mirror of
https://github.com/fawney19/Aether.git
synced 2026-10-09 02:47:45 +08:00
Merge remote-tracking branch 'upstream/main'
# Conflicts: # apps/aether-gateway/src/handlers/admin/provider/endpoints_admin/payloads.rs # apps/aether-gateway/src/handlers/admin/provider/endpoints_admin/reads.rs # apps/aether-gateway/src/handlers/admin/provider/endpoints_admin/update.rs # apps/aether-gateway/src/tests/control/admin/endpoints/routes.rs # frontend/src/features/models/components/GlobalModelFormDialog.vue # frontend/src/features/providers/components/ProviderModelFormDialog.vue # frontend/src/features/providers/components/provider-tabs/__tests__/model-test-request.spec.ts # frontend/src/features/providers/components/provider-tabs/model-test-request.ts
This commit is contained in:
ZheFox
@@ -11,27 +11,13 @@
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class="space-y-4"
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@submit.prevent="handleSubmit"
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>
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<!-- 添加模式：选择或手动创建本地全局模型 -->
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<!-- 添加模式：选择本地全局模型 -->
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<div
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v-if="!isEditing"
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class="space-y-3"
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>
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<div class="flex items-center justify-between gap-3">
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<Label for="global-model">选择已有模型或手动添加 *</Label>
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<Button
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type="button"
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variant="ghost"
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size="sm"
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class="h-7 px-2 text-xs"
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@click="manualGlobalModelMode = !manualGlobalModelMode"
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>
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{{ manualGlobalModelMode ? '选择已有模型' : '手动添加' }}
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</Button>
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</div>
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<div
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v-if="!manualGlobalModelMode"
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class="space-y-2"
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>
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<div class="space-y-1.5">
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<Label for="global-model">选择已有模型 *</Label>
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<Select
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:model-value="form.global_model_id"
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:disabled="loadingGlobalModels"
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@@ -51,44 +37,11 @@
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</SelectContent>
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</Select>
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</div>
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<div
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v-else
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class="rounded-lg border border-border/60 bg-muted/20 p-3 space-y-3"
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>
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<div class="grid grid-cols-2 gap-3">
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<div class="space-y-1.5">
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<Label
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for="manual-global-model-name"
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class="text-xs"
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>模型ID *</Label>
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<Input
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id="manual-global-model-name"
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v-model="form.manual_global_model_name"
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placeholder="如 gpt-4o-mini"
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@update:model-value="syncManualProviderName"
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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="manual-global-model-display-name"
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class="text-xs"
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>显示名称</Label>
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<Input
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id="manual-global-model-display-name"
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v-model="form.manual_global_model_display_name"
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placeholder="默认使用模型ID"
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/>
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</div>
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</div>
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<p class="text-xs text-muted-foreground">
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无法联网获取模型目录时，可直接填写模型ID。保存时会先创建本地全局模型，再添加到当前 Provider。
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</p>
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</div>
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<p
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v-if="availableGlobalModels.length === 0 && !loadingGlobalModels && !manualGlobalModelMode"
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v-if="availableGlobalModels.length === 0 && !loadingGlobalModels"
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class="text-xs text-muted-foreground"
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>
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没有可选择的本地全局模型。可以切换到“手动添加”继续保存。
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没有可选择的本地全局模型。请先在模型管理中添加全局模型。
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</p>
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<div class="space-y-1.5">
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<Label
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@@ -320,7 +273,7 @@ import {
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import { useToast } from '@/composables/useToast'
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import { parseNumberInput, sortResolutionEntries } from '@/utils/form'
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import { createModel, updateModel, getProviderModels } from '@/api/endpoints/models'
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import { createGlobalModel, listGlobalModels, type GlobalModelResponse } from '@/api/global-models'
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import { listGlobalModels, type GlobalModelResponse } from '@/api/global-models'
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import TieredPricingEditor from '@/features/models/components/TieredPricingEditor.vue'
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import type { Model, TieredPricingConfig } from '@/api/endpoints'
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import {
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@@ -387,7 +340,6 @@ const showCache1h = true
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const submitting = ref(false)
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const loadingGlobalModels = ref(false)
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const availableGlobalModels = ref<GlobalModelResponse[]>([])
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const manualGlobalModelMode = ref(false)
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// 阶梯计费配置
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const tieredPricing = ref<TieredPricingConfig | null>(null)
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@@ -422,15 +374,9 @@ const VIDEO_RESOLUTION_PRICE_PRESETS: Record<
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],
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}
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const DEFAULT_MANUAL_GLOBAL_MODEL_PRICING: TieredPricingConfig = {
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tiers: [{ up_to: null, input_price_per_1m: 0, output_price_per_1m: 0 }],
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}
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const form = ref({
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global_model_id: '',
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provider_model_name: '',
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manual_global_model_name: '',
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manual_global_model_display_name: '',
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price_per_request: undefined as number | undefined,
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config: {} as Record<string, unknown>,
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// 能力配置
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@@ -446,7 +392,6 @@ const imageGenerationExplicitOverride = ref<boolean | null>(null)
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const canSubmitCreate = computed(() => {
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if (isEditing.value) return true
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if (!form.value.provider_model_name.trim()) return false
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if (manualGlobalModelMode.value) return !!form.value.manual_global_model_name.trim()
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return !!form.value.global_model_id
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})
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@@ -462,8 +407,6 @@ watch(() => props.open, async (newOpen) => {
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form.value = {
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global_model_id: props.editingModel.global_model_id || '',
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provider_model_name: props.editingModel.provider_model_name || '',
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manual_global_model_name: '',
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manual_global_model_display_name: '',
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// 显示有效的按次计费价格（继承自全局模型）
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price_per_request: props.editingModel.effective_price_per_request ?? props.editingModel.price_per_request ?? undefined,
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config: effectiveConfig ? JSON.parse(JSON.stringify(effectiveConfig)) : {},
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@@ -526,8 +469,6 @@ function resetForm() {
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form.value = {
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global_model_id: '',
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provider_model_name: '',
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manual_global_model_name: '',
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manual_global_model_display_name: '',
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price_per_request: undefined,
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config: {},
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supports_vision: undefined,
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@@ -543,7 +484,6 @@ function resetForm() {
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tieredPricingModified.value = false
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originalTieredPricing.value = ''
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availableGlobalModels.value = []
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manualGlobalModelMode.value = false
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}
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function handleGlobalModelSelect(value: string) {
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@@ -554,16 +494,6 @@ function handleGlobalModelSelect(value: string) {
