Files
llmgw/internal/cli/enginecheck.go
T
Ilker ManapandClaude Opus 5.5 2f595f5999 An adopted engine's state is written without its command; engine-check finds the installed build
SetCompute on an engine adopted from an earlier agent called writeState,
which read the command line from sh.cmd - nil for a process this agent did
not start - and the agent crashed at every start on the PoC's nodes until
fixed. An adopted shard now keeps the command line its state file had.

engine-check looked for llama-server one directory too shallow; the agent
installs it under <version-variant>/llama-<build>/. It now looks at both,
preferring a CUDA build on a machine with NVIDIA GPUs. Run on cuda01: a
token computed on CUDA0, 25 of 25 layers offloaded.

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
2026-10-07 14:26:28 +02:00

454 lines
15 KiB
Go

package cli
import (
"context"
"fmt"
"io"
"net"
"net/http"
"os"
"os/exec"
"path/filepath"
"sort"
"strconv"
"strings"
"sync"
"time"
"github.com/spf13/cobra"
"gitea.mynodes.xyz/ilker/llmgw/internal/agent/engines"
)
func newEngineCheckCmd() *cobra.Command {
var (
help string
bin string
nodes int
tp int
perNode int
model string
)
cmd := &cobra.Command{
Use: "engine-check <engine>",
Short: "Check that an engine still accepts the flags llmgw builds for it",
Long: "llmgw's launch arguments are read from each engine's documentation, and\n" +
"engines rename and remove flags between versions. When that happens the\n" +
"failure arrives minutes into a model load, in an engine's own error\n" +
"message, on a node nobody was watching.\n\n" +
"For llama.cpp on a machine with NVIDIA GPUs it then loads a small GGUF\n" +
"(--model, or the smallest in the weights cache) with every layer on the GPU\n" +
"and asks for one token: a build whose CUDA backend does not load computes on\n" +
"the CPU, and that is where it is caught.\n\n" +
"This asks the engine itself. It runs the engine's --help and checks every\n" +
"flag llmgw would pass against it, which needs no GPU — a CLI prints its\n" +
"help on any machine. Run it after upgrading an engine.\n\n" +
"With --help-output it reads a saved --help instead of running anything,\n" +
"so the check works from a laptop against help captured on a node.",
Args: cobra.ExactArgs(1),
RunE: func(cmd *cobra.Command, args []string) error {
name := args[0]
reg := engines.NewRegistry(engines.Config{})
eng, err := reg.Get(name)
if err != nil {
return err
}
// The binary lives where the agent's configuration says, which is
// rarely on PATH: a check that cannot find the engine reports
// nothing rather than reporting a problem.
cfg := engines.Config{}
// The build the agent installed, when none is named: the newest
// under /opt/llmgw/engines, which is where every node keeps it.
if bin == "" && name == "llamacpp" {
bin = installedLlama()
}
if bin != "" {
switch name {
case "llamacpp":
cfg.LlamaCpp.Bin = bin
case "vllm":
cfg.VLLM.Bin = bin
case "sglang":
cfg.SGLang.Python = bin
case "trtllm":
cfg.TRTLLM.Python = bin
case "sim":
cfg.Sim.Bin = bin
}
reg = engines.NewRegistry(cfg)
if eng, err = reg.Get(name); err != nil {
return err
}
}
spec := representativeShard(name, nodes, tp, perNode)
cmds, err := eng.Commands(spec)
if err != nil {
return fmt.Errorf("building a command for %s: %w", name, err)
}
out, errOut := cmd.OutOrStdout(), cmd.ErrOrStderr()
var checked, skipped int
var unknown []string
// Per command, and that distinction is the whole point. A shard can
// be several processes — vLLM under Ray is `ray start` and then
// `vllm serve` — and they are different programs with different
// vocabularies. Checking the sidecar's flags against the engine's
// help reports --head and --num-gpus as missing, which is true of
// vllm and irrelevant, because ray is what receives them.
for i, c := range cmds {
fmt.Fprintf(errOut, " %s %s\n", c.Path, strings.Join(c.Args, " "))
text := ""
switch {
case help != "" && i == len(cmds)-1:
// A supplied help belongs to the engine, which is the last
// command; the sidecars have their own and we do not have it.
