Initial commit for deployment

2025-05-09 15:41:16 +01:00
commit ac98999507
54 changed files with 4343 additions and 0 deletions
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+"""
+Service for model management and interaction.
+"""
+
+from typing import List, Dict, Any, Optional
+from app.config.config import Config
+
+class ModelService:
+    """Service for model management and interaction."""
+    
+    # Available models
+    AVAILABLE_MODELS = {
+        'gpt-3.5-turbo': {
+            'name': 'GPT-3.5 Turbo',
+            'description': 'OpenAI GPT-3.5 Turbo model',
+            'provider': 'openai',
+            'max_tokens': 4096
+        },
+        'gpt-4': {
+            'name': 'GPT-4',
+            'description': 'OpenAI GPT-4 model',
+            'provider': 'openai',
+            'max_tokens': 8192
+        },
+        # Add more models as needed
+    }
+    
+    def __init__(self, config: Config = None):
+        """
+        Initialize the model service.
+        
+        Args:
+            config: Configuration object.
+        """
+        self.config = config or Config()
+        self.default_model = self.config.DEFAULT_MODEL
+    
+    def get_available_models(self) -> List[Dict[str, Any]]:
+        """
+        Get a list of available models.
+        
+        Returns:
+            List of model information dictionaries.
+        """
+        models = []
+        for model_id, model_info in self.AVAILABLE_MODELS.items():
+            model_data = {
+                'id': model_id,
+                'is_default': model_id == self.default_model,
+                **model_info
+            }
+            models.append(model_data)
+        
+        return models
+    
+    def get_model_info(self, model_id: str) -> Optional[Dict[str, Any]]:
+        """
+        Get information about a specific model.
+        
+        Args:
+            model_id: ID of the model.
+            
+        Returns:
+            Model information dictionary if found, None otherwise.
+        """
+        if model_id not in self.AVAILABLE_MODELS:
+            return None
+        
+        return {
+            'id': model_id,
+            'is_default': model_id == self.default_model,
+            **self.AVAILABLE_MODELS[model_id]
+        }
+    
+    def generate_response(self, model_id: str, prompt: str, 
+                         context: Optional[List[Dict[str, str]]] = None) -> str:
+        """
+        Generate a response from the model.
+        
+        Args:
+            model_id: ID of the model to use.
+            prompt: User prompt.
+            context: Optional conversation context.
+            
+        Returns:
+            Generated response.
+        """
+        # TODO: Implement actual model integration
+        # This is a placeholder that will be implemented in the next steps
+        
+        if model_id not in self.AVAILABLE_MODELS:
+            model_id = self.default_model
+        
+        # Placeholder response
+        return f"This is a placeholder response from {self.AVAILABLE_MODELS[model_id]['name']}. The actual model integration will be implemented in the next steps."