Users
Understanding and Managing Users in Julep
Overview
Users in Julep represent the entities interacting with your AI agents. These can be real people or other systems that require automated responses from an agent. Managing users effectively allows for personalized and contextual interactions, ensuring that each user’s preferences and history are maintained across sessions.
Components
Users are comprised of several key components that facilitate their interaction with agents and sessions:
- Name: The identifier for the user.
- About: Additional information describing the user.
- Metadata: Customizable key-value pairs that store user-specific data, preferences, and other relevant information.
Users configuration options
When creating a user, the following attributes can be specified:
| Field | Type | Description | Default |
|---|---|---|---|
name | string | The name of the user. | Required |
about | string | Information about the user. | "" |
metadata | object | Additional metadata for the user, such as preferences or settings. | null |
Creating a User
You can create a user using Julep’s SDKs in Python or JavaScript. Below are examples demonstrating how to create a user.
Managing Users
Once users are created, you can perform various operations such as retrieving, updating, and deleting user profiles.
Retrieving Users
Retrieve user information individually or as a list.
Updating Users
Update user details or specific fields within the user profile.
Deleting Users
Remove users from your system when they are no longer needed.
Relationship to Other Concepts
Sessions
Users interact with agents through sessions, which maintain the context and history of conversations. Each session is associated with a single user and an agent, ensuring that interactions are personalized and relevant.
Example:
Agents
While users represent the entities interacting with your system, agents are the AI-powered entities that respond to user interactions. Agents can have access to user data to provide personalized and context-aware responses.
Example:
Best Practices
Session Management
- 1. Reuse Sessions: Reuse existing sessions for returning users to maintain continuity in interactions.
- 2. Session Cleanup: Regularly clean up inactive sessions to manage resources efficiently.
- 3. Context Overflow Strategy: Choose an appropriate context overflow strategy (e.g., “adaptive”) to handle long conversations without losing important information.
Personalization
- 1. Leverage Metadata: Use user metadata to store and retrieve preferences, enhancing personalized interactions.
- 2. Maintain Context: Ensure that the context within sessions is updated and relevant to provide coherent and context-aware responses.
Data Security
- 1. Protect User Data: Ensure that all user data, especially sensitive information, is stored securely and complies with relevant data protection regulations.
- 2. Access Control: Implement proper access controls to restrict who can view or modify user data.