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dividimos se for muito longa.\n const chunks = splitText(text, 4000);\n for (const chunk of chunks) {\n await fetch(`https://api.telegram.org/bot${TOKEN}/sendMessage`, {\n method: \"POST\",\n headers: { \"Content-Type\": \"application/json\" },\n body: JSON.stringify({\n chat_id: chatId,\n text: chunk,\n parse_mode: \"Markdown\", // <- ESTA LINHA RESOLVE O PROBLEMA\n }),\n });\n }\n}\n\nexport async function sendChatAction(chatId: number, action = \"typing\") {\n await fetch(`https://api.telegram.org/bot${TOKEN}/sendChatAction`, {\n method: \"POST\",\n headers: { \"Content-Type\": \"application/json\" },\n body: JSON.stringify({ chat_id: chatId, action }),\n });\n}\n\n// Resolve a Telegram file_id to a temporary download URL.\nexport async function getFileUrl(fileId: string): Promise {\n const res = await fetch(\n `https://api.telegram.org/bot${TOKEN}/getFile?file_id=${fileId}`,\n );\n const data = await res.json();\n if (!data.ok) {\n console.error(\"getFile error:\", JSON.stringify(data));\n return null;\n }\n return `https://api.telegram.org/file/bot${TOKEN}/${data.result.file_path}`;\n}\n\n// Download a Telegram file as base64 (needed for Gemini inline_data).\nexport async function downloadAsBase64(\n fileId: string,\n): Promise<{ base64: string; 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Carrega o histórico existente do SQLite\n let history = await getChatHistory(chatId);\n\n if (text === \"/start\") {\n await sendMessage(\n chatId,\n \"👋 Olá! Podes enviar texto, fotos ou ficheiros .txt. Agora tenho memória ativa!\\nUsa /clear para reiniciar a conversa.\",\n );\n return;\n }\n\n if (text === \"/clear\") {\n await clearChatHistory(chatId);\n await sendMessage(chatId, \"🧹 Memória limpa! Conversa reiniciada.\");\n return;\n }\n\n // (Comando /model omitido aqui para brevidade, mas podes manter a lógica que tinhas)\n\n await sendChatAction(chatId, \"typing\");\n\n let currentParts: any[] = [];\n\n // 2. Processa o Input atual do utilizador\n if (photo && photo.length > 0) {\n const largest = photo[photo.length - 1];\n const file = await downloadAsBase64(largest.file_id);\n if (file) {\n currentParts.push({\n inline_data: { mime_type: \"image/jpeg\", data: file.base64 },\n });\n currentParts.push({\n text: caption?.trim() || \"Analisa e resolve o exercício desta imagem.\",\n });\n }\n } else if (\n document &&\n (document.mime_type?.startsWith(\"text/\") ||\n document.file_name?.endsWith(\".txt\"))\n ) {\n let content = await downloadAsText(document.file_id);\n if (content) {\n if (content.length > MAX_TXT_CHARS) {\n content = content.slice(0, MAX_TXT_CHARS);\n }\n currentParts.push({\n text:\n `[Conteúdo do Ficheiro ${document.file_name}]:\\n${content}\\n\\nInstrução: ${\n caption?.trim() || \"Analisa o ficheiro.\"\n }`,\n });\n }\n } else if (text) {\n currentParts.push({ text: text });\n }\n\n if (currentParts.length === 0) {\n await sendMessage(\n chatId,\n \"Formato não suportado. 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Resolve e analisa tudo passo a passo. \" +\n \"ATENÇÃO: Nunca uses formatação LaTeX (como $ ou $$) para equações. Escreve as fórmulas em texto simples legível \" +\n \"usando caracteres normais, frações lineares (ex: C/I = (1/i0) * (3N)^(n/2)) e formatação Markdown para listas.\",\n }],\n },\n // Em vez de \"config\", a API lê \"generationConfig\" na raiz:\n generationConfig: {\n temperature: 0.2,\n },\n };\n\n const res = await fetch(url, {\n method: \"POST\",\n headers: { \"Content-Type\": \"application/json\" },\n body: JSON.stringify(bodyPayload),\n });\n\n const data = await res.json();\n if (!res.ok) {\n console.error(\"Gemini error:\", JSON.stringify(data));\n return \"Desculpa, tive um problema a processar isso. 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