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<Project Sdk="Microsoft.NET.Sdk">
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<PropertyGroup>
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<OutputType>Exe</OutputType>
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<TargetFrameworks>net10.0</TargetFrameworks>
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<Nullable>enable</Nullable>
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<ImplicitUsings>enable</ImplicitUsings>
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</PropertyGroup>
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<ItemGroup>
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<PackageReference Include="Microsoft.ML.OnnxRuntimeGenAI" />
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</ItemGroup>
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<ItemGroup>
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<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI\Microsoft.Agents.AI.csproj" />
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</ItemGroup>
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</Project>
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// Copyright (c) Microsoft. All rights reserved.
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// This sample shows how to create and use a simple AI agent with ONNX as the backend.
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// WARNING: ONNX doesn't support function calling, so any function tools passed to the agent will be ignored.
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using Microsoft.Agents.AI;
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using Microsoft.Extensions.AI;
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using Microsoft.ML.OnnxRuntimeGenAI;
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// E.g. C:\repos\Phi-4-mini-instruct-onnx\cpu_and_mobile\cpu-int4-rtn-block-32-acc-level-4
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var modelPath = Environment.GetEnvironmentVariable("ONNX_MODEL_PATH") ?? throw new InvalidOperationException("ONNX_MODEL_PATH is not set.");
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// Get a chat client for ONNX and use it to construct an AIAgent.
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using OnnxRuntimeGenAIChatClient chatClient = new(modelPath);
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AIAgent agent = chatClient.AsAIAgent(instructions: "You are good at telling jokes.", name: "Joker");
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// Invoke the agent and output the text result.
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Console.WriteLine(await agent.RunAsync("Tell me a joke about a pirate."));
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# Prerequisites
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WARNING: ONNX doesn't support function calling, so any function tools passed to the agent will be ignored.
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Before you begin, ensure you have the following prerequisites:
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- .NET 10 SDK or later
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- An ONNX model downloaded to your machine
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You can download an ONNX model from hugging face, using git clone:
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```powershell
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git clone https://huggingface.co/microsoft/Phi-4-mini-instruct-onnx
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```
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Set the following environment variables:
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```powershell
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$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
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```
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