Files
clarity-helper/api/AnalysisFunction.cs
T
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

140 lines
5.5 KiB
C#

using System.Net;
using System.Net.Http.Headers;
using System.Text;
using System.Text.Json;
using System.Text.Json.Serialization;
using Microsoft.Azure.Functions.Worker;
using Microsoft.Azure.Functions.Worker.Http;
using Microsoft.Extensions.Logging;
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();
[JsonPropertyName("model")]
public string Model { get; set; } = "google/gemini-3.8-flash";
}
public class AnalysisFunction
{
private readonly ILogger _logger;
private readonly IHttpClientFactory _httpClientFactory;
public AnalysisFunction(ILoggerFactory loggerFactory, IHttpClientFactory httpClientFactory)
{
_logger = loggerFactory.CreateLogger<AnalysisFunction>();
_httpClientFactory = httpClientFactory;
}
[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 via OpenRouter.");
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 = System.Environment.GetEnvironmentVariable("OPENROUTER_API_KEY");
if (string.IsNullOrEmpty(apiKey))
{
_logger.LogError("OPENROUTER_API_KEY is missing from environment variables.");
return req.CreateResponse(HttpStatusCode.InternalServerError);
}
var systemAnalysisPrompt = $@"You are a master clinical psychologist specializing in Cognitive Behavioral Therapy (CBT).
You are supervising an interactive CBT simulation.
SCENARIO: {data.ScenarioTitle} - {data.ScenarioDescription}
FOCUS AREAS: {string.Join(", ", data.CBTFocus)}
Return ONLY a valid JSON object matching this schema:
{{
""analysis"": {{
""distortions"": [""string""],
""isAdaptive"": boolean,
""evidence"": ""string""
}},
""rating"": {{
""score"": number (1-5),
""reason"": ""string""
}},
""suggestions"": {{
""alternativeThought"": ""string"",
""behavioralStep"": ""string""
}}
}}";
var payload = new
{
model = string.IsNullOrEmpty(data.Model) ? "google/gemini-3.8-flash" : data.Model,
messages = new object[]
{
new { role = "system", content = systemAnalysisPrompt },
new { role = "user", content = data.TurnContext }
},
response_format = new { type = "json_object" },
temperature = 0.2
};
try
{
var client = _httpClientFactory.CreateClient();
client.DefaultRequestHeaders.Authorization = new AuthenticationHeaderValue("Bearer", apiKey);
client.DefaultRequestHeaders.Add("HTTP-Referer", "https://cognitive-clarity.app");
client.DefaultRequestHeaders.Add("X-Title", "Cognitive Clarity");
var content = new StringContent(JsonSerializer.Serialize(payload), Encoding.UTF8, "application/json");
var response = await client.PostAsync("https://openrouter.ai/api/v1/chat/completions", content);
if (!response.IsSuccessStatusCode)
{
var errText = await response.Content.ReadAsStringAsync();
_logger.LogError("OpenRouter returned error {Status}: {Error}", response.StatusCode, errText);
var errResponse = req.CreateResponse(response.StatusCode);
await errResponse.WriteStringAsync(errText);
return errResponse;
}
var resJson = await response.Content.ReadAsStringAsync();
using var doc = JsonDocument.Parse(resJson);
var rawResult = doc.RootElement
.GetProperty("choices")[0]
.GetProperty("message")
.GetProperty("content")
.GetString() ?? "{}";
var successResponse = req.CreateResponse(HttpStatusCode.OK);
successResponse.Headers.Add("Content-Type", "application/json");
await successResponse.WriteStringAsync(rawResult);
return successResponse;
}
catch (Exception ex)
{
_logger.LogError(ex, "Failed to generate analysis via OpenRouter API.");
var errorResponse = req.CreateResponse(HttpStatusCode.InternalServerError);
await errorResponse.WriteStringAsync("Error communicating with OpenRouter API.");
return errorResponse;
}
}
}
}