Commit ae376ec8 authored by Jun Siang Cheah's avatar Jun Siang Cheah
Browse files

Merge remote-tracking branch 'upstream/dev' into feat/oauth

parents af4f8aa5 1bb7fc7c
......@@ -11,7 +11,7 @@
- [ ] **Dependencies:** Are there any new dependencies? Have you updated the dependency versions in the documentation?
- [ ] **Testing:** Have you written and run sufficient tests for validating the changes?
- [ ] **Code review:** Have you performed a self-review of your code, addressing any coding standard issues and ensuring adherence to the project's coding standards?
- [ ] **Label:** To cleary categorize this pull request, assign a relevant label to the pull request title, using one of the following:
- [ ] **Prefix:** To cleary categorize this pull request, prefix the pull request title, using one of the following:
- **BREAKING CHANGE**: Significant changes that may affect compatibility
- **build**: Changes that affect the build system or external dependencies
- **ci**: Changes to our continuous integration processes or workflows
......
......@@ -70,8 +70,10 @@ jobs:
images: ${{ env.FULL_IMAGE_NAME }}
tags: |
type=ref,event=branch
${{ github.ref_type == 'tag' && 'type=raw,value=main' || '' }}
flavor: |
prefix=cache-${{ matrix.platform }}-
latest=false
- name: Build Docker image (latest)
uses: docker/build-push-action@v5
......@@ -158,8 +160,10 @@ jobs:
images: ${{ env.FULL_IMAGE_NAME }}
tags: |
type=ref,event=branch
${{ github.ref_type == 'tag' && 'type=raw,value=main' || '' }}
flavor: |
prefix=cache-cuda-${{ matrix.platform }}-
latest=false
- name: Build Docker image (cuda)
uses: docker/build-push-action@v5
......@@ -247,8 +251,10 @@ jobs:
images: ${{ env.FULL_IMAGE_NAME }}
tags: |
type=ref,event=branch
${{ github.ref_type == 'tag' && 'type=raw,value=main' || '' }}
flavor: |
prefix=cache-ollama-${{ matrix.platform }}-
latest=false
- name: Build Docker image (ollama)
uses: docker/build-push-action@v5
......
......@@ -4,7 +4,6 @@ on:
push:
branches:
- main # or whatever branch you want to use
- dev
jobs:
release:
......
......@@ -5,6 +5,115 @@ 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).
## [0.2.5] - 2024-06-05
### Added
- **👥 Active Users Indicator**: Now you can see how many people are currently active and what they are running. This helps you gauge when performance might slow down due to a high number of users.
- **🗂️ Create Ollama Modelfile**: The option to create a modelfile for Ollama has been reintroduced in the Settings > Models section, making it easier to manage your models.
- **⚙️ Default Model Setting**: Added an option to set the default model from Settings > Interface. This feature is now easily accessible, especially convenient for mobile users as it was previously hidden.
- **🌐 Enhanced Translations**: We've improved the Chinese translations and added support for Turkmen and Norwegian languages to make the interface more accessible globally.
### Fixed
- **📱 Mobile View Improvements**: The UI now uses dvh (dynamic viewport height) instead of vh (viewport height), providing a better and more responsive experience for mobile users.
## [0.2.4] - 2024-06-03
### Added
- **👤 Improved Account Pending Page**: The account pending page now displays admin details by default to avoid confusion. You can disable this feature in the admin settings if needed.
- **🌐 HTTP Proxy Support**: We have enabled the use of the 'http_proxy' environment variable in OpenAI and Ollama API calls, making it easier to configure network settings.
- **❓ Quick Access to Documentation**: You can now easily access Open WebUI documents via a question mark button located at the bottom right corner of the screen (available on larger screens like PCs).
- **🌍 Enhanced Translation**: Improvements have been made to translations.
### Fixed
- **🔍 SearxNG Web Search**: Fixed the issue where the SearxNG web search functionality was not working properly.
## [0.2.3] - 2024-06-03
### Added
- **📁 Export Chat as JSON**: You can now export individual chats as JSON files from the navbar menu by navigating to 'Download > Export Chat'. This makes sharing specific conversations easier.
- **✏️ Edit Titles with Double Click**: Double-click on titles to rename them quickly and efficiently.
- **🧩 Batch Multiple Embeddings**: Introduced 'RAG_EMBEDDING_OPENAI_BATCH_SIZE' to process multiple embeddings in a batch, enhancing performance for large datasets.
- **🌍 Improved Translations**: Enhanced the translation quality across various languages for a better user experience.
### Fixed
- **🛠️ Modelfile Migration Script**: Fixed an issue where the modelfile migration script would fail if an invalid modelfile was encountered.
- **💬 Zhuyin Input Method on Mac**: Resolved an issue where using the Zhuyin input method in the Web UI on a Mac caused text to send immediately upon pressing the enter key, leading to incorrect input.
- **🔊 Local TTS Voice Selection**: Fixed the issue where the selected local Text-to-Speech (TTS) voice was not being displayed in settings.
## [0.2.2] - 2024-06-02
### Added
- **🌊 Mermaid Rendering Support**: We've included support for Mermaid rendering. This allows you to create beautiful diagrams and flowcharts directly within Open WebUI.
- **🔄 New Environment Variable 'RESET_CONFIG_ON_START'**: Introducing a new environment variable: 'RESET_CONFIG_ON_START'. Set this variable to reset your configuration settings upon starting the application, making it easier to revert to default settings.
### Fixed
- **🔧 Pipelines Filter Issue**: We've addressed an issue with the pipelines where filters were not functioning as expected.
## [0.2.1] - 2024-06-02
### Added
- **🖱️ Single Model Export Button**: Easily export models with just one click using the new single model export button.
- **🖥️ Advanced Parameters Support**: Added support for 'num_thread', 'use_mmap', and 'use_mlock' parameters for Ollama.
- **🌐 Improved Vietnamese Translation**: Enhanced Vietnamese language support for a better user experience for our Vietnamese-speaking community.
### Fixed
- **🔧 OpenAI URL API Save Issue**: Corrected a problem preventing the saving of OpenAI URL API settings.
- **🚫 Display Issue with Disabled Ollama API**: Fixed the display bug causing models to appear in settings when the Ollama API was disabled.
### Changed
- **💡 Versioning Update**: As a reminder from our previous update, version 0.2.y will focus primarily on bug fixes, while major updates will be designated as 0.x from now on for better version tracking.
## [0.2.0] - 2024-06-01
### Added
- **🔧 Pipelines Support**: Open WebUI now includes a plugin framework for enhanced customization and functionality (https://github.com/open-webui/pipelines). Easily add custom logic and integrate Python libraries, from AI agents to home automation APIs.
- **🔗 Function Calling via Pipelines**: Integrate function calling seamlessly through Pipelines.
- **⚖️ User Rate Limiting via Pipelines**: Implement user-specific rate limits to manage API usage efficiently.
- **📊 Usage Monitoring with Langfuse**: Track and analyze usage statistics with Langfuse integration through Pipelines.
- **🕒 Conversation Turn Limits**: Set limits on conversation turns to manage interactions better through Pipelines.
- **🛡️ Toxic Message Filtering**: Automatically filter out toxic messages to maintain a safe environment using Pipelines.
- **🔍 Web Search Support**: Introducing built-in web search capabilities via RAG API, allowing users to search using SearXNG, Google Programmatic Search Engine, Brave Search, serpstack, and serper. Activate it effortlessly by adding necessary variables from Document settings > Web Params.
- **🗂️ Models Workspace**: Create and manage model presets for both Ollama/OpenAI API. Note: The old Modelfiles workspace is deprecated.
- **🛠️ Model Builder Feature**: Build and edit all models with persistent builder mode.
- **🏷️ Model Tagging Support**: Organize models with tagging features in the models workspace.
- **📋 Model Ordering Support**: Effortlessly organize models by dragging and dropping them into the desired positions within the models workspace.
- **📈 OpenAI Generation Stats**: Access detailed generation statistics for OpenAI models.
- **📅 System Prompt Variables**: New variables added: '{{CURRENT_DATE}}' and '{{USER_NAME}}' for dynamic prompts.
- **📢 Global Banner Support**: Manage global banners from admin settings > banners.
- **🗃️ Enhanced Archived Chats Modal**: Search and export archived chats easily.
- **📂 Archive All Button**: Quickly archive all chats from settings > chats.
- **🌐 Improved Translations**: Added and improved translations for French, Croatian, Cebuano, and Vietnamese.
### Fixed
- **🔍 Archived Chats Visibility**: Resolved issue with archived chats not showing in the admin panel.
- **💬 Message Styling**: Fixed styling issues affecting message appearance.
- **🔗 Shared Chat Responses**: Corrected the issue where shared chat response messages were not readonly.
- **🖥️ UI Enhancement**: Fixed the scrollbar overlapping issue with the message box in the user interface.
### Changed
- **💾 User Settings Storage**: User settings are now saved on the backend, ensuring consistency across all devices.
- **📡 Unified API Requests**: The API request for getting models is now unified to '/api/models' for easier usage.
- **🔄 Versioning Update**: Our versioning will now follow the format 0.x for major updates and 0.x.y for patches.
- **📦 Export All Chats (All Users)**: Moved this functionality to the Admin Panel settings for better organization and accessibility.
### Removed
- **🚫 Bundled LiteLLM Support Deprecated**: Migrate your LiteLLM config.yaml to a self-hosted LiteLLM instance. LiteLLM can still be added via OpenAI Connections. Download the LiteLLM config.yaml from admin settings > database > export LiteLLM config.yaml.
