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@chat-adapter/state-pg
Production PostgreSQL state adapter for Chat SDK built with pg (node-postgres). Use this when PostgreSQL is your primary datastore and you want state persistence without a separate Redis dependency.
Installation
pnpm add @chat-adapter/state-pg
Usage
createPostgresState() auto-detects POSTGRES_URL (or DATABASE_URL) so you can call it with no arguments:
import { Chat } from "chat";
import { createPostgresState } from "@chat-adapter/state-pg";
const bot = new Chat({
userName: "mybot",
adapters: { /* ... */ },
state: createPostgresState(),
});
To provide a URL explicitly:
const state = createPostgresState({
url: "postgres://postgres:postgres@localhost:5432/chat",
});
Using an existing client
import pg from "pg";
const client = new pg.Pool({ connectionString: process.env.POSTGRES_URL! });
const state = createPostgresState({ client });
Configuration
| Option | Required | Description |
|---|---|---|
url |
No* | Postgres connection URL |
client |
No | Existing pg.Pool instance |
keyPrefix |
No | Prefix for all state rows (default: "chat-sdk") |
logger |
No | Logger instance (defaults to ConsoleLogger("info").child("postgres")) |
*Either url, POSTGRES_URL/DATABASE_URL, or client is required.
Environment variables
POSTGRES_URL=postgres://postgres:postgres@localhost:5432/chat
Data model
The adapter creates these tables automatically on connect():
chat_state_subscriptions
chat_state_locks
chat_state_cache
All rows are namespaced by key_prefix.
Features
| Feature | Supported |
|---|---|
| Persistence | Yes |
| Multi-instance | Yes |
| Subscriptions | Yes |
| Distributed locking | Yes |
| Key-value caching | Yes (with TTL) |
| Automatic table creation | Yes |
| Key prefix namespacing | Yes |
Locking considerations
The Redis state adapters use atomic SET NX PX for lock acquisition, which is a single atomic operation. The PostgreSQL adapter uses INSERT ... ON CONFLICT DO UPDATE WHERE expires_at <= now(), which relies on Postgres row-level locking. This is safe for most workloads but under extreme contention (many processes competing for the same lock simultaneously) may behave slightly differently than Redis. For high-contention distributed locking, prefer the Redis adapter.
Expired row cleanup
Unlike Redis (which handles TTL expiry natively), PostgreSQL does not automatically delete expired rows. The adapter performs opportunistic cleanup — expired locks are overwritten on the next acquireLock() call, and expired cache entries are deleted on the next get() call for that key.
For high-throughput deployments, you may want to run a periodic cleanup job:
DELETE FROM chat_state_locks WHERE expires_at <= now();
DELETE FROM chat_state_cache WHERE expires_at <= now();
License
MIT