Documentation Index
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
获取 Relay Key，把 OpenAI SDK 指到 Auto Router，发出第一个请求。
https://api.pipellm.ai/v1。如果你已经在用 Anthropic 或 Gemini 客户端，后面再看其他协议即可。
创建 API Key
安装 OpenAI SDK
pip install openai
npm install openai
发送对话请求
gpt-5 换成 GET /v1/models 里当前可用的模型 ID。import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["PIPELLM_API_KEY"],
base_url="https://api.pipellm.ai/v1",
)
response = client.chat.completions.create(
model="gpt-5",
messages=[{"role": "user", "content": "你好"}],
)
print(response.choices[0].message.content)
import OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.PIPELLM_API_KEY,
baseURL: "https://api.pipellm.ai/v1",
});
const response = await client.chat.completions.create({
model: "gpt-5",
messages: [{ role: "user", content: "你好" }],
});
console.log(response.choices[0].message.content);
curl https://api.pipellm.ai/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $PIPELLM_API_KEY" \
-d '{
"model": "gpt-5",
"messages": [{"role": "user", "content": "你好"}]
}'
Anthropic SDK
import anthropic
client = anthropic.Anthropic(
api_key="...",
base_url="https://api.pipellm.ai",
)
message = client.messages.create(
model="claude-sonnet-4-6",
max_tokens=1024,
messages=[{"role": "user", "content": "你好"}],
)
Gemini SDK
from google import genai
client = genai.Client(
api_key="...",
http_options={"base_url": "https://api.pipellm.ai"},
)
response = client.models.generate_content(
model="gemini-3-flash-preview",
contents="你好",
)
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