Use Channels

Goal

Stream binary data between functions that may run in different worker processes. Channels give you Node.js-style readable and writable streams backed by WebSocket connections through the engine, so you can move large payloads incrementally instead of cramming everything into a single JSON message.

What Are Channels

Channels are a streaming primitive built into the iii engine. They let one function write data while another function reads it — in real time, across process and language boundaries. Every channel has two ends:

A writer — exposes a Writable stream for sending binary data.
A reader — exposes a Readable stream for receiving binary data.

Each end also has a ref — a small, JSON-serializable token (StreamChannelRef) that you embed inside a trigger() payload. When the receiving function deserializes the ref, the SDK automatically connects it to the engine and materializes a live ChannelWriter or ChannelReader. Function A creates a channel, sends readerRef to Function B through a normal trigger() call, then writes chunks to the writer stream. The engine pipes each chunk over WebSocket to Function B’s reader stream. When A ends the writer, B’s reader emits end.

For internal details on the WebSocket framing, backpressure handling, and lazy connection behavior, see the Channels architecture reference.

Why Channels Are Necessary

Function invocations in iii pass data as JSON messages. This works for structured payloads, but falls apart when you need to:

Transfer large binary data — files, images, PDFs, datasets. Serializing a 100 MB file as a JSON field is impractical and blows up memory.
Stream data incrementally — progress updates, partial results, or data that is produced over time. JSON messages are all-or-nothing.
Stream HTTP responses — serving file downloads, SSE streams, or chunked responses to HTTP clients requires writing data progressively to the response body.
Pipeline processing — chaining producer and consumer functions where the consumer starts processing before the producer finishes.

Channels solve all of these by giving each side a real stream backed by the engine’s WebSocket infrastructure.

When to Use Channels

Scenario	Use channels?	Why
Serving a file download from an HTTP endpoint	Yes	Stream the file to the HTTP response without buffering the entire file in memory
Processing a large CSV upload	Yes	Read the uploaded body as a stream and parse rows incrementally
Sending progress updates during a long-running task	Yes	Use `sendMessage()` on the writer for text-based progress alongside binary data
Piping data between a producer and consumer function	Yes	The consumer can start working before the producer finishes
Returning a small JSON result from a function	No	A regular `trigger()` return value is simpler and sufficient
Passing a config object to another function	No	Put it in the `trigger()` payload directly
Fire-and-forget notifications	No	Use `TriggerAction.Void()` or a queue instead

Rule of thumb: if your data is small enough to fit comfortably in a JSON payload (< 1 MB) and you don’t need incremental delivery, use a regular trigger() call. Use channels when you need streaming, binary data, or when the payload is too large to serialize at once.

Steps

Create a channel

Call createChannel() on the SDK instance. This returns a channel object containing both local stream objects and their serializable refs.

Node / TypeScript
Python
Rust

const channel = await iii.createChannel()

// channel.writer    — ChannelWriter (local writable stream)
// channel.reader    — ChannelReader (local readable stream)
// channel.writerRef — StreamChannelRef (serializable, pass to another function)
// channel.readerRef — StreamChannelRef (serializable, pass to another function)

channel = iii_client.create_channel()

# channel.writer      — ChannelWriter (local writable stream)
# channel.reader      — ChannelReader (local readable stream)
# channel.writer_ref  — StreamChannelRef (serializable)
# channel.reader_ref  — StreamChannelRef (serializable)

let channel = iii.create_channel(None).await?;

// channel.writer      — ChannelWriter
// channel.reader      — ChannelReader
// channel.writer_ref  — StreamChannelRef (serializable)
// channel.reader_ref  — StreamChannelRef (serializable)

Creating a channel is cheap — the WebSocket connection is established lazily on first read or write.

Pass the ref to another function

Embed a ref (either readerRef or writerRef) inside the trigger() payload. The SDK on the receiving side automatically materializes it into a live ChannelReader or ChannelWriter.

