package discover

// Runner based GPU discovery

import (
	"context"
	"log/slog"
	"os/exec"
	"path/filepath"
	"runtime"
	"sort"
	"strconv"
	"strings"
	"sync"
	"time"

	"github.com/ollama/ollama/envconfig"
	"github.com/ollama/ollama/format"
	"github.com/ollama/ollama/llm"
	"github.com/ollama/ollama/logutil"
	"github.com/ollama/ollama/ml"
)

var (
	deviceMu     sync.Mutex
	devices      []ml.DeviceInfo
	libDirs      map[string]struct{}
	bootstrapped bool
)

func GPUDevices(ctx context.Context, runners []ml.FilteredRunnerDiscovery) []ml.DeviceInfo {
	deviceMu.Lock()
	defer deviceMu.Unlock()
	startDiscovery := time.Now()
	msg := "overall device VRAM discovery took"
	defer func() {
		slog.Debug(msg, "duration", time.Since(startDiscovery))
	}()

	if !bootstrapped {
		msg = "GPU bootstrap discovery took"
		libDirs = make(map[string]struct{})
		files, err := filepath.Glob(filepath.Join(ml.LibOllamaPath, "*", "*ggml-*"))
		if err != nil {
			slog.Debug("unable to lookup runner library directories", "error", err)
		}
		for _, file := range files {
			libDirs[filepath.Dir(file)] = struct{}{}
		}

		if len(libDirs) == 0 {
			libDirs[""] = struct{}{}
		}

		slog.Info("discovering available GPUs...")
		detectIncompatibleLibraries()
		detectOldAMDDriverWindows()

		// Warn if any user-overrides are set which could lead to incorrect GPU discovery
		overrideWarnings()

		requested := envconfig.LLMLibrary()
		jetpack := cudaJetpack()

		// For our initial discovery pass, we gather all the known GPUs through
		// all the libraries that were detected. This pass may include GPUs that
		// are enumerated, but not actually supported.
		// We run this in serial to avoid potentially initializing a GPU multiple
		// times concurrently leading to memory contention
		for dir := range libDirs {
			// Typically bootstrapping takes < 1s, but on some systems, with devices
			// in low power/idle mode, initialization can take multiple seconds.  We
			// set a longer timeout just for bootstrap discovery to reduce the chance
			// of giving up too quickly
			bootstrapTimeout := 30 * time.Second
			if runtime.GOOS == "windows" {
				// On Windows with Defender enabled, AV scanning of the DLLs
				// takes place sequentially and this can significantly increase
				// the time it takes too do the initial discovery pass.
				// Subsequent loads will be faster as the scan results are
				// cached
				bootstrapTimeout = 90 * time.Second
			}
			var dirs []string
			if dir != "" {
				if requested != "" && !strings.HasPrefix(requested, "mlx_") && filepath.Base(dir) != requested {
					slog.Debug("skipping available library at user's request", "requested", requested, "libDir", dir)
					continue
				} else if jetpack != "" && filepath.Base(dir) != "cuda_"+jetpack {
					continue
				} else if jetpack == "" && strings.Contains(filepath.Base(dir), "cuda_jetpack") {
					slog.Debug("jetpack not detected (set JETSON_JETPACK or OLLAMA_LLM_LIBRARY to override), skipping", "libDir", dir)
					continue
				} else if !envconfig.EnableVulkan(true) && strings.Contains(filepath.Base(dir), "vulkan") {
					continue
				}
				dirs = []string{ml.LibOllamaPath, dir}
			} else {
				dirs = []string{ml.LibOllamaPath}
			}

			ctx1stPass, cancel := context.WithTimeout(ctx, bootstrapTimeout)
			// For this pass, we retain duplicates in case any are incompatible with some libraries
			discovered := bootstrapDevicesWithMetalRetry(ctx1stPass, ctx, bootstrapTimeout, dirs, nil)
			if filepath.Base(dirs[len(dirs)-1]) == "cuda_v12" {
				discovered = filterOldCUDADriver(ctx, discovered)
			}
			devices = append(devices, discovered...)
			cancel()
		}

		devices = filterIntegratedGPUs(devices)

