DBIE Bot

Hyperforce Lifecycle Engineering

DBIE Bot / BaaS (Bot as a service/platform) is a common platform across the teams where it allows easy onboarding of teams for their slack commands and implementing their own functionality.
It also provides feature and services that teams can leverage and extend upon. This allows teams to focus entirely on their core functionality.

What is it ?

Advantages

Eliminate FEDX onboarding, setting up monitoring dashboards, alert systems, and deployments.
Simplified Slack integration with pre-configured OAuth scopes.
Effortless user onboarding with a one-click Slack workflow.

How easy it is to build a command ?

class Ping(commands.Command):
    class Meta:
        name = ".ping"
        username = "Ping Greeter"
        icon_emoji = ":wave:"
        description = "A simple healthcheck command"
        show_typing = True

    def handle(self, message, options):
        message.reply(text="Hello 👋, the bot is up and running!")

ping.py

hce/dbiebot

pull request

Overview of key features

@command.rbac
class Ping(commands.Command):
    class Meta:
        name = ".ping"
        username = "Ping Greeter"
        icon_emoji = ":wave:"
        
        extra_options = {
            "auth": {
                "teams": [GUS_TEAM_IDS.HCE],
                "users": ["kmanchukonda@salesforce.com", "snerati@salesforce.com"],
                "message": "Not Authorized to execute this command."
            }
        }

    def handle(self, message, options):
        message.reply(text="Hello 👋, the bot is up and running!")

RBAC Guardrails

class Ping(commands.Command):
    class Meta:
        name = ".ping"
        
    def add_arguments(self, parser):
        parser.add_argument('--work_id', 'Provide a work item id like W-123456')

    def handle(self, message, options):
		gus = Connect(
			vault.get_team_secret("PMD", "GUS_SERVICE_ACCOUNT_ID"),
			vault.get_team_secret("PMD", "GUS_SERVICE_ACCOUNT_PASSWORD"),
		)
        message.reply(text = gus.work_item(work_id).text)

Bringing your own service account / certs

🔒 secure multitenancy - path isolation
seamlessly own and modify your service account secrets yourself

Network Connectivity

aws-esvc1-useast2

Outbound Network Access

Site Bridge

Gus

Argus

QuantumK

LLM Gateway

Slack

Git soma

UIP

@scheduler.register(interval = 60 * 24) # once a day
def run():
  PIESupportMetricCollection().handle()

class PIESupportMetricCollection(commands.Command):
    class Meta:
        name = ".pie-metrics"

    def handle(self, message, options):
        # business logic for metric collection
        pass

Scheduling Jobs

Mature Slack SDK integration

message.reply(blocks=[
  kit.Actions(elements=[
    self.approve_button(),
    self.reject_button()
  ]),
  self.user_selection(
    message.get_user_id()),
    self.static_selection()])

Docs

Teams that have currently onboarded and are building their use cases

PIE APAC - A metric collector for support ticket resolution time on #pie-support.
PMD - An interface for using the Gus service account to perform operations on work items and change cases.
HGCO - Utilizing Git Soma APIs to execute pull requests through a Slack interface.
CCDE - An interface for accessing the CCRDB database in Commerce Cloud.
AMA - Communicate with the RAG model of db ops GPT and provide a conversational flow for multiple teams knowledge bases.

AMA (Ask me anything)

Leverage Generative AI for DBIE Knowledge bases

Interface

Vector Stores and Refresh

Current state

fixed knowledge base
manually generate embeddings
on local machine
upload them to s3 on a
regular basis

Expected state

no cap on number of
knowledge bases
auto generate embeddings in
a falcon environment
auto refresh maintaining compliance

LLM Agents

Thank you

https://git.soma.salesforce.com/pages/hce/dbiebot-docs/