Node / TypeScript
Python
Rust

const result = await iii.trigger({
  function_id: 'files::process',
  payload: { filename: 'report.csv', reader: channel.readerRef },
})

result = iii_client.trigger({
    "function_id": "files::process",
    "payload": {
        "filename": "report.csv",
        "reader": channel.reader_ref.model_dump(),
    },
})

let result = iii.trigger(TriggerRequest::new("files::process", json!({
    "filename": "report.csv",
    "reader": channel.reader_ref,
}))).await?;

The ref is a plain JSON object with three fields — channel_id, access_key, and direction — so it survives serialization across languages and processes.

Write data to the channel

Use the writer’s stream to send binary data. Data is automatically chunked into 64 KB frames over the WebSocket.

Node / TypeScript
Python
Rust

channel.writer.stream.write(Buffer.from('first chunk'))
channel.writer.stream.write(Buffer.from('second chunk'))
channel.writer.stream.end() // signals completion

channel.writer.write(b"first chunk")
channel.writer.write(b"second chunk")
channel.writer.close()  # signals completion

channel.writer.write(b"first chunk").await?;
channel.writer.write(b"second chunk").await?;
channel.writer.close().await?; // signals completion

Read data from the channel

On the receiving side, iterate over the reader stream to consume chunks as they arrive.

Node / TypeScript
Python
Rust

const chunks: Buffer[] = []
for await (const chunk of input.reader.stream) {
  chunks.push(Buffer.isBuffer(chunk) ? chunk : Buffer.from(chunk))
}
const data = Buffer.concat(chunks)

chunks = []
async for chunk in input_data["reader"]:
    chunks.append(chunk)
data = b"".join(chunks)

let data = reader.read_all().await?;

Real-World Examples

Example 1: File Download via HTTP Endpoint

A common use case is serving file downloads from an HTTP endpoint. The http() helper gives you a response object with a writable stream — pipe data directly to it without buffering the entire file in memory.

Node / TypeScript
Python

import { registerWorker, http } from 'iii-sdk'
import type { HttpRequest, HttpResponse } from 'iii-sdk'
import * as fs from 'node:fs'
import { pipeline } from 'node:stream/promises'

const iii = registerWorker(process.env.III_URL ?? 'ws://localhost:49134')

iii.registerFunction(
  { id: 'files::download' },
  http(async (req: HttpRequest, res: HttpResponse) => {
    const filePath = `/data/reports/${req.path_params.filename}`

    res.status(200)
    res.headers({
      'content-type': 'application/octet-stream',
      'content-disposition': `attachment; filename="${req.path_params.filename}"`,
    })

    await pipeline(fs.createReadStream(filePath), res.stream)
  }),
)

iii.registerTrigger({
  type: 'http',
  function_id: 'files::download',
  config: { api_path: 'files/:filename', http_method: 'GET' },
})

import os
from iii import register_worker
from iii.utils import http
from iii.types import HttpRequest, HttpResponse

iii = register_worker(os.environ.get("III_URL", "ws://localhost:49134"))


@http
async def download_file(req: HttpRequest, response: HttpResponse):
    filename = req.path_params.get("filename")
    file_path = f"/data/reports/{filename}"

    with open(file_path, "rb") as f:
        await response.status(200)
        await response.headers({"content-type": "application/pdf"})
        await response.writer.write(f.read())
        await response.writer.close_async()

iii.register_function({"id": "files::download"}, download_file)

iii.register_trigger({
    "type": "http",
    "function_id": "files::download",
    "config": {"api_path": "files/:filename", "http_method": "GET"},
})

The http() wrapper in Node/TypeScript gives you direct access to the underlying channel writer as res.stream, so the file streams byte-by-byte from disk to the HTTP client without ever being fully buffered in memory.

curl -O http://localhost:3111/files/quarterly-report.pdf

Example 2: Server-Sent Events (SSE) Streaming

Channels power SSE endpoints where you push events to the client over time. Write each SSE frame to the response stream and the client receives them as they arrive.

