🔌 WebSocket Client

The WebSocket Client implements the AIP (Agent Interaction Protocol) for reliable, bidirectional communication between device clients and the Agent Server. It provides the low-level communication infrastructure for UFO device clients.

📋 Overview

The WebSocket client handles all network communication aspects, allowing the UFO Client to focus on task execution.

Key Responsibilities:

Capability	Description	Implementation
Connection Management	Persistent WebSocket connection with automatic retry	Exponential backoff, configurable max retries
AIP Protocol Implementation	Structured message handling via Registration, Heartbeat, Task Execution	Three protocol handlers
Device Registration	Automatic registration with device profile on connect	Push model (proactive info collection)
Heartbeat Monitoring	Regular keepalive messages for connection health	Configurable interval (default: 30s)
Message Routing	Dispatch incoming messages to appropriate handlers	Type-based routing
Error Handling	Graceful error recovery and reporting	Retry logic, error propagation via AIP

Message Flow Overview:

🏗️ Architecture

The WebSocket client is organized into distinct layers for connection management, protocol handling, and message routing.

Component Structure

graph TB subgraph "UFOWebSocketClient" CM[Connection Management Layer] PH[Protocol Handler Layer] MR[Message Routing Layer] end subgraph "Connection Management" CM1[connect_and_listen] CM2[Retry Logic] CM3[State Tracking] end subgraph "AIP Protocols" PH1[RegistrationProtocol] PH2[HeartbeatProtocol] PH3[TaskExecutionProtocol] end subgraph "Message Handlers" MR1[recv_loop] MR2[handle_message] MR3[handle_commands] MR4[handle_task_end] end CM --> CM1 CM --> CM2 CM --> CM3 PH --> PH1 PH --> PH2 PH --> PH3 MR --> MR1 MR --> MR2 MR --> MR3 MR --> MR4 CM1 --> PH PH --> MR style CM fill:#e3f2fd style PH fill:#f1f8e9 style MR fill:#fff3e0

Class Structure

Component	Type	Purpose
UFOWebSocketClient	Main Class	Orchestrates all WebSocket communication
WebSocketTransport	AIP Component	Low-level WebSocket send/receive
RegistrationProtocol	AIP Protocol	Client registration messages
HeartbeatProtocol	AIP Protocol	Connection keepalive messages
TaskExecutionProtocol	AIP Protocol	Task request/result messages

🔄 Connection Lifecycle

Initialization & Connection Flow

sequenceDiagram participant Main as Client Main participant WSC as WebSocket Client participant WS as WebSocket participant Server Note over Main: 1. Initialization Main->>WSC: Create UFOWebSocketClient(ws_url, ufo_client) WSC->>WSC: Initialize attributes (max_retries=3, timeout=120) Note over WSC,Server: 2. Connection Attempt WSC->>WS: websockets.connect(ws_url) WS->>Server: TCP Handshake Server-->>WS: WebSocket Upgrade WS-->>WSC: Connection Established Note over WSC,Server: 3. AIP Protocol Initialization WSC->>WSC: Create WebSocketTransport(ws) WSC->>WSC: Create RegistrationProtocol(transport) WSC->>WSC: Create HeartbeatProtocol(transport) WSC->>WSC: Create TaskExecutionProtocol(transport) Note over WSC,Server: 4. Device Registration WSC->>WSC: Collect Device Info WSC->>Server: REGISTRATION (via AIP) Server-->>WSC: REGISTRATION_ACK WSC->>WSC: Set connected_event Note over WSC,Server: 5. Message Handling par Receive Loop loop Continuous Server->>WSC: Server Messages WSC->>WSC: Route to Handlers end and Heartbeat Loop loop Every 30s WSC->>Server: HEARTBEAT Server-->>WSC: HEARTBEAT_ACK end end

Initialization Code

Creating a WebSocket client:

from ufo.client.websocket import UFOWebSocketClient
from ufo.client.ufo_client import UFOClient

