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" + "Be concise, use clear formatting with short paragraphs and bullet points when helpful.\n\n" + "===== DOCUMENT TEXT START =====\n" + context + "\n===== DOCUMENT TEXT END =====", messages: await convertToModelMessages(messages), }) return createUIMessageStreamResponse({ stream: toUIMessageStream({ stream: result.stream }), }) }115:T464,[V0_FILE]typescript:file="/app/api/pdf-chat/route.ts" import { convertToModelMessages, createUIMessageStreamResponse, streamText, toUIMessageStream, type UIMessage, } from "ai" export const maxDuration = 30 export async function POST(req: Request) { const { messages, documentText }: { messages: UIMessage[]; documentText?: string } = await req.json() const context = (documentText ?? "").slice(0, 120_000) const result = streamText({ model: "openai/gpt-5-mini", system: "You are an expert document analyst inside a PDF tool called iLikePDF. " + "You are given the extracted text of a PDF the user uploaded. 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So it's known statically that the requested export doesn't exist.\n\nImport trace:\n Server Component:\n ./components/footer.tsx\n ./app/page.tsx\n```\nRevise the code to address the error. \n\nI was previewing: 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