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This commit is contained in:
wehub-resource-sync
2026-07-13 13:39:25 +08:00
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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="Azure.Identity" />
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
</ItemGroup>
</Project>
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// Copyright (c) Microsoft. All rights reserved.
// This sample shows how to download files generated by Code Interpreter using Microsoft Foundry.
// Code Interpreter generates files inside containers (cfile_ / cntr_ IDs) which cannot be
// downloaded via the standard Files API. Use ContainerClient from the project's OpenAI client instead.
#pragma warning disable OPENAI001
using Azure.AI.Projects;
using Azure.Identity;
using Microsoft.Agents.AI;
using Microsoft.Extensions.AI;
using OpenAI.Responses;
string endpoint = Environment.GetEnvironmentVariable("FOUNDRY_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("FOUNDRY_PROJECT_ENDPOINT is not set.");
string deploymentName = Environment.GetEnvironmentVariable("FOUNDRY_MODEL") ?? "gpt-4o-mini";
// 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.
AIProjectClient aiProjectClient = new(new Uri(endpoint), new DefaultAzureCredential());
// Create an agent with Code Interpreter tool enabled
AIAgent agent = aiProjectClient.AsAIAgent(
deploymentName,
instructions: "You are a helpful assistant that can generate files using code.",
name: "CodeInterpreterAgent",
tools: [new HostedCodeInterpreterTool()]);
// Ask the agent to generate a file
AgentResponse response = await agent.RunAsync(
"Create a CSV file with the multiplication times tables from 1 to 12. Include headers.");
// Display the text response
foreach (TextContent textContent in response.Messages.SelectMany(x => x.Contents).OfType<TextContent>())
{
Console.WriteLine(textContent.Text);
}
// Extract container file citations from response annotations and download.
// AIProjectClient.GetProjectOpenAIClient() returns a ProjectOpenAIClient (inherits from OpenAI.OpenAIClient)
// which supports GetContainerClient(), unlike AzureOpenAIClient which does not.
var containerClient = aiProjectClient.GetProjectOpenAIClient().GetContainerClient();
HashSet<string> downloadedFiles = [];
bool foundContainerFiles = false;
foreach (AIContent content in response.Messages.SelectMany(x => x.Contents))
{
if (content.Annotations is null)
{
continue;
}
foreach (AIAnnotation annotation in content.Annotations)
{
// Container files from Code Interpreter have ContainerFileCitationMessageAnnotation as raw representation
if (annotation is CitationAnnotation citation
&& citation.RawRepresentation is ContainerFileCitationMessageAnnotation containerCitation)
{
foundContainerFiles = true;
// Deduplicate by container+file ID in case the same file is cited multiple times
string key = $"{containerCitation.ContainerId}/{containerCitation.FileId}";
if (!downloadedFiles.Add(key))
{
continue;
}
Console.WriteLine($"\nDownloading container file: {containerCitation.Filename}");
Console.WriteLine($" Container ID: {containerCitation.ContainerId}");
Console.WriteLine($" File ID: {containerCitation.FileId}");
BinaryData fileData = await containerClient.DownloadContainerFileAsync(
containerCitation.ContainerId,
containerCitation.FileId);
// Sanitize filename to prevent path traversal
string safeFilename = Path.GetFileName(containerCitation.Filename);
string outputPath = Path.Combine(Directory.GetCurrentDirectory(), safeFilename);
await File.WriteAllBytesAsync(outputPath, fileData.ToArray());
Console.WriteLine($" Saved to: {outputPath}");
}
}
}
if (!foundContainerFiles)
{
Console.WriteLine("\nNo container file citations found in the response.");
Console.WriteLine("The model may not have generated a downloadable file for this prompt.");
}
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# Code Interpreter File Download (Microsoft Foundry)
This sample demonstrates how to download files generated by Code Interpreter when using Microsoft Foundry.
## What this sample demonstrates
- Creating an agent with Code Interpreter tool using `AIProjectClient.AsAIAgent()`
- Generating files through Code Interpreter (e.g., CSV, Excel, images)
- Extracting container file citations from agent response annotations
- Downloading container files using the `ContainerClient` via `AIProjectClient.GetProjectOpenAIClient()`
## Container files vs regular files
When Code Interpreter generates a file, the file is stored inside a **container** with a `cntr_` prefixed ID. The file itself gets a `cfile_` prefixed ID.
These container files **cannot** be downloaded using the standard Files API (`GetOpenAIFileClient`), which returns 404 for `cfile_` IDs. Instead, you must use the **Containers API** to download them.
### Getting the ContainerClient with Foundry
`AzureOpenAIClient.GetContainerClient()` is not supported and throws `InvalidOperationException`. Instead, use the project's OpenAI client which inherits directly from `OpenAI.OpenAIClient`:
```csharp
// ❌ AzureOpenAIClient does not support ContainerClient
var azureClient = new AzureOpenAIClient(endpoint, credential);
azureClient.GetContainerClient(); // Throws InvalidOperationException
// ✅ Use AIProjectClient's project OpenAI client
var containerClient = aiProjectClient.GetProjectOpenAIClient().GetContainerClient();
await containerClient.DownloadContainerFileAsync("cntr_...", "cfile_...");
```
The container ID and file ID are available from the `ContainerFileCitationMessageAnnotation` annotation in the response, accessible via `CitationAnnotation.RawRepresentation`.
## Prerequisites
- .NET 10 SDK or later
- Microsoft Foundry service endpoint and deployment configured
- An authenticated Azure identity (for example, sign in with `az login`)
Set the following environment variables:
```powershell
$env:FOUNDRY_PROJECT_ENDPOINT="https://your-foundry-service.services.ai.azure.com/api/projects/your-foundry-project"
$env:FOUNDRY_MODEL="gpt-4o-mini" # Optional, defaults to gpt-4o-mini
```
## Run the sample
```powershell
dotnet run
```
## See also
- [Code Interpreter File Download with OpenAI](../../openai/Agent_OpenAI_Step06_CodeInterpreterFileDownload/) — same scenario using Public OpenAI
- [Code Interpreter](../Agent_Step14_CodeInterpreter/) — Code Interpreter without file download