clean up prompts and improve quality

api/.gitignore

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+## Ignore Visual Studio temporary files, build results, and
+## files generated by popular Visual Studio add-ons.
+
+# Azure Functions localsettings file
+local.settings.json
+
+# User-specific files
+*.suo
+*.user
+*.userosscache
+*.sln.docstates
+
+# User-specific files (MonoDevelop/Xamarin Studio)
+*.userprefs
+
+# Build results
+[Dd]ebug/
+[Dd]ebugPublic/
+[Rr]elease/
+[Rr]eleases/
+x64/
+x86/
+bld/
+[Bb]in/
+[Oo]bj/
+[Ll]og/
+
+# Visual Studio 2015 cache/options directory
+.vs/
+# Uncomment if you have tasks that create the project's static files in wwwroot
+#wwwroot/
+
+# MSTest test Results
+[Tt]est[Rr]esult*/
+[Bb]uild[Ll]og.*
+
+# NUNIT
+*.VisualState.xml
+TestResult.xml
+
+# Build Results of an ATL Project
+[Dd]ebugPS/
+[Rr]eleasePS/
+dlldata.c
+
+# DNX
+project.lock.json
+project.fragment.lock.json
+artifacts/
+
+*_i.c
+*_p.c
+*_i.h
+*.ilk
+*.meta
+*.obj
+*.pch
+*.pdb
+*.pgc
+*.pgd
+*.rsp
+*.sbr
+*.tlb
+*.tli
+*.tlh
+*.tmp
+*.tmp_proj
+*.log
+*.vspscc
+*.vssscc
+.builds
+*.pidb
+*.svclog
+*.scc
+
+# Chutzpah Test files
+_Chutzpah*
+
+# Visual C++ cache files
+ipch/
+*.aps
+*.ncb
+*.opendb
+*.opensdf
+*.sdf
+*.cachefile
+*.VC.db
+*.VC.VC.opendb
+
+# Visual Studio profiler
+*.psess
+*.vsp
+*.vspx
+*.sap
+
+# TFS 2012 Local Workspace
+$tf/
+
+# Guidance Automation Toolkit
+*.gpState
+
+# ReSharper is a .NET coding add-in
+_ReSharper*/
+*.[Rr]e[Ss]harper
+*.DotSettings.user
+
+# JustCode is a .NET coding add-in
+.JustCode
+
+# TeamCity is a build add-in
+_TeamCity*
+
+# DotCover is a Code Coverage Tool
+*.dotCover
+
+# NCrunch
+_NCrunch_*
+.*crunch*.local.xml
+nCrunchTemp_*
+
+# MightyMoose
+*.mm.*
+AutoTest.Net/
+
+# Web workbench (sass)
+.sass-cache/
+
+# Installshield output folder
+[Ee]xpress/
+
+# DocProject is a documentation generator add-in
+DocProject/buildhelp/
+DocProject/Help/*.HxT
+DocProject/Help/*.HxC
+DocProject/Help/*.hhc
+DocProject/Help/*.hhk
+DocProject/Help/*.hhp
+DocProject/Help/Html2
+DocProject/Help/html
+
+# Click-Once directory
+publish/
+
+# Publish Web Output
+*.[Pp]ublish.xml
+*.azurePubxml
+# TODO: Comment the next line if you want to checkin your web deploy settings
+# but database connection strings (with potential passwords) will be unencrypted
+#*.pubxml
+*.publishproj
+
+# Microsoft Azure Web App publish settings. Comment the next line if you want to
+# checkin your Azure Web App publish settings, but sensitive information contained
+# in these scripts will be unencrypted
+PublishScripts/
+
+# NuGet Packages
+*.nupkg
+# The packages folder can be ignored because of Package Restore
+**/packages/*
+# except build/, which is used as an MSBuild target.
+!**/packages/build/
+# Uncomment if necessary however generally it will be regenerated when needed
+#!**/packages/repositories.config
+# NuGet v3's project.json files produces more ignoreable files
+*.nuget.props
+*.nuget.targets
+
+# Microsoft Azure Build Output
+csx/
+*.build.csdef
+
+# Microsoft Azure Emulator
+ecf/
+rcf/
+
+# Windows Store app package directories and files
+AppPackages/
+BundleArtifacts/
+Package.StoreAssociation.xml
+_pkginfo.txt
+
+# Visual Studio cache files
+# files ending in .cache can be ignored
+*.[Cc]ache
+# but keep track of directories ending in .cache
+!*.[Cc]ache/
+
+# Others
+ClientBin/
+~$*
+*~
+*.dbmdl
+*.dbproj.schemaview
+*.jfm
+*.pfx
+*.publishsettings
+node_modules/
+orleans.codegen.cs
+
+# Since there are multiple workflows, uncomment next line to ignore bower_components
+# (https://github.com/github/gitignore/pull/1529#issuecomment-104372622)
+#bower_components/
+
+# RIA/Silverlight projects
+Generated_Code/
+
+# Backup & report files from converting an old project file
+# to a newer Visual Studio version. Backup files are not needed,
+# because we have git ;-)
+_UpgradeReport_Files/
+Backup*/
+UpgradeLog*.XML
+UpgradeLog*.htm
+
+# SQL Server files
+*.mdf
+*.ldf
+
+# Business Intelligence projects
+*.rdl.data
+*.bim.layout
+*.bim_*.settings
+
+# Microsoft Fakes
+FakesAssemblies/
+
+# GhostDoc plugin setting file
+*.GhostDoc.xml
+
+# Node.js Tools for Visual Studio
+.ntvs_analysis.dat
+
+# Visual Studio 6 build log
+*.plg
+
+# Visual Studio 6 workspace options file
+*.opt
+
+# Visual Studio LightSwitch build output
+**/*.HTMLClient/GeneratedArtifacts
+**/*.DesktopClient/GeneratedArtifacts
+**/*.DesktopClient/ModelManifest.xml
+**/*.Server/GeneratedArtifacts
+**/*.Server/ModelManifest.xml
+_Pvt_Extensions
+
+# Paket dependency manager
+.paket/paket.exe
+paket-files/
+
+# FAKE - F# Make
+.fake/
+
+# JetBrains Rider
+.idea/
+*.sln.iml
+
+# CodeRush
+.cr/
+
+# Python Tools for Visual Studio (PTVS)
+__pycache__/
+*.pyc

