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@infra-tools/agentic-ui-server-stores

v1.2.3

Published

Redis and Postgres adapters for @infra-tools/agentic-ui-server's ThreadStateStore interface — multi-pod-safe thread state for production deployments.

Readme

@infra-tools/agentic-ui-server-stores

Production-ready adapters for @infra-tools/agentic-ui-server's ThreadStateStore<TState> interface — multi-pod-safe thread state for production deployments. Apache 2.0.

The base lib ships an InMemoryThreadStateStore that's adequate for single-pod deployments and tests. This package adds two production adapters:

| Adapter | Backed by | Best for | |---|---|---| | RedisThreadStateStore | ioredis | Lowest write latency; TTL via Redis EX. Recommended default. | | PostgresThreadStateStore | pg | Stronger durability; reuses existing Postgres infra. |

Install

npm install @infra-tools/agentic-ui-server-stores

# Plus whichever adapter(s) you use:
npm install ioredis     # for Redis
npm install pg          # for Postgres

ioredis and pg are declared as optional peer dependencies, so you only install the one you need. The package's exports field carries subpath entry points (/redis, /postgres) so the unused adapter's peer dep is never loaded.

Redis adapter

import Redis from 'ioredis';
import { RedisThreadStateStore } from '@infra-tools/agentic-ui-server-stores/redis';

const redis = new Redis(process.env.REDIS_URL!);

const store = new RedisThreadStateStore<{ specialist: string }>({
  client: redis,
  prefix: 'prod:agentic:thread',
  ttlSeconds: 86_400,
});

await store.set('thread-1', { specialist: 'bookings' });
const state = await store.get('thread-1');
// → { specialist: 'bookings' }

The store does not manage the ioredis client's lifecycle — callers create + dispose. This makes the store agnostic to whether the host uses a single shared client, a per-tenant client, or a Sentinel / cluster setup.

Wire into the orchestrator agent:

import { OrchestratorAgent } from '@infra-tools/agentic-ui-server';

const orchestrator = new OrchestratorAgent('coordinator', {
  specialists,
  classifier,
  threadStateStore: store,
});

Postgres adapter

import { Pool } from 'pg';
import {
  PostgresThreadStateStore,
  createSchemaSql,
} from '@infra-tools/agentic-ui-server-stores/postgres';

const pool = new Pool({ connectionString: process.env.DATABASE_URL });

// One-time: create the table. Run through your migration framework
// (knex / prisma / sqitch / hand-rolled). createSchemaSql() returns
// idempotent CREATE TABLE IF NOT EXISTS + index DDL.
await pool.query(createSchemaSql({ table: 'agentic.thread_state' }));

const store = new PostgresThreadStateStore<{ specialist: string }>({
  pool,
  table: 'agentic.thread_state',
  ttlSeconds: 86_400,
});

The Postgres adapter doesn't run the migration automatically — hosts apply it through their migration system so it's auditable + version-controlled like every other schema change.

TTL + cleanup

expires_at is set on every write. get filters by expires_at > now() so expired rows read as missing. The package does not run a sweeper itself — typical pattern is a daily cron + DELETE FROM agentic.thread_state WHERE expires_at < now().

Multi-tenancy

Both adapters are tenant-agnostic by design. The recommended pattern:

  • Redis: one store per tenant, with a tenant-scoped prefix (e.g. prod:t-123:agentic:thread).
  • Postgres: one store per tenant, with a tenant-scoped table argument or a shared table with row-level security.

A future ADR + cookbook entry will document the canonical multi-tenant pattern. Until then, the simplest path is per-tenant store instantiation.

Trade-offs at a glance

| Concern | In-memory (default) | Redis | Postgres | |---|---|---|---| | Multi-pod-safe | ❌ | ✅ | ✅ | | Survives restart | ❌ | ✅ (within TTL) | ✅ | | Write latency | ~µs | ~ms | ~few ms | | Operational dependency | none | new (Redis) | reuse existing Postgres | | TTL handling | n/a | Redis EX (native) | expires_at column + cron |

What this package does NOT do

  • Pub/sub on changes. For live cross-pod propagation of approval / operation registry state (ADR-011's RegistryProviderHook), the host wires a Redis pub/sub channel separately. A future cookbook entry covers the pattern.
  • Connection management. Callers own client lifecycles.
  • Migration management. createSchemaSql returns DDL; running it is the host's migration framework's job.
  • Built-in tenancy. One adapter instance per tenant; tenancy is a host pattern, not a store concern.

License

Apache 2.0 — see LICENSE.