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form.value.provider_model_name = selectedModel?.name || form.value.provider_model_name
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}
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function syncManualProviderName(value: string | number) {
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const modelName = String(value || '').trim()
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if (!form.value.provider_model_name.trim()) {
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form.value.provider_model_name = modelName
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}
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if (!form.value.manual_global_model_display_name.trim()) {
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form.value.manual_global_model_display_name = modelName
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}
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}
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function modelSupportsImageGeneration(model: {
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supported_capabilities?: string[] | null
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supports_image_generation?: boolean | null
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@@ -753,32 +683,6 @@ function _copyVideoPricingFromSelectedGlobal() {
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configTouched.value = true
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}
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async function createManualGlobalModel(
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finalTieredPricing: TieredPricingConfig | null,
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cleanConfig: Record<string, unknown> | undefined,
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supportsImageGeneration: boolean,
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): Promise<GlobalModelResponse> {
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const modelName = form.value.manual_global_model_name.trim()
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const displayName = form.value.manual_global_model_display_name.trim() || modelName
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const supportedCapabilities = [
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form.value.supports_vision === true ? 'vision' : null,
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form.value.supports_function_calling === true ? 'function_calling' : null,
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form.value.supports_streaming === true ? 'streaming' : null,
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form.value.supports_extended_thinking === true ? 'extended_thinking' : null,
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supportsImageGeneration ? 'image_generation' : null,
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].filter((capability): capability is string => capability !== null)
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return createGlobalModel({
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name: modelName,
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display_name: displayName,
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default_price_per_request: form.value.price_per_request,
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default_tiered_pricing: finalTieredPricing || DEFAULT_MANUAL_GLOBAL_MODEL_PRICING,
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supported_capabilities: supportedCapabilities.length ? supportedCapabilities : undefined,
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config: cleanConfig,
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is_active: true,
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})
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}
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// 加载可用的全局模型（排除已添加的）
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async function loadAvailableGlobalModels() {
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loadingGlobalModels.value = true
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@@ -816,7 +720,7 @@ function handleClose(value: boolean) {
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async function handleSubmit() {
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if (submitting.value) return
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if (!isEditing.value && !canSubmitCreate.value) {
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showError(manualGlobalModelMode.value ? '请填写模型ID和 Provider 模型名' : '请选择模型并填写 Provider 模型名', '错误')
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showError('请选择模型并填写 Provider 模型名', '错误')
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return
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}
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@@ -850,21 +754,19 @@ async function handleSubmit() {
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showSuccess('模型配置已更新')
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} else {
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// 添加模式：只有用户修改了配置才提交 tiered_pricing，否则保持继承关系
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const selectedModel = manualGlobalModelMode.value
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? await createManualGlobalModel(finalTieredPricing, cleanConfig, supportsImageGeneration)
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: availableGlobalModels.value.find(m => m.id === form.value.global_model_id)
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const selectedModel = availableGlobalModels.value.find(m => m.id === form.value.global_model_id)
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if (!selectedModel) {
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showError('请选择模型，或切换到手动添加后填写模型ID', '错误')
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showError('请选择模型', '错误')
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return
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}
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await createModel(props.providerId, buildProviderModelCreatePayload({
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globalModelId: selectedModel.id,
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providerModelName: form.value.provider_model_name.trim(),
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finalTieredPricing,
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tieredPricingModified: manualGlobalModelMode.value ? false : tieredPricingModified.value,
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pricePerRequest: manualGlobalModelMode.value ? undefined : form.value.price_per_request,
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tieredPricingModified: tieredPricingModified.value,
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pricePerRequest: form.value.price_per_request,
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cleanConfig,
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configTouched: manualGlobalModelMode.value ? false : configTouched.value,
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configTouched: configTouched.value,
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supportsVision: form.value.supports_vision,
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supportsFunctionCalling: form.value.supports_function_calling,
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supportsStreaming: form.value.supports_streaming,
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+1
-1
@@ -49,7 +49,7 @@ describe('provider model form embedding helpers', () => {
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expect('supports_embedding' in payload).toBe(false)
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})
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it('uses manually supplied provider model name in create payload', () => {
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it('uses supplied provider model name in create payload', () => {
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const payload = buildProviderModelCreatePayload({
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globalModelId: 'gm-local-manual',
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providerModelName: 'intranet-chat-model-v1',
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@@ -374,6 +374,7 @@ import {
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isModelTestableEndpoint,
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parseModelTestRequestHeadersDraft,
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parseModelTestRequestBodyDraft,
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selectPreferredModelTestEndpoint,
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syncModelTestRequestBodyDraft,
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} from './model-test-request'
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@@ -428,6 +429,7 @@ const deletingGroup = ref<AliasGroup | null>(null)
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const testingMapping = ref<string | null>(null)
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const pendingMappingKey = ref<string | null>(null)
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const testingModelName = ref<string | null>(null)
|
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const testingSourceModel = ref<Model | null>(null)
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const preselectedModelId = ref<string | null>(null)
|
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const selectedTestEndpoint = ref<ProviderEndpoint | null>(null)
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const testRequestHeadersDraft = ref('')
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@@ -716,6 +718,7 @@ function handleTestDialogClose() {
|
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modelTest.resetState()
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pendingMappingKey.value = null
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testingModelName.value = null
|
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testingSourceModel.value = null
|
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testingMapping.value = null
|
||||
selectedTestEndpoint.value = null
|
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mappingTestEndpoints.value = null
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@@ -738,8 +741,25 @@ function handleSelectTestEndpoint(endpointId: string) {
|
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syncMappingTestRequestBody()
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}
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|
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function findMappingTestModel(modelName: string): Model | null {
|
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const normalized = modelName.trim()
|
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if (!normalized) return null
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|
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return models.value.find(model => (
|
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model.provider_model_name === normalized
|
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|| model.global_model_name === normalized
|
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|| model.global_model_display_name === normalized
|
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|| (model.provider_model_mappings ?? []).some(alias => alias.name === normalized)
|
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)) ?? null
|
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}
|
||||
|
||||
// 测试映射（直连测试，带故障转移和实时进度）
|
||||
function runMappingTest(testingKey: string, modelName: string, endpointsOverride?: ProviderEndpoint[]) {
|
||||
function runMappingTest(
|
||||
testingKey: string,
|
||||
modelName: string,
|
||||
endpointsOverride?: ProviderEndpoint[],
|
||||
sourceModel?: Model | null,
|
||||
) {
|
||||
const endpoints = endpointsOverride ?? activeEndpoints.value
|
||||
if (endpoints.length === 0) {
|
||||
showError('暂无可用于测试的活跃端点')
|
||||
