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use DefaultAzureCredential instead of AzureCliCredential (#3860)
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@@ -23,9 +23,12 @@ await using var mcpClient = await McpClient.CreateAsync(new StdioClientTransport
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// Retrieve the list of tools available on the GitHub server
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var mcpTools = await mcpClient.ListToolsAsync().ConfigureAwait(false);
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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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AIAgent agent = new AzureOpenAIClient(
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new Uri(endpoint),
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new AzureCliCredential())
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new DefaultAzureCredential())
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.GetChatClient(deploymentName)
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.AsAIAgent(instructions: "You answer questions related to GitHub repositories only.", tools: [.. mcpTools.Cast<AITool>()]);
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@@ -46,9 +46,12 @@ await using var mcpClient = await McpClient.CreateAsync(transport, loggerFactory
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// Retrieve the list of tools available on the GitHub server
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var mcpTools = await mcpClient.ListToolsAsync().ConfigureAwait(false);
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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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AIAgent agent = new AzureOpenAIClient(
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new Uri(endpoint),
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new AzureCliCredential())
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new DefaultAzureCredential())
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.GetChatClient(deploymentName)
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.AsAIAgent(instructions: "You answer questions related to the weather.", tools: [.. mcpTools]);
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+4
-1
@@ -13,7 +13,10 @@ var endpoint = Environment.GetEnvironmentVariable("AZURE_FOUNDRY_PROJECT_ENDPOIN
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var model = Environment.GetEnvironmentVariable("AZURE_FOUNDRY_PROJECT_DEPLOYMENT_NAME") ?? "gpt-4.1-mini";
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// Get a client to create/retrieve server side agents with.
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var persistentAgentsClient = new PersistentAgentsClient(endpoint, new AzureCliCredential());
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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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var persistentAgentsClient = new PersistentAgentsClient(endpoint, new DefaultAzureCredential());
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// **** MCP Tool with Auto Approval ****
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// *************************************
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+5
-2
@@ -27,9 +27,12 @@ var mcpTool = new HostedMcpServerTool(
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};
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// Create an agent based on Azure OpenAI Responses as the backend.
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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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AIAgent agent = new AzureOpenAIClient(
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new Uri(endpoint),
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new AzureCliCredential())
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new DefaultAzureCredential())
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.GetResponsesClient(deploymentName)
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.AsAIAgent(
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instructions: "You answer questions by searching the Microsoft Learn content only.",
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@@ -56,7 +59,7 @@ var mcpToolWithApproval = new HostedMcpServerTool(
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// Create an agent based on Azure OpenAI Responses as the backend.
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AIAgent agentWithRequiredApproval = new AzureOpenAIClient(
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new Uri(endpoint),
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new AzureCliCredential())
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new DefaultAzureCredential())
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.GetResponsesClient(deploymentName)
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.AsAIAgent(
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instructions: "You answer questions by searching the Microsoft Learn content only.",
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