动态分配AI代理通信地址，让智能体按环境自动选最优连接方式。
NANDA Adaptive Resolver: Architecture for Dynamic Resolution of AI Agent Names
- 基于上下文实时选择通信端点，支持地理位置、负载等多因素决策。
- 通过代理注册表发现目标代理，并协商信任与服务质量，实现灵活连接。
- 适合复杂分布式系统中的AI代理协作，提升通信安全性与可扩展性。
AdaptiveResolver 是一种动态微服务架构，旨在解决分布式异构环境中静态端点解析的局限性。与传统 DNS 或静态 URL 不同，该架构可根据地理定位、系统负载、代理能力及安全威胁等上下文因素，实现实时、上下文感知的通信端点选择。智能体通过在代理注册表中发布包含代理名称和上下文需求的代理事实卡片进行声明。请求方智能体利用注册表发现目标代理，并根据双方实际环境上下文，将目标代理名称解析为定制化的通信通道。该架构支持信任、服务质量及资源约束的协商，促进超越经典客户端-服务器模型的灵活、安全、可扩展的智能体间交互。AdaptiveResolver 为可抵御未来生态复杂性的稳健代理通信奠定了基础。
原文摘要 · Abstract (English)
AdaptiveResolver is a dynamic microservice architecture designed to address the limitations of static endpoint resolution for AI agent communication in distributed, heterogeneous environments. Unlike traditional DNS or static URLs, AdaptiveResolver enables context-aware, real-time selection of communication endpoints based on factors such as geographic location, system load, agent capabilities, and security threats. Agents advertise their Agent Name and context requirements through Agent Fact cards in an Agent Registry/Index. A requesting Agent discovers a Target Agent using the registry. The Requester Agent can then resolve the Target Agent Name to obtain a tailored communication channel to the agent based on actual environmental context between the agents. The architecture supports negotiation of trust, quality of service, and resource constraints, facilitating flexible, secure, and scalable agent-to-agent interactions that go beyond the classic client-server model. AdaptiveResolver provides a foundation for robust, future-proof agent communication that can evolve with increasing ecosystem complexity.
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