ui: Restructure repo to use tools/ui folder and ui / UI / llama-ui / LLAMA_UI naming (#23064)

* webui: Move static build output from `tools/server/public` to `build/ui` directory

* refactor: Move to `tools/ui`

* refactor: rename CMake variables and preprocessor defines

- Rename LLAMA_BUILD_WEBUI -> LLAMA_BUILD_UI (old kept as deprecated)
- Rename LLAMA_USE_PREBUILT_WEBUI -> LLAMA_USE_PREBUILT_UI (old kept as deprecated)
- Backward compat: old vars auto-forward to new ones with DEPRECATION warning
- Rename internal vars: WEBUI_SOURCE -> UI_SOURCE, WEBUI_SOURCE_DIR -> UI_SOURCE_DIR, etc.
- Rename HF bucket: LLAMA_WEBUI_HF_BUCKET -> LLAMA_UI_HF_BUCKET
- Emit both LLAMA_BUILD_WEBUI and LLAMA_BUILD_UI preprocessor defines
- Emit both LLAMA_WEBUI_DEFAULT_ENABLED and LLAMA_UI_DEFAULT_ENABLED

* refactor: rename CLI flags (--webui -> --ui) with backward compat

- Add --ui/--no-ui (old --webui/--no-webui kept as deprecated aliases)
- Add --ui-config (old --webui-config kept as deprecated alias)
- Add --ui-config-file (old --webui-config-file kept as deprecated alias)
- Add --ui-mcp-proxy/--no-ui-mcp-proxy (old --webui-mcp-proxy kept as deprecated)
- Add new env vars: LLAMA_ARG_UI, LLAMA_ARG_UI_CONFIG, LLAMA_ARG_UI_CONFIG_FILE, LLAMA_ARG_UI_MCP_PROXY
- C++ struct fields: params.ui, params.ui_config_json, params.ui_mcp_proxy added alongside old fields
- Backward compat: old fields synced to new ones in g_params_to_internals

* refactor: update C++ server internals with backward compat

- Rename json_webui_settings -> json_ui_settings (both kept in server_context_meta)
- Rename params.webui usage -> params.ui (both synced, old still works)
- JSON API emits both "ui"/"ui_settings" and "webui"/"webui_settings" keys
- Server routes use params.ui_mcp_proxy || params.webui_mcp_proxy
- Preprocessor guards use #if defined(LLAMA_BUILD_UI) || defined(LLAMA_BUILD_WEBUI)

* refactor: rename CI/CD workflows, artifacts, and build script

- Rename webui-build.yml -> ui-build.yml; artifact webui-build -> ui-build
- Rename webui-publish.yml -> ui-publish.yml; var HF_BUCKET_WEBUI_STATIC_OUTPUT -> HF_BUCKET_UI_STATIC_OUTPUT
- Rename server-webui.yml -> server-ui.yml; job webui-build/checks -> ui-build/checks
- Update server.yml: job/artifact refs webui-build -> ui-build
- Update release.yml: all webui-build/publish refs -> ui-build/publish; HF_TOKEN_WEBUI_STATIC_OUTPUT -> HF_TOKEN_UI_STATIC_OUTPUT
- Update server-self-hosted.yml: webui-build -> ui-build
- Update build-self-hosted.yml: HF_WEBUI_VERSION -> HF_UI_VERSION
- Rename webui-download.cmake -> ui-download.cmake (internal refs updated)
- Update labeler.yml: server/webui -> server/ui path label

* docs: update CODEOWNERS and server README docs

- Update CODEOWNERS: team ggml-org/llama-webui -> ggml-org/llama-ui, path /tools/server/webui/ -> /tools/ui/
- Update server README.md: CLI tables show --ui flags with deprecated --webui aliases
- Update server README-dev.md: "WebUI" -> "UI", paths updated to tools/ui/