		// In the second pass, we more deeply initialize the GPUs to weed out devices that
		// aren't supported by a given library.  We run this phase in parallel to speed up discovery.
		// Only devices that need verification are included in this pass
		slog.Debug("evaluating which, if any, devices to filter out", "initial_count", len(devices))
		ctx2ndPass, cancel := context.WithTimeout(ctx, 30*time.Second)
		defer cancel()
		var wg sync.WaitGroup
		needsDelete := make([]bool, len(devices))
		supportedMu := sync.Mutex{}
		supported := make(map[string]map[string]map[string]int) // [Library][libDir][ID] = pre-deletion devices index
		for i := range devices {
			libDir := devices[i].LibraryPath[len(devices[i].LibraryPath)-1]
			if !devices[i].NeedsInitValidation() {
				// No need to validate, add to the supported map
				supportedMu.Lock()
				if _, ok := supported[devices[i].Library]; !ok {
					supported[devices[i].Library] = make(map[string]map[string]int)
				}
				if _, ok := supported[devices[i].Library][libDir]; !ok {
					supported[devices[i].Library][libDir] = make(map[string]int)
				}
				supported[devices[i].Library][libDir][devices[i].ID] = i
				supportedMu.Unlock()
				continue
			}
			slog.Debug("verifying if device is supported", "library", libDir, "description", devices[i].Description, "compute", devices[i].Compute(), "id", devices[i].ID, "pci_id", devices[i].PCIID)
			wg.Add(1)
			go func(i int) {
				defer wg.Done()
				extraEnvs := ml.GetDevicesEnv(devices[i : i+1])
				devices[i].AddInitValidation(extraEnvs)
				if len(bootstrapDevicesWithMetalRetry(ctx2ndPass, ctx, 30*time.Second, devices[i].LibraryPath, extraEnvs)) == 0 {
					slog.Debug("filtering device which didn't fully initialize",
						"id", devices[i].ID,
						"libdir", devices[i].LibraryPath[len(devices[i].LibraryPath)-1],
						"pci_id", devices[i].PCIID,
						"library", devices[i].Library,
					)
					needsDelete[i] = true
				} else {
					supportedMu.Lock()
					if _, ok := supported[devices[i].Library]; !ok {
						supported[devices[i].Library] = make(map[string]map[string]int)
					}
					if _, ok := supported[devices[i].Library][libDir]; !ok {
						supported[devices[i].Library][libDir] = make(map[string]int)
					}
					supported[devices[i].Library][libDir][devices[i].ID] = i
					supportedMu.Unlock()
				}
			}(i)
		}
		wg.Wait()
		logutil.Trace("supported GPU library combinations before filtering", "supported", supported)

		// Mark for deletion any overlaps - favoring the library version that can cover all GPUs if possible
		filterOverlapByLibrary(supported, needsDelete)

		// Any Libraries that utilize numeric IDs need adjusting based on any possible filtering taking place
		postFilteredID := map[string]int{}
		for i := 0; i < len(needsDelete); i++ {
			if needsDelete[i] {
				logutil.Trace("removing unsupported or overlapping GPU combination", "libDir", devices[i].LibraryPath[len(devices[i].LibraryPath)-1], "description", devices[i].Description, "compute", devices[i].Compute(), "pci_id", devices[i].PCIID)
				devices = append(devices[:i], devices[i+1:]...)
				needsDelete = append(needsDelete[:i], needsDelete[i+1:]...)
				i--
			} else {
				if _, ok := postFilteredID[devices[i].Library]; !ok {
					postFilteredID[devices[i].Library] = 0
				}
				if _, err := strconv.Atoi(devices[i].ID); err == nil {
					// Replace the numeric ID with the post-filtered IDs
					slog.Debug("adjusting filtering IDs", "FilterID", devices[i].ID, "new_ID", strconv.Itoa(postFilteredID[devices[i].Library]))
					devices[i].FilterID = devices[i].ID
					devices[i].ID = strconv.Itoa(postFilteredID[devices[i].Library])
				}
				remapFilterIDForUserVisibleDevices(&devices[i])
				postFilteredID[devices[i].Library]++
			}
		}

