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This commit is contained in:
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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="Azure.Identity" />
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<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
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<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Hyperlight\Microsoft.Agents.AI.Hyperlight.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 use HyperlightCodeActProvider as a sandboxed Python
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// code interpreter: the model can write and execute arbitrary Python code to
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// answer quantitative questions without calling any additional tools.
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using Azure.AI.Projects;
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using Azure.Identity;
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using Microsoft.Agents.AI;
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using Microsoft.Agents.AI.Hyperlight;
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var endpoint = Environment.GetEnvironmentVariable("FOUNDRY_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("FOUNDRY_PROJECT_ENDPOINT is not set.");
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var deploymentName = Environment.GetEnvironmentVariable("FOUNDRY_MODEL") ?? "gpt-5.4-mini";
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var guestPath = Environment.GetEnvironmentVariable("HYPERLIGHT_PYTHON_GUEST_PATH") ?? throw new InvalidOperationException("HYPERLIGHT_PYTHON_GUEST_PATH is not set.");
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using var codeAct = new HyperlightCodeActProvider(HyperlightCodeActProviderOptions.CreateForWasm(guestPath));
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// WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
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// In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
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// latency issues, unintended credential probing, and potential security risks from fallback mechanisms.
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AIAgent agent = new AIProjectClient(
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new Uri(endpoint),
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new DefaultAzureCredential())
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.AsAIAgent(new ChatClientAgentOptions()
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{
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ChatOptions = new() { ModelId = deploymentName, Instructions = "You are a helpful assistant. When the user asks something quantitative, write Python and call `execute_code` instead of guessing." },
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AIContextProviders = [codeAct],
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});
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Console.WriteLine(await agent.RunAsync("What is the 20th Fibonacci number?"));
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Console.WriteLine(await agent.RunAsync("Compute the mean and standard deviation of [1, 4, 9, 16, 25, 36]."));
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# AgentWithCodeAct_Step01_Interpreter
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A minimal CodeAct sample. The agent uses `HyperlightCodeActProvider` as a
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sandboxed Python interpreter: when the user asks something quantitative, the
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model writes Python and invokes the `execute_code` tool rather than answering
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from memory.
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## Configuration
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| Variable | Description |
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|--------------------------------|-------------------------------------------------------------------------------------------|
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| `AZURE_OPENAI_ENDPOINT` | Azure OpenAI endpoint. Required. |
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| `AZURE_OPENAI_DEPLOYMENT_NAME` | Azure OpenAI deployment. Defaults to `gpt-5.4-mini`. |
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| `HYPERLIGHT_PYTHON_GUEST_PATH` | Absolute path to the Hyperlight Python guest module (`.wasm` or `.aot` file). Required. |
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Authentication uses `DefaultAzureCredential`.
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## Getting the guest module
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The Python guest module is built from the
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[hyperlight-dev/hyperlight-sandbox](https://github.com/hyperlight-dev/hyperlight-sandbox)
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repository — see its README for the exact `cargo`/`just` invocations and
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the location of the resulting `.wasm` / `.aot` file. Set
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`HYPERLIGHT_PYTHON_GUEST_PATH` to the absolute path of that artifact
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before running the sample.
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Hyperlight requires a hardware virtualization back end on the host:
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KVM on Linux or WHP (Windows Hypervisor Platform) on Windows.
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## Run
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```shell
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cd AgentWithCodeAct_Step01_Interpreter
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dotnet run
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```
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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="Azure.Identity" />
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<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
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<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Hyperlight\Microsoft.Agents.AI.Hyperlight.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 use HyperlightCodeActProvider with provider-owned
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// tools (exposed inside the sandbox via `call_tool(...)`). The model can
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// orchestrate those tools in a single Python block, reducing round-trips. A
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// sensitive tool (`send_email`) is additionally wrapped in
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// ApprovalRequiredAIFunction so any code that reaches it requires user approval
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// for the entire execute_code invocation.
