chore: fmt.Errorf(static) → errors.New

backend_http.go

@@ -161,7 +161,7 @@ func (b *HTTPBackend) doRequest(ctx context.Context, body []byte) (string, error
 	}
 
 	if len(chatResp.Choices) == 0 {
-		return "", fmt.Errorf("no choices in response")
+		return "", errors.New("no choices in response")
 	}
 
 	return chatResp.Choices[0].Message.Content, nil

backend_http_textmodel.go

@@ -4,7 +4,7 @@ package ml
 
 import (
 	"context"
-	"fmt"
+	"errors"
 	"iter"
 
 	"forge.lthn.ai/core/go-inference"
@@ -73,7 +73,7 @@ func (m *HTTPTextModel) Chat(ctx context.Context, messages []inference.Message,
 
 // Classify is not supported by HTTP backends. Returns an error.
 func (m *HTTPTextModel) Classify(_ context.Context, _ []string, _ ...inference.GenerateOption) ([]inference.ClassifyResult, error) {
-	return nil, fmt.Errorf("classify not supported by HTTP backend")
+	return nil, errors.New("classify not supported by HTTP backend")
 }
 
 // BatchGenerate processes multiple prompts sequentially via Generate.

cmd/cmd_ab.go

@@ -5,6 +5,7 @@ package cmd
 import (
 	"context"
 	"encoding/json"
+	"errors"
 	"fmt"
 	"log/slog"
 	"maps"
@@ -319,7 +320,7 @@ func runAB(cmd *cli.Command, args []string) error {
 	}
 
 	if len(results) == 0 {
-		return fmt.Errorf("no results to compare")
+		return errors.New("no results to compare")
 	}
 
 	// Build condition summaries
@@ -551,7 +552,7 @@ func loadABProbes() ([]abProbe, error) {
 
 func loadABKernels() ([]abKernelDef, error) {
 	if len(abKernels) == 0 {
-		return nil, fmt.Errorf("at least one --kernel is required (raw file content is used as system message with zero instruction)")
+		return nil, errors.New("at least one --kernel is required (raw file content is used as system message with zero instruction)")
 	}
 
 	var defs []abKernelDef

cmd/cmd_approve.go

@@ -1,6 +1,7 @@
 package cmd
 
 import (
+	"errors"
 	"fmt"
 	"os"
 	"path/filepath"
@@ -32,7 +33,7 @@ func runApprove(cmd *cli.Command, args []string) error {
 		path = os.Getenv("LEM_DB")
 	}
 	if path == "" {
-		return fmt.Errorf("--db or LEM_DB required")
+		return errors.New("--db or LEM_DB required")
 	}
 
 	output := approveOutput

cmd/cmd_benchmark.go

@@ -5,6 +5,7 @@ package cmd
 import (
 	"context"
 	"encoding/json"
+	"errors"
 	"fmt"
 	"log/slog"
 	"math"
@@ -13,9 +14,9 @@ import (
 	"sort"
 	"time"
 
+	"forge.lthn.ai/core/cli/pkg/cli"
 	"forge.lthn.ai/core/go-i18n/reversal"
 	"forge.lthn.ai/core/go-ml"
-	"forge.lthn.ai/core/cli/pkg/cli"
 )
 
 // grammarScore holds grammar v3 quality signals derived from a GrammarImprint.
@@ -176,16 +177,16 @@ type benchmarkResult struct {
 
 // benchmarkSummary holds aggregate comparison metrics.
 type benchmarkSummary struct {
-	BaselineModel   string             `json:"baseline_model"`
-	TrainedModel    string             `json:"trained_model"`
-	TotalPrompts    int                `json:"total_prompts"`
-	AvgBaselineLEK  float64            `json:"avg_baseline_lek"`
-	AvgTrainedLEK   float64            `json:"avg_trained_lek"`
-	AvgDelta        float64            `json:"avg_delta"`
-	Improved        int                `json:"improved"`
-	Regressed       int                `json:"regressed"`
-	Unchanged       int                `json:"unchanged"`
-	Duration        string             `json:"duration"`
+	BaselineModel  string  `json:"baseline_model"`
+	TrainedModel   string  `json:"trained_model"`
+	TotalPrompts   int     `json:"total_prompts"`
+	AvgBaselineLEK float64 `json:"avg_baseline_lek"`
+	AvgTrainedLEK  float64 `json:"avg_trained_lek"`
+	AvgDelta       float64 `json:"avg_delta"`
+	Improved       int     `json:"improved"`
+	Regressed      int     `json:"regressed"`
+	Unchanged      int     `json:"unchanged"`
+	Duration       string  `json:"duration"`
 