Node / TypeScript

import { registerWorker, http } from 'iii-sdk'
import type { HttpRequest, HttpResponse } from 'iii-sdk'

const iii = registerWorker(process.env.III_URL ?? 'ws://localhost:49134')

iii.registerFunction(
  { id: 'events::stream' },
  http(async (_req: HttpRequest, res: HttpResponse) => {
    res.status(200)
    res.headers({
      'content-type': 'text/event-stream',
      'cache-control': 'no-cache',
      'connection': 'keep-alive',
    })

    for (let i = 1; i <= 5; i++) {
      const frame = `id: ${i}\nevent: progress\ndata: ${JSON.stringify({ step: i, total: 5 })}\n\n`
      res.stream.write(Buffer.from(frame))
      await new Promise((r) => setTimeout(r, 1000))
    }

    const done = `id: 6\nevent: done\ndata: ${JSON.stringify({ message: 'complete' })}\n\n`
    res.stream.write(Buffer.from(done))
    res.stream.end()
  }),
)

iii.registerTrigger({
  type: 'http',
  function_id: 'events::stream',
  config: { api_path: 'events/stream', http_method: 'GET' },
})

The client connects and receives events as they’re written:

curl -N http://localhost:3111/events/stream
# id: 1
# event: progress
# data: {"step":1,"total":5}
#
# id: 2
# event: progress
# data: {"step":2,"total":5}
# ...

Example 3: Streaming Data Between Functions

When one function produces data and another processes it, channels let the consumer start working before the producer finishes. This is the classic pipeline pattern.

Node / TypeScript
Python
Rust

import { registerWorker } from 'iii-sdk'
import type { ChannelReader } from 'iii-sdk'

const iii = registerWorker(process.env.III_URL ?? 'ws://localhost:49134')

iii.registerFunction(
  { id: 'pipeline::consumer' },
  async (input: { label: string; reader: ChannelReader }) => {
    const chunks: Buffer[] = []
    for await (const chunk of input.reader.stream) {
      chunks.push(Buffer.isBuffer(chunk) ? chunk : Buffer.from(chunk))
    }

    const records = JSON.parse(Buffer.concat(chunks).toString('utf-8'))
    const total = records.reduce((sum: number, r: { value: number }) => sum + r.value, 0)

    return { label: input.label, count: records.length, total }
  },
)

iii.registerFunction(
  { id: 'pipeline::producer' },
  async (input: { records: { name: string; value: number }[] }) => {
    const channel = await iii.createChannel()

    const writePromise = new Promise<void>((resolve, reject) => {
      channel.writer.stream.end(
        Buffer.from(JSON.stringify(input.records)),
        (err?: Error | null) => (err ? reject(err) : resolve()),
      )
    })

    const result = await iii.trigger({
      function_id: 'pipeline::consumer',
      payload: { label: 'batch-001', reader: channel.readerRef },
    })

    await writePromise
    return result
  },
)

import json
from iii import register_worker
from iii.channels import ChannelReader

iii_client = register_worker("ws://localhost:49134")


def consumer_handler(input_data):
    reader: ChannelReader = input_data["reader"]
    raw = reader.read_all()
    records = json.loads(raw.decode("utf-8"))
    total = sum(r["value"] for r in records)

    return {
        "label": input_data["label"],
        "count": len(records),
        "total": total,
    }


def producer_handler(input_data):
    records = input_data["records"]
    channel = iii_client.create_channel()

    payload = json.dumps(records).encode("utf-8")
    channel.writer.write(payload)
    channel.writer.close()

    result = iii_client.trigger({
        "function_id": "pipeline::consumer",
        "payload": {
            "label": "batch-001",
            "reader": channel.reader_ref.model_dump(),
        },
    })

    return result


iii_client.register_function({"id": "pipeline::consumer"}, consumer_handler)
iii_client.register_function({"id": "pipeline::producer"}, producer_handler)

use iii_sdk::{III, IIIError, ChannelReader, extract_channel_refs, ChannelDirection, RegisterFunctionMessage, TriggerRequest};
use serde_json::{json, Value};

