diff --git a/vllm/entrypoints/connect.py b/vllm/entrypoints/connect.py
index a7bb5a9daccf7..439bfa5088841 100644
--- a/vllm/entrypoints/connect.py
+++ b/vllm/entrypoints/connect.py
@@ -50,22 +50,22 @@ async def create_socket_pool(url: str, num_sockets: int, zmqctx: zmq.asyncio.Con
     return sockets
 
 # select a scoket and execute task
-async def execute_task_async(route: str, headers: Headers, request: dict, sockets: list):
+async def execute_task_async(route: str, headers: dict, request: dict, sockets: list):
     sock = await sockets.get()
     try:
         requestBody = json.dumps(request)
-        headersJson = json.dumps(dict(headers))
+        headersJson = json.dumps(headers)
         logger.info(f"Sending requestBody: {requestBody} to {route} with headers: {headersJson}")
         await sock.send_multipart([route.encode(), headersJson.encode(), requestBody.encode()])
         logger.info(f"Sent end")
         while True:
             logger.info(f"Waiting for reply")
-            reply = await sock.recv_multipart()
-            logger.info(f"Received result: {reply}")
-            yield f"data: {reply[0].decode()}\n\n"
-            if "finish_reason" in reply[0].decode() and "stop" in reply[0].decode():
+            [contentType, reply] = await sock.recv_multipart()
+            logger.info(f"Received result: {contentType}, {reply}")
+            reply = reply.decode()
+            yield f"{reply}"
+            if "[DONE]" in reply:
                 logger.info(f"Received stop signal, return socket")
-                yield "data: [DONE]\n\n"
                 break
     finally:
         await sockets.put(sock)
@@ -73,16 +73,20 @@ async def execute_task_async(route: str, headers: Headers, request: dict, socket
 @app.post('/v1/connect/completions')
 async def chat_completions(request: Request):
     try:
+        # Add the X-Request-Id header to the raw headers list
+        x_request_id = str(uuid.uuid4())
+        header = dict(request.headers)
+        if header.get("X-Request-Id") is None:
+            logger.info(f"add X-Request-Id: {x_request_id}")
+            header["X-Request-Id"] = x_request_id
         original_request_data = await request.json()
-        header = request.headers
-        logger.info(f"Received request: {original_request_data}")
+        logger.info(f"Received request: {original_request_data} header: {header}")
         prefill_request = original_request_data.copy()
         # change max_tokens = 1 to let it only do prefill
         prefill_request['max_tokens'] = 1
         route = "/v1/completions"
         # finish prefill
         async for x in execute_task_async(route, header, prefill_request, app.state.sockets_prefill):
-            logger.info(f"{x}")
             continue
 
         # return decode
diff --git a/vllm/entrypoints/launcher.py b/vllm/entrypoints/launcher.py
index b09ee526f14ae..dd098693cf36d 100644
--- a/vllm/entrypoints/launcher.py
+++ b/vllm/entrypoints/launcher.py
@@ -6,9 +6,13 @@ import socket
 from http import HTTPStatus
 from typing import Any, Optional
 
+import zmq
+import zmq.asyncio
+
 import uvicorn
 from fastapi import FastAPI, Request, Response
 
+from vllm.entrypoints.openai.connect_worker import worker_routine
 from vllm import envs
 from vllm.engine.async_llm_engine import AsyncEngineDeadError
 from vllm.engine.multiprocessing import MQEngineDeadError
@@ -72,8 +76,39 @@ async def serve_http(app: FastAPI,
                 "port %s is used by process %s launched with command:\n%s",
                 port, process, " ".join(process.cmdline()))
         logger.info("Shutting down FastAPI HTTP server.")
-        return server.shutdown()
+        return server.shutdown()    
 
