Await FAQs

Question 1

Does Await support both blocking and non-blocking wait modes?

Accepted Answer

Yes, Await supports both modes. By default, it operates in a blocking mode until the condition is met or times out. For parallel execution, a non-blocking mode is available, returning a `watch_id` instantly, allowing the agent to perform other tasks while Await monitors in the background.

Question 2

What kind of output does Await provide?

Accepted Answer

Await provides structured JSON output upon completion, detailing the status (success/timeout/error), elapsed time, and relevant information. It also uses clear exit codes (0 for success, 1 for timeout, 2 for error) for programmatic consumption.

Question 3

What is Await and what problem does it solve?

Accepted Answer

Await is a developer tool designed to monitor and wait for various system conditions and command outcomes. It solves the problem of inefficient polling (e.g., `sleep` loops, `curl --retry`) by actively watching for events, freeing up agent execution and reducing API round-trips.

Question 4

What types of conditions can Await monitor?

Accepted Answer

Await offers versatile monitoring for conditions such as TCP port availability, file creation/modification/deletion, URL HTTP status, process ID (PID) existence, Docker container status, GitHub Actions run completion, and the successful exit of arbitrary shell commands.

Question 5

How does Await integrate with AI CLI assistants?

Accepted Answer

Await integrates as an MCP (Model Context Protocol) server. This allows AI CLI assistants (like Claude Code, Codex, Cursor) to directly utilize Await's tools for efficient condition waiting, streamlining agent workflows and reducing unnecessary API calls.

Await

Await

Key Features

Use Cases

Key Features

Use Cases