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TypeScript Library for creating Flowcore Pathways, simplifying the integration with the flowcore platform","maintainers":[{"name":"jbiskur","email":"jbiskur@gmail.com"},{"name":"suuunly","email":"suuunly@gmail.com"}],"readme":"# Flowcore Pathways\n\nA TypeScript Library for creating Flowcore Pathways, simplifying the integration with the Flowcore platform. Flowcore\nPathways helps you build event-driven applications with type-safe pathways for processing and producing events.\n\n## Table of Contents\n\n- [Installation](#installation)\n- [Getting Started](#getting-started)\n- [Core Concepts](#core-concepts)\n- [Usage](#usage)\n  - [Creating a Pathways Builder](#creating-a-pathways-builder)\n  - [Runtime Defaults and Auto-Provisioning](#runtime-defaults-and-auto-provisioning)\n  - [Pump Concurrency](#pump-concurrency)\n  - [Notification Delivery and Write Timeouts](#notification-delivery-and-write-timeouts)\n  - [Registering Pathways](#registering-pathways)\n  - [Handling Events](#handling-events)\n  - [Writing Events](#writing-events)\n  - [Error Handling](#error-handling)\n  - [Event Observability](#event-observability)\n  - [Setting up a Router](#setting-up-a-router)\n  - [HTTP Server Integration](#http-server-integration)\n  - [Persistence Options](#persistence-options)\n  - [State Prefix (databases shared by several deployables)](#state-prefix-databases-shared-by-several-deployables)\n- [Advanced Usage](#advanced-usage)\n  - [Auditing](#auditing)\n  - [Custom Loggers](#custom-loggers)\n  - [Retry Mechanisms](#retry-mechanisms)\n  - [Pausing and Resuming Delivery](#pausing-and-resuming-delivery)\n  - [Large Events (Automatic Chunking)](#large-events-automatic-chunking)\n  - [Session Pathways](#session-pathways)\n- [File Pathways](#file-pathways)\n- [API Reference](#api-reference)\n\n## Installation\n\n```bash\n# Bun\nbunx jsr add @flowcore/pathways\n\n# Deno\ndeno add jsr:@flowcore/pathways\n\n# npm / yarn\nnpx jsr add @flowcore/pathways\n```\n\nor using npm:\n\n```bash\nnpm install @flowcore/pathways\n```\n\nor using yarn:\n\n```bash\nyarn add @flowcore/pathways\n```\n\n## Getting Started\n\nHere's a basic example to get you started with Flowcore Pathways:\n\n```typescript\nimport { z } from \"zod\"\nimport { PathwaysBuilder } from \"@flowcore/pathways\"\n\n// Define your event schema\nconst userSchema = z.object({\n  id: z.string(),\n  name: z.string(),\n  email: z.string(),\n})\n\n// Create a pathways builder\nconst pathways = new PathwaysBuilder({\n  baseUrl: \"https://api.flowcore.io\",\n  tenant: \"your-tenant\",\n  dataCore: \"your-data-core\",\n  apiKey: \"your-api-key\",\n})\n\n// Register a pathway\npathways\n  .register({\n    flowType: \"user\",\n    eventType: \"created\",\n    schema: userSchema,\n  })\n  .handle(\"user/created\", async (event) => {\n    console.log(`Processing user created event: ${event.eventId}`)\n    console.log(`User data:`, event.payload)\n\n    // Process the event...\n\n    // You can write to another pathway if needed\n    await pathways.write(\"notifications/sent\", {\n      data: {\n        userId: event.payload.id,\n        message: `Welcome ${event.payload.name}!`,\n        channel: \"email\",\n      },\n    })\n  })\n```\n\n## Core Concepts\n\nFlowcore Pathways is built around these core concepts:\n\n- **PathwaysBuilder**: The main entry point for creating and managing pathways\n- **Pathways**: Define event flows with schemas for type safety\n- **Handlers**: Process incoming events\n- **Writers**: Send events to pathways\n- **Router**: Direct incoming events to the appropriate pathway\n- **Persistence**: Store pathway state for reliable processing\n\n## Usage\n\n### Creating a Pathways Builder\n\nThe `PathwaysBuilder` is the main configuration point for your pathways:\n\n```typescript\nimport { PathwaysBuilder } from \"@flowcore/pathways\"\n\nconst pathways = new PathwaysBuilder({\n  baseUrl: \"https://api.flowcore.io\",\n  tenant: \"your-tenant\",\n  dataCore: \"your-data-core\",\n  apiKey: \"your-api-key\",\n  pathwayTimeoutMs: 10000, // Optional, default is 10000 (10s)\n  logger: customLogger, // Optional, defaults to NoopLogger\n})\n```\n\n### Runtime Defaults and Auto-Provisioning\n\n`PathwaysBuilder` drives different startup behavior based on `runtimeEnv` (auto-detected from `NODE_ENV` when omitted):\n\n| `runtimeEnv`  | `pathwayMode` default | Shared resources | Pathway registration                   | Local pump                           |\n| ------------- | --------------------- | ---------------- | -------------------------------------- | ------------------------------------ |\n| `production`  | `managed`             | provisioned      | opt-in (`autoProvision.pathway: true`) | not started (control plane delivers) |\n| `development` | `virtual`             | provisioned      | skipped                                | started (single instance)            |\n| `test`        | `virtual`             | skipped          | skipped                                | started                              |\n\n> **`development` never registers a pathway instance**, even with `autoProvision.pathway: true`. A pathway instance is a\n> shared control-plane resource: every developer boot would otherwise create one, pulse it, and poll for restart\n> commands meant for a real deployment. Set `allowDevelopmentPathwayRegistration: true` if you deliberately need one for\n> local control-plane work — it logs a warning on every boot. With no pathway instance there is no `pathwayId`, so pulse\n> and command polling stay off in development too.\n\n> **Why `managed` in production?** Virtual cluster mode requires long-lived processes with stable networking, which\n> breaks serverless runtimes such as Next.js on Vercel (port collisions, instrumentation hook behavior, non-leader pod\n> timeouts). `managed` routes event delivery through the Flowcore control plane and is safe in every runtime.