+async def serve_zmq(arg, zmq_server_port: int, app: FastAPI) -> None:
+    """Server routine"""
+    logger.info(f"zmq Server start arg: {arg}, zmq_port: {zmq_server_port}")
+    url_worker = "inproc://workers"
+    url_client = f"tcp://0.0.0.0:{zmq_server_port}"
+    # Prepare our context and sockets
+    context = zmq.asyncio.Context()
+
+    # Socket to talk to clients
+    clients = context.socket(zmq.ROUTER)
+    clients.bind(url_client)
+    logger.info(f"ZMQ Server ROUTER started at {url_client}")
+    # Socket to talk to workers
+    workers = context.socket(zmq.DEALER)
+    workers.bind(url_worker)
+    logger.info(f"ZMQ Worker DEALER started at {url_worker}")
+
+    tasks = [asyncio.create_task(worker_routine(url_worker, app, context, i)) for i in range(5)]
+    proxy_task =  asyncio.to_thread(zmq.proxy, clients, workers)
+    
+    try:
+        await asyncio.gather(*tasks, proxy_task)
+    except KeyboardInterrupt:
+        print("ZMQ Server interrupted")
+    except zmq.ZMQError as e:
+        print("ZMQError:", e)
+    finally:
+        # We never get here but clean up anyhow
+        clients.close()
+        workers.close()
+        context.term()
 
 def _add_shutdown_handlers(app: FastAPI, server: uvicorn.Server) -> None:
     """Adds handlers for fatal errors that should crash the server"""
diff --git a/vllm/entrypoints/openai/api_server.py b/vllm/entrypoints/openai/api_server.py
index f9b1d69a31d8c..2c67cc1644eb9 100644
--- a/vllm/entrypoints/openai/api_server.py
+++ b/vllm/entrypoints/openai/api_server.py
@@ -36,7 +36,7 @@ from vllm.engine.multiprocessing.client import MQLLMEngineClient
 from vllm.engine.multiprocessing.engine import run_mp_engine
 from vllm.engine.protocol import EngineClient
 from vllm.entrypoints.chat_utils import load_chat_template
-from vllm.entrypoints.launcher import serve_http
+from vllm.entrypoints.launcher import serve_http, serve_zmq
 from vllm.entrypoints.logger import RequestLogger
 from vllm.entrypoints.openai.cli_args import (make_arg_parser,
                                               validate_parsed_serve_args)
@@ -1029,6 +1029,11 @@ async def run_server(args, **uvicorn_kwargs) -> None:
                     "s" if is_ssl else "", _listen_addr(sock_addr[0]),
                     sock_addr[1])
 
