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PoplarML is a platform that enables the deployment of production-ready, scalable ML systems with minimal engineering effort. It offers one-click deploys, real-time inference, and framework agnostic support. With PoplarML, users can seamlessly deploy ML models using a CLI tool to a fleet of GPUs and invoke their models through a REST API endpoint. The platform supports Tensorflow, Pytorch, and JAX models.

This repository serves as a reference implementation for running a chat application and an AI orchestration layer using Azure AI Foundry Agent service and OpenAI foundation models. It covers common generative AI chat application characteristics such as creating agents, querying data stores, chat memory database, orchestration logic, and calling language models. The implementation also includes production requirements like network isolation, Azure AI Foundry Agent Service dependencies, availability zone reliability, and limiting egress network traffic with Azure Firewall.