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176 lines
8.5 KiB
C#
176 lines
8.5 KiB
C#
// Copyright (c) Microsoft. All rights reserved.
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// This sample shows how to add Retrieval Augmented Generation (RAG) capabilities to a hosted
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// agent using Azure AI Search. The sample assumes the search index has already been provisioned
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// and populated out of band (see README.md for the required schema and example seed content).
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// A SearchClient-backed adapter is plugged into TextSearchProvider, which runs a keyword search
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// against the index before each model invocation and injects the matching documents into the
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// model context.
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using Azure;
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using Azure.AI.Projects;
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using Azure.Core;
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using Azure.Identity;
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using Azure.Search.Documents;
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using Azure.Search.Documents.Models;
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using DotNetEnv;
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using Hosted_Shared_Contributor_Setup;
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using Microsoft.Agents.AI;
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using Microsoft.Agents.AI.Foundry.Hosting;
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using Microsoft.Extensions.AI;
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using OpenAI.Chat;
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// Load .env file if present (for local development)
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Env.TraversePath().Load();
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string projectEndpoint = Environment.GetEnvironmentVariable("FOUNDRY_PROJECT_ENDPOINT")
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?? throw new InvalidOperationException("FOUNDRY_PROJECT_ENDPOINT is not set.");
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string deploymentName = Environment.GetEnvironmentVariable("FOUNDRY_MODEL") ?? "gpt-4o";
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string searchEndpoint = Environment.GetEnvironmentVariable("AZURE_SEARCH_ENDPOINT")
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?? throw new InvalidOperationException("AZURE_SEARCH_ENDPOINT is not set.");
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string searchIndexName = Environment.GetEnvironmentVariable("AZURE_SEARCH_INDEX_NAME")
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?? throw new InvalidOperationException("AZURE_SEARCH_INDEX_NAME is not set.");
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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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// Use a chained credential. Try a temporary dev token first (for local Docker debugging),
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// then fall back to DefaultAzureCredential (for local dev via dotnet run / managed identity in
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// production). The dev credential is scope aware so a single instance serves both Foundry and
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// Azure AI Search clients (each Azure SDK client requests a token for its own audience).
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TokenCredential credential = new ChainedTokenCredential(
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new DevTemporaryTokenCredential(),
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new DefaultAzureCredential());
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// Connect to the pre-provisioned search index. The caller is expected to have created the
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// index and populated it with documents matching the schema (id / content / sourceName /
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// sourceLink) before running this sample. See README.md for an example provisioning script.
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var searchClient = new SearchClient(new Uri(searchEndpoint), searchIndexName, credential);
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TextSearchProviderOptions textSearchOptions = new()
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{
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SearchTime = TextSearchProviderOptions.TextSearchBehavior.BeforeAIInvoke,
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RecentMessageMemoryLimit = 6,
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};
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AIAgent agent = new AIProjectClient(new Uri(projectEndpoint), credential)
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.AsAIAgent(new ChatClientAgentOptions
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{
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Name = Environment.GetEnvironmentVariable("AGENT_NAME") ?? "hosted-azure-search-rag",
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ChatOptions = new ChatOptions
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{
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ModelId = deploymentName,
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Instructions = "You are a helpful support specialist for Contoso Outdoors. " +
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"Answer questions using the provided context and cite the source document when available.",
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},
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AIContextProviders = [new TextSearchProvider(CreateSearchAdapter(searchClient), textSearchOptions)]
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});
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// Host the agent as a Foundry Hosted Agent using the Responses API.
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var builder = WebApplication.CreateBuilder(args);
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builder.Services.AddFoundryResponses(agent);
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var app = builder.Build();
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app.MapFoundryResponses();
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// Contributor-only: in Development, also map the per-agent OpenAI route shape that live Foundry uses
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// so a local REPL client can target this server via AIProjectClient.AsAIAgent(Uri agentEndpoint).
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// Do not use this in production. Hosted Foundry agents only support the agent-endpoint path.
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app.MapDevTemporaryLocalAgentEndpoint();
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app.Run();
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// ── Search adapter ───────────────────────────────────────────────────────────
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// Wraps a SearchClient as the delegate TextSearchProvider expects. Keyword/full-text only;
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// no embeddings. Returns the top results and projects them into TextSearchResult entries
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// the provider will inject into the model context.
