一个 sk- key,
覆盖所有主流模型。

https://deepflow.online/v1

# OpenAI Chat Completions · 流式
curl https://deepflow.online/v1/chat/completions \
  -H "Authorization: Bearer $DEEPFLOW_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-5.5",
    "messages": [{"role":"user","content":"你好"}],
    "stream": true
  }'

# pip install openai
from openai import OpenAI
import os

client = OpenAI(
    api_key=os.environ["DEEPFLOW_KEY"],
    base_url="https://deepflow.online/v1",
)
resp = client.chat.completions.create(
    model="gpt-5.5",
    messages=[{"role":"user","content":"你好"}],
    stream=True,
)
for chunk in resp:
    print(chunk.choices[0].delta.content or "", end="")

// npm i openai
import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.DEEPFLOW_KEY,
  baseURL: "https://deepflow.online/v1",
});
const stream = await client.chat.completions.create({
  model: "gpt-5.5",
  messages: [{ role:"user", content:"你好" }],
  stream: true,
});
for await (const chunk of stream) {
  process.stdout.write(chunk.choices[0]?.delta?.content ?? "");
}

# pip install anthropic
from anthropic import Anthropic

client = Anthropic(
    api_key="sk-...",
    base_url="https://deepflow.online",  # 注意没 /v1
)
msg = client.messages.create(
    model="claude-opus-4-7",
    max_tokens=1024,
    messages=[{"role":"user","content":"你好"}],
)
print(msg.content[0].text)

with client.messages.stream(
    model="claude-sonnet-4-6",
    max_tokens=2048,
    messages=[{"role":"user","content":"讲个故事"}],
) as stream:
    for text in stream.text_stream:
        print(text, end="", flush=True)