Files
copilotkit__copilotkit/examples/v2/vue/demo/server/utils/runtime.ts
enekesabel bdd0532b1c feat(vue-demo): add Nuxt demo app
Nuxt 3 demo application with CopilotKit integration
showcasing popup, sidebar, single-agent, MCP apps, and
A2UI demo pages with Hono-based API endpoints.
2026-05-13 15:50:12 -07:00

209 lines
6.3 KiB
TypeScript

import { MCPAppsMiddleware } from "@ag-ui/mcp-apps-middleware";
import {
BasicAgent,
CopilotRuntime,
InMemoryAgentRunner,
} from "@copilotkit/runtime/v2";
import { TranscriptionServiceOpenAI } from "@copilotkit/voice";
import OpenAI from "openai";
import { AbstractAgent, EventType } from "@ag-ui/client";
import type { BaseEvent, RunAgentInput } from "@ag-ui/client";
import { Observable } from "rxjs";
const determineModel = () => {
if (process.env.OPENAI_API_KEY?.trim()) {
return "openai/gpt-4o";
}
if (process.env.ANTHROPIC_API_KEY?.trim()) {
return "anthropic/claude-sonnet-4.5";
}
if (process.env.GOOGLE_API_KEY?.trim()) {
return "google/gemini-2.5-pro";
}
return "openai/gpt-4o";
};
const createTranscriptionService = () => {
if (!process.env.OPENAI_API_KEY?.trim()) {
return undefined;
}
return new TranscriptionServiceOpenAI({
openai: new OpenAI({ apiKey: process.env.OPENAI_API_KEY }),
});
};
/**
* Minimal demo agent that drives the `/a2ui-demo` route.
*
* First run → emits an A2UI surface with a "Confirm" button.
* Button click → runAgent fires again with forwardedProps.a2uiAction set,
* and the agent replies with a confirmation text message.
*
* Mirrors `DemoButtonAgent` in the React demo's
* `src/app/api/copilotkit/[[...slug]]/route.ts`.
*/
class DemoButtonAgent extends AbstractAgent {
run(input: RunAgentInput): Observable<BaseEvent> {
return new Observable((observer) => {
const emit = (event: BaseEvent) => observer.next(event);
emit({
type: EventType.RUN_STARTED,
threadId: input.threadId,
runId: input.runId,
} as BaseEvent);
const a2uiAction = (input.forwardedProps as Record<string, unknown>)
?.a2uiAction;
if (a2uiAction) {
const msgId = crypto.randomUUID();
emit({
type: EventType.TEXT_MESSAGE_START,
messageId: msgId,
role: "assistant",
} as BaseEvent);
emit({
type: EventType.TEXT_MESSAGE_CONTENT,
messageId: msgId,
delta: `✅ Confirmed! (thread: ${input.threadId}) — if you can read this, the fix is working.`,
} as BaseEvent);
emit({
type: EventType.TEXT_MESSAGE_END,
messageId: msgId,
} as BaseEvent);
} else {
const activityId = crypto.randomUUID();
emit({
type: EventType.ACTIVITY_SNAPSHOT,
messageId: activityId,
activityType: "a2ui-surface",
content: {
operations: [
{
beginRendering: {
surfaceId: "demo-surface",
root: "container",
},
},
{
surfaceUpdate: {
surfaceId: "demo-surface",
components: [
{
id: "container",
component: {
Column: {
children: {
explicitList: ["prompt-text", "confirm-btn"],
},
},
},
},
{
id: "prompt-text",
component: {
Text: {
text: {
literalString:
"Click the button to trigger a response:",
},
},
},
},
{
id: "btn-label",
component: {
Text: { text: { literalString: "Confirm" } },
},
},
{
id: "confirm-btn",
component: {
Button: {
child: "btn-label",
action: { name: "confirm" },
primary: true,
},
},
},
],
},
},
],
},
} as BaseEvent);
const msgId = crypto.randomUUID();
emit({
type: EventType.TEXT_MESSAGE_START,
messageId: msgId,
role: "assistant",
} as BaseEvent);
emit({
type: EventType.TEXT_MESSAGE_CONTENT,
messageId: msgId,
delta:
"Click the button above. Without the fix, the confirmation message won't appear here.",
} as BaseEvent);
emit({
type: EventType.TEXT_MESSAGE_END,
messageId: msgId,
} as BaseEvent);
}
emit({ type: EventType.RUN_FINISHED } as BaseEvent);
observer.complete();
});
}
clone(): AbstractAgent {
return new DemoButtonAgent();
}
}
export const createDefaultRuntime = () =>
new CopilotRuntime({
agents: {
default: new BasicAgent({
model: determineModel(),
prompt: "You are a helpful AI assistant.",
temperature: 0.7,
}),
"demo-button": new DemoButtonAgent(),
},
runner: new InMemoryAgentRunner(),
transcriptionService: createTranscriptionService(),
a2ui: {},
});
export const createMcpRuntime = () => {
const agent = new BasicAgent({
model: determineModel(),
prompt: "You are a helpful AI assistant with access to MCP apps and tools.",
temperature: 0.7,
}).use(
new MCPAppsMiddleware({
mcpServers: [
{ type: "http", url: "http://localhost:3101/mcp" },
{ type: "http", url: "http://localhost:3102/mcp" },
{ type: "http", url: "http://localhost:3103/mcp" },
{ type: "http", url: "http://localhost:3104/mcp" },
{ type: "http", url: "http://localhost:3105/mcp" },
{ type: "http", url: "http://localhost:3106/mcp" },
{ type: "http", url: "http://localhost:3107/mcp" },
{ type: "http", url: "http://localhost:3108/mcp" },
{ type: "http", url: "http://localhost:3109/mcp" },
{ type: "http", url: "http://localhost:3110/mcp" },
{ type: "http", url: "http://localhost:3111/mcp" },
{ type: "http", url: "http://localhost:3112/mcp" },
],
}),
);
return new CopilotRuntime({
agents: { default: agent },
runner: new InMemoryAgentRunner(),
});
};