Files
ollama_ollama/envconfig/config.go
T
Daniel Hiltgen 9db4bdbad6 runner: Remove CGO engines, use llama-server exclusively for GGML models (#16031)
* broad lint fixes to sidestep CI scope glitch

* runner: Remove CGO engines, use llama-server exclusively for GGML models

Remove the vendored GGML and llama.cpp backend, CGO runner, Go model
implementations, and sample.  llama-server (built from upstream llama.cpp via
FetchContent) is now the sole inference engine for GGUF-based models.
(Safetensor based models continue to run on the new MLX engine.)  This allows
us to more rapidly pick up new capabilities and fixes from llama.cpp as they
come out.

On windows this now requires recent AMD driver versions to support ROCm v7 as
llama.cpp currently does not support building against v6.

* llama/compat: load Ollama-format GGUFs in llama-server

Squashed from upstream/jmorganca/llama-compat on 2026-04-29.
Source tip: 0c33775d37.

Original source commits:
- 25223160d llama/compat: add in-memory shim so llama-server can load Ollama-format GGUFs
- 7449b539a llm,server: route Ollama-format gemma3 blobs through llama/compat
- 436f2e2b1 llama/compat: make patch-apply idempotent
- 8c2c9d4c8 llama/compat: extend gemma3 handler to cover 1B and 270M blobs
- 021389f7b llama/compat: shrink clip.cpp injection from 18 lines to 1
- 61b367ec2 llama/compat: shrink patch to pure call-site hooks (34 -> 20 lines)
- 36049361c llama/compat: simplify shim (gemma3-tested)
- 8fa664865 llama/compat: add qwen35moe text handler
- db0c74530 llama/compat: add qwen35moe vision (clip) support
- 2a388da77 llama/compat: split shared infra into a util TU
- 9a69a17dc llama/compat: document non-public API dependencies
- d0f38a915 llama/compat: add gpt-oss and lfm2 handlers
- 086071822 llama/compat: add mistral3 text handler (vision TODO)
- 63bde9ff7 llama/compat: add mistral3 vision (clip) support
- 3a57b89d5 llama/compat: apply LLaMA RoPE permute to mistral3 vision Q/K
- 99cb87439 llama/compat: add qwen35, gemma4, deepseek-ocr handlers
- 2c7850dba llama/compat: add nemotron_h_moe handler (latent FFN + MTP skip)
- 9e3b54225 llama/compat: add llama4 text + clip handlers
- 034fee349 llama/compat: add gemma4 clip handler (gemma4v projector)
- 9945c5a93 server: remove dhiltgen/* compat redirect table
- 5d4539101 llama/compat: rewrite gemma4 tokenizer model to BPE
- 7e0765327 llama/compat: add glm-ocr text handler + text-loader load-op hook
- f1bd1a25a llama/compat: add glm-ocr clip handler (glm4v projector)
- 4b5cf3420 llama/compat: collapse text-loader hook back to one new patch line
- eb4ecf4fc llama/compat: extend gemma4 clip handler to gemma4a (audio)
- a23a5e76f llama/compat: fix gemma4a per-block norm tensor mapping
- cd2dcaff4 llama/compat: add embeddinggemma handler
- 1ce8a6b26 llama/compat: add qwen3-vl + qwen2.5-vl handlers
- fd98ffa1e llama/compat: add gemma3n + glm4moelite handlers
- cc7bdf0bc llama/compat: handle null buft in maybe_load_tensor
- 0c33775d3 llama/compat: disable mmap when load_op transforms text-side tensors

* refine implementation

* ci: fix windows MLX build

* ci: fix windows llama-server build

* ci: fix windows rocm build

* ci: windows mlx tuning

Shorten long-tail on build, and get OllamaSetup.exe back under 2g limit

* ci: fix windows dependencies

* win: fix dependency gathering

* disable openmp

* win: arm64 cross-compile build

also DRY out CI steps

* scheduler improvements

* ci: improvements from #15982

* win: favor ninja for faster developer builds

* win: fix build

* win: fix arm64 cross-compile

* win: avoid spaces in compiler path

* misc discovery fixes, and bos handling

* lint fixes

* win: fix arm cross-compile build/CI bugs

* llama.cpp update

* win: handle multiple CRT dirs

* vulkan: add windows iGPU detection

* fix creation bugs for patched models, other refactoring work

* tune batch size for better performance

* ci and lint fixes

* fix repeat_last_n bug

* build: revamp build for better developer UX

* amd, sampler, qwen3next fixes

* version bump

* fix mlx build

* revamp GPU discovery

Scanning the output of llama-server is turning out to be too error prone across
llama.cpp updates, so this switches to a thin dynamic library load against the
bundled GGML libraries so more details can be gathered from the API.

