chore: import upstream snapshot with attribution

2026-07-13 13:39:25 +08:00
commit db620d33df
5151 changed files with 925932 additions and 0 deletions
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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" />
+    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Harness\Microsoft.Agents.AI.Harness.csproj" />
+    <ProjectReference Include="..\Harness_Shared_Console\Harness_Shared_Console.csproj" />
+  </ItemGroup>
+
+  <ItemGroup>
+    <Content Include="working\**\*" CopyToOutputDirectory="PreserveNewest" />
+  </ItemGroup>
+
+</Project>
@@ -0,0 +1,103 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+// This sample demonstrates how to use a HarnessAgent with the default FileAccessProvider
+// to give an agent access to a folder of CSV data files. The agent can read, analyze,
+// and extract information from the data, then write results back as new files.
+//
+// The sample includes a pre-populated `working/` folder with sales transaction data.
+// The HarnessAgent's default FileAccessProvider uses `{cwd}/working` as its working directory,
+// which matches this sample's folder layout.
+// Ask the agent to analyze the data, produce summaries, or create new output files.
+//
+// Special commands:
+//   /exit — End the session.
+
+#pragma warning disable OPENAI001 // Suppress experimental API warnings for Responses API usage.
+#pragma warning disable MAAI001  // Suppress experimental API warnings for Agents AI experiments.
+
+using System.ClientModel.Primitives;
+using Azure.AI.Projects;
+using Azure.Identity;
+using Harness.Shared.Console;
+using Microsoft.Agents.AI;
+using Microsoft.Extensions.AI;
+
+var endpoint = Environment.GetEnvironmentVariable("FOUNDRY_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("FOUNDRY_PROJECT_ENDPOINT is not set.");
+var deploymentName = Environment.GetEnvironmentVariable("FOUNDRY_MODEL") ?? "gpt-5.4";
+
+const int MaxContextWindowTokens = 1_050_000;
+const int MaxOutputTokens = 128_000;
+const string TracingSourceName = "Harness.DataProcessing";
+
+// Set up OpenTelemetry tracing that writes spans to a text file.
+using var tracerProvider = HarnessTracing.CreateFileTracerProvider(TracingSourceName);
+
+var instructions =
+    """
+    You are a data analyst assistant. You have access to a folder of data files via the file_access_* tools.
+
+    ## Getting started
+    - Start by listing available files with file_access_ls to see what data is available.
+    - Read the files to understand their structure and contents.
+
+    ## Working with data
+    - When asked to analyze data, read the relevant files first, then perform the analysis.
+    - Show your analysis clearly with tables, summaries, and key insights.
+    - When calculations are needed, work through them step by step and show your reasoning.
+
+    ## Writing output
+    - When asked to produce output files (e.g., reports, summaries, filtered data), use file_access_write to write them.
+    - Use appropriate file formats: CSV for tabular data, Markdown for reports.
+    - Confirm what you wrote and where.
+
+    ## Important
+    - Never modify or delete the original input data files unless explicitly asked to do so.
+    - If asked about data you haven't read yet, read it first before answering.
+    - Always explain your reasoning and thought process as you work through tasks.
+    - Always explain what you learned and what you are going to do next between tool calls, so the user can follow along with your thought process.
+    """;
+
+// 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.
+// Create the agent using AsHarnessAgent. The FileAccessStore is explicitly set to the
+// sample's working/ folder (copied to the output directory) so it works regardless of cwd.
+// Unused features are disabled.
+AIAgent agent =
+    new AIProjectClient(
+        new Uri(endpoint),
+        new DefaultAzureCredential(),
+        new AIProjectClientOptions { RetryPolicy = new ClientRetryPolicy(3) })
+    .GetProjectOpenAIClient()
+    .GetResponsesClient()
+    .AsIChatClient(deploymentName)
+    .AsHarnessAgent(new HarnessAgentOptions
+    {
+        MaxContextWindowTokens = MaxContextWindowTokens,
+        MaxOutputTokens = MaxOutputTokens,
+        Name = "DataAnalyst",
+        Description = "A data analyst assistant that reads, analyzes, and processes data files.",
+        OpenTelemetrySourceName = TracingSourceName,
+        FileAccessStore = new FileSystemAgentFileStore(Path.Combine(AppContext.BaseDirectory, "working")),
+        ToolApprovalAgentOptions = new ToolApprovalAgentOptions()
+        {
+            // The HarnessAgent's FileAccessProvider requires approval for all file access operations.
