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Azure Service Bus SDK

Free

Reliable messaging for cloud applications using Python.

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Free · Opens the source repo

What Azure Service Bus SDK does

The Azure Service Bus SDK for Python provides a robust framework for implementing enterprise messaging solutions. It facilitates communication between distributed applications through queues and publish/subscribe topics. This SDK is particularly useful for developers looking to build scalable cloud applications that require reliable message delivery and processing.

With this SDK, you can easily manage connections to Azure Service Bus, send and receive messages asynchronously, and handle various messaging patterns. It supports both queue-based and topic-based messaging, allowing for flexible architecture designs. The SDK also includes features for message batching, scheduling, and dead-lettering, which are essential for building resilient applications that can handle message processing failures gracefully.

Installation is straightforward with pip, and the SDK leverages Azure's identity management for secure authentication. It is designed for developers who are familiar with Python and cloud services, making it an ideal choice for teams looking to implement messaging solutions in their applications. The documentation provides clear examples for sending and receiving messages, managing sessions, and using different receive modes to suit various application needs.

Overall, the Azure Service Bus SDK for Python is a powerful tool for developers aiming to enhance their applications with reliable messaging capabilities, ensuring that messages are delivered and processed as intended, even in complex distributed environments.

When to use it

Use this SDK when you need to implement messaging patterns in your cloud applications, particularly for scenarios involving queues and topics.

When not to use it

This SDK may not be suitable for simple applications that do not require robust messaging capabilities or for those not using Azure services.

What you can build with it

Implementing Queue-Based Messaging

Use the SDK to set up a queue for processing tasks asynchronously, ensuring that messages are handled reliably.

Building a Pub/Sub System

Leverage topics and subscriptions to create a publish/subscribe messaging system for event-driven architectures.

Handling Message Failures

Utilize dead-letter queues and message settlement features to manage message processing errors effectively.

How to install Azure Service Bus SDK

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1. Install with the skills CLI

npx skills add sickn33/agentic-awesome-skills/azure-servicebus-py --agent claude-code

2. Or install it manually

Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.

Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs

Inside SKILL.md

Written by sickn33

Azure Service Bus SDK for Python

Enterprise messaging for reliable cloud communication with queues and pub/sub topics.

Installation

pip install azure-servicebus azure-identity

Environment Variables

SERVICEBUS_FULLY_QUALIFIED_NAMESPACE=<namespace>.servicebus.windows.net
SERVICEBUS_QUEUE_NAME=myqueue
SERVICEBUS_TOPIC_NAME=mytopic
SERVICEBUS_SUBSCRIPTION_NAME=mysubscription

Authentication

from azure.identity import DefaultAzureCredential
from azure.servicebus import ServiceBusClient

credential = DefaultAzureCredential()
namespace = "<namespace>.servicebus.windows.net"

client = ServiceBusClient(
    fully_qualified_namespace=namespace,
    credential=credential
)

Client Types

ClientPurposeGet From
ServiceBusClientConnection managementDirect instantiation
ServiceBusSenderSend messagesclient.get_queue_sender() / get_topic_sender()
ServiceBusReceiverReceive messagesclient.get_queue_receiver() / get_subscription_receiver()

Send Messages (Async)

import asyncio
from azure.servicebus.aio import ServiceBusClient
from azure.servicebus import ServiceBusMessage
from azure.identity.aio import DefaultAzureCredential

async def send_messages():
    credential = DefaultAzureCredential()
    
    async with ServiceBusClient(
        fully_qualified_namespace="<namespace>.servicebus.windows.net",
        credential=credential
    ) as client:
        sender = client.get_queue_sender(queue_name="myqueue")
        
        async with sender:
            # Single message
            message = ServiceBusMessage("Hello, Service Bus!")
            await sender.send_messages(message)
            
            # Batch of messages
            messages = [ServiceBusMessage(f"Message {i}") for i in range(10)]
            await sender.send_messages(messages)
            
            # Message batch (for size control)
            batch = await sender.create_message_batch()
            for i in range(100):
                try:
                    batch.add_message(ServiceBusMessage(f"Batch message {i}"))
                except ValueError:  # Batch full
                    await sender.send_messages(batch)
                    batch = await sender.create_message_batch()
                    batch.add_message(ServiceBusMessage(f"Batch message {i}"))
            await sender.send_messages(batch)

asyncio.run(send_messages())