text = help
case help != "":
skipped++
fmt.Fprintf(errOut, " skipped: --help-output describes the engine, not %s\n", c.Name)
continue
default:
var err error
if text, err = runHelp(cmd.Context(), eng, c); err != nil {
skipped++
fmt.Fprintf(errOut, " skipped: %v\n", err)
continue
}
}
// A truncated help produces confident nonsense: every flag below
// the cut looks missing. Real help documents --help itself,
// which is the cheapest signal that we have all of it.
if !mentions(text, "--help") {
fmt.Fprintf(errOut, " warning: this help does not document --help, "+
"which usually means it was truncated; flags below the cut will look missing\n")
}
seen := map[string]bool{}
for _, a := range c.Args {
flag, _, _ := strings.Cut(a, "=")
if !strings.HasPrefix(flag, "--") || seen[flag] {
continue
}
seen[flag] = true
checked++
if !mentions(text, flag) {
unknown = append(unknown, c.Name+": "+flag)
}
}
}
sort.Strings(unknown)
// Flags accepted is not the same as running where it is placed: a
// GPU build whose backend does not load accepts every flag and
// computes on the CPU. Asked of the engine here, not of a help.
var deviceErr error
if fb, ok := eng.(engines.CPUFallback); ok && help == "" {
deviceErr = checkDevices(cmd.Context(), name, fb, out)
// Seeing a GPU is not computing on it: a small model loaded
// on it and asked for a token is.
if b, ok := eng.(interface{ Binary() string }); ok && deviceErr == nil && model != "none" {
deviceErr = computeOnGPU(cmd.Context(), b.Binary(), model, out)
}
}
fmt.Fprintf(out, "%s: %d flags checked", name, checked)
if skipped > 0 {
fmt.Fprintf(out, ", %d commands skipped", skipped)
}
fmt.Fprintln(out)
if len(unknown) == 0 {
if checked == 0 {
return fmt.Errorf("nothing was checked; install the engine here or pass --help-output")
}
fmt.Fprintln(out, "every flag llmgw builds is accepted")
return deviceErr
}
fmt.Fprintf(out, "\n%d flags not mentioned by the program they are passed to:\n", len(unknown))
for _, f := range unknown {
fmt.Fprintf(out, " %s\n", f)
}
return fmt.Errorf("%s: %d flags are not accepted", name, len(unknown))
},
}
f := cmd.Flags()
f.StringVar(&help, "help-output", "", "a saved --help to check against, instead of running the engine")
f.StringVar(&bin, "bin", "", "where the engine lives (default: the build the agent installed, else PATH)")
f.StringVar(&model, "model", "", "a GGUF file to load on the GPU and ask for a token (default: the smallest "+
"in this node's weights cache; none skips it)")
f.IntVar(&nodes, "nodes", 2, "shape the command for a replica of this many nodes")
f.IntVar(&tp, "tp", 8, "tensor parallel degree")
f.IntVar(&perNode, "gpus-per-node", 4, "GPUs each node contributes")
return cmd
}
// representativeShard is the widest command llmgw would ever build, because a
// flag that only appears in the multi-node case is exactly the one nobody
// notices has been renamed. For an engine that runs a replica on one node,
// that is one node.
func representativeShard(engine string, nodes, tp, perNode int) engines.ShardSpec {
if nodes < 1 || engine == "trtllm" {
nodes = 1
}
return engines.ShardSpec{
ReplicaID: "check", ShardID: "check-r0", Rank: 0, NNodes: nodes,
LeaderAddr: "10.0.0.1", LeaderPort: 20001,
GPUIndices: seq(perNode), HCAs: []string{"mlx5_0"},
MgmtInterface: "eth0", HTTPPort: 20000,
Profile: engines.Profile{
Name: "check", Engine: engine, TP: tp, Nodes: nodes, GPUsPerNode: perNode,
ModelPath: "/models/x", ServedModelName: "x",
},
}
}
func seq(n int) []int {
out := make([]int, n)
for i := range out {
out[i] = i
}
return out
}
// helpArgs is how each program is asked for its *complete* help.