# Create UFO client (execution engine)
ufo_client = UFOClient(
    mcp_server_manager=mcp_manager,
computer_manager=computer_manager,
    client_id="device_windows_001",
    platform="windows"
)

# Create WebSocket client (communication layer)
ws_client = UFOWebSocketClient(
    ws_url="ws://localhost:5000/ws",
    ufo_client=ufo_client,
    max_retries=3,    # Default: 3 attempts
    timeout=120       # Heartbeat interval in seconds (default: 120)
)

# Connect and start listening (blocking call)
await ws_client.connect_and_listen()

Constructor Parameters:

Parameter	Type	Default	Description
`ws_url`	`str`	Required	WebSocket server URL (e.g., `ws://localhost:5000/ws`)
`ufo_client`	`UFOClient`	Required	UFO client instance for command execution
`max_retries`	`int`	`3`	Maximum connection retry attempts
`timeout`	`float`	`120`	Heartbeat interval in seconds (passed to `heartbeat_loop()`)

Note: The timeout parameter is passed to heartbeat_loop(interval) to control heartbeat frequency. While heartbeat_loop() has a default of 30s in its signature, the client constructor uses 120s which is passed when calling the method.

Connection Establishment Details

The client uses specific WebSocket parameters optimized for long-running task execution:

WebSocket Connection Parameters:

async with websockets.connect(
    self.ws_url,
    ping_interval=20,       # Send WebSocket ping every 20 seconds
    ping_timeout=180,       # Wait up to 3 minutes for pong response
    close_timeout=10,       # 10 second close handshake timeout
    max_size=100 * 1024 * 1024  # 100MB max message size
) as ws:
    # Connection established

Parameter Rationale:

Parameter	Value	Reason
`ping_interval`	20 seconds	Frequent keepalive to detect connection loss quickly
`ping_timeout`	180 seconds	Tolerates long-running operations (e.g., complex tasks)
`close_timeout`	10 seconds	Quick cleanup on intentional disconnect
`max_size`	100 MB	Supports large screenshots, logs, file transfers

Note: The 180-second ping_timeout ensures the connection stays alive during lengthy tool executions (up to 100 minutes per tool).

📝 Registration Flow

Device Information Collection

UFO uses a push model for device information: clients proactively send their profile during registration, rather than waiting for the server to request it. This reduces latency for constellation (multi-client) scenarios.

Device Info Collection:

from ufo.client.device_info_provider import DeviceInfoProvider

# Collect comprehensive system information
system_info = DeviceInfoProvider.collect_system_info(
    client_id=self.ufo_client.client_id,
    custom_metadata=None  # Server adds custom metadata if configured
)

# System info includes:
# - platform (windows/linux/darwin)
# - os_version
# - cpu_count
# - memory_total_gb
# - hostname
# - ip_address
# - supported_features
# - platform_type

Metadata Structure:

metadata = {
    "system_info": {
        "platform": "windows",
        "os_version": "Windows-10-10.0.19045",
        "cpu_count": 8,
        "memory_total_gb": 16.0,
        "hostname": "DESKTOP-ABC123",
        "ip_address": "192.168.1.100",
        # ... additional fields
    },
    "registration_time": "2025-11-05T14:30:00.123Z"
}

See Device Info Provider for complete field descriptions.

Registration Message Exchange

sequenceDiagram participant Client participant AIP as AIP Registration Protocol participant Server Note over Client: Collect Device Info Client->>Client: DeviceInfoProvider.collect_system_info() Note over Client,Server: Registration Request Client->>AIP: register_as_device( device_id, metadata, platform) AIP->>Server: REGISTRATION {device_id, metadata, platform} Note over Server: Validate & Store Server->>Server: Check for duplicate ID Server->>Server: Store device info Server->>Server: Add to client registry Note over Client,Server: Registration Response Server-->>AIP: REGISTRATION_ACK {success: true} AIP-->>Client: success = True Client->>Client: Set connected_event Client->>Client: Log success

Registration Code:

async def register_client(self):
    """Send client_id and device system information to server."""

