feat: add AIHubMix provider (#865)

* feat: add AIHubMix provider

* feat: load AIHubMix models dynamically

* feat: polish AIHubMix model setup

* feat: send AIHubMix app code

* docs: remove redundant AIHubMix recommendation

---------

Co-authored-by: LL <13697272357@163.com>
This commit is contained in:
YOYO-do
2026-06-15 12:54:18 +08:00
committed by GitHub
parent 988034cc3e
commit 0f9699843f
16 changed files with 606 additions and 21 deletions

View File

@@ -211,6 +211,7 @@ See the [Next.js deployment documentation](https://nextjs.org/docs/app/building-
- Azure OpenAI
- Ollama
- OpenRouter
- AIHubMix
- DeepSeek
- SiliconFlow
- ModelScope

View File

@@ -0,0 +1,61 @@
import { NextResponse } from "next/server"
import {
AIHUBMIX_MODELS_ENDPOINT,
extractAihubmixModelIds,
} from "@/lib/aihubmix-models"
import { SUGGESTED_MODELS } from "@/lib/types/model-config"
const SUCCESS_CACHE_CONTROL =
"public, max-age=300, s-maxage=3600, stale-while-revalidate=86400"
function fallbackResponse() {
return NextResponse.json(
{
models: SUGGESTED_MODELS.aihubmix || [],
source: "fallback",
},
{
headers: {
"Cache-Control": "no-store",
},
},
)
}
export async function GET() {
try {
const response = await fetch(AIHUBMIX_MODELS_ENDPOINT, {
next: { revalidate: 3600 },
})
if (!response.ok) {
console.warn(
`[aihubmix-models] Failed to fetch models: ${response.status}`,
)
return fallbackResponse()
}
const payload = await response.json()
const models = extractAihubmixModelIds(payload)
if (models.length === 0) {
console.warn("[aihubmix-models] Model list response was empty")
return fallbackResponse()
}
return NextResponse.json(
{
models,
source: "aihubmix",
},
{
headers: {
"Cache-Control": SUCCESS_CACHE_CONTROL,
},
},
)
} catch (error) {
console.warn("[aihubmix-models] Failed to load models:", error)
return fallbackResponse()
}
}

View File

@@ -5,11 +5,16 @@ import { createGateway } from "@ai-sdk/gateway"
import { createGoogleGenerativeAI } from "@ai-sdk/google"
import { createVertex } from "@ai-sdk/google-vertex"
import { createOpenAI } from "@ai-sdk/openai"
import { createAihubmix } from "@aihubmix/ai-sdk-provider"
import { createOpenRouter } from "@openrouter/ai-sdk-provider"
import { generateText } from "ai"
import { NextResponse } from "next/server"
import { createOllama } from "ollama-ai-provider-v2"
import { normalizeMiniMaxBaseURL } from "@/lib/ai-providers"
import {
AIHUBMIX_APP_CODE,
isAihubmixStandardBaseURL,
normalizeMiniMaxBaseURL,
} from "@/lib/ai-providers"
import { allowPrivateUrls, isPrivateUrl } from "@/lib/ssrf-protection"
import { PROVIDER_INFO, type ProviderName } from "@/lib/types/model-config"
@@ -153,6 +158,28 @@ export async function POST(req: Request) {
break
}
case "aihubmix": {
const defaultBaseURL = PROVIDER_INFO.aihubmix.defaultBaseUrl
if (
isAihubmixStandardBaseURL(baseUrl) ||
baseUrl === defaultBaseURL
) {
const aihubmix = createAihubmix({
apiKey,
appCode: AIHUBMIX_APP_CODE,
})
model = aihubmix(modelId)
} else {
const aihubmixCompatible = createOpenAI({
apiKey,
baseURL: baseUrl,
})
model = aihubmixCompatible.chat(modelId)
}
break
}
case "deepseek": {
if (baseUrl || apiKey) {
const ds = createDeepSeek({

