atif

Develop a Python-based mini-application named 'AgentTrajectoryVisualizer' which utilizes the 'atif' package to visualize agent trajectories in a 3D environment. This application will serve as a tool for researchers and developers working with simulation data to better understand and analyze the movement patterns of agents within their environments.

### Core Functionality:
- **Data Loading:** Implement functionality to load ATIF-formatted trajectory data files into the application. Use the 'atif' package to parse these files and convert them into usable Pydantic models.
- **Visualization:** Develop a simple 3D visualization component using a library such as Matplotlib or Plotly to display the loaded trajectories. Users should be able to see each agent's path over time, with options to customize colors, line thicknesses, etc.
- **Time Slider:** Integrate a time slider widget that allows users to navigate through the timeline of the simulation, viewing different stages of the agent trajectories dynamically.
- **Save/Export Options:** Provide the ability to save the current visualization state as an image file or export it as an animated GIF, allowing users to share or include the visualizations in reports.

### Suggested Features:
- **Interactive Controls:** Include buttons or keyboard shortcuts to zoom in/out, pan around the 3D space, and reset the view to default settings.
- **Multiple Trajectories Comparison:** Allow the comparison of multiple agent trajectories simultaneously on the same plot, enhancing the analysis capabilities.
- **Statistics Display:** Show basic statistics about the loaded trajectories, such as total distance traveled, average speed, etc., directly within the application interface.
- **Customization Options:** Enable users to customize various aspects of the visualization, including but not limited to color schemes, marker styles for points, and animation speed for exporting.

### Utilization of 'atif':
- Use the 'atif' package to define the structure of the expected input data and to validate the correctness of the loaded trajectory data. This ensures that the application only processes valid data and can provide meaningful visualizations.
- Leverage the Pydantic models provided by 'atif' to facilitate seamless integration between the data loading and visualization components, ensuring that the data is correctly interpreted and displayed according to the ATIF standard.