5340a975a7
- Add DiscoverCheckpointsIter, FindUnscoredIter (iter.Seq2/iter.Seq) - Add BackendsIter on Service - Replace sort.Slice with slices.SortFunc, sort.Strings with slices.Sort - Replace manual map-key-collect-sort with slices.Sorted(maps.Keys(...)) - Refactor ProbeCategories to use slices.Sorted with inline iterator - Existing slice-returning methods preserved, backed by new iterators Co-Authored-By: Gemini <noreply@google.com> Co-Authored-By: Virgil <virgil@lethean.io>
80 lines
2.1 KiB
Go
80 lines
2.1 KiB
Go
package cmd
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import (
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"context"
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"fmt"
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"maps"
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"slices"
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"time"
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"forge.lthn.ai/core/cli/pkg/cli"
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"forge.lthn.ai/core/go-ml"
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)
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var (
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scoreInput string
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scoreSuites string
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scoreOutput string
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scoreConcur int
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)
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var scoreCmd = &cli.Command{
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Use: "score",
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Short: "Score responses with heuristic and LLM judges",
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Long: "Reads a JSONL file of prompt/response pairs and scores them across configured suites.",
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RunE: runScore,
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}
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func init() {
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scoreCmd.Flags().StringVar(&scoreInput, "input", "", "Input JSONL file with prompt/response pairs (required)")
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scoreCmd.Flags().StringVar(&scoreSuites, "suites", "all", "Comma-separated scoring suites (heuristic,semantic,content,exact,truthfulqa,donotanswer,toxigen)")
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scoreCmd.Flags().StringVar(&scoreOutput, "output", "", "Output JSON file for scores")
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scoreCmd.Flags().IntVar(&scoreConcur, "concurrency", 4, "Number of concurrent scoring workers")
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scoreCmd.MarkFlagRequired("input")
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}
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func runScore(cmd *cli.Command, args []string) error {
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responses, err := ml.ReadResponses(scoreInput)
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if err != nil {
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return fmt.Errorf("read input: %w", err)
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}
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var judge *ml.Judge
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if judgeURL != "" {
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backend := ml.NewHTTPBackend(judgeURL, judgeModel)
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judge = ml.NewJudge(backend)
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}
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engine := ml.NewEngine(judge, scoreConcur, scoreSuites)
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ctx := context.Background()
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perPrompt := engine.ScoreAll(ctx, responses)
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averages := ml.ComputeAverages(perPrompt)
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if scoreOutput != "" {
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output := &ml.ScorerOutput{
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Metadata: ml.Metadata{
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JudgeModel: judgeModel,
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JudgeURL: judgeURL,
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ScoredAt: time.Now(),
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Suites: ml.SplitComma(scoreSuites),
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},
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ModelAverages: averages,
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PerPrompt: perPrompt,
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}
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if err := ml.WriteScores(scoreOutput, output); err != nil {
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return fmt.Errorf("write output: %w", err)
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}
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fmt.Printf("Scores written to %s\n", scoreOutput)
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} else {
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for _, model := range slices.Sorted(maps.Keys(averages)) {
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avgs := averages[model]
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fmt.Printf("%s:\n", model)
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for _, field := range slices.Sorted(maps.Keys(avgs)) {
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fmt.Printf(" %-25s %.3f\n", field, avgs[field])
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}
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}
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}
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return nil
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}
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