api/.vscode/extensions.json

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+{
+    "recommendations": [
+        "ms-azuretools.vscode-azurefunctions"
+    ]
+}

api/AnalysisFunction.cs

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+using System.Net;
+using System.Text.Json;
+using Microsoft.Azure.Functions.Worker;
+using Microsoft.Azure.Functions.Worker.Http;
+using Microsoft.Extensions.Logging;
+using Google.GenAI;
+using System.Text.Json.Serialization;
+
+namespace CognitiveClarity.api
+{
+    public class AnalysisRequest
+    {
+        [JsonPropertyName("turnContext")]
+        public string TurnContext { get; set; } = string.Empty;
+
+        [JsonPropertyName("scenarioTitle")]
+        public string ScenarioTitle { get; set; } = string.Empty;
+
+        [JsonPropertyName("scenarioDescription")]
+        public string ScenarioDescription { get; set; } = string.Empty;
+
+        [JsonPropertyName("cbtFocus")]
+        public List<string> CBTFocus { get; set; } = new();
+    }
+
+    public class AnalysisFunction
+    {
+        private readonly ILogger _logger;
+
+        public AnalysisFunction(ILoggerFactory loggerFactory)
+        {
+            _logger = loggerFactory.CreateLogger<AnalysisFunction>();
+        }
+
+        [Function("ClinicalAnalysis")]
+        public async Task<HttpResponseData> Run(
+            [HttpTrigger(AuthorizationLevel.Anonymous, "post", Route = "analysis")] HttpRequestData req)
+        {
+            _logger.LogInformation("C# HTTP trigger function processed a clinical analysis request.");
+
+            var requestBody = await new StreamReader(req.Body).ReadToEndAsync();
+            var data = JsonSerializer.Deserialize<AnalysisRequest>(requestBody);
+
+            if (data == null || string.IsNullOrWhiteSpace(data.TurnContext))
+            {
+                var badResponse = req.CreateResponse(HttpStatusCode.BadRequest);
+                await badResponse.WriteStringAsync("Please provide turnContext in the request body");
+                return badResponse;
+            }
+
+            var apiKey = Environment.GetEnvironmentVariable("GEMINI_API_KEY");
+            if (string.IsNullOrEmpty(apiKey))
+            {
+                _logger.LogError("GEMINI_API_KEY is missing from environment variables.");
+                return req.CreateResponse(HttpStatusCode.InternalServerError);
+            }
+
+            // Initialize the Gemini Client
+            var ai = new GeminiClient(apiKey: apiKey);
+
+            var systemAnalysisPrompt = @"
+You are a master clinical psychologist specializing in Cognitive Behavioral Therapy (CBT).
+You are observing a roleplay session between a user and an AI character.
+Analyze the user's latest response for:
+1. Cognitive distortions present (if any).
+2. CBT techniques successfully applied by the user (if any).
+3. A brief, encouraging clinical insight or redirection (max 2 sentences).
+Be precise, clinical, and constructive.
+";
+
+            var analysisSystemInstruction = $@"{systemAnalysisPrompt}
+SCENARIO CONTEXT:
+Title: {data.ScenarioTitle}
+Description: {data.ScenarioDescription}
+CBT Focus Areas: {string.Join(", ", data.CBTFocus)}";
+
+            var schema = new Schema
+            {
+                Type = TypeEnum.Object,
+                Properties = new Dictionary<string, Schema>
+                {
+                    { "distortionsIdentified", new Schema { Type = TypeEnum.Array, Items = new Schema { Type = TypeEnum.String } } },
+                    { "techniquesUsed", new Schema { Type = TypeEnum.Array, Items = new Schema { Type = TypeEnum.String } } },
+                    { "clinicalInsight", new Schema { Type = TypeEnum.String } },
+                    { "feedbackType", new Schema { Type = TypeEnum.String, Enum = new List<string> { "Constructive", "Positive", "Neutral" } } }
+                },
+                Required = new List<string> { "distortionsIdentified", "techniquesUsed", "clinicalInsight", "feedbackType" }
+            };
+
+            try 
+            {
+                var response = await ai.Models.GenerateContentAsync(
+                    model: "gemini-3.0-flash", 
+                    contents: data.TurnContext,
+                    new GenerateContentConfig 
+                    {
+                        SystemInstruction = new Content { Parts = new List<Part> { new Part { Text = analysisSystemInstruction } } },
+                        ResponseMimeType = "application/json",
+                        ResponseSchema = schema
+                    });
+
+                var successResponse = req.CreateResponse(HttpStatusCode.OK);
+                successResponse.Headers.Add("Content-Type", "application/json");
+                await successResponse.WriteStringAsync(response.Text!);
+                return successResponse;
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Failed to generate analysis via Gemini API.");
+                var errorResponse = req.CreateResponse(HttpStatusCode.InternalServerError);
+                await errorResponse.WriteStringAsync("Error communicating with Gemini API.");
+                return errorResponse;
+            }
+        }
+    }
+}

