⚖️ Legal AI Document Analysis

\n Define a legal task or query, then provide a document (URL, text, or PDF).\n The AI agent will analyze the document based on your query and return a structured analysis.\n

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Analysis Status & Results

Awaiting input...

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\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 // --- Dynamic Imports (Inside Handler) ---\n const { OpenAI } = await import(\"https://esm.town/v/std/openai\");\n const { z } = await import(\"npm:zod\"); // For potential future robust input validation on server\n const { fetch } = await import(\"https://esm.town/v/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\n // --- Helper: Extract Text using pdf.js-extract (Server-side) ---\n async function extractPdfTextNative(data: ArrayBuffer, fileName: string, log: LogEntry[]): Promise {\n const agent = \"PDF Extraction Agent (Val Server)\";\n log.push({ agent, type: \"step\", message: `Processing PDF: ${fileName} using npm:pdf.js-extract` });\n try {\n const pdfExtract = new PDFExtract();\n const options: PDFExtractOptions = {};\n const pdfData = await pdfExtract.extractBuffer(data, options);\n const text = pdfData.pages.map(page => page.content.map(item => item.str).join(\" \")).join(\"\\n\\n\");\n if (!text || text.trim().length === 0) {\n log.push({ agent, type: \"error\", message: \"PDF extraction resulted in empty text content.\" });\n return null;\n }\n log.push({ agent, type: \"info\", message: `Successfully extracted ~${text.length} characters from PDF.` });\n return text;\n } catch (error) {\n const errorMessage = `Failed to extract text from PDF: ${error.message}`;\n log.push({ agent, type: \"error\", message: errorMessage });\n console.error(agent, errorMessage, error);\n return null;\n }\n }\n\n // --- Helper Function: Call OpenAI API ---\n async function callOpenAI(\n openai: OpenAI,\n systemPrompt: string,\n userMessage: string, // This will be the document text\n model = \"gpt-4o\", // Or your preferred model\n expectJson = true, // Legal AI Agent is expected to return JSON\n ): Promise

⚖️ Legal AI Document Analysis

Analysis Status & Results

⚖️ Legal AI Document Analysis

Analysis Status & Results

⚖️ Legal AI Document Analysis

Analysis Status & Results

⚖️ Legal AI Document Analysis (Dynamic Prompt)

Analysis Status & Results

⚖️ Legal AI Document Analysis (Dynamic Prompt)

Analysis Status & Results

History for main.tsx