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<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<OutputType>Exe</OutputType>
<TargetFrameworks>net10.0</TargetFrameworks>
<Nullable>enable</Nullable>
<ImplicitUsings>enable</ImplicitUsings>
</PropertyGroup>
<ItemGroup>
<PackageReference Include="Microsoft.ML.OnnxRuntimeGenAI" />
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI\Microsoft.Agents.AI.csproj" />
</ItemGroup>
</Project>

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// Copyright (c) Microsoft. All rights reserved.
// This sample shows how to create and use a simple AI agent with ONNX as the backend.
// WARNING: ONNX doesn't support function calling, so any function tools passed to the agent will be ignored.
using Microsoft.Agents.AI;
using Microsoft.Extensions.AI;
using Microsoft.ML.OnnxRuntimeGenAI;
// E.g. C:\repos\Phi-4-mini-instruct-onnx\cpu_and_mobile\cpu-int4-rtn-block-32-acc-level-4
var modelPath = Environment.GetEnvironmentVariable("ONNX_MODEL_PATH") ?? throw new InvalidOperationException("ONNX_MODEL_PATH is not set.");
// Get a chat client for ONNX and use it to construct an AIAgent.
using OnnxRuntimeGenAIChatClient chatClient = new(modelPath);
AIAgent agent = chatClient.AsAIAgent(instructions: "You are good at telling jokes.", name: "Joker");
// Invoke the agent and output the text result.
Console.WriteLine(await agent.RunAsync("Tell me a joke about a pirate."));

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# Prerequisites
WARNING: ONNX doesn't support function calling, so any function tools passed to the agent will be ignored.
Before you begin, ensure you have the following prerequisites:
- .NET 10 SDK or later
- An ONNX model downloaded to your machine
You can download an ONNX model from hugging face, using git clone:
```powershell
git clone https://huggingface.co/microsoft/Phi-4-mini-instruct-onnx
```
Set the following environment variables:
```powershell
$env:ONNX_MODEL_PATH="C:\repos\Phi-4-mini-instruct-onnx\cpu_and_mobile\cpu-int4-rtn-block-32-acc-level-4" # Replace with your model path
```