    # Collect device info
    try:
        system_info = DeviceInfoProvider.collect_system_info(
            self.ufo_client.client_id,
            custom_metadata=None
        )
        metadata = {
            "system_info": system_info.to_dict(),
            "registration_time": datetime.datetime.now(
                datetime.timezone.utc
            ).isoformat(),
        }
        self.logger.info(
            f"[WS] \[AIP] Collected device info: platform={system_info.platform}, "
            f"cpu={system_info.cpu_count}, memory={system_info.memory_total_gb}GB"
        )
    except Exception as e:
        self.logger.error(f"[WS] \[AIP] Error collecting device info: {e}")
        # Continue with minimal metadata
        metadata = {
            "registration_time": datetime.datetime.now(
                datetime.timezone.utc
            ).isoformat(),
        }

    # Use AIP RegistrationProtocol
    success = await self.registration_protocol.register_as_device(
        device_id=self.ufo_client.client_id,
        metadata=metadata,
        platform=self.ufo_client.platform
    )

    if success:
        self.connected_event.set()  # Signal successful registration
        self.logger.info(f"[WS] \[AIP] ✅ Successfully registered as {self.ufo_client.client_id}")
    else:
        self.logger.error(f"[WS] \[AIP] ❌ Failed to register as {self.ufo_client.client_id}")
        raise RuntimeError(f"Registration failed for {self.ufo_client.client_id}")

Registration Outcomes

Success Scenario:

INFO - [WS] \[AIP] Collected device info: platform=windows, cpu=8, memory=16.0GB
INFO - [WS] \[AIP] Attempting to register as device_windows_001
INFO - [WS] \[AIP] ✅ Successfully registered as device_windows_001

connected_event is set (allows task requests)
Client enters message handling loops

Failure Scenario:

ERROR - [WS] \[AIP] ❌ Failed to register as device_windows_001
RuntimeError: Registration failed for device_windows_001

Connection is closed
Retry logic engages (exponential backoff)

Common Failure Causes:

Cause	Server Behavior	Client Action
Duplicate client ID	Reject registration	Change client ID, retry
Server capacity limit	Reject registration	Wait and retry later
Network interruption	Timeout	Automatic retry with backoff
Invalid platform	Reject registration	Fix platform parameter

💓 Heartbeat Mechanism

Heartbeats prove the client is still alive and responsive, allowing the server to detect disconnected clients quickly.

Heartbeat Loop Implementation

Default Configuration:

Parameter	Value	Configurable
Interval	30 seconds	✅ Yes (function parameter)
Protocol	AIP HeartbeatProtocol	No
Error Handling	Break loop on failure	No

Heartbeat Code:

async def heartbeat_loop(self, interval: float = 30) -> None:
    """
    Send periodic heartbeat messages using AIP HeartbeatProtocol.
    :param interval: Interval between heartbeats in seconds (default: 30)
    """
    while True:
        await asyncio.sleep(interval)
        try:
            await self.heartbeat_protocol.send_heartbeat(
                self.ufo_client.client_id
            )
            self.logger.debug("[WS] \[AIP] Heartbeat sent")
        except (ConnectionError, IOError) as e:
            self.logger.debug(
                f"[WS] \[AIP] Heartbeat failed (connection closed): {e}"
            )
            break  # Exit loop if connection is closed

Customizing Heartbeat Interval:

Adjust the interval when calling the heartbeat loop:

# In handle_messages():
await asyncio.gather(
    self.recv_loop(),
    self.heartbeat_loop(interval=60)  # Custom 60-second interval
)

Heartbeat Message Structure

Client → Server (Heartbeat):

{
  "type": "HEARTBEAT",
  "client_id": "device_windows_001",
  "timestamp": "2025-11-05T14:30:22.123Z"
}

Server → Client (Heartbeat Ack - Optional):

{
  "type": "HEARTBEAT",
  "timestamp": "2025-11-05T14:30:22.456Z"
}

Heartbeat State Diagram

stateDiagram-v2 [*] --> Sleeping Sleeping --> SendingHeartbeat: After interval (30s) SendingHeartbeat --> Success: Sent successfully SendingHeartbeat --> Failed: Connection error Success --> Sleeping: Continue loop Failed --> [*]: Exit loop note right of Sleeping Wait for interval duration (default: 30 seconds) end note note right of Failed Connection closed recv_loop will also exit Outer retry logic activates end note

📨 Message Handling

Message Router

All incoming messages are validated against the AIP schema and routed based on their type field.

