_name, ext = os.path.splitext(file.filename)
|
||||
log.info(f"Created Model: {model_name}") # DEBUG
|
||||
|
||||
create_payload = {
|
||||
"model": model_name,
|
||||
# Reference the file by its original name => the uploaded blob's digest
|
||||
"files": {file.filename: f"sha256:{file_hash}"},
|
||||
}
|
||||
log.info(f"Model Payload: {create_payload}") # DEBUG
|
||||
|
||||
# Call ollama /api/create
|
||||
# https://github.com/ollama/ollama/blob/main/docs/api.md#create-a-model
|
||||
create_resp = requests.post(
|
||||
url=f"{ollama_url}/api/create",
|
||||
headers={"Content-Type": "application/json"},
|
||||
data=json.dumps(create_payload),
|
||||
)
|
||||
|
||||
if create_resp.ok:
|
||||
log.info(f"API SUCCESS!") # DEBUG
|
||||
done_msg = {
|
||||
"done": True,
|
||||
"blob": f"sha256:{file_hash}",
|
||||
"name": file.filename,
|
||||
"model_created": model_name,
|
||||
}
|
||||
yield f"data: {json.dumps(done_msg)}\n\n"
|
||||
else:
|
||||
raise Exception(
|
||||
f"Failed to create model in Ollama. {create_resp.text}"
|
||||
)
|
||||
|
||||
else:
|
||||
raise Exception("Ollama: Could not create blob, Please try again.")
|
||||
|
||||
except Exception as e:
|
||||
res = {"error": str(e)}
|
||||
|
||||
@@ -75,9 +75,9 @@ async def cleanup_response(
|
||||
await session.close()
|
||||
|
||||
|
||||
def openai_o1_handler(payload):
|
||||
def openai_o1_o3_handler(payload):
|
||||
"""
|
||||
Handle O1 specific parameters
|
||||
Handle o1, o3 specific parameters
|
||||
"""
|
||||
if "max_tokens" in payload:
|
||||
# Remove "max_tokens" from the payload
|
||||
@@ -145,11 +145,13 @@ async def update_config(
|
||||
|
||||
request.app.state.config.OPENAI_API_CONFIGS = form_data.OPENAI_API_CONFIGS
|
||||
|
||||
# Remove any extra configs
|
||||
config_urls = request.app.state.config.OPENAI_API_CONFIGS.keys()
|
||||
for idx, url in enumerate(request.app.state.config.OPENAI_API_BASE_URLS):
|
||||
if url not in config_urls:
|
||||
request.app.state.config.OPENAI_API_CONFIGS.pop(url, None)
|
||||
# Remove the API configs that are not in the API URLS
|
||||
keys = list(map(str, range(len(request.app.state.config.OPENAI_API_BASE_URLS))))
|
||||
request.app.state.config.OPENAI_API_CONFIGS = {
|
||||
key: value
|
||||
for key, value in request.app.state.config.OPENAI_API_CONFIGS.items()
|
||||
if key in keys
|
||||
}
|
||||
|
||||
return {
|
||||
"ENABLE_OPENAI_API": request.app.state.config.ENABLE_OPENAI_API,
|
||||
@@ -264,14 +266,21 @@ async def get_all_models_responses(request: Request) -> list:
|
||||
|
||||
request_tasks = []
|
||||
for idx, url in enumerate(request.app.state.config.OPENAI_API_BASE_URLS):
|
||||
if url not in request.app.state.config.OPENAI_API_CONFIGS:
|
||||
if (str(idx) not in request.app.state.config.OPENAI_API_CONFIGS) and (
|
||||
url not in request.app.state.config.OPENAI_API_CONFIGS # Legacy support
|
||||
):
|
||||
request_tasks.append(
|
||||
send_get_request(
|
||||
f"{url}/models", request.app.state.config.OPENAI_API_KEYS[idx]
|
||||
)
|
||||
)
|
||||
else:
|
||||
api_config = request.app.state.config.OPENAI_API_CONFIGS.get(url, {})
|
||||
api_config = request.app.state.config.OPENAI_API_CONFIGS.get(
|
||||
str(idx),
|
||||
request.app.state.config.OPENAI_API_CONFIGS.get(
|
||||
url, {}
|
||||
), # Legacy support
|
||||
)
|
||||
|
||||
enable = api_config.get("enable", True)
|
||||
model_ids = api_config.get("model_ids", [])
|
||||
@@ -310,7 +319,12 @@ async def get_all_models_responses(request: Request) -> list:
|
||||
for idx, response in enumerate(responses):
|
||||
if response:
|
||||
url = request.app.state.config.OPENAI_API_BASE_URLS[idx]
|
||||
api_config = request.app.state.config.OPENAI_API_CONFIGS.get(url, {})
|
||||
api_config = request.app.state.config.OPENAI_API_CONFIGS.get(
|
||||
str(idx),
|
||||
request.app.state.config.OPENAI_API_CONFIGS.get(
|
||||
url, {}
|
||||
), # Legacy support
|
||||
)
|
||||
|
||||
prefix_id = api_config.get("prefix_id", None)
|
||||
|
||||
@@ -475,7 +489,7 @@ async def get_models(
|
||||
raise HTTPException(status_code=500, detail=error_detail)
|
||||
|
||||
if user.role == "user" and not BYPASS_MODEL_ACCESS_CONTROL:
|
||||
models["data"] = get_filtered_models(models, user)
|
||||
models["data"] = await get_filtered_models(models, user)
|
||||
|
||||
return models
|
||||
|
||||
@@ -537,9 +551,9 @@ async def generate_chat_completion(
|
||||
bypass_filter = True
|
||||
|
||||
idx = 0
|
||||
|
||||
payload = {**form_data}
|
||||
if "metadata" in payload:
|
||||
del payload["metadata"]
|
||||
metadata = payload.pop("metadata", None)
|
||||
|
||||
model_id = form_data.get("model")
|
||||
model_info = Models.get_model_by_id(model_id)
|
||||
@@ -552,7 +566,7 @@ async def generate_chat_completion(
|
||||
|
||||
params = model_info.params.model_dump()
|
||||
payload = apply_model_params_to_body_openai(params, payload)
|
||||
payload = apply_model_system_prompt_to_body(params, payload, user)
|
||||
payload = apply_model_system_prompt_to_body(params, payload, metadata, user)
|
||||
|
||||
# Check if user has access to the model
|
||||
if not bypass_filter and user.role == "user":
|
||||
@@ -573,6 +587,7 @@ async def generate_chat_completion(
|
||||
detail="Model not found",
|
||||
)
|
||||
|
||||
await get_all_models(request)
|
||||
model = request.app.state.OPENAI_MODELS.get(model_id)
|
||||
if model:
|
||||
idx = model["urlIdx"]
|
||||
@@ -584,7 +599,10 @@ async def generate_chat_completion(
|
||||
|
||||
# Get the API config for the model
|
||||
api_config = request.app.state.config.OPENAI_API_CONFIGS.get(
|
||||
request.app.state.config.OPENAI_API_BASE_URLS[idx], {}
|
||||
str(idx),
|
||||
request.app.state.config.OPENAI_API_CONFIGS.get(
|
||||
request.app.state.config.OPENAI_API_BASE_URLS[idx], {}
|
||||
), # Legacy support
|
||||
)
|
||||
|
||||
prefix_id = api_config.get("prefix_id", None)
|
||||
@@ -603,10 +621,10 @@ async def generate_chat_completion(
|
||||
url = request.app.state.config.OPENAI_API_BASE_URLS[idx]
|
||||
key = request.app.state.config.OPENAI_API_KEYS[idx]
|
||||
|
||||
# Fix: O1 does not support the "max_tokens" parameter, Modify "max_tokens" to "max_completion_tokens"
|
||||
is_o1 = payload["model"].lower().startswith("o1-")
|
||||
if is_o1:
|
||||
payload = openai_o1_handler(payload)
|
||||
# Fix: o1,o3 does not support the "max_tokens" parameter, Modify "max_tokens" to "max_completion_tokens"
|
||||
is_o1_o3 = payload["model"].lower().startswith(("o1", "o3-"))
|
||||
if is_o1_o3:
|
||||
payload = openai_o1_o3_handler(payload)
|
||||
elif "api.openai.com" not in url:
|
||||
# Remove "max_completion_tokens" from the payload for backward compatibility
|
||||
if "max_completion_tokens" in payload:
|
||||
|
||||
@@ -112,7 +112,12 @@ async def update_prompt_by_command(
|
||||
detail=ERROR_MESSAGES.NOT_FOUND,
|
||||
)
|
||||
|
||||
if prompt.user_id != user.id and user.role != "admin":
|
||||
# Is the user the original creator, in a group with write access, or an admin
|
||||
if (
|
||||
prompt.user_id != user.id
|
||||
and not has_access(user.id, "write", prompt.access_control)
|
||||
and user.role != "admin"
|
||||
):
|
||||
raise HTTPException(
|
||||
status_code=status.HTTP_401_UNAUTHORIZED,
|
||||
detail=ERROR_MESSAGES.ACCESS_PROHIBITED,
|
||||
@@ -142,7 +147,11 @@ async def delete_prompt_by_command(command: str, user=Depends(get_verified_user)
|
||||
detail=ERROR_MESSAGES.NOT_FOUND,
|
||||
)
|
||||
|
||||
if prompt.user_id != user.id and user.role != "admin":
|
||||
if (
|
||||
prompt.user_id != user.id
|
||||
and not has_access(user.id, "write", prompt.access_control)
|
||||
and user.role != "admin"
|
||||
):
|
||||
raise HTTPException(
|
||||
status_code=status.HTTP_401_UNAUTHORIZED,
|
||||
detail=ERROR_MESSAGES.ACCESS_PROHIBITED,
|
||||
|
||||
@@ -45,6 +45,7 @@ from open_webui.retrieval.web.utils import get_web_loader
|
||||
from open_webui.retrieval.web.brave import search_brave
|
||||
from open_webui.retrieval.web.kagi import search_kagi
|
||||
from open_webui.retrieval.web.mojeek import search_mojeek
|
||||
from open_webui.retrieval.web.bocha import search_bocha
|
||||
from open_webui.retrieval.web.duckduckgo import search_duckduckgo
|
||||
from open_webui.retrieval.web.google_pse import search_google_pse
|
||||
from open_webui.retrieval.web.jina_search import search_jina
|
||||
@@ -55,6 +56,7 @@ from open_webui.retrieval.web.serply import search_serply
|
||||
from open_webui.retrieval.web.serpstack import search_serpstack
|
||||
from open_webui.retrieval.web.tavily import search_tavily
|
||||
from open_webui.retrieval.web.bing import search_bing
|
||||
from open_webui.retrieval.web.exa import search_exa
|
||||
|
||||
|
||||
from open_webui.retrieval.utils import (
|
||||
@@ -378,18 +380,21 @@ async def get_rag_config(request: Request, user=Depends(get_admin_user)):
|
||||
"brave_search_api_key": request.app.state.config.BRAVE_SEARCH_API_KEY,
|
||||
"kagi_search_api_key": request.app.state.config.KAGI_SEARCH_API_KEY,
|
||||
"mojeek_search_api_key": request.app.state.config.MOJEEK_SEARCH_API_KEY,
|
||||
"bocha_search_api_key": request.app.state.config.BOCHA_SEARCH_API_KEY,
|
||||
"serpstack_api_key": request.app.state.config.SERPSTACK_API_KEY,
|
||||
"serpstack_https": request.app.state.config.SERPSTACK_HTTPS,
|
||||
"serper_api_key": request.app.state.config.SERPER_API_KEY,
|
||||
"serply_api_key": request.app.state.config.SERPLY_API_KEY,
|
||||
"tavily_api_key": request.app.state.config.TAVILY_API_KEY,
|
||||
"searchapi_api_key": request.app.state.config.SEARCHAPI_API_KEY,
|
||||
"seaarchapi_engine": request.app.state.config.SEARCHAPI_ENGINE,
|
||||
"searchapi_engine": request.app.state.config.SEARCHAPI_ENGINE,
|
||||
"jina_api_key": request.app.state.config.JINA_API_KEY,
|
||||
"bing_search_v7_endpoint": request.app.state.config.BING_SEARCH_V7_ENDPOINT,
|
||||
"bing_search_v7_subscription_key": request.app.state.config.BING_SEARCH_V7_SUBSCRIPTION_KEY,
|
||||
"exa_api_key": request.app.state.config.EXA_API_KEY,
|
||||
"result_count": request.app.state.config.RAG_WEB_SEARCH_RESULT_COUNT,
|
||||
"concurrent_requests": request.app.state.config.RAG_WEB_SEARCH_CONCURRENT_REQUESTS,
|
||||
"domain_filter_list": request.app.state.config.RAG_WEB_SEARCH_DOMAIN_FILTER_LIST,
|
||||
},
|
||||
},
|
||||
}
|
||||
@@ -426,6 +431,7 @@ class WebSearchConfig(BaseModel):
|
||||
brave_search_api_key: Optional[str] = None
|
||||
kagi_search_api_key: Optional[str] = None
|
||||
mojeek_search_api_key: Optional[str] = None
|
||||
bocha_search_api_key: Optional[str] = None
|
||||
serpstack_api_key: Optional[str] = None
|
||||
serpstack_https: Optional[bool] = None
|
||||
serper_api_key: Optional[str] = None
|
||||
@@ -436,8 +442,10 @@ class WebSearchConfig(BaseModel):
|
||||
jina_api_key: Optional[str] = None
|
||||
bing_search_v7_endpoint: Optional[str] = None
|
||||
bing_search_v7_subscription_key: Optional[str] = None
|
||||
exa_api_key: Optional[str] = None
|
||||
result_count: Optional[int] = None
|
||||
concurrent_requests: Optional[int] = None
|
||||
domain_filter_list: Optional[List[str]] = []
|
||||
|
||||
|
||||
class WebConfig(BaseModel):
|
||||
@@ -520,6 +528,9 @@ async def update_rag_config(
|
||||
request.app.state.config.MOJEEK_SEARCH_API_KEY = (
|
||||
form_data.web.search.mojeek_search_api_key
|
||||
)
|
||||
request.app.state.config.BOCHA_SEARCH_API_KEY = (
|
||||
form_data.web.search.bocha_search_api_key
|
||||
)
|
||||
request.app.state.config.SERPSTACK_API_KEY = (
|
||||
form_data.web.search.serpstack_api_key
|
||||
)
|
||||
@@ -542,12 +553,17 @@ async def update_rag_config(
|
||||
form_data.web.search.bing_search_v7_subscription_key
|
||||
)
|
||||
|
||||
request.app.state.config.EXA_API_KEY = form_data.web.search.exa_api_key
|
||||
|
||||
request.app.state.config.RAG_WEB_SEARCH_RESULT_COUNT = (
|
||||
form_data.web.search.result_count
|
||||
)
|
||||
request.app.state.config.RAG_WEB_SEARCH_CONCURRENT_REQUESTS = (
|
||||
form_data.web.search.concurrent_requests
|
||||
)
|
||||
request.app.state.config.RAG_WEB_SEARCH_DOMAIN_FILTER_LIST = (
|
||||
form_data.web.search.domain_filter_list
|
||||
)
|
||||
|
||||
return {
|
||||
"status": True,
|
||||
@@ -581,6 +597,7 @@ async def update_rag_config(
|
||||
"brave_search_api_key": request.app.state.config.BRAVE_SEARCH_API_KEY,
|
||||
"kagi_search_api_key": request.app.state.config.KAGI_SEARCH_API_KEY,
|
||||
"mojeek_search_api_key": request.app.state.config.MOJEEK_SEARCH_API_KEY,
|
||||
"bocha_search_api_key": request.app.state.config.BOCHA_SEARCH_API_KEY,
|
||||
"serpstack_api_key": request.app.state.config.SERPSTACK_API_KEY,
|
||||
"serpstack_https": request.app.state.config.SERPSTACK_HTTPS,
|
||||
"serper_api_key": request.app.state.config.SERPER_API_KEY,
|
||||
@@ -591,8 +608,10 @@ async def update_rag_config(
|
||||
"jina_api_key": request.app.state.config.JINA_API_KEY,
|
||||
"bing_search_v7_endpoint": request.app.state.config.BING_SEARCH_V7_ENDPOINT,
|
||||
"bing_search_v7_subscription_key": request.app.state.config.BING_SEARCH_V7_SUBSCRIPTION_KEY,
|
||||
"exa_api_key": request.app.state.config.EXA_API_KEY,
|
||||
"result_count": request.app.state.config.RAG_WEB_SEARCH_RESULT_COUNT,
|
||||
"concurrent_requests": request.app.state.config.RAG_WEB_SEARCH_CONCURRENT_REQUESTS,
|
||||
"domain_filter_list": request.app.state.config.RAG_WEB_SEARCH_DOMAIN_FILTER_LIST,
|
||||
},
|
||||
},
|
||||
}
|
||||
@@ -660,6 +679,7 @@ def save_docs_to_vector_db(
|
||||
overwrite: bool = False,
|
||||
split: bool = True,
|
||||
add: bool = False,
|
||||
user=None,
|
||||
) -> bool:
|
||||
def _get_docs_info(docs: list[Document]) -> str:
|
||||
docs_info = set()
|
||||
@@ -775,7 +795,7 @@ def save_docs_to_vector_db(
|
||||
)
|
||||
|
||||
embeddings = embedding_function(
|
||||
list(map(lambda x: x.replace("\n", " "), texts))
|
||||
list(map(lambda x: x.replace("\n", " "), texts)), user=user
|
||||
)
|
||||
|
||||
items = [
|
||||
@@ -933,6 +953,7 @@ def process_file(
|
||||
"hash": hash,
|
||||
},
|
||||
add=(True if form_data.collection_name else False),
|
||||
user=user,
|
||||
)
|
||||
|
||||
if result:
|
||||
@@ -990,7 +1011,7 @@ def process_text(
|
||||
text_content = form_data.content
|
||||
log.debug(f"text_content: {text_content}")
|
||||
|
||||
result = save_docs_to_vector_db(request, docs, collection_name)
|
||||
result = save_docs_to_vector_db(request, docs, collection_name, user=user)
|
||||
if result:
|
||||
return {
|
||||
"status": True,
|
||||
@@ -1023,7 +1044,9 @@ def process_youtube_video(
|
||||
content = " ".join([doc.page_content for doc in docs])
|
||||
log.debug(f"text_content: {content}")
|
||||
|
||||
save_docs_to_vector_db(request, docs, collection_name, overwrite=True)
|
||||
save_docs_to_vector_db(
|
||||
request, docs, collection_name, overwrite=True, user=user
|
||||
)
|
||||
|
||||
return {
|
||||
"status": True,
|
||||
@@ -1064,7 +1087,9 @@ def process_web(
|
||||
content = " ".join([doc.page_content for doc in docs])
|
||||
|
||||
log.debug(f"text_content: {content}")
|
||||
save_docs_to_vector_db(request, docs, collection_name, overwrite=True)
|
||||
save_docs_to_vector_db(
|
||||
request, docs, collection_name, overwrite=True, user=user
|
||||
)
|
||||
|
||||
return {
|
||||
"status": True,
|
||||
@@ -1095,10 +1120,12 @@ def search_web(request: Request, engine: str, query: str) -> list[SearchResult]:
|
||||
- BRAVE_SEARCH_API_KEY
|
||||
- KAGI_SEARCH_API_KEY
|
||||
- MOJEEK_SEARCH_API_KEY
|
||||
- BOCHA_SEARCH_API_KEY
|
||||
- SERPSTACK_API_KEY
|
||||
- SERPER_API_KEY
|
||||
- SERPLY_API_KEY
|
||||
- TAVILY_API_KEY
|
||||
- EXA_API_KEY
|
||||
- SEARCHAPI_API_KEY + SEARCHAPI_ENGINE (by default `google`)
|
||||
Args:
|
||||
query (str): The query to search for
|
||||
@@ -1161,6 +1188,16 @@ def search_web(request: Request, engine: str, query: str) -> list[SearchResult]:
|
||||
)
|
||||
else:
|
||||
raise Exception("No MOJEEK_SEARCH_API_KEY found in environment variables")
|
||||
elif engine == "bocha":
|
||||
if request.app.state.config.BOCHA_SEARCH_API_KEY:
|
||||
return search_bocha(
|
||||
request.app.state.config.BOCHA_SEARCH_API_KEY,
|
||||
query,
|
||||
request.app.state.config.RAG_WEB_SEARCH_RESULT_COUNT,
|
||||
request.app.state.config.RAG_WEB_SEARCH_DOMAIN_FILTER_LIST,
|
||||
)
|
||||
else:
|
||||
raise Exception("No BOCHA_SEARCH_API_KEY found in environment variables")
|
||||
elif engine == "serpstack":
|
||||
if request.app.state.config.SERPSTACK_API_KEY:
|
||||
return search_serpstack(
|
||||
@@ -1233,6 +1270,13 @@ def search_web(request: Request, engine: str, query: str) -> list[SearchResult]:
|
||||
request.app.state.config.RAG_WEB_SEARCH_RESULT_COUNT,
|
||||
request.app.state.config.RAG_WEB_SEARCH_DOMAIN_FILTER_LIST,
|
||||
)
|
||||
elif engine == "exa":
|
||||
return search_exa(
|
||||
request.app.state.config.EXA_API_KEY,
|
||||
query,
|
||||
request.app.state.config.RAG_WEB_SEARCH_RESULT_COUNT,
|
||||
request.app.state.config.RAG_WEB_SEARCH_DOMAIN_FILTER_LIST,
|
||||
)
|
||||
else:
|
||||
raise Exception("No search engine API key found in environment variables")
|
||||
|
||||
@@ -1272,7 +1316,9 @@ def process_web_search(
|
||||
requests_per_second=request.app.state.config.RAG_WEB_SEARCH_CONCURRENT_REQUESTS,
|
||||
)
|
||||
docs = loader.load()
|
||||
save_docs_to_vector_db(request, docs, collection_name, overwrite=True)
|
||||
save_docs_to_vector_db(
|
||||
request, docs, collection_name, overwrite=True, user=user
|
||||
)
|
||||
|
||||
return {
|
||||
"status": True,
|
||||
@@ -1306,7 +1352,9 @@ def query_doc_handler(
|
||||
return query_doc_with_hybrid_search(
|
||||
collection_name=form_data.collection_name,
|
||||
query=form_data.query,
|
||||
embedding_function=request.app.state.EMBEDDING_FUNCTION,
|
||||
embedding_function=lambda query: request.app.state.EMBEDDING_FUNCTION(
|
||||
query, user=user
|
||||
),
|
||||
k=form_data.k if form_data.k else request.app.state.config.TOP_K,
|
||||
reranking_function=request.app.state.rf,
|
||||
r=(
|
||||
@@ -1314,12 +1362,16 @@ def query_doc_handler(
|
||||
if form_data.r
|
||||
else request.app.state.config.RELEVANCE_THRESHOLD
|
||||
),
|
||||
user=user,
|
||||
)
|
||||
else:
|
||||
return query_doc(
|
||||
collection_name=form_data.collection_name,
|
||||
query_embedding=request.app.state.EMBEDDING_FUNCTION(form_data.query),
|
||||
query_embedding=request.app.state.EMBEDDING_FUNCTION(
|
||||
form_data.query, user=user
|
||||
),
|
||||
k=form_data.k if form_data.k else request.app.state.config.TOP_K,
|
||||
user=user,
|
||||
)
|
||||
except Exception as e:
|
||||
log.exception(e)
|
||||
@@ -1348,7 +1400,9 @@ def query_collection_handler(
|
||||
return query_collection_with_hybrid_search(
|
||||
collection_names=form_data.collection_names,
|
||||
queries=[form_data.query],
|
||||
embedding_function=request.app.state.EMBEDDING_FUNCTION,
|
||||
embedding_function=lambda query: request.app.state.EMBEDDING_FUNCTION(
|
||||
query, user=user
|
||||
),
|
||||
k=form_data.k if form_data.k else request.app.state.config.TOP_K,
|
||||
reranking_function=request.app.state.rf,
|
||||
r=(
|
||||
@@ -1361,7 +1415,9 @@ def query_collection_handler(
|
||||
return query_collection(
|
||||
collection_names=form_data.collection_names,
|
||||
queries=[form_data.query],
|
||||
embedding_function=request.app.state.EMBEDDING_FUNCTION,
|
||||
embedding_function=lambda query: request.app.state.EMBEDDING_FUNCTION(
|
||||
query, user=user
|
||||
),
|
||||
k=form_data.k if form_data.k else request.app.state.config.TOP_K,
|
||||
)
|
||||
|
||||
@@ -1509,6 +1565,7 @@ def process_files_batch(
|
||||
docs=all_docs,
|
||||
collection_name=collection_name,
|
||||
add=True,
|
||||
user=user,
|
||||
)
|
||||
|
||||
# Update all files with collection name
|
||||
|
||||
@@ -4,11 +4,13 @@ from fastapi.responses import JSONResponse, RedirectResponse
|
||||
from pydantic import BaseModel
|
||||
from typing import Optional
|
||||
import logging
|
||||
import re
|
||||
|
||||
from open_webui.utils.chat import generate_chat_completion
|
||||
from open_webui.utils.task import (
|
||||
title_generation_template,
|
||||
query_generation_template,
|
||||
image_prompt_generation_template,
|
||||
autocomplete_generation_template,
|
||||
tags_generation_template,
|
||||
emoji_generation_template,
|
||||
@@ -23,6 +25,7 @@ from open_webui.utils.task import get_task_model_id
|
||||
from open_webui.config import (
|
||||
DEFAULT_TITLE_GENERATION_PROMPT_TEMPLATE,
|
||||
DEFAULT_TAGS_GENERATION_PROMPT_TEMPLATE,
|
||||
DEFAULT_IMAGE_PROMPT_GENERATION_PROMPT_TEMPLATE,
|
||||
DEFAULT_QUERY_GENERATION_PROMPT_TEMPLATE,
|
||||
DEFAULT_AUTOCOMPLETE_GENERATION_PROMPT_TEMPLATE,
|
||||
DEFAULT_EMOJI_GENERATION_PROMPT_TEMPLATE,
|
||||
@@ -50,6 +53,7 @@ async def get_task_config(request: Request, user=Depends(get_verified_user)):
|
||||
"TASK_MODEL": request.app.state.config.TASK_MODEL,
|
||||
"TASK_MODEL_EXTERNAL": request.app.state.config.TASK_MODEL_EXTERNAL,
|
||||
"TITLE_GENERATION_PROMPT_TEMPLATE": request.app.state.config.TITLE_GENERATION_PROMPT_TEMPLATE,
|
||||
"IMAGE_PROMPT_GENERATION_PROMPT_TEMPLATE": request.app.state.config.IMAGE_PROMPT_GENERATION_PROMPT_TEMPLATE,
|
||||
"ENABLE_AUTOCOMPLETE_GENERATION": request.app.state.config.ENABLE_AUTOCOMPLETE_GENERATION,
|
||||
"AUTOCOMPLETE_GENERATION_INPUT_MAX_LENGTH": request.app.state.config.AUTOCOMPLETE_GENERATION_INPUT_MAX_LENGTH,
|
||||
"TAGS_GENERATION_PROMPT_TEMPLATE": request.app.state.config.TAGS_GENERATION_PROMPT_TEMPLATE,
|
||||
@@ -65,6 +69,7 @@ class TaskConfigForm(BaseModel):
|
||||
TASK_MODEL: Optional[str]
|
||||
TASK_MODEL_EXTERNAL: Optional[str]
|
||||
TITLE_GENERATION_PROMPT_TEMPLATE: str
|
||||
IMAGE_PROMPT_GENERATION_PROMPT_TEMPLATE: str
|
||||
ENABLE_AUTOCOMPLETE_GENERATION: bool
|
||||
AUTOCOMPLETE_GENERATION_INPUT_MAX_LENGTH: int
|
||||
TAGS_GENERATION_PROMPT_TEMPLATE: str
|
||||
@@ -85,6 +90,10 @@ async def update_task_config(
|
||||
form_data.TITLE_GENERATION_PROMPT_TEMPLATE
|
||||
)
|
||||
|
||||
request.app.state.config.IMAGE_PROMPT_GENERATION_PROMPT_TEMPLATE = (
|
||||
form_data.IMAGE_PROMPT_GENERATION_PROMPT_TEMPLATE
|
||||
)
|
||||
|
||||
request.app.state.config.ENABLE_AUTOCOMPLETE_GENERATION = (
|
||||
form_data.ENABLE_AUTOCOMPLETE_GENERATION
|
||||
)
|
||||
@@ -114,6 +123,7 @@ async def update_task_config(
|
||||
"TASK_MODEL": request.app.state.config.TASK_MODEL,
|
||||
"TASK_MODEL_EXTERNAL": request.app.state.config.TASK_MODEL_EXTERNAL,
|
||||
"TITLE_GENERATION_PROMPT_TEMPLATE": request.app.state.config.TITLE_GENERATION_PROMPT_TEMPLATE,
|
||||
"IMAGE_PROMPT_GENERATION_PROMPT_TEMPLATE": request.app.state.config.IMAGE_PROMPT_GENERATION_PROMPT_TEMPLATE,
|
||||
"ENABLE_AUTOCOMPLETE_GENERATION": request.app.state.config.ENABLE_AUTOCOMPLETE_GENERATION,
|
||||
"AUTOCOMPLETE_GENERATION_INPUT_MAX_LENGTH": request.app.state.config.AUTOCOMPLETE_GENERATION_INPUT_MAX_LENGTH,
|
||||
"TAGS_GENERATION_PROMPT_TEMPLATE": request.app.state.config.TAGS_GENERATION_PROMPT_TEMPLATE,
|
||||
@@ -129,7 +139,12 @@ async def update_task_config(
|
||||
async def generate_title(
|
||||
request: Request, form_data: dict, user=Depends(get_verified_user)
|
||||
):
|
||||
models = request.app.state.MODELS
|
||||
if getattr(request.state, "direct", False) and hasattr(request.state, "model"):
|
||||
models = {
|
||||
request.state.model["id"]: request.state.model,
|
||||
}
|
||||
else:
|
||||
models = request.app.state.MODELS
|
||||
|
||||
model_id = form_data["model"]
|
||||
if model_id not in models:
|
||||
@@ -156,9 +171,20 @@ async def generate_title(
|
||||
else:
|
||||
template = DEFAULT_TITLE_GENERATION_PROMPT_TEMPLATE
|
||||
|
||||
messages = form_data["messages"]
|
||||
|
||||
# Remove reasoning details from the messages
|
||||
for message in messages:
|
||||
message["content"] = re.sub(
|
||||
r"<details\s+type=\"reasoning\"[^>]*>.*?<\/details>",
|
||||
"",
|
||||
message["content"],
|
||||
flags=re.S,
|
||||
).strip()
|
||||
|
||||
content = title_generation_template(
|
||||
template,
|
||||
form_data["messages"],
|
||||
messages,
|
||||
{
|
||||
"name": user.name,
|
||||
"location": user.info.get("location") if user.info else None,
|
||||
@@ -170,13 +196,14 @@ async def generate_title(
|
||||
"messages": [{"role": "user", "content": content}],
|
||||
"stream": False,
|
||||
**(
|
||||
{"max_tokens": 50}
|
||||
{"max_tokens": 1000}
|
||||
if models[task_model_id]["owned_by"] == "ollama"
|
||||
else {
|
||||
"max_completion_tokens": 50,
|
||||
"max_completion_tokens": 1000,
|
||||
}
|
||||
),
|
||||
"metadata": {
|
||||
**(request.state.metadata if hasattr(request.state, "metadata") else {}),
|
||||
"task": str(TASKS.TITLE_GENERATION),
|
||||
"task_body": form_data,
|
||||
"chat_id": form_data.get("chat_id", None),
|
||||
@@ -204,7 +231,12 @@ async def generate_chat_tags(
|
||||
content={"detail": "Tags generation is disabled"},
|
||||
)
|
||||
|
||||
models = request.app.state.MODELS
|
||||
if getattr(request.state, "direct", False) and hasattr(request.state, "model"):
|
||||
models = {
|
||||
request.state.model["id"]: request.state.model,
|
||||
}
|
||||
else:
|
||||
models = request.app.state.MODELS
|
||||
|
||||
model_id = form_data["model"]
|
||||
if model_id not in models:
|
||||
@@ -240,6 +272,7 @@ async def generate_chat_tags(
|
||||
"messages": [{"role": "user", "content": content}],
|
||||
"stream": False,
|
||||
"metadata": {
|
||||
**(request.state.metadata if hasattr(request.state, "metadata") else {}),
|
||||
"task": str(TASKS.TAGS_GENERATION),
