直通未来的
AI 接口中转

仅需一个 API Key，即可解锁 GPT-5.1、Claude Opus 4.5、Gemini 3.0 Pro 等 500+ 顶尖模型。企业级稳健性，开发者亲和，大幅缩减 70% 成本。

99.9% 稳定运行

兼容 OpenAI 格式

拒绝隐形消费

main.py

from openai import OpenAI # 1. 更换 Base URL (仅需这一步) client = OpenAI( base_url="https://api.token502.com/v1", api_key="sk-token502..." ) # 2. 像往常一样调用 response = client.chat.completions.create( model="gpt-4o", # 或 claude-3-5-sonnet messages= [ {"role": "user", "content": "Hello, Future!"} ] ) print(response.choices[0].message.content)

Python 3.11 â Connected (28ms)

全模态潜力无限

突破界限。在一个平台上聚合最前沿的文本、图像、语音和视频模型。

如何利用 Python 编写快速排序算法？

快速排序是一种高效的排序算法，采用分治策略。以下是 Python 代码实现：

Thinking...

Input Text

"Artificial Intelligence"

Vector [1536 dimensions] â Processing

[-0.0124, 0.0458, -0.0231, 0.0892, -0.1023, 0.0045, 0.0678, -0.0567, 0.0123, -0.0345, 0.0789, -0.0901, ... ]

GitHub Copilot Response

# Python script for market analysis
import pandas as pd
import numpy as np

def analyze_trends(data):
"""Calculate moving averages"""
data['MA50'] = data['Close'].rolling(50).mean()
return data

Prompt

Cyberpunk city street at night, neon lights reflecting on wet pavement, futuristic architecture, cinematic lighting, 8k resolution --v 6.0

Generating Video Frame 128/240...