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Follow-up to #11288, which warmed the VRAM estimate caches at startup and left the variant picker paying its own way. Describing an entry's variants probes the weight files of every build it offers, so the first time a model is opened costs 1.2-1.9s against a cold cache. That is the same cost as an estimate wearing a different hat, and it lands in the same caches underneath, so it belongs in the same pass rather than in a second mechanism. The warm-up now describes variants for the entries it walks. Entries that declare none cost nothing: the call is gated on HasVariants rather than attempted and discarded. The host resolve env is derived once for the run, since it describes the machine rather than the entry. Failure handling matches the estimate half. An entry whose variants cannot be described is logged at debug and skipped, and the estimate for that same entry is unaffected, because neither half is allowed to fail the other. Measured against a live instance with 1,595 models, first ever call to /api/models/variants/:id after a cold boot: before 1.2-1.9s after 2ms The warm-up's own cost barely moves: 3m0s to 3m19s for 300 entries, of which 40 declared variants. It stays bounded by the same knobs, and LOCALAI_VRAM_WARM_LIMIT=0 still turns the whole thing off. Assisted-by: Claude:claude-opus-5 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
212 lines
6.9 KiB
Go
212 lines
6.9 KiB
Go
package gallery
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import (
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"context"
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"os"
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"strconv"
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"strings"
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"sync"
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"time"
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"github.com/mudler/LocalAI/core/config"
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"github.com/mudler/LocalAI/pkg/system"
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"github.com/mudler/LocalAI/pkg/vram"
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"github.com/mudler/xlog"
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)
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// EstimateInput builds the VRAM estimator's input from a gallery entry.
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//
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// It lives here rather than beside the HTTP handler because two callers need
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// it: the handler answering one model, and the warmer below answering all of
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// them ahead of time.
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func EstimateInput(m *GalleryModel) vram.ModelEstimateInput {
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var input vram.ModelEstimateInput
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input.Size = m.Size
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if repoID := extractHFRepo(m.Overrides, m.URLs); repoID != "" {
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input.HFRepo = repoID
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}
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for _, f := range m.AdditionalFiles {
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if vram.IsWeightFile(f.URI) {
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input.Files = append(input.Files, vram.FileInput{URI: f.URI, Size: 0})
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}
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}
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return input
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}
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// extractHFRepo finds a HuggingFace repo ID in a model's overrides or URLs.
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func extractHFRepo(overrides map[string]any, urls []string) string {
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if overrides != nil {
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if params, ok := overrides["parameters"].(map[string]any); ok {
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if modelRef, ok := params["model"].(string); ok {
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if repoID, ok := vram.ExtractHFRepoID(modelRef); ok {
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return repoID
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}
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}
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}
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}
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for _, u := range urls {
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if repoID, ok := vram.ExtractHFRepoID(u); ok {
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return repoID
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}
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}
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return ""
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}
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// EstimateWarmConfig bounds the background warm-up.
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type EstimateWarmConfig struct {
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// Limit is how many gallery entries to warm, in gallery order. Zero
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// disables warming entirely. The order matters: it is the order the UI
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// lists them in, so the entries a user sees first are warmed first.
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Limit int
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// Concurrency is how many estimates run at once. Each one can be a remote
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// probe, so this is deliberately small: the point is to be finished before
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// anybody looks, not to saturate the link or the upstream.
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Concurrency int
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// Contexts are the context lengths to estimate at. These want to match what
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// the UI asks for, or the warmed entry is not the one it reads.
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Contexts []uint32
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}
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// DefaultEstimateWarmConfig is what the server uses unless told otherwise.
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//
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// The limit is a deliberate compromise. Warming the whole gallery would be
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// thousands of remote probes on every boot, which is rude to the upstream and
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// slow to finish; warming nothing leaves the first page of the model gallery
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// paying two seconds per row. A few hundred covers what anyone browses in a
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// sitting, and everything past it still warms itself on first view.
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var DefaultEstimateWarmConfig = EstimateWarmConfig{
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Limit: 300,
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Concurrency: 4,
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Contexts: []uint32{8192, 16384, 32768, 65536, 131072, 262144},
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}
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// WarmEstimateCache fills the gallery's derived caches in the background.
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//
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// Two things are warmed, and they are the same cost wearing different hats.
