feat: Implement GoogleProvider for Google Generative AI integration

- Added GoogleProvider class to handle chat completions with Google Gemini API.
- Implemented client initialization and response handling for streaming and non-streaming responses.
- Created utility functions for tool conversion, response parsing, and content extraction.
- Removed legacy tool conversion utilities from the tools module.
- Enhanced logging for better traceability of API interactions and error handling.

src/providers/google_provider/client.py

@@ -0,0 +1,27 @@
+# src/providers/google_provider/client.py
+import logging
+from typing import Any
+
+from google import genai
+
+logger = logging.getLogger(__name__)
+
+
+def initialize_client(api_key: str, base_url: str | None = None) -> Any:
+    """Initializes and returns the Google Generative AI client module."""
+    logger.info("Initializing Google Generative AI client")
+
+    if genai is None:
+        logger.error("Google Generative AI SDK (google-generativeai) is not installed.")
+        raise ImportError("Google Generative AI SDK is required for GoogleProvider. Please install google-generativeai.")
+
+    try:
+        # Configure the client
+        genai.configure(api_key=api_key)
+        if base_url:
+            logger.warning(f"base_url '{base_url}' provided but not typically used by Google client configuration.")
+        # Return the configured module itself, as it's used directly
+        return genai
+    except Exception as e:
+        logger.error(f"Failed to configure Google Generative AI client: {e}", exc_info=True)
+        raise