Design principles
Understanding the design principles behind AgentBridge
AI-First
AgentBridge is designed with a goal of making AI agents more capable of understanding and completing tasks autonomously. It takes a unique and tailored approach - unlike traditional API specifications that focus on isolated endpoints, AgentBridge organizes APIs into actions, flows (multi-step workflows), and entities, enriched with clear, semantic descriptions.
This specific structure, provides an optimized way for LLMs to consume and perform up to expectations of the user accurately.
Flow-Oriented
Workflows are fundamental blocks in many systems, so providing a structured approach to handling complex, multi-step tasks is crucial for AI agents.
AgentBridge defines a standard format for describing workflows, making it simple for AI agents to understand and execute them.
Semantic Understanding
AgentBridge excels at capturing the purpose of API operations, which helps AI agents in understanding the context and intent behind the requests.
It promotes meaningful descriptions in API documentation, giving meaning to actions and entities, and conveying the relationships between steps in workflows.