| # 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 | |