## [0.1.125] - 2024-05-19
### Added
......
# Contributor Covenant Code of Conduct
## Our Pledge
We as members, contributors, and leaders pledge to make participation in our
community a harassment-free experience for everyone, regardless of age, body
size, visible or invisible disability, ethnicity, sex characteristics, gender
identity and expression, level of experience, education, socio-economic status,
nationality, personal appearance, race, religion, or sexual identity
and orientation.
We pledge to act and interact in ways that contribute to an open, welcoming, diverse, inclusive, and healthy community.
## Our Standards
Examples of behavior that contribute to a positive environment for our community include:
- Demonstrating empathy and kindness toward other people
- Being respectful of differing opinions, viewpoints, and experiences
- Giving and gracefully accepting constructive feedback
- Accepting responsibility and apologizing to those affected by our mistakes, and learning from the experience
- Focusing on what is best not just for us as individuals, but for the overall community
Examples of unacceptable behavior include:
- The use of sexualized language or imagery, and sexual attention or advances of any kind
- Trolling, insulting or derogatory comments, and personal or political attacks
- Public or private harassment
- Publishing others' private information, such as a physical or email address, without their explicit permission
- **Spamming of any kind**
- Aggressive sales tactics targeting our community members are strictly prohibited. You can mention your product if it's relevant to the discussion, but under no circumstances should you push it forcefully
- Other conduct which could reasonably be considered inappropriate in a professional setting
## Enforcement Responsibilities
Community leaders are responsible for clarifying and enforcing our standards of acceptable behavior and will take appropriate and fair corrective action in response to any behavior that they deem inappropriate, threatening, offensive, or harmful.
## Scope
This Code of Conduct applies within all community spaces and also applies when an individual is officially representing the community in public spaces. Examples of representing our community include using an official e-mail address, posting via an official social media account, or acting as an appointed representative at an online or offline event.
## Enforcement
Instances of abusive, harassing, spamming, or otherwise unacceptable behavior may be reported to the community leaders responsible for enforcement at hello@openwebui.com. All complaints will be reviewed and investigated promptly and fairly.
All community leaders are obligated to respect the privacy and security of the reporter of any incident.
## Enforcement Guidelines
Community leaders will follow these Community Impact Guidelines in determining the consequences for any action they deem in violation of this Code of Conduct:
### 1. Temporary Ban
**Community Impact**: Any violation of community standards, including but not limited to inappropriate language, unprofessional behavior, harassment, or spamming.
**Consequence**: A temporary ban from any sort of interaction or public communication with the community for a specified period of time. No public or private interaction with the people involved, including unsolicited interaction with those enforcing the Code of Conduct, is allowed during this period. Violating these terms may lead to a permanent ban.
### 2. Permanent Ban
**Community Impact**: Repeated or severe violations of community standards, including sustained inappropriate behavior, harassment of an individual, or aggression toward or disparagement of classes of individuals.
**Consequence**: A permanent ban from any sort of public interaction within the community.
## Attribution
This Code of Conduct is adapted from the [Contributor Covenant][homepage],
version 2.0, available at
https://www.contributor-covenant.org/version/2/0/code_of_conduct.html.
Community Impact Guidelines were inspired by [Mozilla's code of conduct
enforcement ladder](https://github.com/mozilla/diversity).
[homepage]: https://www.contributor-covenant.org
For answers to common questions about this code of conduct, see the FAQ at
https://www.contributor-covenant.org/faq. Translations are available at
https://www.contributor-covenant.org/translations.
......@@ -38,7 +38,6 @@ ARG USE_OLLAMA
ARG USE_CUDA_VER
ARG USE_EMBEDDING_MODEL
ARG USE_RERANKING_MODEL
ARG BUILD_HASH
ARG UID
ARG GID
......@@ -154,6 +153,7 @@ HEALTHCHECK CMD curl --silent --fail http://localhost:8080/health | jq -e '.stat
USER $UID:$GID
ARG BUILD_HASH
ENV WEBUI_BUILD_VERSION=${BUILD_HASH}
CMD [ "bash", "start.sh"]
......@@ -11,97 +11,43 @@
[![Discord](https://img.shields.io/badge/Discord-Open_WebUI-blue?logo=discord&logoColor=white)](https://discord.gg/5rJgQTnV4s)
[![](https://img.shields.io/static/v1?label=Sponsor&message=%E2%9D%A4&logo=GitHub&color=%23fe8e86)](https://github.com/sponsors/tjbck)
Open WebUI is an extensible, feature-rich, and user-friendly self-hosted WebUI designed to operate entirely offline. It supports various LLM runners, including Ollama and OpenAI-compatible APIs. For more information, be sure to check out our [Open WebUI Documentation](https://docs.openwebui.com/).
Open WebUI is an [extensible](https://github.com/open-webui/pipelines), feature-rich, and user-friendly self-hosted WebUI designed to operate entirely offline. It supports various LLM runners, including Ollama and OpenAI-compatible APIs. For more information, be sure to check out our [Open WebUI Documentation](https://docs.openwebui.com/).
![Open WebUI Demo](./demo.gif)
## Features ⭐
## Key Features of Open WebUI
- 🖥️ **Intuitive Interface**: Our chat interface takes inspiration from ChatGPT, ensuring a user-friendly experience.
- 🚀 **Effortless Setup**: Install seamlessly using Docker or Kubernetes (kubectl, kustomize or helm) for a hassle-free experience with support for both `:ollama` and `:cuda` tagged images.
- 📱 **Responsive Design**: Enjoy a seamless experience on both desktop and mobile devices.
- 🤝 **Ollama/OpenAI API Integration**: Effortlessly integrate OpenAI-compatible APIs for versatile conversations alongside Ollama models. Customize the OpenAI API URL to link with **LMStudio, GroqCloud, Mistral, OpenRouter, and more**.
- **Swift Responsiveness**: Enjoy fast and responsive performance.
- 🧩 **Pipelines, Open WebUI Plugin Support**: Seamlessly integrate custom logic and Python libraries into Open WebUI using [Pipelines Plugin Framework](https://github.com/open-webui/pipelines). Launch your Pipelines instance, set the OpenAI URL to the Pipelines URL, and explore endless possibilities. [Examples](https://github.com/open-webui/pipelines/tree/main/examples) include **Function Calling**, User **Rate Limiting** to control access, **Usage Monitoring** with tools like Langfuse, **Live Translation with LibreTranslate** for multilingual support, **Toxic Message Filtering** and much more.
- 🚀 **Effortless Setup**: Install seamlessly using Docker or Kubernetes (kubectl, kustomize or helm) for a hassle-free experience.
- 📱 **Responsive Design**: Enjoy a seamless experience across Desktop PC, Laptop, and Mobile devices.
- 🌈 **Theme Customization**: Choose from a variety of themes to personalize your Open WebUI experience.
- 💻 **Code Syntax Highlighting**: Enjoy enhanced code readability with our syntax highlighting feature.
- 📱 **Progressive Web App (PWA) for Mobile**: Enjoy a native app-like experience on your mobile device with our PWA, providing offline access on localhost and a seamless user interface.
- ✒️🔢 **Full Markdown and LaTeX Support**: Elevate your LLM experience with comprehensive Markdown and LaTeX capabilities for enriched interaction.
- 📚 **Local RAG Integration**: Dive into the future of chat interactions with the groundbreaking Retrieval Augmented Generation (RAG) support. This feature seamlessly integrates document interactions into your chat experience. You can load documents directly into the chat or add files to your document library, effortlessly accessing them using `#` command in the prompt. In its alpha phase, occasional issues may arise as we actively refine and enhance this feature to ensure optimal performance and reliability.
- 🔍 **RAG Embedding Support**: Change the RAG embedding model directly in document settings, enhancing document processing. This feature supports Ollama and OpenAI models.
- 🌐 **Web Browsing Capability**: Seamlessly integrate websites into your chat experience using the `#` command followed by the URL. This feature allows you to incorporate web content directly into your conversations, enhancing the richness and depth of your interactions.
- 📜 **Prompt Preset Support**: Instantly access preset prompts using the `/` command in the chat input. Load predefined conversation starters effortlessly and expedite your interactions. Effortlessly import prompts through [Open WebUI Community](https://openwebui.com/) integration.
- 👍👎 **RLHF Annotation**: Empower your messages by rating them with thumbs up and thumbs down, followed by the option to provide textual feedback, facilitating the creation of datasets for Reinforcement Learning from Human Feedback (RLHF). Utilize your messages to train or fine-tune models, all while ensuring the confidentiality of locally saved data.
- 🏷️ **Conversation Tagging**: Effortlessly categorize and locate specific chats for quick reference and streamlined data collection.
- 📥🗑️ **Download/Delete Models**: Easily download or remove models directly from the web UI.
- 🔄 **Update All Ollama Models**: Easily update locally installed models all at once with a convenient button, streamlining model management.
- 🛠️ **Model Builder**: Easily create Ollama models via the Web UI. Create and add custom characters/agents, customize chat elements, and import models effortlessly through [Open WebUI Community](https://openwebui.com/) integration.
- ⬆️ **GGUF File Model Creation**: Effortlessly create Ollama models by uploading GGUF files directly from the web UI. Streamlined process with options to upload from your machine or download GGUF files from Hugging Face.