* fix: Small fixes for UI build

* fix: CMake.txt syntax

* chore: Formatting

* fix: `.editorconfig` for llama-ui

* chore: Formatting

* refactor: Use `APP_NAME` in Error route

* refactor: Cleanup

* refactor: Single migration service

* make llama-ui a linkable target

* fix: UI Build output

* fix: Missing change

* fix: separate llama-ui npm build output into build/tools/ui/dist subfolder + use cmake npm build instead of downloading ui-build.yml artifacts in CI

* refactor: UI workflows cleanup

---------

Co-authored-by: Xuan Son Nguyen <son@huggingface.co>
This commit is contained in:
Aleksander Grygier
2026-05-16 02:02:40 +02:00
committed by GitHub
co-authored by Xuan Son Nguyen
parent 49d1701bd2
commit 59778f0196
565 changed files with 1610 additions and 694 deletions
+832
View File
@@ -0,0 +1,832 @@
import { SvelteMap, SvelteSet } from 'svelte/reactivity';
import { toast } from 'svelte-sonner';
import { ServerModelStatus, ModelModality } from '$lib/enums';
import { ModelsService } from '$lib/services/models.service';
import { PropsService } from '$lib/services/props.service';
import { serverStore } from '$lib/stores/server.svelte';
import { TTLCache } from '$lib/utils';
import {
MODEL_PROPS_CACHE_TTL_MS,
MODEL_PROPS_CACHE_MAX_ENTRIES,
FAVORITE_MODELS_LOCALSTORAGE_KEY
} from '$lib/constants';
import { conversationsStore } from '$lib/stores/conversations.svelte';
/**
* modelsStore - Reactive store for model management in both MODEL and ROUTER modes
*
* This store manages:
* - Available models list
* - Selected model for new conversations
* - Loaded models tracking (ROUTER mode)
* - Model usage tracking per conversation
* - Automatic unloading of unused models
*
* **Architecture & Relationships:**
* - **ModelsService**: Stateless service for model API communication
* - **PropsService**: Stateless service for props/modalities fetching
* - **modelsStore** (this class): Reactive store for model state
* - **conversationsStore**: Tracks which conversations use which models
*
* **API Inconsistency Workaround:**
* In MODEL mode, `/props` returns modalities for the single model.
* In ROUTER mode, `/props` has no modalities - must use `/props?model=<id>` per model.
* This store normalizes this behavior so consumers don't need to know the server mode.
*
* **Key Features:**
* - **MODEL mode**: Single model, always loaded
* - **ROUTER mode**: Multi-model with load/unload capability
* - **Auto-unload**: Automatically unloads models not used by any conversation
* - **Lazy loading**: ensureModelLoaded() loads models on demand
*/
class ModelsStore {
/**
*
*
* State
*
*
*/
models = $state<ModelOption[]>([]);
routerModels = $state<ApiModelDataEntry[]>([]);
loading = $state(false);
updating = $state(false);
error = $state<string | null>(null);
selectedModelId = $state<string | null>(null);
selectedModelName = $state<string | null>(null);
// dedup concurrent fetch() callers, all awaiters share the same inflight promise
// without this, ?model=<name> URL handler raced an in-progress fetch and saw an empty list
private inflightFetch: Promise<void> | null = null;
private modelUsage = $state<Map<string, SvelteSet<string>>>(new Map());
private modelLoadingStates = new SvelteMap<string, boolean>();
favoriteModelIds = $state<Set<string>>(this.loadFavoritesFromStorage());
/**
* Model-specific props cache with TTL
* Key: modelId, Value: props data including modalities
* TTL: 10 minutes - props don't change frequently
*/
private modelPropsCache = new TTLCache<string, ApiLlamaCppServerProps>({
ttlMs: MODEL_PROPS_CACHE_TTL_MS,
maxEntries: MODEL_PROPS_CACHE_MAX_ENTRIES
});
private modelPropsFetching = $state<Set<string>>(new Set());
/**
* Version counter for props cache - used to trigger reactivity when props are updated
*/
propsCacheVersion = $state(0);
/**
*
*
* Computed Getters
*
*
*/
