refactor: remove OpenAIClient implementation to streamline codebase

src/openai_client.py

@@ -1,68 +0,0 @@
-"""OpenAI client with custom MCP integration."""
-
-import configparser
-import logging  # Import logging
-
-from openai import OpenAI
-
-from mcp_manager import SyncMCPManager
-
-# Get a logger for this module
-logger = logging.getLogger(__name__)
-
-
-class OpenAIClient:
-    def __init__(self):
-        logger.debug("Initializing OpenAIClient...")  # Add init log
-        self.config = configparser.ConfigParser()
-        self.config.read("config/config.ini")
-
-        # Validate configuration
-        if not self.config.has_section("openai"):
-            raise Exception("Missing [openai] section in config.ini")
-        if not self.config["openai"].get("api_key"):
-            raise Exception("Missing api_key in config.ini")
-
-        # Configure OpenAI client
-        self.client = OpenAI(
-            api_key=self.config["openai"]["api_key"], base_url=self.config["openai"]["base_url"], default_headers={"HTTP-Referer": "https://streamlit-chat-app.com", "X-Title": "Streamlit Chat App"}
-        )
-
-        # Initialize MCP manager if configured
-        self.mcp_manager = None
-        if self.config.has_section("mcp"):
-            mcp_config_path = self.config["mcp"].get("servers_json", "config/mcp_config.json")
-            self.mcp_manager = SyncMCPManager(mcp_config_path)
-
-    def get_chat_response(self, messages):
-        try:
-            # Try using MCP if available
-            if self.mcp_manager and self.mcp_manager.initialize():
-                logger.info("Using MCP with tools...")  # Use logger
-                last_message = messages[-1]["content"]
-                # Pass API key and base URL from config.ini
-                response = self.mcp_manager.process_query(
-                    query=last_message,
-                    model_name=self.config["openai"]["model"],
-                    api_key=self.config["openai"]["api_key"],
-                    base_url=self.config["openai"].get("base_url"),  # Use .get for optional base_url
-                )
-
-                if "error" not in response:
-                    logger.debug("MCP processing successful, wrapping response.")
-                    # Convert to OpenAI-compatible response format
-                    return self._wrap_mcp_response(response)
-
-            # Fall back to standard OpenAI
-            logger.info(f"Falling back to standard OpenAI API with model: {self.config['openai']['model']}")  # Use logger
-            return self.client.chat.completions.create(model=self.config["openai"]["model"], messages=messages, stream=True)
-
-        except Exception as e:
-            error_msg = f"API Error (Code: {getattr(e, 'code', 'N/A')}): {str(e)}"
-            logger.error(error_msg, exc_info=True)  # Use logger
-            raise Exception(error_msg)
-
-    def _wrap_mcp_response(self, response: dict):
-        """Return the MCP response dictionary directly (for non-streaming)."""
-        # No conversion needed if app.py handles dicts separately
-        return response