lollms/elf_docker_cfg/personal/configs/lollms_elf_config.yaml

# =================== Lord Of Large Language Multimodal Systems Configuration file =========================== 
version: 130
binding_name: null
model_name: null
model_variant: null
model_type: null

show_news_panel: true

# Security measures
turn_on_setting_update_validation: true
turn_on_code_execution: true
turn_on_code_validation: true
turn_on_open_file_validation: true
turn_on_send_file_validation: true
turn_on_language_validation: true

force_accept_remote_access: false

# Server information
headless_server_mode: false
allowed_origins: []

# Host information
host: localhost
port: 9600

app_custom_logo: ""

# Genreration parameters 
discussion_prompt_separator: "!@>"
start_header_id_template: "!@>"
end_header_id_template: ": "

separator_template: "\n"

start_user_header_id_template: "!@>"
end_user_header_id_template: ": "
end_user_message_id_template: ""

start_ai_header_id_template: "!@>"
end_ai_header_id_template: ": "
end_ai_message_id_template: ""

system_message_template: "system"
use_continue_message: true

seed: -1
ctx_size: 4084
max_n_predict: 4096
min_n_predict: 1024
temperature: 0.9
top_k: 50
top_p: 0.95
repeat_last_n: 40
repeat_penalty: 1.2
num_experts_per_token: 2

n_threads: 8

#Personality parameters
personalities: ["generic/lollms"]
active_personality_id: 0
override_personality_model_parameters: false #if true the personality parameters are overriden by those of the configuration (may affect personality behaviour) 

extensions: []

user_name: user
user_description: ""
use_user_name_in_discussions: false
use_model_name_in_discussions: false
user_avatar: null
use_user_informations_in_discussion: false

# UI parameters
discussion_db_name: default

# Automatic updates
debug: false
debug_show_final_full_prompt: false
debug_show_chunks: false

debug_log_file_path: ""
auto_update: true
auto_sync_personalities: true
auto_sync_extensions: true
auto_sync_bindings: true
auto_sync_models: true



auto_save: true
auto_title: false
# Install mode (cpu, cpu-noavx, nvidia-tensorcores, nvidia, amd-noavx, amd, apple-intel, apple-silicon)
hardware_mode: nvidia-tensorcores
# Automatically open the browser
auto_show_browser: true

# copy to clipboard 
copy_to_clipboard_add_all_details: false

# -------------------- Services global configurations --------------------------
# Select the active test to speach, text to image and speach to text services
active_tts_service: "None" # xtts (offline), openai_tts (API key required), elevenlabs_tts (API key required)
active_tti_service: "None" # autosd (offline), dall-e (online)
active_stt_service: "None" # whisper (offline), asr (offline or online), openai_whiosper (API key required)
active_ttm_service: "None" # musicgen (offline)
# -------------------- Services --------------------------

# ***************** STT *****************
stt_input_device: 0


# STT service
stt_listening_threshold: 1000
stt_silence_duration: 2
stt_sound_threshold_percentage: 10
stt_gain: 1.0 
stt_rate: 44100
stt_channels: 1
stt_buffer_size: 10

stt_activate_word_detection: false
stt_word_detection_file: null



# ASR STT service 
asr_enable: false
asr_base_url: http://localhost:9000

# openai_whisper configuration
openai_whisper_key: ""
openai_whisper_model: "whisper-1"


# whisper configuration
whisper_activate: false
whisper_model: base


# ***************** TTS *****************
tts_output_device: 0

# Voice service
auto_read: false
xtts_current_voice: null
xtts_current_language: en
xtts_stream_chunk_size: 100
xtts_temperature: 0.75
xtts_length_penalty: 1.0
xtts_repetition_penalty: 5.0
xtts_top_k: 50
xtts_top_p: 0.85
xtts_speed: 1
xtts_enable_text_splitting: true
xtts_freq: 22050

# openai_whisper configuration
openai_tts_key: ""
openai_tts_model: "tts-1"
openai_tts_voice: "alloy"


elevenlabs_tts_key: ""
elevenlabs_tts_model_id: "eleven_turbo_v2_5"
elevenlabs_tts_voice_stability: 0.5
elevenlabs_tts_voice_boost: 0.5
elevenlabs_tts_voice_id: EXAVITQu4vr4xnSDxMaL
# ***************** TTI *****************

use_negative_prompt: true
use_ai_generated_negative_prompt: false
negative_prompt_generation_prompt: Generate negative prompt for the following prompt. negative prompt is a set of words that describe things we do not want to have in the generated image.
default_negative_prompt: (((text))), (((ugly))), (((duplicate))), ((morbid)), ((mutilated)), out of frame, extra fingers, mutated hands, ((poorly drawn hands)), ((poorly drawn face)), (((mutation))), (((deformed))), blurry, ((bad anatomy)), (((bad proportions))), ((extra limbs)), cloned face, (((disfigured))), ((extra arms)), (((extra legs))), mutated hands, (fused fingers), (too many fingers), (((long neck))), ((watermark)), ((robot eyes))