		// Now filter out any overlap with different libraries (favor CUDA/HIP over others)
		for i := 0; i < len(devices); i++ {
			for j := i + 1; j < len(devices); j++ {
				// For this pass, we only drop exact duplicates
				switch devices[i].Compare(devices[j]) {
				case ml.SameBackendDevice:
					// Same library and device, skip it
					devices = append(devices[:j], devices[j+1:]...)
					j--
					continue
				case ml.DuplicateDevice:
					// Different library, choose based on priority
					var droppedDevice ml.DeviceInfo
					if devices[i].PreferredLibrary(devices[j]) {
						droppedDevice = devices[j]
					} else {
						droppedDevice = devices[i]
						devices[i] = devices[j]
					}
					devices = append(devices[:j], devices[j+1:]...)
					j--

					typeStr := "discrete"
					if droppedDevice.Integrated {
						typeStr = "iGPU"
					}
					slog.Debug("dropping duplicate device",
						"id", droppedDevice.ID,
						"library", droppedDevice.Library,
						"compute", droppedDevice.Compute(),
						"name", droppedDevice.Name,
						"description", droppedDevice.Description,
						"libdirs", strings.Join(droppedDevice.LibraryPath, ","),
						"driver", droppedDevice.Driver(),
						"pci_id", droppedDevice.PCIID,
						"type", typeStr,
						"total", format.HumanBytes2(droppedDevice.TotalMemory),
						"available", format.HumanBytes2(droppedDevice.FreeMemory),
					)
					continue
				}
			}
		}

		// Reset the libDirs to what we actually wind up using for future refreshes
		libDirs = make(map[string]struct{})
		for _, dev := range devices {
			dir := dev.LibraryPath[len(dev.LibraryPath)-1]
			if dir != ml.LibOllamaPath {
				libDirs[dir] = struct{}{}
			}
		}
		if len(libDirs) == 0 {
			libDirs[""] = struct{}{}
		}

		bootstrapped = true
	} else {
		if runtime.GOOS == "darwin" && runtime.GOARCH == "arm64" {
			// metal never updates free VRAM
			return append([]ml.DeviceInfo{}, devices...)
		}

		slog.Debug("refreshing free memory")
		updated := make([]bool, len(devices))
		allDone := func() bool {
			allDone := true
			for _, done := range updated {
				if !done {
					allDone = false
					break
				}
			}
			return allDone
		}

		// First try to use existing runners to refresh VRAM since they're already
		// active on GPU(s)
		for _, runner := range runners {
			if runner == nil {
				continue
			}
			deviceIDs := runner.GetActiveDeviceIDs()
			if len(deviceIDs) == 0 {
				// Skip this runner since it doesn't have active GPU devices
				continue
			}

			// Check to see if this runner is active on any devices that need a refresh
			skip := true
		devCheck:
			for _, dev := range deviceIDs {
				for i := range devices {
					if dev == devices[i].DeviceID {
						if !updated[i] {
							skip = false
							break devCheck
						}
					}
				}
			}
			if skip {
				continue
			}

			// Typical refresh on existing runner is ~500ms but allow longer if the system
			// is under stress before giving up and using stale data.
			ctx, cancel := context.WithTimeout(ctx, 3*time.Second)
			defer cancel()
			start := time.Now()
			updatedDevices := runner.GetDeviceInfos(ctx)
			slog.Debug("existing runner discovery took", "duration", time.Since(start))
			for _, u := range updatedDevices {
				for i := range devices {
					if u.DeviceID == devices[i].DeviceID {
						updated[i] = true
						devices[i].FreeMemory = u.FreeMemory
						break
					}
				}
			}
			// Short circuit if we've updated all the devices
			if allDone() {
				break
			}
		}
		if !allDone() {
			slog.Debug("unable to refresh all GPUs with existing runners, performing bootstrap discovery")

			// Bootstrapping may take longer in some cases (AMD windows), but we
			// would rather use stale free data to get the model running sooner
			rctx, cancel := context.WithTimeout(ctx, 3*time.Second)
			defer cancel()

			// Apply any device filters to avoid re-discovering unsupported devices
			// and keep remapped IDs aligned.
			devFilter := ml.GetDevicesEnv(devices)

			for dir := range libDirs {
				updatedDevices := bootstrapDevicesWithMetalRetry(rctx, ctx, 3*time.Second, []string{ml.LibOllamaPath, dir}, devFilter)
				for _, u := range updatedDevices {
					for i := range devices {
						if sameRefreshDevice(u, devices[i]) {
							updated[i] = true
							devices[i].FreeMemory = u.FreeMemory
							break
						}
					}
					// TODO - consider evaluating if new devices have appeared (e.g. hotplug)
				}
				if allDone() {
					break
				}
			}
			if !allDone() {
				slog.Warn("unable to refresh free memory, using old values")
			}
		}
	}