Message Dispatcher Code:

async def handle_message(self, msg: str):
    """Dispatch messages based on their type."""
    try:
        # Parse and validate message
        data = ServerMessage.model_validate_json(msg)
        msg_type = data.type

        self.logger.info(f"[WS] Received message: {data}")

        # Route by type
        if msg_type == ServerMessageType.TASK:
            await self.start_task(data.user_request, data.task_name)
        elif msg_type == ServerMessageType.HEARTBEAT:
            self.logger.info("[WS] Heartbeat received")
        elif msg_type == ServerMessageType.TASK_END:
            await self.handle_task_end(data)
        elif msg_type == ServerMessageType.ERROR:
            self.logger.error(f"[WS] Server error: {data.error}")
        elif msg_type == ServerMessageType.COMMAND:
            await self.handle_commands(data)
        else:
            self.logger.warning(f"[WS] Unknown message type: {msg_type}")

    except Exception as e:
        self.logger.error(f"[WS] Error handling message: {e}", exc_info=True)

Message Type Routing:

Server Message Type	Handler Method	Purpose
`TASK`	`start_task()`	Begin new task execution
`COMMAND`	`handle_commands()`	Execute specific commands
`TASK_END`	`handle_task_end()`	Process task completion
`HEARTBEAT`	Log only	Acknowledge keepalive
`ERROR`	Log error	Handle server-side errors
Unknown	Log warning	Ignore unrecognized types

Task Start Handler

Single Task Execution

The client executes only one task at a time. New task requests are ignored if a task is currently running.

Task Start Flow:

sequenceDiagram participant Server participant WSC as WebSocket Client participant UFC as UFO Client participant Task as Task Coroutine Server->>WSC: TASK message {user_request, task_name} alt Current Task Running WSC->>WSC: Check current_task.done() WSC->>Server: ⚠️ Ignore (log warning) else No Task Running WSC->>Task: Create task_loop() coroutine Task->>UFC: Reset session state Task->>Task: Build metadata (platform) Task->>Server: TASK_REQUEST (via AIP) Server-->>Task: Acknowledgment Task->>WSC: Task coroutine running end

Task Start Code:

async def start_task(self, request_text: str, task_name: str | None):
    """Start a new task based on server request."""

    # Check if task is already running
    if self.current_task is not None and not self.current_task.done():
        self.logger.warning(
            f"[WS] Task {self.session_id} is still running, ignoring new task"
        )
        return

    self.logger.info(f"[WS] Starting task: {request_text}")

    async def task_loop():
        try:
            async with self.ufo_client.task_lock:
                self.ufo_client.reset()  # Clear previous session state

                # Build metadata with platform info
                metadata = {}
                if self.ufo_client.platform:
                    metadata["platform"] = self.ufo_client.platform

                # Send task request via AIP
                await self.task_protocol.send_task_request(
                    request=request_text,
                    task_name=task_name if task_name else str(uuid4()),
                    session_id=self.ufo_client.session_id,
                    client_id=self.ufo_client.client_id,
                    metadata=metadata if metadata else None
                )

                self.logger.info(
                    f"[WS] \[AIP] Sent task request with platform: {self.ufo_client.platform}"
                )
        except Exception as e:
            self.logger.error(f"[WS] \[AIP] Error sending task request: {e}")
            # Send error via AIP
            error_msg = ClientMessage(
                type=ClientMessageType.ERROR,
                error=str(e),
                client_id=self.ufo_client.client_id,
                timestamp=datetime.datetime.now(datetime.timezone.utc).isoformat()
            )
            await self.transport.send(error_msg.model_dump_json().encode())

    # Create task coroutine
    self.current_task = asyncio.create_task(task_loop())

Command Execution Handler

The server sends specific commands (tool calls) to execute, and the client returns results.

