mirror of
https://github.com/fawney19/Aether.git
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refactor(models): enhance model management with official provider marking and extended metadata
- Add OFFICIAL_PROVIDERS set to mark first-party vendors in models.dev - Implement official provider marking function with cache compatibility - Extend model metadata with family, context_limit, output_limit fields - Improve frontend model selection UI with wider panel and better search - Add dark mode support for provider logos - Optimize scrollbar styling for model lists - Update deployment documentation with clearer migration steps
This commit is contained in:
@@ -60,11 +60,11 @@ python generate_keys.py # 生成密钥, 并将生成的密钥填入 .env
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# 3. 部署
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docker-compose up -d
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# 4. 更新
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docker-compose pull && docker-compose up -d
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# 5. 数据库迁移 - 更新后执行
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# 4. 首次部署时, 初始化数据库
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./migrate.sh
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# 5. 更新
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docker-compose pull && docker-compose up -d && ./migrate.sh
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```
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### Docker Compose(本地构建镜像)
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@@ -50,6 +50,7 @@ export interface ModelsDevProvider {
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name: string
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doc?: string
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models: Record<string, ModelsDevModel>
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official?: boolean // 是否为官方提供商
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}
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export type ModelsDevData = Record<string, ModelsDevProvider>
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@@ -68,7 +69,12 @@ export interface ModelsDevModelItem {
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supportsVision?: boolean
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supportsToolCall?: boolean
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supportsReasoning?: boolean
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supportsStructuredOutput?: boolean
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supportsTemperature?: boolean
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supportsAttachment?: boolean
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openWeights?: boolean
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deprecated?: boolean
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official?: boolean // 是否来自官方提供商
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// 用于 display_metadata 的额外字段
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knowledgeCutoff?: string
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releaseDate?: string
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@@ -84,13 +90,21 @@ interface CacheData {
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// 内存缓存
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let memoryCache: CacheData | null = null
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function hasOfficialFlag(data: ModelsDevData): boolean {
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return Object.values(data).some(provider => typeof provider?.official === 'boolean')
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}
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/**
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* 获取 models.dev 数据(带缓存)
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*/
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export async function getModelsDevData(): Promise<ModelsDevData> {
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// 1. 检查内存缓存
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if (memoryCache && Date.now() - memoryCache.timestamp < CACHE_DURATION) {
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return memoryCache.data
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// 兼容旧缓存:没有 official 字段时丢弃,强制刷新一次
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if (hasOfficialFlag(memoryCache.data)) {
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return memoryCache.data
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}
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memoryCache = null
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}
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// 2. 检查 localStorage 缓存
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@@ -99,8 +113,12 @@ export async function getModelsDevData(): Promise<ModelsDevData> {
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if (cached) {
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const cacheData: CacheData = JSON.parse(cached)
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if (Date.now() - cacheData.timestamp < CACHE_DURATION) {
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memoryCache = cacheData
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return cacheData.data
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// 兼容旧缓存:没有 official 字段时丢弃,强制刷新一次
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if (hasOfficialFlag(cacheData.data)) {
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memoryCache = cacheData
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return cacheData.data
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}
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localStorage.removeItem(CACHE_KEY)
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}
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}
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} catch {
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@@ -126,52 +144,75 @@ export async function getModelsDevData(): Promise<ModelsDevData> {
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return data
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}
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// 模型列表缓存(避免重复转换)
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let modelsListCache: ModelsDevModelItem[] | null = null
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let modelsListCacheTimestamp: number | null = null
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/**
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* 获取扁平化的模型列表
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* 数据只加载一次,通过参数过滤官方/全部
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*/
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export async function getModelsDevList(): Promise<ModelsDevModelItem[]> {
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export async function getModelsDevList(officialOnly: boolean = true): Promise<ModelsDevModelItem[]> {
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const data = await getModelsDevData()
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const items: ModelsDevModelItem[] = []
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const currentTimestamp = memoryCache?.timestamp ?? 0
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for (const [providerId, provider] of Object.entries(data)) {
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if (!provider.models) continue
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// 如果缓存为空或数据已刷新,构建一次
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if (!modelsListCache || modelsListCacheTimestamp !== currentTimestamp) {
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const items: ModelsDevModelItem[] = []
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for (const [modelId, model] of Object.entries(provider.models)) {
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items.push({
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providerId,
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providerName: provider.name,
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modelId,
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modelName: model.name || modelId,
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family: model.family,