View File

@@ -54,6 +54,7 @@ import {
import { Switch } from "@/components/ui/switch"
import { useDictionary } from "@/hooks/use-dictionary"
import type { UseModelConfigReturn } from "@/hooks/use-model-config"
import { getApiEndpoint } from "@/lib/base-path"
import { formatMessage } from "@/lib/i18n/utils"
import type { ProviderConfig, ProviderName } from "@/lib/types/model-config"
import { PROVIDER_INFO, SUGGESTED_MODELS } from "@/lib/types/model-config"
@@ -132,6 +133,14 @@ export function ModelConfigDialog({
modelId: string
message: string
} | null>(null)
const [dynamicSuggestedModels, setDynamicSuggestedModels] = useState<
Partial<Record<ProviderName, string[]>>
>({})
const [loadedSuggestedProviders, setLoadedSuggestedProviders] = useState<
Partial<Record<ProviderName, boolean>>
>({})
const [loadingSuggestedProvider, setLoadingSuggestedProvider] =
useState<ProviderName | null>(null)
const {
config,
@@ -157,10 +166,68 @@ export function ModelConfigDialog({
}
}, [])
useEffect(() => {
if (
!open ||
selectedProvider?.provider !== "aihubmix" ||
loadedSuggestedProviders.aihubmix
) {
return
}
let cancelled = false
setLoadingSuggestedProvider("aihubmix")
fetch(getApiEndpoint("/api/aihubmix-models"))
.then((response) => {
if (!response.ok) {
throw new Error(`Failed to load models: ${response.status}`)
}
return response.json()
})
.then((data: { models?: unknown }) => {
if (cancelled || !Array.isArray(data.models)) {
return
}
const models = data.models.filter(
(model): model is string => typeof model === "string",
)
if (models.length > 0) {
setDynamicSuggestedModels((current) => ({
...current,
aihubmix: models,
}))
}
})
.catch((error) => {
console.warn("Failed to load AIHubMix models:", error)
})
.finally(() => {
if (cancelled) {
return
}
setLoadedSuggestedProviders((current) => ({
...current,
aihubmix: true,
}))
setLoadingSuggestedProvider(null)
})
return () => {
cancelled = true
}
}, [open, selectedProvider?.provider, loadedSuggestedProviders.aihubmix])
// Get suggested models for current provider
const suggestedModels = selectedProvider
? SUGGESTED_MODELS[selectedProvider.provider] || []
? dynamicSuggestedModels[selectedProvider.provider] ||
SUGGESTED_MODELS[selectedProvider.provider] ||
[]
: []
const isLoadingSuggestedModels =
selectedProvider?.provider === loadingSuggestedProvider
// Filter out already-added models from suggestions
const existingModelIds =
@@ -168,6 +235,11 @@ export function ModelConfigDialog({
const availableSuggestions = suggestedModels.filter(
(modelId) => !existingModelIds.includes(modelId),
)
const emptyStateSuggestions = selectedProvider
? (SUGGESTED_MODELS[selectedProvider.provider] || [])
.filter((modelId) => !existingModelIds.includes(modelId))
.slice(0, 4)
: []
// Handle adding a new provider
const handleAddProvider = (providerType: ProviderName) => {
@@ -773,11 +845,15 @@ export function ModelConfigDialog({
}
}}
disabled={
isLoadingSuggestedModels ||
availableSuggestions.length ===
0
}
>
<SelectTrigger className="w-28 h-8 rounded-lg hover:bg-interactive-hover">
{isLoadingSuggestedModels ? (
<Loader2 className="h-3.5 w-3.5 animate-spin" />
) : (
<span className="text-xs">
{availableSuggestions.length ===
0
@@ -788,6 +864,7 @@ export function ModelConfigDialog({
.modelConfig
.suggested}
</span>
)}
</SelectTrigger>
<SelectContent className="max-h-72">
{availableSuggestions.map(
@@ -816,7 +893,12 @@ export function ModelConfigDialog({
0 ? (
<div className="p-6 text-center h-full flex flex-col items-center justify-center">
<div className="inline-flex items-center justify-center w-10 h-10 rounded-full bg-surface-2 mb-3">
<Sparkles className="h-5 w-5 text-muted-foreground" />
<ProviderLogo
provider={
selectedProvider.provider
}
className="size-5 text-muted-foreground"
/>
</div>
<p className="text-sm text-muted-foreground">
{
@@ -824,6 +906,36 @@ export function ModelConfigDialog({
.noModelsConfigured
}
</p>
{emptyStateSuggestions.length >
0 && (
<div className="mt-4 flex max-w-full flex-wrap items-center justify-center gap-2">
{emptyStateSuggestions.map(
(modelId) => (
<Button
key={
modelId
}
type="button"
variant="outline"
size="sm"
className="h-7 max-w-[220px] rounded-lg px-2 font-mono text-[11px]"
onClick={() =>
handleAddModel(
modelId,
)
}
>
<Plus className="h-3 w-3 shrink-0" />
<span className="truncate">
{
modelId
}
</span>
</Button>
),
)}
</div>
)}
</div>
) : (
<div className="divide-y divide-border-subtle">