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using Azure.AI.Projects;
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using Azure.Identity;
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using Microsoft.Agents.AI;
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using Microsoft.Agents.AI.Hyperlight;
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using Microsoft.Extensions.AI;
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var endpoint = Environment.GetEnvironmentVariable("FOUNDRY_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("FOUNDRY_PROJECT_ENDPOINT is not set.");
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var deploymentName = Environment.GetEnvironmentVariable("FOUNDRY_MODEL") ?? "gpt-5.4-mini";
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var guestPath = Environment.GetEnvironmentVariable("HYPERLIGHT_PYTHON_GUEST_PATH") ?? throw new InvalidOperationException("HYPERLIGHT_PYTHON_GUEST_PATH is not set.");
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AIFunction fetchDocs = AIFunctionFactory.Create(
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(string topic) => $"Docs for {topic}: (...)",
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name: "fetch_docs",
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description: "Fetch documentation for a given topic.");
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AIFunction queryData = AIFunctionFactory.Create(
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(string query) => $"Rows for `{query}`: []",
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name: "query_data",
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description: "Run a read-only SQL-like query against the sample store.");
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AIFunction sendEmail = new ApprovalRequiredAIFunction(
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AIFunctionFactory.Create(
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(string to, string subject) => $"Sent '{subject}' to {to}.",
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name: "send_email",
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description: "Send an email on behalf of the user."));
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var options = HyperlightCodeActProviderOptions.CreateForWasm(guestPath);
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options.Tools = [fetchDocs, queryData, sendEmail];
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using var codeAct = new HyperlightCodeActProvider(options);
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// WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
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// In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
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// latency issues, unintended credential probing, and potential security risks from fallback mechanisms.
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AIAgent agent = new AIProjectClient(
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new Uri(endpoint),
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new DefaultAzureCredential())
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.AsAIAgent(new ChatClientAgentOptions()
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{
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ChatOptions = new() { ModelId = deploymentName, Instructions = "You are a helpful assistant. Prefer orchestrating your work in a single `execute_code` block using `call_tool(...)` over issuing many direct tool calls." },
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AIContextProviders = [codeAct],
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});
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Console.WriteLine(await agent.RunAsync("Look up docs on 'retries' and query the 'orders' table, then summarize."));
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# AgentWithCodeAct_Step02_ToolEnabled
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Demonstrates adding provider-owned tools to `HyperlightCodeActProvider`. Those
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tools are **only** available to code running inside the sandbox via
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`call_tool("<name>", ...)` — they are never exposed to the model as direct
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tools. This lets the model orchestrate multiple tool calls in a single Python
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block.
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One tool (`send_email`) is wrapped in `ApprovalRequiredAIFunction`, which causes
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the entire `execute_code` invocation to require user approval when that tool
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is configured.
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## Configuration
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| Variable | Description |
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|--------------------------------|-------------------------------------------------------------------------------------------|
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| `AZURE_OPENAI_ENDPOINT` | Azure OpenAI endpoint. Required. |
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| `AZURE_OPENAI_DEPLOYMENT_NAME` | Azure OpenAI deployment. Defaults to `gpt-5.4-mini`. |
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| `HYPERLIGHT_PYTHON_GUEST_PATH` | Absolute path to the Hyperlight Python guest module (`.wasm` or `.aot` file). Required. |
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## Run
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```shell
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cd AgentWithCodeAct_Step02_ToolEnabled
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dotnet run
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```
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## Planned follow-up
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A more realistic "upload a file (e.g. an Excel workbook), have the agent
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analyze it with code" sample is planned as a separate step that will use
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`HostInputDirectory` together with a guest tool capable of reading the
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uploaded file. It will be added in a follow-up PR once the corresponding
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guest module support is in place.
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+17
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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="Azure.Identity" />
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<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
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<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Hyperlight\Microsoft.Agents.AI.Hyperlight.csproj" />
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</ItemGroup>
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</Project>
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+41
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// Copyright (c) Microsoft. All rights reserved.
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// This sample shows how to wire up CodeAct manually using
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// HyperlightExecuteCodeFunction rather than the AIContextProvider. Use this
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// when you want a fixed tool surface for the agent's lifetime and don't need
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// the per-run snapshot/registry semantics of HyperlightCodeActProvider.