get selectedModel(): ModelOption | null {
if (!this.selectedModelId) return null;
return this.models.find((model) => model.id === this.selectedModelId) ?? null;
}
get loadedModelIds(): string[] {
return this.routerModels
.filter(
(m) =>
m.status.value === ServerModelStatus.LOADED ||
m.status.value === ServerModelStatus.SLEEPING
)
.map((m) => m.id);
}
get loadingModelIds(): string[] {
return Array.from(this.modelLoadingStates.entries())
.filter(([, loading]) => loading)
.map(([id]) => id);
}
/**
* Get model name in MODEL mode (single model).
* Extracts from model_path or model_alias from server props.
* In ROUTER mode, returns null (model is per-conversation).
*/
get singleModelName(): string | null {
if (serverStore.isRouterMode) return null;
const props = serverStore.props;
if (props?.model_alias) return props.model_alias;
if (!props?.model_path) return null;
return props.model_path.split(/(\\|\/)/).pop() || null;
}
/**
*
*
* Modalities
*
*
*/
/**
* Get modalities for a specific model
* Returns cached modalities from model props
*/
getModelModalities(modelId: string): ModelModalities | null {
const model = this.models.find((m) => m.model === modelId || m.id === modelId);
if (model?.modalities) {
return model.modalities;
}
const props = this.modelPropsCache.get(modelId);
if (props?.modalities) {
return {
vision: props.modalities.vision ?? false,
audio: props.modalities.audio ?? false
};
}
return null;
}
/**
* Check if a model supports vision modality
*/
modelSupportsVision(modelId: string): boolean {
return this.getModelModalities(modelId)?.vision ?? false;
}
/**
* Check if a model supports audio modality
*/
modelSupportsAudio(modelId: string): boolean {
return this.getModelModalities(modelId)?.audio ?? false;
}
/**
* Get model modalities as an array of ModelModality enum values
*/
getModelModalitiesArray(modelId: string): ModelModality[] {
const modalities = this.getModelModalities(modelId);
if (!modalities) return [];
const result: ModelModality[] = [];
if (modalities.vision) result.push(ModelModality.VISION);
if (modalities.audio) result.push(ModelModality.AUDIO);
return result;
}
/**
* Get props for a specific model (from cache)
*/
getModelProps(modelId: string): ApiLlamaCppServerProps | null {
return this.modelPropsCache.get(modelId);
}
/**
* Get context size (n_ctx) for a specific model from cached props
*/
getModelContextSize(modelId: string): number | null {
const props = this.getModelProps(modelId);
const nCtx = props?.default_generation_settings?.n_ctx;
return typeof nCtx === 'number' ? nCtx : null;
}
/**
* Get context size for the currently selected model or null if no model is selected
*/
get selectedModelContextSize(): number | null {
if (!this.selectedModelName) return null;
return this.getModelContextSize(this.selectedModelName);
}
/**
* Check if props are being fetched for a model
*/
isModelPropsFetching(modelId: string): boolean {
return this.modelPropsFetching.has(modelId);
}
/**
*
*
* Status Queries
*
*
*/
isModelLoaded(modelId: string): boolean {
const model = this.routerModels.find((m) => m.id === modelId);
return (
model?.status.value === ServerModelStatus.LOADED ||
model?.status.value === ServerModelStatus.SLEEPING ||
false
);
}
isModelOperationInProgress(modelId: string): boolean {
return this.modelLoadingStates.get(modelId) ?? false;
}
getModelStatus(modelId: string): ServerModelStatus | null {
const model = this.routerModels.find((m) => m.id === modelId);
return model?.status.value ?? null;
}
getModelUsage(modelId: string): SvelteSet<string> {
return this.modelUsage.get(modelId) ?? new SvelteSet<string>();
}
isModelInUse(modelId: string): boolean {
const usage = this.modelUsage.get(modelId);
return usage !== undefined && usage.size > 0;
}
/**
*
*
* Data Fetching
*
*
*/
/**
* Fetch list of models from server and detect server role
* Also fetches modalities for MODEL mode (single model)