api/ChatFunction.cs

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+using System.Net;
+using System.Text.Json;
+using Microsoft.Azure.Functions.Worker;
+using Microsoft.Azure.Functions.Worker.Http;
+using Microsoft.Extensions.Logging;
+using Google.GenAI;
+using System.Text.Json.Serialization;
+
+namespace CognitiveClarity.api
+{
+    public class ChatMessage
+    {
+        [JsonPropertyName("role")]
+        public string Role { get; set; } = string.Empty; // "user" or "model"
+
+        [JsonPropertyName("text")]
+        public string Text { get; set; } = string.Empty;
+    }
+
+    public class ChatRequest
+    {
+        [JsonPropertyName("history")]
+        public List<ChatMessage> History { get; set; } = new();
+
+        [JsonPropertyName("systemInstruction")]
+        public string SystemInstruction { get; set; } = string.Empty;
+    }
+
+    public class ChatFunction
+    {
+        private readonly ILogger _logger;
+
+        public ChatFunction(ILoggerFactory loggerFactory)
+        {
+            _logger = loggerFactory.CreateLogger<ChatFunction>();
+        }
+
+        [Function("ChatProgression")]
+        public async Task<HttpResponseData> Run(
+            [HttpTrigger(AuthorizationLevel.Anonymous, "post", Route = "chat")] HttpRequestData req)
+        {
+            _logger.LogInformation("C# HTTP trigger function processed a chat progression request.");
+
+            var requestBody = await new StreamReader(req.Body).ReadToEndAsync();
+            var data = JsonSerializer.Deserialize<ChatRequest>(requestBody);
+
+            if (data == null || data.History.Count == 0)
+            {
+                var badResponse = req.CreateResponse(HttpStatusCode.BadRequest);
+                await badResponse.WriteStringAsync("Please provide chat history in the request body");
+                return badResponse;
+            }
+
+            var apiKey = Environment.GetEnvironmentVariable("GEMINI_API_KEY");
+            if (string.IsNullOrEmpty(apiKey))
+            {
+                _logger.LogError("GEMINI_API_KEY is missing from environment variables.");
+                return req.CreateResponse(HttpStatusCode.InternalServerError);
+            }
+
+            // Initialize the Gemini Client
+            var ai = new GeminiClient(apiKey: apiKey);
+
+            // Construct contents from history
+            var contents = new List<Content>();
+            foreach (var msg in data.History)
+            {
+                contents.Add(new Content
+                {
+                    Role = msg.Role,
+                    Parts = new List<Part> { new Part { Text = msg.Text } }
+                });
+            }
+
+            var roleplaySystemInstruction = $@"{data.SystemInstruction}
+      
+      [CONTEXT]
+      You are participating in a clinical CBT roleplay simulation. 
+      The instructions above define your character, the scenario, and your internal CBT logic.
+      
+      [TASK]
+      Respond to the user naturally in character to advance the roleplay scenario.
+      
+      [CONSTRAINTS]
+      - CRITICAL: Stay strictly in character as the persona defined in the scenario.
+      - CRITICAL: NEVER provide clinical feedback, advice, or meta-commentary about the user's progress.
+      - CRITICAL: NEVER use phrases like ""Great job holding your boundary"" or ""Feedback:"".
+      - CRITICAL: Do not congratulate the user on using CBT techniques; simply react as the character would.
+      - If the user successfully concludes the scenario, end the dialogue naturally.
+      
+      [OUTPUT REQUIREMENTS]
+      Return the character's direct dialogue response. Keep it conversational and proportional to the user's input.
+            ";
+
+            try 
+            {
+                var response = await ai.Models.GenerateContentAsync(
+                    model: "gemini-3.0-flash", 
+                    contents: contents,
+                    new GenerateContentConfig 
+                    {
+                        SystemInstruction = new Content { Parts = new List<Part> { new Part { Text = roleplaySystemInstruction } } },
+                        // Streaming isn't natively supported in standard HTTP Functions easily without Server-Sent Events (SSE).
+                        // We will return a standard block response for now, which simplifies the architecture.
+                    });
+
+                var successResponse = req.CreateResponse(HttpStatusCode.OK);
+                successResponse.Headers.Add("Content-Type", "application/json");
+                
+                // Return just the text in a JSON wrapper
+                var resultObj = new { text = response.Text };
+                await successResponse.WriteStringAsync(JsonSerializer.Serialize(resultObj));
+                return successResponse;
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Failed to generate chat progression via Gemini API.");
+                var errorResponse = req.CreateResponse(HttpStatusCode.InternalServerError);
+                await errorResponse.WriteStringAsync("Error communicating with Gemini API.");
+                return errorResponse;
+            }
+        }
+    }
+}

