config.py

import os
from dotenv import load_dotenv

load_dotenv()

# LLM Provider Configuration
LLM_PROVIDERS = {
    "openrouter": {
        "name": "OpenRouter",
        "base_url": "https://openrouter.ai/api/v1",
        "api_key_env": "OPENROUTER_API_KEY",
        "description": "Access to multiple models through OpenRouter",
        "supports_all_models": True
    },
    "anthropic": {
        "name": "Anthropic Direct",
        "base_url": "https://api.anthropic.com",
        "api_key_env": "ANTHROPIC_API_KEY", 
        "description": "Direct access to Claude models",
        "supports_all_models": False,
        "supported_models": ["anthropic/claude-sonnet-4", "anthropic/claude-3.5-sonnet-20241022", "anthropic/claude-3-sonnet-20240229", "anthropic/claude-3-haiku-20240307", "anthropic/claude-3-opus-20240229"]
    },
    "google": {
        "name": "Google AI Studio",
        "base_url": "https://generativelanguage.googleapis.com",
        "api_key_env": "GOOGLE_API_KEY",
        "description": "Direct access to Gemini models",
        "supports_all_models": False,
        "supported_models": ["google/gemini-2.5-pro-preview-05-06", "google/gemini-pro-vision"]
    }
}

# Default provider and model (can be None if no API key is set)
DEFAULT_PROVIDER = None
DEFAULT_MODEL = None

def get_api_key(provider):
    """Get API key for specified provider"""
    return os.getenv(LLM_PROVIDERS[provider]["api_key_env"])

def get_available_providers():
    """Get list of providers with valid API keys"""
    available = []
    for provider_id, provider_info in LLM_PROVIDERS.items():
        if get_api_key(provider_id):
            available.append(provider_id)
    return available

def get_models_for_provider(provider_id):
    """Get available models for a specific provider"""
    available_models = {}
    for model_id, model_info in AVAILABLE_MODELS.items():
        if provider_id in model_info.get("providers", []):
            available_models[model_id] = model_info
    return available_models

def get_default_provider_and_model():
    """Get default provider and model based on available API keys"""
    try:
        available_providers = get_available_providers()
        
        if not available_providers:
            return None, None
        
        # Prefer providers in order: anthropic, openrouter, google
        preferred_order = ["anthropic", "openrouter", "google"]
        
        selected_provider = None
        for provider in preferred_order:
            if provider in available_providers:
                selected_provider = provider
                break
        
        if not selected_provider:
            selected_provider = available_providers[0]
        
        # Get a recommended model for this provider
        available_models = get_models_for_provider(selected_provider)
        recommended_models = {k: v for k, v in available_models.items() if v.get("recommended", False)}
        
        if recommended_models:
            selected_model = list(recommended_models.keys())[0]
        elif available_models:
            selected_model = list(available_models.keys())[0]
        else:
            selected_model = None
        
        return selected_provider, selected_model
    except Exception:
        # If anything fails, return None values
        return None, None

# Available models for soil analysis (recommended for structured outputs)
AVAILABLE_MODELS = {
    # Claude Models (Excellent for technical analysis)
    "anthropic/claude-sonnet-4": {
        "name": "Claude-4.0 Sonnet",
        "description": "Latest Claude model with superior reasoning and technical analysis",
        "cost": "Medium",
        "recommended": True,
        "supports_images": True,
        "providers": ["openrouter", "anthropic"]
    },
    "anthropic/claude-3.5-sonnet-20241022": {
        "name": "Claude-3.5 Sonnet",
        "description": "Previous Claude model, excellent reasoning and technical analysis",
        "cost": "Medium",
        "recommended": True,
        "supports_images": True,
        "providers": ["openrouter", "anthropic"]
    },
    "anthropic/claude-3-sonnet-20240229": {
        "name": "Claude-3 Sonnet (Legacy)",
        "description": "Previous version, balanced performance",
        "cost": "Medium",
        "recommended": False,
        "supports_images": True,
        "providers": ["openrouter", "anthropic"]
    },
    "anthropic/claude-3-haiku-20240307": {
        "name": "Claude-3 Haiku", 
        "description": "Faster and cheaper, good for basic analysis",
        "cost": "Low",
        "recommended": False,
        "supports_images": True,
        "providers": ["openrouter", "anthropic"]
    },
    "anthropic/claude-3-opus-20240229": {
        "name": "Claude-3 Opus",
        "description": "Most capable legacy model, best for complex analysis",
        "cost": "High", 
        "recommended": True,
        "supports_images": True,
        "providers": ["openrouter", "anthropic"]
    },
    
    # GPT Models (Good structured output)
    "openai/gpt-4-turbo": {
        "name": "GPT-4 Turbo",
        "description": "Fast and capable, good JSON output",
        "cost": "Medium",
        "recommended": True,
        "supports_images": True,
        "providers": ["openrouter"]
    },
    "openai/gpt-3.5-turbo": {
        "name": "GPT-3.5 Turbo",
        "description": "Fast and cheap, basic analysis",
        "cost": "Low",
        "recommended": False,
        "supports_images": False,
        "providers": ["openrouter"]
    },
    
    # Specialized Models
    "meta-llama/llama-3.1-70b-instruct": {
        "name": "Llama-3.1 70B",
        "description": "Open source, good performance",
        "cost": "Low",
        "recommended": False,
        "supports_images": False,
        "providers": ["openrouter"]
    },
    "mistralai/mixtral-8x7b-instruct": {
        "name": "Mixtral 8x7B",
        "description": "Good multilingual support",
        "cost": "Low", 
        "recommended": False,
        "supports_images": False,
        "providers": ["openrouter"]
    },
    
    # xAI Models
    "x-ai/grok-3-beta": {
        "name": "xAI Grok 3",
        "description": "Latest xAI model with advanced reasoning capabilities (text-only)",
        "cost": "Medium",
        "recommended": True,
        "supports_images": False,
        "providers": ["openrouter"]
    },
    
    # Google Models
    "google/gemini-2.5-pro-preview-05-06": {
        "name": "Gemini 2.5 Pro Preview",
        "description": "Latest Google Gemini model with advanced multimodal capabilities",
        "cost": "Medium",
        "recommended": True,
        "supports_images": True,
        "providers": ["openrouter", "google"]
    },
    "google/gemini-pro-vision": {
        "name": "Gemini Pro Vision",
        "description": "Google's multimodal model optimized for vision tasks",
        "cost": "Medium",
        "recommended": False,
        "supports_images": True,
        "providers": ["openrouter", "google"]
    }
}

SOIL_TYPES = {
    "clay": ["soft clay", "medium clay", "stiff clay", "very stiff clay", "hard clay"],
    "sand": ["loose sand", "medium dense sand", "dense sand", "very dense sand"],
    "silt": ["soft silt", "medium silt", "stiff silt"],
    "gravel": ["loose gravel", "dense gravel"],
    "rock": ["weathered rock", "soft rock", "hard rock"]
}

STRENGTH_PARAMETERS = {
    "clay": "Su (kPa)",
    "sand": "SPT-N",
    "silt": "SPT-N", 
    "gravel": "SPT-N",
    "rock": "UCS (MPa)"
}