|
||||
"task_body": form_data,
|
||||
"chat_id": form_data.get("chat_id", None),
|
||||
@@ -256,6 +289,72 @@ async def generate_chat_tags(
|
||||
)
|
||||
|
||||
|
||||
@router.post("/image_prompt/completions")
|
||||
async def generate_image_prompt(
|
||||
request: Request, form_data: dict, user=Depends(get_verified_user)
|
||||
):
|
||||
if getattr(request.state, "direct", False) and hasattr(request.state, "model"):
|
||||
models = {
|
||||
request.state.model["id"]: request.state.model,
|
||||
}
|
||||
else:
|
||||
models = request.app.state.MODELS
|
||||
|
||||
model_id = form_data["model"]
|
||||
if model_id not in models:
|
||||
raise HTTPException(
|
||||
status_code=status.HTTP_404_NOT_FOUND,
|
||||
detail="Model not found",
|
||||
)
|
||||
|
||||
# Check if the user has a custom task model
|
||||
# If the user has a custom task model, use that model
|
||||
task_model_id = get_task_model_id(
|
||||
model_id,
|
||||
request.app.state.config.TASK_MODEL,
|
||||
request.app.state.config.TASK_MODEL_EXTERNAL,
|
||||
models,
|
||||
)
|
||||
|
||||
log.debug(
|
||||
f"generating image prompt using model {task_model_id} for user {user.email} "
|
||||
)
|
||||
|
||||
if request.app.state.config.IMAGE_PROMPT_GENERATION_PROMPT_TEMPLATE != "":
|
||||
template = request.app.state.config.IMAGE_PROMPT_GENERATION_PROMPT_TEMPLATE
|
||||
else:
|
||||
template = DEFAULT_IMAGE_PROMPT_GENERATION_PROMPT_TEMPLATE
|
||||
|
||||
content = image_prompt_generation_template(
|
||||
template,
|
||||
form_data["messages"],
|
||||
user={
|
||||
"name": user.name,
|
||||
},
|
||||
)
|
||||
|
||||
payload = {
|
||||
"model": task_model_id,
|
||||
"messages": [{"role": "user", "content": content}],
|
||||
"stream": False,
|
||||
"metadata": {
|
||||
**(request.state.metadata if hasattr(request.state, "metadata") else {}),
|
||||
"task": str(TASKS.IMAGE_PROMPT_GENERATION),
|
||||
"task_body": form_data,
|
||||
"chat_id": form_data.get("chat_id", None),
|
||||
},
|
||||
}
|
||||
|
||||
try:
|
||||
return await generate_chat_completion(request, form_data=payload, user=user)
|
||||
except Exception as e:
|
||||
log.error("Exception occurred", exc_info=True)
|
||||
return JSONResponse(
|
||||
status_code=status.HTTP_400_BAD_REQUEST,
|
||||
content={"detail": "An internal error has occurred."},
|
||||
)
|
||||
|
||||
|
||||
@router.post("/queries/completions")
|
||||
async def generate_queries(
|
||||
request: Request, form_data: dict, user=Depends(get_verified_user)
|
||||
@@ -275,7 +374,12 @@ async def generate_queries(
|
||||
detail=f"Query generation is disabled",
|
||||
)
|
||||
|
||||
models = request.app.state.MODELS
|
||||
if getattr(request.state, "direct", False) and hasattr(request.state, "model"):
|
||||
models = {
|
||||
request.state.model["id"]: request.state.model,
|
||||
}
|
||||
else:
|
||||
models = request.app.state.MODELS
|
||||
|
||||
model_id = form_data["model"]
|
||||
if model_id not in models:
|
||||
@@ -311,6 +415,7 @@ async def generate_queries(
|
||||
"messages": [{"role": "user", "content": content}],
|
||||
"stream": False,
|
||||
"metadata": {
|
||||
**(request.state.metadata if hasattr(request.state, "metadata") else {}),
|
||||
"task": str(TASKS.QUERY_GENERATION),
|
||||
"task_body": form_data,
|
||||
"chat_id": form_data.get("chat_id", None),
|
||||
@@ -350,7 +455,12 @@ async def generate_autocompletion(
|
||||
detail=f"Input prompt exceeds maximum length of {request.app.state.config.AUTOCOMPLETE_GENERATION_INPUT_MAX_LENGTH}",
|
||||
)
|
||||
|
||||
models = request.app.state.MODELS
|
||||
if getattr(request.state, "direct", False) and hasattr(request.state, "model"):
|
||||
models = {
|
||||
request.state.model["id"]: request.state.model,
|
||||
}
|
||||
else:
|
||||
models = request.app.state.MODELS
|
||||
|
||||
model_id = form_data["model"]
|
||||
if model_id not in models:
|
||||
@@ -386,6 +496,7 @@ async def generate_autocompletion(
|
||||
"messages": [{"role": "user", "content": content}],
|
||||
"stream": False,
|
||||
"metadata": {
|
||||
**(request.state.metadata if hasattr(request.state, "metadata") else {}),
|
||||
"task": str(TASKS.AUTOCOMPLETE_GENERATION),
|
||||
"task_body": form_data,
|
||||
"chat_id": form_data.get("chat_id", None),
|
||||
@@ -407,7 +518,12 @@ async def generate_emoji(
|
||||
request: Request, form_data: dict, user=Depends(get_verified_user)
|
||||
):
|
||||
|
||||
models = request.app.state.MODELS
|
||||
if getattr(request.state, "direct", False) and hasattr(request.state, "model"):
|
||||
models = {
|
||||
request.state.model["id"]: request.state.model,
|
||||
}
|
||||
else:
|
||||
models = request.app.state.MODELS
|
||||
|
||||
model_id = form_data["model"]
|
||||
if model_id not in models:
|
||||
@@ -450,7 +566,11 @@ async def generate_emoji(
|
||||
}
|
||||
),
|
||||
"chat_id": form_data.get("chat_id", None),
|
||||
"metadata": {"task": str(TASKS.EMOJI_GENERATION), "task_body": form_data},
|
||||
"metadata": {
|
||||
**(request.state.metadata if hasattr(request.state, "metadata") else {}),
|
||||
"task": str(TASKS.EMOJI_GENERATION),
|
||||
"task_body": form_data,
|
||||
},
|
||||
}
|
||||
|
||||
try:
|
||||
@@ -467,7 +587,13 @@ async def generate_moa_response(
|
||||
request: Request, form_data: dict, user=Depends(get_verified_user)
|
||||
):
|
||||
|
||||
models = request.app.state.MODELS
|
||||
if getattr(request.state, "direct", False) and hasattr(request.state, "model"):
|
||||
models = {
|
||||
request.state.model["id"]: request.state.model,
|
||||
}
|
||||
else:
|
||||
models = request.app.state.MODELS
|
||||
|
||||
model_id = form_data["model"]
|
||||
|
||||
if model_id not in models:
|
||||
@@ -500,6 +626,7 @@ async def generate_moa_response(
|
||||
"messages": [{"role": "user", "content": content}],
|
||||
"stream": form_data.get("stream", False),
|
||||
"metadata": {
|
||||
**(request.state.metadata if hasattr(request.state, "metadata") else {}),
|
||||
"chat_id": form_data.get("chat_id", None),
|
||||
"task": str(TASKS.MOA_RESPONSE_GENERATION),
|
||||
"task_body": form_data,
|
||||
|
||||
@@ -70,7 +70,7 @@ async def create_new_tools(
|
||||
user=Depends(get_verified_user),
|
||||
):
|
||||
if user.role != "admin" and not has_permission(
|
||||
user.id, "workspace.knowledge", request.app.state.config.USER_PERMISSIONS
|
||||
user.id, "workspace.tools", request.app.state.config.USER_PERMISSIONS
|
||||
):
|
||||
raise HTTPException(
|
||||
status_code=status.HTTP_401_UNAUTHORIZED,
|
||||
@@ -165,7 +165,12 @@ async def update_tools_by_id(
|
||||
detail=ERROR_MESSAGES.NOT_FOUND,
|
||||
)
|
||||
|
||||
if tools.user_id != user.id and user.role != "admin":
|
||||
# Is the user the original creator, in a group with write access, or an admin
|
||||
if (
|
||||
tools.user_id != user.id
|
||||
and not has_access(user.id, "write", tools.access_control)
|
||||
and user.role != "admin"
|
||||
):
|
||||
raise HTTPException(
|
||||
status_code=status.HTTP_401_UNAUTHORIZED,
|
||||
detail=ERROR_MESSAGES.UNAUTHORIZED,
|
||||
@@ -222,7 +227,11 @@ async def delete_tools_by_id(
|
||||
detail=ERROR_MESSAGES.NOT_FOUND,
|
||||
)
|
||||
|
||||
if tools.user_id != user.id and user.role != "admin":
|
||||
if (
|
||||
tools.user_id != user.id
|
||||
and not has_access(user.id, "write", tools.access_control)
|
||||
and user.role != "admin"
|
||||
):
|
||||
raise HTTPException(
|
||||
status_code=status.HTTP_401_UNAUTHORIZED,
|
||||
detail=ERROR_MESSAGES.UNAUTHORIZED,
|
||||
@@ -304,6 +313,17 @@ async def update_tools_valves_by_id(
|
||||
status_code=status.HTTP_401_UNAUTHORIZED,
|
||||
detail=ERROR_MESSAGES.NOT_FOUND,
|
||||
)
|
||||
|
||||
if (
|
||||
tools.user_id != user.id
|
||||
and not has_access(user.id, "write", tools.access_control)
|
||||
and user.role != "admin"
|
||||
):
|
||||
raise HTTPException(
|
||||
status_code=status.HTTP_400_BAD_REQUEST,
|
||||
detail=ERROR_MESSAGES.ACCESS_PROHIBITED,
|
||||
)
|
||||
|
||||
if id in request.app.state.TOOLS:
|
||||
tools_module = request.app.state.TOOLS[id]
|
||||
else:
|
||||
|
||||
@@ -62,27 +62,45 @@ async def get_user_permissisions(user=Depends(get_verified_user)):
|
||||
# User Default Permissions
|
||||
############################
|
||||
class WorkspacePermissions(BaseModel):
|
||||
models: bool
|
||||
knowledge: bool
|
||||
prompts: bool
|
||||
tools: bool
|
||||
models: bool = False
|
||||
knowledge: bool = False
|
||||
prompts: bool = False
|
||||
tools: bool = False
|
||||
|
||||
|
||||
class ChatPermissions(BaseModel):
|
||||
file_upload: bool
|
||||
delete: bool
|
||||
edit: bool
|
||||
temporary: bool
|
||||
controls: bool = True
|
||||
file_upload: bool = True
|
||||
delete: bool = True
|
||||
edit: bool = True
|
||||
temporary: bool = True
|
||||
|
||||
|
||||
class FeaturesPermissions(BaseModel):
|
||||
web_search: bool = True
|
||||
image_generation: bool = True
|
||||
code_interpreter: bool = True
|
||||
|
||||
|
||||
class UserPermissions(BaseModel):
|
||||
workspace: WorkspacePermissions
|
||||
chat: ChatPermissions
|
||||
features: FeaturesPermissions
|
||||
|
||||
|
||||
@router.get("/default/permissions")
|
||||
@router.get("/default/permissions", response_model=UserPermissions)
|
||||
async def get_user_permissions(request: Request, user=Depends(get_admin_user)):
|
||||
return request.app.state.config.USER_PERMISSIONS
|
||||
return {
|
||||
"workspace": WorkspacePermissions(
|
||||
**request.app.state.config.USER_PERMISSIONS.get("workspace", {})
|
||||
),
|
||||
"chat": ChatPermissions(
|
||||
**request.app.state.config.USER_PERMISSIONS.get("chat", {})
|
||||
),
|
||||
"features": FeaturesPermissions(
|
||||
**request.app.state.config.USER_PERMISSIONS.get("features", {})
|
||||
),
|
||||
}
|
||||
|
||||
|
||||
@router.post("/default/permissions")
|
||||
@@ -135,7 +153,7 @@ async def get_user_settings_by_session_user(user=Depends(get_verified_user)):
|
||||
async def update_user_settings_by_session_user(
|
||||
form_data: UserSettings, user=Depends(get_verified_user)
|
||||
):
|
||||
user = Users.update_user_by_id(user.id, {"settings": form_data.model_dump()})
|
||||
user = Users.update_user_settings_by_id(user.id, form_data.model_dump())
|
||||
if user:
|
||||
return user.settings
|
||||
else:
|
||||
|
||||
@@ -279,8 +279,8 @@ def get_event_emitter(request_info):
|
||||
await sio.emit(
|
||||
"chat-events",
|
||||
{
|
||||
"chat_id": request_info["chat_id"],
|
||||
"message_id": request_info["message_id"],
|
||||
"chat_id": request_info.get("chat_id", None),
|
||||
"message_id": request_info.get("message_id", None),
|
||||
"data": event_data,
|
||||
},
|
||||
to=session_id,
|
||||
@@ -325,19 +325,22 @@ def get_event_emitter(request_info):
|
||||
|
||||
|
||||
def get_event_call(request_info):
|
||||
async def __event_call__(event_data):
|
||||
async def __event_caller__(event_data):
|
||||
response = await sio.call(
|
||||
"chat-events",
|
||||
{
|
||||
"chat_id": request_info["chat_id"],
|
||||
"message_id": request_info["message_id"],
|
||||
"chat_id": request_info.get("chat_id", None),
|
||||
"message_id": request_info.get("message_id", None),
|
||||
"data": event_data,
|
||||
},
|
||||
to=request_info["session_id"],
|
||||
)
|
||||
return response
|
||||
|
||||
return __event_call__
|
||||
return __event_caller__
|
||||
|
||||
|
||||
get_event_caller = get_event_call
|
||||
|
||||
|
||||
def get_user_id_from_session_pool(sid):
|
||||
|
||||
@@ -26,7 +26,7 @@ class RedisLock:
|
||||
|
||||
def release_lock(self):
|
||||
lock_value = self.redis.get(self.lock_name)
|
||||
if lock_value and lock_value.decode("utf-8") == self.lock_id:
|
||||
if lock_value and lock_value == self.lock_id:
|
||||
self.redis.delete(self.lock_name)
|
||||
|
||||
|
||||
|
||||
Binary file not shown.
|
Before Width: | Height: | Size: 11 KiB After Width: | Height: | Size: 10 KiB |
Binary file not shown.
|
Before Width: | Height: | Size: 6.0 KiB After Width: | Height: | Size: 5.2 KiB |
@@ -1,121 +1,74 @@
|
||||
import os
|
||||
import shutil
|
||||
import json
|
||||
from abc import ABC, abstractmethod
|
||||
from typing import BinaryIO, Tuple
|
||||
|
||||
import boto3
|
||||
from botocore.exceptions import ClientError
|
||||
import shutil
|
||||
|
||||
|
||||
from typing import BinaryIO, Tuple, Optional, Union
|
||||
|
||||
from open_webui.constants import ERROR_MESSAGES
|
||||
from open_webui.config import (
|
||||
STORAGE_PROVIDER,
|
||||
S3_ACCESS_KEY_ID,
|
||||
S3_SECRET_ACCESS_KEY,
|
||||
S3_BUCKET_NAME,
|
||||
S3_REGION_NAME,
|
||||
S3_ENDPOINT_URL,
|
||||
S3_KEY_PREFIX,
|
||||
S3_REGION_NAME,
|
||||
S3_SECRET_ACCESS_KEY,
|
||||
GCS_BUCKET_NAME,
|
||||
GOOGLE_APPLICATION_CREDENTIALS_JSON,
|
||||
STORAGE_PROVIDER,
|
||||
UPLOAD_DIR,
|
||||
)
|
||||
from google.cloud import storage
|
||||
from google.cloud.exceptions import GoogleCloudError, NotFound
|
||||
from open_webui.constants import ERROR_MESSAGES
|
||||
|
||||
|
||||
import boto3
|
||||
from botocore.exceptions import ClientError
|
||||
from typing import BinaryIO, Tuple, Optional
|
||||
class StorageProvider(ABC):
|
||||
@abstractmethod
|
||||
def get_file(self, file_path: str) -> str:
|
||||
pass
|
||||
|
||||
@abstractmethod
|
||||
def upload_file(self, file: BinaryIO, filename: str) -> Tuple[bytes, str]:
|
||||
pass
|
||||
|
||||
@abstractmethod
|
||||
def delete_all_files(self) -> None:
|
||||
pass
|
||||
|
||||
@abstractmethod
|
||||
def delete_file(self, file_path: str) -> None:
|
||||
pass
|
||||
|
||||
|
||||
class StorageProvider:
|
||||
def __init__(self, provider: Optional[str] = None):
|
||||
self.storage_provider: str = provider or STORAGE_PROVIDER
|
||||
|
||||
self.s3_client = None
|
||||
self.s3_bucket_name: Optional[str] = None
|
||||
|
||||
if self.storage_provider == "s3":
|
||||
self._initialize_s3()
|
||||
|
||||
def _initialize_s3(self) -> None:
|
||||
"""Initializes the S3 client and bucket name if using S3 storage."""
|
||||
self.s3_client = boto3.client(
|
||||
"s3",
|
||||
region_name=S3_REGION_NAME,
|
||||
endpoint_url=S3_ENDPOINT_URL,
|
||||
aws_access_key_id=S3_ACCESS_KEY_ID,
|
||||
aws_secret_access_key=S3_SECRET_ACCESS_KEY,
|
||||
)
|
||||
self.bucket_name = S3_BUCKET_NAME
|
||||
|
||||
def _upload_to_s3(self, file_path: str, filename: str) -> Tuple[bytes, str]:
|
||||
"""Handles uploading of the file to S3 storage."""
|
||||
if not self.s3_client:
|
||||
raise RuntimeError("S3 Client is not initialized.")
|
||||
|
||||
try:
|
||||
self.s3_client.upload_file(file_path, self.bucket_name, filename)
|
||||
return (
|
||||
open(file_path, "rb").read(),
|
||||
"s3://" + self.bucket_name + "/" + filename,
|
||||
)
|
||||
except ClientError as e:
|
||||
raise RuntimeError(f"Error uploading file to S3: {e}")
|
||||
|
||||
def _upload_to_local(self, contents: bytes, filename: str) -> Tuple[bytes, str]:
|
||||
"""Handles uploading of the file to local storage."""
|
||||
class LocalStorageProvider(StorageProvider):
|
||||
@staticmethod
|
||||
def upload_file(file: BinaryIO, filename: str) -> Tuple[bytes, str]:
|
||||
contents = file.read()
|
||||
if not contents:
|
||||
raise ValueError(ERROR_MESSAGES.EMPTY_CONTENT)
|
||||
file_path = f"{UPLOAD_DIR}/{filename}"
|
||||
with open(file_path, "wb") as f:
|
||||
f.write(contents)
|
||||
return contents, file_path
|
||||
|
||||
def _get_file_from_s3(self, file_path: str) -> str:
|
||||
"""Handles downloading of the file from S3 storage."""
|
||||
if not self.s3_client:
|
||||
raise RuntimeError("S3 Client is not initialized.")
|
||||
|
||||
try:
|
||||
bucket_name, key = file_path.split("//")[1].split("/")
|
||||
local_file_path = f"{UPLOAD_DIR}/{key}"
|
||||
self.s3_client.download_file(bucket_name, key, local_file_path)
|
||||
return local_file_path
|
||||
except ClientError as e:
|
||||
raise RuntimeError(f"Error downloading file from S3: {e}")
|
||||
|
||||
def _get_file_from_local(self, file_path: str) -> str:
|
||||
@staticmethod
|
||||
def get_file(file_path: str) -> str:
|
||||
"""Handles downloading of the file from local storage."""
|
||||
return file_path
|
||||
|
||||
def _delete_from_s3(self, filename: str) -> None:
|
||||
"""Handles deletion of the file from S3 storage."""
|
||||
if not self.s3_client:
|
||||
raise RuntimeError("S3 Client is not initialized.")
|
||||
|
||||
try:
|
||||
self.s3_client.delete_object(Bucket=self.bucket_name, Key=filename)
|
||||
except ClientError as e:
|
||||
raise RuntimeError(f"Error deleting file from S3: {e}")
|
||||
|
||||
def _delete_from_local(self, filename: str) -> None:
|
||||
@staticmethod
|
||||
def delete_file(file_path: str) -> None:
|
||||
"""Handles deletion of the file from local storage."""
|
||||
filename = file_path.split("/")[-1]
|
||||
file_path = f"{UPLOAD_DIR}/{filename}"
|
||||
if os.path.isfile(file_path):
|
||||
os.remove(file_path)
|
||||
else:
|
||||
print(f"File {file_path} not found in local storage.")
|
||||
|
||||
def _delete_all_from_s3(self) -> None:
|
||||
"""Handles deletion of all files from S3 storage."""
|
||||
if not self.s3_client:
|
||||
raise RuntimeError("S3 Client is not initialized.")
|
||||
|
||||
try:
|
||||
response = self.s3_client.list_objects_v2(Bucket=self.bucket_name)
|
||||
if "Contents" in response:
|
||||
for content in response["Contents"]:
|
||||
self.s3_client.delete_object(
|
||||
Bucket=self.bucket_name, Key=content["Key"]
|
||||
)
|
||||
except ClientError as e:
|
||||
raise RuntimeError(f"Error deleting all files from S3: {e}")
|
||||
|
||||
def _delete_all_from_local(self) -> None:
|
||||
@staticmethod
|
||||
def delete_all_files() -> None:
|
||||
"""Handles deletion of all files from local storage."""
|
||||
if os.path.exists(UPLOAD_DIR):
|
||||
for filename in os.listdir(UPLOAD_DIR):
|
||||
@@ -130,40 +83,154 @@ class StorageProvider:
|
||||
else:
|
||||
print(f"Directory {UPLOAD_DIR} not found in local storage.")
|
||||
|
||||
def upload_file(self, file: BinaryIO, filename: str) -> Tuple[bytes, str]:
|
||||
"""Uploads a file either to S3 or the local file system."""
|
||||
contents = file.read()
|
||||
if not contents:
|
||||
raise ValueError(ERROR_MESSAGES.EMPTY_CONTENT)
|
||||
contents, file_path = self._upload_to_local(contents, filename)
|
||||
|
||||
if self.storage_provider == "s3":
|
||||
return self._upload_to_s3(file_path, filename)
|
||||
return contents, file_path
|
||||
class S3StorageProvider(StorageProvider):
|
||||
def __init__(self):
|
||||
self.s3_client = boto3.client(
|
||||
"s3",
|
||||
region_name=S3_REGION_NAME,
|
||||
endpoint_url=S3_ENDPOINT_URL,
|
||||
aws_access_key_id=S3_ACCESS_KEY_ID,
|
||||
aws_secret_access_key=S3_SECRET_ACCESS_KEY,
|
||||
)
|
||||
self.bucket_name = S3_BUCKET_NAME
|
||||
self.key_prefix = S3_KEY_PREFIX if S3_KEY_PREFIX else ""
|
||||
|
||||
def upload_file(self, file: BinaryIO, filename: str) -> Tuple[bytes, str]:
|
||||
"""Handles uploading of the file to S3 storage."""
|
||||
_, file_path = LocalStorageProvider.upload_file(file, filename)
|
||||
try:
|
||||
s3_key = os.path.join(self.key_prefix, filename)
|
||||
self.s3_client.upload_file(file_path, self.bucket_name, s3_key)
|
||||
return (
|
||||
open(file_path, "rb").read(),
|
||||
"s3://" + self.bucket_name + "/" + s3_key,
|
||||
)
|
||||
except ClientError as e:
|
||||
raise RuntimeError(f"Error uploading file to S3: {e}")
|
||||
|
||||
def get_file(self, file_path: str) -> str:
|
||||
"""Downloads a file either from S3 or the local file system and returns the file path."""
|
||||
if self.storage_provider == "s3":
|
||||
return self._get_file_from_s3(file_path)
|
||||
return self._get_file_from_local(file_path)
|
||||
"""Handles downloading of the file from S3 storage."""
|
||||
try:
|
||||
s3_key = self._extract_s3_key(file_path)
|
||||
local_file_path = self._get_local_file_path(s3_key)
|
||||
self.s3_client.download_file(self.bucket_name, s3_key, local_file_path)
|
||||
return local_file_path
|
||||
except ClientError as e:
|
||||
raise RuntimeError(f"Error downloading file from S3: {e}")
|
||||
|
||||
def delete_file(self, file_path: str) -> None:
|
||||
"""Deletes a file either from S3 or the local file system."""
|
||||
filename = file_path.split("/")[-1]
|
||||
|
||||
if self.storage_provider == "s3":
|
||||
self._delete_from_s3(filename)
|
||||
"""Handles deletion of the file from S3 storage."""
|
||||
try:
|
||||
s3_key = self._extract_s3_key(file_path)
|
||||
self.s3_client.delete_object(Bucket=self.bucket_name, Key=s3_key)
|
||||
except ClientError as e:
|
||||
raise RuntimeError(f"Error deleting file from S3: {e}")
|
||||
|
||||
# Always delete from local storage
|
||||
self._delete_from_local(filename)
|
||||
LocalStorageProvider.delete_file(file_path)
|
||||
|
||||
def delete_all_files(self) -> None:
|
||||
"""Deletes all files from the storage."""
|
||||
if self.storage_provider == "s3":
|
||||
self._delete_all_from_s3()
|
||||
"""Handles deletion of all files from S3 storage."""
|
||||
try:
|
||||
response = self.s3_client.list_objects_v2(Bucket=self.bucket_name)
|
||||
if "Contents" in response:
|
||||
for content in response["Contents"]:
|
||||
# Skip objects that were not uploaded from open-webui in the first place
|
||||
if not content["Key"].startswith(self.key_prefix):
|
||||
continue
|
||||
|
||||
self.s3_client.delete_object(
|
||||
Bucket=self.bucket_name, Key=content["Key"]
|
||||
)
|
||||
except ClientError as e:
|
||||
raise RuntimeError(f"Error deleting all files from S3: {e}")
|
||||
|
||||
# Always delete from local storage
|
||||
self._delete_all_from_local()
|
||||
LocalStorageProvider.delete_all_files()
|
||||
|
||||
# The s3 key is the name assigned to an object. It excludes the bucket name, but includes the internal path and the file name.
|
||||
def _extract_s3_key(self, full_file_path: str) -> str:
|
||||
return "/".join(full_file_path.split("//")[1].split("/")[1:])
|
||||
|
||||
def _get_local_file_path(self, s3_key: str) -> str:
|
||||
return f"{UPLOAD_DIR}/{s3_key.split('/')[-1]}"
|
||||
|
||||
|
||||
Storage = StorageProvider(provider=STORAGE_PROVIDER)
|
||||
class GCSStorageProvider(StorageProvider):
|
||||
def __init__(self):
|
||||
self.bucket_name = GCS_BUCKET_NAME
|
||||
|
||||
if GOOGLE_APPLICATION_CREDENTIALS_JSON:
|
||||
self.gcs_client = storage.Client.from_service_account_info(
|
||||
info=json.loads(GOOGLE_APPLICATION_CREDENTIALS_JSON)
|
||||
)
|
||||
else:
|
||||
# if no credentials json is provided, credentials will be picked up from the environment
|
||||
# if running on local environment, credentials would be user credentials
|
||||
# if running on a Compute Engine instance, credentials would be from Google Metadata server
|
||||
self.gcs_client = storage.Client()
|
||||
self.bucket = self.gcs_client.bucket(GCS_BUCKET_NAME)
|
||||
|
||||
def upload_file(self, file: BinaryIO, filename: str) -> Tuple[bytes, str]:
|
||||
"""Handles uploading of the file to GCS storage."""
|
||||
contents, file_path = LocalStorageProvider.upload_file(file, filename)
|
||||
try:
|
||||
blob = self.bucket.blob(filename)
|
||||
blob.upload_from_filename(file_path)
|
||||
return contents, "gs://" + self.bucket_name + "/" + filename
|
||||
except GoogleCloudError as e:
|
||||
raise RuntimeError(f"Error uploading file to GCS: {e}")
|
||||
|
||||
def get_file(self, file_path: str) -> str:
|
||||
"""Handles downloading of the file from GCS storage."""
|
||||
try:
|
||||
filename = file_path.removeprefix("gs://").split("/")[1]
|
||||
local_file_path = f"{UPLOAD_DIR}/{filename}"
|
||||
blob = self.bucket.get_blob(filename)
|
||||
blob.download_to_filename(local_file_path)
|
||||
|
||||
return local_file_path
|
||||
except NotFound as e:
|
||||
raise RuntimeError(f"Error downloading file from GCS: {e}")
|
||||
|
||||
def delete_file(self, file_path: str) -> None:
|
||||
"""Handles deletion of the file from GCS storage."""
|
||||
try:
|
||||
filename = file_path.removeprefix("gs://").split("/")[1]
|
||||
blob = self.bucket.get_blob(filename)
|
||||
blob.delete()
|
||||
except NotFound as e:
|
||||
raise RuntimeError(f"Error deleting file from GCS: {e}")
|
||||
|
||||
# Always delete from local storage
|
||||
LocalStorageProvider.delete_file(file_path)
|
||||
|
||||
def delete_all_files(self) -> None:
|
||||
"""Handles deletion of all files from GCS storage."""
|
||||
try:
|
||||
blobs = self.bucket.list_blobs()
|
||||
|
||||
for blob in blobs:
|
||||
blob.delete()
|
||||
|
||||
except NotFound as e:
|
||||
raise RuntimeError(f"Error deleting all files from GCS: {e}")
|
||||
|
||||
# Always delete from local storage
|
||||
LocalStorageProvider.delete_all_files()
|
||||
|
||||
|
||||
def get_storage_provider(storage_provider: str):
|
||||
if storage_provider == "local":
|
||||
Storage = LocalStorageProvider()
|
||||
elif storage_provider == "s3":
|
||||
Storage = S3StorageProvider()
|
||||
elif storage_provider == "gcs":
|
||||
Storage = GCSStorageProvider()
|
||||
else:
|
||||
raise RuntimeError(f"Unsupported storage provider: {storage_provider}")
|
||||
return Storage
|
||||
|
||||
|
||||
Storage = get_storage_provider(STORAGE_PROVIDER)
|
||||
|
||||
@@ -0,0 +1,274 @@
|
||||
import io
|
||||
import os
|
||||
import boto3
|
||||
import pytest
|
||||
from botocore.exceptions import ClientError
|
||||
from moto import mock_aws
|
||||
from open_webui.storage import provider
|
||||
from gcp_storage_emulator.server import create_server
|
||||
from google.cloud import storage
|
||||
|
||||
|
||||
def mock_upload_dir(monkeypatch, tmp_path):
|
||||
"""Fixture to monkey-patch the UPLOAD_DIR and create a temporary directory."""
