Documentation Index
Fetch the complete documentation index at: https://docs.aihubmix.com/llms.txt
Use this file to discover all available pages before exploring further.
1. 核心整合模式
1.1 統一驗證與路由
// Core logic: Replace API Key, Base URL, add APP-Code
const config = {
apiKey: 'your-aihubmix-api-key', // Replace with aihubmix API Key
baseURL: 'https://aihubmix.com', // Replace with aihubmix gateway
headers: {
'APP-Code': 'App Code' // App Code can be obtained from https://aihubmix.com/appstore
}
};
// Model routing rules
function routeModel(modelName: string) {
if (modelName.startsWith('claude')) {
// Claude models: Use Anthropic SDK
return 'anthropic';
} else if (modelName.startsWith('gemini') && !modelName.endsWith('-nothink') && !modelName.endsWith('-search')) {
// Gemini models: Use Google SDK, endpoint https://aihubmix.com/gemini
return 'gemini';
} else {
// Other models: Use OpenAI compatible interface
return 'openai';
}
}
# Core logic: Replace API Key, Base URL, add APP-Code
credentials = {
"api_key": "your-aihubmix-api-key", # Replace with aihubmix API Key
"base_url": "https://aihubmix.com", # Replace with aihubmix gateway
"extra_headers": {
"APP-Code": "App Code" # App Code can be obtained from https://aihubmix.com/appstore
}
}
# Model routing rules
def route_model(model_name: str):
if model_name.startswith("claude"):
# Claude models: Use Anthropic SDK
return "anthropic"
elif model_name.startswith("gemini") and not model_name.endswith(("-nothink", "-search")):
# Gemini models: Use Google SDK, endpoint https://aihubmix.com/gemini
return "gemini"
else:
# Other models: Use OpenAI compatible interface
return "openai"
1.2 特殊處理要點
- 空 Tools 修正:當
tools=[] 且 tool_choice 存在時,自動移除 tool_choice
- 檔案副檔名:依據
mediaType 自動設定正確的檔案副檔名
- 快取控制:支援透過
<cache> 標籤進行快取控制
2. 統一整合實作
2.1 核心 Client 封裝
class AihubmixModelClient {
private config: {
apiKey: string;
baseURL: string;
appCode: string;
};
constructor(apiKey: string) {
this.config = {
apiKey,
baseURL: 'https://aihubmix.com',
appCode: 'App Code can be obtained from https://aihubmix.com/appstore'
};
}
async chatCompletion(model: string, messages: any[], options: any = {}) {
// Automatically route to corresponding SDK based on model name
if (model.startsWith('claude')) {
return this.claudeCompletion(model, messages, options);
} else if (model.startsWith('gemini')) {
return this.geminiCompletion(model, messages, options);
} else {
return this.openaiCompletion(model, messages, options);
}
}
private async claudeCompletion(model: string, messages: any[], options: any) {
const { Anthropic } = await import('@anthropic-ai/sdk');
const client = new Anthropic({
apiKey: this.config.apiKey,
baseURL: this.config.baseURL,
defaultHeaders: { 'APP-Code': this.config.appCode }
});
return client.messages.create({ model, messages, ...options });
}
private async geminiCompletion(model: string, messages: any[], options: any) {
const { GoogleGenerativeAI } = await import('@google/generative-ai');
const genAI = new GoogleGenerativeAI(this.config.apiKey, {
baseURL: `${this.config.baseURL}/gemini/v1beta`,
defaultHeaders: { 'APP-Code': this.config.appCode }
});
const genModel = genAI.getGenerativeModel({ model });
return genModel.generateContent(messages);
}
private async openaiCompletion(model: string, messages: any[], options: any) {
const OpenAI = await import('openai');
const client = new OpenAI.default({
