# EGBE Chatbot Template

Next.js chatbot wired to the EGBE infra. Based on [vercel/chatbot](https://github.com/vercel/chatbot) (Apache 2.0).

## What's wired

- **AI** via `@ai-sdk/openai-compatible` → `EGBE_AI_API_URL` (LiteLLM proxy)
- **Auth** — NextAuth credentials + guest mode
- **DB** — Drizzle ORM + Postgres (provisioned by app-deploy.sh)
- **Analytics** — Umami `<Script>` mounted when `NEXT_PUBLIC_UMAMI_*` env are set
- **Subscriptions** — Free / Pro tiers, daily quotas, tool-call metering, real Stripe checkout via the EGBE payment gateway

## Models (via LiteLLM)

`gpt-5.4-mini` (default), `gpt-5.4`, `claude-sonnet`, `claude-haiku`, `kimi-k2.6`, `minimax-m2.7`, `qwen3-coder`. Edit `lib/ai/models.ts`.

## Subscription model

Two tiers (see `lib/subscription/config.ts`):

| Tier | Messages / day | Tool calls / day |
|------|----------------|------------------|
| Free | 10             | 5                |
| Pro  | 1000           | 500              |

- **Message limit** — enforced in `app/(chat)/api/chat/route.ts` via `checkAndConsume(userId, "chat_message")` before `streamText`.
- **Tool limit** — `getWeather` is wrapped with `withLimit(tool, "tool_call", userId)` (see `lib/ai/tools/with-limit.ts`). Every tool call deducts 1 unit; if quota is hit the tool returns `{ error: "limit_exceeded", ... }` which the model sees and explains to the user.
- **Quota badge** — `<UsageBadge />` in the chat header polls `/api/usage` every 15s.
- **Upgrade flow** — `/pricing` → POST `/api/billing/checkout` → redirect to Stripe → webhook at `/api/billing/webhook` flips the user's tier on `checkout.session.completed`.

To add a new tool with metering, just wrap it the same way:

```ts
const meteredFoo = withLimit(myFooTool, "tool_call", session.user.id);
```

To add a new limit kind, edit `lib/subscription/config.ts` (`LimitKey`, `LIMITS`) and `lib/subscription/service.ts`.

## Deploy (from inside an OpenClaw instance)

```bash
# 1. provision Umami site (optional — chatbot works without analytics)
${SKILLS_DIR}/../analytics/scripts/analytics-site-create.sh chatbot chatbot.${EGBE_INSTANCE_PUBLIC_ID}.p.egbe.app "Chatbot"

# 2. (optional) create a Stripe product + price for the Pro plan
#    Without PRO_STRIPE_PRICE_ID the upgrade button returns 501.
curl -s -H "Authorization: Bearer ${EGBE_GATEWAYS_TOKEN}" -H "Content-Type: application/json" \
  -d '{"name":"Chatbot Pro"}' "${EGBE_PAYMENT_GATEWAY_URL}/v1/products"
# then create a price referencing the returned product id, copy the price id

# 3. deploy
APP_ENV_JSON='{"AUTH_SECRET":"'$(openssl rand -base64 32)'","PRO_STRIPE_PRICE_ID":"price_..."}' \
  ${SKILLS_DIR}/scripts/app-deploy.sh chatbot chatbot-template
```

`app-deploy.sh` auto-injects: `DATABASE_URL`, `EGBE_AI_API_*`, `NEXT_PUBLIC_BASE_URL`, `NEXT_PUBLIC_UMAMI_*`, `EGBE_PAYMENT_GATEWAY_*`, `EGBE_GATEWAYS_TOKEN`. You pass `AUTH_SECRET` and `PRO_STRIPE_PRICE_ID` (if billing is desired) via `APP_ENV_JSON`.

## Local dev

```bash
cp .env.example .env.local
# fill in DATABASE_URL, EGBE_AI_API_KEY, AUTH_SECRET
pnpm install
pnpm db:migrate
pnpm dev
```

## License

Apache 2.0 — derivative work of Vercel, Inc.'s [chatbot](https://github.com/vercel/chatbot).