Cadenza + Microsoft Agent Framework + Microsoft Foundry

A developer demonstrated how to quickly start coding with Cadenza by using a vibe coding prompt, then run the resulting .NET 10 file-based app with dotnet run or chmod +x. The example included creating a ping tool for Naver, an OpenAPI calculator with a frontend, and an AI agent console using Microsoft Agent Framework and Foundry.

다음과 같이 바이브코딩 프롬프트를 입력하면 쉽게 Cadenza 기반 코드를 빠르게 시작할 수 있습니다. 그 후, dotnet run 명령어나 chmod +x file.cs 명령어로 실행 권한을 부여한 다음 실행하면 손쉽게 실행할 수 있습니다. 먼저 https://raw.githubusercontent.com/rkttu/cadenza/main/README.ko.md 를 읽고, 거기 적힌 Cadenza 규칙 단일 .cs, shebang + :sdk 지시문, 정확한 버전 핀, Console 대신 ambient helper 을 그대로 지켜 .NET 10 파일 기반 앱으로 다음을 구현하고 dotnet run으로 실행해줘: 먼저 https://raw.githubusercontent.com/rkttu/cadenza/main/README.ko.md 를 읽고, 거기 적힌 Cadenza 규칙 단일 .cs, shebang + :sdk 지시문, 정확한 버전 핀, Console 대신 ambient helper 을 그대로 지켜 .NET 10 파일 기반 앱으로 다음을 구현하고 dotnet run으로 실행해줘: https://www.naver.com 사이트를 1초 간격으로 5회 https로 ping 하는 코드를 만들어줘. 먼저 https://raw.githubusercontent.com/rkttu/cadenza/main/README.ko.md 를 읽고, 거기 적힌 Cadenza 규칙 단일 .cs, shebang + :sdk 지시문, 정확한 버전 핀, Console 대신 ambient helper 을 그대로 지켜 .NET 10 파일 기반 앱으로 다음을 구현하고 dotnet run으로 실행해줘: 간단한 사칙 연산 계산기를 OpenAPI 형식으로 기능을 구현하고 프론트엔드 HTML 페이지를 담는 웹 사이트를 만들었으면 해. 먼저 https://raw.githubusercontent.com/rkttu/cadenza/main/README.ko.md 를 읽고, 거기 적힌 Cadenza 규칙 단일 .cs, shebang + :sdk 지시문, 정확한 버전 핀, Console 대신 ambient helper 을 그대로 지켜 .NET 10 파일 기반 앱으로 다음을 구현하고 dotnet run으로 실행해줘: 콘솔 형태로 사용할 수 있는 AI 에이전트를 만들려고 해. OPENAPI ENDPOINT, OPENAPI MODEL, OPENAPI KEY 라는 환경 변수를 미리 설정해두었고, 임의의 난수를 생성해서 반환하는 도구를 하나 내장한 에이전트를 만들려고 해. | /usr/bin/env dotnet run | | | :sdk Cadenza@1.0.15 | | | :package Azure.AI.Projects@2.0.1 | | | :package Microsoft.Agents.AI@1.10.0 | | | :package Microsoft.Agents.AI.Foundry@1.5.0 | | | :package Azure.Identity@1.21.0 | | | using Azure.AI.Projects; | | | using Azure.Identity; | | | using Microsoft.Extensions.AI; | | | // Last successful run context: | | | // - FOUNDRY PROJECT ENDPOINT | | | // - FOUNDRY MODEL DEPLOYMENT | | | // - AZURE TENANT ID | | | // - PATH included Azure CLI dir: C:\Program Files\Microsoft SDKs\Azure\CLI2\wbin | | | // Installed software used: | | | // - Microsoft Azure CLI az.cmd at C:\Program Files\Microsoft SDKs\Azure\CLI2\wbin\az.cmd | | | var endpoint = Env.Get "FOUNDRY PROJECT ENDPOINT" | | | ?? throw new InvalidOperationException "FOUNDRY PROJECT ENDPOINT environment variable is required." ; | | | var modelDeployment = Env.Get "FOUNDRY MODEL DEPLOYMENT" | | | ?? throw new InvalidOperationException "FOUNDRY MODEL DEPLOYMENT environment variable is required." ; | | | var projectClient = new AIProjectClient new Uri endpoint , new DefaultAzureCredential ; | | | var tools = new List<AITool | | | { | | | AITool AIFunctionFactory.Create | | | Func<string = DateTimeOffset.Now.ToString "O" , | | | name: "get current time", | | | description: "Returns the current local time in ISO-8601 format.", | | | serializerOptions: null | | | }; | | | var agent = projectClient.AsAIAgent | | | model: modelDeployment, | | | instructions: "You are a concise assistant. If the user asks for the current time, call get current time.", | | | name: "cadenza-file-agent-console", | | | description: "Single-file agent with a sample time tool and console chat.", | | | tools: tools ; | | | // Keep local transcript so each turn includes prior context. | | | var history = new List<ChatMessage ; | | | WriteLine "Console chat started. Type '/exit' to quit." ; | | | while true | | | { | | | Write "you " ; | | | var userInput = Console.ReadLine ; | | | if string.IsNullOrWhiteSpace userInput | | | { | | | continue; | | | } | | | if string.Equals userInput.Trim , "/exit", StringComparison.OrdinalIgnoreCase | | | { | | | WriteLine "bye." ; | | | break; | | | } | | | history.Add new ChatMessage ChatRole.User, userInput ; | | | var runResult = await agent.RunAsync history, session: null, options: null, cancellationToken: default ; | | | // AgentResponse concrete