Class: Assistant::BrainJunkClassifier

Inherits:
Object
  • Object
show all
Defined in:
app/services/assistant/brain_junk_classifier.rb

Overview

Classifies pending auto-learned brain entries as durable rules vs ephemeral
task-state junk (sell-sheet "X Completed" tracking notes, one-off status, etc.).
One bounded LLM call; used by BrainMaintenance to auto-reject the junk. Conservative
by design — when unsure it keeps an entry (a human still reviews everything kept).

Examples:

Assistant::BrainJunkClassifier.call(AssistantBrainEntry.pending.to_a)
# => [{ id: 106, reason: "sell-sheet completion tracking, not a reusable rule" }]

Constant Summary collapse

PREFERRED_MODELS = 
[
  AiModelConstants.id(:anthropic_sonnet),
  AiModelConstants.id(:anthropic_haiku)
].freeze
MAX_ENTRIES = 
150

Class Method Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(entries) ⇒ BrainJunkClassifier

Returns a new instance of BrainJunkClassifier.



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# File 'app/services/assistant/brain_junk_classifier.rb', line 26

def initialize(entries)
  @entries = Array(entries).first(MAX_ENTRIES)
end

Class Method Details

.call(entries) ⇒ Array<Hash>

Returns [{ id:, reason: }] for entries judged ephemeral junk.

Parameters:

Returns:

  • (Array<Hash>) —

    [{ id:, reason: }] for entries judged ephemeral junk



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# File 'app/services/assistant/brain_junk_classifier.rb', line 22

def self.call(entries)
  new(entries).call
end

Instance Method Details

#call ⇒ Array<Hash>

Returns:

  • (Array<Hash>) 


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# File 'app/services/assistant/brain_junk_classifier.rb', line 31

def call
  return [] if @entries.empty?

  model = select_model
  return [] unless model

  raw = RubyLLM.chat(model: model).with_temperature(0).ask(build_prompt).content.to_s
  parse(raw)
rescue RubyLLM::Error => e
  Rails.logger.warn("[BrainJunkClassifier] LLM error: #{e.message}")
  []
rescue StandardError => e
  Rails.logger.warn("[BrainJunkClassifier] Failed: #{e.message}")
  []
end