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Dataverse SDK for Python - Agentic Workflows Guide

# Dataverse SDK for Python - Agentic Workflows Guide ## ⚠️ PREVIEW FEATURE NOTICE **Status**: This feature is in **Public Preview** as of December 2025 **Availability**: General Availability (GA)

# Dataverse SDK for Python - Agentic Workflows Guide

## ⚠️ PREVIEW FEATURE NOTICE

**Status**: This feature is in **Public Preview** as of December 2025  
**Availability**: General Availability (GA) date TBD  
**Documentation**: Complete implementation details forthcoming  

This guide covers the conceptual framework and planned capabilities for building agentic workflows with the Dataverse SDK for Python. Specific APIs and implementations may change before general availability.

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## 1. Overview: Agentic Workflows with Dataverse

### What are Agentic Workflows?

Agentic workflows are autonomous, intelligent processes where:
- **Agents** make decisions and take actions based on data and rules
- **Workflows** orchestrate complex, multi-step operations
- **Dataverse** serves as the central source of truth for enterprise data

The Dataverse SDK for Python is designed to enable data scientists and developers to build these intelligent systems without .NET expertise.

### Key Capabilities (Planned)

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Skill Capability with explicit trigger pattern
Skill Understand
Explain or analyze
Scope Project
This codebase
Manual Manually placed / Persistent