+            // Add an auto-approval rule to skip prompts for specific operations (e.g., read-only access).
+            // You can also supply your own rule to implement custom approval logic.
+            AutoApprovalRules = [FileAccessProvider.ReadOnlyToolsAutoApprovalRule]
+        },
+        DisableTodoProvider = true,
+        DisableAgentModeProvider = true,
+        DisableFileMemory = true,   // If enabled, this would allow the agent to store memories as files in a directory associated with the current session
+        DisableWebSearch = true,
+        ChatOptions = new ChatOptions
+        {
+            Instructions = instructions,
+            MaxOutputTokens = MaxOutputTokens,
+        },
+    });
+
+// Run the interactive console session.
+await HarnessConsole.RunAgentAsync(
+    agent,
+    userPrompt: "Ask me to analyze the data files, produce summaries, or create output files.");
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+# What this sample demonstrates
+
+This sample demonstrates how to use a `HarnessAgent` with the default `FileAccessProvider` to give an agent access to a folder of data files for reading, analyzing, and writing results. The `HarnessAgent` pre-configures function invocation, per-service-call chat history persistence, in-loop compaction, tool approval, and OpenTelemetry — so the sample only needs to supply the chat client, token limits, custom instructions, and opt out of unused features.
+
+Key features showcased:
+
+- **HarnessAgent** — a pre-configured agent that wraps a `ChatClientAgent` with function invocation, per-service-call persistence, and context-window compaction
+- **FileAccessProvider** — the HarnessAgent's default file access provider uses `{cwd}/working` as its working directory, matching this sample's `working/` folder
+- **CSV data processing** — the agent reads sales transaction data and performs analysis on demand
+- **Output file creation** — the agent can write summaries, filtered data, or reports back to the data folder
+- **Streaming output** — responses are streamed token-by-token for a natural experience
+- **No planning mode** — this is a simple conversational sample focused on data interaction
+
+## Prerequisites
+
+Before running this sample, ensure you have:
+
+1. An Azure AI Foundry project with a deployed model (e.g., `gpt-5.4`)
+2. Azure CLI installed and authenticated (`az login`)
+
+## Environment Variables
+
+Set the following environment variables:
+
+```bash
+# Required: Your Azure AI Foundry OpenAI endpoint
+export AZURE_FOUNDRY_OPENAI_ENDPOINT="https://your-project.services.ai.azure.com/openai/v1/"
+
+# Optional: Model deployment name (defaults to gpt-5.4)
+export FOUNDRY_MODEL="gpt-5.4"
+```
+
+## Running the Sample
+
+```bash
+cd dotnet
+dotnet run --project samples/02-agents/Harness/Harness_Step03_DataProcessing
+```
+
+## What to Expect
+
+The sample starts an interactive conversation with a data analyst agent. The `working/` folder contains a `sales.csv` file with ~50 rows of sales transaction data (date, product, category, quantity, unit price, region, salesperson).
+
+You can ask the agent to:
+
+1. **List available files** — "What files do you have?"
+2. **Analyze the data** — "What are the total sales by region?" or "Which salesperson has the highest revenue?"
+3. **Create output files** — "Create a summary report as a markdown file" or "Write a CSV with monthly totals"
+4. **Search for patterns** — "Find all transactions over $1000"
+5. **Type `exit`** — to end the session
+
+E.g. try the following prompt `Please process the sales.csv file by first filtering it to only North region sales, and then calculating the sum of sales by person. I'd like to write the results of the processing to north_region_totals.csv`.