\n\n#### Granular `autoProvision`\n\nPass an `AutoProvisionConfig` to turn individual provisioning stages on or off:\n\n```typescript\nimport { PathwaysBuilder } from \"@flowcore/pathways\"\n\nconst pathways = new PathwaysBuilder({\n  baseUrl: \"https://api.flowcore.io\",\n  tenant: \"your-tenant\",\n  dataCore: \"your-data-core\",\n  apiKey: process.env.FLOWCORE_API_KEY!,\n  runtimeEnv: \"production\",\n  pathwayName: \"orders-service\",\n  // pathwayMode defaults to \"managed\" in production\n  autoProvision: {\n    dataCore: true, // create/update the data core (default: true)\n    flowType: true, // create/update registered flow types (default: true)\n    eventType: true, // create/update registered event types (default: true)\n    pathway: true, // upsert the by-name pathway instance (default: false)\n  },\n})\n```\n\nOmitted fields fall back to resources-on / pathway-off, so most deployments only need to set `pathway: true` when they\nwant the by-name pathway registration. `pathway: true` has no effect when `runtimeEnv` is `\"development\"` — see the\nruntime table above.\n\nUnexpected lookup/list failures during shared-resource provisioning are treated as possible Flowcore outages by default:\nthey are logged and startup continues. Real not-found responses still follow the provisioning path. If create/update\nthen fails, the default is to throw.\n\nOverride this with `provisionFailure`:\n\n```typescript\nconst pathways = new PathwaysBuilder({\n  /* ... */\n  provisionFailure: {\n    check: \"continue\", // lookup/list outage behavior: \"continue\" (default) or \"throw\"\n    apply: \"throw\", // missing resource/create/update behavior: \"throw\" (default) or \"continue\"\n  },\n})\n```\n\nPassing `provisionFailure: \"throw\"` or `\"continue\"` applies the mode to both categories. The `apply` setting also\ncontrols by-name virtual/managed pathway registration failures.\n\nIndependent flow-type and event-type operations run with bounded parallelism. Parent-child stages remain ordered so the\ndata core exists before flow types, and flow types exist before event types. The default limit is four concurrent\noperations. Transient request failures retry three times in total with exponential backoff and jitter. Retryable\nfailures are HTTP 408, 429, 500, 502, 503, and 504, plus common network connection errors. A valid `Retry-After` is\nhonored without shortening it to `maxDelayMs` when response headers are available. The current Flowcore SDK does not\nexpose response headers for shared-resource commands, so those commands use exponential backoff. Ordinary 4xx responses,\nincluding 404, are not retried.\n\nTune both behaviors when needed:\n\n```typescript\nconst pathways = new PathwaysBuilder({\n  /* ... */\n  provisionConcurrency: 4,\n  provisionRetry: {\n    maxAttempts: 3, // includes the initial request\n    baseDelayMs: 250,\n    maxDelayMs: 5_000, // caps exponential backoff, not Retry-After\n    jitterRatio: 0.2,\n  },\n})\n```\n\nRetries run before `provisionFailure` is applied. Once attempts are exhausted, the existing check/apply policy decides\nwhether startup throws or logs and continues.\n\nTo disable everything (for CI or when resources are managed elsewhere):\n\n```typescript\nconst pathways = new PathwaysBuilder({\n  /* ... */\n  autoProvision: false, // or per-stage: { dataCore: false, flowType: false, eventType: false, pathway: false }\n})\n```\n\n#### Managed production example\n\n```typescript\nconst pathways = new PathwaysBuilder({\n  baseUrl: \"https://api.flowcore.io\",\n  tenant: \"your-tenant\",\n  dataCore: \"your-data-core\",\n  apiKey: process.env.FLOWCORE_API_KEY!,\n  runtimeEnv: \"production\",\n  pathwayName: \"orders-service\",\n  autoProvision: { pathway: true }, // register the managed pathway instance\n  managedConfig: {\n    endpointUrl: \"https://app.example.com/api/flowcore\",\n    authHeaders: { authorization: `Bearer ${process.env.TRANSFORM_TOKEN!}` },\n    sizeClass: \"medium\",\n  },\n})\n```\n\n#### Deprecated: `defaultAutoProvision`\n\n`defaultAutoProvision: boolean` still works but is deprecated — prefer `autoProvision`. Mapping:\n\n- `true` → `{ dataCore: true, flowType: true, eventType: true, pathway: false }`\n- `false` → `{ dataCore: false, flowType: false, eventType: false, pathway: false }`\n\n### Pump Concurrency\n\nControl how many events each pump processes in parallel via `startPump({ concurrency })`. Accepts a number (shared\ndefault) or a `PumpConcurrencyConfig` with per-flow-type and per-pump-group overrides:\n\n```typescript\n// Shared default across every pump\nawait pathways.startPump({ concurrency: 4 })\n\n// Per-flow-type overrides — unlisted flow types fall back to `default` (or 1)\nawait pathways.startPump({\n  concurrency: {\n    default: 2,\n    byFlowType: {\n      orders: 8,\n      audit: 1,\n    },\n    // Optional: per-(flowType, pumpGroup) override. Wins over byFlowType.\n    // Key format: `${flowType}::${pumpGroup}`.\n    byPumpGroup: {\n      \"orders::hot\": 16,\n    },\n  },\n})\n```\n\nOmit `concurrency` to keep the default of 1 per pump. `startPump()` also accepts a per-call `autoProvision` override\n(same shape as the builder-level option) for overriding provisioning behavior at a specific call site.\n\n> **Note**: this resolves to `processor.concurrency` on the underlying data pump, which bounds each reserved batch.\n> Pathways dispatches the events in that batch concurrently, waits for every event to settle, and acknowledges the batch\n> only when every event succeeds. If one event fails, successful siblings may be replayed, so handlers must be\n> idempotent. Resolution order per pump: `byPumpGroup[\"${flowType}::${pumpGroup}\"]` → `byFlowType[flowType]` →\n> `default`.