${CONFIG.appName}

\n Define a legal task, provide a document (URL, text, or PDF), select an AI model,\n and our AI agent will analyze it, returning a structured analysis.\n

\n\n

\n \n

\n\n

Analysis Status & Results

${CONFIG.statusMessages.awaitingInput}

\n \n \n

\n\n

\n Powered by Val Town | View/Edit Source Val\n
Current Date: ${new Date().toLocaleDateString()}\n

\n\n\n\n`;\n}\n\n// --- Main Request Handler (Server Code) ---\nexport default async function(req: Request) {\n const { OpenAI } = await import(\"https://esm.town/v/std/openai\");\n // Zod is imported globally via import statement at the top of the script\n const { fetch } = await import(\"https://esm.town/v/std/fetch\"); // Using std/fetch\n const { PDFExtract, PDFExtractOptions } = await import(\"npm:pdf.js-extract\");\n\n const CORS_HEADERS = {\n \"Access-Control-Allow-Origin\": \"*\",\n \"Access-Control-Allow-Methods\": \"POST, GET, OPTIONS\",\n \"Access-Control-Allow-Headers\": \"Content-Type, Accept\",\n };\n\n if (req.method === \"OPTIONS\") {\n return new Response(null, { status: 204, headers: CORS_HEADERS });\n }\n\n const url = new URL(req.url);\n const format = url.searchParams.get(\"format\");\n const sourceUrl = import.meta.url.replace(\"esm.town\", \"val.town\");\n const log: LogEntry[] = []; // Initialize log array for each request\n\n // --- Helper: Extract Text using pdf.js-extract (Server-side) ---\n async function extractPdfTextNative(\n data: ArrayBuffer,\n fileName: string,\n ): Promise<{ text: string | null; pages: number }> {\n const agent = \"PDF Extraction Agent\";\n log.push({ agent, type: \"step\", message: CONFIG.statusMessages.processingPDF(fileName) });\n try {\n const pdfExtract = new PDFExtract();\n const options: PDFExtractOptions = {}; // Customize if needed (e.g., for password)\n const pdfData = await pdfExtract.extractBuffer(data, options);\n const text = pdfData.pages.map(page => page.content.map(item => item.str).join(\" \")).join(\"\\n\\n\");\n const numPages = pdfData.pages.length;\n\n if (!text || text.trim().length === 0) {\n log.push({\n agent,\n type: \"warning\",\n message: `PDF extraction for '${fileName}' resulted in empty text content.`,\n });\n return { text: null, pages: numPages };\n }\n log.push({\n agent,\n type: \"info\",\n message: `Successfully extracted ~${text.length} characters from \\`${fileName}\\` (\\`${numPages}\\` pages).`,\n });\n return { text, pages: numPages };\n } catch (error) {\n const errorMessage = `Failed to extract text from PDF '${fileName}': ${error.message}`;\n log.push({ agent, type: \"error\", message: errorMessage });\n console.error(agent, errorMessage, error);\n return { text: null, pages: 0 };\n }\n }\n\n // --- Helper Function: Call OpenAI API ---\n async function callOpenAI(\n openai: OpenAI,\n systemPrompt: string,\n userMessage: string,\n model: string,\n ): Promise

History for main.tsx