+        zmq_server_port = args.zmq_server_port
+        if zmq_server_port is not None:
+            logger.info("asyncio.create_task Starting ZMQ server at port %d", zmq_server_port)
+            asyncio.create_task(serve_zmq(args, zmq_server_port, app))
+
         shutdown_task = await serve_http(
             app,
             sock=sock,
diff --git a/vllm/entrypoints/openai/connect_worker.py b/vllm/entrypoints/openai/connect_worker.py
new file mode 100644
index 0000000000000..0a641d423a58f
--- /dev/null
+++ b/vllm/entrypoints/openai/connect_worker.py
@@ -0,0 +1,129 @@
+import json
+from typing import Optional
+import zmq
+import zmq.asyncio
+import tempfile
+import uuid
+import httpx
+import json
+
+from fastapi import FastAPI, Request
+from fastapi.responses import JSONResponse
+
+# yapf conflicts with isort for this block
+# yapf: disable
+from vllm.entrypoints.openai.protocol import (CompletionRequest,
+                                              CompletionRequest,
+                                              CompletionResponse,
+                                              ErrorResponse)
+from vllm.entrypoints.openai.serving_chat import OpenAIServingChat
+from vllm.entrypoints.openai.serving_completion import OpenAIServingCompletion
+from vllm.entrypoints.openai.serving_engine import OpenAIServing
+from vllm.entrypoints.openai.serving_models import OpenAIServingModels
+from vllm.entrypoints.openai.serving_tokenization import OpenAIServingTokenization
+from vllm.logger import init_logger
+import traceback
+
+prometheus_multiproc_dir: tempfile.TemporaryDirectory
+
+# Cannot use __name__ (https://github.com/vllm-project/vllm/pull/4765)
+logger = init_logger('vllm.entrypoints.openai.connect_worker')
+
+def base(app: FastAPI) -> OpenAIServing:
+    # Reuse the existing instance
+    return tokenization(app)
+
+
+def models(app: FastAPI) -> OpenAIServingModels:
+    return app.state.openai_serving_models
+
+
+def chat(app: FastAPI) -> Optional[OpenAIServingChat]:
+    return app.state.openai_serving_chat
+
+
+def completion(app: FastAPI) -> Optional[OpenAIServingCompletion]:
+    return app.state.openai_serving_completion
+
+def tokenization(app: FastAPI) -> OpenAIServingTokenization:
+    return app.state.openai_serving_tokenization
+
+
+def bytes_to_headers(bytes_data: bytes) -> httpx.Headers:
+    headers_dict = json.loads(bytes_data.decode())
+    return httpx.Headers(headers_dict)
+
+async def worker_routine(worker_url: str, app: FastAPI,
+                   context: zmq.asyncio.Context = None, i: int = 0):
+    """Worker routine"""
+    try:
+        # Socket to talk to dispatcher
+        socket = context.socket(zmq.DEALER)
+        worker_identity = f"worker-{i}-{uuid.uuid4()}"
+        socket.setsockopt(zmq.IDENTITY, worker_identity.encode())
+        socket.connect(worker_url)
+        logger.info(f"{worker_identity} started at {worker_url}")
+        while True:
+            identity, url, header, body  = await socket.recv_multipart()
+            logger.info(f"worker-{i} Received request identity: [{identity} ]")
+            url = url.decode()
+            logger.info(f"worker-{i} Received request url: [{url} ]")
+            header = bytes_to_headers(header)
+            logger.info(f"worker-{i} Received request headers: [{header} ]")
+            body = json.loads(body.decode())
+            logger.info(f"worker-{i} Received request body: [{body} ]")
+            logger.info(f"worker-{i} Calling OpenAI API")
+            completionRequest = CompletionRequest(**body)
+            createRequest = create_request(url, "POST", body, header)
+            generator = await create_completion(app, completionRequest, createRequest)
+            logger.info(f"worker-{i} Received response: [{generator} ]")
+            if isinstance(generator, ErrorResponse):
+                content = generator.model_dump_json()
+                context = json.loads(content)
+                context.append("status_code", generator.code)
+                await socket.send_multipart([identity,  b"application/json", json.dumps(context).encode()])
+            elif isinstance(generator, CompletionResponse):
+                await socket.send_multipart([identity,  b"application/json", JSONResponse.render(content=generator.model_dump())])
+            else:
+                async for chunk in generator:
+                    logger.info(f"worker-{i} Sending response chunk: [{chunk} ]")
+                    await socket.send_multipart([identity,  b"text/event-stream", chunk.encode()])
+    except Exception as e:
+        logger.error(f"Error in worker routine: {e} worker-{i}")
+        logger.error(traceback.format_exc())
+
+async def create_completion(app: FastAPI, request: CompletionRequest, raw_request: Request):
+    handler =  completion(app)
+    logger.info(f"zmq requset post: {request}")
+    if handler is None:
+        return base(app).create_error_response(
+            message="The model does not support Completions API")
+
+    generator = await handler.create_completion(request, raw_request)
+    logger.info(f"zmq requset end post: {generator}")
+    return generator
+
+
+def create_request(path: str, method: str, body: bytes, headers: dict = None):
+    scope = {
+        'type': 'http',
+        'http_version': '1.1',
+        'method': method,
+        'path': path,
+        'headers': list(headers.items()) if headers else [],
+    }
+    if body:
+        scope['body'] = json.dumps(body).encode('utf-8')
+    async def receive():
+        return {
+            'type': 'http.request',
+            'body': scope.get('body', b''),
+        }
+    async def send(message):
+        pass 
+    return Request(scope, receive=receive, send=send)
+
+
+if __name__ == "__main__":
+    print(bytes_to_headers(b'{"Content-Type": "application/json"}'))
+