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Merge pull request #4832 from jonburchel/release-build-foundry-local-updates
Release build foundry local Preview include and links
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articles/ai-foundry/foundry-local/concepts/foundry-local-architecture.md

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# Foundry Local architecture
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Foundry Local enables efficient, secure, and scalable AI model inference directly on your devices. This article explains the core components of Foundry Local and how they work together to deliver AI capabilities.
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Key benefits of Foundry Local include:

articles/ai-foundry/foundry-local/get-started.md

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# Get started with Foundry Local
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This guide walks you through setting up Foundry Local to run AI models on your device.
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## Prerequisites

articles/ai-foundry/foundry-local/how-to/how-to-chat-application-with-open-web-ui.md

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# Integrate Open Web UI with Foundry Local
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This tutorial shows you how to create a chat application using Foundry Local and Open Web UI. When you finish, you have a working chat interface running entirely on your local device.
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## Prerequisites

articles/ai-foundry/foundry-local/how-to/how-to-compile-hugging-face-models.md

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# Compile Hugging Face models to run on Foundry Local
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Foundry Local runs ONNX models on your device with high performance. While the model catalog offers _out-of-the-box_ precompiled options, you can use any model in the ONNX format.
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To compile existing models in Safetensor or PyTorch format into the ONNX format, you can use [Olive](https://microsoft.github.io/Olive). Olive is a tool that optimizes models to ONNX format, making them suitable for deployment in Foundry Local. It uses techniques like _quantization_ and _graph optimization_ to improve performance.

articles/ai-foundry/foundry-local/how-to/how-to-integrate-with-inference-sdks.md

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# Integrate inferencing SDKs with Foundry Local
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Foundry Local integrates with various inferencing SDKs - such as OpenAI, Azure OpenAI, Langchain, etc. This guide shows you how to connect your applications to locally running AI models using popular SDKs.
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## Prerequisites

articles/ai-foundry/foundry-local/how-to/how-to-use-langchain-with-foundry-local.md

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# Build a translation application with LangChain
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This tutorial shows you how to create an application using the Foundry Local SDK and [LangChain](https://www.langchain.com/langchain). In this tutorial, you build a translation application that translates text from one language to another that uses a local model.
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::: zone pivot="programming-language-python"
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---
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title: include file
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description: include file
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author: jonburchel
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ms.author: jburchel
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ms.service: azure-ai-foundry
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ms.topic: include
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ms.date: 05/19/2025
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ms.custom: include file
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---
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> [!IMPORTANT]
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> - Foundry Local is available in preview. Public preview releases provide early access to features that are in active deployment.
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> - Features, approaches, and processes can change or have limited capabilities, before General Availability (GA).

articles/ai-foundry/foundry-local/reference/reference-best-practice.md

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# Best practices and troubleshooting guide for Foundry Local
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This document provides best practices and troubleshooting tips for Foundry Local.
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## Security best practices

articles/ai-foundry/foundry-local/reference/reference-catalog-api.md

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# Catalog API Reference
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Foundry Local allows you to develop and integrate your own catalog service. This document provides guidance on:
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- The model format required for the catalog API.

articles/ai-foundry/foundry-local/reference/reference-cli.md

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# Foundry Local CLI Reference
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This article provides a comprehensive reference for the Foundry Local command-line interface (CLI). The CLI organizes commands into logical categories to help you manage models, control the service, and maintain your local cache.
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## Overview

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