export async function generateDrafts(sanitizedText, opts = {}) {
    const { tone = 'professional', variants = 2, maxChars = 300, anonymize = false } = opts;
    // Dev-mode: return canned drafts if DEV_MODE set or no API key provided
    const dev = !!process.env.DEV_MODE || !process.env.OPENAI_API_KEY;
    if (dev) {
        const variantsArr = [];
        for (let i = 1; i <= variants; i++) {
            variantsArr.push({ id: `v${i}`, text: `${sanitizedText} (dev draft variant ${i}, tone=${tone})`, tokens: 50 + i });
        }
        return { generationId: `g-dev-${Date.now()}`, variants: variantsArr, usage: { totalTokens: variants * 60, model: 'dev-mock' } };
    }
    // Production path: call OpenAI API (minimal implementation)
    const OPENAI_API_KEY = process.env.OPENAI_API_KEY;
    const payload = {
        model: 'gpt-4o-mini',
        messages: [
            { role: 'system', content: `You are a LinkedIn editor. Tone: ${tone}` },
            { role: 'user', content: sanitizedText }
        ],
        max_tokens: Math.min(800, Math.floor(maxChars / 2)),
        temperature: 0.6
    };
    const resp = await fetch('https://api.openai.com/v1/chat/completions', {
        method: 'POST',
        headers: { 'Content-Type': 'application/json', 'Authorization': `Bearer ${OPENAI_API_KEY}` },
        body: JSON.stringify(payload)
    });
    const resultAny = await resp.json();
    const result = resultAny;
    const assistant = result?.choices?.[0]?.message?.content || '';
    // For simplicity, return a single variant parsed from assistant
    return { generationId: `g-${Date.now()}`, variants: [{ id: 'v1', text: assistant, tokens: result.usage?.total_tokens || 0 }], usage: result.usage || null };
}
export default { generateDrafts };