Synaplan
開源 AI 平台,供企業使用:自行託管的 AI 代理、符合 GDPR 的聊天機器人小工具、RAG 知識庫、WhatsApp 與 Outlook AI、MCP、多模型路由。Docker、Kubernetes 或託管於 Germ
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正在載入完整 README。
檢視完整 README ↗A voice agent (Vaani) answers enquiry calls for Aangan Studio, an interior design studio in Pune. When a call ends, Vaani sends the call to this app, which reads it with OpenAI, applies the qualification rules, saves it in Neon, books/looks up the Cal.com consultation, creates a HubSpot deal for qualified enquiries, emails the designer (Resend) and shows everything on a password-protected dashboard.
Phone calls only. WhatsApp and web forms are out of scope.
agent/system-prompt.ts — what the voice agent says (includes the one allowed pricing reply). npm run agent:create pushes it to Vaani.app/api/vaani-webhook/route.ts — receives the finished call (needs ?token=WEBHOOK_TOKEN).lib/extract.ts — OpenAI turns the transcript into plain facts.lib/qualification.ts — the rules. Edit rules here; defaults are marked DEFAULT.lib/cal.ts, lib/hubspot.ts, lib/handoff.ts — Cal.com, HubSpot, Resend.app/page.tsx — the dashboard. It is open to anyone with the link; phone numbers are masked.db/schema.sql — the one calls table. npm run setup:db creates it.npm install.env.example to .env.local and fill in every value. Never commit .env.local.npm run setup:db, then npm run dev.npm run test:rules — rules against 20 scripted calls (no internet).npm run test:extraction — the same 20 calls through OpenAI (uses your OpenAI key).
The 20 calls are scripted from the project brief, not the original transcripts.