@@ -750,8 +770,12 @@ function runMappingTest(testingKey: string, modelName: string, endpointsOverride
|
||||
modelTest.dialogOpen.value = true
|
||||
testingMapping.value = null
|
||||
testingModelName.value = modelName
|
||||
testingSourceModel.value = sourceModel ?? findMappingTestModel(modelName)
|
||||
mappingTestEndpoints.value = endpointsOverride ?? null
|
||||
selectedTestEndpoint.value = endpoints[0] ?? null
|
||||
selectedTestEndpoint.value = selectPreferredModelTestEndpoint(
|
||||
testingSourceModel.value,
|
||||
endpoints,
|
||||
)
|
||||
testRequestHeadersResetValue.value = buildDefaultModelTestRequestHeaders()
|
||||
testRequestHeadersDraft.value = testRequestHeadersResetValue.value
|
||||
resetMappingTestRequestBody()
|
||||
@@ -763,6 +787,7 @@ function resetMappingTestRequestBody() {
|
||||
testRequestBodyResetValue.value = buildDefaultModelTestRequestBody(
|
||||
testingModelName.value,
|
||||
selectedTestEndpoint.value?.api_format,
|
||||
testingSourceModel.value,
|
||||
)
|
||||
testRequestBodyDraft.value = testRequestBodyResetValue.value
|
||||
}
|
||||
@@ -773,6 +798,7 @@ function syncMappingTestRequestBody() {
|
||||
const nextResetValue = buildDefaultModelTestRequestBody(
|
||||
testingModelName.value,
|
||||
selectedTestEndpoint.value?.api_format,
|
||||
testingSourceModel.value,
|
||||
)
|
||||
const next = syncModelTestRequestBodyDraft(
|
||||
testRequestBodyDraft.value,
|
||||
@@ -840,7 +866,7 @@ function scopedMappingEndpoints(item: CombinedMapping): ProviderEndpoint[] {
|
||||
|
||||
// 测试精确映射
|
||||
function testMapping(item: CombinedMapping, mapping: MappingItem) {
|
||||
runMappingTest(`${item.key}-${mapping.name}`, mapping.name, scopedMappingEndpoints(item))
|
||||
runMappingTest(`${item.key}-${mapping.name}`, mapping.name, scopedMappingEndpoints(item), item.group?.model)
|
||||
}
|
||||
|
||||
// 测试正则映射
|
||||
|
||||
@@ -444,7 +444,27 @@
|
||||
{{ attempt.key_name || maskKey(attempt.key_id) }}
|
||||
</div>
|
||||
<div
|
||||
v-if="attemptDetail(attempt) !== '-'"
|
||||
v-if="attemptImagePreviews(attempt).length > 0"
|
||||
class="mt-2 flex flex-wrap gap-2"
|
||||
>
|
||||
<button
|
||||
v-for="(preview, imageIndex) in attemptImagePreviews(attempt).slice(0, 3)"
|
||||
:key="`${preview.src}-${imageIndex}`"
|
||||
type="button"
|
||||
class="h-16 w-16 overflow-hidden rounded-md border border-border/60 bg-muted/30 transition-colors hover:border-primary/60"
|
||||
:title="preview.label"
|
||||
@click.stop="openImagePreview(preview)"
|
||||
>
|
||||
<img
|
||||
:src="preview.src"
|
||||
:alt="preview.label"
|
||||
class="h-full w-full object-contain"
|
||||
loading="lazy"
|
||||
>
|
||||
</button>
|
||||
</div>
|
||||
<div
|
||||
v-else-if="attemptDetail(attempt) !== '-'"
|
||||
class="mt-1 break-all text-muted-foreground"
|
||||
>
|
||||
{{ attemptDetail(attempt) }}
|
||||
@@ -519,6 +539,33 @@
|
||||
</td>
|
||||
<td class="px-3 py-2 text-muted-foreground">
|
||||
<div
|
||||
v-if="attemptImagePreviews(attempt).length > 0"
|
||||
class="flex flex-wrap gap-2"
|
||||
>
|
||||
<button
|
||||
v-for="(preview, imageIndex) in attemptImagePreviews(attempt).slice(0, 4)"
|
||||
:key="`${preview.src}-${imageIndex}`"
|
||||
type="button"
|
||||
class="h-14 w-14 overflow-hidden rounded-md border border-border/60 bg-muted/30 transition-colors hover:border-primary/60 focus-visible:outline-none focus-visible:ring-1 focus-visible:ring-primary/70"
|
||||
:title="preview.label"
|
||||
@click.stop="openImagePreview(preview)"
|
||||
>
|
||||
<img
|
||||
:src="preview.src"
|
||||
:alt="preview.label"
|
||||
class="h-full w-full object-contain"
|
||||
loading="lazy"
|
||||
>
|
||||
</button>
|
||||
<span
|
||||
v-if="attemptImagePreviews(attempt).length > 4"
|
||||
class="flex h-14 items-center rounded-md border border-border/60 px-2 text-xs text-muted-foreground"
|
||||
>
|
||||
+{{ attemptImagePreviews(attempt).length - 4 }}
|
||||
</span>
|
||||
</div>
|
||||
<div
|
||||
v-else
|
||||
class="line-clamp-2 break-all"
|
||||
:title="attemptDetail(attempt)"
|
||||
>
|
||||
@@ -641,6 +688,36 @@
|
||||
</TabsContent>
|
||||
|
||||
<TabsContent value="response-body">
|
||||
<div
|
||||
v-if="selectedInspectionImagePreviews.length > 0"
|
||||
class="mb-3 rounded-md border border-border/60 bg-muted/20 p-3"
|
||||
>
|
||||
<div class="mb-3 flex items-center justify-between gap-3 text-xs text-muted-foreground">
|
||||
<span>图片预览</span>
|
||||
<span>{{ selectedInspectionImagePreviews.length }} 张</span>
|
||||
</div>
|
||||
<div class="grid gap-3 sm:grid-cols-2 xl:grid-cols-3">
|
||||
<button
|
||||
v-for="(preview, index) in selectedInspectionImagePreviews"
|
||||
:key="`${preview.src}-${index}`"
|
||||
type="button"
|
||||
class="group block overflow-hidden rounded-md border border-border/60 bg-background text-left transition-colors hover:border-primary/60 focus-visible:outline-none focus-visible:ring-1 focus-visible:ring-primary/70"
|
||||
@click="openImagePreview(preview)"
|
||||
>
|
||||
<div class="aspect-square w-full overflow-hidden bg-muted/30">
|
||||
<img
|
||||
:src="preview.src"
|
||||
:alt="preview.label"
|
||||
class="h-full w-full object-contain"
|
||||
loading="lazy"
|
||||
>
|
||||
</div>
|
||||
<div class="border-t border-border/60 px-2 py-1 text-[11px] text-muted-foreground">
|
||||
{{ preview.label }}
|
||||
</div>
|
||||
</button>
|
||||
</div>
|
||||
</div>
|
||||
<JsonContent
|
||||
:data="selectedInspectionAttempt.response_body"
|
||||
view-mode="formatted"
|
||||
@@ -673,6 +750,39 @@
|
||||
</Button>
|
||||
</template>
|
||||
</Dialog>
|
||||
|
||||
<Dialog
|
||||
:open="Boolean(activeImagePreview)"
|
||||
size="6xl"
|
||||
:z-index="120"
|
||||
@update:open="(val: boolean) => { if (!val) activeImagePreview = null }"
|
||||
>
|
||||
<template #header>
|
||||
<div class="border-b border-border px-6 py-4">
|
||||
<div class="text-lg font-semibold text-foreground leading-tight">
|
||||
{{ activeImagePreview?.label || '图片预览' }}
|
||||
</div>
|
||||
</div>
|
||||
</template>
|
||||
|
||||
<div class="flex max-h-[76vh] items-center justify-center overflow-auto rounded-md bg-muted/20 p-3">
|
||||
<img
|
||||
v-if="activeImagePreview"
|
||||
:src="activeImagePreview.src"
|
||||
:alt="activeImagePreview.label"
|
||||
class="max-h-[72vh] max-w-full rounded-md object-contain"
|
||||
>
|
||||
</div>
|
||||
|
||||
<template #footer>
|
||||
<Button
|
||||
variant="outline"
|
||||
@click="activeImagePreview = null"
|
||||
>
|
||||
关闭
|
||||
</Button>
|
||||
</template>
|
||||
</Dialog>
|
||||
</template>
|
||||
|
||||
<script setup lang="ts">
|
||||
@@ -698,7 +808,12 @@ import type { CandidateRecord, RequestTrace } from '@/api/requestTrace'
|
||||
import JsonContent from '@/features/usage/components/RequestDetailDrawer/JsonContent.vue'
|
||||
import { useClipboard } from '@/composables/useClipboard'
|
||||
import { useDarkMode } from '@/composables/useDarkMode'
|
||||
import { extractModelTestResponsePreview, formatModelTestDiagnostic } from './model-test-request'
|
||||
import {
|
||||
extractModelTestImagePreviews,
|
||||
extractModelTestResponsePreview,
|
||||
formatModelTestDiagnostic,
|
||||
} from './model-test-request'
|
||||
import type { ModelTestImagePreview } from './model-test-request'
|
||||
|
||||
type TestEndpointOption = {
|
||||
id: string
|
||||
@@ -816,6 +931,7 @@ const inspectionTab = ref<'request-headers' | 'request-body' | 'response-headers
|
||||
const selectedInspectionKey = ref<string | null>(null)
|
||||
const inspectionExpandDepth = ref(0)
|
||||
const inspectionCopiedStates = ref<Record<string, boolean>>({})
|
||||
const activeImagePreview = ref<ModelTestImagePreview | null>(null)
|
||||
|
||||
watch(() => props.result, () => {
|
||||
showAllAttempts.value = false
|
||||
@@ -1129,6 +1245,12 @@ const selectedInspectionAttempt = computed(() => {
|
||||
return inspectableAttempts.value[0] ?? resultAttempts.value[0] ?? null
|
||||
})
|
||||
|
||||
const selectedInspectionImagePreviews = computed(() => (
|
||||
selectedInspectionAttempt.value
|
||||
? extractModelTestImagePreviews(selectedInspectionAttempt.value.response_body)
|
||||
: []
|
||||
))
|
||||
|
||||
const resultWinningTitle = computed(() => {
|
||||
const summary = resultSummary.value
|
||||
const keyName = summary.winning_key_name || summary.winning_key_id
|
||||
@@ -1238,6 +1360,7 @@ function formatAuthType(authType: string): string {
|
||||
if (lowered === 'codex') return 'Codex OAuth'
|
||||
if (lowered === 'antigravity') return 'Antigravity OAuth'
|
||||
if (lowered === 'kiro') return 'Kiro OAuth'
|
||||
if (lowered === 'grok') return 'Grok OAuth'
|
||||
return authType
|
||||
}
|
||||
|
||||
@@ -1295,6 +1418,14 @@ function attemptDetail(attempt: TestAttemptDetail): string {
|
||||
return '-'
|
||||
}
|
||||
|
||||
function attemptImagePreviews(attempt: TestAttemptDetail): ModelTestImagePreview[] {
|
||||
return extractModelTestImagePreviews(attempt.response_body)
|
||||
}
|
||||
|
||||
function openImagePreview(preview: ModelTestImagePreview) {
|
||||
activeImagePreview.value = preview
|
||||
}
|
||||
|
||||
function inspectionKey(attempt: TestAttemptDetail): string {
|
||||
return `${attempt.candidate_index}:${attempt.retry_index ?? 0}:${attempt.key_id}`
|
||||
}
|
||||
|
||||
@@ -272,6 +272,7 @@ import {
|
||||
normalizeModelTestMappedModelSelection,
|
||||
parseModelTestRequestHeadersDraft,
|
||||
parseModelTestRequestBodyDraft,
|
||||
selectPreferredModelTestEndpoint,
|
||||
syncModelTestRequestBodyDraft,
|
||||
} from './model-test-request'
|
||||
|
||||
@@ -587,7 +588,7 @@ async function testModelConnection(model: Model) {
|
||||
}
|
||||
|
||||
pendingTestModel.value = model
|
||||
selectedTestEndpoint.value = activeEndpoints.value[0] ?? null
|
||||
selectedTestEndpoint.value = selectPreferredModelTestEndpoint(model, activeEndpoints.value)
|
||||
const requestedModelName = getModelTestRequestedModelName(model)
|
||||
selectedTestMappedModelName.value = null
|
||||
testRequestHeadersResetValue.value = buildDefaultModelTestRequestHeaders()
|
||||
@@ -595,6 +596,7 @@ async function testModelConnection(model: Model) {
|
||||
testRequestBodyResetValue.value = buildDefaultModelTestRequestBody(
|
||||
requestedModelName,
|
||||
selectedTestEndpoint.value?.api_format,
|
||||
model,
|
||||
)
|
||||
testRequestBodyDraft.value = testRequestBodyResetValue.value
|
||||
modelTest.testResult.value = null
|
||||
@@ -620,7 +622,11 @@ function syncTestRequestBodyModel() {
|
||||
if (!modelName) return
|
||||
|
||||
const resetDraft = testRequestBodyResetValue.value
|
||||
|| buildDefaultModelTestRequestBody(modelName, selectedTestEndpoint.value?.api_format)
|
||||
|| buildDefaultModelTestRequestBody(
|
||||
modelName,
|
||||
selectedTestEndpoint.value?.api_format,
|
||||
pendingTestModel.value,
|
||||
)
|
||||
const next = syncModelTestRequestBodyDraft(
|
||||
testRequestBodyDraft.value,
|
||||
testRequestBodyResetValue.value,
|
||||
@@ -638,6 +644,7 @@ function resetTestRequestBodyForSelectedEndpoint() {
|
||||
const nextResetValue = buildDefaultModelTestRequestBody(
|
||||
modelName,
|
||||
selectedTestEndpoint.value?.api_format,
|
||||
pendingTestModel.value,
|
||||
)
|
||||
const next = syncModelTestRequestBodyDraft(
|
||||
testRequestBodyDraft.value,
|
||||
|
||||
+184
@@ -3,12 +3,15 @@ import { describe, expect, it } from 'vitest'
|
||||
import {
|
||||
buildDefaultModelTestRequestBody,
|
||||
buildExactModelMappingTestRequest,
|
||||
extractModelTestImagePreviews,
|
||||
extractModelTestResponsePreview,
|
||||
formatModelTestDiagnostic,
|
||||
getOpenAiImageModelTestMaxGenerationCount,
|
||||
isModelTestableEndpoint,
|
||||
isModelTestableApiFormat,
|
||||
listModelTestMappedModelOptions,
|
||||
normalizeModelTestMappedModelSelection,
|
||||
selectPreferredModelTestEndpoint,
|
||||
setModelTestRequestBodyModel,
|
||||
syncModelTestRequestBodyDraft,
|
||||
} from '../model-test-request'
|
||||
@@ -68,6 +71,28 @@ describe('buildDefaultModelTestRequestBody', () => {
|
||||
expect(body.messages).toBeUndefined()
|
||||
})
|
||||
|
||||
it('uses image generation tools for image models on OpenAI Responses endpoints', () => {
|
||||
const body = JSON.parse(buildDefaultModelTestRequestBody(
|
||||
'gpt-image-2',
|
||||
'openai:responses',
|
||||
{
|
||||
effective_supports_image_generation: true,
|
||||
},
|
||||
))
|
||||
|
||||
expect(body.model).toBe('gpt-image-2')
|
||||
expect(body.input).toBe('Hello! This is a test message.')
