AI::Engine is the fastest way to get AI Assistants into your Rails app! It's a Rails Engine which sets up everything you need to start streaming from OpenAI Assistants in your Rails app.

Full docs can be found at RailsAI.com.

A demo app can be found here.

You can add AI::Engine to your Gemfile like this:

gem "ai-engine", "~> 0.3.0"

You then need to add the migrations for the gem:

bundle exec rails ai_engine:install:migrations

And run them:

bundle exec rails db:migrate

Full docs can be found at RailsAI.com.

gem "ai-engine", path: "../ai-engine"

The dummy app needs a .env file in the root of the engine for manual and RSpec testing - see .env.example.

Run the dummy app from the root of the project with bin/dev in one tab and bin/rails s in another (so debugger will work).

Run the tests from the root of the project with rspec.

AI::Engine uses VCR to record HTTP requests and responses. By default, specs are run against recorded 'cassette' fixtures.

Set OPENAI_ACCESS_TOKEN= in your .env file to run the specs against a live API and re-record all cassettes - this will cost you money!

First run the specs without VCR so they actually hit the API. This will cost 2 cents or more. Set OPENAI_ACCESS_TOKEN in your environment or pass it in like this:

OPENAI_ACCESS_TOKEN=123abc bundle exec rspec

Then update the version number in version.rb, update CHANGELOG.md, run bundle install to update Gemfile.lock, and then run bundle exec rake release, which will create a git tag for the version, push git commits and tags, and push the .gem file to rubygems.org.