|
||||
directory = tmp_path / "uploads"
|
||||
directory.mkdir()
|
||||
monkeypatch.setattr(provider, "UPLOAD_DIR", str(directory))
|
||||
return directory
|
||||
|
||||
|
||||
def test_imports():
|
||||
provider.StorageProvider
|
||||
provider.LocalStorageProvider
|
||||
provider.S3StorageProvider
|
||||
provider.GCSStorageProvider
|
||||
provider.Storage
|
||||
|
||||
|
||||
def test_get_storage_provider():
|
||||
Storage = provider.get_storage_provider("local")
|
||||
assert isinstance(Storage, provider.LocalStorageProvider)
|
||||
Storage = provider.get_storage_provider("s3")
|
||||
assert isinstance(Storage, provider.S3StorageProvider)
|
||||
Storage = provider.get_storage_provider("gcs")
|
||||
assert isinstance(Storage, provider.GCSStorageProvider)
|
||||
with pytest.raises(RuntimeError):
|
||||
provider.get_storage_provider("invalid")
|
||||
|
||||
|
||||
def test_class_instantiation():
|
||||
with pytest.raises(TypeError):
|
||||
provider.StorageProvider()
|
||||
with pytest.raises(TypeError):
|
||||
|
||||
class Test(provider.StorageProvider):
|
||||
pass
|
||||
|
||||
Test()
|
||||
provider.LocalStorageProvider()
|
||||
provider.S3StorageProvider()
|
||||
provider.GCSStorageProvider()
|
||||
|
||||
|
||||
class TestLocalStorageProvider:
|
||||
Storage = provider.LocalStorageProvider()
|
||||
file_content = b"test content"
|
||||
file_bytesio = io.BytesIO(file_content)
|
||||
filename = "test.txt"
|
||||
filename_extra = "test_exyta.txt"
|
||||
file_bytesio_empty = io.BytesIO()
|
||||
|
||||
def test_upload_file(self, monkeypatch, tmp_path):
|
||||
upload_dir = mock_upload_dir(monkeypatch, tmp_path)
|
||||
contents, file_path = self.Storage.upload_file(self.file_bytesio, self.filename)
|
||||
assert (upload_dir / self.filename).exists()
|
||||
assert (upload_dir / self.filename).read_bytes() == self.file_content
|
||||
assert contents == self.file_content
|
||||
assert file_path == str(upload_dir / self.filename)
|
||||
with pytest.raises(ValueError):
|
||||
self.Storage.upload_file(self.file_bytesio_empty, self.filename)
|
||||
|
||||
def test_get_file(self, monkeypatch, tmp_path):
|
||||
upload_dir = mock_upload_dir(monkeypatch, tmp_path)
|
||||
file_path = str(upload_dir / self.filename)
|
||||
file_path_return = self.Storage.get_file(file_path)
|
||||
assert file_path == file_path_return
|
||||
|
||||
def test_delete_file(self, monkeypatch, tmp_path):
|
||||
upload_dir = mock_upload_dir(monkeypatch, tmp_path)
|
||||
(upload_dir / self.filename).write_bytes(self.file_content)
|
||||
assert (upload_dir / self.filename).exists()
|
||||
file_path = str(upload_dir / self.filename)
|
||||
self.Storage.delete_file(file_path)
|
||||
assert not (upload_dir / self.filename).exists()
|
||||
|
||||
def test_delete_all_files(self, monkeypatch, tmp_path):
|
||||
upload_dir = mock_upload_dir(monkeypatch, tmp_path)
|
||||
(upload_dir / self.filename).write_bytes(self.file_content)
|
||||
(upload_dir / self.filename_extra).write_bytes(self.file_content)
|
||||
self.Storage.delete_all_files()
|
||||
assert not (upload_dir / self.filename).exists()
|
||||
assert not (upload_dir / self.filename_extra).exists()
|
||||
|
||||
|
||||
@mock_aws
|
||||
class TestS3StorageProvider:
|
||||
|
||||
def __init__(self):
|
||||
self.Storage = provider.S3StorageProvider()
|
||||
self.Storage.bucket_name = "my-bucket"
|
||||
self.s3_client = boto3.resource("s3", region_name="us-east-1")
|
||||
self.file_content = b"test content"
|
||||
self.filename = "test.txt"
|
||||
self.filename_extra = "test_exyta.txt"
|
||||
self.file_bytesio_empty = io.BytesIO()
|
||||
super().__init__()
|
||||
|
||||
def test_upload_file(self, monkeypatch, tmp_path):
|
||||
upload_dir = mock_upload_dir(monkeypatch, tmp_path)
|
||||
# S3 checks
|
||||
with pytest.raises(Exception):
|
||||
self.Storage.upload_file(io.BytesIO(self.file_content), self.filename)
|
||||
self.s3_client.create_bucket(Bucket=self.Storage.bucket_name)
|
||||
contents, s3_file_path = self.Storage.upload_file(
|
||||
io.BytesIO(self.file_content), self.filename
|
||||
)
|
||||
object = self.s3_client.Object(self.Storage.bucket_name, self.filename)
|
||||
assert self.file_content == object.get()["Body"].read()
|
||||
# local checks
|
||||
assert (upload_dir / self.filename).exists()
|
||||
assert (upload_dir / self.filename).read_bytes() == self.file_content
|
||||
assert contents == self.file_content
|
||||
assert s3_file_path == "s3://" + self.Storage.bucket_name + "/" + self.filename
|
||||
with pytest.raises(ValueError):
|
||||
self.Storage.upload_file(self.file_bytesio_empty, self.filename)
|
||||
|
||||
def test_get_file(self, monkeypatch, tmp_path):
|
||||
upload_dir = mock_upload_dir(monkeypatch, tmp_path)
|
||||
self.s3_client.create_bucket(Bucket=self.Storage.bucket_name)
|
||||
contents, s3_file_path = self.Storage.upload_file(
|
||||
io.BytesIO(self.file_content), self.filename
|
||||
)
|
||||
file_path = self.Storage.get_file(s3_file_path)
|
||||
assert file_path == str(upload_dir / self.filename)
|
||||
assert (upload_dir / self.filename).exists()
|
||||
|
||||
def test_delete_file(self, monkeypatch, tmp_path):
|
||||
upload_dir = mock_upload_dir(monkeypatch, tmp_path)
|
||||
self.s3_client.create_bucket(Bucket=self.Storage.bucket_name)
|
||||
contents, s3_file_path = self.Storage.upload_file(
|
||||
io.BytesIO(self.file_content), self.filename
|
||||
)
|
||||
assert (upload_dir / self.filename).exists()
|
||||
self.Storage.delete_file(s3_file_path)
|
||||
assert not (upload_dir / self.filename).exists()
|
||||
with pytest.raises(ClientError) as exc:
|
||||
self.s3_client.Object(self.Storage.bucket_name, self.filename).load()
|
||||
error = exc.value.response["Error"]
|
||||
assert error["Code"] == "404"
|
||||
assert error["Message"] == "Not Found"
|
||||
|
||||
def test_delete_all_files(self, monkeypatch, tmp_path):
|
||||
upload_dir = mock_upload_dir(monkeypatch, tmp_path)
|
||||
# create 2 files
|
||||
self.s3_client.create_bucket(Bucket=self.Storage.bucket_name)
|
||||
self.Storage.upload_file(io.BytesIO(self.file_content), self.filename)
|
||||
object = self.s3_client.Object(self.Storage.bucket_name, self.filename)
|
||||
assert self.file_content == object.get()["Body"].read()
|
||||
assert (upload_dir / self.filename).exists()
|
||||
assert (upload_dir / self.filename).read_bytes() == self.file_content
|
||||
self.Storage.upload_file(io.BytesIO(self.file_content), self.filename_extra)
|
||||
object = self.s3_client.Object(self.Storage.bucket_name, self.filename_extra)
|
||||
assert self.file_content == object.get()["Body"].read()
|
||||
assert (upload_dir / self.filename).exists()
|
||||
assert (upload_dir / self.filename).read_bytes() == self.file_content
|
||||
|
||||
self.Storage.delete_all_files()
|
||||
assert not (upload_dir / self.filename).exists()
|
||||
with pytest.raises(ClientError) as exc:
|
||||
self.s3_client.Object(self.Storage.bucket_name, self.filename).load()
|
||||
error = exc.value.response["Error"]
|
||||
assert error["Code"] == "404"
|
||||
assert error["Message"] == "Not Found"
|
||||
assert not (upload_dir / self.filename_extra).exists()
|
||||
with pytest.raises(ClientError) as exc:
|
||||
self.s3_client.Object(self.Storage.bucket_name, self.filename_extra).load()
|
||||
error = exc.value.response["Error"]
|
||||
assert error["Code"] == "404"
|
||||
assert error["Message"] == "Not Found"
|
||||
|
||||
self.Storage.delete_all_files()
|
||||
assert not (upload_dir / self.filename).exists()
|
||||
assert not (upload_dir / self.filename_extra).exists()
|
||||
|
||||
|
||||
class TestGCSStorageProvider:
|
||||
Storage = provider.GCSStorageProvider()
|
||||
Storage.bucket_name = "my-bucket"
|
||||
file_content = b"test content"
|
||||
filename = "test.txt"
|
||||
filename_extra = "test_exyta.txt"
|
||||
file_bytesio_empty = io.BytesIO()
|
||||
|
||||
@pytest.fixture(scope="class")
|
||||
def setup(self):
|
||||
host, port = "localhost", 9023
|
||||
|
||||
server = create_server(host, port, in_memory=True)
|
||||
server.start()
|
||||
os.environ["STORAGE_EMULATOR_HOST"] = f"http://{host}:{port}"
|
||||
|
||||
gcs_client = storage.Client()
|
||||
bucket = gcs_client.bucket(self.Storage.bucket_name)
|
||||
bucket.create()
|
||||
self.Storage.gcs_client, self.Storage.bucket = gcs_client, bucket
|
||||
yield
|
||||
bucket.delete(force=True)
|
||||
server.stop()
|
||||
|
||||
def test_upload_file(self, monkeypatch, tmp_path, setup):
|
||||
upload_dir = mock_upload_dir(monkeypatch, tmp_path)
|
||||
# catch error if bucket does not exist
|
||||
with pytest.raises(Exception):
|
||||
self.Storage.bucket = monkeypatch(self.Storage, "bucket", None)
|
||||
self.Storage.upload_file(io.BytesIO(self.file_content), self.filename)
|
||||
contents, gcs_file_path = self.Storage.upload_file(
|
||||
io.BytesIO(self.file_content), self.filename
|
||||
)
|
||||
object = self.Storage.bucket.get_blob(self.filename)
|
||||
assert self.file_content == object.download_as_bytes()
|
||||
# local checks
|
||||
assert (upload_dir / self.filename).exists()
|
||||
assert (upload_dir / self.filename).read_bytes() == self.file_content
|
||||
assert contents == self.file_content
|
||||
assert gcs_file_path == "gs://" + self.Storage.bucket_name + "/" + self.filename
|
||||
# test error if file is empty
|
||||
with pytest.raises(ValueError):
|
||||
self.Storage.upload_file(self.file_bytesio_empty, self.filename)
|
||||
|
||||
def test_get_file(self, monkeypatch, tmp_path, setup):
|
||||
upload_dir = mock_upload_dir(monkeypatch, tmp_path)
|
||||
contents, gcs_file_path = self.Storage.upload_file(
|
||||
io.BytesIO(self.file_content), self.filename
|
||||
)
|
||||
file_path = self.Storage.get_file(gcs_file_path)
|
||||
assert file_path == str(upload_dir / self.filename)
|
||||
assert (upload_dir / self.filename).exists()
|
||||
|
||||
def test_delete_file(self, monkeypatch, tmp_path, setup):
|
||||
upload_dir = mock_upload_dir(monkeypatch, tmp_path)
|
||||
contents, gcs_file_path = self.Storage.upload_file(
|
||||
io.BytesIO(self.file_content), self.filename
|
||||
)
|
||||
# ensure that local directory has the uploaded file as well
|
||||
assert (upload_dir / self.filename).exists()
|
||||
assert self.Storage.bucket.get_blob(self.filename).name == self.filename
|
||||
self.Storage.delete_file(gcs_file_path)
|
||||
# check that deleting file from gcs will delete the local file as well
|
||||
assert not (upload_dir / self.filename).exists()
|
||||
assert self.Storage.bucket.get_blob(self.filename) == None
|
||||
|
||||
def test_delete_all_files(self, monkeypatch, tmp_path, setup):
|
||||
upload_dir = mock_upload_dir(monkeypatch, tmp_path)
|
||||
# create 2 files
|
||||
self.Storage.upload_file(io.BytesIO(self.file_content), self.filename)
|
||||
object = self.Storage.bucket.get_blob(self.filename)
|
||||
assert (upload_dir / self.filename).exists()
|
||||
assert (upload_dir / self.filename).read_bytes() == self.file_content
|
||||
assert self.Storage.bucket.get_blob(self.filename).name == self.filename
|
||||
assert self.file_content == object.download_as_bytes()
|
||||
self.Storage.upload_file(io.BytesIO(self.file_content), self.filename_extra)
|
||||
object = self.Storage.bucket.get_blob(self.filename_extra)
|
||||
assert (upload_dir / self.filename_extra).exists()
|
||||
assert (upload_dir / self.filename_extra).read_bytes() == self.file_content
|
||||
assert (
|
||||
self.Storage.bucket.get_blob(self.filename_extra).name
|
||||
== self.filename_extra
|
||||
)
|
||||
assert self.file_content == object.download_as_bytes()
|
||||
|
||||
self.Storage.delete_all_files()
|
||||
assert not (upload_dir / self.filename).exists()
|
||||
assert not (upload_dir / self.filename_extra).exists()
|
||||
assert self.Storage.bucket.get_blob(self.filename) == None
|
||||
assert self.Storage.bucket.get_blob(self.filename_extra) == None
|
||||
@@ -1,9 +1,30 @@
|
||||
from typing import Optional, Union, List, Dict, Any
|
||||
from open_webui.models.users import Users, UserModel
|
||||
from open_webui.models.groups import Groups
|
||||
|
||||
|
||||
from open_webui.config import DEFAULT_USER_PERMISSIONS
|
||||
import json
|
||||
|
||||
|
||||
def fill_missing_permissions(
|
||||
permissions: Dict[str, Any], default_permissions: Dict[str, Any]
|
||||
) -> Dict[str, Any]:
|
||||
"""
|
||||
Recursively fills in missing properties in the permissions dictionary
|
||||
using the default permissions as a template.
|
||||
"""
|
||||
for key, value in default_permissions.items():
|
||||
if key not in permissions:
|
||||
permissions[key] = value
|
||||
elif isinstance(value, dict) and isinstance(
|
||||
permissions[key], dict
|
||||
): # Both are nested dictionaries
|
||||
permissions[key] = fill_missing_permissions(permissions[key], value)
|
||||
|
||||
return permissions
|
||||
|
||||
|
||||
def get_permissions(
|
||||
user_id: str,
|
||||
default_permissions: Dict[str, Any],
|
||||
@@ -27,39 +48,45 @@ def get_permissions(
|
||||
if key not in permissions:
|
||||
permissions[key] = value
|
||||
else:
|
||||
permissions[key] = permissions[key] or value
|
||||
permissions[key] = (
|
||||
permissions[key] or value
|
||||
) # Use the most permissive value (True > False)
|
||||
return permissions
|
||||
|
||||
user_groups = Groups.get_groups_by_member_id(user_id)
|
||||
|
||||
# deep copy default permissions to avoid modifying the original dict
|
||||
# Deep copy default permissions to avoid modifying the original dict
|
||||
permissions = json.loads(json.dumps(default_permissions))
|
||||
|
||||
# Combine permissions from all user groups
|
||||
for group in user_groups:
|
||||
group_permissions = group.permissions
|
||||
permissions = combine_permissions(permissions, group_permissions)
|
||||
|
||||
# Ensure all fields from default_permissions are present and filled in
|
||||
permissions = fill_missing_permissions(permissions, default_permissions)
|
||||
|
||||
return permissions
|
||||
|
||||
|
||||
def has_permission(
|
||||
user_id: str,
|
||||
permission_key: str,
|
||||
default_permissions: Dict[str, bool] = {},
|
||||
default_permissions: Dict[str, Any] = {},
|
||||
) -> bool:
|
||||
"""
|
||||
Check if a user has a specific permission by checking the group permissions
|
||||
and falls back to default permissions if not found in any group.
|
||||
and fall back to default permissions if not found in any group.
|
||||
|
||||
Permission keys can be hierarchical and separated by dots ('.').
|
||||
"""
|
||||
|
||||
def get_permission(permissions: Dict[str, bool], keys: List[str]) -> bool:
|
||||
def get_permission(permissions: Dict[str, Any], keys: List[str]) -> bool:
|
||||
"""Traverse permissions dict using a list of keys (from dot-split permission_key)."""
|
||||
for key in keys:
|
||||
if key not in permissions:
|
||||
return False # If any part of the hierarchy is missing, deny access
|
||||
permissions = permissions[key] # Go one level deeper
|
||||
permissions = permissions[key] # Traverse one level deeper
|
||||
|
||||
return bool(permissions) # Return the boolean at the final level
|
||||
|
||||
@@ -73,7 +100,10 @@ def has_permission(
|
||||
if get_permission(group_permissions, permission_hierarchy):
|
||||
return True
|
||||
|
||||
# Check default permissions afterwards if the group permissions don't allow it
|
||||
# Check default permissions afterward if the group permissions don't allow it
|
||||
default_permissions = fill_missing_permissions(
|
||||
default_permissions, DEFAULT_USER_PERMISSIONS
|
||||
)
|
||||
return get_permission(default_permissions, permission_hierarchy)
|
||||
|
||||
|
||||
|
||||
+239
-182
@@ -7,14 +7,17 @@ from typing import Any, Optional
|
||||
import random
|
||||
import json
|
||||
import inspect
|
||||
import uuid
|
||||
import asyncio
|
||||
|
||||
from fastapi import Request
|
||||
from starlette.responses import Response, StreamingResponse
|
||||
from fastapi import Request, status
|
||||
from starlette.responses import Response, StreamingResponse, JSONResponse
|
||||
|
||||
|
||||
from open_webui.models.users import UserModel
|
||||
|
||||
from open_webui.socket.main import (
|
||||
sio,
|
||||
get_event_call,
|
||||
get_event_emitter,
|
||||
)
|
||||
@@ -44,6 +47,10 @@ from open_webui.utils.response import (
|
||||
convert_response_ollama_to_openai,
|
||||
convert_streaming_response_ollama_to_openai,
|
||||
)
|
||||
from open_webui.utils.filter import (
|
||||
get_sorted_filter_ids,
|
||||
process_filter_functions,
|
||||
)
|
||||
|
||||
from open_webui.env import SRC_LOG_LEVELS, GLOBAL_LOG_LEVEL, BYPASS_MODEL_ACCESS_CONTROL
|
||||
|
||||
@@ -53,6 +60,101 @@ log = logging.getLogger(__name__)
|
||||
log.setLevel(SRC_LOG_LEVELS["MAIN"])
|
||||
|
||||
|
||||
async def generate_direct_chat_completion(
|
||||
request: Request,
|
||||
form_data: dict,
|
||||
user: Any,
|
||||
models: dict,
|
||||
):
|
||||
print("generate_direct_chat_completion")
|
||||
|
||||
metadata = form_data.pop("metadata", {})
|
||||
|
||||
user_id = metadata.get("user_id")
|
||||
session_id = metadata.get("session_id")
|
||||
request_id = str(uuid.uuid4()) # Generate a unique request ID
|
||||
|
||||
event_caller = get_event_call(metadata)
|
||||
|
||||
channel = f"{user_id}:{session_id}:{request_id}"
|
||||
|
||||
if form_data.get("stream"):
|
||||
q = asyncio.Queue()
|
||||
|
||||
async def message_listener(sid, data):
|
||||
"""
|
||||
Handle received socket messages and push them into the queue.
|
||||
"""
|
||||
await q.put(data)
|
||||
|
||||
# Register the listener
|
||||
sio.on(channel, message_listener)
|
||||
|
||||
# Start processing chat completion in background
|
||||
res = await event_caller(
|
||||
{
|
||||
"type": "request:chat:completion",
|
||||
"data": {
|
||||
"form_data": form_data,
|
||||
"model": models[form_data["model"]],
|
||||
"channel": channel,
|
||||
"session_id": session_id,
|
||||
},
|
||||
}
|
||||
)
|
||||
|
||||
print("res", res)
|
||||
|
||||
if res.get("status", False):
|
||||
# Define a generator to stream responses
|
||||
async def event_generator():
|
||||
nonlocal q
|
||||
try:
|
||||
while True:
|
||||
data = await q.get() # Wait for new messages
|
||||
if isinstance(data, dict):
|
||||
if "done" in data and data["done"]:
|
||||
break # Stop streaming when 'done' is received
|
||||
|
||||
yield f"data: {json.dumps(data)}\n\n"
|
||||
elif isinstance(data, str):
|
||||
yield data
|
||||
except Exception as e:
|
||||
log.debug(f"Error in event generator: {e}")
|
||||
pass
|
||||
|
||||
# Define a background task to run the event generator
|
||||
async def background():
|
||||
try:
|
||||
del sio.handlers["/"][channel]
|
||||
except Exception as e:
|
||||
pass
|
||||
|
||||
# Return the streaming response
|
||||
return StreamingResponse(
|
||||
event_generator(), media_type="text/event-stream", background=background
|
||||
)
|
||||
else:
|
||||
raise Exception(str(res))
|
||||
else:
|
||||
res = await event_caller(
|
||||
{
|
||||
"type": "request:chat:completion",
|
||||
"data": {
|
||||
"form_data": form_data,
|
||||
"model": models[form_data["model"]],
|
||||
"channel": channel,
|
||||
"session_id": session_id,
|
||||
},
|
||||
}
|
||||
)
|
||||
|
||||
if "error" in res:
|
||||
raise Exception(res["error"])
|
||||
|
||||
return res
|
||||
|
||||
|
||||
async def generate_chat_completion(
|
||||
request: Request,
|
||||
form_data: dict,
|
||||
@@ -62,7 +164,16 @@ async def generate_chat_completion(
|
||||
if BYPASS_MODEL_ACCESS_CONTROL:
|
||||
bypass_filter = True
|
||||
|
||||
models = request.app.state.MODELS
|
||||
if hasattr(request.state, "metadata"):
|
||||
form_data["metadata"] = request.state.metadata
|
||||
|
||||
if getattr(request.state, "direct", False) and hasattr(request.state, "model"):
|
||||
models = {
|
||||
request.state.model["id"]: request.state.model,
|
||||
}
|
||||
log.debug(f"direct connection to model: {models}")
|
||||
else:
|
||||
models = request.app.state.MODELS
|
||||
|
||||
model_id = form_data["model"]
|
||||
if model_id not in models:
|
||||
@@ -83,78 +194,90 @@ async def generate_chat_completion(
|
||||
except Exception as e:
|
||||
raise e
|
||||
|
||||
if model["owned_by"] == "arena":
|
||||
model_ids = model.get("info", {}).get("meta", {}).get("model_ids")
|
||||
filter_mode = model.get("info", {}).get("meta", {}).get("filter_mode")
|
||||
if model_ids and filter_mode == "exclude":
|
||||
model_ids = [
|
||||
model["id"]
|
||||
for model in list(request.app.state.MODELS.values())
|
||||
if model.get("owned_by") != "arena" and model["id"] not in model_ids
|
||||
]
|
||||
|
||||
selected_model_id = None
|
||||
if isinstance(model_ids, list) and model_ids:
|
||||
selected_model_id = random.choice(model_ids)
|
||||
else:
|
||||
model_ids = [
|
||||
model["id"]
|
||||
for model in list(request.app.state.MODELS.values())
|
||||
if model.get("owned_by") != "arena"
|
||||
]
|
||||
selected_model_id = random.choice(model_ids)
|
||||
|
||||
form_data["model"] = selected_model_id
|
||||
|
||||
if form_data.get("stream") == True:
|
||||
|
||||
async def stream_wrapper(stream):
|
||||
yield f"data: {json.dumps({'selected_model_id': selected_model_id})}\n\n"
|
||||
async for chunk in stream:
|
||||
yield chunk
|
||||
|
||||
response = await generate_chat_completion(
|
||||
request, form_data, user, bypass_filter=True
|
||||
)
|
||||
return StreamingResponse(
|
||||
stream_wrapper(response.body_iterator),
|
||||
media_type="text/event-stream",
|
||||
background=response.background,
|
||||
)
|
||||
else:
|
||||
return {
|
||||
**(
|
||||
await generate_chat_completion(
|
||||
request, form_data, user, bypass_filter=True
|
||||
)
|
||||
),
|
||||
"selected_model_id": selected_model_id,
|
||||
}
|
||||
|
||||
if model.get("pipe"):
|
||||
# Below does not require bypass_filter because this is the only route the uses this function and it is already bypassing the filter
|
||||
return await generate_function_chat_completion(
|
||||
if getattr(request.state, "direct", False):
|
||||
return await generate_direct_chat_completion(
|
||||
request, form_data, user=user, models=models
|
||||
)
|
||||
if model["owned_by"] == "ollama":
|
||||
# Using /ollama/api/chat endpoint
|
||||
form_data = convert_payload_openai_to_ollama(form_data)
|
||||
response = await generate_ollama_chat_completion(
|
||||
request=request, form_data=form_data, user=user, bypass_filter=bypass_filter
|
||||
)
|
||||
if form_data.get("stream"):
|
||||
response.headers["content-type"] = "text/event-stream"
|
||||
return StreamingResponse(
|
||||
convert_streaming_response_ollama_to_openai(response),
|
||||
headers=dict(response.headers),
|
||||
background=response.background,
|
||||
)
|
||||
else:
|
||||
return convert_response_ollama_to_openai(response)
|
||||
|
||||
else:
|
||||
return await generate_openai_chat_completion(
|
||||
request=request, form_data=form_data, user=user, bypass_filter=bypass_filter
|
||||
)
|
||||
if model["owned_by"] == "arena":
|
||||
model_ids = model.get("info", {}).get("meta", {}).get("model_ids")
|
||||
filter_mode = model.get("info", {}).get("meta", {}).get("filter_mode")
|
||||
if model_ids and filter_mode == "exclude":
|
||||
model_ids = [
|
||||
model["id"]
|
||||
for model in list(request.app.state.MODELS.values())
|
||||
if model.get("owned_by") != "arena" and model["id"] not in model_ids
|
||||
]
|
||||
|
||||
selected_model_id = None
|
||||
if isinstance(model_ids, list) and model_ids:
|
||||
selected_model_id = random.choice(model_ids)
|
||||
else:
|
||||
model_ids = [
|
||||
model["id"]
|
||||
for model in list(request.app.state.MODELS.values())
|
||||
if model.get("owned_by") != "arena"
|
||||
]
|
||||
selected_model_id = random.choice(model_ids)
|
||||
|
||||
form_data["model"] = selected_model_id
|
||||
|
||||
if form_data.get("stream") == True:
|
||||
|
||||
async def stream_wrapper(stream):
|
||||
yield f"data: {json.dumps({'selected_model_id': selected_model_id})}\n\n"
|
||||
async for chunk in stream:
|
||||
yield chunk
|
||||
|
||||
response = await generate_chat_completion(
|
||||
request, form_data, user, bypass_filter=True
|
||||
)
|
||||
return StreamingResponse(
|
||||
stream_wrapper(response.body_iterator),
|
||||
media_type="text/event-stream",
|
||||
background=response.background,
|
||||
)
|
||||
else:
|
||||
return {
|
||||
**(
|
||||
await generate_chat_completion(
|
||||
request, form_data, user, bypass_filter=True
|
||||
)
|
||||
),
|
||||
"selected_model_id": selected_model_id,
|
||||
}
|
||||
|
||||
if model.get("pipe"):
|
||||
# Below does not require bypass_filter because this is the only route the uses this function and it is already bypassing the filter
|
||||
return await generate_function_chat_completion(
|
||||
request, form_data, user=user, models=models
|
||||
)
|
||||
if model["owned_by"] == "ollama":
|
||||
# Using /ollama/api/chat endpoint
|
||||
form_data = convert_payload_openai_to_ollama(form_data)
|
||||
response = await generate_ollama_chat_completion(
|
||||
request=request,
|
||||
form_data=form_data,
|
||||
user=user,
|
||||
bypass_filter=bypass_filter,
|
||||
)
|
||||
if form_data.get("stream"):
|
||||
response.headers["content-type"] = "text/event-stream"
|
||||
return StreamingResponse(
|
||||
convert_streaming_response_ollama_to_openai(response),
|
||||
headers=dict(response.headers),
|
||||
background=response.background,
|
||||
)
|
||||
else:
|
||||
return convert_response_ollama_to_openai(response)
|
||||
else:
|
||||
return await generate_openai_chat_completion(
|
||||
request=request,
|
||||
form_data=form_data,
|
||||
user=user,
|
||||
bypass_filter=bypass_filter,
|
||||
)
|
||||
|
||||
|
||||
chat_completion = generate_chat_completion
|
||||
@@ -163,7 +286,13 @@ chat_completion = generate_chat_completion
|
||||
async def chat_completed(request: Request, form_data: dict, user: Any):
|
||||
if not request.app.state.MODELS:
|
||||
await get_all_models(request)
|
||||
models = request.app.state.MODELS
|
||||
|
||||
if getattr(request.state, "direct", False) and hasattr(request.state, "model"):
|
||||
models = {
|
||||
request.state.model["id"]: request.state.model,
|
||||
}
|
||||
else:
|
||||
models = request.app.state.MODELS
|
||||
|
||||
data = form_data
|
||||
model_id = data["model"]
|
||||
@@ -177,116 +306,38 @@ async def chat_completed(request: Request, form_data: dict, user: Any):
|
||||
except Exception as e:
|
||||
return Exception(f"Error: {e}")
|
||||
|
||||
__event_emitter__ = get_event_emitter(
|
||||
{
|
||||
"chat_id": data["chat_id"],
|
||||
"message_id": data["id"],
|
||||
"session_id": data["session_id"],
|
||||
"user_id": user.id,
|
||||
}
|
||||
)
|
||||
metadata = {
|
||||
"chat_id": data["chat_id"],
|
||||
"message_id": data["id"],
|
||||
"session_id": data["session_id"],
|
||||
"user_id": user.id,
|
||||
}
|
||||
|
||||
__event_call__ = get_event_call(
|
||||
{
|
||||
"chat_id": data["chat_id"],
|
||||
"message_id": data["id"],
|
||||
"session_id": data["session_id"],
|
||||
"user_id": user.id,
|
||||
}
|
||||
)
|
||||
extra_params = {
|
||||
"__event_emitter__": get_event_emitter(metadata),
|
||||
"__event_call__": get_event_call(metadata),
|
||||
"__user__": {
|
||||
"id": user.id,
|
||||
"email": user.email,
|
||||
"name": user.name,
|
||||
"role": user.role,
|
||||
},
|
||||
"__metadata__": metadata,
|
||||
"__request__": request,
|
||||
"__model__": model,
|
||||
}
|
||||
|
||||
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 request.app.state.FUNCTIONS:
|
||||
function_module = request.app.state.FUNCTIONS[filter_id]
|
||||
else:
|
||||
function_module, _, _ = load_function_module_by_id(filter_id)
|
||||
request.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__,
|
||||
"__request__": request,
|
||||
}
|
||||
|
||||
# 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:
|
||||
return Exception(f"Error: {e}")
|
||||
|
||||
return data
|
||||
try:
|
||||
result, _ = await process_filter_functions(
|
||||
request=request,
|
||||
filter_ids=get_sorted_filter_ids(model),
|
||||
filter_type="outlet",
|
||||
form_data=data,
|
||||
extra_params=extra_params,
|
||||
)
|
||||
return result
|
||||
except Exception as e:
|
||||
return Exception(f"Error: {e}")
|
||||
|
||||
|
||||
async def chat_action(request: Request, action_id: str, form_data: dict, user: Any):
|
||||
@@ -301,7 +352,13 @@ async def chat_action(request: Request, action_id: str, form_data: dict, user: A
|
||||
|
||||
if not request.app.state.MODELS:
|
||||
await get_all_models(request)
|
||||
models = request.app.state.MODELS
|
||||
|
||||
if getattr(request.state, "direct", False) and hasattr(request.state, "model"):
|
||||
models = {
|
||||
request.state.model["id"]: request.state.model,
|
||||
}
|
||||
else:
|
||||
models = request.app.state.MODELS
|
||||
|
||||
data = form_data
|
||||
model_id = data["model"]
|
||||
|
||||
@@ -0,0 +1,148 @@
|
||||
import asyncio
|
||||
import json
|
||||
import uuid
|
||||
import websockets
|
||||
import requests
|
||||
from urllib.parse import urljoin
|
||||
|
||||
|
||||
async def execute_code_jupyter(
|
||||
jupyter_url, code, token=None, password=None, timeout=10
|
||||
):
|
||||
"""
|
||||
Executes Python code in a Jupyter kernel.
