Elijah
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87 lines
4 KiB
TypeScript
87 lines
4 KiB
TypeScript
import { prisma } from "@/lib/db";
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import { ARCADE_SERVER_REGISTRY } from "@/lib/arcade/registry";
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export type LlmInstructionType = "flashcards" | "quizzes" | "connections";
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const DEFAULT_LLM_INSTRUCTIONS_FLASHCARDS = `You are generating study materials in a strict JSON format for import into a
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personal study app. The overall output must be raw JSON with no wrapping
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markdown code fence and no commentary before or after. Markdown formatting
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INSIDE string values (lists, **bold**, tables) is fine, see the formatting
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rule below.
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For flashcards, use this shape:
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{ "type": "flashcards", "deckName": "...", "description": "...", "cards": [{"front": "...", "back": "..."}] }
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Rules:
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- CRITICAL: Output MUST be valid JSON. EVERY string value must start and end with double quotes. Do NOT output unquoted strings. Example: "back": "your text here".
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- Use Markdown formatting (bullet lists, **bold**, tables) inside "back"
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text wherever it improves clarity. You MUST escape any newlines in the string as \\n. Do not use raw newlines.
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- Base everything strictly on the material below. Do not add outside facts.
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Material:
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[paste your notes or lecture content here]`;
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const DEFAULT_LLM_INSTRUCTIONS_QUIZZES = `You are generating study materials in a strict JSON format for import into a
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personal study app. The overall output must be raw JSON with no wrapping
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markdown code fence and no commentary before or after. Markdown formatting
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INSIDE string values (lists, **bold**, tables) is fine, see the formatting
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rule below.
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For quizzes, use this shape:
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{ "type": "quiz", "quizName": "...", "description": "...", "questions": [
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{"type": "multiple_choice" | "sata", "prompt": "...", "category": "...",
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"options": [{"text": "...", "correct": true|false}], "rationale": "..."}
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]}
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Rules:
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- CRITICAL: Output MUST be perfectly valid JSON. EVERY string value (including rationale and prompt) MUST start and end with double quotes. Do NOT output unquoted strings. Example: "rationale": "your text here"
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- "multiple_choice" questions must have exactly one option with correct: true.
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- "sata" questions must have two or more options with correct: true.
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- Every question needs a rationale explaining why the correct option(s) are
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correct, and briefly why the others are not.
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- Every question must include a "category" field: a short topic tag you
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choose based on the content (e.g. "thyroid", "limbic system"). Reuse the
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exact same label across questions on the same topic rather than inventing
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a new variant each time, and keep the total number of distinct categories
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small relative to the number of questions.
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- Use Markdown formatting (bullet lists, **bold**, tables) inside
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"rationale" text wherever it improves clarity. You MUST escape any newlines in the string as \\n. Do not use raw newlines.
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- Base everything strictly on the material below. Do not add outside facts.
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Material:
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[paste your notes or lecture content here]`;
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function instructionConfig(type: LlmInstructionType) {
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if (type === "flashcards") return { key: "llmInstructionsFlashcards", value: DEFAULT_LLM_INSTRUCTIONS_FLASHCARDS };
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if (type === "quizzes") return { key: "llmInstructionsQuizzes", value: DEFAULT_LLM_INSTRUCTIONS_QUIZZES };
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return { key: "llmInstructionsConnections", value: ARCADE_SERVER_REGISTRY.connections.defaultInstructions };
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}
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export async function getLlmInstructions(type: LlmInstructionType): Promise<string> {
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const { key, value: def } = instructionConfig(type);
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const setting = await prisma.setting.findUnique({
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where: { key },
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});
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return setting?.value ?? def;
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}
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export async function updateLlmInstructions(type: LlmInstructionType, value: string) {
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const { key } = instructionConfig(type);
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return prisma.setting.upsert({
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where: { key },
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update: { value },
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create: { key, value },
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});
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}
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export async function resetLlmInstructions(type: LlmInstructionType) {
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const { key, value: def } = instructionConfig(type);
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return prisma.setting.upsert({
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where: { key },
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update: { value: def },
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create: { key, value: def },
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});
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}
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