AI Chat

\n {messages\n .filter(m => m.role !== 'system')\n .map((msg, index) => (\n

\n {msg.content}\n

\n ))}\n {isLoading && (\n

\n Thinking... 💭\n

\n )}\n

\n \n \n View Source\n \n

\n );\n}\n\nfunction client() {\n createRoot(document.getElementById(\"root\")).render();\n}\nif (typeof document !== \"undefined\") { client(); }\n\nexport default async function server(request: Request): Promise {\n if (request.method === 'POST') {\n try {\n const { OpenAI } = await import(\"https://esm.town/v/std/openai\");\n const openai = new OpenAI();\n \n const { messages } = await request.json();\n\n const completion = await openai.chat.completions.create({\n messages: messages,\n model: \"gpt-4o-mini\",\n max_tokens: 300,\n });\n\n return Response.json({ \n message: completion.choices[0].message.content \n });\n } catch (error) {\n console.error(error);\n return new Response(JSON.stringify({ \n error: 'Failed to generate response' \n }), { status: 500 });\n }\n }\n\n return new Response(`\n \n \n AI Chat\n \n \n \n \n

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