\n\n### Splitting a flow type across multiple pumps\n\nBy default, every event type registered against the same `flowType` shares one pump. For high-throughput event types\nthat would otherwise starve their cold neighbours, register them with a distinct `pumpGroup` so they run on an isolated\npump with their own state cursor, processor concurrency, and restart backoff:\n\n```typescript\n// 8 cold event types share the default pump for orders.0\nfor (const eventType of [\"paid\", \"fulfilled\", \"cancelled\", \"refunded\", \"archived\", \"audited\", \"tagged\", \"noted\"]) {\n  pathways.register({ flowType: \"orders.0\", eventType, schema })\n}\n\n// 2 hot event types run on a separate \"hot\" pump — same flow type, isolated pump\npathways.register({ flowType: \"orders.0\", eventType: \"placed.0\", schema, pumpGroup: \"hot\" })\npathways.register({ flowType: \"orders.0\", eventType: \"shipped.0\", schema, pumpGroup: \"hot\" })\n\nawait pathways.startPump({\n  concurrency: { default: 2, byPumpGroup: { \"orders.0::hot\": 16 } },\n})\n```\n\nWhat this gives you per pump group:\n\n- **Isolated state cursor.** The Postgres `pathway_pump_state` table now has a composite primary key\n  `(flow_type, pump_group)`; existing rows are auto-migrated into `pump_group='default'` on first use.\n- **Independent processor concurrency** via `byPumpGroup`.\n- **Independent restart backoff.** A failure in the `hot` pump does not reset the cold pump's attempt counter, and the\n  restart loop keeps retrying with exponential backoff (capped at 30s) until the pump comes back — including when the\n  restart attempt itself throws synchronously.\n- **Pulse health.** When pulse reporting is configured, every group emits pulses with the resolved pathway UUID. The\n  Data Pathways CP pulse route (`POST /api/v1/pump-pulse`) validates `pathwayId` as a strict UUID, so each pulse goes\n  through unchanged regardless of pump group. Per-group health visibility (distinguishing `hot` from `default` for the\n  same flowType in the CP) is not yet wired and will land as an additive `pumpGroup` field through the SDK + CP.\n\n**Caveats (v2.4):**\n\n- The WebSocket notifier subscribes at `flowType` scope, so two pump groups on the same flow type receive identical\n  notifications and each pulls. Isolation is at processor + state, not bandwidth — checks are cheap, so this is usually\n  fine. If you need bandwidth isolation, use distinct flow types instead.\n- Cluster mode keeps a single global leader; per-pump-group leadership is not yet supported.\n- Downstream consumers that mirror `pathway_pump_state` in their own Drizzle schema MUST add a\n  `pump_group TEXT NOT NULL DEFAULT 'default'` column and update the primary key to `(flow_type, pump_group)` before\n  running `drizzle-kit push`, otherwise drizzle will try to drop the new column.\n\nCustom `PumpStateManagerFactory` implementations should accept a second `pumpGroup` argument:\n\n```typescript\nconst factory: PumpStateManagerFactory = (flowType, pumpGroup) => createMyStateManager(flowType, pumpGroup)\n```\n\nLegacy single-argument factories continue to work but share state across pump groups on the same flow type — a\ndeprecation warning is logged once per pump.\n\n### Notification Delivery and Write Timeouts\n\nA non-`fireAndForget` `write()` returns only once the local pump has processed the event. The pump learns that an event\nexists from an `event.stored.*` notification, so the write's latency is bounded by notification delivery — not by the\nwrite itself.\n\n**The write and the wait are separate concerns.** When `write()` throws a timeout, the event has already been stored\ndurably; only the acknowledgement is missing. Retrying such a write duplicates the event. If a notification is dropped\nin transit, the pump's own safety re-poll recovers it — but that re-poll is currently `20000ms`, which is longer than\nthe default `pathwayTimeoutMs` of `10000ms`. Any dropped notification therefore surfaces as a timeout on a write that\nactually succeeded.\n\n**On request paths, use `fireAndForget`:**\n\n```typescript\n// An HTTP handler should not block on downstream processing.\nawait pathways.write(\"order/placed\", {\n  data: orderData,\n  options: { fireAndForget: true },\n})\n```\n\nReach for the blocking form when the caller genuinely needs read-your-writes behaviour — a test, a migration, a CLI step\n— and raise `pathwayTimeoutMs` above the re-poll interval if a dropped notification must not fail the call:\n\n```typescript\nconst pathways = new PathwaysBuilder({\n  // ...other config\n  pathwayTimeoutMs: 25000, // above the 20s notifier re-poll\n})\n```\n\n#### Choosing a notifier\n\n`startPump({ notifier })` selects how the pump is told that new events exist. It defaults to `websocket`:\n\n```typescript\n// Default — long-lived websocket subscription, lowest latency.\nawait pathways.startPump({ notifier: { type: \"websocket\" } })\n\n// Polling — no notification dependency at all. Useful for low-volume workloads with long\n// idle windows, where a websocket can flap without surfacing an error.\nawait pathways.startPump({ notifier: { type: \"poller\", pollerIntervalMs: 60000 } })\n\n// NATS — subscribes to stored-event subjects directly, bypassing websocket fan-out.\nawait pathways.startPump({ notifier: { type: \"nats\", natsServers: [\"nats://nats:4222\"] } })\n```\n\n> **Upgrade warning (2.5.4).** Before 2.5.4 the `poller` and `nats` options were accepted but silently ignored: the\n> emitted configuration omitted the discriminator the data pump reads, so **every pump ran `websocket`** no matter what\n> was configured. From 2.5.4 you get the notifier you asked for. If you configured one of these, treat the upgrade as a\n> behaviour change, not a patch:\n>\n> - **`nats`** — the pump now really connects to your NATS servers. Confirm they are reachable from the workload before\n>   upgrading; a failing connection puts the pump into its restart backoff loop.