Iii Sdk Reference logo

Iii Sdk Reference

OrganizationPopular
iii-hq
iii-sdk-reference

Use when working with iii SDK APIs across Node.js, browser, Python, or Rust: package installation, worker initialization, function/trigger registration, invocation, channels, logging, OpenTelemetry, and language-specific caveats.

Overview

Publisheriii-hq
Repositoryiii
Skill nameiii-sdk-reference
Stars
18.8K
Forks
1.3K
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by iii-hq on GitHub. Read the source before you install it.

Installation

Install the Iii Sdk Reference AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/iii-hq/iii/tree/main/skills/iii-sdk-reference
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/iii-hq/iii.git /tmp/iii
mkdir -p .claude/skills
cp -r /tmp/iii/skills/iii-sdk-reference .claude/skills/iii-sdk-reference
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Iii Sdk Reference in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Iii Sdk Reference on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Iii Sdk Reference is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

SDK Reference

Use this skill for language-specific SDK details. Use iii-core-primitives for the common model and iii-error-handling for exception handling.

Install

bash
# TypeScript / Node.js
npm install iii-sdk

# Browser apps
npm install iii-browser-sdk

# Python
pip install iii-sdk

# Rust
cargo add iii-sdk

Choose the SDK

SDKPackageBest forImportant caveat
Node.jsiii-sdkServer-side TypeScript/JavaScript workersSupports custom headers, Logger, OpenTelemetry, HTTP-invoked functions
Browseriii-browser-sdkWeb apps and interactive UI callbacksConnect through the rbac-proxy worker's public port, never the engine port; keep secrets server-side
Pythoniii-sdkSync or async Python workersUse trigger_async inside async handlers
Rustiii-sdkHigh-performance tokio workersHandler error type should map into iii_sdk::Error

Logger/OpenTelemetry, HTTP request/response types, stream, queue, and worker-connection types live in the helpers package — @iii-dev/helpers (Node, with submodules like /observability and /http) or iii-helpers (Python iii_helpers.*, Rust iii_helpers::*) — installed alongside the SDK.

Common API Map

CapabilityNodePythonRust
Connect workerregisterWorker(url, options?)register_worker(address, options?)register_worker(url, InitOptions)
Register local functionregisterFunction(id, handler, options?)register_function(id, handler, **options)register_function("id", RegisterFunction::new(...))
Register triggerregisterTrigger({ type, function_id, config })register_trigger({...})register_trigger(RegisterTriggerInput { ... })
Invoke functiontrigger({ function_id, payload })trigger(request) / trigger_async(request)trigger(TriggerRequest)
Durable enqueueTriggerAction.Enqueue({ queue }){"type": "enqueue", "queue": name}TriggerAction::Enqueue { queue }
ChannelscreateChannel()create_channel() / create_channel_async()create_channel(None).await

Node.js

typescript
import { registerWorker } from "iii-sdk";
import { Logger } from "@iii-dev/helpers/observability";

const iii = registerWorker("ws://localhost:49134", {
  workerName: "node-worker",
  invocationTimeoutMs: 30000,
});

iii.registerFunction("users::lookup", async (input) => {
  new Logger().info("looking up user", { userId: input.userId });
  return { userId: input.userId, name: "Ada" };
});

Node supports custom WebSocket headers, Logger, OpenTelemetry options, HTTP-invoked function registration, trigger metadata, channels, and custom trigger types.

Browser

typescript
import { registerWorker, TriggerAction } from "iii-browser-sdk";

const iii = registerWorker("wss://api.example.com/worker?token=session-token");

const result = await iii.trigger({
  function_id: "backend::get-user",
  payload: { userId: "123" },
});

await iii.trigger({
  function_id: "analytics::track",
  payload: { event: "page_view" },
  action: TriggerAction.Void(),
});

Do not expose the private engine worker port to untrusted browsers; put the rbac-proxy worker in front of it (iii trigger compose::add worker=rbac-proxy). Browser workers cannot send custom WebSocket headers and must not hold backend secrets.