*/
async fetch(force = false): Promise<void> {
if (this.inflightFetch) return this.inflightFetch;
if (this.models.length > 0 && !force) return;
this.inflightFetch = this.runFetch();
try {
await this.inflightFetch;
} finally {
this.inflightFetch = null;
}
}
private async runFetch(): Promise<void> {
this.loading = true;
this.error = null;
try {
if (!serverStore.props) {
await serverStore.fetch();
}
const response = await ModelsService.list();
const models: ModelOption[] = response.data.map((item: ApiModelDataEntry, index: number) => {
const details = response.models?.[index];
const rawCapabilities = Array.isArray(details?.capabilities) ? details?.capabilities : [];
const displayNameSource =
details?.name && details.name.trim().length > 0 ? details.name : item.id;
const displayName = this.toDisplayName(displayNameSource);
const modelId = details?.model || item.id;
return {
id: item.id,
name: displayName,
model: modelId,
description: details?.description,
capabilities: rawCapabilities.filter((value: unknown): value is string => Boolean(value)),
details: details?.details,
meta: item.meta ?? null,
parsedId: ModelsService.parseModelId(modelId),
aliases: item.aliases ?? [],
tags: item.tags ?? []
} satisfies ModelOption;
});
this.models = models;
// WORKAROUND: In MODEL mode, /props returns modalities for the single model,
// but /v1/models doesn't include modalities. We bridge this gap here.
const serverProps = serverStore.props;
if (serverStore.isModelMode && this.models.length > 0 && serverProps?.modalities) {
const modalities: ModelModalities = {
vision: serverProps.modalities.vision ?? false,
audio: serverProps.modalities.audio ?? false
};
this.modelPropsCache.set(this.models[0].model, serverProps);
this.models = this.models.map((model, index) =>
index === 0 ? { ...model, modalities } : model
);
}
} catch (error) {
this.models = [];
this.error = error instanceof Error ? error.message : 'Failed to load models';
throw error;
} finally {
this.loading = false;
}
}
/**
* Fetch router models with full metadata (ROUTER mode only)
* This fetches the /models endpoint which returns status info for each model
*/
async fetchRouterModels(): Promise<void> {
try {
const response = await ModelsService.listRouter();
this.routerModels = response.data;
await this.fetchModalitiesForLoadedModels();
const o = this.models.filter((option) => this.getModelProps(option.model)?.ui !== false);
if (o.length === 1 && this.isModelLoaded(o[0].model)) {
this.selectModelById(o[0].id);
}
} catch (error) {
console.warn('Failed to fetch router models:', error);
this.routerModels = [];
}
}
/**
* Fetch props for a specific model from /props endpoint
* Uses caching to avoid redundant requests
*
* In ROUTER mode, this will only fetch props if the model is loaded,
* since unloaded models return 400 from /props endpoint.
*
* @param modelId - Model identifier to fetch props for
* @returns Props data or null if fetch failed or model not loaded
*/
async fetchModelProps(modelId: string): Promise<ApiLlamaCppServerProps | null> {
const cached = this.modelPropsCache.get(modelId);
if (cached) return cached;
if (serverStore.isRouterMode && !this.isModelLoaded(modelId)) {
return null;
}
if (this.modelPropsFetching.has(modelId)) return null;
this.modelPropsFetching.add(modelId);
try {
const props = await PropsService.fetchForModel(modelId);
this.modelPropsCache.set(modelId, props);
return props;
} catch (error) {
console.warn(`Failed to fetch props for model ${modelId}:`, error);
return null;
} finally {
this.modelPropsFetching.delete(modelId);
}
}
/**
* Fetch modalities for all loaded models from /props endpoint
* This updates the modalities field in models array
*/
async fetchModalitiesForLoadedModels(): Promise<void> {
const loadedModelIds = this.loadedModelIds;
if (loadedModelIds.length === 0) return;