|
||||
Supports authentication with a token or password.
|
||||
:param jupyter_url: Jupyter server URL (e.g., "http://localhost:8888")
|
||||
:param code: Code to execute
|
||||
:param token: Jupyter authentication token (optional)
|
||||
:param password: Jupyter password (optional)
|
||||
:param timeout: WebSocket timeout in seconds (default: 10s)
|
||||
:return: Dictionary with stdout, stderr, and result
|
||||
- Images are prefixed with "base64:image/png," and separated by newlines if multiple.
|
||||
"""
|
||||
session = requests.Session() # Maintain cookies
|
||||
headers = {} # Headers for requests
|
||||
|
||||
# Authenticate using password
|
||||
if password and not token:
|
||||
try:
|
||||
login_url = urljoin(jupyter_url, "/login")
|
||||
response = session.get(login_url)
|
||||
response.raise_for_status()
|
||||
xsrf_token = session.cookies.get("_xsrf")
|
||||
if not xsrf_token:
|
||||
raise ValueError("Failed to fetch _xsrf token")
|
||||
|
||||
login_data = {"_xsrf": xsrf_token, "password": password}
|
||||
login_response = session.post(
|
||||
login_url, data=login_data, cookies=session.cookies
|
||||
)
|
||||
login_response.raise_for_status()
|
||||
headers["X-XSRFToken"] = xsrf_token
|
||||
except Exception as e:
|
||||
return {
|
||||
"stdout": "",
|
||||
"stderr": f"Authentication Error: {str(e)}",
|
||||
"result": "",
|
||||
}
|
||||
|
||||
# Construct API URLs with authentication token if provided
|
||||
params = f"?token={token}" if token else ""
|
||||
kernel_url = urljoin(jupyter_url, f"/api/kernels{params}")
|
||||
|
||||
try:
|
||||
response = session.post(kernel_url, headers=headers, cookies=session.cookies)
|
||||
response.raise_for_status()
|
||||
kernel_id = response.json()["id"]
|
||||
|
||||
websocket_url = urljoin(
|
||||
jupyter_url.replace("http", "ws"),
|
||||
f"/api/kernels/{kernel_id}/channels{params}",
|
||||
)
|
||||
|
||||
ws_headers = {}
|
||||
if password and not token:
|
||||
ws_headers["X-XSRFToken"] = session.cookies.get("_xsrf")
|
||||
cookies = {name: value for name, value in session.cookies.items()}
|
||||
ws_headers["Cookie"] = "; ".join(
|
||||
[f"{name}={value}" for name, value in cookies.items()]
|
||||
)
|
||||
|
||||
async with websockets.connect(
|
||||
websocket_url, additional_headers=ws_headers
|
||||
) as ws:
|
||||
msg_id = str(uuid.uuid4())
|
||||
execute_request = {
|
||||
"header": {
|
||||
"msg_id": msg_id,
|
||||
"msg_type": "execute_request",
|
||||
"username": "user",
|
||||
"session": str(uuid.uuid4()),
|
||||
"date": "",
|
||||
"version": "5.3",
|
||||
},
|
||||
"parent_header": {},
|
||||
"metadata": {},
|
||||
"content": {
|
||||
"code": code,
|
||||
"silent": False,
|
||||
"store_history": True,
|
||||
"user_expressions": {},
|
||||
"allow_stdin": False,
|
||||
"stop_on_error": True,
|
||||
},
|
||||
"channel": "shell",
|
||||
}
|
||||
await ws.send(json.dumps(execute_request))
|
||||
|
||||
stdout, stderr, result = "", "", []
|
||||
|
||||
while True:
|
||||
try:
|
||||
message = await asyncio.wait_for(ws.recv(), timeout)
|
||||
message_data = json.loads(message)
|
||||
if message_data.get("parent_header", {}).get("msg_id") == msg_id:
|
||||
msg_type = message_data.get("msg_type")
|
||||
|
||||
if msg_type == "stream":
|
||||
if message_data["content"]["name"] == "stdout":
|
||||
stdout += message_data["content"]["text"]
|
||||
elif message_data["content"]["name"] == "stderr":
|
||||
stderr += message_data["content"]["text"]
|
||||
|
||||
elif msg_type in ("execute_result", "display_data"):
|
||||
data = message_data["content"]["data"]
|
||||
if "image/png" in data:
|
||||
result.append(
|
||||
f"data:image/png;base64,{data['image/png']}"
|
||||
)
|
||||
elif "text/plain" in data:
|
||||
result.append(data["text/plain"])
|
||||
|
||||
elif msg_type == "error":
|
||||
stderr += "\n".join(message_data["content"]["traceback"])
|
||||
|
||||
elif (
|
||||
msg_type == "status"
|
||||
and message_data["content"]["execution_state"] == "idle"
|
||||
):
|
||||
break
|
||||
|
||||
except asyncio.TimeoutError:
|
||||
stderr += "\nExecution timed out."
|
||||
break
|
||||
|
||||
except Exception as e:
|
||||
return {"stdout": "", "stderr": f"Error: {str(e)}", "result": ""}
|
||||
|
||||
finally:
|
||||
if kernel_id:
|
||||
requests.delete(
|
||||
f"{kernel_url}/{kernel_id}", headers=headers, cookies=session.cookies
|
||||
)
|
||||
|
||||
return {
|
||||
"stdout": stdout.strip(),
|
||||
"stderr": stderr.strip(),
|
||||
"result": "\n".join(result).strip() if result else "",
|
||||
}
|
||||
@@ -0,0 +1,99 @@
|
||||
import inspect
|
||||
from open_webui.utils.plugin import load_function_module_by_id
|
||||
from open_webui.models.functions import Functions
|
||||
|
||||
|
||||
def get_sorted_filter_ids(model):
|
||||
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 = [fid for fid in filter_ids if fid in enabled_filter_ids]
|
||||
filter_ids.sort(key=get_priority)
|
||||
return filter_ids
|
||||
|
||||
|
||||
async def process_filter_functions(
|
||||
request, filter_ids, filter_type, form_data, extra_params
|
||||
):
|
||||
skip_files = None
|
||||
|
||||
for filter_id in filter_ids:
|
||||
filter = Functions.get_function_by_id(filter_id)
|
||||
if not filter:
|
||||
continue
|
||||
|
||||
if filter_id in request.app.state.FUNCTIONS:
|
||||
function_module = request.app.state.FUNCTIONS[filter_id]
|
||||
else:
|
||||
function_module, _, _ = load_function_module_by_id(filter_id)
|
||||
request.app.state.FUNCTIONS[filter_id] = function_module
|
||||
|
||||
# Check if the function has a file_handler variable
|
||||
if filter_type == "inlet" and hasattr(function_module, "file_handler"):
|
||||
skip_files = function_module.file_handler
|
||||
|
||||
# Apply valves to the function
|
||||
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 {})
|
||||
)
|
||||
|
||||
# Prepare handler function
|
||||
handler = getattr(function_module, filter_type, None)
|
||||
if not handler:
|
||||
continue
|
||||
|
||||
try:
|
||||
# Prepare parameters
|
||||
sig = inspect.signature(handler)
|
||||
params = {"body": form_data} | {
|
||||
k: v
|
||||
for k, v in {
|
||||
**extra_params,
|
||||
"__id__": filter_id,
|
||||
}.items()
|
||||
if k in sig.parameters
|
||||
}
|
||||
|
||||
# Handle user parameters
|
||||
if "__user__" in sig.parameters:
|
||||
if hasattr(function_module, "UserValves"):
|
||||
try:
|
||||
params["__user__"]["valves"] = function_module.UserValves(
|
||||
**Functions.get_user_valves_by_id_and_user_id(
|
||||
filter_id, params["__user__"]["id"]
|
||||
)
|
||||
)
|
||||
except Exception as e:
|
||||
print(e)
|
||||
|
||||
# Execute handler
|
||||
if inspect.iscoroutinefunction(handler):
|
||||
form_data = await handler(**params)
|
||||
else:
|
||||
form_data = handler(**params)
|
||||
|
||||
except Exception as e:
|
||||
print(f"Error in {filter_type} handler {filter_id}: {e}")
|
||||
raise e
|
||||
|
||||
# Handle file cleanup for inlet
|
||||
if skip_files and "files" in form_data.get("metadata", {}):
|
||||
del form_data["metadata"]["files"]
|
||||
|
||||
return form_data, {}
|
||||
@@ -161,7 +161,7 @@ async def comfyui_generate_image(
|
||||
seed = (
|
||||
payload.seed
|
||||
if payload.seed
|
||||
else random.randint(0, 18446744073709551614)
|
||||
else random.randint(0, 1125899906842624)
|
||||
)
|
||||
for node_id in node.node_ids:
|
||||
workflow[node_id]["inputs"][node.key] = seed
|
||||
|
||||
+1072
-266
File diff suppressed because it is too large
Load Diff
@@ -7,6 +7,18 @@ from pathlib import Path
|
||||
from typing import Callable, Optional
|
||||
|
||||
|
||||
import collections.abc
|
||||
|
||||
|
||||
def deep_update(d, u):
|
||||
for k, v in u.items():
|
||||
if isinstance(v, collections.abc.Mapping):
|
||||
d[k] = deep_update(d.get(k, {}), v)
|
||||
else:
|
||||
d[k] = v
|
||||
return d
|
||||
|
||||
|
||||
def get_message_list(messages, message_id):
|
||||
"""
|
||||
Reconstructs a list of messages in order up to the specified message_id.
|
||||
@@ -20,7 +32,7 @@ def get_message_list(messages, message_id):
|
||||
current_message = messages.get(message_id)
|
||||
|
||||
if not current_message:
|
||||
return f"Message ID {message_id} not found in the history."
|
||||
return None
|
||||
|
||||
# Reconstruct the chain by following the parentId links
|
||||
message_list = []
|
||||
@@ -131,6 +143,44 @@ def add_or_update_system_message(content: str, messages: list[dict]):
|
||||
return messages
|
||||
|
||||
|
||||
def add_or_update_user_message(content: str, messages: list[dict]):
|
||||
"""
|
||||
Adds a new user message at the end of the messages list
|
||||
or updates the existing user message at the end.
|
||||
|
||||
:param msg: The message to be added or appended.
|
||||
:param messages: The list of message dictionaries.
|
||||
:return: The updated list of message dictionaries.
|
||||
"""
|
||||
|
||||
if messages and messages[-1].get("role") == "user":
|
||||
messages[-1]["content"] = f"{messages[-1]['content']}\n{content}"
|
||||
else:
|
||||
# Insert at the end
|
||||
messages.append({"role": "user", "content": content})
|
||||
|
||||
return messages
|
||||
|
||||
|
||||
def append_or_update_assistant_message(content: str, messages: list[dict]):
|
||||
"""
|
||||
Adds a new assistant message at the end of the messages list
|
||||
or updates the existing assistant message at the end.
|
||||
|
||||
:param msg: The message to be added or appended.
|
||||
:param messages: The list of message dictionaries.
|
||||
:return: The updated list of message dictionaries.
|
||||
"""
|
||||
|
||||
if messages and messages[-1].get("role") == "assistant":
|
||||
messages[-1]["content"] = f"{messages[-1]['content']}\n{content}"
|
||||
else:
|
||||
# Insert at the end
|
||||
messages.append({"role": "assistant", "content": content})
|
||||
|
||||
return messages
|
||||
|
||||
|
||||
def openai_chat_message_template(model: str):
|
||||
return {
|
||||
"id": f"{model}-{str(uuid.uuid4())}",
|
||||
@@ -141,13 +191,24 @@ def openai_chat_message_template(model: str):
|
||||
|
||||
|
||||
def openai_chat_chunk_message_template(
|
||||
model: str, message: Optional[str] = None, usage: Optional[dict] = None
|
||||
model: str,
|
||||
content: Optional[str] = None,
|
||||
tool_calls: Optional[list[dict]] = None,
|
||||
usage: Optional[dict] = None,
|
||||
) -> dict:
|
||||
template = openai_chat_message_template(model)
|
||||
template["object"] = "chat.completion.chunk"
|
||||
if message:
|
||||
template["choices"][0]["delta"] = {"content": message}
|
||||
else:
|
||||
|
||||
template["choices"][0]["index"] = 0
|
||||
template["choices"][0]["delta"] = {}
|
||||
|
||||
if content:
|
||||
template["choices"][0]["delta"]["content"] = content
|
||||
|
||||
if tool_calls:
|
||||
template["choices"][0]["delta"]["tool_calls"] = tool_calls
|
||||
|
||||
if not content and not tool_calls:
|
||||
template["choices"][0]["finish_reason"] = "stop"
|
||||
|
||||
if usage:
|
||||
@@ -156,12 +217,19 @@ def openai_chat_chunk_message_template(
|
||||
|
||||
|
||||
def openai_chat_completion_message_template(
|
||||
model: str, message: Optional[str] = None, usage: Optional[dict] = None
|
||||
model: str,
|
||||
message: Optional[str] = None,
|
||||
tool_calls: Optional[list[dict]] = None,
|
||||
usage: Optional[dict] = None,
|
||||
) -> dict:
|
||||
template = openai_chat_message_template(model)
|
||||
template["object"] = "chat.completion"
|
||||
if message is not None:
|
||||
template["choices"][0]["message"] = {"content": message, "role": "assistant"}
|
||||
|
||||
if tool_calls:
|
||||
template["choices"][0]["tool_calls"] = tool_calls
|
||||
|
||||
template["choices"][0]["finish_reason"] = "stop"
|
||||
|
||||
if usage:
|
||||
@@ -183,11 +251,12 @@ def get_gravatar_url(email):
|
||||
return f"https://www.gravatar.com/avatar/{hash_hex}?d=mp"
|
||||
|
||||
|
||||
def calculate_sha256(file):
|
||||
def calculate_sha256(file_path, chunk_size):
|
||||
# Compute SHA-256 hash of a file efficiently in chunks
|
||||
sha256 = hashlib.sha256()
|
||||
# Read the file in chunks to efficiently handle large files
|
||||
for chunk in iter(lambda: file.read(8192), b""):
|
||||
sha256.update(chunk)
|
||||
with open(file_path, "rb") as f:
|
||||
while chunk := f.read(chunk_size):
|
||||
sha256.update(chunk)
|
||||
return sha256.hexdigest()
|
||||
|
||||
|
||||
|
||||
@@ -1,6 +1,7 @@
|
||||
import base64
|
||||
import logging
|
||||
import mimetypes
|
||||
import sys
|
||||
import uuid
|
||||
|
||||
import aiohttp
|
||||
@@ -34,13 +35,17 @@ from open_webui.config import (
|
||||
JWT_EXPIRES_IN,
|
||||
AppConfig,
|
||||
)
|
||||
from open_webui.constants import ERROR_MESSAGES
|
||||
from open_webui.env import WEBUI_SESSION_COOKIE_SAME_SITE, WEBUI_SESSION_COOKIE_SECURE
|
||||
from open_webui.constants import ERROR_MESSAGES, WEBHOOK_MESSAGES
|
||||
from open_webui.env import WEBUI_AUTH_COOKIE_SAME_SITE, WEBUI_AUTH_COOKIE_SECURE
|
||||
from open_webui.utils.misc import parse_duration
|
||||
from open_webui.utils.auth import get_password_hash, create_token
|
||||
from open_webui.utils.webhook import post_webhook
|
||||
|
||||
from open_webui.env import SRC_LOG_LEVELS, GLOBAL_LOG_LEVEL
|
||||
|
||||
logging.basicConfig(stream=sys.stdout, level=GLOBAL_LOG_LEVEL)
|
||||
log = logging.getLogger(__name__)
|
||||
log.setLevel(SRC_LOG_LEVELS["OAUTH"])
|
||||
|
||||
auth_manager_config = AppConfig()
|
||||
auth_manager_config.DEFAULT_USER_ROLE = DEFAULT_USER_ROLE
|
||||
@@ -63,17 +68,8 @@ auth_manager_config.JWT_EXPIRES_IN = JWT_EXPIRES_IN
|
||||
class OAuthManager:
|
||||
def __init__(self):
|
||||
self.oauth = OAuth()
|
||||
for provider_name, provider_config in OAUTH_PROVIDERS.items():
|
||||
self.oauth.register(
|
||||
name=provider_name,
|
||||
client_id=provider_config["client_id"],
|
||||
client_secret=provider_config["client_secret"],
|
||||
server_metadata_url=provider_config["server_metadata_url"],
|
||||
client_kwargs={
|
||||
"scope": provider_config["scope"],
|
||||
},
|
||||
redirect_uri=provider_config["redirect_uri"],
|
||||
)
|
||||
for _, provider_config in OAUTH_PROVIDERS.items():
|
||||
provider_config["register"](self.oauth)
|
||||
|
||||
def get_client(self, provider_name):
|
||||
return self.oauth.create_client(provider_name)
|
||||
@@ -81,17 +77,21 @@ class OAuthManager:
|
||||
def get_user_role(self, user, user_data):
|
||||
if user and Users.get_num_users() == 1:
|
||||
# If the user is the only user, assign the role "admin" - actually repairs role for single user on login
|
||||
log.debug("Assigning the only user the admin role")
|
||||
return "admin"
|
||||
if not user and Users.get_num_users() == 0:
|
||||
# If there are no users, assign the role "admin", as the first user will be an admin
|
||||
log.debug("Assigning the first user the admin role")
|
||||
return "admin"
|
||||
|
||||
if auth_manager_config.ENABLE_OAUTH_ROLE_MANAGEMENT:
|
||||
log.debug("Running OAUTH Role management")
|
||||
oauth_claim = auth_manager_config.OAUTH_ROLES_CLAIM
|
||||
oauth_allowed_roles = auth_manager_config.OAUTH_ALLOWED_ROLES
|
||||
oauth_admin_roles = auth_manager_config.OAUTH_ADMIN_ROLES
|
||||
oauth_roles = None
|
||||
role = "pending" # Default/fallback role if no matching roles are found
|
||||
# Default/fallback role if no matching roles are found
|
||||
role = auth_manager_config.DEFAULT_USER_ROLE
|
||||
|
||||
# Next block extracts the roles from the user data, accepting nested claims of any depth
|
||||
if oauth_claim and oauth_allowed_roles and oauth_admin_roles:
|
||||
@@ -101,17 +101,24 @@ class OAuthManager:
|
||||
claim_data = claim_data.get(nested_claim, {})
|
||||
oauth_roles = claim_data if isinstance(claim_data, list) else None
|
||||
|
||||
log.debug(f"Oauth Roles claim: {oauth_claim}")
|
||||
log.debug(f"User roles from oauth: {oauth_roles}")
|
||||
log.debug(f"Accepted user roles: {oauth_allowed_roles}")
|
||||
log.debug(f"Accepted admin roles: {oauth_admin_roles}")
|
||||
|
||||
# If any roles are found, check if they match the allowed or admin roles
|
||||
if oauth_roles:
|
||||
# If role management is enabled, and matching roles are provided, use the roles
|
||||
for allowed_role in oauth_allowed_roles:
|
||||
# If the user has any of the allowed roles, assign the role "user"
|
||||
if allowed_role in oauth_roles:
|
||||
log.debug("Assigned user the user role")
|
||||
role = "user"
|
||||
break
|
||||
for admin_role in oauth_admin_roles:
|
||||
# If the user has any of the admin roles, assign the role "admin"
|
||||
if admin_role in oauth_roles:
|
||||
log.debug("Assigned user the admin role")
|
||||
role = "admin"
|
||||
break
|
||||
else:
|
||||
@@ -125,16 +132,27 @@ class OAuthManager:
|
||||
return role
|
||||
|
||||
def update_user_groups(self, user, user_data, default_permissions):
|
||||
log.debug("Running OAUTH Group management")
|
||||
oauth_claim = auth_manager_config.OAUTH_GROUPS_CLAIM
|
||||
|
||||
user_oauth_groups: list[str] = user_data.get(oauth_claim, list())
|
||||
user_current_groups: list[GroupModel] = Groups.get_groups_by_member_id(user.id)
|
||||
all_available_groups: list[GroupModel] = Groups.get_groups()
|
||||
|
||||
log.debug(f"Oauth Groups claim: {oauth_claim}")
|
||||
log.debug(f"User oauth groups: {user_oauth_groups}")
|
||||
log.debug(f"User's current groups: {[g.name for g in user_current_groups]}")
|
||||
log.debug(
|
||||
f"All groups available in OpenWebUI: {[g.name for g in all_available_groups]}"
|
||||
)
|
||||
|
||||
# Remove groups that user is no longer a part of
|
||||
for group_model in user_current_groups:
|
||||
if group_model.name not in user_oauth_groups:
|
||||
# Remove group from user
|
||||
log.debug(
|
||||
f"Removing user from group {group_model.name} as it is no longer in their oauth groups"
|
||||
)
|
||||
|
||||
user_ids = group_model.user_ids
|
||||
user_ids = [i for i in user_ids if i != user.id]
|
||||
@@ -160,6 +178,9 @@ class OAuthManager:
|
||||
gm.name == group_model.name for gm in user_current_groups
|
||||
):
|
||||
# Add user to group
|
||||
log.debug(
|
||||
f"Adding user to group {group_model.name} as it was found in their oauth groups"
|
||||
)
|
||||
|
||||
user_ids = group_model.user_ids
|
||||
user_ids.append(user.id)
|
||||
@@ -200,14 +221,14 @@ class OAuthManager:
|
||||
except Exception as e:
|
||||
log.warning(f"OAuth callback error: {e}")
|
||||
raise HTTPException(400, detail=ERROR_MESSAGES.INVALID_CRED)
|
||||
user_data: UserInfo = token["userinfo"]
|
||||
if not user_data:
|
||||
user_data: UserInfo = token.get("userinfo")
|
||||
if not user_data or "email" not in user_data:
|
||||
user_data: UserInfo = await client.userinfo(token=token)
|
||||
if not user_data:
|
||||
log.warning(f"OAuth callback failed, user data is missing: {token}")
|
||||
raise HTTPException(400, detail=ERROR_MESSAGES.INVALID_CRED)
|
||||
|
||||
sub = user_data.get("sub")
|
||||
sub = user_data.get(OAUTH_PROVIDERS[provider].get("sub_claim", "sub"))
|
||||
if not sub:
|
||||
log.warning(f"OAuth callback failed, sub is missing: {user_data}")
|
||||
raise HTTPException(400, detail=ERROR_MESSAGES.INVALID_CRED)
|
||||
@@ -255,30 +276,49 @@ class OAuthManager:
|
||||
raise HTTPException(400, detail=ERROR_MESSAGES.EMAIL_TAKEN)
|
||||
|
||||
picture_claim = auth_manager_config.OAUTH_PICTURE_CLAIM
|
||||
picture_url = user_data.get(picture_claim, "")
|
||||
picture_url = user_data.get(
|
||||
picture_claim, OAUTH_PROVIDERS[provider].get("picture_url", "")
|
||||
)
|
||||
if picture_url:
|
||||
# Download the profile image into a base64 string
|
||||
try:
|
||||
access_token = token.get("access_token")
|
||||
get_kwargs = {}
|
||||
if access_token:
|
||||
get_kwargs["headers"] = {
|
||||
"Authorization": f"Bearer {access_token}",
|
||||
}
|
||||
async with aiohttp.ClientSession() as session:
|
||||
async with session.get(picture_url) as resp:
|
||||
picture = await resp.read()
|
||||
base64_encoded_picture = base64.b64encode(
|
||||
picture
|
||||
).decode("utf-8")
|
||||
guessed_mime_type = mimetypes.guess_type(picture_url)[0]
|
||||
if guessed_mime_type is None:
|
||||
# assume JPG, browsers are tolerant enough of image formats
|
||||
guessed_mime_type = "image/jpeg"
|
||||
picture_url = f"data:{guessed_mime_type};base64,{base64_encoded_picture}"
|
||||
async with session.get(picture_url, **get_kwargs) as resp:
|
||||
if resp.ok:
|
||||
picture = await resp.read()
|
||||
base64_encoded_picture = base64.b64encode(
|
||||
picture
|
||||
).decode("utf-8")
|
||||
guessed_mime_type = mimetypes.guess_type(
|
||||
picture_url
|
||||
)[0]
|
||||
if guessed_mime_type is None:
|
||||
# assume JPG, browsers are tolerant enough of image formats
|
||||
guessed_mime_type = "image/jpeg"
|
||||
picture_url = f"data:{guessed_mime_type};base64,{base64_encoded_picture}"
|
||||
else:
|
||||
picture_url = "/user.png"
|
||||
except Exception as e:
|
||||
log.error(
|
||||
f"Error downloading profile image '{picture_url}': {e}"
|
||||
)
|
||||
picture_url = ""
|
||||
picture_url = "/user.png"
|
||||
if not picture_url:
|
||||
picture_url = "/user.png"
|
||||
|
||||
username_claim = auth_manager_config.OAUTH_USERNAME_CLAIM
|
||||
|
||||
name = user_data.get(username_claim)
|
||||
if not name:
|
||||
log.warning("Username claim is missing, using email as name")
|
||||
name = email
|
||||
|
||||
role = self.get_user_role(None, user_data)
|
||||
|
||||
user = Auths.insert_new_auth(
|
||||
@@ -286,7 +326,7 @@ class OAuthManager:
|
||||
password=get_password_hash(
|
||||
str(uuid.uuid4())
|
||||
), # Random password, not used
|
||||
name=user_data.get(username_claim, "User"),
|
||||
name=name,
|
||||
profile_image_url=picture_url,
|
||||
role=role,
|
||||
oauth_sub=provider_sub,
|
||||
@@ -295,12 +335,10 @@ class OAuthManager:
|
||||
if auth_manager_config.WEBHOOK_URL:
|
||||
post_webhook(
|
||||
auth_manager_config.WEBHOOK_URL,
|
||||
auth_manager_config.WEBHOOK_MESSAGES.USER_SIGNUP(user.name),
|
||||
WEBHOOK_MESSAGES.USER_SIGNUP(user.name),
|
||||
{
|
||||
"action": "signup",
|
||||
"message": auth_manager_config.WEBHOOK_MESSAGES.USER_SIGNUP(
|
||||
user.name
|
||||
),
|
||||
"message": WEBHOOK_MESSAGES.USER_SIGNUP(user.name),
|
||||
"user": user.model_dump_json(exclude_none=True),
|
||||
},
|
||||
)
|
||||
@@ -314,7 +352,7 @@ class OAuthManager:
|
||||
expires_delta=parse_duration(auth_manager_config.JWT_EXPIRES_IN),
|
||||
)
|
||||
|
||||
if auth_manager_config.ENABLE_OAUTH_GROUP_MANAGEMENT:
|
||||
if auth_manager_config.ENABLE_OAUTH_GROUP_MANAGEMENT and user.role != "admin":
|
||||
self.update_user_groups(
|
||||
user=user,
|
||||
user_data=user_data,
|
||||
@@ -326,8 +364,8 @@ class OAuthManager:
|
||||
key="token",
|
||||
value=jwt_token,
|
||||
httponly=True, # Ensures the cookie is not accessible via JavaScript
|
||||
samesite=WEBUI_SESSION_COOKIE_SAME_SITE,
|
||||
secure=WEBUI_SESSION_COOKIE_SECURE,
|
||||
samesite=WEBUI_AUTH_COOKIE_SAME_SITE,
|
||||
secure=WEBUI_AUTH_COOKIE_SECURE,
|
||||
)
|
||||
|
||||
if ENABLE_OAUTH_SIGNUP.value:
|
||||
@@ -336,8 +374,8 @@ class OAuthManager:
|
||||
key="oauth_id_token",
|
||||
value=oauth_id_token,
|
||||
httponly=True,
|
||||
samesite=WEBUI_SESSION_COOKIE_SAME_SITE,
|
||||
secure=WEBUI_SESSION_COOKIE_SECURE,
|
||||
samesite=WEBUI_AUTH_COOKIE_SAME_SITE,
|
||||
secure=WEBUI_AUTH_COOKIE_SECURE,
|
||||
)
|
||||
# Redirect back to the frontend with the JWT token
|
||||
redirect_url = f"{request.base_url}auth#token={jwt_token}"
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
from open_webui.utils.task import prompt_template
|
||||
from open_webui.utils.task import prompt_template, prompt_variables_template
|
||||
from open_webui.utils.misc import (
|
||||
add_or_update_system_message,
|
||||
)
|
||||
@@ -7,11 +7,20 @@ from typing import Callable, Optional
|
||||
|
||||
|
||||
# inplace function: form_data is modified
|
||||
def apply_model_system_prompt_to_body(params: dict, form_data: dict, user) -> dict:
|
||||
def apply_model_system_prompt_to_body(
|
||||
params: dict, form_data: dict, metadata: Optional[dict] = None, user=None
|
||||
) -> dict:
|
||||
system = params.get("system", None)
|
||||
if not system:
|
||||
return form_data
|
||||
|
||||
# Metadata (WebUI Usage)
|
||||
if metadata:
|
||||
variables = metadata.get("variables", {})
|
||||
if variables:
|
||||
system = prompt_variables_template(system, variables)
|
||||
|
||||
# Legacy (API Usage)
|
||||
if user:
|
||||
template_params = {
|
||||
"user_name": user.name,
|
||||
@@ -19,7 +28,9 @@ def apply_model_system_prompt_to_body(params: dict, form_data: dict, user) -> di
|
||||
}
|
||||
else:
|
||||
template_params = {}
|
||||
|
||||
system = prompt_template(system, **template_params)
|
||||
|
||||
form_data["messages"] = add_or_update_system_message(
|
||||
system, form_data.get("messages", [])
|
||||
)
|
||||
@@ -47,6 +58,7 @@ def apply_model_params_to_body_openai(params: dict, form_data: dict) -> dict:
|
||||
"top_p": float,
|
||||
"max_tokens": int,
|
||||
"frequency_penalty": float,
|
||||
"reasoning_effort": str,
|
||||
"seed": lambda x: x,
|
||||
"stop": lambda x: [bytes(s, "utf-8").decode("unicode_escape") for s in x],
|
||||
}
|
||||
@@ -154,6 +166,9 @@ def convert_payload_openai_to_ollama(openai_payload: dict) -> dict:
|
||||
)
|
||||
ollama_payload["stream"] = openai_payload.get("stream", False)
|
||||
|
||||
if "tools" in openai_payload:
|
||||
ollama_payload["tools"] = openai_payload["tools"]
|
||||
|
||||
if "format" in openai_payload:
|
||||
ollama_payload["format"] = openai_payload["format"]
|
||||
|
||||
@@ -187,4 +202,7 @@ def convert_payload_openai_to_ollama(openai_payload: dict) -> dict:
|
||||
if ollama_options:
|
||||
ollama_payload["options"] = ollama_options
|
||||
|
||||
if "metadata" in openai_payload:
|
||||
ollama_payload["metadata"] = openai_payload["metadata"]
|
||||
|
||||
return ollama_payload
|
||||
|
||||
@@ -2,6 +2,7 @@ from datetime import datetime
|
||||
from io import BytesIO
|
||||
from pathlib import Path
|
||||
from typing import Dict, Any, List
|
||||
from html import escape
|
||||
|
||||
from markdown import markdown
|
||||
|
||||
@@ -41,18 +42,19 @@ class PDFGenerator:
|
||||
|
||||
def _build_html_message(self, message: Dict[str, Any]) -> str:
|
||||
"""Build HTML for a single message."""