shape may evolve; reflect common output fields safely. | | | var resultType = runResult.GetType ; | | | var text = resultType.GetProperty "Text" ?.GetValue runResult ?.ToString ; | | | var answer = text ?? runResult.ToString ?? string.Empty; | | | WriteLine $"agent {answer}" ; | | | history.Add new ChatMessage ChatRole.Assistant, answer ; | | | } | | /usr/bin/env dotnet run | | | :sdk Cadenza@1.0.15 | | | :package Azure.AI.Projects@2.0.1 | | | :package Microsoft.Agents.AI@1.10.0 | | | :package Microsoft.Agents.AI.Foundry@1.5.0 | | | :package Azure.Identity@1.21.0 | | | // Last successful run context: | | | // - FOUNDRY PROJECT ENDPOINT | | | // - FOUNDRY MODEL DEPLOYMENT | | | // - AZURE TENANT ID | | | // - PATH included Azure CLI dir: C:\Program Files\Microsoft SDKs\Azure\CLI2\wbin | | | // Installed software used: | | | // - Microsoft Azure CLI az.cmd at C:\Program Files\Microsoft SDKs\Azure\CLI2\wbin\az.cmd | | | using Azure.AI.Projects; | | | using Azure.Identity; | | | var endpoint = Env.Get "FOUNDRY PROJECT ENDPOINT" | | | ?? throw new InvalidOperationException "FOUNDRY PROJECT ENDPOINT environment variable is required." ; | | | var modelDeployment = Env.Get "FOUNDRY MODEL DEPLOYMENT" | | | ?? throw new InvalidOperationException "FOUNDRY MODEL DEPLOYMENT environment variable is required." ; | | | var projectClient = new AIProjectClient new Uri endpoint , new DefaultAzureCredential ; | | | var agent = projectClient.AsAIAgent | | | model: modelDeployment, | | | instructions: "You are a concise assistant. Respond in one sentence.", | | | name: "cadenza-file-agent", | | | description: "Single-file agent built with Cadenza + Microsoft Agent Framework + Foundry." ; | | | var prompt = "Say exactly 'Cadenza Foundry Agent is running.'"; | | | var runResult = await agent.RunAsync prompt, session: null, options: null, cancellationToken: default ; | | | // AgentResponse concrete shape may evolve; reflect common output fields safely. | | | var resultType = runResult.GetType ; | | | var text = resultType.GetProperty "Text" ?.GetValue runResult ?.ToString ; | | | WriteLine $"Prompt: {prompt}" ; | | | WriteLine $"Response: {text ?? runResult.ToString }" ; | | /usr/bin/env dotnet run | | | :sdk Cadenza.Agent@1.0.15 | | | using System.ClientModel; | | | using OpenAI; | | | var endpoint = Env.Get "OPENAPI ENDPOINT" | | | ?? throw new InvalidOperationException "OPENAPI ENDPOINT environment variable is required." ; | | | var model = Env.Get "OPENAPI MODEL" | | | ?? throw new InvalidOperationException "OPENAPI MODEL environment variable is required." ; | | | var apiKey = Env.Get "OPENAPI KEY" | | | ?? throw new InvalidOperationException "OPENAPI KEY environment variable is required." ; | | | SystemPrompt """ | | | You are a helpful console AI assistant. | | | When users ask for randomness, prefer calling the random int tool. | | | Explain the generated random number briefly and clearly. | | | """ ; | | | Tool "random int", "Generate a random integer between min and max inclusive .", | | | int min, int max = | | | { | | | if min max | | | return new { min, max, value = int? null, error = "min must be less than or equal to max." }; | | | var value = Random.Shared.Next min, max + 1 ; | | | return new { min, max, value = int? value, error = string? null }; | | | } ; | | | var options = new OpenAIClientOptions | | | { | | | Endpoint = new Uri endpoint | | | }; | | | var chatClient = new OpenAI.Chat.ChatClient model, new ApiKeyCredential apiKey , options | | | .AsIChatClient ; | | | UseChatClient chatClient ; | | | WriteLine "Console AI agent is ready." ; | | | WriteLine "- Backend endpoint: " + endpoint ; | | | WriteLine "- Model: " + model ; | | | WriteLine "- Tool: random int min, max " ; | | | WriteLine ; | | | WriteLine "Usage:" ; | | | WriteLine "- dotnet run .\\agent console random.cs" ; | | | WriteLine " interactive REPL " ; | | | WriteLine "- dotnet run .