Delegate To Agent

Delegate All AI to the Agent

Rule

The UI and server never call an LLM directly. All AI work is delegated to the agent through the chat bridge.

Why

The agent is the single AI interface. It has context about the full project, can read/write any file, and can run scripts. Inline LLM calls bypass this — they create a shadow AI that doesn't know what the agent knows and can't coordinate with it.

How

From the UI (client):

import { sendToAgentChat } from "@agent-native/core";

sendToAgentChat({
  message: "Generate a summary of this document",
  context: documentContent, // optional hidden context (not shown in chat UI)
  submit: true, // auto-submit to the agent
});

From scripts (Node):

import { agentChat } from "@agent-native/core";

agentChat.submit("Process the uploaded images and create thumbnails");

From the UI, detecting when agent is done:

import { useAgentChatGenerating } from "@agent-native/core";

function MyComponent() {
  const isGenerating = useAgentChatGenerating();
  // Show loading state while agent is working
}

submit vs Prefill

The submit option controls whether the message is sent automatically or placed in the chat input for user review:

// Auto-submit: routine operation
sendToAgentChat({ message: "Update the project summary", submit: true });

// Prefill: let user review before sending
sendToAgentChat({
  message: "Delete all projects older than 30 days",
  submit: false,
});

Don't

• Don't import Anthropic from "@anthropic-ai/sdk" in client or server code
• Don't import OpenAI from "openai" in client or server code
• Don't make direct API calls to any LLM provider
• Don't use AI SDK functions like generateText(), streamText(), etc.
• Don't build "AI features" that bypass the agent chat

Exception

Scripts may call external APIs (image generation, search, etc.) — but the AI reasoning and orchestration still goes through the agent. A script is a tool the agent uses, not a replacement for the agent.

Related Skills

• scripts — The agent invokes scripts via pnpm script <name> to perform complex operations
• self-modifying-code — The agent operates through the chat bridge to make code changes
• files-as-database — The agent writes results to data files after processing requests
• sse-file-watcher — The UI updates automatically when the agent writes files