Deploy as a Server: AGUI

pip install "praisonaiagents[api]"
export OPENAI_API_KEY="your-key"

from praisonaiagents import Agent
from praisonaiagents.ui.agui import AGUI
from fastapi import FastAPI
import uvicorn

agent = Agent(
    name="Assistant",
    role="Helpful AI Assistant",
    goal="Help users with their questions",
    llm="gpt-4o-mini"
)

agui = AGUI(agent=agent)

app = FastAPI()
app.include_router(agui.get_router())

uvicorn.run(app, host="0.0.0.0", port=8000)

INFO:     Started server process
INFO:     Waiting for application startup.
INFO:     Application startup complete.
INFO:     Uvicorn running on http://0.0.0.0:8000

curl http://localhost:8000/status

{"status": "available"}

import { CopilotKit } from "@copilotkit/react-core";

function App() {
  return (
    <CopilotKit runtimeUrl="http://localhost:8000/agui">
      <YourApp />
    </CopilotKit>
  );
}

curl -X POST http://localhost:8000/agui \
  -H "Content-Type: application/json" \
  -d '{
    "threadId": "thread-123",
    "runId": "run-456",
    "state": {
      "messages": [
        {"id": "msg-1", "role": "user", "content": "Hello!"}
      ]
    }
  }'

event: run_started
data: {"type": "run_started", "threadId": "thread-123", "runId": "run-456"}

event: text_message_start
data: {"type": "text_message_start", "messageId": "msg-2"}

event: text_message_content
data: {"type": "text_message_content", "messageId": "msg-2", "delta": "Hello! How can I help?"}

event: text_message_end
data: {"type": "text_message_end", "messageId": "msg-2"}

event: run_finished
data: {"type": "run_finished", "threadId": "thread-123", "runId": "run-456"}

const response = await fetch('http://localhost:8000/agui', {
  method: 'POST',
  headers: { 'Content-Type': 'application/json' },
  body: JSON.stringify({
    threadId: 'thread-123',
    runId: 'run-456',
    state: {
      messages: [{ id: 'msg-1', role: 'user', content: 'Hello!' }]
    }
  })
});

const reader = response.body.getReader();
const decoder = new TextDecoder();

while (true) {
  const { done, value } = await reader.read();
  if (done) break;
  
  const text = decoder.decode(value);
  const lines = text.split('\n');
  
  for (const line of lines) {
    if (line.startsWith('data: ')) {
      const event = JSON.parse(line.slice(6));
      console.log('Event:', event);
    }
  }
}