Azure Web PubSub Service SDK for Python

Overview

This public intake copy packages

plugins/antigravity-awesome-skills/skills/azure-messaging-webpubsubservice-py

https://github.com/sickn33/antigravity-awesome-skills

Use it when the operator needs the upstream workflow, support files, and repository context to stay intact while the public validator and private enhancer continue their normal downstream flow.

This intake keeps the copied upstream files intact and uses

metadata.json

ORIGIN.md

Azure Web PubSub Service SDK for Python Real-time messaging with WebSocket connections at scale.

Imported source sections that did not map cleanly to the public headings are still preserved below or in the support files. Notable imported sections: Environment Variables, Service Client (Server-Side), Client SDK (Python WebSocket Client), Async Service Client, Client Operations, Limitations.

When to Use This Skill

Use this section as the trigger filter. It should make the activation boundary explicit before the operator loads files, runs commands, or opens a pull request.

• This skill is applicable to execute the workflow or actions described in the overview.
• Use when the request clearly matches the imported source intent: Azure Web PubSub Service SDK for Python. Use for real-time messaging, WebSocket connections, and pub/sub patterns.
• Use when the operator should preserve upstream workflow detail instead of rewriting the process from scratch.
• Use when provenance needs to stay visible in the answer, PR, or review packet.
• Use when copied upstream references, examples, or scripts materially improve the answer.
• Use when the workflow should remain reviewable in the public intake repo before the private enhancer takes over.

Operating Table

metadata.json

ORIGIN.md

SKILL.md

SKILL.md

## Related Skills

Workflow

This workflow is intentionally editorial and operational at the same time. It keeps the imported source useful to the operator while still satisfying the public intake standards that feed the downstream enhancer flow.

1. bash # Service SDK (server-side) pip install azure-messaging-webpubsubservice # Client SDK (for Python WebSocket clients) pip install azure-messaging-webpubsubclient
2. Confirm the user goal, the scope of the imported workflow, and whether this skill is still the right router for the task.
3. Read the overview and provenance files before loading any copied upstream support files.
4. Load only the references, examples, prompts, or scripts that materially change the outcome for the current request.
5. Execute the upstream workflow while keeping provenance and source boundaries explicit in the working notes.
6. Validate the result against the upstream expectations and the evidence you can point to in the copied files.
7. Escalate or hand off to a related skill when the work moves out of this imported workflow's center of gravity.

Imported Workflow Notes

Imported: Installation

# Service SDK (server-side)
pip install azure-messaging-webpubsubservice

# Client SDK (for Python WebSocket clients)
pip install azure-messaging-webpubsubclient

Imported: Environment Variables

AZURE_WEBPUBSUB_CONNECTION_STRING=Endpoint=https://<name>.webpubsub.azure.com;AccessKey=...
AZURE_WEBPUBSUB_HUB=my-hub

Examples

Example 1: Ask for the upstream workflow directly

Use @azure-messaging-webpubsubservice-py-v2 to handle <task>. Start from the copied upstream workflow, load only the files that change the outcome, and keep provenance visible in the answer.

Explanation: This is the safest starting point when the operator needs the imported workflow, but not the entire repository.

Example 2: Ask for a provenance-grounded review

Review @azure-messaging-webpubsubservice-py-v2 against metadata.json and ORIGIN.md, then explain which copied upstream files you would load first and why.

Explanation: Use this before review or troubleshooting when you need a precise, auditable explanation of origin and file selection.

Example 3: Narrow the copied support files before execution

Use @azure-messaging-webpubsubservice-py-v2 for <task>. Load only the copied references, examples, or scripts that change the outcome, and name the files explicitly before proceeding.

Explanation: This keeps the skill aligned with progressive disclosure instead of loading the whole copied package by default.

Example 4: Build a reviewer packet

Review @azure-messaging-webpubsubservice-py-v2 using the copied upstream files plus provenance, then summarize any gaps before merge.

Explanation: This is useful when the PR is waiting for human review and you want a repeatable audit packet.

Best Practices

Treat the generated public skill as a reviewable packaging layer around the upstream repository. The goal is to keep provenance explicit and load only the copied source material that materially improves execution.

• Use roles to limit client permissions
• Use groups for targeted messaging
• Generate short-lived tokens for security
• Use user IDs to send to users across connections
• Handle reconnection in client applications
• Use JSON content type for structured data
• Close connections gracefully with reasons

Imported Operating Notes

Imported: Best Practices

1. Use roles to limit client permissions
2. Use groups for targeted messaging
3. Generate short-lived tokens for security
4. Use user IDs to send to users across connections
5. Handle reconnection in client applications
6. Use JSON content type for structured data
7. Close connections gracefully with reasons

Troubleshooting

Problem: The operator skipped the imported context and answered too generically

Symptoms: The result ignores the upstream workflow in

plugins/antigravity-awesome-skills/skills/azure-messaging-webpubsubservice-py

metadata.json

ORIGIN.md

Problem: The imported workflow feels incomplete during review

Symptoms: Reviewers can see the generated

SKILL.md

Problem: The task drifted into a different specialization

Symptoms: The imported skill starts in the right place, but the work turns into debugging, architecture, design, security, or release orchestration that a native skill handles better. Solution: Use the related skills section to hand off deliberately. Keep the imported provenance visible so the next skill inherits the right context instead of starting blind.

