一把 API Key，
调用 OpenAI、Claude、Gemini
与国产模型

from openai import OpenAIclient = OpenAI(base_url="https://www.vibeapi.cn/v1", api_key="YOUR_API_KEY")stream = client.responses.create(    model="gpt-6-astra",    input="用一句话解释什么是幂等。",    stream=True,)for event in stream:    if event.type == "response.output_text.delta":        print(event.delta, end="", flush=True)

import OpenAI from "openai";const client = new OpenAI({ baseURL: "https://www.vibeapi.cn/v1", apiKey: "YOUR_API_KEY" });const stream = await client.responses.create({  model: "gpt-6-astra",  input: "用一句话解释什么是幂等。",  stream: true,});for await (const event of stream) {  if (event.type === "response.output_text.delta")    process.stdout.write(event.delta);}

curl -N https://www.vibeapi.cn/v1/responses \  -H "Authorization: Bearer $API_KEY" \  -H "Content-Type: application/json" \  -d '{    "model": "gpt-6-astra",    "input": "用一句话解释什么是幂等。",    "stream": true  }'

from openai import OpenAIclient = OpenAI(base_url="https://www.vibeapi.cn/v1", api_key="YOUR_API_KEY")stream = client.chat.completions.create(    model="deepseek-v4-pro",    messages=[{"role": "user", "content": "用一句话解释什么是幂等。"}],    stream=True,)for chunk in stream:    delta = chunk.choices[0].delta.content    if delta:        print(delta, end="", flush=True)

import OpenAI from "openai";const client = new OpenAI({ baseURL: "https://www.vibeapi.cn/v1", apiKey: "YOUR_API_KEY" });const stream = await client.chat.completions.create({  model: "deepseek-v4-pro",  messages: [{ role: "user", content: "用一句话解释什么是幂等。" }],  stream: true,});for await (const chunk of stream) {  process.stdout.write(chunk.choices[0]?.delta?.content ?? "");}

curl -N https://www.vibeapi.cn/v1/chat/completions \  -H "Authorization: Bearer $API_KEY" \  -H "Content-Type: application/json" \  -d '{    "model": "deepseek-v4-pro",    "messages": [{"role": "user", "content": "用一句话解释什么是幂等。"}],    "stream": true  }'

import anthropicclient = anthropic.Anthropic(base_url="https://www.vibeapi.cn", api_key="YOUR_API_KEY")with client.messages.stream(    model="claude-opus-5",    max_tokens=1024,    messages=[{"role": "user", "content": "用一句话解释什么是幂等。"}],) as stream:    for text in stream.text_stream:        print(text, end="", flush=True)

import Anthropic from "@anthropic-ai/sdk";const client = new Anthropic({ baseURL: "https://www.vibeapi.cn", apiKey: "YOUR_API_KEY" });const stream = await client.messages.create({  model: "claude-opus-5",  max_tokens: 1024,  messages: [{ role: "user", content: "用一句话解释什么是幂等。" }],  stream: true,});for await (const event of stream) {  if (event.type === "content_block_delta" && event.delta.type === "text_delta")    process.stdout.write(event.delta.text);}

curl -N https://www.vibeapi.cn/v1/messages \  -H "Authorization: Bearer $API_KEY" \  -H "anthropic-version: 2023-06-01" \  -H "Content-Type: application/json" \  -d '{    "model": "claude-opus-5",    "max_tokens": 1024,    "messages": [{"role": "user", "content": "用一句话解释什么是幂等。"}],    "stream": true  }'

from google import genaifrom google.genai import typesclient = genai.Client(    api_key="YOUR_API_KEY",    http_options=types.HttpOptions(base_url="https://www.vibeapi.cn"),)for chunk in client.models.generate_content_stream(    model="gemini-3.8-flash",    contents="用一句话解释什么是幂等。",):    if chunk.text:        print(chunk.text, end="", flush=True)

import { GoogleGenAI } from "@google/genai";const ai = new GoogleGenAI({  apiKey: "YOUR_API_KEY",  httpOptions: { baseUrl: "https://www.vibeapi.cn" },});const stream = await ai.models.generateContentStream({  model: "gemini-3.8-flash",  contents: "用一句话解释什么是幂等。",});for await (const chunk of stream) {  if (chunk.text) process.stdout.write(chunk.text);}

curl -N "https://www.vibeapi.cn/v1beta/models/gemini-3.8-flash:streamGenerateContent" \  -H "Authorization: Bearer $API_KEY" \  -H "Content-Type: application/json" \  -d '{    "contents": [{"role": "user", "parts": [{"text": "用一句话解释什么是幂等。"}]}]  }'