Initial commit.

Basic docker deployment with Local LLM integration and simple game state.

llm_client.py

@@ -0,0 +1,87 @@
+#!/usr/bin/env python3
+"""
+LLM client for communicating with LM Studio.
+"""
+
+
+import requests
+import json
+
+
+class LLMClient:
+    """Client for communicating with LM Studio."""
+    
+    def __init__(self, config):
+        """Initialize the LLM client.
+        
+        Args:
+            config (Config): Configuration object
+        """
+        self.config = config
+        self.session = requests.Session()
+        self.session.timeout = self.config.REQUEST_TIMEOUT
+    
+    def get_response(self, messages):
+        """Get a response from the LLM.
+        
+        Args:
+            messages (list): List of message dictionaries
+            
+        Returns:
+            str: The LLM response text
+        """
+        try:
+            # Prepare the request payload
+            payload = {
+                "model": self.config.DEFAULT_MODEL,
+                "messages": messages,
+                "temperature": self.config.TEMPERATURE,
+                "max_tokens": self.config.MAX_TOKENS
+            }
+            
+            # Send request to LM Studio
+            response = self.session.post(
+                self.config.get_chat_completions_url(),
+                headers={"Content-Type": "application/json"},
+                data=json.dumps(payload)
+            )
+            
+            # Raise an exception for bad status codes
+            response.raise_for_status()
+            
+            # Parse the response
+            response_data = response.json()
+            
+            # Extract the assistant's message
+            assistant_message = response_data["choices"][0]["message"]["content"]
+            
+            return assistant_message
+            
+        except requests.exceptions.RequestException as e:
+            raise Exception(f"Error communicating with LM Studio: {e}")
+        except (KeyError, IndexError) as e:
+            raise Exception(f"Error parsing LM Studio response: {e}")
+        except json.JSONDecodeError as e:
+            raise Exception(f"Error decoding JSON response: {e}")
+    
+    def test_connection(self):
+        """Test the connection to LM Studio.
+        
+        Returns:
+            bool: True if connection successful, False otherwise
+        """
+        try:
+            # Try to get available models (simple connection test)
+            response = self.session.get(f"{self.config.get_api_url()}/models")
+            response.raise_for_status()
+            return True
+        except requests.exceptions.RequestException:
+            return False
+    
+    def update_model(self, model_name):
+        """Update the model used for completions.
+        
+        Args:
+            model_name (str): Name of the model to use
+        """
+        self.config.DEFAULT_MODEL = model_name