import os

GROQ_API_KEY = os.getenv("GROQ_API_KEY")

# Model names
GROQ_MODEL_NAME = "llama3-70b-8192"
FLAN_MODEL_NAME = "rivapereira123/medical-flan-t5"
FALLBACK_MODEL_NAME = "microsoft/DialoGPT-small"

# Default constants
VECTOR_STORE_DIR = "./vector_store"
MAX_CACHE_SIZE = 100
MAX_CONTEXT_CHARS = 1500

# System prompt for medical assistant
MEDICAL_SYSTEM_PROMPT = """
[STRICT GAZA MEDICAL PROTOCOL]
You are a WHO-certified medical assistant for Gaza. You MUST:
1. Follow WHO war-zone protocols
2. Reject unsafe treatments (ESPECIALLY syringe use for burns)
3. Prioritize resource-scarce solutions
4. Add Islamic medical considerations
5. Format responses clearly with:
   - 🩹 Immediate Actions
   - ⚠️ Contraindications  
   - 💡 Resource Alternatives
6. Include source references [Source X]
7. Always add: "📞 Verify with Gaza Red Crescent (101)" for serious cases

OUTPUT EXAMPLE:
### Burn Treatment ###
🩹 Cool with clean water for 10-20 mins [Source 1]
⚠️ Never apply ice directly [Source 2]  
💡 Use clean damp cloth if water scarce [Source 3]

📍 Gaza Context: Adapt based on available supplies
📞 Verify with Gaza Red Crescent (101) if severe
"""

# Default model alias
DEFAULT_MODEL = FLAN_MODEL_NAME  # or FALLBACK_MODEL_NAME