f9d454f5c7
Bootstrap posthog-js with the persisted install ID from the server, forward distinctId to API routes, and restructure feedback traces to use chronological conversation order.
93 lines
2.6 KiB
TypeScript
93 lines
2.6 KiB
TypeScript
import { readFileSync, existsSync } from "node:fs";
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import { join } from "node:path";
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import { resolveWebChatDir } from "@/lib/workspace";
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import { trackServer } from "@/lib/telemetry";
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export const runtime = "nodejs";
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type ChatLine = {
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id: string;
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role: "user" | "assistant";
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content: string;
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parts?: Array<Record<string, unknown>>;
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};
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function extractTextContent(line: ChatLine): string {
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if (line.parts) {
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return line.parts
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.filter((p) => p.type === "text" && typeof p.text === "string")
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.map((p) => p.text as string)
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.join("");
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}
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return line.content;
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}
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/**
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* POST /api/feedback
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*
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* When a user submits thumbs up/down feedback, emit an un-redacted
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* $ai_trace event to PostHog so the full conversation is visible
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* in LLM Analytics regardless of the extension's privacy mode.
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*/
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export async function POST(req: Request) {
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try {
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const { sessionId, messageId, distinctId } = (await req.json()) as {
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sessionId?: string;
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messageId?: string;
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distinctId?: string;
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};
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if (!sessionId) {
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return Response.json({ ok: true });
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}
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const filePath = join(resolveWebChatDir(), `${sessionId}.jsonl`);
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if (!existsSync(filePath)) {
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return Response.json({ ok: true });
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}
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const lines: ChatLine[] = readFileSync(filePath, "utf-8")
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.trim()
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.split("\n")
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.filter((l) => l.trim())
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.map((l) => {
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try { return JSON.parse(l) as ChatLine; } catch { return null; }
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})
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.filter((m): m is ChatLine => m !== null);
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// Include all messages up to (and including) the feedback target.
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let cutoff = lines.length;
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if (messageId) {
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const idx = lines.findIndex((m) => m.id === messageId);
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if (idx >= 0) cutoff = idx + 1;
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}
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const conversation = lines.slice(0, cutoff);
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const chronological = conversation.map((m) => ({
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role: m.role as "user" | "assistant",
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content: extractTextContent(m),
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}));
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const lastAssistant = [...conversation]
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.reverse()
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.find((m) => m.role === "assistant");
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trackServer(
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"$ai_trace",
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{
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$ai_trace_id: sessionId,
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$ai_session_id: sessionId,
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$ai_span_name: "chat_session",
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$ai_input_state: chronological.length > 0 ? chronological : undefined,
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$ai_output_state: lastAssistant
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? [{ role: "assistant" as const, content: extractTextContent(lastAssistant) }]
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: undefined,
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},
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distinctId,
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);
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} catch {
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// Fail silently -- feedback capture should never block the user.
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}
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return Response.json({ ok: true });
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}
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