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.NET: Support hosted code interpreter for skill script execution (#4192)

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* support script execution by code interpretor

* improve the instruction prompt

* Add DefaultAzureCredential production warning to AgentSkills samples

Add the standard three-line WARNING comment about DefaultAzureCredential
production considerations to both AgentSkills sample Program.cs files,
matching the convention used in all other GettingStarted/Agents samples.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* address pr review comments

* address feedback

* rename Skill* types to FileAgentSkill* prefix for consistency

- Rename SkillFrontmatter -> FileAgentSkillFrontmatter
- Rename SkillScriptExecutor -> FileAgentSkillScriptExecutor
- Add FileAgentSkillScriptExecutionContext and FileAgentSkillScriptExecutionDetails
- Update sample, provider, loader, and tests accordingly

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* reorder usings

* use set for props initialization instead of init

* rename HostedCodeInterpreterSkillScriptExecutor

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
This commit is contained in:
SergeyMenshykh
2026-02-26 13:17:21 +00:00
committed by GitHub
co-authored by Copilot
parent 8e2cc4bedc
commit c9cd067be6
22 changed files with 702 additions and 66 deletions
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dotnet/samples/02-agents/AgentSkills/Agent_Step02_ScriptExecutionWithCodeInterpreter/Program.cs
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// Copyright (c) Microsoft. All rights reserved.
// This sample demonstrates how to use Agent Skills with script execution via the hosted code interpreter.
// When FileAgentSkillScriptExecutor.HostedCodeInterpreter() is configured, the agent can load and execute scripts
// from skill resources using the LLM provider's built-in code interpreter.
//
// This sample includes the password-generator skill:
// - A Python script for generating secure passwords
using Azure.AI.OpenAI;
using Azure.Identity;
using Microsoft.Agents.AI;
using OpenAI.Responses;
// --- Configuration ---
string endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT")
?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
string deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
// --- Skills Provider with Script Execution ---
// Discovers skills and enables script execution via the hosted code interpreter
var skillsProvider = new FileAgentSkillsProvider(
skillPath: Path.Combine(AppContext.BaseDirectory, "skills"),
options: new FileAgentSkillsProviderOptions
{
ScriptExecutor = FileAgentSkillScriptExecutor.HostedCodeInterpreter()
});
// --- Agent Setup ---
// WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
// In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
// latency issues, unintended credential probing, and potential security risks from fallback mechanisms.
AIAgent agent = new AzureOpenAIClient(new Uri(endpoint), new DefaultAzureCredential())
.GetResponsesClient(deploymentName)
.AsAIAgent(new ChatClientAgentOptions
{
Name = "SkillsAgent",
ChatOptions = new()
{
Instructions = "You are a helpful assistant that can generate secure passwords.",
},
AIContextProviders = [skillsProvider],
});
// --- Example: Password generation with script execution ---
Console.WriteLine("Example: Generating a password with a skill script");
Console.WriteLine("---------------------------------------------------");
AgentResponse response = await agent.RunAsync("Generate a secure password for my database account.");
Console.WriteLine($"Agent: {response.Text}\n");