\\agent console random.cs \"Generate a random number between 1 and 100\"" ; | | | WriteLine " one-shot response " ; | | | WriteLine ; | | | if args.Length 0 | | | { | | | var prompt = string.Join " ", args ; | | | var reply = await Reply prompt ; | | | WriteLine reply ; | | | return; | | | } | | | await ChatLoop ; | | /usr/bin/env dotnet run | | | :sdk Cadenza.Web@1.0.15 | | | using System.Globalization; | | | using Microsoft.AspNetCore.Http; | | | const string HtmlPage = """ | | | < doctype html | | | <html lang="en" | | | <head | | | <meta charset="utf-8" / | | | <meta name="viewport" content="width=device-width, initial-scale=1" / | | | <title Cadenza Calculator</title | | | <style | | | :root { | | | --bg: f4f7ff; | | | --panel: ffffff; | | | --ink: 1d2433; | | | --muted: 5f697d; | | | --accent: 0b7a57; | | | --line: d4ddef; | | | } | | | { box-sizing: border-box; } | | | body { | | | margin: 0; | | | min-height: 100vh; | | | display: grid; | | | place-items: center; | | | padding: 20px; | | | color: var --ink ; | | | font-family: "Segoe UI", Tahoma, sans-serif; | | | background: | | | radial-gradient circle at 10% 10%, e9f0ff 0%, transparent 40% , | | | radial-gradient circle at 90% 90%, def6ea 0%, transparent 35% , | | | var --bg ; | | | } | | | main { | | | width: min 760px, 100% ; | | | background: var --panel ; | | | border: 1px solid var --line ; | | | border-radius: 14px; | | | box-shadow: 0 14px 30px rgba 16, 34, 74, 0.12 ; | | | overflow: hidden; | | | } | | | header { | | | padding: 18px 20px; | | | border-bottom: 1px solid var --line ; | | | background: linear-gradient 135deg, f8fbff, eefaf4 ; | | | } | | | h1 { margin: 0; font-size: 1.35rem; } | | | p { margin: 8px 0 0; color: var --muted ; } | | | .content { padding: 20px; display: grid; gap: 12px; } | | | .row { display: grid; gap: 10px; grid-template-columns: 1fr 130px 1fr auto; } | | | input, select, button { font: inherit; } | | | input, select { | | | width: 100%; | | | border: 1px solid var --line ; | | | border-radius: 10px; | | | padding: 10px 12px; | | | background: fff; | | | } | | | button { | | | border: 0; | | | border-radius: 10px; | | | padding: 10px 14px; | | | background: var --accent ; | | | color: fff; | | | font-weight: 600; | | | cursor: pointer; | | | } | | | pre { | | | margin: 0; | | | min-height: 130px; | | | border: 1px solid var --line ; | | | border-radius: 10px; | | | padding: 12px; | | | background: fff; | | | overflow: auto; | | | } | | | .links { display: flex; gap: 12px; flex-wrap: wrap; } | | | .links a { color: var --accent ; text-underline-offset: 3px; } | | | @media max-width: 640px { .row { grid-template-columns: 1fr; } } | | | </style | | | </head | | | <body | | | <main | | | <header | | | <h1 Arithmetic Calculator</h1 | | | <p Cadenza.Web single-file app with OpenAPI JSON endpoint.</p | | | </header | | | <section class="content" | | | <div class="row" | | | <input id="a" type="number" step="any" value="12" aria-label="a" / | | | <select id="op" aria-label="op" | | | <option value="add" add + </option | | | <option value="sub" sub - </option | | | <option value="mul" mul </option | | | <option value="div" div / </option | | | </select | | | <input id="b" type="number" step="any" value="3" aria-label="b" / | | | <button id="run" type="button" Calculate</button | | | </div | | | <pre id="result" No calculation yet.</pre | | | <div class="links" | | | <a href="/openapi/v1.json" target=" blank" rel="noreferrer" OpenAPI JSON</a | | | <a href="/api/calc?a=12&b=3&op=div" target=" blank" rel="noreferrer" Sample API call</a | | | </div | | | </section | | | </main | | | <script | | | const resultEl = document.getElementById 'result' ; | | | const runBtn = document.getElementById 'run' ; | | | runBtn.addEventListener 'click', async = { | | | const a = document.getElementById 'a' .value; | | | const b = document.getElementById 'b' .value; | | | const op = document.getElementById 'op' .value; | | | const url = /api/calc?a=${encodeURIComponent a }&b=${encodeURIComponent b }&op=${encodeURIComponent op } ; | | | resultEl.textContent = 'Calculating...'; | | | try { | | | const