clean up prompts and improve quality

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jpremill committed 2026-03-06 08:46:03 -05:00
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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;
}
}
}
}