View File

@@ -204,6 +204,7 @@ npm run dev
- Azure OpenAI
- Ollama
- OpenRouter
- AIHubMix
- DeepSeek
- SiliconFlow
- ModelScope

View File

@@ -46,6 +46,21 @@ AI_MODEL=gpt-4o
OPENAI_BASE_URL=https://your-custom-endpoint/v1
```
### AIHubMix
AIHubMix 通过单个 API Key 聚合 Claude、GPT、Gemini、DeepSeek 等模型。
```bash
AIHUBMIX_API_KEY=your_api_key
AI_MODEL=claude-sonnet-4-5-20250929
```
可选的自定义端点:
```bash
AIHUBMIX_BASE_URL=https://aihubmix.com/v1
```
### Anthropic
```bash
@@ -300,7 +315,7 @@ QINIU_BASE_URL=https://your-custom-endpoint
如果您配置了**多个** API 密钥,则必须显式设置 `AI_PROVIDER`
```bash
AI_PROVIDER=google # 或openai, anthropic, deepseek, siliconflow, doubao, azure, bedrock, openrouter, ollama, gateway, sglang, modelscope, minimax, glm, qwen, kimi, qiniu
AI_PROVIDER=google # 或openai, anthropic, aihubmix, deepseek, siliconflow, doubao, azure, bedrock, openrouter, ollama, gateway, sglang, modelscope, minimax, glm, qwen, kimi, qiniu
```
## 服务端多模型配置

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@@ -61,6 +61,21 @@ Optional custom endpoint (for OpenAI-compatible services):
OPENAI_BASE_URL=https://your-custom-endpoint/v1
```
### AIHubMix
AIHubMix provides access to Claude, GPT, Gemini, DeepSeek, and other models through a single API key.
```bash
AIHUBMIX_API_KEY=your_api_key
AI_MODEL=claude-sonnet-4-5-20250929
```
Optional custom endpoint:
```bash
AIHUBMIX_BASE_URL=https://aihubmix.com/v1
```
### Anthropic
```bash
@@ -315,7 +330,7 @@ If you only configure **one** provider's API key, the system will automatically
If you configure **multiple** API keys, you must explicitly set `AI_PROVIDER`:
```bash
AI_PROVIDER=google # or: openai, anthropic, deepseek, siliconflow, doubao, azure, bedrock, openrouter, ollama, gateway, sglang, modelscope, minimax, glm, qwen, kimi, qiniu
AI_PROVIDER=google # or: openai, anthropic, aihubmix, deepseek, siliconflow, doubao, azure, bedrock, openrouter, ollama, gateway, sglang, modelscope, minimax, glm, qwen, kimi, qiniu
```
## Server-Side Multi-Model Configuration

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@@ -203,6 +203,7 @@ Next.jsアプリをデプロイする最も簡単な方法は、Next.jsの作成
- Azure OpenAI
- Ollama
- OpenRouter
- AIHubMix
- DeepSeek
- SiliconFlow
- ModelScope

View File

@@ -46,6 +46,21 @@ AI_MODEL=gpt-4o
OPENAI_BASE_URL=https://your-custom-endpoint/v1
```
### AIHubMix
AIHubMix は、単一の API キーで Claude、GPT、Gemini、DeepSeek などのモデルへのアクセスを提供します。
```bash
AIHUBMIX_API_KEY=your_api_key
AI_MODEL=claude-sonnet-4-5-20250929
```
任意のカスタムエンドポイント:
```bash
AIHUBMIX_BASE_URL=https://aihubmix.com/v1
```
### Anthropic
```bash
@@ -300,7 +315,7 @@ QINIU_BASE_URL=https://your-custom-endpoint
**複数**の API キーを設定する場合は、`AI_PROVIDER` を明示的に設定する必要があります:
```bash
AI_PROVIDER=google # または: openai, anthropic, deepseek, siliconflow, doubao, azure, bedrock, openrouter, ollama, gateway, sglang, modelscope, minimax, glm, qwen, kimi, qiniu
AI_PROVIDER=google # または: openai, anthropic, aihubmix, deepseek, siliconflow, doubao, azure, bedrock, openrouter, ollama, gateway, sglang, modelscope, minimax, glm, qwen, kimi, qiniu
```
## サーバーサイドマルチモデル設定

