Module: Legion::Gaia::Anticipation

Extended by:
Logging::Helper
Defined in:
lib/legion/gaia/anticipation.rb

Overview

H6 — prediction pre-staging with emotional modulation (§12.8).

Reads pending predictions from lex-agentic-inference (if available). Actionable predictions (confidence >= threshold) trigger pre-staged RAG retrieval, capped at 25% of total entries.

Emotional modulation: negative-valence anticipations defer when the partner's affect baseline is low (soft-guarded on lex-agentic-affect).

Entropy guard: no resolution under high identity entropy (consistent with H2). Soft-guarded throughout: returns nil when dependencies are absent.

Constant Summary collapse

LOW_AFFECT_BASELINE =

Threshold below which the partner's affect baseline is considered "low".

0.3
PRESTAGE_CAP_RATIO =

Cap on pre-staged entries as a fraction of total RAG entries.

0.25

Class Method Summary collapse

Class Method Details

.actionable_threshold ⇒ Object 



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# File 'lib/legion/gaia/anticipation.rb', line 140

def actionable_threshold
  settings = Legion::Gaia.settings
  settings&.dig(:anticipation, :actionable_threshold) ||
    (defined?(Legion::Extensions::Agentic::Inference::Prediction::Helpers::Modes::PREDICTION_CONFIDENCE_MIN) &&
     Legion::Extensions::Agentic::Inference::Prediction::Helpers::Modes::PREDICTION_CONFIDENCE_MIN) ||
    0.65
end

.affect_baseline_low?(identity:) ⇒ Boolean

Returns true when the partner's affect baseline is below LOW_AFFECT_BASELINE.

Returns:

  • (Boolean) 


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# File 'lib/legion/gaia/anticipation.rb', line 200

def affect_baseline_low?(identity:)
  return false unless defined?(Legion::Extensions::Agentic::Affect::Empathy::Helpers::ModelStore)

  model_store = Legion::Extensions::Agentic::Affect::Empathy::Helpers::ModelStore.new
  model = model_store.get(identity)
  return false unless model.respond_to?(:emotional_state)

  negative_states = %i[stressed anxious frustrated overwhelmed sad]
  negative_states.include?(model.emotional_state)
rescue StandardError => e
  handle_exception(e, level: :debug, operation: 'gaia.anticipation.affect_baseline_low', identity: identity)
  false
end

.build(identity:, context:) ⇒ Hash?

Build anticipation context for advisory.

Parameters:

  • identity (String) —

    partner identity

  • context (Hash) —

    current request context, e.g. { rag_entry_count:, entropy: }

Returns:

  • (Hash, nil) —

    { prediction_id:, content:, confidence:, pre_staged: [...] } nil when lex-agentic-inference not loaded or no actionable predictions



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# File 'lib/legion/gaia/anticipation.rb', line 37

def build(identity:, context:)
  return nil unless inference_available?

  runner = inference_runner
  result = runner.pending_predictions(identity: identity.to_s)
  predictions = Array(result[:predictions])
  return nil if predictions.empty?

  actionable = predictions.select { |p| p[:confidence].to_f >= actionable_threshold }
  return nil if actionable.empty?

  # Pick the highest-confidence actionable prediction
  best = actionable.max_by { |p| p[:confidence].to_f }

  # Emotional modulation: defer negative-valence anticipation when affect baseline is low
  if deferred?(identity: identity, anticipation: best)
    log.info("[anticipation] deferred identity=#{identity} prediction_id=#{best[:prediction_id].to_s[0, 8]} " \
             'reason=emotional_state')
    return nil
  end

  pre_staged = build_prestaged(context: context, prediction: best)

  log.info("[anticipation] built identity=#{identity} prediction_id=#{best[:prediction_id].to_s[0, 8]} " \
           "confidence=#{best[:confidence].to_f.round(3)} pre_staged=#{pre_staged.size}")

  {
    prediction_id: best[:prediction_id],
    content: best[:description] || best[:context].to_s,
    confidence: best[:confidence].to_f,
    pre_staged: pre_staged
  }
rescue StandardError => e
  handle_exception(e, level: :warn, operation: 'gaia.anticipation.build', identity: identity)
  nil
end

.build_prestaged(context:, prediction:) ⇒ Object

Builds pre-staged RAG entries capped at 25% of total context entries.



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# File 'lib/legion/gaia/anticipation.rb', line 149

def build_prestaged(context:, prediction:)
  return [] unless context.is_a?(Hash)

  rag_count = context[:rag_entry_count].to_i
  return [] if rag_count.zero?

  cap = [(rag_count * PRESTAGE_CAP_RATIO).ceil, 1].max
  prediction_context = prediction[:context]
  return [] unless prediction_context.is_a?(Hash) && prediction_context[:pre_stage_entries].is_a?(Array)

  prediction_context[:pre_stage_entries].first(cap)
end

.deferred?(identity:, anticipation:) ⇒ Boolean

Check if an anticipation should be deferred due to emotional state.

Deferred when the anticipation has negative emotional context AND the partner's current affect baseline is low (§12.8 emotional modulation).