|
||||
expect(body.tools).toEqual([
|
||||
{
|
||||
type: 'image_generation',
|
||||
size: '1024x1024',
|
||||
output_format: 'png',
|
||||
},
|
||||
])
|
||||
expect(body.tool_choice).toEqual({ type: 'image_generation' })
|
||||
expect(body.messages).toBeUndefined()
|
||||
})
|
||||
|
||||
it('lists endpoint-scoped provider model mappings in test selection order', () => {
|
||||
const options = listModelTestMappedModelOptions({
|
||||
provider_model_name: 'claude-opus-4-6',
|
||||
@@ -219,6 +244,7 @@ describe('isModelTestableApiFormat', () => {
|
||||
'openai:image',
|
||||
'claude:messages',
|
||||
'gemini:generate_content',
|
||||
'openai:image',
|
||||
'openai:embedding',
|
||||
'jina:rerank',
|
||||
])('allows synchronous model-test endpoint formats: %s', (apiFormat) => {
|
||||
@@ -226,6 +252,75 @@ describe('isModelTestableApiFormat', () => {
|
||||
})
|
||||
})
|
||||
|
||||
describe('selectPreferredModelTestEndpoint', () => {
|
||||
it('prefers openai image endpoints for image generation models', () => {
|
||||
const chatEndpoint = { id: 'chat', api_format: 'openai:chat', is_active: true }
|
||||
const imageEndpoint = { id: 'image', api_format: 'openai:image', is_active: true }
|
||||
|
||||
expect(selectPreferredModelTestEndpoint({
|
||||
effective_supports_image_generation: true,
|
||||
}, [chatEndpoint, imageEndpoint])).toBe(imageEndpoint)
|
||||
})
|
||||
|
||||
it('prefers openai image endpoints from model-test capability metadata', () => {
|
||||
const chatEndpoint = { id: 'chat', api_format: 'openai:chat', is_active: true }
|
||||
const imageEndpoint = { id: 'image', api_format: 'openai:image', is_active: true }
|
||||
|
||||
expect(selectPreferredModelTestEndpoint({
|
||||
effective_supports_image_generation: false,
|
||||
model_test_capabilities: {
|
||||
'openai:image': {
|
||||
supports_generation: true,
|
||||
max_generation_count: 4,
|
||||
},
|
||||
},
|
||||
}, [chatEndpoint, imageEndpoint])).toBe(imageEndpoint)
|
||||
})
|
||||
|
||||
it('does not treat edit-only image capability as generation support', () => {
|
||||
const chatEndpoint = { id: 'chat', api_format: 'openai:chat', is_active: true }
|
||||
const imageEndpoint = { id: 'image', api_format: 'openai:image', is_active: true }
|
||||
|
||||
expect(selectPreferredModelTestEndpoint({
|
||||
effective_supports_image_generation: true,
|
||||
model_test_capabilities: {
|
||||
'openai:image': {
|
||||
supports_generation: false,
|
||||
supports_edit: true,
|
||||
max_generation_count: 4,
|
||||
},
|
||||
},
|
||||
}, [chatEndpoint, imageEndpoint])).toBe(chatEndpoint)
|
||||
})
|
||||
|
||||
it('keeps the existing endpoint order for non-image models', () => {
|
||||
const chatEndpoint = { id: 'chat', api_format: 'openai:chat', is_active: true }
|
||||
const imageEndpoint = { id: 'image', api_format: 'openai:image', is_active: true }
|
||||
|
||||
expect(selectPreferredModelTestEndpoint({
|
||||
effective_supports_image_generation: false,
|
||||
}, [chatEndpoint, imageEndpoint])).toBe(chatEndpoint)
|
||||
})
|
||||
})
|
||||
|
||||
describe('getOpenAiImageModelTestMaxGenerationCount', () => {
|
||||
it('reads image generation count from backend capability metadata', () => {
|
||||
expect(getOpenAiImageModelTestMaxGenerationCount({
|
||||
model_test_capabilities: {
|
||||
'openai:image': {
|
||||
max_generation_count: 4,
|
||||
},
|
||||
},
|
||||
})).toBe(4)
|
||||
})
|
||||
|
||||
it('returns null when backend capability metadata is absent', () => {
|
||||
expect(getOpenAiImageModelTestMaxGenerationCount({
|
||||
effective_supports_image_generation: true,
|
||||
})).toBeNull()
|
||||
})
|
||||
})
|
||||
|
||||
describe('isModelTestableEndpoint', () => {
|
||||
it('requires at least one active key compatible with the endpoint format', () => {
|
||||
const keys = [
|
||||
@@ -373,6 +468,95 @@ describe('extractModelTestResponsePreview', () => {
|
||||
})).toBe('Rerank 结果：2 条')
|
||||
})
|
||||
|
||||
it('extracts image URLs from OpenAI image responses', () => {
|
||||
expect(extractModelTestResponsePreview({
|
||||
data: [
|
||||
{
|
||||
url: 'https://example.com/generated.png',
|
||||
revised_prompt: 'A generated image',
|
||||
},
|
||||
],
|
||||
})).toBe('图片：https://example.com/generated.png')
|
||||
})
|
||||
|
||||
it('summarizes base64 image responses without dumping the image payload', () => {
|
||||
expect(extractModelTestResponsePreview({
|
||||
data: [
|
||||
{
|
||||
b64_json: 'aGVsbG8=',
|
||||
},
|
||||
],
|
||||
})).toBe('图片：base64')
|
||||
})
|
||||
|
||||
it('extracts renderable base64 image previews from OpenAI image responses', () => {
|
||||
expect(extractModelTestImagePreviews({
|
||||
data: [
|
||||
{
|
||||
b64_json: 'aGVsbG8=',
|
||||
mime_type: 'image/jpeg',
|
||||
},
|
||||
],
|
||||
})).toEqual([
|
||||
{
|
||||
src: 'data:image/jpeg;base64,aGVsbG8=',
|
||||
label: '图片 1',
|
||||
source: 'base64',
|
||||
},
|
||||
])
|
||||
})
|
||||
|
||||
it('extracts image previews from nested response image urls', () => {
|
||||
expect(extractModelTestImagePreviews({
|
||||
output: [
|
||||
{
|
||||
content: [
|
||||
{
|
||||
type: 'output_image',
|
||||
image_url: {
|
||||
url: 'https://example.com/generated.png',
|
||||
},
|
||||
},
|
||||
],
|
||||
},
|
||||
],
|
||||
})).toEqual([
|
||||
{
|
||||
src: 'https://example.com/generated.png',
|
||||
label: '图片 1',
|
||||
source: 'url',
|
||||
},
|
||||
])
|
||||
})
|
||||
|
||||
it('extracts image previews from OpenAI Responses image_generation_call results', () => {
|
||||
expect(extractModelTestResponsePreview({
|
||||
output: [
|
||||
{
|
||||
type: 'image_generation_call',
|
||||
output_format: 'png',
|
||||
result: 'aGVsbG8=',
|
||||
},
|
||||
],
|
||||
})).toBe('图片：base64')
|
||||
|
||||
expect(extractModelTestImagePreviews({
|
||||
output: [
|
||||
{
|
||||
type: 'image_generation_call',
|
||||
output_format: 'png',
|
||||
result: 'aGVsbG8=',
|
||||
},
|
||||
],
|
||||
})).toEqual([
|
||||
{
|
||||
src: 'data:image/png;base64,aGVsbG8=',
|
||||
label: '图片 1',
|
||||
source: 'base64',
|
||||
},
|
||||
])
|
||||
})
|
||||
|
||||
it('falls back to response model when no text payload exists', () => {
|
||||
expect(extractModelTestResponsePreview({
|
||||
model: 'glm-4.5-air',
|
||||
|
||||
@@ -0,0 +1,111 @@
|
||||
import { normalizeApiFormatAlias } from '@/api/endpoints/types/api-format'
|
||||
import type { ModelTestCapabilities, OpenAiImageModelTestCapability } from '@/api/endpoints/types'
|
||||
|
||||
export type ModelTestEndpointSource = {
|
||||
api_format: string
|
||||
is_active?: boolean | null
|
||||
}
|
||||
|
||||
export type ModelTestImageSource = {
|
||||
effective_supports_image_generation?: boolean | null
|
||||
supports_image_generation?: boolean | null
|
||||
model_test_capabilities?: ModelTestCapabilities | null
|
||||
}
|
||||
|
||||
export type ModelTestKeySource = {
|
||||
api_formats?: string[] | null
|
||||
is_active?: boolean | null
|
||||
}
|
||||
|
||||
const MODEL_TEST_UNSUPPORTED_API_FORMATS = new Set([
|
||||
'openai:video',
|
||||
'gemini:video',
|
||||
'gemini:files',
|
||||
])
|
||||
|
||||
const MODEL_TEST_DIAGNOSTIC_LABELS: Record<string, string> = {
|
||||
pool_account_blocked: '账号已失效，需重新授权',
|
||||
}
|
||||
|
||||
export function normalizeModelTestStringList(values: string[] | null | undefined): string[] {
|
||||
return (values ?? [])
|
||||
.map(value => value.trim())
|
||||
.filter(Boolean)
|
||||
}
|
||||
|
||||
export function isModelTestableApiFormat(apiFormat: string | null | undefined): boolean {
|
||||
const normalized = normalizeApiFormatAlias(apiFormat ?? '')
|
||||
return Boolean(normalized) && !MODEL_TEST_UNSUPPORTED_API_FORMATS.has(normalized)
|
||||
}
|
||||
|
||||
export function modelTestKeySupportsEndpoint(
|
||||
key: ModelTestKeySource,
|
||||
endpoint: ModelTestEndpointSource,
|
||||
): boolean {
|
||||
if (key.is_active === false) return false
|
||||
|
||||
const endpointFormat = normalizeApiFormatAlias(endpoint.api_format)
|
||||
if (!isModelTestableApiFormat(endpointFormat)) return false
|
||||
|
||||
const keyFormats = normalizeModelTestStringList(key.api_formats)
|
||||
if (keyFormats.length === 0) return true
|
||||
|
||||
return keyFormats.some(format => normalizeApiFormatAlias(format) === endpointFormat)
|
||||
}
|
||||
|
||||
export function isModelTestableEndpoint(
|
||||
endpoint: ModelTestEndpointSource,
|
||||
keys: ModelTestKeySource[],
|
||||
): boolean {
|
||||
return endpoint.is_active !== false
|
||||
&& isModelTestableApiFormat(endpoint.api_format)
|
||||
&& keys.some(key => modelTestKeySupportsEndpoint(key, endpoint))
|
||||
}
|
||||
|
||||
export function selectPreferredModelTestEndpoint<T extends ModelTestEndpointSource>(
|
||||
model: ModelTestImageSource | null | undefined,
|
||||
endpoints: T[],
|
||||
): T | null {
|
||||
if (modelSupportsImageGeneration(model)) {
|
||||
const imageEndpoint = endpoints.find(
|
||||
endpoint => normalizeApiFormatAlias(endpoint.api_format) === 'openai:image',
|
||||
)
|
||||
if (imageEndpoint) return imageEndpoint
|
||||
}
|
||||
|
||||
return endpoints[0] ?? null
|
||||
}
|
||||
|
||||
export function getOpenAiImageModelTestCapability(
|
||||
model: ModelTestImageSource | null | undefined,
|
||||
): OpenAiImageModelTestCapability | null {
|
||||
const capability = model?.model_test_capabilities?.['openai:image']
|
||||
return capability && typeof capability === 'object'
|
||||
? capability as OpenAiImageModelTestCapability
|
||||
: null
|
||||
}