response = await fetch url ; | | | const data = await response.json ; | | | resultEl.textContent = JSON.stringify data, null, 2 ; | | | } catch err { | | | resultEl.textContent = String err ; | | | } | | | } ; | | | </script | | | </body | | | </html | | | """; | | | const string OpenApiJson = """ | | | { | | | "openapi": "3.0.3", | | | "info": { | | | "title": "Cadenza Arithmetic Calculator API", | | | "version": "1.0.0", | | | "description": "Simple arithmetic operations: add, sub, mul, div" | | | }, | | | "servers": | | | { "url": "http://localhost:8080" } | | | , | | | "paths": { | | | "/api/calc": { | | | "get": { | | | "summary": "Calculate with query parameters", | | | "parameters": | | | { "name": "a", "in": "query", "required": true, "schema": { "type": "number", "format": "double" } }, | | | { "name": "b", "in": "query", "required": true, "schema": { "type": "number", "format": "double" } }, | | | { "name": "op", "in": "query", "required": true, "schema": { "type": "string", "enum": "add", "sub", "mul", "div" } } | | | , | | | "responses": { | | | "200": { "description": "Calculation succeeded" }, | | | "400": { "description": "Invalid input" } | | | } | | | } | | | } | | | } | | | } | | | """; | | | Get "/", = Results.Content HtmlPage, "text/html; charset=utf-8" ; | | | Get "/api/calc", string a, string b, string op = | | | { | | | if double.TryParse a, NumberStyles.Float, CultureInfo.InvariantCulture, out var left | | | return Results.BadRequest new { error = "Parameter 'a' must be a valid number." } ; | | | if double.TryParse b, NumberStyles.Float, CultureInfo.InvariantCulture, out var right | | | return Results.BadRequest new { error = "Parameter 'b' must be a valid number." } ; | | | var normalized = NormalizeOp op ; | | | if TryCalculate left, right, normalized, out var result, out var error | | | return Results.BadRequest new { error } ; | | | return Results.Ok new | | | { | | | a = left, | | | b = right, | | | op = normalized, | | | expression = $"{left} {OpSymbol normalized } {right}", | | | result | | | } ; | | | } ; | | | Get "/openapi/v1.json", = Results.Content OpenApiJson, "application/json; charset=utf-8" ; | | | await Run ; | | | static bool TryCalculate double a, double b, string op, out double value, out string error | | | { | | | value = 0; | | | error = string.Empty; | | | switch op | | | { | | | case "add": | | | value = a + b; | | | return true; | | | case "sub": | | | value = a - b; | | | return true; | | | case "mul": | | | value = a b; | | | return true; | | | case "div": | | | if b == 0 | | | { | | | error = "Division by zero is not allowed."; | | | return false; | | | } | | | value = a / b; | | | return true; | | | default: | | | error = "Parameter 'op' must be one of: add, sub, mul, div."; | | | return false; | | | } | | | } | | | static string NormalizeOp string? op = | | | op ?? string.Empty .Trim .ToLowerInvariant switch | | | { | | | "+" = "add", | | | "-" = "sub", | | | " " = "mul", | | | "/" = "div", | | | var x = x, | | | }; | | | static string OpSymbol string op = op switch | | | { | | | "add" = "+", | | | "sub" = "-", | | | "mul" = " ", | | | "div" = "/", | | | = "?" | | | }; | | { | | | "servers": { | | | "brave-search": { | | | "command": "npx", | | | "args": | | | "-y", | | | "@brave/brave-search-mcp-server", | | | "--transport", | | | "stdio" | | | , | | | "env": { | | | "BRAVE API KEY": "${input:brave api key}" | | | }, | | | "type": "stdio" | | | }, | | | "handmirrormcp": { | | | "type": "stdio", | | | "command": "dnx", | | | "args": "HandMirrorMcp@0.1.1", "--yes" | | | }, | | | "microsoft-learn": { | | | "type": "http", | | | "url": "https://learn.microsoft.com/api/mcp" | | | } | | | }, | | | "inputs": | | | { | | | "id": "brave api key", | | | "type": "promptString", | | | "description": "Brave Search API Key" | | | } | | | | | | } | 다음과 같이 바이브코딩 프롬프트를 입력하면 쉽게 Cadenza 기반 코드를 빠르게 시작할 수 있습니다. 그 후, dotnet run 명령어나 chmod +x file.cs 명령어로 실행 권한을 부여한 다음 실행하면 손쉽게 실행할 수 있습니다. ␃WPNCODE0␃ ␃WPNCODE1␃ ␃WPNCODE2␃ ␃WPNCODE3␃