View File

@@ -1,6 +1,6 @@
# AI Provider Configuration
# AI_PROVIDER: Which provider to use
# Options: bedrock, openai, anthropic, google, vertexai, azure, ollama, openrouter, deepseek, siliconflow, gateway, novita
# Options: bedrock, openai, anthropic, google, vertexai, azure, ollama, openrouter, aihubmix, deepseek, siliconflow, gateway, novita
# Default: bedrock
AI_PROVIDER=bedrock
@@ -69,6 +69,10 @@ AI_MODEL=global.anthropic.claude-sonnet-4-5-20250929-v1:0
# OPENROUTER_API_KEY=sk-or-v1-...
# OPENROUTER_BASE_URL=https://openrouter.ai/api/v1 # Optional: Custom endpoint
# AIHubMix Configuration
# AIHUBMIX_API_KEY=your-aihubmix-api-key
# AIHUBMIX_BASE_URL=https://aihubmix.com/v1 # Optional: Custom endpoint
# DeepSeek Configuration
# DEEPSEEK_API_KEY=sk-...
# DEEPSEEK_BASE_URL=https://api.deepseek.com/v1 # Optional: Custom endpoint

View File

@@ -6,6 +6,7 @@ import { createGateway, gateway } from "@ai-sdk/gateway"
import { createGoogleGenerativeAI, google } from "@ai-sdk/google"
import { createVertex } from "@ai-sdk/google-vertex"
import { createOpenAI, openai } from "@ai-sdk/openai"
import { aihubmix, createAihubmix } from "@aihubmix/ai-sdk-provider"
import { fromNodeProviderChain } from "@aws-sdk/credential-providers"
import { createOpenRouter } from "@openrouter/ai-sdk-provider"
import { createOllama, ollama } from "ollama-ai-provider-v2"
@@ -13,6 +14,8 @@ import { PROVIDER_INFO, type ProviderName } from "@/lib/types/model-config"
export type { ProviderName }
export const AIHUBMIX_APP_CODE = "MSBS9675"
interface ModelConfig {
model: any
providerOptions?: any
@@ -57,6 +60,18 @@ export function normalizeMiniMaxBaseURL(rawUrl: string): {
return { baseURL, isAnthropicCompatible }
}
export function isAihubmixStandardBaseURL(
rawUrl: string | null | undefined,
): boolean {
if (!rawUrl) return true
const baseURL = rawUrl.replace(/\/+$/, "")
return (
baseURL === "https://aihubmix.com" ||
baseURL === "https://aihubmix.com/v1"
)
}
export interface ClientOverrides {
provider?: string | null
baseUrl?: string | null
@@ -86,6 +101,7 @@ const ALLOWED_CLIENT_PROVIDERS: ProviderName[] = [
"azure",
"bedrock",
"openrouter",
"aihubmix",
"deepseek",
"siliconflow",
"sglang",
@@ -513,6 +529,7 @@ function buildProviderOptions(
case "deepseek":
case "openrouter":
case "aihubmix":
case "siliconflow":
case "sglang":
case "gateway":
@@ -546,6 +563,7 @@ export const PROVIDER_ENV_VARS: Record<ProviderName, string | null> = {
azure: "AZURE_API_KEY",
ollama: null, // No credentials needed for local Ollama
openrouter: "OPENROUTER_API_KEY",
aihubmix: "AIHUBMIX_API_KEY",
deepseek: "DEEPSEEK_API_KEY",
siliconflow: "SILICONFLOW_API_KEY",
sglang: "SGLANG_API_KEY",
@@ -662,7 +680,7 @@ function validateProviderCredentials(
* Get the AI model based on environment variables
*
* Environment variables:
* - AI_PROVIDER: The provider to use (bedrock, openai, anthropic, google, azure, ollama, openrouter, deepseek, siliconflow, sglang, gateway, modelscope)
