adding test, small improvements in code

[Zochory]

This pull request includes significant changes to the configuration, dependencies, and structure of the AgenticFleet project. The most important changes include the addition of a new client configuration, updates to the dependencies and project setup, and the introduction of new modules and classes for agent and client management.

Configuration and Dependencies:

• model_config.yaml: Added configuration for AzureOpenAIChatCompletionClient to use environment variables for model, endpoint, deployment, API version, and API key.
• pyproject.toml: Updated dependencies to include optional dependencies for testing, development, documentation, and models. Removed old project URLs and scripts, and added new tool configurations for pytest, coverage, ruff, black, and isort. [1] [2]

New Modules and Classes:

• src/agentic_fleet/agents/__init__.py: Introduced the Agents module, including the MagenticOneAgent and create_magentic_one_agent functions.
• src/agentic_fleet/agents/magentic_one.py: Added the implementation of the MagenticOneAgent class, providing a wrapper for the MagenticOne agent from autogen.
• src/agentic_fleet/main.py.new: Created the main entry point for the AgenticFleet application, consolidating functionality from previous main files and integrating the new agent and client configurations.

Code Refactoring:

• src/agentic_fleet/app.py: Removed unused imports and updated the model name in the start_chat function. [1] [2] [3]
• src/agentic_fleet/models/client_factory.py: Improved the create_client function with additional validation and logging. [1] [2] [3]

Documentation:

• src/agentic_fleet/services/__init__.py: Added module-level documentation for the Services module.
• src/agentic_fleet/services/client_factory.py: Added documentation for client creation and management services.