	return append([]ml.DeviceInfo{}, devices...)
}

func sameRefreshDevice(updated, existing ml.DeviceInfo) bool {
	if updated.Library != existing.Library {
		return false
	}
	if updated.PCIID != "" && existing.PCIID != "" {
		return strings.EqualFold(updated.PCIID, existing.PCIID)
	}
	return updated.DeviceID == existing.DeviceID
}

func filterIntegratedGPUs(devices []ml.DeviceInfo) []ml.DeviceInfo {
	if runtime.GOOS == "darwin" && runtime.GOARCH == "arm64" {
		return devices
	}

	allow, explicit := integratedGPUAdmission()
	filtered := devices[:0]
	for _, device := range devices {
		if !device.Integrated {
			filtered = append(filtered, device)
			continue
		}

		if explicit {
			if allow {
				filtered = append(filtered, device)
				continue
			}
		} else if integratedGPUAllowedByDefault(device) {
			filtered = append(filtered, device)
			continue
		}

		slog.Info("dropping integrated GPU",
			"id", device.ID,
			"library", device.Library,
			"compute", device.Compute(),
			"name", device.Name,
			"description", device.Description,
			"pci_id", device.PCIID)
	}

	return filtered
}

func integratedGPUAdmission() (allow, explicit bool) {
	enabledWithTrueDefault := envconfig.EnableIntegratedGPU(true)
	enabledWithFalseDefault := envconfig.EnableIntegratedGPU(false)
	if enabledWithTrueDefault == enabledWithFalseDefault {
		return enabledWithTrueDefault, true
	}
	return false, false
}

func integratedGPUAllowedByDefault(device ml.DeviceInfo) bool {
	return device.Library == "CUDA"
}

func filterOverlapByLibrary(supported map[string]map[string]map[string]int, needsDelete []bool) {
	// For multi-GPU systems, use the newest version that supports all the GPUs
	for _, byLibDirs := range supported {
		libDirs := make([]string, 0, len(byLibDirs))
		for libDir := range byLibDirs {
			libDirs = append(libDirs, libDir)
		}
		sort.Sort(sort.Reverse(sort.StringSlice(libDirs)))
		anyMissing := false
		var newest string
		for _, newest = range libDirs {
			for _, libDir := range libDirs {
				if libDir == newest {
					continue
				}
				if len(byLibDirs[newest]) != len(byLibDirs[libDir]) {
					anyMissing = true
					break
				}
				for dev := range byLibDirs[newest] {
					if _, found := byLibDirs[libDir][dev]; !found {
						anyMissing = true
						break
					}
				}
			}
			if !anyMissing {
				break
			}
		}
		// Now we can mark overlaps for deletion
		for _, libDir := range libDirs {
			if libDir == newest {
				continue
			}
			for dev, i := range byLibDirs[libDir] {
				if _, found := byLibDirs[newest][dev]; found {
					slog.Debug("filtering device with overlapping libraries",
						"id", dev,
						"library", libDir,
						"delete_index", i,
						"kept_library", newest,
					)
					needsDelete[i] = true
				}
			}
		}
	}
}

func bootstrapDevicesWithMetalRetry(firstAttemptCtx, retryParentCtx context.Context, timeout time.Duration, ollamaLibDirs []string, extraEnvs map[string]string) []ml.DeviceInfo {
	extraEnvs = normalizeDiscoveryEnv(ollamaLibDirs, extraEnvs)

	runDiscovery := func(ctx context.Context, extraEnvs map[string]string) ([]ml.DeviceInfo, *llm.StatusWriter, error) {
		start := time.Now()
		defer func() {
			slog.Debug("bootstrap discovery took", "duration", time.Since(start), "OLLAMA_LIBRARY_PATH", ollamaLibDirs, "extra_envs", extraEnvs)
		}()
		return bootstrapDevicesWithStatusWatchdog(ctx, ollamaLibDirs, extraEnvs)
	}

	devices, status, err := runDiscovery(firstAttemptCtx, extraEnvs)
	if err == nil {
		recordPersistentRunnerEnv(devices, extraEnvs)
		return devices
	}

