Extension API Reference - EnConvo Documentation

Overview

The @enconvo/api SDK provides the full API surface for building EnConvo extensions. Extensions run as isolated Worker threads communicating with the native macOS app over a Unix Domain Socket using JSON-RPC.

All imports in this reference come from @enconvo/api unless otherwise noted. The SDK is linked locally from enconvo.nodejs/enconvo_api/ during development.

Commander API

The Commander namespace handles all communication between extension Worker threads and the EnConvo host process.

Commander.addClickListener

Registers the main entry point handler for a command. This is the primary way to define what happens when a command is invoked.

import { Commander } from "@enconvo/api";

Commander.addClickListener(async (req: Request) => {
  const options = await req.json();
  // Process the request
  return EnconvoResponse.text("Hello from my extension!");
});

The req parameter is a standard Request object. Use req.json() to access the merged command configuration and user-provided parameters.

Commander.send

Fire-and-forget message to the native macOS app. Returns a Promise that resolves when the host acknowledges.

// Send a custom method with payloads
await Commander.send("responseStream", {
  type: "messages",
  messages: [message]
});

Commander.sendRequest

Request/response communication with the native app. Returns a Promise resolved when the host sends back a matching response.

const result = await Commander.sendRequest({
  method: "getSelectedText",
  payloads: {},
  extensionName: "enconvo",
  commandName: "get_selected_text"
});

Commander.sendAsync

Non-blocking fire-and-forget message. Does not wait for acknowledgment.

Commander.sendAsync("responseStream", { type: "text", content: "partial result" });

Request Object

When Commander.addClickListener fires, you receive a standard Request. The body contains RequestOptions — a merged object of command configuration, user preferences, and runtime parameters.

Commander.addClickListener(async (req: Request) => {
  const options: RequestOptions = await req.json();

  // Common fields
  options.input_text;          // User input text
  options.commandType;         // "agent" | "chat" | "tool" | "provider" | etc.
  options.commandName;         // Current command name
  options.extensionName;       // Current extension name
  options.messages;            // Conversation history (for chat/agent)
  options.context;             // Context data (screen, clipboard, browser)
  options.tools;               // Available tools (for agent mode)
  options.system_prompt;       // System prompt
  options.temperature;         // LLM temperature
  options.max_tokens;          // Max token limit

  // All preference values are accessible by their name
  options.my_custom_preference; // Value of preference named "my_custom_preference"
});

EnconvoResponse

The return type for command handlers. Multiple factory methods create different response types.

EnconvoResponse.text

Returns a simple text response displayed as a chat message.

return EnconvoResponse.text("Here is your result");

EnconvoResponse.messages

Returns one or more structured chat messages with rich content.

import { BaseChatMessage, ChatMessageContent } from "@enconvo/api";

return EnconvoResponse.messages([
  BaseChatMessage.assistant([
    ChatMessageContent.text("Here is the analysis:"),
    ChatMessageContent.image({ url: "https://example.com/chart.png" })
  ])
]);

EnconvoResponse.json

Returns a JSON object as a text response (serialized).

return EnconvoResponse.json({ status: "ok", count: 42 });

EnconvoResponse.none

Returns nothing — useful for commands that produce side effects only.

await Clipboard.copy("copied text");
return EnconvoResponse.none();

EnconvoResponse.error

Returns an error message displayed to the user.

return EnconvoResponse.error("API key is missing", 401);

Returning a string

You can also return a plain string, which is automatically wrapped as a text response.

Commander.addClickListener(async (req: Request) => {
  return "Simple text response";
});

NativeAPI

The NativeAPI namespace provides typed methods for calling native macOS operations and invoking other extension commands.

NativeAPI.callCommand

Invoke any other extension command programmatically.

import { NativeAPI } from "@enconvo/api";

// Call Gmail to send an email
const result = await NativeAPI.callCommand("gmail|send_email", {
  to: "user@example.com",
  subject: "Hello",
  body: "Message content"
});

NativeAPI.request / NativeAPI.api

Call extension API routes (files in src/api/).