|
||||
|
||||
export function getOpenAiImageModelTestMaxGenerationCount(
|
||||
model: ModelTestImageSource | null | undefined,
|
||||
): number | null {
|
||||
const maxGenerationCount = getOpenAiImageModelTestCapability(model)?.max_generation_count
|
||||
return typeof maxGenerationCount === 'number' && Number.isFinite(maxGenerationCount)
|
||||
? Math.max(1, Math.floor(maxGenerationCount))
|
||||
: null
|
||||
}
|
||||
|
||||
export function formatModelTestDiagnostic(value: string | null | undefined): string {
|
||||
const normalized = value?.trim()
|
||||
if (!normalized) return ''
|
||||
return MODEL_TEST_DIAGNOSTIC_LABELS[normalized] ?? normalized
|
||||
}
|
||||
|
||||
export function modelSupportsImageGeneration(model: ModelTestImageSource | null | undefined): boolean {
|
||||
const imageCapability = getOpenAiImageModelTestCapability(model)
|
||||
if (imageCapability) {
|
||||
return imageCapability.supports_generation !== false
|
||||
}
|
||||
return Boolean(
|
||||
model?.effective_supports_image_generation ?? model?.supports_image_generation,
|
||||
)
|
||||
}
|
||||
@@ -0,0 +1,457 @@
|
||||
const MODEL_TEST_RESPONSE_PREVIEW_MAX_LENGTH = 160
|
||||
const MODEL_TEST_IMAGE_PREVIEW_MAX_ITEMS = 6
|
||||
|
||||
type JsonRecord = Record<string, unknown>
|
||||
|
||||
export type ModelTestImagePreview = {
|
||||
src: string
|
||||
label: string
|
||||
source: 'base64' | 'url'
|
||||
}
|
||||
|
||||
export function extractModelTestResponsePreview(responseBody: unknown): string | null {
|
||||
const text = extractResponseText(responseBody)
|
||||
if (text) return text
|
||||
|
||||
const reasoning = extractResponseReasoning(responseBody)
|
||||
if (reasoning) return `推理：${reasoning}`
|
||||
|
||||
const image = extractImagePreview(responseBody)
|
||||
if (image) return image
|
||||
|
||||
const summary = extractResponseSummary(responseBody)
|
||||
if (summary) return summary
|
||||
|
||||
return null
|
||||
}
|
||||
|
||||
export function extractModelTestImagePreviews(responseBody: unknown): ModelTestImagePreview[] {
|
||||
const previews: ModelTestImagePreview[] = []
|
||||
collectImagePreviews(responseBody, previews, new Set(), 0)
|
||||
return previews
|
||||
}
|
||||
|
||||
function isJsonRecord(value: unknown): value is JsonRecord {
|
||||
return Boolean(value) && typeof value === 'object' && !Array.isArray(value)
|
||||
}
|
||||
|
||||
function compactPreviewText(value: unknown): string | null {
|
||||
if (typeof value !== 'string') return null
|
||||
|
||||
const normalized = value.replace(/\s+/g, ' ').trim()
|
||||
if (!normalized) return null
|
||||
|
||||
if (normalized.length <= MODEL_TEST_RESPONSE_PREVIEW_MAX_LENGTH) {
|
||||
return normalized
|
||||
}
|
||||
return `${normalized.slice(0, MODEL_TEST_RESPONSE_PREVIEW_MAX_LENGTH - 3)}...`
|
||||
}
|
||||
|
||||
function joinPreviewParts(parts: string[]): string | null {
|
||||
return compactPreviewText(parts.filter(Boolean).join(' '))
|
||||
}
|
||||
|
||||
function extractTextFromContentParts(value: unknown, depth = 0): string | null {
|
||||
if (depth > 4) return null
|
||||
|
||||
const directText = compactPreviewText(value)
|
||||
if (directText) return directText
|
||||
|
||||
if (!Array.isArray(value)) return null
|
||||
|
||||
const parts = value.flatMap((part) => {
|
||||
if (typeof part === 'string') return [part]
|
||||
if (!isJsonRecord(part)) return []
|
||||
|
||||
const text = compactPreviewText(part.text)
|
||||
?? compactPreviewText(part.content)
|
||||
?? extractTextFromContentParts(part.parts, depth + 1)
|
||||
return text ? [text] : []
|
||||
})
|
||||
|
||||
return joinPreviewParts(parts)
|
||||
}
|
||||
|
||||
function extractResponseText(responseBody: unknown, depth = 0): string | null {
|
||||
if (depth > 4 || !isJsonRecord(responseBody)) return null
|
||||
|
||||
const wrappedText = extractResponseText(responseBody.response, depth + 1)
|
||||
?? extractResponseText(responseBody.body, depth + 1)
|
||||
if (wrappedText) return wrappedText
|
||||
|
||||
const outputText = compactPreviewText(responseBody.output_text)
|
||||
if (outputText) return outputText
|
||||
|
||||
const topLevelContentText = extractTextFromContentParts(responseBody.content, depth + 1)
|
||||
if (topLevelContentText) return topLevelContentText
|
||||
|
||||
const choicesText = extractChoicesText(responseBody.choices, depth + 1)
|
||||
if (choicesText) return choicesText
|
||||
|
||||
const outputTextParts = extractOutputText(responseBody.output, depth + 1)
|
||||
if (outputTextParts) return outputTextParts
|
||||
|
||||
const candidateText = extractGeminiCandidateText(responseBody.candidates, depth + 1)
|
||||
if (candidateText) return candidateText
|
||||
|
||||
return null
|
||||
}
|
||||
|
||||
function extractImagePreview(responseBody: unknown, depth = 0): string | null {
|
||||
if (depth > 4 || !isJsonRecord(responseBody)) return null
|
||||
|
||||
const wrappedPreview = extractImagePreview(responseBody.response, depth + 1)
|
||||
?? extractImagePreview(responseBody.body, depth + 1)
|
||||
if (wrappedPreview) return wrappedPreview
|
||||
|
||||
const dataPreview = extractImagePreviewFromCollection(responseBody.data, depth + 1)
|
||||
if (dataPreview) return dataPreview
|
||||
|
||||
const outputPreview = extractImagePreviewFromCollection(responseBody.output, depth + 1)
|
||||
if (outputPreview) return outputPreview
|
||||
|
||||
const imagesPreview = extractImagePreviewFromCollection(responseBody.images, depth + 1)
|
||||
if (imagesPreview) return imagesPreview
|
||||
|
||||
const contentPreview = extractImagePreviewFromContentParts(responseBody.content, depth + 1)
|
||||
if (contentPreview) return contentPreview
|
||||
|
||||
return null
|
||||
}
|
||||
|
||||
function collectImagePreviews(
|
||||
value: unknown,
|
||||
previews: ModelTestImagePreview[],
|
||||
seen: Set<string>,
|
||||
depth: number,
|
||||
) {
|
||||
if (depth > 5 || previews.length >= MODEL_TEST_IMAGE_PREVIEW_MAX_ITEMS || value == null) return
|
||||
|
||||
if (Array.isArray(value)) {
|
||||
for (const item of value) {
|
||||
collectImagePreviews(item, previews, seen, depth + 1)
|
||||
if (previews.length >= MODEL_TEST_IMAGE_PREVIEW_MAX_ITEMS) return
|
||||
}
|
||||
return
|
||||
}
|
||||
|
||||
if (!isJsonRecord(value)) return
|
||||
|
||||
collectImagePreviewFromRecord(value, previews, seen, depth)
|
||||
|
||||
const nestedValues = [
|
||||
value.response,
|
||||
value.body,
|
||||
value.data,
|
||||
value.output,
|
||||
value.images,
|
||||
value.content,
|
||||
]
|
||||
for (const nested of nestedValues) {
|
||||
collectImagePreviews(nested, previews, seen, depth + 1)
|
||||
if (previews.length >= MODEL_TEST_IMAGE_PREVIEW_MAX_ITEMS) return
|
||||
}
|
||||
}
|
||||
|
||||
function collectImagePreviewFromRecord(
|
||||
value: JsonRecord,
|
||||
previews: ModelTestImagePreview[],
|
||||
seen: Set<string>,
|
||||
depth: number,
|
||||
) {
|
||||
const mime = imageMimeFromRecord(value)
|
||||
|
||||
const imageUrl = value.image_url
|
||||
if (typeof imageUrl === 'string') {
|
||||
pushImagePreview(previews, seen, imageUrlToPreview(imageUrl, 'url'))
|
||||
} else if (isJsonRecord(imageUrl)) {
|
||||
pushImagePreview(previews, seen, imageUrlToPreview(imageUrl.url, 'url'))
|
||||
pushImagePreview(previews, seen, base64ImageToPreview(imageUrl.b64_json, imageMimeFromRecord(imageUrl)))
|
||||
}
|
||||
|
||||
pushImagePreview(previews, seen, imageUrlToPreview(value.url, 'url'))
|
||||
pushImagePreview(previews, seen, base64ImageToPreview(value.b64_json, mime))
|
||||
pushImagePreview(previews, seen, base64ImageToPreview(value.data, mime))
|
||||
if (value.type === 'image_generation_call') {
|
||||
pushImagePreview(previews, seen, base64ImageToPreview(value.result, mime))
|
||||
}
|
||||
|
||||
if (depth <= 4) {
|
||||
collectImagePreviews(value.source, previews, seen, depth + 1)
|
||||
}
|
||||
}
|
||||
|
||||
function pushImagePreview(
|
||||
previews: ModelTestImagePreview[],
|
||||
seen: Set<string>,
|
||||
preview: ModelTestImagePreview | null,
|
||||
) {
|
||||
if (!preview || seen.has(preview.src) || previews.length >= MODEL_TEST_IMAGE_PREVIEW_MAX_ITEMS) {
|
||||
return
|
||||
}
|
||||
seen.add(preview.src)
|
||||
previews.push({
|
||||
...preview,
|
||||
label: `图片 ${previews.length + 1}`,
|
||||
})
|
||||
}
|
||||
|
||||
function imageUrlToPreview(value: unknown, source: 'url'): ModelTestImagePreview | null {
|
||||
if (typeof value !== 'string') return null
|
||||
const url = value.trim()
|
||||
if (!url) return null
|
||||
if (url.startsWith('data:image/')) {
|
||||
return { src: url, label: 'base64', source: 'base64' }
|
||||
}
|
||||
|
||||
try {
|
||||
const parsed = new URL(url)
|
||||
if (parsed.protocol !== 'http:' && parsed.protocol !== 'https:') return null
|
||||
} catch {
|
||||
return null
|
||||
}
|
||||
|
||||
return { src: url, label: 'URL', source }
|
||||
}
|
||||
|
||||
function base64ImageToPreview(value: unknown, mime: string): ModelTestImagePreview | null {
|
||||
if (typeof value !== 'string') return null
|
||||
const trimmed = value.trim()
|
||||
if (!trimmed) return null
|
||||
if (trimmed.startsWith('data:image/')) {
|
||||
return { src: trimmed, label: 'base64', source: 'base64' }
|
||||
}
|
||||
|
||||
const normalized = trimmed.replace(/\s+/g, '')
|
||||
if (!normalized) return null
|
||||
return {
|
||||
src: `data:${mime};base64,${normalized}`,
|
||||
label: 'base64',
|
||||
source: 'base64',
|
||||
}
|
||||
}
|
||||
|
||||
