发出第一个请求

curl https://openp.ai/v1/chat/completions \
  -H "Authorization: Bearer $OPENPAI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-5.5",
    "messages": [
      {"role": "user", "content": "用一句话解释什么是 RAG"}
    ]
  }'

{
  "id": "chatcmpl-...",
  "object": "chat.completion",
  "model": "gpt-5.5",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "RAG(检索增强生成)是一种把外部知识检索结果作为上下文输入大模型,以提高回答准确性的技术。"
      },
      "finish_reason": "stop"
    }
  ],
  "usage": { "prompt_tokens": 21, "completion_tokens": 41, "total_tokens": 62 }
}

pip install openai

from openai import OpenAI

client = OpenAI(
    api_key="sk-XXXXXXXXXXXXXXXX",
    base_url="https://openp.ai/v1",
)

resp = client.chat.completions.create(
    model="gpt-5.5",
    messages=[
        {"role": "system", "content": "你是一名资深产品经理。"},
        {"role": "user", "content": "帮我写 3 条 OpenPAI 的卖点。"},
    ],
)

print(resp.choices[0].message.content)
print("Tokens used:", resp.usage.total_tokens)

npm install openai

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.OPENPAI_API_KEY!,
  baseURL: "https://openp.ai/v1",
});

const resp = await client.chat.completions.create({
  model: "gpt-5.5",
  messages: [
    { role: "system", content: "你是一名资深产品经理。" },
    { role: "user", content: "帮我写 3 条 OpenPAI 的卖点。" },
  ],
});

console.log(resp.choices[0].message.content);

stream = client.chat.completions.create(
    model="gpt-5.5",
    messages=[{"role": "user", "content": "讲一个 100 字的科幻短故事"}],
    stream=True,
)

for chunk in stream:
    delta = chunk.choices[0].delta.content or ""
    print(delta, end="", flush=True)