The Variables section in WaveAssist allows you to manage key-value pairs and view AI assistant data directly from your dashboard. You can create, update, delete variables, and inspect associated data with ease. View variables in your project

​
Managing Variables

Variables are reusable key-value pairs used across nodes and AI assistants. These values can be dynamically updated during execution or manually configured.

​
Key Features

  • Create Variables: Add new variables with a unique key and select a data type.
  • Edit Variables: Modify the value or type of an existing variable.
  • Delete Variables: Remove variables that are no longer in use.

​
Supported Data Types

​
string

Use the string data type to store plain text or simple values. Example: 
"This is a string value"

​
json

Structured data such as objects or arrays. 
{
	"key": "value",
	"list": [1, 2, 3]
}

​
dataframe

Use the dataframe data type to store tabular data in CSV format. Supports structured data with rows and columns. Example: 
id,name,value
1,item1,100
2,item2,200
3,item3,300

​
Viewing and Managing Variables

The Data Viewer allows you to inspect and manage the data used in your AI assistants. You can filter, view, and export data directly from the dashboard.

​
Key Features

  • View Data: Inspect the data stored in your project.
  • Filter Data: Apply filters to narrow down the data you want to view.
  • Export Data: Download data for external use.

​
Managing DataFrames

For more complex data structures like DataFrames, we recommend using the WaveAssist Python SDK. The SDK provides a convenient interface to fetch, manipulate, and store DataFrames. By combining the dashboard and the Python SDK, you can efficiently manage all your data needs in WaveAssist.