\n> - **`poller`** — the pump now really polls. Note that `@flowcore/data-pump` currently waits\n>   `Math.min(pollerIntervalMs, 1000)`, so any interval above one second still polls every second. Budget for the\n>   request volume, and prefer `websocket` or `nats` if you chose polling to reduce load.\n\n### Registering Pathways\n\nRegister pathways with their schemas for type-safe event handling:\n\n```typescript\nimport { z } from \"zod\"\n\n// Define your event schema\nconst orderSchema = z.object({\n  orderId: z.string(),\n  userId: z.string(),\n  total: z.number(),\n  items: z.array(\n    z.Object({\n      id: z.string(),\n      quantity: z.number(),\n    }),\n  ),\n})\n\n// Register pathway\npathways.register({\n  flowType: \"order\",\n  eventType: \"placed\",\n  schema: orderSchema,\n  writable: true, // Optional, default is true\n  maxRetries: 3, // Optional, default is 3\n  retryDelayMs: 500, // Optional, default is 500\n  // Optional: isolate this event type onto a dedicated pump for the same flow type.\n  // Same (flowType, pumpGroup) pair shares one pump; different pumpGroup → different pumps.\n  // Omit (or pass \"default\") for the legacy single-pump-per-flowType behavior.\n  pumpGroup: \"hot\",\n})\n```\n\n### Handling Events\n\nSet up handlers to process events for specific pathways:\n\n```typescript\nconst pathwayKey = \"order/placed\"\n\npathways.handle(pathwayKey, async (event) => {\n  console.log(`Processing order ${event.payload.orderId}`)\n\n  // Access typed payload data\n  const { userId, total, items } = event.payload\n\n  // Your business logic here\n  await updateInventory(items)\n  await notifyUser(userId, total)\n})\n```\n\n### Writing Events\n\nSend events to pathways:\n\n```typescript\n// Basic write\nconst eventId = await pathways.write(\"order/placed\", {\n  data: {\n    orderId: \"ord-123\",\n    userId: \"user-456\",\n    total: 99.99,\n    items: [\n      { id: \"item-1\", quantity: 2 },\n    ],\n  },\n})\n\n// Write with metadata\nconst eventId2 = await pathways.write(\"order/placed\", {\n  data: orderData,\n  metadata: {\n    correlationId: \"corr-789\",\n    source: \"checkout-service\",\n  },\n})\n\n// Fire-and-forget mode (doesn't wait for processing).\n// Prefer this on request paths — see \"Notification Delivery and Write Timeouts\".\nconst eventId3 = await pathways.write(\"order/placed\", {\n  data: orderData,\n  options: {\n    fireAndForget: true,\n  },\n})\n\n// Batch write multiple events\nconst eventIds = await pathways.write(\"order/placed\", {\n  batch: true,\n  data: [orderData1, orderData2, orderData3],\n})\n\n// Batch write with metadata\nconst eventIds2 = await pathways.write(\"order/placed\", {\n  batch: true,\n  data: [orderData1, orderData2],\n  metadata: {\n    source: \"bulk-import\",\n  },\n})\n```\n\n### Error Handling\n\nHandle errors in pathway processing:\n\n```typescript\n// Error handler for a specific pathway\npathways.onError(\"order/placed\", (error, event) => {\n  console.error(`Error processing order ${event.payload.orderId}:`, error)\n  reportToMonitoring(error, event)\n})\n\n// Global error handler for all pathways\npathways.onAnyError((error, event, pathway) => {\n  console.error(`Error in pathway ${pathway}:`, error)\n  reportToMonitoring(error, event, pathway)\n})\n```\n\n### Event Observability\n\nSubscribe to events for observability at different stages:\n\n```typescript\n// Before processing\npathways.subscribe(\"order/placed\", (event) => {\n  console.log(`About to process order ${event.payload.orderId}`)\n}, \"before\")\n\n// After processing\npathways.subscribe(\"order/placed\", (event) => {\n  console.log(`Finished processing order ${event.payload.orderId}`)\n}, \"after\")\n\n// At both stages\npathways.subscribe(\"order/placed\", (event) => {\n  console.log(`Event ${event.eventId} at ${new Date().toISOString()}`)\n}, \"all\")\n```\n\n### Setting up a Router\n\nThe `PathwayRouter` routes incoming events to the appropriate pathway:\n\n```typescript\nimport { PathwayRouter } from \"@flowcore/pathways\"\n\n// Create a router with a secret key for validation\nconst WEBHOOK_SECRET = \"your-webhook-secret\"\nconst router = new PathwayRouter(pathways, WEBHOOK_SECRET)\n\n// Process an incoming event from a webhook\nasync function handleWebhook(req: Request) {\n  const event = await req.json()\n  const secret = req.headers.get(\"X-Webhook-Secret\")\n\n  try {\n    // This validates the secret and routes to the right pathway\n    await router.processEvent(event, secret)\n    return new Response(\"Event processed\", { status: 200 })\n  } catch (error) {\n    console.error(\"Error processing event:\", error)\n    return new Response(\"Error processing event\", { status: 500 })\n  }\n}\n```\n\n### HTTP Server Integration\n\nIntegrate with Deno's HTTP server:\n\n```typescript\nimport { serve } from \"https://deno.land/std/http/server.ts\"\n\nserve(async (req: Request) => {\n  const url = new URL(req.url)\n\n  if (req.method === \"POST\" && url.pathname === \"/webhook\") {\n    return handleWebhook(req)\n  }\n\n  return new Response(\"Not found\", { status: 404 })\n}, { port: 3000 })\n```\n\n### Persistence Options\n\nFlowcore Pathways supports different persistence options to track processed events and ensure exactly-once processing.\n\n#### Default In-Memory KV Store (Development)\n\nBy default, Flowcore Pathways uses an internal in-memory KV store for persistence:\n\n```typescript\n// The default persistence is used automatically, no explicit setup required\nconst pathways = new PathwaysBuilder({\n  baseUrl: \"https://api.flowcore.io\",\n  tenant: \"your-tenant\",\n  dataCore: \"your-data-core\",\n  apiKey: \"your-api-key\",\n})\n```\n\nThe internal store uses the appropriate KV adapter for your environment (Bun, Node, or Deno), but note that this state\nis not persistent across application restarts and should be used primarily for development.