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inputPrice: model.cost?.input,
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outputPrice: model.cost?.output,
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contextLimit: model.limit?.context,
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outputLimit: model.limit?.output,
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supportsVision: model.input?.includes('image'),
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supportsToolCall: model.tool_call,
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supportsReasoning: model.reasoning,
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deprecated: model.deprecated,
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// display_metadata 相关字段
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knowledgeCutoff: model.knowledge,
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releaseDate: model.release_date,
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inputModalities: model.input,
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outputModalities: model.output,
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})
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for (const [providerId, provider] of Object.entries(data)) {
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if (!provider.models) continue
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for (const [modelId, model] of Object.entries(provider.models)) {
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items.push({
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providerId,
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providerName: provider.name,
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modelId,
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modelName: model.name || modelId,
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family: model.family,
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inputPrice: model.cost?.input,
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outputPrice: model.cost?.output,
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contextLimit: model.limit?.context,
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outputLimit: model.limit?.output,
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supportsVision: model.input?.includes('image'),
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supportsToolCall: model.tool_call,
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supportsReasoning: model.reasoning,
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supportsStructuredOutput: model.structured_output,
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supportsTemperature: model.temperature,
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supportsAttachment: model.attachment,
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openWeights: model.open_weights,
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deprecated: model.deprecated,
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official: provider.official,
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// display_metadata 相关字段
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knowledgeCutoff: model.knowledge,
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releaseDate: model.release_date,
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inputModalities: model.input,
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outputModalities: model.output,
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})
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}
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}
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// 按 provider 名称和模型名称排序
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items.sort((a, b) => {
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const providerCompare = a.providerName.localeCompare(b.providerName)
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if (providerCompare !== 0) return providerCompare
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return a.modelName.localeCompare(b.modelName)
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})
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modelsListCache = items
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modelsListCacheTimestamp = currentTimestamp
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}
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// 按 provider 名称和模型名称排序
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items.sort((a, b) => {
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const providerCompare = a.providerName.localeCompare(b.providerName)
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if (providerCompare !== 0) return providerCompare
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return a.modelName.localeCompare(b.modelName)
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})
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return items
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// 根据参数过滤
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if (officialOnly) {
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return modelsListCache.filter(m => m.official)
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}
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return modelsListCache
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}
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/**
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* 搜索模型
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* 搜索时包含所有提供商(包括第三方)
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*/
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export async function searchModelsDevModels(
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query: string,
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@@ -180,7 +221,8 @@ export async function searchModelsDevModels(
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excludeDeprecated?: boolean
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}
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): Promise<ModelsDevModelItem[]> {
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const allModels = await getModelsDevList()
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// 搜索时包含全部提供商
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const allModels = await getModelsDevList(false)
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const { limit = 50, excludeDeprecated = true } = options || {}
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const queryLower = query.toLowerCase()
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@@ -236,6 +278,8 @@ export function getProviderLogoUrl(providerId: string): string {
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*/
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export function clearModelsDevCache(): void {
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memoryCache = null
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modelsListCache = null
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modelsListCacheTimestamp = null
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try {
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localStorage.removeItem(CACHE_KEY)
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} catch {
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@@ -14,7 +14,7 @@
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<!-- 左侧:模型选择(仅创建模式) -->
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<div
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v-if="!isEditMode"
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class="w-[200px] shrink-0 flex flex-col h-full"
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class="w-[260px] shrink-0 flex flex-col h-full"
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>
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<!-- 搜索框 -->
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<div class="relative mb-3">
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@@ -22,13 +22,13 @@
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<Input
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v-model="searchQuery"
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type="text"
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placeholder="搜索模型..."
