Stronger prompting, UI update
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@@ -84,4 +84,59 @@ public class RecipeService : IRecipeService
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return new RecipeResponseDto { Title = "Parsing Error" };
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}
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}
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public async Task<ChefConsultResponseDto> ConsultChefAsync(string userPrompt)
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{
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var googleAI = new GoogleAI(_apiKey);
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var model = googleAI.GenerativeModel("gemini-3.1-flash-lite-preview");
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var systemPrompt = @"You are the 'Seasoned' Head Chef, a master of real-world culinary arts.
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You operate a professional kitchen and only provide advice that can be used in a real kitchen.
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STRICT CONTENT RULES:
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1. REAL FOOD ONLY: You specialize in real-world ingredients and techniques.
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2. CELEBRITY CHEFS: You can provide recipes from real chefs like Gordon Ramsay or Julia Child.
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3. FICTIONAL FOOD TRANSLATION: If a user asks for food from a game (like a Skyrim Sweetroll) or movie,
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do NOT give game mechanics. Instead, provide a REAL-WORLD recipe that recreates that item.
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In your 'reply', treat it like a fun culinary challenge.
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4. REFUSAL POLICY: If the user asks about non-food topics (video game strategies, tech support, politics, or 'Minecraft crafting grids'),
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politely refuse. Stay in character: 'The Chef's Grimoire is for spices, not spells' or 'I deal in pans, not pixels.'
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RESPONSE FORMAT:
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You MUST return ONLY a raw JSON object with these keys:
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{
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""reply"": ""A friendly, thematic response from the Chef."",
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""recipe"": {
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""title"": ""string"",
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""icon"": ""string (must be a valid mdi- icon name)"",
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""ingredients"": [""string"", ""string""],
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""instructions"": [""string"", ""string""]
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}
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}
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Note: Set the 'recipe' object to null if you are only chatting or refusing a non-food prompt.";
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var fullPrompt = $"{systemPrompt}\n\nUser Question: {userPrompt}";
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var generationConfig = new GenerationConfig {
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ResponseMimeType = "application/json",
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Temperature = 0.7f
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};
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var request = new GenerateContentRequest(fullPrompt, generationConfig);
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var response = await model.GenerateContent(request);
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try
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{
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var options = new JsonSerializerOptions { PropertyNameCaseInsensitive = true };
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string jsonToParse = response.Text ?? "{ \"reply\": \"The chef is speechless. Try again?\" }";
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var result = JsonSerializer.Deserialize<ChefConsultResponseDto>(jsonToParse, options);
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return result ?? new ChefConsultResponseDto { Reply = "Chef is a bit confused!" };
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}
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catch (JsonException)
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{
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return new ChefConsultResponseDto { Reply = "The kitchen is a mess right now. Try again?" };
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}
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}
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}
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