- 📚 **Local RAG Integration**: Dive into the future of chat interactions with groundbreaking Retrieval Augmented Generation (RAG) support. This feature seamlessly integrates document interactions into your chat experience. You can load documents directly into the chat or add files to your document library, effortlessly accessing them using the `#` command before a query.
- 🤖 **Multiple Model Support**: Seamlessly switch between different chat models for diverse interactions.
- 🔍 **Web Search for RAG**: Perform web searches using providers like `SearXNG`, `Google PSE`, `Brave Search`, `serpstack`, and `serper`, and inject the results directly into your chat experience.
- 🔄 **Multi-Modal Support**: Seamlessly engage with models that support multimodal interactions, including images (e.g., LLava).
- 🌐 **Web Browsing Capability**: Seamlessly integrate websites into your chat experience using the `#` command followed by a URL. This feature allows you to incorporate web content directly into your conversations, enhancing the richness and depth of your interactions.
- 🧩 **Modelfile Builder**: Easily create Ollama modelfiles via the web UI. Create and add characters/agents, customize chat elements, and import modelfiles effortlessly through [Open WebUI Community](https://openwebui.com/) integration.
- 🎨 **Image Generation Integration**: Seamlessly incorporate image generation capabilities using options such as AUTOMATIC1111 API or ComfyUI (local), and OpenAI's DALL-E (external), enriching your chat experience with dynamic visual content.
- ⚙️ **Many Models Conversations**: Effortlessly engage with various models simultaneously, harnessing their unique strengths for optimal responses. Enhance your experience by leveraging a diverse set of models in parallel.
- 💬 **Collaborative Chat**: Harness the collective intelligence of multiple models by seamlessly orchestrating group conversations. Use the `@` command to specify the model, enabling dynamic and diverse dialogues within your chat interface. Immerse yourself in the collective intelligence woven into your chat environment.
- 🗨️ **Local Chat Sharing**: Generate and share chat links seamlessly between users, enhancing collaboration and communication.
- 🔄 **Regeneration History Access**: Easily revisit and explore your entire regeneration history.
- 📜 **Chat History**: Effortlessly access and manage your conversation history.
- 📬 **Archive Chats**: Effortlessly store away completed conversations with LLMs for future reference, maintaining a tidy and clutter-free chat interface while allowing for easy retrieval and reference.
- 📤📥 **Import/Export Chat History**: Seamlessly move your chat data in and out of the platform.
- 🗣️ **Voice Input Support**: Engage with your model through voice interactions; enjoy the convenience of talking to your model directly. Additionally, explore the option for sending voice input automatically after 3 seconds of silence for a streamlined experience.
- 🔊 **Configurable Text-to-Speech Endpoint**: Customize your Text-to-Speech experience with configurable OpenAI endpoints.
- ⚙️ **Fine-Tuned Control with Advanced Parameters**: Gain a deeper level of control by adjusting parameters such as temperature and defining your system prompts to tailor the conversation to your specific preferences and needs.
- 🎨🤖 **Image Generation Integration**: Seamlessly incorporate image generation capabilities using options such as AUTOMATIC1111 API (local), ComfyUI (local), and DALL-E, enriching your chat experience with dynamic visual content.
- 🤝 **OpenAI API Integration**: Effortlessly integrate OpenAI-compatible API for versatile conversations alongside Ollama models. Customize the API Base URL to link with **LMStudio, Mistral, OpenRouter, and more**.
-**Multiple OpenAI-Compatible API Support**: Seamlessly integrate and customize various OpenAI-compatible APIs, enhancing the versatility of your chat interactions.
- 🔑 **API Key Generation Support**: Generate secret keys to leverage Open WebUI with OpenAI libraries, simplifying integration and development.
- 🔗 **External Ollama Server Connection**: Seamlessly link to an external Ollama server hosted on a different address by configuring the environment variable.
- 🔀 **Multiple Ollama Instance Load Balancing**: Effortlessly distribute chat requests across multiple Ollama instances for enhanced performance and reliability.
- 👥 **Multi-User Management**: Easily oversee and administer users via our intuitive admin panel, streamlining user management processes.
- 🔗 **Webhook Integration**: Subscribe to new user sign-up events via webhook (compatible with Google Chat and Microsoft Teams), providing real-time notifications and automation capabilities.
- 🛡️ **Model Whitelisting**: Admins can whitelist models for users with the 'user' role, enhancing security and access control.
- 📧 **Trusted Email Authentication**: Authenticate using a trusted email header, adding an additional layer of security and authentication.
- 🔐 **Role-Based Access Control (RBAC)**: Ensure secure access with restricted permissions; only authorized individuals can access your Ollama, and exclusive model creation/pulling rights are reserved for administrators.
- 🔒 **Backend Reverse Proxy Support**: Bolster security through direct communication between Open WebUI backend and Ollama. This key feature eliminates the need to expose Ollama over LAN. Requests made to the '/ollama/api' route from the web UI are seamlessly redirected to Ollama from the backend, enhancing overall system security.
- 🌐🌍 **Multilingual Support**: Experience Open WebUI in your preferred language with our internationalization (i18n) support. Join us in expanding our supported languages! We're actively seeking contributors!
- 🌟 **Continuous Updates**: We are committed to improving Open WebUI with regular updates and new features.
- 🌟 **Continuous Updates**: We are committed to improving Open WebUI with regular updates, fixes, and new features.
Want to learn more about Open WebUI's features? Check out our [Open WebUI documentation](https://docs.openwebui.com/features) for a comprehensive overview!
## 🔗 Also Check Out Open WebUI Community!
......
......@@ -29,6 +29,8 @@ import time
from urllib.parse import urlparse
from typing import Optional, List, Union
from starlette.background import BackgroundTask
from apps.webui.models.models import Models
from apps.webui.models.users import Users
from constants import ERROR_MESSAGES
......@@ -75,9 +77,6 @@ app.state.config.OLLAMA_BASE_URLS = OLLAMA_BASE_URLS
app.state.MODELS = {}
REQUEST_POOL = []
# TODO: Implement a more intelligent load balancing mechanism for distributing requests among multiple backend instances.
# Current implementation uses a simple round-robin approach (random.choice). Consider incorporating algorithms like weighted round-robin,
# least connections, or least response time for better resource utilization and performance optimization.
......@@ -132,20 +131,10 @@ async def update_ollama_api_url(form_data: UrlUpdateForm, user=Depends(get_admin
return {"OLLAMA_BASE_URLS": app.state.config.OLLAMA_BASE_URLS}
@app.get("/cancel/{request_id}")
async def cancel_ollama_request(request_id: str, user=Depends(get_current_user)):
if user:
if request_id in REQUEST_POOL:
REQUEST_POOL.remove(request_id)
return True
else:
raise HTTPException(status_code=401, detail=ERROR_MESSAGES.ACCESS_PROHIBITED)
async def fetch_url(url):
timeout = aiohttp.ClientTimeout(total=5)
try:
async with aiohttp.ClientSession(timeout=timeout) as session:
async with aiohttp.ClientSession(timeout=timeout, trust_env=True) as session:
async with session.get(url) as response:
return await response.json()
except Exception as e:
......@@ -154,6 +143,45 @@ async def fetch_url(url):
return None
async def cleanup_response(
response: Optional[aiohttp.ClientResponse],
session: Optional[aiohttp.ClientSession],
):
if response:
response.close()
if session:
await session.close()
async def post_streaming_url(url: str, payload: str):
r = None
try:
session = aiohttp.ClientSession(trust_env=True)
r = await session.post(url, data=payload)
r.raise_for_status()
return StreamingResponse(
r.content,
status_code=r.status,
headers=dict(r.headers),
background=BackgroundTask(cleanup_response, response=r, session=session),
)
except Exception as e:
error_detail = "Open WebUI: Server Connection Error"
if r is not None:
try:
res = await r.json()
if "error" in res:
error_detail = f"Ollama: {res['error']}"
except:
error_detail = f"Ollama: {e}"
raise HTTPException(
status_code=r.status if r else 500,
detail=error_detail,
)
def merge_models_lists(model_lists):
merged_models = {}
......@@ -219,6 +247,8 @@ async def get_ollama_tags(
return models
else:
url = app.state.config.OLLAMA_BASE_URLS[url_idx]
r = None
try:
r = requests.request(method="GET", url=f"{url}/api/tags")
r.raise_for_status()
......@@ -244,12 +274,13 @@ async def get_ollama_tags(
@app.get("/api/version")
@app.get("/api/version/{url_idx}")
async def get_ollama_versions(url_idx: Optional[int] = None):
if app.state.config.ENABLE_OLLAMA_API:
if url_idx == None:
# returns lowest version
tasks = [
fetch_url(f"{url}/api/version") for url in app.state.config.OLLAMA_BASE_URLS
fetch_url(f"{url}/api/version")
for url in app.state.config.OLLAMA_BASE_URLS
]
responses = await asyncio.gather(*tasks)
responses = list(filter(lambda x: x is not None, responses))
......@@ -270,6 +301,8 @@ async def get_ollama_versions(url_idx: Optional[int] = None):
)
else:
url = app.state.config.OLLAMA_BASE_URLS[url_idx]
r = None
try:
r = requests.request(method="GET", url=f"{url}/api/version")
r.raise_for_status()
......@@ -290,6 +323,8 @@ async def get_ollama_versions(url_idx: Optional[int] = None):
status_code=r.status_code if r else 500,
detail=error_detail,
)
else:
return {"version": False}
class ModelNameForm(BaseModel):
......@@ -309,65 +344,7 @@ async def pull_model(
# Admin should be able to pull models from any source
payload = {**form_data.model_dump(exclude_none=True), "insecure": True}
def get_request():
nonlocal url
nonlocal r
request_id = str(uuid.uuid4())