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placeholder="搜索模型、提供商..."
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class="pl-8 h-8 text-sm"
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/>
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</div>
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<!-- 模型列表(两级结构) -->
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<div class="flex-1 overflow-y-auto border rounded-lg min-h-0">
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<div class="flex-1 overflow-y-auto border rounded-lg min-h-0 scrollbar-thin">
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<div
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v-if="loading"
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class="flex items-center justify-center h-32"
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@@ -54,7 +54,7 @@
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<img
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:src="getProviderLogoUrl(group.providerId)"
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:alt="group.providerName"
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class="w-4 h-4 rounded shrink-0"
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class="w-4 h-4 rounded shrink-0 dark:invert dark:brightness-90"
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@error="handleLogoError"
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>
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<span class="truncate font-medium text-xs flex-1">{{ group.providerName }}</span>
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@@ -90,7 +90,7 @@
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<!-- 右侧:表单 -->
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<div
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class="flex-1 overflow-y-auto h-full"
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class="flex-1 overflow-y-auto h-full scrollbar-thin"
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:class="isEditMode ? 'max-h-[70vh]' : ''"
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>
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<form
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@@ -141,6 +141,46 @@
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@update:model-value="(v) => setConfigField('description', v || undefined)"
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/>
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</div>
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<div class="grid grid-cols-3 gap-3">
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<div class="space-y-1.5">
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<Label
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for="model-family"
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class="text-xs"
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>模型系列</Label>
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<Input
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id="model-family"
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:model-value="form.config?.family || ''"
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placeholder="如 GPT-4、Claude 3"
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@update:model-value="(v) => setConfigField('family', v || undefined)"
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/>
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</div>
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<div class="space-y-1.5">
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<Label
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for="model-context-limit"
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class="text-xs"
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>上下文限制</Label>
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<Input
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id="model-context-limit"
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type="number"
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:model-value="form.config?.context_limit ?? ''"
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placeholder="如 128000"
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@update:model-value="(v) => setConfigField('context_limit', v ? Number(v) : undefined)"
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/>
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</div>
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<div class="space-y-1.5">
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<Label
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for="model-output-limit"
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class="text-xs"
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>输出限制</Label>
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<Input
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id="model-output-limit"
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type="number"
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:model-value="form.config?.output_limit ?? ''"
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placeholder="如 8192"
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@update:model-value="(v) => setConfigField('output_limit', v ? Number(v) : undefined)"
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/>
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</div>
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</div>
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</section>
