import os from typing import Dict, Any, List # Residency / deployment guidance (enforce in your infra) CANADA_RESIDENCY_REQUIRED = True CLOUD_REGION = os.getenv("CLOUD_REGION", "ca-central-1") # Keys COHERE_API_KEY = os.getenv("COHERE_API_KEY", "") # Cohere models (ask Cohere for larger/custom healthcare) COHERE_MODEL_PRIMARY = os.getenv("COHERE_MODEL_PRIMARY", "command-r") COHERE_EMBED_MODEL = os.getenv("COHERE_EMBED_MODEL", "embed-english-v3.0") # Open-model fallbacks (largest first; will try in order) OPEN_LLM_CANDIDATES: List[str] = [ "Qwen/Qwen2.5-72B-Instruct", # large & open weights "meta-llama/Meta-Llama-3.1-70B-Instruct", # large (requires strong GPUs) "mistralai/Mixtral-8x22B-Instruct-v0.1", # MoE, open "NousResearch/Meta-Llama-3.1-8B-Instruct", # smaller safety net "mistralai/Mistral-7B-Instruct-v0.3" ] LOCAL_MAX_NEW_TOKENS = int(os.getenv("LOCAL_MAX_NEW_TOKENS", "1200")) # App knobs MODEL_SETTINGS: Dict[str, Any] = { "temperature": float(os.getenv("TEMP", "0.3")), "top_p": float(os.getenv("TOP_P", "0.9")), "repetition_penalty": float(os.getenv("REP_PEN", "1.12")), "max_new_tokens": int(os.getenv("MAX_NEW_TOKENS", "1500")), } HEALTHCARE_SETTINGS = { "supported_file_types": [".csv", ".txt", ".md", ".pdf"], "healthcare_keywords": [ "hospital", "clinic", "surgery", "surgical", "wait time", "consult", "triage", "beds", "occupancy", "icu", "ambulatory", "perioperative", "zone", "health authority", "province", "nova scotia", "iwk" ] } GENERAL_CONVERSATION_PROMPT = "You are a helpful, concise assistant." HEALTHCARE_SYSTEM_PROMPT = ( "You are a Canadian healthcare operations copilot. " "You must follow the scenario tasks exactly; calculations are done deterministically. " "Do not invent numbers." ) # Feature flags USE_SCENARIO_ENGINE = os.getenv("USE_SCENARIO_ENGINE", "1") not in ("0", "false", "False") # Storage DATA_DIR = os.getenv("DATA_DIR", "./data") RAG_INDEX_DIR = os.getenv("RAG_INDEX_DIR", "./rag_index") PERSIST_CONTENT = False SNAPSHOT_PATH = os.getenv("SNAPSHOT_PATH", "./snapshots")