Revert ".NET: Support hosted code interpreter for skill script execution (#4192)" (#4385)

This reverts commit c9cd067be6.
This commit is contained in:
SergeyMenshykh
2026-03-02 12:50:44 +00:00
committed by GitHub
parent de791fb8a9
commit 26cef555ce
22 changed files with 66 additions and 702 deletions
@@ -22,9 +22,6 @@ string deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYM
var skillsProvider = new FileAgentSkillsProvider(skillPath: Path.Combine(AppContext.BaseDirectory, "skills"));
// --- 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
@@ -1,28 +0,0 @@
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<OutputType>Exe</OutputType>
<TargetFrameworks>net10.0</TargetFrameworks>
<Nullable>enable</Nullable>
<ImplicitUsings>enable</ImplicitUsings>
<NoWarn>$(NoWarn);MAAI001</NoWarn>
</PropertyGroup>
<ItemGroup>
<PackageReference Include="Azure.AI.OpenAI" />
<PackageReference Include="Azure.Identity" />
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
</ItemGroup>
<!-- Copy skills directory to output -->
<ItemGroup>
<None Include="skills\**\*.*">
<CopyToOutputDirectory>PreserveNewest</CopyToOutputDirectory>
</None>
</ItemGroup>
</Project>
@@ -1,49 +0,0 @@
// 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");
@@ -1,72 +0,0 @@
# Script Execution with Code Interpreter
This sample demonstrates how to use **Agent Skills** with **script execution** via the hosted code interpreter.
## What's Different from Step01?
In the [basic skills sample](../Agent_Step01_BasicSkills/), skills only provide instructions and resources as text. This sample adds **script execution** — the agent can load Python scripts from skill resources and execute them using the LLM provider's built-in code interpreter.
This is enabled by configuring `FileAgentSkillScriptExecutor.HostedCodeInterpreter()` on the skills provider options:
```csharp
var skillsProvider = new FileAgentSkillsProvider(
skillPath: Path.Combine(AppContext.BaseDirectory, "skills"),
options: new FileAgentSkillsProviderOptions
{
ScriptExecutor = FileAgentSkillScriptExecutor.HostedCodeInterpreter()
});
```
## Skills Included
### password-generator
Generates secure passwords using a Python script with configurable length and complexity.
- `scripts/generate.py` — Password generation script
- `references/PASSWORD_GUIDELINES.md` — Recommended length and symbol sets by use case
## Project Structure
```
Agent_Step02_ScriptExecutionWithCodeInterpreter/
├── Program.cs
├── Agent_Step02_ScriptExecutionWithCodeInterpreter.csproj
└── skills/
└── password-generator/
├── SKILL.md
├── scripts/
│ └── generate.py
└── references/
└── PASSWORD_GUIDELINES.md
```
## Running the Sample
### Prerequisites
- .NET 10.0 SDK
- Azure OpenAI endpoint with a deployed model that supports code interpreter
### Setup
1. Set environment variables:
```bash
export AZURE_OPENAI_ENDPOINT="https://your-endpoint.openai.azure.com/"
export AZURE_OPENAI_DEPLOYMENT_NAME="gpt-4o-mini"
```
2. Run the sample:
```bash
dotnet run
```
### Example
The sample asks the agent to generate a secure password. The agent:
1. Loads the password-generator skill
2. Reads the `generate.py` script via `read_skill_resource`
3. Executes the script using the code interpreter with appropriate parameters
4. Returns the generated password
## Learn More
- [Agent Skills Specification](https://agentskills.io/)
- [Step01: Basic Skills](../Agent_Step01_BasicSkills/) — Skills without script execution
- [Microsoft Agent Framework Documentation](../../../../../docs/)
@@ -1,16 +0,0 @@
---
name: password-generator
description: Generate secure passwords using a Python script. Use when asked to create passwords or credentials.
---
# Password Generator
This skill generates secure passwords using a Python script.
## Usage
When the user requests a password:
1. First, review `references/PASSWORD_GUIDELINES.md` to determine the recommended password length and character sets for the user's use case
2. Load `scripts/generate.py` and adjust its parameters (length, character set) based on the guidelines and user's requirements
3. Execute the script
4. Present the generated password clearly
@@ -1,24 +0,0 @@
# Password Generation Guidelines
## General Rules
- Never reuse passwords across services.
- Always use cryptographically secure randomness (e.g., `random.SystemRandom()`).
- Avoid dictionary words, keyboard patterns, and personal information.
## Recommended Settings by Use Case
| Use Case | Min Length | Character Set | Example |
|-----------------------|-----------|----------------------------------------|--------------------------|
| Web account | 16 | Upper + lower + digits + symbols | `G7!kQp@2xM#nW9$z` |
| Database credential | 24 | Upper + lower + digits + symbols | `aR3$vK8!mN2@pQ7&xL5#wY` |
| Wi-Fi / network key | 20 | Upper + lower + digits + symbols | `Ht4&jL9!rP2#mK7@xQ` |
| API key / token | 32 | Upper + lower + digits (no symbols) | `k8Rm3xQ7nW2pL9vT4jH6yA` |
| Encryption passphrase | 32 | Upper + lower + digits + symbols | `Xp4!kR8@mN2#vQ7&jL9$wT` |
## Symbol Sets
- **Standard symbols**: `!@#$%^&*()-_=+`
- **Extended symbols**: `~`{}[]|;:'",.<>?/\`
- **Safe symbols** (URL/shell-safe): `!@#$&*-_=+`
- If the target system restricts symbols, use only the **safe** set.
@@ -1,11 +0,0 @@
# Password generator script
# Usage: Adjust 'length' as needed, then run
import random
import string
length = 16 # desired length
pool = string.ascii_lowercase + string.ascii_uppercase + string.digits + string.punctuation
password = "".join(random.SystemRandom().choice(pool) for _ in range(length))
print(f"Generated password ({length} chars): {password}")
@@ -5,4 +5,3 @@ Samples demonstrating Agent Skills capabilities.
| Sample | Description |
|--------|-------------|
| [Agent_Step01_BasicSkills](Agent_Step01_BasicSkills/) | Using Agent Skills with a ChatClientAgent, including progressive disclosure and skill resources |
| [Agent_Step02_ScriptExecutionWithCodeInterpreter](Agent_Step02_ScriptExecutionWithCodeInterpreter/) | Using Agent Skills with script execution via the hosted code interpreter |