 	// Grammar v3 aggregates
 	AvgBaselineGrammar float64 `json:"avg_baseline_grammar"`
@@ -351,7 +352,7 @@ func runBenchmark(cmd *cli.Command, args []string) error {
 
 	n := float64(len(results))
 	if n == 0 {
-		return fmt.Errorf("no results to compare")
+		return errors.New("no results to compare")
 	}
 
 	summary := benchmarkSummary{

cmd/cmd_coverage.go

@@ -1,6 +1,7 @@
 package cmd
 
 import (
+	"errors"
 	"fmt"
 	"os"
 
@@ -21,7 +22,7 @@ func runCoverage(cmd *cli.Command, args []string) error {
 		path = os.Getenv("LEM_DB")
 	}
 	if path == "" {
-		return fmt.Errorf("--db or LEM_DB required")
+		return errors.New("--db or LEM_DB required")
 	}
 
 	db, err := ml.OpenDB(path)

cmd/cmd_expand.go

@@ -2,6 +2,7 @@ package cmd
 
 import (
 	"context"
+	"errors"
 	"fmt"
 	"os"
 
@@ -10,10 +11,10 @@ import (
 )
 
 var (
-	expandWorker  string
-	expandOutput  string
-	expandLimit   int
-	expandDryRun  bool
+	expandWorker string
+	expandOutput string
+	expandLimit  int
+	expandDryRun bool
 )
 
 var expandCmd = &cli.Command{
@@ -32,7 +33,7 @@ func init() {
 
 func runExpand(cmd *cli.Command, args []string) error {
 	if modelName == "" {
-		return fmt.Errorf("--model is required")
+		return errors.New("--model is required")
 	}
 
 	path := dbPath
@@ -40,7 +41,7 @@ func runExpand(cmd *cli.Command, args []string) error {
 		path = os.Getenv("LEM_DB")
 	}
 	if path == "" {
-		return fmt.Errorf("--db or LEM_DB env is required")
+		return errors.New("--db or LEM_DB env is required")
 	}
 
 	if expandWorker == "" {

cmd/cmd_expand_status.go

@@ -1,6 +1,7 @@
 package cmd
 
 import (
+	"errors"
 	"fmt"
 	"os"
 
@@ -21,7 +22,7 @@ func runExpandStatus(cmd *cli.Command, args []string) error {
 		path = os.Getenv("LEM_DB")
 	}
 	if path == "" {
-		return fmt.Errorf("--db or LEM_DB required")
+		return errors.New("--db or LEM_DB required")
 	}
 
 	db, err := ml.OpenDB(path)

cmd/cmd_export.go

@@ -1,6 +1,7 @@
 package cmd
 
 import (
+	"errors"
 	"fmt"
 	"os"
 
@@ -46,7 +47,7 @@ func runExport(cmd *cli.Command, args []string) error {
 		path = os.Getenv("LEM_DB")
 	}
 	if path == "" {
-		return fmt.Errorf("--db or LEM_DB env is required")
+		return errors.New("--db or LEM_DB env is required")
 	}
 
 	db, err := ml.OpenDB(path)

cmd/cmd_import.go

@@ -1,6 +1,7 @@
 package cmd
 
 import (
+	"errors"
 	"fmt"
 	"os"
 	"path/filepath"
@@ -17,7 +18,7 @@ var importCmd = &cli.Command{
 }
 
 var (
-	importSkipM3 bool
+	importSkipM3  bool
 	importDataDir string
 	importM3Host  string
 )
@@ -34,7 +35,7 @@ func runImportAll(cmd *cli.Command, args []string) error {
 		path = os.Getenv("LEM_DB")
 	}
 	if path == "" {
-		return fmt.Errorf("--db or LEM_DB required")
+		return errors.New("--db or LEM_DB required")
 	}
 
 	dataDir := importDataDir

cmd/cmd_ingest.go

@@ -1,7 +1,7 @@
 package cmd
 
 import (
-	"fmt"
+	"errors"
 	"os"
 
