PackagePublished package

@pasar6987/sf-core-rpa-bot

Name: Semantic model package @pasar6987/sf-core-rpa-bot
Creator: pasar6987

Robotic process automation pools, robot definitions, maintenance windows, session management, and conversational bot analytics for automated digital workers.

OSISchema 0.1.1Domain crm Source developer.salesforce.com/docs/atlas.en-us.object_reference.meta/object_reference

Published package · Latest published 1.0.1 Mar 4, 2026 · 20 datasets / 0 measures in the latest review · Updated Mar 11, 2026

Release path

1.0.1Published Mar 4, 2026

Publisher

@pasar6987Published Mar 4, 2026

Structure snapshot

20 datasets0 measures · 115 dimensions

Semantic Graph

Relationship counts appear after the graph loads.

Loading graph

Package graph is loading

Package relationships will appear when the summary is ready.

Reference context

Secondary package facts stay compact

Updated: Mar 11, 2026
Visibility: Public hub listing
License: MIT
Created: Mar 4, 2026

Reference facts

Secondary package facts after the usage path is clear

Licensing, categorization, ownership, and linked metadata stay below the runnable path so the page reads in the right order.

Format

OSI

Upstream

developer.salesforce.com/docs/atlas.en-us.object_reference.meta/object_reference

Repository

Not linked

Domain

crm

Source

developer.salesforce.com/docs/atlas.en-us.object_reference.meta/object_reference

Owner

@pasar6987

Organization

Independent

License

MIT

Visibility

Public hub listing

Publisher

@pasar6987Published Mar 4, 2026

Latest published version

1.0.1Published Mar 4, 2026

Use this package in code and AI

After structure review, move straight into typed reads with load() or compact LLM context with to_prompt().

Python SDK

Python example for @pasar6987/sf-core-rpa-bot

This example uses the current package ref and, when preview data is available, fills in real dataset names from the published summary.

import rawctx

model = rawctx.load("@pasar6987/sf-core-rpa-bot")
prompt = rawctx.to_prompt(
    "@pasar6987/sf-core-rpa-bot",
    datasets=["BotAnalytics", "BotDefinition"],
    max_tokens=2000,
)

print(model.datasets)        # ["BotAnalytics", "BotDefinition", "ConversationChannelResponse"]
print(model.measures)        # [Measure(name="measure_a", ...)]
print(model.dimensions)      # [Dimension(name="Id", ...), Dimension(name="CreatedById", ...), Dimension(name="CreatedDate", ...)]
print(model.relationships)   # [Relationship(name='...', ...)]
print(prompt)

See Python docs

README

Package narrative and examples

Use documentation after the package clears provenance, ownership, and runnable-path checks.

@pasar6987/sf-core-rpa-bot

Robotic process automation pools, robot definitions, maintenance windows, session management, and conversational bot analytics for automated digital workers.

Overview

	Count
Objects (Datasets)	20
Dimensions	115
Measures	0
Relationships	3

Objects

BotAnalytics — Bot Analytics - BotAnalytics
BotDefinition — Represents a top level object for Einstein Bots or Agentforce Agents.
ConversationChannelResponse — Conversation Channel Responses - ConversationChannelResponse
ConversationDefinitionDialog — Dialogs - ConversationDefinitionDialog
ConversationDefinitionEventLog — Conversation Definition Event Logs - ConversationDefinitionEventLog
ConversationDefinitionSession — Conversation Definition Sessions - ConversationDefinitionSession
ConversationDefinitionSessionEngagement — Conversation Definition Session Engagements - ConversationDefinitionSessionEngagement
RpaFlowResultEvent — Reserved for future use.
RpaRobot — Reserved for future use.
RpaRobotAsgnMaintWindow — Reserved for future use.
RpaRobotAsgnSessionInf — Reserved for future use.
RpaRobotDefinition — Reserved for future use.
RpaRobotMaintWindow — Reserved for future use.
RpaRobotMaintWindowDef — Reserved for future use.
RpaRobotPool — Reserved for future use.
RpaRobotPoolAsgnRobot — Reserved for future use.
RpaRobotPoolDefinition — Reserved for future use.
RpaRobotPoolFlowAsgn — Reserved for future use.
RpaRobotSessionInfo — Reserved for future use.
RpaRobotSessionInfoDef — Reserved for future use.

Install

rawctx snapshot-download @pasar6987/sf-core-rpa-bot

Structure review

Inspect package structure after the usage path is clear

Use the structural review when you need the package footprint, field counts, and model paths before a deeper explorer pass.

Models1

datasets20

measures0

dimensions115

relationships3

AI context1

models/sf-core-rpa-bot.osi.yamlAI context included

20 datasets0 measures115 dimensions3 relationships