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

79
lib/aihubmix-models.ts Normal file
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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
}