 	"forge.lthn.ai/core/cli/pkg/cli"
@@ -33,10 +33,10 @@ func init() {
 
 func runIngest(cmd *cli.Command, args []string) error {
 	if modelName == "" {
-		return fmt.Errorf("--model is required")
+		return errors.New("--model is required")
 	}
 	if ingestContent == "" && ingestCapability == "" && ingestTraining == "" {
-		return fmt.Errorf("at least one of --content, --capability, or --training-log is required")
+		return errors.New("at least one of --content, --capability, or --training-log is required")
 	}
 
 	influx := ml.NewInfluxClient(influxURL, influxDB)

cmd/cmd_inventory.go

@@ -1,6 +1,7 @@
 package cmd
 
 import (
+	"errors"
 	"fmt"
 	"os"
 
@@ -21,7 +22,7 @@ func runInventory(cmd *cli.Command, args []string) error {
 		path = os.Getenv("LEM_DB")
 	}
 	if path == "" {
-		return fmt.Errorf("--db or LEM_DB required")
+		return errors.New("--db or LEM_DB required")
 	}
 
 	db, err := ml.OpenDB(path)

cmd/cmd_lesson.go

@@ -5,6 +5,7 @@ package cmd
 import (
 	"context"
 	"encoding/json"
+	"errors"
 	"fmt"
 	"log/slog"
 	"os"
@@ -13,8 +14,8 @@ import (
 	"strings"
 	"time"
 
-	"forge.lthn.ai/core/go-ml"
 	"forge.lthn.ai/core/cli/pkg/cli"
+	"forge.lthn.ai/core/go-ml"
 	"gopkg.in/yaml.v3"
 )
 
@@ -90,9 +91,9 @@ type lessonPrompt struct {
 
 // lessonState tracks progress through a lesson.
 type lessonState struct {
-	LessonID  string                    `json:"lesson_id"`
-	Completed map[string]lessonResult   `json:"completed"`
-	UpdatedAt string                    `json:"updated_at"`
+	LessonID  string                  `json:"lesson_id"`
+	Completed map[string]lessonResult `json:"completed"`
+	UpdatedAt string                  `json:"updated_at"`
 }
 
 type lessonResult struct {
@@ -162,7 +163,7 @@ func runLesson(cmd *cli.Command, args []string) error {
 	)
 
 	if len(lesson.Prompts) == 0 {
-		return fmt.Errorf("lesson has no prompts")
+		return errors.New("lesson has no prompts")
 	}
 
 	// Load state for resume

cmd/cmd_metrics.go

@@ -1,6 +1,7 @@
 package cmd
 
 import (
+	"errors"
 	"fmt"
 	"os"
 
@@ -21,7 +22,7 @@ func runMetrics(cmd *cli.Command, args []string) error {
 		path = os.Getenv("LEM_DB")
 	}
 	if path == "" {
-		return fmt.Errorf("--db or LEM_DB required")
+		return errors.New("--db or LEM_DB required")
 	}
 
 	db, err := ml.OpenDB(path)

cmd/cmd_normalize.go

@@ -1,6 +1,7 @@
 package cmd
 
 import (
+	"errors"
 	"fmt"
 	"os"
 
@@ -27,7 +28,7 @@ func runNormalize(cmd *cli.Command, args []string) error {
 		path = os.Getenv("LEM_DB")
 	}
 	if path == "" {
-		return fmt.Errorf("--db or LEM_DB env is required")
+		return errors.New("--db or LEM_DB env is required")
 	}
 
 	db, err := ml.OpenDBReadWrite(path)

cmd/cmd_probe.go

@@ -3,6 +3,7 @@ package cmd
 import (
 	"context"
 	"encoding/json"
+	"errors"
 	"fmt"
 	"os"
 
@@ -27,7 +28,7 @@ func init() {
 
 func runProbe(cmd *cli.Command, args []string) error {
 	if apiURL == "" {
-		return fmt.Errorf("--api-url is required")
+		return errors.New("--api-url is required")
 	}
 
 	model := modelName

cmd/cmd_query.go

@@ -2,6 +2,7 @@ package cmd
 
 import (
 	"encoding/json"
+	"errors"
 	"fmt"
 	"maps"
 	"os"
@@ -35,7 +36,7 @@ func runQuery(cmd *cli.Command, args []string) error {
 		path = os.Getenv("LEM_DB")
 	}
 	if path == "" {
-		return fmt.Errorf("--db or LEM_DB env is required")
+		return errors.New("--db or LEM_DB env is required")
 	}
 
 	db, err := ml.OpenDB(path)

cmd/cmd_sandwich.go

@@ -5,14 +5,15 @@ package cmd
 import (
 	"context"
 	"encoding/json"
+	"errors"
 	"fmt"
 	"log/slog"
 	"os"
 	"runtime"
 	"time"
 