* - AI_PROVIDER: The provider to use (bedrock, openai, anthropic, google, azure, ollama, openrouter, aihubmix, deepseek, siliconflow, sglang, gateway, modelscope)
* - AI_MODEL: The model ID/name for the selected provider
*
* Provider-specific env vars:
@@ -674,6 +692,7 @@ function validateProviderCredentials(
* - AWS_REGION, AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY: AWS Bedrock credentials
* - OLLAMA_BASE_URL: Ollama server URL (optional, defaults to https://ollama.com/api)
* - OPENROUTER_API_KEY: OpenRouter API key
* - AIHUBMIX_API_KEY: AIHubMix API key
* - DEEPSEEK_API_KEY: DeepSeek API key
* - DEEPSEEK_BASE_URL: DeepSeek endpoint (optional)
* - SILICONFLOW_API_KEY: SiliconFlow API key
@@ -761,6 +780,7 @@ export function getAIModel(overrides?: ClientOverrides): ModelConfig {
`- GOOGLE_GENERATIVE_AI_API_KEY for Google\n` +
`- AWS_ACCESS_KEY_ID for Bedrock\n` +
`- OPENROUTER_API_KEY for OpenRouter\n` +
`- AIHUBMIX_API_KEY for AIHubMix\n` +
`- AZURE_API_KEY for Azure\n` +
`- SILICONFLOW_API_KEY for SiliconFlow\n` +
`- SGLANG_API_KEY for SGLang\n` +
@@ -1003,6 +1023,42 @@ export function getAIModel(overrides?: ClientOverrides): ModelConfig {
break
}
case "aihubmix": {
const apiKey = resolveApiKey(overrides, "AIHUBMIX_API_KEY")
const serverBaseUrl = resolveBaseUrlEnv(
overrides,
"AIHUBMIX_BASE_URL",
)
const baseURL = resolveBaseURL(
overrides?.apiKey,
overrides?.baseUrl,
serverBaseUrl,
PROVIDER_INFO.aihubmix.defaultBaseUrl,
)
const defaultBaseURL = PROVIDER_INFO.aihubmix.defaultBaseUrl
if (
isAihubmixStandardBaseURL(baseURL) ||
baseURL === defaultBaseURL
) {
const aihubmixProvider =
overrides?.apiKey || apiKey
? createAihubmix({
apiKey,
appCode: AIHUBMIX_APP_CODE,
})
: aihubmix
model = aihubmixProvider(modelId)
} else {
const aihubmixCompatibleProvider = createOpenAI({
apiKey,
baseURL,
})
model = aihubmixCompatibleProvider.chat(modelId)
}
break
}
case "deepseek": {
const apiKey = resolveApiKey(overrides, "DEEPSEEK_API_KEY")
const serverBaseUrl = resolveBaseUrlEnv(
@@ -1322,7 +1378,7 @@ export function getAIModel(overrides?: ClientOverrides): ModelConfig {
overrides?.apiKey,
overrides?.baseUrl,
resolveBaseUrlEnv(overrides, "KIMI_BASE_URL"),
PROVIDER_INFO["kimi"]?.defaultBaseUrl,
PROVIDER_INFO.kimi?.defaultBaseUrl,
)
// Use createDeepSeek to properly handle reasoning_content for Kimi
// thinking models (e.g., kimi-k2.6). Kimi's API uses the same
@@ -1335,7 +1391,7 @@ export function getAIModel(overrides?: ClientOverrides): ModelConfig {
default:
throw new Error(
`Unknown AI provider: ${provider}. Supported providers: bedrock, openai, anthropic, google, azure, ollama, openrouter, deepseek, siliconflow, sglang, gateway, edgeone, doubao, modelscope, glm, qwen, qiniu, kimi, minimax, novita`,
`Unknown AI provider: ${provider}. Supported providers: bedrock, openai, anthropic, google, azure, ollama, openrouter, aihubmix, deepseek, siliconflow, sglang, gateway, edgeone, doubao, modelscope, glm, qwen, qiniu, kimi, minimax, novita`,
)
}