\n\n#### PostgreSQL Persistence (Production)\n\nFor production environments, you can use PostgreSQL for reliable and scalable persistence:\n\n```typescript\nimport { createPostgresPathwayState, PostgresPathwayState } from \"@flowcore/pathways\"\n\n// Create a PostgreSQL state handler\nconst postgresState = createPostgresPathwayState({\n  host: \"localhost\",\n  port: 5432,\n  user: \"postgres\",\n  password: \"postgres\",\n  database: \"pathway_db\",\n  tableName: \"pathway_state\", // Optional, defaults to \"pathway_state\"\n  ttlMs: 300000, // Optional, defaults to 5 minutes (300000ms)\n  cleanupIntervalMs: 60000, // Optional, expired rows are swept at most once per minute (0 = on every lookup)\n  ssl: false, // Optional, defaults to false\n})\n\n// Use PostgreSQL for pathway state\npathways.withPathwayState(postgresState)\n```\n\nThe PostgreSQL implementation:\n\n- Automatically creates the necessary table if it doesn't exist\n- Includes TTL-based automatic cleanup of processed events\n- Creates appropriate indexes for performance\n\n### State Prefix (databases shared by several deployables)\n\n**Set `statePrefix` when two or more deployables share ONE PostgreSQL connection string.** Without it they contend for a\nsingle cluster leader lease. Only one of them starts a data pump. The others log\n`Could not acquire lease, becoming worker` and their projections stall silently — writes still succeed, so the failure\nis invisible at the API layer.\n\n`statePrefix` namespaces every table and key this library owns:\n\n| State               | No prefix (default)      | `statePrefix: \"compute_api\"`         |\n| ------------------- | ------------------------ | ------------------------------------ |\n| Pathway state table | `pathway_state`          | `compute_api_pathway_state`          |\n| Lease table         | `pathway_leases`         | `compute_api_pathway_leases`         |\n| Instance table      | `pathway_instances`      | `compute_api_pathway_instances`      |\n| Pump state table    | `pathway_pump_state`     | `compute_api_pathway_pump_state`     |\n| Chunk table         | `pathway_chunks`         | `compute_api_pathway_chunks`         |\n| Leader lease key    | `pathway-cluster-leader` | `compute_api_pathway-cluster-leader` |\n\n**The default is no prefix.** Existing deployments keep their exact table names and lease key value. There is no\nmigration.\n\n```typescript\nimport {\n  createPostgresPathwayCoordinator,\n  createPostgresPathwayState,\n  createPostgresPumpStateManagerFactory,\n} from \"@flowcore/pathways\"\n\nconst STATE_PREFIX = \"compute_api\" // \"compute_reconciler\" in the sibling deployable\n\nconst coordinator = await createPostgresPathwayCoordinator(\n  { connectionString: process.env.DATABASE_URL! },\n  { statePrefix: STATE_PREFIX },\n)\n\npathways.withPathwayState(\n  createPostgresPathwayState({\n    connectionString: process.env.DATABASE_URL!,\n    statePrefix: STATE_PREFIX,\n  }),\n)\n\n// The cluster reads the coordinator's lease key, so the prefix is set in one place only.\nawait pathways.startCluster({\n  coordinator,\n  advertisedAddress: `ws://${process.env.HOSTNAME}`,\n  port: 9090,\n})\n\nawait pathways.startPump({\n  stateManagerFactory: await createPostgresPumpStateManagerFactory({\n    connectionString: process.env.DATABASE_URL!,\n    statePrefix: STATE_PREFIX,\n  }),\n})\n```\n\nRules:\n\n- A prefix must start with a letter or underscore and contain only letters, digits and underscores. It reaches SQL as\n  part of an identifier, so anything else is rejected. Maximum length is 40 characters.\n- An explicit `tableName`, `leasesTable`, `instancesTable` or `leaseKey` always overrides the prefix.\n- `ClusterManager` resolves its lease key from `leaseKey`, then `statePrefix`, then `coordinator.leaseKey`, then the\n  default. Setting the prefix on the coordinator alone is enough.\n- Use the same prefix for every state library inside one deployable. Use a different prefix in each deployable.\n- If you mirror these tables in Drizzle, update your schema and your `tablesFilter` to the prefixed names.\n- `ClusterManager` logs its `leaseKey` on start and on every role change. Two deployables that report the same key are\n  contending.\n\n## Advanced Usage\n\n### Auditing\n\nEnable auditing to track events:\n\n```typescript\n// Set up auditing\npathways\n  .withAudit((path, event) => {\n    console.log(`Audit: ${path} event ${event.eventId}`)\n    logToAuditSystem(path, event)\n  })\n  .withUserResolver(async () => {\n    // Get the current user ID from context\n    return {\n      entityId: \"user-123\",\n      entityType: \"user\",\n    }\n  })\n```\n\n### Custom Loggers\n\nCreate a custom logger:\n\n```typescript\nimport { Logger } from \"@flowcore/pathways\"\n\nclass MyCustomLogger implements Logger {\n  debug(message: string, context?: Record<string, unknown>): void {\n    console.debug(`[DEBUG] ${message}`, context)\n  }\n\n  info(message: string, context?: Record<string, unknown>): void {\n    console.info(`[INFO] ${message}`, context)\n  }\n\n  warn(message: string, context?: Record<string, unknown>): void {\n    console.warn(`[WARN] ${message}`, context)\n  }\n\n  error(message: string, error?: Error, context?: Record<string, unknown>): void {\n    console.error(`[ERROR] ${message}`, error, context)\n  }\n}\n\n// Use custom logger\nconst pathways = new PathwaysBuilder({\n  // ...other config\n  logger: new MyCustomLogger(),\n})\n```\n\n### Retry Mechanisms\n\nConfigure retry behavior for pathways:\n\n```typescript\n// Global timeout for pathway processing\nconst pathways = new PathwaysBuilder({\n  // ...other config\n  pathwayTimeoutMs: 15000, // 15 seconds\n})\n\n// Per-pathway retry configuration\npathways.register({\n  flowType: \"payment\",\n  eventType: \"process\",\n  schema: paymentSchema,\n  maxRetries: 5, // Retry up to 5 times\n  retryDelayMs: 1000, // 1 second between retries\n})\n```\n\n### Pausing and Resuming Delivery\n\nThe Flowcore control plane can pause a pathway's delivery without stopping it. Use it to hold events back while a\ndownstream system is repaired, then continue from exactly the same position.