-	"forge.lthn.ai/core/go-ml"
 	"forge.lthn.ai/core/cli/pkg/cli"
+	"forge.lthn.ai/core/go-ml"
 )
 
 var sandwichCmd = &cli.Command{
@@ -108,7 +109,7 @@ func runSandwich(cmd *cli.Command, args []string) error {
 	)
 
 	if len(seeds) == 0 {
-		return fmt.Errorf("no seed prompts found")
+		return errors.New("no seed prompts found")
 	}
 
 	// Open output file

cmd/cmd_seed_influx.go

@@ -1,6 +1,7 @@
 package cmd
 
 import (
+	"errors"
 	"fmt"
 	"os"
 
@@ -31,7 +32,7 @@ func runSeedInflux(cmd *cli.Command, args []string) error {
 		path = os.Getenv("LEM_DB")
 	}
 	if path == "" {
-		return fmt.Errorf("--db or LEM_DB required")
+		return errors.New("--db or LEM_DB required")
 	}
 
 	db, err := ml.OpenDB(path)

cmd/cmd_sequence.go

@@ -4,6 +4,7 @@ package cmd
 
 import (
 	"encoding/json"
+	"errors"
 	"fmt"
 	"log/slog"
 	"os"
@@ -11,8 +12,8 @@ import (
 	"strings"
 	"time"
 
-	"forge.lthn.ai/core/go-ml"
 	"forge.lthn.ai/core/cli/pkg/cli"
+	"forge.lthn.ai/core/go-ml"
 	"gopkg.in/yaml.v3"
 )
 
@@ -70,10 +71,10 @@ type sequenceDef struct {
 
 // sequenceState tracks progress through a sequence.
 type sequenceState struct {
-	SequenceID string            `json:"sequence_id"`
-	Completed  map[string]bool   `json:"completed"` // lesson ID → done
-	Current    string            `json:"current"`
-	UpdatedAt  string            `json:"updated_at"`
+	SequenceID string          `json:"sequence_id"`
+	Completed  map[string]bool `json:"completed"` // lesson ID → done
+	Current    string          `json:"current"`
+	UpdatedAt  string          `json:"updated_at"`
 }
 
 func runSequence(cmd *cli.Command, args []string) error {
@@ -103,7 +104,7 @@ func runSequence(cmd *cli.Command, args []string) error {
 		modelPath = seq.ModelPath
 	}
 	if modelPath == "" {
-		return fmt.Errorf("model-path is required (flag or sequence YAML)")
+		return errors.New("model-path is required (flag or sequence YAML)")
 	}
 
 	// Resolve output

cmd/cmd_train.go

@@ -10,6 +10,7 @@ package cmd
 import (
 	"bufio"
 	"encoding/json"
+	"errors"
 	"fmt"
 	"log/slog"
 	"os"
@@ -17,9 +18,10 @@ import (
 	"strings"
 	"time"
 
+	"forge.lthn.ai/core/cli/pkg/cli"
 	"forge.lthn.ai/core/go-ml"
 	"forge.lthn.ai/core/go-mlx"
-	"forge.lthn.ai/core/cli/pkg/cli"
+	"github.com/ollama/ollama/tokenizer"
 )
 
 var trainCmd = &cli.Command{
@@ -36,15 +38,15 @@ Training data format (one JSON object per line):
 }
 
 var (
-	trainModelPath  string
-	trainData       string
-	trainOutput     string
-	trainRank       int
-	trainAlpha      float64
-	trainLR         float64
-	trainEpochs     int
-	trainMaxSeqLen  int
-	trainTargets    string
+	trainModelPath   string
+	trainData        string
+	trainOutput      string
+	trainRank        int
+	trainAlpha       float64
+	trainLR          float64
+	trainEpochs      int
+	trainMaxSeqLen   int
+	trainTargets     string
 	trainMemoryLimit int
 )
 
@@ -113,7 +115,7 @@ func runTrain(cmd *cli.Command, args []string) error {
 	slog.Info("training data loaded", "samples", len(samples))
 
 	if len(samples) == 0 {
-		return fmt.Errorf("no training samples loaded")
+		return errors.New("no training samples loaded")
 	}
 