api/Program.cs

@@ -0,0 +1,14 @@
+using Microsoft.Azure.Functions.Worker;
+using Microsoft.Azure.Functions.Worker.Builder;
+using Microsoft.Extensions.DependencyInjection;
+using Microsoft.Extensions.Hosting;
+
+var builder = FunctionsApplication.CreateBuilder(args);
+
+builder.ConfigureFunctionsWebApplication();
+
+builder.Services
+    .AddApplicationInsightsTelemetryWorkerService()
+    .ConfigureFunctionsApplicationInsights();
+
+builder.Build().Run();

api/Properties/launchSettings.json

@@ -0,0 +1,9 @@
+{
+  "profiles": {
+    "api": {
+      "commandName": "Project",
+      "commandLineArgs": "--port 7145",
+      "launchBrowser": false
+    }
+  }
+}

api/ScenarioFunction.cs

@@ -0,0 +1,130 @@
+using System.Net;
+using System.Text.Json;
+using Microsoft.Azure.Functions.Worker;
+using Microsoft.Azure.Functions.Worker.Http;
+using Microsoft.Extensions.Logging;
+using Google.GenAI;
+using System.Text.Json.Serialization;
+
+namespace CognitiveClarity.api
+{
+    public class ScenarioRequest
+    {
+        [JsonPropertyName("prompt")]
+        public string Prompt { get; set; } = string.Empty;
+
+        [JsonPropertyName("selectedConcepts")]
+        public List<string> SelectedConcepts { get; set; } = new();
+
+        [JsonPropertyName("difficulty")]
+        public string Difficulty { get; set; } = "Intermediate";
+    }
+
+    public class ScenarioFunction
+    {
+        private readonly ILogger _logger;
+
+        public ScenarioFunction(ILoggerFactory loggerFactory)
+        {
+            _logger = loggerFactory.CreateLogger<ScenarioFunction>();
+        }
+
+        [Function("GenerateScenario")]
+        public async Task<HttpResponseData> Run(
+            [HttpTrigger(AuthorizationLevel.Anonymous, "post", Route = "scenario/generate")] HttpRequestData req)
+        {
+            _logger.LogInformation("C# HTTP trigger function processed a scenario generation request.");
+
+            var requestBody = await new StreamReader(req.Body).ReadToEndAsync();
+            var data = JsonSerializer.Deserialize<ScenarioRequest>(requestBody);
+
+            if (data == null || (string.IsNullOrWhiteSpace(data.Prompt) && data.SelectedConcepts.Count == 0))
+            {
+                var badResponse = req.CreateResponse(HttpStatusCode.BadRequest);
+                await badResponse.WriteStringAsync("Please pass a prompt or concepts in the request body");
+                return badResponse;
+            }
+
+            var apiKey = Environment.GetEnvironmentVariable("GEMINI_API_KEY");
+            if (string.IsNullOrEmpty(apiKey))
+            {
+                _logger.LogError("GEMINI_API_KEY is missing from environment variables.");
+                return req.CreateResponse(HttpStatusCode.InternalServerError);
+            }
+
+            // Initialize the Gemini Client
+            var ai = new GeminiClient(apiKey: apiKey);
+
+            var selectedContext = data.SelectedConcepts.Count > 0 
+                ? $"Focus specifically on these CBT concepts: {string.Join(", ", data.SelectedConcepts)}."
+                : "";
+
+            var systemInstruction = $@"
+            [CONTEXT]
+            You are a Clinical CBT Scenario Architect. 
+            The user requires a structured clinical simulation designed to address specific cognitive distortions and behavioral challenges.
+            Clinical Focus: {selectedContext}
+            
+            [TASK]
+            Transform the user's prompt into a cohesive, structured clinical scenario that sets up a targeted roleplay environment.
+            
+            [CONSTRAINTS]
