Overview

• Authentication Management: Automatic handling of OAuth2, API keys, and tokens
• Extended Capabilities: Provide agents with access to external services
• API Request Handling: Simplified interfacing with external services

CMS

Define structured data schemas with validation rules and UI configuration. They provide a foundation for data management across the platform. Key features include:

• Schema Definition: Create custom data structures with validation rules
• UI Configuration: Customize forms for data entry and viewing
• Natural Language Search: Semantic search on enabled record types
• Advanced Querying: Complex filtering, sorting, and aggregation
• Vector Database Support: For Retrieval-Augmented Generation (RAG) applications

File Management

The file system provides capabilities for storing, organizing, and accessing documents and media. Key features include:

• Document Organization: Hierarchical folder structure
• Search Capabilities: Find files quickly across the system
• Secure Sharing: Reference files within messages and forms
• Access Control: Permission-based file access

Tools

Tools are operations that enable the AI model to perform specific tasks. They include:

• Data Management Tools: CRUD operations for record types
• File Tools: Upload, organize, access, and share files
• UI Tools: Present interactive components (forms, buttons, charts)
• Integration Tools: Connect with external APIs and services
• Memory Tools: Store and retrieve contextual information
• Web Tools: Make external API requests and process responses

Getting Started

1. Register Applications

Begin by registering Applications using OpenAPI 3.0+ specifications. This automatically generates Tools based on the API operations, giving your Agents access to external services.

2. Create Record Types

Define structured data schemas for your business objects with custom validation rules and UI configurations. These provide the foundation for organized data management.

3. Set Up File Storage

Configure your file storage structure for document management and organization. This enables efficient access to documents and media across your platform.

4. Create Agents

Set up Agents with specific instructions and assign them the necessary tools and capabilities. Connect Agents to create expert networks for complex tasks that require specialized knowledge.

5. Develop Scenarios

Create Scenarios by defining prompts that will be triggered manually, on schedule, or via webhooks. Assign relevant Agents to these Scenarios to automate workflows.

6. Build User Interfaces

Use UI tools to create interactive experiences for data collection and presentation. This enables intuitive interaction with your AI-powered systems.

7. Execute and Monitor

Once your setup is complete, execute Scenarios and monitor the performance and interactions of your Agents and Applications. Track results and refine your system as needed.

By following these steps, you can effectively utilize Brightsy AI to create intelligent systems that automate and enhance your enterprise data workflows.