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<!-- 能力配置 -->
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@@ -329,10 +369,18 @@ const tieredPricingEditorRef = ref<InstanceType<typeof TieredPricingEditor> | nu
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// 模型列表相关
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const loading = ref(false)
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const searchQuery = ref('')
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const allModels = ref<ModelsDevModelItem[]>([])
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const allModelsCache = ref<ModelsDevModelItem[]>([]) // 全部模型(缓存)
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const selectedModel = ref<ModelsDevModelItem | null>(null)
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const expandedProvider = ref<string | null>(null)
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// 当前显示的模型列表:有搜索词时用全部,否则只用官方
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const allModels = computed(() => {
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if (searchQuery.value) {
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return allModelsCache.value
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}
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return allModelsCache.value.filter(m => m.official)
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})
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// 按提供商分组的模型
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interface ProviderGroup {
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providerId: string
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@@ -440,10 +488,11 @@ const availableCapabilities = ref<CapabilityDefinition[]>([])
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// 加载模型列表
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async function loadModels() {
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if (allModels.value.length > 0) return
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if (allModelsCache.value.length > 0) return
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loading.value = true
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try {
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allModels.value = await getModelsDevList()
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// 只加载一次全部模型,过滤在 computed 中完成
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allModelsCache.value = await getModelsDevList(false)
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} catch (err) {
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log.error('Failed to load models:', err)
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} finally {
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@@ -498,6 +547,10 @@ function selectModel(model: ModelsDevModelItem) {
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if (model.supportsVision) config.vision = true
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if (model.supportsToolCall) config.function_calling = true
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if (model.supportsReasoning) config.extended_thinking = true
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if (model.supportsStructuredOutput) config.structured_output = true
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if (model.supportsTemperature !== false) config.temperature = model.supportsTemperature
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if (model.supportsAttachment) config.attachment = true
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if (model.openWeights) config.open_weights = true
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if (model.contextLimit) config.context_limit = model.contextLimit
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if (model.outputLimit) config.output_limit = model.outputLimit
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if (model.knowledgeCutoff) config.knowledge_cutoff = model.knowledgeCutoff
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@@ -1169,4 +1169,26 @@ body[theme-mode='dark'] .literary-annotation {
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.scrollbar-hide::-webkit-scrollbar {
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display: none;
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}
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.scrollbar-thin {
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scrollbar-width: thin;
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scrollbar-color: hsl(var(--border)) transparent;
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}
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.scrollbar-thin::-webkit-scrollbar {
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width: 6px;
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}
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.scrollbar-thin::-webkit-scrollbar-track {
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background: transparent;
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}
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.scrollbar-thin::-webkit-scrollbar-thumb {
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background-color: hsl(var(--border));
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border-radius: 3px;
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}
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.scrollbar-thin::-webkit-scrollbar-thumb:hover {