* version bump

* missing file

* ci: fix cache miss on rocm build

* refine vulkan dep handling

* fix ps reporting bug on full GPU load

* improve cmake wiring for customized local builds

* version bump

* docker build arg cleanup

* improve windows exit error logs

* fix community gemma4 support and ci flakes

* fix mlx unit test

* tighten up ps logic to avoid double counting fit log lines

* version bump

* fix ps view for full gpu layer offload

* add MTP wiring for llama-server and create with GGUFs

* pick best template by capabilities

* version bump

* ci: harden apt repos

* remove unused cpu core discovery

* adjust batch default logic to reduce OOMs

* support larger tool calls

* fix audio support, template show

* qwen35 mtp patch support

* flesh out dtypes

* rocm deps

* version bump

* lint fix

* block broken gfx1150 on windows

* fix qwen3.5 moe mtp tensors in patch

* mmproj oom fallback and vulkan on by default

* qwen MTP compat fix

* version bump

* ci: fix WoA cross-compile

* ci: workaround ui tool in cross-compile

* version bump

* win: enable OpenMP for CPU builds

* build: improve developer UX

* ci: windows path workaround for CPU build

* win: fix WoA dependencies

* win: fix large offset reads for mmproj patched loads

* version bump

* fix vulkan dup detection

* add OLLAMA_IGPU_ENABLE and largely disable iGPUs by default

* opt-in MTP, win large offset, integraton fixes

* fix unit test scheduler interaction hang

* fix multi-gpu filtering

* version bump

* review comments

* fix thinking level

* fix linux rocm ordering and granite 3.3 template

* version bump

* ci fix - non-shallow MLX checkout

* bypass linux sysfs unit test on windows

---------

Co-authored-by: jmorganca <jmorganca@gmail.com>
2026-05-29 13:35:47 -07:00

466 lines
16 KiB
Go

package envconfig
import (
"encoding/json"
"errors"
"fmt"
"log/slog"
"math"
"net"
"net/url"
"os"
"path/filepath"
"runtime"
"strconv"
"strings"
"sync"
"time"
)
// Host returns the scheme and host. Host can be configured via the OLLAMA_HOST environment variable.
// Default is scheme "http" and host "127.0.0.1:11434"
func Host() *url.URL {
defaultPort := "11434"
s := strings.TrimSpace(Var("OLLAMA_HOST"))
scheme, hostport, ok := strings.Cut(s, "://")
switch {
case !ok:
scheme, hostport = "http", s
if s == "ollama.com" {
scheme, hostport = "https", "ollama.com:443"
}
case scheme == "http":
defaultPort = "80"
case scheme == "https":
defaultPort = "443"
}
hostport, path, _ := strings.Cut(hostport, "/")
host, port, err := net.SplitHostPort(hostport)
if err != nil {
host, port = "127.0.0.1", defaultPort
if ip := net.ParseIP(strings.Trim(hostport, "[]")); ip != nil {
host = ip.String()
} else if hostport != "" {
host = hostport
}
}
if n, err := strconv.ParseInt(port, 10, 32); err != nil || n > 65535 || n < 0 {
slog.Warn("invalid port, using default", "port", port, "default", defaultPort)
port = defaultPort
}
return &url.URL{
Scheme: scheme,
Host: net.JoinHostPort(host, port),
Path: path,
}
}
// ConnectableHost returns Host() with unspecified bind addresses (0.0.0.0, ::)
// replaced by the corresponding loopback address (127.0.0.1, ::1).
// Unspecified addresses are valid for binding a server socket but not for
// connecting as a client, which fails on Windows.
func ConnectableHost() *url.URL {
u := Host()
host, port, err := net.SplitHostPort(u.Host)
if err != nil {
