errors-api-e2e
End-to-end smoke test for the public Errors HTTP API (error groups). Seeds failed runs into ClickHouse so the error materialized views populate, then drives…
Use this skill when writing or modifying Drizzle ORM schemas, queries, or migrations in this repo — specifically the `@internal/dashboard-agent-db` package (the dashboard agent's conversation datastore). Covers pg-core schema definition, the postgres-js driver, drizzle-kit
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Use this skill when writing or modifying Drizzle ORM schemas, queries, or migrations in this repo — specifically the `@internal/dashboard-agent-db` package (the dashboard agent's conversation datastore). Covers pg-core schema definition, the postgres-js driver, drizzle-kit
name: drizzle description: Use this skill when writing or modifying Drizzle ORM schemas, queries, or migrations in this repo — specifically the `@internal/dashboard-agent-db` package (the dashboard agent's conversation datastore). Covers pg-core schema definition, the postgres-js driver, drizzle-kit migrations, and this repo's conventions: a dedicated Postgres schema, foreign-key-free cross-database design, pooler-safe connections, and the access-pattern query layer. Drizzle is NOT the main database — that's Prisma. allowed-tools: Read, Write, Edit, Glob, Grep, Bash
Drizzle is used in exactly one place: **`internal-packages/dashboard-agent-db`** (`@internal/dashboard-agent-db`), the in-dashboard agent's conversation store. Everything else in the monorepo is **Prisma** (`@trigger.dev/database`). Keep them separate.
Pinned versions: **`drizzle-orm` ^0.45**, **`drizzle-kit` ^0.31** (dev), **`postgres` ^3.4** (postgres.js driver). drizzle-orm and drizzle-kit are intentionally on different version lines — 0.31.x is the correct companion for 0.45.x, there is no peer dependency between them.
1. **Drizzle is only the agent's own datastore.** The agent (and its task bundle) must have **no access to the main Prisma database or ClickHouse**. Never import the Prisma client into the agent task or into `@internal/dashboard-agent-db`. Main data is reached via the API, not Drizzle. 2. **Foreign-key-free.** In cloud this DB is a *separate* PlanetScale database, so it can't FK into the main DB. Reference main entities (`organizationId`, `userId`, …) **by id only — never `.references()`**. Joins happen in app code; tenant scoping is enforced in the query layer. 3. **One dedicated Postgres schema.** All tables live under `pgSchema("trigger_dashboard_agent")` so they're schema-qualified and isolated from Prisma's `public` schema (this is what makes the OSS single-database fallback safe). 4. **Pooler-safe connections.** Connections go through a transaction-mode pooler (PlanetScale / PgBouncer-style), so postgres.js must run with **`prepare: false`** — prepared statements don't survive a connection being handed to another client between checkouts. 5. **Node16 module resolution.** Relative imports need explicit **`.js`** extensions (`import { chats } from "./schema.js"`), even though the source is `.ts`. 6. **Scope every user query.** All queries that touch user data go through `src/queries.ts` and are scoped by `organizationId` / `userId`, so callers can't forget the `where`. Don't write ad-hoc cross-tenant queries elsewhere.
internal-packages/dashboard-agent-db/
drizzle.config.ts # drizzle-kit config (schema path, out dir, schemaFilter)
drizzle/ # generated migrations (committed)
src/
schema.ts # pgSchema + table definitions
client.ts # createDashboardAgentDb() — postgres.js + drizzle
queries.ts # the access-pattern layer (org/user-scoped)
index.ts # barrel: re-exports schema, client, queries`package.json` points `main`/`types` at `./src/index.ts` (consumed as source, no build step) — same as other simple internal packages.
Use `pgSchema(...).table(...)`, not the bare `pgTable`, so tables land in the dedicated schema. ([schemas](https://orm.drizzle.team/docs/schemas), [pg column types](https://orm.drizzle.team/docs/column-types/pg), [indexes](https://orm.drizzle.team/docs/indexes-constraints))
import { sql } from "drizzle-orm";
import { index, jsonb, pgSchema, text, timestamp } from "drizzle-orm/pg-core";
export const dashboardAgentSchema = pgSchema("trigger_dashboard_agent");
export const chats = dashboardAgentSchema.table(
"chats",
{
id: text("id").primaryKey(),
organizationId: text("organization_id").notNull(), // FK-free: id only, no .references()
userId: text("user_id").notNull(),
title: text("title").notNull().default("New chat"),
// JSONB with a typed view; .default([]) / .default({}) emit '[]'::jsonb / '{}'::jsonb
messages: jsonb("messages").$type<unknown[]>().notNull().default([]),
metadata: jsonb("metadata").$type<Record<string, unknown>>().notNull().default({}),
deletedAt: timestamp("deleted_at", { withTimezone: true }), // soft delete
lastMessageAt: timestamp("last_message_at", { withTimezone: true }),
createdAt: timestamp("created_at", { withTimezone: true }).notNull().defaultNow(),
},
// Extra config returns an ARRAY in drizzle-orm 0.36+ (not an object).
(t) => [
// Partial + ordered composite index. `.desc()` on the column, `.where(sql`...`)` for partial.
index("chats_org_user_last_msg_idx")
.on(t.organizationId, t.userId, t.lastMessageAt.desc())
.where(sql`${t.deletedAt} is null`),
]
);
// Inferred row types for the query layer + consumers.
export type Chat = typeof chats.$inferSelect;
export type NewChat = typeof chats.$inferInsert;Notes:
([connect overview](https://orm.drizzle.team/docs/connect-overview)) One small pool, `prepare: false`. In the agent task create it once in `onBoot` (per-process); in the webapp wrap it in the `singleton(...)` helper.
import { drizzle, type PostgresJsDatabase } from "drizzle-orm/postgres-js";
import postgres, { type Sql } from "postgres";
import * as schema from "./schema.js";
export type DashboardAgentDb = PostgresJsDatabase<typeof schema>;
export function createDashboardAgentDb(connectionString: string, opts: { max?: number } = {}) {
const sql: Sql = postgres(connectionString, {
max: opts.max ?? 5, // small — the pooler does theThe quickest way to get started is to create an account and project in our web app, and follow the instructions in the onboarding. Build and deploy your first task in minutes.
Repo: triggerdotdev/trigger.dev
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