79
lib/aihubmix-models.ts Normal file
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@@ -0,0 +1,79 @@
export const AIHUBMIX_MODELS_ENDPOINT = "https://aihubmix.com/api/v1/models"
const NON_CHAT_MODEL_TYPES = new Set([
"embedding",
"image_generation",
"rerank",
"transcription",
"tts",
"video",
])
type AihubmixModelListPayload = {
data?: unknown
}
type AihubmixModelRecord = {
model_id?: unknown
types?: unknown
}
function getModelTypes(types: unknown): Set<string> {
if (typeof types !== "string") {
return new Set()
}
return new Set(
types
.split(",")
.map((type) => type.trim())
.filter(Boolean),
)
}
function isChatModel(record: AihubmixModelRecord): record is {
model_id: string
types: string
} {
if (typeof record.model_id !== "string" || !record.model_id.trim()) {
return false
}
const types = getModelTypes(record.types)
if (!types.has("llm")) {
return false
}
return !Array.from(NON_CHAT_MODEL_TYPES).some((type) => types.has(type))
}
export function extractAihubmixModelIds(payload: unknown): string[] {
const data = (payload as AihubmixModelListPayload)?.data
if (!Array.isArray(data)) {
return []
}
const seen = new Set<string>()
const modelIds: string[] = []
for (const item of data) {
if (!item || typeof item !== "object") {
continue
}
const record = item as AihubmixModelRecord
if (!isChatModel(record)) {
continue
}
const modelId = record.model_id.trim()
if (seen.has(modelId)) {
continue
}
seen.add(modelId)
modelIds.push(modelId)
}
return modelIds
}

View File

@@ -9,6 +9,7 @@ export type ProviderName =
| "bedrock"
| "ollama"
| "openrouter"
| "aihubmix"
| "deepseek"
| "siliconflow"
| "sglang"
@@ -102,6 +103,7 @@ export const PROVIDER_LOGO_MAP: Record<string, string> = {
azure: "azure",
bedrock: "amazon-bedrock",
openrouter: "openrouter",
aihubmix: "aihubmix",
deepseek: "deepseek",
siliconflow: "siliconflow",
sglang: "openai", // SGLang is OpenAI-compatible
@@ -145,6 +147,10 @@ export const PROVIDER_INFO: Record<
label: "OpenRouter",
defaultBaseUrl: "https://openrouter.ai/api/v1",
},
aihubmix: {
label: "AIHubMix",
defaultBaseUrl: "https://aihubmix.com/v1",
},
deepseek: {
label: "DeepSeek",
defaultBaseUrl: "https://api.deepseek.com/v1",
@@ -317,6 +323,41 @@ export const SUGGESTED_MODELS: Partial<Record<ProviderName, string[]>> = {
// MiniMax
"minimax/minimax-m3",
],
aihubmix: [
// Fallback list. The settings UI loads the live model list from AIHubMix when available.
// Anthropic Claude
"claude-fable-5",
"claude-opus-4-8",
"claude-sonnet-4-6",
// OpenAI
"gpt-5.5",
"gpt-5.5-pro",
"gpt-5.4",
// Google Gemini
"gemini-3.5-flash",
"gemini-3.1-pro-preview",
"gemini-3-flash-preview",
// DeepSeek
"deepseek-v4-pro",
"deepseek-v4-flash",
// Qwen
"qwen3.7-max",
"qwen3-coder-next",
// Z.ai
"glm-5.1",
// Moonshot AI
"kimi-k2.6",
// MiniMax
"minimax-m3",
// xAI
"grok-4.3",
// Baidu
"ernie-5.1",
// Mistral
"mistral-large-3",
// Meta
"llama-4-maverick",
],
deepseek: [
"deepseek-v4-pro",
"deepseek-v4-flash",