Command Execution Flow:

async def handle_commands(self, server_response: ServerMessage):
    """
    Handle commands received from server.
    Uses AIP TaskExecutionProtocol to send results back.
    """
    response_id = server_response.response_id
    task_status = server_response.status
    self.session_id = server_response.session_id

    # Execute commands via UFO Client
    action_results = await self.ufo_client.execute_step(server_response)

    # Send results via AIP
    await self.task_protocol.send_task_result(
        session_id=self.session_id,
        prev_response_id=response_id,
        action_results=action_results,
        status=task_status,
        client_id=self.ufo_client.client_id
    )

    self.logger.info(
        f"[WS] \[AIP] Sent client result for prev_response_id: {response_id}"
    )

    # Check for task completion
    if task_status in [TaskStatus.COMPLETED, TaskStatus.FAILED]:
        await self.handle_task_end(server_response)

Execution Steps:

Extract Metadata: Get response_id, task_status, session_id
Execute Commands: Delegate to ufo_client.execute_step()
Send Results: Use TaskExecutionProtocol.send_task_result()
Check Completion: Handle task end if status is terminal

Task Completion Handler

async def handle_task_end(self, server_response: ServerMessage):
    """Handle task end messages from server."""

    if server_response.status == TaskStatus.COMPLETED:
        self.logger.info(
            f"[WS] Task {self.session_id} completed, result: {server_response.result}"
        )
    elif server_response.status == TaskStatus.FAILED:
        self.logger.info(
            f"[WS] Task {self.session_id} failed, with error: {server_response.error}"
        )
    else:
        self.logger.warning(
            f"[WS] Unknown task status for {self.session_id}: {server_response.status}"
        )

⚠️ Error Handling

Connection Error Recovery

The client automatically retries failed connections using exponential backoff to avoid overwhelming the server.

Retry Logic:

async def connect_and_listen(self):
    """Connect with automatic retry."""
    while self.retry_count < self.max_retries:
        try:
            async with websockets.connect(...) as ws:
                # Initialize protocols
                self.transport = WebSocketTransport(ws)
                self.registration_protocol = RegistrationProtocol(self.transport)
                self.heartbeat_protocol = HeartbeatProtocol(self.transport)
                self.task_protocol = TaskExecutionProtocol(self.transport)

                await self.register_client()
                self.retry_count = 0  # Reset on successful connection
                await self.handle_messages()

        except (websockets.ConnectionClosedError, websockets.ConnectionClosedOK) as e:
            self.logger.error(f"[WS] Connection closed: {e}")
            self.retry_count += 1
            await self._maybe_retry()

        except Exception as e:
            self.logger.error(f"[WS] Unexpected error: {e}", exc_info=True)
            self.retry_count += 1
            await self._maybe_retry()

    self.logger.error("[WS] Max retries reached. Exiting.")

Exponential Backoff:

async def _maybe_retry(self):
    """Exponential backoff before retry."""
    if self.retry_count < self.max_retries:
        wait_time = 2 ** self.retry_count  # 2s, 4s, 8s, 16s...
        self.logger.info(f"[WS] Retrying in {wait_time}s...")
        await asyncio.sleep(wait_time)

Retry Schedule:

Attempt	Wait Time	Cumulative Wait
1st retry	2 seconds	2s
2nd retry	4 seconds	6s
3rd retry	8 seconds	14s
Max retries reached	Exit	-

Default Max Retries = 3

Based on source code: max_retries: int = 3 in constructor. Increase for unreliable networks:

ws_client = UFOWebSocketClient(
    ws_url="ws://...",
    ufo_client=ufo_client,
    max_retries=10  # More resilient
)

Message Parsing Errors

Graceful Error Handling:

try:
    data = ServerMessage.model_validate_json(msg)
    # Process message...
except Exception as e:
    self.logger.error(f"[WS] Error handling message: {e}", exc_info=True)
    # Message is dropped, client continues listening

Message parsing errors don't crash the client—the error is logged and the receive loop continues.