apiKey: this.config.apiKey,
baseURL: `${this.config.baseURL}/v1`,
defaultHeaders: { 'APP-Code': this.config.appCode }
});
return client.chat.completions.create({ model, messages, ...options });
}
}
// Usage example
const client = new AihubmixModelClient('your-aihubmix-api-key');
await client.chatCompletion('gpt-4o-mini', messages);
await client.chatCompletion('claude-3-5-sonnet-20241022', messages);
await client.chatCompletion('gemini-2.5-flash', messages);
class AihubmixModelClient:
def __init__(self, api_key: str):
self.api_key = api_key
self.base_url = "https://aihubmix.com"
self.headers = {
"Authorization": f"Bearer {api_key}",
"APP-Code": "App Code can be obtained from https://aihubmix.com/appstore"
}
def chat_completion(self, model: str, messages: list, **kwargs):
"""Unified chat completion interface"""
if model.startswith("claude"):
return self._claude_completion(model, messages, **kwargs)
elif model.startswith("gemini"):
return self._gemini_completion(model, messages, **kwargs)
else:
return self._openai_completion(model, messages, **kwargs)
def _claude_completion(self, model: str, messages: list, **kwargs):
import anthropic
client = anthropic.Anthropic(
api_key=self.api_key,
base_url=self.base_url,
extra_headers={"APP-Code": "App Code can be obtained from https://aihubmix.com/appstore"}
)
return client.messages.create(model=model, messages=messages, **kwargs)
def _gemini_completion(self, model: str, messages: list, **kwargs):
import google.generativeai as genai
genai.configure(
api_key=self.api_key,
client_options={"api_endpoint": f"{self.base_url}/gemini/v1beta"}
)
genai._client._http_client._session.headers.update({"APP-Code": "App Code can be obtained from https://aihubmix.com/appstore"})
model_instance = genai.GenerativeModel(model)
return model_instance.generate_content(messages)
def _openai_completion(self, model: str, messages: list, **kwargs):
import openai
client = openai.OpenAI(
api_key=self.api_key,
base_url=f"{self.base_url}/v1",
extra_headers={"APP-Code": "App Code can be obtained from https://aihubmix.com/appstore"}
)
return client.chat.completions.create(model=model, messages=messages, **kwargs)
# Usage example
client = AihubmixModelClient("your-aihubmix-api-key")
await client.chat_completion("gpt-4o-mini", messages)
await client.chat_completion("claude-3-5-sonnet-20241022", messages)
await client.chat_completion("gemini-2.5-flash", messages)
2.2 特殊處理與工具函式
// Empty tools fix
function fixToolChoice(requestBody: any): any {
if (requestBody.tools?.length === 0 && requestBody.tool_choice) {
delete requestBody.tool_choice;
}
return requestBody;
}
// File extension mapping
function setFileExtension(mediaType: string): string {
const mimeToExt: Record<string, string> = {
'audio/mpeg': 'mp3', 'audio/wav': 'wav', 'audio/flac': 'flac'
};
return mimeToExt[mediaType] || 'bin';
}
// Cache control
function processCacheTags(content: string): { content: string; cacheControl?: any } {
if (content.includes('<cache>')) {
return { content: content.replace('<cache>', ''), cacheControl: { type: 'ephemeral' } };
}
return { content };
}
# Empty tools fix
def fix_tool_choice(request_body: dict) -> dict:
if request_body.get("tools") == [] and "tool_choice" in request_body:
del request_body["tool_choice"]
return request_body
# File extension mapping
def set_file_extension(media_type: str) -> str:
