Cursor API 文档与快速入门
这款无审查的LLM采用OpenAI兼容API运行，允许您接入自己的Cursor API密钥，或生成新密钥以实现直接集成。
认证与基础 URL 设置
首先将客户端指向基础 URL https://api.cursorapi.cc/v1 并在授权标头中传递您的密钥。系统使用标准的 Bearer 令牌认证，因此一旦更新端点，任何 OpenAI SDK 均可开箱即用。
向 /v1/chat/completions 发送请求
向 POST /v1/chat/completions 将模型 ID 设置为 uncensored. 该模型针对合法成人内容无审查地回答，让您完全控制输出。您只为实际的 token 使用付费，错误是免费的，确保您不会因静默失败而浪费信用额度。
cURL
curl https://api.cursorapi.cc/v1/chat/completions \
-H "Authorization: Bearer $API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "uncensored",
"messages": [{"role": "user", "content": "Summarize the key differences between the two models."}]
}'Python
from openai import OpenAI
client = OpenAI(base_url="https://api.cursorapi.cc/v1", api_key="YOUR_KEY")
resp = client.chat.completions.create(
model="uncensored",
messages=[{"role": "user", "content": "Summarise this thread without softening it."}],
)
print(resp.choices[0].message.content)Node.js
import OpenAI from "openai";
const client = new OpenAI({ baseURL: "https://api.cursorapi.cc/v1", apiKey: process.env.API_KEY });
const resp = await client.chat.completions.create({
model: "uncensored",
messages: [{ role: "user", content: "Draft a villain monologue for my game." }],
});
console.log(resp.choices[0].message.content);流式传输
stream = client.chat.completions.create(
model="uncensored",
messages=[{"role": "user", "content": "Tell the story in second person."}],
stream=True,
)
for chunk in stream:
if chunk.choices and chunk.choices[0].delta.content:
print(chunk.choices[0].delta.content, end="", flush=True)