const propsPromises = loadedModelIds.map((modelId) => this.fetchModelProps(modelId));
try {
const results = await Promise.all(propsPromises);
// Update models with modalities
this.models = this.models.map((model) => {
const modelIndex = loadedModelIds.indexOf(model.model);
if (modelIndex === -1) return model;
const props = results[modelIndex];
if (!props?.modalities) return model;
const modalities: ModelModalities = {
vision: props.modalities.vision ?? false,
audio: props.modalities.audio ?? false
};
return { ...model, modalities };
});
this.propsCacheVersion++;
} catch (error) {
console.warn('Failed to fetch modalities for loaded models:', error);
}
}
/**
* Gets the model name from the last assistant message in the active conversation.
* Iterates backward through messages to find the most recent message with a model.
* Used by both the chat page and settings page to maintain model consistency.
* @returns The model name or null if not found
*/
getModelFromLastAssistantResponse(): string | null {
const messages = conversationsStore.activeMessages;
if (!messages || messages.length === 0) return null;
// Iterate backward to find the last message with a model
for (let i = messages.length - 1; i >= 0; i--) {
if (messages[i].model) {
return messages[i].model;
}
}
return null;
}
/**
* Auto-selects the model from the last assistant response if available and loaded.
* Returns true if a model was selected, false otherwise.
* This is used by the chat page to maintain model consistency across page navigation.
*/
async selectModelFromLastAssistantResponse(): Promise<boolean> {
const lastModel = this.getModelFromLastAssistantResponse();
if (!lastModel) return false;
// Skip if already selected
if (this.selectedModelName === lastModel) return false;
const matchingModel = this.models.find((option) => option.model === lastModel);
if (!matchingModel) return false;
if (!this.isModelLoaded(lastModel)) {
console.log('[modelsStore] last assistant model not loaded:', lastModel);
return false;
}
try {
await this.selectModelById(matchingModel.id);
console.log(`[modelsStore] Automatically selected model: ${lastModel} from last message`);
return true;
} catch (error) {
console.warn('[modelsStore] Failed to automatically select model from last message:', error);
return false;
}
}
/**
* Auto-selects the first available model if none is selected, and fetches its props.
* Prioritizes:
* 1. Model from active conversation's last assistant response (if loaded)
* 2. Model from active conversation's last assistant response (if not loaded)
* 3. First loaded model (not from active conversation)
* 4. First available model
* This is used to ensure default values are populated in settings pages.
*/
async ensureFirstModelSelected(): Promise<void> {
if (this.selectedModelName) return;
// Filter models that are visible in the UI
const availableModels = this.models.filter(
(option) => this.getModelProps(option.model)?.ui !== false
);
if (availableModels.length === 0) return;
// Try to select model from last assistant response first
const lastModel = this.getModelFromLastAssistantResponse();
if (lastModel) {
const lastModelOption = availableModels.find((m) => m.model === lastModel);
if (lastModelOption) {
await this.selectModelById(lastModelOption.id);
if (this.isModelLoaded(lastModel)) {
await this.fetchModelProps(lastModel);
}
return;
}
}
// Try to find a loaded model first
const loadedModel = availableModels.find((m) => this.isModelLoaded(m.model));
if (loadedModel) {
await this.selectModelById(loadedModel.id);
await this.fetchModelProps(loadedModel.model);
return;
}
// Fall back to the first available model
const firstModel = availableModels[0];
await this.selectModelById(firstModel.id);
// Don't fetch props for unloaded models (will fail in ROUTER mode)
}
/**
* Update modalities for a specific model
* Called when a model is loaded or when we need fresh modality data
