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san360/agent-devops

AI Foundry Prompt Agent — DevOps & Lifecycle Management with versioned prompts, eval gates, and CI/CD

Python GitHub ↗
★ 0
stars
75
AI relevance
50
solo dev
0
tool sigs

SUMMARY AI summary by gpt-5-mini

This repository provides a complete CI/CD lifecycle for an Azure AI Foundry prompt agent. It's aimed at engineers and teams (ML engineers, DevOps, platform owners) building and operating prompt-driven agents who need reproducible versioning, evaluation gates, and rollback. Key features: - Versioned agent configs and system prompts, golden eval dataset, evaluator config, and unit tests. - Scripts to bootstrap Azure/GitHub infra (resource groups, Foundry projects, App Registration, federated credentials), deploy agents to TEST/PROD, run evaluations, compare models, and teardown. - Lifecycle demo with three phases: Phase 1 (web_search), Phase 2 (add code_interpreter + data analysis), Phase 3 (model upgrade to gpt-4.1) — each implemented as PRs that trigger CI. - CI workflows: PR evaluation gate (deploy to TEST, run Foundry evals, post results), deploy-to-PROD on merge, and daily monitoring for drift. - IaC (Bicep), artifacts for rollback, and automation for model availability validation and GitHub variable management.

DETECTED Detected AI stack

AI-related keywords found in this repo's description, topics, or README summary — grouped by category. Each badge links to the corresponding ranking detail page.

🤖 LLM models (1)
GPT-4
☁️ Cloud platforms (1)
Azure

Language breakdown (by bytes)

Bicep
2.9%
Shell
46.1%
Python
51%

Owner

Account
san360
Type
User
Followers
6

Dates

Created on GitHub 2026-05-15
Last push 2026-05-15
First seen here 2026-05-15
Last fetched 2026-05-16 16:11

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