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AGENT

Visualization Agent Live

Dynamically generate a context-aware visualization tailored to your question and the tabular results

The Visualization Agent analyzes structured datasets and the associated user question to recommend the most suitable chart type and generate ready-to-use chart configurations for BI tools and dashboards. The agent is configured using charting rules and business guidelines to ensure accurate, consistent, and context-aware visualizations.
Brands & Indications
Franchises
Oncology (ONC)
AI Skills
Entity Extraction
Response Formatting
Information Retrieval
Data Recognition
Application
LAILA
Version Number
1.0
Release Notes
N/A
Point of Contact
Mallikharjuna Munugoti

Configurations

The configurations that allow this agent to be used for a specific business context and data source

Chart Recommendation Rules
A predefined set of rules that guide the agent in selecting the most appropriate visualization type currently available based on the user’s question and the structure of the input data.
Max Data Points Threshold
Defines upper limits on the number of records or categories that can be plotted in a single chart to maintain clarity, performance, and usability.
Metadata: Enhances AI's understanding by supplying instructions, business term definitions, synonyms, acronyms, and links between data and business terms using business rules. This information must be provided by a business SME.
New Configuration Instructions
Configurations for this agent are determined by dataset or use case. To configure this agent for a new dataset or use case, reach out to the LAILA team to match the outputted chart configurations to your applications UI, and discuss the rules around how the agent should decide the appropriate chart type.
Configured Data Sources
Oncology Subnational Sales FFP

Prompt Guide

Required Inputs

Structured Output
Description
Response's structured data table output
Accepted Values
Tabular data with rows and columns
User Question
Description
The question provided by the end-user in plain, human-readable language
Accepted Values
String containing the user’s inputted question

Optional Inputs

Example Prompts

Show the monthly trend of sales for Venclexta in 2025

Related Information

Tools Used The smaller, reusable components that this agent can utilize to perform repetitive tasks without using GenAI.

Entity Extraction
Identifies key entities in user question
Error Logger
Captures, stores, and reports agent errors for debugging, monitoring, and compliance tracking.

Associated Engines The working examples of how to use this agents to solve a commercial business problem.

Additional Resources

Access developer information and get in touch with our team

Dive into the code details
Follow this link to access API documentation for this agent.
Ready to start building?
Reach out to the OdyssAI team via our intake form.