+
+## Sample Data
+
+The included `working/sales.csv` contains sales transactions from January to March 2025 with the following columns:
+
+| Column | Description |
+| --- | --- |
+| `date` | Transaction date (YYYY-MM-DD) |
+| `product` | Product name |
+| `category` | Product category (Electronics, Furniture, Stationery) |
+| `quantity` | Units sold |
+| `unit_price` | Price per unit |
+| `region` | Sales region (North, South, West) |
+| `salesperson` | Name of the salesperson |
@@ -0,0 +1,50 @@
+date,product,category,quantity,unit_price,region,salesperson
+2025-01-03,Laptop Pro 15,Electronics,2,1299.99,North,Alice
+2025-01-05,Ergonomic Chair,Furniture,5,349.50,South,Bob
+2025-01-07,Wireless Mouse,Electronics,12,24.99,North,Alice
+2025-01-08,Standing Desk,Furniture,1,599.00,West,Carol
+2025-01-10,USB-C Hub,Electronics,8,45.99,North,David
+2025-01-12,Monitor 27in,Electronics,3,429.00,South,Bob
+2025-01-14,Desk Lamp,Furniture,6,79.95,West,Carol
+2025-01-15,Keyboard Mech,Electronics,4,149.99,North,Alice
+2025-01-17,Filing Cabinet,Furniture,2,189.00,South,David
+2025-01-20,Webcam HD,Electronics,10,89.99,West,Bob
+2025-01-22,Laptop Pro 15,Electronics,1,1299.99,South,Carol
+2025-01-24,Ergonomic Chair,Furniture,3,349.50,North,Alice
+2025-01-25,Notebook Pack,Stationery,20,12.99,South,David
+2025-01-27,Wireless Mouse,Electronics,15,24.99,West,Carol
+2025-01-28,Whiteboard,Stationery,4,129.00,North,Bob
+2025-01-30,Standing Desk,Furniture,2,599.00,South,Alice
+2025-02-02,USB-C Hub,Electronics,6,45.99,West,David
+2025-02-04,Monitor 27in,Electronics,2,429.00,North,Carol
+2025-02-05,Desk Lamp,Furniture,8,79.95,South,Bob
+2025-02-07,Keyboard Mech,Electronics,5,149.99,West,Alice
+2025-02-09,Filing Cabinet,Furniture,1,189.00,North,David
+2025-02-11,Webcam HD,Electronics,7,89.99,South,Carol
+2025-02-13,Laptop Pro 15,Electronics,3,1299.99,West,Bob
+2025-02-15,Notebook Pack,Stationery,30,12.99,North,Alice
+2025-02-17,Ergonomic Chair,Furniture,4,349.50,South,David
+2025-02-19,Wireless Mouse,Electronics,20,24.99,North,Carol
+2025-02-20,Whiteboard,Stationery,2,129.00,West,Bob
+2025-02-22,Standing Desk,Furniture,1,599.00,North,Alice
+2025-02-24,USB-C Hub,Electronics,10,45.99,South,David
+2025-02-26,Monitor 27in,Electronics,4,429.00,West,Carol
+2025-02-28,Desk Lamp,Furniture,3,79.95,North,Bob
+2025-03-02,Keyboard Mech,Electronics,6,149.99,South,Alice
+2025-03-04,Filing Cabinet,Furniture,3,189.00,West,David
+2025-03-06,Webcam HD,Electronics,9,89.99,North,Carol
+2025-03-08,Laptop Pro 15,Electronics,2,1299.99,South,Bob
+2025-03-10,Notebook Pack,Stationery,25,12.99,West,Alice
+2025-03-12,Ergonomic Chair,Furniture,6,349.50,North,David
+2025-03-14,Wireless Mouse,Electronics,18,24.99,South,Carol
+2025-03-15,Whiteboard,Stationery,5,129.00,North,Bob
+2025-03-17,Standing Desk,Furniture,3,599.00,West,Alice
+2025-03-19,USB-C Hub,Electronics,7,45.99,North,David
+2025-03-21,Monitor 27in,Electronics,5,429.00,South,Carol
+2025-03-23,Desk Lamp,Furniture,4,79.95,West,Bob
+2025-03-25,Keyboard Mech,Electronics,3,149.99,North,Alice
+2025-03-27,Filing Cabinet,Furniture,2,189.00,South,David
+2025-03-28,Webcam HD,Electronics,11,89.99,West,Carol
+2025-03-29,Laptop Pro 15,Electronics,1,1299.99,North,Bob
+2025-03-30,Notebook Pack,Stationery,15,12.99,South,Alice
+2025-03-31,Ergonomic Chair,Furniture,2,349.50,West,David