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Openaiworkshop

Openaiworkshop is a public, MIT-licensed Python repository of workshop materials and code for designing, prototyping and comparing agent-based AI solutions, with examples spanning orchestration, workflows, MCP tools and Azure architecture.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Openaiworkshop — OpenViST project profile in Agent Frameworks.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it when planning an agent prototype or workshop, or when comparing documented orchestration and system architecture patterns before building a solution.

Who it is for

  • Developers prototyping agent-based solutions for business scenarios.
  • Teams comparing single-agent and multi-agent orchestration patterns.
  • Workshop facilitators using business-scenario materials to structure agent design.
  • Practitioners studying MCP, workflow orchestration, evaluation or Azure deployment reference patterns.

Documented uses

  • Use a business scenario to frame an agent design exercise.
  • Compare single-agent, Magentic orchestration and handoff-based routing approaches.
  • Explore workflow patterns such as fan-out/fan-in and human-in-the-loop processing.
  • Study an end-to-end architecture connecting data, MCP tools, agent orchestration and an application interface.
  • Review Azure deployment patterns involving private networking, managed identity and CI/CD.
Before you choose

Requirements & limits

The repository is public and licensed under MIT.

  • The repository is Python-based and includes setup instructions, but the specific environment requirements are in its setup documentation.
  • The materials cover several distinct paths, from agent-framework patterns to durable workflows and Azure deployment; select the relevant guide before starting.
  • APIM and MCP security is identified as optional, rather than a required part of every workshop path.
  • The repository describes Azure deployment guidance, including Azure Developer CLI and manual Terraform or Bicep approaches.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Choose an agent implementation pattern

Review the workshop setup and design resources, then select an agent framework pattern to explore.

Before you start

  • Access to the repository’s setup instructions, business scenario, and Agent Framework implementation patterns.

Steps

  1. Review the Setup Instructions for environment prerequisites and installation steps.

  2. Explore the Business Scenario and Agent Design to understand the workshop challenge.

  3. Read the Agent Framework Implementation Patterns and choose among the single-agent, Magentic orchestration, or handoff pattern.

  4. Review the System Architecture before building or customizing an agent solution.

Expected outcome

A selected agent pattern and a pointer to the workshop setup and architecture resources.

Guide limitations

  • The README links to setup and implementation guidance but does not itself give installation commands or steps to execute an agent.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗Guide documentation ↗
Source record details
Source availability
Active
Sources checked
5 November 2026
Original website title
microsoft/OpenAIWorkshop · Official homepage title · retained in its source language
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