//
// Not every program gives it all up for --help. vLLM prints a summary listing
// section names and tells you to ask again per section; checking against that
// reports every flag as missing, confidently and wrongly. This is exactly what
// happened the first time this ran against a real vLLM.
var helpArgs = map[string][]string{
"vllm": {"--help=all"},
}
// runHelp asks one program to describe itself.
func runHelp(ctx context.Context, eng engines.Engine, c engines.Command) (string, error) {
// Everything up to the first flag, plus the help request. Passing the real
// arguments would start the engine.
path := c.Path
var args []string
for _, a := range c.Args {
if strings.HasPrefix(a, "-") {
break
}
args = append(args, a)
}
ask, ok := helpArgs[filepath.Base(c.Path)]
if !ok {
ask = []string{"--help"}
}
args = append(args, ask...)
// An engine started through a launcher of llmgw's is asked through its
// own entry point: the interpreter's --help describes the interpreter.
if h, ok := eng.(engines.HelpCommand); ok {
path, args = h.HelpCommand(c)
}
ctx, cancel := context.WithTimeout(ctx, 2*time.Minute)
defer cancel()
ec := exec.CommandContext(ctx, path, args...)
// vLLM refuses to do anything at all on a machine with no accelerator,
// including print its help, unless it is told what to assume. Asking an
// engine about its flags should not require the hardware it runs on.
ec.Env = append(ec.Environ(), "VLLM_TARGET_DEVICE=cpu")
raw, err := ec.CombinedOutput()
if err != nil && len(raw) == 0 {
return "", fmt.Errorf("could not run %s: %w (install it here, or pass --help-output)",
path, err)
}
return string(raw), nil
}
// mentions reports whether the help text documents a flag.
//
// Matched on a word boundary, so --port does not satisfy --port-range and a
// missing flag cannot hide behind a longer one that happens to contain it.
func mentions(help, flag string) bool {
for i := 0; ; {
j := strings.Index(help[i:], flag)
if j < 0 {
return false
}
end := i + j + len(flag)
if end == len(help) || !isFlagChar(help[end]) {
return true
}
i = end
}
}
func isFlagChar(b byte) bool {
return b == '-' || b == '_' || (b >= 'a' && b <= 'z') ||
(b >= 'A' && b <= 'Z') || (b >= '0' && b <= '9')
}
// checkDevices says which GPUs an engine that can fall back to the CPU sees on
// this machine, and fails when the machine has NVIDIA GPUs and it sees none.
func checkDevices(ctx context.Context, name string, fb engines.CPUFallback, out io.Writer) error {
if _, err := exec.LookPath("nvidia-smi"); err != nil {
fmt.Fprintln(out, "no NVIDIA GPU here: which devices it computes on was not checked")
return nil
}
devs, err := fb.Devices(ctx)
if err != nil {
return err
}
if len(devs) == 0 {
return fmt.Errorf("this machine has NVIDIA GPUs and %s sees none: it would serve a GPU placement on the CPU. "+
"Its GPU backend did not load; ldd on its libggml-cuda.so names the missing library", name)
}
fmt.Fprintf(out, "computes on: %s\n", strings.Join(devs, "; "))
return nil
}
// llamaRoot is where the agent installs llama.cpp builds.
var llamaRoot = "/opt/llmgw/engines/llamacpp"
// installedLlama is the llama-server the agent installed here: under
// llamaRoot/<version-variant>/llama-<build>/, or one level up for older
// layouts; on a machine with NVIDIA GPUs a CUDA build first, then the newest.
func installedLlama() string {
var found []string
for _, pat := range []string{"*/llama-server", "*/*/llama-server"} {
m, _ := filepath.Glob(filepath.Join(llamaRoot, pat))
found = append(found, m...)
