- 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.
- Added `process.py` for managing MCP server subprocesses with async capabilities.
- Introduced `protocol.py` for handling JSON-RPC communication over streams.
- Created `llm_client.py` to support chat completion requests to various LLM providers, integrating with MCP tools.
- Defined model configurations in `llm_models.py` for different LLM providers.
- Removed the synchronous `mcp_manager.py` in favor of a more modular approach.
- Established a provider framework in `providers` directory with a base class and specific implementations.
- Implemented `OpenAIProvider` for interacting with OpenAI's API, including streaming support and tool call handling.
