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@kien-le/selector-pipeline

v0.1.0

Published

Local selector pipeline service for Semantic DOM browser extension clients

Readme

Selector Pipeline

Local selector pipeline service for Semantic DOM browser extension clients.

The service listens on 127.0.0.1:4317 by default. The extension sends page snapshots over WebSocket, the service runs the multi-stage selector pipeline, and the extension verifies candidate selectors in the browser.

Quick Start

npx @kien-le/selector-pipeline

This also accepts an explicit serve subcommand:

npx @kien-le/selector-pipeline serve

The CLI prompts for missing model configuration in an interactive terminal:

  • endpoint
  • deployment
  • subscription_key
  • api_version

You can also provide them as environment variables:

endpoint="https://your-resource.openai.azure.com" \
deployment="your-deployment" \
subscription_key="your-key" \
api_version="2024-02-01" \
npx @kien-le/selector-pipeline

Options

selector-pipeline --host 127.0.0.1 --port 4317 --checkpoints ./checkpoints
  • --host changes the host to bind. Defaults to 127.0.0.1.
  • --port changes the HTTP/WebSocket port. Defaults to 4317.
  • --checkpoints changes where run artifacts are written. Defaults to ./checkpoints.

Runtime Shortcuts

When running in an interactive terminal:

  • e edits model configuration without restarting the service.
  • p prints the current model configuration, masking subscription_key.
  • q stops the service.

Extension Integration

Start this service before using the extension's local pipeline mode. The extension connects to:

ws://127.0.0.1:4317

The health endpoint is available at:

http://127.0.0.1:4317/health