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fix(ai): batch-analyze uses user-configured model (Gemini 2.5) instead of hardcoded Llama 3.3
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@@ -62,10 +62,6 @@ Format attendu:
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const userPrompt = `Analyse cette liste de produits :\n${JSON.stringify(products, null, 2)}`;
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const userPrompt = `Analyse cette liste de produits :\n${JSON.stringify(products, null, 2)}`;
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// Always use the free Llama 3.3 model for batch — not the user's settings model
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// (settings model may be a paid model not suitable here)
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const BATCH_MODEL = "meta-llama/llama-3.3-70b-instruct:free";
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const response = await fetch("https://openrouter.ai/api/v1/chat/completions", {
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const response = await fetch("https://openrouter.ai/api/v1/chat/completions", {
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method: "POST",
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method: "POST",
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headers: {
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headers: {
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@@ -73,7 +69,7 @@ Format attendu:
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"Content-Type": "application/json",
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"Content-Type": "application/json",
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},
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},
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body: JSON.stringify({
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body: JSON.stringify({
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model: BATCH_MODEL,
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model, // uses the model configured in Settings (same as individual analysis)
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messages: [
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messages: [
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{ role: "system", content: systemPrompt },
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{ role: "system", content: systemPrompt },
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{ role: "user", content: userPrompt }
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{ role: "user", content: userPrompt }
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