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https://github.com/mudler/LocalAI.git
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localai-org-maint-botandEttore Di Giacinto
c0b7e64973
On a single-node install nothing in Operate listed the models loaded on this machine or let an admin stop one. The System page that did was retired in #11548, and its replacements (the Nodes workbench) only work in distributed mode. The Nodes page also mis-detected single-node mode: the cluster routes are not registered there, so /api/nodes answers 404, but only 503 was treated as "distributed off", which sent every single-node install to the empty worker-registration card. The rail hid the entry anyway. Nodes route on a single node becomes "This machine": - the Nodes page's VRAM / RAM / CPU / models-disk gauges, fed from this host by mapping /api/resources onto the worker heartbeat fields - a memory bar splitting host RAM by running model - a running-models table (backend, RSS, CPU share, uptime, PID) with search, sorting, logs and a confirmed Stop - the distributed setup behind an "Add machines" button The Operate overview gains a "Running now" preview (heaviest five, with Stop) on single node and a pointer to Nodes > Running models on a cluster. The rail shows "This machine" in Runtime with a running count. Backend, additive only: - /system: each loaded model carries a `process` block (pid, rss_bytes, memory_percent, cpu_percent, started_at). A sampler keeps one gopsutil handle per PID so CPU is the share since the previous poll rather than the lifetime average; it is omitted on the first reading. - /api/resources: host `cpu` and models-path `disk`, the same readings workers send in their heartbeat. Also fixes the fleet tables widening the page on phones: the headers' absolutely positioned sr-only labels escaped the scroll wrapper. Assisted-by: Claude:claude-opus-5 [Playwright] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
72 lines
2.1 KiB
Go
72 lines
2.1 KiB
Go
package localai
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import (
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"strconv"
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"github.com/labstack/echo/v4"
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"github.com/mudler/LocalAI/core/config"
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"github.com/mudler/LocalAI/core/schema"
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"github.com/mudler/LocalAI/core/services/monitoring"
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"github.com/mudler/LocalAI/pkg/model"
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)
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// SystemInformations returns the system informations
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// @Summary Show the LocalAI instance information
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// @Tags monitoring
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// @Success 200 {object} schema.SystemInformationResponse "Response"
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// @Router /system [get]
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func SystemInformations(cl *config.ModelConfigLoader, ml *model.ModelLoader, appConfig *config.ApplicationConfig, sampler *monitoring.LocalProcessSampler) echo.HandlerFunc {
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return func(c echo.Context) error {
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availableBackends := []string{}
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loadedModels := ml.ListLoadedModels()
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for b := range appConfig.ExternalGRPCBackends {
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availableBackends = append(availableBackends, b)
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}
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for b := range ml.GetAllExternalBackends(nil) {
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availableBackends = append(availableBackends, b)
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}
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sysmodels := []schema.SysInfoModel{}
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live := map[int32]struct{}{}
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for _, m := range loadedModels {
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entry := schema.SysInfoModel{ID: m.ID}
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// The loader tracks only the ID. Which engine is serving a model is
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// the first thing an operator wants beside its name, and it is one
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// config lookup away.
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if cfg, ok := cl.GetModelConfig(m.ID); ok {
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entry.Backend = cfg.Backend
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}
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if pid, ok := localPID(m); ok && sampler != nil {
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live[pid] = struct{}{}
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if proc, err := sampler.Sample(pid); err == nil {
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entry.Process = proc
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}
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}
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sysmodels = append(sysmodels, entry)
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}
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if sampler != nil {
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sampler.Retain(live)
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}
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return c.JSON(200,
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schema.SystemInformationResponse{
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Backends: availableBackends,
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Models: sysmodels,
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},
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)
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}
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}
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// localPID is the PID of the backend process this host started for m. A model
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// served by a remote worker, or through an external gRPC address, has none.
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func localPID(m *model.Model) (int32, bool) {
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p := m.Process()
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if p == nil {
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return 0, false
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}
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pid, err := strconv.ParseInt(p.CurrentPID(), 10, 32)
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if err != nil || pid <= 0 {
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return 0, false
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}
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return int32(pid), true
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}
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