try:
REQUEST_POOL.append(request_id)
def stream_content():
try:
yield json.dumps({"id": request_id, "done": False}) + "\n"
for chunk in r.iter_content(chunk_size=8192):
if request_id in REQUEST_POOL:
yield chunk
else:
log.warning("User: canceled request")
break
finally:
if hasattr(r, "close"):
r.close()
if request_id in REQUEST_POOL:
REQUEST_POOL.remove(request_id)
r = requests.request(
method="POST",
url=f"{url}/api/pull",
data=json.dumps(payload),
stream=True,
)
r.raise_for_status()
return StreamingResponse(
stream_content(),
status_code=r.status_code,
headers=dict(r.headers),
)
except Exception as e:
raise e
try:
return await run_in_threadpool(get_request)
except Exception as e:
log.exception(e)
error_detail = "Open WebUI: Server Connection Error"
if r is not None:
try:
res = r.json()
if "error" in res:
error_detail = f"Ollama: {res['error']}"
except:
error_detail = f"Ollama: {e}"
raise HTTPException(
status_code=r.status_code if r else 500,
detail=error_detail,
)
return await post_streaming_url(f"{url}/api/pull", json.dumps(payload))
class PushModelForm(BaseModel):
......@@ -395,49 +372,8 @@ async def push_model(
url = app.state.config.OLLAMA_BASE_URLS[url_idx]
log.debug(f"url: {url}")
r = None
def get_request():
nonlocal url
nonlocal r
try:
def stream_content():
for chunk in r.iter_content(chunk_size=8192):
yield chunk
r = requests.request(
method="POST",
url=f"{url}/api/push",
data=form_data.model_dump_json(exclude_none=True).encode(),
)
r.raise_for_status()
return StreamingResponse(
stream_content(),
status_code=r.status_code,
headers=dict(r.headers),
)
except Exception as e:
raise e
try:
return await run_in_threadpool(get_request)
except Exception as e:
log.exception(e)
error_detail = "Open WebUI: Server Connection Error"
if r is not None:
try:
res = r.json()
if "error" in res:
error_detail = f"Ollama: {res['error']}"
except:
error_detail = f"Ollama: {e}"
raise HTTPException(
status_code=r.status_code if r else 500,
detail=error_detail,
return await post_streaming_url(
f"{url}/api/push", form_data.model_dump_json(exclude_none=True).encode()
)
......@@ -457,52 +393,8 @@ async def create_model(
url = app.state.config.OLLAMA_BASE_URLS[url_idx]
log.info(f"url: {url}")
r = None
def get_request():
nonlocal url
nonlocal r
try:
def stream_content():
for chunk in r.iter_content(chunk_size=8192):
yield chunk
r = requests.request(
method="POST",
url=f"{url}/api/create",
data=form_data.model_dump_json(exclude_none=True).encode(),
stream=True,
)
r.raise_for_status()
log.debug(f"r: {r}")
return StreamingResponse(
stream_content(),
status_code=r.status_code,
headers=dict(r.headers),
)
except Exception as e:
raise e
try:
return await run_in_threadpool(get_request)
except Exception as e:
log.exception(e)
error_detail = "Open WebUI: Server Connection Error"
if r is not None:
try:
res = r.json()
if "error" in res:
error_detail = f"Ollama: {res['error']}"
except:
error_detail = f"Ollama: {e}"
raise HTTPException(
status_code=r.status_code if r else 500,
detail=error_detail,
return await post_streaming_url(
f"{url}/api/create", form_data.model_dump_json(exclude_none=True).encode()
)
......@@ -793,65 +685,8 @@ async def generate_completion(
url = app.state.config.OLLAMA_BASE_URLS[url_idx]
log.info(f"url: {url}")
r = None
def get_request():
nonlocal form_data
nonlocal r
request_id = str(uuid.uuid4())
try:
REQUEST_POOL.append(request_id)
def stream_content():
try:
if form_data.stream:
yield json.dumps({"id": request_id, "done": False}) + "\n"
for chunk in r.iter_content(chunk_size=8192):
if request_id in REQUEST_POOL:
yield chunk
else:
log.warning("User: canceled request")
break
finally:
if hasattr(r, "close"):
r.close()
if request_id in REQUEST_POOL:
REQUEST_POOL.remove(request_id)
r = requests.request(
method="POST",
url=f"{url}/api/generate",
data=form_data.model_dump_json(exclude_none=True).encode(),
stream=True,
)
r.raise_for_status()
return StreamingResponse(
stream_content(),
status_code=r.status_code,
headers=dict(r.headers),
)
except Exception as e:
raise e
try:
return await run_in_threadpool(get_request)
except Exception as e:
error_detail = "Open WebUI: Server Connection Error"
if r is not None:
try:
res = r.json()
if "error" in res:
error_detail = f"Ollama: {res['error']}"
except:
error_detail = f"Ollama: {e}"
raise HTTPException(
status_code=r.status_code if r else 500,
detail=error_detail,
return await post_streaming_url(
f"{url}/api/generate", form_data.model_dump_json(exclude_none=True).encode()
)
......@@ -902,27 +737,42 @@ async def generate_chat_completion(
if model_info.params:
payload["options"] = {}
if model_info.params.get("mirostat", None):
payload["options"]["mirostat"] = model_info.params.get("mirostat", None)
if model_info.params.get("mirostat_eta", None):
payload["options"]["mirostat_eta"] = model_info.params.get(
"mirostat_eta", None
)
if model_info.params.get("mirostat_tau", None):
payload["options"]["mirostat_tau"] = model_info.params.get(
"mirostat_tau", None
)
if model_info.params.get("num_ctx", None):
payload["options"]["num_ctx"] = model_info.params.get("num_ctx", None)
if model_info.params.get("repeat_last_n", None):
payload["options"]["repeat_last_n"] = model_info.params.get(
"repeat_last_n", None
)
if model_info.params.get("frequency_penalty", None):
payload["options"]["repeat_penalty"] = model_info.params.get(
"frequency_penalty", None
)
if model_info.params.get("temperature", None):
payload["options"]["temperature"] = model_info.params.get(
"temperature", None
)
if model_info.params.get("seed", None):
payload["options"]["seed"] = model_info.params.get("seed", None)
if model_info.params.get("stop", None):
payload["options"]["stop"] = (
[
bytes(stop, "utf-8").decode("unicode_escape")
......@@ -932,15 +782,33 @@ async def generate_chat_completion(
else None
)
if model_info.params.get("tfs_z", None):
payload["options"]["tfs_z"] = model_info.params.get("tfs_z", None)
if model_info.params.get("max_tokens", None):
payload["options"]["num_predict"] = model_info.params.get(
"max_tokens", None
)
if model_info.params.get("top_k", None):
payload["options"]["top_k"] = model_info.params.get("top_k", None)
if model_info.params.get("top_p", None):
payload["options"]["top_p"] = model_info.params.get("top_p", None)
if model_info.params.get("use_mmap", None):
payload["options"]["use_mmap"] = model_info.params.get("use_mmap", None)
if model_info.params.get("use_mlock", None):
payload["options"]["use_mlock"] = model_info.params.get(
"use_mlock", None
)
if model_info.params.get("num_thread", None):
payload["options"]["num_thread"] = model_info.params.get(
"num_thread", None
)
if model_info.params.get("system", None):
# Check if the payload already has a system message
# If not, add a system message to the payload
......@@ -977,67 +845,7 @@ async def generate_chat_completion(
print(payload)
r = None
def get_request():
nonlocal payload
nonlocal r
request_id = str(uuid.uuid4())
try:
REQUEST_POOL.append(request_id)
def stream_content():
try:
if payload.get("stream", None):
yield json.dumps({"id": request_id, "done": False}) + "\n"
for chunk in r.iter_content(chunk_size=8192):
if request_id in REQUEST_POOL:
yield chunk
else:
log.warning("User: canceled request")
break
finally:
if hasattr(r, "close"):
r.close()
if request_id in REQUEST_POOL:
REQUEST_POOL.remove(request_id)
r = requests.request(
method="POST",
url=f"{url}/api/chat",
data=json.dumps(payload),
stream=True,
)
r.raise_for_status()
return StreamingResponse(
stream_content(),
status_code=r.status_code,
headers=dict(r.headers),
)
except Exception as e:
log.exception(e)
raise e
try:
return await run_in_threadpool(get_request)
except Exception as e:
error_detail = "Open WebUI: Server Connection Error"
if r is not None:
try:
res = r.json()
if "error" in res:
error_detail = f"Ollama: {res['error']}"
except:
error_detail = f"Ollama: {e}"
raise HTTPException(
status_code=r.status_code if r else 500,
detail=error_detail,
)
return await post_streaming_url(f"{url}/api/chat", json.dumps(payload))
# TODO: we should update this part once Ollama supports other types
......@@ -1128,68 +936,7 @@ async def generate_openai_chat_completion(
url = app.state.config.OLLAMA_BASE_URLS[url_idx]
log.info(f"url: {url}")
r = None
def get_request():
nonlocal payload
nonlocal r
request_id = str(uuid.uuid4())
try:
REQUEST_POOL.append(request_id)
def stream_content():
try:
if payload.get("stream"):
yield json.dumps(
{"request_id": request_id, "done": False}
) + "\n"
for chunk in r.iter_content(chunk_size=8192):
if request_id in REQUEST_POOL:
yield chunk
else:
log.warning("User: canceled request")
break
finally:
if hasattr(r, "close"):
r.close()
if request_id in REQUEST_POOL:
REQUEST_POOL.remove(request_id)
r = requests.request(
method="POST",
url=f"{url}/v1/chat/completions",
data=json.dumps(payload),
stream=True,
)
r.raise_for_status()
return StreamingResponse(
stream_content(),
status_code=r.status_code,
headers=dict(r.headers),
)
except Exception as e:
raise e
try:
return await run_in_threadpool(get_request)
except Exception as e:
error_detail = "Open WebUI: Server Connection Error"
if r is not None:
try:
res = r.json()
if "error" in res:
error_detail = f"Ollama: {res['error']}"
except:
error_detail = f"Ollama: {e}"
raise HTTPException(
status_code=r.status_code if r else 500,
detail=error_detail,
)
return await post_streaming_url(f"{url}/v1/chat/completions", json.dumps(payload))
@app.get("/v1/models")
......@@ -1301,7 +1048,7 @@ async def download_file_stream(
timeout = aiohttp.ClientTimeout(total=600) # Set the timeout
async with aiohttp.ClientSession(timeout=timeout) as session:
async with aiohttp.ClientSession(timeout=timeout, trust_env=True) as session:
async with session.get(file_url, headers=headers) as response:
total_size = int(response.headers.get("content-length", 0)) + current_size
......@@ -1518,7 +1265,7 @@ async def deprecated_proxy(
if path == "generate":
data = json.loads(body.decode("utf-8"))
if not ("stream" in data and data["stream"] == False):
if data.get("stream", True):
yield json.dumps({"id": request_id, "done": False}) + "\n"
elif path == "chat":
......