Related Skills

• @azure-ai-projects-py-v2

  - Use when the work is better handled by that native specialization after this imported skill establishes context.

• @azure-ai-projects-ts-v2

  - Use when the work is better handled by that native specialization after this imported skill establishes context.

• @azure-ai-textanalytics-py-v2

  - Use when the work is better handled by that native specialization after this imported skill establishes context.

• @azure-ai-transcription-py-v2

  - Use when the work is better handled by that native specialization after this imported skill establishes context.

Additional Resources

Use this support matrix and the linked files below as the operator packet for this imported skill. They should reflect real copied source material, not generic scaffolding.

references

references/n/a

examples

examples/n/a

scripts

scripts/n/a

agents

agents/n/a

assets

assets/n/a

Imported Reference Notes

Imported: Service Client (Server-Side)

Authentication

from azure.messaging.webpubsubservice import WebPubSubServiceClient

# Connection string
client = WebPubSubServiceClient.from_connection_string(
    connection_string=os.environ["AZURE_WEBPUBSUB_CONNECTION_STRING"],
    hub="my-hub"
)

# Entra ID
from azure.identity import DefaultAzureCredential

client = WebPubSubServiceClient(
    endpoint="https://<name>.webpubsub.azure.com",
    hub="my-hub",
    credential=DefaultAzureCredential()
)

Generate Client Access Token

# Token for anonymous user
token = client.get_client_access_token()
print(f"URL: {token['url']}")

# Token with user ID
token = client.get_client_access_token(
    user_id="user123",
    roles=["webpubsub.sendToGroup", "webpubsub.joinLeaveGroup"]
)

# Token with groups
token = client.get_client_access_token(
    user_id="user123",
    groups=["group1", "group2"]
)

Send to All Clients

# Send text
client.send_to_all(message="Hello everyone!", content_type="text/plain")

# Send JSON
client.send_to_all(
    message={"type": "notification", "data": "Hello"},
    content_type="application/json"
)

Send to User

client.send_to_user(
    user_id="user123",
    message="Hello user!",
    content_type="text/plain"
)

Send to Group

client.send_to_group(
    group="my-group",
    message="Hello group!",
    content_type="text/plain"
)

Send to Connection

client.send_to_connection(
    connection_id="abc123",
    message="Hello connection!",
    content_type="text/plain"
)

Group Management

# Add user to group
client.add_user_to_group(group="my-group", user_id="user123")

# Remove user from group
client.remove_user_from_group(group="my-group", user_id="user123")

# Add connection to group
client.add_connection_to_group(group="my-group", connection_id="abc123")

# Remove connection from group
client.remove_connection_from_group(group="my-group", connection_id="abc123")

Connection Management

# Check if connection exists
exists = client.connection_exists(connection_id="abc123")

# Check if user has connections
exists = client.user_exists(user_id="user123")

# Check if group has connections
exists = client.group_exists(group="my-group")

# Close connection
client.close_connection(connection_id="abc123", reason="Session ended")

# Close all connections for user
client.close_all_connections(user_id="user123")

Grant/Revoke Permissions

from azure.messaging.webpubsubservice import WebPubSubServiceClient

# Grant permission
client.grant_permission(
    permission="joinLeaveGroup",
    connection_id="abc123",
    target_name="my-group"
)

# Revoke permission
client.revoke_permission(
    permission="joinLeaveGroup",
    connection_id="abc123",
    target_name="my-group"
)

# Check permission
has_permission = client.check_permission(
    permission="joinLeaveGroup",
    connection_id="abc123",
    target_name="my-group"
)

Imported: Client SDK (Python WebSocket Client)

from azure.messaging.webpubsubclient import WebPubSubClient

client = WebPubSubClient(credential=token["url"])

# Event handlers
@client.on("connected")
def on_connected(e):
    print(f"Connected: {e.connection_id}")

@client.on("server-message")
def on_message(e):
    print(f"Message: {e.data}")

@client.on("group-message")
def on_group_message(e):
    print(f"Group {e.group}: {e.data}")

# Connect and send
client.open()
client.send_to_group("my-group", "Hello from Python!")

Imported: Async Service Client

from azure.messaging.webpubsubservice.aio import WebPubSubServiceClient
from azure.identity.aio import DefaultAzureCredential

async def broadcast():
    credential = DefaultAzureCredential()
    client = WebPubSubServiceClient(
        endpoint="https://<name>.webpubsub.azure.com",
        hub="my-hub",
        credential=credential
    )
    
    await client.send_to_all("Hello async!", content_type="text/plain")
    
    await client.close()
    await credential.close()

Imported: Client Operations

get_client_access_token

send_to_all

send_to_user

send_to_group

send_to_connection

add_user_to_group

remove_user_from_group

close_connection

connection_exists

Imported: 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.