\n\nA paused pump keeps fetching, keeps its buffer, keeps its cursor and keeps reporting pulses. Only delivery to your\nhandlers stops, so the control plane still sees a live pathway rather than a dead one. A batch already inside a handler\nfinishes and acknowledges, so nothing is redelivered needlessly.\n\n#### Commands\n\nThree command types arrive through the existing poll-based command queue:\n\n| Type              | Effect                                       |\n| ----------------- | -------------------------------------------- |\n| `datapumpPause`   | Stops delivery on the targeted pumps         |\n| `datapumpResume`  | Continues delivery from the same position    |\n| `datapumpRestart` | Repositions the cursor on the targeted pumps |\n\nAll three share one target list, carried in the command's `sourceFlowTypes`:\n\n| Entry             | Targets                            |\n| ----------------- | ---------------------------------- |\n| `\"orders.0\"`      | Every pump group on that flow type |\n| `\"orders.0::hot\"` | That one pump only                 |\n| empty or absent   | Every pump                         |\n\nThe composite `flowType::pumpGroup` form is the same string the `concurrency.byPumpGroup` option uses, so pump groups\nneed no separate field.\n\nA command that matches no pump is reported as **failed**, never as a successful no-op. An unknown command type is\nreported as failed too. Both cases mean the command changed nothing, and an operator must not believe otherwise.\n\n#### Making the pause durable\n\nA pause must outlive the process. Without a durable store a redeploy, a pod restart or a cluster leader change brings\nthe pathway back delivering, silently, while your dashboard still reads \"paused\".\n\nThe default store is **in memory**. Configure a durable one in production:\n\n```typescript\nimport { createPostgresPathwayDeliveryStore } from \"@flowcore/pathways\"\n\npathways.withPathwayDeliveryStore(\n  createPostgresPathwayDeliveryStore({\n    connectionString: process.env.DATABASE_URL!,\n    statePrefix: \"compute_api\", // optional, yields compute_api_pathway_delivery_state\n  }),\n)\n```\n\nThe pause is then re-applied **before** the pumps start, so a restarted pathway comes back paused at the same position\nwithout delivering a batch on the way up. Cluster leader changes read the same row, so a failover inherits the pause.\n\nImplement `PathwayDeliveryStore` yourself if you keep this state somewhere else.\n\n#### Controlling pumps in code\n\nThe same operations are available directly on the pump:\n\n```typescript\nconst pump = pathways.pump!\n\npump.pause() // every pump\npump.pause({ keys: [\"orders.0::hot\"] }) // one pump group\npump.pause({ flowTypes: [\"orders.0\"] }) // every group on a flow type\n\npump.isPaused(\"orders.0\", \"hot\") // true\npump.pausedGroups // [\"orders.0::hot\"]\n\npump.resume({ keys: [\"orders.0::hot\"] })\n```\n\n`pause()` and `resume()` return the keys they acted on. An empty array means the filter matched nothing.\n\nTwo limits to know:\n\n- A paused pump holds up to `bufferSize` events in memory (default 1000 per pump).\n- Pausing does not stop `write()`. Ingestion continues, and the events wait to be delivered.\n\n### Large Events (Automatic Chunking)\n\nFlowcore rejects a single event whose payload is larger than 64 000 bytes\n(`400 Event size exceeds maximum limit of 64000 bytes`). Pathways can split and reassemble such events for you.\n**Chunking is off until you configure a chunk store with `withPathwayChunkStore()`.** Without a store, an oversized\nwrite fails with the Flowcore error as before, and a consumer that receives a part event throws.\n\n- `write()` measures the payload as it will go on the wire (after encryption, when the pathway is encrypted). A payload\n  over the cap is split on UTF-8 boundaries into part events, each well under the cap, and sent in one batch request.\n- `process()` collects the parts in a **chunk store**. The call that receives the last missing part reassembles the\n  payload, verifies its SHA-256 digest, and continues with the normal path: schema validation, audit, cluster routing,\n  and your handler. Your handler sees one event with the full payload. The other parts never reach it.\n- A logical event keeps the event id of part 1. `write()` returns that id, and a write without `fireAndForget` waits\n  until every part is processed.\n- Batch writes work the same way. Only oversized items are expanded, and the returned array still has one id per input\n  item.\n- Encrypted pathways stay encrypted. Every slice is encrypted on its own. The chunk header (id, part number, part count,\n  digest) is plaintext, the payload data is not.\n- File pathways are not chunked here. The Flowcore file endpoint splits files on the server.\n\n#### Chunk store\n\nConfiguring a chunk store turns chunking on for both writes and processing. `InternalPathwayChunkStore` is in memory and\nonly works for a single process. Any deployment with more than one instance must use the PostgreSQL store, so a part\nreceived by one instance can be joined with parts received by another:\n\n```typescript\nimport { createPostgresPathwayChunkStore, createPostgresPathwayState } from \"@flowcore/pathways\"\n\nconst pathways = new PathwaysBuilder({\n  baseUrl: \"https://webhook.api.flowcore.io\",\n  tenant: \"your-tenant\",\n  dataCore: \"your-data-core\",\n  apiKey: \"your-api-key\",\n  // Optional budgets. Defaults shown.