Registration Error Handling

Fallback to Minimal Metadata:

try:
    system_info = DeviceInfoProvider.collect_system_info(...)
    metadata = {"system_info": system_info.to_dict()}
except Exception as e:
    self.logger.error(f"[WS] \[AIP] Error collecting device info: {e}")
    # Continue with minimal metadata
    metadata = {
        "registration_time": datetime.datetime.now(datetime.timezone.utc).isoformat()
    }

If device info collection fails, registration still proceeds with minimal metadata (timestamp only).

🔌 AIP Protocol Integration

The WebSocket client uses three specialized AIP protocols for different communication patterns.

1. Registration Protocol

Purpose: Client registration and device profile exchange

from aip.protocol.registration import RegistrationProtocol

self.registration_protocol = RegistrationProtocol(self.transport)

# Register as device
success = await self.registration_protocol.register_as_device(
    device_id="device_windows_001",
    metadata={"system_info": {...}},
    platform="windows"
)

Key Methods:

Method	Parameters	Returns	Purpose
`register_as_device()`	`device_id`, `metadata`, `platform`	`bool`	Register client as device

See AIP Registration Protocol for message format details.

2. Heartbeat Protocol

Purpose: Connection keepalive and health monitoring

from aip.protocol.heartbeat import HeartbeatProtocol

self.heartbeat_protocol = HeartbeatProtocol(self.transport)

# Send heartbeat
await self.heartbeat_protocol.send_heartbeat("device_windows_001")

Key Methods:

Method	Parameters	Returns	Purpose
`send_heartbeat()`	`client_id`	`None`	Send keepalive message

See AIP Heartbeat Protocol for message format details.

3. Task Execution Protocol

Purpose: Task request and result exchange

from aip.protocol.task_execution import TaskExecutionProtocol

self.task_protocol = TaskExecutionProtocol(self.transport)

# Send task request
await self.task_protocol.send_task_request(
    request="Open Notepad",
    task_name="task_001",
    session_id=None,
    client_id="device_windows_001",
    metadata={"platform": "windows"}
)

# Send task result
await self.task_protocol.send_task_result(
    session_id="session_123",
    prev_response_id="resp_456",
    action_results=[...],
    status=TaskStatus.COMPLETED,
    client_id="device_windows_001"
)

Key Methods:

Method	Parameters	Returns	Purpose
`send_task_request()`	`request`, `task_name`, `session_id`, `client_id`, `metadata`	`None`	Request task execution
`send_task_result()`	`session_id`, `prev_response_id`, `action_results`, `status`, `client_id`	`None`	Return execution results

See AIP Task Execution Protocol for message format details.

🔍 Connection State Management

State Checking

Use is_connected() to check if the client is ready to send messages.

Implementation:

def is_connected(self) -> bool:
    """Check if WebSocket is connected and registered."""
    return (
        self.connected_event.is_set()  # Registration succeeded
        and self._ws is not None       # WebSocket exists
        and not self._ws.closed        # WebSocket is open
    )

Usage Example:

if ws_client.is_connected():
    await ws_client.start_task("Open Calculator", "task_calc")
else:
    logger.error("Not connected to server - cannot send task")

Connected Event

The connected_event is an asyncio.Event that signals successful registration.

Usage Pattern:

# Wait for connection before sending requests
await ws_client.connected_event.wait()

# Now safe to send task requests
await ws_client.start_task("Open Notepad", "task_notepad")

Event Lifecycle:

State	Event Status	Meaning
Initial	Not set	Client not connected
Connecting	Not set	WebSocket connecting, registering
Registered	Set	✅ Ready to send/receive messages
Disconnected	Cleared	Connection lost, will retry

✅ Best Practices

Development Best Practices

1. Enable DEBUG Logging

import logging
logging.basicConfig(level=logging.DEBUG)

Output:

DEBUG - [WS] [AIP] Heartbeat sent
DEBUG - [WS] [AIP] Heartbeat failed (connection closed): ...
INFO - [WS] Received message: ServerMessage(type='COMMAND', ...)