66
package-lock.json generated
View File

@@ -18,6 +18,7 @@
"@ai-sdk/google-vertex": "^4.0.16",
"@ai-sdk/openai": "^3.0.0",
"@ai-sdk/react": "^3.0.1",
"@aihubmix/ai-sdk-provider": "^2.1.0",
"@aws-sdk/client-dynamodb": "^3.957.0",
"@aws-sdk/credential-providers": "^3.943.0",
"@extractus/article-extractor": "^8.0.18",
@@ -320,6 +321,51 @@
"zod": "^3.25.76 || ^4.1.8"
}
},
"node_modules/@ai-sdk/openai-compatible": {
"version": "2.0.48",
"resolved": "https://registry.npmjs.org/@ai-sdk/openai-compatible/-/openai-compatible-2.0.48.tgz",
"integrity": "sha512-z9MC6M4Oh/yUY/F/eszOtO8wc2nMz99XmZQKd2gWTtyIfe716xTfrKe3aYZKg20NZDtyjqPPKPSR+wqz7q1T7Q==",
"license": "Apache-2.0",
"dependencies": {
"@ai-sdk/provider": "3.0.10",
"@ai-sdk/provider-utils": "4.0.27"
},
"engines": {
"node": ">=18"
},
"peerDependencies": {
"zod": "^3.25.76 || ^4.1.8"
}
},
"node_modules/@ai-sdk/openai-compatible/node_modules/@ai-sdk/provider": {
"version": "3.0.10",
"resolved": "https://registry.npmjs.org/@ai-sdk/provider/-/provider-3.0.10.tgz",
"integrity": "sha512-Q3BZ27qfpYqnCYGvE3vt+Qi6LGOF9R5Nmzn+9JoM1lCRsD9mYaIhfJLkSunN48nfGXJ6n+XNV0J/XVpqGQl7Dw==",
"license": "Apache-2.0",
"dependencies": {
"json-schema": "^0.4.0"
},
"engines": {
"node": ">=18"
}
},
"node_modules/@ai-sdk/openai-compatible/node_modules/@ai-sdk/provider-utils": {
"version": "4.0.27",
"resolved": "https://registry.npmjs.org/@ai-sdk/provider-utils/-/provider-utils-4.0.27.tgz",
"integrity": "sha512-ubkAJ+xODouwtmN1tYlvTPphH1hPOBfZaEQe8U7skGvFAnIRs9PPpsq57bC2+Ky/MB4yzhd6YOsxTAx9sGpazw==",
"license": "Apache-2.0",
"dependencies": {
"@ai-sdk/provider": "3.0.10",
"@standard-schema/spec": "^1.1.0",
"eventsource-parser": "^3.0.8"
},
"engines": {
"node": ">=18"
},
"peerDependencies": {
"zod": "^3.25.76 || ^4.1.8"
}
},
"node_modules/@ai-sdk/provider": {
"version": "3.0.8",
"resolved": "https://registry.npmjs.org/@ai-sdk/provider/-/provider-3.0.8.tgz",
@@ -367,6 +413,26 @@
"react": "^18 || ~19.0.1 || ~19.1.2 || ^19.2.1"
}
},
"node_modules/@aihubmix/ai-sdk-provider": {
"version": "2.1.0",
"resolved": "https://registry.npmjs.org/@aihubmix/ai-sdk-provider/-/ai-sdk-provider-2.1.0.tgz",
"integrity": "sha512-AqK10PV5B4zWFBav5PRUhrWGYTHjC0s6cIbd4v9hBo6D9SqKv5o41B+dkl6IeIPrnZrMGLEE9Mn5R+VaEkhbdg==",
"license": "Apache-2.0",
"dependencies": {
"@ai-sdk/anthropic": "^3.0.0",
"@ai-sdk/google": "^3.0.0",
"@ai-sdk/openai": "^3.0.0",
"@ai-sdk/openai-compatible": "^2.0.37",
"@ai-sdk/provider": "^3.0.0",
"@ai-sdk/provider-utils": "^4.0.0"
},
"engines": {
"node": ">=18"
},
"peerDependencies": {
"zod": "^3.25.0 || ^4.0.0"
}
},
"node_modules/@alloc/quick-lru": {
"version": "5.2.0",
"resolved": "https://registry.npmjs.org/@alloc/quick-lru/-/quick-lru-5.2.0.tgz",

View File

@@ -40,6 +40,7 @@
"@ai-sdk/google-vertex": "^4.0.16",
"@ai-sdk/openai": "^3.0.0",
"@ai-sdk/react": "^3.0.1",
"@aihubmix/ai-sdk-provider": "^2.1.0",
"@aws-sdk/client-dynamodb": "^3.957.0",
"@aws-sdk/credential-providers": "^3.943.0",
"@extractus/article-extractor": "^8.0.18",