......@@ -9,6 +9,7 @@ import json
import logging
from pydantic import BaseModel
from starlette.background import BackgroundTask
from apps.webui.models.models import Models
from apps.webui.models.users import Users
......@@ -184,19 +185,26 @@ async def speech(request: Request, user=Depends(get_verified_user)):
async def fetch_url(url, key):
timeout = aiohttp.ClientTimeout(total=5)
try:
if key != "":
headers = {"Authorization": f"Bearer {key}"}
async with aiohttp.ClientSession(timeout=timeout) as session:
async with aiohttp.ClientSession(timeout=timeout, trust_env=True) as session:
async with session.get(url, headers=headers) as response:
return await response.json()
else:
return None
except Exception as e:
# Handle connection error here
log.error(f"Connection error: {e}")
return None
async def cleanup_response(
response: Optional[aiohttp.ClientResponse],
session: Optional[aiohttp.ClientSession],
):
if response:
response.close()
if session:
await session.close()
def merge_models_lists(model_lists):
log.debug(f"merge_models_lists {model_lists}")
merged_list = []
......@@ -222,7 +230,7 @@ def merge_models_lists(model_lists):
return merged_list
async def get_all_models():
async def get_all_models(raw: bool = False):
log.info("get_all_models()")
if (
......@@ -231,6 +239,27 @@ async def get_all_models():
) or not app.state.config.ENABLE_OPENAI_API:
models = {"data": []}
else:
# Check if API KEYS length is same than API URLS length
if len(app.state.config.OPENAI_API_KEYS) != len(
app.state.config.OPENAI_API_BASE_URLS
):
# if there are more keys than urls, remove the extra keys
if len(app.state.config.OPENAI_API_KEYS) > len(
app.state.config.OPENAI_API_BASE_URLS
):
app.state.config.OPENAI_API_KEYS = app.state.config.OPENAI_API_KEYS[
: len(app.state.config.OPENAI_API_BASE_URLS)
]
# if there are more urls than keys, add empty keys
else:
app.state.config.OPENAI_API_KEYS += [
""
for _ in range(
len(app.state.config.OPENAI_API_BASE_URLS)
- len(app.state.config.OPENAI_API_KEYS)
)
]
tasks = [
fetch_url(f"{url}/models", app.state.config.OPENAI_API_KEYS[idx])
for idx, url in enumerate(app.state.config.OPENAI_API_BASE_URLS)
......@@ -239,6 +268,9 @@ async def get_all_models():
responses = await asyncio.gather(*tasks)
log.debug(f"get_all_models:responses() {responses}")
if raw:
return responses
models = {
"data": merge_models_lists(
list(
......@@ -277,11 +309,16 @@ async def get_models(url_idx: Optional[int] = None, user=Depends(get_current_use
return models
else:
url = app.state.config.OPENAI_API_BASE_URLS[url_idx]
key = app.state.config.OPENAI_API_KEYS[url_idx]
headers = {}
headers["Authorization"] = f"Bearer {key}"
headers["Content-Type"] = "application/json"
r = None
try:
r = requests.request(method="GET", url=f"{url}/models")
r = requests.request(method="GET", url=f"{url}/models", headers=headers)
r.raise_for_status()
response_data = r.json()
......@@ -336,13 +373,28 @@ async def proxy(path: str, request: Request, user=Depends(get_verified_user)):
model_info.params = model_info.params.model_dump()
if model_info.params:
payload["temperature"] = model_info.params.get("temperature", None)
payload["top_p"] = model_info.params.get("top_p", None)
payload["max_tokens"] = model_info.params.get("max_tokens", None)
payload["frequency_penalty"] = model_info.params.get(
"frequency_penalty", None
if model_info.params.get("temperature", None):
payload["temperature"] = int(
model_info.params.get("temperature")
)
if model_info.params.get("top_p", None):
payload["top_p"] = int(model_info.params.get("top_p", None))
if model_info.params.get("max_tokens", None):
payload["max_tokens"] = int(
model_info.params.get("max_tokens", None)
)
if model_info.params.get("frequency_penalty", None):
payload["frequency_penalty"] = int(
model_info.params.get("frequency_penalty", None)
)
if model_info.params.get("seed", None):
payload["seed"] = model_info.params.get("seed", None)
if model_info.params.get("stop", None):
payload["stop"] = (
[
bytes(stop, "utf-8").decode("unicode_escape")
......@@ -374,18 +426,12 @@ async def proxy(path: str, request: Request, user=Depends(get_verified_user)):
else:
pass
print(app.state.MODELS)
model = app.state.MODELS[payload.get("model")]
idx = model["urlIdx"]
if "pipeline" in model and model.get("pipeline"):
payload["user"] = {"name": user.name, "id": user.id}
payload["title"] = (
True
if payload["stream"] == False and payload["max_tokens"] == 50
else False
)
# Check if the model is "gpt-4-vision-preview" and set "max_tokens" to 4000
# This is a workaround until OpenAI fixes the issue with this model
......@@ -407,47 +453,53 @@ async def proxy(path: str, request: Request, user=Depends(get_verified_user)):
target_url = f"{url}/{path}"
if key == "":
raise HTTPException(status_code=401, detail=ERROR_MESSAGES.API_KEY_NOT_FOUND)
headers = {}
headers["Authorization"] = f"Bearer {key}"
headers["Content-Type"] = "application/json"
r = None
session = None
streaming = False
try:
r = requests.request(
session = aiohttp.ClientSession(trust_env=True)
r = await session.request(
method=request.method,
url=target_url,
data=payload if payload else body,
headers=headers,
stream=True,
)
r.raise_for_status()
# Check if response is SSE
if "text/event-stream" in r.headers.get("Content-Type", ""):
streaming = True
return StreamingResponse(
r.iter_content(chunk_size=8192),
status_code=r.status_code,
r.content,
status_code=r.status,
headers=dict(r.headers),
background=BackgroundTask(
cleanup_response, response=r, session=session
),
)
else:
response_data = r.json()
response_data = await r.json()
return response_data
except Exception as e:
log.exception(e)
error_detail = "Open WebUI: Server Connection Error"
if r is not None:
try:
res = r.json()
res = await r.json()
print(res)
if "error" in res:
error_detail = f"External: {res['error']['message'] if 'message' in res['error'] else res['error']}"
except:
error_detail = f"External: {e}"
raise HTTPException(
status_code=r.status_code if r else 500, detail=error_detail
)
raise HTTPException(status_code=r.status if r else 500, detail=error_detail)
finally:
if not streaming and session:
if r:
r.close()
await session.close()
......@@ -11,7 +11,7 @@ from fastapi.middleware.cors import CORSMiddleware
import os, shutil, logging, re
from pathlib import Path
from typing import List
from typing import List, Union, Sequence
from chromadb.utils.batch_utils import create_batches
......@@ -61,6 +61,14 @@ from apps.rag.utils import (
query_collection_with_hybrid_search,
)
from apps.rag.search.brave import search_brave
from apps.rag.search.google_pse import search_google_pse
from apps.rag.search.main import SearchResult
from apps.rag.search.searxng import search_searxng
from apps.rag.search.serper import search_serper
from apps.rag.search.serpstack import search_serpstack
from utils.misc import (
calculate_sha256,
calculate_sha256_string,
......@@ -70,6 +78,7 @@ from utils.misc import (
from utils.utils import get_current_user, get_admin_user
from config import (
AppConfig,
ENV,
SRC_LOG_LEVELS,
UPLOAD_DIR,
......@@ -95,7 +104,18 @@ from config import (
RAG_TEMPLATE,
ENABLE_RAG_LOCAL_WEB_FETCH,
YOUTUBE_LOADER_LANGUAGE,
AppConfig,
ENABLE_RAG_WEB_SEARCH,
RAG_WEB_SEARCH_ENGINE,
SEARXNG_QUERY_URL,
GOOGLE_PSE_API_KEY,
GOOGLE_PSE_ENGINE_ID,
BRAVE_SEARCH_API_KEY,
SERPSTACK_API_KEY,
SERPSTACK_HTTPS,