}
if len(found) == 0 {
return ""
}
sort.Strings(found)
if _, err := exec.LookPath("nvidia-smi"); err == nil {
for i := len(found) - 1; i >= 0; i-- {
if strings.Contains(found[i], "cuda") {
return found[i]
}
}
}
return found[len(found)-1]
}
// weightDirs are where a node keeps models it has fetched.
var weightDirs = []string{"/var/lib/llmgw-weights", "/var/lib/llmgw-models", "/srv/models"}
// smallestGGUF is the smallest GGUF file under dirs, for a check that only
// needs something to load.
func smallestGGUF(dirs []string) string {
best, size := "", int64(0)
for _, d := range dirs {
_ = filepath.WalkDir(d, func(p string, e os.DirEntry, err error) error {
if err != nil || e.IsDir() || !strings.HasSuffix(strings.ToLower(p), ".gguf") ||
strings.Contains(strings.ToLower(filepath.Base(p)), "mmproj") {
return nil
}
if info, err := e.Info(); err == nil && (best == "" || info.Size() < size) {
best, size = p, info.Size()
}
return nil
})
}
return best
}
// computeOnGPU loads a model with every layer on the GPU, asks for one
// token, and reads from llama.cpp's own output where the layers went.
func computeOnGPU(ctx context.Context, bin, model string, out io.Writer) error {
if _, err := exec.LookPath("nvidia-smi"); err != nil {
return nil
}
if model == "" {
if model = smallestGGUF(weightDirs); model == "" {
fmt.Fprintln(out, "no GGUF in this node's weights cache to compute with; --model PATH runs one")
return nil
}
}
ln, err := net.Listen("tcp", "127.0.0.1:0")
if err != nil {
return err
}
port := ln.Addr().(*net.TCPAddr).Port
_ = ln.Close()
ctx, cancel := context.WithTimeout(ctx, 3*time.Minute)
defer cancel()
var logs syncBuffer
c := exec.CommandContext(ctx, bin, "-m", model, "--host", "127.0.0.1", "--port", strconv.Itoa(port), //nolint:gosec // the engine's own binary
"--n-gpu-layers", "999", "--ctx-size", "512", "--parallel", "1",
// Where the layers went is said only at this verbosity.
"-lv", "4")
c.Stdout, c.Stderr = &logs, &logs
if err := c.Start(); err != nil {
return fmt.Errorf("starting %s: %w", bin, err)
}
defer func() { _ = c.Process.Kill(); _ = c.Wait() }()
base := "http://127.0.0.1:" + strconv.Itoa(port)
start := time.Now()
for {
resp, err := http.Get(base + "/health") //nolint:gosec,noctx // loopback, bounded by the loop
if err == nil {
_ = resp.Body.Close()
if resp.StatusCode == http.StatusOK {
break
}
}
if ctx.Err() != nil {
return fmt.Errorf("%s did not come up with %s: %s", bin, filepath.Base(model), tailLines(logs.String(), 5))
}
time.Sleep(500 * time.Millisecond)
}
req, _ := http.NewRequestWithContext(ctx, http.MethodPost, base+"/completion",
strings.NewReader(`{"prompt":"Hello","n_predict":1}`))
req.Header.Set("Content-Type", "application/json")
resp, err := http.DefaultClient.Do(req)
if err != nil {
return fmt.Errorf("asking it for a token: %w", err)
}
_ = resp.Body.Close()
took := time.Since(start)
comp, said := engines.ReadLlamaCompute(strings.Split(logs.String(), "\n"))
if !said {
fmt.Fprintf(out, "computed a token with %s, but llama.cpp did not say where\n", filepath.Base(model))
return nil
}
if comp.OnTheCPU() {
return fmt.Errorf("%s computed on the CPU though every layer was asked for on the GPU (%d of %d offloaded): "+
"its CUDA backend did not load; ldd on its libggml-cuda.so names the missing library",
filepath.Base(model), comp.Offloaded, comp.Total)
}
fmt.Fprintf(out, "computed a token on %s: %s, %d of %d layers offloaded, in %s\n", comp.Backend,
strings.Join(comp.Devices, "; "), comp.Offloaded, comp.Total, took.Round(100*time.Millisecond))
return nil
}
func tailLines(s string, n int) string {
l := strings.Split(strings.TrimSpace(s), "\n")
if len(l) > n {
l = l[len(l)-n:]
}
return strings.Join(l, " | ")
}
// syncBuffer is a buffer two writers share.
type syncBuffer struct {
mu sync.Mutex
b strings.Builder
}
func (s *syncBuffer) Write(p []byte) (int, error) {
s.mu.Lock()
defer s.mu.Unlock()
return s.b.Write(p)
}
func (s *syncBuffer) String() string {
s.mu.Lock()
defer s.mu.Unlock()
return s.b.String()
}