Parameters:

  • identity (String) —

    partner identity

  • anticipation (Hash) —

    prediction entry with optional :emotional_context

Returns:

  • (Boolean) 


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# File 'lib/legion/gaia/anticipation.rb', line 118

def deferred?(identity:, anticipation:)
  return false unless anticipation.is_a?(Hash)

  anticipation_valence = extract_valence(anticipation)
  return false unless anticipation_valence < 0.0

  affect_baseline_low?(identity: identity.to_s)
rescue StandardError => e
  handle_exception(e, level: :debug, operation: 'gaia.anticipation.deferred', identity: identity)
  false
end

.extract_valence(anticipation) ⇒ Object 



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# File 'lib/legion/gaia/anticipation.rb', line 214

def extract_valence(anticipation)
  ctx = anticipation[:emotional_context]
  if ctx.is_a?(Hash)
    ctx[:valence].to_f
  elsif ctx.is_a?(Numeric)
    ctx.to_f
  else
    0.0
  end
end

.grade_prediction(prediction_id:, actual:, identity:) ⇒ Object

Grade a prediction as :correct, :incorrect, or :partial.



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# File 'lib/legion/gaia/anticipation.rb', line 163

def grade_prediction(prediction_id:, actual:, identity:)
  return :incorrect unless inference_available?

  runner = inference_runner
  pred_result = runner.get_prediction(prediction_id: prediction_id, identity: identity)
  return :incorrect unless pred_result[:found]

  prediction = pred_result[:prediction]
  predicted = prediction[:description].to_s.downcase.strip
  actual_str = actual.to_s.downcase.strip

  return :incorrect if predicted.empty? || actual_str.empty?

  if actual_str.include?(predicted) || predicted.include?(actual_str)
    :correct
  elsif partial_match?(predicted, actual_str)
    :partial
  else
    :incorrect
  end
rescue StandardError => e
  handle_exception(e, level: :debug, operation: 'gaia.anticipation.grade_prediction',
                      prediction_id: prediction_id)
  :incorrect
end

.high_entropy?(identity:) ⇒ Boolean

Returns:

  • (Boolean) 


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# File 'lib/legion/gaia/anticipation.rb', line 225

def high_entropy?(identity:)
  return false unless defined?(Legion::Extensions::Agentic::Self::Helpers::IdentityFingerprint)

  runner = Object.new
  runner.extend(Legion::Extensions::Agentic::Self::Helpers::IdentityFingerprint)
  entropy = runner.identity_entropy(identity: identity)
  threshold = Legion::Gaia.settings&.dig(:identity, :high_entropy_threshold) || 0.7
  entropy.to_f >= threshold
rescue StandardError
  false
end

.inference_available? ⇒ Boolean

Returns:

  • (Boolean) 


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# File 'lib/legion/gaia/anticipation.rb', line 130

def inference_available?
  defined?(Legion::Extensions::Agentic::Inference::Prediction::Runners::Prediction) == 'constant'
end

.inference_runner ⇒ Object 



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# File 'lib/legion/gaia/anticipation.rb', line 134

def inference_runner
  runner = Object.new
  runner.extend(Legion::Extensions::Agentic::Inference::Prediction::Runners::Prediction)
  runner
end

.partial_match?(predicted, actual) ⇒ Boolean

Returns:

  • (Boolean) 


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# File 'lib/legion/gaia/anticipation.rb', line 189

def partial_match?(predicted, actual)
  pred_words = predicted.split(/\s+/).reject(&:empty?)
  actual_words = actual.split(/\s+/).reject(&:empty?)
  return false if pred_words.empty? || actual_words.empty?

  overlap = pred_words & actual_words
  ratio = overlap.size.to_f / [pred_words.size, actual_words.size].min
  ratio >= 0.5
end

.resolve(identity:, prediction_id:, actual:) ⇒ Hash?

Resolve a pending anticipation against the partner's actual next input.

Grades the prediction as :correct, :incorrect, or :partial and records the outcome. Skipped under high identity entropy.

Parameters:

  • identity (String) —

    partner identity

  • prediction_id (String) —

    UUID of the prediction to resolve

  • actual (String) —

    the partner's actual input

Returns:

  • (Hash, nil) —

    { resolved: true/false, outcome:, prediction_id: } nil when dependencies unavailable



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# File 'lib/legion/gaia/anticipation.rb', line 85

def resolve(identity:, prediction_id:, actual:)
  return nil unless inference_available?

  identity_str = identity.to_s

  if high_entropy?(identity: identity_str)
    log.info("[anticipation] resolve skipped identity=#{identity_str} reason=high_entropy")
    return { resolved: false, reason: :high_entropy, prediction_id: prediction_id }
  end

  outcome = grade_prediction(prediction_id: prediction_id, actual: actual, identity: identity_str)
  runner = inference_runner
  result = runner.resolve_prediction(prediction_id: prediction_id, outcome: outcome,
                                     actual: actual, identity: identity_str)

  log.info("[anticipation] resolved identity=#{identity_str} prediction_id=#{prediction_id.to_s[0, 8]} " \
           "outcome=#{outcome}")

  result
rescue StandardError => e
  handle_exception(e, level: :warn, operation: 'gaia.anticipation.resolve',
                      identity: identity, prediction_id: prediction_id)
  nil
end