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jpremill 1feea40684 feat(ui): redesign voice cockpit with clinical companion drawer, Svelte 5 migration, and Gemini 3.8 voice

- Re-architect VoiceSession into full-bleed studio cockpit with overlay slide-over companion drawer
- Eliminate width squishing defect on LiveInsightPanel and add native dark/light theme support
- Integrate authentic Google Gemini 3.8 Flash TTS with Fenrir persona and fallback audio pipeline
- Implement comprehensive Playwright E2E visual regression suite across Desktop, iPad, and iPhone (21 tests, 45 snapshots)
- Migrate core application to Svelte 5 runes (, , ) with reactive stores
- Maintain .NET 8 Azure Functions serverless endpoints and clean build hygiene

2026-09-29 23:35:05 -04:00

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name, description

name	description
azure-functions-genai	Guides the design, implementation, and debugging of Azure Functions v4 (.NET 8/10 Isolated Worker) using the official Google.GenAI C# SDK for serverless AI endpoints.

Azure Functions & Google.GenAI C# SDK Skill

Use this skill when developing, updating, or testing the C# serverless API endpoints located in api/.

1. Solution Architecture

The backend consists of an Azure Functions v4 Isolated Worker targeting .NET 8.0:

Project file: api/api.csproj
Runtime: Microsoft.Azure.Functions.Worker 2.50+ & Google.GenAI 1.20+
Host configuration: api/host.json
Application Insights integration: Microsoft.ApplicationInsights.WorkerService

2. Google.GenAI C# SDK Integration Patterns

2.1 Namespaces & Types

using Google.GenAI;
using Google.GenAI.Types;
using Type = Google.GenAI.Types.Type; // Disambiguate with System.Type

2.2 Client Initialization

var apiKey = System.Environment.GetEnvironmentVariable("GEMINI_API_KEY");
var client = new Client(apiKey: apiKey);

2.3 Structured Output Generation (JSON Schema)

var schema = new Schema
{
    Type = Type.Object,
    Properties = new Dictionary<string, Schema>
    {
        { "distortionsIdentified", new Schema { Type = Type.Array, Items = new Schema { Type = Type.String } } },
        { "techniquesUsed", new Schema { Type = Type.Array, Items = new Schema { Type = Type.String } } },
        { "clinicalInsight", new Schema { Type = Type.String } },
        { "feedbackType", new Schema { Type = Type.String, Enum = new List<string> { "Constructive", "Positive", "Neutral" } } }
    },
    Required = new List<string> { "distortionsIdentified", "techniquesUsed", "clinicalInsight", "feedbackType" }
};

var response = await client.Models.GenerateContentAsync(
    model: "gemini-2.5-flash", 
    contents: promptContent,
    config: new GenerateContentConfig 
    {
        SystemInstruction = new Content { Parts = new List<Part> { new Part { Text = systemInstruction } } },
        ResponseMimeType = "application/json",
        ResponseSchema = schema
    });

3. Endpoints Matrix

Route	HTTP Method	Function Name	Purpose
`/api/chat`	`POST`	`ChatProgression`	Headless roleplay progression with strict anti-meta guardrails
`/api/analysis`	`POST`	`ClinicalAnalysis`	Real-time clinical supervisor turn evaluation
`/api/scenario/generate`	`POST`	`GenerateScenario`	Dynamic CBT roleplay scenario generation

4. Local Build & Test Verification

# Build the C# API project
dotnet build api/api.csproj

# Run local functions host (requires Azure Functions Core Tools)
func start --csharp --prefix api

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