routing

Route messages to appropriate agents via channel bindings and per-agent policies.

71|22|Updated Apr 6, 2020
One-click install
npx skills add https://github.com/nirholas/agenti --skill routing-nirholas
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: routing
Source: https://github.com/nirholas/agenti/tree/main/packages/protocols/x402-cloddsbot/src/skills/bundled/routing
Command: npx skills add https://github.com/nirholas/agenti --skill routing-nirholas

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Orchestrate multi-agent routing and channel bindings to route messages to appropriate agents.

Core Features & Use Cases

  • Orchestrates cross-agent message routing across channels and channel bindings to direct requests to the correct agent
  • Centralizes per-agent tool policies and dynamic permissions for MCP-enabled clients
  • Enables administrative workflows to view, bind, and manage routing configurations in live environments

Quick Start

Bind a channel to an agent and start routing messages with the routing skill.

Frequently Asked Questions about routing

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I coordinate multi-agent routing and channel bindings dynamically?

Multi-agent routing directs messages to appropriate agents by orchestrating cross-channel bindings and centralized tool policies, ensuring correct message delivery in real-time, dynamic environments.

How do I manage per-agent tool permissions for MCP-enabled clients?

You manage tool permissions by centralizing per-agent tool policies and dynamic permissions for MCP-enabled clients, providing safe and auditable policy management across all bound channels.

Does multi-agent routing support viewing and binding configurations in live environments?

Yes, multi-agent routing enables administrative workflows to view, bind, and manage channel bindings and routing configurations directly in live, dynamic environments without service interruption.

What's the best way to configure modular routing logic for multiple AI agents?

The best way to configure modular routing logic is using human-readable configuration files to define channel bindings and agent-specific policies, ensuring safe and auditable multi-agent message management.

Can I apply different tool policies per agent across multiple channels?

Yes, you can apply different tool policies per agent by establishing agent-specific permissions and channel bindings, ensuring each agent operates under distinct rules across all active channels.