# Core Python vides mainīgie

# Maris publicēšana un treniņš
MARIS_REPO_TOKEN=your_maris_repo_token_here
# Neobligāti Hugging Face standarta token aliasi privātiem/custom repo Railway vidē
# HF_TOKEN=your_huggingface_token_here
# HUGGING_FACE_HUB_TOKEN=your_huggingface_token_here
# HUGGINGFACEHUB_API_TOKEN=your_huggingface_token_here
MARIS_MEMORY_REPO=MarisUK/maris-ai-memory
MARIS_GLOBAL_MEMORY_REPO=MarisUK/maris-ai-memory
MARIS_EVAL_DATASET_REPO=MarisUK/maris-ai-evals
MARIS_BENCHMARK_DATASET_REPO=MarisUK/maris-ai-benchmark
MARIS_MODEL_REPO=MarisUK/maris-ai-master
MARIS_AGENT_SPACE_REPO=MarisUK/maris.ai.agent
MARIS_HUMAN_TRAINING_SPACE_REPO=MarisUK/maris.ai.human.training
MARIS_AGENT_MODEL=MarisUK/maris-ai-master
# Papildu aģenta fallback modeļi, kurus Space var izmantot, ja primārais modelis neatbild
MARIS_AGENT_FALLBACK_MODELS=Qwen/Qwen3-Coder-480B-A35B-Instruct
# Neobligāti UI dropdown modeļi aģentam
# MARIS_AGENT_MODELS=Qwen/Qwen3-Coder-480B-A35B-Instruct,Qwen/Qwen3-880B-Instruct
MARIS_TRAIN_CONFIG_PATH=../huggingface/training-config.json
MARIS_TRAIN_MODEL_PRESET=balanced
# Neobligāti papildu training preset'i lieliem ārējiem modeļiem (JSON formātā vai owner/name sarakstā)
# MARIS_TRAIN_EXTRA_MODELS={"qwen-880b":{"model_name":"Qwen/Qwen3-880B-Instruct","label":"Qwen ultra preset","description":"Liels ārējs preset 880B klases modeļiem."}}
# MARIS_TRAIN_EXTRA_MODELS=Qwen/Qwen3-Coder-480B-A35B-Instruct,coder-7b=Qwen/Qwen2.5-7B-Instruct
MARIS_TRAIN_OUTPUT_DIR=./output/model
MARIS_TRAIN_PUBLISH=false
MARIS_TRAIN_SCORING_ENABLED=true
MARIS_TRAIN_WEIGHTED_REPETITION_ENABLED=true
MARIS_TRAIN_MEDIUM_SCORE_REPEAT_COUNT=2
MARIS_TRAIN_HIGH_SCORE_REPEAT_COUNT=3
MARIS_TRAIN_SOURCE_WEIGHTING_ENABLED=true
# MARIS_TRAIN_SOURCE_WEIGHT_MAP={"production":1.3,"synthetic":1.0,"noisy":0.65,"unknown":1.0}
MARIS_TRAIN_MAX_EFFECTIVE_REPEAT_COUNT=6
MARIS_TRAIN_BENCHMARK_FEEDBACK_ENABLED=true
MARIS_TRAIN_BENCHMARK_FEEDBACK_AUTO_DISCOVER=true
# MARIS_TRAIN_BENCHMARK_FEEDBACK_PATH=./output/previous-run/benchmark-feedback.json
MARIS_TRAIN_BENCHMARK_FEEDBACK_BOOST_SCALE=2.0
MARIS_TRAIN_BENCHMARK_FEEDBACK_MAX_MULTIPLIER=1.75
# Persistent treniņiem: turpini no pēdējā lokālā artefakta
# MARIS_TRAIN_CONTINUE_FROM_LATEST=true
# MARIS_TRAIN_CONTINUE_MODEL_PATH=./output/model

# Specialist modeļi (norādi tikai Maris AI modeļus; pārraksti tikai, ja vajag citu repo)
# Galvenais frontend čata /chat modelis
TEXT_MODEL=MarisUK/maris-ai-text
# Railway/runtime override galvenajam čatam ar jebkuru Hugging Face modeli
# MARIS_RUNTIME_TEXT_MODEL=Qwen/Qwen2.5-7B-Instruct
IMAGE_MODEL=MarisUK/maris-ai-image
MUSIC_MODEL=MarisUK/maris-ai-music
TTS_MODEL=MarisUK/maris-tts-runtime
STT_MODEL=MarisUK/maris-stt-runtime
VIDEO_MODEL=MarisUK/maris-ai-video
# Railway runtime tagad pieņem arī jebkuru citu owner/name Hugging Face repo visiem augstāk minētajiem modeļiem
# IMAGE_MODEL=stabilityai/stable-diffusion-2-1
# MUSIC_MODEL=facebook/musicgen-small
# TTS_MODEL=microsoft/speecht5_tts
# STT_MODEL=openai/whisper-small
# VIDEO_MODEL=THUDM/CogVideoX-2b

# LiveKit realtime voice assistant
LIVEKIT_URL=wss://your-livekit-host
LIVEKIT_API_KEY=your_livekit_key
LIVEKIT_API_SECRET=your_livekit_secret
MARIS_LIVEKIT_ROOM_PREFIX=maris-voice
MARIS_LIVEKIT_AGENT_NAME=maris-livekit-agent
MARIS_VOICE_STT_PROVIDER=speechmatics
MARIS_VOICE_LLM_PROVIDER=maris-stream
MARIS_VOICE_TTS_PROVIDER=azure
MARIS_VOICE_VAD_PROVIDER=silero
MARIS_VOICE_ALLOW_BARGE_IN=true

# Servera konfigurācija
PORT=8000
LOG_LEVEL=INFO
HF_HUB_DISABLE_XET=1