ClientCast Generator

The ClientCast Generator creates diverse client characters with a focus on variety and representation across different demographics, disorders, and presentation styles.

Overview

Property	Value
Key	clientCast
Type	LLM-based
Output	ClientCast character files

Description

The ClientCast Generator is designed to produce a wide variety of client profiles, ensuring diversity in demographics, presenting problems, and communication styles. It's particularly useful for creating large datasets of synthetic clients for training and research.

Key Features

• Diversity Focus - Ensures representation across demographics
• Batch Generation - Efficiently creates multiple profiles
• Customizable Constraints - Control the diversity parameters
• Assessment-Ready - Characters include evaluation-friendly metadata

Configuration

YAML Configuration

generator:
  type: clientCast
  config:
    model: gpt-4o
    temperature: 0.9
    diversity: high

Python Usage

from patienthub.generators import GeneratorRegistry

generator = GeneratorRegistry.create("clientCast", config={
    "model": "gpt-4o",
    "diversity": "high"
})

character = generator.generate({
    "disorder_category": "mood",
    "complexity": "moderate"
})

Parameters

Parameter	Type	Default	Description
model	string	gpt-4o	The LLM model to use
temperature	float	0.9	Higher values increase diversity
diversity	string	high	Diversity level: low, medium, high

Batch Generation

ClientCast excels at generating diverse batches:

from patienthub.generators import GeneratorRegistry

generator = GeneratorRegistry.create("clientCast")

# Generate 10 diverse profiles
profiles = generator.batch_generate(
    count=10,
    diversity_constraints={
        "disorders": ["depression", "anxiety", "ptsd"],
        "age_range": [18, 65],
        "balance_gender": True,
        "include_minorities": True
    }
)

Output Format

{
  "id": "cc_001",
  "demographics": {
    "age": 34,
    "gender": "female",
    "ethnicity": "Hispanic",
    "occupation": "Teacher"
  },
  "clinical": {
    "presenting_problem": "Generalized anxiety affecting work...",
    "disorder": "GAD",
    "severity": "moderate"
  },
  "personality": {
    "communication_style": "verbose",
    "openness": "moderate"
  }
}

Use Cases

• Building large, diverse training datasets
• Creating representative client populations for research
• Generating test cases for therapist agent evaluation
• Educational demonstrations of client diversity