function imageMimeFromRecord(value: JsonRecord): string {
|
||||
const outputFormat = value.output_format
|
||||
if (typeof outputFormat === 'string') {
|
||||
const normalized = outputFormat.trim().toLowerCase()
|
||||
if (/^[a-z0-9.+-]+$/.test(normalized)) return `image/${normalized}`
|
||||
}
|
||||
|
||||
const raw = [
|
||||
value.mime_type,
|
||||
value.mime,
|
||||
value.media_type,
|
||||
value.content_type,
|
||||
value.type,
|
||||
].find(candidate => typeof candidate === 'string' && candidate.trim().startsWith('image/'))
|
||||
|
||||
if (typeof raw === 'string') {
|
||||
const normalized = raw.trim().toLowerCase()
|
||||
if (/^image\/[a-z0-9.+-]+$/.test(normalized)) return normalized
|
||||
}
|
||||
return 'image/png'
|
||||
}
|
||||
|
||||
function extractResponseReasoning(responseBody: unknown, depth = 0): string | null {
|
||||
if (depth > 4 || !isJsonRecord(responseBody)) return null
|
||||
|
||||
const wrappedReasoning = extractResponseReasoning(responseBody.response, depth + 1)
|
||||
?? extractResponseReasoning(responseBody.body, depth + 1)
|
||||
if (wrappedReasoning) return wrappedReasoning
|
||||
|
||||
const directReasoning = compactPreviewText(responseBody.reasoning_content)
|
||||
?? compactPreviewText(responseBody.thinking)
|
||||
if (directReasoning) return directReasoning
|
||||
|
||||
const topLevelReasoning = extractReasoningFromContentParts(responseBody.content, depth + 1)
|
||||
if (topLevelReasoning) return topLevelReasoning
|
||||
|
||||
const choicesReasoning = extractChoicesReasoning(responseBody.choices, depth + 1)
|
||||
if (choicesReasoning) return choicesReasoning
|
||||
|
||||
const outputReasoning = extractOutputReasoning(responseBody.output, depth + 1)
|
||||
if (outputReasoning) return outputReasoning
|
||||
|
||||
return null
|
||||
}
|
||||
|
||||
function extractChoicesText(value: unknown, depth: number): string | null {
|
||||
if (!Array.isArray(value)) return null
|
||||
|
||||
for (const choice of value) {
|
||||
if (!isJsonRecord(choice)) continue
|
||||
|
||||
const messageText = isJsonRecord(choice.message)
|
||||
? extractTextFromContentParts(choice.message.content, depth + 1)
|
||||
: null
|
||||
const deltaText = isJsonRecord(choice.delta)
|
||||
? extractTextFromContentParts(choice.delta.content, depth + 1)
|
||||
: null
|
||||
const text = messageText ?? deltaText ?? extractTextFromContentParts(choice.text, depth + 1)
|
||||
if (text) return text
|
||||
}
|
||||
|
||||
return null
|
||||
}
|
||||
|
||||
function extractChoicesReasoning(value: unknown, depth: number): string | null {
|
||||
if (!Array.isArray(value)) return null
|
||||
|
||||
for (const choice of value) {
|
||||
if (!isJsonRecord(choice)) continue
|
||||
|
||||
const messageReasoning = isJsonRecord(choice.message)
|
||||
? extractReasoningFromMessage(choice.message, depth + 1)
|
||||
: null
|
||||
const deltaReasoning = isJsonRecord(choice.delta)
|
||||
? extractReasoningFromMessage(choice.delta, depth + 1)
|
||||
: null
|
||||
const reasoning = messageReasoning ?? deltaReasoning
|
||||
if (reasoning) return reasoning
|
||||
}
|
||||
|
||||
return null
|
||||
}
|
||||
|
||||
function extractReasoningFromMessage(message: JsonRecord, depth: number): string | null {
|
||||
return compactPreviewText(message.reasoning_content)
|
||||
?? compactPreviewText(message.thinking)
|
||||
?? extractReasoningFromContentParts(message.content, depth + 1)
|
||||
}
|
||||
|
||||
function extractOutputText(value: unknown, depth: number): string | null {
|
||||
if (!Array.isArray(value)) return null
|
||||
|
||||
for (const outputItem of value) {
|
||||
if (!isJsonRecord(outputItem)) continue
|
||||
|
||||
const contentText = extractTextFromContentParts(outputItem.content, depth + 1)
|
||||
?? extractResponseText(outputItem.response, depth + 1)
|
||||
if (contentText) return contentText
|
||||
}
|
||||
|
||||
return null
|
||||
}
|
||||
|
||||
function extractOutputReasoning(value: unknown, depth: number): string | null {
|
||||
if (!Array.isArray(value)) return null
|
||||
|
||||
for (const outputItem of value) {
|
||||
if (!isJsonRecord(outputItem)) continue
|
||||
|
||||
const reasoning = extractReasoningFromContentParts(outputItem.content, depth + 1)
|
||||
?? compactPreviewText(outputItem.reasoning_content)
|
||||
?? compactPreviewText(outputItem.thinking)
|
||||
?? extractResponseReasoning(outputItem.response, depth + 1)
|
||||
if (reasoning) return reasoning
|
||||
}
|
||||
|
||||
return null
|
||||
}
|
||||
|
||||
function extractImagePreviewFromCollection(value: unknown, depth: number): string | null {
|
||||
if (!Array.isArray(value)) return null
|
||||
|
||||
for (const item of value) {
|
||||
if (!isJsonRecord(item)) continue
|
||||
|
||||
const preview = extractImagePreviewFromRecord(item, depth + 1)
|
||||
if (preview) return preview
|
||||
}
|
||||
|
||||
return null
|
||||
}
|
||||
|
||||
function extractImagePreviewFromContentParts(value: unknown, depth: number): string | null {
|
||||
if (!Array.isArray(value)) return null
|
||||
|
||||
for (const part of value) {
|
||||
if (!isJsonRecord(part)) continue
|
||||
|
||||
const preview = extractImagePreviewFromRecord(part, depth + 1)
|
||||
if (preview) return preview
|
||||
}
|
||||
|
||||
return null
|
||||
}
|
||||
|
||||
function extractImagePreviewFromRecord(value: JsonRecord, depth: number): string | null {
|
||||
if (depth > 4) return null
|
||||
|
||||
const imageUrl = value.image_url
|
||||
if (typeof imageUrl === 'string' && imageUrl.trim()) {
|
||||
return compactPreviewText(`图片：${imageUrl}`)
|
||||
}
|
||||
if (isJsonRecord(imageUrl)) {
|
||||
const nestedUrl = compactPreviewText(imageUrl.url)
|
||||
if (nestedUrl) return `图片：${nestedUrl}`
|
||||
if (compactPreviewText(imageUrl.b64_json)) {
|
||||
return '图片：base64'
|
||||
}
|
||||
}
|
||||
|
||||
const url = compactPreviewText(value.url)
|
||||
if (url) return `图片：${url}`
|
||||
|
||||
if (compactPreviewText(value.b64_json)) {
|
||||
return '图片：base64'
|
||||
}
|
||||
|
||||
if (value.type === 'image_generation_call' && compactPreviewText(value.result)) {
|
||||
return '图片：base64'
|
||||
}
|
||||
|
||||
return extractImagePreviewFromCollection(value.data, depth + 1)
|
||||
?? extractImagePreviewFromCollection(value.images, depth + 1)
|
||||
?? extractImagePreviewFromContentParts(value.content, depth + 1)
|
||||
}
|
||||
|
||||
function extractGeminiCandidateText(value: unknown, depth: number): string | null {
|
||||
if (!Array.isArray(value)) return null
|
||||
|
||||
for (const candidate of value) {
|
||||
if (!isJsonRecord(candidate) || !isJsonRecord(candidate.content)) continue
|
||||
|
||||
const text = extractTextFromContentParts(candidate.content.parts, depth + 1)
|
||||
if (text) return text
|
||||
}
|
||||
|
||||
return null
|
||||
}
|
||||
|
||||
function extractReasoningFromContentParts(value: unknown, depth = 0): string | null {
|
||||
if (depth > 4 || !Array.isArray(value)) return null
|
||||
|
||||
const parts = value.flatMap((part) => {
|
||||
if (!isJsonRecord(part)) return []
|
||||
|
||||
const reasoning = compactPreviewText(part.reasoning_content)
|
||||
?? compactPreviewText(part.thinking)
|
||||
?? compactPreviewText(part.reasoning)
|
||||
?? extractReasoningFromContentParts(part.content, depth + 1)
|
||||
?? extractReasoningFromContentParts(part.parts, depth + 1)
|
||||
return reasoning ? [reasoning] : []
|
||||
})
|
||||
|
||||
return joinPreviewParts(parts)
|
||||
}
|
||||
|
||||
function extractResponseSummary(responseBody: unknown): string | null {
|
||||
if (!isJsonRecord(responseBody)) return null
|
||||
|
||||
if (Array.isArray(responseBody.data)) {
|
||||
const embeddingDimensions = responseBody.data
|
||||
.map(item => isJsonRecord(item) && Array.isArray(item.embedding) ? item.embedding.length : null)
|
||||
.find((size): size is number => typeof size === 'number')
|
||||
if (embeddingDimensions != null) return `Embedding 维度：${embeddingDimensions}`
|
||||
if (responseBody.data.length > 0) return `返回数据：${responseBody.data.length} 条`
|
||||
}
|
||||
|
||||
if (Array.isArray(responseBody.results)) return `Rerank 结果：${responseBody.results.length} 条`
|
||||
|
||||
const model = compactPreviewText(responseBody.model)
|
||||
if (model) return `返回模型：${model}`
|
||||
|
||||
return null
|
||||
}
|
||||
@@ -1,9 +1,33 @@
|
||||
import { normalizeApiFormatAlias } from '@/api/endpoints/types/api-format'
|
||||
import type { ProviderModelMapping } from '@/api/endpoints/types'
|
||||
import type { TestModelRequest } from '@/api/endpoints/providers'
|
||||
import {
|
||||
modelSupportsImageGeneration,
|
||||
normalizeModelTestStringList,
|
||||
type ModelTestImageSource,
|
||||
} from './model-test-capabilities'
|
||||
|
||||
export {
|
||||
formatModelTestDiagnostic,
|
||||
getOpenAiImageModelTestCapability,
|
||||
getOpenAiImageModelTestMaxGenerationCount,
|
||||
isModelTestableApiFormat,
|
||||
isModelTestableEndpoint,
|
||||
modelTestKeySupportsEndpoint,
|
||||
selectPreferredModelTestEndpoint,
|
||||
} from './model-test-capabilities'
|
||||
export type {
|
||||
ModelTestEndpointSource,
|
||||
ModelTestImageSource,
|
||||
ModelTestKeySource,
|
||||
} from './model-test-capabilities'
|
||||
export {
|
||||
extractModelTestImagePreviews,
|
||||
extractModelTestResponsePreview,
|
||||
} from './model-test-preview'
|
||||
export type { ModelTestImagePreview } from './model-test-preview'
|
||||
|
||||
const DEFAULT_MODEL_TEST_MESSAGE = 'Hello! This is a test message.'