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using Azure.AI.Projects;
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using Azure.Identity;
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using Microsoft.Agents.AI;
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using Microsoft.Agents.AI.Hyperlight;
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using Microsoft.Extensions.AI;
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var endpoint = Environment.GetEnvironmentVariable("FOUNDRY_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("FOUNDRY_PROJECT_ENDPOINT is not set.");
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var deploymentName = Environment.GetEnvironmentVariable("FOUNDRY_MODEL") ?? "gpt-5.4-mini";
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var guestPath = Environment.GetEnvironmentVariable("HYPERLIGHT_PYTHON_GUEST_PATH") ?? throw new InvalidOperationException("HYPERLIGHT_PYTHON_GUEST_PATH is not set.");
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AIFunction calculate = AIFunctionFactory.Create(
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(double a, double b) => a * b,
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name: "multiply",
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description: "Multiply two numbers.");
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var options = HyperlightCodeActProviderOptions.CreateForWasm(guestPath);
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options.Tools = [calculate];
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using var executeCode = new HyperlightExecuteCodeFunction(options);
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var instructions =
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"You are a helpful assistant. When math is involved, solve it by writing Python "
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+ "and calling `execute_code` instead of computing values yourself.\n\n"
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+ executeCode.BuildInstructions(toolsVisibleToModel: false);
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// WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
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// In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
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// latency issues, unintended credential probing, and potential security risks from fallback mechanisms.
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AIAgent agent = new AIProjectClient(
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new Uri(endpoint),
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new DefaultAzureCredential())
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.AsAIAgent(model: deploymentName, instructions: instructions, tools: [executeCode]);
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Console.WriteLine(await agent.RunAsync("What is 12.3 * 4.5? Use the multiply tool from within `execute_code`."));
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+21
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# AgentWithCodeAct_Step03_ManualWiring
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Shows how to wire CodeAct manually using `HyperlightExecuteCodeFunction` as a
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direct agent tool instead of via an `AIContextProvider`. This is useful when
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the sandbox's tool surface and capabilities are fixed for the agent's
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lifetime, avoiding per-run snapshot/restore of the provider registry.
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## Configuration
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| Variable | Description |
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|--------------------------------|-------------------------------------------------------------------------------------------|
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| `AZURE_OPENAI_ENDPOINT` | Azure OpenAI endpoint. Required. |
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| `AZURE_OPENAI_DEPLOYMENT_NAME` | Azure OpenAI deployment. Defaults to `gpt-5.4-mini`. |
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| `HYPERLIGHT_PYTHON_GUEST_PATH` | Absolute path to the Hyperlight Python guest module (`.wasm` or `.aot` file). Required. |
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## Run
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```shell
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cd AgentWithCodeAct_Step03_ManualWiring
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dotnet run
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```
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# Agent Framework CodeAct (Hyperlight) Samples
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These samples show how to enable an agent to write and execute code in a
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Hyperlight-backed sandbox via the CodeAct pattern. Guest code can be pure
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Python (interpreter mode) or orchestrate host-provided tools through
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`call_tool(...)` — all inside a secure sandbox with opt-in filesystem and
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network access.
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|Sample|Description|
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|---|---|
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|[Code interpreter](./AgentWithCodeAct_Step01_Interpreter/)|Uses `HyperlightCodeActProvider` as a sandboxed Python interpreter with no host tools.|
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|[Tool-enabled CodeAct](./AgentWithCodeAct_Step02_ToolEnabled/)|Registers provider-owned tools that guest code can orchestrate via `call_tool(...)`, with an approval-required tool for sensitive actions.|
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|[Manual wiring](./AgentWithCodeAct_Step03_ManualWiring/)|Uses `HyperlightExecuteCodeFunction` directly as an agent tool when the sandbox configuration is fixed.|
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All samples require a Hyperlight Python guest module. Set
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`HYPERLIGHT_PYTHON_GUEST_PATH` to its absolute path before running.
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Reference in New Issue
Block a user