|
||||
role = message.get("role", "user")
|
||||
content = message.get("content", "")
|
||||
role = escape(message.get("role", "user"))
|
||||
content = escape(message.get("content", ""))
|
||||
timestamp = message.get("timestamp")
|
||||
|
||||
model = message.get("model") if role == "assistant" else ""
|
||||
model = escape(message.get("model") if role == "assistant" else "")
|
||||
|
||||
date_str = self.format_timestamp(timestamp) if timestamp else ""
|
||||
date_str = escape(self.format_timestamp(timestamp) if timestamp else "")
|
||||
|
||||
# extends pymdownx extension to convert markdown to html.
|
||||
# - https://facelessuser.github.io/pymdown-extensions/usage_notes/
|
||||
# html_content = markdown(content, extensions=["pymdownx.extra"])
|
||||
|
||||
content = content.replace("\n", "<br/>")
|
||||
html_message = f"""
|
||||
<div>
|
||||
<div>
|
||||
@@ -75,6 +77,7 @@ class PDFGenerator:
|
||||
|
||||
def _generate_html_body(self) -> str:
|
||||
"""Generate the full HTML body for the PDF."""
|
||||
escaped_title = escape(self.form_data.title)
|
||||
return f"""
|
||||
<html>
|
||||
<head>
|
||||
@@ -83,7 +86,7 @@ class PDFGenerator:
|
||||
<body>
|
||||
<div>
|
||||
<div>
|
||||
<h2>{self.form_data.title}</h2>
|
||||
<h2>{escaped_title}</h2>
|
||||
{self.messages_html}
|
||||
</div>
|
||||
</div>
|
||||
|
||||
@@ -167,9 +167,14 @@ def load_function_module_by_id(function_id, content=None):
|
||||
|
||||
def install_frontmatter_requirements(requirements):
|
||||
if requirements:
|
||||
req_list = [req.strip() for req in requirements.split(",")]
|
||||
for req in req_list:
|
||||
log.info(f"Installing requirement: {req}")
|
||||
subprocess.check_call([sys.executable, "-m", "pip", "install", req])
|
||||
try:
|
||||
req_list = [req.strip() for req in requirements.split(",")]
|
||||
for req in req_list:
|
||||
log.info(f"Installing requirement: {req}")
|
||||
subprocess.check_call([sys.executable, "-m", "pip", "install", req])
|
||||
except Exception as e:
|
||||
log.error(f"Error installing package: {req}")
|
||||
raise e
|
||||
|
||||
else:
|
||||
log.info("No requirements found in frontmatter.")
|
||||
|
||||
@@ -1,15 +1,82 @@
|
||||
import json
|
||||
from uuid import uuid4
|
||||
from open_webui.utils.misc import (
|
||||
openai_chat_chunk_message_template,
|
||||
openai_chat_completion_message_template,
|
||||
)
|
||||
|
||||
|
||||
def convert_ollama_tool_call_to_openai(tool_calls: dict) -> dict:
|
||||
openai_tool_calls = []
|
||||
for tool_call in tool_calls:
|
||||
openai_tool_call = {
|
||||
"index": tool_call.get("index", 0),
|
||||
"id": tool_call.get("id", f"call_{str(uuid4())}"),
|
||||
"type": "function",
|
||||
"function": {
|
||||
"name": tool_call.get("function", {}).get("name", ""),
|
||||
"arguments": json.dumps(
|
||||
tool_call.get("function", {}).get("arguments", {})
|
||||
),
|
||||
},
|
||||
}
|
||||
openai_tool_calls.append(openai_tool_call)
|
||||
return openai_tool_calls
|
||||
|
||||
|
||||
def convert_response_ollama_to_openai(ollama_response: dict) -> dict:
|
||||
model = ollama_response.get("model", "ollama")
|
||||
message_content = ollama_response.get("message", {}).get("content", "")
|
||||
tool_calls = ollama_response.get("message", {}).get("tool_calls", None)
|
||||
openai_tool_calls = None
|
||||
|
||||
response = openai_chat_completion_message_template(model, message_content)
|
||||
if tool_calls:
|
||||
openai_tool_calls = convert_ollama_tool_call_to_openai(tool_calls)
|
||||
|
||||
data = ollama_response
|
||||
usage = {
|
||||
"response_token/s": (
|
||||
round(
|
||||
(
|
||||
(
|
||||
data.get("eval_count", 0)
|
||||
/ ((data.get("eval_duration", 0) / 10_000_000))
|
||||
)
|
||||
* 100
|
||||
),
|
||||
2,
|
||||
)
|
||||
if data.get("eval_duration", 0) > 0
|
||||
else "N/A"
|
||||
),
|
||||
"prompt_token/s": (
|
||||
round(
|
||||
(
|
||||
(
|
||||
data.get("prompt_eval_count", 0)
|
||||
/ ((data.get("prompt_eval_duration", 0) / 10_000_000))
|
||||
)
|
||||
* 100
|
||||
),
|
||||
2,
|
||||
)
|
||||
if data.get("prompt_eval_duration", 0) > 0
|
||||
else "N/A"
|
||||
),
|
||||
"total_duration": data.get("total_duration", 0),
|
||||
"load_duration": data.get("load_duration", 0),
|
||||
"prompt_eval_count": data.get("prompt_eval_count", 0),
|
||||
"prompt_eval_duration": data.get("prompt_eval_duration", 0),
|
||||
"eval_count": data.get("eval_count", 0),
|
||||
"eval_duration": data.get("eval_duration", 0),
|
||||
"approximate_total": (lambda s: f"{s // 3600}h{(s % 3600) // 60}m{s % 60}s")(
|
||||
(data.get("total_duration", 0) or 0) // 1_000_000_000
|
||||
),
|
||||
}
|
||||
|
||||
response = openai_chat_completion_message_template(
|
||||
model, message_content, openai_tool_calls, usage
|
||||
)
|
||||
return response
|
||||
|
||||
|
||||
@@ -19,6 +86,12 @@ async def convert_streaming_response_ollama_to_openai(ollama_streaming_response)
|
||||
|
||||
model = data.get("model", "ollama")
|
||||
message_content = data.get("message", {}).get("content", "")
|
||||
tool_calls = data.get("message", {}).get("tool_calls", None)
|
||||
openai_tool_calls = None
|
||||
|
||||
if tool_calls:
|
||||
openai_tool_calls = convert_ollama_tool_call_to_openai(tool_calls)
|
||||
|
||||
done = data.get("done", False)
|
||||
|
||||
usage = None
|
||||
@@ -64,7 +137,7 @@ async def convert_streaming_response_ollama_to_openai(ollama_streaming_response)
|
||||
}
|
||||
|
||||
data = openai_chat_chunk_message_template(
|
||||
model, message_content if not done else None, usage
|
||||
model, message_content if not done else None, openai_tool_calls, usage
|
||||
)
|
||||
|
||||
line = f"data: {json.dumps(data)}\n\n"
|
||||
|
||||
@@ -32,6 +32,12 @@ def get_task_model_id(
|
||||
return task_model_id
|
||||
|
||||
|
||||
def prompt_variables_template(template: str, variables: dict[str, str]) -> str:
|
||||
for variable, value in variables.items():
|
||||
template = template.replace(variable, value)
|
||||
return template
|
||||
|
||||
|
||||
def prompt_template(
|
||||
template: str, user_name: Optional[str] = None, user_location: Optional[str] = None
|
||||
) -> str:
|
||||
@@ -217,6 +223,24 @@ def tags_generation_template(
|
||||
return template
|
||||
|
||||
|
||||
def image_prompt_generation_template(
|
||||
template: str, messages: list[dict], user: Optional[dict] = None
|
||||
) -> str:
|
||||
prompt = get_last_user_message(messages)
|
||||
template = replace_prompt_variable(template, prompt)
|
||||
template = replace_messages_variable(template, messages)
|
||||
|
||||
template = prompt_template(
|
||||
template,
|
||||
**(
|
||||
{"user_name": user.get("name"), "user_location": user.get("location")}
|
||||
if user
|
||||
else {}
|
||||
),
|
||||
)
|
||||
return template
|
||||
|
||||
|
||||
def emoji_generation_template(
|
||||
template: str, prompt: str, user: Optional[dict] = None
|
||||
) -> str:
|
||||
|
||||
@@ -61,6 +61,12 @@ def get_tools(
|
||||
)
|
||||
|
||||
for spec in tools.specs:
|
||||
# TODO: Fix hack for OpenAI API
|
||||
# Some times breaks OpenAI but others don't. Leaving the comment
|
||||
for val in spec.get("parameters", {}).get("properties", {}).values():
|
||||
if val["type"] == "str":
|
||||
val["type"] = "string"
|
||||
|
||||
# Remove internal parameters
|
||||
spec["parameters"]["properties"] = {
|
||||
key: val
|
||||
@@ -73,6 +79,13 @@ def get_tools(
|
||||
# convert to function that takes only model params and inserts custom params
|
||||
original_func = getattr(module, function_name)
|
||||
callable = apply_extra_params_to_tool_function(original_func, extra_params)
|
||||
|
||||
if callable.__doc__ and callable.__doc__.strip() != "":
|
||||
s = re.split(":(param|return)", callable.__doc__, 1)
|
||||
spec["description"] = s[0]
|
||||
else:
|
||||
spec["description"] = function_name
|
||||
|
||||
# TODO: This needs to be a pydantic model
|
||||
tool_dict = {
|
||||
"toolkit_id": tool_id,
|
||||
|
||||
+16
-12
@@ -1,4 +1,4 @@
|
||||
fastapi==0.111.0
|
||||
fastapi==0.115.7
|
||||
uvicorn[standard]==0.30.6
|
||||
pydantic==2.9.2
|
||||
python-multipart==0.0.18
|
||||
@@ -11,7 +11,7 @@ python-jose==3.3.0
|
||||
passlib[bcrypt]==1.7.4
|
||||
|
||||
requests==2.32.3
|
||||
aiohttp==3.11.8
|
||||
aiohttp==3.11.11
|
||||
async-timeout
|
||||
aiocache
|
||||
aiofiles
|
||||
@@ -32,6 +32,8 @@ boto3==1.35.53
|
||||
argon2-cffi==23.1.0
|
||||
APScheduler==3.10.4
|
||||
|
||||
RestrictedPython==8.0
|
||||
|
||||
# AI libraries
|
||||
openai
|
||||
anthropic
|
||||
@@ -40,14 +42,15 @@ tiktoken
|
||||
|
||||
langchain==0.3.7
|
||||
langchain-community==0.3.7
|
||||
langchain-chroma==0.1.4
|
||||
|
||||
fake-useragent==1.5.1
|
||||
chromadb==0.5.15
|
||||
chromadb==0.6.2
|
||||
pymilvus==2.5.0
|
||||
qdrant-client~=1.12.0
|
||||
opensearch-py==2.7.1
|
||||
opensearch-py==2.8.0
|
||||
|
||||
|
||||
transformers
|
||||
sentence-transformers==3.3.1
|
||||
colbert-ai==0.2.21
|
||||
einops==0.8.0
|
||||
@@ -56,10 +59,10 @@ einops==0.8.0
|
||||
ftfy==6.2.3
|
||||
pypdf==4.3.1
|
||||
fpdf2==2.8.2
|
||||
pymdown-extensions==10.11.2
|
||||
pymdown-extensions==10.14.2
|
||||
docx2txt==0.8
|
||||
python-pptx==1.0.0
|
||||
unstructured==0.15.9
|
||||
unstructured==0.16.11
|
||||
nltk==3.9.1
|
||||
Markdown==3.7
|
||||
pypandoc==1.13
|
||||
@@ -70,16 +73,16 @@ xlrd==2.0.1
|
||||
validators==0.34.0
|
||||
psutil
|
||||
sentencepiece
|
||||
soundfile==0.12.1
|
||||
soundfile==0.13.1
|
||||
|
||||
opencv-python-headless==4.10.0.84
|
||||
opencv-python-headless==4.11.0.86
|
||||
rapidocr-onnxruntime==1.3.24
|
||||
rank-bm25==0.2.2
|
||||
|
||||
faster-whisper==1.0.3
|
||||
faster-whisper==1.1.1
|
||||
|
||||
PyJWT[crypto]==2.10.1
|
||||
authlib==1.3.2
|
||||
authlib==1.4.1
|
||||
|
||||
black==24.8.0
|
||||
langfuse==2.44.0
|
||||
@@ -88,7 +91,7 @@ pytube==15.0.0
|
||||
|
||||
extract_msg
|
||||
pydub
|
||||
duckduckgo-search~=6.3.5
|
||||
duckduckgo-search~=7.3.2
|
||||
|
||||
## Google Drive
|
||||
google-api-python-client
|
||||
@@ -101,6 +104,7 @@ pytest~=8.3.2
|
||||
pytest-docker~=3.1.1
|
||||
|
||||
googleapis-common-protos==1.63.2
|
||||
google-cloud-storage==2.19.0
|
||||
|
||||
## LDAP
|
||||
ldap3==2.9.1
|
||||
|
||||
@@ -16,6 +16,9 @@ For the UI configuration, you can set up the Apache VirtualHost as follows:
|
||||
|
||||
ProxyPass / http://server.com:3000/ nocanon
|
||||
ProxyPassReverse / http://server.com:3000/
|
||||
# Needed after 0.5
|
||||
ProxyPass / ws://server.com:3000/ nocanon
|
||||
ProxyPassReverse / ws://server.com:3000/
|
||||
|
||||
</VirtualHost>
|
||||
```
|
||||
@@ -32,6 +35,9 @@ Enable the site first before you can request SSL:
|
||||
|
||||
ProxyPass / http://server.com:3000/ nocanon
|
||||
ProxyPassReverse / http://server.com:3000/
|
||||
# Needed after 0.5
|
||||
ProxyPass / ws://server.com:3000/ nocanon
|
||||
ProxyPassReverse / ws://server.com:3000/
|
||||
|
||||
SSLEngine on
|
||||
SSLCertificateFile /etc/ssl/virtualmin/170514456861234/ssl.cert
|
||||
|
||||
Generated
+214
-134
@@ -1,12 +1,12 @@
|
||||
{
|
||||
"name": "open-webui",
|
||||
"version": "0.5.4",
|
||||
"version": "0.5.11",
|
||||
"lockfileVersion": 3,
|
||||
"requires": true,
|
||||
"packages": {
|
||||
"": {
|
||||
"name": "open-webui",
|
||||
"version": "0.5.4",
|
||||
"version": "0.5.11",
|
||||
"dependencies": {
|
||||
"@codemirror/lang-javascript": "^6.2.2",
|
||||
"@codemirror/lang-python": "^6.1.6",
|
||||
@@ -41,7 +41,8 @@
|
||||
"i18next-resources-to-backend": "^1.2.0",
|
||||
"idb": "^7.1.1",
|
||||
"js-sha256": "^0.10.1",
|
||||
"katex": "^0.16.9",
|
||||
"katex": "^0.16.21",
|
||||
"kokoro-js": "^1.1.1",
|
||||
"marked": "^9.1.0",
|
||||
"mermaid": "^10.9.3",
|
||||
"paneforge": "^0.0.6",
|
||||
@@ -56,19 +57,21 @@
|
||||
"prosemirror-schema-list": "^1.4.1",
|
||||
"prosemirror-state": "^1.4.3",
|
||||
"prosemirror-view": "^1.34.3",
|
||||
"pyodide": "^0.26.1",
|
||||
"pyodide": "^0.27.2",
|
||||
"socket.io-client": "^4.2.0",
|
||||
"sortablejs": "^1.15.2",
|
||||
"svelte-sonner": "^0.3.19",
|
||||
"tippy.js": "^6.3.7",
|
||||
"turndown": "^7.2.0",
|
||||
"uuid": "^9.0.1"
|
||||
"uuid": "^9.0.1",
|
||||
"vite-plugin-static-copy": "^2.2.0"
|
||||
},
|
||||
"devDependencies": {
|
||||
"@sveltejs/adapter-auto": "3.2.2",
|
||||
"@sveltejs/adapter-static": "^3.0.2",
|
||||
"@sveltejs/kit": "^2.5.20",
|
||||
"@sveltejs/vite-plugin-svelte": "^3.1.1",
|
||||
"@tailwindcss/container-queries": "^0.1.1",
|
||||
"@tailwindcss/typography": "^0.5.13",
|
||||
"@typescript-eslint/eslint-plugin": "^6.17.0",
|
||||
"@typescript-eslint/parser": "^6.17.0",
|
||||
@@ -89,8 +92,8 @@
|
||||
"tailwindcss": "^3.3.3",
|
||||
"tslib": "^2.4.1",
|
||||
"typescript": "^5.5.4",
|
||||
"vite": "^5.3.5",
|
||||
"vitest": "^1.6.0"
|
||||
"vite": "^5.4.14",
|
||||
"vitest": "^1.6.1"
|
||||
},
|
||||
"engines": {
|
||||
"node": ">=18.13.0 <=22.x.x",
|
||||
@@ -1077,21 +1080,23 @@
|
||||
}
|
||||
},
|
||||
"node_modules/@huggingface/jinja": {
|
||||
"version": "0.3.1",
|
||||
"resolved": "https://registry.npmjs.org/@huggingface/jinja/-/jinja-0.3.1.tgz",
|
||||
"integrity": "sha512-SbcBWUKDQ76lzlVYOloscUk0SJjuL1LcbZsfQv/Bxxc7dwJMYuS+DAQ+HhVw6ZkTFXArejaX5HQRuCuleYwYdA==",
|
||||
"version": "0.3.3",
|
||||
"resolved": "https://registry.npmjs.org/@huggingface/jinja/-/jinja-0.3.3.tgz",
|
||||
"integrity": "sha512-vQQr2JyWvVFba3Lj9es4q9vCl1sAc74fdgnEMoX8qHrXtswap9ge9uO3ONDzQB0cQ0PUyaKY2N6HaVbTBvSXvw==",
|
||||
"license": "MIT",
|
||||
"engines": {
|
||||
"node": ">=18"
|
||||
}
|
||||
},
|
||||
"node_modules/@huggingface/transformers": {
|
||||
"version": "3.0.0",
|
||||
"resolved": "https://registry.npmjs.org/@huggingface/transformers/-/transformers-3.0.0.tgz",
|
||||
"integrity": "sha512-OWIPnTijAw4DQ+IFHBOrej2SDdYyykYlTtpTLCEt5MZq/e9Cb65RS2YVhdGcgbaW/6JAL3i8ZA5UhDeWGm4iRQ==",
|
||||
"version": "3.3.3",
|
||||
"resolved": "https://registry.npmjs.org/@huggingface/transformers/-/transformers-3.3.3.tgz",
|
||||
"integrity": "sha512-OcMubhBjW6u1xnp0zSt5SvCxdGHuhP2k+w2Vlm3i0vNcTJhJTZWxxYQmPBfcb7PX+Q6c43lGSzWD6tsJFwka4Q==",
|
||||
"license": "Apache-2.0",
|
||||
"dependencies": {
|
||||
"@huggingface/jinja": "^0.3.0",
|
||||
"onnxruntime-node": "1.19.2",
|
||||
"onnxruntime-web": "1.20.0-dev.20241016-2b8fc5529b",
|
||||
"@huggingface/jinja": "^0.3.3",
|
||||
"onnxruntime-node": "1.20.1",
|
||||
"onnxruntime-web": "1.21.0-dev.20250206-d981b153d3",
|
||||
"sharp": "^0.33.5"
|
||||
}
|
||||
},
|
||||
@@ -1545,6 +1550,7 @@
|
||||
"version": "4.0.1",
|
||||
"resolved": "https://registry.npmjs.org/@isaacs/fs-minipass/-/fs-minipass-4.0.1.tgz",
|
||||
"integrity": "sha512-wgm9Ehl2jpeqP3zw/7mo3kRHFp5MEDhqAdwy1fTGkHAwnkGOVsgpvQhL8B5n1qlb01jV3n/bI0ZfZp5lWA1k4w==",
|
||||
"license": "ISC",
|
||||
"dependencies": {
|
||||
"minipass": "^7.0.4"
|
||||
},
|
||||
@@ -1557,6 +1563,7 @@
|
||||
"resolved": "https://registry.npmjs.org/@jest/schemas/-/schemas-29.6.3.tgz",
|
||||
"integrity": "sha512-mo5j5X+jIZmJQveBKeS/clAueipV7KgiX1vMgCxam1RNYiqE1w62n0/tJJnHtjW8ZHcQco5gY85jA3mi0L+nSA==",
|
||||
"dev": true,
|
||||
"license": "MIT",
|
||||
"dependencies": {
|
||||
"@sinclair/typebox": "^0.27.8"
|
||||
},
|
||||
@@ -1797,7 +1804,6 @@
|
||||
"version": "2.1.5",
|
||||
"resolved": "https://registry.npmjs.org/@nodelib/fs.scandir/-/fs.scandir-2.1.5.tgz",
|
||||
"integrity": "sha512-vq24Bq3ym5HEQm2NKCr3yXDwjc7vTsEThRDnkp2DK9p1uqLR+DHurm/NOTo0KG7HYHU7eppKZj3MyqYuMBf62g==",
|
||||
"dev": true,
|
||||
"dependencies": {
|
||||
"@nodelib/fs.stat": "2.0.5",
|
||||
"run-parallel": "^1.1.9"
|
||||
@@ -1810,7 +1816,6 @@
|
||||
"version": "2.0.5",
|
||||
"resolved": "https://registry.npmjs.org/@nodelib/fs.stat/-/fs.stat-2.0.5.tgz",
|
||||
"integrity": "sha512-RkhPPp2zrqDAQA/2jNhnztcPAlv64XdhIp7a7454A5ovI7Bukxgt7MX7udwAu3zg1DcpPU0rz3VV1SeaqvY4+A==",
|
||||
"dev": true,
|
||||
"engines": {
|
||||
"node": ">= 8"
|
||||
}
|
||||
@@ -1819,7 +1824,6 @@
|
||||
"version": "1.2.8",
|
||||
"resolved": "https://registry.npmjs.org/@nodelib/fs.walk/-/fs.walk-1.2.8.tgz",
|
||||
"integrity": "sha512-oGB+UxlgWcgQkgwo8GcEGwemoTFt3FIO9ababBmaGwXIoBKZ+GTy0pP185beGg7Llih/NSHSV2XAs1lnznocSg==",
|
||||
"dev": true,
|
||||
"dependencies": {
|
||||
"@nodelib/fs.scandir": "2.1.5",
|
||||
"fastq": "^1.6.0"
|
||||
@@ -1855,27 +1859,32 @@
|
||||
"node_modules/@protobufjs/aspromise": {
|
||||
"version": "1.1.2",
|
||||
"resolved": "https://registry.npmjs.org/@protobufjs/aspromise/-/aspromise-1.1.2.tgz",
|
||||
"integrity": "sha512-j+gKExEuLmKwvz3OgROXtrJ2UG2x8Ch2YZUxahh+s1F2HZ+wAceUNLkvy6zKCPVRkU++ZWQrdxsUeQXmcg4uoQ=="
|
||||
"integrity": "sha512-j+gKExEuLmKwvz3OgROXtrJ2UG2x8Ch2YZUxahh+s1F2HZ+wAceUNLkvy6zKCPVRkU++ZWQrdxsUeQXmcg4uoQ==",
|
||||
"license": "BSD-3-Clause"
|
||||
},
|
||||
"node_modules/@protobufjs/base64": {
|
||||
"version": "1.1.2",
|
||||
"resolved": "https://registry.npmjs.org/@protobufjs/base64/-/base64-1.1.2.tgz",
|
||||
"integrity": "sha512-AZkcAA5vnN/v4PDqKyMR5lx7hZttPDgClv83E//FMNhR2TMcLUhfRUBHCmSl0oi9zMgDDqRUJkSxO3wm85+XLg=="
|
||||
"integrity": "sha512-AZkcAA5vnN/v4PDqKyMR5lx7hZttPDgClv83E//FMNhR2TMcLUhfRUBHCmSl0oi9zMgDDqRUJkSxO3wm85+XLg==",
|
||||
"license": "BSD-3-Clause"
|
||||
},
|
||||
"node_modules/@protobufjs/codegen": {
|
||||
"version": "2.0.4",
|
||||
"resolved": "https://registry.npmjs.org/@protobufjs/codegen/-/codegen-2.0.4.tgz",
|
||||
"integrity": "sha512-YyFaikqM5sH0ziFZCN3xDC7zeGaB/d0IUb9CATugHWbd1FRFwWwt4ld4OYMPWu5a3Xe01mGAULCdqhMlPl29Jg=="
|
||||
"integrity": "sha512-YyFaikqM5sH0ziFZCN3xDC7zeGaB/d0IUb9CATugHWbd1FRFwWwt4ld4OYMPWu5a3Xe01mGAULCdqhMlPl29Jg==",
|
||||
"license": "BSD-3-Clause"
|
||||
},
|
||||
"node_modules/@protobufjs/eventemitter": {
|
||||
"version": "1.1.0",
|
||||
"resolved": "https://registry.npmjs.org/@protobufjs/eventemitter/-/eventemitter-1.1.0.tgz",
|
||||
"integrity": "sha512-j9ednRT81vYJ9OfVuXG6ERSTdEL1xVsNgqpkxMsbIabzSo3goCjDIveeGv5d03om39ML71RdmrGNjG5SReBP/Q=="
|
||||
"integrity": "sha512-j9ednRT81vYJ9OfVuXG6ERSTdEL1xVsNgqpkxMsbIabzSo3goCjDIveeGv5d03om39ML71RdmrGNjG5SReBP/Q==",
|
||||
"license": "BSD-3-Clause"
|
||||
},
|
||||
"node_modules/@protobufjs/fetch": {
|
||||
"version": "1.1.0",
|
||||
"resolved": "https://registry.npmjs.org/@protobufjs/fetch/-/fetch-1.1.0.tgz",
|
||||
"integrity": "sha512-lljVXpqXebpsijW71PZaCYeIcE5on1w5DlQy5WH6GLbFryLUrBD4932W/E2BSpfRJWseIL4v/KPgBFxDOIdKpQ==",
|
||||
"license": "BSD-3-Clause",
|
||||
"dependencies": {
|
||||
"@protobufjs/aspromise": "^1.1.1",
|
||||
"@protobufjs/inquire": "^1.1.0"
|
||||
@@ -1884,27 +1893,32 @@
|
||||
"node_modules/@protobufjs/float": {
|
||||
"version": "1.0.2",
|
||||
"resolved": "https://registry.npmjs.org/@protobufjs/float/-/float-1.0.2.tgz",
|
||||
"integrity": "sha512-Ddb+kVXlXst9d+R9PfTIxh1EdNkgoRe5tOX6t01f1lYWOvJnSPDBlG241QLzcyPdoNTsblLUdujGSE4RzrTZGQ=="
|
||||
"integrity": "sha512-Ddb+kVXlXst9d+R9PfTIxh1EdNkgoRe5tOX6t01f1lYWOvJnSPDBlG241QLzcyPdoNTsblLUdujGSE4RzrTZGQ==",
|
||||
"license": "BSD-3-Clause"
|
||||
},
|
||||
"node_modules/@protobufjs/inquire": {
|
||||
"version": "1.1.0",
|
||||
"resolved": "https://registry.npmjs.org/@protobufjs/inquire/-/inquire-1.1.0.tgz",
|
||||
"integrity": "sha512-kdSefcPdruJiFMVSbn801t4vFK7KB/5gd2fYvrxhuJYg8ILrmn9SKSX2tZdV6V+ksulWqS7aXjBcRXl3wHoD9Q=="
|
||||
"integrity": "sha512-kdSefcPdruJiFMVSbn801t4vFK7KB/5gd2fYvrxhuJYg8ILrmn9SKSX2tZdV6V+ksulWqS7aXjBcRXl3wHoD9Q==",
|
||||
"license": "BSD-3-Clause"
|
||||
},
|
||||
"node_modules/@protobufjs/path": {
|
||||
"version": "1.1.2",
|
||||
"resolved": "https://registry.npmjs.org/@protobufjs/path/-/path-1.1.2.tgz",
|
||||
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@@ -3190,10 +3219,11 @@
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@@ -5124,10 +5157,11 @@
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@@ -12175,7 +12254,7 @@
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@@ -12190,8 +12269,8 @@
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@@ -12553,6 +12632,7 @@
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}
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+10
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@@ -1,9 +1,10 @@
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{
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"check": "svelte-kit sync && svelte-check --tsconfig ./tsconfig.json",
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||||
"@sveltejs/adapter-static": "^3.0.2",
|
||||
"@sveltejs/kit": "^2.5.20",
|
||||
"@sveltejs/vite-plugin-svelte": "^3.1.1",
|
||||
"@tailwindcss/container-queries": "^0.1.1",
|
||||
"@tailwindcss/typography": "^0.5.13",
|
||||
"@typescript-eslint/eslint-plugin": "^6.17.0",
|
||||
"@typescript-eslint/parser": "^6.17.0",
|
||||
@@ -44,8 +46,8 @@
|
||||
"tailwindcss": "^3.3.3",
|
||||
"tslib": "^2.4.1",
|
||||
"typescript": "^5.5.4",
|
||||
"vite": "^5.3.5",
|
||||
"vitest": "^1.6.0"
|
||||
"vite": "^5.4.14",
|
||||
"vitest": "^1.6.1"
|
||||
},
|
||||
"type": "module",
|
||||
"dependencies": {
|
||||
@@ -82,7 +84,8 @@
|
||||
"i18next-resources-to-backend": "^1.2.0",
|
||||
"idb": "^7.1.1",
|
||||
"js-sha256": "^0.10.1",
|
||||
"katex": "^0.16.9",
|
||||
"katex": "^0.16.21",
|
||||
"kokoro-js": "^1.1.1",
|
||||
"marked": "^9.1.0",
|
||||
"mermaid": "^10.9.3",
|
||||
"paneforge": "^0.0.6",
|
||||
@@ -97,13 +100,14 @@
|
||||
"prosemirror-schema-list": "^1.4.1",
|
||||
"prosemirror-state": "^1.4.3",
|
||||
"prosemirror-view": "^1.34.3",
|
||||
"pyodide": "^0.26.1",
|
||||
"pyodide": "^0.27.2",
|
||||
"socket.io-client": "^4.2.0",
|
||||
"sortablejs": "^1.15.2",
|
||||
"svelte-sonner": "^0.3.19",
|
||||
"tippy.js": "^6.3.7",
|
||||
"turndown": "^7.2.0",
|
||||
"uuid": "^9.0.1"
|
||||
"uuid": "^9.0.1",
|
||||
"vite-plugin-static-copy": "^2.2.0"
|
||||
},
|
||||
"engines": {
|
||||
"node": ">=18.13.0 <=22.x.x",
|
||||
|
||||
+23
-13
@@ -6,7 +6,7 @@ authors = [
|
||||
]
|
||||
license = { file = "LICENSE" }
|
||||
dependencies = [
|
||||
"fastapi==0.111.0",
|
||||
"fastapi==0.115.7",
|
||||
"uvicorn[standard]==0.30.6",
|
||||
"pydantic==2.9.2",
|
||||
"python-multipart==0.0.18",
|
||||
@@ -19,7 +19,7 @@ dependencies = [
|
||||
"passlib[bcrypt]==1.7.4",
|
||||
|
||||
"requests==2.32.3",
|
||||
"aiohttp==3.11.8",
|
||||
"aiohttp==3.11.11",
|
||||
"async-timeout",
|
||||
"aiocache",
|
||||
"aiofiles",
|
||||
@@ -40,6 +40,9 @@ dependencies = [
|
||||
"argon2-cffi==23.1.0",
|
||||
"APScheduler==3.10.4",
|
||||
|
||||
|
||||
"RestrictedPython==8.0",
|
||||
|
||||
"openai",
|
||||
"anthropic",
|
||||
"google-generativeai==0.7.2",
|
||||
@@ -47,14 +50,14 @@ dependencies = [
|
||||
|
||||
"langchain==0.3.7",
|
||||
"langchain-community==0.3.7",
|
||||
"langchain-chroma==0.1.4",
|
||||
|
||||
"fake-useragent==1.5.1",
|
||||
"chromadb==0.5.15",
|
||||
"chromadb==0.6.2",
|
||||
"pymilvus==2.5.0",
|
||||
"qdrant-client~=1.12.0",
|
||||
"opensearch-py==2.7.1",
|
||||
"opensearch-py==2.8.0",
|
