core/ai_gateway.py

from abc import ABC, abstractmethod
from typing import Dict, Any, Optional
from enum import Enum
import asyncio
import logging
import os
import requests
import json

logger = logging.getLogger(__name__)

class ModelType(Enum):
    TEXT_GENERATION = "text_generation"
    IMAGE_GENERATION = "image_generation"
    EMBEDDING = "embedding"

class ModelProvider(Enum):
    LOCAL_LLAMA = "local_llama"
    LOCAL_MISTRAL = "local_mistral"
    API_OPENAI = "api_openai"
    LOCAL_STABLE_DIFFUSION = "local_stable_diffusion"

class BaseModel(ABC):
    @abstractmethod
    async def generate(self, prompt: str, **kwargs) -> str:
        pass

class MockLlamaModel(BaseModel):
    def __init__(self, model_path: str):
        self.model_path = model_path
        logger.info(f"Initialized mock Llama model with path: {model_path}")

    async def generate(self, prompt: str, max_length: int = 512, **kwargs) -> str:
        # Simulate model response for demonstration
        return f"Mock response to: {prompt[:50]}... [Truncated for demo]"

class MockMistralModel(BaseModel):
    def __init__(self, model_path: str):
        self.model_path = model_path
        logger.info(f"Initialized mock Mistral model with path: {model_path}")

    async def generate(self, prompt: str, max_length: int = 512, **kwargs) -> str:
        # Simulate model response for demonstration
        return f"Mistral-style response to: {prompt[:50]}... [Truncated for demo]"

class MockStableDiffusionModel(BaseModel):
    def __init__(self):
        logger.info("Initialized mock Stable Diffusion model")

    async def generate(self, prompt: str, **kwargs) -> str:
        # Simulate image generation for demonstration
        return f"Mock image generated for prompt: {prompt[:50]}... [Truncated for demo]"

class AIGateway:
    def __init__(self):
        self.models = {}
        self._initialize_models()
    
    def _initialize_models(self):
        """Initialize available models"""
        try:
            # In a real implementation, we would load actual models
            # For this demo, we'll use mock implementations
            self.models[ModelProvider.LOCAL_LLAMA] = MockLlamaModel("llama-model-path")
            self.models[ModelProvider.LOCAL_MISTRAL] = MockMistralModel("mistral-model-path")
            self.models[ModelProvider.LOCAL_STABLE_DIFFUSION] = MockStableDiffusionModel()
            logger.info("AI Gateway initialized with mock models")
        except Exception as e:
            logger.error(f"Error initializing models: {e}")
    
    async def generate_text(
        self, 
        prompt: str, 
        provider: ModelProvider = ModelProvider.LOCAL_LLAMA,
        **kwargs
    ) -> str:
        """
        Generate text using the specified provider
        """
        if provider not in self.models:
            raise ValueError(f"Model provider {provider} not available")
        
        model = self.models[provider]
        logger.info(f"Generating text using {provider.value}")
        
        try:
            result = await model.generate(prompt, **kwargs)
            logger.info(f"Generated {len(result)} characters")
            return result
        except Exception as e:
            logger.error(f"Error generating text: {e}")
            raise
    
    async def generate_image(
        self,
        prompt: str,
        **kwargs
    ) -> str:
        """
        Generate image using the image generation model
        """
        model = self.models[ModelProvider.LOCAL_STABLE_DIFFUSION]
        logger.info("Generating image")
        
        try:
            result = await model.generate(prompt, **kwargs)
            logger.info("Image generated successfully")
            return result
        except Exception as e:
            logger.error(f"Error generating image: {e}")
            raise
    
    async def route_request(
        self, 
        prompt: str, 
        preferred_provider: Optional[ModelProvider] = None,
        fallback_providers: Optional[list] = None
    ) -> str:
        """
        Route request with fallback mechanism
        """
        providers_to_try = []
        
        if preferred_provider:
            providers_to_try.append(preferred_provider)
        
        if fallback_providers:
            providers_to_try.extend(fallback_providers)
        else:
            # Default fallback order
            providers_to_try.extend([
                ModelProvider.LOCAL_LLAMA,
                ModelProvider.LOCAL_MISTRAL
            ])
        
        for provider in providers_to_try:
            try:
                return await self.generate_text(prompt, provider)
            except Exception as e:
                logger.warning(f"Provider {provider.value} failed: {e}")
                continue
        
        raise RuntimeError("All providers failed")