Python

python
from iii import InitOptions, register_worker
from iii_helpers.observability import Logger

iii = register_worker(
    address="ws://localhost:49134",
    options=InitOptions(worker_name="python-worker"),
)

def lookup_user(data):
    Logger().info("looking up user", {"userId": data["userId"]})
    return {"userId": data["userId"], "name": "Ada"}

iii.register_function("users::lookup", lookup_user)

Python handlers may be sync or async. Use await iii.trigger_async(request) inside async handlers, and iii.trigger(request) in sync contexts. HttpResponse (from iii_helpers.http) uses status_code, like the other helpers packages.

Rust

rust
use iii_sdk::{register_worker, InitOptions, RegisterFunction};
use serde_json::json;

let iii = register_worker("ws://127.0.0.1:49134", InitOptions::default());

iii.register_function(
    "users::lookup",
    RegisterFunction::new(|input: serde_json::Value| -> Result<serde_json::Value, iii_sdk::Error> {
        Ok(json!({ "userId": input["userId"], "name": "Ada" }))
    }).description("Look up a user"),
);

Rust supports typed handlers and schema extraction when input/output types derive schemars::JsonSchema. Add the otel feature when using OpenTelemetry helpers.

Channels

  • Use channels for binary data, large payloads, or streaming transfer between workers.
  • Pass readerRef or writerRef through a function payload.
  • Reconstruct readers/writers from refs in consumers when the SDK requires it.

Namespaces

A worker belongs to one namespace: options.namespace (InitOptions.namespace) → the III_NAMESPACE environment variable → the engine's default. Compose sets III_NAMESPACE to its daemon's namespace (iii compose -n dev ...) for every worker it starts, so a whole project lands in one namespace without any code change. Routing is strict: a function is only reachable in the namespace it registered in.

  • iii.trigger({ function_id }) resolves in the calling worker's namespace. Calls to your own functions and to other workers declared in the same worker-compose.yaml need no namespace.
  • Engine-owned functions register in default: engine::*, configuration::*, and stream::* (from iii-stream). engine::* resolves there implicitly; for the others pass namespace: "default" on the call when your worker runs in a Compose namespace.
  • registerTrigger binds in the worker's namespace. Leave trigger_namespace unset; the engine looks for the trigger type's provider in your namespace first and the engine's own second, which is what lets a project ship its own http provider or fall back to the engine's cron.
  • Never prefix a function id with a namespace. The id stays orders::validate; the namespace is a separate field.
  • From the CLI, iii trigger -n dev orders::validate ... selects the namespace; omitting -n resolves in default.
typescript
// Same-project worker: no namespace
await iii.trigger({ function_id: "orders::validate", payload: order });

// Engine-owned configuration worker from a namespaced project
const cfg = await iii.trigger({
  function_id: "configuration::get",
  namespace: "default",
  payload: { id: "orders" },
});
python
cfg = await iii.trigger_async(
    {"function_id": "configuration::get", "namespace": "default", "payload": {"id": "orders"}}
)
rust
let cfg = iii.trigger(TriggerRequest {
    function_id: "configuration::get".into(),
    namespace: Some("default".into()),
    payload: json!({ "id": "orders" }),
    ..Default::default()
}).await?;

When to Use

  • Use this skill for package names, SDK exports, initialization options, browser security constraints, channel API details, and language-specific syntax.
  • Use this when a task asks for Python or Rust examples and the issue is SDK syntax rather than iii architecture.

Boundaries

  • For the common Function/Trigger/Worker model, built-in trigger schemas, custom triggers, and invocation mode decisions, use iii-core-primitives.
  • For deployment config, engine-owned workers, RBAC (rbac-proxy), and ports, use iii-engine-config.
  • For retryability and exception classes, use iii-error-handling.

Frequently asked questions

What does the Iii Sdk Reference AI skill do?

Use when working with iii SDK APIs across Node.js, browser, Python, or Rust: package installation, worker initialization, function/trigger registration, invocation, channels, logging, OpenTelemetry, and language-specific caveats.

Why use Iii Sdk Reference on TypingMind?

Because you install it once and use it with any model. Iii Sdk Reference is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Iii Sdk Reference in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/iii-hq/iii/tree/main/skills/iii-sdk-reference. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Iii Sdk Reference?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Iii Sdk Reference?

As many as you like. As long as a model supports skills, you can use Iii Sdk Reference with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Iii Sdk Reference AI skill free?

It is published on GitHub by iii-hq. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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