mime_to_ext = {
'audio/mpeg': 'mp3', 'audio/wav': 'wav', 'audio/flac': 'flac'
}
return mime_to_ext.get(media_type, 'bin')
# Cache control
def process_cache_tags(content: str):
if "<cache>" in content:
return {
"content": content.replace("<cache>", ""),
"cache_control": {"type": "ephemeral"}
}
return {"content": content}
3. 部署與設定
3.1 環境變數
const config = {
apiKey: process.env.AIHUBMIX_API_KEY || '',
baseURL: process.env.AIHUBMIX_BASE_URL || 'https://aihubmix.com',
appCode: process.env.AIHUBMIX_APP_CODE || 'App Code can be obtained from https://aihubmix.com/appstore'
};
import os
config = {
"api_key": os.getenv("AIHUBMIX_API_KEY", ""),
"base_url": os.getenv("AIHUBMIX_BASE_URL", "https://aihubmix.com"),
"app_code": os.getenv("AIHUBMIX_APP_CODE", "App Code can be obtained from https://aihubmix.com/appstore")
}
3.2 錯誤處理
class AihubmixError extends Error {
constructor(message: string, public code?: string, public status?: number) {
super(message);
this.name = 'AihubmixError';
}
}
function handleAihubmixErrors(error: any): AihubmixError {
const message = error.message || 'Unknown error';
if (message.toLowerCase().includes('rate limit')) {
return new AihubmixError('Rate limit exceeded', 'RATE_LIMIT', 429);
} else if (message.toLowerCase().includes('unauthorized')) {
return new AihubmixError('Authentication failed', 'AUTH_ERROR', 401);
} else {
return new AihubmixError(message, error.code, error.status);
}
}
class AihubmixError(Exception):
def __init__(self, message: str, code: str = None, status: int = None):
super().__init__(message)
self.code = code
self.status = status
def handle_aihubmix_errors(e: Exception) -> AihubmixError:
message = str(e).lower()
if "rate limit" in message:
return AihubmixError("Rate limit exceeded", "RATE_LIMIT", 429)
elif "unauthorized" in message:
return AihubmixError("Authentication failed", "AUTH_ERROR", 401)
else:
return AihubmixError(f"Request failed: {e}")
4. 參考實作與對齊檢查清單
4.1 cherry-studio Client 參考(TypeScript)
下列來自 cherry-studio 的 AihubmixAPIClient.ts 的關鍵要點,可作為第三方前端/桌面應用程式在 TypeScript 端整合 aihubmix 的落地模式:
- 統一加入折扣碼:在 Provider 層合併
extra_headers 並設定 APP-Code(專案中使用 MLTG2087)
- 多 client 路由:
claude* → 使用 Anthropic client
- 未以
-nothink/-search 結尾且不包含 embedding 的 gemini*/imagen* → 使用 Gemini client(apiHost: https://aihubmix.com/gemini)
- OpenAI 系列(不包含
gpt-oss)→ 使用 OpenAI 相容 response client
- 其他 → 預設使用 OpenAI client
- BaseURL 取得:從目前路由所對應的具體 client 匯出,維持各供應商的端點差異
4.2 dify-plugin-aihubmix 參考(Python)
下列來自 dify-plugin-aihubmix 實作的關鍵要點,可作為第三方 Python 工具整合 aihubmix 的落地模式:
- 統一加入折扣碼:在 Provider 層合併
extra_headers 並設定 APP-Code(專案中使用 Dify2025)
- 多 client 路由:
claude* → 使用 Anthropic client
- 未以
-nothink/-search 結尾且不包含 embedding 的 gemini*/imagen* → 使用 Gemini client(apiHost: https://aihubmix.com/gemini)
- OpenAI 系列(不包含
gpt-oss)→ 使用 OpenAI 相容 response client
- 其他 → 預設使用 OpenAI client
- BaseURL 取得:從目前路由所對應的具體 client 匯出,維持各供應商的端點差異
4.3 對齊檢查清單
- Provider 入口統一合併
extra_headers 並注入 APP-Code
- Gemini client 使用
https://aihubmix.com/gemini 作為 apiHost
- 路由規則與
claude*、gemini*/imagen*、OpenAI 系列(不包含 gpt-oss)一致
- 預設使用 OpenAI client,維持 OpenAI 相容介面行為
getBaseURL() 一律從目前路由的 client 匯出,避免硬編碼
5. 遷移檢查清單
- 將 API Key 替換為 aihubmix API Key
- 將 Base URL 替換為
https://aihubmix.com
- 加入
APP-Code 標頭以享有折扣
- 實作模型路由邏輯(claude/gemini/openai)
- 處理 tools 為空時的
tool_choice 修正
- 設定檔案上傳的 MIME 類型處理
- 測試各種模型呼叫
最後更新:2026-06-01