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// An estimate for an entry the server has never seen costs a network probe of
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// its weight files, and describing an entry's variants costs one probe per
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// build it offers. The UI asks for an estimate per row and a variant
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// description per model opened, so without this the first visitor pays for
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// both: ten seconds of a page filling in its own sizes, then another second
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// and a half the first time they click anything.
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//
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// Both land in the same caches underneath, which is why one pass covers them.
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//
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// It returns immediately; the work happens on its own goroutine and stops when
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// ctx is done. Failures are logged at debug and otherwise ignored: a warm-up
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// that cannot reach an upstream must never stop the server from starting, and
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// the entry it failed on simply stays cold.
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func WarmEstimateCache(ctx context.Context, galleries []config.Gallery, systemState *system.SystemState, cfg EstimateWarmConfig) {
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if cfg.Limit <= 0 || cfg.Concurrency <= 0 {
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return
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}
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go func() {
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started := time.Now()
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models, err := AvailableGalleryModelsCached(galleries, systemState)
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if err != nil {
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xlog.Debug("VRAM estimate warm-up skipped, gallery unavailable", "error", err)
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return
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}
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if len(models) > cfg.Limit {
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models = models[:cfg.Limit]
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}
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if len(models) == 0 {
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return
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}
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// The host gate the variant picker resolves against. Derived once: it
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// describes this machine, not this entry, and HostResolveEnv reads the
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// system state to build it.
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env := HostResolveEnv(ctx, systemState)
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var (
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wg sync.WaitGroup
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cursor = make(chan *GalleryModel)
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warmed int
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warmedVariants int
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mu sync.Mutex
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)
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for i := 0; i < cfg.Concurrency; i++ {
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wg.Add(1)
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go func() {
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defer wg.Done()
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for m := range cursor {
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// Per entry, not for the run: one unreachable weight file
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// must not hold a worker for the whole warm-up.
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entryCtx, cancel := context.WithTimeout(ctx, 30*time.Second)
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input := EstimateInput(m)
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if len(input.Files) > 0 || input.HFRepo != "" || input.Size != "" {
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if _, err := vram.EstimateModelMultiContext(entryCtx, input, cfg.Contexts); err != nil {
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xlog.Debug("VRAM estimate warm-up failed for entry", "model", m.GetName(), "error", err)
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} else {
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mu.Lock()
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warmed++
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mu.Unlock()
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}
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}
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// Describing variants probes each build the entry offers.
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// An entry that declares none costs nothing here, so this is
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// gated rather than attempted and discarded.
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if m.HasVariants() {
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if _, err := DescribeVariants(models, m, env); err != nil {
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xlog.Debug("variant warm-up failed for entry", "model", m.GetName(), "error", err)
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} else {
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mu.Lock()
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warmedVariants++
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mu.Unlock()
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}
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}
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cancel()
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}
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}()
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}
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feed:
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for _, m := range models {
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select {
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case <-ctx.Done():
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break feed
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case cursor <- m:
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}
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}
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close(cursor)
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wg.Wait()
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if ctx.Err() != nil {
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xlog.Debug("gallery warm-up stopped", "estimates", warmed, "variants", warmedVariants)
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return
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}
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xlog.Info("gallery caches warmed", "estimates", warmed, "variants", warmedVariants, "of", len(models), "took", time.Since(started).Round(time.Second))
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}()
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}
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// EstimateWarmConfigFromEnv reads the warm-up bounds from the environment,
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// falling back to the defaults.
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//
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// LOCALAI_VRAM_WARM_LIMIT entries to warm; 0 disables the warm-up
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// LOCALAI_VRAM_WARM_CONCURRENCY estimates in flight at once
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//
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// Env rather than a flag because it is an operational tuning knob, not part of
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// what the server does: an air-gapped host wants it off, and a host behind a
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// slow link wants it slower, and neither is a decision the CLI should carry.
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func EstimateWarmConfigFromEnv() EstimateWarmConfig {
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cfg := DefaultEstimateWarmConfig
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if v, ok := os.LookupEnv("LOCALAI_VRAM_WARM_LIMIT"); ok {
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if n, err := strconv.Atoi(strings.TrimSpace(v)); err == nil && n >= 0 {
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cfg.Limit = n
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}
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}
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if v, ok := os.LookupEnv("LOCALAI_VRAM_WARM_CONCURRENCY"); ok {
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if n, err := strconv.Atoi(strings.TrimSpace(v)); err == nil && n > 0 {
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cfg.Concurrency = n
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}
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}
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return cfg
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}
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