Visualization

VisualizationTools enables agents to create various types of charts and plots using matplotlib.

Example

The following agent can create various types of data visualizations:

1from kern.agent import Agent
2from kern.tools.visualization import VisualizationTools
3
4agent = Agent(
5    instructions=[
6        "You are a data visualization assistant that creates charts and plots",
7        "Generate clear, informative visualizations based on user data",
8        "Save charts to files and provide insights about the data",
9        "Choose appropriate chart types for different data patterns",
10    ],
11    tools=[VisualizationTools(output_dir="my_charts")],
12)
13
14agent.print_response("Create a bar chart showing sales by quarter: Q1=100, Q2=150, Q3=120, Q4=180", stream=True)

Toolkit Params

Parameter	Type	Default	Description
`output_dir`	`str`	`"charts"`	Directory to save generated charts.
`enable_create_bar_chart`	`bool`	`True`	Enable bar chart creation.
`enable_create_line_chart`	`bool`	`True`	Enable line chart creation.
`enable_create_pie_chart`	`bool`	`True`	Enable pie chart creation.
`enable_create_scatter_plot`	`bool`	`True`	Enable scatter plot creation.
`enable_create_histogram`	`bool`	`True`	Enable histogram creation.

Toolkit Functions

Function	Description
`create_bar_chart`	Create bar charts for categorical data comparison.
`create_line_chart`	Create line charts for time series and trend visualization.
`create_pie_chart`	Create pie charts for proportional data representation.
`create_scatter_plot`	Create scatter plots for correlation analysis.
`create_histogram`	Create histograms for data distribution visualization.

Developer Resources

View Tools Source
Matplotlib Documentation