v0.6

Migrated to aiogram==3.1.1, pydantic==2.4.0, if you want to keep old pydantic, use aiogram==3.0.0b7.
WebUI made with Vue is available! Run it with dashboard.py
Configuration preset switching in WebUI, to change path of default .env file, use --env on dashboard.py, additional configuration files should are stored with .env extension in env directory.
New configuration options: sys_webui_host, sys_api_host, sys_request_timeout, sys_api_log_level
Fixed TTS initialization failing when threaded mode was off
Fixed memory manager initialization
For model configuration UI the path_to_llama_cpp_weights_dir key has been added to llm_paths
Reply context (1-step memory) can now be toggled with llm_assistant_add_reply_context option
Configuration hints are available in the WebUI.
Model manager in the WebUI can be used to download and set up models. A few types of models are initially supported.

v0.5

tts_enable_so_vits_svc config option has been removed in favor of tts_enable_backends.
tts_so_vits_svc_base_tts_provider config option has been removed, you only need base voice from now on.

so-vits-svc-4.1 support
experimental memory manager (now supports all models except LLMs with pytorch backend)

tts_so_vits_svc_code_path config option has been renamed to tts_so_vits_svc_4_0_code_path, and tts_so_vits_svc_4_1_code_path option was added to support so-vits-svc-4.1 models, to specify that the model is a 4.1 mode, use "v": 4.1 in tts_so_vits_svc_voices.
llm_host has ben fixed in .env.example file, llm_ob_host has been removed

Basic config state reactivity (runtime config changes in bot are reflected in .env)
Fixed SD model info retrieval and reinitialization
Global module accessibility milestone 2
Experimental multi-line dialog answer support
Speech-to-text via Whisper.cpp, Silero an Wav2Vec2
Seamless dialog mode voice->text->llm->voice
Text-to-audio via Audiocraft

MinChatGPTChronicler and GPT4AllChronicler were removed Default assistant chronicler becomes instruct, alpaca name is kept for a limited time for backwards compatibility
llm_ob_host has been renamed to llm_host
llm_active_model_type has been deprecated and replaced by two new keys: llm_backend and llm_python_model_type (when backend is pytorch)
In llm_python_model_type option cerebras_gpt has been renamed to auto_hf
path_to_cerebras_weights has been renamed to path_to_autohf_weights
sd_available_loras has been deprecated, lora API endpoint is used

initial version with incremental changes and full backwards compatibility with previous commits