+            - CATEGORIZATION: You MUST categorize the scenario appropriately (Social Anxiety, Workplace, Relationships, or Self-Talk).
+            - DIFFICULTY CALIBRATION: The requested difficulty is '{data.Difficulty}'.
+              - 'Beginner': Low stakes, high support, clear-cut distortions, AI character is cooperative.
+              - 'Intermediate': Ambiguous stakes, moderate social friction, subtle distortions, AI character has specific needs.
+              - 'Advanced': High emotional triggers, persistent clinical resistance, complex cognitive patterns.
+            - INTERNAL LOGIC: Provide a detailed ""INTERNAL CBT LOGIC"" section instructing the AI character how to react to the user's progress or cognitive lapses during the future roleplay.
+            - CHARACTER VOICE: Define a realistic, emotionally consistent voice profile.
+            
+            [OUTPUT REQUIREMENTS]
+            Return ONLY a valid JSON object conforming exactly to the requested schema. Ensure all arrays and nested objects are populated correctly.
+            ";
+
+            var schema = new Schema
+            {
+                Type = TypeEnum.Object,
+                Properties = new Dictionary<string, Schema>
+                {
+                    { "id", new Schema { Type = TypeEnum.String } },
+                    { "title", new Schema { Type = TypeEnum.String } },
+                    { "characterName", new Schema { Type = TypeEnum.String } },
+                    { "description", new Schema { Type = TypeEnum.String } },
+                    { "category", new Schema { Type = TypeEnum.String, Enum = new List<string> { "Social Anxiety", "Workplace", "Relationships", "Self-Talk" } } },
+                    { "difficulty", new Schema { Type = TypeEnum.String, Enum = new List<string> { "Beginner", "Intermediate", "Advanced" } } },
+                    { "systemInstruction", new Schema { Type = TypeEnum.String } },
+                    { "initialMessage", new Schema { Type = TypeEnum.String } },
+                    { "cbtFocus", new Schema { Type = TypeEnum.Array, Items = new Schema { Type = TypeEnum.String } } }
+                },
+                Required = new List<string> { "id", "title", "characterName", "description", "category", "difficulty", "systemInstruction", "initialMessage", "cbtFocus" }
+            };
+
+            var promptText = $"Generate a clinical scenario for: {(string.IsNullOrWhiteSpace(data.Prompt) ? "A scenario exploring the chosen CBT concepts." : data.Prompt)}";
+
+            try 
+            {
+                var response = await ai.Models.GenerateContentAsync(
+                    model: "gemini-3.0-flash", 
+                    contents: promptText,
+                    new GenerateContentConfig 
+                    {
+                        SystemInstruction = new Content { Parts = new List<Part> { new Part { Text = systemInstruction } } },
+                        ResponseMimeType = "application/json",
+                        ResponseSchema = schema
+                    });
+
+                var successResponse = req.CreateResponse(HttpStatusCode.OK);
+                successResponse.Headers.Add("Content-Type", "application/json");
+                await successResponse.WriteStringAsync(response.Text!);
+                return successResponse;
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Failed to generate scenario via Gemini API.");
+                var errorResponse = req.CreateResponse(HttpStatusCode.InternalServerError);
+                await errorResponse.WriteStringAsync("Error communicating with Gemini API.");
+                return errorResponse;
+            }
+        }
+    }
+}