SERPER_API_KEY,
RAG_WEB_SEARCH_RESULT_COUNT,
RAG_WEB_SEARCH_CONCURRENT_REQUESTS,
RAG_EMBEDDING_OPENAI_BATCH_SIZE,
)
from constants import ERROR_MESSAGES
......@@ -120,6 +140,7 @@ app.state.config.CHUNK_OVERLAP = CHUNK_OVERLAP
app.state.config.RAG_EMBEDDING_ENGINE = RAG_EMBEDDING_ENGINE
app.state.config.RAG_EMBEDDING_MODEL = RAG_EMBEDDING_MODEL
app.state.config.RAG_EMBEDDING_OPENAI_BATCH_SIZE = RAG_EMBEDDING_OPENAI_BATCH_SIZE
app.state.config.RAG_RERANKING_MODEL = RAG_RERANKING_MODEL
app.state.config.RAG_TEMPLATE = RAG_TEMPLATE
......@@ -134,6 +155,20 @@ app.state.config.YOUTUBE_LOADER_LANGUAGE = YOUTUBE_LOADER_LANGUAGE
app.state.YOUTUBE_LOADER_TRANSLATION = None
app.state.config.ENABLE_RAG_WEB_SEARCH = ENABLE_RAG_WEB_SEARCH
app.state.config.RAG_WEB_SEARCH_ENGINE = RAG_WEB_SEARCH_ENGINE
app.state.config.SEARXNG_QUERY_URL = SEARXNG_QUERY_URL
app.state.config.GOOGLE_PSE_API_KEY = GOOGLE_PSE_API_KEY
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.SERPSTACK_API_KEY = SERPSTACK_API_KEY
app.state.config.SERPSTACK_HTTPS = SERPSTACK_HTTPS
app.state.config.SERPER_API_KEY = SERPER_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
def update_embedding_model(
embedding_model: str,
update_model: bool = False,
......@@ -179,6 +214,7 @@ app.state.EMBEDDING_FUNCTION = get_embedding_function(
app.state.sentence_transformer_ef,
app.state.config.OPENAI_API_KEY,
app.state.config.OPENAI_API_BASE_URL,
app.state.config.RAG_EMBEDDING_OPENAI_BATCH_SIZE,
)
origins = ["*"]
......@@ -201,6 +237,10 @@ class UrlForm(CollectionNameForm):
url: str
class SearchForm(CollectionNameForm):
query: str
@app.get("/")
async def get_status():
return {
......@@ -211,6 +251,7 @@ async def get_status():
"embedding_engine": app.state.config.RAG_EMBEDDING_ENGINE,
"embedding_model": app.state.config.RAG_EMBEDDING_MODEL,
"reranking_model": app.state.config.RAG_RERANKING_MODEL,
"openai_batch_size": app.state.config.RAG_EMBEDDING_OPENAI_BATCH_SIZE,
}
......@@ -223,6 +264,7 @@ async def get_embedding_config(user=Depends(get_admin_user)):
"openai_config": {
"url": app.state.config.OPENAI_API_BASE_URL,
"key": app.state.config.OPENAI_API_KEY,
"batch_size": app.state.config.RAG_EMBEDDING_OPENAI_BATCH_SIZE,
},
}
......@@ -238,6 +280,7 @@ async def get_reraanking_config(user=Depends(get_admin_user)):
class OpenAIConfigForm(BaseModel):
url: str
key: str
batch_size: Optional[int] = None
class EmbeddingModelUpdateForm(BaseModel):
......@@ -258,9 +301,14 @@ async def update_embedding_config(
app.state.config.RAG_EMBEDDING_MODEL = form_data.embedding_model
if app.state.config.RAG_EMBEDDING_ENGINE in ["ollama", "openai"]:
if form_data.openai_config != None:
if form_data.openai_config is not None:
app.state.config.OPENAI_API_BASE_URL = form_data.openai_config.url
app.state.config.OPENAI_API_KEY = form_data.openai_config.key
app.state.config.RAG_EMBEDDING_OPENAI_BATCH_SIZE = (
form_data.openai_config.batch_size
if form_data.openai_config.batch_size
else 1
)
update_embedding_model(app.state.config.RAG_EMBEDDING_MODEL)
......@@ -270,6 +318,7 @@ async def update_embedding_config(
app.state.sentence_transformer_ef,
app.state.config.OPENAI_API_KEY,
app.state.config.OPENAI_API_BASE_URL,
app.state.config.RAG_EMBEDDING_OPENAI_BATCH_SIZE,
)
return {
......@@ -279,6 +328,7 @@ async def update_embedding_config(
"openai_config": {
"url": app.state.config.OPENAI_API_BASE_URL,
"key": app.state.config.OPENAI_API_KEY,
"batch_size": app.state.config.RAG_EMBEDDING_OPENAI_BATCH_SIZE,
},
}
except Exception as e:
......@@ -326,11 +376,26 @@ async def get_rag_config(user=Depends(get_admin_user)):
"chunk_size": app.state.config.CHUNK_SIZE,
"chunk_overlap": app.state.config.CHUNK_OVERLAP,
},
"web_loader_ssl_verification": app.state.config.ENABLE_RAG_WEB_LOADER_SSL_VERIFICATION,
"youtube": {
"language": app.state.config.YOUTUBE_LOADER_LANGUAGE,
"translation": app.state.YOUTUBE_LOADER_TRANSLATION,
},
"web": {
"ssl_verification": app.state.config.ENABLE_RAG_WEB_LOADER_SSL_VERIFICATION,
"search": {
"enabled": app.state.config.ENABLE_RAG_WEB_SEARCH,
"engine": app.state.config.RAG_WEB_SEARCH_ENGINE,
"searxng_query_url": app.state.config.SEARXNG_QUERY_URL,
"google_pse_api_key": app.state.config.GOOGLE_PSE_API_KEY,
"google_pse_engine_id": app.state.config.GOOGLE_PSE_ENGINE_ID,
"brave_search_api_key": app.state.config.BRAVE_SEARCH_API_KEY,
"serpstack_api_key": app.state.config.SERPSTACK_API_KEY,
"serpstack_https": app.state.config.SERPSTACK_HTTPS,
"serper_api_key": app.state.config.SERPER_API_KEY,
"result_count": app.state.config.RAG_WEB_SEARCH_RESULT_COUNT,
"concurrent_requests": app.state.config.RAG_WEB_SEARCH_CONCURRENT_REQUESTS,
},
},
}
......@@ -344,11 +409,30 @@ class YoutubeLoaderConfig(BaseModel):
translation: Optional[str] = None
class WebSearchConfig(BaseModel):
enabled: bool
engine: Optional[str] = None
searxng_query_url: Optional[str] = None
google_pse_api_key: Optional[str] = None
google_pse_engine_id: Optional[str] = None
brave_search_api_key: Optional[str] = None
serpstack_api_key: Optional[str] = None
serpstack_https: Optional[bool] = None
serper_api_key: Optional[str] = None
result_count: Optional[int] = None
concurrent_requests: Optional[int] = None
class WebConfig(BaseModel):
search: WebSearchConfig
web_loader_ssl_verification: Optional[bool] = None
class ConfigUpdateForm(BaseModel):
pdf_extract_images: Optional[bool] = None
chunk: Optional[ChunkParamUpdateForm] = None
web_loader_ssl_verification: Optional[bool] = None
youtube: Optional[YoutubeLoaderConfig] = None
web: Optional[WebConfig] = None
@app.post("/config/update")
......@@ -359,34 +443,35 @@ async def update_rag_config(form_data: ConfigUpdateForm, user=Depends(get_admin_
else app.state.config.PDF_EXTRACT_IMAGES
)
app.state.config.CHUNK_SIZE = (
form_data.chunk.chunk_size
if form_data.chunk is not None
else app.state.config.CHUNK_SIZE
)
if form_data.chunk is not None:
app.state.config.CHUNK_SIZE = form_data.chunk.chunk_size
app.state.config.CHUNK_OVERLAP = form_data.chunk.chunk_overlap
app.state.config.CHUNK_OVERLAP = (
form_data.chunk.chunk_overlap
if form_data.chunk is not None
else app.state.config.CHUNK_OVERLAP
)
if form_data.youtube is not None:
app.state.config.YOUTUBE_LOADER_LANGUAGE = form_data.youtube.language
app.state.YOUTUBE_LOADER_TRANSLATION = form_data.youtube.translation
if form_data.web is not None:
app.state.config.ENABLE_RAG_WEB_LOADER_SSL_VERIFICATION = (
form_data.web_loader_ssl_verification
if form_data.web_loader_ssl_verification != None
else app.state.config.ENABLE_RAG_WEB_LOADER_SSL_VERIFICATION
form_data.web.web_loader_ssl_verification
)
app.state.config.YOUTUBE_LOADER_LANGUAGE = (
form_data.youtube.language
if form_data.youtube is not None
else app.state.config.YOUTUBE_LOADER_LANGUAGE
app.state.config.ENABLE_RAG_WEB_SEARCH = form_data.web.search.enabled
app.state.config.RAG_WEB_SEARCH_ENGINE = form_data.web.search.engine
app.state.config.SEARXNG_QUERY_URL = form_data.web.search.searxng_query_url
app.state.config.GOOGLE_PSE_API_KEY = form_data.web.search.google_pse_api_key
app.state.config.GOOGLE_PSE_ENGINE_ID = (
form_data.web.search.google_pse_engine_id
)
app.state.YOUTUBE_LOADER_TRANSLATION = (
form_data.youtube.translation
if form_data.youtube is not None
else app.state.YOUTUBE_LOADER_TRANSLATION
app.state.config.BRAVE_SEARCH_API_KEY = (
form_data.web.search.brave_search_api_key