return u
}
if ip := net.ParseIP(host); ip != nil && ip.IsUnspecified() {
if ip.To4() != nil {
host = "127.0.0.1"
} else {
host = "::1"
}
u.Host = net.JoinHostPort(host, port)
}
return u
}
// AllowedOrigins returns a list of allowed origins. AllowedOrigins can be configured via the OLLAMA_ORIGINS environment variable.
func AllowedOrigins() (origins []string) {
if s := Var("OLLAMA_ORIGINS"); s != "" {
origins = strings.Split(s, ",")
}
for _, origin := range []string{"localhost", "127.0.0.1", "0.0.0.0"} {
origins = append(origins,
fmt.Sprintf("http://%s", origin),
fmt.Sprintf("https://%s", origin),
fmt.Sprintf("http://%s", net.JoinHostPort(origin, "*")),
fmt.Sprintf("https://%s", net.JoinHostPort(origin, "*")),
)
}
origins = append(origins,
"app://*",
"file://*",
"tauri://*",
"vscode-webview://*",
"vscode-file://*",
)
return origins
}
// Models returns the path to the models directory. Models directory can be configured via the OLLAMA_MODELS environment variable.
// Default is $HOME/.ollama/models
func Models() string {
if s := Var("OLLAMA_MODELS"); s != "" {
return s
}
home, err := os.UserHomeDir()
if err != nil {
panic(err)
}
return filepath.Join(home, ".ollama", "models")
}
// KeepAlive returns the duration that models stay loaded in memory. KeepAlive can be configured via the OLLAMA_KEEP_ALIVE environment variable.
// Negative values are treated as infinite. Zero is treated as no keep alive.
// Default is 5 minutes.
func KeepAlive() (keepAlive time.Duration) {
keepAlive = 5 * time.Minute
if s := Var("OLLAMA_KEEP_ALIVE"); s != "" {
if d, err := time.ParseDuration(s); err == nil {
keepAlive = d
} else if n, err := strconv.ParseInt(s, 10, 64); err == nil {
keepAlive = time.Duration(n) * time.Second
}
}
if keepAlive < 0 {
return time.Duration(math.MaxInt64)
}
return keepAlive
}
// LoadTimeout returns the duration for stall detection during model loads. LoadTimeout can be configured via the OLLAMA_LOAD_TIMEOUT environment variable.
// Zero or Negative values are treated as infinite.
// Default is 5 minutes.
func LoadTimeout() (loadTimeout time.Duration) {
loadTimeout = 5 * time.Minute
if s := Var("OLLAMA_LOAD_TIMEOUT"); s != "" {
if d, err := time.ParseDuration(s); err == nil {
loadTimeout = d
} else if n, err := strconv.ParseInt(s, 10, 64); err == nil {
loadTimeout = time.Duration(n) * time.Second
}
}
if loadTimeout <= 0 {
return time.Duration(math.MaxInt64)
}
return loadTimeout
}
func Remotes() []string {
var r []string
raw := strings.TrimSpace(Var("OLLAMA_REMOTES"))
if raw == "" {
r = []string{"ollama.com"}
} else {
r = strings.Split(raw, ",")
}
return r
}
func BoolWithDefault(k string) func(defaultValue bool) bool {
return func(defaultValue bool) bool {
if s := Var(k); s != "" {
b, err := strconv.ParseBool(s)
if err != nil {
return true
}
return b
}
return defaultValue
}
}
func Bool(k string) func() bool {
withDefault := BoolWithDefault(k)
return func() bool {
return withDefault(false)
}
}
// LogLevel returns the log level for the application.
// Values are 0 or false INFO (Default), 1 or true DEBUG, 2 TRACE
func LogLevel() slog.Level {
level := slog.LevelInfo
if s := Var("OLLAMA_DEBUG"); s != "" {
if b, _ := strconv.ParseBool(s); b {
level = slog.LevelDebug
} else if i, _ := strconv.ParseInt(s, 10, 64); i != 0 {
level = slog.Level(i * -4)
}
}
return level
}
var (
// FlashAttention enables the experimental flash attention feature.