|
||||
const MODEL_TEST_RESPONSE_PREVIEW_MAX_LENGTH = 160
|
||||
|
||||
type ModelTestMappingSource = {
|
||||
provider_model_name: string
|
||||
@@ -15,350 +39,20 @@ type ModelTestMappingEndpoint = {
|
||||
api_format: string
|
||||
}
|
||||
|
||||
type ModelTestEndpointSource = {
|
||||
api_format: string
|
||||
is_active?: boolean | null
|
||||
}
|
||||
|
||||
type ModelTestKeySource = {
|
||||
api_formats?: string[] | null
|
||||
is_active?: boolean | null
|
||||
auth_type?: string | null
|
||||
credential_kind?: string | null
|
||||
oauth_managed?: boolean | null
|
||||
}
|
||||
|
||||
export type ModelTestMappedModelOption = {
|
||||
name: string
|
||||
priority: number
|
||||
}
|
||||
|
||||
const MODEL_TEST_UNSUPPORTED_API_FORMATS = new Set([
|
||||
'openai:video',
|
||||
'gemini:video',
|
||||
'gemini:files',
|
||||
])
|
||||
|
||||
const MODEL_TEST_OAUTH_INHERITS_PROVIDER_FORMATS = new Set([
|
||||
'claude_code',
|
||||
'codex',
|
||||
'chatgpt_web',
|
||||
'gemini_cli',
|
||||
'vertex_ai',
|
||||
'antigravity',
|
||||
'kiro',
|
||||
])
|
||||
|
||||
const MODEL_TEST_BEARER_INHERITS_PROVIDER_FORMATS = new Set([
|
||||
'chatgpt_web',
|
||||
])
|
||||
|
||||
const MODEL_TEST_DIAGNOSTIC_LABELS: Record<string, string> = {
|
||||
pool_account_blocked: '账号已失效，需重新授权',
|
||||
}
|
||||
|
||||
type JsonRecord = Record<string, unknown>
|
||||
|
||||
export function isModelTestableApiFormat(apiFormat: string | null | undefined): boolean {
|
||||
const normalized = normalizeApiFormatAlias(apiFormat ?? '')
|
||||
return Boolean(normalized) && !MODEL_TEST_UNSUPPORTED_API_FORMATS.has(normalized)
|
||||
}
|
||||
|
||||
export function modelTestKeySupportsEndpoint(
|
||||
key: ModelTestKeySource,
|
||||
endpoint: ModelTestEndpointSource,
|
||||
providerType?: string | null,
|
||||
): boolean {
|
||||
if (key.is_active === false) return false
|
||||
|
||||
const endpointFormat = normalizeApiFormatAlias(endpoint.api_format)
|
||||
if (!isModelTestableApiFormat(endpointFormat)) return false
|
||||
|
||||
if (modelTestKeyInheritsProviderFormats(key, providerType)) return true
|
||||
|
||||
const keyFormats = normalizeStringList(key.api_formats ?? undefined)
|
||||
if (keyFormats.length === 0) return true
|
||||
|
||||
return keyFormats.some(format => normalizeApiFormatAlias(format) === endpointFormat)
|
||||
}
|
||||
|
||||
export function isModelTestableEndpoint(
|
||||
endpoint: ModelTestEndpointSource,
|
||||
keys: ModelTestKeySource[],
|
||||
providerType?: string | null,
|
||||
): boolean {
|
||||
return endpoint.is_active !== false
|
||||
&& isModelTestableApiFormat(endpoint.api_format)
|
||||
&& keys.some(key => modelTestKeySupportsEndpoint(key, endpoint, providerType))
|
||||
}
|
||||
|
||||
export function formatModelTestDiagnostic(value: string | null | undefined): string {
|
||||
const normalized = value?.trim()
|
||||
if (!normalized) return ''
|
||||
return MODEL_TEST_DIAGNOSTIC_LABELS[normalized] ?? normalized
|
||||
}
|
||||
|
||||
export function extractModelTestResponsePreview(responseBody: unknown): string | null {
|
||||
const text = extractResponseText(responseBody)
|
||||
if (text) return text
|
||||
|
||||
const reasoning = extractResponseReasoning(responseBody)
|
||||
if (reasoning) return `推理：${reasoning}`
|
||||
|
||||
const summary = extractResponseSummary(responseBody)
|
||||
if (summary) return summary
|
||||
|
||||
return null
|
||||
}
|
||||
|
||||
function normalizeStringList(values: string[] | undefined): string[] {
|
||||
return (values ?? [])
|
||||
.map(value => value.trim())
|
||||
.filter(Boolean)
|
||||
}
|
||||
|
||||
function modelTestKeyInheritsProviderFormats(
|
||||
key: ModelTestKeySource,
|
||||
providerType: string | null | undefined,
|
||||
): boolean {
|
||||
const normalizedProviderType = providerType?.trim().toLowerCase()
|
||||
if (!normalizedProviderType) return false
|
||||
|
||||
const authType = key.auth_type?.trim().toLowerCase()
|
||||
const credentialKind = key.credential_kind?.trim().toLowerCase()
|
||||
const oauthManaged = key.oauth_managed === true
|
||||
|| credentialKind === 'oauth_session'
|
||||
|| authType === 'oauth'
|
||||
|
||||
if (oauthManaged && MODEL_TEST_OAUTH_INHERITS_PROVIDER_FORMATS.has(normalizedProviderType)) {
|
||||
return true
|
||||
}
|
||||
|
||||
return authType === 'bearer'
|
||||
&& MODEL_TEST_BEARER_INHERITS_PROVIDER_FORMATS.has(normalizedProviderType)
|
||||
}
|
||||
|
||||
function isJsonRecord(value: unknown): value is JsonRecord {
|
||||
return Boolean(value) && typeof value === 'object' && !Array.isArray(value)
|
||||
}
|
||||
|
||||
function compactPreviewText(value: unknown): string | null {
|
||||
if (typeof value !== 'string') return null
|
||||
|
||||
const normalized = value.replace(/\s+/g, ' ').trim()
|
||||
if (!normalized) return null
|
||||
|
||||
if (normalized.length <= MODEL_TEST_RESPONSE_PREVIEW_MAX_LENGTH) {
|
||||
return normalized
|
||||
}
|
||||
return `${normalized.slice(0, MODEL_TEST_RESPONSE_PREVIEW_MAX_LENGTH - 3)}...`
|
||||
}
|
||||
|
||||
function joinPreviewParts(parts: string[]): string | null {
|
||||
return compactPreviewText(parts.filter(Boolean).join(' '))
|
||||
}
|
||||
|
||||
function extractTextFromContentParts(value: unknown, depth = 0): string | null {
|
||||
if (depth > 4) return null
|
||||
|
||||
const directText = compactPreviewText(value)
|
||||
if (directText) return directText
|
||||
|
||||
if (!Array.isArray(value)) return null
|
||||
|
||||
const parts = value.flatMap((part) => {
|
||||
if (typeof part === 'string') return [part]
|
||||
if (!isJsonRecord(part)) return []
|
||||
|
||||
const text = compactPreviewText(part.text)
|
||||
?? compactPreviewText(part.content)
|
||||
?? extractTextFromContentParts(part.parts, depth + 1)
|
||||
return text ? [text] : []
|
||||
})
|
||||
|
||||
return joinPreviewParts(parts)
|
||||
}
|
||||
|
||||
function extractResponseText(responseBody: unknown, depth = 0): string | null {
|
||||
if (depth > 4 || !isJsonRecord(responseBody)) return null
|
||||
|
||||
const wrappedText = extractResponseText(responseBody.response, depth + 1)
|
||||
?? extractResponseText(responseBody.body, depth + 1)
|
||||
if (wrappedText) return wrappedText
|
||||
|
||||
const outputText = compactPreviewText(responseBody.output_text)
|
||||
if (outputText) return outputText
|
||||
|
||||
const topLevelContentText = extractTextFromContentParts(responseBody.content, depth + 1)
|
||||
if (topLevelContentText) return topLevelContentText
|
||||
|
||||
const choicesText = extractChoicesText(responseBody.choices, depth + 1)
|
||||
if (choicesText) return choicesText
|
||||
|
||||
const outputTextParts = extractOutputText(responseBody.output, depth + 1)
|
||||
if (outputTextParts) return outputTextParts
|
||||
|
||||
const candidateText = extractGeminiCandidateText(responseBody.candidates, depth + 1)
|
||||
if (candidateText) return candidateText
|
||||
|
||||
return null
|
||||
}
|
||||
|
||||
function extractResponseReasoning(responseBody: unknown, depth = 0): string | null {
|
||||
if (depth > 4 || !isJsonRecord(responseBody)) return null
|
||||
|
||||
const wrappedReasoning = extractResponseReasoning(responseBody.response, depth + 1)
|
||||
?? extractResponseReasoning(responseBody.body, depth + 1)
|
||||
if (wrappedReasoning) return wrappedReasoning
|
||||
|
||||
const directReasoning = compactPreviewText(responseBody.reasoning_content)
|
||||
?? compactPreviewText(responseBody.thinking)