let iii_for_consumer = iii.clone();
iii.register_function(RegisterFunctionMessage { id: "pipeline::consumer".into(), description: None, request_format: None, response_format: None, metadata: None, invocation: None }, move |input: Value| {
    let iii = iii_for_consumer.clone();
    async move {
        let label = input["label"].as_str().unwrap_or_default().to_string();
        let refs = extract_channel_refs(&input);
        let reader_ref = refs.iter()
            .find(|(k, r)| k == "reader" && matches!(r.direction, ChannelDirection::Read))
            .map(|(_, r)| r.clone())
            .expect("missing reader channel ref");

        let reader = ChannelReader::new(iii.address(), &reader_ref);
        let raw = reader.read_all().await
            .map_err(|e| IIIError::Handler(e.to_string()))?;
        let records: Vec<Value> = serde_json::from_slice(&raw)
            .map_err(|e| IIIError::Handler(e.to_string()))?;

        let total: f64 = records.iter()
            .filter_map(|r| r["value"].as_f64())
            .sum();

        Ok(json!({ "label": label, "count": records.len(), "total": total }))
    }
});

let iii_for_producer = iii.clone();
iii.register_function(RegisterFunctionMessage { id: "pipeline::producer".into(), description: None, request_format: None, response_format: None, metadata: None, invocation: None }, move |input: Value| {
    let iii = iii_for_producer.clone();
    async move {
        let records = input["records"].clone();
        let channel = iii.create_channel(None).await
            .map_err(|e| IIIError::Handler(e.to_string()))?;

        let payload = serde_json::to_vec(&records)
            .map_err(|e| IIIError::Handler(e.to_string()))?;
        channel.writer.write(&payload).await
            .map_err(|e| IIIError::Handler(e.to_string()))?;
        channel.writer.close().await
            .map_err(|e| IIIError::Handler(e.to_string()))?;

        let result = iii.trigger(TriggerRequest {
            function_id: "pipeline::consumer".to_string(),
            payload: json!({
                "label": "batch-001",
                "reader": channel.reader_ref,
            }),
            action: None,
            timeout_ms: Some(30000),
        }).await.map_err(|e| IIIError::Handler(e.to_string()))?;

        Ok(result)
    }
});

Example 4: Bidirectional Streaming with Progress

When two functions need to exchange data in both directions, create two channels. The writer’s sendMessage() method provides a side-channel for text-based progress or metadata that doesn’t mix with the binary stream.

Node / TypeScript

import { registerWorker } from 'iii-sdk'
import type { ChannelReader, ChannelWriter } from 'iii-sdk'

const iii = registerWorker(process.env.III_URL ?? 'ws://localhost:49134')

iii.registerFunction(
  { id: 'transform::worker' },
  async (input: { reader: ChannelReader; writer: ChannelWriter }) => {
    const chunks: Buffer[] = []
    let count = 0

    for await (const chunk of input.reader.stream) {
      chunks.push(Buffer.isBuffer(chunk) ? chunk : Buffer.from(chunk))
      count++
      input.writer.sendMessage(JSON.stringify({ type: 'progress', chunks: count }))
    }

    const result = Buffer.concat(chunks).toString('utf-8').toUpperCase()
    input.writer.stream.end(Buffer.from(result))

    return { status: 'done' }
  },
)

iii.registerFunction(
  { id: 'transform::coordinator' },
  async (input: { text: string }) => {
    const inputChannel = await iii.createChannel()
    const outputChannel = await iii.createChannel()

    const progress: unknown[] = []
    outputChannel.reader.onMessage((msg) => progress.push(JSON.parse(msg)))

    inputChannel.writer.stream.end(Buffer.from(input.text))

    const triggerPromise = iii.trigger({
      function_id: 'transform::worker',
      payload: {
        reader: inputChannel.readerRef,
        writer: outputChannel.writerRef,
      },
    })

    const resultChunks: Buffer[] = []
    for await (const chunk of outputChannel.reader.stream) {
      resultChunks.push(Buffer.isBuffer(chunk) ? chunk : Buffer.from(chunk))
    }

    await triggerPromise
    return {
      result: Buffer.concat(resultChunks).toString('utf-8'),
      progress,
    }
  },
)

The coordinator creates two channels — one for input, one for output. The worker reads input, sends progress updates via sendMessage(), and writes the transformed result to the output channel. The coordinator collects both progress messages and the binary result.