||||
|
||||
"transformers",
|
||||
"sentence-transformers==3.3.1",
|
||||
"colbert-ai==0.2.21",
|
||||
"einops==0.8.0",
|
||||
@@ -62,10 +65,10 @@ dependencies = [
|
||||
"ftfy==6.2.3",
|
||||
"pypdf==4.3.1",
|
||||
"fpdf2==2.8.2",
|
||||
"pymdown-extensions==10.11.2",
|
||||
"pymdown-extensions==10.14.2",
|
||||
"docx2txt==0.8",
|
||||
"python-pptx==1.0.0",
|
||||
"unstructured==0.15.9",
|
||||
"unstructured==0.16.11",
|
||||
"nltk==3.9.1",
|
||||
"Markdown==3.7",
|
||||
"pypandoc==1.13",
|
||||
@@ -76,16 +79,16 @@ dependencies = [
|
||||
"validators==0.34.0",
|
||||
"psutil",
|
||||
"sentencepiece",
|
||||
"soundfile==0.12.1",
|
||||
"soundfile==0.13.1",
|
||||
|
||||
"opencv-python-headless==4.10.0.84",
|
||||
"opencv-python-headless==4.11.0.86",
|
||||
"rapidocr-onnxruntime==1.3.24",
|
||||
"rank-bm25==0.2.2",
|
||||
|
||||
"faster-whisper==1.0.3",
|
||||
"faster-whisper==1.1.1",
|
||||
|
||||
"PyJWT[crypto]==2.10.1",
|
||||
"authlib==1.3.2",
|
||||
"authlib==1.4.1",
|
||||
|
||||
"black==24.8.0",
|
||||
"langfuse==2.44.0",
|
||||
@@ -94,15 +97,22 @@ dependencies = [
|
||||
|
||||
"extract_msg",
|
||||
"pydub",
|
||||
"duckduckgo-search~=6.3.5",
|
||||
"duckduckgo-search~=7.3.2",
|
||||
|
||||
"google-api-python-client",
|
||||
"google-auth-httplib2",
|
||||
"google-auth-oauthlib",
|
||||
|
||||
"docker~=7.1.0",
|
||||
"pytest~=8.3.2",
|
||||
"pytest-docker~=3.1.1",
|
||||
"moto[s3]>=5.0.26",
|
||||
|
||||
"googleapis-common-protos==1.63.2",
|
||||
"google-cloud-storage==2.19.0",
|
||||
|
||||
"ldap3==2.9.1"
|
||||
"ldap3==2.9.1",
|
||||
"gcp-storage-emulator>=2024.8.3",
|
||||
]
|
||||
readme = "README.md"
|
||||
requires-python = ">= 3.11, < 3.13.0a1"
|
||||
|
||||
@@ -9,7 +9,10 @@ const packages = [
|
||||
'scikit-learn',
|
||||
'scipy',
|
||||
'regex',
|
||||
'seaborn'
|
||||
'sympy',
|
||||
'tiktoken',
|
||||
'seaborn',
|
||||
'pytz'
|
||||
];
|
||||
|
||||
import { loadPyodide } from 'pyodide';
|
||||
|
||||
+61
-4
@@ -53,11 +53,11 @@ math {
|
||||
}
|
||||
|
||||
.markdown-prose {
|
||||
@apply prose dark:prose-invert prose-headings:font-semibold prose-hr:my-4 prose-hr:border-gray-100 prose-hr:dark:border-gray-800 prose-p:my-0 prose-img:my-1 prose-headings:my-1 prose-pre:my-0 prose-table:my-0 prose-blockquote:my-0 prose-ul:-my-0 prose-ol:-my-0 prose-li:-my-0 whitespace-pre-line;
|
||||
@apply prose dark:prose-invert prose-blockquote:border-gray-100 prose-blockquote:dark:border-gray-800 prose-blockquote:border-l-2 prose-blockquote:not-italic prose-blockquote:font-normal prose-headings:font-semibold prose-hr:my-4 prose-hr:border-gray-100 prose-hr:dark:border-gray-800 prose-p:my-0 prose-img:my-1 prose-headings:my-1 prose-pre:my-0 prose-table:my-0 prose-blockquote:my-0 prose-ul:-my-0 prose-ol:-my-0 prose-li:-my-0 whitespace-pre-line;
|
||||
}
|
||||
|
||||
.markdown-prose-xs {
|
||||
@apply text-xs prose dark:prose-invert prose-headings:font-semibold prose-hr:my-0 prose-hr:border-gray-100 prose-hr:dark:border-gray-800 prose-p:my-0 prose-img:my-1 prose-headings:my-1 prose-pre:my-0 prose-table:my-0 prose-blockquote:my-0 prose-ul:-my-0 prose-ol:-my-0 prose-li:-my-0 whitespace-pre-line;
|
||||
@apply text-xs prose dark:prose-invert prose-blockquote:border-gray-100 prose-blockquote:dark:border-gray-800 prose-blockquote:border-l-2 prose-blockquote:not-italic prose-blockquote:font-normal prose-headings:font-semibold prose-hr:my-0 prose-hr:border-gray-100 prose-hr:dark:border-gray-800 prose-p:my-0 prose-img:my-1 prose-headings:my-1 prose-pre:my-0 prose-table:my-0 prose-blockquote:my-0 prose-ul:-my-0 prose-ol:-my-0 prose-li:-my-0 whitespace-pre-line;
|
||||
}
|
||||
|
||||
.markdown a {
|
||||
@@ -68,6 +68,19 @@ math {
|
||||
font-family: 'Archivo', sans-serif;
|
||||
}
|
||||
|
||||
.drag-region {
|
||||
-webkit-app-region: drag;
|
||||
}
|
||||
|
||||
.drag-region a,
|
||||
.drag-region button {
|
||||
-webkit-app-region: no-drag;
|
||||
}
|
||||
|
||||
.no-drag-region {
|
||||
-webkit-app-region: no-drag;
|
||||
}
|
||||
|
||||
iframe {
|
||||
@apply rounded-lg;
|
||||
}
|
||||
@@ -102,18 +115,62 @@ li p {
|
||||
|
||||
select {
|
||||
background-image: url("data:image/svg+xml;charset=utf-8,%3Csvg xmlns='http://www.w3.org/2000/svg' fill='none' viewBox='0 0 20 20'%3E%3Cpath stroke='%236B7280' stroke-linecap='round' stroke-linejoin='round' stroke-width='1.5' d='m6 8 4 4 4-4'/%3E%3C/svg%3E");
|
||||
background-position: right 0.5rem center;
|
||||
background-position: right 0rem center;
|
||||
background-repeat: no-repeat;
|
||||
background-size: 1.5em 1.5em;
|
||||
padding-right: 2.5rem;
|
||||
-webkit-print-color-adjust: exact;
|
||||
print-color-adjust: exact;
|
||||
/* padding-right: 2.5rem; */
|
||||
/* for Firefox */
|
||||
-moz-appearance: none;
|
||||
/* for Chrome */
|
||||
-webkit-appearance: none;
|
||||
}
|
||||
|
||||
@keyframes shimmer {
|
||||
0% {
|
||||
background-position: 200% 0;
|
||||
}
|
||||
100% {
|
||||
background-position: -200% 0;
|
||||
}
|
||||
}
|
||||
|
||||
.shimmer {
|
||||
background: linear-gradient(90deg, #9a9b9e 25%, #2a2929 50%, #9a9b9e 75%);
|
||||
background-size: 200% 100%;
|
||||
background-clip: text;
|
||||
-webkit-background-clip: text;
|
||||
-webkit-text-fill-color: transparent;
|
||||
animation: shimmer 4s linear infinite;
|
||||
color: #818286; /* Fallback color */
|
||||
}
|
||||
|
||||
:global(.dark) .shimmer {
|
||||
background: linear-gradient(90deg, #818286 25%, #eae5e5 50%, #818286 75%);
|
||||
background-size: 200% 100%;
|
||||
background-clip: text;
|
||||
-webkit-background-clip: text;
|
||||
-webkit-text-fill-color: transparent;
|
||||
animation: shimmer 4s linear infinite;
|
||||
color: #a1a3a7; /* Darker fallback color for dark mode */
|
||||
}
|
||||
|
||||
@keyframes smoothFadeIn {
|
||||
0% {
|
||||
opacity: 0;
|
||||
transform: translateY(-10px);
|
||||
}
|
||||
100% {
|
||||
opacity: 1;
|
||||
transform: translateY(0);
|
||||
}
|
||||
}
|
||||
|
||||
.status-description {
|
||||
animation: smoothFadeIn 0.2s forwards;
|
||||
}
|
||||
|
||||
.katex-mathml {
|
||||
display: none;
|
||||
}
|
||||
|
||||
@@ -580,7 +580,7 @@ export const toggleChatPinnedStatusById = async (token: string, id: string) => {
|
||||
return res;
|
||||
};
|
||||
|
||||
export const cloneChatById = async (token: string, id: string) => {
|
||||
export const cloneChatById = async (token: string, id: string, title?: string) => {
|
||||
let error = null;
|
||||
|
||||
const res = await fetch(`${WEBUI_API_BASE_URL}/chats/${id}/clone`, {
|
||||
@@ -589,7 +589,10 @@ export const cloneChatById = async (token: string, id: string) => {
|
||||
Accept: 'application/json',
|
||||
'Content-Type': 'application/json',
|
||||
...(token && { authorization: `Bearer ${token}` })
|
||||
}
|
||||
},
|
||||
body: JSON.stringify({
|
||||
...(title && { title: title })
|
||||
})
|
||||
})
|
||||
.then(async (res) => {
|
||||
if (!res.ok) throw await res.json();
|
||||
|
||||
@@ -58,6 +58,120 @@ export const exportConfig = async (token: string) => {
|
||||
return res;
|
||||
};
|
||||
|
||||
export const getDirectConnectionsConfig = async (token: string) => {
|
||||
let error = null;
|
||||
|
||||
const res = await fetch(`${WEBUI_API_BASE_URL}/configs/direct_connections`, {
|
||||
method: 'GET',
|
||||
headers: {
|
||||
'Content-Type': 'application/json',
|
||||
Authorization: `Bearer ${token}`
|
||||
}
|
||||
})
|
||||
.then(async (res) => {
|
||||
if (!res.ok) throw await res.json();
|
||||
return res.json();
|
||||
})
|
||||
.catch((err) => {
|
||||
console.log(err);
|
||||
error = err.detail;
|
||||
return null;
|
||||
});
|
||||
|
||||
if (error) {
|
||||
throw error;
|
||||
}
|
||||
|
||||
return res;
|
||||
};
|
||||
|
||||
export const setDirectConnectionsConfig = async (token: string, config: object) => {
|
||||
let error = null;
|
||||
|
||||
const res = await fetch(`${WEBUI_API_BASE_URL}/configs/direct_connections`, {
|
||||
method: 'POST',
|
||||
headers: {
|
||||
'Content-Type': 'application/json',
|
||||
Authorization: `Bearer ${token}`
|
||||
},
|
||||
body: JSON.stringify({
|
||||
...config
|
||||
})
|
||||
})
|
||||
.then(async (res) => {
|
||||
if (!res.ok) throw await res.json();
|
||||
return res.json();
|
||||
})
|
||||
.catch((err) => {
|
||||
console.log(err);
|
||||
error = err.detail;
|
||||
return null;
|
||||
});
|
||||
|
||||
if (error) {
|
||||
throw error;
|
||||
}
|
||||
|
||||
return res;
|
||||
};
|
||||
|
||||
export const getCodeInterpreterConfig = async (token: string) => {
|
||||
let error = null;
|
||||
|
||||
const res = await fetch(`${WEBUI_API_BASE_URL}/configs/code_interpreter`, {
|
||||
method: 'GET',
|
||||
headers: {
|
||||
'Content-Type': 'application/json',
|
||||
Authorization: `Bearer ${token}`
|
||||
}
|
||||
})
|
||||
.then(async (res) => {
|
||||
if (!res.ok) throw await res.json();
|
||||
return res.json();
|
||||
})
|
||||
.catch((err) => {
|
||||
console.log(err);
|
||||
error = err.detail;
|
||||
return null;
|
||||
});
|
||||
|
||||
if (error) {
|
||||
throw error;
|
||||
}
|
||||
|
||||
return res;
|
||||
};
|
||||
|
||||
export const setCodeInterpreterConfig = async (token: string, config: object) => {
|
||||
let error = null;
|
||||
|
||||
const res = await fetch(`${WEBUI_API_BASE_URL}/configs/code_interpreter`, {
|
||||
method: 'POST',
|
||||
headers: {
|
||||
'Content-Type': 'application/json',
|
||||
Authorization: `Bearer ${token}`
|
||||
},
|
||||
body: JSON.stringify({
|
||||
...config
|
||||
})
|
||||
})
|
||||
.then(async (res) => {
|
||||
if (!res.ok) throw await res.json();
|
||||
return res.json();
|
||||
})
|
||||
.catch((err) => {
|
||||
console.log(err);
|
||||
error = err.detail;
|
||||
return null;
|
||||
});
|
||||
|
||||
if (error) {
|
||||
throw error;
|
||||
}
|
||||
|
||||
return res;
|
||||
};
|
||||
|
||||
export const getModelsConfig = async (token: string) => {
|
||||
let error = null;
|
||||
|
||||
|
||||
+114
-3
@@ -1,6 +1,11 @@
|
||||
import { WEBUI_API_BASE_URL, WEBUI_BASE_URL } from '$lib/constants';
|
||||
import { getOpenAIModelsDirect } from './openai';
|
||||
|
||||
export const getModels = async (token: string = '', base: boolean = false) => {
|
||||
export const getModels = async (
|
||||
token: string = '',
|
||||
connections: object | null = null,
|
||||
base: boolean = false
|
||||
) => {
|
||||
let error = null;
|
||||
const res = await fetch(`${WEBUI_BASE_URL}/api/models${base ? '/base' : ''}`, {
|
||||
method: 'GET',
|
||||
@@ -25,6 +30,111 @@ export const getModels = async (token: string = '', base: boolean = false) => {
|
||||
}
|
||||
|
||||
let models = res?.data ?? [];
|
||||
|
||||
if (connections && !base) {
|
||||
let localModels = [];
|
||||
|
||||
if (connections) {
|
||||
const OPENAI_API_BASE_URLS = connections.OPENAI_API_BASE_URLS;
|
||||
const OPENAI_API_KEYS = connections.OPENAI_API_KEYS;
|
||||
const OPENAI_API_CONFIGS = connections.OPENAI_API_CONFIGS;
|
||||
|
||||
const requests = [];
|
||||
for (const idx in OPENAI_API_BASE_URLS) {
|
||||
const url = OPENAI_API_BASE_URLS[idx];
|
||||
|
||||
if (idx.toString() in OPENAI_API_CONFIGS) {
|
||||
const apiConfig = OPENAI_API_CONFIGS[idx.toString()] ?? {};
|
||||
|
||||
const enable = apiConfig?.enable ?? true;
|
||||
const modelIds = apiConfig?.model_ids ?? [];
|
||||
|
||||
if (enable) {
|
||||
if (modelIds.length > 0) {
|
||||
const modelList = {
|
||||
object: 'list',
|
||||
data: modelIds.map((modelId) => ({
|
||||
id: modelId,
|
||||
name: modelId,
|
||||
owned_by: 'openai',
|
||||
openai: { id: modelId },
|
||||
urlIdx: idx
|
||||
}))
|
||||
};
|
||||
|
||||
requests.push(
|
||||
(async () => {
|
||||
return modelList;
|
||||
})()
|
||||
);
|
||||
} else {
|
||||
requests.push(
|
||||
(async () => {
|
||||
return await getOpenAIModelsDirect(url, OPENAI_API_KEYS[idx])
|
||||
.then((res) => {
|
||||
return res;
|
||||
})
|
||||
.catch((err) => {
|
||||
return {
|
||||
object: 'list',
|
||||
data: [],
|
||||
urlIdx: idx
|
||||
};
|
||||
});
|
||||
})()
|
||||
);
|
||||
}
|
||||
} else {
|
||||
requests.push(
|
||||
(async () => {
|
||||
return {
|
||||
object: 'list',
|
||||
data: [],
|
||||
urlIdx: idx
|
||||
};
|
||||
})()
|
||||
);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
const responses = await Promise.all(requests);
|
||||
|
||||
for (const idx in responses) {
|
||||
const response = responses[idx];
|
||||
const apiConfig = OPENAI_API_CONFIGS[idx.toString()] ?? {};
|
||||
|
||||
let models = Array.isArray(response) ? response : (response?.data ?? []);
|
||||
models = models.map((model) => ({ ...model, openai: { id: model.id }, urlIdx: idx }));
|
||||
|
||||
const prefixId = apiConfig.prefix_id;
|
||||
if (prefixId) {
|
||||
for (const model of models) {
|
||||
model.id = `${prefixId}.${model.id}`;
|
||||
}
|
||||
}
|
||||
|
||||
localModels = localModels.concat(models);
|
||||
}
|
||||
}
|
||||
|
||||
models = models.concat(
|
||||
localModels.map((model) => ({
|
||||
...model,
|
||||
name: model?.name ?? model?.id,
|
||||
direct: true
|
||||
}))
|
||||
);
|
||||
|
||||
// Remove duplicates
|
||||
const modelsMap = {};
|
||||
for (const model of models) {
|
||||
modelsMap[model.id] = model;
|
||||
}
|
||||
|
||||
models = Object.values(modelsMap);
|
||||
}
|
||||
|
||||
return models;
|
||||
};
|
||||
|
||||
@@ -880,13 +990,14 @@ export const getChangelog = async () => {
|
||||
return res;
|
||||
};
|
||||
|
||||
export const getVersionUpdates = async () => {
|
||||
export const getVersionUpdates = async (token: string) => {
|
||||
let error = null;
|
||||
|
||||
const res = await fetch(`${WEBUI_BASE_URL}/api/version/updates`, {
|
||||
method: 'GET',
|
||||
headers: {
|
||||
'Content-Type': 'application/json'
|
||||
'Content-Type': 'application/json',
|
||||
Authorization: `Bearer ${token}`
|
||||
}
|
||||
})
|
||||
.then(async (res) => {
|
||||
|
||||
@@ -219,7 +219,7 @@ export const deleteModelById = async (token: string, id: string) => {
|
||||
return json;
|
||||
})
|
||||
.catch((err) => {
|
||||
error = err;
|
||||
error = err.detail;
|
||||
|
||||
console.log(err);
|
||||
return null;
|
||||
|
||||
@@ -360,12 +360,7 @@ export const generateChatCompletion = async (token: string = '', body: object) =
|
||||
return [res, controller];
|
||||
};
|
||||
|
||||
export const createModel = async (
|
||||
token: string,
|
||||
tagName: string,
|
||||
content: string,
|
||||
urlIdx: string | null = null
|
||||
) => {
|
||||
export const createModel = async (token: string, payload: object, urlIdx: string | null = null) => {
|
||||
let error = null;
|
||||
|
||||
const res = await fetch(
|
||||
@@ -377,10 +372,7 @@ export const createModel = async (
|
||||
'Content-Type': 'application/json',
|
||||
Authorization: `Bearer ${token}`
|
||||
},
|
||||
body: JSON.stringify({
|
||||
name: tagName,
|
||||
modelfile: content
|
||||
})
|
||||
body: JSON.stringify(payload)
|
||||
}
|
||||
).catch((err) => {
|
||||
error = err;
|
||||
|
||||
@@ -208,6 +208,33 @@ export const updateOpenAIKeys = async (token: string = '', keys: string[]) => {
|
||||
return res.OPENAI_API_KEYS;
|
||||
};
|
||||
|
||||
export const getOpenAIModelsDirect = async (url: string, key: string) => {
|
||||
let error = null;
|
||||
|
||||
const res = await fetch(`${url}/models`, {
|
||||
method: 'GET',
|
||||
headers: {
|
||||
Accept: 'application/json',
|
||||
'Content-Type': 'application/json',
|
||||
...(key && { authorization: `Bearer ${key}` })
|
||||
}
|
||||
})
|
||||
.then(async (res) => {
|
||||
if (!res.ok) throw await res.json();
|
||||
return res.json();
|
||||
})
|
||||
.catch((err) => {
|
||||
error = `OpenAI: ${err?.error?.message ?? 'Network Problem'}`;
|
||||
return [];
|
||||
});
|
||||
|
||||
if (error) {
|
||||
throw error;
|
||||
}
|
||||
|
||||
return res;
|
||||
};
|
||||
|
||||
export const getOpenAIModels = async (token: string, urlIdx?: number) => {
|
||||
let error = null;
|
||||
|
||||
@@ -241,33 +268,62 @@ export const getOpenAIModels = async (token: string, urlIdx?: number) => {
|
||||
export const verifyOpenAIConnection = async (
|
||||
token: string = '',
|
||||
url: string = 'https://api.openai.com/v1',
|
||||
key: string = ''
|
||||
key: string = '',
|
||||
direct: boolean = false
|
||||
) => {
|
||||
if (!url) {
|
||||
throw 'OpenAI: URL is required';
|
||||
}
|
||||
|
||||
let error = null;
|
||||
let res = null;
|
||||
|
||||
const res = await fetch(`${OPENAI_API_BASE_URL}/verify`, {
|
||||
method: 'POST',
|
||||
headers: {
|
||||
Accept: 'application/json',
|
||||
Authorization: `Bearer ${token}`,
|
||||
'Content-Type': 'application/json'
|
||||
},
|
||||
body: JSON.stringify({
|
||||
url,
|
||||
key
|
||||
if (direct) {
|
||||
res = await fetch(`${url}/models`, {
|
||||
method: 'GET',
|
||||
headers: {
|
||||
Accept: 'application/json',
|
||||
Authorization: `Bearer ${key}`,
|
||||
'Content-Type': 'application/json'
|
||||
}
|
||||
})
|
||||
})
|
||||
.then(async (res) => {
|
||||
if (!res.ok) throw await res.json();
|
||||
return res.json();
|
||||
})
|
||||
.catch((err) => {
|
||||
error = `OpenAI: ${err?.error?.message ?? 'Network Problem'}`;
|
||||
return [];
|
||||
});
|
||||
.then(async (res) => {
|
||||
if (!res.ok) throw await res.json();
|
||||
return res.json();
|
||||
})
|
||||
.catch((err) => {
|
||||
error = `OpenAI: ${err?.error?.message ?? 'Network Problem'}`;
|
||||
return [];
|
||||
});
|
||||
|
||||
if (error) {
|
||||
throw error;
|
||||
if (error) {
|
||||
throw error;
|
||||
}
|
||||
} else {
|
||||
res = await fetch(`${OPENAI_API_BASE_URL}/verify`, {
|
||||
method: 'POST',
|
||||
headers: {
|
||||
Accept: 'application/json',
|
||||
Authorization: `Bearer ${token}`,
|
||||
'Content-Type': 'application/json'
|
||||
},
|
||||
body: JSON.stringify({
|
||||
url,
|
||||
key
|
||||
})
|
||||
})
|
||||
.then(async (res) => {
|
||||
if (!res.ok) throw await res.json();
|
||||
return res.json();
|
||||
})
|
||||
.catch((err) => {
|
||||
error = `OpenAI: ${err?.error?.message ?? 'Network Problem'}`;
|
||||
return [];
|
||||
});
|
||||
|
||||
if (error) {
|
||||
throw error;
|
||||
}
|
||||
}
|
||||
|
||||
return res;
|
||||
@@ -322,7 +378,7 @@ export const generateOpenAIChatCompletion = async (
|
||||
return res.json();
|
||||
})
|
||||
.catch((err) => {
|
||||
error = `${err?.detail ?? 'Network Problem'}`;
|
||||
error = `${err?.detail ?? err}`;
|
||||
return null;
|
||||
});
|
||||
|
||||
|
||||
+8
-4
@@ -20,7 +20,9 @@
|
||||
|
||||
export let show = false;
|
||||
export let edit = false;
|
||||
|
||||
export let ollama = false;
|
||||
export let direct = false;
|
||||
|
||||
export let connection = null;
|
||||
|
||||
@@ -37,7 +39,7 @@
|
||||
|
||||
const verifyOllamaHandler = async () => {
|
||||
const res = await verifyOllamaConnection(localStorage.token, url, key).catch((error) => {
|
||||
toast.error(error);
|
||||
toast.error(`${error}`);
|
||||
});
|
||||
|
||||
if (res) {
|
||||
@@ -46,9 +48,11 @@
|
||||
};
|
||||
|
||||
const verifyOpenAIHandler = async () => {
|
||||
const res = await verifyOpenAIConnection(localStorage.token, url, key).catch((error) => {
|
||||
toast.error(error);
|
||||
});
|
||||
const res = await verifyOpenAIConnection(localStorage.token, url, key, direct).catch(
|
||||
(error) => {
|
||||
toast.error(`${error}`);
|
||||
}
|
||||
);
|
||||
|
||||
if (res) {
|
||||
toast.success($i18n.t('Server connection verified'));
|
||||
@@ -65,7 +65,7 @@
|
||||
};
|
||||
|
||||
const shareHandler = async () => {
|
||||
toast.success($i18n.t('Redirecting you to OpenWebUI Community'));
|
||||
toast.success($i18n.t('Redirecting you to Open WebUI Community'));
|
||||
|
||||
// remove snapshot from feedbacks
|
||||
const feedbacksToShare = feedbacks.map((f) => {
|
||||
@@ -266,7 +266,7 @@
|
||||
}}
|
||||
>
|
||||
<div class=" self-center mr-2 font-medium line-clamp-1">
|
||||
{$i18n.t('Share to OpenWebUI Community')}
|
||||
{$i18n.t('Share to Open WebUI Community')}
|
||||
</div>
|
||||
|
||||
<div class=" self-center">
|
||||
|
||||
@@ -1,6 +1,8 @@
|
||||
<script lang="ts">
|
||||
import * as ort from 'onnxruntime-web';
|
||||
import { AutoModel, AutoTokenizer } from '@huggingface/transformers';
|
||||
import { env, AutoModel, AutoTokenizer } from '@huggingface/transformers';
|
||||
|
||||
env.backends.onnx.wasm.wasmPaths = '/wasm/';
|
||||
|
||||
import { onMount, getContext } from 'svelte';
|
||||
import { models } from '$lib/stores';
|
||||
|
||||
@@ -3,7 +3,7 @@
|
||||
import fileSaver from 'file-saver';
|
||||
const { saveAs } = fileSaver;
|
||||
|
||||
import { WEBUI_NAME, config, functions, models } from '$lib/stores';
|
||||
import { WEBUI_NAME, config, functions, models, settings } from '$lib/stores';
|
||||
import { onMount, getContext, tick } from 'svelte';
|
||||
|
||||
import { goto } from '$app/navigation';
|
||||
@@ -61,11 +61,11 @@
|
||||
|
||||
const shareHandler = async (func) => {
|
||||
const item = await getFunctionById(localStorage.token, func.id).catch((error) => {
|
||||
toast.error(error);
|
||||
toast.error(`${error}`);
|
||||
return null;
|
||||
});
|
||||
|
||||
toast.success($i18n.t('Redirecting you to OpenWebUI Community'));
|
||||
toast.success($i18n.t('Redirecting you to Open WebUI Community'));
|
||||
|
||||
const url = 'https://openwebui.com';
|
||||
|
||||
@@ -88,7 +88,7 @@
|
||||
|
||||
const cloneHandler = async (func) => {
|
||||
const _function = await getFunctionById(localStorage.token, func.id).catch((error) => {
|
||||
toast.error(error);
|
||||
toast.error(`${error}`);
|
||||
return null;
|
||||
});
|
||||
|
||||
@@ -104,7 +104,7 @@
|
||||
|
||||
const exportHandler = async (func) => {
|
||||
const _function = await getFunctionById(localStorage.token, func.id).catch((error) => {
|
||||
toast.error(error);
|
||||
toast.error(`${error}`);
|
||||
return null;
|
||||
});
|
||||
|
||||
@@ -118,7 +118,7 @@
|
||||
|
||||
const deleteHandler = async (func) => {
|
||||
const res = await deleteFunctionById(localStorage.token, func.id).catch((error) => {
|
||||
toast.error(error);
|
||||
toast.error(`${error}`);
|
||||
return null;
|
||||
});
|
||||
|
||||
@@ -126,13 +126,18 @@
|
||||
toast.success($i18n.t('Function deleted successfully'));
|
||||
|
||||
functions.set(await getFunctions(localStorage.token));
|
||||
models.set(await getModels(localStorage.token));
|
||||
models.set(
|
||||
await getModels(
|
||||
localStorage.token,
|
||||
$config?.features?.enable_direct_connections && ($settings?.directConnections ?? null)
|
||||
)
|
||||
);
|
||||
}
|
||||
};
|
||||
|
||||
const toggleGlobalHandler = async (func) => {
|
||||
const res = await toggleGlobalById(localStorage.token, func.id).catch((error) => {
|
||||
toast.error(error);
|
||||
toast.error(`${error}`);
|
||||
});
|
||||
|
||||
if (res) {
|
||||
@@ -147,7 +152,12 @@
|
||||
}
|
||||
|
||||
