AI Therapist using Long Term Memory
In this notebook, we demonstrate how to use the Lyzr Agent API to create an AI-driven therapy assistant capable of providing personalized support and guidance in mental wellness. The process begins by configuring an environment with LLM capabilities, including a key feature called LONG_TERM_MEMORY
that enhances the therapeutic responses and understanding. Additionally, tools like perplexity_search
to retrieve relevant information. A key feature of this assistant is the ability to generate compassionate and context-aware therapeutic advice, helping users manage stress, anxiety, or other emotional challenges.
To try this, refer to this Google Colab guide
1. Install Package:
2. Setup and Initialization:
3. Environment Creation:
Set up the agent’s environment. The create_env function creates a new environment with specified configurations such as features as a module it uses LONG_TERM_MEMORY
, tools such as perplexity_search
, and a large language model (LLM) as gpt-4o-mini. It takes an environment name and optional API key, makes an API call to set up the environment, and returns the newly created environment’s ID.
4. Create AI Therapist Agent:
The agent_config defines the configuration for creating an AI-driven content creation agent. It specifies the environment in which the agent operates using an env_id, sets a system_prompt that frames it as an empathetic and supportive AI therapist. Its primary role is to assist users in managing their emotions, offering advice, and providing mental health support through thoughtful and considerate conversations.
5. User Interaction and Get Therapy:
The response variable captures the result of sending a chat request to the AI Therapist Agent using the chat_with_agent
method, where user_id
, agent_id
, and message
are provided.
Response