CAMEL: Cognitive Behavioral Therapy AI Counselor
| Property | Value |
|---|---|
| Developer | LangAGI-Lab |
| Model URL | HuggingFace |
| Primary Use | Psychological Counseling |
What is CAMEL?
CAMEL is an innovative AI model designed to provide automated psychological counseling services using Cognitive Behavioral Therapy (CBT) techniques. It implements a sophisticated two-agent system: a CBT planning agent and a counselor agent, working together to deliver structured therapeutic conversations.
Implementation Details
The model operates through a structured dialogue system with two main components: CBTAgent for technique selection and planning, and CounselorAgent for executing the therapeutic conversation. It utilizes the LangChain framework and can be deployed via vLLM server infrastructure.
- Automated CBT technique selection from 12 different methodologies
- Dynamic conversation planning based on client information
- Structured intake process for client information gathering
- Multi-turn dialogue management system
Core Capabilities
- Automated psychological counseling session management
- CBT technique selection and planning
- Natural language dialogue generation
- Client information processing and analysis
- Session history tracking and context maintenance
Frequently Asked Questions
Q: What makes this model unique?
CAMEL stands out for its specialized focus on CBT and its dual-agent architecture that separates planning from execution in counseling sessions. It incorporates 12 different CBT techniques and can adapt its approach based on client information and session progress.
Q: What are the recommended use cases?
The model is designed for preliminary psychological counseling support, client intake processing, and CBT-based therapeutic conversations. It's particularly useful for initial assessment and structured therapeutic dialogues, though it should be used under professional supervision.