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background-color: hsl(var(--muted-foreground) / 0.5);
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}
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}
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@@ -20,6 +20,27 @@ router = APIRouter()
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CACHE_KEY = "aether:external:models_dev"
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CACHE_TTL = 15 * 60 # 15 分钟
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# 标记官方/一手提供商,前端可据此过滤第三方转售商
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OFFICIAL_PROVIDERS = {
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"anthropic", # Claude 官方
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"openai", # OpenAI 官方
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"google", # Gemini 官方
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"google-vertex", # Google Vertex AI
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"azure", # Azure OpenAI
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"amazon-bedrock", # AWS Bedrock
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"xai", # Grok 官方
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"meta", # Llama 官方
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"deepseek", # DeepSeek 官方
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"mistral", # Mistral 官方
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"cohere", # Cohere 官方
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"zhipuai", # 智谱 AI 官方
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"alibaba", # 阿里云(通义千问)
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"minimax", # MiniMax 官方
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"moonshot", # 月之暗面(Kimi)
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"baichuan", # 百川智能
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"ai21", # AI21 Labs
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}
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async def _get_cached_data() -> Optional[dict[str, Any]]:
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"""从 Redis 获取缓存数据"""
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@@ -47,15 +68,40 @@ async def _set_cached_data(data: dict) -> None:
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logger.warning(f"写入 models.dev 缓存失败: {e}")
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def _mark_official_providers(data: dict[str, Any]) -> dict[str, Any]:
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"""为每个提供商标记是否为官方"""
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result = {}
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for provider_id, provider_data in data.items():
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result[provider_id] = {
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**provider_data,
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"official": provider_id in OFFICIAL_PROVIDERS,
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}
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return result
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||||
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@router.get("/external")
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async def get_external_models(_: User = Depends(require_admin)) -> JSONResponse:
|
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"""
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获取 models.dev 的模型数据(代理请求,解决跨域问题)
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||||
数据缓存 15 分钟(使用 Redis,多 worker 共享)
|
||||
每个提供商会标记 official 字段,前端可据此过滤
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||||
"""
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||||
# 检查缓存
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||||
cached = await _get_cached_data()
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||||
if cached is not None:
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||||
# 兼容旧缓存:如果没有 official 字段则补全并回写
|
||||
try:
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needs_mark = False
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for provider_data in cached.values():
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||||
if not isinstance(provider_data, dict) or "official" not in provider_data:
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needs_mark = True
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break
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if needs_mark:
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marked_cached = _mark_official_providers(cached)
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await _set_cached_data(marked_cached)
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return JSONResponse(content=marked_cached)
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except Exception as e:
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logger.warning(f"处理 models.dev 缓存数据失败,将直接返回原缓存: {e}")
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||||
return JSONResponse(content=cached)
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||||
|
||||
# 从 models.dev 获取数据
|
||||
@@ -65,10 +111,13 @@ async def get_external_models(_: User = Depends(require_admin)) -> JSONResponse:
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||||
response.raise_for_status()
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||||
data = response.json()
|
||||
|
||||
# 写入缓存
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||||
await _set_cached_data(data)