Receive Messages (Async)

async def receive_messages():
    credential = DefaultAzureCredential()
    
    async with ServiceBusClient(
        fully_qualified_namespace="<namespace>.servicebus.windows.net",
        credential=credential
    ) as client:
        receiver = client.get_queue_receiver(queue_name="myqueue")
        
        async with receiver:
            # Receive batch
            messages = await receiver.receive_messages(
                max_message_count=10,
                max_wait_time=5  # seconds
            )
            
            for msg in messages:
                print(f"Received: {str(msg)}")
                await receiver.complete_message(msg)  # Remove from queue

asyncio.run(receive_messages())

Receive Modes

ModeBehaviorUse Case
PEEK_LOCK (default)Message locked, must complete/abandonReliable processing
RECEIVE_AND_DELETERemoved immediately on receiveAt-most-once delivery
from azure.servicebus import ServiceBusReceiveMode

receiver = client.get_queue_receiver(
    queue_name="myqueue",
    receive_mode=ServiceBusReceiveMode.RECEIVE_AND_DELETE
)

Message Settlement

async with receiver:
    messages = await receiver.receive_messages(max_message_count=1)
    
    for msg in messages:
        try:
            # Process message...
            await receiver.complete_message(msg)  # Success - remove from queue
        except ProcessingError:
            await receiver.abandon_message(msg)  # Retry later
        except PermanentError:
            await receiver.dead_letter_message(
                msg,
                reason="ProcessingFailed",
                error_description="Could not process"
            )
ActionEffect
complete_message()Remove from queue (success)
abandon_message()Release lock, retry immediately
dead_letter_message()Move to dead-letter queue
defer_message()Set aside, receive by sequence number

Topics and Subscriptions

# Send to topic
sender = client.get_topic_sender(topic_name="mytopic")
async with sender:
    await sender.send_messages(ServiceBusMessage("Topic message"))

# Receive from subscription
receiver = client.get_subscription_receiver(
    topic_name="mytopic",
    subscription_name="mysubscription"
)
async with receiver:
    messages = await receiver.receive_messages(max_message_count=10)

Sessions (FIFO)

# Send with session
message = ServiceBusMessage("Session message")
message.session_id = "order-123"
await sender.send_messages(message)

# Receive from specific session
receiver = client.get_queue_receiver(
    queue_name="session-queue",
    session_id="order-123"
)

# Receive from next available session
from azure.servicebus import NEXT_AVAILABLE_SESSION
receiver = client.get_queue_receiver(
    queue_name="session-queue",
    session_id=NEXT_AVAILABLE_SESSION
)

Scheduled Messages

from datetime import datetime, timedelta, timezone

message = ServiceBusMessage("Scheduled message")
scheduled_time = datetime.now(timezone.utc) + timedelta(minutes=10)

# Schedule message
sequence_number = await sender.schedule_messages(message, scheduled_time)

# Cancel scheduled message
await sender.cancel_scheduled_messages(sequence_number)

Dead-Letter Queue

from azure.servicebus import ServiceBusSubQueue

# Receive from dead-letter queue
dlq_receiver = client.get_queue_receiver(
    queue_name="myqueue",
    sub_queue=ServiceBusSubQueue.DEAD_LETTER
)

async with dlq_receiver:
    messages = await dlq_receiver.receive_messages(max_message_count=10)
    for msg in messages:
        print(f"Dead-lettered: {msg.dead_letter_reason}")
        await dlq_receiver.complete_message(msg)

Sync Client (for simple scripts)

from azure.servicebus import ServiceBusClient, ServiceBusMessage
from azure.identity import DefaultAzureCredential

with ServiceBusClient(
    fully_qualified_namespace="<namespace>.servicebus.windows.net",
    credential=DefaultAzureCredential()
) as client:
    with client.get_queue_sender("myqueue") as sender:
        sender.send_messages(ServiceBusMessage("Sync message"))
    
    with client.get_queue_receiver("myqueue") as receiver:
        for msg in receiver:
            print(str(msg))
            receiver.complete_message(msg)

Best Practices

  1. Use async client for production workloads
  2. Use context managers (async with) for proper cleanup
  3. Complete messages after successful processing
  4. Use dead-letter queue for poison messages
  5. Use sessions for ordered, FIFO processing
  6. Use message batches for high-throughput scenarios
  7. Set max_wait_time to avoid infinite blocking

Reference Files

FileContents
references/patterns.mdCompeting consumers, sessions, retry patterns, request-response, transactions
references/dead-letter.mdDLQ handling, poison messages, reprocessing strategies
scripts/setup_servicebus.pyCLI for queue/topic/subscription management and DLQ monitoring

When to Use

This skill is applicable to execute the workflow or actions described in the overview.

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

Frequently asked questions about Azure Service Bus SDK

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