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| 1 | +import { NextRequest, NextResponse } from 'next/server'; |
| 2 | +import { streamChat, ChatMessage } from '@/lib/ai/openai'; |
| 3 | + |
| 4 | +// Opt into the Edge runtime. This allows streaming responses with low |
| 5 | +// latency and keeps dependencies out of the Node.js layer. |
| 6 | +export const runtime = 'edge'; |
| 7 | + |
| 8 | +/** |
| 9 | + * POST /api/ai/chat |
| 10 | + * |
| 11 | + * Accepts a JSON body containing a list of chat messages and optional model |
| 12 | + * configuration. Invokes the OpenAI chat completion API and streams the |
| 13 | + * assistant's response back as raw text. If another AI provider is |
| 14 | + * configured via AI_PROVIDER, a 400 will be returned. |
| 15 | + */ |
| 16 | +export async function POST(req: NextRequest) { |
| 17 | + try { |
| 18 | + const { messages, model, temperature } = await req.json(); |
| 19 | + |
| 20 | + // Basic validation |
| 21 | + if (!Array.isArray(messages)) { |
| 22 | + return NextResponse.json({ success: false, error: 'messages must be an array' }, { status: 400 }); |
| 23 | + } |
| 24 | + |
| 25 | + // Only support openai provider for now |
| 26 | + const provider = process.env.AI_PROVIDER || 'openai'; |
| 27 | + if (provider !== 'openai') { |
| 28 | + return NextResponse.json({ success: false, error: `Unsupported AI provider: ${provider}` }, { status: 400 }); |
| 29 | + } |
| 30 | + |
| 31 | + // Call OpenAI and forward the response |
| 32 | + const response = await streamChat({ |
| 33 | + messages: messages as ChatMessage[], |
| 34 | + model, |
| 35 | + temperature, |
| 36 | + }); |
| 37 | + |
| 38 | + if (!response.ok || !response.body) { |
| 39 | + let errorMessage: string; |
| 40 | + try { |
| 41 | + const data = await response.json(); |
| 42 | + errorMessage = data?.error?.message || response.statusText; |
| 43 | + } catch { |
| 44 | + errorMessage = response.statusText; |
| 45 | + } |
| 46 | + return NextResponse.json({ success: false, error: errorMessage }, { status: response.status }); |
| 47 | + } |
| 48 | + |
| 49 | + // Transform OpenAI's SSE stream into raw text |
| 50 | + const encoder = new TextEncoder(); |
| 51 | + const openaiStream = response.body; |
| 52 | + const stream = new ReadableStream<Uint8Array>({ |
| 53 | + async start(controller) { |
| 54 | + const reader = openaiStream!.getReader(); |
| 55 | + const decoder = new TextDecoder('utf-8'); |
| 56 | + let buffer = ''; |
| 57 | + const push = (text: string) => { |
| 58 | + controller.enqueue(encoder.encode(text)); |
| 59 | + }; |
| 60 | + while (true) { |
| 61 | + const { value, done } = await reader.read(); |
| 62 | + if (done) break; |
| 63 | + buffer += decoder.decode(value, { stream: true }); |
| 64 | + const lines = buffer.split('\n'); |
| 65 | + buffer = lines.pop() ?? ''; |
| 66 | + for (const line of lines) { |
| 67 | + const trimmed = line.trim(); |
| 68 | + if (!trimmed.startsWith('data:')) continue; |
| 69 | + const payload = trimmed.replace(/^data:\s*/, ''); |
| 70 | + if (payload === '[DONE]') { |
| 71 | + controller.close(); |
| 72 | + return; |
| 73 | + } |
| 74 | + try { |
| 75 | + const parsed = JSON.parse(payload); |
| 76 | + const delta: string = parsed.choices?.[0]?.delta?.content ?? ''; |
| 77 | + if (delta) { |
| 78 | + push(delta); |
| 79 | + } |
| 80 | + } catch { |
| 81 | + // Skip malformed lines |
| 82 | + } |
| 83 | + } |
| 84 | + } |
| 85 | + controller.close(); |
| 86 | + }, |
| 87 | + }); |
| 88 | + |
| 89 | + return new Response(stream, { |
| 90 | + headers: { |
| 91 | + 'Content-Type': 'text/plain; charset=utf-8', |
| 92 | + }, |
| 93 | + }); |
| 94 | + } catch (err) { |
| 95 | + console.error('[api/ai/chat] Error:', err); |
| 96 | + return NextResponse.json({ success: false, error: (err as Error)?.message || 'Internal error' }, { status: 500 }); |
| 97 | + } |
| 98 | +} |
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