\n  chunking: {\n    maxEventBytes: 64_000, // split when the wire payload is larger than this\n    partBudgetBytes: 45_000, // maximum serialized size of one part\n  },\n})\n  .withPathwayState(createPostgresPathwayState({ connectionString }))\n  .withPathwayChunkStore(\n    createPostgresPathwayChunkStore({\n      connectionString,\n      statePrefix: \"my_service\", // optional, see State Prefix\n      ttlMs: 60 * 60 * 1000, // optional, parts of an incomplete chunk expire after 1 hour\n      cleanupIntervalMs: 60 * 1000, // optional, expired parts are swept at most once per minute\n    }),\n  )\n```\n\nThe PostgreSQL store creates the `pathway_chunks` table on first use. Parts are collected under a per-chunk advisory\nlock, so exactly one instance reassembles a given event. An exact replay of a part is accepted. A part with the same\nnumber but different bytes is rejected as a conflict.\n\n#### Wire format\n\nEvery part is a normal Flowcore event on the same flow type and event type, with the metadata marker\n`pathways/chunked: \"true\"` and this payload:\n\n```json\n{\n  \"pathwaysChunk\": {\n    \"id\": \"8b6d1b0c-4a7e-4a6f-9d84-1f7a2b3c4d5e\",\n    \"part\": 2,\n    \"totalParts\": 3,\n    \"digest\": \"<sha256 hex of the full plaintext JSON>\",\n    \"scheme\": \"utf8-split-sha256-v1\"\n  },\n  \"data\": \"<slice of the JSON text, or its AES-256-GCM ciphertext on encrypted pathways>\"\n}\n```\n\nConsumers that read the raw events outside Pathways must join the `data` slices in `part` order. Consumers that run\nPathways get the original event.\n\n#### Limits\n\n- Chunking requires a chunk store. `chunking.enabled: false` keeps it off even when a store is configured.\n- Every consumer of a chunked pathway must run this library version with a chunk store. An older consumer, or one\n  without a store, cannot reassemble the parts.\n- The `eventTime` and `validTime` write options apply to every part of a batch. A key-based override (`eventTimeKey`)\n  cannot be resolved for a chunked or encrypted item, because the server reads the key from the wire payload, which does\n  not carry your fields.\n- Parts of a chunk that never completes stay in the store until `ttlMs` expires, then they are removed on the next\n  write.\n\n### Session Pathways\n\nThe `SessionPathwayBuilder` provides a way to associate session IDs with pathway operations, making it easier to track\nand manage user sessions in your application.\n\n#### Setting Up Session Support\n\nTo use session-specific functionality, first configure your `PathwaysBuilder` with session support:\n\n```typescript\nimport { PathwaysBuilder } from \"@flowcore/pathways\"\n\n// Configure the builder with session support\nconst pathways = new PathwaysBuilder({\n  baseUrl: \"https://api.flowcore.io\",\n  tenant: \"your-tenant\",\n  dataCore: \"your-data-core\",\n  apiKey: \"your-api-key\",\n  enableSessionUserResolvers: true, // Enable session-specific resolvers\n})\n```\n\n#### Creating Session Pathways\n\nCreate a session-specific pathway wrapper:\n\n```typescript\nimport { SessionPathwayBuilder } from \"@flowcore/pathways\"\n\n// Create a session with an auto-generated session ID\nconst session = new SessionPathwayBuilder(pathways)\nconst sessionId = session.getSessionId() // Get the auto-generated ID\n\n// Or create a session with a specific session ID\nconst customSession = new SessionPathwayBuilder(pathways, \"user-session-123\")\n```\n\n#### Session-Specific User Resolvers\n\nYou can register different user resolvers for different sessions, allowing you to associate users with specific\nsessions:\n\n```typescript\n// Register a user resolver for a specific session\npathways.withSessionUserResolver(\"user-session-123\", async () => {\n  // Return the user ID for this session\n  return {\n    entityId: \"user-456\",\n    entityType: \"user\",\n  }\n})\n\n// Alternative: Register directly through the session instance\nsession.withUserResolver(async () => {\n  return {\n    entityId: \"key-789\",\n    entityType: \"key\",\n  }\n})\n```\n\n#### Writing Events with Session Context\n\nEvents written through a session builder automatically include the session ID:\n\n```typescript\n// Write an event with session context\nawait session.write(\"order/placed\", {\n  data: {\n    orderId: \"ord-123\",\n    userId: \"user-456\",\n    total: 99.99,\n    items: [{ id: \"item-1\", quantity: 2 }],\n  },\n})\n\n// You can override the session ID for a specific write\nawait session.write(\"order/placed\", {\n  data: orderData,\n  options: { sessionId: \"different-session\" },\n})\n\n// Batch write events with session context\nawait session.write(\"user/actions\", {\n  batch: true,\n  data: [actionData1, actionData2, actionData3],\n})\n```\n\n#### Session ID in Audit Events\n\nWhen auditing is enabled, the session ID is included in the audit metadata:\n\n```typescript\n// Enable auditing\npathways.withAudit((path, event) => {\n  console.log(`Audit: ${path} event ${event.eventId}`)\n  // The session ID will be included in event metadata\n})\n\n// Now when writing events through a session\nawait session.write(\"order/placed\", { data: orderData })\n// The session ID is automatically included in the audit metadata\n```\n\n### File Pathways\n\nFile pathways provide a specialized way to handle file uploads and processing in your Flowcore applications. They\nautomatically handle file type detection, binary content processing, and provide a structured approach to file\nmanagement.