*/
async updateModelModalities(modelId: string): Promise<void> {
try {
const props = await this.fetchModelProps(modelId);
if (!props?.modalities) return;
const modalities: ModelModalities = {
vision: props.modalities.vision ?? false,
audio: props.modalities.audio ?? false
};
this.models = this.models.map((model) =>
model.model === modelId ? { ...model, modalities } : model
);
this.propsCacheVersion++;
} catch (error) {
console.warn(`Failed to update modalities for model ${modelId}:`, error);
}
}
/**
*
*
* Model Selection
*
*
*/
/**
* Select a model for new conversations
*/
async selectModelById(modelId: string): Promise<void> {
if (!modelId || this.updating) return;
if (this.selectedModelId === modelId) return;
const option = this.models.find((model) => model.id === modelId);
if (!option) throw new Error('Selected model is not available');
this.updating = true;
this.error = null;
try {
this.selectedModelId = option.id;
this.selectedModelName = option.model;
} finally {
this.updating = false;
}
}
/**
* Select a model by its model name (used for syncing with conversation model)
* @param modelName - Model name to select (e.g., "ggml-org/GLM-4.7-Flash-GGUF")
*/
selectModelByName(modelName: string): void {
const option = this.models.find((model) => model.model === modelName);
if (option) {
this.selectedModelId = option.id;
this.selectedModelName = option.model;
}
}
clearSelection(): void {
this.selectedModelId = null;
this.selectedModelName = null;
}
findModelByName(modelName: string): ModelOption | null {
return this.models.find((model) => model.model === modelName) ?? null;
}
findModelById(modelId: string): ModelOption | null {
return this.models.find((model) => model.id === modelId) ?? null;
}
hasModel(modelName: string): boolean {
return this.models.some((model) => model.model === modelName);
}
/**
*
*
* Loading/Unloading Models
*
*
*/
/**
* WORKAROUND: Polling for model status after load/unload operations.
*
* Currently, the `/models/load` and `/models/unload` endpoints return success
* before the operation actually completes on the server. This means an immediate
* request to `/models` returns stale status (e.g., "loading" after load request,
* "loaded" after unload request).
*
* TODO: Remove this polling once llama-server properly waits for the operation
* to complete before returning success from `/load` and `/unload` endpoints.
* At that point, a single `fetchRouterModels()` call after the operation will
* be sufficient to get the correct status.
*/
/** Polling interval in ms for checking model status */
private static readonly STATUS_POLL_INTERVAL = 500;
/**
* Poll for expected model status after load/unload operation.
* Keeps polling indefinitely until the model reaches the expected status or fails.
*
* @param modelId - Model identifier to check
* @param expectedStatus - Expected status to wait for
* @throws Error if model reaches FAILED status
*/
private async pollForModelStatus(
modelId: string,
expectedStatus: ServerModelStatus
): Promise<void> {
let attempt = 0;
while (true) {
await this.fetchRouterModels();
const currentStatus = this.getModelStatus(modelId);
if (currentStatus === expectedStatus) {
return;
}
if (currentStatus === ServerModelStatus.FAILED) {
throw new Error(
`Model failed to ${expectedStatus === ServerModelStatus.LOADED ? 'load' : 'unload'}`
);
}
if (
expectedStatus === ServerModelStatus.LOADED &&
currentStatus === ServerModelStatus.UNLOADED &&
attempt > 2
) {
throw new Error('Model was unloaded unexpectedly during loading');
}
attempt++;
await new Promise((resolve) => setTimeout(resolve, ModelsStore.STATUS_POLL_INTERVAL));
}
}
/**
* Load a model (ROUTER mode)
* @param modelId - Model identifier to load
*/
async loadModel(modelId: string): Promise<void> {
if (this.isModelLoaded(modelId)) {
return;
}
if (this.modelLoadingStates.get(modelId)) return;