// Call an API endpoint
const response = await NativeAPI.request("knowledge_base/search", {
  query: "machine learning",
  limit: 10
});

NativeAPI.localApi

Call the local HTTP server API endpoint directly.

const response = await NativeAPI.localApi("enconvo/cache", {
  action: "get",
  key: "my_cache_key"
});

Clipboard

Read and write clipboard content, paste into the active application, or insert text below the cursor.

import { Clipboard } from "@enconvo/api";

// Copy text to clipboard
await Clipboard.copy("text to copy");

// Paste text into the frontmost application
await Clipboard.paste("text to paste");

// Insert text below the current cursor position
await Clipboard.insertBelow("text below cursor");

// Read current clipboard content
const content = await Clipboard.read();

Toast & HUD

Display notifications and heads-up messages.

import { showToast, showHUD } from "@enconvo/api";

// Show a toast notification
await showToast({ title: "Success", message: "File saved" });

// Show a brief HUD message overlay
await showHUD("Operation complete");

SmartBar & Window

Control the SmartBar and window display modes.

import { SmartBar } from "@enconvo/api";

// Close the SmartBar
await SmartBar.close();

environment

The environment object exposes runtime context about the current command execution.

import { environment } from "@enconvo/api";

environment.extensionName;       // Current extension name
environment.commandName;         // Current command name
environment.commandTitle;        // Display title of the command
environment.assetsPath;          // Path to extension's assets/ directory
environment.supportPath;         // Per-extension support directory
environment.rootSupportPath;     // Root support directory
environment.cachePath;           // Cache directory
environment.isDevelopment;       // true if running in dev mode
environment.appearance;          // "light" | "dark"
environment.textSize;            // "medium" | "large"
environment.chatConversationId;  // Current conversation ID
environment.chatSessionId;       // Current session ID
environment.enconvoVersion;      // EnConvo app version
environment.runType;             // "command" | "api" | "flow"
environment.flowId;              // Workflow ID (if running in a workflow)

KV (Key-Value Storage)

Persistent key-value storage for extension data. Values persist across command invocations.

import { KV } from "@enconvo/api";

// String operations
await KV.set("last_query", "machine learning");
const query = await KV.get("last_query", "default_value");

// Number operations
await KV.setNumber("run_count", 42);
const count = await KV.getNumber("run_count", 0);

// Boolean operations
await KV.setBool("feature_enabled", true);
const enabled = await KV.getBool("feature_enabled");

Stream

The Stream class provides utilities for working with streaming responses, particularly SSE (Server-Sent Events) from LLM APIs.

Stream.fromSSEResponse

Parse an SSE response into an async iterable of typed objects.

import { Stream } from "@enconvo/api";

const response = await fetch("https://api.openai.com/v1/chat/completions", {
  method: "POST",
  body: JSON.stringify({ stream: true, /* ... */ })
});

const controller = new AbortController();
const stream = Stream.fromSSEResponse<ChatCompletionChunk>(response, controller);

for await (const chunk of stream) {
  // Process each SSE chunk
  console.log(chunk.choices[0].delta.content);
}

Stream.fromReadableStream

Parse a newline-delimited JSON ReadableStream into typed objects.

const stream = Stream.fromReadableStream<MyItem>(readableStream, controller);

for await (const item of stream) {
  // Process each JSON item
}

Stream.tee

Split a stream into two independent streams that can be read at different speeds.

const [stream1, stream2] = stream.tee();

Stream.toReadableStream

Convert back to a ReadableStream of newline-delimited JSON.

const readable = stream.toReadableStream();

res (Response Streaming)

The res namespace provides methods for streaming partial results back to the UI during command execution.

res.write

Stream content incrementally to the chat UI.

import { res, BaseChatMessage, ChatMessageContent } from "@enconvo/api";

// Stream text content
await res.write({
  content: "Partial result...",
  action: EnconvoResponse.WriteAction.AppendToLastMessageLastTextContent
});

// Stream a structured message
await res.write({
  content: new AssistantMessage([ChatMessageContent.text("Updated content")]),
  action: EnconvoResponse.WriteAction.OverwriteLastMessage
});

res.writeLoading

Display a loading indicator in the chat UI.

await res.writeLoading("Analyzing document...");

Write Actions

Control how streamed content updates the UI:

Action	Behavior
`AppendToLastMessageLastTextContent`	Append text to the last message’s text content
`OverwriteLastMessage`	Replace the entire last message
`OverwriteLastMessageAllContent`	Replace all content in the last message
`AppendToLastMessageContent`	Append a new content block to the last message
`AppendMessage`	Add a new message to the conversation

LLMProvider Base Class

The abstract base class for implementing LLM provider extensions.