API Quick Reference

`createChannel()`

Returns an object with four properties:

Property	Type	Description
`writer`	`ChannelWriter`	Local writable stream for sending data
`reader`	`ChannelReader`	Local readable stream for receiving data
`writerRef`	`StreamChannelRef`	Serializable token — pass to another function so it can write
`readerRef`	`StreamChannelRef`	Serializable token — pass to another function so it can read

`ChannelWriter`

Capability	Node / TypeScript	Python	Rust
Write binary data	`writer.stream.write(data)`	`writer.write(data)`	`writer.write(&data).await`
Send text message	`writer.sendMessage(msg)`	`writer.send_message(msg)`	`writer.send_message(&msg).await`
Close	`writer.stream.end()`	`writer.close()`	`writer.close().await`

`ChannelReader`

Capability	Node / TypeScript	Python	Rust
Read as stream	`for await (const chunk of reader.stream)`	`async for chunk in reader`	`reader.next_binary().await`
Read all at once	Collect chunks manually	`reader.read_all()`	`reader.read_all().await`
Listen for text messages	`reader.onMessage(callback)`	`reader.on_message(callback)`	`reader.on_message(callback).await`

`StreamChannelRef`

A plain JSON object that survives serialization:

type StreamChannelRef = {
  channel_id: string
  access_key: string
  direction: 'read' | 'write'
}

Common Pitfalls

If you forget to call writer.stream.end() (or writer.close() in Python/Rust), the reader will hang waiting for more data. Always end the writer when you’re done.

Only pass readerRef or writerRef (the serializable tokens) inside trigger() payloads. The local reader and writer objects are not serializable and cannot cross process boundaries.

If you write data faster than the reader consumes it, backpressure is handled automatically — the WebSocket pauses when the buffer is full. In Node.js, respect the false return from writer.stream.write() and wait for the drain event before writing more.

Getting Started

Primitives & Concepts

How-to Guides

Architecture

Modules

Console

Advanced

Examples

Use Channels

Goal

What Are Channels

Why Channels Are Necessary

When to Use Channels

Steps

Real-World Examples

Example 1: File Download via HTTP Endpoint

Example 2: Server-Sent Events (SSE) Streaming

Example 3: Streaming Data Between Functions

Example 4: Bidirectional Streaming with Progress

API Quick Reference

`createChannel()`

`ChannelWriter`

`ChannelReader`

`StreamChannelRef`

Common Pitfalls

Next Steps

Channels Architecture

Expose an HTTP Endpoint

Use Functions & Triggers

Stream Real-Time Data

Getting Started

Primitives & Concepts

How-to Guides

Architecture

Modules

Console

Advanced

Examples

​Goal

​What Are Channels

​Why Channels Are Necessary

​When to Use Channels

​Steps

​Real-World Examples

​Example 1: File Download via HTTP Endpoint

​Example 2: Server-Sent Events (SSE) Streaming

​Example 3: Streaming Data Between Functions

​Example 4: Bidirectional Streaming with Progress

​API Quick Reference

​createChannel()

​ChannelWriter

​ChannelReader

​StreamChannelRef

​Common Pitfalls

​Next Steps

Channels Architecture

Expose an HTTP Endpoint

Use Functions & Triggers

Stream Real-Time Data

Goal

What Are Channels

Why Channels Are Necessary

When to Use Channels

Steps

Real-World Examples

Example 1: File Download via HTTP Endpoint

Example 2: Server-Sent Events (SSE) Streaming

Example 3: Streaming Data Between Functions

Example 4: Bidirectional Streaming with Progress

API Quick Reference

`createChannel()`

`ChannelWriter`

`ChannelReader`

`StreamChannelRef`

Common Pitfalls

Next Steps