functions.set(await getFunctions(localStorage.token));
|
||||
models.set(await getModels(localStorage.token));
|
||||
models.set(
|
||||
await getModels(
|
||||
localStorage.token,
|
||||
$config?.features?.enable_direct_connections && ($settings?.directConnections ?? null)
|
||||
)
|
||||
);
|
||||
}
|
||||
};
|
||||
|
||||
@@ -359,7 +369,13 @@
|
||||
bind:state={func.is_active}
|
||||
on:change={async (e) => {
|
||||
toggleFunctionById(localStorage.token, func.id);
|
||||
models.set(await getModels(localStorage.token));
|
||||
models.set(
|
||||
await getModels(
|
||||
localStorage.token,
|
||||
$config?.features?.enable_direct_connections &&
|
||||
($settings?.directConnections ?? null)
|
||||
)
|
||||
);
|
||||
}}
|
||||
/>
|
||||
</Tooltip>
|
||||
@@ -418,7 +434,7 @@
|
||||
class="flex text-xs items-center space-x-1 px-3 py-1.5 rounded-xl bg-gray-50 hover:bg-gray-100 dark:bg-gray-800 dark:hover:bg-gray-700 dark:text-gray-200 transition"
|
||||
on:click={async () => {
|
||||
const _functions = await exportFunctions(localStorage.token).catch((error) => {
|
||||
toast.error(error);
|
||||
toast.error(`${error}`);
|
||||
return null;
|
||||
});
|
||||
|
||||
@@ -453,7 +469,7 @@
|
||||
{#if $config?.features.enable_community_sharing}
|
||||
<div class=" my-16">
|
||||
<div class=" text-xl font-medium mb-1 line-clamp-1">
|
||||
{$i18n.t('Made by OpenWebUI Community')}
|
||||
{$i18n.t('Made by Open WebUI Community')}
|
||||
</div>
|
||||
|
||||
<a
|
||||
@@ -496,7 +512,12 @@
|
||||
id={selectedFunction?.id ?? null}
|
||||
on:save={async () => {
|
||||
await tick();
|
||||
models.set(await getModels(localStorage.token));
|
||||
models.set(
|
||||
await getModels(
|
||||
localStorage.token,
|
||||
$config?.features?.enable_direct_connections && ($settings?.directConnections ?? null)
|
||||
)
|
||||
);
|
||||
}}
|
||||
/>
|
||||
|
||||
@@ -510,14 +531,19 @@
|
||||
|
||||
for (const func of _functions) {
|
||||
const res = await createNewFunction(localStorage.token, func).catch((error) => {
|
||||
toast.error(error);
|
||||
toast.error(`${error}`);
|
||||
return null;
|
||||
});
|
||||
}
|
||||
|
||||
toast.success($i18n.t('Functions imported successfully'));
|
||||
functions.set(await getFunctions(localStorage.token));
|
||||
models.set(await getModels(localStorage.token));
|
||||
models.set(
|
||||
await getModels(
|
||||
localStorage.token,
|
||||
$config?.features?.enable_direct_connections && ($settings?.directConnections ?? null)
|
||||
)
|
||||
);
|
||||
};
|
||||
|
||||
reader.readAsText(importFiles[0]);
|
||||
|
||||
@@ -19,6 +19,7 @@
|
||||
import ChartBar from '../icons/ChartBar.svelte';
|
||||
import DocumentChartBar from '../icons/DocumentChartBar.svelte';
|
||||
import Evaluations from './Settings/Evaluations.svelte';
|
||||
import CodeInterpreter from './Settings/CodeInterpreter.svelte';
|
||||
|
||||
const i18n = getContext('i18n');
|
||||
|
||||
@@ -188,6 +189,32 @@
|
||||
<div class=" self-center">{$i18n.t('Web Search')}</div>
|
||||
</button>
|
||||
|
||||
<button
|
||||
class="px-0.5 py-1 min-w-fit rounded-lg flex-1 md:flex-none flex text-right transition {selectedTab ===
|
||||
'code-interpreter'
|
||||
? ''
|
||||
: ' text-gray-300 dark:text-gray-600 hover:text-gray-700 dark:hover:text-white'}"
|
||||
on:click={() => {
|
||||
selectedTab = 'code-interpreter';
|
||||
}}
|
||||
>
|
||||
<div class=" self-center mr-2">
|
||||
<svg
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
viewBox="0 0 16 16"
|
||||
fill="currentColor"
|
||||
class="size-4"
|
||||
>
|
||||
<path
|
||||
fill-rule="evenodd"
|
||||
d="M2 4a2 2 0 0 1 2-2h8a2 2 0 0 1 2 2v8a2 2 0 0 1-2 2H4a2 2 0 0 1-2-2V4Zm2.22 1.97a.75.75 0 0 0 0 1.06l.97.97-.97.97a.75.75 0 1 0 1.06 1.06l1.5-1.5a.75.75 0 0 0 0-1.06l-1.5-1.5a.75.75 0 0 0-1.06 0ZM8.75 8.5a.75.75 0 0 0 0 1.5h2.5a.75.75 0 0 0 0-1.5h-2.5Z"
|
||||
clip-rule="evenodd"
|
||||
/>
|
||||
</svg>
|
||||
</div>
|
||||
<div class=" self-center">{$i18n.t('Code Interpreter')}</div>
|
||||
</button>
|
||||
|
||||
<button
|
||||
class="px-0.5 py-1 min-w-fit rounded-lg flex-1 md:flex-none flex text-right transition {selectedTab ===
|
||||
'interface'
|
||||
@@ -364,6 +391,15 @@
|
||||
await config.set(await getBackendConfig());
|
||||
}}
|
||||
/>
|
||||
{:else if selectedTab === 'code-interpreter'}
|
||||
<CodeInterpreter
|
||||
saveHandler={async () => {
|
||||
toast.success($i18n.t('Settings saved successfully!'));
|
||||
|
||||
await tick();
|
||||
await config.set(await getBackendConfig());
|
||||
}}
|
||||
/>
|
||||
{:else if selectedTab === 'interface'}
|
||||
<Interface
|
||||
on:save={() => {
|
||||
|
||||
@@ -10,7 +10,7 @@
|
||||
getModels as _getModels,
|
||||
getVoices as _getVoices
|
||||
} from '$lib/apis/audio';
|
||||
import { config } from '$lib/stores';
|
||||
import { config, settings } from '$lib/stores';
|
||||
|
||||
import SensitiveInput from '$lib/components/common/SensitiveInput.svelte';
|
||||
|
||||
@@ -39,6 +39,7 @@
|
||||
let STT_ENGINE = '';
|
||||
let STT_MODEL = '';
|
||||
let STT_WHISPER_MODEL = '';
|
||||
let STT_DEEPGRAM_API_KEY = '';
|
||||
|
||||
let STT_WHISPER_MODEL_LOADING = false;
|
||||
|
||||
@@ -50,8 +51,11 @@
|
||||
if (TTS_ENGINE === '') {
|
||||
models = [];
|
||||
} else {
|
||||
const res = await _getModels(localStorage.token).catch((e) => {
|
||||
toast.error(e);
|
||||
const res = await _getModels(
|
||||
localStorage.token,
|
||||
$config?.features?.enable_direct_connections && ($settings?.directConnections ?? null)
|
||||
).catch((e) => {
|
||||
toast.error(`${e}`);
|
||||
});
|
||||
|
||||
if (res) {
|
||||
@@ -74,7 +78,7 @@
|
||||
}, 100);
|
||||
} else {
|
||||
const res = await _getVoices(localStorage.token).catch((e) => {
|
||||
toast.error(e);
|
||||
toast.error(`${e}`);
|
||||
});
|
||||
|
||||
if (res) {
|
||||
@@ -103,7 +107,8 @@
|
||||
OPENAI_API_KEY: STT_OPENAI_API_KEY,
|
||||
ENGINE: STT_ENGINE,
|
||||
MODEL: STT_MODEL,
|
||||
WHISPER_MODEL: STT_WHISPER_MODEL
|
||||
WHISPER_MODEL: STT_WHISPER_MODEL,
|
||||
DEEPGRAM_API_KEY: STT_DEEPGRAM_API_KEY
|
||||
}
|
||||
});
|
||||
|
||||
@@ -143,6 +148,7 @@
|
||||
STT_ENGINE = res.stt.ENGINE;
|
||||
STT_MODEL = res.stt.MODEL;
|
||||
STT_WHISPER_MODEL = res.stt.WHISPER_MODEL;
|
||||
STT_DEEPGRAM_API_KEY = res.stt.DEEPGRAM_API_KEY;
|
||||
}
|
||||
|
||||
await getVoices();
|
||||
@@ -173,6 +179,7 @@
|
||||
<option value="">{$i18n.t('Whisper (Local)')}</option>
|
||||
<option value="openai">OpenAI</option>
|
||||
<option value="web">{$i18n.t('Web API')}</option>
|
||||
<option value="deepgram">Deepgram</option>
|
||||
</select>
|
||||
</div>
|
||||
</div>
|
||||
@@ -210,6 +217,37 @@
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
{:else if STT_ENGINE === 'deepgram'}
|
||||
<div>
|
||||
<div class="mt-1 flex gap-2 mb-1">
|
||||
<SensitiveInput placeholder={$i18n.t('API Key')} bind:value={STT_DEEPGRAM_API_KEY} />
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<hr class=" dark:border-gray-850 my-2" />
|
||||
|
||||
<div>
|
||||
<div class=" mb-1.5 text-sm font-medium">{$i18n.t('STT Model')}</div>
|
||||
<div class="flex w-full">
|
||||
<div class="flex-1">
|
||||
<input
|
||||
class="w-full rounded-lg py-2 px-4 text-sm bg-gray-50 dark:text-gray-300 dark:bg-gray-850 outline-none"
|
||||
bind:value={STT_MODEL}
|
||||
placeholder="Select a model (optional)"
|
||||
/>
|
||||
</div>
|
||||
</div>
|
||||
<div class="mt-2 mb-1 text-xs text-gray-400 dark:text-gray-500">
|
||||
{$i18n.t('Leave model field empty to use the default model.')}
|
||||
<a
|
||||
class=" hover:underline dark:text-gray-200 text-gray-800"
|
||||
href="https://developers.deepgram.com/docs/models"
|
||||
target="_blank"
|
||||
>
|
||||
{$i18n.t('Click here to see available models.')}
|
||||
</a>
|
||||
</div>
|
||||
</div>
|
||||
{:else if STT_ENGINE === ''}
|
||||
<div>
|
||||
<div class=" mb-1.5 text-sm font-medium">{$i18n.t('STT Model')}</div>
|
||||
|
||||
@@ -0,0 +1,166 @@
|
||||
<script lang="ts">
|
||||
import { toast } from 'svelte-sonner';
|
||||
import { onMount, getContext } from 'svelte';
|
||||
import { getCodeInterpreterConfig, setCodeInterpreterConfig } from '$lib/apis/configs';
|
||||
|
||||
import SensitiveInput from '$lib/components/common/SensitiveInput.svelte';
|
||||
|
||||
import Tooltip from '$lib/components/common/Tooltip.svelte';
|
||||
import Textarea from '$lib/components/common/Textarea.svelte';
|
||||
import Switch from '$lib/components/common/Switch.svelte';
|
||||
|
||||
const i18n = getContext('i18n');
|
||||
|
||||
export let saveHandler: Function;
|
||||
|
||||
let config = null;
|
||||
|
||||
let engines = ['pyodide', 'jupyter'];
|
||||
|
||||
const submitHandler = async () => {
|
||||
const res = await setCodeInterpreterConfig(localStorage.token, config);
|
||||
};
|
||||
|
||||
onMount(async () => {
|
||||
const res = await getCodeInterpreterConfig(localStorage.token);
|
||||
|
||||
if (res) {
|
||||
config = res;
|
||||
}
|
||||
});
|
||||
</script>
|
||||
|
||||
<form
|
||||
class="flex flex-col h-full justify-between space-y-3 text-sm"
|
||||
on:submit|preventDefault={async () => {
|
||||
await submitHandler();
|
||||
saveHandler();
|
||||
}}
|
||||
>
|
||||
<div class=" space-y-3 overflow-y-scroll scrollbar-hidden h-full">
|
||||
{#if config}
|
||||
<div>
|
||||
<div class=" mb-1 text-sm font-medium">
|
||||
{$i18n.t('Code Interpreter')}
|
||||
</div>
|
||||
|
||||
<div>
|
||||
<div class=" py-0.5 flex w-full justify-between">
|
||||
<div class=" self-center text-xs font-medium">
|
||||
{$i18n.t('Enable Code Interpreter')}
|
||||
</div>
|
||||
|
||||
<Switch bind:state={config.ENABLE_CODE_INTERPRETER} />
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div class=" py-0.5 flex w-full justify-between">
|
||||
<div class=" self-center text-xs font-medium">{$i18n.t('Code Interpreter Engine')}</div>
|
||||
<div class="flex items-center relative">
|
||||
<select
|
||||
class="dark:bg-gray-900 w-fit pr-8 rounded px-2 p-1 text-xs bg-transparent outline-none text-right"
|
||||
bind:value={config.CODE_INTERPRETER_ENGINE}
|
||||
placeholder={$i18n.t('Select a engine')}
|
||||
required
|
||||
>
|
||||
<option disabled selected value="">{$i18n.t('Select a engine')}</option>
|
||||
{#each engines as engine}
|
||||
<option value={engine}>{engine}</option>
|
||||
{/each}
|
||||
</select>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
{#if config.CODE_INTERPRETER_ENGINE === 'jupyter'}
|
||||
<div class="mt-1 flex flex-col gap-1.5 mb-1 w-full">
|
||||
<div class="text-xs font-medium">
|
||||
{$i18n.t('Jupyter URL')}
|
||||
</div>
|
||||
|
||||
<div class="flex w-full">
|
||||
<div class="flex-1">
|
||||
<input
|
||||
class="w-full text-sm py-0.5 placeholder:text-gray-300 dark:placeholder:text-gray-700 bg-transparent outline-none"
|
||||
type="text"
|
||||
placeholder={$i18n.t('Enter Jupyter URL')}
|
||||
bind:value={config.CODE_INTERPRETER_JUPYTER_URL}
|
||||
autocomplete="off"
|
||||
/>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div class="mt-1 flex gap-2 mb-1 w-full items-center justify-between">
|
||||
<div class="text-xs font-medium">
|
||||
{$i18n.t('Jupyter Auth')}
|
||||
</div>
|
||||
|
||||
<div>
|
||||
<select
|
||||
class="dark:bg-gray-900 w-fit pr-8 rounded px-2 p-1 text-xs bg-transparent outline-none text-left"
|
||||
bind:value={config.CODE_INTERPRETER_JUPYTER_AUTH}
|
||||
placeholder={$i18n.t('Select an auth method')}
|
||||
>
|
||||
<option selected value="">{$i18n.t('None')}</option>
|
||||
<option value="token">{$i18n.t('Token')}</option>
|
||||
<option value="password">{$i18n.t('Password')}</option>
|
||||
</select>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
{#if config.CODE_INTERPRETER_JUPYTER_AUTH}
|
||||
<div class="flex w-full gap-2">
|
||||
<div class="flex-1">
|
||||
{#if config.CODE_INTERPRETER_JUPYTER_AUTH === 'password'}
|
||||
<SensitiveInput
|
||||
type="text"
|
||||
placeholder={$i18n.t('Enter Jupyter Password')}
|
||||
bind:value={config.CODE_INTERPRETER_JUPYTER_AUTH_PASSWORD}
|
||||
autocomplete="off"
|
||||
/>
|
||||
{:else}
|
||||
<SensitiveInput
|
||||
type="text"
|
||||
placeholder={$i18n.t('Enter Jupyter Token')}
|
||||
bind:value={config.CODE_INTERPRETER_JUPYTER_AUTH_TOKEN}
|
||||
autocomplete="off"
|
||||
/>
|
||||
{/if}
|
||||
</div>
|
||||
</div>
|
||||
{/if}
|
||||
{/if}
|
||||
</div>
|
||||
|
||||
<hr class=" dark:border-gray-850 my-2" />
|
||||
|
||||
<div>
|
||||
<div class="py-0.5 w-full">
|
||||
<div class=" mb-2.5 text-xs font-medium">
|
||||
{$i18n.t('Code Interpreter Prompt Template')}
|
||||
</div>
|
||||
|
||||
<Tooltip
|
||||
content={$i18n.t('Leave empty to use the default prompt, or enter a custom prompt')}
|
||||
placement="top-start"
|
||||
>
|
||||
<Textarea
|
||||
bind:value={config.CODE_INTERPRETER_PROMPT_TEMPLATE}
|
||||
placeholder={$i18n.t(
|
||||
'Leave empty to use the default prompt, or enter a custom prompt'
|
||||
)}
|
||||
/>
|
||||
</Tooltip>
|
||||
</div>
|
||||
</div>
|
||||
{/if}
|
||||
</div>
|
||||
<div class="flex justify-end pt-3 text-sm font-medium">
|
||||
<button
|
||||
class="px-3.5 py-1.5 text-sm font-medium bg-black hover:bg-gray-900 text-white dark:bg-white dark:text-black dark:hover:bg-gray-100 transition rounded-full"
|
||||
type="submit"
|
||||
>
|
||||
{$i18n.t('Save')}
|
||||
</button>
|
||||
</div>
|
||||
</form>
|
||||
@@ -7,8 +7,9 @@
|
||||
import { getOllamaConfig, updateOllamaConfig } from '$lib/apis/ollama';
|
||||
import { getOpenAIConfig, updateOpenAIConfig, getOpenAIModels } from '$lib/apis/openai';
|
||||
import { getModels as _getModels } from '$lib/apis';
|
||||
import { getDirectConnectionsConfig, setDirectConnectionsConfig } from '$lib/apis/configs';
|
||||
|
||||
import { models, user } from '$lib/stores';
|
||||
import { config, models, settings, user } from '$lib/stores';
|
||||
|
||||
import Switch from '$lib/components/common/Switch.svelte';
|
||||
import Spinner from '$lib/components/common/Spinner.svelte';
|
||||
@@ -16,13 +17,16 @@
|
||||
import Plus from '$lib/components/icons/Plus.svelte';
|
||||
|
||||
import OpenAIConnection from './Connections/OpenAIConnection.svelte';
|
||||
import AddConnectionModal from './Connections/AddConnectionModal.svelte';
|
||||
import AddConnectionModal from '$lib/components/AddConnectionModal.svelte';
|
||||
import OllamaConnection from './Connections/OllamaConnection.svelte';
|
||||
|
||||
const i18n = getContext('i18n');
|
||||
|
||||
const getModels = async () => {
|
||||
const models = await _getModels(localStorage.token);
|
||||
const models = await _getModels(
|
||||
localStorage.token,
|
||||
$config?.features?.enable_direct_connections && ($settings?.directConnections ?? null)
|
||||
);
|
||||
return models;
|
||||
};
|
||||
|
||||
@@ -37,15 +41,16 @@
|
||||
let ENABLE_OPENAI_API: null | boolean = null;
|
||||
let ENABLE_OLLAMA_API: null | boolean = null;
|
||||
|
||||
let directConnectionsConfig = null;
|
||||
|
||||
let pipelineUrls = {};
|
||||
let showAddOpenAIConnectionModal = false;
|
||||
let showAddOllamaConnectionModal = false;
|
||||
|
||||
const updateOpenAIHandler = async () => {
|
||||
if (ENABLE_OPENAI_API !== null) {
|
||||
OPENAI_API_BASE_URLS = OPENAI_API_BASE_URLS.filter(
|
||||
(url, urlIdx) => OPENAI_API_BASE_URLS.indexOf(url) === urlIdx && url !== ''
|
||||
).map((url) => url.replace(/\/$/, ''));
|
||||
// Remove trailing slashes
|
||||
OPENAI_API_BASE_URLS = OPENAI_API_BASE_URLS.map((url) => url.replace(/\/$/, ''));
|
||||
|
||||
// Check if API KEYS length is same than API URLS length
|
||||
if (OPENAI_API_KEYS.length !== OPENAI_API_BASE_URLS.length) {
|
||||
@@ -69,7 +74,7 @@
|
||||
OPENAI_API_KEYS: OPENAI_API_KEYS,
|
||||
OPENAI_API_CONFIGS: OPENAI_API_CONFIGS
|
||||
}).catch((error) => {
|
||||
toast.error(error);
|
||||
toast.error(`${error}`);
|
||||
});
|
||||
|
||||
if (res) {
|
||||
@@ -81,24 +86,15 @@
|
||||
|
||||
const updateOllamaHandler = async () => {
|
||||
if (ENABLE_OLLAMA_API !== null) {
|
||||
// Remove duplicate URLs
|
||||
OLLAMA_BASE_URLS = OLLAMA_BASE_URLS.filter(
|
||||
(url, urlIdx) => OLLAMA_BASE_URLS.indexOf(url) === urlIdx && url !== ''
|
||||
).map((url) => url.replace(/\/$/, ''));
|
||||
|
||||
console.log(OLLAMA_BASE_URLS);
|
||||
|
||||
if (OLLAMA_BASE_URLS.length === 0) {
|
||||
ENABLE_OLLAMA_API = false;
|
||||
toast.info($i18n.t('Ollama API disabled'));
|
||||
}
|
||||
// Remove trailing slashes
|
||||
OLLAMA_BASE_URLS = OLLAMA_BASE_URLS.map((url) => url.replace(/\/$/, ''));
|
||||
|
||||
const res = await updateOllamaConfig(localStorage.token, {
|
||||
ENABLE_OLLAMA_API: ENABLE_OLLAMA_API,
|
||||
OLLAMA_BASE_URLS: OLLAMA_BASE_URLS,
|
||||
OLLAMA_API_CONFIGS: OLLAMA_API_CONFIGS
|
||||
}).catch((error) => {
|
||||
toast.error(error);
|
||||
toast.error(`${error}`);
|
||||
});
|
||||
|
||||
if (res) {
|
||||
@@ -108,17 +104,33 @@
|
||||
}
|
||||
};
|
||||
|
||||
const updateDirectConnectionsHandler = async () => {
|
||||
const res = await setDirectConnectionsConfig(localStorage.token, directConnectionsConfig).catch(
|
||||
(error) => {
|
||||
toast.error(`${error}`);
|
||||
}
|
||||
);
|
||||
|
||||
if (res) {
|
||||
toast.success($i18n.t('Direct Connections settings updated'));
|
||||
await models.set(await getModels());
|
||||
}
|
||||
};
|
||||
|
||||
const addOpenAIConnectionHandler = async (connection) => {
|
||||
OPENAI_API_BASE_URLS = [...OPENAI_API_BASE_URLS, connection.url];
|
||||
OPENAI_API_KEYS = [...OPENAI_API_KEYS, connection.key];
|
||||
OPENAI_API_CONFIGS[connection.url] = connection.config;
|
||||
OPENAI_API_CONFIGS[OPENAI_API_BASE_URLS.length - 1] = connection.config;
|
||||
|
||||
await updateOpenAIHandler();
|
||||
};
|
||||
|
||||
const addOllamaConnectionHandler = async (connection) => {
|
||||
OLLAMA_BASE_URLS = [...OLLAMA_BASE_URLS, connection.url];
|
||||
OLLAMA_API_CONFIGS[connection.url] = connection.config;
|
||||
OLLAMA_API_CONFIGS[OLLAMA_BASE_URLS.length - 1] = {
|
||||
...connection.config,
|
||||
key: connection.key
|
||||
};
|
||||
|
||||
await updateOllamaHandler();
|
||||
};
|
||||
@@ -134,6 +146,9 @@
|
||||
})(),
|
||||
(async () => {
|
||||
openaiConfig = await getOpenAIConfig(localStorage.token);
|
||||
})(),
|
||||
(async () => {
|
||||
directConnectionsConfig = await getDirectConnectionsConfig(localStorage.token);
|
||||
})()
|
||||
]);
|
||||
|
||||
@@ -148,15 +163,17 @@
|
||||
OLLAMA_API_CONFIGS = ollamaConfig.OLLAMA_API_CONFIGS;
|
||||
|
||||
if (ENABLE_OPENAI_API) {
|
||||
for (const url of OPENAI_API_BASE_URLS) {
|
||||
if (!OPENAI_API_CONFIGS[url]) {
|
||||
OPENAI_API_CONFIGS[url] = {};
|
||||
// get url and idx
|
||||
for (const [idx, url] of OPENAI_API_BASE_URLS.entries()) {
|
||||
if (!OPENAI_API_CONFIGS[idx]) {
|
||||
// Legacy support, url as key
|
||||
OPENAI_API_CONFIGS[idx] = OPENAI_API_CONFIGS[url] || {};
|
||||
}
|
||||
}
|
||||
|
||||
OPENAI_API_BASE_URLS.forEach(async (url, idx) => {
|
||||
OPENAI_API_CONFIGS[url] = OPENAI_API_CONFIGS[url] || {};
|
||||
if (!(OPENAI_API_CONFIGS[url]?.enable ?? true)) {
|
||||
OPENAI_API_CONFIGS[idx] = OPENAI_API_CONFIGS[idx] || {};
|
||||
if (!(OPENAI_API_CONFIGS[idx]?.enable ?? true)) {
|
||||
return;
|
||||
}
|
||||
const res = await getOpenAIModels(localStorage.token, idx);
|
||||
@@ -167,14 +184,22 @@
|
||||
}
|
||||
|
||||
if (ENABLE_OLLAMA_API) {
|
||||
for (const url of OLLAMA_BASE_URLS) {
|
||||
if (!OLLAMA_API_CONFIGS[url]) {
|
||||
OLLAMA_API_CONFIGS[url] = {};
|
||||
for (const [idx, url] of OLLAMA_BASE_URLS.entries()) {
|
||||
if (!OLLAMA_API_CONFIGS[idx]) {
|
||||
OLLAMA_API_CONFIGS[idx] = OLLAMA_API_CONFIGS[url] || {};
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
});
|
||||
|
||||
const submitHandler = async () => {
|
||||
updateOpenAIHandler();
|
||||
updateOllamaHandler();
|
||||
updateDirectConnectionsHandler();
|
||||
|
||||
dispatch('save');
|
||||
};
|
||||
</script>
|
||||
|
||||
<AddConnectionModal
|
||||
@@ -188,17 +213,9 @@
|
||||
onSubmit={addOllamaConnectionHandler}
|
||||
/>
|
||||
|
||||
<form
|
||||
class="flex flex-col h-full justify-between text-sm"
|
||||
on:submit|preventDefault={() => {
|
||||
updateOpenAIHandler();
|
||||
updateOllamaHandler();
|
||||
|
||||
dispatch('save');
|
||||
}}
|
||||
>
|
||||
<form class="flex flex-col h-full justify-between text-sm" on:submit|preventDefault={submitHandler}>
|
||||
<div class=" overflow-y-scroll scrollbar-hidden h-full">
|
||||
{#if ENABLE_OPENAI_API !== null && ENABLE_OLLAMA_API !== null}
|
||||
{#if ENABLE_OPENAI_API !== null && ENABLE_OLLAMA_API !== null && directConnectionsConfig !== null}
|
||||
<div class="my-2">
|
||||
<div class="mt-2 space-y-2 pr-1.5">
|
||||
<div class="flex justify-between items-center text-sm">
|
||||
@@ -242,7 +259,7 @@
|
||||
pipeline={pipelineUrls[url] ? true : false}
|
||||
bind:url
|
||||
bind:key={OPENAI_API_KEYS[idx]}
|
||||
bind:config={OPENAI_API_CONFIGS[url]}
|
||||
bind:config={OPENAI_API_CONFIGS[idx]}
|
||||
onSubmit={() => {
|
||||
updateOpenAIHandler();
|
||||
}}
|
||||
@@ -251,6 +268,12 @@
|
||||
(url, urlIdx) => idx !== urlIdx
|
||||
);
|
||||
OPENAI_API_KEYS = OPENAI_API_KEYS.filter((key, keyIdx) => idx !== keyIdx);
|
||||
|
||||
let newConfig = {};
|
||||
OPENAI_API_BASE_URLS.forEach((url, newIdx) => {
|
||||
newConfig[newIdx] = OPENAI_API_CONFIGS[newIdx < idx ? newIdx : newIdx + 1];
|
||||
});
|
||||
OPENAI_API_CONFIGS = newConfig;
|
||||
}}
|
||||
/>
|
||||
{/each}
|
||||
@@ -301,13 +324,19 @@
|
||||
{#each OLLAMA_BASE_URLS as url, idx}
|
||||
<OllamaConnection
|
||||
bind:url
|
||||
bind:config={OLLAMA_API_CONFIGS[url]}
|
||||
bind:config={OLLAMA_API_CONFIGS[idx]}
|
||||
{idx}
|
||||
onSubmit={() => {
|
||||
updateOllamaHandler();
|
||||
}}
|
||||
onDelete={() => {
|
||||
OLLAMA_BASE_URLS = OLLAMA_BASE_URLS.filter((url, urlIdx) => idx !== urlIdx);
|
||||
|
||||
let newConfig = {};
|
||||
OLLAMA_BASE_URLS.forEach((url, newIdx) => {
|
||||
newConfig[newIdx] = OLLAMA_API_CONFIGS[newIdx < idx ? newIdx : newIdx + 1];
|
||||
});
|
||||
OLLAMA_API_CONFIGS = newConfig;
|
||||
}}
|
||||
/>
|
||||
{/each}
|
||||
@@ -327,6 +356,33 @@
|
||||
</div>
|
||||
{/if}
|
||||
</div>
|
||||
|
||||
<hr class=" border-gray-50 dark:border-gray-850" />
|
||||
|
||||
<div class="pr-1.5 my-2">
|
||||
<div class="flex justify-between items-center text-sm">
|
||||
<div class=" font-medium">{$i18n.t('Direct Connections')}</div>
|
||||
|
||||
<div class="flex items-center">
|
||||
<div class="">
|
||||
<Switch
|
||||
bind:state={directConnectionsConfig.ENABLE_DIRECT_CONNECTIONS}
|
||||
on:change={async () => {
|
||||
updateDirectConnectionsHandler();
|
||||
}}
|
||||
/>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div class="mt-1.5">
|
||||
<div class="text-xs text-gray-500">
|
||||
{$i18n.t(
|
||||
'Direct Connections allow users to connect to their own OpenAI compatible API endpoints.'