import { LLMProvider, Stream, BaseChatMessage, BaseChatMessageChunk } from "@enconvo/api";

class MyLLMProvider extends LLMProvider {
  constructor(options: LLMProvider.LLMOptions) {
    super(options);
  }

  // Required: non-streaming completion
  protected async _call(params: LLMProvider.ResolvedParams): Promise<BaseChatMessage> {
    const response = await myApiCall(params.messages, {
      model: this.options.model,
      temperature: this.options.temperature
    });
    return BaseChatMessage.assistant([
      ChatMessageContent.text(response.content)
    ]);
  }

  // Required: streaming completion
  protected async _stream(params: LLMProvider.ResolvedParams): Promise<Stream<BaseChatMessageChunk>> {
    const response = await myStreamingApiCall(params.messages, {
      model: this.options.model,
      stream: true
    });
    return Stream.fromSSEResponse(response, new AbortController());
  }
}

// Entry point
export default function main(options: LLMProvider.LLMOptions) {
  return new MyLLMProvider(options);
}

LLMProvider.LLMOptions

Key options available on this.options:

Field	Type	Description
`model`	`string`	Selected model identifier
`temperature`	`number`	Sampling temperature (0-2)
`max_tokens`	`number`	Maximum tokens to generate
`top_p`	`number`	Top-p sampling parameter
`tools`	`AITool[]`	Available tools for function calling
`messages`	`BaseChatMessageLike[]`	Conversation history

TTSProvider Base Class

The abstract base class for implementing TTS provider extensions.

import { TTSProvider } from "@enconvo/api";

class MyTTSProvider extends TTSProvider {
  constructor(options: TTSProvider.TTSOptions) {
    super({ options });
  }

  // Required: convert text to audio file
  protected async _toFile(params: TTSProvider._ToFileTTSParams): Promise<TTSProvider.TTSItem> {
    const audioBuffer = await myTTSApi(params.text, {
      voice: this.options.voice?.value,
      speed: this.options.speed?.value
    });

    const filePath = `${params.outputDir}/${params.audioFileName}.mp3`;
    fs.writeFileSync(filePath, audioBuffer);

    return { audioFilePath: filePath };
  }
}

export default function main(options: TTSProvider.TTSOptions) {
  return new MyTTSProvider(options);
}

ServiceProvider.load

Load and instantiate any provider extension dynamically.

import { ServiceProvider } from "@enconvo/api";

// Load an LLM provider
const llm = ServiceProvider.load<LLMProvider>(options);

// Load a TTS provider
const tts = ServiceProvider.load<TTSProvider>(options);

The options object must include extensionName and commandName identifying the provider to load. Provider instances are cached by their options hash for reuse.

Extension & Command Management

Utilities for working with extension metadata and configuration.

import { CommandManageUtils, ExtensionManageUtils, PreferenceManageUtils } from "@enconvo/api";

// Load a command's full configuration
const config = await CommandManageUtils.loadCommandConfig({
  commandKey: "gmail|send_email",
  useAsRunParams: true
});

// Get raw command info (synchronous)
const rawCmd = CommandManageUtils.getRawCommandInfo("llm|open_ai");

NativeEventUtils

Send and listen for events across extensions and the native app.

import { NativeEventUtils } from "@enconvo/api";

// Send a custom event
await NativeEventUtils.sendEvent("my_custom_event", {
  key: "value"
});

Events sent through this system can be hooked by the user via ~/.config/enconvo/hooks.json.

Action

Response actions displayed as buttons below chat messages.

import { Action } from "@enconvo/api";

return EnconvoResponse.messages(
  [BaseChatMessage.assistant([ChatMessageContent.text("Done!")])],
  [
    Action.OpenLink({ url: "https://example.com", title: "Open Website" }),
    Action.OpenConfig({ page: "key_management", title: "Configure Keys" }),
    Action.Retry({ chatConversationId: environment.chatConversationId })
  ]
);

src/api/ Auto-Discovery

Files placed in src/api/ are automatically discovered and registered as API routes during build. No package.json entry is needed.