FlashAttention = BoolWithDefault("OLLAMA_FLASH_ATTENTION")
// GoTemplate enables Modelfile TEMPLATE rendering when a model has one.
GoTemplate = BoolWithDefault("OLLAMA_GO_TEMPLATE")
// DebugLogRequests logs inference requests to disk for replay/debugging.
DebugLogRequests = Bool("OLLAMA_DEBUG_LOG_REQUESTS")
// KvCacheType is the quantization type for the K/V cache.
KvCacheType = String("OLLAMA_KV_CACHE_TYPE")
// NoHistory disables readline history.
NoHistory = Bool("OLLAMA_NOHISTORY")
// NoPrune disables pruning of model blobs on startup.
NoPrune = Bool("OLLAMA_NOPRUNE")
// SchedSpread allows scheduling models across all GPUs.
SchedSpread = Bool("OLLAMA_SCHED_SPREAD")
// ContextLength sets the default context length
ContextLength = Uint("OLLAMA_CONTEXT_LENGTH", 0)
// Auth enables authentication between the Ollama client and server
UseAuth = Bool("OLLAMA_AUTH")
// EnableVulkan controls Vulkan backend discovery.
EnableVulkan = BoolWithDefault("OLLAMA_VULKAN")
// EnableIntegratedGPU controls whether integrated GPUs may be selected.
EnableIntegratedGPU = BoolWithDefault("OLLAMA_IGPU_ENABLE")
// NoCloudEnv checks the OLLAMA_NO_CLOUD environment variable.
NoCloudEnv = Bool("OLLAMA_NO_CLOUD")
)
func String(s string) func() string {
return func() string {
return Var(s)
}
}
var (
LLMLibrary = String("OLLAMA_LLM_LIBRARY")
Editor = String("OLLAMA_EDITOR")
CudaVisibleDevices = String("CUDA_VISIBLE_DEVICES")
HipVisibleDevices = String("HIP_VISIBLE_DEVICES")
RocrVisibleDevices = String("ROCR_VISIBLE_DEVICES")
VkVisibleDevices = String("GGML_VK_VISIBLE_DEVICES")
GpuDeviceOrdinal = String("GPU_DEVICE_ORDINAL")
HsaOverrideGfxVersion = String("HSA_OVERRIDE_GFX_VERSION")
)
func Uint(key string, defaultValue uint) func() uint {
return func() uint {
if s := Var(key); s != "" {
if n, err := strconv.ParseUint(s, 10, 64); err != nil {
slog.Warn("invalid environment variable, using default", "key", key, "value", s, "default", defaultValue)
} else {
return uint(n)
}
}
return defaultValue
}
}
var (
// NumParallel sets the number of parallel model requests. NumParallel can be configured via the OLLAMA_NUM_PARALLEL environment variable.
NumParallel = Uint("OLLAMA_NUM_PARALLEL", 1)
// MaxRunners sets the maximum number of loaded models. MaxRunners can be configured via the OLLAMA_MAX_LOADED_MODELS environment variable.
MaxRunners = Uint("OLLAMA_MAX_LOADED_MODELS", 0)
// MaxQueue sets the maximum number of queued requests. MaxQueue can be configured via the OLLAMA_MAX_QUEUE environment variable.
MaxQueue = Uint("OLLAMA_MAX_QUEUE", 512)
// MaxTransferStreams caps the number of simultaneous body-bearing
// transfers during safetensors model pulls/pushes, keeping slower
// networks from being saturated. Tune higher for fast networks. Has
// no effect on GGUF transfers, which use the legacy upload/download
// paths.
MaxTransferStreams = Uint("OLLAMA_MAX_TRANSFER_STREAMS", 4)
)
func Uint64(key string, defaultValue uint64) func() uint64 {
return func() uint64 {
if s := Var(key); s != "" {
if n, err := strconv.ParseUint(s, 10, 64); err != nil {
slog.Warn("invalid environment variable, using default", "key", key, "value", s, "default", defaultValue)
} else {
return n
}
}
return defaultValue
}
}
// Set aside VRAM per GPU
var GpuOverhead = Uint64("OLLAMA_GPU_OVERHEAD", 0)
type EnvVar struct {
Name string
Value any
Description string
}
func AsMap() map[string]EnvVar {
ret := map[string]EnvVar{
