OpenAI 兼容 API 文档
在几分钟内使用标准的 OpenAI 兼容客户端开始使用我们的无审查 LLM API。此快速入门指南引导您完成身份验证、第一次请求以及流式传输设置。
认证与基础 URL
在仪表板生成您的密钥。使用 HTTPS://api.keyapiseekdeep.com/v1 作为基础 URL,并在 Authorization 请求头中传入您的密钥。此设置适用于任何标准 SDK。
curl https://api.keyapiseekdeep.com/v1/chat/completions \
-H "Authorization: Bearer $API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "uncensored",
"messages": [{"role": "user", "content": "What is my API key expiration date"}]
}'您的密钥在账户中是唯一的,并会立即替换之前的任何密钥。
首次使用Python的请求
使用官方 Python SDK 发送文本补全。将 base URL 设置为我们的端点,并使用模型 ID "uncensored"。
from openai import OpenAI
client = OpenAI(base_url="https://api.keyapiseekdeep.com/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)此请求发送简单提示并返回生成的文本。无需复杂配置。
Node.js
import OpenAI from "openai";
const client = new OpenAI({ baseURL: "https://api.keyapiseekdeep.com/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)