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Run prettier on ~1,865 files across examples/ to match the monorepo's formatting standards. These files were imported as-is from standalone repos that used different prettier configs.
138 lines
3.9 KiB
TypeScript
138 lines
3.9 KiB
TypeScript
"use client";
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/**
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* Chat Component - Main interface with A2A message visualization.
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* Extracts structured data from agents and passes to parent for display.
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*/
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import React, { useEffect } from "react";
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import {
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CopilotKit,
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useCopilotChat,
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useCopilotAction,
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} from "@copilotkit/react-core";
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import { CopilotChat } from "@copilotkit/react-ui";
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import "@copilotkit/react-ui/styles.css";
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import { MessageToA2A } from "./a2a/MessageToA2A";
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import { MessageFromA2A } from "./a2a/MessageFromA2A";
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type ResearchData = {
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topic: string;
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summary: string;
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findings: Array<{ title: string; description: string }>;
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sources: string;
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};
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type AnalysisData = {
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topic: string;
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overview: string;
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insights: Array<{ title: string; description: string; importance: string }>;
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conclusion: string;
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};
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type ChatProps = {
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onResearchUpdate: (data: ResearchData | null) => void;
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onAnalysisUpdate: (data: AnalysisData | null) => void;
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};
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const ChatInner = ({ onResearchUpdate, onAnalysisUpdate }: ChatProps) => {
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const { visibleMessages } = useCopilotChat();
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// Extract structured JSON from A2A agent responses and pass to parent
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useEffect(() => {
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const extractDataFromMessages = () => {
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for (const message of visibleMessages) {
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const msg = message as any;
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if (
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msg.type === "ResultMessage" &&
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msg.actionName === "send_message_to_a2a_agent"
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) {
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try {
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const result = msg.result;
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let parsed;
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if (typeof result === "string") {
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let cleanResult = result;
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if (result.startsWith("A2A Agent Response: ")) {
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cleanResult = result.substring("A2A Agent Response: ".length);
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}
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try {
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parsed = JSON.parse(cleanResult);
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} catch {
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continue;
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}
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} else if (typeof result === "object") {
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parsed = result;
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} else {
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continue;
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}
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if (parsed.findings && Array.isArray(parsed.findings)) {
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onResearchUpdate(parsed as ResearchData);
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} else if (parsed.insights && Array.isArray(parsed.insights)) {
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onAnalysisUpdate(parsed as AnalysisData);
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}
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} catch (e) {
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console.error("Failed to extract data from message:", e);
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}
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}
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}
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};
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extractDataFromMessages();
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}, [visibleMessages, onResearchUpdate, onAnalysisUpdate]);
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// Register action to render A2A message flow visualization
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useCopilotAction({
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name: "send_message_to_a2a_agent",
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description: "Sends a message to an A2A agent",
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available: "frontend",
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parameters: [
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{
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name: "agentName",
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type: "string",
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description: "The name of the A2A agent to send the message to",
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},
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{
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name: "task",
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type: "string",
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description: "The message to send to the A2A agent",
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},
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],
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render: (actionRenderProps) => {
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return (
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<>
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<MessageToA2A {...actionRenderProps} />
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<MessageFromA2A {...actionRenderProps} />
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</>
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);
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},
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});
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return (
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<CopilotChat
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labels={{
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title: "Research Assistant",
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initial:
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'👋 Hi! I\'m your research assistant. I can help you research any topic.\n\nFor example, try:\n- "Research quantum computing"\n- "Tell me about artificial intelligence"\n- "Research renewable energy"\n\nI\'ll coordinate with specialized agents to gather information and provide insights!',
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}}
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className="h-full"
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/>
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);
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};
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export default function Chat({
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onResearchUpdate,
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onAnalysisUpdate,
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}: ChatProps) {
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return (
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<CopilotKit runtimeUrl="/api/copilotkit" agent="a2a_chat">
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<ChatInner
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onResearchUpdate={onResearchUpdate}
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onAnalysisUpdate={onAnalysisUpdate}
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/>
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</CopilotKit>
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);
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}
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