api/api.csproj

@@ -0,0 +1,21 @@
+<Project Sdk="Microsoft.NET.Sdk">
+
+  <PropertyGroup>
+    <TargetFramework>net8.0</TargetFramework>
+    <AzureFunctionsVersion>v4</AzureFunctionsVersion>
+    <OutputType>Exe</OutputType>
+    <ImplicitUsings>enable</ImplicitUsings>
+    <Nullable>enable</Nullable>
+  </PropertyGroup>
+
+  <ItemGroup>
+    <FrameworkReference Include="Microsoft.AspNetCore.App" />
+    <PackageReference Include="Google.GenAI" Version="1.3.0" />
+    <PackageReference Include="Microsoft.ApplicationInsights.WorkerService" Version="2.23.0" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker" Version="2.50.0" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.ApplicationInsights" Version="2.50.0" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.Http.AspNetCore" Version="2.1.0" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Sdk" Version="2.0.6" />
+  </ItemGroup>
+
+</Project>

api/host.json

@@ -0,0 +1,12 @@
+{
+    "version": "2.0",
+    "logging": {
+        "applicationInsights": {
+            "samplingSettings": {
+                "isEnabled": true,
+                "excludedTypes": "Request"
+            },
+            "enableLiveMetricsFilters": true
+        }
+    }
+}