wip

data-pipeline/config/batch.ts

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+export const BATCH_CONFIG = { size: 4, maxRetries: 3 } as const;
+
+//1, 2, 5, 10, 20

data-pipeline/config/llm.ts

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+export const LLM_CONFIG = {
+  provider: "local" as "local" | "openrouter" | "deepseek" | "gemini",
+  url: "http://127.0.0.1:8080/v1/chat/completions",
+  model: undefined as string | undefined,
+} as const;

data-pipeline/config/prompt.ts

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+export const ENRICHMENT_SYSTEM_PROMPT = `You are a multilingual dictionary engine. Output ONLY a JSON object. No markdown, no explanations.
+
+For each English noun provided, generate 1-2 distinct senses.
+
+CEFR difficulty mapping:
+- A1/A2 → easy
+- B1/B2 → medium
+- C1/C2 → hard
+
+Each sense must have:
+- sense: student-friendly definition, max 15 words
+- example: natural sentence using the word
+- difficulty_level: easy, medium, or hard
+- translations: object with keys de, it, es, fr; each value is an array of {word, gender} where gender MUST be masculine, feminine, or neuter. Use null ONLY if the language has no grammatical gender for that word.
+
+Output format: JSON object where keys are the input words, values are arrays of sense objects.
+
+Example for ["house"]:
+{
+  "house": [
+    {
+      "sense": "A building for human habitation.",
+      "example": "They bought a house in the city.",
+      "difficulty_level": "easy",
+      "translations": {
+        "de": [{"word": "Haus", "gender": "neuter"}],
+        "it": [{"word": "casa", "gender": "feminine"}],
+        "es": [{"word": "casa", "gender": "feminine"}],
+        "fr": [{"word": "maison", "gender": "feminine"}]
+      }
+    }
+  ]
+}
+`;