Single File Route

src/api/status.ts  →  extensionName/status

// src/api/status.ts
export default async function main(request: Request) {
  return Response.json({ status: "ok", uptime: process.uptime() });
}

Directory Route

src/api/users/          →  extensionName/users (auto-generated router)
src/api/users/list.ts   →  extensionName/users/list
src/api/users/create.ts →  extensionName/users/create

// src/api/users/list.ts
interface ListParams {
  /** Maximum number of users to return @default 20 */
  limit: number;
  /** Page offset @required */
  offset: number;
}

export default async function main(request: Request) {
  const params = await request.json() as ListParams;
  // The interface is parsed for automatic schema generation
  return Response.json({ users: [], total: 0 });
}

JSDoc Annotations

Annotation	Effect
`@private` on export	Hides from generated API docs and schemas
`@required` on interface field	Marks parameter as required
`@default <value>` on interface field	Sets default value in schema

Generated Files

The build system generates:

skills/schemas.json — JSON schema for all API endpoints
skills/docs.md — Human-readable API documentation
skills/SKILL.md — Skill metadata for AI agent discovery

Command Entry Point Pattern

Standard Command

// src/my_command.ts
import { Commander, EnconvoResponse } from "@enconvo/api";

export default async function main(req: Request): Promise<EnconvoResponse> {
  const options = await req.json();
  const result = processInput(options.input_text);
  return EnconvoResponse.text(result);
}

Provider Command

// src/my_provider.ts
export default function main(options: any) {
  return new MyProvider(options);
}

API Route

// src/api/my_endpoint.ts
export default async function main(request: Request) {
  const params = await request.json();
  return Response.json({ result: "ok" });
}

Building Extensions

# Build for production
npx enconvo build

# Dev mode with hot reload
npx enconvo build --dev

# Generate API schema
npx enconvo generate-schema

# Generate API docs + schema
npx enconvo generate-docs

# Publish to store
npx enconvo publish

Next Steps

Developing Extensions

Step-by-step guide to creating extensions

Built-in Extensions

Explore all available extensions

Skills

Package AI instructions as reusable skills

Hooks

React to extension events with hooks

Getting Started

Core Features

AI Capabilities

Providers

Workflows & Extensions

Integrations

Advanced

Configuration

Resources

Documentation Index

​Overview

​Commander API

​Commander.addClickListener

​Commander.send

​Commander.sendRequest

​Commander.sendAsync

​Request Object

​EnconvoResponse

​EnconvoResponse.text

​EnconvoResponse.messages

​EnconvoResponse.json

​EnconvoResponse.none

​EnconvoResponse.error

​Returning a string

​NativeAPI

​NativeAPI.callCommand

​NativeAPI.request / NativeAPI.api

​NativeAPI.localApi

​Clipboard

​Toast & HUD

​SmartBar & Window

​environment

​KV (Key-Value Storage)

​Stream

​Stream.fromSSEResponse

​Stream.fromReadableStream

​Stream.tee

​Stream.toReadableStream

​res (Response Streaming)

​res.write

​res.writeLoading

​Write Actions

​LLMProvider Base Class

​LLMProvider.LLMOptions

​TTSProvider Base Class

​ServiceProvider.load

​Extension & Command Management

​NativeEventUtils

​Action

​src/api/ Auto-Discovery

​Single File Route

​Directory Route

​JSDoc Annotations

​Generated Files

​Command Entry Point Pattern

​Standard Command

​Provider Command

​API Route

​Building Extensions

​Next Steps

Developing Extensions

Built-in Extensions

Skills

Hooks

Overview

Commander API

Commander.addClickListener

Commander.send

Commander.sendRequest

Commander.sendAsync

Request Object

EnconvoResponse

EnconvoResponse.text

EnconvoResponse.messages

EnconvoResponse.json

EnconvoResponse.none

EnconvoResponse.error

Returning a string

NativeAPI

NativeAPI.callCommand

NativeAPI.request / NativeAPI.api

NativeAPI.localApi

Clipboard

Toast & HUD

SmartBar & Window

environment

KV (Key-Value Storage)

Stream

Stream.fromSSEResponse

Stream.fromReadableStream

Stream.tee

Stream.toReadableStream

res (Response Streaming)

res.write

res.writeLoading

Write Actions

LLMProvider Base Class

LLMProvider.LLMOptions

TTSProvider Base Class

ServiceProvider.load

Extension & Command Management

NativeEventUtils

Action

src/api/ Auto-Discovery

Single File Route

Directory Route

JSDoc Annotations

Generated Files

Command Entry Point Pattern

Standard Command

Provider Command

API Route

Building Extensions

Next Steps