v1.0.0
ChatGPTNextWeb/NextChatv1.0.0Feb 4, 2025by t41372
AI Summary
This release represents a complete rewrite of the backend and frontend, transforming the application into a VTuber platform with vision capabilities, desktop pet mode, and support for various LLMs including DeepSeek R1.
Key Highlights
- Vision capability for video chat
- Desktop Pet Mode
- Brand new frontend (Web/Desktop/Pet modes)
- New LLM support (Ollama, OpenAI, Gemini, Claude, etc.)
- DeepSeek R1 reasoning model support
Breaking Changes
- Direct upgrades from older versions are impossible due to architectural changes
- Configuration schema changes (renaming config_alts to characters)
- Removal of CLI mode (main.py) and 'exit word'
- Removal of legacy dependencies and unused configuration options
New Features
- Vision capability for video chat
- Desktop Pet Mode
- New Frontend built with React, Electron, and Vite
- Chat history management system
- New LLM providers including DeepSeek R1
- TTS concurrency and preprocessor
- Sherpa-onnx ASR (SenseVoiceSmall) as default
Full Release Notes
# Open-LLM-VTuber v1.0.1 Release 💥
This release marks a significant milestone for Open-LLM-VTuber, featuring a complete rewrite of the backend and frontend with over 240+ new commits, along with numerous enhancements and new features. If you were using a version before this, version `v1.0.0` is basically a new app.
⚠️ Direct upgrades from older versions are impossible due to architectural changes. Please refer to our **[new documentation site](https://open-llm-vtuber.github.io/docs/intro)** for installation.
(v1.0.0 had a bug after the release, so let's just ignore that and have the v1.0.1)
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## ✨ Highlights
* **Vision Capability:** Video chat with the AI.
* **Desktop Pet Mode:** A new Desktop Pet Mode lets you have your VTuber companion directly on your desktop.
* **Brand New Frontend:** A completely redesigned frontend built with React, ChakuraUI, and Vite offers a modern user experience. Available as web and desktop apps, located in the [Open-LLM-VTuber-Web](https://github.com/Open-LLM-VTuber/Open-LLM-VTuber-Web) repository.
* **Chat History Management:** Implemented a system to store and retrieve conversation history, enabling persistent interactions with your AI.
* **New LLM support:** Many new (stateless) LLM providers are now supported (and refactored), including Ollama, OpenAI, Gemini, Claude, Mistral, DeepSeek, Zhipu, and llama.cpp.
* **DeepSeek R1 Reasoning model support**: The reasoning chain will be displayed but not spoken. See your waifu's inner thoughts!
* **Major Backend Rewrite:** The core of Open-LLM-VTuber has been rebuilt from the ground up, focusing on asynchronous operations, improved memory management, and a more modular architecture.
* **Refactored Configuration:** The `conf.yaml` file was restructured, and `config_alts` has been renamed to `characters`.
* **TTS Preprocessor**: Text inside `asterisks`, `brackets`, `parentheses`, and `angle brackets` will no longer be spoken by the TTS.
* **Dependency management:** Switched to `uv` for dependency management, removed unused dependencies such as `rich`, `playsound3`, and `sounddevice`.
* **Documentation Site:** A comprehensive documentation site is now live at [https://open-llm-vtuber.github.io/](https://open-llm-vtuber.github.io/).
## 📋 Detailed Changes
### 🧮 Backend
* **Architecture:**
* The project structure has been reorganized to use the `src/` directory.
* The backend is now fully asynchronous, improving responsiveness.
* CLI mode (`main.py`) has been removed.
* The "exit word" has been removed.
* Models are initialized and managed using `ServiceContext`, offering better memory management, particularly when switching characters.
* Refactored LLMs into `agent` and `stateless_llm`, supporting a wider range of LLMs with a new agent interface: `basic_memory_agent` and `hume_ai_agent`.
* **LLM (Language Model) Enhancements:**
* New (and old but refactored) providers: Ollama, OpenAI (and any OpenAI Compatible API), Gemini, Claude, Mistral, DeepSeek, Zhipu, llama.cpp.
* `temperature` parameter added.
* No more tokens will be generated after interruption, improving the responsiveness of voice interruption.
* Ollama models are preloaded at startup, kept in memory for the server's duration, and unloaded at exit.
* Added a `hf_mirror` flag to specify whether to use the Hugging Face mirror source.
* **TTS (Text-to-Speech) Enhancements:**
* TTS now generates multiple audio segments concurrently and sends them sequentially, reducing latency.
* New interruption logic for smoother transitions.
* Added filters (`asterisks`, `brackets`, `parentheses`) to prevent unwanted text from being spoken.
* Implemented `faster_first_response` feature to prioritize the synthesis and playback of the first sentence fragment, minimizing latency.
* **ASR (Automatic Speech Recognition) Enhancements:**
* Made Sherpa-onnx ASR with the **SenseVoiceSmall int8** model the default for both English and Chinese presets, with automatic model download.