	if llm.ShouldRetryWithMetalTensorDisabled(err, status) && (extraEnvs == nil || extraEnvs["GGML_METAL_TENSOR_DISABLE"] != "1") {
		retryEnvs := map[string]string{}
		for k, v := range extraEnvs {
			retryEnvs[k] = v
		}
		retryEnvs["GGML_METAL_TENSOR_DISABLE"] = "1"
		slog.Warn("retrying llama-server GPU discovery with Metal tensor API disabled", "error", err, "detail", lastDiscoveryStatusError(status))

		retryCtx, cancel := context.WithTimeout(retryParentCtx, timeout)
		defer cancel()
		devices, status, err = runDiscovery(retryCtx, retryEnvs)
		if err == nil {
			recordPersistentRunnerEnv(devices, retryEnvs)
			return devices
		}
	}

	slog.Info("failure during llama-server GPU discovery", "OLLAMA_LIBRARY_PATH", ollamaLibDirs, "extra_envs", extraEnvs, "error", err, "detail", lastDiscoveryStatusError(status))
	return devices
}

func normalizeDiscoveryEnv(ollamaLibDirs []string, extraEnvs map[string]string) map[string]string {
	return normalizeDiscoveryEnvForGOOS(runtime.GOOS, ollamaLibDirs, extraEnvs)
}

func normalizeDiscoveryEnvForGOOS(goos string, ollamaLibDirs []string, extraEnvs map[string]string) map[string]string {
	if goos != "linux" || len(ollamaLibDirs) == 0 || !isROCmLibraryDir(filepath.Base(ollamaLibDirs[len(ollamaLibDirs)-1])) {
		return extraEnvs
	}

	if extraEnvs["ROCR_VISIBLE_DEVICES"] != "" || envconfig.RocrVisibleDevices() != "" {
		return extraEnvs
	}

	source, tokens := rocmNumericVisibleDeviceSource(extraEnvs)
	if len(tokens) == 0 {
		return extraEnvs
	}

	env := make(map[string]string, len(extraEnvs)+1)
	for k, v := range extraEnvs {
		env[k] = v
	}
	env["ROCR_VISIBLE_DEVICES"] = strings.Join(tokens, ",")
	env[source] = visibleDeviceOrdinals(len(tokens))
	slog.Debug("normalizing AMD visible devices for ROCm discovery", "from_env", source, "ROCR_VISIBLE_DEVICES", env["ROCR_VISIBLE_DEVICES"], "visible_ordinals", env[source])
	return env
}

func isROCmLibraryDir(name string) bool {
	return strings.HasPrefix(name, "rocm")
}

type bootstrapDevicesResult struct {
	devices []ml.DeviceInfo
	status  *llm.StatusWriter
	err     error
}

func bootstrapDevicesWithStatusWatchdog(ctx context.Context, ollamaLibDirs []string, extraEnvs map[string]string) ([]ml.DeviceInfo, *llm.StatusWriter, error) {
	return runBootstrapDevicesWithStatusWatchdog(ctx, ollamaLibDirs, extraEnvs, llamaServerBootstrapDevicesWithStatus)
}

func runBootstrapDevicesWithStatusWatchdog(
	ctx context.Context,
	ollamaLibDirs []string,
	extraEnvs map[string]string,
	discover func(context.Context, []string, map[string]string) ([]ml.DeviceInfo, *llm.StatusWriter, error),
) ([]ml.DeviceInfo, *llm.StatusWriter, error) {
	resultCh := make(chan bootstrapDevicesResult, 1)
	go func() {
		devices, status, err := discover(ctx, ollamaLibDirs, extraEnvs)
		resultCh <- bootstrapDevicesResult{devices: devices, status: status, err: err}
	}()

	select {
	case result := <-resultCh:
		return result.devices, result.status, result.err
	case <-ctx.Done():
		slog.Warn("llama-server GPU discovery watchdog timed out", "OLLAMA_LIBRARY_PATH", ollamaLibDirs, "extra_envs", extraEnvs, "error", ctx.Err())
		return nil, nil, ctx.Err()
	}
}

func remapFilterIDForUserVisibleDevices(device *ml.DeviceInfo) {
	tokens := visibleDeviceFilterTokens(runtime.GOOS, device.Library)
	if len(tokens) == 0 {
		return
	}

	id := device.FilterID
	if id == "" {
		id = device.ID
	}
	index, err := strconv.Atoi(id)
	if err != nil || index < 0 || index >= len(tokens) {
		return
	}

