* Enhance documentation and functionality for trace management

- Updated `mint.json` to include new usage paths for trace decorators and manual trace control.
- Revised `introduction.mdx` to reflect changes in session tracking terminology, replacing "sessions" with "traces" for clarity.
- Expanded `quickstart.mdx` to introduce the `@trace` decorator and manual trace management examples.
- Added new documentation files for `manual-trace-control.mdx` and `trace-decorator.mdx`, detailing advanced trace management techniques and usage patterns.
- Updated `sdk-reference.mdx` to include new parameters for trace management and improved examples for initializing the AgentOps SDK.
- Enhanced `tracking-agents.mdx` to demonstrate multi-agent workflows and coordination using the `@trace` decorator.

These changes improve the clarity and usability of the AgentOps SDK, particularly around trace management and agent tracking.

* Enhance documentation for trace management and agent tracking

- Updated `introduction.mdx` to clarify the use of the `@trace` decorator for custom trace creation.
- Revised `quickstart.mdx` to include examples of initializing AgentOps with manual trace control.
- Improved `examples.mdx` by updating image links to use raw GitHub URLs for better accessibility.
- Enhanced `manual-trace-control.mdx` to provide detailed examples of managing traces manually.
- Updated `recording-operations.mdx` to emphasize the use of the `@trace` decorator for grouping operations.
- Refined `sdk-reference.mdx` to clarify parameters for ending traces and the use of decorators.
- Improved `tracking-agents.mdx` to demonstrate structured tracking with the `@agent` decorator in multi-agent systems.

These changes improve the clarity and usability of the AgentOps SDK, particularly around trace management and agent tracking.

* Add Google Generative AI instrumentation module

- Introduced a new module for Google Generative AI (Gemini) API instrumentation, including `GoogleGenAIInstrumentor` for capturing telemetry data.
- Added attribute extraction functions for model and chat interactions, enhancing observability of API calls.
- Implemented wrappers for synchronous and asynchronous streaming methods to track performance metrics.
- Updated documentation to include usage examples and details on supported features for the new instrumentation.
- Refactored existing code to accommodate the new module structure and improve clarity.

These changes enhance the AgentOps SDK by providing comprehensive support for monitoring Google Generative AI interactions.

* Update mint.json to reorder integration paths, moving 'anthropic' to the correct position in the integrations list. This change improves the organization and accessibility of integration documentation.