\n\n#### Registering File Pathways\n\nRegister a file pathway by setting the `isFilePathway` flag to `true`:\n\n```typescript\nimport { z } from \"zod\"\n\n// Define additional properties schema for your file\nconst documentSchema = z.object({\n  documentType: z.enum([\"invoice\", \"receipt\", \"contract\"]),\n  department: z.string(),\n  metadata: z.record(z.string()).optional(),\n})\n\n// Register a file pathway\npathways.register({\n  flowType: \"document\",\n  eventType: \"uploaded\",\n  schema: documentSchema, // Additional properties beyond the file itself\n  isFilePathway: true, // This marks it as a file pathway\n  writable: true,\n})\n```\n\n#### Writing Files to Pathways\n\nFile pathways use a special input format that includes file content and metadata:\n\n```typescript\nimport { readFile } from \"node:fs/promises\"\n\n// Read file content (as Buffer for Node.js/Bun, Uint8Array for Deno)\nconst fileContent = await readFile(\"./invoice.pdf\")\n\n// Write a file to a pathway\nconst eventId = await pathways.write(\"document/uploaded\", {\n  data: {\n    fileId: \"file-123\", // Unique identifier for the file\n    fileName: \"invoice-2024.pdf\", // Original filename\n    fileContent: fileContent, // File content as Buffer/Uint8Array\n    // Additional properties defined in your schema\n    documentType: \"invoice\",\n    department: \"finance\",\n    metadata: {\n      customer: \"ACME Corp\",\n      amount: \"1500.00\",\n    },\n  },\n})\n```\n\n#### File Input Schema\n\nFile pathways automatically include these required fields:\n\n```typescript\n// Built-in file fields (automatically added)\ninterface FileInput {\n  fileId: string // Unique identifier for the file\n  fileName: string // Original filename with extension\n  fileContent: Buffer | Uint8Array // Binary file content\n  // ... your additional schema properties\n}\n```\n\n#### File Event Schema\n\nWhen processed, file events include automatic file type detection:\n\n```typescript\n// Built-in file event fields (automatically added to your schema)\ninterface FileEvent {\n  fileId: string // Unique identifier for the file\n  fileName: string // Original filename\n  fileType: string // MIME type (automatically detected)\n  fileContent: Blob // File content as Blob\n  // ... your additional schema properties\n}\n```\n\n#### Handling File Events\n\nHandle file events just like regular events, but with access to file-specific properties:\n\n```typescript\npathways.handle(\"document/uploaded\", async (event) => {\n  const { fileId, fileName, fileType, fileContent, documentType, department } = event.payload\n\n  console.log(`Processing file: ${fileName} (${fileType})`)\n  console.log(`Document type: ${documentType}, Department: ${department}`)\n\n  // Process the file content\n  if (fileType === \"application/pdf\") {\n    await processPDFDocument(fileContent, event.payload.metadata)\n  } else if (fileType.startsWith(\"image/\")) {\n    await processImageFile(fileContent, documentType)\n  }\n\n  // Store file metadata\n  await storeFileMetadata({\n    fileId,\n    fileName,\n    fileType,\n    documentType,\n    department,\n    processedAt: new Date(),\n  })\n})\n```\n\n#### File Pathway Limitations\n\nFile pathways have some specific limitations:\n\n```typescript\n// ❌ Batch writes are NOT supported for file pathways\n// This will throw an error:\nawait pathways.write(\"document/uploaded\", {\n  batch: true, // Error: Batch is not possible for file pathways\n  data: [fileData1, fileData2],\n})\n\n// ✅ Write files individually instead:\nfor (const fileData of fileDataArray) {\n  await pathways.write(\"document/uploaded\", { data: fileData })\n}\n```\n\n#### Complete File Pathway Example\n\nHere's a complete example of setting up and using file pathways:\n\n```typescript\nimport { PathwaysBuilder } from \"@flowcore/pathways\"\nimport { z } from \"zod\"\nimport { readFile } from \"node:fs/promises\"\n\n// Define schema for additional file properties\nconst documentSchema = z.object({\n  documentType: z.enum([\"invoice\", \"receipt\", \"contract\", \"report\"]),\n  department: z.string(),\n  tags: z.array(z.string()).optional(),\n  metadata: z.record(z.string()).optional(),\n})\n\nconst pathways = new PathwaysBuilder({\n  baseUrl: \"https://api.flowcore.io\",\n  tenant: \"your-tenant\",\n  dataCore: \"your-data-core\",\n  apiKey: \"your-api-key\",\n})\n\n// Register file pathway\npathways\n  .register({\n    flowType: \"document\",\n    eventType: \"uploaded\",\n    schema: documentSchema,\n    isFilePathway: true,\n  })\n  .handle(\"document/uploaded\", async (event) => {\n    const { fileId, fileName, fileType, documentType, department } = event.payload\n\n    console.log(`Processing ${documentType} from ${department}: ${fileName}`)\n\n    // File type-specific processing\n    switch (fileType) {\n      case \"application/pdf\":\n        await extractPDFText(event.payload.fileContent)\n        break\n      case \"image/jpeg\":\n      case \"image/png\":\n        await extractImageMetadata(event.payload.fileContent)\n        break\n      default:\n        console.log(`Unsupported file type: ${fileType}`)\n    }\n\n    // Trigger downstream processing\n    await pathways.write(\"document/processed\", {\n      data: {\n        fileId,\n        fileName,\n        documentType,\n        department,\n        processedAt: new Date().toISOString(),\n        status: \"completed\",\n      },\n    })\n  })\n\n// Upload a file\nasync function uploadDocument(filePath: string, documentType: string, department: string) {\n  const fileContent = await readFile(filePath)\n  const fileName = filePath.split(\"/\").pop() || \"unknown\"\n\n  return await pathways.write(\"document/uploaded\", {\n    data: {\n      fileId: `doc-${Date.now()}`,\n      fileName,\n      fileContent,\n      documentType,\n      department,\n      tags: [\"automated-upload\"],\n      metadata: {\n        uploadedAt: new Date().toISOString(),\n        source: \"api\",\n      },\n    },\n  })\n}\n\n// Usage\nawait uploadDocument(\"./invoice.pdf\", \"invoice\", \"finance\")\n```\n\n## API Reference\n\nFor a complete API reference, please see the [API documentation](https://jsr.io/@flowcore/pathways).\n","readmeFilename":"README.md"}