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static Func<string, CancellationToken, Task<IEnumerable<TextSearchProvider.TextSearchResult>>>
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CreateSearchAdapter(SearchClient client, int top = 3) =>
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async (query, cancellationToken) =>
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{
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var options = new SearchOptions { Size = top };
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Response<SearchResults<SearchDocument>> response =
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await client.SearchAsync<SearchDocument>(query, options, cancellationToken).ConfigureAwait(false);
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var results = new List<TextSearchProvider.TextSearchResult>();
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await foreach (SearchResult<SearchDocument> hit in response.Value.GetResultsAsync().WithCancellation(cancellationToken).ConfigureAwait(false))
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{
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results.Add(new TextSearchProvider.TextSearchResult
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{
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SourceName = hit.Document.TryGetValue("sourceName", out var name) ? name?.ToString() ?? string.Empty : string.Empty,
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SourceLink = hit.Document.TryGetValue("sourceLink", out var link) ? link?.ToString() ?? string.Empty : string.Empty,
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Text = hit.Document.TryGetValue("content", out var content) ? content?.ToString() ?? string.Empty : string.Empty,
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RawRepresentation = hit
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});
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}
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return results;
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};
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/// <summary>
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/// A scope aware <see cref="TokenCredential"/> for local Docker debugging only.
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/// Reads pre-fetched bearer tokens from environment variables, dispensing the right token
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/// based on the requested scope:
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/// <list type="bullet">
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/// <item><description><c>ai.azure.com</c> scopes -> <c>AZURE_BEARER_TOKEN_FOUNDRY</c></description></item>
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/// <item><description><c>search.azure.com</c> scopes -> <c>AZURE_BEARER_TOKEN_SEARCH</c></description></item>
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/// </list>
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/// For any other scope, throws <see cref="CredentialUnavailableException"/> so a chained
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/// credential will fall through. This should NOT be used in production: tokens expire (~1 hour)
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/// and cannot be refreshed.
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///
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/// Generate the tokens on your host and pass them to the container:
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/// <code>
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/// export AZURE_BEARER_TOKEN_FOUNDRY=$(az account get-access-token --resource https://ai.azure.com --query accessToken -o tsv)
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/// export AZURE_BEARER_TOKEN_SEARCH=$(az account get-access-token --resource https://search.azure.com --query accessToken -o tsv)
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/// docker run -e AZURE_BEARER_TOKEN_FOUNDRY -e AZURE_BEARER_TOKEN_SEARCH ...
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/// </code>
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/// </summary>
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internal sealed class DevTemporaryTokenCredential : TokenCredential
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{
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private const string FoundryEnvironmentVariable = "AZURE_BEARER_TOKEN_FOUNDRY";
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private const string SearchEnvironmentVariable = "AZURE_BEARER_TOKEN_SEARCH";
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public override AccessToken GetToken(TokenRequestContext requestContext, CancellationToken cancellationToken)
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=> Resolve(requestContext.Scopes);
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public override ValueTask<AccessToken> GetTokenAsync(TokenRequestContext requestContext, CancellationToken cancellationToken)
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=> new(Resolve(requestContext.Scopes));
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private static AccessToken Resolve(IReadOnlyList<string> scopes)
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{
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string? envVar = null;
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foreach (var scope in scopes)
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{
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if (scope.Contains("search.azure.com", StringComparison.OrdinalIgnoreCase))
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{
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envVar = SearchEnvironmentVariable;
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break;
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}
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if (scope.Contains("ai.azure.com", StringComparison.OrdinalIgnoreCase))
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{
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envVar = FoundryEnvironmentVariable;
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break;
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}
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}
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if (envVar is null)
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{
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throw new CredentialUnavailableException(
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$"DevTemporaryTokenCredential cannot serve scopes [{string.Join(", ", scopes)}]; falling through.");
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}
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var token = Environment.GetEnvironmentVariable(envVar);
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if (string.IsNullOrEmpty(token) || string.Equals(token, "DefaultAzureCredential", StringComparison.Ordinal))
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{
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throw new CredentialUnavailableException(
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$"{envVar} environment variable is not set; falling through to next credential.");
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}
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return new AccessToken(token, DateTimeOffset.UtcNow.AddHours(1));
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}
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}
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