|
||||
)}
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
{:else}
|
||||
<div class="flex h-full justify-center">
|
||||
<div class="my-auto">
|
||||
|
||||
File diff suppressed because it is too large
Load Diff
@@ -4,11 +4,12 @@
|
||||
|
||||
import Tooltip from '$lib/components/common/Tooltip.svelte';
|
||||
import SensitiveInput from '$lib/components/common/SensitiveInput.svelte';
|
||||
import AddConnectionModal from './AddConnectionModal.svelte';
|
||||
import AddConnectionModal from '$lib/components/AddConnectionModal.svelte';
|
||||
|
||||
import Cog6 from '$lib/components/icons/Cog6.svelte';
|
||||
import Wrench from '$lib/components/icons/Wrench.svelte';
|
||||
import ManageOllamaModal from './ManageOllamaModal.svelte';
|
||||
import ArrowDownTray from '$lib/components/icons/ArrowDownTray.svelte';
|
||||
|
||||
export let onDelete = () => {};
|
||||
export let onSubmit = () => {};
|
||||
@@ -70,7 +71,7 @@
|
||||
}}
|
||||
type="button"
|
||||
>
|
||||
<Wrench />
|
||||
<ArrowDownTray />
|
||||
</button>
|
||||
</Tooltip>
|
||||
|
||||
|
||||
@@ -5,7 +5,8 @@
|
||||
import Tooltip from '$lib/components/common/Tooltip.svelte';
|
||||
import SensitiveInput from '$lib/components/common/SensitiveInput.svelte';
|
||||
import Cog6 from '$lib/components/icons/Cog6.svelte';
|
||||
import AddConnectionModal from './AddConnectionModal.svelte';
|
||||
import AddConnectionModal from '$lib/components/AddConnectionModal.svelte';
|
||||
|
||||
import { connect } from 'socket.io-client';
|
||||
|
||||
export let onDelete = () => {};
|
||||
|
||||
@@ -47,7 +47,7 @@
|
||||
reader.onload = async (e) => {
|
||||
const res = await importConfig(localStorage.token, JSON.parse(e.target.result)).catch(
|
||||
(error) => {
|
||||
toast.error(error);
|
||||
toast.error(`${error}`);
|
||||
}
|
||||
);
|
||||
|
||||
@@ -132,7 +132,7 @@
|
||||
// exportAllUserChats();
|
||||
|
||||
downloadDatabase(localStorage.token).catch((error) => {
|
||||
toast.error(error);
|
||||
toast.error(`${error}`);
|
||||
});
|
||||
}}
|
||||
>
|
||||
|
||||
@@ -119,7 +119,7 @@
|
||||
url: OpenAIUrl
|
||||
}
|
||||
}).catch(async (error) => {
|
||||
toast.error(error);
|
||||
toast.error(`${error}`);
|
||||
await setEmbeddingConfig();
|
||||
return null;
|
||||
});
|
||||
@@ -142,7 +142,7 @@
|
||||
const res = await updateRerankingConfig(localStorage.token, {
|
||||
reranking_model: rerankingModel
|
||||
}).catch(async (error) => {
|
||||
toast.error(error);
|
||||
toast.error(`${error}`);
|
||||
await setRerankingConfig();
|
||||
return null;
|
||||
});
|
||||
@@ -258,7 +258,7 @@
|
||||
bind:show={showResetUploadDirConfirm}
|
||||
on:confirm={async () => {
|
||||
const res = await deleteAllFiles(localStorage.token).catch((error) => {
|
||||
toast.error(error);
|
||||
toast.error(`${error}`);
|
||||
return null;
|
||||
});
|
||||
|
||||
@@ -272,7 +272,7 @@
|
||||
bind:show={showResetConfirm}
|
||||
on:confirm={() => {
|
||||
const res = resetVectorDB(localStorage.token).catch((error) => {
|
||||
toast.error(error);
|
||||
toast.error(`${error}`);
|
||||
return null;
|
||||
});
|
||||
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
<script lang="ts">
|
||||
import { toast } from 'svelte-sonner';
|
||||
import { models, user } from '$lib/stores';
|
||||
import { models, settings, user, config } from '$lib/stores';
|
||||
import { createEventDispatcher, onMount, getContext, tick } from 'svelte';
|
||||
|
||||
const dispatch = createEventDispatcher();
|
||||
@@ -16,49 +16,69 @@
|
||||
|
||||
const i18n = getContext('i18n');
|
||||
|
||||
let config = null;
|
||||
let evaluationConfig = null;
|
||||
let showAddModel = false;
|
||||
|
||||
const submitHandler = async () => {
|
||||
config = await updateConfig(localStorage.token, config).catch((err) => {
|
||||
evaluationConfig = await updateConfig(localStorage.token, evaluationConfig).catch((err) => {
|
||||
toast.error(err);
|
||||
return null;
|
||||
});
|
||||
|
||||
if (config) {
|
||||
if (evaluationConfig) {
|
||||
toast.success('Settings saved successfully');
|
||||
models.set(await getModels(localStorage.token));
|
||||
models.set(
|
||||
await getModels(
|
||||
localStorage.token,
|
||||
$config?.features?.enable_direct_connections && ($settings?.directConnections ?? null)
|
||||
)
|
||||
);
|
||||
}
|
||||
};
|
||||
|
||||
const addModelHandler = async (model) => {
|
||||
config.EVALUATION_ARENA_MODELS.push(model);
|
||||
config.EVALUATION_ARENA_MODELS = [...config.EVALUATION_ARENA_MODELS];
|
||||
evaluationConfig.EVALUATION_ARENA_MODELS.push(model);
|
||||
evaluationConfig.EVALUATION_ARENA_MODELS = [...evaluationConfig.EVALUATION_ARENA_MODELS];
|
||||
|
||||
await submitHandler();
|
||||
models.set(await getModels(localStorage.token));
|
||||
models.set(
|
||||
await getModels(
|
||||
localStorage.token,
|
||||
$config?.features?.enable_direct_connections && ($settings?.directConnections ?? null)
|
||||
)
|
||||
);
|
||||
};
|
||||
|
||||
const editModelHandler = async (model, modelIdx) => {
|
||||
config.EVALUATION_ARENA_MODELS[modelIdx] = model;
|
||||
config.EVALUATION_ARENA_MODELS = [...config.EVALUATION_ARENA_MODELS];
|
||||
evaluationConfig.EVALUATION_ARENA_MODELS[modelIdx] = model;
|
||||
evaluationConfig.EVALUATION_ARENA_MODELS = [...evaluationConfig.EVALUATION_ARENA_MODELS];
|
||||
|
||||
await submitHandler();
|
||||
models.set(await getModels(localStorage.token));
|
||||
models.set(
|
||||
await getModels(
|
||||
localStorage.token,
|
||||
$config?.features?.enable_direct_connections && ($settings?.directConnections ?? null)
|
||||
)
|
||||
);
|
||||
};
|
||||
|
||||
const deleteModelHandler = async (modelIdx) => {
|
||||
config.EVALUATION_ARENA_MODELS = config.EVALUATION_ARENA_MODELS.filter(
|
||||
evaluationConfig.EVALUATION_ARENA_MODELS = evaluationConfig.EVALUATION_ARENA_MODELS.filter(
|
||||
(m, mIdx) => mIdx !== modelIdx
|
||||
);
|
||||
|
||||
await submitHandler();
|
||||
models.set(await getModels(localStorage.token));
|
||||
models.set(
|
||||
await getModels(
|
||||
localStorage.token,
|
||||
$config?.features?.enable_direct_connections && ($settings?.directConnections ?? null)
|
||||
)
|
||||
);
|
||||
};
|
||||
|
||||
onMount(async () => {
|
||||
if ($user.role === 'admin') {
|
||||
config = await getConfig(localStorage.token).catch((err) => {
|
||||
evaluationConfig = await getConfig(localStorage.token).catch((err) => {
|
||||
toast.error(err);
|
||||
return null;
|
||||
});
|
||||
@@ -81,7 +101,7 @@
|
||||
}}
|
||||
>
|
||||
<div class="overflow-y-scroll scrollbar-hidden h-full">
|
||||
{#if config !== null}
|
||||
{#if evaluationConfig !== null}
|
||||
<div class="">
|
||||
<div class="text-sm font-medium mb-2">{$i18n.t('General Settings')}</div>
|
||||
|
||||
@@ -90,12 +110,12 @@
|
||||
<div class=" text-xs font-medium">{$i18n.t('Arena Models')}</div>
|
||||
|
||||
<Tooltip content={$i18n.t(`Message rating should be enabled to use this feature`)}>
|
||||
<Switch bind:state={config.ENABLE_EVALUATION_ARENA_MODELS} />
|
||||
<Switch bind:state={evaluationConfig.ENABLE_EVALUATION_ARENA_MODELS} />
|
||||
</Tooltip>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
{#if config.ENABLE_EVALUATION_ARENA_MODELS}
|
||||
{#if evaluationConfig.ENABLE_EVALUATION_ARENA_MODELS}
|
||||
<hr class=" border-gray-50 dark:border-gray-700/10 my-2" />
|
||||
|
||||
<div class="flex justify-between items-center mb-2">
|
||||
@@ -117,8 +137,8 @@
|
||||
</div>
|
||||
|
||||
<div class="flex flex-col gap-2">
|
||||
{#if (config?.EVALUATION_ARENA_MODELS ?? []).length > 0}
|
||||
{#each config.EVALUATION_ARENA_MODELS as model, index}
|
||||
{#if (evaluationConfig?.EVALUATION_ARENA_MODELS ?? []).length > 0}
|
||||
{#each evaluationConfig.EVALUATION_ARENA_MODELS as model, index}
|
||||
<Model
|
||||
{model}
|
||||
on:edit={(e) => {
|
||||
|
||||
@@ -28,6 +28,7 @@
|
||||
label: '',
|
||||
host: '',
|
||||
port: '',
|
||||
attribute_for_mail: 'mail',
|
||||
attribute_for_username: 'uid',
|
||||
app_dn: '',
|
||||
app_dn_password: '',
|
||||
@@ -41,7 +42,7 @@
|
||||
const updateLdapServerHandler = async () => {
|
||||
if (!ENABLE_LDAP) return;
|
||||
const res = await updateLdapServer(localStorage.token, LDAP_SERVER).catch((error) => {
|
||||
toast.error(error);
|
||||
toast.error(`${error}`);
|
||||
return null;
|
||||
});
|
||||
if (res) {
|
||||
@@ -143,7 +144,7 @@
|
||||
<div class="mt-2 text-xs text-gray-400 dark:text-gray-500">
|
||||
<!-- https://docs.openwebui.com/getting-started/advanced-topics/api-endpoints -->
|
||||
<a
|
||||
href="https://docs.openwebui.com/getting-started/advanced-topics/api-endpoints"
|
||||
href="https://docs.openwebui.com/getting-started/api-endpoints"
|
||||
target="_blank"
|
||||
class=" text-gray-300 font-medium underline"
|
||||
>
|
||||
@@ -342,6 +343,26 @@
|
||||
/>
|
||||
</div>
|
||||
</div>
|
||||
<div class="flex w-full gap-2">
|
||||
<div class="w-full">
|
||||
<div class=" self-center text-xs font-medium min-w-fit mb-1">
|
||||
{$i18n.t('Attribute for Mail')}
|
||||
</div>
|
||||
<Tooltip
|
||||
content={$i18n.t(
|
||||
'The LDAP attribute that maps to the mail that users use to sign in.'
|
||||
)}
|
||||
placement="top-start"
|
||||
>
|
||||
<input
|
||||
class="w-full bg-transparent outline-none py-0.5"
|
||||
required
|
||||
placeholder={$i18n.t('Example: mail')}
|
||||
bind:value={LDAP_SERVER.attribute_for_mail}
|
||||
/>
|
||||
</Tooltip>
|
||||
</div>
|
||||
</div>
|
||||
<div class="flex w-full gap-2">
|
||||
<div class="w-full">
|
||||
<div class=" self-center text-xs font-medium min-w-fit mb-1">
|
||||
|
||||
@@ -99,7 +99,7 @@
|
||||
|
||||
const getModels = async () => {
|
||||
models = await getImageGenerationModels(localStorage.token).catch((error) => {
|
||||
toast.error(error);
|
||||
toast.error(`${error}`);
|
||||
return null;
|
||||
});
|
||||
};
|
||||
@@ -107,11 +107,11 @@
|
||||
const updateConfigHandler = async () => {
|
||||
const res = await updateConfig(localStorage.token, config)
|
||||
.catch((error) => {
|
||||
toast.error(error);
|
||||
toast.error(`${error}`);
|
||||
return null;
|
||||
})
|
||||
.catch((error) => {
|
||||
toast.error(error);
|
||||
toast.error(`${error}`);
|
||||
return null;
|
||||
});
|
||||
|
||||
@@ -159,13 +159,13 @@
|
||||
}
|
||||
|
||||
await updateConfig(localStorage.token, config).catch((error) => {
|
||||
toast.error(error);
|
||||
toast.error(`${error}`);
|
||||
loading = false;
|
||||
return null;
|
||||
});
|
||||
|
||||
await updateImageGenerationConfig(localStorage.token, imageGenerationConfig).catch((error) => {
|
||||
toast.error(error);
|
||||
toast.error(`${error}`);
|
||||
loading = false;
|
||||
return null;
|
||||
});
|
||||
@@ -178,7 +178,7 @@
|
||||
onMount(async () => {
|
||||
if ($user.role === 'admin') {
|
||||
const res = await getConfig(localStorage.token).catch((error) => {
|
||||
toast.error(error);
|
||||
toast.error(`${error}`);
|
||||
return null;
|
||||
});
|
||||
|
||||
@@ -211,7 +211,7 @@
|
||||
});
|
||||
|
||||
const imageConfigRes = await getImageGenerationConfig(localStorage.token).catch((error) => {
|
||||
toast.error(error);
|
||||
toast.error(`${error}`);
|
||||
return null;
|
||||
});
|
||||
|
||||
@@ -234,7 +234,7 @@
|
||||
<div class=" mb-1 text-sm font-medium">{$i18n.t('Image Settings')}</div>
|
||||
|
||||
<div>
|
||||
<div class=" py-0.5 flex w-full justify-between">
|
||||
<div class=" py-1 flex w-full justify-between">
|
||||
<div class=" self-center text-xs font-medium">
|
||||
{$i18n.t('Image Generation (Experimental)')}
|
||||
</div>
|
||||
@@ -271,11 +271,20 @@
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div class=" py-0.5 flex w-full justify-between">
|
||||
{#if config.enabled}
|
||||
<div class=" py-1 flex w-full justify-between">
|
||||
<div class=" self-center text-xs font-medium">{$i18n.t('Image Prompt Generation')}</div>
|
||||
<div class="px-1">
|
||||
<Switch bind:state={config.prompt_generation} />
|
||||
</div>
|
||||
</div>
|
||||
{/if}
|
||||
|
||||
<div class=" py-1 flex w-full justify-between">
|
||||
<div class=" self-center text-xs font-medium">{$i18n.t('Image Generation Engine')}</div>
|
||||
<div class="flex items-center relative">
|
||||
<select
|
||||
class="w-fit pr-8 rounded px-2 p-1 text-xs bg-transparent outline-none text-right"
|
||||
class=" dark:bg-gray-900 w-fit pr-8 cursor-pointer rounded px-2 p-1 text-xs bg-transparent outline-none text-right"
|
||||
bind:value={config.engine}
|
||||
placeholder={$i18n.t('Select Engine')}
|
||||
on:change={async () => {
|
||||
@@ -309,7 +318,7 @@
|
||||
on:click={async () => {
|
||||
await updateConfigHandler();
|
||||
const res = await verifyConfigUrl(localStorage.token).catch((error) => {
|
||||
toast.error(error);
|
||||
toast.error(`${error}`);
|
||||
return null;
|
||||
});
|
||||
|
||||
@@ -445,7 +454,7 @@
|
||||
on:click={async () => {
|
||||
await updateConfigHandler();
|
||||
const res = await verifyConfigUrl(localStorage.token).catch((error) => {
|
||||
toast.error(error);
|
||||
toast.error(`${error}`);
|
||||
return null;
|
||||
});
|
||||
|
||||
|
||||
@@ -24,13 +24,15 @@
|
||||
TASK_MODEL: '',
|
||||
TASK_MODEL_EXTERNAL: '',
|
||||
TITLE_GENERATION_PROMPT_TEMPLATE: '',
|
||||
IMAGE_PROMPT_GENERATION_PROMPT_TEMPLATE: '',
|
||||
ENABLE_AUTOCOMPLETE_GENERATION: true,
|
||||
AUTOCOMPLETE_GENERATION_INPUT_MAX_LENGTH: -1,
|
||||
TAGS_GENERATION_PROMPT_TEMPLATE: '',
|
||||
ENABLE_TAGS_GENERATION: true,
|
||||
ENABLE_SEARCH_QUERY_GENERATION: true,
|
||||
ENABLE_RETRIEVAL_QUERY_GENERATION: true,
|
||||
QUERY_GENERATION_PROMPT_TEMPLATE: ''
|
||||
QUERY_GENERATION_PROMPT_TEMPLATE: '',
|
||||
TOOLS_FUNCTION_CALLING_PROMPT_TEMPLATE: ''
|
||||
};
|
||||
|
||||
let promptSuggestions = [];
|
||||
@@ -140,6 +142,22 @@
|
||||
</Tooltip>
|
||||
</div>
|
||||
|
||||
<div class="mt-3">
|
||||
<div class=" mb-2.5 text-xs font-medium">{$i18n.t('Image Prompt Generation Prompt')}</div>
|
||||
|
||||
<Tooltip
|
||||
content={$i18n.t('Leave empty to use the default prompt, or enter a custom prompt')}
|
||||
placement="top-start"
|
||||
>
|
||||
<Textarea
|
||||
bind:value={taskConfig.IMAGE_PROMPT_GENERATION_PROMPT_TEMPLATE}
|
||||
placeholder={$i18n.t(
|
||||
'Leave empty to use the default prompt, or enter a custom prompt'
|
||||
)}
|
||||
/>
|
||||
</Tooltip>
|
||||
</div>
|
||||
|
||||
<hr class=" border-gray-50 dark:border-gray-850 my-3" />
|
||||
|
||||
<div class="my-3 flex w-full items-center justify-between">
|
||||
@@ -234,6 +252,20 @@
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div class="mt-3">
|
||||
<div class=" mb-2.5 text-xs font-medium">{$i18n.t('Tools Function Calling Prompt')}</div>
|
||||
|
||||
<Tooltip
|
||||
content={$i18n.t('Leave empty to use the default prompt, or enter a custom prompt')}
|
||||
placement="top-start"
|
||||
>
|
||||
<Textarea
|
||||
bind:value={taskConfig.TOOLS_FUNCTION_CALLING_PROMPT_TEMPLATE}
|
||||
placeholder={$i18n.t('Leave empty to use the default prompt, or enter a custom prompt')}
|
||||
/>
|
||||
</Tooltip>
|
||||
</div>
|
||||
|
||||
<hr class=" border-gray-50 dark:border-gray-850 my-3" />
|
||||
|
||||
<div class=" space-y-3 {banners.length > 0 ? ' mb-3' : ''}">
|
||||
|
||||
@@ -26,6 +26,9 @@
|
||||
import ConfirmDialog from '$lib/components/common/ConfirmDialog.svelte';
|
||||
import Cog6 from '$lib/components/icons/Cog6.svelte';
|
||||
import ConfigureModelsModal from './Models/ConfigureModelsModal.svelte';
|
||||
import Wrench from '$lib/components/icons/Wrench.svelte';
|
||||
import ArrowDownTray from '$lib/components/icons/ArrowDownTray.svelte';
|
||||
import ManageModelsModal from './Models/ManageModelsModal.svelte';
|
||||
|
||||
let importFiles;
|
||||
let modelsImportInputElement: HTMLInputElement;
|
||||
@@ -39,6 +42,7 @@
|
||||
let selectedModelId = null;
|
||||
|
||||
let showConfigModal = false;
|
||||
let showManageModal = false;
|
||||
|
||||
$: if (models) {
|
||||
filteredModels = models
|
||||
@@ -64,7 +68,7 @@
|
||||
|
||||
const init = async () => {
|
||||
workspaceModels = await getBaseModels(localStorage.token);
|
||||
baseModels = await getModels(localStorage.token, true);
|
||||
baseModels = await getModels(localStorage.token, null, true);
|
||||
|
||||
models = baseModels.map((m) => {
|
||||
const workspaceModel = workspaceModels.find((wm) => wm.id === m.id);
|
||||
@@ -107,7 +111,12 @@
|
||||
}
|
||||
}
|
||||
|
||||
_models.set(await getModels(localStorage.token));
|
||||
_models.set(
|
||||
await getModels(
|
||||
localStorage.token,
|
||||
$config?.features?.enable_direct_connections && ($settings?.directConnections ?? null)
|
||||
)
|
||||
);
|
||||
await init();
|
||||
};
|
||||
|
||||
@@ -129,7 +138,12 @@
|
||||
}
|
||||
|
||||
// await init();
|
||||
_models.set(await getModels(localStorage.token));
|
||||
_models.set(
|
||||
await getModels(
|
||||
localStorage.token,
|
||||
$config?.features?.enable_direct_connections && ($settings?.directConnections ?? null)
|
||||
)
|
||||
);
|
||||
};
|
||||
|
||||
onMount(async () => {
|
||||
@@ -138,6 +152,7 @@
|
||||
</script>
|
||||
|
||||
<ConfigureModelsModal bind:show={showConfigModal} initHandler={init} />
|
||||
<ManageModelsModal bind:show={showManageModal} />
|
||||
|
||||
{#if models !== null}
|
||||
{#if selectedModelId === null}
|
||||
@@ -151,10 +166,22 @@
|
||||
>
|
||||
</div>
|
||||
|
||||
<div>
|
||||
<Tooltip content={$i18n.t('Configure')}>
|
||||
<div class="flex items-center gap-1.5">
|
||||
<Tooltip content={$i18n.t('Manage Models')}>
|
||||
<button
|
||||
class=" px-2.5 py-1 rounded-full flex gap-1 items-center"
|
||||
class=" p-1 rounded-full flex gap-1 items-center"
|
||||
type="button"
|
||||
on:click={() => {
|
||||
showManageModal = true;
|
||||
}}
|
||||
>
|
||||
<ArrowDownTray />
|
||||
</button>
|
||||
</Tooltip>
|
||||
|
||||
<Tooltip content={$i18n.t('Settings')}>
|
||||
<button
|
||||
class=" p-1 rounded-full flex gap-1 items-center"
|
||||
type="button"
|
||||
on:click={() => {
|
||||
showConfigModal = true;
|
||||
@@ -313,7 +340,13 @@
|
||||
}
|
||||
}
|
||||
|
||||
await _models.set(await getModels(localStorage.token));
|
||||
await _models.set(
|
||||
await getModels(
|
||||
localStorage.token,
|
||||
$config?.features?.enable_direct_connections &&
|
||||
($settings?.directConnections ?? null)
|
||||
)
|
||||
);
|
||||
init();
|
||||
};
|
||||
|
||||
|
||||
@@ -33,6 +33,24 @@
|
||||
init();
|
||||
}
|
||||
|
||||
$: if (selectedModelId) {
|
||||
onModelSelect();
|
||||
}
|
||||
|
||||
const onModelSelect = () => {
|
||||
if (selectedModelId === '') {
|
||||
return;
|
||||
}
|
||||
|
||||
if (defaultModelIds.includes(selectedModelId)) {
|
||||
selectedModelId = '';
|
||||
return;
|
||||
}
|
||||
|
||||
defaultModelIds = [...defaultModelIds, selectedModelId];
|
||||
selectedModelId = '';
|
||||
};
|
||||
|
||||
const init = async () => {
|
||||
config = await getModelsConfig(localStorage.token);
|
||||
|
||||
@@ -95,7 +113,7 @@
|
||||
<div>
|
||||
<div class=" flex justify-between dark:text-gray-100 px-5 pt-4 pb-2">
|
||||
<div class=" text-lg font-medium self-center font-primary">
|
||||
{$i18n.t('Configure Models')}
|
||||
{$i18n.t('Settings')}
|
||||
</div>
|
||||
<button
|
||||
class="self-center"
|
||||
@@ -143,6 +161,24 @@
|
||||
<div class="text-xs text-gray-500">{$i18n.t('Default Models')}</div>
|
||||
</div>
|
||||
|
||||
<div class="flex items-center -mr-1">
|
||||
<select
|
||||
class="w-full py-1 text-sm rounded-lg bg-transparent {selectedModelId
|
||||
? ''
|
||||
: 'text-gray-500'} placeholder:text-gray-300 dark:placeholder:text-gray-700 outline-none"
|
||||
bind:value={selectedModelId}
|
||||
>
|
||||
<option value="">{$i18n.t('Select a model')}</option>
|
||||
{#each $models as model}
|
||||
<option value={model.id} class="bg-gray-50 dark:bg-gray-700"
|
||||
>{model.name}</option
|
||||
>
|
||||
{/each}
|
||||
</select>
|
||||
</div>
|
||||
|
||||
<!-- <hr class=" border-gray-100 dark:border-gray-700/10 my-2.5 w-full" /> -->
|
||||
|
||||
{#if defaultModelIds.length > 0}
|
||||
<div class="flex flex-col">
|
||||
{#each defaultModelIds as modelId, modelIdx}
|
||||
@@ -170,44 +206,6 @@
|
||||
{$i18n.t('No models selected')}
|
||||
</div>
|
||||
{/if}
|
||||
|
||||
<hr class=" border-gray-100 dark:border-gray-700/10 my-2.5 w-full" />
|
||||
|
||||
<div class="flex items-center">
|
||||
<select
|
||||
class="w-full py-1 text-sm rounded-lg bg-transparent {selectedModelId
|
||||
? ''
|
||||
: 'text-gray-500'} placeholder:text-gray-300 dark:placeholder:text-gray-700 outline-none"
|
||||
bind:value={selectedModelId}
|
||||
>
|
||||
<option value="">{$i18n.t('Select a model')}</option>
|
||||
{#each $models as model}
|
||||
<option value={model.id} class="bg-gray-50 dark:bg-gray-700"
|
||||
>{model.name}</option
|
||||
>
|
||||
{/each}
|
||||
</select>
|
||||
|
||||
<div>
|
||||
<button
|
||||
type="button"
|
||||
on:click={() => {
|
||||
if (selectedModelId === '') {
|
||||
return;
|
||||
}
|
||||
|
||||
if (defaultModelIds.includes(selectedModelId)) {
|
||||
return;
|
||||
}
|
||||
|
||||
defaultModelIds = [...defaultModelIds, selectedModelId];
|
||||
selectedModelId = '';
|
||||
}}
|
||||
>
|
||||
<Plus className="size-3.5" strokeWidth="2" />
|
||||
</button>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
|
||||
@@ -0,0 +1,26 @@
|
||||
<script>
|
||||
import { getContext, onMount } from 'svelte';
|
||||
const i18n = getContext('i18n');
|
||||
|
||||
import ManageOllama from './ManageOllama.svelte';
|
||||
|
||||
export let ollamaConfig = null;
|
||||
|
||||
let selectedUrlIdx = 0;
|
||||
</script>
|
||||
|
||||
{#if ollamaConfig}
|
||||
<div class="flex-1 mb-2.5 pr-1.5 rounded-lg bg-gray-50 dark:text-gray-300 dark:bg-gray-850">
|
||||
<select
|
||||
class="w-full py-2 px-4 text-sm outline-none bg-transparent"
|
||||
bind:value={selectedUrlIdx}
|
||||
placeholder={$i18n.t('Select an Ollama instance')}
|
||||
>
|
||||
{#each ollamaConfig.OLLAMA_BASE_URLS as url, idx}
|
||||
<option value={idx}>{url}</option>
|
||||
{/each}
|
||||
</select>
|
||||
</div>
|
||||
|
||||
<ManageOllama urlIdx={selectedUrlIdx} />
|
||||
{/if}
|
||||
File diff suppressed because it is too large
Load Diff
@@ -0,0 +1,110 @@
|
||||
<script>
|
||||
import { toast } from 'svelte-sonner';
|
||||
|
||||
import { createEventDispatcher, getContext, onMount } from 'svelte';
|
||||
const i18n = getContext('i18n');
|
||||
const dispatch = createEventDispatcher();
|
||||
|
||||
import { user } from '$lib/stores';
|
||||
|
||||
import Modal from '$lib/components/common/Modal.svelte';
|
||||
import ManageOllama from './Manage/ManageOllama.svelte';
|
||||
import { getOllamaConfig } from '$lib/apis/ollama';
|
||||
import Spinner from '$lib/components/common/Spinner.svelte';
|
||||
import ManageMultipleOllama from './Manage/ManageMultipleOllama.svelte';
|
||||
|
||||
export let show = false;
|
||||
|
||||
let selected = null;
|
||||
let ollamaConfig = null;
|
||||
|
||||
onMount(async () => {
|
||||
if ($user.role === 'admin') {
|
||||
await Promise.all([
|
||||
(async () => {
|
||||
ollamaConfig = await getOllamaConfig(localStorage.token);
|
||||
})()
|
||||
]);
|
||||
|
||||
if (ollamaConfig) {
|
||||
selected = 'ollama';
|
||||
return;
|
||||
}
|
||||
|
||||
selected = '';
|
||||
}
|
||||
});
|
||||
</script>
|
||||
|
||||
<Modal size="sm" bind:show>
|
||||
<div>
|
||||
<div class=" flex justify-between dark:text-gray-100 px-5 pt-4">
|
||||
<div class=" text-lg font-medium self-center font-primary">
|
||||
{$i18n.t('Manage Models')}
|
||||
</div>
|
||||
<button
|
||||
class="self-center"
|
||||
on:click={() => {
|
||||
show = false;
|
||||
}}
|
||||
>
|
||||
<svg
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
viewBox="0 0 20 20"
|
||||
fill="currentColor"
|
||||
class="w-5 h-5"
|
||||
>
|
||||
<path
|
||||
d="M6.28 5.22a.75.75 0 00-1.06 1.06L8.94 10l-3.72 3.72a.75.75 0 101.06 1.06L10 11.06l3.72 3.72a.75.75 0 101.06-1.06L11.06 10l3.72-3.72a.75.75 0 00-1.06-1.06L10 8.94 6.28 5.22z"
|
||||
/>
|
||||
</svg>
|
||||
</button>
|
||||
</div>
|
||||
|
||||
<div class="flex flex-col md:flex-row w-full px-3 pb-4 md:space-x-4 dark:text-gray-200">
|
||||
<div class=" flex flex-col w-full sm:flex-row sm:justify-center sm:space-x-6">
|
||||
{#if selected === ''}
|
||||
<div class=" py-5 text-gray-400 text-xs">
|
||||
<div>
|
||||
{$i18n.t('No inference engine with management support found')}
|
||||
</div>
|
||||
</div>
|
||||
{:else if selected !== null}
|
||||
<div class=" flex w-full flex-col">
|
||||
<div
|
||||
class="flex gap-1 scrollbar-none overflow-x-auto w-fit text-center text-sm font-medium rounded-full bg-transparent dark:text-gray-200"
|
||||
>
|
||||
<button
|
||||
class="min-w-fit rounded-full p-1.5 {selected === 'ollama'
|
||||
? ''
|
||||
: 'text-gray-300 dark:text-gray-600 hover:text-gray-700 dark:hover:text-white'} transition"
|
||||
on:click={() => {
|
||||
selected = 'ollama';
|
||||
}}>{$i18n.t('Ollama')}</button
|
||||
>
|
||||
|
||||
<!-- <button
|
||||
class="min-w-fit rounded-full p-1.5 {selected === 'llamacpp'
|
||||
? ''
|
||||
: 'text-gray-300 dark:text-gray-600 hover:text-gray-700 dark:hover:text-white'} transition"
|
||||
on:click={() => {
|
||||
selected = 'llamacpp';
|
||||
}}>{$i18n.t('Llama.cpp')}</button
|
||||
> -->
|
||||
</div>
|
||||
|
||||
<div class=" px-1.5 py-1">
|
||||
{#if selected === 'ollama'}
|
||||
<ManageMultipleOllama {ollamaConfig} />
|
||||
{/if}
|
||||
</div>
|
||||
</div>
|
||||
{:else}
|
||||
<div class=" py-5">
|
||||
<Spinner />
|
||||
</div>
|
||||
{/if}
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</Modal>
|
||||
@@ -2,7 +2,7 @@
|
||||
import { v4 as uuidv4 } from 'uuid';
|
||||
|
||||
import { toast } from 'svelte-sonner';
|
||||
import { models } from '$lib/stores';
|
||||
import { config, models, settings } from '$lib/stores';
|
||||
import { getContext, onMount, tick } from 'svelte';
|
||||
import type { Writable } from 'svelte/store';
|
||||
import type { i18n as i18nType } from 'i18next';
|
||||
@@ -57,13 +57,18 @@
|
||||
valves,
|
||||
selectedPipelinesUrlIdx
|
||||
).catch((error) => {
|
||||
toast.error(error);
|
||||
toast.error(`${error}`);
|
||||
});
|
||||
|
||||
if (res) {
|
||||
toast.success($i18n.t('Valves updated successfully'));
|
||||
setPipelines();
|
||||
models.set(await getModels(localStorage.token));
|
||||
models.set(
|
||||
await getModels(
|
||||
localStorage.token,
|
||||
$config?.features?.enable_direct_connections && ($settings?.directConnections ?? null)
|
||||
)
|
||||
);
|
||||
saveHandler();
|
||||
}
|
||||
} else {
|
||||
@@ -118,14 +123,19 @@
|
||||
pipelineDownloadUrl,
|
||||
selectedPipelinesUrlIdx
|
||||
).catch((error) => {
|
||||
toast.error(error);
|
||||
toast.error(`${error}`);
|
||||
return null;
|
||||
});
|
||||
|
||||
if (res) {
|
||||
toast.success($i18n.t('Pipeline downloaded successfully'));
|
||||
setPipelines();
|
||||
models.set(await getModels(localStorage.token));
|
||||
models.set(
|
||||
await getModels(
|
||||
localStorage.token,
|
||||
$config?.features?.enable_direct_connections && ($settings?.directConnections ?? null)
|
||||
)
|
||||
);
|
||||
}
|
||||
|
||||
downloading = false;
|
||||
@@ -150,14 +160,19 @@
|
||||
if (res) {
|
||||
toast.success($i18n.t('Pipeline downloaded successfully'));
|
||||
setPipelines();
|
||||
models.set(await getModels(localStorage.token));
|
||||
models.set(
|
||||
await getModels(
|
||||
localStorage.token,
|
||||
$config?.features?.enable_direct_connections && ($settings?.directConnections ?? null)
|
||||
)
|
||||
);
|
||||
}
|
||||
} else {
|
||||
toast.error($i18n.t('No file selected'));
|
||||
}
|
||||
|
||||
pipelineFiles = null;
|
||||
const pipelineUploadInputElement = document.getElementById('pipeline-upload-input');
|
||||
const pipelineUploadInputElement = document.getElementById('pipelines-upload-input');
|
||||
|
||||
if (pipelineUploadInputElement) {
|
||||
pipelineUploadInputElement.value = null;
|
||||
@@ -172,14 +187,19 @@
|
||||
pipelines[selectedPipelineIdx].id,
|
||||
selectedPipelinesUrlIdx
|
||||
).catch((error) => {
|
||||
toast.error(error);
|
||||
toast.error(`${error}`);
|
||||
return null;
|
||||
});
|
||||
|
||||
if (res) {
|
||||
toast.success($i18n.t('Pipeline deleted successfully'));
|
||||
setPipelines();
|
||||
models.set(await getModels(localStorage.token));
|
||||
models.set(
|
||||
await getModels(
|
||||
localStorage.token,
|
||||
$config?.features?.enable_direct_connections && ($settings?.directConnections ?? null)
|
||||
)
|
||||
);
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user