2. Test Connection Before Full Integration

# Test just connection and registration
ws_client = UFOWebSocketClient(ws_url, ufo_client)
await ws_client.connect_and_listen()  # Should register successfully

3. Handle Connection Loss Gracefully

try:
    await ws_client.connect_and_listen()
except Exception as e:
    logger.error(f"WebSocket client error: {e}")
    # Implement recovery (e.g., alert, restart)

Production Best Practices

1. Use Appropriate Retry Limits

For production networks with occasional instability:

ws_client = UFOWebSocketClient(
    ws_url="wss://production-server.com/ws",
    ufo_client=ufo_client,
    max_retries=10  # More retries for resilience
)

2. Monitor Connection Health

Log heartbeat success/failure for alerting:

# In heartbeat_loop (add custom monitoring):
try:
    await self.heartbeat_protocol.send_heartbeat(...)
    self.logger.debug("[WS] ✅ Heartbeat sent successfully")
    # Update metrics: heartbeat_success_count++
except Exception as e:
    self.logger.error(f"[WS] ❌ Heartbeat failed: {e}")
    # Trigger alert: connection_health_alert()

3. Use Secure WebSocket (WSS)

# Production: Encrypted WebSocket
ws_client = UFOWebSocketClient(
    ws_url="wss://ufo-server.company.com/ws",  # WSS, not WS
    ufo_client=ufo_client
)

4. Clean State on Reconnection

The client automatically resets state:

async with self.ufo_client.task_lock:
    self.ufo_client.reset()  # Clears session state
    # Send new task request

Error Handling Best Practices

Defensive Programming

1. Expect Transient Failures

# Increase retries for unreliable networks
max_retries=10

# Monitor retry count in logs
self.logger.info(f"[WS] Retry {self.retry_count}/{self.max_retries}")

2. Validate Messages Before Processing

# Already handled by Pydantic in source code:
data = ServerMessage.model_validate_json(msg)  # Raises on invalid

3. Report Errors via AIP

# Send structured error messages back to server
error_msg = ClientMessage(
    type=ClientMessageType.ERROR,
    error=str(e),
    client_id=self.ufo_client.client_id,
    timestamp=datetime.datetime.now(datetime.timezone.utc).isoformat()
)
await self.transport.send(error_msg.model_dump_json().encode())

🔗 Integration Points

UFO Client Integration

The WebSocket client delegates all command execution to the UFO Client.

Execution Flow:

# WebSocket client receives command
action_results = await self.ufo_client.execute_step(server_response)

Integration:

WebSocket Client Role	UFO Client Role
Receive commands from server	Execute commands via MCP tools
Parse server messages	Manage computer/tool registry
Send results back	Collect execution results
Handle connection errors	Handle execution errors

See UFO Client for execution details.

Device Info Provider Integration

Device information is collected once during registration.

Integration:

from ufo.client.device_info_provider import DeviceInfoProvider

system_info = DeviceInfoProvider.collect_system_info(
    client_id=self.ufo_client.client_id,
    custom_metadata=None
)

See Device Info Provider for profiling details.

AIP Transport Integration

All messages go through the WebSocket transport layer.

Transport Creation:

from aip.transport.websocket import WebSocketTransport

self.transport = WebSocketTransport(ws)

Transport Usage:

Protocols use transport for sending messages
Direct transport access for error messages

See AIP Transport Layer for transport details.

🚀 Next Steps

Continue Learning

Connect Your Client - Follow the step-by-step guide: Quick Start Guide
Understand Command Execution - Learn how the UFO Client executes commands: UFO Client Documentation
Explore Device Profiling - See what device information is collected: Device Info Provider
Master the AIP Protocol - Deep dive into message formats: AIP Protocol Guide
Study Server-Side Registration - Understand how the server handles registration: Server Overview