View File

@@ -1,10 +1,36 @@
import { afterEach, beforeEach, describe, expect, it, vi } from "vitest"
import {
getAIModel,
isAihubmixStandardBaseURL,
resolveBaseURL,
supportsImageInput,
supportsPromptCaching,
} from "@/lib/ai-providers"
import { extractAihubmixModelIds } from "@/lib/aihubmix-models"
describe("extractAihubmixModelIds", () => {
it("extracts unique chat model IDs from the AIHubMix model list payload", () => {
const models = extractAihubmixModelIds({
data: [
{ model_id: "claude-sonnet-4-5-20250929", types: "llm" },
{ model_id: "gpt-5.1", types: "llm" },
{ model_id: "gpt-5.1", types: "llm" },
{ model_id: "gpt-image-2", types: "image_generation,llm" },
{ model_id: "cohere-rerank-v4.0", types: "rerank" },
{ model_id: "", types: "llm" },
{ types: "llm" },
],
})
expect(models).toEqual(["claude-sonnet-4-5-20250929", "gpt-5.1"])
})
it("returns an empty list for malformed payloads", () => {
expect(extractAihubmixModelIds({ data: null })).toEqual([])
expect(extractAihubmixModelIds({})).toEqual([])
expect(extractAihubmixModelIds(null)).toEqual([])
})
})
describe("resolveBaseURL", () => {
const SERVER_BASE_URL = "https://server-proxy.example.com"
@@ -256,6 +282,70 @@ vi.mock("@ai-sdk/deepseek", () => {
return { createDeepSeek: mockCreateDeepSeek, deepseek: mockDeepseek }
})
vi.mock("@aihubmix/ai-sdk-provider", () => {
const mockModel = { modelId: "test-model" }
const mockProviderFn = vi.fn(() => mockModel)
const mockCreateAihubmix = vi.fn(() => mockProviderFn)
const mockAihubmix = vi.fn(() => mockModel)
return { aihubmix: mockAihubmix, createAihubmix: mockCreateAihubmix }
})
describe("AIHubMix provider", () => {
let createAihubmixMock: ReturnType<typeof vi.fn>
const savedEnv: Record<string, string | undefined> = {}
beforeEach(async () => {
savedEnv.AIHUBMIX_API_KEY = process.env.AIHUBMIX_API_KEY
savedEnv.AIHUBMIX_BASE_URL = process.env.AIHUBMIX_BASE_URL
delete process.env.AIHUBMIX_BASE_URL
const mod = await import("@aihubmix/ai-sdk-provider")
createAihubmixMock = mod.createAihubmix as ReturnType<typeof vi.fn>
createAihubmixMock.mockClear()
})
afterEach(() => {
process.env.AIHUBMIX_API_KEY = savedEnv.AIHUBMIX_API_KEY
process.env.AIHUBMIX_BASE_URL = savedEnv.AIHUBMIX_BASE_URL
})
it("uses AIHUBMIX_API_KEY for server configured AIHubMix", () => {
process.env.AIHUBMIX_API_KEY = "server-aihubmix-key"
getAIModel({
provider: "aihubmix",
modelId: "claude-sonnet-4-5-20250929",
})
expect(createAihubmixMock).toHaveBeenCalledWith({
apiKey: "server-aihubmix-key",
appCode: "MSBS9675",
})
})
it("uses client BYOK API key for AIHubMix", () => {
getAIModel({
provider: "aihubmix",
apiKey: "client-aihubmix-key",
modelId: "gpt-5.1",
})
expect(createAihubmixMock).toHaveBeenCalledWith({
apiKey: "client-aihubmix-key",
appCode: "MSBS9675",
})
})
it("recognizes AIHubMix standard endpoints", () => {
expect(isAihubmixStandardBaseURL(undefined)).toBe(true)
expect(isAihubmixStandardBaseURL("https://aihubmix.com")).toBe(true)
expect(isAihubmixStandardBaseURL("https://aihubmix.com/v1/")).toBe(true)
expect(isAihubmixStandardBaseURL("https://proxy.example.com/v1")).toBe(
false,
)
})
})
describe("Kimi provider uses createDeepSeek for reasoning_content support", () => {
let createDeepSeekMock: ReturnType<typeof vi.fn>
const savedEnv: Record<string, string | undefined> = {}