mirror of
https://github.com/openclaw/openclaw.git
synced 2026-03-18 05:20:48 +00:00
- Implemented Upstash Vector as a cloud-based storage solution for document chunks, replacing the local LanceDB option. - Added auto-detection of storage mode based on environment variables for seamless integration. - Updated the chat API to utilize the new retrieval mechanism, enhancing response accuracy and performance. - Enhanced README with setup instructions for Upstash and updated environment variable requirements. - Introduced new scripts and configurations for managing the vector index and API interactions.
41 lines
1.1 KiB
TypeScript
41 lines
1.1 KiB
TypeScript
/**
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* Health check endpoint for docs-chat API.
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*/
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import type { VercelRequest, VercelResponse } from "@vercel/node";
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import { DocsStore } from "../rag/store-upstash.js";
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const corsHeaders: Record<string, string> = {
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"Access-Control-Allow-Origin": "*",
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"Access-Control-Allow-Methods": "GET, OPTIONS",
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"Access-Control-Allow-Headers": "Content-Type",
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};
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export default async function handler(req: VercelRequest, res: VercelResponse) {
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// Handle CORS preflight
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if (req.method === "OPTIONS") {
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Object.entries(corsHeaders).forEach(([key, value]) => {
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res.setHeader(key, value);
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});
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res.status(204).end();
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return;
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}
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if (req.method !== "GET") {
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res.status(405).json({ error: "Method not allowed" });
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return;
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}
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try {
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const store = new DocsStore();
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const count = await store.count();
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Object.entries(corsHeaders).forEach(([key, value]) => {
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res.setHeader(key, value);
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});
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res.status(200).json({ ok: true, chunks: count, mode: "upstash-vector" });
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} catch (err) {
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console.error("Health check error:", err);
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res.status(500).json({ ok: false, error: "Failed to connect to vector store" });
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}
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}
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