)
app.state.config.SERPSTACK_API_KEY = form_data.web.search.serpstack_api_key
app.state.config.SERPSTACK_HTTPS = form_data.web.search.serpstack_https
app.state.config.SERPER_API_KEY = form_data.web.search.serper_api_key
app.state.config.RAG_WEB_SEARCH_RESULT_COUNT = form_data.web.search.result_count
app.state.config.RAG_WEB_SEARCH_CONCURRENT_REQUESTS = (
form_data.web.search.concurrent_requests
)
return {
......@@ -396,11 +481,26 @@ async def update_rag_config(form_data: ConfigUpdateForm, user=Depends(get_admin_
"chunk_size": app.state.config.CHUNK_SIZE,
"chunk_overlap": app.state.config.CHUNK_OVERLAP,
},
"web_loader_ssl_verification": app.state.config.ENABLE_RAG_WEB_LOADER_SSL_VERIFICATION,
"youtube": {
"language": app.state.config.YOUTUBE_LOADER_LANGUAGE,
"translation": app.state.YOUTUBE_LOADER_TRANSLATION,
},
"web": {
"ssl_verification": app.state.config.ENABLE_RAG_WEB_LOADER_SSL_VERIFICATION,
"search": {
"enabled": app.state.config.ENABLE_RAG_WEB_SEARCH,
"engine": app.state.config.RAG_WEB_SEARCH_ENGINE,
"searxng_query_url": app.state.config.SEARXNG_QUERY_URL,
"google_pse_api_key": app.state.config.GOOGLE_PSE_API_KEY,
"google_pse_engine_id": app.state.config.GOOGLE_PSE_ENGINE_ID,
"brave_search_api_key": app.state.config.BRAVE_SEARCH_API_KEY,
"serpstack_api_key": app.state.config.SERPSTACK_API_KEY,
"serpstack_https": app.state.config.SERPSTACK_HTTPS,
"serper_api_key": app.state.config.SERPER_API_KEY,
"result_count": app.state.config.RAG_WEB_SEARCH_RESULT_COUNT,
"concurrent_requests": app.state.config.RAG_WEB_SEARCH_CONCURRENT_REQUESTS,
},
},
}
......@@ -589,8 +689,20 @@ def store_web(form_data: UrlForm, user=Depends(get_current_user)):
)
def get_web_loader(url: str, verify_ssl: bool = True):
def get_web_loader(url: Union[str, Sequence[str]], verify_ssl: bool = True):
# Check if the URL is valid
if not validate_url(url):
raise ValueError(ERROR_MESSAGES.INVALID_URL)
return WebBaseLoader(
url,
verify_ssl=verify_ssl,
requests_per_second=RAG_WEB_SEARCH_CONCURRENT_REQUESTS,
continue_on_failure=True,
)
def validate_url(url: Union[str, Sequence[str]]):
if isinstance(url, str):
if isinstance(validators.url(url), validators.ValidationError):
raise ValueError(ERROR_MESSAGES.INVALID_URL)
if not ENABLE_RAG_LOCAL_WEB_FETCH:
......@@ -606,7 +718,11 @@ def get_web_loader(url: str, verify_ssl: bool = True):
for ip in ipv6_addresses:
if validators.ipv6(ip, private=True):
raise ValueError(ERROR_MESSAGES.INVALID_URL)
return WebBaseLoader(url, verify_ssl=verify_ssl)
return True
elif isinstance(url, Sequence):
return all(validate_url(u) for u in url)
else:
return False
def resolve_hostname(hostname):
......@@ -620,6 +736,114 @@ def resolve_hostname(hostname):
return ipv4_addresses, ipv6_addresses
def search_web(engine: str, query: str) -> list[SearchResult]:
"""Search the web using a search engine and return the results as a list of SearchResult objects.
Will look for a search engine API key in environment variables in the following order:
- SEARXNG_QUERY_URL
- GOOGLE_PSE_API_KEY + GOOGLE_PSE_ENGINE_ID
- BRAVE_SEARCH_API_KEY
- SERPSTACK_API_KEY
- SERPER_API_KEY
Args:
query (str): The query to search for
"""
# TODO: add playwright to search the web
if engine == "searxng":
if app.state.config.SEARXNG_QUERY_URL:
return search_searxng(
app.state.config.SEARXNG_QUERY_URL,
query,
app.state.config.RAG_WEB_SEARCH_RESULT_COUNT,
)
else:
raise Exception("No SEARXNG_QUERY_URL found in environment variables")
elif engine == "google_pse":
if (
app.state.config.GOOGLE_PSE_API_KEY
and app.state.config.GOOGLE_PSE_ENGINE_ID
):
return search_google_pse(
app.state.config.GOOGLE_PSE_API_KEY,
app.state.config.GOOGLE_PSE_ENGINE_ID,
query,
app.state.config.RAG_WEB_SEARCH_RESULT_COUNT,
)
else:
raise Exception(
"No GOOGLE_PSE_API_KEY or GOOGLE_PSE_ENGINE_ID found in environment variables"
)
elif engine == "brave":
if app.state.config.BRAVE_SEARCH_API_KEY:
return search_brave(
app.state.config.BRAVE_SEARCH_API_KEY,
query,
app.state.config.RAG_WEB_SEARCH_RESULT_COUNT,
)
else:
raise Exception("No BRAVE_SEARCH_API_KEY found in environment variables")
elif engine == "serpstack":
if app.state.config.SERPSTACK_API_KEY:
return search_serpstack(
app.state.config.SERPSTACK_API_KEY,
query,
app.state.config.RAG_WEB_SEARCH_RESULT_COUNT,
https_enabled=app.state.config.SERPSTACK_HTTPS,
)
else:
raise Exception("No SERPSTACK_API_KEY found in environment variables")
elif engine == "serper":
if app.state.config.SERPER_API_KEY:
return search_serper(
app.state.config.SERPER_API_KEY,
query,
app.state.config.RAG_WEB_SEARCH_RESULT_COUNT,
)
else:
raise Exception("No SERPER_API_KEY found in environment variables")
else:
raise Exception("No search engine API key found in environment variables")
@app.post("/web/search")
def store_web_search(form_data: SearchForm, user=Depends(get_current_user)):
try:
web_results = search_web(
app.state.config.RAG_WEB_SEARCH_ENGINE, form_data.query
)
except Exception as e:
log.exception(e)
print(e)
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail=ERROR_MESSAGES.WEB_SEARCH_ERROR(e),
)
try:
urls = [result.link for result in web_results]
loader = get_web_loader(urls)
data = loader.load()
collection_name = form_data.collection_name
if collection_name == "":
collection_name = calculate_sha256_string(form_data.query)[:63]
store_data_in_vector_db(data, collection_name, overwrite=True)
return {
"status": True,
"collection_name": collection_name,
"filenames": urls,
}
except Exception as e:
log.exception(e)
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail=ERROR_MESSAGES.DEFAULT(e),
)
def store_data_in_vector_db(data, collection_name, overwrite: bool = False) -> bool:
text_splitter = RecursiveCharacterTextSplitter(
......@@ -670,6 +894,7 @@ def store_docs_in_vector_db(docs, collection_name, overwrite: bool = False) -> b
app.state.sentence_transformer_ef,
app.state.config.OPENAI_API_KEY,
app.state.config.OPENAI_API_BASE_URL,
app.state.config.RAG_EMBEDDING_OPENAI_BATCH_SIZE,
)
embedding_texts = list(map(lambda x: x.replace("\n", " "), texts))
......@@ -939,6 +1164,30 @@ def reset_vector_db(user=Depends(get_admin_user)):
CHROMA_CLIENT.reset()
@app.get("/reset/uploads")
def reset_upload_dir(user=Depends(get_admin_user)) -> bool:
folder = f"{UPLOAD_DIR}"
try:
# Check if the directory exists
if os.path.exists(folder):
# Iterate over all the files and directories in the specified directory
for filename in os.listdir(folder):
file_path = os.path.join(folder, filename)
try:
if os.path.isfile(file_path) or os.path.islink(file_path):
os.unlink(file_path) # Remove the file or link
elif os.path.isdir(file_path):
shutil.rmtree(file_path) # Remove the directory
except Exception as e:
print(f"Failed to delete {file_path}. Reason: {e}")
else:
print(f"The directory {folder} does not exist")
except Exception as e:
print(f"Failed to process the directory {folder}. Reason: {e}")
return True
@app.get("/reset")
def reset(user=Depends(get_admin_user)) -> bool:
folder = f"{UPLOAD_DIR}"
......
import logging
import requests
from apps.rag.search.main import SearchResult
from config import SRC_LOG_LEVELS
log = logging.getLogger(__name__)
log.setLevel(SRC_LOG_LEVELS["RAG"])
def search_brave(api_key: str, query: str, count: int) -> list[SearchResult]:
"""Search using Brave's Search API and return the results as a list of SearchResult objects.