"OLLAMA_DEBUG": {"OLLAMA_DEBUG", LogLevel(), "Show additional debug information (e.g. OLLAMA_DEBUG=1)"},
"OLLAMA_DEBUG_LOG_REQUESTS": {"OLLAMA_DEBUG_LOG_REQUESTS", DebugLogRequests(), "Log inference request bodies and replay curl commands to a temp directory"},
"OLLAMA_GO_TEMPLATE": {"OLLAMA_GO_TEMPLATE", GoTemplate(true), "Enable Modelfile TEMPLATE based rendering when available"},
"OLLAMA_FLASH_ATTENTION": {"OLLAMA_FLASH_ATTENTION", FlashAttention(false), "Enabled flash attention"},
"OLLAMA_KV_CACHE_TYPE": {"OLLAMA_KV_CACHE_TYPE", KvCacheType(), "Quantization type for the K/V cache (default: f16)"},
"OLLAMA_GPU_OVERHEAD": {"OLLAMA_GPU_OVERHEAD", GpuOverhead(), "Reserve a portion of VRAM per GPU (bytes)"},
"OLLAMA_IGPU_ENABLE": {"OLLAMA_IGPU_ENABLE", String("OLLAMA_IGPU_ENABLE")(), "Enable integrated GPUs"},
"LLAMA_ARG_FIT": {"LLAMA_ARG_FIT", String("LLAMA_ARG_FIT")(), "Enable llama.cpp automatic fit of unset memory options (default \"on\")"},
"LLAMA_ARG_FIT_TARGET": {"LLAMA_ARG_FIT_TARGET", String("LLAMA_ARG_FIT_TARGET")(), "Target free VRAM margin per device for llama.cpp fit (MiB)"},
"OLLAMA_HOST": {"OLLAMA_HOST", Host(), "IP Address for the ollama server (default 127.0.0.1:11434)"},
"OLLAMA_KEEP_ALIVE": {"OLLAMA_KEEP_ALIVE", KeepAlive(), "The duration that models stay loaded in memory (default \"5m\")"},
"OLLAMA_LLM_LIBRARY": {"OLLAMA_LLM_LIBRARY", LLMLibrary(), "Set LLM library to bypass autodetection"},
"OLLAMA_LOAD_TIMEOUT": {"OLLAMA_LOAD_TIMEOUT", LoadTimeout(), "How long to allow model loads to stall before giving up (default \"5m\")"},
"OLLAMA_MAX_LOADED_MODELS": {"OLLAMA_MAX_LOADED_MODELS", MaxRunners(), "Maximum number of loaded models per GPU"},
"OLLAMA_MAX_TRANSFER_STREAMS": {"OLLAMA_MAX_TRANSFER_STREAMS", MaxTransferStreams(), "Maximum parallel transfer streams for safetensors model pulls/pushes (default 4)"},
"OLLAMA_MAX_QUEUE": {"OLLAMA_MAX_QUEUE", MaxQueue(), "Maximum number of queued requests"},
"OLLAMA_MODELS": {"OLLAMA_MODELS", Models(), "The path to the models directory"},
"OLLAMA_NO_CLOUD": {"OLLAMA_NO_CLOUD", NoCloud(), "Disable Ollama cloud features (remote inference and web search)"},
"OLLAMA_NOHISTORY": {"OLLAMA_NOHISTORY", NoHistory(), "Do not preserve readline history"},
"OLLAMA_NOPRUNE": {"OLLAMA_NOPRUNE", NoPrune(), "Do not prune model blobs on startup"},
"OLLAMA_NUM_PARALLEL": {"OLLAMA_NUM_PARALLEL", NumParallel(), "Maximum number of parallel requests"},
"OLLAMA_ORIGINS": {"OLLAMA_ORIGINS", AllowedOrigins(), "A comma separated list of allowed origins"},
"OLLAMA_SCHED_SPREAD": {"OLLAMA_SCHED_SPREAD", SchedSpread(), "Always schedule model across all GPUs"},
"OLLAMA_CONTEXT_LENGTH": {"OLLAMA_CONTEXT_LENGTH", ContextLength(), "Context length to use unless otherwise specified (default: 4k/32k/256k based on VRAM)"},
"OLLAMA_EDITOR": {"OLLAMA_EDITOR", Editor(), "Path to editor for interactive prompt editing (Ctrl+G)"},
"OLLAMA_REMOTES": {"OLLAMA_REMOTES", Remotes(), "Allowed hosts for remote models (default \"ollama.com\")"},
// Informational
"HTTP_PROXY": {"HTTP_PROXY", String("HTTP_PROXY")(), "HTTP proxy"},
"HTTPS_PROXY": {"HTTPS_PROXY", String("HTTPS_PROXY")(), "HTTPS proxy"},
"NO_PROXY": {"NO_PROXY", String("NO_PROXY")(), "No proxy"},
}
if runtime.GOOS != "windows" {
// Windows environment variables are case-insensitive so there's no need to duplicate them
ret["http_proxy"] = EnvVar{"http_proxy", String("http_proxy")(), "HTTP proxy"}
