Server: AGUI

Deploy agents as AG-UI protocol servers for CopilotKit integration

Deploy agents as AG-UI servers for CopilotKit and other AG-UI compatible frontends.

CLI

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

# Start AGUI/A2U server
praisonai serve a2u --port 8002

Option	Default	Description
--host	127.0.0.1	Host to bind to
--port	8002	Server port
--file	agents.yaml	Agents YAML file

Python

from praisonaiagents import Agent
from praisonaiagents 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)

Expected Output:

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

Verify:

curl http://localhost:8000/status

Response:

{"status": "available"}

agents.yaml

AGUI server is Python-only. No agents.yaml support.

AGUI Endpoints

Endpoint	Method	Description
/agui	POST	Run agent with SSE streaming
/status	GET	Check agent availability

AGUI Parameters

Parameter	Type	Default	Description
agent	Agent	-	PraisonAI Agent instance
agents	Agents	-	Multi-agent workflow
name	str	agent.name	AGUI endpoint name
description	str	agent.role	Agent description
prefix	str	""	URL prefix

CopilotKit Integration

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

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

Send AGUI Request

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!"}
      ]
    }
  }'

Response (SSE Stream):

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"}

Event Types

Event	Description
run_started	Agent run has started
run_finished	Agent run completed
run_error	Terminal error — includes mid-stream provider failures
text_message_start	New text message started
text_message_content	Text content delta
text_message_end	Text message completed
tool_call_start	Tool call started
tool_call_args	Tool call arguments
tool_call_end	Tool call completed
custom (praisonai.*)	PraisonAI-specific events for recoverable failures and progress — see below

A terminal error reaches the client as run_error, now including mid-stream provider failures that were previously silently dropped. Recoverable conditions (retry, model fallback, streaming fallback) arrive as custom praisonai.* events while the run continues.

PraisonAI custom events

AG-UI has no first-class frames for recoverable failures or user-visible progress. PraisonAI carries these as custom events with a praisonai.* name. AG-UI clients are expected to ignore custom event names they do not recognise, so these are backwards-compatible.

Custom event name	When it fires	value shape
praisonai.retry	LLM call is being retried after a transient failure	{ message, metadata }
praisonai.model_fallback	Provider swapped to a fallback model	{ message, metadata }
praisonai.stream_unavailable	Streaming path failed; falling back to non-streaming	{ message, metadata }
praisonai.tool_progress	A running tool emitted progress	{ content, tool_call, metadata }
praisonai.todo_updated	The agent’s todo list changed	{ content, tool_call, metadata }

See the AGUI API reference for the SSE payload and a JavaScript handler.

JavaScript Client

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);
    }
  }
}

Troubleshooting

Issue	Fix
Port in use	lsof -i :8000
Missing deps	pip install "praisonaiagents[os]"
No API key	export OPENAI_API_KEY="your-key"
CORS errors	Add CORS middleware to FastAPI app

Related

• AGUI API Reference - Full AGUI endpoint documentation
• A2A Server - Deploy as A2A server
• Agents Server - Deploy as HTTP server