Args:
api_key (str): A Brave Search API key
query (str): The query to search for
"""
url = "https://api.search.brave.com/res/v1/web/search"
headers = {
"Accept": "application/json",
"Accept-Encoding": "gzip",
"X-Subscription-Token": api_key,
}
params = {"q": query, "count": count}
response = requests.get(url, headers=headers, params=params)
response.raise_for_status()
json_response = response.json()
results = json_response.get("web", {}).get("results", [])
return [
SearchResult(
link=result["url"], title=result.get("title"), snippet=result.get("snippet")
)
for result in results[:count]
]
import json
import logging
import requests
from apps.rag.search.main import SearchResult
from config import SRC_LOG_LEVELS
log = logging.getLogger(__name__)
log.setLevel(SRC_LOG_LEVELS["RAG"])
def search_google_pse(
api_key: str, search_engine_id: str, query: str, count: int
) -> list[SearchResult]:
"""Search using Google's Programmable Search Engine API and return the results as a list of SearchResult objects.
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
"""
url = "https://www.googleapis.com/customsearch/v1"
headers = {"Content-Type": "application/json"}
params = {
"cx": search_engine_id,
"q": query,
"key": api_key,
"num": count,
}
response = requests.request("GET", url, headers=headers, params=params)
response.raise_for_status()
json_response = response.json()
results = json_response.get("items", [])
return [
SearchResult(
link=result["link"],
title=result.get("title"),
snippet=result.get("snippet"),
)
for result in results
]
from typing import Optional
from pydantic import BaseModel
class SearchResult(BaseModel):
link: str
title: Optional[str]
snippet: Optional[str]
import logging
import requests
from typing import List
from apps.rag.search.main import SearchResult
from config import SRC_LOG_LEVELS
log = logging.getLogger(__name__)
log.setLevel(SRC_LOG_LEVELS["RAG"])
def search_searxng(
query_url: str, query: str, count: int, **kwargs
) -> List[SearchResult]:
"""
Search a SearXNG instance for a given query and return the results as a list of SearchResult objects.
The function allows passing additional parameters such as language or time_range to tailor the search result.
Args:
query_url (str): The base URL of the SearXNG server.
query (str): The search term or question to find in the SearXNG database.
count (int): The maximum number of results to retrieve from the search.
Keyword Args:
language (str): Language filter for the search results; e.g., "en-US". Defaults to an empty string.
time_range (str): Time range for filtering results by date; e.g., "2023-04-05..today" or "all-time". Defaults to ''.
categories: (Optional[List[str]]): Specific categories within which the search should be performed, defaulting to an empty string if not provided.
Returns:
List[SearchResult]: A list of SearchResults sorted by relevance score in descending order.
Raise:
requests.exceptions.RequestException: If a request error occurs during the search process.
"""
# Default values for optional parameters are provided as empty strings or None when not specified.
language = kwargs.get("language", "en-US")
time_range = kwargs.get("time_range", "")
categories = "".join(kwargs.get("categories", []))
params = {
"q": query,
"format": "json",
"pageno": 1,
"language": language,
"time_range": time_range,
"categories": categories,
"theme": "simple",
"image_proxy": 0,
}
# Legacy query format
if "<query>" in query_url:
# Strip all query parameters from the URL
query_url = query_url.split("?")[0]
log.debug(f"searching {query_url}")
response = requests.get(
query_url,
headers={
"User-Agent": "Open WebUI (https://github.com/open-webui/open-webui) RAG Bot",
"Accept": "text/html",
"Accept-Encoding": "gzip, deflate",
"Accept-Language": "en-US,en;q=0.5",
"Connection": "keep-alive",
},
params=params,
)
response.raise_for_status() # Raise an exception for HTTP errors.
json_response = response.json()
results = json_response.get("results", [])
sorted_results = sorted(results, key=lambda x: x.get("score", 0), reverse=True)
return [
SearchResult(
link=result["url"], title=result.get("title"), snippet=result.get("content")
)
for result in sorted_results[:count]
]
import json
import logging
import requests
from apps.rag.search.main import SearchResult
from config import SRC_LOG_LEVELS
log = logging.getLogger(__name__)
log.setLevel(SRC_LOG_LEVELS["RAG"])
def search_serper(api_key: str, query: str, count: int) -> list[SearchResult]:
"""Search using serper.dev's API and return the results as a list of SearchResult objects.
Args:
api_key (str): A serper.dev API key
query (str): The query to search for
"""
url = "https://google.serper.dev/search"
payload = json.dumps({"q": query})
headers = {"X-API-KEY": api_key, "Content-Type": "application/json"}
response = requests.request("POST", url, headers=headers, data=payload)
response.raise_for_status()
json_response = response.json()
results = sorted(
json_response.get("organic", []), key=lambda x: x.get("position", 0)
)
return [
SearchResult(
link=result["link"],
title=result.get("title"),
snippet=result.get("description"),
)
for result in results[:count]
]
import json
import logging
import requests
from apps.rag.search.main import SearchResult
from config import SRC_LOG_LEVELS
log = logging.getLogger(__name__)
log.setLevel(SRC_LOG_LEVELS["RAG"])
def search_serpstack(
api_key: str, query: str, count: int, https_enabled: bool = True
) -> list[SearchResult]:
"""Search using serpstack.com's and return the results as a list of SearchResult objects.
Args:
api_key (str): A serpstack.com API key
query (str): The query to search for
https_enabled (bool): Whether to use HTTPS or HTTP for the API request
"""
url = f"{'https' if https_enabled else 'http'}://api.serpstack.com/search"
headers = {"Content-Type": "application/json"}
params = {
"access_key": api_key,
"query": query,
}
response = requests.request("POST", url, headers=headers, params=params)
response.raise_for_status()
json_response = response.json()
results = sorted(
json_response.get("organic_results", []), key=lambda x: x.get("position", 0)
)
return [
SearchResult(
link=result["url"], title=result.get("title"), snippet=result.get("snippet")
)
for result in results[:count]
]
{
"query": {
"original": "python",
"show_strict_warning": false,
"is_navigational": true,
"is_news_breaking": false,
"spellcheck_off": true,
"country": "us",
"bad_results": false,
"should_fallback": false,
"postal_code": "",
"city": "",
"header_country": "",
"more_results_available": true,
"state": ""
},
"mixed": {
"type": "mixed",
"main": [
{
"type": "web",
"index": 0,
"all": false
},
{
"type": "web",
"index": 1,
"all": false
},
{
"type": "news",
"all": true
},
{
"type": "web",
"index": 2,
"all": false
},
{
"type": "videos",
"all": true
},
{
"type": "web",
"index": 3,
"all": false
},
{
"type": "web",
"index": 4,
"all": false
},
{
"type": "web",
"index": 5,
"all": false
},
{
"type": "web",
"index": 6,
"all": false
},
{
"type": "web",
"index": 7,
"all": false
},
{
"type": "web",
"index": 8,
"all": false
},
{
"type": "web",
"index": 9,
"all": false
},
{
"type": "web",
"index": 10,
"all": false
},
{
"type": "web",
"index": 11,
"all": false
},
{
"type": "web",
"index": 12,
"all": false
},
{
"type": "web",
"index": 13,
"all": false
},
{
"type": "web",
"index": 14,
"all": false
},
{
"type": "web",
"index": 15,
"all": false
},
{
"type": "web",
"index": 16,
"all": false
},
{
"type": "web",
"index": 17,
"all": false
},
{
"type": "web",
"index": 18,
"all": false
},
{
"type": "web",
"index": 19,
"all": false
}
],
"top": [],
"side": []
},
"news": {
"type": "news",
"results": [
{
"title": "Google lays off staff from Flutter, Dart and Python teams weeks before its developer conference | TechCrunch",
"url": "https://techcrunch.com/2024/05/01/google-lays-off-staff-from-flutter-dart-python-weeks-before-its-developer-conference/",
"is_source_local": false,
"is_source_both": false,
"description": "Google told TechCrunch that Flutter will have new updates to share at I/O this year.",
"page_age": "2024-05-02T17:40:05",
"family_friendly": true,
"meta_url": {
"scheme": "https",
"netloc": "techcrunch.com",
"hostname": "techcrunch.com",
"favicon": "https://imgs.search.brave.com/N6VSEVahheQOb7lqfb47dhUOB4XD-6sfQOP94sCe3Oo/rs:fit:32:32:1/g:ce/aHR0cDovL2Zhdmlj/b25zLnNlYXJjaC5i/cmF2ZS5jb20vaWNv/bnMvZGI5Njk0Yzlk/YWM3ZWMwZjg1MTM1/NmIyMWEyNzBjZDZj/ZDQyNmFlNGU0NDRi/MDgyYjQwOGU0Y2Qy/ZWMwNWQ2ZC90ZWNo/Y3J1bmNoLmNvbS8",
"path": "› 2024 › 05 › 01 › google-lays-off-staff-from-flutter-dart-python-weeks-before-its-developer-conference"
},
"breaking": false,
"thumbnail": {
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"title": "Apple Inc. | History, Products, Headquarters, & Facts | Britannica",
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"question": "Is Apple and Apple Inc same?",
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"title": "Who Owns Apple In 2022? - FourWeekMBA",
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"question": "What products does Apple Inc offer?",
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