ret["https_proxy"] = EnvVar{"https_proxy", String("https_proxy")(), "HTTPS proxy"}
ret["no_proxy"] = EnvVar{"no_proxy", String("no_proxy")(), "No proxy"}
}
if runtime.GOOS != "darwin" {
ret["CUDA_VISIBLE_DEVICES"] = EnvVar{"CUDA_VISIBLE_DEVICES", CudaVisibleDevices(), "Set which NVIDIA devices are visible"}
ret["HIP_VISIBLE_DEVICES"] = EnvVar{"HIP_VISIBLE_DEVICES", HipVisibleDevices(), "Set which AMD devices are visible by numeric ID"}
ret["ROCR_VISIBLE_DEVICES"] = EnvVar{"ROCR_VISIBLE_DEVICES", RocrVisibleDevices(), "Set which AMD devices are visible by UUID or numeric ID"}
ret["GGML_VK_VISIBLE_DEVICES"] = EnvVar{"GGML_VK_VISIBLE_DEVICES", VkVisibleDevices(), "Set which Vulkan devices are visible by numeric ID"}
ret["GPU_DEVICE_ORDINAL"] = EnvVar{"GPU_DEVICE_ORDINAL", GpuDeviceOrdinal(), "Set which AMD devices are visible by numeric ID"}
ret["HSA_OVERRIDE_GFX_VERSION"] = EnvVar{"HSA_OVERRIDE_GFX_VERSION", HsaOverrideGfxVersion(), "Override the gfx used for all detected AMD GPUs"}
ret["OLLAMA_VULKAN"] = EnvVar{"OLLAMA_VULKAN", EnableVulkan(true), "Enable Vulkan support"}
}
return ret
}
func Values() map[string]string {
vals := make(map[string]string)
for k, v := range AsMap() {
vals[k] = fmt.Sprintf("%v", v.Value)
}
return vals
}
// Var returns an environment variable stripped of leading and trailing quotes or spaces
func Var(key string) string {
return strings.Trim(strings.TrimSpace(os.Getenv(key)), "\"'")
}
// serverConfigData holds the parsed fields from ~/.ollama/server.json.
type serverConfigData struct {
DisableOllamaCloud bool `json:"disable_ollama_cloud,omitempty"`
}
var (
serverCfgMu sync.RWMutex
serverCfgLoaded bool
serverCfg serverConfigData
)
func loadServerConfig() {
serverCfgMu.RLock()
if serverCfgLoaded {
serverCfgMu.RUnlock()
return
}
serverCfgMu.RUnlock()
cfg := serverConfigData{}
home, err := os.UserHomeDir()
if err == nil {
path := filepath.Join(home, ".ollama", "server.json")
data, err := os.ReadFile(path)
if err != nil {
if !errors.Is(err, os.ErrNotExist) {
slog.Debug("envconfig: could not read server config", "error", err)
}
} else if err := json.Unmarshal(data, &cfg); err != nil {
slog.Debug("envconfig: could not parse server config", "error", err)
}
}
serverCfgMu.Lock()
defer serverCfgMu.Unlock()
if serverCfgLoaded {
return
}
serverCfg = cfg
serverCfgLoaded = true
}
func cachedServerConfig() serverConfigData {
serverCfgMu.RLock()
defer serverCfgMu.RUnlock()
return serverCfg
}
// ReloadServerConfig refreshes the cached ~/.ollama/server.json settings.
func ReloadServerConfig() {
serverCfgMu.Lock()
serverCfgLoaded = false
serverCfg = serverConfigData{}
serverCfgMu.Unlock()
loadServerConfig()
}
// NoCloud returns true if Ollama cloud features are disabled,
// checking both the OLLAMA_NO_CLOUD environment variable and
// the disable_ollama_cloud field in ~/.ollama/server.json.
func NoCloud() bool {
if NoCloudEnv() {
return true
}
loadServerConfig()
return cachedServerConfig().DisableOllamaCloud
}
// NoCloudSource returns the source of the cloud-disabled decision.
// Returns "none", "env", "config", or "both".
func NoCloudSource() string {
envDisabled := NoCloudEnv()
loadServerConfig()
configDisabled := cachedServerConfig().DisableOllamaCloud
switch {
case envDisabled && configDisabled:
return "both"
case envDisabled:
return "env"
case configDisabled:
return "config"
default:
return "none"
}
}