Class: RubyLLM::Contract::Eval::RetryOptimizer

Inherits:
Object
  • Object
show all
Defined in:
lib/ruby_llm/contract/eval/retry_optimizer.rb

Overview

Runs compare_models on ALL evals for a step, builds a score matrix, identifies the constraining eval, and suggests an escalation chain.

optimizer = RetryOptimizer.new(step: MyStep, candidates: [...], context: {})
result = optimizer.call
result.print_summary
result.to_dsl  # => copy-paste retry_policy

Defined Under Namespace

Classes: Result

Instance Method Summary collapse

Constructor Details

#initialize(step:, candidates:, context: {}, min_score: DEFAULT_MIN_SCORE, runs: 1, production_mode: nil) ⇒ RetryOptimizer

Returns a new instance of RetryOptimizer.



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# File 'lib/ruby_llm/contract/eval/retry_optimizer.rb', line 101

def initialize(step:, candidates:, context: {},
               min_score: DEFAULT_MIN_SCORE,
               runs: 1, production_mode: nil)
  @step = step
  @candidates = candidates
  @context = context
  @min_score = min_score
  @runs = runs
  @production_mode = production_mode
end

Instance Method Details

#callObject



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# File 'lib/ruby_llm/contract/eval/retry_optimizer.rb', line 112

def call
  evals = @step.eval_names
  return empty_result(evals) if evals.empty?

  score_matrix = {}
  evals.each do |eval_name|
    # `retry_policy_override: nil` in context disables the step's
    # class-level retry policy for this comparison run — see
    # step/base.rb#runtime_settings, which honours the key when
    # present (even when value is nil). Replaces the prior
    # `define_singleton_method(:retry_policy)` mutation, which was
    # not thread-safe across concurrent optimizer calls.
    comparison = @step.compare_models(
      eval_name,
      candidates: @candidates,
      context: @context.merge(retry_policy_override: nil),
      runs: @runs,
      production_mode: @production_mode
    )
    score_matrix[eval_name] = extract_scores(comparison)
  end

  labels = score_matrix.values.flat_map(&:keys).uniq
  constraining = find_constraining_eval(score_matrix, labels)
  chain, details = build_chain(score_matrix, labels, evals)

  Result.new(
    step_name: @step.name || @step.to_s,
    eval_names: evals,
    candidate_labels: labels,
    score_matrix: score_matrix,
    constraining_eval: constraining,
    chain: chain,
    chain_details: details
  )
end