Project

activeai

0.0
No release in over a year
A pack for building AI-backed routes and controllers, plus a collection of helpers for GPT3, DALLE, Whisper, Stable Diffusion and more
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 Dependencies

Runtime

>= 0
 Project Readme

ActiveAI

AI AS COMPUTE

Artificial Intelligence the Rails way.

Supported by gamebreakers community - AI is for everyone <3

Usage

L0: Interacting directly with neural networks

GPT3

gpt3 = ActiveAI::NeuralNetwork::GPT3.new(ENV['OPEN_AI_TOKEN'])
prompt = "Never gonna give you up, never gonna"
puts gpt3.complete(prompt: prompt)['choices'].first['text']
#=> 'let you down, never gonna run around and hurt you.'

TODO: others

L1: Using behavior patterns to interact with neural networks

With structured examples

llm = ActiveAI::NeuralNetwork::GPT3.new(ENV['OPEN_AI_TOKEN'], model: 'text-curie-001')
behavior = ActiveAI::Behavior::LLM::FollowStructuredExamples.new(llm, {
  instruction: 'Write a comma-separated list of nouns in the following sentences:',
  examples: [
    { sentence: 'I have some veggie burgers in the freezer!', nouns: 'burgers, freezer' }
    # a couple of examples improves performance!
  ]
})
result = behavior.call({ sentence: 'My tomatoes are in bloom this summer, time for jam!' }, extract: %W[nouns])
puts result
#=> 'tomatoes, jam'

Behavior: WriteFunctionCall

TODO

This lets you use code-davinci-002 or code-cushman-001 to run logic. The router uses this internally. Supply a list of example pairs that are a "description" and "code", and then you can complete another one.

TODO: with other patterns

TODO: auto-detected behavior pattern from config

L2: Rails magic for neural networks

This is the fun part!

Suppose you have the following files:

config/routes/bank.yml

instruction:
  For a given Match request, choose where to send it via the "Route" field and choose the params that fit best.
  If nothing matches, the "Route" field should be None.
examples:
  - Match: Check the weather
    Route: none
  - Match: Send R100 to Jomiro
    Route: bank#transfer_money
    Params: { beneficiaryId: 12345, amount: 100.0 }
  - Match: Pay Mom R245 for groceries
    Route: bank#transfer_money
    Params: { beneficiaryId: 98765, amount: 245.0, reference: "Groceries <3" }
  - Match: What's my bank balance?
    Route: bank#check_balance

controllers/bank_controller.rb

class BankController < ActiveAI::Controller
  auto_load_routing # loads routing config from config/routes/bank.yml
  load_routing(config) # alternatively, loads routing config from a hash

  def check_balance
    # Make an API request to GET bank.com/balance and return some useful data
  end

  def transfer_money
    # Make an API request to POST bank.com/transfer with params and return some useful data
  end
end

How to use it

Running a controller directly

Using the routing yml file and an LLM, the controller will turn any text request into an action to run, with parameters to supply, and then execute it.

controller = BankController.new
controller.call("Pay Mom R127 for groceries")
# => responds with the result of an action that ran with params

Routing an unknown request with multiple controllers

It's possible to instantiate an ActiveAI::Router, load up the examples from multiple controllers, and then have it handle many types of requests. It does this in a similar way to how the controller uses an LLM to map to action and params, but it concatenates all controller routing examples and strips out the parameter preparation step for efficiency, since the controller handles this.

router = ActiveAI::Router.new # TODO you need to add providers now.. should be optional?

# load all auto-detected routes:
router.auto_load_routing(Rails.root.join('config','routes')) # loads all .yml files as controller examples

# or, load config via path or manually from a config hash:
router.add_controller_routing_from_path(Rails.root.join("config", "routes", "bank.yml"))
slack_routing = YAML::load(File.read(Rails.root.join("config", "routes", "slack.yml"))
router.add_controller_routing(slack_routing)

Once the routes are loaded, requests will be passed to a matched controller, if any matches. You can match and run requests like this:

router.call("Send a Slack message saying 'Hey everyone!") # returns the successful action
router.call("Transfer R5,000 to savings") # returns the successful action
router.call("Visit grandma") # returns nil

Or if you just want to find the controller:

router.find_controller("Transfer money out of savings")
# => BankController

Please help make this better!

This is an experiment to push the boundaries of "AI as compute" and it would be awesome to have more eager explorers to play with!