Server-Client binding address conflict

[BlueKiji77]

Trying to launch an app with server-client architecture using llama-deploy but I keep running into port conflict between server and client.
Sorry if this seems obvious, I am new to this.
###LAUNCHING SERVER FROM TERMINAL

INFO:llama_deploy.message_queues.simple - Launching message queue server at 127.0.0.1:8001
INFO:     Started server process [33231]
INFO:     Waiting for application startup.
INFO:llama_deploy.control_plane.server - Launching control plane server at localhost:8000
INFO:     Started server process [33231]
INFO:     Waiting for application startup.
INFO:     Application startup complete.
INFO:     Application startup complete.
INFO:     Uvicorn running on http://127.0.0.1:8001/ (Press CTRL+C to quit)
INFO:     Uvicorn running on http://localhost:8000/ (Press CTRL+C to quit)
INFO:llama_deploy.message_queues.simple - Consumer ControlPlaneServer-481b18ab-ec44-4b02-ba8d-e5fe92c368b9: control_plane has been registered.
INFO:     127.0.0.1:50102 - "POST /register_consumer HTTP/1.1" 200 OK

###LAUNCHING CLIENT FROM TERMINAL

The app is available on localhost:8000 
[Error 98] while attempting to bind on address (127.0.0.1): address already in use.

Server Deployment Code Snippet

  @dataclass
  class DeploymentConfig:
      local_model: bool = False
      host: str = "localhost"
      port: int = 8000
      service_name: str = "react_workflow"

# Some code ...

    await deploy_core(
        control_plane_config=ControlPlaneConfig(
            host=deployment_config.host,
            port=deployment_config.port
        ),
        message_queue_config=SimpleMessageQueueConfig(),
    )
    
    await deploy_workflow(
        ReActAgent(
            llm=groq_llama_8b,
            tools=query_engine_tools,
            timeout=400,
            verbose=False
        ),
        WorkflowServiceConfig(
            host=deployment_config.host,
            port=deployment_config.port,
            service_name=deployment_config.service_name
        ),
        ControlPlaneConfig(
            host=deployment_config.host,
            port=deployment_config.port
        ),
    )

if __name__ == "__main__":
    import asyncio
    
    # Parse command line arguments
    config = parse_arguments()
    
    # Run with parsed config
    asyncio.run(main(config))

Client Code Snippet

load_dotenv()

# Get configuration from environment variables
CONTROL_PLANE_HOST = os.getenv("CONTROL_PLANE_HOST")
CONTROL_PLANE_PORT = int(os.getenv("CONTROL_PLANE_PORT", 8000))
WORKFLOW_NAME = os.getenv("WORKFLOW_NAME")

if not all([CONTROL_PLANE_HOST, WORKFLOW_NAME]):
    raise ValueError("Missing required environment variables. Please check your .env file.")

# Create a LlamaDeployClient instance
client = LlamaDeployClient(
    ControlPlaneConfig(
        host=CONTROL_PLANE_HOST,
        port=CONTROL_PLANE_PORT
    )
)

@cl.on_chat_start
async def start():
    """Initialize the chat session."""
    # Create a SessionClient instance and store it in the user session
    session = client.create_session()
    cl.user_session.set("llama_session", session)
    
    await cl.Message(
        content="👋 Hello! I'm your AI assistant powered by LlamaIndex. I can help you analyze "
        "Uber and Lyft's financial data from their 2021 10-K reports. What would you like to know?"
    ).send()

[masci]

Hey @BlueKiji77 I think the problem is 8000 is also the default port for Chainlit 😅 try putting port: int = 8005 or something like that in your DeploymentConfig

[BlueKiji77]

Doesn't work. I get the same error regardless of the port I set the client and server to listen to. Also assigning different port to both the client and the server (8080, 8005) doesn't work either as one might guess.