Lexi - AI Legal Assistant

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\n${\n [\"dashboard\", \"new-matter\", \"matter-detail\", \"new-analysis\", \"analysis-detail\", \"settings\"].map(v =>\n `

`\n ).join(\"\")\n }\n

\n\n\n`;\n}\n\nexport default async function(req: Request) {\n const { OpenAI } = await import(\"https://esm.town/v/std/openai\");\n // We remove PDFExtract from the server as it's now a client-side dependency for the demo\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 if (req.method === \"OPTIONS\") return new Response(null, { status: 204, headers: CORS_HEADERS });\n\n const url = new URL(req.url);\n const format = url.searchParams.get(\"format\");\n const action = url.searchParams.get(\"action\");\n const sourceUrl = import.meta.url.replace(\"esm.town\", \"val.town\");\n const openai = new OpenAI();\n const MAX_TEXT_ANALYZE = 40000; // Increased context for multi-doc\n\n const jsonResponse = (body: object, status: number) =>\n new Response(JSON.stringify(body), { status, headers: { ...CORS_HEADERS, \"Content-Type\": \"application/json\" } });\n\n async function callAI(systemPrompt: string, log: LogEntry[], agentName: string): Promise

legal

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