# Image generation service
enable_sd_service: false
sd_base_url: http://localhost:7860

# Image generation service
enable_fooocus_service: false
fooocus_base_url: http://localhost:7860

# diffuser
diffusers_offloading_mode: sequential_cpu_offload # sequential_cpu_offload
diffusers_model: PixArt-alpha/PixArt-Sigma-XL-2-1024-MS

# Dall e service key
dall_e_key: ""
dall_e_generation_engine: "dall-e-3"

# Midjourney service key
midjourney_key: ""
midjourney_timeout: 300
midjourney_retries: 1

# Image generation service comfyui
enable_comfyui_service: false
comfyui_base_url: http://127.0.0.1:8188/
comfyui_model: v1-5-pruned-emaonly.ckpt

# Motion control service
enable_motion_ctrl_service: false
motion_ctrl_base_url: http://localhost:7861

# ***************** TTT *****************

# ollama service
enable_ollama_service: false
ollama_base_url: http://localhost:11434

# petals service
enable_petals_service: false
petals_base_url: http://localhost:8064
petals_model_path: TinyLlama/TinyLlama-1.1B-Chat-v1.0
petals_device: cuda

# lollms service
enable_lollms_service: false
lollms_access_keys : [] # set a list of keys separated by coma to restrict access
activate_lollms_server: true
activate_ollama_emulator: true
activate_openai_emulator: true
activate_mistralai_emulator: true

# elastic search service
elastic_search_service: false
elastic_search_url: http://localhost:9200

# vll service
enable_vllm_service: false
vllm_url: http://localhost:8000
vllm_model_path: TinyLlama/TinyLlama-1.1B-Chat-v1.0
vllm_gpu_memory_utilization: 0.9
vllm_max_model_len: 4096
vllm_max_num_seqs: 256


# Audio
media_on: false
audio_in_language: 'en-US'
auto_speak: false
audio_out_voice: null
audio_pitch: 1
audio_auto_send_input: true
audio_silenceTimer: 5000

# Data vectorization
rag_databases: [] # This is the list of paths to database sources. Each database is a folder containing data
rag_vectorizer: semantic # possible values semantic, tfidf, openai
rag_vectorizer_model: sentence-transformers/bert-base-nli-mean-tokens # The model name if applicable
rag_vectorizer_parameters: null # Parameters of the model in json format
rag_chunk_size: 512 # number of tokens per chunk
rag_overlap: 0 # number of tokens of overlap

rag_n_chunks: 4 #Number of chunks to recover from the database
rag_clean_chunks: true #Removed all uinecessary spaces and line returns
rag_follow_subfolders: true #if true the vectorizer will vectorize the content of subfolders too
rag_check_new_files_at_startup: false #if true, the vectorizer will automatically check for any new files in the folder and adds it to the database
rag_preprocess_chunks: false #if true, an LLM will preprocess the content of the chunk before writing it in a simple format
rag_activate_multi_hops: false #if true, we use multi hops algorithm to do multiple researches until the AI has enough data
rag_min_nb_tokens_in_chunk: 10 #this removed any useless junk ith less than x tokens
rag_max_n_hops: 3 #We set the maximum number of hop in multi hops rag

contextual_summary: false #If activated this will completely replace the rag and instead will use contextual summary

activate_skills_lib: false # Activate vectorizing previous conversations
skills_lib_database_name: "default" # Default skills database

max_summary_size: 512 # in tokens
data_vectorization_visualize_on_vectorization: false
data_vectorization_activate: true # To activate/deactivate data vectorization
data_vectorization_method: "tfidf_vectorizer" #"model_embedding" or "tfidf_vectorizer"
data_visualization_method: "PCA" #"PCA" or "TSNE"
data_vectorization_sentense_transformer_model: "all-MiniLM-L6-v2" # you can use another model by setting its name here or its path

data_vectorization_save_db: true # For each new session, new files
data_vectorization_chunk_size: 512 # chunk size
data_vectorization_overlap_size: 128 # overlap between chunks size
data_vectorization_nb_chunks: 2 # number of chunks to use
data_vectorization_put_chunk_informations_into_context: false # if true then each chunk will be preceded by its information which may waste some context space but allow the ai to point where it found th einformation
data_vectorization_build_keys_words: true # If true, when querrying the database, we use keywords generated from the user prompt instead of the prompt itself.
data_vectorization_force_first_chunk: false # If true, the first chunk of the document will systematically be used
data_vectorization_make_persistance: false # If true, the data will be persistant webween runs

# Activate internet search
activate_internet_search: false
activate_internet_pages_judgement: true
internet_vectorization_chunk_size: 512 # chunk size
internet_vectorization_overlap_size: 0 # overlap between chunks size
internet_vectorization_nb_chunks: 4 # number of chunks to use
internet_nb_search_pages: 8 # number of pages to select
internet_quick_search: false # If active the search engine will not load and read the webpages
internet_activate_search_decision: false # If active the ai decides by itself if it needs to do search
# Helpers
pdf_latex_path: null

# boosting information
positive_boost: null
negative_boost: null
current_language: english
fun_mode: false


# webui configurations
show_code_of_conduct: true
activate_audio_infos: true