# Azure-Samples/openai

The repository for all Azure OpenAI Samples complementing the OpenAI cookbook.

Repository: https://github.com/Azure-Samples/openai
Canonical: https://ross.abutalabs.com/products/azure-samples-openai
Homepage: https://aka.ms/azure-openai
Language: Jupyter Notebook
License: MIT
License Family: permissive
Last push: 2026-08-20T21:59:31+00:00

## Health v2 (maintenance only)
Score: 74/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 98, release rhythm 35, longevity 88
- inputs: {"age_days": 1245, "days_push": 13, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1342, forks 455 (observed 2026-08-28T04:04:26.310310+00:00)

## What it is
A collection of Jupyter Notebook code samples and starter templates for Azure OpenAI Service and Azure AI Foundry, complementing the OpenAI cookbook. It includes agent-based solution examples such as customer support and release management architectures.

## Use cases
- learn how to use Azure OpenAI models like GPT-4 and DALL-E
- build multi-agent customer support solutions
- automate release management with AI agents
- get started with Azure AI Foundry agent service
- find example code for deploying OpenAI models on Azure
- explore agentic workflow patterns

## When to choose
- you are building on Azure OpenAI or Azure AI Foundry and want working sample code
- you need starter templates for agent-based architectures
- you want practical notebooks complementing the OpenAI cookbook

## When to avoid
- you need production-ready, fully supported software rather than samples
- you are not using Azure's AI services
- you need a self-contained library with a stable API

## Facets
- artifact type: learning-resource
- maturity: active
- function: llm-inference, agent-framework, rag, machine-learning
- domain: artificial-intelligence, large-language-models, developer-tools, tutorials
- platform: python, cloud, cross-platform
- tags: azure-openai, azure-ai-foundry, samples, jupyter-notebooks, openai-cookbook, gpt-4, agents, ai-agents

## Member repositories
- Azure-Samples/openai (main) score 74

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:26.310310+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:43:04.480603+00:00, confidence not recorded.
  - readme: https://github.com/Azure-Samples/openai (fetched 2026-08-28T04:04:26.310310+00:00, sha c2d01e5f2611)
- Data as of 2026-08-30T08:39:29.467469+00:00.