|
||||
if (directReasoning) return directReasoning
|
||||
|
||||
const topLevelReasoning = extractReasoningFromContentParts(responseBody.content, depth + 1)
|
||||
if (topLevelReasoning) return topLevelReasoning
|
||||
|
||||
const choicesReasoning = extractChoicesReasoning(responseBody.choices, depth + 1)
|
||||
if (choicesReasoning) return choicesReasoning
|
||||
|
||||
const outputReasoning = extractOutputReasoning(responseBody.output, depth + 1)
|
||||
if (outputReasoning) return outputReasoning
|
||||
|
||||
return null
|
||||
}
|
||||
|
||||
function extractChoicesText(value: unknown, depth: number): string | null {
|
||||
if (!Array.isArray(value)) return null
|
||||
|
||||
for (const choice of value) {
|
||||
if (!isJsonRecord(choice)) continue
|
||||
|
||||
const messageText = isJsonRecord(choice.message)
|
||||
? extractTextFromContentParts(choice.message.content, depth + 1)
|
||||
: null
|
||||
const deltaText = isJsonRecord(choice.delta)
|
||||
? extractTextFromContentParts(choice.delta.content, depth + 1)
|
||||
: null
|
||||
const text = messageText ?? deltaText ?? extractTextFromContentParts(choice.text, depth + 1)
|
||||
if (text) return text
|
||||
}
|
||||
|
||||
return null
|
||||
}
|
||||
|
||||
function extractChoicesReasoning(value: unknown, depth: number): string | null {
|
||||
if (!Array.isArray(value)) return null
|
||||
|
||||
for (const choice of value) {
|
||||
if (!isJsonRecord(choice)) continue
|
||||
|
||||
const messageReasoning = isJsonRecord(choice.message)
|
||||
? extractReasoningFromMessage(choice.message, depth + 1)
|
||||
: null
|
||||
const deltaReasoning = isJsonRecord(choice.delta)
|
||||
? extractReasoningFromMessage(choice.delta, depth + 1)
|
||||
: null
|
||||
const reasoning = messageReasoning ?? deltaReasoning
|
||||
if (reasoning) return reasoning
|
||||
}
|
||||
|
||||
return null
|
||||
}
|
||||
|
||||
function extractReasoningFromMessage(message: JsonRecord, depth: number): string | null {
|
||||
return compactPreviewText(message.reasoning_content)
|
||||
?? compactPreviewText(message.thinking)
|
||||
?? extractReasoningFromContentParts(message.content, depth + 1)
|
||||
}
|
||||
|
||||
function extractOutputText(value: unknown, depth: number): string | null {
|
||||
if (!Array.isArray(value)) return null
|
||||
|
||||
for (const outputItem of value) {
|
||||
if (!isJsonRecord(outputItem)) continue
|
||||
|
||||
const contentText = extractTextFromContentParts(outputItem.content, depth + 1)
|
||||
?? extractResponseText(outputItem.response, depth + 1)
|
||||
if (contentText) return contentText
|
||||
}
|
||||
|
||||
return null
|
||||
}
|
||||
|
||||
function extractOutputReasoning(value: unknown, depth: number): string | null {
|
||||
if (!Array.isArray(value)) return null
|
||||
|
||||
for (const outputItem of value) {
|
||||
if (!isJsonRecord(outputItem)) continue
|
||||
|
||||
const reasoning = extractReasoningFromContentParts(outputItem.content, depth + 1)
|
||||
?? compactPreviewText(outputItem.reasoning_content)
|
||||
?? compactPreviewText(outputItem.thinking)
|
||||
?? extractResponseReasoning(outputItem.response, depth + 1)
|
||||
if (reasoning) return reasoning
|
||||
}
|
||||
|
||||
return null
|
||||
}
|
||||
|
||||
function extractGeminiCandidateText(value: unknown, depth: number): string | null {
|
||||
if (!Array.isArray(value)) return null
|
||||
|
||||
for (const candidate of value) {
|
||||
if (!isJsonRecord(candidate) || !isJsonRecord(candidate.content)) continue
|
||||
|
||||
const text = extractTextFromContentParts(candidate.content.parts, depth + 1)
|
||||
if (text) return text
|
||||
}
|
||||
|
||||
return null
|
||||
}
|
||||
|
||||
function extractReasoningFromContentParts(value: unknown, depth = 0): string | null {
|
||||
if (depth > 4 || !Array.isArray(value)) return null
|
||||
|
||||
const parts = value.flatMap((part) => {
|
||||
if (!isJsonRecord(part)) return []
|
||||
|
||||
const reasoning = compactPreviewText(part.reasoning_content)
|
||||
?? compactPreviewText(part.thinking)
|
||||
?? compactPreviewText(part.reasoning)
|
||||
?? extractReasoningFromContentParts(part.content, depth + 1)
|
||||
?? extractReasoningFromContentParts(part.parts, depth + 1)
|
||||
return reasoning ? [reasoning] : []
|
||||
})
|
||||
|
||||
return joinPreviewParts(parts)
|
||||
}
|
||||
|
||||
function extractResponseSummary(responseBody: unknown): string | null {
|
||||
if (!isJsonRecord(responseBody)) return null
|
||||
|
||||
if (Array.isArray(responseBody.data)) {
|
||||
const embeddingDimensions = responseBody.data
|
||||
.map(item => isJsonRecord(item) && Array.isArray(item.embedding) ? item.embedding.length : null)
|
||||
.find((size): size is number => typeof size === 'number')
|
||||
if (embeddingDimensions != null) return `Embedding 维度：${embeddingDimensions}`
|
||||
if (responseBody.data.length > 0) return `返回数据：${responseBody.data.length} 条`
|
||||
}
|
||||
|
||||
if (Array.isArray(responseBody.results)) return `Rerank 结果：${responseBody.results.length} 条`
|
||||
|
||||
const model = compactPreviewText(responseBody.model)
|
||||
if (model) return `返回模型：${model}`
|
||||
|
||||
return null
|
||||
}
|
||||
|
||||
function mappingApiFormatMatches(mapping: ProviderModelMapping, endpoint: ModelTestMappingEndpoint): boolean {
|
||||
const apiFormats = normalizeStringList(mapping.api_formats)
|
||||
const apiFormats = normalizeModelTestStringList(mapping.api_formats)
|
||||
if (apiFormats.length === 0) return true
|
||||
const endpointFormat = normalizeApiFormatAlias(endpoint.api_format)
|
||||
return apiFormats.some(format => normalizeApiFormatAlias(format) === endpointFormat)
|
||||
}
|
||||
|
||||
function mappingEndpointMatches(mapping: ProviderModelMapping, endpoint: ModelTestMappingEndpoint): boolean {
|
||||
const endpointIds = normalizeStringList(mapping.endpoint_ids)
|
||||
const endpointIds = normalizeModelTestStringList(mapping.endpoint_ids)
|
||||
if (endpointIds.length === 0) return true
|
||||
return endpointIds.includes(endpoint.id)
|
||||
}
|
||||
@@ -450,7 +144,11 @@ export function buildExactModelMappingTestRequest(
|
||||
}
|
||||
}
|
||||
|
||||
export function buildDefaultModelTestRequestBody(modelName: string, apiFormat?: string | null): string {
|
||||
export function buildDefaultModelTestRequestBody(
|
||||
modelName: string,
|
||||
apiFormat?: string | null,
|
||||
model?: ModelTestImageSource | null,
|
||||
): string {
|
||||
const normalizedApiFormat = normalizeApiFormatAlias(apiFormat ?? '')
|
||||
|
||||
if (normalizedApiFormat.endsWith(':embedding')) {
|
||||
@@ -485,6 +183,24 @@ export function buildDefaultModelTestRequestBody(modelName: string, apiFormat?:
|
||||
}, null, 2)
|
||||
}
|
||||
|
||||
if (normalizedApiFormat === 'openai:responses' && modelSupportsImageGeneration(model)) {
|
||||
return JSON.stringify({
|
||||
model: modelName,
|
||||
input: DEFAULT_MODEL_TEST_MESSAGE,
|
||||
tools: [
|
||||
{
|
||||
type: 'image_generation',
|
||||
size: '1024x1024',
|
||||
output_format: 'png',
|
||||
},
|
||||
],
|
||||
tool_choice: {
|
||||
type: 'image_generation',
|
||||
},
|
||||
stream: true,
|
||||
}, null, 2)
|
||||
}
|
||||
|
||||
return JSON.stringify({
|
||||
model: modelName,
|
||||
messages: [
|
||||
@@ -557,4 +273,4 @@ export function parseModelTestRequestHeadersDraft(
|
||||
emptyError: null,
|
||||
invalidTypeError: '测试请求头必须是 JSON 对象',
|
||||
})
|
||||
}
|
||||
}
|
||||
Reference in New Issue
Block a user