this.modelLoadingStates.set(modelId, true);
this.error = null;
try {
await ModelsService.load(modelId);
await this.pollForModelStatus(modelId, ServerModelStatus.LOADED);
await this.updateModelModalities(modelId);
toast.success(`Model loaded: ${this.toDisplayName(modelId)}`);
} catch (error) {
this.error = error instanceof Error ? error.message : 'Failed to load model';
toast.error(`Failed to load model: ${this.toDisplayName(modelId)}`);
throw error;
} finally {
this.modelLoadingStates.set(modelId, false);
}
}
/**
* Unload a model (ROUTER mode)
* @param modelId - Model identifier to unload
*/
async unloadModel(modelId: string): Promise<void> {
if (!this.isModelLoaded(modelId)) {
return;
}
if (this.modelLoadingStates.get(modelId)) return;
this.modelLoadingStates.set(modelId, true);
this.error = null;
try {
await ModelsService.unload(modelId);
await this.pollForModelStatus(modelId, ServerModelStatus.UNLOADED);
toast.info(`Model unloaded: ${this.toDisplayName(modelId)}`);
} catch (error) {
this.error = error instanceof Error ? error.message : 'Failed to unload model';
toast.error(`Failed to unload model: ${this.toDisplayName(modelId)}`);
throw error;
} finally {
this.modelLoadingStates.set(modelId, false);
}
}
/**
* Ensure a model is loaded before use
* @param modelId - Model identifier to ensure is loaded
*/
async ensureModelLoaded(modelId: string): Promise<void> {
if (this.isModelLoaded(modelId)) {
return;
}
await this.loadModel(modelId);
}
/**
*
*
* Favorites
*
*
*/
isFavorite(modelId: string): boolean {
return this.favoriteModelIds.has(modelId);
}
toggleFavorite(modelId: string): void {
const next = new SvelteSet(this.favoriteModelIds);
if (next.has(modelId)) {
next.delete(modelId);
} else {
next.add(modelId);
}
this.favoriteModelIds = next;
try {
localStorage.setItem(FAVORITE_MODELS_LOCALSTORAGE_KEY, JSON.stringify([...next]));
} catch {
toast.error('Failed to save favorite models to local storage');
}
}
private loadFavoritesFromStorage(): Set<string> {
try {
const raw = localStorage.getItem(FAVORITE_MODELS_LOCALSTORAGE_KEY);
return raw ? new Set(JSON.parse(raw) as string[]) : new Set();
} catch {
toast.error('Failed to load favorite models from local storage');
return new Set();
}
}
/**
*
*
* Utilities
*
*
*/
private toDisplayName(id: string): string {
const segments = id.split(/\\|\//);
const candidate = segments.pop();
return candidate && candidate.trim().length > 0 ? candidate : id;
}
clear(): void {
this.models = [];
this.routerModels = [];
this.loading = false;
this.updating = false;
this.error = null;
this.selectedModelId = null;
this.selectedModelName = null;
this.modelUsage.clear();
this.modelLoadingStates.clear();
this.modelPropsCache.clear();
this.modelPropsFetching.clear();
}
/**
* Prune expired entries from caches.
* Call periodically for proactive memory cleanup.
*/
pruneExpiredCache(): number {
return this.modelPropsCache.prune();
}
}
export const modelsStore = new ModelsStore();
export const modelOptions = () => modelsStore.models;
export const routerModels = () => modelsStore.routerModels;
export const modelsLoading = () => modelsStore.loading;
export const modelsUpdating = () => modelsStore.updating;
export const modelsError = () => modelsStore.error;
export const selectedModelId = () => modelsStore.selectedModelId;
export const selectedModelName = () => modelsStore.selectedModelName;
export const selectedModelOption = () => modelsStore.selectedModel;
export const loadedModelIds = () => modelsStore.loadedModelIds;
export const loadingModelIds = () => modelsStore.loadingModelIds;
export const propsCacheVersion = () => modelsStore.propsCacheVersion;
export const singleModelName = () => modelsStore.singleModelName;
export const selectedModelContextSize = () => modelsStore.selectedModelContextSize;
export const favoriteModelIds = () => modelsStore.favoriteModelIds;