	device.FilterID = tokens[index]
}

func visibleDeviceFilterTokens(goos, library string) []string {
	switch library {
	case "CUDA":
		return splitVisibleDeviceList(envconfig.CudaVisibleDevices())
	case "ROCm":
		if goos == "linux" {
			if tokens := splitVisibleDeviceList(envconfig.RocrVisibleDevices()); len(tokens) > 0 {
				return tokens
			}
			if _, tokens := rocmNumericVisibleDeviceSource(nil); len(tokens) > 0 {
				return tokens
			}
			return nil
		}
		for _, value := range []string{envconfig.HipVisibleDevices(), envconfig.GpuDeviceOrdinal(), envconfig.CudaVisibleDevices()} {
			if tokens := splitNumericVisibleDeviceList(value); len(tokens) > 0 {
				return tokens
			}
		}
	case "Vulkan":
		return splitVisibleDeviceList(envconfig.VkVisibleDevices())
	}

	return nil
}

func rocmNumericVisibleDeviceSource(extraEnvs map[string]string) (string, []string) {
	for _, name := range []string{"HIP_VISIBLE_DEVICES", "GPU_DEVICE_ORDINAL", "CUDA_VISIBLE_DEVICES"} {
		value := extraEnvs[name]
		if value == "" {
			switch name {
			case "HIP_VISIBLE_DEVICES":
				value = envconfig.HipVisibleDevices()
			case "GPU_DEVICE_ORDINAL":
				value = envconfig.GpuDeviceOrdinal()
			case "CUDA_VISIBLE_DEVICES":
				value = envconfig.CudaVisibleDevices()
			}
		}
		if tokens := splitNumericVisibleDeviceList(value); len(tokens) > 0 {
			return name, tokens
		}
	}
	return "", nil
}

func splitVisibleDeviceList(value string) []string {
	fields := strings.Split(value, ",")
	tokens := make([]string, 0, len(fields))
	for _, field := range fields {
		field = strings.TrimSpace(field)
		if field != "" {
			tokens = append(tokens, field)
		}
	}
	return tokens
}

func splitNumericVisibleDeviceList(value string) []string {
	tokens := splitVisibleDeviceList(value)
	if len(tokens) == 0 {
		return nil
	}
	for _, token := range tokens {
		index, err := strconv.Atoi(token)
		if err != nil || index < 0 {
			return nil
		}
	}
	return tokens
}

func visibleDeviceOrdinals(count int) string {
	ordinals := make([]string, count)
	for i := range ordinals {
		ordinals[i] = strconv.Itoa(i)
	}
	return strings.Join(ordinals, ",")
}

func lastDiscoveryStatusError(status *llm.StatusWriter) string {
	if status == nil {
		return ""
	}
	return status.LastError()
}

func recordPersistentRunnerEnv(devices []ml.DeviceInfo, extraEnvs map[string]string) {
	if extraEnvs["GGML_METAL_TENSOR_DISABLE"] != "1" {
		return
	}
	for i := range devices {
		if devices[i].Library != "Metal" {
			continue
		}
		if devices[i].RunnerEnvOverrides == nil {
			devices[i].RunnerEnvOverrides = map[string]string{}
		}
		devices[i].RunnerEnvOverrides["GGML_METAL_TENSOR_DISABLE"] = "1"
	}
}

func overrideWarnings() {
	anyFound := false
	m := envconfig.AsMap()
	for _, k := range []string{
		"CUDA_VISIBLE_DEVICES",
		"HIP_VISIBLE_DEVICES",
		"ROCR_VISIBLE_DEVICES",
		"GGML_VK_VISIBLE_DEVICES",
		"GPU_DEVICE_ORDINAL",
		"HSA_OVERRIDE_GFX_VERSION",
	} {
		if e, found := m[k]; found && e.Value != "" {
			anyFound = true
			slog.Warn("user overrode visible devices", k, e.Value)
		}
	}
	if anyFound {
		slog.Warn("if GPUs are not correctly discovered, unset and try again")
	}
}

func detectIncompatibleLibraries() {
	if runtime.GOOS != "windows" {
		return
	}
	basePath, err := exec.LookPath("ggml-base.dll")
	if err != nil || basePath == "" {
		return
	}
	if !strings.HasPrefix(basePath, ml.LibOllamaPath) {
		slog.Warn("potentially incompatible library detected in PATH", "location", basePath)
	}
}