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||||
# 标记官方提供商
|
||||
marked_data = _mark_official_providers(data)
|
||||
|
||||
return JSONResponse(content=data)
|
||||
# 写入缓存
|
||||
await _set_cached_data(marked_data)
|
||||
|
||||
return JSONResponse(content=marked_data)
|
||||
except httpx.TimeoutException:
|
||||
raise HTTPException(status_code=504, detail="请求 models.dev 超时")
|
||||
except httpx.HTTPStatusError as e:
|
||||
@@ -77,3 +126,16 @@ async def get_external_models(_: User = Depends(require_admin)) -> JSONResponse:
|
||||
)
|
||||
except Exception as e:
|
||||
raise HTTPException(status_code=502, detail=f"获取外部模型数据失败: {str(e)}")
|
||||
|
||||
|
||||
@router.delete("/external/cache")
|
||||
async def clear_external_models_cache(_: User = Depends(require_admin)) -> dict:
|
||||
"""清除 models.dev 缓存"""
|
||||
redis = await get_redis_client()
|
||||
if redis is None:
|
||||
return {"cleared": False, "message": "Redis 未启用"}
|
||||
try:
|
||||
await redis.delete(CACHE_KEY)
|
||||
return {"cleared": True}
|
||||
except Exception as e:
|
||||
raise HTTPException(status_code=500, detail=f"清除缓存失败: {str(e)}")
|
||||
|
||||
@@ -65,6 +65,21 @@ class ModelInfo:
|
||||
created_at: Optional[str] # ISO 格式
|
||||
created_timestamp: int # Unix 时间戳
|
||||
provider_name: str
|
||||
# 能力配置
|
||||
streaming: bool = True
|
||||
vision: bool = False
|
||||
function_calling: bool = False
|
||||
extended_thinking: bool = False
|
||||
image_generation: bool = False
|
||||
structured_output: bool = False
|
||||
# 规格参数
|
||||
context_limit: Optional[int] = None
|
||||
output_limit: Optional[int] = None
|
||||
# 元信息
|
||||
family: Optional[str] = None
|
||||
knowledge_cutoff: Optional[str] = None
|
||||
input_modalities: Optional[list[str]] = None
|
||||
output_modalities: Optional[list[str]] = None
|
||||
|
||||
|
||||
def get_available_provider_ids(db: Session, api_formats: list[str]) -> set[str]:
|
||||
@@ -181,13 +196,19 @@ def _extract_model_info(model: Any) -> ModelInfo:
|
||||
global_model = model.global_model
|
||||
model_id: str = global_model.name if global_model else model.provider_model_name
|
||||
display_name: str = global_model.display_name if global_model else model.provider_model_name
|
||||
description: Optional[str] = global_model.description if global_model else None
|
||||
created_at: Optional[str] = (
|
||||
model.created_at.strftime("%Y-%m-%dT%H:%M:%SZ") if model.created_at else None
|
||||
)
|
||||
created_timestamp: int = int(model.created_at.timestamp()) if model.created_at else 0
|
||||
provider_name: str = model.provider.name if model.provider else "unknown"
|
||||
|
||||
# 从 GlobalModel.config 提取配置信息
|
||||
config: dict = {}
|
||||
description: Optional[str] = None
|
||||
if global_model:
|
||||
config = global_model.config or {}
|
||||
description = config.get("description")
|
||||
|
||||
return ModelInfo(
|
||||
id=model_id,
|
||||
display_name=display_name,
|
||||
@@ -195,6 +216,21 @@ def _extract_model_info(model: Any) -> ModelInfo:
|
||||
created_at=created_at,
|
||||
created_timestamp=created_timestamp,
|
||||
provider_name=provider_name,
|
||||
# 能力配置
|
||||
streaming=config.get("streaming", True),
|
||||
vision=config.get("vision", False),
|
||||
function_calling=config.get("function_calling", False),
|
||||
extended_thinking=config.get("extended_thinking", False),
|
||||
image_generation=config.get("image_generation", False),
|
||||
structured_output=config.get("structured_output", False),
|
||||
# 规格参数
|
||||
context_limit=config.get("context_limit"),
|
||||
output_limit=config.get("output_limit"),
|
||||
# 元信息
|
||||
family=config.get("family"),
|
||||
knowledge_cutoff=config.get("knowledge_cutoff"),
|
||||
input_modalities=config.get("input_modalities"),
|
||||
output_modalities=config.get("output_modalities"),
|
||||
)
|
||||
|
||||
|
||||
|
||||
@@ -251,8 +251,8 @@ def _build_gemini_list_response(
|
||||
"version": "001",
|
||||
"displayName": m.display_name,
|
||||
"description": m.description or f"Model {m.id}",
|
||||
"inputTokenLimit": 128000,
|
||||
"outputTokenLimit": 8192,
|
||||
"inputTokenLimit": m.context_limit if m.context_limit is not None else 128000,
|
||||
"outputTokenLimit": m.output_limit if m.output_limit is not None else 8192,
|
||||
"supportedGenerationMethods": ["generateContent", "countTokens"],
|
||||
"temperature": 1.0,
|
||||
"maxTemperature": 2.0,
|
||||
@@ -297,8 +297,8 @@ def _build_gemini_model_response(model_info: ModelInfo) -> dict:
|
||||
"version": "001",
|
||||
"displayName": model_info.display_name,
|
||||
"description": model_info.description or f"Model {model_info.id}",
|
||||
"inputTokenLimit": 128000,
|
||||
"outputTokenLimit": 8192,
|
||||
"inputTokenLimit": model_info.context_limit if model_info.context_limit is not None else 128000,
|
||||
"outputTokenLimit": model_info.output_limit if model_info.output_limit is not None else 8192,
|
||||
"supportedGenerationMethods": ["generateContent", "countTokens"],
|
||||
"temperature": 1.0,
|
||||
"maxTemperature": 2.0,
|
||||
|
||||
@@ -273,16 +273,17 @@ def get_db_url() -> str:
|
||||
|
||||
|
||||
def init_db():
|
||||
"""初始化数据库"""
|
||||
"""初始化数据库
|
||||
|
||||
注意:数据库表结构由 Alembic 管理,部署时请运行 ./migrate.sh
|
||||
"""
|
||||
logger.info("初始化数据库...")
|
||||
|
||||
# 确保引擎已创建
|
||||
engine = _ensure_engine()
|
||||
_ensure_engine()
|
||||
|
||||
# 创建所有表
|
||||
Base.metadata.create_all(bind=engine)
|
||||
|
||||
# 数据库表已通过SQLAlchemy自动创建
|
||||
# 数据库表结构由 Alembic 迁移管理
|
||||
# 首次部署或更新后请运行: ./migrate.sh
|
||||
|
||||
db = _SessionLocal()
|
||||
try:
|
||||
|
||||
Reference in New Issue
Block a user