 	// --- Training loop ---

convert.go

@@ -3,6 +3,7 @@ package ml
 import (
 	"encoding/binary"
 	"encoding/json"
+	"errors"
 	"fmt"
 	"log"
 	"maps"
@@ -52,7 +53,7 @@ func ReadSafetensors(path string) (map[string]SafetensorsTensorInfo, []byte, err
 	}
 
 	if len(data) < 8 {
-		return nil, nil, fmt.Errorf("file too small")
+		return nil, nil, errors.New("file too small")
 	}
 
 	headerSize := int(binary.LittleEndian.Uint64(data[:8]))

coverage.go

@@ -1,6 +1,7 @@
 package ml
 
 import (
+	"errors"
 	"fmt"
 	"io"
 	"strings"
@@ -21,7 +22,7 @@ func PrintCoverage(db *DB, w io.Writer) error {
 		return fmt.Errorf("count seeds: %w (run: core ml import-all first)", err)
 	}
 	if len(rows) == 0 {
-		return fmt.Errorf("no seeds table found (run: core ml import-all first)")
+		return errors.New("no seeds table found (run: core ml import-all first)")
 	}
 	total := toInt(rows[0]["total"])
 

ingest.go

@@ -3,6 +3,7 @@ package ml
 import (
 	"bufio"
 	"encoding/json"
+	"errors"
 	"fmt"
 	"io"
 	"os"
@@ -59,10 +60,10 @@ var (
 // At least one of ContentFile, CapabilityFile, or TrainingLog must be set.
 func Ingest(influx *InfluxClient, cfg IngestConfig, w io.Writer) error {
 	if cfg.ContentFile == "" && cfg.CapabilityFile == "" && cfg.TrainingLog == "" {
-		return fmt.Errorf("at least one of --content, --capability, or --training-log is required")
+		return errors.New("at least one of --content, --capability, or --training-log is required")
 	}
 	if cfg.Model == "" {
-		return fmt.Errorf("--model is required")
+		return errors.New("--model is required")
 	}
 	if cfg.RunID == "" {
 		cfg.RunID = cfg.Model

normalize.go

@@ -1,6 +1,7 @@
 package ml
 
 import (
+	"errors"
 	"fmt"
 	"io"
 	"strings"
@@ -29,7 +30,7 @@ func NormalizeSeeds(db *DB, cfg NormalizeConfig, w io.Writer) error {
 	fmt.Fprintf(w, "Seeds table: %d rows\n", seedCount)
 
 	if seedCount == 0 {
-		return fmt.Errorf("seeds table is empty, nothing to normalize")
+		return errors.New("seeds table is empty, nothing to normalize")
 	}
 
 	// 2. Drop and recreate expansion_prompts.

publish.go

@@ -2,6 +2,7 @@ package ml
 
 import (
 	"bytes"
+	"errors"
 	"fmt"
 	"io"
 	"net/http"
@@ -34,12 +35,12 @@ type uploadEntry struct {
 // or ~/.huggingface/token, in that order.
 func Publish(cfg PublishConfig, w io.Writer) error {
 	if cfg.InputDir == "" {
-		return fmt.Errorf("input directory is required")
+		return errors.New("input directory is required")
 	}
 
 	token := resolveHFToken(cfg.Token)
 	if token == "" && !cfg.DryRun {
-		return fmt.Errorf("HuggingFace token required (--token, HF_TOKEN env, or ~/.huggingface/token)")
+		return errors.New("HuggingFace token required (--token, HF_TOKEN env, or ~/.huggingface/token)")
 	}
 
 	files, err := collectUploadFiles(cfg.InputDir)

service.go

@@ -2,6 +2,7 @@ package ml
 
 import (
 	"context"
+	"errors"
 	"fmt"
 	"iter"
 	"slices"
@@ -165,7 +166,7 @@ func (s *Service) Generate(ctx context.Context, backendName, prompt string, opts
 // ScoreResponses scores a batch of responses using the configured engine.
 func (s *Service) ScoreResponses(ctx context.Context, responses []Response) (map[string][]PromptScore, error) {
 	if s.engine == nil {
-		return nil, fmt.Errorf("scoring engine not configured (set JudgeURL and JudgeModel)")
+		return nil, errors.New("scoring engine not configured (set JudgeURL and JudgeModel)")
 	}
 	return s.engine.ScoreAll(ctx, responses), nil
 }

worker.go

@@ -3,6 +3,7 @@ package ml
 import (
 	"bytes"
 	"encoding/json"
+	"errors"
 	"fmt"
 	"io"
 	"log"
@@ -271,7 +272,7 @@ func workerInfer(cfg *WorkerConfig, task APITask) (string, error) {
 	}
 
 	if len(chatResp.Choices) == 0 {
-		return "", fmt.Errorf("no choices in response")
+		return "", errors.New("no choices in response")
 	}
 
 	content := chatResp.Choices[0].Message.Content