* Added a `provider` option for sherpa-onnx-asr.
* **Other Improvements:**
* Chat log persistence is used to maintain conversation history.
* All `print` statements are replaced with `loguru` for structured logging.
* Added a Chinese configuration preset: `conf.CN.yaml`.
* Basic AI proactive speaking (experimental).
* Added some checks in the CI/CD process
* Added input/output type system to agents
* Added **Tencent Translate** in https://github.com/Open-LLM-VTuber/Open-LLM-VTuber/pull/107
### 🖥️ Frontend
* **New frontend built with Electron, React, ChakuraUI, and Vite.**
* **Multi-Mode in Single Codebase:**
* Web Mode: Browser interface
* Window Mode: Desktop window
* Pet Mode: Transparent desktop companion
* Seamless context sharing between Window and Pet modes, allowing for the preservation of settings, history, connections, and model states.
* **Enhanced UI Features**
* Responsive layout with collapsible sidebar and footer
* Customizable Live2D model interactions: Mouse tracking for eye movement, Click-triggered animations, Drag & resize capabilities.
* Persistent local storage for user preference settings, including background, VAD configuration, Live2D size and interactions, and agent behavior.
* Supports viewing, loading, and deleting conversation history with streaming subtitles.
* (Electron pet-mode) A transparent, always-on-top desktop companion with click-through, non-interactive areas featuring draggable and hideable Live2D and UI, right-click menu controls.
* Camera and screen capturing panel
* Switch characters easily
### 📖 Documentation
* Rewritten README file.
* New comprehensive documentation with a dedicated website.
### 🧹 Cleanup
* Removed unused and legacy code, including `TaskQueue.py`, `scripts/install_piper_tts.py`, `model_manager_old.py`, `service_context_old.py`, `main.py`, `asr_with_vad`, `vad`, `start_cli`, `fake_llm`, `MemGPT`, the `pywhispercpp` submodule, and CoreML script.
* Removed unused dependencies: `rich`, `playsound3`, `sounddevice`, among others.
* Removed configuration options that are no longer relevant: `VOICE_INPUT_ON`, `MIC_IN_BROWSER`, `LIVE2D`, `EXTRA_SYSTEM_PROMPT_RAG`, `AI_NAME`, `USER_NAME`, `SAVE_CHAT_HISTORY`, `CHAT_HISTORY_DIR`, `RAG_ON`, `LLMASSIST_RAG_ON`, `SAY_SENTENCE_SEPARATELY`, `MEMORY_SNAPSHOT`, `PRELOAD_MODELS`, `tts_on`.
## ⚠️⚠️⚠️ Critical Upgrade Notice
1. No Direct Upgrades - Previous installations are incompatible
2. Fresh Install Required - Follow new documentation
3. Config Changes - Back up existing configurations before migration
### Why the Hassle? 💡
1. UV dependency manager replaces legacy systems
2. Complete configuration schema overhaul
Please check out the [new documentation](https://open-llm-vtuber.github.io/docs/quick-start/) to install Open-LLM-VTuber again. Fortunately, thanks to `uv,` there should be fewer headaches during installation.
## 🎉 Contributors
- @t41372, which is me
- @ylxmf2005, the creator of the new frontend, implemented LLM vision capability, chat history management, TTS concurrency, hume AI agent, better sentence division, a better live2d configuration, countless bug fixes, and more. He also wrote the majority of the documentation and provided countless insights. The version `v1.0.0` was a close collaboration with him and wouldn't have existed without his tremendous contribution.
- @Stewitch, who added the hf_mirror option and is currently working on a launcher for this project to streamline the installation and configuration process. It's still a work in progress but will be completed very soon. https://github.com/Stewitch/LiZhen
- @Fluchw, who added Tecent translator and helped us fix the translator bug.
And all the other contributors who worked on this project in previous versions.
**Full Changelog**: https://github.com/Open-LLM-VTuber/Open-LLM-VTuber/compare/v0.5.2...v1.0.0
## Faster download links for Chinese users 给内地用户准备的(相对)快速的下载链接
Open-LLM-VTuber-v1.0.3.zip (包含 sherpa onnx asr 的 sense-voice 模型，就不用再从github上拉取了)
- https://pub-17317087be374bc68161ac63de2022a5.r2.dev/v1.0.3/Open-LLM-VTuber-v1.0.3.zip
open-llm-vtuber-electron-1.0.0-frontend.exe (桌面版前端，Windows)
- https://pub-17317087be374bc68161ac63de2022a5.r2.dev/v1.0.3/open-llm-vtuber-electron-1.0.0-setup.exe
open-llm-vtuber-electron-1.0.0-frontend.dmg (桌面版前端，macOS)
- https://pub-17317087be374bc68161ac63de2022a5.r2.dev/v1.0.3/open-llm-vtuber-electron-1.0.0.dmg